bluuebunny/crossref_metadata_2025 huggingface dataset:
COLLABORATIVE PLANNING FOR THE ENVIRONMENTAL SUSTAINABILITY OF THE HAJJ
Authors:   Victoria University, Abonomi Abdullah , De Lacy Terry ,   Victoria University, Pyke Joanne ,   Victoria University
Published: November 2021

Every year, millions of Muslim worshippers visit Mecca in Saudi Arabia to perform the Hajj which is the fifth and final pillar of Islam. Mecca hosts more than 2,300,000 people from around 183 different countries and cultures every year. In 2016, these numbers were forecast to grow to 2,500,000 in 2020. This goal, however, has not been achieved due to the COVID-19 pandemic. The pandemic has forced the government to severely reduce the number of pilgrims in 2020 to just 10,000 people. Ultimately, this situation is temporary and visitor numbers should continue to rise. Tourism, especially religious tourism such as the Hajj, is expected to boost the economy and create new jobs for Saudi youth in the services sector. Yet, despite the many benefits of the pilgrimage, the Hajj itself has several severe adverse environmental impacts. The activities of Hajj generate considerable solid and liquid waste, use large quantities of scarce fresh water and produce high levels of greenhouse gasses (GHGs).
FROM CREATION OF THE UNIVERSE TO A WHALE RIDER: EXPLORING TRADITIONAL TALES IN THE DIGITAL PROMOTION OF NEW ZEALAND
Authors:   Universiti Utara Malaysia, Abdul Razak Norhanim
Published: November 2021

The paper applied a content analysis method to examine how myths and legends have been employed by the promotional organization in portraying New Zealand on the official tourism website. The assessment of the website uncovered six main legends which have been presented in the promotion of New Zealand to potential tourists. These traditional tales have been incorporated into the website chiefly as part of Maori heritage attributes in which purakau (the Maori term for legends) represents among crucial aspects in understanding their worldviews and cultural identities. Legends narrating fishing voyages involving demi gods offers a mythological explanation of the origin of the geological formation of islands of New Zealand were presented more than once on the website. Among the legends presented to readers on the websites encompass stories of Tane Mahuta, which depicts the tale of the sky father, the earth mother, and the creation of the world of light that humans live in today. Another unique legend, Paikea the whale rider, is featured as part of the description of a whale-watching attraction in Kaikoura, Christchurch. The overall analysis uncovered that legendary tales are incorporated into the website as the part historical origin of Maori people and in the promotion of several tourist attractions in New Zealand. From a tourism perspective, the representation of these tales enhances the appeal of destinations and make them stand out to visitors. The inclusion of the purakau offers tourists a deeper understanding of the cultural heritage of this country. Furthermore, Maori worldviews on the creation of the universe and formation of the natural environment are transpired. It is noticeable through these legends that Maori people strongly respect their ancestors and highly appreciated natural resources. Finally, the emphasis on environmental conservation and sustainability as ingrained in the tales further supported the overall promotional tagline of 100% Pure New Zealand and the inclusion of Tiaki Promise a commitment to care for New Zealand, for now, and for future generations on the official tourism website.
AUGMENTED S-O-R MODEL ON EDUCATIONAL TOURISM IN MALAYSIA: EDUCATIONAL TOURIST, INSTITUTIONAL AND DESTINATION PERSPECTIVES
Authors:   Department of Polytechnic and Community College Education Malaysia, Ministry of Higher Education Malaysia, Thomas Alfian , Wee Hassnah ,   Universiti Teknologi MARA (Selangor), Anuar Faiz Izwan ,   Universiti Teknologi MARA (Selangor), Aminudin Norliza ,   Universiti Teknologi MARA (Selangor)
Published: November 2021

The Novel Corona Virus 2019 (COVID-19) pandemic outbreak has decreased international students’ enrolment in public and private educational institutions. The educational tourism industry can achieve better benefits if the service providers and policymakers become more proactive in understanding educational tourist behaviour when dealing with challenges during the pandemic. This study examines whether educational tourist and institutional physiognomies affect the relationship between motivation facets and destination selection behaviour within an augmented Stimuli-Organism-Response (S-O-R) model. This paper analyses the issues and objectives for the forthcoming study through several works of literature from various disciplines. The outcomes of the review proposed a conceptual framework to extend the S-O-R model in future research focusing on the relationship between educational tourist motivational facets, educational tourist and institution physiognomies, and destination selection behaviour.
Myelodysplastic syndromes (MDS)
Authors: Costa Villela Neysimelia , Shimoda Ikeuti Patrícia , De Castro Resende Franco Simone , Vasconcelos Gouveia Roseane , Zamperlini Gustavo , Lopes Luiz Fernando
Published: November 2021

MDS in children is a rare group of hematopoietic stem cell clonal disorder. Allogeneic HSCT is the only curative treatment. HLA typing and the search for a compatible donor must be carried out upon diagnosis, for all patients.  However, patients with refractory cytopenia of childhood without an unfavorable karyotype can keep the disease stable for a long time. Thus, in the absence of transfusion dependence or severe neutropenia, a careful observation strategy without treatment is recommended. The treatment of children diagnosed with MDS with excess blasts remains a major challenge. Allogeneic HSCT is the only curative treatment, although the data published in the literature generally include a small number of patients, heterogeneously transplanted. For children with MDS secondary to therapy, despite HSCT, the evolution is generally unfavorable.
Hematopoietic Stem Cell Transplantation for Pediatric Acute Myeloid Leukemia - SBTMO/SOPOBE 2020 Consensus Guidelines
Authors: De Melo Rodrigues Ana Luiza , Victor Gottardello Zecchin  , Maria Lúcia de Martino Lee  , Antonella Adriana Zanette  , Adriana Seber  , Raul Corrêa Ribeiro
Published: November 2021

Acute myeloid leukemia (AML) represents 15%–20% of acute leukemias in children, and the risk of treatment failure is based on genetic risk and response to therapy1-4. Although the initial remission rate exceeds 90%, more than 30-40% of children with AML die of refractory/relapsed disease or treatment-related toxicity5. The best therapeutic results are achieved by integrating intensive chemotherapy, optimal supportive care, and hematopoietic stem cell transplant (HSCT) adapted to each patient’s risk of relapse6–9. In 2020, the Brazilian Group for Pediatric Bone Marrow Transplantation of the Brazilian Society of Bone Marrow Transplantation and Cellular Therapy (SBTMO) and the Brazilian Society for Pediatric Oncology (SOBOPE) convened a task force to provide general guidance on HSCT for childhood AML to provide evidence-based guidance for the appropriate management of this disease.
Combining knowledge bases for system innovation in regions: Insights from an East German case study
Authors: Friedrich Christoph , Feser Daniel
Published: November 2021

This study aims to connect the literature strand on the geography of sustainability transitions with knowledge bases in regions. Thecontributions are threefold. First, the study investigates the recombination of knowledge bases in the regional knowledge transfer between academic and non-academic actors. This extends Strambach’s (2017) transnational approach to a regional level. Second, the study extends the empirical insights into universities, providing regionally relevant knowledge and accelerators for sustainability-oriented innovations that enable transformation processes (Pflitsch and Radinger-Peer 2018). Third, the case study presents exploratory insights with a dynamic perspective to examine the knowledge transfer of the EUSD and three affiliated regional intermediary organizations in the period between 1992, the year the Eberswalde University was founded, and 2020.
Case of study: The windmill of el pasico: Alive cultural heritage
Authors: Martínez-Pando José Antonio
Published: November 2021

The Campo of Cartagena counts on an excellent rural heritage not only for its monumental and landscaping values but also for its material and immaterial heritage. Of all of these monuments, the windmill of El Pasico highlights for its wonderful state of conservation, for being a symbol of its proud town and for being a cultural, touristic and leisure resource.
Prácticas sexuales de riesgo, derechos sexuales y reproductivos en una muestra de adolescentes del sureste de México
Authors: Pérez-Aranda Gabriela Isabel , Estrada-Carmona Sinuhé , Masté-Chablé Kenya Gabriela , Noriega-Aguilar Edwin Iván
Published: November 2021

El objetivo fue analizar el conocimiento de los derechos sexuales y reproductivos y las prácticas sexuales de riesgo en una muestra de adolescentes del Estado de Campeche, en el sureste de México; para lo cual se aplicó un cuestionario ad hoc con la finalidad de recabar información sobre conductas sexuales de riesgo y conocimiento sobre derechos sexuales y reproductivos a una muestra de 490 adolescentes estudiantes de bachillerato. Se encontraron relaciones estadísticamente significativas entre el conocimiento de derechos sexuales y reproductivos con el consumo de sustancias; así como entre el riesgo de embarazos no planeados, el riesgo de contraer ITS y de recibir violencia. No se encontraron diferencias estadísticamente significativas en el análisis de comparación entre sexos
The Effectiveness of Using Critical Concepts and Outcomes in Distance Learning via Darsak Platform during Corona Pandemic in Compensating Students' Educational Loss in AL-Mazar Ash-Shamali Directorate of Education: Teachers' Perspectives
Authors: Al-Jarrah Faisal
Published: November 2021

RESEARCH ARTICLE
The Effectiveness of Using Critical Concepts and Outcomes in Distance Learning via Darsak Platform during Corona Pandemic in Compensating Students' Educational Loss in AL-Mazar Ash-Shamali Directorate of Education: Teachers' Perspectives
Dr: Faisal Saleh Al-Jarrah
Part-time lecturer, Irbid National University, Jordan
Part-time lecturer, Mu’tah University, Jordan
Educational supervisor and expert at Al-Mazar Ash-Shamali Directorate of Education, Jordan

Abstract
The present study aimed at investigating the effectiveness of using critical concepts and outcomes in distance learning via Darsak platform during “covid-19” pandemic in compensating students' educational loss from the perspectives of the teachers in AL-Mazar Ash-Shamali Directorate of Education. To achieve the objectives of the study, the researcher prepared an electronic questionnaire that consisted of (20) items. The questionnaire was distributed electronically to the sample of the study which consisted of (220) male and female teachers who were randomly chosen from the population of the study. The validity and reliability of the study questionnaire were ensured, and the descriptive analytical approach was used to analyze the data collected. The findings of the study stressed the importance of critical concepts and outcomes used in the distance learning program in compensating the students' educational loss. The findings also revealed that there were no statistically significant differences at (α ≤ 05.0) among the participants towards the use of critical concepts and outcomes in the distance learning program through Darsak Platform in compensating educational loss due to the gender variable.
Keywords: Critical concepts and outcomes, distance learning program, educational loss, Darsak platform, teachers.
Regulating against False Corporate Accounting: Does the Companies Act 71 of 2008 Have Sufficient Teeth?
Authors: Olivier Etienne A
Published: November 2021

This article questions whether the enforcement mechanisms in the Companies Act 71 of 2008 (the Act) are adequate deterrents to financial reporting misconduct and whether they provide suitable sanctions to punish wrongdoers. The South African regulatory approach to company directors and financial reporting compliance places great emphasis on stakeholder protection and board accountability. By criminalising the publication of false financial statements, providing civil remedies to prejudiced stakeholders and robust protection for whistleblowers, empowering regulatory agencies to investigate allegations of accounting fraud and penalise transgressors, and by creating a broad net of liability for corporate decision-makers who allow or cause the publication of false financial reporting, the Act takes a firm stance that accounting fraud must be discouraged. The Act’s enforcement mechanisms in respect of financial reporting are commendable, but detection and enforcement will likely remain challenging unless a concerted effort is made to educate the public about financial reporting misconduct and its dangers, sufficient funding is provided to the regulatory agencies, consistent use is made of the available criminal, civil, and administrative remedies, and Parliament reconsiders the appropriateness of the maximum penalties for accounting fraud.
Why do Low-Income, High-Achieving Students not Apply to Top Universities?
Authors: Srivatsa Tanisha , Weeks Henry
Published: November 2021

In this study, the behavior of low-income, high-achieving students when applying to prestigious universities is analyzed. It was postulated that this behavior is due to a lack of information provided to these students and the effect of several behavioral heuristics that influence these students’ application decisions — namely, availability, simulation, and the status quo bias. This paper focuses on the behavior of low-income, high-achieving students who do not apply to prestigious students and therefore behave in a manner typical to their income level rather than their ability. These students, who are less likely to attend magnet schools or live in major metropolitan areas, are often left out of initiatives and college resources available to high-income students. To address this disparity, two solutions are proposed to encourage income-typical students to apply to prestigious universities: the continuation of test-optional policies and virtual college tours.
Cosmonautics Patent Analytics using Cooperative Patent Classification Hierarchy
Authors: Raghav Rishi , Ragavachari Sesh , Ravi Hari
Published: November 2021

Patent research is a sector of entrepreneurship that has long been used to understand both technological and financial trends in STEM industries. Such research provides insight into intellectual capital as it relates to entities, countries, and innovation areas, thus being an important factor in research and development decision-making. Yet, the sheer volume of patents filed in conjunction with unorganized attributes within patent databases creates a challenge for effective patent analysis. With this in mind, we create a patent analytic tool that organizes a specific patent class using CPC, applicant, and time attributes.
The Improvement of Total Rewards and Working Condition for Taekwondo Instructor in the COVID-19 Era
Authors: Ju Hyunjun , Lee Eileen
Published: November 2021

The purpose of this study is to identify the overall difficulties of the Taekwondo industry due to the COVID-19 situation and to find ways to improve the total rewards and working condition so that Taekwondo instructors can play their roles while maintaining their self-esteem. The method of this study was a comparative study of the U.S. and Korea, which is the home country of Taekwondo. For this study, 12 American and Korean instructors were interviewed and additional surveys were conducted. As a result, both American and Korean Taekwondo instructors were playing their roles with high self-esteem. However, there were differences in job classification, allowances pay, incentives, and self-development opportunities. In U.S., Taekwondo instructors are clearly defined their tasks based on the job classification system and are applied well-designed overtime pay, incentive system and vacation plans. On the other hand, Korean instructors were working overtime and overworking without additional compensation to maintain long-term vision and employment relations. Comparative studies show that both countries have improvements to learn from each other. Taekwondo instructors in the U.S. need to increase their self-esteem in taekwondo while providing instructors with a vision for long-term careers. Taekwondo instructors in Korea need to improve total rewards and develop new skills such as mental training, counseling, and online lessons. The study will contribute to the overall improvement of total rewards, working condition and career development of taekwondo instructors in the U.S. and Korea.
Mathematical Modelling of Epidemiology
Authors: Nagunuri Shreya , Tavernetti William
Published: November 2021

In order to combat the spread of infectious diseases, scientists from a combination of fields have started to develop mathematical models to represent these diseases. With computer models and applied mathematics, one can predict and control various diseases. We present the evolution and implementation of different models used in mathematical modelling as well as a demonstration of the SIR model in MATLAB.
Levels of C-reactive protein, LDL, IL-1α, and IL-1β as Potential Indicators of Heart Disease
Authors: Garg Ishan , Nanda Heer , Leibundgut Michele
Published: November 2021

C-reactive protein, interleukin-1α, and interleukin-1β are biomarkers that are important in the early detection of heart disease and atherosclerosis. There are many different types of heart diseases, but coronary artery disease is the most common. Heart disease kills hundreds of thousands of people every year because it is usually detected late and its general complications at the later stages. Often, by the time a patient is diagnosed, the heart disease has progressed to its later stages where treatment is not as effective. One of the current diagnostic tests that are conducted is called an electrocardiogram (EKG), and it is very expensive, reducing cost-effectiveness. In this paper, the relevance of C-reactive protein, interleukin 1α, interleukin 1β, and low-density lipoprotein to the indication of heart diseases and the use of those in early detection is discussed. In addition, there is an in-depth review of the correlations between each of the biomarkers and the severity of atherosclerosis within patients.
KINOLOGY CENTER OF BORDER SERVICE BODIES: ACHIEVEMENTS AND PROSPECTS FOR DEVELOPMENT
Authors: Zhaldybin V. V. , Kaputsky M. G.
Published: November 2021

The dog training center is a training unit of the border service authorities, and is intended for the training, retraining and advanced training of dog handlers and the training of service dogs in various types of services, such as the search (search for a person by odor print), watchdog, and special (search for narcotic drugs and psychotropic sub-stances, weapons, ammunition and explosives), guard (object protection), as well as for breeding and raising dogs of service breeds.
SUSTAINABILITY OF ANIMALS IN SUSTAINABILITY OF ECOSYSTEMS (REVIEW)
Authors: Poloz S. V. , Strelchenya I. I.
Published: November 2021

An analysis of the literature review available in the open access has determined the relevance of studying the resistance of animals in natural habitats and zooculture as marker of ecosystem stability. This article provides a variety of methods for determining and the versatility of assessing animal resistance, which requires the development of ap-proaches that can help to solve this problem comprehensively. It is shown that it is necessary to study the processes of formation of animal resistance and to establish the relationship between resistance, sustainability and tolerance and the reasons (conditions, abiotic and biotic factors) that change their characteristics.
Characteristics of people who died by suicide: record review of two and half years from the National Referral Hospital, Bhutan
Authors: Norbu Norbu , Dorji Chencho , Norbu Kuenzang , Peldon Kencho
Published: November 2021

Introduction

To address the suicide issue in the country, the Royal Government of Bhutan implemented a three year suicide prevention action plan from 1st July 2015 to 30th June 2018. As part of that action plan a national suicide registry was established under the Ministry of Health in January 2016 to collect comprehensive national data on suicide. The purpose of this study is to generate national information on suicide by analysing the suicide cases investigated and reported to suicide registry by the Forensic Department during the first two and half years. 

Methodology

The study is a descriptive, retrospective and quantitative analysis of the suicide cases investigated by the Forensic Department from 1st January 2016 to 30th June 2018. The variables included the characteristics of the suicide victims.

Result

Majority of the victims were young adults with no or low education and were either unemployed or employed with less income. 56.7% of the victims were women. Majority of them did not have physical illness or disability. About 45% had some form of mental health issues. Majority of them experienced some form of acute stressful event prior to committing suicide.

Conclusion

Improved socioeconomic conditions through gainful employment, easily accessible mental health services and social support networks as well as population with good social and emotional skills will contribute to prevention of suicide in the country.
Issues of Improving the Management of Family Non-Governmental Preschool Education Organizations
Authors: T.N. Kalmuratov
Published: November 2021

The present paper is about issues of improving the management of family non-governmental preschool education organizations in Uzbekistan. Moreover, this paper discusses recent amendments in public and private preschool education in the country.
Evaluation of usage of bone scan index in assessment of metastatic prostate cancer
Authors: Ćorović Halil , Salkica Nusret , Hadžimusić Safet , Tinjak Enis , Brčaninović Adel
Published: November 2021

Introduction: Prostate cancer has been the leading type of cancer to affect male population, and as such, it is a subject to efforts to furthermore diagnostic tools already in existence as well as development of new ones which will Aid early diagnostic, treatments as well as a follow up procedures and clinical trials. Bone scan index is a useful and objective biomarker used as a valuable tool for determination as to precise bone involvement in advanced cases, as well as a tool to predict the outcome in prostate cancer patients in clinical trials.Methods: This paper is a non-experimental (qualitative) research, that is, a scientific review of the literature.Results: The results we analyzed in this paper were collected from published academic journals.Conclusion: As a new imaging biomarker, bone scan index has potential to predict therapeutic effects and survival of patients with prostate cancer. Using measurable diagnostic image parameters, the bone scan index is important for determining metastatic bone changes in prostate cancer patients.
GÜNEY İTALYA LECCE’DE BAROK DÖNEM (XVII. YÜZYIL) KİLİSE SÜSLEMELERİ
Authors: CEYLAN Sinem , YİĞİTPAŞA Nadire Tuba
Published: November 2021

XVI. yüzyılın ikinci yarısında Trent Konsili’nde alınan kararlar doğrultusunda İtalya/Roma’da ortaya çıkan Barok, Katolik Reformun sanatını temsil etmiştir. XVII. yüzyılda ülkeler arasında yayılan üslup ortak bir kökene sahip olmasına rağmen coğrafi ve tarihsel farklılıklar nedeniyle uygulandığı ülkelere göre yerel özellik göstermiştir. Barok, Katolik Reform hareketi ile birlikte İtalya toprakları üzerine yayılmıştır. Güney İtalya’nın Puglia bölgesinde yer alan Lecce’de ise Katolik tarikatların etkisi ile birlikte Barok stilde kiliseler inşa edilmeye başlamıştır. Lecce tarihsel süreç içerisinde başta Roma İmparatorluğu olmak üzere Ostrogot, Bizans, Lombard, Norman ve İspanyol hanedanlıklarının yönetimi altında bulunmuştur. Farklı kültürlerden etkilenerek yerel özellikleri ile birlikte bir sentez meydana getirmiştir. Bu sentez, XVII. yüzyıl Barok dönem içerisinde inşa edilen kiliselere de yansımıştır. Lecce’de Barok sanat Roma ve İspanya gibi dış etkenler ile yerel kültürün birleşmesi sonucunda yeni bir stil olarak gelişme göstermiştir. Bölgede tarımsal faaliyetlerin önemli bir yere sahip olmasından dolayı bitkisel bezemeler yerel özellik göstermektedir. İspanyol egemenliği altında bulunmasından kaynaklı olarak “Plateresk ve Churrigueresque” stilini anımsatan yan şapellere sahiptir.
HİTİT ÇİVİYAZILI BELGELERE GÖRE LÚ/MUNUSharwant- VE LÚ/MUNUSÙMMEDA ÜZERİNE BAZI GÖZLEMLER
Authors: KIRÇIL Zekiye Nihan
Published: November 2021

Bu çalışmada Hitit çiviyazılı belgelerde geçen LÚ/MUNUSharwant- ve LÚ/MUNUSÙMMEDA’nın çeşitli görev ve işlevleri üzerinde durulmuştur. LÚ/MUNUSharwant- kelimesinin etimolojik açıklamalarından sonra bu görevlinin hamena-adamı, merhemli rahip, yaşlı adam (LÚŠU.GI), saki, tazelli-rahibi, iwant-kadını, palwatalla-kadını ve çığırtkan gibi çeşitli görevlilerle birlikte anıldığı görülmektedir. Hem Hititçe hem de Sumerce adlarıyla karşımıza çıkan bu görevlinin genel itibariyle “bakıcı, bekçi, ev kadını, gardiyan, hemşire,” gibi tanımlamalarla karşımıza çıktığı ve bu görevlinin Hatti kültüne mensup olduğu anlaşılmıştır.
Using AI to Learn Industry Specific Big Data for Business Operation and Crisis Management
Authors: Wong Yew Kee
Published: November 2021

Artificial intelligence has been a buzz word that is impacting every industry in the world. With the rise of such advanced technology, there will be always a question regarding its impact on our social life, environment and economy thus impacting all efforts exerted towards sustainable development. In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets for different industries and business operations. Numerous use cases have shown that AI can ensure an effective supply of information to citizens, users and customers in times of crisis. This paper aims to analyse some of the different methods and scenario which can be applied to AI and big data, as well as the opportunities provided by the application in various business operations and crisis management domains.
A Novel Privacy-Preserving Scheme in IoT-Based Social Distancing Technologies
Authors: Alrawais Arwa , Alharbi Fatemah , Almoteri Moteeb , Aljwair Sara A , SAljwair Sara
Published: November 2021

The COVID-19 pandemic has swapped the world, causing enormous cases, which led to high mortality rates across the globe. Internet of Things (IoT) based social distancing techniques and many current and emerging technologies have contributed to the fight against the spread of pandemics and reduce the number of positive cases. These technologies generate massive data, which will pose a significant threat to data owners’ privacy by revealing their lifestyle and personal information since that data is stored and managed by a third party like a cloud. This paper provides a new privacy-preserving scheme based on anonymization using an improved slicing technique and implying distributed fog computing. Our implementation shows that the proposed approach ensures data privacy against a third party intending to violate it for any purpose. Furthermore, our results illustrate our scheme’s efficiency and effectiveness.
Automated Chinese Essay Scoring using Pre-Trained Language Models
Authors: Dong Lulu , Li Lin , Ma HongChao , Liang YeLing
Published: November 2021

Automated Essay Scoring (AES) aims to assign a proper score to an essay written by a given prompt, which is a significant application of Natural Language Processing (NLP) in the education area. In this work, we focus on solving the Chinese AES problem by Pre-trained Language Models (PLMs) including state-of-the-art PLMs BERT and ERNIE. A Chinese essay dataset has been built up in this work, by which we conduct extensive AES experiments. Our PLMs-based AES models acquire 68.70% in Quadratic Weighted Kappa (QWK), which outperform classic feature-based linear regression AES model. The results show that our methods effectively alleviate the dependence on manual features and improve the portability of AES models. Furthermore, we acquire well-performed AES models with a limited scale of the dataset, which solves the lack of datasets in Chinese AES.
Ontology-Based Question Answering System for an Academic Domain
Authors: Gabriela A García-Robledo , José A Reyes-Ortiz , Beatriz A González-Beltrán , Maricela Bravo
Published: November 2021

The development of question answering (QA) systems involves methods and techniques from the areas of Information Extraction (EI), Natural Language Processing (NLP), and sometimes speech recognition. A user interface that involves all these tasks requires deep development to improve the interaction between a user and a device. This paper describes a Spanish QA system for an academic domain through a multi-platform user interface. The system uses a voice query to be transformed into text. The semi-structured query is converted into SQWRL language to extract a system of ontologies from an academic domain using patterns. The answer of the ontologies is placed in templates classified according to the type of question. Finally, the answer is transformed into a voice. A method for experimentation is presented focusing on the questions asked in voice and their respective answers by experts from the academic domain in a set of 258 questions, obtaining a 92% accuracy.
BERT_SE: A Pre-Trained Language Representation Model for Software Engineering
Authors: Bortoli Fávero Eliane Maria De , Casanova Dalcimar
Published: November 2021

The application of Natural Language Processing (NLP) has achieved a high level of relevance in several areas. In the field of software engineering (SE), NLP applications are based on the classification of similar texts (e.g. software requirements), applied in tasks of estimating software effort, selection of human resources, etc. Classifying software requirements has been a complex task, considering the informality and complexity inherent in the texts produced during the software development process. The pre-trained embedding models are shown as a viable alternative when considering the low volume of textual data labeled in the area of software engineering, as well as the lack of quality of these data. Although there is much research around the application of word embedding in several areas, to date, there is no knowledge of studies that have explored its application in the creation of a specific model for the domain of the SE area. Thus, this article presents the proposal for a contextualized embedding model, called BERT_SE, which allows the recognition of specific and relevant terms in the context of SE. The assessment of BERT_SE was performed using the software requirements classification task, demonstrating that this model has an average improvement rate of 13% concerning the BERT_base model, made available by the authors of BERT. The code and pre-trained models are available at https://github.com/elianedb.
The use of Big Data in Machine Learning Algorithm
Authors: Kee Wong Yew
Published: November 2021

In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets. Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Such minimal human intervention can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper aims to analyse some of the different machine learning algorithms and methods which can be applied to big data analysis, as well as the opportunities provided by the application of big data analytics in various decision making domains.
Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition
Authors: Randellini Enrico , Rigutini Leonardo , Saccà Claudio
Published: November 2021

The face expression is the first thing we pay attention to when we want to understand a person’s state of mind. Thus, the ability to recognize facial expressions in an automatic way is a very interesting research field. In this paper, because the small size of available training datasets, we propose a novel data augmentation technique that improves the performances in the recognition task. We apply geometrical transformations and build from scratch GAN models able to generate new synthetic images for each emotion type. Thus, on the augmented datasets we fine tune pretrained convolutional neural networks with different architectures. To measure the generalization ability of the models, we apply extra-database protocol approach, namely we train models on the augmented versions of training dataset and test them on two different databases. The combination of these techniques allows to reach average accuracy values of the order of 85% for the InceptionResNetV2 model.
Convolutional Neural Network for Offline Signature Verification via Multiple Classifiers
Authors: Alsuhimat Fadi Mohammad , Mohamad Fatma Susilawati
Published: November 2021

The signature process is one of the most significant processes used by organizations to preserve the security of information and protect it from unwanted penetration or access. As organizations and individuals move into the digital environment, there is an essential need for a computerized system able to distinguish between genuine and forged signatures in order to protect people's authorization and decide what permissions they have. In this paper, we used Pre-Trained CNN for extracts features from genuine and forged signatures, and three widely used classification algorithms, SVM (Support Vector Machine), NB (Naive Bayes) and KNN (k-nearest neighbors), these algorithms are compared to calculate the run time, classification error, classification loss and accuracy for test-set consist of signature images (genuine and forgery). Three classifiers have been applied using (UTSig) dataset; where run time, classification error, classification loss and accuracy were calculated for each classifier in the verification phase, the results showed that the SVM and KNN got the best accuracy (76.21), while the SVM got the best run time (0.13) result among other classifiers, therefore the SVM classifier got the best result among the other classifiers in terms of our measures.
K12 Senior High School Students Academic Performance Monitoring System for Private Institutions with Decision Support System
Authors: G. Domingo Winston , N. Lardizabal Erwin , Marie V. Toledo Sheena
Published: November 2021

The K to 12 Basic Education program uses standards and a competency-based grading system. These are found in the curriculum guides. All grades will be based on the weighted raw score of the learners’ summative assessments. Senior High School Students have been graded on three categories the written work, performance tasks, and quarterly assessments. Technology plays a substantial role in helping teachers in the progress, communication, application, and grading of assessment tasks. Thus, this study aims to produce a feasible computerized grading system that will address these issues and problems encountered by the teachers in recording and monitoring grades. The developed K12 Senior High School Students Academic Performance Monitoring System for Private Institutions with Decision Support System was compliant with ISO 25010 quality standards as assessed by SHS Principal, SHS Faculty/ Teachers, and IT Experts. The developed system followed the policy and guidelines set by the department of education in the grading system. The decision support system of the developed system helped the senior high school principal and teachers in monitoring the grades and performance of the students in every subject. Monitoring the performance of the students academically and non-academically, and classifying the students who have at risk in their academic performance.
Human Computer Interaction Pengelolaan Open Journal Systems berbasis Interaction Framework
Authors: Retnoningsih Endang , Alfian Ari Nurul
Published: November 2021

Abstrak: Open Journal Systems (OJS) adalah aplikasi perangkat lunak open source untuk mengelola dan menerbitkan jurnal ilmiah, untuk mendukung fungsinya tersebut Open Journal Systems (OJS) secara umum memiliki fitur yang dalam perkembangan setiap versinya mengalami perbaikan dan penyesuaian dengan kebutuhan. Proses penerbitan jurnal sangat berdampak pada proses akreditasi jurnal, oleh karena itu perlu dipahami proses bisnis alur pengiriman artikel dari author menggunakan Open Journal Systems (OJS) hingga artikel di publish. Dalam sistem diperlukan pemodelan perencanaan, desain dan penggunaan interface antara pengguna dan komputer, interaksi ini dikenal sebagai interaksi antara manusia dengan komputer (Human Computer Interaction). Framework digunakan untuk memahami interaksi sistem komputer memberikan fasilitas bahasa antara bahasa user  dan bahasa sistem. Pengguna (user) dan sistem komputer (system) dapat saling berinteraksi menggunakan beberapa cara interaksi yaitu style kombinasi form fill-in dan direct manipulation. Open Journal Systems (OJS) 3.x. memiliki tampilan yang lebih ringkas, mudah dan flexible karena dibangun dengan prinsip Interaction Framework melibatkan user, input, system, output.
 Kata kunci: framework, HCI, jurnal, OJS, PKP
 Abstract: Open Journal Systems (OJS) is an open source software application to manage and publish scientific journals, to support this function Open Journal Systems (OJS) generally has features that in each version's development experience improvements and adjustments to the needs. The process of publishing a journal greatly affects the accreditation process of the journal, therefore it is necessary to understand the business process of sending articles from the author using Open Journal Systems (OJS) until the article is published. In the system required modeling planning, design and use of interfaces between users and computers, this interaction is known as the interaction between humans and computers (Human Computer Interaction). Framework is used to understand the interaction of computer systems to provide language facilities between the user's language and system language. Users (users) and computer systems (systems) can interact with each other using several modes of interaction, namely the combination style form fill-in and direct manipulation. Open Journal Systems (OJS) 3.x. has a more concise, easy and flexible appearance because it is built on the principle of Interaction Framework involving users, input, system, output.
 Keywords: framework, HCI, journals, OJS, PKP
MECHANICAL AND MICROSTRUCTURAL PROPERTIES OF BRASS REINFORCED WITH COCONUT SHELL ASH POWDER
Authors: Orisadare Oluseyi , Olawore Ayodeji S. , Ibiwoye Michael O. , Ponle Eyitayo A. , Odeyemi Omolola T. , Kegbeyale Opeyemi S.
Published: November 2021

Metal matrix composites (MMCs) are materials in which metals are reinforced with other materials preferably of lower cost to improve their properties. In this present study, Brass /Coconut Shell Ash powder (CSAp) composites having 0%, 5%, 10% and 15% weight CSAp were fabricated by stir-casting method. The tensile strength of the MMCs is in the order 15% > 10% >5% > 0% of CSAp. Hardness of the MMCs increases slightly with increase in the percentage body weight of CSAp, in the order 15% > 10% >5% > 0% of CSAp. The highest impact energy of 61 J was obtained for 5% CSAp. However, significant improvement in tensile strength and hardness values was noticeable at the 15%. Scanning Electron Microscopy (SEM) analysis of the MMCs shows dendritic structures formation, the reinforcing particles (CSAp) are visible and clearly delineated in the microstructure. Hence, this study has established that reinforcing brass matrix with coconut shell ash particles can result in the production of low cost brass composites with enhanced tensile strength, hardness and impact energy values.
Extractive Content and Colour Properties of 11-Year-Old Superior Teak Wood
Authors: Lukmandaru Ganis , Falaah Alfian Nur , Listyanto Tomy , Rodiana Dian
Published: November 2021

There is a lack of understanding about the properties of fast-growing teak trees harvested in young stage. Superior teak woods (11 years, 5 trees) grown in Pemalang FMU were assessed in vertical and radial positions for its extractive contents and colour properties. Extractions were conducted using a sequence of toluene, ethanol, and hot water. The color evaluation was performed using CIEL*a*b*’s chromaticity system. Toluene-, ethanol-, hot-water-, and total extractive contents ranged between 1.16~5.00%; 0.29~1,04%, and 0.98~2.35%, and 4.03~7.31%, respectively. For color properties, the brightness (L*), redness (a*), and yellowness (b*) indices ranged from 49.50~57.42, 6.08~10.81, and 20.47~25.74, espectively.Toluene- and total extractive contents were greater in heartwood than in sapwood, while the reverse occurred for the hot-water extractive content. Toluene- and total extractive contents were higher in outer heartwood than in inner heartwood. With regard to colour properties, L* and a* values were significantly differed between sapwood and heartwood. Vertical stem analysis of samples obtained at bottom, center, and top showed the toluene extractive content, total extractive content, and a* levels of center part of the tree were found to be lower than other parts. The L* were negatively correlated with extractive contents, with the highest correlation degree (-0.83**) being observed in the total extractive content in the heartwood. It is also noticed that superior teak wood wood was less darker and extractive contents than the heartwood control of a 72-year-old tree. Therefore, the properties measured in the present work might be related with natural durability of the woods.
PENGARUH SIKAP KEUANGAN TERHADAP PERILAKU MANAJEMEN KEUANGAN PADA UMKM BATIK JUMPUTAN ( Stusi Kasus pada UMKM Batik Jumputan di Kelurahan Tahunan)
Authors: Agus Dwi Cahya  , Heni Nur Amrina  , Sinta Oktaviyani
Published: November 2021

Tujuan penelitian ini adalah untuk mengetahui pengaruh sikap keuangan terhadap perilaku manajemen pada UMKM Batik Jumputan di Kelurahan Tahunan. Jenis penelitian ini adalah penelitian deskriptif dengan pendekatan kuantitatif. Subjek penelitian pemilik UMKM Batik Jumputan di Kelurahan Tahunan. Data primer di peroleh dari angket 6 responden. Teknik pengambilan sampel menggunakan metode purposive sampling. Data yang diperoleh dari penyebaran kuisioner. Kemudian data di analisis menggunakan analisis linear berganda. Hasil penelitian pada uji t menunjukkan bahwa variabel sikap keuangan (X1) tidak berpengaruh terhadap variabel perilaku manajemen keuangan (Y) dengan nilai sebesar 0,445.
PENGARUH KEJELASAN SASARAN ANGGARAN, PENGENDALIAN INTERNAL DAN KUALITAS SUMBER DAYA MANUSIA TERHADAP AKUNTABILITAS KINERJA KELURAHAN DI KECAMATAN RUNGKUT KOTA SURABAYA
Authors: Shabrina Salsabila  , Tituk Diah Widajantie
Published: November 2021

Tujuan penelitian ini adalah untuk mengetahui pengaruh Kejelasan Sasaran Anggaran, Pengendalian Internal Dan Kualitas Sumber Daya Manusia Terhadap Akuntabilitas Kinerja Kelurahan Rungkut Penelitian ini merupakan penelitian kuantitatif dengan jumlah sampel 46. Metode pengumpulan data menggunakan kuesioner. Data dianalisis dengan Partial Least Square. Hasil penelitian menunjukkan bahwa variabel Pengendalian Internal, Kualitas Sumber Daya Manusia berpengaruh terhadap Akuntabilitas Kinerja dengan t-statistik > 1,96, Clearance Of Budget GoalsKejelasan Sasaran Anggaran tidak berpengaruh terhadap Akuntabilitas Kinerja dan nilai R2 model sebesar 0,748 atau 74,8%.
RANCANG BANGUN SISTEM INFORMASI AKUNTANSI PEMBAYARAN UANG SEKOLAH BERBASIS CLIENT SERVER
Authors: Vivi Kumalasari  , Sugiarto Sugiarto
Published: November 2021

Along with the development of technology, computerized systems are needed in the business world. The computer has a function as a data processing tool that will assist in completing work quickly and precisely. MA Nurul Ulum as an educational institution, especially in the implementation of payment administration activities, still uses a manual or conventional system, so there are still many shortcomings and obstacles that result in a job not being able to run properly. Therefore we need a new system, namely a computer-based payment administration system in order to be able to manage and process payment data quickly, because with computer technology both students and other parties who want to know information related to tuition payments can get it quickly.

The purpose of this study is to improve the quality of service to students or parents in making tuition payments. The advantage of the system that will be made is that it provides an administrative information system for paying school fees so that it can make it easier to perform data processing and data retrieval. With an administrative information system that has been integrated in a database, it will facilitate the process of financial calculations and the existence of a Client Server-based school administrative information system will connect between sections, namely the administrative section, school treasurer, principal and head of the foundation making it easier to access financial information. school any time
FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN INVESTASI PROPERTI PADA KOTA BATAM
Authors: Hesniati  , Dedy
Published: November 2021

Perilaku keputusan investasi mulai menarik perhatian akademisi internasional. Penelitian ini dilakukan untuk mengetahui pengaruh behavioral finance dengan menerapkan variabel overconfidence, representativeness, mental accounting, loss aversion dan herding terhadap keputusan investasi. Jumlah sampel yang dikumpulkan dan digunakan dalam penelitian berjumlah 203 responden di Kota Batam dan dianalisis menggunakan metode regresi linier berganda. Hasil penelitian menunjukkan bahwa overconfidence, mental accounting, dan herding berpengaruh positif signifikan terhadap keputusan investasi, sedangkan variabel representativeness dan loss aversion tidak berpengaruh terhadap keputusan investasi.