Miracle-dz/UniFAR-FTUs huggingface dataset:
A Coexistence Analysis of Blockchain, SCADA Systems, and OpenADR for Energy Services Provision

The advent of blockchain technology allows the raise of new business models for the electricity market, opening the way also to end-users and letting them offer regulation services to the power grid. Thanks to the characteristic of being distributed, the blockchain technology could be a solution to balancing problems caused by the penetration of renewable sources, implementing a platform for Demand-Response programs delivery. Demand-Response allows consumers to respond to market signals by increasing or reducing their energy consumption, contributing to greater flexibility and stability of the grid and to a more efficient use of infrastructures and energy resources. Currently, Demand-Response is carried out by controlling aggregates of loads, storage or generating units managed by centralized Supervisory Control and Data Acquisition systems such as SCADA. Regulatory changes and the increasing penetration of renewable sources distributed over the territory are turning the whole electricity system into a smart-grid. More recently and with reference to the end-users participation in regulation services, smartness is achieved through the so-called Internet of Things, which can be considered the modern equivalent of SCADA, but with the possibility of to being applied to distributed and diversified assets. For this reason, great efforts have been made to study the interoperability and coexistence between Internet of Things and blockchain, two emerging paradigms that are gaining popularity in the energy world. Limited or no contribution can instead be found in the literature on the integration of SCADA systems and blockchain. Indeed, in order to ensure an easier and faster widespread application of blockchain in the context of power systems, it is interesting to study its possible coexistence with legacy and more established industrial technologies such as OpenADR or SCADA. In Europe, the prevailing technology is the latter one. For this reason, in this paper, the coexistence of blockchain technology with SCADA systems is discussed. In particular, both Hyperledger Fabric blockchain and SCADA systems are considered together to assess the feasibility of aggregation of energy resources for Demand-Response, as well as the relevant measured data. The analysis is carried out by first presenting the two different paradigms: the centralized data acquisition in trusted environments and analysis via OpenADR and SCADA, and the global, distributed and secured ones with the blockchain. Then an architecture for the integration of SCADA and blockchain technology is proposed and the related challenges within the frame of a project for innovative technologies DR programs implementation are outlined.
Analysis Of Telemetry Data From A Tram Vehicle

Modern cities depend on reliable public transportation, necessitating the transport of thousands of commuters every day. A reliable form of mass transit is needed to meet this demand, with bigger cities investing into vast tram and train networks - modern ones often with various stages of automation. Over the last few years, research has been carried out to bring autonomous driving from segregated means of transport into all forms of future vehicles - to save on costs, deliver more reliable service, and prevent incidents.This paper presents an analysis of the reliability and accuracy of global positioning system (GPS) data, measured on a tram line in the city of Bratislava, in comparison with data from the tram vehicle itself, as well as a proof of the concept of detection of critical points on the line and abnormalities in regular service.
Meta-analysis of common wheat physiological response to biotic stresses

Common wheat ( Triticum aestivum L.), like other plants, has evolved a variety of ways to resist pathogens. However, there are some studies that reported different results at the phenotypic and physiological levels. Therefore, this meta-analysis was conducted to reveal common trends, address some controversy, and a source of heterogeneity in 19 wheat phenotypic indices. It was found that the overall response is a reduction in thousand kernel weight (TKW), kernel number, plant biomass, grain yield, relative water content (RWC), soil and plant analysis development (SPAD), and proline, and an increase in ascorbate peroxidase (APX), catalase (CAT), glutathione-S-transferase (GST), hydrogen peroxide (H 2 O 2 ), malondialdehyde (MDA), peroxidase (POX), polyphenol oxidase (PPO), superoxide dismutase (SOD), flavonoids, putrescine (PUT), salicylic acid (SA), and spermidine (SPD). However, the model was not significant for TKW, H 2 O 2 , PUT, SA, and SPD ( p ≥ 0.05). The moderator analysis revealed that the effect of “cultivar” was significant on the kernel number ( p ≤ 0.035) and GST ( p ≤ 0.008), and the effect of “type of biotic stress” was significant on the grain yield ( p ≤ 0.001), APX ( p ≤ 0.0001), CAT ( p ≤ 0.0009), POX ( p ≤ 0.0344), flavonoids ( p ≤ 0.001), and SPAD ( p ≤ 0.0201). For plant biomass, the intercept effect of “cultivar” and “type of biotic stress” was significant ( p ≤ 0.0187). The mixed-effect analysis addressed a source of heterogeneity in studies used in our study. However, to address additional factors affecting these parameters, some consideration for future studies is needed. “wheat diseases”, “wheat pests”, “biotic stress”, “wheat response to biotic stress”, “fungal diseases”, understanding and address some controversies in reports, this used the on model. To investigate the indices of the response to biotic factors, of among studies, and gain new into and biotic stress interaction, we re-synthesized the of
Performance Interpretation of Machine Learning Based Classifiers for e-HealthCare System in Fog Computing Network

Internet of Things (IoT) devices generate a lot of data periodically in the internet era. In order to process that data in real-time, high storage capacity and computational power is required to overcome the limitation of the low processing capabilitiesand storage ability of these devices. Cloud computing solution offers large storage capacity and powerful computational facility but increases the response time due to network latency. To address the issue, the idea of Fog computing was introduced by bringing the computational services closer to the peripheral device of the network. The internet-enabled e-healthcaresystem allows doctors to conduct remote patient monitoring and demands real-time decision-making for critical data. Smart decision-making for classifying the data gathered into high and low-risk data has been considered in some of the existing research. In this context, we designed a framework to analyzethe accuracy of e-healthcare systems by employing machine learning approaches for data classification in fog computing. Also, comparative analysis has been done, highlighting the performance of data classification approaches. Simulation resultsshow that K-Nearest Neighbor and Support Vector Machine classifiers perform better than other classifiers observed and fog performance is significantly high in comparison with cloud.
Constraints on the galaxy ‘main sequence’ at z > 5: the stellar mass of HDF850.1

We present rest-frame optical and near-infrared detections of one of the highest redshift submm-selected galaxies to date, HDF850.1. We do not detect the previously proposed counterpart HDF850.1K in new deep J - and H -band Hubble Space Telescope Wide Field Camera 3 data, placing a strong limit of H − K > 3.8, concluding that the K -band source is spurious. However, we detect 5.8 and 8 μm emission co-located with the submm in deblended images. After modelling and removing the flux contributions from another foreground galaxy, we constrain the stellar mass of HDF850.1 to be (2.5 ± 1)μ −1 × 10 11 M ⊙ for a lensing magnification μ = 1.9 ± 0.3, with a specific star formation rate of 8.5 Gyr −1 , faster than the 1–4 Gyr −1 observed for UV-selected galaxies at this epoch.
Virtual Current Constraint Based Segmented Trajectory Control Strategy for Flux-Weakening Operation of SPMSM Drives

This article proposes a virtual current constraint based segmented trajectory control strategy for surface-mounted permanent-magnet synchronous motor drives, to improve the transient performance under the flux-weakening operation. In the conventional scheme, the operating points (OPs) are arranged on the current constraint circle during the speed-rising process to provide the maximum electromagnetic torque. After the target speed is reached, there still exists an inevitable transition process that moves OP from the current constraint circle to the steady-state operating point (SSOP), leading to the speed overshoot, oscillation, and prolonged settling time. To solve this issue, a variable virtual current constraint is proposed to replace the fixed one. Based on the developed virtual current constraint, a novel operating point trajectory is designed, where SSOP and the target speed can be reached simultaneously without extra transition processes. Furthermore, to generate the virtual current constraint, a dual-variable based constraint method is put forward and applied to the output limitation of the speed controller. Compared to the conventional schemes, the transient performance can be significantly improved, where the speed overshoot and oscillation are eliminated, and the settling time is greatly shortened. Simulations and experiments are carried out to validate the effectiveness of the proposed scheme.
Modelling services continuance intention: evidence from apps stores

PurposeThe objective of this study is to examine the drivers of retail apps satisfaction and continuance intention. An integrative theoretical framework was developed based on the IS success model, E-S-QUAL and expectancy and disconfirmation model to explain retail apps users’ satisfaction and continuance intention.Design/methodology/approachA total of 359 useable data were collected from the targeted Malaysian respondents who had experience in using retail apps services. Data were analysed using the partial least squares technique.FindingsThe results indicate that system quality and e-service quality positively influence retail apps usage satisfaction and have positive direct and indirect effects through satisfaction on continuance intention. The price level has a negative effect on retail apps usage satisfaction. Even though price level has no direct effect on continuance intention to use retail apps, it has an indirect effect on continuance intention through satisfaction.Originality/valueAlthough the success of a marketing channel mainly depends on its continuance usage rather than first-time usage, few studies have paid attention to retail apps services. This study contributes to the advancement of knowledge on retail apps by explaining the roles of system quality, e-service quality and price level on retail apps satisfaction and continuance intention. Interestingly, the findings of multi-group analysis imply that female Gen Y app users are more satisfied than males while such differences do not impact their continuance intention to use the retail apps. The findings also suggested that frequency of using apps has no relevance to retail apps user satisfaction, but highly relevant to their continuance intention to use retail Apps services.
Quantized output feedback resilient control of uncertain systems under hybrid cyber attacks

This article investigates the output feedback resilient control problem of an uncertain system with two quantized signals under hybrid cyber attacks. First, for uncertain systems, the output signal of the system and the output signal of the controller are quantized once by the quantizers before they are passed to the controller and the system respectively, thus affecting the signal with quantization error terms. At the same time, The adverse effects of hybrid cyber attacks, including denial‐of‐service attacks and deception attacks, are also taken into account during the signaling process. In this article, a guaranteed cost resilient controller design method is proposed for the above situation so that the closed‐loop system can be guaranteed to be stable or to meet the given performance index. In addition, by solving the given set of linear matrix inequalities, the design conditions for the relevant parameters required for the resilient controller can be obtained. Finally, the validity of the design method can be verified by simulation.
Chemical solver to compute molecule and grain abundances and non-ideal MHD resistivities in prestellar core-collapse calculations

We develop a detailed chemical network relevant to calculate the conditions that are characteristic of prestellar core collapse. We solve the system of time-dependent differential equations to calculate the equilibrium abundances of molecules and dust grains, with a size distribution given by size-bins for these latter. These abundances are used to compute the different non-ideal magneto-hydrodynamics resistivities (ambipolar, Ohmic and Hall), needed to carry out simulations of protostellar collapse. For the first time in this context, we take into account the evaporation of the grains, the thermal ionisation of potassium, sodium, and hydrogen at high temperature, and the thermionic emission of grains in the chemical network, and we explore the impact of various cosmic ray ionisation rates. All these processes significantly affect the non-ideal magneto-hydrodynamics resistivities, which will modify the dynamics of the collapse. Ambipolar diffusion and Hall effect dominate at low densities, up to n H = 10 12 cm -3 , after which Ohmic diffusion takes over. We find that the time-scale needed to reach chemical equilibrium is always shorter than the typical dynamical (free fall) one. This allows us to build a large, multi-dimensional multi-species equilibrium abundance table over a large temperature, density and ionisation rate ranges. This table, which we make accessible to the community, is used during first and second prestellar core collapse calculations to compute the non-ideal magneto-hydrodynamics resistivities, yielding a consistent dynamical-chemical description of this process.
Standardizing Discharge Practices for Pediatric Urology Standardizing Discharge Practices for Pediatric Urology Outpatient Procedures: A Quality Improvement Project Outpatient Procedures: A Quality Improvement Project

Background : Standard discharge instructions of verbal and written methods are only understood by about 45-50% of caregivers. Video discharge instructions (VDIs) in addition to standard methods of verbal and written instructions can be very effective for caregiver comprehension (CC), retaining discharge education information and improving patient outcomes. Problem : In an outpatient surgery department in a Midwestern Children’s hospital, 100% of the discharge instructions for pediatric urology outpatient procedures are different than the instructions given to caregivers by the surgeon. Methods : The study utilizes a descriptive evaluation of change in how discharge instructions were written and provided. Interventions : Updated discharge handouts and corresponding VDIs were created and replaced outdated, standard methods (verbal and written) of discharge teaching for pediatric urology outpatient surgeries. Data was collected via two surveys, one completed prior to discharge on the day of the procedure and the second completed by a phone call two weeks after the procedure. Results : All videos were highly effective in providing consistent instructions among providers, high levels of CC, and low levels of adverse events after discharge. There were no statistically significant differences between the four videos when comparing consistency of discharge information among providers, CC, and adverse events after discharge. Conclusions : In pediatric patients having urological outpatient procedures, standardized discharge instructions with educational videos are highly effective in providing consistent discharge information, high levels of CC, and preventing adverse events during a two-week period after hospital discharge.
Advanced LIGO status

Advanced LIGO is currently in the final stages of installation and early commissioning. In the design of Advanced LIGO a key goal was the ability to detect gravitational waves from compact object binary inspirals, as these are thought to be the most likely candidates for early detections with ground based interferometers. Special emphasis has been placed on improving the low frequency sensitivity relative to the first generations of LIGO, in addition to improving the high frequency sensitivity by increasing the laser power. The interferometer in Livingston Louisiana has been locked (continuously held within the linear operating range) and noise investigations have begun, and the major installation activities for the interferometer at Hanford, Washington are completed.
State-of-the-art in neurofuzzy systems for semantic textual similarity 1

In this work, we present our research for building novel models that allow for processing information of textual nature effectively and efficiently. We show that both neural networks and fuzzy logic have specific properties that make them suited for particular problems and not others. On the one hand, neural networks are appropriate for recognizing patterns. However, they do not facilitate compliance with the decisions. On the other hand, fuzzy logic systems are interpretable. However, they cannot automatically derive the rules they use to make those decisions. These limitations have been the central driving force behind creating a novel intelligent hybrid system, where two techniques are combined to overcome both limitations at the individual level
Hybrid ANT Based Continuous Cuckoo Search Optimization Algorithm for Vehicle Adhoc Networks

In general vehicular ad-hoc network (VANET) is highly dynamic in nature because of its huge mobility among the vehicles. N number of routing protocols is used in the process of path setting and optimal path finding to transfer the data from the source to the destination. The one among the common reactive routing protocol is Adhoc On-demand routing protocol (AODV) which is used to transfer the packet request to the hop nodes and then the receiver nodes will forward to reply. This process is used to find the path from the source to the destination. But this is not suitable for the network like VANET with huge mobility. So that's why in our research we introduced a Hybrid ANT based Continuous Cuckoo search optimization algorithm (HACC) in AODV routing protocol. Here HACC is applied to all the nodes at the initial stage to achieve better performance. The optimal path is chosen by using this method which leads to reduce the congestion and energy consumption in the network. For the process of simulation, Network Simulator NS2 is used and the results are compared with the earlier works such as AODV and ACO-AODV. The performance is analyzed by calculating the parameters such as network throughput, packet success ratio and end to end delay of the network.
Optical imaging for the Spitzer Survey of Stellar Structure in Galaxies. Data release and notes on interacting galaxies

(Abridged) The Spitzer Survey for Stellar Structure in Galaxies (S4G) and its more recently approved extension will lead to a set of 3.6 and 4.5 micron images for 2829 galaxies, which can be used to study many different aspects of the structure and evolution of local galaxies. We collected and re-processed optical images in five bands from the Sloan Digital Sky Survey for 1657 galaxies, which are publicly released with the publication of this paper. We observed, in only the g-band, an additional 111 S4G galaxies in the northern hemisphere with the 2.5 m Liverpool Telescope, so that optical imaging is released for 1768 galaxies, or for 62% of the S4G sample. We visually checked all images. We noted interactions and close companions in our optical data set and in the S4G sample, confirming them by determining the galaxies' radial velocities and magnitudes in the NASA-IPAC Extragalactic Database. We find that 17% of the S4G galaxies (21% of those brighter than 13.5 mag) have a close companion (within a radius of five times the diameter of the sample galaxy, a recession velocity within 200km/s and not more than 3 mag fainter) and that around 5% of the bright part of the S4G sample show significant morphological evidence of an ongoing interaction. This confirms and further supports previous estimates of these fractions. The over 8000 science images described in this paper, the re-processed Sloan Digital Sky Survey ones, the new Liverpool Telescope images, the set of 29 false-colour pictures, and the catalogue of companion and interacting galaxies, are all publicly released for general use for scientific, illustrative, or public outreach purposes.
Descriptive topology and functional analysis : in honour of Jerzy Kąkol's 60th birthday

1 Some aspects in the Mathematical work of Jerzy Kakol. - 2 Weak barrelledness vs. P-spaces. - 3 On the topology of the sets of the real projections of the zeros of exponential polynomials. - 4 The density character of the space Cp(X). - 5 Compactness and distances to spaces of continuous functions and Frechet spaces. - 6 Two classes of metrizable spaces lc-invariant. - 7 Characteristics of the Mackey topology for abelian topological groups. - 8 Bowen's Entropy for Endomorphisms of Totally Bounded Abelian. - 9 On preserved and unpreserved extreme points Groups. - 10 Cantor sets, Bernoulli shifts and linear dynamics. - 11 Some non-linear geometrical properties of Banach spaces.
Serum levels of interleukin-6 and Vitamin D at the onset of multiple sclerosis and neuromyelitis optica: A pilot study

Background: Interleukin-6 (IL-6) is an important mediator in the acute phase of inflammatory diseases such as neuromyelitis optica (NMO) and multiple sclerosis (MS). The level of IL-6 is higher in cerebrospinal fluid and serum of NMO patients compare to MS. Vitamin D has a regulatory effect on IL-6, so it may have a negative correlation with IL-6 in the acute phase of these diseases. This study was performed to evaluate the serum levels of IL-6 and Vitamin D in NMO and MS patients at the onset of disease to find differences that may help in early diagnosis. Materials and Methods: This case–control study was done on patients with the first episode of optic neuritis, transverse myelitis, and area postrema syndrome who were referred to Kashani MS Center in Isfahan, Iran, between January 2018 and January 2020. The serum levels of Vitamin D and IL-6 were assessed using enzyme-linked immunosorbent assay in blood sample taken at the time of first presentation in patients who had a definitive diagnosis of NMO and MS during subsequent workup. Results: During a 2-year follow-up, definitive diagnosis of NMO was given in 25 cases, and they were compared with 25 cases that were randomly selected from patients with definite MS. Nineteen patients in the NMO group and 21 patients in the MS group were female. The mean age of patients in the NMO and MS groups was 29.64 ± 1.47 and 30.20 ± 1.42, respectively (P = 0.46). The mean of serum level of Vitamin D was 24.88 ± 15.2 in NMO patients and 21.56 ± 18.7 in MS patients without significant difference (P = 0.48). The mean of IL-6 was 30.1 ± 22.62 in the NMO group and 23.35 ± 18.8 in the MS group without significant difference (P = 0.28). The serum levels of Vitamin D were insufficient in both groups. No correlation between Vitamin D and IL-6 levels was found in our study (P > 0.05). Conclusion: Our results showed that serum IL-6 levels were higher at the onset of NMO disease compared with MS. The serum levels of Vitamin D were low in both groups and there was no association between serum levels of Vitamin D and IL-6 in either group. Future studies with large sample size are needed to confirm these findings.