bluuebunny/crossref_metadata_2025 huggingface dataset:
Ixora Coccinea Extract for Biosynthesis of Titanium Dioxide Nanoparticles: A Precursor for Organic Electronics
Authors: Balogun Sunday , Oyeshola Hakeem , Bello Sefiu , Ojo Samuel
Published: October 2024

This study explores the synthesis, characterization, and evaluation of titanium dioxide nanoparticles (TiO2NPs) as a precursor for the electron transport layer in organic electronics. Traditional physical and chemical synthesis methods are not environmentally friendly or economical, due to the use of toxic chemicals and high energy. However, biosynthesis offers a low-cost, eco-friendly alternative. The synthesized NPs were characterized using various techniques, including X-ray diffraction technique, transmission electron microscopy, scanning electron microscopy, Fourier Transform Infra-red microscopy, electron dispersive X-ray, and UV-visible spectroscopy with a four-point probe equipped with Keithley2400 source meter. Results showed high crystallinity and a band gap energy of 4.02 eV. Electrical properties show sheet resistance, resistivity and conductivity as 67.22 x 106 Ω, 1.71 x 106 Ωm-1 and 0.585 x-6 Sm-1 respectively which were promising, with better photovoltaic characteristics than pure titanium dioxide. These properties suggest potential applications as an electron transport layer for solar cell technology.
Electrical Study of Changes in Impedance and Internal Parameters of Nano Structures of Molybdenum Disulfide Semiconductor Type (MoS2-2H/3R) with Changes in Temperature
Authors: AlHussein Hussein , AlSharr Jamal , AlKhamisy Hasan
Published: October 2024

MoS2 nanostructures were prepared using the hydrothermal method by reacting ammonium heptamolybdate tetrahydrate ((NH4)6Mo7O244H2O) with citric acid monohydrate (C6H8O7H2O) in distilled water with the presence of sodium sulfide (Na2S), we have found from the Arenos diagram that the value of the activation energy of (MoS2 -2H/3R) is low and equal to Ea= 0.0505 (e.V). From the atomic force microscope (AFM) images, we found that the size of the surface aggregates of the sample (table - MoS2-2H/3R) ranges between (100-150) n m. From studying the changes in the impedance with different temperatures (T = 15, 30, and 60), we found that impedance is inversely proportional to both the applied frequency and the temperature, and at the frequencies the response corresponding to the temperature reaches a value of (Z = 20 K.Ω, T = 15°C). ) and at temperature (Z = 8.02 K.Ω, T = 30 °C), and at (Z = 17.1 K.Ω, T = 60 °C), It has been shown that the number of electric charge carriers (Nd) increases with increasing temperature. On the contrary, we found a decrease in the number of electronic traps (Ns) and a decrease in the relaxation time τP with increasing temperature.
MECHANICAL PERFORMANCE OF FIBER-REINFORCED SELF-COMPACTING CONCRETE: COMPARATIVE ANALYSIS AND STRUCTURAL IMPLICATIONS
Authors: M. Harlea Shrikant , Bhagat Amol , Zanjad Nilesh , Wankhade Rajan , Ingole Ruchita
Published: October 2024

The primary focus of this paper's analysis of the mechanical static behavior of concrete reinforced with steel fibers is its classification based on differences in mix design and fiber concentration. To find out the uniaxial compressive and tensile strengths, experimental experiments were run. Different mix patterns and fiber lengths were combined to create a variety of combinations with fiber percentages varying from 1% to 2% by volume. Uniaxial compression testing was used to mechanically characterize the SFRC in order to determine its ultimate compressive strength. Furthermore, ductility and first crack strength indices were evaluated using bending test with four-point consisted of the notched specimens. The evaluation of SFRC's tensile strength was conducted using both analytical modeling and experimental methods. The results of the experiments showed that the SFRC behaved differently depending on the length and fiber content. Direct tensile strength was calculated theoretically using an analytical model from the literature and compared to the experimental findings. The comparison showed a generally good agreement, confirming the results of the investigation.
A COMPREHENSIVE REVIEW ON GRAPHENE: HISTORICAL DEVELOPMENT, PROPERTIES, APPLICATIONS, CHALLENGES AND FUTURE SCOPE
Authors: Rai Rishabh , Kumar Santosh
Published: October 2024

Graphene, due to its extraordinary properties is revolutionizing various fields. This paper explores some unusual characteristics of graphene such as mechanical properties, electrical and thermal conductance, and optical transparency. We will discuss its potential uses in various areas: super-strong composites for ultra-light and extra-durable materials and next-generation gadgets where graphene exposure might offer improved speeds. In addition, the possible applications of this nano-material in developing novel clear and flexible touch panels and advanced water filtration technologies are explored. But there are also problems with increasing output, maintaining the quality, and managing safety and health aspects despite its great potential. The paper also discusses the probable future impact of graphene on the sector of medicine, the usage of renewable energy, smart communities, and more. This analysis enhances the identification of graphene as a future wonder material by highlighting the state of research, the application of the material, and the opportunities as well as the challenges that the field has and will encounter.
THE INFLUENCE OF EASE AND TRUST ON LOYALTY WITH SATISFACTION USERS FLIP APPLICATION IN JEMBER
Authors: Yulisetiarini Diah , Berliana Cahyani Santi , Farida Lilik , Khusna Khanifatul , Farid Afandi Mochammad
Published: October 2024

This explanatory research aims to test and discuss the effect of ease and trust on loyalty through FLIP application user satisfaction in Jember. This research uses a non-probability sampling technique with a purposive sampling method with accidental sampling. The number of samples used in the research was 140 respondents. The data source used in this research is primary data obtained by distributing questionnaires offline to respondents who are FLIP application users in Jember. The data analysis method uses Path Analysis with the Statistical Program For Social Science (SPSS). The research results show that ease has a significant effect on satisfaction. Trust has a significant effect on satisfaction. Satisfaction has a significant effect on loyalty. Ease significant effect on loyalty. Trust has a significant effect on loyalty. Ease has a significant effect on loyalty through user satisfaction. Trust has a significant effect on loyalty through user satisfaction.
KNOWLEDGE, PERCEPTION, AND AWARENESS OF MENINGITIS AMONG UNIVERSITY STUDENTS: A CASE STUDY OF YUSUF MAITAMA SULE UNIVERSITY KANO
Authors: Shamsuddeen Muhammad Mustapha
Published: October 2024

Meningitis remains a significant global health concern, particularly in developing countries where it can lead to severe consequences, including death. This case study examines the knowledge, perception, and awareness of meningitis among students at Yusuf Maitama Sule University Kano (YUMSUK), an educational institution with a diverse student population. The study utilizes a cross-sectional survey design, gathering data from 200 undergraduate students through structured questionnaires. The research objectives include evaluating students' knowledge of meningitis, exploring their perceptions and attitudes towards individuals with the disease, and assessing their overall awareness of diagnostic tests, treatment options, and vaccination programs. Findings reveal varying levels of understanding, with notable gaps in knowledge about transmission routes, risk factors, and preventive measures. Additionally, some misconceptions and stigma towards those affected by meningitis were identified. The study underscores the need for targeted health education programs to enhance awareness and reduce the disease's burden within the university community. The implications of these findings are discussed, and recommendations are made for future awareness campaigns, curriculum integration, and further research on meningitis among university populations.
TRANSFORMING CREATIVE INDUSTRIES: A COLLABORATIVE GOVERNANCE APPROACH FOR DIGITALIZATION IN WEST JAVA
Authors: Indrayani Etin , Murdiyana Murdiyana , Nurnawati Eem , Guntoro Dedy , Roselin Ernawati Nainggolan Ruth
Published: October 2024

This research aims to analyze the application of Collaborative Governance to advance the creative industry in West Java. Case studies were conducted in Bandung City and Garut Regency. This research uses a qualitative approach, revealing findings that the collaborative governance process in advancing the creative industry in Bandung has been effective and involves elements of the government, private sector, universities, media, and society. However, more optimal arrangements are still needed in the Garut Regency. The ideal Collaborative Governance Model involves the 'Penta helix'—government, society, academia, entrepreneurs, and the media (ABCGM). This cross-sector collaboration is expected to build togetherness in developing the creative industry. This research presents an overview of successful Collaborative Governance practices that formulate policy recommendations and collaborative models. This model guides the government and stakeholders in supporting the digitalization of creative industries in West Java. The contribution of this research lies in the strategic direction to achieve sustainable digital transformation in regional creative industries.
Azərbaycan Respublikasının Prokurorluğunun hüquqi statusu, vəziyyəti və inkişaf perspektivləri (prosessual aspektdə)
Authors: Ahmadli Fatmakhanim
Published: October 2024

The prosecutor's office in the Republic of Azerbaijan is the basis for ensuring the rule of law and protecting the rights and interests of citizens within the framework of the country's legislation. This article aims to examine the legal situation, current conditions and future prospects of the Azerbaijani prosecutor's office, paying special attention to its procedural functions. The legal authority of the prosecutor's office is determined by the national Constitution and relevant legislation. Currently, the current state of the prosecutor's office is characterized by a number of challenges and opportunities. It should be noted that the prosecutor's office in Azerbaijan plays an important role in the legal system of the country. The prosecutor's office contributes to the rule of law and the protection of the rights and interests of citizens by solving the problems encountered and using the opportunities that have arisen. Keywords: Republic of Azerbaijan, prosecution, procedural aspect, ınvestigation, court procedures, legal status, rule of law, ınternational standards.
İnternet provayderlərin məsuliyyətinə dair təcrübənin Azərbaycan, Türkiyə və Avropa hüquqi tənzimlənməsi əsasında müqayisəli təhlili
Authors: Humbatov Elnur
Published: October 2024

In the article, a comparative analysis of the practice of the liability of Internet providers is carried out based on the legal regulation of Azerbaijan, Turkey and Europe. It is noted that the issue of responsibility of providers for the content shared in the virtual space is based on the regulation of the Internet and information legal responsibility as a unity of two main information legal research topics. In the end, it is concluded that Internet providers are not classified in the legislation of the Republic of Azerbaijan. Thus, the terms host provider, Internet information resource owner, and telecommunications operator and provider are used. Only the legal understanding given to the host provider complies with international norms and best foreign practices. The lack of basic legal concepts also makes it difficult to solve the issues of responsibility in case of violation of rights and freedoms. Keywords: Internet provider, virtual space, Internet regulation, information-legal responsibility, Internet information resource, rights and freedoms, legal regulation.
Digital Banking Services in Developing Countries: Bridging the Gaps in Financial Inclusion and Economic Growth from the Point of View of Sri Lanka
Authors: A Aruna C. H.N. , Jusoh Mazuki , Tham Jacquline
Published: October 2024

In the twenty-first century, several countries anticipate digitization to drive their economies. Digital banking services are one of the driving forces that enable countries' transitions to the digital economy, boosting financial inclusion and attaining efficient economic growth; yet, most emerging nations are struggling to meet the projected level of growth in this field; as a result, their economic growth is stagnated. This conceptual paper intends to establish a novel model by incorporating major variables that impact the use of digital banking services in future research. Drawing upon previous literature and theoretical frameworks, the paper develops hypotheses. While the banking industry is a pioneer in setting the right background, people's propensity to use these services has a wider influence. Understanding the bigger consequences that restrict development in using these services may thus be crucial. Inconsistencies and inconclusiveness in the research findings and new knowledge emerging due to the ever-evolving FinTech is also a fact of the matter creating a knowledge gap; therefore, the need for research based on new models that consider different variables is significant in fulfilling this knowledge gap.
BUSINESS INTELLIGENCE APPROACH TO MARKET RESEARCH ON FOOD COMMODITY BY USING BIG DATA ANALYSIS, CASE STUDY: FORUM JUAL BELI KASKUS
Authors: Wibowo Andi , Prawiraatmadja Widhyawan , Siallagan Manahan , Lingo Jeffri
Published: October 2024

The emerging Covid-19 pandemic and the increasing use of internet access trend in Indonesia have successfully changed most consumer behaviour, shifting into the online market (e-Commerce) instead of the conventional physical market. It also presents vast new business opportunities, particularly in the food and beverage industries. However, the authority must transform the decision support system based on data-driven consideration to ensure consumer protection. This research aimed to present the Big Data Analysis power to find insight from the current condition of e- commerce by conducting market research on Forum Jual Beli Kaskus, which was chosen due to less restriction while implementing the self-programming web scrape engine. The collected data is then analyzed through Rapidminer software for text preprocessing and predictive models shown in the Business intelligence tool. Authors find that the web scraping engine successfully collected the whole population of products listed in the food and beverages category as well as text preprocessing resulted in several keywords which represent the product trend. The prediction model achieved 99.85% accuracy and a minimum 80% precision class while the test dataset was introduced to confirm and test the model. By utilizing The Big Data Analysis and Business Intelligence Tools, the government authority could catch enormous insight based on the real-time market research process to formulate a better policy approach.
Egyházszakadások
Authors: Ősz-Farkas Ernő
Published: October 2024

Konfliktusok mindig voltak és lesznek egy vallási közösség életében, amelyek idővel segítséggel vagy anélkül megoldódhatnak, a virtuális szakadások viszont nem. Ha a konfliktusokból szemben álló szekértáborok lesznek, a küldetés, hitvallás, teológiai látás, etikai kérdések értelmezésében kibékíthetetlen ellentétek jönnek létre, liberális-konzervatív irányzatok közötti frontok keletkeznek, a szakadás valóssá válik akkor is, ha formálisan senki nem hagyja el az egyházat. A tanulmányban bemutatott disszertáció a szakadás és a megbékélés témakörében megoldási kulcsokat adhat a vallási széthúzások kezelésében. Továbbá a jelen tanulmány a Hetednapi Adventista Egyházban 1956–1975 között lezajlott három szakadás mintázatát hasonlítja össze egy történelmi egyház első világháború utáni két szakadásával, valamint nemzetközi szintéren ismert és vizsgált szakadások általános jellemzőivel. A szakadások szociológiai, társadalmi, lélektani és vezetéstechnikai törvényszerűségeket követnek, annak ellenére, hogy a szellemi vezetők mindig megtalálták a teológiai, lelki indoklást.
Smart Cities towards Artificial Intelligence
Authors: Azam Muhammad , Javaid Noreen , Rafiq Tanveer , Zafar Sana , Adnan Muhammad , Munir Kashaf
Published: October 2024

The creation of smart cities has come a long way in recent years, especially in domains that use AI, such IoT-based components, security systems, smart living options, and environmental monitoring. These advancements seek to build surroundings that meet human requirements by utilizing cutting edge technologies such as automated parking, smart healthcare, and seismic monitoring systems. Even with these encouraging advancements, the current generation of smart cities is still unable to attain genuine autonomy, particularly when it comes to component-level autonomous situation management and decision-making. The transformational perspective proposed in this work views the constituent components of smart environments as self-governing agents with the ability to make decisions. The purpose of these autonomous agents is to improve security and smart living by being able to self-manage and react automatically to different situations. Such autonomous agents can be integrated to accomplish the goal of artificially intelligent smart cities. In smart cities, autonomous agents may behave pro-actively without human involvement by continually monitoring and analyzing data, anticipating possible problems, and taking proactive actions. In the context of smart healthcare, these agents may, for example, track a patient's vitals in real time, anticipate possible health emergencies, notify medical personnel, or even start emergency procedures. Autonomous agents may dynamically assign parking spots in the context of smart car parking based on real-time data, maximizing space use and minimizing traffic congestion. Agents that can autonomously manage emergency actions, such as directing people to safety and managing infrastructure to minimize damage, might be beneficial for earthquake detecting systems. As autonomous entities endowed with decision-making skills are included, we are moving closer to truly intelligent cities. Because of these agents' capacity for independent operation and quick response to changing circumstances, smart cities are able to offer a better quality of security and service while accommodating the changing demands of its residents. As a result, smart cities that have these intelligent agents installed will be more responsive, efficient, and resilient—ultimately capturing the spirit of artificial intelligence in urban planning.
Effect of School Culture on Students’ Socialization at Secondary Level in Punjab
Authors: Afzaal Muhamad Shahid , Ahmed Shehzad , Khan Muhammad Tahir
Published: October 2024

School culture refers to the shared beliefs, values, attitudes, behaviors, and practices that shape how a school operates and interacts. The study's objectives were to explore the school culture and determine the effect of school culture on students' socialization at the secondary level. A survey was conducted to gather data from 24 secondary schools from each randomly selected division of Punjab among 10th-grade students on aspects like academic achievement, socialization, and cooperative learning. A self-developed questionnaire was used to obtain data from the chosen sample. The study evaluated several factors, including socialization, academic achievement, leadership, and student improvement. To investigate the links between these concepts, correlation studies were conducted. In this study, it was found that student's academic performance, the quality of school leadership, and the prevalence of cooperative learning were all positively correlated with a more positive school culture. Students' socialization was positively influenced by their academic performance. The results stress the significance of school culture in determining the diverse experiences and outcomes of students. A positive school culture that encourages socialization, and cooperative learning should be the main goals. Schools can contribute to their overall development and well-being by implementing the recommendations and conducting further research.
Linkage between HLA genotypes and COVID-19 susceptibility, severity and mortality-A Systematic Review
Authors: Ali Babar , Ali Usama , Zafar Syeda Bushra , Khan Saad Jawaid , Fatima Faria , Nasim Shahzad
Published: October 2024

HLA is vital for effective immune responses against viruses. The virus responsible for COVID-19, SARS-CoV-2, highlights the significance of this immune response. The unpredictable nature of COVID-19 prompts investigation into how HLA, a component of host genetics, impacts disease susceptibility and outcomes. Understanding HLA variants' influence on COVID-19 susceptibility and severity can aid in identifying at-risk individuals. Significant HLAs that had been previously investigated for their association with COVID-19 were sought. Articles from January 2001 to February 2022 were reviewed in 2 databases: Science Direct and PubMed, employing the search terms "COVID-19" AND "HLA." Studies of genetic association measuring the severity or susceptibility to COVID-19 were analyzed in accordance with PRISMA guidelines. A total of 1326 studies related to the novel coronavirus and HLA conducted between the first month of 2001 and the second month of 2022 were identified in our search. Following the screening process, 15 relevant publications were selected. With the exception of one publication that did not demonstrate any connection, significant correlations between the incidence and mortality due to COVID-19 were found in all investigations. In severe cases, HLA class II, DRB113, was notably more prevalent. Among Black hospitalized patients positive for HLA-B53, there was an observed 7.4-fold higher risk of mortality, while HLA-B51:01 and HLA-A*26:01 were indicative of protective effects. HLAs play an essential role in immunological responses, potentially contributing to varying COVID-19 infection rates and outcomes across populations. These findings underscore the need for national networks to collect patient samples for HLA typing, identifying HLA genotypes associated with disease vulnerability.
Benefits of Using Data-Driven Lean Manufacturing in Textile and Apparel Manufacturing Units in Pakistan
Authors: Rashid Ahras , Shah Adeel , Ain Hafiza Noor Ul , Khan Sherbaz , Adamjee Afzal
Published: October 2024

The objective of the present study is to investigate the advantages of lean manufacturing in textile and apparel manufacturing facilities in Pakistan. This study examines the influence of lean manufacturing on the time-saving, process efficiency, and industry improvement. Modern organizations are employing lean manufacturing as a critical concept in their operations. There are numerous advantages to employing lean manufacturing; consequently, the textile industry is also transitioning to this methodology. The quantitative methodology employed in this investigation is employed to investigate the current subject matter. The study's data is gathered from the customers and employees of textile and apparel manufacturing units in Pakistan. In order to accumulate data from the respondents of the investigation, questionnaires were implemented. The study's findings suggest that lean manufacturing is significantly positively correlated with industry improvement, process efficiency, and time savings. These three factors are also essential for the success of an organization. This investigation also encompasses practical and managerial implications, future direction, and limitations.
Leaders at the Helm: Shaping the Future of Hospital Administration through Data-Driven Visionary Leadership
Authors: Ali Zulfiqar , Shah Syed Kashan Ali , Shamsuddin Shamsa
Published: October 2024

This study investigates the impact of various leadership and, management practices on hospital performance, focusing on transformational leadership, effective communication, decision-making ability, change management, emotional intelligence, strategic vision, innovation, employee engagement, resource management, and patient-centred care. Using a structured questionnaire, data were collected from 350, hospital administrators, senior management, department heads, and healthcare professionals. The results highlight the significant, positive effects of these practices on hospital performance, emphasizing the need for a holistic approach to healthcare management. The study fills a critical gap in existing, literature by examining the, combined effects of these factors and their interactions. These findings provide valuable insights for hospital, administrators and policymakers, offering practical strategies for improving healthcare quality and operational efficiency. The implications of the study are significant for addressing, global healthcare disparities and enhancing, healthcare outcomes, particularly in resource-constrained, settings like Pakistan. The study also identifies, challenges and barriers to the, implementation of these, practices, providing a, comprehensive understanding of the factors, influencing hospital performance
An Efficient Approach for Shortest Path Planning in Automotive Navigation System
Authors: Charan Khalid , Dhomeja Lachhman , Memon Shahzad
Published: October 2024

Emerging automotive engineering solutions extensively rely on navigation tools. Shortest path evaluation is core competency of optimal path planning, one of the most critical component of any navigation application. Fibonacci heap variant of state-of-the-art Dijkstra’s algorithm solve single source shortest path problems in asymptotic O(E + V log V) worst-case time. In spite Fibonacci heap is theoretically dominant in time efficiency, it might not work much better empirically with real-world data, because although large and intricate, the real-world road network graphs are sparse and the graph topology greatly affects the performance of the algorithms. SGO algorithm, a more efficient approch to address single source shortest path problem, is applied to solve optimal path planning problem in automotive navigation applications. Each road segment of the road graph leads to a particular location thus will hold unique distance values all the time. The SGO calculates the total distance from start location to the end of the each road segment and evaluates shortest path based on these calculations. The SGO algorithm and the Fibonacci and Binary heap variants of Dijkstra’s algorithm were tested on real-world intercity and intra-city road network graphs to evaluate running time efficiency of the algorithms in automotive navigation systems. The experimental results show that the SGO algorithm outperformed both the variants. The empirical superiority of the SGO algorithm suggests its usefulness in automotive navigation systems.
Security Risk Assessment of IoT for Remote Patient Monitoring System
Authors: Memon Sumaira , Dhomeja Lachhman D. , Memon Shahzad A. , Memon Bisharat R. , Memon Nisar A. , Charan Khalid N.
Published: October 2024

Remote Patient Monitoring (RPM), an essential component of telehealth, is among the biggest changes marked in healthcare. It facilitates patients’ treatment, remotely at home or in some distant location, without traditional clinical settings. The RPM plays a key role in data acquisition, data analysis and insights, and improved healthcare management. It collects real-time data using wearable sensors and mobile apps, and furnish crucial health metrics. Advanced algorithms and prognostic modelling than process the data, pattern and likely health risks to predict any disease more precisely and accurately for early action. RPM provides real-time watch and remote consultation that help in improved disease control and better patients’ care. Improved accuracy, reduced cost, real time interaction, and refined patient well-being are the significant healthcare benefits of RPM. Prognosis Health & Management (PHM) system is used for predicting the remaining useful life (RUL) of healthcare assets such as sensors, pacemakers, defibrillators and other medical equipment. The PHM leads to pre-emptive maintenance, lowers downtime, and tracks the life span of such healthcare equipment. The IoT enables PHM to monitor remote assets and gather instant data to foresee the RUL of such equipment. Providing the facilitations, PHM also creates potential vulnerabilities of exposure of device, network and data, and poses data security and privacy challenges. Therefore, strong security controls are required to keep patients’ data confidential and safe from uneven approaches to technology and data breaches. This paper evaluates risk associated with RPM using OCTAVE ALLGERO, a risk assessment framework, to mitigate the data security concerns.
From Data to Decisions: Predictive Machine Learning Models for Customer Retention in Banking
Authors: Khaliq Abdul , Ajaz Sophia , Ali Asif , Shakir Daniyal , Baig Kashif
Published: October 2024

This research proposes machine learning—a subfield of artificial intelligence-based approaches to forecast bank client attrition. The study promotes investigating the possibility of churn through the examination of consumer behaviour. In this paper, a method to predict customer churn in a bank using machine learning techniques, which is a branch of artificial intelligence, is proposed. The research encourages the exploration of the likelihood of churn by analysing customer behaviour. The number of service providers is increasing very rapidly in every business these days. As a result, customer churn and engagement have become one of the top issues for most of the banks. In this work, the Random Forest, SVC, XGB, LGBM, and Logistic Regression classifiers are employed. A few feature selection strategies have also been applied to validate system performance and determine which features are more relevant. The test was conducted using the churn modelling dataset from IEEE dataset. The results are compared to find an appropriate model with increased precision and predictability. As a result, when utilised after oversampling, the Random Forest model outperforms other models in terms of accuracy. The Random Forest model showed a significant improvement in accuracy compared to the other classifiers, making it the preferred choice for predicting customer churn in the banking sector. The feature selection strategies helped identify the most relevant features that contribute to accurate predictions. Overall, this study highlights the importance of implementing advanced machine learning techniques and feature selection methods to enhance customer retention strategies in the banking industry.
Impact of Total Quality Management and Agile Manufacturing on Performance in the Apparel Industry: A Moderating Role of Higher Management Commitment
Authors: Rashid Ahras , Shah Adeel , Ain Hafiza Noor Ul , Adamjee Afzal , Khan Sherbaz
Published: October 2024

This study investigates the impact of Total Quality Management (TQM) and Agile Manufacturing (AM) on the performance of apparel mills, while also exploring the moderating role of Higher Management Commitment (HMC). The goal is to assess whether TQM and AM enhance mill performance and whether HMC amplifies these effects. The research adopts a quantitative approach using data from 104 respondents across various apparel mills in Karachi, Pakistan. A structured questionnaire was employed, measuring TQM, AM, Operational Safety (OS), Training, and HMC using a 5-point Likert scale. Regression and correlation analyses were conducted to evaluate relationships between the variables. The results indicate that both TQM and AM have significant positive effects on apparel mill performance, with training also showing a strong correlation. However, OS did not demonstrate a significant impact. Furthermore, HMC significantly moderates the relationship between TQM and training on mill performance but does not moderate the relationship between AM and OS. The findings suggest that managers in the apparel industry should focus on implementing TQM and AM to enhance performance, while also fostering strong managerial commitment to maximize these benefits. This study contributes to the existing literature by integrating TQM, AM, and HMC, providing a comprehensive understanding of their effects on apparel mill performance
Remote Healthcare: Development of a Centralized Patient Monitoring System for Ward Patients.
Authors: Ansari Sabahat , Malik Feroza , Soomro Maryam Ali , Shamim Fahad , Shaikh Zia Ahmed , Shams Sarmad , Nasim Shahzad
Published: October 2024

Patient monitoring is an essential practice in healthcare settings to assess well-being and medical conditions. This study proposes a central patient monitoring system enabling healthcare personnel to have a comprehensive perspective of multiple patients' health state from a central location. The proposed prototype enables healthcare providers to detect and respond to changes in patients' condition efficiently. The project contains multiple patient monitoring units with each measuring temperature, ECG, SpO2, and heart rate along with a display on a centralized screen. The hardware of monitors is placed at each patient bed connected with all the patients and the result of each patient can be seen from the general ward counter. Different sensors are used to design monitoring units and are connected with node MCU through different pin connections. Node MCU sends the information gathered from sensors to the Raspberry pi unit using Wi-Fi. The real-time data of patients are being displayed and saved using server “thing speak”. There are different options on the server window to switch between different patients’ real time results to monitor them. The proposed prototype uses computer technology to monitor the vital signs of multiple patients on a single monitor from a centralized location using internet which may eventually reduce the time and workload of medical staff leading to improved patient care.
Mediation of Green Perceived Organizational Support between Green Human Resource Management Practices and Employee Performance
Authors: Rafique Samman , Tanveer Yasir , Sadiq Saiqa , Tariq Anum
Published: October 2024

This study examines the role of green HRM on employee performance outcomes in Pakistan through perceived organizational support for environmental initiatives. The theory of Ability Motivation Opportunity (AMO) has been applied to investigate how green HRM influences employee performance by mediating green-perceived support. The research used green HRM practices as independent factors, green perceived organizational support as a mediating variable, and employee performance as the dependent variable. Data from 312 respondents were analyzed using SEM-PLS. Training and development, recruiting and selection, employee involvement, and performance management are all examples of green HRM practices that this study found to have a good effect on employee performance. Furthermore, organizational support was a crucial mediator between green HRM practices and employee performance. This indicates that when green HRM and green-perceived organizational support demonstrate a commitment to environmental concerns, employees recognize that their ecological values are significantly endorsed by their employer, enhancing their perception of green-perceived organizational support and motivating improved performance. This research demonstrates that perceived green support fosters green competencies and motivation in employees, enabling them to realize their environmental potential. Therefore, employees may perform at their best by putting green HRM methods into practice and making corporate support seem ecologically sensitive.
Unraveling Epilepsy: Investigating stem cell approaches for innovative treatment and future cure
Authors: Balcilar Hilal , Osman Sajeda , Isik Sevim
Published: October 2024

Epilepsy is a persistent neurological disorder characterized by repeated, spontaneous seizures that arise without a specific cause. These seizures result from abnormal electrical activity in the brain, leading to a range of symptoms, from brief periods of unconsciousness or minor sensory disturbances to severe convulsions. The management of epilepsy remains a significant challenge, as current treatment modalities, primarily involving antiepileptic drugs and surgical interventions to remove seizure foci, often provide adequate control for a substantial portion of patients. For this reason, stem cell therapies have become a hopeful approach because of their ability to potentially restore and renew impaired neural networks, which is particularly relevant for neurological disorders like epilepsy. This review investigates the present state of stem cell therapies in epilepsy, analyzing distinct types of stem cells, their mode of action, preclinical and clinical trials, as well as future research prospects.
Biosensor applications in the monitoring of elderly patients
Authors: Kul Busra
Published: October 2024

Nurse-based patient monitoring is prone to errors due to manual measurements and documentation, leading to potential inaccuracies in care. The use of biosensors offers a promising solution by enabling real-time and continuous monitoring of patient health. Categorizing patient care reports as critical or non-critical using mobile recording systems based on biosensor data can help prevent errors and improve care. The use of biosensors can significantly reduce morbidity and mortality, especially after emergencies and accidents. These devices improve the quality of care and increase the satisfaction of older people, their families and healthcare professionals. Wearable biosensors make it easier for older people to monitor their health, which can help reduce hospital admissions. Chronic diseases such as cardiovascular disease, cancer, diabetes, dementia and stroke pose challenges to healthcare delivery and interpretation of results. Integrating biosensors into health monitoring and measurement is an innovative approach to managing these chronic conditions more effectively. To improve self-management of chronic diseases in older people, it is essential to educate healthcare professionals and promote research in this area. As a result, the use of biosensors to monitor the daily activities and health parameters of elderly patients is expanding, highlighting the importance of multidisciplinary research in biotechnology, chemistry, engineering and nursing.
Application of salt-assisted liquid-liquid extraction in bioanalytical methods
Authors: Al Selen , Sagirli Olcay
Published: October 2024

This review provides a comprehensive analysis of bioanalytical methods employed for the quantification of drug molecules in various biological matrices, including human plasma, urine, breast milk, and mouse plasma. The study not only examines traditional sample preparation techniques such as protein precipitation (PP), liquid-liquid extraction (LLE), and solid-phase extraction (SPE), but also delves into the relatively new and innovative salting-assisted liquid-liquid extraction (SALLE). It offers a thorough comparison of analytical methods utilizing SALLE, focusing on key parameters such as analysis time, calibration range, and the type and quantity of salts and organic solvents used. This review aims to serve as an essential resource for researchers and practitioners in selecting the most suitable bioanalytical methods for pharmacokinetic studies and drug monitoring, ultimately enhancing data quality and analytical efficiency in both clinical and research settings.
Dímero D y Ferritina, al ingreso Hospitalario, se asociaron a signos de alarma en Dengue y al desarrollo de neumonía en COVID-19. Escenario de doble circulación viral
Authors: Chuliber Fernando , Vanden Ryn Roxana , López Marina Sol , Barrera Luis Horacio , Privitera Verónica , Mezzarobba Daniela , Viñuales Estela Susana , Penchasky Diana , Raff Cintia , Jimenez Graciela , Arrigo Diego , Rolan Martín , Seoane Facundo , Martinuzzo Marta  Elba
Published: October 2024

Introducción: COVID-19 y dengue comparten síntomas iniciales (fiebre, cefalea) que desafian el diagnóstico en escenarios de doble circulación viral. Objetivo: Evaluar biomarcadores como ferritina y dímero D (DD), al ingreso hospitalario, y su asociación con la evolución clínica de los pacientes. Métodos: Se realizó un estudio retrospectivo de una cohorte de pacientes adultos consecutivos que consultaron por síntomas compatibles con COVID-19 (marzo-junio 2020). Fueron incluidos los pacientes con dengue o COVID-19. El laboratorio al ingreso consistió en: dímero D (DD) (VIDAS); proteína C reactiva ultrasensible (PCR-H) y ferritina (Beckman Coulter, AU 680), hemograma (Beckman Coulter, DxH 800). Resultados: Se incluyeron 230 pacientes: 67 con dengue no severo, 85 con COVID-19 con infección leve (IL) y 78 con el mismo virus, que evolucionaron a neumonía (N). Los pacientes con dengue presentaban niveles más elevados (mediana, RIC) de DD: 795 (502-1240) vs. 301 (191-472) ng/mL FEU y de ferritina: 304 (219-601) vs 104 (58-300) mg/dL que los diagnosticados con COVID-19 IL, pero similares a los de COVID-19 N: DD 593 (331-1470) ng/mL FEU y ferritina 290 (140-817) mg/dL. La PCR-H solo fue muy elevada en los casos de COVID-19 N: 16, 9 (7,3-49,2) mg/L. DD y ferritina estuvieron más elevados en pacientes con dengue que desarrollaron trombocitopenia <100x109/L y/o elevación de transaminasas (signos de alarma). La razón de DD paciente/límite superior normal >4 y la de ferritina >800 mg/dL se asociaron a la aparición de signos de alarma en dengue: OR (IC 95 %) 5,9 (1,9-30,1) y 12,7 (1,3-121,5); y a COVID-19 N: 5,6 (1,2-26,4) y 14,6 (1,7- 122,8). Conclusión: Ambas infecciones, dengue y COVID-19, presentan biomarcadores proinflamatorios aumentados como DD y ferritina cuyo incremento se asocia a mayor severidad clínica de las mismas.
Diferencias entre las ecuaciones MDRD4-IDMS y CKD-EPI 2009: significancia estadística y clínica
Authors: Vilche Juárez Alejandro Mario , Correa Viviana
Published: October 2024

Introducción: La medición del filtrado glomerular o su estimación mediante el uso de ecuaciones validadas permite categorizar a los pacientes en los distintos estadios de la enfermedad renal crónica (ERC). El cambio de la ecuación MDRD-IDMS a la ecuación CDK-EPI requiere un análisis estadístico y clínico. La utilización del concepto de variabilidad biológica nos permite calcular el error Total tolerable y el error sistemático aceptable para esta estimación. El objetivo de este estudio fue comparar los valores estimados de filtrado glomerular mediante el uso de la ecuación CKD-EPI frente al de MDRD-IMDS en una cohorte de pacientes en distintos estadios de ERC y realizar un análisis basado en la significancia de las diferencias estadísticas y clínicas. Materiales y Métodos: Se utilizaron 4986 datos de pacientes ambulatorios. Las diferencias entre ambas ecuaciones se estudiaron frente al error sistemático deseable. Resultados: CKD-EPI reclasificó a los pacientes en estadios diferentes a los de la ecuación MDRD-IDMS, principalmente en los estadios 1 y 2. Al realizar el análisis en la cohorte femenina, las diferencias son estadística y clínicamente significativas en todos los estadios, excepto en el G5; sin embargo, en la masculina, las diferencias son estadísticamente significativas en todos los estadios, pero clínicamente no significativas en los estadios 3B, 4 y 5. Conclusiones: Las ecuaciones pueden categorizar en diferentes estadios a los pacientes, por lo tanto, la utilización de una u otra ecuación puede modificar las recomendaciones y/o las decisiones terapéuticas, principalmente en la población femenina.
Dictadura y autoritarismo en la Ciencia Política: momentos bisagra de una relación conceptual contrario asimétrica con la democracia
Authors: Rodríguez Rial Gabriela
Published: October 2024

Resumen¿Cómo impacta el contexto en la rigidez o flexibilidad de la frontera que se establece entre democracia y autocracia? La intención de este artículo es determinar si la distinción entre formas opresivas y no opresivas del poder político es el fundamento normativo de los abordajes politológicos que contrastan la democracia con los conceptos de dictadura y autoritarismo. Con herramientas heurísticas de la historia conceptual se abordan tres coyunturas críticas de la historia de la Ciencia Política: los análisis de la dictadura de Norberto Bobbio y Giovani Sartori; la conceptualización del autoritarismo de Juan Linz; y la noción de “regímenes electorales autoritarios” acuñada por Andreas Schedler. Primero se demuestra cómo el abordaje de cada autor respecto de la relación conceptual entre dictadura y autoritarismo influye en sus respectivas concepciones y valorizaciones de la democracia liberal como forma del poder político no opresiva por antonomasia. Y luego, en las conclusiones, se responde al interrogante que motivó la presente indagación.Palabras clave: autoritarismo, opresión, dictadura, democracia  DICTATORSHIP AND AUTHORITARIANISM IN POLITICAL SCIENCE: THREE CRITICAL JUNCTURES IN THE RELATIONSHIP BETWEEN DEMOCRACY AND POLITICAL OPPRESSIONAbstractHow does the context impact on the rigidity or flexibility of the border that Political Science draws between democracy and autocracy? The aim of this article is to establish if the difference between oppressive and non-oppressive forms of political power works as a normative foundation for Political Science approaches that use the concepts of dictatorship and authoritarianism to contrast with democracy. Using heuristic tools from Conceptual History, we address three critical junctures in the history of Political Science as a discipline: the analyses of dictatorship by Norberto Bobbio and Giovani Sartori; the conceptualization of authoritarianism by Juan Linz; and the notion of "authoritarian electoral regimes" coined by Andreas Schedler. First, we show how each author's approach to the conceptual relationship between dictatorship and authoritarianism affects their respective conceptions and evaluations of liberal democracy as the quintessential non-oppressive form of political power. As a result, in the conclusions, we answer the question that were prompted the present study.Key words: authoritarianism, oppression, dictatorship, democracy ARK CAICYT: https://id.caicyt.gov.ar/ark:/s16668979/a9aom2c6u
Presidencialismo, autoritarismo y democracia en Argentina. Una reflexión sobre la distinción y los solapamientos entre la autoridad y el poder
Authors: Eiff Leonardo
Published: October 2024

El artículo propone enfocar los debates sobre la crisis de la democracia desde la perspectiva teórico política que distingue la autoridad y el poder. Para ello, reconstruye la semántica histórica de ambas figuras y luego indaga sus consecuencias en el ordenamiento político de las democracias contemporáneas. El efecto principal a destacar es el que se observa en la institución presidencial. Por eso, el artículo se detiene en los debates alrededor del presidencialismo en Argentina introduciendo la visión teórico política de la distinción entre autoridad y poder, procurando mutar el sentido de esa controversia a los fines de explorar la vigente crisis de la democracia.Palabras claves: autoridad, poder, democracia, presidencialismo Presidencialism, authoritarism and democracy in Argentina A reflection on the distintion and overlaps between authority and powerAbstractThe article proposes to approach the debates on the crisis of democracy from the political theoretical perspective that distinguishes authority and power. To do this, it reconstructs the historical semantics of both figures and then investigates their consequences in the political order of contemporary democracies. The main effect to highlight is the one observed in the presidential institution. For this reason, the article focuses on the debates surrounding presidentialism in Argentina, introducing the theoretical-political vision of the distinction between authority and power, seeking to mutate the meaning of that controversy in order to explore the current crisis of democracy.Key words: authority, power, democracy, presidentialis ARK CAICYT: https://id.caicyt.gov.ar/ark:/s16668979/nkakgpxco