bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic insights and clinical implication of inherited hypertrophic cardiomyopathy
Authors: Sharma Bhavya , Choudhary Kirti 
Published: October 2024

Hypertrophic cardiomyopathy is one of the most common inherited genetic diseases of myocardium. It is the leading cause of unexpected mortality among young people and athletes. H.C.M. has been regarded as a sarcomere illness for the past few decades, usually with incomplete penetrance and varied expressivity arising from autosomal dominance. For the purpose of risk and treatment stratification, all diagnostic techniques—such as tissue biopsy, genetic counselling, magnetic resonance imaging, transthoracic and transoesophageal echocardiography, heart catheterization, and genetic counselling—must be used. Additionally, each patient's results should be customized based on their genotype and phenotype. About one-third of people have left ventricular outflow tract blockage at rest, and another third may be prompted to develop it. Interstitial fibrosis and myocyte hypertrophy and disarray are among the histological characteristics of H.C.M. Another common complication of the hypertrophy is left ventricular diastolic dysfunction. The pathogenesis of H.C.M is complex, and its clinical profile is variable. Functional disability resulting from heart failure and stroke (induced by atrial fibrillation) is also attributed to H.C.M. The goal of the current treatments for H.C.M., which include medication, myectomy, alcohol septal ablation, and implanted cardiac defibrillators (I.C.Ds) to avoid SCD, is to slow down the disease's progression and relieve symptoms. Multidisciplinary approaches are best suited for the diagnosis and treatment of patients with H.C.M. More individualized care and better results for this patient population have been made possible by this, as well as the enhanced safety and effectiveness of medicinal, percutaneous, and surgical therapy for H.C.M. In this review the molecular pathophysiology of H.C.M will be reviewed in light of current knowledge. In addition, describing how genetic testing is used for diagnosis and outlining the range of clinical manifestations.
Review of public transportation integration and modeling strategies: Toward seamless urban mobility
Authors: Mirza Anjum M. , Jain Rajesh Kumar 
Published: October 2024

To solve the issues of expanding urbanization, traffic congestion, and environmental sustainability, public transportation system integration has become a crucial area of concern for urban planners and legislators. This paper discusses the concept of integrating different modes of transportation and the necessity of using a reliable modeling strategy to enhance and optimize urban mobility networks generally. The implementation and efficiency of integrated public transportation systems in several cities are examined in this research paper. The study focuses on a number of notable case studies of various cities that have made substantial efforts to integrate multiple modes of transportation to enhance urban mobility. This study provides a thorough overview of the advantages, difficulties, and potential solutions associated with integrated public transportation as it exists today and as it is currently being modeled. The research also examines several modeling strategies for integrated transport system design and optimization. This study seeks to provide significant insights into the current status of integrated public transportation, identify research gaps, and propose viable pathways for future research and development by synthesizing literature and case studies. Information for the analysis was gathered from the Web of Science, Scopus, Science direct, MDPI Publisher database spanning the years 2000 to 2024. The article collected a total of 624 bibliometric records of publications. Both quantitative and qualitative analyses were conducted as part of the study. This paper conducts a literature review focusing on the latest research concerning the Integration of public transportation-related subjects. It employs scientific databases, a specified list of keywords, and established inclusion criteria to gather data, assess content, and conduct a bibliometric analysis.
A look at biochemistry learning difficulties in the undergraduate level
Authors: Elhousni Zeinab , Zerhane Rajae , Janati-Idrissi Rachid 
Published: October 2024

Learning biochemistry can be a challenge for most university students. They represent a lot of difficulty in studying this module. This is evidenced by numerous failures and a lack of interest in the subject. For them, biochemistry is a dry subject requiring extensive memorization and complex language. They also find it boring. However, biochemistry is a key element in the training of biology students and future teachers of life and earth sciences. It is the basis for understanding the mechanisms of life. It helps students to understand the chemical processes that take place in living beings. The aim of our study is to identify students' difficulties in learning biochemistry, in order to deduce the main causes and factors behind the low proficiency in this subject. For this purpose, we communicated with the undergraduate students at our school using NGT and a questionnaire. Students attribute their difficulties mainly to the complexity of the subject and the large amount of information that must be assimilated in a limited time. In addition, the problem of the language of instruction as well as the lack of tutorials and practical work can represent additional factors hindering the learning process. The lack of basic knowledge and the classical teaching methods can also be considered sources of difficulty. At the end of our study, we were able to elucidate the main factors and obstacles that hinder the learning of biochemistry. The students have suggested some solutions including the adoption of new teaching methods promoting active learning, as well as by diversifying the pedagogical supports used in class and the integration of new communication and information technologies (ICT).
Foreign language teaching modes and adaptive methods in emergency education: Evaluation of first-hand experience
Authors: Lysytska Olena , Mykytiuk Svitlana , Chastnyk Oleksandr , Mykytiuk Serhii 
Published: October 2024

Turbulent world events require crisis-sensitive education models that can address new challenges and promote productive learning in extraordinary times. The research aimed to analyze the issue of teaching a foreign language to undergraduate students using intervention techniques in online and offline modes. The researchers suggested the following responsive and adaptive strategies: the creation of adaptive online learning platforms, the development of a multimedia resources bank and the careful selection of innovative teaching tools capable of addressing both psychological and educational needs. The work in groups of both formats was studied through discussion and survey from the point of view of teachers’ perceptions of positive and negative features, difficulties revealed in the education in emergencies, and the productivity of using specially designed adaptive teaching techniques for coping with them. The findings show that in most aspects teachers have a more positive assessment of ‘live’ language teaching in comparison with the online format. They indicate such benefits as more coordinated work, a collaborative and engaging environment, controllability, and greater motivation. The most effective tools used for developing vocabulary, listening skills, reading skills, and speaking skills were revealed. The final testing results in both online and offline groups were analyzed to study the effectiveness of the employed intervention methods. The study demonstrates that the rigorous instructional design is of vital importance for education in an emergency. Special attention should be given to specific adaptive and responsive intervention technologies aimed at interaction and communication enhancement as well as psychological support of students, the choice of which can be determined by the distinctive features of different teaching formats.
Design and simulation of zeta solar charge controller with artificial neural network MPPT
Authors: Subramanian Balakumar , Kefale Samuel , Godato Mesfin , Girma Yalisho , Zegeye Zerihun 
Published: October 2024

Fossil fuel are non-renewable energy sources with constrained reserves. This advocates renewable energy as a viable alternative for electricity generation. PV is a renewable energy source that harnesses solar energy. The current issue with PV is its low efficiency and elevated cost. Photovoltaic control devices and Maximum Power Point Tracking (MPPT) mimic human neural networks in processing multiple conditions and providing solutions from current reference data to optimise photovoltaic power. This technique is known as Artifical neural network (ANN). This method uses a zeta converter to adjust the photovoltaic voltage to supply specific loads, allowing ANN to optimize power as sunlight intensity changes. In this work, a charge controller for solar applications was designed using MPPT algorithms. This is responsible for overseeing the battery circuit and producing PWM signals to regulate zeta converter according to the battery voltage. The artificial neural network (ANN) received as inputs temperature and irradiation (G). Several simulations verified the efficiency of the suggested MPPT algorithm. The Zeta solar charge controller (ZSCC) device achieved up to 92% efficiency with low irradiance. The proposed ANN-based MPPT controller and perturb-observed Maximum Power Point Tracking (MPPT) algorithm were compared in different solar insolations. The simulation results show that MPPT-ANN can track power up to 2000 Watts for a 2000 WP photovoltaic in 0.056 seconds, with no power oscillations at the MPP.
Analysis of <em>Pfmdr1</em> and <em>Pfcrt drug</em> resistant markers in <em>Plasmodium falciparum</em> following treatments of patients from Nyando and Mbita, Nyanza region with Artemisinin-based combination therapy
Authors: Malala Bonface Joel , Makokha Francis , Kimani Francis , Omolo Kevin Mbogo 
Published: October 2024

The multidrug resistance of Plasmodium falciparum to antimalarial drugs is a major public health concern in the global management of malaria, especially in developing countries. As of today, malaria treatment is primarily dependent on the sustained efficacy of artemisinin-based combination therapy (ACT). Recent reports indicating decline in efficacy of ACT and artesunate monotherapy in Southeast Asia are a major threat to global malaria control achievements. Initially, mutations in Pfmdr1 were associated with chloroquine and amodiaquine resistance only, but there are now emerging field study reports of Pfmdr1 mutation conferring tolerance to ACT. The current study used Restriction Fragment Length Polymorphism to evaluate the prevalence of genetic polymorphisms of Plasmodium falciparum multidrug resistance (Pfmdr1) and Plasmodium falciparum chloroquine-resistant transporter (Pfcrt) gene mutations in Mbita and Nyando field isolates. The findings report that the prevalence of Pfcrt K76T mutation in Plasmodium falciparum field isolates in Mbita declined significantly from 76.3% (95% CI 21.0-31.0) in 2008 to 51.9% (95% CI 19.0-25.0) in 2014, a reduction of 24.4% (χ2df =1 = 4.709, P = 0.0000). In Nyando, prevalence stood at 66.8% (95% CI 12.0-14.0) in 2014 down from 73.7% (95% CI 27.0-48.0), insignificant reduction of 6.9% (χ2df =1 = 17.699, P = 0.0913). Prevalence for Pfmdr1 in Mbita stood at 14.7% (95% CI 44.0-51.0) in 2014 down from 21.9% (95% CI 31.0-49.0) in 2008, a significant reduction of 4.3% (χ2df =1 = 9.011, P = 0.001). While in Nyando, field isolate samples recorded 16.2% (95% CI 22.0-31.0) in 2014, down from 30.6% (95% CI 12.0-27.0), insignificant reduction of 1.9% (χ2df =1 = 11.777, P = 0.0591). Our findings confirm a common trend reported by previous studies: that there has been a small decline in the prevalence of the Pfcrt mutation over a decade since the withdrawal of Chloroquine as the first line of treatment for uncomplicated cases of malaria in Kenya.
Evaluating factors affecting sexual abuse prevention education for primary school students according to the life skills approach
Authors: Bui Loan Thi , Van Dam Anh Thi , Le Nam Hoang , Hoang Dong Thai , Phan Long Thanh 
Published: October 2024

This comprehensive study delves into the intricate factors influencing sexual abuse prevention education for elementary school students, capturing insights from diverse stakeholders, including 423 students, 115 teachers, and 423 parents. Employing a Likert scale, the research evaluates various dimensions, shedding light on the nuanced dynamics that shape prevention programs. The results reveal that student-related factors, encompassing positive behavior, cognitive capacity, personality traits, and knowledge levels, received moderately positive mean scores. This underscores the significant contribution of inherent qualities and cognitive abilities of primary school students to the effectiveness of sexual abuse prevention education. Moving to family-related factors, parents’ extensive knowledge and understanding garnered a positive mean score of 2.91, signifying a favorable impact, while financial considerations received a slightly lower mean score of 2.92. Notably, parental educational methods and the inclination to delegate educational responsibilities to schools scored higher at 2.99 each, underscoring the influential role parents play in shaping their children's perspectives on sexual abuse prevention. Within the school environment, positive interactions between teachers and students stood out with a mean score of 2.97, emphasizing the pivotal role of supportive teacher-student relationships in facilitating effective sexual abuse prevention education. Societal factors exhibited varying influences, with local customs, culture, and social psychology receiving a mean score of 2.91, indicating a moderately positive impact. However, the development of the internet and information channels scored lower at 2.60, revealing potential challenges in adapting prevention education to the evolving landscape of online information dissemination. These nuanced findings contribute to a deeper understanding of the multifaceted factors shaping sexual abuse prevention education for elementary school students, providing a foundation for evidence-based interventions and policy decisions.
An improved man-in-the-middle (MITM) attack detections using convolutional neural networks
Authors: Iddrisu Mohammed , Takyi Kate , Owusuaa Mensah Gyening Rose-Mary , Ofosuhene Peasah Kwame , Amoako Banning Linda , Owusu-Agyemang Kwabena 
Published: October 2024

The increasing reliance on digital communication networks has made information security a critical concern for individuals, organizations, and governments worldwide. Man-in-the-middle (MITM) attacks are significant, prevalent, and damaging concerning cyber-attacks. Detecting MitM attacks is complex due to their stealthy nature and the sophisticated methods employed by attackers. There is the need for researchers to address this issue using current and novel methods like artificial intelligence. In this paper, an improved MitM attack detection approach using the Convolutional Neural Network (CNN) deep learning algorithm is developed, resulting in an overall detection accuracy of 0.986%. The results confirms that the proposed model is very efficient in comparision to other proposed solutions by other authors.
Performance analysis of multiuser mmWave DCT-spread CP-Less OFDM communication system
Authors: Kamal Sk. Tamanna , Jabin Fowzia , Ullah Shaikh Enayet , Jahan Umme Salma , Hossain Md. Najmul , Rahim Md. Abdur , Farid Fahmid Al , Mansor Sarina 
Published: October 2024

In this paper, we propose a framework for multiuser mmWave DCT-Spread CP-less OFDM communication system and analyze it comprehensively. Due to excessive cyclic prefix (CP) usage in conventional multicarrier systems, spectral efficiency reduces and increases transmission latency. Our proposed system enhances spectral efficiency and reduces transmission latency. We introduce an image encryption algorithm based on DNA encoding combined with a chaotic map is introduced to enhance physical layer security (PLS). The impact of block diagonalization (BD) channel precoding for multiuser interference (MUI) reduction and designed subcarrier mapping with time-domain Tukey windowing for out-of-band (OOB) power emission reduction are investigated. In addition, the paper studies the applicability of discrete cosine transforms (DCT)-Spreading for peak-to-average power ratio (PAPR) reduction. Simulation results demonstrate that Turbo and Repeat and Accumulate (RA) channel coding and minimum mean square error (MMSE) and Cholesky decomposition (CD)-based zero-forcing (ZF) signal detection schemes improve bit error rate (BER) performance of the proposed system for different users.
Miedo a la infección y estado de inmunización entre el personal de enfermería en el contexto de la pandemia por COVID-19 en México
Authors: González-Soto Cinthia Elizabeth , Cárdenas-Rodríguez Maritza Lizeth 
Published: October 2024

Introducción: El miedo es una respuesta común ante la crisis. En el personal de enfermería este miedo fue detonado por la enfermedad COVID-19. El sentimiento de miedo podría estar influido por el estado de inmunización de los enfermeros. Objetivo: Determinar el nivel de miedo al contagio por la COVID-19 entre el personal de enfermería de hospitales públicos y su asociación con el estado actual de vacunación. Métodos: Estudio transversal realizado en 129 enfermeros mexicanos trabajadores de hospitales públicos. Se utilizó como instrumento el Fear of COVID-19 Scale. Los datos fueron analizados para buscar correlaciones con el coeficiente de Spearman para las variables numéricas y con Chi-cuadrado para variables categóricas. Resultados: El miedo ante la COVID-19 no se encontró asociado con la condición de inmunización de los enfermeros, sin embargo, sí se encuentra asociado con la muerte de un ser querido y a las de personas con quien vive o comparte su hogar. Conclusión: Existe presencia de miedo ante la COVID-19 entre los enfermeros mexicanos que laboran en hospitales públicos, independientemente del área donde se desenvuelvan.

Fecha de recepción: 12/09/2023
Aceptación de originales: 23/04/2024
Metodología para determinar el tipo de política territorial de desarrollo local a escala de GADs
Authors: Espinoza Loor Ligia Elena , Fonseca Vásconez José Fabián 
Published: October 2024

La Constitución del Ecuador promueve que los gobiernos autónomos descentralizados (GADs) gocen de autonomía política, administrativa y financiera, dentro de los principios de solidaridad, subsidiariedad, equidad interterritorial, integración y participación ciudadana, lo cual conlleva a entender que cada territorio descentralizado sea el centro de gestión y sostenibilidad de su desarrollo. Diseñar una metodología para determinar el tipo política territorial de desarrollo local a escala de GADs, cuyos lineamientos consideran parámetros endógenos y exógenos los cuales contribuyan y se articulen con el Plan Nacional de Desarrollo, considerando como caso de estudio Cantón el Empalme de la provincia del Guayas – Ecuador. A partir de la revisión de fundamentos teóricos especializados en la gestión del territorio se promueve métodos de modelación esquemática, comparativa, sintética y analítica, además se usa métodos empíricos modificados de la gestión estratégica en el análisis y aplicación, el enfoque descriptivo del estudio fortalece los preceptos teóricos con su aplicación en el GAD del Empalme. Se presenta la propuesta de un modelo metodológico para gestionar políticas de desarrollo acorde a la realidad territorial, cuyo constructo es diseñado en consideración de las características bióticas y abióticas territoriales, proceso metodológico que se valida de forma práctica en el territorio objeto de estudio. Se establece que el modelo sirve como una herramienta guía para determinar si la estrategia aplicar en un territorio debe de ser progresiva, competitiva, conservadora o defensiva a partir de su estado situacional y de contextos externos.
Leisure sedentary time and elevated blood pressure: evidence from the statutory retirement policy
Authors: Li Hao , Zeng Weihong 
Published: October 2024

ObjectivesThe relationship between sedentary behaviors and elevated blood pressure remains inconclusive, and the socioeconomic mechanisms underlying the linkage are rarely discussed. Since retirement is often associated with behavioral changes that impact health, this study aims to provide evidence on changes in leisure sedentary time after the statutory retirement age on elevated blood pressure, along with the socioeconomic mechanisms.MethodsWe utilized data from five waves (2004–2015) of the China Health and Nutrition Survey (CHNS), focusing on males aged 55–65 employed in the formal sector. Leisure sedentary time, the independent variable, was measured based on self-reported data, while diastolic (DBP) and systolic (SBP) blood pressure were the dependent variables. Using statutory retirement policy as an exogenous variation, we employed a continuous difference-in-differences (DID) framework and a propensity score matching difference-in-differences (PSM-DID) approach to examine the relationship between changes in leisure sedentary time after the statutory retirement age and elevated blood pressure. The analysis was conducted using ordinary least squares (OLS). To address potential endogeneity, we applied the instrumental variable (IV) method via two-stage least squares (2SLS).ResultsOur findings indicate an increase in diastolic blood pressure after statutory retirement, attributed to increased leisure sedentary time. However, there was no significant increase in systolic blood pressure. Moreover, physical activity did not appear to offset this rise in blood pressure, while higher educational attainment and having family members employed in the medical field helped mitigate its negative effects.ConclusionThis study highlights the potential adverse impact of increased leisure sedentary time on diastolic blood pressure among middle-aged men in the formal sector, while also exploring the socioeconomic factors that may alleviate these effects. These results provide a foundation for public health initiatives aimed at addressing the rising prevalence of sedentary behavior and its association with blood pressure issues.
Cholesteric Cellulose Liquid Crystal Fibers by Direct Drawing
Authors: Zhang Zhuohao , Wang Qiao , Li Yinuo , Wang Chong , Yang Xinyuan , Shang Luoran 
Published: October 2024

Polymer fibers are attracting increasing attention as a type of fundamental material for a wide range of products. However, to incorporate novel functionality, a crucial challenge is to simultaneously manipulate their structuring across multiple length scales. In this research, a facile and universal approach is proposed by directly drawing a pre-gel feedstock embedding a cellulose cholesteric liquid crystal (CLC). An in situ photo-polymerization process is applied, which not only allows for the continuous drawing of the filaments without breakup but also makes the final CLC fibers a colored appearance. More importantly, the multiscale properties of the fibers, such as their diameter, morphology, and the internal liquid crystalline ordering of the molecules (and thus structural color), can be manipulated by several controlling parameters. Combining this cross-scale tunability with a smart functional hydrogel system results in the formation of fibers with structural coloration, self-healing, electrical conduction, and thermal-sensing abilities. We believe that this platform can be extended to other hydrogel systems and will help unlock a wide variety of real-life applications.