Factors that Influence Purchase on Cinema Online Tickets Using Tix-Id Application, through Buying Interest

The purpose of this study was to determine the factors that affect directly and indirectly such as promotion, convenience, and security on the decision to purchase online cinema tickets with the TIX ID application through consumer buying interest. The data collection technique uses a questionnaire that is distributed online via the google application form. Data analysis methods include validity, reliability, classical assumptions, and SEM tests. The number of samples in this study were 200 respondents who had met the minimum requirements for using SEM (structural equation models). Data processing using SPSS and AMOS. The results showed that promotion and convenience factors had a significant effect on purchase intention, while security did not have a significant effect on purchase intention. The results of statistical tests show that there is no influence of the promotion, convenience, and security variables on purchasing decisions. Furthermore, the results show that promotion and convenience factors indirectly influence purchasing decisions through purchase intention.

Reviewer Acknowledgements for Journal of Food Research, Vol. 10 No. 6

Journal of Food Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated. Journal of Food Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please contact us for the application form at: [email protected] Reviewers for Volume 10, Number 6 Antonello Santini, University of Napoli "Federico II", Italy Corina-aurelia Zugravu, University of Medicine and Pharmacy Carol Davila, Romania Elke Rauscher-Gabernig, Austrian Agency for Health and Food Safety, Austria Elsa M Goncalves, Instituto Nacional de Investigacao Agrária (INIA), Portugal Jose Maria Zubeldia, Clinical Regulatory Consultant for the HIV & Hepatitis C initiative at Drugs for Neglected Diseases Initiative, Spain Lucas Massaro Sousa, IFP Energies Nouvelles, France Meena Somanchi, United States Department of Agriculture, United States Sefat E Khuda, Centre for Food Safety and Applied Nutrition, United States Xingjun Li, Academy of the National Food and Strategic Reserves Administration, China

A New Prediction Approach for Preventing Default Customers from Applying Personal Loans Using Machine Learning

In the Egyptian banking industry, loan officers use pure judgment to make personal loan approval decisions. In this paper, we develop a new predictive method for default customers' loans using machine learning. The new predictive method uses the available personal data and historical credit data to evaluate the credit trust-worthiness of customers to obtain loans. We used the ABE dataset for training and testing, as we used 10 features from the application form and i- score report class that could give great help to credit officers for taking the right decision through avoiding customer selection using random techniques. The collected dataset was analysed by using various machine learning classifiers based on important selected features, to obtain high accuracy. We compared the performance of several machine learning classifiers before and after feature selection. We have found that in terms of high accuracy, the most important features are (activity – income – loan) and in terms of better performance the decision tree classifier has surpassed any other machine learning classifier with significant prediction accuracy of almost 94.85%.

The importance of understanding web frameworks for statisticians

As the web and computational technology carry on growing and huge data are yielded on the web, these technologies are turn into important for a statisticians' work. It is worthy that statistician always gain knowledge of new aspects of computation. A lack of computational reasoning skills gets it hard for statisticians to work in a team. If statistician do not take up this computations challenge more coherently, statistics will be marginalized and take away related at a time when its data science reputation grow up significantly. In addition, people rely on the information on web, for whatever their reason.Since web growth, several major transforms have evolved, from the most rudimentary concept until a new model of interaction between humans and machines. Simple interactivity denotes that users can enter data to the application on a web page, then click on button, and then appears a new web page with the results of the computations. This application has been known as web application with most are built with the utility of web frameworks which is a package of programming tasks that offering services through the Internet. Therefore, this paper gives short overview the importance of Flask web frameworks to assist the lack of computational skill of statistician over web application in the simplest possible way and how web framework is used to create a web page with application form, run the application to compute statistical calculation which has been deployed in local server, and produce a web page with the solutions

Identification of higher education administration applications efforts to improve digital-based academic services

The authors believe that the presence of technology, especially digital applications, has not only made it easier for the work of a limited group such as business and banking and other businesses, but this digital application has also provided extraordinary convenience to educational administration matters especially universities. We have collected evidence of researchers' findings in technology effectiveness in administrative services at universities. Furthermore, this information requires a comprehensive study to summarize the data as a discussion material to identify how the ease of providing high-quality applications can be improved with digital technology application services. In this field, we use a coding application form for a comprehensive data evaluation and conclude that the data findings are significant in answering the problem on the principle of high validity. Based on this, we can understand that technology has revolutionized administrative services at universities, including managing student literacy both from study entry and graduation, it is also helpful for academic services, financial affairs, academic development management. We believe this data is in answering problems and the existence of these findings is an essential input for efforts to develop the application studies using applications to improve the quality of high change services in the future.

Strategi Pembentukan Bilangan untuk Menyederhanakan Perhitungan pada Teorema Pythagoras

This research aims to describe the number formation strategy as an application form of the Pythagorean theorem. A number formation strategy to simplify calculations on the application of the Pythagorean theorem is needed since many mathematical problems solving involve Pythagorean theorem. In some mathematical problems, the Pythagorean theorem is only used as a tool to answer the real problem, for example is a problem in Geometric. This research applies a literature review method. There are three steps should be met to use the number formation strategy in this paper, namely: (1) ensuring that the two side lengths of a right triangle have the same factor, (2) changing integers other than the same factor (if it is the same, select one) becomes the root number, and (3) determining the side in question, if what is being asked is the longest side (hypothenuse) then the two numbers in the same root (radicand) must be added, otherwise if what is being asked is not the hypotenuse (not the longest side), then the two radicans must be subtracted while still being positive.

Agronomic Biofortification with Se, Zn, and Fe: An Effective Strategy to Enhance Crop Nutritional Quality and Stress Defense—A Review

Human micronutrient deficiencies are a widespread problem worldwide and mainly concern people whose diet (mainly of plant origin) consists of insufficient amounts of critical vitamins and minerals. Low levels of micronutrients in plants are linked to, i.e., their decreasing concentration in soils and/or low bioavailability and presence of abiotic stresses which disturb the proper growth and development of plants. Agronomic biofortification of crops is a very promising way to improve the concentration of micronutrients in edible parts of crops without compromising yield and is recognized as the cheapest strategy to alleviate hidden hunger worldwide. The review is focused on the factors influencing the effectiveness of biofortified crops (a type of application, form, and a dose of applied microelement, biofertilizers, and nanofertilizers). Also, the accumulation of zinc, selenium, and iron in edible parts of crops, their effects on metabolism, morphological and yield parameters, and an impact on plants’ defense mechanisms against abiotic stress like salt, high/low temperature, heavy metal, and drought was discussed. Finally, the directions of future agronomic biofortification studies are proposed.

Effectiveness of the dementia nursing competence e-learning program for nurses in acute care hospitals in Japan

Objective The number of older patients with dementia hospitalised in acute care hospitals increased and these patients underwent physical restrictions leading to a degeneration of essential mental and physical function. The dementia nursing competence e-learning program with audio-visual materials has been developed in acute care hospitals. Methods An application form that explained the research was distributed to 1,944 registered nurses from seven hospitals, and 110 people applied. Nurses used an e-learning program for a month in May and practiced applying the knowledge learned from programs June through November 2020. The nurses completed a questionnaire survey at four periods: first (before program/baseline), second (after program), third (three months later), and fourth (six months later). In the second, third, and fourth periods, ‘Technical knowledge of the dementia nursing’ and ‘dementia nursing intervention’ were significantly improved as compared with the first. In the fourth period, ‘confidence of reduce of physical restriction’ showed significant improvement compared to the first. In ‘Ethical sensitivity scale of nurses’, the first of the four sub-scales significantly increased as compared with the first period. In ‘Self-assessment Scale of Nursing Practice for Elderly Patients with Cognitive Impairment with the Aim of Person-centred Care in Acute Care Hospitals’, the fourth sub-scale showed significant improvement compared to the first. In the ‘Personhood’ sub- scale of the Japanese version of Approaches to Dementia Questionnaire, the fourth period showed a significant increase compared to the first. Conclusion The results suggest that this program was effective and led to reduced physical restrictions in nursing practice.

Reviewer Acknowledgements for Sustainable Agriculture Research, Vol. 10, No. 4

Sustainable Agriculture Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated. Sustainable Agriculture Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please contact us for the application form at: [email protected] Reviewers for Volume 10, Number 4 Aaron Norris, Texas Tech University, USA Bed Mani Dahal, Kathmandu University, Nepal Darwin Pangaribuan, Lampung University, Indonesia Jiban Shrestha, Nepal Agricultural Research Council, Nepal Katarzyna Panasiewicz, Poznan University of Life Sciences, Poland Luciano Chi, Sugar Industry Research and Development Institute, Belize Manuel Teles Oliveira, University Tras os Montes Alto Douro (UTAD), Portugal Patrice Ngatsi Zemko, University of Yaoundé I, Cameroon Roberto José Zoppolo, Instituto Nacional de Investigación Agropecuaria (Uruguay), Uruguay Tenaw Workayehu, Hawassa Research Center, Southern Agricultural Research Institute, Ethiopia Waqar Majeed, University of Agriculture, Pakistan

Reviewer Acknowledgements for International Business Research, Vol. 14, No. 12

International Business Research wishes to acknowledge the following individuals for their assistance with peer review of manuscripts for this issue. Their help and contributions in maintaining the quality of the journal are greatly appreciated. International Business Research is recruiting reviewers for the journal. If you are interested in becoming a reviewer, we welcome you to join us. Please contact us for the application form at: [email protected] Reviewers for Volume 14, Number 12   Ahnaf Ali Alsmady, University of Tabuk, Saudi Arabia Anca Gabriela Turtureanu, “DANUBIUS” University Galati, Romania Anna Maria Calce, University of Cassino and Southern Lazio, Italy Benjamin James Inyang, University of Calabar, Nigeria Bruno Ferreira Frascaroli, Federal University of Paraiba, Brazil Chokri Kooli, International Center for Basic Research applied, Paris, Canada Chuan Huat Ong, SEGi University Kota Damansara, Malaysia Chunyu Zhang, Guangxi Normal University, China Cristian Marian Barbu, “ARTIFEX” University, Romania Francesco Scalera, University of Bari "Aldo Moro", Italy Giuseppe Granata, University Mercatorum of Rome, Italy Gnahe franck E, JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS, COTE D’IVOIRE Hanna Trojanowska, Warsaw University of Technology, Poland Henrique Fátima Boyol Ngan, Institute for Tourism Studies, Macao, Macao Hind Ahmed, Ahfad university for Women, Sudan Ivano De Turi, LUM Jean Monnet University, Italy Janusz Wielki, Opole University of Technology, Poland L. Leo Franklin, Bharathidasn University, India Ladislav Mura, University of Ss. Cyril and Methodius in Trnava, Slovakia Lee Yok Yong, Universiti Putra Malaysia, Malaysia Leow Hon Wei, SEGi University, Malaysia MALIK ELHAJ, University of Pittsburgh at Bradford, USA Marcelino José Jorge, Evandro Chagas Clinical Research Institute of Oswaldo Cruz Foundation, Brazil Marco Valeri, Niccolò Cusano University, Italy Maria-Madela Abrudan, University of ORADEA, Romania Mohammad S. Knio, City University College of Ajman, UK Mustafa Özer, Anadolu University, FEAS, Turkey Omer Allagabo Omer Mustafa, Sudan Academy for Banking and Financial Sciences, Sudan Pascal Stiefenhofer, University of Exeter, UK Rosemary Boateng Coffie, Kwame Nkrumah University of Science and |Technology, Ghana Roxanne Helm Stevens, Azusa Pacific University, USA Sachita Yadav, Arun Jaitley National Institute of Financial Management, India Sara Saggese, University of Naples Federico II, Italy Shrijan Gyanwali, Pokhara University, Nepal Stoyan Neychev, University of National and World Economy, Bulgaria Sumathisri Bhoopalan, SASTRA Deemed to be University, India Wanmo Koo, Western Illinois University, USA Yan Lu, University of Central Florida, USA