Optimizing agricultural data security: harnessing IoT and AI with Latency Aware Accuracy Index (LAAI).

The integration of Internet of Things (IoT) and artificial intelligence (AI) technologies into modern agriculture has profound implications on data collection, management, and decision-making processes. However, ensuring the security of agricultural data has consistently posed a significant challenge. This study presents a novel evaluation metric titled Latency Aware Accuracy Index (LAAI) for the purpose of optimizing data security in the agricultural sector.

Health system evaluation in conflict-affected countries: a scoping review of approaches and methods.

Introduction: Strengthening health systems in conflict-affected settings has become increasingly professionalised. However, evaluation remains challenging and often insufficiently documented in the literature. Many, particularly small-scale health system evaluations, are conducted by government bodies or non-governmental organisations (NGO) with limited capacity to publish their experiences.

Gene Ontology Capsule GAN: an improved architecture for protein function prediction.

Proteins are the core of all functions pertaining to living things. They consist of an extended amino acid chain folding into a three-dimensional shape that dictates their behavior. Currently, convolutional neural networks (CNNs) have been pivotal in predicting protein functions based on protein sequences.

Community engagement in health systems interventions and research in conflict-affected countries: a scoping review of approaches.

Background: Healthcare research, planning, and delivery with minimal community engagement can result in financial wastage, failure to meet objectives, and frustration in the communities that programmes are designed to help. Engaging communities - individual service-users and user groups - in the planning, delivery, and assessment of healthcare initiatives from inception promotes transparency, accountability, and 'ownership'. Health systems affected by conflict must try to ensure that interventions engage communities and do not exacerbate existing problems.

Monitoring and Evaluation of National Vaccination Implementation: A Scoping Review of How Frameworks and Indicators Are Used in the Public Health Literature.

An effective Monitoring and Evaluation (M&E) framework helps vaccination programme managers determine progress and effectiveness for agreed indicators against clear benchmarks and targets. We aimed to identify the literature on M&E frameworks and indicators used in national vaccination programmes and synthesise approaches and lessons to inform development of future frameworks. We conducted a scoping review using Arksey and O'Malley's six-stage framework to identify and synthesise sources on monitoring or evaluation of national vaccination implementation that described a framework or indicators.

Operationalising Regional Cooperation for Infectious Disease Control: A Scoping Review of Regional Disease Control Bodies and Networks.

Background: The rapid spread of the coronavirus disease 2019 (COVID-19) pandemic demonstrates the value of regional cooperation in infectious disease prevention and control. We explored the literature on regional infectious disease control bodies, to identify lessons, barriers and enablers to inform operationalisation of a regional infectious disease control body or network in southeast Asia.

Methods: We conducted a scoping review to examine existing literature on regional infectious disease control bodies and networks, and to identify lessons that can be learned that will be useful for operationalisation of a regional infectious disease control body such as the Association of Southeast Asian Nations (ASEAN) Center for Public Health Emergency and Emerging Diseases.

CapPlant: a capsule network based framework for plant disease classification.

Accurate disease classification in plants is important for a profound understanding of their growth and health. Recognizing diseases in plants from images is one of the critical and challenging problem in agriculture. In this research, a deep learning architecture model (CapPlant) is proposed that utilizes plant images to predict whether it is healthy or contain some disease.

Whose voices should shape global health education? Curriculum codesign and codelivery by people with direct expertise and lived experience.

There are contrasting opinions of what global health (GH) curricula should contain and limited discussion on whose voices should shape it. In GH education, those with first-hand expertise of living and working in the contexts discussed in GH classrooms are often absent when designing curricula. To address this, we developed a new model of curriculum codesign called Virtual Roundtable for Collaborative Education Design (ViRCoED).

Lessons from humanitarian clusters to strengthen health system responses to mass displacement in low and middle-income countries: A scoping review.

The humanitarian cluster approach was established in 2005 but clarity on how lessons from humanitarian clusters can inform and strengthen health system responses to mass displacement in low and middle-income countries (LMIC) is lacking. We conducted a scoping review to examine the extent and nature of existing research and identify relevant lessons. We used Arksey and O'Malley's scoping framework with Levac's 2010 revisions and Khalil's 2016 refinements, focussing on identifying lessons from discrete humanitarian clusters that could strengthen health system responses to mass population displacement.

Plasmonic-enhanced photocatalysis reactions using gold nanostructured films.

This work shows the enhancement of the visible photocatalytic activity of TiO NPs film using the localized surface plasmonic resonance of Au nanostructures. We adopted a simple yet effective surface treatment to tune the size distribution, and plasmonic resonance spectrum of Au nanostructured films on glass substrates, by hot plate annealing in air at low temperatures. A hybrid photocatalytic film of TiO:Au is utilized to catalyse a selective photodegradation reaction of Methylene Blue in solution.