bluuebunny/crossref_metadata_2025 huggingface dataset:
A study on the foreign tourist’ perceptions and images of North Korean tourism using social media big data analysis: Focusing on viewers’ comments for North Korean tourism YouTube videos
Authors:   The Tourism Sciences Society Of Korea, Park Kyung-Jin , Lee Gye-Hee
Published: June 2023

Looking at actual and potential foreign tourists to North Korea, this study explored their perceptions of North Korean tourism and images of North Korean tourist attractions. Given the uniqueness of North Korean tourism and the difficulties in using survey methods, this study conducted a meaning network analysis of YouTube videos that introduced and illustrated actual North Korean tourism experiences. Specifically, by examining viewers’ comments, we analyzed and compared the words related to the perceptions and images of North Korean tourism and tourist attractions and inferred their inherent meanings. From this, we found that the viewers who watched the videos expressed positive interest in North Korean tourism itself and recognized North Korea's political ideological environment as a unique and unusual attribute of the tourist destination. In addition, they expressed high interest in the lives and lifestyles of North Koreans depicted in the videos, and their overall image of North Korean tourism was positive. On the other hand, the comments signaled distrust in North Korean society and doubts about travel safety, contributing to the negative images of North Korean tourism. Through a similar group analysis, it was confirmed that the words in the comments were divided into clusters of those related to curiosity and interest about (1) North Korea, (2) North Korean tourism and North Korean tourist attractions, (3) North Korean residents, and (4) North Korea and international relations. This study is meaningful for making an academic approach to North Korean tourism which has been relatively unrecognized and analyzing North Korean tourism via YouTube videos.
In-situ analysis of ZrN/CrN multilayer coatings under heating
Authors:   Institute of Strenght Physics and Materials Sciences SB RAS, Tomsk, Russian Federation, Vorontsov Andrey , Filippov Andrey ,   Institute of Strenght Physics and Materials Sciences SB RAS, Tomsk, Russian Federation, Shamarin Nikolay ,   Institute of Strenght Physics and Materials Sciences SB RAS, Tomsk, Russian Federation, Moskvichev Evgenij ,   Institute of Strenght Physics and Materials Sciences SB RAS, Tomsk, Russian Federation, Novitskaya Olga ,   Institute of Strenght Physics and Materials Sciences SB RAS, Tomsk, Russian Federation, Knyazhev Evgenii ,   Institute of Strenght Physics and Materials Sciences SB RAS, Tomsk, Russian Federation, Denisova Yuliya ,   Institute of High Current Electronics SB RAS, Tomsk, Russian Federation, Leonov Andrei ,   Institute of High Current Electronics SB RAS, Tomsk, Russian Federation, Denisov Vladimir ,   Institute of High Current Electronics SB RAS, Tomsk, Russian Federation
Published: June 2023

Introduction. Advanced hard coatings combine different properties such as high hardness, wear resistance, corrosive resistance. At present, layer-by-layer deposited zirconium and chromium nitrides are promising hard coating materials. Currently, the multilayer coating process is not sufficiently described in the literature to understand all the processes involved. The problem is the complexity of depositing thick layers of multilayer, multicomponent coatings with different physical characteristics of the coating components. First and foremost this concerns the coefficient of linear thermal expansion (CTE). Since the coating and operating processes consist in heating, coating components with different CTE will be susceptible to cracking, further failure and product failure over time. The purpose of work is in-situ study of multilayer ZrN/CrN coatings by X-ray analysis using synchrotron radiation and qualitative microstress behavior of multilayer coatings formed by plasma-assisted vacuum-arc method on substrate of alloy VK8 (92% WC–8% Co) under heating up to 750°С. Research methodology. Samples of coatings made of chromium and zirconium nitrides deposited on a substrate of the hard alloy VK8 are investigated. The basic method is the X-ray analysis using synchrotron radiation. We used the most common techniques to study the characteristics of multilayered coatings such as the coefficient of linear thermal expansion and the qualitative measurement of microstresses. Results and discussion. The result is the ability to determine changes in the characteristics of multilayer coatings during heating, such as changes in the crystal lattice parameter of each of the coating components separately, the possibility to determine the coefficient of linear thermal expansion of the coating components and the qualitative measurement of microstresses, as well as providing the opportunity, based on the analysis, to form recommendations for further application of the technology of applying multilayer coatings with given characteristics.
Structure and properties of WC-10Co4Cr coatings obtained with high velocity atmospheric plasma spraying
Authors:   Novosibirsk State Technical University, Russian Federation, Kornienko Elena , Gulyaev Igor ,   Khristianovich Institute of Theoretical and Applied Mechanics SB RAS, Novosibirsk, Russian Federation, Kuzmin Viktor ,   Khristianovich Institute of Theoretical and Applied Mechanics SB RAS, Novosibirsk, Russian Federation, Tambovtsev Alexandr ,   Khristianovich Institute of Theoretical and Applied Mechanics SB RAS, Novosibirsk, Russian Federation, Tyryshkin Pavel ,   Khristianovich Institute of Theoretical and Applied Mechanics SB RAS, Novosibirsk, Russian Federation
Published: June 2023

Introduction. Carbon steel is often used for the manufacture of various machine parts, but its operation in aggressive conditions (operation of steel parts under conditions of wear, high temperatures and aggressive corrosive environments) contributes to an extreme decline in properties, up to failure. To solve this problem the modification of the working surfaces of steel parts can be used. It increases its wear resistance, corrosion resistance, and service life. Metal-ceramic coatings based on WC are often used to improve the hardness, wear resistance and corrosion resistance of steel parts. The work purpose is to study the effect of high velocity atmospheric plasma spraying (HV-APS) modes on the structure, phase composition and properties of WC-Co coatings. Materials and methods. 86% WC-10% Co-4% Cr coatings were deposited on a mild steel substrate with help of the HV-APS method. The structure and phase composition of the coatings were analyzed using optical microscopy, scanning electron microscopy, and X-ray phase analysis. In addition, the results of measurements of porosity, microhardness, wear resistance, as well as a qualitative assessment of the adhesion are shown in this paper. Results and discussion. It is shown that all coatings are characterized by high density, absence of cracks and oxide films. Using the SEM and XRD methods, it is found that the coatings contain WC and W2C particles uniformly distributed in the metal matrix. The matrix is an amorphous or nanocrystalline supersaturated Co(W,C) solid solution. The maximum amount of carbides (49%) is observed in coatings obtained by deposition from a distance of 170 mm, arc current — 140 A; the minimum (25%) is observed in coatings obtained by deposition from a distance of 250 mm, arc current — 200 A. The coatings with the maximum amount of carbides have the maximum values of microhardness (1,284 HV0.1) and wear resistance. It is established that all coatings are characterized by high adhesion.
Purification of ACOD1 expressed in E. coli v2
Authors: Büssow Konrad
Published: June 2023

This protocol describes the purification of the human enzyme cis-aconitate decarboxylase (ACOD1) from recombinant E. coli cells.
Animal housing and ethical concerns v1
Authors: not provided michela.deleidi
Published: June 2023

This protocol details animal housing and ethical concerns.
IHC and image analysis v1
Authors: not provided michela.deleidi
Published: June 2023

A laboratory method that uses antibodies to check for certain antigens (markers) in a sample of tissue. The antibodies are usually linked to an enzyme or a fluorescent dye.
Statistical analysis v1
Authors: not provided carmela.giachino
Published: June 2023

Statistics
Gene Expression v1
Authors: not provided michela.deleidi
Published: June 2023

RT-PCR is a technique to quantify gene expression in samples.
A custom-made hydroponic culture system to study plant roots during root infection with Plasmodiophora brassicae v2
Authors: Auer Susann
Published: June 2023

Plant roots are fascinating organs that anchor the plant in the ground, take up water and nutrients and are the interaction zone for plants with their surrounding microbial rhizosphere. In contrast to easily accessible leaves, the study of these belowground organs is more difficult as harvesting the tissue is time-consuming and - when sampled as whole - kills the entire plant. The time-consuming and often disruptive process of root harvest can hamper molecular studies that require for samples to be harvested in a narrow time frame in order to rule out negative sample bias such as circadian gene regulation or effects that stem of the sample handling rather than the actual assay. For our studies of the soil-borne pathogen Plasmodiophora brassicae in interaction with soil microbes in roots we needed a plant cultivation method that allows quick and easy harvest of root tissue while at the same time allowing the roots to form the pathogen-specific clubbed root structures. We therefore came up with an easy custom-build setup, that can be easily implemented in other laboratories using similar materials. Our setup requires clear square plastic containers high enough to keep our desired plant species (Arabidopsis and Brassica) and a custom-build rack with holes that fit 10ml pipette tips. This setup allows easy cultivation of plants in sand and hydroponic medium and largely damage-free root harvest within several seconds for each plant. This method allowed us to harvest samples for a large microarray experiment as well as countless experiments for root transcript studies. Since the height of the box and the extend of the pipette tips is a limiting factor we suggest to use this system only for relatively small plants such as Arabidopsis or young stages of larger plants such as Brassica rapa or Brassica napus.
Tissue and blood collection v1
Authors: not provided michela.deleidi
Published: June 2023

This protocol details tissue collection from mice.
Experimental design v1
Authors: not provided michela.deleidi
Published: June 2023

The protocol details the experimental design.
Luminex-Based Multiplex Cytokine Analysis v1
Authors: not provided michela.deleidi
Published: June 2023

Multiplexed kit "Mouse High Sensitivity T Cell Magnetic Bead Panel" allows a Simultaneous analyze low levels of cytokine and chemokine biomarker with the High Sensitivity Bead-Based Multiplex Assays using the Luminex technology, in mouse serum, plasma and cell culture samples.
Comparative analysis of small size non-pneumatic tires and pneumatic tires - radial stiffness and hysteresis, selected parameters of the contact patch
Authors: Jackowski Jerzy , Żmuda Marcin , Wieczorek Marcin
Published: June 2023

Nowadays, non-pneumatic tires are becoming an increasingly likely alternative to pneumatic tires. The function of compressed air has been taken over by the belt and the elastic structure (materials used and shape of the components). The research presented in the paper was carried out in quasi-static conditions. The research's aim was to compare the radial stiffness, hysteresis and selected parameters of the contact patch of two non-pneumatic tires and four pneumatic tires used interchangeably in ATVs/UTVs. Analizowane opony niepneumatyczne charakteryzują się większą sztywnością radialną niż opony pneumatyczne tego samego rozmiaru. The analyzed non-pneumatic tire with a cellular structure has the highest hysteresis of the radial characteristics of the tested wheels and the highest values of the unit pressure in the area of contact patch. The paper also verified two methods of calculating the contact patch length of non-pneumatic tires.
Highly prospective objects of the mineral and raw material base of Ukraine. Part 1. Metallic minerals
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Mykhailov V.
Published: June 2023

A short description of the highly promising mineral and raw material base of metallic minerals of Ukraine is provided. It includes the following deposits and occurrences: complex carbonatite rare metal-apatite Novopoltavske deposit (REE, Nb, Ta, P2O5); complex zirconium-rare-earth-niobium Mazurivske (Oktyabrske) deposit (REE, Zr, Nb); complex rare earth-zirconium Azovske deposit (REE, Zr); Anadolske rare earth deposit (REE); rare earth occurrences Petrovo-Hnutivske (RZE) and Balka Korabelna (RZE); placer complex ilmenite-zirconium deposits Malyshevske (Ti, Zr) and Tarasivske (Ti, Zr); indigenous complex rare-earth-zirconium Yastrubetske deposit (REE, Zr); Shevchenkivske deposit of spodumene ores (Li); Polokhivske deposit of petalite ores (Li); Stankuvatske deposit of spodumene-petalite ores (Li); manifestation of Kruta Balka (Li); Zhovtorichenske complex iron-uranium-vanadium-scandium deposit (Sc, Fe, U, V); coal of the Donetsk basin (Ge). Among the metallic minerals of Ukraine, these deposits have the highest level of investment attractiveness, the lowest investment risks, are characterized by an average level of competition and can be recommended as priority objects for investment in their study and industrial development. To determine the investment prospects of specific objects, a preliminary geological and economic assessment of the feasibility and profitability of their industrial development is necessary.
Pharmacoeconomic analysis of antiretroviral therapy regimes in the Syrian Arab Republic
Authors: Gushchina Yu. Sh. , Abramov А. Yu. , Haitham Y. J.
Published: June 2023

Background. Due to the significant prevalence of human immunodeficiency virus (HIV) and limited funding in the Syrian Arab Republic (SAR), pharmacoeconomic study of antiretroviral therapy (ART) regimens is relevant, as it allows to choose a rational, pharmacoeconomically reasonable therapy for HIV-infected patients.

Objective: to perform pharmacoeconomic analysis of ART regimens HIV-infected in patients in SAR.

Material and methods. The following algorithm of actions was used: assessment of the cost of prescribed antiretroviral drugs; cost analysis of applied ART regimens. From the auction documentation, information was taken on the total number of purchased drugs and their cost at the end of the auction. To calculate prices in rubles, currency conversion was carried out as of January 1, 2021. To calculate the cost of an assigned regimen, the summation of the costs of its components was carried out. Based on the obtained data, the average cost of combinations of certain antiretroviral drugs classes was calculated. To predict the results of using various ART regimens for 5 years, discounting was used for each year of the time horizon, except for the first year.

Results. It was revealed that the most expensive drugs are the reserve series: Fuzeon® (enfuvirtide; F. Hoffmann-La Roche Ltd., Switzerland) – 66,492.1 rubles and Isentress® (raltegravir; Merck Sharp & Dohme, Netherlands) – 31,634.6 rubles, and the lowest price per package was noted for Russian drugs Timazid® (zidovudine) – 471.0 rubles and Nikavir® (phosphazide) – 743.8 rubles (both – AZT Pharma K.B. LLC, Russia). The average cost of the first prescribed regimen was 8,970.0 rubles/month, while the most expensive first-line regimens included a protease inhibitors class drug as the third component. As a result of the analysis of the cost of second-line and third-line regimens, it was revealed that the average cost of second-line therapy per month exceeded the average cost of first-line therapy by 4 times (40,154.2 rubles/month). The initial “azidothymidine, zidovudine / lamivudine + efavirenz” group had fewer hospitalizations, lower mortality, and fewer years of life expectancy lost than on “azidothymidine, zidovudine / lamivudine + atazanavir, ritonavir” and “phosphazide + didanosine + efavirenz” regimens.

Conclusion. A pharmacoepidemiological study showed that the cost of second-line therapy per month was 40,154.2 rubles, which exceeded the average cost of first-line therapy by 4 times (9,266.1 rubles). It was revealed that the average cost of the first prescribed ART regimen based on two nucleoside reverse transcriptase inhibitors (NRTIs) and protease inhibitor was 2 times higher than the average cost of regimens based on two NRTIs + non-nucleoside reverse transcriptase inhibitors, which, along with clinical aspects, raised the question of the expediency of their appointment as first-line regimens.
Development of a Mechatronic Prosthetic Limb with Sensory Feedback
Authors: Verma Deepak
Published: June 2023

The development of mechatronic prosthetic limbs with sensory feedback has gained significant attention in recent years due to its potential to improve the quality of life for individuals with limb loss. This research aims to address the limitations of conventional prosthetic limbs by integrating advanced mechatronic systems with sensory feedback mechanisms. The objective is to create a prosthetic limb that can closely replicate the functionality and sensory experience of a natural limb, enhancing the user's proprioception, dexterity, and overall user satisfaction.To achieve this goal, a multidisciplinary approach combining mechanical engineering, electronics, robotics, and neuroscience is employed. The proposed mechatronic prosthetic limb comprises several key components, including sensors, actuators, control systems, and feedback mechanisms. The sensors are strategically placed on the prosthetic limb to capture various environmental and limb-related data, such as temperature, pressure, and position. These sensory inputs are then processed by the control system, which interprets the data and generates appropriate commands for the actuators. The development of a mechatronic prosthetic limb with sensory feedback represents a promising avenue for advancing the field of prosthetics. By combining multidisciplinary approaches, innovative technologies, and user-cantered design, this research aims to bridge the gap between conventional prosthetic limbs and the functionality of natural limbs. The potential impact of this work extends beyond the field of prosthetics and can contribute to the overa
Exploring Human-Robot Interaction in Mechatronic Systems: Challenges and Opportunities
Authors: Negi Pankaj
Published: June 2023

Human-robot interaction (HRI) has emerged as a crucial research area in the field of mechatronic systems, offering significant potential for advancing technological capabilities and enhancing various domains of human life. This abstract explores the challenges and opportunities in the realm of HRI within mechatronic systems. It begins by providing an overview of the importance of HRI and its impact on the development of mechatronic systems. The abstract then delves into the challenges faced in achieving effective HRI, including issues related to perception, cognition, communication, and social interaction. Additionally, it discusses the significance of designing user-friendly interfaces and addressing ethical concerns associated with HRI. The abstract also highlights the opportunities and potential benefits that HRI offers, such as increased productivity, improved safety, enhanced human-robot collaboration, and the potential for personalization. Furthermore, it explores emerging technologies, such as artificial intelligence, machine learning, and augmented reality, which can enhance the quality of HRI in mechatronic systems. The abstract concludes by emphasizing the need for interdisciplinary research and collaboration to overcome the challenges and leverage the opportunities presented by HRI, ultimately shaping the future of mechatronic systems.
Design and Control of a Mechatronic Exoskeleton for Rehabilitation Purposes
Authors: Srivastava Neeraj
Published: June 2023

The field of rehabilitation engineering has witnessed significant advancements in recent years, with the development of mechatronic exoskeletons playing a crucial role in enhancing the rehabilitation process. This paper presents the design and control of a novel mechatronic exoskeleton specifically designed for rehabilitation purposes. The primary objective of this research is to provide a comprehensive framework that enables effective and safe assistance during the rehabilitation process.The design phase of the mechatronic exoskeleton focuses on achieving a balance between functionality, comfort, and ergonomics. Extensive biomechanical analysis was conducted to ensure compatibility between the exoskeleton and human anatomy. The exoskeleton's structural components were designed using lightweight and durable materials to optimize portability and minimize user fatigue. Additionally, the design incorporates adjustable joint mechanisms to accommodate a wide range of motion and to adapt to individual user requirements. The design and control of mechatronic exoskeletons for rehabilitation purposes hold great potential to revolutionize the field of physical therapy. These wearable robotic systems offer personalized assistance and targeted therapy to individuals with physical impairments, aiding in their recovery and improving their quality of life. Through careful consideration of comfort, ergonomics, actuation, sensing, control strategies, and safety measures, mechatronic exoskeletons can provide effective and safe rehabilitation solutions. Continued research, technological advancements, and collaboration between various disciplines will further enhance the capabilities and impact of these innovative devices in the future.
Novel Actuator Designs for High-Precision Mechatronic Systems
Authors: Dhiman Tarun Kumar
Published: June 2023

Mechatronic systems require high-precision actuators to achieve accurate and reliable control of mechanical movements. This abstract focuses on the development and implementation of novel actuator designs aimed at enhancing the performance of high-precision mechatronic systems. The objective is to address the limitations of existing actuator technologies and provide improved solutions for applications requiring precise positioning, fine manipulation, and rapid response. This abstract provides a comprehensive overview of the development and implementation of novel actuator designs for high-precision mechatronic systems. It emphasizes the limitations of conventional actuator technologies and explores the advantages offered by cutting-edge designs. By incorporating these innovative actuators, mechatronic systems can achieve enhanced precision, accuracy, and performance, enabling a wide range of applications in diverse fields. Future research and development efforts should focus on refining these novel actuator designs and addressing the remaining challenges to further advance high-precision mechatronics
Integration of Artificial Intelligence Techniques in Mechatronic Systems for Smart Manufacturing
Authors: Lila Manish Kumar
Published: June 2023

The integration of artificial intelligence (AI) techniques in mechatronic systems has emerged as a significant research area in the field of smart manufacturing. This paper presents a comprehensive overview of the various AI techniques that are being employed to enhance the capabilities and performance of mechatronic systems in the context of smart manufacturing. The aim is to explore how AI techniques can be effectively integrated into mechatronic systems to optimize production processes, improve product quality, and enable adaptive and intelligent manufacturing systems.The paper begins by discussing the fundamental concepts of mechatronic systems and their importance in smart manufacturing. Mechatronic systems combine mechanical, electrical, and computer engineering disciplines to design and develop intelligent systems with enhanced functionality and performance. The integration of AI techniques in mechatronics brings together the power of AI algorithms and control systems to create intelligent and autonomous systems capable of making real-time decisions and adaptations. The integration of AI techniques in mechatronic systems holds great potential for revolutionizing smart manufacturing. By leveraging machine learning, deep learning, expert systems, fuzzy logic, and genetic algorithms, mechatronic systems can achieve higher levels of intelligence, adaptability, and autonomy, leading to improved efficiency, productivity, and product quality in manufacturing processes. However, addressing the associated challenges and focusing on future research directions will be crucial in realizing the full potential of AI integration in mechatronic systems for smart manufacturing.
Design and Development of Mathematical Models for Human-Computer Interaction
Authors: Singh Sukhveer
Published: June 2023

Human-Computer Interaction (HCI) is a key factor in determining how easily and effectively computers can be used. Recent years have seen a substantial increase in interest in the design and development of mathematical models for HCI due to their potential to improve user experience and boost system performance. In-depth analysis of the creation and development of mathematical models for HCI is presented in this research work, with an emphasis on their uses, difficulties, and potential future approaches. The many mathematical modelling approaches used in HCI are discussed in the study, including statistical models, machine learning techniques, and cognitive models. It looks at their benefits and drawbacks and emphasises the significance of using user-centered design principles all the way through the modelling process. The paper also looks at case studies that show the practical application and assessment of mathematical models in real-world HCI Scenario. Finally, it highlights new directions for study and emerging trends in the area of mathematical models for HCI.
Application of Artificial Intelligence in Civil Engineering Projects
Authors: Kumar Mayank
Published: June 2023

The application of artificial intelligence (AI) in civil engineering projects has gained significant attention in recent years. AI techniques have the potential to revolutionize various aspects of civil engineering, including design, construction, maintenance, and management of infrastructure. This abstract provides an overview of the diverse applications of AI in civil engineering projects, highlighting the benefits, challenges, and future prospects of integrating AI technologies into the industry.One prominent application of AI in civil engineering is in the field of structural design and analysis. AI algorithms can analyse vast amounts of data, including historical structural performance records, and assist engineers in optimizing the design process. By leveraging AI, engineers can quickly evaluate multiple design alternatives, predict structural behaviour under different conditions, and identify potential failure modes. This enables the development of safer and more efficient structures while reducing design time and costs.AI also plays a crucial role in construction project management. By integrating AI with building information modelling (BIM) systems, project managers can enhance scheduling, resource allocation, and cost estimation. AI algorithms can analyse project data to identify patterns, predict potential delays, and optimize resource utilization. This facilitates improved project planning, reduces construction time, and enhances overall project efficiency.The application of artificial intelligence in civil engineering projects is transforming the industry by enhancing efficiency, accuracy, and sustainability. From design and planning to construction management and structural health monitoring, AI technologies are streamlining processes and improving decision-making. The integration of AI allows civil engineers to leverage vast amounts of data, make informed decisions, and optimize various aspects of projects.
Innovative Use of Self-Healing Concrete for Sustainable Infrastructure
Authors: Nainwal Ankit
Published: June 2023

Self-healing concrete has emerged as a promising technology in the field of sustainable infrastructure due to its ability to repair cracks and prolong the lifespan of structures. This innovative material has the potential to revolutionize the construction industry by reducing maintenance costs, minimizing environmental impact, and enhancing the durability of infrastructure. In this abstract, we explore the concept of self-healing concrete, its mechanisms, and its application in creating sustainable infrastructure. The concept of self-healing concrete involves the incorporation of various healing agents within the concrete matrix, which are activated upon the occurrence of cracks or damage. These healing agents can be in the form of capsules, fibres, or other admixtures. When cracks occur, these agents are released and react with the surrounding environment to initiate the healing process. The healing agents can fill the cracks, restore the structural integrity, and prevent further deterioration, thus extending the service life of the infrastructure. The innovative use of self-healing concrete presents significant opportunities for sustainable infrastructure development. By incorporating healing agents, this technology enables autonomous repair of cracks, reduces maintenance costs, and extends the lifespan of structures. Furthermore, self-healing concrete contributes to sustainability by minimizing environmental impact and enhancing durability. Its wide-ranging applications make it a promising solution for creating resilient infrastructure that meets the challenges of the future. Embracing self-healing concrete in construction practices will undoubtedly revolutionize the industry and pave the way for a more sustainable built environment.
Optimization of Traffic Flow Using Intelligent Transportation Systems
Authors: Sen Partho
Published: June 2023

The optimization of traffic flow has become an imperative issue in modern cities due to the increasing number of vehicles on the roads and the resulting congestion problems. Intelligent Transportation Systems (ITS) have emerged as a promising solution to alleviate traffic congestion and improve overall transportation efficiency. This study focuses on the optimization of traffic flow using ITS, aiming to enhance the mobility, safety, and sustainability of urban transportation networks.The research begins by investigating the key challenges associated with traffic flow optimization and the role of ITS in addressing these challenges. Various components of ITS, including advanced sensing technologies, communication networks, data analytics, and control strategies, are explored in detail to understand their contributions to traffic optimization. Moreover, the study analyzes the potential benefits of employing ITS, such as reduced travel times, improved fuel efficiency, and enhanced safety.
Phishing Website Detection using Machine Learning Techniques
Authors: Bhandari Bina
Published: June 2023

Phishing refers to the fraudulent attempt to obtain sensitive information such as a user's username and password, as well as details about a checking account or credit card, for the purpose of using that information for malevolent purposes. It's possible that phishing scams are the most common form of cybercrime utilised today. Phishing attacks can be launched against victims in a variety of contexts, including the online payment industry, webmail, financial institutions, file hosting or cloud storage, and many more. Phishing may be detected quite effectively through the use of machine learning. Additionally, it eliminates the problem that was caused by the prior method. This study focuses on the application of machine learning technology to the problem of identifying phishing URLs. Specifically, it extracts and compares numerous characteristics of real and fraudulent URLs. By utilising the Support Vector Machine technique as well as the Random Forest technique, the project intends to identify URLs that lead to phishing websites.
Deep Learning for Steering Angle Prediction in Autonomous Vehicles
Authors: Mishra Amit Kumar
Published: June 2023

The fields of computer vision, image processing, and deep learning have seen exponential growth and advancement in recent years thanks to advances in technology. This renaissance has recently established itself as the dominant force in the field of automation. The ideas of image processing are easily applicable to the driving of automobiles, where the increasing sophistication of technology may one day make human drivers obsolete. However, the steering angle of a vehicle is the single most crucial component that comes into play when it comes to automation because this is what determines how the vehicle will take the curve. Automotive vehicles (AVs) have begun to take the steering angle prediction into consideration, and a large number of automotive businesses, like Tesla and Udacity, have also invested in the technology. Despite this, a significant number of researchers and insurance firms have shown interest in investing in this field. It has been determined that deep learning architectures are the most appropriate fundamentals that can be utilized in a situation like this one. As a result, this thesis suggests employing DL in order to anticipate the steering angle of autonomous vehicles. Image processing and CNN are the two components that make up the implementation, which is carried out in two separate modules. A collection of images are taken by the cameras that are mounted, and a steering angle is computed for each point along the path that the vehicle travels, taking into account the speed at which the vehicle is traveling as well as the amount of pressure that is being applied to the brake pedal. Image processing, which makes use of photos for the purpose of training, and data augmentation, which resizes the images, are both included in the first step of the execution process. The processed image that was obtained from the first phase is given as the input to the subsequent phase, and a predicted steering angle is generated as the output of this phase. The subsequent phase involves the use of CNN ideas.
Survey on Big data analytics for educational sector: Abiding challenges and contributions
Authors: Garg Umang
Published: June 2023

Due to technology advancements, the education sector has undergone major changes, particularly with the adoption of e-learning platforms and web services for student interactions. As a result, as many people log into these programmes, a large amount of data is being generated. Most academic institutions, however, have not yet completely tapped into this data, frequently merely handling the information connected to user queries while ignoring the crucial web behavioural inputs. This research attempts to provide a paradigm for using big data technologies to improve teaching and learning in educational institutions in order to address this issue.The document has three distinct goals. To begin with, list the advantages of big data technology in education, emphasising the potential gains for educational institutions. Second, to outline several big data applications in education and show how they might be applied to enhance educational procedures and results. The paper's final goal is to present specialised big data models that are designed for the educational system and provide a useful implementation framework.The research uses both survey and modelling methodologies to accomplish these goals. The survey's component uses review papers to describe the advantages and uses of big data in education while drawing conclusions from the body of existing research. The modelling approach, on the other hand, uses the Unified Modelling Language (UML) to offer a descriptive framework for comprehending the connections between little data and big data in the educational system. Big data covers the full learning process, including both students and teachers, while small data concentrates on conventional input about student performance alone.
Machine Learning Based Image Recognition Technology
Authors: Sivaraman Himani
Published: June 2023

After decades of machine literacy research, image recognition, position discovery, image bracket, image product, audio recognition, natural language processing, and others remain unsolved. Deep literacy's most fundamental study direction is image categorization. concurrently, intelligent computer picture technology allows progressive enhancement in response to transnational links and the development and progress of multiple disciplines. Therefore, machine literacy-based technology for image processing is popular in a variety of industries and is utilised extensively in point image, bracket, segmentation, and recognition. The complexity of VHS filmland and the placement of items over colourful operation backgrounds make bracket delicacy noteworthy and sensitive. The paper transportation assiduity uses image recognition technology to recognise licence plates from complex backgrounds, honour licence plate characters, and create a machine learning non-license plate automatic generation algorithm to improve non-license plate recognition. Diverse and fast-created licence plate training sample sets teach powerful classifiers. A method that optimises a BP neural network to categorise licence plates improves anti-interference and identification delicacy
Big Data with Cloud Computing: Discussions and Challenges
Authors: Chamoli Sushant
Published: June 2023

Big Data and cloud computing integration has become a formidable strategy for businesses to unlock the potential of enormous and complicated data sets. With the scalability, flexibility, and cost-effectiveness that this combination provides, businesses are able to handle and analyse massive amounts of data in a distributed, as-needed way. But there are also issues and restrictions that need to be resolved with this integration. This overview of the literature focuses on the issues, difficulties, and potential applications of big data and cloud computing. It offers information on the advantages of this integration, such as improved data processing capabilities, increased scalability, and cost reduction. The difficulties with data migration, security, privacy, data governance, talent needs, vendor lock-in, and compliance are all discussed. Future research areas are also highlighted, such as enhanced analytics methods, edge computing integration, privacy-preserving data analysis, hybrid cloud architectures, data governance, real-time decision-making, and applications specialised to particular industries. Organisations can maximise the potential of Big Data with cloud computing and generate priceless insights to fuel innovation and informed decision-making by comprehending, tackling, and investigating these difficulties.
Time Series Model to Forecast the Pricing of Dairy Products
Authors: Rana Samir
Published: June 2023

Seasonal patterns and patterns of food production are linked with each other, which contributes to have a significant impact on the economy of a country. Seasons and food production patterns are linked with each other. Because of this, it is of the utmost importance to establish projections about the production of food patterns that are sensitive to variations in the climate, which will ultimately result in satisfied customers and successful production. Because of this, it is vital to establish trustworthy techniques of dairy production forecasting in order to prevent a shortage of dairy production in an industry. As a result, the purpose of this study is to construct a model that is capable of reliably predicting the price of dairy products in relation to changes in the climate. In the course of the research for the thesis, Ireland will serve as the case study, and a mix of time series and machine learning models will be utilized in order to make price predictions. A time series of data relating to dairy production from the year 1990 to 2019 is extracted and utilized as a data source for dairy products. This data source will be used until the year 2019. The work that was actually done for the proposed paper makes use of the entire dataset for training purposes and makes use of the pricing list for the previous year for the testing phase. These are then utilized as variables in order to assess product yields as well as product losses. The implementation, on the other hand, is based on the principles of time series as well as four machine learning algorithms, specifically ARIMA, ARIMA Garch, SEM, and SARIMA. In compared to the results of other models, it was shown that the SARIMA model produced superior results. In addition, the findings were computed on the basis of an assessment matrix that took into account the root mean square error.
Survey On M-Commerce
Authors: Dubey Bhanu Prakash
Published: June 2023

The expansion that is worldwide of has led to the number of evolving technologies. The bone which is most popular is m- commerce it's also called as mobilee- commerce. Now-a-days mobile deals are adding most swiftly due to enabling of the internet banking services and online payment results etc. So, for all these services that are m- commerce has to connect to the internet. But whenever we are dealing with the internet security becomes main concern. And also all deals are performed over the internet enabled bias that are mobile. Because of this security in m- commerce now come more important than the traditionale- commerce system security. This paper deals with the mobile payment system, security issues and enterprises in m- commerce, some secure trade ways and results and ultimately case study one paytm operation that is m- commerce.
MEASUREMENT OF SUSTAINABLE DEVELOPMENT IN LATVIA
Authors: Bulis Aldis , Onževs Oskars
Published: June 2023

Current paradigm of economic development is sustainable development. Sustainable development is the challenge for governments, companies and households because significant additional investments and innovations, changes in production and consumption habits are required. These changes have to be made because resources are limited and existence of our world is endangered – too much resources are used and too much waste is generated by people.  This problem is recognized by the United Nations that set 17 Goals of Sustainable Development in 2015. Review of scientific literature indicates that countries measure their sustainable development in different ways because countries have different development levels, as well as different social, economic and environmental problems. Thus the aim of this research is to identify Latvian approach measuring sustainable development and assess sustainable development in Latvia. Sustainable development in Latvia is measured by indicators defined in Sustainable Development Strategy in Latvia until 2030. The methods applied in this study are literature review and regression analysis. This study reveals Latvian progress in sustainable development and relationship among strategic indicators of sustainable development in Latvia.
THE DISTRIBUTION OF CASH EXPENSES FOR THE CREATION OF BIOENERGY WILLOW PLANTATIONS IN UKRAINE
Authors: Ivanyshyn Volodymyr , Yermakov Serhii , Bialkovska Oksana , Rud Anatolii , Vusatyi Mykola
Published: June 2023

The economic cost analysis of creating energy willow plantations in Ukraine is provided in the present paper. The experience of creating bioenergy willow plantations at scientific and industrial institutions in Ukraine has been used in the paper. The purpose of this scientific work is to conduct an analysis of the structure of cash expenses for the creation of bioenergy willow plantations based on the experience of various institutions of Ukraine. The analysis is based on a technological map created during the study on drained peat lands at Panfyly Research Station. Analyzing the cost structure by category, the data obtained during the creation of bioenergy willow plantations of Salix Energy LLC and the Institute of Bioenergy Crops and Sugar Beet were also taken into account. After analyzing all the technology stages of growing bioenergy willow, it was revealed that the most expensive is the second stage associated with the preparation for planting and planting willow cuttings in the context of the pricing policy in Ukraine. In general, more than 60% of all expenses fall upon the first year of cultivation. According to the experience of Ukrainian institutions, the cost structure will have a significant shift towards planting material - 55-60%. The remaining costs are distributed during the use of equipment in the field, which constitute 26-30% and transportation costs respectively are 12-19%.
INFLUENCE OF METEOROLOGICAL ELEMENTS IN ACCIDENTS IN ENTERPRISES WITH RADIOACTIVE ELEMENTS OR DANGEROUS CHEMICAL SUBSTANCES IN BULGARIA
Authors: Dolchinkov Nikolay Todorov , Pavlov Mihael Petkov
Published: June 2023

In the analysis of the meteorological elements that influence the spread of radioactive particles, radioactive isotopes and dangerous chemical substances on the territory of Bulgaria, the winds and air currents that form in the airspace over Bulgaria are considered. These are the main meteorological elements that most strongly influence the change in the radioactive background. Another element that has an impact is precipitation in its various manifestations - horizontal and vertical in appearance and depending on the aggregate state of the water. Due to their negligible influence on the radiation environment, we will exclude the remaining meteorological elements from the factors forming the natural indicators of the state of the atmosphere, water and soil. Their influence in areas where there are located large enterprises working with such substances is presented.The report examines the influence of the main factor - the movement of air masses at different altitudes in the atmosphere in the Ludogorie region and the Danube River as an area where NPPs are located in Bulgaria and Romania and which, in the event of an accident, would cause the greatest consequences. The winds in 3 cities from this region, which are located near these enterprises, are described and the corresponding analysis is made.
EMPLOYER REPUTATION BUILDING – A MANAGERIAL CHALLENGE IN HR MARKETING
Authors: Busa Ilze , Rutitis Didzis
Published: June 2023

Recruitment of desired employees in Latvia becomes increasingly challenging. Besides negative demography signals, competition between employers for talent is part of the tight job market. All of this and more is challenging for the businesses to effectively attract employees. Employer branding and recruitment marketing are widely known approaches used by businesses to fulfil their needs and speed up application quantities as well as promote employer attractiveness. Nevertheless, there is a lack of research discussing what effects external HR marketing brings to the labour market. The main task of this study is to analyse the recruitment marketing impact and determine how should recruitment marketing be evaluated. To achieve the goal, a literature review was performed and quantitative data from a survey were collected. The review of existing literature reflects the main factors that should be considered when evaluating recruitment. Additionally, attitudes shared by job seekers regarding recruitment marketing and expectations from employers were collected. The results of the survey showed that the recruitment marketing message can cause bias and encourages individuals to make biased decisions. This research provides a base for future studies by raising several questions – e.g., if the impact of recruitment marketing rises efficiency in the long term and if biases could be beneficial from a brand and an employee perspective, or they become less beneficial. Additionally, no research has considered whether the bias is increasing recruitment sustainability. Further research should be done to understand in what cases employer brand does not bring value to organizational image.