Reviewerly/exHarmony huggingface dataset:
Epsilon-Rotation Invariance using Approximate Euclidean Spheres Packing Algorithm for Cancer Treatment Planning

Cancer treatment planning using SRS (Stereotactic Radio Surgery) uses approximate sphere packing algorithms by guiding multiple beams to treat a set of spherical cancerous regions.Usually volume data from CT/MRI scans is used to identify the cancerous region as set of voxels.Computationally optimal Sphere Packing is proven NP-Complete.So usually approximate sphere packing algorithms are used to find a set of non-intersecting spheres inside the region of interest (ROI).We implemented a greedy strategy where largest Euclidean spheres are found using distance transformation algorithm.The voxels inside of the largest Euclidean sphere are then subtracted from the ROI, and the next Euclidean sphere is found again from the subtracted volume.The process continues iteratively until we find the desired coverage.In this paper, our goal is to analyze the rotational invariance properties of resulting sphere-packing when the shape of the ROI is rotated.If our sphere packing algorithm generate spheres of identical radius before and after the rotation, then our algorithm could also be used for matching and tracking similar shapes across data sets of multiple patients.In this paper, we describe unique shape descriptors to show that our sphere packing algorithm has high degree of rotation invariance within ±epsilon.We estimate the value of epsilon in the data set for 30 patients by implementing these ideas using Slicer3D™ platform.
Facilitating Access to Restricted Data

&#x0D; The decision to allow users access to restricted and protected data is based on the development of trust in the user by data repositories. In this article, I propose a model of the process of trust development at restricted data repositories, a model which emphasizes the increasing levels of trust dependent on prior interactions between repositories and users. I find that repositories develop trust in their users through the interactions of four dimensions â€“ promissory, experience, competence, and goodwill â€“ that consider distinct types of researcher expertise and the role of a researcherâ€™s reputation in the trust process. However, the processes used by repositories to determine a level of trust corresponding to data access are inconsistent and do not support the sharing of trusted users between repositories to maximize efficient yet secure access to restricted research data. I highlight the role of a researcherâ€™s reputation as an important factor in trust development and trust transference, and discuss the implications of modelling the restricted data access process as a process of trust development.&#x0D;
KPMG Spark: Bringing Cutting-Edge Technology to SME Clients

Technology is changing the accounting processes allowing for quantum leaps in efficiency, accuracy, and usability of key accounting data. KPMG Spark has implemented numerous cutting-edge technologies (such as Blockchain, artificial intelligence, data analytics, cloud computing, and machine learning) to improve accounting services for small- to medium-sized enterprises. This study of the application of these technologies in the accounting environment can help illustrate the potential impact of technology on the way business processes can be streamlined.
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN SERTIFIKASI PENDIDIK GURU SMP DI KABUPATEN MURUNG RAYA DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

&#x0D; &#x0D; &#x0D; &#x0D; Means of government to improve quality of teacher is accomplished through teacher certification. It is done by selecting every teacher listed in Education Board in Indonesia. Lots of data of participants of the teacher certification and confusion of criteria in selection of the teacher certification done by committee of the teacher certification can cause inaccurate data of the eligible participants to be certified. It causes gap for teacher which is actually eligible to be certified. To overcome the situation, it is necessary to produce a computer-based systematic effort for every working unit, in this case is Education Board of Murung Raya Regency in Central Kalimantan. The Development of Decision Support System which was used in this study was started by analyzing available system and analyzing related literature, Government Regulations, which was used as legal foundation to process data related to the teacher certification. Teacher certification scoring used Simple Additive Weighting (SAW), which scored every datum and then was normalized by matrix. The result of matrix normalization obtained the final score of 7 (seven) criteria for every teacher which later will be ranked from the highest to the lowest. The rank was utilized to decide priority of teacher which was eligible to be certified. This application used Borland Delphi 7 as the programming language and MySQL as the database engine. The result of this study was a helping application to recommend teacher certification. Data which was produced by the application showed the similar result compared with the result of manual scoring from the institution. Therefore, it is suggested to implement the application since it is really helpful to assist the Education Board of Murung Raya, especially for employment construction to decide priority teacher to get the certification for every year as long as the regulation or policy does not change.&#x0D; &#x0D; &#x0D; &#x0D;
THE EFFECT OF USING ACTIVE KNOWLEDGE SHARING STRATEGY ON SPEAKING ABILITY OF THE SECOND GRADE AT MTS SWASTA JA’FAR LINGGA TIGA IN ACADEMY 2019/2020

This study aims to determine speaking ability of students in Mts Swasta Ja’far Lingga Tiga using active knowledge sharing strategy. Data collection technique used in this research is direct observation and tests. In this study population is the entire amount to 70 students. While the sample is taken by as many as 40 students. Data analysis technique used in this study is a technique Product Moment Correlation Coefficient. Data were analyzed through the software package SPSS 20.00 (Statistical Package for Social Sciences). Results of test analysis correlation of product moment correlation coefficient formula used in this study was obtained index calculated correlation coefficient (rh) amounted At the hypothesis test in data pretest with experiment class by using the active knowledge sharing strategy and conventional strategy in control class is getting ttotal = 2,79 by significant level a = 0,05 and dk 30-2 so the ttabel = 2,04. The criteria of test is accepted H0 if ttotal ttabel (2,79 > 2,04). For the data Postest of experiment class is using active knowledge sharing strategy and control class by using conventional strategy is getting total thitung = 3,81 and ttabel = 2,04. The criteria of test is accepted H0 if ttotal ttabel (3,81 > 2,04). So we can make conclusion that H0 is rejected and Ha is accepted. Therefore Ho rejected and Ha accepted, so it can be concluded “There is a significant relationship between active knowledge-sharing strategy of the ability to speak to the students of class second grade in Mts Swasta Ja’far Lingga Tiga”.
Understanding Product Development Phases

In the past, most IT products were built following the waterfall methodology, which is based on requirements. The client provides a statement of work with all the requirements. The IT team will work on the architecture, the development, and the requirement implementation. This approach is not flexible and will limit the number of iterations that can be done. Furthermore, you will have to wait several months before you can see and use the product. Business needs, policies, etc., may change, and by the time your product is released, it may not be relevant or may not meet your business needs anymore. This approach can be costly if you want to make modifications after release.
The biggest annual Summer Reading Challenge is going digital for the first time

Councillor Luthfur Rahman, quote, Manchester Libraries, Summer reading challenge, Manchester City Council
Corrections to “An Active Learning Methodology for Efficient Estimation of Expensive Noisy Black-Box Functions Using Gaussian Process Regression”

In the above article <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , errors related to symbols, equation numbers, and demonstration of Algorithm 2 were spotted. The corrections had no influence on the results, discussion, or conclusion of the article.
No Lunch Today?! : An Analysis Of The Digitalization Assemblage In Higher Education During A Power Outage

Digitalization processes are often seen as one of the hallmarks of modernity in Europe, as the EU continuously support the nationwide implementation of digital technologies through policies that al ...
Contextual Features and Sequence Labeling Techniques for Relevance Prediction in Retrieval

Query performance prediction (QPP) is the name given to approaches that aim at predicting, usually post-query, the quality of results generated by an IR system. Yet, the indirect way that standard QPP approaches estimate performance is opaque, has little relation to the way users evaluate queries, and is limited in application. An alternative, more challenging way to look at the QPP problem is as a relevance prediction problem. Instead of resulting in a quality estimate, relevance prediction aims at predicting the relevance of the top-k results in a rank. When accurate, those predictions can be directly employed as a mechanism to improve the initial rank. In this work, we explore a learning framework based on sequence labeling combined with contextual features for relevance prediction. Sequence labeling is a common approach to deal with sequential data, learning from the sequence to generate a sequence of predicted labels. The context within a rank, that is, the neighborhood of ranked objects, has been successfully explored within rank-aggregation and re-ranking scenarios, and here we extend the idea to devise an effective relevance prediction feature. We show that the combination of both can beat the baseline relevance prediction approach, performing effective prediction, that is accurate for up to k = 30 positions.
GraphSIF: analyzing flow of payments in a Business-to-Business network to detect supplier impersonation

Abstract Supplier Impersonation Fraud (SIF) is a rising issue for Business-to-Business companies. The use of remote and quick digital transactions has made the task of identifying fraudsters more difficult. In this paper, we propose a data-driven fraud detection system whose goal is to provide an accurate estimation of financial transaction legitimacy by using the knowledge contained in the network of transactions created by the interaction of a company with its suppliers. We consider the real dataset collected by SIS-ID for this work.We propose to use a graph-based approach to design an Anomaly Detection System (ADS) based on a Self-Organizing Map (SOM) allowing us to label a suspicious transaction as either legitimate or fraudulent based on its similarity with frequently occurring transactions for a given company. Experiments demonstrate that our approach shows high consistency with expert knowledge on a real-life dataset, while performing faster than the expert system.
Measurement of Wall Shear Stress on Curved Surface by Oil Film Interferometry

In this study, local skin friction was measured on the suction surface of the airfoil by using the oil film interferometry (OFI). The airfoil model had NACA0012 wing section and the airfoil flow condition was under the lifting condition of Re=8.0×104. OFI was performed with adjustment of angle of light source and camera for local airfoil surface. It was found that the adjustment affected measurement accuracy of local skin friction. The measured local skin friction had difference of less than 2% compared to the LES results by Miyazawa et al.1).
ALIRAN TEMATIK DALAM PENDAHULUAN PENULISAN KARANGAN MURID BUKAN PENUTUR JATI

The teaching of quality writing requires the well-organized and systematic procedures as aprocess to construct excellent writing. Such procedures can be identified through observation giventowards the flows of information in the constructed writing. This research focuses on Thematicflowmapping (information flow) implemented by non-native students based on their essay introduction.A total of 31 paragraphs (115 words) of the descriptive essay are analysed based on the McCabe Model(modified by Danes) by applying the Theme and Rheme elements of Functional Linguistics Theory. Theresults found that students preferred to use Various Thematic(Mixed, Separate, Incarnate) and Linear.The findings enable to apply a new teaching method to be used by the teachers in schools thus could ableto assist the students and teachers to identify the weaknesses of students in representing information intheir essay‟s introduction.
Man-Machine-Environment Virtual Design and JACK Simulation of Rosa Roxburghii Picking Machine

In order to improve the coordination between human and agricultural machinery, taking Rosa roxburghii picking machine as an example, a virtual design method based on human-machine-environment system, combined with three-dimensional digital simulation technology and human skeleton biology and other disciplines is proposed. Three-dimensional parametric modeling of Rosa roxburghii picking machine is carried out by using three-dimensional engineering software. In JACK simulation software, a digital human body model is created to analyse the comfort, accessibility and visibility of the operator. The coordination degree of agricultural machinery design in the human-machine-environment system can be judged in advance, and targeted optimization design can be carried out to achieve the purpose of improving the coordination between human and machinery in the human-machine-environment system and reduce the accident rate. This method shortens the research and development cycle of agricultural machinery and provides a reference for humanized design of agricultural machinery design.
Research on the Construction of Information Visualization-Dynamic Chart

According to the current development direction in the field of information visualization, the dynamic chart is studied as the expression form of time series data, and the visualization model between data and people is established. By means of cognitive psychology, statistical analysis and eye tracking, this paper studies and analyzes the attention, memory and thinking of users in each stage of visual thinking activities at visual terminals, and explores the specific use environment, methods and standards of dynamic charts. Furthermore, it provides an effective reference for the research of information visualization in temporal data visualization and visualization effect evaluation.
Pengolahan Air Lindi Menggunakan Metode Constructed Wetland di TPA Sampah Tanjungrejo, Desa Tanjungrejo, Kecamatan Jekulo, Kabupaten Kudus

Leachate is a water that formed in landfills which dissolves compunds that have pollutant content, expecially high organic matter. The high content of pollutants has an impact on the health of the community and the ecosystem around the landfill site . This research is located in  Tanjungrejo’s landfill, Tanjungrejo, Jekulo District, Kudus Residence. Methodology of the research was started with survey, , grab sampling, and laboratory analysis . Lechate water quality was tested at laboratory considered parameter such as pH, BOD, COD, TSS, N Total, and Cadmium was tested based on quality standard policy by Ministry of environmental and forestry Indonesia No. P.59/MenLHK/Setjen/Kum.1/7/2016. Constructed wetland method were conducted in two different time durations, which are 3 days and 6 days using Typha angustifolia. The result of this research showed that Constructed wetland method with 3 days showed highest effectivity is in TSS with 65,625% and the lowest in pH with 6,893% while contructed wetland method with 6 days shown highest effectivity is in TSS with 70,714%  and pH with 17,437%. Therefore, contructed wetland method with 6 days showed more effective than with 3 days. Keywords: Constructed Wetland, Leachate Water , Landfill.
PERSEPSI GURU TERHADAP EFEKTIVITAS PENGGUNAAN E-RAPOR DI SMA NEGERI 1 AMPEK ANGKEK, KABUPATEN AGAM

This study aims to determine the effectiveness of the use of e-report by teachers at High School (SMA) Negeri 1 Ampek Angkek, Agam. This research is a descriptive study with a quantitative approach. The population of this study were all teachers who served as civil servants totaling 70 people. While the sampling technique in this study uses a total sample with the number of samples equal to the population. The data collection technique is through questionnaires with Likert scale models that have been tested for validity and reliability. The results of the study show the effectiveness of the use of e-report by teachers at SMA Negeri 1 Ampek Angkek, Agam can be said to be effective. This can be seen from the average score obtained per indicator which shows that the system quality indicator gets a score of 3.49 with a fairly effective category, the information quality indicator scores 3.74 with the effective category, the service quality indicator 3.79 with the category effective, usage satisfaction indicators get a score of 3.81 with effective categories, and profit indicators that get a score of 4.03 in the effective category. So the use of e-report by the teacher at SMA Negeri 1 of Ampek Angkek, Agam can be declared effective by getting an average score of 3.77.
Hardware and software techniques for sparse deep neural networks

Over the past four decades, every generation of processors has delivered 2x performance boost, as predicted by Moore&apos;s law. Ironically, the end of Moore&apos;s law occurred at almost the same time as computationally intensive deep learning algorithms were emerging. Deep neural networks (DNNs) offer state-of-the-art solutions for many applications, including computer vision, speech recognition, and natural language processing. However, this is just the tip of the iceberg. Deep learning is taking over many classic machine -learning applications and also creating new markets, such as autonomous vehicles, which will tremendously amplify the demand for even more computational power.
Online? No Problem! Interns Work Virtually for Summer 2020 Session

Every summer, thousands of students intern at NASA - contributing to the missions of human space flight, space science and Earth research.
Coarse Classification of Teeth by means of Shape Descriptors

This paper presents the problem of coarse classification in an application to teeth shapes.Coarse classification allows to separate a set of objects into several general classes and can precede more detailed identification or narrow the search space.Features of an object are mainly determined by its geometrical aspects, therefore we investigate the use of shape description algorithms, namely the Two-Dimensional Fourier Descriptor, UNL-Fourier Descriptor, Generic Fourier Descriptor, Curvature Scale Space, Zernike Moments and Point Distance Histogram.During the experiments we examine the accuracy of classification into two classes: single-rooted teeth and multi-rooted teeth-each class has five representatives.We also employ an additional step of data reduction.Reduced representations are obtained in three ways: by taking a part of an original representation, by predefining a shape description algorithm parameter or by applying an additional step of data reduction technique, i.e. the Principal Component Analysis or Linear Discriminant Analysis.Euclidean distance is used to match final feature vectors with class representatives in order to indicate the most similar one.The experimental results proved the effectiveness of the proposed approach.
Discourse analysis on teacher-students interaction pattern of English teaching learning process

The objectives of this research are to: (1) describe patterns of teacher-students interaction of English Teaching Learning process in the Tenth Grade of SMK Negeri 1 Saptosari Gunungkidul, and (2) reveal the interactional features used by the teacher related to the pedagogic goals during teaching learning process. This research belongs to discourse analysis which aims at describing conversation and interaction of teacher-students during English teaching learning process in the tenth grade of SMK Negeri 1 Saptosari Gunungkidul. The data were collected through observation and backed up with reading and were analyzed using the theory of IRF exchange structure and the SETT Framework (Walsh, 2006). The result showed that there were 20 patterns of interaction of 21 exchange structures used in 7 types of transaction. The transactions were opening/greeting session, introduction, warm up/re-checking session, explaining session, instructioning session, practicing session, closing/note taking session. Some interactional features used by the teacher were found in the classroom interaction. There were 10 types of interactional features were used by the teacher with the total number 115. The using of display question 47, confirmation checks 17, predominant of IRF was 12, use of scaffolding 11, form focused feedback 9, clarification request 7, teacher turn by giving instructions 4, teacher turn by giving explanations 3, corrective repair 3, use of transactional marker 2. It revealed that the use of display questions was the most commonly used by the teacher in this classroom interaction. From the classroom interaction, it can be concluded that the teacher tended to pose display questions which prevented the students to express their elaborate ideas. The teacher also gave few scaffolding in her teaching and it hindered the students’ fluency. However, it might be effective for vocabulary learning through the exercise discussion.
The Development of Learning Media Novelmatika E-Book to Improve Statistics Concepts Understanding: the Development of Learning Media Novelmatika E-Book to Improve Statistics Concepts Understanding

The use of instructional media is expected to help students learn mathematical concepts in a meaningful way, which can link concepts in mathematics and apply them in solving problems of daily life. The learning media used must discuss mathematics contextually. It means in accordance with the problems that exist in students' daily lives. Therefore this study aims to develop learning media with e-book models of Novelmatika  on statistical material. The use of the term Novelmatika  is intended so that when students read this e-book it is like reading a novel that is fun and not burdened like reading a textbook. This research is a development research. The design of this study uses the ADDIE (Analysis-Design-Development-Implementation-Evaluation) model. This research has been carried out to the Evaluation stage, namely by conducting pretest-posttest before and after the use of the Novelmatika e-book. The mean pretest value was 52.30%, while the average posttest value was 79.46%. This means an increase in understanding of statistical concepts in students by 27.16%.
The Effects of Different Triangulation Techniques for Cage Based Image Deformation Using Generalized Barycentric Coordinates

In computer graphics, the generalized barycentric coordinates (GBC) are often used for image deformation.To manipulate an input image using a cage based image deformation method, we usually have to consider a source polygon with a triangulation; but defining the triangulation of the source polygon is not a trivial task in most cases.In this paper, a uniform and a non-uniform triangulation techniquewhich can be the basis of the cage based image deformation-are introduced and compared.Moreover, different texture filtering methods are tried, producing various deformation results.Experimental results and demonstrative pictures show the behaviors of the triangulation methods.