Reviewerly/exHarmony huggingface dataset:
WEB-BASED INFORMATION SYSTEMS FOR SERVICES IN THE SOCIAL DEPARTMENT OF PESAWARAN DISTRICT

This study analyzed the services at the Social Service office of Pesawaran District that were previously conducted conventionally and did not yet have a special system. The results of the analysis was applied in providing services with optimal PMKS data collection, registration of Joint Business Groups (KUBE) and updating the activity in a web-based system facilitation, so that the Social Service Office of Pesawaran District can provide information services well. The development of this system used a prototype method starting from gathering needs: meeting developers and clients (social service provider) determining general objectives, and specifically describing the parts that were needed, design: designing aspects of this software is the basis for making prototypes using development support tools UML Unified Modeling Language system, Prototype evaluation: the client (social service provider) evaluates and tests prototypes that are created and used to clarify the needs of software users. this web-based system provides all the information to the services available and also the assistance available at the Pesawaran Social Service. With this system, it can provide optimal services that can be directly accessed by all communities in Pesawaran Regency. So that all available assistance can be given to the community quickly and accurately
Improved Approximate Degree Bounds For $k$-distinctness.

An open problem that is widely regarded as one of the most important in quantum query complexity is to resolve the quantum query complexity of the k-distinctness function on inputs of size N. While the case of k=2 (also called Element Distinctness) is well-understood, there is a polynomial gap between the known upper and lower bounds for all constants k>2. Specifically, the best known upper bound is O (N^{(3/4)-1/(2^{k+2}-4)}) (Belovs, FOCS 2012), while the best known lower bound for k≥ 2 is Ω(N^{2/3} + N^{(3/4)-1/(2k)}) (Aaronson and Shi, J. ACM 2004; Bun, Kothari, and Thaler, STOC 2018).For any constant k ≥ 4, we improve the lower bound to Ω(N^{(3/4)-1/(4k)}). This yields, for example, the first proof that 4-distinctness is strictly harder than Element Distinctness. Our lower bound applies more generally to approximate degree. As a secondary result, we give a simple construction of an approximating polynomial of degree O(N^{3/4}) that applies whenever k ≤ polylog(N).
INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE NATIONAL UNIVERSITY OF EDUCATION OF ECUADOR

This study is a partial advance of ongoing research whose main objective is the creation, contribution, and analysis of cultural indicators in the Ecuadorian university context. This work focuses specifically on providing a series of indicators on the equipment, use, and consumption of the TIC of students of the National University of Education of Ecuador (UNAE). The methodology used is the quantitative of descriptive-analytical order, based on the data collected in a survey applied on a population sample, made up of 438 students of the total universe between the different careers and cycles offered by the UNAE. The sample has a margin of 95% reliability and an error of 5%. The obtained results showed a high level of equipment, use, and consumption of the different technological devices. Also, this university population spends daily hours in academic and free time activities in cellphones, television, videos, and internet.
Survey on Scalable Content-Aware Collaborative Filtering for location recommendation

The Location recommendation plays an essential role in helping people find interesting places. Although recent research has he has studied how to advise places with social and geographical information, some of which have dealt with the problem of starting the new cold users. Because mobility records are often shared on social networks, semantic information can be used to address this challenge. There the typical method is to place them in collaborative content-based filters based on explicit comments, but require a negative design samples for a better learning performance, since the negative user preference is not observable in human mobility. However, previous studies have demonstrated empirically that sampling-based methods do not work well. To this end, we propose a system based on implicit scalable comments Content-based collaborative filtering framework (ICCF) to incorporate semantic content and avoid negative sampling. We then develop an efficient optimization algorithm, scaling in a linear fashion with the dimensions of the data and the dimensions of the features, and in a quadratic way with the dimension of latent space. We also establish its relationship with the factorization of the plate matrix plating. Finally, we evaluated ICCF with a large-scale LBSN data set in which users have text and content profiles. The results show that ICCF surpasses many competitors’ baselines and that user information is not only effective for improving recommendations, but also for managing cold boot scenarios.
Locality Sensitive Hashing for Set-Queries, Motivated by Group Recommendations

Locality Sensitive Hashing (LSH) is an effective method to index a set of points such that we can efficiently find the nearest neighbors of a query point. We extend this method to our novel Set-query LSH (SLSH), such that it can find the nearest neighbors of a set of points, given as a query.Let s(x,y) be the similarity between two points x and y. We define a similarity between a set Q and a point x by aggregating the similarities s(p,x) for all p∈ Q. For example, we can take s(p,x) to be the angular similarity between p and x (i.e., 1-(∠(x,p)/π)), and aggregate by arithmetic or geometric averaging, or taking the lowest similarity.We develop locality sensitive hash families and data structures for a large set of such arithmetic and geometric averaging similarities, and analyze their collision probabilities. We also establish an analogous framework and hash families for distance functions. Specifically, we give a structure for the euclidean distance aggregated by either averaging or taking the maximum.We leverage SLSH to solve a geometric extension of the approximate near neighbors problem. In this version, we consider a metric for which the unit ball is an ellipsoid and its orientation is specified with the query.An important application that motivates our work is group recommendation systems. Such a system embeds movies and users in the same feature space, and the task of recommending a movie for a group to watch together, translates to a set-query Q using an appropriate similarity.
Transitivity System in Different Spoken Discourses

This research was aimed at finding out the effect of storybook as the learning media on the first grade primary school students’ reading comprehension at W.R. Supratman 2 Medan. The storybook included the interrelated pictures and sentences that formed a coherent story. This research used experimental design. The subjects of this research was 88 students which were divided into 44 students in control group and 44 students in experimental group. From the data analysis, this research revealed that the average score of experimental group was 69.32 which was higher than the average score of control group 48.18 (69.32 &gt; 48.18), and the result of t-test showed that tcount = 3.14 was higher than ttabel = 1.68 (3.14 &gt; 1.68). It showed that thye effect of the storybook significantly influenced the achievement of the students’ reading comprehension.
The Development and Evaluation of a Smart E-Learning Platform for Programming Instruction

The objective of this research is to design a set of smart programming learning and instruction APP platform. The designed programming learning mobile device APP not only provides step-by-step instructions in different topics, and instructional steps guided by program logic, but also has program example explanations for learners’ reference to improve their programming logic. The other purpose of the research is to provide diversified learning methods, strengthen the knowledge and conceptual teaching of college students with IT-based fundamental concepts, improve learners’ willingness and interest in learning, and test their learning effectiveness. Because students have the habit of carrying mobile phones and using mobile phones to query online information, therefore, teaching through E-Learning apps can reduce the difficulty of experiments. The design of APP-based instruction methods also increases students’ interest in learning. According to the experimental results, when using this APP instruction platform, students test their learning achievements, effectiveness, and satisfaction after using APP’s online learning and teaching. All of them have significant help for students’ learning.
d-Multiplicative Secret Sharing for Multipartite Adversary Structures

Secret sharing schemes are said to be d-multiplicative if the i-th shares of any d secrets s^(j), j∈[d] can be converted into an additive share of the product ∏_{j∈[d]}s^(j). d-Multiplicative secret sharing is a central building block of multiparty computation protocols with minimum number of rounds which are unconditionally secure against possibly non-threshold adversaries. It is known that d-multiplicative secret sharing is possible if and only if no d forbidden subsets covers the set of all the n players or, equivalently, it is private with respect to an adversary structure of type Q_d. However, the only known method to achieve d-multiplicativity for any adversary structure of type Q_d is based on CNF secret sharing schemes, which are not efficient in general in that the information ratios are exponential in n.In this paper, we explicitly construct a d-multiplicative secret sharing scheme for any 𝓁-partite adversary structure of type Q_d whose information ratio is O(n^{𝓁+1}). Our schemes are applicable to the class of all the 𝓁-partite adversary structures, which is much wider than that of the threshold ones. Furthermore, our schemes achieve information ratios which are polynomial in n if 𝓁 is constant and hence are more efficient than CNF schemes. In addition, based on the standard embedding of 𝓁-partite adversary structures into ℝ^𝓁, we introduce a class of 𝓁-partite adversary structures of type Q_d with good geometric properties and show that there exist more efficient d-multiplicative secret sharing schemes for adversary structures in that family than the above general construction. The family of adversary structures is a natural generalization of that of the threshold ones and includes some adversary structures which arise in real-world scenarios.
복합양식 텍스트 읽기에서의 전략 사용 양상 연구

The purpose of this study is to derive implications for the reading education by analyzing the patterns of readers'' multimodal text reading strategies. In this regard, nine undergraduate readers examined the process of reading text. The analysis revealed that readers personally created and used reading strategies through (non) formal learning.‘navigator’ strategies are ‘Select meaningful modes based on informativity’, ‘Following along’ and ‘Selective access to modes based on empirical knowledge’. ‘interpreter’ strategies are ‘Infer meaning through anchoring modes’, ‘Use Schema to infer the meaning of modest’ and ‘Infer text context through Representation Ques’. ‘designer’ strategy is ‘Framing’. Finally ‘interrogator’ strategies are ‘Examine and evaluate the semantic function of modes using interpretive grammar’ and ‘View inside and outside the text’.However, it was confirmed that there are significant deviations in the aspect and level of reading strategies depending on learning. This means that systematic learning is needed. Therefore, some suggestions were made regarding the design of multimodal text reading education.
KNOWLEDGE MANAGEMENT AND INNOVATION

The level of venture mortality rate in the Nigeria business environment is quite startling as a result of the immense global competition. The rate of knowledge management practice is low which is linked to low or lack of innovation. This mortality rate could be linked to lack of innovative capability. Therefore, this study is designed to evaluate the impact of knowledge management on innovation in selected banks in Nigeria. The objectives of the study are: to investigate the relationship between experience sharing and managerial innovation in the banking sector; to examine the effect of the knowledge application process on product Innovation in the banking sector. Primary data were obtained through the use of a questionnaire. Simple random sampling technique was used to select a sample of 80 respondents from the study population of 185 employees. Correlation (r) analysis was adopted to analyse the relationship between experience sharing and managerial innovation in the banking sector, and multiple regression analysis was used to analyse the effect of the knowledge application process on product Innovation in the banking sector. The result of the correlation analysis indicated that there is a relationship between experience sharing and managerial innovation and the regression analysis show that knowledge application has a positive high effect on product innovation (R Square of 0.825). The study concluded that knowledge management is not only important for product innovation but also is very necessary for managerial innovation in term of experience sharing from customer, colleagues and across the units in the banks. Therefore, the study recommended that banks in Nigeria should encourage experience-sharing through feedback from customer and experiences from an employee in order to promote managerial innovation and also encourage knowledge application by the utilization and application of knowledge to solve a new problem which will lead to product innovation that is tailored toward customer satisfaction in their organisation.
Environmental Geochemical Assessment of Ogbagha River Sediments in Okpella Area of Edo State, Nigeria

The main aim of this paper is the environmental geochemical assessment of Ogbagha river sediments to ascertain the level of their pollution. The study area lies between latitude 7°14’N and 7°22’N and longitude 6°15’E and 6°23’E in Okpella area of Edo State, Nigeria. Major and trace elements in the six composite samples collected were analysed using Epsilon-5 x-ray fluorescence model (pAnalytical). SiO2 values range from71.4-81.61 wt. % with mean of 75.71 wt %, while Al2O3 values range from 7.01-12.97 wt. % with mean values of 11.56 wt. %.The other major oxides are below 7.00 wt. %. SiO2 and Al2O3 wt. % values are indicative of felsic source rock. The mean concentration values of Zr (1,830.55 ppm), Ba (1,416.00 ppm) and Cu (77.17 ppm) are higher than their crustal baseline values. Conversely, Sr (295.00 ppm), In (106.00 ppm), As (14.83 ppm), Cr (8.53 ppm), Co (7.00 ppm), Pb (13.33 ppm) have lower average concentrations than their crustal baseline average concentrations. Chemical index of alteration values for the samples also pointed to felsic source rock(s). The index of geoaccumulation values of Sb, In, Zr is indicative of serious environmental geochemical concern in the study area. However, potentially toxic elements such as Cu, Cr, Co, Pb, etc. are below the pollution baseline. It is recommended that standard environmental remediation measures should be taken to mitigate the pollution impact of In, Sb and Zr in the study area. &#x0D; Keywords: Ogbagha-Okpella, environmental geochemistry, enrichment ratios, geoaccumulation index
Context Management in IoT

Internet users’ are carrying several smart devices with them and moves with it in this rapidly changing world of Internet of Things. These smart devices and IT environment have brought up revolutionary changes in the user’s life, businesses, etc. Existing devices and inclusion of computational devices are making a big difference in communication with other entities (user, devices, etc.). This revolutionary combination is executing productive tasks that reduce human intervention with computers.
Constructivist Approach Implementation in the Prospective Teachers’ Training (on the Example of Teaching Natural Sciences and Teaching Methods at Primary School)

The article presents the analysis of the possibilities of implementing constructivist approach in higher pedagogical education institutions, in particular in training prospective primary school teachers. The concept of constructivism is investigated and generalizations of the views of modern Ukrainian and foreign scientists on the problem of organizing the educational process on the basis of constructivism are presented. The effectiveness of constructivism as a strategy of teaching natural sciences is proved. This strategy demonstrates the ability of the individual to make his own choices, to realize his own responsibility, to successfully solve problems and make changes in the social environment. The authors present their own experience of introducing the elements of constructivism into the educational process of teaching the integrated course “Fundamentals of Nature Studies and Ecology”. The types of different tasks for practical and laboratory classes, and independent work are offered, the technique of constructivist approach implementation in work in micro groups and at the lesson modelling by the prospective primary school teachers are described. The examples of introduction of constructivist tasks from the integrated course “I Am Exploring the World” to the educational process of primary school are given.
INSPECTRE: Privately Estimating the Unseen

We develop differentially private methods for estimating various distributional properties. Given a sample from a discrete distribution p, some functional f, and accuracy and privacy parameters alpha and epsilon, the goal is to estimate f(p) up to accuracy alpha, while maintaining epsilon-differential privacy of the sample. We prove almost-tight bounds on the sample size required for this problem for several functionals of interest, including support size, support coverage, and entropy. We show that the cost of privacy is negligible in a variety of settings, both theoretically and experimentally. Our methods are based on a sensitivity analysis of several state-of-the-art methods for estimating these properties with sublinear sample complexities
PROBLEMS OF INFORMATIONAL SUPPORT OF VALUATION ACTIVITY

The collective monograph describes the theoretical and practical aspects of development of the European research area. The general issues of the history of pedagogy, theory and methods of teaching, correctional pedagogy, theory and methods of vocational education and educational management, the current state of philological research, etc. are considered. The publication is intended for scholars, teachers, postgraduate students, and students of pedagogical specialties, as well as a wide readership interested in pedagogy and philological. Theoretical and practical aspects of the development of the European Research Area: collective monograph / edited by authors. – 2nd ed. – Riga, Latvia : “Baltija Publishing”, 2020. – 334 p.
La Corte costituzionale e le questioni tecnico-scientifiche in materia sanitaria

To date, when health issues characterized by high scientific or technical complexity have been referred to it, the Italian Constitutional Court has never used its preliminary powers of investigation to request technical-scientific data. The Court leaves to the legislator the task of regulating the scientifically relevant cases and reviews the use of scientific data by the legislator only in the presence of evident unreasonableness. Furthermore, the Court recognizes ample spaces of autonomy to the medical sciences, both in relation to the Court’s own review, and more generally vis-a-vis the discretion of the legislator and the powers of the judiciary.
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer

Unsupervised image-to-image translation consists of learning a pair of mappings between two domains without known pairwise correspondences between points. The current convention is to approach this task with cycle-consistent GANs: using a discriminator to encourage the generator to change the image to match the target domain, while training the generator to be inverted with another mapping. While ending up with paired inverse functions may be a good end result, enforcing this restriction at all times during training can be a hindrance to effective modeling. We propose an alternate approach that directly restricts the generator to performing a simple sparse transformation in a latent layer, motivated by recent work from cognitive neuroscience suggesting an architectural prior on representations corresponding to consciousness. Our biologically motivated approach leads to representations more amenable to transformation by disentangling high-level abstract concepts in the latent space. We demonstrate that image-to-image domain translation with many different domains can be learned more effectively with our architecturally constrained, simple transformation than with previous unconstrained architectures that rely on a cycle-consistency loss.
A Nonlocal Laplacian-Based Model for Bituminous Surfacing Crack Recovery and its MPI Implementation

This paper is devoted to the challenging problem of fine structure detection with applications to bituminous surfacing crack recovery. Drogoul (SIAM J Imag Sci 7(4):2700–2731, 2014) shows that such structures can be suitably modeled by a sequence of smooth functions whose Hessian matrices blow up in the perpendicular direction to the crack, while their gradient is null. This observation serves as the basis of the introduced model that also handles the natural dense and highly oscillatory texture exhibited by the images: We propose weighting $$\left| \frac{\partial ^2u}{\partial x_1^2}\right| ^2+\left| \frac{\partial ^2u}{\partial x_2^2}\right| ^2$$ , u denoting the reconstructed image, by a variable that annihilates great expansion of this quantity, making then a connection with the elliptic approximation of the Blake–Zisserman functional. Extending then the ideas developed in the case of first-order nonlocal regularization to higher-order derivatives, we derive and analyze a nonlocal version of the model, and provide several theoretical results among which there are a $$\varGamma $$ -convergence result as well as a detailed algorithmic approach and an MPI implementation based on a natural domain decomposition approach.