Reviewerly/exHarmony huggingface dataset:
A Blockchain-Based Multi-layer Infrastructure for Securing Healthcare Data on Cloud

The sharing of electronic health records (EHRs) helps in improving the quality and accuracy of the medical diagnosis and clinical researches. But at present, there is no particular way for ensuring the safe and secure collection and storage of the healthcare data; also in some cases, the data is not even available in digitized form. The current demand of healthcare industry is patient-centric healthcare management system that has the capability to trace the data transactions with minimum amount of interference of intermediaries. The healthcare data is big and heterogeneous, and therefore, it is preferred to be stored on cloud environment for hassle-free availability and real-time access. In the past few years, blockchain has emerged as a technology capable of handling data that is growing unremittingly that gives it the potential to effectively handle the medical data and transform the healthcare industry. In this paper, a blockchain-based infrastructure is proposed for securely handling the healthcare data transactions. The blockchain network works on distributed and decentralized peer-to-peer environment that does not have any central controlling authority. Blockchain provides a network based on trust and transparency that allows the maintaining of the historical transactions in immutable manner, which makes it suitable for healthcare domain.
Intelligent Tutoring System for Teaching Computer Science I in Al-Azhar University, Gaza

Intelligent Tutoring System ITS is a computer software that supplies direct and adaptive training or response to students without, or with little human teacher interfering. The main target of ITS is smoothing the learning-teaching process using the ultimate technology in computer science. The proposed system will be implemented using the “ITSB” Authoring tool. The book Introduction To Computer Science is taught in Al-Azhar University in Gaza as a compulsory subject for students who study at humanities faculties. In this thesis, the researcher demonstrates an intelligent tutoring system for teaching the above mentioned subject. The system was assessed by a group of teachers and students and the results were promising.
Modeling and optimization of fermentation conditions for glycolipopeptide production using response surface methodology and artificial intelligence approaches

Statement of the Problem: Pseudomonas aeruginosa strain IKW1 produced a biosurfactant when grown in waste frying sunflower oil-basal medium. The active compound reduced surface tension of fermentation broth to 24.62 dynes/cm at a critical micelle concentration of 20.80 mg/L. It was identified by high performance liquid chromatography and Fourier transforminfrared spectrometry as a glycolipopeptide. It demonstrated considerable emulsification and foaming capabilities suggesting suitability for applications in pharmaceutical and detergent formulations. However, product yield was low, making large-scale production for recommended applications impracticable. Several researchers have reported yield improvement by strategic medium optimization approaches. Earlier, we adopted response surface methodology (RSM) for major nutrients optimization and recorded commendable yield increase. Later on, we employed Placket-Burman design (PBD) and RSM to screen and optimize trace nutrients and obtained significant yield improvement. However, research reports indicate that artificial neural network (ANN) is a better optimization approach. Methodology & Theoretical Orientation: In this study, we optimized fermentation conditions like temperature, pH, agitation and duration using RSM, and compared results to those obtained with ANN linked with genetic algorithm (ANN-GA) and particle swarm optimization (ANN-PSO). Findings: Our results showed that the biosurfactant response model, predicted by a quadratic function of RSM, was significant (P 0.05) different from those obtained with RSM. Conclusion & Significance: This suggests that RSM, when meticulously executed, could be as good a modeling and optimization tool like neural network methods.
Utilization of Electronic Books by the Researchers in Academic and Research Institutes in Karnataka: A Study

The paper investigated the use of open access and licensed electronic books by the research scholars in academic and research institutions in Karnataka. The rate of response is 92.5%. In addition to questionnaire method, interview schedule and observation method were also used to collect required information. It is clear from the study that a large number of research scholars rely upon open access and licensed e-books for academic and research purposes. The institutions have to subscribe large number of e-books for target users and proper training should be given to maximize utilization of open access and licensed e-books.
Poster: Perceived Adversarial Examples

Adversarial examples in deep learning were first discovered for the digital domain and later effected in the physical domain. In this work, we demonstrate adversarial examples in the perception domain; i.e., adversarial examples that are introduced by compromising the sensing mechanism of an image sensor. Our proposed attack relies on the injection of electromagnetic interference in a remote manner, and does not require physical modifications to the object, which makes the attack easier to launch and harder to detect.
Blind Ultrasound Images Deblurring Based on Quadratic Sparse Bright Channel Prior

For an ultrasound blurry image with more dark pixels and the blurry ultrasound image is not sparse enough after the bright channel prior deblurring. In order to make more effective use of the image information and enhance the sparsity of the ultrasound images obtained after deblurring, a method of blind ultrasound image deblurring based on quadratic sparse bright channel prior. Firstly, a quadratic sparse bright channel is proposed based on the bright channel. Secondly, the prior information of the image is obtained by using the quadratic sparse bright channel. Then, the clear image and blur kernel are estimated by half-quadratic splitting. Finally, the deblurring experiments are carried out on the ultrasound image set, and compared with other deblurring algorithms. Experimental results show that this algorithm has higher feasibility and superiority.
Development of an interactive Cloud-based seismic network modelling application on a common Geophysical Processing Toolkit platform

&amp;lt;p&amp;gt;Detecting and locating earthquakes relies on seismic events being recorded by a number of deployed seismometers. To detect earthquakes effectively and accurately, seismologists must design and install a network of seismometers that can capture small seismic events in the sub-surface.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A major challenge when deploying an array of seismometers (seismic array) is predicting the smallest earthquake that could be detected and located by that network. Varying the spacing and number of seismometers dramatically affects network sensitivity and location precision and is very important when researchers are investigating small-magnitude local earthquakes. For cost reasons, it is important to optimise network design before deploying seismometers in the field. In doing so, seismologists must accurately account for parameters such as station locations, site-specific noise levels, earthquake source parameters, seismic velocity and attenuation in the wave propagation medium, signal-to-noise ratios, and the minimum number of stations required to compute high-quality locations.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;AuScope AVRE Engage Program team has worked with researchers from the seismology team at the University of Melbourne to better understand their solution for optimising seismic array design to date: an analytical method called SENSI that has been developed by Tramelli et al. (2013) to design seismic networks, including the GipNet array deployed to monitor seismicity in the Gippsland region in Victoria, Australia. The underlying physics and mechanics of the method are straightforward, and when applied sensibly, can be used as a basis for the design of seismic networks anywhere in the world. Our engineers have built an application leveraging a previously developed Geophysical Processing Toolkit (GPT) as an application platform and harnessed the scalability of a Cloud environment provided by the EASI Hub, which minimised the overall development time. The GPT application platform provided the groundwork for a web-based application interface and enabled interactive visualisations to facilitate human-computer interaction and experimentation.&amp;lt;/p&amp;gt;
Influence of social media on students’ performance / Mustaffa Bukhari, Radziah Mahmud and Nor Suhailati Abd Manan

The millennial generation are constantly engaged with information technology especially social media. The time spent on social media covers significant percentage of their daily activities especially with the available mobile devices that make logging in to social media easier. Previous studies suggest that social media does not only possess the features that focus on social interaction and activities but may also be utilised for other purposes. The features on social media that include posting, video sharing, picture sharing, chat messenger and live video are thought to bring set of qualities that can be used in teaching and learning to enhance students’ performance. This study comes up with two research objectives which are to examine the impact of social media usage in teaching and learning and the impact of intensity usage of social media on students’ performance. In this study, students’ performance is measured based on students’ Cumulative Grade Point Average (CGPA) and students’ soft skills. Primary data were collected by distributing questionnaires to Bachelor of Accountancy students in local public and private university in Melaka and received 113 respondents. The finding shows that even though usage of social media in teaching and learning provides positive significant impact toward students’ performance based on soft skills, it does not have a significant impact toward students’ performance based on CGPA. With regards to social media usage intensity, it does not have significant impact on students’ performance based on either CGPA or soft skills. This study is expected to contribute on the knowledge on social media usage for the benefit of education to help enhancing the accounting students’ performance.
Preface to the Publication

This is the Preface written jointly with Paul Schulte giving an overview of the current landscape in the ABCD, 5G and Quantum. There are discussions of how AI, Blockchain, Cloud Computing and Data Analytics that help both the USA and Chinese tech giants to garner a substantial portion of the future markets while we are undergoing the 4th Industrial Revolution. The data privacy issue at the centre of 5G technology as well as Huawei's business and strategy are discussed, besides others such as AWS, Facebook, Google, Apple, Microsoft, Alibaba, Tencent, PingAn, ZhongAn, Baidu, Softbank.
Nivel y uso de las TIC en estudiantes de la FTSyDH, durante la implementación de la Estrategia Digital de la UANL por el COVID-19

Hoy en dia las competencias de tipo tecnologico que poseen los estudiantes deeducacion superior son esenciales para la transversalidad y el logro de otras competencias durante su formacion universitaria, ya que estas les abren un horizonte de saberes que en el pasado solo eran adquiridos a traves de sus maestros mediante la educacion tradicional. A partir del 20 de abril del 2020 enla U.A.N.L. se implemento una estrategia denominada “Estrategia Digital UANL”, la cual se puso en marcha a causa del COVID-19, con el objetivo de dar continuidad a las actividades academicas de todos los programas educativos dela Universidad. El nivel y uso de las Tecnologias de Informacion y Comunicacion (TIC´s) que poseian los estudiantes en el momento de la implementacion, fueron factores determinantes para el exito de dicha estrategia.El presente estudio muestra los resultados de una investigacion de corte transversal, cuantitativa, cuyo objetivo era el de indagar el nivel y uso de las TIC´s de los estudiantes de la Facultad de Trabajo Social y Desarrollo Humano de laUANL, durante la implementacion de la “Estrategia Digital UANL” el estudio se llevo a cabo con una  muestra aleatoria de 90 estudiantes. Las herramientas tecnologicas se dividieron en cuatro categorias, las de acceso a la informacion y su transformacion en conocimiento, aprendizaje y trabajo colaborativo, herramientas de comunicacion y herramientas de aplicacion.SummaryNowadays, the technological competences that higher education students possess are essential for transversality and the achievement of other competencies during their university training, since these open a horizon of knowledge that in the past was only acquired through their teachers throughtraditional education. As of April 20, 2020 at the U.A.N.L. A strategy called “UANL Digital Strategy” was implemented, which was launched due to COVID-19, with the aim of giving continuity to the academic activities of all the University’s educational programs. The level and use of Information and Communication Technologies (ICTs) that students had at the time of implementation were determining factors for the success of this strategy. This study shows the results of a cross-sectional, quantitative investigation, the objective of which was to investigate the level and use of ICTs of the students of the Faculty of Social Work and Human Development of the UANL, during the implementation of The “UANL Digital Strategy” study was carried out with a random sample of 90 students. The technological tools were divided into four categories, those of access to information and its transformation into knowledge, learning and collaborative work, communication tools and application tools.
Lengua e identidad de una generación intermedia: migrantes hispanohablantes en la universidad italiana

The reworking of new identities as a result of migratory movements is largely defined by the multilingual nature of the subjects. The adoption of the language of the host country, as an indispensable requirement for integration, together with the maintenance to a greater or lesser extent of the language of the country of origin characterizes the sociolinguistic profile of first and second generation migrants. This is a paradigmatic social phenomenon of continuity and disruption of the cultural background of individuals in contemporary societies. The present study addresses the role of language in shaping the identity of young people in a specific migration context: the Hispanic American population in Italy. In particular, will be analyzed the case of Spanish-speaking university students as representatives of an intermediate generation fully integrated in Italian society and that, at the same time, maintains a strong link with their cultural roots.
Latest Strategic Surface Metering System and Progress Status in CLT

This presentation provides description of the field evaluation of surface metering deployed by NASA in Charlotte International Airport (CLT) that began with a more tactical decision timeline and progressively expanded toward more strategic timelines. This will include an update on the latest status of the ongoing research and lessons learned.
Investigation of key success factors for open innovation and firm performance in Indian IT and ITeS industry: A Systematic Literature Review

Information Technology is a growing industry in India. Currently it constitutes around 7.7% of India’s GDP and the contribution is expected to rise by another 2.3% leading to a 10% share by the year 2025. Broadly the Indian IT sector can be categorized into two. They are the IT services and the IT enabled Services (ITeS). The expansion of the Indian economy has also led to the developments within the country to a large extent. The workforce in the sector constitutes more than 4mn. This field has further more wide opportunities of growth in terms of open innovation and the performances of the firms. Our nation lags behind the other countries of the world in both the terms. Being a nation filled with talents, this is an issue of concern and hence need to be addressed. As a result, a SLR has been prepared to understand the factors responsible for the growth of inventions and breakthroughs in IT and ITES along with those reasons responsible for the performance of any firm. Further research can be done with special focus on the corresponding factors which will prove to be a fruitful one for the IT sector and the Indian economy as a whole.
The Role of Information and Communication Technology to Combat COVID-19 Pandemic: Emerging Technologies, Recent Developments and Open Challenges

Y The world is facing an unprecedented economic, social and political crisis with the spread of COVID-19. The Corona Virus (COVID-19) and its global spread have resulted in declaring a pandemic by the World Health Organization. The deadly pandemic of 21st century has spread its wings across the globe with an exponential increase in the number of cases in many countries. The developing and underdeveloped countries are struggling hard to counter the rapidly growing and widespread challenge of COVID-19 because it has greatly influenced the global economies whereby the underdeveloped countries are more affected by its devastating impacts, especially the life of the lowincome population. Information and Communication Technology (ICT) were particularly useful in spreading key emergency information and helping to maintain extensive social distancing. Updated information and testing results were published on national and local government websites. Mobile devices were used to support early testing and contact tracing. The government provided free smartphone apps that flagged infection hotspots with text alerts on testing and local cases. The purpose of this research work is to provide an in depth overview of emerging technologies and recent ICT developments to combat COVID-19 Pandemic. Finally, the author highlights open challenges in order to give future research directions.
Cyber Security Threats in the Era of COVID-19 Pandemic: A Case Study of Nigeria System

The entire world is currently witnessing one of the biggest disease outbreaks of the century. The COVID-19 outbreak which has been pronounced as a pandemic by the World Health Organization has affected the lives of individuals, organizations and the society at large. As a result of this crisis, a lot of employees now rely on their mobile phones, laptops and access to the internet to work remotely from home. Moreover, most businesses are now being done online to reduce physical interaction. The health sector is not left out with increase in teleconsultation and telemanagement. Most schools have gone digital to ensure learning is not impaired. All these conditions have led to a sudden rise in the use of internet technologies and indirectly to an increase in cybercrimes. Cyber criminals have seized the opportunity to attack individuals and organizations to perpetrate a lot of evil using various techniques. This paper gives an overview of various cyber security threats carried out during the COVID-19 pandemic and presents an analysis of cybercrimes in Nigeria. In conclusion, some techniques of detecting and avoiding these threats even after the pandemic are recommended so that damage caused by cybercrimes can be curtailed.
Field Embedding: A Unified Grain-Based Framework for Word Representation

Junjie Luo, Xi Chen, Jichao Sun, Yuejia Xiang, Ningyu Zhang, Xiang Wan. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.
Does technology assist or hinder educational objectives

The context is the experience of the students of the English Language Department of a large university in Ecuador, in confronting the unexpected switch from face-to-face classes for learning English as a Foreign Language (EFL) to online provision, in response to the onset of the coronavirus pandemic in March 2020. The specific focus was on their appreciation of the educational technology utilised and as to whether they considered it to be a help or a hindrance in the pursuit of their learning. An investigation of a qualitative character was arranged by the author, one of the English teachers there, involving a population of some 100 students who were asked to participate in online forums. The results were a rich mixture of comments and reactions, many favourable but also a good many expressing reservations, pointing to the diversity of learning expectations and preferences among the students, but also reflecting their varying home and employment circumstances. It was concluded that the technology in itself was capable of helping or hindering, dependent not only upon users’ requirements and the teaching strategies employed, but also upon economic circumstances, quality of equipment used and of the relevant public utilities.
DYNAMIC SEPARATION LOGIC AND ITS USE IN EDUCATION

Mathematical logic is widely used in hardware and software verification. Hoare logic is particularly suitable for reasoning about imperative programs. Its extension, separation logic, introduces the separating conjunction, which makes it possible to reason about programs working with pointers and mutable data structures. Dynamic logic, an ex-ample of modal logic, is yet another formalism used for verification. This article introduces propositional dynamic separation logic, which adds separating conjunction to dynamic logic. We describe syntax, semantics and Hilbert-style deductive system for propositional dynamic separation logic and prove its soundness. The definition of the logic is rather abstract. Thus, the programming language consists of so-called regular programs rather than while-programs, and the set of atomic commands can be arbitrary as long as they correspond to local actions. Special attention is devoted to the soundness of the frame rule, which allows writing program specification using a small footprint, i.e., specifying exactly the portion of the heap that the program reads or writes. Programs that perform tests are also treated differently from regular dynamic logic. The article also argues for the use of separation logic in computer science curriculum. It is more intuitive that other substructural logics and can be taught even in introductory logic courses. At the same time, it is an active research area with numerous verification tools built on its foundation. Therefore, it serves an excellent introduction to formal methods.
Deep Learning Diagnostics ‒ How to Avoid Being Fooled by TensorFlow, PyTorch, or MXNet with the Help of Modern Econometrics

Training a Multi-Layer Perceptron (MLP) to achieve a minimum level of MSE is akin to doing Non-Linear Regression (NLR). Therefore, we use available econometric theory and the corresponding tools in R. Only if certain assumptions about the error term in the Data Generating Process are in place, may we enjoy the trained MLP as a consistent estimator. To verify the assumptions, careful diagnostics are necessary.Using controlled experiments we show that even in an ideal setting, an MLP may fail to learn a relationship whereas NLR performs better. We illustrate how the MLP is outperformed by Non-Linear Quantile Regression in the presence of outliers. A third situation in which the MLP is often led astray is where there is no relationship and the MLP still learns a relationship producing high levels of R². We show that circumventing the trap of spurious learning is only possible with the help of diagnostics.