Selecting suitable Megacity Solid Waste Disposal (MSWD) sites is a challenging task in densely populated deltas of developing countries, exacerbated by limited public awareness about waste management. One of the major environmental concerns in Dhaka City, the world\'s densest megacity, is the presence of dumps close to surface water bodies resources. This study employed the Geographic Information System (GIS)-Analytic Hierarchy Process (AHP) framework to integrate geomorphological (slope and flow accumulation), geological (lithological and lineament), hydrogeological (depth to groundwater table and surface waterbody), socioeconomic (Land use land cover, distance to settlement, road, and airport), and climatological (wind direction) determinants, coupled by land-use and hydro-environmental analyses, to map optimal dumps (MSWDO) sites. The resulting preliminary (MSWDP) map revealed 15 potential landfill areas, covering approximately 5237 hectares (ha). Combining statistical analysis of restricted areas (settlements, water bodies, land use) with AHP-based ratings, the MSWDO map revealed two optimal locations (2285 ha). Additionally, the hydro-environmental analysis confirmed the unsuitability of northern sites due to shallow groundwater (< 5.43 m) and thin clay, leaving 11 options excluded. Sites 12 (Zone A, 2255 ha) and 15 (Zone B, 30 ha), with deeper groundwater tables and thicker clay layers, emerged as optimal choices for minimizing environmental risks and ensuring effective long-term waste disposal. This study successfully integrates remote sensing, geospatial data, and GIS-AHP modeling to facilitate the development of sustainable landfill strategies in similar South Asian delta megacities. Such an approach provides valuable insights for policymakers to implement cost-effective and sustainable waste management plans, potentially minimizing the environmental risks to achieve Sustainable Development Goals (SDGs) 6, 11, 13, and 15.

OBJECTIVE: This study was conducted to examine the relationship between public health nurses\' holistic nursing and social justice advocacy competencies in terms of their attitudes toward sustainable development goals.
METHODS: Cross-sectional survey.
METHODS: The study sample consisted of 384 public health nurses.
METHODS: Data were collected with the personal information form, the Attitudes toward Sustainable Development Scale, the Holistic Nursing Competence Scale, and the Social Justice Advocacy Scale.
RESULTS: The sub-dimensions of environment, public, education, and economy were found to significantly affect social justice advocacy, and the indirect effects of 0.191, 0.222, 0.205, and 0.201 were found to be statistically significant with the inclusion of holistic nursing competence in the model, respectively. It was found to explain 32%, 30%, 29%, and 22% of the total effect, respectively.
CONCLUSIONS: It supports the claim that developing public health nurses\' holistic nursing competence and social justice advocacy skills is an important criterion for achieving sustainable development goals.

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BACKGROUND: To embed the Sustainable Development Goals in health profession education, educators must contextualise them to their profession and geographical region. This study used the nominal group technique to contextualise the SDGs for Australian nutrition and dietetics tertiary education programs by determining the specific knowledge, skills, and values required for graduating dietitians to practise sustainably.
METHODS: In 2022, 23 experts in food and sustainability attended a group session that employed the nominal group technique to discuss the Sustainable Development Goals knowledge, skills, and values Australian dietetic students should develop. After the group session, participants ranked the Sustainable Development Goals according to their perceived level of importance for student dietitians. These data were analysed using multi-methods, including a summation of the rankings, directed qualitative content analysis and reflexive thematic analysis.
RESULTS: The three highest-priority Sustainable Development Goals identified were (1) Zero Hunger, (2) Good Health and Well-Being, and (3) Responsible Consumption and Production, which were then considered with the qualitative findings. The main categories that were generated from the content analysis reflected the broad knowledge, skills, and values student dietitians should develop. The preliminary codes provided specific details for each of the main categories. The thematic analysis generated two additional themes: the importance of Indigenous ways of knowing, being and doing, and authentic experiential learning activities.
CONCLUSIONS: The method employed for this study provides a useful framework for health professions to contextualise the Sustainable Development Goals to their profession and geographical region. For this study, the ranking process and the qualitative data analysis enabled the Sustainable Development Goals to be reframed in a way that would be meaningful for dietetic educators and students and demonstrate the interrelatedness of the goals. The direct qualitative content analysis and reflexive thematic analysis identified the knowledge, skills, and values student dietitians should develop.

In line with Sustainable Development Goals (SDGs) 7 and 13, this study proposes a policy framework while considering digitalization as a critical tool in shaping the energy transition process to attain environmental suitability in OECD countries. The study employed multifaceted empirical techniques, including Method of Moment Quantile Regression (MMQR), Fully Modified Ordinary Least Squares (FMOLS), and Dumitrescu and Hurlin (D-H), augmented with robustness tests over the period 2000 to 2021. The results indicate that digitalization augments energy transition and green finance to attain environmental sustainability. However, moving toward higher quantiles (4th, 6th, and 8th), the total impact of energy transition and digitalization is diminished. Besides that, a bidirectional causal relationship was reported running from green finance and digitalization to greenhouse gas (GHG) emissions. This study offers a detailed policy framework while considering SDGs 7 and 13.

UNASSIGNED: A neonatal mortality prediction score can assist clinicians in making timely clinical decisions to save neonates\' lives by facilitating earlier admissions where needed. It can also help reduce unnecessary admissions.
UNASSIGNED: The study aimed to develop and validate a prognosis risk score for neonatal mortality within 28 days in public hospitals in the Amhara region, Ethiopia.
UNASSIGNED: The model was developed using a validated neonatal near miss assessment scale and a prospective cohort of 365 near-miss neonates in six hospitals between July 2021 and January 2022. The model\'s accuracy was assessed using the area under the receiver operating characteristics curve, calibration belt, and the optimism statistic. Internal validation was performed using a 500-repeat bootstrapping technique. Decision curve analysis was used to evaluate the model\'s clinical utility.
UNASSIGNED: In total, 63 of the 365 neonates died, giving a neonatal mortality rate of 17.3% (95% CI: 13.7-21.5). Six potential predictors were identified and included in the model: anemia during pregnancy, pregnancy-induced hypertension, gestational age less than 37 weeks, birth asphyxia, 5 min Apgar score less than 7, and birth weight less than 2500 g. The model\'s AUC was 84.5% (95% CI: 78.8-90.2). The model\'s predictive ability while accounting for overfitting via internal validity was 82%. The decision curve analysis showed higher clinical utility performance.
UNASSIGNED: The neonatal mortality predictive score could aid in early detection, clinical decision-making, and, most importantly, timely interventions for high-risk neonates, ultimately saving lives in Ethiopia.
Main findings: This prognosis risk score for neonatal mortality tested in Ethiopia had high performance accuracy and the decision curve analysis showed increased clinical utility performance.Added knowledge: The tool developed here can aid healthcare providers in identifying high-risk neonates and making timely clinical decisions to save lives.Global health impact for policy and action: The findings have the potential to be applied in local contexts to identify high-risk neonates and make treatment decisions that could improve child survival rates.

Textile dyes are frequently disposable in aqueous effluents, making it difficult to remove them from industrial effluents before their release to natural waters. This paper deals with the fabrication of cellulose-based adsorbents by reacting nanocelulose crystalline (nanocel) with N-[3-(trimethoxysilyl)propyl]ethylenediamine (TMSPEDA), forming the hybrid (silylpropyl)ethylenediamine@nanocellulose (SPEDA@nanocel), which was employed as adsorbent for the uptake of reactive yellow 2 dye (RY-2) from aqueous effluents. Characterisation of SPEDA@nanocel was carried out using FTIR, SEM-EDS, XRD, TGA, surface area, pHpzc, and hydrophobicity/hydrophilicity ratio (HI). Also, adsorption studies were thoroughly investigated. The effect of initial pH indicated that the maximum uptake of RY-2 takes place at pH 2, which is an indication of the electrostatic mechanism. The kinetic data carried out with 250 and 500 mg L-1 RY-2 with SPEDA@nanocel followed better the nonlinear fractional-like pseudo-first-order model. The t0.5 and t0.95 for the dye uptake were about 30 and 141 min, respectively. The equilibrium data from 10 to 45 °C indicated that the Liu isotherm model was the best-fitted isothermal model. The maximum sorption capacity attained was 112.3 mg g-1 at 45 °C. The thermodynamic data have shown that the equilibrium was favorable and endothermic, and the ΔH° was compatible with an electrostatic attraction between RY-2 and SPEDA@nanocel. Experiments of desorption of loaded adsorbent showed promising results for real applications since at least 5 adsorption/desorption cycles could be employed without significant changes in the recovery and with high precision.

Neglected and underutilized species of plants (NUS) have been identified by the Food and Agriculture Organization as valuable resources for fighting poverty, hunger and malnutrition as they can help make agricultural production systems more sustainable and resilient. Adaptation of NUS to changing environments over several millennia has rendered most of these plants resistant to pests and climate change. In this paper, we explore the potential values of some of the Mayan fruit trees justifying conservation efforts in their native habitats. Our research was primarily based on a scoping review using Google Scholar. We considered articles published in English, Spanish and Portuguese. Our review rendered two sets of articles including those focusing on the nutritional and medicinal properties of NUS and their products, and those focusing on their uses in traditional medicine. Both sets of papers strongly support arguments for conservation of NUS. Additionally, our scoping review expands and includes a case study on the conservation of NUS, highlighting the critical role of civil society on how it can spearhead rescue efforts of botanical resources through the creation of what is possibly the first arboretum of its kind in the Americas. Among the project\'s key selling points was not only the rescue of an important component of Yucatan\'s cultural heritage but its nutritional value as well as its potential medicinal properties. Our paper is not prescriptive on how to preserve or even commercially exploit NUS. It is intended as a thought-provoking piece on the potential of a One Health approach as a multisectoral platform to support conservation efforts, while stimulating greater interest in the subject and encouraging more action from the academic and pharmaceutical sectors as well as civil society.

The Bellagio Group for Accelerating AMR Action met in April 2024 to develop the ambitious but achievable 1-10-100 unifying goals to galvanize global policy change and investments for antimicrobial resistance mitigation: 1 Health; 10 million lives saved; and 100% sustainable access to effective antimicrobials. High profile political goals such as the Paris Agreement\'s objective to keep global warming well below 2° Celsius compared to pre-industrial levels, UNAIDS\' 90-90-90 goal, and the Sustainable Development Goals challenge global norms, direct attention towards relevant activities, and serve an energizing function to motivate action over an extended period of time. The 1-10-100 unifying goals propose to unite the world through a One Health approach to safeguard human health, animal welfare, agrifood systems, and the environment from the emergence and spread of drug-resistant microbes and infections; save over 10 million lives by 2040 through concerted efforts to prevent and appropriately treat infections while preserving the vital systems and services that depend on sustained antimicrobial effectiveness; and commit to ensuring that antimicrobials are available and affordable for all, used prudently, and secured for the future through innovation. Compared to existing technical targets, these unifying goals offer advantages of focusing on prevention, encouraging multisectoral action and collaboration, promoting health equity, recognizing the need for innovation, and integrating with Sustainable Development Goals. By committing to 1 Health, 10 million lives saved, and 100% sustainable access to effective antimicrobials, we can protect lives and livelihoods today and safeguard options for tomorrow.

The Sustainable Development Goals (SDGs) are essential measure for preserving the balance between human well-being and natural ecosystems. The benefit of preserving ecosystems health play a crucial role in promoting the SDGs by providing stable ecosystem services (ESs). However, the ecological health of mountainous cities is vulnerable, with relative low ecological resilience. To investigate the conflict between ecosystems and sustainable development, this study takes the Chengdu-Chongqing Urban Agglomeration as the study area. The major tasks and results in this study include: (1) using the entropy weighting method and the InVEST model, we combined remote sensing, geographic, and statistical data to quantify three types of SDGs (economic, social, environmental) and four ESs (water yield, soil conservation, habitat quality, carbon storage), and establish a localized sustainable development assessment framework that is applicable to the Chengdu-Chongqing Urban Agglomeration. The results show that from 2014 to 2020, the three types of SDGs exhibited an overall upward trend, with the lowest values occurring in 2016. The gap between different counties has narrowed, but significant regional differences still remain, indicating an unbalanced development status quo. Among the 142 counties, water yield and soil conservation values show a consistent downward trend but occupies significant interannual variations, while habitat quality and carbon storage values increases consistently each year. (2) using Spearman\'s nonparametric correlation analysis and multiscale geographically weighted regression model to explore the temporal variation and spatial heterogeneity of correlations between county ESs and SDGs. The results showed significant heterogeneity in the spatial trade-offs and synergies between ESs and SDGs, with two pairs of synergies weakening, seven pairs of trade-offs increasing, and the strongest negative correlation between Economic Sustainable Development Goals and habitat quality. (3) we applied the self-organizing mapping neural networks to analyze the spatial clustering characteristics of ESs-SDGs. Based on the spatial clustering effects, we divides the Chengdu-Chongqing Urban Agglomeration into four zones, and different zones have different levels of ESs and SDGs. The targeted strategies should be adopted according to local conditions. This work is of great practical importance in maintaining the stability and sustainable development of the Chengdu-Chongqing Urban Agglomeration ecosystem and provides a scientific reference for the optimal regulation of mountainous cities.