Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFICIENT AGGREGATE COMPUTATIONS IN LARGE-SCALE DENSE WSN

— This work addresses scenarios where even a small area may contain several tens of nodes, in this context, we addresses the problem obtaining aggregate quantities (e.g., the minimum, maximum or median of the values proposed by all nodes) with a time-complexity that is independent of the number of nodes, or grows very slowly as the number of nodes increases. This is achieved by co-designing the distributed algorithms for obtaining aggregate quantities and the underlying communication system. In this paper, we summarize the results of the research developed around this problem. These results are signiﬁcant because often networks of nodes that take sensor readings are designed to be large scale, dense networks and it is exactly for such scenarios that the proposed distributed algorithms for obtaining aggregate quantities excel. The implementation and test of these distributed algorithms in a hardware platform developed has shown that aggregate quantities in large-scale, dense wireless sensor systems can be obtained ef-ﬁcientlly.
Innovation and the State

Winner of the American Political Science Association's 2008 Don K. Price Award for the Best Book in Science and Technology Politics Finalist for the 2007 ForeWord Magazine Book of the Year Award in the Political Science category. The 1990s brought surprising industrial development in emerging economies around the globe: firms in countries not previously known for their high-technology industries moved to the forefront in new Information Technologies (IT) by using different business models and carving out unique positions in the global IT production networks. In this book Dan Breznitz asks why economies of different countries develop in different ways, and his answer relies on his exhaustive research into the comparative experiences of Israel, Taiwan, and Ireland-states that made different choices to nurture the growth of their IT industries. The role of the state in economic development has changed, Breznitz concludes, but it has by no means disappeared. He offers a new way of thinking about state-led rapid-innovation-based industrial development that takes into account the ways production and innovation are now conducted globally. And he offers specific guidelines to help states make advantageous decisions about research and development, relationships with foreign firms and investors, and other critical issues.
NK Simulation Modeling

This chapter discusses NK simulation modelling, which have been launched and developed primarily by Kauffman from the end of sixties, as a candidate for capturing networks dynamics. Grounded in reference to biological networks, it has aroused a grate and durable interest in economics and management sciences too. This methodology is split into a version focused on studying Boolean networks dynamics, whose trajectories are substantially conditioned by Boolean functions, and a version focused on systems co-evolutionary paths, driven by the search for optimizing its fitness value. Besides the unquestionable value of Kauffman’s work for the theoretical implications on evolutionary biology, in this chapter failures and limitations of both NK modelling versions are discussed. In particular, it is shown that, as applications try to be more realistic, this modelling becomes hardly treatable from a computational point of view. On the other hand, especially the fitness landscape version is very useful to show general aspects of system’s dynamics, and the impossibility to find general optima (excepted for very special and unrealistic cases).
Comparison of apples from organic and integrated farming

Due to food safety reasons, there is an increasing interest towards products of organic farming, At the same time there are relatively few studies collating the effect of different farming technologies.DoAmarante et al., (2008) compared the yield and fruit quality of apple (‘Royal Gala’and ‘Fuji’) from conventional and organic production systems. The organic apples contained less K,Mg andN in fruits, and leaves, and fruits were smaller for both cultivars. Organic fruits of Royal Gala variety had lower acidity, but higher soluble solids. Gonda et al. (2000) compared some fruit quality parameters of apple cultivars in organic production to apples grown in integrated production. Carbonaro & Mattera (2001) found significantly higher polyphenol level and polyphenol oxidase activity in organic peaches and pears as compared to those from conventional production.As reported by Dani et al. (2007), organic grape juices showed statistically higher values for the total polyphenol and resveratrol content as compared to conventional ones. Róth et al., (2007) investigated the postharvest quality of integrated and organically produced apple fruit and found that storage conditions had amuch stronger influence than the production system. Stracke et al., (2009)made a three-year comparison of the polyphenol contents and antioxidant capacities in organically and conventionally produced ‘Golden Delicious’ apple. Their main conclusion was that production method had a smaller impact on the variation in the polyphenol content and antioxidant capacity of apples than the yearly climate. Some scientists are sceptic on the advantages of bio fruits and vegetables (Magkos et al. 2003, Trewavas 2004). In their research work Bourn & Prescott (2002) compared the nutritional value, sensory qualities and safety of organic and conventional foods and came to the conclusion that except with nitrate, there is no strong evidence on compositional differences.
Extreme Drought Events over the Amazon Basin: The Perspective from the Reconstruction of South American Hydroclimate

The Amazon basin has experienced severe drought events for centuries, mainly associated with climate variability connected to tropical North Atlantic and Pacific sea surface temperature anomalous warming. Recently, these events are becoming more frequent, more intense and widespread. Because of the Amazon droughts environmental and socioeconomic impacts, there is an increased demand for understanding the characteristics of such extreme events in the region. In that regard, regional models instead of the general circulation models provide a promising strategy to generate more detailed climate information of extreme events, seeking better representation of physical processes. Due to uneven spatial distribution and gaps found in station data in tropical South America, and the need of more refined climate assessment in those regions, satellite-enhanced regional downscaling for applied studies (SRDAS) is used in the reconstruction of South American hydroclimate, with hourly to monthly outputs from January 1998. Accordingly, this research focuses on the analyses of recent extreme drought events in the years of 2005 and 2010 in the Amazon Basin, using the SRDAS monthly means of near-surface temperature and relative humidity, precipitation and vertically integrated soil moisture fields. Results from this analysis corroborate spatial and temporal patterns found in previous studies on extreme drought events in the region, displaying the distinctive features of the 2005 and 2010 drought events.
Computational simulation of indoor thermal environment in a tropical educational hall with displacement ventilation

Displacement ventilation (DV) has been found to be effective in cooling large indoor spaces, but its effectiveness in providing thermal comfort in tropical buildings requires more detailed analysis to be made. This study examines the thermal environment in a lecture hall cooled via DV using FloEFD, a computational fluid dynamics (CFD) software. A calibrated CFD simulation model was developed to replicate the actual atmospheric conditions of the DV-cooled lecture hall. Results indicate that some parts of the hall received more cooling and air movement than required which would result in local thermal discomfort, especially at the front seating areas. The CFD results were consistent with those of earlier studies which validated the simulation model. The findings can be used to determine the locations which are more prone to steep thermal gradients in addition to reducing thermal discomfort, which include suitable arrangements of occupants in the lecture hall when it is not fully occupied and resetting the diffusers’ supply air temperature.
The role of structural assurance on previous satisfaction, trust and continuance intention: The case of online betting

Purpose – varied accounts exist regarding the role of trust and satisfaction in online continuance intention and contexts within which this occurs. This paper considers the moderating effect of structural assurance on satisfaction and trust and trust and continuance intention in a pure e-service context (online betting). Design/methodology/approach – UK online bettors were surveyed with an instrument developed using validated variables and measurements, including continuance intention, satisfaction, trust (in vendor) and structural assurance. Structural equation modeling with Partial Least Squares (PLS) was used to evaluate the measurement and structural model simultaneously. Findings – structural assurance positively moderates the trust-continuance intention relationship but not the satisfaction-trust relationship. Structural assurance is positively associated with trust. Theoretical implications – the study contributes to research focused on exploring the moderating effects of trust and satisfaction on continuance intention where institution-based mechanisms are perceived to be effective and framed to assure success. Practical implications – an over-reliance on context specific mechanisms is inadequate; strategic approaches to trust must consider contextual and institutional mechanisms interdependently. Originality/Value – the paper addresses the need for research relating to the institutional context within which trust mechanisms operate. This research provides a novel contribution through an exploration of the moderating effects of structural assurance on: trust and continuance intention; and satisfaction and trust (we also measure the direct effect of structural assurance on trust). We are one of the first studies to examine these important concepts in this context. The online betting case allows for the exploration of risk where vendor-specific and contextual risk are both high.
Very Strong Atmospheric Methane Growth in the 4 Years 2014–2017: Implications for the Paris Agreement

Atmospheric methane grew very rapidly in 2014 (12.7 ± 0.5 ppb/year), 2015 (10.1 ± 0.7 ppb/year), 2016 (7.0 ± 0.7 ppb/year), and 2017 (7.7 ± 0.7 ppb/year), at rates not observed since the 1980s. The increase in the methane burden began in 2007, with the mean global mole fraction in remote surface background air rising from about 1,775 ppb in 2006 to 1,850 ppb in 2017. Simultaneously the 13C/12C isotopic ratio (expressed as δ13CCH4) has shifted, now trending negative for more than a decade. The causes of methane's recent mole fraction increase are therefore either a change in the relative proportions (and totals) of emissions from biogenic and thermogenic and pyrogenic sources, especially in the tropics and subtropics, or a decline in the atmospheric sink of methane, or both. Unfortunately, with limited measurement data sets, it is not currently possible to be more definitive. The climate warming impact of the observed methane increase over the past decade, if continued at >5 ppb/year in the coming decades, is sufficient to challenge the Paris Agreement, which requires sharp cuts in the atmospheric methane burden. However, anthropogenic methane emissions are relatively very large and thus offer attractive targets for rapid reduction, which are essential if the Paris Agreement aims are to be attained.
Pediatric Pulmonology

Funding information National Heart, Lung, and Blood Institute, Grant/Award Number: HL‐141849‐01 Abstract Childhood obesity contributes to many diseases, including asthma. There is literature to suggest that asthma developing as a consequence of obesity has a nonallergic or non‐T2 phenotype. In this review, obesity‐related asthma is utilized as a prototype of non‐T2 asthma in children to discuss several nonallergic mechanisms that underlie childhood asthma. Obesity‐related asthma is associated with systemic T helper (Th)1 polarization occurring with monocyte activation. These immune responses are mediated by insulin resistance and dyslipidemia, metabolic abnormalities associated with obesity, that are themselves associated with pulmonary function deficits in obese asthmatics. As in other multifactorial diseases, there is both a genetic and an environmental contribution to pediatric obesity‐related asthma. In addition to genetic susceptibility, differential DNA methylation is associated with non‐T2 immune responses in pediatric obesity‐related asthma. Initial investigations into the biology of non‐T2 immune responses have identified the upregulation of genes in the CDC42 pathway. CDC42 is a RhoGTPase that plays a key role in Th cell physiology, including preferential naïve Th cell differentiation to Th1 cells, and cytokine production and exocytosis. Although these novel pathways are promising findings to direct targeted therapy development for obesity‐related asthma to address the disease burden, there is evidence to suggest that dietary interventions, including diet modification, rather than caloric restriction alone, decrease disease burden. Adoption of a diet rich in micronutrients, including carotenoids and 25‐OH cholecalciferol, a vitamin D metabolite, may be beneficial since these are positively correlated with pulmonary function indices, while being protective against metabolic abnormalities associated with the obese asthma phenotype.
Cortical processing of reference in language revealed by computational models

Human language processing involves not only combining word meanings in accordance with semantic and syntactic constraints, but also figuring out who and what is being referred to. Here we present a first study towards a mechanistic understanding of the neural basis for referential processing. Using both functional MRI and magnetoencephalography (MEG), we identified a consistent increase of activity in a network spanning the anterior and posterior left middle temporal gyrus and the angular gyrus for pronoun processing during naturalistic listening for both English and Chinese speakers. We then adopted a “reverse-engineering” approach to examine the cognitive processes underlying pronoun resolution. We evaluated the neural fit of three symbolic models that each formalizes a different strand of explanation for pronoun resolution in the cognitive and linguistic literature, as well as two deep neural network models with an LSTM or a Transformer architecture. Our results favor the memory-based symbolic model, suggesting a domain-general mechanism of pronoun resolution that resembles memory retrieval.
Turkish Journal of Computer and Mathematics Education (TURCOMAT)

Article History: Received: 10 November 2020; Revised 12 January 2021; Accepted: 27 January 2021; Published online: 5 April 2021 ___________________________________________________________________________ ABSTRACT At the present stage, education is the most important component of the development of a country's economic growth. Often a changing situation requires high professionalism and considerable intellectual effort to make an effective decision. The increase in information flows and the analysis of relevant information generated by the participants in the educational process plays an important role in the process of quality management of the education process. The creation of training systems and the spread of network technology has led to the accumulation of a large amount of data, and this has in turn aroused great interest in the study of Data Mining methods used to analyze the new type of educational data. In this paper, a comparison of methods for analyzing educational data (EDM) and learning analytics (LA) was made, and attention to their peculiarities was paid. As a practical implementation, the behavior of a time series is proposed, which describes the number of studies in 4 scientific fields Azerbaijan for the period from 2014 to 2019, and a short-term forecast is presented.
Van Allen Probes Observation of a Fundamental Poloidal Standing Alfvén Wave Event Related to Giant Pulsations

The Van Allen Probes‐A spacecraft observed an ∼9‐mHz ultralow‐frequency wave on 6 October 2012, at L ∼ 5.7, in the dawn sector, and very near the magnetic equator. The wave had a strong electric field that was initially stronger in the azimuthal component and later in the radial component, exhibited properties of a fundamental standing Alfvén wave, and was associated with giant pulsations observed on the ground near the magnetic field footprint of the spacecraft. The wave was accompanied by oscillations of the flux of energetic protons (jH+). The amplitude of logjH+ oscillations was large at equatorial pitch angles away from 90°, and the energy dependence of the phase and amplitude of the oscillations exhibited features consistent with drift resonance of ∼140‐keV protons with a westward‐propagating wave having an azimuthal wave number of ∼−40. The wave was detected when the spacecraft entered a region of an earthward gradient of the proton phase space density, in support of a theoretical prediction that such a gradient can drive fundamental poloidal waves.
Cross-Selling in a Call Center with a Heterogeneous Customer Population Technical Appendix

This is the technical appendix accompanying the paper, “Cross-Selling in a Call Center with a Heterogeneous Customer Population,” [3]. The organization of this appendix is as follows: we begin in §B with the completion of the proof of Proposition 1, whose sketch was given in §A of [3]. We continue in §C with some preliminaries required for the performance analysis of (S)-(C). Specifically, we provide a sample-path construction that uses a collection of independent rate-1 Poisson processes. We also discuss some strong approximation tools. Finally, in §D we prove the main performance-analysis results which are used in the proof in §A of the main paper [3]. Some auxiliary results are proved in §E.
Title : Feasible Performance Evaluations of Digitally-Controlled Auxiliary Resonant Commutation Snubber-Assisted Three Phase Vo

Security-Constrained Unit Commitment in the Presence of Demand Response Programs and Electric Vehicles Mohsen Ramezanzadeh, Meysam Jafari-Nokandi, Taghi Barforoushi, Javad Saebi 1, 2, 3 Research Department of HV Stations, Department of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran 4 Department of Electrical Engineering, University of Bojnord , Bojnord, Iran.
Title : Feasible Performance Evaluations of Digitally-Controlled Auxiliary Resonant Commutation Snubber-Assisted Three Phase Vo

Nowadays, time series analysis is an important challenge in engineering problems. This paper proposes a Comprehensive Learning Polynomial Autoregressive Model for predicting linear and nonlinear time series. The model is based on the autoregressive model but developed in a polynomial aspect to make it more robust and accurate. The model predicts future values by learning the weights of the weighted sum of the polynomial combination of previous data. The learning process for the hyperparameters and properties of the model in the training phase is performed by the metaheuristic optimization method. Using this model, we can predict nonlinear time series, as well as linear time series. The proposed method was implemented on eight standard stationary and non-stationary large-scale real-world datasets. It outperformed the state-of-the-art methods that use deep learning in seven time series and has better results compared to all other methods in six datasets. Experimental results show the advantage of the model’s accuracy over other compared methods on various prediction tasks based on the root-mean-square error.
FORTH-ICS / TR-206

: This paper considers a specific problem of visual perception of motion, namely the problem of visual detection of independent 3D motion. Most of the existing techniques for solving this problem rely on restrictive assumptions about the environment, the observer's motion, or both. Moreover, they are based on the computation of a dense optical flow field, which amounts to solving the ill-posed correspondence problem. In this work, independent motion detection is formulated as a problem of robust parameter estimation applied to the visual input acquired by a rigidly moving observer. The proposed method automatically selects a planar surface in the scene and the residual planar parallax normal flow field with respect to the motion of this surface is computed at two successive time instants. The two resulting normal flow fields are then combined in a linear model. The parameters of this model are related to the parameters of self-motion (egomotion) and their robust estimation leads to a segmentation of the scene based on 3D motion. The method avoids a complete solution to the correspondence problem by selectively matching subsets of image points and by employing normal flow fields. Experimental results demonstrate the effectiveness of the proposed method in detecting independent motion in scenes with large depth variations and unrestricted observer motion.
Nursing and Health

Against the background of hepatitis prevention and control in Belgium, an important focus is on healthcare and occupational medicine settings. Most Belgian healthcare workers in training are administered a combined hepatitis A/B vaccine by occupational health services. A female healthcare trainee presented herself to her General Practitioner (GP) with general fatigue after receipt of the first two doses (0, 1, 6 months scheme) of her vaccination course. Serum Aspartate Aminotransferase (AST), Alanine Amino-transferase (ALT), Gamma-Glutamyl Transferase (GGT), and Alkaline Phosphatase (ALP) concentrations were severely elevated, while Total Bilirubin (TBIL) and Lactate Dehydroge-nase (LDH) levels both fell within the normal range. The patient was Anti-HAV Immunoglobulin M (IgM) and Immunoglobulin G (IgG) positive, and HBV surface Antigen (HBsAg) and Anti-HBV core antigen (Anti-HBc) negative. Her serum An-ti-HBs concentration mounted to 302 IU/l. Anti-HCV antibody concentrations were below the detection limit. It was originally assumed that the patient was HAV-infected due to hepatitis A vaccine failure. Additional blood examination, performed before the third vaccine dose was administered, revealed the occurrence of Anti-HEV IgM and IgG. Consensus was reached that the initial Anti-HAV IgM and IgG levels were due to vaccination, while a coinciding HEV infection resulted in fatigue, high ALT and AST levels, and Anti-HEV IgM and IgG positivity.