Results 231 to 240 of about 983,648 (315)

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

Annals 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, Yujiro Nishizawa, Yoshinori Kagawa, Masahiro Hashimoto, Shinya Kato, Yoshihiro Morimoto, Taishi Hata, Makoto Fujii, Masaaki Motoori, Kazumasa Fujitani   +9 more
wiley   +1 more source

A Journey of Acculturation and Growth: An Autoethnography of an International Counseling Psychologist in Training. [PDF]

J Int Stud
Xie Q, Jiwani Z, Goldberg SB.
europepmc   +1 more source

The Linguistic Landscape and Minority languages

International Journal of Multilingualism, 2006
Cenoz, J., Gorter, D.
openaire   +2 more sources

Survival Outcomes of Gemcitabine–Cisplatin–S‐1 Versus Gemcitabine–Cisplatin in Unresectable Biliary Tract Cancer: A Multicenter Retrospective Study With a Focus on Conversion Surgery

Annals of Gastroenterological Surgery, EarlyView.
In this multicenter retrospective study conducted by the Biliary Tract Club, we compared survival outcomes between gemcitabine–cisplatin–S‐1 (GCS) and gemcitabine–cisplatin (GC) in patients with unresectable biliary tract cancer, with a particular focus on conversion surgery. GCS was associated with longer overall and progression‐free survival compared
Hisashi Kosaka, Masahiko Kinoshita, Satoshi Yasuda, Satoru Kakizaki, Rie Sugimoto, Jun Sakata, Kiyonori Yamai, Takeshi Hatanaka, Yusuke Yamamoto, Toshifumi Sato, Toru Ishikawa, Takanori Morikawa, Jun Hanaoka, Haruki Mori, Hidenori Toyoda, Tsuyoshi Sanuki, Misaki Yokoi, Hiroyuki Shibata, Koji Fukuda, Kazuhito Kawata, Koji Amaya, Takashi Ito, Masaaki Hidaka, Atsushi Naganuma, Keishi Sugimachi, Satoshi Toshiyama, Makoto Yamasaki, Masaki Kaibori   +27 more
wiley   +1 more source

Digital health literacy as mediator between language preference and telehealth use among Latinos in the United States. [PDF]

J Am Med Inform Assoc
Linares M, Rodriguez JA, Wisk LE, Bell DS, Brown A, Casillas A.   +5 more
europepmc   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

AIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim, Silabrata Pahari, Joseph Sang‐Il Kwon   +2 more
wiley   +1 more source

Enhancing lung cancer screening through 'saved by the scan': insights from a multipronged public service advertising campaign. [PDF]

BMC Public Health
Qidwai KA, Spiegelman LS, Ozair A, Bellur S, Khosla AA, Ordonez K, Mileti P, Aguiar DF, Hernandez B, Pagan SL, Cohen C, Batlle JC, Dylewski M, Bethel VD, Ahluwalia MS.   +14 more
europepmc   +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

Assessments of social vulnerability on central nervous system cancer disparities in the United States. [PDF]

Commun Med (Lond)
Fei-Zhang DJ, Lutfallah SC, Mensah J, Chelius DC, Ruff MW, Dixit K, Paludo J, Smith SS, Patel UA, D'Souza JN, Rastatter JC, Sheyn AM.   +11 more
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source