Reviewerly/exHarmony huggingface dataset:
PERANCANGAN DAN PENERAPAN SISTEM AKUNTANSI PADA USAHA QISYA LAUNDRY

Abstract:        The purpose of this article is to determine the design of an accounting recording system for a business called Qisya Laundry. This activity is carried out by the author by conducting this research as a consultant and is responsible for interviews, auditing and designing an accounting recording system in accordance with the company's operational conditions.Accounting records are designed in a system format by using Microsoft Office Access. The system has also been prepared and adjusted to the relevant accounting rules, namely in accordance with SAK-ETAP. The system designed has been implemented in the Qisya Laundry company, so that company data will be more accurate, and company management can make accurate decisions about the company's next operational activities.
Prediction of Petroelastic Properties of Rocks Based on Machine Learning

Summary The research is related to the need for seismic modeling of Western Siberia oil deposits in order to clarify geological cross-sections and structures of oil deposits. In order to qualitatively match seismic data and a geological section and then interpret them, it is necessary to have acoustic and density log data in all wells. The presence of these data and their quality are of particular importance in solving problems of seismic inversions. But in some wells, these data are missing or of very poor quality. Thus, we need to restore the acoustic and density logs using other well logging data. Paper presents the results obtained by using neural networks. Neural networks are an effective data processing mechanism for predicting results of various kinds. This technology was applied in this research to predict the petrophysical properties of the formation. The prediction of interval time and density was made. The results agree with the initial data for the cross-section. The elastic parameters are calculated for seismic modeling. Their comparison made it possible to separate the rocks according to lithotypes into reservoirs and non-reservoirs and to construct structural maps taking into account the refinement of the distribution of reservoirs over the field area.
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Automatic cell image classification with convolutional neural networks

Recently, artificial intelligence can be used in various fields, especially for medical purposes. For example, it can help diagnose lung diseases and cancer accurately and quickly, thereby reducing the time and cost of medical treatment. In this study, image data were acquired using cultured cervical cancer cells and skin fibroblast cells. The acquired images were pre-processed using OpenCV and enabled the creation of input data optimized for training. In addition, an optimal deep learning algorithm was designed to classify cells by type using transfer learning methods. As a result, the CNN-based learning and automatic classification method proposed in this experiment showed a high accuracy of over 98% and is expected to be used for accurate diagnosis and treatment of diseases in the future.
EDUCACIÓN FÍSICA EN TIEMPOS DE PANDEMIA

The COVID-19 pandemic has modified the way of conducting classes, going from a face-to-face to an online modality, which has had an impact on how students have been able to achieve the expected learning results. Particularly the physical education subject, which is a subject with a high practical content, has been affected, adapting to the possibilities of distance training. However, there are still many barriers that hinder the development of this subject. It is necessary to evaluate how these adaptations have achieved that the students can acquire the learning results.
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Investigating Performance of Different Models at Short Text Topic Modelling

The key objective of this project was to quantitatively and qualitatively assess the performance of a sentence embedding model, Universal Sentence Encoder (USE), and a word embedding model, word2ve ...
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Upaya Meningkatkan Self Efficacy melalui Bimbingan Kelompok

Research on efforts to improve self efficacy student of class viii d through services one watch singing in response assistance would not only provide islamic junior high school mts al- malt or malt and meal discerning men will vanish or wuluhan the commencement of academic year 2017 / 2018 .. with the treatment respondents as many as 28 students .Data collection method that is used is identification observation and other of any economic indicators ,. Based on the results of from preliminary observations other of any economic indicators and set me free and more and they received way to the main databank with figures the percentage of the level of self afficacy students at the school as much as 50 % , percentage of 75 % . That is why it is to service delivery that the technical assistance would group of four can increase the size of the behavior self afficacy students at the school a class of viii d at mts al ma’arif malt or malt and meal discerning men will vanish or wuluhan the commencement of academic year 2017 / 2018 Keywords: Guidance Group , Self Efficacy
Manajemen Jaringan menggunakan Remote Authentication Dial in User Service (RADIUS)

Networking today is a much needed service. Existing problems include user authentication, hotspot user management, bandwidth management and any unwanted intruders. It is necessary to the development of a network system that can provide security for user authentication and bandwidth management. Network development means developing new systems and will replace the old system or improve the existing system. Particularly the issue of authentication and bandwidth. Type of this research is the Applied Research with the system development using the NDLC (Network Development Life Cycle) method. Data collection method using interviews, observation and literature study. The Method system testing is adopts the ISO 9126 standards such as functionality, reliability, usability and efficiency. This research resulted in the network security system to have a good quality with a percentage of 82.5% and meet the needs of organizations in Pondok Pesantren Madinatunnajah.
LibGuides: Open Access : OA Books

The purpose of this guide to help students at Independent College Dublin understand what Open Access is, how it is changing the way we publish and consume knowledge, and where they might find Open Access resources related to their subject.
A robust but easily implementable remote control for quadrotors: Experimental acrobatic flight tests.

Experimental flight tests are reported about quadrotors UAVs via a recent model-free control (MFC) strategy , which is easily implementable. We show that it is possible to achieve acrobatic rate control of the UAV, which is beyond the previous standard. The same remote controller is tested on two physical vehicles without any re-tuning. It produces in both cases low tracking error. We show that MFC is robust even when the quadrotor is highly damaged. A video footage can be found at: https://youtu.be/wtSLalA4szc
Music education in Russia: from 20th century to the present day

In the article on music education in RussiaIn, the main stages of the development of the Russian native musical culture after the 1917 revolution, during the Soviet Union (1924-1990) to modernity were explained and described. Stage I – Music education from 1918 to 1941 The second stage of music education – the period from the second half of the 20th century until the collapse of the Soviet Union in 1991. Stage III of music education in Russia – from the end of the XX century to the first years of XXI century, contemporary music education. The music education system in the USSR developed in two directions. The first direction – preparation of professional educators, contractors and theoreticians. The second direction consisted in the formation and development of musical creativity during the course of study according to programs of general musical education in secondary schools. This system of music education has not lost its relevance today in the modern Russian Federation.
Deep k-NN Label Smoothing Improves Reproducibility of Neural Network Predictions

Training modern neural networks is an inherently noisy process that can lead to high \emph{prediction churn}-- disagreements between re-trainings of the same model due to factors such as randomization in the parameter initialization and mini-batches-- even when the trained models all attain high accuracies. Such prediction churn can be very undesirable in practice. In this paper, we present several baselines for reducing churn and show that utilizing the k-NN predictions to smooth the labels results in a new and principled method that often outperforms the baselines on churn while improving accuracy on a variety of benchmark classification tasks and model architectures.
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The Changing Face of Terrorism and the Designation of Foreign Terrorist Organizations.

In December 2015, a terrorist group comprising elements of the Russian government, contractors, and civilians hacked in Ukraine's power grid and managed to turn of the power for hundreds of thousands of people. According to the best analysis of the U.S. Intelligence Community, elements of that same group interfered in the 2016 U.S. by hacking into e-mail databases and releasing negative information, launching a social influence campaign designed to suppress votes among groups, such as African-Americans, thought likely to support one candidate and to bolster the opinions of groups thought likely to support the other candidate. That same terrorist organization continues to attempt to hack into the databases of elections officials across the U.S., insert malicious code on computers that control parts of the U.S. power grid, and attack critical infrastructure in Europe and Asia.This Article shows how the U.S. government can use existing legal tools to more effectively combat this organization and others like it. Law enforcement officials attempting to prevent these attacks have been hampered in their efforts because one of the most important mechanisms used against other terrorist organizations has not been deployed in this case. Under U.S. law, the Secretary of State has the authority to designate an entity as a foreign terrorist Once an organization is so designated, prosecutors attempting to combat the organization have additional tools available to them. In this Article I show that the doctrinal and policy hurdles to using these tools are easily surmountable. Drawing on international criminal law and organization theory, I show that the organization responsible for these attacks shares the necessary characteristics to meet the statutory definition of a terrorist organization. Further, I argue that the kinds of harms inflicted in the U.S. and elsewhere by these attacks is similar in kind and magnitude to the harms traditionally associated with established terrorist groups. Finally, I show that my approach is consistent with U.S. counterterrorism strategy.
Digitalisation of household eating practices: A case study of meal-boxes

The aim of this thesis is to describe and explain how meal-box, as a digital device designed to assist households in carrying out eating practices, reconfigure household practices and enable specific behavioural activities, including sustainability. Taking a socio-material and practice theory approach and drawing on an ethnographic study of three meal-box providers – The Seasons, Hello Fresh and Lina’s Meal-box – the paper shows how these devices enter into a hybridised relationship with consumers through an offering of convenience, structure and inspiration. The study also examines how these devices are “scripted” to promote sustainable consumption in relation to how this is perceived by consumers. Results from this study indicate that when households integrate meal-boxes in their everyday life, a reconfiguration of practice is believed to take place that trigger change in, replace or delimit conventional practices related to eating. As a change, households would e.g. experience greater alignment and organization in practices of buying groceries, cooking and eating. This takes place through a hybridized relationship between households and the meal-box, where the meal-box come to assume agency over practices that traditionally was within the control of the households. Finally, this study illustrates how meal-boxes has different values inscribed in the device and how this encourage specific behaviors for its users while discouraging others. Keywords: Practice theory; socio-technical scripting; eating practices; digitalization; sustainability. (Less)
Application of Mathematical Methods in Computer Algorithms Under the Background of Internet

At present, the world's Internet technology has penetrated into every part of our lives.And Internet technology and computer technology complement each other, indispensable.At the same time, they are constantly developing together.Computer algorithm is the most basic and core content of programming, and mathematical method, as the most fundamental research method in computer algorithm, has a close relationship with the development of computer programming program code.With the development of computer technology, mathematical methods have been highly valued in the field of computer.The efficient combination of computer algorithm and mathematical method can realize the maximum utilization of computer algorithm.The logical thinking of mathematical method is embodied in computer algorithm.And in our learning life, we began to contact with the application of computer algorithms, and even contact with the relevant types of questions.The simplest example is a computer flow chart.As a compulsory education that our country attaches great importance to, the mathematical methods we learn also infiltrate into the computer algorithm.Enough to show the close relationship between them.Therefore, this paper mainly discusses the application of mathematical methods in the analysis process of computer algorithm, and through the analysis of this paper, provides suggestions and reference for the development of computer algorithm.
Artificial Intelligence Augmentation in Blood Transfusion, Biochemistry, and Hematology of Digital Pathology: A Comparative Performance Evaluation on Pathology Labs and Corporate Hospitals located in Bengaluru

Artificial Intelligence Augmentation in Blood Transfusion, Biochemistry, and Hematology of Digital Pathology: A Comparative Performance Evaluation on Pathology Labs and Corporate Hospitals located in Bengaluru
How Named Entity Recognition and Document Comprehension Unlock Geosciences and Engineering Semantic Search without Big Data

Summary By combining Named Entity Recognition model trained on a tiny labeled dataset with a generalist Reading Comprehension engine, this abstract shows how to implement an efficient Semantic Search engine which can complete and sometime replace traditional keywords-based search engine. The proposed solution does not require massive amount of annotated data for training the models involved, taking advantage of transfer learning and model adaptation allowed by BERT and BiDAF model architectures. Because no Big Data is needed, such solution is very easy to implement at an early stage of any project related to Geosciences and Petroleum Engineering knowlegge management project.
Relation between acoustic and articulatory dimensions of speech sounds

In their daily communication, speakers produce speech by pushing a controlled air stream past their vocal folds and through a vocal tract configuration formed by a set of articulators which ultimately results in a certain acoustic output. In this sense, speech and, specifically, speech sounds can be understood as a relation between articulatory and acoustic dimensions. This idea is supported by more recent neuroimaging results which suggest that sensory representations of speech sounds are stored across auditory and somatosensory cortices and are characterized by neural auditory-somatosensory mappings. The overall aim of the current dissertation is to improve our understanding of the functional nature of this relation. To this end, this thesis investigates the influence of a stronger linguo-palatal contact on speakers’ ability to employ multiple concurrent compensatory strategies during production of vowels and fricatives. During the data analysis, speakers’ individual as well as average compensatory behavior is investigated by means of generalized additive mixed models (GAMM) and a supervised classification algorithm (random forest). A framework is then developed that allows to estimate the extent of spectral adaptations in vowels and fricatives and to draw a direct comparison between these sounds. The experimental results are discussed in the context of current speech production theories and agree with the overall idea that speech sounds are perceptuo-motor units comprising of articulatory movements which are shaped by perceptual properties and selected for their functional value for communication.
PANDANGAN MAHASISWA CALON GURU DALAM PENGGUNAAN MODEL GAMIFIKASI DALAM PEMBELAJARAN MATEMATIKA

Games already become the fun thing that everybody should try. Therefore, learning with some elements of games can be applied to engage student. Even more in mathematics learning which tend difficult to undertand if they don’t like mathematics. The aim of this study are to see prospective teachers’ responses about games and gamification according to their view. This study use descriptive qualitative study and literature review to get the answer. In order to do so, we provide questionnaire in the form of google form for 183 prospective teachers. We analyzed that questionnaire descriptively. The results is more than 60% prospective teachers like game, and more than 90% prospective teachers interested in following mathematics learning with gamification model. Based on results, we conclude that someone who like game is because they can have fun, to get rid of bored, to improve their thinking ability, social interaction, solve the challenges, get a new knowledge, competition, and realize what they can’t realize in real life. Whereas someon who don’t like game is because they will wasting their time, quickly saturated because the repetitive mission or challenges, don’t like challenges, afraid of addiction and not interested with some games.
Back to Basics: Towards Building Societal Resilience Against a Cyber Pandemic

Cybersecurity experts have long been discussing the potential of a cyber pandemic leading to a massive disruption of ICT operations with a devastating societal impact. Even though society has not faced yet the full potential of a cyber pandemic, the recent COVID-19 pandemic demonstrated how a cyber pandemic can look like at its initial stages. Unfortunately, citizens proofed to be unprepared to handle the COVID-19 threat landscape and how fast cyber-attacks escalated at a global scale targeting individuals, corporations, and governments, all at once. This clearly demonstrates that society, at a global scale, is not adequately prepared to defend against a cyber pandemic, despite all the efforts of the cybersecurity community. Cybersecurity awareness and training efforts have been delivered as part of a national or corporate cybersecurity strategy, aiming to promote a cyber hygiene and enhance protection against cyber-attacks on an individual, a corporate, or a national level. The current level of citizens’ cybersecurity awareness is not yet the desired and actions need to be taken to upscale it. Thus, it is time to take a step back to identify what is missing from current awareness efforts and reconsider how people learn. This knowledge can drive the redesign of the national and corporate cybersecurity awareness activities, effectively building citizens’ cyber skills and knowledge, and leading to the development of robust cyber resilient societies, capable of defending and withstanding a future cyber pandemic.
Prototyping of Medical Record Quantitative Analysis Information System (Case Study: Patut Patuh Patju Public Hospital, West Lombok)

Nowadays, the use of information and communication technology becomes very emerging to increase effectiveness and efficiency of business processes in almost every companies including hospital. This research conducted at Patut Patuh Patju Hospital in West Lombok. Based on observation in Patut Patuh Patju Hospital, the existing implementation of medical record analysis are by using retrospective approachment and digitalized the data by using Microsoft Excel. However, there still are some problems in using this software to digitalized the data. The first one is the security issue of data storage, because the data are only saved in one local computer and not distributed into a specific server.The other issues are the data could not be accessed by another departments and data processing for final report is conducted manually. The purpose of this research is to design a prototype model of information system of medical record quantitative analysis. This prototype developed by using waterfall model combines with data collection techniques such as observation and interviews. Result of this research is prototoype model of information system for medical record quantitative analysis for example the interfaces of form of patient registration, exami-nation data, automatic recapitulation and medical record analysis final reports.
NURSING STUDENTS’ EXPERIENCES IN LEARNING SPEAKING USING 4/3/2 TECHNIQUE DURING COVID-19 PANDEMIC

In this globalization era, many people coming from various countries to visit or temporarily stay in Indonesia. Therefore, it becomes an urgent need for nursing students in Indonesia to speak English because they might take care of international patients. However, because of Covid-19 pandemic, EFL speaking classes in formal educations face a lot of challenges. Thus, integrating technology in EFL classes becomes the option so that the learning process can still happen. In addition, EFL teachers must think about teaching techniques to facilitate learners to learn speaking. This paper presents 95 nursing students’ experiences in one synchronous speaking class using 4/3/2 technique during Covid-19 pandemic. Based on the data taken from the students’ reflective journal, it appeared that 4/3/2 technique could be one of teaching techniques that can be employed in EFL speaking classes during this Covid-19 pandemic. The participants felt that 4/3/2 technique helped them develop their linguistics competences (such as pronunciation and grammar), speaking fluency, confidence, and motivation to improve their speaking skills. The limitations and also recommendations for future research will also be presented in this paper.