Results 181 to 190 of about 60,615 (297)

Characteristics of Anal Fistula Cancer in Patients Who Underwent Surgery: A Nationwide Observational Study Using Diagnosis Procedure Combination Data

Annals of Gastroenterological Surgery, EarlyView.
The characteristics of patients with anal fistula cancer included a higher proportion of men, younger age, more smokers, and tumor‐related characteristics, including more advanced local progression. Surgical characteristics included a lower rate of minimally invasive surgery, a higher proportion of total pelvic exenterations, and longer postoperative ...
Nobuaki Hoshino, Hiromitsu Kinoshita, Kazutaka Obama, Kiyohide Fushimi, Susumu Kunisawa, Yuichi Imanaka   +5 more
wiley   +1 more source

The Archive is Full! On the Queer Life of Adam Gawron in the Twentieth Century

Teksty Drugie
The article analyzes the queer private archive of Adam Gawron, a person born in 1899 in one of the towns on the Radom–Dęblin railroad line. Gawron passed away at the age of ninety, leaving behind a collection of photographs and family documents. In 2021,
Joanna Ostrowska
doaj  

A response to Portman et al. (2025): USGS Bee Lab collaborative science and big data are essential for understanding bee biodiversity. [PDF]

Ann Entomol Soc Am
Cobb NS, Du Clos B, Kammerer M, Mathis CL, Rasmussen C, Russo L, Schlauch J, Tucker EM, Zarrillo T.   +8 more
europepmc   +1 more source

From continuous to interruptible distillation: Flexible electric heating column architecture with fast start‐up

AIChE Journal, EarlyView.
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley   +1 more source

Extending Specimens to Save Plant DNA: Structuring Department DNA Collections in Times of Biodiversity Loss. [PDF]

Ecol Evol
González-Toral C, Cires E.
europepmc   +1 more source

A practical electrodialysis model for accelerating system development

AIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman, Douglas Fankell, Jason C. Quinn, Kenneth F. Reardon   +3 more
wiley   +1 more source

Using BossDB Tools to Access, Visualize, and Share Volumetric Neuroscience Data. [PDF]

Curr Protoc
Martinez H, Guittari N, Gion T, Hider R, Johnson EC, Matelsky J, Tregoning N, Xenes D, Wester B.   +8 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Preliminary Screening for <i>Ophidiomyces ophidiicola</i> in Pet Snakes from Italy and Exploratory Evaluation of Droplet Digital PCR Assay. [PDF]

Microorganisms
Di Nicola MR, Sciuto S, Marini D, Colla L, Vanzo G, Carsana G, Scanarini E, Dell'Atti L, Milanese G, Gini MA, Palazzolo MC, Dorne JCM, Goria M, Colussi S, Acutis PL.   +14 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source