Boston Applied Technologies (United States)

Translational Study of Using FOCM/TS Metabolites for Supporting Autism Spectrum Disorder Diagnosis

Halil Arici, Marie Causey, Soma Patra, Uwe Kruger et autres

us (code pays fourni par la source)

SciSchema.org: A Multidisciplinary Collection of Schemas for Structured Scientific Process Descriptions

Jennifer D'Souza, Sameer Sadruddin, Anisa Rula, Ana Bossler et autres

Scientific processes are often described in heterogeneous article discourse, with details needed for comparison, reproducibility, reuse, and automation dispersed across prose, tables, figures, protocols, and supplementary files. We present the first release of SciSchema.org, a multidisciplinary collection of 16 expert-annotated schemas spanning …

de, it, es, us, gb, in, ie, Nigéria, ca (code pays fourni par la source)

Fast and Accurate Foundation Models for Equivariant Machine-Learned Interatomic Potentials

Seán R. Kavanagh, Chuin Wei Tan, Menghang Wang, Marc L. Descoteaux et autres

Machine-learned interatomic potentials (MLIPs) have emerged as a transformative tool for computational materials science and chemistry, with universal potentials trained on large and diverse datasets now routinely deployed as 'foundation models' for downstream fine-tuning in targeted chemical spaces. Many scientific applications of …

gb, us, si (code pays fourni par la source)

A Machine Learning-Based Predictive Optimization Framework for Resource Allocation in Kubernetes

Devakumar Bendukuri, Anil Vijarnia, Vignesh Kumar Subramanian

us (code pays fourni par la source)

Optimization of Resource Allocation in Kubernetes-Based Machine Learning Systems Using Predictive Scaling

Anil Vijarnia, Krishna Gandhi, Pankaj Verma

us, in, nl (code pays fourni par la source)

High-performance training and inference for deep equivariant interatomic potentials

Chuin Wei Tan, Marc Descoteaux, Mit Kotak, Gabriel de Miranda Nascimento et autres

The NequIP framework is redesigned for scalable distributed training and PyTorch 2.0 compilation. AOT Inductor inference and optimized Allegro kernels accelerate molecular dynamics by factors of 5–18 on practical system sizes.

us (code pays fourni par la source)

In-situ assessment of a Multifunctional Compact System (MCS) in a low energy residential test facility: A comparative study

Loubna Ait Lahsen, Flavia Barone, Myriam Bahrar, Mohamed Elmankibi

Abstract. The assessment of thermal comfort (TC) and indoor air quality (IAQ) is closely linked to the systems integrated into buildings that ensure these conditions. These systems are major energy consumers and striking a balance between indoor air quality (IAQ), thermal comfort, …

fr, us (code pays fourni par la source)

A Machine Learning–Based Analysis of Wind and Solar Energy Generation Patterns Using Large-Scale Time Series Data

Nitish Pathak, Danish Ather, Abudhahir Buhari, Abhijeet Sudhakar et autres

in, my, ae, us (code pays fourni par la source)

Global Preferences and Determinant Variables of Caesarean Delivery Among Pregnant Women: A systematic review and meta-analysis

Mitiku Tefera, Lijalem Jemberu, Eyob Getachew, Getnet Alemu Andarge et autres

A caesarean section (CS) is a lifesaving procedure. With rising rates, women’s delivery choices have become a global concern. This review assesses global CS preference and determinants. A search of 6 databases was conducted (PubMed, Medline, EMBASE, CINAHL, Google Scholar and Maternity …

Éthiopie, us (code pays fourni par la source)

Solubility Challenges in Battery Electrolytes

David Reber, Zhiyu Wang, Kiana Amini, Yan Jing et autres

This review provides a foundational understanding of solubility to support researchers in navigating challenges in battery electrolyte development. We survey recent strategies aimed at controlling, and typically maximizing, solubility in electrochemical systems, with a focus on redox flow and metal-ion batteries. The …

ch, sg, ca, es, us, gb, dk, de (code pays fourni par la source)

Machine Learning-Driven Optimization of ETL Processes for Banking Liquidity Reporting

Sunil Netra, Chetan Sharma, Anil Vijarnia

us, gb (code pays fourni par la source)

CBD Disrupts Malme-3M Cell Metabolism via Glycolytic Shift and Redox Imbalance

Laura M. Shelton, Yiling Xu, Hans K. Ghayee, Alexander M. Buko

BACKGROUND: Accumulating evidence suggests that cannabidiol (CBD) exerts variable effects on cancer cells that influence cellular activity, including growth. While anecdotal evidence abounds, mechanistic studies have lagged. METHODS: Malme-3M cells derived from melanoma and less-aggressive BJ fibroblast cells were incubated with CBD. …

us (code pays fourni par la source)