Results 91 to 100 of about 15,555 (213)

How Seriously Should We Take AI Welfare? Constraints From the Epistemology of Consciousness

Philosophy and Phenomenological Research, EarlyView.
ABSTRACT Some philosophers argue that near‐term artificial intelligence (AI) systems might soon be welfare subjects. We should take AI welfare seriously, they urge, because AI systems might soon have properties indicated by our best scientific theories of consciousness, and consciousness suffices for welfare subjectivity.
Preston Lennon
wiley   +1 more source

Moral Tolerance: The Ethics of Social Punishment in Cases of Moral Disagreement

Theoria, EarlyView.
ABSTRACT In many practical contemporary contexts, people need to make correct ethical judgements about how to respond to perceived wrongdoing—in particular, whether to punish it or tolerate it. This judgement can be challenging when the wrongdoer does not accept the allegation of wrongdoing at the level of moral principle, holding that the type of ...
Hugh Breakey, Graham Wood
wiley   +1 more source

Livelihood Heterogeneity and Adoption of Combine Harvesters Under Flood Risk: Evidence From the Wetland Areas of Bangladesh

Climate Resilience and Sustainability, Volume 5, Issue 2, December 2026.
Livelihood heterogeneity explains uneven combine harvester adoption in haor wetlands. PCA–cluster analysis identifies four farmer typologies shaping mechanization pathways. Adoption is highest among educated and networked land‐rich farmers, lowest among traditionalists.
Andrila Sarker Shama, Md. Taj Uddin, Nanda Dulal Kundu, Md. Touhedul Islam Tushar, Mahmuda Nasrin, Md. Monirul Islam   +5 more
wiley   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

The Plagiarist in the Machine? Generative AI and the Will to Fail

Future Humanities, Volume 4, Issue 2, November 2026.
ABSTRACT This paper argues that the real challenge posed by Large Language Models (LLMs) in Higher Education lies not in their potential for plagiarism, but in their creation of a new form of writing that is indistinguishable in the traditional essay.
Matthew J. Barnard, Keith Crome
wiley   +1 more source

Assessing the Impact of an Undergraduate Medical Student Volunteer Hospital Program: Active Mind Active Body

The Clinical Teacher, Volume 23, Issue 5, October 2026.
ABSTRACT Background Active Mind Active Body (AMAB) is a novel student‐led program designed to lessen cognitive and physical isolation in hospitalized patients by facilitating social and physical activities. It offers preclinical undergraduate medical students (UMS), who often have limited clinical exposure, structured encounters while engaging patients
Kareena Nanda, Jaslyn Rasmuson, Julian T. Lau, Pamela Mathura, Winnie W. Sia   +4 more
wiley   +1 more source

Consenso de diagnósticos, resultados e intervenções de enfermagem para pacientes com insuficiência cardíaca em domicílio Consenso de diagnósticos y resultados y las intervenciones de enfermería para pacientes con insuficiencia cardiaca en cuidado en el hogar Consensus on nursing diagnoses, interventions and outcomes for home care of patients with heart failure

Revista Gaúcha de Enfermagem, 2012
Estudo de consenso realizado entre seis enfermeiras especialistas da área de cardiologia, com o objetivo de selecionar diagnósticos, intervenções e resultados de enfermagem descritos pela NANDA Internacional (NANDA-I), Nursing Outcomes Classification ...
Karina Azzolin, Emiliane Nogueira de Souza, Karen Brasil Ruschel, Cláudia Motta Mussi, Amália de Fátima Lucena, Eneida Rejane Rabelo   +5 more
doaj  

Undetectable Hydroxyurea Levels in the Majority of Sickle Cell Disease Patients, Especially in Young Children

American Journal of Hematology, Volume 101, Issue 9, Page 2297-2310, September 2026.
ABSTRACT Hydroxyurea (HU) is the most widely prescribed disease‐modifying treatment in sickle cell disease (SCD), though treatment responses vary due to metabolism and adherence. We examined HU blood levels and treatment response in patients with homozygous sickle cell disease (HbSS).
Sigrid van der Veen, Bart J. Biemond, Marjon H. Cnossen, Pablo Bartolucci, Maria P. Boaro, Betzabel Cajiao Garcia, Raffaella Colombatti, M. D'Agnolo, Karin Fijnvandraat, Anna Collado Gimbert, Amira Idrizovic, Petros Kountouris, Mar Mañú‐Pereira, Elisabetta Mezzalira, Mariane de Montalembert, Erfan Nur, A. Pham Hung D' Alexandry D'Orengiani, Tiziana Sanavia, Saskia E. M. Schols, Marissa J. M. Traets, Minke A. E. Rab, Sara I. Reidel, Anita W. Rijneveld, Yosr Zaouali, Nanda M. Verhoeven‐Duif, Judith J. M. Jans, Eduard J. van Beers   +26 more
wiley   +1 more source

An Optimized Diagnostic Approach for Adults With Suspected Inherited Metabolic Disorders

Journal of Inherited Metabolic Disease, Volume 49, Issue 5, September 2026.
A multidisciplinary strategy that integrates deep phenotyping with expert genetic interpretation substantially increases the likelihood of reaching a diagnosis in adults suspected of having an IMD. ABSTRACT Inherited metabolic disorders (IMDs) arise from defects in metabolic pathways essential for normal biochemical function.
Machteld M. Oud, Elise A. Ferreira, Clara D. M. van Karnebeek, Robin Wijngaard, Nicole I. Wolf, Marc Engelen, Mareen Datema, Sacha Ferdinandusse, André B. P. van Kuilenburg, Laura Steinbusch, Saskia N. van der Crabben, Mirjam Langeveld, on behalf of the ZOEMBA Study Group   +12 more
wiley   +1 more source

Soluble protein analog selection engine (SPASE): An automated AI‐powered server to improve protein engineering workflows

Protein Science, Volume 35, Issue 9, September 2026.
Abstract The design of proteins with desired biophysical properties, such as high solubility and low aggregation propensity, is crucial for various biotechnological and biomedical applications. While deep learning‐based methods like ProteinMPNN have shown remarkable success in protein sequence design, their direct output may not always exhibit optimal ...
Sacha T. Larda, Alex Paré, Nicolas Doucet   +2 more
wiley   +1 more source