bluuebunny/crossref_metadata_2025 huggingface dataset:
A simple sequencing protocol for genotyping the HLA-Clocus by the Sanger method
Authors: Pham Tran Thu Ha , Tran Duc Minh , Nguyen Tiep Khac , Phung Thanh Huong
Published: May 2024

The HLA-C gene, which belongs to the HLA superfamily (Human Leukocyte Antigen), codes for the Major Histocompatibility Complex (MHC), which plays crucial roles in the human immune system. This study aimed to develop a simple sequencing protocol by the Sanger method using fewer primers and reactions for genotyping the HLA-C gene than published protocols. The simple protocol with three primers includes one PCR reaction and two sequencing reactions. The primer set comprising SEQ ID1 and SEQ ID2 was used for the PCR reaction to specifically amplify the exon 2 – exon 3 region of the HLA-C locus, which contains the typical SNPs of each HLA-C allele. The PCR product was purified and used as a template for the sequencing reactions. Two forward primers, SEQ ID1 and SEQ ID3 were used for sequencing, in which, the SEQ ID1 forward primer is located in the intron 1 region and the SEQ ID3 forward primer is located in the intron 2 region of the HLA-C gene. Testing the simple sequencing protocol on four samples of known HLA-C genotypes showed 100% accurate results. The established Sanger sequencing protocol is simple to implement, and reduces cost and time. Thus, this protocol can be used for HLA-C sequencing for pharmacogenetic studies and applications.
Customer Service Through Artificial Intelligence in Anjiela Technology Company: A Comprehensive Study
Authors: Zhuo Juntao , Aquino Jet
Published: May 2024

This quantitative descriptive research examined the impact of Artificial Intelligence (AI) on customer service at Anjiela Technology Company in China. Using a sample of 100 customers, data were collected via a structured survey covering AI's influence on customer satisfaction, efficiency, personalization, accuracy, and user-friendliness. The findings highlight AI's positive impact on customer satisfaction, while also identifying areas for improvement, such as reducing wait times and enhancing personalization. Additionally, the study underscores the importance of trust and transparency in AI adoption, addressing customer concerns about data privacy, fairness, and user control. Recommendations include enhancing AI training, addressing technical challenges, improving data quality, ensuring ethical compliance, and enhancing transparency through collaboration among different units within the organization. In conclusion, this research underscores AI's potential for improving customer service and emphasizes the need to address challenges and ethical considerations for effective implementation.
Agropreneurship Training Evaluation Model for Sustainable B 40 Rural Community in Malaysia
Authors: Jaafar Mastura , Jayabalan Sumathi , Suffarruddin Suhaida Herni
Published: May 2024

Entrepreneurial training is one of the key elements that address poverty among the B40 (i.e., the lower-income group) in Malaysia. However, the results of accomplishing the introduced training program have not been proven empirically. This study aims to examine the effectiveness of agropreneur training in sustainable agropreneurship involvement in Malaysia. The four-level Kirkpatrick model and the self-regulation theory have been adopted in this study. A total of 200 respondents participated in a survey a year after the implementation of the program. The respondents perceived that the training program has been a success. The results showed a strong relationship between certain measures of reaction and learning regarding the respondents’ behaviour. More importantly, training has led to significant behavioural changes, which contributed to people’s continuous involvement in agropreneurship. The results have also shown that effective entrepreneurship training has created a significant, positive impact on rural agropreneur sustainability among the participants.
The Influence of Opinion Leaders on Consumer Buying Behavior Among Millennials in Klang Valley
Authors: Kong Chee Kei , Osman Syuhaily
Published: May 2024

Opinion leaders have emerged as individuals with social influence who serve as the core of an interpersonal communication network. The social trends have made opinion leaders significantly influence buying behavior, especially among millennials. A deeper understanding of the characteristics of opinion leadership is still needed and based on the two-step flow theory, we developed a research framework to study opinion leaders’ influence (trust, credibility, and originality) on consumer buying behavior. A simple random sampling method was used, and the sample comprised 398 millennials in Klang Valley, Malaysia. Data were collected via a self-administered questionnaire. Regarding the relationships involving the opinion leaders’ elements, Pearson correlation analysis found that the trust (r=0.545; p=0.00), credibility (r=0.518; p=0.00), and originality (r=0.398; p=0.00) of opinion leaders are significantly related to consumer buying behavior. Multiple regression analysis was then applied to examine the most influential opinion leader factors on millennials’ buying behavior. The result showed that this model contributed a total of 30.7% and that trust (β = 0.368, p = 0.000) is the most influencing factor on millennials buying behavior. Marketers will have an updated perspective on the influence of opinion leaders on consumer buying behavior knowing the profiles of opinion leaders is extremely beneficial for consumers to make wise purchase decisions.
Exploring the Relationship between Consumer Protection and Product Liability: Civil and Islamic Perspectives
Authors: Mohd Shukri Muhammad Hafiz , Ismail Rahmah , Markom Ruzian
Published: May 2024

Consumer protection is an aspect which aims to ensure that consumers are always given adequate protection from a legal perspective and also to increase the level of consumers’ trust in the quality of goods and services, which will, in turn, contribute to the economic growth of a nation. However, today, issues surrounding product liability cases are no longer uncommon, where consumers or third parties face the risk of suffering injury or property damage due to the existence of defects in a particular product. Thus, the main objective of this study is to analyze the relationship between consumer protection and product liability from both civil and Islamic perspectives. The type of research being carried out is doctrinal legal research. The data sources, including case law and statutory provision, are analyzed using content and critical analysis methods. The results show that according to civil and Islamic perspectives, consumer protection in the context of product liability plays a crucial role in conferring legal protection to consumers who are adversely affected by the use of particular products that pose a risk to health and safety. Further, the authors expect that the results of this study shall contribute new and significant knowledge by proving that the aspect of consumer protection is not only related to product liability issues from a civil perspective, but it is also can be evaluated from the Islamic perspective, which the earlier researchers have rarely discussed.
Challenges Faced by the Department of Social Welfare in Empowering People with Disabilities (PWD): A Qualitative Study
Authors: Mat Ali Syukrina Alini , Mohamad Yunus Noor’ain , Abdul Kadir Mohd Ali Bahari , Abdul Kader Jailani Sri Fatiany , Mohd Hassan Naffisah , Ramdan Nurul Fatihah , Kamsari Emily Mirza
Published: May 2024

Empowering people with disabilities and mainstreaming their needs into the national agenda should increase their development opportunities, improve development outcomes, and enhance their quality of life. However, people with disabilities face numerous barriers that impede their full participation in the social, economic, and cultural aspects of life. The Department of Social Welfare plays an essential role in improving the well-being of people with disabilities and makes significant efforts to empower them and combat exclusion. Therefore, this study focuses on examining the role of the social welfare office in empowering people with disabilities. The study aims to identify key factors that facilitate or hinder the empowerment process within the department for persons with disabilities. In this qualitative research, data was collected through focus group discussions with officials from the Department of Social Welfare in Putrajaya. Two main themes emerged from the analysis, namely the strength and support system and the limitations faced by the Department of Social Welfare. The findings emphasize that monitoring progress and offering opportunities for people with disabilities can contribute to their empowerment. Collaboration between the Department of Social Welfare, other government agencies, non-governmental organizations (NGOs), and other parties is critical in promoting positive social change. By leveraging their respective strengths, resources, and expertise, they can create innovative solutions, implement effective policies, and significantly impact society.
Exploring Challenges in Walking Frame Use Among the Elderly: A Study in Klang Valley, Malaysia
Authors: Hussain Mohd Rizal , Ibrahim Rahimah , Md. Yusuff Irwan Syah , SF Salim Mazatulfazura
Published: May 2024

The elderly utilize a walking frame to address deficiencies in balance, coordination, strength, and the risk of falling during walking. Despite previous research highlighting the advantages and benefits of walking frame use for this demographic, some individuals have encountered various issues concerning its use. Thus, this study aims to explore issues of walking frame use among the elderly in Klang Valley, Malaysia. A total of 30 participants of community-dwelling elderly aged 60 and above in Selangor and Kuala Lumpur who are current and former walking frame users and were selected via purposive sampling, were involved in this study. This study utilized the qualitative approach using semi-structured questions. Interview data in the form of verbatim transcripts were analyzed thematically. The majority of respondents were female with a mean age of 71.7 years old, (SD=8.06), Malay, married, primary education level, retirees, living with a spouse and children and staying in Selangor. On the health aspect, the majority of them had hypertension and Body Mass Index (BMI) was pre-obese (25.0 – 29.9 kg/m2). In terms of walking frame usage, most respondents used a standard walking frame (without wheels), used a walking frame for 1 year or less, purchased it by themselves or through family members, indoor usage and reason for use because of leg weakness due to injury. Thematic analysis results show that there were several issues identified such as the respondents’ physical and psychological condition, as well as walking frame issues on quality, design, use and cost. Furthermore, issues concerning the physical environment of the home were reported. It is hoped that these findings can serve as a reference for relevant parties to further explore aspects related to the use, product development, and management of physical environments concerning walking frames.
Predictor Factors Influencing Young Adults’ Purchase Intention of Organic Food in Kuala Lumpur, Malaysia
Authors: Gopal Kanesh , Song Bee Lian
Published: May 2024

This study is conducted to further understand the various behaviors of young adult consumers when it comes to organic food purchases. The study utilizes the AMOS SEM (v.24) tool to capture the relationship between the independent variables (perceived behavioral control, attitude, and subjective norm) and the dependent variable (the purchase intention of young adults). Young adults shape a growing demography in the heart of the capital city of Kuala Lumpur. It is crucial for scholars to further understand their purchasing interest, especially concerning organic food. Convenience sampling was utilized in this study as it is a practical method to capture the views of young adults in urban areas. A total of 200 respondents were tested in this study. Data was collected in areas such as shopping malls and cafes as it is more populated with younger crowds. Responses were collected via a 5-scale Likert-based questionnaire with items adapted from various past literature, and internal consistency tabulated through Cronbach’s Alpha, Average Variance Extracted, and Composite Reliability. The hypotheses were further verified using Confirmatory Factor Analysis, revealing valid significance in the notion that subjective norm and perceived behavioral control do indeed influence young adults in their purchase intentions of organic food products. Based on the results achieved, these results imply that young adults still very much rely on their peers and filial support as well as a perceived internal emotional control over their spending choices to make decisions when buying organic food.
Modeling of Determinants’ Influence on Consumer Behavior Towards Counterfeit Products in Indonesia and Malaysia
Authors: Hartono Sri , Farradia Yuary , Hariadi DP Agustinus
Published: May 2024

This study investigates customer behavior in the context of purchasing counterfeit products. Specifically, it seeks to assess consumer awareness regarding value consciousness, ethical considerations, and legal sensitivity, which are believed to impact their attitudes and behavior. The study was carried out in both Indonesia and Malaysia. This study uses Smart PLS as a quantitative method and includes a sample of 360 respondents from Indonesia (180) and Malaysia (180) who have bought different types of counterfeit products. This study provides evidence that there is no significant disparity in the consumption intentions of counterfeit products between Indonesians and Malaysians since both nations display a similar trend. The results from both countries are in agreement, indicating that value awareness has a favorable and substantial impact on attitudes, personal gratification has an unfavorable and significant effect on attitudes, ethical sensitivity has a favorable and substantial impact on attitudes, and legal sensitivity has a favorable and substantial effect on attitudes. The impact of attitudes on behavioral intentions is positive and essential, as are subjective norms, perceived behavioral control, and habits. Policymakers must acknowledge this conclusion, as business entities that become victims of counterfeit products will inevitably encounter significant challenges if this issue remains unattended. The issue of counterfeit goods in Indonesia and Malaysia has substantial financial implications for both the government and enterprises. Consequently, law enforcement agencies assume a crucial role in addressing this problem.
Childcare Matters and How Financial Assistance Increases Mothers’ Participation in Malaysia’s Labour Market
Authors: Mohd Amin Suhaida , Kashkouli Zohreh , Zaid Zakirah
Published: May 2024

Malaysia is one of the ASEAN countries that is lagging behind others in terms of women’s employment level. The main reason for the lack of women in the workforce is childbearing. This study investigates the relationship between childcare matters (availability, education, quality, and cost of childcare) and mothers’ participation in the labour market. Besides, this research examined whether financial assistance relates to mothers’ employment participation. With the purposive sampling technique, the questionnaires were distributed through the online platform. Of the 513 respondents who had completed the survey, 394 were working, and 119 were not working. Besides, 276 (53.8%) respondents send their children to a registered childcare centre and 101 (19.7%) to an unregistered childcare centre. Besides, 136 (26.5%) respondents personally attend to the care of their children; this includes those who alternate child-rearing responsibilities with their partners due to differing work schedules. The binary logistic regression analysis found that childcare availability and childcare cost were significant, while childcare education and childcare quality were not. With positive and significant results, bootstrap analysis established that financial assistance is a mediator between the cost of childcare and a mother’s participation in the labour market. Based on the current situation in Malaysia, where financial assistance for childcare is limited and not comprehensive, this study suggests that the government increase the financial assistance provided. In addition, it is appropriate to conduct a study to provide evidence for the extent to which the existing financial assistance can help increase the participation of mothers in and continue to increase in the labour market.
The Study of Environmentally Responsible Behaviour in Household Electronic Waste Reverse Logistics: A Systematic Review
Authors: Muhammad Azlina , Muhammad Hussein Muhammad Zaly Shah , Zulfakar Mohd Hafiz , Sundram Veera Pandiyan Kaliani
Published: May 2024

This study aims to use a systematic literature review (SLR) as the research methodology on environmentally responsible behaviour in household electronic waste reverse logistics. Specifically, the study aims to examine the environmentally responsible behaviour in household e-waste reverse logistics and the factors that affect these behaviours. A systematic literature review is conducted in which studies published between 2015 and 2023 have been identified from ProQuest, Emerald, and Science Direct databases. A total of 27 studies have been found and analysed in the SLR. This review shows that consumers have expressed multiple behaviours and behaviour patterns. In addition, the study establishes a range of factors that affect consumer behaviours in household e-waste reverse logistics. The results of this study are important for recognising the global phenomenon of electronic waste. The results of this study offer valuable perspectives on consumer behaviour and understanding of the recycling of electronic waste, emphasising the need for better education and promotion of appropriate disposal options. These findings can provide valuable insights for developing effective policies and practices at both the organisational and socio-political levels, resulting in a more sustainable system for managing electronic waste. Furthermore, the research reveals important factors influencing individuals’ e-waste recycling behaviour, offering useful insights for professionals and policymakers in formulating strategies and regulations promoting consumer engagement in e-waste recycling.
Determinants of Consumers’ Intention to Use Mobile Banking in Malaysia: The Moderating Role of Education
Authors: Jafri Johan Ariff , Mohd Amin Syajarul Imna , Abdul Rahman Aisyah , Mohd Nor Shifa , Fachrudin Khaira Amalia
Published: May 2024

Despite its plausible proliferation, Fintech entails increasing cybersecurity and trust issues. Thus, education is vital in moderating factors related to technology acceptance in using Fintech. This research aims to investigate the factors that influence Malaysian consumers to utilise mobile banking services. It integrates the UTAUT (Unified Theory of Acceptance and Use of Technology) model with perceived security and trust and uses education as a moderator. It used the convenience and quota sampling technique, with 399 responses collected through a survey. PLS-SEM analysis discovered that social influence and performance expectancy positively impacted the willingness of individuals to adopt mobile banking. Meanwhile, effort expectancy, system quality, trust, and perceived security are insignificant. Education moderates the relationship between intention and one factor (social influence). This research enlightens banks and policymakers in understanding consumer behaviour in promoting Fintech applications in banking.
Implementation of Digital Policy Experimental Analysis in Higher Education on The Level of Graduates' Absorption in Industry
Authors: Isna Juwita  , Saeful Rohman  , Vivid Violin  , Akhmad Ramli  , Ardhana Januar Mahardhani
Published: May 2024

This research aims to analyze the impact of deregulation of the university system on the labor market. We used a sample of 100 people in this research. The research results indicate that without deregulation, most individuals who access university studies would likely only pursue their education. This study uses the year or birth cohort as an exogenous characteristic to implement the instrumental variable strategy. This makes it possible to estimate the causal impact of university education on several employment outcomes, especially wages and labor informality. An admitted university estimates that each year of study will increase the salary. We estimate the cumulative impact of access to university studies. However, the effect of university education on wages turns out to be heterogeneous, depending on individual socio-economic characteristics. The effect tends to be higher in women and individuals in the highest family income quintile. The evidence aligns with other international research regarding the salary premium of university education and its impact on human capital. The results show that for each year of university study, the probability of informality in employment decreases, notably reducing the probability of not having an employment contract. However, we found no significant impact on the probability of not having a pension fund affiliation, suggesting a structural dimension of informality in the labor market that may not be dependent on workers' education level.
Analysis of Digital Literacy Sources to Identify The Relationship Between Population Income, Socio-Economic and Subjective Well-Being
Authors: Tanti Widia Nurdiani  , Nofirman  , Muhammad Reza Aulia  , Gede Wirabuana Putra  , Iwan Henri Kusnadi
Published: May 2024

This research aims to analyze income inequality and subjective welfare in a region. This study uses microdata from household surveys to calculate income inequality. We conducted this survey using an identical questionnaire with a sample of adults. The sample size is around 100. One of the main findings of this study is that regions that were traditionally considered to have greater inequality no longer have this attribute when compared to regional and global levels. This reflects a shift in the pattern of inequality in the region. A positive correlation was also found between income inequality and subjective well-being, as well as a curve when comparing subjective well-being inequality with products. These results suggest that there is a complex relationship between these factors in the context of inequality. However, when compared with the level of subjective well-being, there is a very negative relationship, which may indicate an individual's preference to live in areas that are more egalitarian in terms of well-being. This indicates that subjective well-being perceptions are also influenced by factors other than income, such as access to facilities and services. Although these results are interesting, it is important to remember that this study has problems and limitations in terms of the survey and methods used. Therefore, these results should be interpreted with caution and can serve as a basis for further research to understand more deeply the relationship between income inequality, subjective well-being, and other factors that influence perceived well-being.
Structural Model Analysis of The Relationship Between Cross-National Trade, Use of Technology and Labor Costs
Authors: Moh. Samsul Arifin  , Teguh Prakoso  , Aprilya Dwi Yandari  , Rina Apriliani  , Abdurohim
Published: May 2024

This research aims to quantify the costs of job mobility, emphasizing the differences in costs faced by workers with different qualifications. Our analysis uses the Ordinary Least Squares and Instrumental Variables. The impact of trade and technological reforms on workers' welfare is largely dependent on the level of economic flexibility. In this context, high labor mobility costs become an important factor in analyzing the impact of trade policies. Despite workers' high mobility between job sectors, traditional theory suggests that this flexibility may not be as strong due to the greater influence of non-financial factors. This suggests that there needs to be a different policy approach to managing the impact of trade and technology reforms to ensure worker well-being and overall economic stability. Trade and technology reforms often result in increased efficiency, but they also incur certain costs. The finding that unskilled workers have higher mobility costs than semi-skilled workers is interesting, as it suggests that there are greater barriers for unskilled workers to move between employment sectors. The impact of slow adjustments in the labor market due to high mobility costs is also important, as this indicates that the economy takes a long time to adapt to changes, both from trade and technological reforms. This has long-term implications for the well-being of negatively affected workers, depending on the particular model parameters. It is important to continue to deepen our understanding of the costs of mobility and labor market adjustment, as this will help in designing better policies to support workers impacted by economic reform and change.
Implementation of DevOps in healthcare systems
Authors: Akinola Omolola Abimbola , Oyerinde Omowunmi , Akinola Akintunde
Published: May 2024

The integration of DevOps practices within healthcare systems has emerged as a promising approach to enhance agility, efficiency, and reliability in delivering healthcare services. This systematic review explores the implementation of DevOps methodologies within healthcare contexts, focusing on its impact on quality of care, operational efficiency, and overall system performance. Through a comprehensive analysis of existing literature, this review synthesizes key findings, challenges, and best practices associated with DevOps adoption in healthcare. The review highlights successful case studies, identifies common patterns in DevOps implementation, and examines the role of cultural transformation, automation, and collaboration in fostering successful DevOps practices within healthcare organizations. Additionally, this review discusses the potential benefits and limitations of applying DevOps principles in healthcare settings, offering insights for practitioners, researchers, and policymakers seeking to leverage DevOps to improve healthcare delivery.
Privacy-Preserving Architectures for AI/ML Applications: Methods, Balances, and Illustrations
Authors: Padmanaban Harish
Published: May 2024

With the widespread integration of artificial intelligence (AI) and blockchain technologies, safeguarding privacy has become of paramount importance. These techniques not only ensure the confidentiality of individuals' data but also maintain the integrity and reliability of information. This study offers an introductory overview of AI and blockchain, highlighting their fusion and the subsequent emergence of privacy protection methodologies. It explores various application contexts, such as data encryption, de-identification, multi-tier distributed ledgers, and k-anonymity techniques. Moreover, the paper critically evaluates five essential dimensions of privacy protection systems within AI-blockchain integration: authorization management, access control, data security, network integrity, and scalability. Additionally, it conducts a comprehensive analysis of existing shortcomings, identifying their root causes and suggesting corresponding remedies. The study categorizes and synthesizes privacy protection methodologies based on AI-blockchain application contexts and technical frameworks. In conclusion, it outlines prospective avenues for the evolution of privacy protection technologies resulting from the integration of AI and blockchain, emphasizing the need to enhance efficiency and security for a more comprehensive safeguarding of privacy.
Examining Ethical Aspects of AI: Addressing Bias and Equity in the Discipline
Authors: Shuford Jeff
Published: May 2024

he rapid progress in implementing Artificial Intelligence (AI) across various domains such as healthcare decision-making, medical diagnosis, and others has raised significant concerns regarding the fairness and bias embedded within AI systems. This is particularly crucial in sectors like healthcare, employment, criminal justice, credit scoring, and the emerging field of generative AI models (GenAI) producing synthetic media. Such systems can lead to unfair outcomes and perpetuate existing inequalities, including biases ingrained in the synthetic data representation of individuals.This survey paper provides a concise yet comprehensive examination of fairness and bias in AI, encompassing their origins, ramifications, and potential mitigation strategies. We scrutinize sources of bias, including data, algorithmic, and human decision biases, shedding light on the emergent issue of generative AI bias where models may replicate and amplify societal stereotypes. Assessing the societal impact of biased AI systems, we spotlight the perpetuation of inequalities and the reinforcement of harmful stereotypes, especially as generative AI gains traction in shaping public perception through generated content.Various proposed mitigation strategies are explored, with an emphasis on the ethical considerations surrounding their implementation. We stress the necessity of interdisciplinary collaboration to ensure the effectiveness of these strategies. Through a systematic literature review spanning multiple academic disciplines, we define AI bias and its various types, delving into the nuances of generative AI bias. We discuss the adverse effects of AI bias on individuals and society, providing an overview of current approaches to mitigate bias, including data preprocessing, model selection, and post-processing. Unique challenges posed by generative AI models are highlighted, underscoring the importance of tailored strategies to address them effectively.Addressing bias in AI necessitates a holistic approach, involving diverse and representative datasets, enhanced transparency, and accountability in AI systems, and exploration of alternative AI paradigms prioritizing fairness and ethical considerations. This survey contributes to the ongoing discourse on developing fair and unbiased AI systems by outlining the sources, impacts, and mitigation strategies related to AI bias, with a particular focus on the burgeoning field of generative AI.
Harmonizing Compliance: Coordinating Automated Verification Processes within Cloud-based AI/ML Workflows
Authors: Akter Sohana
Published: May 2024

The significance of ensuring security and upholding data privacy within cloud-based workflows is widely recognized in research domains. This importance is particularly evident in contexts such as safeguarding patients' private data managed within cloud-deployed workflows, where maintaining confidentiality is paramount, alongside ensuring secure communication among involved stakeholders. In response to these imperatives, our paper presents an architecture and formal model designed to enforce security measures within cloud workflow orchestration. Central to our proposed architecture is the emphasis on continuous monitoring of cloud resources, workflow tasks, and data streams to detect and preempt anomalies in workflow orchestration processes. To accomplish this, we advocate for a multi-modal approach that integrates deep learning, one-class classification, and clustering techniques. In essence, our proposed architecture offers a comprehensive solution for enforcing security within cloud workflow orchestration, harnessing advanced methodologies like deep learning for anomaly detection and prediction. This approach is particularly pertinent in critical sectors such as healthcare, especially during unprecedented events like the COVID-19 pandemic.
Creating an AI-powered platform for neurosurgery alongside a usability examination: Progressing towards minimally invasive robotics
Authors: Reddy Kalli Venkata Dinesh
Published: May 2024

Recent advancements in artificial intelligence have paved the way for promising applications in neurosurgery, aiming to improve patient outcomes while minimizing risks. This paper introduces a novel AI-driven system designed to assist neurosurgeons in accurately identifying and localizing brain tumors. Leveraging deep learning algorithms, the system was trained on a comprehensive dataset of brain MRI scans for segmentation and classification tasks. Evaluation of the system on an independent set of brain MRI scans revealed an average Dice similarity coefficient of 0.87, indicating high performance. Moreover, a user experience assessment conducted at the Department of Neurosurgery, University Hospital Ulm, demonstrated notable enhancements in accuracy, efficiency, and reduced cognitive load and stress levels among users. Notably, the system showcased adaptability across various surgical scenarios and provided personalized guidance to users. These findings underscore the potential of AI to augment the quality of neurosurgical interventions and ultimately enhance patient outcomes. Future endeavors will focus on integrating this system with robotic surgical tools to facilitate minimally invasive surgeries.
Cultivating Privacy in Collaborative Data Sharing through Auto-encoder Latent Space Embeddings
Authors: Raja Vinayak , Chopra Bhuvi
Published: May 2024

Ensuring privacy in machine learning through collaborative data sharing is imperative for organizations aiming to leverage collective data without compromising confidentiality. This becomes particularly crucial when sensitive information must be safeguarded throughout the entire machine learning process, spanning from model training to inference. This paper introduces a novel framework employing Representation Learning through autoencoders to produce privacy-preserving embedded data. Consequently, organizations can share these representations, fostering improved performance of machine learning models in scenarios involving multiple data sources for a unified predictive task downstream.
Implementing Serverless Architecture: Discuss the practical aspects and challenges
Authors: Tembhekar Prachi , Shanmugam Lavanya , Devan Munivel
Published: May 2024

Function as a Service (FaaS) has garnered significant attention for its approach to deploying computations to serverlessbackends across various cloud environments. It simplifies the complexity of provisioning and managing resources for applications by leveraging cloud providers' capabilities, offering users an illusion of perpetual resource availability. Among these providers, the AWS serverless platform stands out, offering a novel paradigm for cloud application development, abstracting away concerns about underlying hardware infrastructure while ensuring scalability, security, and cost-effectiveness.However, due to the absence of standardized benchmarks, serverless functions often rely on ad-hoc solutions for building cost-efficient and scalable applications. The development of the SeBS framework has addressed this gap, enabling comprehensive testing, evaluation, and performance analysis across different cloud providers. While previous research has explored serverless platforms among various providers, little attention has been given to AWS Lambda service's performance within the ARM64 architecture and its comparison with traditional x86 architectures.
Pain-related fear, fear of movement and pain catastrophizing in fibromyalgia syndrome: a transdiscip
Authors: González Lara Cristina , Galvez Sánchez Carmen María
Published: May 2024

Una revisión narrativa se llevó a cabo en el presente estudio con el objetivo de analizar la relación entre el miedo relacionado con el dolor, el miedo al movimiento y la catastrofización del dolor.
La reincidencia de las firmas de auditoría sancionadas: Evidencia sobre la calidad de auditoría
Authors: CASTELLANOS RAMÍREZ IRENE , Porcuna Enguix Rubén
Published: May 2024

El estudio examina la calidad de auditoría de las firmas de auditoría que fueron sancionadas por el ICAC y que posteriormente reinciden. Los resultados evidencian que la calidad de auditoría en la reincidencia es significativamente menor.
Análisis de un experimento para la detección de axiones de materia oscura mediante cavidades resonantes y qubits.
Authors: Padilla Gandia Marc , Díaz Morcillo Alejandro
Published: May 2024

En este trabajo se analiza una configuración de dos cavidades con un qubit. Se estudia, mediante simulaciones de diferentes geometrías del sistema qubit-cavidades, el comportamiento de los principales parámetros de funcionamiento del sistema.
HLS design of an arbitrary size systolic array for QRD on FPGA
Authors: Hormigo Jiménez Pablo , Hormigo Aguilar Fco Javier
Published: May 2024

In this article, we present an HLS implementation of a high-throughput FPGA
design for QR factorization that is scalable to matrices of arbitrary size.
Transparencia digital y ODS:
El caso de los Gobiernos locales de España
Authors: Galeano Gomes Gabriela , Merello Paloma
Published: May 2024

Este estudio investiga la transparencia en línea en la divulgación de información de los Objetivos de Desarrollo Sostenible (ODS) por parte de los gobiernos locales españoles con más de 20,000 habitantes.
Estudio lingüístico acerca de las peculiaridades geolectales, semánticas y de registro en el nombre de las casetas de la Feria de Sevilla 2024
Authors: Mateo Hurtado Martín , Álvarez López Cristóbal José
Published: May 2024

El presente estudio consiste en una revisión del listado de nombres oficiales registrados en la Delegación de Fiestas Mayores del ayuntamiento de Sevilla para la feria de la ciudad celebrada en 2024.
OPTIMIZACIÓN DE TÉCNICAS INMUNOHISTOQUÍMICAS PARA EL ESTUDIO DEL CORAZÓN ADULTO DE RATÓN
Authors: Chinchilla Moreno Marta , Pérez Pomares José María
Published: May 2024

Estudio realizado en corazón adulto de ratón sobre las distintas técnicas y protocolos usados en la inclusión de muestras para optimizar su elección en pos de una mayor fiabilidad en Anatomía Patológica.
CLASSIFICATION AND GENERATION OF BONE FRACTURE PATTERN IMAGES
Authors: Camacho García Ruben , Jiménez Delgado Juan José
Published: May 2024

Las fracturas óseas representan un
contratiempo considerable a tener en cuenta en la medicina moderna. El aumento de la esperanza de vida que experimentamos anualmente implica un mayor deterioro por el paso del tiempo de nuestros huesos.
DESARROLLO DE MODELOS
CELULARES DE PROGRESIÓN
TUMORAL EN CÁNCER DE
PÁNCREAS POR MODIFICACIÓN
DE LOS LOCI KRAS Y TP53
Authors: Alcántara Zamora Elena , Real Pedro
Published: May 2024

Revisión bibliográfica donde se han recopilado los principales estudios sobre PDAC y las modificaciones genéticas más frecuentes con el objetivo de desarrollar un modelo celular de progresión tumoral por modificación de dos loci.
“UN VIAJE DE IDA Y VUELTA”.
ESTUDIO DE LA IDENTIDAD DE
BILBO BOLSÓN EN EL HOBBIT
Authors: Bueno Purificaçao Yeray , Oliveros Garcia Jaime
Published: May 2024

El presente trabajo aborda el estudio de la identidad en un personaje fantástico como puede ser Bilbo en la obra de J. R. R. Tolkien, El Hobbit.
Integrating STXBP1 syndrome phenotypes
Authors: ALBA ROBLES ANTONIO , Esteban Ruiz Francisco José
Published: May 2024

In this study, we explored the phenotype-genotype spectrum of STXBP1 syndrome from a systems biology approach. We carried out a comparative analysis between the Human Phenotype Ontology and recent scientific findings using computational techniques.
HIDRODINÁMICA DE CUERPOS
SUBMARINOS BIOINSPIRADOS.
PARTE I:
INSTRUMENTALIZACIÓN Y
CARACTERIZACIÓN DEL FLUJO
Authors: Jiménez Moreno Juan Manuel , RUIZ RUS JAVIER
Published: May 2024

En este trabajo se lleva a cabo la implementación de una instalación experimental instrumentalizada y destinada al estudio detallado de la hidrodinámica de cuerpos submarinos bioinspirados.
BÖLGELER ARASI EKONOMİK GELİŞMİŞLİK FARKLILIKLARINI ETKİLEYEN FAKTÖRLER
Authors: Güven Oktay
Published: May 2024

Türkiye’de bölgeler arası ekonomik gelişmişlik farklılıkları önemli bir sorun olarak varlığını devam ettirmektedir. Bu durum gelir dağılımında adaletsizlik, yoksulluk, ülke içi göç hareketliliği olmak üzere toplumsal ve sosyal birçok sorunu da beraberinde getirmektedir. Bu araştırma Türkiye’de bölgeler arası ekonomik gelişmişlik farklılıklarının altında yatan nedenleri, seçilmiş göstergeler yardımıyla irdelemek ve gelişmişlik farklılıklarının azaltılmasına yönelik öneriler geliştirmek amacıyla yapılmıştır. Araştırma kapsamında Türkiye İhracatçılar Meclisi, Türkiye İstatistik Kurumu ve Gelir İdaresi Başkanlığı veri tabanından elde edilen ikincil veriler kullanılmıştır. Araştırma neticesinde, girişimciliğin bölgelerde farklı düzeyde gelişmiş olması, beşeri sermaye ve nüfus dağılımında dengesizlik ile ihracat performansı bölgeler arası ekonomik gelişmişlik farklılıklarının nedenleri olarak tespit edilmiştir. Söz konusu farklılıkların azaltılması için düşük gelire sahip bölgelerde girişimciliğin yeni ve daha güçlü mekanizmalarla teşvik edilmesi, yaşam standartları bakımından bölgeler arasında mevcut olan farkların giderilmesi ve kırsal nüfusun yoğun olduğu bölgelerde tarım sektörünün sunduğu potansiyelin harekete geçirilmesi gerekmektedir. Bunun yanında doğal kaynaklar ile yöresel ürünlerin ihracattaki payını artırmaya yönelik adımların atılması önerilmektedir.
Cryptocurrency Market Dynamics: Trends, Volatility, and Regulatory Challenges
Authors: Asif Zohra , Unar Summera
Published: May 2024

The research paper takes a deep dive into crypto currency market dynamics and regulation to bridge the gap of understanding these issues with implications for the economy. The arrival of crypto-currencies changes the terrain of finance completely by bringing in a new asset class with unprecedented level of volatility. Through this research paper, we will try to conduct a thorough investigation into the relationships within the crypto currency market, which will cover trend analysis, volatility patterns, and sketching the volatile regulatory status that accompanies this evolving environment. By adopting a holistic strategy including quantitative data analysis, qualitative research and regulatory watch, this paper will contribute to the knowledge about the mechanisms behind crypto currency markets and provide actionable strategies to the stakeholders enabling them to determine a clear course of action in this dynamic environment. The research is seeking to offer essential impressions about crypto currency ecosystem dynamics and regulatory pressure as a contribution to getting a bigger understanding of the sector which is emerging fast.
Analyzing the Software Architecture of ML-based Covid-19 Detection System: Future Challenges and Opportunities
Authors: Sabir Romaisa , Hassan Salman , Ittifaq Muhammad Hamza , Iqbal Muhammad Waseem , Raza Mohsin , Raza Ahmad , Fatima Pehroze
Published: May 2024

Two major study topics have emerged because of the challenges in software architecture and ML working together, as modern software systems produce a vast amount of data that is supported particularly by machine learning (ML), and artificial intelligence (AI) to produce useful insights. Software architecture for machine learning systems that primarily concerned with creating architectural methods for creating ML systems more effectively; ii) ML for Software architectures is concerned with creating ML methods for better-developing software systems. This study focuses on the ML-based software systems' architecture to highlight the many architectural methods currently in use. To more clearly identify a set of acceptable standards for designing ML-based software systems, we explore four crucial components of software architecture in this work that demand the focus of ML and software developers. These areas are based on an ML-based software system for addressing challenges in the COVID-19 detecting system.
Structural Relationship of Metacognitive Beliefs, Stress, Attachment Styles with Anorexia Nervosa Mediated by Self-Image
Authors: Kashani Vahid Sara , Mohammadi Aria Alireza , Abolmaali Alhosseini Khadijeh
Published: May 2024

Objective: The aim of this study was to determine the structural relationship between metacognitive beliefs, stress, attachment styles, and anorexia nervosa mediated by self-image. Methods: This research is a descriptive correlational study and is a type of modeling research; the study population included female middle school students from Tehran in the 2022-2023 academic year. The research sample was collected through convenience sampling. Participants included 215 female students who completed online questionnaires on Anorexia Nervosa (Stice et al., 2004), Body Self-Image (Rue & Associates, 1999), Anxiety, Depression, Stress-21 (Lovibond & Lovibond, 1995), Metacognitive Beliefs-30 (Cartwright et al., 2004), and the Adult Attachment Styles Questionnaire (Besharat, 2005). Data were analyzed using the Partial Least Squares method in SPSS and Smart-PLS software. Findings: The results showed that the modified structural relationship model of metacognitive beliefs, stress, and attachment styles with anorexia nervosa mediated by body self-image had the necessary fit. Conclusion: Based on the results obtained, it can be concluded that body self-image played a mediating role in the relationship between metacognitive beliefs, stress, and attachment styles with anorexia nervosa.
Families, Disability, and Wellbeing in Canada [Issue brief]
Authors: Campbell Margaret
Published: May 2024

The families of persons with disabilities are crucial sources of care for the disabled family member(s). But, providing care for a family member with a disability poses unique challenges that can affect family wellbeing. This is mainly true for families with little social, emotional, and financial support. Many families with disabilities are vulnerable to poor wellbeing, and there are gaps in our understanding of these vulnerabilities and how to adequately address them. More work needs to be done to better understand and support them.
Morphological and Histological Changes in Placentae of Hypertensive Women.
Authors: Qureshi M. A  , Shaikh B. A  , Mangi M.M  , Bhurgri G.R
Published: May 2024

Objective: To determine the changes in placentae in pregnant ladies suffering from pregnancy induced Hypertension.Research Design: A cross sectional studyPlace and duration: Sampling was done of the patients from the OPD’s of Taluka hospital Hala and basic healthunit Hala old, with collaboration of department of Anatomy, Baqai Medical University, Karachi, from june-2011-Dec- 2011Material and Methods: Placentae were preserved in 10% formalin of Merck Company and studied macroscopically as well as microscopically. These features include shape, size, and site of attachment of umbilical cord,central thickness and diameter (in centimeter, diameters) and weights (in grams) of fully developed placentae.Microscopic feature will include infarction, placental haemorrhage, villous edema, hyper vascularity and increaseproduction of syncytial epithelial knots.Results: Central thickness (Mean ± S.D ± SEM) of hypertensive placenta 2.2 ± 0.58 ± 0.11 were significantlyless (p<0.01) as compared to normal placenta 3.0 ± 0.03 ± 0.01. Hypertensive placenta diameter 19.5 ± 5.10 ±0.93), weight 524.4 ± 154.7 ± 28.4.Conclusion: Eclampsia causes significant morphological changes in placenta that affects fetal and maternalwellbeing. This study is helpful for those who are concerned for mother and child health.Keywords: Placentae, Eclampsia, Macroscopy, Microscopically.