Results 181 to 190 of about 155,620 (242)

Impact of Prophylactic Cefepime on Surgical Site Infection and Severe Morbidity in Patients Who Underwent Pancreaticoduodenectomy With Preoperative Biliary Drainage

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Although prophylactic broad‐spectrum antibiotics can reduce postoperative complications after pancreaticoduodenectomy (PD), the optimal regimen remains uncertain. This study evaluated the impact of prophylactic cefepime (CFPM) on surgical site infection (SSI) and severe morbidity after PD with preoperative biliary drainage.
Genki Watanabe, Akihiro Murata, Yu Kasamatsu, Atsushi Ishihara, Daisuke Nagashima, Tetsuzo Tashima, Shintaro Kodai, Akishige Kanazawa, Sadatoshi Shimizu   +8 more
wiley   +1 more source

Effect of Broad‐Spectrum Antibiotic Prophylaxis on Post‐Pancreatoduodenectomy Infectious Complications: Nationwide Inpatient Database Study in Japan

Annals of Gastroenterological Surgery, EarlyView.
Using a nationwide Japanese inpatient database, we evaluated whether broad‐spectrum antibiotic prophylaxis improves postoperative outcomes after pancreatoduodenectomy compared with narrow‐spectrum antibiotics. In propensity score–weighted analyses of 45 099 patients, broad‐spectrum prophylaxis was associated with significantly lower rates of intra ...
Hiroki Kitagawa, Shotaro Aso, Yuki Hirano, Kenichiro Uemura, Keita Kouzu, Satoru Matsuda, Hiroki Matsui, Kiyohide Fushimi, Junichi Sasaki, Yuko Kitagawa, Hideo Yasunaga   +10 more
wiley   +1 more source

Risks and Benefits of Feeding Enterostomy Creation During Minimally Invasive Esophagectomy: A Propensity‐Weighted Analysis Using the Japanese National Clinical Database

Annals of Gastroenterological Surgery, EarlyView.
Feeding enterostomy during MIE was evaluated in 19 054 patients from the Japanese NCD using propensity weighting. Enterostomy was associated with higher reoperation and respiratory complications, but lower delayed gastric emptying and deep vein thrombosis, with no significant difference in overall bowel obstruction.
Eisuke Booka, Shinya Hirakawa, Hisateru Tachimori, Koji Tanaka, Hideki Ueno, Yasue Kimura, Ken Shirabe, Hiroya Takeuchi   +7 more
wiley   +1 more source

Potential Survival Benefit of Neoadjuvant Docetaxel, Cisplatin and 5‐Fluorouracil Therapy in Patients With Esophageal Squamous Cell Carcinoma With Multiple Lymph Node Metastases: A Single‐Institute Propensity Score Analysis

Annals of Gastroenterological Surgery, EarlyView.
Although neoadjuvant chemotherapy with fluorouracil, cisplatin, and docetaxel (NAC‐DCF) is the current standard neoadjuvant regimen for esophageal squamous cell carcinoma, its substantial toxicity underscores the need to identify patients who derive the greatest benefit.
Eiji Higaki, Tetsuya Abe, Hironori Fujieda, Shigenori Kadowaki, Tsutomu Tanaka, Masahiro Tajika, Koji Komori, Seiji Ito, Isao Oze, Kei Muro   +9 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE 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, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +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