Reviewerly/exHarmony huggingface dataset:
Virtual Assistance Using Chatbots

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
INFOBOX 4.1 Modeled impact of total solar irradiance (TSI) forcing

Until recently, models used for projections of the future climate typically did not include modeling of processes above the troposphere.In such models, the radiation budget deals with the visible and infrared part of the spectrum, and the absorption, reflection, and re-emission of solar radiation from the surface and the lower atmosphere.For this purpose, the solar forcing can be characterised by one single quantity -the total solar irradiance (TSI).It is defined as the solar radiative energy flux per unit area at the distance from the Sun corresponding to the Earth's orbit.The TSI mechanism is the only component of the solar forcing that is usually included in simple energy-balance climate models (EBMs), but above-troposphere processes and spectral distribution of the solar radiation, the solar spectral irradiance (SSI), are included in many of the modern, complex general circulation models (GCMs).EBMs consider only the energy exchange between different parts of the climate system and the balance between radiative energy received from the Sun and radiation loss from the Earth to space.Moreover, GCMs model the dynamics of the fluids of the atmosphere and the oceans, and include sea ice and land surface processes.The more advanced Earth system models (ESMs) may include the effect of atmospheric aerosols, atmospheric and ocean chemistry, the carbon cycle, dynamic vegetation and ocean biology, and ice sheets.The most advanced models have been standardized and compared in the climate model intercomparison projects CMIP3 and CMIP5, which are presented in the later reports of the Intergovernment Panel of Climate Change (IPCC).Results for these model ensembles are shown in panels (a) and (c) of Figure 1.The TSI forcing could be considered a first-order approximation to the true solar forcing.It is reasonable to use it in conceptual and simplified climate models like the EBMs, but the most sophisticated ESMs should also include the kind of physics and chemistry described in this chapter.Nevertheless, many features of global surface temperature, as observed in instrumental records, paleo-reconstructions, or ensembles of climate-model
Our Perception is Biased

What we perceive is not an accurate reflection of our environment. It is biased by at least three factors: past experience, current context, and future goals. This chapter discusses these factors in detail, gives examples of how they bias perception, and explains their implications for designing interactive systems.
Hand Gesture Control Media Player

Motion is a most ideal approach to offer contribution to the gadget. Motion is a standout amongst the most distinctive and emotional method for correspondences amongst human and PC. Hence, there has been a developing enthusiasm to make simple to-utilize interfaces by straightforwardly using the common correspondence and administration abilities of people. This application contains a focal calculation module which portions the frontal area part of the edge utilizing skin discovery and inexact middle strategy. The acknowledgment of signal is finished by making a Decision Tree, which utilizes different components extricated from the fragmented part.
ENERGY LITERACY, RECYCLING AND RATIONAL USE OF MATERIALS IN THE DAILY LIFE ΙΝ STUDENTS OF THE FIFTH CLASS PRIMARY SCHOOLS OF AN URBAN AREA

Decreasing the ecological impact, through the reduction or non-use of material and energy, is an important modern educational challenge in the context of education for sustainable development.Information, environmental awareness and enhancing students' critical thinking shape tomorrow's critically-minded adult citizens.The purpose of this research is to capture and highlight the basic knowledge, perceptions and daily practices of using material and, indirectly, energy, in the daily lives of children, counting their existing energy literacy.It was implemented in 132 students of Fifth Grade of three primary schools in an urban area of Rhodes using a questionnaire of 19 closed-ended questions.The data were analyzed with the statistical program SPSS 23 and are presented descriptively.The results of the study show that the bicycle was chosen by a limited number of children, as an environmentally friendly mean of transportation.However, yet, many children travel on foot to and from school, contributing significantly to saving resources.Also, according to their statements, they save a lot of water in their various daily personal uses, such as brushing their teeth, their faces, using a shower for their physical hygiene and washing their family car.Nevertheless, they use an extensive amount of bottled water as drinking water, resulting the deterioration of the issue plastic production and management.Although they know a lot about the issue of transporting food from distant areas, they still consume a lot of such foods in their daily life, while vegetarianism is extremely rare as a way of eating, as well as their knowledge about local seasonal fruits.They, also, state that there is a very significant degree of recycling and separation of materials in the school units they attend, while in their homes it is implemented to a lesser degree compared to schools.Furthermore, while the recycling of light bulbs is generally carried out to a significant degree, their placement to special lamp bins instead of light glass bins in ordinary glass bins is sometimes confused.This is also the case for batteries.When it comes to printing files on a printer, there is generally good paper handling and reuse, but not enough ink savings.Also, from their statements, it appears that packaging materials are taken into account to a significant extent when purchasing products.Overall, there is quite environmentally friendly behaviour which, of course, needs to be reinforced with specialized teaching approaches in the context of education for sustainable development and a possible final repetition of the study at a later time for the evaluation of interventions in the context of energy literacy.
USE OF FOOT ABDUCTION BRACE IN TREATMENT OF CLUB FOOT

Background: Clubfoot is a congenital deformity that typically has four main components; supination and adduction of the forefoot and midfoot; equinus of heel and hindfoot varus. Objectives:The purpose of this study was to prove that most of children with congenital idiopathic club foot can be managed excellently by foot abduction brace following correction of the deformity by ponseti method.Methods: 86 children with clubfeet were enrolled in a prospective study managed by serial manipulation and casting as described by Ponseti from 2015 to 2018 including initial correction of the deformity and minimal corrective surgery, following full correction the patients were managed by foot abduction brace with full day protocol for 3 months and then nap and night protocol for 2 to 5 years with follow up till December 2018 Results: Total full correction was obtained in 98% of feet in rolled, 76.2% of patients were males, 23.8% were females, 45.3% with bilateral club feet, 54.7% with unilateral club foot, the number of casts required to full correction was 3-7 casts, compliance with splint was 84.5%, our complications was 5.1% with ulcer on the leg or foot, 7.7% with splint falling and 15.5% of feet developed relapse. Conclusion:Foot abduction brace is a safe and effective treatment for congenital idiopathic clubfoot following correction by ponseti method and radically decreases the need for extensive corrective surgery.This splint mostly useful in children up to 5 years of age, after that it can decrease the magnitude of any required procedure.
Visual Information Retrieval for Videos Based on Feature Extraction using Machine Learning Techniques

Information retrieval is one of the important areas of research with highest scope for data mining combined with machine learning. The proposed research focus on visual information retrieval by applying machine learning techniques. The usage of multimedia data such as text, images, videos are abundantly increasing day by day in this smart era. Also the need for information classification and retrieval are getting exponential demands to fulfill the research and end user requirements. The tech giants are conducting their researches to develop efficient retrieval systems for videos. Video retrieval is considered to be the toughest and challenging research in the recent times. Due to large storage space, lengthy play time, multiple sequence of frames, spatial temporal challenges, lack of visual relevancy, less hardware and processing support. The proposed visual information retrieval has got higher scope of research with the above listed problems.
Examination of Automotive as Machines used for Engineering Education

The authors are engaged in educational and research activities on automobiles in engineering education, and have been conducting research on the body structure of student formula automobiles, design education on small ATVs, and development of EV carts for introductory engineering education. In this research, we will take a bird's-eye view of the process and results of these education and research, examine the possibility of automobiles as machines used for engineering education, and clarify the value of engineering education machines.
Health Care and Internet of Things

Internet of Things (IoT), a term invented by Kevin Aston refers to a network of connected objects across the globe through some internet networks, software applications, electronic devices, and sensors which are capable of collecting and exchanging data among themselves. In the decade to come the impact of IoT will be seen in all possible verticals of human and societal development like transport, education, retail, health, finance etc. Health and medical progress is prime vertical of human development and symbol of a developed, strong and successful nation. This paper is an attempt to identify and discuss the possible roles of IoT with respect to solve certain important problems faced by health sector. This paper is an attempt to put together a survey of widely known health issues and their related IoT solutions with an aim to reduce them. This paper is written with a thought to serve as a source of information to researchers, student, and developers to implement solutions, frameworks, technologies and projects exploiting IoT for health sector.
Comprehensive evaluation of cloud services based on fuzzy grey method

Cloud-based applications have become more and more popular. However, it remains a big challenge to comprehensive evaluate the reliability and performance of cloud providers and services due to the reason that Cloud is extremely dynamic and uncertain, resources distributed, virtualised, and freedom of entry and exit. The grey theory is adapted to handle the problems of blurring and uncertainty. Therefore, based on the grey relational analysis and grey comprehensive evaluation method, this paper proposes a novel trust comprehensive evaluation method for cloud services, also a comprehensive user satisfaction evaluation method for the better selection of suitable providers. In addition, it discuss in detail the construction and calculation of the evaluation model by case study.
Generating Functional for Connected Green’s Functions and the Effective Action (1PI Diagrams)

Quantum Field Theory provides a theoretical framework for understanding fields and the particles associated with them, and is the basis of particle physics and condensed matter research. This graduate level textbook provides a comprehensive introduction to quantum field theory, giving equal emphasis to operator and path integral formalisms. It covers modern research such as helicity spinors, BCFW construction and generalized unitarity cuts; as well as treating advanced topics including BRST quantization, loop equations, and finite temperature field theory. Various quantum fields are described, including scalar and fermionic fields, Abelian vector fields and Quantum ElectroDynamics (QED), and finally non-Abelian vector fields and Quantum ChromoDynamics (QCD). Applications to scattering cross sections in QED and QCD are also described. Each chapter ends with exercises and an important concepts section, allowing students to identify the key aspects of the chapter and test their understanding.
Cyber security Attacks: Exploiting weaknesses

Due to the technology growth throw the years, Hackers are evolution a divers and sophistication methods to attack systems security. Mostly these attacks occur to get personal benefits from harming the system physically by steeling and destroying devices that contain precious information or non-physically (logically) by alter and eavesdrop on sensitive data and more than that. This paper surveys aim to discuss the most common cyber security attacks types, what the mechanisms that used in these attacks and how to prevent the system from these threats. In particular, it concentrates on exploiting the system vulnerabilities to steal information and gain benefits from it.
Supplementary material to &amp;quot;Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10)&amp;quot;

The University of Victoria Earth system climate model of intermediate complexity has been a useful tool in recent assessments of long-term climate changes including paleo-climate modelling.Since the last official release of the UVic ESCM 2.9, and the two official updates during the last decade, a lot of model development has taken place in multiple groups.The new version 2.10 of the University of Victoria Earth System Climate Model (UVic ESCM), to be used in the 6 th phase of the coupled model intercomparison project (CMIP6), presented here combines and brings together multiple model developments and new components that have taken place since the last official release of the model.To set the foundation of its use, we here describe the UVic ESCM 2.10 and evaluate results from transient historical simulations against observational data.We find that the UVic ESCM 2.10 is capable of reproducing well changes in historical temperature and carbon fluxes, as well as the spatial distribution of many ocean tracers, like temperature, salinity, phosphate and nitrate.This is connected to a good representation of ocean physical properties.For the moment, there remain biases in ocean alkalinity and dissolved inorganic carbon, which will be addressed in the next updates to the model.
Challenges of Information Security in the Contemporary Cyber Threat Perception

Information security comprises advancements, methods and practices proposed to guarantee protection of system hubs, programs, information, data and system from hack assaults, modifications to data or unintended access. To repress cybercriminals from gaining access to system resources specifically sensitive data, it is fundamental for organizations and individuals to take necessary actions to preserve the confidentiality, integrity and availability of delicate data. Information security spreads complex strategies to safeguard not only data during transmission, but also data stored in the system even when the system is not connected to the internet. In other words, it encompasses security of both data at rest and data in transmission. Numerous strategies have been employed by the professionals to protect organizations and records from interlopers. To deal with malevolent projects, there are a great deal of "off the rack" just as tweaked items accessible in the market which additionally give ongoing barrier and security to the delicate and sensitive data. There is still absence of techniques on the most capable strategy to appear and execute tasks that can be accustomed to the activities taking place at real time. This paper focuses on looking into the present methodologies used to give digital security, and identify the various loopholes in the present situation
Image Denoising with Recurrent Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Edge-Preserving Segmentation Based on OAMNHA

The most essential process in image processing applications is eliminating the noisy pixels from the images and acquiring the noise-free images with better reconstructed quality. This process has high complexity due to the segmentation of image patches from the noisy images. To simplify this process, Neuro-Fuzzy filtering with Optimum Adaptive parameterized Mask Non-Harmonic Analysis in Curvelet Transform domain (NF-OAMNHA-CT) has been proposed for image denoising. It uses NF edge detector instead of canny edge detector for segmenting and preserving the edge regions including homogeneous texture boundaries with minimized edge distortion. However, it requires gradient information about the error function with respect to the parameter measures during training of NF for optimizing their parameters. Also, it often affects with the fixed local minima. Therefore in this article, Recurrent Polak- Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy (RPCGNF-OAMNHA-CT) technique is proposed to enhance the edge-preserving segmentation in image denoising. At first, the noisy images are defined in the CT domain and fed to the RPCGNF edge detector as edge-preserving segmentation that segments and extracts the edge regions as well as homogeneous texture regions. In this RPCGNF technique, recurrent mechanism is applied to construct PCGNF as an updated edge-preserving segmentation technique that learns their parameters with high efficiency and speeding up the convergence. As a result, the edge regions and homogeneous textures are synchronously segmented as noisy pixels until either the PCGNF converges to the desired accuracy of segmentation or a termination criterion is reached. Further, OAMNHA is applied on each segment to remove the noisy pixels from the images and obtain the noise-free images accurately. Finally, the experimental results illustrate the proposed RPCGNF-OAMNHA-CT technique achieves higher efficiency than the NF-OAMNHA-CT technique in terms of Peak Signal-to-Noise Ratio (PSNR), Mean Absolute Error (MAE) and Structural Similarity (SSIM).
An Efficient Neural Network Model by Weight Roll Algorithm

Deploying deep learning models require extraction of the model weights from the training environment and saving them to files that can be shipped to production. Often complex models have large model file size and it is difficult to transport those models, this paper aims to reduce the size of the model file while transferring the trained weights to production environ-ment. Weight rolls is an algorithm that rolls down (reduces) the trained model weights to a smaller size, in some cases even re-duced by a proportion of one thousand (1,000). On the produc-tion environment this is again unrolled to regain the original weights that were learned by the neural network during its train-ing phase. Weight rolls uses a compressed pictorial representa-tion of the weights array along with a pix-to-weight neural net-work to transport the learned weights which can be used on the other end for the unrolling process. The pix-to-weight network maps the pixels of the compressed weight image to the original floating point values which in the unrolling phase is used to transform the pixels into corresponding floating point values of trained weights.
Apache Infrastructure

Apache NetBeans is open sourced under the Apache Foundation. As such, becoming a part of the Apache NetBeans development community is quite easy, and there are many ways to do so. The Apache Foundation is based upon an easy environment for newcomers to come on board, and it is also intuitive for those who have been part of the community for years to contribute. There are a few key parts of the Apache Foundation infrastructure that play a role in participation within the Apache NetBeans community. The JIRA is an issue tracker that can be used by those in the community for reporting issues and also for tracking work that is to be done on a project. Apache uses Confluence, a project management site for the Apache NetBeans wiki. The NetBeans wiki is a dedicated resource for documentation of development and initiatives around the project. An open set of mailing lists is used to coordinate work. And finally, the most public focal point, the Apache NetBeans website is maintained by the community.
The Need for Higher Education in Cyber Supply Chain Security and Hardware Assurance

Higher education curricula, specialized degrees, and certificate programs related to cybersecurity are proliferating in response to student demand; faculty interest and expertise; employer demand; government and industry standards and funding; and the expectations of specialized, state, or regional accrediting agencies. These expanding academic programs, however, do not adequately address supply chain threats that affect national security. The authors assert that cyber supply chain risk management (C-SCRM), with a focus on hardware assurance, should be considered a critical aspect of cybersecurity and be included in higher education curricula to prepare the future cyber workforce to face challenges related to supply chain security and hardware assurance.
CoGBUS- Center of Gravity based under Sampling Method for Imbalanced Data Classification

Learning of class imbalanced data becomes a challenging issue in the machine learning community as all classification algorithms are designed to work for balanced datasets. Several methods are available to tackle this issue, among which the resampling techniques- undersampling and oversampling are more flexible and versatile. This paper introduces a new concept for undersampling based on Center of Gravity principle which helps to reduce the excess instances of majority class. This work is suited for binary class problems. The proposed technique –CoGBUS- overcomes the class imbalance problem and brings best results in the study. We take F-Score, GMean and ROC for the performance evaluation of the method.
Water

Research Article| May 01 2020 Water Robin Gow Robin Gow Robin Gow is a professor and MFA student of creative writing at Adelphi University. They currently serve as the editor-at-large for Village of Crickets and the social media coordinator for Oyster River Pages. Their first full-length collection, Our Lady of Perpetual Degeneracy, is forthcoming. Search for other works by this author on: This Site Google the minnesota review (2020) 2020 (94): 3. https://doi.org/10.1215/00265667-8127985 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Robin Gow; Water. the minnesota review 1 May 2020; 2020 (94): 3. doi: https://doi.org/10.1215/00265667-8127985 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. Copyright © 2020 Robin Gow2020 Article PDF first page preview Close Modal Issue Section: Creative You do not currently have access to this content.