bluuebunny/crossref_metadata_2025 huggingface dataset:
Corporate Social Responsibility and Consumer Behavior in Sports: Exploring and Adapting a Participatory Sports Scale
Authors: Lagoudaki Georgia , Tsitskari Efi , Karagiorgos Thomas , Yfantidou Georgia , Tzetzis George , Tsiotras George
Published: July 2024

There has been a noticeable shift towards sustainability in participatory sport, emphasizing practices such as corporate social responsibility (CSR) initiatives. However, a credible international evaluation tool for assessing the effectiveness of CSR initiatives in sport and recreation services is lacking. This study aimed to adapt and validate a CSR questionnaire for Greek participatory sport, focusing on tennis. The influence of CSR on consumer trust and loyalty was also investigated. A sample of 250 tennis players from a private club in a Greek city participated. A questionnaire assessing CSR in environmental, economic, and social dimensions, was selected after an extensive literature review. Statistical analyses confirmed the questionnaire as a valid and reliable tool for assessing CSR among recreational sports participants. The results indicated that CSR initiatives significantly enhance participants’ trust in the club, which in turn bolsters the club’s credibility. However, CSR initiatives do not directly influence participants’ loyalty; instead, trust mediates the relationship between CSR and loyalty. This underscores the need to strategize on how to convert trust into sustained loyalty. The findings highlight the importance of CSR in building trust, protecting corporate reputation in times of crisis, and supporting long-term sustainability. They provide valuable insights for researchers and sport and recreation managers.
Predicting the Influence of Ammonium Toxicity Levels in Water Using Fuzzy Logic and ANN Models
Authors: Trach Yuliia , Trach Roman , Kuznietsov Pavlo , Pryshchepa Alla , Biedunkova Olha , Kiersnowska Agnieszka , Statnyk Ihor
Published: July 2024

The study aimed to address the complex and critical issue of surface water quality monitoring by proposing a diversified approach that incorporates a range of chemical indicators. (1) Background: the purpose of the study was to address the problem of surface water quality monitoring in relation to the toxic effects of ammonium on aquatic ecosystems by developing predictive models using fuzzy logic and artificial neural networks. (2) Water samples from the Styr River, influenced by the Rivne Nuclear Power Plant, were analyzed using certified standard methods and measured parameters, while fuzzy logic and artificial neural network models, including Mamdani’s algorithm and various configurations of activation functions and optimization algorithms, were employed to assess water quality and predict ammonium toxicity. (3) A fuzzy logic system was developed to classify water quality based on ammonia content and other parameters, and six Artificial Neural Network (ANN) models were tested, with the ANN#2 model (using ReLU activation and ADAM optimizer) showing the best performance. (4) This study emphasizes the critical need for precise monitoring and modeling of total ammonium in surface water, considering its variable toxicity and interactions with environmental factors, to effectively protect aquatic ecosystems, namely ichthyofauna.
Going Sustainable or Going Extinct: The Consequences of Clean Technologies, Green Finance, and Natural Resources on the Environment
Authors: Hossain Md. Emran , Ullah Ehsan , Rehman Mohd Ziaur , Haseeb Mohammad , Esquivias Miguel Angel
Published: July 2024

Although “green” and “clean” are key terms in sustainable environmental development, the literature on the relationship between green finance, clean environmental technology, and a sustainable environment is lacking. Furthermore, the exploitation of natural resources may provide a distinctive perspective on this interconnection, contributing to more promising policy ramifications for the future planet. Thus, this study examines the impact of sustainable environmental technologies, green finance, natural resource rents, and economic growth on environmental sustainability, proxied by the novel “Environmental Sustainability Index (ESI)”. This analysis utilizes data spanning from 2000 to 2021 for China, applying the cutting-edge “augmented autoregressive distributed lag (AARDL)” model. The findings indicate that sustainable environmental technologies do not effectively enhance long-term environmental sustainability, but rather provide a positive contribution to the environment in the short term. In addition, economic expansion and the exploitation of natural resources have adverse effects on environmental sustainability, both in the near term and over an extended period. Nevertheless, green finance has a significant role in promoting environmental sustainability in China. This study further reveals the causal relationship between the chosen variables. This study highlights the necessity of developing a comprehensive strategy aimed at enhancing environmental sustainability and green finance. This can be achieved by allocating funds towards the advancement of clean environmental technology and the extraction of eco-friendly natural resources.
The Economic Dynamics of Desktop and Mobile Customer Analytics in Advancing Digital Branding Strategies: Insights from the Agri-Food Industry
Authors: Kanellos Nikos , Terzi Marina C. , Giannakopoulos Nikolaos T. , Karountzos Panagiotis , Sakas Damianos P.
Published: July 2024

In the agri-food industry, strategic digital branding and digital marketing are essential for maintaining competitiveness. This study examines the economic dynamics and impact of desktop and mobile customer analytics on digital branding strategies within the sector. Through a comprehensive literature review, this research utilizes empirical evidence to validate hypotheses regarding the influence of desktop and mobile analytics metrics on key digital branding metrics and value creation. This study explores various branding indicators by utilizing descriptive statistics, correlation analyses, regression models, and fuzzy cognitive mapping (FCM). The findings reveal significant correlations between desktop and mobile analytics and digital branding outcomes, underscoring the critical role of digital analytics and Decision Support Systems (DSSs) in shaping modern branding strategies in the agri-food industry. This study highlights the economic implications of desktop and mobile customer analytics on digital branding, providing insights to enhance market performance and foster sustainable growth in the agri-food sector.
Sustainable Cultivation of Discipline Competition Programs for Innovation and Entrepreneurship Education: An Example of the Food Science and Engineering Major
Authors: Kong Xiaoqi , Zeng Qinghua , Guo Xingfeng , Kong Feng
Published: July 2024

Cultivating innovative and entrepreneurial talents has become the responsibility and mission of higher education. It reflects the effectiveness of education in terms of teaching quality, scientific prowess, and social service. Discipline competitions played a significant role in fostering innovation and entrepreneurship ability, serving as a crucial component of innovation and entrepreneurship education in colleges. This study used the food science and engineering major as an example to address the gap between theoretical knowledge teaching and the actual production process. It aimed to improve the poor performance of innovative practices by establishing a sustainable cultivation model for discipline competition programs. There needs to be an investigation into the conduct of disciplinary competitions and the students’ participation in them. Then, a model comprising a “theory + experiment + practice” course to guide students in participating in competitions should be formed. A rational and sustainable innovation team and a collaborative innovation platform for school–enterprise integration needs to be built. In order to achieve sustainable development education and cultivate applied talents who can solve complex problems in food engineering, the sustainable cultivation model was established. This work could serve as a reference for developing professional discipline competitions and fostering innovative and entrepreneurial talents for sustainable development.
How Does Digital Finance Affect Sports Enterprise Innovation? Evidence from Chinese Sports Listed Enterprises
Authors: Li Dewu , Wu Zhusheng , Wu Qianjin
Published: July 2024

In the context of the digital economy, digital finance has emerged as a new driving force for the sustainable and high-quality development of the sports industry. The sports industry promotes economic growth, social well-being, and environmental sustainability. However, the sustainable development of the sports industry faces challenges such as insufficient innovation and a lack of diverse financing channels. This study has investigated the impact of digital finance on sports enterprise innovation in China, focusing on the mediating role of financing constraints. Employing a panel dataset of 95 listed Chinese sports enterprises from 2011 to 2020, we conducted random-effects GLS regression and mediation analyses to examine the interrelationships among digital finance, financing constraints, and sports enterprise innovation. The empirical results have confirmed the positive role of digital finance in promoting sports enterprise innovation and alleviating financing constraints. Financing constraints negatively influence sports enterprise innovation and partially mediate the relationship between digital finance and innovation. The heterogeneity analyses have revealed that the impact of digital finance on innovation was more pronounced in the eastern region of China, and among both the major and small and mid-sized sports enterprises, with the latter potentially benefiting more. Our findings have highlighted the transformative potential of digital finance in driving inclusive innovation within the sports industry by providing accessible financing solutions and reducing information asymmetries. This study has contributed to the literature on digital finance, financing constraints, and enterprise innovation in the sports industry context, offering valuable insights for sports enterprises, policymakers, and financial institutions in leveraging digital finance to foster innovation-driven growth.
Efficient Operation Algorithm of UAVs for Tourist Safety: Case of the Hallasan Mountain Trail in Jeju Island
Authors: Ko Young Kwan , Ko Young Dae , Han Hyeseon , Oh Yonghui
Published: July 2024

Tourist safety is one of the most important factors for tourists when choosing a tourism destination. Jeju Island’s Hallasan Mountain Trail is a trail that connects the mid-slope of Hallasan, the main mountain on Jeju volcanic island, and boasts very beautiful scenery. However, tourist safety has become an issue as accidents continue to occur every year. In this study, an efficient operation algorithm that can minimize the total cost with a mixed-integer linear programming (MILP) model is developed, considering the introduction of a UAV patrol system on the Hallasan Mountain Trail, which is difficult to access by vehicles. The application of different speeds for patrol and nonpatrol routes, the selection of candidate sites for UAV stations with easy vehicle access, and the sensitivity analysis of patrol speed and maximum operation time considering the performance improvement of UAVs are the contributions of this study. The results show that stations are installed as close as possible to the trail courses and that lower-performance UAVs are utilized that can patrol the trail courses at a given time. The sensitivity analysis also confirmed that the total cost can be minimized by reducing the number of stations and UAVs or replacing higher-performance UAVs with lower-performance UAVs.
Driving the Transport Electrification: Exploring Stakeholders’ Perceptions and Actions in the Indonesian Automotive Industry Transition to Electric Mobility
Authors: Habiburrahman Muhammad , Nurcahyo Rahmat , Ma’aram Azanizawati , Natsuda Kaoru
Published: July 2024

The rise of all types of electric vehicles (xEVs) is reshaping the global automotive sector, marking a new era of electric mobility (eMobility). While existing research predominantly explores the transition towards eMobility from the perspectives of automakers, governments, and users, a notable gap exists regarding the role of internal combustion engine (ICE) component manufacturers. This research aims to examine the transformative journey of the Indonesian automotive industry, specifically focusing on the strategic responses of Indonesian ICE component manufacturers towards eMobility. This study employs a multi-level perspective (MLP) approach through 12 semi-structured interviews with stakeholders representing government bodies, associations, automakers, academia, startups, and ICE component manufacturers. This research sheds light on stakeholders’ perceptions and actions in the transition to eMobility. The findings reveal various factors influencing transition, including current low xEV demand, companies’ perceptions of xEVs, huge investments, changes in the supply chain, technological capabilities, and government policies. This research provides an overview of the strategies for ICE component manufacturers, along with their risks and advantages. This research also recommends two policies for the Indonesian government: a gradual transition and more support for local xEV and component manufacturing.
Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach
Authors: García-Gutiérrez Víctor , González Adrián , Cuevas Erik , Fausto Fernando , Pérez-Cisneros Marco
Published: July 2024

The challenges associated with conventional methods of COVID-19 detection have prompted the exploration of alternative approaches, including the analysis of lung X-ray images. This paper introduces a novel algorithm designed to identify abnormalities in X-ray images indicative of COVID-19 by combining the maximally stable extremal regions (MSER) method with metaheuristic algorithms. The MSER method is efficient and effective under various adverse conditions, utilizing symmetry as a key property to detect regions despite changes in scaling or lighting. However, calibrating the MSER method is challenging. Our approach transforms this calibration into an optimization task, employing metaheuristic algorithms such as Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Firefly (FF), and Genetic Algorithms (GA) to find the optimal parameters for MSER. By automating the calibration process through metaheuristic optimization, we overcome the primary disadvantage of the MSER method. This innovative combination enables precise detection of abnormal regions characteristic of COVID-19 without the need for extensive datasets of labeled training images, unlike deep learning methods. Our methodology was rigorously tested across multiple databases, and the detection quality was evaluated using various indices. The experimental results demonstrate the robust capability of our algorithm to support healthcare professionals in accurately detecting COVID-19, highlighting its significant potential and effectiveness as a practical and efficient alternative for medical diagnostics and precise image analysis.
Visual State Space Model for Image Deraining with Symmetrical Scanning
Authors: Zhang Yaoqing , He Xin , Zhan Chunxia , Li Junjie
Published: July 2024

Image deraining aims to mitigate the adverse effects of rain streaks on image quality. Recently, the advent of convolutional neural networks (CNNs) and Vision Transformers (ViTs) has catalyzed substantial advancements in this field. However, these methods fail to effectively balance model efficiency and image deraining performance. In this paper, we propose an effective, locally enhanced visual state space model for image deraining, called DerainMamba. Specifically, we introduce a global-aware state space model to better capture long-range dependencies with linear complexity. In contrast to existing methods that utilize fixed unidirectional scan mechanisms, we propose a direction-aware symmetrical scanning module to enhance the feature capture of rain streak direction. Furthermore, we integrate a local-aware mixture of experts into our framework to mitigate local pixel forgetting, thereby enhancing the overall quality of high-resolution image reconstruction. Experimental results validate that the proposed method surpasses state-of-the-art approaches on six benchmark datasets.
β-Thalassemia in Bangladesh: Current Status and Future Perspectives
Authors: Mitro Arnob , Hossain Didar , Rahman Md Muhibur , Dam Beauty , Hosen Mohammad Jakir
Published: July 2024

β-thalassemia, a life-threatening inheritable hemoglobin disorder caused by mutations in the HBB gene, poses a significant public health challenge in the world. Although no comprehensive work has been carried out in Bangladesh, the world prevalence and small-scale works indicated the possibility of a high prevalence of this disease in the country. Therefore, this review aims to explore the present situation of β-thalassemia in Bangladesh and propose approaches to mitigate its impact in the future. Limited awareness, a high incidence of consanguineous marriage, and inadequate access to healthcare are possible factors responsible for the high prevalence of thalassemia in Bangladesh, while the absence of public health policy and a national health insurance system further exacerbate the situation. The understanding of the genetic landscape and modern treatment strategies for β-thalassemia is hindered by the lack of comprehensive data on the mutation spectrum. In addition to conventional therapy such as blood transfusion, advanced practices such as splenectomy, hematopoietic stem cell transplantation, and emerging therapies such as gene therapy show promise for future cures but have yet to be widely implemented in this country. To effectively address the challenges of β-thalassemia, it is crucial to adopt comprehensive strategies, including a public awareness campaign, public health intervention, mandatory premarital screening, genetic counselling, and a national thalassemia prevention program. Additionally, understanding the spectrum of mutations and new therapeutic interventions is crucial for advanced healthcare strategies.
The Nature of Airport Brand Associations
Authors: Henderson Isaac Levi , Tsui Kan Wai Hong , Ngo Thanh , Gilbey Andrew , Avis Mark
Published: July 2024

This study examines the nature of brand associations that air travellers form with airports and which associations are important when choosing between airports. Using semi-structured qualitative interviews, this study collected information about 240 participants’ most recent trips using air travel, encompassing 642 airport visits and 88 airports worldwide. The associations that participants made with the airports they travelled through were collected, as well as the sorts of associations that are important for choosing between airports and why those associations are important. The data were analysed using thematic analysis, revealing 13 themes each for airport brand associations and important associations for choosing between airports and 14 themes for reasons why those associations were important. Single-sample t-tests reveal that each of these themes has a different effect size in terms of its effect on airport brand association formation and its effect on attitudinal brand choice. This study contributes to the air transport and tourism literature by providing a detailed account of which associations air travellers form with airports and which are used for choosing between airports by contextualising these findings by viewing airports as compound brands. Managerial implications are also provided along with avenues for future research.
Role of miRNA in Highly Pathogenic H5 Avian Influenza Virus Infection: An Emphasis on Cellular and Chicken Models
Authors: Chowdhury Dibakar , Nayeem Md. , Vanderven Hillary A. , Sarker Subir
Published: July 2024

The avian influenza virus, particularly the H5N1 strain, poses a significant and ongoing threat to both human and animal health. Recent outbreaks have affected domestic and wild birds on a massive scale, raising concerns about the virus’ spread to mammals. This review focuses on the critical role of microRNAs (miRNAs) in modulating pro-inflammatory signaling pathways during the pathogenesis of influenza A virus (IAV), with an emphasis on highly pathogenic avian influenza (HPAI) H5 viral infections. Current research indicates that miRNAs play a significant role in HPAI H5 infections, influencing various aspects of the disease process. This review aims to synthesize recent findings on the impact of different miRNAs on immune function, viral cytopathogenicity, and respiratory viral replication. Understanding these mechanisms is essential for developing new therapeutic strategies to combat avian influenza and mitigate its effects on both human and animal populations.
The Structure of Spiroplasma Virus 4: Exploring the Capsid Diversity of the Microviridae
Authors: Mietzsch Mario , Kailasan Shweta , Bennett Antonette , Chipman Paul , Fane Bentley , Huiskonen Juha T. , Clarke Ian N. , McKenna Robert
Published: July 2024

Spiroplasma virus 4 (SpV4) is a bacteriophage of the Microviridae, which packages circular ssDNA within non-enveloped T = 1 icosahedral capsids. It infects spiroplasmas, which are known pathogens of honeybees. Here, the structure of the SpV4 virion is determined using cryo-electron microscopy to a resolution of 2.5 Å. A striking feature of the SpV4 capsid is the mushroom-like protrusions at the 3-fold axes, which is common among all members of the subfamily Gokushovirinae. While the function of the protrusion is currently unknown, this feature varies widely in this subfamily and is therefore possibly an adaptation for host recognition. Furthermore, on the interior of the SpV4 capsid, the location of DNA-binding protein VP8 was identified and shown to have low structural conservation to the capsids of other viruses in the family. The structural characterization of SpV4 will aid future studies analyzing the virus–host interaction, to understand disease mechanisms at a molecular level. Furthermore, the structural comparisons in this study, including a low-resolution structure of the chlamydia phage 2, provide an overview of the structural repertoire of the viruses in this family that infect various bacterial hosts, which in turn infect a wide range of animals and plants.
The Characteristic of HBV Quasispecies Is Related to Occult HBV Infection of Infants Born to Highly Viremic Mothers
Authors: Li Yi , Song Yarong , Xiao Yiwei , Wang Tong , Li Lili , Liu Minmin , Li Jie , Wang Jie
Published: July 2024

Although a combination of immunoprophylaxis and antiviral therapy can effectively prevent mother-to-child transmission (MTCT) of hepatitis B virus (HBV), a considerable number of infants born to highly viremic mothers still develop occult HBV infection (OBI). To uncover the virological factor and risk predictor for OBI in infants, we found that the diversity and complexity of maternal HBV quasispecies in the case group were lower than those in the control group. Mutations with significant differences between the two groups were most enriched in the NTCPbd and PreC regions. Genetic distance at the amino-acid level of the PreC region, especially the combination of three amino-acid mutations in the PreC region, could strongly predict the risk of OBI in infants. HBV quasispecies in OBI infants were highly complex, and the non-synonymous substitutions were mainly found in the RT and HBsAg regions. The sK47E (rtQ55R) and sP49L mutations in OBI infants might contribute to OBI through inhibiting the production of HBV DNA and HBsAg, respectively. This study found the potential virological factors and risk predictors for OBI in infants born to highly viremic mothers, which might be helpful for controlling OBI in infants.
Occurrence of Circulating Antibodies against the Hemagglutinins of Influenza Viruses in the 2022/2023 Epidemic Season in Poland
Authors: Kondratiuk Katarzyna , Poznańska Anna , Szymański Karol , Czajkowska Emilia , Mańkowski Bartosz , Brydak Lidia B.
Published: July 2024

The aim of this study was to determine the level of anti-hemagglutinin antibodies in blood sera collected from patients during the 2022/2023 epidemic season in Poland. A total of 700 sera samples from patients across the country were tested. The samples were divided into seven groups according to the age of the patients, with 100 samples from each age group. The hemagglutination inhibition test (OZHA) was used to determine the level of anti-hemagglutinin antibodies. The test results have confirmed the presence of anti-hemagglutinin antibodies for antigens A/Victoria/2570/2019 (H1N1)pdm09, A/Darwin/9/2021 (H3N2), B/Austria/1359417/2021 (B/Yamagata lineage) and B/ Phuket/3073/2013 (B/Victoria lineage) present in the influenza vaccine recommended by the World Health Organization (WHO) for the 2022/2023 epidemic season. The highest geometric mean antibody titres (GMT) and protection rate values (%) were recorded for hemagglutinin A/H3N2. In Poland, in the 2022/2023 epidemic season, the percentage of the population vaccinated against influenza was 5.7%. Therefore, the test results can be interpreted as the response of the immune system in patients who have been previously infected with an influenza virus.
Análisis Jurídico del Sector No Financiero de la Economía Popular y Solidaria en Ecuador basado en el Proyecto Nuevo Amanecer de Guaranda
Authors: Contreras Chang Sally Karina
Published: July 2024

En Ecuador a partir del año 2008 se encuentra reconocida la Economía Popular y Solidaria en la Constitución de la República, por lo que, en la actualidad ha logrado alcanzar un lugar transcendental dentro de la sociedad, ya que, fomenta la igualdad y la equidad en la distribución de los beneficios, destacando la importancia de la cooperación, la participación democrática y la generación de bienestar colectivo. El objetivo general que se plantea este artículo es analizar jurídicamente el sector no financiero de la Economía Popular y Solidaria, el mismo que, implica examinar la normativa y regulación que rige este ámbito económico, caracterizado por la participación activa de la comunidad en decisiones económicas y el cual lo integran las asociaciones comunitarias además centra su análisis basado en el ejemplo del proyecto comunitario Nuevo Amanecer de la Provincia de Guaranda.
Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality
Authors: Cheng Xiang , Zhang Pingping
Published: July 2024

Virtual Reality (VR) offers the possibility of creating engaging and intensive training programs to enhance sports performance. Football, a widely popular sport worldwide, attracts millions of spectators. However, the physical demands and risks inherent in the game necessitate the creation of a training environment immune to external influences, minimizing sports-related injuries while enhancing player immersion. Existing training methods are affected by external factors like, weather, injuries, and space limitations, hindering effectiveness and skill development. To overcome these issues, in this research, enhanced soccer training simulation using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality (PWGAN-TLCOA-ST-VRT) are proposed. This study begins by analyzing the fundamental features of computer-generated soccer training techniques and introduces the implementation of VRT in football training via PWGAN technology. The goal is to develop virtual systems resilient to external factors and provide theoretical support for the expansion of virtual football sports software. By overcoming constraints like, weather, player injuries, space limitations, and financial constraints, the proposed approach aims to enhance training effectiveness, teaching techniques, and football skill development. Software tools like Poser 8.0, 3Ds MAX and EON Studio are introduced for system development. Evaluation of the proposed PWGAN-TLCOA-ST-VRT method is examined using performance metrics including, precision, accuracy, F1-score, recall, specificity, error rate, computation time, and Receiver Operating Characteristic (ROC) analysis. The proposed PWGAN-TLCOA-ST-VRT technique achieves significant improvements compared to existing approaches like, Analysis of the application of virtual reality technology in football training (AI-ST-VRT), Cortex VR: Immersive analysis and training of cognitive executive functions of soccer players using VR and machine learning, Predict the value of football players using FIFA video game data and machine learning techniques (MLR-ST-VRT)
Arabic Text Detection on Traffic Panels in Natural Scenes
Authors: Turki Houssem , Elleuch Mohamed , M. Othman Kamal , Kherallah Monji
Published: July 2024

Identifying and acknowledging Traffic Panels (TP) and the text they display constitute significant use cases for Advanced Driver Assistance Systems (ADAS). In recent years, particularly in the context of the Arabic language, extracting textual information from TP and signs has emerged as a challenging problem in the field of computer vision. Furthermore, the significant rise in road traffic accidents within Arabic-speaking countries has resulted in substantial financial losses and loss of human lives. This is largely attributed to the limited number of diverse datasets for traffic signs and the absence of a reliable system for TP detection. Implementing warning and guidance systems for drivers on the road not only addresses this issue but also paves the way for the integration of intelligent components into future vehicles, offering decision support for transitioning to semi-automatic or fully automatic driving based on the driver’s health condition. These tasks present us with two main challenges. First, it involves developing a new Arabic dataset called the Syphax Traffic Panels dataset (STP) tailored to the diverse conditions of natural scenes gathered from “Sfax,” a city in Tunisia. This dataset aims to provide high-quality images of Arabic TP. Secondly, we suggest a deep learning method for detecting Arabic text on TP by evaluating the performance of the state-of-the-art algorithms in this context. In our study, we enhance the architecture of the most successful result achieved. The experiments conducted reveal promising results, affirming the significant contribution of our dataset to this research area, and even more encouraging results stemming from the enhancements made to the proposed method. The dataset we possess is accessible to the general public on IEEE DataPort https://dx.doi.org/10.21227/5zd9-pe55
A Novel Adaptive ANC Algorithm for Removal of Background Noise in Speech Applications
Authors: Vinothkumar G , Manoj Kumar D
Published: July 2024

Noise is an unsafe mechanical toxin that causes serious hearing misfortune in the working environment of every nation. The working people in the military, mining, development, printing, and saw factories tend to lose their hearing performance due to the adverse effects of noise generated by the machines. They undergo elevated levels of noise, with various machinery producing greater levels of noise measured in decibels. These sounds may cause major health problems that may not allow the person to work in such conditions. Algorithms like Least Mean Square (LMS), Normalized Least Mean Squared (NLMS), Filtered-x Least Mean Squared (FxLMS) and Filtered-x Normalized Least Mean Squared (FxNLMS) are frequently being used for noise cancellation. Moreover, these filters have instability and poor noise reduction; slow convergence also requires a greater number of filter taps and less performance to identify the unknown system in the Active Noise Canceller (ANC). In this paper, a Précised FxNLMS (P-FxNLMS) algorithm is introduced for an ANC. This algorithm consists of dual adaptive filters, an updated Variable Step Size (VSS), a delay in the primary path, a slight improvement in the on-line secondary path, and a modified filter step size when compared to an existing ANC system, with the purpose of minimizing the demerits of existing algorithms. Initially, the P-FxNLMS algorithm was tested with Additive White Gaussian Noise (AWGN) and later tested with real noises from the NOISEUS dataset to check the noise reduction performance. The increase in Signal to Noise Ratio (SNR) segmentation for P-FxNLMS is around 1.45 dB to 4.07 dB and 38.46 % to 73.68 % of the Mean Square Error (MSE) as compared to the algorithms available for different sounds with different SNR input levels. From the performance results of MSE and SNR improvement (SNRi), we found improvements compared with existing algorithms
Vers des réparations au titre du colonialisme ?
Authors: Erpelding Michel
Published: July 2024

Constatant l’évolution des discours officiels occidentaux relatifs à l’héritage du colonialisme au cours des dernières années, le présent article s’interroge sur les conséquences juridiques éventuelles de cette évolution dans le domaine de la responsabilité internationale des États. Examinant d’abord la pratique des États occidentaux, il constate que si ces derniers reconnaissent désormais le caractère injustifiable d’un certain nombre d’actes liés au colonialisme et prennent des mesures destinées à en réparer les conséquences, ces mesures se caractérisent pour l’instant, à une exception près, par leur caractère gracieux. L’article examine ensuite le fondement juridique de cette position dans le principe du droit intertemporel. Celui-ci est en effet invoqué par les États occidentaux pour conclure à la licéité supposée des actes liés au colonialisme et exclure toute obligation générale de réparer les préjudices causés par ce dernier. Or, il s’avère que tant dans son application que dans son contenu même, ce principe est aujourd’hui soumis à différents types de relectures ébranlant les certitudes juridiques héritées du passé.
OMC, propriété intellectuelle et lutte contre la Covid-19 : un schéma vaccinal théorique ou incomplet
Authors: Hellio Hugues
Published: July 2024

Dès le début de la pandémie de la Covid-19, le respect des règles de l’OMC fut affecté par les restrictions commerciales appliquées par ses Membres. La mise au point de vaccins a suscité des enjeux plus importants encore pour l’OMC. Bien qu’incluant des mécanismes de flexibilité, son Accord ADPIC constituerait un obstacle à un accès mondial et équitable à la vaccination. La Covid-19 interrogeait à nouveau l’équilibre institué par l’Accord ADPIC entre la protection de la propriété intellectuelle conférée aux titulaires des brevets et les enjeux sanitaires mondiaux. L’année 2021 fut ainsi marquée par des négociations politiquement délicates à l’OMC qui avaient le but affiché d’une meilleure conciliation de ces impératifs. Au terme d’un lent cheminement qui s’achève à la Conférence ministérielle de juin 2022, une décision est enfin adoptée. Elle assouplie les conditions de mise à l’écart des droits conférés aux titulaires de brevets afin que des vaccins puissent être produits, importés et exportés sans leur consentement. Expressément limitée aux vaccins contre la Covid-19, cette nouvelle dérogation ne résout pas la question déterminante des capacités et des transferts de technologie et ne préfigure pas une réforme humaniste d’ampleur de l’OMC.
Les renvois opérés par les décisions des conférences des parties (« COP »), éléments d’une structuration ad hoc du droit international de l’environnement
Authors: Dellaux Julien
Published: July 2024

Les renvois opérés entre les normes juridiques s’observent dans tous les champs du droit. Bien que leur usage réponde avant tout à une volonté de simplification des

textes, ils ont aussi pour effet de lier la norme opérant le renvoi à celle en étant l’objet, la nature du rapport institué étant déterminé par la première. Ils concourent ainsi à une organisation des normes entre elles, sous des formes et des degrés bien plus divers que celles découlant d’une hiérarchisation. Leur intérêt se manifeste avec une acuité particulière dans des systèmes juridiques foisonnants et faiblement hiérarchisé. Le droit international de l’environnement présente avec force ces deux caractéristiques. Il se développe au sein de divers ensembles normatifs, engendrés par les accords-cadres et composés des décisions des COP qu’ils instituent, qui sont faiblement coordonnés entre eux. La présente contribution s’intéresse à l’usage fait des renvois au sein des décisions des COP afin d’identifier leurs formes et leurs effets juridiques. Elle révèle qu’ils concourent, bien que de manière imparfaite, à une structuration ad hoc du droit international de l’environnement. En interne, ils renforcent la cohérence au sein des régimes où les normes sont produites de manière constante et définies step by step. En externe, ils permettent d’articuler les régimes en évitant les doublons et en prévenant les conflits de normes. Les divers renvois opérés de manière unilatérale par les COP aboutissent à une mise en réseau des normes et constituent la trame d’un ordonnancement de leurs compétences normatives respectives.
Performance Study of Prediction Intervals with Random Forest for Poverty Data Analysis
Authors: Valentika Nina , Notodiputro Khairil Anwar , Sartono Bagus
Published: July 2024

Introduction/Main Objectives: Determine the prediction interval with for analyzing poverty data at the Regency/City level in Indonesia. Background Problems: Poverty will be a topic in various discussion and debates in the future. Novelty: This study’s methods for constructed prediction intervals are LM, Quant, SPI, HDR, and CHDR. This method can improve the prediction interval performance with Random Forests. Research Methods: The method for building forests and obtaining BOP in this study is CART with the LS splitting rule. Finding/Results: The results of this study are that the best method for one replication is HDR with 500 trees. The best method for 100 repetitions is LM. Based on hypothesis testing, there is sufficient evidence to say no difference between the LM, SPI, Quant, HDR, and CHDR methods for 100 replications at a 5% significance level.
Global Natural and Planted Forests Mapping at Fine Spatial Resolution of 30 m
Authors: Xiao Yuelong , Wang Qunming , Zhang Hankui K.
Published: July 2024

Planted forest expansion often encroaches upon natural forests, leading to numerous environmental and social problems and altering the carbon sequestration capacity. Mapping natural and planted forests accurately is pivotal for achieving carbon neutrality and combating climate change. However, global mapping of natural and planted forests at fine spatial resolution remains an unmet requirement, mainly due to the insufficient number of training samples often needed in land cover mapping methods. This study presents a novel approach for automatically generating training samples and for accurately mapping the global distribution of natural and planted forests at 30-m spatial resolution in 2021. More than 70 million training samples were generated based on the distinct disturbance frequency of planted and natural forests across the 30-m Landsat images from 1985 to 2021 derived using a well-established time-series change detection method. These training samples encompass diverse Landsat and auxiliary data features, including spectral, structural, textural, and topographic attributes. Subsequently, locally adaptive random forest classifiers were trained using these samples and achieved an overall accuracy of 85% when validated against independent visually interpreted reference data. Based on the produced map, the proportions of the natural and planted forests for all the continents and countries were consistent with the Global Forest Resources Assessment 2020 statistics, indicated by regression slopes of 1.0050 and 1.2432, respectively. The generated training samples can be employed to update the global map of natural and planted forests. The produced map is expected to enhance our comprehension of variations in carbon sequestration, biodiversity maintenance, climate change mitigation, and other factors between natural and planted forests. Data presented in this study is publicly available at
https://doi.org/10.5281/zenodo.10701417
.
Sosialisasi Bullying (Perundungan) Sebagai Upaya Terjadinya Kekerasan di SMP Negeri 2 Penajam Paser Utara
Authors: Hidayah Lidya Intan , Rohman Dwi Taufik
Published: July 2024

Bullying (perundungan) adalah salah satu contoh perilaku menyimpang dan berbahaya. Budaya bullying sering kita jumpai di sekolah dimana senioritas dilakukan oleh seseorang atau sekelompok orang yang berkuasa, tidak bertanggung jawab, dan bersedia untuk kembali dan  melakukan perbuatan tersebut berulang kali. Kegiatan ini bertujuan untuk memberikan informasi kepada siswa mengenai besarnya dampak bullying (perudungan) di lingkungan sekolah. Metode kegiatan  dilakukan  dengan memberikan  edukasi  atau  materi  yang disampaikan oleh  pengabdi serta diskusi dan tanya jawab pada sesi akhir. Kegiatan dilakukan di SMP Negeri 2 Penajam Paser Utara kelas IX. Hasil dari kegiatan ini menunjukan bahwa bentuk bullying yang terjadi adalah bullying fisik berbentuk pukulan, mengejek antar teman, selain itu bullying verbal berbentuk sorakan dan pemanggilan nama khusus untuk siswa lain. Faktor penyebabnya adalah faktor keluarga, teman sebaya dan lingkungan sosial.
Pentingnya Pengajaran dan Pemahaman Hidup Sehat Pada Siswa Taman Kanak-Kanak
Authors: Christanto Levina Selly , Susilo Agnes Regina , Gunawan Kevin , Malelak Mariana Ing
Published: July 2024

Periode penting dalam perkembangan manusia dimulai pada masa kanak-kanak. Pada masa ini, anak-anak harus mulai dikenalkan dengan kebiasaan dalam hidup yang baik. Kebiasaan tersebut adalah hidup sehat. Saat ini banyak anak-anak usia dini yang tidak suka makan sayur yang dimana sayur merupakan makanan sehat dengan banyak vitamin. Tujuan dari kegiatan pengabdian masyarakat di TK Santa Helena ini adalah untuk meningkatkan kesadaran anak-anak tentang pentingnya hidup sehat. Metode yang digunakan dalam pengabdian masyarakat ini adalah interaktif dengan menggunakan beberapa alat permainan dan alat peraga. Kegiatan pengabdian masyarakat ini telah dilaksanakan dengan baik dan menarik sehingga dapat menarik perhatian siswa-siswi TK Santa Helena dalam memahami materi yang dibawakan.
PENDAMPINGAN PEMBUATAN PETA DESA WISATA SEBAGAI PROMOSI WISATA DI DESA PAPPANDANGAN
Authors: Malik Abdul , Sahabuddin Chuduriah , Irmayani Naim , Khairat UL , Nasir Muhammad
Published: July 2024

Masalah yang dapat dirumuskan pada kegiatan Pengabdian kepada Masyarakat yang berjudul Pendampingan Pembuatan Peta desa wisata sebagai Promosi Desa Wisata adalah: bagaimana aparat desa dan masyarakat dapat memahami mekanisme pembuatan peta potensi Desa Pappandangan sehingga peta yang dihasilkan merupakan peta potensi desa spesifik wilayah yang menggambarkan potensi wisata dan fasilitasnya dengan rinci sehingga bisa menjadi promosi Desa Wisata yang berkelanjutan. Metode pelaksanaan program kegiatan pengabdian masyarakat di Desa pappandangan ini terdiri dari 5 tahapan kegiatan meliputi 1. Pengenalan kebutuhan 2.Perencanaan kegiatan 3.Pelaksanaan Kegiatan 4.Pemantauan kegiatan 5.Evaluasi kegiatan. Adapun hasil luaranya yaitu 1. Peta wisata Desa Pappandangan nantinya akan dapat dipergunakan sebagai penunjuk arah dari luar Desa Pappandangan ke tempat-tempat wisata yang terdapat Desa Pappandangan. 2. Dengan adanya peta wisata , memudahkan wisatawan untuk berkunjung ke tempat-tempat wisata yang terdapat di Desa Pappandangan 3. kelompok Sadar Wisata di Desa Pappandangan semakin paham dan dapat mempraktekkan Promosi wisata dengan Sosial MediaPappandangan terkenal sebagai salah satu desa yang memiliki Sumber Daya Alam yang sampai saat ini masih terjaga panorama alamnya sebagai salah satu potensi kekakayaan alam di mana alam Pappandangan di jadikan tempat wisata di Kabupaten Polewali Mandar. Dengan adanya peta wisata didesa pappandangan dapat memberikan solusi terhadap informasi yang dibutuhkan wisatawan untuk membuat rencana wisata ke obyek wisata yang ada didesa pappandangan.
OBSERVASI PEDULI LINGKUNGAN DAN SUMBER DAYA LAHAN MELALUI PENDEKATAN EKOLOGI FAKTORAL DI DISTRIK HUBIKIAK KABUPATEN JAYAWIJAYA
Authors: YM Hardiyanti , Robo Sahrail , Soni Aprianto , Tabuni Santo
Published: July 2024

Tujuan untuk mengetahui observasi peduli lingkungan dan pemetaan sumber daya lahan di kabupaten Jayawijaya. Karena tidak diketahui sebaran dan luasan potensi lahan yang ada, perencanaan penggunaan lahan belum optimal dilakukan, dan potensi sumber daya lahan di Distrik Hubikiak cukup luas, namun belum terinventarisasi dan dikelola dengan maksimal. Aparat pemerintah kampung juga harus lebih memahami peta. Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk meningkatkan pemahaman Aparat Pemerintahan Kampung tentang pemetaan sumber daya lahan, kepedulian lingkungan, dan proses pembuatan peta. Survei pendahuluan, sosialisasi, penyuluhan, Forum Grup Diskusi (FGD), survey lapangan, observasi, dan evaluasi adalah semua metode yang digunakan untuk melaksanakan kegiatan. Partisipasi masyarakat dalam kegiatan pengabdian kepada masyarakat ini sangat bagus, dan pemahaman mereka tentang lingkungan dapat meningkat. Menghasilkan Peta Potensi Sumber Daya Lahan di Kampung Musaima I distrik Hubikiak, yang memiliki potensi sumber daya lahan yang paling luas yang dapat dikelola dengan baik, adalah langkah akhir dari kegiatan pengabdian.
PENGEMBANGAN HOME INDUSTRI MINYAK MANDAR MELALUI INOVASI TEKHNOLOGI PENGOLAHAN VIRGIN COCONUT OIL (VCO) DI DESA MOMBI
Authors: Pagala Arman Yamin , Nurdiyah Nurdiyah
Published: July 2024

Pemberdayaan inovasi teknologi usaha masyarakat, merupakan bagian pembangunan ekonomi desa dalam memberikan pengetahuan dan keterampilan usaha dibidang pengolahan hasil pertanian. Tentang inovasi pengolahan kelapa dalam menjadi Virgin Coconut Oil (VCO). Dipilihnya pelatihan pengolahan minyak Virgin Coconut Oil (VCO), dengan pertimbangan kelompok usaha rumah tangga (home industry) minyak tradisional mandar bisa meningkatkan nilai tambah produknya, dari proses pengolahan minyak Mandar yang tradisional. Mengolah dengan cara fermentasi atau pemancingan bakteri probiotik untuk menghasilkan minyak Virgin Coconut Oil (VCO), dan Blondo dari proses fermentasi menjadi bahan untuk menghasilkan minyak Mandar (minyak tradisional). Proses pengolahan dengan cara fermentasi ini, menggunakan bahan baku yang sama untuk mendapatkan dua jenis produk yang berbeda. Dengan asumsi, ibu-ibu pengolah usaha rumah tangga minyak (home industry) Mandar dapat menambah pendapatan dari produk olahan minyak Virgin Coconut Oil (VCO), tanpa meninggalkan usaha pengolahan minyak Mandar yang sudah lama dikembangkan.
PERILAKU CUCI TANGAN MENGGUNAKAN SABUN SEBAGAI UPAYA UNTUK MENERAPKAN HIDUP BERSIH DAN SEHAT
Authors: Patmawati Patmawati , Jannah Miftahul , Rusmiati Rusmiati
Published: July 2024

Perilaku Hidup Bersih dan Sehat (PHBS) adalah upaya untuk memberikan pengalaman belajar atau menciptakan suatu kondisi bagi perorangan, kelompok dan masyarakat, dengan membuka jalur komunikasi, memberikan informasi dan edukasi untuk meningkatkan pengetahuan, sikap dan perilaku, sehingga membantu masyarakat mengenali dan mengatasi masalah sendiri, agar dapat menerapkan cara-cara hidup sehat dalam rangka menjaga dan meningkatkan kesehatan. Metode yang digunakan penyuluhan dengan ceramah, diskusi, tanya jawab dan demostrasi. Adapun hasilnya dari 20 peserta di Sekolah Dasar Al-Mubarak Desa Sidorejo Kecamatan Wonomulyo Kabupaten Polewali Mandar. Jumlah peserta orangtua dan siswa yang mengikuti penyuluhan didapatkan nilai pretest sebesar 70% dan nilai posttest sebesar 80%. Terjadi perubahan pengetahuan sebelum diberikan penyuluhan dibandingkan dengan setelah diberikan penyuluhan sebesar 20%. Minat orangtua dan siswa untuk menerapkan mencuci tangan sangat besar, sehingga penyuluhan tersebut mudah diterima dan dapat menciptakan sikap yang positif terhadap pesan yang disampaikan yang mempengaruhi perilaku orangtua dan siswa.