Reviewerly/exHarmony huggingface dataset:
Evaluation of Criteria2Query: Towards Augmented Intelligence for Cohort Identification

Electronic healthcare records data promises to improve the efficiency of patient eligibility screening, which is an important factor in the success of clinical trials and observational studies. To bridge the sociotechnical gap in cohort identification by end-users, who are clinicians or researchers unfamiliar with underlying EHR databases, we previously developed a natural language query interface named Criteria2Query (C2Q) that automatically transforms free-text eligibility criteria to executable database queries. In this study, we present a comprehensive evaluation of C2Q to generate more actionable insights to inform the design and evaluation of future natural language user interfaces for clinical databases, towards the realization of Augmented Intelligence (AI) for clinical cohort definition via e-screening.
IMPLEMENTATION OF METRICS ON SOFTWARE DEVELOPMENT IN THE PROVINCIAL ADMINISTRATION SYSTEMS

Metrics in software development projects related to the effort and thought required to complete the project and the resources used. The methodology applied, for example, the time needed to complete, experts required, costs incurred, and methods used in software development. This research is an observational study to implement the theory of software metrics in a software development project. The expected result is a guide used to calculate the number of human resources needed in software development, which is calculated in units of person-hours. According to the analysis above, software estimation is used to forecast the resources and costs necessary to complete a software development project the integrity of the new software estimation results. To obtain the most precise estimate, to study and calibrate the estimation formulation constant is necessary to light the current software development project's conditions
A Study on EES Validation Using CNN

There is a function that describing the severity of vehicle’s accident by (changes of speed in the center of gravity of vehicle, km/h), impact point of the collision vehicle, the impacted point, and EES(Energy Equivalent Speed, km/h) using depth of impacted vehicle and the energy loss of the vehicle. CNN(Convolutional Neural Networks) is mainly used in Deep-learning to process image or video data. Convolution is a Neural Network model before preprocessing task. In PC-Crash V 13.0 has a EES-CNN function using EES and CNN. When user inputs image file of damaged vehicle, EES-CNN shows predicted  with a bar graph. To utilize this EES-CNN function in real accident-analysis, it has to be verified or needs improvements. In this study, after collecting images from NHTSA NASS-CDS in frontal collision condition, then verified if predicted data matches to Δυ data from NASS. Furthermore we analyzed property of pictures and presented a method of taking a picture for EES-CNN function to get higher accuracy.
Problems and Countermeasures of Education Management in Changzhou Liuguojun Higher Vocational and Technical College from the Perspective of Motivation Theory

At present, higher vocational education is facing various problems and deficiencies. One of the most significant problems is that the learning motivation of higher vocational school students is lacking, and they are uncertain about personal life choices and career planning, which leads to a gap in the relationship between learning and personal development as well as a lack of motivation in their learning behavior. As a result, the quality of higher vocational education is affected. The application of motivation theory in higher vocational education management can solve these issues. This study mainly analyzes and investigates the connotation and function of motivation theory, the significance of applying motivation theory in higher vocational education management, the existing challenges, and the implementation path, in hope to explore a new path for the application of motivation theory in higher vocational education management.
Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks

Bidirectional recurrent neural networks (RNN) improved performance of various natural language processing tasks and recently have been used for diagnosis prediction. Advantages of general bidirectional RNN, however, are not readily applied to diagnosis prediction task. In this study, we present a simple way to efficiently apply bidirectional RNN for diagnosis prediction without using any additional networks or parameters.
MINING FREQUENT PATTERNS AND ASSOCIATION RULES USING SIMILARITIES

Because of the intensive usage of database systems, the university library has gathered a mass-circulation historical data. We employed data mining algorithms to reveal useful information in the investigation of circulation data. The book recommender system described in this work provides clients with book recommendations based on an apriori algorithm and association rules applied to transactional data. A web application is introduced and used to provide readers with recommendation information. Bookstores, information retrieval systems, and network reference databases can all benefit from the recommendation model. KEYWORDS: Recommendation system, Apriori algorithm, association rule.
Upaya TBM Kuncup Mekar Dalam Membangun Budaya Literasi Masyarakat Pesisir dan Pedesaan di Gunung Kidul, Yogyakarta

Building a society that is literate to information in rural coastal areas is a challenge for information activists. The lack of access to information such as reading materials and low awareness of the importance of knowledge are often obstacles. This study examines the efforts of the Kuncup Mekar Community Reading Park (TBM) in the village of Kepek Gunungkidul Yogyakarta in building information literacy for people living in coastal and rural areas through the One Home One Library program, so that it has an impact on improving the quality of education and the economy. The author uses qualitative methods with data collection techniques through interviews, observation and documentation. Informants were selected through a purposive technique, namely people who are considered very instrumental and understand the One Home One Library program. Based on the data obtained, TBM Kuncup Mekar conducted the One Home One Library program through 5 (five) stages, namely socialization, preparing bookshelves in each house, distributing books, making book control tools, and arranging book lending schedules. The One Home One Library program has been able to instill public information literacy skills which have an impact on the education and economic aspects of the community. The impact of information literacy skills include; increasing children's interest in reading and learning, the emergence of parents' desire to provide access to learning and information for their children, as well as increasing community understanding in agricultural and livestock cultivation.
Penerapan Metode Pencatatan Perpetual Pada Sistem Informasi Kasir Penjualan dan Pencatatan Barang

OTA shoe store is a shoe shop that sells local Indonesian shoes. But this shoe shop still carries out a sales system that is still very simple and inefficient, including transaction processing, recording shoe stock, and in making sales reports. This is the author's reference in designing a sales information system at the OTA Shoe Store. This system is designed using Sublime Text software with HTML, CSS, and PHP as the programming language, while for the database it uses MySQL. The design of this system is assisted by the Waterfall design method. The purpose or intent of this research is to design a cashier information system that can assist cashiers in processing transactions and can provide information to cashiers about the stock of shoes available in the warehouse. This information system can also help cashiers as admins in recording stock of goods based on the perpetual method of recording goods and can also make sales reports to be given to shop owners.
Opening the Black Box of Deep Learning: Some Lessons and Take-aways

Deep learning has rapidly come to dominate AI and machine learning in the past decade. These successes have come despite deep learning largely being a "black box." A small subdiscipline has grown up trying to derive better understanding of the underlying mathematical properties. Via a tour d'horizon of recent theoretical analyses of deep learning in some concrete settings, we illustrate how the black box view can miss out on (or even be wrong about) special phenomena going on during training. These phenomena are also not captured by the training objective. We argue that understanding such phenomena via mathematical understanding will be crucial for enabling the full range of future applications.
Lexical Density and Readability of the Facil’s ‘Advanced Learning Textbook’ for Indonesian High School Students

This article discusses the lexical density and readability levels in Facil's 'Advanced Learning English textbook for high school students in grade XI. The documents of this study were 11 reading texts selected from each chapter in the 'Advanced Learning English 2' textbook. This study's objectives are to (1) determine the average lexical density of selected reading passages from English textbooks and (2) determine the next level of this book and whether it is appropriate for high school students class XI. Grounded on Ure’s (1971) text analysis, the researchers analyzed the lexical density of the reading text. Meanwhile, to determine readability level, Flesch’s (1994) reading ease scale formula was utilized. After carefully analyzing the data, it was discovered that almost all texts had a high lexical density. The average reading text in this book has a higher lexical density level than 40%. Additionally, eleven reading texts are classified into five levels based on the Flesch reading ease formula's results: easy for one text, fairly easy for three texts, and difficult for four texts. For two texts, the difficulty level is standard; for three texts, the difficulty level is fairly difficult; and for two, the difficulty level is difficult. Therefore, reading texts in this book is considered appropriate for high school students’ learning process because each text has a different and gradual difficulty level.
Penerapan Metode Quota Based Pada Sistem Informasi Monitoring Pendistribusian Bantuan Sapi Berbasis Website

Cattle is one of the most livestock products in Indonesia, therefore to increase the yield of Indonesian livestock, the government has created a cattle assistance program that can help local breeders in improving the quality and commodities, especially cows, the priority of the program is local cattle to be able to compete. with other imported cattle. With this program, an application is made that can help realize the program. The application that is made is the Information System for Monitoring the Distribution of Cattle Aid where this application is devoted to monitoring all aspects related to distribution. The Information System for Monitoring the Distribution of Cattle Aid can support government programs according to the specified target. Because this government program is aid, this application will be able to accumulate distribution results so that it can be evenly distributed according to the data of prospective recipients that have been set and algorithms that help in running it. This application is a first fit algorithm that can assist in inputting and determining memory locations that can be used to accommodate and minimize fragmentation. The Cattle Assistance Distribution Monitoring Information System assists users in checking data efficiently in terms of timeliness and data accuracy. This study aims to understand the flow and use of information systems in the monitoring and distribution section, the method used to design and create an Information System application for Monitoring the Distribution of Cattle Aid is by observation and document study. The application of this information system monitoring the distribution of cattle assistance has had a good impact on the development of livestock, coupled withsophistication technological and assisted farmers in increasing input and development of livestock in the distribution sector.
Web-Games As A Tool For Teaching Maths At University

The paper dwells on the effectiveness of using computer games in learning.A review of current research on gamification in education, one of the most actively developing approaches, which is widely used in pre-school and school education, as well as at universities and for adult learning, is carried out.The authors also continue their research on the effectiveness of gamification methods in learning, using a specially designed web game as an example.The web application is used to practice the study of numerical series for convergence property and to control knowledge of numerical series.The positive impact of the web game 'Convergence of Numerical Series' on learning is noted.As a result of the experiment, where 68 technical students participated, an increase of more than 11% in the number of students showing a high level of mastering the material is observed.In addition, the students participating in the experiment show increase motivation and engagement in the educational environment.However, it is necessary to keep in mind the proper integration of games in education, not to get carried away too much so as not to 'play too much'.Learning games should generate further reflection and activities outside the computer.To make learning games in mathematics effective, high-quality development of such games using good design elements is necessary; innovative educational solutions that facilitate learning mathematics
Content-procedural provision of methodological preparation of future educators of preschool education institutions

The article reveals the urgency of the problem of methodological training of future educators of preschool institutions in pedagogical colleges; the national scientific achievements on the issue of preparation and formation of professional competence in future educators of preschool institutions are analyzed; the content of methodological support of professional training in the specialty 012 Preschool education is determined; procedural support for the training of preschool education specialists is described; criteria for diagnosing methodical training of students in the pedagogical college are determined: cognitive-informational and operational-activity. The indicators of the criteria are determined: knowledge of modern learning technologies; familiarity with teaching methods and tools; awareness of the experience of creative teachers; ability to constructively develop professional skills; ability to create a developmental environment in a preschool institution; ability to self-development and self-realization. Attention is paid to the description of materials for the study, in particular, a diagnostic and methodological map of the study. The article presents the results of pedagogical research, conducted on the basis of the Pedagogical College and data analysis. Based on the diagnostic tools, criteria have been identified that will help achieve the goal of the study. Qualitative (narrative interview) and quantitative (survey methods) research methods were used: online survey and narrative interview by self-completing Google Forms. The results of the study indicated the need to strengthen methodological information for third-year students. Conclusions of theoretical analysis and results of empirical research of content-procedural support of students of specialty 012 Preschool education are made. Prospects for further research are identified
Palynological Investigation of a Paleocene Outcrop Unit Exposed at Ngodo Area in Afikpo Basin, South-Eastern Nigeria

South-Eastern Nigeria IntroductionThe Benue Trough of Nigeria was formed as a result of series of tectonic and repetitive sedimentation in the Cretaceous time when South American figure separated from Africa.Afikpo Basin is located in the southern Benue Trough, between the Abakaliki Anticlinorium running northeast and the Cameroon line in the southeast.The Afikpo Basin is filled with sedimentary sequences of Campanian -Maastrichtian deposits of shale, sandstone, siltstone and mudstone.The Basin was synchronously formed as the south extension of the Anambra Basin during the folding of the older sediments of the southern Benue Trough in the Santonian period (Murat, 1972) The Afikpo Basin has been studied by a number of renowned geologists and researchers in the past but much work is yet to be done using microfossils.Earlier works were those of Reyment, (1965) that assigned the Afikpo Basin as a syncline.The Afikpo Syncline was until recently accorded a Basin status by few workers, Odigi and Amajor (2009), Odigi, (2012).Odigi and Amajor, (2009) noted that results from regional tectonics and microtectonic analysis of the microfaults at the north central part of the Basin, enabled them to accord the Afikpo Syncline, status of a Basin.Odigi, (2012), studied the conglomeratic formation of the Campanian -Maastrichtian Afikpo Basin, and asserts that after the uplift of the Abakaliki Anticlinorium, making the depressed Afikpo platform a basin for the deposition of the Pre-Santonian and Post-Santonian sediments.Further work recently by Umeji, (2010) assigned the age and paleoenvironment of Afikpo Basin from the study of the Shell Petroleum Development Company's Afikpo-4 well as Campanian -Maastrichtian and the environment of deposition to be near shore and marginal marine based on the palynological study of the well.Okoro et al., (2012) dated the Afikpo Basin to be Campanian -Maastrichtian and depositional environment as open marine environment, using palynological analysis of shale and lignite samples from the Nkporo Formation.
Penerapan Penggunaan Aplikasi Mobile Phone Berbasis Andronid Terkait Profil Silsilah, Dan Pemasaran Sapi Sonok Madura

Sonok cattle are a culture that still exists on the island of Madura, this culture competes for a pair of female cows to walk with a compact step. Sonok cattle breeders are spread over four districts. The problems faced by Sonok cattle breeders in Waru Barat Village are related to genealogies and profiles that have never been documented, this causes detailed information related to pedigrees and profiles to be unclear. In addition, the marketing process is still carried out with limited media so that a lot of information is not conveyed, such as genealogical details and profiles. One of the villages that is a partner and the majority of its residents are sonok cattle breeders is Waru Barat Village, Waru District, Pamekasan Regency. The service method is a survey that takes samples from a certain time from a population and uses basic data interview techniques. After that, a trial was carried out and some analysis of the application of pedigree, profile, and market applications on Sonok cattle activists, it can be seen that sonok cattle culture activists are greatly facilitated by all the features in the application, pedigree and profile data can be seen through the application so that during sales transactions they can be assured. buyer. From the results of the calculation of the System Usability Scale (SUS) questionnaire filled in by the sonok cow culture activists, the average value is 82. The age of the breeder is 51-60 years (40%) with livestock experience 21-30 years (30%) and the number of maintenance is 2 tail (40%) and ST level 2.25-3 (60%). The results of the analysis show a very good assessment of SUS for Sonok cattle breeders
TWITTER ACCOUNT PREDICTION USING MACHINE LEARNING

Today’s society is facing numerous cyber security related problems. In advancement of machine learning, C4.5 decision tree algorithm is applied in existing system to predict fake and clone profile in social media. It addresses cyber security needs, but it predicts clone profiles only using blank profile information. So, it achieves only 50-60 percent of accuracy, since most of the fake profiles cannot be detected using this system. Hence system has to be proposed for predicting clone profiles efficiently. This task proposes Random Forest algorithm along with Decision tree algorithm, which efficiently finds fake profile using rule based, attribute-based similarity feature, network-based feature. The system is aimed to achieve more than 80% of accuracy. Cloned profiles can also be detected using their comments and activities performed in social media. This is predicted using RF, and NN algorithm.
Penerapan Network Development Life Cycle (NDLC) Dalam Pengembangan Jaringan Komputer Pada Badan Pengelolaan Keuangan dan Aset Daerah (BPKAD) Provinsi NTB

Information technology in recent years has become an absolute necessity, for all levels of society, especially the government, to support the exchange of information that is fast, easy, accountable, and has good service. BPKAD is one of the SKPDs in the NTB Province Government in charge of managing regional finances and assets that already have a computer network that mostly implements wireless-based applications, which are less than optimal for internet connections and information exchange so that they are not optimal in public services. Based on these problems, the researchers designed a computer network infrastructure that can be integrated between buildings at the BPKAD Office and other SKPD in the NTB province government. The design results presented can be used as considerations in order to support the development of e-government implementation. The network model used is the NDLC hierarchy and methodology. With a computer network, it can minimize connection constraints and be more optimal in bandwidth management, install filtering firewalls, limit users with negative content.Keyword: BPKAD; SKPD; E-Gorverment; NDLC; Bandwidth
Development of a Tourist Information Search Support System that Reflects Interests Based on User's Gaze

In 2014, Tobii Tech and Eye Tribe released the first inexpensive non-contact eye tracking device, and eye tracking technology has been attracting more and more attention. It has long been said that gaze information can be used to infer a person's interests and attention, and the analysis of gaze position by eye tracking technology is also used for Search Engine Optimization (SEO). In addition, with the spread of information and communication technology, the Internet has become the most used media for "obtaining information on hobbies and entertainment," surpassing books, magazines, and television for all age groups except those in their 60s in Japan, The majority of information gathering has shifted to web browsing. As a result, the information gap between those who can use the Internet to collect information and those who cannot use it well, so-called digital divide, has become one of the social problems. Based on these background, we attempted to develop an interaction system that presents search keyword to get related information by using the user's eyes while browsing the web. Based on analysis of user's gaze and accumulation of web pages viewed by each user, this system can provide search keywords that reflect a user's interest, such as Tourism information or history information. We believe that this system can support users' web browsing by assisting them in gathering information on sightseeing and travel, presenting them with unexpected facilities that they did not know about, and making it easy for them to obtain a variety of related information.