Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnosis and management of dementia with Lewy bodies

The dementia with Lewy bodies (DLB) Consortium has revised criteria for the clinical and pathologic diagnosis of DLB incorporating new information about the core clinical features and suggesting improved methods to assess them. REM sleep behavior disorder, severe neuroleptic sensitivity, and reduced striatal dopamine transporter activity on functional neuroimaging are given greater diagnostic weighting as features suggestive of a DLB diagnosis. The 1-year rule distinguishing between DLB and Parkinson disease with dementia may be difficult to apply in clinical settings and in such cases the term most appropriate to each individual patient should be used. Generic terms such as Lewy body (LB) disease are often helpful. The authors propose a new scheme for the pathologic assessment of LBs and Lewy neurites (LN) using alpha-synuclein immunohistochemistry and semiquantitative grading of lesion density, with the pattern of regional involvement being more important than total LB count. The new criteria take into account both Lewy-related and Alzheimer disease (AD)-type pathology to allocate a probability that these are associated with the clinical DLB syndrome. Finally, the authors suggest patient management guidelines including the need for accurate diagnosis, a target symptom approach, and use of appropriate outcome measures. There is limited evidence about specific interventions but available data suggest only a partial response of motor symptoms to levodopa: severe sensitivity to typical and atypical antipsychotics in ∼50%, and improvements in attention, visual hallucinations, and sleep disorders with cholinesterase inhibitors.
MACROSCOPIC OBSERVATION OF MULTI-ROBOT BEHAVIOR

This paper presents a new approach to the observation and the control of the behavior of multiple autonomous robots. It is the microscopic observation expressed by dynamic equations that has been commonly employed to observe the multi-robot behavior. However, the approach has the difficulties in estimating the behavior and the mutual interactions of robots. Furthermore, it is hard to realize the system by checking up all the factors of the system. It seems that a macroscopic observation defined by state equations is efficient for recognizing the multiple robots behavior. Therefore, we would like to propose a quantitative observation approach. This attempt means the application of the thermodynamic macroscopic state values to the multi-robot systems. The advantage of this approach is that it enables us to observe the behavior of autonomous robots in real world by mapping the characteristic values of them in another conceptual state space. First, we discuss the implication of applying a quantitative observation on multiple robots. Next we define the thermodynamic macroscopic state values, such as temperature, pressure and entropy, in mobile robots systems. Each mobile robot is regarded as a particle in thermodynamic systems. We then set up an experiment to show that the states of robots system can be classified by thermodynamic macroscopic state value. This verifies that the macroscopic quantitative observation is efficient and applicable to control multi-robot systems. Finally, we demonstrate an application of the proposed approach to controlling the multi-robot behavior.
Application of Intelligent Grey Wolf Optimizer for Transient Stability Constrained Optimal Power Flow

Due to deregulation in the energy market and rapid increase in the power demand, the power system components are working closely to their permissible limits. Under this environment, the systems’ stability and security are the major concern for the system operator. Transient stability and security constrained optimal power flow (TSSCOPF) problem can be developed by employing with OPF line loading and rotor angle trajectory constraints. This paper employs a newly developed variant of GWO named as Intelligent Grey Wolf Optimizer (IGWO) to solve TSSCOPF problem. The application of IGWO has been investigated on TSSCOPF problem for IEEE-30 test bus system. After observing the results and rotor angle trajectories under different severe contingencies, it can be stated that the proposed method is suitable for TSSCOPF problem. Further, the comparison of this variant with some recently published approaches is also presented. The promising results establish the efficacy of IGWO for solving TSSCOPF problem.
New Convergence Results for Davidson-type Algorithms 1

In this paper we present a proof of convergence for a precondi-tioned subspace method (the Generalized Davidson Algorithm) which shows the dependency of the convergence rate on the preconditioner used. This convergence rate depends only on the condition of the pre-conditioned system 2 (MA) and the relative separation of the rst two eigenvalues 1 ? 1 == 2. This means that, for example, standard multi-grid preconditioners can be used to nd eigenvalues of elliptic PDE's at a grid-independent rate. A convergence proof of the general Davidson Algorithm was obtained by Crouzeix, Philippe and Sadkane 3]. However, they do not obtain any estimates of the rate of convergence, or explain its dependence on the pre-conditioner chosen. More speciic results, including results relating the pre-conditioner with convergence results were developed by Oliveira 6, 7]. Let A be the given matrix whose eigenvalues and eigenvectors are sought. The preconditioner M is given for one step, and Davidson's algorithm is used with u k being the current computed approximate eigenvector. The current eigenvalue estimate is the Rayleigh quotient b k = A (u k) = (u T k Au k)=(u T k u k). Let the exact eigenvector with the smallest eigenvalue of A be u, and
Performance Analysis of MMSE-Based Amplify and Forward Spatial Multiplexing MIMO Relaying Systems

In this paper, we propose a general framework to quantify the average error probability of the minimum mean squared error based precoding schemes in amplify-and-forward relay networks where all nodes are equipped with multiple antennas. Especially, we investigate spatial multiplexing schemes which transmit multiple data streams simultaneously. Due to difficulty in finding an exact expression of the average error rate, we exploit the high signal-to-noise-ratio (SNR) based approach which allows a simple and accurate characterization of the performance. Then, we derive new closed form expressions for bit error rate performance of both the optimal source-relay joint precoding schemes and the optimal relay only precoding schemes in terms of a coding gain as well as a diversity gain. Taking a different pathloss in each hop into consideration, we evaluate the performance in a generalized environment. Through our analysis, we discuss several interesting observations and provide a helpful guideline for designing MMSE-based relaying systems. Monte-Carlo simulations show that our analytical work accurately predicts numerical results.
A Transmitter System-in-Package at 300 GHz With an Off-Chip Antenna and GaAs-Based MMICs

This paper presents a novel transmitter system for applications operating in the frequency region around 300 GHz. A relatively simple packaging approach is taken, allowing for a variety of integrated or embedded applications. This paper presents a multilayered stacked patch antenna on quartz with a dielectric lens, functioning in tandem with a GaAs-based multiplier chain. When operating, an input signal between 7.8 and 8.6 GHz is multiplied 36 times to a frequency range between 280 and 310 GHz, via two in-house fabricated GaAs-based monolithic microwave integrated circuits (MMICs). The antenna is fabricated on quartz wafers via an in-house process. Both, the MMICs and the antenna, are placed on a printed circuit board. A high-density polyethylene lens encloses the system-in-package (SiP), with a footprint of 1 cm$^{2}$. The SiP has a center frequency of 300 GHz and an absolute pattern bandwidth of 21 GHz. The measured antenna gain along the broadside is 23 dBi, which corresponds to an equivalent isotropic radiated power of 20 dBm. This is achieved with 0.3 W power consumption. The design, simulation, and the analysis are performed via an electromagnetic simulation and modeling tool (Computer Simulation Technology Microwave Studio). Both, separate measurement data for the individual parts of the SiP and complete system experimental characterization are included in this paper.
A Novel Fault-Tolerant Converter Topology for Induction Motor Drive

This paper presents a novel fault-tolerant converter topology for a three phase induction motor drive to maintain normal operation under various fault conditions. This proposed topology uses a two-level VSI with a storage capacitor at its input terminals and an additional capacitor between the motor faulty phase and negative input terminal of the inverter. As the proposed topology uses a single dc-link capacitor, the DC voltage balancing issues associated with split capacitor topology is eliminated. Modelling and analysis of the proposed topology is explained and performance is observed using Matlab/Simulink and results are compared with the conventional fault-tolerant topology.
The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects

The recent development of big data analytics (BDA) and the Internet of Things (IoT) technologies create a huge opportunity for both disaster management systems and disaster-related authorities (emergency responders, police, public health, and fire departments) to acquire state-of-the-art assistance and improved insights for accurate and timely decision-making. The motivation behind this research is to pave the way for effective utilization of the available opportunities that the BDA and IoT collaboratively offer to predict, understand and monitor disaster situations. Most of the conventional disaster management systems lack the support for multiple new data sources and real-time big data processing tools that can assist decision makers with quick and accurate results. This paper highlights the importance of BDA and IoT for disaster management and investigates recent studies directed towards the same. We classify a thematic taxonomy with several related attributes and inspect the prevalent solutions to propose a conceptual reference model for the deployment of BDA- and IoT-based disaster management environments. The reference model with its proposed integrated parameters can provide guidelines to harvest, transmit, manage, and analyze disaster data from various data sources to deliver updated and valuable information for disaster management. We also enumerate some important use cases from a disaster management perspective. Finally, we highlight the main research challenges that need to be addressed in such an important field of research.
Improved Internal Model Control based Closed Loop Controller Design for Second Order Piezoelectric System with Dead Time

Precision control and positioning of devices at nanometer level have become ubiquitous in several industrial applications. Piezoelectric actuators offer flagship performance in this domain with its capability to actuate with resolution up to fraction of diameter of an atom. With important advantages like high accuracy, rapid response, high torque, compact form-factor they are being used several ultra-precise mechatronic systems. However, its performance is effected by severe nonlinearities, mostly hysteresis which needs to be tacked by proper controller design along with suitable plant model. This research first mathematically models the piezoelectric actuator as a second order plant using Dahl model for hysteresis. Parameters of the plant and nonlinear hysteretic term are experimentally identified using a commercially available piezoelectric actuator. An improved Internal Model Control approach is then explored which has a simpler structure than conventional IMC. As PID control is the most widely used control regime for practical usage, the research also presents an equivalent PID structure of the controller. The presence of system dead time has been considered and approximated using zero order ‘Pade’ approximation. Results suggest an improvement in the controller response over a traditional control in terms of step response, impulse disturbance as well as noisy environment.
2-DOF Controlled Interleaved DC/DC Converter Operating in CCM Using Characteristic Ratio Assignment for Green Energy Source

This paper presents closed loop operation of Inter-leaved boost converter using 2-Degree of Freedom (2-DOF) with characteristic ratio assignment to achieve desired characteristics at high switching frequency. In two 2-DOF control configuration the forward and the feedback paths are independently controlled to achieve the desired set point response and to eliminate the disturbance. The closed loop DC-DC PWM Interleaved boost converter with the 2-DOF PID controller are studied and analytical expressions of controllers are derived by specifying to desired closed-loop transfer function using characteristic ratio assignment (CRA). From the transfer functions of boost converter using an linear averaged circuit small-signal model with 2-DOF PID controller we have achieved very good set point response, and that it provides better performance over simple PID controller in terms of faster rise time and disturbance rejection. The proposed design method for boost converter demonstrate better performance.
Forward Scattering Measurement Based on Terahertz Microwave Interferometer on KTX Reversed Field Pinch

Electron density fluctuation has been measured based on the collect forward scattering method using a single-chord microwave interferometer system on the Keda Torus eXperiment (KTX) reversed field pinch. The interferometer system is a heterodyne one with two terahertz solid-state sources with frequency around 650 GHz, and the transmitted beam and forward scattering beam are received simultaneously by a Schottky planar diode mixer with sensitivity about 500 mV/mW. Constrained by the beamwidth and geometry limitation, the measurable wave vector range is <inline-formula> <tex-math notation="LaTeX">$k_{w}\le 5 {\mathrm {cm}}^{-1}$ </tex-math></inline-formula> with a resolution <inline-formula> <tex-math notation="LaTeX">$\Delta k\approx 2.07\,{\mathrm {cm}}^{-1}$ </tex-math></inline-formula>. MHD activities are detected via this forward scattering technique. The results are consistent with other diagnostics, such as the chord averaged electron density, the edge magnetic probe, and high-speed charge-coupled device (CCD) camera.
A Novel Hybrid Quasi Z-Source Based T-Type Seven-Level Inverter

This paper presents a new structure of Hybrid Quasi Z-source based T-type seven-level inverter for renewable applications. The proposed topology comprises of three quasi Z-source based impedance networks cascaded with a T-type seven-level inverter structure consisting of H-bridge and bidirectional switches. The bidirectional switches operate at high frequency and are utilized for level generation. Only two switches in the H-bridge are utilized for shoot-through insertion, while the other two switches operate at the fundamental frequency. The proposed switching scheme along with the different operating modes are addressed for each level generation and the simulation is carried out in Matlab software to verify the performance. An experimental setup is also developed to validate the simulation results. Further, the merits of the proposed topology are highlighted with the comparison of recently proposed topologies.
A column-oriented data stream engine

This paper introduces the DataCell, a data stream management system designed as a seamless integration of continuous queries based on bulk event processing in an SQL software stack. The continuous stream queries are based on a predicate-window, called “basket” expressions, which support arbitrary complex SQL subqueries including, but not limited to, temporal and sequence constraints. The DataCell is designed for bulk event processing to capitalize proven relational column-store database technology to achieve efficient resource utilization. It is implemented on top of an open-source DBMS. In this work we describe in detail the DataCell architecture, its data model, and its processing scheme. An analysis of the core algorithms provides an outlook on its performance in the envisioned application domains.
Performance Enhancement of Synchronous Buck Converter using modified Dual mode Control Scheme

This paper presents a novel dual mode control scheme to enhance the performance of the synchronous buck converter (SBC). The SBC with this novel control strategy is capable of operating satisfactorily in continuous and discontinuous mode under different loading conditions. The proposed control scheme employs a new switching technique termed quasi-resonant valley to turn on switches when operating in discontinuous mode. The proposed control scheme with the switching technique also ensures zero voltage switching without any auxiliary devices. It also improves the efficiency when compared with the conventional pulse width modulation control scheme. It is also promising with the view point of low cost and built-in integrated circuits. The MatLAb simulation results offer useful information to obtain the desired output under different modes of operation. Experimental results are also provided to validate the simulation results.
Adapting data-intensive workloads to generic allocation policies in cloud infrastructures

Resource allocation policies in public Clouds are today largely agnostic to requirements that distributed applications have from their underlying infrastructure. As a result, assumptions about data-center topology that are built-into distributed data-intensive applications are often violated, impacting performance and availability goals. In this paper we describe a management system that discovers a limited amount of information about Cloud allocation decisions - in particular VMs of the same user that are collocated on a physical machine - so that data-intensive applications can adapt to those decisions and achieve their goals. Our distributed discovery process is based on either application-level techniques (measurements) or a novel lightweight and privacy-preserving Cloud management API proposed in this paper. Using the distributed Hadoop file system as a case study we show that VM collocation in a Cloud setup occurs in commercial platforms and that our methodologies can handle its impact in an effective, practical, and scalable manner.
A New Externally Worn Proxy-Based Protector for Non-Secure Wireless Implantable Medical Devices: Security Jacket

Wireless transmission systems of implantable medical devices (IMDs) should be secure against eavesdroppers and adversaries because of patient rights and health. This paper focuses on full-duplex secure communication of wireless IMD systems, proposing a new protector that is compatible with existing unsecure systems. This new protector is an externally worn jacket and therefore called a security jacket. Because some advanced sensors are placed on the jacket to provide physical layer security. Randomly multi-jamming with a great number of sensors is applied when IMD transmission occurs with the jamming extraction and maximum ratio combining (MRC) reception simultaneously. When reception by IMD is performed, a randomized spoofing-based transmit beamforming technique is applied. This protector also supports higher power efficiency and longer battery life.
Uniform All-Integer Quantization for Irregular LDPC Decoder

In this paper, we present a uniform all-integer quantization for irregular LDPC decoder. The LLR values at the variable nodes and the check nodes are mapped to integer with their integer part of their value directly. Variable nodes are quantized to 6-bit integer and check nodes are quantized to 4-bit integer after the input channel messages are scaled up, and at a given iteration number the messages are scaled down. A lookup table is used to store the configuration parameters for quantization, and the hardware architecture of quantization is proposed. Simulations of (3048,7493) show the performance is better than the floating point in normalized min-sum and close to floating point in offset min-sum. The uniform all-integer quantization is easy to be implemented and does not require the floating point operations and so reduces the hardware complexity and lower power.
Comparative Study Of Control Methods for Power Quality Improvement of Autonomous 4-Leg Inverters

Comparative study of the methods for controlling a stand-alone voltage source inverter with a fourth leg (4-leg VSI) based on scalar pulse width modulation (PWM) and Finite control set model predictive control (FCS-MPC) as part of an autonomous power supply system are presented. The main purpose is to control 4-Leg VSI to provide balanced load voltage with lower total harmonic distortion. The discrete-time model of the autonomous 4-Leg VSI with output LC filter is pointed out for predicting the output voltage at a varying load. The PID controller is employed to provide the control reference signal for the PWM. The performances of the two control methods in tracking the load voltage under steady state and transient conditions are analyzed.
Issuer Surplus and the Partial Adjustment of IPO Prices To Public Information

This study develops and tests a theoretical rationale for the well-documented fact that IPO prices are revised only partially in response to waiting-period market returns. Rational issuers maximize the expected surplus from going public by weighing the probability of deal success against offer proceeds conditional on success. A rise in market valuations during the waiting period increases surplus, causing the issuer to seek a higher success probability. This is achieved by only partially revising the offer price. In addition to explaining other stylized facts; including unconditional underpricing and hot issues markets, several predictions of the model are born out in new empirical tests. For example, the predicted relation between withdrawal probability and waiting-period market returns leads to a sample truncation bias in empirical analyses of IPO pricing. When that bias is taken into account, the often-cited asymmetric response of offer prices to up versus down market returns disappears.
The Role of Actin in Spindle Orientation Changes during the Saccharomyces cerevisiae Cell Cycle

In the budding yeast Saccharomyces cerevisiae, the mitotic spindle must align along the mother-bud axis to accurately partition the sister chromatids into daughter cells. Previous studies showed that spindle orientation required both astral microtubules and the actin cytoskeleton. We now report that maintenance of correct spindle orientation does not depend on F-actin during G2/M phase of the cell cycle. Depolymerization of F-actin using Latrunculin-A did not perturb spindle orientation after this stage. Even an early step in spindle orientation, the migration of the spindle pole body (SPB), became actin-independent if it was delayed until late in the cell cycle. Early in the cell cycle, both SPB migration and spindle orientation were very sensitive to perturbation of F-actin. Selective disruption of actin cables using a conditional tropomyosin double-mutant also led to de- fects in spindle orientation, even though cortical actin patches were still polarized. This suggests that actin cables are important for either guiding astral microtubules into the bud or anchoring them in the bud. In addition, F-actin was required early in the cell cycle for the development of the actin-independent spindle orientation capability later in the cell cycle. Finally, neither SPB migration nor the switch from actin-dependent to actin-independent spindle behavior required B-type cyclins.