Low Carbon Sustainable Diet Choices-An Analysis of the Driving Factors behind Plant-Based Egg Purchasing Behavior.

In the face of escalating climate change, environmental pollution, and global crises, plant-based eggs are a viable solution for environmental conservation and health promotion. This study uses an integrated framework combining value-belief-norm (VBN) theory and the Theory of Planned Behavior (TPB) to explore the factors influencing Taiwanese consumers' inclination towards plant-based eggs. Through convenience sampling, 417 questionnaires were issued and 387 valid responses were received, indicating a 92.8% valid response rate. The analysis indicates that consumers' biospheric and altruistic values significantly enhance their awareness of outcomes, which, coupled with their sense of responsibility, strengthens personal norms. From the TPB perspective, perceived behavioral control is identified as a critical driver of the intention to purchase plant-based eggs, with attitudes and subjective norms playing significant roles. Subjective norms positively impact personal norms, thereby influencing consumers' behavioral intentions. The findings confirm the integrated model's theoretical and practical validity, and offer valuable insights for businesses. By developing adept marketing strategies that consider market dynamics, this study enhances the effectiveness and value of marketing efforts by boosting consumers' engagement with plant-based eggs. These insights contribute to advancing environmental sustainability goals.

Green gold or carbon beast? Assessing the environmental implications of cryptocurrency trading on clean water management and carbon emission SDGs.

This study addresses the ongoing debate concerning the environmental implications of cryptocurrencies. Specifically, it investigates the impact of Bitcoin trading volume on water and sanitation (Sustainable Development Goal (SDG) 6) and climate action (SDG 13). The research employs Ordinary Least Squares (OLS) panel data analysis to examine these relationships using a sample of 32 countries with available Bitcoin trading volume data from 2013 to 2020. The findings indicate that Bitcoin trading significantly and positively impacts progress towards SDG 6, suggesting potential benefits for water and sanitation initiatives. However, the study reveals a significant negative impact of higher Bitcoin trading volume on increased carbon emissions, underscoring the environmental costs associated with cryptocurrency activities. Similar impacts are observed for gold reserves, as their mining necessitates substantial energy consumption. These results highlight the need to regulate cryptocurrency trading and promote voluntary sustainable practices, particularly given the disparities between developed and emerging markets based on their governance frameworks. Additionally, the study considers the disparities between countries based on technology exports and economic policy uncertainty as influential determinants. The study's results emphasize the importance of proactive measures to ensure the responsible and sustainable use of cryptocurrencies. While cryptocurrencies offer significant economic returns, their early adoption stage necessitates further investigation into environmentally friendly approaches. Potential strategies include directing financial returns from cryptocurrencies towards alternative energy projects and supporting other environmental SDGs, thereby fostering a positive impact on the overall ecosystem. The study's implications extend to policymakers, regulators, and stakeholders, advocating for comprehensive and collaborative efforts to integrate sustainability into the rapidly evolving cryptocurrency market. This integration is crucial to ensure that the economic benefits of cryptocurrencies do not come at the cost of our environment.

Assessing microclimate thresholds for heritage preventive conservation to achieve sustainable and energy efficiency goals in a changing climate.

This research addresses the issue of the heritage preventive conservation in the perspective of energy sustainability, for contributing to the achievement of the Sustainable Development Goals (SDGs) and towards the EU Green Deal. The study analyses and compares four cases associated with different microclimate thresholds as suggested by the standard EN 16893:2018 (Cases 1-3) and as derived from the outputs of three degradation models for preserving paper, wood, and canvas paintings (Case 4). Weather-based indices (degree and gram days) were calculated to estimate trends in the potential energy demand of collection facilities in three European cities belonging to different Köppen-Geiger climate zones (Cfb, Csa, and Dfb), under recent past (1981-2010) and near/far future climate scenarios (2021-2050 and 2071-2100) from two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5). The findings suggest that adapting facilities' management strategies to focus on collections preservation can facilitate the achievement of 5 out of 17 SDGs, offering a viable alternative to costly energy retrofits and encouraging the development of shared solutions for similar facilities in the same climate zone. The results can contribute to inform the revision of EN 16893 and to face major challenges such as the preservation of paper collections in southern latitudes.

The hidden concept and the beauty of multiple "R" in the framework of waste strategies development reflecting to circular economy principles.

There are numerous unresolved research questions, along with ongoing debates regarding how to achieve circular economy and at what level. The forthcoming circular economy standard (ISO 59000 framework) as a result from the ISO/TC 323, from the International Organization for Standardization (ISO) aims to offer global implementation pathways using a unified technical language. The most challenging aspect of circularity, whether viewed scientifically, technically, and/or legislatively, is how to enhance prosperity while reducing reliance on primary materials and energy to achieve climate neutrality by 2050, thereby aiding the EU in achieving a successful and equitable transition towards a sustainable future. Strategies in the framework of waste management and circular economy are essential and needed to reduce the impact of several processes on the environment through product, processes, and corporate policies using green applicable sustainable resources and environmental management systems. In addition, "measuring something that is not there" is very complex and not fully comprehensible, not clear and not tangible from organizations, researchers, policy makers and citizens. The willingness and ability of individuals or organizations to take actions towards a low-carbon society involves grappling with various perspectives, such as social norms and economic viability. Circular economy is considered a tool in combating climate change and implementing climate mitigation (as well as adaptation) measures. Moreover, to date, there has been no common scientific or technical language for the application of the circular economy concept. This paper highlights the multitude of "Rs" beyond the well-known (3Rs) Reduce-Reuse-Recycle pattern, which can be applied in various contexts to assist SMEs and organizations (and even more citizens) in successfully adopting circular economy principles, while also shedding light on how these "Rs" can be utilized to measure intangible aspects (something that is not there). The results indicates that more than 55Rs exist which directly involved in the circular economy framework considering also waste management strategies. The findings of this study reveal the existence of over 82 "Rs" beyond the well-known principles of "reduce, reuse, recycle," each playing a distinct role in the development of strategies aimed at addressing waste management issues and advancing circularity towards a low-carbon society. Furthermore, the results could be useful for any policy makers, consultants, engineers, practitioners, urban planners, academics etc., in order to develop, apply, monitor and improve any strategy such as waste prevention, reuse, reduce, energy recovery etc., in the framework of circular economy principles, solid waste management and beyond.

Knowledge of and policy support for the SDGs: An inverted U-shaped relationship.

This study aims to examine the relationship between knowledge of the SDGs and public policy support for the SDGs. By categorizing knowledge into objective and subjective knowledge, we examine the impact of these two types of knowledge on public support. And we further explores the moderating role of public trust in international/environmental organizations and the mediating role of individuals' perceptions of SDGs' relevance. By conducting an online survey in China (n=3089), we analyze the dataset using (generalized) logistic regression model and mediation analysis. This study finds that 1) both individuals' objective and subjective knowledge of SDGs are significantly associated with policy support for SDGs, an inverted U-shaped relationship is identified for objective knowledge, while subjective knowledge and policy support are positively correlated; 2) for publics who trust international/environmental organizations, their support for the SDGs will be boosted by their increased level of knowledge; 3) individuals' perceptions of SDGs' relevance to their personal life mediates the relationship between individual's knowledge of SDGs and policy support for the SDGs. This study applies several sampling and modelling techniques for robustness check. This study extends our understanding of the relationship between knowledge and policy support in the context of the SDGs.

Heterogeneous and interactive effects of payments for ecosystem services on household income across giant panda nature reserves.

Numerous Payments for Ecosystem Services (PES) programs have been implemented simultaneously around the world but their outcomes in the literature are not consistent and their interactive effects remain understudied. The Natural Forest Conservation Program (NFCP) and Grain to Green Program (GTGP) are two largest PES programs in the world, and many studies have evaluated their effects on household income. However, the identified effects often varied across different studies and the factors explaining this variation are poorly understood. This study used linear regression and geographic detector analysis, based on questionnaire survey data from 14 giant panda natural reserves (NRs) in southwestern China, to evaluate the effects of the NFCP and GTGP on household income and the factors which moderate these effects. The results revealed that the effects of two PES programs on household income were spatially heterogeneous and enhanced by each other and livelihood activities, suggesting a synergistic interaction between policies and livelihood activities, particularly tourism. This study also found that livelihoods activities (e.g., labor migration and tourism), household capital (i.e., house area and farmland area) and demographic factors (i.e., number of labor and non-labor members), exhibit spatial heterogeneity in their effects on household income across NRs. These findings underscore the importance of considering local socioeconomic conditions and the interaction between policy and socio-economic conditions in PES program design to achieve desired outcomes, providing insights for policymakers and practitioners worldwide.

The path to scientifically sound biodiversity valuation in the context of the Global Biodiversity Framework.

Successful implementation of the Kunming-Montreal Global Biodiversity Framework requires identifying a process for measuring and valuing changes in biodiversity that build on the recognition that economics and valuation must play a key role in "halting and reversing" biodiversity loss. Here, we discuss considerations for a practical path to valuing changes in biodiversity. Framing changes in the value of biodiversity as a summary of changes in certain natural assets enables leveraging existing approaches and international standards associated with environmental-economic accounting. We discuss why an approach that builds from individual species, evolutionary groups, or functional groups into a practical, hierarchical statistical classification system is better than the development of any one biodiversity index. We merge techniques from ecology and other natural sciences, national and environmental-economic accounting, and economics, which are all on the cusp of making measurement of the change in the value of biodiversity possible. The focus should be on scaling and integrating these approaches. The path forward appears to begin with imperfect but useful measures, grounded in robust concepts, while establishing ambition to further scale-up measurements-just like the past evolution of many other official statistical series.

Social sustainability in Bangladesh marine fisheries management: A case from Hatiya fishing community.

Social sustainability in fisheries focuses on retaining or improving societal welfare in the fishery system without threatening its long-term financial benefits and socio-cultural welfare. However, often social sustainability issues are ignored while implementing any fisheries management actions rather than only focusing on economic and environmental sustainability issues. This study assesses the social sustainability in Bangladesh marine fisheries management gaining insights from the coastal and marine fisheries-dependent communities of Hatiya Upazila in 2021-2022 using a mixed method approach especially focusing on the social issues during the marine fishing ban. Results have shown positive effects on fish production but negative implications on the socio-economic circumstances of the reliant households after the implementation of the marine fishing ban. During the ban, the ability of around 33 % of fisher households to have 3 meals a day has drastically reduced to 2 or 1 meal per day. Households' average fish intake has reduced from 7 kg to 4 kg per week during the ban. Similarly, there have been detrimental effects on family relationships, healthcare access and children's education during the ban. Moreover, pregnant women and children have suffered greatly from protein deficiencies as fishers could not buy protein-rich foods for their families during the ban. Due to the shortage of alternate income-generating activities (AIGAs), almost 71 % of fishers became indebted during the ban. To assist the fishers during the ban, the government has implemented several measures, such as offering incentives (40 kg of rice per registered fisherman per month) and/or AIGA but those are too scant to recompense for the loss that is incurred due to the fishing ban. Finally, this study provides some way forward to bring social sustainability that is affected due to the marine fishing ban as well as to partly meet the targets of Sustainable Development Goals 1, 2, 14 and 15.

Assessing the equity and coverage policy sensitivity of financial protection indicators in Europe.

Progress towards universal health coverage is monitored by the incidence of catastrophic spending. Two catastrophic spending indicators are commonly used in Europe: Sustainable Development Goal (SDG) indicator 3.8.2 and the WHO Regional Office for Europe (WHO/Europe) indicator. The use of different indicators can cause confusion, especially if they produce contradictory results and policy implications. We use harmonised household budget survey data from 27 European Union countries covering 505,217 households and estimate the risk of catastrophic spending, conditional on household characteristics and the design of medicines co-payments. We calculate the predicted probability of catastrophic spending for particular households, which we call LISAs, under combinations of medicines co-payment policies and compare predictions across the two indicators. Using the WHO/Europe indicator, any combination of two or more protective policies (i.e. low fixed co-payments instead of percentage co-payments, exemptions for low-income households and income-related caps on co-payments) is associated with a statistically significant lower risk of catastrophic spending. Using the SDG indicator, confidence intervals for every combination of protective policies overlap with those for no protective policies. Although out-of-pocket medicines spending is a strong predictor of catastrophic spending using both indicators, the WHO/Europe indicator is more sensitive to medicines co-payment policies than the SDG indicator, making it a better indicator to monitor health system equity and progress towards UHC in Europe.

Exploring the Sustainability of Upcycled Foods: An Analysis of Consumer Behavior in Taiwan.

Given the urgent climate change and food security challenges, upcycled food products are crucial for sustainable food production and waste management. This study investigates Taiwanese consumer behavior towards upcycled foods using the value-attitude-behavior (VAB) theory, focusing on "product knowledge", "green perceived quality", and "price sensitivity". Of the 335 distributed surveys, 320 valid responses (95.5% effectiveness) were analyzed. The results indicated that eco-conscious values strongly influenced consumer attitudes and anticipated guilt (ß = 0.647, p < 0.001; ß = 0.691, p < 0.001), shaping behavioral intentions (ß = 0.290, p < 0.001). Attitudes significantly correlated with intentions, validating the VAB framework. However, anticipated guilt showed a minimal impact (ß = 0.029, p = 0.629), revealing complex consumer emotions. Green perceived quality and product knowledge were the key decision-making factors (ß = 0.193, p < 0.001; ß = 0.146, p < 0.001). Surprisingly, price sensitivity positively influences intentions (ß = 0.764, p < 0.001), suggesting the consumer prioritization of quality and environmental values over price. These insights inform strategies for businesses to enhance consumer engagement and sustainability alignment, advancing progress towards Sustainable Development Goals (SDGs).

The impact of teachers' perceived competence in information and communication technology usage, and workplace anxiety on well-being, as mediated by emotional exhaustion.

Introduction: The 2030 Sustainable Development Goals (SDGs) were adopted by the United Nations in 2015, emphasizing the importance of achieving peace, prosperity, and well-being for all people. With the outbreak of the COVID-19 pandemic, sustainable health has become an important issue. Teachers were forced to adopt distance teaching, necessitating rapid upgrading of their ICT skills and integration into e-learning, which caused tangible and intangible pressures on teachers and impacted their well-being. This study examined the effects of ICT competence on teachers' workplace anxiety, emotional exhaustion, and well-being during the pandemic from the perspective of Social Cognitive Theory (SCT). Methods: A quantitative research methodology and a questionnaire survey with a total of 21 questions were used as the primary research design. The snowball method was employed as a sampling method for online questionnaires from September to October 2021. A total of 216 questionnaires were collected, of which four incomplete questionnaires were excluded, leaving 212 valid questionnaires, with a valid questionnaire recovery rate of 98.1%. The valid questionnaires were analyzed using Smart Pls 4.0 Partial Least Square Method Structural Equation Modeling (PLS-SEM). Results: The study found that teachers' ICT competence could significantly reduce emotional exhaustion and enhance teachers' well-being. However, there was no significant effect on workplace anxiety. Additionally, well-being was not directly affected by workplace anxiety, and teachers' well-being needs to be mediated by emotional exhaustion to be indirectly affected. Emotional exhaustion plays an important mediating role between teachers' ICT competence and workplace stress, both of which are important mediators of well-being. Discussion: From a practical point of view, to achieve the Sustainable Development Goals (SDGs) 2030, it is ideal to have good health and well-being for the whole person. This study facilitates the development of strategies to improve the well-being of teachers, which provides an empirical basis for the enhancement of mental health and well-being of educators.

Switzerland and the Sustainable Development Goals of the United Nations from the youngSCS Perspective.

Switzerland's commitment to the Sustainable Development Goals of the United Nations is showcased in this article with concrete examples of actions taken so far in the private and public sector. To further highlight the involvement of the chemical scientists in the implementation of the SDGs in Switzerland to date, the young-SCS also interviewed various individuals.

Exploring the mediating role of financial inclusion in the relationship between economic policy uncertainty and CO2 emissions: A global perspective.

This study examines the connection between economic policy uncertainty (EPU), CO2 emissions, and financial inclusion in developed and developing countries. Using the data from 2004 to 2021, advanced statistical techniques are employed, including Sobel test, to explore the mediating effect of financial inclusion on the relationship between economic policy uncertainty (EPU) and CO2 emissions. There is a dearth of research examining these three variables together in a single study. Similarly, using financial inclusion as a mediator in the relation of EPU and CO2 emissions is a novel concept. This article employs a multi-indicator approach to measure key variables like CO2 emissions and financial inclusion. The results indicate that uncertainties in economic policies contribute in practices that lead to higher CO2 emissions in overall panel data of 44 countries. In addition, when considering the relationship between EPU and FI, the results indicate a significant and negative relationship between EPU and FI. If there is uncertainty in economic policies, it may lead toward challenges and hurdles in financial inclusion. When the mediating affect was checked, it was found financial inclusion acts as a significant mediator in the relationship between EPU and CO2 emissions, depicting that financial inclusion fosters the environmental quality and mitigates the potential harmful effects of environmental aspects of economic policy uncertainty. Therefore, policies that promote financial inclusion should be given top priority by governments, particularly in emerging nations. Financial literacy and bank service accessibility should be promoted. These measures would lessen the impact of staggering economic policies on CO2 emissions. It is necessary for policymakers to include environmental factors, specifically those relating to carbon emissions, into economic strategies. This requires encouraging industries to adopt eco-friendly practices and coordinating economic strategies with sustainability objectives.

Threat or prospect? Exploring the impact of digital entrepreneurs' artificial intelligence perception and intention to adopt blockchain technology on the achievement of SDGs.

This paper explores how digital entrepreneurs' intention toward blockchain technology adoption, perception of reduced costs, and knowledge of Artificial Intelligence impact achieving UN's Sustainable Development Goals (SDGs), drawing attention from various sectors. Present study applies explanatory sequential mixed method for data collection. Moreover, to work with the dual face patterned data, PLS-SEM is used to perform quantitative analysis of the data collected from 389 digital entrepreneurs who are chosen through purposive sampling and then content analysis is performed for the qualitative data according to the explanatory sequential mixed method's rule of thumb. The study's quantitative phase shows that factors such as perceived ease of use and usefulness of Industry 4.0 technologies, knowledge of artificial intelligence (KAI), and perception of reduced cost positively influence digital entrepreneurs' intention to adopt blockchain technology (BCT). Notably, KAI has the strongest impact. In the qualitative phase, it's found that digital entrepreneurs' KAI and willingness to adopt BCT strongly align with achieving several UN Sustainable Development Goals (SDGs), suggesting BCT adoption's potential for sustainable outcomes. The outcomes of this study set a new benchmark in the domain of SDGs achievement with careful integration to Industry 4.0, AI and BCT. This study results undoubtedly instigate the digital entrepreneurs to adopt BCT in doing their start-up and convince the policymakers to set regulatory landscape with convenient environment for the utilization of BCT which then ultimately accelerates the achievement of SDGs.

Advanced Fungal Biotechnologies in Accomplishing Sustainable Development Goals (SDGs): What Do We Know and What Comes Next?

The present era has witnessed an unprecedented scenario with extreme climate changes, depleting natural resources and rising global food demands and its widespread societal impact. From providing bio-based resources to fulfilling socio-economic necessities, tackling environmental challenges, and ecosystem restoration, microbes exist as integral members of the ecosystem and influence human lives. Microbes demonstrate remarkable potential to adapt and thrive in climatic variations and extreme niches and promote environmental sustainability. It is important to mention that advances in fungal biotechnologies have opened new avenues and significantly contributed to improving human lives through addressing socio-economic challenges. Microbe-based sustainable innovations would likely contribute to the United Nations sustainable development goals (SDGs) by providing affordable energy (use of agro-industrial waste by microbial conversions), reducing economic burdens/affordable living conditions (new opportunities by the creation of bio-based industries for a sustainable living), tackling climatic changes (use of sustainable alternative fuels for reducing carbon footprints), conserving marine life (production of microbe-based bioplastics for safer marine life) and poverty reduction (microbial products), among other microbe-mediated approaches. The article highlights the emerging trends and future directions into how fungal biotechnologies can provide feasible and sustainable solutions to achieve SDGs and address global issues.

Women's access to healthcare services in the Jazan region of the KSA.

Objective: Our study investigated women's access to governmental healthcare in the Jazan region of the KSA. Our purpose is to provide a comprehensive analysis of the determinates of women's perceptions of their own access to healthcare, considering various demographic factors, family life, and gender role beliefs. Methods: We conducted a hierarchical regression analysis using data from a sample of 494 women. The first model included nationality, education, age, rurality, and other sociodemographic factors. The second model included the variables from the first model as well as self-ratings of physical and mental health and regular exercise. The third model included the variables from the first two models in addition to satisfaction with family life and gender role beliefs. Results: Our analysis revealed that age, nationality, employment, and having good physical and mental health, and satisfaction with family life positively predicted women's perceptions of their access to healthcare. Adherence to traditional gender roles, however, predicted less accessibility. Conclusion: Policymakers could use the outcomes of our study to enhance women's healthcare accessibility in Jazan region. The results could enhance the development and transformation of healthcare and women's health issues, particularly in understudied rural Saudi regions.

Co-flotation of effluents from detergent and marble processing industries in Denver and dispersed air flotation systems.

Suspended solids in the marble processing wastewater (MPWW) have the potential to pollute receiving media. Likewise, detergent production wastewater (DPWW) needs treatment prior to discharge as they include surfactants and others. Flotation and its modifications are common for separation purposes in various engineering solutions. To increase flotation performance by changing the surface tension some collector and frother chemicals, surfactants are utilized. Detergents are among important surfactants and they may act as both frother and collector in flotation. Therefore, the purpose of this study was to determine the effectiveness of DPWW in co-flotation with MPWW. Two effluents were mixed at varying ratios and dispersed air (DISP) and Denver (DEN) flotation co-treatment were applied to the mixtures. Volume ratio, time and air flow rate on treatment performance were investigated. Turbidity, solids, COD, phosphate removals were achieved at varying levels when the flotation was applied to the mixture. The highest treatment performance was achieved at 90%MPWW-10%DPWW mixture. 10 min flotation time and 2 L min-1 air flow rate for the DEN system, and 20 min and 6 L min-1 for the DISP system were recommended. Under these conditions turbidity, SS, COD, phosphate and alkalinity residuals (and removal efficiencies) were 2400 NTU(82%), 1720 mg.L-1(89%), 313.6 mg.L-1(10%), 20 mg.L-1(20%) and 600 mg.L-1CaCO3(92%) in the DEN system, respectively. Whereas, in the DISP system, under the same conditions, final values of 1880 NTU(86%), 1540 mg.L-1(91%), 262 mg.L-1(17%), 21 mg.L-1(20%) and 470 mg.L-1(94%) were obtained, respectively. The highest SludgeSS concentration increased up to 19300 mg.L-1 in the 90%-10% mixture. In all samples, dewaterable sludge was obtained. By this study, co-flotation of these two effluents was recommended. Within SDGs, this approach will replace frother chemical usage. The process performance can further be enhanced via flotation modifications and technology can be developed as further study.

Population modifiable risk factors associated with neonatal mortality in 35 sub-Saharan Africa countries: analysis of data from demographic and health surveys.

Background: Sub-Saharan Africa (SSA) has the highest burden of neonatal mortality in the world. Identifying the most critical modifiable risk factors is imperative for reducing neonatal mortality rates. This study is the first to calculate population-attributable fractions (PAFs) for modifiable risk factors of neonatal mortality in SSA. Methods: We analysed the most recent Demographic and Health Surveys data sets from 35 SSA countries conducted between 2010 and 2022. Generalized linear latent and mixed models were used to estimate odds ratios (ORs) along with 95% confidence intervals (CIs). PAFs adjusted for communality were calculated using ORs and prevalence estimates for key modifiable risk factors. Subregional analyses were conducted to examine variations in modifiable risk factors for neonatal mortality across Central, Eastern, Southern, and Western SSA regions. Findings: In this study, we included 255,891 live births in the five years before the survey. The highest PAFs of neonatal mortality among singleton children were attributed to delayed initiation of breastfeeding (>1 h after birth: PAF = 23.88%; 95% CI: 15.91, 24.86), uncleaned cooking fuel (PAF = 5.27%; 95% CI: 1.41, 8.73), mother's lacking formal education (PAF = 4.34%; 95% CI: 1.15, 6.31), mother's lacking tetanus vaccination (PAF = 3.54%; 95% CI: 1.55, 4.92), and infrequent antenatal care (ANC) visits (PAF = 2.45; 95% CI: 0.76, 3.63). Together, these five modifiable risk factors were associated with 39.49% (95% CI: 21.13, 48.44) of neonatal deaths among singleton children in SSA. Our subregional analyses revealed some variations in modifiable risk factors for neonatal mortality. Notably, delayed initiation of breastfeeding consistently contributed to the highest PAFs of neonatal mortality across all four regions of SSA: Central, Eastern, Southern, and Western SSA. Interpretation: The PAF estimates in the present study indicate that a considerable proportion of neonatal deaths in SSA are preventable. We identified five modifiable risk factors that accounted for approximately 40% of neonatal deaths in SSA. The findings have policy implications. Funding: None.

Floods and droughts research progress and its contributions toward sustainability.

In 2015, the United Nations General Assembly launched seventeen Sustainable Development Goals (SDGs), aimed at being achieved by 2030. The SDGs 6 (clean water & sanitation) and 13 (climate actions) are two critically important goals concerning water resources that need to be addressed. This study used the Scopus database to explore climate extremes, specifically droughts and floods, in East Asia and highlight the region's efforts and contributions towards achieving SDGs 6 and 13. We found that even before the implementation of SDGs, the topics related to solving the problems of water resources, water quality, and treatment of wastewater using different conceptual models and methodologies were the main concerns in the region. The adoption of SDGs has led to a heightened focus on water and climate sustainability in East Asia, with the considerable surge in climate-related studies after 2019. Under SDG 13, all countries have contributed substantially to climate action research. Keyword analysis indicates that climate change, water management, water treatment, water quality, and adsorption remain prominent. SDGs 6 and 13 have emerged as crucial areas of focus for research and initiatives as the global community grapples with escalating water resources and climate challenges. Under specific keywords search, China has 2nd place in the search with climate and water during the SDGs period, accounting for 21 % of the entire publication from 2015 to 2023. Japan and South Korea account for of 4 % and 3 %, respectively. The research on floods and droughts has garnered significant attention, with half of the ten highly co-cited literature examining the changing pattern of drought, the influence of extreme events on crop yield, and other related topics. Despite the positive contribution of the East Asia region towards SDGs 6 and 13, there is still an urgent need for a more robust framework to improve the complex interconnections between climate actions, clean water, and sanitation for a sustainable soil-water-plant-atmosphere ecosystem.

Revolutionizing indoor air quality monitoring through IoT innovations: a comprehensive systematic review and bibliometric analysis.

Indoor air quality (IAQ) in the built environment is significantly influenced by particulate matter, volatile organic compounds, and air temperature. Recently, the Internet of Things (IoT) has been integrated to improve IAQ and safeguard human health, comfort, and productivity. This review seeks to highlight the potential of IoT integration for monitoring IAQ. Additionally, the paper details progress by researchers in developing IoT/mobile applications for IAQ monitoring, and their transformative impact in smart building, healthcare, predictive maintenance, and real-time data analysis systems. It also outlines the persistent challenges (e.g., data privacy, security, and user acceptability), hampering effective IoT implementation for IAQ monitoring. Lastly, the global developments and research landscape on IoT for IAQ monitoring were examined through bibliometric analysis (BA) of 106 publications indexed in Web of Science from 2015 to 2022. BA revealed the most significant contributing countries are India and Portugal, while the top productive institutions and researchers are Instituto Politecnico da Guarda (10.37% of TP) and Marques Goncalo (15.09% of TP), respectively. Keyword analysis revealed four major research themes: IoT, pollution, monitoring, and health. Overall, this paper provides significant insights for identifying prospective collaborators, benchmark publications, strategic funding, and institutions for future IoT-IAQ researchers.