United Nations Foundation

Humour-driven risk communication and community engagement to mitigate dengue: Lao People’s Democratic Republic, 2024

Visith Khamlusa, Vilakone Phangkhamhack, William Seal, Outhikone Souphome In et autres

Problem: In early 2024, Lao People's Democratic Republic experienced a surge in dengue cases approaching levels of its 2013 epidemic, underscoring the persistent threat of dengue during the monsoon season. Although awareness of preventive behaviours is high, inconsistent adoption has limited their …

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Heat behind the hearth: Dalit women's thermal labour, nutritional trade-offs, and energy injustice in Madhesh Province, Nepal

Animesh Ghimire, Mohan Das Manandhar, Sarita Karki, Karuna Bajracharya

Household energy research and clean-cooking policy have mainly treated biomass cooking as a problem of smoke exposure, while giving less attention to the heat generated by open fires and rudimentary stoves. This article examines that neglected burden through the concept of thermal …

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Correction: Negotiating household heat: thermal labor, energy justice, and women's health in Nepal's Madhesh Province

Animesh Ghimire, Mohan Das Manandhar, Sarita Karki, Karuna Bajracharya

Correction: Correction: Negotiating Household Heat: Thermal Labor, Energy Justice, and Women's Health in Nepal's Madhesh ProvinceAdding/removing text [NHRC field measurements have documented kitchen air temperatures of 50-54 °C (122-129 °F) during midsummer meal preparation in such dwellings [15]]. A correction has been …

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Tokyo Peacebuilding Forum on the 80th Anniversary of the United Nations

Ai Kihara-Hunt, Sukehiro Hasegawa

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Plant Leaf Disease Detection and Classification Using Convolutional Neural Networks

Ashwani Kumar, N. Abinesh, Shanmugasundaram Hariharan, Kyla L. Tennin

Global agricultural output is being threatened by plant diseases, which result in large losses. Conventional approaches to disease identification and categorization are labor-intensive, inefficient, and often constrained in scalability. The emergence of machine learning (ML) methodologies, especially in image processing and data …

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Correction: Drivers of illicit alcohol consumption among at-risk populations aged 15–29 years old in Zambia: a qualitative perspective

Tulani Francis L. Matenga, Cosmas Zyambo, Masauso Moses Phiri, Richard Zulu et autres

A correction refers to a change to their article that the author wishes to publish after publication. The publication of this article is subject to Frontiers' editorial approval.Instructions:• Please read through all the templates before choosing • Pick the most relevant text …

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Negotiating household heat: thermal labor, energy justice, and women’s health in Nepal’s Madhesh Province

Animesh Ghimire, Mohan Das Manandhar, Karuna Bajracharya

Introduction: Household cooking with solid fuels exposes women to prolonged indoor heat levels that routinely exceed internationally accepted occupational safety thresholds; yet, this exposure remains largely absent from climate-health analyses. This perspective article introduces the concept of thermal labor-the physiological strain, time …

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AI-Powered Chatbots for Managing Sinusitis

D. Logapriya, A. V. Senthil Kumar, Kyla L. Tennin, Gaganpreet Kaur et autres

This chapter aims to develop an AI-powered chatbot designed to provide personalized Ayurvedic and home remedy solutions for individuals suffering from sinusitis. Sinusitis, an inflammation of the sinuses, is a common condition that can cause severe discomfort, including headaches, nasal congestion, and …

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Hygiene and sanitation public health risks in illicit alcohol production and retail in Zambia

Musawa Mukupa, Cosmas Zyambo, Masauso Moses Phiri, Richard Zulu et autres

Introduction: Illicit alcohol, existing outside legal frameworks, lacks safety standards and may contain harmful substances. In Africa, the illicit alcohol market is pervasive, contributing to significant public health challenges. The state in Zambia may not be so different where abuse of alcohol …

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Illicit alcohol consumption and its associated factors among patrons in Zambia: a cross-sectional analytical study

Cosmas Zyambo, Masauso Moses Phiri, Richard Zulu, Musawa Mukupa et autres

Introduction Illicit alcohol consumption is prevalent globally, particularly in low- and middle-income countries where formal regulatory systems are weak or less enforced. Consumption of illicit alcohol has serious consequences, both immediate and long-term. Objective To examine the socio-demographic and behavioral factors associated …

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Personalized Music Recommendation System for Athletes Using EEG Signals

B. Madhubala, A. V. Senthil Kumar, Kyla L. Tennin, R. V. Suganya et autres

Personalized music recommendation system that uses EEG data to assess athletes' emotional states, such as calm, focus, excitement, and suggests music to enhance their performance. The system includes three key components: emotion classification, music profiling, and integration. EEG signals are collected from …

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Drivers of illicit alcohol consumption among at-risk populations aged 15–29 years old in Zambia: a qualitative perspective

Tulani Francis L. Matenga, Cosmas Zyambo, Masauso Moses Phiri, Richard Zulu et autres

Background: Illicit alcohol consumption is a major public health problem in Zambia and many other countries in Sub-Saharan Africa. This study aimed to determine drivers of illicit alcohol consumption among at-risk populations, such as youths, in selected urban areas in Zambia, using …

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