Reviewerly/exHarmony huggingface dataset:
Exploring the Complex Relationships among Reasoning, Content Understanding, and Intuition in Physics.

National Science Foundation (NSF) (Grant Nos. DUE-1431857, DUE-1431541, DUE-1431940, DUE-1432765, DUE-1432052, and DRL-0962805)
SMARTnet™ - An Update

Operation of satellites and research of their orbital regions depend on both modelling e. g. of the environment and data banks consisting of objects with preferably high accuracy ephemerides and, if possible, completeness of the number of objects in this region. If concentrating on the geostationary regime, it is assumed that a detection size of an object of 30cm or larger is sufficient for the aforementioned topics. It is of international interest to exchange and access this data on a low cost basis. For this reason, SMARTnet™ was developed, allowing for interchanging data, especially tracklets, within the community of sensor owners or sensor operators on a no exchange of funds basis. The first contributors to SMARTnet™ are operating optical telescopes and produce tracklets. In this context, a tracklet is a series of the angle pair right ascension and declination including the corresponding epoch of a single object. In 2017, SMARTnet™ was opened for international cooperations. The main objective of SMARTnet™ is the exchange of tracklets, allowing for each participating entity to develop own catalogues, own algorithms, and own products. Since then, Applied Defense Solutions has joined SMARTnet™ and is the first Partner. A basic statistic of the data available through SMARTnet™ is shown as well as first results with respect to a first data bank of objects, which can be derived from this data.
Libraries and language preservation: A defining generational moment

This column proposes that schools of Library Science (as well as Museum Studies and related disciplines) can contribute to language preservation and advance their own financial interests by presenting themselves as key collaborators in language preservation to governments and NGOs. By funding such programs, especially in the form of grants and scholarships for minority-language students, Library Science programs can make a significant impact on language preservation, maximizing return on the limited budgets afforded to such projects.
Improved Forensic Recovery of PKZIP Stream Cipher Passwords

Data archives are often compressed following the PKZIP format and can optionally be encrypted with either the PKZIP stream cipher or the AES block cipher. In this article, we present new implementations of two attacks against the PKZIP stream cipher. To our knowledge, this is the first time those attacks have been demonstrated on Graphical Processing Unit (GPU). Our first implementation is retrieving archive passwords using the internal state of the PKZIP stream cipher obtained through the known-plaintext attack of Biham and Kocher. Passwords up to length 14 can be recovered within a month considering a single Nvidia 1080 Ti GPU. If one hundred of those cards are available, passwords up to length 15 would be recovered in less than 27 days. The second implementation is a more direct attack designed to retrieve an archive’s password without requiring any additional knowledge than the ciphertext. Experimental results show that our two implementations are at least ten times faster than the state of the art. This is an undeniable asset for investigators who may be particularly interested in further deepening their forensic analysis on an encrypted archive.
Autocuidado em pessoas com diabetes mellitus tipo 1: vivências de adolescentes

Objective: This study aimed to identify the adolescents’ experiences in the management of diabetes mellitus, regarding self-care. Methods: It is a descriptive research with a predominantly qualitative approach, which was carried out in a referral hospital in the assistance to patients with diabetes mellitus, located in Fortaleza city, Ceara State, Brazil. Fourteen adolescents bearing diabetes mellitus, within an age group from 12 to 18 years old, have participated in the study through semi-structured interviews. Results: The interviews were submitted to content analysis in order to identify the categories. After analysis, the following three thematic categories emerged: the first is related to patients who have demonstrated adherence to self-care; the second regarding the dilemmas of being an adolescent with diabetes; and the third concerning the actions of health professionals and the patients’ relatives for the self-care management of adolescents. Conclusion: This research performed with adolescents bearing diabetes has revealed the importance of supported self-care as an instrument that can be worked out by both professionals and family, thus encouraging the treatment adherence.
Case Studies in Computational Biomedical Research

Reproducibility in computational research is challenging because of the power of modern computers and algorithms, particularly machine learning where solutions are achieved but without explanation or understanding. Successfully mimicking a biological phenomenon is not evidence of success. The same solution can often be effected with many different algorithms, raising issues of biological plausibility. Reproducibility cannot be viewed as coming to the same solution. Computational simulations have meaningfulness when they provide new insights that suggest biologically testable hypotheses. The versatility of optimizing algorithms needs strong biological constrains. Simulations are most informative if the algorithm is one of the few possible means of the solution. Alternatively, when any number of algorithms can arrive at the solution but some commonality may suggest a mechanistic principle. Further, digital computations are prone to many sources of electronic and mathematical “noise” such that the same application may yield irreproducible results, runtime errors that easily escape detection.
Misalignment-Robust Pedestrian Detection Framework for Visible and Far-Infrared Image Pairs

Inspired by recent progresses of hardware technologies of consumer electronics, joint use of visible and far-infrared (FIR) images becomes more common for various applications such as pedestrian detection. In actual situation, there is misalignment between the visible and FIR images, because the axis of these two cameras are different. Although various existing pedestrian detection algorithms have been proposed, the existing methods are sensitive to the misalignment because these methods assume that the input visible and FIR image pair is strictly aligned. This paper presents a novel misalignment-robust pedestrian detection framework for the visible and FIR image pairs. The keys of the proposed framework are the following two points: 1) a set of perturbed FIR images is used to contain the aligned visible and FIR image pair, and 2) our proposed framework employs a merged criterion that combines a learning-based detection approach and a image-processing-based similarity measure. Experimental results on the real image dataset show that the proposed framework outperforms existing methods in terms of log-average miss rate.
Extended Scheme Mediation Integration Model for Information Systems Project Proposal

The demand for semantic sharing between information systems is steadily growing in virtually all business domain. In fact, these systems form the basis of business management, lead economic and decision-making strategies, and manage communication with partners. Interoperability has become a priority requirement to and in order to meet the needs of applications have autonomy, scalability, transparency and extensibility characteristics which is crucial for data conflicts not to hamper efforts to integrate and transparently share information from a variety of sources. Research has shown that the evaluation of data semantics is a promising approach to dealing with this problem. This work presents the project of creating a model based on mediation of schemas to facilitate the understanding of shared data and help to identify and adapt data relevant to the user context.
Information Security Awareness on Data Privacy in Higher Education

There is always a negative aspect of a technology utilization. Security issues become a serious problem in information technology. The development of information technology makes access to data privacy is very important to note. The purpose of this study is to analyze and measure students understanding of the importance of understanding the privacy policy on public services. The method used in this research is survey method. The survey is done by collecting data of student survey result. This study was conducted face-to-face with the respondents and online. The results of this study indicate that 78% of students who are the majority of respondents realize the importance of private security in public services. Respondents are also aware of the risks that can occur if a violation of the privacy policies of others. Yet 65% of respondents feel unconcerned about their private security. Why? because respondents do not know how to maintain their privacy data and tools that can use which can make the data safe.
Students’ Perceptions towards The Utilization Of “Whatsapp” for Vocabulary Teaching and Learning

Society has enjoyed the ease of communication afforded by “Whatsapp”, a popular freeware and cross-platform communication application. “Whatsapp”’s popularity has invited educators to experiment with it in various ways to shore up education. This study was conducted to describe students’ perceptions on the use of “Whatsapp” for teaching and learning vocabulary. A vocabulary virtual class in the form of a “Whatsapp” group where students needed to enroll was created for that purpose. This virtual class exempted the students from physically attending the physical class as it enabled students to remotely attend the class. Teaching and learning methods of vocabulary in the virtual class included using pictures, translation, and sentence construction. At the end of the class, the students were to inform the researchers about their perceptions of the virtual class. This study used a descriptive qualitative method. Data was collected through a paper-based questionnaire, which was distributed to all students in a face-to-face class, a session taking place two days prior to the research. The virtual vocabulary class that the researchers administered overall received positive feedbacks from the learners. However, teaching and learning vocabulary using “Whatsapp” also had its own drawback.
The Influence of Wushu Training on the Neuroscience of Brain Electroencephalogram under Ecological Environment

Studies have shown that Wushu training can induce the slow wave activity rhythm of cerebral with high amplitude, which is beneficial to people’s physical and mental health and stable nerves. In order to further explore the influence of Wushu training on the human brain electrical nerve, according to the theoretical design experiment for the influence of the head down tilt on the brain electrical activity, the EEG data of the shooting athletes after handstand training of Wushu and the Taijiquan training are obtained. The experimental data show that there are significant differences in the power value of α and β frequency band of the cerebral nerve, the index of EEG coherence function, the comprehensive index of EEG after the handstand training and the posture of sitting. The indexes of the athletes’ EEG are significantly higher than those before the handstand training, indicating that the handstand training of Wushu has a positive effect on the human brain electricity. After the Taijiquan training, the power value of the slow wave of athletes’ brain nerve (δ, θ wave) decreased, the power value of the fast wave (β wave) increased, indicating that Taijiquan training helps the coordination operation of the brain on both sides of the body.
UPAYA MENINGKATKAN HASIL BELAJAR SISWA DALAM MATA PELAJARAN IPS MELALUI METODE PEMBELAJARAN PENEMUAN TERBIMBING PADA SISWA KELAS V.A SDN 26 PAINAN

ABSTRACT Based on the learning outcomes of Class V.A SDN 26 Painan students in social studies subjects it was found that student learning outcomes in social studies subjects were still very low. The average student learning outcomes are still under the KKM. The purpose of this study was to describe and obtain information about efforts to improve student learning outcomes in social studies subjects through the Guided Discovery Learning Method in Class V.A SDN 26 Painan South Coastal District. This research is a classroom action research. The procedure of research in this study includes planning, action, observation and reflection. This study consisted of two cycles with four meetings. The research subjects consisted of 33 students of Class V.A SDN 26 Painan. Research data was collected using observation sheets and daily tests. Data were analyzed using percentages. Based on the results of research and discussion that have been put forward, it can be concluded that the Guided Discovery Learning Method can improve student learning outcomes in social studies subjects at SDN 26 Painan. Student learning outcomes from cycle I to cycle II. Student learning outcomes in the first cycle were 51.97 (Enough) increased to 83.67 (Good) with an increase of 31.70%.
LibGuides: CIS492/MIS492 Senior Seminar: Databases with CIS Journals

Locate and Identify recent peer reviewed articles from primary and secondary sources. Find articles on topics related to Computing and Information Science
ABOUT RESEARCH METHODS IN MANAGEMENT PSYCHOLOGY

The analysis of psychological methods currently used for successful personnel management is given. Analysis of the empirical data of the study allowed determining the actions and measures to identify and eliminate the shortcomings in the professional activity of the future leader. Particular attention is paid to the types of intangible motivation. In conclusion, it is concluded that there is no single rule or the best method of motivation. Often, intangible methods of reward help to achieve the desired result much faster than cash payments. The most correct decision for a manager is to use a set of measures aimed at stimulating the work of the staff.
Image Tag Completion by Applying SPFCM Clustering on the Features Learned by Deep Convolutional Neural Networks

Image tag completion is a process that aims to simultaneously enrich the missing tags and remove noisy tags. many of the images have vague, incomplete and irrelevant tags. These untrusted tags, reduce the accuracy of image retrieval. Hence, in recent years, many tag completion algorithms have been proposed in order to access to the tags associated with the content of images. Due to the effectiveness of deep learning in many research fields, in this paper a deep convolutional neural network has been used to extract suitable visual and semantic features of images. Also, considering the challenges involved in loading a large-scale image databases in memory, a Single Pass Fuzzy C-Means clustering algorithm is used in order to compute visually similar images and refining the image’s tags according to similar samples. The results show the effectiveness of proposed approach in images tag completion.
Robot Racing Challenge at Michigan State [Student Corner]

Presents information on the RAS society Robot Racing Challenge at Michigan State.
한국어 교사의 ‘질문하기’에 따른 학습자의 ‘응답하기’ 양상 분석 연구

Teachers’ statement is so important in korean language education that someone can say that teachers’s statement initiates korean language education. teachers’ statement plays a role in providing korean language based contents for learners and inducing korean language learners’ statement. Through teachers’ statement, interaction between teachers and student could be made. teachers’ ‘questioning’ statement is the starting point of this interaction between teachers and student. Based on the assumption that teachers’ ‘questioning’ statement is important, this study analyzed conversation transcription data which is done in korean language learning class. teachers’ questioning types are classified by forms and purposes. Following learner’s responses are analyzed based on forms and suitabilities. it has been found that forms of teachers’ questioning was composed of an alterative question, what-question, wh-question (except what-question) from highest to lowest. it has been found that purpose of teachers’ questioning was composed of from highest to lowest. it has been found that forms of students’ responses was mainly composed of individual responses compared to the 29% of no responses to teachers’ statement. About 81% of students show appropriate answers to teachers’ statement. By analyzing dialogue between teachers and students, aspect of interaction between teachers and students was identified. It seems that follow-up studies dealing with students’ statement types and effects affected by teachers’ statement types and purposes will be needed.
If anyone at yesterday's @IndieWebCamp Online profile ...

If anyone at yesterday's @IndieWebCamp Online profile section who said they didn't know how to write an About Me or copy for a static homepage
Web Request Predictions

If one could predict future web requests, it would be possible to make the web much faster. One could fetch web resources before they are needed. When the human user clicks on a link, the needed data would already have been downloaded. We have created several algorithms that attempt to predict future web requests based on past histories. Our research evaluates and compares these prediction algorithms against real histories of web usage. Prediction algorithm results are compared based on correct predictions, erroneous predictions, and prediction rate. Some algorithms make predictions rarely but accurately, while others may predict more often but with less accuracy. To take full advantage of this, we combine multiple algorithms and use different voting strategies to determine the best prediction.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SHARE UNTUK MENINGKATKAN HASIL BELAJAR IPA SISWA KELAS IV SD NEGERI 004 SEBERANG TELUK HILIR KECAMATAN KUANTAN TENGAH KABUPATEN KUANTAN SINGINGI

This research is motivated by the results of learning science in fourth grade elementary school students who are still low. The purpose of this study was to improve the learning outcomes of science by applying the Cooperative Think Pair Share (TPS) type learning model. The results showed, seen from the basic score, students who completed as many as 11 people with a percentage of 47.82% while students who did not complete amounted to 12 people with a percentage of 52.17%. cycle I, students who completed at 17 people with a percentage of 73.91% while students who did not complete as many as 6 people with a percentage of 26.08%. cycle II, students who completed as many as 20 people with a percentage of 86.95% while the incomplete amounted to 3 people with a percentage of 13.04%. from the results of this study it can be concluded that by applying the cooperative learning model the Think Pair Share (TPS) type can improve the science learning outcomes of class IV elementary school 004 Seberang Teluk Hilir Kuantan Tengah District Kuantan Singingi Regency.
Exploring the Limitations of the Convolutional Neural Networks on Binary Tests Selection for Local Features

Convolutional Neural Networks (CNN) have been successfully used to recognize and extract visual patterns in different tasks such as object detection, object classification, scene recognition, and image retrieval. The CNNs have also contributed in local features extraction by learning local representations. A representative approach is LIFT that generates keypoint descriptors more discriminative than handcrafted algorithms like SIFT, BRIEF, and SURF. In this paper, we investigate the binary tests selection problem, and we present an in-depth study of the limit of searching solutions with CNNs when the gradient is computed from the local neighborhood of the selected pixels. We performed several experiments with a Siamese Network trained with corresponding and non-corresponding patch pairs. Our results show the presence of Local Minima and also a problem that we called Incorrect Gradient Components. We pursued to understand the binary tests selection problem and even some limitations of Convolutional Neural Networks to avoid searching for solutions in unviable directions.
The Hand and Glove Puppet in Teaching English as Foreign Language

The objective of this research was to find out whether or not it was significantly difference achievement between the tenth grade students of MA Negeri 1 (Model) Lubuklinggau who were taught speaking by using Hand and Glove Puppets and those who were not taught speaking by using Hand and Glove Puppets. The researcher used quasi-experimental research. The sample of this research was taken by using cluster random sampling with 30 students in the experimental group, and 30 students in the control group taken from two classes of the tenth grade students of MA Negeri 1 (Model) Lubuklinggau. Based on the result of the data analysis there were three major findings namely: (1) the students’ score in the pre-test, (2) the students’ score in the post-test, and (3) the result of paired T-Test calculation. The mean score in the pre-test of the Experimental group was 63.88 and the mean score in the pre-test of the Control group was 49.77. While, the mean score in the post-test of the Experimental group was 72.44 and the mean score in the post-test of the Control group was 56.21 The result of paired t-test calculation shows that tobtained was 7.70 in the pre-test of the experimental and control group and 8.91 in the post-test of the experimental and control group. It was higher than 2.045 as the critical value of the ttable of degree of freedom 29 with 0.05 significant level for two-tailed test. So, the null hypotheses was rejected and the alternative hypotheses was accepted. It meant that it was effective to teaching speaking by using Hand and Glove Puppets to the tenth grade students of MA Negeri 1 (Model) Lubuklinggau.
Communication Strategies of Information Society in Interdisciplarnary Paradigm

The article analyzes a number of modern characteristics of the information society and shows the need to take into account interdisciplinarity in the formulation of communication strategies. Accounting for the interdisciplinary factor of the strategy is based on the concept of information culture.
Security Analysis in the Internet of Things: State of the Art, Challenges, and Future Research Topics

Internet of Things is a big new technology that will make new future concepts and technologies. The work of this paper is to a brief survey security analysis in the internet of things. We provide an overview and discuss a qualitative way the recent development of the most relevant security field in the context of the internet of things (IoT). It outlines the key characteristics of the security analysis and summarizes various representative studies for IoT, including Blockchain. An important focus is the inclusion of how value is extracted from the security in the IoT. We also discusses some recent techniques for the existing activities and future opportunities related to the security in the internet of thing, outlining some of the key underlying issues that need to be tackled.