Reviewerly/exHarmony huggingface dataset:
Some Approaches to the Theory of Catastrophe in Valery Podoroga’s Philosophy

The article studies the analysis by V.А. Podoroga of the phenomenon of the catastrophe and its representation in literature, cinema and mass media. It is focused on the concept of “event-catastrophe” by Podoroga and its characteristics, including spectacularity as a feature of a catastrophe of a certain type, represented in the 9/11 terrorist attack, which, in the context of its analysis by Podoroga, can be defined as an “аmerican catastrophe”. Author argued that in Podoroga&amp;apos;s texts on the temporality of totalitarian cultures, this type of catastrophe is opposed to the humanitarian catastrophe that occurred in concentration camps such as Auschwitz or GULAG, which, in contrast to the 9/11 terrorist attack, is so unimaginable and unique that it does not allow it to become a spectacle. The article concludes that, according to Podoroga, only totalitarian catastrophe is assessed as genuine, is a catastrophe in the proper sense of the word: unique and irreversible. Although, according to Podoroga, the circumstances of this catastrophe will always remain unclear and inexplicable, they must be investigated to exclude the possibility of a revival of totalitarianism. Special attention in the article is paid to the attempts of philosophers from Russia and the United States, after the collapse of the USSR, to overcome the cultural gap between the West and the East caused by the “totalitarian pause” and represented as the joint american-soviet catastrophe of the meeting/non-meeting of East and West in the book by S. Buck-Morss Dreamworld and Catastrophe (2002).
WHY CLOSING THE DIGITAL SKILLS GAP REQUIRES FLEXIBLE LEARNING

How are enterprises coping with the need to retain and nurture talent in our new hybrid and remote working world while keeping pace with business and technology? To do both, we first need to close the digital skills gap. In the aftermath of the COVID-19 pandemic and the reality of what economists are calling "The Great Resignation," this is proving harder than ever to do. In this session, the author will discuss why the investment in technical learning and training will help companies build talent from within, all while future-proofing their businesses. The best part? This can be done at any time, from anywhere, on the terms of the individual learner. By rethinking how we engage remote workers, facilitate more intuitive learning pathways, and create opportunities to apply this knowledge, we can create a culture of learning – something today's businesses can't afford to ignore.
Application of Template Matching to OBS array observation in Orca Volcano (Bransfield Strait, Antarctica)

&amp;lt;p&amp;gt;The temporary seismic network deployed from January 2019 to February 2020 in the Bransfield Strait as part of the BRAVOSEIS project has enabled the development of an earthquake catalogue for Orca submarine volcano. A STA/LTA algorithm, manual picking, and the HYPO71 location algorithm with a 1-D model based on previous studies was used to create a catalogue of 4988 earthquakes. The seismicity was characterized by low magnitude events (-1&amp;lt;M&amp;lt;sub&amp;gt;L&amp;lt;/sub&amp;gt;&amp;lt;2.7) occurring mainly in the upper five-kilometers around Orca caldera. Declustering using the Gardner and Knopoff method, reduced the catalogue size by nearly 90%. The declustered catalogue is complete above a magnitude M&amp;lt;sub&amp;gt;L&amp;lt;/sub&amp;gt; of 0.9 and the estimated b-value for the whole period studied is 1.03 +/- 0.18. Because of the noisy the oceanic environments, building the catalogue became an arduous task to perform manually even with a STA/LTA algorithm. Having catalogued such a numerous microseismic events and with the goal of enhancing the catalogue, we apply a super-efficient cross-correlation (SEC-C) method on the continuous network dataset. The effectiveness of SEC-C is soon corroborated by analysing the output of this template matching-based detector. A volcano-tectonic swarm previously catalogued manually between July and August 2019 is clearly identified by the preliminary results of the SEC-C method. The thresholds we imposed for the cross-correlation values and signal-to-noise ratios considered for the workflow from event detection to location were chosen to make the method as &amp;amp;#8216;blind&amp;amp;#8217; as possible. More than six hundred events have been incorporated after the template matching procedure, considerably augmenting the catalogue.&amp;lt;/p&amp;gt;
Taxonomy on Breast Cancer Analysis Using Neural Networks

Breast cancer is a foremost cause of women deaths from the past decades. Early diagnosis and proper treatment can help to cause a drop in the death rates due to this malignancy. In order to provide an appropriate treatment and to decide the nature of the treatment required, the diagnosis must be carried out in a proper way. Neural networks have turn out to be the trend for classifying now-a-days, and their impact can be felt in every field. They also play a vital role in biomedical signal analysis. In this study, we would like to observe the application of neural networks in analyzing the breast cancer. Out of several types of screening tests performed, we have chosen to analyze the works done on mammographs, ultrasound, and Wisconsin dataset and Histopathology images. The performance of several types of networks employed was studied, and it is observed that the input dataset also plays a crucial role on the performance of the network.
Dynamic accommodation is affected after performing an executive function task in mixed reality

Use of mixed reality (MR) displays in education and training have become increasingly commonplace. However, the inherent vergence-accommodation conflict (VAC) causes concern that usage of these technologies may have an effect on vision. We investigated dynamic accommodation in young adults before and after performing an executive function task in MR (Hololens 2). We found large differences in accommodation before and after performing the task for some individuals. We hypothesize that these changes could be an effect of the VAC and that using MR over longer time periods could be disadvantageous for some, while for others it may be increasing flexibility in the vergence-accommodation system. This emphasizes the importance of understanding individual visual characteristics when incorporating virtual displays into education and training.
Belief Revision

This chapter introduces a mechanism to revise the probability distribution that is represented by a graphical model so that it satisfies given frame conditions, for example, given marginal distributions. For this task, pure evidence propagation methods like join tree propagation and bucket elimination are unsuited.
Extracting Groups of Individuals Using Custom-Clusterng

This paper presents a methodology to work on data or how to generate data to be analyzed by the Custom – Clustering algorithm proposed, to obtain groups of individuals or people's behavior on non-accounting opinions or interests, to be used to promote products, sales, advertising, etc. designed and oriented to a certain group of people who can be influenced by their interests. An example is presented discovering different patterns on a topic.
Consider digital badges for your students — and your faculty

Andrea Carroll‐Glover, Ed.D., was planning on moving out of higher education when she received an offer she couldn't refuse: Saint Mary's University of Minnesota offered her the position of Vice Provost of Online Strategy and Programs. It was a perfect marriage of Carroll‐Glover's passions: technology, innovation, and education.
IMPLEMENTATION OF DUAL EDUCATION IN THE CONDITIONS OF SLOVAK EDUCATION

From the school year 2015/2016, students of secondary vocational schools can decide to educate in the system of dual education, which will help them with a better job in the labor market. The dual education system is based on the cooperation of several parties such as students, school, parents and employers. The detailed relationship is enshrined in the apprenticeship contract regulating all the rights and obligations of the contracting parties in the practical teaching of the pupil and the concluded contract between the school and the workplace regulating the scope, conditions and coordination of vocational education with the apprenticeship contract. We can say that it adjusts and harmonizes the conditions of theoretical and practical teaching. Secondary vocational education in Slovakia is marked by changes in implementation, organization and political establishment, especially until 1989, when students learned with a direct connection to companies. Efforts were made to change and return practical training to companies by adopting the National Dual Education Project and increasing the attractiveness and quality of vocational education and training (National Dual Project), which was based on the Development of Secondary Vocational Education until 2015. 2015 is therefore a year of dual system implementation. Dual education is a modern and innovative way of preparing for a future profession directly on the employer's premises. Practical training takes place, in contrast to the traditional school method of teaching, in real conditions in the workplace of practical teaching, which should guarantee a broader, more detailed development of students' skills in accordance with the high demands of the labor market and employers. The paper reflects on the promotion of the need and greater involvement of schools in the dual education system and defines the benefits of such a way of teaching students in real conditions of employers.
Comparison Between PIN and Picture-Based Implementations in Gaze-Based Authentication

Legacy passwords (e.g., PINs, text or graphical passwords) which are compatible with existing server backends, are textual or image based. The type of password may have bearing on the memorability of the password. It has been proven that pictures are more memorable than text, but will the maxim still hold when the pictures in the challenge set have high visual similarity to one another? We consider pictures in comparison to the alternative of the highly familiar Personal Identification Number (PIN). Both these types of password were implemented and tested on a gaze-based authentication platform. Gaze-based systems already reduce the tendency of leakage of information during login and thus it is in this context we consider the need for usability over resistance to shoulder surfing. Two login systems were developed which is the normal PIN number and picture-based password. 27 people participated in the user testing and survey. In both systems, users had 100% login success rate within the three attempts given, and the participants perceived the gaze-based authentication systems positively. However, for the picture-based password, where the pictures in the challenge set had high visual similarity to one another, 33.3% took two attempts while one attempt was sufficient in PIN password for all participants. The time taken was also longer than with the PIN. Feedback also showed that the participants were less positive about the pictures’ memorability. The results show that PINs may be more usable than pictures when the pictures have similar semantic meaning and visual similarity with the pass images. These considerations may inform the design of passwords in gaze-based authentication.
Introducing ASP.NET Core 6

Microsoft released its first ASP.NET framework in 2002 with ASP.NET Webform. The years that followed were rich in developments such as ASP.NET MVC, ASP.NET WebAPI, and SignalR. The framework evolved a little too quickly with new functionalities without changing its core, more precisely the assembly named System.Web. Very quickly, new challenges appeared, such as performance, the possibility of running ASP.NET on servers other than IIS, increasing its affinity with the cloud to significantly facilitate its deployment, and greatly improving its configuration by making it more flexible. ASP.NET Core is born! ASP.NET Core is even designed to support containerization such as Docker.
Zero-photon subtraction: a useful tool for quantum communication

The process of single-photon subtraction --essentially an implementation of the annihilation operator-- is known to be a useful tool for manipulating quantum optical states. Somewhat surprisingly, subtracting zero photons can also alter the properties of certain quantum states, and forms the bases of a noiseless attenuation process that is useful for quantum communication. Here we review our recent experimental work in this area, which uses parametric down-conversion sources and heralding signals based on the active detection of zero photons.
The Role of Total Quality Management Practices in Improving Service Recovery Performance through Service Innovation in Jordan’s Five-Star Hotels

Although the importance of Total Quality Management (TQM) practices in improving hotel service performance is well known since it is a key to achieving service excellence, the role of TQM practices in improving service recovery performance through service innovation in service businesses has remained a relatively untapped research field. Thus, the purpose of the current study is to investigate the impacts of TQM practices on service recovery, as well as the mediating role of service innovation between TQM and service recovery. This study used a quantitative survey method, with data collected from a sample of 414 staff working at Jordan's five-star hotels using a questionnaire. The results indicated a significant positive effect of TQM on service innovation and service recovery, and that service innovation fully mediates the relationship between TQM and service recovery. The current study presents an innovative approach since it is one of the first and few research papers that provide empirical evidence for the mediating effect of service innovation between TQM and service recovery. This study contributes to the existing literature by examining the roles of TQM and service innovation in increasing service recovery performance, and it helps practitioners understand how TQM practices support service innovation and the latter’s role in improving service recovery performance.
COMPUTATIONAL THINKING INTEGRATED INTO PRIMARY ENGLISH LESSONS IN CHINA IN PRACTICE

X. Li1, J. van Braak1, M. Valcke1, G. Sang2 1Ghent University (BELGIUM) 2Beijing Normal University (CHINA)
MANAGEMENT OF EDUCATIONAL CHANGE AND HUMAN RESOURCE DEVELOPMENT IN EDUCATION: CONTEMPORARY TRENDS BASED ON DEFINITIONS OF PEDAGOGICAL TERMS

Information about the paper titled "MANAGEMENT OF EDUCATIONAL CHANGE AND HUMAN RESOURCE DEVELOPMENT IN EDUCATION: CONTEMPORARY TRENDS BASED ON DEFINITIONS OF PEDAGOGICAL TERMS" at IATED Digital Library
Nonlinear quantum interferometer in the time and frequency domains

Interferometers are highly sensitive to phase differences and are utilized in numerous schemes. Quantum interferometers are able to improve the sensitivity of classical interferometers beyond the shot-noise limit. This is done by employing squeezed states of light and destructive interference of the noise in the system. We developed a quantum SU(1,1) interferometer in the time domain. Our nonlinear quantum interferometer creates interference of the input signals at different times and frequencies. We can control the time and frequency differences for investigating the full temporal and spectral structure of the signal. This quantum interferometer can be utilized for sensing ultrafast phase changes, quantum imaging, temporal mode encoding, and studying the temporal structure of entangled photons.
Advanced Analytics with Spark Stateful Structured Streaming

In the last chapter, you learned to use Apache Spark’s powerful aggregation and analytics functions, from the agg operator that enabled powerful columnar aggregation capabilities directly off a grouped dataset, to the analytical window functions that allowed you to partition and analyze datasets using these unique windowing capabilities. This gave you the ability to look back (lag) or forward (lead) across many rows from your current position in an iteration. You learned to use lag over to create row-by-row average deltas and similar techniques to create running cumulative totals.
Geology, mineralization, and alteration of B prospect of the epithermal Au-Ag deposit in central Thailand: A study on Chatree&amp;#8217;s peripheral deposit for further gold exploration.

&amp;lt;p&amp;gt;The B prospect is located at the southeast of the Chatree gold-silver deposit. The mineralization is hosted in the Late Permian-Early Triassic Chatree volcanic sequence consisting of volcaniclastic and volcanogenic-sedimentary rocks ranging in composition from basaltic andesite to rhyolite. At the study area, the total thickness of volcanic succession is about 300 meters, and the succession can be divided into three main stratigraphic units from bottom to top, namely, 1) porphyritic andesite unit (Unit 3), 2) polymictic intermediate breccia unit (Unit 2), and 3) volcanogenic sedimentary unit (Unit 1). The ore zones are mainly confined to polymictic intermediate breccia and volcanogenic sedimentary units (Units 1 and 2). At least three stages of mineralization have been identified, namely 1) quartz -pyrite (Stage 1), 2) quartz-chlorite-calcite-sulfides-electrum (Stage 2) and 3) quartz-calcite (stage 3) veins/veinlets. Gold occurs chiefly in Stage 2 mineralization which is characterized by typical vein textures of low sulfidation epithermal deposit (e.g., crustiform, colloform banding, comb textures). Pyrite is a primary sulfide mineral with minor sphalerite, chalcopyrite, and galena. Gold occurs as electrum with fineness ranging from 506 to 632 ppm. The hydrothermal alteration at B prospect is composed of two main types: 1) quartz-adularia (silicic alteration) assemblage close to ore zone, and 2) adularia-quartz-illite-calcite-chlorite (phyllic alteration) assemblage distal to ore zone. Based on characteristics of mineral assemblages, textures, and alterations the mineralization at B prospect can be classified as a low sulfidation epithermal gold-silver style deposit.&amp;amp;#160;&amp;lt;/p&amp;gt;
Taking Your Data with You

Chapter 6, “Taking Your Data with You: Singapore’s Approach to Data Portability,” authored by Zee Kin Yeong, Deputy Commissioner of Singapore’s Personal Data Protection Commission, and David Roi Hardoon, Senior Advisor of the Union Bank of the Philippines, provides an overview of Singapore’s recently announced regulatory regime on data portability. Many authorities view open banking as a means to increase competition among and with banks and to decrease stickiness of bank deposits. However, bank deposits will remain sticky if customers cannot easily port their personal account information to other sectors beyond financial institutions. Yeong and Hardoon expound on the challenges and opportunities offered by data portability and offer lessons learned to date.
Sentiments Analysis and Text Summarization of Medicine Reviews Using Deep Sequential Iterative Model with Attention Encoder

In this day and age of data innovation, vast amounts of data are being generated daily, much of it is useless to the general public unless it is correctly handled. This year has seen a huge increase in social networks’ relevance, resulting in vast quantities of data provided by users. This vast amount of information is gathered from a variety of sources, including company websites, customer blogs, and item reviews. The text outline is probably the most significant point of view in daily life. Analysis of text sentiment is a method for assessing, summarising, and drawing conclusions about the most important content. In the field of sentiment analysis, attention methods have been crucial since they make use of sentiment lexicons to gather a huge amount of sentiment polarity information. With an attention mechanism that acts as a link between linguistic information with a strong emotional component and deep learning algorithms, it may be possible to boost text sentiment significantly. In the LSTM model, word sequence addictions can be captured over the long term. For the first time, scientists have developed an attention model that combines LSTM with an incredibly deep RNN model to tackle the problem of sentiment analysis in the real world. The iterative method trains the first set of word embeddings using a Word to Vector technique. With the Word2Vec algorithm, text strings are converted into a numerical value vector and distance between words and comparative words based on meaning are calculated. Using the attention strategy has the added benefit of potentially enhancing machine learning’s ability to learn sentiment representations. The attention model is more scalable and adaptable than previous approaches. The major objective of this work is to assess feelings and develop an abstracted content outline, decide on the semantic summarization of different materials and effectively process the data.
Research on a fast infrared dim small targets detection and tracking method combining pipeline filter and kernelized correlation filter

To solve the problem that infrared dim small targets are difficult to be detected and tracked under complex background,this paper proposes a method based on the fusion of Pipeline Filter and Kernelized Correlation Filter.First, preprocess the obtained image sequence to reduce the influence of complex background on target detection; then, detect dim small infrared moving targets based on Background Prediction and Pipeline Filter;Finally,track the targets by Kernelized Correlation Filter which is initialized by the obtained detection information.To deal with the interference caused by the lens moving, the target position is predicted in the process of targets tracking.The algorithm is verified by the constructed infrared dim target data set. The results show that the proposed algorithm has better robustness and realtime performance, and the tracking effect is obvious.
Efficient interfacing of GHz and MHz bandwidth single-photon pulses

We experimentally demonstrate efficient reduction of heralded telecom single-photon spectral bandwidth by a factor exceeding 220, from 130 GHz to below 550 MHz. The transformation is achieved in an all-fiber setup using dispersive stretching and complex electro-optic phase modulation. The approach is deterministic and results in a 27-fold increase in photon detection probability at the target wavelength. Combined with system transmission of 40% the interface enables increasing the single-photon flux into a spectrally narrowband absorber by a factor of 11. Our approach may enable efficient interfacing matter-based quantum systems with high-rate quantum communication channels and pulsed entangled photon pair sources.