Reviewerly/exHarmony huggingface dataset:
Object Classification and Detection using Deep Convolution Neural Network Architecture

X-Ray security stuff screening frameworks are generally introduced in pretty much every station/air terminal to guarantee open vehicle security. In any case, the unwavering quality of manual recognition has been bothersome in genuine circumstances. For a stuff screener, recognizing the precluded things is typically so arduous and exhausting that missing some undermining things is unavoidable by and by. Particularly, in times of heavy traffic, travelers ordinarily take a great deal of time hanging tight for security checking in line. A solid programmed disallowed thing location framework is subsequently ideal for accelerating the screening procedure just as improving the precision of risk identification. X-Ray age is identified with the arrival vitality of the electrons when they arrive at the material, which is an element of the voltage of the material and the vitality of the electron bar. By estimating the X-Ray discharge and knowing the vitality of the electron pillar, the voltage of the material can be resolved. An information growth strategy for enhancing the X-Ray denied thing pictures utilizing GAN based methodology. In the first place, the forefronts containing precluded things are removed by a Region of Interest (ROI) division calculation from the gathered X-Ray security pictures. At long last, to confirm whether the created pictures have a place with its comparing class or not founded on the basic CNN model.
Recommendation System Based on Text Analysis

Recommendation Systems have gathered a lot of attention from the research community following the introduction of internet. Internet provided platform for development and deployment of web, mobile and desktop-based applications. The overall penetration of the internet has increased across the globe over the last two decades which in turn provides more customers for the tech companies. In this project, we are mostly focussing on E-commerce companies like Amazon. It is never easy to find a product that has all the features you need. We have developed a model that can be used to assist the customers in choosing the best product available that has features as specified by the customer. This model will list down all the products that have that feature. Additionally, it will also provide a feedback to the manufacturer of the product regarding the features that did not impress most of the customers. The manufacturer can work on these features and improve them when launching upgraded versions or new products in the same category. The core idea of this project is to analyse the product reviews given by existing customer to assist a new customer in choosing the best product having the feature as specified by the customer.
High Order Thinking Skills and Digital Literacy Skills Instrument Test

Developing evaluation instruments in the student learning process in interactive, fun, challenging, motivating, and developing students 'creativity and independence are needed to improve students' High Order Thinking Skills (HOTS) and digital literacy skills (DLS). HOTS and digital literacy are part of the 21st-century skills that are important for every individual. This study developed a test instrument integrated with Augmented Reality (AR) and Google Scholar (GS) to encourage HOTS and students' digital literacy skills. This type of research was development research. The subject matter was the scale and comparison. Product trials were applied to 11th-grade students in Sleman, Indonesia. Product validity was based on expert judgment, item validity, distinguishing power, difficulty level and reliability to reach a good category in general. AR was created using the ARLOOPA application operated with android. The research instrument was designed to increase HOTS and DLS.
The Status Quo of Information Security from the Perspective of Information Technology Staff in Jordanian University Libraries

This study aims to explore the status quo of information security from the perspective of information technology (IT) staff in Jordanian university libraries and to discuss the most prominent difficulties they face. Moreover, it aims to identify the effect of the variables (years of experience, type of university, job level, and specialization) on the staff estimation of the status quo of information security and the difficulties they face. The study population consisted of all (96) staff members of the IT departments in the libraries of public and private Jordanian universities for the academic year 2015-2016, of whom (84) responded. To answer the study questions, a questionnaire that examines the status quo of information security was adopted, it consisted of five themes. The questionnaire also included questions to study the difficulties facing IT staff. The results indicated that the respondents’ estimation of the status quo of information security in Jordanian universities libraries was at medium level, as the item “procedures for the protection of computer systems and networks” and the item “access control to information systems” were ranked first in the study fields with a high rating. Results also indicated that the overall level of difficulties attained a medium level, and that the most prominent difficulties facing IT staff in universities libraries are the shortage of personnel specialized in information security and the lack of budget allocated to information security in university libraries. The study also showed a statistically significant difference at the level of significance (α≤0.05) for the variables of “job level” and “specialization” in the staff estimation of the status quo of information security. Also, a statistically significant difference was found in the staff estimation of the difficulties they face related to the specialization variable. The study recommends paying more attention to the various aspects of information security in libraries, such as the infrastructure in regard to technology and the existence of a precise policy to ensure information security and to increase the number of human resources specialized in the field of information security.
PROJECT TRAINING OF UNIVERSITY STUDENTS THROUGH PREPARATION OF SOCIAL AND EDUCATIONAL STARTUPS

The article considers research in the direction of project training and the development of professional, communicative and digital competencies of students of the university of pedagogical orientation.The educational results of the project training of students are social and educational startups as research works to solve current social and educational problems that have quantitative and qualitative changes in the process of implementing the startup.The article defines the trends and prospects of project training as part of the digital transformation of the education system and the development of a concept for the development of digital competencies of university students.Approaches to understanding the phenomena of «social project», «social startup», «educational startup» were highlighted.A transprofessional model has been developed for the deployment of a project training system for university students based on the identification of factors, prerequisites, pedagogical conditions, a system for the deployment of project training and the creation of social and educational startups.The pedagogical experience of the implementation of the transprofessional model of the deployment of the project training system for students in the Federal State Budgetary Institution «Pacific State University» through their preparation of social and educational startups is described.The leading research methods are: analysis of modern research on the issues of project training and the development of professional, communicative and digital competencies of university students; modeling and extrapolation as methods that allow determining the pedagogical conditions for the effectiveness of joint activities to create social and educational startups during the period of digital transformation.Research materials have practical value for a wide range of researchers of trends in the development of project training and prospects for the introduction of social and educational startups in the modern world.
Clinical Notes De-Identification: Scoping Recent Benchmarks for n2c2 Datasets

Publicly shared repositories play an important role in advancing performance benchmarks for some of the most important tasks in natural language processing (NLP) and healthcare in general. This study reviews most recent benchmarks based on the 2014 n2c2 de-identification dataset. Pre-processing challenges were uncovered, and attention brought to the discrepancies in reported number of Protected Health Information (PHI) entities among the studies. Improved reporting is required for greater transparency and reproducibility.
Teacher's Strategies in Teaching English toward Students in Inclusive Classroom during Pandemic Covid-19

In teaching English as a Foreign language in schools, the EFL teachers are expected to be able to select and apply teaching strategies that are suitable to their student's needs.The case of teaching English to the students in inclusive classrooms becoming one of the big problems faced by the EFL teacher.They have to design the lesson plan well as their students have consisted of both regular and disabled students.This condition becomes more challenging in this pandemic covid-19 era because the EFL teachers have to design all the activities and instructions through virtual meetings using any kind of online learning application.Thus, the aim of this descriptive qualitative method research was to uncover the EFL teachers' strategies used in teaching English to the students in inclusive classrooms.The EFL teachers are interviewed about their experiences in teaching the inclusive classroom during the pandemic covid-19, particularly, teaching English virtually.The result of this study helps the researchers to have a clear picture of strategies used by the EFL teachers in inclusive classrooms.
ONLINE GRAMMAR CHECKERS VERSUS SELF-EDITING: AN INVESTIGATION OF ERROR CORRECTION RATES AND WRITING QUALITY

Background and Purpose: In order to compete with native speakers, EFL and ESL students are under more pressure to produce native-like academic papers. This has led to more reliance on online grammar checkers, but these can be ineffective with regards to identifying and giving feedback on particular grammatical forms, phrasing and issues relating to style. Language learners may not be effectively correcting these errors. Hence, this study aims to examine the effectiveness of one online grammar checker, grammarly.com, with that of self-editing.&#x0D; &#x0D; Methodology: This case study employed a descriptive approach to data analysis. 199 essays were collected from undergraduates at four universities in Kyushu, dated from April, 2019 to January, 2020. 99 essays were proofed by an online grammar checker, while 100 essays were self-edited. The English proficiency level of the participants was at the lower to intermediate range (i.e., TOEIC 300 to a TOEIC 500). The online grammar checker Grammarly was utilized by all participants to minimize issues relating to feedback. In the analysis of data, the complexity, accuracy, and fluency (CAF) of the essays was assessed in order to examine the significant changes between the first and other drafts, and the types of errors produced.&#x0D; &#x0D; Findings: Results showed that there were no significant differences found in terms of the methods of editing, although the participants who employed online grammar checkers had better results. It was also shown that there were no significant differences in terms of syntactical complexity with either method of editing. There were fewer errors committed by the participants who self-edited, but there were no significant differences in the edited drafts with regards to errors/100 ratios, error-free clauses, and error-free clause ratios. The study showed marginal differences between the two methods of proofing but indicated that online tools can be useful for identifying certain grammatical errors.&#x0D; &#x0D; Contributions: This paper argues that educators need to work more with EFL learners on the editorial and proofing process, but online grammar checkers may be a useful pedagogical tool to help low-proficient L2 learners.&#x0D; &#x0D; Keywords: Writing quality, editing, online grammar checkers, proofing, syntactical complexity.&#x0D; &#x0D; Cite as: Long, R. (2022). Online grammar checkers versus self-editing: An investigation of error correction rates and writing quality. Journal of Nusantara Studies, 7(1), 441-458. http://dx.doi.org/10.24200/jonus.vol7iss1pp441-458
On the question of constructing social reality

The article examines the role that the so-called project consciousness has in history. The author distinguishes a project consciousness from a reflective and a value conscious­ness. The latter perform orientational rather than constructive functions. The analysis of history shows that there is a cardinal difference between the ability of people to change the technosphere of their existence and their ability to create and control the institutional conditions of their own life, changing the foundations and forms of human society. Hu­man consciousness has played and continues to play an important role in the “eventful history” created by concrete people in specific circumstances of space and time. The same cannot be said about its ability to purposefully create and change the deep structures of history, to construct impersonal social relations acting as matrices of social interaction behind historical events. This possibility appears only in the XX century, marked by a sharp increase in the potential of project consciousness. It manifests itself first of all in the expansion of the possibilities of conscious control, penetrating into the spheres of so­cial life, where previously the spontaneous model of development dominated. In addition, project consciousness acquires an unprecedented ability to make large-scale changes in social life not under the pressure of historical necessity, but in accordance with the value priorities of people, their ideas about proper social order. The article examines the causes of this transformation, which has both positive and negative consequences. The author draws attention to the errors and illusions of project consciousness that can lead to episodic violence of ideas over human life. But this does not mean that the human will turns into the full-fledged demiurge of history, capable of realizing any desires and fan­tasies. History retains its law-governed character being operated by the law according to which ideas shame themselves sooner or later when they become detached from the ob­jective needs and interests of people.
STRUCTURAL-FUNCTIONAL ANALYSIS OF ECOLOGICAL COMPETENCIES OF THE FUTURE BIOLOGY TEACHERS

We analyzed the approaches to defining the structural components of the ecological competence of the future biology teachers.It was found out that the separation of a single conglomerate, which includes cognitive, motivational-value and activity components are common in the interpretation of the structure of the analyzed competence.The rest of the components regarding the name and sence varies depending on the context of the scientists' consideration of the problem, author's vision of the research concept, etc. Ecological competence of the future pedagogs is defined as the ability to realize the own potential in active and responsible way (knowledge of ecology, skills, experience) for successful professional activity in the spheres of ecological education and upbringing of the pupils; to acknowledge the own role and the responsibility in renewal, reserving the environment, "greening" the consciousness of the pupils; to perform ecologically efficient activity, to solve ecological tasks practically in the professional and household spheres according to the principles of the stated development gained ecological values, motives of interaction with nature, beliefs, ideals, etc. Ecological competence is considered as an integration formation, where each component is in mutual unity, conditionality with others has its own functional value.We reasoned the defining of the ecological competence functions of the students of the pedagogical specialties: coevolutionary-biosphere, educational, practical-regulatory, activity-normative, professionalorientation.We defined the structural components of the future biology teachers ' ecological competence: knowledge-content, motivational-valuable, activity-technological, professionallyreflexive.The content, functions, interconnections of each component of the ecological competence were outlined.It was emphasized on the importance to take into account all the functional senses, interconnections of its structural constructs while the formation of mentioned personal quality.Underestimation of any component is going to influence the efficiency and the end result of the whole process.
PENGARUH KINERJA MENGAJAR GURU DAN IKLIM SEKOLAH TERHADAP PRESTASI BELAJAR SISWA (Studi Deskriptif di MI Kelompok Kerja Madrasah Cipaku)

This study aims to determine: 1) The effect of teacher teaching performance on student achievement. 2) The influence of school climate on student achievement. 3) The effect of teacher teaching performance and school climate on student learning achievement. The research method used in the preparation of this scientific paper is descriptive. The unit of analysis is a school with a total of 171 respondents. The data were proceeded by using SPSS 17.0. The study results show that: 1) The teaching performance of teachers at MI KKM Cipaku is in high criteria, however, some indicators need to be improved, namely arranging seats according to the characteristics of students and subjects. Furthermore, the teacher's teaching performance has a positive effect on student achievement. This means that the higher the teacher's teaching performance, the higher the student's learning achievement. 2) The school climate at MI KKM Cipaku is in conducive criteria, however, some indicators need to be improved, namely monumental evidence of the results of the school's collaboration with the community. Furthermore, the school climate has a positive effect on student achievement. This means that the more conducive the school climate, the more students' learning achievement. 3) Student achievement at KKM Cipaku is in the achievement criteria, however, several indicators must be improved, namely youth scientific work, academic competitions, sports, arts, and scouts. Furthermore, teacher teaching performance and school climate have a positive effect on student learning achievement. This means that the higher the teacher's teaching performance and the more conducive the school climate, the higher the student's learning achievement.
Execution Time Prediction for Cypher Queries in the Neo4j Database Using a Learning Approach

With database management systems becoming complex, predicting the execution time of graph queries before they are executed is one of the challenges for query scheduling, workload management, resource allocation, and progress monitoring. Through the comparison of query performance prediction methods, existing research works have solved such problems in traditional SQL queries, but they cannot be directly applied in Cypher queries on the Neo4j database. Additionally, most query performance prediction methods focus on measuring the relationship between correlation coefficients and retrieval performance. Inspired by machine-learning methods and graph query optimization technologies, we used the RBF neural network as a prediction model to train and predict the execution time of Cypher queries. Meanwhile, the corresponding query pattern features, graph data features, and query plan features were fused together and then used to train our prediction models. Furthermore, we also deployed a monitor node and designed a Cypher query benchmark for the database clusters to obtain the query plan information and native data store. The experimental results of four benchmarks showed that the average mean relative error of the RBF model reached 16.5% in the Northwind dataset, 12% in the FIFA2021 dataset, and 16.25% in the CORD-19 dataset. This experiment proves the effectiveness of our proposed approach on three real-world datasets.
PENENTUAN POLA OPERASI PINTU PELIMPAH DALAM RANGKA PENGENDALIAN BANJIR BENDUNGAN DELINGAN, JAWA TENGAH

A spillway is one of many important components of a dam, which is operated to prevent the dam from overtopping. Spillway with gate structures requires to have a good operation pattern by considering a minimum critical height and outflow discharge to prevent any flooding events in the downstream part of the spillway channel. The case study in this research is the Delingan Dam which has two ogee spillways, four main sluice gates and four additional sluice gates. Located in Karanganyar District, West Java, Delingan Dam is considered as a vast infrastructure which is potentially threatening if the spillway’s operation is not optimal. This study aims to analyze the spillway gate operations’ pattern of Delingan Dam in order to control the flooding event. The methodology used in this study is flood routing by utilizing several scenarios in order to obtain the optimal simulation results. Five scenarios that were simulated on the designated flood discharge have various combinations on the number of gates and their opening, as well as the time in which the operation started. The results show that the operation only using ogee spillway still meets the criteria for minimum critical height and maximum allowable discharge for return period of 25, 50, and 100 year.As the discharge with 1000 year return period, half of PMF, and PMF,the recommended operation is, foremost, to occupy the main gate in which results in the peak outflow discharge of 23.65 m3/s, 62.4 m3/s, and 140.9 m3/s, with the minimum critical height of 1.45 m, 1.41 m, and 1.35 m, respectively. However, this operation is not adequate for the half of PMF, and the PMF discharge, since the capacity in the spillway channel is estimated about 24.7 m3/s.Keywords: spillway, flood control, spillway gate operation, the delingan dam
Outlier Detection for Spotting Micro-expressions

Facial expression, as a basic communication method, is an important way of emotion expression and cognition. Facial emotional expression impairment seriously affects interpersonal communication and social life. Micro-expressions (MEs) are involuntary and instant facial dynamics that occurs when the subject failed to suppress their genuine emotions, especially in high-stake situations. Psychological research has shown that MEs can reflect people’s true emotions, which is of great help to the treatment of Facial emotional expression impairment. ME spotting aims to locate the apex frame positions of MEs from long videos, which is the first step in ME analysis. Unlike previous researches that used binary classification or maximum feature difference for analysis, in this paper, we apply the idea of outlier detection to spot ME for the first time. MEs are unusual facial dynamics whose movement patterns diverge from others, so they can be regarded as outliers in the feature space of long videos. Our proposed method uses Gaussian model to estimate the probability density function and locates outliers by analyzing the statistical features of long videos to achieve ME spotting. This method was evaluated on CASME I, CASME II and SAMM datasets that only include spontaneous MEs in long videos. The results show that this method can efficiently locate apex frames of ME efficiently in long videos and also provide a new perspective for ME spotting.