Reviewerly/exHarmony huggingface dataset:
The Role of the Virtual City in Urban Development

The virtual reality of cities is the current historical period of urban progress and a kind of interconnected co-activity between innovative virtual elements, elements of the city and its urban parts according to the affected relationships of social, financial, cultural, spatial, political and local features. Where contemporary concepts of virtual reality were presented by the philosophical corps without clarifying their role comprehensively in the urban development processes of cities, so the research aimed to determine the roles of the ideas of the virtual world and the virtual city in the work of both specialists and decision makers, and the urban development processes of traditional and historical cities, where the research information methodology compares theoretical architectural and urban models to intersect with the basic concepts related to the virtual city, the research reached multi-level roles in terms of impact and degrees of complexity, which contribute to an innovative reproduction of urban development processes.
Study on Memory Function of Stroke Patients under Exercise Relearning Based on DWI Image Analysis Based on Optimized Registration Algorithm

Objective. This paper uses an optimized registration algorithm to analyze the diffusion-weighted imaging (DWI) scan parameters of acute ischemic stroke (AIS) in the memory function of stroke patients under exercise relearning (MRP). Methods. This study used a random case-control study. 65 patients with stroke and hemiplegia were randomly divided into a control group: conventional rehabilitation intervention (32 cases), and a treatment group: MRP (33 cases). Each patient uses 4 parameters for DWI examination and obtains 4 sets of images, group 1 is the control sequence, group 2 uses parallel acquisition technology, group 3 uses parallel acquisition technology and reduces the number of excitations, group 4 uses parallel acquisition technology to reduce repetition time (TR) and echo time (TE) and enlarge the field of view, and the scan time of each group is 177, 81, 23, and 18 s in sequence. At the time of enrollment and after 12 weeks of treatment, patients in each group were evaluated with Fugl-Meyer motor function score (FMA) and modified Pap index (MBI) for hand and wrist motor function and ADL. Results. After treatment, the FMA and MBI values of the treatment group were significantly higher than those of the control group ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>P</mi> <mo>&lt;</mo> <mn>0.05</mn> </math> ). Conclusion. By adopting a parallel acquisition technique and reducing the number of excitations (group 3) scanning scheme, not only the scanning time is significantly shortened, but also the image quality can meet the diagnostic requirements, which has great application value for AIS patients who need emergency treatment. MRP can obviously promote the hand and wrist motor function and daily living ability of stroke hemiplegic patients.
Performance analysis of Dyna-Q algorithm in unstable environment

Dyna-Q algorithm has excellent convergence performance and is widely used in planning, control and other fields. Most of the real environment is unstable environment, so it is of great significance to study the performance of Dyna-Q algorithm in unstable environment. In this paper, an environment with controllable instability is constructed and the influence of environmental instability on algorithm performance is studied. Experimental results show that Dyna-Q has better convergence performance than Q-Learning algorithm except in extremely unstable environment, and has the same algorithm validity as Q-Learning algorithm.
Lempel-Ziv Parsing for Sequences of Blocks

The Lempel-Ziv parsing (LZ77) is a widely popular construction lying at the heart of many compression algorithms. These algorithms usually treat the data as a sequence of bytes, i.e., blocks of fixed length 8. Another common option is to view the data as a sequence of bits. We investigate the following natural question: what is the relationship between the LZ77 parsings of the same data interpreted as a sequence of fixed-length blocks and as a sequence of bits (or other “elementary” letters)? In this paper, we prove that, for any integer b&gt;1, the number z of phrases in the LZ77 parsing of a string of length n and the number zb of phrases in the LZ77 parsing of the same string in which blocks of length b are interpreted as separate letters (e.g., b=8 in case of bytes) are related as zb=O(bzlognz). The bound holds for both “overlapping” and “non-overlapping” versions of LZ77. Further, we establish a tight bound zb=O(bz) for the special case when each phrase in the LZ77 parsing of the string has a “phrase-aligned” earlier occurrence (an occurrence equal to the concatenation of consecutive phrases). The latter is an important particular case of parsing produced, for instance, by grammar-based compression methods.
Duck Optimization for Additive Manufacturing Using Generative Design Fluids Path in Fusion360

Abstract: Generative Fluid in Fusion 360 is the recently launched cutting edge technology which is revolutionary for those companies which produces parts and components working on fluid. They always thrive for weight reduction and minimum pressure drop of their components along with no sacrifice at their performance. This can now be done by this new technology at their specified rate. But the cost of running one simulation is equitable for design which it gives to us. Keyword: 1. Additive Manufacturing, 2. Computational fluid dynamics, 3. Computer aided design, 4. Generative Design, 5. Topology optimization 6. fluid mechanics
Solving constrained K-Markov decision processes

Markov Decision Processes (MDPs) are convenient mathematical models used to solve sequential decision-making problems when the state of the system is completely observable and actions have an uncertain outcome.In human operated systems such as conservation of biodiversity and environmental management, solutions that cannot be understood or explained to human experts are unlikely to be accepted and applied in real world problems.To tackle this issue, domain experts must find a clever way of visualising and understanding solutions, for example, plotting graphs and performing scenario analysis.Previous work proposed to solve K-MDPs, i.e, given an original MDP and a parameter K, generate a reduced state space MDP with at most K states.State abstractions proved to reduce the complexity and increase the interpretability of MDP solutions and models.However, states aggregated according to algorithms that minimize the loss of performance may not have a meaning for human experts.To bridge the gap between artificial intelligence (AI)-designed state space and human experts, we address the challenge of including human preferences in the state aggregation process.Building on previous work, we define the problem of solving constrained K-MDPs, i.e, generate a reduced state space MDP with at most K states aggregated according to a set of constraints C specified by a user.We present a new algorithm and assess its performance on two computational sustainability case studies from the literature with one and two state variables respectively.Our results show that we can achieve a substantial reduction on the size of MDP solutions at a small cost of performance, by aggregating states according to user preferences.We have reduced the size of the state space of our case studies up to a 99.75%, with a small loss of performance.Our reduced constrained K-MDP models and solutions are compact and more interpretable.We hope our approach helps reducing the gap between artificial intelligence (AI) systems and human decision makers and increases the uptake of MDPs by improving interpretability and including users in the decision process.
TEC TYPOLOGY USING PENTATONIC SEALS

Thematic entertainment complexes are an extremely wide field in which various projects are built. From religious buildings and museums to dinosaur parks and thematic complexes dedicated to cinema. At the moment, TEC do not have a typology. They cannot be classified and systematized. The breadth of topics, sizes, target audiences and placement options is so great that one letter can not describe it. Therefore, it was decided to develop such a system. This will allow us to compare, at first glance, not comparative things, but in conjunction with the final table of the article "Analysis of psychological preconditions for the formation of TEC using the Maslow Pyramid" [2], we can analyze, evaluate, rate and compare different thematic entertainment complexes.&#x0D; The purpose of the study is to analyze the existing methods of typology of thematic entertainment complexes. Identify those items by which you can still classify thematic entertainment complexes. Develop a graphic display for each item and assemble it into a single, compact scheme for easy reading and placement in the design of the architectural environment.&#x0D; Then let's analyze the real thematic entertainment complex. For example, take Disneyland Paris, as the brightest representative of this type of building.&#x0D; The scientific novelty of the study is that we will form a typological system that will allow in a compact version to encrypt all the features of the thematic entertainment complex. Its size, location, topic, purpose, target audience, etc.&#x0D; As a result, we get a method of analysis of thematic entertainment complexes, which will allow you to quickly analyze thematic entertainment complexes, compare them with each other and more clearly structure existing and future complexes.&#x0D; It will also help the end visitor to immediately understand exactly where he spent and what to expect from the institution.
Author's distance courses in the system of lifelong art education

The purpose of the article is to substantiate the advisability of using distance courses in the process of improving the qualifications of teachers of art education institutions. The methodology of the work is based on the use of methods of analysis and synthesis. The analysis of the problems of the quality of knowledge in distance courses made it possible to turn to different forms of education. On the basis of synthesizing the obtained research results, the laws of knowledge improvement are established. The method of concretization reconstructed the versatility of connections in the personality – process – education system. The method of generalization made it possible to fix the expediency of using distance courses in order to improve the qualifications of teachers of art education institutions. The scientific novelty of the work lies in the fact that the author's distance course "Methods of teaching musical disciplines" has been analyzed and introduced into the educational process of the National Academy of Leading Cadres of Culture and Arts, the Center for Continuous Art Education. The text of the article can be used in the preparation of a lecture on the methods of teaching musical disciplines. Conclusions. Based on the analysis of work with the distance course "Methods of teaching musical disciplines", the possibilities and expediency of its use in refresher courses for teachers of art education institutions are revealed. Working with DK has advantages in improving the professional skills of teachers, allows you to save time as much as possible and receive a creative incentive for practical use in teaching, to identify new aspects of creative approaches in the art of music. The absolutely new selected material of the DK enriches the teaching experience (with a repertoire in performance, theoretical studios for musical-theoretical and musical-historical disciplines), including people of different age groups. The distribution of lectures, practical and independent tasks has a positive effect on the final learning outcome.
Intelligent Filling Method of Power Grid Working Ticket Based on Historical Ticket Knowledge Base

The traditional power grid ticket filling method has a large workload, low efficiency, and cannot achieve comprehensive and effective reference of historical tickets. This paper proposes a method of intelligent filling in a power grid working ticket based on a historical ticket knowledge base. Firstly, the historical ticket data are preprocessed, then the historical ticket information is mined by the association rule algorithm, and the method of establishing the historical ticket knowledge base is proposed. Based on the improved word bag model, an intelligent grid work ticket filling model is established based on the historical ticket knowledge base, and the correctness of the method is verified by an example. The results show that the accuracy of the proposed method is at least 18% higher than that of the traditional model, and the matching efficiency is 50% higher than the evaluation results of the three models based on semantic expressions. The method enables the identification and extraction of similar and associated work tickets, improves the efficiency of filling work tickets for power grids, and promotes the intelligence of the safety procedures for power grid operations.
Edu apps in EFL teaching

Always online – this is not only applicable to digital natives but also to digital immigrants. The digitisation of everyday life has become an integral and natural part of our society. By using mobile devices, there is almost unlimited availability of information and communication services. The corresponding apps – used via smartphones, tablets, or netbooks – are an indispensable part of our students’ as well as our own lives. Therefore, they provide the opportunity to become a key tool in learning processes and enhance foreign-language skills. The following contribution depicts the added educational value of these media and shows how these tools can enrich foreign-language teaching and learning. Furthermore, it aims to give an overview of the range of edu apps and show blended learning scenarios by using mobile devices in EFL (English as a Foreign-Language) teaching.
Clustering

We tend to determine, almost instinctively, when two objects are similar or dissimilar to each other. For example, when we see all the myriad objects in nature, we tend to divide them into two groups: one that is able to ingest food and convert it to energy, is able to reproduce etc. and the second group of objects that do not show these characteristics. Once we discern two such apparently distinct groups, we give them a name – living and nonliving things. While this may seem like a simplistic example, similar groupings based on biological characteristics, evolution, etc., lead to various biological taxonomies.
Perlocutionary Act In Black Panther Movie Script

This study tries to find out the use of perlocutionary acts in the Black Panther movie script, that is, how the characters’ utterances have some particular effects on other characters. The objective of this study is to describe the type of perlocutionary act which is used in the Black Panther movie script. This study uses a qualitative descriptive design. The source of data is obtained from the Black Panther movie script containing the dialog script of the characters’ utterances. The data are collected by reading the script intensively, watching the movie several times, and identifying, selecting, and coding the data. The data are analyzed by presenting the data, describing the data, interpreting the data, and concluding the data. The results show that the four types of the perlocutionary act which is used in the Black Panther movie script can be concluded based on the speakers’ communicative act purpose that can be either understood completely or can also be misunderstood by the interlocutor. The misunderstanding feedback of the interlocutors could be seen either in not realizing or not understanding the speakers’ utterances, the interlocutors intentionally tell lies or intentionally do not want to cooperate with the hearers, or the utterances’ meaning is clarified by the third speaker. The four types of perlocutionary act, based on Qiang’s theory, consist of the first type, that is, the intention of the one who speaks was entirely comprehended by the interlocutors), the second type, that is, the intention of the speaker is not comprehended completely by the interlocutor, the third type, that is, the hearers that tell lies to the speakers or the hearers intentionally hide something from the speakers, and the fourth type, that is, the intention of speaker that is not comprehended by the interlocutors, but because of the participation of others in the interaction.
ANALISA DAN PERANCANGAN APLIKASI PEMANTAU TUMBUH KEMBANG ANAK DENGAN METODE BODY MASS INDEX BERBASIS WEB

Health is the most important thing in life. Especially for the first five years of age of children. The growth and development of children in the first five years of age are very vulnerable and need more supervision from parents. However, many parents do not pay attention and ignore the health and development and development of toddlers, due to reasons too busy or lack of facilities or containers that support the supervision activities. With the rapid development of technology today, it can simplify and help daily activities, including activities to monitor children's growth and development. This research tries to design a web-based application that can facilitate parents in monitoring children's growth and development. This study used the method of developing the Waterfall system and PIECES. In this application there is an information system for calculating a child's ideal body weight using the body mass index method, calculating the measurement of the framework, as well as searching for a child's poly location specifically in the DKI Jakarta area. This web-based child growth and development application will help parents in monitoring children's growth and development as well as finding the location of children's poly in DKI Jakarta
ANEC: Artificial Named Entity Classifier based on BI-LSTM for an AI-based Business Analyst

Business users across enterprises today rely on reports and dashboards created by IT organizations to understand the dynamics of their business better and get insights into the data. In many cases, these users are underserved and do not possess the technical skillset to query the data source to get the information they need. There is a need for users to access information in the most natural way possible. AI-based Business Analysts are going to change the future of business analytics and business intelligence by providing a natural language interface between the user and data. This natural language interface can understand ambiguous questions from users, the intent and convert the same into a database query. One of the important elements of an AI-based business analyst is to interpret a natural language question. It also requires identification of key business entities within the question and relationship between them to generate insights. The Artificial Named Entity Classifier (ANEC) helps us take a huge step forward in that direction by not only identifying but also classifying entities with the help of the sequence recognising prowess of BiLSTMs.
P.0343 Early detection, diagnosis and intervention services for children with autism spectrum disorder across europe according to the gross domestic product

In this paper we propose a fuzzy detection and reduction method for impulse noise in colour images. Detection is based on the fuzzyfication of a well-known statistic called ROD. The noise degrees obtained are used to reduce impulses by employing a fuzzy averaging between the input colour vector and a robust estimate of noise-free colour vector within the input neighbourhood. Fuzzy averaging has some advantages in terms of both noise reduction and detail preservation in front of detect and replace approaches because of threshold based decisions of the latter. However, robustness of the former is lower. We solve this problem by including a correction mechanism that checks the fuzzy noise degree of the output and replaces it with a robust colour vector either when noise has not been properly reduced or when a colour artefact has been introduced. We carry out a thorough study of the method parameter setting and give a convenient and robust setting. Experimental results show that our approach is very robust in front of four different types of impulse noise.
Analysis of Distribution Patterns in Mapping Cirebon Internet Service Facilities Using NNA Algorithm Based on Geographic Information Systems

Cirebon city moves continually to become Smart City by making technology to public service. One form of technology to public service to is by providing internet facilities for public or for community. Currently there are several internet facility services for public, but these services are only available at certain location points and are not spread evenly. Apart from that, the government has difficulty in determining the right location points to serve as public internet service facilities. The purpose of this research is to analyze the pattern of distribution of internet facilities location points so that they can be mapped digitally using Geographic Information Systems. In this research, the data used were 49 object data points for location of internet facilities in Cirebon. Furthermore, the data will be analyzed using the Nearest Neighbor Analysis (NNA) method to determine the distribution pattern of internet facility location points. Based on the resulting distribution pattern, it can be implemented into digital mapping using Geographic Information Systems. So the Geographic Information System can help the government in making decisions, and for the public to find out the location points of internet facilities in Cirebon.
Thailand’s Law on Criminal Online Falsehoods: A Critical Discussion

This article critically discusses the Thai criminal law applicable to online falsehoods, namely Section 14 para. 1(1) and (2) of the Act on Computer-Related Offences. Linking developments in Thailand to global and Southeast Asian fake news discourses, the article’s main part sheds light on several interpretational and constitutional complexities. Conflicting concepts of falsity and an uncertain ambit of protected interests are found to persist despite legislative amendments. As the right to freedom of expression in principle also protects false factual statements, recent constitutional jurisprudence on the principle of proportionality is applied to evaluate the prescribed level of criminal punishment. The article provides an in-depth analysis that contributes to the evolving scholarship on the challenges of regulatory responses to fake news.
Evaluation of Shallow Groundwater Function in Independent Watershed Based on ArcGIS

According to the characteristics of physical geography and hydrogeology in Pingtan Island area, an independent regional groundwater evaluation system is established according to the four-layer model structure of target layer, criterion layer, attribute layer and index layer in the system. AHP (Analytic hierarchy process) is used to determine the weight value of each index in the study area, and a set of groundwater function evaluation system suitable for the island area is established. A groundwater function evaluation model with high systematic order degree is constructed and applied to the groundwater function evaluation of Pingtan Island. The results show that the groundwater in Luyangpu plain, Longwangtoupu plain, Lianjiupu plain and Qilipu plain can be developed and utilized well; The function of groundwater in the south of Aozhen and the foot of Junshan mountain is general, so we need to pay attention to the protection of ecological environment; The comprehensive function of groundwater in reclamation area, Huoshaogang salt area and Tianzhuyukou seawater intrusion area is weak, which is not suitable for exploitation and utilization. The research results are suitable for the evaluation of groundwater function in independent small areas of islands, and can provide technical support for the sustainable utilization of groundwater resources in similar islands.