bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on UAV Fixed-point Delivery Problem Based on Aerodynamics
Authors: Wang Lulu
Published: January 2024

Aiming at the problem of UAV fixed-point delivery. In this paper, the air resistance model in the aerodynamic model is combined with Newton's second law to construct an efficient solution to the ball projection problem at low speed. Firstly, the motion of the ball is decomposed into two directions: horizontal and vertical. By simplifying the model, the horizontal flight distance of the ball under three wind directions is obtained, and then the delivery distance of the aircraft is obtained. Secondly, considering the function of UAV to perform the blasting task, the aircraft used a certain Angle of dive, and subject to the distance constraints, followed by the dynamic model. Finally, through numerical iteration, the dive Angle of the aircraft under the wind direction and the straight-line distance between the position of the aircraft when it is launched and the target were obtained. Under the influence of different wind direction and wind speed, the aerodynamic model that can calculate the position and dive Angle of the UAV when it is launched at fixed point is obtained according to the direction and size of the influencing factors.
On Market, Finance and Risk of an Integrated Practical Platform for Intangible Cultural Heritage Campus Cultural and Creative Dissemination, Incubation, Exhibition and Sales
Authors: Ma Weiliang , Hu Houhua , Chen Jin
Published: January 2024

This article introduces the establishment and operation plan of an integrated practical platform for the dissemination, incubation, exhibition, and sales of intangible cultural heritage on campus, aiming to promote the inheritance and innovation of intangible cultural heritage on campus, and transform it into products and services with commercial value. Through market analysis, including SWOT analysis and market feasibility analysis of the cultural and creative industry in Bengbu City, the development prospects of the platform in the campus market of Bengbu City have been determined. In response to market objectives, marketing strategies such as customer segmentation, pricing, promotion, and marketing have been adopted. In terms of financial analysis and forecasting, investment analysis, analysis of the three major financial statements, and analysis of financial indicators were conducted to evaluate the economic benefits of the platform. At the same time, detailed analysis was conducted on market risk and risk control, competitor risk and risk control, fund risk and risk control, product risk and risk control, sales risk and risk control, as well as construction and operation risk and risk control, and corresponding countermeasures were proposed.
Research on the Development Status of Static Wireless Charging Technology for Electric Vehicles
Authors: Yan Ruihan
Published: January 2024

With the greenhouse effect and massive energy exploitation, the energy crisis and environmental issues have attracted more and more attention. Electric vehicles have received widespread attention for their advantages of clean energy saving, low noise, environmental protection, zero emission, and smooth start. Wireless charging technology has advantages that contact charging cannot match, such as safety and convenience. Therefore, the adoption of static wireless charging technology for electric vehicles represents a prominent future development trend. This article commences by presenting the current research landscape of static wireless charging technology for electric vehicles globally, elucidates the principles behind three such technologies, conducts a comparative analysis of their merits and demerits, and ultimately outlines the future technological trends in static wireless charging for electric vehicles.
Research on Temperature Simulation of Underground Coal Gasification Wellbore
Authors: Wei Minghui , He Yilin , Deng Aihua , Tao Qiuyang
Published: January 2024

This study aims to integrate the theoretical distribution calculation of temperature and pressure during the gasification process through the derivation of heat conduction, thermal radiation and pressure control theory in the underground coal gasification process, and analyze the temperature of the underground coal gasification process through finite element modeling. Field influencing factors and pressure changes over time. It is of great significance to obtain the relevant parameters of the gasification chamber in the underground coal gasification process.
An Identification Method for Intelligent Prediction of Drilling Overflow Based on BiLSTM-BP Neural Network
Authors: Zhou Yuqian , Zhang He
Published: January 2024

The prevention and control of overflow is an important task to ensure the safe and efficient development of oil and gas fields, and the traditional overflow monitoring methods have the defects of insufficient real-time and low reliability. This paper proposes an early overflow intelligent identification method based on BiLSTM-BP neural network to address the problems of insufficient real-time and low reliability of traditional monitoring means; the lack of downhole drilling measurement data affects the prediction accuracy of multi-source data fusion. Firstly, the input parameters of the model are optimized through correlation analysis; secondly, the hidden features and complex change laws in the overflow monitoring data are learned by using bi-directional long and short-term memory network to realize the repair of downhole missing data; finally, the BP neural network realizes the early overflow intelligent identification. The test set data and field test results of a test well in Bozhong oilfield show that the early overflow intelligent identification method based on BiLSTM-BP neural network constructed in this paper can realize the intelligent identification of early overflow using multiple monitoring parameters of surface integrated logging, high-precision flowmeter at the wellhead and downhole drilling, and the identification accuracy reaches 97.02%, which is 1.23% better than the existing model and It can identify the overflow more quickly while ensuring higher accuracy. It provides a key theoretical model for early overflow identification technology from traditional identification to intelligent identification.
Analysis of the Current Status of UAV Power Sources
Authors: Xu Yiheng
Published: January 2024

UAVs have been applied in various industries and fields, and have an indispensable role. UAV power system is the key to the normal work of the UAV, this paper focuses on the summary introduction of lithium-ion battery, internal combustion engine, solar energy, fuel cell and hybrid power of the working principle, domestic and international research status, key technologies, advantages and disadvantages, part of the classification and application of the power system, and UAV power of the future development and outlook and so on.
Study on The Applicability of Drones in The Process of Forming Towers of 500KV Transmission and Substation Lines in Highland Areas
Authors: Du Bin , Wei Baowen , Li Suai , Liu Guohui
Published: January 2024

With the continuous development of science and technology in China, China's aviation field has also been expanding, the rapid development of aviation technology, China has gradually achieved leapfrog development in UAV equipment, and gradually tends to civilization, practicality and commercialization. At present, more and more UAVs are not only opening up in the domestic market, but also have flowed to overseas markets, and the modern advanced technology represented by UAVs has gradually become the current trend development trend. In the field of electric power engineering construction, the use of drone technology is short and wide, and there are drones in both high-altitude areas and plain areas. In terms of the engineering field, the UAV technology involves the construction, monitoring and management of power grids, fault and equipment maintenance of power grids and transmission line inspection, etc.
Review: Development Trends in the Reuse of Waste Materials in Concrete Production
Authors: Gao Xin
Published: January 2024

This comprehensive review explores the development trends in the reuse of waste materials in concrete production, highlighting their critical role in advancing sustainable construction practices. We conduct an in-depth comparative analysis of various waste materials such as fly ash, slag, and recycled aggregates, and their impact on the properties and performance of concrete. The chapter also presents innovative case studies, such as the use of recycled glass and plastic waste in concrete, demonstrating real-world applications of these sustainable practices. Additionally, the review discusses technological advancements that facilitate the efficient processing and integration of waste materials into concrete. The overall focus is on balancing environmental benefits with the technical, economic, and social challenges inherent in adopting these sustainable methods. This review underscores the urgency and potential of integrating waste materials into concrete production, providing insights into the future directions of sustainable construction.
Model-Driven Multibeam Line Measurement System Design
Authors: Pang Weiliang
Published: January 2024

Multibeam bathymetric system is a complex combination of multi-sensor system. The multibeam bathymetric system is mainly used in the measurement of water depth of waterways, and the scientific layout of the survey line can improve the measurement efficiency, and at the same time, truly and perfectly reflect the topography of the waterway. This paper establishes a mathematical model of coverage width and overlap rate between adjacent strips for multibeam bathymetry, and calculates the parameters such as water depth, coverage width and overlap rate between adjacent strips at the center point of different survey lines. Firstly, a single slope multibeam line model was established to calculate the coverage width and the overlap rate between adjacent strips of the multibeam bathymetric system, taking into account the influence of the slope of a single slope. Then, considering the influence of the angle between the direction of the survey line and the projection of the normal direction of the seafloor slope on the horizontal plane, a mathematical model of multibeam bathymetry with variable survey line direction is established by downscaling the geometrical relationship in the three-dimensional space to the two-dimensional plane. Again, based on the principle of line design, all the lines with overlap rate between 10% and 20% are comprehensively screened, and the enumeration method is adopted to find out the optimal lines under each group of conditions. Finally, a three-dimensional seabed model is constructed based on the actual sea depth data, and the optimal measurement direction and spacing of the survey lines are determined based on the real seabed topographic features, which achieves the goal of minimizing the length of the survey lines, and at the same time, ensures that the survey lines can cover the entire sea area to be surveyed, and the iterative method is used to search for the final direction of the survey lines and find the optimal solution.
Chemical Synthesis and Properties of A New Collector for Solid Waste Phosphogypsum
Authors: Yan Zhongmin , Mao Siyi , Peng Liuling , Tao Fei , Liao Lu
Published: January 2024

Harmless treatment and resource utilization of phosphogypsum are of great significance for environmental protection and promoting the sustainable and healthy development of phosphorus chemical enterprises. This paper introduces the policy environment, main impurities and collector types of phosphogypsum in China and the research status at home and abroad.
Study on Anthropomorphic Lane Changing Decision Making for Smart Trucks Based on Driving Behavior
Authors: Hou Shenhao
Published: January 2024

In order to improve the applicability of the lane change decision model to different styles of drivers, especially for trucks with less flexibility and stability of their own, safe and reasonable lane change decisions are more important. In this paper, based on the research of integrating personalized driver styles in automatic lane change control technology, a vehicle lane change decision model considering driver styles is established. Firstly, the HighD dataset is screened and the drivers are classified by driving style using principal component analysis and K-means (K-means) cluster analysis. Secondly, we propose a lane change decision model that takes into account the rationality and safety of lane change by learning human drivers' driving behavior experience through Long Short-Term Memory (LSTM) method, so as to improve drivers' acceptance and satisfaction of smart cars. Finally, the joint simulation by Simulink/CarSim/PreScan software proves that the lane change decision method based on the driver's style proposed in this study can realize the autonomous lane change task of smart cars.
Evaluation on Risks of Manufacturing Enterprise Supply Chain based on BP Neural Networks
Authors: Lv Yimiao , Peng Haibin , Li Wenhao
Published: January 2024

In order to improve the evaluation and management of manufacturing enterprise supply chain risk and enhance the resilience of supply chain, this study evaluates enterprise supply chain risk from the perspective of sustainable development. Firstly, the risk factors that may exist in the supply chain are identified, and the supply chain risk evaluation index system is proposed. Then the risk evaluation model based on BP neural network is established, and the neural network model is trained, tested and evaluated by using the survey data. The survey and test results show that the overall risk of the enterprising is at a low level, and the risks of each link are different, among which, the financial risk, logistics risk and cooperation risk are at a high level, and the other risk factors are at a low level. The risk factors contributing the most to the enterprise supply chain risk were extracted. This paper theoretically enriches the supply chain risk evaluation methods, and puts forward feasible suggestions for enterprises to prevent supply chain risks and optimize and stabilize supply chain.
Experiences of Martial Arts Coaches Dealing with Parents: Managing Relationship
Authors: Wei Shenghui
Published: January 2024

This study examines the experiences of martial arts coaches dealing with parents and how they manage their relationships as coaches. The research was conducted at Chongqing Normal University in China, involving five university martial arts coaches who have been serving for at least 18 years. The study revealed that these coaches have a passion for teaching and a strong emphasis on research, competition, and professional development. The experiences coaches have with parents before training  are multi- faceted, encompassing various themes that contribute to fostering a positive and supportive environment. As coaches guide their trainees or athletes through the training process, the interactions between coaches and parents play a pivotal role in shaping the overall journey. Post-training interactions focus on various themes that aim to foster a supportive and encouraging environment for the young athletes. During a competition, the involvement of parents in the training process takes on a new dimension, and their interaction with coaches becomes crucial to the athletes' performance. After the competition concludes, coaches engage invital interactions with the parents of their trainees or athletes to reflect on the performance and progress achieved. Recommendations from the study include maintaining regular communication with parents, educating them about the martial arts discipline, highlighting character development, discipline, and respect, requesting positive reinforcement rather than solely on competition results, clearly communicating training goals and expectations, offering constructive feedback after competitions or training sessions, encouraging parents to participate in specific training activities, managing expectations realistically, and demonstrating professionalism, respect, and dedication as a coach.
Dynamic Impact Mechanical Test of Rubber Based on DIC Method
Authors: He Minghang
Published: January 2024

In order to study the strain field of rubber material in the impact process, the impact test of rubber body was carried out by E-SHPB device. Combined with high-speed photography and DIC technology, the non-contact measurement of rubber materials was carried out, and the obtained data were compared and screened. The impact compression diagram and strain field change cloud diagram of rubber in the impact process were obtained. The test results show that during the dynamic impact process, the strain concentration phenomenon first occurs at the contact area between the rubber body and the incident rod in the early stage of impact. As the stress wave propagates inside the material, the strain concentration phenomenon gradually shifts, and finally tends to the middle area to produce a larger strain concentration. At this time, the rubber body is highly compressed and reaches a critical state of springback.
Application Analysis of Blasting Construction in Tunnel Excavation
Authors: Li Zhiming
Published: January 2024

This article combines the engineering background and relies on geological conditions and blasting construction methods to briefly analyze the necessity of applying tunnel blasting construction technology and the influencing factors of the rear support structure of the palm face. The aim is to provide reference significance for efficient and safe construction in complex geological conditions and its later use.
The Development of Flexible Manufacturing Systems in Automotive Production Under the Background of Industry 4.0: A Descriptive Study
Authors: Wang Lingyun
Published: January 2024

Taking Industry 4.0 as the background, this paper investigates the role of Flexible Manufacturing System in automobile production, introduces flexible systems from the application of CNC machine tools, manufacturing robots and computer control systems in automobile production, summarizes the existing technical barriers, and points out the feasible development direction.
Pump Fault Detection Based on MFCC-MLCNN
Authors: Sun Chunyin , Song Dexin , Liu Haorui
Published: January 2024

Detection of industrial water pumping systems is both a practical and important area of research in industrial production. The accuracy of fault detection is crucial because failure of fault detection can lead to pump damage and reduced productivity. In order to timely and accurately identify the working status of water supply pumps, a pump fault detection method based on Mel Frequency Cepstrum Coefficient with Migration Learning Convolutional Neural Networks (MFCC-MLCNN) is proposed. The sound signals of water pumps under different operating conditions are preprocessed to calculate their MFCC features as static features, and further processed to obtain the first-order difference MFCC features as well as the second-order difference MFCC features as dynamic features. In this study, the audio dataset of water pumps recorded with ambient noise in a real industrial environment is used. Usually, fault detection datasets are unbalanced because the amount of fault data is limited. A practical way to deal with this problem is to use deep migration learning, where high accuracy can be achieved with limited labeled data. In this study, a migration learning convolutional neural network is introduced to establish a pump fault diagnosis model. The experimental results show that the method proposed in this study can effectively recognize the working state of water supply pumps with a small amount of sample data and model parameters.
Quantile Regression Model and Its Application Research
Authors: Xu Mengfan
Published: January 2024

Quantile regression is a regression analysis method that estimates the parameters of a model by minimizing the weighted sum of absolute residuals. It was introduced by Roger Koenker in 1978. As a complementary and extended approach to the traditional regression method, namely least squares method, quantile regression addresses the limitations of least squares method in the presence of heteroscedasticity and ensures the robustness of quantile regression through its robustness to outliers, which compensates for the weakness of least squares method in dealing with outlier data. In practical applications, quantile regression can provide a more comprehensive reflection of data information and capture the tails of the distribution of the dependent variable, thus overcoming the limitation of least squares method that can only estimate the central tendency of the dependent variable distribution. Moreover, quantile regression provides more reasonable interpretations and prevents biased or even erroneous estimations that can occur when using least squares method. Overall, quantile regression offers a novel regression method that addresses many shortcomings of least squares method. By combining quantile regression with least squares method, we can understand both the central tendency and tail behavior of the dependent variable distribution. The fitting results obtained from quantile regression can also provide insights into the suitability of least squares estimation. Briefly, the combination of both methods yields better results in statistical problems. This paper introduces the principles of quantile regression and further discusses its scope and application, aiming to provide a preliminary summary for a better understanding of quantile regression.
Performance Evaluation and Real-world Challenges of IoT-Based Smart Fuel Filling Systems with Embedded Intelligence
Authors:   University of Sfax, National  School of Electronics and Telecommunications of Sfax, BP 1173, Sfax, 3038, Sfax, Tunisia, ALqazan Muneer Sadeq ,   Department of Information Systems, Faculty of Computing and IT, Northern Border University, Rafha, Saudi Arabia,   Faculty of Sciences, University  of Sfax, Sfax, Tunisia,   Faculty of Sciences, University  of Sfax, Sfax, Tunisia, Ammar Mohamed Ben , .. Monji , Kammoun Fahmi
Published: January 2024

Integrating the Internet of Things (IoT) with smart fueling systems has the potential to revolutionize the fuel industry, leading to better resource management and increased operational efficiency. With the increasing integration of machine learning techniques, these systems are capable of self-learning, adaptation, and predictive decision making. However, the effectiveness of these advanced systems in real-life situations remains an area of intense interest and research. in operational efficiency and reduces resource waste by 10% compared to conventional systems. Additionally, system bottlenecks were identified mainly in data trans- mission (delayed by up to 20% in high traffic cases) and hardware malfunctions due to environmental factors. End user feedback indicates a satisfaction level of 85%, with an emphasis on system responsiveness and fuel prediction recommendations. Challenges mainly come from software issues, unwanted environmental interference and ’some initial resistance from users accustomed to conventional systems. However, with data in hand, the benefits of integrating intelligence into IoT-based fueling systems offer a sustainable and efficient future for the fuel industry. Recommendations are made to improve data transmission channels, develop robust hardware for extreme conditions, and conduct targeted user education campaigns.
Unraveling the Complexity: A DEMATEL Analysis of the Negative Impact of Artificial Intelligence (AI) Adoption among Students in Higher Education
Authors:   Pusat Pengajian Matematik, Universiti Teknologi Mara Cawangan Negeri Sembilan, Kampus Seremban, 70300 Seremban, Malaysia; Fakulti Sains dan Teknologi, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor Darul Ehsan, .. Zahari Md ,   Faculty of Business Management Universiti Teknologi MARA Cawangan Negeri Sembilan, Kampus Seremban,   College of Communication, Zaozhuang University, Zaozhuang, 277000, Shandong, China,   Department of Mathematics, Faculty of Education for Pure Sciences, University Of Anbar, Ramadi, Anbar, Iraq,   College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq,   Basic Sciences Department, Preparatory Year Deanship, King Faisal University, Al-Ahsa 31982, Saudi Arabia,   Deanship of Development and Quality Assurance, King Faisal University, Al-Ahsa 31982, Saudi Arabia, Mohamad Wan Normila , Lu Zhang , Al-Sharqi Faisal Al , shlaka Rawan A. , Al-Quran Ashraf Al , Awad Ali M. Alorsan Bany
Published: January 2024

This research employs DEMATEL analysis as a methodological approach to thoroughly examine the adverse consequences of implementing Artificial Intelligence (AI) among students enrolled at Universiti Teknologi MARA (UiTM) Negeri Sembilan, Malaysia. The analysis encompasses three distinct professional cohorts: student representatives, academic staff, and upper management. Through a systematic analysis of causal relationships between multiple factors, this study aims to identify and prioritize the fundamental elements contributing to the negative consequences associated with integrating artificial intelligence. The prominence of privacy and security concerns as a causal factor highlights the importance of implementing strong data protection measures and adhering to ethical practices related to AI. Furthermore, various factors connected with personal disconnection, restricted adaptability, dependance on technology, and insufficient emotional intelligence influence the adverse outcomes of artificial intelligence implementation among students. The results underscore the necessity of implementing focused interventions and strategies to tackle these difficulties and guarantee a harmonious and advantageous integration of artificial intelligence in students' educational journeys. Higher education institutions can effectively harness the advantages of AI while ensuring their students' welfare and educational achievements by recognizing and proactively addressing any potential limitations.
Advanced Intrusion Detection in Vehicular Networks: Empowering Security through Hybrid Off-loading Techniques and Enhanced Radial Bias Neural Network
Authors:   Department of Information Technology, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India,, .. Prashant Kumar ,   Department of Information Technology, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP, India,, Agarwal Ratish
Published: January 2024

Over the last several decades, the implementation of ITS has shown to be the most efficient and successful strategy for expanding the variety of current transportation networks. Vehicle-based offloading of data going to be essential for forthcoming networking innovations like D2D and 5G due to the substantial contribution it makes to efficiently using network capability while wasting minimal power. Information transmissions that would normally need a cellular network's infrastructure may instead be made using alternative networking mechanisms including Bluetooth, WiFi, and opportunistic communications. Data offloading has the ability to significantly increase the efficiency with which network resources are used. The offloading of data from vehicles has a considerable impact on the strain on cellular networks. It helps the network achieve higher throughput by facilitating the simultaneous reception of data by a large number of users. First, we must establish that the problem of Vehicular data offloading is an NP-hard target set selection (TSS) issue before we can even begin to characterize it. Using a combination of Hybrid PSO and GWO, TSS selects a small group of nodes to do the redundant data exchange (Particle Swarm Optimization with Gray Wolf Optimization). Collaboration between individuals and ISPs to identify effective aim sets may provide useful insights. If malicious users are present in the target group, they may slow down network activity by spoofing or by reducing the network's offloading capacity. It is possible that the whole network's performance would suffer as a direct result of these malicious users. In this study, we suggest a hybrid approach to communication for specifying the intended audience. We take use of the characteristics of opinion dynamics amongst users to get around the issue of overlapping community detection. Trust-based metrics inferred from users' activities are used to ensure the safety of the target set. In order to call 911, the suggested work additionally incorporates a method of sorting and classifying the offload limitations through Radial Bias Neural Network (RBNN). The following may be determined with the use of the proposed work's performance indicators: precision, entropy, and delay.
Tribal Masculinity: An Alternative of Anti-ecological Masculinity
Authors: E Pavithra , Raju R. L. N.
Published: January 2024

Masculinity is considered as behavior and attributes expected out of men. It is a socially constructed concept that is shaped by gender roles, societal expectations, and power dynamics that vary across cultures and historical periods. The studies concerning men, masculinity, and nature relations emerged as a response to the essentialized notion of associating men with culture, patriarchy, oppression, and women with nature, rather than focusing on the complexity of masculinities and their relation with nature. Further, Ecomasculinity and Ecological masculinism are Western concepts and frameworks that evolved out of the studies concerning men-nature relationships. Considering the plurality of masculinity and the nuances of men-nature relationships, this paper explores the intersection of men, masculinity, and nature in Tribal society in the context of South India. The study employs textual analysis as a method to explore men-nature relationships. The text considered for the analysis is the novel Huntsman by Lakshmi Saravanakumar, translated into English by Aswini Kumar. The novel presents an indigenous tribal society rooted in the forest with interpersonal connections between humans and non-humans. The paper demonstrates how the concept of Home, Indigeneity, and life in tribal society caters to the construction of the notion of masculinity, which emphasizes caring attitudes toward nature. The perspective of indigenous society challenges the traditional notion of masculinity as dominant and oppressive. This paper argues that masculine discourse in Tribal society is counter-hegemonic, and is built on caring towards humans and nonhumans rather than domination.
It’s Tandem, not Tinder! Interrogating Authenticity and Trustworthiness of Language Exchange Applications in Adult Learners: A Central Asian and Middle Eastern Perspective
Authors: Wardak Masuda
Published: January 2024

Language exchange is based on teaching (the native language) and learning (the foreign language) in tandem. There are numerous language exchange applications (LEAs) on smartphones that connect language exchange partners from all over the world. This study investigates the trustworthiness of these applications and whether they are genuinely used for exchanging the target language or used as a camouflage for finding friends and building relationships. The study was conducted using a case-study approach focusing on two identical language exchange applications. Research tools included questionnaires and observation. The participants were active LEA users and included male and female language learners. The empirical data collected from LEAs and the qualitative data analysis will first look into application authenticity, user honesty and the most common misuse of the LEAs. It then attempts to gauge users’ attitude towards LEAs. Finally, it puts forward some recommendations for implementing LEAs amongst application developers, educators and adult learners.
What could the Railway teach us about Progress?
Authors: Hillgren Per-Anders
Published: January 2024

Propelled by steel, charcoal and steam the railway once carried the story of progress and the rise of the developed modern society. While the orient express nurtured a vivid, mythical aura during more than a hundred years, it seems like future stories about the railway mainly gravitate around hyperloops and increased speed. How come the narratives around railways have become so futile? How come imaginaries about progress have got stuck? With the help of critical imagination and the method of design fiction, this article will set out on an imaginary journey to re-storying the future railway and discuss how this could help us rethink progress. Alternative paths will be explored that allow room for stories depicting train rides in slower paces and complex rhythms and materials, a rich melting pot for diverse and vivid sub-cultures, bottom up grassroot services, experimental sharing cultures, touring theater companies, maker movements, and new citizen-driven cooperatives.
Together-telling as a means to share cultural perspectives in Education for Sustainable Development
Authors: Ritter Eva
Published: January 2024

Education for Sustainable Development (ESD) is considered one of the paths leading towards a sustainable future. However, work in ESD must be responsive to the local context and culture in order to be accepted by the people involved. This article examines how together-telling can be used as a means for collaborative future-making in ESD. By reflecting on cultural differences in nature relationships and manners of communication, together-telling is suggested as an approach to give space to voices other than those dominating the global sustainability narratives. The focus is on a respectful way of bringing together and learning from different perspectives of Western-European and Arctic Indigenous cultures in the context of sustainability. A study from Greenland is used as an example from an Indigenous culture in Northern Europe.
Machine Learning based Forest Fire Prediction: A Comparative Approach
Authors: Patil Rohini , Pawar Janhvi , Shah Kamal , Shetty Disha , Ajith Aparna , Jadhav Sakshi
Published: January 2024

Wildfires are among the world's most pressing issues, and they are getting more prevalent as global warming and other environmental conditions deteriorate. These wildfires might be caused by humans or by natural causes. Wildfires are one of the factors contributing to the extinction of rare flora and wildlife that serve to maintain our planet's ecological balance. In this paper, a comparative analysis of various machine learning classifier models for predicting forest fires was undertaken using two separate datasets. The suggested system's processing is dependent on a few characteristics such as temperature, humidity, oxygen, and wind. Several machine learning classification techniques, including logistic regression, support vector classifier, decision tree, k neighbors and random forest, were used in this study. For further optimization of the model, K-fold cross validation method and hyperparameter tuning were implemented. The system reveals Support Vector Machine as the best strategy for the forest fire dataset, with 96.88% accuracy. Random Forest method was found to be the best for the Cortez and Morais dataset, with 90.24% accuracy.
Faith and Identity in Stephen Crane’s “In Heaven” and Taufiq Rafat’s “This Blade of Grass”: Linguistic Relativity Leading to Worlds Within Words
Authors: Sajid Ali  , Huma Batool  , Maria Farooq Maan
Published: January 2024

This study revolves around the idea that literature which comes from different social and cultural backgrounds often flags the differences between faith and identity and thereby extends the debates surrounding them. It attempts to analyse two works by two different poets: “In Heaven” by Stephen Crane and “This Blade of Grass” by Taufiq Rafat. Both bring a diversity of ideas into their works while writing about faith since they are from two different social and cultural backgrounds. This study approaches both texts from the perspective of linguistic relativity, which helps us understand the conceptualisation of textual meaning in relation to semantic relativity (Casasanto 174). The argument here focuses on the close reading of the texts while foregrounding their lexical and contextual meanings. Descriptive, interpretive research techniques are used for textual analysis to look at both works contrastively in order to extract their linguistic relativity vis-a-vis their subject matter and to extract elements of faith and identity embedded within them. At the same time, this study finds that despite dealing with similar subject matter, setting, character, and language, the two poems reflect two distinct identities because of the linguistically relative meaning of words. The difference in identities was evident because of the differences in faith where Crane’s blade of grass is portrayed through biblical references while Rafat’s blade of grass is situated in the context of Sufism and fana.Keywords: Faith, identity, darvesh, linguistic relativity, world within words
Communication skills formation in cadets of investigative specialization in the process of their professional training
Authors: Miloradova Natalia , Okhrimenko Ivan , Bilevych Nataliia , Bloshchynskyi Ihor , Pashko Nataliia , Bondar Volodymyr , Palyvoda Olha
Published: January 2024

Communication plays an important role in the work of investigators and determines their performance throughout their professional career. Investigators’ communication skills ensure the establishment and development of business contacts with various categories of participants in professional relationships, and allow them to formulate profitable interaction strategies. Therefore, in the professional training of cadets i.e., future investigators, developing their communication skills is an important applied task. The research aims to investigate the communication skills of cadets of investigative specialization (future investigators) in the process of their professional training. The research was conducted using psychodiagnostic tools among cadets of the investigative specialization of Kharkiv National University of Internal Affairs (n = 597). It has been established that most of the subjects of interest have stable manifestations of the ability to form the skill to apply justified models of behavior during communication; they reveal a gradual development of the ability to navigate in situations of professional interaction and adapt to new living conditions. Two main variants of manifestation of the communication abilities of cadets i.e., future investigators with participants of interpersonal interaction have been identified: 1) with a predominant tendency to independence, leadership, and dominance; 2) with responsibility, focus on cooperation, and coherence with others. The results of the research confirm the influence of professional training on the process of communication skills formation in cadets i.e., future investigators.
Imaging of the Atria in Atrial Fibrillation Patients Using Cardiac MRI
Authors:   , Hopman Luuk Hendrikus Gerardus Albertus
Published: January 2024

This thesis primarily focuses on investigating atrial remodeling using cardiovascular MRI (CMR) in patients scheduled for an atrial fibrillation (AF) ablation procedure. Atrial remodeling refers to changes in atrial function, shape, and structure, which contribute to the development and perpetuation of AF. Our studies examined various imaging markers of atrial remodeling, and their association with the success of the ablation procedure. One of the most promising novel CMR-based markers is the non-invasive visualization and quantification of atrial fibrosis, as fibrotic tissue transformation is considered to be directly related to the mechanisms governing the development of AF. We performed a critical evaluation of this CMR-based atrial fibrosis detection. Furthermore, we explored the clinical feasibility of interventional CMR (iCMR) for performing flutter ablation procedures.
Adipose Derived Stem Cell‐Conditioned Media As Alternative of Stem Cell Therapy for Diabetic Wound Healing
Authors: Ayesha Nawaz  , Sania Akram  , Hazrat Zaman  , Muhammad Shahbaz Aslam  , Zaigham Abbas1
Published: January 2024

Diabetes mellitus (DM) is a set of metabolic disorder primarily characterized by chronic hyperglycaemia state, which is linked with several complications including retinopathy, neuropathy, and delayed wound healing. Adipose derived stem cells conditioned media (ADSCs-CM) contains several cytokines, and growth factors that can be used for treatment of diabetes-associated wounds. This study was conducted to explore the therapeutic potential of ADSCs- CM in excisional wound model in diabetic mice. Diabetes was induced in mice through Streptozotocin (STZ). Then, excisional wound splinting model in diabetic mice was developed. Subcutaneous injections of ADSC-CM (pure) and ADSC-CM conjugated with zinc sulphate were applied on the mice wound bed. Wound diameter, weight, and blood glucose levels of all the mice groups were measured at the start and end of the experiment. Additionally, qPCR was performed to analyse the expression level of some crucial genes (MMP-2, NANOG and OCT4) associated with wound healing. Overall, the results showed reduced wound size, blood glucose level, and weight restoration in ADSCs-CM treated mice as compared with control groups. Furthermore, ADSCs-CM also modulated the gene expression of MMP-2, NANOG, and OCT4, contributing to the enhanced wound healing observed in diabetic mice. This suggests ADSC-CM’s potential as an alternative therapeutic option for achieving improved wound healing outcomes in diabetic patients.
O SISTEMA PRISIONAL BRASILEIRO E A RESSOCIALIZAÇÃO DO PRESO
Authors: Alfredo Carlos Augusto de Melo , Aleixo Letícia Ramos , Alves Alison Lucas Montoani
Published: January 2024

O sistema prisional é uma estrutura organizada e administrada pelo governo para a detenção e punição de indivíduos que cometeram crimes. Ele inclui prisões, penitenciárias e outras instituições correcionais onde os infratores cumprem suas penas como forma de punição e, idealmente, reabilitação. O sistema prisional envolve a custódia de prisioneiros, a manutenção da ordem nas instalações e, em alguns casos, a tentativa de promover a ressocialização dos detentos para que possam se reintegrar à sociedade após a sua libertação. O sistema prisional brasileiro é caracterizado pela superlotação, violência, condições precárias e falta de recursos. A ressocialização de presos é um desafio devido à falta de programas eficazes de reabilitação e reintegração. No entanto, é importante lembrar que a punição não deve ser vista apenas como uma forma de retribuição, mas também como uma oportunidade para a ressocialização do preso. Esse trabalho tem como objetivo analisar a ineficácia do estado do sistema prisional brasileiro com a ressocialização dos presos em virtude da não observância dos dispositivos da lei de execução penal e da Constituição Federal. Utilizando o método por revisão bibliográfica, buscando artigos os últimos 10 anos para compor atualizada do sistema prisional e as dificuldades encontradas por presos em busca de ressocialização. Este trabalho agregará a comunidade e aos leitores uma revisão dos processos realizados pelo profissional de direito, executando os benefícios que a lei promove para uma vida digna ao ex-presidiario.
PERSPECTIVA ECOFEMINISTA EN TERAPIA OCUPACIONAL: UNA REFLEXIÓN EN TORNO A LAS OCUPACIONES Y SU RELACIÓN CON LA NATURALEZA
Authors: Avello-Sáez Daniela , Castro Brisso Constanza , Montenegro Pérez Catalina
Published: January 2024

Este documento explora la convergencia entre la terapia ocupacional y el ecofeminismo. Desde una perspectiva ecológica, la terapia ocupacional resalta la relación simbiótica entre las personas y su entorno. El ecofeminismo propone una relación de interdependencia y cuidado con la naturaleza, lo cual puede llevar a una terapia ocupacional más holística y sostenible. La integración de los principios del ecofeminismo en la terapia ocupacional tiene el potencial de revalorizar ocupaciones vinculadas al cuidado y la sostenibilidad, como la horticultura, y a redefinir patrones ocupacionales destructivos hacia formas de vida más respetuosas con el entorno. La terapia ocupacional, a su vez, ofrece una metodología para transformar teorías ecofeministas en prácticas concretas, promoviendo cambios ocupacionales que impacten positivamente en la salud y el bienestar de las personas, la sociedad y el medio ambiente. En conclusión, el ecofeminismo proporciona un valioso marco teórico para una práctica de la terapia ocupacional más justa, sostenible e inclusiva.
LOS CUIDADOS EN MI VIDA: APROXIMACIONES AL FENÓMENO DE LA DOBLE PRESENCIA EN MUJERES QUE CUIDAN
Authors: Lichtemberg Jurfest Natalia
Published: January 2024

Durante las últimas décadas, el tema del cuidado ha tomado mayor protagonismo en las agendas políticas y académicas, evidenciando el escenario de crisis global que atraviesa el sostenimiento de la vida. La doble presencia, como reedición que el feminismo hace de la “doble jornada laboral”, un fenómeno que toma forma en esta crisis. A través de esta investigación se buscó conocer la forma de expresión del fenómeno de la doble presencia en la vida cotidiana de mujeres que trabajan en la educación inicial pública en contextos vulnerables en Santiago de Chile y que brindan cuidados dentro del hogar. En la búsqueda de cuestionar la forma tradicional de construir conocimiento, se opta por las Producciones Narrativas, como propuesta de investigación feminista, para posibilitar el surgimiento de textualizaciones coproducidas con las mujeres que fueron parte de este proceso, buscando el surgimiento de nuevos significados hilados entre sí. Los relatos muestran la manera en que la doble presencia impacta en diferentes dimensiones del cotidiano, configurando un escenario en el que el fenómeno se reproduce y agudiza continuamente, condicionando las trayectorias de vida y perpetuando la generización de sujetos/as y ocupaciones.
ANALISIS FINANCIAL TECHNOLOGY (FINTECH) DALAM PERILAKU MANAJEMEN KEUANGAN DI PT BPR BANK JOMBANG PERSERO
Authors: Mutaqien Fandi Ahmad , Aslamiyah Suaibatul
Published: January 2024

Seiring berkembangnya industri, financial technology juga semakin berkembang dengan munculnya Financial Technology (Fintech). Fintech merupakan sebuah inovasi di bidang keuangan yang berkaitan dengan teknologi modern. Tujuan dari penelitian ini adalah untuk mengetahui perilaku pengelolaan keuangan PT BPR Bank Jombang Perseroda sebelum dan sesudah menggunakan fintech peer-to-peer loan. Metode yang digunakan dalam penelitian ini adalah pendekatan deskriptif kualitatif dalam pengumpulan data dengan analisis wawancara langsung dan pengumpulan data dari laporan tahunan PT BPR Bank Jombang yang dilakukan langsung oleh peneliti. Hasil penelitian menunjukkan keberadaan fintech pada PT BPR Bank Jombang memiliki dampak positif. Berdasarkan hasil analisis fintech PT BPR Bank Jombang mengalami perkembangan yang sangat baik setelah berkolaborasi dengan fintech dapat dilihat dalam kurun waktu 2 tahun oleh bank dari pertumbuhan nilai penyaluran kredit, perolehan laba,pertumbuhan tabungan, asset dan deposito. Fintech dikatakan akan memiliki potensi baik dalam lompatan bank dalam layanan pembiayaan keuangan digital.