Reviewerly/exHarmony huggingface dataset:
Comparison of Full Training and Transfer Learning in Deep Learning for Image Classification

The deep learning algorithms on a small dataset are often not efficient for image classification problems. Make use of the features learned by a model trained on large similar dataset and saved for future reference is a method to solve this problem. In this work, we present a comparison of full training and transfer learning for image classification using Deep Learning. Three different deep learning architectures namely MobileNetV2, InceptionV3 and VGG16 were used for this experiment. Transfer learning showed higher accuracy and less loss than full-training. According to transfer learning results, MobileNetV2 model achieved 98.96%, InceptionV3 model achieved 98.44% and VGG16 model achieved 97.405 as highest test accuracies. The full-trained models did not achieve as much accuracy as that of transfer learning models on the same dataset. The accuracies achieved by full-training for MobileNetV2, InceptionV3 and VGG16 are 79.08%, 73.44% and 75.62% respectively.
Research Guides: Business: Article databases and eJournals

Learn about library research tools and resources specifically geared towards Business courses including citation and evaluation help, peer-reviewed articles, eBooks, and more! Access databases and eJournals related to nursing.
Digital ethnography: methodological foundations in the cultural study of ethnic manifestation

Abstract The emergence and development of a global communication space leads to the transformation of the territorial and social structures of society, both on a global scale and in relation to a single territory, which in turn transforms the cultural system in general and ethnic culture in particular. Marshall McLuhan, one of the main theorists of the field of new media, stated about such transformations back in 1964, defining modern culture as a culture based on electricity, and also stating that due to the limitless development of information, people become involved in each other's affairs at the level of involvement in their own problems. The article is of an overview nature. It is devoted to the consistent consideration of some classical (despite its short history of the development of the direction at the moment) and modern theories of digital ethnography, conceptual and methodological approaches, the main provisions of the study of ethnic manifestation. The article also focuses on the potential of online communities as a space for the representation of ethnic identity and its manifestation, presented today in an interactive environment. It is noted that the ethnic manifestation formed in the Internet sphere is constructed based on the degree of mediation and remediation of the individual and the entire ethno-cultural group. It is important to note that the self-representation of indigenous peoples in the interactive space sometimes becomes the only possible option for them. Digital ethnographic research is carried out faster chronologically and richer in terms of immersion in the object of research. The key problems of ethnographic methods are considered to be distrust of the researcher due to the novelty of the scientific field, a wary attitude to empirical material in cyberethnography – data collection in online communities causes skepticism, as far as the received array of information can be considered empirical material.
Um Algoritmo Evolutivo para Geração Procedural de Conteúdo para o jogo Super Mario Bros

Procedural content generation (PCG) is a method of automated creation of digital content. One of the challenges in the area is to generate a variety of content, with low computational cost and guaranteed validity. The present paper addresses the procedural generation of typical levels of Super Mario Bros (SMB) game. This project considers the representation of a SMB level, by using a vector of vertical slices; accordingly, it is possible to create a set of patterns and use them in the generation of the map. Therefore, the aim is to use Evolutionary Algorithms (AEs) combined with the patterns (set of slices from a real game phase) to generate the SMB levels. The preliminary results showed that, despite the use of few standards, the conducted experiments converged to feasible levels.
SVA Library Research Guides: Online Resources and Services: Student Orientation Video

The following guide outlines the collections, services, and support available remotely to students, faculty, and staff.
A Survey Paper On File Authorization Using Motion Of Hand Gesture

Language is as often as possible used as correspondence language for sense procedure injured individuals. Once in a while, it's adjusted assistance discourse    correspondence.         there's conjointly a pattern towards abuse hand signals as a perspective methodology of correspondence among individuals and robots. Thusly, a couple of hand signal affirmation asks about are orchestrated. moreover pads, hand developments can even be a better than normal system of correspondence among people and robots or perhaps between sense methodology crippled people and robots. To be a normal sign insistence framework, Essential objective of signal acknowledgment examination is to make a framework which may set up explicit human motions and use them to pass on data or for gadget the executives. to get a handle on what  motions square measure, partner assessment, it should be without glove, fast, little information and right. during this paper, we will generally speaking propose a hand signal attestation framework that performs advancing assertion. A record affirmation procedure is done by achievement passwords that are showed up by language or signs. A 2-digit secret word is given out to a record
Research on saliency detection method based on depth and width neural network

Abstract Image saliency detection is to segment the most important areas in the image. Solving the problem of image saliency detection usually involves knowledge in computer vision, neuroscience, cognitive psychology and other fields. In recent years, as deep learning has made great achievements in the field of computer vision, the application of deep learning has also played a good role in image saliency detection. Therefore, algorithms based on deep convolutional neural networks have become solutions to image saliency The most effective method of detection. For researchers, improving the computational efficiency of neural network-based saliency detection algorithms generally starts from two perspectives. One is to tailor the network structure and combine traditional feature extraction methods for processing. The other is to use a lighter network to solve the saliency detection problem. Based on these two points of thinking, this paper proposes two efficient and accurate neural network-based saliency detection algorithms. In recent years, with the rapid development of multimedia and Internet technologies, a huge amount of picture information is generated on blogs, social networking or shopping platforms every day. Such a lot of information not only enriches people’s lives, but also provides efficient and accurate network management platforms. The management of these image information brings difficulties. Therefore, how to understand and process these image information more intelligently and efficiently has become a hot topic for many image processing and computer vision researchers. Among them, the saliency detection technology plays a key role in solving the problem of intelligent understanding and processing of images. To put it simply, saliency detection is a technology to automatically calculate or detect the most important areas in an image, and its processing results provide a basis for understanding and processing the image content. Saliency detection is a basic problem in computer vision, neuroscience and visual perception. The algorithm detects and extracts the most interesting or significant areas in the image.
Quantum Information Effects

We study the two dual quantum information effects to manipulate the amount of information in quantum computation: hiding and allocation. The resulting type-and-effect system is fully expressive for irreversible quantum computing, including measurement. We provide universal categorical constructions that semantically interpret this arrow metalanguage with choice, starting with any rig groupoid interpreting the reversible base language. Several properties of quantum measurement follow in general, and we translate quantum flow charts into our language. The semantic constructions turn the category of unitaries between Hilbert spaces into the category of completely positive trace-preserving maps, and they turn the category of bijections between finite sets into the category of functions with chosen garbage. Thus they capture the fundamental theorems of classical and quantum reversible computing of Toffoli and Stinespring.
SISTEM PERHITUNGAN HARGA POKOK PENJUALAN MELALUI PENDEKATAN FIRST IN FIRST OUT

AbstractCompanies often have difficulty in calculating cost of goods sold. There are some companies still use microsoft excel and the absence of the cost of sales approach approach. Affects the price of the product, the company's final report that determines the loss or profit in the company. One approach used in recording the cost of goods sold is the FIFO (First In First Out) approach. While the system development approach is using System Development Life Cycle (SDLC) with Waterfall model. The programming languages used are PHP, MySQL database, Localhost XAMPP, Notepad ++ editor, and data obtained from data collection at PT. Herbatama Indo Perkasa Cirebon City. The results of this paper is to design a running system, build a new system, and implement the system terebut with black box testing. So as to produce a computerized system and able to solve the problem of cost of goods sold. Keywords: First In First Out, Cost of Goods Sold, Accounting Information System
Development of distant online learning in universities of Yakutia during the COVID-19 pandemic

The manuscript presents the organization of online distance learning for students of the three universities by means of digital education technologies at worldwide quarantine period due to COVID-19. The purpose of the study is to increase the level of subject competence among students in the context of organizing distance online education during a pandemic, considering the specifics of regional education. A study involved the survey method considering the specifics of the organization of online learning in the regional education system with statistical processing of data from the research results. The results allowed for increasing the efficiency of work with students in conducting classes in the disciplines of the information block during a pandemic using the Moodle platform, which reasonably indicates the need to consider the peculiarities of the educational environment in the development of subject competence among students of three universities of the Republic of Sakha (Yakutia).
Investigating Tourists’ Perspectives On English Verbal Communication Of Tour Guides At Pulau Banyak, Aceh Singkil

The aim of study is to investigate tourists’ perspective on English verbal communication of the tour guides at pulau banyak.. This study used descriptive qualitative method in analyzing the data. Verbal Communication consist can be found and use on tourist guide to tourist foreign. And to reason for the used of communication between researcher and tourists . Tourist Guide are people who provide assistance, information about cultural, historical and contemporary heritage about people organized tours and individual client in educational pleces, Tourist attraction, religious and historical sites, museum, and in places from other significant interests. And Tourist is person travelling in a certain period in place he visits( Yoeti : 1999 ). Therefore, the tourist need someone to help in giving detail information releted to the place, know as tour guide. That have good verbal communication to tourist understand what tour guide talk about it. it was found that the first tour guide produced (Fair ) for Accuracy, (Fair ) for Fluency and (Very Good ) for Comprehensibility . and the second tour guide produced (Fair) for accuracy, (Good ) for Fluency and (Very good ) for Comprehensibility. It means the most dominant types of verbal communication that used on the conversation by both tour guide is Comprehensibility.
Demonstration Exam To Assess The Formation Of Labor Functions Of Future Teachers

The purpose of the article is to analyze the main theoretical approaches to the problem of independent assessment of the quality of education in the context of the introduction of new educational standards (FSES 3 ++) and to present an approach to the implementation of an external independent assessment of the quality of education and the formation of the labor functions of future teachers. The purpose of the state final certification is to determine the compliance of the results of learning educational programs of higher professional education with the requirements of the federal state educational standard of higher professional education. The article presents an analysis of the results of testing an innovative form of assessing the quality of bachelors of the faculty of primary grades of a pedagogical university. The technology and content of the Demonstration exam are considered. Significant advantages and educational disadvantages are indicated, prospects for the further development of this form of student certification are shown.
Towards a scalable dialogue state tracker

Goal-Oriented dialogue systems help users accomplish various tasks, for instance book a flight ticket or make a restaurant reservation, etc. In order to complete the tasks, these assistants provide a conversational interface to multiple third-party services/APIs. Dialogue State Tracking (DST) is a core component of such systems. After every user utterance, it outputs the dialogue state which is essentially a summary of the conversation till the current run. With ever-increasing number of services and constantly changing ontologies, existing approaches fall short as they often rely on a single static ontology to work with. In this work, we focus on a specific condition, in which 1) a guided schema is provided, 2) target slot value can be found as word segments in the dialogue context. Our proposed model, an end to end zero-shot dialogue state tracker, uses BERT to encode the dialogue utterance and the guided schema, so to extract the slot values from dialogue context, meanwhile it’s capable to support unseen domains and services without asking for additional training data. In addition, our model supports multilingual dialogues. Empirical evaluation shows the model achieves competitive performance on Google’s schema-guided dataset.
Правознавство. Методичні вказівки для самостійної роботи студентів

The methodical instructions is designed for the organizing of self-study work of students during classes and in the extra-curricular time.Each theme includes the consideration of specific issues, the main terms and notions, supplementary materials. The methodical instructions gives an opportunity to check up the quality of the assimilated material using the assessing assignments, tests, problems, comparative schemes and other forms of assessment. It provides with the creative and active mastering by students of knowledge and skills in the branch of law.
File Authorization Using Motion Of Hand Gesture

By and large, language is routinely used as correspondence language for sense approach debilitated individuals. Occasionally, it's accustomed assistance talk correspondence. There's conjointly an example towards misuse hand movements as a perspective methodology of correspondence among individuals and robots. Thusly, a couple of hand signal affirmation analyses are organized. More over to voice and regulator pads, hand signs can even be a respectable methodology of correspondence among individuals and robots or possibly between sense philosophy injured individuals and robots. To be a nice sign affirmation structure, it ought to be sans glove, fast, little data and right. During this paper, we will overall propose a hand movement affirmation structure that performs constant affirmation. A record affirmation strategy is done by achievement passwords that are showed up by language or signs. A 2 digit secret word is assigned to a record. The information is found using an immediate net camera and arranged misuse checking rule and if a match happens, the record are consistently seen by the customer and if a twin happens, will is denied.
PKM PELATIHAN DAN PENDAMPINGAN GURU SMP HARAPAN SUNGAILIAT DALAM MENGEMBANGKAN PEMBELAJARAN BERBASIS LMS MOODLE DAN GOOGLE CLASSROOM

Moodle and Classroom are some of the alternative learning media that can be used by teachers in improving the learning process more effectively. However, many teachers still do not understand how to utilize e-learning in learning process.  This program aims to improve the ability of teachers to utilize ICT for learning through Moodle and Classroom. The program activity includes the development of Moodle-based e-learning and training for teachers at SMP Harapan Sungailiat. The training results show that teachers’ skills in using the e-learning module are increase. The training questionnaire showed that 98% of the participants were able to use e-learning. The percentage of participants who quite agree that they are skilled at using e-learning is 52%. Meanwhile, 41% agree that they are skilled at using e-learning, and 6% strongly agree that they are skilled at using e-learning.
Re-Evaluating GermEval17 Using German Pre-Trained Language Models

The lack of a commonly used benchmark data set (collection) such as (Super-)GLUE (Wang et al., 2018, 2019) for the evaluation of non-English pre-trained language models is a severe shortcoming of current English-centric NLP-research. It concentrates a large part of the research on English, neglecting the uncertainty when transferring conclusions found for the English language to other languages. We evaluate the performance of the German and multilingual BERT-based models currently available via the huggingface transformers library on the four tasks of the GermEval17 workshop. We compare them to pre-BERT architectures (Wojatzki et al., 2017; Schmitt et al., 2018; Attia et al., 2018) as well as to an ELMo-based architecture (Biesialska et al., 2020) and a BERT-based approach (Guhr et al., 2020). The observed improvements are put in relation to those for similar tasks and similar models (pre-BERT vs. BERT-based) for the English language in order to draw tentative conclusions about whether the observed improvements are transferable to German or potentially other related languages.
Distance-Aware Quantization

We address the problem of network quantization, that is, reducing bit-widths of weights and/or activations to lighten network architectures. Quantization methods use a rounding function to map full-precision values to the nearest quantized ones, but this operation is not differentiable. There are mainly two approaches to training quantized networks with gradient-based optimizers. First, a straight-through estimator (STE) replaces the zero derivative of the rounding with that of an identity function, which causes a gradient mismatch problem. Second, soft quantizers approximate the rounding with continuous functions at training time, and exploit the rounding for quantization at test time. This alleviates the gradient mismatch, but causes a quantizer gap problem. We alleviate both problems in a unified framework. To this end, we introduce a novel quantizer, dubbed a distance-aware quantizer (DAQ), that mainly consists of a distance-aware soft rounding (DASR) and a temperature controller. To alleviate the gradient mismatch problem, DASR approximates the discrete rounding with the kernel soft argmax, which is based on our insight that the quantization can be formulated as a distance-based assignment problem between full-precision values and quantized ones. The controller adjusts the temperature parameter in DASR adaptively according to the input, addressing the quantizer gap problem. Experimental results on standard benchmarks show that DAQ outperforms the state of the art significantly for various bit-widths without bells and whistles.
Sociological Elements of Juvenile Delinquency A Quantitative Analysis of Youth Offender Industrial School Karachi

The current study investigated the relationship between sociological elements and juvenile delinquency of youth offender industrial school Karachi, in spectrum of family background, criminal association, level of education, economic and employment status. The present research help to provide specific actions through policy making by state and governance in protection of children in juvenile centers and in general. It addressed the sociological conditions of juveniles for reintegration in society. The researcher used quantitative method of research survey design. For selection of respondent’s probability type of random sampling was used. 108 respondents were interviewed. The results of data revealed that Juvenile delinquency was (a) highly significant with criminal association i.e., (χ 2 = 33.5 & P-Value = 0.00), (b) Employment status (χ 2= 20.80 & P Value = 0.000) and (c) with education (χ 2 = 33.74 & P- Value = 0.00). (d)The statistics with levels of family income and juvenile delinquency was insignificant (χ 2 = 0.94 & P- Value = 0.57) and (e) the juvenile delinquency was also insignificant with Family background (χ 2 = 1.71, PValue = 0.057).
Menumbuhkan Budaya Literasi di Era Digital dengan Memanfaatkan Teknologi Smartphone

The increasingly modern use of various technologies is so remarkable that people every day everywhere and whenever they cannot escape what is called technology, the power of trknology has helped human work with ease, one of which is the development of literary culture in human life. To that the impact of literacy culture is growing the era of globalization. Man is the successor of the future, so each one of them must be imbedded to himself as well as others. Thus, this brief study focuses on: 1) learning how to cultivate the local literacy culture in the digital age. 2) to find out how the local people are tapping into the digital literacy culture by tapping into technology. As for the population in this study, there is a wide range of pante ceureumen kab, aceh west. The removal of the sample was scrambled in the first two villages within the vicinity. It USES direct observation, observation, and observation techniques. The results of the study suggest that: 1) local communities' literacy culture grows best in the global community at an average 80% of them daily using digital technology (smartphone). 2) the average portion of local communities USES digital literacy cultures by using the printed features
Spectral Leakage and Rethinking the Kernel Size in CNNs

Convolutional layers in CNNs implement linear filters which decompose the input into different frequency bands. However, most modern architectures neglect standard principles of filter design when optimizing their model choices regarding the size and shape of the convolutional kernel. In this work, we consider the well-known problem of spectral leakage caused by windowing artifacts in filtering operations in the context of CNNs. We show that the small size of CNN kernels make them susceptible to spectral leakage, which may induce performance-degrading artifacts. To address this issue, we propose the use of larger kernel sizes along with the Hamming window function to alleviate leakage in CNN architectures. We demonstrate improved classification accuracy on multiple benchmark datasets including Fashion-MNIST, CIFAR-10, CIFAR-100 and ImageNet with the simple use of a standard window function in convolutional layers. Finally, we show that CNNs employing the Hamming window display increased robustness against various adversarial attacks.