Reviewerly/exHarmony huggingface dataset:
Integrate-and-fire neurons and population models

Abstract This chapter introduces a variety of abstractions of neurons. This includes the all-important leaky integrate-and-fire (LIF) neuron. The chapter also introduces more recent generalizations of this basic model to allow again to incorporate more realistic feature of specific neuronal groups. The middle section of this chapter discusses some general aspects information processing with spiking neurons that will set the stage for our final abstraction of neural systems. This includes another important leap to describe the collective behaviour of groups of neurons, also known as population models or rate models. Population nodes are the basis for many system-level investigations in cognitive neuroscience and are used frequently in later sections of this book. This chapter is an important start of abstractions that are necessary to tackle more system-level information processing principles.
2022 EUROPEAN SUMMER MEETING OF THE ASSOCIATION FOR SYMBOLIC LOGIC LOGIC COLLOQUIUM 2022 Reykjavík University Reykjavík, Iceland June 27 – July 1, 2022

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The Implementation of English Teaching in New Normal Era during Covid-19 Pandemic at SMP Negeri 3 Teras

This research discusses the implementation of English teaching in new normal era during COVID-19 pandemic which reveals the offline teaching activity in class with the new normal health protocol implementation, the procurement of health protocol support facilities, and the students’ preference of learning methods which have been experienced during COVID-19 pandemic. The objectives of this research are: a) providing the portray of English teaching activity and the activity in school in general in new normal era during COVID-19 pandemic, and b) measuring the students’ preference of the used learning methods both offline or online learning in COVID-19 pandemic. The subject of this research was the 7th students and teacher at SMP Negeri 3 Teras. The techniques of collecting data used were observation, interview, and questionnaire. The data from the observation and questionnaire for this research were analyzed qualitatively in order to provide the phenomena in the school descriptively, while the students’ questionnaire responses were also processed qualitatively and provided descriptively. The findings of this research showed that there were a number of differences which were implemented in limited offline learning such as the limitation of class capacity, weekly schedule setting, the implementation of new normal health protocol (wearing mask, limitation of class capacity, and keeping the distance) and providing the facilities which support the prevention of COVID-19 spread such as washstand, hand sanitizer, and thermometer.
تقويم برنامج التطبيق المنهجي من وجهة نظر الطلبة المطبقين بمعهد اعداد المدربين التقنيين

The research aims to Evaluation of the methodological application program from the point of view of the applied students Technical Instructors training institute.Where the researchers applied a special questionnaire that was applied to a sample of students amounting to (100) applied students, and the results of the research revealed that there is a positive indicator of the students’ satisfaction with the methodological application program, and that the students’ evaluation of the application areas was as follows: The scope of the application program procedures The methodology ranked first, the field of the practical supervisor (teaching middle school) ranked second, then the scientific supervisor (the institute’s teacher) ranked third, then the field of professional or industrial prep ranked fourth, then the field of the director of professional or industrial prep ranked last. Keywords: Methodological Application, Institute of Tech.Trainers Preparing
Cross Platform Mobile Web growth and Design System Based on Large Data Interaction

In the growth trend of mobile Internet, with the continuous innovation of technology, more and more people begin to use mobile phones and other devices to live. At the same time, people’s demand for information resources is increasing. In the traditional sense, web refers to the large amount of content data on the web page. This paper introduces the design and implementation of cross platform mobile Internet Project Based on large data interaction. The system provides real-time, efficient and reliable access control for intelligent terminals. Users can browse web content and other operations through mobile apps. The client can set and deploy on any platform according to its own needs. At the same time, it will automatically generate a page to display in the corresponding interface. After receiving the request, the server will feed back the results to the user. Finally, the performance of the system is tested. The test results show that the cross platform web system based on big data interaction has high compatibility, security and fast running speed, which shows that the performance of the system can meet the needs of users.
Privacy-Preserving Scheme for Nearest Life Services Search Based on Dummy Locations and Homomorphic Encryption Algorithm

With the rapid development of emerging internet technologies, Location Based Services (LBS) have brought great convenience to the people’s lives. However the locations will be exposed to service providers posing serious threats to users’ information security. No trusted entities except the user himself as a basic assumption, This paper proposes a privacy-preserving the nearest life services search scheme with cloud server instead of LBS provider, which the user and the life service providers both do not need to provide their actual locations to the cloud server. First, the user constructs a K-anonymous area composed of all dummy locations. The relevant life service providers respond according to the distance to the dummy address. Then, with the computing and communication assist of the cloud server which is based on homomorphic properties of Paillier cryptosystem, the user finds and connects to the nearest life service provider. Our scheme not only reduces the cost of communication between users and servers but also protects the location and track information, which achieves trade-off of privacy and availability in mobile web applications, it can also be used as a business model applicable to any location-based service industry.
3D Object Recognition of Unmanned Surface Vessel Based on Grid-Convolutional Neural Network

3D object recognition have important research significance in unmanned systems. This paper investigates a 3D object recognition model for unmanned surface vessel (USV) based on Grid Convolutional Neural Network. The convolutional neural network (CNN) is used to identify multiple classes of objects without designing detectors for each class of objects. The recognition efficiency is improved by dividing the data into pixel blocks whose value is the number of detection points. Experimental results show that our model accurately recognizes entities from the observed data, which validates the effectiveness of the algorithm.
A Hybrid Method for Online Safe Trajectory Generation in Quadrotor Flight

In this paper, we propose a safe and efficient online trajectory generation method for quadrotors. This algorithm combines the sample-based motion planning method with the time-constrained trajectory optimization method. Based on the linearized state-space model of the quadrotor, we use the ellipsoid heuristic to directly sample the map and consider reasonable energy loss and completion time under the motion constraints, and construct a smooth and feasible initial trajectory for obstacle avoidance through multiple iteration optimization strategies. By using B-spline trajectory optimization and convex hull property, we minimize the loss of smoothing term, collision term, and dynamic feasible term to ensure fast and safe trajectory generation online. The proposed method is verified by numerical experiments, and compared with the classical RRT* algorithm and Kinodynamic RRT* algorithm, it is proved that the proposed method can generate feasible quadrotor trajectories at a faster speed.
PENGARUH STRATEGI KWL TERHADAP KEMAMPUAN MEMBACA PEMAHAMAN SISWA KELAS IV SDN 9 AMPENAN TAHUN AJARAN 2019/2020

The purpose of this study was to looking for the effect of KWL Strategy (Know - Want To Know - Learned) towards students' reading comprehension in fourth grade of SDN 9 Ampenan. The population was all of the students in fourth grade as much 107 students, as the result this study was carried out in two classes i.e. IVA as the experiment class and IVB as the control class and the sample was choosen using purposive sampling, techniques particually Nonequivalent control group design,. Based on the title, this study consisted of independent and dependent variable where KWL Strategy as the independent variable while students' reading comprehension as the dependent variable. The data that already collected was analyzed using covariance analysis (anacova) and as the result, it showed that there is significant effect of KWL strategy (Know- Want to Know- Learned) towards the students' reading comprehension with a value of Fobserved &gt; Ftable, which is 5.068 &gt; 3.98.
Leveraging Wi-Fi Big Data Streams to Support COVID-19 Contact Tracing

In this article, the authors discuss the different digital contact tracing solutions and address the data privacy and ethical guidelines of implementing such solutions. They also present a detailed case study for how The American University in Cairo leveraged wi-fi big data streams to improve the efficacy of the questionnaire-based contact tracing approach and demonstrate how the use of digital solutions have supported the plan of a safe return to the campus. They present the detailed technical design of the solution, address the solution challenges and limitations, the testing results, and discuss the cultural awareness efforts to ensure community acceptance and approval of the solution.
Oracle 19c's Multitenant Container Architecture and Big Data

This article presents a review of several improvements made in Oracle 19c's multitenant container architecture and how these improvements aid in the management of big data from the perspective of application development. With the introduction of this new multitenant container architecture, Oracle's ability to handle big data is drastically improved. The added functionality that comes with the integration of big data platforms, alongside the flexibility and improvement that comes with container databases and pluggable databases, that are the main tenants of Oracle 19c's multitenant architecture, has not only allowed Oracle to stay relevant, but has moved it to the forefront of its competitors.
Research on Influencing Factors of College Students' Innovation and Entrepreneurship Practice based on AHP

Under the background of "mass entrepreneurship and innovation", the current situation of innovation and entrepreneurship education of college students in applied undergraduate colleges and its influencing factors is analyzed in this paper, and the key influencing factors affecting the cultivation of innovation and entrepreneurship ability of college students is given. First of all, from the perspective of innovation and entrepreneurship practice stakeholders, 17 influencing factors are selected by means of literature analysis and other means to form a hierarchical index system of 4 dimensions. Then, based on analytic hierarchy process (AHP), a standardized and unified analysis environment is established, the influence weights of each factor are determined, and the quantitative evaluation and analysis of influencing factors are realized. The conclusions obtained are of certain significance to improve the effectiveness of innovation and entrepreneurship practice of college students.
Simulation and Application Purpose of a Randomized Secret Key with Quantum Key Distribution

Abstract The Quantum Key Distribution (QKD) is a well-researched secure communication method for exchanging cryptographic keys only known by the shared participants. The vulnerable problem of a secret key distribution is the negotiation and the transfer over an insecure or untrusted channel. Novel further developments of the QKD communication method are part of in-field technologies and applications in communication devices, such as satellites. However, expensive physical test setups are necessary to improve new application possibilities of cryptographic protocol involving components of quantum mechanics and quantum laws of physics. Therefore, optical simulation software can play a part in essential QKD simulating and further developing quantum-based cryptosystems. In the paper, the authors consider a feasible QKD setup based on the BB84 protocol to create a symmetric key material based on achieving a linear key rate via optical simulation software. The paper still provides two experimental architecture designs to use the QKD for a cryptosystem.
I carmi encomiastici ed erotici di Bacchilide: classificazione e interpretazione. Note a margine di una recente edizione (e note prese da un commento inedito)

[Bacchilides’ Encomiastic and Erotic Poems: Classification and Interpretation. Notes in the Margin of a Recent Edition (and Notes Taken from an Unpublished Commentary)] The paper is a critical analysis of the edition of Bacchilides’ encomiastic and erotic poems (Carmi encomiastici ed erotici) by Marialuigia Di Marzio (Rome 2020). In a first part, the textual choices of the edition are examined; then, the problem of the classification of fr. 17-*21 Maehler and of the interpretation of fr. *20A is analysed, as well as the interpretation of fr. *20B proposed by the Editor. In addition, the most important aspects of an unpublished commentary on fr. *20A *20B and *20C Maehl. by Alberto Tedeschi are presented here. NB. Contrary to what is announced on p. 537, the paper is complete in its current form and will not be continued in GIF 75 (2023).
Grounds for subjective assessment of academic and teaching staff pay equity

Equity is defined as a correlation between a person's merits and their remuneration. The article deals with social and labour equity, regarding it as a subjective assessment of the ratio of payments for the physical and/or intellectual efforts of employees. The article aims to determine the grounds for the subjective assessment of academic and teaching staff pay equity. The empirical study was conducted in 2019-2020, based on expert interviews with 86 faculty members of leading Russian universities (University of Tyumen, Tomsk State University, Saint Petersburg Polytechnic University, and National Research Nuclear University MEPhI). The expert interview narratives allowed identifying seven categories for assessing subjective perception of pay equity (1) at a corporate level; comparing faculty members (2) in Russia and (3) internationally; (4) in terms of public/business organisations; (5) different spheres of activity; (6) historical periods; and (7) previous positions held either in the same or other organizations. The results show that (1) disparity in pay within a university (between structural units and positions) can reduce motivation or increase career aspirations. A high level of social and labour equity provides a sense of stability and increases organisational productivity. (2) The level of pay equity in Russian universities depends on their prestige and ranking. (3) When comparing the level of remuneration and the workload with their Western colleagues, the respondents were more likely to prioritise Russia. Employees experienced in international academic mobility choose to work in Russia. (4) Compared to other spheres of activity, university wages are mostly lower whereas faculty members appreciate the opportunity to increase their income through active scientific research. (5) The last 3-5 years have seen a positive change in pay equity, with teachers and other jobs compared. (6) Comparison between historical periods shows a positive assessment of the current situation in Russia. However, not all the respondents believe in the long term perspective. (7) Pay at the early career is the lowest, but the teaching and research load is high. Young teachers invest a lot of time in career development, working on their dissertations. Pay equity assessment by teachers of retirement age is high, due to family stability and availability of additional funding (e.g. pension, support by children).
The phenomenology of lifeworld and ancient Greeks

The object of investigation is a description of the phenomenological sense of the lifeworld. The problem is in the formulating of an adequate phenomenological method for disclosing the initial principle of integrity of man in the lifeworld. Research materials are the latest works by Edmund Husserl and by the modern phenomenologist Klaus Held. The research procedure is built as follows. Prelimanarily, I formulate the main problematic thesis by Husserl: a modern person has lost an initial connection to the lifeworld, which is the ground of their human life. Then other main theses by Husserl are formulated: ancient Greeks established a lucky harmony between theoretical philosophy and practical life; during early modern times a clear demarcation is made between the lifeworld and theoretical thinking; Galileo mathema-tized all knowledge; theoretical geodesy appears, leads to the emergence of symbolic forms as ideal entities, and claims for measurement accuracy. I conclude that in a new world picture we deal with a neoplatonic conception that represents objects as mathematized ideal forms measured with a high accuracy and we get a possibility of facts' scientific forecast. At the same time, I show some problems in Husserl's method: firstly, the notion of lifeworld is hard to distinguish from other similar notions such as Umwelt, Lebensumwelt; secondly, the phenomenological reduction method is too universal and formal and cannot discover a specific of the lifeworld in full. Therefore, I undertake an analysis of another phenomenological approach for solving the problem. The main principles of Klaus Held are: firstly, phenomenology is described as a science about appearance in its appearanceness; secondly, his method is genealogical because Held undertakes a phenomenological deconstruction of thinking principles of ancient Greeks through the key figures - Kant and Aristotle -in history of philosophy. I conclude that the principle of ancient Greek's lifeworld is based on pre-Aristotelian understanding of the world as formation, as conversion of elements into each other. A world where we are at home is the world of appearing things, growing by itself, and it can be expressed with a non-predicative language structure. Therefore, one can broadrn the Husserlian understanding of the lifeworld: the lifeworld is a habitual sensual perception of the things in their own appearance.
A study on formant frequencies under different conditions and its effects on forensic speaker identification

Forensic speaker identification is the comparison of known speech samples with the unknown one for the purpose of legal requirement. Various studies have been carried out on the acoustic parameters extracted from the voice signals however these studies were carried out in very controlled manner with limited samples due to the dynamic nature of voice. In this paper, the acoustic features of recorded voice signals of eleven speakers of having similar dialects in both normal reading and natural speech modes were studied using Computerised Speech Lab (CSL) on the basis of different vowel environment. Verbal probability numerical Scaling was worked out on the basis of matching points by using radar diagram pattern and analysed to find out its application in speaker identification. The above method will be simple and firsthand method to make the opinion for the purpose of forensic speaker identification and other forensic identification methods involving more than one parameter.
Development of distance course on geography

The distance learning method appeared a long time ago. Initially, such training was carried out by means of postal communication, and later, with the advent of computer technologies, a modern form of distance education arose. Distance learning is a form of learning in which teachers and students interact using computer and telecommunication technologies remotely from the educational institution; in addition, the independent processing of certain information sources by students is ensured. The purpose of the scientific research is the development of a distance course in geography on the topic "Australia". Until recently, teachers could not even imagine that the educational process would take place outside the school. The pandemic and the war made unexpected adjustments and forced not only teachers, but also students and their parents to quickly master information technologies and new pedagogical approaches and methods. Thus, this research is quite relevant. Education radically and for the first time in history quickly changed the system of the educational process in Ukraine from face-to-face to distance and mixed, taking into account the events taking place in the world. Distance learning has entered our lives with sure steps, along with a number of changes and problems that have appeared over time. This process consists of components of open Internet resources that provide technological reserves for the use and adaptation of the educational community of consumers for non-commercial purposes. Thus, education using such a learning mechanism should be of high quality, so it is important to find the right platforms for effective learning. The developed course will contribute to the formation of students' ideas about general geographical patterns based on the study of similar and distinctive features of the nature of the continent, will help to better understand the peculiarities of the interaction of society and nature. For teachers, it will be the main or auxiliary material in the formation of their lessons and educational materials. In the future, these knowledge and skills can help to understand events in the world, consciously use a variety of information, and most importantly - to protect our planet.T
Elements of R

THE SOFTWARE PACKAGE Rhas become very popular over the past decade for good reason. It has open source, meaning you can examine exactly what steps the program is performing. Compare this to the “black box” approach adopted by so many other software packages whose authors hope you will just push the Enter button and accept the results. Another feature of open software is if you identify a problem, you can fix it, or at least, publicize the error until it gets fixed. Finally, once you become proficient at R you can contribute to it. One of the great features of R is the availability of packages of programs written by R users for other R users. Best of all, R is free for the asking and easy to install on your computer.
Automatic Image Captioning Using Ensemble of Deep Learning Techniques

A picture can represent thousands of words. This proverb is indeed true. What can’t be described in words can be conveyed by images almost effortlessly and effectively. This paper aims at providing a framework that can help generate descriptions of images. Automatically describing an image is a problem that falls under both the fields of computer vision and natural language processing. This problem applies to virtual assistants for indexing images, editing tools, and disabled people’s support. Its difficulties stem from the ambiguity and diversity of possible descriptions of a picture because people can describe an image from various angles. We used deep learning techniques like Convolutional Neural Network combined with long short-term memory (LSTM). We have trained the model using the dataset Flicker8K and then evaluated our model using standard metrics, which are the BLEU-1 metric. The experimental results provide comparable results to the standard.