Results 151 to 160 of about 71,204 (266)

How culturally wise psychological interventions can help reduce poverty. [PDF]

Proc Natl Acad Sci U S A
Thomas CC, Premand P, Bossuroy T, Sambo SA, Markus HR, Walton GM.   +5 more
europepmc   +1 more source

Predicting the Efficacy of Adjuvant Chemotherapy Using Immuno‐Nutritional and Inflammatory Markers in Elderly Patients With Stage III Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
This study aimed to determine whether immuno‐nutritional and inflammatory markers could serve as predictors of the outcomes of postoperative adjuvant chemotherapy for stage III colorectal cancer in elderly patients. Postoperative lymphocyte‐to‐monocyte ratio and postoperative C‐reactive protein‐to‐albumin ratio accurately predicted the efficacy of ...
Tomoya Tago, Yasuyuki Takamizawa, Takeharu Kato, Hiroshi Nagata, Konosuke Moritani, Shunsuke Tsukamoto, Yukihide Kanemitsu   +6 more
wiley   +1 more source

Importance of individual hemodynamic thresholds during exercise (Hem-TRex): relationship with blood pressure. [PDF]

J Hum Hypertens
Spahiu F, Hagemann M, Ottlik M, Lampkemeyer M, Pugh CJA, Schultz MG, Stöhr EJ.   +6 more
europepmc   +1 more source

Asking the 5 W's for designing next‐generation bioprocessing

AIChE Journal, EarlyView.
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook, Karoline Maria Vieira Nogueira, Raj Sukumar, Jenna Miller, Hal S. Alper   +4 more
wiley   +1 more source

Multiagent First-Person Perspective Analysis for Leadership Assessment in Pediatric Emergency Simulations: A Feasibility Study. [PDF]

Crit Care Explor
Nozawa H, Kunikata A, Sakai Y, Ouyang L, Furuta R, Sato Y, Matsui H.   +6 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Self-rated health, socio-economic status and post-traumatic stress disorder among couples from refugee backgrounds: Findings from the building a new life in Australia study. [PDF]

Glob Ment Health (Camb)
Nguyen TP, Rioseco P, Terhaag S, Slewa-Younan S.   +3 more
europepmc   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

The Impact of Advertising Image Types on Consumer Purchasing Behavior of Fresh Agricultural Products. [PDF]

Foods
Huang F, Gu Y, Bai Z, Dong Y.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source