Reviewerly/exHarmony huggingface dataset:
TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Graph Neural Networks</i> (GNN) have evolved as powerful models for graph representation learning. Sampling-based training methods have been introduced to train large graphs without compromising accuracy. However, it is challenging for the existing GNN systems to effectively utilize multi-core accelerators, especially GPUs, due to a large number of atomic operations and unbalanced workload originating from the serial execution of multiple GNN processing stages. In this paper, we propose a combination of optimization techniques to accelerate the end-to-end performance of the sampling-based GNN training process. Specifically, we propose an adaptive share memory-based sampling technique and a degree-guided thread block scheduling strategy to optimize the graph sampling. Further, based on the observations of resource demand in different training stages, we propose an asynchronous pipeline-based scheduling method, which accelerates the GNN training by decoupling different training stages into a pipeline and therefore improves the GPU resource utilization significantly. The experimental results show that compared with the existing work, the proposed methods can achieve up to 5.6X performance speedup in the end-to-end performance.
Technological Innovation in Libraries

As per Dr. S. R. Ranganathan, the library is a mountain establishment. Even in today’s digital age, this law holds true. The traditional library is being converted into a digital library and the new name library is being used in the library today and the name of the library has also been changed and it is called Library and Resource Centre instead of library. In the library Subsequently, numerous administrations have started using computers in late 1960s. By early 1970s several indexing and Conceptualizing journals were available for library submissions, Index Medicus, Chemical abstracts, Biological Summaries etc. Far from being a simple source of books and media, today’s libraries serve as irreplaceable properties for everything from data analytics to 3-D printing and opening lessons in coding. Today modern library to take in the changing faces of its patrons and respond consequently. Every demographic is dissimilar, but there are countless ways that the modern library can answer to recent trends and offer data and resources that are both advanced and pertinent to its users. Digital librarian and self-determining consultant, helps us look at how libraries are using technology to improve facilities for customers today. Advanced libraries are using digital tools like Digital maker labs offer customers the chance to learn and use some of the most cutting-edge technology. From 3D printers, Computer controlled CNC (Computer Numerical Control) routers, to hot presses for T-shirts and Laser cutter-engravers, Maker Labs are popping up in libraries all over the Abroad.
The Challenge of Digital Accounting in Facing the Industrial Revolution 4.0

The purposes of this research are to describe the challenges companies must have to face in the industrial revolution 4.0 of a modern accounting information system. The method used for this research was qualitative descriptive, which was provided an explanation using analysis and interview. The results of this study were found that the industrial revolution 4.0 greatly influenced all aspects of the business elements including accounting information systems, how an information system can be understood and applied by every company. The research concluded that the use of accounting information systems in the face of industrial revolution 4.0 is needed especially to facilitate decision making for companies. An appropriate accounting information system can support the realization of an integrated, modern and competitive international system.
Implementation of Linear Congruent Methods and Multiplication Random Numbers for Academic Potential Tests

APT (Academic Potential Test) is a test that aims to measure a person's ability in the academic field in general. In the implementation of the APT exam, it is carried out in the admission of new students and its application online, using a website-based application, each prospective new student will be given a login account to take the APT exam simultaneously and at a predetermined time. While the process can be accessed anywhere with an internet network. The implementation of the APT exam does not always run smoothly or well, in fact almost every time the APT exam is carried out there are problems, problems that arise because the questions given do not have differences in workmanship which causes the APT exam results to be impure and accurate. To overcome the problems that continue to occur in the implementation of the APT exam, an algorithm or method is needed that can randomize the questions in the APT exam. In this study, the Linear Congruent (LCM) and Multiplicative Random Number Generator (Multiplicative RNG) methods are random methods that are applied to randomize the APT exam questions so that the APT exam question packages can have different question positions and between question packages and the results of the application of this method will be compared to measures how complex the randomization is for each method. By using the LCM model the level of complexity of the questions increases to 100% while by using the MRNG method the level of complexity of the questions increases to 50%.&#x0D;
Nikolay Soloviev as a Criticm of Chernyshevsky’s Aesthetic Theory

Dissertation of Nikolay Chernyshevsky “The Aesthetic Relationship of Art to Reality” (1855) is one of the most controversial works in the history of humanitarian sciences. Even during the author’s life, it was estimated ambiguous (and also sharply negative). Among the early responses to this work, a prominent place is occupied by the critical cycle of Nikolay Ivanovich Solovyov (1831–1874) “The Art Issue” (1865). The critic analyzes Chernyshevsky’s concepts of the beautiful, the sublime, the tragic and comes to the conclusion that his definitions are untenable. Solovyov also finds little solidity in Chernyshevsky’s judgments about certain kinds of art, noting this tendency to emphasize the imperfection of artistic works in comparison with nature. Solovyov’s main conclusions are as follows: Chernyshevsky’s “theory of reproduction” is an attempt to revive the theory of imitation of nature, while the appearance of novelty is created by pointing to “real direction of thoughts” of the author Chernyshevsky very vaguely characterizes the beautiful; grossly simplifies the tasks of art (“reproduction”); discredits the creative imagination and the artist’s craving for the ideal; seeks to lower the high status of art in the range of human interests. Solovyov’s analysis is distinguished by consistency, respect for the convictions of his opponent, as well as his own view of the issues raised by Chernyshevsky. In “The Art Issue” and other articles Solovyov defended his belief that Chernyshevsky’s “theory of reproduction” was the prototype of the utilitarian and nihilistic views on art in journalism of the 1860s. This article presents for the first time a detailed analysis of Nikolay Solovyov’ s views on art in comparison with Chernyshevsky’s aesthetic theory.
Simulation-based Veriﬁcation of Functions for Autonomous Drones

The world is witnessing considerable interest and a rapid shift towards the autonomous aerial domain.Aerial robotics brings a lot of solutions to some existing problems and has benefits in many fields, such as transportation of people and goods, navigation, military defence, games, agriculture and so on.Small aerial robots, also known as drones, have critical applications due to their flexibility and suitable small size.Developing these small electronic devices is an arduous task involving careful planning and testing.In addition, Their development and delivery to end users should not only be finished in a shorter amount of time and also with high liability.One of the main concepts to address this issue is using a new testing technique called Behavior Driven Development (BDD).This work uses BDD in component-based software engineering for aerial robotics as an agile technique.This testing approach offers an exciting method to write different possible scenarios in simple, easy-to-read, and understandable feature files.An example of applying this method for drone application development with Robot Operating System and Gazebo is shown in this paper.
Implicit causality in Romanian interpersonal verbs

Natural languages display a great variety of devices that may be used to speak of causal relations, ranging from prepositions, sentence connectives and verbs.This paper focuses on the way in which different classes of verbs affect the subsequent discourse in terms of implicit causality.We report on an offline sentence-continuation study that tested next mention preferences triggered by four Romanian classes of verbs and compare them these results with verbal biases observed in other languages.
The neural machine translation of dislocations

This paper investigates neural machine translation (NMT) outputs for dislocated constructions from French into English.Dislocations are often considered to be "substandard in formal registers" (Lambrecht 1994: 12).In French, multiple copies of the subject are licit in spoken data, whereas translations into English preclude them (De Cat 2007).We analysed 436 translations of French dislocated segments in the novel Voyage au bout de la nuit (Céline 1932) and a contemporary corpus for spoken data from Corpus de Français Parlé Parisien (CFPP) (Branca-Rosoff & Lefeuvre 2016) by DeepL and Google.Beyond prototypical X, c'est dislocations, translation toolkits continue to misfire, and this might be due to the lack of spoken data in training sets of NMT.
Virtual and Augmented Reality for Neurofunctional Recovery and Human Movement Analysis

We present the research results on virtual reality and neurofunctional recovery, part of a multidisciplinary and inter-institutional project. The BRAINN_VR Initiative is a line of research and technological development in virtual rehabilitation solutions running on the Brazilian Institute for Neuroscience and Neurotechnology – BRAINN.
MULTISPECTRAL REMOTE SENSING TO DELINEATE THE DISTRIBUTION AREA OF SCANDIUM-BEARING MINERALS IN BAUXITE MINING SITES, WEST KALIMANTAN PROVINCE, INDONESIA

The rising demand for scandium led to massive exploration activities for its discovery from mining by-products. Therefore, this study attempts to delineate the distribution of scandium-bearing minerals in the surrounding bauxite mining area, Tayan District, West Kalimantan Province, Indonesia. Preliminary studies were conducted by applying optical sensors to discriminate the types of minerals, such as kaolinite, gibbsite, goethite, and quartz. The spectral information aids the reconnaissance study by providing data on specific rocks and minerals using the short-wave infrared (SWIR), processed into a series of bands with spectral ranges from 0.35 to 2.5 μm. The data was then compared with the structural lineament from the ALOS PALSAR imagery to infer the prospective area with the structural pattern. The integrated band math minerals and geochemical data taken from X-ray fluorescence and Inductively Coupled Plasma-Mass Spectrometry suggest that the Sc-bearing minerals were disseminated predominantly on the bauxite laterite profile from pyroxene diorite and diorite parent rock weathering. The spectral range for goethite as the Sc-bearing minerals is from 0.43 to 1.03, with the main absorption features from 2.0 to. 2.4. Furthermore, goethite is mainly concentrated at the top bauxite horizon associated with the structurally related hill. The ore-bearing minerals also occupied the tailing pond and some beneficiation areas in relatively minor proportion. This study is undoubtedly valuable for the practical need to support mineral exploration through remote predictive mapping.
Grouping Goods with the Association Rule Method Using A priori Algorithms in Modern Retail Stores

The proliferation of retail companies in Indonesia makes competition quite fierce in this business. The availability of detailed information on products purchased from each customer transaction in the database will become data garbage, which continues to grow every day. Company managers will certainly be interested in knowing whether certain groups of products are consistently purchased together. They can use this data for optimal grouping and placement of products, and managers can also use this information for cross-selling, for promotions, for catalog design and to identify customer segments based on purchasing patterns. In this study, data mining with Association rule techniques was used to explore patterns of attribute relationships and frequent itemsets in the Retail database. The a priori paradigm is used to find large itemsets in the determination of association rules. The integration of association rules with the a priori paradigm has managed to find a number of patterns of relationships between attributes in retail databases.
HISTORICAL AND PEDAGOGICAL PECULIARITIES OF ADULT EDUCATION DEVELOPMENT IN THE USA IN EARLY 20TH CENTURY

The aim of the article is to analyse historical and pedagogical peculiarities of adult education development in the USA in the early 20th century in the context of reforming educational system of Ukraine. For fulfilment of the mentioned aim the following methods have been applied: a system of general theoretical methods (analysis, synthesis, comparison, abstraction etc.), and concrete scientific methods, namely term analysis and historical genetic analysis. Functioning of moonlight schools has been depicted. Determinants of the development of adult education in this period, in particular, such historical events as World Wars, the period of prosperity, the Great Depression and socio-economic factors have been singled out. The influence of industrialization and the introduction of new agricultural technologies on adult education has been presented. Legislative basics of adult education have been singled out, namely: Smith-Hughes Act (1917), which was aimed at vocational training at schools and colleges; George-Reed Act (1929), which emphasized the training of specialists in the field of home economics and agriculture; George-Deen Act of Vocational Education (1935), which provided additional funding for programs in agriculture, home economics, and industry; George-Barden Act (1946), which was flexible in the distribution of funding for education, provided money for teacher training; Bill of Rights (1944), called the Soldiers’ Bill of Rights because it dealt with loans for education and housing for demobilized soldiers; Employment Act (1946). Results of the conducted research work give opportunity to state that American experience in the field of adult education can help to create harmony between national traditions and world achievements on the basis of humanism and democracy; to give high quality educational service to adults, synchronize national system of adult education with world tendencies, provide conditions for adult education development and its influence on economic development of state.
Гадаад хэл заахад хэвлэл мэдээллийн хэрэгсэл ашиглан сэдэлжүүлэх нь

The media is an important part of any society's culture and mind, as it clearly affects people's consciousness and knowledge. In this context, it is important for teaching theory and practice to determine the extent to which the media influences the motivation of a foreign language learning process. This is because in this information age, it is imperative to constantly seek out teaching methods and techniques that will effectively deliver learning outcomes to students in foreign language teaching. In the era of globalization, it is important to assess students' motivation to learn a foreign language via the media.
Analisis Desain User Interface pada Aplikasi Pencari Parkir Mobil

The rapid population growth has an impact on the increase in the number of vehicles. The problem of parking space needs is a common phenomenon that occurs in Indonesia, many parking systems currently available only record the time of entering and leaving the car and calculating how long the car has been in the parking lot. As the development of increasingly sophisticated technology makes changes in human character to want things that are easy and fast, so is the parking problem that is happening today. In 2019 there is a parking facility application that has the main feature of searching for the nearest parking lot, but the application still does not have complete parking facilities and also a user interface display that still confuses users. A good user interface has aspects of clarity, conciseness, recognizability, responsiveness, consistency and has aesthetic content. Therefore, it is important to design the user interface and usability so that users are more interested and can explore the application and the need for additional features to the application so that the application can have complete features and work well.
Group decision support system model to determine supervisor lecturers for student creativity programs

A group decision support system (GDSS) model was created in this study by implementing the weighted product (WP) method and the borda method to determine prospective assistant or supervisor lecturers for student creativity programs (PKMs) that are routinely carried out every year at the Sriwijaya State Polytechnic. This study applies 5 criteria, including i) education level, ii) academic position, iii) group tenure, iv) lecturer certification, and v) achievement in the field of three pillars of higher education. The decision-makers in this study consisted of the head of the department (DM–1), the secretary of the department (DM–2), and the head of the study program (DM–3) where they carried out the decision-making process in groups. The WP method is used to make preferences independently of the decision-makers to determine the best alternative based on predetermined criteria. The borda method is currently used to aggregate the decision-makers to obtain the final result in the form of an alternative ranking. The results of this study are sufficient to be used as a reference in determining the supervisor lecturer for PKM activities at the Department of Computer Engineering, State Polytechnic of Sriwijaya.
Influence of natural clouds on the performance of solar cell systems in Iraq

Solar energy generated by photovoltaic (PV) technology can be supplied to standalone systems, as it combines efficiency and cost-effectiveness. However, this combination is achieved only after considering the effects of shading, which can significantly influence electrical output. The primary factor that influences the use of solar energy in electricity generation is irradiation. PV cells are significantly impacted by shading, where the output of the PV cell reduces in the presence of a shadow. In this study, the researchers have presented an experimental analysis of how shading affects two PV cells, using the series and parallel configurations. The experimental work is installed at the University of Mosul, Department of Electrical Engineering, Renewable Lab (Iraq). MATLAB was used to simulate, evaluate, and compared the results to understand the effects of shading on PV cell output. This research offers an analytical technique to determine the probable effects of Partial shadowing conditions on PV power generation. The results provide the effects of partial shadowing in an annual performance loss of ≥10–30%. The orientation of the PV panels' tilt angle has an impact on their output power. When the tilt angle deviates from its ideal value, the PV panel's output drops off substantially.
Research on helmet detection algorithm based on improved YOLOv4-tiny

In order to effectively supervise the wearing of safety helmets by construction personnel, the YOLOv4-tiny target detection algorithm is used to detect the wearing of safety helmets. A lightweight model with higher accuracy and less computation is designed for YOLOv4-tiny, which is more suitable for real-time helmet wearing detection. Firstly, G-Resblock is designed to replace Resblock to reduce the computational complexity of the model and occupy less computing resources. However, YOLOv4-tiny is prone to error detection or missed detection in complex work scenarios. In order to solve this problem, an attention mechanism is added to YOLOv4-tiny, the serial channel of CBAM is improved as a parallel channel, and P-CBAM is added to YOLOv4-tiny to solve the problem of poor model detection effect. The improved YOLOv4-tiny can better complete the helmet detection task.
A 3D hand pose estimation architecture based on depth camera

Considering the problem of the inability to obtain accurate depth information in 3D pose estimation, this research attempts to use a depth camera to obtain accurate depth information to solve this problem and achieve good results. In the process of research, it is found that the general object detection and evaluation method is not accurate enough under the framework proposed in this paper, so this research proposes an evaluation method suitable for this framework. A standardizer is also designed to optimize the detection effect while achieving efficient tracking objects. Ultimately, inference time is reduced by 35%. The implementation of this research architecture is open-sourced at https://github.com/DumbZarro/BuddHand.
A MACHINE LEARING BASED MUSIC PLAYER BY DETECTING EMOTIONS

We propose a novel method for automatically playing music based on facial emotion.The majority of existing approaches involve manually playing music, using wearable computing devices, or classifying based on audio features.Instead, we propose that the manual sorting and playing be changed.For emotion detection, we used a Convolutional Neural Net.TensorFlow used to make music recommendations.Our developed scheme tends to reduce the computational time required to obtain the results as well as the overall cost of the proposed framework, thereby increasing the overall accuracy of the system.The system is tested using the FER2013 dataset.Using an embedded camera, facial expressions are managed to capture.Feature extraction is performed on detected face images to detect emotions such as happy, angry, heartbreaking, surprise, and neutral.The user's current emotion is used to develop a fully automated music playlist.When compared to the algorithm in the relevant research, it performs better in terms of computational time.
Optimization of the initial position selection based on the Coverage Path Planning (CPP) algorithm

The task of Coverage Path Planning (CPP) is to generate a route that satisfies the condition of reaching every possible area of a specific room. The room is divided into grids whose sizes are the same as the target moving in the space. Basically, CPP algorithms are classified into classical algorithms and heuristic-based algorithms. This paper focuses on one of the heuristic-based algorithms, A*, and applies four heuristic mapping functions to generate the coverage path. Subsequently, every grid is considered as the initial point where the path is generated, and the resulting steps and the cost of the total steps are compared. Besides searching for the routes available to cover the whole map, the ultimate target of the algorithm under discussion is to select the best initial point among all of the grids. This step ensures that the valid path generated by the algorithm is the shortest or the most commercial result.