Results 111 to 120 of about 6,896 (262)

Charting the Path to Increased Oil Palm Output in Ghana Beyond Area Expansion: Technology or Managerial Capacity — Which Leads the Way?

Agribusiness, EarlyView.
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor, Francis Tsiboe, Ayobami Adetoyinbo, Jacob Ankamah   +3 more
wiley   +1 more source

Rising Pancreatic Cancer Incidence in Young Japanese Women and Increasing Distal Pancreatectomy in Older Adults: A Nationwide Claims‐Based Analysis From 2016 to 2023

Annals of Gastroenterological Surgery, EarlyView.
This nationwide claims‐based study analyzed recent trends in pancreatic cancer incidence (2016–2021) and surgery (2016–2023) in Japan. The study revealed a rising incidence of pancreatic cancer, notably among young women, and an increasing use of distal pancreatectomy among older adults.
Masamitsu Kido, Ryo Morimura, Yusuke Yamamoto, Tomohiro Arita, Shingo Nakashima, Katsutoshi Shoda, Taisuke Imamura, Hidemasa Kubo, Kengo Yoshii, Iichiroh Onishi, Atsushi Shiozaki   +10 more
wiley   +1 more source

Age and Regional Trends in Groin Hernia Surgery in Japan: An Analysis of Laparoscopic Repair, Outpatient Surgery, and Manual Reduction Using National Database Open Data

Annals of Gastroenterological Surgery, EarlyView.
Using National Database open data from 2014 to 2023, this nationwide study visualizes age‐, sex‐, and region‐specific trends in groin hernia surgery in Japan. Laparoscopic surgery, outpatient surgery, and manual reduction were analyzed to estimate lifetime surgical burden and patterns of emergency‐related healthcare utilization at the population level.
Masanori Sato, Kyosuke Miyazaki, Tatsuya Tazaki, Itsuro Nagae, Taketo Matsubara, Saseem Poudel, Tsuyoshi Takagi, Hidetoshi Wada   +7 more
wiley   +1 more source

Prevalence of MSI‐H/dMMR Colorectal Cancer in Japan: Data From the Clinical Study Group of the University of Osaka‐Colorectal Registry

Annals of Gastroenterological Surgery, EarlyView.
Using a multicenter Japanese colorectal cancer cohort from 25 institutions, we analyzed 1464 patients across all disease stages and tumor locations to determine the prevalence and clinicopathological features of MSI‐H/dMMR colorectal cancer. MSI‐H/dMMR tumors accounted for 9.4% of cases overall, were present in 22% of right‐sided colon cancers, and ...
Yoshihiro Morimoto, Mamoru Uemura, Yoshinori Kagawa, Hidekazu Takahashi, Masayuki Hiraki, Yozo Suzuki, Shinichi Yoshioka, Mitsuyoshi Tei, Shu Okamura, Yukako Mokutani, Atsushi Naito, Shinji Tokuyama, Takamichi Komori, Akinobu Yasuyama, Genta Sawada, Yujiro Fujie, Shinya Yamashita, Naotsugu Haraguchi, Yusuke Matsuura, Chu Matsuda, Yoshinao Chinen, Tatsushi Shingai, Katsuki Danno, Nobuo Tanaka, Kazuya Sakata, Kohei Murata, Yuichiro Doki, Hidetoshi Eguchi   +27 more
wiley   +1 more source

Flow characteristics and regime transitions in fluidization systems of Group C+ particles

AIChE Journal, EarlyView.
Abstract Fine and ultrafine particles are attractive for fluidized bed reactors because their high surface area benefits catalytic processes, but their cohesive nature complicates regime characterization. Nanoparticle modulation improves the flowability of Group C powders, yet their bubbling to turbulent transition remains unclear.
Yue Song, Jiaying Wang, Xiaoyang Wei, Jesse Zhu   +3 more
wiley   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Enzymatic Encoding of Topology in an Intrinsically Disordered Single‐Chain Protein

Angewandte Chemie, EarlyView.
Enzymatic intramolecular cross‐linking enables topology control in intrinsically disordered proteins, yielding SCNPs with reproducible cavity architectures. Using β‐casein and microbial transglutaminase, sparse, sequence‐resolved constraints drive compact collapse without inducing secondary structure.
Joshua Johani, Kristin Eichelberger, Olga Guskova, Simbulele Charlotte Dunjwa, Hans Bolinsson, Anna‐Maria Börjesdotter, Lars Nilsson, Doris Jaros, Harald Rohm, Albena Lederer   +9 more
wiley   +2 more sources

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Propositional quantification in bimodal S5

, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source