Reviewerly/exHarmony huggingface dataset:
Mental Simulation as a Remedy for Biased Reasoning

Prompting mental simulation with a counterfactual scenario has been found to enhance rationality in individuals and groups.Building upon previous findings and the dual-process accounts of reasoning, we hypothesized that debiasing power of mental simulation lies in inhibiting System 1 and facilitating System 2 responses.Therefore, we examined whether counterfactual priming mitigates biased reasoning via changes in cognitive reflection.Each participant of our between-subject experiment (N = 462) solved two out of three tasks on biased reasoning: one before and one after being exposed to the counterfactual scenario.The tasks were designed to elicit selectively seeking hypothesis-confirming evidence, ignoring alternative explanations, and unwillingness to reconsider the default option.In addition, the participants completed two sets of cognitive reflection problems at the beginning and at the end of the experiment.Mental simu lation reduced people's tendencies to ignore alternative explanations and hypothesisdisconfirming evidence, and the latter effect was mediated by intuition inhibition.
Security Login System on Mobile Application with Implementation of Advanced Encryption Standard (AES) using 3 Keys Variation 128-bit, 192-bit, and 256-bit

The development of mobile applications is unbalanced with the level of its security which is vulnerable to hacker attacks. Some important things that need to be considered in the security of mobile applications are login and database system. A login system that used the database as user authentication and passwords are very vulnerable to be hacking. In securing data, various ways had been developed including cryptography. Cryptographic algorithms used in securing passwords usually used MD5 encryption. However, MD5 as a broader encryption technique is very risky. Therefore, the level of login system security in an android application is needed to embed the Advanced Encryption Standard (AES) algorithm in its process. The AES algorithm was applied using variations of 3 keys 128-bit, 192-bit, and 256-bit. Security level testing was also conducted by using 40 SQL Injection samples which the system logins without security obtained 27.5% that be able to enter the system compared to the result of login systems that use AES algorithm 128-bit, 192-bit or 256-bit was obtained 100% that cannot enter into the system. The estimation of the average encryption process of AES 128, 192 and 256 bits are 5.8 seconds, 7.74 seconds, and 9.46 seconds.
PROSES LITERASI DIGITAL TERHADAP ANAK: Tantangan Pendidikan di Zaman Now

Abstact: Digital Literacy Process for Children: Educational Challenges in the Age of Now. The method used in writing this article is the study of literature. Digital literacy is an important pillar for the future of education. Digital literacy is a knowledge base, which is supported by integrated information technology. The purpose of writing this article is to know the important elements in digital literacy and the digital literacy process for children. Nine important elements in the world of digital literacy, namely: Social Networking, Transliteracy, Maintaining Privacy, Managing Digital Identity, Creating Content, Organizing and Sharing Content, Reusing / repurposing Content, Filtering and Selecting Content. Self Broadcasting. Digital literacy process for children through several stages, namely: 1) Digital literacy movement in the family, 2) Digital literacy in the school literacy movement, 2) Digital literacy movement in the community. Abstrak: Proses Literasi Digital Terhadap: Tantangan Pendidikan di Zaman Now. Artikel ini ditulis dengan metode study literarure. Literasi digital merupakan basic pengetahuan yang disupport oleh tekonologi informasi yang saling terhubung. Penulisan artikel ini memiliki tujuan yaitu untuk memahami bagian-bagian penting dalam literasi digital dan prosedur literasi terhadap anak. Sembilan bagian dalam dunia literasi digital, yaitu social networking, transliterasy, maintaining privasi, managing digital identity, creating content, organizing and sharing content, reusing/repurposing content, filtering and selecting content, self broadcasting. Proses literasi digital terhadap anak memalui beberapa tahapan, yaitu: 1) gerakan literasi digital di dalam keluarga 2) literasi digital dalam gerakan literasi sekolah 3) gerakan literasi digital di dalam masyarakat.
A Survey of Network Security Situational Awareness Technology

With the increasing importance of cyberspace security, the research and application of network situational awareness is getting more attention. The research on network security situational awareness is of great significance for improving the network monitoring ability, emergency response capability and predicting the development trend of network security. This paper describes the development and evolution of network situational awareness and analyzes the basic architecture of the current situational awareness system. Based on the situational awareness conceptual model, four main research contents of situational awareness are elaborated: network data collection, situational understanding, situational prediction and situational visualization. This paper focuses on the core issues, main algorithms, and the advantages and disadvantages of each method that need to be addressed at each research point. Finally, under the current development trend of big data processing technology and artificial intelligence technology, the application realization and development trend of network situational awareness are analyzed and forecasted.
Considering the sample sizes as truncated Poisson random variables in mixed effects models

When applying analysis of variance, the sample sizes may not be previously known, so it is more appropriate to consider them as realizations of random variables. A motivating example is the collection of observations during a fixed time span in a study comparing, for example, several pathologies of patients arriving at a hospital. This paper extends the theory of analysis of variance to those situations considering mixed effects models. We will assume that the occurrences of observations correspond to a counting process and the sample dimensions have Poisson distribution. The proposed approach is applied to a study of cancer patients.
Multi-Pedestrian Tracking Based on Improved Two Step Data Association

The multi-object tracking (MOT) algorithms based on tracking by detection framework are the state-of-the-art trackers in recent years. Association optimization and association affinity model are two key parts in MOT, which have attracted attention to build effective association model to overcome ambiguous detection responses. In this paper, we have proposed an online multi-pedestrian tracking algorithm that uses a two-step data association with the help of improved sparse based appearance affinity model and rank based motion affinity model. The association framework is constructed by fusing the trajectory dynamic information and confidence based two-step data associations. The missing frames of a tracklet are counted based on the sparse reconstruction error of a target. An incremental SVD and downdate SVD decomposition is devised to estimate the rank of the Hankel matrix in rank based motion model. The estimated result is fed back to compute the tracklets confidence during association optimization. Both those strategies are beneficial to eliminate ambiguous detection responses during association. By this association optimization strategy, the fragmented tracklets in online tracking are reduced in some extent. We evaluate our method on four public available challenging datasets. The experimental results, both qualitative and quantitative, demonstrate that the proposed tracking algorithm has a good tracking performance compared with several state-of-the-art multi-object trackers.
Wenlin Wang: a “weird doctor” in defiance of the Matthew effect

There is a concept in economics called “the Matthew effect”, which describes a phenomenon in which a person with more resources is more likely to be more successful. This opinion has led to familiar assertions like “poor families make poor children”, and “your platform is more important than your personal ability”. However, is it possible that every life is planned according to economic principles?
Conditions for the development of teachers’ softskills during refresher courses for teachers

The article examines the development of flexible skills of teachers in the system of postgraduate education. To describe the main ideas that form the outline of the requirements for the process and the result of the development of professional competence of modern teachers, the main functions identified in the professional standard “Primary school teacher of general secondary education” have been analyzed for the presence of aspects of the development of flexible skills as a part of a professional competence. The analysis of the standard detected a number of flexible skills that should be formed according to the teacher’s job functions, however, we believe that the “Communication” section is not sufficiently detailed. A 4-block-map of development of teachers’ softskills in refresher courses for teachers was created. Therefore, the prospectuses of classes were developed, which are appropriate to be included in the curriculum for advanced training courses for teachers. They are cross-cutting in nature, that is, they are universal for all categories of students with an emphasis on the development of teachers’ softskills. The content of such classes, which are offered to choose from for inclusion in the curriculum of teachers’ refresher courses was described. The conditions for improving the teachers’ softskills in postgraduate education conditions were formulated: updating the content of the curriculum for advanced training courses, which has to provide end-to-end interships with coursework topics which would contribute to the development of softskills; development of the author’s programs of advanced training courses for the development of flexible skills (softskills) of teachers, enables teachers to purposefully choose the development of a specifically defined path of self-improvement; improving the organization of the educational process aimed at ensuring the flexibility, accessibility, continuity of educational programs and has the goal of creating conditions for the implementation of various trajectories of improving professional competence, simplifying access to educational products using ICT and network resources; expanding the use of advanced technologies in the course of advanced training aimed at communication, interaction, team building, leadership development; transformation of educational space into coworking, which contributes to the active participation of the teacher in the network interaction in the form of joint educational, research and social projects.
Online Power-Aware Deployment and Load Distribution Optimization for Application Server Clusters

The energy conservation of application server clusters is a pressing problem. In this paper, we propose an online power-aware deployment and load distribution optimization strategy for application server clusters, whose objective is to minimize the cluster's power while ensuring that the server's CPU utilization is not higher than a preset value. The strategy includes two schemes: a mixed integer linear programming (MILP)-based scheme and a mixed integer non-linear programming (MINLP)-based scheme. The former formulates the cluster optimization problem as a MILP problem and adopts a toolkit to solve it. When the cluster scale is small, it can find the global optimal solution quickly. So, the MILP-based scheme is applicable to small-scale clusters. In the MINLP-based scheme, we first formulate the cluster optimization problem as a non-linear programming problem, and then design a method to reduce the number of variables and reformulate it as an MINLP problem. We finally propose an efficient solution method based on the flower pollination algorithm. Due to the small number of variables and the high solution efficiency, the solution method can quickly obtain a high-quality solution, so the MINLP-based scheme can be applied to large-scale clusters. The experimental results demonstrate the effectiveness of our strategy.
Recommendation of expert group to question and answer sites based on user behaviors and diversity

Question-and-answering (Q&A) sites are information systems that allow users to ask and answer questions. Users can learn by frequently discussing, answering questions, or exchanging opinions with other experts using Q&A systems. In addition, they can arrange the existing top answers using a number of upvotes and downvotes from experts and crowd wisdom. The number of knowledge-sharing sites has increased significantly in recent years. However, some Q&A sites began to shrink (Yahoo Answers) or were shut down (Google Answers). The main reason is low-quality answers because they do not connect visitors and experts with the right questions. In addition, a question may contain several subtopics with which the expert is unfamiliar. The recommendation of a list of experts closest to the question will lead to a long-tail problem. In this paper, we propose an expert group recommendation method for Q&A systems by taking into consideration users’ behaviors and diversity criteria in the group. Users’ behavior is analyzed to determine a group of experts or non-experts on specific topics. Diversity is an important factor in promoting the sustained comprehensible growth of Q&A sites and avoid following the crowd. Experiments on a Quora dataset show that our method achieves better results in terms of accuracy in comparison with other methods.
Gene Expression Programming Classifier with Concept Drift Detection Based on Fisher Exact Test

The paper proposes to use gene expression programming with metagenes as a base classifier integrated with the Fisher exact test drift detector. The approach assumes maintaining during the classification process two windows, recent and older. If the drift is detected, the recent window is used to induce a new classifier with a view to adapt to the drift changes. The idea is validated in the computational experiment where the performance of the GEP-based classifier with Fisher exact test detector is compared with classifiers using Naïve Bayes and Hoeffding tree as the base learners.
A framework of tracking by multi-trackers with multi-features in a hybrid cascade way

In this paper, a general framework based on the variant Bayesian filter is proposed for the fusion of multi-trackers along with multi-features. Comparing with other fusion based trackers, this framework tries to combine feature-level fusion methods with decision-level fusion methods and obtain the tracking result in a hybrid cascade approach. Firstly, tracking results of multi-trackers are treated as prior knowledge to provide candidate samples, which could reduce the number of samples and avoid the assumption of the Gaussian distribution. Secondly, two novel candidate selection strategies, weighted voting strategy and PageRank based strategy, are proposed and run parallel to measure the similarities among different trackers under different features and achieve the fusion through the proposed correlation matrix pool and decision vectors. Unlike traditional template matching methods, these two strategies consider both the inter similarities (the similarities between template and candidates) and intra similarities (the similarities among candidates). Finally, a novel decision and update strategy with tracklet prediction-comparison is proposed in a cascaded way to cope with the consistency problem of the proposed candidate selection strategies and measure the usability of templates. Based on the proposed framework, a tracker named as MTiB is designed and tested on widely used benchmarks. The experimental results demonstrate that our proposed framework is feasible.
Predicting the remaining useful life of plasma equipment through XCSR

Predicting remaining useful life (RUL) of plasma equipment becomes an important issue for semiconductor manufacturing in this decade. If RUL can be accurately estimated, the schedule of maintenance can be proper to moderate the waste and cost of the production. Digital Radio Frequency Matching Box (RF-MB) is an essential equipment in the semiconductor manufacturing process. The status of RF-MB will be recorded by the Fault Detection and Classification (FDC). In order to establish the RUL of RF-MB, we use Fisher Discriminant Analysis (FDA) for feature selection to concentrate the leading variables in FDC. We marked the first 2 days of the RF-MB operation as "Good" and marked the last 2 days before the failure of RF-MB as "Bad". We used extended Classifier System with continuous-valued inputs (XCSR) to learn the well-labeled FDC data. The results show that XCSR can quickly find patterns and meaningful variables. The average accuracy of XCSR is 97.3% and the average missing rate of rules is only about 1.6%. The results confirmed that XCSR is capable of alerting related operator before the plasma component reaching its residual life. In the future, we will use XCS with Function approximation (XCSF) to more accurately approximate the function of RUL. We look forward to building a complete assessment of RUL.
A High Throughput and Pipelined Implementation of the LUKS on FPGA

The Linux Unified Key Setup (LUKS) is the standard key management scheme for the full disk encryption solution implemented in Linux-based operating systems. It is composed of PBKDF2, an anti-forensic splitter, and a cipher. In this paper, a new FPGA-based high-throughput and pipelined implementation of LUKS is presented. We design a four-stage pipelined SHA-1 module without the multiplexers between piecewise function and a total eight-stage pipelined PBKDF2 by reusing two hash results. Besides, we implement ST box-based AES decipher with BRAM resources, which improves the performance and leaves most of the slice resources to PBKDF2 architecture. By using the above techniques, we instantiate a high throughput LUKS co-processor in a Xilinx Zynq 7030 FPGA. Compared to the previous work of implementation of LUKS PBKDF2 with AES on FPGA, our design shows better improvement of the speed and efficiency by 16 times and 8 times, respectively. Our speed of LUKS key recovery is even faster than Nvidia GPU GTX480.
Assessing the Effectiveness of Fire Safety Management from the FSM Stakeholders’ Perspective: A Pilot Study

Malaysian education sector of the economy, particularly the higher education, had been making huge investments towards fulfilling a target of producing an attractive environment, conducive to learning and academic excellence.Building facilities account for a significant portion of investments in the sector.It has become imperative to research ways of ensuring the safety of built facilities and users from fire disaster since no building has immunity against fire.This research aims to develop a framework for effective fire safety management (FSM) for buildings in Malaysian Higher Education Institutions.This report displays the results of the pilot study conducted among staff from the facilities management, occupational safety health and environment (OSHE) and security departments from selected universities in Johor Malaysia prior to carrying out the core survey to collect information from target respondents.The pilot study shall help to minimise errors in the questionnaire, ensures the smooth running of the survey, facilitate the response rate, and provide a useful and valuable inquiry.The results include the descriptive statistics, reliability test, content and construct validity, the normality test, and factorability.The summary of the reliability test for each construct of the FSM Stakeholders' questionnaire, are Management and maintenance, 0.962; fire safety equipment/system, 0.921; building components safety design, 0.965, and the effectiveness of fire safety management have a value 0.916 for Cronbach alpha coefficient.The aggregate Descriptive Statistics results for the stakeholders' questionnaire show mean values between the ranges of 3.08 to 4.07.The questionnaire had low dispersion and standard deviation values of less than 1.The values of skewness and kurtosis were all within the recommended limit of -/+2, which indicates the normal distribution of all the constructs of the study.The results are a positive indicator to use the instrument for the primary survey.
Job Security, Organizational Support and Employee Performance: Mediating role of Employee Satisfaction in Medical Sector of Pakistan

The study seeks systemic identification of job security, organizational support and employee satisfaction and investigated impact on employee performance in medical sector of Pakistan .The unit of analysis is an individual medical doctor.Cross sectional survey design has been used for data collection and distribution of instrument as distribution of questionnaire.The random sampling technique is used to conduct the study.The analysis was conducted through SPSS software.The job security and organizational support are independent variables, employee satisfaction is the mediator and employee performance is dependent variable.The study found significant positive relation between job security and employee satisfaction.The study also found positive relation of organization support and satisfaction of employees at medical sectors.If organization supports medical doctors for (their job structure), security and payment policies will be influential towards better performance of employees.The mediating relationship was also found to be significant , study found significant positive relation and mediation effect of employee satisfaction between job security , organization support and employee performance.
The Librarian Capability to Implement Information Literacy in Senior High School of Bantul District

This research is aimed to describe the school librarian capability to (1) find or collect&#x0D; information, (2) use or utilize information, (3) evaluate information, (4) communicate&#x0D; information, among the senior high schools of Bantul district. The librarian capability to&#x0D; implement information literacy is highly needed since the advancement of information&#x0D; technology and the abundant of information in various social media and other facilities&#x0D; that can support the school activities. It demands the librarian to have literacy capability.&#x0D; This study can be categorized as descriptive-qualitative research. The research&#x0D; population was the school librarian. The data was collected by using questionnaire.&#x0D; The data validity was tested through content validity test. The data analysis technique&#x0D; was descriptive data analysis with the percentage.&#x0D; The research result showed that: (1) most respondents (77.70%) had good capability to&#x0D; find/collect information to complete the library collection, (2) 89.96% of the respondents&#x0D; were categorized to have “very good” capability to use/utilize library information. (3)&#x0D; 79.73% of them belonged to “good” capability to evaluate information and (4) 81.62%&#x0D; of respondents were proved to have “good” capability to communicate the obtained&#x0D; information.