Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights.

The advent of smart cities has brought about a paradigm shift in urban management and citizen engagement. By leveraging technological advancements, cities are now able to collect and analyze extensive data to optimize service delivery, allocate resources efficiently, and enhance the overall well-being of residents. However, as cities become increasingly interconnected and data-dependent, concerns related to data privacy and security, as well as citizen participation and representation, have surfaced.

A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images.

Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies have already conducted research on image-based weather recognition. However, previous studies have addressed few types of weather phenomena recognition from images with insufficient accuracy.

Strontium isoscape of sub-Saharan Africa allows tracing origins of victims of the transatlantic slave trade.

Strontium isotope (Sr/Sr) analysis with reference to strontium isotope landscapes (Sr isoscapes) allows reconstructing mobility and migration in archaeology, ecology, and forensics. However, despite the vast potential of research involving Sr/Sr analysis particularly in Africa, Sr isoscapes remain unavailable for the largest parts of the continent. Here, we measure the Sr/Sr ratios in 778 environmental samples from 24 African countries and combine this data with published data to model a bioavailable Sr isoscape for sub-Saharan Africa using random forest regression.

Environmental Conditions Modulate Warming Effects on Plant Litter Decomposition Globally.

Empirical studies worldwide show that warming has variable effects on plant litter decomposition, leaving the overall impact of climate change on decomposition uncertain. We conducted a meta-analysis of 109 experimental warming studies across seven continents, using natural and standardised plant material, to assess the overarching effect of warming on litter decomposition and identify potential moderating factors. We determined that at least 5.

Interspecific association of herbaceous plant communities on different slope orientations and at different altitudes in central Yunnan grasslands.

Aims: Understanding the response of herbaceous plants to habitat changes and the mechanisms of vegetation succession is crucial to the theoretical foundation of the conservation of local vegetation.

Methods: Plots were established at elevations of 1900-2200m, 2200-2500m, and 2500-2800m on both shady and sunny slopes. Four statistical methods 2×2 contingency table χ-test, Spearman's rank correlation coefficient, AC joint coefficient, 17 and Ochiai Index, were employed to analyze the species composition and interspecific associations within each elevation band and aspect.

Relevance of diet in schizophrenia: a review focusing on prenatal nutritional deficiency, obesity, oxidative stress and inflammation.

Background/objectives: Schizophrenia is a complex mental disorder influenced by genetic and environmental factors, including dietary habits. Oxidative stress and inflammation play a crucial role in the pathophysiology of schizophrenia. Emerging research suggests that diet may affect schizophrenia through different biological mechanisms beyond oxidative stress and inflammation.

Deposition behaviors and interfacial interaction mechanism between carboxyl-modified polystyrene nanoplastics and magnetite in aquatic environment.

In aquatic environments, the deposition behaviors of nanoplastics (NPs) are closely associated with interfacial interaction between NPs and iron (hydr)oxides minerals, which are typically coupled with solution chemistry and organic matter. However, the roles of solution chemistry and organic matter in the deposition behavior of NPs with iron (hydr)oxides minerals and related interfacial interaction mechanism are still poorly understood. In this study, the deposition behaviors of carboxyl-modified polystyrene nanoparticles (COOH-PSNPs) with magnetite were systematically investigated.

Context matters: Placing the sociopolitical context into research on enclave-health effects and immigration enforcement.

County governments across the U.S. adopt varied immigrant-related policies that facilitate or hinder immigrant inclusion.

Research on the evolutionary characteristics and mechanism of production-living-ecological space in Shanxi Province, China.

An investigation of the evolutionary characteristics and internal driving mechanisms of territorial space since the reform and opening up is essential. The study will guide the orderly development and rational layout of territorial space, as well as achievement transformation and high-quality development in Shanxi Province. We used land use data from 1980 to 2020, which was divided into four periods, to examine the changes in production-living-ecological spatial pattern in Shanxi Province.

Effects of water-fertiliser coupling on the photosynthesis and quality of Lycium barbarum based on predicted crop evapotranspiration (ET).

Lycium barbarum is an important economic crop in the arid region of Northwest China, and the regulation of irrigation and fertilisation is an important way to improve the quality and yield of Lycium barbarum. To explore the effects of water-fertiliser coupling on photosynthesis, quality and yield of Lycium barbarum under irrigation methods based on predicted crop evapotranspiration (ET), ET was calculated via reference evapotranspiration (ET) predicted on the basis of public weather forecasts, and the irrigation water volume was determined as a proportion of this ET. A field experiment was conducted via a completely randomised experimental design with five irrigation water volumes (W0 (100% ET), W1 (90% ET), W2 (80% ET), W3 (70% ET) and W4 (65% ET)) and three fertiliser application rates (high fertiliser (FH), medium fertiliser (FM) and low fertiliser (FL)).

Driving mechanism of urban expansion in the Bohai Rim urban agglomeration from the perspective of spatiotemporal dynamic analysis.

The urban agglomeration represents the predominant form of new urbanisation, yet the evolution of its internal spatial structure exhibits pronounced spatial and temporal heterogeneity. This study concentrates on the Bohai Rim urban agglomeration, one of three major urban agglomerations in China, which has received comparatively limited research attention but has also undergone substantial urbanisation. Therefore, we reassessed and explored the spatial-temporal evolution of the spatial structure of urban expansion using Exploratory Spatiotemporal Data Analysis (ESTDA), and summarized the driving mechanisms using Geographically and Temporally Weighted Regression (GTWR).

Assessment of coupling coordinated degree and driving mechanism of population-resource-environment-economy (PREE) system in Yellow River Basin, China.

Rapid urbanization and industrialization in China have brought economic growth and improved living standards, while environmental degradation and resource overexploitation occurred simultaneously. Yellow River Basin (YRB) also faces priorities of ecological protection and high-quality development. Therefore, it is essential for YRB to coordinate the relationship between socioeconomic and eco-environment.

Cost-effectiveness analysis of proactive home visits compared with site-based community health worker care on antenatal care outcomes in Mali: a cluster-randomised trial.

Introduction: Despite recommendations from the WHO, antenatal care (ANC) coverage remains low in many low-income and middle-income countries (LMICs). Community health workers (CHWs) can play an important role in expanding ANC coverage through pregnancy identification, provision of health education, screening for complications, delivery of therapeutic care and referral to higher levels of care. However, despite the success of CHW programmes in various countries, WHO has called for additional research to develop evidence-based models that optimise CHW service delivery and that can be replicated across geographies.

Concept and framework of digital twin human geographical environment.

The human geographical environment is a comprehensive setting formed by the interaction between human activities and the geographical environment, characterized by its complexity and vulnerability. Applying the digital twin method to create a new research model in a human geographical environment holds significant academic and practical value. This approach helps avoid disturbances in the real environment, deeply explores complex issues, and optimizes solutions for real-world geographical problems.

Integrating Ecological Suitability and Socioeconomic Feasibility at Landscape Scale to Restore Biodiversity and Ecosystem Services in Southern Chile.

Deforestation and forest degradation are key drivers of biodiversity loss and global environmental change. Ecosystem restoration is recognized as a global priority to counter these processes. Forest restoration efforts have commonly adopted a predominantly ecological approach, without including broader socioeconomic variables and the characteristics of the rural context.

Understanding and overcoming geographical barriers for scaling up dog vaccinations against rabies.

Rabies causes 59,000 human deaths annually in over 150 countries. Mass dog vaccination (MDV) is key to controlling dog rabies, requiring 70% coverage in the susceptible dog population to eliminate rabies deaths. MDV campaigns must achieve geographical homogeneity of coverage.

Spatio-temporal evolution and obstacle diagnosis of human settlements based on the "production-living-ecological" functions.

Sustainable development is a hot topic of global concern and sustainable human settlements (HS) are crucial to people's happiness. Thus, strengthening the construction of HS will help enrich human settlements geography with theories of HS interactions, clarify the existing problems of the Chengdu-Chongqing urban agglomeration (CC), promote the harmonization of the human-land relationship, and realize the SDGs. The results were as follows.

Effect of bed clay on surface water-wave reconstruction from ripples.

Wave ripples can provide valuable information on their formative hydrodynamic conditions in past subaqueous environments by inverting dimension predictors. However, these inversions do not usually take the mixed non-cohesive/cohesive nature of sediment beds into account. Recent experiments involving sand-kaolinite mixtures have demonstrated that wave-ripple dimensions and the threshold of motion are affected by bed clay content.

Advancing diurnal analysis of vegetation responses to drought events in the Yangtze River Basin using next-generation satellite data.

Extreme climate events, particularly droughts, pose significant threats to vegetation, severely impacting ecosystem functionality and resilience. However, the limited temporal resolution of current satellite data hinders accurate monitoring of vegetation's diurnal responses to these events. To address this challenge, we leveraged the advanced satellite ECOSTRESS, combining its high-resolution evapotranspiration (ET) data with a LightGBM model to generate the hourly continuous ECOSTRESS-based ET (HC-ET) for the middle and lower reaches of the Yangtze River Basin (YRB) from 2015 to 2022.

OsWRKY49 on qAT5 positively regulates alkalinity tolerance at the germination stage in Oryza sativa L. ssp. japonica.

Integrated genome-wide association study and linkage mapping revealed genetic basis of alkalinity tolerance during rice germination. The key gene OsWRKY49 was further verified in transgenic plants. With the widespread use of the rice direct seeding cultivation model, improving the tolerance of rice varieties to salinity-alkalinity at the germination stage has become increasingly important.

Assessing the Influence of Low Doses of Sucrose on Memory Deficits in Fish Exposed to Common Insecticide Based on Fipronil and Pyriproxyfen.

Although pesticides have been a constant concern for decades, in the last ten years, public discussions and scientific research have emphasized their impact on human health and the environment, drawing increased attention to the problems associated with their use. The association of environmental stressors such as pesticides with a sugar-rich diet can contribute to the growing global metabolic disease epidemic through overlapping mechanisms of insulin resistance, inflammation, and metabolic dysregulation. The main aim of this study was to evaluate the behavioral effects of the exposure of Silver crucian carp () to a commercial insecticide formulation containing fipronil, pyriproxyfen, and other additives, as well as sucrose and their mixtures.

Composition, Seasonal Dynamics and Metabolic Potential of the Rhizosphere Microbiome Associated with Wild White Poplar.

The white poplar () is a dioecious woody plant with significant potential for the phytoremediation of soils. To realize this potential, it is necessary to utilize growth-promoting microorganisms. One potential source of such beneficial microorganisms is the rhizosphere community of wild-growing trees.

Key concepts and a world-wide look at plant recruitment networks.

Plant-plant interactions are major determinants of the dynamics of terrestrial ecosystems. There is a long tradition in the study of these interactions, their mechanisms and their consequences using experimental, observational and theoretical approaches. Empirical studies overwhelmingly focus at the level of species pairs or small sets of species.

[Spatial and temporal evolution and multi-scenario modeling of land use and habitat quality in highland mountainous urban agglomeration of central Yunnan, Southwest China].

There are obvious contradictions between the development of plateau mountain urban agglomerations and the protection of ecological environment, with the quality of habitat being closely related to land use changes during urbanization. Based on the land use data of central Yunnan urban agglomeration in 2000, 2010, and 2020, we analyzed the spatio-temporal variations of land use and habitat quality, and used PLUS model and InVEST model to predict the status of land use and habitat quality in 2030 under three scenarios: natural development, urban deve-lopment, and ecological protection. The results showed that the artificial surface area of the study area increased significantly from 2000 to 2020, mainly distributed in the areas with very low and medium topographic gradients, most of which were transformed from the cultivated land in the dam area with slow slope.