Reviewerly/exHarmony huggingface dataset:
Short-term SSEs in the Kanto region, central Japan using GNSS data for a quarter century

&amp;lt;p&amp;gt;The Kanto region, central Japan situated in the complex tectonic region where two oceanic plates subducts from the Japan trench and Sagami trough. Although many previous studies clarified repeated Mw~6.6 Slow Slip Events (SSEs) with a duration of a week in an offshore region of the Boso Peninsula along the Sagami trough, the number of the detected SSEs are limited and overall activity of SSEs have not been fully understood in these regions. We, here, applied our SSE detection in these regions to the whole available GNSS dataset for a quarter century spanning from 1994 to 2019 and clarify the relation between SSE and tremor distribution.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We use daily coordinates at 291 GNSS stations using a precise point positioning strategy of the GIPSY 6.4 software. We apply the method of Nishimura et al. (2013) and Nishimura (2014) to detect a jump associated with short-term SSEs in GNSS time-series and estimate their fault models from observed displacements. A rectangular fault on the Philippine Sea or the Pacific plates is assumed for each SSE. The stacking of GNSS time-series based on the displacement predicted by the fault model [Miyaoka and Yokota, 2012] enable us to estimate duration of SSEs.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;amp;#160;We detected &amp;amp;#8805; 150 possible SSEs along both the Japan trench and Sagami trough but we here focus on SSEs along the southernmost part of the Japan trench. Total slip distribution of the detected possible SSEs shows that large slip (&amp;amp;#8805; 0.3 m) is limited near the trench. A comparison with low-frequency tremors (LFTs) along the Japan trench (Nishikawa et al., 2019) suggests SSEs occur in the same depth range (10-20 km) of LFTs but their distribution is rather complimentary whereas a minor tremor activity exists at the edge of the SSE total slip. This complimentary distribution is contrast to overlapping distribution of SSEs and LFTs observed in a deep episodic and tremor region in the other subduction zones including southwest Japan. Another distinctive feature is that SSEs continuously occur from the trench to a depth of ~60 km only at ~ 35.5&amp;amp;#186;N. Because the subducted seamounts locate at this latitude, geometry of plate interface may control a genesis of SSEs in these regions.&amp;lt;/p&amp;gt;
PEDAGOGICAL SYNERGETICS AS A COMPONENT OF PERSON-CENTERED LEARNING IN A MODERN SCHOOL

The prospects of the development of a modern school are mainly determined by the peculiarities of educational technologies available to teachers. Orientation towards the development of a child’s personality requires of schools the transition to the technologies based on the integration of traditional and innovative methods of teaching. The relevance of the study in the sphere of pedagogical synergy carried out by the author is determined by the unconditional need of society in the formation of an open education system and the willingness of teaching communities to work in the format relevant to the challenges of modern society. The paper considers the issue of formation of new approaches to the person-centered education, proves the reasonability of integration of traditional educational technologies and methods of social simulation through playing, focuses on the synergy of the interaction of diverse methods, which ensures high results of the educational process and opens for practicing teachers the unique possibilities of self-fulfillment and self-improvement. The author carried out the study in several directions: a systems analysis of the concepts of a personality-oriented approach to teaching and upbringing; defining the role and place of innovative educational technologies within the system of modern education; identifying the essence of a synergistic approach to pedagogical activity, and identifying the features of modeling and designing of pedagogical activity based on the idea of self-organization. The author carried out sociological research aimed at identifying the attitude of the participants of the educational process to the application of new teaching methods. The study revealed a positive attitude of the educational process participants to the idea of integration of teaching methods of different classes.
Significance of surveillance in COVID-19 pandemic and adoption of innovative strategies for its strengthening

The Corona Virus Disease 2019 (COVID-19) pandemic has spread rapidly across the globe and has impacted each and every community directly or indirectly. Amidst the various components which require strengthening for the successful containment, surveillance is a critical aspect and it significantly aids in reducing the spread of the infection by empowering the public health authorities with the right information. Acknowledging the importance of surveillance, the need of the hour is to strengthen surveillance through adoption of digital technologies which aid in the rapid reporting & data analysis, and even expand in regions with lesser number of cases. In conclusion, surveillance is an integral component of the preparedness and emergency response against the COVID-19 pandemic. It is the need of the hour to adopt innovative strategies to ensure that surveillance is strengthened and we succeed in obtaining comprehensive information about the disease and its spread in the community.
Lung Cancer Diagnosis from CT Images Based on Local Energy Based Shape Histogram (LESH) Feature Extration and Pre-processing

Lung cancer as of now is one of the dreaded diseases and it is destroying humanity never before. The mechanism of detecting the lung cancer will bring the level down of mortality and increase the life expectancy accuracy 13% from the detected cancer diagnosis from 24% of all cancer deaths. Although various methods are adopted to find the cancer, still there is a scope for improvement and the CT images are still preferred to find if there is any cancer in the body. The medical images are always a better one to find with the cancer in the human body. The proposed idea is, how we can improve the quality of the diagnosis form using pre-processing methods and Local energy shape histogram to improve the quality of the images. The deep learning methods are imported to find the varied results from the training process and finally to analyse the result. Medical examination is always part of our research and this result is always verified by the technicians. Major pre-processing techniques are used in this research work and they are discussed in this paper. The LESH technique is used to get better result in this research work and we will discuss how the image manipulation can be done to achieve better results from the CT images through various image processing methods. The construction of the proposed method will include smoothing of the images with median filters, enhancement of the image and finally segmentation of the images with LESH techniques.
Automated Summarization Evaluation (ASE) Using Natural Language Processing Tools.

Summarization is an effective strategy to promote and enhance learning and deep comprehension of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation of students’ summaries requires time and effort. This problem has led to the development of automated models of summarization quality. However, these models often rely on features derived from expert ratings of student summarizations of specific source texts and are therefore not generalizable to summarizations of new texts. Further, many of the models rely of proprietary tools that are not freely or publicly available, rendering replications difficult. In this study, we introduce an automated summarization evaluation (ASE) model that depends strictly on features of the source text or the summary, allowing for a purely text-based model of quality. This model effectively classifies summaries as either low or high quality with an accuracy above 80%. Importantly, the model was developed on a large number of source texts allowing for generalizability across texts. Further, the features used in this study are freely and publicly available affording replication.
Leveraging Variables and Collections

To finish the basics of learning Power Apps, you must also know how to deal with variables and collections. Variables allow you to store a value or set of values in the application memory. Collections allow you to store tables of rows and columns in memory to be worked on locally. Both of these help you get around delegation warnings in many cases.
Aspetti della Subordinazione a verbo non finito nella Vulgata1

Summary This paper aims at describing some of the main structural and functional characteristics of two subordinate patterns, namely infinitive clauses governed by verba dicendi et sentiendi (i.e. the so-called Accusativus cum Infinitivo ) and participial clauses, as they occur in the Vulgate . The characteristics of the use of the Accusativus cum Infinitivo will be interpreted within the context of the uses of this structure in other Latin texts written in different periods. In particular, and in the framework of a functional-typologi- cal approach, we will investigate word-order phenomena.
Teacher of the Future: Monitoring of Scientific Potential College Teachers

In modern socio-economic conditions, advanced training of personnel, in particular mid-level specialists, as the leading subjects in the structure of effective production, becomes relevant. High-quality teaching activities in professional educational organizations (colleges) can be carried out by teachers who have developed scientific literacy, which largely determines the scientific potential of the teacher. The scientific potential of teachers can be improved by harmonizing the structure of the teacher's personality and the structure of his professional educational activities.
L'applicazione delle disruptive technology (DLT, blockchain, smart contract e token) alla gestione del rischio epidemiologico

The work proposes the implementation of blockchain technology to encourage contrast to the spread of Covid-19 The need to overcome the lockdown phase and, at the same time, put in place useful tools to avoid the recurrence of widespread infections, obliges to use already existing and consolidated technologies, which allow, in the urgency of the decisions to be taken, to make compatible the recovery of the social and economic life, protection of individual rights and freedoms The proposal aims to digitize, streamline, deburocratise, speed up, improve procedures and processes aimed at easy and non-intrusive certification of “non-infected” subjects Copyright © FrancoAngeli
Decision Making with “Gray Swan” events

“Gray Swan” has been defined by Nassim Taleb as a rare and highly consequential event that, unlike absolutely unforeseen Black Swan events, can be expected. This paper describes an approach to designing a decision support system, which monitors uncertain and ambiguous dynamic environments characterized by both regular and Gray Swan events. It is capable of producing probable explanations of the situations, identifying asymmetric threats, and acting to prevent catastrophic consequences or mitigate their impact while operating under resource and time constraints. The proposed system incorporates decision makers' attitudes toward risk and uncertainty while considering regular and Gray swan events characterized by uncertain catastrophic outcomes. Use case results are presented.
An attempt to reconstruct central and eastern Iranian ophiolite puzzle

&amp;lt;p&amp;gt;Iran is a mosaic of continental blocks that are surrounded by Palaeo-Tethyan and Neo-Tethyan oceanic relics. Remnants of the ophiolitic rock assemblages are exposed around the Central Iranian Microcontinent (CIM), discretely along the Sanandaj-Sirjan Zone and in Jaz-Murian. The Present-day &amp;amp;#8220;ring&amp;amp;#8221; distribution of the Iranian ophiolites is not straightforwardly explained by a simple subduction zone architecture. One of the key features to solve the Iranian puzzle is the CIM which is surrounded by Sabzevar ophiolites in the north (99-77 Ma), Birjand-Nehbandan ophiolites in the east (~110 Ma) and Inner Zagros ophiolites in south-southwest (~103-94 Ma). The CIM consists of three major fault bounded sub-blocks, from east to west, Lut, Tabas, and Yazd. They represent an Atlantic-type continental margin that began rifting in Permo-Triassic as a result of opening of Neotethys Ocean. Subsequent convergence in Cretaceous to Paleogene time close the ocean basins around the CIM and emplaced the ophiolites onto the passive margins. Neogene Arabia-Eurasia collision induced replacement structures e.g., strike&amp;amp;#8208;slip reactivation of normal faults that were associated with major block rotations.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We aim to kinematically restore the opening and closure history of the ocean basins found as ophiolitic relics around the CIM. Key in our analysis is the Doruneh and Great Kavir faults of Central Iran that continues into northern Afghanistan as the Herat Fault. Present-day GPS velocity vector measurements and deformation pattern show a NE-SW orientated shortening in Iran. Structural analysis of the Doruneh Fault indicates slip sense inversion before ~5 Ma. This observation is consistent with the deactivation of the dextral Herat Fault. Pre-Pliocene dextral movement in excess of 500 km along the Doruneh and Great Kavir faults may kinematically accommodate a major counter-clockwise rotation (~65&amp;lt;span&amp;gt;o&amp;lt;/span&amp;gt;) of the CIM since the late Jurassic that has been inferred based on previous palaeomagnetic studies. This enables the transport of the Jandaq ophiolite from Aghdarband in the north to Anarak region of Central Iran and, duplication of curved Birjand-Nehbandan ophiolites in Sistan suture. If correct, this may imply that the closure history of the Central Iranian basins is directly connected to the large-scale Cretaceous to Paleogene extrusion tectonics in western Tibet and Hindu Kush regions. This preliminary study shows restoration of the post-Mesozoic deformation is essential to reconstruct the suture zones and pre-collisional setting in Iran, Afghanistan, and Pakistan.&amp;lt;/p&amp;gt;
HOW NON-NATIVE EARLY CHILDHOOD LEARN ENGLISH (A DESCRIPTIVE STUDY ON A GROUP OF SUNDANESE EARLY CHILDHOOD IN CIJEUNGJING SUB-DISTRICT, CIAMIS REGENCY, WEST JAVA – INDONESIA)

Learning English for non-native early childhood is not easy (Hashemi & Azizinezhad, 2011), it includes in Indonesia notably in Ciamis Regency, West Java. It needs the appropriate methods, techniques and materials to help the non-native early childhood ease learning English. This study aims to report what appropriate method, technique, and material applied to teach English to non-native Sundanese early childhood in Ciamis regency, West Java Province. This study was carried out to a group of six non-native Sundanese early childhood. Afterwards, the writers set forth a research question: What appropriate method, technique, and material applied to teach English to non-native Sundanese early childhood? To answer the research question, the writers employed a desriptive study as suggested by Wragg (1999) and Fraenkel, Wallen, and Hyun (2012) at which they observed the process of teaching and learning English towards non-native Sundanese early childhood during September 2018 - February 2019. The results showed that the appropriate method applied in teaching English to non-native Sundanese early childhood was the Audio-Lingual Method (ALM). Meanwhile, the appropriate technique applied in teaching English to non-native Sundanese early childhood was drilling. In addition, the appropriate material applied in teaching English to non-native Sundanese early childhood was video such as BLIPPI. To sum up, through employing the appropriate method, technique, and material, the non-native Sundanese early childhood feel enjoyed and excited in learning English listening and conversation.
K-Partition Ensemble Multi-label Classifier for Insurance Purchase Prediction

Individual insurance purchase prediction can help effectively and accurately advertise to maximize sales. Most current insurance purchase prediction model only considers whether a customer will buy certain insurance. In this way, the prediction will be time-consuming with the rapid growth of the number of insurance products. In order to provide more effective and efficient marketing methods for insurance companies, this work proposes a K-Partition Ensemble Multi-Label classification model to predict the customerâ€™s possible future insurance purchase. First, by transforming the insurance purchase prediction problem into a multi-label classification problem, the balance between features and labels of data division in the insurance purchasing dataset is explored. Second, a k-partition ensemble multi-label classification model is introduced, where each distinct label constitutes in the training set as a new category of a single-label classification task, and the random forest is used for multi-class classification. The empirical test is carried out using the Insurance Company Case data from CoIL Challenge 2000. We find prediction classifiers perform the best when the number of labels is around 20. Empirical evidence indicates that our model manages to improve substantially over other 3 classical multi-label classification algorithms with relatively little time, especially in domains with a large number of labels. The research results also provide a new idea and useful reference for the application in specific fields construction of data models based on the multi-label evaluation.
Self-calibration method using the orientation- and scale-covariant features in planar scene

A self-calibration method for camera using two views of unknown-structure planar scene is introduced. The planar scene is common in the environment and can be easily identifiable outside the lab. Firstly, two orientation- and scale-covariant features, which can be provided by the SIFT feature detector, is used to estimate the homography of two views. Then the homography is decomposed into the camera parameters. A RANSAC scheme is adapted to cope with the outliers of SIFT correspondences. Finally, the camera parameters are optimized with a non-linear parameter optimization using the inliers of two views. This method calibrates the camera parameters and recovers the planar scenes simultaneously. Real scene data experiment demonstrates that the proposed method is easy to operate and provides the reliable calibration results for non-expert users.
Use of digital technologies in interprofessional education: experience of PET-Saúde Interprofissionalidade

Objective: To treat an experience report on the use of digital technologies, by a tutorial group from PET-Saude Interprofessionality, during the pandemic period. Method: As a method, communication platforms, WhatsApp and social networks were prioritized for discussion, construction and dissemination of the podcast on interprofessionality in the context of the pandemic. Results: This whole process occurred based on a script that was collectively built, discussed, adapted, answered and revised, with the distribution of tasks among the members of the tutorial group, and based on the guiding principles of this digital technology and the principles of interprofessional education. Conclusion: The use of podcast as digital technology proved to be a powerful tool for the production and dissemination of knowledge, allowing the continuity of the dynamics of interprofessional work even in a pandemic scenario.
DOUBLE COMPRESSED AMR AUDIO DETECTION USING LINEAR PREDICTION COEFFICIENTS AND SUPPORT VECTOR MACHINE

The adaptive multirate codec (AMR) standard usage has been intensive in mobile networks as well as a speech stor-age format. Due to its high availability, many AMR audio files take on a forensic evidence condition, which implies the need to demonstrate they are authentic. Detecting AMR double compression means that, in the multimedia forensics context, the file is not an original one and a tampering likely happened, since it is always necessary to decode and encode again to change utterance meaning. In this paper, we show a new method to detect AMR double compression based on compressed-domain linear predic-tion (LP) coefficient extraction, statistical feature computation from LP coefficients and SVM application. The experiments demonstrate the proposed method can discriminate double compressed AMR files from single compressed files with satisfactory accuracy, either using mixed first compression bitrate sets, or fixed first compression bitrate ones. Using the TIMIT corpus, the average accuracy reached 93.66 %, which is a very satisfactory result.
Securing J2EE SOA Enterprise Applications with a Pattern-Based Approach

Security is a key issue in SOA J2EE applications. The literature and a considerable number of frameworks address security issues for this type of enterprise application. However, there are two significant problems in this body of knowledge: (i) it is hard to find an architectural approach for dealing with security threats to SOA J2EE applications; and, (ii) technologies are constantly changing, making it is difficult to have an abstract view of the problems that are solved using specific technologies. The Core Security Patterns (CSP) catalogue solves both problems because it provides a comprehensive architectural solution to J2EE security issues and abstracts specific security technologies into security patterns. However, the CSP pattern catalogue is huge (more than 1,000 pages) and there are three significant challenges to understanding it completely: (i) the integration of the CSP security patterns and the Core J2EE Patterns (CJP) for the software architecture of SOA J2EE applications is not evident; (ii) the high abstraction level of the CSP patterns, in some cases, obscures the security problems that the patterns solve; and (iii) the implementation of the CSP patterns involves the configuration of complex security frameworks, adding a layer of complexity to securing a J2EE application using a pattern-based approach. To address these issues, we have developed a SOA multitier application based on the patterns described in the CJP catalogue, and we have secured it by implementing the patterns described in the CSP catalogue. This paper describes the work carried out during these developments. The main goal was to relate the CSP patterns with: (i) CJP patterns; (ii) the security concerns that the CSP patterns address; and (iii) the present security frameworks. As a result of this paper, we expect the inclusion of security elements in SOA enterprise applications to be easier for software architects and developers. Finally, four main conclusions can be drawn from our study: (i) security is an orthogonal aspect for SOA multitier development; (ii) implementation of security patterns relies heavily on security frameworks, with the configuration of security frameworks thus becoming one of the most complex issues when securing J2EE SOA multitier applications; (iii) no J2EE application servers are needed to deploy secure J2EE SOA enterprise applications; and (iv) whether or not applications servers are used, security-related implementations are closely tied to the application container and frameworks used for SOA implementation.