Reviewerly/exHarmony huggingface dataset:
ANALISIS SITIRAN DAN KETERSEDIAAN SKRIPSI PROGRAM STUDI SASTRA INDONESIA TAHUN 2019-2021 DI PERPUSTAKAAN UNIVERSITAS NEGERI PADANG

The limited collection as a source of information in compiling a research framework is a problem that is often faced by students, so the library must evaluate the collection to find out how the collection is used by the user. There are several methods that can be used to evaluate library collections, one of which is to use citation analysis. The purpose of this study is to describe the characteristics of literature based on type, language of instruction, author, title, and half life) and its availability in the UNP Library. This research is a quantitative research with descriptive method. The population in this study were 105 Indonesian Literature UNP students' thesis for 2019 - 2021 and the sample used was 40 theses. The instrument in this study was the use of collection recording tables. Data collection was carried out using the documentation method through a list of citation data fields. Data analysis used the percentage formula and interpreted with percentage criteria then made a cumulative frequency distribution table and then calculated the half life of the literature. The results of this study were that the book was the most cited type of collection at 64.2%, the most cited book title was Qualitative Research Methodology at 19.3%, the most frequently cited journal was the Language and Literature Journal published by Padang State University 39.4%, the most-cited author is Hasanuddin WS as much as 11.4%, the most-cited language is Indonesian 98.8%, the half-life of a book is 14 years, the half-life of a journal is 12 years and the collection utilization rate is The Padang State University Library in the 2019-2021 Indonesian Literature thesis is 66.7% available literature and 33.3% unavailable literature. It can be concluded that the level of utilization of the collections of the Padang State University Library in Indonesian Literary Thesis 2019-2021 is high.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPLEMENTASI KEBIJAKAN SISTEM PELAYANAN TERPADU SATU PINTU (PTSP) PADA LAYANAN UPT PERPUSTAKAAN UNIVERSITAS ANDALAS

This study aims to analyze the influence of Andalas communication, analyze the influence of Andalas resources, analyze the influence of dispositions, analyze the influence of bureaucratic structures and analyze communication, resources, dispositions, and bureaucratic structures simultaneously on the implementation of the One Stop Service (PTSP) policy at UPT Library Andalas University. This type of research is quantitative research. The population in this study were the Coordinators and all One Stop Service (PTSP) officers at UPT Andalas University, totaling 9 people. The instruments used in this study used observation guidelines, questionnaire guidelines, and interview guidelines. Data collection techniques were carried out by means of observation, questionnaires, and interviews. The data analysis requirements test in this study is the instrument test, the classical assumption test and the hypothesis test. The steps to analyze the data are data collection, editing, coding, tabulating data, testing data quality, describing data and testing hypotheses. The results of the research show that communication, resources, position have no effect on policy implementation. While bureaucratic structure influences policy implementation, communication, resources, position and bureaucratic structure together show a large influence on policy implementation.
Spatial Multiomics Powers Pathology Prediction

Genetic Engineering & Biotechnology NewsVol. 43, No. 1 Biotech HorizonSpatial Multiomics Powers Pathology PredictionAnjali Sarkar, PhDAnjali Sarkar, PhDSearch for more papers by this authorPublished Online:11 Jan 2023https://doi.org/10.1089/gen.43.01.09AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 43Issue 1Jan 2023 Information© 2023 by GEN PublishingTo cite this article:Anjali Sarkar, PhD.Spatial Multiomics Powers Pathology Prediction.Genetic Engineering & Biotechnology News.Jan 2023.24, 26-27, 33.http://doi.org/10.1089/gen.43.01.09Published in Volume: 43 Issue 1: January 11, 2023PDF download
Correlation between the Academic Self-efficacy and Learning Flow in College Students Majoring in Beauty

For this study, a survey was conducted with students majoring in beauty from 4 colleges located in Gyeonggi-do from September 1 to September 30, 2022 to find out the correlation between academic self-efficacy and learning flow of those majoring in beauty. Depending on gender and age, the difference in self-efficacy of college students majoring in beauty showed that, in terms of confidence, men’s was slightly higher than women’s, and the first grade’s was slightly higher than the second grade’s. In the case of learning flow, there was no significant difference between cognitive and behavioral flow, but men had higher in emotional flow than women. By grade, cognitive flow, behavioral flow, and emotional flow were all higher in the first grade than in the second grade. As a result of examining the effect of self efficacy on learning flow, self-regulatory efficacy among the subfactors showed the greatest effect on cognitive flow and what had a significant effect on behavioral and emotional flow was in order of self-regulatory efficacy, task difficulty, and confidence. Through the result of multiple regression analysis of self-efficacy and learning flow, it can be said that learning flow can be improved by improving self-efficacy. Based on these results, an education and a guidance should be progressed in the way how self-efficacy can be improved.
Decisional Issues for Human-Robot Joint Action

This talk will address some key decisional issues that are necessary for a cognitive and interactive robot which shares space and tasks with humans. We adopt a constructive approach based on the identification and the effective implementation of individual and collaborative skills. The system is comprehensive since it aims at dealing with a complete set of abilities articulated so that the robot controller is effectively able to conduct in a flexible and fluent manner a human-robot joint action seen as a collaborative problem solving and task achievement. These abilities include geometric reasoning and situation assessment based essentially on perspective-taking and affordances, management and exploitation of each agent (human and robot) knowledge in a separate cognitive model, human-aware task planning and interleaved execution of shared plans. We will also discuss the key issues linked to the pertinence and the acceptability by the human of the robot behaviour, and how this influence qualitatively the robot decisional, planning, control and communication processes.
QoE-oriented Adaptive Video Streaming with Edge-Client Collaborative Super-Resolution

In mobile video streaming, the ever-increasing user expectations for Quality of Experience (QoE) have prompted the integration of video super-resolution and adaptive bitrate techniques on either the mobile device or the edge server. By reconstructing high-resolution frames from low-resolution frames that have been downloaded, both high video quality and a short rebuffer time can be enjoyed. However, the exiting methods merely leverage the computing resources of the edge server or mobile device, leaving significant room for further QoE improvement. In this paper, we present an adaptive Video Streaming system with Edge-Client collaborative Super-resolution, named VSECS, to enhance users' QoE by simultaneously utilizing the computing resources of both the edge server and mobile device to reconstruct high-resolution frames collaboratively. First, we deploy a large-scale super-resolution model on the edge server and a lightweight model on the mobile device. Then, we exploit the Asynchronous Advantage Actor-Critic (A3C) algorithm to make decisions regarding the download resolution, the reconstructed target resolution, and the workload share of the mobile device, considering the network bandwidth, computing resources, and reconstruction complexity of video tiles. Furthermore, we utilize the branching actor network to enable the agent to converge to good policy stably. Trace-driven simulations on real-world bandwidth traces demonstrate that our approach can improve QoE by up to 10% compared to the state-of-the-art video streaming solutions.
PrinType

We present PrinType, a fingerprint recognition based typing technique for virtual reality. Different regions of fingers covered by friction ridges are assigned to different keys (i.e. letters, numbers, punctuation, or functions). Once the thumb-worn fingerprint sensor touches a finger, the contact region (and its key) is recognized by matching the current image with registered templates. Using only a small sensor, PrinType turns each segment of all fingers into a touchable key. We designed keyboard layouts corresponding to three interaction sub-spaces: whole finger keyboard, fingertip keyboard, and single-handed keyboard. A 12-person user study was conducted to evaluate the performance of different strategies. Our user evaluation showed that participants achieved an average of 29.56, 32.38, and 34.22 WPM with 0.79%, 0.20%, and 0.21% not corrected error rate in the three strategies. In addition, we provided a detailed analysis of various micro metrics to further understand user performance and technical characteristics. Overall, PrinType is favored by users for its usability, efficiency, and novelty.
Post-Post-HCI

column Share on Post-Post-HCI Author: Gopinaath Kannabiran HCI researcher HCI researcherView Profile Authors Info & Claims InteractionsVolume 30Issue 1January - February 2023pp 19–21https://doi.org/10.1145/3573207Published:11 January 2023Publication History 0citation245DownloadsMetricsTotal Citations0Total Downloads245Last 12 Months245Last 6 weeks14 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Silicon photonics for energy-efficient neuromorphic computing

New machine learning algorithms such as deep neural networks and the availability of large datasets have created a large drive towards new types of hardware capable of executing these algorithms with higher energy-efficiency. Recently, silicon photonics has emerged as a promising hardware platform for neuromorphic computing due to its inherent capability to process linear and non-linear operations and transmit a high bandwidth of data in parallel. At Hewlett Packard Labs, an energy-efficient dense-wavelength division multiplexing (DWDM) silicon photonics platform has been developed as the underlying foundation for innovative neuromorphic computing architectures. The latest research on our silicon photonic neuromorphic platform will be presented and discussed.
Robots, Autonomous Systems, AI, and the Debate About a Limited Form of Legal Personality

It is possible that there are good reasons not to recognise a legal personality for autonomous systems, but there are none for not deepening the debate. On 16 February 2017, the European Parliament asked the Commission to explore the possibility of recognising a specific legal status for robots, so that at least the most sophisticated autonomous robots could be held as electronic persons liable for compensation for the damage they cause. The reaction has been one of complete closure. However, there are several good reasons to critically re-examine the reasons for this opposition in the light of both civil and criminal liability.
Social Robots in Constructive Conflicts

As social robots increase in capabilities and become ubiquitous parts of the environment, there will be more conflicts between humans and technological agents. Conflict is not necessarily bad: it can provide opportunities for sharing information, calibrating trust, and establishing common situation awareness—provided the conflict plays out in a reasonable manner. Social robots should be designed to act in conflict with humans gracefully and artfully, in order to use conflict as a mode of communication, limiting the adverse effects of confusion, frustration, and deadlock.
Deep Neural Network Inference via Edge Computing: On-Demand Accelerating

Deep Neural Networks (DNN) are a vital technology for allowing Artificial Intelligence applications in the 5G future, and they’ve gotten a lot of press. Complex DNN-based activities are difficult to run on mobile devices. Edge computing was introduced in this research as a solution to these problems. Edge makes use of two design features: DNN partitioning and DNN right-sizing. The training technique provides information about the training. Preserving Edge is a very dynamic filtering approach for video images. Filters for edge preservation are vital tools for the many tasks involved in image processing and transformation. Nonlinear algorithms calculated the filtered grey value according to the contents of a certain neighborhood. Only for the average pixels evaluated with the same grey values are these taken on the basis of the list of neighborhood pixels. While one of their common features is the conservation of the rim, each edge preserving filter is characterized by its own individual algorithm.
Noise Reduction in Audio File Using Spectral Gatting and FFT by Python Modules

Future telecommunication will more and more rely on proper noise reduction techniques with less convolution. Speech communication, speech augmentation, and speech transmission have quite a great challenge regarding noise in audio transmissions. Therefore, the most effective noise cancellation technique should be developed such that it is coherent and active noise cancellation and rapid transmission rate, and a significant proportion of the noise is suppressed. Fast Fourier Transmission (FTT) and Spectral gating techniques are a handful of algorithms that have been often used during the reduction of noise. These algorithms have indeed been put into effect to suppress any noise, especially noise from fans in the room, horn sounds and dog barks on the streets. The intended audio is generated to use the recorded audio signal, which will then be handled using the aforementioned techniques to provide the clearest, least-noisy audio possible. To determine whether the system the method is and how well the noise in the audio signal is being reduced, compare the SNR levels of the raw audio file and the noise-reduced audio signal. For variable SNR in a very noisy environment, noise cancellation and noise reduction techniques of an audio signal are essential. When compared to the many models and research articles currently in existence, this one has been concluded that this methodology will be much more productive.
The development of chemical bonding e-modules using Sigil software

This study aims to develop the Chemical Bonding E-modules and determine the level of validity and student responses to the e-modules using the Sigil software. This is a research and development (R&D) method using the ADDIE research model (Analyze, Design, Develop, Implement, and Evaluate). The subjects in this study were second-semester students who were studying chemical bonding. The instrument employed a non-test instrument in the form of a questionnaire. The data analysis technique used was qualitative and quantitative data analysis based on validation results of material experts, media experts, and student responses to the Chemical Bonding E-modules that have been developed. The level of validation obtained from the validation of the feasibility of the e-modules for the feasibility of content, language, presentation, and media are 3.47, 3.80, 3.58, and 3.70 with the valid category which did not require revision. While the results of the student response questionnaire obtained results of 80% with a very good category, the developed e-modules using Sigil software are feasible to use.
SPACE SHOOTER GAME USING PYTON

Reminiscent of many "shoot 'em up" video games from the early eighties-Space Shooter is an arcade game developed using Python as a programming language.Although built to be simplistic, the mechanics of this game are pretty dynamic.Moreover, the game also has engaging gameplay.Pygame is a cross-platform set of Python modules which is used to create video games.It consists of computer graphics and sound libraries designed to be used with the Python programming language.Pygame was officially written by Pete Shinners to replace PySDL.Pygame is suitable to create client-side applications that can be potentially wrapped in a standalone executable.The project basically uses the pygame module.We use images and animate the images using pygame module.We use pygame module to do button mapping and several other display function.We use classes to call functions after every iteration of the game level.
Research on Mathematics Activity Teaching in Secondary Vocational Schools from the Perspective of Literacy Improvement

The essence of the teaching reform is to improve students' comprehensive professional ability, so how to build an efficient classroom, enhance students' mathematics literacy has become an unavoidable problem faced by mathematics teachers in secondary vocational schools.This paper introduces the teaching of mathematics activities based on magnet small blackboard.The design of teaching links focuses on how students learn, pays attention to students' participation in learning, graphic analysis and the improvement of mathematical operation ability, helps students transform the learning experience of mathematics activities into the direction of mathematics core literacy, and truly realizes the landing and improvement of students' mathematics core literacy.
Lurking with paedophile hunters

The Internet is an omnipresent medium that intersects our everyday lives. Since the late 1990s, technologies that allow users to access information and to communicate over the World Wide Web have become widespread. At the same time, criminals and criminal communities have exploited these new avenues of virtual socio-cultural forms to find innovative ways to commit crime. These developments represent multiple and expanding opportunities for interdisciplinary research, and one such research frontier within the social sciences is virtual ethnography. This chapter explores the application of the ethnographic method to the study of virtual communities and interaction, and the potential benefits this method brings to policing research. Its focus is on the method of lurking (covert non-participant observation), and how researchers have adopted this method for collecting and exploring virtual crime, criminal and deviant groups, as well as the policing responses to cybercrime. The chapter also explores some of the key ethical challenges and limitations that virtual ethnography and lurking pose for Internet researchers.
A Study on smart manufacturing influencing factors for performance improvement of SMEs

Purpose The purpose of this study is to find out whether any factors inside or outside the company significantly affect the corporate performance of smart factory construction for SMEs that are aware, planning, or in the process of building smart factories. Methods For smart factory construction and follow-up management, a questionnaire was distributed to SMEs that received Meister support, and SPSS 23.0 and AMOS were used for statistical processing for empirical analysis of 347 collected data. Results The CEO's entrepreneurship, financial readiness, and Meister capabilities, which are internal elements of SMEs, all had a significant impact on smart manufacturing. In addition, it was found that smart manufacturing had a significant effect on corporate performance. Conclusion In order to improve the speed of transition to smart factories in the manufacturing industry, it is necessary to select and support companies led by CEO with entrepreneurship and companies that meet financial readiness. In addition, when Meister, who can effectively manage resistance to change and innovation within the SME, is dispatched, the completion of smart manufacturing will be accelerated and corporate performance and competitiveness will be strengthened.
The Effect of Dynamic Capabilities on Corporate Performance, Mediation Effect of Digital Manufacturing Capabilities

Purpose This study is to explore ways to establish effective digital transformation strategies. Specifically, it is the identification of dynamic capabilities that support the development of digital manufacturing capabilities, and the relationship between digital manufacturing capabilities and corporate performance Methods This empirical research method in relation to dynamic capabilities, digital manufacturing capabilities and corporate performance is analyzed using hierarchical regression analysis. Results Dynamic capability factors affecting corporate performance are financial resources, Trial&Error Approach and innovation promotion culture/value sharing, digital manufacturing capabilities have a mediating effect on dynamic capabilities and corporate performance, and environmental dynamics have a regulatory effect. Conclusion In order to generate results in the digital transformation process, dynamic capabilities and digital manufacturing capabilities based on them must be developed.
THE DEMOCRATIC EXPERIENCE OF TIMBRE IN TYSHAWN SOREY'S <i>AUTOSCHEDIASMS</i>

Abstract Autoschediasms , the American composer and multi-instrumentalist Tyshawn Sorey's conception of spontaneous composition, casts the participants as equals. The decision-making power is balanced between Sorey and the instrumentalists. Focusing on the 2020 performance of Autoschediasms by Sorey and the contemporary-music ensemble Alarm Will Sound, presented as part of the ensemble's Video Chat Variations series, this article limns the experience of Autoschediasms and asks: what is the sensory counterpart to Sorey's democratic ethos? In Autoschediasms , I argue, it is timbre that synchronises the performers’ interactions, in all their care and openness, with the pressures and freedoms of listening. Timbre activates absorbing, unforeseen, manifold variation in the composition. This sonic impression of democratic music-making around and across difference comes to reflect the conditions of radical humanity and vulnerability inherent in spontaneity. Through close listening, and in dialogue with critical improvisation studies and timbre theory, I suggest that Autoschediasms illuminates the ethical dimension of timbre: what timbre can do for the aspiration towards musical inclusivity.
Jack Sheen - Jack Sheen, Sub. Octandre Ensemble, Hargreaves. SN Variations, SNCD11.

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