bluuebunny/crossref_metadata_2025 huggingface dataset:
An Efficient Online Offline Data Collection Software Solution for Creating Reference Population to Established Genomic Selection Under Small Holders’ Dairy System in India
Authors: Gaundare Y S , Joshi S A , Punde N K , Bhave K G , Shirsath T V , Potdar V V , Dhanikachalam V , Jadhav S , Joshi A S , Swaminathan M
Published: September 2023

This article as part of an Enhanced Genetics Project assumes special significance in the light of emergence of electronic mode of data collection system. Pen and paper method of data collection although very familiar to field people, but is generates the errors and requires digitization and data cleaning. The software solution surveying is easier mode of ensuring uniformity in data collection, reducing errors and better storage and analysis of data. In this regard, this article gives a clearer picture of the digital tablet based data collection system employed part of the Enhanced Genetics Project across 49 selected Data Recorders (Data Enumerators) in Maharashtra, Uttar Pradesh, Jharkhand, Punjab, Odisha, Gujarat, Andhra Pradesh, Rajasthan, and Bihar. The manual outlines the processes to be fulfilled by the digital mobile based solution, the user interface involved and the software and hardware infrastructure to support such a platform independent system. In this project we have enrolled the 33,293 dairy animals and collecting there production, reproduction, body weight data, as well as, collecting the baseline & herd management information of that farm. This system increase Data Accuracy GPS (Global Positioning System) enabled data collection system for genomic evolution. This is very unique software solution developed for to collect the structured phenotype data of the dairy animals in Indian conditions on realtime basis. As well, show case the robust data collection system for the Genomic Selection for dairy animal’s initiative. This sub-system also focused on the various activities and operations related to molecular biological laboratory. In this software solution system the two major feedback systems for actively participation of the farmers were participation certificate and Graphical Animal Ranking system for the farmer and animal. The locational data collection with seamless interfacing with the user and the data repository for Genetic Improvement Data collection system. Data capture system was quite successful in gathering field phenotype data for Genetic Improvement Program in the complex dairy production system like India.
An Overview of Various Techniques Involved in Detection of Anomalies from Surveillance Cameras
Authors: N.T Vasanth Kumar , A Geetha Kiran
Published: September 2023

In recent years, the use of surveillance cameras is rapidly increasing in both public and private areas to enhance the security measures. Many companies are recruiting people to monitor the activities captured by surveillance cameras and due to human error they may failed to monitor the abnormal events. So, an automated system to detect the anomalous events acts as a significant approach in surveillance applications. Due to sparse occurrence of anomalous activities, the detection of anomalies is remaining as a challenging task. To overcome these drawbacks, many researchers have worked to develop an effective anomaly detection methods using different approaches. This study prioritized some existing approaches to detect anomalies takes place in surveillance videos. The existing researches utilized University of Central Florida (UCF) Crime video dataset to collect the data about the anomalous activities, UCF crime video dataset consist of 13 categories of anomalies which consist of 1900 surveillance videos. The key parameters such as accuracy, recall, F1 score and Area Under Curve (AUC) are evaluated to analyse the efficiency of the existing anomaly detection methods. This survey acts as a tool for future researchers to overcome the drawbacks in the existing methods and create a novel anomaly detection approach.
5G Vs Wi-Fi Indoor Positioning: A Comparative Study
Authors: Becker Even , D. Schotten Hans
Published: September 2023

Sensing location information in indoor scenes requires a high accuracy and is a challenging task, mainly because of multipath and NLoS (non-line-of-sight) propagation. GNSS signals cannot penetrate well in indoor environment. Satellite-based navigation and positioning systems cannot therefore be used for indoor positioning.. Other technologies have been suggested for indoor usage, among them, Wi-Fi (802.11) and 5G NR (New Radio). The primary aim of this study is to discuss the advantages and drawbacks of 5G and Wi-Fi positioning techniques for indoor localization.
Detection of Structured Query Language Injection Attacks Using Machine Learning Techniques
Authors: Angula Taapopi John , Hashiyana Valerianus
Published: September 2023

This paper presents a comparative analysis of various machine learning classification models for structured query language injection prevention. The objective is to identify the best-performing model in terms of accuracy on a given dataset. The study utilizes popular classifiers such as Logistic Regression, Naive Bayes, Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine. Based on the tests used to evaluate the performance of the classifiers, the Naïve Bayes gets the highest level of accurate detection. The results show a 97.06% detection rate for the Naïve Bayes, followed by LogisticRegression (0.9610), Support Vector Machine (0.9586), RandomForest (0.9530), DecisionTree (0.9069), and K-Nearest Neighbor (0.6937). The code snippet provided demonstrates the implementation and evaluation of these models.
Wi-Fi Data Analysis based on Machine Learning
Authors: Nanumura Nanumura Gedara Umal Anuraga
Published: September 2023

This study proposes using machine learning to improve Wi-Fi network security. As Wi-Fi networks spread from industrial to residential areas, the necessity for strong security has risen. The rise of smart networking, especially in the IoT, has created data security and vulnerability issues. A unique method that uses machine learning to detect abnormalities and probable security breaches in Wi-Fi networks addresses these difficulties. We gather, preprocess, and analyse network data to create a complete dataset. This dataset trains machine learning algorithms to identify and classify network anomalies. Using agile methods, data mining, and machine learning algorithms, we created a Wi-Fi network intrusion detection system (WNIDS) that can detect diverse network threats. The proposed WNIDS contains two linked stages with specific machine learning models. These algorithms accurately classify network data as normal or attack specific. Our technology protects against malicious attacks and provides a robust Wi-Fi network for users across domains by incorporating machine learning. Modern network security dangers were fully understood by surveys and data analysis. The WNIDS was implemented and deployed through a structured system development life cycle. This tool eliminates network weaknesses and advances distant enterprises, offering safe and smooth access for consumers globally.
Exploring Cloud Computing Adoption in Higher Educational Environment: An Extension of the Tpb Model With Trust, Peer Influences, Perceived Usefulness and Ease of Use
Authors: Al-Ghaith Waleed
Published: September 2023

Cloud computing is regarded as the next generation of computing. It is progressively being used as a launching pad for digital innovation and organizational agility. Cloud computing is frequently used by private and public organizations due to its flexibility, collaboration, cost-effectiveness, and scalability. These characteristics make cloud computing indispensable for individuals and businesses such as higher education institutes. Several prior studies covered the technological facets of cloud-based contexts, including cloud security, scalability, and virtualization. However, it is contend that the main barrier to cloud computing isn't technical but cognitive or behavioural, and in particular attitudinal. Thus, this research aims to study higher education’ students’ attitudes and their intention to adopt cloud computing, with a specific concentration on the effect of trust, peer influences, perceived usefulness and ease of use in order to investigate the factors influencing the adoption of cloud computing in higher educational environment in Saudi Arabia. This study presents an extended Decomposed Theory of Planned Behaviour (DTPB) to include trust, peer influences, perceived usefulness and ease of use as a cognition, representing a person’s perception of social influence to perform or not perform a behaviour under consideration. The proposed model was able to explain 62% of the variance in behavioural intention and 65% of students' attitudes towards the adoption of cloud computing in higher educational environment. The study's findings show that the proposed model explained a significant amount of variation in cloud computing adoption. It suggests that the model expansion by incorporating trust, peer influences, perceived usefulness and ease of use factors were valuable explorations. Further, the findings demonstrate that university students' attitudes toward using cloud computing are significantly influenced by perceived ease of use, trust in cloud computing service provider and perceived usefulness, which have the ability to explain their attitude by 22.15%, 21.9% and 20.9% respectively. The result also shows that "subjective norm" alone explains 33.95% of students' "behavioural intentions" towards using cloud computing, followed by their "attitude," which explains around 14.24% of "behavioural intentions," and then university students’ "self-efficacy," with 13.71%.
Inflation-Crime Nexus: A Predictive Analysis of Crime Rate Using Inflationary Indicator in Municipalities of North Cotabato, Philippines
Authors: R. Serrano Michaelangelo , L. Hontiveros Nero , C. Mosquera EJ Ryle , M. Celestino Aura Mae , D. Vilar John Louie , S. Baroy Junuel , C. Gelbolingo Mitziel
Published: September 2023

Predicting the occurrence of robberies poses significant challenges, requiring valuable data to assist law enforcement personnel in crime prevention and solving efforts. This research paper introduces Crata, a tool that leverages linear regression to predict the robbery frequency in North Cotabato, Philippines. The development of Crata was driven by the analysis of historical data encompassing robbery incidents and inflation rates from 2010 to 2022. The research emphasizes the importance of utilizing the inflation rate as a crucial predictor in determining the robbery frequency. By incorporating this variable into the predictive model, Crata enables more accurate predictions, thus empowering law enforcement agencies with vital insights to address and mitigate crime problems proactively. The robustness and reliability of the tool were assessed through comprehensive evaluations, demonstrating its practical utility and effectiveness. This paper significantly contributes to crime prevention by providing a reliable and data-driven approach to anticipating robberies, enhancing proactive efforts to safeguard the community, and combat crimes. Further research and development are warranted to refine the tool and expand its applicability to other regions for strengthening crime prevention strategies on a broader scale.
A Systematic Review on the Effectiveness of Using User-Generated Content in E-Commerce Marketing
Authors: Akhter Jubaer , Mohamadali Noor Azizah Binti
Published: September 2023

This systematic literature review examines the effectiveness of user-generated content (UGC) in ecommerce marketing, specifically focusing on its impact on customer trust, engagement, and purchase behavior. The review identifies key determinants of UGC effectiveness by analyzing multiple studies, including source credibility, message relevance, and social influence. The findings confirm the positive association between UGC and customer trust, highlighting the potential of UGC as a marketing tool for ecommerce businesses. However, gaps in the literature, such as limited exploration of demographic and cultural differences, indicate the need for further research in this area. The findings from this systematic literature review will help e-commerce businesses improve their marketing plans by utilizing usergenerated content to win over customers' trust and engagement.
IoT and Blockchain - A New Paradigm for Supplier Management in Manufacturing Plants
Authors: Yesodha Karthik Raj Kumar , Jagadeesan Arunkumar
Published: September 2023

This paper discusses how the combination of Internet of Things (IoT) and Blockchain technology can create a new paradigm for supplier management in manufacturing plants. IoT enables the comprehensive digitalization of an entire manufacturing plant while providing a trove of data about the daily operations and performance of suppliers, machine performances, and other related activities. Blockchain technology provides a distributed ledger technology to store, share, and manage this data with trust and security, ensuring that all stakeholders within the supply chain are accountable and have an immutable record of their activities and performance. The paper discusses the potential opportunities and benefits that this new paradigm promises for manufacturers through improved supplier management, automated processes, reduced costs, and enhanced transparency. It also examines the challenges associated with making this system functional such as legal issues, system integration, and security concerns. Finally, the paper provides an overview of potential uses of this technology and concludes with a discussion of the future prospects of using IoT and Blockchain in supplier management.
Multi-Access Edge Computing Architecture and Smart Agriculture Application in Ubiquitous Power Internet of Things
Authors: Hoang Nguyen Van
Published: September 2023

The Ubiquitous Power Internet of Things (UPIoT) is a deep integration of the interconnected power network and communication network, enabling full perception of the system status and business operations for power production, transmission, and consumption. To address the challenges of real-time perception, rapid response, and privacy protection, UPIoT can benefit from the use of edge computing technology. Edge computing is a new and innovative computing architecture that enables quick and efficient processing of data close to the source, bypassing network latency and bandwidth issues. By shifting computing power to the edge of the network, edge computing reduces the strain on cloud computing centers and decreases input response time for users. However, access latency can still be a bottleneck, which may overshadow the benefits of edge computing, particularly for data-intensive services. While edge computing offers promising solutions for the IoT network, there are still some issues to address, such as security, incomplete data, and investment and maintenance costs. In this paper, researcher conducts a comprehensive survey of edge computing and how edge device placement can improve performance in IoT networks. The paper includes a comparative use case of smart agriculture edge computing implementations and discusses the various challenges faced in implementing edge computing in the UPIoT context. The results also aim to inspire new edge-based IoT security designs by providing a complete review of IoT security solutions at the edge layer in UPIoT.
High Accuracy Location Information Extraction From Social Network Texts Using Natural Language Processing
Authors: Bonde Lossan , Dembele Severin
Published: September 2023

Terrorism has become a worldwide plague with severe consequences for the development of nations. Besides killing innocent people daily and preventing educational activities from taking place, terrorism is also hindering economic growth. Machine Learning (ML) and Natural Language Processing (NLP) can contribute to fighting terrorism by predicting in real-time future terrorist attacks if accurate data is available. This paper is part of a research project that uses text from social networks to extract necessary information to build an adequate dataset for terrorist attack prediction. We collected a set of 3000 social network texts about terrorism in Burkina Faso and used a subset to experiment with existing NLP solutions. The experiment reveals that existing solutions have poor accuracy for location recognition, which our solution resolves. We will extend the solution to extract dates and action information to achieve the project's goal.
Cybersecurity Strategies for Safeguarding Customer’s Data and Preventing Financial Fraud in the United States Financial Sectors
Authors: Paul Efijemue Oghenekome , Callistus Obunadike , Somtobe Olisah , Esther Taiwo , Somto Kizor-Akaraiwe , Clement Odooh , Ejimofor Ifunanya
Published: September 2023

As the financial sectors in the United States deal with expanding cyberthreats and a rising danger of financial crime, cybersecurity has become a top priority. This paper examines the crucial cybersecurity techniques used by financial institutions to protect client information and counter the growing risk of financial fraud. It proves that understanding common fraud tactics used to defraud financial institutions and customers, putting fraud detection and prevention techniques like anomaly detection and machine learning into practice, and using transaction monitoring and anti-money laundering tactics to spot and stop fraudulent activity are all necessary for preventing financial fraud. The paper begins by reviewing the common cyber dangers affecting the financial industry and the strategies used by cybercriminals to circumvent security precautions and take advantage of weaknesses. After looking at potential risks, the paper highlights the importance of proactive cybersecurity measures and risk mitigation techniques. It highlights crucial components of cybersecurity frameworks, including strong data encryption, multifactor authentication, intrusion detection systems, and ongoing security monitoring. This paper also emphasizes the value of educating and training financial institution staff members to increase cybersecurity resilience. It underlines the significance of building a strong security culture, educating personnel about potential dangers, and encouraging responsible management of client data. The study also explores the advantages of financial organizations working together and exchanging threat knowledge. It examines industry alliances, information-sharing platforms, and public-private partnerships as crucial methods for group protection against cyber threats. This paper highlighted the significance of artificial intelligence and machine learning in cybersecurity domain. It demonstrates how these technologies improve cybersecurity systems' capabilities by spotting irregularities and potential attacks. It emphasizes the significance of taking a proactive and dynamic strategy to securing client information and maintaining faith in the United States’ financial sectors. Overall, this paper provides a thorough overview of cybersecurity tactics crucial for protecting consumer data and avoiding financial fraud in the financial sectors across the United States. By taking a vigilant, team-based, and technology-driven strategy, financial institutions may strengthen their cyber defenses, protect the data of their clients, and defend the integrity of the financial system.
The Effect of Accepted Handoff Signal Quality on the Queued Combined Guard Channel and Mobile Assisted Handoff Call Admission in 5G Networks
Authors: O. Mohamed Nagla
Published: September 2023

The effect of handoff call signal strength on the performance of the combined guard channels and mobile assisted handoff with handoff queueing is studied. If a handoff call arrives and it has an acceptable signal quality, and there are not enough channels for its service, it is queued in a finite buffer. If during its dwell time in the queue, enough channels become available, it is immediately serviced, otherwise if its dwell time is completed, and no channels are available for its service it is dropped. Two customer types, narrowband (voice calls) and wideband (data, video and media) are considered. Matrix algorithmic techniques are used to solve the balance equations to calculate the different performance measures of the system. The results indicate that when the handoff calls with good signal strength have higher probability of being accepted, the blocking probability of new calls of both types increase much more than for the handoff call dropping. Average channel utilization is also increased. Increasing the size of the queue, led to further reduction in the handoff call dropping and increase in the bandwidth utilization. When both the probability of accepting a handoff call with good quality and the queue size is increased, the blocking probability of new calls is not affected while the handoff call dropping in reduced. In all cases, it is noticed that the handoff call dropping of wideband calls is less than the handoff call dropping of narrowband calls.
MERGERS AND ACQUISITIONS. AN EVALUATION ANALYSIS OF BANKRUPTCY PRE AND POST OF BOTH EVENTS. EVIDENCE FROM GREECE
Authors: Dr Kyriazopoulos Georgios  , Kragiopoulou Nikoleta
Published: September 2023

The banking sector is one of the most important sectors in economy of the world and occupies a prominent position in the development. The banking system in Greece is regulated by the European Central Bank (ECB) and is composed of various types of banks, including systemic commercial banks, non systemic commercial banks and cooperative banks. The purpose of this study is to study the case of the reduction or not of the occurrence of bank bankruptcy after the acquisition they made of banks with financial difficulties. For this purpose, we study the possible bankruptcy of the acquired banks before their acquisition, as well as the possible bankruptcy of the acquiring banks before and after the acquisition. There are several models for predicting bankruptcy, including financial ratio analysis Z-score model, Zeta model, financial soundness model and other models. In this study to predict bankruptcy for banks we use the Zeta model for banks. This model is one of the commonly used in the international scientific community. The time period of the study is defined after the beginning of the global financial crisis in the year of 2008 and before the pandemic. This global financial crisis as known invaded Greece mainly in year 2010 an the pandemic started at the end of year 2019. The examined time period concerns both a short-term and a long-term period of time for the most rational drawing of conclusions. This specific study is based on the analysis of two of the most characteristic cases involving Greek banks involved in takeovers. One case concerns Greek cooperative banks and the other one concerns Greek systemic banks.

Keywords: Cooperative Banks, Mergers & Acquisitions, Cash Flows Ratio, Profitability, Insolvency.

JEL Classifications: G21, G33, G34
AN OVERVIEW OF THE FACTORS INFLUENCING THE FLEXIBILITY OF THE SUPPLY CHAIN IN MANUFACTURING ENTERPRISES
Authors: Nguyen Thanh Thuy
Published: September 2023

The flexibility of the supply chain plays a crucial role in enabling enterprises to respond promptly to market fluctuations, providing a competitive advantage over rivals. The objective of this study is to elucidate the essence of supply chain flexibility. The research also conducts an overview of the factors influencing supply chain flexibility in manufacturing enterprises. Six groups of factors that commonly affect supply chain flexibility are mentioned, including: commitment of top leadership, supply chain strategy, IT system information sharing capability, supplier relationships, flexible staff, and production/logistics machinery and infrastructure. Based on the overview results, several conclusions and discussions are presented.

Keywords: Supply Chain Flexibility, Manufacturing Enterprises, Influencing Factors.
Sexo, edad y sintomatología depresiva en la adolescencia
Authors: Sánchez-Hernández Óscar , Méndez Francisco Xavier , Marín-Martínez Fulgencio
Published: September 2023

El objetivo de este estudio fue analizar la relación del sexo y la edad con la sintomatología depresiva en adolescentes. Los participantes fueron 1.212 adolescentes, de 1º (53,9%) y 2º (46,1%) curso de la Educación Secundaria Obligatoria, pertenecientes a siete centros educativos de la Región de Murcia (España). Participaron también 104 padres. El porcentaje de adolescentes con sintomatología depresiva clínicamente significativa es similar al encontrado en otros estudios en España. Las chicas presentaron mayor sintomatología depresiva. La diferencia de sexo fue mayor en el grupo de alta sintomatología depresiva. La sintomatología depresiva aumentó con la edad en consonancia con investigaciones previas. La diferencia se puso de relieve en los autoinformes de los adolescentes, pero no en los informes de los padres. Se concluye la relevancia de tomar en consideración el sexo y la edad al elaborar programas de prevención de la depresión para adolescentes.
Validation and psychometric properties of the Valued Living Questionnaire (VLQ) for the Spanish population
Authors: Macías Juanjo , Ruiz-García Antonio , Valero-Aguayo Luis
Published: September 2023

The aim of this paper is to present the Spanish adaptation of the “Life Values Questionnaire” (VLQ; Wilson et al., 2010), providing data on its psychometric properties. The questionnaire was administrated to 531 participants aged between 18 and 70 years (M= 28.73), 70% of whom were female university students. The exploratory factor analysis showed three main factors: community, closeness and obligations, whose internal consistency levels were .70, .71 and .68, respectively, while the total score was .71, which was similar to that of the English original version. In terms of the concurrent validity, the VLQ showed moderate correlations with the “Personal Values Questionnaire” (Schwartz, 1992) (r= .47), and with the “Life Snapshot Questionnaire (Ruiz-García et al., 2021; Tsai et al., 2023) (r= .65). The usefulness of the VLQ for assessing and tracking key processes involved in clinical change, as well as for enhancing and assessing personal values intimately related to quality of life, meaning in life and community well-being is discussed.
Validación y propiedades psicométricas del “Cuestionario de valores de vida” (VLQ) para población española
Authors: Macías Juanjo , Ruiz-García Antonio , Valero-Aguayo Luis
Published: September 2023

El objetivo de este trabajo es presentar la adaptación española del “Cuestionario de valores de vida” (VLQ; Wilson et al., 2010), aportando datos sobre sus propiedades psicométricas. Se aplicó el cuestionario a 531 participantes de entre 18 y 70 años (M= 28,73), siendo el 70% mujeres universitarias. El análisis factorial exploratorio mostró tres factores principales: comunidad, cercanía y obligaciones, cuyos niveles de consistencia interna fueron de 0,70, 0,71 y 0,68, respectivamente, mientras que para la puntuación total fue de 0,71 que resultaron similares a los del original. En cuanto a la validez concurrente, el VLQ mostró correlaciones moderadas con el “Cuestionario de valores personales” (Schwartz, 1992) (r= 0,47) y con el “Cuestionario de instantánea vital” (Ruiz-García et al., 2021; Tsai et al., 2023) (r= 0,65). Se discute la utilidad del VLQ para evaluar y hacer seguimiento a los procesos clave involucrados en los cambios clínicos, así como para mejorar y evaluar los valores personales íntimamente relacionados con la calidad de vida, el sentido de la vida y el bienestar de la comunidad.
Interacción de los rasgos de personalidad de los padres con hijas adolescentes al inicio de la anorexia nerviosa: un estudio de casos y controles
Authors: Sepúlveda Ana Rosa , Rodríguez-Mondragón Laura , Moreno-Encinas Alba , Anastasiadou Dimitra , Graell Montserrat
Published: September 2023

El objetivo del estudio fue examinar la relación entre los rasgos de personalidad de los padres y sus hijas con anorexia nerviosa (AN) mediante un estudio de casos y controles. Fueron evaluadas 50 chicas adolescentes con AN (G-AN) y 50 chicas sanas (GC), junto con sus padres, con el “Inventario de temperamento y carácter revisado” y el “Inventario de trastornos de la conducta alimentaria-2”. El G-AN y el GC no difirieron en los rasgos de personalidad. Los padres del G-AN mostraron diferencias significativas en los rasgos temperamentales y de carácter en comparación con los padres del GC. Se encontraron relaciones complementarias en la evitación del daño de las madres con la cooperación y la fantasía de las hijas en el G-AN, mientras que en los padres y las hijas se encontraron asociaciones entre la dependencia de la recompensa, la persistencia y la autodirección. La única escala que discriminó entre el G-AN y GC fue la obsesión por la delgadez (clasificación: 74,7%). La identificación de los rasgos de personalidad de padres y adolescentes al inicio de la AN permitirá mejorar la intervención.
Psychological intervention for grief in caregivers of adults diagnosed with intellectual disabilities
Authors: Fernández-Ávalos María Inmaculada , Pérez-Marfil María Nieves , Cruz-Quintana Francisco , Fernández-Alcántara Manuel , Ferrer-Cascales Rosario
Published: September 2023

The objective of this pilot study was to adapt and provide preliminary data of the efficacy of an intervention aimed at family caregivers of adults with intellectual disability to provide them with different coping resources to better cope with their role as caregivers, as well as to reduce the psychological overload and pain associated with the diagnosis. A total of 24 caregivers participated, of which 14 were assigned to an intervention group (IG) and 10 to a control group (CG) through simple randomization. Variables of overload, mental health and feelings of grief produced by the diagnosis were measured. Linear models for repeated measures were used to evaluate the effect of the program. After the intervention, significant differences (p< .5) were found in the dimensions of emotional pain, relational loss and acceptance of loss, and feelings of grief brought on by the diagnosis. In conclusion, it is necessary that this type of program be given early to these caregivers in order to avoid the pathological and chronic grief into which they frequently end up.
Influence of family relationships on the presence of clinical symptoms during emerging adulthood
Authors: Domínguez-Alarcón Paula , Parra Águeda , Sánchez-Queija Inmaculada
Published: September 2023

The relationship between family and mental health has been one of the cornerstones of research into emerging adulthood over the last decade. In the present study, we analyze the relationship between variables linked to family functioning and the presence of clinical symptoms of depression, anxiety and stress during emerging adulthood in Spain. The study had a cross-sectional design and the sample comprised 1,502 students aged 18-29 years (M= 20,32, DT= 2,13) from two Spanish universities. Participants completed questionnaires in pencil-and-paper format. The results indicate that high levels of parental involvement, warmth and autonomy support are associated with a lower presence of clinical symptoms, whereas psychological control is associated with a higher level of said symptoms. These findings demonstrate the relationship between family functioning and the presence of clinical symptoms, as well as the protective -or risk enhancing- role played by family relationships during this life stage.
Influencia de las relaciones familiares en la presencia de sintomatología clínica durante la adultez emergente
Authors: Domínguez-Alarcón Paula , Parra Águeda , Sánchez-Queija Inmaculada
Published: September 2023

La relación entre familia y salud mental ha sido uno de los focos de estudio clave en las investigaciones sobre adultez emergente de la última década. En el presente estudio se analizó la relación entre variables de funcionamiento familiar y la presencia de síntomas clínicos de depresión, ansiedad y estrés durante la adultez emergente en España. Este estudio contó con un diseño transversal y una muestra de 1502 estudiantes de 18-29 años (M= 20,32; DT= 2,13) de dos universidades españolas, que fueron evaluados a través de cuestionarios en papel. Los resultados indican que altos niveles de implicación, cariño y apoyo parental se relacionan con una menor sintomatología clínica, mientras que el control psicológico se relaciona con una mayor sintomatología. Estos hallazgos demuestran la relación que existe entre el funcionamiento familiar y la presencia de síntomas clínicos, así como el papel protector -o de riesgo- que siguen teniendo las relaciones familiares durante esta etapa.
Cognitive insight and schizotypy in non-clinical adolescents
Authors: Alonso Mateo Inmaculada , Felipe-Castaño Elena , Simón Expósito Miguel
Published: September 2023

Cognitive insight is a metacognitive construct that has been shown to be useful in detecting vulnerability to schizophrenia spectrum disorders and, in particular to schizotypy. The main purpose of the study was to analyze the relationship between the cognitive insight and schizotypy in a sample of non-clinical adolescents, and to analyze the sensitivity and specificity of the cognitive insight in differentiating vulnerability to schizotypy. Participants were non-clinical adolescents selected by cluster sampling (school), with random group-class selection. The Cognitive Insight Scale and the Esquizo-Q-A were used. Results: We found a different cognitive insight profile from that found in previous studies, with a lower score in self-reflection and a higher score in self-certainty. Self-reflection and the composite index would allow us to classify participants with risk scores in distortion of reality and interpersonal disorganization. The cognitive insight would be a useful construct for detecting vulnerability to schizotypy in non-clinical adolescents and would allow the design of effective interventions.
Insight cognitivo y esquizotipia en adolescentes no clínicos
Authors: Alonso Mateo Inmaculada , Felipe-Castaño Elena , Simón Expósito Miguel
Published: September 2023

El insight cognitivo es un constructo metacognitivo que ha mostrado utilidad para detectar la vulnerabilidad a trastornos del espectro esquizofrénico, y junto con la esquizotipia, permiten investigar, comprender y ayudar en el tratamiento de estos trastornos. El propósito principal del estudio fue analizar la relación entre insight cognitivo y esquizotipia en una muestra de adolescentes no clínicos, y analizar la sensibilidad y especificidad del insight cognitivo para diferenciar la vulnerabilidad en esquizotipia. Los participantes fueron adolescentes no clínicos seleccionados mediante un muestreo por conglomerados (centro educativo), con selección aleatoria de grupo-clase. Se utilizaron la “Escala Beck de insight cognitivo” y el “Esquizo-Q-A”. Encontramos un perfil de insight cognitivo diferente al encontrado en estudios previos, con una puntuación inferior en autorreflexión y una superior en autocerteza. La autorreflexión y el índice compuesto permitirían clasificar a participantes con puntuaciones de riesgo en distorsión de la realidad y desorganización interpersonal. El insight cognitivo podría ser un constructo útil para detectar la vulnerabilidad a la esquizotipia en adolescentes no clínicos, y permite el diseño de intervenciones eficaces.
Assertive behavior in dementia family caregivers: Development and validation of the Caregiving Assertiveness Questionnaire (CAQ)
Authors: Márquez-González María , Jiménez-Gonzalo Lucía , Gallego-Alberto Laura , Hernández-Gómez Alba , Cabrera Isabel , García-Batalloso Isabel , Losada-Baltar Andrés
Published: September 2023

Dementia family caregivers´ assertiveness may play a significant role in the caregiving stress and coping process, but research analyzing this topic is still scarce. This study presents the psychometric properties of the Caregiving Assertiveness Questionnaire (CAQ) and analyzes the associations between assertiveness and other variables with a relevant role in the caregiving coping process. One hundred and forty-seven family dementia caregivers participated in the study. A three-factor structure (expressing discomfort, facing conflicts and setting limits) was found for the CAQ, which explained a 69.63% of the variance in assertiveness. Significant associations were found between scores in CAQ (total scale and subscales) and variables such as experiential avoidance, cognitive fusion and frequency of leisure. CAQ presents appropriate psychometric characteristics and is a useful assessment tool to take into consideration when designing comprehensive assessment protocols for dementia family caregivers, and designing interventions aimed at helping this population.
Mental health, stressful life events, and abuse in Nicaraguan women
Authors: Rivas-Rivero Esther , Bonilla-Algovia Enrique , Vázquez José Juan
Published: September 2023

The objectives of this article were to analyze the occurrence of stressful life events (SLE), to establish profiles based on the said events by means of classification through cluster analysis, to establish the relationship between the groups obtained and the presence of distress, and to analyze which SLE seem to have had a greater impact on the mental health of 136 women victims of gender violence living in a context of extreme poverty in Nicaragua. The results showed the existence of high levels of depression and anxiety, especially within the group that suffered abuse in their childhood, and that economic problems, the death of people in the family environment and suicide attempts seem to be the SLE that have the greatest influence on the levels reached for the identification of such depressive and anxiety symptoms, above the abuse suffered throughout their lives. In conclusion, learning about SLE in contexts where their occurrence is frequent is essential for intervention with women for whom adversity has become chronic.
Salud mental, sucesos vitales estresantes y maltrato en mujeres de Nicaragua
Authors: Rivas-Rivero Esther , Bonilla-Algovia Enrique , Vázquez José Juan
Published: September 2023

El presente artículo tuvo como objetivos analizar la ocurrencia de sucesos vitales estresantes (SVE), establecer perfiles en función de dichos sucesos mediante el análisis de grupos (clusters), conocer la relación entre los grupos obtenidos y la presencia de distrés, y analizar qué SVE parecen tener un mayor impacto en la salud mental. Participaron 136 mujeres víctimas de violencia de género que viven en contexto de extrema pobreza en Nicaragua. Los resultados mostraron la existencia de altos niveles de depresión y ansiedad, especialmente dentro del grupo que sufrió maltrato en la infancia, y que los problemas económicos, el fallecimiento de personas del entorno familiar y los intentos de suicidio parecen ser los SVE que más influencia tienen en los síntomas depresivos y ansiógenos, por encima del maltrato padecido a lo largo de sus vidas. En conclusión, conocer los SVE en contextos donde su ocurrencia es frecuente es fundamental de cara a la intervención con mujeres sobre quienes la adversidad se ha cronificado.
GOOD CORPORATE GOVERNANCE PENGARUHNYA TERHADAP KINERJA KEUANGAN
Authors: FRIYANTO
Published: September 2023

The study aims to determine and analyze the partial influence of Good Corporate Governance (Managerial Ownership, Independent Board of Commissioners and Audit Committee) on the Financial Performance (Studies on Manufacturing Companies in the Food and Beverage Sector Listed on the Indonesia Stock Exchange in 2017 – 2020). The sample in this study is the financial statements of 8 (eight) companies in the food and beverage sector which are listed on the Indonesia Stock Exchange in 2017- 2020, with a total of 32 financial reports selected using a purposive sampling technique. The results of partial hypothesis testing state that Managerial Ownership has a significant effect on Financial Performance. The Independent Board of Commissioners has no significant positive effect on Financial Performance and the Audit Committee has no significant positive effect on Financial Performance.
PENGARUH OPINI AUDIT TAHUN SEBELUMNYA DAN FINANCIAL DISTRESS TERHADAP OPINI AUDIT GOING CONCERN
Authors: MUYASSAROH  , AKHMAD SIGIT ADIWIBOWO
Published: September 2023

This study aims to determine the effect of the Previous Year's Audit Opinion and Financial Distress on the Going Concern Audit Opinion. The previous year's audit opinion was measured using a dummy variable. Financial distress is measured using the Altman z-score. While the going concern audit opinion is measured using a dummy variable. The population in this study are all financing service sub-sector companies listed on the Indonesia Stock Exchange for the 2017-2021 period. The number of samples in this study were 15 companies obtained through the purposive sampling method, so that 70 sample data were obtained. The type of data in this study is secondary data with quantitative research methods. The analysis technique used is logistic regression analysis. This research was processed using eviews 9 software and showed that (1) the previous year's audit opinion partially influenced the going concern audit opinion. (2) Financial distress does not partially affect the going concern audit opinion. (3) The previous year's audit opinion and financial distress simultaneously influence the going concern audit opinion.
SABARI, IHILASI, DAN SYUKURU (Menguak Nilai-Nilai Kearifan Lokal Dibalik Praktik Akuntansi Keuntungan)
Authors: MOHAMAD ANWAR THALIB  , FEBIOLA JUSUF  , RIKA OKTAVIANI PINGA  , CINDRI TARIKI
Published: September 2023

This research departs from the problem of the lack of profit accounting studies that raise the values of local wisdom. The purpose of this study is to reveal the values of local wisdom behind the profit accounting practice by meatball traders in Gorontalo. This study uses a qualitative method. The results show that profit accounting practiced by meatball traders in Gorontalo is based on local wisdom values in the form of patience (sabari), sincerity (ihilah), and gratitude (syukuru). These three values are reflected in the actions of traders who are still trying to make halal profits despite a drastic decline in income in the midst of the COVID-19 pandemic, and the decision of traders to set aside part of their profits for charitable activities such as making donations and becoming donors for iftar activities in the holy month of Ramadan.
PENGARUH LINGKUNGAN KERJA, BEBAN KERJA DAN BUDAYA ORGANISASI TERHADAP KINERJA PEGAWAI PUSKESMAS
Authors: ADHI SATRIYAWAN  , SUKRISPIYANTO
Published: September 2023

The purpose of this study was to determine and analyze the effect of the work environment, workload and organizational culture on the performance of Pamotan Health Center employees. This type of research is descriptive. The type of data used is primary data. Primary data collection was carried out through questionnaires distributed to Pamotan Health Center staff. Methods of data analysis using descriptive quantitative method, namely with multiple linear regression analysis. The population in this study were Pamotan Health Center employees, totaling 56 people. The sample in this study used the saturated sample method, with a total sample of 56 people.The results obtained from this study indicate that simultaneously work environment, workload and organizational culture have a significant effect on the performance of Pamotan Health Center employees, and partially show work environment, workload and organizational culture have a positive and significant effect on the performance of Pamotan Health Center employees.
PENGARUH MOTIVASI DAN DISIPLIN KERJA TERHADAP KUALITAS PELAYANAN PERANGKAT DESA
Authors: MOCH. MAHRUSIL MAHBUB  , MOH. NASIKH
Published: September 2023

The purpose of this study was to analyze the effect of motivation and work discipline partially on service quality, analyze simultaneously the effect of motivation and work discipline simultaneously on service quality, and analyze the dominant influence between motivation and work discipline variables on service quality. Data analysis techniques in this study were grouped into two, namely: descriptive statistical analysis and inferential statistical analysis (multiple linear regression). The results of the study show that motivation and discipline partially have a significant effect on employee performance. Motivation and work discipline simultaneously have a significant effect on employee performance. Other results can be seen motivational variables that have a more dominant effect on employee performance.
MENGEMBANGKAN MATERI E-BOOK UNTUK PEMBELAJARAN MATA KULIAH APLIKASI KOMPUTER STATISTIK DI STIE INDONESIA MALANG
Authors: MOEHAMMAD NASRI ABDOEL WAHID
Published: September 2023

Penelitian terapan ini bertujuan merancang e-book untuk memberi kemudahan dalam pemahaman materi kuliah yang memerlukan perhitungan. E-book dikembangkan menggunakan Jupyter-book dengan contoh materi Perhitungan Statistika Pengujian Hipotesis.

Metode penelitian, menggunakan ADDIE dengan 5 tahapan yaitu, yaitu Analysis, Design, Development, Implementation dan Evaluation. Metode ini digunakan untuk mengembangkan rekayasa rancang bangun sistem aplikasi web dan phone android berdasar sumber terbuka jupyter-book. Bahasa program menggunakan bahasa python dengan input perhitungan statistika dan output sebuah aplikasi berbasis web (dengan url).

Dari evaluasi terbatas pada mahasiswa yang mengikuti perkuliahan Aplikasi Komputer Statistika, didapat nilai visual e-book dan tingkat kemudahan masing-masing memberikan 80 (baik) dan 90 (mudah).
PENGARUH STRES KERJA DAN TEKNOLOGI INFORMASI TERHADAP KINERJA PEGAWAI DI SMP NEGERI 2 PAKIS KABUPATEN MALANG
Authors: EKO JUNI WAHYUDI  , HASTIRIN WIDI ASTUTI
Published: September 2023

The purpose of this research aimed a) to find and analyze the effect of work stress and information technology on employee performance partially, b) to identify and analyze the effect of work stress and information technology on employee performance simultaneously, and c) to find out and analyze the dominant influence on employee performance. The population in this study was all employees of SMP Negeri 2 Pakis Kabupaten Malang, a total of 35 people. In this stud,y the researchers made the entire population (35 employees) as a sample which was 35 people. The data analysis method used in this research was multiple linear regression analysis. Research results showed; a) the variables of work stress and information technology had a partial effect on employee performance, b) variables of work stress and information technology simultaneously influenced employee performance, and c) information technology variable had the most dominant influences on the performance.

Keywords: work stress, information technology, performance
DAMPAK APLIKASI CHATGPT TERHADAP DUNIA USAHA
Authors: RAYYAN SUGANGGA  , INTAN PERMATA SARI  , BIMA TEGUH WIJAYANTO
Published: September 2023

The use of ChatGPT is increasingly widespread, including in the business world. ChatGPT like technology in general has 2 sides, namely positive and negative sides. This article intends to examine more deeply the potential benefits of ChatGPT in the business world including its negative impacts and risk mitigation. This article is in the form of a critical review of the ChatGPT Application by conducting application user experience testing and literature studies. From this research it can be found that ChatGPT does bring benefits, but also carries negative risks for workers or humans in general, so risk mitigation needs to be prepared such as increasing skills, wisdom and critical thinking.