Reviewerly/exHarmony huggingface dataset:
System to Diagnose Periodontics Disease (Gum Disease) Using K-Nearest Neighbour Alghoritms

A Technological Growth has occurred rapidly at this time.not only in the fields of information,industrial or education but also in the agricultural fields. Therefore the sophistication of the technology was also utilized in order to getting an information about Periodontics (gum disease).Periodontics caused by poor oral hygiene condition.in this problem, a technique that used to diagnose Periodontics disease to be able to helping the doctors and citizens about the disease is really necessary. Therefore the author will design and developing a desktop-based application expert sytem to diagnose Periodontics disease using K-Nearest Neighbor method.Systems will analyze someone based on the previous data of the patients.as a user,patients will insert a data based to their symptomps in order to generate not only an identification of the probabilities accuracy data but also the solution about this disease.this expert system was developed with K-Nearest Neighbor methods for measuring a  certainty value from the new hypothesis of  new facts based on the previous consultation data records of the patient.the calculation of K-Nearest Neighbor methods has been generated 0.72 or 72% of trust value  from one Periodontics disease based on the result of consultation.
LibGuides: Children's Books About Feelings: Book Lists

These are books that talk about various feelings and emotions that children might experience as they grow and develop. These books help children understand their emotions and often show healthy ways to express and work through what they are feeling.
Intruder Detection on Mobile Phones Using Keystroke Dynamic and Application Usage Patterns

Security through biometric keystroke and user action analysis on mobile phones is a new approach. Most of the existing solutions track only GPS location, which allows detecting theft. None of them support spy detection or short access of the intruder when the phone is away from its owner. In this paper, Authors present a solution that allows detecting intruder via analysis of typical user’s actions in the applications and way of writing - keystroke dynamics. Presented solutions can be run as an application on Android mobile devices and currently is distributed via Google Play Store alpha channel for testing by the limited number of users.
Tokenised Assets in Private Law

Tokenisation is a recent development in distributed ledger technology (“DLT”) systems. Assets that exist off the ledger system, such as securities or rights to the delivery of a service, are represented as tokens issued on DLT system. The tokens evidence the holders’ claims against the issuer of the assets. The system serves as a platform for trading the tokens and the off-ledger assets they represent.Tokenisation presents many analytical difficulties for private law. My concern in this paper is to outline some of the problems – and possible solutions – of mapping traditional rules of property and transfer onto transactions with tokenised assets on a DLT system. Much depends on the legal analysis used to explain the transactions with tokens on the system, and on the possibility of recognising a legal link between the on-chain token and the off-chain asset that it represents. The paper develops the argument that digital transactions can be analysed as the expression of the parties' intentions to make an assignment or novation of the rights represented by the assets.
LibGuides: Middle School Digital Learning: Government Information

This guide is to provide resources and support for middle school teachers who may be teaching digitally for the first time. Information from the state of Tennessee about learning during the pandemic.
Advancing Quantum Computing to Accelerate Scientific Research

Over the past few years, the capabilities of quantum computers have reached the stage where they can be used to pursue research with widespread technological impact. Through their research, the Q4Q team at the University of Southern California, University of North Texas, and Central Michigan University, explores how software and algorithms designed for the latest quantum computing technologies can be adapted to suit the needs of applied sciences. In a collaborative project, the Q4Q team sets out a roadmap for bringing accessible, user-friendly quantum computing into fields ranging from materials science, to pharmaceutical drug development.
Enhancing Security in M-Commerce Transactions

M-Commerce is an evolving aspect of e-commerce that should meet the critical requirements of high security and single sign on, including minimalism and manageability. These features can draw ordinary individuals to make use of more M-Commerce. Because there are certain vulnerabilities and wireless communication risks in trade transactions, it is particularly important to examine mobile e-commerce transaction systems in the payment process. In order to satisfy customer requirements, payment protection threats must be avoided in M-commerce by introducing a specific improved security solution in the M-commerce systems. In this paper an architecture is suggested and tested for secure M-transactions with the increased security level of user and service provider authentication. In terms of quality, usability and protection, this proposed architecture must be understood by evaluating its execution time, performance and security. [copyright information to be updated in production process]
PHILOSOPHY, LOGIC AND PRAGMATIC PRESUPPOSITION

Presupposition has long history in philosophy of language and linguistic semantics. Recent works in linguistics have given a central place to the notion of presupposition. It is studied as an essential aspect in providing semantic as well as pragmatic representations. Resultantly, presupposition has obtained a significant place in linguists, logicians and philosophers spheres of interest. It has been studied as a kind of unspoken information that accompanies an utterance. Moreover, presuppositions perform a significant role in our understanding of how context and background determine proper interpretation of any utterance. They are studied as conditions which must be fulfilled for an expression to be interpreted meaningfully.
ICT: An Effective Platform to Promote Writing Skills Among Chinese Primary School Pupils

Recently, the emergence and rapid growth of Information and Communications Technology (ICT) have become an essential part of everyone’s life. People from all walks of life are utilizing social media for communication, especially the primary and secondary school pupils. Instead of restricting the usage of ICT among primary school pupils, ICT should be fully explored to nurture the habit of writing in the school. This study aims to explore the practicality of ICT in promoting pupils’ writing skills. Hence, social media serves as the core of the entire study. A qualitative research was conducted to illustrate the relationship between the use of social media and its role in promoting writing skills among 60 primary school pupils from Kota Bharu, Kelantan, Malaysia. The research findings revealed that ICT serves as one of the useful and practical tools in promoting writing skills among the pupils. The results obtained from the survey were divided into several themes, which would be further discussed in the paper. In a nutshell, it is believed ICT and social media helps to promote writing skills among pupils, especially in learning English as a second language. The recommendation that can be derived from this study is that, it would be better to expose the pupils to write through social media under the surveillance of adults or teachers to make sure the learners are on the right track.
Half-day Panoramic view on Acoustic Materials - 2 - Bart Van Damme

The youth group of the new EAA (European Acoustics Association) Technical Committee on Acoustic Materials, the YAN (Young Acoustician Network) and the YRAM (Young Researchers in Acoustic Metamaterials) organized a joint event for young researchers (masters/PhD/post-docs) on the topic of acoustic materials on Monday, May 10, 2021. The program included 6 accessible lectures to grasp different aspects of the topic: Introduction to porous materials - Fabien Chevillotte (Matelys) Current (and future) trends in acoustic materials - Bart Van Damme (Empa) From granular media to magneto granular crystals - Georgios Theocharis (LAUM) Viscoelasticity in porous materials - Lucie Rouleau (CNAM) Bio-based acoustic materials for building applications - Clement Piegay (CEREMA) Biomedical ultrasound applications of acoustics holograms - Noe Jimenez (I3M, UPV) Links: EAA TC on Acoustic Materials: https://euracoustics.org/technical-committees/tc-on-acoustic-materials/tc-on-acoustic-materials EAA YAN: https://euracoustics.org/yan YRAM: https://yram.org
Recognition of the Researchers Faces in Images Using Convolutional Neural Networks (CNN)

Facial recognition is a challenge area to introducing new methods to deal with the detection or recognition human faces tackle. The importance of this fields increased dramatically last year because of the demand on the face recognition application in different life sectors such as security, HealthCare, privacy, and more. Therefore, we proposed a method which uses deep learning network to recognize a researcher based on his face. We build a dataset by collecting number of images with different characteristics for the researchers from the social media. The results show that the deep learning CNN produces a reliable accuracy rate about 98% though the dataset contains images with different conditions, lighting, side view, and different scales.
A Survey on Datasets for Machine Reading Comprehension

Machine Reading comprehension gives the capability for machine to read/understand the text and answer the question raised by the user from the text given. Improving machine’s understanding of text is an important task for many applications like question answering system, information retrieval, document summarization, robotics etc. Many researchers have been working in this area since 1970’s. To evaluate the capability of Machine Reading researchers need good datasets. This paper intends to compile all the datasets available for Machine Reading Comprehension Systems.
Measurement of indoor environment parameters in a classroom equipped with heat recovery unit

We demonstrate several ways to use morphological word analogies to examine the representation of complex words in semantic vector spaces. We present a set of morphological relations, each of which can be used to generate many word analogies. 1. We show that the difference-vectors for pairs which have the same relation to each other are similarly aligned. 2. We suggest that addition of difference-vectors is a useful phrase-building operator. 3. We propose that pairs in the same relation may have similar relative frequencies. 4. We suggest that homographs, which necessarily have the same semantic vectors, can sometimes be separated into different vectors for different senses, using frequency estimates and alignment constraints obtained from word analogies. 5. We observe that some of our analogies seem to be parallel, and might be combined. We use Arabic words as a case study, because Arabic orthography includes verb conjugations, object pronouns, definitive articles, possessive pronouns, and some prepositions in single word-forms. Therefore, a number of short phrases, built up of easily perceived constituents, are already present in stock semantic spaces for Arabic available on the web. Similar phrases in English would require including bigrams or trigrams as lemmas in the word embedding, although English derivational morphology allows for other relationships in standard semantic spaces which Arabic does not, for example negation. We make our corpus of morphological relations available to other researchers.
Research on the Application and Development of Multimedia Teaching in College Wushu Course based on Internet Technology

Abstract The traditional Wushu teaching method is relatively simple, which is not conducive to students’ absorption and understanding of Wushu movements, especially for the complex decomposition of Wushu movements, which is not conducive to strengthening students’ correct cognition of Wushu. Based on this, this paper first analyses the technical basis of college Wushu multimedia teaching, then studies the design of college Wushu multimedia teaching system, and finally gives the utilization strategy of multimedia tech in college Wushu teaching.
Analyzing Searching Behavior in Online Shopping Sites based on Product-Specificity of Query Words

As the internet continues to spread as a crucial element of social infrastructure, more and more people are shopping online. Online sites that formerly dealt with such specific products as books and clothing have expanded to mall-type shopping sites by incorporating various kinds of stores. This transition has made product searches by users more complicated and prolonged. In this paper, we propose a method that analyzes the transition patterns of the product-specificity of queries in a product-searching b ehavior. As a key concept in our proposed method, we adopt the notion of information content, which represents the amount of information contained in a query, to quantitatively define product-specificity. We conducted an experiment on an actual shopping log dataset to confirm the effectiveness of our proposed method. The result demonstrates that the proposed method extracts illuminating behavioral patterns such as “narrowing-down behavior” that keeps adding query words and “expanding behavior” that keeps removing query words to increase the search results.
Development of the Research Stand for Remote Interaction with Speech Database in the Cloud Storage

Cloud data storage provides a convenient framework for organizing remote work with speech databases. The article discusses the problem of constructing a research stand based on the use of cloud services for a obtaining of the estimation evaluation characteristics for integrated speech database.The use of this stand will allow to determine the basic technological solutions to mechanisms for implementing remote access to the accumulated and systematized data in the speech database.The use of cloud services as a new paradigm for the organization of infra-structure and the creation of distributed applications allow to develop a package of cloud web-services for unified multi-platform remote access to speech data-base in the cloud storage.
A New Formalism, Method and Open Issues for Zero-Shot Coordination

In many coordination problems, independently reasoning humans are able to discover mutually compatible policies. In contrast, independently trained self-play policies are often mutually incompatible. Zero-shot coordination (ZSC) has recently been proposed as a new frontier in multi-agent reinforcement learning to address this fundamental issue. Prior work approaches the ZSC problem by assuming players can agree on a shared learning algorithm but not on labels for actions and observations, and proposes other-play as an optimal solution. However, until now, this problem has only been informally defined. We formalize this setting as the label-free coordination (LFC) problem by defining the label-free coordination game. We show that other-play is not an optimal solution to the LFC problem as it fails to consistently break ties between incompatible maximizers of the other-play objective. We introduce an extension of the algorithm, other-play with tie-breaking, and prove that it is optimal in the LFC problem and an equilibrium in the LFC game. Since arbitrary tie-breaking is precisely what the ZSC setting aims to prevent, we conclude that the LFC problem does not reflect the aims of ZSC. To address this, we introduce an alternative informal operationalization of ZSC as a starting point for future work.
Modern Science Archive

Modern Science Archive Index journals. It is aiming at rapid evaluation and Indexing of all local and international journals.Modern Science Archive provides following services with Frequency of 12-Indexing round per year:Evaluation and Indexing of journalsEstimation quality of journals based on comprehensive defined standards.journal panel for journal to monitor and control quality of their journals.
Developing students' "Imagination" and "Creative Thinking" skills using the "MIND Map" to explain "The Nature of Light"

The article discusses the specifics of increasing the creative activity of students in grades X and XI, the importance of relying on students' "imagination" in the teaching of natural sciences, including physics.At the same time, teaching physics develops students' "imagination", "creative thinking" and "full thinking" skills. This is based on the importance of visualizing topics and that the Mind Map is the most effective way to accomplish this task.The article presents the most interesting and at the same time the most powerful "imagination" of physics, the "Nature of Light" mind maps. This Mind Map not only helps to understand the essence of the "corpuscular wave of light" dualism, but also provides practical assistance in developing students' "imagination" and "creative thinking" skills.The article also discusses the assessment of "full thinking" skills of high school graduates, comparing their "full thinking" skills in times of crisis. A chart based on such a comparison, on the one hand, provides parents with information about their children's "full thinking" skills, and on the other hand, allows employers to invite such talented students as future professionals.
Anomalies Detection in records of operational failures using IoT devices and data mining

The industry underwent several transformations initiated by the first Industrial Revolution at the end of the 18th century. Today we are experiencing the Fourth Industrial Revolution, where equipment is capable of processing data and connect to communication networks. Maintenance planning can use large volume of data generated by IoT devices to act preventively . This work aims to propose an architecture that uses an outlier detection algorithm, Local Outlier Factor, to detect anomalies in machine failure records, producing information to support equipment maintenance decisions.
The Effect Of Personal Experience Strategy On Students’Achievement In Writing Narrative Text

The main topic of this study is teaching narrative text. The aim of this study is toseek out writing narrative text’s effect between the scholars taught by using personalexperience strategy and therefore the students taught by using big group workstrategy at tenth grade students’ of SMA Negeri 1 Pangkalan Susu. The experimentalclass was using personal experience strategy and therefore the controlled class wasusing big group work strategy. The author used quantitative method and also theresearch design was experimental design. In conducting this research, the populationwas tenth grade and brought by sampling technique. The instrument in conductingthe information during this study was essay test. There have been 500 scores gainedof the pre-test to the post-test experimental class and there have been 211 scoresgained of the pre-test to the post-test in controlled class. The finding showed that tobserved = 6.738 was on top of t-table = 1.667 at the amount of significance ∝ =0.05 and therefore the degree of freedom (df) = 68. So, the null hypothesis (H0) wasrejected and alternative hypothesis (Ha) was accepted, because t-observed was morethan t-table (t0 > t table = 6.738 > 1.667). Lastly, personal experience strategyaffected students’ achievement in writing narrative text.
A study on Relative Clause in English, Indonesian and Arabic Language: A Comparative Analysis

The research is conducted to an analysis on relative clause in three languages. The aim of this paper is to compare of relative clause in three languages, namely Indonesian, English and Arabic. The research stage in analyzing the data was data collection, data classifying, data presenting. The result of the research is similarities and differences in the structure of relative clause in English, Indonesian and Arabic. Types of relative clause in English are defining and non-defining clauses, types of relative clause in Indonesian are Restrictive and Non-Restrictive relative clause and types of relative clause in Arabic are definite and indefinite relative clause.
On the Ends of the State: Stationary Bandits and the Time Horizon in Eastern Congo

We show that armed actors refrain from using their power to arbitrarily steal from an economy if, and only if, the armed actors' property rights over stealing from that economy are secure. By 2009, armed actors taxed, administered, and protected various villages in Democratic Republic of the Congo. We exploit the timing and targeting of an international military operation that permanently made taxing these villages impossible. Following the operation, these armed actors turned to violently expropriating the same villages. The findings suggest that the security of property rights over stealing, hence the stealing horizon, can sustain, or destroy, economic growth.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
LibGuides: Summer Reading in SISD: 2021 Summer Challenge

Socorro ISD Library Services offers summer reading challenges, book recommendations, and other helpful tips to help you get the most of your summer reading experience.
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning

Off-policy multi-step reinforcement learning algorithms consist of conservative and non-conservative algorithms: the former actively cut traces, whereas the latter do not. Recently, Munos et al. (2016) proved the convergence of conservative algorithms to an optimal Q-function. In contrast, non-conservative algorithms are thought to be unsafe and have a limited or no theoretical guarantee. Nonetheless, recent studies have shown that non-conservative algorithms empirically outperform conservative ones. Motivated by the empirical results and the lack of theory, we carry out theoretical analyses of Peng's Q($\lambda$), a representative example of non-conservative algorithms. We prove that it also converges to an optimal policy provided that the behavior policy slowly tracks a greedy policy in a way similar to conservative policy iteration. Such a result has been conjectured to be true but has not been proven. We also experiment with Peng's Q($\lambda$) in complex continuous control tasks, confirming that Peng's Q($\lambda$) often outperforms conservative algorithms despite its simplicity. These results indicate that Peng's Q($\lambda$), which was thought to be unsafe, is a theoretically-sound and practically effective algorithm.
Error‐Insensitive 3D Entanglement Gate with Optimal Control of Geometric Evolution

Abstract By using the counterdiabatic driving method, two‐atom 3D entanglement gates are constructed rapidly based on adiabatic geometric quantum computation (AGQC). The added counterdiabatic Hamiltonian does not introduce additional unaccessible ground‐state coupling, and the shapes and phases of the initial adiabatic classical‐field pulse only need to be modified. By using the optimal control technology, the effect of the control errors of Rabi frequency or detuning is suppressed effectively. Quite specially, with an appropriate choice of optimized parameters, the authors' scheme could be insensitive to these two kinds of errors simultaneously. By combining AGQC with optimal control, the scheme could offer a promising means for constructing fast and robust high‐dimensional quantum entanglement gate.