Reviewerly/exHarmony huggingface dataset:
Видавничо-педагогічний підхід до проблеми типологізації електронних освітніх ресурсів

The key in the development of a high-quality electronic educational resource (EER)is the creation of its clear typological portrait (similar to the paper edition) at the firststage and consistent adherence to certain typological features at all stages of its preparation, design and implementation. Detailed typological certainty helps to improve thequality of EERs, its functional efficiency, proper market representation, which providessocial and commercial demand. The objectivity of the structure of EERs at the nationallevel also depends on the correct classification of EERs. The combination of typologicalcharacteristics of EERs with the quality and cost of its preparation, development andimplementation form the market value of any of them.The article analyses the classifications of EERs, presented in regulations and research papers, identified different approaches for the typological division: pedagogical(in the context of teaching methods) and publishing (in the context of EERs development).The typological features of EERs developed in pedagogical and publishing scientific discourses are generalized and systematized, the approaches to classification of electroniceditions and software as part of EERs are taken into account and the typological featuresof EERs are harmonized with requirements to metadata of educational objects and educational resources defined in international and national standards. A facet classification СОЦІАЛЬНІ КОМУНІКАЦІЇ / SOCIAL COMMUNICATIONS 141has been developed, which has become the basis for typology of EERs according to aset of features grouped into five categories: general (language, structure), educational(direction of use, functions in the educational process, users (audience), form (level) ofeducation); publishing and technological (availability of printed equivalent, availabilityof editorial and publishing processing, developers, development technologies, technologies of use); technical (form of existence, presentation of data, method of data use,type of data and nature of basic information, format, nature of interaction with the user,dependence on operating systems (mobile platforms), stability); legal (limited space,type of license).Emphasis is placed on the tendency of foreign publishers to develop thematic packages, combined with special software, into integrated digital educational environments,rather than individual EERs
Transforming Requirements to Ontologies

Capturing client’s needs and expectations for a product or service is an important problem in software development. Software requirements are normally captured in natural language and mostly they a ...
Guides: Tutorials: How to Find E-Journals

This guide provides tutorials on how to navigate our Pepperdine Libraries website as well as how to use some of Pepperdine Libraries' valuable online resources.
AN ANALYSIS OF STUDENTS’ READING DIFFICULTIES IN COMPREHENDING NARRATIVE TEXT

The aims of this research are to identify the students’ difficulties in comprehending narrative text and to obtain the factors that contributing difficulties in comprehending narrative text of the tenth grade students SMK Negeri 2 Tanjungpinang. The researcher used the descriptive qualitative as the method which is served by narrative style. The subject of this research was 15 students of X Perhotelan 2. To collect the data the researcher used multiple choice test and interview. The researcher used data reducing and data display as the technique of analyzing the data. First, the researcher tested the students with multiple choice test and interviewed the students. Second, the researcher found that there are 8.2% students who have difficulties in determining social function and generic structure, 24.7% students have difficulties in determining main idea, 6.8% students have difficulties in determining synonym, 24.7% students have difficulties in finding implicit information, 9.6% students have difficulties in finding explicit information and 26% students have difficulties in determining moral value. Most of the students have difficulties on determining main idea, finding implicit information and determining moral value. The researcher also discovered several factors contributing students’ difficulties in comprehending narrative text. They are lack of vocabulary, text familiarity, the level of difficulty of the text, lack of effective reading strategies and lack in processing information.
Fractional “particles” could mean new electronics: Quasiparticles might lead to new kinds of quantum computers - [News]

Who knew you could get change for an electron?Researchers have designed a nanoelectronic circuit that can tease into existence a strange new kind of quantum "particle."Its existence confirms decades of speculation about the behavior of electronic circuits in very low temperatures and high magnetic fields-and opens the door for possible applications in next-generation quantum computers.However, this quasipar ticle, or "anyon," carries only a fraction of an electron's charge.It is, to be clear, not substantively an actual single particle but rather more likely an ensemble of electrons acting collectively in certain extreme quantum environments.In other, significant ways, an anyon does behave like a particle.Much like an electron hole in conventional semiconductors, an anyon acts as its own discrete entity with its own characteristic mass, charge, and spin.And, unlike the +1 charge of an electron hole, these newly studied anyons (whose name Nobel laureate Frank Wilczek jokingly coined after their seemingly "anything goes" nature) carry just one-third of an electron's charge.
Penerapan Metode Instruksi Langsung (Direct Instruction) dalam Sistem Pembelajaran Untuk Meningkatkan Hasil Belajar Siswa Pada Mata Pelajaran Matematika Kelas 3 SD

The low learning outcomes of 3rd grade students at Public Elementery School 05 Mukomuko City in Mathematics subjects two-dimentional figure and their characteristics only 3 students (38%) who have the above grades of minimum criteria (KKM). With an average student evaluation score of 48. For this reason, it is necessary to improve learning to improve student learning outcomes. One effort to improve learning is the use of appropriate learning models with subject matter. In this case the researchers used a direct learning model (direct instruction) to improve student learning outcomes. Direct Learning Model  is one of the active learning models that provides opportunities for students to share ideas, consider the most appropriate answers and answer questions verbally so as to foster student confidence in expressing ideas or answers in front of the class thus is expected to improve student learning outcomes. From the learning outcomes that researchers do turn out direct learning models (direct instruction) can improve student learning outcomes, this is evidenced by an increase in student learning outcomes in each study that researchers do. Learning that researchers do begins with the prasiklus stage which is carried out on Tuesday April 25 2017 with an average student learning outcomes of 50.8, improvement of the first cycle Tuesday May 2, 2017 the average student learning outcomes to 61, and improvement of Cycle II Tuesday 09 May 2017 the average student learning outcomes 81.5. Thus it can be concluded that using the direct learning model in Mathematics can improve student learning outcomes.
Implementation of Integrated Bayes Formula and Support Vector Machine for Analysing Airline’s Passengers Review

Nowadays, the utilization of Internet of Things (IoT) is commonly used in the tourism industry, including aviation, where passengers of flight services can rate their satisfaction levels towards the product and service they use by writing their reviews in the form of text-based data on many popular websites. These passenger reviews are collections of potential big data and can be analyzed in order to extract meaningful informations. Some text mining algorithms are already in common use, including the Bayes formula and Support Vector Machine methods. This research proposes an implementation of the Bayes and SVM methods where these algorithms will operate independently yet integrated with other modules such as input data, text pre-processing and shows output result concisely in one single information system. The proposed system was successfully delivered 1000 documents of passenger reviews as input data, then after implemented the pre-processing method, the Bayes formula was used to classify the document reviews into 5 categories, including plane condition, flight comfort, staff service, food and entertainment, and price. While simultanously, the positive and negative sentiment contained in the review document was analyzed with SVM method and shows the accuracy score of 83.6% for a training to testing set ratio of 50:50, while 82.75% accuracy for the 60:40 ratio, and 83.3% accuracy for the 70:30 ratio. This research shows that two different text mining algorithms can be implemented simultaneously in a effective and efficient way, while still providing an accurate and satisfying performance results in one integrated information system.
AVARCIBER: a framework for assessing cibersecurity risks

The identification and assessment of risks are a fundamental part of cybersecurity. Determining the elements that participate in this field is difficult because there is no exclusive approach to cybersecurity. This document aims to provide a framework to identify and assess cybersecurity risks. For this, a systematic review of the studies related to cybersecurity risk taxonomies was carried out. The main elements of the proposed conceptual model and framework have been determined by applying the snowball technique. To validate the implementation of the proposed framework, a case study has been implemented at the Ecuadorian Social Security Institute. The first task was to consolidate the information in a baseline. Once the baseline was obtained, the defined framework has been applied. As a result, through the use of the proposed framework, the assessment process has improved the decision-making process regarding the importance and criticality of the risks and countermeasures that must be applied.
Improving algorithms in phylogenetics using machine learning

In this thesis we look at three different algorithms within the field of phylogenetics and create a proof of concept for using machine learning to improve the algorithms. The problems are the maximum agreement forest problem, the hybridization number problem and finally the tail move problem. A study of the problems show that they can all benefit from machine learning. For each of the problems we find a machine leanring implementation using basic decision trees. The results show that the MAF problem and the tail move problem can both benefit from machine learning and for the hybridization number problem we give an implementation that is faster than the studied algorithm.
Tips for Preparing Your Next NIST Risk Assessment

In today’s environment fraught with cybercrime, hackers, and malicious attacks, no organization can be too vigilant. This is why risk management has ...
The Effect of Dictogloss Technique on The Students’ Listening Comprehension at Stmik Prabumulih

This study is concerned with the effect of the dictogloss technique on the students’ listening comprehension. It uses an experimental design. The population of the study was the third semester Information Systems study program students of STMIK Prabumulih.  The samples were taken by applying random sampling technique. Pretest and posttest were carried out with participant students from the two classes, experimental and control class. The independent samples t-test was carried out to compare  the means of the two independent groups. The finding reveals that the t count value was greater than the t table value at the 0.05 significance level with df 62 (3.58>1.67). With the result of this calculation, the null hypothesis is successfully rejected. It means that the listening comprehension of the third semester students of STMIK Prabumulih taught by using dictogloss technique is higher than students taught with conventional technique and thus dictogloss technique significantly affect students’ listening comprehension.
Guaranteed emergence of genuine entanglement in 3-qubit evolving systems

Multipartite entanglement has been shown to be of particular relevance for a better understanding and exploitation of the dynamics and flow of entanglement in multiparty systems. This calls for analysis aimed at identifying the appropriate processes that guarantee the emergence of multipartite entanglement in a wide range of scenarios. Here we carry on such analysis considering a system of two initially entangled qubits, one of which is let to interact with a third qubit according to an arbitrary unitary evolution. We establish necessary and sufficient conditions on the corresponding Kraus operators, to discern whether the evolved state pertains to either one of the classes of 3-qubit pure states that exhibit some kind of entanglement, namely biseparable, W-, and GHZ- genuine entangled classes. Our results provide a classification of the Kraus operators according to their capacity of producing 3-qubit entanglement, and pave the way for extending the analysis to larger systems and determining the particular interactions that must be implemented in order to create, enhance and distribute entanglement in a specific manner.
AN ANALYSIS OF VERBAL CLASSROOM INTERACTION BETWEEN TEACHER AND STUDENT'S IN THE 12TH GRADE

The purpose of this research is to describe the verbal classroom interactions that occur between the teacher and students whether the verbal classroom interaction in the 12th Grade at MA Miftahul Ulum Tanjungpinang runs well or not. The method that is use in this research is descriptive qualitative which the data were collected and then presented descriptively by describing or telling the results of the research with a description of logical sentences. The sample of this research are 4 students of 12th grade and the English teacher of MA Miftahul Ulum Tanjungpinang. The technique of collecting the data are non-participant observation, video tapping and notebook. The technique of analyzing the data are from B. Miles & Huberman (1994). The first is data reduction, the researcher reduce the data by record the interaction between teacher and students during lesson by videotaping and notebook. Second is data display, and the third is conclusion drawing, the researcher found that the teacher more dominant when interacting during lesson and when the learning process took place, the researcher found that the students confused about what they have to say when the teacher asks them to answer a few questions and they are also just kept quiet. There were four students in the class, only two students who were seen occasionally responded briefly.
Spin glass theory with applications to neural networks

In this thesis we go through three classical models in complex system theory: Ising model, spin glasses model and Hopfield model.
The Design of Stateful Serverless Infrastructure

Author(s): Sreekanti, Vikram | Advisor(s): Hellerstein, Joseph M | Abstract: Serverless computing has become increasingly popular in the last few years because it simplifies the developer's experience of constructing and deploying applications. Simultaneously, it enables cloud providers to pack multiple users' workloads into shared physical resources at a fine granularity, achieving higher resource efficiency. However, existing serverless Function-as-a-Service (FaaS) systems have significant shortcomings around state management—notably, high-latency IO, disabled point-to-point communication, and high function invocation overheads.In this dissertation, we present a line of work in which we redesign serverless infrastructure to natively support efficient, consistent, and fault-tolerant state management. We first explore the architecture of a stateful FaaS system we designed called Cloudburst, which overcomes many of the limitations of commercial FaaS systems. We then turn to consistency and fault-tolerance, describing how we provide read atomic transactions in the context of FaaS applications. Finally, we describe the design and implementation of a serverless dataflow API and optimization framework specifically designed to support machine learning prediction serving workloads.
Disseminating Research News in HCI: Perceived Hazards, How-To's, and Opportunities for Innovation

Mass media afford researchers critical opportunities to disseminate research findings and trends to the general public. Yet researchers also perceive that their work can be miscommunicated in mass media, thus generating unintended understandings of HCI research by the general public. We conduct a Grounded Theory analysis of interviews with 12 HCI researchers and find that miscommunication can occur at four origins along the socio-technical infrastructure known as the Media Production Pipeline (MPP) for science news. Results yield researchers' perceived hazards of disseminating their work through mass media, as well as strategies for fostering effective communication of research. We conclude with implications for augmenting or innovating new MPP technologies.
Stationary Multivariate Probabilities Estimation for Intelligent MCMC Algorithms

The purpose of this paper is to get theoretical and empirical results for stationary multivariate probabilities estimation of any clonal selection or genetic algorithm by new presented proposed algorithm. The estimation proposed formula is true for any regular Markov Chain to get the desirable multivariate distribution.
Conception versus Reality : A Case Study of SFI-teachers’ Codeswitching into English

The fact that people tend to alternate between languages for various communicative purposes seems to increasingly interest researchers all over the world. Thus, the linguistic phenomenon of codeswi ...
Risk management and risk assignment: from digital distruption to statistical tools for natural events&amp;#8217; Risk

&amp;lt;p&amp;gt;Recent calamities in Italy caused by natural disasters encouraged scientists and politicians to assess the need to find instruments for limiting risks. Risk Management suggests methods of adopting various options. A successful approach, thanks to the inexorable growth of digital technology, involves the use of the information infers from the decoding of Big Data. The radical technological advances generated by digital technologies require the application of appropriate statistical tools. The adoption of more flexible and interactive tools and strategies to analyses the natural phenomena (e.g. floods and landslides) as well as possible disasters like eruptions and earthquakes could ensure an optimal response to risk transfer and management.&amp;lt;/p&amp;gt;
Outpatient Registration Information System with Cloud Computing Storage at Candipuro Health Center, Lumajang Regency

Based on the Regulation of the Minister of Health of the Republic of Indonesia Number 44 Year 2016 regarding the Guidelines for Public Health Center Management, it is explained that the Public Health Center known as Puskesmas is the First Level Health Facility (FKTP) responsible for public health in its working area in one or part of the subdistrict area. In performing its duties and functions, it must implement Public Health Center management effectively and efficiently. The cycle of quality Puskesmas management is a continuous series of routine activities, carried out in the implementation of quality health efforts, which must be monitored periodicly and regularly, supervised and controlled over time, in order to repair and improve performance. The error that can be found at Candipuro Public Health Center is that there is no system that loads related to the search of patient database so that it makes redundancy for patients who seek treatment when the old patient's word can not be found. With the advantages in the Public Health Center is a computer facility on every poly and service units, as well as adequate internet access. To support this research, data collecting method is done by observation, interview, literature study, analysis, system design, system building, testing and system implementation.
Episodes of forms and reasons of code-switching in facebook posts

This study examined the phenomenon of code-switching embedded in the 51 instances Facebook posts and comments of Filipino of multilingual users. Employing qualitative research design and purposive sampling of ten participants, data were gathered through screenshots and online interviews and analyzed by classifying posts according to formations and sorting reasons according to themes. Results showed that the forms of code-switching in Facebook posts are tag, and intra-word. The reasons behind this linguistic phenomenon are to talk on a particular topic, provide emphasis about a message, express group identity, clarify speech content, meet a real lexical need, exclude others, indicate emotion, express their emotions, and keep up with linguistic trend. These forms and reasons implied that Facebook influences the language use of netizens in their cyber communication and fortified the prevalence of code-switching as an online linguistic phenomenon.
Adaptation Properties Allow Identification of Optimized Neural Codes

The adaptation of neural codes to the statistics of their environment is well captured by efficient coding approaches. Here we solve an inverse problem: characterizing the objective and constraint functions that efficient codes appear to be optimal for, on the basis of how they adapt to different stimulus distributions. We formulate a general efficient coding problem, with flexible objective and constraint functions and minimal parametric assumptions. Solving special cases of this model, we provide solutions to broad classes of Fisher information-based efficient coding problems, generalizing a wide range of previous results. We show that different objective function types impose qualitatively different adaptation behaviors, while constraints enforce characteristic deviations from classic efficient coding signatures. Despite interaction between these effects, clear signatures emerge for both unconstrained optimization problems and information-maximizing objective functions. Asking for a fixed-point of the neural code adaptation, we find an objective-independent characterization of constraints on the neural code. We use this result to propose an experimental paradigm that can characterize both the objective and constraint functions that an observed code appears to be optimized for.
Evolution of SoftwareDocumentation Over Time : An analysis of the quality of softwaredocumentation

Software developers, maintainers, and testers rely on documentation to understandthe code they are working with. However, software documentation is perceivedas a waste of effort because it is usual ...
Inside Science Resources in Retrospective – 2015 – 2020

The purpose of this report is threefold: 1. To summarize the production of the committee since its beginning in April of 2015; 2. To give credit to all the contributors for their excellent work in identifying resources of value to the STEM community; and 3. To provide an easy index for all the contributions made. A total of 63 contributions have been published in this blog, which have been written by 30 of our STS colleagues.
How scarcity of certainty affects your cognitive functioning

Beyond the many choices and challenges humans face during the pandemic lies a constant cognitive trade-off: Those who excessively absorb news against uncertainty run the risk of impaired cognitive functions.
Research Guides: Welcome to Using Primo: Searching I-Share for Books & DVDs

A resource guide for students and faculty about the transition to the Primo VE discovery service.