Combating urban heat: Systematic review of urban resilience and adaptation strategies.

Urban areas are currently facing the increasingly pressing issue of urban heat worldwide, which is being worsened by climate change and rising urbanization. As a result, there is a growing need for new approaches to enhance urban resilience and adapt to these challenges. The escalating occurrence and severity of urban heat events provide notable hazards, particularly to susceptible groups, necessitating proactive efforts to alleviate detrimental consequences.

Comparative analysis of environmental sustainability indicators: Insights from Japan, Bangladesh, and Thailand.

This study analyses environmental sustainability indicators (ESIs) and explores their governance challenges in developing countries (Bangladesh and Thailand) and advances possible remedies in light of the practices of a developed country (Japan). A comparative analysis of countries' performance based on the ESIs could help identify useful practices from countries with high ESI to improve the poor ESI countries. While it is broadly understood that renewable energy and effective governance support environmental sustainability, our findings extend this knowledge by detailing how these factors interact specifically within the contexts of developed and developing nations.

Integrative approaches to urban resilience: Evaluating the efficacy of resilience strategies in mitigating climate change vulnerabilities.

The successful implementation of urban resilience strategies is of utmost importance in order to reduce susceptibility and bolster resilience in the face of climate change consequences. The current understanding of the efficacy of different resilience strategies in mitigating vulnerability and bolstering urban resilience is lacking, despite its significance. This study assesses the efficacy of resilience strategies in mitigating vulnerability and enhancing urban resilience.

A model for evaluating the performance of compulsory education inputs in ethnic areas in China.

A scientific performance evaluation model is necessary to establish a performance evaluation index system for compulsory education in ethnic areas and to conduct objective and impartial evaluations. After conducting theoretical analysis and reviewing literature, it was determined that existing educational input performance evaluation models are general and fail to reflect the unique characteristics of compulsory education development in ethnic areas of China. Therefore, this study intends to improve their self-adaptability and degree of fit.

Impact of industry-university-research collaboration and convergence on economic development: Evidence from chengdu-chongqing economic circle in China.

Collaboration among industry, universities, and research is crucial for building an innovative nation. Although industry-university-research collaborative innovation (IURCI) and time-space convergence can drive innovation, increase productivity, and spur economic development, their effects on the regional economy have not been thoroughly examined in existing literature. Therefore, this study investigates the impact of industry-university-research collaborative innovation (IURCI) and time-space convergence on economic development in China.

Big data-driven public health policy making: Potential for the healthcare industry.

The use of healthcare data analytics is anticipated to play a significant role in future public health policy formulation. Therefore, this study examines how big data analytics (BDA) may be methodically incorporated into various phases of the health policy cycle for fact-based and precise health policy decision-making. So, this study explores the potential of BDA for accurate and rapid policy-making processes in the healthcare industry.

Technological prospects of Belt and Road Initiative in Bangladesh.

This study provides an alternative agenda to better explain the Belt and Road Initiative's (BRI's) technological connotations in Bangladesh using the Game Theory and Demand Curve approaches. BRI can proceed as a means to technology development for Bangladesh based on foreign direct investment (FDI) spillover effects that ranked China as the top FDI source, with 1159.42 million USD invested in 2018-2019.

Climate change induced human displacement in Bangladesh: Implications on the livelihood of displaced riverine island dwellers and their adaptation strategies.

In Bangladesh, many people are being displaced in riverine island (char) areas every year due to climate change and its associated natural catastrophes. This study intends to investigate the impact of climate change on internally displaced char people's lives and livelihoods along with local adaptation strategies and hindrances to the coping mechanism. Data have been collected from 280 internally displaced households in two sub-districts.

Understanding rural local government response during COVID-19-induced lockdown: perspective from Bangladesh.

This study intends to explore the responses of local government during the COVID-19-induced lockdown in the rural areas, with particular emphasis on Bangladesh. By adopting a qualitative phenomenological research approach and employing multi-method data collection techniques (for instance, Key Informant Interview (KII), Focus Group Discussion (FGD), participant observation, and content analysis), this study found that the local governments managed the crisis of the pandemic relatively well with its limited manpower and funding through adequate preparedness and prevention strategies; effective emergency responses; and consolidated post-lockdown measures. The study revealed that the Bangladesh local government promptly took some essential actions, such as preparedness and prevention, arrangement of home quarantine and isolation, the training program for readiness, and disseminated crucial information to the local people during the pandemic, such as using masks, hand washing and sanitizing, and social distancing.

Assessment of multiple subjects' synergetic governance in vocational education.

Synergetic governance is a practical approach to ensure quality in the teaching-learning process at multi-dimensional perspectives. This study intends to explore the potential of a synergetic governance approach in the vocational education system. A systematic literature review has been done by applying the PRISMA approach.

Tourism Competitiveness Evaluation: Evidence From Mountain Tourism in China.

The evaluation of tourism competitiveness is an important tool for analyzing the potential of tourism in a specific context. Enshi Autonomous Prefecture (EAP) in China is selected as a case through which to explore the potential of mountain tourism and its competitiveness in the tourism industry. This study develops EAP's mountain tourism competitiveness model focusing on three criteria: core competitiveness of mountain tourism, the economic environment's competitiveness, and infrastructure competitiveness.

Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities.

Nowadays, technology has been evolving rapidly. Due to the consequent impact of smart technologies, it becomes a ubiquitous part of life. These technologies have led to the emergence of smart cities that are geographic areas driven by advanced information and communication technologies.

Impacts of COVID-19 induced food insecurity among informal migrants: Insight from Dhaka, Bangladesh.

Food insecurity is one of the rising problems in Bangladesh, and it is severely prevalent among informal migrant workers. In this case, the COVID-19 pandemic has multiplied the food insecurity of informal migrant workers. This study explores and synthesizes the COVID-19 induced food insecurity impact among informal migrants and recommends policy actions to tackle the COVID-19 led food crisis in Bangladesh.

Do organic fertilizer impact on yield and efficiency of rice farms? Empirical evidence from Bangladesh.

Organic fertilizer is one of the critical elements of organic and sustainable agricultural development. This study analyzes the economic impact of organic fertilizer on rice farms' yield and technical efficiency (TE) in Bangladesh. The Stochastic Production Frontier (SPF) approach has been employed by using a sample of 2652 rice plots covering seven broad agro-ecological zones of Bangladesh.

Impact of climate change on human health: evidence from riverine island dwellers of Bangladesh.

This study aims to explore the impact of climate change on health, including local adaptation strategies. A mixed-method approach has been used in this study. The results reveal that increasing the frequency of flooding, severity of riverbank erosion and drought, and rising disease outbreak are the highest indicators of climate change perceived by riverine island (char) dwellers, which is similar to the observed data.

Determination of antimicrobial and phytochemical compounds of plant.

The aim of this study was to explore the effectiveness of different parts of plant against some selected human pathogens as antimicrobial agent which are known to cause diseases and to check antioxidant and phytochemicals from different plant sections of . Plant extracts were analyzed by quantification of antimicrobial and phytochemical compounds. This study reveals that 20% ethanol stem extract of showed maximum antibacterial activity (40 ± 0.

Comprehensive evaluation of chemical properties and toxic metals in the surface water of Louhajang River, Bangladesh.

Louhajang River, Bangladesh, which crosses Tangail as a densely industrialized and urbanized city, supplies water for different purposes. This study reports the levels of pH, electrical conductivity (EC), and some toxic heavy metals in 40 water samples collected during the summer and winter seasons from Louhajang River. The winter season reported higher levels of the examined parameters than the summer season with significant variation (p < 0.

Boosting Breast Cancer Detection Using Convolutional Neural Network.

Breast cancer forms in breast cells and is considered as a very common type of cancer in women. Breast cancer is also a very life-threatening disease of women after lung cancer. A convolutional neural network (CNN) method is proposed in this study to boost the automatic identification of breast cancer by analyzing hostile ductal carcinoma tissue zones in whole-slide images (WSIs).