bluuebunny/crossref_metadata_2025 huggingface dataset:
A violência do submundo da cibercultura e o simulacro publicitário
Authors: Magossi Priscila
Published: October 2024

O presente artigo dedica-se a apreensão sobre o modo pelo qual o submundo da cibercultura (o oligopólio de sites de pornografia, webcamming e packs eróticos) encobre a violência contra a mulher por meio do simulacro publicitário nas redes interativas. A argumentação contempla a reflexão crítica sobre o contrassenso estabelecido entre a publicidade empresarial (que anuncia a vítima como protagonista do empoderamento feminino) e o contrato de prestação de serviços (que aprisiona a mulher ao proprietário invisível por meio da autorização vitalícia da sua imagem para circulação em qualquer site erótico da rede).
On quantitative assessment of chirality: right-sided and left-sided geometric objects
Authors: Kriksin Yu. A. , Tishkin V. F.
Published: October 2024

Two methods for quantitatively assessing the chirality of a set are considered, the first of which uses the calculation of the area of their symmetric difference of two sets as a measure of the discrepancy between them, and the second uses the Hausdorff distance between them. It is shown that these methods, generally speaking, do not provide a correct quantitative estimate for a fairly wide class of sets, such as bounded Borel sets. Using the example of flat triangles and convex quadrangles, the problem of dividing geometric objects into right-handed and left-handed is considered. For triangles, level lines of two versions of the chirality measure were calculated on the plane of the angular parameters. For a spatial spiral, the values of two versions of the chirality index are found, based respectively on the calculation of the mixed product of vectors and the Hausdorff distance between two sets.
Graph Condensation for Large Factor Models
Authors: Chetverushkin B. N. , Sudakov V. A. , Titov Yu. P.
Published: October 2024

The paper proposes an original method for processing large factor models based on graph condensation using machine learning models and artificial neural networks. The proposed mathematical apparatus can be used in problems of planning and managing complex organizational and technical systems, in optimizing large socio-economic objects on the scale of state sectors, to solve problems of preserving the health of the nation (searching for compatibility when taking medications, optimizing resource provision for healthcare).
Stability of solutions to the logistic equation with delay, diffusion and nonclassical boundary conditions
Authors: Kashchenko I. S. , Kashchenko S. A. , Maslenikov I. N.
Published: October 2024

The work is devoted to the logistic equation with delay and diffusion with non-classical boundary conditions. The stability of a nontrivial equilibrium state is investigated, and the resulting bifurcations are studied numerically.
Methods for observing an object moving in under conditions of its opposition
Authors: Berdyshev V. I.
Published: October 2024

We propose ways of action of the observer f when tracking an object t moving in R3 along the shortest trajectory T enveloping the setGi of convex sets. The object has velocity mini-objects that pose a hazard to the observer. The means of observation depend on the geometric properties of the setsGi and the trajectory T. The observer's task – to track the motion of the object over as much of the trajectory T as possible.
caso Shamima Begum no Reino Unido e o direito humano à nacionalidade à luz da Convenção das Nações Unidas de 1961 para a redução dos casos de apatridia
Authors: Osaki Rafaela Claudino
Published: October 2024

O objeto deste estudo é o caso Shamima Begum no Reino Unido, que tornou-se apátrida após a destituição da sua nacionalidade britânica. Perante o dilema dos “extremistas de retorno” que tentam regressar à Europa após a queda do Estado Islâmico na Síria, questiona-se o viés punitivo e a legalidade da medida. Para tanto, serão analisadas as modificações à Lei da Nacionalidade Britânica de 1981 após os julgamentos Hamza (2003) e Al-Jedda (2014). Continuamente, a temática será avaliada através de casos paradigmáticos no Tribunal Europeu de Direitos Humanos. Desta feita, almeja-se defender o direito à nacionalidade à luz da Convenção da ONU de 1961 para a Redução dos Casos de Apatridia, que constitui uma “hard law” à legislação doméstica. Como resultado, tem-se a prevalência dos direitos humanos sobre a soberania e segurança nacional, pois o caso Begum inaugurou um precedente perigoso referente à destituição da nacionalidade originária no contexto do contraterrorismo.
Closed loop battery current controlled zeta converter for improved power quality in electric vehicle charging stations
Authors: Sugunakar Mamidala  , Pavan Kumar Y. V.
Published: October 2024

To encourage an eco-friendly environment and pollution-free transportation, most of the automobile industries are promoting electric vehicles. However, with the adoption of electric vehicles, various power quality problems are encountered mainly during vehicle battery charging. Thus, this research work focuses on power quality improvement in electric vehicle battery charging stations. In this article, a closed-loop battery current-controlled zeta converter with a PI controller is introduced to achieve quality power to charge electric vehicles. The proposed converter enhances the overall performance of the system by reducing voltage fluctuations, harmonic content, and frequency variations. Besides, this suggested closed-loop battery-controlled zeta converter improves the power factor and overall efficiency of the system. The converter provides a wide range of output with ripple-free current. In the proposed scheme, the vehicle battery current feedback to the PI controller generates the switching pulses, thereby generating the desired duty ratio to operate the converter to maintain a constant current. The entire system is implemented in MATLAB/Simulink and various power quality parameters namely voltage and current characteristics, active and reactive power characteristics, frequency, total harmonic distortion (THD), power factor, and efficiency are measured. To validate the usefulness of the proposed scheme, it is compared with conventional buck converter-based charging station and conventional zeta converter-based charging station. From the results, it is found that the proposed closed-loop battery current-controlled zeta converters charging station produce improved power quality characteristics over conventional methods. It achieved a voltage THD of 4.93%, current THD of 1.9%, power factor of 0.96, and efficiency of 91.8%, which are far better than the conventional buck and zeta models.
On the Work of the General Agreement on Trade and Tariffs (GATT)
Authors: Šulc Jaroslav
Published: October 2024

GATT is the oldest post-war institution charged with regulating some multilateral norms of international trade. Czechoslovakia is interested in this organization because of the high degree of its participation in international division of labour. The per capita share of foreign trade turnover in Czechoslovakia exceeded already in 1963 the world average three times. Basically, GATT is a multilateral general trade agreement by which the contracting parties mutually obligate themselves to observe agreed rules in their trade relations; in particular, that they grant each other the most favored nation clause in tariffs and other regulations pertaining to imports and exports. Within the framework of GATT, several custom tariff conferences were held since 1947.
Navigating the Future of Chemistry: Priorities and Opportunities for Sustainable Innovation (review)
Authors: Kartal Ozan
Published: October 2024

The essay explores the shifting landscape of energy and chemical production, focusing on the growing emphasis on sustainability over the last decade. It highlights key research areas that have gained substantial attention, such as biorefineries, solar energy conversion, energy storage materials, and carbon dioxide utilization. The authors stress the need for innovative solutions in catalysis, process design, and the use of alternative raw materials and energy sources. They advocate for a more comprehensive view of sustainability, considering both economic and socio-environmental factors, and encourage a forward-looking approach to address future trends and challenges. This analysis aims to motivate researchers and industry players to pursue new technologies and methods that will drive a more sustainable future in the fields of chemistry and energy.
Perturbing and Oblateness's Impact on the Generalized Photogravitational Restricted Three-Body Problem
Authors: Mahesh Kumar  , Avdhesh Kumar
Published: October 2024

In this research work, the effects of perturbing and oblateness on the generalised photogravitational restricted three body problem (RTBP) are examined when the primary are regarded as radiation sources and oblate spheroid. The perturbing forces were included in the equations of motion that we developed for the system. The triangular libration points were derived in terms of the perturbing parameters using linear approximations, and their influence was seen. Applying Murray's criteria, we determined that the triangular libration points remained unstable due to the nature of the characteristics equation matching to the variational equations of motion of the system generated.
Effect of Volleyball Small Side Games on Body Mass Index and Physiological Conditions on Pre Pubertal Children
Authors: Hari Hari Pamungkas , Kurniawan Farid Tri , Budijanto Budijanto , Mardikaningsih Agusti , Agyanur Shoffurijal
Published: October 2024

This study aims to determine effect volleyball small side games (SSG) on body mass index (BMI) and physiological conditions in prepubescent children. The method used The Randomized Pretest-Posttest Group Design with a sample of 20 subjects. Research subjects determined based on inclusion and exclusion criteria and divided into experimental and control groups. Experimental group was given SSG volleyball intervention and control group without treatment. BMI measured by the formula BMI and Blood taken 24 hours before the exercise intervention and 24 hours after the intervention. To determine the physiological condition of the subject, the variables used were blood glucose and hemoglobin. SSG volleyball was carried out for 8 weeks with 3x intervention in 1 week. The results of BMI and serum data were analyzed with SPSS 25 with paired sample t-test and independent t-test. The results of this study from an independent t-test between the experimental group and the control group showed a variable value of BMI with a p-value of 0.016 (P<0.05),blood glucose p-value of 0.000 (P<0.05) and a hemoglobin p-value 0.007 (P<0.05). Results this study can be concluded a significant influence of volleyball SSG intervention on changes body mass index and physiological conditions of prepubertal children.
ANALISIS DAN PENGEMBANGAN SISTEM INFORMASI ABSENSI DENGAN MENGGUNAKAN METODE FACE RECOGNITION HISTOGRAM OF ORIENTED GRADIENTS DAN METODE LOCATION BASE SYSTEM HAVERSINE FORMULA PADA PT. FILLAH GROUP.
Authors: Delima Siti Ratu , Cholil Widya
Published: October 2024

Dimasa pandemi sekarang ini mengharuskan karyawan untuk berjaga jarak, perusahaan PT. Fillah Group membangun sistem aplikasi absensi wajah dengan menggunakan Smartphone. PT. Fillah ingin mengembangkan sistem aplikasi absensi wajah yang dahulunya masih Mengunakan absensi tanpa wajah. Human Resources Department yang memiliki peran dalam sumber daya manusia, harus memiliki strategi dalam membangun loyalitas karyawan. dapat membantu dalam proses HRD melakukan menginput data kehadiran karyawan dengan mudah dan langsung tersambung data ke website, serta sangat membantu karyawan dalam melakukan absensi kehadiran, pulang, izin saat sedang absensi kehadiran dikantor, maupun karyawan tenaga kerja lapangan tidak lagi perlu lagi melakukan absensi menggunakan sidik jari, membantu untuk kedisiplinan karyawan. Metode yang digunakan adalah Histogram of Oriented Gradients yaitu face recognition sebagai solusi untuk membantu mengatasi masalah absensi, melakukan pengenalan citra wajah karyawan. Dengan menggunakan metode haversine formula untuk mengetahui lokasi dalam sistem navigasi dan layanan ini menggunakan teknologi GPS serta mengaktifkan GPS di smartphone untuk mendeteksi titik lokasi. Sistem aplikasi “diharapkan dapat digunakan sebagai salah satu alternatif kehadiran karyawan di PT. Fillah Group yang lebih baik.
RANCANG BANGUN TEMPAT SAMPAH OTOMATIS BERBASIS MIKROKONTROLER ARDUINO UNO DENGAN SENSOR HC-SR04
Authors: Rohmah Roihatur , Lian Putri
Published: October 2024

Waste is the most common problem in everyday life. Waste that is scattered and piled up can become a hotbed of disease, especially during the current Covid-19 pandemic. In this study purpose to design and build a trash can works automatically. The method in design and build an automatic trash can is using waterfall method. The trash can designed using Arduino Uno microcontroller, HC-SR04 sensor and SG90 servo motor. The automatic trash can works is to detect the distance then processed by the arduino microcontroller and so SG90 servo motor will move to open and close the trash can automatically. The result of this research is that the design of the trash can can be opened with an object distance of less than 50 cm and will close for pause of 5 seconds.
PROTOTYPE SISTEM MONITORING PARKIR PINTAR BERBASIS IOT (IINTERNET OF THINGS
Authors: Wulandari Cindi , Wijayanti Dede , Lestari Novi , Daulay Nelly Khairani
Published: October 2024

Parkir merupakan tempat pemberhentian kendaraan baik roda dua maupun roda empat yang bisa bersifat sementara maupun jangka panjang tergantung kebutuah dari pengguna. Tatanan letak parkir kendaraan juga berpengaruh kepada laju kendaraan yang akan keluar atau masuk. Adapun tujuan dari penelitian ini untuk menciptakan sebuah sitem yang dapat membantu pengguna dalam hal ini Dosen, Mahasiswa dan tamu yang berkunjung ke Universitas Bina Insan dapat menemukan lahan parkir kosong dengan cepat dan mudah. Dengan memanfaatkan teknologi IoT (Internet of Things) dan metode Prototype, nantinya penelitian dapat memberi kemudahan dalam mencari lahan parkir kosong sehingga ketertiban kedaraan yang berada dilahan parkir dan yang keluar atau masuk di universitas Bina Insan berjalan dengan baik. Hasil dari penelitian adalah snsor ultrasonic yang terpasang dapat memberiakn data secara realtime ke website bahwa lahan parkir kosong atau penuh dan data tersbut akan di tampilkan di monitor.
UNJUK KERJA KOMBINASI METODE BASE64 ALGORITMA VIGNERE CHIPER DAN RAILFENCE CHIPER DALAM PENGAMANAN DATA VIDEO
Authors: Syahputra Zulfahmi , Supiyandi Supiyandi
Published: October 2024

Video files are information in the form of Video, Information becomes very vulnerable to be known, retrieved or even manipulated and misused by other parties who are not entitled. In this research combines the classic algorithm vigenere cipher with modren algorithm that is Railfance algorithm in securing video files, with the system built then every video file uploaded into the system will be translated into binary code with base64 technique which is plaintext and then will be encrypted with vigenere cipher algorithm and continued encryption using railfance algorithm and produce video file that can not be played , so Video files are considered damaged, when not. For decryption and vice versa video files that can not be played dupload into the system will be translated into binary code with base64 technique which is plaintext and then decrypted with railfance algorithm and continued decryption using vigenere cipher algorithm and produce video files that can be played.
Key Word : video File, Base64, Algoritma Vigenere Cipher, Algoritma Railfance
ANALISIS KEAMANAN SERVER DIGITAL LIBRARY DARI AKTIVITAS CYBER CRIME MENGGUNAKAN METODE OPEN WEB APPLICATION SECURITY PROJECT
Authors: Caniago Koko , Sutabri Tata
Published: October 2024

Analysis of Digital Library Server Security from Cybercrime Activities Using the Open Web Application Security Project Method at Bina Insan University Lubuklinggau, where this title was raised due to problems with the Bina Insan University Digital Library server security system which had been hacked by hackers so I am the thesis writer. feel the need to conduct research on the security of the Digital Library server at Bina Insan Lubuklinggau University to see security holes in the Digital Library server so that this security gap can later be closed and resolved so that cybercrime on the Digital Library server does not happen again. In analyzing the security of the Bina Insan University Digital Library server, I as a researcher use the Open Web Application Security Project method, where the Open Web Application Security Project method that I use is the Open Web Application Security Project Top 10 which is a guide that can be used to see weaknesses on the website server. which are easy to attack so with this guide we can also overcome the weaknesses that are owned by the website server itself so that it will be stronger to prevent cybercrime.
PERBANDINGAN POSISI KAPAL MENGGUNAKAN DVB STICK USB DARI DATA AIS TERHADAP MARINETRAFFIC
Authors: Oklilas Ahmad Fali , Alharits Muhammad Farhan
Published: October 2024

Automatic Identification System atau biasa disebut AIS merupakan sebuah sistem yang terdapat di kapal dengan tujuan untuk mengirim atau menerima suatu informasi secara elektronik dan otomatis tentang data kapal. AIS dapat diterima menggunakan berbagai macam penerima AIS, salah satunya adalah DVB Stick USB. DVB (Digital Video Broadcasting) Stick USB merupakan suatu alat penerima siaran TV digital yang berbentuk kecil dengan berfungsi sebagai penala frekuensi TV digital di area sekitar penerima. Data posisi dapat diterima oleh DVB Stick USB dan kemudian akan dicari tingkat keakurasiannya dengan membandingkan data posisi dari MarineTraffic. Sehingga dari total 29 posisi kapal yang didapatkan, maka rerata perbedaan jaraknya sebesar 3,72 meter dengan rata-rata tingkat akurasi yang didapatkan adalah 99,9966%, dengan tingkat akurasi terendah 99,9916% dan tingkat akurasi tertinggi sebesar 100%.
ROBOTICS AND ARTIFICIAL INTELLIGENCE: SAFETY MEASURES AND POTENTIAL THREATS
Authors: Tsymbal B.
Published: October 2024

The article considers the application of robotics and artificial intelligence in everyday life and at work. Existing research has shown that industrial and domestic robot design and operational characteristics can threaten human life and health and serve as safety measures. At the same time, modern collaborative robots share the same workspace as humans. The study found that, depending on the nature of the origin, it is possible to divide robotics hazards into the following types: mechanical, which can arise from an unintentional or unexpected action or when changing tools; contact with dangerous energy sources that can lead to electric shock when touching connections, current-carrying parts, or an electric arc flash; thermal, which arise from contact with hot or cold surfaces; noise, radiation, chemicals, infections, and other hazards. Many robot-related accidents do not occur during operation but often during the design, installation, and testing process when workers first encounter the robot. The causes of robotics-related injuries include the human factor, poor safety culture, and the robot’s operational and design characteristics. Isolation from a professional service robot is ineffective when a person has to work in the robot’s area of operation or at the same workplace. The physical safety of robots and humans in shared spaces includes the following categories: safety assessment and the concept of human-robot interaction; contact safety due to robot design; passive interoperable systems, lightweight manipulators, safe actuators, and passive robotic systems. Every collaborative robot system is unique, so risk assessment is crucial for safe and successful implementation. Existing methods for assessing occupational risks of robots mainly consider ergonomic risks and can only be applied at the design stage. Some existing machines and measuring arms have a control system that monitors the workspace. If something foreign appears in the work area, the machine slows down and resumes high measurement speeds automatically.
Keywords: safety culture, safety measures, industrial work, occupational risk assessment.
ANALYSIS OF THE DEVELOPMENT OF GONDOLA CAR BODY STRUCTURES
Authors: Martynov I. , Trufanova A. , Shovkun V. , Lytovchenko O. , Dmytrenko M. , Balashov O.
Published: October 2024

The article is devoted to the analysis of promising directions for the development of gondola car body structures. It considers the history of the emergence of gondola cars as a separate type of railway rolling stock. The authors systemise the design of gondola cars and discuss the advantages and disadvantages of various designs.
The study has shown that the manufacture of the two-axle gondola cars began in the second half of the 19th century. They were designed mainly for transporting coal and iron ore, with their bodies made of wood. Further design improvement led to the appearance of four-axle gondola cars with increased load capacity. Rolled metal began to be used in body structures to improve strength.
Particular attention in the article goes to analysing the results of innovative design and technological solutions intended to enhance the efficiency and reliability of body structures. The research indicates that attempts to replace steel with aluminium alloys in manufacturing bodies did not yield results. The reason is the high cost of aluminium and the labour-intensive manufacturing. A promising direction is the use of low-alloy steels 10KhSND and 10KhNDP.
For many years, there has been a trend in the railcar-building industry toward producing higher-load gondola cars. It requires increasing the axle load to 25 tons. However, implementing such cars necessitates a substantial restructuring of the railway infrastructure.
We consider the design features of innovative domestic gondola cars in detail. The latest technical solutions for the body frame, efficient materials, and components with improved performance have doubled the overhaul mileage.
The article analyses the North American experience of gondola car construction and operation. It shows that some models of American gondola cars use longitudinal cylindrical boxes to increase the body volume and reduce the car’s centre of mass. They are on both sides of the girder beam and occupy the space between the carts. Aluminium alloys are also widely used: the frame and lower part of the body are steel, and the side and end walls are aluminium alloy.
Keywords: gondola car, body, girder beam, pivot beam, side walls, hatch cover, reliability.
Design and Development of Electrical Go Kart
Authors: Madavan Sanjay Kumar , Low Alex Kai Jie , Zheng Cheng , Lew Kai Liang
Published: October 2024

This study explores the complex process of designing, developing, and building an electric go-kart with a focus on performance and sustainability. Using a multidisciplinary methodology, the research maximizes the vehicle's efficiency and environmental friendliness by integrating the principles of mechanical engineering, electrical engineering, and sustainable design. The study assesses many design factors, including motor power, battery capacity, and chassis materials, to find an ideal balance between performance and environmental impact through methodical experimentation and analysis. In order to improve the kart's energy economy and agility, the project also investigates cutting-edge technologies including lightweight composite materials and regenerative braking systems. The results of this study offer significant contributions to the subject of sustainable transportation, as well as to the development of electric car technology. Through the demonstration of the viability and efficiency of electric go-karts in comparison to their conventional gasoline-powered equivalents, this study highlights the significance of adopting renewable energy solutions within the automotive sector. In the end, the journal clarifies how electric go-karts can transform both competitive and recreational racing, making a strong argument for the broad use of clean energy technology in the quest for a more sustainable and environmentally friendly future.
Susceptibility Inference and Response on Transmission Dynamics of Ebola Virus in Fuzzy Environment
Authors: Saravanan Subraja , Murugappan Mullai , Rajchakit Grienggrai , Govindan Vetrivel , R Surya
Published: October 2024

This article uses fuzzy parameters to develop a susceptibility inference and response (SIR) model for the Ebola virus. The construction of the SIR model involves considering several aspects, including immunization, therapy, compliance with medical protocols, and Ebola virus load. The parameters representing the infection, mortality, and recovery rates caused by the Ebola virus are expressed as fuzzy numbers. These parameters are then employed as fuzzy parameters in the model. The study of the model uses the generation matrix approach to get the fundamental reproduction number and assess the stability of the equilibrium point inside the model. The findings from the simulation indicate that the variation in the Ebola virus load is associated with disparities in the transmission patterns of the Ebola virus. Also, we compare the impact of the variables of vaccination and following the medical guidelines in reducing the spread of the Ebola virus. Using Matlab software, the numerical simulation for this model is carried out, and the analysis of Ebola virus transmission is investigated in the fuzzy environment.
The Neutrosophic Economic Order Quantity: Backlogged Shortages and Quality Issues
Authors: R Surya , Murugappan Mullai , Rajchakit Grienggrai , Govindan Vetrivel , Saravanan Subraja
Published: October 2024

This paper investigates an economic order quantity with imperfect qualityitems that are backlogged in the neutrosophic sense.Defuzzification is done by implementingthe signed-distance approach.The objective is to determine the optimal inventory level and optimal backorder quantity that reduces the yearly total cost of the neutrosophic type.Numerical examples are produced to justify the output of the suggested models.
Forecasting PM2.5 Concentrations in Chiang Mai using Machine Learning Models
Authors: Ratchagit Manlika
Published: October 2024

Particulate matter 2.5 poses a significant threat to human life. Over the past decade, there has been a significant increase in the number of articles dedicated to studying and forecasting PM2.5 concentrations. Thailand, particularly Chiang Mai, has elevated levels of dangerous PM2.5 throughout the hot season. The primary objective of this study is to evaluate the efficacy of three widely used machine learning models, namely artificial neural network (ANN), long short-term memory network (LSTM), and convolutional neural network (CNN), in predicting the levels of PM2.5 particles in Chiang Mai. The raw data are obtained from the Pollution Control Department, Ministry of Natural Resources and Environment Thailand between January 2014 and June 2023, a total of 3,468 observations. We split the data into three sets namely, training, validation, and test sets. The criterion to evaluate three machine learning techniques is the median absolute error. The experimental results confirm that all three machine learning models provide similar movements of PM2.5 dust pollution. Moreover, the artificial neural network technique provides better results than the others regarding error measurement.
Human Fall Motion Prediction – A Review
Authors: Candraningtyas Raphon Galuh , Yunus Andi Prademon , Choo Yit Hong
Published: October 2024

Abstract – In predicting human fall motion, focused on enhancing safety and quality of life for the elderly and individuals at risk of falls. By highlighting the critical role of Human Pose Estimation, advancements in human motion forecasting, and fall prediction. It explores the continuous efforts to improve fall detection systems using innovative technologies, such as wearable sensors and IoT devices to implement deep learning models and analyze human poses and gestures. Various methods show promise in accurately predicting human fall motion by capturing complex patterns and relationships in the data. For instance, self-attention mechanisms can revolutionize human motion prediction by effectively capturing these intricate patterns, leading to more accurate predictions. Future research directions should focus on enhancing model accuracy, exploring new techniques for capturing complex patterns, and enabling real-time implementation in wearable devices or smart environments. By addressing these areas, fall detection systems can be significantly improved, benefiting individuals and healthcare systems worldwide.
The Impact of Digital Innovation on Accounting Practices: The Case of Romanian Public Schools
Authors:   Bucharest University of Economic Studies, Bucharest, Romania, Căldăraru Alina-Cristina
Published: October 2024

Today, digitalization has covered all areas of the social system. The introduction of innovative technologies and ERP systems in the accounting field helps significantly increase the efficiency of financial management. At the same time, certain industries, such as public schools in Romania, still do not take full advantage of accounting automation. This article examines the adoption of accounting automation through ERP solutions in university educational institutions in Romania and explores the advantages and obstacles that come with this shift. In this study, a thorough analysis of the data collected through the survey was carried out. A questionnaire with questions was sent to 100 educational colleges in Romania. The questionnaire contained questions aimed at gathering information about the level of automation, the types of technology used, the difficulties faced and the benefits. Institutions of various sizes with various funding sources – from regular to high schools – were chosen for the study. Implementing automated accounting systems in institutions in Romania has shown noticeable benefits, enhancing efficiency and transparency while ensuring accuracy in operations. However, limited financial resources and inadequate digital expertise challenge the adoption of ERP technologies and other sophisticated solutions. The study results show that digitalization levels differ significantly across education levels, with high and secondary schools being the most digitized, while pre-kindergarten and primary schools lag in adoption. Key obstacles include constraints and a shortage of expertise, particularly impacting high school and secondary educational establishments. The research provides recommendations to enhance the digitalization process in Romania's pre-university educational institutions.
Utilisation of electric vehicles and battery energy storage systems for the enhancement of PV hosting capacity in a distribution network
Authors: Esau Zulu , Ryoichi Hara , Hiroyuki Kita
Published: October 2024

To foster decarbonisation of the transportation sector, there is a growing widespread global adoption of electric vehicles (EVs) as a clean, environmentally friendly alternative to fossil-fuel-dependent internal combustion engine vehicles (ICEV). This has required the electrical power system to distribute power to EV charging stations. In addition, battery energy storage systems (BESSs) have also been deployed to improve network resilience. Both EVs and BESSs on distribution networks (DNs) may be charged using photovoltaic (PV) resources. Subsequently, huge numbers of PV plants have been installed globally over the past decade. With excessive PV penetration into the distribution network (DN), the consequences are risks of operational constraint violations such as over-voltages, feeder line congestion, protection maloperation and high harmonics. This requires limiting the amount of installed PV to alleviate these risks. The maximum amount of PV which can be integrated into the DN without violating these network operational limits is the PV hosting capacity (PVHC). This paper proposes models for quantifying the impacts of EVs and BESSs on the PV hosting capacity of DNs using the stochastic particle swarm and gradient descent algorithm (PSO-GD). The simulation results of case studies have shown that the proposed method is accurate, fast, and efficient.
THE EFFECT OF SPIRITUALITY ON DEATH-RELATED DEPRESSION, DEATH ANXIETY, AND LONELINESS AMONG YOUNG ADULTS
Authors: Korkmaz Zafer , Çiçek İlhan , Söğüt Rıdvan
Published: October 2024

There has been a significant increase in research focusing on the healing role of spirituality in recent years. In this context, the purpose of the current study is to examine the effect of spirituality on death-related depression, death anxiety, and loneliness in young adults. A total of 539 young adults, 315 (58.4%) women and 224 (41.6%) men, participated in the study. The participants' ages ranged from 18 to 32 (M = 28.23, SD = 2.63). Personal Information Form, Spirituality Scale, Death Distress, and Loneliness Scale were used in the study. The data of the study were analyzed with SPSS 24. The results of the study show that there is a significant and negative relationship between spirituality and death related depression, death anxiety, and loneliness. The simple linear regression analysis revealed that spirituality explained 7% of the variance in death related depression, 12% of the variance in death anxiety, and 6% of the variance in loneliness. These results can be concluded that spirituality has a protective function against destructive factors such as death related depression, death anxiety, and loneliness. This study once again reveals the importance of carrying out studies to strengthen the spirituality of young adults in particular.
Diagnosis and Treatment for Pityriasis Rosea
Authors: Prayogo Keyko Putri
Published: October 2024

Pitiriasis rosea (PR) merupakan kelainan kulit akut papuloskuamosa yang swasirna. Kejadian PR di seluruh dunia dilaporkan sebanyak 0,3-1,2%. Infeksi human herpes virus (HHV) 6, 7, dan beberapa obat mencetuskan kejadian PR. Gejala klinis diawali dengan lesi primer berupa herald patch, diikuti lesi sekunder berukuran lebih kecil yang tersebar pada garis langer batang tubuh, dapat meluas ke lengan dan paha atas. Klasifikasi PR terbagi menjadi tipikal dan atipikal berdasarkan keberadaan herald patch, lokasi lesi, morfologi lesi, dan perjalan penyakit. Terdapat tiga kriteria untuk mendiagnosis PR, yaitu kriteria esensial, opsional, dan eksklusi. Derajat keparahan PR ditentukan dengan Pityriasis Rosea Severity Score (PRSS). Pemeriksaan dermoskopi dan histopatologi dapat membantu diagnosis. Gambaran dermoskopi berupa background yellow-orange, dull red, dan bright red; warna skuama yellow-white, white, dan white-brown; susunan skuama patchy, peripheral, collarette, diffuse dan central; pola pembuluh darah patchy globular dilatation, punctate dilation of vessels, dotted vessles, dan patchy vessels. Pemeriksaan histopatologi merupakan baku emas. Gambaran yang ditemukan yaitu hiperkeratosis, akantosis iregular, parakeratosis fokal maupun konfluens, spongiosis, ekstravasasi sel darah merah di epidermis, sebukan sel radang limfohistiosit di perivaskular dan dermis superfisial, dilatasi pembuluh darah kapiler papila dermis yang tidak seragam. Berbagai terapi PR adalah antihistamin, kortikosteroid, asiklovir, makrolida, dan narrowband UVB (NB UVB) phototerapy.  Pemberian asiklovir 5x800mg/hari selama 7 hari aman dan efektif dalam mengobati PR fase awal dengan cara meredakan eritema pada lesi lama dan mengurangi jumlah lesi baru.
Tata Laksana Hiperpgmentasi pada Area Lipatan
Authors: Lubis Nabila Adani , Jusuf Nelva Karmila
Published: October 2024

Hiperpigmentasi pada area lipatan merupakan salah satu gangguan pigmentasi kulit yang menyebabkan seseorang melakukan konsultasi dermatologis, karena hiperpigmentasi ini menjadi masalah kosmetik yang mempengaruhi seseorang baik secara emosional maupun psikologis. Beberapa kondisi yang dapat menyebabkan hiperpigmentasi pada area lipatan, seperti hiperpigmentasi pasca inflamasi, acanthosis nigricans, lichen planus pigmentosus, prurigo pigmentosa, gangguan endokrin, dan kondisi lainnya. Tata laksana hiperpigmentasi pada area lipatan memerlukan banyak modalitas dan waktu pengobatan yang berkepanjangan sehingga membutuhkan kesabaran. Tata laksana meliputi tindakan pencegahan, terapi medikal, pengelupasan kimiawi, serta terapi laser. Pencegahan dapat dilakukan dengan menghilangkan kemungkinan penyebab timbulnya hiperpigmentasi. Pengobatan topikal termasuk hidrokuinon (sendiri atau dalam kombinasi dengan agen lain), desonide, retinoid, asam azaleat, asam kojik, arbutin, dan niacinamide. Pengelupasan kimiawi menggunakan asam glikolat, asam salisilat, asam trikloroasetat (TCA), asam laktat, tretinoin, dan resorsinol. Pengobatan berupa terapi laser efektif untuk hiperpigmentasi dengan menunjukkan perbaikan klinis yang bertahan lebih lama. Makalah ini memaparkan tata laksana yang tepat pada hiperpigmentasi area lipatan.
THE OSSETIAN NART SAGAS:
A LOOK THROUGH THE PRISM OF ETHNOPEDAGOGY
Authors: Zarifa Tsallagova B.
Published: October 2024

For many centuries, Ossetian epic sagas about the Narts served as an educational institution for younger generations. From an early age, the spirit, ideals, and aspirations of the people creatively reflected in the epic, penetrated into the heart and mind of children. The prospective value of using the Nart epic as a meaningful foundation for the ethnopedagogization of the educational process in regional educational institutions is especially significant in the current context of globalization and the reduction of cultural diversity. It serves as a crucial instrument of resistance against total Westernization of life and education. In such circumstances, the artistic appeal and comprehensibility of the epic material can stimulate interest in ethnic roots, mythological figures, ethical norms and symbols. Despite the limited representation of national and regional elements in the educational content, it can establish a robust foundation in the children’s cognitive and behavioral patterns. Turning to the Nart epic, a powerful layer of the Ossetian ethnocultural heritage, awakens historical memory and develops a spiritual and moral core of students.
MENTORING AS A PRACTICE OF REPRODUCING ETHNOCULTURAL TRADITIONS (THE CASE OF THE ITELMEN HOLIDAY “ALHALALALAI”)
Authors: Khakhovskaya Liudmila N. 
Published: October 2024

The author examines the modern methods of transmitting ethnocultural traditions associated with the rituals of the annual economic cycle. She discusses this issue by analyzing the case of the Itelmen autumn holiday “Alkhalalalai” celebrated in Kamchatka in recent decades. The main emphasis is placed at the contemporary transformation of the holiday. The main ritual events of “Alkhalalalai” are considered as a process and result of interaction between communities in public space, leading to a specific cultural shift. The author defines this shift as the staging of culture, since it is focused on the spectator and the demonstration of the restored tradition to the audience. The author also analyzes the mechanism of the modern reconstruction of “Alkhalalalai” and shows that the main channel of continuity in the festive ethnic sphere was the institution of mentoring, which developed in our country during the Soviet period. Ethnic mentoring was established as one of results of the formation of the ensemble structures for reproducing the components of folk culture. In folklore ensembles, the artists mastered the basics of ballet choreography; they constantly trained and rehearsed under the guidance of an experienced choreographer, who acted as a mentor. This provided the maximum effect on the audience, and this provoked the process of staging of the ethnic culture. This Soviet folkloric and choreographic heritage is at the root of many contemporary transformations of the ethnic culture, including the reconstructed Kamchatka “Alkhalalalai”.
Study on the effect of phenoxyethanol–citric acid pretreatment for the enzymatic hydrolysis of bamboo residues
Authors: Cheng Yan , Zhao Xiaoxue , Li Ruolin , Liao Jili , Huang Caoxing
Published: October 2024

This study investigated the biphasic phenoxyethanol–citric acid (PECA) pretreatment for bamboo residues (BRs) and its corresponding effects on the enzymatic hydrolysis performance. It is found that increasing the concentration of citric acid in the pretreatment system from 2.5% to 15% greatly enhanced the delignification and xylan removal for BRs. Consequently, the enzymatic hydrolysis yield of pretreated BRs significantly enhanced, increasing from 12.4% to 58.2% and 28.0%72.4% when the concentration of citric acid was increased from 2.5% to 15.0% at 160°C and 170°C, respectively. The characterization results from cellulose crystallinity, accessibility, and hydrophobicity of pretreated bamboo residues indicated that their changes possessed a beneficial performance on the enzymatic hydrolysis yield, which could result from the synergistic removal of lignin and xylan. The Chrastil model analysis showed that pretreatment at higher conditions resulted in the pretreated BRs possessing weaker diffusion resistance for cellulase, which is attributed to its higher enzymatic hydrolysis yield.
Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms
Authors: López Paredes Carlos Roberto , García Cesar , Onyelowe Kennedy C. , Zuniga Rodriguez Maria Gabriela , Gnananandarao Tammineni , Andrade Valle Alexis Ivan , Velasco Nancy , Herrera Morales Greys Carolina
Published: October 2024

Industrial wastes have found great use in the built environment due to the role they play in the sustainable infrastructure development especially in green concrete production. In this research investigation, the impact of wastes from the industry on the compressive strength of concrete incorporating fly ash (FA) and silica fume (SF) as additional components alongside traditional concrete mixes has been studied through the application of machine learning (ML). A green concrete database comprising 330 concrete mix data points has been collected and modelled to estimate the unconfined compressive strength behaviour. Considering the concerning environmental ramifications associated with concrete production and its utilization in construction activities, there is a pressing need to perform predictive model exercise. Furthermore, given the prevalent reliance of concrete production professionals on laboratory experiments, it is imperative to propose smart equations aimed at diminishing this dependency. These equations should be applicable for use in the design, construction, and performance assessment of concrete infrastructure, thereby reflecting the multi-objective nature of this research endeavour. It has been proposed by previous research works that the addition of FA and SF in concrete has a reduction impact on the environmental influence indicators due to reduced cement use. The artificial neural network (ANN) and the M5P models were applied in this exercise to predict the compressive strength of FA- and SF-mixed concrete also considering the impact of water reducing agent in the concrete. A sensitivity analysis was also conducted to determine the impact of the concrete components on the strength of the concrete. At the end, closed-form equations were proposed by the ANN and M5P with performance indices which outperformed previous models conducted on the same database size. The result of the sensitivity analysis showed that FA is most impactful of all the studied components thereby emphasizing the importance of adding industrial wastes in concrete production for improved mechanical properties and reduced carbon footprint in the concrete construction activities. Also, the M5P and ANN models with R2 of 0.99 showed a potential for use as decisive models to predict the compressive strength of FA- and SF-mixed concrete.
A fundus vessel segmentation method based on double skip connections combined with deep supervision
Authors: Liu Qingyou , Zhou Fen , Shen Jianxin , Xu Jianguo , Wan Cheng , Xu Xiangzhong , Yan Zhipeng , Yao Jin
Published: October 2024

Background

Fundus vessel segmentation is vital for diagnosing ophthalmic diseases like central serous chorioretinopathy (CSC), diabetic retinopathy, and glaucoma. Accurate segmentation provides crucial vessel morphology details, aiding the early detection and intervention of ophthalmic diseases. However, current algorithms struggle with fine vessel segmentation and maintaining sensitivity in complex regions. Challenges also stem from imaging variability and poor generalization across multimodal datasets, highlighting the need for more advanced algorithms in clinical practice.

Methods

This paper aims to explore a new vessel segmentation method to alleviate the above problems. We propose a fundus vessel segmentation model based on a combination of double skip connections, deep supervision, and TransUNet, namely DS2TUNet. Initially, the original fundus images are improved through grayscale conversion, normalization, histogram equalization, gamma correction, and other preprocessing techniques. Subsequently, by utilizing the U-Net architecture, the preprocessed fundus images are segmented to obtain the final vessel information. Specifically, the encoder firstly incorporates the ResNetV1 downsampling, dilated convolution downsampling, and Transformer to capture both local and global features, which upgrades its vessel feature extraction ability. Then, the decoder introduces the double skip connections to facilitate upsampling and refine segmentation outcomes. Finally, the deep supervision module introduces multiple upsampling vessel features from the decoder into the loss function, so that the model can learn vessel feature representations more effectively and alleviate gradient vanishing during the training phase.

Results

Extensive experiments on publicly available multimodal fundus datasets such as DRIVE, CHASE_DB1, and ROSE-1 demonstrate that the DS2TUNet model attains F1-scores of 0.8195, 0.8362, and 0.8425, with Accuracy of 0.9664, 0.9741, and 0.9557, Sensitivity of 0.8071, 0.8101, and 0.8586, and Specificity of 0.9823, 0.9869, and 0.9713, respectively. Additionally, the model also exhibits excellent test performance on the clinical fundus dataset CSC, with F1-score of 0.7757, Accuracy of 0.9688, Sensitivity of 0.8141, and Specificity of 0.9801 based on the weight trained on the CHASE_DB1 dataset. These results comprehensively validate that the proposed method obtains good performance in fundus vessel segmentation, thereby aiding clinicians in the further diagnosis and treatment of fundus diseases in terms of effectiveness and feasibility.
In vivo self-assembled albumin nanoparticle elicit antitumor immunity of PD-1 inhibitor by imaging and clearing tumor-associated macrophages
Authors: Yu Cheng , Hu Linan , Yu Qilin , Ren Yulu , Zhang Minping , Gao Lujing , Lyu Shiyi , Wang Junli , Xiao Enhua , Chen Zhu , Shang Quanliang , Xu Pengfei
Published: October 2024

Eliciting anti-tumor immune responses and improving the tumor microenvironment crucial for boosting the effectiveness of anti-PD-1 immunotherapy. Tumor-associated macrophages (TAMs), the primary types of immune cells infiltrating tumors, play a critical role in the formation of an immunosuppressive microenvironment. In this study, we constructed a novel Evans Blue (EB)-based in vivo self-assembled nanocarrier system, mUNO-EB-ICG-Fc@Alb nanoparticles (designated as MA NPs), for targeted imaging and clearance of M2-TAMs to elicit antitumor immunotherapy of PD-1 inhibitor. In vitro experiments demonstrated the specific fluorescence imaging and killing effect of MA NPs on M2-TAMs. In vivo experiments shown that MA NPs-induced chemodynamic therapy (CDT) successfully reversed the tumor immunosuppressive microenvironment (ITM), promoted intratumoral infiltration of T lymphocytes, and ultimately enhancing the anti-tumor immunotherapy effect of PD-1 inhibitors. This study might provide good inspiration for improving the therapeutic efficacy of cancer immunotherapy.