Reviewerly/exHarmony huggingface dataset:
Integrated Bio-Cycles Farming System for healthy Food and Food sovereignty during Pandemic of COVID-19

Since WHO established COVID-19 as a pandemic, many countries have maintained calm downs, soft downs, and lockdowns. To prevent the spread of the virus more widely, by avoiding crowds of people. The Indonesian government also applies large-scale social restrictions (PSBB) to various areas of the pandemic red zone. Business, industry, production, education, restaurant, worship, performance, art, travel, sports, tourism are suspended, and Work from Home (WFH) is implemented. Both lives and livelihoods are at risk from this pandemic. Agricultural harvest and meat products at the beginning of the lockdown due to the COVID-19 pandemic made abundant stockpiles, and prices fell below the production price. The next food production cycle is hampered due to the dry season, lockdown, and declining business prospects. The food supply chain is a complex web that involves producers, consumers, agricultural and fishery inputs, processing and storage, transportation, and marketing. Tropical ecosystems have an essential role in global climate change, biodiversity, life cycle, healthy food, food production, food safety, food sovereignty, food supply chain, bioeconomic, environment, social culture, and environment (Agus, 2018). Indonesia has an advantage as an equatorial emerald with the highest natural productivity in the world, about ten times compared to temperate regions because it is supported by high temperatures, rainfall, humidity, sunlight, and organic cycles year. Integrated bio-cycle farming system (IBFS) can become a new superhero sector of the national economy in managing the community-based, superior land (soil, water, air) and biological (animal, plant, and human) resources (Agus, 2018). Farmers who are food producers, which make up 70% of Indonesia's population, are highly dependent on the food industry. The strategic efforts towards food sovereignty of the Government of Indonesia through the Nawacita program are quite reasonable but are still conventional. Covid-19 and hydrometeorology disaster mitigation due to global climate change must be anticipated and mitigated. Modern nano-biotechnology is expected to be a big leap to produce food efficiently and effectively in the future. The government must also provide agricultural machinery technology assistance; subsidize agricultural inputs, price subsidies, tax exemptions, and agricultural insurance. Indonesia will be able to become a full food sovereignty country if agriculture as an integrated village development locomotive is managed from upstream to downstream synergistically and well.
Supervised Learning Using Quantum Technology

In this paper, we present classical machine learning algorithms enhanced by quantum technology to classify a data set. The data set contains binary input variables and binary output variables. The goal is to extend classical approaches such as neural networks by using quantum machine learning principles. Classical algorithms struggle as the dimensionality of the feature space increases. We examine the usage of quantum technologies to speed up these classical algorithms and to introduce the new quantum paradigm into machine diagnostic domain. Most of the prognosis models based on binary or multi-valued classification have become increasingly complex throughout the recent past. Starting with a short introduction into quantum computing, we will present an approach of combining quantum computing and classical machine learning to the reader. Further, we show different implementations of quantum classification algorithms. Finally, the algorithms presented are applied to a data set. The results of the implementations are shown and discussed in the last section.
Hybrid Approach for Orientation-Estimation of Rotating Humans in Video Frames Acquired by Stationary Monocular Camera

The precise orientation-estimation of humans relative to the pose of a monocular camera system is a challenging task due to the general aspects of camera calibration and the deformable nature of a human body in motion.Thus, novel approaches of Deep Learning for precise object pose-estimation in robotics are hard to adapt to human body analysis.In this work, a hybrid approach for the accurate estimation of a human body rotation relative to a camera system is presented, thereby significantly improving results derived from poseNet by applying analysis of optical flow in a frame to frame comparison.The human body in-place rotating in T-pose is thereby aligned in the center, applying object tracking methods to compensate for translations of the body movement.After 2D skeleton extraction, the optical flow is calculated for a region of interest (ROI) area aligned relative to the vertical skeleton joint representing the spine and compared frame by frame.To evaluate the eligibility of the clothing as a fundament for good feature, the local pixel homogeneity is taken into consideration to restrict the optical flow to heterogeneous regions with distinctive features like imprint patterns, buttons or buckles besides local illumination changes.Based on the mean optical flow with a coarse approximation of the axial body shape as ellipsis, an accuracy between 0.1° and 2.0° by a target rotation of 10° for orientation-estimation is achieved on a frame-toframe comparison evaluated and validated on both, Computer Generated Imagery (CGI) renderings and real-world videos of people wearing clothing of varying feature appropriateness.
The Impact of Online Courses towards Students in Autonomous Learning Based on New Media Technologies

In the 21st century, the rapid development of online technology has dramatically transformed people’s way of lives. The emergence of high-tech products has also boosted modern education to embrace informationization and virtualization. With the promotion and development of online courses, autonomous learning is now emerging among students in colleges and universities. If they want to learn relevant professional knowledge, they could use networking and information technology with relevant devices. This learning method could not only impact traditional education but also facilitate students to explore new ways to learn autonomously. This paper is to discuss the impact of online courses towards students in autonomous learning by analyzing its current learning situation, the feature of this new form and its effects towards students.
Automobile classification using transfer learning on ResNet neural network architecture

Classification is one of the most common problems that neural networks are used for. In the case of higher resolution image classification, convolutional neural networks are commonly used. Due to the reason that convolutional neural networks are so often used in classification, there are many pretrained models that can be adapted for new domains using a technique called transfer learning. This paper shows how excellent results in classification accuracy can be achieved by applying transfer learning to pretrained convolution neural network. This paper presents the results of the learning transfer of the ResNet-152 convolution neural network on the Stanford Cars dataset. The results show accuracy over 88% only by training the last fully connected layer.
10: Robotik II: Humanoide Robotik, Vorlesung, SS 2019, 15.07.2019

10 | 0:00:00 Start0:00:05 Imitation Learning0:11:06 Motivation: Learning from demonstration and human observation0:19:35 Motion Reproduction using MMM0:23:06 Open Pose - CMU0:26:53 Two levels of representation0:33:09 Segmentation0:36:10 Key Points0:41:28 Zero Velocity Crossings (ZVCs)
Research Guides: Identity Theft: Google versus Library Databases

Guide for resources on Identity Theft which will provide an overview of Stetson library resources on the topic.
PEMANFAATAN SISTEM INFORMASI MANAJEMEN SEBAGAI STRATEGI DALAM MENJALIN KERJASAMA SEKOLAH DENGAN WALI MURID DI SEKOLAH MENENGAH PERTAMA NEGERI 1 TALAMAU

Includes data management and data storage management is done simply where data is only stored in excel. It looks less effective and efficient in technology’s development. Now, in Education, the lack of good cooperation between the school and parents to support the application of management information systems to improve quality of education. This is the implementation of Management Information System is already being adopted by schools, especially in SMP N 1 Talamau. The researcher use field research method that is qualitative research. The outcomes are that existing management information systems already meet the standards, both in terms of the student, curriculum, human resources, the facilities and the quality of the user, who is able to manage the activities that exist in the school. And then, the role of parents is also important in implementing management information systems to improve the quality of education. SMP N 1 Talamau applies a specific strategy that utilizes information technology-based Management Information Systems, namely an information and consultation room that functions as a consultation center between the school and parents and gives access to parents to see the development of students' Academic values.
Implementação de um sistema eleitoral remoto - Vote Safe

A electoral system implementation becomes essential in nowadays due to technologicalevolution. The objective of this paperwork is to develop a online electoral system toperform the election remotely, fast and safe. Administrators can register the candidates andalso visualise the final results of the election instantaneously, and the electors have accessvia web using theirs registered credentials to participate the election and being able tochoose theirs candidates. All of these data security are based on data cryptography fromelectors votes. Therefore this system main objective is to bring security and agility to theelection.
ENCRYPTION OF TEXT USING IDENTITY BASED ENCRYPTION ANDBLOOM FILTER

Identity-Based Encryption that means simplication of general public key and certificates control at PublicKey Infrastructure is a good-sized substitute in comparison to public-key encryption. Be that because it may, one of thenumber one productiveness drawbacks of IBE is the transparency calculation at Private Key Generator in the course ofclient revocation. Effective rejection has been complete focused in commonplace PKI settings, but the cumbersomemanagement of testaments is unequivocally the load that IBE endeavors to ease. At the existing time, at looking after thecritical difficulty of person refusal, we deliver redistributing figuring into IBE is the reason that and advocate a IBE plotwithinside the server setting. Our association offloads a large little bit of the important thing age-associated errands in thecourse of key-giving and key-replace systems Key modernize cloud support provider, leave-taking simplest a predictablewide variety of essential assignments for PKG and clients to carry out locally. This aim is practiced via way of means ofutilizing a unique information secure system: we use a crossbreed non-public key for each customer, entryway isincorporated to interface and sure the person component and the time portion. As of the extension idea we're the usage ofthe bloom clear out to encrypt the data. By the usage of this bloom clear out we're lowering the encryption time ascompared to different techniques.
Multikeyword Rank Search Scheme for Unindexed Encrypted Cloud Data

Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which no longer support data utilization like keyword-based document retrieval. In this project, we present a secure multi keyword ranked search scheme over encrypted cloud data, which simultaneously supports dynamic update operations insertion and updating of documents. Specifically, We construct a special tree-based index structure and propose a "Greedy Depth-first Search" algorithm to provide efficient multi-keyword ranked search. The secure kNN algorithm is utilized to encrypt the index and query vectors, and meanwhile ensure accurate relevance score i.e keyword weitage calculation between encrypted index and query vectors. In order to calculate the TF value of the search keyword we use a pattern matching algorithm which indicates the occurrence of that particular keyword in a file. Due to the use of our special tree-based index structure, the proposed scheme can achieve sub-linear search time and deal with the insertion and updating of documents flexibly. Index
Preparing for Your Research

Whether you are a product owner, a stakeholder, or a service designer, it is essential to plan your project ahead of time. It is precisely the same with user research. There is a clear step-by-step process to go through before starting research.
5 Mistakes You Can Be Making On Your Website That Are Causing You Business Loss

Welcome to Learning with Connexion Solutions, today we are going to be talking about business websites. Having a professional website that informs, ...
Comparing Writing Errors of English Compositions for Boy and Girl Students in the English Graders of Southern Taiwan

This study aims to investigate the comparison of the English writing errors for both boy and girl students in the eighth graders’ English writing performance. The researcher collected 26 copies of English writing pieces from 26 boy and girl students in the eighth graders at Affiliated Junior High School of National Kaohsiung Normal University. This study is conducted with both qualitative and quantitative analysis. The major findings of this study are summarized as follows:&#x0D; &#x0D; The results show that the levels of boy and girl students’ English writing proficiency are mixed and most boy and girl students are less-experienced writers.&#x0D; All of the errors committed by boy and girl students are mainly fall upon lexical errors and grammatical errors. In addition, subcategorization is made 11 subcategories are listed under the two major error types.&#x0D; Among 26 copies of writing pieces, approximately about 65 % refers to grammatical errors and 26 % refers to lexical errors respectively.&#x0D; Possible factors in the English writing errors may refer to interlingual interference, intralingual interference, induced errors, cultural differences, structural differences, and carelessness.&#x0D;
The Impact of Utilizing a Large High-Resolution Display on the Analytical Process for Visual Histories

Visual history can be helpful in building awareness of various investigative documents exemplified by active visual artifacts that encourage the growth of and access to different threads of investigation. On the downside, however, with the growth of an analysis history, it becomes more difficult to keep track of the workflow and the decision-making processes throughout the analysis. This article explores the concept of supporting visual history through branching functionality for analyzing a cybersecurity dataset in a spreadsheet format using a large high-resolution display (LHRD). To support the findings, the authors conducted a qualitative study to investigate the effect of screen size on the analytical process and the support of visual history. A comparison of participants' analytic processes found differences between the two different display setups and revealed that the LHRD participants tended to take advantage of the visual history spatially during their analytical investigations.
Information policy security compliance in Dutch local government

This paper focuses on explaining employees' compliance with information security guidelines in Dutch local government. Information security has been given ample attention in government organizations in the Netherlands since the implementation of GDPR legislation in May 2018, and government organizations are, in general, an interesting context for information security research as government organization gather, process and disseminate large volumes of personal data, and therefore are in principal vulnerable to security risks. Using results from existing literate reviews, hypotheses are developed that suggest compliance is associated with individual employees' risk aversion, risk awareness, sanctions, peer pressure and management style. In order to test the hypotheses, three vignettes of security breaches (using unencrypted personal data, not logging out of unattended workstations, USB media lying around in the workplace) were developed and included in a questionnaire that was filled out by 153 public sector employees working for various local governments in the Netherlands. Multiple hierarchical regression analyses were used to test the hypotheses; risk awareness was found to have a significant impact on security policy compliance for two of the three vignettes, whereas hypotheses relating risk aversion, sanctions and management style to security policy compliance received no empirical support. Low levels of explained variance in the statistical analyses indicate that future models should incorporate other variables than those included in this study to better explain information security policy compliance.
Practical Research of Intelligence in Epidemic Prevention Product Design

The epidemic of infectious diseases is a public issue that should be taken seriously. Novel coronavirus pneumonia is sweeping across the world, focus on the related intelligent product design which can play a key role in the epidemic control is urgent and essential. This article based on the intelligent product design, by analyzing the current epidemic situation to find the week-points in the process of epidemic prevention, then using the user behavior analysis research and persona to pitching in, establish a certain resupply vehicle design “Helper” that may inspire the Novel coronavirus pneumonia epidemic control and the infectious diseases may happen in the future.
LibGuides: Library 101: Checkouts & Policies

This guide serves as an introduction to Library resources, checkout policies, hours, and research strategies. It provides a starting point for any new or returning students, faculty, and staff interested in starting research with library resources. This page describes about library collections, details which items can be checked out, and provides policy details regarding checkout period, renewals, and fines.
R code used by Braun, Wilkinson, and Cade (2020) in Technical Comment

This is R code that was used in a reanalysis of data published in Chen and Pfennig (Science, 20 March 2020, p. 1377).
LibGuides: How to Use Leganto: Welcome

This guide describes how faculty can set up and use Reading Lists in Blackboard with Leganto.
THE INFLUENCE OF L1 ON L2 IN TRANSLATION: ERRORS MADE BY YOGYAKARTA STATE UNIVERSITY STUDENTS

This study investigates the errors made by Indonesian English learners within crosslinguistic interference between L1 and L2 (Indonesian and English). The data were gathered by making the respondents translate 6 Indonesian sentences which are commonly used during class presentation into proper English. Such task was aimed at investigating the   interlingual   preposition errors induced by the process of transfer between the target language (English) and the source language (Indonesian). The translation task was assigned in 22 October 2018 to 19 adult EFL learners of English Education Magister’s Program of Yogyakarta State University semester I. They were asked to translate the sentences from Indonesian into English within the allocated time. The task was conducted directtly by writing down the translation on a piece of paper. The data was then analyzed through Coder’s error analysis theory.  The findings suggested that these particular English foreign language learners made the fewest errors on preposition omission – and more errors on wrong use and redundancy of prepositions.
Budgeting and Cloud Economics

How much value does the CIO’s IT shop deliver? This is the most common debate on whether an organization can or should move to the cloud. Cloud economics is the evaluation of cloud costs compared to on-premises costs. Certain aspects of both are hard to determine but are usually quantifiable. For example, what does an administrator’s time cost? We can determine that from their pay. What’s the cost of the datacenter’s square footage? Is the insurance or rent factored in? Can you recoup those costs if the datacenter is eliminated? Are your electric and water bills going to decrease because the workloads in the datacenter moved to the cloud? Is the virtual infrastructure you have provisioned utilized 24/7? Can you spin down the physical infrastructure when the virtual infrastructure is not using it? These are just a few of the questions that go into cloud economics.
THE PROBLEMS OF RAISING STUDENTS AWARENESS (MOTIVATION) IN THE PROCESS OF FOREIGN LANGUAGES TRAINING

The article highlights the problems of junior university students’ motivation to studying foreign languages. These problems are vital and widely discussed by scholars due to implementation of Bologna process. The author offers to understand the motivation as a process that combines individual and situational parameters aiming to transform the subject situation into the relevant motive. The author proves that the leading motive of the students should be awareness of the necessity of foreign language command for the successful professional activity. But students are primarily influenced by the teacher’s motivation. Under this framework the levels of the teacher’s activity forming is presented together with the framework of the motives study. On the basis of the references survey common classification of the motives is considered as well as techniques that stimulate the process of communication. The examples are taken from foreign and Ukrainian sources on methodology of teaching. These practical examples prove that communication centered training involves all language training skills. The article contains strategies and examples the above strategies. In the conclusion the reasons that determine students’ motivation are considered. It is proved that the most effective way of foreign language teaching is an interactive activity of a teacher and a student. Systematic estimation, encouragement and consideration of students’ professional interests are key elements in the process.
Introduction to Strings

Earlier, we mentioned printing out a string literal such as "Hello World." to standard output via:
Spiral Particle Distribution for Template based Tracking

This paper presents a new approach for tracking template-based objects based on spiral particledistribution algorithm. Proposed algorithm uses points on Archimedean spiral as possible location of object innext frame. Before applying algorithm, the system is provided with off-line learning of training data. After that,start point is initialized and algorithm for tracking is applied. Tracking starts from initialization location andsearches for the best matching point on spiral as a new starting point in the next frame. In this work ouralgorithm is explained and compared with basic particle filter tracking algorithm. Experiment is demonstratedwith real data on Croatian popular amateur game.