Reviewerly/exHarmony huggingface dataset:
Biologically plausible illumination-invariant face representations

Humans possess a remarkable ability to identify objects — and faces in particular — under highly variable conditions. The invariance hypothesis (Leibo et al., 2015) posits that the goal of the human ventral visual system is to learn representations that are invariant to identity-preserving transformations. One computational approach to learn such representations is the templates-and-signatures model proposed by Liao et al. (2013). The model measures similarities between template images and unseen query images to produce discriminative and invariant signatures. From a small number of template examples, the model can learn invariance to group transformations (e.g., scaling, translation, and in-plane rotation) for new object classes, whereas object-class-specific templates are required for non-group transformations (e.g., pose). Here, we probe the capacity of this approach to handle variation in illumination — a complex set of non-group transformations — on a face verification task. A 3D morphable face model is used to generate synthetic datasets under both natural and extreme illumination. We benchmark the templates-and-signatures approach against VGG16, a convolutional neural network (CNN), and compare the effects of a generic object-class versus domain-specific learned prior by pre-training VGG16 either on ImageNet or human faces. We find that under natural illumination settings, the templates-and-signatures model effectively solves the face verification task, outperforming both CNN variants. Additionally, the templates-and-signatures model’s learned representations are impressively invariant to extreme variations in illumination and generalize best when using natural illumination templates. These invariances hold even with tens of training examples, which is particularly striking behavior relative to the CNNs that have been pre-trained on millions of images. Coupled with its simplicity and its implications for a biologically plausible sequence of class-specific developmental periods for learning invariances, the model’s ability to generalize to out-of-distribution illumination settings from few examples lends credence to a templates-and-signatures account of feed-forward object recognition.
Design and Simulation a Video Steganography System by Using FFTturbo Code Methods for Copyrights Application

Protecting information on various communication media is considered an essential requirement in the present information transmission technology. So, there is a continuous search around different modern techniques that may be used to protect the data from the attackers. Steganography is one of those techniques that can be used to maintain the copyright by employing it to cover the publisher logo image inside the video frames. Nowadays, most of the popular known of the Video-Steganography methods become a conventional technique to the attacker, so there is a requirement for a modern and smart strategy to protect the copyright of the digital video file. Where this proposed system goal to create a hybrid system that combines the properties of Cryptography and Steganography work to protect the copyright hidden data from different attack types with maintaining of characteristics of the original video (quality and resolution). In this article, a modern Video-Steganography method is presented by employing the benefits of TC (Turbo code) to encrypt the pixels of logo image and Least two Significant Bit Technique procedure to embed the encryption pixels inside the frames of the video file. The insertion is performed in the frequency domain by applying the Fast Fourier Transform (FFT)on the video frames. The examination of the suggested architecture is done by terms of Structural Similarity Index, MSE (mean squared error), and PSNR (peak signal-to-noise ratio) by comparing between an original and extracted logo as well as between original and Steganographic video (averaged overall digital frames in the video). The simulation results show that this method proved high security, robustness, capacity and produces a substantial performance enhancement over the present known ways with fewer distortions in the quality of the video.
Neural Basis of Numeric Incongruity Processing and Mental Arithmetic in Human Brain

This paper presents a general overview of the practical applicability of non-linear potential flow solvers for water wave propagation. Those numerical models are unable to describe explicitly the wave breaking phenomena, including free surface reconnexion, energy dissipation, etc. This reduces their range of application in real sea waves, which are in the most general context irregular and directional wave fields. This study covers the influence of discretization, water depth, directional spreading and spectral peakedness on the limitations in the use of such non-linear potential models. The approach at use relies on a highly non-linear model based on the High-Order Spectral method.
Modeling Annual Parasite Incidence of Malaria in Indonesia of 2017 using Spatial Regime

Malaria is an infectious disease caused by the Plasmodium parasite and transmitted through infected female Anopheles mosquitoes. The morbidity of malaria is determined by Annual Parasite Incidence (API) per year. A region with high malaria cases can spread malaria to other regions. Therefore, the purpose of this study is to determine the spatial regimes and factors that significantly influence the spread of malaria in Indonesia of 2017. Spatial regime is a method obtained by clustering the coefficient values from the well-known method in modeling spatial varying relationship namely geographically weighted regression (GWR). The data used in this study are malaria Passive Case Detection (PCD) from Puskesmas throughout Indonesia in 2017. The results show three groups which can be classified as regencies/cities with low, medium moderate and high API, while slide positivity rate and annual blood examination are predictors who influent API numbers in Indonesia significantly.
Pengaruh Pemberian Kode Warna Wilayah Pada Folder Terhadap Ketepatan Penyimpanan Berkas Rekam Medis Di Puskesmas Wadaslintang 1

A Medical records are files containing notes and documents regarding the patient's identity, examination, treatment, actions and other services that have been provided to patients. So that a medical file is strictly protected so that it is not damaged or lost.Based on observations, it was found that there were several files of medical records that were interchanged or not in the normal filling rack. Medical record files can be exchanged due to the large number of regional shelf columns so that alternatives and innovations are needed to increase the accuracy of returning and retrieving medical record files correctly.Troubleshooting efforts are being made, namely by providing a regional color code in the medical record file folder so that errors in taking and returning medical record files can be minimized.Based on the results of observations made by the author, it was found that there was an effect before and after color coding the region in the medical record file folder.
IMPLEMENTASI METODE WAFA DALAM MENINGKATKAN KUALITAS BACAAN AL –QUR’AN DI RUMAH SYAAMIL QUR’AN DI PONOROGO

Reading Al-Quran is important for a mother, remembering that Al-Quran source of teaching and way of life for Muslims, inside it load all of needed every human. This research used qualitative method that describing a thing by analyzed. The type of this research is field research that exixting database research. Data collection techniques done by observation, interview, and documentation. Output of this research show that 1) Implementation Wafa method inside improve quality reading Al-Qur’an in Syamil Qur’an Ponorogo home using with Hijaz song, with red colour as mark difference reading, and repeating readers is applied so well, start from plan process untuk realization. 2) Result inside implementation Wafa method for improving quality reading Quran in Syaamil Qur’an Ponorogo home produce result a) Knowledge, b) comprehension, c) skill. 3) A retard factor in Syaamil Qur’an Ponorogo home have same factors that is standart process of teaching obstacle in syaamil Qur’an Ponorogo home: 1. (a) emotional factor, (b) presence factor, (c) endless administration factor: 2. Supporting factor inside implementation Wafa method in Syaamil Qur’a Ponorogo home, (a) well graduation standard, (b) teaching standard, (c) infrastructure facilities, (d) standard financing
Lessons (to be) Learned? An Investigation of Online Learning during the COVID-19 School Closures in a Brunei Primary School

This study explores data gathered from Year 6 subject teachers and senior administrators at a public primary school in Brunei Darussalam regarding online learning and teaching, and the transformation challenges encountered when moving from classroom education to virtual-based learning during the COVID-19 pandemic. A mixed methods approach was used, and the findings revealed there was both student learning loss and gain in the 2020 primary national school assessment. Unequal access to technology deprived disadvantaged students while internet issues showed that students experienced slow connections and inadequate internet quotas for online learning. The most significant findings were that collegial support and collaboration helped to reduce teachers’ anxiety levels, and that having digital competence was advantageous in successfully implementing technological teaching methods to support and advance education. Parental involvement in their children’s education at home was equally important as in regular schooling. The limitations of this study were that the opinions of the senior administrators and subject teachers were based on their self-reflection on evaluation, analysis and action plan; furthermore, the mixed approach reduces direct comparison with other public primary schools. Such educational challenges facing students and teachers may lead to better understanding and future research and developments in improving educational systems.
PROVIDING A ENCRYPTED DATA SHARING MECHANISM BETWEEN DATA OWNER AND DATA USER IN CLOUD COMPUTING

Individuals underwrite the incredible intensity of distributed computing, however can't completely believe the cloud suppliers to have protection delicate information, because of the nonattendance of client to-cloud controllability. To guarantee privacy, information proprietors redistribute encrypted information rather than plaintexts. To impart the encrypted records to different clients, Cipher text-Policy Attribute-based Encryption (CP-ABE) can be used to lead fine-grained and proprietor driven access control. But this does not adequately become secure against different assaults. A malignant aggressor can download a great many records to dispatch Economic Denial of Sustainability (EDoS) assaults, which will to a great extent devour the cloud asset. The payer of the cloud administration bears the cost. In addition, the cloud supplier serves both as the bookkeeper and the payee of asset utilization expense, coming up short on the straightforwardness to information proprietors.
TYPOMORPHIC FEATURES OF GOLD FROM OF THE SURSK GREENSTONE STRUCTURE WEATHERING CRUST

Based on the generalization of the actual material of production reports, publications in scientific journals and own research, information on the typomorphic features of native gold from the weathering crust of different mineral composition of gold-bearing rocks within the deposits and ore occurrences of the Sura greenstone structure are given. The change of typomorphic features of gold in the vertical section of the weathering crust is investigated.
THE EFFECTIVENESS OF USING KIM'S MEMORY GAME TO INCREASE STUDENTS' VOCABULARY AT THE SECOND GRADE OF JUNIOR HIGH SCHOOL

The purpose of this research was to reveal the effectiveness of using Kim's memory game in increasing students' vocabulary. This research was pre-experimental research using quantitative research with one group pre-test and post-test design. Population of this research were students of SMP Negeri 3 Kombi and the sample were VIII grade students in academic year 2019/2020 and the sample were 15 students. The data were collected through multiple choice test. The data of this research were analysed statistically using mean score formula X=X/N. The result of the data analysis showed that the highest score in pre-test was 88 and the lowest was 40. The highest score in post-test was 96 and the lowest was 70. The mean score of pre-test was 65.33 and the mean score of post-test was 81.86. The improvement was 16.53 from the pre-test to the post-test. It was indicated that the used of Kim's Memory game could help to increase students” Vocabulary.
IMPROVING STUDENTS’ READING COMPREHENSION THROUGH YOUTUBE AT GRADE VII OF SMPN 3 BUKIT BATU

Learning during the pandemic that supports 21st century learning uses online learning and the media in the form of YouTube which has been prepared by the teacher in advance. The aim of this research was to improve the students’ reading comprehension at grade VII of SMPN 3 Bukit Batu. This research used classroom action research in two cycles consisting of 2 lessons per cycle with a total of 27 students. The results of the research before the action obtained an average of 65.81 with the number of students completed the KKM were 13, classically 48%. In the first cycle, learning was carried out by using youtube learning media so that an average of 70.2 was obtained with the number of students who completed were 20 people, with the percentage of classical completeness reaching 74.1%. Meanwhile, in the second cycle, an average of 83.5 was obtained with the number of students who completed were 26 people with the percentage of classical completeness reached 96.3%. The results of teacher observations found that the average cumulative results of the assessment on learning observation activities in the first cycle was 66.7 and increased in the second cycle by 91.7. Thus, it was concluded that the use of youtube media was able to improve students' reading comprehension.
Interactive Machine Comprehension with Dynamic Knowledge Graphs

Interactive machine reading comprehension (iMRC) is machine comprehension tasks where knowledge sources are partially observable.An agent must interact with an environment sequentially to gather necessary knowledge in order to answer a question.We hypothesize that graph representations are good inductive biases, which can serve as an agent's memory mechanism in iMRC tasks.We explore four different categories of graphs that can capture text information at various levels.We describe methods that dynamically build and update these graphs during information gathering, as well as neural models to encode graph representations in RL agents.Extensive experiments on iSQuAD suggest that graph representations can result in significant performance improvements for RL agents. 1
Problem-oriented program generators

GPGPU (General Purpose computing for Graphical Processing Units) technology allows one to harness the computational power of a GPU (Graphical Processing Unit) and apply it to practically any computationally-intensive task benefiting from parallelization. Software relying on GPGPU inevitably runs in performance problems as the complexity of the program grows and new functionality is introduced. This paper proposes a method to alleviate that particular issue, improving overall GPU program performance. Proposed method entails the creation of problem-oriented programs from the code of the original program. A concept of problem-oriented program is introduced, and the key parts differentiating them from original programs are discussed. The preferable degree of program’s specialization is covered. Various aspects of practical application of this approach are presented. Comparison with existing methods for enhancing the software performance is made, presenting the similarities and differences between proposed approach and said methods, as well their general applicability on GPU.
Automatic Hadith Segmentation using PPM Compression.

In this paper we explore the use of Prediction by partial matching (PPM) compression based to segment Hadith into its two main components (Isnad and Matan). The experiments utilized the PPMD variant of the PPM, showing that PPMD is effective in Hadith segmentation. It was also tested on Hadith corpora of different structures. In the first experiment we used the nonauthentic Hadith (NAH) corpus for training models and testing, and in the second experiment we used the NAH corpus for training models and the Leeds University and King Saud University (LK) Hadith corpus for testing PPMD segmenter. PPMD of order 7 achieved an accuracy of 92.76% and 90.10% in the first and second experiments, respectively.
The effect of spatial frequency on perceiving the gist of abnormality in mammograms

Rapid extraction of global structural regularities provides us with basic information of our visual world, the so-called gist. Scene research is divided as to whether it is low or high frequencies that are essential for driving gist signals. However, recent work has suggested that high rather than low spatial frequencies are vital for radiologists to extract the gist of abnormality from mammograms (Evans et al., 2016). Here, we investigated the effects of high-pass filtering of mammograms on detecting the gist of the abnormal. Twenty-eight radiologists viewed mammograms for 500 ms, rating their gist impression of abnormality in unaltered and filtered images. Performance on 90 no cancer, 30 obvious, 30 subtle cancer, and 30 three years prior to sign of abnormality unaltered mammograms was compared to contrast-normalized, 2nd order Butterworth high-pass filtered versions of the same (0.5, 1, 1.5 & 2 cycles per degree (cpd)). Filtering out frequencies lower than 0.5 and 1 cpd significantly affected the radiologists’ performance (ηp2=.45) with an increased performance when frequencies below 0.5 cpd were filtered out compared to both unfiltered and 1 cpd. The beneficial effect of filtering was especially pronounced for mammograms that did not have a localized signal present (ηp2=.13), with improvement from d’=0.02 for unfiltered to d’=0.71 for 0.5 filtered, staying unchanged for 1 cpd. Filtering out of frequencies below 1.5 and 2 cpd showed no discernible pattern of promoting or impeding gist extraction in general or for different conspicuities. Overall, categorization performance was higher for images with obvious cancer lesions as opposed to subtle or mammograms acquired prior to any visible actionable signs of cancer (ηp2=.59, ηp2=.78). In conclusion, our results support the idea that high frequencies can carry important information for gist extraction of abnormality, suggesting that this signal might be especially present in frequencies between 0.5 and 1 cpd.
The Effect of Principal's Coaching Leadership on Teachers' Job Attitude: The Mediating Effects of Job Autonomy and Self-efficacy

The purpose of this study is to confirm the mediating effect of job autonomy and self-efficacy in the relationship between coaching leadership's influence on job satisfaction and job commitment, which is a teacher's job attitude. The resulting survey was distributed to 12 elementary school teachers in Ulsan and the final 270 copies were used for analysis. In order to confirm the influence relationship of these variables, the data was analyzed through a structural equation model. The results of the study are as follows. First, coaching leadership did not have a direct effect on teacher job satisfaction. However, in the case of indirect effects, there was a statistically significant causal relationship. Second, coaching leadership was found to have statistically significant direct and indirect effects on teacher job commitment. Coaching leadership directly affected job commitment, and job autonomy and self-efficacy as mediators, indirectly affected job commitment. Third, coaching leadership had a direct effect on the path to the teacher's job autonomy. In other words, the principal's coaching leadership had a significant positive (+) effect on the teacher's job autonomy. Fourth, job autonomy and self-efficacy had a partial mediating effect in the relationship with job commitment, similar to coaching leadership. Based on the results principal's coaching leadership was an important factor in improving school performance by positively affecting the job satisfaction and job commitment, which is the job attitude of teachers through self-efficacy and job autonomy. Theoretical and empirical implications are presented.
Penentuan Lokasi Fasilitas Kesehatan Strategis Menggunakan Metode Naive Bayes pada RSU Bintang

At present the selection of strategic health facility locations is not easy, to determine the right location and in accordance with the needs of patients must use the right calculation. Bintang General Hospital (RSU Bintang) has difficulties in determining the strategic location of new health facilities. The difficulty is due to the absence of data processing from the current system so that in determining the location of strategic health facilities is not based on data that has been analyzed. Based on the problems experienced by RSU Bintang and to assist in making a decision in establishing a strategic health facility location, a study was made to design a decision support system that can perform calculations to determine the location of the most strategic health facility with the title "Decision Support System. Determining the Location of Strategic Health Facilities Using the Naive Bayes Method at RSU Bintang”. Decision support system that is built will have several functions, such as processing patient register data, user data processing, alternative location data processing, criteria data processing, data processing rules, Naive Bayes calculations and managing several reports that can be used as decision support for the RSU Bintang. in determining the location of the most strategic health facilities. In this system, testing has been done by using blackbox testing which gets the test results in accordance with the system design.