Reviewerly/exHarmony huggingface dataset:
The Effectiveness of 3-D Compared to 2-D Signage on Recycling Behaviour

Using 3-D objects as examples, rather than 2-D icons on signs, to help people learn recycling categories has shown mixed results in observational studies, so an online experimental study was conducted to attempt to clarify the findings. The main hypothesis was that participants would perform faster and more accurately if they learned the recycling categories through images of 3-D objects rather than by 2-D icons. Furthermore, several exploratory hypotheses were suggested: Participants given both types of signage—3-D + 2-D—would perform better than the 3-D and 2-D conditions on their own, and subjective workload and user engagement would predict differences in performance between conditions. An ANOVA found no differences between any of the three conditions in terms of accuracy of sorting performance, subjective workload, or user engagement. However, the 3-D + 2-D condition demonstrated a significant, small-to-medium sized increase in sorting speed when compared to the other two conditions, suggesting that combined 3-D + 2-D signage speeds up decision making without negatively impacting accuracy. One possible explanation is that redundancy of information in the combined condition reduced uncertainty and led to increased speed. However, replication of this result is required because of some limitations inherent to the current study.
A proposed study to shift TheHorseCourse equine-assisted intervention to VR platform for large-scale reach

A proposed study to shift TheHorseCourse proven equine-assisted intervention to VR platform for large-scale reach
Determination Potential Experts by Application The Apriori Algorithm and the K-Means Algorithm

Experts are people who have special expertise who provide services based on their expertise. The company has experts in handling projects that will be carried out for the progress of the company. The importance of the quality of experts in the company can improve the quality of human resources. The Apriori algorithm is a data mining method that has the aim of looking for association patterns based on the project being carried out so that they can be identified by experts who are often used in handling projects. Furthermore, a data mining approach is needed to classify experts with the K-means algorithm used. This study combines the Apriori and K-means algorithms, by grouping experts based on the handling of the project they are working on.
ChoiiEdits / Muhammad Farid Reza Mohsein

The business is named ChoiiEdits due to nickname given by the owner and the services provided by the company. The main purpose of the business to conduct business by providing services on editing videos and photos professionally. It is planned that the business will be located around Sg.Dua (Island) near the USM campus. This is mind is hopefully may generate income around the area as the population surrounding it mostly consist of student and residential people. The business is conducted on a rented property in the mentioned area. The team running the business will consist of five people with each running their own responsibility respectively. All equipment and furniture needed for the business are analysed with the total units and the total cost. Such examples are of are office tables, desktops, cameras and others. The total administrate budget is calculated after analysing all the equipment required. Our targeted customers are mostly consisting of students and event planners or those whom in need of our services. On promoting our business, it is concluded that various strategies will be used from digitally promoting to printed mediums. All cost of marketing is concluded at the end of the discussion. Various equipment and materials will be needed to be implemented in order to run the business. Such materials are such as fabric papers and printer ink will be used up quite often in a monthly order. Equipment such as printers, cameras, studio and others will be used to run the business. All these materials and equipment are calculated in order to list down the total cost. At the end, a financial plan is organized is order to predict the business status financially after starting out. The project implementation and sources of finance indicated the financial structure of the business. A cash flow statement is then order to identify the business future by predicted weather the business is beneficial or a deficit. In case of a deficit outcome, a new proper plan will be needed to be constructed in order to create a proper and beneficial business.
Managerial Practices Influence on Employees Behavior among Academic Staff in Syria: DOI: 10.46988/IJIHRM.01.02.2020.007

Reports from Syria and MENA areas in different domains such as manufacturing industries claimed that employees’ behavior, and performance are at low level. Scholars stated that the relations between managerial practices and employees’ behavior has not been studied well and still need more investigation. Therefore, this study aimed to examine the relationship between organisational managerial practices (Such as empowerment, compensation, teamwork) and h employees’ behavior. Three theories form the theoretical framework for this study; the job demands-resources model, theory of work adjustment (TWA), and Herzberg’s motivator-hygiene theory. The proposed model has nine HRM practices that have relations towards employees’ behavior and PMS system.
Highly Efficient and Pure Single Photon Streams at Room-Temperature by Deterministic Nano Positioning of Quantum Emitters

We fabricate several nanoantenna devices that enhance the directionality (over 80%) and emission rate (by a factor of 20) of a room-temperature quantum dot thus achieving a single photon brightness enhancement factor of over 1000.
Discovering Topics from the Titles of the Indian LIS Theses

A lot of text data is being generated on the web in the form of scholarly articles, doctoral thesis, social media, library databases, and data archives. They are easy to use but complicated to process for research works. That is exactly why text mining is required and topic modeling is one of the most important techniques involved in text mining. In this paper, an attempt has been made to discover topics from the thesis titles (uploaded theses) in the field of Library and Information Science (LIS). For this work, the text data (n=2132) has been obtained from the Shodhganga. Then, topic modeling through Latent Dirichlet Allocation (LDA) has been applied. After employing preliminary investigation, the findings show: State universities of India have the highest contribution of the thesis (78.06%); most theses (106) belong to Karnatak University, and 60.83% of thesis falls under the period 2011-2020. The main results of this paper are (a) The keyword “library” (0.204) has the highest score regarding 10 topics and “Library use” can be inferred as the major topic; (b) the keywords “information”, “technology”, “communication”, “survey”, “comparative”, “plant”, “scientist”, “city”, “support”, and “small” were discussed over 266 titles; and (c) “study”, “university libraries”, and “information-seeking behaviour’ are the most frequent n-grams appeared in the titles. This work can be taken towards future research for more improvement and new applications.
Low-Resource Machine Translation Based on Asynchronous Dynamic Programming

Reinforcement learning has been proved to be effective in handling low resource machine translation tasks and different sampling methods of reinforcement learning affect the performance of the model. The reward for generating translation is determined by the scalability and iteration of the sampling strategy, so it is difficult for the model to achieve bias-variance trade-off. Therefore, according to the poor ability of the model to analyze the structure of the sequence in low-resource tasks, this paper proposes a neural machine translation model parameter optimization method for asynchronous dynamic programming training strategies. In view of the experience priority situation under the current strategy, each selective sampling experience not only improves the value of the experience state, but also avoids the high computational resource consumption inherent in traditional valuation methods (such as dynamic programming). We verify the Mongolian-Chinese and Uyghur-Chinese tasks on CCMT2019. The result shows that our method has improved the quality of low-resource neural machine translation model compared with general reinforcement learning methods, which fully demonstrates the effectiveness of our method.
A classification model to identify public opinion on the lockdown policy using Indonesian tweets

The spread of the Pneumonia Coronavirus Disease 2019 (COVID-19) or Corona virus has affected several industrial sectors in Indonesia, particularly in the tourism and economy sector. Corona virus has been declared by the World Health Organization (WHO) as a pandemic that has spread to various parts of the world including Indonesia. In this regard, the Government of the Republic of Indonesia then declared the Corona virus as a non-natural national disaster. The Case Fatality Rate (CFR) of the Corona virus is 8.37%, placing Indonesia as one of the countries with the highest mortality ratio in the world. Currently, the Government of Indonesia has not implemented a lockdown policy, but there are some people who deplore the government's firmness in imposing the policy and there are also those who support the government for not making the lockdown status decision. Therefore, the lockdown is still a debate in the public. This can be read on social media Twitter, where many people express their opinions about the lockdown policy in Indonesia. Based on this polemic, this research has obtained a classification model that can differentiate between pro and contra tweets on the lockdown policy topics using Indonesian tweets. By using the Bernoulli NB algorithm as a classification model, an optimal value with the highest f-measure score of 88,57% was obtained. This model can be used to assess the effectiveness of communication in implementing lockdown policy to slow the spread of COVID-19 because it can identify public opinion about the trends in supporting or rejecting the lockdown policy. © 2021 Little Lion Scientific
SecCheck: A Tool For Espy The Software Amenabilities For Surveillance In JAVA Code

Amenabilities are blemishes within the spring cipher which preserve be real optimistic by intruder headed for lacerate the convention. Amenabilities is the fork of three prerequisites: a scheme predisposition otherwise blemish, intruder official welcoming headed for the blemish, and assailant latent near exploit the blemish. Anticipated SecCheck tool contrivance stumble on ten Amenabilities in Java spring cipher. Projected apparatus acquire Java spring proceedings as solution at some stage in and stores apiece stripe of participation in reminiscence. Subsequently it scrutinize apiece contour of participation pedestal on dynamic with the intention of origin Amenabilities.
The Comparative Characteristic of Modern Online Tools for Testing Knowledge in the Process of Distance Learning

Most of the educational institutions in Ukraine were forced to switch to distance learning, which is why there arose the question about the availability of technical means to ensure the fullness of educational process. The article investigates modern systems of testing students' knowledge in the process of distance education. Currently, there are quite a few LMS (learning management systems) that can optimize the learning process of distance education. The works of scientists related to the problems of organizing effective learning and the complexity of the transition to distance learning are considered. This article assumes the method of testing not on-ly as a tool to assess the level and quality of learning, but also as a means to obtain recommen-dations for improving the learning process in the whole. Based on the results of the analysis, a comparative description was created and an assessment of the suitability for intermediate control of knowledge of primary and secondary school students, the most common at this stage of school distance learning online knowledge testing tools. Thus the advantages and disad-vantages of these tools are revealed. As a consequence the most universal systems that can fully provide the learning process in terms of distance education and the most convenient tools for assessing knowledge are identified.
Content analysis of library websites of central universities of North East India

Library websites play an essential role in collecting and sharing information or sources for users.Today it is a common platform to interact with users without their behavior.A website survey certainly helps us to identify and analyse available content to obtain rich and suitable information by evaluating the current website's improvement.The present study evaluates the contents of the nine central university library websites of the North East India.A checklist has been developed to collect library facilities, library collections, university webpage accessibility, link searches, and the retrieval interface.The purpose of this article is to help website developers, and administrators better understand the current state of these university websites so that they may provide more informative, up-to-date information, authentic information, user-friendly, and dynamic methods to users based on their needs.
AI CHESS GAME WITH VOICE COMMANDS

The voice chess game is a simple game that plays based on the commands given by the player. Concurrently it is complicated to make decisions while moving the pieces. Voice-Controlled chess is designed for  a person who cannot use their arms, due to their disability or if they are preoccupied with something else, perhaps they can  deliver voice commands to play the game , Our goal is to provide better options for disables.This paper tells us how python libraries are used in chess games.Here the player has few options to choose  the gaming menu, i.e. the player can choose to play the game using mouse clicks or using voice commands. Also the player can choose their opponents. The player can play against the AI nor the player can choose a play with another friend-player.If the player chooses to play against AI then the player can either play with the help of mouse clicks or voice commands.The player can either flip the board each time( the player plays)if the player opts to play against the friend player, or doesn't flip each time the player gets the turn.
Fractional Wavelet Filter Based Discrete Wavelet Transform and SPIHT for Hyperspectral Image Compression

This paper presents a novel wavelet-based image coder with low memory and low complexity for achieving better compression efficiency. The presented encoder employs the Fractional Wavelet Filter (FrWF) to calculate DWT Coefficients, which are quantized and encoded using SPIHT algorithm. Compression of Hyperspectral data is a challenge as a third dimension is added into it. It has spectral and spatial correlations, exploiting both the correlations, compression can be achieved. FrWF and SPIHT gives good compression to these images, simulation results have been shown by plotting the graph between PSNR and Bit rate. Hyperspectral images are temporally decomposed using convolution and then spatially decomposed using FrWF to achieve 3D wavelet transform and then 2D SPIHT has been done on each frames to achieve the encoded bitstream. To reconstruct the original image inverse procedure has been done. The effect of increasing temporal decomposition has been shown by plotting graphs between PSNR and Bit rate. Also the effect of filter lengths by using Daubechies 9/7 and 5/3 filters in temporal directions has been shown.
Peer Review Jurnal Nasional Terakreditasi Sinta 2, Conversational Implicature Analysis in “Kingdom of Heaven” Movie Script by William Monahan

This study was designed to discover the types of conversational implicature and the non-observance maxim of cooperative principles expressed by the characters in the Kingdom of Heaven movie script by William Monahan. The theory of Grice was applied to analyze the conversational implicature, and the qualitative approach is used to explain the conversational implicatures. After analyzing the movie, we discovered particularized implicatures as the most frequent conversational implicatures in the movie script with 14 occurrences, followed by six occurrences of generalized implicatures. The finding also revealed that the frequent use of flouting maxim of quantity occurred more frequent with 14 out of the total 20 excerpts, with violating maxim found only three times in the movie script. From this study, both findings suggested the reason behind the frequent use of flouting maxim compare to violating maxim in conversational implicature is because the speaker assumes that they will be in a safe position, and then expect the hearer to understand their points, as the speaker did not intentionally manipulate or mislead the hearer.
Elon Musk clarifies stance on cryptocurrencies as prices fall

Tesla CEO Elon Musk on Thursday clarified his thoughts on cryptocurrencies after comments he made earlier in the week have been credited with sending the markets lower.
Reference and Truth

I apply the notions of alethic reference introduced in previous work in the construction of several classical semantic truth theories. Furthermore, I provide prooftheoretic versions of those notions and use them to formulate axiomatic disquotational truth systems over classical logic. Some of these systems are shown to besound, proof-theoretically strong, and compare well to the most renowned systemsin the literature.
Technology Blueprint Urban Art Enterprise / Nurul Athirah Ramli

Nowadays, manufacturing industry more interested in-home products where people like to have their own furniture. Many styles of furniture are manufactured today in a variety of looks, design, colours and advantages. Everyone has their own thoughts about furniture ideas that they care about.The name of this business is Urban Art Enterprise with the slogan “Your Imagination, Our Creation”. This slogan to ensures the design of the product will meet the customer demands. The company of Urban Art Enterprise is focuses on manufacturing and selling furniture such as closet. Urban Art Enterprise is a sole-proprietorship company that has been established on 1st January 2017. I am choosing this name because it gives the meaning of art for certain products. This art will be of great benefit to any human being. This idea would show the people that this business can manufacture and distribute the latest product in industry suitable for all ages.
A Solution of Human-Computer Remote Interaction with Tactile Feedback

In human-computer interaction, we need to use human's multiple sensory channels and motion channels to improve its naturalness and efficiency. These channels include voice, handwriting, posture, vision, expression, etc. Visual-based human-computer interaction systems are often mentioned in the literature. The system uses a camera to monitor and track the operator's posture, and sets corresponding commands to control the movement of the robot. On top of that, we add tactile feedback to allow the robot to accomplish more tasks. In the vision system, first we obtain color images and depth images through a depth camera. Secondly, we estimate the human posture through OpenPose. Finally, we map the motion of the human arm to the motion of the robotic arm. In the tactile system, first we control the movement of the magic hand through the exoskeleton. Secondly, we obtain the force values of the fingers through the magic hand. Finally, we provide force feedback to each finger through the exoskeleton.
Entanglement Assisted Communication vs. Classical Optical Communication

We demonstrate that under imperfect preshared entanglement-distribution, entanglement-assisted (EA) communication can be inferior compared to classical communication. When both signal and idler channels are used for classical transmission then classical capacity is always higher than EA-capacity.
Machine Learning for Deep Image Manipulation

Author(s): Park, Taesung | Advisor(s): Efros, Alexei A | Abstract: Common types of image editing methods focus on low-level characteristics. In this thesis, I leverage machine learning to enable image editing that operates at a higher conceptual level. Fundamentally, the proposed methods aim to factor out the visual information that must be maintained in the editing process from the information that may be edited by incorporating the generic visual knowledge. As a result, the new methods can transform images in human-interpretable ways, such as turning one object into another, stylizing photographs into a specific artist's paintings, or adding sunset to a photo taken in daylight. We explore designing such methods in different settings with varying amounts of supervision: per-pixel labels, per-image labels, and no labels. First, using per-pixel supervision, I propose a new deep neural network architecture that can synthesize realistic images from scene layouts and optional target styles. Second, using per-image supervision, I explore the task of domain translation, where an input image of one class is transformed into another. Lastly, I design a framework that can still discover disentangled manipulation of structure and texture from a collection of unlabeled images. We present convincing visuals in a wide range of applications including interactive photo drawing tools, object transfiguration, domain gap reduction between virtual and real environment, and realistic manipulation of image textures.
Lo post-digital en tiempos de pandemia: un comentario sobre la crisis del Covid-19 y sus epistemologías políticas

In the article, the alleged and affirmed dualism that exists between an online life and an offline life is questioned. In his opinion, phenomenologically it is not sustainable. The author maintains that contemporary life is unthinkable without technological development and our constant and daily connection. The online experience is an embodied experience. Within the framework of this analysis, he argues that the experience of the virus is an experience of risk, contextualized from technology (E. A.). Reprinted by permission from Springer: Postdigital Science and Education, The Postdigital in Pandemic Times: a Comment on the Covid-19 Crisis and its Political Epistemologies, Mark Coeckelbergh, © 2020