Reviewerly/exHarmony huggingface dataset:
Information Authoritarianism vs. Information Anarchy: A Comparison of Information Ecosystems in Mainland China and Hong Kong during the Early Stage of the COVID-19 Pandemic

Mainland China and Hong Kong are two jurisdictions which have, on the one hand, sharply distinctive information ecosystems despite being one country, and on the other hand, are closely connected with each other in terms of the COVID-19 outbreak and related anti-pandemic measures. This note, through a comparative lens, outlines and compares how the information ecosystem of Mainland China and Hong Kong functioned during the early stage of the outbreak, that is, from 31 December 2019 to 29 February 2020. By tracing and examining the timeline of events and news articles published during the early stage of the outbreak through Wisers Information Database, it demonstrates and conceptualizes the information governance in Mainland China as “information authoritarianism” and that in Hong Kong as “information anarchy”. However, despite different patterns of information governance rooted in the different socio-political settings, both information ecosystems suffered from false pandemic information.
Psychological environment at the class as a factor of the student's success

The article says that the teacher at the vocal lesson should switch the focus from correcting mistakes to improving skills that are already achieved. Such point of view will create an aim to fix problems, and help to achieve more positive results. The main task of the teacher, besides training professional skills, is to create a positive atmosphere in the classroom. It is necessary not to ignore occurring mistakes, but to accentuate the ways of getting a positive result.
Philosophical Problems Of Regional Study Of Higher Education Quality

The problems of the quality of higher education in regional interaction of universities, industry and management structures are investigated. Two problematic aspects of the development of the university education are highlighted: the student's orientation towards an independent way of solving complex issues of the studied courses and the disclosure of the subjective basis of the integral interaction between the university and its industry environment. The methods used in the study of the indicated problem are based on the theory of the post-nonclassical stage of the development of science. It is noted that the new principles in the process of training of university specialists demand from researchers a significant increase in the theoretical level of the implementation of developments. A conclusion was formulated about the modern methodological status of the concept of "education quality. It is argued that with the rise of the role of practical skills that a graduate of a university should have, the importance of the psychological aspect of a student's professional training increases. The concretization of the psychological aspect of the study of subjective relations is expressed in the projection of the category of “self-fulfillment” onto the student's image. In this regard, in the course of the study of the educational process, methodological innovations are required from university teachers not only in relation to the cognitive, but also in relation to the socio-psychological aspects of students' proficiency in their profession.
Yin-Yang Puzzles are NP-complete.

We prove NP-completeness of Yin-Yang / Shiromaru-Kuromaru pencil-and-paper puzzles. Viewed as a graph partitioning problem, we prove NP-completeness of partitioning a rectangular grid graph into two induced trees (normal Yin-Yang), or into two induced connected subgraphs (Yin-Yang without $2 \times 2$ rule), subject to some vertices being pre-assigned to a specific tree/subgraph.
Development of Tripod Grasp for 3D Printed Bionic Hand

Industry 4.0 is the most trending technology that has been used nowadays in many fields especially in medical field and this appears to be especially true for orthopaedic trauma surgery. This fourth industrial revolution that consists of additive manufacturing uses three dimensional (3D) printing techniques to invent a three dimensional printed bionic hand that helps the transradial amputees to perform daily life activities and it is controlled by Arduino microcontroller. In order to make a functional bionc hand, the grasp of the hand needs to be adaptive. There are six form of grasps which are Tip, Lateral, Tripod, Spherical, Power, and Extension referring to the Southampton Hand Assessment Procedure (SHAP). However, the current bionic hands are only able to perform four out of six type of grasps which are Power, Tip, Lateral and Spherical as the Tripod grasp is not flexible enough. Therefore, this project aims to develop a 3D printed bionic hand with Tripod grasp functionality for transradial amputees to perform a daily life activities by using Arduino. The target audience for this bionic hand is a transradial amputee with the age of 18 or above because the size of the arm is already matured and it is standardized. The amputees also must have no cognitive disorder and healthy from any skin disorders. The type of test performed by the amputees is Activities of Daily Living (ADL) that consists picking up the pen and write using prosthetic hand. The methodology used in this study is Waterfall methodology as the phase in the development process begins only if the previous phase is complete.
EFL TEACHERS’ ABILITIES TO USE MOBILE TECHNOLOGY IN THEIR ENGLISH TEACHING

Among the mark of technological revolution 4.0, mobile devices’ smart functions can support learning everywhere and every time under wireless network. Therefore, mobile-assisted language learning (MALL) has been believed to enhance English teaching and learning. Nevertheless, the capility to use mobile technology need to be evaluated before mobile learning application employment. Current writing is to present how EFL teachers are able to use mobile devices for their English teaching at a university in Vietnam through the survey on 69 EFL faculties by questionnaire attached twelve statements within fifteen minutes and three open-ended questions for in-depth interview. The investigation was carried out in the second semester of the 2018-2019 academic year, which data were collected and analyzed by the mixed-methods. The findings stated that EFL teachers are firmly confident to use mobile devices to support their English teaching.
High-performance FPGA implementation of the SHA-3 hash function for single and multi-message processing

The Secure Hash function has become the default choice for information security, especially in applications that require data storing or manipulation. Consequently, Optimized implementations of these functions in terms of Throughput or Area are in high demand. In this work we propose a new conception of the SHA-3, aim to increase the performance of this function by using pipelining, four types of pipelining are proposed two, three, four, and six pipelining stages. This approach allows us to design data paths of SHA-3 with higher Throughput and higher clock frequencies. The design reaches a maximum Throughput of 102.98 Gbps on Virtex 5 and 115.124 Gbps on Virtex 6 in the case of the 6 stages, for 512 bits output length. Although the utilization of the resource increase with the increase of the number of the cores used in each one of the cases. The proposed designs are coded in VHDL and implemented in Xilinx Virtex-5 and Virtex-6 FPGA devices and compared to existing FPGA implementations.
Review of Responsive Design Concept Based On Framework Materialize On The Website

Responsive web design is a website design that can adjust each size on each device. Based on the results of several respondents, 60% of respondents agreed that some websites were not able to adjust the display size on the web, 50% of respondents agreed that design affects the convenience factor, 58% of respondents agreed that the main content and functionality of websites that are difficult to access via mobile devices, 53% of respondents agreed that the appearance of a website that was not attractive had a bad effect on the comfort factor of the respondents, 50% of respondents also agreed that the website was not able to adjust the size on every mobile device. From the results of this review, it can be concluded that an unresponsive website greatly affects the inconvenience of users in accessing information through the website.
3-D Convolutional Neural Network Driven by Dimensionality Reduction for Hyperspectral Blood Cells Classification

Recent developments in convolutional neural network (CNN) led to an interest in the classification of blood cells hyperspectral images (HSI). However, traditional CNN algorithms cannot explore the intrinsic geometric structures of blood cells HSI, which may cause a limit in classification accuracy. To address this issue, this paper proposed a three-dimensional (3-D) convolutional neural network driven by dimensionality reduction termed 3DDRNet. 3DDRNet first designs a optimization criteria to compact intraclass neighbors and separate interclass samples in low-dimensional embedding space. Then, a 3-D convolutional neural network is used to extract spatial-spectral features for classification. Experimental results on the Bloodcell1-3 and Bloodcell2-2 datasets demonstrate that the proposed 3DDRNet can achieve better classification results than many state-of-the-art methods.The GitHub Respository: https://github.com/jmjkx/MyConference.
Peningkatan Kemampuan Membaca Huruf Hijaiyah dengan Media Kartu Bergambar pada Kelompok A RA Al-Hidayah Kesamben

This study aims to determine the ability to read hijaiyah letters in early childhood before using card media with hijaiyah letters, the ability to read hijayah letters for early childhood after using hijaiyah printed card media and the efforts to improve reading Al-hijaiyah letters using picture card media in early childhood group A RA Al-Hidayah. This research uses Classroom Action Research by using 2 cycles of stages with the stages of planning, implementing, observing and reflecting. The instruments in this study were observation and documentation. Data analysis used qualitative descriptive with an individual completeness formula of 65% and grade completeness 85%.
Attack Detection on Images Based on DCT-Based Features

As reproduction of images can be done with ease, copy detection has increasingly become important. In the duplication process, image modifications are likely to occur and some alterations are deliberate and can be viewed as attacks. A wide range of copy detection techniques has been proposed. In our study, content-based copy detection, which basically applies DCT-based features for images, namely, pixel values, edges, texture information and frequency-domain component distribution, is employed. Experiments are carried out to evaluate robustness and sensitivity of DCT-based features from attacks. As different types of DCT-based features hold different pieces of information, how features and attacks are related can be shown in their robustness and sensitivity. Rather than searching for proper features, use of robustness and sensitivity is proposed here to realize how the attacked features have changed when an image attack occurs. The experiments show that, out of ten attacks, the neural networks are able to detect seven attacks namely, Gaussian noise, S&P noise, Gamma correction (high), blurring, resizing (big), compression and rotation with mostly related to their sensitive features.
PREDIKSI PRILAKU POLA PENGUNJUNG TERHADAP TRANSAKSI MEGGUNAKAN METODE BACKPROPAGATION (STUDI KASUS DI TOKO BANGUNAN INDORAYA GYPSUM)

In the prediction of the behavior of this visitor pattern gives an impact that can know the results of revenue obtained from the behavior of visitors to the transaction pattern in Indoraya Gypsum Building Store using the methods that will be applied and help users in knowing the maximum results. This study aims to predict the behavior of visitor patterns to the transaction so that it can predict based on many materials purchased visitors. To achieve optimal output, this research uses Artificial Neural Network Backpropagation Method. A case study conducted at the Indoraya Gypsum Building Store. The data used are data material visitors as much as 24 data in September 2017 as training data and data sales of visitors as 24 data in October 2017 as data testing. Furthermore, the data is analyzed with some pattern of network architecture and the best pattern will be chosen to be implemented to Matlab program. The result of the test of the applied method is able to give the result of the greatest amount of material from the best pattern to the visitor in the time period which can give a good impact in predicting the visitor pattern which there is a percentage result of 99.9974%. The prediction of the number of materials based on the pattern of visitors there is the highest accuracy rate of 100% can answer the problems to be solved with the analysis of the best patterns for improvement in the future.
Μαθηματική ανάλυση μη γραμμικών Μηχανών Διανυσμάτων Υποστήριξης για εφαρμογές σε Επιβλεπόμενη Μηχανική Μάθηση. Ανάλυση και ταξινόμηση δεδομένων με παραδείγματα σε Python

The goal of this dissertation is to present the mathematics behind the Support Vector Machines categorization method and it’s variations. It also attempts to review recent and past literature on support vector machines and the various research problems regarding them. Particular emphasis will be placed on the problem of class imbalance and the research activity concerning it. Finally, various available implementations of the methods are presented in the Python programming language as well as examples on them.
A Study on the Influence of Reality T.V Shows on Life Style and Academic Achievement of Adolescents

TV reality shows are a great influencing factor on our adolescents. Our younger generation are blindly behind certain reality shows in following the lifestyle, dressing style and even language of the artists in these shows. Besides these, adolescents are developing unhealthy competitions and falling in depression and certain severe psychological problems. The present study is intended to analyse the influence of Reality T.V shows on Life Style and Academic Achievement of Adolescents. 100 adolescent students were selected from two schools through simple random sampling technique for the purpose of the study. Reality T.V shows scale and Life Style Scale were the tools used for the data collection procedure. ANOVA and mean difference analysis were the statistical techniques used for the analysis. The results of the study revealed that Reality T.V shows have a significant effect on Life Style and Academic Achievement of Adolescents.
Watching the Watchers: Nonce-based Inverse Surveillance to Remotely Detect Monitoring.

Internet users and service providers do not often know when traffic is being watched but desire a way to determine when, where, and by whom. We present NOISE, the Nonce Observatory for Inverse Surveillance of Eavesdroppers, a method and system that detects monitoring by disseminating nonces - unique, pseudorandom values - in traffic and seeing if they are acted upon unexpectedly, indicating that the nonce-laden traffic is being monitored. Specifically, we embed 64-bit nonces innocuously into IPv6 addresses and disseminate these nonces Internet-wide using a modified traceroute-like tool that makes each outbound probe's source address unique. We continually monitor for subsequent nonce propagation, i.e., activity or interest involving these nonces, e.g., via packet capture on our system's infrastructure. Across three experiments and four months, NOISE detects monitoring more than 200k times, ostensibly in 268 networks, for probes destined for 437 networks. Our results reveal: (a) data collection for security incident handling, (b) traffic information being shared with third parties, and (c) eavesdropping in or near a large commercial peering exchange.
A tight lower bound for non-coherent index erasure

The index erasure problem is a quantum state generation problem that asks a quantum computer to prepare a uniform superposition over the image of an injective function given by an oracle. We prove a tight $\Omega(\sqrt{n})$ lower bound on the quantum query complexity of the non-coherent case of the problem, where, in addition to preparing the required superposition, the algorithm is allowed to leave the ancillary memory in an arbitrary function-dependent state. This resolves an open question of Ambainis et al., who gave a tight bound for the coherent case, the case where the ancillary memory must return to its initial state. To prove our main result, we first extend the automorphism principle}of Hoyer et al. to the general adversary method of Lee et al. for state generation problems, which allows one to exploit the symmetries of these problems to lower bound their quantum query complexity. Using this method, we establish a strong connection between the quantum query complexity of non-coherent symmetric state generation problems and the Krein parameters of an association scheme defined on injective functions. In particular, we use the spherical harmonics a finite symmetric Gelfand pair associated with the space of injective functions to obtain asymptotic bounds on certain Krein parameters, from which the main result follows.
Solve Minimax Optimization by Anderson Acceleration

Many modern machine learning algorithms such as generative adversarial networks (GANs) and adversarial training can be formulated as minimax optimization. Gradient descent ascent (GDA) is the most commonly used algorithm due to its simplicity. However, GDA can converge to non-optimal minimax points. We propose a new minimax optimization framework, GDA-AM, that views the GDAdynamics as a fixed-point iteration and solves it using Anderson Mixing to con-verge to the local minimax. It addresses the diverging issue of simultaneous GDAand accelerates the convergence of alternating GDA. We show theoretically that the algorithm can achieve global convergence for bilinear problems under mild conditions. We also empirically show that GDA-AMsolves a variety of minimax problems and improves GAN training on several datasets
Design a multi-motion bed to help the elderly people and sick

Most mishaps happening at clinical foundations treating older patients with portability hindrance are bedsores and fall mishaps. One reason for this high pace of mishaps is the absence of nursing faculty. So as to help parental figures in nursing old patients who can't move about uninhibitedly, in this paper, we propose an arrangement and execution of a wise bed. In this bed, a couple of weight sensors are passed on under the sheet material spread to consider the two social orders' standard actual characteristics and the specific body parts where bedsores typically occur. To deal with the weight ulcer territory and to forestall falls, the body zone is partitioned into three vertical territories and three level zones. Each microcontroller unit supervises pressure-distinguishing information in one of the body locale divided on a level plane. In this assessment, a persistent weight distinguishing figuring is presented that is good for picking the likely results of bedsores and falling setbacks by considering both the power and the length of weight of unequivocal body parts. Our exploratory results show that a model splendid bed works honorably for a couple of human models of various heights and burdens.
The Concept Of Value Self-Determination Of Children And Youth

The concept of value self-determination of an individual is presented taking into account such trends of modern life as turbulence, value uncertainty, singularity. The concept enriches the insufficiently developed pedagogical aspects of scientific knowledge about the influence of childhood psychological trauma on the value self-determination of children and youth. As a methodological basis for the concept, a systematic approach is substantiated that describes value self-determination in terms of "situation", "being", "event"; anthropological, characterizing the non-systemic aspects of value self-determination in terms of “experience”, “co-experience”, “attitude”; axiological, the units of research of which are “value”, “meaning”, “self-determination”. The structure of value self-determination integrates the processes of "crystallization" of values as a conscious or unconscious process of value formation, generated by acute and intense experience, has been substantiated; value generation of meaning - awareness of the personal meaning of values in the process of “experiencing the past”; value formation of meaning as a specially organized process of comprehending the meaning and acquiring the personal meaning of values in specially designed situations of communication and activity.
Character Development of Margaret March in Louisa May Alcott's Little Women

Skripsi ini membahas tentang perkembangan karakter Margaret March, satu dari tokoh-tokoh utama di novel Little Women oleh Louisa May Alcott, sepanjang masa remaja, kehidupan rumah tangga, dan perannya sebagai ibu. Tujuan-tujuan dari penulisan skripsi ini adalah untuk menjelaskan perkembangan karakter Margaret March dalam novel Little Women dan mempelajari lebih dalam faktor-faktor yang mempengaruhi perkembangan karakter Margaret March. Skripsi ini menerapkan pendekatan intrinsik oleh Rene Welleck dan Austin Warren sebagai dasar teori dan studi pustaka sebagai metode penelitian. Hasil dari penelitian ini menunjukkan bahwa Margaret March mengalami perkembangan karakter sepanjang hidupnya; dia tumbuh dari remaja yang suka mengeluh hingga menjadi seorang wanita yang bisa menerima keadaan dan menjadi seorang ibu yang baik. Skripsi ini juga menemukan bahwa perkembangan karakter Margaret March dipengaruhi oleh beberapa faktor yaitu keluarga, teman-temannya, kehidupan lingkungan sekitar, dan hubungan dengan John Brooke.This graduating paper discusses the character development of Margaret March, one of the main characters in the novel Little Women by Louisa May Alcott, throughout her adolescence, her marriage life, and motherhood. The objectives of this research are to explain how the character of Margaret March develops in Little Women and to explore at the factors which affect Margaret Marchs character development. This paper applies the intrinsic approach by Rene Welleck and Austin Warren as its theoretical framework and the library research as its method of research. The result of this research shows that Margaret March experiences development in her character throughout her life; she grows up from a whiny teenager in her adolescence to finally become a woman who accepts her living condition and embrace motherhood. This paper also discovers the character development of Margaret March is affected by some factors namely her family, her friends, the society during her time, and her relationship with John Brooke.
Implementing Two-Qubit Gates

The previous chapters were about single-qubit operations. Single-qubit rotations and a two-qubit gate (such as a CNOT gate) are required to form a set of universal gates. Therefore, let us consider how to implement a two-qubit CNOT gate.