Results 151 to 160 of about 618,391 (283)

Perioperative and Oncological Outcomes of Colorectal Cancer Surgery in Obese Patients: A Multicenter Retrospective Study

Annals of Gastroenterological Surgery, EarlyView.
The prognostic value of the log odds of positive lymph nodes (LODDS) across BMI categories was investigated in patients undergoing colorectal cancer resection. The exploratory evidence demonstrates that LODDS serves as a strong prognostic marker, and its adverse effect may be more pronounced in patients with higher BMI.
Kazuhiro Taguchi, Manabu Shimomura, Wataru Shimizu, Satoshi Ikeda, Masanori Yoshimitsu, Mohei Kouyama, Masahiro Nakahara, Hironori Kobayashi, Masatoshi Kochi, Yosuke Shimizu, Daisuke Sumitani, Shoichiro Mukai, Yuji Takakura, Yasuyo Ishizaki, Shinya Kodama, Masahiko Fujimori, Hiroshi Okuda, Takuya Yano, Tomoaki Bekki, Atsuhiro Watanabe, Saki Sato, Toshiyuki Moriuchi, Shohei Shiozaki, Kazuki Matsubara, Mizuki Yamaguchi, Tomohiro Adachi, Sho Ishikawa, Hideki Ohdan   +27 more
wiley   +1 more source

Slot fidelity and ligation-dependent tribology in personalized brackets made by casting versus selective laser melting: an in vitro study. [PDF]

Sci Rep
Nguyen VA, Tran MN, Pham NTM, Ha TBN, Hoang V, Vuong TQT.   +5 more
europepmc   +1 more source

Transient modeling of extraction columns: Parameter estimation, uncertainty analysis, and operation optimization

AIChE Journal, EarlyView.
Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag, Jannik Dohmen, Andreas Jupke   +2 more
wiley   +1 more source

Debonding of the orthodontic brackets; is diode laser a safer method? Experimental invitro study. [PDF]

BMC Oral Health
Salem EM, Khattab SM.
europepmc   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Evaluation of Bracket Positioning; A Customized System Versus the Conventional Method. [PDF]

Turk J Orthod
Sucu K, Özer M.
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

A full belly counsels well: More stabilisation with more responsibility. [PDF]

PLoS One
Sheng X.
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience

Advanced Intelligent Systems, EarlyView.
An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis, Philip R. LeDuc, Warren C. Ruder   +2 more
wiley   +1 more source