Reviewerly/exHarmony huggingface dataset:
Diagnosis of key safety risk sources of long-distance water diversion engineering operation based on sub-constraint theory with constant weight

Due to the facts that there are more risks and difficulties in long-distance water diversion engineering operation, a comprehensive evaluation model of sub-constraint based on constant weight is established based on sub-constraint theory.In order to eliminate the individual differences in the experts' weights, analysis on the differences in experts' weights is implemented based on the correlation theory and induced ordered weighted averaging.In this way, the indicator weights are determined, and the safety risk comprehensive evaluation of long-distance water diversion project operation is realized.Meanwhile, the methods of reducing the indicator's contribution are used for diagnosing key risk sources.Finally, the Henan section of the Middle Route Project of South-to-North Water Diversion is taken as an example to verify the validity and applicability of the model.
Zachowanie różnorodności Sieci w archiwach Webu

The Web is characterized by an extraordinary diversity, both among its users, as well as its forms and content. In its thirty-year history it has become a very popular and important element of the modern world, which increases interest among researchers in various fields. Despite the fact that more and more information is being published on the Web, a large part of it is being turned into another or irretrievably lost. The remedy for this may be the Web Archive, developed since the mid-1990s, which allows the collection and maintenance of the Network's resources. The article discusses the extent to which the used methods, solutions and strategies will enable securing diversity occurring in the Web.
Telepathology and second opinion for cancer diagnosis in sub-Saharan French-speaking countries

Abstract Many healthcare disparities can be described to explain cancer prevalence differences between developed and developing countries. Telepathology, telemedicine declination consisting in the transmission of digital images from a classical optical microscope combined with a digital camera linked to a computer, could offer a healthcare solution by enabling efficient communication between physicians and reinforcing multidisciplinary approaches. This study evaluated a pilot telepathology project using the ‘i-Path’ platform in Sub-Saharan French-speaking countries. This is a descriptive retrospective study. This study was made in two steps: (1) quantitative description of the platform’s use by the pathologists group and (2) qualitative evaluation of the users’ perception of the pilot project. From October 2009 to March 2018, 226 cases were submitted; 86·3% of them (n = 195) were analyzable. More than 30 experts in surgical pathology of 12 different countries were involved in the network. The average turnaround-time was less than one day. The main highlighted obstacles were the lack of time to submit cases and internet connection problems. Discussions on i-Path lead to a useful second opinion for 67·7% (n = 132) of the cases. The major part of second opinion was in favor of lymphoma (32·6%). Regarding children, lymphoma represent half of the second opinion (50·7%). The inter-observers agreement between first interpretation and second opinion was κ = 0·36, and κ = 0·58 after excluding non-diagnosed cases at submission. Even if some improvements can be made, we concluded that the project was satisfying and workable and it could be extended to other applications. Key messages Dialogue between expert in multiple LMIC is feasible with telepathology network and, as 1st diagnosis assessment is not always sure, telepathology help for 2nd opinion. Centers’ use of the telepathology system are different but the discussion between experts still provide a 2nd opinion in favor of a precise diagnosis.
Development of Child Worksheets Based on the Story as Subtheme “My Body” to Improve Students' Speaking Abilities at Al-Ikhlas Early Childhood Education and Development (ECED) Medan Amplas

the aim of this research is to development of child worksheets based on the Story as Subtheme “My Body” to Improve Students' Speaking Abilities at Al-Ikhlas Early Childhood Education and Development (ECED) Medan Amplas. this research is included as a Developmental Research. In this study developed in the form of learning tools and instruments needed. This research was conducted at Al-Ikhlas Early Childhood Education and Development (ECED) Medan Amplas even semester in 2018/2019 academic year. Based on the results of the assessment of linguists at the first meeting, a score of 40 was obtained with a percentage of 71% and according to valid qualifications. in the second meeting the total score was 53 with a percentage of 95% or according to qualifications, it meant that Child Worksheet was based on a story that no longer needed revision.
SISTEM NAVIGASI MOBILE ROBOT DALAM RUANGAN BERBASIS AUTONOMOUS NAVIGATION

&lt;p&gt;&lt;em&gt;Autonomous navigation is absolutely necessary in mobile-robotic, which consists of four main components, namely: perception, localization, path-planning, and motion-control. Mobile robots create maps of space so that they can carry out commands to move from one place to another using the autonomous-navigation method. Map making using the Simultaneous-Localization-and-Mapping (SLAM) algorithm that processes data from the RGB-D camera sensor and bumper converted to laser-scan and point-cloud is used to obtain perception. While the wheel-encoder and gyroscope are used to obtain odometry data which is used to construct travel maps with the SLAM algorithm, gmapping and performing autonomous navigation. The system consists of three sub-systems, namely: sensors as inputs, single-board computers for processes, and actuators as movers. Autonomous-navigation is regulated through the navigation-stack using the Adaptive-Monte-Carlo-Localization (AMCL) algorithm for localization and global-planning, while the Dynamic-Window-Approach (DWA) algorithm with Robot-Operating-System-(ROS) for local -planning. The results of the test show the system can provide depth-data that is converted to laser-scan, bumper data, and odometry data to single-board-computer-based ROS so that mobile-controlled teleoperating robots from workstations can build 2-dimensional grid maps with total accuracy error rate of 0.987%. By using maps, data from sensors, and odometry the mobile-robot can perform autonomous-navigation consistently and be able to do path-replanning, avoid static obstacles and continue to do localization to reach the destination point.&lt;/em&gt;&lt;/p&gt;
Validitas Pengembangan Media Pembelajaran Blended Learning Berbasis Cloud Computing Tingkat Sekolah Menengah Atas Kota Padang

The purpose of this research was to create an E-Learning as learning media with the implementation of Blended learning models combined with Cloud computing. These products will be designed interactively, effectively, and efficiently in accordance with lesson courses on subjects in high school with online system. The research method used is Research and Development with the stages of development of 4D (Define, Design, Develop, Disseminate), in this research the product will be tested for feasibility by validity testing. Based on the results of the validity test conducted by system experts and content experts, it was found that this learning media can be categorized as feasible or valid to be used as a learning media in the Blended learning learning model in High School. The average percentage of the validity test results obtained was 90.6%, which belongs to the very valid category. From the results of the validity test, it can be concluded that Blended learning which combined with cloud computing as learning media is suitable for use in all subjects at the level of the High School at Padang.
PEMANFAATAN GPS SEBAGAI SARANA MENDAPATKAN PERTOLONGAN KETIKA DALAM KONDISI BAHAYA DENGAN ALGORITMA DIVIDE AND CONQUER UNTUK MENENTUKAN LOKASI TERDEKAT

The more rapid technology based android mobile devices that have been equipped with various types of sensors as a feature provided by the vendor to meet the needs of its smartphone users.Some of the sensors contained in the smartphone is Accelerometer, Gyroscope, Magnetometer, Light Sensor, Touch screen, GPS, WiFi, GSM Cell, NFC, Camera front, Camera back, and Proximity.Of the many sensors contained in the smartphone is one of the popular GPS is.Users who use apps that take advantage of GPS features on their smartphones can find out their position and can also find out where other users are connected to the app, such as the Google Map app.Appropriate use of GPS features that can know the position of the location of its users and other users.The GPS feature can be used in self-sustaining applications of crime by sending the user's position location under threat to other users who are nearby or may also send their location to the security authorities in order to quickly get help.In addition to GPS features, self-saving applications from this criminal act must also be accessible quickly.With the emergency button application, GPS can also be used as a means of obtaining help if under hazard conditions and also can prevent the occurrence of crime.It can also be interpreted that the development of technology was also able to participate in maintaining security in the world.
Penerapan Data Mining Metode Clustering Pada CV. Secom Infotech Menggunakan Algoritma K-Means

Grouping sales data at the Secom Infotech Computer Store is still done manually in Excel. How to group it takes time and allows data to be lost. Clustering is one of the data mining methods that are unsupervised and K-Means is a non-hierarchical clustering method that attempts to divide existing data into one or more groups. The K-Means clustering method can be applied to classify a sales data based on the type of item, type of customer, number of items. The data used is sales data in January-June 2018 as many as 30 data. The results of the tests were carried out using the RapidMiner application where the results contained 2 clusters, namely cluster 0 totaling 14 data and cluster 1 totaling 16 data. K-Means clustering method can be used for data processing using the concept of data mining in grouping data according to attributes.
Optimization of Halide Image Processing Schedules with Reinforcement Learning

Writing efficient image processing code is a very demanding task and much programming effort is put into porting existing code to new generations of hardware. Besides, the definition of what is an efficient code varies according to the desired optimization target, such as runtime, energy consumption or memory usage. We present a semi-automatic schedule generation system for the Halide DSL that uses a Reinforcement Learning agent to choose a set of scheduling options that optimizes the runtime of the resulting application. We compare our results to the state of the art implementations of three Halide pipelines and show that our agent is able to surpass hand-tuned code and Halide’s auto-scheduler on most scenarios for CPU and GPU architectures.
Language Testing in China: Past and Future

Based on the articles written by mainland Chinese scholars published in the most influential Chinese and international journals, the present article analyzed the language testing research, compared the tendencies of seven categories between 2000-2009 and 2010-2019, and put forward future research directions by referring to international hot topics. Of all the seven categories of research topics, validity, performance test and China&amp;rsquo;s Standards of English Language Ability were three most popular themes, while classroom assessment, technology, rater/test taker differences and professionalization were much less popular. Except for research on performance test and technology, the other five aspects showed an increase in the second decade, with that of China&amp;rsquo;s Standards of English Language Ability rising the most dramatically. Referring to international research trends, the research predicted that validity, classroom assessment, China&amp;rsquo;s Standards of English Language Ability and professionalization, especially the ethics and social justice, might be the promising research topics for language testers.
A Security Approach for File Management System using Data Encryption Standard (DES) algorithm

Security is very essential to avoid the unauthorized exposé or modification of the information.Due to the extraordinary changes in advance these days, various mixed media information is being produced and transmitted, hence, leaving our very own information defenseless against alteration and copying.Information being transmitted through a communication system can be ensured through cryptography.In an information processing environment, cryptography is executed through a process which uses a mystery key or an arrangement of bits.This paper established a security key management scheme that provides the support necessary to protect files or records between individual end users, and that also can be used to protect data stored or conveyed from one computer to another.It contains encryption and decryption process, each related with a key which should be stayed secret through Data Encryption Standard (DES).The authors employed System Development Life Cycle (SDLC), particularly on Rapid Application Development (RAD).This method involves initial data gathering, cost and requirements' analysis, and identification of the methods to be used in designing, testing, deploying and sustaining the system.Specifically, this paper used the block cipher approach as the main framework.The reliability of this system is measured using several tests done in the system.Experimental analysis includes testing in hardware and software components, system components, system units, and system integration and acceptance.The results showed that the performance of the system is in its best condition.There are four (4) parameters used in checking the complexity and time latency (CTL) in the DES algorithm.These were physical server, web server, network connectivity, and system.From each parameter, the system undergone three (3) phases of processes.Furthermore, questionnaires were floated to the respondents to assess the security system developed in terms of its usability, functionality, and reliability.The questionnaire was taken from an International Standard in evaluating system software called the ISO/IEC 25010:2011.The system was accomplished based from software tools like PHP, Apache, HTML, CSS and JavaScript for the system development and MySQL for its database.In the end, the researchers achieved high security through the implementation of DES algorithm.
Implementasi Algoritma K-Means Clustering dalam Menentukan Blok Tanaman Sawit Paling Produktif

PTP.Nusantara-IV (Persero) especially in the Marjandi Gardens located in Panombean Panei, Simalungun Regency is an Indonesian state-owned enterprise engaged in the plantation sector, one of which is Oil Palm. Among the many oil palm plantation blocks, there are productive and unproductive oil palm plant blocks. Unproductive blocks affect the profits of Marjandi Gardens in the production of Palm Oil. Therefore, it is necessary to conduct research to find out the most productive and unproductive blocks of Oil Palm Plants. This study was conducted in Afdeling III Marjandi Gardens with oil palm planting years 2005 and 2006. The method used was the K-Means Clustering method, the blocks were divided into 2 Clusters namely High Clusters for the most productive blocks and Low Clusters for unproductive blocks. Based on the research that has been done, the results obtained are the number of 14 blocks of the most productive oil palm plants, namely (BM, BN, BO, BP, BR, BY, CE, CF, CK, CY, DE, DF, DG) and 26 blocks of plants Oil palm is unproductive, namely (BL, BQ, BS, BW, BX, BZ, CA, CB, CD, CG, CL, CM, CN, CO, CP, CQ, CR, CS, CW, CX, DA, DB, DC, DD). It is expected that the company can develop the most productive oil palm block so that the quality of the oil palm plant blocks is always maintained. As for the unproductive oil palm plant blocks, the company can make repairs to produce a productive block of oil palm in the future.
A Three-Feature Model to Predict Colour Change Blindness

Change blindness is a striking shortcoming of our visual system which is exploited in the popular `Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes. Change blindness illustrates the fact that we see much less than we think we do. In this paper, we introduce a fully automated model to predict colour change blindness in cartoon images based on image complexity, change magnitude and observer experience. Using linear regression with only three parameters, the predictions of the proposed model correlate significantly with measured detection times. We also demonstrate the efficacy of the model to classify stimuli in terms of difficulty.
Educational Websites in the Work of Russian Elementary School Teachers

The fast development of communicational and informational technologies has led to the increase of active young internet users and over the last 3 years their number has more than doubled. Nowadays, comprehensive mass and general education activities are organized through teaching in the context of educational digitalization, with the purpose of providing equal opportunities for all learners. General education and communication through internet require relevant preparation in elementary school. The purpose of this study is twofold: firstly, to identify the characteristics of using educational websites in professional activity of elementary school teacher in the Russian Federation and secondly, to develop methodological recommendations on effective usage of educational websites. Research was carried out in the city of Kazan (Tatarstan, Russia). In this research we used query-diagnostic methods (surveys, interviews) that help to reveal particularities of applying educational web sites in teaching process of elementary school children in Russian Federation. Materials and results of research could be interesting for elementary school teachers, parents of schoolchildren and school administration.
Psychological and Pedagogical Support for High School Students’ Self-Reflection

Today it is essential to create conditions for reflective processes which facilitate self-realization among schoolchildren. Self-reflection is necessary for the development of high school students, since it is due to reflection that the attitude to oneself is revived, the need for self-change and self-development appear. The aim of the study was to identify and test the effectiveness of psychological and pedagogical support for reflection formation in high school students. Various theoretical and empirical methods of research were used; a psychological and pedagogical experiment was conducted by means of the following methods: "Self-Reflection and Insight Scale" (SRIS) developed by Grant, Franklin, & Langford (2002); Leontyev’s (2009) questionnaire "Differential Type of Reflection" (DTR) and Karpov’s (2003) questionnaire "Method of Reflexivity Diagnostics" (MRD). The article presents the results of experimental work on testing the effectiveness of the program to ensure the development of reflection among high school students. Experimental studies were carried out in secondary schools of the city of Kazan (Russian Federation). The results of the experimental study proved the effectiveness of psychological and pedagogical assistance in high school students’ self-reflection formation.
General Pedagogical ICT Competency as a Content-forming Factor in the Training of a New Teacher

At present teacher training takes place in the conditions of IT integration into educationa large-scale implementation of information and communication technologies (ICT) in the educational process at all levels.This makes topical the problem of forming general pedagogical ICT competency of students majoring in pedagogy, who will have to become teachers of a new type, which requires content and procedural restructuring of higher pedagogical education.The aim of the work is to reveal the potential of general pedagogical ICT competency, consisting of motivational, cognitive, technological, communication-network and reflexive-axiological components, as a content-forming factor in the training of new teachers at university.The research methods used to achieve the aim include theoretical analysis and modeling that have provided for the elaboration of a model to develop students' general pedagogical ICT competency in the process of higher pedagogical education.The resulting model is to be tested in the real education process subject to the proposed conditions.
Hierarchical Detection from Parking Lot to Vehicle in Large-Area Remote Sensing Images Based on Visual Saliency and Angle Estimation

Hierarchical detection from parking lot to vehicle based on visual saliency and angle estimation is proposed for the large-area remote sensing image (RSI). According to the brightness characteristics of parking lot, an accelerated bright-based saliency map (BBSM) is presented to locate the parking lot, which is also achieved by two-step location from rough to accurate. The suspected vehicle queues are then detected using the spectral residual saliency map and rotated to the horizontal direction by angle estimation of vehicle queue. Each vehicle in the suspected vehicle queues is identified by HOG features extraction and SVM classification. Using several RSIs at a spatial resolution of 0.5 meter with the size of 24000×24000 pixels, experimental results show that the proposed method outperforms two traditional methods and achieves the precision ratio of 87.1% and recall ratio of 90.2%.
Interactive Shared Book Reading with a Narrative and an Informational Book: The effect of genre on parent-child reading

Introduction: Previous studies indicate the dominance of narrative fiction in shared book reading. Theory and research suggests this may contribute to reading difficulties. Purpose of the Study: This study contrasted the impact of two genres on shared book reading based on factors known to maximize children’s literacy development. It also examined the participants’ perspectives regarding their interactive reading behaviors.Methods: Eight parent-child dyads, with children four- and five-years-old, read a non-narrative informational book and a narrative fictional book. The study controlled for the books’ reading levels, Rockets and Spaceships (Guided Reading K, Lexile 520) and A Penguin Pup for Pinkerton (Guided Reading K, Lexile 510). Results: Analysis showed that informational book features such as captions, predictable text, and a glossary supported interactive reading behaviors. Children engaged more with concrete, factual concepts, and answered and asked more questions with the informational book. Implications and Conclusions: Analysis showed that the non-narrative informational text encouraged more children's interactive reading behaviors known to develop emergent literacy skills. The informational text was more engaging for children because of 1) book features/characteristics, and 2) the information presented. Parents were generally unaware of the benefits of reading multiple genres to their children.
Pertti Saariluoma, José J. Cañas, and Jaana Leikas: Designing for Life: A Human Perspective on Technology Development [Book review]

Designing for Life offers a thorough background in advances in technology that have improved the human condition. The book details the history of technological development as well as recent advancements and their implications for the future. The authors want designers to think about human perception and experience as the foundation of design best practices, and they achieve this goal by including multiple citations to help designers and researchers follow up with additional reading.