Reviewerly/exHarmony huggingface dataset:
Efektivitas Penggunaan Media Gambar Dalam Layanan Informasi Meningkatkan Interaksi Sosial Siswa SMPN 34 Pekanbaru

This research aimed at knowing the effectiveness of using Picture media on information service to increase student social interaction. The problems at State Junior High School 34 Pekanbaru were the students who had low social interaction, whodaydreamed, who were closed, unconfident, and alone. Quantitative approach was used in this research by using pre-Experimental research with the on group Pretest-Posttest design. The object of this research was the effectiveness of using Picture media on information service to increase student social interaction. The subjects of this research were students having low social interaction and they were 40 students. Random Sampling technique was used in this research.The techniques of collecting the data were questionnaire, observation, and documentation. The instruments of this research were valid with 0.361 Correlation Coefficient and 0.978the reliability. The technique of analyzing the data was Wilcoxon’s Signed Ranks Test. The research findings showed that student social interaction before being given Picture media in information service was on low category and the mean score was 64.65. After being given Picture media in information service, student social interaction increased to the high score and the mean score was 119.9. The test result of Ha showedthe significant score 0.05, 0.000 was lower than 0.05, so Ha was accepted, and the contribution of X to Y was 78.3%.
Quantum state transfer between photons preloaded with quantum information

Quantum mechanics provides a ``disembodied'' way to transfer an unknownquantum state from one quantum system to another. However, all experiments ofquantum state transfer to date are limited to cases where the target quantumsystem contains no prior quantum information. Here we propose a scheme fortransferring a quantum state to a quantum system preloaded with quantuminformation. By using an optical qubit-ququart entangling gate, we haveexperimentally demonstrated this new protocol -- transferring a qubit to aphoton preloaded with one qubit of quantum information. After the statetransfer, the target photon contains two qubits of quantum information, onefrom the qubit being transferred and the other from the pre-existing qubit.Furthermore, we have also experimentally realized the inverse operation of theaforementioned quantum state transfer, which is called the partial quantumstate transfer, namely transferring one qubit of quantum information from aphoton preloaded with two qubits of quantum information to another photon. Thefidelities of the quantum state transfer range from $0.700$ to $0.917$, allabove the classical limit of $2/3$. Our work sheds light on a new direction forquantum state transfer and demonstrates our ability to implement entanglingoperations beyond two-level quantum systems.
The Strengths of Reading Materials in Students’ Worksheet Used at Second Grade of SMA N 9 Kota Jambi

The aims of the study were to find out the strengths of reading materials in students’ worksheet: Talk Active 2 used at Second Grade of SMA N 9 Kota Jambi meet the criteria of good learning materials. Those criteria are: (1) The materials make clear the link between the classroom and the wider world (2) The materials foster independent learning (3) The materials focus the learner on the the opening process (4) The materials are readily available. The student worksheet was written by Fx. Sukristiono, Nursahid, Sudarso, and published by Yudhistira. The research is expected to give insights of understanding the quality of reading materials. This study was designed as a documentary analysis in the form of descriptive qualitative research in which the result would be described in the form of words. The data were collected from the reading section in the students’ worksheet. As supplementary tools of the instrument, forms of checklist were used during the research analysis. The researcher concluded that most of students easy to understand about content of the text but, they still have difficulty in understand the reading materials about definitions, generic structures and functions of each text. Because, most of the texts only present the example of each text. The students need the worksheet should be clearer in reading materials. Not only provide a lot of exercise but also the clear explanations about the definitions, generic structure, purpose, language features and usage of tenses.The result of identified reading materials in students’ worksheet shows some strengths, they are; 1) Common vocabulary for second grade of senior high school, 2) Each text types in students’ worksheet has more than one text, 3) There are learning materials in students’ worksheet.Key Words: Strengths, Reading Materials, Students’ Worksheet.
Topic Modelling on Pharmaceutical Incident Data

Focus of the current study is to explore and analyse textual data in the form of incidents in pharmaceutical industry using topic modelling. Topic modelling applied in the current study is based on Latent Dirichlet Allocation. The proposed model is applied on a corpus containing 190 incidents to retrieve key words with highest probability of occurrence. It is used to form informative topics related to incidents.
VERGILIUS

Vincenzo Capozzoli presents VERGILIUS, a collaborative platform for studying and promoting the heritage of the University of Paris 1 Panthéon-Sorbonne, which consists in Greek antiquities, a model of the ancient city of Rome, a collection of pottery sherds from the Near East, a corpus of stamp seals from ancient Iran, several thousands of slides and photographs, the archives of former professors, a collection of plaster casts and a film library. Since October 2011, these collections have been digitized and organised into archives and virtual exhibitions. This work has proved a valuable training instrument for students, who learn about the objects and their history but also significantly improve their IT skills.
Different Techniques for Person Re-Identification: A Review

In investigation, person re-identification is also a tough task of matching persons determined from utterly completely different camera views. It is necessary applications in AI, threat detection, human trailing and activity analysis. Person re-identification is also a tough analysis topic as a result of partial occlusions, low resolution images and massive illumination changes. Also, person determined from utterly completely different camera views has very important variations on poses and viewpoints. This paper summarises the challenges related to the person re-identification jointly discuss varied techniques utilized person re-identification.
Developing library skills to locate, evaluate and use information amongst university students: a contribution to “information literacy” of students

The intent of this article is to develop information literacy skills in education students of higher education. It presents: (i) a brief look at some Information Literacy (IL) definitions and models, (ii) information gathered from professor and students in respect to their relationship with this theme in their teaching and learning roles, (iii) the Web Site, that we have built, as a result of a project, in order to generate spaces and tools for the achievement of these skills.  Finally, we would like to emphasize that the development of this paper is based on: the firm conviction that librarians and academics can, working together, contribute to the establishment of an alliance that helps students to internalize the information literacy skills as an added value to their general education.
A Review of Face Recognition Using Feature Optimization and Classification Techniques

The human biological components play an important role in security and authentication process. Nowadays, various smart devices used security patterns such as face, finger and iris. The face recognition and detection are important research area for the recognition of face using various classification algorithms such as KNN, SVM and many more algorithms. The performance of these algorithms suffers from the process of feature selection of human face. The ongoing research trend of biometric security adopts the procedure of feature optimization to enhance the facial detection technique. Essentially, three types of entities are inhered by our face such as skin color, texture and shape and size of face. Skin color and texture of face are the most extensive features of a face. Texture feature of face image is adopted in this detection technique. Partial feature extraction functions are used for texture extraction of the face image. These functions provide the most assuring shape feature analysis. In the following paper, we present the review of face recognition based on different classification and feature optimization algorithms.
Quality Mapping of Remote Elementary School-Based on e-EDS

This study aims to map the quality of elementary schools in remote areas in Kapuas and North Barito districts Central Kalimantan Province based on modified e-EDS by considering the ease of use and understanding of the “user” (principal of remote primary schools). This descriptive study using a qualitative approach was conducted in 9 (nine) remote elementary schools in the Kapuas and North Barito districts. Sources of data in this study consisted of nine school principals and the education officials from the two districts. Data collection techniques were carried out by interview (interview), observation, and e-EDS instruments which were developed referring to the SNP for elementary and secondary education. Data analysis using interactive data analysis. The data validation technique used the confirmability technique. The results showed that all elementary schools in remote areas received “red report cards”. The issue of disparities in the quality of education in remote areas has not been properly handled by district and provincial policymakers and related stakeholders. In this article, we provide recommendations for conducting policy lending from countries that are successful in overcoming education problems in remote areas as a means of conducting policy lessons to address the quality problems of remote elementary schools in the future.
PENERAPAN BUKU PINTAR CEPAT BACA SISWA TERHADAP KEMAMPUAN MEMBACA SISWA KELAS 1 SD ISLAM TERPADU ASSALAFIYYAH PAMBOM TAHUN PELAJARAN 2020/2021

Learning of reading provides students with the knowledge and ability to master reading techniques, and capture the reading content well and be able to write it correctly. Reading activities become part of human life in everyday life, through reading activities we can find knowledge, and open insights.This study aims to describe students' reading ability with the application of fast-reading smart books that have previously been developed in previous research. The method in this study is a quantitative approach with a type of experimental research that uses pre test post test design. The subjects in this study were grade 1 students of SD Islam Terpadu Asslafiyyah Pambon Tuban with a total of 7 students. The results of the student's research were completed with KKM ≥70 with a percentage of student completion obtained by 100%. After the calculation of The Normality Gain Test explained that the improvement of learning outcomes obtained an increase in the high category with the number of 5 students, and moderate 2 students. Psychomotor observations gained an average of 94. So it can be said that the use of Smart Book Quick Read that has been in grade 1 of SD Islam Terpadu Assalafiyyah Pambon Tuban can improve the cognitive and psychomotor learning outcomes of students
Facebook’s ‘Libra’ will grow cryptocurrency market: CoinList’s Andy Bromberg

CoinList co-founder Andy Bromberg says Facebook’s Project Libra will expand the growth of the concurrency market.
Hacked Zoom accounts, personal information are being sold on the dark web by the thousands

Passwords and email addresses from hundreds of thousands of Zoom accounts are being posted online by hackers and sold for less than a penny per account.
A Novel Multi-View Labelling Network Based on Pairwise Learning

Correct labelling of multiple people from different viewpoints in complex scenes is a challenging task due to occlusions, visual ambiguities, as well as variations in appearance and illumination. In recent years, deep learning approaches have proved very successful at improving the performance of a wide range of recognition and labelling tasks such as person re-identification and video tracking. However, to date, applications to multi-view tasks have proved more challenging due to the lack of suitably labelled multi-view datasets, which are difficult to collect and annotate. The contributions of this paper are two-fold. First, a synthetic dataset is generated by combining 3D human models and panoramas along with human poses and appearance detail rendering to overcome the shortage of real dataset for multi-view labelling. Second, a novel framework named Multi-View Labelling network (MVL-net) is introduced to leverage the new dataset and unify the multi-view multiple people detection, segmentation and labelling tasks in complex scenes. To the best of our knowledge, this is the first work using deep learning to train a multi-view labelling network. Experiments conducted on both synthetic and real datasets demonstrate that the proposed method outperforms the existing state-of-the-art approaches.
The Use of an Optimal Fuzzy Controller Algorithm for a Low-cost Microcontroller

Fuzzy gain-scheduled PID (FuGSPID) controllers have attracted significant interest in contemporary research.This paper provides mathematical description help to reduce the code program for a Fuzzy gain-scheduled controller FuGSPID that is subsequently used to stabilize the altitude of a home-constructed Quadcopter.The subject particle swarm optimization approach was employed to optimize the fuzzy output sets of the controller.MATLAB was used to generate the dynamic model, the FuGSPID, and the optimization.A simulation exercise revealed that the new parameters employed in the FuGSPID that were generated as a result of the particle swarm optimization produced fewer trajectory tracking errors.Fuzzy systems are required to process large volumes of tasks and processes.This subsequently impedes the performance of the microcontroller.In light of this, this paper outlines a mathematical description that can potentially reduce the algorithm code employed in the FuGSPID controller and, thereby, making it more intuitive and reducing the processing speed of the microcontroller and reducing the sampling time of the controller and the whole flight controller.The findings of this study revealed that the mathematical description it be useful to reduce instruction of fuzzy controller program to implement it in low cost microcontroller and tested effectively for a quadcopter altitude stabilization.
Performance of Various Denoising Techniques on Dense Glandular Mammogram

Digital Mammogram is the major technique to detect breast cancer. Computer aided techniques helps to enhance mammogram images for better detection to radiologist. A patient who has dense breast tissue is opaque to X-ray hence mammogram is brighter such mammogram are dense glandular mammogram. When compared to fatty mammogram early finding of breast cancer is difficult in dense glandular mammogram. This paper gives a comparison study of various spatial filters used in pre-processing techniques for dense glandular, fatty glandular and fatty mammogram. Noise in the mammogram arises due to various factors such as poor illumination, capturing, movement of patient and circuit failure. Various filters are used to remove noise and improve the quality of image. Result concludes filter performance varies for different noises by comparing values of minimum mean squared error (MSE), maximum Peak signal to noise ratio (PSNR) and high structural similarities (SSI).
USER EXPERIENCE (UX) DESIGN CONCEPTS FOR MOBILE APP DEVELOPMENT COURSES

Mobile apps have unique characteristics and challenges that differentiate them from traditional software applications.These characteristics and challenges make it critical that mobile apps follow user experience (UX) design principles if they are to be noticed as quality applications within the millions of apps available in the app stores.This paper outlines these unique characteristics and challenges, and discusses the evolution of user experience (UX) design and its applicability to mobile apps.The author asserts that UX design should be taught as a critical component of mobile app development courses, along with coding and other traditional mobile programming topics.A framework of seven UX design principles for mobile app development is described and proposed.
Adaptation-Agnostic Meta-Training

Many meta-learning algorithms can be formulated into an interleaved process, in the sense that task-specific predictors are learned during inner-task adaptation and meta-parameters are updated during meta-update. The normal meta-training strategy needs to differentiate through the inner-task adaptation procedure to optimize the meta-parameters. This leads to a constraint that the inner-task algorithms should be solved analytically. Under this constraint, only simple algorithms with analytical solutions can be applied as the inner-task algorithms, limiting the model expressiveness. To lift the limitation, we propose an adaptation-agnostic meta-training strategy. Following our proposed strategy, we can apply stronger algorithms (e.g., an ensemble of different types of algorithms) as the inner-task algorithm to achieve superior performance comparing with popular baselines. The source code is available at https://github.com/jiaxinchen666/AdaptationAgnosticMetaLearning.
Does Bitcoin Behave the Same as an Asset on the Stock Exchange?

The main contribution of this paper seeks to answer the lack of research between the digital market of cryptocurrencies by the analysis of time series of daily Bitcoin closing, in light of Modern Finance Theory that is based on Market Efficiency Hypothesis (HEM) and Finance Behavioral.The objective of the research is to answer the title question whether bitcoin behaves the same as a stock exchange.This research also helps to answer whether the bitcoin market has a long-term balance between bitcoin and the different quotes in its local currencies.Based on economic statistics tools, using data collected from exchanges in Brazil, United States and Europe.You can see that HEM is also present in the cryptocurrency market.You can see that this theory integrates with Financial Finance, since financial market studies and theories exist before disruptive converged crypto market surgeries suitable for behavioral finance studies., It could be verified with the tests carried out that Bitcoin behaves similarly to an action inside the stock exchange, which can start other researches to prove its efficiency, its derivatives and its future behaviors.
Arquivos pessoais e patrimônio: a Declaração de Interesse Público e Social como instrumento de patrimonialização de arquivos

The Declaration of Public and Social Interest, provided for by Law No. 8,159 of January 8, 1991, and regulated by Decree No. 4,073 of January 3, 2002, and Decree No. 10,148 of December 2, 2019, stands out as an important instrument of preservation of personal archives in Brazil. Notwithstanding the relevance of the device in the Brazilian context, its application raises conceptual and practical issues related to the preservation of archival patrimony. From the analysis of the bibliography and legislation, as well as the opinions issued by the Technical Evaluation Commission of the National Council of Archives, the criteria that presided over the evaluation of the public and social interest of personal archives, carried out between 2004 and 2016. From the results obtained, it appears that, in addition to the difficulties arising from the relationship between the archival, bibliographic and museological collections expressed in the opinions, the evaluations are still based on a concept of national value that orbits around great characters and general themes.
Sebaran Cemaran Hg di Kawasan Pertambangan Emas Rakyat Menggunakan Metode Inverse Distance Weight

Gold mining on mining communities supports economic life for the societies. On the other hands, these activities are not only support the economic but also give bad effects to the environment. Some people are still using amalgamation process to gold ore process which has the potential to spread Hg concentration in the main area. Spatial distribution of Hg concentration was found in this study. The purpose of this research was identifying the contamination of Hg concetration in three villages of society’s mining gold areas in Kertajaya Sukabumi, West Java. Those three villages were Cigadog Village, Pondok Tilu Citamiang Village, and Kiara 2 Village. Hg concentration distribution map was obtained several samples which were taking 6 soil samples in Cigadog village, 5 soil samples from Pondok Tilu Citamiang Village, and 4 soil samples in Kiara 2 Village. Those samples were analysed for Hg concentration using AAS (Atomic Absorption Spectrophotometer) method. Inverse Distance Weight method was used as Data processing and it was helped by ArcGIS software. The result showed that soil samples from Cigadong village contained Hg concentration of 0.28 - 2.84 ppm, 83% samples were critically polluted, and the contaminated areas were 5.888 hectares. Whilst, soil samples from Pondok Tilu Citamiang Village contained Hg concentration of 0.14 - 1.26 ppm, 80% samples were critically polluted, and the polluted areas were 1.476 Ha. Then, soil samples from Kiara 2 Village contained Hg concentration of 0.67-6.19 ppm, 100% samples were critically polluted, and the contaminated area was 0.040 hectare. The findings of the contaminated area and the pollutant level in mining societies in Kertajaya Village, Sukabumi could be used as initial input for the efforts to restore the Hg polluted environment.
THE ROLE OF OPEN-SOURCE PYTHON PACKAGE GEOSERVER-REST IN WEB-GIS DEVELOPMENT

Abstract. This work describes geoserver-rest, an open-source python package that can manage the geospatial data in a geoserver which is helpful for uploading, editing, and deleting the raster/vector layers from various sources. It is also useful for generating the style/legend from the uploaded geospatial data. Thus, generated legend can be used for visualization of maps in the web-GIS platform. The package is successfully used to build the web-GIS portal for agricultural datasets of Afghanistan, which has around 6000 map layers. The main benefit that geoserver-rest provides to this project is the ability to upload the data to the geoserver and create the styles file dynamically. Thus, created style file are directly linked to the corresponding layer and provide the Web Mapping Service (WMS) standard and visualize in an interactive way.
Optical neuromorphic processing based on Kerr microcombs

We report a new approach to ONNs based on integrated Kerr micro-combs that is programmable, highly scalable and capable of reaching ultra-high speeds. We demonstrate a single neuron perceptron at 11.9 Giga-OPS at 8 bits per OP, or 95.2 Gbps. We then demonstrate a convolutional accelerator operating beyond 11 TeraOPs/s. We test the perceptron on handwritten-digit recognition and cancer-cell detection — achieving over 90% and 85% accuracy, respectively.