Reviewerly/exHarmony huggingface dataset:
국립과천과학관의 생물 전시물 관람에서 초등학생들의 안구운동 분석

The purpose of this study is to analyze the eye movements when elementary students watch biological exhibits at the science museum. This study was conducted in the biology section of ‘Basic Science Hall’ in Gwacheon National Science Museum. The ten elementary students participated in this study wearing eye tracking glasses (ETG). To ensure the validity of the study, only 4 students were selected as the final analysis targets. After every student had enough time to get used to ETG, each student walked around the science museum freely and enjoyed the exhibits without any regulations. All the eye movements and utterances made during the observation were recorded. All the following interviews were also recorded. The results of this study are as follows. First, the students tended to watch the biological exhibits according to their individual characteristics rather than the characteristics of the exhibits. The types of exhibits they selected and the time they spent for watching exhibits were mostly influenced by the individual’s interest and background. Second, despite the different characteristics of the students, there were exhibits commonly visited. Most students watched those attractive exhibits over the average time. These exhibits were found to be influenced by the exhibition elements and students’ routes in the museum. Third, students commonly watched some specific elements of exhibits according to the kind of display element, difficulty of contents, position and appearance. On the other hand, there were differences in eye movements in exhibits due to individual characteristics or preferences. Fourth, the interest in exhibits is related to the degree of understanding, rather than the time the student spent for the exhibits. Besides, the degree of understanding exhibits was influenced by the text explanations of the biological exhibits and the prior knowledge that students have.
Representation of information prediction in the brain

The human brain can generate information predictions to facilitate visual processing. We used a cued left vs. right Gabor patch orientation task to trace the dynamics of visual information predictions. On each trial, three observers categorized low and high spatial frequency Gabor patches displayed at one of 3 orientations (-15, 0, +15 deg.) at one of two locations (right vs. left visual field) while we measured their brain’s magnetoencephalographic (MEG) activity. In a two-stage cueing design, a visual cue (a dot on the screen) predicted the visual field location of the incoming Gabor, followed by an auditory cue (at 220 Hz, LSF; 1760 Hz, HSF; 880 Hz, uncued control) that predicted the spatial frequency (SuppFig. 1-A, B). Observers indicated the spatial frequency of the Gabor with a key press. As expected, valid cueing reduced reaction times in all observers, p<0.001, observer 1: 562 vs. 662ms, observer 2: 390 vs. 515ms, observer 3: 454 vs. 505ms, SuppFig. 2. We traced the prediction dynamics in the 1s that followed the spatial and auditory cues by computing the mutual information between the cue and the corresponding responses of 12,773 MEG voxels sampled every 2ms. Spatial cueing induced an early (123-136ms post spatial cue) contra-lateral representation of the dot cues in occipital cortex that extended to frontal regions (189-246ms) and came back as a prediction in occipital cortex (326–363ms, SuppFig. 3 and 4). Auditory cuing revealed a similar early representation in auditory cortex (80–91ms post auditory cue), followed by an extension to frontal regions (156-207ms) and a prediction back into occipital cortex (334–359ms, SuppFig. 4). Our results indicate that the early sensory processing of a cue (visual or auditory) propagates first to frontal area from which we traced a backward flow into occipital cortex that speeds up perceptual decisions.
The future of software security is instrumentation (keynote)

Software is incredibly hard to secure because it’s a black box. We’ve spent decades trying to verify properties of software by analyz- ing the source code, scanning, fuzzing, pentesting, etc. only to be continually outpaced by software complexity. Instrumentation is a powerful approach for measuring security directly from within run- ning code. In this this talk, you’ll learn how to use the free and open source Java Observability Toolkit (JOT) project to easily create your own powerful runtime instrumentation without coding. You can use JOT to analyze security defenses, identify complex vulnerabili- ties, create custom sandboxes, and enforce policy at runtime. You can even create your own IAST tests and your own RASP defenses using JOT. Ultimately, we’ll show that security instrumentation empowers development and security to work together in harmony.
Category Rule Learning Transfers to Target Verification but Often Fails to Transfer to Search Guidance

Models of categorical search suggest there is a cyclical process in which attention is guided to the most category-consistent peripheral stimulus, which is subsequently categorized. This process repeats until the target is found or search terminates (Yu, et al., 2016). We asked if the same classification rule is used to guide attention to peripheral stimuli, and to categorize it. Compared to foveal categorization, low-acuity categorization in peripheral vision would be akin to making the categories less discriminable. Categories learned via explicit rule (RB) are more easily generalizable to stimuli in new feature spaces than categories learned via implicit rule (II; Casale, et al., 2012). Accordingly, we hypothesized that categorization rule use would transfer to search guidance moreso in RB relative to II. Participants learned to categorize sinusoidal gratings using an RB or II rule and then completed a search task in which eye-movements were recorded. Decision-bound models identified the rule participants used in category learning, and to direct attention to and verify the target during categorical search. Categorization and search target verification generally resulted in participants using an optimal classification rule (an integration or independent decision rule) regardless of categorization condition. However, categorical guidance, defined as the percentage of target first fixations, showed that only 30% of II participants used the optimal classification strategy, as opposed to 60% of RB participants. This suggests a disassociation between the rule used to categorize foveally and the rule used to categorize peripherally, with a larger discrepancy in II relative to RB. When examining search performance, participants who used the optimal rule to guide search had smaller RTs and stronger guidance (both, p<.05), regardless of condition. This suggests that despite demonstrating robust search guidance and the ability to categorize stimuli foveally, the optimal classification rule often fails to transfer to search guidance.
Estimation of First Passage Time Probabilities at Second Transition respecting Evolutionary MCMC Algorithms

With regard to genetic algorithms with bit mutation, the target is to offer novel algorithm to obtain experiential and theoretic results for first passage time probabilities estimation at second transition. The estimating proposed formula is true to get the desirable conditional bivariate distribution with regard to any regular Markov Chain
The Experience of Expert Networking in Analyzing Biographical Interviews

The Interpretation of the same (or similar) text (interview, memoirs, etc.) by different experts may lead to different results.This situation leads to doubts about the scientific nature of the methods.But we have an opportunity to increase the efficiency of work by integrating individual solutions of experts into the intelligent Internet system.In the context of sociological research the term "increasing efficiency" means the possibility of collective data encoding; storing variants of text interpretations; linking them to primary data; rapid and meaningful exchange of information between members of the research group, etc.The need for data integration is obvious, when working with oral history data (both primary (interview texts) and secondary (field notes, memos, etc.)).At the same time, it is of great importance to establish semantic links between its elements.In the modern world, such tasks are implemented using various information systems.The traditional approach to using IT and Internet systems to collect and integrate the knowledge of a team of experts is based on the use of semantic wiki systems.It is also necessary to create an information space over integrated information.This task requires the use of smart space technologies.The ontological model sets rules for the intellectualization of information suitable for machine processing.Thus, the knowledge base consists of data (semantic content) and rules (ontological model) by which this data is structured.Connections between data allow you to organize the semantic network.The goal of the authors' team was to increase the efficiency of data interpretation by automating processing and using new services within an information system operating on the basis of a semantic network containing interview texts and related information.As a result of the project implementation, it has been possible to develop a prototype of network interaction of experts in the analysis of biographical interviews in the framework of intelligent Internet systems, in a single information space and service models for collective encoding of information, conducting field and analytical memos.
Learners’ Difficulties in Self-evaluation in English Vietnamese Translation Quality Assessment

The field of English translation and interpretation has shown an increasing popularity in Vietnam in the context of globalization. However, translation in the target culture still has a certain number of problems in transferring the equivalence between two languages, which causes some ambiguities and misunderstandings for readers (House, 2015). Hence, translation quality assurance is significant in ensuring the degree of suitability of the texts as a post-translation process (Munday, 2016). This paper aimed to investigate the difficulties of English majors of translation and interpretation in assessing the quality of texts translated from English to Vietnamese during the learning process on an independent basis. The study employed the mixed method with 50 fourth-year students at Nguyen Tat Thanh University via questionnaires. The findings revealed that those majors had to deal with five main groups of troubles including (1) time constraints, (2) non-equivalence between English and Vietnamese, (3) insufficient cultural understandings, (4) inadequate supports from lecturers, and especially (5) the lack of official framework for translation quality assessment. This paper also proposes the fundamental for university curriculum developments from the learners’ perspectives.
LibGuides: Free Cataloging Resources: Authorities

A collection of free cataloging resources for New Mexico libraries, librarians and library staff Resources for finding, creating and editing authority records
Penerapan Sistem Informasi Akuntansi dan Pengendalian Internal Persediaan Pada Yoris Bakery Pamekasan

In this sophisticated and modern era, a good accounting information system is needed, and good internal control is also needed to minimize things that can harm the company. This is also done for the survival of the company so that the company can run its operations, aka not out of business. The purpose of this study was to determine how the application of accounting information systems and internal control of inventory accounts at the bakery Yoris Bakery Pamekasan. This type of research is qualitative research, using the triangulation method, using data in the form of ordering cycles, inventory cycles, and job descriptions, while the informants are the managers and employees who work at Yoris Bakery on Jalan R. Abd. Aziz and Jalan Trunojoyo. The results showed that the application of accounting information systems in Yoris Bakery has not worked optimally so that it is necessary to use a computerized recording system to avoid recording errors, and the application of internal control is still less effective, it still needs to be increased again. Keywords : Accounting Information System; Internal Control; Inventory Account
Investigating COVID-19 Crisis Influence on Universities’ Websites Content in Egypt

This research primarily targets investigating the COVID –19 crisis impact on the content of private and national universities' websites in Egypt; this target was achieved by employing a qualitative approach and analyzing the content of these universities' websites regarding determined keywords. The number of private and national universities in Egypt reached 23 universities in June 2019 (Information and Decision Support Center System, 2020a), the research sample consists of 17 universities websites randomly selected (approximately 74 %). The research findings revealed moderated fluctuated modifications in identified keywords usages in the examined universities' websites. In most of the examined universities websites, the updates were dated recently; that reflect their interest in being responsive toward the COVID –19 crisis, and developing plans for managing and mitigating the crisis impact. All of the 14 identified keywords were exist in examined universities websites with noted variances in their number of presences and its occurrences/frequencies. The found keywords were rated based on presences on the investigated universities websites, moreover, they ranked based on their occurrences/frequencies of presences.The investigated universities' websites were graded based on presence keywords to the total number of identified keywords (ratio), and the frequencies of all existing keywords on the university website.
Online Messages Sentiments Analysis Based on Long Short-Term Memory

In December of 2019, an extremely infectious and deadly pandemic ambushed China. In Wuhan, the novel coronavirus COVID-19 suddenly broke out and spread rapidly to other countries. COVID-19 became a worldwide disaster, affecting not only physical, but also emotional health on a global scale. We wanted to record this change based on the sentiment analysis model and to examine the relationship between world events and the positivity of posts on social media.&#x0D; To analyze this relationship, we utilized a set of movie reviews as a training sample to construct a sentiment analysis model based on the Long Short-Term Memory neural network theory, and calculate the texts&amp;#39; sentiment score. We then analyzed the overall trend of the data, and discussed the reason behind the tendency. The principal result was that, as the pandemic progressed, online sentiment generally became more positive. We believe that this is because people gradually become more accustomed to life in the COVID-19 era.
Cluster method of mathematical modeling of interval-stochastic thermal processes in electronic systems

A cluster method of mathematical modeling of interval-stochastic thermal processes in complex electronic systems (ES), is developed.In the cluster method, the construction of a complex ES is represented in the form of a thermal model, which is a system of clusters, each of which contains a core that combines the heat-generating elements falling into a given cluster, the cluster shell and a medium flow through the cluster.The state of the thermal process in each cluster and every moment of time is characterized by three interval-stochastic state variables, namely, the temperatures of the core, shell, and medium flow.The elements of each cluster, namely, the core, shell, and medium flow, are in thermal interaction between themselves and elements of neighboring clusters.In contrast to existing methods, the cluster method allows you to simulate thermal processes in complex ESs, taking into account the uneven distribution of temperature in the medium flow pumped into the ES, the conjugate nature of heat exchange between the medium flow in the ES, core and shells of clusters, and the intervalstochastic nature of thermal processes in the ES, caused by statistical technological variation in the manufacture and installation of electronic elements in ES and random fluctuations in the thermal parameters of the environment.The mathematical model describing the state of thermal processes in a cluster thermal model is a system of interval-stochastic matrix-block equations with matrix and vector blocks corresponding to the clusters of the thermal model.The solution to the interval-stochastic equations are statistical measures of the state variables of thermal processes in clusters -mathematical expectations, covariances between state variables and variance.The methodology for applying the cluster method is shown on the example of a real ES.
The Impact of Training and Development Programs on Employees Performance: The Case of Lebanese SMEs

Training is an agency's effort to encourage training between its employees and development is an effort which is more focused on developing an employee's abilities for potential responsibility. Professional development programs have implications for motivating and involving the employees in an attempt to improve performance. Training and development is an initiative by an organization to encourage the education of its staff, and learning is an emphasis on improving the future accountability capabilities of an employee. Training and development are a constant effort to improve workplace skills and organize productivity in order to improve workforce capability and output. In certain developed countries, such as Great Britain and the Economic Development of China, human capital training has played an important role. Such opportunities can also be found in a developing country such as Cameroon, with an abundant natural source of energy and financial support, if the development and mentoring of its human capital is given due consideration. Both components and activities in an entity involve human beings. For starters, managers would not be successful if a manager had subordinates who were not adequately prepared with experience, qualifications, abilities, and skills Some of the main objectives of human capital leadership is to create the conditions by which workers ' latent ability will be noticed and their dedication to the organization's achievement protected. The research implemented the quantitative methodology throughout distributing the questionnaires using the survey methodology and then analyzing the collected data using the SPSS statistical tool. The results showed a direct relationship between the mentioned variables since the regression analysis showed a relation below than 5%.
Top 100 Websites Most Visited by Search Traffic (as of 2020)

Here's the list of top 100 websites by search traffic in the US and worldwide. In total, they get almost 31 billion visits per month.
The Applications of Artificial Intelligence in Cancer Biology

Having heard that artificial intelligence is going to be used everywhere, the application of artificial intelligence in cancer is one such example. Through deep learning, it is possible to make a model that can particularly predict an individual’s response to a specific treatment. It is also said that artificial intelligence can be used to detect the different stages of cancer.
Ortaokul Öğrencilerinin Bilgi Güvenliği Farkındalığı

Information technologies have affected every area of life and have caused important changes especially in education. Secondary school students come first among the groups that are most affected by this change. As the use of information technologies is spreading rapidly both at school and at home, it is not known how ready students are for this change. The purpose of this study is the measurement of information security awareness of secondary school students within the information society shaped by the rapidly developing technology. The subjects of the study consist of 400 students studying in the fifth, sixth, and seventh grades of Akkapi Sehit Kemal Yuzgec Secondary School in the 2019-2020 academic year. Information and Awareness Survey, with 30 questions and two parts, was applied to students. The first part contains the questions determining the socio-economic levels and personal information of the students and the second part includes the Information Security Questionnaire. The applied questionnaire was analyzed using the SPSS program. The reliability coefficient of the questionnaire was determined as 0.699 with a pilot application. Since the reliability coefficient of the research was over 0.50, it was accepted that a reliable measurement was made. Students' technology usage and information security awareness; t-test and one-way ANOVA analysis were applied for independent samples to determine whether they differ according to gender, age, and class, for the duration of internet usage and internet usage purpose. The Scheffe test was used to determine the groups in which the difference was significant. As a result of the results of the analysis among the information security awareness of the participants; accounting the variables of gender, age, class, time spent on the internet and the purpose of internet usage, it is seen that the difference was meaningful
Assistance of Artificial intelligence and IoT

IoT is one of the most intrinsic building blocks in Industry 4.0,everybody has heard the word IoT but most of them don’t knowwhat IoT is and it’s crux. Many people who use Iot devices aren’taware that they’re using it. Iot is omnipresent, now what is Iot akaInternet of things?Fetching data, this data can be anything like temperature, pressure,humidity etc from the environment and pushing it throughthe internet for the purpose of monitoring, triggering some actionsor for some analytics.Now let’s see how it alleviates the day-to-day life of a common man.The basic principle of Iot is the idea of devices that collect informationand are able to deliver it across great distances. And it isthis capability of IoT that makes it the next big thing in the industry.I will explain it through a basic example, imagine you’re goingabroad after boarding the flight you realise you forget to switchoff the light and fans, if your home appliances are powered byIoT then you could switch off with the help of your smart phonein a click. Sound’s interesting na? This is just a tip of the icebergvarying from agriculture, automotive, health care, hospitality thereare umpteen use cases IoT can take care of. With the help of datafetched by IoT further prediction can be made with the assistanceof artificial intelligence.Biography:I’m an IT professional with experience in IoT and AI domainoutfitted with B. Tech in Electronics and Communication Engineeringand PG Diploma in Electronic Product Design and Manufacturing.Kick started career as an IoT developer in a product developmentdomain thereafter get involved in AI as well as a part ofpersonal interest and professional passion. Contributed in multiaspects of product development life cycle from requirement analysisto product release. I follow “Learn, upgrade, evolve and contributesomething to improve and alleviate the lives of mankind”as professional philosophy and “Supporting the underprivilegedwith the fortunes made through profession” as personal philosophy