bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comprehensive Review of Sentiment Analysis on Indian Regional Languages: Techniques, Challenges, and Trends
Authors: Kale Sunil D. , Prasad Rajesh , Potdar Girish P. , Mahalle Parikshit N. , Mane Deepak T. , Upadhye Gopal D.
Published: September 2023

Sentiment analysis (SA) is the process of understanding emotion within a text. It helps identify the opinion, attitude, and tone of a text categorizing it into positive, negative, or neutral. SA is frequently used today as more and more people get a chance to put out their thoughts due to the advent of social media. Sentiment analysis benefits industries around the globe, like finance, advertising, marketing, travel, hospitality, etc. Although the majority of work done in this field is on global languages like English, in recent years, the importance of SA in local languages has also been widely recognized. This has led to considerable research in the analysis of Indian regional languages. This paper comprehensively reviews SA in the following major Indian Regional languages: Marathi, Hindi, Tamil, Telugu, Malayalam, Bengali, Gujarati, and Urdu. Furthermore, this paper presents techniques, challenges, findings, recent research trends, and future scope for enhancing results accuracy.
Experimental Investigation for Detecting Mitotic Cells in Medical Image using an Automated Algorithm
Authors: Reddy Poli Lokeshwara , M L Sworna Kokila , Praveena K. , Jothilakshmi R. , Sugumar D. , Ramadass Sudhir , Vidhya R.G.
Published: September 2023

Cancer of the breast is a malignant tumour that originates in the cells of the breast tissue. It is by far the most common kind of cancer found in females around the world, with a projected 2.3 million new cases will be discovered in the year 2020 alone. It is projected that one in eight women will be diagnosed with breast cancer at some point in their life, despite the fact that breast cancer can also occur in men. Breast cancer is a complex condition that can arise from a diverse set of factors, express itself in a variety of ways, and can be treated in a variety of ways. Ductal carcinoma in situ, invasive ductal carcinoma, and invasive lobular carcinoma are all different subtypes. Both the available treatment options and the expected outcome of breast cancer are very variable depending on the particular subtype of the illness. Breast cancer risk factors include drinking alcohol and not getting enough exercise, as well as getting older, having a family history of the disease, having genetic mutations, being exposed to estrogens, and having a family history of the disease. There is not always a connection between having risk factors and developing breast cancer, despite the fact that there can be a link between the two. The prognosis and treatment options for breast cancer are highly dependent on the stage of the disease at the time of diagnosis. During staging, the extent to which the cancer has spread throughout the body and how far it has progressed are both measured. The TNM system, the IAFCM system, the ACM system, and the MPIG system are just few of the staging systems that are used to classify breast cancer. These staging systems consider not only the size of the tumor but also whether or not lymph nodes are involved and whether or not distant metastases are present. The severity of breast cancer symptoms can vary widely, depending not only on the subtype of the disease but also on how far along it has progressed. Alterations in the size or shape of the breast, discharge from the nipple, and alterations in the skin of the breast (such as redness or dimpling) are all common indications. On the other hand, not all cases of breast cancer present themselves in a visible manner, and mammography and other forms of routine screening may be able to detect some of these cases. Options for treating breast cancer vary depending on the patient's condition and the stage of the disease, as well as the patient's overall health and their preferences towards therapy. Common examples of medical interventions include surgery, radiotherapy, chemotherapy, hormone therapy, and targeted therapy. Other examples include. In certain cases, it may be appropriate to participate in more than one form of treatment.
Design and Implementation of High QoS 3D-NoC using Modified Double Particle Swarm Optimization on FPGA
Authors: S. B. Sujata , M. Sandi Anuradha
Published: September 2023

One technique to overcome the exponential growth bottleneck is to increase the number of cores on a processor, although having too many cores might cause issues including chip overheating and communication blockage. The problem of the communication bottleneck on the chip is presently effectively resolved by networks-on-chip (NoC). A 3D stack of chips is now possible, thanks to recent developments in IC manufacturing techniques, enabling to reduce of chip area while increasing chip throughput and reducing power consumption. The automated process associated with mapping applications to form three-dimensional NoC architectures is a significant new path in 3D NoC research. This work proposes a 3D NoC partitioning approach that can identify the 3D NoC region that has to be mapped. A double particle swarm optimization (DPSO) inspired algorithmic technique, which may combine the characteristics having neighbourhood search and genetic architectures, also addresses the challenge of a particle swarm algorithm descending into local optimal solutions. Experimental evidence supports the claim that this hybrid optimization algorithm based on Double Particle Swarm Optimisation outperforms the conventional heuristic technique in terms of output rate and loss in energy. The findings demonstrate that in a network of the same size, the newly introduced router delivers the lowest loss on the longest path.  Three factors, namely energy, latency or delay, and throughput, are compared between the suggested 3D mesh ONoC and its 2D version. When comparing power consumption between 3D ONoC and its electronic and 2D equivalents, which both have 512 IP cores, it may save roughly 79.9% of the energy used by the electronic counterpart and 24.3% of the energy used by the latter. The network efficiency of the 3D mesh ONoC is simulated by DPSO in a variety of configurations. The outcomes also demonstrate an increase in performance over the 2D ONoC. As a flexible communication solution, Network-On-Chips (NoCs) have been frequently employed in the development of multiprocessor system-on-chips (MPSoCs). By outsourcing their communication activities, NoCs permit on-chip Intellectual Property (IP) cores to communicate with one another and function at a better level. The important components in assigning application duties, distributing the work to the IPs, and coordinating communication among them are mapping and scheduling methods. This study aims to present an entirely advanced form of research in the area of 3D NoC mapping and scheduling applications, grouping the results according to various parameters and offering several suggestions for further research.
Formal Semantic Approach to Detect Smart Contract Vulnerabilities Using KEVM
Authors: Pise Rohini , Patil Sonali
Published: September 2023

Smart contracts are self-executing programs that run on blockchain platforms. While smart contracts offer a range of benefits, such as immutability and transparency, they are not immune to vulnerabilities. Malicious actors can exploit smart contract vulnerabilities to execute unintended actions or access sensitive data[1]. One approach to mitigating smart contract vulnerabilities is formal verification. Formal verification is a method of verifying the correctness of software using mathematical techniques. It involves mathematically proving that a program conforms to a set of specifications. Formal verification can help detect and eliminate vulnerabilities in smart contracts before they are deployed on the blockchain. KEVM (K Framework-based EVM) is a framework that allows for formal verification of smart contracts on the Ethereum Virtual Machine (EVM). KEVM uses the K Framework, a formal semantics framework, to specify the behavior of the EVM. With KEVM, smart contract developers can verify the correctness of their contracts before deployment, reducing the risk of vulnerabilities. In this paper, we have studied smart contract vulnerabilities such as Over usage of Gas, Signature Replay attack, and misuse of fallback function. We have also written the formal specification for these vulnerabilities and executed it using KEVM.
Reliable and Automatic Recognition of Leaf Disease Detection using Optimal Monarch Ant Lion Recurrent Learning
Authors: O S Greeshma , Sasikala P , Balakrishnan S. G.
Published: September 2023

Around 7.5 billion people worldwide depend on agriculture production for their livelihood, making it an essential component in keeping life alive on the planet. Negative impacts are being caused on the agroecosystem due to the rapid increase in the use of chemicals to combat plant diseases. These chemicals include fungicides, bactericides, and insecticides. Both the quantity and quality of the output are impacted when there is a high-scale prevalence of diseases in crops. Plant diseases provide a significant obstacle for the agricultural industry, which has a negative impact on the growth of plants and the output of crops. The problem of early detection and diagnosis of diseases can be solved for the benefit of the farming community by employing a method that is both quick and reliable regularly. This article proposes a model for the detection and diagnosis of leaf infection called the Automatic Optimal Monarch AntLion Recurrent Learning (MALRL) model, which attains a greater authenticity. The design of a hybrid version of the Monarch Butter Fly optimization algorithm and the AntLion Optimization Algorithm is incorporated into the MALRL technique that has been proposed. In the leaf image, it is used to determine acceptable aspects of impacted regions. After that, the optimal characteristics are used to aid the Long Short Term Neural Network (LSTM) classifier to speed up the process of lung disease categorization. The experiment's findings are analyzed and compared to those of ANN, CNN, and DNN. The proposed method was successful in achieving a high level of accuracy when detecting leaf disease for images of healthy leaves in comparison to other conventional methods.
Critical Analysis on Multimodal Emotion Recognition in Meeting the Requirements for Next Generation Human Computer Interactions
Authors: Taware Shwetkranti , Thakare Anuradha
Published: September 2023

Emotion recognition is the gap in today’s Human Computer Interaction (HCI). These systems lack the ability to effectively recognize, express and feel emotion limits in their human interaction. They still lack the better sensitivity to human emotions. Multi modal emotion recognition attempts to addresses this gap by measuring emotional state from gestures, facial expressions, acoustic characteristics, textual expressions. Multi modal data acquired from video, audio, sensors etc. are combined using various techniques to classify basis human emotions like happiness, joy, neutrality, surprise, sadness, disgust, fear, anger etc. This work presents a critical analysis of multi modal emotion recognition approaches in meeting the requirements of next generation human computer interactions. The study first explores and defines the requirements of next generation human computer interactions and critically analyzes the existing multi modal emotion recognition approaches in addressing those requirements.
The Effective Quantitative Analysis for Brain Tumor Diagnosis Using an Efficient Deep Learning Algorithm
Authors: Radhika K.S.R. , Kumari D. Anitha , Pachala Sunitha , Jayaprada S. , Chaitanya K. , Srikanth B.
Published: September 2023

In the medical field, imaging analysis is the hottest topic. It has attracted many researchers to accurately analyses the disease severity and predict the outcome. However, if the trained images are more complex, the noise pruning results have decreased, which has tended to gain less prediction exactness score. So, a novel Chimp-based Boosting Multilayer Perceptron (CbBMP) prediction framework has been built in this present study. Moreover, the objective of this study is brain tumor prediction and severity analysis from the MRI brain images. The boosting function is employed to earn the most acceptable error pruning outcome. Henceforth, the feature analysis and the tumor prediction process were executed accurately with the help chimp solution function. The planned framework is tested in the MATLAB environment, and the prediction improvement score is analyzed by performing a comparative analysis. A novel CbBMP model has recorded the finest tumor forecasting rate.
KNN-Based ML Model for the Symbol Prediction in TCM Trellis Coded Modulation TCM Decoder
Authors: Thune Neeta N. , Kanwade Archana B. , Sardey Mohini , Panwar Sarika A. , Gawande G.S.
Published: September 2023

Machine Learning is a booming technology today. In a machine learning set of training, data is to be provided to the model for training and that model predicts the output. Machine Learning models are trained using a computer program known as ML algorithms.The new machine learning-based Transition Metric Unit (TMU) of 4D- 8PSK Trellis coded Modulation TCM Decoder is presented in this work. The classic Viterbi decoder's branch metric unit, or TMU, takes on a complex structure. Trellis coded Modulation (TCM) is a combination of 8 PSK modulations and Error Correcting Code (ECC). TMU is one of the complex units of the TCM decoder, which is essentially a Viterbi decoder. Similar to how the first Branch metric is determined in the straightforward Viterbi decoder, the TCM decoder performs this BM computation via the TMU unit. The TMU becomes challenging and uses more dynamic power as a result of the enormous constraint length and the vast number of encoder states.In the proposed algorithm innovative KNN (K nearest neighbours) based ML model is developed. It is a supervised learning model in which input and output both are provided to the model, training data also called the labels, when a new set of data will come the model will give output based on its previous set experience and data.Here we are using this ML model for the symbol prediction at the receiver end of the TCM decoder based on the previous learning. Using the proposed innovation, the paper perceives the optimization of the TCM Decoder which will further reduce the H/W requirements and low latency which results in less power consumption.
An Efficient and Improved Algorithm for a Recommender System to Detect & Recognize Communities in Social Networks
Authors: Reddy V Shashank , Kumar K Kranthi
Published: September 2023

Social Network is a communicative platform which is a part of social media, useful for interaction of information among people i.e. users. There will be millions of users over online Social Networks, they might or might not have similar interests. People with similar interests / mindset would like to have friendly relationship among themselves. Connections with many similar mindset people forms groups or communities. These Communities will be helpful for gaining knowledge/information transmission. In this paper, we will observe efficient methods for recommending groups or communities to users based on their similarities with their friend's or user’s similar to them and groups followed by their friend's, using Hybrid Recommendation Filtering System combined with Singular Value Decomposition.
Interline Unified Power Quality Conditioner for Enhancing Power Quality using FOFPID-based Interleaved CUK Converter
Authors: P Rajakumar , Saravanakumar R.
Published: September 2023

Electrical distribution systems face increased non-linear loads due to using power electronics for the converters. Due to these non-linear loads, the system exhibits PQ problems in the distributed feeders. To enhance PQ problems in the dual feeder, fractional order fuzzy proportional integral derivative controller (FOFPID) is introduced with interline unified power quality (IUPQC) conditioner. IUPQC conditioner includes a distribution static compensator (DSTATCOM), dynamic voltage restorer (DVR) and interleaved cuk converter (ICC). DSTATCOM and DVR are used for compensating the voltages and current in the dual feeders (feeder-1 and feeder-2). Also, ICC monitors the switching between the DSTATCOM and DVR compensators by providing proper power flow. Moreover, the FOFPID controller regulates an input supply from both feeders. The simulation is performed through MATLAB/Simulink platform, demonstrating the robustness of a proposed FOFPID with an IUPQC controller. The performance of a proposed controller is analyzed through two cases for both feeders. Furthermore, the total harmonic distortions (THD) are calculated for the feeder parameters. The proposed FOFPID with IUPQC controller also maintains stability in a dual feeder. Therefore, the entire response shows the functionality and feasibility of a proposed controller.
Forecasting Equity using LSTM Value-at-Risk Estimation
Authors: Patni Sayem , Gadekar Amit R.
Published: September 2023

A deep learning hybrid approach (LSTM-VaR) is proposed for risk-based stock value prediction by comparing the relationship and temporal sequence of stock value data. By utilizing time in its predictions, the model can improve accuracy and reduce volatility in stock price projections. It can anticipate changes in stock market indices and develop a reliable strategy for projecting future costs while calculating normal fluctuations of indices.
Performance Improvement of AODV in Wireless Networks using Reinforcement Learning Algorithms
Authors: Rani Seema , Charaya Saurabh
Published: September 2023

This paper investigates the application of reinforcement learning (RL) techniques to enhance the performance of the Ad hoc On-Demand Distance Vector (AODV) routing protocol in mobile ad hoc networks (MANETs). MANETs are self-configuring networks consisting of mobile nodes that communicate without the need for a centralized infrastructure. AODV is a widely used routing protocol in MANETs due to its reactive nature, which reduces overhead and conserves energy. This research explores three popular Reinforcement Learning algorithms: SARSA, Q-Learning and Deep Q-Network (DQN) to optimize the AODV protocol's routing decisions. The RL agents are trained to learn the optimal routing paths by interacting with the network environment, considering factors such as link quality, node mobility, and traffic load. The experiments are conducted using network simulators to evaluate the performance improvements achieved by the proposed RL-based enhancements. The results demonstrate significant enhancements in various performance metrics, including reduced end-to-end delay, increased packet delivery ratio, and improved throughput. Furthermore, the RL-based approaches exhibit adaptability to dynamic network conditions, ensuring efficient routing even in highly mobile and unpredictable MANET scenarios. This study offers valuable insights into harnessing RL techniques for improving the efficiency and reliability of routing protocols in mobile ad hoc networks.
Cloud Computing for Effective Cyber Security Attack Detection in Smart Cities
Authors: Kale Namita R. , Metre Kalpana V. , Chitte Pankaj Pramod , Mahankale Nitin , Gore Santosh , Gore Sujata
Published: September 2023

An astute metropolis is an urbanized region that accumulates data through diverse numerical and experiential understanding. Cloud-connected Internet of Things (IoT) solutions have the potential to aid intelligent cities in collecting data from inhabitants, devices, residences, and alternative origins. The monitoring and administration of carrying systems, plug-in services, reserve managing, H2O resource schemes, excess managing, illegal finding, safety actions, ability, numeral collection, healthcare abilities, and extra openings all make use of the processing and analysis of this data. This study aims to improve the security of smart cities by detecting attacks using algorithms drawn from the UNSW-NB15 and CICIDS2017 datasets and to create advanced strategies for identifying and justifying cyber threats in the context of smart cities by leveraging real-world network traffic data from UNSW-NB15 and labelled attack actions from CICIDS2017. The research aims to underwrite the development of more effective intrusion detection systems tailored to the unique problems of safeguarding networked urban environments, hence improving the flexibility and safety of smart cities by estimating these datasets.
Optimization of Third Order System with a Novel Fuzzy-based Fractional PID Controller
Authors: Mohindru Pankaj
Published: September 2023

The conventional Integer Order-based Proportional Integral Derivative (IO-PID) control has been widely employed in process control and manufacturing industries. However, upon thorough review, it is evident that traditional IO-PID control falls short when applied to non-linear and higher-order systems. This paper addresses the challenge of controlling higher-order systems prevalent in numerous industrial plants. The primary goal of controllers in intricate systems is to minimize settling time, overshoot, and related parameters for higher-order systems. To tackle these issues, a novel Fuzzy fractional order-based PID (FFOPID) controller is introduced through this work. This controller aims to provide solutions for the significant challenges encountered in control systems. By subjecting both the traditional controller and the novel controller to the same unit step input, simulations are carried out using MATLAB. The comparative analysis of the output responses highlights the superior performance of the designed novel controller works over the traditional IO-PID controllers. There is a reduction of overshoot by 15% and settling time by more than one second by the FFOPID controller compared to the IO-PID controller.
GAINS AND LOSSES IN THE URBAN POLITICAL FIELD: MULTILAYERED OUTCOMES OF MOBILIZATION IN MOSCOW’S HOUSING CONTROVERSY*
Authors: Zhelnina Anna
Published: September 2023

Social movements attain a variety of incremental gains as they strive to achieve their primary goals. The gains include new worldviews (“frames” and “cognitive toolkits”) and relationships (social networks, alliances, and adversities). Even if a movement does not achieve its primary goals, the accumulated gains can pull people further into new arenas of collective action, transforming the configuration of the political field., This article builds on the literature on intermovement interaction and the strategic interaction perspective to apply a microsociological approach to the transfer of gains aamong arenas. The empirical material for the analysis comes from the mobilization in response to an urban renewal project in Moscow and its subsequent “spillover” into electoral arenas of Moscow’s politics. I collected data from 2017–2019, including interviews, observations, and digital ethnographies of online communities created to organize supporters and opponents of the proposal. I identify the microlevel mechanisms facilitating and blocking the transfer. I also demonstrate that individual players simultaneously assess potential gains and losses at multiple levels: in their private lives, civic communities, and national politics.
Transferência de Embriões em Equinos: Receptoras Acíclicas
Authors: Flores Adrielly Maria , Rodrigues Letícia Alencar Mailho , Rigoleto Júnior Wilson Luis , Castilho Caliê
Published: September 2023

Em equinos a principal biotécnica reprodutiva utilizada visando maior produtividade de potros por égua/ano é a Transferência de Embriões (TE) que permite manter a égua doadora da genética em suas atividades, enquanto outra geste seu potro. Para tanto é necessário preparar receptoras, ou seja, éguas comuns que irão gestar o embrião de uma égua pura de alto valor genético e ao utilizar protocolos hormonais é possível preparar o útero das receptoras dentro e fora da estação reprodutiva para que esteja apto à inovulação. Portanto, objetiva-se revisar a literatura sobre transferência de embriões em equinos com enfoque na preparação de receptoras. Os protocolos padrões, que mimetizam a fase diestral da égua, tem como base a progesterona (P4) na apresentação injetável por via intramuscular de longa ação (LA), no entanto, apresentam alto custo e são passíveis de formação de abcessos no local da aplicação quando não administradas de maneira correta, além disso a P4 permanece elevada na corrente sanguínea inviabilizando a reutilização desta receptora num curto período de tempo, caso a gestação não seja efetivada. Recentemente uma nova estratégia de hormonioterapia está sendo utilizada a campo, com dispositivos intravaginais a base de P4 utilizados em bovinos, os quais induzem rápida queda na P4 após sua retirada e sem os inconvenientes da aplicação injetável.
 
Palavras-chave: Blastocisto. Dispositivo Intravaginal de Progesterona. Égua. Inovulação. Protocolo Hormonal.
 
Abstract
In equines, the main reproductive biotechnique used focused on greater productivity of foals per mare/year is called Embryo Transfer (ET) which allows to keep the genetic donor mare in her activities, while another animal gestates her foal. Therefore, it is necessary to prepare recipients, common mares that will gestate the embryo of high genetic value, by using hormonal protocols to prepare its uterus inside and outside the breeding season to get ready for inovulation. Therefore, the aim of this literature review is to study embryo transfer in horses with a focus on the preparation of recipients. The standard protocols, which mimic the mare's diesstral phase, are based on progesterone (P4) in the long-acting (LA) intramuscular injection, however, these protocols are expensive and susceptible to abscesses formation at the injection site when it is not administered correctly. In addition, P4 remains at high value in the bloodstream, preventing to reuse this receptor in a short period of time, if pregnancy is not successful. Recently, a new hormone therapy strategy is being used with P4-based intravaginal devices used in cattle, which induce a rapid drop in P4 after removing the device, without the inconvenience of injection.
 
Keywords: Blastocyst. Inovulation. Mare. Hormonal Protocol. Progesterone Intravaginal Device.
Estudo da Evapotranspiração Sobre o Impacto de Preservação de uma Unidade de Área Protegida no Pantanal Mato-Grossense
Authors: Oliveira Fábio Rodrigues Vinhal de , Danelichen Victor Hugo de Morais
Published: September 2023

O pantanal brasileiro está presente nos estados de Mato Grosso e Mato Grosso do Sul que possui diversidade florística e animal, é a maior planície alagada do mundo. A preservação no bioma é de suma importância para manter e progredir a diversidade do local, perante isso, a Reserva Particular do Patrimônio Natural (RPPN) no bioma pantanal tem o objetivo de preservar localidades que a evapotranspiração está sendo mais intensa com diferente espaço de tempo. A presente pesquisa apresenta por meio de resultados captados pelo sensoriamento remoto a respeito pelo índice de vegetação da diferença normalizada, chamado de NDVI, esse índice quantifica e qualifica o resultado da vegetação na região. Para o método de mapeamento da área foi utilizado o sensoriamento remoto, o satélite utilizado foi o TERRA/AQUA, e para determinação dos cálculos foi usada softwares de GIS (Sistema de Informação Geográfica) onde abrange sensores orbitais necessárias para a pesquisa. O sensor do satélite MOD16 contribuí com algoritmo de entrada de Índice de Área Foliar (LAI), fração de Radiação Fotossinteticamente (fPAR) e abrangendo albedo de classificação de uso da terra oriundos do sensor MODIS coleção 5 sendo séries temporais com intervalo de 8 e 16 dias do MODIS (Moderate Resolution Imaging Spectroradiometer).
 
Palavras-chave: Pantanal. NDVI. MOD16. MODIS. RPPN.
 
Abstract
The wetland in Brazilian is present in the states of Mato Grosso and Mato Grosso do Sul that has floristic and animal diversity, it is the largest flooded plain in the world. Preservation in the biome is of paramount importance to maintain and progress the diversity of the place, in view of this, the Private Natural Heritage Reserve (RPPN) in the wetland biome that aims to preserve locations where evapotranspiration is being more intense with different spaces. of time. The present research presents, through results captured by remote sensing, regarding the normalized difference vegetation index, called NDVI, this index quantifies and qualifies the result of vegetation in the region. Remote sensing was used for the area mapping method, the satellite used was TERRA/AQUA, and GIS software (Geographic Information System) was used to determine the calculations, covering orbital sensors necessary for the research. The MOD16 satellite sensor contributes with an input algorithm of Leaf Area Index (LAI), Photosynthetically Radiation Fraction (fPAR) and covering land use classification albedo from the MODIS sensor collection 5 being time series with interval of 8 and 16 days of the MODIS (Moderate Resolution Imaging Spectroradiometer).
 
Keywords: Pantanal. NDVI. MOD16. MODIS. RPPN.
Research on the Value-Added Process of the Value Chain of Tibetan Sheep Based on the Rotational Grazing
Authors: Zhang Shengfu
Published: September 2023

In the mode of rotational grazing, the herds of sheep from 11 herdsmen were monitored in such aspects as the plant yield of the grasslands, the production process of the herds of sheep and the corresponding market prices of mutton, the structure of the herd and the changes of the number, the cost composition and its change, and the process of value transfer among the entities of the external value chain within 15 months. On this basis, this paper attempted to deconstruct the relationship between the above factors and the value chain as well as the model of the value-added process of the value chain. Besides, it further analyzed the key factors which can affect how the value of the value chain can be added so as to optimize the rotational grazing, the grass-and-grazing balance, and the key points of management and control.
Winter recreational activities of male students staying at dormitory and their attitudes towards sports
Authors: Önen Cihan , Sandıkçı Muhammed Bahadır , Bilgi Mustafa , Sandıkçı Duygu Büşra
Published: September 2023

Background: This study aims to analyze the winter recreational activities of male university students, their attitudes towards sports, and their physical activity states.
Methods: The population of this cross-sectional study consists of the students staying in a male dormitory. Data were collected through a personal evaluation form and a scale of attitude towards sports.
Results: Average sports attitude of students is 82.92. Playing okey game, playing football, spending time in the cafeteria and studying in the library are recreational activities that students frequently prefer in winter. There is a statistically significant difference between hobbies of students, playing football, spending time in the cafeteria and library activities and sports attitudes (p<0.05). The odds of doing moderate and high aerobic physical activity for those who spend time in cafes are 2 times higher than those who do not, 2.8 times higher for those who go to fitness compared to those who do not, and 3.9 times higher for those with an income of 1000-1500 TL (Turkish Lira) compared to those with 1500 TL and more.
Conclusions: The sports attitudes of those who have winter hobbies, play football, and have recreational activities in the library and cafeteria are high. Although fitness recreational activity does not make a significant difference in sports attitudes, it comes to the fore in the weekly recommended moderate and high-intensity aerobic physical activity behaviors. While recreational football made a difference in sports attitudes, it did not make this difference in the recommended physical activity behavior. Students often prefer to play okey, which takes place indoors outside the campus in the winter. For a healthy life, it is necessary to concentrate on recreational activities that will increase the sports attitude and physical activity behavior of the students on the university campus or student dormitory.
Hospitais universitários federais – entre a autonomia universitária e a perspectiva gerencialista
Authors: Nolasco Leite Marcio , De Oliveira Souza Adáuto
Published: September 2023

Este artigo traz para o debate uma reflexão “em espiral” sobre a relação do Estado com as Políticas Públicas, nesse metiê, a visão de um ritmo linear deve ser superada, para que partindo das articulações escalares compreenda-se, como o fizemos, com o fenômeno geográfico - a ação concreta do governo brasileiro, denominada Programa Nacional de Reestruturação dos Hospitais Universitários Federais – (REHUF), o surgimento de uma proposta neoliberal de cunho gerencial/administrativa, em tese, única “solução” para a crise desses nosocômios, e dessa forma, perceba-se como a gestão desses espaços públicos sofreu influência do Estado para implementar um tipo de Política Social. As literaturas sociológica e geográfica permeiam o artigo, formando arcabouço teórico para o pensamento em espiral. É exposto a correlação do REHUF com o Neoliberalismo e um novo olhar lançado.
Influência e metropolização futebolísticas na Região Metropolitana de Chapecó
Authors: Gallego Campos Fernando Rossetto
Published: September 2023

O crescimento econômico, político, social e cultural de Chapecó, aliado à constituição da Região Metropolitana de Chapecó (RMC), põe em curso um processo de metropolização do espaço na região. Este processo é acompanhado pela metropolização futebolística, impulsionada pelo sucesso esportivo e administrativo da Chapecoense nos últimos anos. O objetivo deste artigo é analisar o perfil dos torcedores de Chapecó e dos municípios do Núcleo Metropolitano da RMC com mais de 10 mil habitantes (Xanxerê, Xaxim, Pinhalzinho, Seara, São Carlos e Coronel Freitas), a fim de subsidiar discussões sobre influência e metropolização futebolísticas. Para tal, aplicamos 2.324 formulários com questões sobre estruturações identitárias futebolísticas e padrão de consumo. Observa-se grande influência do espaço de representação do futebol de Chapecó nos demais municípios pesquisados, bem como considerável influência futebolística de Porto Alegre em toda RMC.
Prosthetic management of peri-implantitis: Analyzing risk factors and advancing preventive strategies
Authors: Byrappa Brijesh , Neeha Pavthra , Chabaria Khushboo , Kumar Santosh , Satheesh
Published: September 2023

Dental implantology has transformed restorative dentistry by providing effective solutions for tooth replacement. However, challenges like peri-implantitis, involving inflammation and bone loss around dental implants, have emerged. This article explores the prosthetic management of peri-implantitis, emphasizing risk analysis and preventive strategies. Peri-implantitis's definition, clinical signs, and causes are outlined, encompassing local and systemic risk factors. Prosthodontists play a key role in removing prosthetic components, enabling thorough treatment. Mechanical and chemical methods for implant surface debridement are highlighted, focusing on infection removal and tissue healing. Preventive measures, such as patient evaluation, hygiene education, and treatment planning, are crucial for pre- and post-implant placement. Structured maintenance schedules, interdisciplinary collaboration, and customized prosthetic designs are pivotal in preventing recurrence. This comprehensive approach ensures implant longevity and elevates implant dentistry standards.
Influence of ternion of soft tissue attributes on gingival recession and root coverage outcome – A retrospective analysis
Authors: Devaraj Namratha , Arun Ramya
Published: September 2023

The independent influence of Keratinized Tissue Width (KTW) and Gingival Biotype (GB) on root coverage outcomes have been reported over the years. These parameters along with Recession Depth (RD) might act as a triad and assessing this ternion would be beneficial in determining prognosis and devising treatment plan for gingival recession. The aim of this retrospective analysis is to evaluate a possible association between KTW, GB and RD and their influence on Gingival Recession and root coverage outcome.

45 isolated gingival recession defects were assessed for KTW (<2mm, >2mm), GB (thin vs thick) and RD (1-4mm). Primary outcome was to establish an association between the above-mentioned parameters. Secondary outcome was to find the percentage Root Coverage (%RC) obtained after coronally advanced flap procedure. To evaluate the relationship of KTW vs GB, GB vs RD and KTW vs RD, chi-square test was used. To analyse the intra-parametric correlation and the association between all three parameters, Pearson correlation test and ANOVA were carried out respectively.

The Chi-square test results revealed a statistically significant association of p<0.03 for the relationship of KTW vs GB and GB vs RD and p<0.001 for KTW vs RD. Pearson correlation test showed a positive correlation between KTW and GB (.320), negative correlation between GB and RD (-.046), and KTW and RD (-.136). ANOVA showed a p-value of 0.041 inferring that any change in KTW and GB significantly influenced RD. Sites with <2mm KTW, thin GB and deeper RD, which can be referred to as negative ternion, exhibited 43.8% mean RC while sites with >2mm KTW, thick GB and shallow RD, which can be referred to as positive ternion had 94.7% mean RC.

There is a definitive association between Keratinized Tissue Width, Gingival Biotype and Recession Depth. A ternion of these parameters greatly influences the outcome of root coverage procedures.
Management of inappropriate frenal attachment with conventional scalpel approach: A case report
Authors: Dhingra Yashica , Agarwal Mrinalini , Kaushik Mayur , Joshi Salil
Published: September 2023

The term "frenum" refers to a small fold or band of tissue that connects two structures within the body. These frenum can vary in size, shape and attachment points among individuals. In some cases, an oral frenum may cause issues such as restricted movement, speech difficulties, diastema (gap between teeth) or interference with orthodontic treatment. The frenum may jeopardize the gingival health when they are attached too closely to the gingival margin, either due to an interference in the plaque control or due to a muscle pull. The aim of this case report is to manage the inappropriate frenal attachment in single visit by conventional scalpel technique.
THE INFLUENCE OF THIAMINE AND ITS CATABOLITES ON THE MAGNITUDE OF ELECTROPHORETIC VELOCITY AND THE ζ-POTENTIAL OF YEAST SACCHAROMYCES CEREVISIAE
Authors: Budnyak O. K. , Chernadchuk S. S. , Sorokin A. V. , Petrov S. A.
Published: September 2023

Problem: Yeast cell solutions are thought to be more stable with an increase in the negative charge of their cell surface, which can be controlled by the level of ζ-potential or electrophoretic velocity. Thiamine is known as a yeast growth stimulant, but the effect of vitamin B1 and its catabolites on the state of yeast membranes has not been investigated.
Aim. The purpose of the work is to determine the effect of different concentrations of thiamine, thiaminedisulfide, 4-methyl‑5-β-oxyethylthiazole and thiochrome on the value of the ζ-potential and electrophoretic velocity in Saccharomyces cerevisiae.
Methods. Determination of electrophoretic velocity and ζ-potential was carried out using a microelectrophoresis unit and a microscope, the movement of yeast cells along Hemocytometer was observed. It was determined in what time (sec) the cells will pass a path equal to the side of the square in the Hemocytometer. Parameters: voltage in the circuit – 100 V, the distance between the electrodes – 2 cm, the path traveled by the yeast cells – 0.02 cm (control test). In the test samples, thiamine and its catabolites were added to the yeast suspension 15 minutes before the measurements in final concentrations of 1, 5, 10 μmol.
The main results: Incubation of yeast with thiamine, which was added to the medium at concentrations of 5 and 10 μmol, increased the ζ-potential and electrophoretic velocity, respectively, by 2.75 and 1.84 times compared with the control. Thiaminedisulfide at a concentration of 10 μmol increased the studied indicators by 2.61 times, and thiochrome at a concentration of 1 μmol – by 4.26 times compared with the control. The introduction of 4-methyl‑5-β-oxyethylthiazole into the mediumat a concentration of 1 and 5 μmol also caused an increase by 1.43 and 1.24 times, respectively, compared with the control.
Conclusions. Thiamine and its metabolites increased electrophoretic velocity and ζ-potential of yeast cells. Thiaminedisulfide and thiamine increased the level of the studied indicators at concentrations, respectively 10 μmol, and 5 and 10 μmol due to enhancement of oxidation processes in yeast cells, while thiochrome and 4-methyl‑5β-oxyethylthiazole acted at concentrations, 1 μmol, 1 and 5 μmol, respectively, apparently, due to the interaction with the hydrophobic pockets of proteins.
CHANGES IN THE DENSITY AND COMPOSITION OF BONE TISSUE AND ALVEOLAR BONE ATROPHY IN RATS WITH HYPOTHIREOSIS AND CORRECTION WITH A COMPLEX OF MINERALS AND VITAMINS
Authors: Zaderei О. V. , Khodakov І. V.
Published: September 2023

Problem. For diseases of the thyroid gland, it is advisable to use hormone replacement therapy. However, numerous consequences of an overdose of L‑thyroxine drugs are known. The use of a preventive complex based on minerals, vitamins and quercetin can be an alternative to replacement therapy for correcting the consequences of disorders of the musculoskeletal system in thyroid diseases.
Goal. The purpose of the work is an experimental study of the osteoprotective effectiveness of a complex of vitamins and minerals in rats with hypothyroidism.
Method. In the experiment, 36 rats were used, which were divided into three groups: 12 intact, 12 animals that were simulated with hypothyroidism, and 12 rats that, against the background of hypothyroidism, were administered a preventive complex daily. The experiment on modeling hypothyroidism and its prevention lasted 4 months. Mandibles, lumbar vertebrae and femurs of rats of both sexes were isolated. Morphometric parameters were studied in vertebrae and femurs: density, content of mineral and organic components of bone tissue. The degree of atrophy of the alveolar process was determined in the jaws of the animals.
Main results. Modeling hypothyroidism in rats caused a significant decrease in femoral bone density in males by 2.2% and in females by 1.7%, had no effect on lumbar vertebral density, and significantly increased alveolar process atrophy in males by 22.2% and in females by 15. 8%. The decrease in the density of the femur bone was due to a decrease in the content of the mineral component of bone tissue by 4.5–7.2%. The use of a preventive complex containing vitamins, minerals and quercetin led to an increase in the density of femurs to the level of healthy animals, increased the density of the lumbar vertebrae by 2.2–3.1%, and reduced atrophy of the alveolar process of the jaws in females by 21.5% and in males by 31.4%. Deterioration of the quality of bone tissue in thyroid insufficiency, as well as the osteotropic effectiveness of the prophylactic complex in conditions of hypothyroidism, were more pronounced in males.
Conclusions. The conducted studies showed the development of dystrophic processes in the jaws and femurs of rats against the background of a deficiency of thyroid hormones and the positive effect of a complex of vitamins and minerals, which effectively stopped the atrophy of the alveolar process of the jaws and the decrease in the density of the femurs, and also increased the density of the lumbar vertebrae of rats with hypothyroidism.
LIFE AND SCIENTIFIC-PEDAGOGICAL ACTIVITY OF A BOTANIST, SCIENCE HISTORIAN, AND PEDAGOGUE, PROFESSOR DMYTRO OLEKSANDROVYCH BAIKOV (1818-1884)
Authors: Kuznetsov V. O.
Published: September 2023

Problem. Professor of Zoology and Botany D. O. Baikov worked at several educational institutions in Odesa: Odesa (Novorossiysk) University (1865-1866), Richelieu Lyceum (1850-1865), Odesa Institute of Noble Maidens (1854-1868), Gymnasium of Richelieu Lyceum (1850-1854), 2nd Municipal Girls' School (1854-1868). His life and activities have been covered in many biographical articles, but the information provided is either inaccurate or conflicting. As an example, none of the authors provide the dates and places of his birth, death or burial.
Objective. The aim of our study was to clarify the basic biographical data and the results of the scientific-pedagogical activity of Professor D. O. Baikov.
Main results. Based on the study of archival and official printed documents of the 19th and early 20th centuries, the main dates of the life and activity of Professor Dmytro Oleksandrovych Baikov, who headed the Department of Zoology and Comparative Anatomy of Odesa (Novorossiysk) University, were established. His role in the development and formation of higher and women's education in Odesa in the second half of the 19th century is shown.
Conclusions. For the first time, the main dates of the life and scientific-pedagogical activity of Professor D. O. Baikov were documented – 25(13).10.1818 – 22(10).09.1884; for the first time, 12 units of storage of three state archives and 9 printed documents that were previously unknown to the scientist's biographers and specialists in the field of biography were introduced into scientific circulation; arguments were provided for reconsidering some conclusions regarding the activities of Professor D. O. Baikov in educational institutions of various types.
FOOTBALL IN A GLOBALIZED WORLD: ON THE QUESTION OF FOOTBALL HERALDICS
Authors: Pavlyk Vladyslav
Published: September 2023

This article deals with the emergence and formation of football heraldry as one of the main elements of modern football. Examples of football emblems of clubs and national teams are given. This article gives you the opportunity to see that modern football has long ceased to be just a game, and has become a global phenomenon. Football is inextricably linked to many historical, ethnological, and sociocultural aspects. An attempt is made to analyze the common and distinctive features of the coats of arms of football clubs of different countries. Modern football is an ethnocultural phenomenon. Attributes and symbols become an element of globalization and identification. Undoubtedly, the main element of football symbols is the emblem or emblem of the club. Football in the modern world forms a separate culture that needs to be studied and researched.
 
The purpose of this article is to trace and analyze the transformation of football heraldry and ethno-cultural features of football emblems.
 
The historiography of the study of football and football paraphernalia in particular is quite specific and diverse. The works of researchers of football culture and the attributive-symbolic component of the game of football are important.
 
So the conclusion can say thatemblem is the most important of the club's football attributes. He has accompanied the team since its inception, is a source of pride for fans and players and can tell a lot about the history of the club and the city he represents, contains information about the traditions and cultural features of his native region. Therefore, it is a valuable and integral component of football teams and a very interesting object of study.