data science

HEL1OS on Aditya-L1 Mission: Operations, data processing and monitoring of Sun in Hard X-rays

LS-RJF for Inverse Thermal Homogenization: Identification of Material Parameters in Fiber-Reinforced Composites

Identifying the constituent thermal conductivities of fiber-reinforced composites from macroscopic measurements is a fundamental inverse problem in materials science, with direct applications in thermal management and non-destructive characterization. We present the first neural network-based framework for inverse ther...

The Influence Of Live Streaming Shopping And Influencer Marketing On Purchase Intention With Consumer Trust As An Intervening Variable Among Tiktok Shop Consumers In Pekanbaru City

The development of digital commerce through social media has transformed consumer behavior in obtaining information and making online purchasing decisions. TikTok Shop utilizes live streaming shopping and influencer marketing to increase consumer interaction and encourage purchase intention. In this context, consumer t...

Reproduction package for "Checking Kazakh–Russian Criminal Legislation: Explicit Rules, Cross-Lingual Similarity and a Blinded Expert Review

This repository contains the reproduction package (version 1.0.0) accompanying the manuscript "Checking Kazakh–Russian Criminal Legislation: Explicit Rules, Cross-Lingual Similarity and a Blinded Expert Review", prepared for Computers (MDPI). The package provides the source code, derived data, experimental configuratio...

NANO-ACUPUNCTURE AND PERIPHERAL NEURAL SIGNAL DECODING AT THE LIMIT STARLI | WHITE RAINBOW EPOCH | FLAGSHIP RESEARCH MONOGRAPH 05 33 × STARLI | Original Civilizational Interpretation and Prospective Scientific Architecture ABSTRACT / ZENODO DESCRIPTION What, precisely, can be learned about a bounded motor-intention task from peripheral neural information once muscle activation, movement timestamps, contact artifacts, common electrical references, and subject identity have been taken seriously? This prospective research monograph examines that question at the intersection of acupuncture-inspired microinterfaces, nonclinical electrophysiology, information theory, causal time alignment, and conservative machine-learning governance. Its central hypothesis is deliberately open to refutation: a new sensor or decoder is meaningful only if its incremental evidence survives blinded challenges and a strong, resource-matched conventional comparator. The scientific three-coupling of the work is Peripheral Neural Signals × Signal Decoding × Data-Leakage Governance. The measurement target is incremental task-related information, calibrated in bits under a predeclared task ontology, accompanied by a practical accounting of false actions, abstention, instrument integrity, and independent reproducibility. The starting candidate is I(Intent; EEG | EMG, t_move) = H(Intent | EMG, t_move) − H(Intent | EEG, EMG, t_move). Importantly, EEG is primarily a central scalp measurement; this equation does not itself establish a peripheral nerve origin. A genuine peripheral recording claim would require a distinct anatomy-aware signal channel, appropriate forward-model evidence, and controls that distinguish peripheral sources from ordinary muscle, skin, electronics, and movement artifacts. CIVILIZATIONAL THREE-COUPLING The White Rainbow Epoch brings three commitments into one research conversation: Continuity of Chinese Cultural Heritage × Exploration through Modern Science × Original Civilizational Interpretation of the White Rainbow Epoch.

NANO-ACUPUNCTURE AND PERIPHERAL NEURAL SIGNAL DECODING AT THE LIMITSTARLI | WHITE RAINBOW EPOCH | FLAGSHIP RESEARCH MONOGRAPH 0533 × STARLI | Original Civilizational Interpretation and Prospective Scientific Architecture ABSTRACT / ZENODO DESCRIPTION What, precisely, can be learned about a bounded motor-intention task...

Coronary Artery Disease among Patients Undergoing Valve Replacement Surgery: A Retrospective Study of Angiographic Profiles and Predictors at a Southern Indian Tertiary Care Centre

Introduction: Coronary Artery Disease (CAD) frequently co-exists with Valvular Heart Disease (VHD). In developing countries like India, the shifting epidemiology from rheumatic to degenerative VHD alters this association. Concomitant CAD drastically dictates surgical strategies, yet local angiographic profile data rema...

Types of Treatment and Early Clinical Outcomes in Breast Cancer Patients: A Retrospective Cohort Study

Introduction: Breast cancer is the most commonly diagnosed malignancy among women worldwide and remains a major contributor to cancer-related mortality, particularly in low- and middle-income countries. However, data describing stage distribution, treatment delivery, radiotherapy utilisation, and early clinical outcome...

Early Exposure to Artificial Intelligence in Medical Education: A Knowledge, Attitude and Practice Study among Preclinical Medical Students from Mangaluru, India

Introduction: Artificial Intelligence (AI) is the study of machines that learn from collected data and use human-like reasoning. AI applications are already used in healthcare, and there is a need to understand the need for AI training in the medical curriculum. Aim: To assess the Knowledge, Attitudes, and Practices (...

Clinical Profile of Echocardiographically Estimated Pulmonary Hypertension in Patients with Non Dialysis-dependent Chronic Kidney Disease Stages 3-5: A Cross-sectional Study

Introduction: Pulmonary Hypertension (PHTN) is increasingly recognised as a clinically significant complication of Chronic Kidney Disease (CKD), even before initiation of dialysis. However, the clinical profile, echocardiographic pulmonary pressure estimates, and biochemical correlates of PHTN in Non Dialysis-Dependent...

Histopathological Response to Neoadjuvant Chemotherapy Assessed Using the Huvos Grading System and its Correlation with Pretreatment Clinicopathological Variables in Osteosarcoma: A Cohort Study from North East India

Introduction: Osteosarcoma is the most common primary bone malignancy affecting children and young adults. Neoadjuvant Chemotherapy (NACT) followed by surgery is the current modality of treatment for osteosarcoma. Histological evaluation of extent of tumour necrosis on resection is a well-established prognostic indicat...

Penerapan Media Edukatif Gunung Meletus dan Ular Tangga dalam Pembelajaran IPAS dan Matematika pada Peserta Didik Kelas II dan III SD Negeri Mengok 2 Bondowoso

This community service activity aimed to enhance students' learning motivation and conceptual understanding at SD Negeri Mengok 2 Bondowoso by utilizing a volcanic eruption simulation for Natural and Social Sciences (IPAS) lessons and an educational snakes and ladders game for mathematics lessons. The activity employed...

WhatIf-Bench: Benchmarking Intervention-Aware Time Series Forecasting

This work introduces WhatIf-Bench, a benchmark measuring how well forecasters use covariates to forecast a target's response to future events, and reveals generalization to Novel futures as the core challenge, and offers a testbed toward arbitrary scenario analysis.