Miracle-dz/UniFAR-FTUs huggingface dataset:
Anwendungsgrenzen für eine teilweise Verdübelung von Verbundträgern mit oberflanschlosen Stahlprofilen und Verbunddübelleisten

Im EC4 sind Anwendungsgrenzen für die plastische Biegebemessung teilverdübelter Verbundträger geregelt. Neben ausreichender Verbundmittelduktilität (die Kopfbolzendübel müssen ein Verformungsvermögen von mindestens 6 mm besitzen) wird gefordert, dass die Stahlträger identische oder maximal um den dreifachen Wert abweichende Flanschflächen von Ober‐ und Untergurt aufweisen. Darüber hinaus ist eine untere Grenze für die Schubtragfähigkeit der Verbundfuge (Mindestverdübelungsgrad) definiert. Für Verbundträger mit oberflanschlosen Stahlträgern und Verbunddübelleisten wurden entsprechende Anwendungsgrenzen bisher nicht erforscht. Aufgrund deutlicher Unterschiede im Hinblick auf die Querschnittsform des Stahlprofils und das Verformungsverhalten der Verbundmittel ist eine einfache Übertragung der Regeln aus EC4 allerdings nicht möglich und voraussichtlich unsicher. Im Rahmen des ersten von zwei Fachaufsätzen zu diesem Thema werden die theoretischen Grundlagen und die Untersuchungsmethodik zur Herleitung von Anwendungsgrenzen für den Teilverbund erläutert. Neben der plastischen Biegebemessung nach Teilverbundtheorie für verschiedene Querschnitte werden nichtlineare, dreidimensionale FE‐Modelle für Verbundträger mit oberflanschlosen Stahlträgern und Verbunddübelleisten entwickelt und an Versuchen aus der Literatur validiert.
Sources of Conflict and Prevention Proposals in User Violence Toward Primary Care Staff: A Qualitative Study of the Perception of Professionals

Background Some studies indicate that at least one in four cases of workplace violence occurs in the health sector, with a higher incidence in Emergency Departments, Mental Health Services or Primary Care. Unlike other professional groups, healthcare workers perceive this type of behavior mainly from users or patients. This is the reason why both the detection of conflict between users and professionals and the ways to face and reduce these conflicts has been and is one of the main fields of study in this population. The aim of this study was to delve into the sources of conflict between users and professionals in Primary Care from the perspective of the professionals themselves. In addition, the aim was to explore the proposals for intervention/prevention of this conflict that the professionals perceived as necessary to improve the work environment. Methods This study uses qualitative methodology conducting 8 focus groups with professionals related to Primary Health Care. The final sample was composed of 44 workers who were part of the regional management, labor unions, area coordinators, center coordinators and representatives of the professional groups of these centers (medicine, nursing and administration). Thematic analysis was used to extract topics and subtopics. Results The results are divided into areas of conflict and intervention proposals. The professionals detect a lack of training or education in themselves, absence of functional multidisciplinary teams or competencies to improve the patient-professional relationship, among others. To address these shortcomings, they propose the creation of protocols for action in the face of aggression, the formation of spaces and channels of communication both among the center's own workers and between them and other organizations (e.g., hospitals), fostering a positive relationship with the user community and ongoing training in various topics such as self-safety, management of emotions, empathy or interpersonal communication. Conclusions This study allows to highlight specific areas of user-professional conflict in Primary Care. Furthermore, the inclusion of intervention proposals by the professionals allows to propose starting points for the development of complete plans.
Transformer‐based multilevel inverters: analysis, design and implementation

In this study, a single-phase nine-level inverter using one transformer is proposed. The proposed inverter can generate nine levels with a reduced number of components by utilising one dc voltage source. Based on a four-arm power module, the voltage stresses on all the power switches are the same, making the proposed inverter be easy to construct. The proposed structure has ability to increase the output voltage with no need of any auxiliary boost system. Other features of the proposed structure are its extendibility to generate high number of levels. For this case, the optimum values of the turns ratio of the transformers for the developed structure are presented to generate maximum number of voltage levels for a given number of switches. Moreover, the proposed structure has low cost and volume in comparison with the relevant structures. In order to verify the performance of the proposed multilevel inverter, a prototype has been built and tested.
Minor alleles of common SNPs quantitatively affect traits/diseases and are under both positive and negative selection

A new understanding of the genetic equidistance result of Margoliash that originally inspired the neutral theory has disproven the theory’s implicit message of a forever correlation between genetic distance and time. The more complete Maximum Genetic Diversity (MGD) hypothesis is a newly proposed alternative and considers genetic diversity today to be mostly at an optimum equilibrium. To use the MGD to help solve major biomedical problems, we here asked whether extreme values in genetic diversity as represented by the amount of minor alleles (MAs) of common SNPs may represent extreme trait values and common diseases. We analyzed panels of genetic reference populations and identified the MAs in each panel and the MA fractions that each strain carried. We also analyzed 21 published GWAS datasets of human diseases and identified the MA fractions of each case or control. MA amounts in model organisms were nearly linearly linked to quantitative variations in numerous traits including life span, tumor susceptibility, anxiety, depression, learning and memory, sensitivity to alcohol, methamphetamine, cocaine, pain and anti-psychotic drugs, levels in glucose, insulin, resistin, IL17, iron, and dopamine, and two correlated traits poor reproductive fitness and strong immunity. Similarly, in Europeans or European Americans, enrichment of MAs of fast but not slow evolutionary rate was linked to autoimmune and numerous other diseases including type 2 diabetes, Parkinson’s disease, psychiatric disorders, alcohol and cocaine addictions, cancer, and less life span. Therefore, both high and low MA amounts correlated with extreme values in many traits and are hence negatively selected, indicating that most MAs may be nearly neutral or slightly deleterious due to both positive and negative selection. These results add further evidence for the MGD hypothesis and open a new avenue of inquiry into the genetic basis of complex traits/diseases.
IOT Based Battery Monitoring System For Electric Vehicle

This paper describes the application of Internet-of-things (IoT) in monitoring the performance of electric vehicle battery. It is clear that an electric vehicle totally depends on the source of energy from a battery. However, the amount of energy supplied to the vehicle is decreasing gradually that leads to the performance degradation. This is a major concern for battery manufacture. In this work, the idea of monitoring the performance of the vehicle using IoT techniques is proposed, so that the monitoring can be done directly. The proposed IoT-based battery monitoring system is consists of two major parts i) monitoring device and ii) user interface. Based on experimental results, the system is capable to detect degraded battery performance and sends notification messages to the user for further action.
Design of a miniaturized frequency reconfigurable antenna for rectenna in WiMAX and ISM frequency bands

A frequency reconfigurable miniaturized circular microstrip patch antenna operating in WiMAX (2.5–2.8 GHz) and ISM (2.4–2.48 GHz) frequency bands for the rectenna applications is proposed here. The theory of reconfigurability is employed to switch the operating frequency of the proposed antenna from 2.53 to 2.45 GHz. The electrical length of the radiated circular patch is increased while keeping the overall physical dimension of the antenna constant to provide different current distributions on the radiating patch for the phenomenon of frequency shift. The high permittivity substrate and microstrip transmission‐line feeding mechanism is used to reduce the size of antenna. To demonstrate the reduction in antenna size, a comparison of the proposed antenna with the latest antennas for rectenna applications in literature is presented.
Harmonic Stability in Power Electronic-Based Power Systems: Concept, Modeling, and Analysis

The large-scale integration of power electronic-based systems poses new challenges to the stability and power quality of modern power grids. The wide timescale and frequency-coupling dynamics of electronic power converters tend to bring in harmonic instability in the form of resonances or abnormal harmonics in a wide frequency range. This paper provides a systematic analysis of harmonic stability in the future power-electronic-based power systems. The basic concept and phenomena of harmonic stability are elaborated first. It is pointed out that the harmonic stability is a breed of small-signal stability problems, featuring the waveform distortions at the frequencies above and below the fundamental frequency of the system. The linearized models of converters and system analysis methods are then discussed. It reveals that the linearized models of ac–dc converters can be generalized to the harmonic transfer function, which is mathematically derived from linear time-periodic system theory. Lastly, future challenges on the system modeling and analysis of harmonic stability in large-scale power electronic based power grids are summarized.
Efficiency and performance analysis of DTC‐based IM drivetrain using variable dc‐link voltage for electric vehicle applications

In recent times, there has been a surge in R&D activities in the area of electric vehicles (EVs). This surge is fuelled by various governmental policies that aim at increasing the penetration of EVs on roads. This work aims at developing and analyzing drivetrain configurations for city commute vehicles. Since city commute involves frequent start stops, it is necessary to focus on the dynamic performance as well as the system efficiency. Here two drivetrain configurations are considered. The first has a battery pack, an inverter, and an induction motor while the second configuration has an additional dc-dc converter. A detailed control strategy for each drivetrain is presented. Moreover, an experimental setup is developed that mimics the behavior of a scaled-down vehicle. Both the configurations are subjected to extensive experimentation using the developed setup and it is found that despite the use of an additional dc-dc converter, the second configuration has better overall system efficiency in city driving conditions. To explain the results, detailed efficiency maps of the individual subsystem and the overall system are also presented. Furthermore, the drive cycle response and energy consumption analysis, for both the drivetrains for NYCC and city part-NEDC are presented.
Changes in sleep quality among Chinese active service personnel: A cross-temporal meta-analysis, 2003-2019

ABSTRACT Military personnel live in operating environments in which poor sleep is common. In this cross-temporal meta-analysis (CTMA), 100 studies (144 data sets, N = 75,998) were identified to examine changes in sleep quality among Chinese active service personnel from 2003 to 2019. Participants were divided into three groups: the navy, the non-navy, and the unknown service. The Pittsburgh Sleep Quality Index (PSQI) was used as the measure of sleep quality; it contains a global score and seven component scores, with higher scores indicative of poorer sleep. Among all active military personnel, the PSQI global and seven component scores decreased from 2003 to 2019. In examining the results by military type, the PSQI global and seven component scores increased in the navy group. Conversely, both the non-navy and unknown-service groups showed decreased PSQI global scores over time. Similarly, all PSQI component scores decreased over time for both the non-navy and unknown service groups, except for the use of sleeping medication (USM), which increased in the non-navy group. In conclusion, the sleep quality of Chinese active service personnel showed a positive trend. Further research should focus on improving the navy’s sleep quality.
Automatic Segmentation of MRI of Brain Tumor Using Deep Convolutional Network

Computer-aided diagnosis and treatment of multimodal magnetic resonance imaging (MRI) brain tumor image segmentation has always been a hot and significant topic in the field of medical image processing. Multimodal MRI brain tumor image segmentation utilizes the characteristics of each modal in the MRI image to segment the entire tumor and tumor core area and enhanced them from normal brain tissues. However, the grayscale similarity between brain tissues in various MRI images is very immense making it difficult to deal with the segmentation of multimodal MRI brain tumor images through traditional algorithms. Therefore, we employ the deep learning method as a tool to make full use of the complementary feature information between the multimodalities and instigate the following research: (i) build a network model suitable for brain tumor segmentation tasks based on the fully convolutional neural network framework and (ii) adopting an end-to-end training method, using two-dimensional slices of MRI images as network input data. The problem of unbalanced categories in various brain tumor image data is overcome by introducing the Dice loss function into the network to calculate the network training loss; at the same time, parallel Dice loss is proposed to further improve the substructure segmentation effect. We proposed a cascaded network model based on a fully convolutional neural network to improve the tumor core area and enhance the segmentation accuracy of the tumor area and achieve good prediction results for the substructure segmentation on the BraTS 2017 data set.
Asymptotically Tight MLD Bounds and Minimum-Variance Importance Sampling Estimator for Linear Block Codes Over BSCs

In this paper, we re-examine the classical problem of efficiently evaluating the block and bit error rate performance of linear block codes over binary symmetric channels (BSCs). In communication systems, the maximum likelihood decoding (MLD) bounds are powerful tools to predict the error performance of the coded systems, especially in the asymptotic regime of low error probability (or high signal-to-noise ratio). Contrary to the conventional wisdom, we prove that for BSCs, all bounds based on Gallager’s first bounding technique, including the famous union bound, are not asymptotically tight for all possible choices of the Gallager region. By proposing the so-called input demodulated-output weight enumerating function (IDWEF) of a code, asymptotically tight MLD upper and lower bounds for BSCs are then derived. In many practical scenarios where performance bounds are not applicable (e.g., due to the unavailability of the relevant coding parameters under a given decoder), the Monte Carlo simulation is commonly used despite its inefficiency, especially in the low error probability regime. We propose an efficient importance sampling (IS) estimator by deriving the optimal IS distribution of the Hamming weight of the error vector. In addition, the asymptotic relative saving on the required sample size of the proposed IS estimator over the state-of-the-art counterpart in the recent literature is characterized. Its accuracy in predicting the efficiency of the proposed IS estimator is verified by extensive computer simulation.
Analysis and control of a buck DC-DC converter operating with constant power load in sea and undersea vehicles

Power electronics based zonal DC power distribution systems are being considered for sea and undersea vehicles. The stability of the DC power electronics based power distribution systems is a significant design consideration because of the potential for negative impedance induced instabilities. In this paper, dynamic properties and control of a buck converter feeding a downstream DC-DC converter are studied. The controller in this system combines an instantaneous current feedback loop using hysteresis with a proportional-integral algorithm to regulate the output voltage of the converter. Based on a large-signal averaged model of the converter, the stability-in-large around the operation point is presented. The complete analysis is carried out considering a buck DC-DC converter operating with a constant power load. Simulations and experimental results are provided to verify the analysis.
Cleaner production solution selection for paper making – a case study of Latif paper products Co. Iran

Abstract The objective of this research is to design an approach for selecting appropriate solutions to efficiently and productively reduce environmental pollution and water, energy and raw material consumption in a recycled paper manufacturing facility, the paper mill in Latif, Iran. To reach this goal, we develop a decision-making model using the Analytic Hierarchy Process (AHP). The proposed model provides a framework for cleaner production implementation specific to the paper industry. Pairwise comparisons of the results of designed questionnaires resulted in the hierarchy model being divided into five major groups: production modification; process change; preventive maintenance; renewal; and manpower resources.These five groups include 31 sub-criteria and seven alternatives. The results showed that process change yields the highest priority among the main criteria and that industrial automation and its technology level gives the highest priority among sub-criteria. Regarding the alternatives, reduction of environmental pollution is the most important solution for cleaner production in the industry. Also, product modification is the most sensitive criterion affecting the alternatives priority.
Two new species of freshwater fishes of the genus Alburnoides, A. fangfangae and A. devolli (Actinopterygii: Cyprinidae), from the Adriatic Sea Basin in Albania

Two new species of the genus Alburnoides are described from the river Seman drainage in the eastern Adriatic Sea basin in Albania. Both species have a pharyngeal tooth formula of 2.5–4.2. Alburnoides fangfangae, which occurs in the upper Osum river system, is distinguished from other members of the genus by a combination of characters including 11½–13½ anal fin branched rays, small scales numbering 46–53 in the total pored lateral line, total vertebrae usually 40 (20+20 and 21+19) or 41 (21+20 and 20+21), caudal peduncle depth 43–48% body depth at dorsal fin origin, usually a mostly or completely scaleless ventral keel, the mouth with a curved and only slightly slanted cleft and a produced fleshy snout, the interorbital width 1.3–1.5 times the eye diameter, a weakly ossified preethmoid, and a depressed and considerably expanded anterior tip of the basihyal (a unique feature among the western European Alburnoides). Alburnoides devolli, which is described from the upper Devoll river system, differs in having 11½–13½ anal fin branched rays, larger scales numbering 44–48 in the total pored lateral line, total vertebrae usually 40 (20+20), caudal peduncle depth 35–43% body depth at dorsal fin origin, usually a mostly or completely scaled ventral keel, the mouth with a straight and upturned cleft, the interorbital width 1.1–1.4 times the eye diameter, a completely ossified preethmoid, and a narrow, very deeply indented anterior tip of the urohyal (a unique feature among the western European Alburnoides). A comparison with Alburnoides species from River Danube and Prespa, Ohrid, and Skadar lakes is provided.
Two-Stage Volt-VAr Optimization of Distribution Grids With Smart Inverters and Legacy Devices

This article develops a two-stage volt-VAr control strategy coordinating the discrete controls of legacy grid devices and the operation of smart inverters (SIs) in power distribution grids with high penetration of photovoltaic generation. The first stage dispatch problem optimally coordinates the tap settings of on-load tap changers, <sc>on</sc>/<sc>off</sc> status of shunt capacitor banks, and SIs’ active power output. The second stage incorporates the SI volt-VAr mode, i.e., <inline-formula><tex-math notation="LaTeX">$\mathbf{Q(V)}$</tex-math></inline-formula> as per IEEE-1547, and an adaptive volt-VAr droop function, <inline-formula><tex-math notation="LaTeX">$\mathbf{Q(\Delta V)}$</tex-math></inline-formula>, to dispatch the SI reactive power generation. Both dispatch problems are formulated as mixed-integer linear programming problems to maintain tractable formulations and reduce the complexity and computational burden that usually arise when solving large-scale optimal power flow problems. The proposed two-stage strategy is tested on a modified IEEE 123-bus system considering different droop settings. The dispatch strategy augmented with <inline-formula><tex-math notation="LaTeX">$\mathbf{Q(\Delta V)}$</tex-math></inline-formula> droop outperforms the model with only <inline-formula><tex-math notation="LaTeX">$\mathbf{Q(V)}$</tex-math></inline-formula> droop in stabilizing the PCC voltage while maintaining less active power curtailment.
Thermally Activated Delayed Fluorescence Emitters for Deep Blue Organic Light Emitting Diodes: A Review of Recent Advances

Organic light-emitting diodes offer attractive perspectives for the next generation display and lighting technologies. The potential is huge and the list of potential applications is almost endless. So far, blue emitters still suffer from noticeably inferior electroluminescence performances in terms of efficiency, lifespan, color quality, and charge injection/transport when compared to that of the other colors. Emitting materials matching the NTSC standard blue of coordinates (0.14, 0.08) are extremely rare and still constitutes the focus of numerous academic and industrial researches. In this context, we review herein the recent developments on highly emissive deep-blue thermally activated delayed fluorescence emitters that constitute the third-generation electroluminescent materials.
Analysis of Radio Field Requirement for RFID Systems Use in Warehouses

Abstract RFID systems work on communication between data carriers and data readers. This basic data transmission is provided in virtual network, which have to be steady. Reading range of data readers is depending on many factors, as devices parameters, surroundings and type of data carrier. Nowadays, technology provides better communication between devices, which dramatically increases distance, in which devices are able to communicate with each other. With proper setting, interaction in logistic processes could be faster and stable. This paper explores equipment needed for transport information from data carrier through data readers to software devices, which are responsible for information processing.