Results 171 to 180 of about 1,352,188 (295)

Guidelines for the Anti‐Obesity Assays of Food Bioactives in Caenorhabditis elegans

AgriFood: Journal of Agricultural Products for Food, EarlyView.
This Guideline uses Caenorhabditis elegans as a model organism to systematically explain and summarize the research strategies and experimental methods for the anti‐obesity effects of food bioactives. ABSTRACT The obesity has become a global public health problem and is closely related to a variety of chronic diseases.
Rui Lu
wiley   +1 more source

Correction: Towards community-driven tuberculosis education: findings from a knowledge and engagement pilot survey in the rural community of Eastern Cape, South Africa. [PDF]

Front Public Health
Dlatu N, Tsuro U, Faye LM, Hosu MC, Sineke N, Apalata T.   +5 more
europepmc   +1 more source

Comparison of Pre‐ and Postoperative Gut Microbiota Diversity in Patients With Rectal Cancer Undergoing Stoma Creation and Closure

Annals of Gastroenterological Surgery, EarlyView.
We investigated the impact of temporary stoma creation and closure on gut microbiota diversity in rectal cancer patients. 16S rRNA sequencing revealed that microbial diversity significantly decreased postoperatively in the stoma group but remained stable in non‐stoma patients.
Yusuke Suzuki, Wataru Osumi, Kohei Taniguchi, Nahoko Kato‐Kogoe, Shoichi Sakaguchi, Shota Nakamura, Yoshiro Imai, Takashi Nakano, Takaaki Ueno, Sang‐Woong Lee   +9 more
wiley   +1 more source

Significance of Self‐Expandable Metallic Stent for Postoperative Intra‐Abdominal Infection After Pancreatoduodenectomy in Patients With a Hard Pancreas

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Self‐expandable metal stents (SEMS) are often used for preoperative biliary drainage in pancreatoduodenectomy (PD); however, their impact on postoperative intra‐abdominal infection (POAI) remains unclear. This study aimed to evaluate the clinical significance of SEMS in relation to POAI.
Kosuke Mori, Haruyoshi Tanaka, Nana Kimura, Mina Fukasawa, Ayaka Itoh, Yoshihiro Shirai, Kazuto Shibuya, Kentaro Nagaoka, Yoshihiro Yamamoto, Tsutomu Fujii   +9 more
wiley   +1 more source

Core Concepts for Early Childhood Microbiology Education. [PDF]

Microb Biotechnol
Di Capua CB, Ceccoli RD, Campero MB, Bortolotti A.   +3 more
europepmc   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Microbiological Water Quality of Impoundments: A Literature Review

, 1982
G.A. Burton
openalex   +1 more source

Chemical Microbiology [PDF]

ACS Infectious Diseases, 2020
openaire   +2 more sources

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

Advanced Intelligent Systems, EarlyView.
Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving patient‐to‐patient distance after dimension reduction by random projection and ensemble learning, RanBALL can facilitate the discovery of B‐ALL subtype‐specific ...
Lusheng Li, Hanyu Xiao, Xinchao Wu, Zhenya Tang, Joseph D. Khoury, Jieqiong Wang, Shibiao Wan   +6 more
wiley   +1 more source