bluuebunny/crossref_metadata_2025 huggingface dataset:
Study of Breast Lumps in Females up to 40 Years of Age at Government Medical College, Nagpur
Authors: Kumbhalwar Sumit Ashok , Vaidya Payal Jaywant , Vaidya Makrand Jaywant
Published: January 2022

BACKGROUND Breast diseases have been known to mankind since ancient times. However, earlier it was a matter of taboo and embarrassment that meant detection and diagnosis were rare. But the involvement of more women and actively bringing out the disease into open is a recent phenomenon. Various types of lesions from inflammation to carcinoma can affect the breast. Lump in breast is the commonest complaint which the patient presents to the surgeon. Different aetiologies of breast lump need different lines of management. We wanted to study the clinical profile of patients up to 40 years presenting with a discrete breast lump, diagnose different pathological conditions causing them and also study different investigations used for diagnosis. METHODS The study was done from October 2013 to December 2015 on a total of 305 consenting patients attending surgery outpatient department and those patients admitted in wards at government medical college, Nagpur were up to 40 years of age with a complaint of a breast lump. Clinical profiles of patients up to 40 years of age presenting with breast lumps were studied along with different investigations for diagnosis and different treatment modalities. RESULTS The highest incidence noted was fibroadenoma (178) in 58.36 % of cases and the lowest incidence was of duct ectasia (3) in 0.98 % of cases. The incidence of fibroadenoma in married women was 46.06 % and in unmarried was 53.93 %. The lowest number of breast lump cases was found in the 10-20 yrs (59) age group and a maximum number of breast lump cases was found in the 21-30 yrs age group (140). Total 74 patients diagnosed with malignancy were the most commonly affected patients in the age group of 31 – 40 yrs. Out of 305 patients with a history of self detected lump 87 i.e. 28.52 % had mastalgia and 16 patients presented with nipple discharge. Ultrasound showed only their benign breast disease characteristic and the definitive diagnosis was not possible in them. CONCLUSIONS Rate of benign pathologies is comparatively much higher than malignant ones in young females; however, increasing trends of malignancy in this age group cannot be neglected. With the global trend towards an increase in the incidence of breast malignancy, for every patient with a breast lump, cytological / tissue diagnosis by an expert pathologist must be established, before a further line of treatment can be planned. KEY WORDS Fibroadenoma, Malignancy (CA Breast), OPD (Outpatient Department), Trucut Biopsy.
Pseudoangiomatous Stromal Hyperplasia Presenting as Gigantomastia - A Case Report and Review of Literature
Authors: Shabeer Nimi , G Krishna
Published: January 2022

Gigantomastia is a rare breast disease with massive bilateral enlargement of breast causing physical and psychosocial disability for the patient. Diffuse pseudoangiomatous stromal hyperplasia causing gigantomastia is a very rare presentation. We present a case of 45-year-old female with bilateral gigantomastia and cyclical mastalgia, who underwent bilateral mastectomy, postoperatively diagnosed with pseudoangiomatous hyperplasia. Gigantomastia is a rare condition characterised by excessive breast tissue growth resulting in massive enlargement of both breast. An arbitrary definition for gigantomastia is breast size more than 1.5 kg or when the breast tissue comprises 3 % or more of patients total body weight. Gigantomastia is accompanied by skin ulceration, postural problems, back pain, traction nerve injury and social stigmata. It is physically and psychosocially disabling for the patient. The aetiopathogenesis of gigantomastia is poorly understood, but generally classified as idiopathic, drug induced (penicillamine, cyclosporine) and due to hormonal imbalance (gestational and pubertal).1 Pseudoangiomatous stromal hyperplasia (PASH) is a benign mesenchymal proliferative disease of the breast which is usually an incidental finding accompanying other breast pathology like fibroadenoma, fibrocystic disease, breast cancer, gynaecomastia etc. It was first described by Vuitch, Erlandson and rosen (1986). Ibrahim et al. reported the occurrence of incidental microscopic PASH in breast specimens as around 23 %.2 Around 200 cases of PASH presenting as a tumoral palpable mass is there in literature. Another very rare and under recognised presentation is as diffuse PASH with bilateral or unilateral massive breast enlargement. Here we report a case of diffuse PASH with gigantomastia and a review of literature.
A Rare Case of Glioblastoma Multiforme in Association with Alkaptonuria and Ochronosis
Authors: Masaraddi Shivakumar K. , G. Sreenath
Published: January 2022

Glioblastoma multiforme is a primary brain neoplasm, consisting of a genetically and phenotypically heterogeneous group of tumours.1 The term glioblastoma multiforme (GBM) was introduced by Cushing in the second half of the nineteenth century, while the first operation on a patient suffering from this type of tumour was conducted in Vienna in 19041. Ninety percent of glioblastoma multiforme cases develop de novo (primary glioblastoma) from normal glial cells by multistep tumorigenesis.1 The remaining 10% of gliomas are cases of secondary neoplasm, developing through progression from low-grade tumours (diffuse or anaplastic astrocytoma’s), which takes about 4–5 years.1 Secondary glioma is diagnosed mostly in persons with the mean age of 39 years, grows more slowly and has a better prognosis.1 Glioblastoma multiforme, which develops de novo, grows within 3 months. 1 Although the genetic basis, as well as the molecular pathways underlying development of primary and secondary gliomas are different these two types show no morphological differences.1 Alkaptonuria is an ultra-rare (1:250.000–1.000.000 incidence) autosomal recessive inborn error of catabolism of the aromatic amino acids’ phenylalanine and tyrosine due to a deficient activity of the enzyme homogentisate 1,2-dioxygenase. This leads to the accumulation of homogentisic acid (HGA, 2, 5- dihydroxyphenylacetic acid).2 HGA oxidizes to benzoquinone acetic acid (BQA), which in turn forms melanin-based polymers, deposited in the connective tissue of various organs, causing a pigmentation known as ochronosis, leading to dramatic tissue degeneration. 3 A severe form of arthropathy is the most common AKU clinical presentation.4
Entre a lei da pólis e a lei da consciência
Authors: Da Silveira José Renato Ferraz , Pozzatti Jr. Ademar
Published: January 2022

Nas tragédias de Sófocles, os personagens são responsáveis por seu destino: a Fortuna atua, mas os heróis concorrem para que o mesmo se cumpra e se realize. A tragédia de Antígona, encenada em 441 a.C, revela a escolha livre que a protagonista tomou como resolução: apesar do édito proibitório de Creonte, resolve, embora sabendo que vai morrer por dar sepultura a seu irmão Polinice. Percebemos, portanto, a oposição de duas normas jurídicas: athemistía, a ilegalidade de uma decisão representada em Creonte, que representa uma pólis especial, a pólis sofística, em contraposição a thémis ou nómos, inserida na decisão de Antígona. Sob tal embate, o presente artigo procura analisar juridicamente a obra Antígona. Buscamos compreender a luta entre o direito natural e positivo.
Prognóstico do processo de privatização da Companhia Riograndense de Saneamento (CORSAN) Aspectos históricos e uma comparação com o cenário latino e europeu
Authors: De Carvalho Teixeira Branco  Filho Thelmo , Savaris Cortelini Millene , Ferreira Claudio Thaís , Bembom dos Santos Brião Ricardo , Inácio da Silva, Elisa , Feijó Teixeira Gabriel , Beatriz Camargo Julia , Bartz Isadora
Published: January 2022

Este artigo é desdobramento de um estudo que está em processo de investigação por integrantes de um grupo de pesquisa da FURG/FADIR, que tem como projeto guarda-chuva a discussão desse tema. A problemática sugerida gravitará em torno da análise da vulnerabilidade social dos municípios que compõem a Bacia Hidrográfica da Lagoa Mirim e Canal São Gonçalo (L-040), no que se refere aos aspectos positivos e negativos de uma possível privatização da CORSAN. Assim, o principal escopo deste estudo é evidenciar os impactos da iniciativa privada no setor do saneamento básico, sobretudo no abastecimento de água e esgotamento sanitário, mas sem deixar de analisar os outros dois pilares, sendo eles a drenagem urbana e os resíduos sólidos. A proposta é trazer comparações deste fenômeno tanto em âmbito latino quanto europeu. Para que esse estudo seja concretizado, utilizar-se-á da metodologia da matriz FOFA, pontuando as forças, as fraquezas, as oportunidades e as ameaças, à luz do Novo Marco Legal do Saneamento, provendo-se, assim, uma avaliação do processo de privatização da empresa CORSAN e as prováveis consequências dessa atividade.
ENGENHARIA DO CURRÍCULO: A EDUCAÇÃO FÍSICA NA ARTICULAÇÃO CURRICULAR COM A EDUCAÇÃO INFANTIL
Authors: Zandomínegue Bethânia Alves Costa , Barbosa Raquel Firmino Magalhães , Guimarães Vanessa
Published: January 2022

Analisa os desafios e as possibilidades para a materialização do currículo articulado com a Educação Física na Educação Infantil, a partir do diálogo com diferentes linguagens, áreas do conhecimento e sujeitos da comunidade escolar. Utiliza a Pesquisa-Ação Colaborativa com atenção para as relações construídas com a equipe pedagógica, as professoras de sala, as famílias, as crianças, os bolsistas do Programa de Iniciação à Docência, a professora de Educação Física e a pesquisadora. Os dados oriundos de fotos, entrevistas, narrativas e diário de campo foram submetidos a um processo de análise interpretativa e articulados em uma rede de produção de sentidos e significados. Conclui que as mediações com a cultura popular, o Projeto Institucional e o Plano de Ação da Educação Física se constituíram engrenagens essenciais para a materialização de uma engenharia do currículo. Como entraves destaca a resistência de algumas docentes ao trabalho colaborativo.
REPENSANDO A EDUCAÇÃO FÍSICA “NA” EDUCAÇÃO INFANTIL: ESTABELECENDO O “COM”
Authors: De Siqueira Farias Uirá , Massoli Rodrigues Graciele
Published: January 2022

Por essas linhas narro momentos de reflexão e construção de um ser professor “COM” as crianças da Educação Infantil. Vinte e seis crianças de cinco anos, duas pedagogas, um professor de educação física e eu, professor-pesquisador que sou, desenhamos e descobrimos nossa escola com Práticas Político-Pedagógicas possíveis e viáveis na Educação Pública, que estão aqui contadas por um fragmento de autoestudo. Dialogar dentro da escola nunca foi e é tarefa fácil; rever a própria prática pedagógica também não, mas para se alcançar uma educação emancipadora é necessário que todos/as sejam convocados a construírem juntos uma escola mais bonita, alegre e que transborde curiosidade epistemológica.
PERSPECTIVAS DE PROFESSORES ESPECIALISTAS SOBRE O ENSINO DA EDUCAÇÃO FÍSICA NA EDUCAÇÃO INFANTIL
Authors: Cesar de Lucca Junior Julio , Nunes Souto Ramos Glauco
Published: January 2022

O objetivo do presente trabalho foi analisar as perspectivas de docentes de Educação Física sobre o ensino deste componente curricular na educação infantil da rede municipal de ensino de São Carlos/SP. A pesquisa qualitativa utilizou, como instrumentos de coleta de informações, questionário e entrevista semiestruturada com professores de Educação Física que ministravam aulas na educação infantil na rede pública em questão. Os dados foram analisados qualitativamente e através deles observamos que a Educação Física na educação infantil no município pesquisado apresenta distintos modos de ensinar e que, apesar de os professores assinalarem o preparo para a docência, percebemos por parte de alguns deles a falta de clareza ao distinguir e conceituar elementos essenciais para esse exercício. Destacamos a relevância de estudos desta natureza em prol de melhor circunscrever e potencializar as características do ensino da Educação Física na educação infantil.
USOS E APROPRIAÇÕES DAS DANÇAS POPULARES NA EDUCAÇÃO INFANTIL DE VITÓRIA/ES
Authors: Bolzan Érica , Martins Rodrigo Lema Del Rio , Mello André da Silva
Published: January 2022

Analisa os usos e as apropriações que os dinamizadores de Artes e Educação Física fazem das danças populares na Educação Infantil de Vitória/ES. Utiliza o método descritivo-interpretativo, com a aplicação de questionários para 24 docentes que atuam nos Centros Municipais de Educação Infantil (CMEIs). Os resultados apontam que os dinamizadores fazem diferentes usos destas danças em seus cotidianos, em estreita articulação com os projetos institucionais dos CMEIs. Contudo, são poucas as mediações que valorizam as agências das crianças, pois as danças populares estão mais presentes nos momentos de apresentações do que ao longo do ano letivo. Dentre os fatores que dificultam o trabalho com as danças populares, sobressai a questão da religiosidade, pela crença de que a prática dessas manifestações evoca a devoção. Conclui-se que as danças populares se apresentam como conhecimentos potentes para tematizações e reflexões sobre as questões étnico-raciais nas instituições infantis.
Sustainable Competitive Advantage in the Tourism Industry with IT Managerial Resources, IT Implementation Success and Social Responsibility
Authors: Qamariah Inneke , Muchtar Yasmin Chairunisa , Maas Linda Trimurni
Published: January 2022

This research to analyze the influence of Information Technology managerial resources and Information Technology implementation success on sustainable competitive advantage. Moreover, the research aims to analyze the influence of Information Technology managerial resources and Information Technology implementation success on sustainable competitive advantage moderated by social responsibility. The sample of this research is the owner or manager at Micro and Small Medium Entreprises in tourism industry around the area Samosir Island. Before Pandemic Covid-19, about 215 MSME tourism were existing, which were established more than 1-year period. During the Pandemic, only 73 managers or owners were willing to answer the questionnaires. The data analysis using SmartPLS software. The findings of this research is IT Managerial Resources has impact on Sustainable Competitive Advantage and IT Implementation Success have impact on Sustainable Competitive Advantage. It is also found that Social Responsibility is significant as a moderator in the relationship between IT Managerial Resources and Sustainable Competitive Advantage. Lastly, Social Responsibility is significant as a moderator. This research limitation/implication was designed before the Pandemic Covid-19 condition. Therefore, there is a significant decreasing number of samples in data collection. Because the tourism industry is one of the industries that has suffered the biggest losses due to Covid 19, many tourism companies cannot survive, especially the Micro and Small Medium Entreprises. This research enrich the study about tourism industry which focuses on the social challenge and technological challenge to improve the sustainable competitive advantage in the area of Samosir Island.
Recognizing Entrepreneurial Opportunity on Women SMEs Entrepreneurs in Medan
Authors: Qamariah Inneke , Muchtar Yasmin Chairunisa
Published: January 2022

Negative impact on women's capacity to establish and grow businesses in comparison to their male colleagues. According to the findings of this study, female-owned SMEs may have a distinct entrepreneurial orientation that enhances their company performance through network affiliation, which influences their business performance in some elements of social capital and human capital. The small, medium, and micro entrepreneurs in Medan are the focus of this study. Path analysis is a data analysis technique. The goal of this study is to investigate the influence of human capital and social capital on women entrepreneurs' perceptions of entrepreneurial opportunities in Medan as mediator of business performance.
Impact of the Disclosure of Forward-Looking Information in Firm Value: A Case Study at Asiacell
Authors: Abdullah Sabaa Mahmood , Hussein Mustafa Mohammed
Published: January 2022

The research aims to measure the effect of the level of disclosure of Forward-Looking information on the value of the company, and address the annual financial reports of Asiacell Communications for the period from (2013) to (2018), The research relied on simple linear regression and correlation analysis to determine the relationship and effect between research variables through the use of the SPSS statistical program, The research found that there was no significant relationship between the level of disclosure of Forward-Looking information and the value of the company in the annual reports of the research sample company, And the low level of disclosure of Forward-Looking information during the search period, The research recommended the necessity to urge the companies listed on the Iraq Stock Exchange to go towards disclosing future information because of its importance in rationalizing investment decisions, And the necessity of conducting more research and studies on factors affecting the value of the company and maximizing it.
Compulsory Reading Materials in the Language Politeness Text-based School Literacy Movement
Authors: Setiyadi Dwi Bambang Putut
Published: January 2022

The objective of this present research is aimed at understanding the forms of language politeness that may used as the reading materials in the School Literacy Movement (henceforth, SLM) and planning the implementation of the language politeness-based reading materials application as an effort to grow Junior High School Students’s characters. It is a descriptive qualitative research. The techniques of the data collections adopted were literature reviews, in-depth interviews, and recording. In the data validity, data, researchers, and methodology triangulation techniques were employed. The data analysis technique in the form of texts were analyzed using the interactive model. The research results showed that the forms of the language politeness that should be used as the reading materials in the activities of the SLM implementation may be chosen from Leech’s language politeness which has been adapted to the politeness existing in Indonesia. The implementation of the language politeness-based reading materials application intended to grow Junior High School Students’s characters is obligatory. The implementation was done through stages according to the SLM program, starting from habituating reading activities for 15 minutes before the class began. At Junior High School level, the students were introduced to materials the teachers had chosen. Then the length of the reading activities was gradually improved. The students should understand the reading materials of the politeness in a certain period of time, then the materials were practiced in the form of simulation.
PACS.i - A Complexity Theory based Framework for Battle Management
Authors: Joshi Ravindra V , N. handrashekhar
Published: January 2022

A Platform based on Complexity Theory will consist of domain specific framework, dynamics, and systems. PACS.i is a framework through modern combat missions can be conveniently managed. PACS stand for Planner, Analyst, Commander and Soldier. While Planner and Analyst define pre and post battle view, soldier models frog’s view of combat in execution and commander bird’s view of same. These roles should handle Population, Spatial, Temporal and Causal dynamics (with their sub-classes). Also four types of Systems - regular, complex, chaos-based and stochastic can realize these architectures with varied benefits and losses. This paper explores the relation between roles, dynamics, and systems. PACS.i framework is result of synergy between all three of these.
The Role of the Postgraduate Institute for Accounting and Financial Studies for Providing Graduates that Can Improve the Performance of the Board of Supreme Audit and Reduce Government Spending Costs for the Period 2004-2020
Authors: Hamd Dr. Basheer Alwan , Aziz Dr. Parzheen Sheikh Muhammad , Hamdan Dr. Nabeel Farhan
Published: January 2022

Institutions, institutes and colleges of higher education are the first pioneers for the outputs of specialized medical, engineering and social cadres, including accounting cadres. The Higher Institute for Accounting and Financial Studies is the Department of Accounting Studies, the main tributary for the preparation of specialized professional cadres holding a legal accounting certificate and a certificate of costs and administration, which is the highest specialized professional accounting certificate in the field Auditing and costing. The importance of these specialized cadres comes from the two certificate holders to provide the Federal Financial Supervision Bureau with these specialized accounting professional cadres for the purpose of monitoring government spending and calculating costs in productive institutions and cost and benefit in service institutions in the public and private sectors to monitor the achievement of political and social objectives of government public spending and private spending. The research investigated the study of the problem of the low percentage of the number of graduates of the Accounting Studies Department in the Legal, Cost and Administrative Accounting sub-section compared to the number of bodies and employees, which reduces the ability of the Federal Financial Supervision Bureau to follow local and international auditing standards in the pressure of public expenditures to achieve the political and social objectives of the public budget. The research reached the most important recommendations: 1. Increasing the number of legal, cost and administrative accounting graduates in the Office of Financial and Federal Supervision. 2. Developing cost-benefit and cost-benefit studies in auditing government agencies and institutions in the public and private sectors in accordance with international standards.
Systematic Survey to Investigate Smart Home Pre-Adoption Issues to Improve Elderly People’s Quality of Life
Authors: Shnain Ammar Hameed , Hussain Azham
Published: January 2022

Smart home solutions based on the internet of things (IoT) can improve quality of life management. However, there is a dearth of comprehensive literature that can help researchers and practitioners better comprehend why older adults accept or reject smart home services. These users represent a significant hurdle in the successful implementation of smart home services. Therefore, this study’s primary objective was to provide a concise, systematic review of current issues in the pre-adoption of smart home services for the elderly. In addition, factors that impact the intention of the elderly on IoT-based smart home services (SHS-IoT) pre-adoption were also examined. A total of 705 initial papers on smart homes for the elderly were found across credible scientific databases. Out of these papers, 30 publications met this study’s inclusion criteria for the final review. The findings revealed that older adults’ attitudes towards smart homes are positive, particularly for safety/security monitoring and independent assisted living. Besides, the lack of well-defined information theories exists in the literature on the use of smart home services by the elderly. Additionally, several challenges currently faced hindering the pre-adoption of smart home services and how future research could better understand the perspective of older adults to choose a suitable benchmark are presented in this paper.
A Scheme for Predicting Energy Consumption in Smart Cities Using Machine Learning
Authors: Alghamdi Noof Awad , Budayr Israa Mohammed , Aljehani Samar Mohammed , Aborokbah Majed Mohammed
Published: January 2022

Fluctuating result on weather condition throughout several decades became a global concern due to the direct or indirect effect on energy consumption, and that was well-defined in several sector. Research investigates the use of technology and the speed of obtaining information ، which helps in decision-making. This paper Emphasize the role of data science and their application to monitoring energy consumption, also, explain the importance used and challenges of Internet of Things (IoT). Thus, there is a global concern on data transformation from IoT devices when taking into account deferent weather variations. Cities are a critical part when of energy management, it presents the effect of urbanization and some of the success achievement in several cities around the world. Our Analysis indicate that three dissimilar types of sensors can detect massive amount of information up to four hundred thousand rows, compared to traditional methods for collecting data. The results depict the resilient of IOT performance which provide an aggregate of measures reach around 405,184 rows in a record time, with achieved accuracy up to 99% when implementing the decision tree algorithm, the outcome after applying the algorithm was vary 27.60 per-cent recorded by the first device while the other devices scored 26.14%,46.26% respectively, throughout different circumstances with continuous reading in a short period of times around 8 days.
An Intrusion Detection System in IoT Environment Using KNN and SVM Classifiers
Authors: Alfarshouti Abdulmalik M , Almutairi Saad M
Published: January 2022

IoT applications are now used in most applications in this world to facilitate data collection and remote and automatic management of all modern devices. Due to the large spread of these devices in multiple regions, they become easily vulnerable to penetration by many types of attacks. This research will focus on network layer denial of service (DOS) attacks to detect. This type of attack was chosen because of its danger to the availability of services, such as e-commerce services, financial and government services, as well as educational organizations. Failure to provide these services frequently leads to huge financial losses in addition to loss of confidence in these organizations. Machine learning techniques will be used in the proposed research to detect these attacks in a fast and efficient manner.
Operational Skills Reality to Diagnose and Measure the Characteristics of the Learning Organization: Analytical Exploratory Research of the Opinions of a Sample of Teaching Staff in Al-Furat Al-Awsat Technical University
Authors: Al-Saidi Dr. Muayad , AL-Hisnawi Salih M. , Alwan Bushra M. , Al-Thahab Osama Qasim Jumah
Published: January 2022

The purpose of the research is to test the applied reality of technical education organizations whether they are learning organizations or traditional organizations repeating past experiences and practices. The research is applied to a sample of academics who practice education and training in the targeted organizations with a sample strength (173) teaching surveying their opinions through a questionnaire designed to detect the dimensions of learning organizations, the Readiness Statistical Program (SPSS) was used and scientific statistical tools were used for analysis and statistical processing. The results of the research indicates that the target organizations are much closer to describing learning organizations as they advanced the dimensions of the scale. except for the decline of the sub-dimension, the flexibility of the reward and internal system will change.
Comparison of Sentiment Analysis on Online Product Reviews Using Optimised RNN-LSTM with Support Vector Machine
Authors: J. Sangeetha , U. Dr. Kumaran
Published: January 2022

Using sentiment analysis, opinion mining examines the emotional tone and polarity of text (positive, neutral, or negative), as well as the sentiment polarity of text. With the rise of online information, sentiment analysis of customer evaluations has become a hot topic among machine learning researchers. Review texts for products online express a wide range of feelings and thoughts. By using natural language processing tools on the Internet, it will be possible for natural language processors to extract useful information from online reviews by performing sentiment analysis. It assigns polarity to a positive or negative entity or item. From the product reviews collected on Amazon, we conduct a Sentiment Analysis. As a result of asymmetrical weighting, we feed our feature words to support vector machine classifiers as well as Recurrent Neural Networks-Long Short Term Memory (RNN-LSTM)-optimised methods for determining the sentiment direction of reviews.
Method of Detecting Resource-intensive Inquiries to Databases of Agro-industrial Resources Geo-ecological Monitoring Systems
Authors: Jameel Jalal Qais , Mahdi Tareq Nasser , Kuzichkin Oleg R , Polshchykov Konstantin А. , Lazarev Sergej А , Polshchikov Ilya К.
Published: January 2022

This article aims to achieve more efficient automated software systems use in the geo-ecological monitoring of agro-industrial sector resources. A method of detecting resource-intensive inquiries to agricultural resources databases is developed. Self-Organizing Map is used for clustering inquiries to databases in the method. Additionally, an algorithm is proposed to discover resource-intensive inquiries and the corresponding software. The performance evaluation demonstrates that the suggested method considerably increases the correctness of detecting resource-intensive inquiries to databases compared to other counterparts. Accordingly, in geo-ecological monitoring of agricultural objects and resources, the method is recommended for practical application.
Impact of Competency Management on Employee Self-development for Retention in Large Scale Industries
Authors: Venkat Vuppalapati Vijaya , S. Roohi Kursheed Khan
Published: January 2022

An organization which grows with the employees of long-time existing will create a historical success story. The creation of emotional bonding between employee and employer is the significant role of HR in a company. The automobile industry is India’s one of the largest sectors and placing a fourth largest market globally. Employee retention is very mandatory in the automobile industry because of competitors, day-to-day innovations, and migrant employees. This study is specially focused on the influence of competency assessment and employee self-development for workplace happiness among 72 Managers and 95 Engineers of various automobile companies & ancillary companies in India. Statistical analysis is carried using the statistical tool IBM SPSS 20. The outcome of the study insists that reward programs, promotions, and self-development programs must be organized regularly. The study concludes that competency assessments and self-development have a strong positive impact on workplace happiness, leading to employee retention.
The Impact of Entertainment Amenities Availability on Hotel's Performance
Authors: Sundram Suja , V. Dr. Ramesh Kumar , K. Dr. Binith Muthukrishnan , Naved Dr. Mohd , Dani Dr. Rakesh , Khatri Dr. Eti
Published: January 2022

Hospitality should recognize various practices to enable itself, some of which may be the entertainment and installations that run a magical atmosphere to inspire individuals internally and externally by giving a successful service and joyous experience to increasing and improving this sector in resorts. These companies are vulnerable since they purchase commodities, rely on more than tangibles intangible goods and influence may be literally by some dispute or problem such as workers, clients, inventions, or culture, which interconnects these components. The hospitality field includes restaurants, accommodation, resorts, fun parks, festivals, cruises, entertainment, and other internal and external tourist facilities. Firms and clients, staff, and markets have a significant effect. The research implemented a mixed approach throughout conducting interviews with different managers in Hotels, and the survey's distribution has been over 100 respondents for data collection, using the SPSS statistical tool. The results proved a direct relationship among the research variables.
Analysis of Patients Data Using Fuzzy Expert System
Authors: AL-Mafrji Ahmad Abdullah Mohammed , Mohammed Ahmed Burhan
Published: January 2022

Many problems are facing many developed and developing countries in the medical field, and the most important of these problems is the analysis and diagnosis of patient data for government and private hospitals. This is due to the lack of experience of medical staff, especially new ones, which affects the provision of correct medical services to patients. It is no secret that these countries are making great efforts to overcome these problems. The study focuses on the use of a fuzzy expert system to analyze patient data based on (age, type of review) to reach the result of the analysis (intensive care, medium care, no care) and this system helps to give advice and good analysis of patient data, which can increase the speed of gaining experience for new and inexperienced medical staff in this field.
A Combining AI Algorithm for the Restoration of Damaged Cultural Properties
Authors: Lee Byong Kwon.
Published: January 2022

Through the research of numerous researchers’ artificial intelligence imitates human language and visual expression with good performance and imitates human style in voice and picture. This ability although dependent on the data for learning artificial intelligence is more objective and based on numerical data than humans. We applied it to the restoration of cultural assets made in the past through artificial intelligence neural networks and we applied a general CNN a little differently for the purpose of restoration. Cultural properties contain various backgrounds from the era when they were created and for this reason there are many complications and difficulties in restoration. If it is simply regarded as noise and recovered the result is dependent on the learned data. To solve this problem the CNN was separated into full and detailed and the association was learned together and the damaged part was repaired through a generative competition network (GAN) based on this neural network. We trained a neural network that extracts visual features on a Korean "Pagoda" (mostly produced under the influence of Buddhism) and conducted a study to repair the damaged part based on the trained neural network. The features of the tower were extracted through a CNN-based neural network and the damaged part was repaired through a Generative Adversarial Network (GAN) based on the extracted features. It is thought that our research will be actively used for the restoration of cultural assets as well as the restoration of archaeological records in the future.
Smart Parking Management System Using AI
Authors: Jung In Hwan , Lee Jae Moon , Hwang Kitae
Published: January 2022

This paper is aimed to introduce a smart parking lot management system using multiple cameras and artificial intelligence technique. When a vehicle enters a parking lot, it recognizes the vehicle number using embedded camera, tracks which parking space the vehicle is parked in, and updates parking space information. In addition, using a surveillance camera images, it has been also implemented to detect collision accidents that may occur while the vehicle is moving in the parking lot. Vehicle number recognition system uses OCR technique and is implemented on a Raspberry system. By managing the vehicle number recognized at the entrance of the parking lot as an Object ID, it was possible to effectively track the vehicle as a moving object inside the parking lot and finally identify the parking location. In order for accident detection, YOLO with CNN deep learning process is used. More than 500 possible collision images are trained in advance. Experimental results show that the detection accuracy of parking and accident detection increases as the number of training images increases. The accident detection needed more training images because it has more diversity. By using the smart parking system implemented in this paper, it is possible to effectively manage the vehicle's parking location, free space information and possible accidents. Using a cloud system, implemented system can provide drivers an integrated parking lot information over large areas.
Studies on Reflection Hologram Technology Applied Miniature Hologram Types
Authors: Song Eun S. , Kim Byung K. , Hong Sung D.
Published: January 2022

Miniature holograms are frequently used for exhibition as pyramid shape. But there is a lack of studies on holograms with various shapes. This study aims to learn about the shapes of miniature holograms where reflection floating hologram technologies are applied. By analyzing the floating hologram types, it aims to verify that the reflection type of floating hologram is suitable for miniature hologram implementation and study suitable types of reflection miniature holograms that are not pyramid shapes. Apart from the pyramid shape hologram frequently used for exhibition, the author studies cone, semi sphere and cylindrical shape holograms and forms them in a vertical structure to support expansion of the screen showing the image. Reflection type f hologram posed light scattering problems in the past, but by attaching a polarization filter to the screen, the effect of light scattering is minimized. A vertical type of hologram causes distortion of image depending on the visual angle of the viewer. In the future, if it is possible to minimize the image distortions, it would be possible to implement expanded shapes.
A Comparative Study of the Performance of Load Balancing Algorithms Using Cloud Analyst
Authors: Ahmad Abdulnasir Younis , Hammo Asmaa Y.
Published: January 2022

Cloud computing technology has grown and expanded widely in recent years. Cloud computing is a distributed system that may be on physical or virtual machines. Because of the ease of working in the cloud, its ease of use, it's being an interactive model and a highly profitable business model, many users have used it. This led to an increase in the load on it, and thus the overload has become a problem that must be solved. Many algorithms have been proposed to balance the load on cloud. The essential are three: Round robin, Equally Spread Current Execution (ESCE), and Throttled. This research investigates the performance of those algorithms with increasing of number of users. Previous researches did not take into account the increasing of users. CloudAnalyst simulation tool is used for this comparison. The comparison is done according to DC (Data Centre) processing time, overall total response time (ORT), processing cost, and hourly data center. It was found that initially with a certain settings and for a certain number of users, there may be no difference that can be mentioned in performance between the three algorithms. Then the improvement in performance increases with the increasing number of users. Throttled algorithm showed best performance in the average of ORT with increasing number of users.
The Study on Impact of Green HRM Practices on Organization Sustainability from Employee Perspective with Special Reference to Automotive Industries in Chennai
Authors: G. Dr. Kumar , A. Dr. Anbu , J. Saranya
Published: January 2022

Organizational Sustainability means, to be sustainable the organization has to maintain the capability and to increase the profitability, performance, improve employees and as well as customer satisfaction. The need of the paper is to study the GHRM (Green Human Resources Management) practice factors like Green HR Planning, Green job Design and Analysis, Green Recruitment and Selection, Greek Employee Relations, Green Training practices impact on Organizational Sustainability from employee perspective with special reference to automotive industries in Chennai. The descriptive type research methodology is used for the study. The purposive sampling technique adopted for the study. The sampling size taken for the study is 209.The online questionnaire were used to collect the primary data. The secondary data were collected journal articles, business magazines and web contents and industry report, government reports. The statistical technique used for the study is regression analysis, correlation analysis, percentage analysis and SEM Analysis. The findings reveals that the Green Human Resources Management practices factors Green HR Planning, Green job Design and Analysis, Green Recruitment and Selection, Greek Employee Relations, Green Training practices significantly impacts Organizational Sustainability of automotive industries in Chennai. The study helps the HRM policy makers to design effective HRM policies and procedure.
A Study on Investor’s Preference towards Stock Market - Special Reference to Chennai City IT Employees
Authors: T. Dr. Velmurugan , G. Dr. Kumar , K. Shriya
Published: January 2022

Stock markets functioning important role in developing countries. It is functioning as intermediate between the investors and the corporates. Investors have differing needs, and for each investor failure to meet those needs poses a risk. Falling short of the nest eggs or amount required for a particular goal is one of the major risks but also returns, failing which he or she could face the risk of outlive his or her investments. The trade-off between risk and returns is the most absorbing and challenging job for most investors. Investor’s perspective there are various investment options are available even though stock market is one of the most preferred investment destinations for maximum of the investors because high return as well as high risk as the concept in financial management. The purpose of the study is to identify and evaluate the investor to make right investment decision. The methodology perspective samples have been used purposive sampling techniques and the target audience are IT employees in Chennai. The primary data have been collected through structured questionnaire & secondary data through research papers, journals. The dependent and independent variables used for the study are stock market investor’s expectation, objectives, risk perception, influencing factor, preference which influences the decision. The findings of the study identified that financial constituents have direct relationship which influences the stock market investors. The result of the study gives an understanding in a better perspective to how and what are the factors influence an investment drive to be a sustainable decision.
Driving Active Contours to Concave Regions
Authors: Mosa Qusay O. , Alfoudi Ali Saeed , Brisam Ahmed A. , Otebolaku Abayomi M. , Lee Gyu Myoung
Published: January 2022

Broken characters restoration represents the major challenge of optical character recognition (OCR). Active contours, which have been used successfully to restore ancient documents with high degradations have drawback in restoring characters with deep concavity boundaries. Deep concavity problem represents the main obstacle, which has prevented Gradient Vector Flow active contour in converge to objects with complex concavity boundaries. In this paper, we proposed a technique to enhance (GVF) active contour using particle swarm optimization (PSO) through directing snake points (snaxels) toward correct positions into deep concavity boundaries of broken characters by comparing with genetic algorithms as an optimization method. Our experimental results showed that particle swarm optimization outperform on genetic algorithm to correct capturing the converged areas and save spent time in optimization process.
Relationship between Exchange Rate and the Current Account of the Balance of Payments: A Study in Oil Countries Selected
Authors: Shlaymoon Najlah Shamoon , Jassim Abeer Mohammed , Albairmani Ali Mahdi Abbas
Published: January 2022

The exchange rate is the pillar that links domestic and foreign monetary transactions. The exchange rate affects many variables of the economy, and it also affects the market for goods and services. Its rise can lose the competitive advantage of export energy, and consequently the loss of the economic surplus in the production sectors. The hypothesis of the study that the exchange rate adversely affects the current account of the balance of payments, which leads to the economy losing the opportunity cost of the recovery of the local economy. The problem of the study is that the stability of the exchange systems in the oil countries weakens the market mechanisms, and thus the possibility of market forces to reach a state of equilibrium in the long term, and that the inverse relationship between the exchange rate and the current account will expose the local economy to great damage. The aim of the study is to measure the impact of the exchange rate on the current account in some oil countries. The study sample countries (Malaysia, Egypt and Iraq), the study period (2005-2018), the study concluded that the effect of the exchange rate on the current account was inverse in all countries, but the effect was stronger in Malaysia, and the study recommended taking into account the conditions of the real economy, and support the system Flexible exchange because of its advantages in the local markets.
Taxation as a Strategy for Circular Economy through Sustainability Reporting: The Agency Theory Perspective
Authors: Alfatlah Hussein , Othman Rafidah , Basiruddin Rohaida , Almagtome Akeel
Published: January 2022

Greenhouse gas emissions and energy usage have grown because of increasing awareness of sustainability reporting, more concerns about climate change, and new laws and levies. Audit committees, management, internal auditors, external auditors, and other stakeholders may all have a role in sustainability reporting. This article examines the potential impact of agency cost (AC) from a tax perspective on sustainability reporting (SR) in a global context. This study uses data from 693 companies from 54 countries. This study uses its model to estimate the interaction of AC and GRI to assess SR. The results show that the lowest tax rate is in the countries of the Middle East and Africa. Egypt, Iraq, Jordan, Estonia, Tanzania, and Burkina Faso recorded the lowest disclosure rate. These results reflect that taxes describe the reporting of sustainability information. This study provides a new perspective on AC; Also, the results add to our understanding of other predictors of SR quality that demonstrate more explicit approaches to predicting its efficiency. Finally, the article presents some conclusions, as well as more research possibilities. Our findings point to the need for effective monitoring. According to agency theory, there is no single explanation that thoroughly explains our results.
Enhanced Transaction Confirmation Performances without Gas by Using Ethereum Blockchain
Authors: B. Sriman , S. Ganesh Kumar
Published: January 2022

Blockchain is the distributed decentralized application for developing many of the use cases. In blockchain, the applications are transparent to all the nodes in the decentralized network and the application may be private or public depends upon the use cases. The nodes in the distributed network shares all the data to the other nodes without any modification in the blockchain technology. The transaction by the node is secured through the digital signatures. In this paper, we implemented the application by confirming the transaction without paying the gas fee by deploying the smart contract. The solidity is a JavaScript programming language for writing our smart contract. We explained the gas optimization technique used by the users and the gas station network in a decentralized application and also explained about the parameters in the Ethereum transactions. We used the open zeppelin library, which allows us to run our 𝐷𝑎𝑝𝑝 to implement the gasless transaction.