bluuebunny/crossref_metadata_2025 huggingface dataset:
« Professeurs des dieux » : les maîtres des princes héritiers, d’Auguste aux Sévères
Authors: Gangloff Anne
Published: October 2021

Cette étude est centrée sur le rôle des professeurs des princes héritiers pour préparer leurs élèves à leurs futures fonctions politiques et en particulier pour leur transmettre un modèle de comportement, les faire entrer dans une persona. La première partie analyse la place et l’identité de ces professeurs dans les sources antiques, souvent lacunaires vis-à-vis de ces personnages. La deuxième partie examine les acteurs et les motifs du choix des professeurs, ainsi que l’éventail des fonctions que ceux-ci remplissaient pour la domus impériale. La troisième partie s’attache plus précisément à la période antonine, époque où se fixe la figure du bon prince : de Marc Aurèle à Caracalla, il est possible de montrer dans le domaine de la rhétorique grecque que la transmission d’un modèle politique bien défini a reposé sur la double continuité des hommes et du discours.
Uomini illustri, famiglie illustri
Authors: Bizzocchi Roberto
Published: October 2021

Dans la culture humaniste un homme était considéré comme « grand » en raison de ses vertus personnelles, mais au cours des xvie et xviie siècles cette conception fut conditionnée par l’idéologie nobiliaire du lien entre vertu et sang, et donc de la transmission de la grandeur d’une génération à l’autre, caractéristique non tant d’un individu que d’une famille. Au xviiie siècle cette conception généalogique de la vertu fut contestée au nom du mérite individuel et de l’utilité sociale, un thème qui au siècle suivant fut associé à l’idée nationale. La gloire féminine fut considérée d’un manière spécifique et relativement différente.
Intelligent Information Retrieval for Reducing Missed Cancer and Improving the Healthcare System
Authors: Kumari Madhu , Ahlawat Prachi
Published: October 2021

This study presents an intelligent information retrieval system that will effectively extract useful information from breast cancer datasets and utilized that information to build a classification model. The proposed model will reduce the missed cancer rate by providing a comprehensive decision support to the radiologist. The model is built on two datasets, Wisconsin Breast Cancer Dataset (WBCD) and 365 free text mammography reports from a hospital. Effective pre-processing techniques including filling missing values with regression, an effective Natural Language Processing (NLP) Parser is developed to handle free text mammography reports, balancing the dataset with Synthetic Minority Oversampling (SMOTE) was applied to prepare the dataset for learning. Most relevant features were selected with the help of filter method and tf-idf scores. K-NN and SGD classifiers are optimized with optimum value of k for K-NN and hyper tuning the SGD parameters with grid search technique.
Query Sense Discovery Approach to Realize the User's Search Intent
Authors: Chenaina Tarek , Neji Sameh , Shoeb Abdullah
Published: October 2021

The main goal of information retrieval is getting the most relevant documents to a user’s query. So, a search engine must not only understand the meaning of each keyword in the query but also their relative senses in the context of the query. Discovering the query meaning is a comprehensive and evolutionary process; the precise meaning of the query is established as developing the association between concepts. The meaning determination process is modeled by a dynamic system operating in the semantic space of WordNet. To capture the meaning of a user query, the original query is reformulating into candidate queries by combining the concepts and their synonyms. A semantic score characterizing the overall meaning of such queries is calculated, the one with the highest score was used to perform the search. The results confirm that the proposed "Query Sense Discovery" approach provides a significant improvement in several performance measures.
Design of a Parallel and Scalable Crawler for the Hidden Web
Authors: Gupta Sonali , Bhatia Komal Kumar
Published: October 2021

The WWW contains huge amount of information from different areas. This information may be present virtually in the form of web pages, media, articles (research journals / magazine), blogs etc. A major portion of the information is present in web databases that can be retrieved by raising queries at the interface offered by the specific database and is thus called the Hidden Web. An important issue is to efficiently retrieve and provide access to this enormous amount of information through crawling. In this paper, we present the architecture of a parallel crawler for the Hidden Web that avoids download overlaps by following a domain-specific approach. The experimental results further show that the proposed parallel Hidden web crawler (PSHWC), not only effectively but also efficiently extracts and download the contents in the Hidden web databases
Breast Cancer Histopathological Image Classification Using Stochastic Dilated Residual Ghost Model
Authors: Kashyap Ramgopal
Published: October 2021

A new deep learning-based classification model called the Stochastic Dilated Residual Ghost (SDRG) was proposed in this work for categorizing histopathology images of breast cancer. The SDRG model used the proposed Multiscale Stochastic Dilated Convolution (MSDC) model, a ghost unit, stochastic upsampling, and downsampling units to categorize breast cancer accurately. This study addresses four primary issues: first, strain normalization was used to manage color divergence, data augmentation with several factors was used to handle the overfitting. The second challenge is extracting and enhancing tiny and low-level information such as edge, contour, and color accuracy; it is done by the proposed multiscale stochastic and dilation unit. The third contribution is to remove redundant or similar information from the convolution neural network using a ghost unit. According to the assessment findings, the SDRG model scored overall 95.65 percent accuracy rates in categorizing images with a precision of 99.17 percent, superior to state-of-the-art approaches.
Determination of total petroleum hydrocarbons (TPHs) in weathered oil contaminated soil
Authors: Saad Almutairi Meshari
Published: October 2021

A new measurement method of weathered crude oil in soil was reviewed. There is no standard method for the extraction of crude oil from soil. Hence, a basic initial test was carried out and several methods such as gravimetric and gas chromatography-mass spectrometry (GC-MS) with various parameters such as weight, solvent and time. The gravimetric process was demonstrated to be the most effective for quantifying weathered contamination crude oil in contaminated soil. The dichloromethane DCM, mixture of DCM: hexane (1:1 v/v mix) and the mixture of acetone: hexane (1:1 v/v mix) were used to investigate the ability of solvent extraction technique for removing weathered crude oil from soil under various extraction conditions. The mixture of acetone: hexane (1:1 v/v mix) was demonstrated to be the most effective in removing total petroleum hydrocarbons (TPH) from contaminated soils. 5 g and 1 g weights of oil-contaminated samples were studied to select the best weight depending on contamination level. 1 g of contaminated soil was cleaned in three cycles whilst the 5 g of contaminated soil required six cycles. The selected parameters recovered about 97.20% of the weathered crude oil. These parameters were influenced with character of high efficiency, low cost, low toxicity, and short time.
A influência do lúdico no desenvolvimento infantil
Authors: Fonseca Paula Duarte , Silva Margarete Pereira da , Leite Petterson Soares
Published: October 2021

Por meio do brincar surge a interação entre a espontaneidade e a criatividade com a progressiva aceitação das regras sociais e morais por parte da criança. Então é brincando que o indivíduo se humaniza e aprende a conciliar de forma afetiva a afirmação de si mesmo à criação de vínculos afetivos duradouros. Diante disso, este artigo trata da influência do lúdico no desenvolvimento infantil e apresenta resultados de uma pesquisa qualitativa, cujo objetivo tratou de discutir sobre a importância das práticas lúdicas no processo de desenvolvimento da criança, visando à construção do conhecimento e aprendizagem por meio de jogos e brincadeiras. Realizou-se uma revisão bibliográfica no qual apresenta-se as contribuições que o jogar e brincar proporcionam para o processo de construção do conhecimento. Portanto, através deste artigo, é possível afirmar que, enquanto recurso didático-pedagógico, o lúdico permite novas maneiras de ensinar, associado a aspectos que podem tornar o ensino mais atrativo, interessante e contribuir com uma educação de maior qualidade, capaz de atender aos interesses essenciais à criança.
O valor de um afeto: afetividade na educação infantil
Authors: Taube Eliane Holzlechner
Published: October 2021

O trabalho educacional envolvendo a afetividade é um assunto importante para a educação infantil. Nesse sentido, é preciso reconhecer o valor deste sentimento, e como ele auxilia no desenvolvimento cognitivo, psicológico, físico, afetivo e social de maneira prazerosa. Portanto, é necessário ter conhecimento de como ocorrem os processos de ensino e aprendizagem na educação infantil e assim mediar as ações educativas na busca de uma educação plena e de qualidade.
Aprendizagem da língua portuguesa como segunda língua: desafios e propostas de ensino
Authors: Melo Cleidiane da Penha Segura de , Guimarães Emanuelly Mariana Trindade , Costa Luciana Raimunda De Lana
Published: October 2021

O ensino da Língua Portuguesa para alunos surdos tem sido um desafio para os professores, visto que estes precisam utilizar métodos diferenciados dos já utilizados para os ouvintes. O ensino direcionado aos surdos deve se basear na modalidade visual-gestual, em contraposição à modalidade de ensino dos ouvintes, a qual é oral-auditiva. Sendo assim, o objetivo deste texto é destacar as principais metodologias utilizadas no ensino da Língua Portuguesa para surdos. Para isto, foram utilizadas pesquisas bibliográficas com o intuito de colaborar para a pesquisa acadêmica sobre melhoria da qualidade da aprendizagem do aluno surdo, no contexto da educação bilíngue, que privilegia a Língua de Sinais como recurso fundamental para a educação de surdos. Para tal reflexão, valemo-nos de autores como Pereira (2009), Quadros (1999) dentre outros autores que discutem a realidade vivenciada por estudantes surdos na aquisição da Língua Portuguesa como segundo idioma. O texto ainda discute os desafios que o docente ouvinte enfrenta para adquirir a segunda língua (Libras) para se comunicar com o estudante não ouvinte. Além de alternativas possíveis a serem implantadas não apenas pela escola, mas por toda a sociedade e os poderes públicos responsáveis por implementarem ações que visem a (des) construção de conceitos referentes à aprendizagem da Língua Portuguesa como segunda língua para alunos surdos e a Libras para toda a comunidade escolar.
Pemetaan Kawasan Kumuh Menggunakan Metode AHP dan GIS di Kota Tanjungbalai
Authors: Juwita Nasution Adinda , Perwira Mulia Ahmad
Published: October 2021

Kawasan kumuh yang terjadi di Kota Tanjungbalai dikarenakan salah satunya kurangnya kesadaran masyarakat di Kota Tanjungbalai sehingga sampai saat ini masih banyak lingkungan yang terindikasi kawasan kumuh yang sangat tinggi. Kawasan permukiman penduduk yang semakin padat dan kotor, kondisi jalan yang semakin buruk dan drainase yang penuh dengan sampah merupakan tanda-tanda kekumuhan. Untuk penanganannya perlu ada analisa terhadap faktor apa saja yang menyebabkan hal itu terjadi sehingga upaya penanganan dan pencegahan dapat tepat sasaran. Studi ini bertujuan menentukan kawasan berdasarkan ketertinggalan dan kekumuhan dengan beberapa tingkatan yaitu kawasan sangat tinggi, kawasan tinggi, kawasan sedang, kawasan rendah dan kawasan sangat rendah menggunakan metode AHP dan GIS. Penelitian ini dilakukan secara kualitatif dengan menggunakan mengumpulkan data primer dan sekunder yang kemudian akan diolah dengan metode AHP dan GIS. Kawasan yang berdasarkan ketertinggalan terdiri dari 4 kriteria dan 22 sub-kriteria sedangkan kawasan berdasarkan kekumuhan terdiri dari 1 kriteria dan 7 sub-kriteria. Dari hasil analisa diperoleh kawasan yang berdasarkan ketertinggalan yaitu: kawasan sangat tinggi 53 lingkungan, kawasan tinggi 69 lingkungan, kawasan sedang 45 lingkungan, kawasan rendah 13 lingkungan, dan kawasan sangat rendah 7 lingkungan dan kawasan berdasarkan kekumuhan maka diperoleh sebagai berikut: kawasan sangat tinggi 11 lingkungan, kawasan tinggi 90 lingkungan, kawasan sedang 68 lingkungan, kawasan rendah 14 lingkungan dan kawasan sangat rendah 11 lingkungan
Re-Examining the Publicity, Advertising and Marketing of Legal Profession in Malaysia
Authors: Othman Mohd Bahrin Bin , Sufi Hariz , Hussain Faridah Binti , Abdullah Sarah Munirah Binti , Alang Kemala Binti
Published: October 2021

The legal practitioners in Malaysia are restricted from publicising, advertising and marketing themselves on the grounds of fiduciary relationship with clients, the duty to serve the public and it is professionally undignified. Despite the advancement of the Information, Communication and Technology, lawyers are restricted in utilising it for publicity, advertising and marketing. At the same time, the public is deprived of information to engage the best lawyers of their choice. Furthermore, while other countries such as European Union, United Kingdom, Singapore and Australia have moved forward, the Malaysian legal profession remains unchanged. This concept paper investigates the adequacy of the Legal Profession (Publicity) Rules 2001(“LPPR 2001”) in legalising publicity, advertising and marketing. This paper adopts a qualitative research methodology with doctrinal and comparative approaches. Firstly, this paper focuses on content analysis of statutes as the primary source of law. Secondly, content analysis on secondary sources of law including journal articles, and online sources. Thirdly, conducting a comparative study by analysing the primary and secondary sources of law in other jurisdictions. This paper explains that lawyers must be allowed to innovate into new methods in publicising, advertising and marketing themselves. Society will greatly benefit from this as they will be more informed and knowledgeable in engaging the service of lawyers of their choice. This paper ends by suggesting that there is a dire need to legalise the publicity, advertising and marketing of the legal profession in Malaysia. Thus, this research is significant to the development of the legal profession in Malaysia.
Who Is a Native of Sabah? A Legal Analysis
Authors: Salleh Rafidah@Malissa Binti , Matah Lenny James , Ku Yusof Ku Mohd Amir Aizat , Herman Hershan@Ray
Published: October 2021

Article 161A of the Federal Constitution provides for the special position of natives of Sabah and Sarawak. Who are the natives of Sabah? There are legal definitions provided in the Federal Constitution, the State Constitution of Sabah and the Sabah Interpretation (Definition of Native) Ordinance 1952. However, each provision provides vague and unclear definitions for the term "native". This vague and inconsistent definition leads to so many problems faced by the natives of Sabah, both in economic and political aspects. Thus, this paper aims to analyse the relevant legal provisions concerning the definition of a native of Sabah and highlight possible solutions to the problems.
Hubungan Kelayakan Akademik dan Pengalaman Mengajar dengan Tahap Efikasi Kendiri Guru Prasekolah Menjalankan PDPC Pasca Pandemik Covid-19
Authors: Andoh Hanassia , Ompok Connie Cassy , Sukor Nur Suhaidah
Published: October 2021

Kajian ini dijalankan bagi mengenal pasti hubungan kelayakan akademik dan pengalaman mengajar dengan tahap efikasi kendiri guru prasekolah menjalankan pengajaran dan pemudahcaraan (PdPc) di kelas prasekolah pada pasca pandemik Covid-19. Saiz sampel (n=74) ditentukan melalui formula penentuan saiz sampel Krejcie-Morgan (1970), dan dipilih secara rawak di kalangan guru prasekolah Jabatan Kemajuan Masyarakat (KEMAS) Daerah Ranau. Data dikutip melalui kaedah soal selidik dengan menggunakan instrumen Teacher’s Sense of Efficacy (TSES) yang dibangunkan oleh Tschannen-Moran & Hoy (2001), dan kemudiannya dianalisis menggunakan SPSS v20.0. Analisis deskriptif menunjukkan efikasi kendiri guru berada pada tahap sederhana tinggi dengan catatan M=3.69, SD=0.59. Korelasi Pearson mendapati adanya hubungan tidak signifikan di antara kelayakan akademik dan pengalaman mengajar dengan efikasi guru kerana dapatan K>.05 bagi kedua-dua pemboleh ubah. Dapatan ini menunjukkan, efikasi kendiri guru menjalankan PdPc pasca pandemik Covid-19 tidak ditentukan oleh kelayakan akademik dan pengalaman mengajar. Namun begitu, jika dilihat daripada domain efikasi didapati bahawa pengalaman mengajar mempunyai korelasi dengan efikasi pengurusan kelas dengan dapatan kajian r=.236, k<.05.
Motif Alam Melayu dalam Puisi-Puisi Terpilih Zurinah Hassan Sebagai Satu Retrospeksi Bahasa Pada Masa Kini
Authors: Kartini Ros Anita , Ali Abdul Halim
Published: October 2021

Makalah ini menganalisis puisi-puisi Zurinah Hassan dengan memberi tumpuan kepada motif alam Melayu yang terdapat di dalamnya. Oleh yang demikian, perbincangan makalah ini adalah untuk memperlihatkan bagaimana keunikan motif alam Melayu menjadi satu retrospeksi apabila diucapkan kembali oleh penyair dalam puisi-puisi moden dengan penggayaan struktur yang lazim digunakan dalam puisi tradisional, yakni kabahasaannya sebagai satu pernyataan pascakolonial. Motif alam Melayu ini dirakamkan kembali sebagai satu bentuk retrospeksi pascakolonial oleh Zurinah Hassan menerusi puisi-puisi terpilih sama ada secara perseorangan atau menerusi antologi puisi Zurinah Hassan iaitu Kumpulan Puisi Sesayup Jalan (1974), Kumpulan Puisi Di Sini Tiada Perhentian (1977), Kumpulan Puisi Keberangkatan (1985), Kumpulan Puisi Pujangga Tidak Bernama (1994), Antologi Nota Waktu (2000), Kumpulan Puisi Pesanan dari Gunung Ledang (2004) dan yang terakhir Kumpulan Puisi Salasilah (2005). Kajian ini menggunakan kaedah kualitatif kajian kepustakaan dengan menganalisis teks. Penggunaan motif alam Melayu dalam puisi-puisi kajian merupakan suatu usaha peribumi pascakolonial di alam Melayu mendokumentasikan kembali, sekali gus menjulang budaya leluhurnya ke mata dunia menggunakan bahasa kebangsaan peribumi.
The 16th Sabah State Election: Kadazandusun Politics and the Huguan Siou Factor
Authors: Bagang Tony Paridi , Puyok Arnold , Mersat Neilson Ilan
Published: October 2021

This article analyses the 16th Sabah State Election, focusing on the Kadazandusun-majority seats. It is based on an ethnographic study comprising interviews with candidates and casual conversations with local people in "competitive" Kadazandusun seats such as Matunggong, Kiulu, Moyog, Tambunan, Keningau, Sook, Nabawan, Tenom and Melalap. The results of the election showed that the Kadazandusun voted for status quo. In addition, following the trend of GE14, the Gabungan Rakyat Sabah (GRS) managed to maintain its strong presence in the Kadazandusun areas. This article argues that ethnic and personality politics play an instrumental role in determining the Kadazandusun support to GRS particularly STAR (Parti Solidariti Tanah Airku Rakyat Sabah/Homeland Solidarity Party) and PBS (Parti Bersatu Sabah/Sabah United Party). While economic factors are decisive as well, the role of the Kadazandusun traditional leadership institution is pertinent in influencing the people’s decision to vote.
Social Media Influencers and The Dietary Choices Among University Students
Authors: Ahmad Syahruddin Awang , Bruno Diandra Eleanor
Published: October 2021

This study investigated the attitude and subjective norms of students on Social Media Influencers (SMIs) towards the behavioural intent on their dietary choices in accordance with the Theory of Reasoned Action. Social media influencers as groups of people have had to some extent constructed a reputation for themselves through applying social media platforms to promote oneself. In completing the study, the final year students in Universiti Malaysia Sabah (UMS) were selected as the respondents. The results of the study showed there is a significant relationship between the subjective norms of students on SMIs with the behavioral intent on their dietary choices. Thus, the study concluded that attitude of students towards the SMIs does not affected their daily dietary choices, however, the subjective norms in the students’ life on the SMIs actually makes a difference in their eating habits. Based on the findings of the study, 97.6% of the students believed that they have healthy dietary choices. This study also shows that, 98.8% of the respondents subscribe to social media influencers on their social media accounts. The findings alone indicated that the students’ live are impacted by them. Furthermore, most of them follow the social media influencers on every social media platform: Instagram, Facebook, YouTube, TikTok and Twitter. However, Instagram is the most used social media platform to subscribe to them.
Pengaruh Sikap, Pengetahuan dan Kemahiran Terhadap Pencapaian Kendiri Guru di Sabah
Authors: Jumanie Sarimawathy , Salam Syahrul Nizam
Published: October 2021

Kajian ini bertujuan mengenal pasti pengaruh sikap, pengetahuan dan kemahiran guru Bahasa Melayu terhadap pencapaian konsep kendiri guru Bahasa Melayu di Sabah. Reka bentuk kajian menggunakan kaedah tinjauan. Soal selidik sebagai instrumen kajian telah digunakan untuk mendapatkan data kuantitatif melibatkan seramai 380 guru Bahasa Melayu iaitu sebagai responden. Data kajian telah dianalisis menggunakan statistik IBM SPSS versi 22. Data yang diperoleh, dianalisis menggunakan ujian statistik parametrik iaitu regresi berganda. Keputusan menunjukkan terdapat pengaruh yang signifikan faktor peramal iaitu sikap, pengetahuan dan kemahiran guru terhadap pencapaian kendiri guru Bahasa Melayu. Implikasi daripada kajian ini, mencadangkan bahawa pencapaian kendiri guru Bahasa Melayu perlu sentiasa dipertingkatkan dan ditambah baik dari segi sikap, pengetahuan dan kemahiran dalam meningkatkan pencapaian akademik di sekolah.
Escalation of Suicide Amidst The COVID-19 Pandemic in Malaysia: Progressive Strategies for Prevention
Authors: Ganaprakasam Charles , Humayra Syeda , Ganasegaran Kalaivani , Arkappan Philominah
Published: October 2021

The COVID-19 global health crisis has inflicted a tremendous amount of mental tribulation, especially in developing nations1. Since the COVID-19 outbreak has been declared as a public health crisis, many countries across the South Asian region reported a sharp increase in suicide cases. For instance, suicide cases in Thailand, Singapore, and Nepal have surged tremendously during the outbreak of COVID-19. Thailand health officials revealed that 2,551 suicide cases were reported in the first half of 2020, which is a 22% increment from the same period in 20192. In parallel, Singapore reported 452 suicides in 2020, the nation's highest number of cases since 2012, amid the isolation and psychological distress brought about by the COVID-19 pandemic3. Furthermore, in Nepal, the number of suicide cases increased by almost 25% compared with previous years amidst the COVID-19 outbreak, whereby 559 suicide incidents occurred every month4. In Malaysia, there has been a dramatic upsurge in suicide cases since the beginning of the COVID-19 outbreak in January 2020. According to recent statistics by the Royal Malaysian Police Department, a total of 631 suicide cases were recorded in 2020 and 468 cases were reported between January to May 20215. Compared to the year 2019, suicide cases in Malaysia almost doubled on average in all age categories in the 5 months of 2021 that is 94 cases per month compared to 51 cases per month in 20195. The increased psychological distress and poor mental health status amidst COVID-19 supports the escalating suicide mortality subjectively. Hence, this unexpected pandemic situation demands a comprehensive framework for tackling the massive upsurge of suicide among people from developing countries. In line with that, the aim of this viewpoint is to revisit the efforts implemented by the current Malaysian government and propose several prevention strategies to combat suicide during this global health crisis.
The challenges of distance learning in countries undergoing transition during the COVID-19 pandemic - case study
Authors: Rugova Naser , Nikci – Rexha Elmire , Berisha Elmi , Bajrami Fallanza Beka
Published: October 2021

Virtual learning, also known as online learning or distance learning has transformed the face of the education system for quite some time. Now, it is rapidly becoming an integral aspect and a common tool, in the broader aspect of higher education, as a result of the COVID-19 pandemic. In addition to providing an alternative method of learning in the digital age, online learning offers students the opportunity to learn new skills or improve existing ones.  On March 11, 2020, the World Health Organization declared COVID-19 a global pandemic. Following the speed with which COVID-19 spread to all parts of the world and to curb the spread of the disease, most governments around the world, including the Republic of Kosovo, authorized unprecedented social control measures to stop this disease unknown. These measures, among others, required social distancing and temporary physical closure of educational institutions. The first case of COVID 19 in Kosovo was identified on March 13, 2020, social distancing - full closure came into force on March 15, while UBT Higher Education Institution started online learning on March 16, 2020, the first in Kosovo and possibly in the Western Balkans. This teaching-learning process was a novelty for Kosovo and was applied for the first time. Objective: The main objective of the current survey was to study the impact of E-learning on students' academic performance and their evaluations of this form of teaching in general. The purpose of this paper is to reflect as professionally as possible the organization of distance learning, the effects on the teaching and learning process as well as the form and level of communication and teacher-student relations in this process which was a novelty for Kosovo and UBT as one of the largest Private Colleges in the region.
The Effect of Digital Literacy and Future Time Perspective on The Self-Confidence of Prospective Vocational School Graduates Entering the Job Market
Authors: Prianto Agus , Winardi Winardi , Qomariyah Umi Nur
Published: October 2021

We are now living in digital age. Almost all activities are carried out using digital technology devices. Various information and knowledge are saved in digital devices. Therefore, anyone who lives in the present and the future should have adequate digital literacy. This study aims to determine the level of digital literacy, future time perspective, and the self-confidence of prospective vocational school graduates in entering the job market. In addition, this study also intends to answer whether there is an influence of digital literacy and future time perspective on the self-confidence of prospective vocational school graduates entering the job market. This research revealed that the digital literacy level of prospective vocational school graduates is at a moderate level, the future time perspective is at a good level, and the level of self-confidence entering the job market is at a good level. Mediated by a future time perspective, digital literacy indirectly affects the self-confidence of prospective vocational school graduates in entering the job market. There is no significant relationship between digital literacy and confidence in entering the job market. Thus, digital literacy--future time perspective--self-confidence in entering the job market is a pathway used to prepare prospective vocational school graduates to enter the job market. Vocational schools are directed to develop real programs to increase students' digital literacy to encourage the growth of self-confidence of prospective vocational school graduates in entering the job market.
The moderating effect of corporate governance to the relationship of corporate social responsibility and product market competition to company value
Authors: Marpaung Elyzabet Indrawati , Augustine Yvonne
Published: October 2021

The objective of this research is to find out the moderating effect of corporate governance on the relationship of corporate social responsibility and product market competition to company value. The control variable in this study is company size. The sample of this study was 216 observations consisting of 54 manufacturing companies listed in the Indonesia Stock Exchange from 2016 until 2019. Moreover, the simple random sampling method is employed to grab them. To analyze the data, we use the multiple regression model with polling data. The findings of this research are product market competition negatively affects company value. In opposition, corporate social responsibility and  corporate governance positively affect company value. Meanwhile, corporate governance only moderates the effect of product market competition on the company value. The implication of this study is that good corporate governance practices can reduce the negative effects of PMC on company value.
Accident Alarming and Collision Avoiding System for Drowsy Drivers
Authors: Kumar M. Ravindra , Satya P. , Swathi S. , Kumar S. Manoj , Sandeep P.
Published: October 2021

Now a day’s road accident is one of the principal concerns in our states. Reckless automobile driving and driver drowsiness are the major motives in the back of those road accidents. The alarming rate of accidents and uncontrollable automobiles on the streetdemand an automatic system that could guide drivers right now in dangerous conditions. While any obstacle (just like the human, vehicle, and some other item) comes in front of the vehicle, control speed of the vehicle is the viable strategy to keep away from injuries. While a driver in a drowsy state or sleep state, give warning to the driver and control the velocity of the vehicle is the possible way to keep away from injuries. We endorse a solution in our mission to avoid avenue injuries and to manipulate the rate of automobiles. The machine will locate boundaries and motive force drowsiness using an ultrasonic Sensor and eye blink sensor and Arduino will execute a collision-avoidance gadget according to a pre-burnt code in the Arduino. The machine has also velocity manipulate features. It’s going to reduce or increase the rate of the vehicle relying on the impediment distance from the shifting car to decrease the damage or collision of an accident. Furthermore, if any obstacle from the bottom comes in the direction of cars, right now a buzzer will alert the driving force, and if any quick circuit happens in the engine element smoke sensor detecting and gives alert to the driving force and stop the automobile.
SEQUELAS NO SISTEMA NERVOSO CENTRAL POR SARS-COV-2: UMA REVISÃO DA LITERATURA
Authors: Santos Nathanael Nascimento dos , Ferreira Marcos Antonio , Brazil Sthefany Dos Santos , Cunha Morgana Sousa Da , Guimarães Beatriz Gonçalves
Published: October 2021

Introdução: O curso da atual pandemia por COVID-19 continua incerto, reforçando a importância de estudos para avaliar os aspectos patológicos, devido a doença apresentar complexas interações sistêmica, dentre as condições provocadas tem-se manifestações nos sistemas nervoso central (SNC) e imunológico na infecção por SARS-CoV-2, Investigações e caracterização dos danos neurológicos são indispensáveis para a compreensão do impacto no SNC. Estudos discutem alterações cerebrais de ordem estrutural, fisiológica e cognitiva em uma parcela dos pacientes, e como possível porta de entrada do vírus na estrutura celular, tem-se fortes evidencias que seja especificadamente através da enzima conversor de angiotensina 2 (ACE2) presentes principalmente em células endoteliais que compõem a vascularização, por consequência da invasão provoca deterioração desta e outras estruturas que apresentam o receptor para tal. Objetivos: esse trabalho objetivou-se em realizar um levantamento na literatura sobre as sequelas neurológicas em pacientes afetados por SARS-COV-2. Material e métodos: A busca dos estudos foi realizada no mês de agosto/2021 nas bases de dados Scopus. A delimitação temporal foi de 2020 a 2021, período que contempla o intervalo de início das primeiras produções científicas evidenciando a temática. Utilizou-se a string de pesquisa: (sars-cov-2 OR covid*) AND "central nervous system" AND sequelae. Para precisar melhor e retorno da pesquisa na base de dados foi ativado o filtro para os resumos dos estudos. Resultados: o Levantamento retornou 30 documentos, destes 5 foram descartados após a leitura, devido a não correspondência ao tema proposto. Referente as sequelas, dentre os principais achados estavam enxaquecas devido ao acúmulo tóxico, dano cerebral por desmielinização ou neurodegeneração e acidentes vasculares. Das motivações seriam partículas e proteínas virais e o termo utilizado foi a formação de “trilhas tóxicas” que provocam uma resposta imunológica hiper-inflamatória. Conclusão: a compreensão das sequelas neurológicas provocadas pela COVID-19 é primordial para determinação etiológica e prevenção para neuropatologia, no desenvolvimento de intervenção terapêutica eficiente, mesmo que uma parcela menor apresente esta condição, perspectivas sobre o fim do período pandêmico ainda está indefinido e variantes virais estão surgindo.
ATUAÇÃO DO FISIOTERAPEUTA E ABORDAGEM DE CONDUTAS NO TRATAMENTO E REABILITAÇÃO DAS SEQUELAS DO PACIENTE PÓS COVID-19
Authors: Macedo Islâne da Silva Sousa , Costa Fernanda Kelly Cândido
Published: October 2021

Introdução: A COVID-19 é uma doença infectocontagiosa, causada pelo vírus SARS-CoV2, caracterizada por grandes inflamações do sistema respiratório, os sintomas mais comuns são febre, tosse seca, cansaço, entre outros. Objetivo: Destacar os benefícios e as possíveis descobertas geradas no processo de reabilitação cardiorrespiratória em pacientes sequelados, pós-UTI, pelo vírus SARS-CoV-2 para o enfrentamento da doença. Chegando a mais de 3 mil mortes por dia em alguns estados no Brasil na segunda quinzena de março de 2021, o numero de recuperados também vem crescendo ate o presente momento ultrapassando os 19 milhões de pessoas. Metodologia: Trata-se de uma revisão bibliográfica, exploratória qualitativa. A coleta de dados ocorreu no período de Fevereiro e Março de 2021, utilizando-se a base de dados SCIELO, Google Acadêmico, MEDLINE e Revistas Eletrônicas de Saúde. Os critérios de inclusão foram artigos publicados em 2020 e 2021, em português, inglês ou espanhol, disponíveis na íntegra e com acesso eletrônico livre que se alinhavam ao tema do trabalho. Resultados: As intervenções fisioterapêuticas como os treinamentos aeróbicos, de força muscular, inspiratório e neurofuncional, devem ser realizadas após, pelo menos, 72h sem quadro de febre e sem uso de antitérmico, estabilização da Spo2, freqüência respiratória e estabilidade clínica. Em casos leves da doença a reabilitação pode ser a telereabilitação, recomendações de atividade física leve, de 3-4 vezes por semana e 1-2 vezes por dia, com duração de 10-15 minutos e aumentando gradativamente, interveção psicológica se necessário e exercícios respiratórios tem se mostrado eficazes. A posição em pronação tem mostrado benefícios na dispinéia, aumento da Spo2. Estudos realizados demonstraram a redução da mortalidade em pacientes que utilizaram precocemente esse posicionamento melhorando a sobrevida entre pacientes com síndrome do desconforto respiratório. Conclusão: Os cuidados fisioterapêuticos seguem principalmente com o pós tratamento da doença até o seu retorno as atividades diárias. O tempo prolongado no hospital / UTI vai ser um dos componentes essenciais para uma intervenção fisioterapêutica, pois a partir dos resultados obtidos nessa pesquisa, poderá se ter uma base para tratamentos rápidos e eficazes voltado para reabilitação cardiorrespiratória do individuo.
An Acceleration Method based on Deep Learning and Multilinear Feature Space
Authors: L .Vinagreiro Michel Andre , C. Kitani Edson , M. Lagana Armando Antonio , R. Yoshioka Leopoldo
Published: October 2021

Computer vision plays a crucial role in Advanced Assistance Systems. Most computer vision systems are based on Deep Convolutional Neural Networks (deep CNN) architectures. However, the high computational resource to run a CNN algorithm is demanding. Therefore, the methods to speed up computation have become a relevant research issue. Even though several works on architecture reduction found in the literaturehave not yet been achievedsatisfactory results for embedded real-time system applications. This paper presents an alternative approach based on the Multilinear Feature Space (MFS) method resorting to transfer learning from large CNN architectures. The proposed method uses CNNs to generate feature maps, although it does not work as complexity reduction approach. After the training process, the generated features maps are used to create vector feature space. We use this new vector space to make projections of any new sample to classify them. Our method, named AMFC, uses the transfer learning from pre-trained CNN to reduce the classification time of new sample image, with minimal accuracy loss. Our method uses the VGG-16 model as the base CNN architecture for experiments; however, the method works with any similar CNN model. Using the well-known Vehicle Image Database and the German Traffic Sign Recognition Benchmark, we compared the classification time of the original VGG-16 model with the AMFCmethod, and our method is, on average, 17 times faster. The fast classification time reduces the computational and memory demands in embedded applications requiring a large CNN architecture.
Threshold based VM Placement Technique for Load Balanced Resource Provisioning using Priority Scheme in Cloud Computing
Authors: Sohani Mayank , Jain Dr. S. C.
Published: October 2021

The unbalancing load issue is a multi-variation, multi-imperative issue that corrupts the execution and productivity of processing assets. Workload adjusting methods give solutions of load unbalancing circumstances for two bothersome aspects over-burdening and under-stacking. Cloud computing utilizes planning and workload balancing for a virtualized environment, resource partaking in cloud foundation. These two factors must be handled in an improved way in cloud computing to accomplish ideal resource sharing. Henceforth, there requires productive resource, asset reservation for guaranteeing load advancement in the cloud. This work aims to present an incorporated resource, asset reservation, and workload adjusting calculation for effective cloud provisioning. The strategy develops a Priority-based Resource Scheduling Model to acquire the resource, asset reservation with threshold-based load balancing for improving the proficiency in cloud framework. Extending utilization of Virtual Machines through the suitable and sensible outstanding task at hand modifying is then practiced by intensely picking a job from submitting jobs using Priority-based Resource Scheduling Model to acquire resource asset reservation. Experimental evaluations represent, the proposed scheme gives better results by reducing execution time, with minimum resource cost and improved resource utilization in dynamic resource provisioning conditions.
Investigating Multilayer Omega-Type Networks Operating with the Cut-Through Technique under Uniform or Hotspot Traffic Conditions
Authors: Stergiou Eleftherios , Garofalakis John , Liarokapis Dimitrios , Margariti Spiridoula
Published: October 2021

The continuous increase in the complexity of data networks has motivated the development of more effective Multistage Interconnection Networks (MINs) as important factors in providing higher data transfer rates in various switching divisions. In this paper, semi-layer omega-class networks operating with a cut-through forwarding technique are chosen as test-bed subjects for detailed evaluation, and this network architecture is modelled, inspected, and simulated. The results are examined for relevant singlelayer omega networks operating with cut-through or ‘store and forward’ forwarding techniques. Two series of experiments are carried out: one concerns the case of uniform traffic, while the other is related to hotspot traffic. The results quantify the way in which this network outperforms the corresponding singlelayer network architectures for the same network size and buffer size. Furthermore, the effects of the dimensions of the switch elements and their corresponding reliability on the overall interconnection system are investigated, and the complexity and the relevant cost are examined. The data yielded by this investigation can be valuable to MIN engineers and can allow them to achieve more productive networks with lower overall implementation costs.
Privacy-Preserving Authentication Scheme for Roaming Service in Global Mobility Networks
Authors: Woon Lee Sung , Kim Hyunsung
Published: October 2021

With the rapid development of mobile intelligent technologies and services, users can freely experience ubiquitous services in global mobility networks. It is necessary to provide authentications and protection to the privacy of mobile users. Until now, many authentication and privacy schemes were proposed. However, most of the schemes have been exposed to some security problems. Recently, Madhusudhan and Shashidhara (M&S) proposed a lightweight authentication scheme, denoted as the M&S scheme, for roaming services in global mobility networks. This paper shows that the M&S scheme has security flaws including two masquerading attacks and a mobile user trace attack. After that, we propose a privacypreserving authentication scheme for global mobility networks. The proposed scheme not only focused on the required security but also added privacy concerns focused on anonymity based on a dynamic pseudonym, which is based on exclusive-or operation, hash operation and symmetric key cryptography. Formal security analysis is performed based on Burrow-Abadi-Needdham (BAN) logic and the ProVerif tool, which concludes that the proposed scheme is secure. The analysis shows that the proposed authentication scheme is secure and provides privacy with a reasonable performance.
Challenges Faced by Student Affairs Practitioners in Embedding Indigenous Knowledge into Student Leadership Development Pedagogy. A Case for Zimbabwe
Authors: Mazodze Crispen , Mapara Jacob , Tsvere Maria
Published: October 2021

The drive to mainstream indigenous knowledge into student leadership development in Zimbabwean higher education has recently gained currency. Student leadership development has a Eurocentric historical background and it has continued on this paradigm in the post-independence era. Framed on decolonial theoretical framework this study interrogates the challenges that are faced by student affairs practitioners in their efforts to include indigenous epistemologies into student leadership development programmes. The research was designed as a case study that employed qualitative methods of data collection and analysis focussing on student development practice at three state universities in Zimbabwe namely Bindura University of Science Education, Chinhoyi University of Science Education and Great Zimbabwe University. Data were collected through in-depth interviews with student Affairs practitioners and analysed through NVivo qualitative data analysis software. Research findings indicate that student affairs practitioners face a myriad of problems which hinder the mainstreaming of the knowledge of the local indigenous people into leadership development. These problems include lack of training to empower them with skills to include indigenous epistemologies into student leadership training, lack of funding and policy guidelines. Theorising on this complexity the research recommends the designing of leadership programmes that imbue indigenous epistemologies of the local people in student development such as hunhu/ubuntu values.
Effects of Principals’ Provision of Teaching and Learning Materials on Students’ Perfomance in Mathematics in Kenya Certificate of Secondary Education in Meru County
Authors: Thiharu Maingi Honjen Kirikua , Maithya Paul , Ronoh Alexander
Published: October 2021

In the past few years, Mathematics performance among secondary school learners in Meru County has been decreasing. The current study aims to evaluate various administrative strategies used by principals and their effects on learners’ grade attainment in Kenya Certificate of Secondary Educationin Meru County. The study examines ways through which principals support mathematics teachers through trainings, seminars, workshops and how the support is translated into students’ performance. The study adopted ex post facto design to collect data and analyze the information for conclusion. The researcher analyzed KCSE data over the previous 5 years in Meru County, interviewed the principals, and designed questionnaire for Mathematics teachers. A total of 836 Mathematics teachers and 299 principals across the county were targeted.Using stratified and random sampling, only 251 Mathematics teachers and 92 principals were engaged, which accounts for only 30% of the target. The researcher used split half technique to test reliability and instrument piloting to ensure validity of the data. The study concluded that principals provided little support to Mathematics teachers to attend seminars and workshops. However, principals defended this by citing low resource budget allocations and inadequate resources to support teachers’ seminars and workshops. The findings of the current study can be used by education ministry, school administrator, teachers, and other stakeholders during the decision-making.
An Intelligent System for the Enhancement of Visually Impaired Navigation and Disaster Assistance using Geo-Based Positioning and Machine Learning
Authors: Liang Wenhua , Rico Ishmael , Sun Yu
Published: October 2021

Technological advancement has brought the masses unprecedented convenience, but unnoticed by many, a population neglected through the age of technology has been the visually impaired population. The visually impaired population has grown through ages with as much desire as everyone else to adventure but lack the confidence and support to do so. Time has transported society to a new phase condensed in big data, but to the visually impaired population, this quick-pace living lifestyle, along with the unpredictable nature of natural disaster and COVID-19 pandemic, has dropped them deeper into a feeling of disconnection from the society. Our application uses the global positioning system to support the visually impaired in independent navigation, alerts them in face of natural disasters, and reminds them to sanitize their devices during the COVID-19 pandemic.