Reviewerly/exHarmony huggingface dataset:
Well-Posed State/Signal Systems

In this chapter, we study well-posed s/s systems. By definition, a s/s system is well-posed if it has at least one well-posed i/s/o representation (and then usually infinitely many wellposed i/s/o representations). The results presented here are analogous to the corresponding well-posed i/s/o results in Chapter 14, and most of the proofs consist of showing how to reduce a particular well-posed s/s result to the corresponding well-posed i/s/o result. In the well-posed i/s/o setting, we can interpret a well-posed i/s/o system as a realization of a continuous linear causal shift-invariant exponentially bounded operator. In the well-posed s/s setting, we can instead interpret a well-posed s/s system as a realization of a well-posed future, past, or two-sided behavior. Each one of these behaviors determine, the other two uniquely. Two well-posed s/s systems are externally equivalent if and only if they have the same well-posed behaviors. At the end of this chapter, we define the notion of a passive state/signal system and show that passive state/signal systems are well-posed. A passive state/signal system is characterized by the fact that it is regular, and its generating subspace is a maximally nonnegative subspace of the Kreĭn node space.
The Art and Science of Microphones and Other Transducers

Often real-time sonic productions use combinations of organic natural sounds that are specifically captured to enhance and support the production. Sometimes these sounds are altered and manufactured into something that does not resemble the original. For example, the sound of an amplified guitar is sculpted through an amplifier and frequently uses effects for sonic enhancement, but usually the final sound is captured from the amplifier speaker by a microphone. Undeniably each process contributes to a unique tone that a guitarist searches for. Creative sound production can use similar techniques and I am suggesting that sound production for immersive audio is a combination of capture plus creation and modification.
Classification of Models of Networks of LTI Systems

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Reflector-guided localisation of occult breast lesions: A prospective evaluation of the SAVI SCOUT® system

Introduction: Wire-guided localisation (WGL) has been the mainstay for localising non-palpable breast lesions before excision. Due to its limitations, various wireless alternatives have been developed.
‘The Inventions Exhibition: The Miranda Pianista’

In the musical section of the exhibition one of the most novel inventions is the ‘Miranda Pianista’. It is an apparatus for the mechanical playing of all key-board instruments, such as the piano, organ, &c. The inventors are Messrs. Bishop & Down, and there is no doubt they have hit upon an idea which will be practically useful. It would be an interesting calculation for a member of the Statistical Society to determine how many pianos there are which are never played, simply because there is no one sufficiently skilful to produce good music from them. They become, in many households, simply articles of furniture. The purpose of the ‘Miranda Pianista’ is to remedy this state of things. It is a handsome case, about 3 feet high and 4 feet broad, from the back of which projects a number of fingers or levers corresponding to the keys of a piano or organ. This is placed in front of the instrument to be played, the levers resting upon the keys. Music in the form of perforated sheets of cardboard is then put into the pianista. On turning the handle, the levers are brought smartly down upon the keys in the same way as the fingers of the player would be, and the music-sheet gradually moves forward. In this way anyone entirely unskilled as a musician can play the piano or organ rather more efficiently than a great majority of those who have undergone several courses of music lessons. The expression of piano or forte is produced by moving a small lever with the left hand. The pedals of the pianoforte can also be extended, and carried through to the front of the pianista, so that they are also under the control of the player. The mechanical arrangement within the invention, by which the striking-levers are worked, is of greater simplicity than one would at first sight suppose. It consists chiefly of bellows and an air-reservoir. A pressure is exerted which, when certain points come under the perforation in the music-card, is released, and thus made to move the fingers. The music is supplied quite as cheaply as ordinary music, and is already in great variety. Among the special times when such an apparatus would be useful must be classed dancing parties and balls, where the trouble of playing would be relegated to the servant. In the colonies especially the invention should be favourably received. The class there with leisure to study and practise musical instruments is naturally smaller than at home, and such an invention as this, there is no doubt, would be heartily welcomed in many a colonist’s home.
Hate, humor and bystander reactions: Danish adolescent reactions to hateful political memes

Most people recognize hateful content that is followed by a swastika or an IS flag. However, hateful content is often embedded in seemingly innocent humorous memes making it harder for bystanders to recognize and decode. In this article, we examine how Danish adolescents assess hateful memes and how these assessments shape their intention to intervene pro-socially by reporting hateful content and anti-socially by sharing and liking hateful content. Furthermore, the article tests predictors of pro-social and anti-social reactions to hateful content on social media across gender, political interest, as well as legal and violent political activism intentions. The article draws on an electronic survey among 814 Danish primary and secondary school students.
Research on control system of soil and water conservation based on geographic information system

With the continuous development of society, China pays more and more attention to the protection of ecological environment. Taking an area in the Pearl River Delta as an example, this paper researches soil and water conservation control methods based on Geographic Information System (GIS) and computer application technology, designs and develops a soil and water conservation control system. The system realizes the control of the whole process and cycle of soil and water conservation prevention and control by means of information technology, which is conducive to the relevant government departments to understand the situation of soil and water erosion of the projects under construction in the area in time and make scientific decisions accordingly, effectively promoting the process of information technology of soil and water conservation prevention and control in some areas of the Pearl River Delta, reducing the amount of soil and water erosion in some areas of the Pearl River Delta to a large extent, and providing experience and reference for soil and water conservation prevention and control in other regions of China. It also provides experience for other regions in China to learn from.
Mastering and Distributing Immersive Sound

As a broadcast sound designer, I’ve spent my career trying to figure out how to achieve the perfect live broadcast sound mix and distribute it to the consumer. But the fact is that no matter how good the mix is, it’s going to sound different from one home viewer to the next.
AN ALGORITHM FOR CONSTRUCTING ASSOCIATIVE SERIES OF HASHTAGS FOR SEMANTIC NAVIGATION IN SOCIAL NETWORKS

Nowadays hashtags are an important mechanism of semantic navigation in social media. In this study, we consider the solution of the problem of building associative series of hashtags for one of the largest social networks. These series should meet two criteria: they should be short and shouldn’t have wide semantic gaps between sequential hashtags. An algorithm that allows us to create an associative series of hashtags could be used to increase the quantity of hashtags in posts, which will facilitate semantic navigation through posts in a social network. The paper proposes a formal definition of the semantic path building problem as a multicriteria optimization problem on the co-occurrence network of hashtags in posts. First, we built a co-occurrence network for hashtags from a big dataset of messages from Instagram. Then, we develop a combined optimization function for both criteria from the semantic path building problem. For measuring semantic similarity between hashtags, we use a metric based on the word2vec embeddings of hashtags. Using empirical paths obtained with various algorithms, we tune the parameters of a generalized optimization function that can be used to construct semantic paths using Dijkstra’s pathfinding or special greedy algorithms.
Computing generalizations of temporal <i>εL</i> concepts with next and global

In ontology-based applications, the authoring of complex concepts or queries written in a description logic (DL) is a difficult task. An established approach to generate complex expressions from examples provided a user, is the bottom-up approach. This approach employs two inferences: the most specific concept (MSC), which generalizes an ABox individual into a concept and the least common subsumer (LCS), which generalizes a collection of concepts into a single concept. In ontology-based situation recognition the situation to be recognized is formalized by a DL query using temporal operators and that is to answered over a sequence of ABoxes. Now, while the bottom-up approach is well-investigated for the DL EL, there are so far no methods for temporalized DLs.
Research on event capture method for network security testbed based on trusted execution environment

In the network security test environment, due to the destructive nature of network adversarial behavior and uncontrollable boundaries and other characteristics, it is easy to lead to security risks in the event capture process. A real-time and secure event capture method for network security tests is an effective guarantee of the authority of the exercise results, and is also a pressing challenge for the key applications of network security tests. To this end, the article investigates the event capture technology for network security tests in a trusted execution environment, and designs a secure and efficient event capture method based on SGX technology, Elastic Stack technology stack and virtualization technology tools to ensure the authenticity and confidentiality of the original data in the network security test environment, which can realize the secure and The method enables secure and efficient capture of virtual host behavior logs in the test environment.
Design of an online teaching and research communication APP based on computer algorithms

Cell phones have become an essential part of daily life, and users have a strong demand and dependence on them, while the online and offline synergy also provides a good platform and environment for teaching and research activities. Therefore, the online real-time database system in the field of education has been improved, and its main function is to collect and manage data such as student information and teachers' teaching situation. Based on the computer algorithm, this project develops an easy-to-use and convenient APP based on cell phone terminals, and describes in detail the development method of the communication module of the APP. The APP designed in this paper can help teachers not to worry about the time they spend on uploading data after work, and at the same time, it can keep students updated with the latest information and school status, and improve the stickiness and satisfaction of teachers and students.
Demonstration exam as a form of state final certification for programs of secondary vocational education

The demonstration exam has become a new type of certifi cation procedures that are included in the state fi nal certifi cation of secondary vocational education programs with the introduction of a new format of educational standards in the Russian Federation. Conducting certifi cation using the mechanism of a demonstration exam involves a variety of types of certifi cation, including: taking into account the experience of WorldSkills, in accordance with the requirements of professional standards, taking into account the requirements of corporate standards of employers. In 2021, the Tikhoretsky Technical School of Railway Transport, a branch of the Rostov State University of Railways, gained experience in conducting state fi nal certifi cation in the specialty 38.02.01 Economics and Accounting (by industry) in the form of a demonstration exam according to WorldSkills standards in the competence R41 "Accounting". TTZHT is a branch of the RSUPS, one of the fi rst technical schools included in the structure of the FGBOU IN the RSUPS, which conducted the GIA in the form of a demonstration exam. In the process of preparing for the demo exam, in accordance with the requirements of the set of evaluation documentation, an examination platform (CPDE) was prepared and accredited, an electronic certifi cate of the CPDE was obtained, representatives of enterprises were trained for experts. The expert group included certifi ed experts, specialists of the Federal Treasury Department for the Krasnodar Territory and the Department of State Statistics in the city of Tikhoretsk. After the successful completion of the demonstration exam procedure, all participants received a Passport of Competencies. Based on the experience of conducting GIA in the form of a demonstration exam, taking into account the advantages and disadvantages of the new form of GIA, the college continues to equip specialized sites for conducting a demonstration exam on the WorldSkills model in other specialties. The implementation of new requirements of educational standards, the development of the expert community, the interaction of educational organizations brings changes to the system of secondary vocational education and sets the pace of its development.
Evolving convolution neural networks using particle swarm optimization for image classification

The design of an efficient and compact convolutional neural network (CNN) for image classification is a very challenging problem, and its design process relies heavily on the experience of experts and continuous trial and error. This paper proposed a search method based on variable scale convolutional neural network by comprehensively considering the convolutional layer, pooling layer, fully-connection layer, and activation function in CNN. In this method, a search space is designed, and the categories of search parameters are maximized. At the same time, a particle swarm variable length coding mapping method is proposed to solve the problem of coding redundancy of candidate networks. In order to effectively evaluate the performance of candidate networks, the evaluation method of the random dataset is adopted to reduce the evaluation time of CNN and improve the stability of training. The proposed search model is compared with many empirical design models and other search methods in four image classification tasks. The experimental results show that the proposed method has strong advantages and competitiveness in classification accuracy and model size compared with the existing methods.
Blockchain Technological Transformation from a Centralized into a Decentralized Ecosystem: BlockCity Is Rising

Blockchain technology has been considered more seriously in the 21st century than ever for some time till eventually it was flourished through evolution of IoT, or Internet of Things, and the first well defined cryptocurrency, namely Bitcoin. Unlike what most people link blockchain technology to cryptocurrency, blockchain technology is applicable to many businesses, commerce, insurance, banking, healthcare industry, etc., as well as cryptocurrency. Bitcoin’s extension into the 21st century’s monetary system was - and will continue to be - remembered as a historical turning point of the medium of exchange, store of value, and unit of account, among other desirable properties of money. The authors in this research paper, given their extensive exposure to both related research sources, activities, and MIT’s Intensive Executive Management Program on Blockchain Technology, and most importantly their recent partnership with 369 Smart Chain’s BlockCity, are incentivized to provide more clarity to the global community as to this rapidly emerging platform in the world. The authors have concluded that the blockchain technology is another revolution inside the capitalistic ecosystem for imposing its powerful forces in the conversion of centralized businesses into somewhat more decentralized, where competition and efficiency would be more established than otherwise. There will be more reliable information, permanently stored on electronic ledgers, connected to nodes merged with those already accessible through the blockchain platform, operated by entrepreneurs, such as BlockCity, just as an example.
Real-time atmospheric effects on sound propagation for a simulated outdoor concert

Outdoor live sound is best controlled at the sound source; computer simulation tools are available to estimate impact of concerts on nearby communities using methods such as NORD 2000, ISO 9613-2, and CNOSSOS. These methods utilize generalized temperature gradients and wind speed profiles up to 100 m and can be useful and somewhat accurate up to 3 miles, after which higher level atmospheric effects takeover. This paper will provide some examples of long rang propagation due to higher level atmospheric effects, compare 3 mile radius modeling to real-time measurements and examine some of the fluctuations over a 2-h simulated concert with changing weather conditions and programming.
Brain Storm Optimization for Multiple Sequence Alignment problem

Brain Storm Optimization (BSO) is one of the most effective swarm intelligence methods for finding optimality in optimization problems by simulating the human brainstorming process.The BSO approach has been effectively used to a wide range of employed in several real-world issues.This study focuses on the use of a hybrid approach in conjunction with the idea of self-organization for multiple sequence alignment (MSA) problems.The term "self-organization" refers to a structure that operates without the need for external intervention.To demonstrate the efficacy of the algorithm, we applied BSO to MSA and evaluated the resulting alignment using the sum-of-pair score (SPS).The efficiency of BSO was evaluated using Benchmark Alignment Database (BAliBASE) reference multiple sequence alignments.The BSO method outperformed some other metaheuristic methods and achieves better alignments than existing MSA techniques.
Methodology of formation of cognitive independence of students

The task of Russian education today is the preparation of a highly qualifi ed specialist who is competent not only in the professional fi eld of activity, but also in related fi elds. He must also be an active, enterprising and independent person, ready for lifelong learning. This is important, since the success in the career of each person largely depends on his ability and desire for self-development and self-improvement. The problems of the formation of the cognitive independence of the student at the present stage of the development of society are investigated, the necessity and relevance of cognitive independence for the student is substantiated. The defi nitions of the concepts of “cognitive independence”, “self-education” are presented. Motives, forms of formation of independence are described, possible results of the formation of cognitive independence are indicated. The potential for self-education is considered as a leading and eff ective means of forming the cognitive readiness of a future specialist for professional activity. An attempt is made to name all the stages of the formation and development of the skill of the student’s cognitive independence. The stages of formation of readiness for professional self-education, components of educational strategies of self-education are singled out. The most important component of social and emotional learning is self-regulation. Self-regulation is the ability to control attention, thoughts and emotions. The conclusion is made about the need to form this skill in modern realities.
Water Quality Assessment and Heavy Metal Contamination Awareness

Water is essential for all forms of life. There is a measure that is used to monitor the quality of the water called water quality. This study will show the awareness of the quality and the health of the water before starting with preliminary studies. The heavy metal awareness will bring about more understanding and ease to the public about the water bodies near their housing area. One of the benefits of the study is to ensure the water in the dams and lakes is clean and clear. The main aim of the study is to raise awareness about water quality and heavy metal pollution in dams and lakes in areas. The questionnaire was collected using an online platform. The survey form consisted of a list of questions specific to water quality and heavy metal pollution in dams and lakes. Using the PEST management analysis (Political, Environmental, Social and Technological) method to analyse and categorize the survey and how the factors affect the way of living. The social aspect of the results sums up the activities, lifestyles, cultural preference, rural-urban movement. Figures in the analysis section show most people go to the lakes and dams around them for walks. The environmental aspect deals with the influence of heavy metals and poor water quality in the lakes and dams. Most people had very limited resources for it and to sum up the topic, major awareness of water quality and heavy metal pollution was needed.
A cross-national comparison of curricula in China and the US in terms of cognitive complexity: The case of one dimensional equation

The holistic level of conceptual understanding and teaching have been an issue of national concern in China.To describe the results of years of improvement in Chinese textbooks, this research examined the California textbook named Algebra1(A1) and Chinese textbooks of people's edition(C1) and Zhejiang edition(C2).This study refers to Webb's depth of knowledge framework and Son and Senk's cognitive expectation feature, which is used to examine the level and kind of problems presented in the three textbooks.Referring to the breadth of cognitive complexity, C1 and C2 focus more on the cultivation of students' way of thinking and logic, and A1 prefers letting students to perform an algorithm.Besides, referring to the depth of cognitive complexity, A1 is more challenging than C2, but less challenging than C1.Finally, we discuss the inspiration of these results for teachers, students, related researchers and material developers.
Sentimental Analysis Using Twitter Data

Online media are becoming extra attention those days. Public and personal evaluation on a extensive collection of topics are communicated and unfold always by diverse on line media. Twitter is one of the on line media this is obtaining prominence. Twitter gives association’s short and compelling method to research clients' viewpoints closer to the primary to accomplishment within side the industrial Centre. Building up a software for belief research is a manner to cope with be applied to computationally degree clients' insights. This paper investigates the plan of a end examination, setting apart a massive degree of tweets. Prototyping is applied on this flip of events. Results set up clients' factor of view thru tweets into fantastic and negative, that is addressed in a pie define and html page. Nonetheless, this system has desired to create on an internet utility framework, but due to restrict of Django which may be bartered with a Linux employee or LAMP, for added this system ought to be finished.