Reviewerly/exHarmony huggingface dataset:
Retrieving Lab Test Related Questions from Social Q&A Sites by Combining Shallow Features and Deep Representations.

Patients face challenges in accurately interpreting their lab test results. To fulfill their knowledge gap, patients often turn to online resources, such as Community Question-Answering (CQA) sites, to seek meaningful information and support from their peers. Retrieving the most relevant information to patients' queries is important to help patients understand lab test results. However, few studies investigated the retrieval of lab test-related questions on CQA platforms. To address this research gap, we build and evaluate a system that automatically ranks questions about lab tests based on their similarity to a given question. The system is tested using diabetes-related questions collected from Yahoo! Answers' health section. Experimental results show that the regression-weighted combination of deep representations and shallow features was most effective in the Yahoo! Answers dataset. The proposed system can be extended to medical question retrieval, where questions contain a variety of lab tests.
An Intelligent Recommendation Method for Power Big Data Based on Knowledge Graph

With the development of smart grid, the continuous updating of power grid data texts has increased the redundancy of the database, which has led to difficulties of filtering and obtaining information. Therefore, an intelligent recommendation method for power grid data is proposed, which combines deep learning to mark entities based on existing knowledge bases and knowledge graphs, and then uses intent prediction matching algorithms to deeply mine user search intentions to realize accurate prediction of user search intent. The experimental results show that the model has a good prediction effect, a wide range of applications, and effectively improves work efficiency.
Transforming Learners’ Reading Skills in Primary Schools: Creating Sustainable Teaching and Learning Opportunities Through Technology

Research has shown that developing learners’ reading proficiency is one of the cornerstones in addressing the problem of illiteracy. It is however, a challenging task for teachers to determine the reading abilities of their learners before they could embark on the actual teaching process. This study reports on the assessment of learners’ reading proficiency in English of Grades 3-6 in some selected rural primary schools of Limpopo Province as a precursor for teaching reading. The study also report on the introduction of technology in the teaching of reading and its impact on learners’ performance. The study followed a descriptive cross-sectional design.  A total of 4235 (males N= 2118 and female N=2117) learners from 15 schools, who were part of the Barongwa Educational Resources (Non-Governmental Organisation Project) participated in the study.   Data was collected through a reading test adopted from the One Minute Reading Test Competency.  The test consisted of items that tested learners on spelling and the correct usage of words. Fifteen primary schools in Mankweng circuit were purposefully selected for this study. Schools were divided into the experimental ones (10) and non-experimental ones (5). Learners at all schools sat for the pre-intervention one minute test which tested them on their reading skills. The 10 experimental schools were then taken through the reading process in their classrooms for a period of one year as an intervention programme. The usage of technology as an intervention strategy in teaching reading skills was introduced in the ten experimental schools. All learners were then requested to sit for a post-test on reading proficiencies at the end of the academic year. Data was analysed using the SPSS. The results of the post-test indicated a significant improvement in learners reading proficiency (experimental schools), unlike the pre-test which indicated a low level of their proficiency in reading. This study recommends that the introduction of technology in transforming learners reading skills helps in preparing them for the 21st century learning demands and creates sustainable opportunities for them. Technology assist in making the reading content more relevant and enjoyable for learners.
TPACK 기반 테크놀로지 활용 STEAM 프로그램 개발 및 적용 효과 - 순환 기관을 중심으로 -

The purpose of this study is to develop a STEAM program using technological pedagogical and content knowledge (TPACK) model to effectively utilize technology to solve the difficulties in the teaching of ‘structure and function of our body’ unit in the primary science curriculum and to confirm the effect on the academic achievement, creative problem solving ability and scientific interests of elementary students. The program was developed as the STEAM program of the 8th class by utilizing the construction knowledge of the TPACK model. The developed program was applied to 29 experimental group students in 5th grade. And the textbook-oriented circulatory system learning program was applied to 29 5th graders in the same school. As a result of the application of the program, the experimental group showed significant improvement over the comparison group in its creative problem solving ability and scientific interests, and the satisfaction of the class was also high. This caused a positive effect on students because the process of self-directing information about the circulatory system using smart devices, making outputs creatively using 3D printers, and presenting them through role play using produced outputs.
Quantum Circuit Synthesis Using Projective Simulation

Quantum Computing has been evolving in the last years. Although nowadays quantum algorithms performance has shown superior to their classical counterparts, quantum decoherence and additional auxiliary qubits needed for error tolerance routines have been huge barriers for quantum algorithms efficient use. These restrictions lead us to search for ways to minimize algorithms costs, i.e the number of quantum logical gates and the depth of the circuit. For this, quantum circuit synthesis and quantum circuit optimization techniques are explored. We studied the viability of using Projective Simulation, a reinforcement learning technique, to tackle the problem of quantum circuit synthesis for noise quantum computers with limited number of qubits. The agent had the task of creating quantum circuits up to 5 qubits to generate GHZ states in the IBM Tenerife (IBM QX4) quantum processor. Our simulations demonstrated that the agent had a good performance but its capacity for learning new circuits decreased as the number of qubits increased.
The Role of Non-standard Tasks in the Teaching Mathematics of Primary School

Non-standard tasks are those for which there are no general rules and regulations in the course of mathematics, defining the exact program of their solution. Often, they are mixed up in methodology with problems of increased complexity. Tasks of increased complexity contain a condition, which helps students to identify the mathematical apparatus necessary to solve the problem in the elementary school. The teacher can, controls the process of consolidation of knowledge provided by the curriculum solution of problems of increased complexity. The solution of a non-standard problem requires students to conduct research.
Agent-MB-DivClues: Multi Agent Mean based Divisive Clustering

The conventional way of performing data search comprises of disadvantages specifically in environment induced and non-stationarity while performing advanced prediction. In this context we propose an agent based MBDivclues hierarchicalclustering method which is based on Multi Agent System (MAS) approach which enables us with decentralized control over the framework to attain the similarity among objects to structure various categorical attributes and measuring of relative distance among various numeric values by calculating the arithmetic mean which is assigned to the rootnode. In this paper we propose a novel divisive hierarchy that is based on the construction and implementation of a non-binary tree using multi agents. And to predict the forecasting error and be a step ahead In this approach we use a system of several adaptive forecasting agents, where the novel multi-agent forecasting system allows an agent to perform minimal training sequences and to attain accurate results to forecast by employing single prediction algorithm.
The Role and Financial Implications of Digital Pathology for the System Health

Public health system is under great pressure to cope with old and new threats which can have different causes. Progresses regarding methods of diagnosis and treatment options pushed the pathology filed to move forward. The aim of the present study is to analyze the impact on finances secondary to introduce digital analyses of whole slide imaging in the pathology laboratory workflow and the effect of digital pathology on health care system from the economical point of view. Digital pathology embraces the present and future economical traits providing a faster, better, efficient and accurate method for earlier depicting of different chronic medical conditions. Based on forecasted trends, anatomical pathology laboratories must do the effort to deployment a digital pathology system and must have an overview when considering the return on investment. In time, the revenues will be enough to consider digital pathology system a successful business model.
SECURITY ISSUES OF VARIOUS LAYERS OF LARGE SCALE DISTRIBUTED DATABASE

Cloud computing is viewed as one of the most promising technologies in computing today. This is a new concept of large-scale distributed computing. It provides an open platform for every user on a pay-per-use basis. Cloud computing provides a number of interfaces and APIs to interact with the services provided to users. With the development of web services distributed applications, Security of data is another important subject in various layers of distributed computing. In this study, the security of data that can be used during the access of the distributed environment over various layers will be described.
Novel Industry-University Engineering Education Cooperation Practice: Open Summer School 2018 co-organized by SEU, Xilinx, and ICisC

Partnerships between universities and industry can help provide engineering students with education, hands-on experiences, and skills needed to become successful professionals.This paper describes a summer school offered as an alternative to an internship for undergraduate and graduate engineering students as part of a university-industry-government collaboration in China.Many Chinese colleges and universities are still troubled by the lack of effective internship resources, lack of opportunities to study new technologies directly from industry, and the poor continuity of university-industry cooperation projects.This paper describes the first offering of an open FPGA summer school led by Southeast University, Xilinx, and ICisC, a government based
The Effect of Educational Technology on Cadets’ Academic Performance in a Military University

In this era of rapid technological advancement, Educational Technology (ET) can be utilized to improve the academic performance of students. It is therefore necessary to consider the individual and salient factors that play an important role in the use of ET with regard to academic performance. This study proposes a model to determine the effect of ET on cadets’ academic performance in Nigerian Defense Academy (NDA), Kaduna, Nigeria. The study employs the survey method, choosing 120 cadets randomly from the five faculties at NDA. A questionnaire containing 32 questions was administered. The hypotheses were tested using the Pearson product moment correlation coefficient in SPSS statistics. The result shows that there was a positive effect of performance expectancy, effort expectancy, behavioral intention, teaching effectiveness and actual usage on academic performance. However, facilitating conditions and social influence had no significant effect on academic performance. The proposed model fits moderately at 42.9%. However, the findings demonstrate some challenges facing the cadets in using ET, which included insufficient ET tools, inability to access internet facilities and lack of sufficient time to use the available technology due to the hectic military training. The study recommends that NDA should invest more in providing and maintaining ET. Lecturers should be more acquainted with the use of ET, gives its positive impact on academic performance.
Recent Development and Studies: The Consciousness’ Forming by Fractal Education and the Problem of Divinity

The paper analyzes the measure and the ways in which an individual or group consciousness can reach a ‘grace level’ (‚haric’ level) close to the maximum possible, considered of the Divinity. A first conclusion of the analysis is that the fractal, networked education, obtained from simple to complex and from an individual to a larger groups of (of group) consciences, within which the learning of an individual superior consciousness, in particular - teacher, professor, is transmitted to those spiritually guided by transmitting not only of his teaching but also of his attitude towards the transmitted teaching and the strategy of using it in society and the formation of individual and fractal consciences of haric level - understood as the highest value level of the psycho-social Good, requires a strategy of using the obtained orthodox-scientific teaching, based on completing the fundamental principles of the orthodoxy: purification, enlightenment, union with the Divinity, fight against evil, with the scientific principle of orthodox reciprocity. Another conclusion is that the possibility of the existence of a divine haric meta-consciousness, understood in the sense of haric spiritual leader of several haric super-consciences which are spiritual leaders of a significant number of superior consciences relative to the average level, exceeds the capacity of a single psycho-bio-social entity, resulting that a God with super-normal powers, capable of restoring the Good of the orthodox-scientific type in worldwide, can exist more as a judicial entity than as a single physical and spiritual entity, so- as a Divine Organization, more realistic and scientific being the concept of Godness, which must be both judicial and executive, based on scientific orthodoxy, which includes the principle of orthodox reciprocity. It results also that the possibility of spiritual leadership of the mankind by the Godness supposes energo-informational action with advanced technical means, such as telepathic amplifiers, which could also explain the transmission of the Holy Spirit and some reported paranormal manifestations such as the cases of "intelligent ghosts". It results also that the Godness may be recused by the scientific orthodoxism and the principles of the Providence must be modified in the form: orthodox-scientific cooperation with the Creation; orthodox-scientific leadership of the Creation and orthodox-scientific preservation of the Creation.
Factual foreground segregation and gradient based bias correction in brain MR images

The bias field is an inadmissible image glitch that evolved during the procedure of image acquisition. N3 (Non parametric Non uniform intensity Normalization) is one of the prominent and publicly available bias correction algorithms. N3 algorithm’s efficiency is limited by the imprecise foreground segregation. To handle this dilemma this paper is proposing a technique by comprising kernel construction and gradient based bias correction, which efficiently extracts the foreground from the bias corrupted image and erodes the present bias. The dataset used here are collected from BrainWeb website. The performance indicators Coefficient of Variation for white, grey matter and Coefficient of Joint Variation are used in disclosing the conclusion in quantitative aspect.
Digital Sign Enabled Secure Scalable Private Cloud for Data Storage: A Survey

Cloud Computing is now a worldwide concept which is being utilized by majority of internet users. The number of institutions, companies and other personal users relying on the resources provided by the cloud and as well storing the critical information in the cloud has increased drastically over the years due to the simplistic and attractive features it possesses. One of the main challenging issues that needs to be tackled in the cloud computing is the security of data stored in the service providers’ site. When storing data on cloud, one might want to make sure if the data is correctly stored and can be retrieved later. As the amount of data stored by the cloud for a client can be enormous, it is impractical OR might also be very costly to retrieve all the data, just to make sure that it is stored correctly. Hence there is a need to provide such guarantees to a client. Hence, it is very important for both the cloud provider and the user to have mutual trust such that the cloud provider can be assured that the user is not some malicious hacker and the user can be assured of data consistency, data storage and the instance he/she is running is not malicious. In this paper, thorough study and analysis is done on some of the research papers that has been written and published in this field. This paper presents literature survey on variety of approaches for implementing data security in cloud computing. The proposed system gives the concept of digital signature to maintain the trust worthiness.
FUZZY ALGORITHM FOR ADAPTIVE IMAGE CONTRAST INCREASING НЕЧЕТКИЙ АЛГОРИТМ АДАПТИВНОГО ПОВЫШЕНИЯ КОНТРАСТОВ ИЗОБРАЖЕНИЙ

A fuzzy algorithm for adaptive enhancement of image contrasts is considered, which is a characteristic of how wide the spread of the colors of image pixels is. The greater the spread of the pixel color values, the greater the contrast of the image. The main disadvantages of images, in most cases, are distorted brightness characteristics and low contrast. Therefore, the work is devoted to improving the contrasts of the image and converting the image to this form, which makes them more contrasting and, accordingly, more informative.
Aktualisasi Keterampilan Berbicara Melalui Metode Tebak Kata dalam Pembelajaran Bahasa Indonesia pada Siswa Kelas II di SDI Sabilil Huda

The purpose of this research is to improve the breeding ability of grade II students of SDI Sabilil Huda Bukaan. This type of research is class action research (PTK) conducted in two cycles. Each cycle consists of stages of planning, action, observation, and reflection. The subjects in this study were grade II students of SDI Sabilil Huda as many as 23 children. data collection methods conducted by researchers are observations, tests, interviews, and documentation. The result of the study is that the Actualization of Guess the Word Method has increased. The conclusion in this study is that it has improved this can be seen from the students' learning outcomes at pre-cycle 70.91, in the cycle, I experienced an average increase of 78.52, in cycle II experienced an average increase of 86.13. Pre-cycle completion, cycle I, cycle II increased in a row from 26.07% increased to 69.91% increased again to 100%. As well as the observations of teachers and students have been carried out well.
WEB USAGE MINING USING FP GROWTH ALGORITHM: E-LEARNING PORTAL

Web usage mining is the part of web mining. The information is collected as result in horrendously huge data in web. The information is gathered by the quantity of guests in the internet searcher. Utilization information catches the personality or root of Web clients alongside their perusing conduct at a Website. Web use mining itself can be arranged further contingent upon the sort of utilization information considered. They are web worker information, application worker information and application level information. Web worker information compare to the client logs that are gathered at Web worker. A portion of the run of the mill information gathered at a Web worker incorporate IP addresses, page references, and access season of the clients and is the principle contribution to the current explores. E- Learning is one of the Web based application where it will look with huge measure of information. To create the E-Learning entrance utilization examples and client practices, this paper executes the elevated level cycle of Web Usage mining utilizing essential Association Rules calculation known as FP development Algorithm.
An Adaptive Tracking for Moving Targets in Shadows and poor Illuminations

Tracking is an interesting area of research. It has to meet several challenges in real-time. There is a more noteworthy possibility of missing the objective. Again the target may be single or multiple. Each one is having its speed. The biggest obstacle is when the target meets the shadow of some object or itself, the intensity of the target changes severely. This results in missing the target. In this proposed paper, an adaptive algorithm using the Difference method with normalized values indexed with Vegetation parameters (NDVI) is utilized to differentiate the target from shadows followed by tracking the desired object which may be moving at different speeds by an improved optical flow algorithm. Thus, this proposed method aims to follow the object along with challenging illuminations and in the presence of shadows. This is particularly useful to follow the objects successfully on both internal and out-of-doors scenes in shadows. Examination and comparison of various videos in MAT Lab with standard data set indicate that this method yields a better tracking result with state of art methods
Study Of Phishing Attack

The extensive use of internet has positive as well as negative sides to it. Cyber-attacks have become very popular these days as everything has gone online. Cyber-attack is an attack made by cyber-criminals on internet users. Cyber-attacks consist of a number of attacks like denial-of-service attacks, ransomware, MITM, phishing, etc. Phishing consists of the hacker pretending to be someone who he is not and trying to gather personal information and credentials from potential victims. Phishing is venerable, but increasingly sophisticated form of cyber-attacks. With general precautionary measures these attacks can also be prevented.
Estresse Percebido e Autocuidado entre Pessoas com Diabetes e Doenças Cardiovasculares

Type 2 Diabetes Mellitus (DM2) corresponds to 90-95% of all cases of DM and has a multifactorial etiology, involving genetic inheritance and environmental factors such as: diet, physical inactivity, obesity, and advanced age. People with DM2 need specific care, continuous self-care, and control of perceived stress. This study aimed to identify the perceived stress and self-care activities of patients associated with socio-demographic, clinical, and lifestyle variables. This cross-sectional, prospective, quantitative study was conducted to understand the perceived stress and self-care of DM2 patients, admitted to a Cardiovascular Hospital in Sao Jose do Rio Preto, SP, using two questionnaires and a scale. It was found that most patients were elderly, cardiopathic, hypertensive, did not practice physical activity, did not follow a diet, among other aspects. The perceived stress level represented an average score of 26.4 points, that is, less than half of the total value, suggesting a low perception of stress in the sample. Regarding the self-care domain, it was generally found to be low, as patients did not perform self-care activities on at least six days a week. The only domains performed were specific diet on average 5.2 days a week and medication use on average 4.7 days a week. It is concluded that the present study offers information for planning the treatment of patients with DM2, obtaining the best glycemic control, suggesting educational interventions or methodologies, and promoting improved adherence to self-care activities and reducing stress that influence the health outcomes of these patients.