Reviewerly/exHarmony huggingface dataset:
A systematic literature review of data forecast and internet of things on the e-health landscape

Internet of things (IoT) is a constantly expanding paradigm that promises to revolutionise healthcare applications and could be associated with several other techniques.Data forecast is another paradigm widely used, where data captured over time are analysed in order to identify and predict problematic situations that may happen in the future.After research, we did not find surveys that address IoT combined with data prediction in healthcare area in literature.In this context, this work presents a systematic literature review on internet of things applied to e-health landscape with a focus on data forecast, presenting as results 14 papers about this theme, and a comparative analysis between them.Our main contribution for literature is a taxonomy for IoT systems with data forecast applied to healthcare.Finally, this paper presents some possibilities and challenges of exploration in the study field, showing existing gaps for future approaches.
Comparison of the effectiveness of machine learning classifiers in the context of voice biometrics

The purpose of this work was to compare the seven popular classifiers of scikit-learn python-based library in the context of the performance of the voice biometrics system. The MFCCs (Mel-Frequency Cepstral Coefficients) method was used to compute the feature vectors of the person's voice undergoing verification. The classifiers involved in this study are the following: K-NN (K-Nearest neighbors classifier), MLP (Multilayer perceptron), SVM (Support vector machine), DTC (Decision tree classifier), GNB (Gaussian Naive Bayes classifier), ABC (AdaBoost classifier), RFC (Random forest classifier). As the data, we used voice samples from 40 individuals with an average duration of 9 minutes per person. The performance criteria of the classifiers were dictated by the needs of voice biometrics systems. Thus, in the framework of this work, the fraud simulation was conducted during authentication. The most effective in voice recognition was the K-NN classifier, which, with zero number of incorrectly admitted persons, provided 3-85% better accuracy of verification than other classifiers.
Using cSHAKE in ORCHIDs

This document specifies how to use the cSHAKE hash for ORCHIDgeneration and allows for varying sized hashes in the ORCHID alongwith additional information within the ORCHID. It is an addendum toORCHIDv2 [RFC7343].
Fine-grained and Efficient Access Control in E-health Environment

With the rapid development of cloud storage technology, more and more hospitals and research institutions would like to upload the patient’s electronic medical record (EMR) to the cloud. However, the problems of privacy protection maybe occur if the patient’s private data be obtained by a malicious user. To solve this problem, a fine-grained and efficient access control protocol in the e-health environment is proposed. For one thing, ciphertext-policy attribute-based encryption (CP-ABE) strategy are utilized to conduct fine-grained access control, which guarantees the private data only can be accessed by legal users. For another thing, an optimized access control structure is designed for the reduction of computing and communication overhead. Note that unlike traditional access control protocols. Moreover, counter and the decryption test are employed in this paper to limit the access times and help cloud justify whether the data requester has  permission to decrypt the requested data, which contribute to resisting denial of service attacks (DoS). Analysis result demonstrates that the proposed protocol performs well in terms of security and efficiency.
The Effectiveness of Split Dictation as a Teching Strategy to Improve Students' Listening Skill

The objectives of this study are to find out whether split dictation technique is an effective technique to improve students’ listening skill and whether there is a significant difference between students who were taught by using split dictation and those who were taught by using a conventional method. This study is a quantitative research using quasy experimental as the method of collecting data. The subject of this research was 72 students of the tenth-grade students of SMA N 1 Sukorejo. In obtaining the data, the researcher conducted the pre-test, treatments, and the post-test. The results of this research showed that the mean score of the experimental group is 82,7 and the control group is 77,638. By using IBM SPSS 23th version program, the computation of the t-test which score of the sig (2 tailed) is (0.000) lower than (0.05), and the result of t-value (4.189) is higher than the t-table (1.994). In conclusion, there is a significant difference between the students’ listening test achievement. The students who were taught by using split dictation has higher achievement, this indicated that split dictation is effective enough to improve students’ listening achievement.&#x0D; Keywords: Split Dictation Technique; Listening Skill
Correction to: Ictal semiology, functional anatomy and multimodal diagnostic in patients with insular epilepsies

After publication of this article [1], it is noticed there are errors with figure numbering and matching between figure artwork and caption with Figs. 3, 4, 5 and 6.
Eyetrackingowe badanie weryfikacyjne procesu czytania u dzieci ryzyka dysleksji – analiza przypadków

The text presents an extract of an eye tracking verification study of the reading process in children with the risk of dyslexia. A case study analysis was used. The study revealed differences and irregularities between children with the risk of dyslexia and their peers in areas such as: number of fixations, length of fixations and length of observation of text. It was observed that the intensity of difficulties associated with the reading skills does not have to be proportional to the irregularities of the movements of the eye balls (for instance, serious decrease in the reading skills with insignificant improper movements of the eyes) but visual perception of the text being processed varies, which is graphically presented in the text.
Implementasi Sistem Load Balancing Menggunakan Metode Least Time First Byte Dan Multi-Agent System Pada Lingkungan Virtual

In this modern era, the technology is growing rapidly, the Internet is misled. This condition will be related to the service provider or commonly referred to as a server. Increasing the number of clients, the server also has to work heavier so that it often occurs overload. The Load Balancing mechanism uses the Least Time First Byte and Multi Agent system methods. This mechanism allows the server to overcome the number of users who perform service requests so that the load from the server can be resolved. This solution is considered efficient and effective because the request process on the information system will be shared evenly on multiple server back ends. The results of the research that can be proved if using this mechanism the server can work well when the request is from a user or client dating, this method successfully distributes the balancer evenly through the server backend. So the server is no longer experiencing overload. This can be proved when a system that has used the load balancing method with 300 connections generates a throughput of 123.1 KB/s as well as response time value of 4.72 MS and a system that does not use the load balancing method has a throughput of 108.4 KB/s as well as a response time value of 120.3 Ms. Therefore by implementing load balancing the performance of the system can always be improved.
Color As A Significant Atmospheric Factor Of Merchant Websites: A Moroccan Exploratory Study

Our exploratory study highlights the influence of environmental characteristics on individuals’ behavior in the commercial context. More particularly, it evaluates the importance of "color" as an atmospheric component in the context of e-commerce websites and it mesures its impact on the Moroccan web user.&#x0D; The literature review around the subject allowed us to brush the features of the commercial atmosphere both traditional and virtual, putting the component of "color" in the center of our interest.&#x0D; The conducted qualitative study via semi-directive interviews has brought to light the variables of our research confronted to the results of the literature.
Socio-cultural Approach to the Definition of "Intelligentsia" in Pedagogy

The problem of the existence of a huge variety of definitions of the concept of "intelligentsia" and identifying approaches is posed in the article that most fully satisfy the consideration of this concept within the framework of various scientific fields.Sociocultural approaches to the definition of "intelligentsia" are characterized.The authors consider the sociocultural approach as the most fully revealing the essence of this definition from the point of view of pedagogy.The article defines the "intelligentsia" within the framework of the socio-cultural approach, the essence of the concept "educational activity of the intelligentsia" is revealed.
Sensory Overload and Poe's Mechanics of Terror

ABSTRACT: Critics and authors alike have labeled Edgar Allan Poe a master of horror fiction, foregrounding in particular his creation and deployment of the affect of terror. In his 1846 essay, "The Philosophy of Composition," Poe discloses a relevant principle: rather than following "the usual mode of constructing a story" by focusing on plot, he "prefer[s] commencing with the consideration of an effect." This emphasis on "effect" is crucial to understanding Poe's ability to create terror. But how was he able to imbue his work with an affect strong enough to trigger the transmission of terror so successfully across his texts? To explain the origin of Poe's terror, it might seem obvious to point to his preoccupation with death, to his inherently creepy interest in macabre topics. But these are the stuff of narrative—of plot—and the writer has given us cause to go beyond such explanation. In this article, I employ methods of data analysis and close reading—focused on "The Fall of the House of Usher" (1839) and "The Premature Burial" (1844)—to address the question, paying close attention to Poe's deployment of overwhelming sensorial description and perspectival variety in his fiction.
The Use of Biometrics in Informative Institutions: Academic libraries as an Example

This study aims to identify the possibility of applying/using biometrics in library and information profession, especially in academic libraries which aims to provide advanced services to meet all the needs of researchers, whether faculty members or students. Utilizing the descriptive analytical approach, the present study will review the concept of biometrics, biometrics applications, and their categories .and The study will then shed light on the use of biometrics in academic libraries, the advantages of using biometric applications in academic libraries, and the obstacles hindering their application. In addition, the study makes recommendations for the use of such measurements effectively in academic libraries.
READING NARRATIVE BY SEMANTIC MAPPING: A STRATEGY TO ENHANCE STUDENTSâ€™ COMPREHENSION

This study attempted to investigate the effectiveness of using semantic mapping strategy for improving studentsâ€™ reading comprehension skill on narrative text. This study employed a quasi-experimental design by dividing the research group into control and experimental group. In this study, a pre-test and post-test experimental design with control group was used. The instruments used to collect the data were reading comprehension tests before and after the treatment.Â The study was conducted at grade VIII of SMP Nurul Jadid Probolinggo at which the students were identified as having problem in comprehending English narrative text. The finding showed that semantic mapping strategy can improve studentsâ€™ comprehension on reading narrative text.
Artistic Culture under Hybrid Conditions

The paper is focused on the cultural aspects of the interaction of contemporary art practices with the digital technologies under hybrid conditions of post-culture information spaces. The risks of the commodification processes of visual practices and cultivation of historical and cultural amnesia, which deform the cultural memory of the public consciousness and level the essential identification of art, are clarified. The reasoning of the paper is based on a substantive body of analytical considerations by well-known Western and domestic experts.
Vulnerability and Risk Assessment of a State University in the Philippines

This descriptive comparative research determined the vulnerability and risk index including the adaptive capacity of the university exposed elements: population, natural resources, and facilities. A researcher-made survey questionnaire was used to determine the adaptive capacity of these elements and was administered to 598 respondents composed of students, faculty, and non-teaching personnel from the three campuses. An assessment survey was also conducted over three groups of purposively selected students, personnel, and external stakeholders for vulnerability and risk. Using descriptive and inferential analysis, the study yielded a high adaptive capacity for all exposed elements and a significant difference when the respondents were grouped into campuses. Likewise, all campuses have a very low vulnerability and low risk to landslide but have a different risk to flooding: B has a high risk, A is moderate, while C has no risk. Findings suggest that each campus has to be treated differently to address priority areas.
KESALAHAN BERBAHASA INDONESIA PADA SURAT DINAS DESA BATAN SEBAGAI MATERI AJAR BAHASA INDONESIA DI SMP

This study aims to describe: (1) the forms of misuse of spelling on official letters in and out of the Village Office of Batan Village; (2) a form of error in the choice of words on official letters in and out of the Batan Village Office; (3) the form of misuse of the sentence on official letters in and out of the Village Office of Batan Village; and (4) the relevance of the findings of the analysis of errors in the use of Indonesian with learning letters in junior high school. The method used is qualitative descriptive. The data source used is in the form of documents and informants. The sampling technique uses purposive sampling. Data collection techniques use document analysis and interview techniques. The validity of the data is done by theory triangulation and source triangulation. Data analysis is using interactive analysis. The results of the study showed: (1) there were spelling errors in the official letter of entry and exit in the Village of Batan as many as 1,171 errors, among the three types of errors in spelling, capital letters errors had the most frequency followed by word punctuation and writing errors; (2) there were 273 errors in the official letter of entry and exit in the Village of Batan. Among the three types of diction errors, the savings error has the highest number of errors followed by errors in accuracy and rigidity; (3) there were 142 mistakes in sentence in the official letter of entry and exit in the Village of Batan Village. Among the three types of errors in the sentence, the error of the unitary arrangement has the most frequency followed by logical errors and politeness; (4) the findings of the analysis can be evaluated on the learning of letters in junior high school class VII, KD 3.11 and 4.11 and KD 3.12 and KD 4.12.
The Invention of Style

Style is a rare word in Middle English. It has long been assumed that the concept of a writer's individual or personal style only developed during the early modern period. This paper traces the emergence of style in English writing from the fourteenth to the sixteenth century, performing textual analysis at both the macro and the micro level by using computer software (Voyant; Stylo for R; AntConc) in tandem with traditional close reading. Two major databases were deployed: first, a collection of 279 Middle English digital texts assembled by my research assistant, Imogen Forbes-Macphail, and second, the Middle English Glossarial Database created by Professor Larry Benson, which includes lemmatized texts of Chaucer and Gower's English corpora. The results show that the literary sense of "style" is introduced to the English literary tradition by Chaucer, by way of Petrarch, and then more fully explored by Lydgate, especially in his Fall of Princes. Using stylometry software (Stylo for R by M. Eder), the essay shows in a series of graphs how Chaucer and Gower's styles are distinct from one another, using principal components analysis, cluster analysis, a bootstrap consensus tree, and network analysis; these graphs also show a clear distinction between Chaucer's verse and his prose. I suggest that the difference between Chaucer and Gower is related to these writers' explicit gestures toward the "high style" (Chaucer) and the "plain style" (Gower). The final section of the paper returns to the larger question of style as the word appears in the Forbes-Macphail database, investigating more closely the large spike in usage that appears in the fifteenth century in Lydgate's poetry. By examining his use of personal pronouns and adjectives in conjunction with style, I show that Lydgate pioneered the notion of a writer's personal style, in contradistinction to the rhetorical levels of style (high and low) to which Chaucer and Gower refer.
Motion Analysis and Prediction Using Machine Learning Models and Fuzzy Logic

With the ever increasing computational ability of modern machines and their ability to learn by themselves has led to the sustained growth of Artificial Intelligence.When measuring few parameters from the ether (dynamic), huge amount of data is obtained.The amount of knowledge available is too large for explicit encoding by humans.Machines that learn this knowledge can reproduce more accurate results/ predictions at specified instants.Environments change over time.Machines that can adapt to a changing environment would reduce the need for constant redesign.In this paper we obtain motion values of objects in a lab environment and make analysis of the dynamics using fuzzy logic.The machine is trained using machine learning algorithms to make predictions on motion.These predictions are further fed to the machine to increase the intelligence of the predicting model and to establish a controlled loopback model.Use of fuzzy logic, further refines the accuracy of the approach and rules out the present incompatible two logic level approach.
Crypto-Protector: Multi-threaded RSA to Prevent EM Attacks

The cryptographic algorithm executed in the embedded or smart devices can be attacked by non-invasive EM attacks extracting the secret keys. The EM attacks can be performed based on either simple power analysis or statistical analysis methods depending on the implementation design. What is important here is that it is costly to re-implement and update the widely used cryptographic library whenever new weaknesses in the implementation are reported. In this paper, we propose a cryptographic module independent method, aptly named Crypto-Protector, for protecting against EM attacks. By executing multithreaded operations with some decoy keys, Crypto-Protector provides a disalignment effect of EM traces.
A Study on the Application of Input Hypothesis in English Teaching of Junior High School

Since Input Hypothesis was proposed, it has attracted the attention of domestic and foreign linguists.However, Input Hypothesis is still a "virgin land" in the teaching practices of primary and high schools.This paper aims to investigate the teaching of junior high school English so as to find out the applications of Input Hypothesis in junior high school English teaching and then propose a series of strategies that can be applied in junior high school English classes in accordance with the four principles of Input Hypothesis.The study was carried out in seventh grade of a junior high school.The researchers observed the English lessons of two classes in seventh grade for three months, analyzed the teaching plans and interviewed the teacher of the two classes.This paper found out that many teaching strategies that the teacher used are theoretically related to Input Hypothesis.However, the teacher has never learned about this theory.In order to bridge the gap between Input Hypothesis and English teaching in junior high school, this paper explained four principles of this hypothesis and put forward some possible strategies.This paper hopes to make contributions to the application of linguistic theories in English teaching og junior high school and urge teachers to equip themselves with these theories.
Reproductive Health and Family Planning Behaviors in North West Nigeria

Contraceptive prevalence (CPR) in North West Nigeria is the lowest in the country coinciding with high fertility driven primarily by large family ideation. Research shows that communication about family planning, especially between spouses/partners leads to adoption of a modern method of contraception. To promote spouse and partner communication and to increase family planning use, an entertainment-education radio serial drama was broadcast featuring characters that modeled how to discuss having smaller families, birth spacing, contraceptive use, and maternal and child health. A post-test representative survey of 649 participants found that 71 percent listened to the programme weekly. Multivariate analysis found that regular listeners were 2.4 (95% CI 1.4, 4.3) times more likely than non-listeners to say they “currently use something to delay or avoid pregnancy.” On several other behavioural and attitudinal indicators, results showed that regular listeners to the programme had more favorable scores than non-listeners to the programme.
Domino D2.2 - Database structure

This is a technical deliverable describing the database used in Domino. The structure of the database along with information on the data sources used are included. This database has been used to store the input and outputs of the executions of the investigative case studies reported in D5.2 – Investigative case studies results.The deliverable includes a diagram of the relational database and a description of the different tables used with information on the different fields that define these tables. Information on the precomputation of data to create the required input for the model is also included.Current shortcomings of the database are identified and potential solutions highlighted.
Pengenalan Daun Tanaman Obat Menggunakan Jaringan Syaraf Tiruan Backpropagation

Indonesia is a country with a variety of biodiversity. One of the rich types of flora or plants is medicinal plants. Not all types of medicinal plants can be remembered by the community because people have limited memory. In addition, the many types of medicinal plants make an error in the process of introduction of medicinal plant types. This research processes leaf images using image processing. The data used in this study 189 data consisting of 7 types of medicinal plants. Feature extraction used was 21 features which included shape, texture and color. The result of feature extraction will be identified using backpropagation neural network. Classification experiments with backpropagation produce an optimal accuracy of 91%. These results are generated using data normalization and 3 fold. The architecture used is input 21 features, 40 neurons in the hidden layer 1 and 15 neurons in the hidden layer 2. The results are obtained by the trainscg function, the activation function tansig.