№ files_lp_4_process_2_72972
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Empirical research article analyzing heterogeneous livelihood pathways of Rwandan households participating in a cash transfer graduation programme, highlighting factors affecting sustainable outcomes and resilience post-programme.
Year:
2023
Region / Country:
Rwanda
Topic:
Social protection and livelihood trajectories
Document type:
Research paper
Institution / Organization:
Institute of Development Studies, University of Sussex; University of Cambridge
Authors:
Rachel Sabates-Wheeler, Ricardo Sabates, Stephen Devereux
Funder:
Concern Worldwide
Keywords:
social protection, heterogeneity, livelihoods, graduation, poverty
Target population:
Programme participants in Rwanda
Data source:
Panel survey from NGO-implemented graduation programme
Period covered:
During and post-programme implementation
Key findings:
Household characteristics, location, shock type, and resource complementarities influence livelihood trajectories
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Note:
Year
Organization:
Red Cross Red Crescent
Document Type:
Questionnaire / Survey Template
Target Audience:
Community members, beneficiaries and non-beneficiaries
Type of FGD:
Beneficiaries, Community representatives, Traders
Topics:
Programme perception, Targeting and coverage, Cash use, Impacts/effects of the programme
Type:
Supplemental statistical tables
Methodology:
Hierarchical Linear Modeling (HLM)
Statistical Models:
Linear and quadratic growth models
Level 1 Variables:
Intercept, Time, Time × Time
Level 2 Variables:
Mothers’ BDI, Sex, Acceptance, Psychological Control, Firm Control
Outcome Variables:
Sad Mood, Anhedonia, Irritability, Sleep Problems, Fatigue, Appetite/Weight Changes, Psychomotor Disturbance, Concentration/Indecision, Low Self-Esteem/Guilt, Suicidal Ideation
Population:
Youth beginning in grade 6
Maternal Measure:
Beck Depression Inventory (BDI)
Sex Coding:
−.5 = boys, .5 = girls
Multiple Testing Correction:
Benjamini–Hochberg procedure
Reported Statistics:
Parameter estimates, standard errors, p-values, variance estimates, deviance statistics
Time Coding:
Intercept represents symptom level in grade 6
Year:
2023
Region / City:
Shanghai, China
Topic:
Pediatric growth and lifestyle
Document type:
Cohort study report
Institution:
Shanghai Birth Cohort Study
Author:
Zhang J. et al.
Target audience:
Epidemiologists, pediatricians, public health researchers
Study period:
Birth to 4 years of age
Follow-up points:
Birth, 3, 6, 9, 12, 18, 24 months, 3, 4 years
Measurements:
Weight, BMI, waist circumference, waist-to-height ratio, biceps circumference, subcutaneous fat
Predictors:
WAZ-change trajectories, early lifestyle factors (eating behaviors, physical activity, media exposure, total sleep duration)
Confounders:
Baseline family income, gestational age, maternal pre-pregnancy BMI, paternal BMI, newborn weight at first three days, sex, energy intake at six months
Data collection method:
Standardized protocols, duplicate measurements, multiple imputation for missing data
Statistical methods:
Group-based trajectory modeling, t-tests, ANOVA, linear regression, multivariate regression, Bonferroni corrections
Bias mitigation:
Critical follow-up age windows, standardized measurement, imputation of missing data
Year:
2023
Region / City:
Not specified
Topic:
Health-related quality of life after esophageal cancer treatment
Document Type:
Research Article
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, healthcare professionals, medical practitioners
Period of Application:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2025
Region / City:
Not specified
Topic:
Prostate cancer prognosis
Document Type:
Research article
Institution:
Not specified
Author:
Not specified
Study Design:
Retrospective cohort
Sample Size:
300 patients
Key Variables:
PSA trajectories, Gleason score, survival outcomes
Methodology:
Joint longitudinal and survival models, Cox model, descriptive statistics
Outcome Measures:
Overall PSA severity, overall survival, predictive relationships of PSA
Keywords:
Prognosis of prostate cancer, longitudinal analysis, time-to-event data, joint models, informative censoring
Year:
2017
Region / City:
Not specified
Theme:
Network meta-analysis, quality assessment, heterogeneity
Document Type:
Research study
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, clinicians
Period of validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Context:
Network meta-analysis examining the quality and heterogeneity of studies on hip replacement outcomes.
Year:
Not specified
Field:
Computer Networks
Topic:
Quality of Service, Traffic Identification, Network Performance
Document Type:
Academic conference paper
Institutions:
Central Lab. for Agricultural Expert Systems, Agricultural Research Center, Egypt; Faculty of Computers and Information, Cairo University
Authors:
Tarek Heggi; Maryam Hazman; Fathy Amer
Author Affiliations:
Agricultural Research Center, Egypt; Cairo University
Keywords:
IP networks; Performance management; Quality of Service; Traffic Identification; Simulation
Research Focus:
Impact of heterogeneity on network and application performance in IP networks
Core Concepts:
Quality of Service (QoS); Quality of Experience (QoE); traffic classification; network measurement
Methodological References:
deterministic and stochastic approaches; analytical and simulation models; machine learning classification
Technologies Mentioned:
DiffServ; IntServ; Multi Protocol Label Switching (MPLS); Autonomic Computing; Weka
Classification Techniques Discussed:
port-based; payload-based; behavioral-based; multilevel classification
Year:
2012–2018
Region:
International
Topic:
Inflammatory Bowel Disease, Meta-Analysis
Document Type:
Supplementary Tables
Institution:
Multiple Clinical Research Centers
Authors:
Sebkova, Vadan, De Vos, Molander, Dai, Echarri, Yu, Magro, Pinetun de Chambrun, Prymak, Zhang, Kaymak, Kumar, Munoz-Villafranca
Target Audience:
Clinicians and researchers in gastroenterology
Period Covered:
8 weeks to 2 years follow-up
Data Source:
Published studies included in meta-analyses
Assessment Tool:
Newcastle-Ottawa Scale (NOS)
Statistical Tests:
χ2-test, I2-test
Year:
2023
Region / City:
Not specified
Subject:
Mendelian Randomization analysis of metabolites
Document Type:
Research Data
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers in the field of genetic epidemiology
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Last Update:
Not specified
Year:
2026
Field:
Cancer research, spatial transcriptomics
Document type:
Supplementary data / Methods
Authors:
Sammy Ferri-Borgogno, Ying Zhu, Jianting Sheng, Jared K. Burks, Javier Gomez, Kwong Kwok Wong, Stephen T.C. Wong, Samuel C. Mok
Institution:
Unspecified (data from GEO database and previous publications)
Sample:
High-grade serous ovarian cancer patients
Techniques:
scRNA-seq, spatial transcriptomics, UMAP, PCA, GO enrichment analysis
Data source:
GEO database
Cell types analyzed:
Epithelial cells, fibroblasts, endothelial cells, T cells, B cells, myeloid cells, NK cells, dendritic cells, monocytes, macrophages
Analysis period:
Not specified
Methodology details:
Differential expression analysis, cluster annotation, ligand-receptor interaction assessment
Year:
2026
Region / City:
Not specified
Topic:
Cancer research
Document type:
Supplementary Materials
Institution:
Not specified
Authors:
Jianzhen Lin, Bo Hu, Yang Shi, Jiaqian Wang, Xu Yang, Weikang Hu, Xiaobo Yang, Xin Lu, Xinting Sang, Zhibo Gao, Ruibin Xi, Haitao Zhao
Target audience:
Medical researchers, Oncologists
Period of validity:
Not specified
Approval date:
Not specified
Date of amendments:
Not specified
Note:
Contextual description