bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of Basketball Players' Mental Training and Courage Levels and Their Perception of Struggle and Threat in Sports
Authors: DALĞALI Veysel , TUTAL Varol
Published: January 2025

The purpose of this research; The aim of this study is to examine the mental training and courage levels of basketball players and their perception of struggle and threat in sports. The research included 202 males (70.1%) (Mean age=22.92±4.18) and 86 females studying at the Faculties of Sports Sciences and Schools of Physical Education and Sports of universities located in the Eastern and Southeastern Anatolia regions and playing in basketball clubs. A total of 288 competitive basketball players (29.9%) (Mean age=21.85±2.75) participated voluntarily. The research was designed in relational screening model. The research was designed using the relational screening model. The personal information form created by the researchers as a data collection tool within the scope of the research was developed by Behnke et al. (2019) and the revision of the Turkish inventory was conducted by Yarayan and İlhan (2018). The mental training inventory was developed by Rossato, Uphill, Swain, and Coleman (2018). The struggle and threat scale in sports adapted to Turkish by Türkyılmaz and Altıntaş (2020) and the courage scale developed by Konter and Johan (2012) were used. In the analysis of the data, first the skewness and kurtosis values were examined for normality assumptions, and it was determined that the distribution was normal. In this regard, t-test was used to compare two independent groups, One Way Anova test was used to compare more than two independent groups, and Pearson correlation analysis was used to determine the relationships between variables.When the findings obtained within the scope of the research were examined, statistically significant relationships were determined between the mental training level of basketball players and their courage, struggle and threat level. Based on these results, it has been determined that as the level of mental training increases, the level of courage, struggle and threat will also increase. However, when the statistical analyzes for demographic variables within the scope of the research are examined; It was not determined that the variables of gender, level of sportsman ship and years of doing sports created a significant difference between the groups. In conclusion, It has been determined that the value of mental training cannot be denied in sports that require intense physical and mental effort, such as basketball, and it is though that the mental strength of athletes can make them more resilient not only physically but also emotionally and psychologically.Keywords: Basketball, Courage Level, Mental Training, Struggle, Threat Perception.
Konsekwencje procesowe nieopłacenia wniosku o uzasadnienie w k.p.c.
Authors: Skuczyński Maciej
Published: January 2025

Content of an article 328 § 4 of the Polish Code of civil procedure, which was introduced by an amendment to the Code of civil procedure of 4 July 2019 raises essential doubts as to whether an unpaid motion for written statement of reasons of judgment (or decision) should be dismissed on formal grounds, or whether it is obligatory to call a party (or his attorney) to make up the fiscal deficit within a prescribed period. A scope of the issue significantly concerns a right of access to a court, therefore an interpretation of this statutory law shall specifically take into account established constitutional and international standards. The author raises these issues and comes to a conclusion that procedural consequences of filing an unpaid motion for written statement of reasons depends on a status of applicant – for an attorney at law it shall be dismissal of the motion. Meanwhile in a case when applicant is a regular party, then a presiding judge shall call him to pay the fee due within a prescribed period.
Roszczenie o wynagrodzenie za bezumowne korzystanie z rzeczy lub prawa za okres poprzedzający zasiedzenie własności rzeczy lub służebności (art.224, 225 k.c.).
Authors: Jantowski Leszek
Published: January 2025

The article takes a position on the issue which raises doubts in the doctrine and jurisprudence, whether the former owner of a thing, in particular real estate, may be entitled to a claim against the possessor of the thing for remuneration for non-contractual use of it (Articles 224, 225 of the Civil Code) for the period preceding the acquisition by this owner of the property by usucaption. Various positions and arguments have been presented, which on the one hand support the view that such a claim is entitled, and on the other hand, that there are no grounds for recognizing the legitimacy of this claim. A resolution of this dispute was proposed and arguments were presented that would support the recognition of the validity of the first of the above-mentioned views.
Postanowienie o umorzeniu postępowania przygotowawczego z uwagi na niewykrycie sprawcy przestępstwa w kontekście wznowienia postępowania administracyjnego na podstawie art. 145 § 1 pkt 1 k.p.a.
Authors: Jaśkowiec Michał
Published: January 2025

This paper discusses the possibility of reopening the administrative proceedings pursuant to Article 145 par. 1 item 1 of the Code of Administrative Proceedings in connection with the decision on the discontinuation of the preliminary proceedings in the criminal case due to the failure to identify the perpetrator pursuant to Article 322 par. 1 of the Code of Penal Proceedings. This paper concisely presentsthe essence of reopening the administrative proceedings because of declaring the evidence – on the basis of which the factual circumstances relevant to the case were established – as false, elaborating on the notion of evidence and relevance of such circumstances, as well as the procedural significance of the aforementioned decision on the discontinuation of the preliminary proceedings. Furthermore, this paper analyses the judicial decision of the WSA (Voivodeship Administrative Court) and NSA (Supreme Administrative Court) concerning the recognition of the said decision on discontinuation as a decision of another body, confirming the falsification of the evidence.
System dozoru elektronicznego w prawie karnym wykonawczym Rzeczypospolitej Polskiej
Authors: Stepek Patrycja
Published: January 2025

The subject of this article is the issue of electronic surveillance, which is more and more often used in Polish executive criminal law. It is a good institution both for the Polish prison system, because it significantly reduces the population of prisons, and on the other hand, also for convicts, because thanks to the electronic monitoring system, they can serve their sentences at liberty without losing contact with their families. The paper discusses the history of the institution, legal regulations, statistics, as well as the most important advantages and disadvantages of the electronic surveillance system.
Perspektywy zastosowania sztucznej inteligencji i potencjał technik multimedialnych w kształceniu kadr wymiaru sprawiedliwości
Authors: Szklanny Krzysztof
Published: January 2025

This article described practical applications of multimedia techniques based on artificial intelligence (AI) solutions. Their scope includes generative technologies, i.e. creating text, images, and 360-degree panoramas. IT terms such as corpus language model are defined, which will facilitate understanding of how AI algorithms work. The article shows how these technologies can be used in judicial training. The European Judicial Training Network organized the first-ever training using VR (Virtual Reality in Judicial Training) technology. The training involved creating a presentation using 360° panoramas with artificial intelligence. The article also describes an example of cooperation between two universities – the National School of Judiciary and Public Prosecution and the Polish-Japanese Academy of Information Technology – in which students of the Faculty of New Media Arts prepared virtual tours. The prepared materials can be used in the education of judicial personnel. The advantages and disadvantages of existing solutions are discussed using specific examples. The article presents one of the tools developed as part of the CLARIN project. Common Language Resources & Technology Infrastructure) is a pan-European scientific infrastructure that allows researchers in the humanities and social sciences to work comfortably with large collections of texts. Aspects of practical applications with concrete examples are presented to implement them into everyday work in judicial education.
Czy obowiązujący kodeks karny nadąża za algorytmami sztucznej inteligencji?
Authors: Szkiłądź Filip Jerzy
Published: January 2025

The purpose of this study is to answer the title question, i.e. to what extent the existing provisions of the Criminal Code are sufficient, in the absence of other provisions, in the case of the use of an artificial intelligence algorithm to commit a criminal act or the occurrence of damage. The above problem has not been the direct subject of other studies. It should only be pointed out that the literature points to possible proposals where, if necessary, selected regulations of the Criminal Code can be used. Nevertheless, the dynamically changing legal situation of artificial intelligence suggests that it would be necessary to adapt the regulations to the current position of the system and its use. It should be emphasized that the application of regulations that are outdated and ultimately created for other crimes is unjustified and would conflict with the basic principles of substantive and procedural criminal law. The research in question is aimed at verifying to what extent the current provisions of the Criminal Code can be used effectively, as well as to what extent the current regulations provide the opportunity to effectively attribute responsibility to the relevant entity. At the same time, it should be emphasized that a negative answer to the current questions will prove that it is reasonable to immediately undertake an effort to create separate regulations, or additional provisions that will meet current legislative needs. The wide field of activity of the artificial intelligence algorithm justifies the statement that appropriate regulations are necessary to ensure that this fascinating system is used safely and in accordance with the letter of the law.
Glosa aprobująca do postanowienia Sądu Najwyższego z dnia 6 lipca 2022 r., III KK 177/22
Authors: Kluza Jan
Published: January 2025

The gloss concerns the recent judgment of the Supreme Court in case III KK 177/22, in which the issue of the possibility of issuing a penalty order using Art. 37a § 1 penal code. The Supreme Court confirmed the existing jurisprudence allowing for such a possibility. This position should be accepted because the changes made in 2020 in the application of Art. 37a of the Penal Code do not change the nature of this provision, which constitutes the statutory penalty.
Krisis Moral dan Etika di Kalangan Generasi Muda Indonesia dalam Perspektif Profesi Guru
Authors: Aisyah Nasya’a Nadyah , Fitriatin Nur
Published: January 2025

Artikel ini membahas krisis moral dan etika di kalangan generasi muda Indonesia dalam perspektif profesi guru. Krisis moral dan etika menjadi isu serius di kalangan generasi muda Indonesia, yang ditandai dengan perilaku seperti tawuran, perundungan, dan degradasi nilai-nilai sosial. Penelitian ini bertujuan untuk memahami faktor-faktor penyebab utama krisis moral, termasuk dampak globalisasi, media sosial, dan kurangnya peran orang tua serta pendidikan karakter di sekolah. Penelitian ini menggunakan metode studi pustaka (library research) untuk menganalisis literatur terkait. Tahapan penelitian dilaksanakan dengan menghimpun sumber kepustakaan, baik primer maupun sekunder. Penelitian ini melakukan klasifikasi data berdasarkan formula penelitian Hasilnya menunjukkan bahwa guru memiliki peran penting dalam mendidik moral dan etika siswa, baik melalui pembelajaran berbasis nilai, menjadi teladan, maupun menciptakan lingkungan pendidikan yang inklusif. Namun, tantangan seperti rendahnya minat siswa, pengaruh negatif teknologi, dan keterbatasan sumber daya pendidikan menjadi hambatan utama. Dengan demikian, artikel ini menekankan pentingnya peran guru untuk membentuk karakter siswa dalam mengatasi krisis moral dan etika saat ini.
Pengaruh Kepemimpinan, Disiplin, dan Motivasi Kerja Terhadap Kinerja Karyawan Pada Dinas Tenaga Kerja dan Transmigrasi Daerah Istimewa Yogyakarta
Authors: Damayanti Shafira , Widarta W.
Published: January 2025

Penelitian ini menganalisis pengaruh kepemimpinan, disiplin, dan motivasi kerja terhadap kinerja karyawan di Dinas Tenaga Kerja dan Transmigrasi Daerah Istimewa Yogyakarta. Metode yang digunakan adalah survei kuantitatif dengan kuesioner, dan analisis data dilakukan menggunakan regresi linier berganda. Hasil penelitian menunjukkan bahwa kepemimpinan, disiplin, dan motivasi kerja berpengaruh secara bersama-sama dan signifikan terhadap kinerja karyawan. Kepemimpinan, disiplin dan motivasi kerja memiliki pengaruh positif yang kuat. Temuan ini diharapkan menjadi masukan bagi peningkatan kinerja karyawan di sektor pemerintahan.
Community service: Improve English language skills with TOEFL training
Authors: Wirawan I Gede Nika , Atmaja I Gusti Bagus Agung Kusuma , Suryasa I Wayan , Meitridwiastiti Anak Agung Ayu
Published: January 2025

This TOEFL English language training aims to improve the English language skills of community service participants whose activities are carried out on the Nursing Department campus. TOEFL English training has a very important role because mastering TOEFL well will make it easier for us to find work or apply for scholarships that require an official TOEFL certificate. This TOEFL English training aims to improve the abilities of community service participants so that by mastering the TOEFL, it will be easier for community service participants to find work. The method used in this community service report is Communicative Language Teaching in Secondary Level, which is the teaching method used in TOEFL English training. TOEFL English training is training held by the English Language Study Program at Bali Dwipa University which aims to improve the abilities of community service participants. TOEFL English training was carried out offline before the pandemic to get better learning results. These community service participants seemed very enthusiastic and active in taking part in TOEFL English learning which consisted of listening, structure and written expression, and reading training. Some TOEFL English training topics include listening, reading, and written and structured expression.
Improvement of quality indicators of winter wheat grain thanks to leaf feeding
Authors:   Karshi Institute of Irrigation and Agricultural Technologies, Abduazimov А.М. , Vafoeva М.В. ,   Karshi Institute of Irrigation and Agricultural Technologies
Published: January 2025

In recent years, wheat has been grown on 221 million hectares of land around the world, and the total yield is 769 million tons as a result of modern intensive technologies. Foliar feeding of wheat with various components of macroand microelements, along with the saving of basic mineral fertilizers applied to the soil, increases the efficiency of their assimilation by the plant, increases yield and improves grain quality. In our experiment, we studied the effect of the timing
and rates of foliar application of winter soft wheat on the technological quality of the plant. Although the highest indicator was observed when there was a high agrophone and top dressing in each phase of the growing season, it was found that the optimal level can be achieved for all of the above indicators with a single top dressing of leaves before the appearance of flag leaves, with a 2-fold decrease in mineral fertilizers. The practical results of the work are that in conditions of light gray soils when fertilizing for winter wheat in the amount of 50% (NPK 90:45:30 kg/ha) of the amount of traditional norms (NPK 180:90:60 kg/ha), as well as when using liquid suspension preparations enriched with macro- and microelements of various components, the effect of saving mineral fertilizers, increasing the yield and quality of grain was determined. Feeding winter wheat with suspensions of various components during the autumn tillering phase, during the formation of the flag leaf and after heading had a positive effect on the natural grain weight (42.9; 43.7; 36.8 g/l) and the amount of protein in the grain (1.2; 1.2; 1.1%) in comparison with the control.
Features of modern «Smart Home» systems
Authors:   Agrarian-Technical University of West Kazakhstan University named after Zhangir Khan, Kasymova A.K. , Sailau A.M. ,   Agrarian-Technical University of West Kazakhstan University named after Zhangir Khan
Published: January 2025

Any set of smart home electronics is a high-tech equipment designed for automated and wide centralized control, flexible, precise management of apartment systems and home communications. Smart home understands specific situations that occur in a building and is properly responsible for them using
pre-developed algorithms. At the same time, a person with one team specifies the desired environment, and automation determines and controls the operation mode of all engineering systems and electrical equipment in accordance with external and internal conditions.
Gas turbines and Their Different Uses
Authors: Tang Junmou
Published: January 2025

The structure of the gas turbine and how it is used in a closed cycle will be explained in this paper; the principles of the universal gas turbine will be specified by means of a specific piece of machinery, the Titan 130; there are a number of ways to improve the thermal efficiency of the gas turbine, and in this paper three specific solutions will be proposed. Due to the immense significance of the gas turbine for mankind, two significant applications of the gas turbine will be elucidated, namely the combined cycle and microgeneration technology. Furthermore, the performance of the gas turbine in the compressor, combustion chamber, and turbine will be demonstrated through equations, and the significant factors in the combined cycle will be exemplified. Finally, the concept of the microturbine will be described, as well as the changes it will undergo in the future and the problems it is facing now.
Research on Mobile Robot Path Planning Based on the Weighted A* Algorithm
Authors: Teng Zexiu
Published: January 2025

The path planning problem is crucial in different areas like autonomous navigation and so on and has a wide range of applications. The A* algorithm is a classic way to solve the path planning problem, able to give the optimal path within a relatively short period. However, in some situations, the A* algorithm requires a long time to find the solution. In the weighted A* algorithm, a weight factor w is introduced to enlarge the role of heuristic estimation in the algorithm, allowing a faster searching process while giving back a path of acceptable length. In the experiment, the weighted A* algorithm was run multiple times under different values of w in two different maps to evaluate the influence of w on the final result and the algorithm’s performance in different conditions. It was found that with a weight factor > 1, generally, the path length became longer, and computational time became quicker. The research illustrates the influence of the value of w in the weighted A* algorithm, allowing people to adjust the value of w that well meets their demands.
Analysis on the Two Core Technologies of Current Intelligent Driving
Authors: Wei Xiao
Published: January 2025

With the development of the automobile industry, intelligent driving will become the mainstream, it is an important embodiment of China's development, at the same time, it is also an important embodiment of the liberation of automobile productivity, which marks a major reform in the automobile industry. Intelligent driving this advanced technology in the vehicle identification technology and image processing technology will pass the road condition to the driving computer, positioning technology lists the vehicle position, speed and other information, the two complement each other, and promote the safe operation of the vehicle. This paper will analyze the core elements of intelligent driving from the two aspects of vehicle identification technology and positioning technology, and scientifically present the advanced, convenient, safe and reliable features of intelligent driving.
Innovative Application and Development Trend of BIM in Construction Engineering
Authors: Yu Haoran
Published: January 2025

Building Information Modeling (BIM) has fundamentally altered management, construction, and design of buildings. Two sections of this work address technological uses and future development of BIM. The first section examines how different computer technologies—Artificial Intelligence (AI), Machine Learning (ML), Big Data, Cloud Computing, and so on—can solve the shortcomings of conventional BIM in real-time construction progress reflection and data management, so enhancing construction efficiency and production. The second section addresses the new technological challenges and social demands confronting BIM, including the requirements of smart city construction and sustainable development concepts for environmental monitoring, energy management and multi-disciplinary collaboration, as well as the digital transformation of the construction industry for data interoperability, user experience and security. By means of thorough investigation of the application and future evolution of BIM technology, this article seeks to offer reference for the building sector and hence support BIM in a more general spectrum of application situations.
Description and Optimization of Gas Turbine Generator Sets
Authors: Zhang Xifan
Published: January 2025

Form this article, the author mainly interprets the principle and composition of gas turbine generator set, as well as discusses how to improve efficiency and treat exhaust gases, which including compressor interstage waste heat utilization for power generation, auxiliary catalytic technology and gas-steam turbine combined cycle. Taking the Rankine cycle based on compressor interstage waste heat as an example, it discusses how to recover and utilize the compressor interstage waste heat; through the analysis of the waste heat recovery system, it is concluded that the auxiliary catalytic technology plays an vital role in the operation of internal combustion engines; the analysis of the principle of the gas turbine combined cycle and the comparison of two kinds of combined cycles result in the conclusion that the gas-steam turbine combined cycle is a highly efficient and feasible means of optimizing the efficiency of the system. After exploring the three aspects, the author of this essay has finally come up with three reliable paths for optimizing gas turbine generator sets.
Benign Acute Childhood Myositis associated with Influenza Virus Infection: A Case Series in Zawia Teaching Hospital
Authors: Mufida Khetresh  , Nasreen Alarosi  , Kheria Almamori
Published: January 2025

Benign acute myositis of childhood is a disorder of childhood, typically affecting boys. Symptoms include calf pain and difficulty walking after a prodromal viral upper respiratory illness. We report four cases of benign acute childhood myositis BACM in children diagnosed at Zawia Teaching Hospital had the typical clinical and laboratory characteristics of this clinical syndrome. Prompt diagnosis of this clinical disease essential to prevent unnecessary investigations and therapeutic interventions and to reassure the patient and parents of the excellent prognosis. The real time polymerase chain reaction test (RT-PCR) was used to detect influenza viruses from respiratory sample in all of them. Influenza B was determined in 3 patients (75%), and influenza A in 1 patient (25%). The Mean age was 7.25 years (4-11) and all of them were male and Urine analysis was not request for myoglobinuria. Influenza viruses, particularly H1N1 variants, can induce BACM and other types of muscular diseases. The Correct diagnosis by recognition of characteristic clinical, laboratory features of BACM and history of the preceding viral illness, as outlined in our case series provides cost effective and appropriate approach for diagnosis and prevent unnecessary treatment and diagnostic procedures. It is important to recognize BACM as self-limiting condition which could however be mistaken for a more aggressive disease.
Penyusunan anggaran dan pendekatan berbasis kinerja
Authors: Anggerwati Andi Indah , Jusnia Jusnia , Lukman Siti Diva Syarifah
Published: January 2025

Penelitian ini bertujuan untuk mengetahui proses penyusunan anggaran berbasis kinerja di satuan kerja Politeknik Negeri Ujung Pandang. Metode penelitian yang digunakan dalam penelitian ini yaitu metode kualitatif dengan menggunakan rancangan penelitian deskriptif pendekatan sistematis. Penelitian deskriptif bertujuan untuk memperoleh informasi-informasi mengenai keadaan saat ini, dan melihat kaitan antara variabel-variabel yang ada mengenai Evaluasi Anggaran Berbasis Kinerja di Politeknik Negeri Ujung Pandang. Partisipan dalam penelitian ini terdiri dari pihak kampus Politeknik Negeri Ujung Pandang yang terdiri dari Pembinaan Kemahasiswaan, Pengelolaan Sumber Daya, dan Pelayanan. Pengumpulan data dilakukan melalui wawancara mendalam dan observasi langsung terhadap proses yang terjadi. Hasil penelitian menunjukkan bahwa Politeknik Negeri Ujung Pandang dikatakan telah menerapkan bentuk sederhana dari penganggaran berbasis kinerja (performance based budgeting) dan membuat anggaran berdasarkan skala prioritas serta telah menetapkan indikator kinerja untuk mengukur hasil dari pengeluaran anggaran yang dilakukan dan menggunakan indikator tersebut dalam proses atau mekanisme penyusunan anggaran jadi dapat dikatakan praktek-praktek yang dilakukan dalam penyusunan anggaran berbasis kinerja di Politeknik Negeri Ujung Pandang telah sesuai dengan peraturan-peraturan yang ada.
Analisis penerapan model beneish m-score dalam mendeteksi manipulasi laporan keuangan pada koperasi: studi literatur
Authors: Sari Claudia Mayang , Lawa Oktavia Rilista , Ea Emiliana To , Yefriyanto Yosep , Fende Erwinsia , Bhisa Selviana Nayu
Published: January 2025

Penelitian ini bertujuan untuk mengevaluasi relevansi dan keterbatasan model Beneish M-Score dalam mendeteksi manipulasi laporan keuangan pada koperasi. Melalui studi literatur, penelitian ini menganalisis sejauh mana model yang dirancang untuk perusahaan komersial dapat diadaptasi untuk mengakomodasi karakteristik unik koperasi. Selain itu, penelitian ini juga mengidentifikasi faktor-faktor yang dapat mempengaruhi kinerja model Beneish M-Score dalam konteks koperasi, seperti ukuran koperasi, jenis usaha, dan tingkat transparansi. Hasil penelitian diharapkan dapat memberikan pemahaman yang lebih baik mengenai potensi dan tantangan dalam menerapkan model Beneish M-Score pada koperasi.
Pengaruh Stres Kerja Dan Kompensasi Terhadap Kinerja Karyawan Pada PT. Karya Sawitindo Mas
Authors: Zusmawati Zusmawati , Putri Siska Nela
Published: January 2025

Sumber daya manusia (SDM) merupakan faktor terpenting dalam usaha pencapaian keberhasilan organisasi. Tujuan penelitian ini Untuk menguji apakah stres kerja dan kompensasi berpengaruh terhadap kinerja karyawan pada PT. Karya Sawitindo Mas Tanjung Alai. Jenis penelitian ini menggunakan Pendekatan kuantitatif. Penelitian ini dilakukan pada PT. Karya Sawitindo Mas yang beralamat di Tanjung Alai, Kec. XIV Koto, Kab.Mukomuko, Prov.Bengkulu. Teknik analisis data penelitian ini adalah menggunakan SPSS. Penentuan sampel pada penelitian menggunakan metode Total Sampling. Sampel penelitian ini sebesar 110 orang. Hasil penelitian menyatakan bahwa stress kerja dan kompensasi berpengaruh positif dan signifikan terhadap kinerja karyawan.
Analisis Dampak Iklan Berbayar di Facebook dan Instagram Terhadap Peningkatan Penjualan UMKM
Authors: Hasibuan Midrawati Hasibuan
Published: January 2025

Penelitian ini bertujuan untuk menganalisis pengaruh iklan berbayar di Facebook dan Instagram terhadap peningkatan penjualan UMKM di Kabupaten Labuhanbatu, Sumatera Utara. Dengan menggunakan pendekatan kuantitatif dan metode survei, data diperoleh melalui kuesioner yang dibagikan kepada 50 pelaku UMKM serta data sekunder berupa laporan penjualan sebelum dan sesudah penggunaan iklan. Analisis dilakukan menggunakan metode statistik, meliputi analisis deskriptif, regresi linier berganda, uji hipotesis, dan pengujian asumsi klasik. Hasil penelitian menunjukkan bahwa iklan berbayar di Facebook dan Instagram memiliki pengaruh positif dan signifikan terhadap peningkatan penjualan UMKM, dengan kontribusi variabel sebesar 68% (Adjusted R²). Iklan Instagram memiliki dampak yang lebih besar dibandingkan Facebook, sebagaimana ditunjukkan oleh nilai koefisien regresi masing-masing sebesar 0,723 dan 0,642. Preferensi penggunaan Instagram dikaitkan dengan keunggulan visual yang menarik untuk sektor seperti kuliner dan fashion, sementara Facebook lebih efektif untuk penargetan demografi lokal. Temuan ini menegaskan bahwa strategi pemasaran digital melalui iklan berbayar merupakan alat yang efektif dalam meningkatkan daya saing UMKM, terutama jika kedua platform digunakan secara bersamaan untuk mengoptimalkan jangkauan audiens.
An efficient method for solving Schlömilch-type integral equations
Authors: Altürk Ahmet
Published: January 2025

Schlömilch integral equations have many applications in terrestrial physics and serve as useful tools for various ionospheric problems. Recently, researchers have investigated Schlömilch-type integral equations. Unlike Schlömilch integral equations, there are only a few works in the literature that discuss the classification and solution methods for Schlömilch -type equations. In this study, we mainly focus on introducing an efficient method based on a modified homotopy approach for solving certain Schlömilch-type equations. To demonstrate the efficiency and simplicity of the proposed algorithm, we also present some extensions that enable the solution of important application-related problems.
Selection of third-party logistics provider based on extended multimoora technique under double hierarchy linguistic single-valued neutrosophic set
Authors: Qadir Abbas , Ali Khan Muhammad , Nawaz Marya
Published: January 2025

The demand for third-party logistics (3PL) providers becomes an increasingly important issue for corporations seeking improved customer service and cost reduction. Currently, there is no way to select the appropriate method for selecting 3PL. Therefore, this paper develops a new extended multi-objective optimization ratio analysis plus full multiplicative form (MULTIMOORA) method under double hierarchy linguistic single-valued neutrosophic sets (DHLSVNSs). For this, we first develop a new mathematical tool, i.e., DHLSVNSs, by studying single-valued neutrosophic set (SVN) and double hierarchy linguistic term set (DHLTSs), which is very effective for solving uncertainty in decision-making problems. A list of Einstein aggregation operators and their fundamental aspects for DHLSVNSs are presented based on Einstein's norms, as aggregation operators play an essential role in decision-making. A step-by-step algorithm of the Extended DHLSVN-MULTIMOORA approach is designed to tackle ambiguous and uncertain data during decision-making problems. The algorithm developed for the suggested technique is illustrated with a numerical example relevant to 3PL. A comparison of the proposed methods with various existing methodologies is carried out to demonstrate the superiority of the suggested algorithms.
Soft difference-product: A new product for soft sets with its decision-making
Authors: Sezgin Aslıhan , Çam Nazlı Helin
Published: January 2025

A thorough mathematical foundation for handling uncertainty is provided by the concept of soft sets. Soft set operations are key concepts in soft set theory since they offer novel approaches to problems requiring parametric data. The “soft difference-product” a new product operation for soft sets, is proposed in this study along with all of its algebraic properties concerning different types of soft equalities and subsets. Additionally, we explore the connections between this product and other soft set operations by investigating the distributions of soft difference-product over other soft set operations. Using the uni-int operator and the uni-int decision function for the soft-difference product, we apply the uni-int decision-making method, which selects a set of optimal elements from the alternatives by giving an example that shows how the approach may be conducted effectively in various areas. Since the theoretical underpinnings of soft computing techniques are drawn from purely mathematical concepts, this study is crucial to the literature on soft sets.
Youth exposure to disinformation in social media platforms
Authors: Md. Nazim  , Hasan Md. Nazmul , Parul Razia Sultana , Mostafa Mohammad Golam , Ahmed Md. Anik
Published: January 2025

Purpose: This study examines how young people experience disinformation and the role of librarians in helping them combat it by developing media and information literacy skills.
Method: The study employed a mixed-method approach, combining quantitative data from 188 young people's opinions and qualitative insights from 17 experienced librarians working with youth in academic libraries.
Findings: The study highlights the prevalence of confirmation bias, the tendency to share information, and the impact of source credibility. It underscores the importance of promoting critical thinking skills to combat misinformation on social media platforms. Librarians play a crucial role in this effort by advocating for media literacy and encouraging critical thinking among users.
Implication: The study can help design digital literacy programs, media literacy campaigns, and measures by media organizations and policymakers to address mis and disinformation, promote critical thinking, and enhance information quality on social media. Library professionals can lead CoPs to combat social media disinformation through collaboration and media literacy training, especially for library users.
Dinga Dinga Disease Uncovered: A Call to Act Fast Against Uganda's Puzzling Health Crisis.
Authors: Tensaba Andes Akafa  , Dr. Kingsley Iyoko Iseko
Published: January 2025

In early 2023, Uganda reported a novel illness known as "Dinga Dinga Disease" (DDD), characterized mainly by uncontrollable body tremors, primarily affecting women and girls in the Bundibugyo district. This exploratory article examines the disease's symptoms, epidemiology, and potential causes, drawing parallels to the historical "Dancing Plague" of 1518. DDD presents with excessive shaking, high fever, extreme weakness, and feelings of paralysis, severely impacting mobility and daily activities, yet it remains self-limiting with no reported fatalities. The article highlights the urgent need for a clear case definition to facilitate effective surveillance and public health interventions amidst other concurrent health crises in Uganda, including outbreaks of mpox and a mysterious "Disease X" in the neighboring Democratic Republic of the Congo. Community impact is profound, with significant social and economic challenges arising from the disease's incapacitating effects. Ongoing investigations by local health authorities, supported by [12], aim to uncover the etiology of DDD and implement necessary public health measures. The need for collaborative efforts in research, resource allocation, and community engagement is emphasized to address this emerging health threat and safeguard vulnerable populations.
Optimalisasi BUMDes di Indonesia melalui srategi digitalisasi, penguatan modal sosial, tata kelola keuangan, dan peran pemerintah desa
Authors: Firmansyah Amrie
Published: January 2025

Penelitian ini bertujuan untuk mengeksplorasi tantangan dan solusi dalam pengelolaan BUMDes dengan fokus pada empat kategori utam yaitu digitalisasi, modal sosial, tata kelola keuangan, dan peran pemerintah desa. Metode scoping review digunakan untuk menganalisis 19 artikel yang relevan, mengidentifikasi berbagai isu yang dihadapi oleh BUMDes, dan memberikan rekomendasi kebijakan yang relevan. Hasil penelitian menunjukkan bahwa adopsi teknologi digital secara umum di BUMDes secara umum masih rendah yang disebabkan oleh keterbatasan literasi digital dan infrastruktur di daerah pedesaan. Modal sosial yang kuat, seperti kepercayaan dan norma lokal, berperan penting dalam meningkatkan kerjasama antar pengelola BUMDes dan masyarakat. Namun, banyak desa hanya memiliki modal sosial pada tahap bonding, yang membatasi potensi kolaborasi dengan pihak eksternal. Tata kelola keuangan yang baik juga menjadi kunci keberhasilan BUMDes. BUMDes yang menerapkan sistem akuntansi yang transparan dan memiliki Standard Operating Procedures (SOP) yang jelas cenderung lebih mampu menjaga keberlanjutan usaha. Peran aktif pemerintah desa sebagai fasilitator dan pengawas sangat signifikan dalam memastikan efektivitas pengelolaan BUMDes. Penelitian ini merekomendasikan peningkatan literasi digital dan keterampilan manajerial bagi pengelola BUMDes melalui program pelatihan yang sistematis dan berkelanjutan. Intansi Pemerintah pembina BUMDES diharapkan dapat mendukung pengembangan infrastruktur dan kolaborasi antar pemangku kepentingan dalam pengelolaan BUMDes.
Perkembangan pemidanaan anak yang berhadapan dengan hukum di Indonesia
Authors: Kabes Irianto , Widjajanti Ermania
Published: January 2025

Jaksa Penuntut Umum (JPU) pada Kejaksaan Negeri Palembang menuntut IS yang berusia 16 Tahun dengan tuntutan hukuman mati akibat perbuatan pelaku yang didakwa kasus penganiayaan dan pemerkosaan anak yang mengakibatkan kematian korban AA, Tuntutan Jaksa tersebut di tentang oleh berbagai kalangan civil society dan dianggap melanggar undang-undang, menurut data dari Direktorat Jenderal Pemasyarakatan Kementerian Hukum dan Hak Asasi Manusia menunjukkan tren peningkatan pada periode 2020 hingga 2023. Per 26 Agustus 2023, tercatat hampir 2.000 anak berkonflik dengan hukum. Sebanyak 1.467 anak di antaranya berstatus tahanan dan masih menjalani proses peradilan, sementara 526 anak sedang menjalani hukuman sebagai narapidana, Jika berdasarkan data tersebut sebagian anak yang berkonflik dengan hukum akan diancam dengan hukuman mati, tentu hal tersebut sangat mengkuatirkan, karena tujuan pemidanaan anak adalah Terwujudnya peradilan yang benar-benar menjamin perlindungan kepentingan terbaik bagi anak yang berhadapan dengan hukum sebagai penerus bangsa. Penelitian ini bertujuan untuk melihat perkembangan pemidanaan anak yang berhadapan dengan hukum, Penelitian dilaksanakan melalui metode penelitian hukum normatif, memanfaatkan data sekunder untuk menganalisis secara kualitatif dan  menyimpulkan yang akan terjadi dengan menggunakan akal deduktif, hasil penelitian menujukan  Pemidanaan mati sangat dihindari dalam kasus anak yang berhadapan dengan hukum di Indonesia. KUHP mengatur bahwa anak-anak yang diancam dengan pidana mati atau seumur hidup hanya dapat dijatuhi pidana penjara maksimal 15 tahun. Setelah Indonesia meratifikasi Convention on the Rights of the Child (CRC) melalui SPPA, pendekatan pemidanaan terhadap anak semakin bergeser dari pidana penjara ke pidana peringatan dan anak berhak untuk tidak dijatuhkan pidana atau pidana sumur hidup yang dimana ketentuan ini juga diakomodasi dalam KUHP Nasional yang baru disahkan. Jaksa penuntut umum yang menuntut IS berusia 16 Tahun dengan tuntutan hukuman mati jika dikaji dari Teori Legal System yakni Substansi Hukum (Legal Substance) merupakan salah satu bentuk pelanggaran peraturan perundang-undangan, Struktur Hukum (legal structure) aparat penegak hukum yang menangani anak seharusnya memenuhi kualifikasi khusus dan dari Budaya Hukum (legal structure) faktor masyarakat yang kurang memahami kesadaran dalam penegakan hukum yang berkaitan dengan pengetahuan hukum, pemahaman, sikap dan prilaku masyarakat dan Diperlukan peraturan yang bersinergi agar tujuan pemidanaan dapat benar-benar menjamin perlindungan kepentingan terbaik bagi anak yang berhadapan dengan hukum, sebagai bagian dari generasi penerus bangsa.
State-owned or state-owed? Evaluating divestment returns from PT Vale Indonesia Tbk
Authors: Daulay Anggi Anugerah , Qadri Resi Ariyasa
Published: January 2025

This study endeavors to predict and elucidate the prospective returns on governmental investments in the divestment shares of PT Vale Indonesia Tbk. Financial data were collated through the documentation technique, leveraging annual reports from the company.The financial information was subsequently analyzed employing a quantitative methodology— specifically, the discounted cash flow model—to ascertain the intrinsic value of the firm. The findings indicate that the intrinsic value of PT Vale Indonesia Tbk. surpasses its market price on the stock exchange, suggesting that the investment by the Indonesian government is poised to yield capital gains. However, the potential for dividend earnings appears limited due to the company's inconsistent history of dividend distribution. Thisresearch contributes to the enhancement of governmental investment strategies in divestment shares and provide valuationrecommendations for PT Mineral Industri Indonesia, which has been designated by the Government of Indonesia to acquire shares in PT Vale Indonesia Tbk.
Hybrid Model for DDOS Attack Detection and Covid-19 Classification
Authors:   Electronics and Communication Engineering Institute of Aeronautical Engineering Hyderabad, India, Sree K. Nishitha , Praleen Rufus , Naveen B. , Kumar G. Kiran
Published: January 2025

The COVID-19 pandemic has significantly impacted public INDEX  TERMS:  Chest  X-ray  image  classification, health and economies worldwide. The integration of the convolutional neural networks, feistel block cipher, grey-wolf Internet of Things (IOT) with medical technology, known as optimization, Internet of Medical Things, hybrid ResNet50

the Internet of Medical Things (IOMT), has facilitated

advances like rapid diagnosis, remote monitoring, and more efficient healthcare delivery. However, the security, privacy,

and integrity of IOMT-generated medical data remain a critical challenge. Current systems are particularly vulnerable to cyber-attacks, such as Distributed Denial of Service (DDOS) attacks, which can disrupt medical services. To address these concerns, a new IOMT-based COVID-19 detection and classification system, named ICDC-Net, is proposed for smart healthcare applications. This system incorporates an Optimized Feistel Block Cipher (OFBC) for encryption to secure COVID-19-related medical data, particularly chest X-ray images, ensuring robust data protection. The OFBC algorithm is optimized using a hybrid approach combining the Gray Wolf Optimizer and Particle Swarm Optimization (HGWO-PSO), providing both encryption and effective DDOS attack detection and prevention. Additionally, the HGWO-PSO method is employed to extract features from chest X-rays, aiding in the detection of specific diseases. For disease classification, a deep learning model, Residual Network50 (ResNet50), is used to identify conditions like COVID-19, pneumonia, and other common lung diseases. Testing and simulations demonstrate that ICDC-Net enhances
PRIVACY PRESERVING DATA SHARING CLOUD-BASED HEALTHCARE SYSTEMS
Authors:   DR.MGR UNIVERSITY, prasanna, G. Laxmi
Published: January 2025

The integration of cloud computing into healthcare systems has revolutionized data management by enabling seamless data sharing and enhanced accessibility, thereby improving patient outcomes and operational efficiency. However, the sensitive nature of healthcare data necessitates robust privacy-preserving mechanisms to protect patient confidentiality. This paper explores state-of-the-art techniques such as cryptography, data anonymization, and secure access control, which are tailored to address privacy challenges in healthcare environments. It also critically evaluates existing frameworks, identifying limitations, and proposes a scalable architecture designed to ensure secure and efficient data sharing.

Healthcare systems increasingly rely on cloud environments for storing and sharing sensitive patient data. However, these systems face significant challenges, including the risk of data breaches, unauthorized access, and the need for strict compliance with regulatory frameworks such as HIPAA and GDPR. To address these challenges, this paper presents a privacy-preserving framework that leverages advanced cryptographic methods, blockchain for secure transaction logging, and machine learning-based anomaly detection to safeguard patient data from collection to sharing. Experimental results demonstrate that the proposed system outperforms traditional methods in terms of privacy, efficiency, and scalability, showcasing its potential for real-world healthcare applications.

The integration of cloud computing into healthcare systems has significantly transformed how patient data is managed and shared across multiple stakeholders, including healthcare providers, insurers, and researchers. This digital transformation has enabled real-time access to medical records, improving clinical decision-making and patient outcomes. However, the sensitive nature of healthcare data demands the adoption of advanced privacy-preserving techniques to mitigate risks such as unauthorized access, data breaches, and regulatory non-compliance. In this paper, we explore state-of-the-art technologies like cryptographic techniques (homomorphic encryption, differential privacy), data anonymization (k-anonymity, l-diversity), and access control mechanisms (RBAC, ABAC) that have been proposed to enhance data privacy and security. Additionally, we delve into the use of blockchain technology for secure, transparent transaction logging and machine learning-based anomaly detection systems to safeguard against unauthorized access. Through experimental analysis and performance testing, we demonstrate that the proposed privacy-preserving framework outperforms conventional methods in terms of scalability, efficiency, and data protection, thereby offering a promising solution for real-world healthcare applications.
Advances in Radiation Therapy: A Comprehensive Review of Techniques and Clinical Applications in Cancer Treatment
Authors:   Institute of applied science, Mangalayatan University, Beswan, Aligarh, Kumar Rajhans , Kumar Santosh , . Singh Y.P
Published: January 2025

Cancer treatment has witnessed remarkable advancements, particularly in radiotherapy, which continues to evolve with innovative techniques that enhance precision, efficacy, and patient outcomes. This review explores the fundamentals and comparative benefits of modern radiotherapy approaches, including 3D Conformal Radiation Therapy (3DCRT), Intensity-Modulated Radiation Therapy (IMRT), and Volumetric Modulated Arc Therapy (VMAT). It provides an in-depth examination of their clinical applications, efficacy in targeting tumors while sparing critical organs, and integration with other oncological modalities. A synthesis of recent studies underscores their impact on diverse cancer types, emphasizing tailored treatment planning and the ongoing pursuit of improved therapeutic outcomes
PERSONAL AI TRAINER FOR VISUALLY IMPAIRED PEOPLE
Authors:   tudent, Dept. Of Computer Science and Engineering  AMC Engineering College, Bengaluru, Karnataka, India, Ravi Shree Sooktha , H S Vaishnavi , Abid Syed , S Dr. Nirmala
Published: January 2025

This Personal AI Trainer empowers visually impaired individuals, enhancing digital literacy and independence through AI-driven natural language processing and machine learning algorithms, providing an accessible, voice-controlled interface, customized learning, real-time feedback, and comprehensive digital skills training, promoting inclusive design and assistive technology.

Keywords: Visually Impaired, Personal AI Trainer, Digital Literacy, Accessibility, Natural Language Processing, Machine Learning, Adaptive Technology, Assistive Technology, Inclusive Design.