bluuebunny/crossref_metadata_2025 huggingface dataset:
Keyword Query Routing
Authors: Kumain Sandeep Chand
Published: May 2023

Abstract

An innovative method of accessing connected data sources on the internet is keyword search.  We propose to route keywords only to relevant sources in order to reduce the substantial processing cost of keyword search queries throughout all providers.  We propose a novel method for computing top-k routing plans by considering their propensity to contain responses for a specific keyword query.  We use a summary of the links between the data components referencing certain keywords to concisely convey these interactions.  For calculating the relevance of routing plans through scores at the level of keywords, data components, element sets, along with sub graphs connecting these elements, a multilayer scoring system is given. We mostly employ two strategies while looking for keywords. Both schema-based and schema-agnostic techniques are involved. On top of commercial databases are developed schema-based techniques. By mapping keywords to the components of databases, also known as keyword elements, a keyword is processed. The calculated keyword components are then joined using the schema-derived valid join sequences to create candidate networks that represent potential answers to the keyword query. Schema-neutral methods work directly with the data. In these methods, the structured outcomes are computed by examining the underlying graphs. Steiner trees and graphs are used to represent keywords and related items. This method seeks to identify structures in the Steiner trees. A Steiner graph, for example, is the path between uni1 and award for the query "Stanley Robert Award".  For the effective exploration of keyword search results over data graphs—which may be quite large—a variety of techniques have been developed. Bidirectional search and dynamic programming are two examples.
Transfer Learning in Natural Language Processing: A Survey
Authors: Dhyani Bijesh
Published: May 2023

ABSTRACT

Transfer learning is a discipline that is expanding quickly within the realm of natural language processing (NLP) and machine learning. It is the application of previously learned models to the solution of a variety of problems that are connected to one another. This paper presents a comprehensive survey of transfer learning techniques in NLP, focusing on five key classification algorithms: (1) BERT, (2) GPT, (3) ELMo, (4) RoBERTa, and (5) ALBERT. We discuss the fundamental concepts, methodologies, and performance benchmarks of each algorithm, highlighting the various approaches taken to leverage pre-existing knowledge for effective learning. Furthermore, we provide an overview of the latest advancements and challenges in transfer learning for NLP, along with promising directions for future research in this domain.
Establish the Relationship Between Green Disclosures and Corporate Financial Performance
Authors: Kaparwan CS Ruchitra
Published: May 2023

Management of environmental performance may be enhanced with the use of environmental reporting. The qualitative and quantitative criteria that must be considered to determine the depth and breadth of such reporting. The purpose of the research is to ascertain whether environmental disclosures have an impact on the bottom line of businesses. 58 businesses from the Nifty 100 Index's manufacturing and non-financial services sectors were chosen for the research. The aforementioned 58 firms' annual reports, company websites, sustainability reports, etc. served as data sources. The research found no statistically significant connection between green disclosures and net profit margin. Green disclosures and earnings per share have no meaningful correlation. Return on capital employed is positively correlated with green disclosures, whereas return on assets is negatively correlated with green disclosures. Environmental, social, and governance (ESG) performance is measured using the Thomson Reuters Eikon ESG disclosure score, whereas financial performance is measured using the return on assets (ROA) and tobin's q ratio.
Evaluate the Performance of Transformational Leadership of the Selected Employees
Authors: Negi Rakshit
Published: May 2023

The research set out to determine how much impact transformative leadership had on worker output by asking the following questions: The government of India was the site of this investigation. The study's overarching goals were to determine the impact of idealistic influence on worker productivity, the value of inspiring motivation, the value of intellectual stimulation, and the value of customized attention in boosting worker productivity. Using a descriptive research strategy, this study analyzed data from across India's individual counties. There were a total of 197 participants in the survey, including 61 county officials, heads of departments, and 136 permanent workers. This research used a probability methodology known as stratified random sampling, which took into account the different types of counties and how they are organized administratively. For the selection of county administrators and department heads, a purposeful sampling method was utilized, whereas a simple random sample method was used for the selection of county workers with permanent positions. Cranach's alpha was used to analyze the consistency between responses to check the reliability of the questionnaire. Employee performance was positively correlated with idealized influence, suggesting that fostering idealized influence might boost productivity. The standards for performance are set by higher-ups. The study's goal is to assess the effects of transformational and transactional leadership on the efficiency of workers in Southeast Province's Education Department.
A Study of Pyramidal Roof Structures: Wind Effects
Authors: Bahuguna Anoop
Published: May 2023

Human life isn't the only thing that can be lost in a cyclone; other animals and property can be impacted as well. A number of hurricanes or cyclones have occurred at various times in the past. Among all the parts of a building, the roof is the one that is directly subjected to the effects of climate change. Roofing structures are common in India's coastal regions and elsewhere around the globe. The roofs of these exposed buildings must withstand considerable wind loads due to the high wind speeds in the atmosphere. The purpose of this research is to examine how wind pressure coefficients vary across a variety of pyramidal roofs and to monitor wind behavior in the vicinity of the building.
A Study on Structural Failures and Corrective Actions
Authors: Kumar Mayank
Published: May 2023

In the beginning, man lived in shelters made from the abundant natural resources at hand. They learned where to construct their tents to avoid the effects of natural disasters. In the event of a breakdown, they may be fixed using only naturally occurring, low-cost components. Yet, as the world's population rises and new construction techniques emerge, it becomes crucial to understand why certain buildings have structural problems and what can be done to fix them. Materials used in engineering construction may deteriorate over time for a number of reasons, leading to structural failures. This study examines the causes of structural failures such as bad planning, low-quality materials, sloppy construction, bad luck, and extreme weather. Also covered are the different approaches to carrying out the necessary repairs, commonly known as corrective actions.
Secure E- Voting System Using Encryption Technique
Authors: Singh Kamred Udham
Published: May 2023

Abstract

The potential of electronic voting to improve the efficiency and effectiveness of the voting process is immense. However, its security and privacy are still a major concern. Traditional methods of securing such systems, such as digital signatures and public key cryptography, are not always ideal when it comes to safeguarding the confidentiality of ballots. In this paper, we introduce a novel method for securing electronic voting ballots that utilizes homomorphic encryption. This method allows for the computation of ballots without needing decryption. The proposed e-voting system is composed of three servers. The first one is an e-voting server that stores the voter's information before it is sent to the tallying or decryption server. The latter two are used to calculate the total vote count and decrypt it. To evaluate the performance of this proposed system, we performed a series of tests on its various components. These included its execution time, memory usage, CPU usage, and communication overhead. The results of the tests revealed that the proposed system is secure and can maintain acceptable performance levels. The proposed system's accuracy and robustness are comparable to that of conventional e-voting systems. Its ability to withstand attacks is greatly enhanced by implementing homomorphic encryption. The proposed e-voting system we presented exhibited the security and privacy benefits of homomorphic encryption. By enabling computations on encrypted data without needing decryption, it helps protect the ballot's confidentiality and provides reliable and accurate results.
Fine-tuning Pretrained Transformers for Sentiment Analysis on Twitter Data
Authors: Anupriya Anupriya
Published: May 2023

Due to the noise and informal language present in Twitter data, it is difficult to perform sentiment analysis on the platform. In recent years, a number of transformer models have been developed that can perform well in this type of task. This study aims to analyze the performance of these models on Twitter data. The study utilizes a publicly-available dataset of tweets with neutral, positive, or negative sentiment. It preprocesses the data and tokenizes it using WordPiece. Three transformer models are then tuned using the labeled tweets' pre-defined weights and the models' training weights from large language modeling projects. The models are trained on a 5-phased scale. The three models' performance was evaluated using various metrics, such as accuracy, recall, and F1 score. The results show that the models performed well overall, with ELECTRA leading the way with an accuracy of 85.8%, followed by XLNet and BERT with 84.3% and 84.5% accuracy, respectively. The study also looked into the hyperparameters' impact on the performance. It revealed that batch sizes and learning rates have a significant effect on the models' performance. The results indicate that the models performed better with larger batch sizes and lower learning rates. The study concluded that the three pre-trained transformer models, namely XLNet, ELECTRA, and BERT, were able to perform well in terms of their performance when it came to analyzing Twitter data. Their findings can be beneficial for those working in the field of sentiment analysis on social media platforms.
Optimizing Hyperparameters for MINIST Dataset Classification using Deep Learning Techniques
Authors: Rao Tabish
Published: May 2023

The potential of deep learning to improve the performance of image classification has been demonstrated. In this paper, we present a study on the optimization of the hyperparameters for the classification of the MNIST dataset. We performed a comparison between a standard two-layer perceptron model and a CNN model with different techniques. The optimized hyperparameters for CNN are based on the number of filters, kernel size, and convolutional layers. The optimized CNN model performed better than the default model on the classification task of the MNIST dataset. The various hyperparameters included the learning rate, batch size, the number of hidden layers, the dropout rate, the activation function, and the optimizer. The optimized CNN model was able to achieve an accuracy of 99% on a test, which is significantly better than the 96% accuracy of the default model. The difference between the two models is that the former takes longer to train and has a slightly longer time per image. The study demonstrates the importance of optimizing the hyperparameters in deep learning-focused classification tasks. The findings show how CNN architectures perform well in these applications, and it shows how optimizing these components can yield superior results. These recommendations can help further develop efficient and accurate models for this field.
Designing an Intelligent Fertilizer Recommendation System for Small-scale Farmers
Authors: Panwar Neeraj
Published: May 2023

The agriculture sector is a vital part of the world's population, as it provides food for everyone. Unfortunately, small-scale farmers often face challenges when it comes to choosing the appropriate amount and type of fertilizer to their crops. This paper proposes an intelligent fertilizer recommendation system (IFRS) that uses machine learning techniques. IFRS is designed to help small-scale farmers make informed decisions when it comes to applying fertilizer. It uses machine learning techniques to analyze and recommend the most effective fertilizer for their crops. This system is built on historical data about the various factors that affect the development and maintenance of a farm's soil and crop yield. It uses machine learning techniques to make informed decisions and improve the efficiency of its operations. The system's dashboard is designed to help farmers easily access and interpret the recommendations it provides. It allows them to input their crop characteristics and location, and it provides personalized fertilizer suggestions based on these data. In addition, it displays the weather conditions and other factors that can affect the application of nutrients. The proposed IFRS would provide small-scale farmers with a reliable and efficient fertilizer recommendation system, which would enhance their income and productivity. The system's user-friendly dashboard and accuracy would make it ideal for use in different countries with varying climates and soil types.
Design Of Energy Efficient and Secure Routing Protocol for Wsn in Iot
Authors: Singh Kamred Udham
Published: May 2023

Abstract

This paper proposes an energy-efficient and secure routing system for wireless sensor networks (WSNs) in the Internet of Things (IoT). The proposed routing protocol improves packet delivery ratio, end-to-end latency, and network lifetime over existing protocols. The protocol under consideration reduces node energy consumption, increasing the network's lifetime, while ensuring data security. Simulation studies using several metrics evaluate the proposed procedure. The recommended protocol outperforms existing protocols in energy efficiency and security. The protocol under discussion has several IoT applications, including smart agriculture, healthcare monitoring, and environmental monitoring. It ensures reliable and secure data transfer. This paper introduces a novel routing system that addresses energy saving and security in wireless sensor networks and the Internet of Things (IoT).
Overview of Localiation Techniques in WSN
Authors: Singh Kamred Udham
Published: May 2023

The present paper offers a comprehensive survey of localization methodologies employed in the context of wireless sensor networks (WSN). The process of localization plays a crucial role in Wireless Sensor Networks (WSNs) by providing the means to ascertain the spatial coordinates of sensor nodes, thereby enabling the deployment of diverse applications. Localization techniques can be categorised into four main types: range-based, range-free, hybrid, and machine learning-based techniques. Every method possesses its own set of merits and demerits, and the selection of a particular technique is contingent upon the precise demands of the given application.

The present review article conducts a comparative analysis of various localization techniques, evaluating their efficacy with respect to precision, expenses, and intricacy. Range-based methodologies provide a superior level of precision, however, they may necessitate supplementary hardware and are susceptible to signal interferences.

The study's importance lies in its provision of a comprehensive resource for researchers and practitioners engaged in the field of Wireless Sensor Networks (WSNs). It offers valuable insights into the various localization techniques and their applications. Comprehending the various localization methodologies employed in Wireless Sensor Networks (WSNs) is imperative for devising and executing proficient and potent WSNs. The present review article aims to provide valuable insights to both researchers and practitioners in order to facilitate informed decision-making regarding the selection of an appropriate localization technique for their respective applications.
Development of Cement Concrete Using Granite Dust and Fly Ash as Partial Substitutes
Authors: Kumar Mayank
Published: May 2023

In this scenario, we observe how the strength of the concrete changes when the standard cement is switched out for granite powder and fly ash as the fine aggregate. In this particular investigation, the researchers employed anything from zero to fifty percent fine aggregate and whatever quantity of cement they deemed appropriate. Concretes of grade M25 and M60 are used since there is a need to take into account either low and high strengths. At room temperature, compressive testing was carried out on cubes of fly ash-added concrete that had been aged 7, 14, 28, and 90 days respectively. After 14 and 28 days after being mixed, cylinders of fly ash-added concrete were split and evaluated for their tensile strength. During a cure period of 28 days submerged in water, the flexural strengths of the concrete beams were measured. We were able to evaluate the chemical solution resistance of concrete made with fly ash and quarry dust by curing samples of concrete in a variety of chemical solutions and then determining the amount of strength and weight that was lost as a result. The high performance concrete mix that was created was made using the M60 grade of concrete. The major focus of this investigation is on the characteristics and performance of concrete in which the cement and fine aggregate have been partly substituted by large volume fly ash (HFA) and quarry dust (QD). The strength, stiffness, and residual strength of high-performance reinforced concrete beams were investigated and tested to see how they would perform under cyclic loading circumstances in terms of the deterioration of these properties. In this investigation, the researchers used a sophisticated chloride penetration technique to concrete that was produced using a combination of fly ash and quarry dust (RCPT). Last but not least, research was conducted on the compressive, split tensile, and flexural strengths, in addition to the chloride permeability, of concrete mixes that included varied amounts of fly ash and quarry dust. The findings demonstrate that reducing waste by recycling stone dust to pavement is a feasible alternative.
Versatile Video Coding (VVC) Standard: Overview and Applications
Authors: Mishra Amit Kumar
Published: May 2023

Information security includes picture and video compression and encryption since compressed data is more secure than uncompressed imagery. Another point is that handling data of smaller sizes is simple. Therefore, efficient, secure, and simple data transport methods are created through effective data compression technology. Consequently, there are two different sorts of compression algorithm techniques: lossy compressions and lossless compressions. Any type of data format, including text, audio, video, and picture files, may leverage these technologies. In this procedure, the Least Significant Bit technique is used to encrypt each frame of the video file format to be able to increase security. The primary goals of this procedure are to safeguard the data by encrypting the frames and compressing the video file. Using PSNR to enhance process throughput would also enhance data transmission security while reducing data loss.
A Comparative Study of AI-based Recommender Systems
Authors: Verma Aditya
Published: May 2023

The purpose of this research is to analyze and compare the various AI-based recommender systems that are currently available. The purpose of the research is to offer a complete review of the many methods and approaches that are utilized in recommender systems, as well as to analyze the strengths and limitations of each of these techniques and approaches. A wide variety of subjects, such as collaborative filtering, content-based filtering, matrix factorization, deep learning, and hybrid recommender systems are discussed in the literature review. In addition to this, a case study is provided to show the use of AI-based recommender systems in a real-world setting. In last, a comparison table is offered to briefly outline the most important aspects shared by each of the various recommender systems. The findings of this research can provide researchers and practitioners working in the field of recommendation systems with a better understanding of the various methods that are currently available, as well as assistance in selecting the strategy that is best suited for the particular application they are working on.
Performance Evaluation of Routing Protocols in Vehicular Ad-Hoc Networks (VANETs): A Comparative Study
Authors: Gupta Sonali
Published: May 2023

VANET is a novel way for fast-moving autos to connect. VANET provided traffic engineering, management, emergency information to avoid accidents, and other user applications. VANETs are similar to Mobile Ad hoc Networks (MANETs), but they have fast speeds, mobility, adequate storage and processing power, unexpected node density, difficult communication environments with limited connection lifespans, etc. Hence, VANET protocol testing needs realism. Vehicular Ad hoc Network (VANET) is a new communication paradigm that allows road network V2V and V2I communication (V2I). It supports traffic engineering, emergency information transfer, and other user applications. Vehicular networks distribute data about road traffic conditions to keep vehicles safe and efficient. VANET Applications' characteristics—different network density, fast vehicle movement—make data dissemination difficult. Performance requirements determine these protocols' vehicle area network applicability. Vehicles talking with each other and roadside units constitute Vehicular Ad-Hoc Networks (VANETs), a specific type of MANET (RSUs). VANETs allow safety, traffic management, and infotainment. Due to vehicle mobility and frequent network topology changes, VANETs have routing difficulties. This paper compares VANET routing protocols. . Simulations reveal that mobility pattern, network density, and traffic load affect protocol performance.
Blockchain-based Traceability and Transparency in Agricultural Supply Chains: Challenges and Opportunities
Authors: Rana Samir
Published: May 2023

The use of blockchain technology in the agriculture business to improve transparency and traceability along supply chains is the topic of this study, which analyses its advantages and disadvantages. The study underlines the need for transparency and traceability in the agriculture sector as well as the advantages of employing blockchain technology in this area. Also, the study highlights the necessity of transparency and traceability in the healthcare sector. There is discussion of obstacles to implementation, including technological as well as organizational issues. The article uses Walmart, Nestlé, Bumble Bee Seafoods, and Cargill as examples of firms that have effectively implemented blockchain-based traceability and transparency in the agricultural industry. Other companies that are discussed are Bumble Bee Seafoods and Cargill. These examples demonstrate how systems based on blockchain technology can be utilized to improve supply chain management, thereby enhancing food security, efficiency, transparency, sustainability, quality, and access to markets. The conclusion of the study highlights the exciting future that blockchain-based traceability and transparency represents for the future of innovation and growth in the agricultural business.
Assessment of benzo(a)pyrene soil contamination in Khabarovsk
Authors: Koshelkov Anton M. , Mayorova Lyudmila P.
Published: May 2023

AIM: To assess the level of benzo(a)pyrene contamination of the functional areas of Khabarovsk in comparison with other cities of the Far East and other regions of the Russian Federation.
MATERIAL AND METHODS: Benzo(a)pyrene concentration was assessed in the surface soil layer in the industrial, agro-residential and residential areas of Khabarovsk using a liquid chromatography with a multi-wave fluorescence detector Waters HPLC 2475 (Waters, USA) in accordance with the Operations Guidelines (MUK) 4.1.1274-03. In total, 78 soil samples were studied, 48.7% and 41.0% of them were collected in residential areas and industrial areas, respectively. Assessment of the pollution level was carried out by the hazard ratio and in accordance with SanPiN (Sanitary Norms and Regulations) 1.2.3685-21. Boxplots methods in MS Excel software were used for statistical analysis of the data.
RESULTS: Benzo(a)pyrene concentration was below the detection limit in 35.9% of the samples while in 33.3% of the samples it exceeded Maximum Permissible Concentration (MPC). The average benzo(a)pyrene content in Khabarovsk soils was 0.079550.04310 mg/kg while the highest was 0.776 mg/kg (38.8 MPC). Benzo(a)pyrene content was 0.0050.145 mg/kg in 86% of samples, in residential areas 81.5% of samples fall within the range of 0.0050.215 mg/kg, in industrial areas 90.5% of samples within the range of 0.0070.157 mg/kg. According to SanPiN (Sanitary Norms and Regulations) 1.2.3685-21, 62.8% of samples are classified as clean, 12.8% permissible, 15.4% hazardous, 9.0% extremely hazardous. Benzo(a)pyrene distribution in the soil surface layer is characterized by the presence of technogenic anomalies with hazard ratios varying from 9.7 to 38.8. Residential areas located within the impact zone of the largest stationary sources of emissions have the greatest levels of pollution.
CONCLUSION: The average benzo(a)pyrene concentration in the soils of Khabarovsk is higher compared to the cities in the Far East and in the European part of the Russian Federation. This situation can be at least partly explained by poor urban planning ignoring aerogenic inflow of pollutants and their accumulation in the soil in esidential areas.
Bayesian Updating and Model Class Selection for Magnitude Estimation in Earthquake Early Warning: Application to Earthquake Sequences in Sichuan Region, China
Authors: Li Hongjie , Taflanidis Alexandros A. , Zhang Jianjing
Published: May 2023

A key component of earthquake early warning system is the development of an accurate and robust predictive model relating the recorded waveform to seismicity and ground-shaking characteristics. This article presents a probabilistic Bayesian inference methodology to address relevant sources of uncertainty in the development of such predictive models. We investigate the calibration of models for the earthquake magnitude based on the maximum predominant period, considering the Sichuan region of Southwestern China as a case study. Established approaches for developing predictive models in this context adopt deterministic tools for some aspects of this development. They consider a linear regression calibrated typically through least squares optimization and frequently utilize the mean observations for each event averaging across the data available from different stations. The proposed Bayesian learning accommodates the following improvements: a model class selection is established, comparing across different candidate models to promote the most appropriate from accuracy and robustness perspectives; the full posterior distribution of the model parameters is identified, quantifying relevant uncertainties in their values; a heteroscedastic model is considered for the estimation error variance; and the observations are separately considered at the calibration stage. Each of these improvements ultimately addresses a different source of uncertainty impacting the predictive model development. We utilize transitional Markov chain Monte Carlo for obtaining samples from the posterior and for calculating the evidence to perform the model class selection. Different regression models are examined, and the Bayesian-based model identification is compared against the common least squares identification approach. Results show the value added by comparing across the different models and by considering a heteroskedastic variance model, offering insights into the advantages of Bayesian-based predictive models in earthquake early warning applications.
Evaluation of the Covid-19 vaccine literacy of the undervaccinated community in a district in the Covid-19 pandemic: Pursaklar example
Authors: DEMİRKÖSE Hacer , AKYÜZ Furkan , GÖKLER Mehmet Enes
Published: May 2023

Objective: In this study, it was aimed to determine the reasons why individuals with incomplete Covid-19 vaccines in a district did not have their second dose of vaccine, even though they had their first dose of vaccine, and to evaluate their vaccine literacy.

Methods: The research is a cross-sectional study conducted between August and October 2021. It was identified and the population of the research was determined. 192 people participated in the study with the sample calculation. In the questionnaire used in the research, there are 29 questions and three sections: demographic characteristics of the participants, their knowledge and attitudes about the Covid-19 vaccine and other vaccines, and the Covid-19 vaccine literacy scale. The scale consists of 12 statements and two dimensions. Mann-Whitney U and Kruskal Wallis tests it was used as statistical methods in the study. Statistical significance value was accepted as p<0.05.

Results: Among the reasons why the participants did not receive the second dose of vaccines, the most common reason was stated as “I didn’t have time/opportunity” with 51%. The Covid-19 vaccine literacy scale mean score of the participants was found to be 2.48±0.53. A difference was found between education status and Covid-19 vaccine literacy, and it was determined that there was an increase in vaccine literacy level as the education level increased.

Conclusion: The mean score of the Covid-19 vaccine literacy scale was determined as 2.48±0.54 for the under-vaccinated participants who had the first dose of Covid-19 vaccine, but did not receive the second dose. The Covid-19 vaccine literacy of the participants in the study is low. Increasing the vaccination literacy of individuals will make a positive contribution to their second dose vaccination.
Use of green area of Kastamonu: Case study of Clock Tower
Authors: SAKICI CIGDEM
Published: May 2023

The aim of the study is to show which areas mainly prefered when the people want to carry out recreational activities in the Kastamonu city center and determine the appropriateness of this area for recreative activity. A questionnaire study was conducted with 100 randomly selected people in order to determine the most frequently used open green area in terms of recreational activity in Kastamonu and the results showed that 89% of the participants prefer the Clock Tower. Thus Clock Tower was determined as a research area in this study. It is revealed the current state of the Clock Tower in scope of the study, plants are used in this area and the purpose of use of these plants is determined and how frequently users use this area and the reasons for not frequent use. In addition, activities that are effected in the area and changes in mood after using the area. The second survey study was conducted on users of the area consisting of 118 people. It is revealed space  features existing at Clock Tower and events area identified after that space features that users want to be in this area and events areas. Thus, the aim of the area is to determine the users' expectations and the deficiencies and problems in this area.
Konsolidasi Internal Partai Demokrasi Indonesia Perjuangan dalam Pemenangan Pilkada Pasca Konflik Internal Partai
Authors: Royyan Muh. Nur , Sulaksono Tunjung , Wijaya Junior Hendri
Published: May 2023

Perebutan restu dari Ketua Umum Partai dalam pencalonan, serta sikap partai dalam mengatasi konflik internal dan berhasil membuahkan kemenangan menjadi ketertarikan untuk dibahas. PDI-Perjuangan sebagai salah satu partai pengusul calon menerapkan jalan panjang dalam proses kandidasi calon. Selama proses kandidasi, DPC Partai telah mengirimkan 4 nama calon untuk diseleksi. Hasil seleksi oleh DPP Partai dalam Surat Rekomendasi memunculkan nama yang berbeda dari daftar yang telah diserahkan. Ketidaksesuaian tersebut memicu timbulnya konflik internal, bahkan terjadi pengalihan dukungan oleh kadernya. Namun, hal tersebut berhasil diatasi oleh DPC Partai dan membuahkan kemenangan. Tujuan penelitian ini untuk mengetahui penyelesaian konflik atas Rekomendasi DPP Partai dan konsolidasi internal untuk pemenangan Pilkada 2020. Metode penelitian yang digunakan adalah kualitatif deskriptif, dengan data primer berupa wawancara langsung dan dokumentasi serta data sekunder yang bersumber dari buku, jurnal, dan publikasi yang relevan. Adapun teknis analisis data yang digunakan ada dengan cara reduksi data, pemaparan data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa DPC Partai dalam menyelesaikan konflik internal melakukan komunikasi politik dan mekanisme penyelesaian konflik sesuai dengan ketentuan partai. Sedangkan dalam pemenangan Pilkada 2020, DPC Partai melakukan konsolidasi internal berupa konsolidasi struktural dan konsolidasi agenda politik. Sehingga dapat disimpulkan bahwa DPC PDI-Perjuangan Kabupaten Pekalongan telah berhasil dalam mengatasi konflik internal dan memenangkan Pilkada 2020. Namun, dari beberapa upaya tersebut masih belum optimal dan masih terdapat campur tangan dari pusat partai yang cukup kuat. Selain itu, dominasi peranan Pimpinan Pusat Partai menjadikan sistem sentralisasi dirasa masih kuat daripada sistem demokrasi yang semestinya diterapkan dengan baik untuk menciptakan demokrasi partai yang sesungguhnya serta kesolidan politik di tingkat lokal.
Особенности бухгалтерского учета в процедуре банкротства
Authors: Акбашева Д.М. , Казиева Р.Э.
Published: May 2023

Целью данной статьи является изучение теоретических основ бухгалтерского учета и анализа финансового состояния несостоятельных предприятий. Для этого поставлены следующие задачи: -рассмотреть понятие «банкротство», вопросы его нормативно-правового регулирования; -определить причины неплатежеспособности субъектов хозяйствования; -рассмотреть историческое развитие банкротства; -изучить особенности ведения учета в период процедур банкротства.
Развитие спортивного маркетинга в современных реалиях
Authors: Ветров А.С. , Матвиешина Е.А.
Published: May 2023

В статье рассматриваются и уточняются основные понятия, принципы развития и функции спортивного маркетинга. Кроме того, авторы выделяют основные цели и задачи, которые ставит перед собой спортивный маркетинг. Авторы подчеркивают, насколько сегодня важно спортивной индустрии прибегать к услугам профессиональных маркетологов, которые способны вывести спортивную команду, клуб, организацию или спортивное мероприятие (состязание) на новый уровень развития с использованием инструментов маркетинга.
Особенности принятия решений по классификации товаров в соответсивии с ТН ВЭД ЕАЭС
Authors: Гранатырь А.И. , Непарко М.В.
Published: May 2023

Классификация товаров в соответствии с гармонизированной системой является ключевым элементом в международной торговле. ГС ЕАЭС содержит определенные правила толкования, применяемые при классификации товаров. В ней приведено описание товаров, которое является обязательным условием для правильной классификации товаров. Также ГС ЕАЭС необходима для мониторинга и контроля импорта и экспорта товаров, взимания таможенных пошлин и налогов с этих операций. Коды на товары ввозимы на таможенную территорию не всегда применимы для таможенных органов, даже первые четыре цифры, которые классифицируют товар по группе ТН ВЭД. В связи с этим, участники внешнеэкономической деятельности, желающие работать на мировых рынках, должны правильно классифицировать товар, прежде чем перемещать его через таможенную границу государства. В статье рассматривается практическое применение ТН ВЭД ЕАЭС, процедура принятия решения о классификации товара, проблемы, возникающие при классификации товара.
Направления совершенствования маркетинговой деятельности ООО «Европа»
Authors: Гридина П.Л.
Published: May 2023

В данной статье предлагаются направления по совершенствованию маркетинговой деятельности на примере конкретного предприятия. Дается расчет экономической эффективности предложенных мероприятий.
Механизмы формирования корпоративной культуры организации
Authors: Кулешова Ю.О.
Published: May 2023

В современных условиях наблюдается тенденция возрастания роли организационной культуры и ее значимости в управлении организациями. На данный момент времени в России наблюдается значительное усиление интереса к вопросам культуры организации не только со стороны ученых и исследователей, но и со стороны основателей бизнеса и руководителей компаний. Успех компании определятся не только знаниями, прорывом в области техники и технологии, но и нравственными принципами, по которым живет компания, ее общей культурой и духовным миром.
Развитие ипотечного кредитования в регионах Северо-Кавказского Федерального
Authors: Урусова А.Б. , Чотчаева Р.М.
Published: May 2023

В статье проведен анализ ипотечного кредитования Северо-Кавказского федерального округа. Рассмотрены различные программы ипотечного кредитования, изучен уровень его финансирования.
Оценка и анализ вертикальных параметров, включаемых в подсчет запасов для условий подземной отработки на примере месторождения «Бургали»
Authors: Курбатова В.В. , Ломакина Н.Е. , Гарифулина И.Ю. , Глотова Е.А.
Published: May 2023

В данной работе выполнено обоснование минимальной мощности рудных пересечений, и максимальная допустимая мощность безрудных и некондиционных прослоев параметров кондиций выполнен статистический анализ с использованием рудных и безрудных пересечений, отстроенных по бортовому содержанию золота для условий подземной отработки 3.0 г/т. При этом в качестве исходной базы для анализа использовался полный массив данных опробования по месторождению, предварительно отфильтрованный по выбранному лимиту содержаний.
Оценка и анализ вертикальных параметров, включаемых в подсчет запасов для условий открытой отработки на примере месторождения «Бургали»
Authors: Курбатова В.В. , Ломакина Н.Е. , Кудрявцева Ю.В.
Published: May 2023

В данной работе выполнено обоснование минимальной мощности рудных пересечений, и максимальная допустимая мощность безрудных и некондиционных прослоев параметров кондиций выполнен статистический анализ с использованием рудных и безрудных пересечений, отстроенных по бортовому содержанию золота 1.5 г/т для условий открытой отработки. При этом в качестве исходной базы для анализа использовался полный массив данных опробования по месторождению, предварительно отфильтрованный по выбранному лимиту содержаний.
Статистика смертности от болезней системы кровообращения в Республике Мордови
Authors: Белoвa Д.К. , Плигина Е.В. , Семелева Е.В.
Published: May 2023

В данной cтaтья рaccмaтривaются cтaтиcтичеcкие пoкaзaтели cмертнocти в результaте бoлезней cиcтемы крoвooбрaщения за период c 2017 пo 2021 гoд, основанный на данных отраслевой статистики. Полученные данные позволяют более объективно оценить демографическую ситуацию в Республике Мордовия и принять соответствующие меры, направленные на повышение эффективности медицинской помощи больным сердечнососудистыми заболеваниями.
Окончательная обработка базиса съемного зубного протеза как важный аспект профилактики заболеваний слизистой оболочки воспалительного и дисбиотического характера
Authors: Вечеркина Ж.В. , Чиркова Н.В. , Примачева Н.В. , Смолина А.А. , Овсянникова Е.В.
Published: May 2023

Разработка термопластических полимеров и использование их в ортопедической стоматологии действительно относится к важнейшему прорыву зуботехнического материаловедения. Однако, проблема окончательной обработки базиса протеза остается на достаточно высоком уровне, оставляя за собой достаточно усилий, временных затрат и неудовлетворенность от качества окончательной получаемой поверхности. Современные полировочные средства для термопластов в основном представлены дорогостоящими импортными материалами, а отечественные пасты не позволяли добиться гладкой, ровной, блестящей поверхности базиса съемного протеза, тем самым не отвечают современным высоким требованиям. В работе представлены актуальные данные, обосновывающие применение новой отечественной полирующей пасты для термопластических полимеров в сравнительном аспекте с зарубежным аналогом.
Анализ качества применения модифицированного стоматологического гипса в ортопедической стоматологии
Authors: Полушкина Н.А. , Чиркова Н.В. , Бобешко М.Н. , Сыч А.В. , Мазалова А.Ю.
Published: May 2023

Гипсы стоматологические - вяжущие материалы, основным компонентом которых является полугидрат сульфата кальция, обладающие необходимыми физико-механическими и технологическими свойствами, а также токсикологическими и санитарно-химическими показателями, позволяющими применять их без вредных последствий для организма человека в ортопедической и хирургической стоматологии. Гипс занимает ведущее место среди материалов, применяемых в клиниколабораторной практике ортопедической стоматологии, является наиболее распространенным, доступным и дешевым материалом. Его применяют для получения: оттисков, моделей челюстей, маски лица, в качестве формовочного материала при изготовлении съемных пластиночных протезов, для фиксации моделей в окклюдаторе ( артикуляторе). Гипс является одним из самых распространенных и важных материалов в лаборатории зубного техника. В зависимости от того, как будет отлита модель челюсти, в дальнейшем, может сказаться на качестве самого протеза. Использование дополнительных ресурсов и методов помогает улучшить необходимые параметры, поэтому применение модификаторов, а также правильно подобранные пропорции и замешивание на вибростолике, позволит повысить качество гипса для выполнения лабораторных этапов изготовления протезов и аппаратов. Проведенные исследования позволили выявить, что материал на основе смеси 70г гипса, 30г супергипса, 44 мл воды и 0,062 масс. ч. КЭ-10-01, с высокими физико-механическими и технологическими показателями для изготовления рабочих моделей и индивидуальных пресс-форм, обеспечивает наиболее высокую точность.
Влияние герпесвирусов на организм человека
Authors: Резчикова А.В. , Карпова В. , Орлина М.А.
Published: May 2023

В данной статье автор хотел показать, что причина одного из хронического воспаления в желудочно-кишечном тракте является переход из латентной в активную форму вирусов герпеса и его размножение в органах ЖКТ. Наибольшую роль в этих процессах играют следующие герпесвирусы: лимфокриптовирус, цитомегаловирус, розеоловирусы, радиновирус. Своевременная диагностика и соответствующая коррекция позволяет остановить нарастающий воспалительный процесс, а также предотвратить серьезные патологии всего организма, возникающие на фоне нарушения работы желудочно-кишечного тракта. Назначение противовирусных препаратов, заместительных ферментов (диаминоксидаза, пролилэндопептидаза), коррекция питания для снижения нагрузки на ЖКТ (употребление легко перевариваемой пищи, правильное соотношение белков-жиров-углеводов, сбалансированность питания по микроэлементам, витаминам и минералам), снижение потребления плохо перевариваемых белков, коррекция анемий и недостатка БАВ, а также прием пробиотиков для коррекции дисбаланса микрофлоры ЖКТ, позволит стабилизировать организм и остановить воспалительный процесс.
Характеристика основных исторических этапов становления процедуры клонирования
Authors: Шевченко А.А. , Каргаполова Е.Ю. , Ефременко Е.С.
Published: May 2023

В материале представлена следующая информация: а) происхождение термина «клонирование»; б) общая характеристика процесса клонирования; в) основные этапы изучения описываемого процесса; г) проанализированы сведения из работ отечественных и зарубежных исследователей изучаемого вопроса; д) показано развитие научных взглядов на процесс клонирования видов; е) изложены законодательные аспекты клонирования в Российской Федерации. Публикация подготовлена в рамках проекта «Базовые школы РАН», который реализуется в соответствии с указанием Президента Российской Федерации от 28 декабря 2018 г. № Пр-2543.
Анализ способов моделирования железобетонных монолитных перекрытий на примере кессонных
Authors: Белобородов Е.В. , Созонов П.С.
Published: May 2023

В статье описаны различные способы моделирования кессонных железобетонных монолитных перекрытий, приведено их сравнение, рекомендован наиболее оптимальный способ моделирования.
Перспективы развития систем «Умный дом» в жилых зданиях
Authors: Горбачѐв А.Ю. , Ласкарев А.И. , Гулякин Д.В.
Published: May 2023

Современные технологии все чаще интегрируются в нашу повседневную жизнь, затрагивая самые разные ее аспекты. Научный прогресс не обходит и строительную отрасль. На сегодняшний день в строительстве широко распространены BIM технологии – технологии информационной модели здания. Однако, по большей части данные технологии относятся именно к процессу проектирования и строительства, и ориентированы на специалистов строительного сектора. Когда речь идет о более бытовых технологиях, касающихся жилищного вопроса, стоит упомянуть технологии «Умного дома». Под термином «Умный дом» понимается организация автоматизации домашних процессов. Среди главных задач подобных систем – обеспечение комфорта и безопасности жильцов. На сегодняшний день технология получает широкое развитие и имеет высокие перспективы дальнейшего внедрения на рынок недвижимости
Модель устойчивого развития сельских поселений в региональных условиях Северного Казахстана
Authors: Корнилова А.А.
Published: May 2023

В статье представлена концептуально-теоретическая модель формирования устойчивого развития сельских поселений в региональных условиях. Модель универсальная. Используя конкретные данные определенного населенного пункта, может быть применена в любом регионе. Концептуально-теоретическая модель способствует обеспечению комфортных условий проживания в конкретном селе и его устойчивого развития.
Компьютерные игры как инструмент обучения старшеклассников
Authors: Гочияева М.Д. , Пшеунетлова З.М. , Чотчаев Ю.И.
Published: May 2023

Авторы определяют роль компьютерных игр в обучении, саморазвитии учащихся. Новые информационные технологии могут повысить емкость содержания и эффективность учебной деятельности для учащихся средних школ, но они также требуют обучения общим компьютерным навыкам, чтобы они могли проводить интегрированное обучение по всем предметам с использованием компьютерных игр.
Изучение потенциала технологий виртуальной и дополненной реальности (VR/AR) для улучшения образования и обучения
Authors: Мурзин С.З. , Шарафиева Н.Х. , Шаяхметов И.М.
Published: May 2023

Технологии VR/AR предлагают иммерсивный опыт, улучшающий восприятие реальности и обладающий преобразующим потенциалом в образовании и обучении. Они могут улучшить вовлеченность, мотивацию и результаты обучения, предоставляя персонализированный и адаптивный опыт. Однако доступность и стоимость создают проблемы. Крайне важно разработать эффективную и удобную среду обучения VR/AR, которая поддерживает разных учащихся. В статье исследуются потенциал, преимущества и ограничения VR/AR в образовании и обучении. Также обсуждаются текущие примеры того, как эти технологии используются в различных областях, и рекомендуются эффективные и доступные способы обучения VR/AR.
Создание чистого кода как инструмента для поддержки командного проекта
Authors: Тынышбаев А.А. , Шаяхметов И.М. , Шарафиева Н.Х.
Published: May 2023

Качество кода, используемого для создания программной системы, имеет решающее значение в жизни проекта. В этой статье мы подробно описываем реализацию и использование различных инструментов в самом зарождении проекта, основанных на принципах чистого кода и использующих известные инструменты статического анализа кода. Этот подход дал более чистый и понятный код в долгосрочной перспективе. Кроме того, подчеркиваем важность создания культурного мышления, которое ценит и обеспечивает соблюдение высоких стандартов качества кода.