Results 101 to 110 of about 330,545 (248)

Surgical Outcomes and Recurrence Management in Borderline Resectable Hepatocellular Carcinoma: Implications for Multidisciplinary Strategies

Annals of Gastroenterological Surgery, EarlyView.
Multivariate analysis identified that up‐to‐7 out (p < 0.001), lymph node metastasis (p < 0.001), and non‐anatomical resection (p = 0.02) were independent predictors of cancer recurrence, while older age (p = 0.01), Child‐Pugh B (p < 0.001), up‐to‐7 out (p = 0.01), macrovascular invasion (p = 0.01), and lymph node metastasis (p < 0.001) were ...
Koichiro Haruki, Kenei Furukawa, Munetoshi Akaoka, Yuto Yamahata, Shinji Onda, Yoshihiro Shirai, Masashi Tsunematsu, Tomohiko Taniai, Michinori Matsumoto, Toru Ikegami   +9 more
wiley   +1 more source

Semi-Supervised Learning for Intrusion Detection in Large Computer Networks

Applied Sciences
In an increasingly interconnected world, securing large networks against cyber-threats has become paramount as cyberattacks become more rampant, difficult, and expensive to remedy.
Brandon Williams, Lijun Qian
doaj   +1 more source

Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector

Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Seeds of change: The impact of Ethiopia's direct seed marketing approach on smallholders' seed purchases and productivity

American Journal of Agricultural Economics, EarlyView.
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen, Gashaw T. Abate, Seid Yimam, Rui Benfica, David J. Spielman, Frank Place   +5 more
wiley   +1 more source

Credit where credit is overdue [PDF]

Nature Biotechnology, 2009
openaire   +2 more sources

Credit where credit's due [PDF]

TNOA Journal of Ophthalmic Science and Research, 2019
openaire   +3 more sources

Redistributive land reforms, agricultural productivity, and structural change: New cross‐national evidence

American Journal of Agricultural Economics, EarlyView.
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra, Abdulaziz B. Shifa, Lan Anh Tong, Mehmet A. Ulubasoglu   +3 more
wiley   +1 more source

The role of Research‐Practice Ambassadors in strengthening socially just and equitable partnership processes

American Journal of Community Psychology, EarlyView.
Abstract Research‐Practice Partnerships seek to close the research‐practice gap through developing collaborative, authentic partnerships between researchers and community members. Our team has leveraged Research‐Practice Ambassadors to support socially just and equitable partnership processes in schools.
Danielle R. Hatchimonji, Lauren McNeela, Zumana Noor, Melissa Stoffers, Tia N. Barnes, Kira Branch, Danika Perry, Amanda Parks, Mariam Berthe   +8 more
wiley   +1 more source