Reviewerly/exHarmony huggingface dataset:
Российский рынок электронных ресурсов: производители и пользователи

Aim.  The article aims at the analysis of the dynamics and the structure of the Russian markets of scholarly electronic information broken by reference groups of providers and users. Materials and Methods.  Materials comprise results of the data processing of the Russian surveys on acquisition budgets in 2012–2018 and published results of the international surveys. We analyze three main reference groups and four sub-groups of the Russian organizations and three reference groups of providers of the electronic scholarly information. We obtained market shares of different reference groups of Russian subscribers and analyzed temporal dynamics of the market structure in 2012–2018. We obtained subscription chains and preferences broken by resource providers in Russia and compared our results with the results of the 2018 survey of American academics. We developed Russian rating of information providers and estimated market shares of each reference group. Results.  The market of electronic scholarly information shows continuous concentration towards the group of universities. In 2018, relative share of the university segment of the market of electronic resources made 94%. Since 2015, the share of the reference group of the universities of the 5/100 project increased from 36% to 46%, whereas the share of two national Russian universities shrank from 12% to 9% in 2017–2018. The Russian market of electronic resources is broken in three nearly equal parts related to three groups of resource providers and producers: 35% belong to the group of international publishers, 36% – to the Russian subscription agents and 29% – to the Russian producers and providers of electronic information. Nine of ten organizations responded that they subscribe via Russian information vendors and subscription agents and four of ten – directly via international publishers. This result corresponds to the results of the Academic Library Collection Development Survey 2018. Conclusions.  One can conclude that the Russian market of electronic resources is monopolized as referred to the users/consumers of scholarly electronic information and non-monopolized referring the providers and producers of electronic resources. The market comprises three almost equal segments related to three reference groups of providers and producers of electronic resources. The majority of Russian organizations subscribe to electronic resources via Russian electronic information producers or agents.
Spelling Correction of OCR-Generated Hindi Text Using Word Embedding and Levenshtein Distance

Optical Character Recognition (OCR) systems for Indian languages including Hindi often suffer from poor accuracy due to the wide character variety, compound characters, vowel signs, and other issues. Spelling errors play the key role in the low accuracy. Output level post processing can be an effective technique to detect and correct the spelling errors. In this paper we propose a system for spelling error correction from OCR-generated text in Hindi. The proposed technique is based on neural word embedding and Levenshtein distance. The Continuous Bag-of-Word (CBOW) model is used to learn the word embeddings using large corpora. Dictionary, named entity recognition and context information are used to detect the spelling errors. Once the errors are detected, then the word embeddings are used to find the top most likely words in that context that can replace the erroneous word. These words form the candidate list of words. Then Levenshtein distance is computed between the wrong word and these candidates list of words. The word having the least distance is chosen as the corrected word. The system is tested on ‘The Gita’ where we achieve a reasonable accuracy.
POI Recommendation Based on Heterogeneous Network

With the development of wireless networks and positioning technologies, location-based social networks (LBSN) have gained popularity. More and more people share experiences about points of interest (POI) through “check-in” behavior. Mining the check-in data can help people discover the POI they are interested in. However, the data sparsity of user check-in records and the cold start problem with users and POI pose serious challenges. In addition, POI recommendation need to consider the impact of multiple factors. In order to solve the above problems, we propose a POI recommendation method based on heterogeneous network representation learning, called HRPR. First, we propose to use the meta-path based weighted random walk method to generate node sequences and learn the representation vector of the user and POI by means of the skip-gram model. Then, we design a POI recommendation framework based on deep neural network. The experimental results on real-world Yelp dataset demonstrate the effectiveness of our framework.
On decoding procedures of intertwining codes

The barrier of the family of centralizer codes is the length which is always n2. In our paper, we have taken codes generated by two matrices A and C of different orders n × n and k × k respectively. This family of codes are termed as intertwining codes and denoted by . Specialty of this code is the length nk which gives a new approach to characterize family of centralizer codes. In this article, we show an upper bound on the minimum distance of intertwining codes. Besides, we establish two decoding methods which can be fitted to intertwining codes as well as for any linear codes. Moreover, we have shown a condition for which a linear code can be represented as an intertwining code.
СПОСОБИ АКТІВІЗАЦІЇ САМОСТІЙНОЙ РОБОТИ СТУДЕНТІВ

the article deals with the urgency of solving the problem of gaining students' experience of independent work in the process of studying in the ZVO. The essence of students' independent work (VTS), the issues of its organization and the means of activation in the learning process are considered. In general, improving its effectiveness implies a reorientation of curricula to a wider use of VTS, the models and types of which are subject to significant changes: increased hours of implementation; the integrative nature of student learning forms and methods; introduction of integrative technologies, use of innovative pedagogical technologies, organization of constant consultations of teachers and advisory service, creation of educational-methodical and material and technical base in the ZVO (textbooks, teaching aids, computer classes, laboratories and workshops for its implementation, cooperation with production structures and employers, etc.).
RANCANG BANGUN AUGMENTED REALITY PADA MEDIA PROMOSI PERUMAHAN VILLA GREEN AULIA

The house will not be separated from everyday human, because the house is a human need as a place to live. Therefore, prospective home buyers should consider the choice of home. In a housing exhibition, the agents used the media in the form of mockups and printed brochures of interestable prints possible to sell housing products. Through promotional media brochures and mockups is not uncommon for prospective buyers are still confused to imagine the image or shape of the house to be built because the promotion is still using 2-dimensional objects that have a limited viewpoint. Agents also choose brochures rather than mockups in their promotional media because in the cost of making a maket the price is too expensive and must make some type of type. And to perfect the mock and the brochures, then in this study aims to apply augmented reality technology to describe the housing sold in the form of 3dimensional objects. After augmented reality is used, the Agent can promote the house to replace the maket and brochure with the marker. A marker is a pattern created, in the form of an image the camera will recognize. Data collection methods in this study using observation, literature study and documentation while the method of system development using the Multimedia Development Life Cycle (MDLC) method. Making this application using various software that is 3ds Max for creating object 3D, Unity3D to create augmented reality, and Photoshop to create layout design, marker, and brochure. The test results android device shows the application has been compatible with all smartphones with a minimum of 1GB of RAM. The results of user testing on 20 respondents as a tester, where the response of 97% states well to very well so that the application made accordingly with the expected.
A Developmental Model of Behavioral Learning for the Autonomous Robot

In the environment cognition, how to realize efficient behavioral learning is a great challenge for the autonomous robot. Traditional methods, such as the model predictive control algorithms, suffer from the less flexibility and low efficiency. Since the robot may encounter the similar or same scenario in the following environment cognition, if it can determine its moving direction in advance, it will improve the efficiency of environment cognition. Considering that the lateral excitation in the internal neurons in the neural network can fire more surrounding neurons to store similar information, this paper introduces the lateral excitation in the internal neurons in a motivated developmental network to set up the weight connections between the robot’s moving direction and environment information in advance during the off-task process. When the robot meets similar or same scenario in its following environment cognition, it can determine its corresponding moving direction quickly, and enhance the efficiency of behavioral learning. Simulation in the static environment of the autonomous robot navigation demonstrates its effect.
IbM Kelompok Guru-Guru SD Inpres Sero di Kecamatan Somba Opu Kabupaten Gowa: Menulis Karya Ilmiah

Teachers are currently required to produce scientific work, whereas generally teachers only have no experience in writing scientific papers. The purpose of this program is to increase the knowledge of SD Inpres Sero teachers in Somba Opu District to have competence and independence and to be skilled in making scientific work. The program carried out is training and assistance in writing scientific papers. The method used in this training is the training and mentoring method that is intended for SD Inpres Sero teachers in Somba Opu District. Some of the stages carried out include preparation, observation, action plans, implementation, evaluation and feedback, and assistance in preparing class action research (CAR) and scientific articles. The results of the training show that the training participants have the skills to write scientific articles and produce products that are worthy of being published in scientific journals based on their classroom action research.
A win for game theory in the data center

When You Hear The Words "data center" and "games," you probably think of massive multiplayer online games like World of Warcraft. But there's another kind of game going on in data centers, one meant to hog resources from the shared mass of computers and storage systems. Even employees of Google, the company with perhaps the most massive data footprint, once played these games. When asked to submit a job's computing requirements, some employees inflated their requests for resources in order to reduce the amount of sharing they'd have to do with others. Interestingly, some other employees deflated their resource requests to pretend that their tasks could easily fit within any computer. Once their tasks were slipped into a machine, those operations would then use up all the resources available on it and squeeze out their colleagues' tasks. Such trickery might seem a little comical, but it actually points to a real problem-inefficiency. Globally, data centers consumed 205 billion kilowatt-hours of electricity in 2018. That's not much less than all of Australia used, and about 1 percent of the world total. A lot of that energy is wasted because servers are not used to their full capacity. An idle server dissipates as much as 50 percent of the power it consumes when running at its peak; as the server takes on work, its fixed power costs are amortized over that work. Because a user running a single task typically takes up only 20 to 30 percent of the server's.
THE INFLUENCE OF INFERENCING STRATEGY TOWARD STUDENTS’ READING ABILITY IN JUNIOR HIGH SCHOOL

Inferencing strategy is an activity to help the students focus on their understand of what they read. Students often become dependent on dictionaries for looking up new words as they read. This strategy used alone, can slow them down and lead them to incorrect definitions. Often, the information that  students need is available if they look at other parts of the task and at their own resources. Guessing the meaning of unfamiliar words can help them quickly solve problems without their having to go to other people or reference material. Students can use resources to verify their guesses. The objectives of the research were to identify: (1) whether Inferencing Strategy is more effective than conventional technique to teach reading; and  (2) whether average score of students’ reading ability which is taugh through Inferencing Strategy higher than which is taugh through conventional technique. The research method used in this research was experimetal method. The population of this research was the eleventh grade students of SMAN 7 Bandar Lampung, Lampung. The sample of research was  XI Science 6 consisted 36 students and XI  Science 7  consisted 34 students. The students in XI Science 6 were as experimental class who were taught using inferencing strategy and the students in  XI Science 7 were as control class who were taught using conventional technique. The data were in the form  quantitative data and  they were taken from a test.  They were the scores of students’ reading test after having  eight times treatments for each class. The researcher analyzed the data using  ttest formula. Based on  the result of data analysis, the research findings are: (1) Inferencing strategy  is an effective which can be used by the teacher to improve students’ reading ability; and (2) average score of students’ reading ability in experimental class was higher than in control class.
Machine learning for characterization of quantum states and processes (Conference Presentation)

Complete characterization of states and processes that occur within quantum devices is crucial for understanding and testing their potential to outperform classical technologies for communications and computing. However, solving this task with current state-of-the-art techniques becomes unwieldy for large and complex quantum systems. Here we realize and experimentally demonstrate a method for complete characterization of a quantum harmonic oscillator based on an artificial neural network known as the restricted Boltzmann machine. We apply the method to optical homodyne tomography and show it to allow full estimation of quantum states based on a smaller amount of experimental data compared to state-of-the-art methods. We link this advantage to reduced overfitting. Although our experiment is in the optical domain, our method provides a way of exploring quantum resources in a broad class of large-scale physical systems, such as superconducting circuits, atomic and molecular ensembles, and optomechanical systems.
Design and Development of AI-based Mirror Neurons Agent towards Emotion and Empathy

Retracted: After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IJACSA`s Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
Engineering two-photon wavefunction and statistics in a semiconductor chip (Conference Presentation)

High-dimensional entangled states of light provide novel possibilities for quantum information, from fundamental tests of quantum mechanics to enhanced computation and communication protocols. In this context, the frequency degree of freedom is particular attractive thanks to its robustness to propagation in optical fibers and its capability to convey large scale of quantum information into a single spatial mode. This provides a strong incentive for the development of efficient and scalable methods for the generation and the manipulation of frequency-encoded quantum states. Nonlinear parametric processes are powerful tools to generate such states, but up to now the manipulation of the generated frequency states has been carried out mostly by post-manipulation, which demands complex and bulk-like experimental setups. Direct production of on-demand frequency-states at the generation stage, and if possible using a chip-based source, is crucial in view of practical and scalable applications for quantum information technologies. Here we use an integrated semiconductor chip to engineer the wavefunction and exchange statistics of frequency-entangled photon pairs directly at the generation stage, without post-manipulation. Tuning the pump spatial intensity allows to produce frequency-anticorrelated, correlated and separable states, while tuning the spatial phase enables to switch between symmetric and antisymmetric spectral wavefunctions, leading respectively to bosonic and fermionic behaviors of the photons. We also demonstrate the generation of non-Gaussian entanglement in the continuous variables formed by the frequency and time degrees of freedom of the photon pairs. These results, obtained at room temperature and telecom wavelength, and with a chip-based source, open promising perspectives for the quantum simulation of fermionic problems with photons on an integrated platform, as well as for communication and computation protocols exploiting antisymmetric high-dimensional quantum states.
Environmental assessment of trace elements in the groundwater of the UAE

PreviousNext No AccessFifth International Conference on Engineering Geophysics, Al Ain, UAE, 21–24 October 2019Environmental assessment of trace elements in the groundwater of the UAEAuthors: D. AlshamsiS. HussienN. FadelK. GhareibF. HajiG. LatifA. MuradA. AldahanD. AlshamsiDepartment of Geology, United Arab Emirates University, Al-Ain, UAESearch for more papers by this author, S. HussienDepartment of Geology, United Arab Emirates University, Al-Ain, UAESearch for more papers by this author, N. FadelDepartment of Geology, United Arab Emirates University, Al-Ain, UAESearch for more papers by this author, K. GhareibDepartment of Geology, United Arab Emirates University, Al-Ain, UAESearch for more papers by this author, F. HajiDepartment of Geology, United Arab Emirates University, Al-Ain, UAESearch for more papers by this author, G. LatifDepartment of Geology, United Arab Emirates University, Al-Ain, UAESearch for more papers by this author, A. MuradDepartment of Geology, United Arab Emirates University, Al-Ain, UAESearch for more papers by this author, and A. AldahanDepartment of Geology, United Arab Emirates University, Al-Ain, UAESearch for more papers by this authorhttps://doi.org/10.1190/iceg2019-019.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Trace elements were analyzed in groundwater samples collected from 82 actively used wells covering most parts of the UAE. The groundwater data indicate a range of salinity from 140 to over 200000 mg/L. The results also indicate relatively very low concentrations of the elements Cd, Co, Cu and Pb while relatively higher values were found for Mn, Fe, Al, Ba and Sr. Spatial distribution of the trace elements suggests some higher concentrations along the western coastal zone and in area of carbonate aquifers. Comparison of the trace element data with the permissible limits of the WHO and EAD for drinking water indicates values less that the limits for all the element, except Fe. Groundwater of the wells that have higher Fe values than the permissible limit is generally used for irrigation purposes. Keywords: groundwater, aquifer, water, wells, samplingPermalink: https://doi.org/10.1190/iceg2019-019.1FiguresReferencesRelatedDetails Fifth International Conference on Engineering Geophysics, Al Ain, UAE, 21–24 October 2019ISSN (online):2159-6832Copyright: 2020 Pages: 315 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 03 Apr 2020 CITATION INFORMATION D. Alshamsi, S. Hussien, N. Fadel, K. Ghareib, F. Haji, G. Latif, A. Murad, and A. Aldahan, (2020), "Environmental assessment of trace elements in the groundwater of the UAE," SEG Global Meeting Abstracts : 77-80. https://doi.org/10.1190/iceg2019-019.1 Plain-Language Summary KeywordsgroundwateraquiferwaterwellssamplingPDF DownloadLoading ...
LibGuides: SPC 1017 (Merceron): Home

This research guide is designed to assist Poinciana Campus students in researching careers in Professor Merceron's Interpersonal Communications class. Using the tabs above to navigate, you will find research tools, MLA formatting help, and library contact
Information And Computer Technologies As A Factor Of Media Socialization Of Young People

In the article, the author has established that in the new conditions of development of modern civilization, under the influence of information and communication technologies, the processes of media socialization of young people are significantly activated. The transformation of modern society leads not only to the globalization of information space, but also makes ICT the key factor of mediatorially young people are actively influencing the attitudes and minds of young people.
Application to MCDM: Choosing a Library Name

From the formal viewpoint, ‘representatives’ do not necessarily have to be individuals. In Chapters 8–10 and 13–17, the representatives are not persons but political parties, and now we go even further, requiring no human nature of representatives but only their capacity to represent the interests of a group of people. More specifically, when choosing among an assortment of alternatives, the group members have various preferences regarding the nature of a solution being sought. Since these choice alternatives reflect collective opinions, they can be considered better or worse representatives of the social/collective will. This idea is applied to the exercise of deciding on a name for the campus library by a supervising committee. Its members have differing opinions, such as whether the library should reflect the national affiliation, be named after a great man, relate to sciences, and so forth. Regarding the balances of opinion on these issues, the alternative library names are evaluated using the indices of popularity and universality, which help to find the optimal compromise and bring the committee to a rational consensus.
A Re-initialization Clustering-Based Adaptive Differential Evolution for Nonlinear Equations Systems

Solving nonlinear equations systems is one of the most challenges for evolutionary algorithms, especially to locate multiple roots in a single run. In this paper, a new approach which combines speciation clustering with dynamic cluster sizing, adaptive parameter control and re-initiation mechanism is proposed to deal with this optimization problem. The major advantages are as follows: (1) the speciation clustering with dynamic cluster sizing can alleviate the trivial task to set proper cluster size; (2) to improve the search ability in each species and avoid the trivial work of parameter setting, adaptive parameter control is employed; and (3) re-initialization mechanism motivates the search algorithm to find new roots by increasing population diversity. To verify the performance of our approach, 30 nonlinear equations systems are selected as the test suite. Experiment results indicate that the speciation clustering with dynamic cluster size, adaptive parameter control, and re-initialization mechanism can work effectively in a synergistic manner and locate multiple roots in a single run. Moreover, comparison of other state-of-the-art methods, the proposed method is capable of obtaining better results in terms of peak ratio and success rate.