Miracle-dz/UniFAR-FTUs huggingface dataset:
Reduction of power system magnetic field by configuration twist

The low-frequency magnetic field in the vicinity of helical three-conductor arrangements carrying symmetric three-phase alternating current is studied by analytical numerical and experimental methods. New approximate and simple closed-form expressions are derived for all three components of the three-dimensional field vector as function of current, distance, pitch and conductor spacing. Comparison is made with numerical results. Measurements on an experimental helical arrangement have also been performed for verification.
Application and Prospect of Internet of Things in Intelligent Traffic Management

This paper discusses the role which Internet of Things technology plays in enhancing the level of intelligent road traffic management, and its benefits by analyzing the development of intelligent traffic management system and its existing problems in China. This paper expounds the current-stage application of Internet of Things technology in road traffic management fields, such as motor vehicle and driver management, traffic signal control, and electronic toll collection. Next it looks forward to the future application of Internet of Things technology in road traffic management fields, such as traffic command center, management of traffic law enforcement, traffic accident prevention, and management of traffic equipment and facilities. The paper also makes suggestions on facilitating the application of Internet of Things in traffic management, in terms of strengthening organization and guidance, research on critical technology, demonstrative application, and standards formulation.
PCGAN: Prediction-Compensation Generative Adversarial Network for Meshes

Unlike natural images, the topology similarity among meshes can hardly be handled with classical deep learning because of their irregular structures. Parameterization provides a way to represent meshes in the form of geometry and normal images, which reflects the correlation between neighboring sample locations. Generative Adversarial Networks (GANs) can efficiently generate images without explicitly computing probability densities of the underlying distribution. However, existing GANs such as Coupled Generative Adversarial Network (CoGAN) generally have two drawbacks: (1) Inability to process unnatural images. (2) Insufficient exploration of the inherent relation between normal and the corresponding geometry image. To address these issues, this paper proposes an efficient method named Prediction-Compensation Generative Adversarial Network (PCGAN) to learn a joint distribution of both geometry and normal images, which aims for generating meshes with two GANs. The consistency of two GANs for the geometry and the normal is guaranteed by utilizing a sequence of prediction-compensation pairs. The sequence can estimate the normal image from the geometry image and compensate the geometry from normal progressively. Particularly, the prediction has a closed-form expression, which provides high estimation accuracy and reduces training complexity. Extensive experimental results on facial mesh generation indicate that our PCGAN outperforms CoGAN and other architectures in retaining the geometry of the faces and in generating realistic face meshes with rich facial attributes such as facial expression and morphology. Moreover, quantitative evaluations demonstrate our superior performance compared with the methods mentioned above.
Effectiveness of Remote Simulation amongst EMS Professionals in Pune, India

Introduction: The Sars CoV2 virus has spread havoc claiming millions of lives in its wake and the world health Organization (WHO) had declared it as a pandemic in 2020. Though medical education and clinical training has always laid more emphasis on face – to- face teaching and physical skill based hands-on training, lately various e-learning tools have become popular as teaching pedagogy due to the restriction of social distancing in the current COVID scenario. Simulation based learning plays a very important role in adding to non-technical skills and management of patient as a whole. Simulation through remote mode has gained major precedence in these last few years especially since the onset of COVID. The present study seeks to know the effectiveness of a single remote simulation session amongst Emergency Medical Services (EMS) professionals Objective: To assess the effectiveness of remote simulation in the management of cardiac arrest amongst EMS professionals. Study Design: Cross Sectional Descriptive Study. Place of Study: Symbiosis Centre for Health Skills (SCHS), Pune India in September 2021. Materials and Methods: The present study was conducted in September 2021, amongst 80 Emergency Medical Professionals (EMPs) from Pune, India. American Heart Association (AHA) – Pre-course Self-Assessment Questionnaire for the year 2020 was utilized for the study to assess ECG interpretation competency among EMS Professionals before and after a remote simulation session. Results and Discussion: Time is of essence in a cardiac arrest scenario as any delay can cause exponential rise in the mortality rate. The COVID 19 era has severely restricted bedside learning and on site simulation. A healthy alternative has emerged in the form of remote simulation, which can ensure continuity of learning along with mitigation of the disease spread. Conclusion: The findings of the study are encouraging and should be followed up with larger sample size and multiple remote simulation sessions to gain further insight into the effectiveness of this unique tool. The COVID 19 era has severely restricted bedside learning and on site simulation. A healthy alternative has emerged in the form of remote simulation, which can ensure continuity of learning along with mitigation of the disease spread.
Modified rectangular resonators based multi‐frequency narrow‐band RFID reader antenna

In this article, a chipless RFID reader antenna based on a modified rectangular‐resonator is presented. The reader antenna is fabricated and measured to validate multiple narrowband resonance behavior. The measurement results show that the reader antenna can detect 11‐bit multi‐frequency coded chipless tag and depict gains of 4.7 and 5.2 dBi at 0.58 and 2.4 GHz, respectively. The cubic interpolation approach as a signal processing technique is applied at the reader end to eliminate the unnecessary drops at the measurement. Further study of Chu and Mclean's fundamental limit demonstrates that the physical dimensions of the proposed antenna and the radiation characteristics fulfilling the limitations. The multiple narrow‐band responses of the reader antenna can be suitable to detect multi‐bit tags which are of high demand because a multibit tag can be used for multiple frequency applications for hassle‐free wireless environment, viz. tracking, retailing, identification, and healthcare utilities.
BOTANICAL STUDIES ON SOME GENERA OF MIMOSACEAE AND CAESALPINIACEAE III- Morphological and anatomical features of sapling

Morphological characters and anatomical investigations were used in this study as a taxonomic evidences to evaluate the relationships between 4 species representing 3 genera of Mimosaceae and Caesalpiniaceae. These species were; Leucaena leucocephala (Lam.) De Wit. , Bauhinia variegata L. , Bauhinia alba BuchHam and Delonix regia Bojor ex Hook. Morphological results indicated that, both species of genus Bauhinia were exceeded in most studied traits of the axis (stem and root) than other genera, where D. regia exhibited increment for most leaf characteristics (except leaves no.) over the other species. L. leucocephala showed remote values for most morphological traits than other genera. Anatomical studies confirmed differences between the 4 species in most studied traits. Increase in plant height was mainly related to number of cells more than to lengths. Stem diameter increasing was mainly attributed to the increasing in secondary xylem thickness more than other tissues.
Factors Associated with Pre-Vaccination SARS-CoV-2 Infection Risk among Hospital Nurses Facing COVID-19 Outbreak

The objective of this work was to evaluate the magnitude of COVID-19 spread and the related risk factors among hospital nurses employed in a COVID hospital in Rome, before the beginning of the vaccination programmes commenced in 2021. Participants periodically underwent (every 15–30 days) nasopharyngeal swab and/or blood sample for SARS-CoV-2 IgG examination. From 1 March 2020 to 31 December 2020, we found 162 cases of COVID-19 infection (n = 143 nasopharyngeal swab and n = 19 IgG-positive) in a total of 918 hospital nurses (17.6%). Most SARS-CoV-2-infected hospital nurses were night shift workers (NSWs), smokers, with higher BMI and lower mean age than that of individuals who tested negative. After adjusting for covariates, age (OR = 0.923, 95% C.I. 0.895–0.952), night shift work (OR = 2.056, 95% C.I. 1.320–2.300), smoking status (OR = 1.603, 95% C.I. 1.080–2.378) and working in high-risk settings (OR = 1.607, 95% C.I. 1.036–2.593) were significantly associated with SARS-CoV-2 hospital infection, whereas BMI was not significantly related. In conclusion, we found a high prevalence of SARS-CoV-2 infection among hospital nurses at a Rome COVID hospital in the pre-vaccination period. Smoking, young age, night shift work and high-risk hospital settings are relevant risk factors for hospital SARS-CoV-2 infection; therefore, a close health surveillance should be necessary among hospital nurses exposed to SARS-CoV-2.
A new synchronous reluctance generator AC/DC buck rectifier as a controllable power supply

This paper sets forth the use of a three-phase synchronous reluctance generator feeding a pulse-width modulation (PWM) based AC/DC buck rectifier to produce controllable AC and/or DC power. This is made possible by controlling both the modulation magnitude and phase angle of the rectifier. This generating scheme is targeted for application requirements for equipment on airplanes, ships or ground vehicles with high speed turbines to which the synchronous reluctance generator may be directly connected. Steady-state and transient performance of this system is comprehensively investigated. <<ETX>>
Technology, culture and craft: job tasks and quality realities

Labour process writers tend to view the use of non-discretionary job tasks in Japanese style manufacturing as a form of de-skilling. The authors argue that the limits of human accuracy and the statistical realities of sequential production make non-discretionary job tasks a necessary condition for high quality engineered products. Cultural and scale barriers to achieving this condition are identified and analysed.
Prospects and Constraints of Sustainable Marketing Mix Development for Poland’s High-Energy Consumer Goods

The research examined awareness, prospects and constraints of sustainable marketing mix development (SMD) from the perspective of Poland’s high-energy consumer goods (HECG), i.e., confectionery products, as an example of the Polish food industry. A questionnaire survey was designed for this purpose. The purpose of the survey questions was to evaluate selected areas of SMD; thus, a reference value ratio was proposed. An original approach to pairwise comparisons technique was applied to rank the value of each survey to provide an intensity measure for each examined area, i.e., a non-heuristic approach with verifiable accuracy and reliability. It was found that a high level of awareness among respondents exists in relation to SMD. Considering all aspects of constraints intensity for SMD, it could be concluded that SMD for Poland’s HECG is at a quite high level. However, considering all aspects of prospects intensity for SMD, this evaluation supported the conclusion that its level for Poland’s HECG is moderate only. It was also found that prices of sustainable products constitute the highest ranked determinant of SMD. Considering these research findings regarding awareness, limitations and perspectives for the development of a sustainable marketing mix in the enterprises operating in Poland’s HECG sector, it can be concluded that there are many more problems and difficulties in implementing sustainable marketing mix programs than there are prospects for the development of this concept.
Antifungal activity of essential oil-encapsulated lipid nanoemulsions formulations against leaf spot disease on tomato caused by Alternaria alternata

ABSTRACT This study aimed to find out the optimal formulation of essential oil-encapsulated lipid nanoemulsions (EO-LNs) by comparing antifungal activity against leaf spot disease caused by Alternaria alternata on tomato plants of 10 different EO-LNs, followed by their binary and ternary combinations. Firstly, 10 EO-LNs and their combined formulations were prepared and their in-vitro antifungal activity was evaluated using petri dish bioassay. Next, ex-vitro disease-prevention and disease-treatment experiments of the optimal EO-LNs formulation were carried out in the greenhouse. The results indicated that there was a significant difference in in-vitro antifungal activity against Alternaria alternata among 10 EO-LNs and their combined formulations. Overall, NaChiGarCin (the ternary combination of chili oil-encapsulated LNs, garlic oil-encapsulated LNs, cinnamon oil-encapsulated LNs) exhibited the highest in-vitro antifungal activity. Under ex-vitro condition, NaChiGarCin at an EO-concentration of 200 ppm showed the highest disease-preventing and treating effectiveness (above 80%) and showed no negative effect on the plant growth. Supplemental data for this article is available online at http://dx.doi. org/10.1080/03235408.2021. 2015887 .
Effects of gate bias on hot-carrier reliability in drain extended metal-oxide-semiconductor transistors

The effect of gate voltage on hot-carrier induced degradation in drain extended high-voltage metal-oxide-semiconductor (MOS) transistors with thick gate oxide (100nm) structure is presented. Different from the conventional low-voltage n-type MOS transistors, under a fixed drain voltage, devices stressed at a higher Vgs result in a greater maximum transconductance and on-resistance degradation. Under higher Vgs, the increase in channel hot-carrier injection is responsible for the greater Gm,max degradation. On the other hand, Kirk effect induced increase in drain avalanche hot carriers near the drain as well as higher electric field in the channel is responsible for the greater Ron degradation.
Clinical characteristics of patients with polyarteritis nodosa based on a nationwide database in Japan.

OBJECTIVES This study aimed to clarify the epidemiological and clinical features and treatment of patients with polyarteritis nodosa (PAN) in Japan. METHODS We used the database of the Ministry of Health, Labour and Welfare (MHLW) of Japan in 2013 and 2014. We analysed 121 patients who were antineutrophil cytoplasmic antibodies negative among the patients certified as PAN according to the MHLW diagnostic criteria. RESULTS The analysis included 60 males and 61 females, with a mean age of 52.9 ± 21.0 years. As a general manifestation, fever was observed in 53.7%. Regarding organ involvement, skin manifestations (82.6%), joint and muscle manifestations (75.2%), and neuropsychiatric manifestations (50.4%) were common. Male patients had a higher proportion of mononeuritis multiplex involving motor neuropathy than female patients. Elderly patients had a higher proportion of general and respiratory manifestations. Glucocorticoids were used for treatment in all patients, and 19.0% underwent methylprednisolone pulse. Concomitant immunosuppressants were used in 25.6%, one-third of whom received cyclophosphamide. Methylprednisolone pulse and cyclophosphamide were mostly used in patients with life-threatening organ involvement. CONCLUSIONS PAN developed in middle-aged people and led to numerous clinical manifestations. The common manifestations varied with age, and treatment was determined based on the type of organ involvement and disease severity.
Effect of Differently Matured Compost Produced from Willow (Salix viminalis L.) on Growth and Development of Lettuce (Lactuca sativa L.)

Soil amendments from peats, brown coals and composts produced from segregated biodegradable waste or biomass from fallow land can increase soil fertility and improve soil productivity. The aim of the study was to determine the possibility of using willow (Salix viminalis L.) biomass composts as a substrate component in horticulture. The objects of the research were composts produced from willow chips (A), willow mixed with hay (B) and willow mixed with hay and mineral nitrogen (Nmin) fertilizer (C). Composting was carried out in a pile under aerobic conditions. In order to determine the properties and fertilizing value of the composts, basic chemical parameters were analyzed (pH; total contents of C, N and P), and a pot experiment was established to analyze germination and growth of lettuce (Lactuca sativa L.). Changes in pH, total nitrogen content (TN), phosphorus (TP) and a decrease in TOC were observed in the investigated samples. The results of the experiment showed that the highest yield was obtained from the pots with the mixture of willow, hay and Nmin. Matured composts significantly stimulated the germination and growth of the test plants. It can be concluded that the addition of hay and Nmin significantly increased the fertilizing value of the investigated composts.
Design of a feedback-feedforward steering controller for accurate path tracking and stability at the limits of handling

This paper presents a feedback-feedforward steering controller that simultaneously maintains vehicle stability at the limits of handling while minimising lateral path tracking deviation. The design begins by considering the performance of a baseline controller with a lookahead feedback scheme and a feedforward algorithm based on a nonlinear vehicle handling diagram. While this initial design exhibits desirable stability properties at the limits of handling, the steady-state path deviation increases significantly at highway speeds. Results from both linear and nonlinear analyses indicate that lateral path tracking deviations are minimised when vehicle sideslip is held tangent to the desired path at all times. Analytical results show that directly incorporating this sideslip tangency condition into the steering feedback dramatically improves lateral path tracking, but at the expense of poor closed-loop stability margins. However, incorporating the desired sideslip behaviour into the feedforward loop creates a robust steering controller capable of accurate path tracking and oversteer correction at the physical limits of tyre friction. Experimental data collected from an Audi TTS test vehicle driving at the handling limits on a full length race circuit demonstrates the improved performance of the final controller design.
Preliminary Experimental Results of IGFC Operation Using Hardware Simulation

A newly developed Integrated Gasification Fuel Cell (IGFC) hybrid system concept has been tested using the Hybrid Performance (Hyper) project hardware-based simulation facility at the U.S. Department of Energy, National Energy Technology Laboratory. The cathode-loop hardware facility, previously connected to the real-time fuel cell model, was expanded by the inclusion of a real-time model of a gasifier of solid fuels, in this case biomass fuel. The fuel cell is operated at the compressor delivery pressure, and it is fuelled by an updraft atmospheric gasifier, through the syngas conditioning train for tar removal and syngas compression. The system was brought to steady-state; then, several perturbations in open loop (variable speed) and closed loop (constant speed) were performed in order to characterize the IGFC behavior. Experiments have shown the feasibility of relatively fast control of the plant as well as a possible mitigation strategy to reduce the thermal stress on the fuel cell as a consequence of load variation and change in gasifier operating conditions. Results also provided an insight into the different features of variable vs constant speed operation of the gas turbine section.Copyright © 2011 by ASME
AUTOMATED ELECTRICAL ENERGY ANALYSIS FOR DOMESTIC CONSUMERS BASED ON SMART METERS

The European Union plans a roll out of smart meters to at least 80 % of all households. Consumers should benefit through more frequent billing periods and they should be able to regulate their energy consumption through the total power consumption provided by smart meters. Due to the large number and the individual usage of electrical devices, consumers have to spend a lot of time and effort to distinguish between the influences regarding the total power consumption of each electric device. In an average Austrian household there are 9 major electrical devices that have a total share of 72 % of the total power consumption. To split up the bigger part of the total power consumption additional measurement equipment is necessary. In order to benefit from synergies without causing high costs for the purchase and installation of measuring devices (with high investment and operating costs) and without neglecting ease of operation it is proposed that a mini PC, which gathers and analyses the data from smart meters, has to apply the method of non-intrusive load monitoring and provide consumers with valuable additional information about their power consumption of selected electrical devices.
A Novel Gesture-Based Control System for Fluorescence Volumetric Data in Virtual Reality

With the development of light microscopy, it is becoming increasingly easy to obtain detailed multicolor fluorescence volumetric data. The need for their appropriate visualization has become an integral part of fluorescence imaging. Virtual reality (VR) technology provides a new way of visualizing multidimensional image data or models so that the entire 3D structure can be intuitively observed, together with different object features or details on or within the object. With the need for imaging advanced volumetric data, demands for the control of virtual object properties are increasing; this happens especially for multicolor objects obtained by fluorescent microscopy. Existing solutions with universal VR controllers or software-based controllers with the need to define sufficient space for the user to manipulate data in VR are not usable in many practical applications. Therefore, we developed a custom gesture-based VR control system with a custom controller connected to the FluoRender visualization environment. A multitouch sensor disk was used for this purpose. Our control system may be a good choice for easier and more comfortable manipulation of virtual objects and their properties, especially using confocal microscopy, which is the most widely used technique for acquiring volumetric fluorescence data so far.
Organizations Decentered: Data Objects, Technology and Knowledge

Data are no longer simply a component of administrative and managerial work but a pervasive resource and medium through which organizations come to know and act upon the contingencies they confront. We theorize how the ongoing technological developments reinforce the traditional functions of data as instruments of management and control but also reframe and extend their role. By rendering data as technical entities, digital technologies transform the process of knowing and the knowledge functions data fulfil in socioeconomic life. These functions are most of the times mediated by putting together disperse and steadily updatable data in more stable entities we refer to as data objects. Users, customers, products, and physical machines rendered as data objects become the technical and cognitive means through which organizational knowledge, patterns, and practices develop. Such conditions loosen the dependence of data from domain knowledge, reorder the relative significance of internal versus external references in organizations, and contribute to a paradigmatic contemporary development that we identify with the decentering of organizations of which digital platforms are an important specimen.