bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyze Symbolic Imagery from the Perspective of Cross-cultural Literary Studies
Authors: Wan Yuetong
Published: November 2024

Abstract: Symbolic imagery is an important element of cross-cultural literary studies and plays an important role in cross-cultural literary studies. Symbolic imagery is often related to the emotion and theme of the work, and there are significant cultural differences, if not fully understood, it will lead to the loss of the original image and the lack of cultural connotation. Therefore, it is necessary to pay attention to the cross-cultural literary research of symbolic imagery, and grasp its commonality in the literary and artistic theories of Chinese and Western personalities. Imagery is defined differently in China and the West, but it is an element . The understanding of imagery can be divided into: "extension" and "connotation", which can be understood from the shared context or the special context, which is of great significance to our cross-cultural literature research.
The Art of White Space in the Film Throne of Blood (1957): A Comprehensive Exploration
Authors: Liu Fei
Published: November 2024

Abstract: As one of the outstanding directors in the history of world cinema, Akira Kurosawa's film works have profoundly influenced the development of global cinematic art. Among them, Throne of Blood (1957), as his adaptation of Shakespeare's classic tragedy Macbeth, not only demonstrates Kurosawa's precise grasp of the spirit of the original text, but also makes bold innovations in artistic creation, especially his unique use of the art of white space, which adds abundant artistic charm and depth to the film. As a core element of East Asian aesthetics and artistic expression, the use of white space in Throne of Blood brings unprecedented effects to the narrative, visual presentation and psychological portrayal of the film. Therefore, an in-depth study of the art of white space in Throne of Blood is of great significance in understanding Kurosawa's artistic style, the embodiment of East Asian aesthetics in the film, and the diversity of artistic expressions. The purpose of this study is to delve into the art of whitespace in Akira Kurosawa's film Throne of Blood, specifically examining its multiple roles in storytelling, visual expression and psychological depth, and how these roles work together to elevate the film to new heights of artistic achievement.
Psychological Factors That Can Impact Obesity and Overweight
Authors: Qiang Ziwei
Published: November 2024

Abstract: Obesity, now recognized as one of the most common and significant chronic diseases, occurs not only in the United States but worldwide. Relevant studies have shown that obesity increases the risk of Type 2 diabetes, heart disease, bone health, reproductive health, and certain cancers, thereby affecting quality of life, including sleep and mobility. This information has prompted the general public and academics to focus more on the psychological aspects that impact and contribute to obesity, in addition to biological causes. The study aims to explore the psychological aspects that influence obesity and overweight communities. Apart from obesity, the paper also discusses how it affects people's lives, and the psychological solutions to obesity. Through a systematic analysis of the existing literature, which contains resources that are peer-reviewed studies published between 2008 and 2023, this paper shows that depression, anxiety, eating disorders, and familial factors all contribute to obesity and overweight. The results also indicate that the mechanisms behind each psychological factor are also different. In addition, some psychological approaches can help reduce obesity symptoms, such as behavioral therapy and counseling.
Artificial Intelligence's Impact on Employment: Challenges, Potential Consumers, and Policy Responses Through Automation and Workforce Rehabilitating
Authors: Fan Xingtai
Published: November 2024

Abstract: The employment market has undergone an enormous shift as a result of the rapid progress of artificial intelligence (AI). This transformation presents both significant challenges and opportunities. This paper examines the ways in which AI-driven automation is transforming a variety of industries, resulting in employment displacement in sectors that rely on routine tasks and the creation of new roles in technology, data management, and AI maintenance. Addressing the growing disparities between those who benefit from AI and those who are left behind, as well as managing large-scale employment displacement, are the primary challenges. This is particularly true for low-skilled workers. AI, however, also offers chances to boost creativity, productivity, and the creation of highly skilled jobs in cutting-edge industries. In order to alleviate adverse consequences, this investigation underscores the necessity of proactive measures, such as educational reform, reskilling and upskilling programs, and collaboration among educational institutions, governments, and industries. By prioritizing these strategies, the employment market can adjust to the transformative potential of AI, thereby fostering economic development and inclusive job creation by balancing the reduction of traditional roles with the emergence of new opportunities.
The Impact of Parental Recognition of Students' Interests on the Construction of Psychological Environments: A Case Study of Online Gaming
Authors: Zheng Nan
Published: November 2024

Abstract: The family plays a crucial supportive role in the development of students, particularly in the construction of their psychological environment. However, there exists a cognitive bias among parents regarding students' engagement in online gaming, which can lead to tension in students' mental health and family relationships. This study analyzes the importance of parental recognition of students' interests in constructing psychological environments, particularly in the context of online gaming. By exploring the intrinsic links between students' participation in online gaming and their social relationships, addictive behaviors, and mental health, this paper reveals the influence of parental cognition on student behavior. The findings indicate that positive parental involvement and informed guidance can effectively mitigate the negative impacts associated with online gaming. Based on this, the paper recommends enhancing parents' understanding and recognition of their children's interests, establishing a healthy family environment, and strengthening communication and cooperation among families, schools, and society to promote students' healthy development jointly.
Optimal Path of Education Based on Individual Differences of Students and Hysteresis of Education
Authors: Gu Qianyu
Published: November 2024

Abstract: The problem of educational hysteresis was proposed decades ago, but effective solutions have been rare. In this paper, an analysis of the causes and effects of educational hysteresis, along with finding the correlation between individual differences of students with educational development has been done. Based on the analysis, the hysteresis of education originates from timeline conflicts, reform difficulties, and teachers' acceptability towards new content. These would result in losing the purpose of education: helping students prepare for future careers and maintain equality. This essay also points out the differences in children between different generations, and how students can change in many different aspects like thinking and values. Based on these conclusions, this paper argues that the government should constantly update its system and set specific reform goals for different areas. Teachers should focus on creating opportunities from time to time, incorporating innovations in teaching methods. In addition, teachers should pay attention to the situation of students and achieve personalized teaching.
Machine learning based risk factor analysis in the prognosis of heart failure
Authors: Li Mingke
Published: November 2024

Abstract. Heart failure, one of the significant causes of death, poses challenges to healthcare systems due to its high hospitalization rates and substantial economic burden. This study explores the key factors predicting survival among heart failure patients by evaluating a variety of clinical, demographic, and lifestyle elements. Employing logistic regression, this analysis utilizes data from 299 patients at the Faisalabad Institute of Cardiology, each marked with 12 risk factors, and conducts a 10-fold cross-validation to ensure robustness. Results reveal that age, serum sodium, and serum creatinine levels are crucial predictors of mortality. Contrary to expectations, ejection fraction plays a lesser role. This study broadens our understanding of the complex risk factors linked to heart failure, helping to refine predictive models that could improve patient outcomes and reduce the economic pressures on healthcare systems, especially in regions facing financial difficulties. The study also highlights the potential role of lifestyle factors, such as dietary and physical activity patterns, in managing heart failure, suggesting a broader approach for future research and interventions.
Using logistic regression model to predict the future coronary heart disease
Authors: Wu Hongru
Published: November 2024

Abstract. Coronary Heart Disease (CHD) has become a significant concern due to the global rise in cardiovascular diseases, prompting a need for effective predictive tools. This study employs logistic regression modeling, a machine learning technique, to predict the risk of CHD and identify key influencing factors. Initially, complex data was preprocessed to handle missing values and other issues. The accuracy of the logistic regression model was then evaluated using confusion matrices and classification reports. Additionally, the model's performance was validated through the calculation of odds ratios and the analysis of ROC curves. The results showed that logistic regression performed well in the prediction of CHD, with a model prediction accuracy of 0.86 and an area under the ROC curve (AUC) of 0.73. The model identified the main factors that affect the development of CHD and pointed out potential room for improvement in predictive accuracy. However, although the model has achieved a high accuracy, there is still room for further improvement. In addition, focusing on improving data preprocessing techniques, especially in dealing with missing values, may improve the discriminatory ability of the model.
Targeting the apelin axis: GPCR-directed peptide therapies for cardiovascular disease
Authors: He Jun , Liu Yi , Lei Yang , Zhu Yiyu
Published: November 2024

Abstract. G protein-coupled receptors (GPCR)play key roles in various physiological processes, especially in the regulation of cardiovascular function and morphology. The current share of peptide- and protein-antibody-based GPCR drugs is gradually increasing. Several studies have identified and understood the role of GPCR in vasodilatory regulation and cardiac function. In addition, some studies have explored the relationship between GPCRs and CVD-related physiological processes such as inflammation, thrombosis and vascular endothelial function. There is still a gap in the study of GPCRs in CVD in terms of a deeper understanding of the role of specific subtypes of GPCRs in the pathological process and their signaling mechanims, as well as how to develop specific drugs targeting these receptors to improve therapeutic efficiency and reduce side effects. This article will focus on important signaling pathways related to CVD. The potential applications and research progress of drugs such as Apelin-13 and MM07 in CVD therapy are particularly emphasized. This paper provides a reference for future research on the progress of GPCR in CVD. Future studies could focus on in-depth exploration of the signaling pathways of GPCRs, the development of more specific and safe drugs, and the study of new strategies for GPCRs in the prevention and treatment of CVDs
Skeletal muscle cell transformation and its influencing factors
Authors: Wang Luqi
Published: November 2024

Abstract. The composition of muscle fiber type is closely related to pork quality, and the pork quality with high proportion of slow muscle fiber is relatively good. In the study, various regulatory factors were found to act on key genes that determine the type of skeletal muscle fibers. The results show that there are many transcription factors affecting the transformation of muscle fiber types, including calcineurin-NFAT signaling pathway, MEF2-HDACs signaling, AMPK-PGC1 and nuclear receptor PPAR /PPAR . However, the underlying mechanism of individual regulators is still unclear. The mechanism of action of PGC-1 , MicroRNA and PPAR () and the synergistic effects of MEF2 and PPAR with PGC-1 and PPAR () and ERR were analyzed. Relevant results were obtained such as PGC-1 gene expression can induce the conversion of type IIx muscle fibers to type I muscle fibers, and miR-133a regulates the conversion of slow muscle fibers to fast muscle fibers by targeting TEAD1; MiR-208b regulates the transformation of slow muscle fibers by targeting and inhibiting METTL8. PPAR () drives the formation of functional type I muscle fibers. In this paper, there is still a gap in the deep molecular mechanism, in the follow-up study, we can further clarify the factors of the key genes to determine the type of muscle fibers, as well as the deep influence mechanism between each factor. Future research and exploration can focus on the regulation factor proposed in this paper.
Application and development of wastewater epidemiology in public health current status and future trends
Authors: Liu Xinyu
Published: November 2024

Abstract. Wastewater epidemiology has emerged as a powerful tool for public health surveillance, enabling the monitoring of infectious diseases at the community level. This paper provides an overview of wastewater epidemiology, including its methodology, applications, current status, and future trends. The challenges and ethical considerations associated with its implementation are also discussed. The methodology section explores the various techniques used in wastewater epidemiology, such as analyzing viral RNA and biomarkers in wastewater samples. These methods offer valuable insights into disease prevalence, transmission patterns, and trends in a population. The applications section highlights the wide range of public health applications for wastewater epidemiology. It discusses how this approach can contribute to disease surveillance, early detection of outbreaks, and monitoring the effectiveness of interventions. The current status section examines the progress made in wastewater epidemiology. It discusses the standardization of methodologies and the need for research collaboration to ensure reliable and comparable results. The future trends and developments section explores potential advancements in wastewater epidemiology. It discusses emerging technologies, such as next-generation sequencing and advanced data analysis techniques, that could enhance the capabilities of this approach. The challenges and ethical considerations section addresses the hurdles in implementing wastewater epidemiology. It emphasizes the importance of standardization, logistical considerations, privacy protection, transparent reporting, and equitable distribution of benefits. In conclusion, wastewater epidemiology holds great promise for public health surveillance. However, addressing the challenges and ethical considerations is crucial for its responsible and effective implementation. By proactively overcoming these obstacles and upholding ethical principles, wastewater epidemiology can continue to evolve as a valuable tool for improving public health outcomes.
Study on hypothesis of amyloid beta protein being the causative factor of Alzheimers disease
Authors: Liu Yinuo
Published: November 2024

Abstract. At present, people have many hypotheses about the cause of Alzheimers disease, AD is used in the following text, among which the amyloid beta protein hypothesis is one of the most famous hypotheses about the cause of AD. Therefore, to study the method of completely curing AD, amyloid beta protein, A is used in the following text, is the most important research object, and the study of drugs targeting A has become the hope of peoples treatment of AD. The research topic of this review is whether A is the cause of AD, that is, whether the amyloid beta hypothesis is valid. By reading literature and analyzing several drugs that have been developed and have effects on A, this paper proves whether A is related to AD. The results showed that the number of A had an important relationship with the severity of AD that is, the amyloid beta hypothesis was established.
Literature review on the various social impacts of COVID-19
Authors: Hu Yike
Published: November 2024

Abstract. The COVID-19 has influenced the whole modern world after 2020, more in bad ways. This paper is to systematically review the impact of the pandemic on social aspects in the past few years. This literature review mainly uses literature summary to find out the effects of the COVID-19.Compared to similar incidents in history, the COVID-19 has posed incredible threats to most of the social categories we face daily. Just like any other international crisis throughout history, we need a long time before recovering from the damages it brought.
The integration of machine learning and CRISPR/Cas technology in the field of COVID-19 diagnostics
Authors: Qi Yuezhe
Published: November 2024

Abstract. The coronavirus known as severe acute respiratory syndrome coronavirus 2(SARS-CoV-2), has generated a global health crisis that has attracted a lot of attention. The necessity of tracking and identifying these variants is highlighted by the appearance of several SARS-CoV-2 variations. Polymerase Chain Reaction-based(PCR-based) assays are considered the gold standard for virus detection, but they have many limitations. The Clustered Regularly Interspaced Short Palindromic Repeats(CRISPR-Cas) system has the potential to overcome these limitations, offering rapidity, sensitivity, specificity, and programmability. Machine learning is also a well-used technology that is widely employed in various fields. Both users and developers of the CRISPR/Cas toolkit have profited from the latest advances and adaptations of its techniques in the field of gene editing. This article reviews the application of CRISPR-Cas and machine learning in SARS-CoV-2 detection. The principles of the CRISPR-Cas system are elucidated, and the application of the combination of the two in detection is explored, providing insightful observations into the advancement of techniques for detecting mutations. In addition, their systematic applications, strengths and weaknesses, challenges and prospects are analyzed.
Instrumentation and application of the CRISPR-Cas system
Authors: Feng Jingwen
Published: November 2024

Abstract. The CRISPR-Cas gene editing system has revolutionized molecular biology by providing a versatile and precise method for genetic manipulation. We explore the basic mechanisms of CRISPR-Cas technology, focusing on the role of Cas proteins and guide RNAs in targeting and cleaving specific DNA sequences. Various types of CRISPR-Cas systems are also discussed, focusing on the widely used CRISPR-Cas9, and their applications in genome editing, including gene knockout, gene knock-in, and gene regulation. Additionally, we present advances in CRISPR-Cas technologies, such as base editing and plasmid editing, demonstrating their potential for therapeutic applications. This paper aims to provide a comprehensive overview of the status and applications of CRISPR-Cas technology and its future directions in gene editing.
Contemporary Lusheng as an Educational Resource in Teaching Chinese Folk Music
Authors: Liu Hui , Woramitmaitree Narongruch
Published: November 2024

The contemporary Lusheng, a reed instrument from the Miao ethnic group in Guangxi Zhuang Autonomous Region, China, has significantly transformed since the 1970s to expand its musical capabilities and adaptability in modern educational settings. This study explores the role of the contemporary Lusheng as an educational resource in teaching Chinese folk music. Conducted in Nanning City and Rongshui Miao Autonomous County, the research involves ethnographic fieldwork, interviews with three key informants, performers, educators, and instrument makers, and observations of educational practices. Data were analyzed using thematic analysis, focusing on how contemporary Lusheng is integrated into music education and its impact on cultural preservation and student engagement. The findings reveal that the contemporary Lusheng, with its expanded pitch range and improved design, is an effective tool for teaching Chinese folk music's technical and cultural aspects. It enhances student engagement and fosters a deeper appreciation for traditional music. However, challenges remain in integrating the instrument into urban education settings and addressing gaps in teacher training. The study suggests further developing specialized teacher training programs and exploring digital media to promote Lusheng in diverse educational contexts.
VALUE ORIENTATIONS OF CHECHEN LITERATURE AND HISTORICAL PROBLEMS OF ETHNIC IDENTIFICATION OF THE AUTHOR AND THE HERO (BASED ON THE MATERIAL OF K. IBRAGIMOV AND I. ZAKRIEV'S PROSE)
Authors:   Chechen State Pedagogical University, Tovsultanova D. S.
Published: November 2024

The analysis of the ethno-cultural specifics of national literatures has been and remains an important line of literary criticism. The relevance of the topic of the article is evidenced not only by the works of Chechen authors, but also by the traditions of world literature, artifacts of the cultural heritage of the North Caucasus, and the works of theorists. The subject of this study is the peculiarities of the ethnic self–identification of the author and the hero in the prose of K. Ibragimov, I. Zakriev and other masters of the word. The purpose of the study is to characterize the motives and essence of ethnic self-determination of Chechens in conditions fraught with the loss of traditional values, a sharp change in moral and psychological paradigms during periods of historical trials. Historiosophical, axiological, axiological and historical-cultural approaches to literature, synthesizing the data of interdisciplinary studies, set the direction for the analytical act (process). The study of the art of ethnic groups presupposes the evolution of assessments, ideals and goals of the existence of any nation. The disputes of scientists convince of the need to return to this topic and to the analysis of texts of recent decades from the perspective of their historiosophical understanding.
SEMANTIC COMPONENT OF ART TERMS
Authors:   Chechen State Pedagogical University,, Khakieva Z. U. ,   Kadyrov Chechen State University
Published: November 2024

Abstract. The article examines the semantic features of art terminology in the English language. The interrelation of art historical discourse and the terminology of artistic art is described. The defining feature of art discourse is its polymodality, whereby the author employs a multitude of linguistic modes to convey their meaning, both within the work of art itself and in its verbal interpretation. Four categories have been identified: names of artistic styles, names of techniques of creating works of art, names of tools/materials, and names of types of paintings. The terms are analysed in terms of metaphorical meaning, and terms formed by means of metaphorical transfer are described.
DEVELOPMENT OF SKILLS IN SECONDARY SCHOOL STUDENTS IN SOLVING PERCENTAGE PROBLEMS
Authors:   Chechen State Pedagogical University, Isaeva Z. I. , Manaeva D. H.
Published: November 2024

Abstract. The formation of skills for solving problems with percentages in secondary school students is indeed one of the most important aspects of modern mathematical education. Firstly, the Federal State Educational Standards defines as one of the key subject competencies in mathematics the ability to apply the studied concepts, results, methods to solve practical problems and problems from related disciplines. Percentage calculations are just related to this kind of practice-oriented mathematical knowledge that is in demand in the everyday life of schoolchildren. Secondly, the content of the existing curricula in mathematics for grades 5-9 provides for the consistent study of the topic «Percentages», starting from grades 5-6. At the same time, the volume and complexity of the corresponding educational tasks are gradually increasing, which reflects the importance of this content component for the mathematical training of secondary school students. The article is devoted to the topical issues of teaching school students to solve problems for percentages in the course of mathematics. The paper discusses various approaches and methods aimed at forming a set of necessary knowledge, skills and abilities on this topic in schoolchildren. The types of problems are presented, covering a wide range of applied aspects - from bank interest rates to calculations of alloys and solutions. Effective methods and techniques for working with various types of percentage problems in mathematics lessons are described.
Epidemiology of Orofacial Clefts: A Spatio-Temporal Descriptive Analysis in Tripoli, Libya, 2017-2021
Authors: Yusra Elfaidy  , Eman Naas  , Arij Arebi  , Hend Alfowers  , Hadil Albourawi  , Surur Elyounsi  , Nooralhuda Aljhemi
Published: November 2024

Orofacial clefts are the most common congenital anomalies affecting the orofacial region. An abnormal facial development causes this congenital deformity during gestation; its aetiology is multifactorial. It is crucial to understand the prevalence of craniofacial anomalies in each community to determine the size of the problem, enhance the life standards for the patients, and assess the efficacy of interventions. In this study, we aimed to provide a picture of the prevalence of orofacial clefts in Tripoli, Libya. Also, it provides a useful reference for cleft-type distribution with their etiological risk factors. The data was collected from the archives of cleft babies referred to major specialized hospitals in Tripoli, Libya, from 2017 to 2021. Variables were collected and analyzed, including data related to cleft cases and their parents. During the study period, the incidence of orofacial clefts was 1.06 per 1,000 live births. The prevalence of cleft lip was 38.3%, cleft palate was 42.2%, and cleft lip with palate was 19.6%. The results showed that 2017 had the highest incidence rate, reaching 32.2%, while it was 8.3% in 2021. The prevalence was generally higher among males than females, at a difference rate of 3.47%. A history of folic acid deficiency and unsupervised drug intake during pregnancy was noted (58.3% and 61.7%, respectively). In addition, the higher prevalence was more common among mothers older than 34. Moreover, it has observed that 46.8% of patients` fathers were smokers. The study concluded that the incidence of cleft defects in Tripoli, Libya, was relatively low, and the role of the predisposing factors in increasing the incidence of cleft deformity remains uncertain. Further studies are recommended to find out the root cause.
Pengaruh Kompensasi dan Lingkungan Kerja Terhadap Kinerja Pegawai Pada Kantor Badan Narkotika Nasional (BNN) Kota Bandar Lampung
Authors: Trisila Shelly Stia , Helmita Helmita , Indriyani Susi
Published: November 2024

Penelitian ini bertujuan untuk mengetahui pengaruh kompensasi dan lingkungan kerja terhadap kinerja pegawai di Kantor BNN Provinsi Lampung. Variabel bebas berisi kompensasi dan lingkungan kerja sedangkan variabel terikat berisi kinerja pegawai. Penelitian ini menggunakan analisis regresi linear berganda. Dengan sampel sebanyak 46 pegawai dalam penelitian ini. Data dikumpulkan melalui kuesioner yang mengukur tingkat kompensasi, lingkungan kerja, dan kinerja pegawai. Hasil analisis regresi linear berganda menunjukkan bahwa secara bersama-sama, kompensasi (X1) dan lingkungan kerja (X2) berpengaruh signifikan terhadap kinerja pegawai. Hasil uji simultan menunjukkan bahwa nilai F (121,745) > F tabel (3,21) dengan nilai signifikansi (0,00) < 0,05, menunjukkan bahwa model regresi secara keseluruhan memiliki tingkat signifikansi yang tinggi. Secara parsial, variabel kompensasi berpengaruh terhadap kinerja pegawai, dengan nilai T hitung sebesar -2,457 dan nilai signifikansi (0,007) lebih kecil dari 0,05 dan variabel lingkungan kerja juga berpengaruh secara signifikan terhadap kinerja pegawai, dengan nilai T hitung sebesar -15,504 dan nilai signifikansi (0,00) lebih kecil dari 0,05.
Prevalence of Forward Head Posture and Its Association with Smartphone Use among University Students
Authors: Saeed Ayesha , Shahid Aimen , Liaqat Maria , Farhat Rameen , Khursheed Rija , Ahmed Safeer , Rafique Nazish , Rafique Anum
Published: November 2024

A person exhibits forward head posture when their spine is out of neutral alignment with their head. Nowadays, smartphones are a necessary tool whose use is becoming increasingly significant. The side effect of smartphone use is forward head posture, which is most common among university students. Objectives: To determine the prevalence of forward head posture and its association with smartphone use among university students. Methods: This correlational study was conducted on university students with a sample size of 340. Both male and female students aged between 18-28 years, who use their smartphones for at least four hours and have no previous record of birth defects of cervical and lumber vertebrae were included. Whereas, any history of cervical surgery, or spinal abnormalities was excluded from the study. The goniometer and ruler method were used to measure the craniovertebral angle, and a smartphone addiction scale was used to screen the participants. Results: A positive correlation was found between craniovertebral angle and duration of smartphone usage with a correlation coefficient of r=0.084 and p=0.02. In contrast, a negative correlation was observed between the ruler method and the duration of smartphone usage with a correlation coefficient of r=0.54 and p=0.403. Conclusions: It was concluded that the prevalence of forward head posture was found to be 47.9% by the ruler method and 62.1% by the craniovertebral angle measurement. There is a correlation between craniovertebral angle and smartphone use and the duration of smartphone usage.
A new modification to the A* path-finding algorithm to improve its space and time performance
Authors: Rababaah Aaron Rasheed
Published: November 2024

We propose a new modification to the A* algorithm named AA* that significantly improves space and time complexities. In AA*’s forward pass, the node sets (open and closed) are not used, and only the local node neighborhood is saved to take the next move decision. AA* needs a backward pass to bridge and correct gaps and bad decisions made in the forward pass. The work of the backward pass is far less than that of the forward pass, as most of the task has been done. It is shown via empirical experimental work that our proposed AA* algorithm is superior to the classical A* algorithm in the typical three metrics: running time, number of probed nodes, and length of path. Furthermore, our experimental work showed that AA* is suboptimal in terms of length of path compared to the original Dijkstra’s algorithm with an accuracy of 96.95%.
Cardiovascular morbidity, mortality and risk management in patients with abdominal aortic aneurysms
Authors: Kwan JY , Davies H , Stocco F , Scott DJA , Bailey MA , Coughlin PA
Published: November 2024

Introduction: Cardiovascular events are the most common cause of mortality in patients with an abdominal aortic aneurysm (AAA) regardless of intervention to treat the aneurysm. This systematic review aims to quantify the risk of cardiovascular morbidity and mortality in all patients with AAA before and after repair.

Methods: The review was conducted in line with the framework of Cochrane reviews and Standard Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Electronic databases were searched for studies that published cardiovascular mortality and/or morbidity rates of people diagnosed with an AAA. Studies only discussing AAA-related deaths or papers looking at aneurysms caused by connective tissue disorders, thoracic aortic aneurysms or ectatic abdominal aortas were excluded. Data on patient demographics, prevalence of comorbidities and medical therapy were extracted where possible.

Results: 17 studies with 78,500 patients were included. The weighted mean prevalence of antiplatelet therapy and lipid-lowering therapy prescriptions was 62.8% and 60.2%, respectively. Pooled mortality rates secondary to myocardial infarction were 5.7% at 5 years with a 2.87% risk of death per year and 11.4% at 10 years with a 1.48% risk of death per year. The pooled mortality rate secondary to an acute cerebrovascular event was 1.9% at 5 years with a 0.38% risk of death per year. The pooled overall cardiovascular mortality rate was 14.5% at 5 years with a 5.43% risk of death per year.

Conclusions: This review demonstrates suboptimal prescription of best medical therapy alongside a significant incidence of cardiovascular morbidity and mortality in patients with AAAs. Greater emphasis should be placed on optimisation of antiplatelet therapy and lipid-lowering therapy in primary care and vascular surgery services with the aim of improving cardiovascular-related outcomes for this patient cohort.
A 5-year review of preeclampsia screening in a tertiary private hospital in the Philippines: A retrospective cohort study
Authors: Ramos Sheila , Velayo Clarissa
Published: November 2024

Preeclampsia remains a significant cause of maternal and perinatal morbidity and mortality worldwide, contributing to about 76,000 maternal deaths and 150,000 perinatal deaths annually. Despite numerous studies on predictive factors and screening tests for preeclampsia, local consensus on the optimal strategy remains elusive. This study aimed to assess the predictive accuracy and detection rate of preeclampsia screening in a tertiary private hospital. A retrospective descriptive cohort study was conducted on pregnant patients who underwent preeclampsia screening from 2018 to 2022. Data analysis involved quantitative methods, assessing predictive accuracy and detection rates for preeclampsia onset at < 34, < 37, and < 40 weeks of gestation. Of the 156 subjects, 8.3% developed preeclampsia, with most cases exhibiting severe features (3.8%). Based on the onset, 3.8% were late-onset, 3.2% early-onset, and 1.2% postpartum. Chronic hypertension emerged as a significant risk factor. Predictive accuracy was highest for early-onset preeclampsia (<34 weeks), reaching 94.23%, while overall predictive accuracy across all gestational ages was 83.12%. Detection rate was also highest for early-onset preeclampsia (100%) but was noted to decrease in later onset specifically 75% and 25% for <37 weeks and <40 weeks, respectively. Aspirin prophylaxis was administered to screen-positive patients, resulting in a 75% reduction in preeclampsia development. This local study underscores the importance of preeclampsia screening, showcasing its strengths in detecting early-onset cases but also its limitations, particularly in identifying term preeclampsia. Compared to traditional tests relying on maternal factors, it demonstrated superior accuracy and higher detection rates, maximizing the benefits of aspirin prophylaxis.
Design of an Intelligent Computing-based Information System for Automated Decision Making
Authors: Pratama Febri , Avini Terttia , Saputra Irfan , Putri Melinda Kurnia , Fajri Sultan Imam
Published: November 2024

The rapid growth of information technology has increased the need for intelligent computing-based information systems across sectors, such as business, education, and government, to facilitate quick and accurate decision-making. Previous research primarily focused on data analysis without a seamless integration for automated decision support. This study aims to bridge this gap by designing an information system that leverages machine learning algorithms for automated decision-making. The system incorporates artificial intelligence and big data processing to provide accurate recommendations based on historical and real-time data patterns. Key processes include identifying user needs, selecting suitable algorithms, developing predictive models, and integrating them into a user-friendly, web-based platform. Results indicate that the intelligent system significantly enhances decision-making speed and accuracy, particularly in scenarios demanding real-time analysis. Tests with decision trees and neural network algorithms demonstrate the system's reliability and adaptability to various data types, supporting consistent, data-driven outcomes. This research concludes by highlighting the system's potential to address complex data challenges, enabling efficient decision-making in dynamic environments.
Communications, media and Internet Concentration in the South Cone 2019-2021
Authors: Mastrini Guillermo , Becerra Martín , Bizberge Ana , Espada Agustín , Carboni Ornela , Sosa Florencia
Published: November 2024

The article analyzes market concentration in communication, internet and media industries in Argentina, Brazil and Chile between 2019- 2021 using CR4 and HHI indexes. It concludes that the Network Media Economy is highly concentrated. The Internet Core applications sectors operate in an almost monopolistic position. The telecommunications and Internet infrastructure sector collects the majority of revenues of the Network Media Economy with very high concentration in Wireless, Wireline and a little less, but still very high, in Multichannel video distribution and ISPs. Media sectors show significant concentration in audiovisual services and low concentration in online press.
Порівняльно-правовий аналіз порядку регулювання військово-технічного співробітництва в Україні та Японії
Authors: Коропатнік І. М. , Бериславська О. М. , Роллер В. М.
Published: November 2024

Довготривала збройна агресія проти України спонукає здійснювати пошук нових шляхів забезпечення потреб Збройних Сил та інших військових формувань у озброєнні та військовій техніці. Нерідко такі потреби задовольняються за допомогою військово-технічної співпраці з державами-партнерами, що переважно є членами НАТО та ЄС. Водночас перспективним нам видається також і поглиблення існуючих та розбудова нових партнерських зносин у військово-технічній сфері з деякими країнами Азії, як-от: Японія чи Республіка Корея. Вказане обумовлює мету нашого дослідження, що полягає у висвітленні основних засад регулювання військово-технічного співробітництва Японії, а також у їх порівняння з деякими положеннями національного законодавства України у цій сфері. Використовуючи такі методи, як метод аналізу, історичний метод та порівняльно правовий метод, ми висвітлили основні приписи, що формують порядок реалізації окремих елементів військово-технічного співробітництва Японії: експорт товарів військового призначення, імпорт товарів військового призначення тощо. Так, вказано на існуючі ще з другої половини XX століття доволі суворі застороги Японії щодо експорту озброєння за кордон. Водночас нами наголошено на поступовому пом’якшенні таких правил у XXI столітті, що певною мірою пов’язано зі зростаючою напругою у регіоні з боку КНР, КНДР та російською агресією в Україні. Нами були висвітлені також і принципи з дотриманням яких Японія імпортує оборонну продукцію. Їх можливо охарактеризувати як такі, що спрямовані на максимальне залучення японських підприємств оборонно-промислового комплексу до виконання відповідних зовнішньоекономічних контрактів. Виявлене дозволило нам порівняти існуючі принципи регулювання окремих елементів військово-технічного співробітництва Японії з подібними за змістом та метою положеннями національного законодавства України. Отримані результати можна застосовувати у подальших дослідженнях деяких аспектів реалізації військово-технічного співробітництва з країнами Азії, а також під час поглиблення двосторонніх партнерських зносин між Україною та Японією. Подальші дослідження варто спрямувати на висвітленні правових засад регулювання військово-технічної співпраці з Республікою Корея та Сінгапуром, а також на порівняння виявленого із чинними приписами українських правових актів. Стаття має теоретичний характер, адже дослідження ґрунтувалось на існуючих актах національного законодавства України та відповідних положеннях законодавства Японії, заявах офіційних посадових осіб, а також на дослідженнях вітчизняних науковців.
Screening the silver nanoparticle synthesis potential of endophytic fungi with special reference to their antibacterial activity
Authors:   Deprtment of Biotechnology, Mata Gujri Mahila Mahavidyalaya (Autonomous) Jabalpur, M.P.,India, Shukla Shyamji , Sahu Hemant ,   Bio-Design Innovation Center, R.D. University, Jabalpur, M.P., India, Shukla Harshita ,   Department of Biotechnology, Sri Guru Tegh Bahadur Khalsa College, Jabalpur, M.P., India, Sandhu Sardul Singh ,   Bio-Design Innovation Center, R.D. University, Jabalpur, M.P., India
Published: November 2024

Nanobiotechnology is the innovative field of science which involves biological synthesis, characterization and application of numerous nanoparticles. The present study was planned to explore potential of endophytic fungi for eco-friendly synthesis of silver nanoparticles with antibacterial activity. In this study 8 endophytic fungal isolates were obtained from different parts of medicinal plants. These isolates were identified belonging to different genera namely, Penicillium, Aspergillus, Alternaria etc. All endophytic fungi were subjected to extra cellular biosynthesis of silver nanoparticles. Out of these Penicillium sp.,Aspergillus sp., Alternaria sp., isolated from healthy plant parts of Aegle marmelos, Dalbergia sissoo and Lantana camara respectively, gave positive results. The antibacterial activities of these nanoparticles were determined against some pathogenic bacteria by Agar Well Diffusion assay. During which it was found that the silver nanoparticles sample exhibiting highest antibacterial potential was characterized by UV-Visible Spectroscopy, Dynamic Light Scattering (DLS), Zeta Potential analysis and Transmission Electron Microscopy. UV-Visible spectroscopy analysis gave surface plasmone resonance peak alternatively 416nm, 444nm and420nm.The average size range of silver nanoparticles as determined via, dynamic light scattering analysis is: 126nm, 88nm, 141nm. The Zeta potential of three samples as determined by zeta sizer showed a high negative surface charge on them which confers stability to them. The zeta potentials of these particles are: -19.1 mV, -22.0 mV, -16.2 mV. Silver nanoparticles produced by endophytic fungi displays considerable antibacterial agent and hence the study would prove to provide novel antibacterial agents.
Lifestyle changes in school children at risk of increasing functional constipation during COVID-19 pandemic
Authors: Nuryandari Sufiandika , Ranuh Reza Gunadi , Athiyyah Alpha Fardah , Darma Andy , Sumitro Khadijah Rizky , Sudarmo Subijanto Marto
Published: November 2024

Lifestyle is a habit that occurs continuously in a person's life. Lifestyle in children includes eating, sleeping, and exercise/movement patterns. Functional constipation is a defecation disorder characterized by infrequent bowel movements, hard and painful stools. Constipation is related to lifestyle. Prevalence in school children 0.7-29.6%. Covid-19 pandemic era has brought unprecedented changes to daily life and impact on children functional constipation which may be caused by a low physical activity, dietary changes and sleep disturbance. Prior research that constipation during Covid-19 documented a 1.3 to 2.1-fold rise in. We aimed to review that the lifestyle patterns related to functional constipation in school children during the Covid-19 pandemic.
Investigating Oman’s environment for startup opportunities
Authors: Muthuraman Subrahmanian
Published: November 2024

Entrepreneurship significantly contributes to national economies globally, including in the Sultanate of Oman, which is prioritizing its Oman Vision 2040. A startup ecosystem has developed to address market failures and rectify the oversight of entrepreneurship's role within the economic framework. The exploratory study aims to investigate and understand why Oman is appealing to entrepreneurs, as well as to examine the support provided by the country's startup ecosystem for emerging businesses. This paper also aims to investigate the opportunities and challenges within Oman’s startup ecosystem. It also seeks to assess how effectively Oman’s environment fosters entrepreneurship by enhancing market opportunities and alleviating the challenges and obstacles encountered by startups. The Omani government has introduced several initiatives to enhance the contribution of small and medium-sized enterprises (SMEs) to the economy.  Oman has been motivated to develop innovative business concepts and new products through unique experiences and creativity. However, they lack the qualities of opportunism and proactivity needed to turn these ideas into successful entrepreneurial ventures. The challenges in Oman stem from a weak innovation and entrepreneurship ecosystem, which significantly limits the ability of incubators to provide meaningful value. The primary challenge facing startup ecosystems is limited access to key resources that can improve the performance of firms. The research indicates a necessity for a cohesive environmental framework that unites the different components of entrepreneurship in Oman.  The role of the government in fostering a positive entrepreneurial environment is crucial in encouraging the establishment of new startups in Oman. The Omani government has established various committees and annual plans to promote entrepreneurship. The presence of government support greatly enhances the viability of entrepreneurial ventures in Oman by offering robust support and management assistance will help ensure the sustainability of startups in Oman and their positive impact on the national economy. The policy should prioritize the development of the innovation and entrepreneurial ecosystem, while also enhancing the cultural framework that supports these initiatives, enabling incubators to operate effectively. Policymakers in Oman would prioritize the establishment of a supportive ecosystem aimed at fostering entrepreneurship, encouraging Omani citizens to embrace entrepreneurial initiatives.
Pengaruh Kontrol Diri Terhadap Kedisiplinan Belajar Siswa Di SMPS Bilingual Al Azhar Paciran Lamongan
Authors: Syahrizal Hilmi Vega Davella  , Hasanah Muhimmatul , Ahmad Maujuhan Syah
Published: November 2024

This study aims to determine the effect of self-control on student learning discipline at SMPS Bilingual Al Azhar Paciran Lamongan. The sampling technique used in this study was saturated sampling technique, the sample in the study amounted to 61 students at SMPS Bilingual Al Azhar. The measuring instrument in this study is the Indonesian version of the Self-Control Scale with a total of 13 items and a 40-item Learning Discipline scale. The scale used uses a Likert scale with a choice of four alternative answers. The data analysis technique used in this study used simple linear regression. From the results of the research, it can be seen that there is an influence of self-control on student learning discipline at SMPS Bilingual Al Azhar Paciran Lamongan. It is known that the calculated F value is 19.432 with a significance level of 0.000 <0.001. So it can be said that the hypothesis is accepted, meaning that there is an influence of self-control on learning discipline at SMPS Bilingual Al Azhar Paciran Lamongan. The magnitude of the influence of self-control variables on learning discipline is 19.6%.