Reviewerly/exHarmony huggingface dataset:
R&D, FDI, and Innovation: Examination of the Patent Applications in the OECD Countries

This paper analyzes the effect of research and development expenditure (R&D) on innovation in the Organization for Economic Cooperation and Development (OECD) member countries over the period 1996-2015. Innovation, the dependent variable, is measured using two different proxies: patent applications by residents (PAR) and the patent applications by non-residents (PANR) in the host countries. R&D is the main variable of interest which is also interacted with foreign direct investment (FDI) to see how the entry of foreign competitors influence the role of R&D on innovation in the host country. The findings show that R&D alone promotes innovation by residents but impedes innovation by non-residents. However, when FDI interacts with the R&D in the host country, it produces opposite results. Specifically, increasing FDI in the presence of a certain level of R&D in host countries impacts PAR negatively and the PANR positively. These results have important policy implications.
SEMANTIC NESTED SEARCH ENGINE VIA INTEGRATION ONTOLOGY WITH MULTI-AGENT SYSTEM

Global and private search engines retrieve a huge amount of information within thousands of web pages. That is based on user’s search criteria. Nevertheless, it is a challenge to analyze all the information retrieved to match her/his required information. Solving this challenge needs to combine information retrieval systems (IR) with text mining and artificial intelligent approaches. This paper proposes enhanced search engines to be semantic nested search which can be used in business domain. This is via integrating Ontology, Multi-agent technology, and human computer interaction (HCI) concepts. Where Ontology provides a semantic view for understanding the pages contents then Multi-agent collects synchronously the selected information from each link. The proposed semantic nested search engine (SNS) have three phases and use four agents. The SNS engine will be applied on three case studies; jobs search, ecommerce products search and the scientific conferences search. We use different accuracy measurement such as relevant results, recall, precision and F-score. Also, we compare the proposed SNS engine with Google, Yahoo and Bing general search engines. The proposed system consume time. But the run time is not bad relative to the manual searching time inside the links, i.e. overall, the proposed SNS saves users’ time and effort.
Mobile Robot Path-Planning Using Oppositional-Based Improved Firefly Algorithm Under Cluttered Environment

Path-planning is a very important primitive for the control and navigation of the autonomous mobile robots in which the robot has to find out the best path from the source to the destination. But by using traditional methods it is very tough to find out the best solution because of the involvement of complex calculations. Firefly algorithm (FA) is a path-planning algorithm which is motivated by the flashing behavior of the fireflies and is very effective in solving optimization problems. The proposed methodology gives more efficient arrangements with diminished time complexity in contrast with general FA. The improved dimensional-based methodology is utilized in which the situation of every firefly is refreshed along with various measurements. For local search it is efficient, but sometimes because of loss in diversity in the population, FA may be trapped in local optima in case of global search. So to increase the performance of the firefly algorithm, we are combining it with the oppositional-based learning approach and designed oppositional improved firefly algorithm (OIFA). In this approach along with the candidate solution, the corresponding opposite solution is also taken into consideration because the opposite solution gives a better solution many at the times. From the outcome of the simulated results, it is observed that our proposed approach is more effective than the conventional firefly algorithm.
Personalizing motivational strategies

Design for behaviour change (BC) has the potential to motivate older adults to increase their physical activity and enjoy the health benefits hereof. Despite this potential, there is a lack of knowledge about how to profile users, to most effectively personalize strategies, which is detrimental to the overall effectiveness of these BC solutions. Thus we conducted a random control trial in which the effects of two BC strategies, implemented in two otherwise similar mobile applications, are compared. From the statistical analysis of the measured step data and the collected survey data, we were able to create motivation profiles for BC by triangulating an individual’s contextual, behavioural and psychological factors. Here we share an overview of our approach. In this way we aim to inform designers doing important work in the field of BC toward increased physical activity.
The SPLICE Institute

January 01 2019 The SPLICE Institute The SPLICE Institute. Seth Rozanoff Seth Rozanoff Amsterdam, The Netherlands Search for other works by this author on: This Site Google Scholar Author and Article Information Seth Rozanoff Amsterdam, The Netherlands Online Issn: 1531-5169 Print Issn: 0148-9267 © 2019 Massachusetts Institute of Technology.2019Massachusetts Institute of Technology Computer Music Journal (2019) 43 (1): 79–87. https://doi.org/10.1162/comj_r_00502 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Seth Rozanoff; The SPLICE Institute. Computer Music Journal 2019; 43 (1): 79–87. doi: https://doi.org/10.1162/comj_r_00502 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsComputer Music Journal Search Advanced Search This content is only available as a PDF. © 2019 Massachusetts Institute of Technology.2019Massachusetts Institute of Technology Article PDF first page preview Close Modal You do not currently have access to this content.
The Effect of Teaching Methods Using the Smart Phone on the German Language Proficiency Test

The purpose of this study is to examine what linguistic and non-linguistic factors affect the short-term passing of specialized high school students aiming to pass the German qualification test telc A2 and B1. In the results of this study, first, task-based teaching-learning using smart-phones greatly affected improvement of learners speaking skills. Second, to pass the German Language Proficiency Test telc A2 and B1 in a short period of time, when the so-called teaching-learning method customized for the exam type was applied, in the telc A2 level, speaking and writing scores were found to be high, while In the telc B1 level, the speaking score was the highest but the writing score was the lowest. The reason for these results is that the evaluation unit at the A2 level is a sentence but the evaluation unit at the B1 level is the text. In other words, it can be seen that writing ability at the B1 level require sufficient practice to produce the text using grammar that fits the scale. Third, for subjects with confirmed employment in Germany only when obtaining a German proficiency certificate, instrumental motivation was found to have a greater effect than integrated motivation. Lastly, among the defining factors affecting L2, in addition to instrumental motivation, intimacy between instructors and learners was found to have a greater effect than internal motivation, integrated motivation, and external motivation. Therefore, it shows how important the intimacy between instructors and learners is in L2 learning.
English Students Association (ESA) for Developing The English Skills of English Education Department Students in STAIN KUDUS

&lt;span&gt;This study aims &lt;/span&gt;&lt;span&gt;to identify the role of &lt;/span&gt;&lt;span&gt;English Students Association (ESA) in developing English Skills of English Education Department (EED) students, identify the factors influencing the students to develop their English Skills in ESA and find the solution for the problems. &lt;span&gt;This descriptive qualitative study was conducted &lt;/span&gt;&lt;span&gt;in STAIN Kudus, especially focus on ESA programs or activities. The participants of this research were the students of EED STAIN Kudus who join ESA. The data were collected through observation, interview, and documentation analysis. &lt;/span&gt;There were three results. First, t&lt;/span&gt;&lt;span&gt;he role of &lt;/span&gt;&lt;span&gt;ESA in developing English skills of EED students is important and very big, especially for improving their speaking skills (listening, speaking, reading, and writing). Second, there are internal and external factors influencing the EED students to develop their English Skills in ESA. The internal factors are students’ self motivation and character.&lt;span&gt; &lt;/span&gt;And the external factors are environment (class or other friends’ condition/influence), syllabus/lesson plan, materials/programs, teaching technique/strategy, level of regulation, and several agenda/programs in the same time. And third, solutions for the problems are the existence of clear organization structure and regulation, well-organized materials/class, interesting and fun programs, students and lecturers’ support and appreciation.&lt;/span&gt;
Hyper Optimized Molecular Subtype Predictio of Breast Cancer

Breast MRI is frequently being used for diagnosing breast cancer among the populations at high risk and is also used to evaluate up to what stage of cancer the diagnosis has been made. Although it is difficult to justify the daily use of MRI in the cases of the people recently diagnosed with cancer, the advantage of breast MRI has to be dominant over the biopsies suggested on the basis of findings from MRI. Now, the challenge lies in identifying those patients for whom, breast MRI is carried out and further causes effect on preoperative planning and thus causes a serious effect on the medical outcomes. Gene expression profiling has actually identified a number of unique subtypes of molecules for breast cancer that keeps on varying in the prognosis. There are five important molecular subtypes of breast cancer which are based on the genes that are expressed by cancer-causing tissues such as Luminal-A, Luminal-B, Triple negative basal-like, HER2 enriched, and Nominal. Once the appropriate subtype has been predicted it will help in treating cancer. Thus, the prediction of an accurate molecular subtype of breast cancer plays an important role. Through our study, we found that usage of Automated Machine Learning comes out to be the most efficient way in predicting the molecular subtypes even without increasing our dataset. We implemented BOHB (Bayesian Optimization Hyperband) which helps in optimizing the values of hyperparameters including learning rate, activation function, and optimizer..
What's in a name? People names in BHL & beyond

This presentation was delivered on Day 2 of the Authority Management of People Names workshop at the Mobilising Data, Policies and Experts in Scientific Collections Meeting, in Sofia, Bulgaria (12-13 March 2019).
THE DYNAMICS OF THE RESEARCH PROBLEMS OF STUDENTS INDEPENDENT ACTIVITY IN UKRAINE IN THE LATE XX AND EARLY XXI CENTURY

А. Я
SMAP Science Data System in the Cloud

SMAP Science data system in the cloud. This poster was presented at the Earth Science Information Partners (ESIP) Winter Meeting held in Bethesda, MD in January 2020.
Tracking and Classification of Aerial Objects

Unauthorized drone flying can prompt disruptions in critical facilities such as airports or railways. To prevent these situations, we propose a surveillance system that can sense malicious and/or illicit aerial targets. The idea is to track moving aerial objects using a static camera and when a tracked object is considered suspicious, the camera zooms in to take a snapshot of the target. This snapshot is then classified as an aircraft, drone, bird or cloud. In this work, we propose the classical technique of two-frame background subtraction to detect moving objects. We use the discrete Kalman filter to predict the location of each object and the Jonker-Volgenant algorithm to match objects between consecutive image frames. A deep residual network, trained with transfer learning, is used for image classification. The residual net ResNet-50 developed for the ILSVRC competition was retrained for this purpose. The performance of the system was evaluated with positive results in real-world conditions. The system was able to track multiple aerial objects with acceptable accuracy and the classification system also exhibited high performance.
PENDAMPINGAN ANAK MILENIAL DALAM MEMBACA AL QUR’AN DENGAN METODE NEURO NADI ACEH

The Iqra method has weaknesses in the dignity, short length of reading, the facts show that the alumni of this education are less considering the nature and meaning of letters. Weaknesses and weaknesses of the Iqra Method should be able to evaluate the method, as a solution to tackle the problem, the iqra method provides an opportunity to innovate for other methods. The Neuro Nadi Technique Method offers a 7-70 year old Nadi Quranic Learning Center program. A specialized work system of the neuro pulse method can focus the work of the left and right brain. Neuro Nadi Aceh (NNA) in research has competence in reading the Qur'an and giving better results than the previous Iqra methods. For this study the NNA institute was useful in teaching the Koran, referring to and then refining long-standing methods and the benefits of supporting Islamic Sharia in Aceh.
Text generation with diversified source literature review

Almost all academic studies include a literature review section. This section is of significance in terms of presenting the value of the suggested method of the researcher and making comparisons. Due to the increasing number of academic papers and the emergence of various directories and indices, the time spent for finding the related previous studies is an important period for the researcher, which consumes a significant amount of time. By means of the suggested method, researchers can access various types of featured publications related to the keyword from different years from a single address. The system also helps to reveal an exemplary and guiding literature review among the found publications by conducting a text generation. The system uses the TF-IDF method for keyword-based publication search and "Template-Based Text Generation" method for the text generation algorithm. In the study, the largest open-access journal platform, TÜBİTAK Dergipark and SOBIAD Citation Index were used as the data set. As a result of the conducted tests, a method that supports the literature review process, even helping to the writing of literature review, was suggested. Along with the fact that there has not been an equivalent of the suggested study, the comparisons for success, "Text Generation" and "Literature Review" were independently calculated and presented.
Formation of Future Teachers of Research Skills (for Example Biological Disciplines)

the article analyzes the stages of formation of research competencies in future biology teachers and the role of the didactic approach in the formation of creative abilities.
LIBER Strategy Update: 2019 Year In Review

This 2019 year-in-review report is a strategic update from LIBER Europe, the Association of European Research Libraries. It relates to our 2018-2022 Strategy.
Sparse Tensor Auto-Encoder for Saliency Detection

In this paper a new Sparse Tensor Auto-Encoder (STAE) model is proposed to learn a latent and discriminative feature representations for saliency detection. By formulating the background patches as holistic high-dimensional tensors and learning multi-dimensional dictionary to code image patches, the coding error can precisely reveal the difference between salient object and background. Then a saliency map can be derived by a subsequent refinement of the representation errors of patches via image segmentation. Several benchmark datasets are used to verify the effectiveness of the proposed method. The results show that the proposed STAE can accurately locate saliency region and outperform its counterparts.
LibGuides: Course Reserves,Short Loan,Restrict Resources: Short Loan

Welcome to the XJTLU Library. We want to make your use of Library services as smooth as possible. Here are some basic facts about the library services that you will find useful.
The Washback Effects of English National Examination in Teaching and Learning English for Deaf Students

This study aimed to see the teacher`s perspective and the positive or negative washback effect about English National Examination in teaching and learning English for deaf students at the tenth grade of SMALB Negeri 01 Lebak Bulus Jakarta Selatan. Qualitative-descriptive was used as a method in thi
Developing the Interpretability of Deep Artificial Neural Network on Application Problems

In recent years, the use of electronic health records (EHR) has increased dramatically. Mining hidden knowledge in “big data” from EHR has become a subject worthy of exploration. On the other hand, many recent applications used deep artificial neural network (ANN) to analyze EHR data and yielded great performance. Accordingly, this study developed functional models using deep ANN, and tried to validate effectiveness of this method in regression analysis and classification problem. Based on datasets downloaded from the UC Irvine Machine Learning Repository, the output mean squared error value 0.840 was within the range of one variance for the regression analysis. Similarly, the prediction accuracy 73.0% on the testing data was reported for the classification problem. Another focus of this study was identifying critical attributes using the layer-wise relevance propagation (LRP) algorithm to improve interpretability of deep ANN. According to evaluation outcomes, the identified features would match with those recognized by univariate analysis. In summary, effectiveness of deep ANN and LRP on application problems has been validated in this study.
Database Usage and Its Importance in Livestock

A database is a regular collection of structured information or data that is stored electronically in a computer system. For this purpose, as a result of various processes, businesses record all kinds of information, whether digital or not. Businesses need this kind of data and records to make accurate and healthy decisions. At the same time, companies must record this information for a long time in order to compete. Since it is possible to quickly access the data stored on the computer, it should be preferred. However, the data should be kept in the form of a database file, not a conventional filing system. In this method, the data can be filtered according to all kinds of criteria and the desired data can be reached quickly. With the data stored in animal husbandry enterprises for a long time, increasing the productivity in animal production, meeting the breeding needs of the desired characteristics, making efficient breeding organizations, and obtaining high income as a result of identifying the animals to be extracted from the herd will be made easier. At the same time, with the data stored for a long time, the legislation will be fulfilled in addition to quality and safe food monitoring from farm to table. Database software for storing technical data in animal husbandry; MySQL, Microsoft SQL, Microsoft Access, Postrage SQL, Oracle, Firebird, IBM DB2 are some of them. In this study, it is aimed to give information about the usage possibilities of databases in animal husbandry, the value and importance it will add to animal husbandry enterprise.
Validation of RP-SPF Framework: A Systematic Method for Requirements Reuse in Software Product Lines

Reuse of requirements is crucial activity in software development especially across software product line engineering (SPLE), which involves two main processes known as domain engineering and application engineering. With these two processes SPLE enables systematic reuse of requirements through proper planning and development. This paper presents methodology and result of survey of experts for validating a proposed systematic requirement reuse approach named requirements pattern for software product families (RP-SPF) framework. During the survey, 14 experts in requirements engineering (RE), SPLE and software development responded and gave their opinions on RP-SPF framework. The result of the survey shows that RP-SPF approach is suitable and can effectively improve requirements engineering activities of SPLE.
TEACHING WRITING BY USING PICTURES FOR JUNIOR HIGH SCHOOL STUDENTS (SMP) AT FORUM ANAK RPTRA KALIDERES, JAKARTA

This writing is a presentation of ideas and experiences from the implementation of PengabdianMasyarakat  carried out by lecturers of English study program (D3), Faculty of Communication and Languages, BSI University. English as an international language must be learnt by students in the school. Therefore, to improve the ability of students in writing English, the training of writing by using pictures is needed to be given. The training of writing by using pictures had been carried out on Sunday, March 10 th , 2019 in RPTRA Kalideres, Cengkareng, West Jakarta with theme Teaching Writing by Using Pictures for Junior High School Students (SMP) at Forum Anak RPTRA Kalideres, Jakarta Barat. The writing training was done by giving the material and exercises of writing English. The topic given is place such as restaurant, hospital, and police office and occupation such as waiter, doctor and detective. The students are given incomplete writing to be completed by them by using pictures given. The method used was descriptive analysis based on references and observations from Community Service. The result was that English language training held as one part of the Tri Darma of Higher Education could improve English writing for Junior High School students by using pictures
VP-ellipsis Resolution: Focus Feature Percolation and Inheritance

This paper attempts to deal with a contrast in sloppy reading found in some VP-ellipsis contexts from English. This reading is available if another VP-ellipsis applied in the preceding environment; it is unavailable if not. The purpose of this paper is to account for this contrast by exploring an alternative way to previous approaches such as the proform analysis by Schwarz(2000) and the LF structure analysis by Tomioka(2008). Despite some merits of these analyses, they are shown to have some difficulties in resolving the VP-ellipsis gaps. I then propose a new analysis in which some positive elements factored out of the two existing analyses are reshaped and incorporated more adequately in terms of focus feature percolation and inheritance.