bluuebunny/crossref_metadata_2025 huggingface dataset:
APPLICATION OF THE NEW B3Y-FETAL POTENTIAL IN THE SEMI-MICROSCOPIC ANALYSIS OF THE SCATTERING OF ACCELERATED 6LI - LITHIUM AND 16O - OXYGEN NUCLEI FROM THE 12C - CARBON NUCLEUS
Authors:   Gumilyov Eurasian National University, Astana, Kazakhstan, D. Soldatkhan D.
Published: January 2024

The phenomenological and semi-microscopic values of the potentials found in the angular distribution of scattering of ions 6Li -lithium, 16О -oxygen from the target nucleus 12C-carbon accelerated at low energies are determined.The experimental data of elastic scattering were analyzed based on the optical model and the doublefolding model.Based on the folding model, the density-dependent new Fetal potential of Yukawa 3 terms of effective nucleon-nucleon interactions was first used. The density-dependent Fetal, Paris, Reid microfolding potentials were constructed in the doublefolding model as a real part of the optical potential. The efficacy of the new Fetal micropotential at laboratory energies of 28 MeV and 30 Mev for the 16О+12С nuclear system was studied in comparison with the Reid, Paris variants. The efficacy of the new Fetal potential at laboratory energies of 12.3 MeV and 20 MeV for the 6Li+12Csystem has been studied in comparison with Reid and Paris potentials. The relative errors of phenomenological theoretical analysis and experimental cross-sections were determined in the range of 1.1 -3.0. As a result of semimicroscopic analysis, the coefficients of renormalization of folding potentials in the range Nr=0.8-1.0 were determined. The data obtained will be used in various fundamental research, in particular in future thermonuclear installations and nuclear astrophysics
QUANTUM-CHEMICAL STUDY OF THE STRUCTURE AND PROPERTIES OF MOLECULE OF THE LUPININE ALKALOID DERIVATIVE
Authors:   Karaganda Buketov University, Karaganda, Kazakhstan, Kopbalina K.B.
Published: January 2024

The paper presents the results of a quantum-chemical study of the molecule 1-((4-(3-methoxyphenyl)-1H-1,2,3-triazol-1-yl)methyl)octahydro-1H-quinolizine. The geometrical characteristics of this molecule obtained from quantum-chemical calculations have been analysed and compared with experimental data of X-ray diffraction analysis. According to the results of the conformational analysis carried out by rotation along the labile bonds C11-N12 and C7-C11, the most favourable conformational states of the molecule have been established. It is shown that the localisation of the boundary molecular orbitals falls on the 1-ethyl-4-(4-methoxyphenyl)-1H-1,2,3-triazole substituent at the C11 atom, which suggests its participation in the subsequent modification reactions carried out to find new biologically active substances.
EFFECT OF THE CONCENTRATION OF SILVER NANOPARTICLES ON THE PHOTOCATALYTIC ACTIVITY OF TITANIUM DIOXIDE NANORODS
Authors:   Karaganda Buketov University, Karaganda, Kazakhstan, Kayumova A.S.
Published: January 2024

In this paper the results of a study of the effect of the concentration of silver nanoparticles in films of titanium dioxide nanorods on their photocatalytic activity are presented.Titanium dioxide nanorods with a rutile structure was obtained usingthe method of hydrothermal synthesis. Due tochanging with the amount of substance of the transition metal silver salt (AgNO3) and chemical reduction on the surface of the titanium dioxide nanorods, Ag nanoparticles of different concentrations were obtained. The photocatalytic activity of the samples was assessed by the amount of photocurrent obtained from a unit of film surface and photodegradation of methylene blue dye when illuminating the surface with a light source of a Xenon lamp.Surface morphologies and energy dispersive X-ray studies showed that Ag nanoparticles were uniformly distributed and anchored on the titanium dioxide nanorods surface.
THERMODYNAMIC ANALYSIS OF THE HEAT PUMP-ADSORPTION AIR DRYING SYSTEM USING A RECOVERY
Authors:   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv,Ukraine, Bezrodny M.K.
Published: January 2024

This paper describes the development of a heat pump and adsorption system that incorpo-rates a recuperator. A theoretical model is developed to analyze the system's operation numeri-cally. The study includes a numerical analysis of the thermodynamic efficiency, an examination of the changes in air parameters at different points in the system, an investigation of the impact of variations in temperature and relative humidity of the surrounding air, and also an analysis of the effect of the regeneration air temperature on the system's performance. Graphical representations of the system's efficiency are generated by modifying the parameters of the outside air and the re-generation air temperature following the heat pump condenser. The study also explores the in-fluence of the recuperator's efficiency on the overall energy efficiency of the system. The results demonstrate that this advanced system significantly reduces the specific electrical energy con-sumption for air drying compared to systems lacking a recuperator or a recuperator and a heat pump, regardless of the outdoor air parameters.
INVESTIGATION THE MAGNETIC PROPERTIES OF CsyCo1-0.5yFe2O4 NANOPARTICLES AT LOW MOLAR RATIO VARIATION
Authors:   Applied Science Department, University of Technology, Iraq, Baghdad, Tareq M.H.
Published: January 2024

The effect of substitution ferrite by previously not used elements to control magnetic properties is of great interest to researchers. This study illustrates the effect of low substitution of Cs, with molar ratios of y of 0.0, 0.05, 0.15, and 0.25 on the structural and magnetic properties of CsyCo1-0.5yFe2O4nanoparticles. The synthesizing method was the co-precipitation method. The metal chlorides were used to perform the reaction in the distilled water using NaOH to reach a pH of 10. The X-ray diffraction, Field Emission Scanning Electron Microscopy, Electron Dispersive X-ray and Vibrating Sample Magnetometry analyses were conducted for all samples. All samples had the patternsof the spinel structure coincide to a high degree with the Co ferrite pattern. There was a general increase in the lattice constant with the increase in the Cs content, while the crystallite size decreased from about 18 to 12.2 nm as the molar ratio increased from 0 to 0.25. The Electron Microscopy investigation showed that all samples owing spherical nanoparticles with no other shapes. The average particle sizes were between 40 to 60nm, which increased Cs1+content. The magnetic parameters mainly showed a relatively high coercivity (wide loops) and a decrease in magnetization saturation (down to 50.43emu/g), crystalline anisotropic constant, and thesquareness ratio
INVESTIGATION OF THE PROCESS OF ELECTRIC ARC METALIZATION OF COATINGS FROM STEEL 30KhGSA
Authors:   SC ", Shynarbek A.B. ,   Modification of the surface of materials",   Shakarim University of Semey, Semey, Kazakhstan
Published: January 2024

The article considers the electric arc metallization technological modes of steel 30KhGSA wires, which affect thestructure formation and properties ofcoatings.Electric arc spraying was carried out using an SX-600 electric arc metallizer. The properties and characteristics of the resulting coatings depend on several plating parameters such as wire feed speed, voltage, and amperage. The coating structure was studied by electron microscopy and metallographic analysis. The coating has a layered structure, which consists of frozen convective metal flows, micro-welded small metal particles and oxides. The results of the study show that an increase in the wire feed speed during metallization leads to an increase in the resulting coating thickness per unit time. On the surface of steel 45, depending on the selected mode, coatings were formedfromsteel30KhGSAwithathicknessintherangefrom50μmto370μm.Ithasbeenestablishedthat when electric arc metallization coatings are sprayed with 30KhGSA wire, the microhardness of the surface layer increases by a factor of 2 relative to the microhardness of 45 steel. Based on studies investigating the impact of various factors in the electric arc spraying process on the formation of coating structures and properties, it can be deduced that utilizing electric arc metallization on steel 30KhGSA substrates allows for the production of coatings with enhanced hardness.
STUDYING THE PHYSICAL CHARACTERISTICS OF THE SNAKE ROBOT MOTION BASED ON THE “BIOLOID PREMIUM KIT” CONSTRUCTION
Authors:   Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia, Loboda Yu.
Published: January 2024

This article examines the physical characteristics of the movement of a snake robot. The main purpose of this work is to develop an algorithm based on the study of the physical characteristics of the movement of a snake robot, which will allow movement in various environmental conditions, both an industrial robot manipulator and a mobile robot. In the course of the work, the equations of motion of the snake robot on various surfaces were obtained. It is established that the snake robot is an open kinematic chain, the elements of which are interconnected by five or more kinematic nodes of rotation based on solving direct and inverse kinematics problems and calculating the position of the robot block in a given orientation. Basedon the study of the physical movements of snakes, a proprietary algorithm for the movement of a snake robot has been developed. A prototype snake robot based on the ROBOTIS BIOLOID Premium Kit was assembled and tested on seven different surfaces. The created high-speed prototype consists of eleven blocks and a CM-530 controller without wheels and ensures high smoothness of movement compared to analogues thanks to the use of the developed algorithm.
MODERNIZATION OF THE MECHATRONIC WATER TREATMENT MODULE FOR PROCESSING PLANTS OF THE AGRO-INDUSTRIAL COMPLEX
Authors:   Kemerovo State University, Kemerovo, Russia, Plotnikov I.B.
Published: January 2024

The agro-industrial complex facilities use water for various purposes. The volume of water consumed by them is large. With the total annual withdrawal of water as a resource from natural water bodies exceeding 60 km3of water, up to a quarter of ше goes to agro-industrial complexes. While these data are approximate, they allow calling agriculture one of the largest water consumers. An important parameter is water quality affected by the method of water treatment. The most promising method of water treatment is cryoconcentration, which involves the crystallization of moisture with subsequent displacement of the solid phase. The imperfection of this process and its mechanization hinder the implementation of this method into production. To increase the productivity of the cryoconcentration method during water treatment, a new design of a carousel-type apparatus with recuperation was developed. To reduce the capture of undesirable elements by the crystallizer and to determine the nature of the crystallization process on the working plates of the cryoconcentrator, a series of experiments was carried out to establish rational parameters of the process. This allowed the authors to develop a mechatronic cryoconcentration module for a carousel-type apparatus.
Main trends in educational development with the help of computer sciences
Authors:   State University of Information and Communication Technologies, Kyiv, Vyshnivskyi V. V.
Published: January 2024

The article is devoted to the topical issue of searching for methods of learning development using technologies based on computer science. Technology plays an important role in society and has naturally integrated into the education sector. The catalyst for the widespread introduction of new forms of education was restrictions on conducting classical forms of classes during the COVID-19 pandemic. The pandemic has forced the global academic community to turn to new learning methods, including distance and online learning. It should be noted that COVID-19 has spurred digitization and innovation in computer science. Thanks to the application of telecommunication and information technologies compatible with various means of supporting learning based on intelligent online platforms, it has become possible, on the one hand, to acquire high-quality education via the Internet, and, on the other hand, to change the methods and forms of education. Based on the analysis of this situation, the contradiction between the emergence of new trends caused by online learning in the world of education and organizational, moral and psychological problems in the world of education is determined. To solve this contradiction, the task of finding means of introducing new technologies based on computer science in the world of education to solve organizational, moral and psychological problems in education arises. With the aim of timely and effective implementation of new trends in the world of education, it is necessary to define and propose modern information technologies based on the theory of computer science that will be able to solve organizational, moral and psychological problems in education. Solving such a task based on the methods and technologies of computer science is timely and relevant. The article considers: technical trends in teaching and learning, namely: gamification, blockchain, artificial intelligence; the growing trend of the importance of teaching interpersonal communication skills with the help of information technologies, namely: entrepreneurship, public speaking and leadership qualities; the trend of introducing nanolearning in order to increase the concentration of attention in less time; the trend of strengthening the role of the teacher as a coach or tutor; the trend of using information technologies for lifelong learning. It is shown how the introduction of new information technologies can solve organizational, moral and psychological problems in education. Proposed forms and methods of introducing new information technologies in educational institutions.
Modification of the reputation and trust model in the tasks of information security of grid systems for resistance to the threat of "malicious host groups"
Authors:   State University of Information and Communication Technologies, Kyiv, Semenov O. V.
Published: January 2024

In Grid-systems, the key idea is the joint use of resources, therefore there is a need for mutual trust between users and resource providers. In small grid systems, all participants are in a relationship of complete trust. For example, in the Ukrainian Academic Grid segment, all participants belong to the National Academy of Sciences of Ukraine, and on this basis there is complete trust. But in larger Grid-systems, participants may often not be directly connected to each other, and there is a risk that one of the participants will turn out to be unscrupulous and malicious. Trust mechanisms are designed to reduce these risks. The main purpose of security mechanisms is to provide protection against malicious users and groups of persons. Traditional security methods usually protect resources from malicious influences by restricting access to authorized users. However, in most cases there is a need to protect the system and its components from those who provide resources and services within heterogeneous computing systems. Thus, there are a large number of problems in the field of security that cannot be solved within the framework of traditional approaches. Information providers can, for example, commit fraud by providing false and unreliable information, and traditional security mechanisms are unable to protect against this type of threat. On the other hand, systems of reputation and trust can provide protection against these risks. The distinction between these two approaches to information security was first described by Rasmussen and Jansson (1996), who used the term hard security to refer to traditional mechanisms such as authentication and access control, and the term soft security to refer to what they called public control mechanisms. in general, exemplified by reputation and trust systems.
Modulation and coding methods in 5th generation networks
Authors:   State University of Telecommunications, Kravchenko V. I.
Published: January 2024

The fifth generation (5G) of wireless communication networks represents a groundbreaking shift in the realm of connectivity, enabling a wide array of transformative applications and services. This article delves into the pivotal role played by modulation and coding methods in the context of 5G networks. It explores their significance, delves into recent research and publications within the field, and outlines the direction for future research endeavors. Modulation and coding (M&C) are fundamental for 5G networks, enhancing data rates, reliability, and reducing interference. This article delves into their role in 5G networks, addressing challenges, including fading channels, interference, and diverse user needs. Recent research explores advanced modulation schemes like 256-QAM and 1024-QAM, requiring error correction coding techniques like Turbo codes and LDPC codes. Massive MIMO, using multiple antennas at both ends, is supported by adaptive coding and modulation. Adaptive Modulation and Coding (AMC) dynamically adjusts schemes based on real-time channel conditions, balancing data rate and reliability. Non-Orthogonal Multiple Access (NOMA) accommodates massive device connectivity, allowing multiple users to share resources with different power levels and modulation schemes. The study aims to comprehensively analyze 5G's M&C methods, assess modulation schemes for higher data rates, evaluate error correction coding, investigate Massive MIMO and adaptive modulation for spectral efficiency, and scrutinize NOMA's potential for massive device connectivity. Results highlight the importance of advanced modulation schemes, efficient error correction coding, and adaptive techniques in realizing 5G objectives, enabling higher data rates, lower latency, and improved reliability. NOMA is promising for accommodating many connected devices in 5G. M&C are essential for efficient and reliable data transmission in 5G, with ongoing research refining techniques for 6G and beyond. Integrating machine learning and AI into M&C algorithms holds promise for enhancing network efficiency and reliability.
Evolution of transport service architecture in Russia and the Soviet Union (Saratov)
Authors: Nikishin S. A. , Dyadchenko S. F. , Sukhinina E. A.
Published: January 2024

The article studies in the national history of the architectural typology evolution of transport services in Russia and the Soviet Union. The progress of motor transport since the end of the 19th century and new tasks put forward by this process, require an intensive typological search for innovative architectural solutions. Since the beginning of the 20th century, motor transport services together with the developing motor transport network become significant elements of the urban development, largely determining their new image. The architecture of transport service facilities directly relates to the current development of vehicles in technological and socio-economic aspects.

The purpose of the study is to analyze and generalize the architecture typology of the transport service in Russia, depending on technological and social factors.
Primjena organskih kiselina u dekontaminaciji trupova klaonički obrađenih životinja
Authors: Blažević Meri , Kiš Marta , Cvrtila Željka , Zdolec Nevijo
Published: January 2024

Mikrobiološko onečišćenje površine trupova životinja neizbježno nastaje pri klaoničkoj obradi ili je rezultat ozbiljnih higijensko-tehnoloških propusta. Cilj je svih mjera dobre higijenske i proizvođačke prakse postići što bolji mikrobiološki status trupa odnosno što manju populaciju bakterija indikatora onečišćenja te smanjiti incidenciju patogenih bakterija. Ponekad te mjere ne daju učinka, te se pristupa dekontaminaciji trupa, najčešće toplom vodom ili blagim otopinama organskih kiselina, mliječne ili octene. Uspješnost dekontaminacije trupova organskim kiselinama ovisi o mnogobrojnim čimbenicima; razini inicijalne kontaminacije, vrsti i osjetljivosti određene vrste mikroorganizma, načinu primjene otopine organske kiseline i trajanju izlaganja, koncentraciji i pH vrijednosti, temperaturi kiseline i trupa koji se tretira, tlaku primjene i kombinaciji navedenih čimbenika. Kemijska dekontaminacija ne smije imati štetan utjecaj na konačni proizvod i okoliš. Dekontaminaciju nikako ne treba doživljavati zamjenom za dobru higijensku praksu, odnosno alatom rješavanja neodgovorne nehigijenske obrade trupova.
Development of a procedure for model selection in machine learning-based methods for structural damage detection
Authors: Hung Ha Manh , Long Nguyen , Hung Dang Viet , Thuat Dinh Van
Published: January 2024

Output-only methods based on machine/deep-learning algorithms are highly practical approaches for timely detecting potential damages in civil structures as they directly employ measured vibration signals but do notrequire exact knowledge of input loading nor the service interruption for manual inspection. However, there isno one-size-fits-all model that is optimal for all problems in different perspectives; hence, it is necessary todiscover the advantages as well as drawbacks of different models, then leverage these understandings to selectthe most appropriate model for specific structures in reality. Therefore, this study develops a framework thatfacilitate the model selection by extensively comparing various machine learning-based methods ranging fromrelatively simple ones such as Na¨ıve Bayes to complex ones such as the extreme boosting tree-based ensemblemodel. The framework can provide comparison results include various aspects such as model complexity, training time, detection accuracy, and inference time.
An empirical analysis for estimating the implementation duration of road work projects in low and middle-income countries
Authors: Hiep Dinh Van , Sodikov Jamshid , Sadikov Ibragim , Musulmakov Quvonchbek , Tru Vu Ngoc
Published: January 2024

The implementation duration of road work is critical as it impacts both the cost and outcome of the project. The article examines the techniques used to determine the time required for the completion of road work projects.It explores the approach to estimating the duration of road work projects in low- and middle-income countries(LMICs) based on the ROCKS database created by the World Bank. The road work covers maintenance, rehabilitation and reconstruction (MR&R) activities. R programming is used for regression analysis of estimating the duration of road projects. The findings reveal that a 1% increase in project expense results in a 0.4% increase in project duration and that changes in the project area also affect the project duration. Additionally, a 1% rise in gross domestic product (GDP) per capita leads to a 0.05% decrease in project duration. It presents a thorough examination of the methodology used for estimating the duration of road projects in LMICs. The use of regression analysis as a method for determining project duration is proposed, and the results of the analysis indicate a strong correlation between project cost, project area, GDP per capita, and project duration.
Mitigasi Bencana Hidrologi Banjir Untuk Anak Usia Dini Di Tk Negeri Pembina Kampar
Authors: Wahyuni Sri , Efastri Sean Marta
Published: January 2024

Events or disasters that ensue can be accomplished by early childhood, namely the attitude of alertness and disaster response, because with disasters, if children of this age are not provided mitigation education, it has an impact on their health both physically and mentally. Early childhood is different in dealing with these disasters depending on how the family supports the community and the school. Therefore, the government and schools should provide this mitigation education from an early age. Flood mitigation education in early childhood must be measured by the establishment of a program from the government in order to contribute to those who are often affected by flood disasters. Also, these educational activities in government work programs must synergize with the community so as not to throw garbage in its place, then understanding to teachers and parents related to the cleanliness of the home and school environment.
КОМУНІКАТИВНО-ПРАГМАТИЧНИЙ АСПЕКТ ФУНКЦІОНУВАННЯ СУЧАСНОЇ УКРАЇНСЬКОЇ ВІЙСЬКОВОЇ ЛЕКСИКИ ТА ОСОБЛИВОСТІ ЇЇ ПЕРЕКЛАДУ (НА МАТЕРІАЛІ ГАЗЕТНИХ СТАТЕЙ)
Authors: БЕЖЕНАР Ірина , КУСІК Анастасія
Published: January 2024

У статті висвітлено результати дослідження комунікативно-прагматичного аспекту вживання сучасної української військової лексики, зокрема емоційно забарвлених військових лексем, та особливостей її перекладу англійською мовою на матеріалі газетних статей на військову тематику, опублікованих у період з 22 лютого 2022 року по листопад 2023 року. Актуальність дослідження обумовлена як стрімким зростанням частотності вживання у медійному просторі військових лексем, у тому числі  новоутворених та тих, які змінили своє семантичне наповнення і мають відмінне від загальновизнаного комунікативно-прагматичного навантаження, так і необхідністю формування чіткого, адекватного тлумачення функцій цієї зміненої за своєю семантичною сутністю військової лексики, а також виявлення особливостей її перекладу в сучасних англійсько- та українськомовних ЗМІ. Метою дослідження є виявлення специфіки функціонування української військової лексики в газетних статтях, зокрема її комунікативної прагматики, а також визначення особливостей її відтворення в українсько-англійських та англійсько-українських перекладах. У рамках дослідження розглянуто різноманітні приклади новоутворених військових лексем, вибрані з сучасних публікацій, що присвячені темі війни в Україні; уточнено зміст їх комунікативно-прагматичного навантаження; проаналізовано способи їх відтворення в українсько-англійських та англійсько-українських перекладах. Належну увагу приділено аналізу найчастотніших трансформацій, застосованих для їх перекладу, у тому числі з огляду на урахування комунікативно-прагматичного аспекту їх функціонування.
Prediction of the Impact of Ring Spinning Machine Front Roller Rubber Cot Shore Hardness on Spun Yarn Quality Parameters
Authors:   Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University, Bahir Dar, Ethiopia, Ferede Eyasu , Tesfaye Tamrat ,   Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University, Bahir Dar, Ethiopia, Ayele Million ,   Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University, Bahir Dar, Ethiopia, Atalie Desalegn ,   Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University, Bahir Dar, Ethiopia, Wagaye Bewuket  Teshome ,   Ethiopian Institute of Textile and Fashion Technology, Bahir Dar University, Bahir Dar, Ethiopia
Published: January 2024

The yarn quality is mostly determined by the spinning settings, process control methods, and raw material. The most crucial and fundamental process in ring spinning is drafting, which has a significant impact on the quality of the yarn. Yarn quality is greatly impacted by drafting elements such as shore hardness. This study aimed to predict the effect of different degrees of shore hardness in the ring machine front roller rubber cot on 100% cotton and 32s Ne ring spun yarn quality parameters. The backline shore hardness was constant. Cotton yarn properties, including mass uniformity, imperfection level, unevenness, hairiness, tensile strength, and elongation, were measured and analyzed in accordance with ASTM D1425-96 and ASTM D2256, 2015 test standards, respectively. Linear regression equations were developed for prediction. A linear regression analysis showed that there is a positive correlation between shore hardness and yarn quality parameters with higher R2 values. Therefore, almost in all cases, the value of R2 was above 0.834, which signifies one can make a definite prediction about the yarn properties with different shore hardness. From the result of this study, it can be concluded that the quality of the produced yarn is superior to about 63-65° shore hardness values.
Povijesni pregled neuroloških poremećaja povezanih s gastrointestinalnim bolestima s Avicennina stajališta
Authors: Dadmehr Majid , Seif Farhad , Bahrami Mohsen , Amini-Behbahni Frashad , Minaii Zangi Bagher , Tavakol Chanour
Published: January 2024

Reviewing historical medical manuscripts shows that neurological disorders have been previously described in the Islamic Golden Age. Ibn Sina, also known as Avicenna (980-1037 AD), was one of the most renowned scientists during this period. He widely practiced medicine, especially those disorders related to neurology, neurosurgery, and psychiatry in conventional medicine. In his extant book al-Qānūn fī al-Tibb (the Canon of Medicine), he claimed that some types of brain diseases can be related to the “marāqq” and called them marāqq-related disorders. From Avicenna’s viewpoint, “marāqq” is considered a membranous structure in the abdomen. Ibn Sina has illustrated the association between the “marāqq” and the brain through some direct and indirect pathways. As a result, some disturbances in the “marāqq” can influence the brain, which can contribute to the pathogenesis of a number of brain diseases. Accordingly, those patients who regularly had gastrointestinal discomforts experienced a higher prevalence of headache, melancholia, and epilepsy. This study aimed to explore the relationship between abdominal and brain diseases from Avicenna’sviewpoint. Furthermore, the definition, clinical manifestation, and therapeutic strategies of marāqq-related disorders were described.
Pendidikan Politik Santri Dipondok Pesantren Jabal Rahmah Anau Kadok Talang
Authors: Afizah Nurul , Dahlan Dewi
Published: January 2024

This research is motivated by the importance of political education among students (santri) of the Jabal Rahmah Anau Kadok Talang Islamic Boarding School. The aim of political education at this boarding school is to shape the character of the students, enabling them to become citizens with ethical and polite political behavior, as well as a deep understanding of political issues. Although there is no specific curriculum for teaching political education, it is integrated through subjects such as Civic Education (PPKN), the activities of the Student Executive Board (BES), discussions, democratic culture practices, and the study of the Prophet's biography (Siroh Nabawiyah). This research employs a qualitative approach, collecting data through in-depth interviews. The objective is to analyze how political education at the Jabal Rahmah Islamic Boarding School shapes the political perspectives and thought patterns of the students, as well as the role of the school leaders in forming the students' political understanding. The research findings indicate that political education at this boarding school focuses on knowledge transfer, consciousness-raising, political identity, and organizational skills development. Through democratic spaces within the Student Council (OSIS) and lectures, the students acquire an understanding of positive political values. The students are also engaged in organizational activities that allow them to develop leadership skills. The political education at this boarding school successfully shapes good behavior, teaches ethical and wise political conduct, and equips the students to respond to political issues. The conclusion drawn from this research is that political education at the Jabal Rahmah Islamic Boarding School effectively molds the character and political understanding of the students. By employing an approach that involves various aspects of knowledge, orientation, behavior, and political action, the political education at this boarding school is capable of producing students who are aware of their rights and responsibilities as citizens, possess political ethics, and can approach political issues wisely. This research provides fresh insights into how political education can shape the character and political perspectives of students, and have an impact on their involvement in political and social life in Indonesia..
Analisis Tingkat Literasi Politik Mahasiswa Fakultas Ushuluddin Adab dan Dakwah Universitas Islam Negeri Mahmud Yunus Batusangkar
Authors: Rahman Habibur
Published: January 2024

This study focuses on knowing the political literacy abilities of Ushuluddin Adab and Da'wah Faculty students. This type of research is descriptive with a quantitative approach with a questionnaire instrument. Data collection was carried out by distributing questionnaires to 91 respondents from the Usuluddin Adab and Da'wah Faculty students. The type of research that the researchers used was descriptive quantitative analysis. The research questionnaire was tested for validity and reliability using the Cronbach's Alpha technique with the help of IBM SPSS V25. The researcher uses the political evaluation criteria as a theory which is then used as the basis for the discussion. The results show that the ability of Ushuluddin Adab and Da'wah Faculty students can be said to be good. From the research conducted in the field, it can be concluded that the ability of political literacy when viewed by students of the Ushuluddin Adab and Da'wah Faculty when viewed from the knowledge indicator is at a moderate level with a percentage of (69.2%). While the political literacy of fuad students from the attitude indicator is classified as high with a percentage of (79.1%) and in terms of literacy, the fuad students from the aspect of expertise (skil) are classified as moderate with a percentage of (63.7%)
Antibacterial effect of Ag-containing hydroxyapatite thin film fabricated by sputtering
Authors: Ozeki K. , Nakajima Y.
Published: January 2024

BACKGROUND: Infections related to joint prosthesis are still a major concern for orthopedic surgeons. Hydroxyapatite (HA) is a useful biocompatible material because of its good osteocompatibility. Antibacterial HA coatings have been fabricated with addition of antibacterial agents such as Ag to HA using the plasma spraying method. However, the plasma-sprayed HA coating suffers from fractures at large thicknesses. The sputter-coated HA thin film has a high density, and has been applied clinically for dental implants. However, there are no extensive studies on Ag-containing HA thin films. OBJECTIVE: The aim of this study was to prepare an Ag-containing HA thin film by sputtering, and evaluate its antibacterial effect and cytotoxicity. METHODS: The Ag-containing HA thin films were prepared by radio-frequency magnetron sputtering. The films were characterized using X-ray photoelectron spectroscopy, X-ray diffractometry, and scanning electron microscopy (SEM). The antibacterial activities and cytotoxicities of the films were also evaluated. RESULTS: The Ag/Ca molar ratio of the films increased with the Ag ratio in the target. The SEM observation of the hydrothermally treated films showed surfaces covered with globular particles. All Ag-containing HA films exhibited an antibacterial effect against E. Coli. The number of cells of the films decreased with the Ag ratio. The films subjected to the hydrothermal treatment exhibited a higher number of cells than the as-sputtered films. CONCLUSION: The Ag-containing HA thin film was effective in terms of antibacterial effect, and had a low cytotoxicity in the proliferation of osteoblast cells at a low Ag ratio in the target.
RETRACTED: Hybridizing genetic algorithm and harmony search for higher-order mutation testing
Authors: Ghiduk Ahmed S. , Hashim Marwa
Published: January 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Arc entropy of uncertain random variables and its applications
Authors: Tan Guimei , Yu Yuehai , Yu Xichang
Published: January 2024

Due to the complexity of the real world, randomness and uncertainty are ubiquitous and interconnected in the real world. In order to measure the research objects that contain both randomness and uncertainty in practical problems, and extend the entropy theory of uncertain random variables, this paper introduces the arc entropy of uncertain random variables and the arc entropy of their functions. On this basis, the mathematical properties of arc entropy and two key formulas for calculating arc entropy are also studied and derived. Finally, two types of the mean variance entropy model with the risk and diversification are established, and the corresponding applications to rare book selection for the rare book market are also introduced.
Evaluation of synergistic effect between “dual carbon” and high-quality economic development based on the FOPA-Cloud model
Authors: Lin Xiangyi , Luo Hongyun , Lian Yinghuan
Published: January 2024

This research mainly evaluates the synergistic effect of “dual carbon” and high-quality economic development from four aspects: carbon reduction, pollution reduction, green expansion, and economic growth. Firstly, an indicator system of synergistic effect evaluation is constructed, and a FOPA-Cloud evaluation model is proposed based on the FOPA (Fuzzy Ordinal Priority Approach) and Cloud model. Based on the evaluation of experts’ language variables, it is calculated that a province’s “dual carbon” and high-quality economic development generally belong to a high-level synergistic effect. However, further improvement is still needed in reducing carbon, pollution reduction, and green expansion. The tedious work of pairwise comparison can be overcome in the FOPA-Cloud model. Optimizing and solving to determine the weight of each indicator can not only determine the overall level but also analyze specific reasons, which can provide a basis for improving the synergistic effect of “dual carbon” and high-quality economic development.
Detection of coconut leaf diseases using enhanced deep learning techniques
Authors: Subbaian Santhi , Balasubramanian Anand , Marimuthu Murugan , Chandrasekaran Suresh , Muthusaravanan Gokila
Published: January 2024

Coconut farming is a significant agricultural activity in South India, but the coconut trees face challenges due to adverse weather conditions and environmental factors. These challenges include various leaf diseases and pest infestations. Identifying and locating these issues can be difficult because of the large foliage and shading provided by the coconut trees. Recent research has shown that Computer Vision algorithms are becoming increasingly important for solving problems related to object identification and detection. So, in this work, the YOLOv4 algorithm was employed to detect and pinpoint diseases and infections in coconut leaves from images. The YOLOv4 model incorporates advanced features such as cross-stage partial connections, spatial pyramid pooling, contextual feature selection, and path-based aggregation. These features enhance the model’s ability to efficiently identify issues such as yellowing and drying of leaves, pest infections, and leaf flaccidity in coconut leaf images taken in various environmental conditions. Furthermore, the model’s predictive accuracy was enhanced through multi-scale feature detection, PANet feature learning, and adaptive bounding boxes. These improvements resulted in an impressive 88% F1-Score and an 85% Mean Average Precision. The model demonstrates its effectiveness and robustness even when dealing with medium-resolution images, offering improved accuracy and speed in disease and pest detection on coconut leaves.
Cervical cancer risk assessment using machine learning integrated fuzzy MCDM methodology
Authors: Camgoz Akdag Hatice , Menekse Akin , Sahin Fatih
Published: January 2024

Cervical cancer is entirely preventable if diagnosed at an early stage; however, the current rate of cervical cancer screening participation is not very adequate, and early detection approaches are still open and demanding. Evaluating the risk levels of potential patients in a practical and economic way is crucial to direct risky candidates to screening and establishing potential treatments to conquer the disease. In this study, a machine learning-integrated fuzzy multi-criteria decision-making (MCDM) methodology is proposed to assess the cervical cancer risk levels of patients. In this context, based on behavioral criteria obtained from the publicly accessible cervical cancer behavior risk data set from the UCI repository, the risk levels of patients are evaluated. The proposed methodology is established in three stages: In the first stage, using a machine learning technique, i.e., feature selection, the most effective criteria for predicting cervical cancer risk are selected. In the second stage, the criteria for importance through intercriteria correlation (CRITIC) method is used to assign objective importance levels to the criteria. In the third stage, the cervical cancer risk levels of candidate patients are prioritized using the technique for order preference by similarity to the ideal solution (TOPSIS) and, alternatively, the evaluation based on distance from the average solution (EDAS) techniques. The proposed methodology is developed in an interval-valued Pythagorean fuzzy atmosphere for quantifying the uncertainty in the nature of the problem. This study demonstrates that the feature selection algorithm can be efficiently utilized to determine the fundamental criteria of an MCDM problem and to aid in the early identification of cervical cancer.
Deep iterative fuzzy pooling in unmanned robotics and autonomous systems for Cyber-Physical systems
Authors: Ravindra Krishna Chandar V. , Baskaran P. , Mohanraj G. , Karthikeyan D.
Published: January 2024

Unmanned robotics and autonomous systems (URAS) are integral components of contemporary Cyber-Physical Systems (CPS), allowing vast applications across many domains. However, due to uncertainties and ambiguous data in real-world environments, ensuring robust and efficient decision-making in URAS is difficult. By capturing and reasoning with linguistic data, fuzzy logic has emerged as a potent tool for addressing such uncertainties. Deep Iterative Fuzzy Pooling (DIFP) is a novel method proposed in this paper for improving decision-making in URAS within CPS. The DIFP integrates the capabilities of deep learning and fuzzy logic to effectively pool and aggregate information from multiple sources, thereby facilitating more precise and trustworthy decision-making. This research presents the architecture and operational principles of DIFP and demonstrates its efficacy in various URAS scenarios through extensive simulations and experiments. The proposed method demonstrated a high-performance level, with an accuracy of 98.86%, precision of 95.30%, recall of 97.32%, F score of 96.26%, and a notably low false positive rate of 4.17%. The results show that DIFP substantially improves decision-making performance relative to conventional methods, making it a promising technique for enhancing the autonomy and dependability of URAS in CPS.
RETRACTED: Type - 2 mamdani fuzzy inference system based model for rainfall forecasting
Authors: Adnan R. Syed Aamir , Kumaravel R.
Published: January 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Bayesian network structure learning based on HC-PSO algorithm
Authors: Gao Wenlong , Zhi Minqian , Ke Yongsong , Wang Xiaolong , Zhuo Yun , Liu Anping , Yang Yi
Published: January 2024

Structure learning is the core of graph model Bayesian Network learning, and the current mainstream single search algorithm has problems such as poor learning effect, fuzzy initial network, and easy falling into local optimum. In this paper, we propose a heuristic learning algorithm HC-PSO combining the HC (Hill Climbing) algorithm and PSO (Particle Swarm Optimization) algorithm, which firstly uses HC algorithm to search for locally optimal network structures, takes these networks as the initial networks, then introduces mutation operator and crossover operator, and uses PSO algorithm for global search. Meanwhile, we use the DE (Differential Evolution) strategy to select the mutation operator and crossover operator. Finally, experiments are conducted in four different datasets to calculate BIC (Bayesian Information Criterion) and HD (Hamming Distance), and comparative analysis is made with other algorithms, the structure shows that the HC-PSO algorithm is superior in feasibility and accuracy.
Antisense Oligonucleotide-Mediated Downregulation of IGFBPs Enhances IGF-1 Signaling
Authors: Yavas Alper , van Putten Maaike , Aartsma-Rus Annemieke
Published: January 2024

Insulin-like growth factor-1 (IGF-1) has been considered as a therapeutic agent for muscle wasting conditions including Duchenne muscular dystrophy as it stimulates muscle regeneration, growth and function. Several preclinical and clinical studies have been conducted to show the therapeutic potential of IGF-1, however, delivery issues, short half-life and isoform complexity have impose challenges. Antisense oligonucleotides (AONs) are able to downregulate target proteins by interfering with their transcripts. Here, we investigated the feasibility of enhancing IGF-1 signaling by downregulation of IGF-binding proteins. We observed that out of frame exon skipping of Igfbp1 and Igfbp3 downregulated their protein expression, which increased Akt phosphorylation on the downstream IGF-1 signaling in vitro. 3’RNA sequencing analysis revealed the related transcriptome in C2C12 cells in response to IGFBP3 downregulation. The AONs did however not induce any exon skipping or protein knockdown in mdx mice after 6 weeks of systemic treatment. We conclude that IGFBP downregulation could be a good strategy to increase IGF-1 signaling but alternative tools are needed for efficient delivery and knockdown in vivo.
Congenital diaphragmatic hernia with associated broncho-pulmonary sequestration: A report of two cases and a literature review
Authors: Alhamad Moath , Anand Dhullipala
Published: January 2024

BACKGROUND: Congenital Diaphragmatic Hernia (CDH) is a severe congenital anomaly with significant morbidity and mortality. It can be isolated or can be associated with other congenital anomalies, including broncho-pulmonary sequestration (BPS). The association of CDH with BPS (CDH+BPS) is uncommon but has been previously reported, and it can complicate the course of the disease in patients with CDH. We report two cases of CDH+BPS that were recently treated at our CDH-Qatar (CDH-Q) program. METHODS: We reviewed CDH-Q program registry to search for CDH+BPS and extracted the data for the identified cases. We also reviewed the previously published literature available on PubMed for similar cases. RESULTS: Out of 53 cases of CDH referred to CDH-Q from January 2018 to December 2022, two cases of CDH+BPS were identified, with an estimated prevalence of 3.8% of this association in our CDH population. Both cases were born at term. Case 1 was diagnosed with CDH+BPS postnatally, while case 2 was diagnosed with CDH antenatally but BPS was diagnosed after birth. Both cases underwent a surgical repair of the CDH with resection of the associated BPS, and the histopathology of the resected lung tissue confirmed the presence of BPS in both. Both cases survived to discharge. CONCLUSION: The association of CDH+BPS is uncommon; however, it can have significant consequences on the management and the prognosis of patients with CDH. Reporting these cases is important to provide a better understanding of this association and its impact on CDH patients.