Results 141 to 150 of about 466,566 (229)

Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures. [PDF]

Entropy (Basel)
Cadirci MS.
europepmc   +1 more source

Mature Tertiary Lymphoid Structures Indicate Good Chemotherapy Response and Prognosis in Advanced Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
In advanced colorectal cancer, tumors with mature tertiary lymphoid structures (TLS) exhibited abundant infiltration of CD3‐ and CD8‐positive lymphocytes in both primary and metastatic sites, indicating an activated immune response. The presence of mature TLS was also associated with favorable chemotherapy sensitivity and improved prognosis.
Nobuhiro Hosoi, Chika Komine, Gendensuren Dorjkhorloo, Takuya Shiraishi, Takuhisa Okada, Akihiko Sano, Makoto Sakai, Takehiko Yokobori, Ken Shirabe, Hiroshi Saeki   +9 more
wiley   +1 more source

Beyond Bonferroni: new multiple contrast tests for time-to-event data under non-proportional hazards. [PDF]

Lifetime Data Anal
Dormuth I, Herrmann C, Konietschke F, Pauly M, Wirth M, Ditzhaus M.   +5 more
europepmc   +1 more source

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

Changes in self-reported alcohol consumption at high and low consumption in the wake of the COVID-19 pandemic: a test of the polarization hypothesis. [PDF]

Front Psychiatry
Tran A, Jiang H, Lange S, Štelemėkas M, Stumbrys D, Tamutienė I, Rehm J.   +6 more
europepmc   +1 more source

Differential Prognostic Impact of Prior Cholecystectomy Between Proximal and Distal Colorectal Cancer: A 12‐Year Retrospective Cohort Study of 3487 Consecutive Patients

Annals of Gastroenterological Surgery, EarlyView.
In this retrospective cohort of 3487 patients with CRC, history of CCY was associated with significantly worse prognosis in patients with proximal CRC but not in those with distal CRC. This differential prognostic impact showed a statistically significant interaction between tumor location and history of CCY and remained robust after PSM.
Masashi Tsunematsu, Koichiro Haruki, Kazuhiro Yanamoto, Takuo Takehana, Shunta Ishizaki, Mitsuru Yanagaki, Yoshihiro Shirai, Kenei Furukawa, Shinji Onda, Toru Ikegami   +9 more
wiley   +1 more source

A tutorial on Bayesian hypothesis testing of correlation coefficients using the BFpack-module in JASP. [PDF]

Behav Res Methods
Mulder J, Pfadt J, Wagenmakers EJ.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Association of Gene Expression Alterations with Aggressive Features in Papillary Thyroid Carcinomas Harboring Low Allele Frequency BRAF V600E Mutations. [PDF]

J Otolaryngol Head Neck Surg
Katz A, Lefebvre C, Bandargal S, Forest VI, Pusztaszeri MP, Payne RJ.   +5 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source