Podcasts about xiao wang

The US Supreme Court will hear arguments in a reverse discrimination case when the justices return to the bench at the end of the month.  A heterosexual woman is asking the court to revive her lawsuit against the Ohio Department of Youth Services where she's worked since 2004 after the US Court of Appeals for the Sixth Circuit said she hadn't shown the "background circumstances" necessary to take her case to trial. The court didn't just ask for a little bit more evidence, it asked for a lot more, said Xiao Wang, director of the University of Virginia's Supreme Court Litigation Clinic, who's representing Marlean Ames in her case. Wang and co-counsel Edward Gilbert join Cases and Controversies to discuss the case and what's at stake. Hosts Greg Stohr and Lydia Wheeler also chat about Trump's impending trade war and look at the legal doctrine that could stand in the way of his planned tariffs on China, Mexico, and Canada.  Hosts: Lydia Wheeler and Greg Stohr Produce: Mo Barrow Do you have feedback on this episode of Cases & Controversies, Give us a call and leave a voicemail at 703-341-3690.

Fluent Fiction - Mandarin Chinese: Lijuan's Journey: Finding Clarity Under Fireworks Find the full episode transcript, vocabulary words, and more:fluentfiction.org/lijuans-journey-finding-clarity-under-fireworks Story Transcript:Zh: 夏日的夜晚，海边充满了节日的气氛。En: On a summer night, the seaside was filled with a festive atmosphere.Zh: 明月挂在天空，银色的光洒在沙滩上。En: A bright moon hung in the sky, casting its silver light over the beach.Zh: 沙滩上一片热闹，摊位林立，笑声不断。En: The beach was bustling with life, rows of stalls set up and continuous laughter filling the air.Zh: 孩子们手持仙女棒，在沙滩上跑来跑去，欢声笑语回荡在空中。En: Children ran around the beach holding sparklers, their joyful laughter echoing in the night.Zh: 烟花在空中绽放，五彩缤纷的光影投射在波涛中，就像一个梦幻的世界。En: Fireworks burst in the sky, their colorful lights reflecting on the waves, creating a dreamlike scene.Zh: 李娟是一个二十多岁的年轻女子，刚刚大学毕业。她坐在沙滩上，望着远方的烟火，心中充满了对未来的不确定。En: Lijuan, a young woman in her twenties who had just graduated from university, was sitting on the beach, gazing at the distant fireworks, her heart full of uncertainty about the future.Zh: 她渴望稳定的生活，但又害怕作出错误的选择。En: She longed for a stable life but feared making the wrong choices.Zh: 她的家人希望她从事金融工作，因为这份工作收入高，前景好。En: Her family hoped she would work in finance because it promised high income and good prospects.Zh: 但是，她内心深处却一直对艺术充满了热情。En: However, deep down, she had always had a passion for art.Zh: 今天是端午节，当地举行了盛大的庆祝活动。En: Today was the Dragon Boat Festival, and there was a grand celebration in the area.Zh: 李娟决定一个人来沙滩参加这个节日，希望能够理清自己的思绪。En: Lijuan decided to come to the beach alone to clear her mind by attending the festival.Zh: 她漫无目的地走在沙滩上，忽然发现有一个小型的艺术展览。En: She wandered aimlessly along the beach and suddenly came across a small art exhibition.Zh: 她走进去，身边的一切仿佛都变得安静了下来。En: Walking inside, everything around her seemed to quiet down.Zh: 每一幅画作都深深地吸引着她，勾起了她内心深处的那份热情。En: Each painting deeply attracted her, stirring the passion deep within her heart.Zh: 就在这时，李娟遇到了一个熟悉的面孔。En: Just then, Lijuan met a familiar face.Zh: “是你吗，李娟？”对方是她的老朋友小王，现在已经是一名成功的艺术家。En: "Is that you, Lijuan?" It was her old friend Xiao Wang, who was now a successful artist.Zh: 两人聊了很久，小王告诉她，追求梦想虽然艰难，但只要坚持，总会有回报。En: They talked for a long time, and Xiao Wang told her that although pursuing dreams is difficult, persistence always brings rewards.Zh: 李娟听得入神，心中渐渐清晰。En: Lijuan listened intently, and her mind gradually became clearer.Zh: 烟花继续在天空绽放，李娟心中也下定了决心。En: Fireworks continued to burst in the sky, and Lijuan made up her mind.Zh: 她决定报考一个艺术课程，追随自己真正的梦想。En: She decided to enroll in an art course and follow her true passion.Zh: 虽然未来充满了不确定性，但她不再害怕，因为她终于找到了内心的答案。En: Although the future was full of uncertainty, she was no longer afraid because she had finally found the answer within her heart.Zh: 从那天起，李娟变得更加自信。En: From that day on, Lijuan became more confident.Zh: 她相信，只要勇敢面对未来，追求自己的梦想，一切都会变得美好。En: She believed that as long as she bravely faced the future and pursued her dreams, everything would be beautiful.Zh: 烟花在夜空中绚烂地消失，沙滩上的欢声笑语依旧，而李娟的心中也绽放出新的希望。En: The fireworks flamboyantly vanished in the night sky, the laughter on the beach continued, and new hope blossomed in Lijuan's heart. Vocabulary Words:festive: 节日的atmosphere: 气氛bustling: 热闹的stalls: 摊位continuous: 不断的laughter: 笑声sparklers: 仙女棒echoing: 回荡dreamlike: 梦幻的uncertainty: 不确定stable: 稳定的prospects: 前景wandered: 漫无目的地走aimlessly: 漫无目的地exhibition: 展览attracted: 吸引stirring: 勾起flamboyantly: 绚烂地vanished: 消失confident: 自信blossomed: 绽放seaside: 海边silver light: 银色的光graduates: 毕业passion: 热情grand: 盛大的celebration: 庆祝活动quieter: 安静persistent: 坚持reward: 回报

Xiao Wang is the co-founder and CEO of Boundless Immigration, a technology company that assists immigrants in navigating their immigration journey. With a background at Amazon, Xiao has honed his leadership skills to create a purpose-driven organization. Under his leadership, Boundless has served tens of thousands of immigrants annually, receiving countless positive feedback and testimonials. Xiao's focus on values, culture, and decision-making has led to the development of a successful and impactful company. Connect with Xiao on LinkedIn at https://www.linkedin.com/in/xiaowang1/ You'll hear Lindsay and Xiao discuss: Values should have edge and require trade-offs. Setting values that differentiate a company and necessitate trade-offs helps drive decisions and align the organization towards a common goal. Values evolve with maturity. As a company grows and faces new challenges, revisiting and evolving values is crucial to ensure they continue to guide decision-making effectively. Build a "black licorice culture." Focusing on attracting individuals who align with the company's unique culture ensures a cohesive team that can thrive in the organization's environment. Saying no is essential. Prioritizing and saying no to good but not great ideas is necessary to focus resources on what will have the most significant impact on the company's goals. Deliberate experimentation is key. Conducting experiments with specific learning objectives and actionable outcomes ensures that resources are used effectively and learnings drive meaningful change. Prioritization before experimentation. Choosing to focus on one key initiative rather than spreading resources thin across multiple experiments leads to more impactful results and clearer learnings. Specific learning objectives are crucial. Clearly defining what the company aims to learn from each experiment and how that learning will inform future actions is essential for driving progress. Values should be decision-making filters. Using values and cultural norms as filters for decision-making helps prioritize initiatives that align with the company's core beliefs and goals. Balance speed and thoroughness. Striking a balance between speed and thoroughness in decision-making is crucial to ensure efficient progress without sacrificing quality or effectiveness. Clear communication is key. Transparent communication about company values, goals, and expectations helps attract individuals who align with the organization's culture and mission, fostering a cohesive and effective team. Resources Xiao Wang on LinkedIn | Boundless Immigration

Xiao Wang (b. 1990), is a Chinese born, New York based figurative painter primarily working with oil paint. Wang's work combines dramatic and moody color palettes with a realism approach. He creates constructed scenes from photographs of still lifes, foliage, interior spaces, landscapes, himself, his friends, and loved ones. The contents of these scenes are rooted in everyday life, while the attention to atmosphere and emotion pushes the paintings to an uncanny space. With the use of theatrical lighting and distortion or exaggeration of colors, the world depicted in Wang's paintings is elevated to a dreamlike space. At the center of this space are human figures, often in solitude, unaware of the fourth-wall in front. Show Notes Xiao Wang on Instagram https://www.instagram.com/xiaowang_artist/ Xiao Wang website https://www.xiaowangartist.com/artist-bio --- Send in a voice message: https://podcasters.spotify.com/pod/show/thesidewoo/message

Large language models (LLMs), exemplified by ChatGPT, have gained considerable attention for their excellent natural language processing capabilities. Nonetheless, these LLMs present many challenges, particularly in the realm of trustworthiness. Therefore, ensuring the trustworthiness of LLMs emerges as an important topic. This paper introduces TrustLLM, a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. Our findings firstly show that in general trustworthiness and utility (i.e., functional effectiveness) are positively related. Secondly, our observations reveal that proprietary LLMs generally outperform most open-source counterparts in terms of trustworthiness, raising concerns about the potential risks of widely accessible open-source LLMs. However, a few open-source LLMs come very close to proprietary ones. Thirdly, it is important to note that some LLMs may be overly calibrated towards exhibiting trustworthiness, to the extent that they compromise their utility by mistakenly treating benign prompts as harmful and consequently not responding. Finally, we emphasize the importance of ensuring transparency not only in the models themselves but also in the technologies that underpin trustworthiness. Knowing the specific trustworthy technologies that have been employed is crucial for analyzing their effectiveness. 2024: Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, B. Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chun-Yan Li, Eric Xing, Furong Huang, Haodong Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, M. Kellis, M. Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, S. Jana, Tian-Xiang Chen, Tianming Liu, Tianying Zhou, Willian Wang, Xiang Li, Xiang-Yu Zhang, Xiao Wang, Xingyao Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao https://arxiv.org/pdf/2401.05561v1.pdf

Jailbreak attacks are crucial for identifying and mitigating the security vulnerabilities of Large Language Models (LLMs). They are designed to bypass safeguards and elicit prohibited outputs. However, due to significant differences among various jailbreak methods, there is no standard implementation framework available for the community, which limits comprehensive security evaluations. This paper introduces EasyJailbreak, a unified framework simplifying the construction and evaluation of jailbreak attacks against LLMs. It builds jailbreak attacks using four components: Selector, Mutator, Constraint, and Evaluator. This modular framework enables researchers to easily construct attacks from combinations of novel and existing components. So far, EasyJailbreak supports 11 distinct jailbreak methods and facilitates the security validation of a broad spectrum of LLMs. Our validation across 10 distinct LLMs reveals a significant vulnerability, with an average breach probability of 60% under various jailbreaking attacks. Notably, even advanced models like GPT-3.5-Turbo and GPT-4 exhibit average Attack Success Rates (ASR) of 57% and 33%, respectively. We have released a wealth of resources for researchers, including a web platform, PyPI published package, screencast video, and experimental outputs. 2024: Weikang Zhou, Xiao Wang, Limao Xiong, Han Xia, Yingshuang Gu, Mingxu Chai, Fukang Zhu, Caishuang Huang, Shihan Dou, Zhiheng Xi, Rui Zheng, Songyang Gao, Yicheng Zou, Hang Yan, Yifan Le, Ruohui Wang, Lijun Li, Jing Shao, Tao Gui, Qi Zhang, Xuanjing Huang https://arxiv.org/pdf/2403.12171v1.pdf

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are artificial entities that sense their environment, make decisions, and take actions. Many efforts have been made to develop intelligent agents, but they mainly focus on advancement in algorithms or training strategies to enhance specific capabilities or performance on particular tasks. Actually, what the community lacks is a general and powerful model to serve as a starting point for designing AI agents that can adapt to diverse scenarios. Due to the versatile capabilities they demonstrate, large language models (LLMs) are regarded as potential sparks for Artificial General Intelligence (AGI), offering hope for building general AI agents. Many researchers have leveraged LLMs as the foundation to build AI agents and have achieved significant progress. In this paper, we perform a comprehensive survey on LLM-based agents. We start by tracing the concept of agents from its philosophical origins to its development in AI, and explain why LLMs are suitable foundations for agents. Building upon this, we present a general framework for LLM-based agents, comprising three main components: brain, perception, and action, and the framework can be tailored for different applications. Subsequently, we explore the extensive applications of LLM-based agents in three aspects: single-agent scenarios, multi-agent scenarios, and human-agent cooperation. Following this, we delve into agent societies, exploring the behavior and personality of LLM-based agents, the social phenomena that emerge from an agent society, and the insights they offer for human society. Finally, we discuss several key topics and open problems within the field. A repository for the related papers at https://github.com/WooooDyy/LLM-Agent-Paper-List. 2023: Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Qin Liu, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huan, Tao Gui https://arxiv.org/pdf/2309.07864v3.pdf

Xiao Wang, a professor at the University of Virginia Law School, discusses Southwest Airlines appealing a court order requiring three in-house lawyers to attend religious freedom classes for not complying with an order in a case involving religious discrimination claims. June Grasso hosts.See omnystudio.com/listener for privacy information.

Xiao Wang, a professor at the University of Virginia Law School, discusses Southwest Airlines appealing a court order requiring three in-house lawyers to attend religious freedom classes for not complying with an order in a case involving religious discrimination claims. June Grasso hosts.See omnystudio.com/listener for privacy information.

His company grew 1,131 percent over the past three years–and he realizes that kind of fast pace isn't for everybody, even with an important mission in mind. Xiao Wang in 2017 had founded Boundless Immigration, a Seattle-based tech company that helps individuals and families navigate immigration paperwork and processes through data, and through its online platform. Today its process has a 99 percent success rate, and the company has helped more than 70,000 individuals file for green cards or citizenship. To keep growing at its rate, Xiao maintains an “adapt and evolve” strategy, and realizes that perfection is sometimes the enemy of progress. He tells host Christine Lagorio-Chafkin that his company's culture of fast-growth and constant change isn't for everyone–just like black licorice. 

Xiao Wang is the founder of a company called Boundless. Xiao's problem is this: How do you make it cheaper and easier for people to navigate the U.S. immigration system? Xiao moved to the U.S. from China when he was three years-old. For many years, he took for granted that immigration was slow, complicated, and expensive to navigate. With Boundless, he's built a platform to help people who try to figure out that system every year.See omnystudio.com/listener for privacy information.

With the urgent demand for generalized deep models, many pre-trained big models are proposed, such as BERT, ViT, GPT, etc. Inspired by the success of these models in single domains (like computer vision and natural language processing), the multi-modal pre-trained big models have also drawn more and more attention in recent years. In this work, we give a comprehensive survey of these models and hope this paper could provide new insights and helps fresh researchers to track the most cutting-edge works. Specifically, we firstly introduce the background of multi-modal pre-training by reviewing the conventional deep learning, pre-training works in natural language process, computer vision, and speech. 2023: Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiaoyong Wei, Yaowei Wang, Yonghong Tian, Wen Gao https://arxiv.org/pdf/2302.10035v1.pdf

His company grew 1,131 percent over the past three years–and he realizes that kind of fast pace isn't for everybody, even with an important mission in mind. Xiao Wang in 2017 had founded Boundless Immigration, a Seattle-based tech company that helps individuals and families navigate immigration paperwork and processes through data, and through its online platform. Today its process has a 99 percent success rate, and the company has helped more than 70,000 individuals file for green cards or citizenship. To keep growing at its rate, Xiao maintains an “adapt and evolve” strategy, and realizes that perfection is sometimes the enemy of progress. He tells host Christine Lagorio-Chafkin that his company's culture of fast-growth and constant change isn't for everyone–just like black licorice. 

This paper presents contrastive-tuning, a simple method employing contrastive training to align image and text models while still taking advantage of their pre-training. In our empirical study we find that locked pre-trained image models with unlocked text models work best. We call this instance of contrastive-tuning “Locked-image Tuning” (LiT), which just teaches a text model to read out good representations from a pre-trained image model for new tasks. 2021: Xiaohua Zhai, Xiao Wang, Basil Mustafa, A. Steiner, Daniel Keysers, Alexander Kolesnikov, L. Beyer Ranked #1 on Zero-Shot Transfer Image Classification on ImageNet ReaL https://arxiv.org/pdf/2111.07991v3.pdf

After holding the GeekWire Awards virtually for the past two years, there was a feeling of real catharsis Thursday evening as hundreds of people streamed through the doors of the Showbox Sodo in Seattle for our annual celebration of the Pacific Northwest's top tech startups, leaders, and innovations. For the finalists in the 2022 GeekWire Awards, recognition at the superhero-themed show came with the added bonus of knowing that their companies made it through a period of unprecedented challenge and change. But the week also brought a new sense of uncertainty about what's to come. [Related Post:2022 GeekWire Awards revealed: Community celebrates big winners in Pacific NW tech] Uber CEO Dara Khosrowshahi's widely cited memo on Monday was a flashpoint for the tech industry, adding to existing concerns by warning of a “seismic shift” in the markets, signaling tougher times and tighter belts ahead. Some of the startup CEOs in attendance acknowledged reading his message closely. So we took our cues from the backdrop, literally and figuratively — inviting tech leaders aside at the event to ask questions such as: What's your take on the possibility of new economic realities? What are your biggest challenges and priorities for the rest of the year? And, of course: which superhero best reflects your company's ethos? The result was a glimpse into the collective psyche of the tech community in a key U.S. innovation hub, at a pivotal moment for the country and the world. Guests on this episode, in order of appearance: Xiao Wang, CEO of Boundless Immigration, finalist for CEO of the Year. Maria Karaivanova, co-founder & COO of WhyLabs. Varun Puri, co-founder of Yoodli, winner of Young Entrepreneur of the Year with his co-founder Esha Joshi. Lisa Gurry, COO of Truveta, winner of Health Innovation of the Year Dave Cotter, chief product officer of Leafly, and chair of the Washington Technology Industry Association, sponsor of the Public Policy Champion for Innovation Award. Laura Ruderman, Technology Alliance CEO. David Kirtley, founder and CEO of Helion, finalist for Innovation of the Year. Stephanie Winslow, Teacher, South Kitsap High School, one of three STEM Educators of the Year. Grant Goodale, carrier experience officer, Convoy, past winner of Next Tech Titan. Mo Bhende, co-founder & CEO at Karat, finalist for Next Tech Titan. Faisal Masud, CEO of Fabric, finalist for Next Tech Titan. Kiana Pan, president of CodingDojo, honoree in the Geeks Give Back category. Tushar Garg, CEO of Flyhomes, finalist for Workplace of the Year. Byron Baker, head of design at Blink UX, sponsor and judge in UX Design of the Year. Thanks to the tech leaders who answered our questions, to our GeekWire Awards attendees, finalists, and sponsors, and to our social media partner Jordan Curtis of Line Leader Media for his help with this episode.  Read about all of the GeekWire Awards finalists and winners in our special coverage. Related Episodes: Immigration and tech: New realities, old problems, and what's at stake for the future Key trends in digital commerce, with the former Amazon exec leading Seattle's newest unicorn Ungrading? Letting kids teach IT? GeekWire Award-winning STEM teachers share innovative strategies See omnystudio.com/listener for privacy information.

Nǐ jìde wǒmen zuótiān liáotiān de nèiróng me? 你记得我们昨天聊天的内容么？ Do you remember what we talked about yesterday? Jìde ya. Wǒmen bùshì tǎolùn le gébì bàngōngshì Xiǎo Wáng xīn mǎi de pǎobùjī me? 记得呀。我们不是讨论了隔壁办公室小王新买的跑步机么？ I remember. Didn't we talk about Xiao Wang's new treadmill in the office next door? Duì, ránhòu jīntiān wǒ shǒujī shang de gèzhǒng ruǎnjiàn jiù dōu zài tuījiàn pǎobùjī. 对，然后今天我手机上的各种软件就都在推荐跑步机。 Yes, and today all kinds of software on my phone are recommending treadmill. Wǒ yěshì! Lián duǎnshìpín ruǎnjiàn dōu gěi wǒ tuījiàn gèzhǒng shìnèi jiànshēn qìcái hé jiǎnféi shípǔ. 我也是！连短视频软件都给我推荐各种室内健身器材和减肥食谱。 Me too! Even the short video software recommends all kinds of indoor fitness equipment and weight loss recipes to me. Wǒmen de yǐnsī shùjù ānquán zhēnde shìgè dà wèntí. 我们的隐私数据安全真的是个大问题。 The security of our private data is really a big problem.

Chào mừng các bạn đến với bài số 6: #Ep6《我的家》- Nhà của tôi - Học tiếng Trung cùng Wang Long - Learn Chinese with Wang Long Các bạn cần thông tin sách có thể liên hệ với mình qua facebook.com/wangjunlong666 hoặc zalo 0386668836 nha ^^ Sau đây là Nội dung bài khóa:《我的家》 我和我爱人都是1992年大学毕业的, 毕业两年以后我们结了婚。我们俩也算大学同学吧, 我是中文系的, 他是外语系的。嗯? 我们俩怎么认识的? 是别人介绍认识的。上大学的时候我可不认识他, 我参加工作以后, 我们电视台的小王给我们介绍的。小王呢, 他是外语系的, 和我爱人是同班同学啊! 结婚的时候我们是去海南旅行结婚的, 跟一个旅游团 一起去的, 回来的时候我们自己坐飞机回来的。因为那 个旅游团在海南只玩儿五天 ,时间太短了。这套房子是我们结婚以后买的, 不过买的时候只交了五万块钱, 还有十五万块钱, 要用十年的时间交完, 我们现在每个月要向银行交一千多块钱。不过我们觉得还可以, 没问题。哎, 小华, 别走, 过来, 这是田阿姨。这是我女儿, 快五岁了, 再过一年就该上学了。 --- Phiên âm:【 Wǒdejiā 】 【 Wǒ hé wǒ àirén dōu shì 1992 nián dàxué bìyè de, bìyè liǎng nián yǐhòu wǒ |men jiéle hūn. Wǒmen liǎ yě suàn dàxué tóngxué ba, wǒ shì zhōngwén xì de, tā shì wàiyǔ xì de. Ń? Wǒmen liǎ zěnme rènshí de? Shì biérén jièshào rènshí de. Shàng dàxué de shíhòu wǒ kěbù rènshí tā, wǒ cānjiā gōngzuò yǐhòu, wǒmen diànshìtái de xiǎo wáng gěi wǒmen jièshào de. Xiǎo wáng ne, tā shì wàiyǔ xì de, hé wǒ àirén shì tóngbān tóngxué a! Jiéhūn de shíhòu wǒmen shì qù hǎinán lǚ háng jiéhūn de, gēn yīgè lǚyóu tuán yīqǐ qù de, huílái de shíhòu wǒmen zìjǐ zuò fēijī huílái de. Yīnwèi nàgè lǚyóu tuán zài hǎinán zhǐ wán er wǔ tiān, shíjiān tài duǎnle. Zhè tào fángzi shì wǒmen jiéhūn yǐhòu mǎi de, bùguò mǎi de shíhòu zhǐ jiāole wǔ wàn kuài qián, hái yǒu shíwǔ wàn kuài qián, yào yòng shí nián de shíjiān jiāo wán, wǒmen xiànzài měi gè yuè yào xiàng yínháng jiāo yīqiān duō kuài qián. Bùguò wǒmen juédé hái kěyǐ, méi wèntí. Āi, xiǎo huá, bié zǒu, guòlái, zhè shì tián āyí. Zhè shì wǒ nǚ'ér, kuài wǔ suìle, zàiguò yī nián jiù gāi shàngxuéle. 】 --- Dịch: Nhà của tôi Tôi và vợ đều tốt nghiệp đại học năm 1992, và kết hôn sau đó 2 năm. Hai chúng tôi cũng là bạn học đại học, tôi học khoa tiếng Trung còn anh học khoa ngoại ngữ. Hmm? Làm thế nào chúng tôi gặp nhau? Là được giới thiệu bởi một người khác. Tôi không biết anh ấy khi tôi còn học đại học. Sau khi tôi bắt đầu làm việc, Xiao Wang từ đài truyền hình của chúng tôi đã giới thiệu chúng tôi với nhau. Về phần Xiao Wang, anh ấy là sinh viên chuyên ngành ngoại ngữ, vợ chồng tôi học cùng lớp! Khi cưới, chúng tôi đi du lịch Hải Nam để kết hôn, và chúng tôi đi cùng một nhóm du lịch. Khi trở về, chúng tôi đã trở lại bằng máy bay. Bởi vì đoàn du lịch đó chỉ ở Hải Nam năm ngày, thời gian quá ngắn. Chúng tôi sau khi kết hôn đã mua căn nhà này, nhưng lúc mua chỉ trả 50.000 tệ, còn 150.000 tệ, mười năm nữa mới trả được, bây giờ mỗi tháng phải trả cho ngân hàng 1.000 tệ. . Nhưng chúng tôi nghĩ không sao cả, không sao cả. Này, Xiaohua, đừng đi, lại đây, đây là dì Điền. Đây là con gái tôi, gần năm tuổi, sang năm sẽ đi học tiểu học. --- Bài tập 1 - 作业1: 根据录音内容判断正误: Căn cứ nội dung nghe phán đoán đúng sai： 1) 她和她爱人是上大学的时候认识的。 2) 她爱人和小王是大学同学。 3) 她在电视台工作。 4) 他们结婚的时候去海南旅行了。 5) 他们的房子每个月的租金是一千多块钱。 6) 她的女儿已经五岁了。 Bài tập 2 - 作业2: 根据录音内容选择正确答案: Căn cứ nội dung nghe lựa chọn đáp án： 1) 他们是哪年结婚的? A. 1994年 - B. 1996年 - C. 1992年 2) 小王是: A. 她的同班同学 - B. 她爱人的同班同学 - C. 她的好朋友 3) 他们这套房子大概多少钱? A. 二十万 - B. 十五万 - C. 五万 4) 她的女儿: A. 现在正想去上学 - B. 六岁的时候去上学 - C. 今年该上学了 5) 他们结婚的时候: A. 在海南只玩儿了五天 - B. 在海南玩儿了不到五天 - C. 旅游团回来的时候,他们没有回来,又在海南南玩儿了几天 --- Kĩ năng nghe hiểu tiếng Hán (theo chủ đề) Luyện thi HSK1, HSK2, HSK3, HSK4, HSK5, HSK6, HSKK Sơ cấp, HSKK Trung cấp, HSKK Cao cấp Tiếng Trung giao tiếp Luyện nghe nói Tiếng Trung Học tiếng Trung cùng Wang Long Learn Chinese with Wang Long

Like many, Xiao Wang knows firsthand the complex and often impossible challenges that immigrants to the U.S. face. As the Co-Founder & CEO of Boundless, an immigration technology company led by immigrants, he helps families navigate the complex legal immigration system more confidently, rapidly, and affordably than ever before.

Lack of sleep College student Xiao Wang just arrived for a morning class. She appears to be unusually tired, so her friend Xiao Pan is concerned. What are Xiao Wang's normal sleep hours? Wang: (Yawning). Pan: 你今天怎么这么困啊？ Wang: 我昨天晚上十二点才(cái, indicating lateness)睡觉。 Pan: 十二点，不太晚啊。你平常晚上几点睡觉？ Wang: 我平常都十点就(jiù, indicating earliness)睡觉。 Pan:那几点起床呢？ Wang: 我平常早上七点起床，可是我今天六点就起了，所以只睡了六个钟头。 Pan: 六个钟头？不少啊。 Wang: 可是我平常每天都睡九个钟头的。 Pan: 哇！你睡那么长时间啊。 Wang:啊。 那你平常睡几个钟头？ Pan: 我平常晚上十二点睡觉，早上六点起床。 Wang: 所以你每天晚上只睡六个钟头啊？ Pan: 对啊！

This week: how the pandemic, politics, labor shortages, and the rise of remote work are impacting U.S. immigration in the tech industry and beyond — and how ongoing challenges in the system could be putting the country's future at risk. Our guest is Xiao Wang, CEO and co-founder of Boundless, a Seattle technology company that streamlines the immigration process.  Related Stories and Links GeekWire: Immigration startup Boundless raises $25M, eyes opportunity with ‘pro-immigrant administration' Seattle startup Boundless raises $7.5M to acquire rival RapidVisa and grow online immigration tools Axios: Little-noticed spending bill provision could fix green card backlog New York Times: Contending With the Pandemic, Wealthy Nations Wage Global Battle for Migrants Boundless: House Passes Sweeping Social Spending Plan With $100B Earmarked for Immigration Reform Hosted by GeekWire co-founders Todd Bishop and John Cook. Produced and edited by Curt Milton. Theme music by Daniel L.K. Caldwell.  See omnystudio.com/listener for privacy information.

Here's the guest line-up for Sat, Oct 16, 2021 from 4 to 6pm CST on Indo American News Radio (www.IndoAmerican-news.com). We are on 98.7 FM and you can also listen on the masalaradio app (www.masalaradio.com) By Monday you can hear the recorded show on Podcast uploaded on Spotify, Apple Podcasts, Google Podcasts, Pocket Casts, Radio Public and Breaker. SUBSCRIBE TO OUR FREE PODCAST CHANNEL AND YOU WILL BE ABLE TO LISTEN WITH JUST ONE CLICK!! 4:20 pm Xiao Wang is the co-founder and CEO of Boundless Immigration which uses technology to help families navigate the US immigration system more confidently, rapidly and affordably. He joins us to explain how his company's system works. 5:00 pm October is Domestic Violence Awareness Month and Harris County's District Attorney's office is highlighting its programs to help curb violent acts. Asst. District Attorney Mary McFaden joins us to tell us about these programs and her role as the Domestic Violence Division Chief. 5:20 pm Two Houston non-profits - Pragati and Ashirwaad - have joined forces to hold a Diwali Dinner and program on October 29. Geetha Ravula with Ashirwaad joins us to tell us more. 5:40 pm Our Mumbai correspondent Avinash Gavai calls in LIVE from the city to tell us what new and exciting things have been happening there since his last call in August. Also stay tuned in for news roundup, views, sports and movie reviews IF YOU'D LIKE TO BE FEATURED ON THE SHOW, OR TO ADVERTISE, PLEASE CONTACT US AT 713-789-6397 or at indoamericannews@yahoo.com --- Support this podcast: https://anchor.fm/indo-american-news-radio/support

It is 9 o'clock in the morning. American student Emily is caught in the traffic. She is on her way to Beijing Railway Station to meet her Chinese friend Xiao Wang. They were planning to take the 9:20 train to Tianjin. How far is Emily from the railway station now? What are they going to do now that Emily is going to be late? W: 喂？Emily，你到了吗？ E: 我还没到。你呢？ W: 我已经到了，快九点了，你到哪儿了？ E: 实在抱歉。我现在还在二环路，这条路又堵车了，所以我们得换条别的路走了。 W: 啊？那你大概什么时候能到？ E: 我不知道。司机说差不多40分钟。 W: 那9：20的火车我们来不及了。怎么办？ E: 我们坐下一趟吧？下一趟是几点的？ W: 下一趟是9：50的，恐怕也来不及吧。 E: 那再下一趟几点？ W: 再下一趟是10：20。 E: 我们就坐10：20的吧。我让司机尽快赶到。请你耐心等一会儿。 W: 那好吧！我在火车站门口等你。你到了以后给我打个电话吧。 E: 好的。再见。

Today, in episode 34 of the GMI Rocket show, I'm interviewing one of the immigration tech stars of the last few years: Xiao Wang, co-founder, and CEO of Boundless. I actually first heard about Boundless on an episode of The Pitch, a podcast where guests pitch their startups to a panel of VC investors. I still remember the day - I was on the bike at my gym, and I was SO HAPPY to hear immigration tech in the spotlight! Since then, Boundless has raised over $18 million, and with its last round, acquired a competitor, RapidVisa. With the new administration and general trends within the industry, there's a huge need for tech. But immigration tech raises a lot of questions too... So here's what we'll be talking about:: Xiao's early days and his family's immigration story Xiao's time at Stanford and his impressive jobs after graduation What led Xiao to business school, and his time at Amazon How the idea for Boundless was born and how Xiao launched it Xiao's experience raising VC funding and acquiring a competitor How Boundless coexists with the traditional immigration law model The future for Boundless and the immigration industry overall And more! For More Information On Boundless: https://www.boundless.com/

Xiao Wang is an immigrant and Co-Founder and CEO of Boundless Immigration, a team made up of immigrants and experts who assist those who are seeking green cards and citizenship in finding resources and information to make their journey less daunting.

Entrepreneur and immigration disruptor Xiao Wang discusses how “learning too much” about our immigration system prompted him to found Boundless: a company that empowers families to navigate the system with confidence and without breaking the bank.

Xiao Wang, Founder of Boundless, a start up that empowers families to navigate the immigration system more confidently, rapidly, and affordably. Originally aired on September 12, 2020.

For startup leaders accustomed to building their businesses in boom times, the economic impact from the COVID-19 pandemic goes beyond mere setback, into the realm of complete shock. But even in these unprecedented times, there are lessons to be learned from past downturns, and from the steps other startups are taking to navigate the current crisis. "We have a whole generation of people who never went through anything that looked like a dislocation or a downturn," says Dan Rosen, chair of the Alliance of Angels, an investor, biophysicist and veteran tech executive who has been through multiple economic cycles. "This is a change in mindset from, 'I need to grow my business as quickly as possible' to 'I need to survive'." Rosen, who authored a widely read column on the topic, joined entrepreneur Xiao Wang, President and CEO of Boundless Immigration, on a recent webinar from the University of Washington’s CoMotion innovation hub in Seattle, part of its “Fundamentals for Startups” series. The webinar, recorded on April 10, was moderated by Seattle-area tech and business leader Ken Myer, interim executive and UW lecturer and commercialization advisor, who urged startup leaders to see the crisis as an opportunity to grow. "This is a phenomenal development experience for you as a leader," Myer said. "Crucible moments in our lives are what shape leadership moments. If you can see it as a learning opportunity, you're going to come out of this thing a much more effective leader today and down the road." The discussion, on "Negotiating Startup Life through a Crisis," was full of specific guidance and long-term perspective for startups and their leaders. We at GeekWire learned a lot from the conversation, and we asked if we could share edited highlights on a special episode of the GeekWire Podcast.

Xiao Wang is the co-founder and CEO of the Seattle-based startup, Boundless. Boundless is an immigration company with a mission to “empower families to navigate the immigration system more confidently, rapidly, and affordably.” In 2018, they received the Torch Award for “Business of the Year” from the Better Business Bureau. Xiao’s credentials include leadership roles at Amazon Go, Providence Equity, NYC Department of Education, and McKinsey. Xiao holds a BA/MS from Stanford University and an MBA from Harvard Business School. On top of that, he’s an immigrant himself; his family relocated from China to the United States when he was a child.

Xiao Wang is the Co-Founder and CEO of Boundless, a Seattle, Washington based startup that is democratizing the immigration process offering an inexpensive, and highly successful, online platform for marriage green cards and US citizenship.  He has an undergraduate and graduate degrees from Stanford University and earned his MBA at Harvard University.  Before starting Boundless, Xiao worked…Continue reading ➞ Xiao Wang, CEO, Making Boundless Opportunities for Immigration – Episode 61The post Xiao Wang, CEO, Making Boundless Opportunities for Immigration – Episode 61 first appeared on Mike Malatesta.

Xiao Wang is the Co-Founder and CEO of Boundless, a Seattle, Washington based startup that is democratizing the immigration process offering an inexpensive, and highly successful, online platform for marriage green cards and US citizenship.  He has an undergraduate and graduate degrees from Stanford University and earned his MBA at Harvard University.  Before starting Boundless, Xiao worked…Continue reading ➞ Xiao Wang, CEO, Making Boundless Opportunities for Immigration – Episode 61

A little over a year ago, Xiao Wang came on the show to pitch his startup, Boundless. He told investors that his company was going to help immigrants cut through all the bureaucracy and paperwork required to get legal status. Today, the stakes around immigration are even higher than they were a year ago, so we wanted to see how Boundless is faring in this new world.  Today's investors are Jillian Manus, Daniel Gulati, Phil Nadel, and Michael Hyatt.

Xiao Wang talks about his own family’s process of immigrating to the United States from China and how it influenced him to start his company, Boundless Immigration. Before Boundless, Xiao received degrees from both Stanford and Harvard Universities and worked for McKinsey, the New York City Department of Education, and Amazon. With the help of Pioneer Square Labs, Xiao decided to leave the corporate world and cofound his company in 2017. Xiao discusses what his parents went through during their immigration process, his plans for what he wants to achieve with Boundless in the future, and how he’s extremely proud of their 100% approval rate from the government. He also shares his passion for doing multiple Ironman triathlons, why he got really into cooking, and how he’s fueled by “contributing a meaningful brick” to the great wall of humanity. 

Xiao Wang is the co-founder and CEO of Boundless, helping families navigate the complex legal immigration system more confidently, rapidly, and affordably than ever before. Prior to Boundless, he held leadership roles at Amazon Go, Providence Equity, NYC Department of Education, and McKinsey. Xiao holds a BA/MS from Stanford University and an MBA from Harvard Business School. On this episode, we hear from Xiao about his upbringing as a Chinese immigrant raised in the suburbs of Seattle, how training for endurance races has made him a better founder and executive, and advice he has on how to find your passion. Learn more about Boundless at: https://boundless.com Follow Xiao on LinkedIn: https://www.linkedin.com/in/xiaowang1/ Recommended books written by Brad Feld: https://www.amazon.com/Brad-Feld/e/B0043MYSL8

We help immigrants and their families with their finances, but we often get questions that are related to immigration, as well. We cannot provide immigration advice to them, so I’m very pleased and excited to have Xiao Wang on the show today. Xiao owns Boundless, a firm that helps families navigate the complex immigration system confidently, rapidly, and affordably. You can find show notes and more information by clicking here: https://bit.ly/2GYJQni

In episode 15 of the NüVoices Podcast, co-host Alice Xin Liu interviews the co-founder and lead singer of Xiao Wang 小王, Anlin Fan. Since she started the band with her best friend, Yuyang, just a few years ago, Xiao Wang has become a staple of the Chinese rock and punk scene. When Anlin isn’t tearing up the stage, she spends her time finishing her master’s degree at McGill University. Here, she discusses growing up in China, the Riot Grrrl movement, tips on starting a rock band, her work with Rock Camp for Girls in Montreal, and her take on feminism and intersectionality. This episode also samples Xiao Wang’s new demo, “Sonic Baby,” and provides new recommendations for self-care.

Speaker 1:           Hi, everyone. Welcome to episode 21 of Getting Personal, Omics of the Heart from October 2018. I'm Jane Ferguson, an Assistant Professor at Vanderbilt University Medical Center and an Associate Editor at Circulation: Genomic and Precision Medicine. We have a great issue this month. So, let's dive straight in. First up, an article on "Loss-of-Function ABCC8 Mutations in Pulmonary Arterial Hypertension" from Michael Bohnen, Wendy Chung and colleagues from Columbia University. In pulmonary arterial hypertension, or PAH, compromised pulmonary arterial function can raise pressure in the pulmonary artery which leads to increased pulmonary vascular resistance. This ultimately results in right heart failure. While PAH is relatively rare, it has a high rate of mortality. Some genetic underpinnings have been identified, notably the KCNK3 gene identified by the same research group where they find that mutations result in potassium channelopathy. However, here the authors hypothesized that other genetic contributors also exist and that identification of these could highlight new therapeutic targets to improve treatment and outcomes in PAH. In their study, the authors performed exome sequencing for discovery of novel disease variants in 233 PAH patients, 99 of whom had pediatric-onset and 134 with adult-onset. They sequenced a replication sample of 680 individuals with adult-onset PAH. They found a de novo missense variant in the ABCC8 gene in one patient and then found 10 more ABCC8 variants in other unrelated patients in the discovery and replication samples. Half of these were novel mutations and all were located in conserved regions and predicted to be deleterious. They screened over 33,000 subjects from the Exome Aggregation Consortium and over 49,000 from the Regeneron-Geisinger DiscovEHR study and found significant overrepresentation on rare ABCC8 variants in the PAH cases compared with population controls. ABCC8 encodes sulfonylurea receptor ... part of the potassium ATP channel. The authors determined that it is expressed in lungs in both PAH and healthy individuals and is particularly localized to alveolar macrophages and proximal pulmonary arteries. They expressed eight of the newly discovered ABCC8 mutations in COS cells, which are a monkey-derived, fiberglass-like cell line and they assessed the effects on function. They used patch-clamp experiments to assess potassium ATP channel activity and recorded efflux rates of Rubidium-86. Every mutation was associated with impairments in one or both functional assays, suggesting that mutations in ABCC8 are responsible for PAH by a modulating potassium channel function and flux. An existing drug, Diazoxide, targets ABCC8 and has anti-hypertensive and insulin-lowering effects. The authors find that all mutants were pharmacologically activated by Diazoxide in the functional assays. Now, whether this drug would be safe or effective in PAH remains unknown, but these findings open up targeting of ABCC8 as a possible treatment in PaH and highlight the importance of potassium channels in PAH. Our next paper also used whole-exome sequencing for novel discovery. Marzia de Bortoli, Alessandra Rampazza and colleagues from the University of Padua in Italy published "Whole-Exome Sequencing Identifies Pathogenic Variants in TJP1 Gene Associated With Arrhythmogenic Cardiomyopathy". Arrhythmogenic Cardiomyopathy, or ACM, is one of the most common causes of sudden unexpected death in athletes and young people. It is known to be frequently caused by mutations in genes encoding mechanical junction proteins of the intercalated disks within the cardiac muscle. However, some individuals with ACM do not have any mutations in known genes. This research group was interested in finding novel causal gene mutation and they use whole-exome sequencing to identify mutations from a single patient in Italy. They used InSilica tools to screen for potentially damaging mutations which brought their list of candidate mutations down to 52 and this was topped by a novel mutation in the TJP1 gene which was predicted to be highly deleterious using various algorithms. Using Sanger sequencing, they found that this mutation was also present in several family members. A second mutation in TJP1, also predicted to be damaging, was identified in a second Italian family. They then screened a sample of 43 Dutch and German subjects diagnosed with ACM and found that, once again, mutations in TJP1 topped the list as predicted to be damaging. The TJP1, or tight junction protein 1, encodes the intercalated disk proteins ZO1. The identified mutations may affect folding and local interactions within the protein, affecting protein-protein interactions and gap junction organization. Well, within this paper, they were not able to fully disentangle the mechanisms linking these mutations to disease, given that the prevalence of TJP1 mutations in their ACM samples was almost 5%. Screening for TJP1 mutations in ACM cohorts may identify many additional affected subjects. Further research into TJP1 is needed to identify how these variants may cause ACM. If you want to read more about this paper, you can check out the accompanying editorial from Jason Roberts ... Western University, Ontario ... in this same issue. Next up is a paper from Natsuko Tamura, Yasuhiro Maejima, Mitsuaki Isobe and colleagues from Tokyo Medical and Dental University entitled "Single-nucleotide Polymorphism of the MLX Gene Is Associated With Takayasu Arteritis". Takayasu Arteritis, or TAK, is an autoimmune disease causing aortic vasculitis that is poorly understood and disproportionately affects young Asian women. In previous genome-wide associations, study of TAK in Japanese individuals conducted by this group, indicated SNPs in the MLX gene. In this paper, the authors aim to identify mechanisms linking MLX mutations with TAK. The top GWAS SNP rs665268 is a missense mutation causing L-Glutamine Arginine substitution in the DNA binding site of MLX. They found that this SNP was associated with severity in disease in TAK. With additional copies of the risk alleles associated with more severe aortic regurgitation and greater number arterial lesions. In mice, the highest expression of MLX was found in the aortic valves. Using crystallography, they found that the missense mutation likely stabilizes a complex formed between MLX and MondoA. Immunoprecipitation experiments confirmed that the missense mutation was associated with enhanced MLX MondoA heterodimer formation and MLX transcriptional activity. This resulted in upregulation of TXNIP and higher TXNIP expression is associated with increased intracellular oxidative stress and the authors found for increased oxidative stress in cells carrying the MLX mutation. Further, additional cell experiments showed evidence of this MLX mutation reduces autophagy and stimulates inflammasome activation. Overall, through a series of really elegant experiments, the authors demonstrate that a missense mutation in MLX leads to inflammasome activation and accumulation of cells within the aorta, potentially underlying the pathophysiology seen in TAK patients and highlighting novel causal pathways that may be probed therapeutically.regular Our next paper from Danxin Wang, Wolfgang Sadee and colleagues from the University of Florida and The Ohio State University, also delves into the functional impact of disease-associated SNPs. In their paper, "Interactions Between Regulatory Variants in CYP7A1 Promoter and Enhancer Regions Regulate CYP7A1 Expression", they used a series of experiments to demonstrate how SNPs in CYP7A1 ... which have been associated with cholesterol and cardiovascular disease ... are related to gene function. CYP7A1 is a gene which coordinates a key pathway for cholesterol removal from the body because it encodes an enzyme which is rate-limiting for bioassay synthesis from cholesterol. Although several SNPs in the gene have been associated with cardiovascular phenotypes, the reported effects on gene function have been inconsistent and/or unclear. Because of the linkage disequilibrium between SNPs, it has been hard to understand which SNP or SNPs are actually functional. What this team set out to do was to systematically screen functionality of individual CYP7A1 SNPs to understand the independent effects of each functional variant. First, they used chromatin conformation capture, or 4C assay, to identify regions that associated with a CYP7A1 promoter. They found three distinct regions with evidence of enhancer function and [phonetic 00:09:05] active A>G regulation. They, next, used CRISPR Cas9 to delete each of the three regions in HepG2 cells and assess effects on CYP7A1 expression. One region had no effect, while one led to increased expression and one led to decreased expression ... thus, identifying the presence of both enhancer and repressor regions. Using reporter gene assays, they confirmed the effects seen in CRISPR experiments. Based on reported SNP associations, they narrowed down candidate functional SNPs within the regions and constructed reporter assays containing haplotypes of potential functional SNPs. They were able to identify two SNPs acting together to determine differences in CYP7A1 gene expression. Because these SNPs are in LD, but the minor alleles have effects in opposite directions, considering genotype at both SNPs is required to understand the effects on gene expression. This explains why previous studies found inconsistent results. Both during the functional experiments, they went to human samples and they assessed the combined effect of the two SNPs on clinical phenotypes. Designating people as high or low activity based on the two SNPs, they found significant differences in cholesterol and in the likelihood to reach cholesterol targets on statin, as well as in the risk of MI. This paper is a lovely example of how careful functional interrogation can tease out a complex problem and I think it highlights how much more of this type of work needs to be done for the many other genomic regions with confusing or discord in associations. The last full-length article concerns the "Effect of Ascertainment Bias on Estimates of Patient Mortality in Inherited Cardiac Diseases" and comes from Eline Nannenberg, Imke Christiaans and colleagues at the Academic Medical Center, Amsterdam. They were interested in how much ascertainment bias and the tendency to publish findings from more severe disease cases affects the mortality estimates that are used to guide clinicians and genetic counselors when helping patients understand their disease prognosis. They revisited three inherited cardiac diseases including idiopathic ventricular fibrillation associated with a mutation in DPP6, SCN5A overlap syndrome associated with SCN5A mutations, and Arrhythmogenic Cardiomyopathy caused by a founder PLN mutation. They analyzed mortality over 2-10 years of clinical screening and cascade screening and found that the median age of survival quickly increased in all three conditions. In many cases, the reason that a mutation was identified was because of severe disease in that patient or family, but as the authors highlight here, this can bias publications towards associating the variant with more severe phenotypes and higher mortality. Following up the initial findings with additional screening and tracking of affected individuals is important to subsequently give a more accurate estimation of the effect of the mutation which can be used to inform treatment plans. Moving on to this month's research letters, Catherine Hajek, Jerome Rotter and colleagues from LA BioMed and the University of South Dakota, published the results of their study, "A Coronary Heart Disease Genetic Risk Score Predicts Cardiovascular Disease Risk in Men, Not Women: The Multi-Ethnic Study of Atherosclerosis". The genetic risk scores are being increasingly applied to estimate disease risk in individuals. However, these scores are based on the GWAS discovery from specific populations which have often been disproportionately male and with individuals of European ancestry. In this letter, the authors wanted to understand whether coronary heart disease genetic risk scores performed the same in men and women of European ancestry. Using data from the MESA Study, they applied a 46 locus genetic risk score to over 2500 individuals. In men, this risk score was strongly associated with event rates. However, in women, there was no association. Given the known differences in disease pathophysiology and manifestation between men and women, this finding additionally highlights the need to conduct genetic studies in underrepresented groups so that we can design scores that accurately predict risk within specific groups. Our next letter comes from Xiao Wang and Kiran Musunru at the University of Pennsylvania ... "Confirmation of Causal rs9349379- PHACTR1 Expression Quantitative Trait Locus in iPSC Endothelial Cells". They were interested in understanding the affect of a coronary disease SNP in the PHACTR1 gene on gene expression. Previous efforts to investigate this had yielded conflicting results showing either a significant eQTL effect for PHACTR1 and vascular tissue or no effect on PHACTR1, but an effect on a distal gene EDN1 in endothelial cells. For this study, the authors used CRISPR Cas9 to introduce the SNP to iPS cells and then expanded isogenic lines at the major and minor allele homozygous and differentiated these into endothelial cells. They find that the major allele was associated with significantly higher factorial expression, but no difference in EDN1 expression. Thus, based on these experiments, it appears that PHACTR1 may indeed be the causal gene in that region underlying the GWAS signal and whether or not EDN1 is involved remains unclear. Our next letter is a clinical letter from Nosheen Raza, Anjali Owens and co-authors at the University of Pennsylvania. They report on "ACTA1 Novel Likely Pathogenic Variant in a Family With Dilated Cardiomyopathy". In this case report, they describe that the discovery of a mutation in ACTA1 in a family with dilated cardiomyopathy, but no skeletal muscle symptoms. As a gene that is predominantly expressed in skeletal muscle, ACTA1 mutations have previously been associated with skeletal muscle myopathies and would not have been expected to cause cardiac symptoms in the absence of skeletal muscle dysfunction. However, sequencing suggests that this variant is a causal mutation in this family, highlighting the need to consider potential mechanisms for cardiac muscle specifics of highly expressed skeletal muscle genes. Our second clinical letter comes from Laura Zahavich, Seema Mital and co-authors from the Hospital for Sick Children in Ontario. They report a "Novel Association of a De Novo CALM2 Mutation With Long QT Syndrome and Hypertrophic Cardiomyopathy". They report finding mutation in the calcium transporter CALM2 gene in the child who presented with hypertrophic cardiomyopathy and ultimately died from sudden cardiac death. While this patient also had some variants of un-insignificance, the CALM2 gene is highly conserved and mutations are likely to be pathogenic. The CALM2 is not on all of the clinical genetic testing panels and in this case, whole-exome sequencing was required to identify a mutation. CALM2 have been described in other individuals and together with the findings reported here, there's compelling evidence for inclusion of CALM2 on cardiomyopathy in clinical testing panels. This issue also contains a perspective article from Michael Mackley, Elizabeth Ormondroyd and colleagues from the University of Oxford entitled "From Genotype to Phenotype: Clinical Assessment and Participant Perspective of a Secondary Genomic Finding Associated with Long QT Syndrome". They describe some of the challenges arising from more widespread genetic testing including how to deal with incidental findings. A larger number of people including apparently healthy individuals are receiving sequencing results that highlight potential disease-related mutations, but with varying penetrance and uncertain effects. This perspective paper highlights the issues through case study and discusses future directions and challenges in this rapidly growing area. Finally, we ride out this issue with an AHA scientific statement on "Cardiovascular Health in Turner Syndrome: A Scientific Statement From the American Heart Association" led by Michael Silberbach and Jolien Roos-Hesselink and a group of co-authors representing the American Heart Association Council on Cardiovascular Disease in the Young; Council on Genomic and Precision Medicine; and Council on Peripheral Vascular Disease. In this statement, they discuss the cardiovascular complications that commonly occur in girls and women Turner syndrome. Cardiovascular disease contributes significantly to premature death in individuals with Turner syndrome. Because of the unique nature of the cardiac presentations in Turner syndrome, better clinical guidelines are needed to improve diagnosis and treatment of [phonetic 00:17:26] ischemia in these individuals. This statement takes a first step to outline suggestions to improve clinical practice and highlights the work that still remains to be done to inform disease management. That rounds out the October issue of Circulation: Genomic and Precision Medicine. Thanks for listening! You can go online to ahajournals.org/journal/circgen to access the latest issue and browse previous issues. As a last reminder, AHA Sessions is approaching fast and I hope to see many of you in Chicago, November 10-12. This podcast was brought to you by Circulation: Genomic and Precision Medicine and the American Heart Association Council on Genomic and Precision Medicine. This program is Copyright American Heart Association, 2018.  

After a brief celebration of one season of UpZones under the books, Ian hears from Boundless founder and CEO Xiao Wang, a Chinese-American immigrant whose local company is tackling the information problems that plague nearly all immigration processes in the U.S. He discusses the feeling of seeing couples allowed to stay together after years of trying, and what his immigrant parents think of his risky career choices.

GFA200. Chinese investments are on the rise in the US tech sector, which bodes well for innovative global-minded startups. This week's episode, we have Dr. Xiao Wang to talk about the state of US China Investments. For full show notes, check out GlobalFromAsia.com/episode200. The post The State of US-China Cross-Border Investments with Dr Xiao Wang appeared first on Global From Asia.