Results 161 to 170 of about 50,691 (223)

A characterisation of ordinal potential games. [PDF]

Norde, H.W., Voorneveld, M.
core   +1 more source

Bidirectional Causal Relationships Between Obesity and Executive Function in Children and Adolescents: A Genetic Instrumental Variable Analysis

Developmental Science, Volume 29, Issue 3, May 2026.
ABSTRACT This study examines the causal relationship between obesity and executive function (EF)—including cognitive flexibility, inhibitory control, and working memory—using genetic instrumental variable analysis. A bidirectional two‐stage least squares (2SLS) analysis was conducted in 406 children and adolescents.
Jia Zheng, Yanan Ma, Xuxiu Zhuang, Wenhan Jia, Xiao Tang, Enrui Dai, Yang Liu, Deliang Wen   +7 more
wiley   +1 more source

Neurodevelopmental disorders: assessing and training working memory. [PDF]

BMC Psychol
Ferreira P, David C, Costescu C, Vera L, Herrera G, Lopes S, Stilwell D, Ferreira A, Domingues D, Brito J, Campos J, Paiva AM, Simão AMV, Heldal I, Stefanut T, Rosan A, Trindade F.   +16 more
europepmc   +1 more source

Impacts of Extreme Events on Community Livelihoods: El Niño Effects and Management of Seaweed Farms in the South Coast of Kenya

Aquaculture, Fish and Fisheries, Volume 6, Issue 2, April 2026.
Seaweed farming affected by El Nino event, needs policy, data and value‐added documents ABSTRACT Seaweed farming is a vital economic activity for coastal communities in the Western Indian Ocean, with growing potential in food, bio‐stimulants, pharmaceuticals and environmental management. Some farmed species, such asEucheuma denticulatum and Kappaphycus
Mirera D. O., Holeh G. M., Kendi J., Maina G. W., Kawaka J., Mondesto I., Chebet M., Kwekwe L., Okemwa D., Magangi N., Odhiambo M., Mwangangi S. M., Ouma D., Nelson A. A., Considine E. M.   +14 more
wiley   +1 more source

Data-driven analysis of Armeo Spring performance across neurological disorders: implications for personalized upper limb neurorehabilitation. [PDF]

Front Robot AI
Lui M, Latella D, Chiricosta L, Botindari M, Quartarone A, Bonanno M, Calabrò RS.   +6 more
europepmc   +1 more source

Glial cytokine modulation improves sleep and circadian disruption in female SAA knock‐in mice of Alzheimer's‐related pathology

Alzheimer's &Dementia, Volume 22, Issue 4, April 2026.
Abstract INTRODUCTION Sleep and circadian disturbances are early Alzheimer's disease (AD) features, yet mechanisms linking amyloid pathology, neuroinflammation, and sex differences remain unclear. METHODS We longitudinally assessed sleep, circadian rhythms, and cognition in female and male hAPPSAA knock‐in and control mice from 2 to 19 months using ...
Teresa Macheda, Margaret R. Hawkins, Carrie E. Johnson, Madison G. Lapid, Haleigh R. Whitlock, Savannah M. Shepard, MaKayla F. Cox, Kelly N. Roberts, Leke Bytyqi, Heather M. Hash, Omar A Abou El‐Ezz, Mohammed Abou El‐Ezz, Katherina Kohler, Sridhar Sunderam, Bruce F. O'Hara, Linda J. Van Eldik, Michael P. Murphy, Marilyn J. Duncan, Adam D. Bachstetter   +18 more
wiley   +1 more source

Making measuring family dinner quality more meaningful: Rescaling the 'Family Dinner Index' for ease of assessment and interpretation. [PDF]

MethodsX
Skeer MR, Hajinazarian G, Sabelli RA, Folta SC, Sonneville KR, Eliasziw M.   +5 more
europepmc   +1 more source

Anchoring Bias in the Tradeoff Procedure Within Multi‐Attribute Value Theory

Journal of Behavioral Decision Making, Volume 39, Issue 2, April 2026.
ABSTRACT Eliciting the weights of attributes is a key step in multi‐attribute decision‐making methods. The weights usually represent the relative importance of the attributes or the tradeoffs among them in forming a decision. Various weight elicitation methods exist, each based on different assumptions and procedures.
Geqie Sun, Maarten Kroesen, Jafar Rezaei
wiley   +1 more source

The ADMA-NO-NOX2 axis and its association with leptomeningeal collateral impairment in acute ischemic stroke. [PDF]

Sci Rep
De Michele M, Risitano A, Iacobucci M, Amisano P, Berto I, Carnevale R, Cammisotto V, Pascariello A, Beccia M, Ciacciarelli A, Nicolini E, Toni D, Lorenzano S.   +12 more
europepmc   +1 more source

Insights From the National Survey Leveraging Machine Learning and SHAP to Identify and Predict Associated Factors of Malnutrition Among Bangladeshi Women

Food Science &Nutrition, Volume 14, Issue 4, April 2026.
The study reveals a clear dual burden of malnutrition among Bangladeshi women: underweight is concentrated among younger, poorer, less educated, rural women, while overweight/obesity is more prevalent among older, wealthier, urban, and educated women.
Tofayel Ahmed, Rehana Parvin, Tahira Mahbub, Rafayet Rahman Ridoy   +3 more
wiley   +1 more source