Reviewerly/exHarmony huggingface dataset:
THE PROBLEM OF PROFESSIONAL DEVELOPMENT OF A TEACHER IN MODERN EDUCATION SYSTEM

The purpose of the article is theoretical substantiation of ways of professional self-development of a teacher as a subject of innovative processes aimed at improving the quality of student education. Under the profe-?sional development of a teacher, the researcher understands a complex and lengthy process, which includes constant personal spiritual and moral development, which cultivates the qualities necessary for humane and tolerant communication, regular professional development and improvement of pedagogical skills. It is proved that the professional personal development is a rather complicated process, during which a person deepens and develops his/her knowledge, skills, abilities and professional abilities. The present state of the problem of professional self-development of pedagogical workers in the context of reforming the system of education in our country is analyzed. Factors that adversely affect the teacher of the university in his/her personal and professional development have been singled out and include ignoring the views of the academic community in reforming higher education, an increase in academic and teaching load, bureaucratization, contracting, unrestrained growth of workflow, etc. The process of self-development of a teacher is represented by the author as a process of various changes in the following components: motivational-targeted, cognitive, emotional-volitional, constructive-activity, reflexive and effective. The main informative characteristics that determine the direction and dynamics of self-development of a teacher are highlighted: value orientations, personal meanings, self-esteem, motivational-volitional components, goal-setting.
How I work, Part VII: E-Mails

Today is finally the day I continue my series on How I work. After a few digressions, I focus on our habit of mailing, not so much because I want to advocate for a specific program, but rather because I would like to advocate against a practice I see well too often. The TL;DR this week is short: Don't use webmailers; except if you have to.
A Test for Kronecker Product Structure Covariance Matrix

We propose a test for a covariance matrix to have Kronecker Product Structure (KPS). KPS implies a reduced rank restriction on an invertible transformation of the covariance matrix and the new procedure is an adaptation of the Kleibergen-Paap (2006) reduced rank test. The main extension concerns the singularity of the covariance matrix estimator involved in the rank test which complicates the derivation of its limiting distribution. We show this limiting distribution to be χ² with degrees of freedom corresponding to the number of restrictions tested. Re-examining sixteen highly cited papers conducting IV regressions, we find that KPS is not rejected in 24 of 30 specifications for moderate sample sizes at the 5% nominal size.
ANALISIS KEPUASAN KONSUMEN DENGAN ALGORITMA C4.5 PADA UMKM MINIMALL

MiniMall MSMEs is a business that is engaged in the sale of products, including: glassware, clothing, household items, accessories for fashion and electronic equipment in the city of Batam. MiniMall MSMEs take advantage of the e-commerce platform to sell their products. Based on product sales data from March 2020 to February 2021, there was a decrease in the level of sales and this condition is now a problem for MiniMall MSMEs because it can interfere with the continuity of its business. Seeing these problems, the authors want to analyze the consumer satisfaction of the MiniMall MSMEs because the level of product sales is basically related to customer satisfaction. The implementation of the analysis in the study was carried out using data mining techniques with the C4.5 algorithm. The analysis was carried out by performing manual calculations using the gain and entropy formula of the C4.5 algorithm and using the WEKA version 3.9.5 application to ensure the correctness and accuracy of the manual calculations. It is concluded that the customer satisfaction of the MiniMall MSMEs is proven to be analyzed using data mining with the algorithm from C4.5 and the results of the research can be used to help increase product sales. In addition, the decision tree and the results of calculations manually using the gain and entropy formula of the C4.5 algorithm have the same results as data testing using the WEKA application version 3.9.5, so it can be said that the results of research through the use of the WEKA application and manual calculations are the same. correct and accurate, making it easier for researchers when analyzing customer satisfaction data derived from questionnaires. The results showed that the indicators of product availability, product quality and delivery accuracy significantly affected consumer satisfaction of the MiniMall MSMEs.
A Feature-Based Approach to Assess Hate Speech in User Comments

Hate speech in user comments is a serious challenge for media actors, platforms, legal authorities, and the general public alike. This form of communication can impair the quality of online discussions, but also poison public discourse and civic life. This explains the plethora of studies from different disciplines addressing this topic. However, the diversity of disciplines and approaches complicate a common understanding of hate speech. Frequently, definitions are too broad, as they include factors such as the intention of the commenter or the consequences for stigmatized groups. Additionally, binary categorizations (hate/no hate) applied in some disciplines fail to consider that hate speech varies gradually and ignore qualitative differences of hate speech dimensions. The present research suggests a feature-based approach to analyze hate speech in user comments focusing on manifest features (group-related labels, swear words, trait and action attributions as well as treatment recommendations), and demonstrates its use in a pilot study.
LibGuides: Future Production: Mining: Research support

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Cut elimination for systems of transparent truth with restricted initial sequents

The paper studies a cluster of systems for fully disquotational truth based on the restriction of initial sequents. Unlike well-known alternative approaches, such systems display both a simple and intuitive model theory and remarkable proof-theoretic properties. We start by showing that, due to a strong form of invertibility of the truth rules, cut is eliminable in the systems via a standard strategy supplemented by a suitable measure of the number of applications of truth rules to formulas in derivations. Next, we notice that cut remains eliminable when suitable arithmetical axioms are added to the system. Finally, we establish a direct link between cut-free derivability in infinitary formulations of the systems considered and fixed-point semantics. Noticeably, unlike what happens with other background logics, such links are established without imposing any restriction to the premisses of the truth rules.
Rethinking Hard-Parameter Sharing in Multi-Task Learning.

Hard parameter sharing in multi-task learning (MTL) allows tasks to share some of model parameters, reducing storage cost and improving prediction accuracy. The common sharing practice is to share bottom layers of a deep neural network among tasks while using separate top layers for each task. In this work, we revisit this common practice via an empirical study on fine-grained image classification tasks and make two surprising observations. (1) Using separate bottom-layer parameters could achieve significantly better performance than the common practice and this phenomenon holds for different number of tasks jointly trained on different backbone architectures with different quantity of task-specific parameters. (2) A multi-task model with a small proportion of task-specific parameters from bottom layers can achieve competitive performance with independent models trained on each task separately and outperform a state-of-the-art MTL framework. Our observations suggest that people rethink the current sharing paradigm and adopt the new strategy of using separate bottom-layer parameters as a stronger baseline for model design in MTL.
SCHOOLS CLUSTERING IN RUSSIAN REGIONS FOR THE CORRECT COMPARISON OF THE NATIONAL EXAM RESULTS

B. Ilyukhin 1, N. Serbina 1, V. Gusljakova2, E. Benks 1, E. Lepustina 3, A. Lepustin 4 1Federal Education Development Institute, The Russian Presidential Academy of National Economy and Public Administration (RANEPA) (RUSSIAN FEDERATION) 2Tomsk State University (RUSSIAN FEDERATION) 3Tomsk State University of Control Systems and Radioelectronics (RUSSIAN FEDERATION) 4Tomsk Polytechnic University (RUSSIAN FEDERATION)
RANCANG BANGUN ALAT KESELAMATAN LALU LINTAS MENGGUNAKAN ARDUINO UNO

The development of technology at this time is arguably quite high, especially in the microcontroller and the design of home and traffic security, many developed countries have implemented technology in their traffic systems. Therefore, traffic in Indonesia needs to use additional technological devices to make the effectiveness of signs more efficient and functioning properly, starting from the pedestrian security system on the zebra cross, the method used is a flowchart, which consists of requirements, design, implementation, testing. , maintenance, the result of this study is to design a safety device for zebra cross users.
An Overview of Cognitive Computing

Cognitive computing is that the use of computerized models tosimulate the human thought process in complex situationswhere the answers could also be ambiguous and unsure. Thephrase is closely related with IBM's cognitive computing system,Watson. Cognitive computing overlaps with AI and includesmany of an equivalent underlying technologies to powercognitive applications, expert systems, neural networks, roboticsand computer game.
Investigating novice and expert programmers' problem solving via protocol analysis

Author(s): Vorobeva, Maria; Muldner, Kasia | Abstract: The goal of the present study was to use content analysis to gain insight into the process of problem-solving of novice and expert programmers. While classic work on programmers identifies goals / plans as key constructs needed to code, there is relatively little work using protocol analysis. We recruited 7 expert and 12 novice rogrammers who completed up to 3 brief programming problems while providing a talk-aloud of their inner problem solving process. Based on analysis of the transcriptions of this talk aloud data, we identified the goals and steps used, as well as the broad differences between experts and novices in their problem solving process. These differences were formalized into python ACT-R models, and model output was compared to programs written by human participants.
Mobile Augmented Reality Application: Understanding Covid-19

Augmented Reality (AR) is a technology in which a computer-generated image is superimposed onto the user’s vision of the real world, giving the user additional information generated from the computer model. AR can present information just in time, in situation when people need it. It is very clear, and it allows you to communicate sometimes, pretty technical and complicated things very effectively. As our society today is not fully aware on the dangerous of this virus, this system is a helpful platform. The aim of this research is to educate and spread awareness about the new diseases Covid-19 that has been rampages all around the world. In line with that, the objective of this application is to make it easier for people to understand precisely about Covid-19 on how it spreads and running through human’s body. In this situation, the learning potential of AR is significantly amplified by the capability of the system to present 3D models in real-time at remote locations.
日本語の樣態の「そうだ」の使用實態について

In this article, we focused on “Souda”, which expresses the meaning of the situation, and examined the actual usage of “~Nasou” and “~Nasasou”, and came to understand the following.First, when “Souda” is connected to the negative form of a verb, “~ Nasou” is grammatical, but in reality, “~-Nasasou” is also widely used.Second, when “Souda” connects to the i-adjective, it connects to the stem, so “Nai” attached to the i-adjective is grammatically “~Nasou”. However, among the i-adjectives taking the form of “~Nai, there are nouns that appear immediately before “~Nai”, such as “Mousiwakenai, Nasakenai, Sikatanai, Tayorinai, Menbokunai, Shozainai” When it is used together, it is mainly used in the “~ Nasasou.Third, when “soda” is connected to the negative forms of i-adjective and n-adjective “~Kunai” and “ ~Dewanai ”, both are “~Nasasou” Only used in form.Fourth, when “Souda” is connected to the negative form of “(Ra)reru”  ~(Ra)renai”, “~Nasasou” is grammatical but “Nasou form is also used.In addition, when “Souda” is connected to the negative form of “Tai” “~Takunai”, “~Nasasou” is widely used.As described above, sufficient attention is required when teaching Japanese that is not described in grammar books and teaching materials but is actually used.
Strengthening Practice Teaching and Improving College Students' Innovative Practice

at present, the form of education in China has changed to a certain extent. In this case, university education should further strengthen the practice link, so that students can effectively master the relevant skills in the process of continuous practice, and achieve a good goal of cultivation. At the same time, the practical content can make college students adapt to the related activities after entering the society in the future, reduce the probability of cognitive deviation, and achieve a good development goal. This paper deeply studies the importance and relevant measures of strengthening practical teaching links, and clarifies the concept of improving college students' innovative practical ability for reference by relevant personnel.
Residual Neural Network Based on Attention Mechanism for Visibility Estimation of Fog Figure

In this paper, in order to improve the accuracy and robustness of the fog figure visibility estimation, we propose an image visibility estimation method based on the improved Residual convolutional neural networks (i.e., ResNets). The Convolutional Block Attention Module (CBAM) is embedded in the structure of ResNet34, effectively improving the performance of the network. We use this method to conduct experiments based on airport surveillance video, comparing our method with other methods tested on the same data set. In the experiments of this paper, we use data augmentation (DA) to expand the number of the image samples, and use stochastic gradient descent (SGD) to minimize the loss. The experimental results show that the visibility estimation method proposed in this paper outperforms in terms of prediction accuracy and training speed under the same conditions.
Promoção de Qualidade de Vida para Pessoas com Deficiência: contribuições de um Projeto de Extensão em tempos de pandemia

This study aims to find out what contributions the extension project “Qualidade de Vida para Todos” (PQVT) can provide remotely for the quality of life of people with disabilities (PWD) in a pandemic period. PQVT has the specific objective of promoting quality of life for people with disabilities through aquatic activity. It is formed by a multidisciplinary team of students from the Physical Education, Speech Therapy, Physiotherapy and Psychology courses from Pontificia Universidade Catolica de Minas Gerais (PUC Minas). Its audience includes people with intellectual, physical, multiple, hearing and visual disabilities as well as Autism Spectrum Disorder. In view of COVID-19's pandemic period, it was necessary to reformulate the practices of this project, in order to adapt them to the virtual environment and continue the regular contacts with the beneficiaries at a distance. As a research methodology, the bibliographic research was adopted through the search of theories that justify the necessity to assist people with disabilities in the current period and, later, this was articulated with the activities carried out in PQVT and with the reports of its beneficiaries. It is concluded, in the end, that the practices reformulated by the project contributed to the socio-affective, physical and cognitive spheres, in addition to having positive effects in coping with the challenging current moment, in a way that PQVT maintained its proposal to promote quality of life for PWD. The potential of university extension for a more humanistic professional qualification and its contribution to human development is also highlighted.
A Compact Index for Cartesian Tree Matching

Cartesian tree matching is a recently introduced string matching problem in which two strings match if their corresponding Cartesian trees are the same. It is considered appropriate to find patterns regarding their shapes especially in numerical time series data. While many related problems have been addressed, developing a compact index has received relatively less attention. In this paper, we present a 3n+o(n)-bit index that can count the number of occurrences of a Cartesian tree pattern in 𝒪(m) time where n and m are the text and pattern length. To the best of our knowledge, this work is the first 𝒪(n)-bit compact data structure for indexing for this problem.
Jurisprudence Of Forensic Science Evolution Practice And Future

Forensic Science is the mixed blend of science and law and expert opinion is corroborative in nature to establish truth. The jurisprudence of forensic evidence is essential to understand by forensic expert and other stakeholders of criminal justice system so that the scientific acumen may withstand in the court of law. Forensic Law incorporates guiding principles for law enforcement agencies and the courts to have the best use of scientific advancements in the domain of legal evidence to help the court to reach to truth while administering justice. The forensic evidences, despite being the secondary evidence, are neutral in nature and hence have great corroborative value. This article is the culmination of legal analysis of judgments delivered by the Constitutional Courts in India also we will take a look on law of right against self-incrimination. The research paper is based on the right against self-incrimination and analyzed its scope and nature. It is important to discuss such relevant concepts so that scientific evidence may assist the court in ensuring justice.
Web-based Management Information System of Cases Filed with the National Labor Relations Commission

This study was developed to describe the daily operations and encountered problems of National Labor Relations Commission Regional Arbitration Branch No. IV (NLRC RAB IV) through conducted observations and interviews. These problems were addressed and analyzed to be the features of the developed web-based management information system (MIS) of cases. The system covered managing filed complaints, Single-Entry Approach (SEnA), labor cases, and report generation. The findings, through the interview, of handling records were inconsistent and inaccurate. The research methodology utilized in this project was the descriptive developmental approach. The Agile Software Development methodology was followed to develop the system. It was used to quickly produce the desired output while allowing to go back phases without finishing the whole cycle. This study also focused on ensuring the Data Privacy Act of 2012, protecting the database's information using XOR Cipher Algorithm. This study was evaluated using standard web evaluation criteria. Using the criteria, the study's overall mean was 4.27 and 4.43, both with the descriptive meaning of Very Good, which showed that the system was accepted as perceived by experts and end-users, respectively.
FMEA에서 믿음 엔트로피와 증거거리를 이용한 리스크 평가 방안

Purpose This study is to demonstrate a novel risk evaluation approach using a combined weight of team experts in the Failure Mode and Effects Analysis (FMEA) model under uncertain circumstances that are caused by highly conflicting opinions between team experts and unknown information about Risk Priority Number (RPM) evidence.Methods To recognize any uncertainty due to conflicting evidence and unknown information between the team experts, a novel combined weighting factors of the RPN evidence is generated by the framework of Dempster Shafer Theory (DST). The total combined weighting schemes is composed two parts: One part consists of belief entropy and belief conflicting coefficient to consider team experts’ conflicting opinions. Whereas, another part is based on the evidence distance such as belief Euclidean distance and belief cross entropy to consider team experts’ uncertainty about RPN evaluation.Results A novel risk evaluation model using a combined weighting factors to address uncertainty in FMEA is proposed. The case study, Advanced Driver Assistance System (ADAS) consisting 7 components and 7 parts, is illustrated to show the effectiveness and usefulness of the proposed method.Conclusions The suggested FMEA model is convenient for the risk evaluation in the following uncertain situations: i) The team experts’ opinions are highly conflicting. ii) The information of RPN evidence are imprecise and unknown. The proposed FMEA method is advantageous for effectively making a group decision of team experts in the presence of uncertain RPN evidences.
Inherence bias in explanation increases with age and cognitive impairment

Author(s): Zemla, Jeffrey; Chambers, Blake H; Austerweil, Joseph Larry; Cimpian, Andrei | Abstract: People tend to explain events using inherent more than extrinsic factors, a phenomenon known as the inherence bias. This bias is hypothesized to be more pronounced when cognitive resources are scarce. Here, we tested an important prediction of this account: namely, that aging and cognitive impairment should increase the inherence bias in explanation. Participants were shown vignettes of surprising scientific discoveries, and were asked to generate and evaluate explanations for those events. Our results indicate that as age increased, participants were more likely to generate inherent explanations, though age did not lead participants to endorse more inherent explanations when generation was not required. Older adults with Mild Cognitive Impairment generated a similar proportion of inherent explanations as healthy adults on average, though they did not do so increasingly with age. These findings suggest that cognitive deficits due to aging can have downstream effects on how we engage in complex reasoning.
A Survey On Enhancing The Performance Of Live Migration Of A Virtual Machine In The Cloud Environment

Cloud computing uses virtualization for cost effectiveness and flexibility. Virtualization allows multiple operating systems to run on single physical system by sharing the underlying resources. Virtualization uses virtual machines which in turn use hypervisor to manage the underlying resource. Also, these virtual machines are managed through live migrations. Live virtual machine migration is a method of moving virtual machine across hosts within a virtualized datacenter. It provides significant benefits to the cloud administrator to manage datacenter efficiently by performing load balancing, server consolidation, hotspot mitigation, fault tolerance etc. Also, it reduces service interruption by transferring the virtual machine without stopping at source.in this work we going to reduce the total time and downtime, minimize the data while transferring from source host to destination host