bluuebunny/crossref_metadata_2025 huggingface dataset:
JUSTIFICATION OF THE DESIGN OF A 3D PRINTER EXTRUDER NOZZLE USING GRANULES AND CUT POLYMER PARTICLES AS INPUTS
Authors: POLISHCHUK Andrii , SKYBA Mykola ,   Khmelnytskyi National University
Published: January 2024

The article defines extrusion as a continuous process of converting a solid bulk polymer into a viscous state followed by pushing it through a molding tool. It is emphasized that extruders are one of the most promising types of equipment for processing polymer materials and are used in various industries, including 3D printing. Attention is focused on the fact that one of the important parts of each extrusion unit is the extrusion head. It is the main tool that determines the final shape of extruded products. It is emphasized that the extruder nozzle has a significant impact on the quality of 3D printing. Four parameters characterizing the nozzle are highlighted: its external size, internal structure, diameter of the hole for extruding the polymer, and the material from which it is made, and each is considered in detail. The main physical and mechanical properties of nozzles made of different materials are presented. A classification of nozzles was developed on the basis of the conducted review. The formula for determining the volumetric productivity of a 3D printer extruder is given, depending on the design of its dosing zone and nozzle resistance. An expression for determining the total resistance coefficient of the nozzle is given, which is defined as the sum of the resistance coefficients of individual geometrically simple sections of its internal structure. It is proposed to use in the extruder of a 3D printer that uses granules or crushed polymer particles as raw materials for the construction of nozzles for 3D printers that print with filament. With their use, a new nozzle design for screw extruders was developed and presented. Based on the analysis of the internal structure of nozzles for 3D printers that print with filament and forming devices of plastic processing equipment, the design of the extruder nozzle using a mandrel was developed and presented.
ВПЛИВ ТРИВОГИ ТА ТРИВОЖНОСТІ НА ЕМОЦІЙНИЙ СТАН ШКОЛЯРА
Authors: СУРГУНД Наталія , БАЛЯ Вікторія
Published: January 2024

За на основі теоретичного аналізу різноманітних сучасних психологічних джерел, у статті розглядаються власне поняття тривоги і тривожності. Відзначається, що тривога – це один із видів емоції і вона не завжди несе в собі щось негативне для людини.

Також у статті розглядається поняття тривожності, яка є індивідуальною рисою особистості, тобто це схильність до перебування у своєрідному емоційному стані, який супроводжується постійними та надмірними хвилюваннями.

У даній публікації розглядається також проблема шкільної тривожності, що представляє особистісне психологічне відображення взаємодії учня із різними компонентами навчального середовища, в якому знаходиться дитина. Якщо така взаємодія є негативною, вона має значний руйнівний вплив на психіку учня. Підліткам не тільки потрібно справлятися з пубертатним періодом, що несе в собі бурхливі зміни гормональних процесів, які обумовлюють часту зміну емоцій та відчуття нових почуттів, але й боротися з поглинаючою оточуючою тривогою, присутньою в їхньому житті. І все це негативно впливає не тільки на рівень освіти школярів, а й на формування школяра як особистості в суспільстві.
Celebrity endorsement theories: Review perspective
Authors: Veda Varsha Reddy Bogollu , Sathish Sathish Arumbi
Published: January 2024

The goal of this study is to examine existing theories in the field of celebrity endorsement and show how these theories can be used as a foundation for future research in this area. This article's theoretical framework takes a broad approach, aiming to bridge the gap between the efficacy of celebrity-endorsed advertisements and endorsement theory. A holistic theoretical framework is necessary to encompass the diverse landscape of celebrity endorsements seen in actual advertising campaigns. In terms of methodology, this article employs a qualitative approach to data collection and analysis, which is deemed appropriate for investigating the nuances of celebrity endorsement theories. This review's findings highlight the importance of five major celebrity endorsement theories, shedding light on their potential for shaping the future of research. This article adds value by synthesising existing knowledge and prior research, providing a concise overview of celebrity endorsement, and emphasising the critical role of the five major celebrity endorsement theories in paving the way for future research.
A bibliometric analysis – Green human resource management on green employee behavior
Authors: Amaliasita Mahsa , Rahayu Meika Kurnia Puji , Nuryakin
Published: January 2024

An analysis of the development of green human resource management and employee green behavior research publications was carried out between 2016 and 2023. Hence, this study aims to classify concepts or themes related to green human resource management and employee green behavior through descriptive analysis. A total of 224 articles indexed in Scopus were subjected to analysis using VOS viewer software, serving as a crucial tool in the visualization of the bibliometric network. This process involved the application of keyword filtering techniques. The analysis revealed that the 224 articles contain numerous concepts that could be categorized into eight clusters. The significance of this study lies in the discovery of a study concept for green human resource management and employee green behavior that will aid in the development of a conceptual framework for future research. The reviewed articles were only obtained from the Scopus database. Therefore, future research must use a comparative analysis approach as a different analytical strategy involving other databases such as Web of Sciences.
Management of waste and its impact on healthy living behavior: literature review
Authors: Yuniarti Elsa , Dewata Indang , Heldi
Published: January 2024

Health education has the potential to influence individuals receiving assistance to adopt healthier behaviors, such as managing environmental hygiene through waste management. This research aims to furnish insights for health education practitioners regarding the opportunities and challenges involved in enhancing education on healthy lifestyles, encompassing waste management. The study comprised a literature review conducted by searching Google Scholar using Publish or Perish (PoP) for publications between 2019 and 2023. A total of 31 pieces of literature were identified for analysis using the PRISMA method. The analysis categorized the literature into three groups: mentoring, outreach, and exploration, which were subsequently mapped using NVivo. The analysis outcomes revealed that research and community service works addressing waste management to promote a healthy lifestyle are primarily found in journals with lower accreditation, typically in the online accreditation range and SINTA 4 to 5. Additionally, the results underscored that socialization-related content dominated, followed by assistance-related content, with exploration being the least represented category. These findings suggest a deficiency in research studies or explorations focusing on waste management to promote healthy living. This realization presents both an opportunity and a challenge for health and environmental practitioners to intensify their efforts in studying health promotion through waste management.
Impact of tourism revenues and inflation on economic growth: An empirical study on GUAM countries
Authors: Sarkhanov Teymur , Baghirov Alig
Published: January 2024

The aim of this study is to investigate the relationship between tourism income, consumer price index (CPI), and GDP per capita in Georgia, Ukraine, Azerbaijan, and Moldova (GUAM). The study covers annual data for the period 1995-2019. The method of long-run evaluation of the Pedroni cointegration coefficient was used as a research method. The results showed that, in general, growth in tourism revenues has a positive effect on GDP per capita, while the effect of CPI is negative. Along with this, it was found that the relationship of variables in the GUAM countries is different. In Georgia, there is a statistically significant long-run effect between GDP per capita, tourism income, and CPI. It is estimated that the growth of tourism income increases GDP per capita in all countries. However, the effect of the CPI on GDP per capita in Georgia and Azerbaijan is positive, but in Moldova and Ukraine, it is negative.
Worldwide research history and trends on Blockchain applications in education: A bibliometric analysis, 2017-2022
Authors: Shuhaimi Joharri , Awang Hapini , Jafar Mohd Fairuz
Published: January 2024

Academic scholars have been studying Blockchain technology since 2017. As a result, the progression of this technology has drawn interest from researchers in various research fields, including education. Because of this tendency, it is imperative that the existing literature be thoroughly reviewed to assist researchers in identifying gaps for future studies. Thus, this study used bibliometric analysis to assess the current research trend on blockchain applications in education. This study compiled all published works on Blockchain in education as of January 8th, 2023, from the Scopus database. The data was integrated using Publish or Perish software, and data visualization was done using VOSviewer. Additionally, Microsoft Excel was used to analyze the data. Fifty-one documents were retrieved in total based on the search results. In particular, from 2018 to 2019, the growth rate of publications in educational Blockchain increased dramatically. Most of the publications were written in English and published in journals and conference proceedings. Computer science has dominated research on educational Blockchain, and most research was done in India. The analysis also revealed that the most commonly used terms, "blockchain" and "blockchain in education," correspond to the main areas of study that have been done on the educational Blockchain. Unfortunately, the assessment component has received very little attention from previous educational blockchain studies. In addition to outlining the development of the scientific literature on the subject, this study also highlights areas of current research interest and possible future research prospects.
Green marketing and corporate social responsibility: A review of business practices
Authors: Deshmukh Pooja , Tare Harshal
Published: January 2024

Corporate social responsibility (CSR) and green marketing are crucial for promoting ethical and sustainable company practices. This review article offers a thorough examination of the relationship between green marketing and CSR, examining the historical progression, theoretical foundations, and tactical ramifications of green marketing for various businesses. It emphasizes the difficulties of "greenwashing," the significance of transparency, and the necessity of striking a balance between business objectives and sustainability aims. The study clarifies how government regulations and incentives influence green marketing and corporate social responsibility (CSR) practices, highlighting the significance of legal frameworks, tax breaks, and public‒private partnerships. With an emphasis on new tactics, projected shifts in consumer needs, and prospective areas for further study and development, future trends and prospects in green marketing and CSR should be investigated. With an emphasis on consumer behavior, innovative sustainable packaging, and the effect of CSR on staff engagement, more research and collaboration are needed to develop green marketing and CSR practices. Businesses looking to maximize their positive impact and governments trying to create inclusive and successful sustainability legislation can both benefit from its insightful advice. We can all contribute to a greener and more socially responsible world by making sustainability a core value and encouraging cooperation.
An evaluation of suppliers' perception of the effectiveness of procurement system in the steel sector
Authors: Kokkiligadda Sita Ramanjaneyulu , Katta Rama Mohana Rao , Patro Chandra Sekhar , Jitta Mallikharjuna Rao
Published: January 2024

The procurement process plays a significant role in the materials management system of an organisation. It entails the planning and implementation of supply chains to satisfy the needs of an organisation so that required actions can be adopted for boosting the productivity of the materials team thereby increasing production. The steel sector faces challenges in adhering to procurement criteria, including tendering, evaluation, holding auctions among technically and commercially qualified bidders, and completing plant needs on time. The present study analyses the efficacy of the procurement system. The results indicate that the dimensions transparency, adaptability, ease of use, and grievance redressal are significantly associated while the timely payment is not significantly associated with the procurement system of the organisation. The findings of the study can enable the steel organisations to develop the necessary strategies for improving the procuring system.
Impact of wind loads on columns or the building's geometric center in high-rise and low-rise buildings
Authors: Lam Thanh Quang Khai
Published: January 2024

Wind loading significantly impacts a building's structural integrity and induces substantial displacements, particularly at higher levels. Investigating these effects presents a challenging area of research. This study delves into the impact of wind loads on columns within the frame versus loads applied to the building's geometric center. It explores how these variations influence bending moment, shear force, and axial force at the column base in the structural frame. Additionally, it examines horizontal displacements across different floors in two buildings: one with seven floors and another with twenty-five. In the context of designing high or low-rise structures, allocating wind loads to the building's geometric center ensures a more secure structure compared to applying these loads solely to the columns of the frame. These conclusions derive from extensive research conducted. In the seven-story building, Case 2 exhibits a 406% increase compared to Case 1 in Q2-2. Moreover, Q3-3 shows a 107% rise, M2-2 a 203% increase, and M3-3 a 389% elevation. Notably, the largest displacement, measuring 561%, occurs at the 6th floor. In the twenty-five-story building, Case 4 surpasses Case 3 and Q3-3 by 366% and demonstrates a striking 1585% increase compared to M2-2.
Human responsibilities of investigative journalists in the digital age
Authors: Almabrouk Khalil , Adnan Hamedi
Published: January 2024

The rapid development of information and communication technology has resulted in the disappearance of many professions globally, particularly as machines have nearly supplanted humans across various job sectors, including journalism and media. Investigative journalism (IJ) stands as a significant domain impacted by the age of digitization, marked by the surge in open information sources, remote communication technologies, data leaks, and the emergence of programs and applications capable of processing information faster, more accurately, and at a lower cost than human labor. Consequently, this has led to successive waves of employee dismissals in information production sectors, causing journalists and information workers to grapple with anxiety concerning the stability and security of their professional future. This study aimed to investigate the responsibilities and tasks that human journalists can still effectively fulfill within the realm of IJ amidst the advancements in information and communication technology. Through a qualitative approach, in-depth email interviews were conducted with nine journalists specializing in IJ, employing thematic coding analysis. The findings revealed five areas in which human journalists can outperform machines in conducting IJ, including decision-making, storytelling, report planning, information and data analysis, and investigation direction. Moreover, the study proposed five essential measures to safeguard the human role in investigative reporting. These measures encompassed journalist training initiatives, a focus on younger cohorts, the implementation of paid experimental work, the establishment of dedicated pathways for investigative work within press institutions, and the amplification of competitions and awards centered on IJ.
Horizontal displacement of high-rise buildings with and without basement shear walls
Authors: Do Thi My Dung
Published: January 2024

Without rigid basement shear walls, high-rise buildings will be weaker, especially when subjected to earthquakes, water, and ground pressure. Designing a basement-filled building increases its rigidity. Research must also analyze basements without shear walls in some buildings. In this paper, the author analyzes the modeling of high-rise buildings and the impact of solid basement shear walls on the top displacement of the building. The study compares buildings with and without solid basement shear walls, considering both the same basement height and different basement heights. The research investigated the performance of the structural system, specifically focusing on the horizontal displacement at the top. Additionally, a numerical analysis was conducted using Etabs software to determine the bending moment, shear force, and axial force at the base of the column. This analysis was performed for a pair of cases: one with shear walls in the basement and another without. Furthermore, the study also considered differences in the height of the basement.
Pengembangan Media Pembelajaran E-Flashcard Untuk Meningkatkan Keterampilan Membaca Permulaan Peserta Didik Kelas 1 Sekolah Dasar
Authors: Cahyanti Nadila Resti , William Nanda , Nurmalasari Wahyu
Published: January 2024

The purpose of this research is to develop an E-Flashcard learning media to improve early reading skills. The focus of the study is to determine the early reading skills of first-grade students at SDN 1 Tamanan and SD Islam Al Badar, describe the design, validity, and explain the effectiveness of the E-Flashcard learning media in improving the early reading skills of first-grade students. The research method used is research and development (R&D) with the ADDIE development model. The data collection techniques used in this study are observation, interviews, media validation, content validation, practitioner validation, student response questionnaires, teacher response questionnaires, as well as pre-test and post-test instruments for oral early reading skills. Based on the t-test, a sig. (2-tailed) value of 0.00 was obtained for the pre-test and post-test. Meanwhile, the effectiveness test results (n-gain) obtained a mean n-gain value of 75.68, which is > 75. Therefore, it can be concluded that the use of E-Flashcard learning media is highly effective in improving the early reading skills of first-grade students in elementary schools.
Implementasi Pendidikan Karakter Profil Pelajar Pancasila dalam Kurikulum Merdeka Di SDN 1 Tombatu
Authors: Natalya Tirsa Mokorowu  , Deitje A.Katuuk  , Tarusu Deysti T. , Pangkey Richard D. H.
Published: January 2024

ABSTRACT

Character education is a demand that continues to be voiced in the world of education today, because it not only has an impact on individuals in developing their potential but also has an impact on institutions and even society in general. This research aims to find the implementation of Pancasila student profile character education in the Merdeka Curriculum at SDN 1 Tombatu. This research uses qualitative study research with a phenomenological approach, namely the researcher looks and hears more deeply about individual understandings and opinions about experiences related to the material used as a reference for the research. Data collection techniques use observation techniques and structured and unstructured interviews. The results obtained in the research at SDN 1 Tombatu were carried out in accordance with the six dimensions of the Pancasila Student Profile, namely faith and devotion to God Almighty and noble character, global diversity, mutual cooperation, independence, critical reasoning and creativity.
Systematic Literature Review (SLR): Development of Online Market Corner Learning Media for Fifth Grade Elementary School Students
Authors: Latifah Nasrul , Waspodo Tjipto Subroto  , Budi Purwoko
Published: January 2024

The aim of this research is to describe the use of Canva to design advertisements that will be marketed via social media in a learning context. The method used in this research uses a qualitative approach with a Systematic Literature Review (SLR) review, with five steps used from the seven existing steps, namely (1) Asking research questions; (2) Finding studies; (3) Critical evaluation of the study; (4) Data collection; and (5) Data analysis and reporting. Based on the study that the researchers have conducted, it is concluded that the use of Canva has a very important role for its users, so that Canva will be ideally needed as an alternative learning media for students so that they have sufficient creativity in designing advertisements that will be promoted via social media in science learning context.
Implementasi Model Realistic Mathematics Education (RME) Untuk Meningkatkan Kemampuan Critical Thinking Matematika Pada Siswa Kelas IV Sekolah Dasar
Authors: Ayu Anggreani  , Riduan Febriandi
Published: January 2024

The purpose of the research was to increase students' critical thinking skills in mathematics by applying the Realistic Mathematics Education (RME) model. The type of research method is Classroom Action Research (PTK) which is carried out in 2 cycles. Each cycle consists of planning, implementation, observation, and reflection. The subjects of classroom action research were fourth grade students of SD Negeri 34 Lubuklinggau totaling 19 students consisting of 10 female students and 9 male students. Data collection techniques using observation and tests. The result from this reasearch showed that by applying the Realistic Mathematics Education (RME) model can increase the ability of critical thinking mathematics students in fourth grade SD Negeri 34 Lubuklinggau. It can be seen from the increasing students' critical thinking skills in mathematics from the pre-cycle condition of 54%, cycle I of applying the Realistic Mathematics Education (RME) model for critical thinking skills of 69%, based on deficiencies in cycle I then followed up in cycle II, the results of critical thinking skills at this stage increased to 80.5%. It is concluded that the application of the Realistic Mathematics Education (RME) model can increase students' mathematical critical thinking skills in fourth grade SD Negeri 34 Lubuklinggau.
Peningkatan Hasil Belajar Peserta Didik Menggunakan Model Student Team Achievement Division (STAD) Pada Pembelajaran Tematik Terpadu di Kelas V
Authors: Annisa Al Khudry  , Mai Sri Lena
Published: January 2024

This research is motivated by the low learning outcomes of students, where more than half of the students get lower learning outcomes than the Minimum Learning Completeness (KBM) that has been set. Low learning outcomes are caused by a monotonous learning process, lack of innovation in learning media and models, and teacher-centered learning. To get more optimal learning outcomes, a cooperative learning model of Student Team Achievement Division type is used which is group-based, student-centered and trains students' critical thinking.  This study aims to describe the use of cooperative learning model type Student Team Achievement Division in improving the learning outcomes of fifth grade students. This research is a class action research consisting of two cycles. Cycle I consisted of 2 meetings and cycle II consisted of 1 meeting.  The data obtained were analyzed by quantitative and qualitative analysis. In the lesson plan assessment, there was an increase from 82.95% in cycle I to 93.18% in cycle II. In teacher activities and learner activities in cycle I, the results were 82.82% and 81.25% respectively and became 93.75% and 93.75% in cycle II. In cycle I, students' learning outcomes in integrated thematic learning obtained a score of 72.82 and became 83.22 in cycle II.
Measurement of Winter Air Infiltration and Its Impact on Energy Consumption in the Transportation Hub’s Transfer Hall
Authors: Yu Nan , Shen Zheng , Yuan Tiancheng , Zhou Bo , Li Kunxiao
Published: January 2024

Due to the necessity of transfer, the outer door of the transportation hub’s transfer hall is often kept open, resulting in significant cold air infiltration during the winter season, leading to increased heating energy consumption. This research utilized the air velocity measurement method, and air volume balance method to investigate the extent of cold air infiltration and indoor thermal comfort in a transportation hub transfer hall in Beijing during winter. The measured results indicated that during the winter test period, air permeability accounted for 57.6% of heat loss. Therefore, the cold air infiltration of the transfer hall in winter should be focused on.
Analytics for AI Related Applications of Multidimensional Multitape Finite Automata
Authors: Shoukourian Samvel , Grigoryan Tigran , Amirkhanyan Sevak
Published: January 2024

A special binary representation/coding of an element in a free partially commutative monoid initially introduced in 1980 has been successfully used as a basis for the effective/polynomial solution of the following long standing open problems: functional equivalence of program schemata with non-degenerate operators, equivalence of deterministic multitape finite automata (MFA), equivalence of deterministic multidimensional multitape finite automata (MMFA), regular expressions for MFA, systems of equations for MFA regular sets. In addition, the consideration of the coding leads to an alternative characterization of commutation classes in free partially commutative monoids, which, in comparison with the already known characterization implying from the projection lemma, brings to a better efficiency when checking the equality of traces with lengths longer than a certain number or with alphabets containing more than two symbols. Regular expressions for languages of MFA and MMFA are also defined based on the mentioned coding. A brief overview of relevant AI applications concludes considerations.
Green’s Function Associated with a Vertical Jump of a Person Using a Load Cell Platform
Authors: Casas E. Saucedo , Rodríguez Martin Gerardo , Velasco Javier Sandoval
Published: January 2024

The spring-mass system is a simple physics problem that has been widely discussed due to its importance and wide applications in different problems, particularly the waist-legs-feet system of a person could be represented by a spring-mass model, and the leap of a person can also be represented by the compression-release phenomena of the spring-mass system previously mentioned, this phenomenon is of great importance in different areas such as human health, and robotics. Thus, a model of damped spring-mass with a deformable load cell platform was used for getting a characteristic Green’s Function of a vertical jump of a person.
RCS Measurement on the Indoor Multiple Quiet-Zones Compact Range
Authors: Yang Jingxuan , Yuan Ji , Bai Yang , Liu Fang
Published: January 2024

Compact range is one of the most availability techniques to measure RCS indoor. Typical compact range has only one feed and one QZ. But offset and rotated feed can form another QZ. This paper is focus on this condition and simulated a novel model of double QZ compact range. A RCS measurement in multiple QZ is addressed and tested in a microwave chamber. It shows frequency division and accurate time-gate help to reduce the clutter form feed, the other QZ and chamber.
A Survey on the Applications of SIR Model in COVID-19
Authors: Wu Yanping , Fan Jiaqi , Du Shufeng
Published: January 2024

Since December 2019, COVID-19 has spread rapidly around the world. As an acute respiratory infectious disease, it has seriously affected people’s health and daily life. Currently, the prevention and control of COVID-19 is still very important. In this paper, literature was retrieved through PubMed, Wanfang Data Knowledge Service Platform and VIP Information Chinese Journal Service Platform. Starting from the hazards of COVID-19 and the application of current infectious disease transmission models, the application of SIR model in the transmission of COVID-19 was reviewed, and the influencing factors of COVID-19 transmission and corresponding prevention and control measures were analyzed, in order to provide more scientific and effective suggestions for the follow-up prevention and control of the epidemic.
A Decision Diagnosis Model Based on FCM-CBR Technology for Primary Headache
Authors: Wu Yanping , Du Shufeng
Published: January 2024

With the development of computer information technology, its application in the medical field has entered a new stage. More and more technologies and methods for clinical decision support have begun to be proposed. Headache, as a chronic disease, is a common symptom among patients in neurology clinics. Headache, as an external manifestation of pain disorders, its diagnosis researches using information technology on its complex diagnostic indicators and processes are limited. This paper aims to construct a hybrid intelligent data mining model of fuzzy C-means clustering algorithm and case-based reasoning technology for computer-aided diagnosis in typical and atypical primary headaches.
Information Security Protection Scheme of Multi Meter Integration System
Authors: Kong Juan , Shi Wen-Juan , Yang Bing , Zhang Jun-Quan , Li Shu-Xian
Published: January 2024

Relying on its mature and complete power consumption information collection system, and in collaboration with other energy service enterprises, State Grid Corporation of China has carried out research and verification of “water, gas, and heat” multi meter integrated information collection technology in multiple provinces and cities across the country in recent years. Due to the fact that the “water, gas, and heat” multi meter integrated reading system requires a large amount of data interaction with external systems through various interfaces, as well as data interaction with water, gas, and heat companies through Internet VPN channels, there is a risk of data leakage caused by external systems illegally intruding into the company’s internal systems through the Internet. To this end, with reference to the relevant regulations on information security protection of relevant business systems of the State Grid Corporation of China, the overall security protection architecture and specific security protection measures at various levels of the multi-meter integrated system are designed to maximize the security of relevant data of the multi-meter integrated reading system and the stable and reliable operation of the system.
Network Model Based on the Theory of the Strong Product Graphs
Authors: Yin Haoran , Li Feng , Qian Weimin
Published: January 2024

Strong product is an important and effective method for designing a large-scale interconnection network by using several small networks. The large network contains these small networks as its subnetworks and retains many good properties of these small networks. The fact that graphs are used to represent the topological structure of interconnection networks has been widely accepted and applied by computer science and engineering. Some topological structure parameters and properties of the large network constructed through strong product are closely related to that of factor networks. The main focus of this paper is to investigate the topological structure of the strong product graph factor graph, and deduce the topological structure of the strong product graph.
Design and Implementation of a Joint Simulation Test Platform Based on LVC
Authors: Xue Hao , Pan Jihui
Published: January 2024

Testing and appraisal are important links in evaluating the full lifecycle operation of unmanned systems, and are the last hurdle before entering the consumer market and military battlefield. They play a crucial role in improving the quality of unmanned systems. The performance assessment of traditional single system, single platform, and single equipment under standard conditions is no longer sufficient to meet the requirements of equipment development. Virtual experiments can make up for the shortcomings of physical experiments, improve the safety, efficiency, and effectiveness of testing and verification work, and have become a new form of experimentation that combines physical experiments. Firstly, an introduction is given to the real, virtual, and constructed LVC integrated simulation technology. Based on the requirement analysis of the LVC based weapon equipment joint simulation test platform, the basic composition and architecture of the platform are designed. Finally, the platform is implemented. The joint simulation test platform designed in this article can be used to combine resources of different scales according to the test purpose, thus achieving joint simulation tests at the unit level and system level of weapons and equipment.
Mitigating Position Bias with Regularization for Recommender Systems
Authors: Wang Hao
Published: January 2024

Fairness is a popular research topic in recent years. A research topic closely related to fairness is bias and debiasing. Among different types of bias problems, position bias is one of the most widely encountered symptoms. Position bias means that recommended items on top of the recommendation list has a higher likelihood to be clicked than items on bottom of the same list. To mitigate this problem, we propose to use regularization technique to reduce the bias effect. In the experiment section, we prove that our method is superior to other modern algorithms.
All-Optical Sequence Matching (AOSM) Enabled All-Optical Switching for Optical Data Center Networking
Authors: Li Xin , Shi Zicheng , Ruan Feiyang , Tang Ying , Xin Jingjie , Zhang Lu , Huang Shanguo
Published: January 2024

To realize fast, energy-efficient and large-capacity data communications among servers while accommodating different kinds of applications in data centers, various optical networking architectures such as OPTUNS, OPSquare, ROTOS, etc., have been proposed. These architectures require electric control which is used to realize optical channel establishment or optical packet routing. However, electric control has high implementation complexity and cost. It is expected to realize all-optical switching without any electric control. All-optical sequence matching (AOSM) technique which directly conducts the matching operation between target sequence and data sequence at the optical layer provides a new implementation idea for all-optical switch in data centers. In this letter, we design an AOSM enabled all-optical switch. It contains the function modules of optical packet recognition, optical packet filtering, optical packet aggregation, etc. The AOSM is realized by all-optical logic gates and is used to realize optical packet recognition. The proposed all-optical switch can help to realize all-optical switching without any electric control for optical data center networks. The feasibility of the proposed switch is verified by the software of VPItransmissionMaker.
Self-Supervised Sparse Direct Visual Odometry with Half-Geometric Correspondence Network
Authors: Zhang Tenglong , Li Qing , Zhou Miaosheng , Yu Fei
Published: January 2024

Current mainstream visual odometry method often suffers from tracking lost in low texture and motion blur scenarios due to fewer effective features and difficulty in getting stable matches. And feature matching process affects the overall real-time performance. For the fast localization task in low texture environments, this paper proposes an efficient self-supervised direct visual odometry framework based on keypoint extraction network, HGCN-VO. First we build the half-geometric correspondence network, HGCN, for fast extraction of robust keypoints in images. During training, we propose training method which uses basic shape elements to render generated simulated images with pseudo-labels as well as random homography transformations on real images for pre-training and migration learning and optimizing the keypoint loss from forward and reverse perspective transformed images. Finally we optimize the inter-frame position using a multilayer sparse direct method combined with bundle adjustment to improve the robustness of the method in low texture environments while increasing the processing speed. We evaluated the proposed method in KITTI, TUM, and challenging low-texture real-world scenarios and compared it with the current mainstream visual odometry methods, and the results show that the algorithm is sufficiently robust and accurate in low-texture environments and has a fast processing speed.
Tomography of nonlinear materials via the monotonicity principle
Authors: Mottola Vincenzo , Corbo Esposito Antonio , Piscitelli Gianpaolo , Tamburrino Antonello
Published: January 2024

In this paper we present a first non-iterative imaging method for nonlinear materials, based on Monotonicity Principle. Specifically, we deal with the inverse obstacle problem, where the aim is to retrieve a nonlinear anomaly embedded in linear known background. The Monotonicity Principle (MP) is a general property for various class of PDEs, that has recently generalized to nonlinear elliptic PDEs. Basically, it states a monotone relation between the point-wise value of the unknown material property and the boundary measurements. It is at the foundation of a class of non-iterative imaging methods, characterized by a very low execution time that makes them ideal candidates for real-time applications. In this work, we develop an inversion method that overcomes some of the peculiar difficulties in practical application of MP to imaging of nonlinear materials, preserving the feasibility for real-time applications. For the sake of clarity, we focus on a specific application, i.e. the Magnetostatic Permeability Tomography where the goal is retrieving the unknown (nonlinear) permeability by boundary measurements in DC operations. This choice is motivated by applications in the inspection of boxes and containers for security. Reconstructions from simulated data prove the effectiveness of the presented method.
Non-Motor Symptom Management: Insights into Adherence to Treatment Guidelines in Parkinson’s Disease Patients
Authors: Janz Carin , Timpka Jonathan , Rosqvist Kristina , Paul Gesine , Storch Alexander , Odin Per
Published: January 2024

Background:

Non-motor symptoms (NMS) reduce quality of life in Parkinson’s disease (PD) patients, who experience three times more NMS than individuals without PD. While there are international and national NMS treatment guidelines, their implication in clinical practice remains unclear.

Objective:

This study aimed to investigate the adherence to pharmacological NMS treatment guidelines in patients with mild to moderately severe PD.

Methods:

220 PD patients with ≥1 NMS based on the Non-Motor Symptom Questionnaire and a Hoehn and Yahr stage ≤4 were randomly selected from the Swedish Parkinson registry and screened for inclusion. NMS were evaluated using the International Parkinson and Movement Disorder Society–Non-Motor Rating Scale (MDS-NMS), Parkinson’s Disease Sleep Scale 2, Epworth Sleepiness Scale, and Hospital Anxiety and Depression Scale. Treatment was compared with Swedish national guidelines and international guidelines from the MDS Evidence-Based Medicine Committee.

Results:

Among 165 included patients, the median number of NMS was 14, and in median 7 symptoms were estimated to require treatment. The most common NMS requiring treatment were pain (69%) and urinary problems (56%). Treatment of depression and constipation demonstrated the highest adherence to guidelines (79% and 77%), while dysphagia and excessive daytime sleepiness exhibited the lowest adherence (0% and 4%). On average, only 32% of NMS were treated in accordance with guidelines.

Conclusions:

Adherence to pharmacological guidelines for NMS in patients with mild to severe PD was low. This study highlights the need for improved evaluation and treatment of NMS to enhance symptom management and quality of life among PD patients.
Normalization of the Suppression Head Impulse Test (SHIMP) and its correlation with the Head Impulse Test (HIMP) in healthy adults
Authors: Baran Suheda , Kirazli Gulce , Pistav Akmese Pelin , Celebisoy Nese , Kirazli Tayfun
Published: January 2024

OBJECTIVE: In our study, it was aimed to compare vestibulo-ocular reflex (VOR) gain and saccade parameters in HIMP and SHIMP tests between gender, right and left ears, and age groups in healthy adults and to examine the correlation between the tests regarding these parameters. METHODS: The study included a total of 100 healthy participants aged 18–65 and without complaints of hearing loss, dizziness, lightheadedness, and/or imbalance. Participants underwent HIMP and SHIMP tests, respectively. RESULTS: No significant difference was found in HIMP and SHIMP VOR gain values according to gender and age groups. SHIMP duration was significantly longer in women. VOR gain values were lower in the right ear. HIMP amplitude values were higher and SHIMP amplitude values were lower with increasing age. In older age groups, SHIMP peak velocity and duration values were significantly decreased, while HIMP duration value increased and latency value was longer. In the 1st saccade, a significant difference was obtained between HIMP and SHIMP tests for all saccade parameters. There was a statistically significant positive correlation between the VOR gain values of HIMP and SHIMP tests. CONCLUSIONS: The present study showed that VOR gain and saccade parameters obtained in different age groups will be important in determining clinical outcomes in vestibular pathologies.
MANAJEMEN HAJI DAN UMRAH DALAM PEMETAAN BIBLIOMETRIK
Authors: Mansyur Abdurrahman , Hudaya Nurul
Published: January 2024

This research aims to analyze research trends in the field of Hajj and Umrah management from researchers around the world. Through bibliometric analysis, this research provides an overview of research maps formed from keywords and important issues analyzed using the VOSviewer application. Data was obtained from the Dimensions.ai database, with the search keyword "Hajj and Umrah Management". The research results found that research on Hajj and Umrah management has increased every year. Writers from Indonesia and Arabic are the major contributors in this studies. The results of the cluster analysis found six theme clusters, cluster 1 discussed the theme of crowd management strategies. Cluster 2, regarding special service aspects for groups of Hajj and Umrah pilgrims. Cluster 3 shows a close relationship between the themes of the Ministry of Religion, Policy and Transparency. Cluster 4 underlines the issue of customer satisfaction, the role of related institutions and Umrah services in Indonesia. Meanwhile, cluster 5 groups issues regarding the application of technology, applications and information systems in Hajj management. And cluster 6, reflects the relationship between the COVID-19 Pandemic and Hajj and Umrah Management.
Real-time Sentiment Analysis from Data Streaming
Authors: Shivadekar Samit , Shahapure Ketan , Vibhute Shivam , Halem Milton
Published: January 2024

Public sentiment is a potent indicator of how people perceive and receive a topic. It has the power to make or break companies and people. Twitter is one of the best platforms in today’s generation to gauge public sentiment. [10] Utilizing the power and influence Twitter has we decided to create a service that would enable us to know how a trending topic is being viewed by the masses in real-time. The user gives the topic as input to the front-end graphical user interface that topic is then taken and fed to the Twitter streaming API. Tweets containing the hashtag of the topic mentioned by the user are returned and the sentiment of those tweets is predicted and sent to the front end where analysis prediction of the sentiment of the tweets is done dynamically as the tweets come in. By using our service for a few minutes the user will get to know what the overall outlook of a topic is and use that information as a guiding beacon for any future decisions regarding that topic.
Semiconductors in the Digital Age: Evolution, Challenges, and Geopolitical Implications
Authors: Ferreira Junior Cidrak Nunes , Redkva Paulo Eduardo , Sandrino Bianca
Published: January 2024

Semiconductor Industry, the Foundation of the Contemporary Technological Revolution, has been continuously evolving from the early transistors to today’s advanced microchips. Historically dominated by powers such as the United States, the last decade has witnessed the rise of Asia, especially China, as a vital center for production and research, reshaping the geopolitical balance of the sector. Driven by the growing demand for electronic devices and digitization, the industry faces challenges such as the recent chip shortage, exacerbated by the COVID-19 pandemic. However, emerging technologies like tunnel gate transistors, graphene, and resistive memory promise to further revolutionize the field. This narrative review provides a comprehensive analysis of the evolution of semiconductors, highlighting technological innovations, current challenges, and geopolitical implications, with a special focus on the intersection between economy and technology.
МЕТОДИЧНІ АСПЕКТИ ВИКЛАДАННЯ ДИСЦИПЛІН НА БАЗІ ГІС ДЛЯ НЕПРОФІЛЬНИХ СПЕЦІАЛЬНОСТЕЙ
Authors: Сологуб Юрiй , Безпала Ольга , Харченко Олена
Published: January 2024

Стаття присвячена аналізу можливостей використання геоінформаційних систем в навчальному процесі в рамках підготовки здобувачів непрофільних спеціальностей. Окреслено переваги та недоліки використання геоінформаційних систем в навчальному процесі. Наголошено на мультидисциплінарних властивостях геоінформаційних систем, що розкриваються у можливостях здобувачів проводити дослідницьку діяльність в рамках кількох навчальних курсів. Геоінформаційні системи відповідно до своїх функціональних можливостей та ліцензійних умов можна розділити на комерційні програмні комплекси та Open Source програмне забезпечення. Навчальні дисципліни на базі геоінформаційних систем для непрофільних спеціальностей структурно мають бути орієнтовані на: вивчення методики одержання та аналізу географічної інформації для формування баз геоданих; збирання просторової інформації та її класифікацію; побудову на основі проаналізованих геоданих просторових моделей; вивчення основ ГІС-картографування; аналіз функціональних можливостей геоінформаційних систем.