bluuebunny/crossref_metadata_2025 huggingface dataset:
ADVANCED DATA MINING TECHNIQUES
Authors: Mary N Dr Ani Brown , Rani J Dr Stella Janci , Merryton Dr Adline Rajasenah , Jebakumari A Dr Richlin Selina
Published: June 2024

Data mining procedures are used to evaluate and turn raw data into information that can be utilized to improve products and services, make better business decisions, and improve consumer experiences. Numerous fields employ data mining extensively. It can be used to determine the probabilities of a certain variable in light of the presence of additional variables. Association Rules method of data mining assists to discover the relationship among two and more Items. It finds an undiscovered outline within the established of data. The tracking of outlines is an essential method for data mining. It involves recognition and monitoring outlines or trends that are present in the data to draw predictions about business results. When an organization has identified trends for sales statistics, say it is time to consider making a decision to take advantage of that knowledge.
CYBER ATTACKS IN SOCIAL MEDIA -A REVIEW
Authors: Panda Dr. B S
Published: June 2024

All through the phase of reconnaissance a social media or phishing operation, attackers regularly use social media groups. In recent the social media may offer attackers with a stage to pose as well-known persons and companies, over and above the data they need to conduct extra assaults such as social media and phishing. Social engineering, site compromise, data theft or breach, brand idea and malware bug are further threats. These threats consist of various phases of data collection on individuals for extortion or holding them at ransom. Don't share too much personal information online. Change your privacy settings and avoid using location services. Update your operating system and software programs. Make use of capital and lowercase letters, numbers, and special characters to create secure passwords. A firewall regulates the flow of incoming and outgoing network traffic to guard against malicious attacks and un-trusted networks. One of the useful and important cyber security solutions in any computer network is antivirus and anti-malware software.
A STATISTICAL STUDY OF AWARENESS ON VEERAPANDIYA KATTABOMMAN
Authors: Sasikumar R. , Arun J. Jackson , Kaviyarasu K.
Published: June 2024

Veerapandiya Kattabomman, also known as Katta Bomman, was an Indian Palaiyakkarar clan head from Panchalankurichi in the eighteenth century who was among the first to rebel against British control. Sixty years before to the Indian War of Independence, which took place in Northern India in 1857, he pursued a battle with the British.. This work makes sense of the methodology for examine the information on the consciousness of Veerapandiya Kattabomman in Kayathar and the was collected from Manimandapam, consisting of 80 samples (52 male and 28 female).
AN EFFECTIVE AUTOMATIC RECOGNITION METHOD OF SICKLE CELLS IDENTIFICATION IN THE BLOOD SMEAR
Authors: Biswas Dr. Amit Kumar
Published: June 2024

Red blood cells carry oxygen and transport it to all body parts through a connective tissue known as blood. One of the abnormalities of RBC is anemia, known as sickle cell, and it is one kind of blood disorder. An RBC usually is in a disk shape, but it changes its disk shape due to improper hemoglobin protein content to form a sickle cell structure, and it is a disease.In this disease, the red blood cell shape is changed to crescent-shaped, called sickle-shaped. In India, specifically in Chhattisgarh, it is a deliberate problem of disorder very much common among backward classes, including scheduled tribes and scheduled castes.This disease is the highest percentage in the surname Sahu, Dewangan, Gond, Mahar, Halba, and Kurmi. Among various methods of blood cell count, manual counting is the most commonly used method. But manual counting mainly depends on the technical person. Therefore, an image processing-based effective object detection method to automatically detect and count the sickle-shaped cells present in the blood smear is proposed in this paper. The proposed method gives 99.96% accuracy for sickle cell counting compared to manual and other existing counting methods.
LITERATURE SURVEY ON HIGH UTILITY ITEM- SET MINING AND CUSTOMER PURCHASING BEHAVIOUR USING HYBRID MODEL
Authors: Tiwari Aditya , Pillai Dr. Jyothi , Barapatre Om Prakash , Sharma K Ganpati Shrinivas , Yadav Dushyant Kumar
Published: June 2024

High profitable rare item sets, is an approach to extract out all the products that emerges high profit over selling. Data mining is a technique that collects data and figure out all relevant products which urges high profit over selling and having high margins. In this chapter, keeping in mind customers’ purchasing behavior, profitable rare item sets, actually want to figure out all those products which can earn us high margin profit, selling of these products through e-trade can lead us with high profit. Rare item sets mining is a challenging task where the key issues are- identifying interesting rare patterns and efficiently discovering them in large datasets, This data can contribute to have high access to all those products which are rarely purchased but consuming high margins, which in future can lead to high business utilities in e-trade .The development of a sequential pattern mining framework based on LSTM networks, enhancing the deep learning framework with advanced techniques, evaluating the proposed approach's performance, and providing valuable insights and recommendations based on the discovered high utility item sets. By achieving these objectives, this research aims to contribute to the advancement of high utility item set mining techniques and provides practical solutions for businesses to extract valuable insights from their transactional datasets & samples.
DATABASES AND DATA WAREHOUSES
Authors: Gunalan Dr. Satyavathy , Devibala Mr. , Karthick R A Arun
Published: June 2024

In the digital era, databases and data warehouses have become the bedrock of modern business operations, revolutionizing the way organizations manage, store, and retrieve vast volumes of data. This chapter provides an insightful exploration of databases and data warehouses, shedding light on their fundamental principles, functionalities, and the crucial role they play in shaping the information- driven landscape. The chapter commences with an introduction to databases, elucidating their pivotal role as structured repositories for organizing and managing data. It delves into the historical development of databases, tracing their evolution from traditional file systems to sophisticated relational database management systems (RDBMS). Key concepts such as tables, rows, columns, primary keys, and foreign keys are explained, underscoring the significance of the relational model. Subsequently, the focus shifts to database design and normalization, which are paramount in ensuring data integrity and efficiency. The chapter explores normalization techniques, including the various normal forms, and highlights the advantages of maintaining a normalized database schema. It emphasizes the importance of adhering to database design principles to facilitate scalable and maintainable systems. As the journey continues, the chapter unveils the realm of data warehouses—an integral part of the decision-making process in data-driven organizations. It elucidates the Extract, Transform, Load (ETL) process, which is instrumental in consolidating data from diverse sources and preparing it for analytical tasks. Data warehouses' architecture and their role in supporting business intelligence and reporting are examined, emphasizing their capacity to provide historical and aggregated data for strategic decision-making. The chapter concludes by exploring the symbiotic relationship between databases and data warehouses, acknowledging their unique roles in the data ecosystem. It examines how the combination of transactional databases and analytical data warehouses forms a comprehensive infrastructure for processing, analyzing, and interpreting data to derive valuable insights. Throughout the chapter, real-world examples and case studies are interwoven to illustrate the practical applications of databases and data warehouses in various domains such as finance, healthcare, retail, and marketing. By comprehending the essence of these powerful data management systems, readers will gain the knowledge needed to harness the full potential of organized information and transform it into a strategic asset for their organizations.
SECURING MEDICAL DATABASE USING BLOCKCHAIN
Authors: Berwer Rajiv Kumar , Indora Sanjeev , Atal Dinesh Kumar
Published: June 2024

Medical data security and privacy are becoming more important as healthcare organizations digitize. The security and integrity of sensitive medical data are at risk due to traditional centralized databases' susceptibility to data breaches, hacking attempts, and unauthorized access. The chapter gives a full overview and study of how blockchain technology can be used to secure medical records. Blockchain, as a decentralized and tamper-proof ledger, offers potential solutions to the existing security challenges. The chapter explores various blockchain-based approaches, protocols, and frameworks designed to enhance data security, access control, privacy, and data sharing in the healthcare domain. The analysis includes an evaluation of the advantages, limitations, and implementation considerations of blockchain technology, along with a discussion of potential future research directions.
AN ANALYSIS OF ROUTING PROTOCOLSTO MAXIMIZE THE LIFETIME OF WSNFOR UNDERWATER APPLICATIONS
Authors: Neha Ms. , Kaur Dr Jasvinder
Published: June 2024

A Wireless Sensor Network (WSN) comprises Sensor Nodes (SN) that are battery-powered and deployed across a harsh environment. WSN applications include military, agriculture, monitoring, surveillance, and more. To extend the lifetime of sensor nodes due to limited battery capacity, efficient routing protocols are essential. Repeatedly using a specific energy path can deplete the batteries of SNs in that area, leading to energy holes and network deactivation. Therefore, it is crucial to select a protocol that involves all SNs in data transmission to prolong network lifetime. Clustering is an effective approach for enhancing network lifetime as it ensures efficient and balanced battery consumption while increasing reliability. Numerous clustering methods have been put forth, with room for further improvement. Clustering is particularly valuable for underwater applications, providing valuable insights into marine life. Compared to homogeneous protocols, heterogeneous protocols are more dependable and energy-efficient. We present Heterogeneous Energy Efficient and Reliable Routing (HEERR), a more sophisticated DEEC protocol, in this work. When HEERR is compared to other hierarchical routing methods, it shows that throughput is increased and network lifetime is improved.
DATA PRIVACY AND ETHICS IN THE DIGITAL AGE
Authors: Priya Anu
Published: June 2024

In the relentless chase for technological advancement, the chapter takes a close look at the intricate web of data privacy and ethics in the digital age. Focused on pivotal topics such as consent and purpose limitation, it unveils real-life instances where these ethical principles were overlooked, serving as cautionary tales. Delving into the legal landscape, the narrative explores the strong data protection laws in India and globally, dissecting their role in curbing data leaks. However, the journey is not without challenges, as the digital realm constantly tests the resilience of these safeguards. From the accidental misuse of personal information to the evolving landscape of cyber threats, this chapter navigates the complex interplay between ethical considerations, legal frameworks, and the growing challenges surrounding data privacy in the contemporary digital ecosystem.
A PROPOSED METHODOLOGY FOR ENHANCING CONTEXTUAL UNDERSTANDING AND EMOTIONAL EXPRESSIVENESS
Authors: Padate Ms. Roshni , Gupta Dr. Ashutosh , Kalla Dr. Mukesh , Sharma Dr. Arvind
Published: June 2024

Image captioning has made significant progress in generating descriptive captions for images. However, traditional approaches often overlook the emotional dimension of images. The paper introduces a novel methodology for emotion-enriched image captioning, with the objective of enhancing both contextual understanding and emotional expressiveness. The proposed methodology combines techniques from computer vision, natural language processing, and affective computing to integrate emotions into image captions. It employs a sophisticated multimodal fusion framework that synergizes visual and textual information, extracting relevant features and contextual cues from images. Leveraging advanced emotion recognition models, the methodology accurately identifies and comprehends the emotional content depicted in images, facilitating the generation of emotionally enriched captions. Additionally, the proposed methodology explores the application of emotional embedding strategies to infuse emotions into the linguistic representation of captions. By doing so, it enables a more nuanced and expressive portrayal of the emotional content associated with images. The algorithmic workflow of the methodology encompasses feature extraction, emotion recognition, emotional embedding, and caption generation. The potential applications and implications of emotion-enriched image captioning are discussed, including its role in enhancing user experiences in image sharing platforms, facilitating accessibility for individuals with visual impairments, and enabling more empathetic and contextually aware human-computer interactions. Furthermore, the paper highlights the challenges in the field and presents future research directions, emphasizing the need for improved emotion recognition accuracy, subjective and context-aware caption generation, and the development of appropriate evaluation metrics. In conclusion, the paper proposes a novel methodology for emotionenriched image captioning, addressing the limitations of traditional approaches by incorporating emotions into the generated captions. The presented methodology opens new avenues for research and application, contributing to more engaging, emotionally impactful, and contextually aware image captions.
AN ARTIFICIAL INTELLIGENCE-BASED CHAT-BOT SYSTEM USING NATURAL LANGUAGE PROCESSING: A STUDY
Authors: Kumari K Sravana , Manjula Dr. B
Published: June 2024

Chatbots have become a prominent means of interacting with software systems. As the demand for maintainable and scalable systems grows, there needs to be more understanding of the necessary technologies. This is evident in the scattered literature on the topic, the popularity of oversimplified building tools, and the prevalence of below conversational agents. There is a pressing need to bridge the gap between theory and practice, enabling software developers to build robust and maintainable informal systems. This paper studies the underlying techniques and technologies involved in chatbot development. To achieve this, a case study, complete with source code, is presented to explore and understand the intricacies underlying user input comprehension. A literature review that sets the context for a detailed examination of the technologies within a real-life example precedes the study. Contrary to popular belief, developing this artificial intelligence is simple enough. A modern chatbot relies on various components to achieve scalability and performance. Fortunately, many of these technologies are relatively straightforward to understand and debug for technical professionals. The chatbot processes the input text through Natural Language Processing (NLP) techniques and assigns it to a predefined intent using a classifier. We then employed another classifier to determine the appropriate actions, which may involve providing a response or executing custom software. Understanding this pipeline can prevent technical overhead when troubleshooting issues arising from a seemingly opaque black box. The insights gained from this study will be valuable for advancing chatbot technology, allowing developers to create more sophisticated and reliable conversational agents. By demystifying the processes involved, this paper seeks to empower software developers to confidently build chatbots, contributing to improving the chatbot landscape as a whole.
MOBILE BANKING – A CASE STUDY OF PRE-AUTHORIZATION AND POST-AUTHORIZATION ON SESSION HIJACKING
Authors: Vishnuvardhan B , Manjula B
Published: June 2024

With the extensive growth of smartphone communication modernization into the corporate world, in the current Mobile banking transaction is for the most part biggest and viable in monetary financial locale. In the mobile banking region concern most key variable is Authentication is a security cycle to characterize entree phases or client/client honors related to framework resources holding PC programs, records, applications, data and services. In this chapter we discuss Cookie based Session hijacking problem in man in the middle attack technique in mobile banking technology. Based on this problem we are tested to detection of the session hijacking problem in various operating systems and analyze each attack detection time. Then proposed two types of techniques on authorization, i.e. Pre-Authorization request and Post-Authorization request. This technique are helpful prevention of session hijacking in mobile banking technology.
AN EFFICIENT ENSEMBLE MECHANISM FOR INTRUSION DETECTION
Authors: Pramod Dr. , B S Dr. Sunitha , C Lohith , T.T Sabin , K.M Divakar
Published: June 2024

Most classification and regression problems can be solved by training multiple learners, not by building a learner from the data. The boosting algorithm is one of the more recent developments in classification methodology, and it can turn weak learners into strong ones. It works by adding a classification algorithm to the updated weights of training samples in a sequential manner, through the majority voting technique of a sequence of classifiers. The AdaBoost algorithm is an efficient algorithm that combines weak algorithms to create a powerful classifier which can classify the training dataset with high accuracy. From the simulation results, it's clear that the AdaBoost classifier can achieve high search accuracy with short computation time and minimal cost, compared to the classification method. We have proposed a policy model to generate normal classes and attack classes and implemented an online access engine to allow or deny network access.
EXPLORING SENTIMENT ANALYSIS
Authors: Roy Tanisha , Singh Raj Aryan , Singh Pradyut
Published: June 2024

The paper explores sentiment analysis evolution in e-commerce, emphasizing product rating systems. It is portrayed as a nuanced concept covering emotions, attitudes, and individual nature. It categorizes methodologies, delving into discerning user sentiments. The subsequent section discusses core sentiment analysis approaches—NLP and ML. NLP's applications in language learning and machine learning algorithms (Naive Bayes, Linear Regression, SVM, and Deep Learning) are introduced. Diverse sentiment analysis tools cater to industry needs, with use cases in social media, education, politics, and market research. Acknowledging challenges like tone interpretation, lexicon limitations, emoji complexity, human annotator accuracy, and handling comparative sentences, the paper concludes by emphasizing sentiment analysis' impact on decision-making and user experiences despite challenges.
IMPORTANCE OF INFORMATION TECHNOLOGY IN EDUCATION AND THEIR PRACTICES ITS CHALLENGES IN RURAL AREA IN JHARKHAND STATE
Authors: Deo Sah Dr. Rahul , Sharma Dr. Tanya , Singh Dr. Namita , Mahto Dr. Rajendra Kumar
Published: June 2024

The incorporation of information technology within the educational setting and its utilization in the pedagogy of information technology. The field of information technology (IT) has a wider scope of interest in comparison to conventional academic conversations. Its objective is to involve a broader range of individuals, including educational practitioners like teachers and professional developers, in discussions related to innovative practices. The target audience of our study also encompasses researchers who are interested in exploring new and advanced innovations that require further and rigorous experimentation. The main goal of Information Technology Education: Innovations is to offer timely updates to our readers concerning new developments in the utilization of information technology in educational settings. Education is a perpetual and uninterrupted process, thereby requiring unimpeded availability at all times and in any place. The ongoing expansion of the information explosion phenomenon necessitates the need to obtain access to this extensive volume of information. In order to effectively address the varied needs of learners, it is imperative that education incorporates Information Technology (IT) as an essential component. The acquisition of technological literacy is considered a crucial requirement within society, demanding individuals to possess a high level of competence in this particular field. In order to effectively mitigate the challenges posed by illiteracy and poverty, it is crucial to enhance the accessibility of educational opportunities and decrease the financial burdens associated with them. Information technology (IT) offers a feasible solution in this context. Limited awareness of the job market and career options among individuals residing in rural areas has emerged as a significant impediment to development, particularly in light of the rapid evolution of work opportunities. Historically, rural areas have predominantly offered employment opportunities in the public sector, with limited information and guidance regarding emerging employment prospects in the private sector, both formal and informal. Hence, it is imperative to prioritize the dissemination of comprehensive information regarding the training programs, encompassing the outcomes of duly validated evaluations associated with said training initiatives.
THE IMPACT OF CLOUD COMPUTING ON SOCIAL NETWORKING PLATFORMS: EXPLORING POTENTIAL BENEFITS AND OBSTACLES
Authors: Deo Sah Dr. Rahul , Sharma Dr. Tanya , Gupta Dr. Ashish , Sahu Dr. Indra Nath
Published: June 2024

Social networks are more than just a platform for people to engage and form personal relationships. Instead of constructing and maintaining computing infrastructures, cloud computing allows social networking companies to consume compute resources as a utility. Nowadays, the "cloud" and "social" collaborate to provide social network members with a sustainable resource sharing environment. This paper presents internet-based cloud computing while also delving into the characteristics, service models, and benefits and problems of employing cloud computing in social networks. Traditional storage devices, for example, hard disks, flash drives, and other physical storage devices, are gradually becoming obsolete. The reason for this is that the global development of organizations expects information to be exchanged across representatives for cooperative functioning. On the client's personal usage front, numerous clients these days have various gadgets, for example, at least one portable/phone, tabs, workstations, work area PCs, and so on. As a result, cloud storage provides a way to access one's personal information across all of one's personal devices. As a result, a rising number of people are opting for the more convenient option of storing their data in the cloud. The ability to access files from remote locations with simply a consistent web connection provides the cloud an advantage over conventional storage alternatives.
AN APPROACH TO DOCUMENT CLUSTERING AND FRAMEWORK FOR STRUCTURING UNSTRUCTURED DATA
Authors: Manjhi Raju , Deo Sah Dr. Rahul , Mahto Rajendra Kumar , Kumari Anchal
Published: June 2024

In an era of information explosion, managing unstructured data has emerged as a major obstacle. By using document clustering, this research offers a novel solution to the problem at hand and introduces a solid foundation for organizing unstructured data. The suggested method uses cutting-edge machine learning methods and natural language processing to automatically group documents with similar properties. The method efficiently clusters massive amounts of unstructured data into meaningful clusters by discovering underlying patterns and correlations. The framework is made up of a number of crucial parts, including feature extraction from the data, applying the clustering method, and evaluating the clusters. To transform jumbled material into an organized manner, these elements collaborate effectively. The hierarchical and k-means clustering techniques are combined in the clustering method to increase the precision of document grouping. The success of the suggested technique in terms of clustering quality and efficiency is shown by experiments carried out on a variety of datasets. In order to make navigation and knowledge extraction easier, the organized output provides a cogent summary of the material. Information retrieval, content suggestion, and data-driven decision-making are just a few areas where this paradigm is useful.
Prevalence of Substance Abuse and Its Impact on Senior Citizens in Jalingo Local Government Area, Taraba State, Nigeria
Authors: Nathaniel Noel Anthony , Maikomo John Moses
Published: June 2024

In recent years, drug abuse has been a major source of concern in Nigeria and other part of the globe. This concern is associated is associated with the enormous effect potency of drug abuse on perpetrators. The above scenario stimulated the researchers to examine the prevalence and impact of drug abuse among senior citizens in Jalingo, Taraba State, Nigeria. The study was anchored on the social learning theory and survey research design was adopted. The population of the study comprised of senior citizens in Jalingo, Taraba State. Findings of the study unraveled that there is a prevalence of drug abuse among senior citizens in Jalingo. Furthermore, it was also found that alcohol is the most commonly abused substance among senior citizens in Jalingo. Based on the revelation, the study recommend among other things the need for consistent awareness, counselling and support to senior citizens that are addicted to drug abuse.
Systematic Literature Review (SLR): Analisis Upaya Guru dalam Mengatasi Kesulitan Belajar Peserta Didik di Sekolah Dasar
Authors: Nisa Sahrun , Arumdati Arumdati
Published: June 2024

Throughout the educational process at school, both teachers and students should strive to achieve the best results during the teaching and learning process. Teachers certainly hope that all students succeed in their learning and obtain satisfactory learning results according to expectations. “However, in fact, many students do not get the expected learning results due to difficulties in the learning process. Difficulties during the learning process faced by students are not a new thing for teachers. However, this problem still cannot be underestimated because it has a bad impact on students, teachers, and even schools. This learning difficulty is influenced by internal factors that come from the students themselves and external factors that come from outside the students. Thus, this study was conducted with the aim of analyzing teachers' efforts in overcoming students' learning difficulties, especially at the elementary school level. This type of research is in the form of a literature study”. The data collection technique is carried out by identifying discourses sourced from books, papers, and articles related to "Analysis of Teachers' Efforts in Overcoming Learning Difficulties for Students in Elementary Schools". The method used in this study is Systematic Literature Review (SLR), which is by identifying, analyzing, evaluating, and interpreting all the research found. The results of the study show that students who experience difficulties in the learning process need special attention and guidance to overcome them. In overcoming this, of course, efforts are needed from teachers as educators and supervisors in the learning process, especially in elementary schools.
The Oncolytic Viral Activity of SARS-CoV-2
Authors: Basher Abdullah M. , Alsayed Omar Alfarouk
Published: June 2024

The expanding domain of biotechnology has fostered the development of genetically modified viruses as pivotal players in advanced therapeutic strategies. Among these, oncolytic virus (OV) therapy has emerged as a promising avenue in cancer treatment. This review explores the feasibility and potential mechanisms underlying the utilization of a genetically engineered SARS-CoV-2 variant as an oncolytic agent. We propose that a modified SARS-CoV-2, engineered for reduced virulence, could be employed as a therapeutic tool against cancer. Mechanistically, upon infection, SARS-CoV-2 can activate the immune system, triggering an anti-tumor response through various pathways such as NK cell activation, molecular mimicry, and viral entry via ACE-2/NRP-1 receptors. Additionally, the downregulation of inhibitory molecules on NK cells post-infection further enhances anti-tumor activity. We elucidate the process of engineering modified SARS-CoV-2 utilizing a reverse genetic system, highlighting the safety measures necessary for its preparation. Moreover, we discuss strategies for retargeting coronavirus to enhance oncolytic efficacy, focusing on modifications to viral surface proteins. Clinical evidence supporting the potential of SARS-CoV-2-induced tumor regression is presented, including cases of spontaneous remission following COVID-19 infection or vaccination. These observations underscore the need for further investigation into the immunological mechanisms driving tumor regression post-SARS-CoV-2 infection. In conclusion, harnessing the therapeutic potential of genetically modified SARS-CoV-2 as an oncolytic virus represents a promising frontier in cancer therapy. By elucidating the underlying mechanisms and leveraging novel biological treatments, such as immune checkpoint inhibitors, may lead to tailored and effective cancer treatments with reduced side effects.
Symptomatic Gallbladder Stones: From Occasional to Everyday in Pediatric Surgery
Authors: Lucila Pulice , Lariguet Ines , Matias Trabaglia , Matias Berger
Published: June 2024

Introduction: Gallbladder stones (GS) in children were once considered rare. In recent years, the rate of cholecystectomies appears to have increased. GS may present with symptoms in 60% of cases and can be simple GS (biliary colic) or complicated GS (cholecystitis, pancreatitis, choledocholithiasis). Laparoscopic cholecystectomy (LC) is the treatment of choice. The disease often leads to multiple emergency department visits and even hospitalizations, generating an increase in morbidity and public health costs. The objective of this study is to evaluate the clinical presentation, risk factors, complications, treatment, and evolution of GS in children. Materials and Methods: Retrospective, cross-sectional study in children from 0 to 14 years of age, who underwent cholecystectomy for symptomatic GS at the Hospital Nacional Prof. A. Posadas between January 2018 and July 2022 (54 months). Results: A total of 219 LCs were performed, 36 (2018), 39 (2019), 36 (2020), 62 (2021) and 47 (first half of 2022) in patients with a mean age of 12.3 years (3-14), 68% female, 25% overweight, 23% obese, 86 patients with family GS. 36% complicated GS (CGS); 29 patients presented cholecystitis, 26 choledochal syndrome, and 33 pancreatitis. 15% had 3 or more consultations prior to surgery and 12% began as biliary colic and later presented CGS. 62% of patients with cholecystitis presented microlithiasis as an ultrasound finding and 88% of patients with pancreatitis presented microlithiasis. ERCP was required in 17 patients, IOC in 6 (2.7%), Rendez Vous in 3 (1.37%). 21 patients (9%) with postoperative complications were reported, of which 1 required relaparotomy. Conclusions: The incidence of GS has increased considerably in the period studied. The data suggest that poor diet and family GS are factors to be considered in its development. Finally, the time of evolution and the delay in surgical resolution has led to a higher prevalence of CGS in our population, which is why we believe that patients with symptomatic GS should be operated on after diagnosis.
Ẩm thực trong văn học dân gian người Việt
Authors: Đặng Quốc Minh Dương
Published: June 2024

Văn học dân gian mang tính nguyên hợp nên lưu giữ nhiều dấu vết của văn hóa Việt, trong đó có văn hóa ẩm thực. Tuy nhiên, hiện nay vẫn chưa có nhiều công trình nghiên cứu chuyên sâu về yếu tố ẩm thực trong văn học dân gian. Vì vậy, thông qua việc phân tích văn hóa ẩm thực trong các thể loại văn học dân gian như thần thoại, truyền thuyết, truyện cổ tích, truyện cười, ca dao, tục ngữ, … ở những khía cạnh khác nhau như nguồn gốc thức ăn; ẩm thực với anh hùng, bậc kỳ tài; về cái đói và giấc mơ no đủ; về chuyện miếng ăn là miếng nhục và miếng ăn là tất cả cuộc sống, bài viết kỳ vọng khám phá thêm những hiểu biết về những ý nghĩa nhân sinh sâu sắc được thể hiện thông qua văn hóa ẩm thực.
Cuộc đời và thi ca của Ni trưởng Huỳnh Liên
Authors: Thích Phước Đạt
Published: June 2024

Ni trưởng Huỳnh Liên là người được sinh ra trong thời thực dân Pháp độ hộ, trưởng thành trong cuộc đấu tranh chống Mỹ ở miền Nam. Cả cuộc đời tu đạo và hành đạo, ni trưởng Huỳnh Liên đã làm rạng danh Ni đoàn Khất sĩ. Rất nhiều đồ chúng xuất gia và tại gia đã, đang nối tiếp theo Người. Ni trưởng Huỳnh Liên còn là nhà thơ, những bài thơ được tập hợp và in trong thi phẩm Đoá sen thiêng được nhiều người yêu mến. Bài viết này tập trung giới thiệu cuộc đời và đặc điểm thi ca của Ni trưởng Huỳnh Liên.
La política lingüística i les experiències d’integració de les persones amb orígens migratoris: el cas de la comunitat portuguesa a Andorra
Authors: Hawkey James
Published: June 2024

A Andorra, el català ocupa un lloc de prestigi, com a única llengua oficial del país. Tanmateix, lluny de ser lingüísticament homogeni, el microestat pirinenc és una zona de diversitat i contacte de llengües en part degut a la seva composició demogràfica. Al voltant d’un 12 % de la població andorrana és de nacionalitat portuguesa i, per tant, el portuguès està present al país, a més del català, el castellà i el francès. Aquest article investiga com els membres de la comunitat portuguesa s’adapten al multilingüisme d’Andorra. A partir d’entrevistes semidirigides, sorgeixen una sèrie de temes discursius que ens permeten comprendre les ideologies lingüístiques dominants de les persones amb orígens migratoris a llocs poc estudiats, com ara Andorra. Aleshores, s’apliquen aquests resultats a una anàlisi de noves polítiques lingüístiques andorranes que pretenen millorar la integració lingüística dels nouvinguts. Els resultats mostren que el català té un grau elevat de prestigi, encara que el mercat lingüístic transnacional del microestat concedeixi un valor pràctic als repertoris multilingües. La competència en català serveix per mantenir jerarquies socials, i el fet que molts portuguesos només es queden a Andorra durant un període breu inhibeix encara més la integració social i lingüística de la comunitat portuguesa en general.
أثر علم المنطق في الكلام الأشعري المتأخر: معالم ونماذج
Authors: مبركي عمر
Published: June 2024

يهدف هذا البحث إلى إبراز أثر علم المنطق في الكلام الأشعري المتأخر، منطلقًا من فكرة مفادها: أن هذا الأثر لا ينحصر في المناحي المنهجية كما تُقرِّر ذلك كثير من الدراسات المعاصرة، وإنما يظهر على نحو أكثر قوة في التقريرات والمضامين الكلامية التي تُعد عمود العلم ومادته الصلبة. ولبيان هذه الفكرة، يتتبع البحث، متوسلًا بالمنهج الوصفي التحليلي، الأبواب الكلامية الأصلية الثلاثة (الإلهيات، والنبوات، والسمعيات) لرصد معالم الأثر المنطقي فيها. وقد اقتضت طبيعة الموضوع أن يقسم البحث إلى محورين: خصص الأول لبيان موقف المتكلمين من علم المنطق، وعرض المسوغات التي جعلتهم ينافحون عنه ويدعون إلى الاستفادة من قواعده ومناهجه في قضايا الكلام، وأفرد الثاني لرصد أثر المنطق في علم الكلام الأشعري من جهتي الحدود والاستدلالات. وقد خلص البحث إلى جملة من النتائج منها: ضرورة استصحاب موقف المتكلمين الإيجابي من المنطق في تطوير علم الكلام، بما يجعله قادرًا على مواجهة التحديات المعاصرة.
Sociology of Management Evolution from Street to Displaced Settlement in Grafton, Western Rural, Sierra Leone
Authors: Bangura Mohamed
Published: June 2024

The sociology of management evolution from street to displaced settlement can be extremely overwhelming. It means ditching or quitting long-lived customs, conducts, affinities and establishing contemporary individualities. The stretch to which those that have been transferred to contemporary settlements conform and adapt and retire to contemporary  social fashions of community existence would be resolved by the nature and stretch of social solidarity prevailing  in that cultural community. An absence of social solidarity within settled cultural communities makes it susceptible to multiple shapes of social disintegration which evident fundamentally in a multiplicity of social predicaments. The sociological research was reasoned or apprized by 150 dialogues with respondents selected in the divergent domains of the social research spot utilizing a non-probability sampling strategy. In the case of Grafton, a legal human settlement it was more than two decades that residents from a multitude of slum settlements in the metropolis of Freetown have been resettled in this community. It emerges from the social research that steadily the residents of Grafton have settled humble to community and household existence and appreciate a robust impression of social solidarity not withstanding numerous challenges embracing social utility dispatch and the emergence of social predicaments. This sociological research highlights that a significant multitude of members of the community have a perception of kingship in the community and is ambitious regarding enhancing their standard of social existence.
Comparative Effect of Lisinopril and Amlodipine with Moringa Oleifera on the Kidney Function of Dexamethasone and Salt-Induced Hypertensive Albino Rats
Authors: Bot David Yakubu , Ukachi Agatha Ikirgh , Emaina Aliku Simon , Azi Joseph Yakubu , Manzo Daniel , Bamidele Olaniru Olumide , Joseph Adama , Joshua Evelyn Oki , Badung John Nyango , Terver Sesugh Daniel , Ahmed Hadiza A , Mafwil Uren Joseph , Mafwil Uren Joseph , Akanga Reuben Job , Banda Jim Monday , Longkem Bitrus , Gyang Moses Davou
Published: June 2024

Hypertension is one of the most common causes of death worldwide; and a common cause of cardiovascular and renal complications which can be frequent, chronic and age related. Use of antihypertensive drugs such as Lisinopril and Amlodipine which have no significant first pass effects, pose a threat to the kidney. This study aimed at comparing the effects of conventional antihypertensive drugs Lisinopril and Amlodipine with Moringa oleifera on the kidney of Albino rats using Urea and Creatinine as markers. A total of 30 Albino rats were divided into six groups. Group I served as negative control; Group II as positive control; Groups III, IV, V and VI were test groups. They were induced hypertension with Dexamethasone-salt and treated with 0.07mg/kg body weight Lisinopril, 0.27mg/kg Amlodipine and with 20mg/kg and 40mg/kg Moringa oleifera leaves capsules respectively. At the end of treatment which lasted for 3 weeks, the animals were sacrificed and blood samples collected into clean-dry containers and serum harvested; and used to measure the levels of Urea and Creatinine with Chemistry auto-analyzer (COBAS C111). Data obtained were analysed using statistical package for the social sciences (IBM-SPSS) version 27.0. The results indicated no significant increase in serum Urea and insignificant decrease in Creatinine in all the treatment groups. This indicates synergy in these classes of antihypertensive drugs and Moringa at the said concentrations. Based on these results, it can be concluded that Moringa oleifera leaves extract could be used complementarily with Lisinopril and Amlodipine for treatment and management of hypertension.
A Model for Developing Professional and Methodological Skills of Science Teachers in Teaching Science
Authors: Amirullaeva Barno Abdulhaqovna
Published: June 2024

In this article, the development of the model of the pedagogical activity of Science teachers has analyzed and confirmed the potential of achieving the effectiveness of continuous professional development of Science teachers through modeling.
Hydrogen May or May Not Be a Pure Fuel When Utilized in Substantial Quantities
Authors: Kotsis Konstantinos T.
Published: June 2024

A detailed analysis of the widespread use of hydrogen as a clean fuel is presented in this study. To properly address this issue, the research is organized into several parts that guide the investigation of important components. It is essential to have an introduction to provide the groundwork for comprehending the significance of hydrogen as a source of clean energy. From there, the research delves into the technical components of hydrogen fuel technology and the breakthroughs made in the transportation and industrial sectors. The last part of this presentation will consist of a critical analysis of the environmental advantages and problems linked with the broad use of hydrogen fuel.
Childhood Ailments in Two Mining Towns in North West Tasmania in the Late Nineteenth and Early Twentieth Century
Authors: Stride Peter
Published: June 2024

The discovery of tin in northwest Tasmania precipitated a flood of miners into the area, followed shortly, inevitably by their families. Paediatrics became part of the local doctors’ practice. Childhood ailments excluding infectious diseases in the mining towns of Waratah and Zeehan in north-west Tasmania as documented in the local newspapers a century ago are described. The challenges of working in such a remote environment and the diverse skills expected of a medical practitioner in a situation similar to today’s remote general practice are outlined. Details of the infectious conditions experienced in that environment have been previously published.
La filosofía de la ciencia orientadora de la investigación y producción científica en la educación superior peruana.
Authors: Álvarez Iparraguirre César Enrique , Baselly Cueva José Antonio , Sánchez Cáceres /Víctor , Guevara Peña Edixsón Hildefonso
Published: June 2024

Abstract Higher education in Peru; the work theorizes, reflects and argues heuristically the performance or role of the philosophy of science in scientific research within the framework of Peruvian, Latin American and world higher education. In generic terms, the philosophical educational action at the higher level is very important, since it is an essential and very necessary element; among others, for the generation of knowledge within the research process and specifically in teaching-learning the methodology of research at university level. The classification of formal, factual and applied sciences does not reflect philosophically on the generation of scientific knowledge, methodology, development and quality of the finished product. Finally, it does not establish knowledge and application of the relevant philosophy, for the scientific method, having largely distinguishable limitations in the scientific production of Peruvian universities, reason why it is not published in scientific journals such as Scopus, Web of Sciene and Sciel. Keywords: Philosophy, science, scientific research, higher education
Filosofía de ciencia y la investigación científica.
Authors: Romero-Carazas Rafael
Published: June 2024

Abstract The objective of the essay was to address the philosophy of science and research, highlighting how scientific knowledge is developed, validated, and characterized. An empirical, systematic methodology based on rigorous observation and experimentation is emphasized, guaranteeing scientific findings based on verifiable evidence. In addition, the iterative nature of scientific research highlights the importance of flexibility to guide the development of new knowledge. As a basic criterion for distinguishing between science and non-science, Karl Popper’s falsifiability criterion states that a hypothesis must be experimentally disprovable. In addition, the theories of scientific revolutions and paradigms (Thomas Kuhn) are explored, highlighting how new ways of thinking about various things can lead to important advances in the understanding of science. It also considers the debate between realism and anti-realism, addressing research ethics, emphasizing issues of moral responsibility, ethical standards and equitable distribution of benefits or risks. In conclusion, critical and morally responsible conduct, which has a beneficial impact on society, is largely based on philosophical considerations of science. In order to ensure that the expansion of knowledge has a favorable impact on this society while respecting rigorous ethical standards, the philosophical importance in the critical appraisal of such scientific activity is emphasized. Keywords: philosophy, ethics, research, scientific knowledge.
Estudo de Caso acerca das Prestações de Contas do Municipio de Miguel Alves-Piauí.
Authors: Sousa Raimundo
Published: June 2024

Abstract The representation of the City Hall of Miguel Alves do Piauí as a legal, economic and social entity in public administration is relevant for both the allocation and application of resources. Accountability is mandatory for anyone who uses,collects, keeps or manages public money, assets and values. The aim of this work is to understand the difficulties faced by the municipal accounting sector. Through a single case study, this research sought to identify the influence and importance of communication in accountability. As a result, the following contributions were found: for the preparation and delivery of accountability documentation in a timely manner; seeking specifically verify the causes of constant delays in the delivery of documentation; as well as listing the difficulties of timely delivery; in addition to suggesting effective means to speed up accounting work. Key words: Accountability, role of the accountant, court of auditors.
Assessing Arm’s Length Guarantee Fee: Insights from the Crédit Industriel et Commercial Case
Authors: Trancart T.
Published: June 2024

In a context where more and more tax disputes relate to intercompany financial guarantees, this article analyses the Crédit Industriel et Commercial case and its practical implications. This decision highlights certain divergences that can arise between taxpayers and tax authorities when defining an arm’s length guarantee fee. In this case, such differences revolved around both the delineation of the guarantee and the appropriate pricing methodology.
Impact of Minimum Wage, Inflation, and Economic Growth on Poverty in Yogyakarta Province
Authors: Sekarwati Dias , Priana Wiwin , Wardaya Wirya
Published: June 2024

Poverty is a very complex problem caused by many factors. Poverty itself means that individuals lack the ability to fulfill the basic needs of life. Regional autonomy established by Indonesia requires regional governments to manage their respective territories. Yogyakarta Province has the highest poverty rate on the island of Java. Poverty occurs due to microeconomic factors. Minimum wages, inflation rates, and economic growth are among the macroeconomic factors that cause poverty. The aim of this research is to find out how Yogyakarta Province's minimum wage, inflation rate, and economic growth affect the province's poverty level. Panel data regression models are used in this type of quantitative research. Cross-sectional data from districts and cities in Yogyakarta Province for 2009–2023 were used in this study. Based on research findings, the poverty level of DI Yogyakarta Province is largely determined by the minimum wage and economic growth variables, while it is not influenced by the inflation variable.