CHAPTER XIX THE KING OF EV If there were any shifting, rot-colored gnomes on the mountainside now, they were silent and respectful. For our adventurers were not annoyed, as before, by their impudent laughter. Really, the gnomes had nothing to laugh at since the defeat of their king. On the other side they found Osmos Golden Chariot standing as they had left it. Soon the lion and the tiger were harnessed to the beautiful chariot in which was enough room for Osma and the queen and six of the royal children. Little Evering preferred to ride with Dorothy upon the saw-horse, which had a long back. The prince had recovered from his shyness and had become very fond of the girl who had rescued him. So they were fast friends and chatted pleasantly together as they rode along. Osma was also perched upon the head of the wooden steed, which seemed not to mind the added weight in the least, and the boy was full of wonder that a hen could talk and say such sensible things. When they came to the gulf, Osma's magic carpet carried them all over in safety, and now they began to pass the trees, which birds were singing, and the breeze that was wafting to them from the farms of Ev was spicy with flowers and new moan hay, and the sunshine fell full upon them to warm them and drive away from their bodies the chill and dampness of the underground kingdom of the gnomes. He was a fine fellow, replied Tiktok, although his material was not very durable. Oh, Tin is an excellent material, the scarecrow hastened to say, and if anything ever happened to poor Nick Chopper, he was always easily soldered. Besides, he did not have to be wound up, and was not liable to get out of order. I sometimes wish, said Tiktok, that I was stuffed with straw as you are. It is hard to be made of copper. I have no reason to complain of my lot, replied the scarecrow. A little fresh straw now and then makes me as good as new, but I can never be the polished gentleman that my poor departed friend, the Tin Woodman, was. You may be sure the royal children of Ev and their queen mother were delighted at seeing again their beloved country, and when the towers of the palace of Ev came into view, they could not forbear cheering at the sight. Little Evering, riding in front of Dorothy, was so overjoyed that he took a curious tin whistle from his pocket and blew up shrill blasts that made the saw-horse leap and prance in sudden alarm. What is that? asked Bilna, who had been obliged to flutter her wings in order to keep her seat upon the head of the frightened saw-horse. That's my whistle, said Prince Evering, holding it out upon his hand. It was the shape of a little fat pig, made of tin and painted green. The whistle was in the tail of the pig. Where did you get it? asked the yellow hen, closely examining the toy with her bright eyes. Why, I picked it up in the Gnomes King's palace while Dorothy was making her guesses, and I put it in my pocket. answered the little prince. Bilna laughed, or at least she made the particular crackle that served her for a laugh. Bacca! Bacca! No wonder I couldn't find the tin woodman, she said, and no wonder the magic belt didn't make him appear, or the king couldn't find him either. What do you mean? questioned Dorothy. Why, the prince had him in his pocket. Bacca! Bacca! cried Bilna, crackling again. I did not. protested little Evering. I only took the whistle. Well then, watch me! Returned the hen, and reaching out her claw, she touched the whistle and said, Egg! Swish! Good afternoon! said the tin woodman, taking off his flannel cap and bowing to Dorothy and the prince. I think I must have been asleep for the first time since I was made of tin, for I do not remember our leaving the Gnomes King. You have been enchanted. Answered the girl, throwing an arm around her old friend and hugging him tight in her joy. But it's all right now.  Cush! cautioned Bilna. The whistle is lost, but you may have another when you get home. The scarecrow had fairly thrown himself upon the bosom of his old comrade. So surprised and delighted was he to see him again, and TikTok squeezed the tin woodman's hand so earnestly that he dented some of his fingers. Then they had to make way for Osma to welcome the tin man, and the army caught sight of him, and sent up a cheer, and everyone was delighted and happy. For the tin woodman was a great favorite with all who knew him, and his sudden recovery after they thought he was lost to them forever was indeed a pleasant surprise. Before long the cavalcade arrived at the royal palace, where a great crowd of people had gathered to welcome their queen and her ten children. There was much shouting and cheering, and the people threw flowers in their path, and every face wore a happy smile. They found the princess Lackenwagner in her mirrored chamber where she was admiring one of her handsomest heads, one with rich chestnut hair, dreamy walnut eyes, and a shapely hickory nut nose. She was very glad to be relieved of her duties to the people of Ev, and the queen graciously permitted her to retain her rooms and her cabinet of heads as long as she lived. Then the queen took her eldest son out upon the balcony to overlook the crowd of subjects gathered below and said to them, Here is your future ruler, King Evardo XV. He is fifteen years of age, has fifteen silver buckles on his jacket, and is the fifteenth Evardo to rule the land of Ev. The people shouted their approval fifteen times, and even the wheelers, some of whom were of present, loudly promised to obey the new king. So the queen placed a big crown of gold set with rubies upon Evardo's head and threw an ermine robe over his shoulders, and proclaimed him king, and he bowed gratefully to all his subjects, and then went away to see if he could find any cake in the royal pantry. Osma of Oz and her people, as well as Dorothy, Tiktok, and Bilna, were splendidly entertained by the queen mother, who owed all her happiness to their kind offices, and that evening the yellow hen was publicly presented with a beautiful necklace of pearls and sapphires as a token of esteem from the new king. And of Chapter 19, recorded by Lyle Wilson. Chapter 20 of Osma of Oz Dorothy decided to accept Osma's invitation to return with her to the land of Oz. There was no greater chance of her getting home from Ev than from Oz, and the little girl was anxious to see once more the country where she had encountered such wonderful adventures. By this time Uncle Henry would have reached Australia in his ship, and had probably given her up for last. So he couldn't worry any more than he did if she stayed away from him for a little while longer. So she would go to Oz. They bade goodbye to the people of Ev, and the king promised Osma that he would ever be grateful to her and render the land of Oz any service that might lie within his power. And then they approached the edge of the dangerous desert, and Osma threw down the magic carpet, which at once unrolled far enough for all of them to walk upon it without being crowded. TikTok, claiming to be Dorothy's faithful follower because he belonged to her, had been permitted to join the party, and before they started the girl wound up his machinery as far as possible. And the copper man stepped off as briskly as any one of them. Osma also invited Bilna to visit the land of Oz, and the yellow hen was glad enough to go where new sights and scenes awaited her. They began the trip across the desert early in the morning, and as they stopped only long enough for Bilna to lay her daily egg, Before sunset they aspired the green slopes and wooded hills of the beautiful land of Oz. They entered it in the Munchkin territory, and the king of the Munchkins met them at the border and welcomed Osma with great respect, being very pleased by her safe return. For Osma of Oz ruled the king of the Munchkins, the king of the Winx, the king of the Quadlings, and the king of the Gulkons just as those kings ruled their own people, and this supreme ruler of the land of Oz lived in a great town of Rhone called the Emerald City, which was in the exact center of the four kingdoms of the land of Oz. The Munchkin king entertained them at his palace that night, and in the morning they set out for the Emerald City traveling over a road of yellow brick that led straight to the jewel-studded gates. Everywhere the people turned out to greet their beloved Osma, and to hail joyfully the Scarecrow, the Tin Woodmen, and the Cowardly Lion, who were popular favorites. Dorothy too remembered some of the people who had befriended her on the occasion of her first visit to Oz, and they were well pleased to see the little Kansas girl again and showered her with compliments and good wishes. At one place, where they stopped to refresh themselves, Osma accepted a bowl of milk from the hands of a pretty dairymaid. Then she looked at the girl more closely and exclaimed, Why, it's Ginger, isn't it? Yes, Your Highness. Was the reply as Ginger dropped a low curtsy, and Dorothy looking wonderingly at this lively appearing person who had once assembled an army of women to drive the Scarecrow from the throne of the Emerald City, and even fought a battle with the powerful army of Glinda the Sorceress. I've married a man who owns nine cows, said Ginger to Osma. And now I am happy and contented, and willing to lead a quiet life and mind my own business. Where is your husband? Asked Osma. He is in the house, nursing a black eye. Replied Ginger calmly. The foolish man would insist upon milking the red cow when I wanted him to milk the white one, but he will know better next time, I am sure. Then the party moved on again, and after crossing a broad river on a ferry, and passing many fine farm houses that were dome shaped and painted a pretty green color, they came in sight of a large building that was covered with flags and bunting. I don't remember that building, said Dorothy. What is it? That is the College of Art and Athletic Perfection, replied Osma. I had built it quite recently, and the Wogglebug is his president. It keeps him busy, and the young men who attend the college are no worse off than they were before. You see, in this country, there are a number of youths who don't like to work, and the college is a perfect place for them. And now they came in sight of the Emerald City, and the people flocked out to greet their lovely ruler. There were several bands and many officers and officials of the realm, and a crowd of citizens in their holiday attire. Thus the beautiful Osma was escorted by a brilliant procession to her royal city, and so great was the cheering that she was obliged to constantly bow to the right and left to acknowledge the greetings of her subjects. That evening there was a grand reception in the royal palace, attended by the most important persons of Oz. And Jack Pumpkinhead, who was a little overripe but still active, read an address congratulating Osma of Oz upon the success of her generous mission to rescue the royal family of a neighboring kingdom. Then magnificent gold medals set with precious stones were presented to each of the 26 officers, and the 10 woodmen was given a new axe studded with diamonds, and the scarecrow received a silver jar of complexion powder. Dorothy was presented with a pretty cornet and made a princess of Oz, and TikTok received two bracelets set with eight rows of very clear and sparkling emeralds. Afterward they sat down to a splendid feast, and Osma put Dorothy at her right and Vilna at her left, where the hen sat upon a golden roost and ate from a jeweled platter. Then or placed the scarecrow, the 10 woodmen, and TikTok with baskets of lovely flowers before them, because they did not require food. The 26 officers were at the lower end of the table, and the lion and the tiger also had seats and were served on golden platters that held half a bushel at one time. The wealthiest and most important citizens of the emerald city were proud to wait upon these famous adventures, and they were assisted by a sprightly little maid named Jelia Jam, whom the scarecrow pinched upon her rosy cheek and seemed to know very well. During the feast Osma grew thoughtful and suddenly she asked, Where's the private? Oh, he is sweeping out the barracks, replied one of the generals, who was busy eating a leg of turkey. But I have ordered him a dish of bread and molasses to eat when his work is done. Let him be sent for, said the girl ruler. While they waited for this command to be obeyed, she inquired. Have we any other privates in the armies? Oh, yes, replied the ten woodmen. I believe there are three altogether. The private now entered, saluting his officers and the royal Osma very respectfully. What is your name, my man? Asked the girl. Ambi Ambi. Answered the private. Then Ambi Ambi. Said she. I promote you to be captain general of all the armies of my kingdom and especially to be commander of my bodyguard at the royal palace. It is very expensive to hold so many offices. Said the private, hesitatingly. I have no money with which to buy uniforms. You shall be supplied from the royal treasury. Said Osma. Then the private was given a seat at the table where the other officers welcomed him cordially and the feasting and the merriment were resumed. Suddenly, Jelna Jam explained, There is nothing more to eat. The hungry tiger has consumed everything. But that's not the worst of it. Declared the tiger mournfully. Somewhere or somehow, I've actually lost my appetite. End of Chapter 20. Recording by Lyle Wilson. Haymarket, Virginia. August 2009. Chapter 21 of Osma of Oz. This is a LibriVox recording. All LibriVox recordings are in the public domain. For more information or to volunteer, please visit LibriVox.org. Narration for this chapter is provided by Mark Smith of Simpsonville, South Carolina. Osma of Oz. By L. Frank Baum. Chapter 21. Dorothy's Magic Belt. Dorothy passed several very happy weeks in the land of Oz as the guest of the royal Osma who delighted to please and interest the little Kansas girl. Many new acquaintances were formed and many old ones renewed. And wherever she went, Dorothy found herself among friends. One day, however, as she sat in Osma's private room, she noticed hanging upon the wall a picture which constantly changed in appearance, at one time showing a meadow, and at another time a forest, a lake, or a village. How curious! She exclaimed after watching the shifting scenes for a few moments. Yes. Said Osma. That is really a wonderful invention in magic. If I wish to see any part of the world or any person living, I need only express the wish and it is shown in the picture. May I use it? Asked Dorothy eagerly. Of course, my dear. Then I'd like to see the old Kansas farm and Aunt M. Said the girl. Instantly the well-remembered farmhouse appeared in the picture and Aunt M. could be seen quite plainly. She was engaged in washing dishes by the kitchen window and seemed quite well and contented. The hired men and the teams were in the harvest fields behind the house and the corn and wheat seemed to the child to be in prime condition. On the side porch Dorothy's pet dog, Toto, was lying fast asleep in the sun and to her surprise old Speckles was running around with a brood of twelve new chickens trailing after her. Everything seems all right at home. Said Dorothy with a sigh of relief. No, I wonder what Uncle Henry is doing. The scene in the picture at once shifted to Australia where, in a pleasant room in Sydney, Uncle Henry was seated in an easy chair, solemnly smoking his briar pipe. He looked sad and lonely and his hair was now quite white and his hands and face thin and wasted. Oh! cried Dorothy in an anxious voice. I'm sure Uncle Henry isn't getting any better and it's because he is worried about me. Osma, dear, I must go to him at once. How can you? asked Osma. I don't know. replied Dorothy. But let us go to Glinda the Good. I'm sure she will help me and advise me how to get to Uncle Henry. Osma readily agreed to this plan and caused the saw-horse to be harnessed to a pretty green and pink Phaeton and the two girls rode away to visit the famous Sorceress. Glinda received them graciously and listened to Dorothy's story with attention. I have the magic belt, you know. said the little girl. If I buckled it around my waist and commanded it to take me to Uncle Henry, wouldn't it do it? I think so. replied Glinda with a smile. And then, continued Dorothy, if I ever wanted to come back here again the belt would bring me. In that you are wrong, said the Sorceress. The belt has magical powers only while it is in some fairy country such as the land of Oz or the land of Ev. Indeed, my little friend, were you to wear it and wish yourself in Australia with your uncle, the wish would doubtless be fulfilled because it was made in fairy land. But you would not find the magic belt around you when you arrived at your destination. What would become of it? asked the girl. It would be lost, as were your silver shoes when you visited Oz before and no one would ever see it again. It seems too bad to destroy the use of the magic belt in that way, doesn't it? Then, said Dorothy after a moment's thought, I will give the magic belt to Osma for she can use it in her own country and she can wish me transported to Uncle Henry without losing the belt. That is a wise plan. replied Glinda. So they rode back to the Emerald City and on the way it was arranged that every Saturday morning Osma would look at Dorothy in her magic picture wherever the little girl might chance to be. If she saw Dorothy make a certain signal, then Osma would know that the little Kansas girl wanted to revisit the land of Oz and by means of the gnome king's magic belt would wish that she might instantly return. This having been agreed upon, Dorothy bade good-bye to all her friends. Tick-tock wanted to go to Australia, too, but Dorothy knew that the machine man would never do for a servant in a civilized country and the chances were that his machinery wouldn't work at all. So she left him in Osma's care. Belina, on the contrary, preferred the land of Oz to any other country and refused to accompany Dorothy. The bugs and ants that I find here are the finest flavored in the world. And there are plenty of them.  Uncle Henry needs me, said Dorothy simply, and every one except Belina thought it was right that she should go. All Dorothy's friends of the land of Oz, both old and new, gathered in a group in front of the palace to bid her a sorrowful good-bye and to wish her long life and happiness. After much handshaking, Dorothy kissed Osma once more and then handed her the gnome king's magic belt, saying, Now, dear princess, when I wave my handkerchief, please wish me with Uncle Henry. I am awfully sorry to leave you, and the scarecrow, and the tin woodman, and the cowardly lion and tick-tock and—and everybody. But I do want my Uncle Henry. So good-bye, all of you. Then the little girl stood on one of the big emeralds which decorated the courtyard, and after looking once again at each of her friends, waved her handkerchief. No, said Dorothy. I wasn't drowned at all, and I've come to nurse you and take care of you, Uncle Henry, and you must promise to get well as soon as possible. Uncle Henry smiled and cuddled his little niece close in his lap. I'm better already, my darling, said he. End of Chapter 21 This is the end of Osma of Oz by L. Frank Baum. Thank you for listening.


So, right about now, I have two guys in the studio with me who are doing amazing things, you know, you have to give back to the society once you're making a living, and yeah, you just have to give back to the society, so I want them to tell us about their initiative and how we can support them and anything else we need to know. Hi guys. Hi, hi. So, what are you going to do? I'm going to do it. So, what are you going to do? Are you going to be a police officer? Yeah, I'm going to do it. I'm a hairstylist, and now I'm doing a hairstylist. I'm a Kenyan, I'm based in Kenya, but I must work in Thika, and I do events, high fashion events. I'm also the CEO of Ambalamuda Kenya, it's a fashion organization to empower youth and create employment in Kenya and diaspora, and yeah, that's it. What are you going to do? Camera day. No, but I have two requests. I'm not doing a phone package. Two five four, two five four. Okay. Okay.  So now number one mini MC okay niliyaz na kafupi bola ni kakua dancer, ni kakua dance, ni kakua da zafari kum Kenya life, ni kakua gduje pata MC, nika dancia safari komu kenya live, nika kuja nika jipata emcee but basically what I do by professional is I'm an emcee event organizer and also CEO, Simoma Namu Toto and Kuzaki Power because basically isoma title nizao but ataliko nima mami mimi na tagatiko mimi indesini mimi mitu wa kenya Deshifo where window found and how kati watu oku? Deshifo, Deshifo wala jwa chifa na kata na tagatiko wala jwa na fanya mitu power we want to know that so mini emcee naka naka basically what we do yes we want to know what you do so now kama emcee na kama artist that is what basically na do I started as a gospel artist but because of frustration of gendas in kingdoms so mini kama okun doke so 2 yas tijakwa niki ima but because the last time nili kwa ga pasiju kushu ya gospel ya DJ Nix takimi kusere now na kama kama artist not a gospel artist because we will be releasing our first song maybe probably next month with Vicky Pondiff so ukunde sasa niko na mimi personally nimi mitu ka nili kwa, nili kwa kiki familiar kibabi and then kwa familiar kibabi mada na buda kachana because of Viku kuchezana so mada ka kundana mimi kwa familiar because mini kwa napendo home and then kutu mini omu usi so nisi jii mani mini nili kwa kusia kwa chana yo yo of course gudani mbrown rafu minin fupi napenda apendi fupi short round so basically nika jipata nitu menda ghetto and then mini kwa home nili kruu nili kutana na yo nili adimaya wana kulavitu powa wana manga fiti so nika jipata ko street so up on the ojani hangu ili anza so street boy nili kwa na favor nili kwa napendo na mama sana simsishi kibiba nili kama katoi kazuri and then nili kwa na fanya job sana so up on the ojani hangu so up on the ojani hangu si mama na watoto that is the that is the reason why you are doing it after kama kutu anza kama kutu anza sima mama nama koto basically kutu nili kwa na driving somebody gave me chance so we need to give someone else chance but nili kwa nimi jeen bobuna so many charity event mini sana baka ikafika two place nika feel kuna kitu na miss nandi usasa tu na doing it so up on the ojani hangu wona ingili awa pinasimama na amtoto minasimama na amtoto I am a hairstylist and ten years ago I joined the industry fashion, hair and beauty I started as a beautician doing manicure, pedikure such and such then nika anza kufanya styling annually nika anza kwa ka weave not the man speak let me miss mama na amtoto nika nika anza kuspecialize nika nika kwa industry nika anza kukumpit tia nika anza kwa in awards nika winawadi a kwanza a main award in tika bregdo stylist then during the event nika meet other stylist akinakorin international stylist so now nika nipush to the international market to more media more commercials more effect so up on nika nika nika kwa naka-involved na charity event nika anza kufanya na chapati forum nika anza kufanya na kuzaki power nika anza chania sauti machinani nika anza kufanya na other initiatives but basically what I do ni grooming the kids grooming people in prison grooming the elders so that is your part in the initiative so on this one is now basically on the kids this one is what you are doing for the Easter session kuz we've worked so many events with sumamana mtoto we've done pageants for sumamana mtoto miss time miss sumamana mtoto different regions, tika town, patondo town ruiru and other places where we support other initiatives who are doing pageants so here I do styling and as far as a high fashion hairstylist on charity events I have a team of other awarding winning stylists that have been mentored during the journey so Piawawa waka passionate about trying something new on service on charity and on giving so what will you be doing this time around so tomorrow to go OMCA grounds tika sumamana mtoto is a celebrate 10 years in the industry so we have friends, we have fashion we have food and we have kids so we have kids from children's homes so we are coming and others from within Kembu County and tika basically and there is always that tomorrow morning tunanzara kupika tunanzara fanya fashion show tunanzara celebrate tunanzara kwaanana tunanzara kupika so what are some of the challenges that you may be facing and being the founder of Sima Mama namtoto challenges we say we say we say we say we say we say we say we are trying to see Mama namtoto now number one every time we end up finding something good be ready that I was ready because someone prophesied in kwa life yaan so number one is kwa ready for anything na ni na kwa ready for anything kwa zni shat juwa every time you have something na zima kwa o gongo muturio nama tunda na zima utagongo you understand that so if you see that you don't have anything So challenges, nili kwa ready. So challenges number one, sewiti sha donations, a contribution. Na watu kiski ya kuna maali kulita juli, kumima maali, wano nageyo peseki wa ningi. Sana. Fino, basically apart from this that tuwe patina na juni, because ni anthasari ya ke, no na so situli, come in, koza litaka to do what we do, na lete wa toi, na tu lete wa toi, tu na kugana ba lete ya more than 300,000 whereby akuna charity eventi na kugana yo. Ya kulei, that's a little time. Because we do Mr. and Miss Children's Home. Every time you do it, even you do not find it. Every time siti kumima mua kudu, no na. Inu sasa tu na dutu kama party, no na. And then, ko yo Mr. and Miss Children's Home, we do fun day. Ya. That's when we come, we do day up on kase maa apu kukukula because hatu piki yagi wa tu chakula ila mashakura. Mna piki ya chakula buzuzi. Nifood, because tu na kugana wa saywa zito, tu na kugana wa sani wa kubua, akina kudida what you come through, no na. Akina whizdom, akina machimwana, akina bahati wa mika stafu zetu. So siu pika foodi na contain kila mtu. Ya. Ono na. Babi na, papa singin, papa singin na koga webe o kikama eza presenter, uneza kadam no lem toi na misha yo foodu ko comfortable no lem toi. Because na koga ni sharing, no na. So kika chinin na mtu ii, amane una kula, una foodu na zapeo, ko se kudisi, nalafu npeo shangai, muna wea anti kuri. Ya, ya, ya, no na. So, basically tu na kaka fooda anti na kula. Anapa kubi anti una kula vizuri. Nio, ya ni yo interaction, ya kona mtu ii kue fight toi, no na. So, challenge na mani na koga ii, mi ni mitu kon man, myself. Johnny ni mitu na. Na ni ju tumenda tu me do eventi, me kwa successful big time. Which is the goal. Wato ono na ni katuna maku do. Ingi na tumenda kudu, tu na doingi wok. So it will experience to ru iru pekeke. Because mta tumenda, nili kwa celebsa na ju nili kwa na do roadshows na safari kwa. So at least ni kwa na ju nili kwa na yom tango na. So now, kiki kama eba, dei uma ego ko webe ni muna toi era. Ya ni, ni komya friends, toke ni wukuni ni muna toi bia. Na mama na nga liya, da kini, basically ni watu ingi na wali patoa, wa team. But ni kiki kama, ni kona approach. Wati mi ako, wa liba pefe. Ya ni, toke ni ya pa ni ni wu toi bia. So basically they don't know who is real and who is not real. So, but then God see, kuna koga na Baruwa's accounti, na ita every time we do, kuna koga authorization baka ya gaga no na. So, ni kikama, ni kona approach.  Okay.  Tuko yata to sasa. Oh yata to. Kenya na paya ni bata. I, okay, see, they are not generous. It's because of maybe experiences in your me pata. Aipa, it's because of experiences in your me pata.  See, what I'm coming in. Tuko wa what's up group. Ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, ni, kiii m'intu mii atwa 12.2, wusi engali wu mtumingine, engali awηewe, jo ni mimutne, ze mi yami begati miangu, wusi engali watuali watatipie donation, mi mi personali. Wanasi sesame kami ni improd 9 begiweza watua parti donation nasi parti donation, atikami kita tiku mi miku zaatit TV yangu, asab loga hwima miawatu iwa nene. Nimi me woza several TV yangu, nimi waza TV yahu, due tu be kama budgeti detoshuna akuna du na nanddi, nanami begia wuze ni intaba eh TV next week, inene na hwza okunubai, Na maa nisha kama Goda me kupa tiya? Sama, I don't care for yourself. Let's go to the word, the Bible says, free you received, free give. Yes. Sinukweli. Now many people, they give to receive. No, it's vice versa. Your blessed will be blessing. But people don't get that. That's what I personally heard in itishyam pido nisha. kwa zi nisha jwa watu wa takiku giv, muntu wa takam kumambia, nia jitu na takahunga mwaja but iyo wunga kwa zi sisa tu tisha gido, tu nambia gawatu, tu nambia na kupika bel kumi tu pati eni kila muntu wunga mwaja, mwaja but muntu wa tako, nili pana last week, nili pana this week ah, you see, misi kukipia na ayo yote, nia mbia kama uta ni pia, ma uta ni pia, su na ni geta so you ni talent, whether we like it or not, because our tuitu mwambia tu na kam, na wana food whether we like it or not, muntu wa taku na sinukweli so while watu yo wana food, tu, sisi do tu na wa pati ya hopes wana na, na the reason being to do tua, o kila ta awo ni ju tu na takayu ta on ni jue, ni responsibility, tia kute kizu children, some zi kukut iyo mta kwa zi kama mimi, tu mena last one tili kwa geta hundo sisi wu zi rudi geta hundo, misi wwa geta hundo, sinukweli sayi tu na plan kuenda amatare, misi wu amatare but to wewa wa amatare, misi responsibility, tia kukuna kutemela wato because our tia na muntu mini na kumuangaliya so ukinia mi ya, mi na kam kumeku do, uga tondo sisi wazi me kudu do, gata hundo, because na me kudu do wa zi when do ni wakam, that's what you invite, wa se wewa uta awo mi kisha to kapa muna juwa zili chalengizawa tu wana go through na, basically sisi tu na dina talent mi ni liya mi ya kina joni kisha to kawiliya tumpi liya tariti, hiya masi tu na fuliwa wato hi tu enguwa tu na pikanawa tu na cezanawa mi ya nguniko umtu ni ni intuneza mwachiya, that's why we came up now with a maesthenesis apart from kuena kuafuli, na kuopati ya food ni ni ingili tunezadu so na basically li kuaku gana people who have talent real running short of time so basically li kuena wase wewali wakuna talent so tu rumiwa wato hi ku dance, kuhimba kumodel, niyo ile de sise pukutaku wa pale, wo nemutu yata baki na eo skill na eo skill ni niza, mutsa idea kumuftu anaba, lebo ile te misi yubu So Johnny, being your 10th anniversary, mua tuwana eza kusa idea aje in very few words very few words, ita kwae sadia 1 2 3 4 5 6 I anyam e kumadisi ya wa dzak o zote very few words, watu wa taku sa idea aje and watu aneza wa pata wa Nanda sumama na ee, lakini situatesha donation waw sitisha So, come, come Keshio, come, come na donation ea ko Uniza to support through our Instagram page check our Instagram at the Johnny Hea Ads, Facebook kuna event sumama na mtoto 21st at YMCA Dika Grounds So, can gali apale kwa Facebook event, kwa Instagram utana zile donation to my list, ama wanyu wana zi support. So, the same page niwa pijiyangu ya nyiwele, you can check my work there. Johnny Heaths, Johnny Empire, Facebook, Instagram, Twitter. Nice. Nwi loganize aso kujotu wana wana nyiwele. So, watu wana patua pisi mama na watu to initiative? Basically, kuna Facebook? In few words. Very few words. Faisbook. Kuna Facebook. Kuna zapata kwa kusa kipawal on Facebook. Ya, zi zingida zina kujakama event, event, event. Mesta ni mi sumama na mdotu. Okay. Thank you so much. But niza put hashtag tuni izi uta wana izi wita zora. Hashtag gani. Zuma na mdotu. Oh, sawa, sawa. Santeni sana fo coming through. And su na appreciate wita zey mna fanya. Mna kum. Eh, tuta kuja. DJ da wakuna kwa ya ni ifida yi not see you. So, you have had it. It's the Easter season. So, give, give and keep on giving. So, don't you go anywhere. We will be back with more of Easter kids. Right after the short musical break.


300,000 NATO troops are ready to enter Poland to fight Russia. NATO is ready at a high level to send 300,000 soldiers to Poland. This was said by the Deputy Chief of the Polish General Staff, Karol Daimonowski. American soldiers have been stationed in Poland for a long time, several thousand of them. They train with us regularly. Remember that the United States and other allies also support us in other areas, in the air, at sea, in space, and in cyber security, he said. Asked whether it is possible that the number of American troops in Poland will increase to 100,000, he said that this is a realistic scenario. This is an assumption of NATO's latest plans, which were approved at the political level at the last summit in Vilnius. Until now, there were 40,000 soldiers at NATO headquarters, now there are 300,000. Daimonowski said he added that the soldiers will arrive in the country under threat even before the war starts. According to him, there are various ready-made scenarios to adequately respond to aggression. NATO maintains eight battle groups across Eastern Europe, aimed at acting as an initial frontline defence in the event of a Russian invasion. Four are in the Baltic states and Poland, and these were supplemented by the creation of four more in Bulgaria, Hungary, Romania, and Slovakia after the attack on Ukraine. Germany said this month it would contribute a brigade of troops to defend Lithuania, where the country leads a 1,000-member battle group, although it emerged that the bulk of the extra 3,500 Berlin intends to contribute would be based on its own soil, ready to move farther east if needed. Houthi's target US ships rush out profiting from Houthi Red Sea attacks. Yemen's Iran-aligned Houthi group fired missiles at a Liberian-flagged container ship in the Red Sea, but did not hit the vessel. The US Central Command said two anti-ship ballistic missiles were fired at the Pinocchio from Yemeni territory. US Central Command said resulting in no damage or injuries. Houthi military spokesperson Yaya Sarri earlier said the group had targeted and hit the ship, which he described as American. Sarri said the Houthi group would escalate their military operations during the Muslim holy month of Ramadan in solidarity with Palestinians in response to the war in Gaza. The United States and Britain have launched strikes on Houthi targets in Yemen and redesignated the militia as a terrorist group. Air strikes attributed to the US-British coalition hit port cities and small towns in western Yemen on March 11, killing at least 11 people and injuring 14, a spokesperson for Yemeni's internationally-recognized government told Reuters. US Central Command said it conducted six self-defense strikes on Monday in Houthi-controlled areas of Yemen. The strikes destroyed an unmanned underwater vessel and 18 anti-ship missiles, which US Central Command said presented an imminent threat to merchant vessels and US Navy ships in the region. Meanwhile, Russia has been heavily sanctioned since invading Ukraine on February 24, 2022. Many goods that normally travelled by ground through Russia on their way from Asia to Europe were shifted to the Red Sea route as a result. German shipping company DHL reportedly said that requests for shipments using Moscow's state-owned company Russian Railways had skyrocketed by 40% since the Houthis forced the longer route to become commonplace in December. The requests have picked up since the beginning of the situation in the Red Sea by around 40%. DHL told the Financial Times, The overwhelming amount is going through Russia. Similarly, specialist shipping companies Railgate Europe and the Railbridge Cargo both said that demands for commercial shipments to take the Russian Rail route had increased by over 30% following the Houthi attacks.


Hey, what's going on guys? Rudolanol here, and today we are looking at some more Python. We're just going to check out some strings. We're going to look at them in a more in-depth way, because they're really interesting. Those strings are the sort of data types that are just like a massive text, or like it's almost like a list of characters. And there are some scenarios though. Because they're denoted by these quotation marks, they can be either a double quotation mark or a single quotation mark. Sometimes we're going to need to break out of those, because what if you were in a situation where you were trying to like, maybe print out dialogue or something. If you wanted to say, John says, hello dog. That hello dog bit should be in quotation marks, because that's just proper. But since you're already inside quotation marks, you would have to break out of them to be able to put more in, which would just cause a problem. So we fixed this with what we call escape characters. So let's get idle started, and I'll show you what I mean. I'll drag this over here, so you guys can see it. And let's get ourself started with a string. I'm going to use that same example I was saying before. John says, hello, Doug. Did I say hello there, Doug? I don't even remember. Let's go for hello there, Doug. So, boom, there we go. Now you can see that our syntax highlighting stopped. And it went back to black text rather than being the green text by default, as if it were a string keyword or that sort of character set. And yeah, we can still get a syntax error that this is invalid syntax. We have just pieces of text just floating around arbitrarily in our command here. So what we do to fix that is we use an escape character. And these are set up by a backslash. So if we go to alt P to bring back our command, what we want to use is a backslash right before that quotation mark here, denoting the dialogue, because that is what's going to start the new text. But when we have that backslash, we have our syntax highlighting is back and everything should be fine because we're taking the literal meaning of this quotation mark. We don't want Python to interpret this as the end of the string. We just want them to interpret as a real string. I'm sorry, a real quotation mark. So we'll have to do the same for that last one because you can see the period over there is still black. And we'll add a little backslash and we'll, there you go. Now it says John says hello there, Doug, perfectly. We have our single quotation marks meaning it's a string. And if we printed this out, we use a little print function here. John says hello there, Doug. So good enough. Now this kind of goes the same way if you're using single quotation marks. So if you were, let's say, he's, oh, I hit the enter key button. Sorry.  So he's a dork. We still have this single quotation mark. So what you would do here is escape that. And now you're problem solved. Now the thing is with escape characters, though there are sometimes you have special, special escape characters. Like if you backslash n, you can see over here on the left-hand side, backslash n will create a new line. So if we wanted, let's say, this is, I'm going to fix that h right here. This is separated by new lines. Oh, and we're going to have to print that because when Idle returns something, it returns it as the raw string. But print is what's going to understand and understand and interpret. That's the word I'm thinking of. Interpret those new line characters. So this is separate. Oh, I forgot that n there. That's embarrassing. Oh, I also escaped the b. So we'll try that again. Pardon me. We'll try that again. This is separated by new lines. Nice. Nice, nice. This is separate. Oh, I put an extra one. Okay. I'm starting to understand what I'm doing here. So yeah, see now you have all these new line characters that are inputted and there is also a backslash t. So if we print backslash t, backslash t, backslash t, we type in what? What? And now you can see there are all these tab keys, all these tab spaces, and then we have the text that we wanted to display. What? We're using those escape characters and those little sequences there to bring new meaning to what we're displaying. And there are a lot more. There's like a backslash c for a character return, I think. There's backslash r for maybe a line feed. I don't know the exact ones, but backslash n and backslash t are the ones you are most likely going to be using most of the time. So now if, let's go right here. I want to introduce you to the single backslash, because in case you ever do need to print out a backslash, self becomes a problem because backslash is the character to represent an escape character. So we would have to print backslash, backslash, backslash, backslash. And now we have a single backslash, because it's interpreting it as the real backslash. I know that's a little hard to wrap your head around, and it's a lot of the same. Like I'm saying backslash over and over again escape character, but these mean different things, but they mean something that makes sense. Backslash n and new line. Backslash t tab. So now another interesting thing that Python has is called a raw string, and this is understanding it in a different way. If we print out, let's say John says hello there, and that works perfectly fine. Actually it doesn't, because we'd have to use those backslashes here. Let's get a backslash right over there, and another one right at the end of that string. John says hello there. What you could do is put an R in front of there, and it's going to use that as a raw string. So whatever is in that string, it's going to interpret it the way it should. So that backslash is going to be included as a real backslash. I'm curious if we tried it again without those, if we actually... Nope. That's not gonna work. But it is interpreting that first one. So that's interesting. If we cut that one out. Yep. But that's kind of what I'm trying to get at here. The raw string in the previous example that I was showing you, that R in front of a string is going to represent what that string really means. So if you use those two backslashes again, it's going to print out backslash, backslash, backslash, because you have 1, 2, 1, 2. So you're using real backslashes, and a backslash is supposed to mean two backslashes. When you have two backslashes, it's really 1 when it's raw. But if we did that in print, you get those. So that might be a little tough to wrap your mind around, but especially in those examples, I really didn't do that great of a job explaining it, but I'm sure if you look at other examples and what other people have done, there are other strings that might be a little bit more complex, and you're going to be able to understand that, though, by knowing these escape characters and these escape sequences and the other things that you might need to understand while you're programming. So actually with print, though, print automatically adds a new line every time you output something, so you don't have to have that backslash N at the end of it. So if I said hello, you can see there's an extra one there, but if I just did hello, it's perfectly fine. So print automatically ends the backslash N, or at least it creates a new line. But yeah, that's kind of all I wanted to show you guys today. Escape characters are a little bit interesting, but they can definitely make your life a lot easier when you're working with strings, so I recommend you check them out and give them a go. But thank you for watching, guys. Thanks for listening, and I'll see you again in the next tutorial.


They see me in DC, they see me in New York on Levitt Avenue, they see me in DC on M Street, on 7th Street, New York Avenue or any school, Van Buen, Bessonette, you know, Harry Hines, you know, wherever it was a track, that's what I got famous at. Yeah we on boss talk one on one, one on one. Yeah we gon' talk. Got me some real money. Then I bought me a Cadillac about this, I got a jail, I think this was a few years after I jailed, it was about 93. Yeah. About a 91 Flickwood. That was bad, that was a photo. Yeah, it had to go. What color was it? It was a blue with gold days, it had the gold package, 100 spokes on it. Ooh, that was a bad boy. And the next Cadillac I bought was the Flickwood, I bought the brand in the year of, I ended up flipping that one, and I bought, you know, I think it was 93, about the 93 Flickwood, a white.  You used to put them on highway, didn't you? Yeah, yeah, yeah, you know. You had to put them on highway. I was in the game, so you know, you had to go to the state to state, right? I ain't giving you the full story, there's a lot of stuff going on in between there. I know, I already know.  Because at first, the form wasn't what it was. It was the Cadillac first, though, wasn't it? Yeah, yeah, but I never really did the old school. Yeah, yeah. I wasn't really into old schools, I was always, I liked the new shoes, you know. The new ones, yeah. And I never wore the, you know, I ain't do the Huggie Bear, I ain't do the Goldfish in the shoes. No, no, no, no, no.  Even if you could pimp some hoes down, that suit, that was a Versace suit, and those buns was 24 karat gold.   If you look at pimps and hoes down, you see all my minx was custom, all my clothes was custom, you know, I didn't want to dress like nobody else. Well, bring me down through there on pimps and hoes down, just give me the spiel on like the process of them coming to you, because you're a business man.  That's exactly what happened. I had some business. So I'm in Chicago, and I see these people with all these cameras like similar with what you got going on.  You know what I'm saying? And I'm like, who are these niggas? Man, this is fast, you know what I'm saying? What's happening with this shit? Man, you know what I mean? I've asked some businessmen, everybody. They said, that's HBO. So they kept filming me, so I started talking real slick.  I said, who do you do business with now? He said, do business with me, come to Milwaukee. So I took him over from way for Chicago because I knew I could have new business with them. I had to separate him from them in order to do what I want to do. So when he came, I took him to my clothing store. I asked him for a substantial amount of money, which he agreed. I asked him to end the movie with me, which he agreed. I asked for credits in the movie, which he agreed. And I also asked for the movie to be mainly shot, where I want it to be shot. So a lot of the scenes in there, we see the player's ball, that's Milwaukee, when they're walking up to the, all the people walking, and that's our hometown. So it was really to put my city on the map and get them out there like that. So I began to do a lot of scenes, that bar where I was talking to the girl, that's my daddy's bar. Wow. You know what I'm saying? So we did it in my daddy's bar, and a lot of my friends that was in there with people I personally knew. You know what I'm saying? I kind of made it to a Milwaukee thing. I think it kind of upset a lot of my brothers in Chicago, but I'm from Chicago, so, but you know, I'm a Milwaukee dude.  You know, willful without, even when I was in prison, I didn't say I was from Chicago, even though I said I'm from Milwaukee. You know, I go across country, I didn't say I was from Chicago, I said I'm from Milwaukee. You know, I always said Milwaukee, Milwaukee, Milwaukee, because I had an insatiable appetite to put Milwaukee on the map. So that's why I wanted to put my city on the map. And you know, Chicago had a bishop. So you know, they didn't need no bishop in Milwaukee. They needed a can IV or a pimpin' can. And so that's what I gave them. You know, I put over the city, and you know, about the biggest parties there. You know, we had the biggest players from all over the world come to the mill, just like on the map. That's how it was in my city. And you know, they came to see me.   You know what I'm saying? They see me in DC. They see me in New York on Levitt Avenue. They see me in DC on M Street or 7th Street, New York Avenue or Indie School, Van Buen, Bessonette, you know, Harry Hines, you know, wherever it was a track, that's why I got famous at, you know, some of the dudes, you know, they would come to the town. And they were like, what key in that? You know, because they know I'm pulling the benzes out. I'm pulling, you know, it's gonna be four or five pretty women in the car. You know what I'm saying? You know, I'm gonna have my gators on, my suits on. I'm gonna be in Piltmore, I stayed in Piltmore, I did it in 50 zip codes. You know what I'm saying? Woo-hoo-hoo-hoo!


Hi everybody, my name is Sean Madden. I'm with Piston Cloud Computing. Today I'm going to talk to you about Piston OpenStack and integrated with PlumGrid, which is a neutron plug-in. Just a little bit of background here. The first thing that we want to talk about is moving away from the legacy IT architecture that's in existence now. So right now, there's still a lot of people running their IT departments in silos with separate storage and separate compute, separate departments. And we're trying to move into a much more converged infrastructure that you'll see shortly here. So what we've done at Piston is just to give you a little bit of background. As we've taken the OpenStack architecture, made it a hyperconverge where we run compute storage networking on all the servers. And we try to make it highly available and scalable, elastic on demand, all the buzzwords that we hear all the time. So as I mentioned, we have everything running on every cloud node. So we can scale out very easily to tens, hundreds, even thousands of nodes. This is great on the compute and storage side, but a lot of people still on the network side are using Nova Network, which is VLAN-based. We're very stuck into what we can do. We kind of define VLANs in the beginning when we boot up the cloud, and we're kind of stuck to these four VLANs as cloud services, public, and host. And then when we want to expand the cloud even larger, we have a really hard time. So that's where these neutron SDN plugins come in. So as I mentioned, so in a small scale deployment, we have people deploy anywhere from five nodes to 20 to 100 nodes.  The multi-tenancy support really isn't there. So for example, if you want to segregate, you have different projects, and you want those projects to be on a completely different address space, you can't really do something like that. People kind of share that same address space, and it's not very scalable. So what we've done is we've worked with Plumgrid. So Plumgrid is one of the SDN solutions that we have as a plug-in into PIS and OpenStack. Plumgrid consists of three main components. One of them is called the Plumgrid director, which is basically the manager of the Plumgrid integration. It runs on what's called an infrastructure server that I'll talk about in a second. There's also the Iovizer, which runs on all the different hosts. And what the Iovizer does is that's what takes care of being able to create many networks and takes care of all the networking, the switching, the routing, that kind of stuff. And there's also a gateway that you need too, because you need a gateway to be able to get out to the internet. So if you look at what a PIS and OpenStack and Plumgrid integration would look like, originally we had our boot node. And now we've added this PIS and boot node plus the Plumgrid director. And these run on the infrastructure server. So they're virtualized on the infrastructure server. And then we have our cloud nodes, which run PIS and Converged Infrastructure, as well as running the Iovizer on there as well. So what we see in this, this is a typical deployment example of PIS and with Plumgrid. And so we have our management services running on these infrastructure clusters. And then these are cloud cells. So these are individual clusters. And there can be many of them that are running this PIS and plus Plumgrid solution. And it's really cool because it can scale out as large as you want it. We don't know exactly how big it's going to scale yet. But it's cool because you can also make all these networks on the fly. And that's one of the limitations we have now with Nova Network is that we can't do that. We create some networks that we create at cloud boot time. But with Nova Network, you can create many networks. You can create projects, multiple projects that have their own different networks, multiple projects that even share or have the same network IPs that you've already used because we can segregate them and keep them separated. So there's a lot of ability to do a lot of things with PIS and plus Plumgrid. So this is just the example of if you've seen Neutron, you've seen this example of what happens when you start creating VMs and start creating networks. And they start showing up in here when you start creating routers. So everything that you do on the network side will show up in the topology. The cool thing about Plumgrid and PIS then is, number one, from the PIS inside, you can go into Horizon in the dashboard and you can see what's going on with your topology. But Plumgrid also has a user interface that you can use. And everything via the APIs, if you spin up something in the open stack side, it goes into the Plumgrid. And vice versa, you create these switches, routers, VMs, and things on the Plumgrid side, it goes over to the open stack side as well. So that first example was Horizon. So this is what the Plumgrid side looks like. So as I mentioned, when you spin things up in Plumgrid on their user interface, they automatically get transferred over into the dashboard. So it's two-way communication there. So why Piston and Plumgrid? The architecture is highly converged. I mentioned from our side, we run compute storage network everywhere so any hosts can run anything. So if you do have hardware failures, we don't really worry about it too much because we will migrate services to other physical servers so your cloud keeps on running. The deployment model, as I'll show on the demo, is very simple. It's basically we have the infrastructure host that boots up, we go out and auto-detect all the hardware so we know what kind of drives you have, we know what kind of RAM, we know what kind of CPUs you have, we net boot all the hardware and then in about 10 or 15 minutes, you're paying on the speedier network, how many nodes you have, you'll have a full Piston open stack cloud with Plumgrid up and running. There's on-demand creation so we always share the buzzwords, we want self-serving, we want on-demand, we want elasticity. All these things are very true in this architecture because like I said, you can spin up networks as you need them.  So if you have 10 physical servers, say, and you only spin up two VMs, the networks you create for those two VMs that reside on a particular host are only on those hosts. We don't create networks for the entire cloud until you have to do it. It's kind of like a just-in-time kind of thing. Let me move on to the demo. I see my time is running by very quickly. So in the beginning, the first thing that happens is we spin up this infrastructure virtual domain and Plumgrid calls these virtual networks or these virtual domains. So in the beginning on this infrastructure host, we need to spin up a host bridge, a services bridge, we connect them with the router so that they can talk to each other and then we have a port on top so that we can get external access outside of this infrastructure host to be able to communicate with the rest of the network. And I'm probably going to talk a little bit faster than the demo, obviously. So then we boot the cloud. So as I mentioned, when we boot the cloud, the virtual boot node and the Plumgrid director are sitting on the infrastructure node. The cloud boots up. As you'll see, this is our web console, the interface. You'll see that the hardware will get detected via the management port on the servers. We do IPMI for that. So we detect all the physical servers start booting up. Once they're booted, they will get an IP on their high-speed interface and we will pixie boot our software into a RAM disk on all the servers. Prior to doing that, we've detected all the hardware so we know what's out there. And then in this cloud boot console, you'll see that it'll tell you what state your servers are in. So you know they're booting. You know when they want their configuration. You know when they're provisioning and how far along in the provisioning process they are. And then once they're done, you'll get access. You get a link into your cloud so that you'll be able to go to the dashboard. So here we see provisioning. It tells you exactly what we're doing. We're installing ZooKeeper. We install Ceph as our storage back end. We run MySQL. And we're running some things once in the cloud and we're running many things on every server in the cloud depending on what the service is. So now we get into the dashboard. So now we can start creating networks. So network creation via the Neutron APIs is very simple. So here in the GUI we can create a network. We can call it something like Net10. So that gets created. And this is just created now. And then once the VM is spun up, it'll pull from that IP range that we've defined. So we just basically give it a subnet name. We give it an IP range and subnet mass that we want to use. And we provide a gateway. On the next page, you'll also see that we do provide DNS and we enable DHCP. So all the IP addresses for your VMs come from DHCP. So all this happens, like I said, just in time, just when you need it. So when the VM gets scheduled and goes onto a host, this particular network is going to end up just running on that host. It's not going to be a network that's installed on every host. So we don't have a lot of overhead here in doing this. So this is one network that's created from this network. I'm going to spin up a virtual machine, or at least in the demo there. So there, so we have our network. And then we'll just simply boot an instance here in the GUI as well. So we'll just grab the image. We'll give it a name. We'll pick that network. And then what we'll see is that that VM will be spun up and it'll have that network. And then we can look at the network topology and see that we do have that VM on that network that's there. And then we can create another VM, put it on another network. And then on top of that, we can add a router so we can connect those together. And then beyond that, we can take individual OpenStack projects, make multiple projects, create their own networks, and add routers, and be able to run all these things together. So this is a very different solution than the original Nova network. We still have some people that are using Nova network because it meets their needs. But for people that do want the L2 segregation, the people that do want to be able to define and create these networks on the fly, this new neutron with PlumGrid is certainly a very, very good option here. So I'm creating the second network here in the demo for my second virtual machine. And then I'll show you exactly how we can make those two VMs talk to each other by creating a router. I'm going to speed this up slightly because I don't want to run out of time here. So as you see here, the two VMs have been created, or one VM on both networks. I'm just creating the second VM so that you guys can see how they communicate with each other. OK, so the VM is building. The VM is going to be active. Now, once it's active, we'll look through the network topology. And you'll see that it's kind of cool. You're going to see everything happening on the fly. And you can also do this in the PlumGrid GUI as well to see that these two VMs have been created on these two networks. And then what we'll be able to do is create that router. And we'll show that they're up and running. So on the router, we're going to have to add the interfaces that we need, obviously. So those interfaces will get added. Then we'll be able to have the VMs talk to each other. And then the scalability portion, for those people that we've talked to at our booth and just our customers in general, the scalability portion is probably one of the biggest things that people want to have within their clouds that they don't have now. We hear that if you want to have 5,000 VLANs and they may get 4,096, VLAN limit is something that they hit. Or they just want, in general, things to stay up and running. And if you do have issues where your servers go down, you want your network to continue to run. So the scalability, the HA, the elasticity is all built in here. So now we'll see in the demo, once these VMs are up, this is just going into the console on one of the VMs to show that we can actually ping from one VM to the other to see that it actually is up and running as expected. So both VMs, obviously good. And then the last thing that we're going to do is we don't want to just be able to ping VMs internally to the cloud. We want to be able to get external and be able to either go out on the internet or have people on the internet be able to log in in SSHN or get into their VMs. So we have to attach a floating IP onto the VMs as well so that we can get external access. So this is showing how we, on the instance, attach a floating IP. And then again, we'll be able to get access that I'm showing here into the VM from outside. So we're going to ping <IP_ADDRESS>, just an external IP. So you can see that creating the VMs, or creating the networks, then creating the VMs, attaching those networks to the VMs, adding a router, and then adding floating IPs is a very simple process. And then here's the last thing I just want to show you here is that this is what the PlumGrid UI looks like. So everything that we did in the horizon actually shows up here as well. So you can go back and forth if you want and see that that's the case, or you can just create things here on the PlumGrid side if you really want to dig deep down into the UI on this side. So in conclusion, that's kind of what I want to show you. But just want to let you know that this is a piston open stack with PlumGrid, highly scalable, available today, highly available all the time. So if you guys have any questions, feel free. You can ask now. I think I have about 30 seconds left. Otherwise, the piston and PlumGrid boosts are that way. But thanks a lot.


All right, ladies and gentlemen, good morning and welcome to TUC 2022. As you know, we have prepared quite some intense two days for you with about 50 speakers, 10 panels and all this in two days, of course, with some social events as well, because we also want you guys to talk to each other and exchange your experiences. I'm very happy to also say that the director of the University of Innsbruck is also here today in order to welcome you to TUC 2022, and I don't want to lose that many words right now, so let's start with Timon Merck. Yeah, thank you very much for this nice introduction. Dear friends, transcribes, users, fellow read co-op members, and in particular also dear colleagues, welcome to this 2022 edition of the Transcubus User Conference. Obviously, it is a great pleasure to be here today, and to have the opportunity to speak to you and to speak for the University of Innsbruck. It is a great pleasure for us to co-host this wonderful, long-awaited event after a forced break by the Corona pandemic. Can we get that in touch? Yes. Okay, now I won't hear you again. You can hear me, yes. This is a teacher. Yeah, Transcubus was developed within the Read Horizon 2020 Research Project funded by the EU Commission, and to our great pleasure, it was coordinated by the University of Innsbruck, and in particular by our colleague Mühlberger. Read stands for Recognition and Enrichment of Archive Documents, leading research groups from all over Europe were from the beginning taking part in it, and due to the great international interest in the platform, the project was eventually quite successfully converted into a European cooperative society, actually also a first for us, having quite a lot of experience with such founding companies. In the summer of 2019, the founding meeting of the company with this highly innovative legal form, this European cooperative society, took place right here in this building, and I think this is also one of the reasons why you are today also here, that your conference moved now to Innsbruck. It was the starting point for a sustainable, and this is important also, community-driven economic model that has been the basis for a stable existence of the Transcubus platform now for over more than three years. Today, ReadCorp has 125 members and the Transcubus platform, and this is the main success product of ReadCorp, has almost 100,000 users, very impressive. I'm proud to say that Transcubus has had a tremendous impact since its start, and speaking as a scientist, I believe that it has the potential to change the way we think about historical documents, actually it has already changed the way, both in research and beyond. The great thing about Transcubus is that it's not only a tool for scholars and researchers, but it's open also to the public. Anyone who is interested can use it to decipher ancient documents and everyone can help to retrieve and make accessible for the first time historical pieces. I believe that Transcubus, and especially the ReadCorp, has the potential in a way to democratize access to knowledge about the past, and I'm confident that it will continue to have a positive impact on the world for years to come. As far as now your conference is concerned, I was told that this is the event, that this is the event in the Transcubus year, where all its different kinds of users from all different kinds of fields and backgrounds and from all over the world come together, and I've just been told that we have also more than 300 Lucas via the Internet. As for us as academia, it is also important from time to time to have a forum for users to share their experiences and to learn from each other and to discuss the latest technological and project-related developments. So I would like to take this opportunity to thank all of the Transcubus users and also in particular its makers for their passion and commitment to Transcubus and its community, and in particular I also would like to thank and say my admiration to Dr. Günther Müllberger, the initiator in a way and some of the founders and the spiritus rector of this thing. They have made... Yeah, Bravo! Very, very impressive and this is really a great achievement. And you all know we are also a university where the quantum computer has been devised, thought about and now it will be produced by a company and so you are in a good company with read co-op. It's at least also a very great achievement. You, the community, the Transcubus community, you have made something a reality that not many universities can showcase. You have put into practice a perfect example of what academia fulfilling its third mission can look like. Namely in this case, I just mentioned another example with the quantum computer, in this case in the area of humanities and not just in the natural and technical sciences which are usually traditionally associated with cutting edge technology. The traditional missions of universities obviously are research and teaching. These are main goals. However, we live in a time of growing social and economic challenges and universities are increasingly called a bond to contribute not only indirectly while well-educated students but also directly to society and the economy. And that is what we call nowadays third mission and I think third mission consists of two goals. First, the application of scholarly findings to deal with a wide range of societal challenges and second, the transfer of technologies and innovations in the form of collaborations with industry. And in a sense, Transcubus has been doing both of these things in the area of the humanities in a time where they seem to have lost much of their social significance. So the better. So at the end, I am confident that the future of Transcubus is bright and I look forward to seeing great things from the community in the years to come. Thank you and all the best for your conference. Right, and now we want to move on to the words of Günther Müllberger, who is the Chairman of the Board of the REIT Corp. And as we just heard, well, the father of Transcubus. Dear friends, dear members, dear co-op, dear colleagues, dear Rector Merck. It's almost 10 years ago, on January the 1st, 2013, that the journey began that had brought us together here in Innsbruck. Today, nearly 150 people and many more also online from more than 20 countries are gathered here, from Germany, Italy, Finland, even from Argentina, Canada, the US and the Emirates. And all of you are dedicated to the research of historical documents. Wow. If someone had told me at that time that I would be able to speak here today the Chairman of a European cooperative whose most important product, Transcubus, is used all over the world, I would certainly not have believed it. So it was, in January the 1st, 2013, that the EU project Transcripturium started, led by Juan Andrés Sanchez and Enrique Vidal from the Technical University of Valencia. There, we developed the idea and the first prototype of Transcubus. Three years later on the 1st, January 2016, the REIT project started, now led by Innsbruck, by my group, dedicated to improve the software, but also making the technology directly accessible to research and academia, libraries and archives, and last but not least, family researchers. We received 8 million euros, of which about one-third went to research, one-third went to building the Transcubus platform and one-third to so-called network activities. In retrospective, that was an extraordinary stroke of luck and an opportunity you don't get too often in your life. A lot has happened in these 10 years. In the first few years, our work certainly attracted some interest, but skepticism and doubt clearly dominated. In fact, I often had the impression that our audience was more impressed by our confidence that we would overcome the technical challenges than they were actually convinced by the results. And yes, just as we always saw the glass as half-full, our audience, on the other hand, often saw only the flaws and judged the effort and benefits as disproportionate. But there were several factors that came to our rescue. First, we can credit ourselves that we played with open cards. From the very beginning, Transcubus allowed users to try it out on their own computers, to upload their own documents and to try out the latest tools, mainly baseline detection and actual detection recognition. Everyone who made the effort could thus check for themselves what the state of art was and still is. Second, we are proud of the fact that also very early on we gave users the opportunity to train their models themselves and made the computing time required for this, which can be rather considerable as we all know, available free of charge, even after Transcubus had been commercialized. Third and foremost, there were and are users who believed in the possibilities of the technology as we do and worked on their models with great carefulness and systematics. To mention just a few names, Maria Kalio from the National Archives Finland, Dirk Alvermann from the University Archive Greifswald, Tobias Hodel from the University Bern, Achim Rabus from the University Freiburg, Anemiekke Romijn from the Royal Academy of Sciences in the Netherlands, Pauline van Huyvel and Jirsi Reinders from the City Archives Amsterdam, Ingrid Bayer from the National Library of Norway, Robert Klugseider from the Austrian Academy of Sciences, Dominik des Landres and Maxim Goher from the Universities of Montreux and Quiebeck and many, many others and I apologize for all those who I didn't mention. So you spent a lot, thousands of hours actually of your working time in the careful transcription and in improving the software with your feedback and with your work. You were and are our most important ambassadors and we are very, very grateful for your trust and confidence. Starting in 2017 and 2018, the technology underlying transcribals developed a level of maturity that actually made its use in practice possible for everyone and in the years that followed, the technology became quite widespread and is now part of standard tech companies such as Google, Microsoft and Amazon. So how will transcribals continue to evolve? I would like to focus on three aspects. In terms of actual handwriting recognition technology, we are obviously at the end of an innovation cycle. That is, of course, we see that optimization and improvements will enable us to faster train models with less training data or to just fine tune large networks. The integration of so-called transformers will also lead us to some progress. But a real revolution, at least from my point of view, would need to come from a very different direction that is still unclear from my point of view. The situation is somehow different for layout recognition. We humans take it for granted that we can not only read a text but that the layout of a document gives us very important clues about the content and function. It goes without saying that we can recognize a heading as a heading and know that the heading structures a text that it contains a kind of summary for the next section and so on. Or that a table cell is defined both by its vertical and horizontal organization and that, for example, one column contains family names and the cells next to it are associated with this family name. To teach the computer this knowledge and also to be able to map complex document structures will be a significant step forward and enable us to structure collections and documents in a much more fine-grained way than it was possible until today. As you can imagine, our technical colleagues from the Transcriber's team are working hard on these improvements and we hope that we all will benefit soon of that. However, finally, I would like to talk about another aspect that is particularly close to our hearts. This is the question of searchability and findability of the digitized documents. Many archives have been busy in recent years and they digitized large quantities, 5, 10, 50 million of digitized documents. In addition, there are still tens of thousands of microfilms that can be digitized at a relatively low cost. The large models at Transcriber's often show very good results even right from the start from scratch without training. So everything is well in place and we hope that in coming years we will indeed be able to process a significant portion of these millions and millions of digitized files. But then, a full-text search can be implemented quite quickly and our read and search product is also an attempt to shorten the path from the digitized and recognized document to the audience as much as possible. But as great as a full-text search over many millions of pages in seconds can be, we are only scratching the surface. A search engine that really specializes in historical documents does not yet exist to my opinion. Such a search engine must be able to do more than build a full-text index. It must have a knowledge of how historical documents are structured, what the essential features are of millenets, reports, letters, church records, disaster documents and other document types, how places, people, political entities are to be understood and how these documents were filed and documented in the archives. Or, to put it in another way, the technology we use today for full-text searching in archives is essentially at the level of the late 1990s when Google started making the Internet searchable. But if Google had stayed at that level, no one would be using that search engine today. I don't have a concept for such a Google of the past, but it is clear that one has to think beyond the boundaries of the individual archive. A collaborative approach will have much better chances to be successful on the long run. In this sense, transcribers and to read co-op are hopefully very first steps, which will be followed by many more, I hope. I wish you all an interesting and fruitful conference and especially thank the co-op team for their commitment and creativity in preparing for this conference. And my university director had to leave because the next opening will take place on the mountains and he has to rush there. So he apologized for that. So I want to thank my university also for the support which we received and that it made it possible to try out these things. Thank you. Thank you very much, Günther, for these words and also describing how it all came together in the end. As you all know, we have a very international audience today and, well, let's take the first step over the border of Austria to Italy and give the word to Andi Stauder, our managing director. Yeah. Very warm welcome to everybody who has come here today and who is following us online for me as well. I would like to get a little bit more concrete and to take a look back together with you and to see what we have been up to the past three years as a cooperative and what transcribers has meant to us and what it has been able to achieve with all of you together. Yeah. A bit of history first. As Günther already said, we came out of two EU funded projects the work on this technology basically started in 2013 during the Transcriptorium project then the REIT project followed which also is the namesake of the cooperative this is why it's called the REIT cooperative and in 2019 exactly in this building we founded this wonderful cooperative that has a lot of members all around the world we're more than 125 now and we are spread across 27 countries of the world. Yeah, this is a photo from that memorable day I think it was 1st July 2019 and here you can see the founding members and some representatives of the University of Innsbruck as well which is also a founding member. Here you can see some logos and some figures about the cooperative we are 126 today 77 of our members are institutional members so we've got a lot of archives, universities, libraries, museums even all around the world and 49 of us are private members. Yeah, there's this little window that hides part of the headings Yeah, the mouse is there Let's try to get rid of this Not even in a copy Let's zoom for you Okay, now this doesn't work either So, here Yeah, and here to see this on a map is really impressive how spread out we are already across the globe and I always like to say we are spread between the poles so our northernmost member is from Iceland and our southernmost member is from New Zealand so you basically can't get more spread out over the globe than this This is a slide on our team the A team or the AI team, wink wink so there's already a lot of us here too so we are more than 30 today we're from four countries so we're also quite international and people are joining us from different countries as we go along and many of us are still missing here so we can't even keep up with adding the photos to our website which is really, yeah, beautiful and I think it's wonderful to see that here the same cooperative spirit predominates as well as in the cooperative as a whole Yeah, let's talk a little bit about Transcribus which is, as Gunther already alluded to more than just text recognition what have we been doing for the last three years we have been establishing an ecosystem really not just one single tool so as you may know, Transcribus has a lot of you could call them siblings or sister tools that enable many different things in the work with historical documents so we are trying to facilitate the whole process from getting an image recognizing the text that's contained in it annotating it, training models improving the text recognition and publishing the whole thing on the web then or on your intranet wherever you may require to publish it and to share it with others the cooperative is obviously about sharing too these are the most important tasks that we are able to accomplish with Transcribus and its related tools you can transcribe text obviously it's in the name you can train AI models you can recognize the text you can recognize layout increasingly well we'll also be talking about this in more detail later you can enrich the text with tagging for example you can collaborate, collaboration and sharing go hand in hand you can export your documents and you can search your documents as Gunther already said search is very important and I think we live in the age of search that's one of the most important technologies of maybe the last 100 years so finding things is really important a couple of numbers yeah, there's 94,000 registered users we have recognized more than 20 million pages now with our technology there's more than 40 million pages that have been uploaded to the platform 16,500 individual models have been trained by you the community this is just a staggering number just to think about it that you have literally created more than 10,000 models we have active users in more than 150 countries so we're basically as big as the UN so we're the UN of text recognition you could say we have 40,000 monthly website visitors 30 read and search instances online already so that's the search websites that you can get in order to publish seamlessly what you've been working on with transcribers and more than a thousand scantents are in use so far all over the world then let's get even more concrete what have we been doing within the company we have been trying to improve the infrastructure and started this process almost two years ago invested heavily in the infrastructure tripled our computing power our storage is now almost up to a petabyte so we have 800 terabytes of storage this is not full obviously but we have to provide for the growth of data that are coming in and we are also thinking a lot about the architecture of the tools how do they work at the technical level and we'll also talk a little bit in more detail about this later and we have been trying to improve redundancy and failure tolerance because having so many active users and so many data this is obviously a technological challenge to manage all of this so we are on that very much as well we have further improved this content and tried to bring it to as many people around the world as we possibly could because this is the very first step first you need an image and for many especially smaller institutions it's a big problem to get an image in the first place because it doesn't help you if you have smart technology that can read the text if you don't have an image that's of no use to you then at the other end of the chain or of the workflow there's our search solution and publication solution where you can publish your digital editions of manuscripts for example or where you can make available your notarial acts to the general public etc and we have 30 of these already too then we have developed a processing API to facilitate large scale processing of material because we don't have just smaller institutions or individual members among our users but also larger institutions commercial providers so everybody who is helping to decipher all the documents that are hidden in all the archives around the world and all the newspaper collections and all the libraries and we have been working a little more quietly on transcribers on-prem which we will also present in some more detail not that much because it's still a bit early but we would like to point this out here as well because often you don't have a chance as an institution to publish your documents or to move even the images to another country or even outside your premises and that's why we would like to enable also these institutions and the millions and millions of pages that they have of very important historical documents to process them on-premise which is something that even Google and Amazon aren't doing properly and really on-premise yet Yeah, so that's been the first three years in a nutshell basically but what are we up to next? As I said, we are overhauling the technological basis so we are working on the foundation of transcribers as well so there might be considerable changes coming there in the next months and years we want to introduce more social elements so we want to connect the community even stronger also on a technological level and we want to make our focus on content and search even stronger and you will hear about this at 10.30 in our next-gen presentation so don't miss it if you want to know more about these things and where transcribers is heading in the next years and yeah, what's really next so what's next here in this room? First we have the keynote by Professor Glauner who Matthias will also announce in a minute we have a panel discussion following that where you also get a chance to ask questions that you would like answered by the experts in their fields on the question is AI the key to history and after that, as I said, is the presentation of the next generation of transcribers and this is what we chose for the motto of this conference and also for the cooperative as a whole unlocking our written past together and this is what we would like to do with you thank you


In this video, each pixel is connected as an input to a phase change synapse, here 10,000 synapses per neuron. The Watson avatar and IBM research patterns appear at certain time instances, whereas noise appears in the rest of the pixels. The synapses of the corresponding or level-tuned neurons learn the patterns without any further computation or in an unsupervised way by increasing the conductance of the nanodevices that correspond to the Watson and IBM research images and decreasing the conductance of the nanodevices that correspond to the noise. Simply put, without any human intervention, we have mimicked the functionality of neurons and synapses to distinguish the Watson and IBM research patterns and detect their arrival times on their own, which is a significant step forward in the development of energy-efficient, ultra-dense integrated neuromorphic technologies for applications in cognitive computing.


What's up Titan Nation? It's your boy here, Adam McMillan, better known as Titan Man. So here we are going into the last game of the season for Spot in the Playoffs. We're about midfield and Tana Hill drops back to throw the ball to AJ Brown who's down in double coverage. He comes up with the catch, the toe-drag, one yard line to set up the eventual derby touchdown. Looking he has all day, he throws deep downfield, the pass is caught by Brown. Yes! AJ caught it at the one! What a grab by AJ Brown who went in between two defenders and made the catch at the one yard line. What an amazing play. Let's go Titan!


Good afternoon, everyone, and welcome to the stockswush.com and doing a market update. This is happening live now. It's 2.45, the minutes announcement came out. My call for the market this morning on the minutes announcement was that it would rally. That was my call, bullishly, and that's exactly what it's doing. Could we have gapped down or traded down or done something that downside in the minutes? Sure. Sure we could have, but that's not the way that I saw it playing out. And then it's not the way that it's playing out. And the market is actually trading beautifully considering this was a minutes announcement. Usually it can go haywire. You actually could have played this. You actually could have gone long this. It's actually had a setup in here to go long. You could have played this. Very aggressive. But went up first, came in, had a nice buy set up here and lifted off. Lifted off and the next target's $196 and this market's going to get up tomorrow morning. This market's going to get up tomorrow morning. There's no stopping it now. So all the calls that I'm making, how this is playing out, how it's setting up, everything's falling through. Very nicely. Next target for the spy is $200. Well, I got two more days left in the week, but this bullish activity here today into the close is certainly going to help the market lift. So we could hit that number before the July 4th holiday. I put it out there that we could possibly retest this number before we get over it. I actually don't think it's going to happen. I think we're going to trade right over it whenever we do. Could be in the trading day today into the close. Could be gapping up over it tomorrow morning. Could be gapping neutral tomorrow morning and trade up over it tomorrow. So lots of scenarios there for it to set up. There's no way that anyone should be showing this market. I'm not sure why anyone ever thought this market was extended because it was new buying. They came in to lift the market that happened back at the end of May and the market will continue to lift. And as I said in all the videos I've been doing on the market calls I've been making for the last week or so, this market is higher and will get up over the high. And the way that this is setting up here today so beautifully, I actually think it can happen before before the holidays, before July 4th, because there was a possibility we could retest and then come in and slosh around and then do it later in July. But the way this is just trading like a perfect angel here, I actually think we just blow right over it and get rid of all the people that shorted this which should never have been happening. I mean there's no way, no way, no way anyone could possibly be looking at this in any directional bias but up. It's perfect. Boom, that's it. So 196 and did we get through before the close? We might, we might, we might just nicely trade up there till the close. If not we could gap up over that tomorrow morning. So looking for a bullish day-to-day in the market to close. A bullish day tomorrow in the market and to see wherever we go. Really nice volume in here, nice activity. I could have helped through all your lungs in the afternoon if you wanted to and you could have actually played this announcement which is so rare. So rare that something actually does exactly what it's supposed to do and has a set up but that's what happened here in this announcement. So it's just the confirmation to give me more conviction in the original bias that I had for the market to continue higher and follow through and break over the high and go to the next number which is 200. And there's going to be an unexpected number that the market will hit this year before the end of the year. And it sounds like unbelievable to some people but the market wants to run and it wants to get bought and people will realize then that they need to go long and then they will buy and then it will continue to lift the market higher. So long-term target for 2014 and the spy is 250 and a short-term target here if the market gets over the high and next week is 200. And I have no idea what a day we exactly get there. I just get up every day in the market and I read my gaps and that's how I figured all out and that's how I figured all of this out. That's how I've called the market so well. Yes, I do have a special talent for reading price. However, I I've actually been able to get better at that talent. I've been able to what's the word I'm trying to think that that that talent in me. I wasn't born with that or maybe it was. I don't know, but I mean, I really think the reading that I've done on gaps has increased my ability to be able to read all these things so well. So it's because I'm focusing on the gaps in the market and the charts that I've been able to continually day after day, week after week, month after month, reading so clearly for the current direction and then the follow-through direction for stocks in the market. So the the gap analysis that I do the reading of the gaps that I do is allowing me to continue to get better at reading price and my analysis of things so it's helped me to evolve my own skill set because I'm doing the gap readings. So it's the reading of the gaps and my analysis of the gaps in the 26 point rating system that has helped me get better at reading price and analyzing things for short term and long term moves and targets for things and the overall follow-through trends or lack thereof when something breaks. So, you know, I think that training is something that requires skill. You got to learn the right things to look at after you do. You just keep working on the skill set and over time then you will evolve into becoming a better chart reader, a better chart analysis, a better chart positioning at price, a better, you know, you'll have a better view of things because you're looking at the gaps. And I think that people tend to read trends with pivots and moving averages and it's just not enough information and so you really got to look at the right things. Look at this. You could even buy this here. Aye, aye, aye, aye, aye. Three o'clock major reversal time. You could buy a five minute buy set up in the market here. Market's going to close strong. So 196. I just look at this. This actually wasn't a bad here. This is fine. This is going to go. This is fine through right now. This is here. Three o'clock major reversal time market during a five minute buy set up is going to take the market into the close here long. This is a good car made in this really nice go market go. This is Melissa with the stocks wish.com. Have a great day everybody. And if you want to learn how to read charts and price, you got to learn how to read gaps. And if you want to learn how to read gaps, my class is the best one out there for it. The only person that I know that's teaching how to read gaps in this particular special specific way. And I think the people that find me are actually meant to make money in the market. So email me at Melissa at the stocks wish.com. If you want more information, the next gap class is this week in July, June 21st and June 22nd. It's June 21st and June 22nd. The price of the class is going to be increasing as of July 1st. And this market is going to close strong today. And we could even close above 196. We have an hour left. We have an hour left here. We could actually close above 196. We can actually have a big gap up in the market tomorrow. I have to look how we close here in a little bit. I'm going to check this later. But depending on the number that we close out, we could actually have a big gap up in the market tomorrow morning. Look at this. Here it is. This is just a thing of beauty. Have a great day, everybody. Email me at Melissa at the stocks wish.com. If you want more information. Thanks.