Reviewerly/exHarmony huggingface dataset:
A Look Back: Computers in the classroom, as covered in <i>Kappan</i>

The potential of computers to transform schools has been a significant concern of educators since at least the 1960s. Teresa Preston explores how Kappan authors covered the computer age, beginning with explorations of computer-assisted instruction in the 1960s and continuing through the development of microcomputers in the 1980s. Although authors had great hopes for how computers could provide more engaging and individualized experiences, they also acknowledged that implementing technology would not be easy and that changes might be more gradual than technology advocates hoped.
How to trivialize uniqueness

A new unified account for anaphoric and non-anaphoric (attributively used) definite descriptions is proposed that avoids making use of lexical ambiguities and the notion of minimal situations.
Building the Next Generation of Leaders

Women in Higher EducationVolume 30, Issue 3 p. 11-15 Profile Building the Next Generation of Leaders Lois Elfman, Lois ElfmanSearch for more papers by this author Lois Elfman, Lois ElfmanSearch for more papers by this author First published: 24 February 2021 https://doi.org/10.1002/whe.20966Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume30, Issue3March 2021Pages 11-15 RelatedInformation
Helping Material in English Textbooks for Teaching Reading Skillsat the Intermediate Level: A Critical Analysis

The study was undertaken to analyze the textbook helping material for teaching reading at the intermediate level. The particular objectives of the study were to analyze if the helping material lays equal emphasis on different subskills of reading e.g. skimming, scanning, prediction, anticipation and inference and to analyze the relevance of the activities to the content of the lesson. It also analyzed how varied the activities in the helping material are and if they are appropriate for the intermediate level. The books taken for the study were Intermediate Level textbooks of Punjab Textbook Board Pakistan; Book 1 (Short Stories), Book 2 (Modern Prose and Heroes) and Book 3 (Plays and Poems). The study is based on content analysis. As a result of the study it has been found out that the helping material in the books focuses mostly on a small set of sub skills i.e. scanning, skimming and past tense. There is also a lot of unnecessary repetition and some activities are too simple for this level. The study proposes recommendations for the teachers, students as well as the curriculum developers to improve the helping material in the books.
Methodology for Teaching Third Graders to Distinguish and Compose Monologue Texts of Different Types

Using the example of conducting a Russian language lesson in the third grade, the article reveals the methodology of forming the ability of younger students to independently construct monologue texts. The author has demonstrated the effectiveness of using a set of methodological techniques that contribute to the development of students’ ability to analyze and distinguish between texts of different types: narration, description, reasoning. This allows third graders to create their own texts, taking into account the characteristics of the type to which they belong. Taking into account the tendency of primary school children to play, research activities and dialogue with peers, the teacher offers them didactic play, educational dialogue and discussion during the lesson.
UJI VALIDITAS SIRIRAJ STROKE SCORE, ALGORITMA STROKE GADJAH MADA, SKOR STROKE NUARTHA TERHADAP COMPUTERIZED TOMOGRAPHY SCAN KEPALA DALAM MENENTUKAN JENIS STROKE PADA FASE AKUT

Stroke is a syndrome that is characterized by sudden functional focal and global brain disorder that develops very quickly lasting more than 24 hours (unless there is surgical intervention or bringing death) caused by vascular disorder in the brain (Gofir, 2009). Stroke is the number one cause of serious disability settled worldwide. Stroke is also a leading cause of death worldwide. This research had 87 sample, consisting of 50 men and 37 women. The study was done using patient suspect stroke that enter the emergency room. The analysis result was nuartha’s stroke score has the highest sensitivity and specificity compared to Siriraj Stroke Score and Gadjah Mada Stroke Score. The sensitivity of the Nuartha Stroke Score in diagnosing non hemorrhagic stroke was 94,87 and with a specificity of 94.12%. Whereas for diagnosing hemorrhagic stroke, nuartha stroke score has a sensitivity of 94,12% and specificity of 94.87%. With an accuracy of 94.64%&#x0D;
Benchmarking Adaptive Variational Quantum Eigensolvers

By design, the variational quantum eigensolver (VQE) strives to recover the lowest-energy eigenvalue of a given Hamiltonian by preparing quantum states guided by the variational principle. In practice, the prepared quantum state is indirectly assessed by the value of the associated energy. Novel adaptive derivative-assembled pseudo-trotter (ADAPT) ansatz approaches and recent formal advances now establish a clear connection between the theory of quantum chemistry and the quantum state ansatz used to solve the electronic structure problem. Here we benchmark the accuracy of VQE and ADAPT-VQE to calculate the electronic ground states and potential energy curves for a few selected diatomic molecules, namely H$_2$, NaH, and KH. Using numerical simulation, we find both methods provide good estimates of the energy and ground state, but only ADAPT-VQE proves to be robust to particularities in optimization methods. Another relevant finding is that gradient-based optimization is overall more economical and delivers superior performance than analogous simulations carried out with gradient-free optimizers. The results also identify small errors in the prepared state fidelity which show an increasing trend with molecular size.
Decentralized Attribution of Generative Models

Growing applications of generative models have led to new threats such as malicious personation and digital copyright infringement. One solution to these threats is model attribution, i.e., the identification of user-end models where the contents under question are generated from. Existing studies showed empirical feasibility of attribution through a centralized classifier trained on all user-end models. However, this approach is not scalable in reality as the number of models ever grows. Neither does it provide an attributability guarantee. To this end, this paper studies decentralized attribution, which relies on binary classifiers associated with each user-end model. Each binary classifier is parameterized by a user-specific key and distinguishes its associated model distribution from the authentic data distribution. We develop sufficient conditions of the keys that guarantee an attributability lower bound. Our method is validated on MNIST, CelebA, and FFHQ datasets. We also examine the trade-off between generation quality and robustness of attribution against adversarial post-processes.
SBEVNet: End-to-End Deep Stereo Layout Estimation

Accurate layout estimation is crucial for planning and navigation, for robotics applications such as self driving. In this paper, we introduce stereo bird's eye view network SBEVNet, a novel supervised end-to-end framework for estimation of bird's eye view layout from a pair of stereo images. Although our network reuses the building blocks from the state-of-the-art deep learning networks for disparity estimation, we show that accurate depth estimation is neither sufficient nor necessary. Instead, the learning of a good internal bird's eye view feature representation is essential for layout estimation. Specifically, we first generate a disparity feature volume using the features of the stereo images and then project it to the bird's eye view coordinates. This gives us coarse grained scene structural information. We also apply inverse perspective mapping (IPM) to map the input images and their features to the bird's eye view. This gives us fine grained texture information. The concatenated IPM features with the projected feature volume creates a rich bird's eye view representation which is capable of spatial reasoning. We use this representation to estimate the BEV semantic map. Additionally, we show that using the IPM features as a supervisory signal for stereo features can give an improvement in performance. We demonstrate our approach on two datasets: KITTI dataset and synthetically generated dataset using the CARLA simulator. For both of the datasets, we establish state-of-the-art performance beyond other baselines.
Fast, Accurate Barcode Detection in Ultra High-Resolution Images

Object detection in Ultra High-Resolution (UHR) images has long been a challenging problem in computer vision due to the varying scales of the targeted objects. When it comes to barcode detection, resizing UHR input images to smaller sizes often leads to the loss of pertinent information, while processing them directly is highly inefficient and computationally expensive. In this paper, we propose using semantic segmentation to achieve a fast and accurate detection of barcodes of various scales in UHR images. Our pipeline involves a modified Region Proposal Network (RPN) on images of size greater than 10k$\times$10k and a newly proposed Y-Net segmentation network, followed by a post-processing workflow for fitting a bounding box around each segmented barcode mask. The end-to-end system has a latency of 16 milliseconds, which is $2.5\times$ faster than YOLOv4 and $5.9\times$ faster than Mask R-CNN. In terms of accuracy, our method outperforms YOLOv4 and Mask R-CNN by a $mAP$ of 5.5% and 47.1% respectively, on a synthetic dataset. We have made available the generated synthetic barcode dataset and its code at this http URL.
Standard 3-point Micing Technique (Advanced)

How can you make a guitar sound full, large, and deep even if it was recorded in a bedroom? In this advanced lesson, I introduce the “standard 3-point micing technique,” which picks up the different personalities of an electric guitar and amplifier with a “bright” mic, a “dark” mic, and a “back” mic. This recording approach mirrors the “standard 3-point lighting technique” and its “key” light, “fill” light, and “back” light to form the basis of most lighting approaches for video, film, and still photography. The “standard 3-point micing technique” offers multiple mixing options based on different mic combinations, creative panning, and time delay.
ANALISIS PENGARUH FASILITAS PERPUSTAKAAN TERHADAP MINAT BACA MASYARAKAT PADA PERPUSTAKAAN DAN KEARSIPAN KOTA SUNGAI PENUH

This research aims to conduct a study on the effect of library facilities on people's reading interest in the library and archives of Sungai Penuh city. The research method used is descriptive quantitative method. The selection of respondents in this study came from the community who visited the Sungai Penuh City Library and Archives. The research instrument is the researcher himself and data collection through questionnaires. The data analysis technique in this study used a Likers scale analysis tool. The Effect of Library Facilities on Public Reading Interest in Libraries and Archives of Sungai Penuh City includes library facilities consisting of indicators of location, construction / building conditions and room arrangement. Reading interest which consists of stimulating brain cells, fostering creativity and helping to express thoughts. The Effect of Library Facilities on Public Reading Interest in the Library and Archives of Sungai Penuh City. Then the conclusion is the effect of library facilities on people's reading interest in the Library and Archives of Sungai Penuh City by 14.44% of the library facilities at Sungai Penuh City Library and Archives have an influence on people's reading interest while 85.56% has other influences that the authors do not discuss in this writing.
Reed-Solomon Codes: Error Correcting Codes

In the following pages an introduction of the error correcting codes known as Reed-Solomon codes will be presented together with different approaches for decoding. This is supplemented by a Mathema ...
Massification of culture and art on the example of the activity of modern libraries

This article reviews the transformation of book culture in the context of activity of modern libraries, as well as the impact of government cultural policy upon this phenomenon. Special attention is given to the changes in the activity of libraries within the framework of national project &amp;ldquo;Culture&amp;rdquo; and model standard of the activity of public libraries. In The author underlines the transformation of the phenomenon of library, and the result of these processes reflected in blurring the distinctions between the upmarket and mass, and turning the audience into mass &amp;ldquo;consumer&amp;rdquo;. In the course of this research, the author applies functional analysis, dialectical method, and comparative analysis for consideration of the functions of modern library in relation to the historically first forms of their activity. The novelty consists in systemic and nonlinear analysis of the process of transformation of libraries, taking into account incoherence of this process. Emphasis is placed on the transformation of library as a cultural phenomenon, its essence, which leads to the vague understanding of the concept of library, and thus, result, loss of its uniqueness and dysfunction as a sociocultural institution.
Teacher Digital Empowerment Level in Light of the Kingdom of Saudi Arabia’s Vision “2030”: Reality and Aspirations

This study aims to analyze the level of digital empowerment among male and female teachers in light of Saudi Arabia's vision2030 and investigate the effect of (gender, specialization, and experience) variables on these levels. For this purpose, the researchers prepared the teachers' digital empowerment questionnaire. The study sample comprised of (263) middle and secondary stage teachers. Results revealed that there are statistically significant differences in the levels of digital empowerment due to gender in the axis of the digital communication in favor of female teachers and the axis of the digital environment in favor of male teachers, while there are no statistically significant differences in the levels of the teachers' digital empowerment due to specialization. Also, there are statistically significant differences due to years of experience in the axis of digital evaluation in favor of teachers with more than ten years of experience. In light of these results, the researchers presented a suggested proposal for teachers' digital empowerment to achieve the Kingdom's vision2030. In light of these results, the researchers presented a suggested proposal for teachers' digital empowerment to achieve the Kingdom's vision2030.
Numerical Simulation Analysis of Non-Contact Mechanical Seal Performance based on Neural Network

Aiming at the problem that the traditional numerical simulation analysis method of sealing performance does not fully consider the sealing parameters, the modeling deviation is large, and the error of the numerical simulation analysis is increased. A neural network-based non-contact mechanical seal performance numerical simulation method is studied. Taking the spiral groove of the dry gas seal type as the research object, the geometric model of the dry gas seal is established and the model is meshed. Calculate the performance parameters of the spiral groove dry gas seal, and train the neural network to realize the numerical simulation of the non-contact mechanical seal performance. Constructing a comparative test with the traditional method verifies that the numerical simulation method using neural network effectively improves the accuracy of the numerical simulation and is effective.
The Effect of Lesson Study on Listening Ability of Group B Students at At-Tauhid Palembang Early Childhood

Listening skills are the basic skills for developing children's language skills. The listening ability of children at Paud At-Tauhid Palembang is still low. This can be seen at the time the learning took place some children did not pay attention to the teacher because they were more absorbed in playing and chatting with their friends, and when the teacher asked questions there were only a few children who could answer the questions. Researchers used lesson study with the stages, namely plan do see redesign to improve children's listening skills. This research aims to identify the effect of lesson study on the listening skill of children in Paud At-Tauhid Palembang, covering 3 indicators, namely (1) listening attentively, (2) answering simple questions, (3) reiterating the words heard. It is pre-experimental research with one case study design. The sample was selected using a purposive sampling technique with consideration of the low listening skill of children in class B1. This research involved a total of 20 samples of 9 boys and 11 girls. The data were collected using an observation sheet. The sheet displayed test scores and then they were converted to a value. The treatment was conducted for 3 meetings and each meeting was observed. The collected data were processed by calculating the average listening skill of the children. Based on the result of the t-test, it showed t – count values of 3.78 and t-table values of 1.72 meaning that H0 is rejected and Ha is accepted. Based on this result, it can be concluded that the lesson study provides significant effects on the listening skill of children.
Do Financial Flows Make a Difference in Fragile States?

A rising number of people is living in fragile countries whose weak institutions fail to deliver on decent work and poverty reduction. The chapter discusses to what extent external financial flows, such as remittances, foreign direct investment or official development aid, can substitute for weak institutions. Fragility matters: fragile countries receive different amounts of financial flows than their non-fragile peers, and these flows affect them differently. Fragility lowers the effect of financial flows on growth, living standards and inequality. Foreign direct investment (FDI) has a moderate impact on poverty alleviation, albeit concentrated on employment gains in mining and natural resources. Remittances provide some weak relief for the poor, with less pernicious effects on growth and labour supply than in non-fragile countries. ODA does not improve social outcomes but rather exacerbates fragility. Policymakers should focus on improving upon the positive contribution of FDI and remittances on jobs and growth, avoiding the remittances trap.
Dual-Tree Wavelet Packet CNNs for Image Classification

In this paper, we target an important issue of deep convolutional neural networks (CNNs) — the lack of a mathematical understanding of their properties. We present an explicit formalism that is motivated by the similarities between trained CNN kernels and oriented Gabor filters for addressing this problem. The core idea is to constrain the behavior of convolutional layers by splitting them into a succession of wavelet packet decompositions, which are modulated by freely-trained mixture weights. We evaluate our approach with three variants of wavelet decompositions with the AlexNet architecture for image classification as an example. The first variant relies on the separable wavelet packet transform while the other two implement the 2D dual-tree real and complex wavelet packet transforms, taking advantage of their feature extraction properties such as directional selectivity and shift invariance. Our experiments show that we achieve the accuracy rate of standard AlexNet, but with a significantly lower number of parameters, and an interpretation of the network that is grounded in mathematical theory.
Perangkat Saklar Aktivasi Melalui Pengenalan Suara Manusia

Voice recognition is a rapid and dynamic technology. Voice command or voice recognition is a technology to facilitate human work in daily activities efficiently. The voice recognition helps the user or matches the voice that has been validated previously and it can verify the conformity of the voice with the user’s voice to conduct the identification process. The aim of this study was to see the percentage of succession by using the hardware and software or the application by implementing the V3 Electhouse voice recognition module. In this study, every human being can recognize speech recognition by outputting 7 voice – commands with each human voice. Every human voice with this module producing an amount of 80 voice commands, so that 7 commands output will be tested using direct commands and analyzed using the application to determine the pitch value, tone frequency, key tone, and ct value by recording each human voice. Finally, it will be determined the sound identification that is tested and accurate also sensitive with the voice recognition system tool. This research uses the distance between the microphone with the human voice and the recorded speaker with a distance of 0 – 5 cm, 5 – 10 cm, 10 – 15 cm, 15 – 30 cm, with a maximum distance of 120 cm. The results showed that using human voice commands directly represented a distance of 0-5 cm with a 95% confidence level, and then by using the software analysis the application increased rapidly, namely 96.95%. In the end, it is true if the volume of voice commands is greater, then the proportion of the sound level will be higher when the volume of the command voice is small and the proportion of the voice level will decrease.
Leadership Style and Its Influence on Organisational Commitment: Special reference to the construction industry of UAE

This study was conducted to examine the Leadership Style of Supervisors and how it influenced on organisationalcommitment; special reference to the construction workers in the United Arab Emirates (UAE). UAE is a promisingcountry in the region for infrastructure development and other industries of tourism, and real estate. Studies on Leadershipstyles showed that different kinds of leadership styles of the supervisors were having influence on job dissatisfaction,employee retention issues, reduced productivity, less commitment, and ultimately failure of the company. Therefore,study was focused on different theories on Leadership styles and organisational commitment using pre-testedquestionnaires distributed manually and electronically among 205 employees in the construction sector and out of which150 samples were analyzed by random sampling method. Pearson correlation analysis showed that Consultative (r =0.191), Team Management (r = 0.174) and Impoverished Management (r = -0.161) leadership styles were significantlycorrelated (p-0.05). Also, the prevailing leadership styles of the supervisors of the company were strongly influenced onthe organisational commitment of the employees of the industry. The Supervisors were being able to keep busy all thetime (r = 0.242), the chance to do different things from time to time (r = 0.266) and the way my boss handle his/herworkers (r = 0.235) were the factors significantly correlated (p-0.01). Therefore, it can be concluded that leadership stylehas a strong influence on employees’ organisational commitment.