bluuebunny/crossref_metadata_2025 huggingface dataset:
Pendampingan Pelatihan dan Pengembangan Keterampilan Kompetensi pada Peserta Didik LPK Nata Academy
Authors: Hidayat Rizki , Feriyanti Yang Gusti , Indriani Indriani , Roza Azmi
Published: September 2024

ABSTRAKPendayagunaan teknologi informasi dan komunikasi merupakan hal yang mendesak dalam rangka mewujudkan tatanan masyarakat informasi Indonesia sebagai bagian dari masyarakat informasi dunia. Hal ini menuntut tersedianya sumberdaya manusia yang kompeten dalam mengoperasikan, mengaplikasikan serta mengembangkan infrasruktur teknologi informasi yang tersedia. Sebagai sebuah proses yang kompleks, pendampingan pelatihan dan pengembangan keterampilan masyarakat informasi yang kompeten perlu dilaksanakan secara terstruktur. Nata Academy merupakan Lembaga Pelatihan Multimedia yang selalu mengikuti pertumbuhan dan perkembagan teknologi informasi secara berkesinambungan. Perspektif masyarakat informasi yang kompeten dapat dicapai dengan mengatasi tantangan dalam program pelatihan agar tercapai pendampingan pelatihan yang optimal. Penelitian ini bertujuan menganalisis pendekatan Tyler dalam pengembangan program pendampingan dan pengembagan keterampilan multimedia pada LPK Nata Academy. Metode pengumpulan data dilakukan secara kualitatif dan kuantitatif. Hasil studi menunjukkan perlu diterapkan empat tahap pengalaman belajar diantaranya; tahap prapelatiha, tahap teori atau pelatihan, tahap proyek, tahap pasca pelatihan.Keywords: evaluasi , kompetensi, model tyler.
Tahapan Pengambilan Keputusan dan Faktor-faktor yang Mempengaruhi Adopsi Inovasi Teknologi Pengolahan Pala di Kecamatan Bayang Kabupaten Pesisir Selatan
Authors: Fahmi Sepno , Tanjung Hery Bachrizal , Irfan Zul
Published: September 2024

Penelitian ini bertujuan untuk menganalisis tahapan pengambilan keputusan adopsi inovasi teknologi pengolahan pala dan faktor-faktor yang mempengaruhi pengambilan keputusan adopsi inovasi teknologi pengolahan pala oleh anggota kelompok tani Bayang Bungo Indah di Kecamatan Bayang, Kabupaten Pesisir Selatan. Penelitian ini bersifat explanatory research (penelitian eksplanatoris).  Metode yang digunakan dalam penelitian ini adalah metode sensus.  Selanjutnya dalam analisis data digunakan SEM menggunakan software SmartPLS. Hasil penelitian menunjukkan bahwa tahapan pengambilan keputusan adopsi inovasi teknologi pengolahan pala yang dilalui oleh anggota kelompok tani Bayang Bungo Indah, yaitu: tahap pengetahuan, persuasi, keputusan, implementasi, dan konfirmasi. Faktor-faktor yang mempengaruhi pengambilan keputusan adopsi inovasi teknologi pengolahan pala oleh petani di Kecamatan Bayang, Kabupaten Pesisir Selatan adalah karakteristik petani, sifat inovasi, kualitas penyuluhan, dan intensitas komunikasi anggota kelompok tani. Faktor yang paling berpengaruh terhadap pengambilan keputusan adopsi inovasi teknologi pengolahan pala pada variabel karakteristik petani adalah tingkat pendapatan, pada variabel sifat inovasi adalah kemudahan diamati, pada variabel kualitas penyuluhan adalah kemampuan penyuluh, dan pada variabel intensitas komunikasi anggota kelompok tani adalah komunikasi kelompok.
Three-Term Presidency: The Perspectives from Democracy and Maslahah Mursalah
Authors: Rizqi Retanisa , Firdaus Wihda Yanuar
Published: September 2024

The presidential and vice-presidential elections on February 14, 2024, raised a significant issue: the debate over the three-term presidency, which sparked considerable controversy among the public. This study examines the concept of the three-term presidency from the perspectives of democracy and Maslahah Mursalah. This research employs normative legal research with a descriptive approach, utilizing qualitative methods. The study focuses on Article 7 of the 1945 Constitution, analyzing it from the viewpoint of democracy. Furthermore, the Islamic legal analysis is analyzed with Maslahah Mursalah. The findings of this study indicate that the limitation of the presidential term to two periods, as stipulated in Article 7 of the 1945 Constitution, is beneficial and does not threaten democracy. Furthermore, from the perspective of Maslahah Mursalah, the analysis of benefits (maslahah) and harms (mafsadah) suggests that extending the presidential term to three periods would result in greater harm than benefit. Thereby, rendering it inadvisable and potentially threatening to public welfare.
PARTISIPASI ORANGTUA DALAM PENDIDIKAN TERHADAP KECERDASAN EMOSIONAL ANAK USIA DINI
Authors: Aspiyana Tri , Vienlentia Raisa , Saputra Putu Wisnu , Lamri Lamri
Published: September 2024

Kecerdasan emosional dan partisipasi orang tua memegang peranan penting dalam pendidikan anak usia dini. Anak-anak dengan kecerdasan emosional yang lebih tinggi lebih siap untuk memperhatikan, terlibat di sekolah, membangun hubungan positif, dan menunjukkan empati. Keterlibatan orang tua mengacu pada perilaku yang ditunjukkan oleh orang tua di rumah dan di sekolah untuk mendukung perkembangan anaknya. Dengan terlibat secara aktif dalam pendidikan anak mereka, orang tua dapat menciptakan lingkungan pengasuhan yang meningkatkan kecerdasan emosional dan hasil pembelajaran secara keseluruhan. Tujuan penelitian ini adalah untuk melihat apakah ada hubungan antara Partisipasi Orangtua dan Kecerdasan Emosional Anak yang dilihat dari perspektif Orangtuanya. Partisipan adalah 37 Orangtua siswa TKN Pembina Kabupaten Kapuas  dengan metode sampel jenuh, teknik pengambilan sampel yang akan dipergunakan adalah probability sampling dengan metode purposive sampling. Analisis data menggunakan uji korelasi Rank Spearman. Berdasarkan hasil analisis, diperoleh koefisien korelasi antara variabel Partisipasi Orangtua dan Kecerdasan Emosi Anak sebesar r= 0,414 dengan nilai p=0,011. Hasil ini menunjukkan adanya hubungan antara variabel Partisipasi Orangtua dan Kecerdasan Emosi anak. Dapat dikatakan bahwa jika anak mempunyai kecerdasan emosi yang tinggi maka ia diprediksi mendapatkan partisipasi orangtua yang tinggi, begitu pula sebaliknya. Dengan nilai r=0,414 dapat diambil kesimpulan bahwa tingkat korelasi dan kekuatan hubungan kedua variabel berada dalam tingkat korelasi yang cukup. Koefisien determinasi (r2) yang didapat dari hasil kuadrat koefisien korelasi adalah r=0,171. Hasil analisis tersebut menunjukkan bahwa Partisipasi Orangtua memberikan kontribusi atau sumbangan efektif sebesar 17,1% terhadap variabel Kecerdasan Emosi dimana sisanya yaitu 82,9% berasal dari variabel lain di luar penelitian ini
Language Teacher Development in Technology Integration: Exploration, Communication, Collaboration, and Reflection
Authors: Son Jeong-Bae , Park Moonyoung , Liu Mei-Hui
Published: September 2024

It is essential for second/foreign/additional language teachers to develop their competence in the use of digital technologies for language teaching in digital environments. This article explores language teacher development in technology integration in terms of exploration, communication, collaboration, and reflection (ECCR). It presents the results of two case studies that investigated how language teachers explore, communicate, collaborate, and reflect for technology-enhanced language teaching (TELT), how they approach ECCR, how much they engage with ECCR activities, and what they need in order to improve their competence in TELT. Data were collected from online questionnaires and semi-structured interviews with groups of in-service language teachers in Hong Kong in Study 1 and Taiwan in Study 2. Findings indicate that the teachers in both studies are engaged with various ECCR activities with different interests and competencies in their contexts. They enhance our understanding of language teacher development and provide practical implications for research and practice.
Integrating Generative AI in University Teaching and Learning: A Model for Balanced Guidelines
Authors: Cacho Reynald
Published: September 2024

The study proposes a balanced approach and flexible guidelines for incorporating generative artificial intelligence (AI) into university-level teaching and learning processes at both the university-departmental level and within individual academic autonomy. Building on Chan’s (2023) AI Ecological Education Policy Framework, the guidelines offer a suggestive frame of reference for faculty and students to integrate generative AI into their coursework. Furthermore, feedback from 118 students and 14 academics at a teacher education institution in the Philippines underscores the guidelines' potential benefits, concerns, usefulness, and necessity in their academic undertakings. While the policy may not cover every detail exhaustively, it seeks to provide practical and context-sensitive recommendations for ethical, honest, responsible, and fair use of AI in course development, implementation, and student engagement. Consequently, other higher education institutions in general, and academics in particular, may adopt and/or modify the guidelines to suit their positions, goals, needs, and directions.
A Sense of Belonging in Online Post-Traditional Students: What Matters?
Authors: Xu Li , Brown Sheena
Published: September 2024

Online education has experienced a rapid growth and continued to grow, which is driven by the advances in information and communication technologies that facilitate effective interactions both within and outside the online classroom in high education. Despite these advancements, post-traditional students, characterized by their diverse and complex identities, face unique challenges in forming connections within online learning environments.  This research focuses on sense of belonging, which is crucial for promoting and consolidating online learning experiences. For post-traditional students, little is currently known about the extent to which they feel a sense of belonging and the factors that influence it. In this research study, we surveyed a sample of online post-traditional learners and used a mixed-methods approach to examine how they feel accepted and valued and how their identities such as academic program, gender, and ethnicity are related to belonging. Our findings indicate that post-traditional learners report an overall moderate level of belonging, with university support, acceptance, and meaningful relationships with faculty and staff being pivotal. Our research did not find significant differences between students in different academic programs or gender groups. However, Hispanic students reported a higher sense of belonging, which can be contextualized within the framework of our university’s designation as a Hispanic-Serving Institution (HSI). By pinpointing the critical and negligible factors affecting sense of belonging, this study provides a comprehensive set of actionable strategies to cultivate a more engaging and supportive online learning environment.
The Untold Story of Training Students with Generative AI: Are We Preparing Students for True Learning or Just Personalization?
Authors: Bae Haesol , Bozkurt Aras
Published: September 2024

This special issue joins the recent but growing effort to expand understanding of integrating generative AI. While generative AI tools like ChatGPT offer great opportunities for personalized learning, it is important to think critically about what type of learning we are reinforcing through the convenience and customization offered by AI. The reliance on AI for scaffolding and personalized prompts can risk undermining students' independent thinking and problem-solving abilities. Additionally, the emphasis on personalized learning could deter the development of collaboration skills. As we continue to integrate AI into educational practices, we need to work towards balancing the benefits of personalization with the goal of fostering self-reliant, critical thinkers who can collaborate and evaluate AI-generated content.
Historical and legal analysis of the institute of necessary defense
Authors: Koshtura B. V.
Published: September 2024

Within the framework of the article, it is substantiated that the necessary defense is the basis of human dignity, inextricably linked to natural rights, and in the context of a full-scale war in Ukraine, the analysis of the prerequisites for its occurrence acquires special importance in order to guarantee the effectiveness of the norms of international law. It is emphasized that Greece, India and Egypt were among the first states whose scientists analyzed necessary defense, but necessary defense acquired the greatest development as a natural human right under the influence of the lawyers of Ancient Rome. It was revealed that one of the first among the ancient scientists who carried out important work on the application of the necessary defense on the basis of equality, but within the limits of the same social status, was carried out by Marcus Tullius Cicero.
Legal confirmations and interpretations of the institution of necessary defense in Slavic history that are important for Ukraine and modern events are analyzed, including in the treaties of princes Oleg and Igor with the Greeks, as well as «Ruska Pravda».Significant transformations of the legal foundations of the institution of necessary defense in the legislation of European states under the influence of German philosophers of the 17th and early 18th centuries have been analyzed. A comparative analysis of the main principles of the positivist and natural theory of law was carried out.
After the declaration of independence by Ukraine, a key stage took place, when the natural right to self-defense was enshrined in the state. This process contributed to the transition to a democratic form of government, requiring a revision of social values, reform of the legal system, and respect for civil rights. It has been proven that in the modern conditions of a full-scale war in Ukraine, the institution of necessary defense should be based on the principles of the rule of law, equality and legal certainty as much as possible. In the conditions of digitalization, the institute of necessary defense also needs analysis in the context of the effects of digital technologies on it, recognition of acceptable forms of protection.
Threat of violence as a way to commit «Counteraction to legitimate economic activity»
Authors: Krykunov O. V. , Sasko O. I.
Published: September 2024

The article is devoted to one of the ways of committing a criminal offense under Article 206 of the Criminal Code of Ukraine “Counteraction to legitimate economic activity”. In particular, the author examines the concept of threats of violence against the victim or persons close to the victim in the course of counteracting legitimate economic activity. It is determined that the method of committing a criminal offense in the form of a threat of violence against the victim or persons close to him/her is present both in Article 206 of the Criminal Code of Ukraine “Counteraction to Legitimate Economic Activity” and in some other corpus delicti of criminal offenses. The author establishes that in the Criminal Code of Ukraine “threat of violence” appears either as a separate criminal offense or as a method of committing a criminal offense.
The study reveals the content of the terms “threat” and “threat of violence” used in the disposition of Article 206 of the Criminal Code of Ukraine. Based on the results of the analysis, the author suggests that a threat of violence should be understood as actions of a person aimed at intimidation without physical contact with the victim, which are intended to influence the psycho-emotional state of the victim with a view to achieving the desired criminal result. For the purpose of recognizing a threat as a method of counteracting legitimate business activity, it does not matter whether the perpetrator actually intended and was actually able to carry out the threat. From the moment the demand combined with the threat is made, this criminal offense is complete.
It has been determined that, within the meaning of Article 206 of the Criminal Code of Ukraine, close persons are understood to mean close relatives - parents (foster parents), children (foster children), grandparents and grandchildren. Family members are parents (foster parents), children (foster children), brothers, sisters and their spouses who live together, as well as a spouse who lives together but is not married, and the spouses’ parents.
The closeness of persons who are family members is based primarily on marriage (husband, wife) and consanguinity (children, parents, other relatives), and may also arise on other grounds (friendship, love, etc.).
Enhancing Intrusion Detection Systems Using Metaheuristic Algorithms
Authors: Mohammed Fadhil Heba , Dawood Zinah Osamah , Al Mhdawi Ammar
Published: September 2024

In the current network security framework, Intrusion Detection Systems (IDSs) happen to be among the major players in ensuring that the network activity is being monitored round the clock for any intrusions which may occur. The rising degree of cyber threats’ intricacy enforces the constant development of IDS methodologies to maintain effectiveness in detecting and reversing the emergence of any extra risks. Therefore, to settle the matter featured by, this research studies try to incorporate the most powerful metaheuristic algorithms, Lion Optimization Algorithm (LOA) and Grey Wolf Optimizer (GWO) in particular, to develop better detection accuracy and efficiency. The core obstacle recognized in this article is the fact that many systems of IDS send out false alarms and their mechanisms of detection of the true anomalies need to be improved immensely. In a nutshell, the change would unveil a fresh way of using LOA and GWO using them to promote the enhancement of internet defences systems in real-time. These schemes can discover previously unknown weaknesses or stealthy attacks. The core of this undertaking would consist in the conception and implementing of a Hybrid Network Intrusion Detection System, which will be created by blending the Lion Optimization Feature Selection (LOFS) and GWO smelters, denoted as LOFSGWO. Critically, the main purpose is to incorporate the GWO as a tool in the operations to cut down the dangerous parameters favourable towards an intrusion mechanism in the framework of a Hybrid CNN-LSTM Deep Learning system. Model tests reveal over 99.26% accuracy of low negative samples into out of a box that are served as testing as well as NSL-KDD dataset, which are similar to the simulation of WUSTL-EOM 2020 system. The obtained outcomes verify the relevance and efficiency of the suggested strategy, which may be used in the resolution of the issues faced in a network security today.
Modeling of Flood Wave Propagation Due to Hemren Dam Failure
Authors: Al-Nedawi Nada M. , Sh. Sammen Saad , Fakhri Ali
Published: September 2024

The occurrence of dam failures and the consequent floods pose substantial risks to submerged regions, and their unpredictability increases the hazard of their impact. This research simulates the flood event scenario due to the dam failure of the Hemrem dam in Diyala Governorate, Iraq. HEC-RAC model jas been used to modeling the Hemren dam failure. The generated flood waves are routed downstream until the confluence of the Diyala and Tigris rivers, covering a large study area of 5,378.5 km². The configuration of the model's geometry is formulated using the Digital Elevation Model (DEM) that encompasses the geographical extent of the Diyala River study area, from Hemren Dam to the confluence with the Tigris River south of Baghdad. The length of this reach is approximately 210 km. Based on the inundation maps, the region's geography is classified as having catastrophic constraints due to the water depth and flow rate. The results demonstrate how to predict the magnitude of floods and highlight the severity if Hemren Dam were to fail. This underscores the need for effective risk management. Furthermore, the maps created by this study can be utilized to develop long-term flood control plans.
Design and Implementation of an Interactive Embedded System as a Low-Cost Remotely Operated Vehicle for Underwater Applications
Authors: Fathel Rasheed Ali , M. Hagem Rabee , Mohammed Khidhir Abdul Sattar
Published: September 2024

The underwater environment is harsh and challenging for human life, prompting companies and researchers to develop advanced technologies for exploration. Building on previous work that applied a CNN-based method for underwater object classification, this paper focuses on the design and implementation of an interactive embedded system for a compact Remotely Operated Vehicle (ROV) with specific dimensions and weight. The primary goal is to capture real-time underwater video using remote control communication via Ethernet. The ROV is powered by five brushless motors controlled by a smart PID controller. Precise pulse-width modulation signals enhance stability during movements along three axes, enabling high-resolution video capture. The system utilizes the Raspberry Pi 3's computing power for motion control, positioning, temperature monitoring, and video acquisition. Experimental results demonstrate the system's capability to process 42 frames per second. A user-friendly graphical interface allows for remote ROV control across various operating systems. With a depth rating of 100 meters and speed of 0.148 m/s. This ROV surpasses human divers' limitations and holds significant potential for applications in surveillance, operations, maintenance, and measurement tasks underwater. The proposed ROV contributes to the advancement of underwater exploration technology by combining high performance with cost-effectiveness.
Decision-making model in ancestral knowledge management: The case of the Raicilla in Mexico
Authors: Martínez-Velasco Antonieta , Terán-Bustamante Antonia , Ayala-Ramírez Suhey , Castillo-Girón Víctor Manuel
Published: September 2024

Ancestral knowledge is essential in the construction of learning to preserve the sense of relevance, transmit and share knowledge according to its cultural context, and maintain a harmonious relationship with nature and sustainability. The objective of this research is to study and analyze the management of ancestral knowledge in the production of the Raicilla to provide elements to rural communities, producers, and facilitators in decision-making to be able to innovate and be more productive, competitive, sustainable, and improve people’s quality of life. The methodological strategy was carried out through Bayesian networks and Fuzzy Logic. To this end, a model was developed to identify and quantify the critical factors that impact optimally managed technology to generate value that translates into innovation and competitive advantages. The evidence shows that the optimal and non-optimal management of knowledge, technology, and innovation management and its factors, through the causality of the variables, permits us to capture the interrelationship more adequately and manage them. The results show that the most relevant factors for adequate management of ancestral knowledge in the Raicilla sector are facilitators, denomination of origin, extraction and fermentation, and government. The proposed model will support these small producers and help them preserve their identity, culture, and customs, contributing greatly to environmental sustainability.
An overview of the dynamic and complex regulatory landscape of cargo transportation in the United Arab Emirates
Authors: Abdouli Jawaher Al , Sipos Attila
Published: September 2024

This article explores the dynamic and complex regulatory landscape of cargo transportation in the United Arab Emirates (UAE). As a critical hub in global trade, the UAE’s approach to cargo transportation not only impacts its economic landscape but also has broader implications for international logistics and trade. When the authors speak about air cargo, a very prominent characteristic comes to mind, that is, the ‘speed’ at which goods are transported from one point to another in a world which is fueled by time-based competition which connects leading suppliers, smaller businesses to consumers within a complicated global supply chain operating within networks. The authors aim to examine the current regulatory framework governing cargo operations, highlighting key events contributing to the growth of cargo transportation in recent years within the UAE, shedding light on the central regulatory bodies and key players in the UAE which contribute to the chain of transporting cargo and shipments in the UAE. This study will also briefly compare the standards applied in the UAE with international norms. It delves into the implications of existing regulations on various facets of trade and logistics, including compliance challenges faced by businesses. The article identifies specific challenges in the regulatory setting, such as safety, environmental considerations and the integration of emerging technologies. Furthermore, it distinguishes between the flexible and rigid aspects of these regulations, analyzing their impact on the industry. Looking ahead, the article forecasts emerging trends and potential shifts in regulatory policies, emphasizing the need for adaptability and forward-thinking in policymaking. The aim is to provide a comprehensive overview of the UAE’s regulation of the cargo transportation landscape. The present study offers insights into its current status, challenges, and future directions, thereby contributing to policy development in this vital sector. New research examining the UAE’s cargo regulations reveals significant gaps that could stall its ambitions of becoming a leading cargo transportation global hub. The study identifies shortcomings in regulations related to cargo transportation in the UAE and its efficiency. These areas, along with potential inflexibility in the current system, pose challenges to the UAE to compete effectively in the time-sensitive world of cargo shipments.
Research on retailer’s pricing and stocking strategy in two-stage green supply chain considering bounded rationality and non-green product
Authors: Lin Andy
Published: September 2024

Due to the bounded rationality of decision-makers and the substitution effect of non-green products, retailers are not always profitable when selling green products. To assist retailers who may be disadvantaged in the game, this study constructs a two-stage green supply chain game model, considering the bounded rationality of decision-makers and the substitution effect of non-green products, and analyzes the impacts of two operational strategies that retailers can adopt—price-cutting strategy and early replenishment strategy. The research reveals that retailers tend to lower prices in the second stage when price reductions stimulate consumer purchases, enhancing their profitability. However, strategic retailers may raise prices in the first stage to create room for discounts later, potentially harming consumer interests. Contrary to expectations, anticipating future demand does not always improve supply chain profitability in the early replenishment strategy, which mainly depends on the market environment. Early replenishment deprives retailers of negotiation leverage in the second stage, and bulk orders may lead manufacturers to over-invest in green innovation. Therefore, this strategy is effective only when green innovation costs are low, consumer environmental awareness is high, or price sensitivity is low.
A Sustainable Approach-based Optimization of Internal Diamond Burnishing Operation
Authors: Van An-Le , Nguyen Truong-An , Dang Xuan-Ba , Nguyen Trung-Thanh
Published: September 2024

The related works of the diamond burnishing processes focused on improvements in surface quality. The study aims to optimize burnishing factors, including the spraying distance of the nozzle (S), the inlet pressure of the cold air (I), and the quantity of the liquid CO2 (L) of the cool and cryogenic-assisted diamond burnishing operation for minimizing energy consumed (EC) and arithmetical mean surface height roughness (Sa). Burnishing responses are modeled based on the radial basis function network and full factorial data. The entropy method, improved grey wolf optimizer, non-dominated sorting genetic algorithm II, and technique for order of preference by similarity to ideal solution were implemented to calculate the weights, produce solutions, and select the best outcome. As a result, the optimal data of the S, I, and L were 15.0 mm, 3.0 bar, and 11.0 L/min, respectively. The Sa and EC were reduced by 20.4% and 3.8%, respectively, at the optimality. The optimized outcomes could be employed to improve energy efficiency and machining quality for the internal diamond burnishing process. The optimizing technique could be used to solve complicated issues for different burnishing operations. The cool and cryogenic-assisted diamond burnishing process could be utilized for machining different internal holes.
Traffic accident prediction method based on multi-view spatial-temporal learning
Authors: Feng Jian , Liu Tianchao , Qiao Yuqiang
Published: September 2024

Traffic accident prediction is a crucial component of the Intelligent Traffic System, which is important to maintain citizen safety and decrease economic losses. Current deep learning based methods for traffic accident prediction fail to consider the driving mechanism of traffic accidents, so a novel traffic accident prediction method based on multi-view spatial-temporal learning is proposed, which represents the driving mechanism of traffic accidents from multiple views. Firstly, for the urban regions divided by grids, a new augmentation has been designed to augment the spatial semantic information of regions through learnable semantic embedding, then Deformable Convolutional Networks with non-fixed convolution kernels are used to learn dynamic spatial dependencies between regions and Gated Recurrent Units are used to learn temporal dependencies, which can capture dynamic spatial-temporal evolution patterns of traffic accidents. Secondly, Long Short-Term Memory is employed to learn the traffic flow breakdown from the flow difference of adjacent time steps in each region to recognize the traffic accident precursor in the risk environment. Thirdly, accident patterns in different regions are learned from historical traffic flow to determine whether the flow is the dominant factor and capture the spatial heterogeneity of traffic accidents. Finally, the above features are fused for accident prediction at the regional level. Experiments are conducted on 2 real datasets, and the experimental results show that the proposed method outperforms 8 benchmark methods
Prediction and Comparative Analysis of Emissions from Gas Turbines Using Random Search Optimization and Different MachineL earning Based Algorithms
Authors: Aslan Emrah
Published: September 2024

Gas turbines are widely used for power generation globally, and their greenhouse gas emissions have increasingly drawn public attention. Compliance with environmental regulations necessitates sophisticated emission measurement techniques and tools. Traditional sensors used for monitoring emission gases can provide inaccurate data due to malfunction or miscalibration. Accurate estimation of gas turbine emissions, such as particulate matter, carbon monoxide, and nitrogen oxides, is crucial for assessing the environmental impact of industrial activities and power generation. This study used 5 different machine learning models to predict emissions from gas turbines, including adaboost, xgboost, k-nearest neighbor, linear and random forest models. Random search optimization was used to set the regression parameters. The findings indicate that the adaboost regressor model provides superior prediction accuracy for emissions compared to other models, with an accuracy of 99.97% and a mean squared error of 2.17 on training data. This research offers a practical modeling approach for forecasting gas turbine emissions, contributing to the reduction of air pollution in industrial applications.
Microstructural characteristics of a highchromium cast iron hard-facing alloy
Authors: Faras Teresa , Koenig Benjamin , Meyer Paul P. , Diop Ibra
Published: September 2024

t. Hard-facing alloys increase the service life of components exposed to abrasive, erosive, or metal-to-metal wear conditions. Hard-facing is a metalworking process in which layers of a harder material are arc-welded onto a base metal. In particular, high-chromium hard-face weld deposit layers form a strong metallurgical bond with the substrate steel plate, enhancing the resistance to abrasive loadings. Metallurgical and microstructural analysis is conducted to improve the performance of such bi-layered metal structures. The discussion of an HC-O hard-face alloy deposited on S235 steel substrate plates is hereby presented, focusing on the characterization of the coating’s microstructure. The study establishes the relationship among the chemical composition, ‘as-cladded’ microstructure, and hardness properties of the investigated high chromium Fe–27 wt.% Cr–5 wt.% C hard-facing alloy.
Mechanical energy absorption capacity of the porous Ti-6Al-4V alloy under quasi-static and dynamic compression
Authors: Markovsky Pavlo E. , Janiszewski Jacek , Stasiuk Oleksandr O. , Savvakin Dymitro G. , Oryshych Denys V. , Dziewit Piotr
Published: September 2024

Porous materials are very efficient in absorbing mechanical energy in different applications. In the present study, porous materials based on the Ti-6(wt.%)Al-4V alloy were manufactured with the use of two different powder metallurgy methods: i) blended elemental powder approach using titanium hydride (TiH2) as well as V-Al master alloy powders and ii) using hydrogenated Ti-6-4 pre-alloyed powder. The powder compacts were sintered with additions of ammonium bicarbonate as a pore-holding removable agent. The emission of hydrogen from hydrogenated powders on vacuum sintering and the resulting shrinkage of powder particles permitted the control of the sintering process and creation of anticipated porous structures. Mechanical characteristics were evaluated under quasi-static and dynamic compressive loading conditions. Dynamic compression tests were performed using the direct impact Hopkinson pressure bar technique. All investigations aimed at characterizing the mechanical energy-absorbing ability of the obtained porous structures. The anticipated strength, plasticity, and energy-absorbing characteristics of porous Ti-6-4 material were evaluated, and the possibilities of their application were also discussed. Based on the obtained results, it was found that porous Ti-6-4 material produced with a blended elemental powder approach showed more promising energy absorption properties in comparison with pre-alloyed powder.
Strategy and Effectiveness Evaluation of the Integration and Development of Fuzhou Tea Picking Opera and Modern Multimedia Technology
Authors: Liu Fen , Liao Yani , Huang Wei
Published: September 2024

This study utilizes multimedia technology to enhance the communication effect of Fuzhou Tea Casting Opera in order to help the relevant staff clarify the direction for the future development of Fuzhou Tea Casting Opera and social and cultural progress. It describes the role of modern multimedia technology in Fuzhou Tea Casting Opera, describes the specific application of virtual reality technology in Fuzhou Tea Casting Opera, and analyzes the performance characteristics of three-dimensional technology, three-dimensional display technology, and sensing and interaction technology applied to Fuzhou Tea Casting Opera. Finally, through empirical analysis, we test the hypothesis of the communication mechanism model of Fuzhou Tea Picking Opera based on multimedia technology and analyze the direct effect relationship between embodied environment and embodied perception, between embodied perception and communication effect, and the intermediary effect of embodied perception between embodied environment and communication effect. Based on a comparative analysis of the viewing experience, it was found that the viewing effect of Fuzhou Tea Picking Opera is improved after the integration of multimedia technology. In order to prevent multimedia technology from having a negative effect on the development of Fuzhou Tea Casting Opera, this paper finally puts forward the relevant suggestions for the integration of Fuzhou Tea Casting Opera and multimedia technology.
Influence of Morphometric Relief Parameters on Soil Depth Changes and Humus Horizon Thickness in Relation to Erosion-Accumulation Processes: A Study in the Ipeľská Pahorkatina Hills, Slovakia
Authors: Moravčík Marek , Petlušová Viera , Petluš Peter
Published: September 2024

This study examines the spatial distribution of soil types and their susceptibility to erosion and accumulation processes in a study area in Slovakia. Field research involving 71 probes identified various soil types, with Regosols and Cutanic Luvisols being predominant. The study found that erosion-accumulation processes were detected in 69.97% of the probes, with changes observed in soil horizons. Soil analysis revealed different relations between soil depth, humus thickness, and terrain characteristics such as slope, slope length, and slope length and steepness factor (LS factor). Specifically, we confirmed a moderately strong positive correlation between soil depth and humus thickness (r = 0.597, n = 71, p < 0.001). Shallow soils (0–30 cm) exhibited a very strong positive correlation between soil depth and humus horizon thickness (r = 0.978, n = 33, p < 0.001). Conversely, no relationship was found in moderately deep soils (30–60 cm) (r = 0.018, n = 14, p < 0.948). For deep soils, we identified a moderately strong positive correlation (r = 0.345, n = 24, p = 0.098). While slope and slope length showed relationships with soil depth and humus thickness, the LS factor did not exhibit a clear correlation. These findings underscore the importance of understanding soil dynamics in informing land management practices, especially in areas susceptible to erosion. Recommendations include continued monitoring of eroded soils and implementing erosion control measures to maintain soil health and sustainability in agricultural production amidst climate change challenges.
Plant Community Hemeroby is a Reliable Indicator of the Dynamics of Reclamation of Lands Disturbed by Mining
Authors: Kunakh Olga , Lisovets Olena , Podpriatova Nataliia , Zhukov Olexander
Published: September 2024

Reliable indicators of success are needed to monitor the process of reclaiming disturbed land in order to understand the achievement of reclamation objectives. The formation of coherent dynamics of vegetation and soil development is ultimately a crucial condition for the success of reclaiming territory disturbed by surface mining and the possibility of using reclaimed land in agricultural production. The study revealed a relationship between the phytoindicator of vegetation hemeroby and the physical properties of technosols to prove its application as a measure of the restoration of the disturbed ecosystem in the reclamation process. The plant communities were classified into beta-, alpha-euhemerobic, polyhemerobic and metahemerobic levels of anthropogenic transformation. The technosols varied in the proportion of hemeroby levels of plant communities. The hemeroby level was consistent with the physical properties of technosols. A decrease in hemeroby level resulted in increased soil electrical conductivity, decreased soil penetration resistance and altered soil aggregate structure. The hemeroby of plant communities is a dependable phytoindicator of ecosystem restoration during reclamation.
Ecological–Coenotic features and Current Distribution Echinocystis lobata (Michx.) Torr. et A. Gray (Cucurbitaceae) in Ukraine
Authors: Koniakin Serhii , Budzhak Vasyl , Leshcheniuk Olena , Gubar Liubov
Published: September 2024

The information on the spontaneous spread (1152 localities) of the invasive species Echinocystis lobata is summarized. It was found that this alien species is timed to coastal water biotopes, floodplain meadows, mesophytic forests, wetlands, as well as disturbed ecotopes. The syntaxonomic scheme of vegetation with the participation of E. lobata includes 13 classes, 7 orders, 8 alliances, and 8 associations. It is predicted that under the conditions of a temperature increase of 3 °C, there will likely be changes in the carbonate content (Ca), water regime (Hd) of the soil, thermal regime (Tm), and climate humidity (Om), which will cause a reduction in the secondary range of the species in Ukraine, and the changed acid regime of the soil will cause (Rc) its disappearance in some localities. The obtained data can be used to carry out preventive measures regarding the emergence and further distribution of E. lobata in new habitats with different degrees of anthropogenic transformation.
Land Use/Cover Dynamics and its Implication on the Sustainability of Urban Agriculture in Selected Urban Centers of Ethiopia
Authors: Gibtan Ashagrie , Abera Wondwosen , Delelegn Mekuria , Maru Molla , Emiru Adamu
Published: September 2024

Analysis of urban Land Use/Land Cover (LULC) dynamics in light of urban agriculture (UA) helps to understand its implication for UA practice and in turn making the necessary interventions. Therefore, the main objective of this study was to examine the LULC dynamics in selected urban centers of Ethiopia (Addis Ababa, Bahir Dar, Adama, and Hawassa cities) for the last seventeen years (2006–2022). SPOT 5 satellite imagery for the year 2006 and 2016 and Sentinel image for the year 2022 were analyzed. In addition, data from key informant interviews, focus group discussions, and field observations were used to triangulate LULC analyses information and to identify the main causes of LULC dynamics in the studied urban centers. The findings reveled that there were rapid expansion of urban built-up areas at the expense of other urban LULC types mainly of peri urban horticultural lands for the last 17 years (2006‒2022) in Addis Ababa, Hawassa, Bahir Dar, and Adama cities of Ethiopia. This has adverse impact on the sustainability of UA. Rapid urban population growth mainly because of high rural urban migration, expansion of squatter settlement, and increment of investment were the main driving forces of LULC dynamics. Based on the findings of this study (changes in LULC and driving factors) the studied cities administrations or authorities need to develop sustainable development plans by considering UA.
Temporal Wildlife Crime Trend and Sociodemographic Attributes of Offenders in Annapurna Conservation Area, Nepal
Authors: Pandey Dayaram , Shrestha Pratistha , Sharma Dipesh Kumar , Silwal Thakur , Thapaliya Anita
Published: September 2024

Wildlife crime has emerged as one of the most crucial threats to biodiversity conservation and is particularly severe in south and southeast Asia. Addressing the ever-increasing challenges of wildlife crime in Nepal requires strategies informed by rigorous analysis of spatiotemporal patterns of wildlife crime. However, little do we know about the nature and trends of wildlife crimes in Nepal. Retrieving the information on the registered wild-life crime cases of Annapurna Conservation Area (ACA) from the Annapurna Conservation Area Liaison Office (ACALO) and Kaski District Court, this study assessed the temporal trend and spatial pattern of wildlife crime in the ACA from 1994 to 2019. Additionally, this study assessed the sociodemographic characteristics of the people convicted in wildlife crime cases. A total of 48 cases of crimes were registered over the last 25 years among which the majority of the cases were of poaching and wildlife trophies transportation (89.6%) mainly from Kaski district (60%). For those cases, a total of 132 people were convicted (65% from local villages and 35% from outside the ACA). About 68% of the convicted perpetrators were from Janajati ethnicity with poor economic conditions. These inferences emphasize the necessity of understanding the severity and pattern of the crime to prevent it by synthesizing and implementing conservation programs such as educating targeted groups and providing alternative sources of income.
One reservoir and different views on local development: text mining analyses for the Mucharz Reservoir, Poland
Authors: Piróg Danuta , Wiejaczka Łukasz , Fidelus-Orzechowska Joanna
Published: September 2024

In this study, we analyzed the relationship between how a community views reservoir construction and the plan for local development around it. Specifically, we focused on the social perception of the Mucharz reservoir in Poland. The research hypothesis assumed that residents’ expectations of socioeconomic development around the reservoir dam determined whether they were satisfied with the project. Fifty-nine in-depth interviews with residents of villages adjacent to the newly created dam facility were conducted. The resulting data were analyzed using text mining methods. We identified three groups of people who perceived the reservoir in different ways. Most respondents perceived the reservoir positively, mostly because of economic benefits from investments, including job creation or intensive tourism development. However, these issues do not always determine whether a local community perceives a dam project positively.
Citizens’ Satisfaction with “Citizens’ Initiatives”: The Case of the Municipality of Ljubljana
Authors: Kozjek Tatjana , Verbič Miha , Umek Lan
Published: September 2024

Based on a survey, this article analyses the satisfaction with communication between citizens and public servants in the Municipality of Ljubljana (MOL). It highlights the potential of a citizen relations management tool to emphasise the importance of effective communication between the municipality and citizens, the role of civic engagement in the development of the municipality and the importance of understanding and managing differences in satisfaction between citizens and public servants. A notable satisfaction gap exists, with citizens generally more satisfied than public servants, except for accessibility to initiatives and problem-solving. The study recommends adopting successful tools, such as those used in Ljubljana, to improve communication, citizen participation and the quality of services. It emphasises the importance of understanding communication dynamics to tailor municipal improvements and promote civic engagement and calls for further research in Central and Eastern European municipalities.
The 2020 Czech Regional Elections in the Shadow of the Covid-19 Pandemic: Electoral Participation in the Spread of the Pandemic
Authors: Maškarinec Pavel , Klimovský Daniel , Novotný Lukáš , Bláha Petr
Published: September 2024

The aim of the paper is to analyze the 2020 Czech regional elections held after the most intensive phase of the election campaign occurred during an unprecedented outbreak of new COVID-19 cases. Shortly after the elections, the Czech government of premier Andrej Bahis officially announced a state of emergency, and the Czech Republic became one of the world’s COVID-19 hardest-hit countries within a few weeks. Our analysis focuses especially on trends in the association between the 7-day incidence of COVID-19 and voter turnout between September 19 and November 14 at the level of 206 Czech microregions. While our results show a considerable rise in COVID-19 incidence per 100,000 people in Czech microregions with higher turnout, this effect was partly modified by age as the rise of COVID-19 in microregions with older populations occurred much later.