Results 21 to 30 of about 147 (147)

Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?

Agribusiness, EarlyView.
ABSTRACT This study examines the relationship between GVC participation and agricultural value‐added growth in 43 countries over the period 1995–2022. In contrast to prior literature, we disaggregate the agricultural sector into four sub‐sectors namely crop cultivation, animal production, forestry and fishing.
Taner Turan, Halit Yanıkkaya, Hüseyin Alperen Özer   +2 more
wiley   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

The psychosocial toll of Dublin III on asylum seekers in the Netherlands

American Journal of Community Psychology, EarlyView.
Abstract The Dublin III Regulation determines which EU Member State is responsible for examining asylum claims, but its implementation carries significant consequences for those subjected to it. This study examines how Dublin III, as implemented in the Netherlands, affects asylum seekers' psychosocial wellbeing using Silove′s Adaptation and Development
Imen El Amouri
wiley   +1 more source

Border harm and affective injustice: The politics of anger at the Melilla border, Spain

American Journal of Community Psychology, EarlyView.
Abstract This article examines protests in a detention center in Melilla, Spain—a site where structural violence intersects with the everyday harms of confinement. Adopting a justice and dignity‐centered perspective, we analyze grassroots forms of resistance emerging at the border. The study focuses on the protests of Tunisian migrants and explores the
Corina Tulbure
wiley   +1 more source

Global Methane Budget 2000–2020 [PDF]

Earth System Science Data
Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. CH4 is the second most important human-influenced greenhouse gas in terms of climate forcing after carbon dioxide (CO2)
M. Saunois, A. Martinez, B. Poulter, Z. Zhang, Z. Zhang, P. A. Raymond, P. Regnier, J. G. Canadell, R. B. Jackson, P. K. Patra, P. K. Patra, P. Bousquet, P. Ciais, E. J. Dlugokencky, X. Lan, X. Lan, G. H. Allen, D. Bastviken, D. J. Beerling, D. A. Belikov, D. R. Blake, S. Castaldi, M. Crippa, B. R. Deemer, F. Dennison, G. Etiope, G. Etiope, N. Gedney, L. Höglund-Isaksson, M. A. Holgerson, P. O. Hopcroft, G. Hugelius, A. Ito, A. K. Jain, R. Janardanan, M. S. Johnson, T. Kleinen, P. B. Krummel, R. Lauerwald, T. Li, X. Liu, K. C. McDonald, J. R. Melton, J. Mühle, J. Müller, F. Murguia-Flores, Y. Niwa, Y. Niwa, S. Noce, S. Pan, R. J. Parker, C. Peng, C. Peng, M. Ramonet, W. J. Riley, G. Rocher-Ros, J. A. Rosentreter, M. Sasakawa, A. Segers, S. J. Smith, S. J. Smith, E. H. Stanley, J. Thanwerdas, J. Thanwerdas, H. Tian, A. Tsuruta, F. N. Tubiello, T. S. Weber, G. R. van der Werf, D. E. J. Worthy, Y. Xi, Y. Yoshida, W. Zhang, W. Zhang, B. Zheng, B. Zheng, Q. Zhu, Q. Zhu, Q. Zhuang   +78 more
doaj   +1 more source

Machine Learning to Predict Remission Between 6 and 24 Months in Rheumatoid Arthritis: Insights From JAK, an International Registry Collaboration

Arthritis &Rheumatology, EarlyView.
Objective To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin‐6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK‐pot collaboration ...
Zubeyir Salis, Denis Mongin, Denis Choquette, Louis Coupal, Catalin Codreanu, Florenzo Iannone, Roberto Caporali, Tore K. Kvien, Sella Provan, Ruth Fritsch‐Stork, Dan Nordström, Nina Trokovic, Karel Pavelka, Jakub Závada, Ana Rodrigues, Ziga Rotar, Prodromos Sidiropoulos, Irini Flouri, Céline Lamacchia, Michele Iudici, Delphine Courvoisier, Kim Lauper, Axel Finckh   +22 more
wiley   +1 more source

Do drugs approved via expedited approval pathways have therapeutic advantages? A systematic review and meta‐analysis

British Journal of Clinical Pharmacology, EarlyView.
Regulators use expedited approval pathways to speed market approval and patient access to promising new drugs. However, there is uncertainty about whether these pathways are successful in approving drugs with significant therapeutic advantages. This systematic review aims to examine the safety, effectiveness and cost‐effectiveness of drugs approved via
Ashleigh Hooimeyer, Eliza J. McEwin, Zhicheng Wang, Joel Lexchin, Barbara Mintzes   +4 more
wiley   +1 more source

Efficacy and safety of cannabinoids in the treatment of spasticity in multiple sclerosis: A systematic review of randomized clinical trials

British Journal of Clinical Pharmacology, EarlyView.
Aims This work aimed to evaluate the efficacy and safety of cannabinoids for the treatment of MS‐related spasticity. Methods Systematic searches were conducted in PubMed, EMBASE, and LILACS on 2 December 2025. Randomized controlled trials evaluating natural or synthetic cannabinoids for MS‐related spasticity were included.
Letícia Hamm‐Buiar, Daniela Gorski, Marcela Harumi Kagueiama, Astrid Wiens   +3 more
wiley   +1 more source

Entrepreneurial Initiative and Regional Development. Case Study of Gorj County (Romania) [PDF]

Human Geographies: Journal of Studies and Research in Human Geography, 2010
The entrepreneurial sector has hardly existed in Romania before 1989. Usually this was restricted to rural spaces, excluded from the cooperative system, and generally, it did not extend beyond a familial level.
Cristian Braghină , Cristian Tălângă , Daniela Zamfir, Andreea Loreta Cepoiu   +3 more
doaj  

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source