Reviewerly/exHarmony huggingface dataset:
Basic Diagnostic Data Analysis

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.
Can Collaborative Teaching Increase Students’ Motivation and Satisfaction in Learning a Third Language?

The pandemic has forced universities to change their teaching and learning activities. One of the teaching delivery methods being widely used is collaborative teaching. This study seeks to understand how collaborative teaching influences learners' motivation and satisfaction in learning Arabic as a third language. 466 responses were gathered from students in the largest university in Malaysia. The results of PLS-SEM suggest that learners' motivation and satisfaction can be predicted by the collaborative teaching method. Recommendations of future research and implications of the study are also provided. Keywords: Arabic Language Communication; motivation; learning satisfaction; collaborative teaching approach eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI7%20(Special%20Issue).3803
Optimize DGL Operations on x86-64 Multi-Core Processors

Modern x86-64 processors have strong performance due to long vector units. Therefore long vector units are widely used in CNN-like neural network model inference on modern x86-64 processors. However the performance of GNN inference on modern x86-64 processors is poor. Unfortunately, with the development of GNNs and the increase of graph datasets, GNN inference performance meets the serious challenge on x86-64 processors. In this paper, we study the problem of poorly optimized DGL-based GAT models on the x86-64 platform, and analyze the main performance bottlenecks in this case. In order to optimize the performance of DGL on the two main x86-64 platform CPUs of Intel and AMD, we implement a simple and effective task allocator to balance the task load among multiple cores and use vector instructions to optimize the core operators in DGL. In addition, we also propose corresponding optimization ideas for the NUMA architecture. The experimental results show that our optimization method improves the performance of the basic DGL version by up to 3.12x and 2.6x on Intel and AMD platforms.
Highlighting the Pragmatic Deviations in the Speech of Paranoid Schizophrenic Patients in Cameroon

This study sought to bring to the limelight some Pragmatic deviations in the speech of some Paranoid Schizophrenic patients in Cameroon. In this study, paranoid schizophrenia was to be examined from an African perspective in general and from a Cameroonian perspective in particular. Therefore, the goal of the study was to document the various pragmatic errors that patients made in their actual speech and thought processes. The study was carried out on 09 patients in the Jamot hospital, situated at the Mballa II neighbourhood in the Centre Region of Cameroon (Yaoundé). The hospital has a Psychiatric unit that receives patients from all over the country; it was the best place to conduct the study because it allowed us to work with patients from almost every region of the country. Data was gathered through interviews and active observation.The quantitative and qualitative methods were used to analyse the data. This study showed that individuals with schizophrenia actually experience traits like mental content and genuine linguistic or communication difficulties. Despite the difficulties these patients experience, with the right care and support, they can be reintegrated into society and resume their normal lives. We recommend for the training and placement of linguists in hospitals to collaborate with medical staff. This will help with language disorder diagnosis.
Destructive Controlled Phase Gate using Linear Optics

Two nonlinear sign gates can be combined to implement a controlled-phase gate using only linear optics. We propose a destructive controlled-phase gate for single-rail target qubits requiring the use of a single nonlinear sign gate.
The Impact of New Technologies on Taking Evidence in Civil Court Procedures

This article discusses the impact of the coronavirus epidemic, which has caused economic stagnation and restrictions on access to justice. The digitization of justice has been boosted by this fact, giving rise to legal and practical questions. The importance and relevance of electronic evidence through the legal texts codifying them in various member countries of the European Union are analyzed and commented on. This article also answers the question of how to maintain legal predictability and certainty in new circumstances and guarantee the same level of citizens’ rights in court proceedings, by providing a certain legal framework which will allow courts to function and communicate with citizens. The complexity of special tools to process and manage electronic evidence appropriately and securely as well as their authenticity has been analyzed.
Open innovation in the development of citizen science projects and improvement of the educational process at universities

The article analyzes the possibility of using the methods and tools of civil science in the implementation of scientiﬁc and innovative projects, as well as the improvement of educational programs in modern universities. Currently, an approach to the development of innovative projects open innovations is being developed, which involves the active involvement of all those interested in the implementation of the project in its development, testing and “market launch”. This requires the search for effective forms and tools for applying the potential of citizen science to the development of scientiﬁc and innovative projects and educational practices.
Survey and Structuralization of the Demand for Beauty Curriculum as an Elective Subject by the Introduction of the 2022 Revisded Curriculum and High School Credit System

Objectives The purpose of this survey is to examine the demand of general high school students for beauty subjects, which are elective subjects following the introduction of the high school credit system, and to seek operation plans.&#x0D; Methods From May to June 2022, 418 general high school students in Seoul, Gyeonggi, and Incheon were surveyed on pre-understanding of the high school credit systems, preferred institutions, curriculum types, evaluation methods, and subjects.&#x0D; Results The perception of the high school credit system was similar regardless of region. The preferred institutions were in the order of college, specialized high school, industry, general high school, and online classes. While the types of preferred curriculum were in the order of career subjects, convergence education, and major subjects, the group that chose “hope” preferred major subjects, and the group that chose “worry” preferred career subjects. It was found that absolute evaluation and performance evaluation were preferred, and paper-written evaluation was avoided. It was found that students were lack of awareness in supplementary program, but they hoped the program to be operated. Their preferred subjects were found to be interest-oriented classes such as hair coloring, basic beauty, basic makeup, and facial care classes.&#x0D; Conclusions It is necessary to make students recognize the purpose of the operation of the high school credit system and to prepare a learning environment in which practical conditions are established. It is suggested that classes should be classified by level based on students’ needs. Beauty subjects should be offered, considering whether they can induce students’ various learning experiences, career exploration and interest. Specific policies should be established for smooth curriculum management. Based on the results of this study, it is expected that the beauty curriculum will be activated as elective subjects, and the necessity of follow-up research on specific operation plans is suggested.
The Mediating Effects of Cognitive Flexibility in the Relationship between Social Anxiety and School Life Adaptation of College Students

Objectives The purpose of this study is to investigate the relationship between college students’social anxiety, cognitive flexibility, and school life adaptation, and to reveal the impact of social anxiety on school life adaptation through the medium of cognitive flexibility.&#x0D; Methods To this end, a survey was conducted to measure social anxiety, school life adaptation, and cognitive flexibility to 374 students in the 1st to 4th grade attending six four-year universities in Gyeongsangnam-do and Busan. And for statistical analysis, SPSS 26.0 and Process Macro Model 4 were used.&#x0D; Results The main results of this study are as follows. First, the social anxiety of college students showed a negative correlation between school life adaptation and cognitive flexibility, and a positive correlation with school life adaptation and cognitive flexibility. Second, as a result of verifying the effect of mediation, it was found that the mediating effect of cognitive flexibility on the relation between the social anxiety and school life adaptation of college students was significant. This means that college students' social anxiety not only affects school life adaptation directly, but also indirectly through cognitive flexibility.&#x0D; Conclusions Based on the results of this study, it will be a basic data to increase the understanding of college students' school life adaptation, and to help college students who are unable to adapt to school due to the rapidly changing social and educational environment and personal psychological factors.
Contour Plots and Animation

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.
Soft Computing-Based Approach for Face Recognition on Plastic Surgery and Skin Colour-Based Scenarios Using CNN

In recent years, face recognition has become one of the most common technologies in the identification of humans which is widely used as biometrics. With many of the biometric systems that are already out there, facial recognition has become one of the most important technologies for quickly identifying people without having to ask them. This will not cause any unnecessary delays. However, there are several face-recognition systems that rely on traditional machine learning as well. But they do not work when it comes to things like facial expressions, posture, occlusion, and scale. The face-recognition method described in this article employs a convolutional neural network (CNN) to locate faces within a picture. Viola–Jones face detection is used to locate faces in a picture, and a pre-trained CNN extracts facial traits from the faces automatically. However, a large database of facial images is made in order to have more images for each subject and to include different noise levels for the best training of CNNs. Overall accuracy of the system was increased to 98.81% which will depict the effectiveness of deep face recognition. We attempt to design an algorithm that overcomes the difficulties associated with facial identification owing to skin by feeding faces into a CNN for feature extraction and then passing them to a softmax classifier for classification. Also to develop an algorithm to overcome the challenges that occur in the face recognition due to external and artificial features like plastic surgery.
Sub-Merging Virtual Reality into African Knowledge Systems: Progressive Move Towards Resilience in Girl-Child Training

The global response to emerging technologies leaves much to be desired in the girl-child education, more so, one of the stabilizing factors for the general well-being of the society is the level of investment in formal, non-formal, and informal women’s education. After all, the trained girl-child will eventually become an adult woman. This paper is intended to integrate and submerge virtual reality into the African knowledge system specifically, African technology as an integral aspect of the knowledge system which is yet to gain decisive attention probably due to the lack of documentation and facts that some crafts and vacations are women gender-biased. Several scholars have worked on girl-child education in the aspects of survival rights, emotions, freedom, self-actualization, and equitable child rights, but this work will be moving a step further by introducing the use of virtual reality in the training of girl-child for emancipation, increased productivity, multi-tasking and the development of inherent abilities. At the end of the day, facilitating resilience the innovative tendency of the research work is pertinent to the development of not only African but global knowledge systems. The work would be based on both primary and secondary sources with the adoption of conceptual and theoretical frameworks. The outcome of the research work would be the improvement of the quality of training to enhance the hitch-free transformation of the society even with the exigencies of world emergencies.
Tailoring spontaneous emission rates from atomic systems with shaped free-electron wavepackets

We show that electron-photon and atom-photon interactions can be engineered to interfere with each other, allowing us to tailor the total spontaneous emission rate through the shape of quantum electron wavepackets.
Understanding Sources of Cybersecurity Data

Focusing on understanding sources of cybersecurity data, this chapter explores the end-to-end opportunities for data collection. It goes on to discuss the sources of cybersecurity data and how multiple datasets can be leveraged in understanding cyber threats.
Conditional image synthesis for improved segmentation of glomeruli in renal histopathological images

In a context of limited data availability, we consider the supervised segmentation of glomerular structures in patches of renal histopathological whole slide images. These structures are complex, include multiple substructures, and exhibit great variability in their shape, making their robust segmentation challenging. In this context, using appropriate data augmentation techniques is crucial to obtain more robust results. We investigate data augmentation based on random spatial deformations and conditional image synthesis for the training of a U-Net model. We rely on a SPADE model to perform the synthesis, using label maps built from the real patches available for training as input. Synthesis from ground truth masks only results in noisy patches, where substructures are absent, whereas additional structure information yield more realistic patches. We show that the best improvements of the segmentation performances are obtained by mixing real patches with synthetic patches generated from ground truth masks only, which yields an increase of up to 0.76 of average dice score w.r.t. augmentation based on spatial deformations only. We conclude that, using conditional image synthesis, patches synthesized with no additional structure information better contribute to the robustness of glomeruli segmentation than patches synthesized with structure information extracted from available real patches.
Classifying the factors affecting the adoption of the SDN-microSENSE innovations

This paper presents the results of a survey conducted in order to identify the most critical factors that can affect the market adoption of the innovations developed in the H2020 R&I project SDN-microSENSE. A hierarchy of the main criteria and sub-criteria was created using the Fuzzy Analytical Hierarchy Process method and experts in the area expressed their preferences through a web-based survey. The results of this process provide an insight on the expert's vision regarding the importance of the factors that are crucial for the adoption of cyber-security solution in the Electrical Power and Energy Systems domain.
Transverse-Mode-Entangled Photon-Pair Generation in Optical Fiber

We present our experimental results on generating photon pairs entangled in a transverse-mode Bell state in few-mode optical fiber by controlling the transverse mode of the pump to selectively excite spontaneous four-wave mixing processes.
Sesame Workshop's international response to COVID-19 

Sesame Workshop, the nonprofit behind Sesame Street, has become the world’s largest informal educator, using media to address challenging experiences in children’s lives for 51 years. Building on the trust parents have in Sesame Street, authors responded swiftly to the pandemic, creating a global multimedia initiative – Caring for Each Other – to address the needs of children and families, model coping techniques, and provide strategies to help adults talk with children about COVID-19 and its challenges. Puppeteers around the world were sent puppets and equipment to film in makeshift home studios, often using mobile phones to record. Teams shared footage, equipment lists, and learnings across the organization. The US team further innovated with green screens for puppeteers. In many regions, broadcasters and Ministries of Education were eager for educational content as families stayed home. In partnership with the Inter-American Development Bank, a large library of Sésamo content was made available across eighteen countries throughout Latin America and the Caribbean.
Cybersecurity through Time Series and Spatial Data

Delving into the specifics of spatial and temporal analytics, this chapter explores topics such as spatial neighborhood and temporal evolution of large amounts of network traffic data.
Field Demonstration of Systems Towards CubeSat Quantum Key Distribution

Satellite QKD enables quantum-secure communications at global scale. However, practical systems require high-rate, low size, weight and power photon sources and ground stations. We present systems enabling CubeSat QKD missions and demonstrate their interoperation.
The Role of Smartphones in E-Learning: A Case Study of Tribal Students in Jharkhand State

Nowadays, smartphones are not just devices used for calling, gaming, and internet surfing but also learning devices. They are the most popular devices for online learning compared to iPads, laptops, tablets, etc. Several communication platforms made their services available to the world either partially or entirely to promote online education. This study intends to find out how the smartphone has played its role in catering online education toward tribal students (Class-IX, X, XI, and XII) in the selected district of Jharkhand State of India. This study also sheds light upon different issues teachers and students face while teaching and learning through smartphones. At the same time, few studies have revealed that primary education has been hit hard during the lockdown, and almost every primary school has failed to offer education. Considering the allegation, the researchers thought to investigate the education scenario of secondary and higher secondary standards during the lockdown. Districts like Pakur, Ranchi, Dumka, and Dhanbad have considered this research. Data has been received from 175 students of secondary and higher secondary standards and analyzed using descriptive statistics. Data reveal that most students do not have personal smartphones, but they have engaged in the classes by borrowing a smartphone from parents, brothers, uncles, or relatives. Students face the various adverse problems of online studies, such as power interruption, insufficient data, technical glitches, poor internet connectivity, expensive tariffs, and secondary and higher secondary standards. Students of Jharkhand have attended online classes. However, most of the students prefer offline classes to online classes.
Intelligent adjustable-speed drive on an FPGA

This paper addresses the design, simulation and implementation of a PI-like fuzzy controller to adjust the velocity of an armature-controlled DC motor using hardware/software co-design. Fuzzy control and digital pulse width modulation (PWM) techniques are used as computational solution, while the implementation is carried on a reconfigurable hardware platform. This controller is designed with four considerations in mind: design integration, robustness, reduced complexity and flexibility. Computationally intensive tasks are implemented as hardware accelerators using VHDL, data flow and control are implemented in software using system-on-programmable-chip (SoPC) approach. With this paradigm, we get the robustness of fuzzy control, the best of software programmability of Nios®-II and the hardware reconfigurability of the FPGA. The model was synthesised using Quartus®II and targeted at a Cyclone-II FPGA. Computer simulation results show the effectiveness and merit of this process. The real-time applicability of this controller is exemplified on a motor provided with a tachogenerator mounted on its shaft.
Googly Eyes

Presents the perspectives of the experience design researcher Marc Hassenzahl. Hassenzahl reflects on anthropomorphism through a fictitious dialogue, letting us eavesdrop on a conversation of a future family.