Reviewerly/exHarmony huggingface dataset:
Governance for sustainable development in action: Nigeria

Disparity in human and societal development necessitates manifest quest for improvement in the state of things. That explains why, the issue of development remains a topical one across nations and territories around the world. While the desire to achieve development has increasingly taken vantage intellectual and professional attention, how same can be sustained, remain highly debated. The United Nation keyed into the development discourse by suggesting the sustainable development goals. This is however the generic goal as nations, make different attempts at ensuring not just development but sustaining same. This chapter examined development situation in Nigeria and effort made by the Nigerian state achieve suitable governance model to achieve sustainable development. While acknowledging internal efforts made to achieve national development, the chapter identified fragile institutions and corruption as impediments to the attainment of sustainable development goals in Nigeria. The chapter concludes by recommending institutional strengthening to drive purposeful governance for sustainable development in Nigeria.
Informational economics as the science of what is possible

Scholars have identified four different roles played by aspiring entrepreneurs in the discovery of venture opportunities. The poor may not know it yet but one way for them to escape poverty would be to discover their own opportunities by being successful in one of these roles. What each of these roles has in common is that the discovery process consists of the acquisition of specific, risk-reducing information. Uncertain returns from such investments may deter poverty stricken entrepreneurs from making discoveries. This approach, based on the science of informational economics, suggests that the vision to make entrepreneurial discoveries depends on making cost-effective informational investments, not on special talents possessed by only those with resources of their own, which provides an opening for the poor.
Information Encoding in Bright Twins Beams as Tailored Spatial Correlations - A Perturbative Approach

We encode information in the distribution of the far-field correlations of bright twin beams. Using a perturbative approach to calculate the expected spatial correlations, we increase the fidelity between the simulated and experimental results.
Multimode photonics for high-quality non-gaussian state generation

We show that multimode photonic states are prominent resources for generating high-quality and large-amplitude non-gaussian states such as Schrödinger cat and GKP states. Both heralded and iterative schemes can benefit from this multiplexing capability.
Free-space Forwarded-pump Entanglement Source Synchronization

We investigate entanglement source synchronization using a forwarded-pump signal sent over a 3.2-km free-space retro-reflected link. Results show sub-picosecond alignment between the sources. The paper considers several fundamental and practical aspects of this approach.
Dataflow-based Control Process Identification for ICS Dataset Development

There has been increasing interest in and demand for relevant datasets for machine learning-based anomaly detection research in academia and industry. The industrial control system (ICS) has become larger and more complex, and it is difficult for humans to understand the configuration and operation of the system. Normal and attack scenario plans based on partial knowledge are inevitably biased, and insufficient data annotations limit the performance verification. It is practically difficult to manually identify all tags used for system monitoring and control and their causal relationships. Therefore, we propose a method to generate a data flow graph from process control information such as input/output tags, control processes, and various control parameter values extracted from the database of the control system. It will be the basis for systematic scenario composition and provide information for the analysis of cause and ripple effects when the state of a specific point (control device, sensor, actuator, etc.) is changed. We applied the proposed method to a HAI testbed and confirmed its feasibility by using it to develop a dataset.
An improved MDNet target tracking algorithm

Video tracking uses the semantic information between video image sequences to process, analyze and study the target to achieve target tracking. In response to the problems of sharp changes in target position, large deformation, and occlusion due to similar background interference, changes in lighting conditions, and different shapes of targets in the target tracking process, the tracking algorithm is less accurate and less robust in target appearance. An improved target tracking algorithm based on multi-domain network (MDNet) is proposed to solve this problem. By adding the Image-Align layer to the video target tracking task, a more accurate target value is obtained; applying the Directed Acyclic Graph-Recurrent Neural Network (DAG-RNN) by combining it with a convolutional neural network and modeling image neighborhood context dependencies for the target region to be tracked, we improve the problem that conventional networks only perform multi-layer extraction for the appearance features of the target, thus resulting in poor robustness to changes in target appearance; ROI Align layer is added after the convolution layer to speed up target feature extraction.
APPLICATION AN ALGORITHM TEACHING PLAN USING ACTIVE METHODOLOGIES: A CASE STUDY REPORT

Present the results of the application of a pilot study of a teaching plan for the discipline of algorithms that makes use of multiple active approaches such as Virtual Learning Environments, Coding Dojo, Gamification, Problem-Based Learning, Inverted Classroom and Serious Games in discipline of algorithms.Use of forms of intervention that allow the development of active work by the students, making them take the lead in their learning and, consequently, increasing their engagement and interest in the contents covered in the discipline of algorithms.Case Study.The results of the implementation of this pilot study provided preliminary evidence that the approach to teaching algorithms based on multiple active methodologies was well accepted by students and enabled the achievement of good performance results, which were reflected in the final grades obtained by the participants.It was found that the teaching plan developed and evaluated through the peer review technique has feasibility of application within a discipline of algorithms.The way in which active methodologies were correlated with teaching units can enable teachers and students to have new positive experiences in the teaching and learning process of algorithms.
INDUSTRY 4.0 CHALLENGES AND CHARACTERISTICS: AN ANALYSIS OF THE PERCEPTION OF STUDENTS ACCOUNTING SCIENCES IN PUBLIC UNIVERSITIES IN THE STATE OF ALAGOAS.

The present study sought to investigate the level of knowledge and importance of students graduating from the Accounting Sciences course at public universities in the state of Alagoas on the impacts of industry 4.0 on Accounting.Industry 4.0 will cause several changes in business models in which the entire occupation has partial automation potential, while the accountant is not out of this reality.The research is configured as descriptive and exploratory, since the survey was used, which corresponds to the data collection of a specific questionnaire population; the approach is characterized as quantitative and qualitative, as the data was propagated through statistics and reflection.The results obtained demonstrate the unpreparedness of both students to work in the 4.0 environment and educational institutions to insert activities in their curricular series aimed at this new job market.The present research brings the results arising from the students' evaluation regarding Industry 4.0 in view of the scenario that demands accounting professionals among the innovations in the accounting environment.Finally, a company of the theme is clear, since scenario 4.0 represents the future of work and associations.Thus, it is clear that higher education institutions and future accounting professionals need to be adapted to this reality, which is full of challenges and opportunities
BLOCKCHAIN IN HEALTHCARE FOR MEDICAL DATA SHARING: A PROPOSAL OF A DATA GOVERNANCE FRAMEWORK TO COMPLY WITH LAWS AND REGULATIONS.

This study sought to analyze the use of Blockchain for medical data sharing, which meets the laws and regulations in the healthcare.Analysis of legal aspects of the use of Blockchain for medical data sharing through a data governance framework.In this work an exploratory qualitative study was carried out (Gil, 2002).The analysis of the study was carried out through a data governance framework, raised by a Systematic Literature Review (SLR) of the literature, using data sources from academic literatures following Kitchenham ( 2007).(i) Aspects to be considered in the use of Blockchain for medical data sharing; (ii) governance recommendations on the use of Blockchain for medical data sharing; (iii) technical recommendations on the use of Blockchain for medical data sharing.(i) List of recommendations on the use of Blockchain for medical data sharing, which complies with laws and regulations in the healthcare; (ii) Systematic Literature Review (SLR), aiming to identify data governance frameworks.Benefits for an organization in adopting an application for medical data sharing.
ANALISIS LAYANAN PERPUSTAKAAN KELILING DALAM MENGEMBANGKAN BUDAYA LITERASI MASYARAKAT KOTA PALEMBANG STUDI PADA DINAS PERPUSTAKAAN PROVINSI SUMATERA SELATAN DAN DINAS KEARSIPAN DAN PERPUSTAKAAN KOTA PALEMBANG

Mobile library is a mobile library by bringing Library materials such as books to serve the community from place to place that library services cannot reach.The purpose of this study is to identify the barriers that South Sumatra State Library Services and Palembang Municipal Library and Library Services mobile library services, and South Sumatra State Library Services and Palembang Municipal Libraries and Library Services face in the development of literacy.The culture of the people of Palembang is facing.This survey is a descriptive qualitative survey.The result is a mobile library service from South Sumatra State Library Service.and the Palembang City Library and Archives Service were accepted and utilized by the people of Palembang.Mobile library
Study of Decentralized Database Network using concepts of Blockchain

The data stored in traditional database systems are vulnerable to attacks even with the existence of certain levels of security. In order to overcome such drawbacks, a dynamic database network is created between individual nodes. Instead of storing data in a static database, information is regulated among a specific inter related database nodes which significantly enhances the security of confidential data. The dynamic nature of the database network makes the data less stagnant at a particular node for a long period of time since the data is constantly circulated within several other nodes involved in the network. While the static form of storage of data provides a basic level of protection from intruders, the dynamic storage of information increases the complexity of combinations involved to track the necessary data since the algorithm constantly relocates the presence of data in each node.
Strolling through a NISQ processor

We demonstrate multi-particle quantum walks on a two-dimensional NISQ superconducting processor composed of sixty-two functional qubits. Programming the processor allows us to implement a Mach-Zehnder interferometer with interacting quantum walkers coherently traversing it.
FPGA-based, dual core architecture for truly random-encoded qubit streaming

We present an FPGA-based, dual core system able to continuously operate with a true randomness source that fully provides the information to encode the qubits for a Quantum Key Distribution transmitter without expansion algorithms.
Advanced Laser Modulation and Chip-Based Quantum Communications

We review recent implementations of quantum key distribution transmitters based on optical injection locking and direct modulation. By appropriately harnessing laser properties we show how these developments led to the realization of practical chip-based quantum key distribution systems.
Computing with two quantum reservoirs connected via optimized two-qubit nonselective measurements

We propose a novel approach to link multipartite quantum systems - quantum reservoirs into a network to implement quantum reservoir computing. We present the machine learning-based heuristics to optimize performance and information transfer between systems.
COMPSYS 2022 Keynote Talk: Composability at the Boundary Between HPC and Cloud

Disaggregated memory is a topic of active development, as a way to allow flexible and fine-grained allocation of memory capacity, mitigating the mismatch between fixed per-node resource provisioning and varying application requirements. This talk addresses the development and atscale evaluation of HPC job scheduling policies for disaggregated memory, advocating for a simulation approach together with a model of the slowdown due to resource contention. A key parameter that is generally expected to be provided by the users at job submission time is the job�s peak memory capacity demand. The memory demands of HPC jobs vary dramatically, due to differing application behaviour and strong scaling. It is therefore unrealistic to expect this number to be precise, especially for small jobs. We discuss the incentives to provide an accurate estimate and show that there is a strong risk of tragedy of the commons. We conclude with ways to mitigate this problem.
A unified neural MRA architecture combining wavelet CNN and wavelet pooling for texture classification

This paper introduces a novel unified neural Multi-Resolution Analysis (MRA) architecture that uses Discrete Wavelet Transform (DWT) integrated Convolutional Neural Network (CNN) along with DWT pooling. As convolution with pooling operation in CNN has equivalence with filtering and downsampling operation in a DWT filter bank, both are unified to form an end-to-end deep learning wavelet CNN model. The DWT pooling mechanism is also used to further enhance the MRA capability of this wavelet CNN. Using the first two wavelets of the Daubechies family, we present here a comprehensive set of improved texture classification results with several updates in the model architecture. These updates in the CNN model architecture apply to any node generally associated with the time-frequency analysis of the input signal.
Employee Face Recognition Scheme Using A Common Space Mapping Approach

In this work, we present a FaceNet based ‘two branch’ model for employee face recognition in low resolution images captured using substandard camera sensors. Our model involves a common space mapping approach using two deep convolutional neural networks (DCNNs) that map the low resolution and high resolution face images to a common space. The model is trained such that the distance between the two mapped images in the common space is minimized. Then, a logistic regression classifier is used to classify the mapped image by the identity of the employee. We show through simulations that the presented model achieves a recognition accuracy of 99.84%, 98.88%, and 95.53% on $36\times 36$, $24\times 24$, and $16\times 16$ resolution images, respectively, for 209 subjects. Furthermore, the proposed model has less space (90 Megabytes) and computation requirements making it suitable for systems having low computing power and memory.
BVRIQE: A Completely Blind No Reference Virtual Reality Image Quality Evaluator

In this paper, we develop a framework to assess the perceptual quality of Virtual Reality (VR) images by studying the joint dependencies between luminance and disparity pairs using Bivariate Generalized Gaussian Distribution (BGGD) model. We compute model parameters ($\alpha,\ \beta$) of BGGD at multi-scale and multi-orient steerable pyramid decomposition of the cube map projection (CMP) faces of both left and right views of a VR image. We learn Multivariate Gaussian (MVG) model parameters from BGGD features of CMP faces of pristine images as a reference quality representative. We compute Mahalanobis distance between pristine MVG model parameters and distorted image BGGD features to estimate the joint luminance and disparity quality score of a CMP face of a test VR image. We generate an inner map from saliency and phase congruency maps of CMP faces of both left and right views of a VR image. We compute entropy scores of the inner map to pool the joint luminance and disparity quality score of a VR image. Further, we apply IL-NIQE model on CMP faces to derive the overall spatial quality score of a test VR image. Finally, we pool the spatial IL-NIQE score and CMP face level quality score to estimate the overall quality score of a test VR image. The proposed model, dubbed Blind Virtual Reality Image Quality Evaluator (BVRIQE) delivered a consistent performance across all distortion types of the LIVE 3D VR IQA dataset.
New cases of fraud highlight need for strong financial oversight

Two cases of fraud in the nonprofit sector have made headlines in recent months, highlighting the importance of regularly scheduled third‐party audits in detecting and deterring financial misfeasance.
Imprint: Geomechanics and Tunneling 4/2022

Geomechanics and TunnellingVolume 15, Issue 4 p. 435-435 ImprintFree Access Imprint: Geomechanics and Tunneling 4/2022 First published: 05 August 2022 https://doi.org/10.1002/geot.202270408AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume15, Issue4August 2022Pages 435-435 RelatedInformation
Assessing Identity Disclosure Risk in the Absence of Identified Datasets in the Public Domain

Data release is essential in supporting data analytics and secondary data analyses. However, data curators need to ensure the released datasets preserve data subjects’ privacy and retain analytical utility. Data privacy is achieved through the anonymisation of datasets before release. The risk of disclosure posed to the dataset should inform the level of anonymisation to be undertaken. As anonymisation achieves data privacy, it reduces the analytical utility of the dataset by introducing alterations to the original data values. Therefore, data curators require an appropriate estimate of the dataset’s identity disclosure risk to inform the required anonymisation that balances privacy and utility. The disclosure risk varies from one geographical region to another due to varying enabling factors. This paper assesses the disclosure risk and the enabling factors in an environment lacking identified datasets in the public domain. This study used a quasi-experimental design in carrying out an empirical identity disclosure test, where respondents were given an anonymised dataset and were required to disclose the identity of any of the records. The findings were that background knowledge of the released datasets was the primary enabler in the absence of identified datasets. Respondents could only disclose records in the dataset they had familiarity with. However, the disclosure risk was within an acceptable threshold. Therefore, the study concluded that in an environment lacking identified datasets in the public domain, reasonable anonymisation could achieve a balance of privacy and utility in datasets. The findings justify private data release able to support data analytics and secondary data analyses in environments lacking identified datasets in the public domain.
TELECOMMUNICATIONS: Tanzania – Uganda

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 59, Issue 6 p. 23921C-23922C Communications and Transport TELECOMMUNICATIONS: Tanzania – Uganda First published: 04 August 2022 https://doi.org/10.1111/j.1467-6346.2022.10674.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume59, Issue6August 2022Pages 23921C-23922C RelatedInformation
Sierra Leone: New Banknotes

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 59, Issue 6 p. 23919A-23919A Policy and Practice Sierra Leone: New Banknotes First published: 04 August 2022 https://doi.org/10.1111/j.1467-6346.2022.10670.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume59, Issue6August 2022Pages 23919A-23919A RelatedInformation
SIERRA LEONE: Economic Update

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 59, Issue 6 p. 23905C-23906B Policy and Practice SIERRA LEONE: Economic Update First published: 04 August 2022 https://doi.org/10.1111/j.1467-6346.2022.10657.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume59, Issue6August 2022Pages 23905C-23906B RelatedInformation