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data science

2,617 papers

#artificial intelligence Preprint Sep 2026

Retrospective Distillation Attribution via Normalized Response Similarity

Auditing publicly released descendants of distilled models spanning diverse post-training objectives, SCOUT consistently identifies the distillation source and tracing teacher-associated *syntactic signatures* along training trajectories reveals that they emerge during distillation and persist through subsequent prefer...

Minwoo Jang, Jaechang Kim, Minhyeon Oh et al. · 0 citations
#artificial intelligence Preprint Sep 2026

What Does the Rank Buy? A Spectral and Distributional Analysis of Low-Rank Adaptation

The rank $r$ in LoRA is widely treated as a capacity control: a smaller rank is assumed to yield a simpler model that generalizes better. We show that, under hard per-factor norm budgets---the idealization of the weight decay and norm control used in practice---this intuition breaks down. The reason is structural: unde...

Babak Barazandeh · 0 citations
#data science Open access Sep 2026

The Effect of Leadership Training on Health Worker Attitudes towards Clients Attending Primary Health Centres in Benue State, Nigeria

ABSTRACTNegative attitudes and interpersonal misconduct among healthcare providers constitute a critical, modifiable structural barrier to primary healthcare utilisation across sub-Saharan Africa. The Leadership Development Program (LDP), developed by Management Sciences for Health (MSH), empowers frontline health team...

TT Bitto, GN Rimamnunra, IA Bako et al. · 0 citations
#data science Open access Sep 2026

The Effect of Leadership Training on Health Worker Attitudes towards Clients Attending Primary Health Centres in Benue State, Nigeria

ABSTRACTNegative attitudes and interpersonal misconduct among healthcare providers constitute a critical, modifiable structural barrier to primary healthcare utilisation across sub-Saharan Africa. The Leadership Development Program (LDP), developed by Management Sciences for Health (MSH), empowers frontline health team...

TT Bitto, GN Rimamnunra, IA Bako et al. · 0 citations
#data science Open access Oct 2026

The Effect of the Brainstorming Method on Creative Thinking Skills in Science and Social Studies Learning for Grade VI Students at SDN 1 Weru Lor

Creative thingking skills constitute one of the essential 21-st-century competencies that need to be developed from elementary school, yet science and social studies (IPAS) instruction in the field is stilldominated by lecture method, which positons students as passive listeners. This study aims to analyze the effect o...

Defania Sinda Cahyana · 0 citations
#data science Dec 2026

Exploring Landscape Visual Attraction and Consumption Conversion Mechanisms in Historic and Cultural Districts: A Perspective on the Experience Economy

Driven by the experience economy, historical and cultural districts around the world face an urgent need to transform from static preservation to dynamic consumption and cultural heritage synergy. However, in practice, most districts (such as Shangxiahang in Fuzhou) overemphasize macrocommercial planning, neglecting...

Qing-Mu Su, Mu-Ying Yao, Jia-Jun Liang et al. · 0 citations
#data science Open access Oct 2026

The Effect of Interdisciplinary Practices on Prospective Science Teachers' STEM Awareness and Thoughts

This study examined prospective science teachers’ STEM awareness and their thoughts on interdisciplinary practices implemented in an Interdisciplinary Science Teaching course. The study was conducted with 66 fourth-year prospective science teachers at a state university in Türkiye over a 14-week period. A mixed-methods...

Ayse Sert-Cibik, Duygu Yılmaz Ergül, M. F. Taşar · 0 citations
#data science Review Open access Oct 2026

Integrating Collaborative Digital Multimodal Composing in EFL Classrooms: A Systematic Review

To advance CDMC as an integral part of EFL teaching and bridge the research-practice divide, this review calls for systemic support through targeted teacher development, curriculum and assessment reform, and inclusive infrastructure planning in the field.

Nan Zhang, A. Asmawi · 0 citations
#data science Book Open access Oct 2026

PersonaBase: Computational Resources for Advancing the Research and Practice of Data-Driven Personas

PersonaBase, a repository of computational DDP resources that gathers tasks, datasets, metrics, and baselines, is presented and it is proposed that future work on DDP resources addresses needs by community building and learning from other computational sciences, while moving closer to full benchmarking solutions.

Joni O. Salminen, Danial Amin, Ilkka Kaate et al. · 0 citations
#data science Open access Sep 2026

github.com/broadinstitute/warp/sc1_create_basis_mt_from_vds

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations
#data science Open access Sep 2026

github.com/broadinstitute/warp/Glimpse2SVImputation

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations
#data science Open access Sep 2026

github.com/broadinstitute/warp/TestscANVI

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platfor...

broadinstitute · 0 citations

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Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

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