Reviewerly/exHarmony huggingface dataset:
An Audience with a Hero: A Conversational VR Experience

Using virtual reality, the aim of the “Audience with a Hero” project was to develop and test new production processes which would enable audiences to experience a meaningful meeting with a “hero” in virtual space. Allowing the “hero” to share their personal story and answer questions in real time, but from pre-recorded content, this encounter provided each audience member with a personal face-to-face experience. Rooted in human conversational encounters, “Audience with a Hero” sought to transform the way in which these “meetings” could be produced in order to maximise efficiency and effectiveness in the creation of immersive experiences to engage audiences with the lives, knowledge, and talent of unique people.
Providing Options with Links and Menus

At one time, apps just needed buttons to let the user choose commands. As iPhone and iPad apps started getting more sophisticated, the need for alternate ways to allow the user to select commands has grown as well. Two common ways to display commands for users to select are links and menus.
Safety Is Everything: Design of an AR∙VR Training Simulator for Radiation Emergency Response

Due to the special nature of radiation, the current training programme for nuclear disaster prevention is limited to the actual description of a nuclear disaster and radiation emergency in the real world. Therefore, it is necessary to develop an education and training system that improves the radiation disaster prevention skills of personnel based on virtual augmented reality. The aim is to improve the effectiveness of radiation safety measures by developing virtual augmented reality training content that can be used to learn and train the necessary techniques, decision-making, etc., in medical response to radiation emergencies.
Features of professional pedagogical competence english teacher

Today, the worldview trend in Ukraine is the active integration of scientists into the educational community, in the context of which there is a need to provide qualified specialists with a high level of English-language professional competence. The point is to improve the level and quality of training of specialists in higher education institutions of Ukraine who are able to professionally solve the problems facing the State and are able to protect its interests. The purpose of the article is to substantiate the features of the professional pedagogical competence of an English teacher. It has been found that the development of English language competence is a key condition for the training of a competitive specialist. In today's society, specialists with English language skills and abilities are more maneuverable and successful in the current legal environment. Such teachers effectively carry out extensive work activities, while being socially adapted at all times, and are in great demand among specialists in the international community. However, the issue of English language competence in the professional training of English teachers is still not sufficiently studied. The article presents a model of the key components of the English teacher's pedagogical competence, which is determined by the composition of such components as information, communicative, productive, autonomization, moral, psychological, subject matter, social, mathematical competence and personal qualities of the teacher. The article analyzes the qualitative language training of students on the use of modern educational technologies (multimedia technologies, information and communication, Internet resources in the context of forming students' audience competence), which involve the use of telecommunication and information technologies, in particular, in working with educational computer programs for learning foreign languages and using Internet resources.
Handling Errors

In a perfect world, you would write code, run it, and it would work exactly as you expected. Unfortunately, we don’t live in a perfect world, and in our world, writing software is never simple and easy. In most cases, you’ll write code that almost works, but not quite. Then the majority of your time will be spent trying to tweak your code to make it finally work the way you want.
LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification

Although the security of automatic speaker verification (ASV) is seriously threatened by recently emerged adversarial attacks, there have been some countermeasures to alleviate the threat. However, many defense approaches not only require the prior knowledge of the attackers but also possess weak interpretability. To address this issue, in this paper, we propose an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">attacker-independent</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">interpretable</i> method, named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">learnable mask detector</i> (LMD), to separate adversarial examples from the genuine ones. It utilizes score variation as an indicator to detect adversarial examples, where the score variation is the absolute discrepancy between the ASV scores of an original audio recording and its transformed audio synthesized from its masked complex spectrogram. A core component of the score variation detector is to generate the masked spectrogram by a neural network. The neural network needs only genuine examples for training, which makes it an attacker-independent approach. Its interpretability lies that the neural network is trained to minimize the score variation of the targeted ASV, and maximize the number of the masked spectrogram bins of the genuine training examples. Its foundation is based on the observation that, masking out the vast majority of the spectrogram bins with little speaker information will inevitably introduce a large score variation to the adversarial example, and a small score variation to the genuine example. Experimental results with 12 attackers and two representative ASV systems show that our proposed method outperforms five state-of-the-art baselines. The extensive experimental results can also be a benchmark for the detection-based ASV defenses.
Using the Navigation Stack

Only the simplest apps consist of a single screen such as the Calculator app. However, most apps usually need two or more screens to display information. In SwiftUI, you can define each screen of your app’s user interface by creating a separate structure. Then you need to provide a way to jump from one screen to another.
How to Sample From the Limiting Distribution of a Continuous-Time Quantum Walk

We introduce <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula> -projectors, using which we can sample from limiting distributions of continuous-time quantum walks. The standard algorithm for sampling from a distribution that is close to the limiting distribution of a given quantum walk is to run the quantum walk for a time chosen uniformly at random from a large interval, and measure the resulting quantum state. This approach usually results in an exponential running time. We show that, using <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula> -projectors, we can sample exactly from the limiting distribution. In the black-box setting, where we only have query access to the adjacency matrix of the graph, our sampling algorithm runs in time proportional to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta ^{-1}$ </tex-math></inline-formula> , where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula> is the minimum spacing between the distinct eigenvalues of the graph. In the non-black-box setting, we give examples of graphs for which our algorithm runs exponentially faster than the standard sampling algorithm.
Accessing the Photos Library

One of the most useful accessories on every smartphone has been the camera. Each year, the iPhone camera improves to the point of capturing high-quality images with resolutions that rival professional cameras of just a few generations ago. Not surprisingly, the camera is one of the most popular hardware accessories for an app to access and control.
Translating with Localization

Most people create apps in their native language, but if you translate your app into other languages, you could sell and distribute your app to other parts of the world. Translating text from one language to another requires an experienced translator, but from a technical point of view, how do you create a single app and let it display different languages?
Using Grids

A Text view is fine for displaying strings, and an Image view is perfect for displaying graphics. However, what if you want to display multiple chunks of data on the screen? That’s when you can use a grid that can display data in rows (horizontally) or columns (vertically) as shown in Figure 19-1.
Sharing Data Between Structures

When creating a simple iOS app, SwiftUI relies on a single structure to define the user interface. Within this structure, you can define State variables that different user interface items (Sliders, TextFields, Toggles, etc.) can access and modify.
CoTree: A Side-Channel Collision Tool to Push the Limits of Conquerable Space

By introducing collision information into divide-and-conquer distinguishers, the existing collision-optimized side-channel attacks transform the given candidate space into a significantly smaller collision space, thus achieving more efficient key recovery. However, the candidates of the first several subkeys shared by collision chains are still repeatedly detected, which happens very frequently and brings huge computational overhead. To alleviate this, we propose a highly efficient collision-optimized attack named collision tree (CoTree). This collision detection tool exploits tree structure to store the chains created from the same subchain on the same branch, thus significantly reducing the storage requirements. It then benefits from the properties of both tree and collisions and exploits a top-down tree building procedure and traverses each node only once when detecting their collisions with a candidate of the subkey currently under consideration. Finally, unlike the traditional top-down node removal, CoTree launches a bottom-up branch removal procedure to remove the chains unsatisfying the collision conditions from the tree after traversing all the considered candidates of this subkey, thus avoiding the traversal of the branches satisfying the collision condition. These strategies make our CoTree significantly alleviate the repetitive collision detection, and our experiments verify that it significantly outperforms the existing works.
SeLo v2: Toward for Higher and Faster Semantic Localization

Semantic localization (SeLo) refers to locating the most relevant position in the Remote Sensing (RS) image based on the semantic information contained in the retrieved text, which is an emerging task based on cross-modal retrieval. SeLo achieves pixel-level semantic retrieval through caption-level annotations, which plays an important role in RS image-text retrieval. Although there are some researches on SeLo tasks at present, the current SeLo framework is still quite violent, which consumes a lot of resources. In this paper, based on the existing work, we conduct a more in-depth exploration and propose SeLo v2, which greatly improves the speed and accuracy of the SeLo task. First, based on the characteristics of regional consistency of remote sensing images, a multilevel likelihood expansion (MLE) is proposed to reduce the number of cross-modal similarity calculations, and the speed of SeLo task is greatly improved by combining single-scale clipping with multi-point multi-scale expansion. Next, to enhance the accuracy, we come up with the chaotic self-feeding mechanism (CSM), which performs semantic frequency enhancement to fully extract the semantic information contained in the caption, making the generated SeLo map more detailed and accurate. Compared with the initial SeLo framework, SeLo v2 has better semantic localization performance with only half the time consumed, which shows the great advantages of SeLo v2 in terms of time and accuracy. The proposed SeLo v2 is available at Link.
Using Alerts, Action Sheets, and Contextual Menus

Almost every app needs to display and accept data from the user. The simplest way to display data is through a Text view, but sometimes you need to display data and give the user a way to respond. In that case, you can use an Alert or an Action Sheet. Yet another way to display options to the user are contextual menus.
Theoretical analysis of the application of the technological-creative approach in the training of future teachers of primary grades

In the article, based on the analysis of scientific sources and empirical material, a theoretical analysis of the problem of applying the technological-creative approach in the training of future primary school teachers is carried out. It is substantiated that the application of the technological-creative approach in this training at the theoretical level involves giving creativity to the traditional criteria of the technology of learning and the structure of this process, that is, the creative orientation of all educational procedures on the guaranteed achievement of creative educational goals, diagnostically set creative goals, current and final assessment of creative results etc. Reproducibility, as one of the key criteria for the technology of the educational process, is provided by a clearly understandable description of all actions and materials in the process of forming the readiness of future primary school teachers to use creative learning technologies. However, the most difficult is the process of algorithmization, which is generally incompatible with the essence of the concept of "creativity" of students. A number of problems of the application of the technological and creative approach in the training of future primary school teachers are highlighted: the orientation of the traditional system of this training on reproductive-type training, despite the long-term implementation of the competence approach; lack of development of motivation for creative educational activity of future primary school teachers; teachers' efforts to avoid planning creative tasks; inconsistency at the theoretical level of the essence of definitions of the context of the application of the technological-creative approach in the training of future primary school teachers ("technology" and "methodology"); the prospect and danger of maximum computerization of the educational process in institutions of higher education, which calls into question the need for creativity of future primary school teachers and, in general, the possibility of replacing the position of a teacher. The introduction into practice of training future teachers of primary grades of creative learning technologies requires a deep analysis of the scientific foundations, basic categories of learning technology; adoption of a number of decisions regarding material and financial costs; labor intensive, increasing the teacher's workload; adjustment of the technological and creative approach to the organization of training, which always involves creativity.
Integrating SwiftUI with UIKit

The previous way to create user interfaces was to rely on storyboards and the UIKit framework. While storyboards and UIKit have been around for years, Apple is encouraging developers to migrate to SwiftUI. Not only is SwiftUI adaptable to different screen sizes without requiring a lot of work, but SwiftUI can create user interfaces with far less code than storyboards or UIKit.
Controllable Clothoid Path Generation for Autonomous Vehicles

This letter proposes a novel and simple smooth path generation algorithm for autonomous vehicles. The proposed method can rapidly generate feasible and curvature continuous paths connecting any two given states with null curvature. The generated path comprises straight lines, circular arcs and clothoid segments that are close to human driving behavior. Moreover, while keeping an accurate connection with the boundary states, the proposed method also allows fine-tuning the curve with the maximum curvature of the path and the midpoint’s position, which makes it more flexible in avoiding obstacles while keeping feasibility. Various experiments show that the proposed method has extremely low time consumption and high robustness for different conditions. Meanwhile, it is more flexible than the recent research and the spline-based methods.
Development of a Motion Controller for the Electric Wheelchair of Quadriplegic Patients Using Head Movements Recognition

The robotic wheelchair is designed to allow independent movement for patients with severe musculoskeletal and neuromuscular disorders that interfere with normal wheelchair propulsion by hands. Control of the movement of the wheelchair necessities residual motion of the upper extremity which was not applicable for patients with upper extremity disability as in Quadriplegic patients. Several research efforts have been proposed to help quadriplegic patients independently use the robotic wheelchair. However, the proposed solutions had many problems with accuracy, simplicity, and cost. The current work aims to build an accurate, simple, and low-cost control system for robotic wheelchairs using head movement. The proposed system was based on the use of the MEMs Inertial measurement unit (IMU) to sense the head movement gestures and transfer the gestures into signals to control the wheelchair movements. A new lightweight algorithm for the detection of head gestures was proposed to improve the system’s accuracy. The proposed system has been applied and tested on volunteers. The results revealed that the accuracy of the proposed method in recognizing head movement was 97% on average.
Debugging Code

In the professional world of software, you'll actually spend more time modifying existing programs than you ever will creating new ones. When writing new programs or editing existing ones, it doesn't matter how much experience or education you might have because even the best programmers can make mistakes. In fact, you can expect that you will make mistakes no matter how careful you may be. Once you accept this inevitable fact of programming, you need to learn how to find and fix your mistakes.
Get the implementation of the leader potential of special types of successful people: an analytical look

The article analyzes the research and advice of foreign scientists, especially successful in various aspects of social and professional activity, on the problem of realizing the leadership potential of an individual. Particular attention is paid to the fact that a leader is a person who notices changes in certain trends, predicts the future and accordingly transforms the content and vector of his activity. It is claimed that a leader is a person who knows how to implement new things in a timely manner, changing the unproductive. On the basis of the conducted research, the personal traits of an effective leader are singled out, which include dynamism, sociability, receptivity, reliability, willingness to agree, etc. The conceptual approach to defining the phenomenon of leadership from the standpoint of a clinical paradigm (psychoanalysis, psychotherapy, developmental psychology, family system theory) is thoroughly analyzed, which, in turn, forms the basis for analyzing the behavior of people in teams and organizations. A special place is given to the cross-cultural study of leadership as a phenomenon, the conditions of implementation and characteristics of which are dictated by territorial, national, and regional characteristics. The significance of the emotional potential of the organization in achieving success is substantiated, the concept of emotional intelligence, emotional expression, and charismatic leadership is briefly revealed.
Enhanced Light Field Reconstruction by Combining Disparity and Texture Information in PSVs via Disparity-Guided Fusion

Dense Light Fields (LFs) can be reconstructed based on a few sparse views. One popular pipeline is the explicit-depth-based pipeline, which first estimates disparity maps using the existing sparse views and then produces the object texture of the target views by warping the relevant information from the given sparse views. However, due to errors in disparity estimation, such a solution often loses object details. Such problems, particularly in regions of small disparity, can be sorted out by estimating the texture without disparity estimation using the so-called implicit-depth-based pipeline. This work integrates both pipelines. It will adapt to the disparity status in the local region and automatically adjust the LFs produced by both pipelines through disparity-guided fusion. In addition, plane-sweep volumes (PSVs) are exploited for handling the given sparse view information, which can reliably decouple the disparity and texture information into different dimensions. In this way, it can best supply the relevant information to the explicit-depth-based and implicit-depth-based pipelines, respectively. The proposed solution shows superiority in various LF reconstruction tasks in our experiments.
Fuzzy-Enhanced Optimization Algorithm for Blockchain Mining

In recent years, blockchain performance plays a major role in many applications. Blockchain maintains a public ledger which contains the authenticated transactions, and also, the completed transactions were hooked up; here, the mining process is mandatory for verifying and placing the transaction in the chain. The approval time for each transaction is rising because of limited mining process capability. Several frameworks and methodologies were proposed to alleviate this problem yet they all have come up with their own limitations. In this paper, a new fuzzy logic methodology has been introduced which can regulate the mining capacity dynamically based on the congestion issues. Here, a novel procedure does not need the block size or block mining duration. The proposed methodology can efficiently handle the block when the transaction congestions were occurred. This paper describes the upgrading of TPS and how to handle the difficulty levels with consideration of CPU, memory, and nodes utilization. In addition, this paper analyzes the average active nodes and average transaction latency for significant process. This paper projects the simulation results that are comparing the execution of traditional single or binary blockchain performance.