What employers need to know about maternity leave obligations: Part 1
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Assessing the economic impact of obesity and overweight on employers: identifying opportunities to improve work force health and well-being
Obesity is a major public health issue, significantly affecting national and individual health and economic well-being. This study quantifies the economic impact of excess body weight on employers and employees in 2023, offering insights for obesity prevention and treatment.
Probing out-of-distribution generalization in machine learning for materials
Scientific machine learning (ML) aims to develop generalizable models, yet assessments of generalizability often rely on heuristics. Here, we demonstrate in the materials science setting that heuristic evaluations lead to biased conclusions of ML generalizability and benefits of neural scaling, through evaluations of out-of-distribution (OOD) tasks involving unseen chemistry or structural symmetries. Surprisingly, many tasks demonstrate good performance across models, including boosted trees. However, analysis of the materials representation space shows that most test data reside within regions well-covered by training data, while poorly-performing tasks involve data outside the training domain. For these challenging tasks, increasing training size or time yields limited or adverse effects, contrary to traditional neural scaling trends. Our findings highlight that most OOD tests reflect interpolation, not true extrapolation, leading to overestimations of generalizability and scaling benefits. This emphasizes the need for rigorously challenging OOD benchmarks.
Is tuna ecolabeling causing fishers more harm than good?
Nearly 70,000 fishing crew are currently at sea catching the ecolabeled tuna in your sandwich or sushi. Tuna fishing on the High Seas is remote, making it difficult to detect forced labour and important to look into the welfare of fishers on vessels fishing for ecolabeled tuna. The Marine Stewardship Council (MSC) ecolabel says it is keeping forced labour out of the certified supply chain and that buyers choosing certified tuna significantly reduce their exposure. To determine how this is achieved, an analysis was performed of the primary data published by the MSC at https://fisheries.msc.org for the 3327 tuna vessels listed in its program. The data show that a majority of tuna vessel owners (1970 fishing employers) are participating anonymously. Their involvement in forced labour is unknown, and vessel conditions are untraceable for 74% of the tuna catches reported by certifiers. A majority of MSC’s tuna clients (about 4% fishing entities) refuted forced labour on behalf of 53% of tuna fishers in a template that MSC provides and protects with a disclaimer. Yet, on some of the vessels, tuna fishers have recently reported forced labour. Content analysis showed the information provided by MSC’s tuna clients overall deflects (rather than accepts) accountability for human rights and adverse effects, such as debt bondage. These findings matter to fishers’ welfare because the MSC has reported that its program encompasses 59% of the world’s tuna, making its assurances about lower risks in certified tuna influential in the sector, with potential to undermine criminal and civil enforcement.
Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms
The rapid development of international education in China highlights the growing importance of employment analysis in Teaching Chinese to Speakers of Other Languages (TCSOL). This study explores the enterprise demands for TCSOL professionals using text mining techniques to analyze recruitment data collected from four major platforms: Boss Zhipin, Zhaopin.com, 51job.com, and Liepin.com. Combining descriptive statistics, LDA topic modeling, BERT-BiLSTM-CRF-based named entity recognition, and co-occurrence network analysis were used. Results show that there is a high demand for TCSOL professionals, especially for small-scale enterprises located in first-tier cities such as Beijing, Shanghai, Guangzhou, and Shenzhen. Employers tend to favor candidates with at least a bachelor’s degree and 1–3 years of work experience. The topic model highlighted three central themes in job descriptions, emphasizing a shift toward a more diverse skill set. Named entity recognition identified essential attributes such as “communication ability”, “teaching experience”, “bachelor’s degree or above” and “responsibility” as core recruitment requirements. The co-occurrence network analysis revealed the importance of “teaching” and “priority” as core skill nodes. Time series analysis showed seasonal fluctuations in recruitment demand, peaking during spring recruitment and graduation periods. A hierarchical model of talent demand and development in TCSOL is proposed, integrating the perspectives of employers, job seekers, educators, and policymakers. This study provides valuable insights for aspiring TCSOL professionals, offering guidance to better align talent training with market needs and improve employment prospects.
CITRINO: phase 1 dose escalation study of anti-LAG-3 antibody encelimab alone or in combination with anti-PD-1 dostarlimab in patients with advanced/metastatic solid tumours
Dual programmed cell death protein (ligand)-1 (PD-[L]1) and lymphocyte-activation gene-3 (LAG-3) blockade has demonstrated improved anti-tumour response in some advanced solid tumours. CITRINO, a two-part, Phase 1 dose-escalation study, evaluated encelimab (TSR-033; novel anti-LAG-3) monotherapy and in combination in patients with advanced/metastatic solid tumours.
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