bluuebunny/crossref_metadata_2025 huggingface dataset:
Emotional Word Use in Informal Carers of People Living With Dementia: Linguistic Analysis of Online Discussion Forums
Authors: Donnellan Warren James , Warren Jasmine Grace
Published: March 2022

Background

Informal dementia care is uniquely stressful and necessitates effective methods of identifying and understanding the needs of potentially at-risk carers so that they can be supported and sustained in their roles. One such method is examining carers’ engagement in online support platforms. Research has explored emotional word use on online discussion forums as a proxy for underlying emotional functioning. We are not aware of any research that has analyzed the content of posts on discussion forums specific to carers of people living with dementia in order to examine their emotional states.

Objective

We addressed the following research questions: (1) To what extent does emotional language use differ between carers of people living with dementia and noncarers? (2) To what extent does emotional language use differ between spousal and parental carers? (3) To what extent does emotional language use differ between current and former carers?

Methods

We used the Linguistic Inquiry and Word Count (LIWC) program to examine emotional word use on a UK-based online forum for informal carers of people living with dementia and a discussion forum control group. Carers were separated into different subgroups for the analysis: current and former, and spousal and parental.

Results

We found that carers of people living with dementia used significantly more negative, but not positive, emotion words than noncarers. Spousal carers used more emotion words overall than parental carers, specifically more negative emotion words. Former carers used more emotional words overall than current carers, specifically more positive words.

Conclusions

The findings suggest that informal carers of people living with dementia may be at increased risk of negative emotional states relative to noncarers. Greater negativity in spousal carers may be explained by increased caregiver burden, whereas greater positivity in former carers may be explained by functional relief of caregiving responsibilities. The theoretical/applied relevance of these findings is discussed.
Perceptions of In-home Monitoring Technology for Activities of Daily Living: Semistructured Interview Study With Community-Dwelling Older Adults
Authors: Camp Nicola , Johnston Julie , Lewis Martin G C , Zecca Massimiliano , Di Nuovo Alessandro , Hunter Kirsty , Magistro Daniele
Published: March 2022

Background

Many older adults prefer to remain in their own homes for as long as possible. However, there are still questions surrounding how best to ensure that an individual can cope with autonomous living. Technological monitoring systems are an attractive solution; however, there is disagreement regarding activities of daily living (ADL) and the optimal technologies that should be used to monitor them.

Objective

This study aimed to understand older adults’ perceptions of important ADL and the types of technologies they would be willing to use within their own homes.

Methods

Semistructured interviews were conducted on the web with 32 UK adults, divided equally into a younger group (aged 55-69 years) and an older group (≥70 years).

Results

Both groups agreed that ADL related to personal hygiene and feeding were the most important and highlighted the value of socializing. The older group considered several activities to be more important than their younger counterparts, including stair use and foot care. The older group had less existing knowledge of monitoring technology but was more willing to accept wearable sensors than the younger group. The younger group preferred sensors placed within the home but highlighted that they would not have them until they felt that daily life was becoming a struggle.

Conclusions

Overall, technological monitoring systems were perceived as an acceptable method for monitoring ADL. However, developers and carers must be aware that individuals may express differences in their willingness to engage with certain types of technology depending on their age and circumstances.
Educating Students in Better Campus Environment in the Vision of Human - Environment System
Authors: Pan Yi , Li Xu
Published: March 2022

College is a major venue to shape high-calibre talents, and campus environment plays a critical part in this regard. The author, in the perspective of Human - Environment System, gauges the connotation of campus environment and how it affects the shaping of college students, and studies how to enhance campus culture with scientific outlook to send high-calibre graduates to the country.
Teachers’ Attrition and It’s Impact on School Performance: A Case STUDY ON Wag Seyoum Admasu General Secondary and Preparatory School
Authors: Mekonen Melsew Tefera
Published: March 2022

This study investigates the status of teachers’ attrition and its’ impact on the performance of Wag Seyoum Admassu General Secondary and Preparatory School using qualitative methodology. To that end, the data were gathered from school principal, department heads, and teachers. Interview, focus group discussions, and document analysis were the data gathering tools. In doing so, attention was given to causes for teacher attrition and impact on the school performance. The data collected was analyzed qualitatively case by case. The findings revealed that, personal factors, organizational factors, working conditions and socio-cultural factors were not the causes for teachers’ attrition in the school. They only create dissatisfaction. The primary reasons for teachers’ attrition were economic reason-low salary of teachers. With regard to the impact of teacher attrition on the performance of the school, students remain idle for long period of time, deterioration of students result and quality of education, additional burden on both teachers and school management, loosening staff cohesion and psychological unrest were some among many. It was concluded that, teaches’ attrition in Wag Seyoum Secondary and Preparatory School was related to economic reason. Meaning full salary increment for teachers by the government was recommended.
Notícia do projeto “Repertório léxico digital de dúvidas espanhol-português na perspectiva histórico-contrastiva”
Authors: Poza José Alberto Miranda
Published: March 2022

No presente trabalho, noticiamos, problematizando-os, os parâmetros norteadores do projeto intitulado “Repertório léxico eletrônico digital de dúvidas nas interfaces entre as línguas espanhola e portuguesa”, o qual objetiva a elaboração e implantação de um dicionário de dúvidas espanhol-português que inclui características não existentes até o presente. Nesse sentido, os verbetes, longe das características onomasiológicas ou de equivalentes lexicais que, pelo geral, apresentam os dicionários bilíngues, oferecerá informações semasiológicas referentes tanto ao sentido dos lemas quanto a quaisquer outros elementos linguísticos, sejam eles de caráter fônico, morfossintático ou pragmático, conducentes à resolução da eventual dúvida do usuário. Revisitaremos os âmbitos da linguística contrastiva e da linguística histórica na elaboração dos artigos, o que vai permitir oferecer, além de uma visão panorâmica da questão, uma resposta focada no porquê do fenômeno – e não apenas na mera descrição de um fato –, finalidade inescusável de toda aproximação científica ao seu objeto de estudo. Equipes interdisciplinares de professores, técnicos e estudantes da Universidade Federal de Pernambuco e da Universidade de Salamanca (Espanha) executarão o projeto. Não há atualmente nenhuma publicação semelhante que apresente, ao mesmo tempo, as informações elencadas. Por sua vez, o suporte digital representa o futuro das publicações lexicográficas, uma vez que garante a acessibilidade universal e gratuita, facilita seu uso por parte dos sujeitos consultores, abrindo o leque de possibilidades que o formato em papel impedia. O projeto em tela colocará em evidência os estudos em Linguística aplicada (Lexicografia, Ensino-aprendizagem de línguas), em Linguística histórica e em Linguística contrastiva realizados no Brasil pela repercussão, em termos de internacionalização destes, tendo em vista a colaboração direta neste projeto da Universidade de Salamanca (Espanha), instituição de referência mundial há décadas no Ensino da Língua Espanhola para Estrangeiros.
As unidades fraseológicas com zoônimos em livros didáticos e algumas possibilidades de ensino
Authors: Budny Rosana
Published: March 2022

Objetivamos refletir e apresentar algumas possibilidades de ensino de unidades fraseológicas com zoônimos (UFz) face à carência constatada em manuais didáticos para o ensino de inglês como língua estrangeira, já investigados. A pesquisa se justifica pelo fato de os aprendizes de língua estrangeira apresentarem dificuldades de entendimento relacionadas às UFz, posto que o seu significado não se depreende isoladamente, mas resulta da combinação fixa de palavras, de traços culturais que precisam de contexto e de instrução para serem entendidos. Entre os procedimentos metodológicos adotados, investigou-se se as UFz estavam presentes nas coleções de livros didáticos para o ensino de inglês que fazem parte do Programa Nacional do Livro Didático nas seções de estudo de vocabulário. Baseamo-nos nos pressupostos teóricos da Fraseologia, com Corpas Pastor (1996), Navarro (2004) e Leal Riol (2011), e, como resultado, constatamos que as referidas UFz não estão contempladas nesses materiais e que sua aplicação didático-pedagógica ainda requer estudos. Apresentamos, ainda, algumas possibilidades de ensino.
Os tecnicismos em dicionários: aspectos teóricos e metalixográficos em publicações espanholas do século XX
Authors: Marques ELizabete Aparecida , Ferreira Roosevelt Vicente
Published: March 2022

Com este artigo, apresentamos uma revisão bibliográfica a respeito dos preceitos teóricos que fundamentam a inserção de tecnicismos em dicionários. Para tanto, revisamos alguns trabalhos espanhóis de caráter metalexicográficos publicados no decorrer do século XX. As obras estudadas de Casares (1921), Menéndez Pidal (1945), Martínez (1947), Casares (1950), Haensch (1982), Haensch (1997) e Lara (1997) demonstram que a inclusão dos tecnicismos em dicionários foi objeto de preocupação desde os primórdios do século XX, reforçando a necessidade, por parte dos lexicógrafos da atualidade, de estudos sobre essa parcela do universo lexical, devido a sua importância para a elaboração de dicionários linguísticos.
O desenho de uma aplicação de MAVL em PLE destinado a aprendentes chineses
Authors: Lou Zhe , Kuhn Tanara Zingano , Correia Margarita
Published: March 2022

O presente trabalho tem como objetivo apresentar o desenho de uma aplicaçãode Mobile-assisted Vocabulary Learning (MAVL) em Português como Língua Estrangeira (PLE) destinada a aprendentes chineses, a UVA. O conteúdo do desenho é baseado em investigações sobre ensino-aprendizagem de vocabulário em língua estrangeira (NATION, 1990, 2000; MA, 2006, 2009; BEATTY, 2010a; BEATTY, 2010b; JIANG, 2000) e na adaptação das estratégias de O'Malley e Chamot (1990) e Oxford (1990a). Além disso, o processo de aprendizagem na aplicação baseia-se em diversos estudos no âmbito da aprendizagem assistida por tecnologia (GOODFELLOW, 2006; LAUFER et al., 2000; GROOT, 2000). Na UVA, pretende-se dar conta da realidade da aprendizagem de vocabulário de língua portuguesa e dos hábitos e necessidades no uso de aplicações de MAVL dos aprendentes chineses. Para isso, foi aplicado um inquéritoa 133 aprendentes chineses, cujos resultados nos ofereceram informação imprescindível para um desenho da aplicação mais adequado ao público-alvo. A estrutura da UVA consiste em cinco módulos: Escolha de Vocabulário a aprender; Aprendizagem de Vocabulário (subdividido em três etapas: dedução, consolidação e retomada); Dicionário; Administração de Aprendizagem e Campo Social. Trata-se de um recurso inédito que busca facilitar e flexibilizar a aprendizagem de vocabulário em PLE e aumentar a eficácia da aprendizagem.
Procurando agulha no palheiro em busca de fraseologismos em dois livros didáticos de português
Authors: De Souza Davi Pereira , Nunes Salvador Carlene Ferreira
Published: March 2022

O objetivo deste artigo consiste em analisar o tratamento didático destinado aos fraseologismos em seções de dois livros didáticos do 7º Ano do Ensino Fundamental. A corrente teórica fraseológica adotada se baseia em Mejri (1997; 2012) e em Antunes (2012), Pontes (2011) e Monteiro-Plantin (2017), no que tange ao tratamento do ensino do léxico a partir de livros didáticos e dicionários. A metodologia utilizada foi a de análise de conteúdo, cuja técnica de coleta da amostra foi amparada pela procura, em dois livros didáticos (DELMANTO; CARVALHO, 2018; CORDEIRO, 2018), por fraseologismos nos textos principais de cada unidade e nos boxes intitulados ‘Dicionário’ e ‘Vocabulário’. Os resultados encontrados apontam para a baixa frequência de fraseologismos nos dois livros analisados. A análise mais apurada desse resultado conduz ao entendimento de que as unidades fraseológicas, apesar de constituírem quantidade relevante do léxico, ainda são pouco exploradas no ensino de língua portuguesa.
Emblica officinalis seed coat: Extraction and their preliminaryphytochemical analysis
Authors:   Govt. Madhav Science PG, College Ujjain, M.P. 456010, India, Goyal Pragya , Bhardwaj Arpan ,   Govt. Madhav Science PG, College Ujjain, M.P. 456010, India, Mehta Darshana ,   School of Studies in Chemistry and Biochemistry, Vikram University Ujjain, MP 456010, India, Mehta B.K. ,   School of Studies in Chemistry and Biochemistry, Vikram University Ujjain, MP 456010, India
Published: March 2022

Preliminary screening of phytochemicals is a valuable step, in the detection of thebioactive principles present in amla and subsequently may lead to drug discoveryand development. In the present study, chief phytoconstituents of the amla wereidentified to relate their presence with the bioactivities of the plants. Thepreliminary phytochemical of amla leaf and bark were analyzed by researchers andits efficacy of amla fruit is widely proved. This paper also shows the presence of phytochemical series of compounds effectively. Keywords: Medicinal plants, Preliminary screening, phytochemical properties.
Neural Network in Keystroke Dynamics in Biometric Authentication System
Authors: Radha K. , Udhayakumar T. , Prabhakaran P. , Pradeepa G.
Published: March 2022

Abstract: In the proposed approach writing speed can be improved by low over head techniques for screening key designs. It is fast and different ways are used to integrate to existing conventions. A more expensive scope of client is allowed to test for equivalent overhead. Proposed method potential predispositions are responsible, so they can be measured and balanced. The comparator has been used a existing standard layout. Mapping both layouts can eliminate differing familiarity and finger memory bias. Delineate it with two cell phone keypad formats: Sam-sung's variation of the basic ABC design, and another client particular design (PM). We rehash an examination beforehand attempted by a preparation based technique, which utilized 10 members, and evaluated a 54% speedup for PM (SD=35%). The new strategy utilized 116 members and assessed a 19.5% speedup (SD=7.5%). Wide confidence interval of the training-based methods, differences in test corpuses, and the inherent conservatism of the new method which is used to explain the Differences in speedup estimates. As a result of large test group the effects of user uniqueness tested significantly. There is no obvious effect on any of the measures. ABC and PM performance were significantly related age and keypad experience. Age and Keypad experience does not affect the relative speed. A different experience level of comparison bias has been removed by proposed approach. Keywords: ABC design, PM performance, Neural Network
Chatbot for Children Assistance
Authors: Raskar Ankita Dadaso , Dongare Akshata Santosh , Inamdar Afrin Salim , Kamble Rutuja Bharat , Patil Pranali Laxman , Balshetwar Dr. S V
Published: March 2022

Abstract: Children of age 3 to 7 are unaware of language and they face trouble while learning new things so this chatbot application is designed for them to make their start towards learning easy and in interactive way. This application will help them to learn basic things required in daily life and also will entertain them. This application is helpful to enhance their skills. This is designed to provide an interactive learning medium which results in fast progress of child. A chatbot is artificial intelligence (AI) software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, mobile apps or through the telephone. A chatbot is often described as one of the most advanced and promising expressions of interaction between humans and machines. Machine Learning and artificial intelligence are fast growing technologies and are used in any area to make human activities easy and fast. Chatbots are way more than simple conversational agents. They can be connected to various APIs which will for example enable them to deal with a wider range of children requests. Multifunctional chatbot assistance built using this technology will help children in day to day activity. During 19 pandemic some issues are raised as big concern one of them is children health and growth. Parents are unable to give their proper attention to their child due to work pressure, work from home. Chatbot assistance will help them out in daily activities and give guidelines which will beneficial to their health and growth. Chatbot will work as a their study partner.
Online Child Predator Detection Using ML (Research Paper)
Authors: Gade Prof. Swati , Bhadre Utkarsha , Shaikh Tabassum , Bangar Mahesh , Waghmode Sarika
Published: March 2022

Abstract: Proficient analysts should all the more completely comprehend the risks of online sexual sales and manners by which to shield youth from sexual stalkers who utilize the Internet. Albeit the Internet has numerous positive angles, quite possibly the most malicious aspect is its expected use for online sexual predation. The Internet addresses a medium that permits sexual stalkers admittance to innumerable kids in a moderately mysterious climate. The primary goal of our task is to distinguish kid hunter base on remarks and post of web-based media account and send hunter record to digital cell admin. A late public review demonstrated that around one out of five youth are requested for sex over the Internet yearly (Finkelhor, Mitchell, and Wolak, 2000; Mitchell, Finkelhor, and Wolak, 2001). This task report presents our present advancement to empower the formation of the framework. Thus, with the created framework, youngster hunter accounts recognition any report to administrator for additional activity. Index Terms: ML, dataset, Training Module, Predator.
Deploy Cotton Plant Disease Prediction Application using CNN and Flask
Authors: Saha Pratiti , MN Dr. Nachappa
Published: March 2022

Abstract: The use of deep learning models to identify lesions on cotton leaves on the premise of images of the crop within the field is proposed in this article. Its cultivation in tropical regions has made it the target of a large spectrum of agricultural pests and diseases, and efficient economical solutions are needed. Moreover, the symptoms of the main pests and diseases cannot be differentiated within the initial stages, and also the correct identification of a lesion can be troublesome for the producer. To help resolve the problem, the present research provides a solution based on deep learning in the screening of cotton leaves that builds it attainable to watch the health of the cotton crop and make higher choices for its management. For this approach, Automatic classifier CNN will be used for classification based on learningwith some training samples of that twocategories. Finally the simulated result shows that used network classifier provides minimum error during training and better accuracy in classification. Keywords: Plant disease, deep learning, CNN, Classification.
An Intelligent Data-Driven Model to Secure Intra- Vehicle Communications based on Machine Learning
Authors: Poorvadevi Dr. R. , Nikhil Bodala Yaswanth , Kumar Darisi Venkata Sravan
Published: March 2022

Abstract: The depend on electric vehicles on either in vehicle or between-vehicle communications can cause big issues in the system. The model is constructed based on an better support vector machine model for difference finding based on the controller area network (CAN) bus protocol. In order to improve the capabilities of the model for fast mischievous attack detection and avoidance, a new optimization algorithm based on social spider (SSO) algorithm is developed which will emphasize the training process at. The model results on the real data sets tell the high performance, consistency hacking in the electric vehicles. Keywords: Electric Vehicle, Intra-Vehicle, Controller-AreaNetworks (CAN Bus), Anomaly Detection, Optimiz.
Recommendation System for Tourist Reviews using Aspect Based Sentiment Classification
Authors: V Kande Trupti , Shah H. P.
Published: March 2022

Abstract: To improve services, the tourism industry makes use of a large amount of data collected from a variety of sources. Because of the easy availability of feedback, evaluations, and impressions from a wide range of visitors, tourism planning has become both rich and complex. As a result, the tourism industry faces a significant challenge in determining tourist preferences based on the data collected. Unfortunately, some user comments are meaningless and difficult to comprehend, making it difficult to make recommendations. Approaches to sentiment classification that are based on aspects have shown promise in terms of reducing noise. At the moment, there isn't a lot of work being done on aspect-based sentiment and classification. Aspect-based sentiment classification recommendation methods are introduced in this paper, which employ deep learning algorithms to not only classify aspects quickly, but also to perform classification tasks with high accuracy. A series of experiments on real-time review classification have been conducted to determine how effective the framework is at assisting tourists in locating the best location, hotel, and restaurant in a region. Keywords: Classification, Deep Learning, Tourist Reviews, Aspect Based Sentiment Analysis.
Low Cost Design of 3D Printed Prosthetic Hand with IR Sensor
Authors: Chandrakant Desai Akash , Jahangir Shaikh Sohil , Rajendra Sharma Abhishek , Rafik Shaikh Tousik , Mansuri Iqbal
Published: March 2022

Abstract: One of the most common problem that disabled persons with amputation in upper limb they couldn’t buy a commercial prosthetic hand because it very expansive and up to thousands of dollars, Researchers and developer aspire to manufacture an prosthetic hand that performs the same functions and activates of natural hand. This paper includes the design and development of a low-cost prosthetic hand (less than a1000$) that capable of wearing from the persons who has amputation in the hand, this design represent a hand with five finger capable of movement and gripping the object, rotatable wrist and socket connect with amputation body capable to up and down the forearm . The design of this prosthetic hand possess 18 degree of freedom (DOF), 3DOFfor each finger except the thumb has 4DOF, 2DOFfor wrist and 2DOF for socket. The design prosthetic hand work by under actuated system 7 servo motors with tendon to move the fingers material (PLA). The design element and tesht in solid work to avoid overlapping between fingers and then after manufacture the design try it in real life to movement and gripping the object. Keywords: Prosthetic hand, degree of freedom, 3d printing, solid work.
Big Data to Implement E-Governance
Authors: Vora Hiteshkumar
Published: March 2022

Abstract: As the world moves forward in the way of process, Information Technology plays a vital role in the development. All aspects of the future will depend on the internet and computers so it is necessary to take the government into the world of Internet. Developing countries like India which have a huge population need extra care of data and information. For that Big Data can become a blessing. Big data technology improves all aspects like security, management, processing etc. This huge amount of data is difficult to analyze and in a normal environment it takes a long time to generate any meaningful output so big data technology can give better output in less time. This paper presents the idea and application of Big data technology in the EGovernment in countries like India. Keywords: Hive, Pig, Big Data, Hadoop, Government
Digital Content Editor with Markdown Support
Authors: Katre Mandeep , Gaur Jaya , Srivastava Manas , Gupta Ritik , Roy Sourodeep Ghosh
Published: March 2022

Abstract: During Covid-19, up to 94% of students got affected. Not just students, but largely teachers faced even more difficulties to adjust with online teaching. It became crucial to have a well-formed study material, in order to teach online effectively. Any well written material isn’t enough for students to study. It needs to be interactive. Present tools available to create interactive content are either not sufficient or expensive to use. Most of them are tedious to operate, when used to create a scale. This editor tool aims to provide a platform that overcomes all the problems mentioned regarding the study content to students. Making online content creation easy, effective and joyful for educators in the pandemic times as well as for the future. This research paper focuses on creating a comprehensive digital content creation tool that supports parameters that are required for creation or modern digital content, using markdown, katex. It aims to satisfy the needs of multiple user groups, especially educators, institutes and teachers. Keywords: Digital Content Management, Markdown, Katex, Code snippet, Syntax Highlighter, Mathematical Expressions, UML diagrams, flowchart, Educators, Institutes
Chef Automation on Google Cloud
Authors: Kumaran N. , H Ramya , Apoorva V.
Published: March 2022

Abstract: This project is about Chef Automation. Generally if you want to install particular software or a package on a single server you can install it easily. Imagine you are maintaining an organization and you have thousands of servers running in your production environment. At this point, you cannot go and install packages or software’s on all thousand servers and maintaining all these servers is also a difficult job. With our project which is chef automation, you can automate all these processes or any installations on all thousand servers in a single click. Here we can save a lot of time and manpower by deploying the code to all servers. In chef automation we have three nodes: Server, Workstation and Client. Chef automation is nothing but automating the processes on client machines. First, we will be writing cookbooks on workstation (cookbooks are the actual programs that need to be run on client machines). These cookbooks are written in ruby programming language. After developing cookbooks these are needed to be pushed on to the server node. Keywords: Chef, Cloud Shell, Compute Engine, Cookbook, Google Cloud, My SQL, Recipe, Subnet, Virtual Machine, Virtual Private Cloud.
CyberX: Own Server Based Windows OS and Penetration Testing
Authors: Kondelwar Dr. Mrs. Anuradha , Hingawe Nikhil , Bachar Ankit , Bisen Greenkumar , Bhosale Karan , Tandekar Gajendra
Published: March 2022

Abstract: Computer systems have faced the difficulty of protecting the data with which they work since the beginning, and as technology has advanced, computational security measures have become increasingly complex to counter potential threats. We're currently engaged in a war game with the traditional attackers and defenders. The attackers desire complete control of the systems. Defenders, on the other hand, virtualized systems to ensure the resources' safety in the event of an assault. Attackers have also developed increasingly complex strategies to circumvent such safeguards, necessitating the need to predict such events, which can be accomplished through the use of preventative measures. Simulating Penetration Testing is one way to accomplish this (PT). PT is a computer system attack that employs a series of specialized tools to search for security flaws. These tools may finally get access to the computer's features and data, allowing the finding of evidence of vulnerability. Cyber-attacks are more likely in virtual environments. The purpose of this paper is to present a framework for performing penetration testing in virtual environments. Keywords: Security, Penetration Testing (PT), Vulnerability, Virtual Environments, Cyber-attack.
Learning-Based Fake News Detector Using Multiple Features Using Machine Learning
Authors: Gupta C. Lakshmi Kara , Reddy D. Sumanth , Kiran K. A. Uday , Selvi A. Senthil
Published: March 2022

Abstract: Lately, the ascent of Online Interpersonal organizations has prompted a multiplication of social news like item ads, political news, big name data, and so forth. Some of the Social media platforms such as Facebook, Instagram, and Twitter are influenced by their customers through with fake news. Shockingly, a few clients utilize dishonest means to develop their connections and notoriety by getting out the counterfeit word as texts, pictures, and recordings. Notwithstanding, the new data showing up on an internet-based informal community is suspicious, and much of the time, it misdirects different clients in the organization. Counterfeit word is gotten out purposefully to delude peruses to trust bogus news, which makes it hard for recognition systems to identify counterfeit news dependent on the shared substance. The approach of the Internet and the quick acceptance of online media platforms ready for data spreading that has never been watched in human being history in the past. With the existing use of online social media platforms, customers are producing and distributing other data place than any further time in latest celebration, several of which are untrue with no importance to the actual planet. Robotized order of a text paper as dishonesty or misrepresentation is a tricky responsibility. Really, just as a specialist in a particular region requires to examine various angles prior to doing a judgment on the integrity of an editorial. In this design, we plan to use a machine learning collection style for the automatic category of news report papers. Our analysis examines individual produced properties that can be used to split fake matter from honest. By developing those things, we prepare a mix of several AI sums employing various grouping approaches and evaluate their showcase on 4 real world datasets. The practice evaluation acknowledges the unparalleled showcase of our planned ensemble undergraduate methodology in distinction with different scholars.
Text to Speech and Language Conversion in Hindi and English Using CNN
Authors: Patil Prof. Shweta , Dhande Ms. Swapnali , More Ms. Megha , Dalvi Ms. Sanika
Published: March 2022

Abstract: Deaf and dumb persons use sign language to communicate with other people in their society. Because sign language is the only means of communication for persons who are deaf or hard of hearing, it is mostly utilized by them. Ordinary folks are unfamiliar with this language. A real-time sign language recognition system has been developed in this article to allow those who do not know sign language to communicate with hearing-impaired people more readily. In this case, we employed American Sign Language. We have used American Sign Language in this paper. We introducing the development and implementation of an American Sign Language (ASL) derived from convolutional neural network. Deep Learning Method is used to train a classifier to recognize Sign Language and Convolutional Neural Network (CNN) is used to extract features from the images. We have also used Text-To-Speech Synthesis to convert the detected output into speech format. With use of MATLAB function the obtained text is converted into voice. In our system we are converting text to speech in Hindi language. Therefore hand gesture made by deaf and dumb people has been anatomized and restated into text and voice for better communication. Keywords: Sign Language Recognition, Image Processing, Text-To-Speech, American Sign Language, Classification, Convolutional Neural Network, Deep Learning real-time
5G Wireless Technology
Authors: Patkar Ankit
Published: March 2022

Abstract: After the up rise of 4G wireless mobile technology takes place; researchers, mobile operator industries representative, academic institutions have started to look into the advancement (technological) towards 5G communication networks due to some main demands that are meliorated data rates, better capacity, minimized latency and better QoS (Quality of Service). To established the 5G mobile communication technological foundation, various research works or projects entailing main mobile infrastructure manufacturers, academia and international mobile network operators have been introduced recently. Nevertheless, 5G mobile services to be made available for use, their architecture, and their performance have not been evidently explicated. In this paper, we represent thorough overview of 5G the next generation mobile technology. We mainly throws light on 5G network architecture, 5G radio spectrum, ultra-dense radio access networks (UDRAN), traffic offloading of mobile, cognitive radio (CR), software defined radio (SDR), software defined networking (SDN), mixed infrastructure, and 5G network impact on the society. Keywords: 5G wireless technology, evolution from 4G to 5G
A Survey on Chemicals in Cosmetic Products
Authors: Mahabaleshwarkar Sanika , Patil Harshali , Pathak Aishwarya , Joshi Priya , Mukane Saie
Published: March 2022

Abstract: Across the world, everyone wants themselves to look beautiful, handsome and stunning, and for that people use many kinds of cosmetics. There are many sorts of cosmetics such as organic, inorganic and long lasting. This is detrimental to human health of future generation. This disturbing fact led authors to conduct a survey from randomly selected individual belonging to wide range of age bracket regarding their perspective on chemicals present in cosmetic and their long term effect on future generation. Keywords: Cosmetic products, survey, allergy, branded cosmetic products, ingredients in cosmetics.
Farklı Şiddetteki Periodontal Hastalıklarda Salya ve Serumdaki PTX-3 ve CRP Düzeylerinin Değerlendirilmesi
Authors: TAN Aykut , GÜRBÜZ Nilgün , ÖZBALCI Furkan İlker , KOŞKAN Özgür , YETKİN AY Prof. Dr. Zuhal
Published: March 2022

Amaç: Bu çalışmanın amacı periodontal açıdan sağlıklı ve farklı şiddetlerde periodontal hastalığı olan (gingivitis, periodontitis –Evre I ve Evre III) bireylerin salya ve serum örneklerinde Pentraksin (PTX)-3 ve C-reaktif protein (CRP) düzeylerinin belirlenmesidir.Materyal-metot: Sağlıklı (Grup 1, n=20), gingivitis (Grup 2, n=20), Evre I periodontitisli (Grup 3) ve Evre III periodontitisli (Grup 4, n=20) olmak üzere 80 sigara içmeyen sistemik sağlıklı bireyin salya ve serum CRP ve PTX-3 düzeyleri ELISA yöntemiyle belirlenerek gruplar arasında karşılaştırıldı ve klinik parametrelerle korelasyonları incelendi. Bulgular: En yüksek serum CRP düzeyi Grup 4’te belirlenirken, Grup 1 tüm gruplardan anlamlı düzeyde düşük serum CRP düzeyi sergiledi (p<0,05). Serum CRP düzeylerinin Grup 2 ve Grup 3’te istatistiksel olarak birbirine benzer (p>0,05); ancak Grup 1’den anlamlı yüksek (p<0,05) ve Grup 4’ten anlamlı düşük düzeyde (p<0,05)olduğu belirlendi. Serum PTX-3 sağlıklı gruptan şiddetli periodontitisli gruplarına doğru artan bir düzeyde sıralanmaktaydı; ancak bu sıralamada Grup 2 Grup 3’ten daha yüksek serum PTX-3 düzeyi sergiledi (p<0,05). Salya CRP ve PTX-3 düzeyleri Grup 1’de diğer gruplardan anlamlı düşük, Grup 3 ve 4’te diğer gruplardan anlamlı yüksek düzeyde iken (p<0,05); Grup 2 ve Grup 3 birbirine benzer düzeyler sergiledi (p>0,05). Periodontal parametreler ve serum ve salya parametreleri arasındaki korelasyonlar incelendiğinde, hem CRP hem de PTX-3’ün tüm periodontal parametreler ile güçlü korelasyonlar sergilediği belirlendi (p<0,001). Sonuç: İncelenen salya ve serum parametreleri (CRP ve PTX-3) ve çalışma grupları arasında belirlenen düzeysel farklılık ve parametreler arasındaki korelasyonlar periodontal hastalık-sistemik hastalık ilişkisini açıklamak için önemli veriler sunmuştur.
Periodontal Health Status of Adolescents with Hashimoto Thyroiditis
Authors: YETKİN AY Prof. Dr. Zuhal , TEKNECİ Ayşegül , TAN Aykut , IŞIK Ayşe Rabia , PİRGON Özgür
Published: March 2022

Objective: Possible mechanisms regarding the relationship between Hashimoto’ thyroiditis (HT) and periodontal disease were suggested to be the autoimmune mechanisms. The aim is to report the oral and periodontal health status of a sample of adolescents with HT; and to evaluate the factors affecting the oral and periodontal health of the adolescents with HT.
Material- Method: Sixty adolescent girls aged between 12-18 years (mean±SD: 15.03±2.05 years) have participated. The study population was comprised of HT (n = 30) and control (C, n = 30) groups. In addition to the endocrinologic evaluations (metabolic parameters) and intra- and extra-oral examinations, periodontal examination including the recording of percentage of bleeding on probing (BOP %), gingival index (GI), plaque index (PI), and pocket depth (PD) was made.
Results: Except the significantly higher anti-thyroid peroxidase (Anti-TPO) values in HT group than the C group (P = 0.001), none of the metabolic parameters have shown significant differences (P > 0.05). All of the subjects had gingivitis. The periodontal parameters were found not significantly different (P > 0.05). Salivary flow rate (SFR) has negative significant correlation with Anti-TPO (r = -0.367, P = 0.046), and cortisol has negative significant correlation with pocket depth (PD) (r = -0.378, P = 0.040).
Conclusions: Significant correlations between gingival index (GI) and fT4, and PD and fT4 have led us to consider that the periodontal inflammation might relate to HT. The adolescence period should also kept in mind; which results in exaggerated host response to the dental plaque, and projected with the presence of gingivitis in the whole study population.
Developing a Food and Drug Interaction Knowledge Scale for Health Care Professionals: A Validity and Reliability Study
Authors: KARAGÖZ Mustafa Fevzi , GEZMEN KARADAĞ Makbule , YILDIRAN Hilal , AKÇİL OK Mehtap
Published: March 2022

Objectives: Health professionals’ food-drug interaction knowledge level is related with efficiency of treatment. Given that, it’s important to measure the knowledge level. This study aims to develop a scale that can measure food-drug interaction knowledge level of health care professionals and increase awareness on this issue.Methods: A total of 200 individuals (50 from each profession: medical doctor, nurse, dietician and pharmacist) working in Ankara were selected. The scale consists of 25 items and three options for each: “True”, “False” and “I do not know”. In the evaluation, each correct answer equals to 1 (one) point, while the others (wrong and absent) equal to 0 (zero). Content validity and item analysis were conducted for the validity, and Cronbach alpha coefficient was measured. Results: Consequently, 4 items whose total correlation with the total score less than 0.15 were removed from the scale. Item difficulties in the scale vary between 0.20 and 0.96, and average item difficulty of the scale was found to be 0.61±0.18. The scale was evaluated on the basis of quarter points of 21 items. Accordingly, 25th percentile of 21 items was 5.25, 50th percentile was 10.25, and 75th percentile was 15.75. Score classification less than 5 means “low” knowledge level, between 6 and 11 “intermediate”, between 11 and 15 “good” and between 16 and 21 “very good”.Conclusions: Hereby, this scale was found to be highly valid and quite reliable to be used in order to determine the food-drug interaction knowledge levels of health care professionals.
Expression Pattern of ADAMTS-3 (A Disintegrin and Matrix Metalloproteinase Type,1 Motif 3) in Normal and Cancer Cell Lines
Authors: ALPER Meltem , AYDEMİR A.tuğşen , KÖÇKAR Feray
Published: March 2022

ADAMTS-3 is a procollagen N- proteinase whose main function is to cleave procollagen II, the principal collagen of the cartilage and bone. This maturation process provides accurate fibril conformation for tissues. Along with collagen II, ADAMTS-3 can also process some other extracellular matrix components such as collagen III and fibronectin. ADAMTS mediated processing of the extracellular matrix components has considerable importance in both normal and pathological circumstances. Therefore, substrate specificities and the tissue expression profiles of the family members have become a hot topic. Further, altered expressions of the family members have been elucidated in some tumor types. Therefore, protumor and /or tumor suppressor functions of them is being investigated. The expression profile of the ADAMTS-3 has been studied only in a few normal and cancer tissues. Knowledge of the expression patterns of the ADAMTS-3 in cell lines are rather limited. In the present study, we determined ADAMTS-3 mRNA (sqRT-PCR) and protein expression levels (western-blot) in normal HUVEC, and cancer cell lines, namely, Saos-2, MG-63, DU-145, PC-3, Hep3B and PANC-1 cells. ADAMTS-3 was highly expressed in HUVEC, Saos-2, MG-63, and PC-3 cells. These findings will be fundamental for future studies that will be performed on ADAMTS-3 transcriptional regulation studies specific cancer types and also defining of the ADAMTS-3 contribution on the development and metastasis of specific cancer types.
Existence and Uniqueness Results of Positive Solution of a Class of Singular Duffing Oscillators
Authors: Benkaci-Ali Nadir
Published: March 2022

In this paper, we give existence and uniqueness results of nontrivial positive solution of the singular and non-autonomous kind of Duffing oscillator by using fixed point index theory.
Some Identities Involving Multiplicative (Generalized)(α; 1)-Derivations in Semiprime Rings
Authors: Malleswari G. , Sreenivasulu S. , Shobhalatha G.
Published: March 2022

Let R be a semiprime ring, I a non-zero ideal of R and α be an automorphism of R. A map F : R to R is said to be a multiplicative (generalized)(α, 1)-derivation associated with a map d : R to R such that F (xy) = F (x) α (y) + xd (y), for all x, y in R. In the present paper, we shall prove that R contains a non-zero central ideal if any one of the following holds: (i) F [x, y] ± [x,y] =0; (ii) F (xoy)±α(xoy) = 0; (iii) F [x, y] = [F (x) , y]α;1 ; (iv) F [x, y] =(F (x) oy)α;1 ; (v) F (xoy) = [F(x) , y]α;1 and (vi)F (xoy) = (F (x) oy)α;1, for all x, y in I.
Application of Due Process in Recruitment and Selection of Personnel into the Federal Civil Service. Part 2
Authors: Ani Vincent A. , Anayochukwu Grace I.
Published: March 2022

This study was conducted to investigate the constraint to the effective application of due process in the recruitment and selection of personnel into the federal civil service. Four objectives and four research questions guided the study. A sampling technique was used in carrying out the work. A total number of three hundred (300) respondents were used for the study. The instruments for data collection were a questionnaire and observation checklist. Three hundred (300) copies of the questionnaire were distributed to the staff of the Federal Civil Service Commission (FCSC), Abuja and two hundred and seventy-six (276) were returned representing a 92% return rate. The frequency table and Mean were the statistical measures employed for the data analysis. The findings revealed that there were no strategies or methods of recruitment and selection of staff into the federal civil service. However, the findings also revealed that practices such as political interference and corruption during recruitment and selection in federal civil service tend to undermine the principle of due process. Based on the findings, it was recommended that the federal civil service commission should formulate sound policies and practices that will minimize the degree of politicization and corruption in the recruitment and selection of staff into the federal civil service; make use of modern sources and techniques of recruitment and selection such as, E-recruitment process and Information Communication Technology (ICT)-based selection resources as their source of recruitment and selection; and develop strategies or methods that will result in the effective application of due process in their recruitment and selection exercises.
Analytic Study of Russian Experience in Economic Development and Integration in the Global Economy: Lessons for Iran and Developing Countries
Authors: Rezaeinejad Ismael
Published: March 2022

Economic development is one of the main concerns of todays countries, significantly those influenced by the collapse of the communist bloc and the failure of a centralized planning and growth pattern of socialism. As a result, Russias economy in the post-collapse period witnessed chaos in domestic production and the rise in commodity prices. However, Russia is now the 11th largest economy globally, and the countrys exports, which was $ 78 billion in 1995, amounted to more than $ 420 billion. This paper attempts to analyze this experience concerning the role of government in developing and integrating into the global economy. Therefore, the main question is the governments role in developing and integrating into the global economy from 1995 to 2011. This paper attempts to review the Russian experience due to its similarity in post-Soviet period with the Iranian economys current circumstances, analyzing and comparing solutions that a government must consider to be transferred from a government-run to a market economy. The survey shows that the Russian government successfully took a step toward economic liberalization and integration in the global economy.
Foreign Experience in the Implementation of Regional Investment Policy and the Possibility of Its Application in Russia
Authors: Nevyantseva Lilia S.
Published: March 2022

This article examines the features and trends in the implementation of state investment policy at the level regions in selected foreign countries. The author conducts a comparative analysis of the investment policy of the selected countries, identifies the priorities, tools and goals for the implementation of the analyzed investment policy practices. The author concludes that it is possible to use the best foreign practices in the implementation of investment policy at the Russian regional level.
Modeling of a Tandem Solar Cell Structure Based on CZTS and CZTSe Absorber Materials
Authors: ARBOUZ Hayat
Published: March 2022

In this paper, we simulated a double junction cell based on top CdS/Cu2ZnSnS4 cell, stacked on a bottom CdS/Cu2ZnSnSe4 cell. We started by studying the perfomance of the bottom solar cell, based on the copper zinc tin selenide Cu2ZnSnSe4 (CZTSe) absorber. Then, we evaluated the photovoltaic parameters of the tandem cell at the optimized thickness of the copper zinc tin sulfide Cu2ZnSnS4 (CZTS) absorber of the top cell, where the top and bottom cells deliver the same photocurrent density. We achieved A maximum efficiency of 24.68% with an open circuit voltage of 1.33 V and a photocurrent density of 16.54 mA/cm² for the thicknesses 413.8 nm and 2 µm of CZTS and CZTSe absorbers, respectively. İn order to improve power conversion efficiency, light trapping effects was studied. The use of randomly textured top cell absorber allows the reduction of its thickness to 270 nm. An efficiency of 24.71% was then obtained. Finally, the effect of replacing the toxic CdS buffer absorber with the ZnS material was investigated.