bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment and Analysis of Heavy Metals Present in Vegetables Grown Near Yamuna River Region: A Review
Authors: Kanojia Rohit
Published: October 2024

The sacred river Yamuna traverses through Delhi, transporting a multitude of contaminants and heavy metals, which subsequently contaminate the water utilised for irrigation purposes. Vegetables, which are essential for our survival, contain significant amounts of heavy metals such as Arsenic (As), lead (Pb), mercury (Hg) and more. These metals are absorbed by vegetables from the soil due to irrigation with contaminated river water. Furthermore, the use of sewage water and industrial effluents has been highlighted as the main factor contributing to the contamination of heavy metals. It can lead to severe health consequences such as cancer, neurological damage, carcinogenic effects, and organ damage. Moreover, it has detrimental impact on the aquatic organisms that inhabit it, and when ingested by living organisms, it leads to harmful consequences. Cancer is a leading cause of mortality, and its aetiology remains unknown, however it is believed to be influenced by the daily dietary intake of individuals. Heavy metals present in vegetables can potentially contribute to the development of several chronic diseases. Several advanced elemental analysis techniques are employed to acquire accurate and reliable data in the assessment and characterisation of heavy metals present in vegetables grown in soil areas near the Yamuna River.
Pediatric Case of Calcifying Epithelial Odontogenic Tumor-A Case Report
Authors: S* Ramapurath , S Bhandary , M Ashaya , R Kini
Published: October 2024

Calcifying epithelial odontogenic tumor (CEOT), also known as Pindborg tumor, is a rare, slowly growing, locally invasive epithelial odontogenic neoplasm. Among all odontogenic tumors, CEOT accounts for only 1% of cases. Although CEOT’s are mostly benign, malignant transformations have also been reported. Hence early diagnosis is important to improve the prognosis and the quality of life of the individual. Here we report a unique case of CEOT in a 12 year old male who presented with chief complaint of swelling in the lower right part of face. Sequential and systematic examination revealed the presence of thin walled solitary expansile lesion with subtle areas of calcification suggestive of CEOT. Proper clinic pathological and radiological correlation is essential in diagnosing this benign neoplasm. Complete surgical excision is essential to prevent its recurrence. Recurrence in the pediatric population is unknown hence close surveillance is of great importance.
Omicron B.A 2: Vaccine Construction with MHC Class-I, MHC Class-II by using Bioinformatics Tools
Authors: Mazhar Muhammad Waqar
Published: October 2024

SARS (COV-2) was recognized in 31/December/2019 in Wuhan city in the Hubei Provence of China. The omicron variant of COVID-19 reported in November 2021. Omicron can have many earlier documented mutations of other variant of concern (VOC) omicron is including 32 mutations of spike like protein, it is too compared of the 16 mutations. The omicron variant has been divided into four linages BA.1, BA.2, BA.3, B.1.1.529. BA.1 which could destroy our immune system and vaccine are not highly effective against BA.2.
A Complex Relationship between Virus Infection and Host Metabolism
Authors: BAR Hassan
Published: October 2024

To replicate efficiently inside the host, the virus can control or exploit a number of metabolic pathways; however, which route is regulated relies on the conditions that are ideal for the virus's replication or its favorable effect. Viruses not only rely on certain metabolic pathways, but they also alter them when they invade. The virus imposes its own metabolic programme on the host cell, interfering with its metabolic regulation. When a virus infects a cell, it often modifies the host cell's metabolic machinery to meet the bioenergetic and biosynthetic demands of reproducing. The current article focuses on the major metabolic pathways that viruses can affect and change.
Mini-Review: Viral Food Safety against Foodborne Viral Diseases
Authors: RMK El-Dairouty
Published: October 2024

A wide variety of viruses may be foodborne transmitted. These viruses belong to numerous different families and the diseases associated with their infection may range from mild diarrhea to severe neural diseases. Viruses are responsible for the greatest number of illnesses from outbreaks caused by food and water, since a significant increase in viral foodborne outbreaks have occurred over the past 20 years. This mini-review will be focused on the viruses most commonly found as food contaminants, noroviruses (NoV); the virus causing the most abundant type of hepatitis, hepatitis A virus (HAV); and on another hepatitis virus that represents an emerging foodborne threat, hepatitis E virus (HEV). Viruses may contaminate a wide variety of food products at pre-harvest or post-harvest stages. It is evident that the adoption of strict hygienic food processing measures from farm to table is required to prevent viruses from contaminating our foods. Although, and recently many plants have demonstrated potent antiviral activity against many kind of viruses and these findings suggest that these plants may have potential as therapeutic and/or food- additives agents to yield newer drugs or functional foods.
Comparative Analysis of Point-Of-Care Ultrasound versus Traditional Radiology Ultrasound in the Diagnosis of Appendicitis: A Prospective Study
Authors: N Mustansar
Published: October 2024

Objective: This prospective study aimed to compare the diagnostic accuracy and efficiency of point-of-care ultrasound (POCUS) performed by emergency physicians versus traditional radiology ultrasound in the diagnosis of appendicitis. Design: It is a cross sectional prospective study carried out in the department of radiology ARIRI- MH RWP for a span of 9 months. Setting: Radiology department AFIRI-MH RWP. Study Duration: 9 months from Jan 2023 to October 2023. Methodology: A total of 100 patients presenting with symptoms suggestive of appendicitis were enrolled in the study. Fifty patients underwent POCUS performed by experienced emergency physicians with five years’ post-specialization experience, while the remaining 50 patients underwent traditional radiology ultrasound by an experienced radiologist, with five years of post-specialization experience. Diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and turnaround time were compared between the two groups. Statistical analysis was performed using appropriate tests to determine significant differences. Results: Diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and turnaround time of POCUS was better than the traditional ultrasound. Conclusion: In this prospective study, point-of-care ultrasound performed by emergency physicians demonstrated superior diagnostic accuracy and efficiency compared to traditional radiology ultrasound in the diagnosis of appendicitis.
Improving a dynamic farm level model by coupling empirically estimated pre-crop values with crop rotation optimization
Authors: Rämö Janne , Tzemi Domna , Lehtonen Heikki , Palosuo Taru , Peltonen-Sainio Pirjo
Published: October 2024

The dominance of cereal-based rotations in Finnish agriculture contributes to adverse environmental impacts, and shifting towards diversified cropping systems has been minimal. Since economic viability and profit motives are strong among farmers, there is a need for analysis tools investigating the profitability of agronomically feasible, diversified cropping systems and rotations. While there is consensus on pre-crop effects, their impact is unclear and often overlooked in decision-making. We integrate recent empirically estimated pre-crop values into farm models to assess their influence on land use and farm economy and use dynamic optimization to solve the economically optimal crop rotations. The results show that including empirically estimated pre-crop values improves on subjective expert estimates of pre-crop effects and can eliminate the need for additional rotational constraints. Utilizing pre-crop effects consistently over time may lead to significant economic gains. This approach can contribute to sustainable agriculture by encouraging diversification and resilience, even amidst changing climates or novel crops.
Cultural Heritage Protection and Revitalization of its Local Wisdom: A Case Study
Authors: Kartono Kartono , Fadilah Muhammad , Yuliantiningsih Aryuni , Thakur Anupriya
Published: October 2024

Banyumas Old Town, once the capital of the district, is home to numerous historical buildings recognized as cultural heritage or potential cultural heritage sites. Since 2010, this area has been designated as a protected zone focused on environmental preservation. This research aims to describe and analyze the policies implemented for the preservation the historic buildings in Banyumas Old Town, as well as to identify and address the challenges faced in the preservation efforts. Utilizing legal research methods, particularly a case study approach, the study employs qualitative analysis. The data include secondary sources, comprising both primary and secondary legal materials. Additionally, field data were collected through observations and interviews. The findings indicate that the revitalization plan for Banyumas Old Town has been successfully implemented. Key action include designating the Banyumas sub-district as a protected area, conducting an inventory of suspected cultural heritage objects (ODCB), officially recognizing cultural heritage sites, and securing funding through the local government budget (APBD). These policies are formalized through the establishment of regional spatial planning and cultural heritage regulations. The primary obstacle to protecting cultural heritage buildings is the significant number of sites that have been privatized, alongside the limited opportunities for transferring cultural heritage or ODCBs that have received government renovation support following the revitalization of Banyumas Old Town.
Pengaruh Pengelompokkan Kelas Riset Robotika Terhadap Prestasi Belajar Pendidikan Pancasila
Authors: Lestari Dwi Indah , Kurnia Heri , Paiman Paiman
Published: October 2024

AbstractThe effect of grouping robotics research classes on learning achievement in Pancasila education has become an interesting research focus in the context of modern education. This article discusses the background to the integration of technology in education, the relevance of combining robotics and Pancasila Education, and the importance of understanding the relationship between the two. This research method involves descriptive statistical analysis and simple linear regression with a population of 382 students and a sample of 192 students. Data was obtained from questionnaires and documentation through report cards from robotics research classes at MTs Negeri 1 Yogyakarta. The results of the analysis show that the instruments used are valid and reliable, and there is a significant relationship between the robotics research class grouping and Pancasila Education learning achievement. The results of simple linear regression show that around 73.1% is significant and 26.9% is influenced by other variables not included in this research. In conclusion, there is a significant influence of the robot research class grouping on Pancasila Education learning achievement. These findings show the potential for using technology such as robotics to improve learning of traditional subjects such as Pancasila Education at MTs Negeri 1 Yogyakarta.-------------------------AbstrakPengaruh pengelompokkan kelas riset robotika terhadap prestasi belajar Pendidikan Pancasila telah menjadi fokus penelitian yang menarik dalam konteks pendidikan modern. Artikel ini membahas latar belakang integrasi teknologi dalam pendidikan, relevansi penggabungan antara robotika dan Pendidikan Pancasila, serta pentingnya memahami hubungan antara keduanya. Metode penelitian ini melibatkan analisis deskriptif statistik dan regresi linier sederhana dengan populasi 382 siswa dan sampel 192 siswa. Data diperoleh dari kuesioner dan dokumentasi melalui nilai rapor kelas riset robotika di MTs Negeri 1 Yogyakarta. Hasil analisis menunjukkan bahwa instrumen yang digunakan valid dan reliabel, serta terdapat hubungan yang signifikan antara pengelompokkan kelas riset robotika dan prestasi belajar Pendidikan Pancasila. Hasil regresi linier sederhana menunjukkan bahwa sekitar 73.1% signifikan dan 26,9% dipengaruhi oleh variabel lain yang tidak dimasukkan kedalam penelitian ini. Kesimpulannya, terdapat pengaruh yang signifikan pengelompokkan kelas riset robotika terhadap prestasi belajar Pendidikan Pancasila. Temuan ini menunjukkan potensi penggunaan teknologi seperti robotika dalam meningkatkan pembelajaran mata pelajaran tradisional seperti Pendidikan Pancasila di MTs Negeri 1 Yogyakarta.
Penerapan Media Poster Digital Berbasis Project Based Learning Terintegrasi Tri-N Untuk Meningkatkan Keaktifan Belajar Pendidikan Pancasila
Authors: Firdausia Luftia , Wibawa Sutrisna
Published: October 2024

AbstractThis research aims to determine the application of digital poster media based on the Tri-N integrated Project Based Learning model on students' active learning in Pancasila Education subjects in 4th of Karangnongko 1 State Elementary School. This research is descriptive qualitative research. The subjects of this research were 4th students. Data collection techniques in this research were carried out using interviews, observation, questionnaires, and documentation. The data analysis techniques used in this research are data reduction, data display, and drawing conclusions. The importance of implementing the Tri-N integrated Project Based Learning model with digital poster media means that students have no difficulty in asking, answering and thinking activities. The research results based on interviews with teachers say that students are more active with the application of digital poster media based on the Tri-N integrated Project Based Learning model. Based on the research results, it can be seen that the application of digital poster media based on the Tri-N integrated Project Based Learning model can increase student learning activity in Pancasila Education subjects. The teacher made the digital poster media entitled "Aku Peduli Diriku" using the Canva application to create an attractive digital poster for students.---------------------Abstrak Penelitian bertujuan untuk mengetahui penerapan media poster digital berbasis model pembelajaran Project Based Learning terintegrasi Tri-N terhadap keaktifan belajar siswa pada pelajaran Pendidikan Pancasila di kelas IV SD Negeri Karangnongko 1. Penelitian ini ialah penelitian deskriptif kualitatif. Subjek penelitian ini ialah siswa kelas IV. Teknik pengumpulan data pada penelitian ini dilakukan dengan metode: wawancara, observasi, kuesioner serta dokumentasi. Teknik analisis data yang dipergunakan pada penelitian ini ialah display data, reduksi data, serta penarikan kesimpulan. Pentingnya penerapan media poster digital berbasis Project Based Learning terintegrasi Tri-N menjadikan siswa tidak kesulitan dalam aktivitas bertanya, menjawab, dan berdiskusi. Hasil penelitian berlandaskan wawancara dengan guru mengungkapkan yakni siswa lebih aktif dengan implementasi media poster digital berbasis model pembelajaran PjBL terintegrasi Tri-N. Berlandaskan hasil penelitian dapat diketahui bahwa penerapan media poster digital berbasis Project Based Learning terintegrasi Tri-N mampu menaikkan keaktifan belajar siswa pada mata pelajaran Pendidikan Pancasila. Media poster digital yang berjudul “Aku Peduli Diriku” dibuat guru melalui aplikasi canva sehingga terwujud poster digital yang menarik untuk siswa.
Meningkatkan Minat Belajar Pendidikan Pancasila Menggunakan Quizizz Paper Mode
Authors: Kurniawan Feri , Chotimah Umi , Anggraini Nyimas Nuria Hasnah
Published: October 2024

AbstractTeacher utilization and innovation in the use of learning media is an important factor in increasing students' interest in learning. Research aimed at increasing students' interest in Pancasila Education through using Quizizz Paper Mode at SMPN 33 Palembang. The method used was classroom action research consisting of three cycles. The subjects of this study involved all students of class VII.1 at SMPN 33 Palembang, totaling 31 students. The data collection technique in this research was observation carried out by three observers who then analyzed the data obtained using descriptive percentage data analysis techniques. The research results showed an increase in students' interest in learning after applying Quizizz Paper Mode in Pancasila Education. This is evidenced by the measurement of students' interest in learning at the pre-cycle stage, which was only 45%, then increased to 63% in cycle 1, then further increased to 79% in cycle 2, and finally reached 87% in cycle 3 (outstanding interest category).------------------------AbstrakPemanfaatan dan inovasi guru dalam penggunaan media pembelajaran merupakan faktor penting untuk meningkatkan minat belajar peserta didik. Penelitian ini bertujuan untuk meningkatkan minat belajar peserta didik dalam mata pelajaran Pendidikan Pancasila melalui penggunaan media Quizizz Paper Mode di SMPN 33 Palembang. Metode yang digunakan adalah penelitian tindakan kelas yang terdiri dari tiga siklus. Subjek dalam penelitian ini melibatkan seluruh siswa kelas VII.1 SMPN 33 Palembang yang berjumlah 31 orang. Teknik pengumpulan data dalam penelitian ini adalah observasi yang dilakukan oleh tiga observer yang kemudian di analisis data hasil yang diperoleh menggunakan teknik analisis data deskriptif persentase. Hasil dari penelitian yang telah dilaksanakan menunjukkan adanya peningkatan minat belajar peserta didik setelah menerapkan media Quizizz Paper Mode dalam pembelajaran Pendidikan Pancasila. Hal ini terlihat dari hasil pengukuran minat belajar peserta didik pada tahap pra-siklus yang hanya 45%, kemudian meningkat menjadi 63% pada siklus 1, lalu meningkat lagi menjadi 79% pada siklus 2, dan akhirnya mencapai 87% pada siklus 3 (kategori minat sangat baik).
Penguatan Karakter Peduli Lingkungan Melalui Program Bank Sampah Inges (Studi Kasus Desa Dasan Lekong Kecamatan Sukamulia Lombok Timur)
Authors: Mahmudi Muhammad Alpan Rasyid , Ismail M. , Sawaludin Sawaludin , Alqadri Bagdawansyah
Published: October 2024

AbstractThis research aims to describe the implementation of the Inges Waste Bank program, how to strengthen the character of caring for the environment through the Inges Waste Bank program, and the supporting and inhibiting factors for the Inges Waste Bank program. This research uses qualitative research with a case study type, in which the author investigates in detail related to a program which occurs following the reality of the research object. The research techniques used in this research are interviews, observation and documentation. The data analysis technique used is the data analysis technique according to Milles and Huberman which consists of three stages, namely data condensation, data display, and drawing conclusions. This research shows that the Inges waste bank program has 3 activities: educating the public about waste, making crafts and compost from waste, exchanging waste for wifi vouchers. Now Dasan Lekong Village is the cleanest village in Selotim. It can be concluded that the existence of the Inges waste bank program can improve the environmentally caring character of the people of Dasan Lekong Village.-------------------AbstrakTujuan penelitian untuk mendeskripsikan implementasi program bank sampah inges, bagaiamana penguatan karakter peduli lingkungan melalui program bank sampah inges serta faktor pendukung dan penghambat program bank sampah inges. Penelitian ini mengguankan penelitian kualitatif dengan jenis studi kasus (case study), yang dimana penulis menyelidiki secara mendetail terkait dengan suatu program yang di mana terjadi sesuai dengan kenyataan pada objek penelitian. Teknik penelitian yang digunakan dalam penelitian ini adalah wawancara, observasi dan dokumentasi. Teknik analisis data yang digunakan adalah teknik analisis data menurut Milles dan Huberman yang terdiri dari tiga tahapan yakni kondensasi data, display data, dan menarik kesimpulan. Hasil penelitian ini bahwa dalam kegiatan program bank sampah inges ini memiliki 3 kegiatan yaitu: Edukasi masyarakat tentang sampah, membuat kerajinan dan kompos dari sampah, menukarkan sampah dengan voucher wifi. Kini Desa Dasan Lekong menjadi desa terbersih selotim. Dapat di simpulkan bahwa adanya program bank sampah inges ini dapat meningkatkan karakter peduli lingkungan masyarakat Desa Dasan Lekong.
Digitalization and digital technologies: The obstacles to adaptation among Hungarian farmers
Authors: Fróna Dániel , Szenderák János
Published: October 2024

Research background: Digital technologies aim to enhance efficiency, competitiveness, and sustainability. Despite ongoing efforts, Hungary is encountering various challenges in digitalization. This research seeks to investigate the potential of digital technologies in addressing these challenges, with a particular focus on precision agriculture technologies (PA).
Purpose of the article: This study explores the utilization of digital technologies among 81 agricultural and food companies in Hungary. The study evaluates the use of advanced and less advanced digital technologies and their impact on rural areas. Additionally, the research seeks to understand the economic and social impacts resulting from the adoption of these technologies, focusing specifically on precision farming.
Methods: The study uses advanced clustering methods to categorize agricultural companies based on their use of digital technology. The research employed the two-step clustering method, which has been recognized for its robustness in clustering mixed-level variables.
Findings & value added: Farmers and food producers generally have low adoption rates of advanced digital technologies, preferring common but less advanced tools. This is mainly due to high investment costs, economies of scale, limited experience and expertise, and a lack of willingness to cooperate among farmers. The respondents could be classified into two groups: one group is aware and even understands advanced technology, but rarely uses it. In contrast, the other group is largely unaware of these technologies. The results indicate that a lack of knowledge and expertise can significantly impede the adoption of advanced technologies in agriculture. Policymakers must develop a mix of policies that collectively reduce the economic barriers to technology adoption while engaging stakeholders who may not fully understand the benefits of advanced technologies.
La responsabilidad extendida del productor: bases para comprender una propuesta que representa retos y oportunidades para la cadena de valor
Authors: Vargas-Chaves Iván
Published: October 2024

El presente artículo tiene por objetivo estudiar la responsabilidad extendida del productor como presupuesto para redistribuir las cargas entre el sector privado, el ambiente y la sociedad; en tanto que como modelo representa retos y oportunidades en la cadena de valor del producto. La metodología utilizada incluyó un estudio exploratorio y un análisis documental descriptivo a través de la recopilación de normas e información plasmada en documentos académicos, logrando desarrollar el marco teórico, normativo y conceptual que sustentó el objetivo propuesto. Como resultado, el artículo expone las bases conceptuales y propone unos lineamientos para llevar la responsabilidad extendida del productor a la práctica. Por último, se concluye que esta responsabilidad debe hacer parte de cada etapa de la cadena de valor de los productos, y es, además, el cimiento jurídico de un nuevo modelo de posconsumo sostenible y ambientalmente responsable.
Some Aspects of Methodological Support for Teaching Printmaking in Russian and Chinese Higher Education Institutions
Authors:   Herzen State Pedagogical University of Russia, Zhang Tong
Published: October 2024

This article provides an in-depth analysis of the conditions under which methodological support for the process of teaching printmaking occurs in universities in Russia and China, with special emphasis on issues related to the necessity of updating methodological resources and technical infrastructure, which is particularly relevant for Russian universities. In the context of China, the discussion addresses the dilemma between adherence to traditional practices and the adaptation of teaching methods to new technological trends. The comparative analysis reveals the convergence and divergence in the educational and value systems of both countries, ex-amining the impact of these factors on the educational process. The article concludes by asserting the necessi-ty of synthesizing best practices and accelerating the reform of educational content, which will serve as a key to enhancing the quality of teaching and strengthening cultural ties between Russia and China in the field of art.
On the Issue of Means of Forming Professional Competencies of Future Paramedics
Authors:   Pskov State University, Medvedeva Irina N. , Prokofieva Elena Yu. ,   Herzen State Pedagogical University of Russia
Published: October 2024

This article is devoted to approaches to the development of modern means of developing professional compe-tencies for students of medical colleges, the work presents tasks for analyzing the sufficiency of data, the spe-cifics of the approach to their development for training medical students are considered, the results of testing are presented, and examples of such tasks in the discipline of Pediatric Infections are given. Note that the same professional situation and the question posed to it can be the basis for different conclusions depending on the statements formulated. This allows the teacher to vary the task, practice the knowledge and skills of the future physician, immersing him in different aspects of his professional activity. It is important to note that in the formulated statements each time the specific professional actions of the paramedic are described and various options are proposed. The material can be used as didactic support in practical classes during the implementa-tion of educational programs for the training of future paramedics.
Professional Identity as a Pedagogical Condition for the Formation of Professional Culture of Technology and Catering Specialists in the Educational Environment of the University on the Basis of Gastronomic Discourse and the Case Method
Authors:   Sochi State University (Anapa branch), Musiychuk Sergey V.
Published: October 2024

The article addresses the issue of forming the professional culture of specialists in food technology and cater-ing organizations in the educational environment of universities, using the case study method’s gastronomic discourse in accordance with the pedagogical condition of “Professional Identity”. The relevance of the re-search lies in the need to transform the educational process in line with the Presidential Decree “On National Goals and Strategic Objectives for the Development of the Russian Federation”. Research methods: theoretical analysis, testing, formative experiment, mathematical statistics method and nonparametric criterion X 2. The novelty of solving the problem consists in the development of a technology for the formation of a professional culture of a specialist using the condition “Professional identity” based on the gastronomic discourse of the case method. The theoretical and practical significance consists in the development of the content of the condi-tions for the formation of a professional culture of technology specialists and catering organizations, contrib-uting to the mastery of the competence of “critical thinking”, as well as experimental verification.
Preparation of Test Tasks on Disciplines of Geometry-Graphic Cycle
Authors:   Orenburg State University, Semagina Yulia V. , Vanchinova Maria A. ,   Gubkin Russian State University of Oil and Gas
Published: October 2024

The article examines the issues of improving the quality of geometry-graphic training in technical areas of uni-versities under the constraints of limited classroom time. The application of testing to control the quality of edu-cation is considered. Analysis of existing tasks of this form for disciplines of graphic cycle is carried out. The aim of the study is to offer a method for creating test variations based on memorizing the simplest elements of a drawing. Based on the methodology of teaching hieroglyphic writing, the authors justify the use of closed-type tests for students to memorize the content part of the course of graphic disciplines. Moreover, the article postu-lates the conditions for improving the quality of geometry-graphic training of modern specialists of engineering and technical directions. Theoretical significance of the work consists in comparing the methods of studying the simplest elements of the drawing with the study of hieroglyphs when mastering foreign languages. The practi-cal significance of the work lies in the recommendations on the construction of test tasks in accordance with the proposed methodology.
Existence of positive solutions to impulsive nonlinear differential systems of second order
with two point boundary conditions
Authors:   Laboratory of Mathematics, University of Sidi Bel-Abbes, P.O. Box 89, 22000 Sidi Bel-Abbes, Algeria
e-mail: kadari23halima@gmail.com, Kadari Halima , Oumansour Abderrahmane ,   Laboratory of Mathematics, University of Sidi Bel-Abbes, P.O. Box 89, 22000 Sidi Bel-Abbes, Algeria
e-mail: a_oumansour@yahoo.fr, Graef John R. ,   Department of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403-2504, USA
e-mail: John-Graef@utc.edu, Ouahab Abdelghani ,   Laboratory of Mathematics, University of Sidi Bel-Abbes, P.O. Box 89, 22000 Sidi Bel-Abbes, Algeria
e-mail: agh_ouahab@yahoo.fr
Published: October 2024

Abstract. In this paper the authors consider the existence of positive solutions to a two point boundary value problem for nonlinear second-order impulsive systems. They use a vector version of Krasnosel’skii’s fixed point theorem in cones in their proofs. Examples are provided to illustrate the results.
Mathematics Subject Classification (2010): 47H10, 47H07, 34B18, 34C25.
Keywords: Two point boundary values problems, impulsive problems, Krasnosel’skii’s fixed point theorem, positive solutions.
Analisis faktor keberhasilan implementasi E-Health menggunakan model HOT-fit
Authors: Nurramadhani Latifa , Tambotoh Johan J.C.
Published: October 2024

Perkembangan teknologi informasi telah membawa perubahan yang signifikan pada sektor publik baik di negara maju maupun berkembang. Pada sektor pelayanan kesehatan, terdapat E-Health untuk meningkatkan kualitas pelayanan dalam penyediaan informasi, pendaftaran layanan kesehatan, termasuk resep obat, dan informasi penyakit yang dapat diakses oleh masyarakat melalui perangkat elektronik yang dilengkapi internet. Tujuan penelitian ini adalah untuk mengidentifikasi faktor keberhasilan E-Health sebagai salah satu sistem E-Government yang dianggap berhasil diimplementasikan di Indonesia melalui kepuasan pengguna, untuk memperkuat efektivitas E-Health. Model HOT-fit (Human, Organization, Technology, and fit) yang dimodifikasi dengan enam variabel digunakan dalam penelitian ini bersama dengan metode kuantitatif. Berdasarkan data yang dikumpulkan dari 120 responden dan analisis statistik menggunakan Smart Partial Least Squares 3.2.9, empat dari sembilan hipotesis ditolak. Ini menunjukkan bahwa kualitas informasi dan kualitas layanan berpengaruh positif signifikan terhadap kepuasan pengguna serta manfaat bersih melalui kepuasan pengguna.
Professional and Financial Satisfaction Among Dentists
Authors: Shtereva-Tzouni D. , Mitreva V. , Naseva E.
Published: October 2024

Introduction

Apart from being a mean of making a living and achieving a certain social status, professions may also be considered a calling. The dentist's career is not only a vocation of high social prestige but also one which requires a high level of responsibility, physical and psychological load. Professional satisfaction reflects how meaningful a person finds their vocation, but this is based on the resources that the individual has invested (time for education and skill development, financial resources, effort, etc.). Hence, professional and financial satisfactions constitute complex and multifaceted phenomena. The aim of the study is to analyze the degree of professional and financial satisfaction in dentists as well as to give suggestions suitable for its improvement.

Materials and Methods

An online survey was conducted among 530 participants recruited from the platform Google forms in the first half of 2023.

Results

The general finding of our research is that greater financial satisfaction is reported by women, doctors of higher age, the participants with a longer work experience, the ones who work in their own dental practices and specialists.
Ridge Augmentation Using Autograft and Xenograft Versus Xenograft Alone With Simultaneous Implant Placement: A Randomised Clinical Trial
Authors: Nagaraj A. , Shetty M. , Thomas B. , Hegde R.
Published: October 2024

Aim

To compare the alveolar ridge augmentation using either a 1:1 combination of autograft and bovine graft or bovine graft alone and a slow resorbing collagen membrane with simultaneous placement of implants.

Materials and Methods

24 subjects aged 20-60 years with an atrophic, both vertically and horizontally deficient, edentulous space in the esthetic region of the maxilla were randomly assigned into two groups who underwent guided bone regeneration procedures in conjunction with simultaneous implant placement. Group A received a 1:1 combination of autograft and bovine graft and Group Β received bovine graft alone. Primary closure and a tension-free flap were achieved. The study subjects were recalled after six months to assess the alveolar bone augmentation by means of cone beam computed tomography (CBCT) imaging. The data that was collected was statistically analyzed.

Results

The mean alveolar ridge augmentation as seen at 6 months was observed to be 2.09 mm in the vertical dimension and 0.99 mm in the horizontal dimension, respectively, in the Group A subjects. In Group B, a mean vertical augmentation of 1.73 mm and a mean horizontal augmentation of 2.09 mm, respectively, were observed. The difference in mean vertical bone augmentation between the two groups at 6 months as compared to the baseline was statistically insignificant.

Conclusion

This study demonstrates that alveolar ridge augmentation using a 1:1 combination of autograft and xenograft with immediate implant placement is a viable treatment option for the atrophic esthetic region of the maxilla.
Role of Helicobacter Pylori Eradication Therapy in the Management of Recurrent Aphthous Stomatitis: A Case Report
Authors: Tannishtha  , Hegde S. , Babu G. S. , Ajila V. , Shama B. S.
Published: October 2024

Recurrent aphthous stomatitis (RAS) is one of the most frequently encountered oral mucosal lesions. The RAS is characterized by recurrent painful ulcers, which can be either single or multiple. The prevalence rate of RAS ranges from 5 to 60% among the different ethnic and socio-economic groups. To date, RAS is one of the least understood oral diseases. It causes many problems for the affected individual due to the diverse precipitating factors and recurrent nature. Prompt diagnosis and management of RAS is a challenge factors. Various micro-organisms, including Helicobacter pylori (H. pylori), are believed to be associated with the development of RAS. H. pylori is a microaerophilic, gram-negative bacterium that colonises the gastric mucosa. Very few reports are available in the literature highlighting the association between H. pylori and RAS. Pain relief, fast ulcer healing increased ulcer-free period are the treatment strategies used for RAS. Identifying the causal factors helps the better management of the patients. The present case highlights successful management of the recurrent ulcers followed by H. pylori eradication therapy.
A Quantitative Study on the Effect of Translation and Dissemination of Keywords of Discourse System with Chinese Characteristics through Emerging Technologies in Japan
Authors: Wang Ruxue
Published: October 2024

The research of Chinese and Japanese machine translation technology is of great practical significance for promoting and inheriting Chinese excellent culture and advancing the development of economy, education, and culture in China and Japan. In this paper, a cross-lingual keyword extraction machine translation model is investigated. The traditional model is improved on the basis of recurrent neural networks RNN and attention mechanism, and the problem of low information memory capacity of LSTM and GRU algorithms is optimized. By introducing the self-attention mechanism, important information can be filtered from a large amount of information, and a keyword recognition system can be constructed. The system covers three levels: word embedding layer, encoding layer, and CRF layer, and the model effectively utilizes the feature extraction mechanism of the Transformer model and introduces the bidirectional mechanism to obtain the richer semantic representation of word vectors. After the above strategies, the scores on the task of extracting the keywords of the discourse system with Chinese characteristics reach up to 89 in word inference and 83 in cultural adaptation, which effectively improves the performance of machine translation compared with other neural machine translators. The keyword “community of destiny” appears frequently in Japanese media reports, and the content involves the excellent cultural essence of the discourse system with Chinese characteristics, which has a benign influence on the dissemination process in Japanese society.
Research on the Design and Effectiveness Analysis of Artificial Intelligence-Driven Intelligent Teaching and Assisting System for Civics and Political Science Courses
Authors: Liu Yue
Published: October 2024

The innovative development of the Civics and Political Science class against the backdrop of artificial intelligence represents a relatively new research direction within the academic world. This paper designs a teaching aid system for civics and political science classes based on artificial intelligence technology, with the main functions of accurate teaching intervention and personalized course resource recommendations. We incorporate the reinforcement learning algorithm into the decision-making process for accurate teaching interventions, build a decision-making model for these interventions based on reinforcement learning, and utilize the Q-learning algorithm to model the decision-making model’s data. Construct the Civics and Politics course resource network, update the keyword weights of the learning interest nodes, mine the interest features, and complete the personalized recommendation of the Civics and Politics course resources in colleges and universities based on collaborative filtering. We apply the system of this paper to the practice of teaching civics and politics to 50 first-year students majoring in ideology and politics at University D. After the practice, the students achieved an overall assessment score of 88.76, a 6.25 improvement over their pre-practice score, and demonstrated improved behavior and civics learning outcomes in the “excellent learners” and “potential learners” categories. The average satisfaction levels in the four aspects of system design, application effect, function evaluation, and function implementation effect are 4.625, 4.635, 4.627, and 4.647, respectively, with a high level of satisfaction.
Calculation of Power Purchase Imbalance Costs for Grid Enterprises’ Agents Considering Uncertainty of Supply and Demand and Price Fluctuations in the Context of Beijing-Tianjin-Tangshan Unified Spot
Authors: Hu Yuou , Han Liang , Xu Naijun , Zhang Jing , Cui Fubo , Liu Jing
Published: October 2024

The regional unified electricity spot market plays an important role in promoting the optimal allocation of power resources over a wider range and cross-regional consumption of renewable energy. This paper examines the supply and demand uncertainty and price volatility of power grid agency power purchases in the context of the Beijing-Tianjin-Tangshan unified spot purchase. It delves into the specific mechanism of unbalanced costs in agency power purchase decisions and investigates the specific channeling methods of unbalanced costs in the dual-track system. Based on the dual-track unbalanced cost under the unified spot market, a dual-track power balance model is proposed based on the typical daily load curve, and a time-based unbalanced cost calculation model is designed. Using the typical daily electricity load data from the power supply enterprise in X province as an example, the calculation and simulation of unbalanced costs are carried out. The spot electricity price fluctuates between 0.25 yuan/(kW•h) and 0.45 yuan/(kW•h) in different periods. The overall unbalanced power purchased by the power grid in the load trough stage is only 6.24% of the total monthly electricity consumption. Still, the unbalanced cost in the study period is of a deficit nature, and its average value reaches −268 million yuan. The calculation method of unbalanced costs caused by agency power purchases clearly reveals the unbalanced cost-sharing mechanism in the context of the unified spot.
Diversity and Inclusion Management in Human Resource Management - Based on Marginal Utility Perspective
Authors: Liu Song
Published: October 2024

This paper optimizes human resource management from the perspective of marginal utility. The utility function proposes the subtraction function of consumption, which represents the law of diminishing marginal utility. The Lagrange multiplier method solves the maximum utility problem. In human resource management, utility and marginal utility are redefined, and the probability density function and distribution function of exponential distribution are used as the index’s marginal utility and utility functions, respectively. Human resource management optimization models I and II were constructed based on the marginal utility, and the models and model parameters were solved. This paper applies the human resource management model to Company R as an example. The calculation shows that the total investment of the current index resources of Company R is 2.55 million yuan, and the total utility calculation is 0.8306. Under the optimization of human resource management based on Model I, the expected value of company R reached 0.8631 while maintaining the unchanged index resource input, an increase of 3.91%. The optimization based on Model II resulted in the index resource input being 2.3285 million yuan, with an unchanged total utility that was reduced by 8.69%.
Effect of Environmental, Social, and Governance System Guided by Wireless Communication Network on Enterprise Investment
Authors: Qin Hongjun , Zhang Bowen , Wang Liao
Published: October 2024

Objective

in the context of the rapid development of wireless communication networks, it explores the relationship between environmental, social, and governance (ESG) scores and corporate financing technical efficiency (TE).

Methods

A-share listed companies are the research object, and the ESG scores of A-share listed companies from 2020 to 2022 are screened. ESG scores are the explanatory variable, and the marketization process (Market) is the moderating variable. Leverage level (LEV), company size (SIZE), return on assets (ROA), growth ability (Growth), Tobin’s q (TBQ), and return on equity (ROE) as control variables, the fixed effect model is adopted for empirical analysis.

Results

TE: mean 1.386, median 1.062; ESG: mean 5.31, median 5.03; SIZE: mean 10.823, the maximum value 14.302, and the minimum value 7.694. The correlation coefficient (CC) between TE and ESG is 0.096 (P < 0.05). The CC between Growth and SIZE is −0.041 (P < 0.1); the CC between LEV and TE is −0.131 (P < 0.05). By adding the Market, the adjusted R2 of the model is 0.767, and the CC between ESG and TE is −0.215. The CC between ESG and TE of state-owned enterprises is 0.156 (P < 0.01); the CC between ESG and TE in non-state-owned enterprises is 0.347 (P < 0.01).

Conclusion

in short, the higher the ESG score is, the higher the TE of the enterprise is. Adjusting the Market can affect the TE of enterprises; state-owned enterprises have weaker financing ability.
Optimization and Integration of Student Work Management Mechanism in Colleges and Universities Based on Deep Neural Networks
Authors: Xu Huaizhi , Wang Dong
Published: October 2024

Under the new situation, student management work in colleges and universities must keep pace with the development of information technology, take the initiative to comply with the laws of the new era, innovate work concepts, revolutionize work methods, and make full use of the new era technology to improve the level of management services. After integrating and optimizing the management mechanism of student work in colleges and universities, the study establishes a deep neural network-based student management work effect assessment model in colleges and universities using cluster analysis and convolutional neural network and takes 20 colleges and universities in city A as examples to conduct empirical analysis. The results show that the fit of the CNN neural network model is relatively good, and the total R value is 0.99634, R
2 = 0.98324, R
2 is greater than 0.75. The student work management mechanism has been optimized and integrated by 13 colleges and universities, and their scores are all above 80 points. Among them, there are 5 colleges and universities whose evaluation results exceed 90 points. The construction of their student management cadres, the construction of student self-government capacity, the construction of school spirit and academic style, the work of campus security and stability, and the campus cultural activities have achieved better optimization results.
Research on real-time scheduling optimization technology of power system based on deep learning
Authors: Lu Min , Jiang Yicheng , Wang Jin , Zhu Jianping
Published: October 2024

In the context of the increasingly severe world climate form, how to rationally arrange and dispatch energy has become an urgent need. This paper proposes a deep learning-based power system scheduling model based on the concept of perfect scheduling, using GRU to learn scheduling data. A different training set is constructed to train the model according to the load characteristics at different moments, and the model is updated in real time based on the data at the current moment. The analysis of the algorithms reveals that the scheduling error rate of this model ranges from −-3% to 2%, and the average RMSE of the scheduling scheme is 2.72, placing it in close proximity to the optimal scheduling strategy. Due to a 6.5% reduction in scheduling cost compared to the average cost of the two analyzed algorithms, the average time reduction is 76.3%. The scheduling optimization model proposed in this paper exhibits excellent performance.