Miracle-dz/UniFAR-FTUs huggingface dataset:
Adapting research to the 21st century - the Swedish Biobank Register.

In Sweden, there are currently nearly 600 biobanks. The Swedish Biobank Register (SBR) is an on-going national investment by the county councils working to capture information in one database about all biobank samples collected from patients attending the Swedish medical health care. The aim of the SBR is to gather enough information about biobank samples to be able to physically trace the samples. The BioBanking and Molecular Resource Infrastructure of Sweden (BBMRI.se) has been given the task of extending the SBR Information System (IS) with functionality useful for research in connection to health care, quality registers and large patient cohorts. The research extension is called BBMRI catalogue over sample collections for research. To achieve this, the SBR-IS will be extended with attributes useful for both epidemiological and clinical research enabling authorized researchers to search for samples stored at non-clinical biobanks nationwide. The Swedish Biobank Register, together with the BBMRI research catalogue, will be a unique resource for research. SBR-IS will contain information about biobank samples collected by both clinical and population-based biobanks specifically established for research purposes but BBMRI.se researchers will only be granted access to data related to population-based biobanks. As BBMRI.se is the Swedish hub of the pan-European biobank project BBMRI, whose goal is to promote excellence and efficacy in European life science research, the BBMRI research catalogue will also be made compatible with the European register by applying its minimum data set describing biobanks and their objects. In this paper we describe the implementation. Our belief is that it will pave the way for connecting biobanks on an international level as well as stimulate collaborations and optimize usage of biobank samples. In the long run, patients and sample donors will benefit as new results with high statistical power emerge from large scale studies.
Treatment of Black Alcoholics

Spend your few moment to read a book even only few pages. Reading book is not obligation and force for everybody. When you don't want to read, you can get punishment from the publisher. Read a book becomes a choice of your different characteristics. Many people with reading habit will always be enjoyable to read, or on the contrary. For some reasons, this treatment of black alcoholics tends to be the representative book in this website.
PILAR: A Federation of VISIR Systems for Analog Electronics

A remote laboratory is a real laboratory which is controlled and monitored remotely. The promotion of online experimentation is strengthening due to social needs and students/user demands based on accessible educational resources without temporal or geographical restrictions through the Internet. This educational approach also promotes lifelong learning and support education. The VISIR (Virtual Instrument Systems In Reality) remote laboratory is intended for the experimentation, signal measuring and design of electrical/electronics circuits remotely. The PILAR (Platform Integration of Laboratories based on the Architecture of visiR) Erasmus Plus project aims for the federation of five of the existing VISIR nodes, for sharing analog electronics experiments and empowering capacity and resources of each partner, as well as providing access to other educational institutions to a VISIR remote lab through the PILAR consortium.
A review of equine sepsis

Summary Sepsis is defined as an exaggerated, systemic inflammatory response to infection and is a common condition in horses. Systemic inflammatory response syndrome (SIRS) associated with bacterial infection is a hallmark of sepsis. Sepsis in neonatal foals is a common sequela of failure of passive transfer and, in addition to development of SIRS, may be characterised by bacteraemia, pneumonia, enterocolitis, omphalophlebitis, meningoencephalitis or arthritis. Sepsis in mature horses is most commonly observed secondary to gastrointestinal lesions that result in disrupted mucosa and bacterial translocation into circulation (endotoxaemia). Pleuropneumonia and metritis may also cause sepsis in mature horses. Diagnosis of sepsis is based on SIRS criteria as well as suspected or confirmed infection. Due to the relatively low sensitivity of microbial culture and the subjectivity of sepsis scoring, many sepsis biomarkers are being studied for their usefulness in diagnosis and prognostication of sepsis in horses. Treatment of sepsis requires an intensive care approach that includes antimicrobial drug administration, fluid resuscitation and pressure support, and treatment for inflammation, endotoxaemia and coagulopathy. Early recognition of sepsis and prompt antimicrobial drug treatment are critical for a successful outcome. Multiple organ dysfunction syndrome may occur in severe cases of sepsis, with common manifestations including laminitis and coagulopathies. Although prognosis for septic mature horses depends highly on the primary disease process, the overall survival rate in septic neonatal foals ranges from 26 to 86%, with most studies indicating a survival rate of 45–60%.
Self-Injected Optical Frequency Comb Quantum Dash Lasers

Self mode-locked (SML) quantum dash (QDh) lasers emitting at around 1550 nm are compact broadband optical frequency comb (OFC) sources for multi-wavelength communication applications [1,2]. Optical self-feedback (OFB) by auxiliary cavities with lengths in the meter-range is a well-established method for a precise and dynamical mode spacing control of passively mode-locked (PML) semiconductor lasers. Recent works focused on identifying maximum tuning ranges of quantum well PML lasers and suggested that external OFB length, interaction width of fed-back pulse with the pulse inside the laser cavity and the OFB strength appear predominant [3]. In this contribution, we experimentally investigate and explain by modeling the dependence of mode spacing of OFB of SML QDh lasers subject to different cavity lengths on the external optical delay. Here, we study the impact of different OFB strengths and external OFB cavity lengths onto the mode spacing of QDh SML lasers. The three lasers investigated are 1 mm and 2 mm long, corresponding to a mode spacing of 40 GHz and 20 GHz, base on 6 and 9 layers of InAs/InGaAsP Qdhs [1,4] and exhibit as-cleaved facets. In the developed experimental set-up, sketched in Fig. 1a), the laser light is coupled into a lensed single-mode fiber and a part of the light is directed to the hybrid fiber based and free-space OFB cavity.
Synchronization of Distributed Controllers in Cyber-Physical Systems

Due to misaligned clock sources, distributed control in Cyber-Physical Systems (CPS) requires not only synchronous execution of control algorithms on distributed system components, which we refer to as cyber-synchronization, but also appropriate generation of actuation signals—we refer to this as physical-synchronization. In this paper, we define general requirements for cyber-physical synchronization, as well as show their use on a specific real-world application—distributed motion control for reconfigurable manufacturing systems. We present synchronization challenges in such systems and investigate effects of synchronization errors on the overall system functionality (i.e., machining accuracy). Furthermore, we introduce a low-cost synchronization scheme that can be implemented with of-the-shelf components and validate it on standardized accuracy tests with 2D configurations of industry-grade single-axis robots. We show that our cyber-physical synchronization techniques ensure minimal accuracy impairment of distributed motion control without introducing significant cost/overhead to system design.
Improved Electromagnetic Compatibility Standards for the Interconnected Wireless World

The future is wireless, a world where everything is interconnected. However, the current standards for ensuring the electromagnetic compatibility (EMC) and the coexistence of such wireless systems urge for a major update. It is shown how novel statistical approaches based on the amplitude probability distribution detector and time-domain measurements are better suited for estimating the degradation caused by electromagnetic interferences on digital communication systems than the established practice of determining compliance according to the quasi-peak detector levels using a pass/fail criterion. Therefore, a redefinition of the test methods and of the compliance requirements in terms of EMC standards must be a priority of the international standardization bodies. Finally, a discussion of the fundamental challenges involved in this standardization breakthrough for EMC is delivered.
Principle of a Subcarrier Frequency-modulated Continuous-wave Radar in the Terahertz Band Using a Resonant-tunneling-diode Oscillator

We introduce a new principle for distance measurement using terahertz waves. The method relies on the frequency-modulated continuous-wave radar technique, in which a sawtooth frequency modulation is applied to a subcarrier of the terahertz-wave. We used a resonant-tunneling-diode oscillator as the terahertz-wave source. Our first experimental results in verifying the measurement principle are presented.
Distributed Consensus of Markov Jump Multi-Agent Systems With Asynchronous Mode-Dependent Switching Topology and Communication Delays

This paper deals with the distributed consensus for Markov jump multi-agent systems (MJMASs) with switching topology. In particular, another different Markov process is adopted to describe the switching topology and mode-dependent transmission delays. By means of model conversion and using Lyapunov-Krasovskii functional method, consensus criterion is first established. The consensus controllers can be further obtained with the aid of matrix transform. The corresponding simulation is presented for showing the validity of the developed method.
Real-Time Observation of Build-Up and Shut-Down Dynamics of Dispersion-Managed Soliton Líber Laser

Recently, time-stretch dispersive Fourier transform (TS-DFT) technique has been developed to measure the ultrafast transient phenomena in mode-locked lasers, especially for the build-up process of soliton which cannot be monitored with traditional techniques [1]-[6]. These works mainly focus on the starting dynamics of soliton [2] in the mode-locked fiber laser under anomalous dispersion. The spectral build-up process of dissipative soliton (DS) in the net-normal dispersion regime was reported in the recent work [4]. However, the starting dynamics of stretched pulse has not been studied experimentally no matter in temporal or spectral domain. Additionally, the evolution dynamics when the mode-locked fiber lasers are shut down also remains unclear. The starting and shutting processes are extremely important in some applications, such as laser rapid processing which need to turn on and off laser source repeatedly.
Ontology-Based Model Abstraction

In recent years, there has been a growth in the use of reference conceptual models to capture information about complex and critical domains. However, as the complexity of domain increases, so does the size and complexity of the models that represent them. Over the years, different techniques for complexity management in large conceptual models have been developed. In particular, several authors have proposed different techniques for model abstraction. In this paper, we leverage on the ontologically well-founded semantics of the modeling language OntoUML to propose a novel approach for model abstraction in conceptual models. We provide a precise definition for a set of Graph-Rewriting rules that can automatically produce much-reduced versions of OntoUML models that concentrate the models’ information content around the ontologically essential types in that domain, i.e., the so-called Kinds. The approach has been implemented using a model-based editor and tested over a repository of OntoUML models.
Time Domain Channel Model for the THz Band

Time domain channel model based on impulse response is introduced for wireless nanosensor networks which is used in the terahertz band (THz band: 0.1–10 THz) and short range (1–100 cm). We assume two-ray ground-reflection model. In THz band, rough surface on the reflector has effect on the impulse response due to very short wavelength. This paper focuses on frequency domain and time domain channel models and, for wireless communication analysis the impulse response is very important. Both models represent molecular absorption and rough surface effect which are unique aspects in THz band. The time domain channel model has multiple delayed taps even in LoS path. Reflected path has significantly strong effect to received signal from LoS path at long distance between transmitter and receiver than at short distance, relatively. These channel models are essential for a development of THz band communication techniques.
Transient Overshoot of Sub-10nm Bulk FinFET ESD Diodes with S/D Epitaxy Stressor

New process options in CMOS technology scaling often result in degradation of ESD device performance. TCAD simulations bring an in-depth look at the impact of S/D epitaxy process options with channel strain engineering on CDM-time domain turn-on transient overshoot of ESD diodes in next generation bulk FinFET and GAA technologies.
Jointly Detecting and Extracting Social Events From Twitter Using Gated BiLSTM-CRF

In this article, we focus on the problem of social event extraction from Twitter, in which event detection, i.e., to identify which messages truly mention events of interest, is an indispensable step due to the fact that most Twitter messages, viz. tweets, are not related to any real-world event. Existing approaches to this problem often use pipelined architectures relying on some hand-crafted features derived using off-the-shelf natural language processing (NLP) tools, which may cause error propagation from the upstream component (event detection) to the downstream one (element extraction) and fail to leverage the interdependencies between them. To overcome these limitations, we propose a deep neural network based framework to Jointly Detect and Extract Events from Twitter (JDEET), which learns, as well as conducts, detection and extraction simultaneously by defining a joint loss function, a bidirectional long short-term memory (LSTM) based common representation layer, and a control gate. A conditional random field (CRF) layer is further employed to capture the strong dependencies among output labels. Experimental results show that the proposed approach outperforms the state-of-the-art ones considerably on a real-world dataset from Twitter.
A Convenient Pose Measurement Method of Mobile Robot Using Scan Matching and Eye-in-Hand Vision System

This paper presents a convenient and practical pose measurement method with satisfactory accuracy to obtain the absolute pose of the mobile robot near the destination in the wide-area and multi-destination scenario. The proposed method consists of the following distinguished features: first, an improved Monte-Carlo localization with the scan matching method is proposed to accurately calculate the absolute pose (target pose) of the mobile robot at the target destination; then, an eye-in-hand vision system is designed to attain the pose error between the actual and target pose of the robot, and the actual absolute pose can be obtained. At this point, the pose measurement near the destination is realized; moreover, these accurate measurement data are in application to parking error compensation. Compared to traditional measurement methods, our method does not require many additional devices to implement in the scene and meet the measurement requirements near the destination with guaranteed accuracy. The feasibility of the proposed method is verified through several experiments using the self-developed mobile robot.
Stackelberg Game Approach to Mixed H2/H∞ Problem: The Discrete-time Case

In this paper, we are concerned with the mixed $H_{2}/H_{\infty}$ control problem which is formulated as a kind of constraint optimization problems where the control input is to minimize the H2-norm subject to the $\lt p\gt H_{\infty}$-constraint dealt with by the disturbance. The main contribution is to give the strategy in terms of three decoupled equations: two Riccati equations and one Lyapunov equation. The key technique is to apply the Stackelberg game approach by treating the disturbance as the follower and the control input as the leader respectively. A numerical example is given to verify the efficiency of the proposed approach.
Overview of Positioning in 5G New Radio

Accurate and real time location knowledge is an important requirement for various new services like e.g. emergency services, vehicular related use cases and factories of the future. 3GPP Rel-16 will specify positioning support for 5G New Radio (NR). A study item was concluded in March 2019 to investigate positioning support for NR Rel-16 and a follow up work item is in progress to specify positioning support for Rel-16. Several positioning solutions will be supported in 5G NR. The operation in higher carrier frequencies and utilization of massive antenna arrays provides additional degrees of freedom to improve the positioning accuracy compared to LTE. Rel-16 positioning is targeting to < 3 meters positioning accuracy for some use cases. Next 3GPP Releases are expected to further specify methods for sub-meter accuracy and low latency. In this work an overview of the positioning work within 3GPP is given, highlighting both architectural and physical layer aspects.
Research on Master-Slave Distributed Large-Scale Poultry Farming Measurement and Control System

At present, most poultry environmental control systems are designed for specific needs, and some users with large farming scale can only manage each breeding place separately, causing some problems as complication and difficulty in analyzing and utilizing information. In order to solve these problems, we have designed and developed a master-slave distributed large-scale poultry farming measurement and control system, with a network model adopting a total star-shaped structure, a cloud service monitoring center manages multiple lower-machine monitoring sub-stations. Each sub-machine monitoring sub-station completes their respective tasks according to different need. The experiment proves that the system network have good connectivity of the nodes and strong control, which can quickly collect the environmental information of the subordinate station monitoring substation. The system network can also carry out the edge network calculation and processing analysis on the data from the poultry house environment through the sensor to reduce the time delay. Therefore, the system can reasonably control the poultry house environment and make it in a state of dynamic balance. It overcomes the problem of insufficient control force, eliminates the hidden danger in manual management, expands the control scope, and improves the automatic control ability of poultry house environment.
A Quantum Element Reduced Order Model

A reduced-order model for quantum eigenvalue problems developed previously is revised and combined with the domain decomposition method to construct the quantum element method (QEM). The basic idea of the QEM is to partition a quantum domain structure into several subdomains or elements. Each element is projected onto a functional space using the proper orthogonal decommission. These elements are then combined together to construct the whole domain structure. The proposed QEM has been demonstrated in 2 quantum well structures constructed with several elements. The study illustrates that the QEM is capable of offering accurate prediction of wave functions and quantum eigenenergies with a substantial reduction in the numerical degrees of freedom compared to direct numerical simulation of the Schrödinger equation.
Nonuniformity study for silicon-based BIB terahertz detectors

Silicon-based blocked-impurity-band (BIB) array detector has been fabricated. The dark current densities versus anode bias with anode bias scanning from -4V to 4V for four different pixels on a single array chip have been measured in order to study the nonuniformity of terahertz array detector. It has been demonstrated that the minimum nonuniformity of 7.6% can be achieved for our fabricated Silicon-based BIB array detector.
Statistical Model Checking for Real-Time Database Management Systems: A Case Study

Many industrial control systems manage critical data using Database Management Systems (DBMS). The correctness of transactions, especially their atomicity, isolation and temporal correctness, is essential for the dependability of the entire system. Existing methods and techniques, however, either lack the ability to analyze the interplay of these properties, or do not scale well for systems with large amounts of transactions and data, and complex transaction management mechanisms. In this paper, we propose to analyze large scale real-time database systems using statistical model checking. We propose a pattern-based framework, by extending our previous work, to model the real-time DBMS as a network of stochastic timed automata, which can be analyzed by UPPAAL Statistical Model Checker. We present an industrial case study, in which we design a collision avoidance system for multiple autonomous construction vehicles, via concurrency control of a real-time DBMS. The desired properties of the designed system are analyzed using our proposed framework.
Compact and Wideband Dipole Antennas

Two compact and wideband dipole antennas are proposed in this paper. The first dipole operates at a low-frequency band from 77.8 MHz to more than 500 MHz with VSWR lower than 2.5:1 and lowest realized gain of -25 dBi at 80 MHz. The second antenna operates at a higher frequency band from 0.5 GHz to more than 6 GHz with VSWR lower than 2.8:1 and a minimum realized gain of -6 dBi at 0.5 GHz. The low-frequency dipole has a diameter of $0.04 \lambda_{fmin}$ and a height of $0.13 \lambda_{fmin}$, where $\lambda_{fmin}$ is the free-space wavelength at the lowest frequency of operation. While the high-frequency dipole has a diameter of $0.15 \lambda_{fmin}$ and a height of $0.13 \lambda_{fmin}$, where $\lambda_{fmin}$ is the free-space wavelength at the lowest frequency of operation. Both dipoles rely on the monopolar-patch antenna with wideband feed strategy. A curved cone is utilized as the wideband feed. The low-frequency dipole is fed by a surface-mount RF transformer, which serves as a balun from the coaxial cable to the dipole antenna. The high-frequency dipole is fed by a printed broadband microstrip line to double-sided parallel-strip line transition. These two dipoles are fabricated and measured. The measured VSWR results consistent with the simulated ones for both dipoles.
Monitoring and Management System of Patients With Shoulder Tendinopathy in Rehabilitation Using Kinect 2.0

The present study aims to implement a support application in the follow-up of physical therapy sessions through Kinect 2.0 for patients with shoulder tendinopathy between 18 and 65 years old. The system was divided into two modules, one for the physiotherapist, which facilitates the management of the sessions and attention to the patients, and one for the patient to evaluate the way they perform the exercises programmed by the physiotherapist. The results obtained through the Kinect are sent to the web environment for physiotherapist’s analysis. The system was validated with 10 users between 20 and 50 years of which 80% assertiveness was obtained with respect to the successes and failures of the patients based on the average for each repetition. This project seeks, mainly, that physiotherapists provide simultaneous care to patients by optimizing the management and monitoring process, taking better decisions for the upcoming sessions.