bluuebunny/crossref_metadata_2025 huggingface dataset:
Conversion of Sign Language to Text
Authors: Singh Mr. Kunal , Shahi Mr. Mayank , Gupta Mr. Nikhil
Published: May 2024

Abstract: Sign language is one of the oldest and most natural forms of language communication. These languages are essentially designed to support deaf people. However, since most people do not understand sign language and it is difficult to find an interpreter, we have developed a real-time method for fingerspelling using neural networks in sign language. In our approach, the hand first passes through the filter and, after applying the filter, passes through a classifier that predicts the gesture category. Our method provides higher accuracy for the 26 letters of the alphabe
Assessing the Effectiveness of Speed, Agility, and Quickness (SAQ) Training on Performance among Senior and Junior Female Kho-Kho Players in Mumbai Region
Authors: Akul Rahul
Published: May 2024

Abstract: This study examines the impact of an eight-week Speed, Agility, and Quickness (SAQ) training program on senior and junior female Kho-Kho players in Mumbai. Sixty players were evenly divided into experimental and control groups. Results show significant improvements in SAQ-trained players’ performance, including enhanced speed, agility, and quickness observed through reduced completion times in Kho-Kho drills. ANOVA analysis indicates statistically significant differences in performance between experimental and control groups across various parameters. SAQ-trained groups consistently outperformed controls in sprint times, agility test scores, and reaction times. For instance, seniors in the experimental group improved from a pre-training mean sprint time of 12.5 sec to 10.8 sec post-training, while juniors improved from 13.2 sec to 11.2 sec. In contrast, control group means remained relatively unchanged. Similarly, experimental groups exhibited substantial enhancement in agility test scores and reaction times compared to controls. Seniors’ agility scores increased from a pre-training mean of 18 points to 24 points post-training, and juniors’ scores improved from 16 points to 22 points. Reaction times for both senior and junior experimental groups decreased notably post-training, whereas control groups showed minimal change. These findings emphasize the significance of integrating SAQ training into the routine of female Kho-Kho players, regardless of their age or skill level. Such training interventions hold promise for augmenting players’ physical capabilities and overall performance, thereby bolstering their competitiveness in Kho-Kho tournaments.
Finite Element Analysis of Sandwich Plates with Different Percentages of Delamination
Authors: Pandey Kali
Published: May 2024

Abstract: The present study pinpoints the effect of delamination in multilayer glass fiber-reinforced composite slabs. The unit cell method of homogenization has been used to find the effect of air inclusion in the glass fiber-reinforced polymer composite. The natural frequency has been obtained up to different modes on every condition. The modal analysis module of ANSYS has been used to obtain the natural frequency for different boundary conditions The present study considered 0% to 10 % of total volume as delamination in four steps (0.5, 1.0, 5.0, and 10%). Two types of boundary were considered in the present study, in the first condition the plate is fixed from all four sides, the second two sides are assumed to be free, and the remaining two sides are fixed.
Design and Optimization of Disc Oil Skimmer
Authors: Kale Pramod
Published: May 2024

Abstract: Oil Spills are a common phenomenon in the oceans and seas causing economic loss as well as loss of aquatic life. Oil skimmers are devices used to separate the oil from water and recover it to the maximum extent possible. This project focuses on material selection for oil skimmer discs, considering corrosion resistance, wear characteristics, cost-efficiency, and environmental impact. It explores common materials such as polyurethane, oleophilic materials, stainless steel, PVC, and aluminum, emphasizing their unique properties and environmental implications. By conducting a thorough literature review and establishing stringent material selection criteria, the project aims to inform a material choice that balances technical requirements with environmental responsibility. The exploration of advanced materials and optimization of material design are also discussed. The project anticipates enhancing oil skimmer efficiency, reducing maintenance needs, and promoting sustainable practices in environmental protection. The project further includes building a prototype of a single disc oil skimmer and find an ideal diameter for efficient oil skimming taking into consideration the mass of the disc as well as the overall oil skimmer.
Optimization of Multi-Gate System in Casting Process Based on Experimental Study
Authors: Kathad Dhaval A , Kubavat Mitesh A , Dave Kankesh K
Published: May 2024

Abstract: This paper proposes a gating system design for casting process using an experimental study. The principle behind multi-gate system optimization is to eliminate defects such as compression gas inclusions, cold shorts and mixing etc. Industrial and research experience shows that the flow of molten metal in the gating system before entering the extraction cavity significantly influences the quality of the casting. In general, slow filling causes defects like cold shirt and mixing while fast filling causes inclusion of sand and causes defects like holes. A gating system consists of runners, sprue gates and filters. The position, number, size, and shape of these elements play an important role. A systematic methodology for gating design optimization considering filling rate maximization has been developed based on limiting constraints. These include pouring time, gating ratio, modulus of ingate, mold erosion, Reynolds number at ingate section and filling rate of molten metal. Molten metal kinematics viscosity similar to that of liquid water can be used to determine the fillings and flowrate of the molten metal in the mold cavity. Aluminum generally has the same kinematics as water. Thus the water flow can be studied by adding the necessary design improvements to the multi-gate system, from which it will be easier to detect defects and will be easier to detect defects and will greatly improve the overall casting quality
Design and Analysis of Water Distribution System Network for a Rural Area of Gujarat State by Using EPANET
Authors: Prajapati Mr. Hardik
Published: May 2024

Abstract: This study presents the use of EPANET software in the design of the water distribution network for Vadi village in Umarpada District, Gujarat State. The major purpose of providing a good distribution network is to provide sufficient pressure at each point with less loss. A water distribution network consists of pipes, tanks etc. EPANET software is simulation tool which is used for efficient distribution of water supply. For the analysis of existing water distribution system various data are required like, Main water source, Population of the area, Demand for water, Requirement of the pumps, Distribution Network, and water tanks. The Google Earth Image of Vadi village is downloaded and the elevation of a node, length of pipe was recorded for nearly 112 junctions and 114 pipes.
Fall Detection System for Elderly Care
Authors: Padmaja Dr C , Shravani B , Srivalli A , sony V Ujwala
Published: May 2024

Abstract: This project introduces a revolutionary Fall Detection System for Elderly Care, focusing on swift detection and immediate response to falls, particularly among wheelchair-bound seniors. In response to the escalating challenges posed by an aging population, Especially concerning the well-being of the elderly, the development of innovative solutions has become imperative. Central to these concerns is the prevalence of falls among seniors, which not only jeopardizes their physical health but also threatens their independence. Conventional fall detection methods have proven inadequate in providing timely assistance, underscoring the critical need for more advanced technologies. This project addresses this pressing need through the creation of a comprehensive Fall Detection System, with a specific focus on wheelchair-bound individuals. By seamlessly integrating state-of-the-art hardware and software components, the system aims to revolutionize elderly care by prioritizing safety and autonomy. At its core, the system utilizes the MPU6050 sensor module, renowned for its precision in monitoring body position and movement. Through the implementation of sophisticated algorithms, the software component meticulously analyzes real-time sensor data to swiftly detect falls. Upon detection of a fall event, the system autonomously triggers alerts to nearby healthcare services or designated contacts, ensuring a rapid response and timely provision of assistance to the elderly individual in need.
Moving Vehicle Number Plate Detection
Authors: Ghatol Ashwini
Published: May 2024

Abstract: The ability to detect and recognize vehicle license plates is a crucial task in various applications such as traffic management, law enforcement, and parking systems. In this project, we propose a system for moving vehicle license plate detection using image and video processing techniques. The system employs a combination of computer vision algorithms and machine learning models to accurately locate and recognize license plates from moving vehicles in real-time. The input images or video frames are preprocesses to enhance the regions containing license plates and reduce noise. This preprocessing step may include operations such as resizing, grayscale conversion, noise reduction, and contrast enhancement. Next, object detection algorithms such as Haar cascades or deep learning-based techniques like YOLO (You Only Look Once) are utilized to detect candidate regions in the image/frame that potentially contain license plates. After candidate regions are identified, a series of image processing techniques such as morphological operations, contour detection, and character segmentation are employed to isolate and extract the license plate characters. Machine learning models like Support Vector Machines (SVM), Convolutional Neural Networks (CNNs) are then applied to recognize the characters on the license plate.
Medication Recommendation System Using AI
Authors: Mohanty Rajinikanth
Published: May 2024

Abstract: In an era marked by the convergence of personal and technical facets of life, the need for a versatile and intelligent companion becomes increasingly apparent. This project introduces the development of a novel Chatbot, aptly named the "Personal and Technical Companion," designed to seamlessly integrate into users' lives by offering personalized support and technical assistance. The Chatbot employs state-of-the-art Natural Language Processing (NLP) techniques to engage users in natural language conversations, providing a unique blend of personal and technical guidance. The system architecture encompasses a user-friendly interface, a robust NLP engine for intent recognition, a dynamic backend server handling logic and personalization, and integration with external services to enrich the user experience. Simultaneously, it serves as a technical companion by offering code assistance, troubleshooting guidance, and recommending relevant learning resources. Implementation leverages cutting-edge technologies, including Python for backend logic, Flask for the server, TensorFlow for NLP processing, and HTML/CSS for the user interface.
Next-Gen Linguistic Intelligence Image Summarizer for Documents Using Attention Model
Authors: Elangovan Dr. Karthik
Published: May 2024

Abstract: The process of producing a succinct synopsis of a text involves two primary techniques: both abstractive and extractive While abstractive summarising rephrases text in a way that is more human-like, extractive summarization chooses important statements straight. handbook Because it takes time and money to summarise because it requires reading through big texts, an automated text model with lots of features It is suggested to use both extractive and abstractive methods for summarising. Important sentences that are enhanced by linguistic features are identified by a feature-rich extractor. These sentences are then further enhanced by an abstracter that adds components such named entity tags and part-of-speech tags. Moreover, a loss function is presented to match attentions at the word and sentence levels. At last the summarized text is converted into image by using parsing and other relatable techniques.
Wireless Power Transfer of Electric Vehicle Battery Charging
Authors: Mude Prof. S. K.
Published: May 2024

Abstract: Wireless power transfer (WPT) is a cutting-edge technology that utilizes magnetic resonance to eliminate the need for cumbersome wires. WPT builds upon the principles of inductive power transfer and has been rapidly advancing in recent years. At power levels of kilowatts, the transfer distance can range from a few millimeters to several hundred meters, achieving an efficiency of over 90%. This progress has made WPT an attractive option for electric vehicle (EV) charging, both in stationary and dynamic settings. This study examines the latest developments in WPT as it pertains to wireless charging for EVs. By integrating WPT into EVs, challenges such as charging time, range, and cost can be effectively addressed. Battery technology is no longer a limiting factor in widespread adoption, and it is hoped that researchers will be inspired by recent advancements to further enhance WPT and expand the use of EVs.
Examining the interplay of brand satisfaction, trust, and loyalty among BSI mobile users: The mediating role of brand attachment
Authors: Dahmiri Dahmiri , Khalik Idham , Bhayangkari Sylvia Kartika Wulan , Syafri Rista Aldilla
Published: May 2024

This study investigates the effects of brand satisfaction, trust, and loyalty among Bank Syariah Indonesia (BSI) mobile phone users. Additionally, it delineates the mediating role of brand attachment on a collective and individual scale. The study utilizes a sample drawn from diverse BSI customer bases across Indonesia. Data was gathered through structured questionnaires disseminated via WhatsApp, Facebook, and email, facilitated by Google Forms. The research adopted a quantitative methodology, incorporating statistical and hypothesis tests, with preliminary evaluations involving validity, reliability, and normality tests. Data analysis encompassed qualitative and quantitative methodologies, employing Structural Equation Modeling (SEM) for the quantitative segment. This pioneering research in Indonesia scrutinizes the interrelations between brand satisfaction, brand trust, and brand loyalty, specifically in the context of BSI mobile phone users, offering potential insights that might be pivotal for augmenting BSI's clientele. The findings demonstrate that the model's Goodness of Fit index meets the requisite criteria, illustrating the analytical competence of the model. Identifying service quality, marketing mix, and brand image as significant determinants influencing customer satisfaction is noteworthy. Furthermore, the research unveils that brand satisfaction, trust, and attachment are instrumental in shaping brand loyalty among BSI mobile users. Distinctively, brand satisfaction exerts an indirect influence on brand loyalty mediated by brand attachment, paralleled by a similar indirect influence of brand trust on brand loyalty through brand attachment. Incorporating brand attachment as a mediating variable in this study augments the comprehension of the interplay between these elements, yielding more substantial conclusions about their impact on brand loyalty.
Public expenditure on infrastructural development and economic growth: Evidence from Nigeria
Authors: Anderu KEJI Sunday , Tosin KEJI Oluwaseun
Published: May 2024

This research investigated the nexus between public spending on infrastructural development and economic growth: evidence from Nigeria. As a matter of urgency, there is a need for the Nigerian government to invest in infrastructure for sustainable economic growth since infrastructural development touches all human fields of endeavors in one way or another. Notably, despite the countryâ€™s pole position in the economic ranking in Africa, Nigeriaâ€™s infrastructural state still falls short, which has led to negative economic growth in recent years. Therefore, it is pertinent in this study to unravel the causes and the missing gaps between increasing fiscal spending on infrastructure and slow economic growth in Nigeria. Interestingly, Autoregressive Distributed Lags and cointegration techniques were adopted to investigate whether there are long interactions between economic advancement and public funding of social amenities in the case of Nigeria. Furthermore, post-estimation tests were carried out to ascertain the validity of the models adopted in the study. The investigations from the study showed that short and long-run nexus subsists between government investment in infrastructure and economic growth in Nigeria. Hence, to address the problems underpinning this research, the study recommended that a proactive policy framework be used to promote economic growth via a redesigned fiscal framework in Nigeria. Also, protective laws and acts to safeguard the existing infrastructures should be well-pronounced and adopted by policymakers to expand the productive life span of social goods.
Becoming a viewer again? Optimizing educational tour at IKN Nusantara to encourage community enthusiasm
Authors: Rahmawati Rahmawati , Rohmah Miftakhur , Ulfah Yana , Juwita Rina , Noor M. Fauzan , Arifin Zainal
Published: May 2024

The scenario of moving the national capital aims to equalize economic growth. In reality, the president of the Republic of Indonesia has chosen Penajam Paser Utara in East Kalimantan as the new national capital (known as IKN Nusantara). Substantively, this program is predicted to have an impact on community empowerment. To stimulate the success of capital city relocation, stakeholder participation is needed, especially local communities using a comprehensive alternative. The primary target of this paper is to channel and expose the culture of East Kalimantan via IKN Nusantara educational tourism. The mixed method approach combines quantitative techniques based on surveys and qualitative techniques through in-depth interviews. As a result, most local people in East Kalimantan are interested in taking part in the IKN Nusantara educational tour with relatively low prices and unique packaging of activities. In particular, the informants desired to be part of IKN Nusantara, including maintaining cleanliness, caring for the environment, promoting educational tours on their social accounts, and actualizing this activity as content creators. The main polemic is that even though they obtain information regarding the IKN Nusantara from various media, they are still confused about the role taken in developing the IKN Nusantara. Therefore, the government's commitment can guarantee local community access as IKN Nusantara partners. Optimism for the future agenda needs to be supported by popular and mutually-adhering policies toward holistic engagement of all stakeholders.
How liquidity, profitability, and leverage ratios influence financial distress: A study on Indonesian mining firms
Authors: Arifuddin Arifuddin , Hadisantoso Erwin , Sari Ika Maya , Yulianti Annisa Fitrah
Published: May 2024

This study investigates the impact of liquidity, profitability, and leverage ratios on financial distress in mining companies listed on the Indonesia Stock Exchange. It posits that higher liquidity in a company correlates with reduced financial distress. The research encompasses eight mining companies observed from 2016 to 2020. Purposive sampling was employed to select a sample of eight companies meeting specific criteria. The study utilizes multiple linear regression analysis as its analytical approach. The findings, significant at the 5% level, reveal that liquidity, profitability, and leverage ratios collectively exert a substantial influence on financial distress, accounting for 85.3% of the variance in the dependent variable. Specifically, the study concludes that: 1) Liquidity has a significant negative effect on financial distress, 2) Profitability also demonstrates a significant negative impact on financial distress, and 3) Leverage exhibits a significant positive effect on financial distress.
Women's entrepreneurial competence within a patriarchal social system
Authors: Hilmiana Hilmiana , Alviani Devi
Published: May 2024

Women in patriarchal social systems face various challenges that affect their economic access and hinder their empowerment. This research aims to identify the competencies required by women to thrive within a patriarchal social system, reduce gender disparities, and promote empowerment in various aspects of life. This research utilized secondary data from the Scopus database and applied a document study method. Keywords used for the search included "women competence," "women skills," "women entrepreneur skills," "entrepreneurial competencies," and "entrepreneur competence." After filtering, 31 articles were selected for analysis. The analysis used the Miles and Huberman model, including reduction, data analysis, and conclusion. The findings indicate that to address the challenges of patriarchy and achieve empowerment, women need to develop multidimensional competencies involving entrepreneurial skills, commitment, high-level conceptual abilities, recognition of opportunities, organization, relationships, strategic thinking, and marketing. The challenges of norms and gender expectations in patriarchal societies become obstacles that need to be overcome by educating the community about the vital role of women and the competencies required in SMEs (Small and Medium Enterprises). Innovation, creativity, and innovative marketing strategies are key to success, while support and networks from stakeholders can provide valuable boosts.
The impact of final demand on energy sectors' interregional output
Authors: Ernawati Ernawati , Natsir Muhammad , Asri Mansyur
Published: May 2024

This study investigates the influence of aggregate demand on the interregional energy sector in Indonesia, aiming to ascertain whether the proximity of regions impacts the demand within the energy sector. Utilizing data from the Input-Output Indonesia Interregional Table, this research encompasses six regions: Sumatra, Java, Bali & Nusa Tenggara, Kalimantan, Sulawesi, and Maluku & Papua. The energy sectors analyzed include oil, gas & geothermal mining, coal & lignite mining, coal industry & oil, gas refinery, and electricity and gas procurement & ice production. Findings indicate that the electricity sector exhibits relatively high sensitivity and dispersion power indices, whereas the gas procurement & ice production sectors display low sensitivity and dispersion power indices. Exports are identified as the primary contributors to the Oil, Gas, & Geothermal Mining and Coal & Lignite Mining sectors. Conversely, household consumption has the most significant impact on the other sectors. Crucially, the study reveals that the effect of a region's final demand on the output of another region is not directly correlated with geographical proximity. This insight leads to the recommendation that energy supply procurement policies should consider other regions' demands and economic developments, particularly those substantially influencing output enhancement.
Analyzing poverty levels and welfare: Does cigarette consumption and spending on regional functions have an impact?
Authors: Haer Jamhul , Sarjiyanto Sarjiyanto
Published: May 2024

In numerous developing nations, the impact of cigarette consumption on poverty often goes unnoticed by policymakers. This study endeavours to explore the correlation between household expenditure on cigarettes and levels of poverty and welfare. Beyond household spending, it also investigates the influence of regional functional expenditures and the prevalence of open unemployment on poverty and welfare. The examination encompasses 100 regencies and cities across three provinces: East Java (38 regencies and cities), West Java (27 regencies and cities), and Central Java (35 regencies and cities). Utilizing secondary data from the Central Statistics Agency (BPS) and the Ministry of Finance of the Republic of Indonesia, collected in 2021, employing a cross-sectional approach, this study employs multiple linear regression analysis via the Stata 17 program to discern the impact of various factors, including household spending, regional functional spending, and control variables, on poverty and welfare. The findings reveal that household cigarette consumption significantly exacerbates poverty, indicating that an increase in such consumption escalates poverty rates. Conversely, the second estimation model demonstrates that increased household expenditure on cigarettes significantly diminishes welfare levels, underscoring the adverse impact of heightened smoking consumption on overall welfare.
The impact of credit risk on market discipline: Exploring the moderating role of corporate governance through Generalized Method of Moments (GMM) analysis in banking companies
Authors: Juliana Ahmad , Najmuddin Najmuddin , Junaid Muhammad Tharmizi
Published: May 2024

High credit risk poses a significant threat to banks, underscoring the necessity to examine the effectiveness of good corporate governance in mitigating such risks. This study aims to assess the impact of credit risk, represented by non-performing loans (NPLs), on market discipline, reflected through deposit growth, and the moderating role of good corporate governance, focusing on board size and institutional ownership, in this dynamic. Data for the study were sourced from the financial reports of banking companies on their official websites, IDN Financial, and the Indonesia Stock Exchange. The study used a purposive sampling method to analyze a sample comprising 30 banking companies and yielded 300 observations. The research methodology involved dynamic panel regression analysis using the Generalized Method of Moments (GMM) technique. The findings reveal that non-performing loans negatively impact deposit growth. However, it was also found that board size and institutional ownership could positively moderate the adverse effects of non-performing loans on deposit growth. This suggests that market discipline, manifesting as a reduction in deposits and an escalation in credit risk within the Indonesian banking sector, can be effectively managed and mitigated through the strategic implementation of good corporate governance practices, particularly by optimizing board size and enhancing institutional ownership. These mechanisms enable more robust market discipline, contributing to better credit risk management and promoting healthier deposit growth.
The dynamics of Long-Acting Reversible Contraception (LARC) choices in rural Jambi: Socio-economic perspectives
Authors: Hardiani Hardiani , Junaidi Junaidi
Published: May 2024

High population growth without concurrent improvements in human quality poses significant challenges in promoting equitable welfare across various life aspects. Thus, population control is crucial for achieving sustainable development goals. This study emphasizes the role of Long-Acting Reversible Contraception (LARC) in managing fertility rates and investigates three main components of population growth: fertility, mortality, and migration. The objectives are threefold: 1) Analyze the profile of fertile-age couples using LARC in rural Jambi; 2) Investigate the socio-economic factors influencing the choice between LARC and non-LARC methods among these couples; 3) Explore the relationship between the couples' characteristics and their choice of LARC. Data were collected from a survey of 200 fertile-age couples participating in a family planning program across four villages in Jambi. The analysis utilized descriptive statistics, binary logistic regression, and multinomial logistic regression. Findings indicate that LARC usage among fertile-age couples in rural Jambi is low, at approximately 28% of total contraceptive users, with implants being the most common LARC type. In contrast, non-LARC methods are more prevalent, accounting for 72% of usage, dominated by three-month injectables, followed by pills and male condoms. Significant factors influencing the choice between LARC and non-LARC include the husband's education, the woman's employment status, the number of living children, the disparity between actual and ideal family size, desire for more children, knowledge about contraceptive options, and family income. Furthermore, characteristics significantly related to the choice of LARC methods such as tubal ligation, implants, and IUDs include the woman's age, number of living children, the gap between the ideal and actual number of children, desire for more children, woman's employment status, knowledge about contraceptive devices, and family income.
The Impact of Exclusive Talent Management Philosophy on Employee Engagement in ABC Company
Authors: Shahaan Liediawaty , Febriansyah Hary
Published: May 2024

This study investigates the effects of exclusive talent management philosophies on employee engagement within Company ABC, a multinational private healthcare corporation. The research focuses on how talent management strategies influence employees' levels of engagement. Company ABC, facing significant business challenges due to its dominant exclusive talent management strategy, emphasizes external recruitment and the development of a small group of high-potential employees. This approach has led to a decline in morale, employee engagement, and perceptions of fairness, as employees feel undervalued and overlooked. Primary data were collected through surveys administered to 104 Company ABC employees, ranging from entry-level to junior managers. The study employs quantitative analysis to assess the relationship between the company's talent management philosophy and employee engagement levels. Pearson Correlation technique was used to analyze the data. Findings reveal a negative correlation between exclusive talent management and employee engagement, indicating that a focus on a small group of employees can lead to feelings of exclusion and decreased motivation across the workforce. The thesis concludes with recommendations for Company ABC to transition to a more inclusive talent management approach. It advocates policies ensuring fair and equal treatment, development opportunities for all employees, and a culture that values diversity and inclusion. These changes are expected to enhance overall engagement, satisfaction, and organizational performance, aligning talent management with long-term business success.
SCALABILITY IMPROVEMENT OF ACTIVE PROBING FOR FAILURE DETECTION IN LARGE-SCALE SOFTWARE DEFINED NETWORKS USING COMMUNITY DETECTION ALGORITHMS
Authors: Sahran Firdaus , (Corresponding Author) Nor Badrul Anuar
Published: May 2024

Software-Defined Networking (SDN) is a networking approach that separates the network's control plane and data plane to provide better network control. The nature of SDN requires an essential focus on its reliability and availability, which includes failure detection aspects. Several techniques have been proposed to enhance SDN failure detection, including passive and active approaches. However, the Route Inspection (RI) algorithm, an example of the active probing method in active detection, has scalability issues when deployed in large-scale networks as it generates inefficient and lengthy probe paths. To address this, we propose using community detection (CD) algorithms to improve the probe path generation of the RI algorithm, resulting in the 'Failure Detection using Community Detection and probing (FDCD)' framework. With the aim to reduce travel paths, the proposed framework minimizes the network topology using CD algorithms to reduce the topology size into smaller communities. Then, the RI algorithm calculates the probe path in the communities instead of the single large topology, thus improving the efficiency of the failure detection mechanism. This paper adopts three community detection algorithms: Louvain, Label Propagation, and Girvan-Newman. We evaluate the framework using three well-known network topologies, COST266, PIORO40, and GERMANY50, in Mininet to observe the framework's performance. The results indicate that the proposed approach improves the algorithm's scalability against its baseline approach, improving the average probe round trip time by 66.87% and the average path installation time by 2.67%.
Volcanic Earthquake Classification using Transformer Encoder and Its Interpretability Evaluation
Authors: Suzuki Yugo , Yukutake Yohei , Ohminato Takao , Yamasaki Masami , Kim Ahyi
Published: May 2024

Precisely classifying earthquake types is crucial for elucidating the
relationship between volcanic earthquakes and volcanic activity.
However, traditional methods rely on subjective human judgment, which
requires considerable time and effort. To improve this, we developed a
deep learning model using a transformer encoder for a more objective and
efficient classification. Tested on Mount Asama’s diverse seismic
activity, our model achieved high F1 scores (0.876 for tectonic, 0.964
for low-frequency earthquakes, and 0.995 for noise), equivalent to or
better than other methods. According to the attention weight
visualization, our model focuses on critical seismic signal features for
classification, similar to expert analysis. However, it has been
demonstrated that removing subjective elements and employing
standardized labeling of the training data based on waveform features
are necessary to enhance the interpretability of the model.
Additionally, the analyses suggest that stations near the volcanic
crater are essential for a highly interpretative and accurate
classification.
Analysis of Heavy Metals and Petroleum Based Contaminants in Surface Water and Sediment near two Illegal Refining Sites in Niger Delta, Nigeria
Authors: IH Dimkpa , CA Dimkpa , MA Achadu
Published: May 2024

The pollution of the environment from heavy metals and petroleum based contaminants in surface water and sediments resulting from illegal refining activities were looked at. The study was aimed at assessing the levels of heavy metals (Pb, Zn, Cu, Co, Cr, As, Cd and Ni), Benzene, Toluene, Ethyl-Benzene, and Xylene (BETX), Polycyclic Aromatic Hydrocarbons (PAHs) and Total Hydrocarbon Content (THC) in surface water and sediments. Samples were collected from two deactivated sites of illegal refineries in Oshika and Egbalor communities of Rivers State, Nigeria. The samples were analyzed for the contaminants which were compared with the World Health Organization (WHO) standard. The findings indicate that the surface water and sediments were highly polluted and may pose a health hazard to the community members that may use it for drinking.
PERAN NILAI-NILAI GAMIFIKASI DAN SOSIAL TERHADAP ADOPSI E-COMMERCE
Authors: Ammalia Adinda Risky , Sumar Sumar
Published: May 2024

This study aims to identify the factors that generate social and shopping motivations that lead to favorable attitudes toward e-commerce applications in gamification. The research methodology used primary data from an online questionnaire. A sample of 151 e-commerce application users who play games on e-commerce platforms was collected and analyzed using structural equation modeling. The results showed that exposure to the network through gamification significantly impacts social influence, perception, and mutual benefit. The more a user interacts with other users in the network, the greater his or her participation in the gamification system. Thus, the more extensive the network, the greater the potential for recognition and exposure to more social environments. Recognition and reciprocal benefits were found to have no significant effect on attitudes. This study provides practical recommendations for implementing gamification in e-commerce application platforms. This study provides a better understanding of the application of gamification in e-commerce by examining social interactions within the game and shopping behavior in e-commerce that continuously use the platform.
Keywords: Gamification; Network Exposure; Social Influence; Reciprocal   Benefit; Recognition
Abstrak
Tujuan dari penelitian ini adalah untuk mengidentifikasi faktor-faktor yang menciptakan motivasi sosial dan belanja yang mengarah pada sikap positif untuk aplikasi e-commerce dalam konteks gamifikasi. Metodologi penelitian menggunakan data primer dari kuesioner online, 151 pengguna aplikasi e-commerce yang memainkan game di platform e-commerce dikumpulkan sebagai sampel penelitian dan dianalisis menggunakan model persamaan struktural. Hasil penelitian menunjukkan bahwa paparan jaringan melalui gamifikasi berpengaruh secara signifikan terhadap pengaruh sosial, pengakuan dan manfaat timbal balik. Semakin banyak pengguna yang terpapar ke pengguna lain dalam jaringan, mereka akan lebih terlibat dalam sistem gamifikasi. Dengan demikian, ketika jaringan semakin besar, kemungkinan mendapatkan pengakuan dan terpapar lebih sosial di lingkungan juga akan lebih besar. Pengakuan dan manfaat timbal balik tidak ditemukan signifikan mempengaruhi sikap. Penelitian ini memberikan rekomendasi praktis untuk aplikasi e-commerce dalam menerapkan gamifikasi ke dalam platform mereka. Penelitian ini memberikan pemahaman yang lebih baik tentang penerapan gamifikasi di e-commerce dengan mengkaji interaksi sosial dalam game dan perilaku belanja di e-commerce yang terus menggunakan platform tersebut.
Kata Kunci: Gamifikasi; Paparan Jaringan; Pengaruh Sosial; Manfaat Timbal Balik; Pengakuan
PREDICTION OF THE PERITONEAL ADHESION DISEASE AFTER SURGICAL INTERVENTIONS ON THE ORGANS OF THE PERITONEAL CAVITY
Authors: Savchuk Artem , Polyovyy Viktor
Published: May 2024

Adhesion disease (AD) is a serious disease that occurs as a result of various pathological processes, mainly of an inﬂ ammatory nature and is characterized by an unpredictable course, disability, and a wide range of complications. At the current stage, there is no reliable system for predicting adhesion formation and the development of AD, which conﬁ rms the relevance of this direction of research.The aim of the study. To evaluate the prognostic value of various factors of the occurrence of adhesions in order to use them in the system of forecasting the development of adhesion disease.Material and methods. The study is based on the analysis of clinical data of 102 patients with AD. Patient management, diagnosis and treatment of complications were carried out in accordance with the recommendations of the Bologna guidelines for diagnosis and management of adhesive small bowel obstruction… (2018). Statistical analysis was carried out using the Clinical Calculator 1 computer program. In order to assess the prognostic value of various parameters, the prevalence, sensitivity and speciﬁ city of the symptom, the ratio of the chances of the occurrence of the disease associated with the symptom were calculated.Results of the study. It has been shown that the presence of peritoneal inﬂ ammation in the anamnesis signiﬁ cantly increases the risk of adhesion formation. Transferred peritonitis is an important prognostic marker of the occurrence of AD, however, the low sensitivity of this parameter emphasizes the impossibility of its isolated use for prognostic purposes. The risk of adhesion formation due to peritonitis increases 4.8 (0.7-32.18) times. A slightly higher risk of adhesion formation was determined during colorectal operations, however, this dependence was unlikely. The risk of developing AD as a result of open operations is 1.77 (0.92-3.41), the presence of intestinal obstruction in the anamnesis increases the risk of AD developing by 1.86 (0.96-3.62) times.Conclusions. No statistically signiﬁ cant relationship between the occurrence of adhesions of the peritoneal cavity and the gender distribution, term and type of surgical interventions was established. Open access, history of obstruction, and peritonitis are the most important factors that create the highest risk for adhesions.
MORPHOLOGICAL CHARACTERISTICS OF CHANGES IN THE PERIULCEROUS ZONE OF BLEEDING GASTRODUODENAL ULCERS DEPENDING ON THE DEGREE OF BLEEDING ACTIVITY ACCORDING TO FORREST
Authors: Kachanovsky Yaroslav , Dzubanovsky Ihor
Published: May 2024

Despite the signiﬁ cant decrease in morbidity and mortality rates due to peptic ulcer disease of the stomach and duodenum over the past few decades, complications still occur in 10-20 % of patients. Of these, bleeding is the most common complication of peptic ulcers, with an average 30-day mortality of up to 8.6 %. The aim of the study was to evaluate histological changes in the periulcerous zone of active bleeding gastroduodenal ulcers in patients with diﬀ erent degrees of activity of gastroduodenal bleeding according to Forrest. 378 patients with chronic bleeding ulcers of the stomach and duodenum (DPK) were evaluated endoscopically according to the Forrest classiﬁ cation. There were 231 (61.11 %) patients with Forest IA, IB, IIA, IIB, IIS who underwent endoscopic hemostasis (injection therapy or argon plasma coagulation). In 147 (38.89 %) patients, hemostasis was not performed due to the endoscopic pattern of bleeding activity according to Forrest III. A biopsy was taken from the area of periulcerous inﬁ ltrate during endoscopic diagnosis before hemostasis on the day of hospitalization. It has been established that endoscopic bleeding stigmata have morphological features depending on the severity of destructive, inﬂ ammatory and regenerative changes in periulcer tissues. Microscopic analysis of biopsies of periulcerous inﬁ ltrate in bleeding gastroduodenal ulcers allows predicting the probability of recurrence of bleeding.
ANATOMICAL MODELING OF THE SUPERFICIAL MUSCLES OF NECK IN PERINATAL PERIOD OF ONTOGENESIS
Authors: Tsumanets Iryna
Published: May 2024

The analysis of the literature indicates the high interest of not only domestic, but also foreign scientists in the anatomy and topography of the neck muscles at various stages of ontogenesis for adequate surgical correction of abnormalities in newborns and young children. The study was performed on 63 objects of human fetuses aged from 4 to 10 months and 7 newborns (in particular, 5 isolated organ complexes). For create anatomical models of the surface muscles of the neck, muscle parameters and commonly known neck sizes were determined in all age groups. The length of the muscles was determined from the place of its beginning to the place of attachment, the width – at the level of its widest part, that is, at the level of the anatomical diameter. Statistical analysis of the obtained data was performed using the licensed program RStudio. For the morphometric parameters of the sternocleidomastoid and scapulohyoid muscles during the perinatal period of development, periods of accelerated development are characteristic, for the length of the sternocleidomastoid muscle – from the 5th to the 9th month, for the length scapular- hyoid muscle – from the 4th to the 6th month of intrauterine development. For width of the right and left sternocleidomastoid muscle has two periods of the most intense increase: during 5-6 and 8-10 months of development, while the width of the right and left scapulohyoid muscle increases gradually during this period of development. The created anatomical model based on the morphometric parameters of the surface muscles of the neck is  a template for all age groups during the perinatal period of ontogenesis with the aim of establishing typical and variant anatomy with the subsequent prediction of developmental abnormalities or congenital pathology. The established correlation relationships between the morphometric parameters of the sternoclavicular mastoid and scapular- hyoid muscles during the perinatal period of development testify to their synchronous and harmonious development.
METHOD OF TRIGONIZATION (LOWERING) OF THE NECK OF THE BLADDER INTO THE PROSTATE BED WHEN PERFORMING LAPAROSCOPIC VALUED PROSTATECTOMY IN PATIENTS WITH BENIGN PROSTATIC HYPERPLASIA
Authors: Horovyi Viktor , Shaprynskyi Volodymyr , Kapshuk Oleg , Moraru-Burlesku Roman , Tserkovniuk Ruslan , Balatskyi Oleksiy , Dovgan Ihor , Metashop Oleksandr , Taheiev Valentyn
Published: May 2024

For the prevention of stricture of the bladder neck during laparoscopic prostatectomy, faster epithelialization of the prostate bed, trigonization (lowering) of the lower semicircle of the urethral neck into the prostate bed with knotted sutures is used, which remain in the lumen of the bed and can cause inﬂ ammatory processes in it with the formation of calculi.The purpose of the study: to present a method of trigonization of the lower semicircle of the bladder neck during laparoscopic extraperitoneal pubic (transcapsular) prostatectomy in patients with benign prostatic hyperplasia.Material and methods. In the center of plastic, reconstructive and minimally invasive oncourology of the Cherkasy regional oncological dispensary and the urological department of the Vinnytsia regional hospital named after Pirogov in 2021-2023, 55 laparoscopic extraperitoneal retropubic prostatectomies were performed in patients with benign prostatic hyperplasia. In 3 patients with large lateral and middle parts of the prostate, a large bed of the prostate with a bladder neck of a small diameter (up to 1 cm) was formed. To prevent the formation of a stricture of the bladder neck and to speed up the regeneration of the prostate bed, the trigonization of the bladder neck in the prostate bed was performed by placing two P-like vicryl sutures on the lower semicircle of the bladder neck with sutures on the lateral surfaces of the prostate capsule and tying the ends of the ligatures.The results. The method made it possible to perform trigonization of the bladder neck without leaving ligatures and their ends in the lumen of the prostate bed and inﬂ ammatory processes in it.Conclusion. The method is recommended for use in the practical work of urologists when performing onemoment laparoscopic retropubic prostatectomy in patients with benign prostatic hyperplasia with a large middle part of the prostate.
MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS MELALUI MEDIA PEMBELAJARAN DI SMA MUHAMMADIYAH 4 KOTA BENGKULU
Authors: Bahrin Bahrin , Milla Hilyati , Putri Misbah Diana
Published: May 2024

This research aims to determine the differences in the use of Microsoft PowerPoint-based learning media in improving students' critical thinking skills in class X economics subjects at SMA Muhammadiyah 4 Bengkulu City. The type of research used is quasi-experimental research. The population in this study was 35 students. Data collection techniques use observation and tests. The data analysis technique used is the t test, namely the Independent Sample Test, with the average test score in the control class being 74.4706. Meanwhile, in the experimental class the average test score was 77.5556. The data was tested using the Independent Sample T-Test. The test results show that the significant value is 0.001, which means it is smaller than (<) 0.05 based on the test decision, Ho is rejected and Ha is accepted, so it can be said that there is an average difference in students' critical thinking abilities between the control class and the experimental class. In other words, students' critical thinking abilities are better when using Microsoft Power Point-based learning media than without using learning media.