Reviewerly/exHarmony huggingface dataset:
A Correlational Study Investigating Students’ Activities in STAD Model and Their Interest in Learning English

The study attempts to know the significant correlation between students’ Activities in STAD Model and their interest in learning English. This study was a correlational study designed to determine whether and how a set of variables had related to each other. The participants were 50 students in the first year of high school. The instruments used in this study were observation sheet and questionnaire. Observation sheet is used to find out the category of students’ activities in STAD model and give a questionnaire consisting of seven items to the students. SPSS was used to analyze the data. The score of product-moment by using SPSS, Rxy is (0,410): it showed there was a significant correlation between students’ activities in STAD model and their interest in learning English. Referring to the product-moment table, it shows that the correlation is “enough” because 0,401 placed between 0,400 – 0,599. In addition, the null hypothesis was rejected because r table is lower than r observation whether at 5% (0,279) or at 1 % (0,361) level of significance, meaning that there was a significant correlation between students’ activities in STAD model and their interest in learning English. So, it can be concluded that activities in STAD model can influence students’ interest because, in STAD model, students can learn the English learning material better.
Trends of Internet of Things and Cloud Services

With the trend going on in ubiquitous computing, everything is going to be connected to the Internet and its data will be used for various progressive purposes, creating not only information from it, but also, knowledge and even wisdom. Internet of Things (IoT) becoming so pervasive that it is becoming important to integrate it with cloud computing because of the amount of data IoT’s could generate and their requirement to have the privilege of virtual resources utilization and storage capacity, but also, to make it possible to create more usefulness from the data generated by IoT’s and develop smart applications for the users. This IoT and cloud computing integration is referred to as Cloud of Thing.
基于时间序列的混合神经网络数据融合算法

For traditional data fusion algorithms, the fusion performance of high-noise, large-scale and complex-structure time series data is poor. A hybrid neural network data fusion algorithm (i.e. the SCLG algorithm) was proposed to solve this problem. Firstly, the time series data were decomposed and reconstructed with the singular spectrum analysis algorithm to eliminate noise. Secondly, the spatial and short-term characteristics of the data were extracted by means of the deep convolutional neural network. Thirdly, the long short-term memory neural network and the gated recurrent unit neural network were introduced to extract data features in the time dimension. Finally, the fully connected layer was applied to integrate the main information and output the final decision. The experimental results from the SP&500 and AQI data sets show that, the proposed algorithm is superior to DCNN, CNN-LSTM and FDL in terms of fusion performance and stability.
Clinicians as mediators in participatory design research: a communication design study in paediatric healthcare

Participatory design is a democratic process that involves direct collaboration with end-users to achieve design outcomes. In healthcare, patients are often considered the most valuable group to recruit into participatory design activities. However, when designing in unpredictable health settings with end-users who may be marginalised, direct designer-patient interaction is not always advisable, and as a result, designers may perceive that they are neglecting the fundamental democratic principles of participatory design. This article presents a communication design study that was conducted in an Australian children's hospital where clinicians were used as designer-patient mediators. I argue that the use of mediators can open up participation to a much wider range of end-users, including those that a designer cannot access, aligning with participatory design's democratic philosophy.
C&amp;amp;RL Spotlight

Special issue on the Value of Academic LibrariesOne of the priorities of C&amp;RL is that it model the values of the professional and of ACRL It is in a position to be a strong voice for professional values and to help move the initiatives and priorities of ACRL forward.
Hybrid Data Protection Framework to Enhance A2O Functionality in Production Database Virtualization

Deluge of information flows in the unprecedented scenario of smart city development trend, hence prone to issues on stability, reliability and availability. Smart data storage resources are vulnerable to provide functionality Always Available Online (A2O) due to their inherent heavy dependence on System Down Time (SDT), Redundant Systems and Software Failure (RS2F) or whole/ multiple site failures. In the absence of Production Database Management Services (PDMS), duplicate deployment of similar data on disjoint but similar architecture provides a Tightly Coupled Ultimate System (TCUS), which assures A2O mutually exclusive services. In this paper, we investigated active Data Guard (aDG) and Data Guard (DG) role management or switchover for a real time transition performed for database at standby state to cope up both planned maintenance and accidental RS2F events. We expose our results for deep integration of aDGs with ODB in-terms of Fast Sync to align synchronously at an ease of zero of wait states for disk I/O and configurability to Null Data Loss (NDL). Over a large range of remote or standby databases NDL make it certain to zero failover. The impact of aDG Fast-Start Failover in the cloud proximity make sure guaranteed NDL in synchronously and near NDL protection asynchronously. Hence, avoids unusual overhead impeding disk I/O and eventually on a primary database. We observe the key performance indicator in failover does not restart the standby database for primary role resumption, but introduce cloud proximity as a new primary database and the process is performed without any intervention of manual migration. The reliability of aDG Redo is flexible across not only standby databases but also primary sites running different operating system over diverse hardware platforms. The Redo capability enables migration with minimal downtime for any transaction in the clouds, therefore adds an inevitable functionality to big data applications.
Correction: Value of sample information in dynamic, structurally uncertain resource systems

[This corrects the article DOI: 10.1371/journal.pone.0199326.].
Public Increasing Trust of Biometric Technology

Publically agree to technology of biometric is compound based at extreme believe. The bounded function at believe to biometrics usually record in various types of biometrics with correlative samples associated with familiarity and confidential. To develop a complete understand trust of people recognition about biometrics, we employed current theory to develop a regular calculation of trust in biometrics from user’s theory. We increased confidence of first concern in terms of mutual interaction, technology, information systems and adoption of automated technology. Identified common belief components in these circumstances. Modified objects with reference to biometric technology. Managed an Examine study to determine the reliability of this new scale for sub-factors and trust. Our statistics give rise to seventh recently elements companion with user believe to technology of biometric. We will know work process with recommend conclusion also.
<i>Algodoo Physics Modeling Game</i> http://www.algodoo.com/

First Page
Minerals of the Pb-As-Sb-S и Cu-Pb-As-Sb-S systems in the ores of berezitovoe gold-polymetallic deposit (Upper Amur region, Russia)

Composition and genesis of arsenium-antimony sulfosalts of lead from the gold-bearing ores of the Berezitovoe deposit located in the eastern part of Mongol-Okhotsk orogenic belt (Upper Amur Area) were considered. Lead sulfosalts (Cu and Pb) are presented by tsugaruite, dufrenoysite, boulangerite, menehinite, bismuthic menehinite (with Bi up to 11.5 mass%), as well as minerals of jordanite-geocronite and bournonite-seligmannite series. The studies have revealed basic features of the lead sulfosalts relationship with ore and silicate minerals in different mineral association of vain ores and regularities in their composition variations. It was found that the composite arsenium-antimony sulfosalts form quasicontinuous series of solid compounds strongly differing from each other by the rate of semimetals as well as semimetals-Pb ratio in their composition.&#x0D; The suggestion has been made that the main typomorphic features of composition of the arsenium-antimony sulfosalts of lead from ores of the Berezitovoe deposit were determined by the specific processes of partial melting of sulfides under the high temperature metamorphism of primary polymetallic ores.
Toward an automatic summarisation of Arabic text depending on rhetorical relations

Rhetorical relations between two text segments are crucial information and have been proven useful for many natural language processing applications. In this paper, we propose a supervised approach for automatic identifying of rhetorical relations in Arabic texts. Our model attempts to identify both implicit and explicit rhetorical relations between elementary discourse units which will be exploited in automatic summarisation of Arabic texts. To carry out this research, we developed a discourse annotated corpus following the rhetorical structure theory framework with high reliability. Relations annotation was done using a set of 23 fine-grained relations enriched with nuclearity annotation. To automatically learn these relations, we reuse some state of the arts features and contribute new lexical and semantics' features. The experimental results on fine-grained and coarse-grained relations show that our model achieved best performance relative to all baselines.
Musical Gestures

SummaryThis theory was introduced by Guerino Mazzola and is described in detail in [96]. Here we give a summary of the theory that is relevant to the conceptualization of time.In this chapter we shall present a concise, but somehow simplified version of the mathematical theory of musical gestures. We shall restrict our discourse to gestures in topological spaces, not the more general topological categories.There are three components of this theory, which are most important for the present discussion: the definition of gestures, the construction of hypergestures with the Escher theorem, and the definition of gestural morphisms, which entails the concept of the category of gestures that is crucial for our temporal conceptualization in Chapter 11.
A Practical Public Key Encryption Scheme Based on Learning Parity with Noise.

To ensure digital security and protection, it is basic to structure security and handy open key encryption plans. Today, huge information and distributed computing bring uncommon open doors as well as essential security challenges. Enormous information faces numerous security chances in the assortment, stockpiling, and utilization of information and brings major issues with respect to the revelation of private client information. It is trying to accomplish security and security assurance in the enormous information condition. Accordingly, to satisfy the developing need of open key encryption in this condition, we proposed a solitary piece open key encryption plot dependent on a variation of learning equality with commotion (LPN) and stretched out it to a multi-bit open key encryption conspire. We demonstrated the accuracy and picked plaintext assault security of the proposed technique. Our plans tackled encoding mistake rate issues of the current open key plans dependent on LPN, and the encoding blunder rate in our plans is immaterial. To meet the growing demand on security and privacy. It has been designed according to the basics of server and appropriated processing cryptographic techniques. Therefore the rate of data encryption is so sensitive and to be used as per the regulations of the algorithms that has been used within the rate of enormous information that has been used. With the use of data encryption gives the data utilisation giving some sort of difficult tasks which are to be further to be used as per required requirements. With the consideration of the large information condition different plans have been considered.
Penerapan Algoritma CAST-128 pada Proses Enkripsi dan Dekripsi Teks

Encoding was first made using a classic algorithm. This algorithm builds its security on the confidentiality of the algorithm used. However, this algorithm is inefficient when used to communicate with many people because the algorithm is still very simple and still very easy to solve, so important information or data that you want to keep secret can be easily discovered by other people or people who are not responsible. CAST-128 is a cryptographic algorithm that is said to be similar to the DES algorithm which uses 16 rounds of feistel network as one of its strengths. Where in the process of encryption and decryption of text CAST-128 uses a 64-bit block length and key lengths of up to 128 bits. For information, the CAST-128 algorithm is referred to as one of the strong cryptographic algorithms against various types of cryptanalysis, including differential and linear attacks. With the application of the CAST-128 algorithm in the process of encrypting and decrypting text, it will be more difficult to decode text encoded by people who do not know the key so as to create more security than the encoded text. So when the text wants to be sent or transferred to the flashdisk will be more confidential.
Ecolab supports sustainability education at US university

Ecolab Foundation – part of Ecolab Inc, which supports organisations and programmes that strengthen and enrich the community, in areas such as education, civic and community development, environment and conservation – has given $5 million to the University of Minnesota to support environmental sustainability research and education.
Model Comparison

This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called “hypothesis testing”) problems most frequently encountered in real-world applications.
Appendices

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.
Technology Defenses to Fight the Root Causes of Breach: Part Two

In this chapter, we continue our discussion of technology defenses and cover fighting third-party risk, software vulnerabilities, unencrypted data, and inadvertent employee mistakes.
Resolution agreement ends OCR's discrimination investigation

Case name: Letter to: Bloomsburg University of Pennsylvania , No. 03172077 (OCR 06/27/17).
Proceedings 36th International Conference on Logic Programming (Technical Communications)

Bitcoin is one of the first decentralized, peer to peer, payment systems based on the so-called Proof-of-Work (PoW).PoW is an algorithm that requires the computation of a hard function in order to gain access to a resource but, at the same time, the correctness of the computed result should be easily checked.The use of a PoW removes the necessity of a centralized third party and so the consistency of the network may be altered directly by the involved users.Peers, to solve the PoW more efficiently, usually organize themselves into mining pools, to increase the overall computational power: this situation, unfortunately, leads to a network centralization.In this paper we consider two typical scenarios of a Bitcoin network and we model them by probabilistic logic programming (PLP): the centralization of the hashing power by large pools and the "double spending attack".In the first one, we verify the effectiveness of a protocol that attempts to discourage the formation of large pools.In the second one, we compute the probability of success of an attacker.Both scenarios are modeled using the PLP package cplint.
Network Security System with Optimized Randomized Multiple Key Exchange Algorithm

This paper illustrates three different algorithms to provide shared secret key for security of the system. The proposed three algorithms namely 1) Modified Simple Password Key Exchange Scheme 2) Modified Diffie-Hellman Key exchange Scheme 3) Modified Elliptic Curve Scheme are meant to provide shared secret key for authentication process. Enhancements in terms of memory requirement, storage and other security properties such as authentication among mutual users, fraud prevention, attack etc., prove the validity of the proposed algorithms in proving authentication for the cryptographic identification of networks.
Sentimental Analysis on Twitter using Pig and Hive

Data science is the analytic process to explore new prediction and pattern when to process the collected data. Data analysis is done using large sets of databases and due to them we can easily form patterns and then they could be recognized. This will helpful for prediction of new challenges and circumstances. From the perspective of statistics data analysis of large observational databases has very challenges which made it a research area in abroad as well as in India. Different tools are available in market to process and analyze the large set of data for prediction of future trends and due to which knowledgeable decision should be created. Bigdata and hadoop are one of them. In this paper we have collected 5000 above tweets and then we have done pre-processing over it and then done sentimental analysis so as to get negative and positive tweets and then done prediction over it so as to get the people’s sentiments over a particular person.
A CHALLENGING ROLE OF INDIAN JUDICIARY AT CYBER SPACE TO CURB CYBER CRIME AGAINST WOMEN

The world has entered into a new millennium, but from the dawn of civilization till date, the woman of the patriarchal society of India continues to be oppressed and ill-treated.2 Crime against women have been increasing in all fields. In the era of digital revolution women are not safe at cyber space. In India cybercrime against women have been rapidly increasing in spite of special legislations to protecting women netizen. Judiciary played a vital role in the implementation of the law and its constitutional role to protecting the human rights as per the legislation. The most important duty of the court is to protect human rights, and to give relief to the victim.3The main object of this paper is to analyse the role of Judiciary at cyber space to curb the cybercrime against women in India. This paper is commence with cyber crime’s definition and brief view about that. It also focus on kinds of cybercrime against women in India and brief view on cyber legislation.
Before You Start

In this chapter, we look at all aspects of VR production from a conceptual side. This includes fundamental question on VR as a medium, ways to understand the role of VR opposed to other media types, and the process of bringing ideas into a VR format, including approaches on how to align one’s mindset with the technical side, as being productive with visual scripting based on an object-oriented paradigm.
Penerapan Fuzzy Logic Dalam Meprediksi Tingkat Kriminalitas Remaja

Adolescence is a period of development of children both sexually and will end until the child is legally mature. These changes will be followed by puberty and will have good and bad effects according to the education and the environment they live. At this time a lot of adolescents are involved in acts of delinquency that lead to acts of crime. Juvenile crime referred to in this study is a criminal offense committed by adolescents with the majority of irregularities occurring in adolescents under the age of 21 years. Factors taken in this study are family, relationships, school environment and the internet. If these aspects do not work out of balance it will trigger a high level of crime in adolescents. So the need for government participation in suppressing high crime rates. Problem solving using the Mamdani method is to determine the input variables and output variables which are a firm set, the second step is to change the input variables into a fuzzy set with the fuzzification process, then the third step is processing fuzzy set data with a minimum method. And the last or fourth step is to change the output into a firm set with the defuzzification process with the centroid method, so that the desired results will be obtained on the output variable. This method uses constants or mathematical functions of the input variables in the defuzzification process using a centralized average method.
Birkhin volcanoplutonic association, Ol’khon region, western baikal area: petrological criteria of comagmatic origin

This paper reports the results of thermodynamic modeling of the formation of the Birkhin volcanoplutonic association by means of geochemical thermometry. The obtained liquid line of descent for the magma chamber of the Birkhin massif indicates that the melt evolved into the field of subalkaline composition. The melts of the volcanics of the Tsagan-Zaba complex are identical to the melts in the magma chamber in both major components and REEs. It was concluded that the Birkhin and Tsagan-Zaba complexes are comagmatic. A scenario was proposed for the development of the Birkhin volcanoplutonic association involving multiple eruptions of volcanic rocks during its formation. It was shown that the intermediate rocks are not derivatives of basic magmas, but were produced by interaction of basic volcanic rocks with felsic intrusions cutting them.