Reviewerly/exHarmony huggingface dataset:
Security Issues in Inter-Cloud Communication

Cloud computing is an emerging and upcoming field of discussion and advancement in computer science. This is mainly due to its popularization in the world of computing which has happened due to its limitless applications like Gaming, education, health care, It enterprises, daily life and many more. Accessing confidential data from cloud is an issue of concern as many users at a time can have access to the same cloud. Moreover, some users accessing the cloud information can be malicious and can destroy the data stored in the clouds which makes cloud computing suspicious and less reliable to use. Users may think that it’s more secure to save your data on the personal machine rather than accessing through a common cloud which is accessible to all. Keeping in mindthese cons a concern is raised about the security issues in cloud communication. The two ways of accessing data from clouds are intra-cloud i.e. accessing data within the cloud and inter-cloud communication i.e. accessing data from different clouds to fulfill user requirements. Although the intra-cloud communication is secured from outside threats, there are still prevailing security risks due to the transferred data between two services could potentially be ‘visible’ to the cloud provider. It is possible for a malicious neighbors for instance within the same physical machine or LAN to sniff the transferred data. However, inter-cloud communication raises an even higher security risk than that in intra-Cloud communications because the transferred business data goes through multiple cloud infrastructures and the entrusted public Internet. Considering the above points a review paper on various security issues in inter-cloud communication is written in which various reasons of security threats posed to inter-cloud communication are discussed with their potential solutions.
Validation of analysis methods in drug quality control

Department ofPharmaceutical and Toxicological Chemistry, Nicolae Testemitanu State University ofMedicine and Pharmacy, Chisinau, Republic of Moldova, The 8th International Medical Congress for Students and Young Doctors, September 24-26, 2020
Använd koden THERESE10 för 10% mer klimatpåverka : En multimodal kritisk diskursanalys av hur influencer marketing uppmuntrar till konsumtion och hur detta kan ses som ett uttryck för greenwashing.

The following study aims to examine how influencer marketing contribute to an increased consumption in today’s society through their communication on social media, as well as how this communication ...
Skin in the Game: Modulate AI and Addressing the Legal and Ethical Challenges of Voice Skin Technology

This educational toolkit from the BKC Policy Practice on AI includes a case study, a teaching note, and a background primer. Collectively, they comprise a toolkit that can illuminate some of the challenges in moving from AI principles to practice. The case study, Skin in the Game: Modulate AI and Addressing the Legal and Ethical Challenges of Voice Skin Technology, follows MIT alums and friends Carter Huffman and Mike Pappas, who co-founded Modulate in 2017 to commercialize their technology for creating synthetic voice skins. By innovatively applying concepts from artificial intelligence systems called Generative Adversarial Networks (GANs), the two men had created a novel approach to make one voice sound like another in real time. Although Modulate had extremely limited human and financial resources, Huffman and Pappas wanted to ensure that this technology, with its ability to match the timbre of almost any individual on the planet, would not be misused. How could they simultaneously push Modulate forward, maintain its technological and competitive edges, and make their investors happy, while also upholding a code of ethics? For a tiny company like Modulate, what did this look like? Written by Rachel Gordon, Research Associate, Teaching Learning and Curriculum Solutions, Harvard Law School Library, and Ryan Budish, Assistant Research Director, Berkman Klein Center for Internet & Society at Harvard University, this case was developed as a basis for discussion in educational and training environments. It is intended to spark discussions among students as they put themselves in the place of the Modulate co-founders, and explore the conflicts and tensions that they faced. The case is not an endorsement of any one approach or business, but instead highlights the complex and dynamic challenges that AI ethics can present in the real world.
Writing competence of junior high school students at two junior high schools in Yogyakarta

The problem limitation in this research is only about English writing competence in junior school and only compare two schools in Yogyakarta, that are MTs Negeri 1 Bantul and SMPN 1 Pengasih. To describe the student writing competencies at two junior high schools. The objectives of this study are to reveal the factors affecting the students writing competencies and to find out the solution to overcome the problem in writing competencies. In collecting data, the researcher used documentation technique. This technique was implemented by making use of teachersâ€™ collection of the studentsâ€™ writing tasks. Based on the result and analysis, so the conclusion in this research as follows the writing competencies of the ninth grade students of two junior high schools are at good enough level. The factors affecting the students English writing competencies are their ability, the learning process and classroom situation.Â When the students weak in grammar, they have to make practice more, and also when they got in doing the difficult assignment. When the step of rhetoric weak, so the students must more practise in daily life, also for the make clarity of meaning and the relationship between ideas can improve by more practice in daily life, they can use the English language. About the weak vocabulary, so the teacher can practice and give more homework about the vocabulary and the task for example in writing and reading a lot of procedure text or story. The solution to overcome the problem in writing competencies such as make a lot of training or practice English in daily life, the teachers should employ active learning to support students engaged in teaching-learning process
IMPLICATIONS OF ARISTOTLE’S THEORY OF EDUCATION TO TECHNICAL EDUCATION AND TRAINING IN KENYA

Since ancient civilizations, education and training has been regarded as the tool for individual and societal development. All developing nation thus have embraced education and training as part of state agenda in realizing better citizenry and societal growth. In Kenya various efforts in reforming Technical education and training in order to reorient training to the countries developmental agenda and empowering the youth for employability have been undertaken from time to time in order to review the relevance of education and training in Kenya. This paper attempts to analyze Aristotle’s metaphysical, ethical and epistemological principles with the view to render salient ideas that contribute to the formulation of worthwhile theories of education in the context of Kenya’s 21st century realities. In addition, Aristotle’s views “experiential learning” and “lifelong learning” are analyzed. Consequently, it is evident that contemporary education in Kenya is inadequate in several ways. It is therefore recommended that education in Kenya should embrace a multidimensional orientation that ensures the physical development, mental development and moral development for realization of individual empowerment. Article visualizations:
Social Engineering Infosec Policies (SE-IPS)

The sudden increase in employees working primarily or even exclusively at home has generated unique societal and economic circumstances which makes the protection of information assets a major problem for organizations. The application of security policies is essential for mitigating the risk of social engineering attacks. However, incorporating and enforcing successful security policies in an organization is not a straightforward task. To that end, this paper develops a model of Social Engineering InfoSec Policies (SE-IPs) and investigates the incorporation of those SE-IPs in organizations. This paper proposes a customizable model of SE-IPs that can be adopted by a wide variety of organizations. The authors designed and distributed a survey to measure the incorporation level of formal SE-IPs in organizations. After collecting and analyzing the data which included over fifteen hundred responses, the authors found that on average, organizations incorporated just over fifty percent of the identified formal Social Engineering InfoSec Policies.
Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints

Recently, there has been significant progress designing deep generative models that generate realistic sequence data such as text or music. Nevertheless, it remains difficult to incorporate high-level structure to guide the generative process. We propose a novel approach for incorporating structure in the form of relational constraints between different subcomponents of an example (e.g., lines of a poem or measures of music). Our generative model has two parts: (i) one model to generate a realistic set of relational constraints, and (ii) a second model to generate realistic data satisfying these constraints. To train model (i), we propose a novel program synthesis algorithm that infers the relational constraints present in the training data, and then train the models based on the resulting relational constraints. In our experiments, we show that our approach significantly improves over state-of-the-art approaches in terms of capturing high-level structure in the data, while performing comparably or better in terms of low-level structure.
Research Guides: Periodicals [journals, magazine, newpapers, etc.]: Getting Started

Provides resources for finding periodicals. If unsure where to start, or need help, please ask a librarian for help..
Influence of AI, IoT and BC for Healthcare in Smart Cities - I

A smart city is the dream project of all the countries around the world. The infrastructure of developed countries is excellent to support the smart city establishment. Information, communication, and technology are the components that enable the digital environment. The healthcare system requires a high level of accuracy and precision to ensure a safe background for all people involved in it. Electronically enabled healthcare maintenance in place of manual maintenance makes the system very efficient. Artificial intelligence, the internet of medical things, and blockchain join hands to support the healthcare system to provide a prediction of diseases and an early monitoring system based on criticality. Patient’s electronic records are getting fine-tuned by digital scribes in place of human scribes. The follow-ups, conversations with the doctor, and patient information are stored in a record using the machine learning algorithms and text mining concepts. Internet of things (IoT) in healthcare acts as a bridge between the patience and medical practitioners via wireless communication and computing devices. Incorporating blockchain technology in electronic health records makes the system highly secured and an optimal privacy environment. Personalized and elderly healthcare is a very important area to be considered in populated cites. Patient management on the whole from entering until getting well along with follow-ups are criteria for the best system.
LibGuides: Topics in Business: Industry Research: Library Databases

A review of industry research sources, including databases, free online federal and state government resources, and more.
WITHDRAWN: Towards an automatic parameter setting for MIMU sensor fusion algorithms

This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal
Evaluation of Fractal Variance-Distance Model in Identifying Geochemical Anomalies of Calamine Mehdiabad Mining Complex, Central Iran

In this paper, a power-law relation modeling called the vario-fractal model is introduced in order to understand the discrepancies between the linear and non-linear distribution of the elements and its application for mineral exploration in the calamine Zn-Pb ore-deposit. From a hypothetical viewpoint, since geochemical zonation of the supra- and sub-ore elements is a crucial evaluation criterion for concealed/underlying mineralization potentials, this hypothesis can be tested by delineating the fractal surfaces of elements as the geometric evidence of primary geochemical zonation of elements in the calamine mine. A comparison of the linear regression results with the Poisson distribution coefficients indicate the relative tendency of the elements towards a non-linear distribution. Therefore, a logarithmic equation derived from the variance-distance relationship (power-law) is used here for the delineation of fractal surfaces of elements as the geometric features related to proper self-organized distributions. In this research work, the vario-fractal expression of geochemical zonation has trace-element tendencies to the non-linear distribution. The results obtained show that the calamine’s fractional surfaces are mostly of self-organized types, situated at 2 < FD < 3 as fractal surfaces, although 3 of the elements appear in the quasi-fractal populations called Brownies” here. Moreover, the calamine’s fractal surfaces can be extended throughout the anomalous regions or may be distributed as limited types of the finalized model, which is a fractal-based pattern of geochemical zonation of the elements for evaluation of the hypogenic mineralization potential and has been prioritized to 6 target-areas containing 10 elements with real fractal surfaces and 3 more at near Brownies and then validated by the mineralogical evidence.
PhEmaterialism: Response-able Research & Pedagogy

This Special Issue offers PhEmaterialisms as a way to explore the world asvital and complex, while simultaneously being response-able to the multiple ethical imperatives of late-stage capitalism. We argue that PhEmaterialist thinking and practices can help us grapple with growing educational complexities, enabling strategies toresist and create alternatives to the patterns of injustice occurring across the world, from burgeoning ethno-nationalist and neo-fascist political movements, to rising global poverty levels, to massive population displacements, to environmental degradation, to toxic internet movements grounded in misogyny, homophobia, transphobia, and xenophobia (Strom & Martin, 2017a). To understand, enquire into, and generate action worthy of the complexity of our times requires a fundamental shift in our thinking and research practice. This shift disrupts the foundational logic on which dominant thinking in education (and indeed, all Western society) is based—humanism and anthropocentrism (Braidotti, 2013; Murris, 2016; Snaza et al, 2014). Instead, we argue that we need to put theories/concepts to work in education and educational research which can better account for the multiple, entangled, ever-shifting, difference-rich nature of processes of teaching, learning, schooling, and activism. For this work, we also draw on a rich feminist legacy attentive to unequal power relations (e.g., Ahmed, 1998; Anzaldua, 1999; hooks, 1994; Spivak, 1978), and our critical approach to rethinking Vitruvian “man” is especially informed by posthuman/new materialist feminist thinkings and thinkers, including Rosi Braidotti, Donna Haraway, and Karen Barad.
ARMCMC: Online Model Parameters full probability Estimation in Bayesian Paradigm

Although the Bayesian paradigm provides a rigorous framework to estimate the full probability distribution over unknown parameters, its online implementation can be challenging due to heavy computational costs. This paper proposes Adaptive Recursive Markov Chain Monte Carlo (ARMCMC) which estimates full probability density of model parameters while alleviating shortcomings of conventional online approaches. These shortcomings include: being solely able to account for Gaussian noise, being applicable to systems with linear in the parameters (LIP) constraint, or having requirements on persistence excitation (PE). In ARMCMC, we propose a variable jump distribution, which depends on a temporal forgetting factor. This allows one to adjust the trade-off between exploitation and exploration, depending on whether there is an abrupt change to the parameter being estimated. We prove that ARMCMC requires fewer samples to achieve the same precision and reliability compared to conventional MCMC approaches. We demonstrate our approach on two challenging benchmark: the estimation of parameters in a soft bending actuator and the Hunt-Crossley dynamic model. Our method shows at-least 70% improvement in parameter point estimation accuracy and approximately 55% reduction in tracking error of the value of interest compared to recursive least squares and conventional MCMC.
Efficient Advertisement Slogan Detection and Classification Using a Hierarchical BERT and BiLSTM-BERT Ensemble Model

The advertising slogan is a short sentence that is considered as one of the fundamental terms to promote business brands and attract customers’ attention to consuming the products. Most of the existing works paid less focus on identifying a perfect slogan as a slogan which is not a regular sentence. Again, these methods didn’t detect the related context of the slogans in an automated way. To resolve this problem, we have proposed a hierarchical method using the BERT model to effectively detect slogans as well as classify those slogans into related contexts using an ensemble model of BiLSTM-BERT. We have got 97.43% accuracy in slogan detection and 82.5% accuracy in context-wise slogan classification. Our model is capable of effectively identify the inner meaning of the advertisement slogans to align them into a deserving brand’s promotional context.
Geochemical Characterization and Rare-Metals (Ta-Nb) Mineralization Potentials of Pegmatites Around Lokoja, Central Nigeria

Pegmatite bodies intruding the basement complex as dykes and large veins around Lokoja were studied geochemically to characterise them and determine their rare metals mineralization potentials. Thin sections studies show they are predominantly made up of quartz, microcline, muscovite, opaque minerals, occasional biotite and some minor/accessory beryl, apatite and zircon. Composite whole-rock samples were analysed for major, trace and rare earth elements using X-Ray Fluorescence Spectrometer (XRF) and Inductively Coupled Plasma Mass Spectrometer (ICP-MS). The results reveal the pegmatites are considerably siliceous with SiO2 values of 69.00% to 74.60%. Al2O3 values are relatively moderate (14.80% to 19.60%). Na2O and K2O abundances are low with ranges of 2.32% – 5.93%, 1.22% – 11.00% respectively. MgO abundances are generally low (0.03 – 0.07%). Fe203 values are also low; ranging from 0.31% to 1.16%. Alumina Saturation Index (A/CNK) computation with values ranging from 1.40 to 3.06 indicates the pegmatites are peraluminous. Trace and rare-earth elements results show Bakunba location pegmatite is mineralised (Nb: 571.86ppm, Ta: 180ppm) and compare favourably with other mineralised pegmatites in Nigeria; while Ganaja-2 location (Nb: 100.37ppm, Ta: 26.6ppm) are moderately mineralised. Nb-Ta values of Shagari location (33.14ppm; 2.7ppm), Ganaja-1 location (12.6ppm; 3.6ppm) and Crusher location (0.91ppm; 0.2ppm) show they are barren. Various variation plot diagrams, such as Kb/Rb vs Cs, K/Rb vs Rb, also show mineralization status of these pegmatite bodies as compared with some local and foreign pegmatites. Plots of Zr vs SiO2, Rb vs Y+Nb and Rb vs Sr indicate the pegmatites are magmatic, from within plate granites and in crustal thickness of more than 30 km during the time of emplacement.
ЗАСТОСУВАННЯ ПРОГРАМИ GEOGEBRA У ПРОЦЕСІ ВИВЧЕННЯ РОЗДІЛІВ «МНОГОГРАННИКИ» ТА «ТІЛА ОБЕРТАННЯ»

The school has always been and remains a kind of model and a mirror that reflects the life and problems of the society. The idea of implementing innovative technologies in education provides for achieving the goal of high quality education, in other words, education that is competitive, able to provide each person with conditions for independent achievement of a goal, creative self-affirmation in various social spheres.Interactive technologies in learning help to understand better the learning material, to develop communication skills and activity, to create opportunities for independent research. One such environment for dynamic mathematics is GeoGebra which is based on the principles of dynamic geometry and computer algebra that allows to combine design, modeling, dynamic variation and experiment, build geometrically accurate images, print documents and publications on the Internet.This article considers the various functional capabilities of the environment which should be used in the construction of geometric bodies. In particular such as scans, sections and combinations of geometric bodies.The article considers the advantages of the interactive environment GeoGebra in comparison with other environments of dynamic mathematics, the directions of using the package of dynamic mathematics GeoGebra in geometry lessons. There are also various functionalities of this environment, which should be used in the construction of geometric bodies. In particular, such as polyhedra, their scans and sections, combinations of geometric bodies. GeoGebra program allows you to show the sequence of images of geometric shapes. The construction of cross sections of geometric figures is shown in specific examples.
Students’ and teachers’ perspectives on social media communication tools: A case study of BMSTU

The paper focuses on the role of remote teaching and e-learning in the context of modern tertiary engineering education by exploring students’and teachers’use of social media. A comparative analysis of the use of social media was carried out. The results of the survey on the attitude of students and teaching staff to the use of social networking sites in the educational process were analyzed. The study revealed the most commonly used multimedia tools in social media utilized for educational purposes by students and their instructors. Problematic issues that require further study in the implementation of social networks in the educational process are mentioned.
LibGuides: A Cure for Boardom: What You Want ...

Board Game Suggestions: All available at the Urbana Free Library. Figuring out who is playing and what kind of experience you want from the game