Results 231 to 240 of about 64,170 (304)

A novel approach to the production of Δ<sup>9</sup>-THC and CBN certified reference materials. [PDF]

open access: yesAnal Bioanal Chem
de Carvalho LJ   +7 more
europepmc   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana   +9 more
wiley   +1 more source

Assessment and Optimization of 2T Perovskite/CIGS Tandems via Data-Driven and Optoelectronic Modelling. [PDF]

open access: yesNanomicro Lett
Giliberti G   +5 more
europepmc   +1 more source

Development of certified reference materials for accurate determination of tryptophan in fish meal and soybean meal

open access: green
Zheng Jia   +8 more
openalex   +1 more source

Short‐Term Outcomes of Robot‐Assisted Versus Laparoscopic Colectomy for Colon Cancer: A Propensity Score‐Matched Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study compared short‐term outcomes of robot‐assisted versus laparoscopic colectomy for colon cancer using 1:1 propensity score matching. Among 218 matched pairs, robot‐assisted colectomy was associated with reduced blood loss, fewer conversions to open surgery, lower overall complication rates, and shorter hospital stays, despite longer operative ...
Akira Inoue   +9 more
wiley   +1 more source

Development of a Lufenuron Certified Reference Material: Purity Assignment Using an Orthogonal Strategy and Uncertainty Evaluation

open access: green
Qianyun Sun   +9 more
openalex   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

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