Reviewerly/exHarmony huggingface dataset:
Verb phrases, particles, and adjuncts

This chapter provides an analysis of the c-structure and f-structure of the verb phrase in Barayin. Verb phrases are left-headed. The verb can be followed by a direct object and an indirect object. The only words that can occur between a verb and its direct object are three post-verbal enclitics. Adjuncts and locatives (including goal and source arguments) occur following the verb phrase in alternating order. This means that locative arguments cannot be analyzed as part of the verb phrase, resulting in non-standard structure-function association. At the end of the chapter, the XLE implementation of the verb phrase analysis is introduced.
Training in Formative Assessment and Use of Mobile Applications for High School Teachers as a Community Service Activity of the Department of Medical Education, Faculty of Medicine, Universitas Hasanuddin

The digital revolution had transformed human life in many ways, including the way people learn. It affected students who are very dependent on mobile devices, social media, and mobile applications. These transformations demanded teachers to also transform. Teachers needed to embrace the technology and integrate it into their learning strategies. The Department of Medical Education of the Faculty of Medicine of Universitas Hasanuddin (FMUH) received a grant for a community service project from the faculty. This study describes training aimed at equipping high school teachers with the capability of using several mobile applications, including Google Forms, Quizizz, and Anki flashcards. The FMUH yearly intake was almost 300 students per year which were mostly high school fresh graduates in Indonesia. As the teachers of our future students, we considered the need for technology use in promoting teachers’ competence. Therefore, as our community service project, we held a one-day training for high school teachers which focused on the use of various mobile applications in formative assessment. At the end of our training, we elicited our participants’ evaluation using a Likert-scale questionnaire and open-ended questions. The responses were analyzed using statistical and descriptive analysis. This training involved 79 teachers and the evaluation form was filled out by 55 participants. The analysis showed that all respondents agreed that the training was able to increase their competence in using mobile applications for formative assessment. They pointed out the importance of this training in increasing the quality of education. This training was considered very useful in increasing high school teachers’ competence in formative assessment as well as in digital learning. This type of training was proposed to be frequently conducted.
Integrating geophysical, geochemical, petrological and geological data for the thermal and rheological characterization of unconventional geothermal fields: the case study of Long Valley Caldera

&amp;lt;p&amp;gt;We propose a novel multidisciplinary approach to image the thermo-rheological stratification beneath active volcanic areas, such as Long Valley Caldera (LVC), which hosts a magmatic-hydrothermal system. Geothermal facilities near the Casa Diablo locality supply 40 MWe from three binary power plants, exploiting about 850 kg s&amp;lt;sup&amp;gt;&amp;amp;#8722;1&amp;lt;/sup&amp;gt; of 160&amp;amp;#8211;180 &amp;amp;#176;C water that circulates within the volcanic sediments 200 to 350 meters deep. We performed a thermal fluid dynamic model via optimization procedure of the thermal conditions of the crust. We characterize the topology of the hot magmatic bodies and the hot fluid circulation (the permeable fault-zones), using both a novel imaging of the &amp;lt;em&amp;gt;a&amp;lt;/em&amp;gt; and &amp;lt;em&amp;gt;b&amp;lt;/em&amp;gt; parameters of the Gutenberg-Richter law and an innovative procedure analysis of P-wave tomographic models. The optimization procedure provides the permeability of a reservoir (5.0 &amp;amp;#215; 10&amp;lt;sup&amp;gt;&amp;amp;#8722;14&amp;lt;/sup&amp;gt; m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;) and of the fault-zone (5.0 &amp;amp;#183; 10&amp;amp;#8722;14 &amp;amp;#8211; 1.0 &amp;amp;#215; 10&amp;lt;sup&amp;gt;&amp;amp;#8722;13&amp;lt;/sup&amp;gt; m&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;), as well as the temperature of the magma body (750&amp;amp;#8211;800&amp;amp;#176;C). The imaging of the rheological properties of the crust indicates that the brittle/ductile transition occurs about 5 km b.s.l. depth, beneath the resurgent dome. There are again deeper brittle conditions about 15 km b.s.l., agreeing with the previous observations. The comparison between the conductive and the conductive-convective heat transfer models highlights that the deeper fluid circulation efficiently cools the volumes above the magmatic body, transferring the heat to the shallow geothermal system. This process has a significant impact on the rheological properties of the upper crust as the migration of the B/D transition. Our findings show an active magmatic system (6&amp;amp;#8211;10 km deep) and confirm that LVC is a long-life silicic caldera system. Furthermore, the occurrence of deep-seated, super-hot geothermal resources 4.5 &amp;amp;#8211; 5.0 km deep, possibly in supercritical conditions, cannot be ruled out.&amp;lt;/p&amp;gt;
Automatic Detection and Location method of Tremor signals: A case study from East Java, Indonesia.

&amp;lt;p&amp;gt;Mount Bromo is an andesitic stratovolcano in East Java, Indonesia, that entered into unrest between November 2015 and January 2016. The seismic activity was captured by the permanent seismic stations of the Indonesian seismological service (BMKG) and by a temporary (GIPP-provided) network deployed in the framework of the LusiLab Erc project. The goal of the temporary network deployed was to study the seismic signature of the newborn sediment-hosted geothermal system nicknamed LUSI. A preliminar inspection of the dataset showed that the activity of Bromo may have been recorded by stations of the temporary network. To investigate this further, we attempt an automatic detection and location of the impulsive and emergent signals recorded during Bromo&amp;amp;#8217;s eruption. We use the Recursive STA/LTA on each component of the stations and apply a coincidence trigger to adjust the pickings aside with a first-arrival validation through a polarization analysis. A total of 32.787 events were detected, and some of these are consistent with variations in the eruptive activity observed at Mt. Bromo. The accepted locations (RMS &amp;amp;#8804; 1; 3.965 events) revealed multiple superficial sources, concentrated between 0 and 5 Km depth, originating from Mt. Bromo and 4 other main volcanic structures located in the surrounding region. Other sources were localized at greater depth, between 10 to 50 Km, and are attributed mainly to interactions between the magmatic chambers of the volcanoes, and movements in pre-existing sutures zones (faults) from overpressure of magmatic activity. Chronologically, a peak preceding the main eruption was found, characterized by an increase in Volcano-Tectonic-type (VT) signals beneath Mt. Bromo. This is consistent with other cases observed at similar strombolian-type volcanoes prior to eruptions. After an assessment of the automatic processing procedure used, we suggest improvements for future works by: 1) applying an association method based on the same principle as the coincidence trigger used in the detection step, and 2) using the polarization analysis in a sliding window along the event signal to re-pick the first-arrivals.&amp;lt;/p&amp;gt;
An Overview on the Female Characters of Malavikagnimitra

Indian culture considers Sanskrit as “Devabhasha”(language of God). It was the dominant language of Indian writings. Kalidasa is the greatest Sanskrit poet. His all compositions are immortal. He shows a new path to the world literature. Kalidasa was a great scholar and he showed his genius through his works. His compositions show his knowledge on the Vedas, the Puranas, the Ramayana, the Mahabharata, the Alamkarashastra, the Vyakarana, Philosophy etc. In the drama Malavikagnimitra also the poet very beautifully delineated the female characters. This is about the love story of Malavika,princess of Vidarbha and Agnimitra, the King of Vidisaha. The heroine of the nataka is princess of Vidarbha, Malavika. Queen Dharini is the symbol of ideal Indian woman. She is very chest woman. She can understand the fickle minded king Agnimitra. Iravati is a beautiful woman. She is a conceited beloved. On Malavika, she is very jealous. Because of jealousy, She scolds Vidusaka and Malavika’s friend. She becomes very upset when she sees that king is charmed by Malavika. Madhavasena’s minister Arya Sumati’s sister is Panditakausiki.When her brother lost his life in the hands of dacoits, she feels very sad and becomes a ‘sanyasi’. In this article we are going to discuss about the female characters of Malavikagnimitra.
The Effect of Perceptual Loss for Video Super-Resolution

Intensity-based loss which measures pixel-wise difference is commonly used for most of the learning-based super-resolution approaches. Since the error of different components has disparate impacts on human visual system, the structural error which calculates the error of the perceptually influential components is proposed for the loss function of the video super-resolution. The proposed loss function is presented based on the JPEG compression algorithm and the effect of using quantization matrix on resultant output. The proposed loss function can be employed instead of the traditional MSE loss function. In this paper, we explored the effect of using this perceptual loss for VESPCN method. The experimental results illustrate better outputs in terms of average PSNR, average SSIM, and VQM.
Peculiarities of formation of culture of distance learning

The purpose of this article. Become familiarized with the perception of the new cultural phenomenon of “distance learning” by participants in the educational process and determine what are the trends in their behavior in the new conditions of distance education.&#x0D; The methodology. The methodological basis includes systematic and comparative approaches, as well as analysis of the results of the survey of participants in the educational process of the “Angström” Lyceum of Distance Education.&#x0D; The results. Features of formation of distance learning, distribution and institutionalization of distance form of education are considered. The study of the learning process gives new approaches to understanding this phenomenon as a holistic full-fledged educational process that meets the needs of students and the conditions of development of modern society. It is proposed to analyze the activities of distance education institutions in two types of culture: the field of application of IT technologies in the traditional format of education and IT as products in its form and content. The results of the survey show the achievements and attitudes of applicants to the proposed educational technologies. The following directions of researches are offered: perception by consumers of distance education and change of their lifestyle, values, norms of behavior, culture of communication; emergence and organization of resource methodological centers to ensure and implement distance learning; achievements, prospects for the development of distance education and the consequences for the state of the whole industry. The study concludes that the concept of distance learning is perceived as a full-fledged form of education. The authors suggest that distance learning may become one of the leading forms of learning for Ukrainian society.&#x0D; The scientific novelty. An attempt is made to mark out a new interpretation of the phenomenon of “distance learning” from the point of view of the consumer and new conditions for the development of society. The results are analyzed and the conclusions of the research of the opinion of the participants of the educational process of the distance education institution are summarized.&#x0D; The practical significance. The key results of this study can be used by researchers and the administration of educational institutions, which are responsible for the organization of distance learning, as well as for further improvement of research activities in the field of education.
Ontological databases with faceted queries

Abstract The success of the use of ontology-based systems depends on efficient and user-friendly methods of formulating queries against the ontology. We propose a method to query a class of ontologies, called facet ontologies ( fac-ontologies ), using a faceted human-oriented approach. A fac-ontology has two important features: (a) a hierarchical view of it can be defined as a nested facet over this ontology and the view can be used as a faceted interface to create queries and to explore the ontology; (b) the ontology can be converted into an ontological database , the ABox of which is stored in a database, and the faceted queries are evaluated against this database. We show that the proposed faceted interface makes it possible to formulate queries that are semantically equivalent to $${\mathcal {SROIQ}}^{Fac}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>SROIQ</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>Fac</mml:mi> </mml:mrow> </mml:msup> </mml:math> , a limited version of the $${\mathcal {SROIQ}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>SROIQ</mml:mi> </mml:math> description logic. The TBox of a fac-ontology is divided into a set of rules defining intensional predicates and a set of constraint rules to be satisfied by the database. We identify a class of so-called reflexive weak cycles in a set of constraint rules and propose a method to deal with them in the chase procedure. The considerations are illustrated with solutions implemented in the DAFO system ( data access based on faceted queries over ontologies ).
Customer Service Enhancement in Banking Field using IoT Technologies

Customer service is one of the highest priorities in the banking field. Each year, banks globally allocate approximately 20% of their revenues to innovate and protect their information system. During the coronavirus period, Moroccan banks have faced difficulties serving their customers, which led to the development of a bad relationship between the two sides and negatively affected the financial performance of banks. The Moroccan customers want to have 24/7 access to their banking services on their phones, on the web at home, and in physical branches. Even if digital banking applications have helped to provide options and to ease access to various banking services, many Moroccans who are less technologically engaged prefer in-person banking at the agency, which sometimes leads to overcrowded agencies. It has become necessary for the banks to propose new solutions to serve their customers while reducing the risk of COVID-19 virus transmission. We will present a solution based on the Internet of Things (IoT) technology in order to gain customer satisfaction by minimizing long wait times, reducing the number of people at the agency, reducing close interactions while managing a safe, smooth, and effective customer service.
Broadband Dynamic Rupture and Ground Motion Simulations (up to 5 Hz) of the 2016 Mw 6.2 Amatrice, Italy Earthquake

&amp;lt;p&amp;gt;Broadband earthquake ground motion simulations (&amp;gt;1 Hz) are of great interest to seismologists and the earthquake engineering community. The evolution of the earthquake ruptures related to the 2016 Mw 6.2 Amatrice earthquake and the uniquely dense seismological recordings provide an opportunity to understand better the processes controlling earthquake dynamics, strong ground motion, and the relation between earthquakes. We here propose a novel approach to design data-driven broadband (up to 5 Hz) dynamic rupture scenarios from 0.5-1 Hz Bayesian dynamic finite-fault inversion (Gallovi&amp;amp;#269; et al., 2019). We analyze the effects of enhancing the best-fitting smooth dynamic source inversion result by subsequent adding of complexity such as non-planar fault geometry (i.e., fault listricity and surface roughness), topography, inelastic off-fault rheology, and visco-elastic attenuation. We utilize the open-source software package SeisSol (www.seissol.org), suited explicitly for incorporating such geometrical complexities and high-resolution simulations performed on modern supercomputers. The obtained scenarios reproduce synthetics resembling the observations in terms of velocity and accelerations waveforms and Fourier-amplitude-spectra (FAS) up to 5 Hz. The simulated peak ground velocity (PGV) maps show de-amplification of ground motion amplitudes on the foot-wall and amplification on the hanging-wall as a consequence of the wave-focusing effect caused by the listric fault curvature. This effect is seen mainly for distances up to 10 km from the fault. Our study suggests that the complexity of the earthquake source should not be neglected for the seismic hazard assessment for regions adjacent to active faults.&amp;lt;/p&amp;gt;
Unsupervised person re‐identification by part‐compensated soft multi‐label learning

Most existing re-ID models are developed based on supervised learning, which relies on plenty of manually labelled pairwise data for training. However, in many practical applications, such deep re-ID models are not scalable because of lacking sufficient annotated data. To address this problem, the superiority of unsupervised person re-ID methods have been reported and become more popular recently. In this paper, an unsupervised framework based on part-compensated soft multi-label learning is presented, which aims to explore the potential label information for unlabelled persons through mining both global and part level visual features. This re-ID framework is mainly composed of global clustering, part clustering and multi-label assignment. During clustering process, the results of part-level clustering are compensated into global clustering, allowing the network to learn more detailed information of pedestrians. Meanwhile, fuzzy clustering is used to generate soft multi-labels instead of commonly used single-label clustering. To further optimize the model, a cross-domain excitation parameter is introduced to relieve the background interference arising in the inter-domain view intersection. The proposed approach is evaluated on three public datasets, including Market-1501, DukeMTMC-reID, and MSMT17. Extensive experiments are carried out and this network can outperform the state-of-the-art unsupervised re-ID models.
IoMT data security approach

The advancement in Information and Communications Technology (ICT) has changed the entire paradigm of computing. Because of such advancement, we have new types of computing and communication environments, for example, Internet of Things (IoT) that is a collection of smart IoT devices. The Internet of Medical Things (IoMT) is a specific type of IoT communication environment, which deals with communication through the smart healthcare (medical) devices. Though the IoT communication environment facilitates and supports our day-to-day activities, at the same time it also has certain drawbacks, as it suffers from several security and privacy issues, such as replay, man-in-the-middle, impersonation, privileged-insider, remote hijacking, password guessing, and denial of service (DoS) attacks. These attacks lead to attacks on confidentiality, integrity, authenticity, and availability of the data and other resources of the system. In the presence of such attacks, the sensitive data of IoT communication may be disclosed, altered, or even may not be available to the authorized users. Therefore, it becomes essential to protect the IoT/IoMT environment from such types of attacks. In this chapter, we first study various types of attacks and their symptoms. We also discuss some architectures of the IoT environment, along with their applications. Next, taxonomy of security protocols and blockchain in the IoT environment are explored. We conduct a comparative study on various existing schemes for the attacks and prevention in the IoT environment. Finally, some future research challenges and directions of malware detection in IoT/IoMT environment are highlighted.
Two-stream deep representation for human action recognition

Human action recognition has received a lot of attention in computer vision community given its interest in many real applications. In this paper, we proposed a new method for human action recognition based on deep learning methods. The main contribution of the proposed method is an efficient combination of two Convolutional neural networks. The two-stream framework allows to fully utilize the rich multimodal information in videos. In fact, we explored the complementarity between appearance information and motion information to represent human actions. Specifically, we suggested a spatial Convolutional Neural Network performed on still individual images to model spatial information. To exploit motion between frames, a second Convolutional Neural Network is processed on accumulated optical flow images obtained by stacking the optical flow estimations between consecutive frames in a single image. Then, a fusion score is performed between the two Convolutional Neural Networks to achieve the appropriate class. In order to prove the performance of our method, we trained and evaluated our architecture on a standard human actions benchmark, the Weizmann dataset.