Reviewerly/exHarmony huggingface dataset:
Accuracy of triple assessment as a clinical tool in detection of carcinoma breast

Background: One of the commonest clinical presentation of breast diseases is a lump. A definite diagnosis of any breast lump is very important to decide the course of treatment. The study evaluated that how effectively “triple assessment” helps in diagnosing carcinoma breast. Methods: The present study is a diagnostic study which was conducted on 50 patients. Each patient underwent a detailed history, CBE, mammography and FNAC. In this study the results of each examination were divided into three groups: benign, suspicious and malignant. The final result was compared with the HPE findings and diagnostic accuracy of triple assessment was assessed. Results: Total 86% of cases were found to be malignant on triple assessment and 14% cases were found out to be malignant later on histopathology. Among the malignant lesions, infiltrating ductal carcinoma had the lead 96%, followed by lobular carcinoma 1 case. Sensitivity, specificity, PPV, NPV for clinical breast examination was 97%, 100%, 66%, 100%. Sensitivity, specificity, PPV and NPV for imaging was 88.89%, 100%, 100%, 88.46%. Sensitivity, specificity, PPV for FNAC was found to be 87.76%, 100%, 100%.Conclusions: The TT was concordant in 43 cases (86%). Sensitivity of triple assessment was 95%, specificity was 100% and negative predictive value to be 100%. The TT was concordant in 43 cases (86%). In rest of the 7 lesion which were non-concordant 6 were suspicious of malignancy and 1 was probably benign entity which were later on proven to be malignant lesions by histopathology. Sensitivity of triple assessment was 95%, specificity was 100% and negative predictive value to be 100%.
Research on the Development Path of Kindergarten-based Curriculum With Liangshan Yi Culture

As the tradition and wisdom of Yi people, Liangshan Yi culture is an important resource for kindergartens in Liangshan Yi area to develop curriculum. This article analyzes the educational value and development principles of Liangshan Yi culture integrated into kindergarten curriculum, and proposes a kindergarten curriculum development path that integrates Liangshan Yi culture from five aspects: theme activities, regional activities, environmental creation, life activities, and resources outside the kindergarten.
Guides: Borrow and Request Materials: Borrowing for Non-UNCSA Patrons

Borrowing UNCSA materials, lending policies, and billing; Purchase Requests and Interlibrary Loan.
IMPLEMENTASI SISTEM INFORMASI PENGOLAHAN DATA PENDISTRIBUSIAN PUPUK

Abstract Distribution is an important part to considered in running a business either a big business or a small business. The process of distributing fertilizer to the CV. Agri Mandiri Sejati is currently not going well, because the data distribution process of fertilizer distribution is still using manual methods. Therefore, the authors conducted a study aimed at implementing an information system for distributing fertilizer distribution data on the CV. Agri Mandiri Sejati. The method that will be applied in this research is the method used in the system development process, better known as the waterfall. The results of the implementation of the fertilizer distribution information processing data system can  facilitate the process of recording employee data and fertilizer distribution data. Output in the form of reports generated from this information system can also provide more accurate information. Keywords: System, Information, distribution, fertilizer
THE DIFFICULTIES ENCOUNTERED BY NON-ENGLISH DEPARTMENT STUDENTS IN SPEAKING ENGLISH

ABSTRACT There are many definitions of speaking according to experts. Harmer (2007:284) states speaking is the ability to speak fluently and presupposes not only knowledge of language features, but also the ability to process information and language „on the spot‟ while quiantly (1990:7) defines speaking as the process of transmitting ideas and information orally in variety of situations. Nunan (in Kayi, 2006:1) defines speaking as the use of language quickly and confidently with few unnatural pauses, which is called as fluency. This study aims to identify problems regarding difficulties experienced by non-English students (public health) in communicating using English that is to identify the difficulties of non-English departments of students in speaking English and to find out the most difficult things in Speaking English by non-English students. This research uses quantitative descriptive methods. The number of samples in this study were 23 respondents. The respondents in this study were active students in semester 8 of public health, health policy administration class UNISKA MAB. Technique of data collection are giving questionnaires online by respondens. The results of data analysis based on respondents answers obtained as much as 81.8% showed that what caused them difficulty speaking in English was lack of confidence, respondents who could speak English verbally were 68.2%, while who could arrange English sentences with grammar were true 50%, ownership of vocabulary that is widely used to communicate in English 40.9%, who like English subjects 36.4%, besides who can say English vocabulary with correct pronunciation 31.8%, respondents understanding of interlocutors 22.7 %, motivation in learning English is 18.2% and the importance of learning English is only 4.5%. It can be concluded that the majorities of respondents have difficulties speaking in English. I hope with this research both lecturers and students can played an active role in improving the quality of learning English, so that it is more easily accepted and practiced in daily life.
The art of ebook cover design : An analysation of covers from Amazon kindle and a guideline to avoid the worst of them

Today’s society is becoming more digitalised. Moving traditional printing to screen is becoming the new normal. Since the selection of ebooks is becoming larger and larger the publishers and author ...
Performance limits of reservoir computers at the edge of chaos

Research shows that dynamic effects caused by approaching chaos sometimes degrade overall performance.
Car workshop.com system

Car Workshop.com System is a system that especially design to the customer to book their appointment date of servicing the car at anytime and anywhere. The common problem faced is customer need to be waiting for a long time just to follow the queue who arrive first will get their car to be service first. Thus, the objective of this project is to develop a web-based system especially for car workshop that also can be used by customer for example to book an appointment to service their car. Car Workshop.com System is develop by using C# programming language and the system is tests using User Acceptance Test in order to know whether the system meets with requirements that needed by the customer or not. The methodology used for this study is Rapid Application Development which more emphasizing the rapid development of the prototyping and user interface for a short time of delivering the system. RAD allow the early system to be integrate together and can get constant user feedback from the user. After the system is fully developed, testing is be done by using User Acceptance Test in order to know whether the system meets with user requirements or not and to detect the error or bugs so that it can be fixed before deliver the system to the external environment. The test is to ensure that the system already achieved the objective and all function work accordingly and also able to solve the problem statement. As the result, a web based system for the car workshop are developed that allow customer to book an appointment beforehand, calculate the overall estimation cost and more.
What are the mining requirements of cryptocurrencies

You might not be aware of the fact that cryptocurrencies let the existing individual earn thousands of dollars via mining. This is because the demand
Research on machine learning algorithm based on modal matrix of static scene

With system processing technology load is 32509.8 31850nf the main p.86Ka. The gn10-10T /9000 isolators to w5-110 data 661.35A, and layout requirements, the type SW4-110/1000 circuit breakers were selected and their rated technical data were: ,1000A, rated 75A,, 15142KAS, 163.86Ka. The gn10-10T /9000 isolators were selected to meet the requirements according to tho efficient corresponding to the useful static scene modal matrix, SIB4-NB: Intra - frequency of the neighboring Cell information TAU (Tracking Area Update) eDRX (Exe unit are reduced by one note, base analysis method. Conventional static scene modal matrix analysis is based on Fourier transform. Fourier analysis can be used in the full time domain where it is completed in the time domain or frequency domain. Fourier analysis has promoted a revolutionary revolution by proposing a series of new analytical theories of modal matrices for unstable static scenes for the analysis and processing of modch, the constraint conditions used by Euler integral function, fractional calculus and Mittag- Leffler function. The compound of the fractional derivatives of Riemann-Liouville and Caputo and Shukla function, where Shukla function is a four-parameter Mittagg-Leffler function, is proposed to determine the static scene modal matrix control machine learning algorithm b on the basis of the existing methods, a new method of stability monitoring based on finite element data analysis is proposed.
An empirical assessment of the predictive quality of internal product metrics to predict software maintainability in practice

Background. Maintainability of software products continues to be an area of im- portance and interest both for practice and research. The time used for maintenance usually exceeds 70% of the whole ...
Analisa Kepuasan Pengguna Game Multiplayer Online Battle Arena Mobile Legends dan Arena of Valor

The mobile game in the application in smartphone has many player in Balikpapan such as Multiplayer Online Battle Arena or MOBA the kind of this game are Arena of Valor and Mobile Legends. The genre is often to play is strategy games has played with team that the objective to destroy of enemy basecamp. Researchers do this study was to find out and analyze services to the satisfaction of playing moba games in Balikpapan using the PIECES Framework which consists of several points of analysis, namely : Performance, Informations and Data, Economics, Control and Security, Efficiency, and Service. The results research from indicate PIECES showed that the satisfaction of playing Moba game Arena of Valor and Mobile Legends have result research at the contented level to all the analysis points owned by Moba game Arena of Valor and Mobile Legends with an average of satisfaction value  3.94 in Mobile Legends and 4.16 in the Arena of Valor. The result could be the reason for the game player that adopted elements of gameplay from the genre of strategy games and choose which game is suitable for each individual to play according to his preference to be played
Αποτύπωση της προτίμησης καταναλωτών με τη χρήση μεθόδων ανάλυσης συναισθήματος σε κοινωνικά δίκτυα

The term sentiment analysis refers to the automatic detection and extraction of opinions, emotions and moods from text documents. The main objective of emotion analysis is to characterize the polarity of the text. That is, to what extent the opinion expressed in it is interpreted as positive, negative or neutral. Emotion analysis on social networks enables the study of their users' views, feelings and moods on a variety of topics with lower cost in time and money than the classic approach of the questionnaire or interview. This paper analyzes the feelings of users of the Twitter social network with machine learning techniques related to the Heineken brand. The study is done to English users.
Teststation för industriella UV-celler

GE Healthcare Bio-Sciences AB in Umea produce a variety of chromatography systems. One of the main components in chromatography is the UV module, which measure the light absorption of different wav ...
EdPuzzle is a powerful tool for a flipped classroom.

EdPuzzle is a popular application to work with if you are a fan of flipped classrooms. The main focus of EdPuzzle is using videos in the classroom. The good thing is that with EdPuzzle you can import any video. You can easily upload your videos to YouTube and then import them into EdPuzzle. Likewise, a teacher can assign creating a video to students, aiming to assess their understanding of the material covered, or instruct others.
Water Waste Detection and Activity Recognition at the Sink Towards Promoting Water Conservation

We propose a multi-modal sensing system to detect water waste and its associated activities aimed at increasing awareness of water-conserving behavior. The sensing device adopted in this study consists of a web camera, two infrared-distance sensors, and a water-flow sensor; the web camera plays a central role by utilizing optical flow to calculate the amount of water flow from a faucet. The detection and recognition rules are constructed heuristically. An experiment showed the feasibility of the proposed system under certain lighting conditions.
Effects of Teacher and Peer Mediation on Students’ Self-Efficacy Belief About Their Extensive Reading Practice: In Case of Asossa Preparatory School

This study investigated the EFL students' self-efficacy belief about extensive reading through mediated teaching reading mode.The study employed a quasi-experimental design.Two intact grade 11 classes were purposively selected and randomly assigned into experimental (N=30) and control (N=30) group.Five capable peers were selected from the experimental group along with their EFL teacher to serve as mediators while this was not done in the control group.Pre-intervention questionnaire and pre-test were administered to both groups to see if they had the same self-efficacy belief about extensive reading and the ability in reading.The groups were also given a post-intervention questionnaire and post reading test to determine the extent students become positive selfefficacious and their reading skill was improved.SPSS 20 was used to analyze the collected data.From independent sample test, pre-intervention questionnaire and pre-test results indicated that both group students held similar perceived self-efficacy belief about extensive reading and had similar ability in reading skills.Whereas the paired sample t-test proved that there was a significant mean score difference within the experimental group students, but there was no within the control group.The study concluded that the intervention positively changed the students' self-efficacy belief about extensive and improved their reading skill.It was recommended that EFL teacher need to play effective role in mediating students to raise their self-efficacy belief through extensive reading.Similarly, using more capable peers was an important measure in supporting peer learners.
Media Literacy Education for Society in Facing Media Content in the Digital Age

This study discusses the importance of media literacy education for the community, critical learning for the community about media content and selecting media content in obtaining effective and efficient information for the community. This research is a library research with a descriptive-qualitative approach. The method and analysis used is an inductive qualitative analysis. Inductive qualitative data analysis is an analysis based on the data obtained, then it is developed into an answer to the problems in this study, and the data is sought repeatedly so that the data collected can be known to be accepted or rejected. The results showed that media literacy education for the community is very important. Through media literacy education, it will affect the community both cognitively, affective and psychomotor, so that with this ability they are able to filter media content that is useless and not needed by them and ward off hoax news or sites. In understanding media literacy, society must also be critical in sorting, selecting, assessing and controlling the content of the media used. With critical learning, people are able to use the media wisely, ethically and responsibly with the media used. In addition, the public must also pay attention to strategies in creating messages or content in the media through message setting agendas, framing and semiotics. In selecting media content to obtain information effectively and efficiently, the public must be careful in utilizing the media. They must make the media a place to increase scientific insight, social transformation, and as entertainment. That way, the presence of the media has a positive effect on society to participate and make a constructive contribution to the mass media.
Are Scene Graphs Good Enough to Improve Image Captioning

Many top-performing image captioning models rely solely on object features computed with an object detection model to generate image descriptions. However, recent studies propose to directly use scene graphs to introduce information about object relations into captioning, hoping to better describe interactions between objects. In this work, we thoroughly investigate the use of scene graphs in image captioning. We empirically study whether using additional scene graph encoders can lead to better image descriptions and propose a conditional graph attention network (C-GAT), where the image captioning decoder state is used to condition the graph updates. Finally, we determine to what extent noise in the predicted scene graphs influence caption quality. Overall, we find no significant difference between models that use scene graph features and models that only use object detection features across different captioning metrics, which suggests that existing scene graph generation models are still too noisy to be useful in image captioning. Moreover, although the quality of predicted scene graphs is very low in general, when using high quality scene graphs we obtain gains of up to 3.3 CIDEr compared to a strong Bottom-Up Top-Down baseline.
A Cluster Analysis Approach for Rule Base Reduction.

In this paper we propose an iterative algorithm for fuzzy rule base simplification based on cluster analysis. The proposed approach uses a dissimilarity measure that allows to assign different importance to values and ambiguities of fuzzy terms in antecedent and consequent parts of fuzzy rules.
KLASIFIKASI SENTIMEN MASYARAKAT PENGGUNA TWITTER MENGGUNAKAN METODE NAÏVE BAYES PADA KASUS PEMERINTAHAN DAERAH

Twitter is a microblogging site that allows its users to write about various opinions, comments, and news that discuss current issues. Many users post their opinion on a product or service they use. It can be used as a source of data to assess sentiment on Twitter. One method of automatic emotional grouping can be used, one of which is using Naive Bayes. The purpose of this research is to build a system that is able to automatically classify the emotions of each tweet, and to determine the accuracy of the grouping. The process starts from preprocessing, there are several processes, namely tokenizing, stopword, stemming, word weighting, and normalization, which can then be processed using Naive Bayes. Naive Baye Process The creation of a sentiment analysis system using the Naive Bayes method has proven that the algorithm can analyze sentiments automatically, with an accuracy rate of 95%. The results of this visualization can be used by the Government to determine policies to be taken in the future. After that perform accuracy calculations using confusion matrix. Keywords: Tweet, Naive Bayes, government Maksimum
Private feasible solution determination

Applying secure multi-party computation (SMC) to implement secure linear programming is an important problem of SMC. Private feasible solution determination means that one of the participants has a private value and the other participants have some constraints, and they want to cooperatively determine whether the private value satisfies the constraints without disclosing their private information. This problem has important theoretical and practical significance in both scientific research and practice. In this study, the authors propose a protocol based on elliptic curve cryptosystem for this problem and prove that the protocol is secure in the semi-honest model. Furthermore, threshold decryption elliptic curve cryptosystem is used to privately determine a feasible solution with multiple constraints for two-party and multi-party scenarios. The efficiency analysis shows that the protocols developed in this study are simple and efficient. Finally, the authors also show how to use these protocols to solve other SMC problems.
An Unsupervised Approach for False Alarm Filtering in Rule-based NIDS

To detect malicious activities in a network, intrusion detection systems are used. Even though these solutions are widely deployed for this purpose they have one serious shortcoming which is the huge amount of false alarms that they are generating. Different measures are taken to tackle this problem such as manually changing the settings of the intrusion detection systems. However, this is an infeasible approach for organisations since a network is changing regularly and specialists that have good knowledge of both the environment and the solution are required. The existing unsupervised approaches cannot be implemented as fully automated solutions because of the need to tune hyper-parameters. Additionally,the implementation of the existing solutions is complicated since often multiple models and the constant updating thereof is required which is a computationally intensive process considering the selected algorithms. In this work, the possibilities to reduce the false alarms in an automated manner are investigated. This is done by applying unsupervised anomaly detection techniques on the resulting alert data to distinguish regular alarms from high priority ones. Real alert data is collected from a network of a large organisation and an additional synthetically generated data set is used to evaluate the proposed approach. Four unsupervised anomaly detection algorithms are chosen to model the regular alerts. These are Local Outlier Factor (LOF), Isolation Forest (IF), Histogram-based Outlier Score(HBOS) and Cluster-based Local Outlier Factor (CBLOF). We show that this approach can greatly reduce the false alarms in real environments. By adding noise to the data we evaluate the performance of the models and propose a method that can be used to determine when the model needs to be retrained. This is done by deriving a metric that is used to trigger the system to automatically retrain on the most recent historic data. This is necessary in order to make the system automated and adaptable to changes in the network.
The Impact of Software Team Project Measurements on Students' Performance in Software Engineering Education

It is essential to the software engineering instructors to monitor the students' performance in their course projects.Detecting key measures of software engineering project helps to get a better assessment for students' performance, resolve difficulties of low expectation-team's, and consequently improves the overall learning outcomes.Several studies attempted to present the important measures of software project but they only captured the early phases of the whole project time period.This paper introduces a hybrid approach of classification and feature selection techniques, which aims to comprehensively cover all phases of software development through investigating all product and process measures of software project.Experiments were conducted using five classifiers and two feature selection techniques.The results show the significant process and product measures for the software engineering team projects, which primarily improves the students' performance assessment.The performance prediction of our proposed assessment model outperforms prediction of the previous models.