Machine Learning in Early Prediction of Metabolism of Drugs.

Machine learning (ML) has increasingly been applied to predict properties of drugs. Particularly, metabolism can be predicted with ML methods, which can be exploited during drug discovery and development. The prediction of metabolism is a crucial bottleneck in the early identification of toxic metabolites or biotransformation pathways that can affect elimination of the drug and potentially hinder the development of future new drugs. Metabolism prediction can be addressed with the application of ML models trained on large and validated dataset, from early stages of lead optimization to latest stage of drug development. ML methods rely on molecular descriptors that allow to identify and learn chemical and molecular features to predict sites of metabolism (SoMs) or activity associated with mechanism of inhibition (e.g., CYP inhibition). The application of ML methods in the prediction of drug metabolism represents a powerful resource to be exploited during drug discovery and development. ML allows to improve in silico screening and safety assessments of drugs in advance, steering their path to marketing authorization. Prediction of biotransformation reactions and metabolites allows to shorten the time, save the cost, and reduce animal testing. In this context, ML methods represent a technique to fill data gaps and an opportunity to reduce animal testing, calling for the 3R principles within the Big Data era.

Optimizing sustainable development in arid river basins: A multi-objective approach to balancing water, energy, economy, carbon and ecology nexus.

The ongoing water crisis poses significant threats to the socioeconomic sustainability and ecological security of arid and semi-arid river basins. Achieving Sustainable Development Goals (SDGs) within a complex socio-ecological nexus requires effective and balanced resource management. However, due to the intricate interactions between human societies and environmental systems, the tradeoffs and synergies of different SDGs remain unclear, posing a substantial challenge for collaborative management of natural resources. Here we introduce a gray fractional multi-objective optimization (GFMOP) model to balance multi-dimensional SDGs through a novel water-energy-economy-carbon-ecology nexus perspective. The model was applied to a typical arid river basin in Northwest China, where thirty-two scenarios were explored, considering factors such as shared socioeconomic pathways, carbon removal rates, water conveyance efficiencies, and ecological requirements. The results reveal a strong tradeoff between marginal benefit and carbon emission intensity, indicating that improving the economic efficiency of water use can simultaneously reduce emissions and protect the environment. Given the immense power generation potential, wind power development should be prioritized in the future, with its share in the energy structure projected to increase to 23.3% by 2060. Furthermore, promoting carbon capture technologies and expanding grassland coverage are recommended to achieve regional carbon neutrality, contributing 39.5% and 49.1% to carbon absorption during 2021-2060, respectively. Compared with traditional single-objective models, GFMOP demonstrates a superiority in uncovering interrelationships among multiple SDGs and identifying compromised alternatives within the compound socio-ecological nexus. The model also provides detailed strategies for resource allocation and pollutant control, offering valuable guidance to policymakers and stakeholders in pursuing sustainable and harmonious watershed management.

Lens Thickness in Infants and Children with Cataracts.

Purpose: The purpose of this study was to determine the association between lens thickness and cataract in participants aged 0 to 5 years. Design: This was a prospective, multicenter, case-control study. Participants: We enrolled 118 participants (171 eyes) aged 0 to 5 years, mean age 14.6 ± 17.0 months, range 0 to 60 months. Methods: Lens thickness was measured on 342 ultrasound biomicroscopy (UBM) images. Main Outcome Measures: Lens thickness; feasibility of lens thickness measurement from UBM images. Results: The mean lens thickness among noncataracts was 3.60 ± 0.17 mm, compared with 3.16 ± 0.61 mm among cataracts (P < 0.0001). Lens thickness <3.5 mm was significantly associated with increased odds of cataract; adjusted odds ratio = 5.99 (95% confidence interval, 2.41-14.88; P < 0.0003) among participants age 0 to 7 months. Lens thickness was significantly associated with cataract laterality among participants age 0 to 7 months (P < 0.0001). Conclusions: Quantitative UBM can be used to evaluate lens thickness in infants and children with congenital cataracts. The lens in congenital cataract eyes was thinner than that of controls among infants. Abnormal lens thickness was significantly associated with cataract. Future longitudinal studies will examine the association between lens thickness and postcataract surgery outcomes. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Lens Regeneration: The Application of iSyTE and In Silico Approaches to Evaluate Gene Expression in Lens Organoids.

Several protocols have been established for the generation of lens organoids from embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs), and other cells with regenerative potential in humans or various animal models. It is important to examine how well the regenerated lens organoids reflect lens biology, in terms of its development, homeostasis, and aging. Toward this goal, the iSyTE database (integrated Systems Tool for Eye gene discovery; https://research.bioinformatics.udel.edu/iSyTE/ ), a bioinformatics resource tool that contains meta-analyzed gene expression data in wild-type lens across different embryonic, postnatal, and adult stages, can serve as a resource for comparative analysis. This article outlines the approaches toward effective use of iSyTE to gain insights into normal gene expression in the mouse lens, enriched expression in the lens, and differential gene expression in select mouse gene-perturbation cataract/lens defects models, which in turn can be used to evaluate expression of key lens-relevant genes in lens organoids by transcriptomics (e.g., RNA-sequencing (RNA-seq), microarrays, etc.) or other downstream methods (e.g., RT-qPCR, etc.).

Acquisition and Analysis Methods for Hi-C Data from Medaka Early Embryos.

The three-dimensional (3D) structure of the genome undergoes dynamic changes during the developmental process. While Hi-C is a technique that enables the acquisition of genome 3D structure data across various species and cell types, existing Hi-C analysis programs may face challenges in detecting and comparing structures effectively depending on the characteristics of the genome or cell type. Here, we describe a method for acquiring Hi-C data from medaka early embryos and quantifying the structural changes during the developmental process.

Evaluating complementaries among urban water, energy, infrastructure, and social Sustainable Development Goals in China.

Urban areas' performance in water, energy, infrastructure, and socio-economic sectors is intertwined and measurable through Sustainable Development Goals (SDGs) 6-13. Effective synergy among these is critical for sustainability. This study constructs an indicator framework that reflects progress towards these urban SDGs in China. Findings indicate underperformance in SDGs 8-11, suggesting the need for transformative actions. Through network analysis, the research reveals complementarities among these SDGs. Notably, the SDG space divides into socio-economic and ecological clusters, with SDG 6 (Clean Water and Sanitation) central to both. Additionally, SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure) act as bridges, while greater synergies exist between SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action). An in-depth view at the indicator-level shows a core-periphery structure, emphasizing indicators like SDG 6.2 (Wastewater Treatment Rate) and SDG 6.6 (Recycled Water Production Capacity per capita) as pivotal. This study confirms the urban SDG space's stability and predictiveness, underscoring its value in steering well-aligned policy decisions for sustainable growth.

Micro-bacterial assessment of disposable gowns with a focus on green endoscopy in gastrointestinal endoscopy procedures: A Japanese pilot study for healthcare waste reduction.

Objective: This study aimed to implement green endoscopy through the microbiological assessment of gowning techniques during endoscopy to reduce carbon emissions and separate medical waste. Methods: Twenty-five patients who performed esophagogastroduodenoscopy from March to May 2024 were included in this study. Four sections of the isolation gowns (anterior, posterior, right, and left) were cut into 2 cm2 after endoscopy, and the rate of microbial contamination was examined using the stamp method. Results: The endoscopic examination time was 8 min (6-12), and endoscopy was performed by 10 expert endoscopists, six endoscopists, and nine residents. The overall isolation gown contamination rate was 56%, with 25%, 20.8%, 20.8%, and 33.3% in the front, back, as well as right and left arms, respectively. The rates of isolation gown contamination rates in the expert endoscopists, endoscopists, and residents groups were 30%, 50%, and 77.8%, respectively, with a higher rate in the residents group. Regardless of the physician's performance, bacterial detection was consistently higher in the left arm (42.9% vs. 40% vs. 25%; p = 0.093). The detected bacteria comprised 58% Gram-positive and 42% Gram-negative organisms, including those from tap water used for endoscopy bacteria and obtained from the participant's skin or mouth. No pathogenic organisms were detected. Conclusions: The bacteria detected in disposable gowns after gastrointestinal endoscopy were non-pathogenic. Thus, our findings suggest that changing all personal protective equipment of respective endoscopes might not be essential. We advocate for green endoscopy to achieve sustainable development goals and reduce medical waste.

Development and application of a nitrogen oxides analyzer based on the cavity attenuated phase shift technique.

Nitrogen oxides (NOx) are crucial in tropospheric photochemical ozone (O3) production and oxidation capacity. Currently, the widely used NOx measurement technique is chemiluminescence (CL) (CL-NOx), which tends to overestimate NO2 due to atmospheric oxidation products of NOx (i.e., NOz). We developed and characterized a NOx measurement system using the cavity attenuated phase shift (CAPS) technique (CAPS-NOx), which is free from interferences with nitrogen-containing species. The NOx measured by the CAPS-NOx and CL-NOx analyzers were compared. Results show that both analyzers showed consistent measurement results for NO, but the NO2 measured by the CAPS-NOx analyzer (NO2_CAPS) was mostly lower than that measured by the CL-NOx analyzer (NO2_CL), which led to the deviations in O3 formation sensitivity regime and Ox (= O3 + NO2) sources (i.e., regional background and photochemically produced Ox) determined by the ozone production efficiencies (OPE) calculated from NO2_CL and NO2_CAPS. Overall, OPE_CL exceeded OPE_CAPS by 18.9%, which shifted 3 out of 13 observation days from the VOCs-limited to the transition regime when judging using OPE_CL, as compared to calculations using OPE_CAPS. During the observation period, days dominated by regional background Ox accounted for 46% and 62% when determined using NO2_CL and NO2_CAPS, respectively. These findings suggest that the use of the CL-NOx analyzer tends to underestimate both the VOCs-limited regime and the regional background Ox dominated days. The newly built CAPS-NOx analyzer here can promote the accurate measurement of NO2, which is meaningful for diagnosing O3 formation regimes and Ox sources.

Estudo longitudinal de famílias / Longitudinal study of families / Estudio longitudinal de familias

Introdução: O desenvolvimento da família é influenciado por diversos fatores de sua organização interna e de ordem ambiental, social, cultural, econômica e política. Em contexto de pobreza os riscos são maiores. Fatores de proteção, como boa organização familiar e rede social de apoio podem diminuir as consequências negativas da pobreza. São escassas as pesquisas longitudinais sobre vulnerabilidade e resiliência nas famílias. Objetivo: Este artigo descreve o desenvolvimento de três famílias ao longo de 15 anos, estudadas por meio de entrevistas em casa, parte de uma coorte populacional de um bairro de Porto Alegre (RS). Buscaram-se associações entre a qualidade das relações nessas famílias e sua saúde física e mental, especialmente a do filho, foco da pesquisa. Métodos: Selecionaram-se no arquivo da pesquisa as três primeiras famílias (do total de 148) das quais se tinham os resultados completos das cinco visitas realizadas aos quatro meses e aos dois, quatro, nove e 15 anos de um filho. Realizou-se análise qualitativa dos registros em busca de categorias para compreender a vida e as relações interpessoais nas famílias. O estudo foi realizado em conjunto por duas pesquisadoras, médicas especialistas em desenvolvimento humano. As categorias identificadas na análise e estudadas nas cinco etapas foram: configuração familiar, situação socioeconômica, situações traumáticas, saúde física, saúde relacional e mental, evolução cognitiva e escolar do filho. Resultados: As três famílias, todas de classe C, com filhos sem problemas de saúde física, tiveram evolução suficientemente boa, apesar de todas enfrentarem múltiplos problemas, inclusive separações e mortes precoces. A relação com o sistema de saúde e escola era boa e similar para as três. A jovem com menos problemas de saúde mental foi aquela que sofreu perdas mais importantes: morte dos pais. Tinha uma estrutura familiar multigeracional sólida desde a primeira infância, com relações interpessoais predominantemente colaborativas e amorosas. Conclusões: O artigo busca avançar na compreensão da resiliência nas famílias em situações de vulnerabilidade. Concluímos que essas três famílias, uma delas mais que as outras, foram suficientemente saudáveis na tarefa de educar seus filhos sem desenvolverem problemas mentais graves. Propomos que o bom desenvolvimento se associa com a adequação e amorosidade dos cuidados com a etapa do ciclo vital, mesmo enfrentando situações problemáticas. Essas qualidades precisam estar associadas à estabilidade socioeconômica básica e a bons serviços de saúde e escola.

Introduction: Family development is influenced by it's internal organization and environmental factors, socioeconomic, cultural and political. In poor contexts there are more risks to development. Protection factors like good family organization and social network may decrease the risks. Longitudinal research about vulnerability and resilience in families is scarse. Objective: This article describes the development of three families over 15 years through interviews at home. The families were part of a populational cohort of a neighborhood in Porto Alegre (RS). We looked for links between the quality of relationships and the physical and mental health of these families, especially of the child focus of the research. Methods: We selected in the research archives the first three families (of a total of 148) for which we had full results of the five interviews at four months and two, four, nine and fifteen years of a child. We did a qualitative analysis of the records looking for parameters to understand the life and interpersonal relationships of these families. This study was done by two researchers, both experts in Human Development. The categories identified in the analysis of the five phases were: family structure, socioeconomic situation, traumatic experiences, physical, mental and relational health and cognitive evolution of the child. Results: All three families belonged to economical class C. The children were in good physical health and had sufficiently good general development, having faced multiple problems, including parental separation and early parental death. The relationship with the health and school systems was good in all of them. The youth with less mental health problems was the one who suffered the heaviest loss: early death of both parents. Her family had strong multigenerational ties since her early days, with predominant collaborative and loving relationships. Conclusions: This article aims to contribute to the comprehension of resilience in families in the context of vulnerability. We can say that these three families were healthy enough in the task of bringing up children without any serious mental health problem. We suggest that healthy development is associated with loving interfamily relationships adequate to each phase of development, notwithstanding dramatic events. This needs to be supported by basic economic stability and adequate school and health systems.

Introducción: El desarrollo de la familia es influenciado por su organización interna y factores ambientales, sociales, culturales, económicos y políticos. En contextos pobres los riesgos son mayores. Factores de protección como buena organización familiar y red social de apoyo pueden disminuir las consecuencias negativas de la pobreza. Son pocas las investigaciones longitudinales de vulnerabilidad y resiliencia de las familias. Objetivo: Este artículo describe el estudio del desarrollo de tres familias a lo largo de 15 años, a través de entrevistas en domicilio, parte de una cohorte poblacional de un barrio de Porto Alegre (RS). Se buscaron correlaciones entre la calidad de las relaciones de esas familias y su salud física y mental, especialmente la del hijo foco de la investigación. Métodos: Fueron seleccionadas en el archivo de la investigación las tres primeras familias (de un total de 148) de las cuales se tenían los resultados completos de las cinco visitas realizadas, a los 4 meses, y a los 2, 4, 9, y 15 años de un hijo. Fue realizado un análisis cualitativo de los registros en busca de categorías para comprender la vida y las relaciones interpersonales en las familias. El estudio fue hecho en conjunto por dos investigadoras, médicas especialistas en desarrollo humano. Las categorías identificadas en el análisis y estudiadas en las cinco etapas fueron: configuración familiar, situación socioeconómica, situaciones traumáticas, salud física, salud relacional y mental, evolución cognitiva y escolar del hijo. Resultados: Las tres familias, todas de clase C, con hijos sin problemas de salud física, tuvieron evolución suficientemente buena, a pesar de que todas enfrentaron múltiples problemas, incluso separaciones y muertes precoces. La relación con el sistema de salud y escuela era buena y similar para las tres. La joven con menos problemas de salud mental fue aquella que sufrió las mayores pérdidas: muerte de los padres. Tenía una estructura familiar multigeneracional sólida desde la primera infancia, con relaciones interpersonales predominantemente colaborativas y amorosas. Conclusiones: El artículo pretende avanzar en la comprensión de la resiliencia en las familias en situaciones de vulnerabilidad. Concluimos que esas tres familias, una de ellas más que las otras, fueron suficientemente saludables en la tarea de educar a sus hijos sin que desarrollaran problemas mentales graves. Proponemos que el buen desarrollo se asocia con el amor y adecuación de los cuidados a la etapa del ciclo vital, aun enfrentando situaciones problemáticas. Esas calidades necesitan estar asociadas a la estabilidad socioeconómica básica y buenos servicios de salud y escuela.

Design and Implementation of a Desorption Electro-flow Focusing Sprayer on an Orbitrap Mass Spectrometer for DESI Mass Spectrometry Imaging at High Spatial Resolution and at High Speed.

Since desorption electrospray ionization mass spectrometry (DESI-MS) was first presented in 2004, the fundamental design of the sprayer has undergone relatively minor modifications. This changed in 2022 when Takats and co-workers implemented the desorption electro-flow focusing (DEFFI) sprayer design by modifying the sprayer from a commercial DESI system, leading to significantly improved spatial resolution and robustness compared with the traditional DESI-MSI sprayer design. Here, we present the design of a new DEFFI sprayer that can be built from standard fittings and connectors in combination with an aluminum spray head that can be machined in most mechanic workshops. The new design represents a cost-efficient approach to improved DESI-MSI on mass spectrometers from all vendors, including high-resolution instruments such as Orbitraps and FT-ICR. The new DEFFI sprayer is demonstrated on a QExactive Orbitrap mass spectrometer, resulting in a massively improved ion yield compared with the classic DESI sprayer. The improved ion yield enables DESI-MSI at ion injection times down to 5 ms, allowing for DESI-MSI at a potentially very high speed. More importantly, the DEFFI sprayer delivers a more robust and focused spray, which is easier to use and requires less optimization. It provides high spatial resolution with limited effort compared with previous modifications of the traditional DESI design. Imaging of rat testis was performed at pixel sizes down to 12 µm, suggesting a spatial resolution of approximately 30 µm, which may have potential for further improvement.

LiveLattice: Real-time visualisation of tilted light-sheet microscopy data using a memory-efficient transformation algorithm.

Light-sheet fluorescence microscopy (LSFM), a prominent fluorescence microscopy technique, offers enhanced temporal resolution for imaging biological samples in four dimensions (4D; x, y, z, time). Some of the most recent implementations, including inverted selective plane illumination microscopy (iSPIM) and lattice light-sheet microscopy (LLSM), move the sample substrate at an oblique angle relative to the detection objective's optical axis. Data from such tilted-sample-scan LSFMs require subsequent deskewing and rotation for proper visualisation and analysis. Such data preprocessing operations currently demand substantial memory allocation and pose significant computational challenges for large 4D dataset. The consequence is prolonged data preprocessing time compared to data acquisition time, which limits the ability for live-viewing the data as it is being captured by the microscope. To enable the fast preprocessing of large light-sheet microscopy datasets without significant hardware demand, we have developed WH-Transform, a memory-efficient transformation algorithm for deskewing and rotating the raw dataset, significantly reducing memory usage and the run time by more than 10-fold for large image stacks. Benchmarked against the conventional method and existing software, our approach demonstrates linear runtime compared to the cubic and quadratic runtime of the other approaches. Preprocessing a raw 3D volume of 2 GB (512 × 1536 × 600 pixels) can be accomplished in 3 s using a GPU with 24 GB of memory on a single workstation. Applied to 4D LLSM datasets of human hepatocytes, lung organoid tissue and brain organoid tissue, our method provided rapid and accurate preprocessing within seconds. Importantly, such preprocessing speeds now allow visualisation of the raw microscope data stream in real time, significantly improving the usability of LLSM in biology. In summary, this advancement holds transformative potential for light-sheet microscopy, enabling real-time, on-the-fly data preprocessing, visualisation, and analysis on standard workstations, thereby revolutionising biological imaging applications for LLSM and similar microscopes.

Development of white matter in young adulthood: The speed of brain aging and its relationship with changes in fractional anisotropy.

White matter (WM) development has been studied extensively, but most studies used cross-sectional data, and to the best of our knowledge, none of them considered the possible effects of biological (vs. chronological) age. Therefore, we conducted a longitudinal multimodal study of WM development and studied changes in fractional anisotropy (FA) in the different WM tracts and their relationship with cortical thickness-based measures of brain aging in young adulthood. A total of 105 participants from the European Longitudinal Study of Pregnancy and Childhood (ELSPAC) prenatal birth cohort underwent magnetic resonance imaging (MRI) at the age of 23-24, and the age of 28-30 years. At both time points, FA in the different WM tracts was extracted using the JHU atlas, and brain age gap estimate (BrainAGE) was calculated using the Neuroanatomical Age Prediction using R (NAPR) model based on cortical thickness maps. Changes in FA and the speed of cortical brain aging were calculated as the difference between the respective variables in the late vs. early 20s. We demonstrated tract-specific increases as well as decreases in FA, which indicate that the WM microstructure continues to develop in the third decade of life. Moreover, the significant interaction between the speed of cortical brain aging, tract, and sex on mean FA revealed that a greater speed of cortical brain aging in young adulthood predicted greater decreases in FA in the bilateral cingulum and left superior longitudinal fasciculus in young adult men. Overall, these changes in FA in the WM tracts in young adulthood point out the protracted development of WM microstructure, particularly in men.

Effect of ecoliteracy on farmers' participation in pesticide packaging waste governance behavior in rural North China.

Farmers' participation in pesticide packaging waste (PPW) governance is important for improving agricultural pollution and achieving sustainable agricultural development. By incorporating the theory of planned behavior, value-belief-norm theory, cognition and behavior theory etc., we construct a theoretical model comprising "ecoliteracy-farmers' WTP in PPW governance-participation in PPW governance behavior." This study investigates how ecoliteracy affects farmers' participation in PPW governance and explores the mediating effect of farmers' willingness to participate (WTP) in PPW governance. We use structural equation modeling to analyze data collected from a questionnaire survey including 1118 samples of Chinese farmers. The results show that (1) Ecoliteracy significantly affects farmers' WTP in PPW governance. Ecological cognition, emotion, values, and knowledge and skills positively affect WTP in PPW governance, while ecological cognition and ecological knowledge and skills significantly affect participation in PPW governance behavior. (2) Farmers' WTP in PPW governance mediates ecoliteracy and governance participation behavior. (3) Heterogeneity analysis reveals that different planting scales, different planting categories, and receiving/not receiving government project support have different effects on farmers' participation in governance behavior. Farmers in the large-scale group are more likely to participate in governance than those in the medium- and small-scale groups, and farmers in the mixed grain and economic category are more likely to participate in governance than those in the economic and grain categories. Furthermore, farmers who receive government support are more likely to participate in governance than those who do not. Our results can serve as a policy making reference for promoting PPW governance in various regions.

Auditing road safety achievement using MEREC-ARAS-QBKM model: an empirical study for APEC member economies.

Progress monitoring and action recalibrations are advocated as promising methods for improving road safety, which significantly relates to economic stability and social development. To achieve this, an auditing framework that can evaluate road safety and aid in policymaking is urgently required. To this end, this study developed a systemic decision model that integrates the method based on the removal effects of criteria (MEREC), additive ratio assessment (ARAS), and quantile-based k-means clustering (QBKM), termed MEREC-ARAS-QBKM, with the aim of auditing road safety achievements and providing corresponding policy suggestions with substantial reliability. In particular, the performance of the traditional k-means clustering model was improved by implanting quantiles to determine the initial clustering, which overcomes the uncertainty of k-means clustering owing to the variety of initial cluster centers. Multiple comparisons of empirical results based on a case study of the Asia-Pacific Economic Cooperation (APEC) member economies verified the robustness of the proposed model, demonstrating its applicability, practicability, and reliability in handling real-world multi-criteria decision-making problems in the field of road safety. The empirical findings show that road safety developments among the APEC countries are of class differentiation, suggesting an urgent regional benchmarking. Overall, the proposed methodology empowers decision-makers and policymakers in APEC to swiftly formulate effective action plans, countermeasures, and investment schemes, ultimately contributing to the enhancement of road safety performance and socio-economic benefit across APEC members.

Climate and conflict-induced child nutrition crisis in Sub-Saharan Africa.

This commentary explores the intersection between climate, conflict, and child nutrition, highlighting the severe child nutrition crisis in Sub-Saharan Africa exacerbated by climate change and ongoing conflicts. Shifting climate patterns disrupt agricultural productivity and food security, while persistent conflicts displace populations and destroy infrastructure, significantly increasing food insecurity and malnutrition among children. Recent UNICEF data indicates that 1 in 4 children globally live in severe food poverty, with those affected up to 50% more likely to suffer from life-threatening malnutrition. Over half a billion children reside in areas prone to climate-related extreme weather events, challenging food production, distribution, and access. Extreme weather events have led to crop failures, food shortages, and price spikes, disproportionately affecting vulnerable populations. Changes in temperature and precipitation patterns also alter the nutritional content of crops, worsening nutritional challenges. Conflicts in SSA have led to a food crisis of unprecedented scale, with over 80% of the 137 million Africans facing acute food insecurity located in conflict-affected countries. The conflict between Russia and Ukraine has further disrupted global food and fertilizer supply chains, exacerbating food shortages and inflation in many African countries. Addressing this crisis requires a multifaceted approach integrating evidence-based, cost-effective strategies. This commentary advocates for the adoption of the 3 C approach-climate-smart school feeding programs, cultivation of edible insects, and community-based food hubs-as solutions to enhance child nutrition and build climate resilience.

Behavioral observation and assessment protocol for language and social-emotional development study in children aged 0-6: the Chinese baby connectome project.

BACKGROUND: The global rise in developmental delays underscores the critical need for a thorough understanding and timely interventions during early childhood. Addressing this issue, the Chinese Baby Connectome Project (CBCP)'s behavior branch is dedicated to examining language acquisition, social-emotional development, and environmental factors affecting Chinese children. The research framework is built around three primary objectives: developing a 0-6 Child Development Assessment Toolkit, implementing an Intelligent Coding System, and investigating environmental influence. METHODS: Utilizing an accelerated longitudinal design, the CBCP aims to enlist a minimum of 1000 typically developing Chinese children aged 0-6. The data collected in this branch constitutes parental questionnaires, behavioral assessments, and observational experiments to capture their developmental milestones and environmental influences holistically. The parental questionnaires will gauge children's developmental levels in language and social-emotional domains, alongside parental mental well-being, life events, parenting stress, parenting styles, and family relationships. Behavioral assessments will involve neurofunctional developmental evaluations using tools such as the Griffiths Development Scales and Wechsler Preschool and Primary Scale of Intelligence. Additionally, the assessments will encompass measuring children's executive functions (e.g., Head-Toe-Knee-Shoulder), social cognitive abilities (e.g., theory of mind), and language development (e.g., Early Chinese Vocabulary Test). A series of behavior observation. experiments will be conducted targeting children of different age groups, focusing primarily on aspects such as behavioral inhibition, compliance, self-control, and social-emotional regulation. To achieve the objectives, established international questionnaires will be adapted to suit local contexts and devise customized metrics for evaluating children's language and social-emotional development; deep learning algorithms will be developed in the observational experiments to enable automated behavioral analysis; and statistical models will be built to factor in various environmental variables to comprehensively outline developmental trajectories and relationships. DISCUSSION: This study's integration of diverse assessments and AI technology will offer a detailed analysis of early childhood development in China, particularly in the realms of language acquisition and social-emotional skills. The development of a comprehensive assessment toolkit and coding system will enhance our ability to understand and support the development of Chinese children, contributing significantly to the field of early childhood development research. TRIAL REGISTRATION: This study was registered with clinicaltrials.gov NCT05040542 on September 10, 2021.

Promotion and Tenure Database Creation and Utilization: A 12-Year History.

Trends in faculty demographic composition, promotion success, and retention are important considerations in Academic Health Centers (AHC). This paper reviews the design, implementation, and utility of a faculty promotion and tenure (P&T) database (PROMO/TE©) over 12 years in a large southwestern academic health center. Review of the system design, portfolio creation, P&T tracking, interface with other faculty databases, and lessons learned will be offered. PROMO/TE© was developed to improve the P&T packet creation, application, and review process in one College and was expanded to other colleges at the AHC. The PROMO/TE© system is integrated with Workday® and FACFACTS© to track trends in recruitment, attrition, and P&T trends across gender, underrepresented minorities, and other subgroups. PROMO/TE© has several advantages including improving communication, transparency, uniformity, and efficiency in the P&T packet creation, application, and review process. Increased cost savings ($217,198 annually) were noted with elimination of hard copy packets and decreased time spent. The first college reviewed 743 dossiers in the PROMO/TE© system since its creation in 2012 and there has been on average a 10% increase in P&T approvals since its inception. PROMO/TE© facilitates and tracks trends in the P&T process and has many benefits as well as significant cost savings. PROMO/TE© serves as a potential model for other institutions.

Patterns of girdle shape and their correlates in Australian limb-reduced skinks.

The evolution of limb reduction in squamates is a classic example of convergence, but the skeletal morphological patterns associated with it are underexplored. To provide insights on the biomechanical and developmental consequences of transitions to limb reduction, we use geometric morphometrics to examine the morphology of pectoral and pelvic girdles in 90 species of limb-reduced skinks and their fully limbed relatives. Clavicle shapes converge towards an acute anterior bend when forelimbs are lost but hindlimbs are retained-a morphology typical of sand-swimmers. This may either indicate functional adaptations to locomotion in fine substrates, or a developmental consequence of complete limb loss. The shape of limb-bearing elements of both girdles (coracoid and pelvis) instead closely mirrors limb reduction, becoming more simplified as undulation replaces limbed locomotion. Integration between girdles decreases in taxa lacking elements of the forelimbs but not hindlimbs, indicating differential selection on each girdle in response to distinct locomotory strategies. However, this pattern becomes less clear when considering phylogenetic history, perhaps because it is limited to one specific clade (Lerista). We show how the functional demands of locomotion can induce changes at different levels of organismal organization, including both external and internal structures.

Revealing dynamic goals for university's sustainable development with a coupling exploration of SDGs.

The sustainability of universities is important to realize global SDGs. However, there is a lack of research on the internal dynamic relationship of the SDGs in universities. This study aims to deep tap the dynamic mechanism and scientific core connotation of the relationship among the environmental, economic, and social dimensions in the sustainable development of the top 100 universities ranked by the Times Higher Education Impact Rankings, in order to point out the specific action direction in line with their characteristics. This study adopts coupling model, Sustainable Development Triangle model, and Grey Relational Analysis to learn the development system and the main development dynamic goals of universities on five continents. The results show that the development of the top sustainable universities in the five continents is very uneven with three echelons of development in the world. Although the sustainability quality in the world has improved year by year, the sub-quality of sustainability of the top universities on each continent is obviously different. The sustainable coupling degrees of the top universities of the five continents are increasing, but the overall coupling strength is not high. The development of coupling is at the level of weak coordination. SDG12 is the main dynamic goal for the top universities in Asia and America, SDG6 is for Europe and Oceania, and SDG3 is for Africa.

Spatiotemporal coupling analysis between green total factor productivity and urban e-commerce development in China's eight urban clusters.

The coordinated development of urban e-commerce and green total factor productivity (GTFP) plays a crucial role in achieving high-quality development. This paper selects relevant data from the eight major urban agglomerations in China for research. A model that described the coupling coordination between the regions' GTFP and urban e-commerce was presented. Then, unfold the spatiotemporal evolution characteristics of their coupling coordination from the "dynamic and static", "overall and regional" dimensions. The results indicate: (1) The coupling coordination degree between two systems within China's eight urban agglomerations exhibits an upward trend with fluctuations, transitioning from a state of near dysfunction to good coordination. (2) The spatial heterogeneity in the coupling coordination degree between the two systems in China's eight major urban agglomerations is evident, with an overall downward trend and exhibiting a "V-shaped" pattern of "decline-rise".(3) The coupling coordination degree between two systems across China's eight urban agglomerations exhibits a trend toward centralization, with an amelioration of bipolar differentiation, and a progressive attenuation of spatial heterogeneity.