bluuebunny/crossref_metadata_2025 huggingface dataset:
The development of cultural event strategy: Swot analysis and QSPM approach
Authors: Perdana Muhamad Ari , Rusmawan Putu Ngurah , Tyas Inno Cahyaning , Febrian Ayu Wanda
Published: September 2023

n order to support the Banyuwangi Rebound Movement, Pondoknongko Village Government has launched an Economic and Tourism Improvement Program in 2022 through the Pondoknongko Festival Event. The purpose of this research is to: find out the management of the Pondoknongko Festival event; identify potential cultural tourism attractions; identify internal and external factors for the development of cultural tourism events; and determine the priority order of alternative strategies for developing cultural tourism events in Pondoknongko Village. This study used a descriptive research method with a mixed-method approach, exploratory sequential design model. The analysis technique used is Internal External (IE) Matrix, Strengths, Weaknesses, Opportunities, Threats (SWOT) Matrix, and Quantitative Strategic Planning Matrix (QSPM). The results showed that the Pondoknongko Festival Event Management had been well implemented starting from the research stage, design, planning, coordination, to the evaluation stage; Pondoknongko Village has a variety of potential cultural tourism attractions that can be developed and packaged as cultural tourism event activities; the position of the development of cultural tourism events is in cell IV grow and build and 10 alternative strategies have been formulated with a priority strategy that can be applied is to arrange tour packages that are integrated with cultural tourism events in Pondoknongko Village.
CLOTHING FASHION IMAGE GENERATION FROM TEXT USING ARTIFICIAL INTELLIGENCE
Authors: Shaheen Aqsa , Iqbal Dr. Javed ,   University of Engineering and Technology
Published: September 2023

Development of dynamic, intensely engaging, and fascinating images has greatly benefited from the recent exponential advancements in image synthesis techniques. The architecture proposed in this research allows users to enter text regarding a particular dress, and the model then create images of fashionable apparel based on that content. The model suggested can let people become their own fashion designers by utilizing the strength of Deep Learning and Artificial intelligence to create a variety of fashionable outfits for themselves. DALL-E model is utilized to engender realistic images based on text description. DALL-E is an artificial intelligence model that generates realistic images from a description in natural language. While there are alternative text-to-image systems, the DALL-E produces far more coherent visuals. The world and the relationships between objects appear to be well understood by this technology. DALL-E uses GPT-3 model and dataset of textimage pairs for image synthesis. Image is encoded into size of 32×32 grid using VQ-VAE. Then image and text are combined together in the form of single stream for training of DALL-E. Deep Fashion dataset is used for training of DALL-E, which is simply more realistic dataset and contains High definition images that further enable accurate generation. After training DALL-E produce more accurate results and provides higher inception score than preceding models.
DEPRESSION DETECTION MODEL USINGWORD AND SENTENCE EMBEDDING WITH DIFFERENT CLASSIFIERS
Authors: Rai KM Ankita , Goyal Riya , Choudhary Monika ,   Indira Gandhi Delhi Technical University for Women
Published: September 2023

Determining depression is hugely important because it affects people's wellness. The common practice of diagnosing depression usually involves a physical session with a practitioner, which reduces the possibility of finding patients who are depressed. Instead, they investigate the possibility of detecting depression solely from textual data based on the posts people post on social media profiles. This research work consists of how Reddit users' text messages can be processed to perform a classification task to identify depression. In order to detect depression, we used Word and Sentence Embeddings. Different embeddings are tested with algorithms such as SVM classifiers, KNN classifiers, and decision tree classifiers, and the results are compared to those from various datasets. Evaluation metrics such as accuracy and precision are used to evaluate the performance of classifiers. USE embedding outperformed Word embeddings with a maximum accuracy of 92%, precision of 95%, recall of 96%, and F1 score of 92%. Results from the suggested method are compared to those from other methods and are found to be satisfactory.
PRODUCT TRACKING AND FAKE PRODUCT IDENTIFICATION USING BLOCKCHAIN
Authors: Ahmed Addewala Arbaz , Narbariya Aniket , Rai Satyam , Dholay Prof. Surekh ,   Sardar Patel Institute of Technology
Published: September 2023

Product Tracking refers to the process through which a product or a commercial item can be traced or located with respect to its time, location, owner and other substantial information. In a supply chain system, the products in that chain should remain tamper-proof to ensure that a fake or unwanted product is not delivered to the end-users. The aim of the product tracking and fake product identifier is to ensure that the well being of all the products in the supply chain is maintained as well as to ensure that the useful information like timestamps and past location of a given product is accessible to every participant of the supply chain which includes distributors, retailers, manufacturers etc.
MACHINE LEARNING BASED FAULTY BEARING DIAGNOSIS IN CNC MACHINE
Authors: Iqbal Mohmad , Madan AK ,   Delhi Technological University
Published: September 2023

The prediction of faulty bearing in rotating machineries like CNC machine, induction motor, wind turbine etc. is very important. Bearings are essential parts of such machines and mechanical systems to reduce friction between moving parts and to support the weight of rotating machineries. The noise produced by the machine can make it difficult to detect a fault or diagnose a problem. This is because the noise can mask or obscure the signal that would indicate a fault. To overcome this challenge, researchers may need to use advanced signal processing techniques to separate the signal of interest from the background noise. In this proposed work the vibration signal responses of CNC machine bearing was studied during faulty and normal bearing conditions. Early faulty bearing diagnosis was made using Support Vector Machines (SVM) to identify whether a bearing is faulty or not, what type of fault it has (inner race, outer race, or rolling element fault). This model is effective when there is a clear boundary between the classes by finding a hyper plane that separates the data into different classes. To decompose the signal Fourier transform is used to analyze signals in the frequency domain. It decomposes a signal into its constituent frequencies. Once the model is trained and tested, we can visualize the accuracy, precision, recall, and F1 score using confusion matrix to show how many normal and faulty behavior instances were correctly or incorrectly classified by the model.
MOOD PLAYER: EMOTION BASED MUSICRECOMMENDATION SYSTEM
Authors: Ahmad Kaif , Prashar Aditi , Aggarwal Jitesh , Tripathi Pratham , Maniktalia Riddhi ,   Vellore Institute of Technology
Published: September 2023

Music can create, change and lighten one’s mood, and when technologies of artificial intelligence meet with music it can be a great combination. Selecting appropriate songs according to our emotion from such a wide range is a very tedious and timeconsuming task. It takes a lot of time and effort to manually group songs on a playlist and annotate them according to the user’s emotional condition at the moment. To automate this process, many algorithms have been proposed. However, the current algorithms are inefficient, use more hardware, which raises the system’s overall cost, and are less accurate. This paper aims at recognition of human facial expressions through a model based on 68 landmarks approach of the training dataset, further selecting the appropriate playlist for the user. The Emotion Based Music Recommendation System has the potential to enhance the music listening experience by providing users with music that not only matches their preferences but also their emotional state, thereby increasinguser engagement and satisfaction.
IWEEWS: AN INTELLIGENT WASTE EXTRACTOR FOR EFFICIENT WASTE SEGREGATION BY USING DEEP LEARNING TECHNIQUE
Authors: Bobde M Yash , Jothi B , Sharma Akshat ,   SRM Institute of Science and Technology
Published: September 2023

Waste segregation is a top priority in many countries across the world. Even in this day and age, many individuals are unable to discern between biodegradable, recyclable, and landfill waste. As a result, the world is currently dealing with a serious basic issue with garbage disposal. In this study, we use deep learning algorithms to handle the trash categorization problem. Organic waste, recyclable rubbish, and landfill garbage are the three major types of waste. A way to speed up the whole process is by doing waste sorting, which could be done by computer using image recognition. CNNs have gradually been used in a number of intelligent trash identification and recycling applications during the past few years (IWIR). Nevertheless, because there aren't any established standards or benchmarks for the datasets and models being utilised, current studies on IWIR are difficult to summarise because CNNs are still relatively new to environmental researchers.EfficientNet-B3 CV model which could be utilized in this scenario due to the more efficient architecture and comparable performance with others deep convolutional neural network. Deep learning has now made it possible to overcome one of the biggest obstacles to effective waste management and hence, this issue can be handled with utmost care.
VEHICLE DETECTION AND TRACKING SYSTEM
Authors: Lohani Abhay , Tyagi Yash , Jindal Anubhav , Yadav Veerendra ,   HMRITM
Published: September 2023

The primary objective of this research is to design and implement an automated system for detecting vehicles from video footage, and estimating their speeds without the use of sensors. Object detection is a challenging task in computer vision that involves identifying and locating objects within an image or video. The proposed system begins by capturing the initial frame through a webcam, which serves as the reference frame. The system then calculates the phase difference between the reference frame and subsequent frames to detect movement. This refined frame is referred to as the threshold frame. Through the use of advanced image processing techniques such as shadow removal, dilation, and contouring, larger objects are identified within the threshold frame. This project also involves estimating the speed of vehicles using image processing techniques.
EMOTİON RECOGNİTİON USİNG EXPLİCİT FEATURE EXTRACTİON METHOD
Authors: Madhav Govind , Rais Faisal ,   HMRITM
Published: September 2023

Emotions are conveyed every single second, and understanding what they typically represent is crucial in practically every industry. People's ability to accurately recognise emotions varies greatly, making technology utilized for the purpose a relatively new subject of research. We attempted to work on extracting significant features from the image datasets and feeding those characteristics to a CNN in this study to aid the emotion detection for the CKplus and JAFFE dataset. The two separate extraction techniques employed are the Gabor filter and SIFT. The extraction techniques assist in identifying the main attributes that contain a profusion of visual data.The experimental investigation demonstrates that the gabor filter paired with CNN outperforms the state-of-the-art performance using the CKplus dataset, with an overall accuracy of 98.12.
A SURVEY ON ANOMALOUS MOTION DETECTION IN VIDEO DATA
Authors:   GGSIPU, Sharma Preeti , Gangadharappa M ,   NSUT (East Campus)
Published: September 2023

The amount of data that has to be processed increases along with the demand for labor to understand the data due to substantial reduction in the cost of transmitting and storing video data. An important component of a video surveillance system is anomaly detection. Because manually analyzing and monitoring such a big amount of video would be impossible. For automated video analysis to determine typical and aberrant vehicle motion behavior for traffic management, public services, and law enforcement, automatic tracking is a crucial necessity. Even though a few anomaly detection techniques have been proposed in the past, there are still a limited number of them that can handle illumination variations, smaller object detection and tracking in poses that change, learning the movement of heterogeneous objects, anomalies in sparse and dense conditions, and tracking under occlusion that the human eye can easily detect. This survey study provides an overview of numerous techniques that have been employed to find anomalies in diverse applications.
ANALYSIS OF WEAPON AND FIRE DETECTION ON DIFFERENT DATASETS IN ATMs
Authors: Vajpayee Aditya , M Dhinakaran , Toamar Aditya , Singh Arpit , Khan Afzal ,   Galgotias College of Engineering and Technology
Published: September 2023

The special area of real-time objects moving according to monitoring methods is one of the soughtafter reasons for CNNs. This review work is pushed into the field of shooting firearms and pistols in areas covered by cameras. Domestic fire incidents, current impacts and fast-spreading fires are major problems with negative environmental impacts. Gun cruelty and mass shootings are also on the rise in obvious places on the planet. Such events are time-consuming and can be a monstrous test of life and property. The proposed work has now generated a meaningful learning model that enables the YOLOv3 computation to process video images by tuning to rationallyperceive those peculiarities and alert the experts. related. The latest model has an approval deficit of 0.2864, with a rendering rate of 45 edges per second, and has been compared with datasets such as IMFDB, UGR, and Fire Net with an accuracy of 90.3%, 83.6% and 85.5% independently.
ADVANCING MEDICAL DEVICE MANUFACTURING: THE CONVERGENCE OF EDGE COMPUTING AND INDUSTRY 5.0
Authors:   LTIMIndtree Limited, kumar Dave Deep Manish
Published: September 2023

The integration of edge computing and Industry 5.0 has the potential to revolutionize medical device manufacturing, enhancing the effectiveness, functionality, and safety of medical devices. This research article explores the opportunities and challenges associated with this convergence in the medical device sector. The paper highlights how edge computing enables real-time data processing and analysis at the production site, leading to enhanced real-time monitoring, diagnostics, and predictive maintenance for medical devices. Additionally, Industry 5.0 principles promote human-robot collaboration, personalized healthcare, and intelligent decision-making through data analytics and AI. The paper also addresses the challenges of cybersecurity, privacy concerns, scalability, network infrastructure, and interoperability issues in the implementation of edge computing and Industry 5.0. The article emphasizes the importance of standardized communication protocols and data formats to ensure seamless interoperability. Lastly, it outlines potential areas of research and development, such as realtime analytics, cybersecurity, and human-robot collaboration, to further enhance the integration of edge computing and Industry 5.0 in medical device manufacturing. Researchers, manufacturers, and policymakers stand to benefit from a comprehensive understanding of the opportunities and challenges, enabling the development of strategies to drive positive industry-wide outcomes in medical device manufacturing.
OCCUPATIONAL AIR POLLUTION INDEX (API) ASSESSMENT AND MEASURED ATMOSPHERIC VARIABLES AT SELECTED CONSTRUCTION SITES
Authors:   Ignatius Ajuru University of Education, James. J Robert
Published: September 2023

This study considered occupational air pollution index (API) and the effects of meteorological variables for two seasons at selected construction sites in the cities of Owerri and Port-Harcourt. Suspended microscopic particles of the size range 2.5µm and 10 µm generated at the construction sites were collected on filter papers and their concentrations were determined on a monthly basis for 2 seasons (wet and dry seasons). The results showed that air pollution of the selected construction sites were relatively poor. The highest API values recorded during the study for PM2.5 and PM10 at Owerri construction site were 314 and 155, while that of Port-Harcourt were 216 and 106 respectively. Comparing the values of API between Owerri and PortHarcourt construction sites for the period under study, air pollution index at Owerri construction site was higher than that of Port-Harcourt. This difference in API could be attributed to the volume of work and meteorological conditions of the selected construction sites. Occupational exposure to poor air quality has been identified as the cause of increased ischemic heart disease, respiratory problems, and even death among construction workers and workers in other industries, hence the need to ensure air quality monitoring and improvement in our environment and industries.
Prospects for the implementation of unconditional basic income in Ukraine (part 2)
Authors:   SESE “The Academy of Financial Management”, GASANOV Sergii , LEVIN Volodymyr ,   SESE “The Academy of Financial Management”
Published: September 2023

The article reveals the role of unconditional basic income (UBI) as an innovative tool for the development of the national economy. Based on the analysis of scientific works of domestic and foreign scientists, its advantages and disadvantages are determined. According to its supporters, the advantages of UBI include: transparency, efficiency, poverty reduction, positive impact on economic growth. Among the shortcomings, the following can be distinguished: high cost, probable loss of motivation by citizens to work, impossibility to eliminate the fundamental causes of inequality with the help of UBI. Examples of the implementation of UBI in developed, developing countries, and countries with emerging markets are given. The current socio-economic situation in Ukraine is characterized, taking into account the influence of endogenous and exogenous negative factors, the consequences of the full-scale Russian invasion, in particular the loss of territories with significant deposits of natural resources and powerful industrial potential, mass migration of the population, etc. Our state is currently unable to use its powerful economic potential. An analysis of the expenditures of the State Budget of Ukraine for 2023 on social protection and pension provision of the population was carried out. It is proposed to introduce the UBI in Ukraine as a reliable tool of social protection with the use of international aid funds (during martial law) and rent payments as sources of its payment. It is concluded that the payment of UBI will increase the level of trust in the state and reduce corruption, as citizens will have less need to receive additional income outside the tax system and state support programs.
Evolution of the role of state banks in the economy
Authors:   SESE “The Academy of Financial Management”, LYUBICH Oleksandr , OLIINYK Dmytro ,   SESE “The Academy of Financial Management”, SVISTUN Andriy
Published: September 2023

The aggravation of global challenges of economic instability, climate change and local physical destruction of infrastructure as a result of war and man-made disasters leads to a review of assessments regarding the expediency of the existence of banks with state participation. The successful experience of using them to solve large socio-economic projects in a number of countries encourages this. Based on a theoretical generalization of the methodological recommendations of scientists and specialists of international institutions and a comparative analysis of current foreign experience, the article presents a scientific rationale for the feasibility of preserving the state share in the capital of leading banking institutions in Ukraine to ensure the stability of the economy during the war and post-war recovery. It was determined that the key directions of solving these tasks with the participation of state banks should be the preservation of the financial market stability, the support of solvent demand and the solvency of small enterprises, and the implementation of large infrastructure projects. At the same time, it was noted that a significant risk of an excessive share of the state in the banking market is the restriction of competition and the deterioration of the quality of services. Due to existing preferences, state banks are prone to violating the laws of market competition. At the same time, acting not according to the laws of the market, but in line with the government’s socially oriented policy, state banks limit the self-regulatory function of the market, which determines their transitional status. The general conclusion states that at certain stages of economic cycles, banks with state participation are a necessary tool that ensures the achievement of macroeconomic goals, infrastructure reconstruction, financing of priority sectors of the economy and, thereby, increasing the country’s competitiveness on the international market. In the presence of such tasks, banks with state participation take on the role of temporarily leading institutions of the development of the transitional stage.
Impact of investments on the sustainability of the energy sector of Ukraine
Authors:   SESE “The Academy of Financial Management”, IVANYTSKYI Maksym
Published: September 2023

Introduction. The importance of the article is determined by the need to increase the stability of the energy sector of Ukraine, the search for energy projects, the implementation of which will contribute to increasing the stability of the entire domestic energy sector. Problem Statement. In Ukraine, the energy sector is of particular importance. He ensured the vital activity of all branches of the national economy, and also made a decisive contribution to the formation of the main financial and economic indicators of the state. It is common knowledge that the stability of the energy sector, which was disrupted by hostilities initiated on the territory of the country, is one of the main elements of Ukraine's national security, which forces us to look for ways to restore it. Methods. General and special methods are used: analysis, synthesis, grouping, description, comparison, theoretical generalization, and abstract-logical. Results. It has been established that increasing the stability of the energy sector of Ukraine thanks to investments has several specific directions: investments aimed at the repair and restoration of damaged energy facilities, such as power plants, transformer substations and electricity transmission networks, contribute to the restoration of energy supply in territories affected by military actions , and ensure the provision of vital services for the population; investments to modernize and strengthen energy infrastructure, including power plants, substations and power transmission networks. The following energy projects have been identified, the implementation of which will contribute to increasing the sustainability of the entire domestic energy sector: independent energy projects created to increase the generating capacity of local energy systems; projects in transmission networks; projects in the distribution network; autonomous projects; investment in technology. Conclusions. It was concluded that, based on the current situation, in the coming years the country will either have to increase the import of energy (energy carriers), or significantly increase their generation (production), or abandon plans for economic growth and GDP growth.
The concept of financial ensuring the sustainable development of agricultural enterprises in the context of the recovery plan of Ukraine “New Agrarian Policy”
Authors:   European University of Kyiv, CHYHRYNETS Serhii
Published: September 2023

The article examines the economic essence and features of financial support for the sustainable development of agricultural enterprises in the conditions of martial law and provides recommendations for improving their development in the conditions of post-war recovery. The author carried out a SWOT analysis (analysis of strengths and weaknesses, opportunities and threats) of agricultural enterprises of Ukraine. The key challenges, opportunities and limitations for agricultural enterprises in the context of the Recovery Plan of Ukraine “New Agrarian Policy” were systematized and researched. The article analyzes financial support in the context of attracting international and state aid by agricultural enterprises in 2022-2023. The concept of financial support for the sustainable development of agricultural enterprises in the context of the recovery plan of Ukraine “New Agrarian Policy” is studied, its purpose, principles, tasks, stages of implementation are presented as well as information base, methods and forms of financial support for agricultural enterprises, sources of financial support for agricultural enterprises, etc. The author emphasized the need to adopt a number of draft laws regarding the improvement of financial support for the sustainable development of agricultural enterprises in the context of the recovery plan of Ukraine “New Agrarian Policy”, in particular such as the Law of Ukraine “On Amendments to the Law of Ukraine “On State Support of Agriculture in Ukraine”; Law of Ukraine “On Amendments to the Law of Ukraine “On State Portfolio Guarantees”; Draft Law of Ukraine “On Amendments to Certain Legislative Acts of Ukraine on Improving the Efficiency of Use of Agricultural Land by Subjects of the State Sector of the Economy”, etc.
Reverse logistics in the logistics management system: impact on the formation of enterprise competitiveness
Authors:   Kyiv National Economic University named after Vadym Hetman, KRYVESHCHENKO Viktoriia , KHMURKOVSKYI Hennadii ,   Kyiv National Economic University named after Vadym Hetman, LIADENKO Tetiana ,   Kyiv National Economic University named after Vadym Hetman
Published: September 2023

In the context of the evolutionary development of the concept of logistics in the enterprise management system, the problem is the incompleteness of the theoretical foundations of logistics activities of enterprises. The terminology of logistics management, description of synergistic relationships between logistics and other activities at an enterprise, assessment of the impact of such relationships on the competitiveness of an enterprise, and study of logistics reserves for increasing the competitiveness of an enterprise (which also include reverse logistics) need to be clarified. In this article, the authors, using a value-based approach, aim to clarify the role of logistics management in the process of forming the competitiveness of an enterprise, and, consequently, in the process of managing the latter. Again, based on the value-oriented approach, the article describes the place of reverse logistics in the structure of logistics management; the principles and advantages of using reverse logistics are summarized. The article considers the relationship between the competitiveness of enterprises, the value chain and consumer value. The structure of benefits that the value chain generates for the end consumer (benefits from ownership of goods, benefits of exchange, benefits of place and time, reputational benefits) is determined, and the role of logistics activities in creating such benefits is shown. In the context of focusing on maximizing consumer value, the necessity of integrating the work of various departments of the enterprise and partner enterprises in the implementation of logistics activities is substantiated. The essence of logistics management as a type of management that focuses on the management of logistics operations based on the formation of cross-functional and inter-organizational integration in order to optimize the functioning of the supply chain, maximize customer value for end users and increase the competitiveness of supply chain participants is disclosed. In the structure of logistics management, the author defines the place of reverse logistics, which is a type of phase logistics activity that creates competitive advantages for partner enterprises by strengthening integration in logistics chains, saving costs through the use of secondary resources in production processes, optimizing inventories, production and trade assortment in relation to current and future demand, and, as a result, maximizing consumer value for end consumers.
Domestic market of nonbank financial services: strategic recovery scenarios
Authors:   SESE “The Academy of Financial Management”, KLYMENKO Kateryna , UKHNAL Nataliia ,   SESE “The Academy of Financial Management”, STARYK Volodymyr ,   SESE “The Academy of Financial Management”
Published: September 2023

As the global financial landscape evolves, the nonbank financial sector has gained prominence and plays a critical role in intermediating financial activities. However, recent developments have underscored the increasing susceptibility of this sector to potential crises and the destabilization of the financial system. The potential for liquidity risks is another significant concern. Nonbank financial and credit institutions heavily rely on short-term funding sources, making them susceptible to sudden disruptions in market liquidity or funding constraints during periods of stress. Moreover, the sector’s exposure to illiquid assets, such as real estate and long-term loans, poses additional vulnerabilities, as their valuations may rapidly deteriorate during periods of market distress. The purpose of the article is to substantiate the key areas of development of non-bank financial and credit institutions in the context of ensuring national economic stability, taking into account the introduction of martial law in Ukraine. The methodology of the system approach, comparison, analysis, synthesis, abstract-logical, economic-statistical, as well as the method of graphical representation of the research results was used. The article examines the growing vulnerability of the nonbank financial sector and its potential impact on the stability of the overall financial system. Current data on the functioning of the non-banking sector are presented, which confirm its importance and impact on the country’s economy. A number of supervisory approaches aimed at ensuring stability, transparency and protection of consumer rights in the market of non-banking financial services (NBFS) are highlighted. The importance of implementing an effective risk-oriented approach to the supervision of the activities of non-bank financial and credit institutions (NBFCI) and the preparation of a methodology for the supervisory assessment of risks of the NBFCI in terms of the ‘structural benchmarks’ declared in the Memorandum of Economic and Financial Policies with IMF is emphasized. Attention is focused on the identified key opportunities and limitations of the non-banking financial services market in the conditions of martial law. An important step in this direction is the harmonization of legislation governing the activities of nonbank financial institutions with the requirements and standards of the European Union. This stimulates interaction with international partners, enhances trust in the Ukrainian financial sector, and promotes the attraction of foreign investments.
Evaluation
of air pollution tolerance index of tree species of Bikaner city (Rajasthan)
Authors: Kaur Leela , Dan Charan Prabhu , Choyal Rajaram
Published: September 2023

The air pollution tolerance index (APTI) is one of the modern tools for assessing the impacts of air pollutants on plant physiology. The value of APTI is different for different plant species. Plants with higher values of APTI are tolerant and act as a sink due to their bioaccumulation ability for air pollutants. Hence, they can be planted to establish green belts in areas with severe air pollution, especially in industrial zones. The present investigation was carried out to assess the APTI values of top twenty urban tree species of the Bikaner city of North-Western Rajasthan. The leaf samples were taken from selected roadside trees distributed in the residential, commercial and industrial zones of the city. On the basis of APTI values, it was observed that Leucaena leucocephala (23.41), Eucalyptus camaldulensis (21.87) and Cassia siamea (21.39) had an APTI value above 20 and they are therefore classified as tolerant species. Similarly, Pongamia pinnata (9.48) showed APTI under 10, therefore it falls into the sensitive category. 80 % of the total species in the studied area are categorized as a moderately sensitive category. There were no plant species in very sensitive (APTI < 1) and very tolerant (APTI > 30) category.
MODEL EPIDEMIK CAMPAK DENGAN ADANYA VAKSIN PADA POPULASI RENTAN DAN SUPPORT PADA POPULASI TEREKSPOSE
Authors: Lestari Tri Puspa , Yuni Yulida  , Lestia Aprida Siska
Published: September 2023

Measles is a highly contagious disease and often occurs in children due to malnutrition, especially children with vitamin A deficiency and a weakened immune system. In addition to vaccination, the role of parents is needed in the form of support to control the development of the virus in the body. This measles disease can be modeled through a mathematical model, especially epidemic model. This study aims to explain the formation of a mathematical model of measles, determine the equilibrium point, basic reproduction number, stability analysis, and to perform numerical simulations on the model. The research procedure begins with construct a model using a system of nonlinear differential equations. The basic reproduction number can be determined using the next generation matrix method and analysis of model stability using the linearization method. While numerical simulation has been carried out using the fourth order Runge Kutta method. The result of this study is the formation of a mathematical model of measles with a population consisting of four compartments, namely Susceptible, Exposed, Infected and Recovered. Disease control is carried out in the model, namely vaccines in the Susceptible population and support measures in the Exposed population. From the model formed, two equilibrium points are obtained, namely the disease-free equilibrium point and the endemic equilibrium point. Furthermore, the basic reproduction number formula and analysis of the stability of the model at the disease-free equilibrium point and endemic equilibrium point are also obtained. Finally, a simulation model is presented to support stability analysis and comparison of solutions for the Infected population before being given control support and after being given control support with variations in vaccine percentages.
HUBUNGAN POLA ASUH DENGAN PERKEMBANGAN BALITA USIA 4-5 TAHUN
Authors: - Nurlatifah , Nurmawati Rita , Ridlayanti Annisa
Published: September 2023

Indonesia, peringkat ketiga tertinggi dalam prevalensi di Asia, perlu lebih fokus pada perkembangan balita karena jumlahnya yang besar. Data Kemenkes 2019 mencatat bahwa 18,9% balita di Indonesia di bawah lima tahun mengalami gangguan tumbuh kembang. Di Jawa Barat, hampir 30% anak mengalami keterlambatan perkembangan. Data terbaru 2020 dari Kabupaten Bandung Barat menunjukkan penurunan 70% dalam stimulasi pertumbuhan anak balita akibat pandemi, karena posyandu di beberapa daerah dihentikan atau dibatasi. Penelitian ini bertujuan menganalisis Hubungan Pola Asuh dengan Perkembangan Balita usia 4-5 tahun di RA-Adzikro Kabupaten Bandung Barat. Menggunakan metode kuantitatif korelasional dengan pendekatan Cross Sectional, uji statistik yang digunakan adalah korelasi Rank-Spearman. Penelitian dilakukan di RA-Adzikro Kabupaten Bandung Barat, dimulai dari awal April hingga Juni 2023. Hasilnya menunjukkan p-value 0.001 < 0.05, mengindikasikan penolakan H0 dan penerimaan Ha, menyimpulkan adanya Hubungan Antara Pengetahuan Pola Asuh dan Perkembangan Balita Usia 4-5 Tahun. Disarankan untuk memahami dan mempersiapkan pola asuh yang baik bagi balita, serta memantau perkembangannya dan memberikan akses belajar yang lebih luas
Hubungan Spiritualitas Dengan Keluhan Masa Menopause Pada Wanita Pra-Lansia
Authors: Juliana Diena , Florensa Florensa , Yousriatin Fajar
Published: September 2023

Menopause merupakan fenomena biologis alami pada akhir fase reproduksi yang dialami setiap wanita pada masanya. Wanita menopause umumnya mengalami gejala fisik atau psikologis yang menyebabkan timbulnya berbagai macam keluhan. Berbagai faktor mempengaruhi keluhan masa menopause, salah satunya yaitu spiritualitas. Tujuan penelitian ini untuk mengetahui hubungan spiritualitas dengan keluhan masa menopause pada wanita pra-lansia di Kota Pontianak.Penelitian ini merupakan studi kuantitatif deskriptif korelasi dengan pendekatan cross-sectional. Responden yaitu wanita berusia 45-59 yang berdomisili di wilayah kerja Puskesmas Perumnas II Pontianak. Sampel diambil menggunakan purposive sampling untuk mendapatkan 82 responden. Penelitian ini menggunakan kuesioner Menopause Rating Scale (MRS) dan Spiritual Well Being Scale (SWBS). Data dianalisa dengan menggunakan uji korelasi Spearman Rho. Hasil penelitian menunjukkan adanya hubungan negatif yang signifikan antara tingkat spiritual dengan keluhan masa menopause pada wanita pra-lansia dengan p-value ? 0,05. Tingkat spiritual mempunyai pengaruh terhadap keluhan masa menopause yang dialami wanita pra-lansia. Penelitian ini menunjukkan bahwa tingkat spiritual yang tinggi akan membantu menurunkan keluhan pada masa menopause, sehingga diharapkan wanita pra-lansia yang memasuki masa menopause dapat mempersiapkan kondisi spiritual untuk menghadapi keluhan pada masa menopause
Qualitative welfare risks of cows offered to a Dutch mobile slaughter unit
Authors: Ursinus Winanda W. , Voogt Annika M. , Bongers Johan H. , Sijm Dick T. H. M.
Published: September 2023

In the Netherlands, a pilot was initiated of a mobile slaughter unit (MSU) for the killing of cull dairy cattle not fit for transport but suitable for slaughter, in order to save valuable meat. The Office for Risk Assessment & Research (BuRO) was asked to assess the risks for animal welfare. As a thorough risk assessment would have been very time consuming, a qualitative framework was used instead. The goal of the current study was to qualitatively describe the relevant risks for cow welfare involved in the use of an MSU compared with current practice by carrying out a rapid comparative risk assessment of animal welfare. The assessment framework consisted of the following steps: identification and description of scenarios, followed by assessment and comparison of the most relevant animal welfare risks in these scenarios, including hazard identification, hazard characterization, exposure, and characterization of the risk to animal welfare. Two main scenarios were identified, one with and one without an MSU. The second scenario was split into three sub-scenarios: killing on the farm/in a housing unit, emergency slaughter, and conventional transport to the slaughterhouse. The most relevant risks associated with operating an MSU were as follows: leaving the cow alive on the farm when it was not fit for slaughter; forcing the cow to walk to and into the MSU (however, this risk is likely higher under conventional transport of unfit cows); and insufficient stunning and bleeding, leading to questionable unconsciousness (however, this risk is likely higher in an emergency slaughter scenario). The MSU is a means of preventing the exacerbation of welfare deterioration in cows that are unfit for transport but fit for slaughter, and it reduces exposure to stressors (hazards) that are conventionally present during transport and at a stationary slaughterhouse. This rapid comparative risk assessment of animal welfare supported swift decision-making: the national competent authority (i.e., the NVWA in the Netherlands) and policymakers were able to improve and develop risk-mitigating actions and to decide on allowing the use of an MSU. When appropriately designed and used, and with sufficient supervision, mobile slaughter facilities can reduce welfare risks in cull dairy cows that are unfit for transport but fit for slaughter.
Parental perspectives on the decision-making process on transport mode choice in adolescents: a qualitative study with mothers and fathers
Authors: Tristram Clara , Reimers Anne K. , Renninger Denise , Beck Franziska , Demetriou Yolanda , Marzi Isabel
Published: September 2023

Objective

The present study aims to understand the familial decision-making process on transport mode choice in adolescents with a focus on the parental perspective within this process.

Background

Active travel contributes to adolescents’ overall physical activity and its positive health effects. Based on the social-learning theory, especially parents are assigned a central role for adolescents’ travel behavior. The aim of the present study was to examine how parents are involved in the decision-making process on transport mode choice in adolescents.

Method

The study is part of the cross-sectional mixed-methods ARRIVE study which includes semi-structured interviews with mothers (n = 12) and fathers (n = 7) of 11- to 14-year-old German adolescents. The interviews focused on travel behavior in adolescents and the decision-making process on transport mode choice from the parental perspective. All interviews were analyzed inductively using Thematic Analysis.

Results

Our study revealed that parents do not primarily decide for or against active travel in adolescents, but are mostly involved in the decision-making process, especially in case of a deviation from the main transport mode. Different forms of parental involvement in the decision-making process were identified. Some parents acted as main decision makers which is the highest form of involvement while others gave their children complete freedom of choose a transport mode for themselves. These parents accepted their child’s choice fully which shows a low involvement in the decision-making process.

Conclusion

The results provide a deeper understanding of the familial decision-making process on travel behavior in adolescents. The results indicate an occasionally parental involvement in the decision-making process on the mainly used transport mode by adolescents, and that mothers and fathers are always involved when deviating from the main mode.

Implications

Further research should investigate changes in travel behavior from childhood to young adulthood to understand long-term travel decisions in families. Due to the findings that parents are often involved in the decision-making process on transport mode choice and that they mainly reported safety concerns as barriers to their children’s active travel, further research should focus especially on the social and physical environment of adolescents.
Debilidades de las pequeñas empresas de Quito que impiden su gestión eficiente, post – pandemia
Authors: Balarezo-Noboa Mauricio Alberto , Cumbal-Flores Héctor Silvio , Villamarín-Granja María Yolanda , Vaca-Sandoval Gladys Umbelina
Published: September 2023

En Ecuador, las PYMES constituyen un factor indispensable en el desarrollo de la matriz productiva y ante la evidente necesidad de recuperación socio-económica, es sustancial un seguimiento continuo del desempeño empresarial, así también brindar apoyo por medio de fuentes de financiamiento que impulse a mejorar los estándares de calidad y establecer acciones estratégicas que aseguren la participación en el mercado interno y; eventualmente, alcanzar economías de escala que le permitan internacionalizar. Es fundamental que la academia aporte de alguna manera para proponer acciones estratégicas que aceleren la recuperación de las pequeñas empresas y su reinserción en el mercado. El estudio tiene como objetivo conocer las debilidades fundamentales de las pequeñas empresas de la ciudad de Quito, valorando los hallazgos según el grado de afectación a la gestión gerencial. Esta investigación fue de carácter exploratorio – descriptivo, con enfoque cualitativo y cuantitativo, la indagación exploratoria fue utilizada para obtener datos amplios del sector, con esta información y la definición de variables se realizó un estudio descriptivo. El cuestionario se diseñó en función del CIIU de la CAN y del Sistema de Gestión Integral de las MiPYME. Entre los resultados se obtuvo que existe una relación significativa entre los factores que representan debilidad en las pequeñas empresas de Quito con la eficiencia en la gestión empresarial, con una confiablidad del 93%; las dimensiones de Comercio Exterior y de Organización Interna no afectan a la eficiencia del negocio. Tema de futura investigación sería estudiar el comportamiento de las pequeñas empresas por sector productivo.
Política de Formación Docente Inicial en Paraguay: Avances y principales retos en el marco de la Transformación Educativa
Authors: Castillo-Vega José María , Ortiz-Ayala Lourdes Irma , Ferreira-Delgado Rosana Daniela , Villalba-Benítez Sara Magdalena
Published: September 2023

Paraguay se encuentra en el proceso de la denominada Transformación Educativa y uno de sus principales ejes de acción es la formación docente, teniendo en cuenta la relevancia de la misma, para encarar los procesos de mejora en el sistema educativo. Es por ello, que mediante esta investigación se pretende describir los avances y principales retos de la formación inicial en la coyuntura educativa señalada. Para el efecto, se utilizó la técnica de la revisión documental, a través del uso de base de datos especializadas como Scopus, Scielo, Dialnet y Google Académico y documentos oficiales del Ministerio de Educación y Ciencias, producidos en los últimos cinco años (2017-2022) respecto a la cuestión docente. En conclusión, se visualizan avances significativos en los últimos años, sin embargo, son numerosos los retos que debe atender el sistema educativo con relación a la Formación Docente Inicial, por lo que urge una política más efectiva para dar respuestas a las demandas existentes. Se debe reconocer la FDI como una de las piedras angulares para el logro de la educación de calidad, pero no abordarla de manera aislada. Es necesaria la revisión constante de los aciertos y los déficits evidenciados en las nuevas iniciativas llevadas a cabo.
Comportamiento del consumidor hacia las compras en línea durante la Covid-19 en Latinoamérica: Revisión sistemática de la literatura
Authors: Bohorquez-Villalta Jorge Luis , Muente-Reyes Carlos Alberto
Published: September 2023

La pandemia de la Covid-19 produjo cambios en el comportamiento del consumidor hacia las compras en línea debido a las medidas de confinamiento. El objetivo del estudio es presentar los hallazgos empíricos del comportamiento del consumidor hacia las compras en línea durante la pandemia de la Covid-19 en Latinoamérica, entre los años 2020 y mediados del 2022. Se realizó una revisión sistemática de la literatura y se seleccionaron 12 investigaciones publicadas en bases de datos científicas. La revisión reveló que, la adaptación a las compras en línea disminuyó el nivel de desconfianza hacia los medios digitales, asociados a la facilidad de uso, seguridad del sitio web, ofertas y atributos de entregas, como los principales cambios en el comportamiento de compra.