Miracle-dz/UniFAR-FTUs huggingface dataset:
The Rise of “Big Data” in the Field of Cloud Analytics

The huge amount of data burst which occurred with the arrival of economic access to the internet led to the rise of market of cloud computing which stores this data. And obtaining results from these data led to the growth of the “big data” industry which analyses this humongous amount of data and retrieve conclusion using various algorithms. Hadoop as a big data platform certainly uses map-reduce framework to give an analysis report of big data. The term “big data” can be defined as modern technique to store, capture, and manage data which are in the scale of petabytes or larger sized dataset with high-velocity and various structures. To address this massive growth of data or big data requires a huge computing space to ensure fruitful results through processing of data, and cloud computing is that technology that can perform huge-scale and computation which are very complex in nature. Cloud analytics does enable organizations to perform better business intelligence, data warehouse operation, and online analytical processing (OLAP).
Alleviation of adverse effects of salinity in Ber by foliar treatment with antioxidant

This two year experiment were carried out in earthen pots during 2018-20 under cage house, Department of Plant Physiology, S.K. N. College of Agriculture, Jobner. The Ziziphus rotundifolia root stock of ber planted in pots. The recommended doses of FYM, fertilizers and other inputs provided at proper time. These Plants were salt stressed by applying saline irrigation water of EC=Control (Tap water), EC= 8.0 and EC= 16.0 dSm-1 as and when required after establishment in pots. The plants were foliar sprayed by three concentration of Ascobin i.e. 0, 400 and 800ppm. A significant increase were recorded in the proline content, cell membrane injury and hydrogen peroxide content in the plant leaves under increasing level of salinity as compared to control, whereas a significant decrease were noticed in these traits by the foliar spray of Ascobin up to 800ppm concentration. A significant increase were also noticed in ascorbic acid content and Superoxide Dismutase (SOD) Activity in the plant leaves under increasing level of salinity as compared to control with a significant increase also in these parameters by the foliar spray of Ascobin up to 800ppm concentration.
Examining the moderating role of perceived risk and web atmospherics in online luxury purchase intention

PurposeRecently, internet has turned out to be the fastest growing channel for luxury sales. Surprisingly, very few studies have focused on understanding the major drivers behind online luxury goods consumption, particularly in the emerging market context. Therefore, the key objectives of this study are to, first, develop a framework to understand factors affecting consumers' intention to purchase luxury fashion goods online. Second, measure the moderating effect of perceived risk and web atmospherics on the relationship between attitude toward buying luxury fashion goods online and online luxury purchase intention.Design/methodology/approachData were collected through structured questionnaires from a sample of 250 luxury fashion consumers in India. Collected data were analyzed through confirmatory factor analysis (CFA) and Hayes Process macro in SPSS.FindingsStudy findings indicate that perceived usefulness, perceived ease of use, perceived enjoyment and price consciousness have a direct as well as an indirect relationship via attitude on online luxury purchase intention. The results also revealed that web atmospherics moderate the relationship between attitude toward buying luxury fashion goods online and online luxury purchase intention.Originality/valueThis is one of the first studies that explores the moderating role of perceived risk and web atmospherics in the context of luxury market. It will help luxury marketers to develop appropriate strategies for selling luxury goods online in emerging markets like India.
Are bison movements dependent on season and time of day? Investigating movement across two complex grasslands

The American plains bison (Bison bison) is an iconic herbivore on North American grasslands, yet many questions surrounding their basic biology remain unanswered. We analyzed fine-resolution movement data (12 minute) from two of the largest remaining prairie tracts in the Great Plains of North America to address whether bison movement and distance travelled are affected by seasonal or diurnal rhythms. We fit binomial movement and movement distance data to generalized linear mixed models to test whether site, season, or time of day affected movement. Our top models included season-site and season-time of day interactions as fixed effects. Overall, bison were more likely to move during the day than at night regardless of season or site. There was considerable overlap between our sites across most seasons, with the strongest divergence occurring in autumn for movement probability and distance. During the summer, daytime bison movement declined in favor of nighttime movement, potentially in response to high temperatures. Day and nighttime movement distance and probability both were lowest in the winter. That site alone was not a significant predictor of bison movement or movement distance may suggest that their response to seasonal and diurnal rhythms is biologically innate. Therefore, we conclude that season and time of day should be considered in future bison movement analyses. Here, we present the first replicated analysis of fine-resolution, seasonal, and diurnal bison movements across two large complex landscapes using a long-term dataset. As ungulate behavior changes in response to the Anthropocene, filling the knowledge gaps in their basic biology is critical to their continued conservation.
Superhydrophobic silica aerogels reinforced with polyacrylonitrile fibers for adsorbing oil from water and oil mixtures

Silica aerogels are unique solids with extremely high porosity, transparency and low density. They make excellent adsorbing materials due to their high surface area and three-dimensional reticular structures. However, their fine structures and hydrophilic surfaces make them fragile and impractical for adsorbing oil from water and oil mixtures. To improve their mechanical properties, we incorporate small amounts of polyacrylonitrile fiber into the aerogels, prepared at relatively mild temperatures. Electron microscopy images and pore size distributions of the modified aerogels show that the silica aerogel had a co-continuous porous structure. The aerogels were modified to be superhydrophobic, and the surface hydroxyl or alkoxy groups were converted to stable –CH3 groups with a contact angle as high as 169°. The oil adsorption capacity of the silica aerogels was calculated as 9.56 g/g. The sorption and desorption process could be repeated at least 100 times, indicating that silica aerogels are promising oil-absorbing materials.
On the Influence of Sea Surface Temperature Distributions on the Development of Extratropical Cyclones

The sea surface temperature (SST) distribution can modulate the development of extratropical cyclones through sensible and latent heat fluxes. However, the direct and indirect effects of these surface fluxes, and thus the SST, are still not well understood. This study tackles this problem using idealized channel simulations of moist baroclinic development under the influence of surface fluxes. The model is initialized with a zonal wind field resembling the midlatitude jet and a different SST distribution for each experiment, where the absolute SST, the SST gradient, and the meridional position of the SST front are varied. The surface latent heat flux associated with the absolute SST plays a key role in enhancing the moist baroclinic development, while the sensible heat fluxes associated with the SST gradient play a minor role that can be detrimental for the development of the cyclone. The additional moisture provided by the latent heat fluxes originates from about 1000 km ahead of the cyclone a day prior to the time of the most rapid deepening. When the SST in this region is higher than 16°C, the additional latent heat is conducive for explosive cyclone development. For SSTs above 20°C, the cyclones feature characteristics of hybrid cyclones with latent heat release close to their core, maintaining their intensity for a longer period due to continuous and extensive moisture supply from the surface. A high absolute SST with a weak SST gradient, however, can lead to a delay of the deepening stage, because of unorganized convection at early stages reducing environmental baroclinicity.
Limit cycles and global dynamic of planar cubic semi-quasi-homogeneous systems

Denote by CH, CSH, CQH, and CSQH the planar cubic homogeneous, cubic semi-homogeneous, cubic quasi-homogeneous and cubic semi-quasi-homogeneous differential systems, respectively. The problems on limit cycles and global dynamics of these systems have been solved for CH, and partially for CSH. This paper studies the same problems for CQH and CSQH. We prove that CQH have no limit cycles and CSQH can have at most one limit cycle with the limit cycle realizable. Moreover, we classify all the global phase portraits of CSQH.
Web Globalization and Its Possible Consequences on Usage of Different Creative Accounting Techniques

Research background: The paper is oriented on influence analysis of globalization on usage of different techniques of creative accounting and its development. The concept of creativity and accounting in together has logical background. Creativity is generally perceived as a positive thing. It is a certain creativity and originality created by the individual. Among these techniques, the paper deals with earnings management and what differs it from fraudulent behavior. The first part deals with definition of earnings management and comparison of different approaches. The second part outlines the major differences and boarders between earnings management and fraud from theoretical point of view with the usage of multiple views from different authors. Third part deals with different forms of earnings management. The last part discusses motives behind the usage of earnings management by managers and impact of globalization on this decision making. Purpose of the article: To describe motives behind earnings management usage and potential new directions of these motives under the conditions of continuous internalization and globalization. Methods: The paper is built on the methods of formal logic. The most important one for the purpose of this article is descriptive method. Among others, there are analysis, graphic method, comparison and synthesis. Findings & Value added: Comprehensive overview of the earnings management definition, its forms and motives behind its usage.
The link between talent management, organizational commitment and turnover intention: A moderated mediation model

Article history: Received: December 14, 2020 Received in revised format: January 29 2021 Accepted: March 9, 2021 Available online: March 9, 2021 It has been suggested that talent management (TM) has a direct and significant relationship with a number of employee outcomes. This is while the number of studies examining the process of TM leading to these outcomes are limited. Therefore, the main purpose of this study is to present a new model for analyzing processes of TM and its linkage with several employee and organizational outcomes that are organizational commitment and turnover intentions. Additionally, the present paper involves a mediating factor (P-O fit) alongside a moderating variable that is, Organizational Culture. A sample of 510 employees were selected from different banks located in Amman, Jordan. Mediation and moderation models were tested through structural equation modeling (SEM). The findings, being in consensus with previous studies, showed that TM has a linkage with both TI and Organizational Commitment. Mediating effect of P-O fit was shown with both aforementioned variables. In addition, the moderation effect of organizational culture on the relationship between TM and TI was found. The study contributes to the literature of the topic by providing a fit model to explain the linkage of TM and a number of organizational and employee outcomes. Bank managers can benefit by being aware and implying TM practices within their firms to further develop company advancements and attending to their employees based on new HRM trends. © 2021 by the authors; licensee Growing Science, Canada
Integrating superconducting van der Waals materials on paper substrates†

Paper has the potential to dramatically reduce the cost of electronic components. In fact, paper is 10 000 times cheaper than crystalline silicon, motivating the research to integrate electronic materials on paper substrates. Among the different electronic materials, van der Waals materials are attracting the interest of the scientific community working on paper-based electronics because of the combination of high electrical performance and mechanical flexibility. Up to now, different methods have been developed to pattern conducting, semiconducting and insulating van der Waals materials on paper but the integration of superconductors remains elusive. Here, the deposition of NbSe2, an illustrative van der Waals superconductor, on standard copy paper is demonstrated. The deposited NbSe2 films on paper display superconducting properties (e.g. observation of Meissner effect and resistance drop to zero-resistance state when cooled down below its critical temperature) similar to those of bulk NbSe2.
Cloud-Based Diabetes Decision Support System Using Machine Learning Fusion

: Diabetes mellitus, generally known as diabetes, is one of the most common diseases worldwide. It is a metabolic disease characterized by insulin deficiency, or glucose (blood sugar) levels that exceed 200 mg/dL (11.1 ml/L) for prolonged periods, and may lead to death if left uncontrolled by medication or insulin injections. Diabetes is categorized into two main types—type 1 and type 2—both of which feature glucose levels above “normal,” defined as 140 mg/dL. Diabetes is triggered by malfunction of the pancreas, which releases insulin, a natural hormone responsible for controlling glucose levels in blood cells. Diagnosis and comprehensive analysis of this potentially fatal disease necessitate application of techniques with minimal rates of error. The primary purpose of this research study is to assess the potential role of machine learning in predicting a person’s risk of developing diabetes. research the of various machine algorithms, such as naïve Bayes, decision trees, and artificial neural networks, for early diagnosis of diabetes. However, to achieve maximum accuracy and minimal error in diagnostic predictions, remains an immense for further research and to improve the machine-learning tools and techniques available to healthcare professionals. Therefore, in this paper, we propose a novel cloud-based machine-learning fusion technique involving synthesis of three machine algorithms and use of fuzzy systems for collective generation of highly accurate final decisions regarding early diagnosis of diabetes. data pre-processing activities—data cleaning and normalization—and is followed by data splitting for classification. In our study, we divided the dataset for training and testing at a ratio of 70:30 to optimize classification techniques and yield more accurate results in the validation data. After pre-processing, we executed the classification process, which involved training of the three classification techniques (ANN, NB, and DT) followed by validation on our selected dataset. We optimized these techniques until maximum accuracy was achieved. Finally, using a fuzzy system, we synthesized the three prediction results from the three classification techniques to generate the final prediction output. In our study, our proposed system achieved an accuracy rate of 95.2%, outperforming previously applied machine-learning techniques for diabetes diagnosis.
The impact of an End-PJ-Paralysis quality improvement intervention in post-acute care: an interrupted time series analysis

The “End-PJ-Paralysis” social movement has promoted global recognition of the problem of low activity levels for hospitalised older adults, but whether aligned quality improvement programmes impact length of stay or adverse events is unknown. To determine the impact of a multicomponent intervention, which included data displays, exercise groups, a clothing repository, widespread promotion, and targeted education for staff and patients to promote dressing and activity, we conducted an interrupted time series analysis. Although there was no clear impact upon length of stay or fall or pressure rates after 12 months, this is an important finding for other centres implementing their own “End-PJ-Paralysis” interventions as it highlights that such programmes are not associated with increased falls, as commonly feared.
Potential of carbonized rice husk as a filter media rain garden to decrease the turbidity of water and Coli bacteria in the Stormwater Runoff. a review of current research

The rapid development of physical infrastructure and infrastructure activities in several metropolitans in Indonesia, followed by industrial, transportation, construction, trade, and office canters, have had an impact on the environment. Such facilities cause a reduction in a green open space. The existence of high rainfall causes uncontrolled stormwater run-off. As a result of the massive floods that frequently happen. The problem that often found that stormwater run-off tends to result in high turbidity and pollution of Coli bacteria, so processing of the treatment is necessary. One of the methods of maintaining the quality of water can use rain gardens that can be made in a run-off water source, by using carbonized rice husk filters. This research method was carried out with the technique of literature review, such as national and international journals, books, websites, and other documents related to the topic of study. Based on the results of the study, carbonized rice husks were able to decrease turbidity and Coli bacteria with decent removal efficiency approaching 90%. The carbonized rice husk becomes an alternative for the media filter rain garden to decrease the value of turbidity and the number of Coli bacteria, as it has large pores and has a content of high Silica (Si).
Elevation-dependent compensation effects in snowmelt in the Rhine River Basin upstream gauge Basel

In snow-dominated river basins, floods often occur during early summer, when snowmelt-induced runoff superimposes with rainfall-induced runoff. An earlier onset of seasonal snowmelt as a consequence of a warming climate is often expected to shift snowmelt contribution to river runoff and potential flooding to an earlier date. Against this background, we assess the impact of rising temperatures on seasonal snowpacks and quantify changes in timing, magnitude and elevation of snowmelt. We analyse in situ snow measurements, conduct snow simulations and examine changes in river runoff at key gauging stations. With regard to snowmelt, we detect a threefold effect of rising temperatures: snowmelt becomes weaker, occurs earlier and forms at higher elevations. Due to the wide range of elevations in the catchment, snowmelt does not occur simultaneously at all elevations. Results indicate that elevation bands melt together in blocks. We hypothesise that in a warmer world with similar sequences of weather conditions, snowmelt is moved upward to higher elevation. The movement upward the elevation range makes snowmelt in individual elevation bands occur earlier, although the timing of the snowmelt-induced runoff stays the same. Meltwater from higher elevations, at least partly, replaces meltwater from elevations below.
US version of water-wise cities: Low impact development

The population of the United States has continually increased and has become vastly more urbanized. The US population rose from 5.3 million people in 1800 to 76 million in 1900, to over 248 million in 2000, and in 2019 it was approximately 329 million people. Over this time period the population has also shifted from primarily rural to primarily urban. In 1800 approximately 5% of Americans lived in urban areas (defined as populations over 2500 for that time) but, due in large part to industrialization, that value increased to approximately 35% in 1900 and now, in 2019, approximately 80% of Americans live in urban areas, which is currently defined as having a population of 50,000 or more. With the increase in population and urbanization have come added stresses on the environment. These stresses include large amounts of wastewater generated from relatively small land areas, increased stormwater runoff volumes due to an increase in impervious land surfaces, and a degradation in the water quality of stormwater runoff. The water quality of stormwater runoff is degraded due to human activities such as widespread automobile use, erection of buildings, and increased fertilizer use. Automobiles generate pollution through tire wear, rusting
A Novel Weight Generator in Real-Time Processing Architecture of DBF-SAR

Digital beamforming (DBF) with scan-on-receive (SCORE) technique in elevation is a powerful technique that enables a spaceborne synthetic aperture radar (SAR) to achieve high-resolution wide swath (HRWS) imaging. In the spaceborne DBF-SAR system, sampling signals from each channel are weighted by weights generated by a digital signal processing system in real-time. However, the contradiction between the shortage of spaceborne hardware resources and resource demand of the multichannel real-time signal processing increases the difficulty of system design. In order to solve this problem, a novel weight generator and an improved intermediate frequency (IF) DBF real-time processing architecture are proposed in this article. By taking advantage of the special properties of the SCORE algorithm, the proposed weight generator calculates weights using a linear polynomial algorithm. The simulation result shows that a low-order approximation can achieve high performance. The proposed generator can correct multichannel amplitude and phase error at a low cost on hardware resources. The effectiveness of the proposed method is verified by experiments with a raw data processing instance of an X-band 16 channels DBF-SAR.
Alternative solvent systems for polycaprolactone nanowebs via electrospinning

In this study, polycaprolactone (PCL) was dissolved in 9:1 chloroform:ethanol mixture at 14%, 16%, 18% and 20% w/v concentrations. Then, acetic acid and formic acid were added at pre-determined amounts to 18% PCL/chloroform:ethanol solution system separately. Before production, viscosity and conductivity of prepared solutions were measured. Electrospinning technique was used for fabrication of fibrous webs. Morphology of produced webs was observed under a scanning electron microscope while fiber diameter measurements and pore analysis were realized via Image J Software System. The effect of polymer concentration and acidic solvent additions to mostly used chloroform solvent was investigated based on fiber morphology. Results indicate that the increase in polymer concentration increases the fiber diameter which leads to larger average pore area. Electrospinning of PCL with 16% to 20% polymer concentrations in chloroform:ethanol solvent system results in micro fibers. On the other hand, fiber diameter reduced from microscales to nanoscales with the addition of either acetic or formic acid. Fibers produced from PCL/chloroform:ethanol solution at 18% polymer concentration have 2.22 µm average fiber diameter, whereas 158 nm and 256 nm diameter fibers were successfully produced without a bead-like structure by 120 µl of acetic and formic acid additions to the same solution system.