Results 141 to 150 of about 171,133,703 (288)

Differential Effect of Formality of Speech Style on Negation Selection in Korean Children and Adults. [PDF]

J Psycholinguist Res
Jung S, Kiaer J, Choi N.
europepmc   +1 more source

Laparoscopic Surgery Is Associated With Reduced Small Bowel Obstruction Risk After Colorectal Cancer Surgery: A Nationwide Cohort Study of 5458 Patients

Annals of Gastroenterological Surgery, EarlyView.
Abbreviated Abstract This nationwide retrospective cohort study of 5458 colorectal cancer surgeries across 32 Japanese institutions examined the effects of laparoscopic surgery, adhesion prevention materials (APMs), and stoma creation on the 5‐year risk of small bowel obstruction (SBO).
Takeshi Yamada, Fumihiko Fujita, Ken Eto, Kozo Kataoka, Norio Yukawa, Kiichi Sugimoto, Rai Shimoyama, Atsuko Fukazawa, Kensuke Kumamoto, Yuichi Takayama, Akira Komono, Akihisa Matsuda, Ryo Ohta, Hiromichi Sonoda, Koichi Okuya, Keisuke Ihara, Yasuyuki Yokoyama, Takuya Nishino, Yasuki Akiyama, Daisuke Ichikawa   +19 more
wiley   +1 more source

Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction. [PDF]

BMC Biol
Yan K, Lu S, Chen S, Wang Y, Shaytan AK, Li Z, Liu B.   +6 more
europepmc   +1 more source

Small Intestinal Bacterial Overgrowth Following Gastrointestinal Cancer Surgery: Current Evidence and Future Perspectives

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Small intestinal bacterial overgrowth (SIBO) has recently gained increasing attention as a potential cause of postoperative gastrointestinal symptoms following gastrointestinal cancer surgery. Surgical procedures can disrupt normal gastrointestinal physiology through anatomical reconstruction, impaired motility, reduced gastric acid secretion,
Toru Aoyama, Haruhiko Cho, Takaki Yoshikawa   +2 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Three-year-old Children Make Explicit Metacognitive Judgments - If Asked Appropriately. [PDF]

Dev Sci
Meyer MM, Proft M, Engelmann J, Rakoczy H.   +3 more
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Evaluating the cultural alignment of multilingual LLMs in typical Japanese workplace scenarios. [PDF]

PLoS One
Gao Z, Shimizu N, Fujita S, Peng S, Wakamiya S, Aramaki E.   +5 more
europepmc   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian, Lin Pang, Jixin Hou, Xiao Sun, James Jaraczewski, Xianyan Chen, Kenan Song, Xiaoming Zhai, Tianming Liu, Keke Tang, Xianqiao Wang   +10 more
wiley   +1 more source

AI-enhanced social media affordances and intercultural communication competence: engagement, identity integration, and English proficiency. [PDF]

Front Psychol
Ma R.
europepmc   +1 more source