Reviewerly/exHarmony huggingface dataset:
The Bridge is Broken, How will we Repair it? The Articulation of the Media and Teaching in Public Education Institutions

This qualitative research was carried out from the socio-critical paradigm with the approach of the Participatory Action Research (IAP), to point out the production of a propositional and transformative knowledge, which start from the reality of the school context, compare with the rethinking about Educommunication, in which students, teachers and parents of the public education institutions of Cartagena participate (IE). It seeks to reflect critically and reflexively about the problematic relationship between communication and education to begin to move through where the school and the media overlap. This research analyzed the perceptions that 1479 students had between 2017 and 2018 about their school and the environment around it that is generally difficult because causes such as drugs addictions, violence and other social problems. As well as the social, symbolic and imaginary representations that the students have and that are reinforced by the contents that they see through the different ways of communication. This research integrates and  articulates the work of educators, with social communicators, because it is based on the premise that the teaching of media in schools is a key element for the formation of students, but these workshops are not intended to impose ways of reading the media,  it pursues that student read other narratives of their environment and their links through the tecnopedagogy, so that they can achieve a re-signification of their context and make their role visible, other ways of being young and the relationship that they build with others in their educational space and environment.
Resources and Evaluations of Automated Chinese Error Diagnosis for Language Learners

Chinese as a foreign language (CFL) learners may, in their language production, generate inappropriate linguistic usages, including character-level confusions (or commonly known as spelling errors) and word-/sentence-/discourse-level grammatical errors. Chinese spelling errors frequently arise from confusions among multiple-character words that are phonologically and visually similar but semantically distinct. Chinese grammatical errors contain coarse-grained surface differences in terms of missing, redundant, incorrect selection, and word ordering error of linguistic components. Simultaneously, fine-grained error types further focus on representing linguistic morphology and syntax such as verb, noun, preposition, conjunction, adverb, and so on. Annotated learner corpora are important language resources to understand these error patterns and to help the development of error diagnosis systems. In this chapter, we describe two representative Chinese learner corpora: the HSK Dynamic Composition Corpus constructed by Beijing Language and Culture University and the TOCFL Learner Corpus built by National Taiwan Normal University. In addition, we introduce several evaluations based on both learner corpora designed for computer-assisted Chinese learning. One is a series of SIGHAN bakeoffs for Chinese spelling checkers. The other series are the NLPTEA workshop shared tasks for Chinese grammatical error identification. The purpose of this chapter is to summarize the resources and evaluations for better understanding the current research developments and challenges of automated Chinese error diagnosis for CFL learners.
PPM-HC: a Method for Helping Project Portfolio Management Based on Topic Hierarchy Learning

The projects categorisation is a crucial step in the project portfolio management (PPM). Categorising projects allows the organisation to identify categories with a lack or excess of projects, according to its strategic objectives. In this work, we present a new method for project portfolio management based on hierarchical clustering (PPM-HC) to organise the projects at several levels of abstraction. In the PPM-HC, similar projects are allocated to the same clusters and subclusters. PPM-HC automatically learns an understandable topic hierarchy from the project portfolio dataset, thereby facilitating the (human) task of exploring, analysing and prioritising the projects of the organisation. We also proposed a card sorting-based technique which allows the evaluation of the projects categorisation using an intuitive visual map. We carried out an experimental evaluation based on a benchmark dataset and we also presented a real-world case study. The results show that the proposed PPM-HC method is promising.
Using Technology to Communicate Science in Regional Languages: Experiences from Karnataka

With increasing penetration of the Internet into rural India, we now have a new opportunity to use it as an effective way of communicating science in regional languages. This paper proposes to discuss, in detail, the author’s learnings from over a decade of using the Internet for Science and Technology communication in the Kannada language. The author, through his blog Ejnana.com, has been communicating Science and Technology in Kannada since 2007. Newer channels such as Facebook, Twitter and WhatsApp have also been actively used to supplement this effort. Some of the content created has also been made available as ebooks in Kannada. In addition to the author’s efforts, this paper also provides an overview of similar efforts undertaken by other Kannada authors active in the same space. Collectively, all these efforts show us the vastness of the unserved/underserved audience group that exists for Science and Technology content in regional languages. Experiences discussed here also show that the general public is ready to positively receive Science and Technology content if provided to them in a form that is accessible, and at a level that can be easily comprehended.
Analisis Biaya Pendidikan dan Kondisi Sosial Ekonomi Orang Tua terhadap Keputusan Siswa Memilih Sekolah di SMP Negeri 1 Karangrejo Tahun Ajaran 2017/2018

&lt;p&gt;&lt;em&gt;Karangrejo 1 Public Middle School shows that there are problems in decision making carried out by prospective students to continue their education in Karangrejo 1 Middle School. This study aims to analyze: the partial and simultaneous influence of education costs on parents' socio- economic conditions on the decision of students to choose schools in Karangrejo 1 Public Middle School 2017/2018 academic year Descriptive method with a quantitative approach. The data analysis technique used is multiple linear regression analysis. Based on the results of the study show that: (1) there is a significant influence between the cost of education on the decisions of students choosing schools in Karangrejo 1 Public Middle School with a tcount of X1 Against Y worth tcount (3.693)&amp;gt; t table (1.987). (2) there is an influence there is a significant influence between the socio-economic conditions of parents on the decision of students to choose schools in Karangrejo 1 Public Middle School with a tcount of X1 Against Y worth tcount (3.352)&amp;gt; ttable (1.987). (3) there is an influence there is a significant influence between the cost of education and the socio-economic conditions of parents on the decision of students to choose schools in SMP 1 Karangrejo with a tcount of X1 Against Y worth tcount (3.352)&amp;gt; ttable (1.987).&lt;/em&gt;&lt;/p&gt;
Application of Information Engineering in Hospital Management

In order to realize cross-hospital data sharing and solve the problem of system interconnection, an information service platform was set up to build homogeneity of the core system, unify the basic standard, and recreate the business process, so as to achieve integration of multiple hospital systems. The system integration of thi information service platform realizes the interconnection and interworking of the systems of the two chambers. It facilitates the inter-hospital inspection appointment, bed appointment and inter-hospital transfer of patients, with strong scalability. This platform and technology application which has realized the system connectivity is reasonable. The hospitals of the same patient can share the medical information, improve the utilization rate of health resources and the patient’s clinic experience. It can further improve the utilization rate of hospital beds and efficiency of clinical work. The unification data for fine management advancement will also provide more data to support.
Segmentation of Carpal Bones Using Gradient Inverse Coefficient of Variation with Dynamic Programming Method

Segmentation of the carpal bones (CBs) especially for children above seven years old is a challenging task in computer vision mainly because of poor definitions of the bone contours and the occurrence of the partial overlapping of the bones. Although active contour methods are widely employed in image bone segmentation, they are sensitive to initialization and have limitation in segmenting overlapping objects. Thus, there is a need for a robust segmentation method for bone segmentation. This paper presents an automatic active boundary-based segmentation method, gradient inverse coefficient of variation, based on dynamic programming (DP-GICOV) method to segment carpal bones on radiographic images of children age 5 to 8 years old. A mapping procedure is designed based on a priori knowledge about the natural growth and the arrangement of carpal bones in human body. The accuracy of the DP-GICOV is compared qualitatively and quantitatively with the de-regularized level set (DRLS) and multi-scale gradient vector flow (MGVF) on a dataset of 20 images of carpal bones from University of Southern California. The presented method is capable to detect the bone boundaries fast and accurate. Results show that the DP-GICOV is highly accurate especially for overlapping bones, which is more than 85% in many cases, and it requires minimal user’s intervention. This method has produced a promised result in overcoming both issues faced by active contours method; initialization and overlapping objects.
Strategy Studies on Constructing Domestic Online Open Courses in the Era of “Internet +” Based on SWOT Quantitative Analysis Model

The advent of the "Internet +" era has greatly promoted the evolution of the learning society of Innovation 2.0. This article firstly uses the analogy analysis to introduce studies of online open courses at home and abroad in the era of "Internet +", and summarizes the developing trend of online open courses. Next, it uses SWOT analysis to construct SWOT model of online open courses construction in China's colleges and universities, and uses quantitative analysis to discuss the strategy of online open courses used in China. Finally, it summarizes and analyzes, and actively seeks new ideas for the development of online open courses in China.
5 signs of an email scam

Data breaches put personal information at risk and open both individuals and companies up to impersonation and infiltration. But could you spot a malicious scammer in your inbox?
Breast preservation and symmetrization using Weiss pattern in a giant phyllodes tumour

Background: Breast preservation is considered one of the main goals in breast cancer and big borderline lesion’s treatment. Both size and location determine a properbreast preservation with good cosmetic results.
Generation of entanglement in spin states of Rydberg Rb atoms by chirped optical pulses

Entangled states are crucial for modern quantum enabled technology which makes their creation key for future developments. In this paper, a robust quantum control methodology is presented to create entangled states of two typical classes, the W and the Greenberger-Horne-Zeilinger (GHZ). It was developed from the analysis of a chain of alkali atoms $^{87}Rb $ interaction with laser pulses, which lead to the two-photon transitions from the ground to the Rydberg states with a predetermined magnetic quantum number. The methodology is based on the mechanism of two-photon adiabatic passage using overlapping chirped pulses and interplaying the Rabi frequency, the one-photon detuning, and the strength of the Rydberg-Rydberg interactions.
Photon statistics without coincidence counting using an unbalanced beam-splitter

We have developed a new method to determine the photon statistics of a light source without the need for coincidence counting. Our method relies on using an asymmetric beam-splitter with intentional asymmetrical losses in a non-photon-number resolving detection system. We observe that the counts from one arm of the beam-splitter, when plotted as a function of the counts from the other arm, follow universal single-parameter curves that hint to the statistics of the photon source. We make a series of measurements on single photons detected from an attenuated laser source and show that the data clearly conforms to the universal curve established exclusively for coherent sources. We also show that the data cannot be fitted to the universal curve for thermal and photon-number sources.
Event Relation Identification Based on Dependency and Co-occurrence

Event relation identification is an important branch of event research. This paper proposes a new event relation identification method from the semantic point of view between events. Use the dependency between events and the co-occurrence of the event elements in the text, and then construct a set of semantic event clues. Then use the improved AP algorithm to cluster the event set with the related thread. Experimental results show that using the six semantic elements of events can more accurately calculate the dependency between candidate related events and the correlation between candidate related event elements, it could find more candidate related events and improve the recognition ability of event relations.
Microstructural changes in white and grey matter related to apathy, depression and anxiety in de novo Parkinson's disease patients

Wadi El-Deeb is a transboundary sharing basin between Egypt and Sudan. Wadi El-Deeb lies in arid belt where sporadic rain fall occurs in the form of local storms which occasionally accompanied by flash floods. Objective of this research is to assess and evaluate the potentials of both surface and groundwater resources in the study Wadi within the challenge of data scarcity. By utilizing the physiographic features of the study basin, it could be deduced that the hydrological behavior has influenced by the geomorphological and the topographical aspects. This study was based on the integral coordination among physical properties of the study basin, geo-informatics and Watershed Modeling System (WMS) to create the hydrograph of Wadi El-Deeb and its study sub-catchments. Flash flood hazard of the study sub-catchments which are located in Egypt have been evaluated and classified into low hazard group (sub-basin 2) and high hazard group (sub-basins 1, 3 and 4). The groundwater recharge potentiality may increase at the sub-basin 2 and the surface runoff will be expected for sub-basins 1, 3 and 4. Therefore; some obstruction dams should be created at the fourth and fifth order of the high hazard sub-basins. The maximum volume capacity of the whole Wadi El-Deeb is about 781.6 × 106 m3 which covered a flooded area is about 62 km2, while for the study sub-basins the maximum flooded area ranges from 0.3 km to 17.2 km2 and the volume capacity ranges from 1.5 × 106 m3 to 125.7 × 106 m3. On the other hand, the geoelectrical study and the data of the hand dug wells, revealed the presence of two water bearing formations of Wadi deposits and weathered basement rocks. The groundwater potentiality is limited and it can be used only for Bedouin, cheeps and camels drinking through small desalination units working with solar energy. The geophysical exploration results of shallow groundwater are matching with the constructed hazard degree map.
Text reader using convolutional Neural Networks

Vision loss may be a drawback that affects individuals all around the world. As pcs have gotten higher at understanding pictures because of advances in computer vision, the idea of a virtual assistant for the blind that would scan text1, identify/spot objects2, or maybe describe an entire scene in natural language3 is turning into more and more realistic. In this project, I created an Associate in Nursing robot application capable of reading aloud Network, text (e.g. product labels, price tags, text on clothing). the appliance uses a classifier trained exploitation the MS-COCO4 and COCO-Text5 datasets to seem for text and uses Google Cloud Vision to extract the text.
Big Data Privacy by Design Computation Platform

We live in the age of Big Data, and personal user data, in particular, is necessary for the operation and improvement of healthcare services. Many times, the capture and use of personal data are not made explicit to the users, but they are central to the business model of companies. However, each person’s right to privacy needs to be respected. With the goal of reconciling these two conflicting needs, we designed and implemented a proof-of-concept platform for performing privacy-preserving computations. In particular, we implemented privacy-preserving versions of Machine Learning algorithms, namely Decision Trees, k-Means, Logistic Regression, and Support Vector Machines, using Secure Multi-party Computations with Homomorphic Encryption and Garbled Circuits. For each combination of Machine Learning algorithms with Secure Multi-party Computation techniques, we present the reasoning behind our choices and their potential consequences in terms of performance. The ultimate goal is to provide Privacy-Preserving Computation as a Service. With this platform, we wish to contribute to the faster integration of solutions developed by the scientific community in enterprise systems, thus reducing the time required for innovation to reach products used by many people where privacy improvements are urgently needed.
Analysis of Task Scheduling in Hadoop MapReduce Framework

There are many open source platform availablefor storage and computation of big data, hadoop is one ofthem. Hadoop can be used for implementation of programmingmodel like MapReduce which is very efficient for processingthe shorter jobs with low response time. MapReduceframework, which is popular for computation of big datain parallel, distributed across the cluster. In our experimentwe are analyzing scheduling of each task in MapReduce[11]framework with the help of two applications Word count andgrep on FIFO (first in first out) scheduler, Fair scheduler andcapacity scheduler. The jobs are submitted simultaneously forexecution to analyze the task scheduling. We tried to variedthe workload as well as Map Tasks on each slaves to observethe effect on tasks scheduling. Experiment has been carriedout on text files of 1GB, 2GB and 5GB with variations inMap Tasks as 1, 2, 3, 4 and 5 on each slave nodes, beforeexecuting the jobs. In the execution, first we submit Grepfollowed by Word Count in all the above cases for differentworkloads with different Map Tasks. We observed that inFIFO scheduler jobs are submitted as per the policy firstin first out,the jobs that are submitted first will be executedfirst. In Fair scheduler and Capacity scheduler all the jobsare given the equal share of resources, means both the jobexecutes simultaneously. Observation of results can help us toconclude that in all the three schedulers i.e FIFO schedeuler,Fair schedeuler, and Capacity schedulers, FIFO schedulertakes more turnaround time for bigger data size where as itoutperforms for the shorter jobs. However, now a days muchmore big data applications are developed with MapReducemodel which requires low turnaround time for the larger jobsas well as for shorter jobs. As a result, it becomes necessaryto verify the performance of MapReduce, especially for largerjobs which is more popular now a days and which hasattracted more and more attentions from research, industryand academia.
KECERDASAN VISUAL SPASIAL DAN KEMANDIRIAN BELAJAR PADA HASIL BELAJAR MATA PELAJARAN GAMBAR TEKNIK DI SMK

Spatial Visual Intelligence and Independence Learning toward the Learning Result on the Subject of Technique Drawing in Vocational High School. Spatial visual intelligence has a significant influence on drawing techniques that are supported by student independence in the learning process. Furthermore, this study aims to determine the relationship of visual-spatial intelligence and learning independence to students’ learning result in the subject of Engineering Drawing. This research design was a correlation with a quantitative approach. The subjects of this study were 82 students of class X Machining Engineering in Turen’s Vocational High School. Data collection techniques were tests, questionnaires, and documentation. Data analysis used linier and multiple regression statistics. The results showed that visual-spatial intelligence and student learning independence were high in the subject of Engineering Drawing. Each variable had a relationship with and influence on student learning result. This was indicated by the high value of student learning result. So, it can be concluded that these variables simultaneously have a positive effect on learning result.
Fuzzy Logic Controller Implementation on Separately Excited DC-Motor

Various industrial and domestic applications such as automotive, aerospace,appliances and many others are electrically driven. Conventional methods of motor control had failed to produce desired performance of DC-motor due the system parameters variation and load changes. The Fuzzy-Logic-controller is one of the controllers that can handle non-linear system. This project is aimed to control the speed of a separately-excited DC-motor using fuzzy logic control. The system is simulated on MATLAB-Simulink and implemented on ARDUINO Uno development board.
rectification) IMPLEMENTATION AND PERFORMANCE OF AN OPTIMIZED DATA ANALYSIS USING SUPERVISED DATA MINING

Today, novel techniques for extracting potential and useful information from data are evolving such as the artificial intelligence, machine learning, and data mining. We present in this paper the principle of knowledge discovery in databases and data mining on a large scale of data, and also to know which method is effective between different supervised learning algorithms for classification and prediction, with their precondition optimization. Among these algorithms, which we call  tree bagger  steels precise and powerful, even though the dimension's reduction technique, an effective way to filter the data's relevance, used for a rapid and an unexpansive training from data or retraining from patterns.
Design of Traditional Chinese Medicine Health Cultivation Application Based on Android Platform

With the popularity of health cultivation in traditional Chinese medicine (TCM), to meet pursuit of TCM health cultivation, we have developed an Android-based Chinese medicine health cultivation application. The software realizes the functions of identification of TCM constitution, suggestion of TCM constitution health preservation, exercise health preservation and electronic mall of health cultivation products. The whole process of TCM health cultivation was completed. Achieve the goal of health cultivation at home.