bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information Technology and Quality of Service during COVID-19 in a Health Center, ICA 2022
Authors: Yarasca-Meza Mirtha , Uribe-Hernández Yrene , Tello-Aguilar Carmen , Silva-Narvaste Bertha , Ortiz-Gutierrez Jose 
Published: September 2023

The use of health information technology allows improving health care that could not be performed during the pandemic, in addition to controlling patients whose diagnoses are chronic can be treated remotely, so the research objective is to determine the Information Technology and quality of service during COVID-19 in a health center, Ica 2022. It is a quantitative correlational study, with a total population of 206 workers who filled out a questionnaire with sociodemographic data and information and communication technology instruments; and the scale of quality of care of health services. In the results, 92.2% (n=190) of the participants always frequently use information and communication technologies; and 7.8% (n=16) sometimes use information and communication technologies. In conclusion, workshops should be held to promote the importance of the use of information and communication technologies, in order to improve care processes in the establishment.
Client Classification and Dynamic Pricing of Resources in Cloud using Cloud Simulator
Authors: Ponnuswamy P.  Priya , Shabariram C. P. 
Published: September 2023

In cloud computing scenarios, the resources like hardware or software or applications can be accessed whenever a client needs. The client needs to get a subscription to avail service. The usages are monitored by service provider for each client over a network. When more number of client issues a request in cloud, scheduling the resources and pricing of taken resources from the cloud have a huge difference on the incomes. The job request from the user is scheduled in cloud is done, based on the need of the client (i.e) client classification algorithm and based on the demand pricing is fixed (i.e) dynamic pricing scheme. These algorithms solves income optimization problem by allocating resources under a given price and pricing of the resources are based on the allocation. The experiments were proposed with cloud simulation. Cloud simulations results are measured with the first come first serve, client classification and dynamic pricing model. The proposed algorithm shows the better resource allocation based on the pricing method.
FVI-BD: Multiple File Extraction using Fusion Vector Investigation (FVI) in Big Data Hadoop Environment
Authors: Vadivu V. , Kavitha N. 
Published: September 2023

— The Information Extraction (IE) approach extracts useful data from unstructured and semi-structured data. Big Data, with its rising volume of multidimensional unstructured data, provides new tools for IE. Traditional Information Extraction (IE) systems are incapable of appropriately handling this massive flood of unstructured data. The processing capability of current IE systems must be enhanced because to the amount and variety of Big Data. Existing IE techniques for data preparation, extraction, and transformation, as well as representations of massive amounts of multidimensional, unstructured data, must be evaluated in terms of their capabilities and limits. The proposed FVI-BD Framework for IOT device Information Extraction in Big Data. The unstructured data has cleaned and integration using POS tagging and similarity finding using LTA method. The features are extracted using TF and IDF. The Information extracted using NLP with WordNet. The classification has done with FVI algorithm. This research paper discovered that vast data analytics may be enhanced by extracting document feature terms with synonymous similarity and increasing IE accuracy.
Optimization Techniques For Low Energy Consumption In Green Cloud Computing
Authors: Sharma Himanshu , Joshi Vijay Kumar 
Published: September 2023

Computing in the cloud can assist businesses in shifting their focus to the development of solid business applications that will bring about genuine value to the businesses. Green computing, often known as environmentally sustainable computing, is the definition of green computing. It is a reference to the efforts that are made to maximise the usage of power consumption & energy efficiency while simultaneously minimising the cost & the amount of CO2 emission. To conduct a study on optimisation techniques & procedures that assist us in optimising low energy consumption & evaluating multiple parameters in order to obtain the desired output is the primary purpose of this research. Energy-Conscious Multisite Computation Offloading Techniques (EMOGC) for Green Cloud Computing is the methodology that was utilised throughout this project. Simulation & analysis are presented in The Energy-Conscious Multisite Computation Offloading Techniques for Green Cloud Computing in order to investigate time-efficient scheduling on multisite, which is responsible for optimising energy, time, & cost at the optimum time. This strategy seeks to finish the application within the allotted amount of time while also consuming as little power as feasible from the connected devices. According to the findings of this research, it is clear that the explored technique is effective in obtaining high throughput (HT) while simultaneously minimising the execution time, which in turn enhances the data rate in Green Cloud Computing (GCC).
Machine Learning Based Twitter Sentiment Analysis and User Influence
Authors: Krishna Ragini , C.M. Prashanth 
Published: September 2023

The use of social media platforms, such as Twitter, has grown exponentially over the years, and it has become a valuable source of information for various fields, including marketing, politics, and finance. Sentiment analysis is particularly relevant in social media analysis. Sentiment analysis involves the use of natural language processing (NLP) techniques to automatically determine the sentiment expressed in a given text, such as positive, negative, or neutral.
In this research paper, we focus on Twitter sentiment analysis and identify the most influential users in a given topic. We propose a methodology based on machine learning techniques to perform sentiment analysis and identify the most influential users on Twitter based on popularity. Specifically, we utilize a combination of NLP techniques, sentiment lexicons, and machine learning algorithms to classify tweets as positive, negative, or neutral. We then employ popularity calculations for each user to identify the top 10 most influential users on a given topic.
The proposed methodology was tested on a large dataset of US airlines tweets which is related to a specific topic i.e. airlines, and the results show that the approach can effectively classify tweets according to sentiment and identify the most influential users. We evaluated the performance of several machine learning algorithms, including Multinomial Naive Bayes, Support Vector Machines (SVM), Decision Trees, Gradient Boosting, logistic regression, AdaBoost, KNN and Random Forest, and found that the logistic regression algorithm has achieved the highest accuracy.
The proposed methodology has several implications for various fields, such as marketing, where sentiment analysis can help companies understand consumer behavior and tailor their marketing strategies accordingly. Moreover, identifying the most influential users can provide insights into opinion leaders in a given topic and help companies and policymakers target their messages more effectively.
Challenges on Missing Packet Detection or Packet Dropping Attacks in Mobile Adhoc Network -A Survey
Authors: Hemalatha S. , Pallathadka Harikumar , Chinhewadi Rajesh P. , Kalaiyarasi D. , Princy B. Anni 
Published: September 2023

Collection of wireless nodes forms together to communicate each other in the network without infrastructure less and any access point along with the characteristics of freedom in mobility is called Mobile Adhoc Network. Transmitting of packets from source to destination plays the vital role in MANET. When a Packet is not delivered properly at the destination , its affects the performance of the MANET. Due to this characteristics of the mobility nodes can subject to falls on the packet missing also the various packets dropping security attacks take part in the dropping the packets while communication to achieve the decreasing the performance of the MANET. This article focus on the survey about the missing packet assembly as well the packet dropping security attacks in MANET.
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.
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.
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.
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 (&#60;2mm, &#62;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&#60;0.03 for the relationship of KTW vs GB and GB vs RD and p&#60;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 &#60;2mm KTW, thin GB and deeper RD, which can be referred to as negative ternion, exhibited 43.8% mean RC while sites with &#62;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.
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.
The role of podoplanin in tumor-associated thrombosis
Authors: Savelyeva A. V. , Pishchulov K. A. 
Published: September 2023

Venous thromboembolism (VTE) is highly consequential for patients with cancer, it is the second leading cause of death in these patients. The literature describes several mechanisms leading to these complications. One of these is the interaction of podoplanin (PDPN), which is the subject of this article, with its receptor on platelets CLEC-2 (C-type lectin-like type II transmembrane receptor). This interaction leads to platelet activation and promotes hematogenous metastasis and thrombosis associated with cancer. Podoplanin is expressed in gliomas, squamous cell carcinoma, osteosarcoma by cancer cells, and it is also normally expressed in podocytes and lymphatic endothelial cells, but not in vascular endothelium. Thrombus inflammation initiates ectopic expression of podoplanin in vascular endothelial cells, which promotes thrombosis. It has been shown that podoplanin expression correlates with the incidence of VTE, as well as with cancer metastasis. Violation of the PDPN-CLEC-2 interaction may become a new direction in the development of drugs for the prevention of thrombosis for patients with cancer.