Reviewerly/exHarmony huggingface dataset:
PERANCANGAN DESAIN BASIS DATA SISTEM INFORMASI GEOGRAFIS TANAH PENDUDUK DENGAN MENERAPKAN MODEL DATA RELASIONAL ( STUDI KASUS : DESA TUMBANG MANTUHE KABUPATEN GUNUNG MAS PROVINSI KALIMANTAN TENGAH )

Database design is a data design process that is used to support the operational activities and goals of organizations and agencies. The use of databases on the geographic information system of residents' lands makes it possible to store, change, and display all data quickly and easily. One of the factors that become a problem in database design is the point of view of seeing data that varies between designers, programmers, and end-users. Therefore we need a methodology in good database design by applying procedures, techniques, tools, and documentation. The method used in this study used the Research and Development (R&amp;D) method, while the database design method used the Database Life Cycle (DBLC) method. The research variables were database design for the geographic information system of resident land with a relational data model. Research aspects include conceptual design, logical design, and physical design. The final result of this research is to produce 10 types of conceptual entities, produce a relationship diagram of the ten logical entities, and produce a physical design consisting of user_admin, user_pengguna, data_desa, data_kecamatan, data_kabupaten, jenis_tanah, data_penduduk, data_buku_c, data_mutasi, and data_sppt tables.
A User Identity Management System for Cybercrime Control

The rapid growth in the number of online services has lead to an increasing number of different identities managed by each user that makes people feel overloaded and suffer from password fatigue. This poses a serious problem and makes people unable to control and protect their digital identities against identity theft. As organizations grow and adds services such as ecommerce and global remote access of services, controlling who is accessing what kind of information is also becoming a difficult task. This research therefore, presents the development of a user identity management system for cybercrime control. The four stages of an identity management life cycle were developed using some mathematical tools. A two-factor authentication technique was used in developing the system, the traditional username and password was also included with biometric features for robustness. A simulation was run on the model for users ranging from 10 to 1000 using life wild dataset, and accuracy was found to be 98.01%.
The Moderating Effect of Leaders’ Experience on Leadership Styles and Crisis Management in the Jordanian Hotel Sector

Crisis management is vital for hotels to survive in the present competitive business climate in Jordan. Previous research into leadership and crisis management produced inconclusive results. Therefore, the influence of a leader’s experience on the relationship between leadership styles and crisis management needed to be further investigated and analyzed. A quantitative study involving a self-administered questionnaire was carried out using respondents in management roles at 3 to 5-star hotels operating in Jordan. The Smart-PLS 3.0 was used to analyze the survey data. Results show that transformational and transactional leadership has a positive and significant relationship with crisis management practice. Furthermore, a leader’s experience plays an important role in improving the relationship between a transformational leadership style and crisis management. However, the results show that although, leadership style is important, a leader’s experience can be of even greater value if they possess a transformational leadership style. From the perspective of contingency theory, when managing a crisis, the style of leadership is contingent on situational factors and a leader with experience may have an extra advantage in influencing his/her subordinates to practice crisis management.
Analysing The Effectiveness Of An Extensive Reading On Grade Eleven Students’ Reading Comprehension

This research is about the Extensive Reading Strategy to interest Students in reading comprehension. Extensive Reading is reading as much as possible that the material of the text not be chosen by the teacher, but the students can choose the title of the books, novel by themselves. The researcher believes that this strategy can make the students more interested in learning English, especially in reading comprehension. This research did about two months in SMA PELITA TIGA NO. 3 Jakarta. The population of this research consists of 120 students sitting in four classes. The samples of the research were taken by the means of cluster random sampling from the population, class XI IPS 2 as the control class and XI IPA 1 as the experimental class, with the total sample number of 60 students consisted of 30 students each class. The adopted research methodology was quasi-experimental research, with the research design post-test only control group design. To collect data the writer used instruments of question items. The statistic method used to analyse the data was a T-test using SPSS through the testing of Null Hypotheses, which was preceded by the normality test and homogeneity test as the pre-requisite to the data analysis. The result of the test showed that H0 is rejected and Ha is accepted which proves that there is significant effect of the use of Extensive Reading on grade eleven students’ Reading Comprehension at SMA PELITA TIGA NO. 3 Jakarta in the academic year of 2019/2020.
Indonesian theology students' foreign language reading anxiety and reading performance: A correlational study

This study investigated Theology students’ Foreign Language Reading Anxiety (FLRA) and the relationship between their FLRA and their reading achievement. A number of 63 Theology students participated in this quantitative study. A questionnaire developed by Saito et al. (1999) was used in obtaining the data for the study. The study was conducted to fill the void in the literature on the scarcity of empirical research on FLRA in the Indonesian English for Specific Purpose (ESP) context, especially among Theology students who were required to read a lot of English text and thus were very likely susceptible to experience reading anxiety. The study found that in general, the students experienced a medium level of FLRA. Low self-perceived reading competence and the unfamiliar topic of reading passages were reported to be attributed to higher FLRA levels whilst the formation of reading habits, reading exposure, and reading strategies were believed to reduce reading anxiety. This study further found a statistically significant negative correlation between the students’ FLRA and their reading achievement, albeit the strength being weak. This finding suggested that students’ FLRA could be a factor hampering learning. The present study’s specific finding on the possible positive impacts of reading strategies and the duration of reading exposure may indicate the urgency to incorporate these two aspects in the instructional design of English reading classes. Based on the findings, contributions, limitations, and suggested future studies were formulated.
PORTRAIT OF EFL LEARNERS’ WRITINGS: ERRORS, CHALLENGES AND SOLUTIONS

This study aimed to analyze EFL learners’ writings. It focused on portraying the most dominant grammatical and lexical errors in writing. It also explored challenges and alternative solutions from students’ perspectives. A qualitative approach in terms of descriptive design was applied in this study. The participants were thirty sophomores from four different faculties of a private university that were selected using stratified random sampling. Writing test, questionnaire, and interview were instruments to collect the data. Collecting, identifying, classifying, and describing were modified data analysis stages used in this study. The results revealed 445 grammatical errors and 111 lexical errors found in students’ writing. Limited knowledge of grammar and vocabulary, lack of practice and motivation, and unsatisfactory writing skills are the most common students’ writing challenges. The students also believed that review and feedback, various material, exercise and assignment exposure, and supporting technological tools are alternative solutions to anticipate the errors and challenges. The data of writing errors, challenges, and alternative solutions provide beneficial insights for the lecturers to formulate proper teaching methods, materials, and activities in writing.
Non-local spatially varying finite mixture models for image segmentation

In this work, we propose a new Bayesian model for unsupervised image segmentation based on a combination of the spatially varying finite mixture models (SVFMMs) and the non-local means (NLM) framework. The probabilistic NLM weighting function is successfully integrated into a varying Gauss–Markov random field, yielding a prior density that adaptively imposes a local regularization to simultaneously preserve edges and enforce smooth constraints in homogeneous regions of the image. Two versions of our model are proposed: a pixel-based model and a patch-based model, depending on the design of the probabilistic NLM weighting function. Contrary to previous methods proposed in the literature, our approximation does not introduce new parameters to be estimated into the model, because the NLM weighting function is completely known once the neighborhood of a pixel is fixed. The proposed model can be estimated in closed-form solution via a maximum a posteriori (MAP) estimation in an expectation–maximization scheme. We have compared our model with previously proposed SVFMMs using two public datasets: the Berkeley Segmentation dataset and the BRATS 2013 dataset. The proposed model performs favorably to previous approaches in the literature, achieving better results in terms of Rand Index and Dice metrics in our experiments.
STUDENTS PERCEPTION ON THE TEACHER NONVERBAL COMMUNICATION AT THE SEVENTH GRADE STUDENTS OF MTSS NAGARI BINJAI

ABSTRACT&#x0D; The research was due to several problems found in the field: the teacher did not usually used nonverbal communication in English classroom. It is indicated by the English teacher when the researcher did the preliminary research when teaching learning process in this class. It is indicated when the teacher try to silent to make the students pay attention but the fact some of students still make noise and not pay attention to the teacher in this class. &#x0D; The result of the research: first students perception on teacher’s gesture with 34,09% in rating quality of good. Second, students perception on teacher’s facial expression with 36,4% in rating quality of good. Third, students perception on teacher’s eye contact with 27,7% in rating quality of moderate. Fourth, students perception on teacher’s pitch with 18,45% in rating quality of poor. Fifth, students perception on teacher’s rate with 36,9% in rating quality of good. Sixth, students perception on teacher’s pause with 36,4% in rating quality of good. Seventh, students perception on the teacher’s friendship and warmth with 31,85% in rating quality of good.
Classifying literary genres

Classifying literary genres has always been methodologically confined to philological methods and what is commonly known as Vector Space Clustering (VSC). The problem has been exasperated with the widening gap between computational theory and traditional analysis of literary texts. Towards finding a solution to this problem, the current study utilizes a synergetic approach that brings together two established methods. First, a computational model of genre classification is drawn upon for identifying concept-based, rather than word-bound, topics, where the representation of texts is secured via the ‘bag of concepts’ (BOC) model as well as the sense-restricted knowledge and meaningful links holding between and among concepts; relatedly, the two model strands of explicit semantic analysis (ESA) and ConceptNet have enacted text classification. Second, a contextual lexical semantic approach (CRUSE, 1986, 2000) is employed so that the contextual variability of word meanings and concepts can be tackled within the confines of the target literary genres classified. The findings of present study have shown that the current composite approach of computational and semantic models has resulted in improved performance in classifying literary genres, especially with respect to delineating the links between each cluster’s document-members and generalizing about their unifying genre. Further implications have emerged from the present study, namely, the benefits reserved for digital libraries and the process of archiving, where literary-text classification has proven problematic to both users and readers in many cases.
Correction to: Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters

Page 2: Column 2, lines 2-4, previously read: “Specifically, we consider a decision maker that, after a proper training, is able to select the most suitable heuristic for compute the placement for each VM requested by end users”.
Enhancement of Natural Language to SQL Query Conversion using Machine Learning Techniques

In the age of information explosion, there is a huge data that is stored in the form of database and accessed using various querying languages.The major challenges faced by a user accessing this data is to learn the querying language and understand the various syntax associated with it.Query given in the form of Natural Language helps any naïve user to access database without learning the query languages.The current process of conversion of Natural Language to SQL Query using a rule-based algorithm is riddled with challenges --identification of partial or implied data values and identification of descriptive values being the predominant ones.This paper discusses the use of a synchronous combination of a hybrid Machine Learning model, Elastic Search and WordNet to overcome the abovementioned challenges.An embedding layer followed by a Long Short-Term Memory model is used to identify partial or implied data values, while Elastic Search has been used to identify descriptive data values (values which have lengthy data values and may contain descriptions).This architecture enables conversion systems to achieve robustness and high accuracies, by extracting meta data from the natural language query.The system gives an accuracy of 91.7% when tested on the IMDb database and 94.0% accuracy when tested on Company Sales database.
An Exploration of the Construction of Inner Driving Force of Cultural Education in Vocational Colleges

Cultural education is closely related to individual development and the needs for economic, social, and technological development, which, while aiming at improving students’ overall professionalism, respects their subjective consciousness and initiative, highlights the development of personality and individual potential, and designs and improves educational activities that are characterized by cultivating people’s ability to make innovation, start a business, and form a healthy personality. Taking problems existing in the cultural education in vocational colleges as the cut-in point, this paper explored the inner driving force of cultural education in the new era and tried to discuss the concept, objectives, content and mechanism of cultural education by pivoting to individual autonomy, expertise, and development goals, with the hope that the inner driving force of cultural education could be effectively carried out.
Effectiveness of Debating Method in Teaching Advanced English Speaking for Non English Department Students

College students in higher levels of semester from non English department require advanced stage of learning English method. Therefore, this research takes English debating as advanced English learning method for non English Department students. Aims of this research are (1) to present the students’ score of English speaking skill in debating performance; and (2) to explain the effectiveness of debating method in teaching advanced English speaking based on lecturer’s and college students’ point of view. This research applies qualitative descriptive to present statistical data form and purposive sampling technique for selecting the respondents. This research took 30 students of fifth grade at STMIK Sinar Nusantara Surakarta in academic year 2018/2019. In this research, 5% students scored 50, 18 % students scored 60, 42% students scored 70, and 32% students scored 80 for the fluency aspect. From the accuracy aspect, 12% scored 50, 25% students scored 60, 35% students scored 70, and 28% students scored 80. From the pronunciation aspect, 10% students scored 50, 22% students scored 60, and 38% students scored 70, and 30% students scored 80. From the intonation aspect, 10% students scored 50, 30% students scored 60, 40% students scored 70, and 20 % students scored 80. As a conclusion, debating method is effective for teaching advanced English speaking for non English department students in higher semester. Keywords: Advanced English, Advanced English Learning, English Learning, English Learning Method, English Debating, Leaning English by Debating
Can YouTube Video on Urological Problems Be Used As An Additional Resource in Telemedicine During the COVID-19 Pandemic?

Objective: Various recommendations are being offered in order of priority in the diagnosis and treatment of urological diseases during the coronavirus disease 2019 (COVID-19) period.Since it may not be possible to provide information to all patients through telemedicine, additional methods are needed to reach all patients.This study aimed to determine the reliability and quality of YouTube videos that provide information on urological disorders during the COVID-19 period.Another aim was to assess the most shared and most viewed videos on urological disorders on YouTube and their usability as an additional resource in telemedicine during the pandemic.Materials and Methods: From 17 February 2020, to 31 July 2020, the following keywords were used to search videos on YouTube: "covid urology", "covid andrology", "covid fertility", "covid male infertility", "covid prostate", "covid bladder", "covid kidney", "covid renal", "covid testis", "covid cancer", "covid coitus", "covid sex", "covid sperm" and "covid erectile"; "coronavirus" was also used instead of "covid".In total, 232 videos were evaluated by two urologists according to video characteristics.The number of total views, views per day, likes, dislikes, comments, video length, date of video upload and duration on YouTube was recorded.Finally, a total of 136 relevant English videos were included in the study.A 5-point modified DISCERN tool was used to assess reliability, whereas a 5-point Global Quality score (GQS) was used to evaluate quality.Cohen's kappa score was used to determine inter-rater agreement, while the intraclass correlation coefficient was used to evaluate inter-observer reliability.Results: All videos had a high DISCERN score [4, interquartile range (IQR) (3-5)] and GQS [5, IQR (4-5)] in general.Moreover, 20 (14.7%) videos containing information about "sexual life" and "effects of COVID-19 on sperm" were described as debated.Videos uploaded by "universities/ professional organisations/non-profit physician/physician groups" had higher scores (p<0.001).However, their rates of "number of views per day" (p=0.036) and "likes" (p<0.001) were lower.The majority of videos related to urology (63.9%) included conversations about andrological disorders.The median number of total views and number of views per day were also highest for videos related to andrology.Conclusion: Although andrological disorders are classified as a non-essential issue and andrological consultations are postponed during the COVID-19 period, the results show that the rate of YouTube videos related to andrology is even higher than uro-oncological diseases during this period.Therefore, it is important to share accurate and reliable information in this field.Our analysis shows that informative, easy-to-understand YouTube videos uploaded by "universities/professional organisations/non-profit physicians/physician groups" can be used as an additional method to telemedicine, especially for andrological disorders that do not require follow-up.
Cybercrime: youth awareness survey in Delhi NCR, India

Nowadays cybercrime is rapidly increasing day by day with the evolution of technology where we take a step towards the digital world.With every step, new challenges and responsibilities are also arising daily basis.The concentrated population for the attack is Youth and teenagers.They are the major population of the world who are enjoying the digitalization.Cybercrime is a major threat to the growing society.Every country in the world promoting digitalization to survive in this digital world and to secure data government and non-government organizations taking responsibility to secure our data from the attackers.To secure government and other organizations' understanding and analyzing the things to secure data.In India, the majority of the population belongs to rural areas and they are the easy target for the attackers to manipulate.Many people don't know about cybercrimes and security, so did a survey in Delhi NCR, India to analyze about the cybercrime.
Bi-Level algorithm for the segmentation and counting of Leukocytes and Erythrocytes

Background/Objectives: To present an accurate quantitative approach based two-phase algorithm to count both the leukocytes and erythrocytes for identifying the severity of leukaemia in the human body.Methods/Statistical analysis: The algorithm is having two-phases with the first phase meant for recognizing and counting the leukocytes using the thresholding based segmentation technique that focuses on the intensity values of pixels of the greyscale blood smear images; whereas the second phase recognizes the erythrocytes by their circular shape using Circular Hough Transform (CHT) method.The system experiments with 26 stained blood smear images from the ALL-IDB1 benchmark dataset.Findings: The first phase of the algorithm achieves 99.41 per cent overall accuracy in leukocytes detection and in the second phase 99.76 per cent overall accuracy is attained in erythrocytes detection.Novelty/Applications: This proposal applies Circular Hough Transform in detecting the erythrocytes by adjusting the radius of the circle according to the magnification rate of the sample image.
Empirical Study on the Effect of Zero-Padding in Text Classification with CNN

Author(s): Cheng, Henry | Advisor(s): Wu, Yingnian | Abstract: In CNN-based text classification tasks, where a CNN model is trained on top of pre-trained word vectors, padding is applied to ensure the input dimension is consistent, which is a requirement for CNN architecture. Traditionally, there are no set rules on how padding should be applied and padding is usually applied to the bottom of the text to achieve uniform length. Borrowing from the idea in computer vision, we show that there is no significant difference between applying zero-padding to the bottom of text embeddings and to both sides of the text embeddings