Results 91 to 100 of about 800,535 (301)

Measuring Subjective Wellbeing in Developing Countries. [PDF]

open access: yes, 2004
The paper explores the conceptual and methodological issues entailed in using subjective measures of well-being in developing countries. In the first part I define, situate and contrast subjective quality of life (QoL), subjective well-being (SWB), and ...
Camfield, Laura
core  

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

open access: yesAdvanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour   +3 more
wiley   +1 more source

Retrospective analysis of the impact of dietary counselling and nutritional assessment on patients undergoing maintenance haemodialysis

open access: yesCurrent Medicine Research and Practice
Background: Patients with chronic kidney disease (CKD) undergoing maintenance haemodialysis (MHD) face considerable nutritional challenges, exacerbate disease progression and affect their quality of life.
Vandana Verma   +4 more
doaj   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

Assessment of nutritional status of patients receiving chemotherapy: sample from European Gaza hospital

open access: yesBMC Cancer
Background Cancer treatment itself and particularly chemotherapy unavoidably affects host cells, often producing a variety of side effects, e.g., nausea, vomiting, diarrhea, and fever, and further decreases in appetite, physical activity, and body weight.
Samah E. EL-Najjar   +3 more
doaj   +1 more source

OUTCOME AND NUTRITIONAL ASSESSMENT OF CHRONIC LIVER DISEASE PATIENTS USING ANTHROPOMETRY AND SUBJECTIVE GLOBAL ASSESSMENT

open access: yesArquivos de Gastroenterologia, 2017
BACKGROUND: Protein-calorie malnutrition is common in chronic liver disease (CLD) but adequate clinical tools for nutritional assessment are not defined. OBJECTIVE: In CLD patients, it was aimed: 1. Characterize protein-calorie malnutrition; 2.
Gonçalo NUNES   +5 more
doaj   +1 more source

Full Reference Objective Quality Assessment for Reconstructed Background Images

open access: yes, 2018
With an increased interest in applications that require a clean background image, such as video surveillance, object tracking, street view imaging and location-based services on web-based maps, multiple algorithms have been developed to reconstruct a ...
Karam, Lina, Shrotre, Aditee
core   +1 more source

Ecologically‐Valid Emotion Signatures Enhance Mood Disorder Diagnostics

open access: yesAdvanced Science, EarlyView.
This study identifies ecologically‐valid Divergent Emotional Functional Networks (DEFN), derived from dynamic functional connectivity during naturalistic movie watching. The DEFN reliably enhances diagnostic accuracy for mood disorders, including major depressive and bipolar disorders, demonstrating strong reproducibility across demographic factors and
Shuyue Xu   +6 more
wiley   +1 more source

Nutritional screening through patient-generated subjective global assessment (PG-SGA) in gynecological cancer

open access: yesO Mundo da Saúde, 2022
Cancer is considered an important cause of morbidity and mortality, and is related to the impairment of nutritional status, which in turn directly affects clinical management and quality-of-life.
Emylle Thais Melo dos Santos   +5 more
doaj  

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

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