The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.

Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.

Strengths Knowledge Defend Against Depression: The Contribution of University Students' Family Functioning During COVID-19.

Strengths knowledge refers to individuals' perceptions and recognition of their strengths, and is recognized for its protective role in mental health. Family functioning provides certain environmental conditions for the healthy development of family members in physical, psychological, and social aspects, particularly during stressful periods such as the COVID-19 pandemic. It also plays an important role in youth's ability to cope with stressful situations.

The impact of climate change on Korea's agricultural sector under the national self-sufficiency policy.

Evolving environmental conditions due to climate change have brought about changes in agriculture, which is required for human life as both a source of food and income. International trade can act as a buffer against potential negative impacts of climate change on crop yields, but recent years have seen breakdowns in global trade, including export bans to improve domestic food security. For countries that rely heavily on imported food, governments may institute policies to protect their agricultural industry from changes in climate-induced crop yield changes and other countries' potential trade restrictions.

Measuring trade costs and analyzing the determinants of trade growth between Cambodia and major trading partners: 1993-2019.

High trade costs pose substantial barriers to the process of trade liberalization. This study aims to measure trade costs and explore the driving forces behind the growth of bilateral trade between Cambodia and its top 30 trading partners from 1993 to 2019. Using a micro-founded measure of trade costs derived from the gravity model, we find that Cambodia's average trade costs decreased by 35.

Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model.

Although many organizations have adopted blockchain technology (BCT) for efficiency and automation and users' adoption of BCT is becoming crucial for the companies, few studies have focused on the factors affecting the adoption of BCT in real estate sector. This study aims to assess the factors affecting the adoption of BCT in real estate by the lens of an extended Technology Acceptance Model (TAM) and Task-technology fit (TTF). This current study uses quantitative survey approach.

Do CEOs with government work experience foster enterprise investment in pollution control?

As enterprise leaders, CEOs play a critical role in driving enterprise investment in pollution control. However, few studies have explored the motivations behind enterprise investment in pollution control, primarily how CEOs' early experiences influence their decisions. Based on the perspective of imprinting theory, this study examines the impact of CEOs with government work experience on enterprise investment in pollution control and the boundary conditions of this impact.

Exploring entrepreneurial intention among European Union youth by education and employment status.

The relatively high vulnerability of young Europeans in the labour market compared to other age groups has led many to seek alternative employment solutions, such as entrepreneurship. While not a comprehensive solution, entrepreneurial initiatives among youth can offer a valuable opportunity for their integration into stable and decent work. This research uses Flash Eurobarometer 513-Social Entrepreneurship and Youth to explore entrepreneurial intentions among European Union youth.

Long-term wage inequality in imperial China: From 202 BCE to 1912 CE.

This paper attempts to describe and explain the long-term evolution of wage inequality in imperial China, covering over two millennia from the Han dynasty to the Qing dynasty (202 BCE-1912 CE). Based on historical government records of official salaries, commodity prices, and agricultural productivity, we convert various forms of salaries to equivalent rice volumes and comparable salary benchmarks. Wage inequality is measured by salary ratios and (partial) Gini coefficients between official and peasant classes as well as within the official class.

Optimization of cold chain logistics distribution path considering traffic condition and replenishment along the way.

Road traffic congestion on the cold chain logistics not only increase the cost and time, but also creates certain negative impact on the national carbon emissions. To fully utilize the traffic resources, this study has classified urban road traffic congestion and defined the various vehicle delivery speeds with dynamic congestion levels. Simultaneously, it has developed the cold chain products replenishment strategy by considering delivery route, multi-depot condition and even vehicle types, aiming to minimize the total cost and carbon emissions, and maximizing the cold chain products freshness.

Exploring volatility transmission in Capesize freight contracts: Insights from energy and commodity markets.

Analyzing the interactions between spot and time charter freight is crucial for the maritime industry. While numerous studies have explored the relationship between average freight indices and spillover effects, a gap remains in understanding the deeper connections between inter-regional shipping routes and chartering contracts. This research investigates the role of Capesize freight dynamics in shaping the regional dry bulk freight market, with a focus on the influence of energy and commodity price fluctuations.

Improved daily PM estimates in India reveal inequalities in recent enhancement of air quality.

Poor ambient air quality poses a substantial global health threat. However, accurate measurement remains challenging, particularly in countries such as India where ground monitors are scarce despite high expected exposure and health burdens. This lack of precise measurements impedes understanding of changes in pollution exposure over time and across populations.

Generative adversarial local density-based unsupervised anomaly detection.

Anomaly detection is crucial in areas such as financial fraud identification, cybersecurity defense, and health monitoring, as it directly affects the accuracy and security of decision-making. Existing generative adversarial nets (GANs)-based anomaly detection methods overlook the importance of local density, limiting their effectiveness in detecting anomaly objects in complex data distributions. To address this challenge, we introduce a generative adversarial local density-based anomaly detection (GALD) method, which combines the data distribution modeling capabilities of GANs with local synthetic density analysis.

Impact of mergers and acquisitions on firms' performance adjusted to business cycle fluctuations in China.

This research mainly explored the effects of mergers and acquisitions (M&As) on the financial performance of Chinese listed companies and the determinants of post-M&A financial performance of mergers by incorporating adjustments for business cycle fluctuations. The research was divided into two parts. The first part applied data envelopment analysis (DEA) models for the calculation of the financial performance scores of mergers and non-mergers in six major sectors before and after M&As.

Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal.

This empirical study assessed the potential of developing a machine-learning model to identify children and adolescents with poor oral health using only self-reported survey data. Such a model could enable scalable and cost-effective screening and targeted interventions, optimizing limited resources to improve oral health outcomes. To train and test the model, we used data from 2,133 students attending schools in a Portuguese municipality.

Usual prevention in unusual settings: A scoping review of place-based health interventions in public-facing businesses.

Place-based health interventions may help reach underserved populations. This scoping review summarizes the peer-reviewed literature on the type and effects of place-based health interventions in unconventional public-facing business settings (e.g.

Changes in urinary concentrations of contemporary and emerging chemicals in commerce during the COVID-19 pandemic: Insights from the Environmental influences on Child Health Outcomes (ECHO) program.

Previous research indicates that the COVID-19 pandemic catalyzed alterations in behaviors that may impact exposures to environmental endocrine-disrupting chemicals. This includes changes in the use of chemicals found in consumer products, food packaging, and exposure to air pollutants. Within the Environmental influences on Child Health Outcomes (ECHO) program, a national consortium initiated to understand the effects of environmental exposures on child health and development, our objective was to assess whether urinary concentrations of a wide range of potential endocrine-disrupting chemicals varied before and during the pandemic.

Cellular uptake and transport mechanism of lycopene-loaded nanomicelles formed by amphiphilic peptide self-assembly in the intestinal epithelium.

Background: This study aimed to elucidate the transport mechanism of lycopene-loaded nanomicelles to improve intestinal absorption of lycopene. The interactive mechanism between lycopene and nanomicelles was investigated through isothermal titration calorimetry (ITC). The cytotoxicity, cellular uptake, endocytosis, and intracellular transport pathways of lycopene-loaded nanomicelles were investigated using the Caco-2 cell model.

Variations in land surface temperature increase in South-East Asian Cities.

Climate change and global warming are terms used to describe the variation in the Earth's mean temperature as a result of human activities contributing to the formation of urban heat islands (UHI). One method for determining the temperature of a region is the land surface temperature (LST). The study of LSTs is important and closely related to climate change, as is the provision of convenient living and working conditions in cities, which support economic growth.

Mediating roles of weight stigma and physical activity avoidance in the associations between severity of gaming disorder and levels of physical activity among young adults.

Background And Aims: There are limited data regarding associations between gaming disorder and physical activity (PA). The present study investigated the direct association between these two variables and assessed the potentially mediating roles of PA avoidance and two types of weight stigma (i.e.

The Long-Term Immunity of a Microneedle Array Patch of a SARS-CoV-2 S1 Protein Subunit Vaccine Irradiated by Gamma Rays in Mice.

Background/objectives: COVID-19 vaccines effectively prevent severe disease, but unequal distribution, especially in low- and middle-income countries, has led to vaccine-resistant strains. This highlights the urgent need for alternative vaccine platforms that are safe, thermostable, and easy to distribute. This study evaluates the immunogenicity, stability, and scalability of a dissolved microneedle array patch (MAP) delivering the rS1RS09 subunit vaccine, comprising the SARS-CoV-2 S1 monomer and RS09, a TLR-4 agonist peptide.

The Impact of COVID-19 on DTP3 Vaccination Coverage in Europe (2012-2023).

Background: The COVID-19 pandemic disrupted routine child immunization efforts, threatening to reverse progress in controlling vaccine-preventable diseases.

Materials And Methods: We analyzed the impact of COVID-19 on DTP3 vaccination in Europe by comparing trends before and after the pandemic using time series data from 2000 to 2023. Employing joinpoint regression, chi-square tests, and segmented regression analysis, we assessed DTP3 vaccination trends and coverage changes.

Effects of Annealing Conditions on the Catalytic Performance of Anodized Tin Oxide for Electrochemical Carbon Dioxide Reduction.

The electrochemical reduction of CO (CORR) to value-added products has garnered significant interest as a sustainable solution to mitigate CO emissions and harness renewable energy sources. Among CORR products, formic acid/formate (HCOOH/HCOO) is particularly attractive due to its industrial relevance, high energy density, and potential candidate as a liquid hydrogen carrier. This study investigates the influence of the initial oxidation state of tin on CORR performance using nanostructured SnO catalysts.

Enzymatic Hydrolysis Systems Enhance the Efficiency and Biological Properties of Hydrolysates from Frozen Fish Processing Co-Products.

Co-products from the frozen fish processing industry often lead to financial losses. Therefore, it is essential to transform these co-products into profitable goods. This study explores the production of fish protein hydrolysates (FPH) from three co-products: the heads and bones of black scabbardfish (), the carcasses of gilthead seabream (), and the trimmings of Nile perch ().