Reviewerly/exHarmony huggingface dataset:
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Implementasi Model Pembelajaran Cooperative Integrated Reading And Composition (CIRC) Untuk Meningkatkan Keterampilan Menulis Ringkasan Pada Siswa Kelas V SDN 2 Nyuhtebel

This research was conducted at SDN 2 Nyuhtebel in Class V where the ability of students for Indonesian subjects especially summary writing skills was quite low. This study aims to improve the results of writing summary skills using Cooperative Integrated Reading and Composition (CIRC) learning models for fifth grade students of SDN 2 Nyuhtebel. In the Indonesian Language class V students who have not been able to reach the KKM that has been determined by the teacher. This type of research is classroom action research. The subjects in this study were the fifth grade students of SDN 2 Nyuhtebel, totaling 17 students. Data collection techniques in this study through evaluation and observation tests during the learning process. Analysis of the data in this study used descriptive qualitative to explain the observation sheet and quantitative to explain the results obtained by students.The results of the study are that the use of Cooperative Integrated Reading and Composition (CIRC) learning models can improve the results of summary writing skills in fifth grade students of SDN 2 Nyuhtebel as follows: initial conditions or pre-action average results of writing summary skills reach 67.29 with completeness 17 , 65% of 3 students with a score above the specified KKM was 75 then given action in cycle I an increase of 6.42 the difference was calculated from the average results of the writing skills summary cycle I reached 73.71 with completeness of 52.94% out of 9 new children reaching a value of ≥ 75 that has been set, because it has not reached ≥75% then the action is continued in cycle II, where there is a significant increase in the average value of the results of writing summary skills that is 78.29 with completeness 94.12% of 17 students, 16 students who achieved ≥ 75 results with conditions in the first cycle were 73.71. So the action is stopped in the second cycle because completeness has been achieved ≥ 75%.
A probabilistic analysis of connected component sizes in random binary images (Conference Presentation)

This paper addresses the problem of determining the probability mass function of connected component sizes for independent and identically distributed binary images. We derive an exact solution and an effective approximation that can be readily computed for all component sizes.
Attribution Among Students Towards their Success and Failure as a Learning Stimulus.

This research paper explores the perceived causes of attribution about children’s success and failure in their education. The significance of the study strengthens learners to continue their learning process without dissonance. This is an exploratory as well as explanatory research to explore the role of attribution to enhance the learning abilities of students in the classroom through avoidance and repetitive behavior. The researchers have adopted a qualitative method of study. The universe of the present research was Karachi. The respondents were the students of the standard, VIII, and X. The age of subjects was 13-16 years. The sample size of the present research was 150 respondents. In the present study, the researchers have used an Intellectual Achievement, Responsibility Questionnaire (IARQ) developed by Crandall et. al (1965). The IARQ is composed of 34 forced-choice items which describe Carver & White (1994) BIS (I-) /BAS (I+) scales, The BIS (I-) /BAS (I+) scales a positive, BAS (I+) and negative, BIS (I-) achievement experience which routinely occurs in children’s lives. The whole scale was applied to maintain the validity of the scale except the filler questions. Scale is depicting 20 items to inquire deeply the behavior of students towards their success and failure as stimuli of learning behavior.
The importance of teacher’s diagnostic competences for students’ development

The article focuses on the issue of teacher’s diagnostic competence. In order to emphasize the importance of the issue and to encourage scientifi c discussion, the value of the contemporary teacher’s pedagogical competences was pointed out, among which diagnostic competence was highlighted. Then the importance of diagnostic competence in working with the student and the consequences of its lack, which is the student’s marginalization, were determined. The conclusions indicate the implications for educational practice.
Evaluating the variance in convolutional neural network behavior stemming from randomness

Deep neural networks are a powerful and versatile machine learning technique with strong performance on many tasks. A large variety of neural architectures and training algorithms have been published in the past decade, each attempting to improve aspects of performance and computational cost on specific tasks. But the performance of these methods can be chaotic. Not only does the behavior of a neural network vary significantly with respect to small algorithmic changes, but the same training algorithm, run multiple times, may produce models with different performance, due to multiple stochastic aspects of the training process. Replication experiments in deep neural network design is difficult in part for this reason. We perform empirical evaluations using the canonical task of image recognition with Convolutional Neural Networks to determine what degree of variation in neural network performance is due to random chance. This has implications for network tuning as well as for the evaluation of architecture and algorithm changes.
Library Licensing: A Manual for Busy Librarians

"Library Licensing: A Manual for Busy Librarians." Journal of Electronic Resources in Medical Libraries, 17(1-2), pp. 58–59
PENERAPAN METODE SAS BERBANTUAN KARTU HURUF BERWARNA UNTUK MENINGKATKAN HASIL BELAJAR MEMBACA PERMULAAN SISWA KELAS I SD NEGERI 8 ABABI

This research was conducted with the aim of improving the learning outcomes of Beginning Reading through the Application of Synthetic Analytical Structure Method assisted by colored letter card media in Class I Students of SD Negeri 8 Ababi Semester II, Academic Year 2017/2018. The subjects of this study were 7 students in Class I Semester II SD Negeri 8 Ababi. For the purposes of data collection the performance test method is used. The data obtained were analyzed using descriptive statistical analysis techniques. Based on the analysis of the data it can be concluded that the application of the SAS method assisted by colored letter media can improve student learning outcomes in reading the beginning of grade I students of SD Negeri 8 Ababi in the second semester of the academic year 2017/2018. The success was shown by student learning outcomes in reading increased from pre cycle of 55.36 increased in cycle I to 64.29 and increased in cycle II with the acquisition of 75.36. The success of this study deserves to be recommended as a reference material for similar research in the future
Dark social: The biggest missed opportunity in digital marketing

Following the widespread adoption of closed social media apps, marketers can no longer easily track outbound sharing of website links, or inbound traffic resulting from those shares — so-called dark social. This social traffic is misclassified in Google Analytics as ‘direct’, and little is currently known about its volume or relative behaviour, and therefore how to manage it effectively. This study aims to contextualise the typical contribution of the direct channel to total website reach, identify the relative contribution of (true) direct traffic and estimate the volume of dark social traffic. Traffic flows totalling over 3 million hits wereobserved over two years on five websites. The results suggest that the direct channel can contribute over one-third of total traffic and, according to the authors’ estimate, an inbound dark social component of almost one-fifth. This is little understood at present, and the article proposes a future research agenda to develop theory in the area.
An Improved Algorithm for Counting Graphical Degree Sequences of Given Length

We present an improved version of a previous efficient algorithm that computes the number D(n) of zero-free graphical degree sequences of length n. A main ingredient of the improvement lies in a more efficient way to compute the function P(N, k, l, s) of Barnes and Savage. We further show that the algorithm can be easily adapted to compute the D(i) values for all i ≤ n in a single run. Theoretical analysis shows that the new algorithm to compute all D(i) values for i ≤ n is a constant times faster than the previous algorithm to compute a single D(n) value. Experimental evaluations show that the constant of improvement is about 10. The techniques for the improved algorithm can be applied to compute other similar functions that count the number of graphical degree sequences of various classes of graphs of given order or size and that all involve the function P(N, k, l, s).
An improved co-designed AES-ECC cryptosystem for secure data transmission

Asymmetric cryptography is inherently slow because of its associated complex computing, while symmetric cryptography is speedy. However, the latter is suffering from a serious gap which is secure key exchange. To deal with this problem, we suggest an efficient hybrid AES-ECC cryptosystem combining the benefits of the symmetric advanced encryption standard (AES) to speed-up data encryption and the asymmetric elliptic curve cryptography (ECC) to secure the symmetric key session interchange. The proposed hybrid AES-ECC cryptosystem uses a co-design approach and relies on AES-ECC optimisations. We fundamentally mix the matrix multiplication of the AES MixColumns with the S-box allowing for very fast software implementation (on NIOS-II processor). Then, we propose an optimised ECC hardware architecture based on López-Dahab scalar multiplication (on Cyclone IV.E). The implementation results of the proposed cryptosystem afford an interesting trade-off between area, speed, and power and can be used for information and computer security.
Bio-Aesthetics: The Production of Life in Contemporary Art

Bio artists experiment with the notion of a demiurgic creativity. Their works not only simulate life but are actually alive. They design unnatural animals. They recombine DNA in laboratories that are identical to ones in research institutions. They grow tissue outside of bodily boundaries, build robotic creatures with animal parts, mother non-human animals outside their “natural” environment, or they initiate do it yourself backbreeding projects. Even though the artists usually claim to take responsibility for their creations, they only seldom recognize the agency of the involved non-human protagonists. Artist, technology, and the lifelike/living creation have to be understood as situated in a relational network that shapes and organizes the aesthetic outcome sympoetically. Though some of the projects only exist as thought experiments, they nevertheless raise issues about human hubris and question conventional definitions of art and science as well as traditional understandings of life in its morphological and ontological plasticity. In a biopolitical reading of the making of (quasi-)life in contemporary art, I query the limits and ethics of a creative practice in which artists vest themselves with the authority “to make live and to let die.”
Aplikasi Pengarsipan Surat Untuk Peningkatan Pelayanan Desa Bumi Arum

Archives are determinants in the process of implementing agency tasks, especially in government agencies that are oriented towards providing services directly to the public (public). In the world of work and government today technology is the main point in carrying out all work activities using existing resources, namely computers and internet networks. for the system development method in the archive management system in this study is the Waterfall model. Waterfall Model or also called linear sequential model proposes an approach to the development of systematic and sequential software starting at the level and progress of the system in analysis, coding design, testing and maintenance. The implementation of an Android-based filing application can be built and run well on Android for the BumiArum office hall and the BumiArum village community. From a research that the researcher did has produced an Archiving Application in BumiArum Village which helped a little more in processing archives in the BumiArum summit office.
Assessing E-Security Behavior among Students in Higher Education

This study was conducted in order to assess the E-security behavior of students in a large higher educational institutions in the United Arab Emirates (UAE). Specifically, it sought to determine the current state of students' E-security behavior in the aspects of malware, password usage, data handling, phishing, social engineering, and online scam. An E- Security Behavior Survey Instrument (EBSI) was used to determine the status of security behavior of the participants in doing their computing activities. To complement the survey tool, focus group discussions were conducted to elicit specific experiences and insights of the participants relative to E-security. The results of the study shows that the overall E-security behavior among students in higher education in the United Arab Emirates (UAE) is moderately favorable. Specifically, the investigation reveals that the students favorably behave when it comes to phishing, social engineering, and online scam. However, they uncertainly behave on malware issues, password usage, and data handling.
The Application of Attention Mechanism in Semantic Image Segmentation

Image semantic segmentation technology has been greatly developed, and the application of attention mechanism to semantic segmentation has become a new research and development direction. We investigated the application of attention mechanisms in image semantic segmentation in recent years. According to its subdivision, it can be divided into a method based on attention region segmentation and a method based on pixel attention segmentation. The method based on pixel segmentation can also be subdivided into full-supervised attention mechanism segmentation and weak supervisory attention segmentation. We also summarize the semantic segmentation datasets in recent years and summarize the frequency of use for readers. Finally, we summarize the general direction of the semantic segmentation of attention mechanisms and future trends.
Book review: Kararach, G., Besada, H. and Shaw T.M., editors, 2016: Development in Africa: Refocusing the Lens After the Millennium Development Goals

Kararach, G., Besada, H. and Shaw T.M., editors, 2016: Development in Africa: Refocusing the Lens After the Millennium Development Goals. Bristol, UK: University of Bristol Policy Press. 411 pp. $36.95. ISBN: 9781447328544 (paperback).
The effect of virgin nylon addition into recycled nylon on the fatigue strength of thermoplastic nylon denture base

Introduction: Thermoplastic nylon denture base is processed through injection molding process. This manipulation technique produces non-biodegradable nylon wastes which have to be recycled. Recycling of nylon wastes is feasible due to the linear molecular structure of thermoplastic nylon. This study aimed to know the effect of adding virgin nylon into recycled nylon on the fatigue strength of thermoplastic nylon denture base. Methods: This research was experimental laboratory research using 27 samples of thermoplastic nylon with three different groups (100% virgin nylon, 100% recycled nylon and combination of 60% of virgin nylon with 40% of recycled nylon) using injection molding technique. The test results were analyzed using one-way ANOVA test to know the differences in the mean value of the fatigue strength of each group and LSD test to know the effect of adding 60% of virgin nylon into 40% of recycled nylon. Resuts: Results showed significant results (p &lt; 0,05), as well as LSD test that showed there is effect of adding 60% of virgin nylon into 40% of recycled nylon on the fatigue strength of thermoplastic nylon denture base. Conclusion: The combination of 60% of virgin nylon with 40% of recycled nylon showed higher fatigue strength than the recycled nylon.
AN INVESTIGATION OF INTERLINGUAL AND INTRALINGUAL INTERFERENCE FOUND IN ENGLISH AS A FOREIGN LANGUAGE (EFL) STUDENTS’ COMPOSITION OF RECOUNT TEXT

Due to the complexity of writing skill, EFL students, especially in Aceh, face a lot of problems in composing a text such as a recount text resulting in abundant errors of both interlingual and intralingual interferences. Considering this, this study aims at identifying the types of interlingual and intralingual errors committed by the students in writing recount text. Based on the results found in the written samples collected from 60 students, it was found that from 16 sorts of error categories, the students committed 1143 occurrences of errors. The types of interlingual errors collected were in reference to orthographic errors, lexical errors, and grammatical errors, while the type of intralingual errors was overgeneralization, ignorance of rule restriction, incomplete application of rules, and false concepts hypothesis. All of these were caused by the lack of vocabulary and having no idea of the right words for their ideas, and hence, they just directly translated their story literally from bahasa to English. Therefore, both teachers and students should be aware of this condition. Moreover, the creativity of the teachers in enhancing students’ vocabulary and using it in context is truly required. Hence, these problems can be resolved in the best way.
International Journal of Advanced Networking & Applications (IJANA)

The International Journal of Advanced Networking and Applications (IJANA) would aim to provide an interactive and dynamic forum for professionals, researchers and academicians for knowledge sharing and dissemination especially innovations and strategies as applied to information and communications technologies, applications.
Federal Agencies Can Get Your iPhone Data without Apple’s Help

Engineers at Belkasoft, leading digital forensic tools developer, recently implemented advanced and far-reaching data acquisition capabilities in the latest Belkasoft Evidence Center release. The new functions in this product allow for forensic extraction of data from the vast majority of iOS devices based on the new checkm8 exploit. Forensic investigators traditionally find it difficult to extract data from Apple iOS devices-consisting of iPhones, iPads, and iPods-because such devices do not provide access to their file systems. The new checkm8 exploit is set to be a game changer!
A new encrypted image retrieval method based on feature fusion in cloud computing

The traditional image retrieval has high requirements on the computing power and storage capacity of the platform, so the cloud server has become the preferred choice for outsourcing image retrieval. However, the cloud server is not completely reliable, and outsourcing image retrieval may bring many security, low retrieval accuracy, and privacy problems. In this paper, an encrypted image retrieval method based on feature fusion is proposed. Firstly, the images are encrypted by the encryption operator. Then, the feature extractor is designed, and the enhanced RGB feature and HSV histogram feature are extracted. Finally, the feature extractor and encrypted images are uploaded to the cloud server. The computation of similarity between images is done in the cloud. The experiments and security analysis show that the proposed method has good security and accuracy.
Crop Aggregating for short utterances speaker verification using raw waveforms

Most studies on speaker verification systems focus on long-duration utterances, which are composed of sufficient phonetic information. However, the performances of these systems are known to degrade when short-duration utterances are inputted due to the lack of phonetic information as compared to the long utterances. In this paper, we propose a method that compensates for the performance degradation of speaker verification for short utterances, referred to as aggregation. The proposed method adopts an ensemble-based design to improve the stability and accuracy of speaker verification systems. The proposed method segments an input utterance into several short utterances and then aggregates the segment embeddings extracted from the segmented inputs to compose a speaker embedding. Then, this method simultaneously trains the segment embeddings and the aggregated speaker embedding. In addition, we also modified the teacher-student learning method for the proposed method. Experimental results on different input duration using the VoxCeleb1 test set demonstrate that the proposed technique improves speaker verification performance by about 45.37% relatively compared to the baseline system with 1-second test utterance condition.
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКАЯ АДАПТАЦИЯ ПОДРОСТКОВ С РАЗНЫМ УРОВНЕМ ТВОРЧЕСКИХ СПОСОБНОСТЕЙ

The work presents the results of an empirical study on the analysis of the features of socio-psychological adaptation of adolescents with different levels of creativity.
DCU team at the 2019 insight for wellbeing task: multimodal personal health lifelog data analysis

In this paper, the authors described their proposed method in analyzing lifelog data in association with the environment. Tackling the problem of incomplete data, we proposed a replacement method using linear regression method which results in a normalized L2 distance score of 0.0153. Meanwhile, the authors solved the personal air quality subtask by inferring from lifeloggers’ PM2.5 data, which achieves 1.0 in the arithmetic mean of absolute distance score between the predictions and the actual classes.
Risk Catalogs in Software Project Management

The software industry is continuously growing, and projects need to be planned to have a better chance of success. But, planning errors in a project can cause the project to fail. These errors, when there is damage/loss or gain, are called risks and need to be managed. Inadequate risk management can lead to project failure. Therefore, risk management in software design is crucial to its success. In this paper, through research in the literature, catalogs of risks that may occur during the development of software projects are presented. Besides, there are measures defined/identified in the literature to support decision making by project managers, using the GQM method.
Infographics as a means of solving the problem of clip thinking

The article demonstrates how you can use infographics in the educational process as a means of solving the problem of clip thinking. The concept of clip thinking is given, its features in modern schoolchildren are indicated, the problems of clip thinking are analyzed. The concept of infographics as a means of presenting visual information is considered, as well as the types of infographics used in the educational process. The variants for using infographics in the educational process and the formats of the work of teacher and student with infographics are presented. Conclusions are drawn about the effectiveness of using infographics, as well as about those pedagogical tasks that can be solved by using infographics in the educational process.