Reviewerly/exHarmony huggingface dataset:
Evidence for the world as an external memory: A trade-off between internal and external visual memory storage

Contrary to the experience of a complete representation of our surroundings, representations of our visual surroundings are limited and constrained by the capacity limits of visual working memory (VWM). However, as long as visual information is readily available in the external visual world, there is no need for a complete internal representation of the outside world, as the world can act as an external memory source. Previous studies have therefore proposed a trade-off between storing information in VWM and making saccades. Here we directly tested this trade-off by using a copying task in which participants were instructed to remember, and copy a model consisting of an arrangement of many elements. If there is an adaptive trade-off between using the external visual world and VWM, the trade-off should be influenced by increasing the cost associated with using external information. We therefore increased the cost of a saccade by increasing the amount of time between saccade offset and external availability of visual information. Results show that participants made numerous eye movements between the work-space, model and blocks, often making one saccade per action performed. Increasing saccade costs resulted in more saccades towards the model and an increased dwell time on the model, suggesting a shift from making eye movements towards taxing internal VWM. Our study provides strong behavioral evidence for a trade-off between using the external world as a memory buffer, versus building complex internal representations. Prior research has shown that VWM and eye movements are directly linked and our results provide evidence that that the link between executing eye-movements and building an internal representation of our world is based on an adaptive mechanism governed by cost-efficiency. Lastly, these results indicate that the default mode of executing many eye-movements is more cost-efficient than storing information in memory.
The Mediating Effect of Peer Communication between Social Withdrawal and Life Satisfaction of College Students

Introduction. In this study, an examination as to whether social withdrawal on the part of college students has an effect on satisfaction with college life is presented along with an analysis of the possible mediating effect of peer communication on social withdrawal and dissatisfac tion with college life. Material and Methods. A total of 1,220 college students were analysed using the 7th year data of the Korea Child and Youth Panel Survey conducted by Korea Youth Policy Institute in 2016. Analysis using SPSS 23 and AMOS 23 software programs was carried out, along with t-test, ANOVA and structural equation analysis. Results. A significant variation in satisfaction with college life according to demographic factors was noted. It was also found that social withdrawal has a direct impact on satisfaction with college life: the higher the degree of social withdrawal, the higher the satisfaction with college life. Moreover, social withdrawal increases satisfaction with college life as a function of peer communication. In other words, peer communication indirectly affects both social withdrawal and satisfaction with college life . Discussion and Conclusion. Based on the results of this study, practical suggestions are proposed for improving the life satisfaction of college students. Programs for improving peer communication and increasing social interaction should be developed for college students.
A Study and Performance Evaluation of Various Optimization Techniques for Travelling Salesman Problem

The Travelling Salesman Problem is one of the most popular problems from the NP set. It is also one of the hardest too. The solution to this problem enjoys wide applicability in a variety of practical fields. Thus, it highly raises the need for an efficient solution for this NP Hard problem. Travelling salesman problem (TSP) is a combinatorial optimization problem. Travelling salesman problem is the most intensively studied problem in the area of optimization. But with the increase in the number of cities, the complexity of the problem goes on increasing. The Travelling Salesman Problem is one of the very important problems in Computer Science and Operations Research. It is used to find the minimum cost of doing a work while covering the entire area or scope of the work in concern. In this paper, we have solved Travelling Salesman Problem using three approaches that are Ant Colony Optimization, Genetic Algorithm Approach and The Hybrid Optimization Algorithm based on Genetic Algorithm and Ant Colony Optimization.
SYLVESTER HOGOTSKY ON THE PUBLIC SETTING OF PEDAGOGY

Серія «Філософія», 2019 19 people and inspired in these bodies individual souls.The human soul is not material and it has an ideal origin and three interrelated elements -intellectual, volitional and sensory-emotional.Cicero gave a definition of the will.To his mind, our desire and joy appear from our understanding of good, therefore, what seems to us to be a blessing becomes the goal of achieving.The desire, mastering the person, becomes a driving force in the realization of the goals and impetus to action.When desired is achieved -a person rejoices.Because according to the laws of nature, all people aspire to what they consider to be good, and avoid the opposite.Therefore, if an object seems to be a blessing, then the human nature orders to achieve it.If this desire is stable and intelligent, we call it will.So, the will is a stable and reasonable wish or desire, aspiration or appetency for good but if it is all very excited and not intelligent, then it is already lust and evil.The freedom of person according to Cicero does not mean to have everything, not to obey someone and to live as one wants.The point is in the ability to have the will to obey, if it is necessary, to manage other people, when it is a moral or state duty, not to submit to fate or other external circumstances, to do extremely useful things for everybody, despite great difficulties and danger.Originality.The doctrine of Cicero about freedom and freedom of will has not been practically investigated by contemporary philosophers and was almost forgotten, but it had a great influence on A. Augustin, representatives of the Renaissance, French enlighteners and others.Conclusion.It is necessary, firstly, to draw attention of philosophers to the further continuation of the study of this problem in Cicero's philosophical heritage and, secondly, to study the influence of his views on freedom and freedom of will in defining these concepts for philosophers of the subsequent historical epochs.
RISK MANAGEMENT OF OYSTER MUSHROOM AGRIBUSINESS IN JEMBER DISTRICT

The purpose of this study was to determine the risk management of oyster mushroom agribusiness in Jember District. Oyster mushroom farming as an alternative to post harvest and can be used for meat and fish substitution foods. In fact there is a factors that are difficult to predict, easy to change and cannot be controlled. Constraints in agricultural excellence such as environmental risk, production risk, supply risk and demand risk. Implementation management needs to be done to minimize the aspects to be disputed. one of the risk management methods is the FMEA method (Failure Mode and Effect Analysis), this method is useful to identify and allow as much as possible. The research method used in literature studies. Study results show the highest risk are contamination, pest disorders, inoculation, media sterilization dan sifting of raw materials&#x0D; Keywords : Oyster Mushroom, Risk Management
Aplikasi Reservasi Maintenance Kendaraan Berbasis SMS Gateway

Private or public vehicles as a means of transportation are now increasingly being used. This develops along with a large number of residents in their daily activities. With so many vehicles the need for vehicle maintenance centers is also growing. At present, the vehicle maintenance center is not proportional to the number of vehicles. This problem is seen by many vehicle users who are waiting to take care of their vehicles and some of them have to make reservations. Reservations made are still conventional in nature that is still making reservations at the vehicle maintenance center. Therefore, the purpose of this paper is to explain the making of the SMS Gateway vehicle reservation application. The method used is the Software Development Life Cycle (SDLC) using PHP, MySQL, and Gammu programming. This research produces an application that can make customers make vehicle maintenance reservations remotely using SMS media. And customers can receive information about vehicles that have been completed through maintenance via SMS sent via the application server.Keywords:Reservation, Vehicle, Information System, SMS gateway
A no-reference framework for evaluating video quality streamed through wireless network

In this work, a no-reference framework is proposed for the video quality estimation streamed through the wireless network.The work presents a comprehensive survey of the existing full reference (FR), reduced reference (RR), and no-reference (NR) algorithms.A comparison has been made among existing algorithms, i.e. in terms of subjective correlation and feasibility to use these algorithms in wireless architecture, to describe the necessity of the proposed framework to overcome the limitations of the existing algorithms.A brief summary of our previously published algorithms, i.e.NR blockiness, NR blur, NR network, NR just noticeable distortion, and RR, has also been presented.These algorithms have also been used as function modules in the proposed framework.The proposed framework is able to measure the video quality by taking into account major spatial, temporal, network impairments, and human visual system effects for a comprehensive quality evaluation.The proposed framework is able to measure the video quality compressed by different codecs, i.e.MPEG x / H.264x, Motion JPEG/Motion, and JPEG2000, etc.The framework is able to work with two different kinds of received data, i.e. bit streams and decoded pixels.The framework is an integration of the RR and NR method, and can work in three different modes depending on the availability of the RR data, i.e. 1) only RR measurement, 2) hybrid of RR and NR measurement, and 3) only NR estimation.In addition, any individual function block, i.e. blurring, can also be used independently for particular specific distortion.A new subjective video quality database containing compressed and distorted videos (due to channel induced distortions) is also developed to test the proposed framework.The framework has also been tested on publicly available LIVE Video Quality Database.Overall test results show that our framework demonstrates a strong correlation with subjective evaluation of the two separate video databases as compared with other existing algorithms.The proposed framework also shows good results while working only in NR mode as compared with existing RR and FR algorithms.The proposed framework is more scalable and feasible to use in any kind of available network bandwidth as compared with other algorithms, as it can be used in different modes by using different function modules.
Analysis of the Conditions of Luzhou-Flavor Liquor Based on Information Fusion

The fermentation process of Luzhou-flavor liquor is almost uncontrollable, and at the same time, in his production process, the fermentation method is utilized.Therefore, eel conditions are an important reference indicator for liquor fermentation.In the study of the conditions for the emergence of Luzhou-flavor liquor, the quantitative evaluation of the conditions of liquor discharge was achieved by the cloud model and the improved D-S (Dempater-Shafer) evidence theory.There are five main factors that have a profound influence on the sputum conditions, namely temperature, moisture, acidity, starch content and reducing sugar.The membership degree cloud model is established by Matlab simulation for the out-of-the-box condition, so that each parameter has its corresponding membership function.The collected sample parameters are used to realize the membership degree of each evaluation standard through the cloud model, and the sample data are analyzed by using the improved D-S evidence theory.Through experimental analysis, the outburst condition of liquor can reach a more accurate quantitative analysis, so as to guide the fermentation process of Luzhou-flavor liquor, and then improve its yield and quality.
A descriptive study of utilization of blood and blood components in a tertiary care hospital, Gadag

Blood Transfusion Service (BTS) is an essential part of modern health care system without which medical care is impossible.The blood components implies separation of whole blood into various components like packed red cells (PRBC), platelets rich plasma, fresh frozen plasma (FFP), cryoprecipitate and leucocytes.Separating blood into its various components allows a single unit of blood to benefit several patients and provides a patient only the blood component which is needed.However, transfusions are not without risks, and they should be given only when true benefits are likely.With the easy availability of blood products and increased risks of transfusion transmitted diseases, proper monitoring of the transfusion practices is necessary.A retrospective cross sectional study was conducted at District Hospital, Mallasamudra, Gadag.The data was collected from issue and cross matching register of last 1 year duration, from June 2018 to May 2019.Total 3744 blood units utilization was assessed.2 units of blood units were given to 94 patients, 3 units to 22 patients and more than three units were given to 9 patients.As compared to males, females utilized the multiple episodes of blood.Total multiple units given were 130 in which 125 patients received the same blood components and others received different blood components.Even though the number of blood units utilized were 3744 but the total beneficiaries were 3614 patients.Most of the blood units were requested by Medicine department followed by OBG department.1666 blood and blood components utilized by Medicine department and 1463 were requested by OBG department only for females and in Medicine department male patients utilized higher blood transfusions compared to females.Least units were utilized by Orthopedics department.ENT, Ophthalmology, Dermatology departments not requested any blood units.One unit of blood was given to Microbiology department for the culture preparation.
The Whole-process Research Paper Writing Task in the College EST Course

The current situation requires college students to develop their academic English competences, but the input-focused EST courses canâ€™t meet the needs. This paper introduces and analyses the design of the whole-process writing task in the College EST course. This task requires the students to do a research and report it in the paper, which stimulates students to think and work hard in and out of class to plan and do the research creatively and learn various skills to finish the output task, research paper writing. The actual teaching and learning result shows it works well and has gained success to some degree.
Case Data Analysis of National College Satisfaction Survey— Promoting School Reform and Development

The National Institute of Education Sciences (abbreviated as NIES) launched the second round of national college satisfaction survey in 2018. This paper starts with the analysis of the student questionnaire, using perspective table, column chart, pie chart, word frequency chart to analyze data. Based on the five dimensions of educational expectation, education quality perception, education environment perception, education equity perception, and education overall satisfaction, this paper analyzes and counts the questionnaires of staff and students in Chongqing College of Electronic Engineering, further use the Likert scale to calculate the scores of various indicators. situation; The cluster algorithm is used to analyze multiple choice topics and the key words of students 'opinions are summarized, and different sizes are displayed according to the frequency of words. The open questions such as "Modern Apprenticeship System" are analyzed. Through the analysis of the results of the questionnaire, this paper points out the problems that should be paid attention to and improved in education and teaching. With the twelve first-class constructions as its goal, it is necessary to establish a high-quality school with high credibility throughout the country.
PSYCHOLOGY OF AUTHOR IN “ANNE OF GREEN GABLES” NOVEL WRITTEN BY LUCY MAUD MONTGOMERY

The objective of this research is to analyze the psychology of Lucy Maud Montgomery as a write which is reflected in her novel entitled Anne of Green Gables. The technique of collecting data is data documentation technique that is a record of events that has passed. The documentation covers the content of Montgomery’s novel and her biography. The approach in analyzing the novel is psychological approach. The result is Lucy Maud Montgomery as the author and Anne as the main character in the novel have imaginative personality which belong to practical imaginative type, has desire to be appreciated, and loneliness. Besides, loneliness gives the impact towards Lucy Maud Montgomery in creating her personalityin writing her works.
A Deviation Revealing Approach for Data Cleaning

Information superiority is significant to organizations with the use of data mining; Anomalous data values detection is a most important step in many data related applications. Anomalous data make the performance of data analysis difficult. The presence of anomalous data value can also pose serious problems for researchers. In fact, in appropriate handling of the Anomalous data values in the analysis may introduce bias and can result in misleading conclusions being drawn from a research study and can also limit the generalize ability of the research findings. There are numerous techniques for Anomalous data detection, while using Inliers and Outlier techniques and their different measures in data mining. This article introduces anomalous data detection algorithm that should be used in data mining systems. Basic approaches currently used for solving this Anomalous data values finding, problem are considered, and their results are discussed using table.
Detection of Media Piracy using Artificial Intelligence, Machine Learning and Data Mining

We know that Web Technology is evolving continuously day by day which helps media creators in marketing and distribution of media content. Even though these technologies help the creator and the users, it will also have a high chance of increasing pirated contents distribution and redistribution. As people have so many different ways to share and distribute the web content like Free Cloud Spaces , Social Networking Portals, Email, Drives, Chats etc., so finding or detecting these contents manually is a difficult and time consuming task. We can make use of concepts like ML and AI to fight piracy by using content monitoring solutions. In this paper, it have been explained that how we can use the different techniques of DM, AI and ML to search the web contents and identify piracy threats which must be managed in and efficient way. Using different web services and the concept of machine learning, the system will produce data of the searched contents of media with various information like IP Addresses, source of piracy, time, region, period etc. Also the system is going to store or find out the blacklisted and untrusted websites and webpages which in turn can be used by different Private Organizations or Government Agencies to get rid of the Piracy.
APPLICATION OF INFORMATION SYSTEMS FOR TRANSACTION REPORTS BADAN KESWADAYAAN MASYARAKAT SEJAHTERA CASE STUDY SUMBEREJO KENDAL VILLAGE

Abstract&#x0D; BKM Sejahtera is a collective leadership institution from a community association in the village of Sumberejo which has the role of mobilizing the potential and resources of the community in an effort to overcome various development issues in the village / village area. BKM Sejahtera still has many obstacles in its operations including the process of making reports and transactions - transactions that occur are still done conventionally, namely the making of reports still using Microsoft Excel as a recording of existing transactions but it is less effective because it requires a relatively long time in presenting reports finance, especially savings and loans and as a storage method, are relatively inefficient because they do not use databases so that they require a large space and difficulties in finding data. The risk of errors in the transaction process and the making of a savings and loan report are relatively high because the data written in the transaction book is sometimes not the same as the data inputted in Microsoft Excel. To overcome the above problems, an Information System Application will be made to the Prosperous Community Self-Help Agency Using the Accrual Basis Method. This application will produce financial reports per period, loan transaction reports, installment transaction reports, savings and loan transaction reports and withdrawal transaction reports. This application is made using a programming language that is PHP for the application interface and MySQL for database processing software. With this application can facilitate transactions and also can facilitate in getting financial reports quickly and have a database as a safe storage medium.
A scalable fine-grained analytic model for container cloud data centres

Although cloud service providers have deployed numerous large-scale cloud data centres world-wide, research in performance modelling for cloud data centres are still in its infancy. A precise model of a cloud data centre can help the service providers improve their service quality, capacity planning, load balance and reduce operation costs. Most studies in literature focused on modelling hypervisor based cloud, typically IaaS. With the growing popularity of containers in cloud service providers; there is a need to develop performance models specifically for these systems. In this paper, a novel cloud analytic model (CAM) for container-based cloud data centre was proposed. The interactive stochastic models are used to analyse the performance of the system in terms of mean job delay and probability of job rejection. Finally, a container emulation framework, ConSim, was developed and tested against the analytic model. Experimental development using real data were compared with theoretical calculation.