An optimal video summarization of surveillance systems using LFOB-COA with deep features and RBLSTM

The visual data attained from surveillance single-camera or multi-view camera networks is exponentially increasing every day. Identifying the important shots in the presented video which faithfully signify the original video is the major task in video summarization. For executing efficient video summarization of the surveillance systems, optimization algorithm like LFOB-COA is proposed in this paper. Data collection, pre-processing, deep feature extraction (FE), shot segmentation JSFCM, classification using Rectified Linear Unit activated BLSTM, and LFOB-COA are the proposed method’s five steps. Finally a post-processing step is utilized. For recognizing the proposed method’s effectiveness, the results are then contrasted with the existent methods.

Analysis of Employee’s Working Capacity in Children’s City Outpatient’s Clinic №133 of Moscow City Health Department after COVID-19

The issues of long-lasting violations of physical and mental health among employees of Children’s City Outpatient’s Clinic №133 of Moscow City Health Department after COVID-19, as well as they effect on work quality and efficacy, and in some cases loss of any interest to work got us thinking about the features of post-COVID-19 syndrome and and forced us to analyze the prevalence and duration of various symptoms in employees. The protocol for this observational study was approved by the Moscow City Independent Ethics Committee. Developed questionnaires with questions both on the course of COVID-19 and on the postcovid period have fully revealed the picture of psychological, cognitive and asthenovegetative disorders in employees. Healthcare professionals of our clinic were interested in studying this issue as many symptoms of the disease have significantly affected the working capacity of several people. The study involved 68 volunteers. Interesting data and correlations were obtained and they have confirmed the fact of cognitive and memory decline in some employees of Children’s City Outpatient’s Clinic №133 who underwent COVID-19 and the effect of these disorders on working capacity. Study results have shown that 47.5% of doctors and 50% of nurses feel disability of varying degrees after COVID-19. The major task of the head of the facility in such situation is to implement long, comprehensive and effective rehabilitation for employees in order to maintain the capacity of medical workers.

Systemic Evolutionary Chemical Space Exploration For Drug Discovery

Chemical space exploration is a major task of the hit-finding process during the pursuit of novel chemical entities. Compared with other screening technologies, computational de novo design has become a popular approach to overcome the limitation of current chemical libraries. Here, we reported a de novo design platform named systemic evolutionary chemical space explorer (SECSE). The platform was conceptually inspired by fragment-based drug design, that miniaturized a “lego-building” process within the pocket of a certain target. The key of virtual hits generation was then turned into a computational search problem. To enhance search and optimization, human intelligence and deep learning were integrated. Application of SECSE against PHGDH, proved its potential in finding novel and diverse small molecules that are attractive starting points for further validation. This platform is open-sourced and the code is available at http://github.com/KeenThera/SECSE.

Automatic inspection and analysis of digital waveform images by means of convolutional neural networks

Analyzing seismic data to get information about earthquakes has always been a major task for seismologists and, more in general, for geophysicists. Recently, thanks to the technological development of observation systems, more and more data are available to perform such tasks. However, this data “grow up” makes “human possibility” of data processing more complex in terms of required efforts and time demanding. That is why new technological approaches such as artificial intelligence are becoming very popular and more and more exploited. In this paper, we explore the possibility of interpreting seismic waveform segments by means of pre-trained deep learning. More specifically, we apply convolutional networks to seismological waveforms recorded at local or regional distances without any pre-elaboration or filtering. We show that such an approach can be very successful in determining if an earthquake is “included” in the seismic wave image and in estimating the distance between the earthquake epicenter and the recording station.

Towards a new narrative on successful ageing

The major task of this closing chapter is to strive for reconciliation between the very divergent positions and perspectives on successful ageing that have been outlined in this book. The building blocks enabling at least partial reconciliation are the emphasis of the need for pluralism in conceptual reasoning on the notion of successful ageing; the insistence that one must be aware of the full implications of choosing any particular model of successful ageing; and the claim that the discourse on successful ageing can only, to a limited extent, be driven by empirical data. Instead, illuminating the underlying normative conceptions of what it means to enjoy a good life in old age is key to arrive at a more holistic picture of successful ageing that comes with heuristic utility. At the same time, visions of the good life in old age need further elaboration, but remaining ambivalences seem unavoidable.

Lagged Covariance and Cross-Covariance Operators of Processes in Cartesian Products of Abstract Hilbert Spaces

A major task in Functional Time Series Analysis is measuring the dependence within and between processes, for which lagged covariance and cross-covariance operators have proven to be a practical tool in well-established spaces. This article deduces estimators and asymptotic upper bounds of the estimation errors for lagged covariance and cross-covariance operators of processes in Cartesian products of abstract Hilbert spaces for fixed and increasing lag and Cartesian powers. We allow the processes to be non-centered, and to have values in different spaces when investigating the dependence between processes. Also, we discuss features of estimators for the principle components of our covariance operators.

Ontology-Based Approach of E-government for Interoperability

There is a need for the exchange and sharing of knowledge between the department of government in the e-government system. Therefore, this paper ‘Ontology-Based Approach of E-government’ will discuss the scope of interoperability. With the e-government ontology, there will be proper semantics by using web ontology language (OWL) which helps to give clearer relation and semantics. To have an ontology, knowledge management is important and architecture/framework design is essential. The development of the e-government system is to serve citizens and organizations. However, e-government systems with heterogeneous database and distributed in nature have made difficult to integrate or interoperate. Therefore, developing a knowledge base (KB) is the major task that e-government focuses on. With KB definition and description, it will ensure clarity about e-government services. Knowledge management is important for e-government and the use of ontology is an effective way in semantic technologies. This ontology will enhance the processing of services and data between different departments in government. This kind of ontology will give a common understanding of knowledge and interoperability between the different departments of government. It will also offer effective and efficient value towards the e-government services by which citizens will be benefitted eventually.

Importance of Communication in Succession Planning – A Critical Analysis of an Australian City Council

Australia’s demographics are going through structural and cultural impediments, and massive changes are starting to occur in the following five years. The baby boomers’ generation is in the process of retiring. The major task which consumes most of the time was to extract knowledge from the baby boomers. Moreover, it involves identifying and evaluating knowledge from critical employees and will leave the establishment sooner. Succession planning mostly involves employees, which are about to depart the organization in the short term, and new skilled employees will engage in the function. Effective succession planning requires affirmative responses regarding the department’s organizational culture, functionality, goals and objectives, and relationship with the stakeholders and vision. To deliver high-quality succession planning, it is indispensable to deliver a robust Successor-Incumbent relationship, mutual reliance, open and sincere communication. Therefore, this paper emphasizes the strategic plan for succession planning and explains how critical it is to have clear, trustable, and authentic communication between the successor and the Incumbent.

Lagged Covariance and Cross-Covariance Operators of Processes in Cartesian Products of Abstract Hilbert Spaces

A major task in Functional Time Series Analysis is measuring the dependence within and between processes, for which lagged covariance and cross-covariance operators have proven to be a practical tool in well-established spaces. This article deduces estimators and asymptotic upper bounds of the estimation errors for lagged covariance and cross-covariance operators of processes in Cartesian products of abstract Hilbert spaces for fixed and increasing lag and Cartesian powers. We allow the processes to be non-centered, and to have values in different spaces when investigating the dependence between processes. Also, we discuss features of estimators for the principle components of our covariance operators.

MENTAL CATHARSIS IN CHILD THEATER PERFORMANCES

In the twenties of the twentieth century there appeared a tendency declaring that art has a major task is to cleansing reality from everything that seems strange to it. But this proposition took another characteristic of the German director and writer (Berthold Brecht) after he initiated a revolution that declared its rejection of the previous concepts of theater and Aristotelian drama in the introduction of alienation in his theatrical doctrine, which was later called (dialectical theater), This is a shift towards another concept of purification that goes beyond the emotion towards addressing the mind and changing ideas, so Brecht has a different function to theater, which is to change and reject the miserable and revolutionary reality. In child theater performances, the research problem was formed in the following question: What are the representations of mental cleansing in child theater performances? As for the objectives of the research, it is represented by (revealing the concept of mental cleansing, and revealing representations of mental cleansing in child theater performances). The current research was determined by child theater performances in Iraq for the period from (2010-2020) that take mental cleansing as its goal. As for the second chapter, it focused on three axes. The first was philosophical mental cleansing, while the second axis was concerned with the philosophical foundations of the Barkhati approach, while the third axis focused From the theoretical framework on the Westernization of Berthold Brecht. As for the third chapter, it was clarified that the researcher adopted the descriptive approach (the method of content analysis) being more appropriate to the current study procedures, which dealt with the research community represented by the presentations that were made for the period between (2009-2018) in Baghdad, which reached (16) theatrical performances. After the sample was randomly selected by lot, it was (a little chalk circle) play. After analyzing the sample, the results of the research were extracted, which are responsible for answering the objectives of the research and the extent of their achievement. The first goal was achieved through what was reviewed in the theoretical framework and what was extracted from it. As for the second goal, which aims to reveal the representations of mental cleansing in theatrical performances directed at the child, it was achieved after analyzing the selected sample, and the results appeared as follows: 1. All child theater performances that follow the Brachitic approach aim at mental cleansing. 2. Mental cleansing occurs in child theater performances when the following methods are employed that keep the child mind attentive and critical, including: First / at the level of the text 1. Using the heritage and being inspired by it as a theatrical template for contemporary events through the style of history, and not committing to a Space-time through this history. 2. The necessity of the presence of the narrator who tries to break the hierarchy of events by narrating and commenting on some events, as well as employing songs and music that differ from the general atmosphere of the event. Second / at the level of the show 1. Using the scene through symbolic, not realistic, signs to keep the actor away from any reincarnation that casts its shadow on the audience through theatrical infection. 2. Not to adhere to the timing of lighting. 3. Using shadow imaginations or movies and pictures in conveying the event. 4. Westernization of performance by leaving space between the character and the actor