Reviewerly/exHarmony huggingface dataset:
Energy budget of laboratory earthquakes: a comparison between linear elastic fracture mechanics approach and experimental approach.

&amp;lt;p&amp;gt;Earthquakes correspond to a sudden release of elastic energy stored during inter-seismic period by tectonic loading around fault. The earthquake energy budget consists of four non-independent terms: the energy release rate (by unit crack length), the fracture energy, the heat term and finally the radiated energy. These terms depend on the rupture and sliding velocities, the amount of slip and the stress drop. Because of the impossibility to access to stress and strain conditions at depth, the earthquake energy budget cannot be fully constrained from seismological data, limiting our understanding of its influence on rupture propagation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To address this issue, we conducted stick-slip experiments with large samples in a biaxial configuration apparatus. By imposing constant normal load and increasing shear load, seismic events were produced on a 20 cm long fault, for which the energy budget was estimated using different methods.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Fracture energy was estimated by recording the strain field around the crack tip through high frequency (2 MHz) strain gage rosettes array and comparing it to the theoretical LEFM strain field predictions obtained for same conditions (i.e. rupture velocity, distance from the fault). Fracture energies were then inverted and found to range in between 1 and 10 J/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;. At the same time the energy partitioning was estimated through stress-slip evolution during rupture. The fracture energies obtained from this method are almost one order of magnitude larger than the ones inverted from LEFM and range in between 1 and 90 J/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;. Moreover, the energy partitioning shows the radiated energy ranging between 80 and 300 J/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt; and finally the heat/thermal energy as the largest fraction of the energy partitioning with values ranging from 200 to 2500 J/m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;. Our preliminary results highlight the importance of understanding the contribution of heat energy in frictional processes, since this term cannot be estimated from seismological data.&amp;lt;/p&amp;gt;
영논항의 pro(영대명사) 분석 재고

Null argument phenomena have been discussed roughly in two aspects: distribution and interpretation. A pro analysis of null arguments has been challenged because of null argument examples that may exhibit sloppy interpretation. In this paper, we pay attention to the fact that in the environment where sloppy(-like) interpretation of null arguments is observed, overt pronoun can also yield the same interpretation. More specifically, we show that our version of pro analysis is desirable on both conceptual and empirical grounds. Our analysis is conceptually simple because under the assumption that pro is equal to overt pronoun, we can account for the interpretation of both null arguments and overt pronouns in a parallel way. Our analysis is also empirically superior in explaining null CP asymmetries and resolving wh-puzzles.
CNDS-Cybersecurity: Issues and Challenges in ASEAN Countries

This research will provide an overview of the predominant cybersecurity issues in ASEAN countries, current measures adopted by ASEAN countries in tackling cyber security issues and identify challenges that are being faced by ASEAN countries. However, in recent years, cybersecurity has become a critical problem globally, which led ASEAN to step up and take action to address the cybersecurity problem with a sense of urgency. Despite awareness of the importance of a resilient cybersecurity procedure across the region, previous research discovered that measures of protection and other efforts to counter cyber-related incidents amount to a regional and national level. The main objective of this research is to study and analyse previous research that has been conducted by ASEAN members. This research presents an exhaustive review of previous study on cybersecurity issues by using a numerical method. Although the ASEAN region has substantial economic growth, there is limited research on cybersecurity in certain countries of ASEAN. Presently, the fourth industrial revolution (IR 4.0) has advanced technological transformation worldwide. This research aims to support one of the nine pillars of industry 4.0 on the list, namely, cybersecurity. As ASEAN grows in the field of digital connectivity, however, victims of cyber-attacks are bound to rise across the globe. This study has found that generally, studies on cybersecurity focuses on several themes, such as defense against innovative cyber-attacks (DCA), strategies against cybersecurity threats (SCS), government policies and protection against privacy (GPP), protection of computer infrastructures in the government (PCG), and legal and ethical issues on cyberspace (LEC). On top of that, this research highlights the major cyber-attacks faced by certain ASEAN countries as a guide to improve the existing systems. Finally, the results presented can facilitate improvements to be made in cybersecurity implementation in ASEAN countries for future research.
Guardian: symbolic validation of orderliness in SGX enclaves

Modern processors can offer hardware primitives that allow a process to run in isolation. These primitives implement a trusted execution environment (TEE) in which a program can run such that the integrity and confidentiality of its execution are guaranteed. Intel's Software Guard eXtensions (SGX) is an example of such primitives and its isolated processes are called \emph{enclaves}. These guarantees, however, can be easily thwarted if the enclave has not been properly designed. Its interface with the untrusted software stack is arguably the largest attack surface that adversaries can exploit; unintended interactions with untrusted code can expose the enclave to memory corruption attacks, for instance. In this paper, we propose a notion of an \emph{orderly} enclave which splits its behaviour into several execution phases each of which imposes a set of restrictions on accesses to untrusted memory, phase transitions and registers sanitisation. A violation to these restrictions indicates an undesired behaviour which could be harnessed to perpetrate attacks against the enclave. We also introduce \Analyser{}: a tool that uses symbolic execution to carry out the validation of an enclave against our notion of an orderly enclave; in this process, it also looks for some typical memory-corruption vulnerabilities. We discuss how our approach can prevent and flag enclave vulnerabilities that have been identified in the literature. Moreover, we have evaluated how our approach fares in the analysis of some practical enclaves. \Analyser{} was able to identify real vulnerabilities on these enclaves which have been acknowledged and fixed by their maintainers.
Information-theoretic Evolution of Model Agnostic Global Explanations.

Explaining the behavior of black box machine learning models through human interpretable rules is an important research area. Recent work has focused on explaining model behavior locally i.e. for specific predictions as well as globally across the fields of vision, natural language, reinforcement learning and data science. We present a novel model-agnostic approach that derives rules to globally explain the behavior of classification models trained on numerical and/or categorical data. Our approach builds on top of existing local model explanation methods to extract conditions important for explaining model behavior for specific instances followed by an evolutionary algorithm that optimizes an information theory based fitness function to construct rules that explain global model behavior. We show how our approach outperforms existing approaches on a variety of datasets. Further, we introduce a parameter to evaluate the quality of interpretation under the scenario of distributional shift. This parameter evaluates how well the interpretation can predict model behavior for previously unseen data distributions. We show how existing approaches for interpreting models globally lack distributional robustness. Finally, we show how the quality of the interpretation can be improved under the scenario of distributional shift by adding out of distribution samples to the dataset used to learn the interpretation and thereby, increase robustness. All of the datasets used in our paper are open and publicly available. Our approach has been deployed in a leading digital marketing suite of products.
Multisteps Sales Forecasting using LSTM Compared to GMDH

This work reports the effectiveness of using Recurrent Neural Network LSTMs for multistep sales forecasting instead of a standalone approach and the use of time series data, treatment of inflation, forecasting options and tunings to help decision executives make better decisions on forecast and management systems.This work is lead on historical sales based on a year of demand records, the program established using LSTMs showed minimal loss and optimal forecasts compared to prediction using GMDH which is known for management forecasts such as inventories and sales forecasting.
Using the Camberwell Assessment of Need Forensic Research Version (CANFOR-R)

Provides brief details on the development and use of the CANFOR-R and a full 25 page version of the CANFOR suitable for research use.
Learning Implicit Temporal Alignment for Few-shot Video Classification

Few-shot video classification aims to learn new video categories with only a few labeled examples, alleviating the burden of costly annotation in real-world applications. However, it is particularly challenging to learn a class-invariant spatial-temporal representation in such a setting. To address this, we propose a novel matching-based few-shot learning strategy for video sequences in this work. Our main idea is to introduce an implicit temporal alignment for a video pair, capable of estimating the similarity between them in an accurate and robust manner. Moreover, we design an effective context encoding module to incorporate spatial and feature channel context, resulting in better modeling of intra-class variations. To train our model, we develop a multi-task loss for learning video matching, leading to video features with better generalization. Extensive experimental results on two challenging benchmarks, show that our method outperforms the prior arts with a sizable margin on SomethingSomething-V2 and competitive results on Kinetics.
수사구조이론을 활용한 고등학생 논증 텍스트 분석 및 지도 방안: 하위 수준 텍스트를 중심으로

This study aimed to analyze the structure of writing low-level argument text to create an appropriate training guidance plan for lower-level ability students. Thus, we analyzed 26 argument low-level texts centered on the Rhetorical Structure theory to discover semantic structural problems and present guidance measures regarding them. First, the low-level argumentative writing was unclear about the ‘nuclear’ corresponding to the main sentence of a topic, so teachers should teach students to clearly present their position regarding the topic before writing and expressing it in their detailed writing. Second, students with low-level abilities in writing often fail to present their positions ‘consistent’ with argumentative articles. At this time, students should be guided to reveal whether their opposing argument is ‘concession’ or ‘anthesis’. Third, students with lower level skills in writing often present ineffective ‘evidence’ as an argument, so they should be guided to increase their writing’s reliability and validity with objective or specific facts and materials rather than expressing emotional appeals. Fourth, students with low-level writing skills produce work that is significantly lacking in ‘evidence’, so strategies should be offered to generate enough content for it to be evidence. Fifth, if an expression in the writing is found to lose connectivity and sporadically disperses content, instruction on how to identify the central meaning of each paragraph and ensure that there is no overlap in the content should be given. Through this study, we hope that we can contribute to existing teaching methods by understanding how students with low-level skills in argumentative writing organize their texts and presenting guidance measures for teachers to bring about improvement.
Kostka semigroups and generalized Dyck paths

We prove a conjecture of S. Gao-J. Kiers-G. Orelowitz-A. Yong which asserts the reducibility of certain generalized Dyck paths. This gives a strengthening, and new proof, for their Width Bound Theorem on the Hilbert basis of the Kostka semigroup.
A Deep Learning-Based Assistive System to Classify COVID-19 Face Mask for Human Safety with MobileNetV2

Computer vision learning pays off attention due to the global epidemic COVID-19 to improve public safety. Since 2019 there has been a huge human loss cause of COVID-19 and the world is at risk. When it comes to human safety technology has always played a pivotal role to protect earth and its humanity from various calamities. In this era of COVID-19, Wearing masks is a very important thing for further transmission of this deadly virus from one person to another. But many of us are avoiding wearing masks in public places, to overcome this issue we have developed face mask detection software that detects if a person is wearing mask or not. Installing this software module in public places, in work environment and at various crowded areas will ease the surveillance of face detection than manual surveillance by man power. Deep neural networks have always shown highly successful results when it comes to object detection. MOBILENETV2 is one such perfect model to be used in facemask detection. Moreover, face mask detection done by MobileNetV2 is very much better when measuring real-time execution in relation to powerful GPU. And the ability to calculate with low memory MobileNetV2 command it is now possible for us to detect faces in real-time mode. The processing strength with low power memory MobileNetV2 command is acceptable for real-time processing. In our research project we have focused on detecting people with face mask and without facemask in real-time. Under the technical and practical conditions, the complete real-time video data detection is finalized with over-availability, localization, and recognition methods. Test results show normal loss is 0.0730 after training 20 epochs. After training 20 points for epochs MAP is 0.96. This is new unique Method of face masking system visual output with 96% categories and accurate detection.
About one method of evaluating the effectiveness of advertising text

The article considers the method of evaluating the effectiveness of the textual content of the advertising message. The basis of the proposed method is the linguistic principles, in which the effectiveness of the text is analyzed from the view of the decoding of information by the target recipient of the message. Materials used for the study were the texts used in SEO promotion of information resources, the method is based on the approach of breaking the text into keywords and phrases. The method of evaluating the effectiveness of the text is based on an analogue of the method of mechanical verification of the relevance of the text by the search engine, which was expanded by the parameters of expert evaluation of the quality of text construction.
LibGuides: Libraries, Lego, and Learning: STEAM Resources

A resource for librarians developing a building or making program in their public library... Resources for inspiring a STEAM based build.
코로나 19로 인한 비대면 온라인 강의 인식 조사: 대학생의 만족도와 불안도를 중심으로

The outbreak of the coronavirus has dramatically changed the way people live and inevitably transformed the practice of social distancing which has changed the forms and methods of education. The main purpose of this study is to examine the application and operation of non-face-to-face online classes in a university setting during COVID-19. In order to achieve this goal, this paper conducts an in-depth analysis of 255 university students’ perceptions toward satisfaction and anxiety over online learning and new circumstances surrounding online education. The results and suggestions are as follows. The main factors that have a positive influence on students'' satisfaction in an online classroom environment come from the easy access to course content and opportunities for review and the possibility of self-directed learning beyond time and space limitations. Second, in order to increase its effectiveness, both internal efforts to improve the quality of course contents and external support for student and class management have to be (re)considered. Based on the findings from crisis to opportunity, this study suggests the need for careful planning and implementation of new procedures and guidelines for inclusive and resilient online education systems in the aftermath of COVID-19.
Complementary Document Representations for Information Retrieval

In this paper, we present an approach for combining different document representations to support retrieval systems to deliver similar documents from different views.
PENINGKATAN KETERAMPILAN MENULIS PUISI MELALUI MODELPICTURE AND PICTURE PADA SISWA KELAS X MIPA SMA TERPADUAL ISHLAH SOKO – TUBAN TAHUN PELAJARAN 2019/2020

ABSTRACTThis study aims to improve the implementation of learning skills through the pictureand picture model and to improve the value of writing poetry skills through the model pictureand picture in class X MIPA Integrated High School Al Ishlah Soko - Tuban 2019/2020 schoolyear.This research is a Classroom Action Research (CAR) with the subject of the X grade MIPAIntegrated Al Ishlah Soko - Tuban high school students consisting of 16 female students. Thisaction research was carried out in two cycles, each of which had four components, namelyplanning, implementing, observing, and reflecting. Data from observations were obtainedthrough tests, observations, document analysis, field notes, interviews, and documentation.Data collection techniques using observation, interviews, document review, and tests. Dataanalysis techniques used are comparative descriptive techniques. The results showed that in theprocess of an increase in the implementation of learning occurred in several aspects, forexample in aspects of student activeness, the enthusiasm of students in participating in learning,and student attention during learning. Whereas the percentage of classical completenessobtained in each cycle is 25% pre-cycle, 62.5% first cycle, and 87.5% second cycle. Theseresults indicate that the application of the picture and picture model can improve the quality ofthe learning process and improve the poetry writing results of students of class X MIPAIntegrated High School Al Ishlah Soko - Tuban in the academic year 2019/2020Keywords: poetry writing skills, picture and picture
Jurisdiction of the Criminal Courts in Cybercrime Cases in Germany and England

Chapter 5 deals with the jurisdiction of the criminal courts and the applicable criminal law (the ambit of the criminal law) and contrasts the English common law with German law in cybercrime cases, highlighting the similarity of the challenges and the differences in approach of both countries. As a broad rule of thumb, English common law (largely) restricts criminal jurisdiction to the territoriality principle, whereas German law recognizes the active and the passive personality principle, sometimes coupled with the double criminality rule, meaning that the act must be a criminal offence in the place where it was carried out. Notably, German law has codified the universality principle for certain offences, and by so doing exceeds its obligations under international treaties; for example, in respect of child sexual exploitation and abuse materials. Both countries face the same challenges in applying the territoriality principle and connecting cybercrime offences to their respective territories (eg in respect of the question where illegal content online was published). Criminal jurisdiction (subject to specific statutory exceptions) in England has long been confined by the terminatory approach, but has now been reformed by a substantial measure test. Finally, the chapter examines inchoate offences and the specific provisions on jurisdiction contained in the Computer Misuse Act.
DIALECTICS OF FORMING THE AXIOLOGICAL PLATFORM OF THE PERSONALITY IN THE PEDAGOGICAL PROCESS

The process of forming values in the education system takes place in the field of freedom of choice by the subject of the value system which they perceive as being their own and corresponding to their worldview and life priorities. Forming personal values is directly or indirectly influenced by the understanding (and awareness) of a person (a child, pupil or student) of the meaning and role of the values in the process of comparing them with historic realities, the present and vision of the perspectives for development. The latter is formed by culture, education and upbringing. The school plays the primary role in forming the value palette in a personality. Without underestimating the physical and mathematical or natural and geographical cycles of subjects, we note that the current values are formed primarily through the cycle of socio-humanities, the leading among which are literature, philosophy and history. This is where examples of the realization of values of various nature are directly considered, and students draw certain conclusions about the moral or immoral behavior of the character in a piece, patriotic or unpatriotic actions of a historical figure, etc. At the same time, forming the values in the education system cannot occur apart from general social processes and trends, which in turn form a demand for a particular education system and probable influences of hereditary structures, collective unconscious and intellectual, moral, emotional and social development. The purpose of the article is to determine the principles of the axiological platform of the personality in the pedagogical process. The results of the research. Self-development of values in the pedagogical process is one of the ways of forming the personality and an important basis for self-realization and self-actualization of the personality in the social environment. Teaching and self-developing the values in the pedagogical process promotes the development of all subjects and objects of educational activity, increases the degree of their spirituality, and it enriches the means of self-expression.
LibGuides: Grammarly Premium: Home

Grammarly is an intuitive, real-time web-based application that can help you with grammar, writing, style, plagiarism, and tone.