Reviewerly/exHarmony huggingface dataset:
Breast Cancer Prediction In Virtue Of Big Data Analytics

The term big data is used to collect information, which is enormous and still emergent and increases exponentially concerning time. Big data covers both arranged and rearranged data. In the present scenario, big data is playing an essential vital role in the healthcare industry for the forecasting of the diseases. In the healthcare industry, Breast cancer is one of the crest cancers occurring in women of various age groups. Breast cancer is another reason for most of the deaths of women across the nation. The only solution to this is the detection of the disease in the early stages, which gives us chances for finding a better solution and cures of the illness. This problem can be implemented by taking the dataset using the K nearest neighbor (KNN) algorithm to find the classification of the accuracy (i.e., Percentage) based on the machine learning for dealing with the problem analyze the medical issues for further treatments.
Research on path planning technology of mobile robot based on visual obstacle avoidance

Aiming at the problems of unsmooth and low efficiency in path planning of the indoor mobile robot, a path planning obstacle avoidance system is proposed. First, the global path is generated in the environment grid map by A* algorithm. Second, as the pose constraint, the Reeds-Shepp path set can generate the executable control instructions by extracting the key points of the path. Third, the static/dynamic obstacle is recognized by a binocular camera and avoided by a decision-making method. The experimental result shows that the generated path can meet the actual motion constraints of the mobile robot, the relative error of the obstacle depth distance is 0.03%, which meets the requirements of the robot path planning.
Reducing g(2)(0) of a Parametric Down-Conversion Source via Photon-Number Resolution with Superconducting Nanowire Detectors

We demonstrate a 13± 0.4% reduction of the second-order correlation function g (2) (0) by harnessing the photon-number resolving capabilities of commercial super-conducting nanowire single-photon detectors, improving the quality of a heralded single-photon source.
An Analysis of Students’ Writing Difficulties in Procedure Text at Ninth Grade Students of SMP N 10 Tanjungpinang

Writing is one of the important parts of English skills that should be mastered by students besides listening, speaking, reading. T he function of writing skills is the most effective way to show someone‟s English proficiency, includingthe ability and difficulties. The instruments of this research are the interview and writing test as the support data. Therefore, the researcher conducted a descriptive qualitative study analysis. The technique in analyse the data of the interview is adescriptive analysis technique (percentage) and descriptive analysis technique without percentage to analyse the writing test. The researcher conducted research based on one research question. The research questions are “What are the students‟ writing difficulties in procedure text faced by the ninth grade students of SMP N 10 Tanjungpinang in the academic year of 2019/2020? “and “What are the dominant students‟ writing difficulties in procedure text faced by ninth grade students of SMP N 10 Tanjungpinang in the academic year of 2019/2020?”. Based on the research question, the result of the research to conclude that the students have difficulties in social function, structure text, language features, and topic. The research shows the dominant factor students‟ writing difficulties in procedure text is language features, like vocabulary and grammar which make the students difficult when writing the procedure text.
Pengaplikasian Sistem Penuaian Air Hujan di Tapak Semaian UTHM

Rainwater Harvesting System (SPAH) is one of the best management methods applied in Malaysia. This is because of its ability to be a source of alternative water supply that is safe to use and free. However, the issue of wastage of treated water and lack of clean water resources is often a contentious issue in Malaysia. SPAH is still not fully applied in the agricultural sector and is considered trivial by some communities. This study aims to analyze how an efficient SPAH design can be built and help its users, namely the UTHM Nursery in saving the use of treated water while reducing water bills. UTHM Nursery has been selected as a study area where it is one of the places that need a lot of water use. The approach of this study is qualitative, involving the UTHM Development and Maintenance Office (PPP UTHM) which is assigned to take care of the affairs of the nursery. Observations and fieldwork will be done to obtain the appropriate SPAH design selection data such as catchment area, types of building materials, rainfall distribution data in the area and so on. Data analysis will be done using the storage water tank capacity calculation formula obtained from the Department of Irrigation and Drainage (DID) and modeled using Revit software. Based on the results of this study, the application of SPAH in the UTHM Nursery will help in providing alternative water supply, save water bills in UTHM and reduce the cost of its application. Therefore, sustainable water use will be able to be created and even the maintenance cost of SPAH which has been a problem can also be resolved with the availability of efficient SPAH design and suitable for the study area.
FAIRsFAIR M4.3 CoreTrustSeal+FAIRenabling, Capability and Maturity

This milestone (M4.3) document updates the previous CoreTrustSeal+FAIR Overview and the Draft Maturity Model Based on Extensions and-or Additions to CoreTrustSeal Requirements (M4.2). The latter document provides extensive context and references component documents that provide the foundation for this work. The authors would like to thank the CoreTrustSeal Board for their valuable feedback on a pre-publication version of this text including alignments and target capabilities. The authors acknowledge that while recommending that repositories adopt this approach, no formal adoption and integration into the CoreTrustSeal requirements or processes can take place outside the scheduled, periodic community review process.
Graph State Distribution: Integer Formulation

Graph states are a particular class of entangled quantum states, that play essential roles in distributed quantum computing and quantum communication. In both cases, graph states are usually used as resources for a specific set of quantum computers to share information. Therefore, distributing a graph state across a quantum network is an important problem. Currently, we do not have an efficient method for generating Einstein-Podolsky-Rosen(EPR) pairs on demand. Hence EPR pairs needed to distribute graph states are critical resources, and it is important to design distribution algorithms that reduce the need for such resources. Meignant et al. [1] presented the edge-decorated complete graph algorithm that uses n(n – 1)/2 number of EPR pairs to distribute the given graph state, where n is number of node in the network. Fischer et al [2] proposed the Graph State Transfer (GST) algorithm, which consumes fewer EPR pairs. However, GST requires an unbounded amount of memory at each node and preparation of the entire graph state in a single network node. In this poster, we present an integer programming formulation that removes these two assumptions. The model accounts for both the topology of the quantum network and memory constraints at each network node. Meanwhile, we propose a greedy algorithm to solve the problem.
Chinese Text Emotional Analysis Based on Bi-LSTM Model Fusing Emotional Features

With the development of neural network, the method based on neural network is widely used in affective analysis. This model can get better results than the traditional machine-based learning method. However, it ignores a large number of existing emotional knowledge, such as emotional lexicon. In order to solve the problem, this paper proposes a features construction method based on emotional lexicon, and incorporates features into Bi-LSTM. The experimental results show that the improved Bi-LSTM can obtain higher F1 score.
Computer Assisted Health Care Framework for Breast Cancer Detection in Digital Mammograms

Computer aided diagnosis (CAD) system has the capability of highlighting and locating the suspicious abnormal regions in medical images through adoption of image enhancement and segmentation algorithms. Therefore, in this study, an efficient framework for the detection of suspicious mass regions in digital mammograms is presented. The proposed approach helps to locate suspicious mass regions with high accuracy. In present work, marker-controlled watershed approach with some new image processing functions are used to develop computer aided diagnosis system. The watershed transformation is a powerful tool for image segmentation based on mathematical morphology. However, the main drawback of this method is the over-segmentation problem that happens due to the presence of many local minima. Therefore, an efficient approach based on marker-controlled watershed method is proposed here to reduce the effect of over-segmentation in mammographic images. In addition, this method gives higher segmentation performance and yields more accurate lesion contours in mammograms. The proposed method consists of three main steps: image denoising, image enhancement, and the mass segmentation. Pre-processing algorithm is developed using median filter followed by image intensity adjustment functions to improve the quality of the raw input image. The developed computer potential to be used as a diagnosis tool to support radiologists during the interpretation of screening mammograms.
SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA JASA PRAMUBAKTI MENGGUNAKAN METODE MOORA

Decision support system is a system that can help problems that can help problems that occur for decision making quickly and can know the highest to lowest value to determine the selection results. In this research there is a case study which is an example of solving a problem with a decision support system, where the problem of the case at the Boalemo District Police is how to conduct performance appraisal of pre serving services that still use the manual method making the performance appraisal process take a long time to get results. Therefore created a system that supports decisions that can help the assessment process. This study aims to test the performance and effectiveness of the decision support system of the Pramubakti service performance assessment using the MOORA method as a basis for decision making. Based on the results of research that has been carried out it can be concluded that the system can assist the decision makers in carrying out performance appraisals quickly. Evidenced by the results of testing conducted  with the white box testing method and base path testing which produces a value of V(G) = 4 CC, so it is obtained that the logic of the flowchart calculation of normalization and assessment is correct based on black box testing which includes test input processes and output with reference to software design has been met with results in accordance with the design.
Development of Learning Methods in Context of Digital Humanities

The article discusses the possibilities of the project method implementing to the university education in the transition period from offline to online training. The requirements for the educational environment dictated by the peculiarities of its digitalization and students autonomization are analyzed  The pedagogical aspects are considered in the context of the interdisciplinary approaches of digital humanities as learning content and teaching methods. Such approaches to the higher education pedagogy allows to improve the quality of education and ensure the successful mastering by students of the competencies necessary of the digital society specialists.   The article presents the results of an experiment on the use of the project method, which was carried out as part of the pedagogical activities of the Department of Information Systems in Art and Humanities of the Faculty of Arts of St. Petersburg State University during 2018-2021.  The results obtained indicate that the approaches of digital humanitarian pedagogy contribute to the more effective development of students' competencies of a specialist in a digital society.
K-means clustering for the analysis of incomplete business data

Missing values can significantly reduce the accuracy and availability of business data.Usually, when clustering incomplete data, the data with missing values are deleted, and only the complete data are analyzed.However, this often leads to significant loss or deviation of information.This paper mainly studies how to use unsupervised machine learning techniques to deal with missing values.The combination of imputation method and clustering technology forms a new method to deal with missing values, which is helpful to overcome the problem of missing data.We propose a strategy based on the combination of K-means, big data K-means, p-k-means, and mean imputation method, singular value decomposition imputation method, k-nearest neighbor imputation method.By comparing the performance of nine methods in different business data sets.The experimental analysis was carried out on four benchmark data sets.The effectiveness of K-means clustering and imputation methods is verified on different data sets, and the results also have a certain application prospect.
ANALISIS KESALAHAN SINTAKSIS PADA KALIMAT “ADJECTIVE CLAUSE “ MAHASISWA SEMESTER V PROGRAM STUDI BAHASA INGGRIS STBA JIA BEKASI

Indonesian students often face difficulties when they have to write in English. Especially, they are asked to form standard and acceptable sentence structures. This study aims to describe the types of syntactic errors contained in the fifth semester student clause of the English study program, find the most dominant type of error and describe the factors that might be the cause of the error. Data was collected from the writing of semester V students of the English study program 2018-2019. This research uses descriptive analysis method. Data were analyzed by classifying errors using linguistic categories Language error category (West, 2008). The researcher used Corder ’s theory (1982) for searching the causes of syntactic errors made by the students. These theories ultimately strengthen the researcher's hypothesis that the cause of syntactic errors made by students is the interlingual factor namely the first language interference in the target language. Based on the findings, the most numerous and dominant errors are verbs (verb) not in accordance with the subject.
Методологическая функция информационной картины мира

The idea of the article is that modern computer science raises problems of a philosophical nature, which include issues related to the methodological function of the information world-view. Computer science uses the method of the information approach and methods of information modeling of the studied phenomena. The essence of the methodological function of the informational picture of the world is that in the study of any object, process or phenomenon in nature and society, information aspects are frst of all identifed and analyzed, which are most characteristic of them, determining their state and development.
AN ANALYSIS OF STUDENT' ABILITY IN WRITING RECOUNT TEXT AT TENTH GRADE OF MAN 2 MERANGIN

The most students of MAN 2 Merangin had difficulty in mastering writing recount texts, based on the observation during Magang III program. The difficulty is quite complicated.Many students do not understand how to write recount text correctly.The research subjects were Class X Mipa I consisting of 27 students and from the sample, there were only 20 students. In this reaseach the reaseacher using written examination in the direction of knew how is the students in writing ability, test was give using online way. There are 5 themes that the researcher gave to the student and the student choose the theme and writes the recount text. Researchers assessed the test with writing assessment aspects.known the students result was many variations, the high score was 77 with frequency 1 students and the lowest score was 40 with 1 student. The most of frequency was only 2 students with score 77.In adition, the researcher got the average was 62.8. many mistaken from vocabulary and grammar. The use of this study was to analyze the student ability in writing recount text in MAN 2 Merangin. The result was the students were still need to learn to writing more because their ability especially in writing and chose the right vocabulary and grammar were still low and grammar are still low. Based on the result that can see on the test that has already measuring. It is hoped that teachers can provide writing lessons not only in terms of material but also in terms of direct writing skills. It is hoped that students pay more attention to writing, so that their English will be better in the future, especially in terms of writing skills. It is hoped that other researchers can use recount text as an object to further develop their research.
Using Acoustic Information to Diagnose the Health of A Printer

We present a sound-based anomaly detection system to diagnose printer health. Also, we improve the model performance by using acoustic data augmentation. We first use the detector to extract the important acoustic information from the input printer sound. Second, we use principal component analysis to do feature extraction. Third, we feed the extracted features from the previous step into the two different anomaly detection models to evaluate the model performances. Finally, we go through the same system pipeline with different augmented training data to see whether or not acoustic data augmentation can improve the model performance.
The social behavior formation of master students in the process of their university studies

The article contains results of the factors analysis that form a social behavior of master students in the learning process and during training period at a higher educational institution. In the research was distinguished: the degree of information of students about the purpose of magistracy, their motivation for studying in the magistracy, the tendency to implement research activities, and the financial situation of students. The object of research is the bachelor’s degrees’ students of a third and fourth years of study and master students of a first and second year of study from eight regional state universities of Russia. The article also provides comparative data with the results of studies implemented earlier, in 2011, 2014, and 2016 years, by the authors from eight Russian universities. The results of the study enable us to identify problems concerning certain aspects of the functioning of the institute of magistracy in the system of Russian higher education institutions.
Informative Augmented Reality Based Products and Groceries Scanner

Augmented Reality (AR) are used in applications in retail to achieve the Industrial Revolution 4.0 and retailers can be penalised if they do not display and misplace the price of their products following by the Act of 723 as the shopper’s time will be wasted looking for the price with information about the products especially for the Myopic people to read the information. The mobile device Augmented Reality application were design and develop by using a combination of Unity software and Vuforia SDK engine that act as a product and groceries scanner for 15 products in 2 supermarket by displaying the prices and information of items in the android operating system. The augmented reality application will run by analyzing mobile device camera capturing the motion and display output from the verification and validation method. The AR camera’s performance of speed in capturing and recognizing the physical object in a split seconds and it will display the output information when it is in a distance range of 25 cm until 55 cm from the product. The development of the augmented reality application is to help myopic people while purchasing groceries and reduce the time for users when performing shopping activities and this has been approved by the myopic people as the AR application has been tested to 11 different users. In the future, the AR scanner application needs to be upgraded to the iOS operating system and added more output information functions for the users.
Programmed Cell Death Ligand 1 Pathologist Training in the Time of COVID-19: Our Experience using a Digital Solution

The COVID-19 pandemic presented numerous challenges to the continuity of programmed cell death ligand 1 (PD-L1) assay training events conducted by our organization. Under typical conditions, these training events are face-to-face affairs, where participants are trained to assay algorithms on glass slides during multi-headed scope sessions. Social distancing measures undertaken to slow pandemic spread necessitated the adaptation of our training methods to facilitate assay training and subsequent continuation of clinical trials. The present report details the creation and use of the Roche pathology training portal (PTP) that allowed for remote training to diagnostic assay algorithms. The PTP is a web-based system comprised of a learning management system (LMS) coupled to an image management system (IMS). Whole slide images (WSIs) were produced using a DP200 instrument (Roche, Pleasanton, CA) and these scan files were then uploaded to an IMS. Courses were created on the LMS using annotated WSIs that were shared with enrolled pathologists worldwide during assay training events. These courses culminated in assay certification examinations, where pathologists evaluated test-case WSIs and evaluated these cases within the LMS. Trainee submissions were analyzed for pass/fail status by comparing user data entries with consensus scores on these test-case WSIs. To date, 47 pathologist trainings have occurred and of these, 44 have successfully passed the associated assay certification exam on the first attempt (93% 1st-try pass rate). The PTP allowed roche to continue training sites during the COVID-19 pandemic, and these early results demonstrate the capability of this digital solution regarding PD-L1 diagnostic assay training events.
Abstract synthesis representation of nonlinear behaviour in coupled resonators

In this work, abstract synthesis techniques known as frequency/amplitude/phase modulation (FM, PM, and AM, respectively) are explored in musical acoustic systems involving coupled oscillators, nonlinear mechanical resonators and feedback. Though these systems are frequently modeled having acoustic/physical parameters (and units), there is a strong musical benefit of an abstract representation in which input parameters control more perceptual aspects of the produced sound. Previously coined “loopback FM" is an extension of the well known FM synthesis technique in which a carrier oscillator “loops back" to modulate its own frequency, resulting in behaviour that is characteristic of nonlinearities. With reference to loopback FM, along with its strongly related feedback PM/AM, nonlinearities that influence sounding frequency, spectral bandwidth and amplitude envelope are explored with musical instrument examples.
An Analysis on Video Steganography Techniques

Steganography is the approach of hiding the name of the game message inside the information supply. It now not handiest maintains the statistics as mystery however also the existence of the statistics is kept as secret. It is used in various fields which include protection, scientific and online transactions. It is mainly utilized in stable communique. In steganography, the message can be hidden in vendors consisting of textual content documents, snap shots, audios, and movies. The goal of this paper is to provide a trendy evaluate of numerous video steganography strategies. It covers associated works, the electricity of steganography, kinds of steganography and special video steganography techniques. The comparative evaluation of various video steganography techniques is also highlighted.