Reviewerly/exHarmony huggingface dataset:
Research on the Influencing Factors of the Transformation of Scientific and Technological Achievements in Universities—An Empirical Analysis of Universities in Sichuan Province

Speeding up university transformation of scientific and technological achievements is a new requirement put forward by the state in the new era. It is a key link for achieving close combination between science and technology and economy. By sorting out the literature related to university transformation of scientific and technological achievements from 2012 to 2017 on CNKI, we extracted 17 factors that affected university transformation of scientific and technological achievements and used questionnaires to investigate the university scientific research personnel in Sichuan Province. Factor analysis was used to identify five key factors affecting university transformation of scientific and technological achievements, and to provide countermeasures and suggestions for promoting the capitalization and industrialization of scientific and technological achievements in universities.
Boosted Convolutional Decision Trees for Translationally Invariant Pattern Recognition and Transfer Learning

Decision Tree (DT) models provide a well-known class of interpretable machine learning tools for diverse pattern recognition problems. However, applying DTs to learn floating features in images and categorical data based on their raw representation has been challenging. Convolutional Neural Networks (CNNs) are the current state-of-the-art method for classifying raw images, but have their own disadvantages, including that they are often difficult to interpret, have a large number of parameters and hyperparameters, require a fixed image size, and have only partial translational invariance directly built into its architecture. We propose a novel application of Convolutional Decision Trees (CDTs) and show that our approach is more interpretable and can learn higher quality convolutional filters compared to CNNs. CDTs have full translational invariance built into the architecture and can be trained and make predictions on variable-sized images. Using two independent test cases&amp;mdash;protein-DNA binding prediction, and hand-written digit classification&amp;mdash;we demonstrate that our GPU-enabled implementation of the Cross Entropy (CE) optimization method for training CDTs learns informative convolutional filters that can both facilitate accurate data classifications in a tree-like pattern and be used for transfer learning to improve CNNs themselves. These results motivate further studies on developing accurate and efficient tree-based models for pattern recognition and computer vision.
Origin and sandstone classification of the upper Cretaceous Lokoja sandstone in Southern Bida basin, as determined from geochemical data

This study was carried out with a view of using an innovative approach (strictly geochemical) in determining the origin of Sandstone Formation within the Southern Bida Basin. The Lokoja Formation (Sandstone) unconformably overlies the basement complex. It consist of sandstones, which crop out around Lokoja area between Felele and Koton-Karfi. Field observations show that lithology includes conglomerates at the base, with coarse-grained to fine-grained sandstones, siltstones and claystones overlying it. Analysis of the collected ten (10) outcrop samples from the study area aided in the deduction of geochemistry, classification and period of deposition of the sandstone facies of the Lokoja Formation. The geochemical analysis revealed the major oxides and the heavy minerals that are present in the samples. From the geochemical analysis of the samples at different locations revealing the major oxides, the percentage of SiO2 in the selected sample compared to the other oxides is very high.Al2O3, Fe2O3, CaO, MgO, MnO, P2O5, K2O, Na2O and SO3were all found to decrease as SiO2 increases. A major reason for this is clastic mixing. The low values observed from the result of ratio of SiO2/ Al2O3 indicate that the collected samples have a high degree of clayness, which can suggest mineralogical immaturity. Al2O3/ (CaO+MgO+Na2O+K2O) ratio has been reported useful in the determination of stability of mobile oxides. This was applied in this work, where positive values obtained (2.73 to 8.27)indicate the presence of stable mobile oxides in the Lokoja Formation sandstone facies.The Zircon Tourmaline Rutile (ZTR) Index for the selected samples range from 30% to 44% with an average of 38%. All the selected samples have Zircon –Tourmaline –Rutile maturity index less than 75% suggesting that nearly all the sediments are mineralogically immature to sub mature. The heavy minerals recovered from the selected samples of the Lokoja sandstone show that the origin of the collected samples from the basin is mainly sedimentary.KEYWORDS: Provenance, Bida Basin, Geochemical, Maturity, Stability, Clayness.
Discussion on Computer Network Security Solution

With the rapid development of the Internet, people’s dependence on computers has reached an unprecedented level. Both individuals and businesses use computers anywhere, anytime. Therefore, once the computer network is attacked by the outside world, it will cause the computer to fail to work properly or even cause embarrassment and bring about great losses [1]. Now that the world’s computers can be connected through the Internet, the issue of network security is internationalized, and the content of information security has also changed fundamentally. Therefore, computer network security issues are not just general defense issues, but even international security issues. This article will analyze the computer network security issues and propose solutions to computer network security issues.
The Design and the Construction of the Traditional Arabic Lexicons Corpus (The TAL-Corpus)

Arabic lexicography is a well-established and deep-rooted art of Arabic literature. Computational lexicography, invests computational and storage powers of modern computers, to accelerate long-term efforts in lexicographic projects. A collection of 23 machine-readable dictionaries, which are freely available on the web, were used to build the Corpus of Traditional Arabic lexicons (the TAL-Corpus). The purpose for constructing the TAL-Corpus is to collect and organize well-established and long traditions of traditional Arabic lexicons which can also be used to create new corpus-based Arabic dictionaries.&#x0D; &#x0D; The compilation of the TAL-Corpus followed standard design and development criteria that informed major decisions for corpus creation. The corpus building process involved extracting information from disparate formats and merging traditional Arabic lexicons. As a result, the TAL-Corpus contains more than 14 million words and over 2 million word types (different words).&amp;nbsp;&#x0D; &#x0D; The TAL-Copus was applied to create useful morphological database. This database was automatically constructed using a new algorithm which is informed by Arabic linguistics theory. The newly developed algorithm processed the text of the TAL-Corpus and as result it extracted 2 781 796 entries. These entries were stored in the morphological database where each represents a word-root pair (i.e. an Arabic word and its root).&#x0D; &#x0D; A comparative evaluation of the TAL-Corpus and other three Arabic corpora showed that the lexical diversity of its vocabulary scored higher. Moreover, its coverage was computed by comparing words and lemmas against their equivalents of other corpora where it scored about 67% when comparing words and 82% when comparing lemmas.
Predicting the Required Volume Need for Architectural Work Using Artificial Neural Networks in Hospital Buildings

Decision-making in construction design has an important role. The need for estimation tools of planning and project management aspects needs to develop. This paper discussed the benefits of artificial neural network methodology to overcome the problem of estimated the needs of the volume of wall paired, ceiling worked pairing, and ceramic floor pairing for architectural work at the designed stage of the building. The average architecture cost of state building is 29%-51% of total construction value. Data from 15 projects was used for being trained and tested by Artificial Neural Network (ANN) methods with 5 design input variables. The ANN helped to estimate the value of volume requirement on the architectural working of Pratama Hospital building project in remote areas of Indonesia. Those input variables include building area, average column span distance, the height of the building, the shape of the building, and a number of inpatient rooms. From ANN simulation, the best empirical equation of P2V5 modeling was used to predict the need of hospital architecture work volume at conceptual stage with best ANN structure 5-9-3 (5 input variables, 1 hidden layer with 9 neurons and 3 output) with result of estimation accuracy a maximum of 96.40% was reached.
Academic English Curriculum for Undergraduate Students: Backward Design

Adopting result-driven backward design, the study proposes a 3-step designing process for undergraduate academic English curriculum. Firstly, conceptualizing academic competence in the context of Chinese universities, the study suggests a 3-step teaching target: the development of academic language skills, critical thinking and self-regulating ability. Secondly, the paper sets assessment standards for different learning periods. Finally, the paper discusses the role of classroom teachers in the backward design.
Subseasonal to Decadal Predictions: Successes and Challenges

International Conferences on Subseasonal to Decadal Prediction; Boulder, Colorado, 17–21 September 2018
Optimization of video quality via fuzzy logic base adaptive media playout

&lt;span&gt;This paper addresses the issue of interruption of Virable Bit Rate (VBR) video streaming over IP network, due to channel quality fluctuation. Specifically, a Fuzzy Logic (FL) Control principle is fused with Adaptive Media Playout (AMP) control to estimate an appropriate playout frame rate, namely FLAMP. Based on the estimation of the playout frame rate, the FLAMP algorithm adjusts the consumption rate smoothly to avoid video stream degradation. Simulation results validate that the FLAMP scheme efficiently reduces the buffer outage probability and provides better visual quality where FLAMP gives 26.5% less ferquence of playout interruption, and 21.6% less variance of distortion of playout as compared to APTA.&lt;/span&gt;
Implementasi teknologi digital untuk meningkatkan kualitas sepatu pada Industri Kecil dan Menengah

One important aspect in shoe design is a matter of comfort, which is determined by dimensions and the shape of shoe last which is influenced by the design of the master shoe last. The use of 3D scanners, 3D printers, and CAD / CAM systems in the process of master shoe last design and production of shoe last can improve the quality of shoe products. However, the application of technology to the IKM implies the need to increase HR capabilities and substantial investment. This indicates the need for involvement of government and institutions / R &amp; D institutions or universities. Therefore, to improve the design of university competencies in mastering technology, curriculum needs to be designed that refers to the competence of designer work in accordance with the progress / development of digital technology in the process of design and production. Key words: industry 4.0, Small and Medium Industries, master shoe last, quality
Reviewing Diagnosis Solutions for Valid Product Configurations in the Automated Analysis of Feature Models

A Feature Model (FM) is an information model to represent commonalities and variabilities for all the products of a Software Product Line (SPL).The complexity and big size of real feature models makes their manual analysis for determining the product configurations validity a tedious or even infeasible task.Efficient solutions for the diagnosis of errors in the Automated Analysis of Feature Models (AAFM) already exist such as FMDiag and FlexDiag.Thus, this work describes the fundamental basis for both diagnosis algorithms to apply the first of them on the validity of FM product configurations.The results highlight the applicability and efficiency of FMDiag and invite us to look for additional applications of that algorithm in the AAFM scenarios.
Web-Arabic as Lingua Franca (WALF): Variation and Standard in Teaching Arabic as Foreign Language (TAFL)

One of the most interesting issues in second language teaching is how students should be exposed to language variation using methods based on the analysis and comparison of authentic texts. In this respect, research regarding the teaching of Arabic is relatively lacking. Moreover, in recent years Arabic has been changing rapidly, strongly influenced by the social networks. The most evident result of this is the emergence of Web-Arabic, which can be regarded as a lingua franca in online communication. Although characterized by a prevalent use of Standard Arabic, it is also marked by recourse to colloquialisms and dialectal features. The present study illustrates how a group of Italian teachers of Arabic participating in teacher education courses were introduced to the teaching of language variation through the analysis of Web-Arabic as Lingua Franca (WALF). The most significant preliminary findings are that WALF can provide an innovative tool in the teaching of variation in Arabic and provide stimulating considerations for new strategies.
WADASAN AS AN ARCHITECTURAL ELEMENT IN GUA SUNYARAGI WATER PARK, CIREBON

Abstract- Taman Air Gua Sunyaragi was established for The Sultan Cirebon and family to meditate and recreation. The purpose of this research is to know the use of Wadasan at Taman Air Gua Sunyaragi and its availability in Cirebon at this time. This research aims to maintain existence of Wadasan at Taman Air Gua Sunyaragi also existence of Wadasan in Cirebon.This research used three theories, theory of function from Schulz, theory of semiotic from Charles Jencks and atmosphere from Peter Zumthor. The method used is qualitative, comparative and descriptive with architectural approach (function) and material. Data collection was done by interview technique and direct observation in the study case.Architecture of Taman Air Gua Sunyaragi compared by Java-The Middle East-Chinese styles. Taman Air Gua Sunyaragi consists of elements, stone, brick, water and vegetation likes landscape of Chinese Water park. The sacred atmosphere within the complex is created by using Wadasan. Wadasan has an architectural function as a building envelope, circulation barrier and sculpture. Wadasan combined by water serves as temperature controller to reduce the ambient temperature. The stone used as Wadasan has a variety of types but has the same character. Some Wadasan’s materials is hard to find in Cirebon, but can be replaced with a race on the character Wadasan. Function of water park in Taman Air Gua Sunyaragi can’t run properly because of the loss of water element. Wadasan treatment at Taman Air Gua Sunyaragi is done by attaching the loose rocks and providing water with high pressure to remove moss. Key Words: Sunyaragi, Water Park, Wadasan, Character, Rocks
Top quark and electroweak physics

Measurements of top quark and electroweak processes are central in confronting the Standard Model in all corners of phase space and probing signs of physics beyond this successful, yet incomplete, model.These proceedings summarize the status of physics involving the top quark and electroweak sectors, ranging from precision measurements of production cross sections and Standard Model parameters, such as the weak mixing angle, to studies of rare processes, such as electroweak vector-boson scattering and four top quark production.Latest results are presented from the ATLAS, CMS, and LHCb experiments at the Large Hadron Collider, along with two new legacy measurements from the CDF/D0 experiments at the Tevatron.
PENERAPAN MODEL PENYEMBUHAN DENGAN REGRESI COX HAZARD PROPORSIONAL PADA PENYAKIT KANKER KOLOREKTAL

Survival analysis is a statistical technique used to analyze the data, aims to determine the variables that affect the outcome of a beginning to end the incident. One model of survival is a cure model is useful for estimating the proportion of patients who recover and the probability of survival of patients who did not recover until the deadline given. Analysis on Cox regression cure model Hazard Proportional with Maximum Likelihood Estimates and Algorithm Expectation Maximization (EM). Keywords: Cox Proportional Hazard Cure Model, MLE, EM algorithm, likelihood ratio test, Wald test.
Research on Smart Real Estate Using Internet of Things Technology

With the development of economy and the strengthening of market competition, real estate enterprises have to gain a place in the fierce market competition. The simple price war has no obvious advantage. The added value of real estate is quietly becoming the core of each developer's competition. This paper aims to explore the emergence and promotion of smart home and point out a new direction for the development of the real estate industry. It becomes a new development trend of real estate. What's more, the use of computer technology and Internet of Things has promoted the development of real estate industry in our country, it strengthened the core competitiveness of real estate enterprises, meanwhile it will further change the life way of residents and enhance the life quality of residents.
IMPLEMENTASI METODE DETEKSI TEPI CANNY PADA OBJEK SEBAGAI MODEL KEAMANAN APLIKASI PADA SMARTPHONE ANDROID

The development of technology push security system applications on android smartphone to develop one of its features that is detection of the object. The detection of Objects is a technology that allows us to identify or verify an object through a digital image by matching the texture of the object with the curve of the data objects stored in the database. For example, to match the curve of the face such as the nose, eyes and chin. There are several methods to support the work of object detection among which edge detection. Edge detection can represent the objects contained in the image of the shape and size as well as information about the texture of an object. the best method of edge detection is canny edge detection which has the minimum error rate compared with other edge detection methods. Canny edge detection will generate the image that has been processed into a new image. The new image will be stored on a database that will be matched to the image of a new object that is used as the opening applications on android smartphone.
Application of Oracle RAC Cluster Technology in Digital Campus

In the construction of digital campus, the integration of information resources and centralized data storage require higher availability and reliability of the database. Based on the analysis of the Oracle RAC architecture, this paper discusses how to build core database system of digital campus by using ORACLE RAC cluster technology. The digital campus of China University of Geosciences (Beijing) is taken as an example. After running test, the dual-machine database cluster mode shows stability and efficiency. It can meet the requirements of building an efficient and reliable digital campus data platform.
Using Learning Strategy of English for Young Learners to Create the Textbook of Gorontalo Language for Elementary School as an Effort to Maintain Gorontalo Cultures

Teaching Gorontalo language is one of the Gorontalo government efforts to maintain Gorontalo culture. It has been being taught in elementary schools for years and continuously becomes the government concern. In the previous research (Husain, Bay and Mamu, 2017), the result of questionnaire generally indicated that the textbook used in teaching Gorontalo language was not colorful and attractive and the content was too monotonous. Additionally, certain teachers did not even use any textbook to teach and just tried to browse material on the internet. This research intends to create a textbook that will be used for teaching Gorontalo language in elementary schools based on the syllabus produced in the first year of research. Syllabus and textbook are created by adapting English for Young Learners (EYL) learning strategy. The content focuses on traditional musical instruments, traditional songs, traditional games and traditional dances and is introduced simply and nicely to the students as in EYL learning strategy. The students will have two benefits; they can learn Gorontalo language and its cultures at the same time. The research applies the Research and Development Method (Sugiyono, 2014, p. 297) to create the textbook of Gorontalo language with five main steps namely (1) creating the textbook; (2) validating the textbook; (3) textbook trial in elementary school; (4) Evaluating the textbook; (5) producing the textbook. Textbook as the research output is expected to provide a new sight of Gorontalo language learning for both teachers and students by adjusting EYL learning strategy to sustain Gorontalo culture.
A Novel Appraoch for Comparing Third Party Web Analytical Tools for General Data Protection Regulation Policy

This study seeks to explore the potentials and limitations of using various Analytical approaches and tools like google analytics, statcounter and web log files to analyze the behavior of online users in the context of content based websites and how Eurpean Union user consent policy has affected this data collection.Using these analytical tools this study will focus on type and amount of data gathered by these tools.The findings are expected to demonstrate useful features of Google Analytics, log files and other visualization tools and extend our understanding of online users.This study will also focus on the design and development of online educational resources and websites for collegiate contexts.
Integrated visual security management for optimal condition explorations in resource-constrained systems

As more and more mobile video applications contain important and private video data, various video encryption techniques have been proposed to protect them. Many of those applications typically utilize the standard video compression while running on mobile platforms which have limited amount of resources. Therefore, we need to consider not only the protection but also the compression and the energy in the mobile video applications. Accordingly, the selective video encryption which protects partial data within the standard video compression has been challenging thanks to format compliance and low computational complexity. However, various parameters of the video compression and the video encryption result in different amount of visual security, compression efficiency, and energy efficiency. Further, it is difficult to find the one solution to maximize all those performance indices at once since there exist tradeoff relationships among them. Therefore, based on the tradeoff relationships, design space exploration should be required to find the interesting parameter set under the given requirements. For the efficient design space exploration, we propose the BEVS (bitrate and energy-bound visual security) to examine each Joint Video Compression and Encryption scheme in terms of the visual security, the compression efficiency, and the energy efficiency. Utilizing the proposed BEVS in our experimental design space, we achieve up to 36.7% visual security improvement under the empirical budgets.