Reviewerly/exHarmony huggingface dataset:
Digital solutions to combat Covid-19

Albert Cho, vice president and general manager at Xylem, discusses how utilities are responding to Covid-19, the digital technologies that are assisting operational continuity and what the pandemic means for the future of utility management.
N00N States Dynamics in Jaynes-Cummings Arrays

We analyze the dissipative dynamics of uni-and bi-photon N00N states in Jaynes-Cummings arrays with fiber-coupled many qubit-cavity subsystems. We use quantum state fidelity to track the N00N state transfer from qubits to cavity modes.
Cybercrime

The regulation of technology is an important and topical area of law, relevant to almost all aspects of society. Technology Law: Australian and International Perspectives presents a thorough exploration of the new legal challenges created by evolving technologies, from the use of facial recognition technology in criminal investigations to the rise and regulation of cryptocurrencies. A well-written and fascinating introduction to technology law in Australia and internationally, Technology Law provides thorough coverage of the theoretical perspectives, legislation, cases and developing issues where technology and the law interact. The text covers data protection and privacy, healthcare technology, criminal justice technology, commercial transactions, cybercrime, social media and intellectual property, and canvasses the future of technology and technology law. Written by leading experts in the field, Technology Law is an excellent resource for law students and legal professionals with an interest in the area.
Opportunities and Challenges: Internationalized Higher Education in the Pandemic and Post-Pandemic Age

The COVID-19 pandemic has created an unprecedented crisis all over the world, while it also marks the coming of a new era of opportunities and challenges, especially for higher education. Universities should be more inclusive and innovative in communication and cooperation, promoting opportunities for collaborations in all aspects and reshaping international education.
Case Study in Elderly Consultancy Services

The ageing population has been a severe problem in the world. With the increasing aged population problem, society would face challenges in different dimensions, especially to the healthcare industry or healthcare system of a country. The demand for long-term care services would rise due to chronic diseases and physical deterioration among older people. A Long-term Care Plan 2.0 (LTCP 2.0) is suggested by Taiwan Government to solve the problem. They divide older people by region and age to reallocate the community care service to utilize community care service. The case-based reasoning (CBR) approach is suggested to use in the care plan formulation at LTCP 2.0. This chapter aims to identify key factors for care plan formulation, develop an intelligent decision support system for determining the level of care and formulating care plans using CBR, and set up a rating scheme for improving the quality of cases stored in the CBR library. An intelligent care planning system (ICPS) is constructed and implemented at an integrated community service centre located in Taiwan to achieve the defined objectives. The results show that the ICPS has improved care plan formulation, plan satisfaction and service satisfaction in the plan.
Distractions towards the Use of Learning Management System (LMS): Evidence from Students during the Covid-19 Lockdown in a Developing Country Context

The study is one of the first of its type to investigate the distractions towards the use of Learning Management System (LMS) during the Covid-19 shutdown and how it affected students' academic performance.The study sampled 456 learners who had returned to school following the Covid-19 lockout to resume their academic schedule.Data collected was evaluated using the SmartPLS tool for Structural Equation Modeling (SEM).Environmental distraction, technological distraction, and learning family distraction all had a detrimental impact on students' LMS usage, as found in the study.The use of the LMS was also found to have a detrimental impact on students' academic performance.The study's findings will assist lecturers, teachers or instructors in being courteous, as well as knowing the sort of evaluation to be utilized to assess students pursuing distance learning, as some of these distractions are likely to occur at home.As a result, the study contributes to the paucity of previous research on e-learning distractions in developing-country environments.
Building Efficient Mobile Architectures

This chapter provides overview a set of basic techniques for designing and tuning neural network architectures. Neural networks are often treated as a black box with their architectures derived from the search algorithms without much understanding about the reason for their final configurations. The main requirement for designing efficient architectures is to establish target metrics. The most basic metric that reflects the complexity of a model is the number of Multiply-Adds (MAdds) during inference. Network width multiplier, is a method where the number of neurons in each layers is scaled uniformly by a constant factor to slim down the model or scale it up. Input resolution multiplier, or resolution multiplier for short, is another simple technique that reduces the computational complexity of a model. The main idea is to feed the network with a lower resolution image thereby processing fewer pixels and subsequently scaling the hidden layers by the corresponding amount.
Unveiling blockchain as a strategic resource

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This conceptual paper concentrates on the strategic use of blockchain as a way of organizations gaining ongoing competitive advantages. Moving deeper into the fourth industrial revolution, the organizational advantages of blockchain implementation are the secure, verifiable, peer-to-peer transparency of agreement or communication mechanisms like smart contracts, since they can enhance organizational efficiency and therefore competitive performance. However, blockchain currently remains in a nascent phase on a practical use level, meaning organizations can now strategically prepare to adopt its capabilities in future. This is done by teams educating themselves about blockchain, and by defining problems that the technology could solve. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
Study on a temporally variable display device of visual texture using a Kirigami structure

We proposed a display method of temporally variable visual texture using a Kirigami structure. We studied two methods. The first is to change the shape of the surface, and the second is to change the ratio of the area of the glossy and the rough surfaces. In order to change the surface shape and the area ratio, we used a regular Kirigami structure and a cross patterned Kirigami structure. The method of changing the surface shape realized the display of a visual texture that was significantly different from that of a flat surface, and the method of changing the area ratio realized a visual texture that depended on the area ratio of the glossy and the rough surfaces.
Interval-valued Data Hierarchical Agglomerative Clustering Geometric Methods: Comparison of Three Representative Points to Merge

In this paper an interval algorithm for _nding zeros of nonlinear equation is presented.The classical version of interval Newton's method and the new (supposed) interval Ridders' method has been tested on a series of examples.The interval Ridders' method is competitive when com-pared with the interval Newton's method (used version).The numerical results empirically show that all methods gave us veri_ed computations (self-validating), ensuring that the exact value is certain to belong to the intervals computed.
Aprendizaje a lo largo de la vida. Reflexiones de la pandemia. Experiencia peruana educación no formal

This essay intends to highlight the perspectives of Lifelong Learning, together with the contributions of Non-formal, Popular and Community Education. It is based on the analysis of Education and Learning in this global pandemic, which has affected the performance of the Education, Health, Employment, and Transport sectors, creating an environment of insecurity and uncertainty in the family, school, and work and community groups. Education was delivered through distance programs, virtual with digital technology for more than a year and the conclusion is that new paradigms must be introduced. Curricular homogeneity and an economic vision of education are questioned, leading to reflections on the educational agents, as well as the roles and interactions between school, family and community. Learning is only at the school level or there are other possibilities, as has been seen in communities where the digital divide is very wide.&nbsp;Meaningful examples are provided of Non-formal Education and Action-Reflection-Action methodologies that lead to a development of critical thinking, where adult education and early years education converge with testimonies of coordinating teachers, specialists, educators and promoters whose life stories have been followed for nearly four decades. These experiences and lessons learned constitute important proposals when facing the current emergency in the education field.
Adoption of Video Learning SOPs: Evidence from the Financial Sector with UTAUT Perspective

As a highly regulated sectors, banks should be able to manage various risks by implementing Good Corporate Governance through detailed Standard Operating Procedure (SOP). Currently, financial sectors in Indonesia are dominated by Millennial’s workforce whom prefer digital way of communication rather than conventional reading. Thus, one multinational bank in Indonesia implements Video Learning SOPs to accommodate Millennials. The purpose of this study is to understand the adoption of Video Learning SOPs in financial sector using UTAUT. The study is quantitative research with availability sampling. 1077 respondents gathered using online questionnaire and analyzed using Partial-Least Square Structural Equation Model (PLS-SEM). Perceived interactivity was included as additional factors and the moderation of Age also analyzed. The results showed that there was significant relation between Performance Expectancy, Effort Expectancy, Social Influence, and Perceived Interactivity with Behavioral Intention to use Video Learning SOPs whereas Perceived Interactivity and Performance Expectancy also significantly impact it. It also revealed that there was positive but insignificant moderating effect of Age on the Behavioral Intention to use Video Learning SOPs. This research is among the first that reveals significant factors that impacting the adoption of Video Learning SOPs in a highly regulated industry.
Application of Speaker Recognition x-Vectors to Structural Health Monitoring

The domain overlap between speech and structural vibration presents opportunities to leverage advances in speaker recognition for structural health monitoring. Classification of x-vectors, which are the outputs of a pre-final layer from a time-delay neural network (TDNN) acoustic model, has been used to recent success in speaker discrimination. x-Vectors present a flexible speaker representation for increased classification robustness, as they contain intermediate speaker parameterizations rather than distinct class predictions for a specific identification task. In investigation of the parallels between speech and structural acoustics, this paper explores the viability of the x-vector speaker recognition system for structural damage detection. A TDNN following the x-vector structure is trained to classify damage scenarios from the Z24 Bridge Benchmark, using cepstral and pitch features from accelerometer measurements. x-Vectors are calculated for each measurement, which are used to train a probabilistic linear discriminant analysis (PLDA) model for Z24 damage scenario categorization. This approach yields strong performance in damage detection and classification, and we attempt a transfer learning approach to use this developed TDNN for training a modified x-vector system for local damage. We also apply the developed x-vector system to the LANL SHM Alamosa Canyon Bridge and UC-Irvine Bridge Column studies to explore generalization of this method, obtaining strong results in damage detection. We find that the x-vector system demonstrates the feasibility of speaker recognition techniques for structural health monitoring and shows significant potential for output-only structural health assessment.
Influence of Music Post-Production on Vocal Music

In our vocal music, intonation, pitch, and timbre are necessary factors in vocal music.Only when these items are met can it be regarded as a better and more complete vocal work, so the post-production of music is particularly exceptional.Importantly, in a vocal work, if the pitch, pitch, and timbre are all reached, the atmosphere of the song, such as reverberation, is also needed to make the song feel better for the audience.
About Digital Library Personalized Knowledge Service

Based on the research on the personalized knowledge services of digital libraries, this article starts with two aspects of the main components and existing problems of personalized knowledge services of digital libraries, to improve the quality of personalized knowledge services of digital libraries. Perform analysis. It is concluded that the relevant personnel need to increase the degree of attention to the improvement of resource utilization, promote the timely reform of the digital library management system, ensure that the digital book use system is reasonable and complete, and deepen the grasp of user information and needs. People to help.
Supplemental Material: Interpreting and reporting &lt;sup&gt;40&lt;/sup&gt;Ar/&lt;sup&gt;39&lt;/sup&gt;Ar geochronologic data

Fillable PDF checklist of minimum and recommended data to report with 40Ar/39Ar dates for author, reviewer, and editor guidance. Two examples (XLS and JSON) of 40Ar/39Ar data sets archived via FAIR data principles.
Simulation model as a tool for handling equipment operation diagnostics

Abstract Efficiency of handling equipment reduces the service time of vehicles arriving at the container terminal. A simulation model of the operation of handling equipment allows reducing the time for diagnosis handling technique with its failure. The model constructed by means of apparatus of Petri Nets the formalism of Petri Nets provides the precision of definitions and reflects the structural and logical connection of the simulated events. The visualization and simplicity of Petri Nets allows the technician has no special training to use these models. This paper examines the reach stacker model, these types of machines that used in container terminals. A Petri Net simulating the operation of the reach stacker – hierarchical, has a built-in network positions. Hierarchy of networks identified position to ensure secure operation techniques, conflict situation, and analyzed solutions. Position having the chips are nodes, which can cause failures.
The Cohesion’s Elements of Education Articles in Kompasiana

The purpose of this study is to describe the kind of grammatical and lexical cohesion that used in education articles written by Syarifudin Yunus. The method that used in this study is qualitative descriptive method. Data source that used in this study are 24 education articles written by Syarifudin Yunus at Kompasiana.com web page in 2019 until 2020 year range. Technic that used in this study is basic technique of agih method or also called the BUL technique (For Direct Elements). The results of this study showed that there are four aspects of grammatical cohesions. The finding percentage of grammatical cohesion of this study are 54.4% conjunctions aspect, 35.4% references aspect, 6.1% substitutions aspect, and 4.1% ellipsis aspect. Besides, there are six lexical cohesion that found in this study. The percentage of lexical cohesions in this study are 63.5% repetition aspects, 14% equivalency aspects, 8.8% collocation aspects, 7.2% synonym aspects, 3.8% hyponyim aspects, and 2.7% antonym aspects. This study can be implicated for Indonesian language learning at junior high school and senior high school.Keywords: Grammatical cohesion; lexical cohesion; discourse.
dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies

With the advancement of quantum computing, verifying the correctness of the quantum circuits becomes critical while developing new quantum algorithms. Constrained by the obstacles of building practical quantum computers, quantum circuit simulation has become a feasible approach to develop and verify quantum algorithms. Although there are many quantum simulators available, they either achieve low performance on CPUs, or limited simulation scale (e.g., number of qubits) on GPUs due to limited memory capacity. Therefore, we propose dgQuEST, a novel acceleration method that utilizes hybrid CPU-GPU memory hierarchies for large-scale quantum circuit simulation across multiple nodes. dgQuEST adopts efficient memory management and communication schemes to leverage the distributed CPU and GPU memories for accelerating large-scale quantum simulation. Our evaluation demonstrates that dgQuEST achieves an average speedup of 403 $$\times $$ compared to QuEST on quantum circuit simulation with 32 qubits, and scales to quantum circuit simulation with 35 qubits on two GPU nodes, far beyond the state-of-the-art implementation HyQuas can support.
Aliens Attack Version 7

This chapter presents thin server design. In addition, common distributed programming bugs such as loss of synchronization and deadlock are discussed.
Low patch-rank image decomposition using alternating minimization algorithms

Cartoon-texture image decomposition, which refers to the problem of decomposing an image into a cartoon part and a texture component, is one of the most fundamental problems in image processing.In this paper, we are concerned with the low patch-rank enhanced image decomposition model, which is a convex but nonsmooth optimization problem that could not be solved directly by traditional gradient-based optimization algorithms.Accordingly, we introduce two unconstrained reformulations to the underlying low patch-rank optimization model.Furthermore, by exploiting favorable structures of the resulting reformations, we propose two easily implementable alternating minimization algorithms, whose subproblems have closed-form solutions.Compared to the state-of-the-art multi-block alternating direction method of multipliers and its variants, our proposed algorithms enjoy simpler iterative schemes and lower memory requirements for saving computing time.A series of numerical experiments further support the promising performance of the proposed approaches.
Drums for the 21st Century

Protocussion, a small and growing drum company in Upstate New York near Woodstock, has developed a new and exciting technique in the art of drum making. The drums that take the name of the man who created them, “Lovelett,” were patented in 1991 and feature many of the unique and innovative ideas that have come to represent Protocussion. Sound rings that protrude from the Lovelett Drum are the first noticeable feature. Multi-annular ring construction is another patented feature which gives the Lovelett Drum its unique appearance as well as its strength, making it the strongest wood drum shell made. Protocussion’s combination of revolutionary sound rings, variable bearing edges, durable multi-annular construction, and a selection of beautiful finishes all illustrate Protocussion’s commitment to new and unique methods in crafting not only the Lovelett Drum but also an entire generation of percussion instruments.
A Sustainable Energy-Tailored Transaction Mechanism for Smart Grids Based on Block Chains

Developing and implementing sustainable energy is a method to solve energy challenges and eliminate the environmental issues associated with them. It will become the leading source of energy within decades, replacing conventional fossil energy, as many forms of sustainable energy generation coincide nicely with the concept of smart grids. Thus, research of a feasible transaction mechanism for sustainable power generation is necessary. Combining block chain technology and sustainable energy in a smart grid can be a feasible way to manage and utilize sustainable power. In this article, the characteristics and infrastructure of the block chain and state-of-the-art smart grid framework are analyzed, with a sustainable distributed energy transaction mechanism based on block chains presented, designed to achieve the functions of trading, management, and security.
Assessing the readiness of the vocational education system for digitalization

The article talks about the possibility of digitalization of vocational education, which implies reorganizing the system. Alternative options for solving the problem and the barriers to the transition to digital education are noted.
Onboarding Models for Software Projects: An Ad-hoc Literature Review

New hires usually should learn about the working process, organization structure, and company corporate culture and to be acquaintance with a very new environment. It requires company to organize throughout a well-planned onboarding process, but many companies are not aware of onboarding models and how to support onboard process to become more efficient. We aimed to characterize the main methods through an ad-hoc literature review. We provide practitioners and researchers with the rationale to identify onboarding models and characteristic of the main methods relate to onboarding Software Engineering.
A Two-Layer Steganography for Mosaic Images

A lot of data hiding schemes have been proposed to embed secret data in the plain cover images or compressed images of various formats, including JPEG, AMBTC, VQ, etc.In this paper, we propose a production process of mosaic images based on three regular images of coffee beans.A primary image is first mimicked by the process to produce a mosaic cover image.A two-layer steganography is applied to hide secret data in the mosaic image.Based on the low visual quality of the mosaic cover image, its PSNR value can be improved about 1.5 dB after embedding 3 bpp.This is achieved by leveraging the newly proposed polarized search mask and the concepts of strong embedding and weak embedding.Applying steganography to the mosaic cover images is a completely new idea and it is promising.
Estimation and Correction of Gaussian Random Displacement Error Using Simple Non-Gaussian States

We analyse estimation and error correction of Gaussian random displacement using experimentally feasible non-Gaussian states. We show that even simple states such as single-photon state is superior to Gaussian states in both settings.
On the efficacy of classical deep learning methods on quantum information science

We study the efficacy of deep learning-based quantum state reconstruction methods with respect to inference and training, and then implement the reconstruction technique on an IBM quantum computer.