bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of Emotional Intelligence on Employee Performance
Authors: Jai Bhagwan, Anupama
Published: February 2025

Background: Because of its ability to boost employee performance and propel organizational efficiency, emotional intelligence (EI) has attracted a lot of interest in the field of organizational studies.A thorough analysis of the correlation between EI and performance in the workplace over the last ten years is still missing, although the significance of the topic.
Objective: Exploring the relationship between emotional intelligence and employee performance is the goal of this systematic review, which will shed light on the methodology, geographical foci, and current trends in the field while also suggesting avenues for future research.
Methodology: The initiative will conduct thorough systematic assessments of scholarly articles listed in the Scopus database from 2014 to 2023. Software, tools, and geographic areas of emphasis are crucial subjects. 
Results:  Employee performance is positively and significantly correlated with emotional intelligence, according to the results. Opportunities for personal development and the organization's success are both impacted by EI.
Conclusion: This project's methodology is based on a thorough evaluation of scholarly articles included in the Scopus database. Important topics Important themes an es, tools for software, and geographical regions of concentration. By compiling the most recent research on how emotional intelligence affects productivity in the workplace, this review is a huge assistance.
Fire dynamics and heat transfer: Advances in flame spread analysis
Authors: Dalower Hossain
Published: February 2025

Fire dynamics is a branch of research in which those mechanisms that govern heat transfer and flame spread in a fire at a particular instant are studied and understood, because both are good in determining the behaviour of a fire and how to suppress it. More recently, with advances in computational modeling, experimental techniques, and material science, we now have improved tools for predicting and dealing with fire hazards. In this investigation, we review the basic principles of heat transfer conduction, convection and radiation in relation to the propagation of flames in various environments. It also studies mechanisms of flame spread including surface, turbulence, and upward flame dynamics. Among these are the Integration of cutting-edge technology like Computational Fluid Dynamics (CFD), Artificial Intelligence (AI), Fire resistant Materials and others, which have changed the look of fire safety Engineering and brought in enhancement in the Risk Assessment and Control measures. These developments still leave open the complex real world fire challenges and current predictive model limitations. It reviews key advances in fire dynamics research and their uses in fire safety engineering and predicts future possibilities in the innovation of fire prevention and control.
Household food waste behaviors of participants in a municipal community compost program
Authors: Campbell Catherine , Gusto Cody , Kelsey Kathleen , Haase Helen , Cohen Nevin , Robertson Kai , Kiker Gregory , Boz Ziynet
Published: February 2025

Food waste is a critical problem in the U.S. and globally. Most household food waste is landfilled, with just a small proportion composted. House­hold food waste accounts for a substantial amount of the food waste problem, but because it occurs in the privacy of people’s homes, we have a limited understanding of it, hindering our ability to create policies or programs to address the issue. Commu­nity composting programs have the potential to reduce the amount of landfilled food waste and convert it into a valuable resource. One strategy to address this gap is citizen science, whereby the public is trained to collect data and participate in the research cycle. This technique is particularly useful for answering research questions in real-world conditions to which researchers typically do not have access, such as individuals’ daily lives and activities in their homes. The purpose of this study was to gain a baseline understanding of the amount of food waste individual households contribute to a community compost program, the primary rea­sons people generate food waste, the types of packaging households typically discard, and individuals’ knowledge, attitudes, and beliefs about food waste and the impact that a community-based compost program has on their lives. Participants in a com­munity-based compost program in Florida have positive attitudes and beliefs about reducing food waste, but they have a less positive perception of the value judgments of influential people in their social circles (i.e., social norms) regarding food waste. Participants have limited confidence that they can reduce their food waste. Community-based compost program participants indicate that the program has increased their awareness of food waste, reduced their waste, and increased their appreciation of community-based circular food sys­tems (CB-CFS), i.e., systems that support commu­nity well-being while minimizing environmental harm and resource depletion. This study highlights the value of a community-based compost program for diverting food waste from individual house­holds, increasing knowledge, and changing resident attitudes and behaviors related to food waste. Our findings suggest that key behavioral variables, such as self-confidence, may support individual ability to reduce food waste, and that participation in an community composting program may bolster self-confidence and increase the likelihood that individuals reduce household food waste. We recommend that stakeholders interested in developing a com­munity composting program conduct feasibility assessments and provide education to program participants.
Agent-based modeling at central banks: recent developments and new challenges
Authors: Borsos András , Carro Adrian , Glielmo Aldo , Hinterschweiger Marc , Kaszowska-Mojsa Jagoda , Uluc Arzu
Published: February 2025

Over the past decade, agent-based models (ABMs) have been increasingly employed as analytical tools within economic policy institutions. This paper documents this trend by surveying the ABM-relevant research and policy outputs of central banks and other related economic policy institutions. We classify these studies and reports into three main categories: (i) applied research connected to the mandates of central banks; (ii) technical and methodological research supporting the advancement of ABMs; and (iii) examples of the integration of ABMs into policy work. Our findings indicate that ABMs have emerged as effective complementary tools for central banks in carrying out their responsibilities, especially after the extension of their mandates following the global financial crisis of 2007-2009. While acknowledging that room for improvement remains, we argue that integrating ABMs into the analytical frameworks of central banks can support more effective policy responses to both existing and emerging economic challenges, including financial innovation and climate change.
Lumbar hernias: The simplicity of open repair
Authors: Qureshi Maryum , Strauss Paul
Published: February 2025

Introduction: Lumbar hernias are an extremely rare condition characterized by a defect in the posterior abdominal wall. Surgical repair is the recommended treatment to prevent strangulation, obstruction, incarceration, or perforation of abdominal contents within the hernia sac.

Case Series: In this case series, we present two patients with a lumbar hernia. A 52-year-old male presented with a traumatic right inferior lumbar hernia containing the base of cecum and appendix, and an 84-year-old female presented with an iatrogenic left inferior lumbar hernia containing descending colon. Both patients underwent a successful open repair of the hernia with insertion of an extraperitoneal polypropylene mesh. Their recovery was uneventful and both patients were discharged on the first postoperative day with no complications on follow up.

Conclusion: Lumbar hernia is a rare clinical entity. An inferior lumbar hernia is more uncommon than a superior lumbar hernia. We present two cases managed with safe, effective and reproducible surgical treatment.
Potential of Microsatellite Markers for Genetic Assessment of Scalloped Spiny Lobster (Panulirus homarus) Populations in Al Sharqiyah Governorate and their Application in Specie’s Fishery Management
Authors: Al-Brashdi Huda
Published: February 2025

Spiny lobster is one of the highest-priced seafood worldwide. Its fishery contributes well to the country's income and is considered one of the important export items to other countries. However, its annual catch declined sharply. Studying the stock is important for proper fishery management because stock responds differently to overexploitation and adaptation, therefore different stocks need different conservation plan. In this study, the genetic diversity and population differentiation of 50 P. homarus (the most present spiny lobster subspecies in Oman) from two regions (Al-Ashkharah and Masirah) of Al Sharqyah governorate were studied using 49 microsatellite markers. The results showed that P. homarus from the two sites are genetically similar based on low Fst (0.009), AMOVA test (1% variation). In addition, they are admixed as it is shown by DAPC (Discriminate Analysis of Principal Component) and by the phylogenetic tree. In conclusion, P. homarus from the two sites can be considered as a single stock, therefore the same fishery management and conservation strategy can be used to manage the spiny lobster fishery in Al Sharqyah governorate. More studies with a larger sample size are necessary to support our findings.
Effect of intermittent frying on the stability of vitamins A and D in commercially fortified oils
Authors: Al-Khusaibi Mohamed , Al-Amri Seham , Al-Habsi Nasser , Rahman MD. Shafiur
Published: February 2025

Fat-soluble vitamins and fatty acids are very sensitive to high temperature and oxidation. In this study, stability of vitamins A and D, and physiochemical changes were investigated in two types of oils, palm olein (PO) and a blend of PO and sunflower oil (OB). The intermittent frying was performed at two different temperatures 160 and 190 °C. Batches of French fries (500 g) were fried in a deep-fat fryer for 5 cycles, a cycle per day. In each cycle, food was fried every 15 min with a total frying time of 5 h per day. Oil samples were taken at the end of each heating cycle to measure vitamins A and D concentration, free fatty acid (FFA), peroxide value (PV) and color. In PO, vitamin A was reduced by 96.7% after 25 h of frying at 160 °C and it was completely depleted after 15 h at 190 °C. In OB, the vitamin was reduced by 72.2% after 25 h of frying at 160 °C; and it was completely depleted at 190 °C at the end of frying cycles. Vitamin D was less stable, its content in PO decreased by 67.0% and 80.0% at 160 °C and 190 °C, respectively, after 5 h of frying. In OB, it was reduced by 50.0% and 67.0% at 160 °C and 190 °C, respectively, after 5 h of frying. It was found that both types of oil and frying temperatures showed significant effect on vitamin A concentration, while they did not show any effect on vitamin D. Red color increased linearly with frying time in both oils, while fried at two frying temperatures. The change in color was significantly associated with the vitamin A depletion. A low, but significant, association was found between color changes and depletion of vitamin D. In conclusion, the stability of these vitamins depended on the types of oil and temperature of frying. These were more stable in OB compared to PO, and similar stability was observed in the cases of FFA and PV.
Assessing Food Safety Practices in the Era of COVID-19: A Cross-Sectional Analysis of Restaurant, Retail, and Hotel Sectors in Muscat Governorate, Oman
Authors: Al-Khusaibi Mohammed
Published: February 2025

This study evaluated the adherence of food retailers, restaurants and hotels in Muscat Governorate to the precautionary measures to control the spread of COVID-19. This study found that only 18% of hotels implemented a Food System Management System (FSMS) while no restaurant or retailer implemented any FSMS. The majority of food retailers (89%) and restaurants (96%) did not conduct COVID-19 measures assessment while the assessment was conducted by 53% of caterers. All caterers assessed visitors/suppliers on COVID-19 symptoms and 94% of them kept details in a record book, followed by 96 and 76 %, respectively in retailers and restaurants. Safety distancing measure, signs, barriers and one-way system were implemented by different food establishments at different percentages. Covid-19 pandemic resulted in several changes in the food hygiene-related practices, such as hands sanitizing, wearing gloves and wearing masks. In conclusion, the overall adherence level of the food establishments toward health and symptoms monitoring, physical distancing, and face mask wearing was relatively high. The Era resulted in the introduction of hygienic practices that have been always recommended in the food service sector.
Effect of Surya Sakthi on fatigue, stress and balance among third year BDS students
Authors: Srudhika S , Aditya N K
Published: February 2025

The word Surya refers to the Sun, the powerhouse of our planet. All life on the earth is solar-powered, including humanity. Surya Shakti is the technique of using that energy to strengthen your physical and mental well-being. This study aims to assess the effect of Surya Sakthi on factors affecting our daily lives, such as fatique, stress, and balance. A total of 10 students of 3rd-year BDS were surveyed using 16 questionnaires to assess parameters like Stress, Fatigue, Sleep and Balance. These scores were collected at different time intervals- Baseline values(before Yoga) and at the end of 1 month(after Yoga). The average values were assessed between baseline values and 1-month intervals to observe the difference in different parameters focused on this study. From the study, we can infer that the one-month average of the questionnaires attempted by the students post-exposure and everyday practice of Surya Sakthi are significantly higher than that of the baseline values before exposure to Surya Sakthi. The study concludes that Surya Sakthi has a positive effect on improving an individual's mental and physical well-being of an individual, especially in improving the quality of sleep, coping with stress and fatique and hence improving the balance of life.
Optimization of gel formula from active fraction of manggost fruit (Garcinia mangostana. L) and antibacterial activity test against Staphylococcus epidermidis
Authors: Mayorga Andreas Hiba , Kuncahyo Ilham , Saptarini Opstaria
Published: February 2025

The purpose of this study was to determine the antibacterial activity of the ethyl acetate fraction of mangosteen peel and the effect of the combination of Carbopol, HPMC, and Propylene glycol as humectants on physical properties and antibacterial activity. The results of the fractionation of the extract were tested on Staphylococcus epidermidis bacteria using the diffusion method, the ethyl acetate fraction which had antibacterial activity with a concentration of 10% was made into a gel preparation with the composition of carbopol, HPMC, propylene glycol with run 14 obtained by the Simplex Latice Design method. The physical quality test of the preparation was carried out, namely organoleptic test, homogeneity, pH, adhesion, spreadability, viscosity, and antibacterial activity. Test data for physical quality and antibacterial activity analyzed using the Simplex Latice Design method, after which the analyzed using the Simplex Latice Design, and statistics using SPSS with the One Way Anova test. The results of the study stated that the ethyl acetate fraction of mangosteen peel can be made into mangosteen peel gel preparations for concentrations of Carbopol 94 1.5 g, HPMC 1000DB 2.5 g, propylene glycol 5 g with a spreadability value of 4.35 cm, viscosity 433.33, antibacterial 21, 4mm.
Shaping digital communication culture in prospective teachers: The role of digital etiquette training in Kazakhstan
Authors: Аbdigapbarova Ulzharkyn , Syzdykbayeva Aigul , Aitenova Elmira , Nishanbayeva Sabira , Nurgaliyeva Saniya
Published: February 2025

This study examines the impact of digital etiquette training on the development of a digital communication culture among future teachers by providing new perspectives and access to scientific knowledge in the field of digital etiquette. A mixed-methods approach was used both before and after the test. The study included 115 respondents. The preliminary testing between the groups showed that both groups were at the same level in terms of communicative culture indicators. Additionally, participants had no prior knowledge of digital etiquette. An authors' program was created specifically for the course and implemented to help students become more skilled with technology. A set of measures was carried out to develop a digital communicative culture through the means of netiquette and the introduction of technology for individualization and personalization of learning. This study found the impact of digital etiquette on the development of a digital communication culture in future teachers by providing new perspectives and access to scientific knowledge in the field of digital etiquette, as well as the practical application of this knowledge to support cultural digital interaction.
Optimizing the warehouse receipt system for capture fisheries in Indonesia: Policy recommendations for coastal area development
Authors: Nugraheni Ninis , Tamrin Muhammad Husni , Huda Mokhamad Khoirul , Buhori Ahmad Ary Firman , Budiono Arief
Published: February 2025

The objective of this study is to investigate the inhibiting factors of warehouse receipt implementation for capture fisheries commodities in Indonesia, as well as the urgency of forming regional policies to encourage economic growth in coastal areas through the utilization of warehouse receipt systems. This was descriptive normative legal research through a statute approach and a conceptual approach, which was studied using data collected directly from the field through interviews and Focus Group Discussions, then analyzed based on positive law and theories related to the research issue. The results obtained revealed there are inhibiting factors in the utilization of the warehouse receipt system for capture fisheries commodities, namely the lack of synergy between stakeholders supporting the warehouse receipt system, the lack of local government support for the utilization of the warehouse receipt system, and constraints on the process of execution of warehouse receipt system collateral objects for capture fisheries commodities. The practical and theoretical implications of this research are the formulation of policies at the local level by the local government that regulate the development, guidance, and supervision of the fisheries warehouse receipt system, futures trading, and commodity auction market linkages. This study contributes to the policy needs to be complemented by efforts to develop standards, procedures, and technical development of the Fisheries Warehouse Receipt System for the community, along with regular evaluation by the relevant agencies.
Utjecaj kraljeva mira kao pravnog instituta na razvoj srednjovjekovnog kaznenog prava
Authors: Erent-Sunko Zrinka , Marelja Miran
Published: February 2025

U radu se pravnopovijesnom metodom razlaže nastanak instituta kraljeva mira te se analizira utjecaj koji je taj institut imao na razvoj engleskog (britanskog) kaznenog prava. Počevši od njegovih germanskih korijena te njegova razvijenijeg oblika za franačke države, kraljev će se mir pokazati nedostatnim za sprječavanje spirala nasilja potaknutih krvnim osvetama. Razdoblje nesigurnosti u uvjetima raspada Franačkog Carstva potaknut će nastojanja Crkve da kroz sadržajno povezane institute Mira Božjeg i Primirja Božjeg zaštiti svoju imovinu i kler, a potom i druge ugrožene osobe koje nisu sudjelovale u privatnim ratovima feudalaca. Nakon normanskog osvajanja Engleske 1066. kraljev se mir potvrđuje kao važno sredstvo suzbijanja privatnih ratova, a „povrede kraljeva mira“ potom su kroz porotno sudovanje potaknule daljnji razvitak engleskog kaznenog materijalnog i postupovnog prava. U navedenom procesu posebno se izdvaja Statut o izdaji iz 1352., kojim će se izdaja djelomično uzdignuti nad teške zločine, a ujedno je potaknut i razvitak blažih zločina, koji će s vremenom obuhvatiti široku skupinu kažnjivih oblika ponašanja, uključujući i prekršaje.
The Crime of Defamation in 19th Century Europe
Authors: Novaković Filip
Published: February 2025

This article delves into the complex and evolving landscape of defamation as a criminal offence in 19th century Europe. The crime of defamation, encapsulating the act of damaging a reputation through spoken or written words, became a contentious issue, closely interwoven with the burgeoning principles of freedom of expression and the evolving legal systems of the time. This study employs a comparative legal historical approach to investigate how defamation was defined, prosecuted, and perceived across different European countries. As societies transitioned from aristocratic hierarchies to more egalitarian systems, defamation cases often served as a platform for public discourse on power dynamics, individual rights, and the role of the media in shaping public opinion. The study of defamation in 19th century Europe provides a unique perspective on the delicate balance between the protection of personal reputation and the promotion of democratic values in a rapidly changing world.
Research on prediction of credit score classification data based on machine learning methods
Authors: Lin Xi
Published: February 2025

Credit scoring is an important tool for financial institutions to assess customer credit risk, and its accuracy directly affects the effectiveness of risk management and decision-making. With the development of big data and artificial intelligence technology, the application of machine learning methods in the field of credit scoring has gradually become a research hotspot. This study explores the application of machine learning methods in credit scoring, specifically the use of random forest models to analyze real credit scoring data. By conducting feature importance analysis on public data sets from Kaggle, and combining statistical methods such as AUC (area under the curve) and Kolmogorov-Smirnov values to evaluate model performance, the study found that the random forest model performed well when processing complex and high-dimensional data, significantly It improves the prediction accuracy. Feature analysis reveals the key impact of factors such as income level, credit history length, and debt ratio on credit scores. This paper deepens the theoretical understanding of the application of machine learning in the field of credit scoring, which provides financial institutions with more reliable tools in risk management and decision-making. However, there are still limitations: the limited geographical and industry coverage of the dataset may affect the generalizability of the results, and the high computational resource requirements of the ensemble learning method limit its promotion in real-time applications.
Finance and Artificial Intelligence(AI)Current Research Progress and Issues
Authors: Wang Kanjin
Published: February 2025

In consequence of the ongoing evolution of technology, the global technological level has undergone a qualitative leap. In consequence, we have inaugurated a new era of Artificial Intelligence. Artificial Intelligence (AI) represents the central technology driving both technological revolution and industrial transformation. As a novel and significant domain of Artificial Intelligence, financial intelligence has garnered considerable interest from both academic and industrial circles. The objective of this article is to provide an overview of the principal stages of technology-driven financial development. As a result of ongoing technological advancement, the concept of financial intelligence has emerged and evolved. This article will examine the applications of AI in financial domains, including wealth management, risk management, and financial security. It will also analyse the challenges associated with the use of AI in finance and propose potential solutions. Finally, it will evaluate the current state and advancement of AI in these financial fields, with a view to establishing a foundation for future technological developments in the field of finance
The Impact of Integrated ESG Strategies on Protecting Urban Biodiversity in the Context of Climate Change
Authors: Ren Yanheng
Published: February 2025

In recent years, with the increasing challenges posed by climate change, urban biodiversity is under great pressure. Integrated ESG (Environmental, Social, Governance) strategies, as an important model to enhance corporate sustainability and social responsibility, are gradually playing an important role in urban biodiversity conservation. This article looks at how external factors (like government policies, public awareness, and investor preferences) and internal factors (like corporate governance structures, sustainable innovation concepts, and green infrastructure investments) affect the implementation of ESG strategies in cities that are trying to protect biodiversity in the face of climate change. The paper first reviews the close links between climate change and biodiversity conservation, and then explores the significant role of ESG strategies in policy support, business practices, and market orientation. Based on a review of the existing literature, it is concluded that although today's integrated ESG strategies show some potential to improve biodiversity conservation, they still face challenges such as insufficient data monitoring and conflicts of interest. Last but not least, the paper gives policy suggestions for how to best use ESG strategies so that businesses can do more to stop the loss of biodiversity in cities caused by climate change.
Prediction of Mental Problem Based on Deep Learning Models
Authors: Huang Ziqi
Published: February 2025

The rising prevalence of mental health issues identifies the urgent need for accurate, scalable, and timely prediction systems. Deep learning, a subset of a machine learning inspired by humans neuron structure, has offered an opportunity for innovative solutions for mental health diagnosis. The main idea of this paper is analyzing the application of deep learning in diagnosing mental disorders, including but not limited to Alzheimer, Parkinson and Schizophrenia. An enormous number of techniques will be put into real life application while dealing with diagnosis of mental health issues, but our focus will be convolutional neural networks (CNN), recurrent neural networks (RNN) and deep neural networks (DNN) strategies this time. On top of that, well also discuss integrating multimodal data, combining neuroimaging with behavioral and textual analysis which is able to enhance diagnostic accuracy. Techniques like CNN-DNN hybrids provide another comprehensive view of mental health issues. Despite these successes, challenges such as data privacy, ethical considerations, and security issues remain significant obstacles, which is our topic as well. Future prospects include federated learning, blockchain technology, and privacy-preserving methods to enhance security and maintain patient trust. All in all, this paper aims at giving a comprehensive understanding of deep learning methods through the application of the mental health diagnosis area.
Exploration of Sensor Layout Optimal Methods for Bridge Health Monitoring
Authors: Zhao Wenshuo
Published: February 2025

The arrangement of sensors is a key step in health monitoring of bridges. A reasonable layout can reduce information redundancy and costs while improving data accuracy. This paper compares the advantages and disadvantages of traditional sensor optimization methods with those based on machine learning algorithms and intelligent optimization algorithms, and analyzes the future prospects of applying these three methods.
Research on Traffic Prediction Based on Machine Learning
Authors: Deng Sujue
Published: February 2025

With the rapid acceleration of urbanization, traffic congestion has become an increasingly serious challenge for cities worldwide, impacting both economic productivity and the quality of life for residents. Efficient traffic management is essential to alleviate congestion and optimize the use of infrastructure. Traffic forecasting, which involves predicting traffic flow and congestion patterns, plays a pivotal role in enhancing traffic management systems and facilitating better decision-making. This study explores the application of machine learning techniques alongside traditional statistical methods to predict traffic flow. The experimental results show that machine learning methods offer significant improvements in forecasting accuracy, providing more reliable predictions of traffic conditions compared to conventional approaches. The findings underscore the potential of these advanced methods to improve traffic management strategies, optimize resource allocation, and reduce congestion, ultimately leading to more sustainable urban transportation systems. These insights are valuable for urban planners and policymakers looking to implement data-driven solutions to address the growing challenges of urban mobility.
Study on the Copyrightability of Objects Created by Artificial Intelligence
Authors: Dong Ruihan
Published: February 2025

With the continuous development of AI technology, the emergence of a large number of AI-generated products has brought about many urgent problems for copyright law. At the forefront of this issue is the question of whether AI-generated objects can be copyrighted. In this paper, we first summarize the consistent jurisprudential ideas through case studies: analyzing the controversial aspects of "originality" and "intellectual achievement" in the definition of works to determine whether AI-generated products are works. In terms of originality, applying the criteria of "unique" and "original", this paper analyzes and concludes that AI generators meet the requirements of "unique", but do not meet the requirements of "original", and therefore do not have originality. The analysis in this paper concludes that AI generation satisfies the requirement of "unique" but not "original", and therefore does not have originality. In terms of intellectual achievements, this paper divided the subjects who enjoy the ownership of intellectual achievements into the AI itself and the natural person who uses the AI, and analyzed and came to the conclusion that the AI is not the intellectual achievements of the above two subjects. Therefore, the generation of AI does not meet the terms of the definition of a work, is not a work within the meaning of the Copyright Act, and cannot be copyrighted.
The Biomechanical Stability of a Single Headless Compression Screw Construct to Fix Scaphoid Waist Fractures
Authors: Kwan Stephanie A. , Bridges Tiffany N. , Buchan Levi , Sedigh Ashkan , Kistler Justin M. , Tosti Rick , Kachooei Amir R. , Rivlin Michael
Published: February 2025

Background:

Scaphoid fracture fixation using a single headless compression screw (HCS) may permit unacceptable rotation at the fracture site. This study aimed to assess the biomechanical stability of a single HCS construct to fix scaphoid waist fractures.

Questions/Purposes:

(1) Does a single HCS provide rotational stability? (2) What degree of rotation is found at the central axis of a scaphoid without fixation?

Methods:

In eight fresh frozen cadavers, two parallel K-wires were placed in the scaphoid to mark rotation and an osteotomy was created at the scaphoid waist. To determine whether rotation was present between the proximal and distal poles, radiographs of the wrist at terminal range of motion (ROM) were reviewed for relative change in wire position. The fracture was then reduced, and an HCS was then advanced across the fracture; rotation was again evaluated. Rotation was quantified in the group without fixation using a sensor that measured angular rotation.

Results:

Before screw fixation, interfragmentary rotation was found to average 22.5° during flexion/extension, 19.0° during pronation/supination, and 34.0° during radial/ulnar deviation around the central axis. The radiographs after osteotomy demonstrated rotation in all specimens. After fixation with an HCS, radiographs demonstrated relative rotation of the two halves of the scaphoid in all ROMs for all specimens, except flexion for one specimen.

Discussion:

Internal angular tension was observed within the scaphoid, and rotation of 20° to 30° was noted around the central axis during simulated ROM mimicking nonsurgical treatment. A single HCS failed to prevent fragment-relative rotation at the fracture site.
Society 5.0 in the cloud: Harnessing the power of modern information technologies
Authors: Ghaderi Yasaman , Ghaderi Mohammad Reza
Published: February 2025

In the rapidly evolving technological landscape, modern innovations such as blockchain (BC), artificial intelligence (AI), and the Internet of Things (IoT) are playing a pivotal role in realizing the vision of Society 5.0. This concept envisions a harmonious integration of physical, digital, and human elements to create a sustainable and progressive future. Emerging technologies like robotics, biotechnology, quantum computing, 5G/6G networks, smart cities, and the metaverse are expected to further amplify the impact of Society 5.0, driving transformative changes across industries and societal structures. The integration of BC, AI, and IoT within cloud-based frameworks offers a robust solution to enhance security, privacy, and data management. The integration of blockchain, AI, and IoT within a cloud-based framework offers a transformative solution to address the challenges of modern societies. By leveraging these technologies, the proposed platform aims to create a secure, efficient, and sustainable ecosystem that enhances quality of life and drives progress toward the vision of Society 5.0. This approach not only tackles current societal issues but also paves the way for a more interconnected and innovative future. This article introduces a platform that seamlessly combines these technologies to provide a secure and reliable foundation for data collection, sharing, and analysis while enabling the development of smart applications that improve efficiency, productivity, and overall quality of life (QoL).
The use of modern information (digital) technologies to confirm the conclusion of contracts
Authors:   Caspian Public University, Karagussov F.S.
Published: February 2025

The issue of the extent to which Kazakh law allows the use of modern information (digital) technologies to confirm the conclusion and execution of contracts is discussed in this article. The author argues that: (i) the admissibility of an electronic form for written contracts allows the use of any electronic digital technology to express the will of any person to enter into the contract and to. Execute the transaction itself; (ii) use of mobile applications for many civil-law contracts represents a method recognized globally and within developed legal orders; (iii) Kazakhstani legislation does not create obstacles to the use of such innovative ways of formalizing contractual relations between individuals, and (iv) it seems most preferable to exclude mandatory use of an electronic digital signature when using an electronic form of a contract and leave the decision on its use in each specific case to the free discretion of the parties of the relevant transaction.
Legal regulation of agricultural land turnover in the Republic of Kazakhstan
Authors:   Caspian Public University, Kuatova A.A. , Moroz S.P. ,   Caspian Public University
Published: February 2025

The authors of the article show that the topic of scientific research is determined by the rapid development of land relations in the Republic of Kazakhstan at the end of the XX - beginning of the XXI century. Statistics show a significant prevalence of transactions with land plots, including a land lease agreement occupies a leading position. In this regard, among the urgent problems of reforming the land legislation of Kazakhstan, the issue of improving the legal regulation of rent for land is one of the most urgent.
The use for this purpose of the experience of harmonization of the legislation of the European Union in the field of legal regulation of land rents is of particular importance both for Kazakhstan and for new integration associations (EurAsEC, the Customs Union of Kazakhstan), of which it is a member. A comprehensive review of the main directions of improving the legal regulation of land rents in Kazakhstan involves an objective assessment of historical experience with all the negative and positive lessons; systematic study of the state and trends in the development of land rents in Kazakhstan at the present stage; analysis of foreign experience in solving problems in this area and the possibilities of its use in Kazakhstan realities.
Harnessing clustering and behavioral analytics for enhanced retention strategies across user-centric systems
Authors: Kaukuntla Preetham Reddy
Published: February 2025

The use of behavioral analytics and clustering to improve user retention tactics in user-centric systems is examined in this research. We create focused retention tactics that cater to certain user demands and behaviors by examining user behavior and grouping users into discrete groupings. According to our research, these data-driven tactics offer a scalable solution for various user-centric platforms while considerably increasing retention rates.
Retaining customers has become critical for businesses hoping to prosper in today's fiercely competitive business environment. Businesses now need to concentrate on keeping their current clientele and acquiring new ones. Why? It is commonly known that boosting client retention rates can result in notable expansion and financial success for businesses. However, attaining high customer retention rates necessitates a calculated strategy and a thorough comprehension of your client's requirements and behavior.
Analysis of the Implementation of Electronic Measurable Fishing Information System (e-PIT) at Tegalsari Fishing Port
Authors: . Suharta , Bintoro Sigit , Nugroho Seto
Published: February 2025

The Indonesian government, through the Ministry of Marine Affairs and Fisheries (KKP), is implementing a quota and zone-based Measurable Fishing program to ensure the sustainability of fisheries resources and optimize economic benefits in this sector. In its implementation, KKP provides an Android-based Electronic Measurable Fishing (e-PIT) application. It aims to support fishing or fish transportation operations, provide service efficiency, provide data access and monitoring, and improve data validity. The study aimed to analyze the successful implementation of the e-PIT information system at PPP Tegalsari. This research is a type of descriptive analysis research combined with survey research. Data collection techniques with purposive sampling of respondents who are fishing vessel captains, fishing vessel agents, or fishing vessel owners who use the e-PIT application at PPP Tegalsari with 100 respondents. The data analysis method uses PLS-SEM with the DeLone and McLean Information System Success Model approach. The results of hypothesis testing show a positive and significant effect on system quality on user satisfaction, information quality on usage, service quality on usage, usage on user satisfaction, usage on net benefits, and user satisfaction on net benefits. There is no positive or significant effect on system quality on usage, information quality on user satisfaction, and service quality on user satisfaction. The conclusion that can be drawn is that the implementation of the e-PIT information system at PPP Tegalsari is not empirically optimal based on the DeLone and McLean model approach, so it still has several challenges that need to be improved on system quality, information quality, and service quality.
To Assess the Effect of Tiktok on Youths' Behaviour in Molyko Community in Buea Municipality, Cameroon
Authors: Angelus Efeutlancha Forji , Lengha Mbon Princewill , Ndofor Akwo Kelvin , Lesley Forsuh , Tuh Ngong Randy , Ekwebe Awa’oma Abiambi , Beaudelaire Nopoundem Nangue Adolphe
Published: February 2025

This study aimed to assess TikTok's effect on youths' Behaviour in the Molyko community in Buea Municipality, Cameroon. The study utilized a descriptive research design. The study used a survey method for data collection. Data was collected from individual youths who consented to participate in the study. The self-administered questionnaire method was used to collect data from the participants. Simple random sampling methods were used, and the sample size of 53 participants was for the study. Descriptive statistics were used for data analysis using SPSS version 21. The findings reveal that TikTok has a significant influence on youths' behavior. The strong positive correlation between patterns of TikTok usage and youths' behavior suggests that as TikTok usage increases, certain behaviors among youths are more likely to occur. Nevertheless, given the statistically significant association between TikTok and youths' Behaviour, policymakers should consider the impact of these platforms when formulating youth well-being and mental health policies. This can be done by Incorporating digital literacy and media literacy programs into school curricula to equip youths with the skills to navigate social media platforms effectively. Teach them how to evaluate and interpret the content they encounter critically, identify potential risks, and develop strategies for responsible online participation.
MODELAGEM MATEMÁTICA E SIMULAÇÃO COMPUTACIONAL DA ADSORÇÃO DE DIÓXIDO DE ENXOFRE EM LEITO FIXO DE QUITOSANA
Authors: Sato Gabriel Augusto Lopes , Chavarette Fábio Roberto , Faria Henrique Antonio Mendonça
Published: February 2025

Esta pesquisa, inserida na área de Engenharia, foca em simulações matemáticas e no uso de softwares para modelar processos, investigando a adsorção de dióxido de enxofre (SO₂) em uma matriz de quitosana, um biopolímero promissor para a remoção de poluentes. O estudo busca compreender, teoricamente, por meio de equações diferenciais parciais, como ocorre o balanço de massa durante a adsorção em uma coluna de leito fixo. A quitosana foi escolhida devido à sua afinidade com gases poluentes e à escassez de estudos que exploram seu uso para esse fim. Utilizando métodos numéricos e softwares como Matlab e Origin, a modelagem matemática permitiu prever o comportamento do sistema em diferentes condições operacionais. Os resultados geraram gráficos que ilustram a dinâmica de adsorção do SO₂ ao longo da coluna e o impacto de variações nos parâmetros operacionais em um reator de leito fixo. As simulações indicam como as concentrações do gás variam, oferecendo uma base para pesquisas experimentais futuras. A pesquisa contribui, teoricamente, para a avaliação da viabilidade de biopolímeros na mitigação de poluentes atmosféricos, com potencial aplicação ambiental e relevância para a Engenharia.
A INTERIORIZAÇÃO DO INSTITUTO FEDERAL DE EDUCAÇÃO PROFISSIONAL E TECNOLÓGICA -CAMPUS MARAGOGI E SUAS IMPLICAÇÕES NOS ASPECTOS SOCIOECONÔMICOS LOCAIS
Authors: Oliveira Cristiane Simões , Mendonça Adriana de Lima
Published: February 2025

Este artigo problematiza o processo de interiorização do Instituto Federal no estado de Alagoas, o Campus implantado no município de Maragogi. A política de interiorização dos Institutos Federais foi iniciada a partir da sanção da Lei nº 11.892/2008, com o propósito de contribuir para a transferência de conhecimento e tecnologias, gerando mudança e desenvolvimento local. A interiorização dos Institutos Federais criou oportunidades educacionais a localidades que, historicamente, enfrentam desafios no acesso à educação superior e técnica. Com a criação de novos campi em cidades do interior, a lei visa não apenas democratizar o ensino, mas também fomentar o desenvolvimento regional, capacitando a população local e contribuindo para a formação de profissionais qualificados que atendam às demandas do mercado produtivo de trabalho. Este trabalho é descritivo exploratório de caráter documental, que tem como objetivo fazer uma análise crítica de alguns indicadores socioeconômico no sentido de entender as implicações da implantação do IFAL-Campus Maragogi nos aspectos socioeconômicos do município.
UTILIZAÇÃO DE FROTAS AUTÔNOMAS NO BRASIL
Authors: Ferreira Eduarda Borges de Deus , Erwin Ferreira
Published: February 2025

Esta pesquisa analisa o cenário atual da utilização das frotas autônomas na lavra. Por meio da análise de estudos recentes e exemplos práticos de lavras no Brasil e no mundo que já adotaram esta tecnologia, a investigação busca identificar os benefícios, e limitações, atrelados a essa abordagem. A pesquisa segue uma abordagem descritiva e utiliza coleta de dados secundários por meio de pesquisa documental e bibliográfica. Os resultados revelam os benefícios da adoção de frotas autônomas, como a redução de custos operacionais e aumento da eficiência, além de discutir as dificuldades enfrentadas na implementação. As conclusões demonstram que, apesar dos desafios, a adoção de frotas autônomas pode transformar significativamente o setor mineral.
BIOGAS ASSOCIATED WITH MULTIGENERATION SYSTEMS: A BIBLIOMETRIC REVIEW
Authors: Carvalho Igor Antonio De Oliveira , Santos Paulo Franklin Tavares , Moreira José Luciano Batista , Santos Carlos Antonio Cabral dos
Published: February 2025

The purpose of this study is to investigate articles published in the Scopus database dealing with multigeneration energy systems using biogas as fuel. This investigation was conducted by means of a bibliometric review. The free VOSviewer software was chosen to process this data, in which bibliometric networks were set up such as citations, co-authors, year of publication and keywords that listed relevant information from the articles. Based on these bibliometric networks, graphs and maps were added to this work, making it possible to infer and evaluate the results of the research field. The bibliometric review indicated that over the last two decades there has been a vertiginous growth in article production, with the last decade alone accounting for approximately 37% of all publications, even more than in the previous decade, which shows the growing interest in the subject. China leads the ranking of publications with approximately 22% of research on the subject and the top 4 countries, China, Italy, Iran and Germany, together account for approximately 60% of research. It can be concluded that these systems are increasingly studied and regarded as a promising model for energy sustainability.