Reviewerly/exHarmony huggingface dataset:
“Books Shape Man”: A Study of Bibliomemoirs on Major Anglo-American Writers

The bibliomemoir is called a story about a story and very popular in the Western literary world. But it is rarely being dealt in Korea. This paper focuses on reading bibliomemoirs written about ten representative British-American writers who have changed the author s life. Traditional modern literary criticisms were impersonal and objective, preventing readers from easily approaching canons. However, sympathetic and friendly reading of canons in bibliomemoirs serves as a good catalystic guide to the Anglo-American major works for ordinary readers. In addition, in an increasingly mechanized era, the spread of reading by emotional and integrated reading by bibliomemoirs can revive the desire to read not only in the stagnant English literature classrooms but also in the sluggish domestic literary world, thereby cultivating culture and achieving selfgrowth. Above all, the sympathetic reading of bibliomemoirs allows the restoration of warm humanity to be formed and implemented.
Study of Morphofunctional Parameters of Blood Cells in Ischemic Stroke Using a Genome-wide Research

Biomarkers can play many useful roles in modern neurology. Early diagnosis and immediate therapy are important factors for reducing the degree of brain tissue damage in ischemic stroke, reduces the risk of death from stroke. In the current study, apolipoprotein CIII (ApoCIII), a biomarker of ischemic stroke, was found.
IS IT TIME TO RETHINK OUR SOFTWARE DEVELOPMENT PRACTICES?

Covid-19 has proliferated across the nations with increasing number of cases each day. Thus, IT companies are now forced to operate from remote places with limited IT resources. However, these companies across the globe are on continuous touch with their software development and maintenance teams to ensure that they are productive and are able to deliver their services on the projects on time. We study the challenges faced by the IT companies at this juncture and the need for a different software development approach to complete the projects successfully even during such crisis. In this context, when the IT industries are making attempts to complete their on-going software projects and also to attend to some critical up-gradation in their previously delivered products, the challenges faced by them due to acute shortage of IT resources and transforming the working model from physical setup to remote platform needs to be studied. This calls for studying the existing software development models and practices and defining an alternate one that would suit the present IT scenario.
Applications of Robot Staff in Hotels

Service robots are being increasingly employed as hotel staff in the hotel industry. This study explored how hotels can better use and implement service robots for their operation. Four hotels using robots as their staff are chosen as examples for investigating what positions the robot staff do and the comments from customers. It was found that the acceptance of robots in delivering transfer services (eg. Carrying luggage, delivering room service, etc.) are higher than when they provide services at the front desk. These results demonstrated that customers have expectations in engaging with heartwarming interaction with staff when they stay in the hotel, which the robot staff are not providing such interaction in current technology. Therefore, it is suggested that the hotels can arrange the robot staff with the position that do not interact with customers in the current stage. The robot staff can assist the human staff in providing service until they can develop a sophisticated system in two-way interaction.
Recent and upcoming events

research-article Recent and upcoming events Share on Author: Staff View Profile Authors Info & Claims ACM Communications in Computer AlgebraVolume 54Issue 2June 2020 pp 62–64https://doi.org/10.1145/3427218.3427227Online:29 September 2020Publication History 0citation12DownloadsMetricsTotal Citations0Total Downloads12Last 12 Months6Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Peer review declaration

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review : Double-blind • Conference submission management system : EasyChair System • Number of submissions received: 54 (46 Full papers + 8 Abstracts) • Number of submissions sent for review : 46 • Number of submissions accepted : 24 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100) : 52.17% • Average number of reviews per paper : 2 • Total number of reviewers involved : 26 • Any additional info on review process : REEE holds the belief that the academic research work should be original and published only once. Each of selected paper was anonymously reviewed by two/three professional experts in the related subject area to ensure the final high standard and quality of each accepted submission. Authors have to revise according to reviewers’ suggestions before submitting the final paper. • Contact person for queries : Eden Mamut (dr.eden.mamut@gmail.com) Polytechcnic of Porto, Portugal
SURVIVAL ANALYSIS OF PEDIATRIC WILMS TUMOR BASED ON RISK STRATIFICATION

Objective: This study aims to determine prognostic factors of WT patient in Adam Malik Hospital, Medan. Material &amp; Methods: at Adam Malik Hospital, Medan. Univariate and multivariate Cox regression analyses were performed to determine independent prognostic factors for WT. The primary endpoint of this study were patients’ overall survival (OS) obtained by performing Kaplan-Meier analysis on significant variables. Results: From the univariate Cox regression analysis, gender was found to be the sole significant factor (HR = 0.218, p = 0.005) with males have a higher hazard ratio. The multivariate Cox regression analysis yielded age of diagnosis (HR = 13.860, p = 0.014) and incomplete tumor removals (HR = 0.056, p = 0.008). Kaplan-Meier analysis were performed on three significant variables mentioned before. Only gender yielded a significant Mantel-Cox log-rank score (p = 0.002) with male patients were found to have better survivability (which median survival 476 days compared to females’ 11 days). The survival of the boys was 45.45% while all of the girls did not survive until the cut-off. Conclusion: Three prognostic factors, including children’s gender, age of diagnosis, and tumor removal status, were confirmed to be prognostic factors for the overall survival of children with WT. Further studies covering broader demographic areas were suggested to confirm significant results.&#x0D;
A Novel Trilogy of e-STEM Programs

Abstract In recent years, pre-college educational programs have been introduced to increase the interest and supply of skillful people to work in STEM fields. While the emphasis has previously been primarily focused on the content of project-based learning programs, another factor that needs to be accounted for is the accessibility of the said programs. Unprecedented issues such as the sudden closure of educational facilities, as was experienced during the COVID-19 pandemic, should not hinder the learning opportunities that the students are after. Therefore, the shift from hosting conventional STEM programs to online platforms has become a crucial element in the expansion of STEM education. Delivering engineering-based projects through online STEM programs to school students includes wide expansion of the participating audience — which is not confined by the capacity limit of in-person programs — as well as ease of access. This has value not only on the individual level but also at the social level. Three successful e-STEM (electronic STEM) programs are presented in this paper that are designed to support and enhance students’ learning of engineering concepts while also increasing students’ understanding of real-life applications. This has a close connection to the desire to increase online education in developing countries over recent years. The first program is called Innovate, Design and Engineer an App (IDEA). In this program, the students explore the fundamentals of programming and mobile app development. This provides the students with the foundation of coding, algorithms, and refining their ideas to produce a working mobile phone app that is created to meet a specified challenge. The second program is called Creative Fusion and Innovation (CFI). In this program, the students learned the basics of creating, editing, and analyzing their 3D designs; recognize the importance of creating 3D models in engineering; and understand how 3D printing works as they create their own 3D models. The third program is called Virtual Robotics Games (VRG). In this program, the students learn the fundamentals of designing, building, programming, and testing robots in a virtual environment. Through this program, the students learn the basics of robot design in addition to coding and simulation, which are all necessary tools for aspiring engineers. These programs aim to provide STEM education access to build communities specifically in engineering, which is in high demand. Throughout these programs, the students are able to learn important computer skills and the concepts of the engineering design process. The programs also equip them with the required knowledge and problem-solving skills to tackle challenges. At the end of each program, the students will have created successful designs as solutions to the real-life problems that they were tasked with. In this paper, the details behind the planning, formation and production, and implementation of the three online programs are presented.
On the Pages of Vera Bunina’s Correspondence

Letters (in extracts and in full) by Vera Nikolaevna Muromtseva-Bunina to M.F. Andreeva, N.S. Klestov-Angarsky, P.A. Nilus, A.P. Shpolyansky (Don Aminado) written by her in the period from 1913 to 1935 and deposited in the funds of addressees in the RGALI and Department of manuscripts of the RSL are introduced into scientific circulation. These letters can add to our understanding of the certain episodes in the biography of Vera and Ivan Bunin, tell about the fate of people from their inner circle, adding additional details to the known picture of events and destinies. Moreover, one can note an increased interest in the personality and heritage of Bunina, as well as in her diaries, memoirs and correspondence, articles and publications devoted to her biography appear in the press. The letters contain lively responses and reactions, so that their emotional component is no less significant than the content component, since it characterizes the author’s personality to a greater extent than many other sources.
A Co-Attention Method Based on Generative Adversarial Networks for Multi-view Images

In this paper, we use Deep Convolutional Generative Adversarial Networks (DCGANs) method to generate more images with multiple views to increase our dataset diversity. We use 3D-model different views for training DCGAN to make interpolation between the leftest and rightest random vectors, which means it can generate leftest to rightest images. After producing many of multi-view images, we combine with CNN based modules called co-attention map generator to look for common features of the same class but in different views clothing. By applying the learned generator to all images, the corresponding co-attention maps are obtained. we can fluently apply the proposed method can function well for multi-view objects on different types of clothing classes.
Integrated Hamming Coding Operation to Reversible Data Hiding Scheme for Encrypted Images

Cloud service is a convenient but insecure platform, which might suffer from the potential security risks, such as personal privacy leakage and illegal broadcasting. This paper proposed a reversible data embedding scheme in encrypted images using hamming coding. The sensitive data can be embedded into an encrypted image for privacy preserving. Later, the encrypted image can be restored back to the original one after extracting the hidden data. In comparison with schemes [1]-[5], the proposed scheme provides higher hiding capacity. The experiments show the positive result to confirm its feasibility.
Salt-and-pepper impulse noise removal method considering line structure for monochrome image

The transfer of an image can often lead to image noise, which degrades the quality of the image. There are various filter techniques that can be utilized to reduce or remove the noise in an image. There are two types of filtering methods that use the linear structure and the filtering method without considering the linear structure when denoising the image degraded by salt-and-pepper impulse noise. Filtering methods that consider the linear structure can effectively repair the linear structure in noisy images. However, previous methods that consider line structure have certain disadvantages. To overcome these disadvantages, we propose a new filtering method that considers the line structure for a monochrome image. In the proposed filtering method, two filtering windows with a line structure were considered. In the first filtering window, horizontal and vertical linear structures were considered while a linear structure in 12 directions was considered in the second one. Different linear filtering windows were selected for the proposed filtering method according to the different characteristics of the linear structure. When judging the linear structure, a judgment is made based on the information of two adjacent lines of the central line. The effectiveness of the proposed method was verified experimentally.
The geometry of musical rhythm: what makes a “good” rhythm good? (2nd edn.) by Godfried T. Toussaint, pp. 352, £37.15 (paperback), ISBN 978-0-8153- 7097-0, CRC Press (2020).

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Clarification of Mathematical Sensibilities in Adlerian Psychology

This article presents mathematical concepts the author considers inherent in Adler’s Individual Psychology. Namely, the affinity of concepts shared between calculus and Adlerian psychology derived from the viewpoint and explanations presented by Marina Bluvshtein. First, the author considers the difference between Adler’s law of movement and Newton’s law of motion. Second, the author considers the idea of limit as inherent in the Adlerian law of movement. Third, the mathematical idea of double limit appears through a pursuit of belongingness. Finally, the concept of integration is discussed in connection with early recollections.
Philips Trilogy Evo Ventilator

Biomedical Safety & Standards: April 01, 2022 - Volume 52 - Issue 6 - p 48 doi: 10.1097/01.BMSAS.0000824412.57587.80
Accelerating simulations of convective clouds by reducing the spectral resolution of radiative transfer

&amp;lt;p&amp;gt;The energy transfer by electromagnetic radiation drives atmospheric processes on a wide range of scales: Solar irradiance drives heat and moisture fluxes from the surface and the net radiative cooling of the upper troposphere enables deep convection. However, computing accurate radiative fluxes in atmospheric models is expensive because of the integration over the non-linear absorption spectra of the atmosphere. This integration is typically approximated using so-called correlated k-distribution or similar methods and requires a large number (~10&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;) of spectral quadrature points. In this study, we aim to find the lowest spectral resolution that still allows for accurate cloud field properties in large-eddy simulations of convective clouds. First, we reduce the spectral resolution of the radiation parametrization RRTMGP with an optimization algorithm that repeatedly combines adjacent quadrature points while maintaining the highest possible accuracy on a set of radiative metrics. Reduced sets of quadrature points are then tested further using three distinct sets of large-eddy simulations of convective clouds: deep convection in radiative-convective equilibrium (RCEMIP), shallow convection with precipitation shallow cumulus over the ocean (RICO), and shallow convection over land with a tight connection to the surface energy balance. We find that the spectral resolution of the radiation model, and thereby its computational costs, can be reduced by a factor three to four while retaining statistically similar cloud field properties. While this could reduce the total computational costs of an atmospheric simulation, or allow for a smaller radiation time step, it may also be a crucial step in increasing the feasibility of using 3D radiative transfer in large-eddy simulations.&amp;lt;/p&amp;gt;
OBJECT- ORIENTED SOFTWARE FOR GALOIS FIELD-BASED ENCYPTION

ABSTRACT In this paper, we present objected-oriented software library for operations that are used for the development of cryptosystems for secure mobile communications and image storage. These operations support stream cryptosystems such as the A5 ciphering algorithms used for securing Global System for Mobile (GSM) Communications, the de facto global standard for mobile communications – with over 90% market share, operating in over 219 countries and territories. Our focuses on the design of the Python library for polynomial operations and the ease with which pseudo-random sequences of any length can be generated. Keywords binary, pseudo-random, linear feedback shift register, a python library
Climatology and Spatial Patterns of Cloud Shadows and Irradiance Peaks

&amp;lt;p&amp;gt;Surface irradiance variability is present on many spatio-temporal scales, but most strongly on the scale of minutes to seconds due to low broken clouds. Fast and large fluctuations, or spatial heterogeneity, of irradiance affects solar energy production. In idealised settings, let alone in operational forecasts, the modelling of realistic fields of surface irradiance in the presence of clouds is challenging. It relies on realistic cloud fields, is computationally demanding due to the nature of 3-d radiative transfer models, and ultimately requires observations for validation. Dense spatial observation of irradiance on the scale of cloud shadows or solar energy parks are rare, however. Even 1-d time series are often not available at high enough resolution.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In ongoing work, we provide those missing observations. I will present our gathering and analyses of new and detailed observations of surface irradiance to address knowledge gaps in our physical understanding and provide validation datasets for models. In 2021, we deployed a dense network of custom, low-cost radiometers at two field campaigns, FESSTVaL (Germany) and LIAISE (Spain), to observe spatial patterns of irradiance driven by clouds. The instruments are able to closely match expensive conventional instruments, and combined with skyview imagery, the spatial observations are directly linked to observed clouds. To complement these short term spatial data, long-term statistics of irradiance variability are derived from a 10-year 1 Hz resolution data from the Baseline Surface Radiation Network station in Cabauw, the Netherlands. Distributions and typical spatio-temporal scales of cloud shadows and irradiance peaks can be related to cloud type and meteorological conditions. The gathering and study of these datasets will lead to a better understanding of the physics, help validate models, and ultimately improve our ability to accurately forecast irradiance variability at the small scales.&amp;lt;/p&amp;gt;
A Discrete Elements Modelling Framework for the Parametric Study of Landslides in Low Gravity Environments

&amp;lt;p&amp;gt;Landslides are almost ubiquitous in the Solar System, with rockfall and avalanches that are observed also on other terrestrial bodies, such as the Moon (Bart, 2007; Xiao et al., 2013), Mars (Crosta et al., 2018; Lucchitta, 1987) and Mercury (Malin &amp;amp; Dzurisin, 1978). Landslides and mass movements have been observed also on planetary bodies characterized by extremely low gravity, as for example asteroids&amp;amp;#8217; surfaces of Vesta and Ceres (Otto et al., 2013; Schmidt et al., 2017). The behaviour of mass movements on these bodies is poorly studied due to the difficulties of recreating low-gravity experimental conditions or identifying satisfactory analogues for the involved materials. In fact, the overall dimensions and morphology of the resulting deposits (area, width and length) are often the only features that can be studied and compared between different sites or planetary bodies, due to the limitations in DEMs resolution and suitable imagery.&amp;amp;#160; In particular, plots of the H/L ratio (drop height/runout length) provide a proxy for the average friction coefficient and have been the subject of many comparative investigations.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;With the aim of providing a more consistent picture of the possible outcomes of landslides and other mass movements we hereby describe a fully parametric numerical framework based on ESyS-Particle software&amp;amp;#160; (Abe et al., 2004; Tancredi et al., 2012), which has been specifically designed to explore the outcomes of fragmenting grain flow under different model assumptions. The framework has been designed to leverage modern distributed computing technologies to increase the number of simulations that can be executed in parallel, and to maximize the usage of already-available computing hardware. Preliminary results and the limitations are also presented and discussed.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This framework will support the parametrization of numerical models for the upcoming observations of mass-movements of the future JUICE-JANUS camera observations on Jupiter Icy Moons.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Acknowledgements:&amp;lt;/strong&amp;gt; The activity has been realized under the ASI-INAF contract 2018-25-HH.0.&amp;lt;/p&amp;gt;
Analysis of the Relationship Between Teacher Training Workshop and Assessment Skills of Teachers Teaching at Federal Government Educational Institutions at Kharian Region

The prime objective of the study was to explore the relationship between teacher training workshops and assessment skills of teachers teaching at federal government educational institutions in Kharian region. It was descriptive research with the nature of the survey design. Five points Likert scale instrument was developed by the researcher himself. Data was personally retrieved from participants of the teacher training workshop. There were two research objectives, 1. Explore the extent of the relationship of a teacher training workshop with assessment skills FGEIs’ teachers teaching at Kharian Region. To find out the nature of teacher training workshop and assessment skills of FGEIs’ teacher teaching at Kharian Region. Data was analyzed through SPSS with descriptive as well as inferential statistical tests. Eighty-two percent of respondents debunked that workshop enhanced their ability to select the best and latest assessment strategy for measuring students learning. It is recommended that it may be replicated and monitored with wee intentioned mode.