Reviewerly/exHarmony huggingface dataset:
Naive Bayesian Accounts of Base Rate Effects in Human Categorization

This paper examines the naive Bayesian model and extensions of it to account for the effects of base rate neglect and inverse base rates. These are human categorization phenomena in which base rate information appears to be ignored. The naive Bayesian classifier accounts for a subset of the phenomena observed in base rate experiments. An extension to the model is examined that uses structure in the data sets resulting from features shared between categories.
DEVELOPMENT AND PROSPECTS OF VIRTUAL EDUCATION TECHNOLOGIES

This article describes virtual learning technologies, multimedia concepts and tools, multimedia applications, the use of simulators in the learning process. The problems of using systems and services that control the process of virtual learning are also described
Prediction of Human Movement in Open Public Spaces: Case Study of Sarajevo

Imposed changes in social conduct and the dynamics of living in cities, during COVID-19 pandemic, triggered an increase in the demand, availability, and accessibility of open public spaces.This has put forward questions of the relationship between open public spaces and disease transmission, as well as how planning and design strategies might be used to improve resilience in the face of future pandemics.Within this academic framework, this study focuses on object detection and human movement prediction in open public spaces, using the city of Sarajevo as a case study.Video recordings of parks and squares in morning, afternoon and evening are utilized to detect humans and predict their movements.Frame differentiation method proved to be the best for object detection and their motion.Linear regression is used on a dataset collected using the space syntax observation technique gate method.The best R 2 values, 0.97 and 0.61, are achieved for weekdays, for both parks and squares.Authors associated it with the dynamics of space use and frequency of space occupancy, which can be related to physical conditions and activity content of selected locations.The results of study provide an insight into analysis and prediction of direction, as well as density of pedestrian movement, which could be used in decision making directed towards more efficient and health oriented urban planning.
Perancangan manajamen hubungan pelanggan (CRM) menggunakan ZohoCRM dalam meningkatkan kepuasan pelanggan di Perusahaan Ordia

Ordia Company is a company that offers broadcasting equipment rental services located in Central Jakarta. The Ordia company has been operating since 2005 until now. In the transaction process, the company never processes any transaction data that occurs in the company, therefore the researchers designed a customer relationship management (CRM) system using a web-based ZohoCRM and was able to increase customer satisfaction in the company so that the running system could be configured so that it fits and runs with the process. the company's existing business to produce information for the company that has a positive impact on the company and customers.
A Sketched Computational Theory of Language Comprehension

This paper describes a semantically based computational theory of natural language comprehension. The theory argues for a semantically rich lexicon whose entries can be described as monosemic, generative and image-like. The comprehension process uses the basic definition of a word to decide how new information is to be combined with what has been interpreted so far. Next, and more importantly, the background information is used to generate the meaning of the combined words. Other semantically based approaches are also reviewed, one each from the disciplines of AI, Cognitive Science, and Linguistics.
Unconfounding Similarity and Rules in Artificial Grammar Learning

Artificial grammar learning provides a principled experimental framework to investigate the roles of similarity and rule-induction mechanisms in category generalisation. Past attempts to disentangle these two mechanisms may be criticised for employing insensitive measures of similarity with little theoretical or empirical motivation, for failing to achieve independent measures of the effects of similarity and rule-induction components, and, with several notable exceptions, for confining stimuli to the domain of letter strings. The present work reports on two studies of artificial grammar learning using a standard grammar to arrange nested geometric shapes (Experiment 1) and angles between connected lines (Experiment 2). Grammaticality judgements for novel items are significantly above chance in both experiments. Similarity judgements for pairs of stimuli are used as the basis for modelling grammaticality judgements, using an exemplar-based model of categorisation. We test for independent contributions of similarity and rule-induction mechanisms by fitting nested regression models. Similarity is significant in accounting for grammaticality judgements in both experiments. Rule-induction has an additional, independent effect in Experiment 2, but not in Experiment 1. We discuss the implications of these results and their relationship to previous studies.
Education During Pandemic: The Adoption of Learning Resource on Wifi Hub Expanded Electronic Learning in Sarangani (LR on WHEeLs) in Alabel 4 District

The purpose of this study is to look into teachers' willingness to use the Learning Resources on Wi-Fi Hub for Expanded e-Learning (LR on WHEeLs) as a flexible learning option to extend the reach of e-learning to remote villages, particularly those outside of the service coverage of major telecommunications companies and internet service providers.&#x0D; This study employs quantitative research, with data collected via an online survey questionnaire. Purposive sampling was also used to select respondents from Alegria National High School. The collected data was statistically analyzed using weighted mean.&#x0D; The teachers' readiness on LR on WHEeLs anchored to the uses of ICT revealed the following: first, the school staff and the department as a whole provide ICT professional development. Second, ICT-based activities and materials for teaching were frequently used, and subsequently, teachers were confident in their ICT skills. This indicates that the majority of teacher-respondents had adapted to so-called 21st-century learners. However, it has been revealed that the difficulties encountered by participants in the use of LR on WHEeLs include a lack of interest on the part of teachers, a lack of benefit from using Technology in teaching and learning, and an absence of adequate content/materials. As a result, proper reinforcement must be provided to teachers through training, orientation, and seminars, as well as the provision of the support needed and materials for the use of LR on WHEeLs.
Survival Analysis of Ichimoku Cloud Indicator Benchmarked on the S&amp;P 500 Index

This paper implements a genetic algorithm of 20 input variables (technical indicators) outlined by the Bank of St. Louis Fed’s research department updated to include newly adopted technical indicators Ichimoku cloud. The research is tested over the 1980-2016 period and benchmarked on the S&amp;P 500 Large Cap Index. The hypothesis is to see if investors may gain additional information from using technical indicators in their asset allocation strategy. The results show through stepwise regression that moving averages, and Ichimoku cloud indicators may convey information to investors although there may be additional macro￾economic information not picked up by the technical signals that should be included in the system of equations. The results show from 1980-2016 the genetic algorithm strategy produces total return of 3308.31 percent versus the S&amp;P 500 1909.90 percent. The result is .16608 with p-value of 0.000 for the Moving Average 3,12 and 0.24 for Ichimoku Cloud Indicator based on the 1,26 period. For Ichimoku Indicator 26,52 it is 0.000 and for 1,52 0.009.
Improving Students’ Ability in Writing Descriptive Text Through Contextual Teaching and Learning Approach

Contextual Teaching and Learning Approach is a holistic educational process that aims to motivate students to understand the meaning of the subject matter being studied by connecting the material to the context of their daily lives so that students have knowledge/skills that can be flexibly applied (transferred) from one problem/context to another. This study aims to determine the improvement students' ability in writing descriptive texts through CTL and the advantages of using the CTL approach. Contextual Teaching and Learning techniques to teach descriptive writing is proven to be helpful in increasing student progress. Therefore, this study uses a qualitative research approach as a research strategy, so a literature review will be used. Based on these data, the training approach is effective in developing descriptive text writing skills, with the results of the activities covering library data collection methods, reading and taking notes, and material management. The results of this study reveal a number of advantages of CTL. This includes, involving students in writing activities; improve students' enthusiasm to engage actively in writing classes; assist students in constructing their writing; assist students in problem solving; give a venue for students to communicate or discuss with their classmates; and assist students in summarizing and reflecting on lesson content. it can be concluded that The contextual approach is a very appropriate vehicle for teachers to empower the potential of students according to the needs and the school environment and their lives. According to these findings, it is suggested the CTLcan be used in the classroom to improve students' descriptive text writing skills.
Can a Computer Really Model Cognition? A Case Study of Six Computational Models of Infant Word Discovery

Prelinguistic infants must find a way to isolate meaningful chunks from the continuous streams of speech that they hear. This bootstrapping problem has recently been the focus of several attempts to model the cognitive problem computationally. How can we evaluate whether this kind of simulation is relevant to the cognitive situation, and how can we compare different computational approaches? I discuss my O-B algorithm, a variable-length clustering procedure, and compare it with five other models—three connectionist ones and two statistical programs which use Minimum Description Length as a decision metric. I show that the models differ in their similarity to cognitive processes with respect to: a) the timing of inputs and outputs; b) constraints on the incremental learning process; c) clustering vs. dividing strategy; and d) whether the goal is to find words or to learn word-finding rules.
Penerapan Sistem Enterprise Resource Planning Modul Sales Pada All About Merch Store Menggunakan Odoo

All About Merch Store is a medium-sized business located on Jln. Sunan Giri No.1 Rawamangun, East Jakarta. All About Merch Store is a shop that sells various merchandise from Korean artists. The problem with All About Merch Store is that there is a lot of data on customer goods orders that are not recorded so that sometimes many customer orders are not recorded and delivered according to order. This study aims to create a sales system that can help All About Merch Store simplify the process of recording sales data. The results of this study are the implementation of an ERP system using the Odoo application using the Sales module with the ASAP method which has been adjusted to the needs and business processes in sales.
First data on molybdenite and its primary orebody in Pay-Khoy (Nenets autonomous district): mineralogy, geochemistry, raman spectroscopy

The first data on five primary molybdenite sources within the gabbro-dolerite complex of Pay-Khoy (Pay-Khoy Ridge, Yugra Peninsula, Russia) are presented. The mineral is extended areally in Devonian ore-bearing gabbro-dolerites, contact rocks, and quartz veins. This paper considers the mineralogical-geochemical features of molybdenite, its occurrence, the composition of host rocks, and spectroscopic studies.
Identifying inter-organisational resource-service sequences based on similarity for collaborative tasks

To improve the efficiency of a collaborative task, collaboration of resource services in a business process is important. From the business process viewpoint, the resource services should be provided as service flows to business processes. Resource services are selected and used by different organisations. This reduces the efficiency of the collaboration of resource services among different organisations. To solve this problem, a similarity based approach is proposed to identify the resource service sequences in an inter-organisational business process. Manufacturing is used as an example to discuss the problem. First, a modelling method, resource service temporal relationship modelling (RSTM), is presented. In RSTM, the temporal relationship of resource services is described, which is resolved according to the big data of business. Then, based on the RSTM, all resource service sequences are obtained directly. Next, an algorithm of similarity is presented to calculate the isomorphic resource service sequences with inter-organisation consideration. Finally, the proposed approach is tested with a simulation experiment, and the results show that it is very promising.
An Efficient Technique for Managing user Information using Ethereum Network

Due to enormous increase in development of technology maintenance of user’s information has become major concern. However, user’s information has been effectively maintained by the third parties but the problems with the current system are cost has been increased for maintaining information, lack of transparency and fairness, overuse of power and nature of opaqueness in the current system. So distributed system/ledger i.e., Blockchain came into existence to solve the problems encountered with the current system. The advantages of the proposed distributed system are cost is negligible by eliminating the need of third parties, effectively enhancing the execution speed of transactions and facilitating its reconciliation, maintaining transparency thereby ensuring integrity of user’s information. In this paper, we introduce Ethereum based blockchain network for maintaining user’s information through smart contracts. Experimental results shows that how effectively user’s information has been maintained through blockchain based networks.
Virtual Static Security Analyzer for Web Applications

Web applications are popular victims of injection attacks such as SQL injection and cross-site scripting. Vulnerability detection tools allow preventing these attacks but are often bound to a single language and hard to port to new languages. We propose a new approach to support the addition of new languages without much effort. In order to achieve this, our solution does not analyze the source code AST directly, instead, it traverses the source code AST and builds a generic AST (GAST) from it. Then, the tool analyzes the GAST to find vulnerabilities. This way we decouple the analysis and the source code parsing. To add support for a new language we just need to generate a parser and write a converter for that AST, which is usually less than 110 lines of code. We implemented a tool called GT with this approach. The tool currently supports four languages: Java, PHP, Python and JavaScript. It was tested against several web applications written in the same languages.
Agriculture Price Prediction Using Data Mining

Agriculture is the main source and backbone of Indian Economy and plays a vital role in individual life. In the total Gross Domestic Product (GDP) agriculture nearly contributes sixteen percent and for increasing foreign exchange it contributes nearly ten percent to the total country exports. As the population continuously increasing and to manage the livelihood of the country there’s requires a proper utilization and management of agriculture products. Data mining is a better technique and best choice in predicting the accurate prices of the agriculture based on previous data. In this work various data mining algorithms are applied on the dataset to predict the future prices of the agriculture products. Keywords: Agriculture, Data-Mining, Prediction.
SECURE AND EFFECTIVE CONSENT SYSTEM

The data recorded in a medical information system has a distinctive feature from other kinds of sensitive information.For example in EMR(electronic medical record) of HIS(hospital information system), the data subject is the patient and the persons who generated the medical information about the subject are his doctor and other medical practitioners who perform the treatment prescription of the doctor.Hence, before disclosing the data to outside, doctor's decision and the patient's consent should be made first.However, some researchers have developed secure and cryptographic schemes without considering this feature of medical information.In this paper, we propose a secure and effective consent protocol which is applicable to a real world under the current medical laws, where the server manager cannot guess and disclose the data without the patient's consent and the doctor's decision.
Speech of academician of RAS B.N. Chetverushkin

Speech of academician of RAS B.N. Chetverushkin
Analyzing Popularity of Software Testing Careers in Canada

Abstract Software testing requires good processes and tools and, more importantly, good human resources. However, the number of software engineering students, who are planning to take up the testing career appears to be significantly smaller. That has been causing inadequacy in quality of software testing, which requires serious attention. Towards that, the paper analyzes reasons for the apathy of software engineering students towards testing careers by administering a survey to senior students of a software engineering program of a leading Canadian university. The survey helped us to understand the percentage of software engineering students, who want to take up testing careers, and pros and cons, thereof. Out of the 118 students, who were enrolled in the program, eighty-five students took the survey. Of the eighty-five, only eight (9%) were willing to take up the testing career, twenty-six (31%) responded vehemently with ‘Certainly No’, twenty-three (27%) said plain ‘No’, and remaining twenty-eight (33%) were ambivalent. We found ‘more jobs’ as the most voted pro and ‘tediousness’ as the most voted con for taking up testing careers. The paper also includes the result of a survey of about twenty Canadian testing professionals, chosen randomly. We found that twenty-five percent professionals preferring, forty-five percent not preferring, and thirty percent professionals indicating ambivalence about testing careers. The most voted pro was ‘important job’, and the most voted con was ‘lack creativity and challenges’. We believe that the study will help to make appropriate curricular changes and to project the testing profession in a right perspective, and increase the number of engineers choosing the profession. That could result in better quality of testing and improvement in the overall productivity and turnaround time of software projects. We also plan to compare results of this study with an earlier study that was carried out in India.
PENGARUH MODEL PROBLEM BASED LEARNING (PBL) MENGGUNAKAN METODE PRAKTIKUM TERHADAP AKTIVITAS DAN HASIL BELAJAR SISWA

The aim of this study is to determine the effect of the Problem Based Learning model through practicum on student activities and learning outcomes. This research method is Quasi Experimental Design method. The study population was three classes at a MAN in Cimis. The research sample is one class X MIA1 of 33 students. The sampling technique uses purposive sampling. The research instrument used was the observation score and multiple choice questions. Data analysis using Wilcoxon and z test. The results of the study concluded that the application of the model of problem based learning (PBL) through practicum affects the activities and student learning outcomesKeywords: Problem Based Learning using practicum methods, activities, learning outcomes
Survey on Shot Boundary Detection Methods

The increase in the growth of multimedia technology leads to an increase in multimedia content in a large amount. Hence it is important to access only interesting video content instead of the whole video. For effective indexing and retrieving the interesting content from the whole video, the Content-Based Video Retrieval (CBVR) is used. Shot boundary detection is one of the most important and necessary steps. It is used to partitioning the video into shots that are necessary for indexing and retrieval of video. Therefore, segmentation plays a significant role in the field of digital image and media processing, computer vision and pattern recognition. In this paper, the recent development for shot boundary detection has been presented.
Supplemental Material: The timeline of prolonged accretionary processes in eastern Central Asian Orogenic Belt: Insights from episodic Paleozoic intrusions in central Inner Mongolia, North China

Mineral chemistry, geochronological, element geochemical and Sr-Nd-Hf-O isotopic data (Tables S1 and S3–S6), zircon CL images (Fig. S1) and data quality control (Table S2) for the Paleozoic intrusions from the Erenhot region of northern Central Inner Mongolia.
Enterprise Directory Services

Enterprise directory services focus on providing a core set of fundamental services that can be used by many environments and customer communities. Providers of enterprise directory services will consider the potential for their efforts to eventually be leveraged across multiple user communities. Services that are likely candidates to be provided as part of an enterprise directory service include the following: information solicitation, registration, naming, authentication, directory synchronization, and coordination of publication infrastructure. A naming service simply provides alternate names, or identifiers, for such entities as people, network devices, and resources. The press routinely represents cross-platform directory synchronization as the most difficult task in a directory service. The enterprise directory service provides an enabling infrastructure on which other technologies, applications, products, and services can build. X.500 is frequently cast as a panacea for directory services. This is not true; the biggest challenges for enterprise directory service providers are information management issues.
DEVELOPMENT OF AN ENHANCED EXAM MANAGEMENT

The technological advancement in IT has brought about the need for computer usage in all areas of human life and endeavors, education sector also. The traditional method of conducting exams is often characterized by questions leakages, human errors during marking of students scripts and recording of students scores. This work, An Enhanced Exam Management System was, therefore, born out of the will to solve the problems plaguing the conventional (paper-based) examination system by providing a campus-wide service for e-assessment devoid of dishonest conduct and equally enhances quick feedback. The developed system which uses a combination of HTML, PHP, MySQL reduces the proportion of workload on examination, grading and reviewing on the part of examiners. The system also enables the release of exam results in record time and without errors. Thus, this system can serve as a solution for mass education evaluation and offers many features that cannot be implemented in paper-based system.