Reviewerly/exHarmony huggingface dataset:
MENGEMBANGKAN KOGNITIF ANAK MELALUI MODEL TAKE AND GIVE, MODEL SAVI, DAN METODE DRILL PADA ANAK USIA DINI

Abstrak Penelitian ini bertujuan untuk mendeskripsikan pelaksanaan dan pengembangan kemampuan aspek kognitif dalam mengklasifikasikan benda berdasarkan warna, bentuk, dan ukuran menggunakan kombinasi model take and give, model savi, dan metode drill. Jenis penelitian ini menggunakan Penelitian Tindakan Kelas (PTK) dengan subyek penelitian 10 anak laki-laki dan 7 anak perempuan kelompok B2 PAUD Terpadu Aisyiyah 39 Al Ummah. Penelitian dilaksanakan sebanyak 4 kali pertemuan dengan hasil penelitian yang menunjukkan bahwa dengan menerapkan kombinasi model take and give, model savi, dan metode drill dapat meningkatkan aktivitas guru hingga mencapai 97%, aktivitas anak mencapai 100%, dan hasil perkembangan kognitif anak mencapai 100%. Hasil penelitian ini dapat digunakan sebagai alternatif dalam pemilihan model dalam mengembangkan kemampuan kognitif dalam mengklasifikasikan benda berdasarkan warna, bentuk,dan ukuran pada anak.Kata kunci: Kognitif, mengklasifikasikan benda , model take and give, model savi, metode drill Abstract The ability to recognize good and bad behavior in children is not in accordance with the expected level of achievement, this is due to the teacher's side in the form of less class mastery, delivery of material which only uses lecture and question and answer methods. In addition, learning is also too dominated by teachers so that children become passive. To solve this problem, a combination of the Examples Non Examples model with the HeadTogether (NHT) Model Number and Make A Match can be done. This study aims to increase teacher activity, children's activities, and the development outcomes of children's religious and moral values. This classroom action research was carried out through 3 meetings. The results showed that by applying a combination of the Examples Non Examples model with the Number Head Together (NHT) and Make A Match model, teacher activity could increase up to 86%, children's activities reached 84%, and the results cognitive development of children reaches 85%. The results of this study can be used as an alternative in choosing a model in developing the ability of religious and moral values in early childhood. Keywords: Cognitif, classify object, take and give model, savi model, drill method
Heterogeneous Manifold Ranking Based Medical Image Retrieval with Relevance Feedback

Manifold Ranking is the information retrieval algorithm widely applied in medical image retrieval and its performances on content-based image retrieval is excellent, because of its outstanding ability to discover the geometrical structure of the database images. However, manifold ranking is computationally expensive, both in graph construction and ranking computation stages, which outstandingly limits its application on huge database. Here it is necessary to extend the manifold ranking algorithm and propose a new method as Heterogeneous Manifold Ranking (HMR). The aim is to address the shortcomings of Manifold Ranking and to create a retrieval system with efficient computation and reduced computational time. Design a new form of adjacency matrix utilized to speed up the computation time. The proposed work is effective and efficient . With a comparable performance to the original manifold ranking, it is a promising method to large scale real world retrieval problems.
Knowledge about COVID-19 in Young Lmeños University Students

Millions of cases of people infected with the Covid-19 virus in the world have been reported today, so knowing about its implications is vitally important not only to prevent contagion, but also to combat the fake news that is created about this virus. Therefore, this study aims to determine the level of knowledge about coronavirus in young limeños university students in 2020. The study was descriptive of non-experimental design. An online questionnaire evaluating the level of knowledge, previously validated by factorial analysis, was applied as an instrument. The exhibition consisted of 700 young university students from the first academic cycles between the ages of 16 and 25 (350 male and 350 female) from five universities in the city of Lima. The results show an average level of knowledge with 60%, followed by a low level with 20.4% and a high level with only 19.6%. This study is the first to investigate informational aspects related to Covid-19 and some associated socio demographic characteristics among the university population of an important city in Latin America.
The impact of prep class education on effective English requestive e-mails written by students in Turkey

For the past years, cross-cultural and interlanguage pragmatics have focused on native and non-native speech act descriptions, and only a small number of studies have investigated the preparatory class effect involved in speech act productions. To bridge the gap, this study aims to investigate the degree of directness and amount of lexical / phrasal internal and external modifications of requestive e-mails employed by 25 first grade students of English Language and Literature department with preparatory education and 25 first grade students of English Language and Literature department without preparatory education in their in a state university. It also aims to explore whether there is a difference between two groups according to the degree of imposition while making requests. The participants were given discourse completion tests in e-mail format including two different situations with low and high imposition levels and asked to write two requestive e-mails to their non-native professor. The e-mails were analyzed and classified based on Economidou-Kogetsidis’s (2011) framework which relies on Blum- Kulka et al. (1989) and Biesenbach-Lucas (2006, 2007). Based on the percentages and frequencies, the students with preparatory class education were compared to the students without preparatory class education, with respect to their usage of request strategies, lexical/phrasal internal modification and external modification. The results indicated that these two groups had both similarities and differences with respect to the degree of directness, the amount of internal and external modifications. Turkish ELL learners with and without prep class education employed more direct strategies in both situations. However, the group without prep class education employed more conventionally indirect strategies than the group with prep class education. None of the participants used non-conventionally indirect strategies. The group with prep class education used more internal modification than the group without prep class education. The most common internal modification was the consultative device in both groups. As for external modification, the group with prep class education utilized more supportive moves than the group without prep class education. Grounder was the most preferred supportive move by both groups. Keywords: Turkish ELL learners; requestive e-mails; academic e-mails; directness.
DL-AMP and DBTO: An Automatic Merge Planning and Trajectory Optimization and Its Application in Autonomous Driving

This paper presents an automatic merging algorithm for autonomous driving vehicles, which decouples the specific motion planning problem into a Dual-Layer Automatic Merge Planning (DL_AMP) and a Descent-Based Trajectory Optimization (DBTO). This work leads to great improvements in finding the best merge opportunity, lateral and longitudinal merge planning and control, trajectory postprocessing and driving comfort.
Methodology of scientific forecasting based on GIS of precious metal deposits in eastern Kazakhstan

Summary Experience of forecast studies testifies the lack of dominant factors of ore systems development and deposits location. In this connection, the necessary element of a forecast is studying and modelling of self-organized ore-formation systems based on understanding of interrelation between deposits formation and earth interior evolution. Ore formation must be reconstructed on the basis of system analysis methodology. The information for such analysis can exactly be represented by GIS that will enable to find common regularities and common approach to assessment of studied territory perceptivity.
Powtoon Animation Video in Introduction to Literature Class: Students' Perception

This research aimed to discover the students' perception of Powtoon animation video in Introduction to literature class. Technology had a significant impact on education. During covid-19, mostly online learning system was applied. Introduction to literature was one of the online class subjects done last semester at odd semester academic year 2020/2021 by using an online system. Sixteen meetings had been done for one semester, and the last project was creating powtoon to tell fiction stories. Thirty-five students involved in this research, and the project of powtoon was created by students as one project accomplishment in this class. The researchers set the qualitative research design by using interview. The interview result revealed that the students were enjoying creating powtoon in this class. They were motivated to use technology in the online class system and found more online media soon.
Using Git in an Android mobile application development course

There are many challenges when teaching a mobile application development course using Android Studio, the official integrated development environment (IDE) for the Android Operating System (OS). Th...
The Educational Intensive “Island 10-22”: Scientific and Educational Centers: from Idea to Implementation

The prestigious educational conference, “Ostrov 10-22”, started on 10 july 2019 at Skolkovo Institute of Science and Technology. The goal is to create and develop regional university teams that can implement systematic changes in the field of training for technological development. It has drawn over 1500 participants from across Russia and abroad, representing a twofold increase since last year.
PEMANFAATAN MODEL BAHAN AJAR PADA MATERI MENULIS CERPEN

Short story writing skills are considered complex skills and difficult to master. The obstacles when learning to write short stories are in students who tend to be lazy to read, while external factors lie in the availability of teaching materials, media, and strategies used by the teacher. The research objective was to determine the model of teaching materials in short story writing material. This type of research uses qualitative research with literature review methods. The library selection technique is based on the keywords of the teaching material model in short story writing material. The literature comes from accredited national journals on Google Scholar with a publication limit of the last 10 years. The literature study technique uses a synthetic matrix based on reference sources, sample types, methods, interventions, and findings. The conclusion is that the teaching material model in writing short story materials can be done using the storyboard learning method, experience, paraphrasing, short stories gram, audiovisual media, documentary films, and adobe flash.
‘V+上+(了)+PN’ 구조 중 ‘上’의 상 자질 중한 대조연구

“V+上+(了)+APN” structure of action verbs and action verbs. liu has gone, the prize, the prize of quality [+Dynamism], [±Summative], [±Instantaneity], [±Proximity], [+Persistence]. in response to the record as “rose”. the award is [+Dynamism], [±Summative], [±Instantaneity], [±Proximity], [+Persistence]. “V+上+(了)+FPN” structure of the flow of the time has gone on, grammar, reflect the category of the low end of the to box and the completion of the sub category of adhere to the to achieve. this response is the cover, “-었”, “-게 되다”, “-어 버리 다”, “-어 있-” in these very different. the past tense and the prize and award to continue to use the suffix or not. “V+上+(了)+LPN” structure of action verbs and action verbs. liu has gone, “가다”, “올라가다” the prize, the prize of quality the [+Dynamism], [±Summative], [±Instantaneity], [±Proximity], [+Persistence]. in response to the record as “가다” and “올라가 다”, and that the quality of the AABB]. “V+上+(了)+PPN” structure of operation flow. the work has gone is “올라가다” reflects that the quality [+Dynamism], [±Summative], [±Instantaneity], [±Proximity], [+Persistence]. in response to the record as rose. the award is [+Dynamism], [±Summative], [±Instantaneity], [±Proximity], [+Persistence]. however, the mechanism of action of “V+上+(了)+PPN” flow behavior, the time has gone on grammar, reflect the category of the low end of the. in response to the record as “-었”, we was the “- 었” the past tense to express.
Use of Open Access Scholarly Communications and Research Productivity of Librarians in Selected Academic Libraries in Southern Nigeria

Open access technology guarantees free, unrestricted access and use of scholarly communications and this has supported research in many ways. This paper tries to find out academic librarians’ use of open access for research productivity. Five research questions and three hypotheses were raised and formulated respectively. Descriptive survey was employed and from six universities libraries and 168 academic librarians were selected through a consensus technique. Results showed very high (82.4%) levels of awareness and positive (79.1%) attitudes among librarians who used open access for variety of purposes, consistency consulting Libre (91%), Academic (85.9%) and Black (80%) routes. Fully published journal articles (96.6%), peer-reviewed post prints (84.62%) and institution repository-archived theses and dissertation (83.2%) were mostly used for research. Based on the frequency of research output using open access, librarians were able to publish one or two papers within three months as against one or two papers yearly using subscription-based journals. There was significant positive relationship between awareness and attitude (r = 0.969, P = 0.000) and attitude and research productivity (r = 0.856, P = 0.000). There was also a significant (χ 2 = 105.0, P = 0.000) and notable improvement (49.5% to 71.3%) in research productivity with the use of open access journals in comparison with the subscription-based journal. Open access policy should thus be encouraged based on these findings.
Outsourcing and Job Performance: The Perspectives of Organizational Structure and Culture

Enhancing job performance by taking the role of outsourcing has gained importance in our days. This study focuses on testing how outsourcing affects organizational performance through examining the mediating roles of organizational structure and organizational culture. This study carried out in the telecommunication sector in Jordan with 72 valid samples for this purpose. Structural equation modeling with AMOS was utilized to test the proposed research hypotheses. The analysis concluded that outsourcing has a positive impact in both organizational structure and organizational culture, which affect directly on improving job performance
Distributed stochastic optimization with large delays

One of the most widely used methods for solving large-scale stochastic optimization problems is distributed asynchronous stochastic gradient descent (DASGD), a family of algorithms that result from parallelizing stochastic gradient descent on distributed computing architectures (possibly) asychronously. However, a key obstacle in the efficient implementation of DASGD is the issue of delays: when a computing node contributes a gradient update, the global model parameter may have already been updated by other nodes several times over, thereby rendering this gradient information stale. These delays can quickly add up if the computational throughput of a node is saturated, so the convergence of DASGD may be compromised in the presence of large delays. Our first contribution is that, by carefully tuning the algorithm's step-size, convergence to the critical set is still achieved in mean square, even if the delays grow unbounded at a polynomial rate. We also establish finer results in a broad class of structured optimization problems (called variationally coherent), where we show that DASGD converges to a global optimum with probability $1$ under the same delay assumptions. Together, these results contribute to the broad landscape of large-scale non-convex stochastic optimization by offering state-of-the-art theoretical guarantees and providing insights for algorithm design.
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer

Semi-supervised domain adaptation (SSDA) aims to solve tasks in target domain by utilizing transferable information learned from the available source domain and a few labeled target data. However, source data is not always accessible in practical scenarios, which restricts the application of SSDA in real world circumstances. In this paper, we propose a novel task named Semi-supervised Source Hypothesis Transfer (SSHT), which performs domain adaptation based on source trained model, to generalize well in target domain with a few supervisions. In SSHT, we are facing two challenges: (1) The insufficient labeled target data may result in target features near the decision boundary, with the increased risk of mis-classification; (2) The data are usually imbalanced in source domain, so the model trained with these data is biased. The biased model is prone to categorize samples of minority categories into majority ones, resulting in low prediction diversity. To tackle the above issues, we propose Consistency and Diversity Learning (CDL), a simple but effective framework for SSHT by facilitating prediction consistency between two randomly augmented unlabeled data and maintaining the prediction diversity when adapting model to target domain. Encouraging consistency regularization brings difficulty to memorize the few labeled target data and thus enhances the generalization ability of the learned model. We further integrate Batch Nuclear-norm Maximization into our method to enhance the discriminability and diversity. Experimental results show that our method outperforms existing SSDA methods and unsupervised model adaptation methods on DomainNet, Office-Home and Office-31 datasets. The code is available at https://github.com/Wang-xd1899/SSHT.
Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters

Cloud service providers consistently leverage their computing infrastructures by adding reconfigurable hardware platforms such as field-programmable gate arrays (FPGAs) to their existing infrastructures.Adding FPGAs to a cloud environment involves non-trivial challenges.The first challenge is virtualizing FPGAs as part of the cloud resources.As a standard virtualization framework is lacking, there is a need for an efficient framework for virtualizing FPGAs.Furthermore, FPGA resources are used in conjunction with central processing units (CPUs) and graphics processing units (GPUs) to accelerate the execution of tasks.Therefore, to gain the benefits of these powerful accelerating platforms, the second challenge is to optimize the allocation of tasks into the capable resources within a cloud data center.This work proposes an FPGA virtualization framework that abstracts the physical FPGAs into virtual pools of FPGA resources.The work further presents an integer linear programming (ILP) optimization model to minimize the makespan of tasks where FPGA resources are part of the cloud data center.Given the complex nature of the problem, a simulated annealing (SA) metaheuristic is developed to achieve gains in performance compared to the exact method and to scale up and handle many tasks and resources while providing nearoptimal solutions.Experimental results show that SA has reduced the makespan of a large dataset with 1000 tasks and 100 resources by up to 30% when compared to first-come-first-served (FCFS) and shortestdeadline-first (SDF) algorithms.Lastly, to quantify the performance of FPGA-enabled cloud datacenters, the work extends the CloudSim simulator (an open-source cloud simulator) to enable FPGA as a resource in its environment.The proposed virtualization framework and the SA scheduler are integrated into the environment.Simulation results show that the execution time of tasks is reduced by up to 78% when FPGA accelerators are used.
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym

BayesSim is a statistical technique for domain randomization in reinforcement learning based on likelihood-free inference of simulation parameters. This paper outlines BayesSimIG: a library that provides an implementation of BayesSim integrated with the recently released NVIDIA IsaacGym. This combination allows large-scale parameter inference with end-to-end GPU acceleration. Both inference and simulation get GPU speedup, with support for running more than 10K parallel simulation environments for complex robotics tasks that can have more than 100 simulation parameters to estimate. BayesSimIG provides an integration with TensorBoard to easily visualize slices of high-dimensional posteriors. The library is built in a modular way to support research experiments with novel ways to collect and process the trajectories from the parallel IsaacGym environments.
SEO for Medical Products to target regional audience using Sentiment analysis

Internet has grown exponentially in last decade more and more users and devices are added daily which has given opportunity of personal advertising allowing companies to reach to the customers directly but to get to the intended customers organizations need to go through search engine. SEO is technique that allows web document to be found more efficiently by search engine and provide right results for right query.This Paper focuses on implementing neural networks and sentiment analysis on social media pages and extract emotions for specific web document and categorize them and find new trends and predicting words which help to view and visit count of the page. Project scope is handling text data and not video /audio
DEVELOPMENT OF THE ACTIVITIES OF GIFTED SCHOOLCHILDREN ON MASTERING GEOMETRIC CONCEPTS IN FIGURATIVE STRUCTURES

The relevance of addressing the development of mental activity for mastering geometric con-cepts is due to the change in paradigmatic foundations taking place in modern education, asso-ciated with the recognition of the student as a subject of educational and cognitive activity, the initiator of his own activity. The goal is to describe a model of a didactic system for the devel-opment of activities for operating with geometric concepts in the process of teaching geometry to mathematically gifted students in 10–11 grades using the resource of the GeoGebra dynamic system as a component of the electronic educational environment (ELE). The goal is achieved by solving such problems as: to characterize the architecture of the model of a system that ensures in a learning situation the development of schoolchildren's activities in operating with geometric concepts; to substantiate psychodidactic conditions for the effective development of this kind of activity using the resource of the GeoGebra dynamic system; to define levels, criteria and indi-cators of the development. The educational activity in the electronic educational environment and the developed system of tasks within the elective course “Stereometry Tasks and Computer Graphics” for students of 10–11 grades are a didactic means of developing the activities of schoolchildren related to figurative-spatial methods of coding information. The results: a model of a didactic system for the development of activities for mastering spatial-figurative concepts in the process of teaching geometry to students of 10–11grades using the resource of the dynamic system GeoGebra is described. The conclusion: the development of the activity of schoolchildren in mastering spatial-figurative concepts occurs directly in the learning process. In the structure of this kind of activity, there are actions that are different in nature.