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data science

2,518 papers

#data science Oct 2026

Analysis and Mapping of Knowledge and Scientific Collaboration in Scientific Outputs in the Field of Takaful on the Web of Science Database from the Beginning to the Present

Purpose: Scientific outputs that explain, analyze, and interpret research findings are essential to the processes of knowledge production, dissemination, and expansion. By documenting and publishing research results, these scholarly works facilitate communication and interaction among researchers, promote scientific cr...

Mahnam Zamani Kalajahi, Shabnam Refoua · 0 citations
#data science Oct 2026

Mapping the Knowledge Structure of Science and Technology PolicyMaking Process Studies: A Scientometric Analysis of Trends, Influential Authors, and Thematic Structures in the Scopus

Purpose: This research aims to investigate the evolution and dynamics of scientific outputs related to science and technology policymaking processes by analyzing publications indexed in Scopus. The results will contribute to enhancing fundamental knowledge of the science and technology policymaking process and provide...

Fereshteh Tabarsa, Mohammad Hassanzadeh, Atefeh Sharif et al. · 0 citations
#data science Open access Oct 2026

Comparative Effectiveness Research in the Americas on Penetrating Brain Injury: The COMPAS-PBI Study Protocol.

BACKGROUND AND OBJECTIVES: Penetrating brain injury (PBI) is a highly lethal form of traumatic brain injury, with substantial mortality and marked differences across high-income countries and low- to middle-income countries. The aim of the Comparative Effectiveness Research in the Americas on Penetrating Brain Injury (...

Ronald Alvarado-Dyer, Ali Mansour, Faddi G Saleh Velez et al. · 0 citations
#data science Oct 2026

Concept analysis of nursing engineers

ObjectiveTo clarify the conceptual connotation and development path of nursing engineers,and to provide reference for the scientific training and professional development of nursing engineers.MethodsRelevant literature on nursing engineers was systematically searched in databases including CNKI,Wanfang Data,VIP Databas...

MO Lan, LU Yan, WU Fulei et al. · 0 citations
#data science Open access Oct 2026

NATURAL SCIENCE TODAY

NATURAL SCIENCE TODAY A Quarterly Peer-Reviewed International Journal ISSN: 0972-1908 Published By: Buddhist Centre for Action Research and Development Studies (BCARD) Journal Publication: 1 October 2026 Volume: 65 | Issue: 65 (April–June) | 2026 Published Articles Content: 1. Title: Recent Advances in Organocatalytic...

Prof. Ghanshyam, Dr. Sudhir Kumar · 0 citations
#data science Open access Oct 2026

NATURAL SCIENCE TODAY

NATURAL SCIENCE TODAY A Quarterly Peer-Reviewed International Journal ISSN: 0972-1908 Published By: Buddhist Centre for Action Research and Development Studies (BCARD) Journal Publication: 1 October 2026 Volume: 65 | Issue: 65 (April–June) | 2026 Published Articles Content: 1. Title: Recent Advances in Organocatalytic...

Prof. Ghanshyam, Dr. Sudhir Kumar · 0 citations
#data science Open access Oct 2026

Management of De Novo miN1 Prostate Cancer in the PSMA-PET Era.

BACKGROUND: Prostate-specific membrane antigen positron emission tomography (PSMA-PET) is reshaping nodal staging in prostate cancer by detecting regional lymph node metastases with greater accuracy than conventional imaging. This has created a new cohort of patients with N1M0 disease detectable only on advanced imagin...

Thomas McMaster, Caitlin Ying Ming Louey, Jordan Santucci et al. · 0 citations

The Role of Innovation and Technology in Scientometric Governance

Purpose: Traditional scientometric tools—such as citation counts, the h-index, journal impact factors, and other quantitative indicators—while useful, have limitations in addressing the complexities of contemporary knowledge networks and rapid scientific developments. These challenges include author name ambiguities, i...

Esmaeil Shirali · 0 citations

Intelligent Knowledge Management in Water Treatment: A Scientometric Analysis of Thematic Trends, Collaboration Networks, Research Gaps, and Future Research Priorities

Purpose: Knowledge management (KM) is recognized as a critical strategic framework that enables organizations to effectively leverage intellectual assets and enhance operational efficiency. In the water treatment industry, KM involves the collection, organization, sharing, and utilization of employees’ technical knowle...

Hadi Elhaei, Mansoor Koohi Rostami, Seyed Mohammad Ashrafi · 0 citations
#machine learning Review Aug 2026

The Exceedance Design Effect: Effective Sample Size for Thresholds under Clustering

Suppose we want a cutoff that 90% of a population falls below. We estimate it from a sample, and another sample would give a different cutoff and a different fraction below it. We ask how much that fraction varies when observations come in independent groups, such as pupils in classrooms or sentences in news articles....

A. Noonan · 0 citations
#machine learning Preprint Sep 2026

Why Adaptive Optimizers Underestimate Rare Tokens

In the softmax output layer, a rare token receives a small positive logit gradient on most steps and a much larger negative gradient on the few steps when it is the target. SGD simply adds these contributions. Coordinate-wise adaptive methods such as Adam, RMSProp, and sign descent instead divide each update by a runni...

Sangsidhya Kar · 0 citations

From tech blogs

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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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