bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Internet Of Things (IoT) trainer kit with Multi Communication
Authors: Madona Era , Efrizon  , Nasution Anggara , Yetrisia Rara , Devy Laxsmy
Published: April 2024

Industry 4.0, or the Fourth Industrial Revolution, is a recent technological development that has significantly changed the industrial production process. One of the keys to this change is the Internet of Things (IoT), where the role of humans is likely to diminish and be replaced by machines. Aligning the workforce with IoT is important, but creating a qualified workforce is a challenge. IoT learning modules are needed to help students understand IoT concepts. The purpose of this research is to design an Internet of Things kit module with Radio communication with LoRa SX1278 Ra-02. The research stages start from literature study, hardware design, software design and overall testing. Module testing is done by sending DHT11 sensor data using LoRa SX1278 Ra-02 and monitored in Thingspeak. From the test results that have been carried out, it can be concluded that sending using LoRa (Long Range) technology is influenced by distance and obstacles. At a distance of 40 to 230 metres, communication between the Lora Transmitter and Lora Receiver is successful, which shows that LoRa technology is able to overcome communication distances in that range. However, at a distance of more than 230 metres to 300 metres, data transmission can still be done by the Lora Transmitter, but the data cannot be received by the Lora Receiver, indicating a bottleneck in communication.
Implementation of LiDAR Sensor for Mobile Robot Delivery Based on Robot Operating System
Authors: Ahmad Agung Fiqri , Herizon H , Madona Era , Rohfadli Muhammad , Ja'far Ja'far
Published: April 2024

Recent research has focused on the development of mobile delivery robots as part of the rapidly evolving autonomous technology. The main focus is on creating mobile robots capable of efficiently delivering goods without human intervention. This involves designing systems, core technologies, and overcoming various challenges. The navigation system of the delivery robot is enhanced by the use of LIDAR (Light Detection and Ranging) sensors. One of the sensors used is the RPLIDAR A1M8 which is capable of detecting nearby objects with a distance reading of 360°. Trials were conducted to evaluate the robot's navigation performance with a load variation of 0 kg to 20 kg. The test results show that RPLIDAR A1M8 can read distances up to 1200 cm with an error rate of about 3.15%, and a minimum distance of 15 cm with an error of 1.45%. The durability of this sensor reading is well maintained, with a presentation error of only 0.4%. Mapping trials in the room produced an average error of 18.57% without tracking, and 5.02% with tracking. The weight of the load carried by the robot affects the speed and travel time. The heavier the load, the robot speed decreases from 0.264 m/s at 0 kg load to 0.127 m/s at 20 kg load. Likewise, the travel time increases with the weight of the load, from 7.6 seconds to 15.6 seconds.
Implementation of K-Nearest Neighbor for Fall Position Detection of Dementia Patients Based Microcontroller
Authors: Yulastri  , Madona Era , Devy Laxmy , Nasution Anggara , Iksan Nur
Published: April 2024

A microcontroller-based detection tool for the presence of patients with dementia has been made using the K-Nearest Neighbor (KNN) method with the help of coordinate points that can be seen via Google Maps. which is based on patient care with a patient-oriented approach. The targets of this research are (a) designing and implementing a fall detection system using the mpu6050 sensor, (b) using the (KNN) method to determine the coordinates of the location of dementia patients using GPS. The research method starts from making a prototype and measuring system performance. The test results on GPS produced an average latitude error of 0.002091% and an average longitude error of 0.000032% in Pauh District, while in Lubuk Kilangan District the average latitude error was 0.002641% and an average longitude error of 0.000150%. The KNN method with the Eucledian distance formula can help supervisors find out the nearest police station to the patient through the coordinate points detected by GPS by taking the smallest value from the comparison of values in the form of degrees between the Pauh police station and the Lubuk Kilangan police station for the patient. Overall the tool can function well.
TECHNIQUE TO ASSESS THE COMFORT OF PASSENGER TRANSPORTATION BY RAIL TO MINIMIZE THE RISKS ASSOCIATED WITH THE HUMAN FACTOR WHEN RUNNING A TRAIN
Authors: Kharchenko Pavel
Published: April 2024

The paper solves the problems of assessing the smooth running of a passenger train, the quality and comfort of passenger transportation by rail, as well as determining the level of professional competencies of locomotive crew members. A comprehensive computer model of a passenger train is developed, which makes it possible to study all the processes of controlling traction equipment and train brakes that affect energy efficiency, safety and dynamics of rolling stock. Using fuzzy logic tools, a technique is developed for rating employees of locomotive crews according to the criterion of ensuring smooth running of the train. The results of experimental trips by passenger trains on sections of the North Caucasus Railway are presented. The dependences of the locomotive traction force, the speed and the longitudinal jerk of the passenger train cars are obtained.
APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR CONTROL OF TRAFFIC LIGHTS
Authors: Fadyushin Aleksey , Pistsov Anatoly
Published: April 2024

The paper describes the use of an artificial neural network to determine the optimal parameters of traffic light regulation based on the intensity of traffic flow. At regulated intersections, there is an imbalance in the intensity of traffic flow, due to which one operation mode of traffic lights at an intersection may be ineffective. The study objective is to develop software for predicting the operating modes of traffic lights, taking into account the spatial and temporal unevenness of transport demand. Based on the simulation of traffic flows at one regulated intersection, the values of the average delay time were determined for different traffic light operating modes and traffic flow intensities, including turning ones. The artificial neural network was trained on data from 16 thousand simulations and tested on four thousand simulations. Using an artificial neural network to calculate the optimal operating mode of traffic lights reduces the delay time by 20-50% for two rush hours. A pre-trained artificial neural network can calculate the optimal operating mode of traffic lights for a specific regulated intersection in one second. The developed software can be used to implement an intelligent transport system in an automated traffic control system.
Predstavke i pritužbe protiv policijskih službenika u Republici Hrvatskoj de lege lata i de lege ferenda
Authors: Orlović Ante , Staničić Frane , Juras Damir
Published: April 2024

U ovom radu daje se analiza postojećeg zakonodavnog modela podnošenja i rješavanja predstavki i pritužbi na rad i ponašanje policijskih službenika u Republici Hrvatskoj. Nakon analize pravne regulative, stajališta pravne doktrine, sudske prakse, statističkih pokazatelja, kao i rezultata empirijskog istraživanja provedenog anketom među studentima Veleučilišta kriminalistike i javne sigurnosti u Zagrebu, daju se prijedlozi za izmjene zakonodavnog okvira. Autori su stajališta da je uvođenjem civilnog nadzora nad radom policije napravljen značajan iskorak u zaštiti ljudskih prava i nadzoru nad radom policije, međutim ističu da se institut predstavke i pritužbe često zlorabi na štetu policijskih službenika zbog čega im u svakom takvom slučaju treba pružiti pravnu zaštitu u vidu procesuiranja podnositelja koji u tim podnescima vrijeđaju policijske službenike ili ih lažno terete za počinjenje kaznenog djela. Smatraju i da je potrebno regulirati postupanje s anonimnim podnescima i detaljno propisati prava policijskih službenika čiji se rad i ponašanje provjeravaju (pravo uvida u spis, pravo sudjelovanja u postupku, pravo na dobivanje predstavke ili pritužbe i odgovora koji se dostavlja podnositelju predstavke ili pritužbe).
Unraveling the Complex Web of Long COVID symptoms: A Network Analysis Approach
Authors: van den Houdt Sophie Catharina Maria , Mertens Gaëtan , Slurink Isabel A.L.
Published: April 2024

Long COVID is a syndrome of persistent symptoms following a COVID-19 infection. With over 200 identified symptoms and ongoing debate about the central symptoms of this condition, this study aimed to explore the network structure of self-reported long COVID symptoms. Participants with persistent symptoms after a COVID-19 infection (n=458 , Mage = 36.0±11.9; 46.5% male) indicated the prevalence and severity of their long COVID symptoms using a comprehensive 114-item symptom list spanning across 10 health domains. Correlation and regularized partial correlation network analyses were performed to examine the interrelatedness of symptoms focusing on symptoms listed in international health guidelines and those with a prevalence of at least 20% in our sample. Replication analyses were performed using a second dataset from a representative Dutch sample (n=415). We find that some long COVID symptoms are closely interconnected (e.g., congestion and neurocognitive symptoms), whereas others (e.g., fatigue and dizziness) are more dispersed between clusters. Centrality indices indicated that the most common symptoms mentioned in the guidelines were not necessarily the most central in the networks. These findings were largely replicated in the second dataset. The study provides a visualization of the wide array of long COVID symptoms, revealing it as a diverse syndrome marked by different clusters of loosely connected symptoms. Although explorative, the results can be informative for potential pathogenic pathways involved in long COVID-19 symptoms and may inform future research and clinical interventions.
Spouse Support and Stress: Gender Differences in Neural Measures of Performance Monitoring Under Observation of a Spouse
Authors: Clayson Peter E , Varkala Kipras , Baldwin Scott , Steffen Patrick , Sandberg Jonathan , Larson Michael J.
Published: April 2024

Spousal support can mitigate stress’s impact on daily functioning and neural responses to stressors. However, the effectiveness of spousal support in reducing stress may be moderated by gender. The present study investigated the impact of observer presence in 66 heterosexual married couples, specifically a spouse or a confederate, on two neural indices of performance monitoring: early error detection (error-related negativity [ERN]) and later error awareness (error positivity [Pe]). Contrary to predictions, ERN was consistently smaller in observed conditions, suggesting that being observed, irrespective of the observer’s identity, diminished attention to errors. Notably, only women exhibited an enhanced ERN in the presence of their spouse, suggesting gender-specific differences in neural responses to spousal support during performance monitoring. Pe was larger when completing the task in the presence of a spouse and men displayed larger Pe than women. The present findings underscore the complex role of social context in performance monitoring, challenging existing assumptions about the uniformity of neural indices of performance monitoring during observation. Findings emphasize the need to dissect the nuanced interplay between observer presence, gender differences, and performance monitoring and offer valuable insights into the social modulation of error processing, particularly in a stressful observation context.
Relating visual and pictorial space: Integration of binocular disparity and motion parallax
Authors: Wang Xiaoye Michael , Troje Nikolaus F.
Published: April 2024

Traditionally, perceptual spaces are defined by the medium through which the visual environment is conveyed (e.g., in a physical environment, through a picture, or on a screen). This approach overlooks the distinct contributions of different types of visual information, such as binocular disparity and motion parallax, that transform different visual environments to yield different perceptual spaces. The current study proposes a new approach to describe different perceptual spaces based on different visual information. A geometrical model was developed to delineate the transformations imposed by binocular disparity and motion parallax, including 1) a relief depth scaling along the observer’s line of sight and 2) pictorial distortions that rotate the entire perceptual space, as well as the invariant properties after these transformations, including distance, 3D shape, and allocentric direction. The model was fitted to the behavioral results from two experiments, wherein the participants rotated a human figure to point at different targets in virtual reality. The pointer was displayed on a virtual frame that could differentially manipulate the availability of binocular disparity and motion parallax. The model fitted the behavioral results well and model comparisons validated the relief scaling in the form of depth expansion and the pictorial distortions in the form of an isotropic rotation. Fitted parameters showed that binocular disparity renders distance invariant but also introduces relief depth expansion to 3D objects, whereas motion parallax keeps allocentric direction invariant. We discuss the implications of the mediating effects of binocular disparity and motion parallax when connecting different perceptual spaces.
What are the standards of practical rationality for laypeople? An experimental inquiry
Authors: Grüning David Joachim , Beisbart Claus
Published: April 2024

Is it rational “to prefer even my own acknowledge'd lesser good to my greater” or “to prefer the destruction of the whole world to the scratching of my finger” (Hume, Treatise II.3.iii/1987, 416)? How we answer these questions depends on what we mean by rationality: Is it restricted to means-ends rationality or does it also involve prudence or morality? In this paper, we use experiments to determine the extent to which the folk conception of rationality aligns with the standards just mentioned. In our experiments, participants rank how similar the standards are to rationality, and evaluate decisions, in which the standards conflict with each other. We find that lay people judge instrumental rationality to be most similar to rationality in a general evaluation. However, concrete decisions that comply with moral standards are considered to be more rational than those that prioritize prudence or the agent’s given goals. The fact that different types of experiments yield different results on the association between rationality and the three normative standards hints at a central feature of folk thinking about rationality: When lay people consider what is rational, it is crucial which type of object is evaluated regarding rationality.
Minority stress and structural stigma predict well-being in European LGBTQ+ parents
Authors: Siegel Magdalena , Steyrl David , Goldberg Abbie E. , Nicholson Andrew , Zemp Martina
Published: April 2024

Objective: This study tested whether exposure to minority stress and structural stigma across multiple levels of the family system were associated with two indicators of well-being (life satisfaction, depressive symptoms) in LGBTQ+ parents across 19 European countries.Background: Minority stress (i.e., identity-based stress resulting from systemic oppression) and structural stigma (i.e., hostile legal environments, prejudicial social attitudes) are heterogeneous, yet well-documented risk factors of reduced well-being within LGBTQ+ populations. However, a comprehensive assessment stratifying both concepts across multiple levels of the family system (i.e., the individual, couple, and family level) is lacking for LGBTQ+ parents.Method: Using data from the EU LGBTI Survey 2019, a sample of 3,808 LGBTQ+ parents from 19 European countries was analyzed. Associations between self-reported minority stress indicators, objective structural stigma indicators, sociodemographic predictors, and well-being were tested using non-linear, machine learning-based techniques (gradient boosted decision tree models). Results: Supporting preregistered hypotheses, exposure to individual-level minority stress and individual- and family-level structural stigma predicted life satisfaction and depressive symptoms. Couple-level minority stress predicted life satisfaction, but not depressive symptoms, and family-level minority stress predicted neither. Trans parents and those facing economic burdens were particularly vulnerable to low well-being.Conclusions: Exposure to minority stress and structural stigma, particularly within highly stigmatizing regions, are risk factors for LGBTQ+ parents’ well-being. Future research should examine the role of family-level minority stress using validated measures.
Intersectional Race-Gender Stereotypes in Natural Language
Authors: Bao Han-Wu-Shuang , Gries Peter H.
Published: April 2024

How are Asian and Black men and women stereotyped? Research from the gendered race and stereotype content perspectives has produced mixed empirical findings. Using BERT models pre-trained on English language books, news articles, Wikipedia, Reddit, and Twitter, with a new method for measuring propositions in natural language (the Fill-Mask Association Test, FMAT), we explored the gender (masculinity-femininity), physical strength, warmth, and competence contents of stereotypes about Asian and Black men and women. We find that Asian men (but not women) are stereotyped as less masculine and less moral/trustworthy than Black men. Compared to Black men and Black women, respectively, both Asian men and Asian women are stereotyped as less muscular/athletic and less assertive/dominant, but more sociable/friendly and more capable/intelligent. These findings suggest that Asian and Black stereotypes in natural language have multifaceted contents and gender nuances, requiring a balanced view integrating the gender schema and the stereotype content model. Exploring their semantic representations as propositions in large language models, this research reveals how intersectional race-gender stereotypes are naturally expressed in real life.
The Vacuity of Ludwig von Mises’ Apriorism
Authors: Scheall Scott
Published: April 2024

Ludwig von Mises’ methodological apriorism is often attributed to the broader Austrian School of economics. However, there is considerable controversy concerning the meaning of Mises’ justification of his apriorism. There are inconsistencies within and across Mises’ methodological writings that engender confusion in the secondary literature. This confusion is aggravated by the fact that Mises’ apriorism cannot be interpreted as an artifact of his historical milieu. The two prevailing families of interpretation both treat Mises’ apriorism as anachronistic, albeit in divergent senses. I conclude that the primary and secondary literatures on Mises’ apriorism indicate its inconsistency and incoherence. We have no idea what justification Mises intended when he asserted the a priori nature of the fundamental propositions of economics. If this is right, then, whatever method(s) they follow, Austrian economists cannot (deliberately) follow Mises’ apriorism, because no one knows well enough how Mises meant to justify it to follow it purposefully.
The Export of Capital to Colonies and the Falling Rate of Profit in Economic Thought: 1776-1917
Authors: Walke Adam
Published: April 2024

Classical political economists developed several different explanations for what they saw as an inherent tendency for the rate of profit to decline over time. In the second quarter of the nineteenth century, some British advocates of colonization developed a corollary to those theories, suggesting that exporting capital to colonies could help arrest and reverse the decline. That argument was championed by the English political economist and promoter of colonization projects Edward Gibbon Wakefield, and it was systematized by John Stuart Mill. Ironically, the view that capital export and colonization played crucial roles in sustaining the rate of profit in advanced economies was later adopted by some Marxist theorists. Parallels between Karl Marx and J.S. Mill may help explain the remarkable theoretical continuity on this topic between nineteenth-century British advocates of colonization and early-twentieth-century Marxist critics of colonialism.
Geo-political rivalry and anti-immigrant sentiment. A conjoint experiment in 22 countries
Authors: Wimmer Andreas , Bonikowski Bart , Crabtree Charles , Fu Zheng , Golder Matt , Tsutsui Kiyoteru
Published: April 2024

(This article has been accepted for publication by the American Political Science Review). Introducing an international relations perspective into the literature on anti-immigrant attitudes, we hypothesize that immigrants from rival countries will be shunned and immigrants from allied countries preferred, especially by respondents who identify more strongly with the nation. We fielded a forced-choice conjoint experiment in 22 countries, whereby respondents chose between applicants for permanent resident status with randomized attributes. We identified rival and allied countries of origin for each surveyed country, with one such pair sharing a similar racial and cultural make-up as the majority of respondents, and one pair being more dissimilar. We find that discrimination against immigrants from rival states is so pronounced that it results in net preference for racially and culturally dissimilar immigrants. Since we fielded the surveys amidst the Russian invasion of Ukraine, we are able to leverage exogenous changes in the intensity of one rivalry, providing further evidence for the proposed mechanism.
Stablecoins: New perspectives for travel and tourism
Authors: Manahov Viktor , Li Mingnan
Published: April 2024

Existing research has not fully delved into stablecoins' role in the travel and tourism sector. Our study uniquely explores their practical uses in this sector, showcasing their benefits in streamlining payments, cutting costs, and fostering sustainable growth. We also address their potential to enhance travel experiences and promote travel sustainability, noting the regulatory and technical challenges ahead. Overall, our research underscores the value of stablecoins in the travel and tourism sector, offering new perspectives for future research and practice.
A Framework for Testing Theories of Criminal Decision-Making Using VR Scenarios and Process Tracing and its Application to Situational Action Theory
Authors: Herrmann Christoph
Published: April 2024

This article argues that process models of criminal decision-making require not only data capturing the inputs (person and setting characteristics) and outputs of a decision process (intention/action), but also data pertaining to the decision process itself. It further proposes a rigorous methodological framework, referred to as the virtual reality process tracing approach (VRPTA), which allows researchers to test predictions not only about what decisions people make but also about how they make them. It brings together the process tracing methodology used in the cognitive, social and behavioural sciences and combines it with experimental VR scenarios used in criminology. The result is a versatile methodological framework that utilises real-time decision-making by study participants immersed in experimentally manipulated VR environments, along with process tracing techniques that allow researchers to open the black box of decision-making. To make the contribution as tangible as possible, this article discusses the novel methodological approach by reference to its application in the context of Situational Action Theory’s (SAT) perception choice process (PCP). With some modification it may also be used for a range of other process-oriented theories in criminology and beyond.
Preference reversals in judgment and choice
Authors: Selart Marcus
Published: April 2024

According to normative decision theory there exists a principle of procedure invariance which states that a decision maker's preference order should remain the same, independently of which response mode is used. For example, the decision maker should express the same preference independently of whether he or she has to judge or decide. Nevertheless, previous research in behavioral decision making has suggested that judgments and choices yield different preference orders in both the risky and the riskless domain. In the latter, the prominence effect has been demonstrated. The main purpose of the present series of experiments was to test cognitive explanations which account for the prominence effect. One of the explanations provided a psychological account based primarily on decision-strategy compatibility. Two other explanations built on information structuring approaches. In the first one, the general idea was that decision makers differentiate between alternatives by value and belief restructuring. In the second approach, violations of invariance were assumed to be attributed to the information structure of the task which in many cases demand problem simplification. A prominence effect was in most experiments found for both choices and preference ratings. This finding spoke against the strategy compatibility explanation. Instead, the different forms of cognitive restructuring provided a better account. However, none of these provided a single explanation. Yet, the structure compatibility explanation appeared to be the more viable one, in particular of the relation between experimental manipulations and response mode outcomes. The predictions of the value-belief restructuring explanation, on the other hand, seemed to be more valid for the prominence effect found in choice than for preference ratings.
Merchants of Migrant Domestic Labour: Recruitment Agencies and Neoliberal Migration Governance in Southeast Asia
Authors: Chee Liberty
Published: April 2024

This draft contains parts of the conclusion of the book manuscript with the same title as above. The book unpacks the “market logic” of private recruitment and employment agencies as actors in migration governance. It looks into why these actors play such an outsized role in domestic worker migration, and examines their relations with employers, workers and state apparatuses. The book argues that these relations comprise neoliberal migration governance – a governmental rationality that cedes authority to the market.
How do decision heuristic performance and social value orientation matter in the building of preferences?
Authors: Selart Marcus , Boe Ole , Takemura Kazuhisa
Published: April 2024

In the present study it was shown that both decision heuristics and social value orientation play important roles in the building of preferences. This was revealed in decision tasks in which participants were deciding about candidates for a job position. An eye-tracking equipment was applied in order to register participants´ informationacquisition. It was revealed that participants performing well on a series of heuristics tasks (availability, representativeness, anchoríng & adjustment, and attribution) including a confidence judgment also behaved more accurately than low performers in the fulfillment of the preference tasks. It was also established that the high performers were not as influenced bywhether uncertainty was presented in terms of probabilities or in terms of frequencies as was the low performers. With regard to social value orientationthe results revealed that decision processing differences were more systematic between cooperators and competitors than between cooperators and individualists. Also, the cooperators did not seem to attend more to pro-environmental goals than to profit goals in the evaluation of the candidates. Finally, it was shown that accountable cooperators invested more time in their decisions than those that were not accountable, and that no such difference was observed between accountable and not accountable competitors or individualists.
Corruption Convictions and Legislative Party Switching
Authors: Pârvulescu Radu Andrei , Popova Maria
Published: April 2024

Anticorruption campaigns increasingly involve the criminal prosecution of perpetrators of grand political corruption. While curbing political corruption may be a worthwhile cause it comes with unintended political side-effects, including the destabilization of legislative party systems. Using original datasets on corruption convictions and legislative behavior in Romania’s parliament from 2008 to 2020, we estimate the effects of criminal convictions on legislative party switching. We find that corruption convictions of party leaders and cabinet ministers from one’s party significantly increase the probability of MPs switching to another party. This evidence suggests that anticorruption campaigns are a double-edged sword: criminal convictions of perpetrators of grand corruption may enhance accountability, but they also destabilize party systems by fueling legislative party switching.
Organizational Learning and Performance of Nepalese Banks
Authors: Bhusal Bharat
Published: April 2024

This study delves into the significance of organizational learning in Nepalese public and private banking institutions, with a focus on understanding its impact on operational efficiency. Employing a Structural Equation Modeling (SEM) approach, the research scrutinizes the relationship between organizational learning and bank performance, utilizing primary data gathered through a descriptive methodology. Drawing from a sample of 3 public and 11 private banks, encompassing 560 questionnaires with 40 respondents from each institution, the investigation reveals a substantial and positive correlation between organizational learning and the performance metrics of banks in Nepal. These findings underscore the importance of fostering organizational learning initiatives, suggesting profound implications for enhancing operational efficiency and effectiveness within the Nepalese banking sector. Moreover, the research underscores the pivotal role of organizational learning as a fundamental driver of capable functioning in both public and private sector banks. By elucidating the symbiotic relationship between organizational learning achievements and banking performance, the study advocates for managerial attention towards cultivating a learning-oriented atmosphere within these financial entities. Ultimately, the study emphasizes the intrinsic value of organizational learning as a strategic force for enhancing the performance dynamics of Nepalese banks, advocating for sustained managerial investment in nurturing a culture conducive to continuous learning and knowledge acquisition.
Satisfaction of Management Students towards online Classes during Covid-19 Pandemic in T.U.
Authors: Gyawali Achyut , Subedi Dhruba Prasad
Published: April 2024

This study examines the satisfaction level of Management students towards online classes during covid-19 pandemic in T.U. The effect of Covid-19 on educational institutions has interrupted the traditional method of teaching and learning which ultimately created the demand of online classes. This study aims to find out the perception and satisfaction of MBS Program students who have attended their classes through online mode during the Covid-19 pandemic. To achieve the research objective, the data were collected from the primary source mainly through structure questionnaire under convenience sampling basis from 384 respondents of MBS students of Kathmandu valley who has attended the online classes. Pearson correlation and multiple regression analysis has been used to determine the relationship and impact of the dimension of online classes and the satisfaction level of students. The study revealed that technology plays an important role for the effectiveness of online classes which supports for the enhancement of the satisfaction level of students towards online classes. The study showed that due to the frequently power cut off and unstable internet network problems faced by the students during their online classes. The internet facility available for teaching and learning activities is not so good so that the level of satisfaction of the students towards online classes is decreased. The study also revealed that the instructors and learners both should be updated with the latest and modern technology for the effectiveness of the online classes.
Understanding the Quality and Performance of Work from the Perspective of Sustainable Work
Authors: Bastos Lorena Bittencourt , Amorim Marlene , Rodrigues Mário
Published: April 2024

Many work contexts are now characterized by the adoption of dig­ital technologies. As digital contexts become ubiquitous in both work and personal contexts the characteristics of workspaces change. This drives the call for understanding how they affect the quality of work and the well-be­ing of individuals. This study examines the factors that determine the qual­ity and sustainability of the workforce, channeling studies involving remote working. The paper is based on a systematic review of the literature address­ing work quality and sustainability in remote working contexts. The study builds on recent research work conducted by Eurofound, the European Foun­dation for the Improvement of Living and Working Conditions, subscribing to the dimensions proposed to frame the work on sustainability and to catego­rize the findings from the literature. The paper aims to identify variables that affect the satisfaction, well-being and productivity of remote workers. The study builds on the Scopus database, for critical and exploratory analysis of the concepts addressed in the term “sustainable work”, searching in abstract or title, between 2018 and 2023, leading to the identification of 243 publica­tions. The study allows for the advancement of our perception regarding the impact and relevance of the theme addressed in the work, and that can be used as a basis for the continuation of the study, in the development of sus­tainable management strategies focused on facing the challenges of imple­mentation of effective remote work systems.
Female Education and Entrepreneurship in the Service of Sustainable Development in Serbia
Authors: Vucetic Ivana , Kirin Snezana , Popovic-Pantic Sanja
Published: April 2024

The business world is rapidly changing adopting new technol­ogies and business models. It affects entrepreneurship, which is one of the most important factors of sustainable development. In recent years, the im­portance of female entrepreneurship has increased, because more and more women have started to get involved in entrepreneurial activities. Among the main factors influencing female entrepreneurship are education, which gives women the knowledge to succeed as entrepreneurs, and finance, which en­ables women to start their businesses. In order for entrepreneurship to be suc­cessful, it is of great importance to constantly improve business, which im­plies constant investment in education and training, and stable income as the source of further investment in business growth. This paper aims to investi­gate the importance of female education for successful female entrepreneur­ship and sustainable development in Serbia, by examining the correlation be­tween the education level and: the annual income, and the investment in life­long learning.
Customer Genetic Data for Sustainability and Innovation Management
Authors: Ivanova-Kadiri Ivelina
Published: April 2024

The availability of affordable genetic testing has enabled the col­lection of vast amounts of genetic data, creating new opportunities for mar­keting management. The use of genetic data empowers companies to de­velop personalized products and services and enhance customer relation­ship management. This, in turn, creates a competitive advantage for boost­ing companies’ strategic market positioning by enhancing their sustainabil­ity and innovation policies. This review paper aims to explore how business­es can leverage genetic data for sustainability and innovation management. The framework presented outlines the integration of genetic data into differ­ent stages of sustainable product development thus allowing for precision targeting through responsible innovation management. The paper also ex­amines the potential ethical and legal implications of using genetic data in marketing management.
From Content Creators to Business Innovators: The Entrepreneurial Impact of YouTube Influencer Channels
Authors: Ercegovac Ivana , Tankosić Mirjana , Vlahović Andrea
Published: April 2024

Social media’s transformative impact has led YouTube influencers to assume roles as content creators and entrepreneurs. This study delves into their innovative strategies encompassing revenue models, brand collabora­tions, and audience engagement. Ad revenue, sponsorships, subscriptions, merchandise sales, and crowdfunding form the diverse income streams. Af­filiate marketing and product placements foster new business avenues. Niche content and data insights elevate audience interaction. Supported by platforms like Patreon, varied revenue channels drive sustainable financial growth. Collaboration strategies, such as endorsements, invigorate the dig­ital economy. Entrepreneurial impact resonates through job creation, small business support, and innovation. Ethical considerations ensure sustainable growth. This study guides aspiring entrepreneurs and marketers by accentu­ating diverse revenue streams, strategic partnerships, and audience engage­ment. Future exploration may assess the endurance of influencer entrepre­neurship, its effects on traditional media, and emerging platforms’ nurturing of entrepreneurial endeavors.
Demoethics and the Sustainable Development Paradigm
Authors: Zhanbayev Rinat A. , Irfan Muhammad , Fareed Zeeshan , Shutaleva Anna V. , Maksimov Daniil G.
Published: April 2024

This article explores the challenges faced by humanity in the age of globalization, specifically in the context of anthropological catastrophes. The authors argue that the rapid pace of technological advancement has created an imbalance between technical progress and cultural transformation, leading to a crisis of identity and morality. The article examines the root causes of this imbalance. In response to these challenges, the article proposes a new approach to creating good people and good societies through the cultivation of virtue and knowledge. Drawing on insights from anthropology, sociology, and philosophy, the authors argue that demoethics is the key to achieving sustainable development and social justice. The article provides a detailed analysis of the concept of demoethics, including its historical roots. This article offers a thought-provoking analysis of the complex challenges facing humanity in the 21st century and provides a compelling argument for the importance of cultural transformation and ethical values in achieving a more just and sustainable world.
Macroeconomic Concentration Index of Corporate Sector Companies
Authors: Pomazanov Mikhail , Loginova Nadezhda
Published: April 2024

The high concentration of assets and revenues of corporations or large enterprises on a national scale represents a risk that can hinder sustain­able development. For instance, in terms of a bank’s loan portfolio concentra­tion risk is so crucial that it is a separate significant type of risk in addition to credit risk. In the proposed article a corporate sector concentration index was constructed for countries for which revenue data of TOP-50 or TOP-100 larg­est enterprises is accessible from open sources. The index is based on the re­vealed pattern of decrease in the volume indicator of the company (revenue, assets) of the order of 1⁄n^z, where n is the serial number of the companies ranked in descending order of the indicator, and z is a country-specific pa­rameter. Based on all possibly available open statistics, providing data on 30 countries, the consistency of the statistical hypothesis about the dependence of the corporate sector concentration index on the Human Development In­dex and Ease of doing business is substantiated.
Financial Performance and Large Sustainable Companies: What Relationships in the Italian Blue Chips of the MIB ESG Index?
Authors: Baldissera Annalisa
Published: April 2024

This study aims to analyze the relationship between financial per­formance and ESG performance with particular reference to a market seg­ment characterized by high liquidity. The research concerns, in fact, the Ital­ian blue chips that make up the MIB ESG index, that is, the first forty com­panies among the best sixties. The methodology used is based on a sample of the top ten companies in the index and uses regression analysis, assum­ing liquidity ratio, debt ratio, ROE and ROA as independent variables, while dependent variables are ESG scores. The results show that relationships be­tween variables are mostly positive. However, they are still rather weak and therefore have room for improvement. The study helps to deepen the knowl­edge of a market segment still little studied in the literature.
The Role of Learning in Nurturing Knowledge, Attitude, and Practice of Toilet Hygiene Among Youth in Malaysian University
Authors: Abd Manan Kamaruzzaman , Ahmad Zeti Azreen , Ahmad Tajuddin Siti Nor Amalina , Ali Roslan
Published: April 2024

In Malaysia, the cleanliness of public toilets continues to be a challenge. A dirty toilet could become a site that spreads diseases and hurts the image of the country as a whole. Even though campaigns promoting good toilet hygiene practices have been ongoing since 1997, not much has been achieved from these campaigns. A good toilet hygiene practice requires knowledge and the right attitude among users. Therefore, early education is required to shape the public’s perception and influence their practice of toilet hygiene. Hence, this study selected the Knowledge Attitude and Practice (KAP) theory to measure the factors influencing university students’ toilet hygiene practices. Moreover, the education factor was added to the model to see how the teaching and learning process affects the knowledge and attitude of youth. This study used the partial least squares (PLS) method and structural equation modelling (SEM) software to examine the selected factors. The results show that respondents level knowledge (87%), attitude (88%), practice (81%) and education (79%) on toilet hygiene are high. Moreover, education, knowledge, and attitude have a significant influence on the practice of toilet hygiene. This study has extended the KAP theory by adding education as a factor that influences youth’s knowledge and positive attitude towards toilet hygiene. The findings are useful for policymakers, higher education institutions, and public relations (PR) practitioners in their effort to improve campaign strategies to generate attitudal and behavioural change towards hygiene and cleanliness issues.  Limitations and suggestions for future research are also included in this paper.
Where is the missing chicken bone? A case of foreign body cystic bronchiectasis
Authors: Zainal Nur Farhanah , Haroon Raihanah , Ahmad Nur Fathihah
Published: April 2024

Aspiration of foreign body among adult usually occur in geriatric populations and those with impaired airway reflexes from a neurologic abnormality, altered mental status resulting from sedative or alcohol use, or trauma with decreased levels of consciousness. Symptoms are usually acute requiring prompt intervention. Longstanding neglected foreign body aspiration can cause irreversible damage to the lung parenchyma and respiratory tract with residual respiratory sequalae. Here we present a rare case of a healthy lady who experience chronic productive cough and recurrent chest infections due to neglected foreign body aspiration leading to irreversible cystic bronchiectasis of the lung.
Patients’ satisfaction and quality of life after dental implant rehabilitation: A cross-sectional study
Authors: Saad Noor Asyikin , Omar Nuzul Izwan , Ahmad Yaziz Yuhaniz , Abdul Manab Enny Esdayanty
Published: April 2024

Perceiving patients’ satisfaction and improving patients’ quality of life is a challenging task. This study aimed to assess the patient’s quality of life and satisfaction after receiving a dental implant rehabilitation. All patients with dental implant placed between 2015 and 2019 were included. A self-administered questionnaire consisted of a demographic, patient satisfaction assessment, and the short version of the Malaysian Oral Health Impact Profile, S-OHIP (M) questionnaire. The patients indicated their rate on a 5-point Likert scale from 0 to 4. Statistical analyses were made using the SPSS version 26, statistical significance was considered for p<0.05. A total of 58 patients with 91 implants completed the questionnaire were included. In general, the majority of participants 56 (96.6%) were satisfied with the dental implant mainly with the speech function and maintenance procedure. The Cronbach’s Alpha coefficient for the nine items of satisfaction was 0.798. The mean OHIP-14 score was 2.1 (SD: 3.11; range from 0 to 12) with the highest score for psychological discomfort (mean: 0.92, SD: 1.35) and the lowest score for psychological disability (mean: 0.00, SD: 0.00). All domains of OHIP-14 had Coefficient of Variance, CV > 1 (ranged from 1.47 to 8.77) which considered being high variance. Overall, all participants had OHIP-14 scores ranging from 0 to 12 which can be considered a low score that indicated higher Oral Health-Related Quality of Life (OHRQoL). The correlation between patient satisfaction and quality of life is significant (P<0.05).
Motivação no triathlon: uma revisão sistemática de literatura
Authors: Cruz Letícia Maria Cunha da , Meireles Juliana Fernandes Filgueiras , Chaves Aline Dessupoio , Neves Clara Mockdece , Ferreira Maria Elisa Caputo
Published: April 2024

O objetivo desse estudo, a partir de uma revisão sistemática, foi: a) analisar o nível motivacional de triatletas; b) examinar os fatores intrínsecos e extrínsecos que influenciam a motivação no Triathlon; c) caracterizar as variáveis associadas à motivação nesse esporte. A busca por artigos científicos foi realizada nas bases Scopus, PubMed, Biblioteca Virtual em Saúde (BVS) e Psycinfo, onde foram encontrados 256 artigos que passaram por um processo de análise. Nos 23 artigos selecionados o nível de performance, sexo e faixa etária foram fatores determinantes para determinação da motivação, indicando a necessidade de considerar o cenário competitivo. A distinção entre motivação intrínseca, impulsionada por desafios pessoais, e extrínseca, vinculada a recompensas externas, foi evidenciada em parte dos estudos. Variáveis psicológicas como dependência ao exercício físico, insatisfação corporal, restrição alimentar, ansiedade, identidade com o exercício físico e satisfação com a vida foram identificadas, destacando a complexidade psicológica no Triathlon. Esses resultados reforçam a importância de intervenções personalizadas para promover um engajamento consistente e sugerem pesquisas futuras em motivações específicas e estratégias de intervenção adaptadas a cada grupo demográfico.