Reviewerly/exHarmony huggingface dataset:
The Ratio Method: A Heuristic Approach to Addressing Complex Tort Liability Frameworks in the Fourth Industrial Revolution

Technological innovation is a fundamental driver of economic productivity and human progress. While foundational U.S. economic and legal principles effectively catalyze American innovation, they do not adequately account for technological progress outpacing regulators’ ability to control for associated negative externalities.Emerging technologies in the Fourth Industrial Revolution show fundamental promise for improving the means of production and quality of life, but may also cause significant social disruption—including via sophisticated cyberattacks; automation-driven labor-displacement; and the corruption of human and pathogenic gene elements. In many instances, only specialists understand the underlying technical processes. This results in a knowledge gap for legislators—who are tasked with drafting effective policy frameworks, and judges—who are tasked with interpreting and applying these frameworks to ever-more complicated technologies, the details of which are important to arriving at the correct legal outcome.This is not the first time the U.S. legal system has been challenged to adapt its tort doctrines to respond to the societal risks of innovation. A central assumption of these adaptations has been that civil liability controls for the disruptive effect of technology by reapportioning costs to those best suited to avoid them, while correcting for instances in which good faith care-taking efforts nonetheless fall short. Our Article proposes a heuristic method for assessing coherent liability frameworks to optimize liability policymaking for the Fourth Industrial Revolution. This method utilizes variables of economic and legal significance from precedential regulation, and is applied herein to contemporary legal issues associated with Artificial Intelligence (AI), the Internet of Things (IoT), and CRISPR-Cas9 genome editing to demonstrate the method’s efficacy.
A media educational concept of the formation and continuous development of personal readiness for self-learning during the life

The continuous increase of media information volume in the personal and professional individual space with constantly improving mechanisms of its management and distribution, the accelerated penetration of media technologies into various spheres of human life and activities, the ever-growing influence of the media environment on people’s consciousness actualize the problem of preparing a person with highly developed media educational competences, that is capable for continuous self-learning. This significance is especially evident in connection with the difficult people living conditions during periods of epidemics and pandemics. The article describes the media educational concept of the formation and development of lifelong self-learning personal readiness. It assumes dynamic, factor and competence-based aspects of the realization, which accordingly take into account the stages (phases, levels) of the formation and development of this readiness, the factors of the relationship between the person and the environment of his/her development, as well as a certain content from the standpoint of acquiring the necessary personal self-learning competences. The concept will allow lecturers and universities’ administration to successfully design pedagogical activities to form a media-competent person, ready for continuous self-learning throughout life.
Boosting federated learning in optical networks for edge computing

This invited talk will introduce several useful means to boost federated learning carried out over passive optical networks for edge computing. One way is to introduce bandwidth slicing that is able to reserve network resource dedicated to the learning task and can well address the issues brought by stragglers during the training process. Another way is to devise aggregation function carried out at intermedium network nodes capable of significantly reducing the amount of traffic to be exchanged for global training while not impacting the learning performance. Simulation results show that the FL training efficiency can be significantly improved while achieving the same level of learning accuracy. For the specific FL task implemented in the context of edge computing, the training time can be saved up to 36 % to achieve the maximum learning accuracy.
Multi-Resource Fair Allocation In Heterogeneous Cloud Computing Systems

A Multi-Resource Fair Allocation Mechanism, Also Called Per-Server Dominant Share Fairness (PSDSF), Which Is Appropriate To Heterogeneous Servers In The Occurrence Of Position Restraint. The Instinct Following PSDSF Is To Imprison The Collision Of Server Heterogeneity By Compute The Entirety Allocated Possessions To Each User Clearly From The Outlook Of Each Server. Particularly, PS-DSF Makes Out A Practical Dominant Share (VDS) For Each User With Deference To Each Server As Opposed To A Single System-Wide Dominant Share In DRF. Capable And Fair Resource Distribution In Such A Collective Computing System Is For The Most Part Exigent Since Of The Incidence Of Multiple Types Of Resources, Multiplicity In The Workloads’ Needs For These Possessions, Heterogeneity In The Resource Capacities Of Servers, And Assignment Restraint On Which Servers May Be Used By A Workload.
Character sums over a non-chain ring and their applications

Some valuable results over rings have a promising utilization in coding theory and error-correcting code theory. In this paper, we study character sums over a certain non-chain ring and their applications in codebooks. There are two major ingredients in this study. The first ingredient is to investigate Gaussian sums, hyper Eisenstein sums, Jacobi sums over a certain non-chain ring and study the properties of these character sums. For their applications, the second ingredient is to present three classes of asymptotically optimal codebooks with respect to the Welch bound and a family of optimal codebooks with respect to the Levenshtein bound, which are constructed from character sums over a certain non-chain ring.
The Memory of N.Ya. Danilevsky in Crimea

The article describes the painstaking work in Crimea during three dozen years to perpetuate the memory of N. Ya. Danilevsky by promoting his works and ideas, organizing and conducting many readings and conferences devoted to the creative heritage of the Russian thinker. Moreover, the author tells about the efforts of the Crimean community and the scientist’s descendants to locate and improve the burial place of N.Ya. Danilevsky and to put up a monument to him.
Shifting How We Think

Can law keep up with runaway technology? In an era of runaway corporate surveillance, artificial intelligence, deep fakes, election hacking, social media disinformation, do-it-yourself biology, genetic modification, automation, and three-dimensional printed medical implants, law has seemed to take a back seat to rampant technological change. To listen to Silicon Valley barons, there is nothing any of us can do about it.CAN LAW KEEP UP? calls their bluff. The book provides a fresh look at law, at what it actually is, how it works, and how we can create the kind of laws that help humans survive and thrive in the face of technological change. It shows that law can keep up with technology because law is a kind of technology – social technology built by humans out of cooperative fictions like firms, nations, or money. To survive the challenges of the future, we need a new kind of law, and a new way of understanding how humans use language to cooperate, to build an ever-growing and ever-changing system of understandings about how we can secure the benefits of changing technology to all.
A Bi-clausal Approach to Coordinated Wh-questions in Korean

According to Citko & Gracanin-Yuksek (2013), there are three different structures in a new typology of coordinated wh-questions (CWHQs): mono-clausal, bi-clausal with bulk sharing, and bi-clausal with non-bulk sharing. This paper presents a non-bulk sharing bi-clausal approach to Korean CWHQs, which is a modified version of Citko & Gracanin-Yuksek’s original structure. Our analysis has two strong advantages against the existing studies about wh-in-situ languages (Kasai 2016; Jung 2018, inter alia). First, from a theoretical perspective, it does not need any stipulated syntactic mechanism such as sideward movement or backward ellipsis. Second, from an empirical perspective, it can account for some of the syntactic or semantic puzzles appearing in the previous analyses. The Korean CWHQ structure involves focus movement of each of wh-phrases contained in different vPs. The target position of focus movement is the specifier and complement position of &0, a head of &P, which requires focused wh-phrases. This paper argues that a bi-clausal structure is a better option in analyzing Korean CWHQs.
Cutoff for the asymmetric riffle shuffle

In the Gilbert–Shannon–Reeds shuffle, a deck of N cards is cut into two approximately equal parts which are riffled together uniformly at random. Bayer and Diaconis (Ann. Appl. Probab. 2 294–313) famously showed that this Markov chain undergoes cutoff in total variation after 3log(N) 2log(2) shuffles. We establish cutoff for the more general asymmetric riffle shuffles in which one cuts the deck into differently sized parts. The value of the cutoff point confirms a conjecture of Lalley from 2000 (Ann. Appl. Probab. 10 1302–1321). Some appealing consequences are that asymmetry always slows mixing and that total variation mixing is strictly faster than separation and L∞ mixing.
Managing Multi-task Dialogs by Means of a Statistical Dialog Management Technique

One of the most demanding tasks when developing a dialog system consists of deciding the next system response considering the user’s actions and the dialog history, which is the fundamental responsibility related to dialog management. A statistical dialog management technique is proposed in this work to reduce the effort and time required to design the dialog manager. This technique allows not only an easy adaptation to new domains, but also to deal with the different subtasks for which the dialog system has been designed. The practical application of the proposed technique to develop a dialog system for a travel-planning domain shows that the use of task-specific dialog models increases the quality and number of successful interactions with the system in comparison with developing a single dialog model for the complete domain.
K-W-L: A STRATEGY ON IMPROVING STUDENTS’ READING COMPREHENSION

The main purpose of this research was to obtain empirical evidence on the impact of the K-W-L strategy on students’ reading comprehension. The research employed a quasi-experimental design intended to obtain the requisite empirical proof. The population was the students of the eighth grade students of MTs. Daarul Hikmah, Pamulang. To obtain this aim, the research consisted of 44 students selected by purposive sampling. They divided trough two groups, experimental and controlled group. As the system design, the experimental group was taught reading by K-W-L strategy as the treatment while another group was not given the treatment. The test was performed at the start and end of treatment that called by pre-test and post-test. Moreover, the t-test result of the gained score study, created from the different between pre-test and post-test, showed that the mean of experimental group score was higher than the controlled group. The score difference was 7.27 points. In addition, the value (2-tailed) or p was lower than alpha, p 0.05. This means that the use of the K_W-L strategy was successful in improving the reading comprehension of Descriptive text by the eighth grade students of MTs Daarul Hikmah, Pamulang.
Six-Wheeled Wireless Bomb Defusal Rover

This chapter presents a rover, which is capable of moving over rough terrain and debris to reach on to any explosive or potential life-threatening devices and help the user to study or monitor the characteristics of the device using a wireless live-feed camera. The proposed rover is equipped with a robotic arm armed with four degrees of freedom and sharp serrated blades to chop off any electrical connection to effectively defuse any potential bombs or explosive objects without risking any human life. Considering the mars rover’s suspension mechanism, the rover’s suspension was developed in such a way that it would have 90-degree freedom on four of its wheels having the rover’s own multisuspension. Thus, can move on any sort of terrain like rough surfaces, broken roads, muddy terrain, and most importantly can climb stairs. There are 6 wheels those have been implemented for the rover’s movement. The front 2 wheels act as support structure for the robotic arm and the rover itself, while the other 4 rear wheels act as climbers and help the rover to climb on challenging surfaces. The rover is programmed in such a way that allows the rover to turn and also letting the rover have superior maneuverability by allowing it to rotate 360° at one spot instantly.
Red Dot Determination with 6 Axis ABB Robot Arm

The general aim of this study is to determine the positions of the red points on the surface using techniques of real-time image processing via the camera and user interface mounted on the 6-axis robot arm. The robot arm movement is performed in the simulation environment ABB RobotStudio. 2D Webcam camera is used in the red point detection process. Detection of the red point is done via the interface in MATLAB, depending on three axes. Using the current position of the robot and the image it receives from the camera, the interface detects the correct place of the red point. This process is made using the prepared mathematical formula according to the camera's position. The X, Y , and Z coordinates of the red point can be found on flat surfaces of all shapes with developed software. The goal of this study is to prepare red point detection environment based on six axes.
Determining Context Factors for Hybrid Development Methods with Trained Models.

Selecting a suitable development method for a specific project context is one of the most challenging activities in process design. Every project is unique and, thus, many context factors have to be considered. Recent research took some initial steps towards statistically constructing hybrid development methods, yet, paid little attention to the peculiarities of context factors influencing method and practice selection. In this paper, we utilize exploratory factor analysis and logistic regression analysis to learn such context factors and to identify methods that are correlated with these factors. Our analysis is based on 829 data points from the HELENA dataset. We provide five base clusters of methods consisting of up to 10 methods that lay the foundation for devising hybrid development methods. The analysis of the five clusters using trained models reveals only a few context factors, e.g., project/product size and target application domain, that seem to significantly influence the selection of methods. An extended descriptive analysis of these practices in the context of the identified method clusters also suggests a consolidation of the relevant practice sets used in specific project contexts.
Open Set Domain Adaptation Using Optimal Transport

We present a 2-step optimal transport approach that performs a mapping from a source distribution to a target distribution. Here, the target has the particularity to present new classes not present in the source domain. The first step of the approach aims at rejecting the samples issued from these new classes using an optimal transport plan. The second step solves the target (class ratio) shift still as an optimal transport problem. We develop a dual approach to solve the optimization problem involved at each step and we prove that our results outperform recent state-of-the-art performances. We further apply the approach to the setting where the source and target distributions present both a label-shift and an increasing covariate (features) shift to show its robustness.
Towards the ultimate limit in transmission estimation

The minimum possible uncertainty when estimating a parameter, in this case transmission, is bounded by the quantum Cramér-Rao bound (QCRB). This bound is independent of the measurement technique and as result can be used to quantify how close a measurement is to the optimal one for a given system and probing state, as an optimal measurement saturates the QCRB. The ability to perform transmission measurements through an optical system at the QCRB can lead to enhancements in the calibration of optimal states for interferometers, the characterization of high efficiency photodetectors, or the sensitivity of sensing devices based on transmission, such as plasmonic sensors or spectroscopy. We show theoretically that the ultimate sensitivity limit per photon in the estimation of transmission, achievable with Fock states or vacuum two-mode squeezed states (vTMSS), can be approached through the use of bright quantum states of light, such as bright single-mode squeezed states (bSMSS) or bright two-mode squeezed states (bTMSS). The use of bright quantum states has the advantage that they can be generated with a significantly larger number of photons, which leads to an absolute sensitivity that can be many orders of magnitude larger than the one achieved with Fock states or vTMSS. We identify a measurement strategy that saturates the QCRB for these bright quantum states and shown experimentally that transmission estimation at the QCRB can be achieved with bTMSS through optimized intensity difference measurements.
A Novel Deep learning and Machine Learning powered approach for Image Forgery Detection

In this digital era, the digital images are utilized as a clear transporter of visual data. Digital images has become highly pervasive in our day-to-day lives. The outstanding inclusion of advanced pictures are observed in several elementary fields like clinical science, criminal examination, and so on, wherever the authenticity of picture has gained indispensable significance. Totally different apparatuses are accessible and liberated from price or with the immaterial lives of cost for dominant images. Image forgery detection is always considered as a troublesome territory of examination. It is clear that the acceptable quality work has exhausted the previous decade in the field of image forgery discovery. Image fraud identification and utilization of customary algorithmic programs sets aside a lot of effort to get phonies. A hybrid deep learning (DL) and machine learning-based approach is employed during this analysis to passive image forgery detection. A Deep Learning algorithm is used to segregate pictures into copied and not copied classifications, although color lightweight restricts exist. The proposed research work paves way for the placement of Image forgery to utilize a profound neural network algorithm.
Conservation of Metalic Objects: A Case Study of Old Silver Coin

India is a land of rich cultural as well as natural heritage presents both in tangible and intangible forms. This rich heritage needs to be preserved and safeguarded for future generations. Lots of culture and many cultural objects testify this. These objects can be anything like metal, pottery leather or anything else which possesses cultural value, aesthetic value, economic value or historical value. These cultural objects can be beneficial only if they are taken care of properly so that they can be prevented from deterioration. Metal conservation is activity dedicated to the protection and preservation of historical and archaeological object made partly or entirely of metal. All methods cannot be applied to all objects as such. Research has to be done before the technique is applied in the conservation and restoration of metal objects. If we talk about the coins so these coins also play the great role in the various studies like Anthropological, Historical and other studies. Present paper is based on a case study of old and corroded silver coin from the personal collection of one of the authors. This study was carried out at home during Covid-19 Pandemic. In this paper we also talked about the documentation, complete conservation and restoration processes of silver coin.
Model of Ethnic-Cultural Interaction of Youth in Education Spaces: Conceptual Basics and Empirical Reality

In the context of modern changes in Russian society associated with population migration and an increase in the cultural heterogeneity of society, it becomes necessary to create conditions for the interaction of young people of different ethnic groups and cultures. The article proposes a model of ethnocultural interaction of youth in the educational space, which is being tested on the basis of the Institute of Childhood of the Novosibirsk State Pedagogical University. The purpose of the article is to substantiate and describe a model of ethnocultural interaction of youth in the educational space, which will allow minimizing intolerant manifestations in the youth environment, as well as allowing students to effectively interact in a multicultural space. Methodology. The modeling method and design approach were used. They made it possible to correlate the actual processes of ethnocultural interaction of young people in the educational space and the increase in ethnic culture among young people. The methodological basis of the research includes: approaches to defining the essence of ethnocultural interaction Yu.V. Harutyunyan, L.M. Drobizheva, N.M. Lebedeva, G.U. Soldatova, T.G. Stefanenko, A.A. Susokolova, O. I. Shkaratan, etc. Results. The research has shown that at present there is an objective need to implement the tasks of forming a culture of interethnic communication in the student environment. The proposed model, from the point of view of the authors, allows solving these problems. Conclusion. The tasks set in the study were solved. The results obtained can be used in the educational process of higher educational institutions.
Consecuencias a largo plazo en pacientes con infección por SARS-CoV-2: Síndrome Post Covid-19

From the pandemic generated by the SARS-CoV-2 infection, many people in the world have been affected by suffering from Covid -19. The new coronavirus has been fought in different ways using a wide range of drugs that has managed to mitigate the disease in 97.8% of the cases reported worldwide. However, there are a set of conditions associated with Covid -19 that manifest themselves later known as Post Covid-19 syndrome. The present research aims to carry out a systematic mapping on the long-term consequences in patients infected by SARS-CoV-2. For the development of the research, the content analysis scientific method was used from the information available in impact databases such as IEEE, Scielo, Scopus and Thomson Routers. As a result, the main affectations recognized in the scientific literature are classified as well as the main sources that corroborate the analyzed data.
The Development of Educative Game “Word Find” for Instructional Media Based on Android at Elementary School

The background of the research was the use of educative game which used as instructional media based on android was rarely use even though 21st century instructional, instructional model and instructional media did not have limitation and done by helping of technology information and communication.