Reviewerly/exHarmony huggingface dataset:
Optimalisasi Menu Makan Diet Sehat Menggunakan Algoritma Genetika

Diet is often misconstrued by most people, the definition of a diet that is actually setting the diet to form the ideal body. In addition to setting diet, nutritional content of makana also must be considered. Genetic Algorithm is chosen because it is able to produce solutions that meet the criteria without having to evaluate all possible solutions, as for previous research using Genetic Algorithm to determine the diet in people with diabetes mellitus. This method enables the preparation of a meal plan that meets the established rules of all combinations without having to try all the available results. The preparation of the menu based on the needs is the best. This study builds a system that can recommend the determination of 30-day meal menu with 3 meals in one day and consider 4 types of nutrients contained from 450 foods. So get 450360 combinations of possible menu that can form. The use of genetic algorithm begins with initial population generation as an evaluation of the matching values ​​of established criteria, crosses and mutations that continue to recur until the optimal solution is obtained. The number of violations of the test results of this system are 0 genes with the maximum number of input parameters of 10000 generations and the converging number of 1000 with a time of 70ms. The results of this study is a diet healthy diet.
LibGuides: Online Streaming Video: How to Request a Video

Online streaming video available via the CSU Stanislaus Library. Instructions on how CSU Stanislaus instructors can request a Kanopy video
PENERAPAN ALGORITMA USER-BASED FILTERING DALAM MEMBERIKAN REKOMENDASI BARANG PADA TOKO BIN WAHAB

The goods recommendation system at Wahab Sugio Bin Shop is needed to help customers choose the items to be purchased. The purpose of this study is to make a product recommendation application according to the ranking of the selected product. The benefit is to make it easier for shop owners to display goods sold. The first step in the user based collaborative filteing algorithm is that the customer gives a rating of the product purchased, where the product is used as much as 6 researches. Next the system will calculate the average and find the similarity value between products with the adjusted cosine similarity statement. The results of the system similarity value will provide recommendations for products that can be purchased. The system recommendations show an accuracy of 98%, so it is good for use at Wahab Sugio's Bin Store.
Survey on Onboarding Software Engineers During a Pandemic

This technical report includes a Microsoft Research survey that was deployed to new software engineering hires to learn about their onboarding experience during the COVID-19 pandemic.
Документоведение и специальные исторические дисциплины

The article describes the history of formation and development ofrecords management as a scientific discipline. We consider the first occurrence of the term documentation. It is a compilation of the requirements and design, the appearance of legislative and legal basis of thedocument. It shows the value of pismovnik N.Kurganov XVIII century pismovnik I.Sokolsky «Cabinet Secretary or a merchant.» Detected practicalexperience and streamline document management in the Soviet period,including the role of the Institute of technology management, unified statesystem of record keeping. And the most important identified object andsubject, interdisciplinary synthesis of Documentation, the whole cycle ofits connection with the special historical disciplines studying the functionof the document as a historical source: the history, the history of publicinstitutions, paleography, sphragistics, heraldry, chronology, metrology,diplomatics, source. Peq it is on the scientific literature and textbooks,teaching materials, which are devoted to the problems of formation anddevelopment documentation.
Mereduksi Noise Citra Ortokromatik Menggunakan Algoritma Weighted Mean Filter

Digital camera recording images often have a number of disturbances that may occur, such as lens out of focus, spots appear due to imperfect capture, uneven lighting resulting in non-uniform intensity, image contrast is too low so objects are difficult to separate from background, or interference caused by dirt that adheres to the image and so forth. Noise is an image or pixel that interferes with image quality. Noise can be caused by physical (optical) interference with the acquisition tool or intentionally due to inappropriate processing. Examples are random or unwanted black or white spots that appear in the image. These random spots are called salt & pepper noise. By using the Weighted Mean Filter method, images that have noise can be overcome so that the resulting image can be better than the previous image.
A Study on Cha Sang-chan, the Leading Magazine Publisher During the Japanese Occupation Period

청오(靑吾) 차상찬(車相瓚)은 일제 강점기에 잡지『개벽』을 중심으로 애국 운동과 민중 계몽을 주도한 언론인, 잡지인, 출판인이자 문필가이며, 민속과 야사 연구에 전력을 기울인 역사학자요 민속학자이지만, 그가 남긴 뛰어난 업적에 비해 제대로 알려지거나 평가받지 못하고 있다. 이에 본 연구는 천도교인으로서의 차상찬, 언론인과 잡지인으로서의 차상찬, 명문필가로서의 차상찬, 역사학자이자 민속학자로서의 차상찬, 특별히 어린이와 여성, 고향과 사람과 술을 좋아했던 따뜻한 인간차상찬 등에 대해 전기적 사실을 바탕으로 고찰하고 규명하고자 하였다. 그 결과 차상찬은 일제 강점기의 대표적 잡지인이요 문필가요 민속학자임을 재삼 확인하였으며, 차상찬은 도저히 어느 한 분야의 업적이나 인물로 국한할 수가 없었다. 결코 재단할 수 없는 한없는 넓이와 깊이를 지녔던 인물 차상찬을 새롭게 발견하고 해석하였다. 향후 연구에서는 실증적인 검토와 함께 종합적인 연구와 평가가 이루어져야 할 것이다.Cheong-o Cha Sang-chan is a journalist, magazine publisher and publisher that led the patriotic movement and enlightenment of the people at the center of magazine Gaebyeok during the Japanese occupation period. This study confirmed the life of Cheong-oh Cha Sang-chan through biographical findings. As a result, Cha Sang-chan once again confirmed that he was a representative magazine publisher, writer, folklore scholar during the Japanese occupation period. Also, Cha Sang-chan could not be limited to his achievements or figures in any one field. He newly discovered and interpreted the character Cha Sang-chan who had an infinite width and depth that could never be tailored. In future studies, comprehensive research and evaluation with empirical review would be conducted.
Феномен и ноумен личности

The article presents the results of a theoretical and methodological analysis of the concept of personality, carried out on the basis of the fundamental philosophical category of quality. Some aspects of the relationship between phenomenal and noumenal modes in relation to the concept of personality, which have not been described so far, are revealed and interpreted. The directions of synthesis of two main approaches to the study of personality in psychology - epistemological and ontological - are outlined.
Revista Aula Virtual, Vol. 1 Nro. 1 Año 2020

It is an electronic open access magazine published by the Virtual Classroom Foundation, aimed at the dissemination of research products created by researchers in various areas of knowledge. Its thematic coverage includes Technology, Health Sciences, Administrative Sciences, Social Sciences, Legal and Political Sciences, Exact Sciences and other related areas. Its publication is biannual, publishing two numbers per year, indexed and arbitrated by specialists in the area, under the double blind modality. Type productions are received: Scientific Article in the different qualitative and quantitative modalities, Investigative Advances, Essays, Bibliographic Reviews, Presentations or publications derived from events, and any other type of research oriented to the treatment and deepening of information in the fields of studies of the different sciences. The Virtual Classroom Magazine seeks to promote the dissemination of scientific knowledge and reflective critical thinking in the research field.
Analisa Tingkat Kepuasan Mahasiswa Terhadap Perkuliahan Daring Pada Era Pandemi Covid 19

This research aims to know level of student satisfaction with online lectures during the corona virus pandemic (COVID-19). The level of student satisfaction with online learning is limited to aspects of teaching and learning, including the ability of lecturers, facilities and infrastructure. Retrieval of data in this study using a questionnaire, while the data analysis used is Pearson Product Moment and Alpha Cronbach Correlation Test. The validity test shows that the validity of the questionnaire satisfaction from the online lecture process test can be declared valid, calculating all indicators/variables r to a total score greater than table r (0.167) with a significance level of 5%. While testing the reliability with a significance level of 5%, it showed that the satisfaction of the student sample questionnaire had a high level of reliability with an Apha value of 0.198.
User-centric network-model for data control with interoperable legal data sharing artefacts: Improved data sovereignty, trust and security for enhanced adoption in interorganizational and supply chain is applications

Organizations increasingly collaborate in digital ecosystems, whilst being aware that data is becoming a key asset. They require improved data control capabilities that prevent their shared data from being misused. Currently, such capabilities are typically realized as situation-specific closed ecosystem solutions in a 'hub-model' approach. This, however, hinders adoption of inter-organizational data sharing as end-users are faced with potential customer lock-in and major integration efforts to manage data sovereignty, trust and security over multiple data sharing relationships. As alternative, an open 'network-model' approach provides end-users a single entry-point for simultaneously controlling data sharing over multiple relationships with clear operational advantages in user-friendliness, complexity, efficiency and costs. However, it poses strong interoperability requirements on the legal concepts of data sharing agreements and usage contracts (terms-of-use). This paper contributes to the development of the network-model by identifying and assessing architectural options for realizing interoperability on the legal concepts for controlled data sharing. © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved.
Investigating the Role of Network Morphology in the Underpinning of a Network Fundamental Diagram

WeEspinosa Mireles de Villafranca, AlonsoConnors, Richard D.Wilson, R. Eddie investigate the role that network morphology plays in setting up the routing interactions that govern the emergence of a network fundamental diagram (NFD) in homogeneous road network patches. We generate ensembles of synthetic networks and find solutions to the static traffic assignment (STAP) for a range of (equivalent) global demands and trip distribution structures. The network ensembles are generated by building $$\beta $$ -skeletons of randomised lattices according to the methodology presented by the authors in TGF 2017. We find that the total road length of the network largely determines network performance in the uncongested regime. The clustering coefficient is a secondary factor.
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis

Deep neural networks have revolutionized medical image analysis and disease diagnosis. Despite their impressive performance, it is difficult to generate well-calibrated probabilistic outputs for such networks, which makes them uninterpretable black boxes. Bayesian neural networks provide a principled approach for modelling uncertainty and increasing patient safety, but they have a large computational overhead and provide limited improvement in calibration. In this work, by taking skin lesion classification as an example task, we show that by shifting Bayesian inference to the functional space we can craft meaningful priors that give better calibrated uncertainty estimates at a much lower computational cost.
Pengendali Suhu dan Kelembaban Berbasis Mikrokontroler Atmega 8535 pada Kumbung Jamur Tiram

Oyster mushroom is a food mushroom, has a morphology with hood like oyster shells, with the middle slightly concave and white to cream coloured. A necessary condition for the mushroom to grow up is by keeping the temperature and humidity. The condition of temperature and humidity that have to fulfilled for the oyster mushroom is 20 – 30 °C for temperature and 80 % minimum humidity. The temperature and humidity in the mushroom house can’t be known without the measurement tools. This measurement tools that only measure the temperature and humidity in the mushroom house and controlling of the temperature and humidity is always manually. These weaknesses is attempt to overcome by the researcher by develop the temperature and humidity controller device based microcontroller. This device is develop for facilitate the farmer within the controlling of temperature and humidity inside the mushroom house. This device function is to provide a service an output like to blow the blower and spraying water for humidity increasing. After build and tested, this device has been fill the test of dimension of quality for product, and got the 89,5 score for the product test. This is passed the minimum score for the product test, when the researcher was decide the minimum score for the product test was 75.
Navigation, Cognitive Spatial Models, and the Mind

Because navigation produces readily observable actions, it provides an important window into how perception and reasoning support intelligent behavior. This paper summarizes recent results in navigation from the perspectives of cognitive neuroscience, cognitive psychology, and cognitive robotics. Together they argue for the significance of a learned spatial cognitive model. The feasibility of such a model for navigation is demonstrated, and important issues raised for a standard model of the mind.
Academic library directors’ use of statistical data

There has been an ongoing discussion about the input of the libraries to the output of the universities. The challenge here seems to be that a clear correlation is difficult to determine without in depth conducted research and analysis. The libraries on the other hand must prove their value to their parent organizations in order to manage the on-going survival game of the academic resource allocation and the competition with different actors within the academic information dissemination. We analyze in our paper how the statistical data is utilized in comparing the success of the universities, their output and in addition the resources and the use of their libraries. The comparison is done between five Finnish universities. Their selection is based on their similar size and academic structure. The main source of the data is interviews conducted with the library managers.
Network File System Implementation on Computer-Based Exam

In the world of education, exam is the final stage to evaluate the student abil-ity. The length of the correction process and the expensive cost of printing for manually exams are obstacles that often occurs when administering the ex-ams. Computer-based exams is an effort that is present to solve the problems, by using a computer, then the cost of printing documents and others can be minimized, besides that there is no need for manually correction time, be-cause when students finished the exam, the student's grades can be immedi-ately known. So many advantages are offered by computer-based exams but of course there are still problems that arise. The most common thing is the slow server in processing requests from clients when accessed together, in-creasing the number of servers using Network File Server is one of the efforts to correct the shortcomings of computer-based exams. Using Network File Server is expected to be able to overcome these problems.
Research on the Construction Scheme of Jiangsu Taihu Intelligent Tunnel Based on Cloud Platform

Abstract Taihu underwater tunnel in Jiangsu province is an ultra-long and ultra-wide tunnel, both longer and wider than the Hong Kong-Zhuhai-Macao bridge. It is worth discussing how to guarantee the safety of underwater tunnel, give play to the application of intelligent transportation, make travellers get all-round comfortable service and managers get economical and efficient management. Starting from the cloud platform and taking Taihu tunnel as the background, this paper analyses the status quo of the tunnel at home and abroad, draws lessons from experience, and studies the structure and functions of the construction scheme of Taihu intelligent tunnel from the perspective of “safety, comfort and economy”.
Feelings of Figures in Novel Notes Juang Fiersa Besari (Personality Ludwig Klages)

This study aims to describe the feelings of the characters in the novel Juang Notes by Fiersa Bersari and researchers analyze using personality theory originated by Ludwig Klages by focusing his study on the personality structure of feelings. Feeling is a process of someone accepting or rejecting something in life. This study uses a qualitative approach by using library techniques to obtain data that will produce a description of the words or sentences in the observed study. In the analysis of this research using the hermeutics technique, in the hermeutics technique there are several stages, namely reading the research object in this study in the form of a fighting journal, the second gives a mark on the data that has been obtained from the reading results, the third provides code or coding on the data that has been found, and the fourth is to analyze data that has been obtained from the object of research in accordance with the specified research focus. Novel Notes Juang by Fiersa Besari is a novel that can be used as an inspiration for readers in living life. Based on the results of the study it was found that in the Fighting Notes novel there is a feeling that is divided into inner activities and the level of clarity, inner activities in the novel in the form of fear and guilt while viewed from the level of clarity in the form of happiness, sadness and longing.
Аспекты использования технологий прототипирования и искусственного интеллекта в рамках цифровой трансформации образовательного процесса

The paper is devoted to the problems of the additive technologies application and artificial intelligence in the educational and research processes of educational institutions. We characterized the features of additive technologies used for prototyping 3D objects. The results are presented and prospects for additive technologies use in the educational process associated with the mathematical profile teaching disciplines are described. We proposed the variants of additive technologies use for problems solving of modeling for systems with intellectual and cognitive components. The possibilities of creating automated intellectual learning systems based on artificial intelligence are studied. The possibilities of additive technologies as the tool to increase the effectiveness of mathematics teaching in the framework of education digitalization are analyzed. Additive technologies in the process of mathematics teaching are considered as the structure chain of a hybrid intellectual learning environment in the triad teacher – computer – student.
An empirical study on the evaluation of the open sharing capability of meteorological data based on the data of 5 provincial meteorological departments

Abstract Data sharing benefit evaluation is an important guarantee for the continued stable construction and application of data sharing projects and an important basis for making data application policies. Although meteorological data is an essential part of the basic strategic resources of national big data, through domestic and foreign research, there is no comprehensive system research on the comprehensive capabilities of data sharing services, especially on the meteorological industry. Therefore, writers of this paper establish an evaluation model for open sharing of meteorological data, select the open sharing capability of meteorological data from five representative provincial meteorological departments in China for pilot evaluation and empirical analysis, and then propose the applicability of the meteorological data sharing policy, unified meteorological data sharing service platform, overall planning and allocation of meteorological data resources and other policy recommendations.
From Shortsighted to Bird View: Jointly Capturing All Aspects for Question-Answering Style Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) aims to identify the opinion polarity towards a specific aspect. Traditional approaches formulate ABSA as a sentence classification task. However, it is observed that the single sentence classification paradigm cannot take full advantage of pre-trained language models. Previous work suggests it is better to cast ABSA as a question answering (QA) task for each aspect, which can be solved in the sentence-pair classification paradigm. Though QA-style ABSA achieves state-of-the-art (SOTA) results, it naturally separates the prediction process of multiple aspects belonging to the same sentence. It thus is unable to take full advantage of the correlation between different aspects. In this paper, we propose to use the global-perspective (GP) question to replace the original question in QA-style ABSA, which explicitly tells the model the existence of other relevant aspects using additional instructions. In this way, the model can distinguish relevant phrases for each aspect better and utilize the underlying relationship between different aspects. The experimental results on three benchmark ABSA datasets demonstrate the effectiveness of our method.
An Efficient Adversarial Attack for Tree Ensembles

We study the problem of efficient adversarial attacks on tree based ensembles such as gradient boosting decision trees (GBDTs) and random forests (RFs). Since these models are non-continuous step functions and gradient does not exist, most existing efficient adversarial attacks are not applicable. Although decision-based black-box attacks can be applied, they cannot utilize the special structure of trees. In our work, we transform the attack problem into a discrete search problem specially designed for tree ensembles, where the goal is to find a valid that leads to mis-classification while having the shortest distance to the original input. With this formulation, we show that a simple yet effective greedy algorithm can be applied to iteratively optimize the adversarial example by moving the leaf tuple to its neighborhood within hamming distance 1. Experimental results on several large GBDT and RF models with up to hundreds of trees demonstrate that our method can be thousands of times faster than the previous mixed-integer linear programming (MILP) based approach, while also providing smaller (better) adversarial examples than decision-based black-box attacks on general $\ell_p$ ($p=1, 2, \infty$) norm perturbations. Our code is available at this https URL.