Reviewerly/exHarmony huggingface dataset:
Multi-classifier Combined Anomaly Detection Algorithm Based On Feature Map In Underground Coal Mine

Abstract The detection of abnormal activities in deep learning is of great significance for preventing the occurrence of abnormal disasters in mine production. As the underground scenes of coal mines are characterized by much noise and uneven light, the traditional manual feature extraction method has little obvious effect in the underground and low accuracy of anomaly detection. To solve the above problems, a feature extraction method combining CNN+LSTM is proposed. Secondly, the obtained features are matched by graph structure. Finally, multiple classifiers are used to classify the features before and after matching. In this paper, experiments are carried out in coal mine dataset and UCSDped1 dataset respectively, and comparisons are made with some classical algorithms. Experimental show that the algorithm achieves high recognition accuracy in different abnormal event datasets.
Digital Literacy: The Need for Technology-Based Learning Media in the Revolutionary Era 4.0 for Elementary School Children

Digital literacy today is indispensable for students to use technology according to their needs and capacities. This study aims to analyze educational game-based learning media's needs in the era of industrial revolution 4.0 using descriptive research with an explorative qualitative approach. The research was conducted on grade V elementary school students in Surakarta City. Data collection through interviews and questionnaires. Interviews were conducted on three teachers selected with purposive sampling techniques. The questionnaire was distributed to 85 students online through JotForm. Source triangulation was chosen as a way to assess the validity of data and by using interactive analysis consisting of data collection, data reduction, data presentation, and conclusion drawing obtained research results that show that students need interactive learning multimedia in the form of educational games that can be used on smartphones and computers or laptops. Educational games are expected to be a solution to elementary school students' learning media needs in math subjects and improve students' learning motivation and understanding.
CCS Library: MFA: Color & Materials Design: Internet Resources

This guide is designed to steer Color & Materials Design students to Library resources that pertain specifically to their concentrations.
Retrofitting Mobile First Design, Responsive Design: Driving Factors, Approach, Best Practices and Design Considerations

For any business going online, mobile apps or websites aremandatory. Excluding internet sites with large and complex...
Library Guides: Open Research: How to: register a pre-print

This guide provides information and how-to advice on a number of different ways you can embed open practices into your research.
The Influence of Comic Strips towards Reading Comprehension on Narrative Text at Eighth Grade of SMP Negeri 2 Ciruas

The aim of the research is to find out whether or not using comic strips influence toward students’ reading comprehension at eighth grade of SMP Negeri 2 Ciruas. This research used quantitative method through quasi-experimental research design. The populations of this research were all of student of SMP Negeri 2 Ciruas. The total numbers of students are 839 students, and for the sample writer used cluster sampling. There are 8I which consisted of 32 students as the experiment class and 8H which consisted of 31 students as the control class. The writer used test as the instruments, there were pre-test and post-test. The writer took data from the students’ score of pre-test and post-test. As the result, the writer showed the mean of pre-test in control class was 55.96 and became 65.64 in the post-test. Meanwhile, in experimental class mean of pre-test was 44.35 and became 77.58 in the post-test. In finding a significant difference between two variables, the writer conducted T-test. The result showed t count was higher than t table (7.05 ≥ 2.00). Therefore, the alternative hypothesis (Ha) was accepted. Then, the writer interpreted the result of effect size above by seeing the scale of effect size. The value of 0.699 was at large level. Therefore, the writer concluded that Comic Strips has influence toward students’ reading comprehension especially in narrative text.
DEVELOPING READING I MATERIALS BY INTEGRATING READING AND PEDAGOGICAL SKILLS FOR ENGLISH LANGUAGE EDUCATION STUDENTS OF UNIVERSITY OF POTENSI UTAMA

Content-Based Instruction (CBI) is a very good concept to apply in any class including English Language Education class. Teaching language skills by having certain content is one of what CBI does. This research aims at developing Reading I materials by integrating reading skill and pedagogical knowledge for English Language Education students of University of Potensi Utama. It applied Research and Development (R&amp;amp;D) which dealt with some stages: needs analysis, review of literature, product development, expert validation, try out and dissemination. The result of this research is a set of text book of Reading I Materials containing pedagogical content which can be used in English Language Education of University of Potensi Utama. After try out, students who were respondents of this research said that Reading I materials developed by integrating reading and pedagogical skills are very interesting and useful because it relates to their interests and add their knowledge on English language teaching.
Real-time robust tracking with part-based and spatio-temporal context

Owing to the significant and excellent performance of correlation filter in the aspect of computation convenience, correlation filters based trackers have become increasingly popular in the visual object tracking community. However, complete or partial occlusion is one of the major factors that seriously impact the tracking performance in visual tracking. To address this issue, we propose a novel tracking algorithm that perfectly integrates the results from the global correlation and local correlation filters for estimating the more accurate position of target. Then, we introduce the occlusion detection mechanism to eliminate the occlusion impact on the final position of object. In addition, our proposed tracker employs the spatial geometric constraints among the global object and local patches of object for preserving the structure integration of object. For verifying our method, we conduct extensive qualitative and quantitative experiments on challenging benchmark image sequences.
Affine Annihilator Finding Algorithm for Boolean Function

So far, there are no efficient algorithms to solve a problem of finding the low degree annihilators for arbitrary Boolean function. In the paper we present a new algorithm to find affine annihilators for an arbitrary Boolean function. We start with considering the identity fg ≡ 0 or the arbitrary Boolean function f and its possible affine annihilator g . We use a special representation of the Boolean function in sum of its sub-functions to reduce degrees of considering functions in previous identity. As a result, we establish equivalence between the identity fg ≡ 0 for Boolean functions of n variables and the system of Boolean equations of n -1 variable. An algorithm for finding the affine annihilators for the arbitrary Boolean function f must find all the affine functions g so that fg ≡ 0. Our algorithm is based on reducing the problem of finding the affine annihilators for the Boolean function f of n to the similar problem for its sub-functions of n -1 variable. The presented algorithm has the following advantages: An input function can be presented in different ways; Output can be also presented in different ways; The algorithm can be effectively parallelized. It should be noted that the result we have obtained is not final and highlights some development directions: first, to study the impact of its input and output on the efficiency of the algorithm of various representations and, second, to use our idea of constructing the algorithm for development of algorithms, which allow finding the 2 nd , 3 rd , etc. degree annihilators for a specified Boolean function.
Workshop Administrasi Jaringan Komputer Berbasis Linux bagi Siswa SMK Negeri 1 Tanah Luas Kabupaten Aceh Utara

Workshop for network administrators based on the Linux operating system provides sufficient knowledge and understanding to teachers and students of SMK Negeri 1 Tanah Luas North Aceh Regency about the concept and implementation of computer networks based on the Linux operating system, this workshop is given related to the condition of schools that are still very lacking in resources the teacher guiding the subjects of computer networking practicum especially those based on linux and if seen the condition of the equipment in the laboratory of SMK Negeri 1 Tanah Luas North Aceh Regency is relatively very adequate to carry out computer network learning activities. In this workshop the focus is on computer-based Linux network installation techniques. Participants will be guided by the techniques of installation, configuration, maintenance and monitoring of networks on Linux, which hopefully students will have network competence so they can compete in the world of work. This workshop is also a support for students in computer networking subjects and becomes the school's capital to send students to compete in the local and national level LKS.
Research, Citation, & Class Guides: PreK-12 E-Books and Related Resources for Virtual Learning: Ebooks About COVID -19

UW-W Libraries currently subscribe to numerous higher education and academic e-book platforms. This supplements those with access to selections for younger readers. from New York City School Library System
LibGuides: PY 230 - Criminal Psychology: DeLuca: Ebsco Database Tutorials

This guide is designed to help students locate resources to successfully complete their research project on a serial killer.
Meta Learning for Event Argument Extraction via Domain-Specific Information Enhanced

As a sub-task of event extraction, event argument extraction (EAE) aims at identifying arguments and classifying the roles they play in an event. Existing supervised learning based methods for EAE require large-scale labeled data which prevents the adaptation of the model to new event types. In this paper, we propose a meta-learning based EAE method, which aims at learning a good initial model that can adapt quickly to new event types with limited samples for training. For taking advantage of the consistency of event structures under the same domain, we introduce dynamic memory networks (DMN) to learn the domain-specific information. We conduct experiments under meta-learning setting to explore the scalability of our methods on EAE. The experimental results show that our method can learn general and transferable information that can be applied to the EAE of new event types which only contain few samples.
Stronger Superadditivity Relations for Multiqubit Systems

Superadditivity relations characterize the distributions of coherence in multipartite quantum systems. In this work, we investigate the superadditivity relations related to the l1-norm of coherence $C_{l_{1}}$ in multiqubit quantum systems. Tighter superadditivity inequalities based on the α-th ( $\alpha \geqslant 1$ ) power of l1-norm of coherence are presented for multiqubit states under certain conditions, which include the existing results as special cases. These superadditivity relations give rise to finer characterization of the coherence distributions among the subsystems of a multipartite system. A detailed example is presented.
A Subatomic Proof System for Decision Trees

We design a proof system for propositional classical logic that integrates two languages for Boolean functions: standard conjunction-disjunction-negation and binary decision trees. We give two reasons to do so. The first is proof-theoretical naturalness: the system consists of all and only the inference rules generated by the single, simple, linear scheme of the recently introduced subatomic logic. Thanks to this regularity, cuts are eliminated via a natural construction. The second reason is that the system generates efficient proofs. Indeed, we show that a certain class of tautologies due to Statman, which cannot have better than exponential cut-free proofs in the sequent calculus, have polynomial cut-free proofs in our system. We achieve this by using the same construction that we use for cut elimination. In summary, by expanding the language of propositional logic, we make its proof theory more regular and generate more proofs, some of which are very efficient. That design is made possible by considering atoms as superpositions of their truth values, which are connected by self-dual, non-commutative connectives. A proof can then be projected via each atom into two proofs, one for each truth value, without a need for cuts. Those projections are semantically natural and are at the heart of the constructions in this paper. To accommodate self-dual non-commutativity, we compose proofs in deep inference.
PROFESSIONAL ORIENTATION AS CONCEPTUAL BASIS FOR TEACHING MATHEMATICS TO STUDENTS OF PEDAGOGICAL SPECIALTIES

АNNOTATION &#x0D; The professional orientation of mathematical education as a conceptual basis for teaching mathematics to students of pedagogical specialties is a necessary and sufficient condition for the implementation of a competence approach. This requires consideration of the issues of modeling the PNOM of students in pedagogical specialties and the methodology for its implementation.
Multiple Domain Image to Image Translation for Facial Attribute Transfer

In the field of Deep learning, image to image translation is an emerging concept of Computer Vision. Its objective is to learn the mapping between an input image and an output image. Over the years, remarkable results have been obtained in image translation for two domains. However, the existing studies require different generators for modelling multiple domain mappings. To overcome this drawback, we propose a scalable approach which can perform multi-domain image-to-image translations using only a single Generative network and a Support Vector Machine. Our architecture allows to control the different generative tasks of training the multiple datasets of varying domains using a single network. Our architecture also includes a SVM classifier for classifying the generated images into the target domains, thus providing a mechanism to check its own generated images for correctness. The results of our experiment exhibit superior qualitative performance in comparison to the existing models in translation between two domains. Our approach is extensible and we represent its success for the facial attribute transfer task.
Application of in vitro mammalian cell micronucleus test and mammalian cell gene mutation test in genetic toxicity detection of hair dyes: a comparison study

Objective  To determine genetic toxicity of three market-available hair dyes with in vitro micronucleus test (MNvit) and thymidinekinase mouse lymphoma assay (TK MLA) and to compare detection results of the two methods. Methods  Mouse L5178Y cell line was used in the detections. In MNvit test, micronucleus rate was calculated by microscopic counting of the specimens after smearing and staining. In MLA, mutation frequency (MF) was calculated for the determination of genetic toxicity. Results  Significant differences in micronucleus rate were observed between experiment group and negative control group for all the 3 hair dyes in MNvit (P Conclusion  The genetic toxicity results of in vitro micronucleus test and TK gene mutation test are highly consistent for the 3 hair dyes detected. Due to TK gene mutation test being time and cost consuming and complicated in operation, micronucleus test in vitro can be considered as another genetic toxicity test. However, further studies are needed for combined genetic toxicity test because of the inconsistency between the genetic toxicity results of in vivo and in vitro micronucleus test.
Secure Baking Transactions and Data Sharing Using Image Click and Grid Organization

The security is constantly wanted to its best at each phase of banking, Banking and other monetary associations are developing everywhere on the world. With the progression of the innovation and development in the cloud stages in banking industry, data partaking in the association getting more simpler , however with that more helpless against the assaults. The appropriate client verification is a significant issue in such stages. In this paper, we proposed an idea in which the picture is sectioned and coordinated in grid to frame the example and furthermore the picture click tally is clubbed with the example, the method of arrangement of password is simple and along with that the example structure is very solid to conquer the different kinds of assaults like beast power, password speculating etc..Similarly, the idea of the consolidated key is likewise the special idea which we have applied to go about as the meeting key, which is utilized during the time spent the sharing of the safe data between the two approved clients. Along with the meeting key, the utilization of the picture hash in the exchange will make the confirmation more grounded. The example created is tried preposterous apparatuses to test the strength and the outcomes got are very great..
Library: Using the SharePoint Mobile App: Getting Started

This guide walks VDOT employees through the process of downloading the SharePoint Mobile App and accessing VDOT's new SharePoint Online site from any connected device.
PENINGKATAN MOTIVASI BELAJAR FISIKA MELALUI PENERAPAN MODEL PEMBELAJARAN QUANTUM TEACHING DENGAN PENDEKATAN MULTI KECERDASAN DI SMA NEGERI I KAMPAR

The purpose of this research was to find improvement the student physics learning motivation in teaching physics through applying quantum teaching by multi intelegences approach implementation by the first year students at SMA N 1 Kampar on academic year 2005/2006. Improvement learning motivation is seen 15 learning motivation indicators. The subject of the research is the student X 3 class of SMA N 1 Kampar the sample taken was 37 student. Research instrument used of collecting data in this research  is questioner first motivation and questioner end motivation. The student motivation data analysis by descriptive analysis and differential analysis. The descriptive analysis showed that : (1) The motivation student learning as the topic rectiliniear motion through applying quantum teaching by multi intelegences approach implementation is categorized high and (2) Improvement the student physics learning motivation through applying quantum teaching by multi intelegences approach implementation 16,2 %.
List Learning with Attribute Noise

We introduce and study the model of list learning with attribute noise. Learning with attribute noise was introduced by Shackelford and Volper (COLT 1988) as a variant of PAC learning, in which the algorithm has access to noisy examples and uncorrupted labels, and the goal is to recover an accurate hypothesis. Sloan (COLT 1988) and Goldman and Sloan (Algorithmica 1995) discovered information-theoretic limits to learning in this model, which have impeded further progress. In this article we extend the model to that of list learning, drawing inspiration from the list-decoding model in coding theory, and its recent variant studied in the context of learning. On the positive side, we show that sparse conjunctions can be efficiently list learned under some assumptions on the underlying ground-truth distribution. On the negative side, our results show that even in the list-learning model, efficient learning of parities and majorities is not possible regardless of the representation used.
Operator Transpose within Normal Ordering and its Applications for Quantifying Entanglement

Partial transpose is an important operation for quantifying the entanglement, here we study the (partial) transpose of any single (two-mode) operators. Using the Fock-basis expansion, it is found that the transposed operator of an arbitrary operator can be obtained by replacement of a^{{\dag}}(a) by a(a^{{\dag}}) instead of c-number within normal ordering form. The transpose of displacement operator and Wigner operator are studied, from which the relation of Wigner function, characteristics function and average values such as covariance matrix are constructed between density operator and transposed density operator. These observations can be further extended to multi-mode cases. As applications, the partial transpose of two-mode squeezed operator and the entanglement of two-mode squeezed vacuum through a laser channel are considered.
International Activities - International Communication in Scientific and Professional Areas

Kalashnikov Izhevsk State Technical UniversityThe Institute of Informatics and Computer EngineeringEnglish Department
The effectiveness of online learning during the covid-19 pandemic

This study aimed to obtain information about the effectiveness of the online learning process in the Covid-19 pandemic. The study uses explorative qualitative methods with an inductive approach. In this study, the respondents involved were five people from SDN 01 Sape Kabupaten Bima, consisting of 1 teacher, two student guardians, and two students. To maintain the confidentiality of respondents’ identities, researchers gave the names of respondents P1, P2, P3, P4, and P5. The interviews were conducted in a structured manner with questions compiled and linked and developed with related literature. Weak supervision of students, lack of signal strength in remote areas, and expensive quota fees are challenges in online learning. The results of this study are less effective online learning because of the lack of facilities and infrastructure and the unpreparedness of technological education.
Best CPU For Gaming & Streaming in 2021

Gaming is one of the most intense functions you can carry out on a computer, It commands high framerates, resolution and will require your settings to ...
Penanganan Penggantian MCB Pada kWh Meter yang Tidak Sesuai Dengan Kontrak PLN Oleh P2TL Pada Pelanggaran P1 Di ULP Cibinong

PLN As a BUMN engaged in the distribution of Electric Energy Relies onRevenues from the sale of electricity. The electricity consumption of PLNcustomers which is measured through the Limiting and Measuring Tool theamount of electrical energy of the customer which is then changed from the kWh unit value to the Rupiah value of the electricity bill. Control of Electricity Usage that occurs in Cibinong ULP, namely electricity misuse by replacing MCB (Miniature Circuit Breaker) which is not in accordance with PLN's own contract and Damage of the seal on the kwh meter without PLN falling, this replacement is carried out due to lack of power to the customers themselves so that occurs losses on the PLN case or violation are included in Violation P1, which is affecting the power limit. Hereby, PLN, as the loser, carries a fine or sanction for the payment of the Subscription bill to be paid by the customer who commits aviolation after making the Subscription Bill, then the PLN shall take action by replacing the MCB in accordance with the contact or the customer requests to add power to the PLN.