bluuebunny/crossref_metadata_2025_split huggingface dataset:
Network structure of transdiagnostic dimensions of emotional disorders in adolescents with subthreshold anxiety and depression: Links with psychopathology and socio- emotional adjustment
Authors: Perea Gabriel Ródenas , Esteban Alfonso Pérez , Albéniz Alicia Pérez , Al-Halabí Susana , Pedrero Eduardo Fonseca 
Published: July 2024

Abstract

Background: The transdiagnostic and network model approaches to psychopathology have emerged as an alternative to taxonomic systems. The main goal was to examine the network structure of the transdiagnostic dimensions of emotional disorders in adolescents with subclinical emotional symptoms. In addition, cross-sectional network analyses were conducted to investigate the relationships between transdiagnostic dimensions and socio-emotional adjustment.
Method: The sample consisted of a total of 476 adolescents from 85 schools from different provinces in Spain with subthreshold anxiety and depression. The mean age was 13.77 years (SD = 1.43, range 10 to 18 years), 73.9% were female. Several questionnaires assessing transdiagnostic dimensions of emotional disorders, mental health difficulties, self-esteem, perceived social support, feeling of belonging at school, and prosocial behavior were used.
Results: A strong interrelation was found between the transdiagnostic variables, except with the positive temperament dimension. The dimensions with the greatest weight were those of traumatic reexperiencing, intrusive cognitions, avoidance, neuroticism, and depressed mood. Negative relationships were found between the transdiagnostic variables and the protective factors included in the study. Stability analyses indicated that the networks where accurately estimated.
Conclusion: The present paper points to the value of conceptualizing emotional disorders from a transdiagnostic and network model perspective. In addition, the work provides new insights into the nature of the relationships between transdiagnostic dimensions of emotional disorders, and the role played by risk and protective factors.
A practical approach focused on optimal velocity profiles selection for hybrid stepper motors to maximize available synchronous torque utilization and minimize positioning error in open loop operation, with application to Manufacturing Systems.
Authors: Barros Oscar , Maury Heriberto 
Published: July 2024

Abstract

In this article, the optimization of hybrid stepper motors performance in open loop is approached by movement strategy definition, adjusted to the load dynamics enabling the execution of movements using maximum synchronous torque available and with the minimum positioning error or step loss. A concept known as the equivalent power circuit time constant is proposed. This concept allowed the development of a practical approach to calculate the synchronous Pull-Out torque curves in terms of power control circuit characteristics and stepper motors electrical parameters. By combining this approach with the load characteristics in a dimensionless form, a differential equation is obtained whose solution provides the optimal stepping rate profile and the limits for the kinematic parameters such as maximum speed and minimum acceleration time allowed for synchronous movement. The proposal is validated through experimentation and obtained a low positioning error for exponential profiles compared to other widely used shapes of acceleration. During the project development, a test bench for the drive systems was designed and built. In addition, a case study is presented to show proposed methodology implementation.
Effects of utilizing self-regulated learning-based instruction on EFL students' academic writing skills: a mixed-method investigation
Authors: Anggraeni Candradewi Wahyu , Mujiyanto Januarius , Rustipa Katharina , Widhiyanto Widhiyanto 
Published: July 2024

Abstract

The present explanatory sequential mixed-method study, taking a comprehensive approach, investigated the effectiveness of self-regulated learning-based instruction and regular writing instruction on academic writing skills among university English as Foreign Language students with different self-efficacy levels. It also delved into the students' voices regarding the effectiveness of self-regulated learning-based instruction and regular writing instruction. A total of eighty students were scrutinized in a 14-week experimental study. For these aims, forty students in the experimental group received self-regulated learning-based instruction intervention, and another forty students received regular writing instruction. Forty out of eighty students were selected using purposive sampling to obtain the qualitative data. Self-efficacy questionnaires, argumentative essay writing tests, observations, writing diaries, and semi-structured interviews were utilized to gather quantitative and qualitative data. The quantitative data were analyzed using SPSS 29 through a paired sample t-test, while the qualitative data used a thematic analysis. The results of quantitative data showed that self-regulated learning-based instruction and regular writing instruction effectively enhanced academic writing skills (contextualizing, summarizing, and sourcing) across university English as Foreign Language students' high, moderate, and low self-efficacy levels. Results obtained from observations, writing diaries, and interviews contended the benefits and challenges of self-regulated learning-based instruction and regular writing instruction.
Estimating global geographical distribution and ecological niche dynamics of Ammannia coccinea under climate change based on Biomod2
Authors: Zhang Yanjing , Hu Jie , Wang Chenbin , Wang YaQiong , Ji Mulan , Ma Fangzhou , Lu YiQing 
Published: July 2024

Abstract

Invasive alien plants are a major threat to biodiversity and the agricultural economy. The invasive weed (Ammannia coccinea) can compete with rice in paddy fields, posing a potential threat to rice production. Despite the crucial importance of estimating the global geographical distribution and ecological niche dynamics of A. coccinea in order to implement effective early warning and control strategies and to ensure global agro-rice security, there has been a dearth of relevant research. This study employed biomod2 ensemble model based on environmental and species data to analyze the distribution range shift and ecological niche dynamics of A. coccinea under the current and future climate scenarios. The results showed that the potential suitability area of A. coccinea was mainly located in Southern North America, northern and south-eastern South America, south-western Europe, the Middle East, central Africa, western Asia, south-eastern Asia, with a gradual increase in the mid-high suitability habitat areas with time and radiation levels. Under future climate change scenarios, the centroid of the suitable area of A. coccinea may shift northwards to higher latitudes. The ecological niche of A. coccinea has shifted less and the overall ecological niche has maintained stability under different climate scenarios in the future compared to the current period. Temperature, precipitation, and the human impact index were the primary factors influencing the future distribution of A. coccinea. In conclusion, climate change was contributing to the expansion of A. coccinea's high habitability area and shifts its ecological niche, necessitating the implementation of effective transnational management strategies to mitigate the impact of this invasive species on rice production.
Development of Composite Index in Psychiatry Clinical Trial
Authors: Zhang Haiqi , Chow Shein-Chung 
Published: July 2024

Abstract

In psychiatry clinical trials, a validated instrument (or questionnaire) which consists of a number of questions (or items) is often used for evaluation of the safety and efficacy of a test treatment under investigation. This approach based on rating scales for evaluation of safety and efficacy of a test treatment under study, however, has been criticized of being subjective. To overcome the problem, the use of a composite index which combines the subjective rating scales and objective functional magnetic resonance imaging (fMRI) is proposed. For this purpose, statistical methods for development of composite index are derived. The proposed composite index is evaluated both theoretically and via extensive clinical simulation studies.
Integration of Renewable Energy Sources With Intelligent Neuro Fuzzy Control for Microgrid System
Authors: BHAVANI CHALADI S GANGA , PRASAD N BHANU , KISHORE D RAVI 
Published: July 2024

Abstract

As microgrids (MGs) deploy stability and continuous power flow in utility grids it acts as a remedial measure for power grid failure and high load demand. A hybrid Renewable Energy Source (RES) fed microgrid with an Adaptive Neuro fuzzy Inference System (ANFIS) controller is suggested. The photovoltaic (PV) system and Doubly Fed Induction Generator fed Wind Turbines (DFIG-WT) are selected as a typical RES. Among various converters in use, a novel high gain Landsman converter is utilized to attain consistent DC-link voltage and to boost the photovoltaic output for the generation of high efficiency outputs. ANFIS method, which is a significant alternative designed with the combination of two computing approaches of fuzzy logic and Artificial Neural Network (ANN) is used for the converter control. To increase the convergence rate and reliability prediction rate, the constraints of ANFIS are improved using Crow Search Algorithm (CSA). Subsequently, the wind system with Pulse Width Modulation (PWM) rectifier regulated by Proportional Integral (PI) controller is connected to the microgrid setup. A battery energy storage system (BESS) is adopted for the storage of energy during surplus conditions while providing energy to DC link at times of power shortage from PV and wind sources. Assessments on the control scheme are simulated in MATLAB platform. The comparison analysis for voltage gain as well as efficiency for the proposed converter and conventional converters are analyzed and the proposed high gain Landsman converter exhibits 97% efficiency in boosting the DC voltage.
NADPH-mediated in-situ formation of gold nanoparticles for the enzymatic determination of atropine
Authors: Domínguez Mario , de Marcos Susana , Galbán Javier 
Published: July 2024

Abstract

In this work, it has been demonstrated that the formation of gold or gold-platinum nanoparticles mediated by a NADPH-dependent enzymatic reaction can be coupled to the determination of atropine. First, the formation of AuNPs and AuPtNPs from Au(III) and NADPH was studied and characterised using TEM techniques. It has also been observed that reducing properties of NADPH and NADH lead to different nanoparticle yields, which could be used to differentiate between the two cofactors. Based on these results, the method was coupled to the enzymatic determination of atropine using tropinone reductase and NADPH, since the absorption band at 550 nm (plasmon band) of the formed AuNPs can be related to the concentration of atropine in the range from 0.025 mM to 0.09 mM with an RSD of 3% (n = 5). The method has been applied to the determination of atropine in buckwheat with good results.
Utilizing the biosimulator to analyze the environmental microbiome within the intensive care units of a hospital
Authors: Thomas Sunil , Bittinger Kyle , Livornese Lawrence L. 
Published: July 2024

Abstract

In our previous study, we demonstrated the ability of an engraved Petri dish, referred to as a "biosimulator," to induce adhesion of non-adherent cells and the microbiome. This paper delves into the utilization of this innovative biosimulator to elucidate the microbiome composition within intensive care units (ICUs) in a hospital setting. The biosimulator, containing a nutrient-rich bacterial growth medium, was strategically placed in various locations within ICUs for a 24-hour period, followed by an incubation period of three days under both aerobic and anaerobic conditions to simulate the diverse environmental niches within the ICUs. By employing 16S rRNA profiling, we meticulously sequenced the microbiome present in the ICU samples. Our findings revealed that the microbiome composition within ICUs closely mirrored that of the patients occupying the facility. Furthermore, the microorganisms thriving within the ICU environment exhibited notably closer interrelationships compared to those observed under control conditions. This study underscores the potential of our biosimulator approach as a valuable tool for comprehensively characterizing and understanding the microbiome dynamics within healthcare environments, particularly in high-risk settings such as ICUs.
A Governança Na Perspectiva Das Organizações Sociais: O Caso Do Instituto De Desenvolvimento E Gestão
Authors: Zugliani Luiz Fernando 
Published: July 2024

Objetivo: A finalidade da pesquisa é analisar componentes do sistema de governança e gestão de uma organização sem fins lucrativos, o Instituto de Desenvolvimento e Gestão (IDG), responsável pela gestão de instituições culturais em Pernambuco e no Rio de Janeiro, no contexto do modelo das Organizações Sociais (OS’s) introduzido pela reforma gerencial de 1995.
Método: Quanto à abordagem, optei pela vertente qualitativa, via pesquisas bibliográfica e documental. Tratando-se de um estudo de caso, busco examinar, em detalhes, o ambiente institucional, na tentativa de oferecer soluções à luz das boas práticas de governança.
Resultados: A par da complexidade dessa configuração organizacional, que mistura trilhas de perfil público e privado, verifiquei que, por estar atrelado a prescrições emanadas das diferentes plataformas legais que orientam os respectivos contratos de gestão, a obrigatoriedade de respeitar as especificidades de cada uma delas cria problemas a uma visão mais geral da entidade, com disfunções no sistema de governança e gestão.
Originalidade/Relevância: Integrante de um campo específico do Terceiro Setor, e muito pouco explorado, as Organizações Sociais demandam estudos e pesquisas urgentes. Isso porque movimentam bilhões de reais em várias localidades da federação, substituindo o Estado na gestão de serviços públicos relevantes.
Contribuições teóricas/metodológicas: Baseado na literatura e referenciais consagrados, os achados apontam para a criação de uma base empírica a impulsionar uma produção científica até então bem tímida.
Contribuições sociais/gestão: Ao se identificar fragilidades substantivas no sistema de governança do IDG, a intenção é aduzir caminhos possíveis à melhoria da gestão e, consequentemente, dos serviços públicos prestados aos cidadãos.
Análise Bibliométrica da Responsabilidade Social Corporativa no Campo das Ciências Sociais Aplicadas
Authors: Lima Anderson Antônio , Ribeiro Thiago de Luca Santana 
Published: July 2024

Objetivo: O objetivo do estudo foi analisar a evolução conceitual-teórica da responsabilidade social corporativa (RSC) em ciências sociais aplicadas. Este objetivo foi desdobrado em três análises: primeiro, uma análise descritiva da evolução de artigos da temática. Segundo, a análise das principais bases teóricas através da análise de cocitação. Por fim, em terceiro lugar, a análise das fronteiras da temática através da análise de acoplamento bibliográfico.
Método: Trata-se de uma pesquisa bibliométrica com o uso das técnicas de cocitação e acoplamento bibliográfico. Os dados são trabalhados na forma descritiva e em mapeamento gráfico.
Resultados: Identificou-se por meio do mapa de cocitação a estrutura intelectual teórica da responsabilidade social corporativa no campo de ciências sociais aplicadas. Esta técnica possibilitou a identificação de quatro clusters. O pareamento bibliográfico realizado identificou quatro clusters de estudos sobre responsabilidade social corporativa no campo de ciências sociais aplicadas.
Originalidade/Relevância: A revisão bibliométrica desenvolvida nesta pesquisa é um esforço inicial para mapear o domínio de conhecimento da evolução teórica da responsabilidade social corporativa (RSC), uma vez que não se encontra na literatura de estudos revisionais que possibilitem compreender o surgimento e evolução da temática dentro do campo das ciências sociais aplicadas.
Contribuições teóricas: Esta pesquisa trouxe três contribuições principais. Em primeiro lugar, demonstra a evolução das pesquisas de RSC ao longo do tempo. Em segundo lugar, através da análise de cocitação, apresenta 4 clusters teóricos que representam as bases das pesquisas em RSC. Por fim, em terceiro lugar, através da análise de acoplamento bibliográfico, apresenta 4 clusters teóricos que representam as fronteiras do conhecimento em RSC.
Reconhecimento dos Números de Emergência (190,192 e 193) pela População Brasileira
Authors: Luna Aline Affonso , Bica Raphael Barbosa , Dos Santos Carlos Henrique Avelino 
Published: July 2024

Objetivo: identificar a porcentagem de pessoas capazes de reconhecer os números e diferenciar os serviços de emergência. Método: Estudo descritivo, transversal, com abordagem quantitativa, realizado por meio da metodologia bola de neve, com participação de 438 indivíduos residentes de todas as regiões do Brasil, no período de 03 de maio a 09 de junho de 2022. Os critérios de inclusão foram: indivíduo maior de idade, brasileiro ou estrangeiro, que residisse no Brasil com fluência no idioma português. O projeto teve aprovação do Comitê de Ética em Pesquisa, número do parecer 5.374.858. Resultados: A pesquisa evidenciou maior participação do sexo feminino (64,1%) e predomínio dos jovens com faixa etária entre 21 e 30 anos (37,9%). A região centro-oeste se destacou com o maior percentual de acertos em relação ao reconhecimento dos três números de emergência. Observou-se maior associação correta entre o número/serviço da polícia militar (92,2%) e um alto percentual de acertos (96%) referente ao número telefônico da mesma instituição associada à situação/problema apresentada. Conclusão: evidenciou-se a falta de clareza da população quanto aos números e atribuições do serviço de atendimento móvel de urgência e dos bombeiros. Acredita-se que a unificação dos números surge como uma alternativa que busca extinguir as dúvidas sobre os números e atribuições de cada um dos serviços.
Urban flood-bearing vulnerability evaluation based on the moment estimate weighting and improved gray target model
Authors: Yan Dengming , Su Liu , Liu Simin , Lv Hong , Lin Jin , Yu Zhilei , Cao Lucong 
Published: July 2024

ABSTRACT
Increasingly severe flooding seriously threatens urban safety. A scientific urban flood-bearing vulnerability assessment model is significant to improve urban risk management capacity. The gray target model (GTM) has advantages in urban flood-bearing vulnerability assessment. However, indicator correlation and single bull's-eye are commonly neglected, leading to defective evaluation results. By integrating the four base weights, an improved weighting method based on the moment estimate was proposed. Then, the marginal distance was used to quantify the indicator correlation, and the TOPSIS model was introduced to define the relative bull's-eye distance. Thus, an improved gray target evaluation method was established. Finally, an urban flood-bearing vulnerability evaluation model was presented based on the moment estimate weighting-improved GTM. In this study, Zhengzhou City, China, was taken as an example. The spatial and temporal changing characteristics of the flood-bearing vulnerability of Zhengzhou from 2006 to 2020 were investigated. The results show that: (1) On the temporal scale, the disaster-bearing vulnerability of Zhengzhou City showed an upward trend during the 15 years; (2) On the spatial scale, Guancheng District of Zhengzhou City had the relatively highest vulnerability to urban flooding. This study is expected to provide a scientific reference for urban flood risk management.
Source separation and anaerobic co-digestion of blackwater and food waste for biogas production and nutrient recovery
Authors: Kamravamanesh Donya , Kokko Marika 
Published: July 2024

ABSTRACTAnaerobic co-digestion of source-separated blackwater (BW) and food and kitchen waste (FW) offers decentralized circular economy solutions by enabling local production of biogas and nutrient-rich byproducts. In this study, a 2 m3 pilot-scale continuously stirred tank reactor (CSTR) operated under mesophilic conditions was utilized for co-digestion of BW and FW. The process obtained a CH4 yield of 0.7 ± 0.2 m3/kg influent-volatile solid (VS), reaching a maximum yield of 1.1 ± 0.1 m3/kg influent-VS, with an average organic loading rate of 0.6 ± 0.1 kg-VS/m3/d and HRT of 25 days. The CH4 production rate averaged 0.4 ± 0.1 m3/m3/d, peaking at 0.6 ± 0.1 m3/m3/d. Treatment of digestate through flocculation followed by sedimentation recovered over 90% of ammonium nitrogen and potassium, and 80–85% of total phosphorus in the liquid fraction. This nutrient-rich liquid was used to cultivate Chlorella vulgaris, achieving a biomass concentration of 1.2 ± 0.1 g/L and 85 ± 3% and 78 ± 5% ammonium nitrogen and phosphorus removal efficiency, respectively. These findings not only highlight the feasibility of anaerobic co-digestion of source-separated BW and FW in local biogas production but also demonstrate the potential of microalgae cultivation as a sustainable approach to converting digestate into nutrient-rich algae biomass.
Ginger Extract-Loaded Chitosan Nanoparticles: Investigating their Impact on Lipid Metabolism and Obesity in a Rat Model through In vitro and In vivo Analysis
Authors: Gao Rui , Fan Qunbin , Rohani Saeed 
Published: July 2024

Introduction:
Obesity has become a pressing global health crisis, reaching alarming
proportions and bearing significant consequences for public health on a global scale.

Aim:
In this research, chitosan nanoparticles were employed to encapsulate ginger extract, and the
impact of this formulation on lipid metabolism and obesity was investigated using a rat model.

Methods:
In vitro experiments, encompassing assessments of cell viability, microstructure, anti-inflammatory
activity, and release dynamics, were conducted to comprehensively evaluate the nanoformulation.
The study extended to examining the potential anti-obesity efficacy of the developed
nanoformulation in rats induced with obesity through a high-fat diet.

Results:
In vitro findings affirmed the safety of the carriers and revealed their robust anti-inflammatory
properties. The average particle size for ginger-loaded and ginger-free chitosan nanoparticles
was measured to be 458.92 ± 139.35 nm and 466.29 ± 142.71 nm, respectively. The in vivo investigation
demonstrated the dose-dependent effects of ginger extract-loaded chitosan nanoparticles,
manifesting in a reduction of obesity and improvement in liver function.

Conclusion:
These promising results suggest that the developed nanoformulation could be considered
a viable therapeutic option for individuals struggling with obesity.