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data science

2,316 papers

#artificial intelligence Preprint Open access Oct 2026

Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States

Spatio-temporal forecasting is a cornerstone of logistics, urban planning, and intelligent transportation systems. However, constrained by deployment costs and maintenance resources, sensor networks often lack comprehensive spatial coverage, rendering Forecast Unobserved Node States (FUNS) a critical yet formidable cha...

Shuhao Li, Weidong Yang, Changan Liu et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Outperformance Inverse Optimization: Learning Objective Functions that Outperform Agent Decisions

Inverse optimization estimates the weights of an objective function that explain observed decisions as optimal solutions, and is used in a variety of fields. For mixed-integer linear programs (MILPs), existing methods aim to reproduce the observations as optimal solutions, and thus learn compromise weights when the obs...

Akira Kitaoka · 0 citations
#data science Dataset Open access Oct 2026

Dog-human gene network colocalization links synaptic signalling and ubiquitination to compulsive disorders

Obsessive-compulsive disorder (OCD) is highly polygenic, and the largest genome-wide association study (GWAS) to date — 53,660 cases and 2,044,417 controls — identified only 30 loci, a small fraction of those expected to cause disease and too few to resolve the underlying biological pathways. Some dogs naturally develo...

Katarina Tengvall, Vista Sohrab, Matthew J. Christmas et al. · 0 citations
#data science Dataset Open access Oct 2026

Analysis pipeline and aggregate results for "Students' reflective journals in linear algebra: structural and contingent patterns across two cohorts"

This deposit contains the re-executable analysis pipeline and aggregate results for a two-cohort study of weekly reflective journals in an introductory linear algebra course. It accompanies a manuscript submitted to the International Journal of Mathematical Education in Science and Technology. The underlying corpus of...

Carlos Eduardo Rojas Bruna · 0 citations
#data science Dataset Open access Oct 2026

Data and script used in "A low-metallicity dwarf galaxy rapidly forming massive stars at the break of cosmic dawn", by Morishita et al., submitted to Science.

This folder consists of dataset and script used in the analysis presented in "A low-metallicity dwarf galaxy rapidly forming massive stars at the break of cosmic dawn", by Morishita et al., submitted to Science.

Takahiro Morishita · 0 citations
#data science Review Open access Oct 2026

Sentiment analysis in rural areas: a systematic review of applications and approaches

Rural depopulation and territorial imbalances are ongoing challenges that require innovative tools for understanding community needs and informing evidence-based policy. Sentiment Analysis (SA) has emerged as a promising methodology for extracting emotional information from large volumes of digital text data. However,...

Emilio Hernández-López, Laura Martínez-Carrasco, Margarita Brugarolas · 0 citations
#data science Open access Oct 2026

PENGARUH MODEL PEMBELAJARAN DISCOVERY LEARNING TERHADAP KETERAMPILAN PROSES SAINS PADA MATERI STRUKTUR BUMI DI KELAS V SDN GELAM 1 CANDI

This study aims to examine the effect of implementing the Discovery Learning model on fifth-grade students' Science Process Skills (SPS) concerning Earth's structure at SDN Gelam 1 Candi. The underlying issue was students' suboptimal science process skills stemming from conventional teacher-centered instructional pract...

Seila Arrizka, Novaria Lailatul Jannah · 0 citations
#data science Open access Oct 2026

PENGARUH MODEL PEMBELAJARAN KOLABORATIF BERBANTUAN MEDIA KAHOOT TERHADAP HASIL BELAJAR IPAS SISWA

This study was motivated by the low learning outcomes in Natural and Social Sciences (IPAS) among fourth-grade students at SD Negeri 173307 Sipultak, which were presumed to be influenced by teacher-centered instruction and the limited use of varied learning models and interactive instructional media. This study aimed t...

Sri Ikawati Hutauruk, Regina Sipayung, Irmina Pinem et al. · 0 citations
#data science Open access Oct 2026

PENGEMBANGAN MODUL AJAR IPAS BERBASIS PBL-STEM PADA MATERI ORGAN PERNAPASAN MANUSIA UNTUK SISWA KELAS V SD

This research is motivated by the gap between the demands of the Independent Curriculum which emphasizes innovative learning and the availability of PBL-STEM-based teaching tools at SDN 021 Sungai Kunjang. Learning conditions that are still dominated by conventional methods (teacher-centered) have an impact on the lack...

Bintang Simanullang, Erna Suhartini, Muhammad Nur Mannan et al. · 0 citations
#data science Review Oct 2026

Systematic review of pediatric cerebral proliferative angiopathy

OBJECTIVE Cerebral proliferative angiopathy (CPA) is a rare, low-flow, diffuse vascular malformation distinct from a classic cerebral nidal arteriovenous malformation. Its clinical course, imaging features, and optimal management in pediatric patients remain unclear, and existing evidence is limited to small case serie...

Vítor Nagai Yamaki, Anoushka Alwis, Samyami Sangeeta Chowdhury et al. · 0 citations
#data science Open access Oct 2026

Methods Hub: A Community-Driven, Interactive Platform for Open-Source Computational Tools and Tutorials

As computational methods become increasingly central to social science research, there is a growing demand for research software infrastructures that are sustainable, grounded in principles of open science, and embedded in the community. In response, we are introducing the Methods Hub as an open-source, community-drive...

Christina Viehmann, Johannes Kiesel, Arnim Bleier et al. · 0 citations
#data science Open access Nov 2026

Intrathecal Dexmedetomidine versus Fentanyl as Adjuvants to Hyperbaric Bupivacaine for Spinal Anaesthesia in Elective Gynaecological Procedures: A Double-blinded Randomised Clinical Trial

Intrathecal dexmedetomidine 5 µg, when added to hyperbaric bupivacaine, provided quicker establishment of spinal anaesthesia and longer postoperative analgesia than intrathecal fentanyl 25 µg in elective gynaecological surgery.

Rutuja Jadhav, P. Jamale, N. Kanase · 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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