Reviewerly/exHarmony huggingface dataset:
How to Analyze Communication Data from Laboratory Experiments Without Being a Machine Learning Specialist

Recently, the analysis of communication has gained attention in experimental research. One important question is whether certain types of communication affect decisions differently than others. In this regard, Houser &amp; Xiao (2011) present an approach for the classification of natural language messages. The primary limitation of their approach is its limited applicability to large message datasets. Therefore, Penczynski (2019) extends the methodological instruments by applying a machine learning classifier to experimental communication data. This is accompanied by the problem of a dearth of machine learning knowledge among experimenters. Hence, this paper presents an approach that employs a publicly available machine learning text analysis application. This makes it possible to analyze larger datasets based on small training datasets classified beforehand by human evaluators. As a first step, I use primary communication data reported by Charness and Dufwenberg (2006) to generate both training and test datasets. Following this approach, I am able to substantially replicate the original classification results obtained by Charness and Dufwenberg. The second step again involves messages from Charness and Dufwenberg as training data, while I take messages from a related trust game published by Deck et al. (2013) as a test, dataset. Promisingly, I am also able to replicate the classification results obtained by the external evaluators, as reported by Deck et al. The findings suggest that machine learning can be used to analyze large message datasets, both if the artificial intelligence is trained with data from the very same experiment and if it is trained with message data from a comparable experiment.
Student Snapshot: Ana-Elena Karlova ’21

Ana-Elena Karlova ’21 (economics, art history) hopes to improve lives through the power of socially conscious economic policy. To that end, she served a high-impact internship at the Ministry of Economy of the Republic of Bulgaria, and she’s researching the effect of microcredit on domestic violence in Ghana.
Students' Perceptions towards Learning English on Earthquake Mitigation Education through Animation Video

This study purposed to improve students' soft skills, knowledge and interest in learning English through animation videos of earthquake mitigation learning. Then the significances of this study were to improve learning interest-based on students' skill in organizing material and method into the game gradually by manipulating causes of earthquake, picture, and object into the text. The methods used in this research is a combination of conventional lecturing and games; also, several selected animation videos about earthquake mitigation. The sample of this research is 45 students who come from several tribes in Papua, but they study and live together at the boarding school in SMTK GGRIP Merauke. The result of this research was most of the students have good ability in catching the material of learning fast and proactive also, good intention to participate in learning English actively by simulating causes of the earthquake, picture, and object into a text. They were confident to answer quiz both individual or in a group session. It can be concluded that the students can improve their skills, especially for English and teacher can use this alternative model to encourage students in learning English through many things around them in Papua.
RESEARCH ON MENTAL STATES OF ANXIETY OF FIRST-YEAR CADETS OF THE UNIVERSITY OF LIFE SAFETY

The purpose is to examine psychological structure, variables and correlation of the factors of mental states of anxiety of cadets. Adaptation of first-year cadets of the University of Life Safety plays a key role in the formation and development of a future specialist – a rescue worker. The methodology is based on the understanding of anxiety in two dimensions: psychological and physiological. The research results allow the administration of a higher education institution to understand psychological content parameters of mental state of anxiety of first-year cadets and operationalize the process of their adaptation. “Expressive-emotional anxiety” (44.04%), related to “content anxiety” (rs=-.177; p≤.01) and “distant anxiety” (rs=.164; p ≤ .01) are main factors in the structure of cadets’ mental states of anxiety. Mental states of anxiety affect the level and quality of a cadet’s knowledge. The obtained results can be useful for managers of educational process, directors and teaching staff of higher education institutions of life safety and also for researchers in psychology of anxiety.
Implementation of Steganography Image System on Android Using LSB Embedding Method

Steganography implementation in digital security is still used today as an effort to maintain data security. Least Significant Bit is implemented on the android device as an important aspect of digital security application and for easier use of the method. Least Significant Bit is dependent on the size of the image, pixel composition, and file size to maintain the data embedded into each last bit of the pixel. The idea of this research is to build the implementation of Least Significant Bit using Steganography Image System on the Android Platform. Thus, in this, every research aspect of the stego image is tested to check whether the image could maintain its embedded data through various ways of direct cybersecurity attack while measuring the quality of stego image with the cover image by using Java Language, which extremely simple and powerful high-level programming language. From six samples with different resolutions, vary from 120px width to 184px, the stego image was tested by inserting 16 string characters into the cover image. The Least Significant Bit is able to embed the string characters into cover image successfully without making any changes that perceivable by human eyes. The PSNR method is used to verify the digital image properties from the prepared sample. The result shows that the average value of PSNR of 120px to 184px width stego image is 20 dB.
SEO web-resource strategy development

A set of measures has been proposed to increase positions of the Web-resource in Google Search Engine. The introduction of the step-by-step SEO optimization has been demonstrated using the specific example of the current website of a structural unit of a higher education institution, with the analysis of the effectiveness of SEO-works performed. The results of the conducted comparative SEO-analysis of the Department’s website before and after the carried out SEO optimization have been presented. There have been taken into account indicators such as the web-page download speed, traffic, referral links, etc. The general part of transitions to the website increased due to the expansion of functionality. The results obtained during the study performed will contribute to solving specific practical problems of increasing the ranking of websites in the list of search engines and will be useful for those who plan to carry out activities to promote the website in outputs of search engines.
한국어 화행 연구 동향 분석 : 국내 학위 논문을 중심으로

The aim of this study is to analyze the research trend of speech acts in Korean language. This study targets 371 master's and doctoral dissertations published from 1985 to 2020. These papers are analyzed according to the year of publication, type of paper, type of speech act, research topic, subject of research, and data collection method. As a result of the analysis, research related to speech acts in Korean have been diversified in terms of topics, subjects of research, and data collection methods along with a quantitative increase. However, three directions are proposed for the development of the study of speech acts in Korean language. First, subjects of research need to be diversified in terms of their learning environment and proficiency. Second, in order to analyze the actual use of language, it is required to collect data close to actual conversation. Lastly, longitudinal studies are needed to research Korean language learners' development or acquisition of Korean language.
Золотая минерализация штокового рудного поля (Магаданская область)

The authors briefly characterize the geology and structure of the Shtokovoye ore field attached to the area where the Khurchan-Orotukan zone of tectonic-magmatic activation overlays the structures of the Yana-Kolyma ore-bearing belt. Studied are mineral associations and physicochemical conditions of gold ore bodies, located both in granites and in hornfelsed sedimentary masses. By the main features of its geological structure, ore composition, and physicochemical formation conditions, the Shtokovoye ore field mineralization corresponds to the "depth" group of the gold-rare-metal formation, analogous to the Butarnoye, Basugunyinskiye, Dubach, and Nadezhda occurrences. Its ores are peculiar in the late epithermal mineralization, which is associated with the Okhotsk-Chukotka volcanic belt and overlays the sinaccretional gold-rare-metal mineralization.
Comment on "Statistical Modeling: The Two Cultures" by Leo Breiman

Motivated by Breiman's rousing 2001 paper on the "two cultures" in statistics, we consider the role that different modeling approaches play in causal inference.We discuss the relationship between model complexity and causal (mis)interpretation, the relative merits of plug-in versus targeted estimation, issues that arise in tuning flexible estimators of causal effects, and some outstanding cultural divisions in causal inference.
Metodología para la evaluación de recursos digitales bibliográficos: experiencia del G8Bibliotecas, Antioquia.

This article describes the collaborative experience of G8 Library Group of Medellin City in theelaboration of the Technical Matrix for the assessment of Bibliographic Databases and digitalresources. Its purpose is serving as a reference to other institutions of the same nature. It ishighlighted the importance of having a permanent and systematic evaluation too for decisionmaking regarding the subscription or purchasing of digital resources, bibliographic databases,discoverers and statistical software. The Matrix categories and its reference value are establishedon 100 points: Search (20), Access (15), Utilities and tools (15), Administration module (10) andInterface (5). In turn, factors and categories with their respective assigned scores are derived fromthese categories, to later assign the grade and finally obtain the total score for the bibliographicdatabase. Likewise, qualitative information of the evaluation is included. This provides anexecutive summary of the evaluation with decisive information in the decision making processabout bibliographic databases in libraries.
해군력 발전의 중장기 영향요인과 정책방향

This paper defines the advancement of Naval Power as acquiring deterrents to threats, and suggests two policies for the advancement of Korea Naval Power applicable in the period of F+1~F+15. Korea Navy is certain to face an incompatible demands for both quality and quantity of platforms in that period due to three mid-term factors, -the ranking of national power and the level of policy alignment among nations in Northeast Asia, three different sorts of threats, and tendency of weapon senility. Under the constraints of budget, two policy options appear imperative to retain deterrent power. Firstly, Navy should focus on “A Few Good Ships” by enhancing the combat capability of platforms to the level of CEC(Cooperative Engagement Capability), required to conduct operations in the environment of new threats such as supersonic anti-ship missiles. Secondly, Navy should reinforce interoperability with maritime police in order to meet demands for more warship countering the swamped threats of non-military and paramilitary at sea.
Software engineering based secured E-payment system

Nowadays, the E-payment systems have been considered to be the safe way of money transfer in most of modern institutes and companies. Moreover, the security is important side of these systems to ensure that the money transfer is done safely. Software engineering techniques are used for guaranteeing the applying of security and privacy of such systems. In this paper, a secure E-payment system is proposed based on software engineering model and neural network technology. This system uses different proposed algorithms for applying authentication to the devices of users as mobile application. They are used to control the key management in the system. It uses the neural network back-propagation method for ensuring the security of generated keys that have sufficient random levels. The proposed system is tested over numerous cases and the obtained results show an efficient performance in terms of security and money transfer. Moreover, the generated keys are tested according to NIST standards.
Characterization of persons deprived of liberty (PDLs) at Santiago City District Jail-Female Dorm, Santiago City, Isabela

Republic Act 6975 was enacted and was known as the DILG Act of 1990. Under this agency, the tri-bureaus were created: the Philippine National Police, The Bureau of Fire Protection and the Bureau of Jail Management and Penology under the Department of the Interior and Local Government. Under the BJMP are jails efficiently manned by professionals, qualified, trained and committed jail personnel all over the country. In the Province of Isabela, there are district jails created and one of which is located in Santiago City-the female dorm that caters solely for female offenders. The jail is manned by a lady officer and having lady jail officer. A total of fifty five (55) PDLs were used as respondents of the study representing 100 percent of its total population. This study was limited on the characterization of PDLs committed at the Santiago City District Jail-(female dorm), in Santiago City, Isabela. The researcher made used of a questionnaire to gather the needed data from the respondents. Interview was also conducted in order to verify some vague answers on the questionnaire. Based from the findings of the study on age, most of the respondents are young with an age brackets of 28–37 years old, all are fe males, majority are single, Roman Catholic, reached/finished high school, not employed, committed crimes against special laws and were arraigned, attended 1–5 times court hearings, been in jail for 2 years 1 day to 3 years and most claimed that they were alleged suspects of the crimes charged against them. It can be concluded that majority of the respondents’ profile are similar but differs on the circumstances and reasons that led to the commission of the crimes as presented on the data gathered.
Suitability of Electronic Health Record Data for Computational Phenotyping of Diabetes Mellitus at Nairobi Hospital, Nairobi City County, Kenya

This research aims to determine the applicability of routine healthcare in clinical informatics research. One of the key areas of research in precision medicine is computational phenotyping from longitudinal Electronic Health Record (EHR) data. The objective of this research was to determine how the interplay of EHR software design, the use of a data dictionary, the process of data collection, and the training and motivation of the human resource involved in the collection and entry of data into the EHR affect the quality of EHR data thus the suitability of such data for utility in computational phenotyping of diabetes mellitus. This research employed a prospective/retrospective study design at the diabetes clinic in Nairobi Hospital. The first source of data was from interviews with 32 staff; nurses, doctors, and health record officers using a referenced peer-reviewed usability questionnaire. Thereafter, a sample of EHR data collected during routine care between January 2012 and December 2016 was also analyzed by looking into the quality of clusters identified in the data using a density-based clustering algorithm and Statistical Package for Social Sciences (SPSS) version 21. Regression analysis shows that software design and the utility of a data dictionary explained 50.7% and 32.3% respectively in the improvement of the suitability of EHR data for computational phenotyping of diabetes mellitus. Also, EHR software was rated useful (82%) in accomplishing users’ daily tasks. However, EHR data were found to be unsuitable for utility in computational phenotyping of diabetes. Despite the fact that 88% of EHR data were clustered as noise, the clustering algorithm identified a total of 23 clusters from the diabetes dataset. However, with improved quality of EHR data, sub-phenotyping tasks would be achievable. This research concludes that the poor quality of EHR data is a result of employees’ unmet intrinsic factors of motivation.
LibGuides: So You Want to Be a Writer?: Teen Writing Guide: Writing at the Library

A writing guide for teens aimed at writers of any skill level, from those who are just getting started on their writing journey to those who have been writing for some time.
Image retrieval based on swarm intelligence

To keep pace with the development of modern technology in this information technology era, and the immense image databases, whether personal or commercial, are increasing, is requiring the management of these databases to strong and accurate systems to retrieve images with high efficiency. Because of the swarm intelligence algorithms are great importance in solving difficult problems and obtaining the best solutions. Here in this research, a proposed system is designed to retrieve color images based on swarm intelligence algorithms. Where the algorithm of the ant colony optimization (ACOM) and the intelligent water drop (IWDM) was used to improve the system's work by conducting the clustering process in these two methods on the features extracted by annular color moment method (ACM) to obtain clustered data, the amount of similarity between them and the query image, is calculated to retrieve images from the database, efficiently and in a short time. In addition, improving the work of these two methods by hybridizing them with fuzzy method, fuzzy gath geva clustering algorithm (FGCA) and obtaining two new high efficiency hybrid algorithms fuzzy ant colony optimization method (FACOM) and fuzzy intelligent water drop method (FIWDM) by retrieving images whose performance values are calculated by calculating the values of precision, recall and the f-measure. It proved its efficiency by comparing it with fuzzy method, FGCA and by methods of swarm intelligence without hybridization, and its work was excellent.
The EFFECTIVENESS OF SMALL GROUP DISCUSSION IN TEACHING READING COMPREHENSION OF NARRATIVE TEXT AT X GRADE IN SMAN 1 WOLOWAE

The present study aims at exams the effectiveness of small group discusssion in teaching reading comprehension of narrative text of the tenth -grade students of SMA NEGERI 1 WOLOWAE. Teaching reading comprehension is recommended in Senior High School because reading comprehension is very important. In competence based on curriculum, students are understanding to comprehending the conten of the text.&#x0D; The research is carried out through quantitative research with an experimental method because the researcher gives treatment in teaching writing. In conducting the research, the researcher uses one group pre-test-post-test design. The researcher gave pre-test before treatment and post-test after treatment to get the data. In this research, the researcher took twenty students as a sample.&#x0D; The result of the study shows that the score of pre-test was 61 while the mean score of post-test was 81.5 and the mean score of differentiate was 20.5. On the other side, it was found that the result of t-score is bigger than t-table (9,71 &gt; 2,11) at the significant level of 0,05. Therefore, based on the hypothesis testing, we can conclude that the Alternative Hypothesis (Ha) is accepted while the Null Hypothesis (Ho) is rejected.&#x0D; Based on the result, it can be concluded that the using small group discussion as a method is effective to increase students reading comprehension of the students’ of Senior High School, especially for the tenth grade of SMA NEGERI 1 WOLOWAE. Based on this findings, it is suggested, that the teacher should try to apply an interesting method.
STUDY ON SATISFACTION LEVEL IMPLEMENTATION OF E-LEARNING AS SUPPORTING MEDIA LEARNING THE ACADEMY AVIATOR INDONESIA BANYUWANGI

Good quality education is one key to the progress of civilization and improvement of living standard of a nation. In order to achieve a good quality of education needed an integrated learning process by using different methods of learning and innovation that allows a continuous learning not limited by space and time. Teaching and learning activities between teachers and students with the conventional method through face to face that had been applied to the weakness of the method of learning with face-to- face methods in Indonesian Civil Pilot Academy can be minimized by providing learning facilities online or e-learning which can be accessed by all students at any and anywhere as long as connected to the internet. The scope of the problem under study is how to design and implement e-learning Indonesian Civil Pilot Academy The purpose of this research is the availability of e-learning application of Indonesian Civil Pilot Academy, while the expected benefits of this research is the ease for students in conducting learning activities without time and space is limited, while the objective of this study was teachers and Indonesian Civil Pilot Academy. The method used in this work is the method of library practice, observation, interviews, analysis, design and pilot projects. With the application of e-learning co- produced learning facilities outside learning with face to face methods.
Penerapan Algoritma Elias Delta Code Untuk Kompresi File Video Pada Aplikasi Video Downloader

The development of communication media in today's era is very rapid, especially the part of communication media in the form of an application that functions to download a file. one of them is the Video Downloader application which is an application software that functions to download a video file or an audio file. However, there were several problems that were found when the download was finished, especially the download results from the video file. Where, the required video file must have the right resolution and have good quality. However, the problem is the capacity for the required resolution has a large enough capacity for the storage memory that has been provided. Therefore, file compression is required, where this compression must be done using an appropriate algorithm such as using the Elias Delta Code algorithm, where the Elias Delta Code algorithm helps the work process by compressing the size of the video file without reducing the quality of the video. by using Eclipse Juno.
Flipping the Third Space

&#x0D; &#x0D; &#x0D; Our school faced a particular problem. As in many other schools, teachers and students are increasingly mobile savvy and internet connected while at school. This affects how teaching is done and how libraries are used. In response proposed to bring the Library to the classrooms. We would move the existing library, from its own building, to share the center of the action, into learning spaces once occupied only by classrooms. While the digital integration had already begun, the physical integration would serve both the traditional and new ways in which libraries can be used. We propose that both library and classroom practices will be “flipped” so that putting ideas and information into action and thinking about what you have learnt will become the focus, using the new library to extend and enrich that practice. This paper will report on the practical implications and experiences of such an undertaking. In addition, the paper will outline some of the research concerning how the elements of the learning process are distributed across the day.&#x0D; &#x0D; &#x0D;