bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH PUPUK KANDANG SAPI DAN PUPUK GANDASIL D TERHADAP PERTUMBUHAN DAN HASIL TANAMAN BAWANG PREI (Allium porrum L.)
Authors: Liah RB Lasah
Published: February 2024

Keberhasilan suatu tanaman ditentukan oleh media tanam. Tujuan penelitian untuk mengetahui pengaruh pupuk kandang sapi dan pupuk Gandasil D terhadap pertumbuhan tanaman bawang prei, juga untuk mengetahui dosis pupuk kandang sapi dan pupuk Gandasil D yang tepat terhadap perumbuhan tanaman bawang prei.Penelitian dilakukan selama 3 bulan, mulai bulan April 2022 sampai dengan bulan Juni 2022 terhitung mulai dari persiapan media tanam, pemberian pupuk, penanaman, hingga pemanenan dan pengambilan data. Lokasi penelitian ini dilaksanakan di Kampung Ujoh Bilang RT 03. Kabupaten Mahakam Hulu.Penelitian menggunakan rancangan percobaan dengan analisis faktorial 4 x 4 dalam Rancangan Acak Lengkap (RAL), yang diulang sebanyak 5 kali. Terdiri atas 2 faktor perlakuan. Faktor I, Dosis Pupuk Kandang Sapi (K) terdiri dari atas 4 taraf, yaitu: tanpa pupuk kandang sapi atau kontrol (k0), dosis pupuk 200 g/polibag (k1), dosis pupuk 400 g/polibag (k2), dan dosis pupuk 600 g/polibag (k3). Faktor II, Konsentrasi Pupuk Gandasil D (G)), terdiri atas 4 taraf, yaitu: tanpa pupuk gandasil D atau kontrol (g0), konsentrasi 2 ml/l.air (g1), konsentrasi 4 ml/l.air (g2), dan konsentrasi 6 ml/l.air (g3).      Hasil penelitian menunjukkan bahwa Perlakuan pupuk kandang sapi (K) berpengaruh sangat nyata terhadap tinggi tanaman, jumlah daun, jumlah anakan, panjang akar dan bobot tanaman. Bobot tanaman tertinggi terdapat pada perlakuan pupuk kandang sapi dengan dosis 600 g/polibag (k3), yaitu 90,05 g. Sedangkan bobot tanaman terendah terdapat pada perlakuan tanpa pupuk kandang sapi atau kontrol (k0), yaitu 45,35 g.Perlakuan pupuk Gandasil D (G) tidak berpengaruh nyata terhadap tinggi tanaman. Berpengaruh sangat nyata terhadap jumlah daun, jumlah anakan, panjang akar dan bobot tanaman. Bobot tanaman tertinggi terdapat pada perlakuan konsentrasi 6 g/li.air pupuk Gandasil D (g3), yaitu 79,90 g. Sedangkan Bobot tanaman terendah terdapat pada perlakuan tanpa pupuk Gandasil D atau kontrol (g0), yaitu 60,95 g.Interaksi perlakuan pupuk kandang sapi dan pupuk Gandasil D (KxG) tidak berpengaruh nyata terhadap tinggi tanaman, jumlah daun dan jumlah anakan. Berpengaruh sangat nyata terhadap panjang akar dan bobot tanaman. Bobot tanaman tertinggi terdapat pada perlakuan k3g3 (dosis 600 g/polibag pupuk kandang sapi dan konsentrasi 6 g/l.ait pupuk gandasil D), yatu 104,40 g. Sedangkan bobot tanaman terendah terdapat pada perlakuan k0g0 (tanpa pupuk kandang sapi dan pupuk gandasil D), yaitu 36,60 g.
SOFRA SERAMİĞİ TASARIMINDA BİTKİSEL ÜSLUP VE BİR TASARIM ÖĞESİ OLARAK KAZ DAĞLARI ENDEMİK BİTKİLERİ
Authors: SEVGİ Damla , ZÜMRÜT Yeşim
Published: February 2024

Sofra seramiklerinin üretildiği dönem, dönemin kültür ve tasarım anlayışı, kullanılan teknoloji gibi faktörler ürüne değer katan önemli unsurlar arasında yer almaktadır. Bu çalışmada, 16. yüzyılın sonlarından itibaren Çin porselenleriyle başlayan sofra seramiği ve dekor tasarımı kültürünün, porselen fabrikalarının kurulmasıyla birlikte geçirdiği evrim süreci ve günümüzde marka niteliği taşıyan zengin anlatım biçimlerine dönüşümü ele alınmaktadır. Marka değeri taşıyan farklı sofra seramiği üreticilerinin ürünlerinde bitkisel üslubun nasıl ele alındığını inceleyen çalışmanın önemli noktalarından biri, 1761'den 1883'e kadar uzanan tarihi bir geçmişe sahip olan ve günümüzde üretimine Royal Copenhagen markasıyla devam eden Flora Danica yemek takımı serisidir. Bu koleksiyon, Danimarka'ya özgü tüm yabani bitkilerin detaylı çizimlerini içeren bir botanik atlasıdır. Çalışma, Flora Danica serisinden esinlenerek, Çanakkale Kaz Dağları'na özgü endemik bitkilerden türetilen sofra seramiği dekor tasarımlarına odaklanmaktadır. Tasarımın dil, din, ırk ayrımı gözetmeksizin tüm coğrafyalarda ortak bir dil olma gücünü kullanarak, Kaz Dağları'ndaki endemik bitkiler hakkındaki bilinci arttırmak ve uluslararası rekabet ortamında sektöre marka değeri katacak tasarım çalışmaları hazırlamak hedeflenmektedir.
Структурно-содержательный потенциал прецедентных феноменов
Authors: Жумабекова Б.К. , Шахметова Н.А.
Published: February 2024

Мақалада прецеденттілік теориясына арналған ғылыми әдебиетке шолу жасалған; «прецеденттік құбылыс» терминінің түсінігі мен оның топтастырылуы туралы лингвистика ғылымында қалыптасқан ғылыми көзқарастар баяндалған. Қазақ тілі материалы негізінде авторлар прецеденттік атаулар, прецеденттік сөйлемдер, прецеденттік жағдаяттар және прецеденттік мәтіндерге жататын мақалдар сынды прецеденттік құбылыстарды талдаған. Тілдік материалды талдау барысында прецеденттік құбылыстардың өздеріне тән ерекшеліктері анықталып, сипатталған. Авторлар сонымен қатар прецеденттік атаудың құрылымын нақты ұсынды және белгілі бір құрылымдық компонентті бөліп көрсету қажеттілігін негіздеді. Сонымен қатар, адам болмысының, оның іс-әрекеттерінің, қоршаған ортаға деген қарым-қатынасының бағалауын көрсететін прецеденттік құбылыстардың мазмұндық әлеуеті анықталған. Демек, авторлар прецеденттік құбылыстар әлемнің құндылық моделін қалыптастыру құралы ретінде әрекет ететіндігін негіздейді.
Symbolism of the number “four” in English and Kazakh Languages
Authors: Kelmaganbetova A.S. , Omasheva Zh.М , Sovetova Z.S. , Luchik M.
Published: February 2024

The article considers the comparative study of the symbolism of English and Kazakh stable combinations, as well as proverbs and sayings with the numerical component “four”. The study revealed both similarities and differences in the symbolism of the number “four” in English and Kazakh languages, which is explained by the universality of the character of the symbols on the one hand and the fact that there is an ethnocultural specificity in the connotative meaning, which is reflected in the culture and language of the people. The universality of the symbolization of numbers is determined by the anthropocentric worldview and the universalsystem of human development, as well as the desire of a person to explain the structure of the world through the sacred power of numbers. At the end of the article the authors came to conclusion that the numerals with the component four as part of stable combinations in English and Kazakh Languages acquire a symbolic meaning. Stable combinations with the numeral component characterize various aspects of human life: its external qualities and internal properties, behavior, relationships with other people, as well as ideas related to the quantitative and spatial development of the world and the universe.
The Feasibility of Implementing Drawback on Services in Brazil
Authors: Meira Liziane Angelotti , Masuko Ana Clarissa , Laís Santana Hadassah , Croope Silvana , Sehn Solon
Published: February 2024

This article analyzes the possibility and problems involved in the implementation of the drawback regime for the taxation of services in Brazil. The drawback is a customs regime with wide application in Brazil, with a great impact on exports. However, currently the drawback is restricted to the taxation of goods, although the economic weight of services in the aggregation of values in the Brazilian product is increasing. This paper discusses one of the biggest obstacles to the extension of the services drawback in Brazil, whose current structure of the Brazilian indirect taxation on services, which is unsystematic, generates high compliance costs for taxpayers and is highly cumulative.
Labor Inspections as Law Enforcement on Child Labor in Brazil
Authors: Aransiola Temidayo James , Justus Marcelo , Yeung Luciana L.
Published: February 2024

Empirical evidence on the effect of the inspection activities conducted by the Brazilian Ministry of Labor and Employment is rare. This paper puts forward the hypothesis that inspection activities reduce the child labor rate in Brazilian states. To reach that conclusion, we used aggregate data from National Household surveys, the Ministry of Labor and Employment, and the Ministry of Social Development to estimate a dynamic panel data model. Results show that inspection activities contributed to reduce the child labor rate. However, the reduction resulting from such law enforcement measure is still modest compared to that resulting from cash transfer programs.
Nigeria Economic Growth and Government Capital Expenditure, 1981- 2020
Authors: Jude Ikubor Ofili , Saheed Z.S. , Oluwaseun Oladipo Abimbola
Published: February 2024

This study examined government expenditure effect on Nigeria’seconomic growth between 1981 and 2020, using ARDL model.The data obtained were secondary sources, CBN StatisticalBulletin, NBS and World Bank database. The dependent variableof the study is Gross Domestic Product (GDP), proxy as economicgrowth, while Capital Expenditure on Agriculture (AGEX),Capital Expenditure on Manufacturing, Mining and Quarrying(MGEX), were the independent variables. The results of thefindings reveal that both AGEX and MGEX have positiverelationship with GDP and at the 5% significant level, arestatistically significant. The study therefore recommends that sincespending in the areas of infrastructural facilities is a gooddeterminant of output growth, government should ensure that basicinfrastructural facilities needed in these sectors (agriculture andmanufacturing, mining and quarrying) such as good roads, storagefacilities stable electricity and so on, are provided.
ICMS na Base de Cálculo do Pis/Cofins: A Devolução dos Valores Pagos Indevidamente na Distribuição De Energia Elétrica
Authors: Bernart Luciano , Vieira de Souza Barbosa Eduardo
Published: February 2024

Com a definição, por parte do STF, de que o ICMS não faz parte da base de cálculo do PIS e da Cofins, surgiu oquestionamento sobre a restituição dos créditos tributários em favor das distribuidoras de energia elétrica,uma vez que os valores para pagamento destes tributos haviam sido repassados aos usuários. Mesmo antes de a Aneel decidir sobre a destinação dos indébitos, foiaprovada lei que determinou que o órgão regulador deve fazer com que as distribuidoras restituam os montantes aos consumidores. Além da possível retroatividade do estabelecimento de competência da Aneel para decidir sobre a destinação da restituição, outras questões sãoabordadas, como a inserção de elementos no cálculo do montante a ser devolvido, a efetivação da restituição e a forma do repasse aos usuários.
Increasing the level of physical fitness of players men's student volleyball team
Authors: Vishnevskyi Mykola , Storozhenko Andriy
Published: February 2024

The article shows the importance of strength training in student volleyball and its influence on various aspects of players' physical fitness. The experience of training volleyball players convincingly proves the importance of using various strength exercises in the annual training cycle. The purpose of the work was to experimentally prove the effectiveness of the strength training program for improving the physical fitness of players of the student volleyball team. Analysis and generalization of literary and documentary materials, pedagogical observation, pedagogical testing, methods of mathematical statistics were used in the research. The study included a review of modern approaches to strength training in volleyball and its impact on increasing muscle strength, speed, endurance, and agility of players. The main aspects that should be taken into account when developing strength training programs for volleyball players are established, including functionality, individualization and complexity of training. The effectiveness of the developed strength training program for volleyball players has been experimentally proven. The article presents the results of specific studies that confirm the positive effect of strength training on the physical fitness of volleyball players. Conducted pedagogical testing of physical fitness of volleyball players at the beginning, in the middle and at the end of the season made it possible to obtain indicators of speed (running 6 and 20 m from a high start), dexterity and general endurance (shuttle run 4x9 s and the Cooper test), speed and strength qualities (jump in height), forces (static dynamometry), which had statistically significant changes (p<0.05). The results of the study proved that volleyball players significantly improved their level of physical fitness after training according to the proposed program. The results of the study can be used to optimize the process of physical training, training loads of volleyball players, improve their physical qualities and improve motor actions. The results of the study can be used by coaches when working with students who play volleyball at the university. The proven program of strength training can also be used as a basis for the development of experimental programs of physical training in volleyball.
Podstawy dogmatyczno-prawne zarządu intencjami mszalnymi przez prawodawcę partykularnego
Authors: Kasperowicz Paweł
Published: February 2024

Benedykt XVI wyróżnia munus i potestas jako pojęcia użyteczne w zrozumieniu władzy biskupa diecezjalnego. O ile pojęcie potestas znaduje swoje korzenie w rzymskim prawie jurysdykcji, o tyle terminologia munus jest stosunkowo nowa, gdyż wywodzi się od teologii Dietricha von Hildebrand, który wyróżnił munus sanctificandi, munus docendi i munus regendi. Biskup, jak zwrócił uwagę papież Benedykt XVI poprzez świecenia biskupie ma udział w munus, ale nie równa się to jeszcze potestas, stąd tylko biskup diecezjalny będący nie tylko w communio, ale w communio hierarchica z Kościołem katolickim cieszy się władzą ustawodawczą, którą sprawuje bezpośrednio, jednak w przypadku sprawowania świętej władzy sakramentów może to uczynić poprzez świętych szafarzy, a w przypadku władzy wykonawczej również poprzez wiernych świeckich, na podstawie missio canonica. Znajduje to swoje konkretne przełożenie w zarządzie intencjami i ofiarami mszalnymi w diecezji.
Neural Networks for Environmental Monitoring: A Web Application for Image Recognition
Authors: Bernatska Nataliya , Dzhumelia Elvira , Typilo Iryna , Kochan Orest , Salamon Ivan
Published: February 2024

Environmental monitoring is increasingly reliant on image recognition through neural networks, automating the identification and classification of environmental threats. This automation optimizes resource allocation, enhances monitoring accuracy, and empowers researchers to address climate-related challenges. In response to this, we present a web application built using React.js and TensorFlow.js, which enables real-time image recognition. This application facilitates tasks ranging from climate analysis to disaster response and wildlife conservation, offering valuable insights into environmental trends. Moreover, it engages the public, promotes awareness, and contributes to conservation efforts, making it a versatile and cost-effective tool for environmental monitoring. The application leverages advancements in image recognition technology, availability of datasets, open-source frameworks, and cloud computing infrastructure. It supports a wide range of applications, promotes global collaboration, and ensures data security. While challenges exist, the potential of neural networks in environmental monitoring is promising. The web application combines the power of React.js and artificial neural networks, enhancing environmental monitoring efficacy and fostering sustainable practices on a global scale. Ongoing research and standardization efforts are essential for refining and expanding this approach.
Application and Development Research of Artificial Intelligence Technology in the Field of Transportation
Authors: Hu Xiaoyi
Published: February 2024

Artificial intelligence technology is a new technological engine of a new round of science and technology and industrial revolution. After more than 60 years of development, it has gradually moved from technology to application, and will soon become a modern science that changes human economy and society. At present, the most popular branch technology of artificial intelligence is deep learning. Starting from the research content and application fields of artificial intelligence, this paper summarizes the basic model of artificial intelligence – neuron model, and then discusses the main application fields of artificial intelligence. In the field of transportation, the current research scope is wide, and the research depth is deep in the field of unmanned driving technology. Through sensing, decision-making, mapping and vehicle networking technologies, autonomous driving realizes fully autonomous driving of vehicles, providing significant technical support for improving the efficiency of transportation and ensuring safety.
Risk Analysis and Evaluation of Cross-Border Supply Chain of Overseas Engineering Projects Based on PEST-RS-SVM Driven by “Belt and Road” Trade
Authors: Zhang Lei
Published: February 2024

Driven by the “One Belt and One Road” trade, overseas engineering projects have become the embodiment of cooperation with countries along the “One Belt and One Road”, thus bringing frequent material exchange of cross-border supply chains among countries. In order to achieve smooth and rapid development of cross-border supply chain, reduce risks and strengthen control, it is necessary to screen the risk factors of cross-border supply chain, establish a system and make correct and reasonable evaluation. In this paper, PEST method is adopted to analyze the risk factors of external cross-border supply chain of energy enterprises under the background of “One Belt and One Road”, and corresponding evaluation index system is established. The risk evaluation model of external cross-border supply chain was established by combining the rough set theory and support vector mechanism, and the risk evaluation model of phoenix risk was used to comprehensively evaluate the risk of cross-border supply chain along the “Belt and Road”, and corresponding countermeasures were put forward.
Analysis of Psychological Health Data for College Students Based on Data Mining
Authors: Jin Qin
Published: February 2024

The backlog of pressure from multiple parties has led to a variety of psychological problems and has also led to many irreparable tragedies. It is very important for college student management to pay attention to the mental health problems of college students, and to discover and guide the mental health development of college students in time. This paper uses data mining technology to set up a questionnaire with 90 questions reflecting mental health as a sample. Using the “SCL-90 Symptom Self-Rating Scale” as the evaluation standard, data were collected, a data set was established, and data analysis was carried out, so as to detect and adjust psychological problems in time and avoid the aggravation of problems and lead to suicide and other irreversible problems.
High-Quality Development of Wuhan Deeply Integrated into the “Belt and Road”
Authors: Xiong Wenjie , Zhang Yanni , Ye Lei
Published: February 2024

Focusing on the high-quality development of the Belt and Road in Wuhan in the future, this paper makes an in-depth analysis of the current situation and conditions and uses the experience of the development of brother cities for reference to determine the measurement indicators of the efficiency and effectiveness of the high-quality development of the Belt and Road in Wuhan. In the study, the evaluation system of the efficiency and effectiveness of high-quality development of Wuhan integrated into the “the Belt and Road” was constructed, and the evaluation model of high-quality development of Wuhan was designed. At the same time, the weight of evaluation indicators was determined using Analytic Hierarchy Process, and the fuzzy comprehensive evaluation method was used to evaluate the high-quality development level of Wuhan. Targeted countermeasures and suggestions were proposed to provide suggestions for the development of Wuhan.
Optimization Path of College Network Classroom in Teaching Practice in Post-Epidemic Era
Authors: Su Lifang , Gu Xixi
Published: February 2024

The rapid development of Internet technology provides technical support for online classroom. Since the COVID-19, online classroom has been widely promoted and integrated with traditional classroom. However, the practice of online classroom in China is short and the experience is not yet rich. Through the survey of online classroom use and satisfaction of college students, it is found that the evaluation of online classroom is mixed. It is mainly attributed to students’ learning attitude, outdated teaching methods of teachers, imperfect teaching management and other problems. To solve these three problems, we should increase the publicity of online classroom to correct students’ learning attitude. Teachers should use network technology resources to realize the diversification of teaching methods, and schools should use multiple evaluation to improve teaching supervision, so as to promote the high-quality development of online classroom.
Exploration and Practice of Road Engineering Course Teaching Innovation Based on IOPM
Authors: Shang Jie , Jiang Ting , Ibrahim Ahmad Nazrul Hakimi , Pang Yanzhi
Published: February 2024

In response to the problems in talent cultivation and curriculum teaching, this paper analyzes the pain points in the current situation of curriculum teaching – traditional “teaching” and traditional “learning” teaching, including textbook writing, teaching objectives, teaching organization, and teaching evaluation; An analysis was conducted on students’ learning methods, motivation, and goals. We have proposed a breakthrough in traditional innovative concepts and ideas, as well as an implementation path – IOPM, which is guided by ideological education, output-based education, project-based learning, and a multi-dimensional evaluation index system. The application of the IOPM model in teaching practice has verified the feasibility and promotion value of this teaching innovation path. Reflected on the weak points in teaching innovation practice and proposed prospects for continuously promoting teaching innovation.
Methodological Aspects of Teachers’ Work in the Electronic Information Educational Environment
Authors: Mutovkina Nataliya , Gusarov Andrey , Ding Shiliang
Published: February 2024

Currently, it is becoming more and more relevant not just the use of information technologies in the educational process, but the conduct of the educational process in a specially designed electronic information educational environment. As practice shows, not all teachers use such a practice for conducting the educational process. Many teachers still prefer to teach classes according to the traditional classroom system. And there are good reasons for this. This article discusses the method of activating the interest and motivation of teachers for the use of electronic information educational environment in their professional activities. The method is to organize and conducting a refresher course “The work of a teacher in the electronic information environment of an educational organization of higher education”. The article provides a brief review of the structure and content of this course, an analysis of the effectiveness of the course based on a survey of students who have completed training. According to the results of the study, measures aimed at activating the interest of teachers in using electronic information educational environment are proposed. The study was conducted at Tver State Technical University. The practical significance of the research is to gain experience in the development and implementation of training courses on the use of electronic information educational environment in the educational process. The authors determined the optimal structure of the course, the content and conducted a statistical assessment of its effectiveness. The effectiveness of the course was determined based on the calculation of the proportion of listeners who, after completing the course, practice remote technologies in their teaching activities, in particular, work in an electronic information educational environment. The scientific novelty is the application of the author’s method for developing the course and its application as a special tool for activating the demand for distance learning technologies.
The Application of OBE Teaching Mode in the Innovation of Management Accounting Curriculum
Authors: Li Jing
Published: February 2024

With the popularization of internet technology, new opportunities are provided for OBE (Outcome Based Education) teaching reform. Based on the analysis of the characteristics of the management accounting course, combined with prolonged teaching experience and in-depth interviews with students, in view of four dimensions and eighteen output points to cultivate Culture, Thinking, Knowledge and Practical of students, carries out PBL oriented teaching content reconstruction, exploring teaching design based on internet, expands multi-dimensional teaching evaluation models, and combines the subtle influence of ideological design, integrating continuous curriculum innovation reform, to achieve the goal of multi-point resonance and all-round interactive teaching.
Three-stage multi-modal multi-objective differential evolution algorithm for vehicle routing problem with time windows
Authors: Zhang Hai-Fei , Ge Hong-Wei , Li Ting , Su ShuZhi , Tong YuBing
Published: February 2024

In this paper, the mathematical model of Vehicle Routing Problem with Time Windows (VRPTW) is established based on the directed graph, and a 3-stage multi-modal multi-objective differential evolution algorithm (3S-MMDEA) is proposed. In the first stage, in order to expand the range of individuals to be selected, a generalized opposition-based learning (GOBL) strategy is used to generate a reverse population. In the second stage, a search strategy of reachable distribution area is proposed, which divides the population with the selected individual as the center point to improve the convergence of the solution set. In the third stage, an improved individual variation strategy is proposed to legalize the mutant individuals, so that the individual after variation still falls within the range of the population, further improving the diversity of individuals to ensure the diversity of the solution set. Based on the synergy of the above three stages of strategies, the diversity of individuals is ensured, so as to improve the diversity of solution sets, and multiple equivalent optimal paths are obtained to meet the planning needs of different decision-makers. Finally, the performance of the proposed method is evaluated on the standard benchmark datasets of the problem. The experimental results show that the proposed 3S-MMDEA can improve the efficiency of logistics distribution and obtain multiple equivalent optimal paths. The method achieves good performance, superior to the most advanced VRPTW solution methods, and has great potential in practical projects.
Aggregation operators-based divergence measures for single-valued neutrosophic sets with their applications to pattern recognition
Authors: Singh Surender , Sharma Sonam
Published: February 2024

A Single-valued neutrosophic set (SVNS) has recently been explored as a comprehensive tool to assess uncertain information due to varied human cognition. This notion stretches the domain of application of the classical fuzzy set and its extended versions. Various comparison measures based on SVNSs like distance measure, similarity measure, and, divergence measure have practical significance in the study of clustering analysis, pattern recognition, machine learning, and computer vision-related problems. Existing measures have some drawbacks in terms of precision and exclusion of information and produce unreasonable results in categorization problems. In this paper, we propose a generic method to define new divergence measures based on common aggregation operators and discuss some algebraic properties of the proposed divergence measures. To further appreciate the proposed divergence measures, their application to pattern recognition has been investigated in conjunction with the prominent existing comparison measures based on SVNSs. The comparative assessment sensitivity analysis of the proposed measures establishes their edge over the existing ones because of appropriate classification results.
Approximation of the functional equation I(x, I(x, y)) = I(x, y)
Authors: Dai Songsong
Published: February 2024

The well-known iterative boolean-like law a →(a → b) = a → b can be generalized to the functional equation I(x, I(x, y)) = I(x, y), where I is a fuzzy implication. In this paper, we discuss an approximation of the equation, I(x, I(x, y)) ≈ I(x, y), i.e., the law is approximately valid. Furthermore, we study the property of approximation preserving with respect to compositions of fuzzy implications. Finally, we give a necessary condition and a sufficient condition for the approximate equation of (S, N)-implications.
A new driving style recognition method for personalized adaptive cruise control to enhance vehicle personalization
Authors: Wu Chengding , Xu Zhaoping , Liu Liang , Yang Tao
Published: February 2024

There are limitations of personalization in Advanced Driver Assistance Systems (ADAS) that have a serious impact on driver acceptance and satisfaction. This study investigates driving style recognition method to achieve personalization of longitudinal driving behavior. Currently, driving style recognition algorithms for Personalized Adaptive Cruise Control (PACC) rely on integrated recognition. However, disturbances in the driving cycle may lead to changes in a driver’s integrated driving style. Therefore, the integrated driving style cannot accurately and comprehensively reflect the driver’s driving style. To solve this problem, a new driving style recognition method for PACC is proposed, which considers integrated driving style and driving cycle. Firstly, the method calculates the constructed feature parameters of driving cycle and style, and then reduces the dimensionality of the feature parameter matrix by principal component analysis (PCA). Secondly, a two-stage clustering algorithm with self-organizing mapping networks and K-means clustering (SOM-K-means) is used to obtain the type labels. Then, a transient recognition model based on random forest (RF) is established and the hyperparameters of this model are optimized by sparrow search algorithm (SSA). Based on this, a comprehensive driving style recognition model is established using analytic hierarchy process (AHP). Finally, the validity of the proposed method is verified by a natural dataset. The method incorporates the driving cycle into driving style recognition and provides guidance for improving the personalization of adaptive cruise control system.
Imbalance data: The application of RUS FCM K-RBFNN Smote with XGBoost in the elderly well-being identification
Authors: Liu Gan , Qi Guirong , Wan Sanyu
Published: February 2024

Imbalanced data is a serious binary classification difficulty in forecasting the well-being of the elderly. This paper improves the Smote algorithm from the algorithm and sample dimensions to tackle the issue of imbalanced distribution of questionnaire data. The k-means Smote is combined with RBFNN as K-RBFNN Smote in the algorithm dimension and add FCM link to resample the minority set in the sample dimension as FCM K-RBFNN Smote. In order to improve the generalization of models, the RUS module is added to the algorithm. Experiments are carried out on four improved Smote technologies and two existing Smote technologies combined with XGBoost, which is superior than the other five conventional classification models. The experimental results indicate that the performance order is RUS FCM K-RBFNN Smote > K-RBFNN Smote > FCM K-RBFNN Smote > RUS K-RBFNN Smote > K-Means Smote > FCM Smote. The RUS FCM K-RBFNN method has been identified as the optimal approach for enhancing performance, resulting in a 98.58% accuracy rate. In conclusion, Smote algorithm undergoes the implementation of K-RBFNN shows greater performance and the enhancement of FCM and RUS relies on the structure of sampling.
Android malware detection framework based on sensitive opcodes and deep reinforcement learning
Authors: Yang Jiyun , Gui Can
Published: February 2024

Malware attack is a growing problem on the Android mobile platform due to its popularity and openness. Although numerous malware detection approaches have been proposed, it still remains challenging for malware detection due to a large amount of constantly mutating apps. The opcode, as the most fundamental part of Android app, possesses good resistance against obfuscation and Android version updates. Due to the large number of opcodes, most opcode-based methods employ statistical-based feature selection, which disrupts the correlation and semantic information among opcodes. In this paper, we propose an Android malware detection framework based on sensitive opcodes and deep reinforcement learning. Firstly, we extract sensitive opcode fragments based on sensitive elements and then encode the features using n-gram. Next, we use deep reinforcement learning to select the optimal subset of features. During the process of handling opcodes, we focus on preserving semantic information and the correlation among opcodes. Finally, our experimental results show an accuracy of 0.9670 by using the 25 opcode features we obtained.
RETRACTED: Improving power cable partial discharge pattern recognition through gustafson-kessel fuzzy clustering techniques
Authors: Chen Hongan , Zhang Zongfu , Luo Qingjia , Chen Rongbin , Zhao Yang
Published: February 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Robustness test-time augmentation via learnable aggregation and anomaly detection
Authors: Xiong Haoyu , Yang Leixin , Fang Gang , Li Junwei , Xiang Yu , Zhang Yaping
Published: February 2024

Test-time augmentation (TTA) has become a widely adopted technique in the computer vision field, which can improve the prediction performance of models by aggregating the predictions of multiple augmented test samples without additional training or hyperparameter tuning. While previous research has demonstrated the effectiveness of TTA in visual tasks, its application in natural language processing (NLP) tasks remains challenging due to complexities such as varying text lengths, discretization of word elements, and missing word elements. These unfavorable factors make it difficult to preserve the label invariance of the standard TTA method for augmented text samples. Therefore, this paper proposes a novel TTA technique called Defy, which combines nearest-neighbor anomaly detection algorithm and an adaptive weighting network architecture with a bidirectional KL divergence entropy regularization term between the original sample and the aggregated sample, to encourage the model to make more consistent and reliable predictions for various augmented samples. Additionally, by comparing with Defy, the paper further explores the problem that common TTA methods may impair the semantic meaning of the text during augmentation, leading to a shift in the model’s prediction results from correct to corrupt. Extensive experimental results demonstrate that Defy consistently outperforms existing TTA methods in various text classification tasks and brings consistent improvements across different mainstream models.
Monkeypox disease recognition model based on improved SE-InceptionV3
Authors: Chen Junzhuo , Lu Zonghan , Kang Shitong
Published: February 2024

In the wake of the global spread of monkeypox, accurate disease recognition has become crucial. This study introduces an improved SE-InceptionV3 model, embedding the SENet module and incorporating L2 regularization into the InceptionV3 framework to enhance monkeypox disease detection. Utilizing the Kaggle monkeypox dataset, which includes images of monkeypox and similar skin conditions, our model demonstrates a noteworthy accuracy of 96.71% on the test set, outperforming conventional methods and deep learning models. The SENet module’s channel attention mechanism significantly elevates feature representation, while L2 regularization ensures robust generalization. Extensive experiments validate the model’s superiority in precision, recall, and F1 score, highlighting its effectiveness in differentiating monkeypox lesions in diverse and complex cases. The study not only provides insights into the application of advanced CNN architectures in medical diagnostics but also opens avenues for further research in model optimization and hyperparameter tuning for enhanced disease recognition.
Facilitators and barriers of pre-employment transition services implementation: Preliminary findings and recommendations
Authors: Lau Stephanie J. , McKelvey Susan , Gokita Tonya , Ramsey Hannah , Mosley Dawn
Published: February 2024

BACKGROUND: Employment rates for people with disabilities have only slightly changed since the passage of WIOA. As possible reauthorization nears, it is necessary to reassess the provision and coordination of pre-employment transition services (Pre-ETS) to increase employment outcomes for students with disabilities. OBJECTIVE: This article identifies facilitators and barriers to Pre-ETS implementation and provides practical recommendations to align with the original intent of WIOA. METHOD: Researchers used independent samples t-tests to analyze 56 students’ pre and post-test quiz scores following Pre-ETS lessons. Researchers then employed qualitative thematic analysis of research artifacts collected during one phase of a three-year study to gather data on instructors’ experiences of facilitating Pre-ETS services. RESULTS: Results reveal higher student quiz scores reported with a small effect demonstrating increased student knowledge in job exploration (d = 0.312) and workplace readiness (d = 0.275). In addition, five qualitative themes emerged including silos, performative technology, career alienation, absenteeism, and instructional autonomy. CONCLUSION: Findings show increased student knowledge in job exploration and workplace readiness. The study also identifies 1) family engagement, interagency collaboration, and technology as possible barriers to Pre-ETS implementation while 2) instructor autonomy acted as a potential facilitator. Recommendations suggest personnel preparation and training of educators and VR professionals to support improved collaboration.
Strategy adaptive system to learning processes for emerging serious games using a fuzzy classifier system
Authors: Aguilar Jose , Díaz Francisco , Pinto Angel , Perez Nelson
Published: February 2024

An emerging serious game (ESG) is a game that unfolds autonomously without explicit laws, adapting to the player, where the player learns while playing. An ESG engine must enable the emergence in the game, in order to allow its adaptation to the specific environment where it is being used. In previous articles, different components of an ESG engine have been proposed. This paper proposes a strategy adaptive system (SAS) for ESG, which allows the emergence of strategies in a videogame. Particularly, SAS manages the emergence of new procedures or methods (tactics), as well as actions (logistics), among other things, in the ESG, to adapt it to the environment. This component is based on a Fuzzy Classifier System that generates new rules, tactics, etc. in the game to follow the desired behavior. In this article, SAS is applied in a smart classroom (SaCI, for its acronym in Spanish), in such a way that allows the adaptation of an ESG to the students in SaCI. Especially, it is used during their teaching-learning processes. Additionally, this paper analyzes the performance of SAS in SaCI, with very encouraging results, since the quality of the strategies proposed by SAS (defined by rules that define the logic and tactics of the game) is improved in all case studies. This improvement is confirmed because the average use of the rules generated by our adaptive system is greater than 3.6, when the initial rules are used on average less than once.
Sarcopenia screening of community-dwelling individuals aged 65 and over within the primary care setting
Authors: Moore Doreen , Gallagher Jackie
Published: February 2024

BACKGROUND: The term sarcopenia, referring to declining function with age, has no universally agreed definition. Sarcopenia develops from multifactorial interactions, resulting in health problems such as frailty and increased falls risk; and for which screening may enable timely intervention. As sarcopenia screening equipment recommended by The European Working Group on Sarcopenia in Older People (EWGSOP2) is not always available in primary care, alternate screening strategies are needed. OBJECTIVE: To investigate the efficacy of the SARC-CalF questionnaire for sarcopenia screening in primary care and agreement between SARC-CalF and SARC-F questionnaires, with EWGSOP2 cut-off values. METHODS: Fifty community-dwelling adults aged 65yrs and over completed the SARC-CalF and EWGSOP2 strength and physical performance outcome measures. Calculations for probability of sarcopenia and skeletal muscle mass were completed. Agreement between operational definitions and outcome measures were assessed to establish screening accuracy. RESULTS: Prevalence of probable sarcopenia ranged from 10–48% depending on outcome measure; SARC-CalF increased prevalence by 55% compared to SARC-F. Questionnaires agreed more strongly with probable sarcopenia as measured by leg than grip strength. Gait speed agreed significantly with strength and physical performance measures. CONCLUSIONS: In community-dwelling adults aged 65yrs and over, outcome measure used influenced rates of probable sarcopenia. Within primary care, equations may enable assessment of muscle mass, while formulae may enable assessment of the probability of sarcopenia. Gait speed is recommended for quantification of sarcopenia severity.
How to create and use a national cross-domain ontology and data infrastructure on the Semantic Web
Authors: Hyvönen Eero
Published: February 2024

This paper presents a model and lessons learned for creating a cross-domain national ontology and Linked (Open) Data (LOD) infrastructure. The idea is to extend the global, domain agnostic “layer cake model” underlying the Semantic Web with domain specific and local features needed in applications. To test and demonstrate the infrastructure, a series of LOD services and portals in use have been created in 2002–2023 that cover a wide range of application domains. They have attracted millions of users in total suggesting feasibility of the proposed model. This line of research and development is unique due to its systematic national level nature and long time span of over twenty years.
Analysis of the association between high workload and musculoskeletal pain in public school teachers according to physical activity level
Authors: Furuta Debora T. , Tebar William R. , Beretta Victor S. , Tebar Fernanda Gil , de Carvalho Augusto C. , Leoci Isabella C. , Delfino Leandro D. , Ferrari Gerson , Silva Claudiele C.M. , Christofaro Diego G.D.
Published: February 2024

BACKGROUND: A high workload has been associated with musculoskeletal pain in public school teachers. However, the hypothesis of the present study was that physical activity (PA) practice is able to attenuate this association. OBJECTIVE: To analyze the associations between high workload with musculoskeletal pain according to PA levels in public school teachers. METHODS: Teachers (n = 239) from 13 public schools were evaluated. Workload was assessed using a Likert scale in which teachers reported their perception of their work routine as: very low, low, regular, high, and very high. Musculoskeletal pain and PA were assessed using questionnaires. Multivariate logistic regression models were used to investigate the association of high workload with PA levels and musculoskeletal pain in different body regions, compared to participants with normal workload, adjusted by sex, age, and socioeconomic status. RESULTS: A high workload was associated with higher chances of reporting pain in the wrists and hands (OR = 3.55; 95% CI = 1.27–9.89), knee (OR = 3.09; 95CI%  = 1.09–8.82), and feet and ankles (OR = 3.16; 95% CI = 1.03–9.76) in less active teachers. However, these associations were not observed in teachers considered more active. CONCLUSION: PA practice is able to act as a good protector against musculoskeletal pain in teachers, even in individuals with a high workload.
Maintaining Sustainable, Affordable, and Low-Cost Housing for Middle- and Low-Income Classes in Uganda
Authors: Deyganto Kanbiro Orkaido
Published: February 2024

This research article focuses on the challenges and strategies for maintaining sustainable, affordable, and low-cost housing for middle- and low-income classes in Uganda. The housing sector in Uganda faces numerous challenges, including high land prices, limited access to finance, and inadequate infrastructure. This article highlights the importance of providing affordable housing options for all income groups to promote inclusive sustainable development. The study also examines various policy interventions and best practices to ensure the availability of low-cost housing for the marginalized populations in Uganda.
Profunctor Optics, a Categorical Update
Authors: Clarke Bryce , Elkins Derek , Gibbons Jeremy , Loregian Fosco , Milewski Bartosz , Pillmore Emily , Román Mario
Published: February 2024

Optics are bidirectional data accessors that capture data transformation patterns such as accessing subfields or iterating over containers. Profunctor optics are a particular choice of representation supporting modularity, meaning that we can construct accessors for complex structures by combining simpler ones. Profunctor optics have previously been studied only in an unenriched and non-mixed setting, in which both directions of access are modelled in the same category. However, functional programming languages are arguably better described by enriched categories; and we have found that some structures in the literature are actually mixed optics, with access directions modelled in different categories. Our work generalizes a classic result by Pastro and Street on Tambara theory and uses it to describe mixed V-enriched profunctor optics and to endow them with V-category structure. We provide some original families of optics and derivations, including an elementary one for traversals. Finally, we discuss a Haskell implementation.
FACTORS AFFECTING THE SOCIAL RESPONSIBILITY DISCLOSURE PRACTICE ON GO PUBLIC MANUFACTURING COMPANIES
Authors: Nurmala Putri
Published: February 2024

This study examines four factors that influence the practice of corporate social and environmental disclosure. The purpose of this study was to determine the effect of company size, type of industry, profitability, and family firm toward the practice of corporate social and environmental disclosure. This research is a quantitative study. The sample of these study are 48 go public manufacturing companies in Indonesia Stock Exchange that have announced annual reports for 2009 - 2013. From these samples that can be processed are 25 manufacturing companies that have announced annual reports for 2009 - 2013. Results of this study stated that the size of the company (net sales), type of industry, profitability (ROA), and family firm have significant positive effect on social and environmental disclosure practices of the company. Finally, through this research is expected that go public manufacturing companies can improve the practice of corporate social and environmental disclosures.