The Dynamic Zero-COVID Policy in China spanned three years and diverse emotional responses have been observed at different times. In this paper, we retrospectively analyzed public sentiments and perceptions of the policy, especially regarding how they evolved over time, and how they related to people's lived experiences. Through sentiment analysis of 2,358 collected Weibo posts, we identified four representative points, i.e., policy initialization, sharp sentiment change, lowest sentiment score, and policy termination, for an in-depth discourse analysis through the lens of appraisal theory. In the end, we reflected on the evolving public sentiments toward the Dynamic Zero-COVID Policy and proposed implications for effective epidemic prevention and control measures for future crises.

This paper investigates the causal impact of negatively and positively toned ChatGPT Artificial Intelligence (AI) discussions on US students' anticipated labor market outcomes. Our findings reveal students reduce their confidence regarding their future earnings prospects after exposure to AI debates, and this effect is more pronounced after reading discussion excerpts with a negative tone. Unlike STEM majors, students in Non-STEM fields show asymmetric and pessimistic belief changes, suggesting that they might feel more vulnerable to emerging AI technologies. Pessimistic belief updates regarding future earnings are also prevalent among non-male students, indicating widespread AI concerns among vulnerable student subgroups. Educators, administrators, and policymakers may regularly engage with students to address their concerns and enhance educational curricula to better prepare them for a future that AI will inevitably shape.

The use of ChatGPT among job applicants has grown in popularity amid their concerns about their own ability to create a resume that stands out in a competitive job market. In Japan, it is customary for students to begin job hunting long before graduation. The job-hunting process is arduous, and there is a stigma around failing to secure a job before graduation. One critical aspect of the application process is the completion of company-specific questionnaires known as "entry sheets" (ES), with students typically applying to several firms. These sheets require concise responses, typically within 150 to 400 characters, for each question.

Sriman, as he is also called, co-founded the company Perciv.ai Rens van Poppel explores his journey so far. When was this vision formed, and how did it come about? He says it was pivotal for building trust with partners, and consensus with effective communication. Because starting your own company comes with a lot of challenges.

If you've been at MIT long enough, you've probably heard grumblings about peer-reviewed journals that are slow or uncooperative. But those problems are trivial compared to the challenges faced by researchers in other parts of the world. Researchers in developing countries have to sift through lists of less familiar international journals that each have wildly different policies and review practices. That makes it more likely that papers will be sent back, which can delay publication times dramatically as they go back and forth with editors. Early-career researchers in particular are more likely to have their work sent back for corrections or fall victim to predatory journals that only care about collecting publication fees.

Compared to K-12, US institutions of higher education, particularly four-year universities, give students a high amount of elective course choice. This choice comes with unique challenges that can inhibit their learning path, such as the choice to overload on credit hours causing early undergraduate dropout among older students with prior vocational training and completed degrees [22]. Conversely, low enrollment levels have also been found to be associated with worse educational outcomes, potentially due to a lack of financial and academic support [5]. These findings, though seemingly contradictory, suggest that semester workload may play an important role in explaining the complicated story of student success in higher education. However, recent work has found that credit hours is not a suitable proxy for course workload, as it captures only 6% of the variance in student reported course load compared to 36% captured by LMS features [36]. In this paper, we introduce course load analytics (CLA) as a machine learning approach to producing metrics about course workload relevant to student course selection. This work is the first to predict course load at scale, generalizing to over 10,000 courses at a large public institution and going beyond time load considerations by incorporating more holistic measures such as mental effort and psychological stress. Our findings suggest that the discrepancy between anticipated course load (i.e., as calculated by credit hours) and actual course load (i.e., as estimated by CLA) may be a significant factor in program stop-out.

IT giant Capgemini is an umbrella brand that brings together many capabilities. There are over 52,000 engineers and scientists working for Capgemini Engineering in more than 30 countries and a wide variety of industries, including aviation, automobiles, railroads, communications, energy, life sciences, semiconductors, software & the internet, space & defence, and consumer goods. The company is currently looking to hire Tech Geeks or AI/ML experts. To know more details about it continue to read on. Job Profile: Tech Geeks or AI/ML experts Job Location: Bangalore Work Mode: Work from office (Only) Any Bond: Yes, on prorate basis -24 months from the effective date of employment Eligibility Criteria: Qualification: ME/MTech Specialisation: Circuit Branches Year of passing: 2021 & 2022 Percentage: 60% in masters, graduation, 12th/diploma & 10th Skill Sets: Good Knowledge of any AI/ML, Python, React JS/Node JS, DevOps Certification: Mandate to have any of AI/ML, Python, DevOps, React JS/Node JS Technical Skills Required: Good Knowledge of any AI/ML, Python, React JS/Node JS, DevOps Very good communication skills How to apply: Interested candidates can visit this link to apply!

Perimeter Medical Imaging AI, ("Perimeter" or the "Company") – a medical technology company driven to transform cancer surgery with ultra-high-resolution, real-time, advanced imaging tools to address high unmet medical needs – announces that the TSX Venture Exchange (TSX-V) has approved its application to graduate from a Tier 2 Issuer to a Tier 1 Issuer. Tier 1 is reserved for senior TSX-V companies with the most significant financial resources and those that have demonstrated a sustainable business model and operational track record. Jeremy Sobotta, Perimeter's Chief Executive Officer stated, "We are very pleased that the TSX-V has recognized Perimeter's growth since it became public in 2020. We were already recognized as part of the 2022 TSX Venture 50, and to us this graduation is the natural next step. We look forward to continuing to grow our business and providing value to our shareholders as a Tier 1 company."

Shortly after the first author started his tenure-track position at Bar-Ilan University, he published a few additional papers with his doctoral advisor. These papers were mostly "lingering" results from his Ph.D. or direct extensions thereof. He was very surprised that his department chair reprimanded him for this, claiming it could be harmful to his career. Surprisingly, until now, we were unable to find any support to that claim in the literature. The benefits and importance of mentoring have been long established and span a wide variety of vocational fields both in and outside of academia.2,7 In the academic realm, the supervision benefits are commonly mutual:6 The advisor extends her ability to conduct research by delegation, extends her influence network, and the advisee learns the important skills needed to conduct scientific research, receives various types of academic support, and so on.

Most top global companies have investments in Artificial Intelligence and the market for AI is expected to grow to $267 billion by 2027. Understanding AI and its applications is increasingly important. The University of Hong Kong (HKU) Business School MBA program offers a specialist AI module, which introduces students to the technology and its uses within various industries. With an understanding of cutting-edge tech topics like AI, HKU MBA students go on to land jobs in a variety of high-tech industries, many benefiting from Hong Kong's vibrant tech startup scene. HKU MBA alums, Aakriti Jain (class of 2020) and Geeseok Oh (class of 2019), used what they learned about AI from the MBA to secure exciting jobs in fintech.