Results 11 to 20 of about 13,877 (197)

Sudden anaerobization in Amphibacillus xylanus increases intracellular labile ferrous iron and inhibits cell growth

FEBS Open Bio, EarlyView.
Abruptly changing from aerobic to anaerobic conditions (sudden anaerobization) induced growth inhibition and a significant increase in intracellular labile ferrous iron in the aerotolerant anaerobe Amphibacillus xylanus. We found that free flavins mediate efficient electron transfer from NADH to ferric iron under anaerobic conditions, suggesting that ...
Shinya Kimata, Yoichi Sakai, Keisuke Tanaka, Etsuro Yoshimura, Ken Kitano, Morio Ishikawa, Tadahiro Nakamoto, Tsutomu Takayama, Hirofumi Inoue, Kaho Nomura, Tomonori Suzuki, Masataka Uchino, Akira Abe, Youichi Niimura   +13 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Age‐Dependent Prognostic Significance of Preoperative Transthyretin After Curative Resection for Stage I–III Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Preoperative malnutrition and systemic inflammation are established determinants of adverse outcomes in colorectal cancer (CRC). Transthyretin (TTR), a rapid‐turnover hepatic protein, reflects both nutritional and inflammatory status; however, its clinical utility may be influenced by age‐ and sex‐related variability.
Ayane Kawata, Yuji Miyamoto, Hiro Nakamura, Takahiko Akiyama, Kota Arima, Katsuhiro Ogawa, Yukiharu Hiyoshi, Masaaki Iwatsuki   +7 more
wiley   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Phase II Study of Posttransplant Cyclophosphamide‐Based Graft‐Versus‐Host Disease Prophylaxis After HLA‐Mismatched Unrelated Donor Reduced Intensity Transplantation: Results From the ACCESS Trial Expansion Cohort

American Journal of Hematology, EarlyView.
ABSTRACT Posttransplant cyclophosphamide (PTCy) to prevent graft‐versus‐host disease (GVHD) improves outcomes in recipients of HLA mismatched unrelated donor (MMUD) allogeneic hematopoietic cell transplantation (allo HCT). Outcomes of MMUD HCT using PTCy in patients requiring reduced intensity or non‐myeloablative conditioning (RIC/NMA) are not well ...
Brian C. Shaffer, Monzr M. Al Malki, Antonio Martin Jimenez Jimenez, Joseph Stanek, Stephanie Bo‐Subait, Brent R. Logan, Jianqun Kou, Erin Leckrone, Heather E. Stefanski, Stephen R. Spellman, Craig Malmberg, Medhat Askar, Rachel Cusatis, Dipenkumar Modi, Farhad Khimani, Mehdi Hamadani, Martin Maiers, Rachel Cook, Karen Ballen, Javier Bolaños‐Meade, Uttam Rao, Jordan Milner, Ramzi Abboud, Katarzyna Jamieson, George Carrum, Bhagirathbhai Dholaria, William J. Hogan, Ran Reshef, Satyajit Kosuri, Alison Loren, Karilyn Larkin, Sally Arai, Muna Qayed, Sung Won Choi, Larisa Broglie, Jeffery J. Auletta, Bronwen E. Shaw, Steven M. Devine, Mahasweta Gooptu   +38 more
wiley   +1 more source

Past and Future of Sustainability Indicator Research in Agribusiness: A Bibliometric and Forecasting Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT This study offers a forward‐looking assessment of sustainability indicator research in agribusiness by integrating bibliometric mapping with ARIMA‐based forecasting. Analysing 403 Scopus‐indexed articles, bibliographic‐coupling analysis identifies three contemporary thematic domains: Techno‐Managerial Sustainability, Systemic and ...
Marcelo Kratz Mendes, Olga Cam, Aurora Carneiro Zen, Roger de Bem Jaeger, Daniela Callegaro‐de‐Menezes, Juliana Matos de Meira   +5 more
wiley   +1 more source

Forecasting Airport Passenger Flows Using Mobile Network Data: Insights for Sustainable Mobility and Strategic Infrastructure Planning

Business Strategy and the Environment, EarlyView.
ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira, Carlos M. P. Sousa, Marco Esperança, Babak Taheri   +3 more
wiley   +1 more source

A perspective on parsimonious hybrid models for online use: Augmenting fundamental models with ARIMA disturbances

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley   +1 more source

Mitigating measurement error in misspecified small area models

Canadian Journal of Statistics, EarlyView.
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese, Serena Arima, Brunero Liseo, Alessio Pollice   +3 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source