Reviewerly/exHarmony huggingface dataset:
THE EFFECTIVENESS OF USING KAHOOT! AS A MEDIA TO IMPROVE STUDENTS' READING COMPREHENSION IN NARRATIVE TEXT

The researcher's intention in doing this research was to know if there is a substantial difference in the comprehension of students reading in a narrative text after treatment with Kahoot! as a platform for 10th graders at one of the Senior High Schools in Lamongan. The method used was quasi-experimental pretest-posttest research design. There were two classes of this research, and they are X Social 1 as experimental class which has 20 students and X Social 2 as control class which also has 20 students. The teaching process done in control class was using textbook as a media, while in experimental class was using Kahoot!. The research instrument used was a reading comprehension test. The researcher utilized Paired Sample T-test in SPSS 26 to analyze the results. It shows that the significant value was .000, which was less than the significant level 0.05. Therefore, this indicated that there was difference between the pre-test and post-test score of students. Then, to show the specific significant value of experimental treatment, the researcher calculate the effect size which value was 0.9 which means the treatments given successfully gave moderate effect to the experimental class. It can be concluded that the use of Kahoot ! as a media for tenth graders of one of Senior High Schools in Lamongan influences their score in reading comprehension in narrative text. Keywords: Kahoot!, Media, Reading Comprehension, Narrative Text.
Survey of Chatbot Applications

Chatbot a computer application designed to imitate conversation with human users, especially over the internet. Chatbots, or conversational interfaces as they are also known, present a new way for individuals to interact with computer systems. Traditionally, to get a question answered by a software program involved using a search engine, or filling out a form. A chatbot allows a user to simply ask questions in the same manner that they would address a human.  Example, resolving customer queries: Answering questions is helpful but a chatbot is not that useful if it cannot complete transactions. For example, if customers frequently call to check the delivery time of their package, it makes sense to let the chatbot handle those questions, answering frequently asked questions, and recommending new offers: Recommending the right products to the customer based on her verbal feedback. The most well known chatbots currently are voice chatbots: Alexa and Siri. However, chatbots are currently being adopted at a high rate on computer chat platforms.
Spatial-Temporal Metrics to Assess Collective Behavior in Football: A Systematic Review and Assessment of Research Quality and Applicability

Extensive research has been conducted to investigate collective behavior of football players using spatial-temporal data. The purpose of this systematic review was to synthesize and evaluate the applicability of this research by reviewing information presented in previous studies and its capacity to clearly describe the analysis approaches and practical applications of findings. 85 studies were included in the review with approaches assigned to 4 categories of metrics (1: Spaces; 2: Distances; 3: Position; 4: Numerical relations) and 2 analysis methods (1: Predictability 2: Synchronization). The review identified that authors descriptions of metrics generally focused on operationalized definitions and provided limited translation to game scenarios or coaching strategies. Similarly, a substantive percentage of studies (22%) did provide any practical applications, and where these were provided, they were generally broad and provided limited actionable information that could be used directly by practitioners to inform training. Where specific applications were provided these were consistent with a dynamic systems perspective of collective behavior and focused on organismic, environmental and task constraints that could be manipulated. The findings of the present review highlight the innovative practices of the research base and identify several areas for development to increase understanding and uptake in practice.
BChain-Driven Scalable Approach to Big Data Verification of Db. Applications Processing

In current world data is the key intergradient among all the organizations including IT sectors, academic fields, medical records and list goes on. Every sector deals with one common problem that is the management of such huge data generation that is commonly called as big data [1-2]. With the time data becomes historical as every day, every hour, every minute new data is generated. The main issues are arises when handling of such huge amount of data become an issue, because such data can neither be deleted as it might be useful for the organization nor be kept because it causes no memory space for newly generated data [4]. Hence to solve the issues one trending technology can be helpful that is block chain. Block chain [10-11] can be one of the promising technology which dealt easily with the problem occurred to manage big data, 2 Q’s can be take care while combining these two terms together that is quality and quantity [15]. Quality in terms of efficient management of data so that without degrading the quality of data it can easily be managed without causing any issues with the newly generated data. Quantity in terms of as the name defines itself that is the generation of big data. Every day several organizations produce data in terabytes and zeta bytes. The reason behind using these two technologies together is the ones disadvantage becomes another’s advantage. First one is security, such huge data generation can cause security loops. Maintain security of such big data is really a hazardous task and block chain dealt with security issues [31] quite well. The most important positive feature of block chain is decentralization [17] that means data does not belong to one single person; hence chances of data breaches are going downwards. Second one is flexibility, as big data contains every type of data like structured, unstructured, and semi-structured that include image files, video files, audio files etc. To work upon on various kinds of data at same time and same place again is not at all feasible. Here comes the working of block chain, as there is no limitation on block chain. Block chain [25] can easily worked upon variety of data.As Big Data through block chain analysis is still a relatively young field in the collection of massive datasets recognition and gain on discoveries of certain patterns in the data. Since the certain patterns in the data are tremendously big and difficult data, it cannot be developed through the traditional data processing systems. To facilitate analyze such ever-growing amount of data to argues that block chain analysis should be pleasured as a new type of application for Big Data platforms in particular Map/Reduce,[7-8] to extract and analyze information from the block chain. Since all the information will be stored in the Block chain it will be convenient to access these details. Because critical operational data source of the design of the Block chain technology, users can view historical transactions effortlessly and need to ingest and analyze as part of their analytics.
LibGuides: U.S. Federal Legislative History Library via HeinOnline: Related HeinOnline Blog Posts

Based on the stellar guide created by Lauren Mattiuzzo at HeinOnline. Posts using Women and the Law on the HeinOnline Blog.
Research Guides: Standards and Codes at CU Boulder: Standards for COVID-19

In this guide, you'll find information about standards and codes at CU Boulder and how to find them; standards issuing organizations, including those that provide free access; as well as how to obtain standards not held by the Libraries.
EVALUASI PELAKSANAAN E-LEARNING PADA SISWA KELAS XI SMK PERMATA HARAPAN

This study aims to evaluate the use of e-learning at Permata Harapan Vocational School in terms of context, input, process and results obtained from the application of the use of e-learning. The research model used is CIPP with a mix-method method that combines two methods into one, namely quantitative and qualitative methods in a row so that the results of this research can be better and can be interpreted well. Research at Permata Harapan Vocational School shows the results based on an evaluation using the CIPP evaluation method on 36 class XI students of Permata Harapan Vocational School which are included in the good category and reach a percentage of 85.90%, where the details of each aspect can be seen as follows: starting from the context aspect with an achievement of 85.76%, input aspects 88.24%, process aspects 84.32% and product aspects 85.32% where these results are deepened by the results of qualitative research that are in line. This proves that the use of e-learning at Permata Harapan Vocational School is quite good, although there are still some things that must be added to get better results in the future. Keywords: Evaluation, CIPP, Vocational School, mix method.
Key dependent dynamic S-Boxes on 3D cellular automata for block cipher

Substitution boxes (S-Boxes) are critical components of numerous block ciphers deployed for nonlinear transformation in the cipher process where the nonlinearity provides important protection against linear and differential cryptanalysis. Classical S-Boxes are represented by predefine fixed table structures which are either use for Data Encryption Standard (DES) or Advanced Encryption Standard (AES). Based on cryptanalysis, it does not offer sufficient cipher protections. The S-boxes used in encryption process couldbe chosen to be key-dependent. For secure communication, we need a better design of S-boxes to be used for encryption and decryption. In this paper we proposed key dependent dynamic 3D cellular automata (CA) S-Boxes for block ciphers. Our work is based on the design of AES S-Boxes which are originally in2D presentation. The conceptual framework of the 3D CA S-Boxes is to convert and apply the 3D CA rule to static AES S-Boxes. The methodology is to do conversion from the AES S-Boxes into 3D array of (8x8x4) S-boxes, and then applies the 3D CA Von Neumann rules to them. After a 3D array is obtained from the AES S-Box, the 3D CA is applied based on the round key. The 3D array S-Box are then converted back to the 2D array S-Box and finally it is improved to meet the requirements of good S-Boxes. Theobtained S-Boxes is called key dependent dynamic 3D CA S-Boxes having interesting features with dynamic stretchy arrangement, which is functionally understood by CA. Our proposed 3D CA S-boxes are better in comparison with the AES S-Boxes with predefined fixed table structures. Experimental results shown that the proposed 3D CA S-Boxes have secure characteristics like nonlinearity, SAC, BIC and algebraic degree. The proposed S-Boxes can be implemented in any block cipher for secure communication.
Guides: All About the News: Evaluating News Content

Different kinds of information can be found in news publications. How to tell the difference between facts and opinions and how to to evaluate news articles.
Maintenance of Utilities Communication Equipment. From Normal to Excellence

Excellence is a current focus for developed countries. Utilities, which are one of the critical sectors, need to apply excellence in order to deliver the required results to all their stakeholders. Communication network is a main element for any utility. Maintaining communication network requires additional efforts nowadays, which calls the need of shifting from normal to excellent maintenance. Applying excellent maintenance will ensure the availability and sustainability of the communication network, which will ensure utilities’ continuous operations. This paper aims to highlight the ways to achieve excellence maintenance for communication equipment in the utility sector. The study is based on several challenges and studies done by DEWA (Dubai Electricity and Water Authority) communication engineers during maintenance stage. The study concludes that it is essential to take care about all stages in order to apply excellent maintenance.
“Misc”-Aware Weakly Supervised Aspect Classification

Aspect classification, identifying aspects of text segments, facilitates numerous applications, such as sentiment analysis and review summarization.To alleviate the extensive human effort required by existing aspect classification methods, in this paper, we focus on a weakly supervised setting-the model input only contains domainspecific raw texts and a few seed words per pre-defined aspect.We identify a unique challenge here as to how to classify texts without any pre-defined aspects.The existence of this kind of "misc" aspect text segments is very common in review corpora.It is difficult, even for domain experts, to nominate seed words for the "misc" aspect, which makes existing seed-driven text classification methods not applicable.Therefore, we propose to jointly model pre-defined aspects and the "misc" aspect through a novel framework, ARYA.It enables mutual enhancements between pre-defined aspects and the "misc" aspect via iterative classifier training and seed set updating.Specifically, it trains a classifier for pre-defined aspects and then leverages it to induce the supervision for the "misc" aspect.The prediction results of the "misc" aspect are later utilized to further filter the seed word selections for pre-defined aspects.Experiments in three domains demonstrate the superior performance of our proposed framework, as well as the necessity and importance of properly modeling the "misc" aspect.
Peningkatan Hasil Belajar Ekonomi Melalui Model Pembelajaran Kooperatif Teams Games Tournment (TGT) Siswa Kelas XI IPS 1 Di Madrasah Aliyah Al Falah Baki Sukoharjo Tahun Ajaran 2019/2020

The purpose of this study was to determine whether the application of cooperative learning Teams Games Tournament (TGT) could improve economic learning outcomes in class XI IPS 1 students in Madrasah Aliyah Al Falah Baki Sukoharjo Teaching year 2019/2020. The research carried out is the classroom action research (CAR) method which was carried out during the second cycle, each cycle passed into a four stage of the research, namely: (1) Planning; (2) Implementation; (3) Observation; and (4) Evaluation and Reflections. In this study the research subjects were all students of class XI IPS 1 Madrasah Aliyah Al Falah Baki Sukoharjo Teaching Year 2019/2020. Class XI IPS 1 students containing 21 students with a composition of 15 female students and 6 male students. This research was conducted by collaborating with economics class XI teachers. Data collection techniques using observation, interviews, documentation, and tests. The results of this study that the application of cooperative learning Teams Games Tournament (TGT) showed an increase in learning outcomes in economic subjects can be seen from students who scored more than the minimum completeness criteria (KKM). Can be proven before the action, the percentage of student learning outcomes is only (19.04%), after the first cycle of action the student learning outcomes are seen achieving results (38.09%), and after the cycle II action is taken (85.71%). Based on research, it can be concluded that the Teams Games Tournament (TGT) cooperative learning model in economics can improve the learning outcomes of students of class XI IPS 1 in Madrasah Aliyah AL Falah Baki Sukoharjo Teaching Year 2019/2020.
Review Genre in Pakistani English Newspaper Discourse: A Multidimensional Analysis of Book Reviews and Film Reviews

The current study explores the functional dimensions of the review genre published in Pakistani English newspapers. In this regard, a corpus of the book and the film reviews was compiled by collecting data of 1.1 million words from six English dailies, i.e., Dawn, Newsline, The Daily Pioneer, Pakistan Today, The Pakistan Times, and The Friday Times. The data was analyzed by using the Multidimensional Analysis Tagger (MAT, Nini, 2015). The software is designed on Biber’s (1988) theoretical framework of multidimensional (MD) analysis. Due to some methodological reasons, the study focuses only on the dimension D1, D3, and D5 to understand the cross-register variation in the book reviews and the film reviews. The results show that the Pakistani review genre, quantitatively, scores low on D1 but high on D3 and D5. Statistically, the book reviews were found to have values of -13.11, 5.69, and 1.37 for D1, D3, and D5, respectively. Similarly, the values for D1, D3, and D5 were found to be -12.36, 4.06, and 1.59, respectively. With the help of textual examples, the study delineates the important lexico-grammatical features that load on D1, D3, and D5. The lexico-grammatical patterns analysis reveals that the book reviews have high scores for D3 and D5 due to the frequent use of Verbs, Pronouns, and a low score on D1 due to the occasional use of Private Verbs, That-deletion, and Contractions. Moreover, comparatively, the study shows that the book reviews use more Nouns, Adjectives and long words frequently than the film reviews. It is expected that the findings of the current study will, at theoretical level, help future researchers to understand the functional dimensions of the review genre. The study is expected to enlighten the ESP course developers in designing the empirically informed syllabi at a practical level.
A Study of Key Management Schemes to Transfer Key for Wireless Sensor Networks Using Block Chain Technology

This paper focused on blockchain related schemes for various protection measures. These measures embrace verification, privacy, and access control register (ACR), information and resource attribution, and truthfulness guarantee. All these factors are significant for present disseminated functions, particularly due to huge quantity of information being processed in networks and utilization of cloud computing schemes. Verification guarantees that user who declares. Privacy assures that information cannot be obtained by illegal users. Privacy also offers users capability to manage who can access their information. Attribution permits a proficient tracking of information and resources with rights and usage of network. Truthfulness supports in authenticating that information was not altered. These measures are presently handled by centralized manager. Consequently, centralized controller will be attacked by attacks. Alternatively, blockchain methodology resolves several problems in centralization related with attacks. The main purpose this study is to insights usage of protection measures for present applications, to highlight currently applied technologies to offer these measures, to illustrate their challenges, and converse how key managing approaches applied in blockchain technology. The utilization of blockchain schemes for security measures are also conversed to stimulate advanced research in this methodology.
Rancang Bangun Aplikasi Sion (Sistem Antrean Online) Berbasis Web Untuk Menampilkan Data Antrian Superuser Bagian Backend

Technology that is growing rapidly, is very helpful for human work and activities. One of the activities that is often done is queuing. In this queue aktvitas there are problems in the processing of queues that are still manual so that there is a buildup of queues that can inhibit the effecttivias and human efficiency for activities. Seeing this problem will be designed and built an Online queue information system that will answer this error. The technology used is based on a responsive website using Javascript, Laravel Framework and MySQL Database which aims to improve the effectiveness and efficiency of a person in activities due to Online based and can prevent cheating in queuing activities. Online queue system application that has been done application testing to ensure the application of Online queue system that has been made run in accordance with its function, The result of the output of this queue system application is to make the queue process can be done Online through a website and easy-to-understand features make this website more effective and efficient when used. In the system there is also queue numbering so that the queue flow can be structured and can prevent fraud while queuing. Keywords : Backend Software Development, Web Based Online Queue System, Javascript, Laravel, MySQL Database.
LibGuides: FAQs: Research FAQs

This guide collects frequently asked research questions. If you have a general question and aren't sure where to turn, try this guide.
Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference

Phylogenetic inference is an intractable statistical problem on a complex space. Markov chain Monte Carlo methods are the primary tool for Bayesian phylogenetic inference, but it is challenging to construct efficient schemes to explore the associated posterior distribution or assess their performance. Existing approaches are unable to diagnose mixing or convergence of Markov schemes jointly across all components of a phylogenetic model. Lagged couplings of Markov chain Monte Carlo algorithms have recently been developed on simpler spaces to diagnose convergence and construct unbiased estimators. We describe a contractive coupling of Markov chains targeting a posterior distribution over a space of phylogenetic trees with branch lengths, scalar parameters and latent variables. We use these couplings to assess mixing and convergence of Markov chains jointly across all components of the phylogenetic model on trees with up to 200 leaves. Samples from our coupled chains may also be used to construct unbiased estimators.
MAPPING THE DISTRIBUTION OF TEN MAJOR DISEASES AT UPT PUSKESMAS PITURUH IN PURWOREJO DISTRICT BASED ON GEOGRAPHIC INFORMATION SYSTEM IN 2018

Background: Oblique projection of cervical spine radiography is used to support diagnosis inradiculopathy cases. Oblique projection can be performed with two techniques: anteroposterior obliqueand posteroanterior oblique. Radiosensitive organs around the exposure area are less exposed onposteroanterior oblique projection than on anteroposterior oblique projection, but the image quality ispotentialy reduced due to longer object to image receptor distance (OID). This study aims to comparethe anatomic information on anteroposterior oblique and posteroanterior oblique projections cervicalspine radiographic images.Methods: This is a descriptive study that presents overview and description of the distribution of tenmajor diseases in UPT Puskesmas Pituruh which later will be made in the form of maps based onGeographic Information Systems. This study using a cross-sectional approach. While the data retrievalwere done by taking secondary data that has been owned by the Puskesmas, those are patient’sadministrative data and patient’s clinical data in 2018.Results: The result that we got after proceed the data is the list of ten major diseases that often appearat UPT Puskesmas Pituruh’s work area in 2018, those are Upper Respiratory Tract Infection, Gastritis,Hypertension, Myalgia, Diabetes Mellitus, Pharyngitis Acute, Cerumen Prop, Vulnus Laceratum,Congestive Heart Failure, and Osteoarthritis. This study also giving an overview and description of thedistribution of ten major diseases in form of a map based on Geographic Information System.Recomendations: The list of ten major diseases should be made monthly because the list of ten majordiseases is one of the data that must be reported by Puskesmas to Dinas Kesehatan. Identification of thedistribution of ten major disease should be done regularly so the Puskesmas can wisely determine whichareas need more attention in prevention and controlling activities to handle the disease. Since there areresources and facilities that can support UPT Puskesmas Pituruh, the Puskesmas needs to develop thepresentation of ten major diseases data in the form of maps using ArcGIS software because it is veryhelpful in describing the problem of disease distribution based on location and incidence.