Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Balance Control in Patients with Idiopathic Parkinson’s Disease Using Tetra-ataxiometric Posturography

Objective: To investigate the postural stability of patients with mild to moderate stage of idiopathic parkinson's disease (IPD) using Tetra-ataxiometric posturography (Tetrax) and to evaluate the correlation between balance and activity of daily living (ADL). Method: Twenty patients with IPD at mild to moderate stage, twenty young controls and twenty elderly controls were enrolled in this study. In order to evaluate postural stability, we checked stability index, fourier index, weight distribution index, synchronization index, and fall index at eight positions using Tetrax. We also assessed Berg Balance Scale, Postural Instability and Gait Difficulty (PIGD) score of Unified Parkinson Disease Rating Scale (UPDRS). In order to evaluate the correlation between balance and functional performance, the ADL score of UPDRS was checked in the patients with IPD. Results: The patients with IPD showed a significantly higher fall index, weight distribution indices in five positions than the elderly controls. The stability indices of the patients with IPD were higher in all positions, but significantly higher in only one position than the elderly controls. The fallers in the IPD patients had a higher fall index and lower synchronization indices than the non-fallers. The balance and functional performance showed significant correlations in the IPD patients. Conclusion: We could identify a high falling risk and uneven weight distribution in the IPD patients and a close correlation between balance and functional performance. Therefore the evaluation of postural stability should be considered from mild stage because postural instability might impair activity of daily living and increase fall risk.
A Dual-Cameras-Based Driver Gaze Mapping System With an Application on Non-Driving Activities Monitoring

Characterisation of the driver’s non-driving activities (NDAs) is of great importance to the design of the take-over control strategy in Level 3 automation. Gaze estimation is a typical approach to monitor the driver’s behaviour since the eye gaze is normally engaged with the human activities. However, current eye gaze tracking techniques are either costly or intrusive which limits their applicability in vehicles. This paper proposes a low-cost and non-intrusive dual-cameras based gaze mapping system that visualises the driver’s gaze using a heat map. The challenges introduced by complex head movement during NDAs and camera distortion are addressed by proposing a nonlinear polynomial model to establish the relationship between the face features and eye gaze on the simulated driver’s view. The Root Mean Square Error of this system in the in-vehicle experiment for the X and Y direction is 7.80±5.99 pixel and 4.64±3.47 pixel respectively with the image resolution of $1440 \times 1080$ pixels. This system is successfully demonstrated to evaluate three NDAs with visual attention. This technique, acting as a generic tool to monitor driver’s visual attention, will have wide applications on NDA characterisation for intelligent design of take over strategy and driving environment awareness for current and future automated vehicles.
Preparation and thermal properties study of HNIW/FOX-7 based high energy polymer bonded explosive (PBX) with low vulnerability to thermal stimulations

ABSTRACT For modern munitions, high energy explosives are expected to reduce vulnerability and improve safety. In this study, based on the formulation of PAX-11 (94 wt% HNIW, 2.4 wt% CAB, 3.6 wt% BDNPA/F), FOX-7 is used as a portion replacement for HNIW to decrease vulnerability. To further decrease mechanical sensitivities and prevent static electricity, 0.5 wt% graphite is added to the surface of PBXs. A series of HNIW/FOX-7 based polymer bonded explosives (PBXs) with different formulations are prepared and mechanical sensitivities, thermal stabilities, detonation velocities, and slow cook-offs are studied to evaluate the energy and hazard of these PBXs. Additionally, finite element numerical simulations are utilized to study the transient temperature distributions, ignition time and ignition locations of the PBX cylinders during slow cook-off. Based on the results of this study, we obtain a high energetic low vulnerable PBX formulation (54 wt% HNIW, 40 wt% FOX-7, 2.4 wt% CAB, 3.6 wt% BDNPA/F, 0.5 wt% additional graphite) that balances energy and vulnerability. This formulation passes the slow cook-off test and detonation velocity reaches 8776 m·s−1, which can be used in the warhead of the high explosive anti-tank cartridge.
Application of the statistical analysis methodology for photodegradation of methyl orange using a new nanocomposite containing modified TiO2 semiconductor with SnO2

ABSTRACT Pure anatase TiO2 nanoparticles and two kinds of TiO2–SnO2 nanocomposite with different amounts of SnO2 nanoparticles (A-S (1-1) and A-S (1-2)) are synthesised. The X-ray diffraction (XRD) pattern is used for the characterisation of the synthesised samples. The XRD results confirmed that synthesised TiO2 nanoparticles have an anatase structure and SnO2 nanoparticles possess a tetragonal structure. The results of TEM reveal that the particle size of the TiO2 nanoparticles is less than 30 nm. Meanwhile, the SnO2 nanoparticle is successfully introduced onto the outer surface of TiO2 nanoparticles. The variation in the removal efficiency of methyl orange as an organic pollutant with UV irradiation time, weight fraction of synthesised photocatalysts and pH is investigated. The obtained results confirm that the removal efficiency of methyl orange increases in respect of the UV irradiation time and weight fraction. In addition, it is observed that the highest and lowest removal efficiencies occur at pH = 3 and pH = 11, respectively. Meanwhile, the results reveal that the removal efficiency of methyl orange is enhanced in respect of the SnO2 nanoparticles content in the synthesised nanocomposite. The analysis of variance investigation reveals that all the main factors have a significant effect on the removal efficiency of pollutant. Meanwhile, the proposed models can accurately predict the variation of the removal efficiency with studied parameters.
Codesign of Differential-Drive CMOS Rectifier and Inductively Coupled Antenna for RF Harvesting

An effective codesign approach for harvesting systems is described in this article, which is based on a CMOS differential-drive rectifier and an inductively coupled loop (ICL) antenna. The proposed approach acts on both the rectifier and the antenna and aims at optimizing the system performance in terms of efficiency and input sensitivity for a given load specification. Moreover, a rectifier solution is also proposed to enhance the circuit performance by properly driving the transistor bulks without additional components. An RF harvesting system operating at 868 MHz was implemented, which is made up of an ICL antenna on FR-4 substrate and a rectifier fabricated in the 0.13-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS technology. Measurements in the anechoic chamber show an overall efficiency performance of 34% with an RF input power as low as −21.5 dBm while considering 2.4 V and 1 <inline-formula> <tex-math notation="LaTeX">$\mu \text{A}$ </tex-math></inline-formula> as load specifications.
Learning Heterogeneous Features Jointly: A Deep End-to-End Framework for Multi-Step Short-Term Wind Power Prediction

Leveraging multiple heterogeneous measurements to predict wind power has long been a challenging task in the electrical community. In this paper, a deep architecture incorporated with multitask learning and multimodal learning for wind power prediction, termed predictive stacked autoencoder (PSAE), is presented. PSAE is a unified framework integrating multiple stacked autoencoders (SAEs), one feature fusion layer, and one prediction terminal layer, which expands the architecture from two spatial dimensions, including the depth and width, compared to conventional prediction models. Initially, the SAEs at the bottom of PSAE extracted features from multiple kinds of measurements respectively. Following, the feature fusion layer encodes the high-order features extracted by different SAEs into a unified feature that is more informative and representative for wind power prediction. Finally, the prediction terminal layer functions as a regression machine which generates the predicted targets based on the fusion features. Trained in an end-to-end (E2E) manner, PSAE is capable of learning heterogeneous features jointly and achieving the prediction task of sequence-to-sequence (S2S). Experiments for multi-step short-term predictions are conducted on real-world data, and the results demonstrate the superiority of PSAE to prior methods.
Multipower-Level Hysteresis Control for the Class E DC–DC Converters

Featured with simple topology and easy realization of zero-voltage-switching, the Class E dc–dc converter is preferable for very high-frequency application. In this article, a multipower-level (MPL) hysteresis control is proposed for the Class E dc–dc converter, in which, multiple switching frequencies are selected for obtaining multiple input power levels, and the two adjacent input powers closest to the load power are chosen to synthesize the load power. Compared with the on–off control, which has only two input power levels, i.e., the input power in on mode and zero power in off mode, the MPL hysteresis control reduces the modulation frequency, and thus reducing the mode transition losses. Meanwhile, the conduction losses are also reduced. As a result, the efficiency of the converter is greatly improved. The parameters design and the switching frequencies selection for the Class E dc–dc converter with MPL hysteresis control are presented. Finally, a prototype of 10-W Class E dc–dc converter with 9–18 V input is fabricated and tested in the lab, and the experimental results are provided to verify the effectiveness of the proposed MPL hysteresis control scheme.
Minimizing Energy Loss by Coupling Optimization of Connection Topology and Cable Cross-Section in Offshore Wind Farm

The cable cross section of an offshore wind farm power system is conventionally determined on the basis of the maximum current carrying capacity. However, this criterion cannot be matched and optimized with connection topology, which may lead to a large overall resistance level in the topology, thereby causing severe energy loss. In this pursuit, the present work envisages the establishment of a coupling optimization method of connection topology and cable cross-section planning for the first time. Based on this method, the power system of a small discrete wind farm is optimized and its results are compared with the results of the traditional design methods. The results indicate that an optimal matching of connection topology and cable cross section can be achieved using the proposed method. Besides, the optimal topology obtained uses more branches, and the large cross-section cables are reasonably used on the large-current cable segments, thus dramatically reducing the energy loss and minimizing the total cost of the power system. The proposed method is very versatile and suitable for the optimization of power systems containing any number of wind turbines and substations. Moreover, it can be combined with any evolutionary algorithm.
Physical Experiment and Modeling of the Transport and Deposition of Polydisperse Particles in Stormwater: Effects of a Depth-Dependent Initial Filter Coefficient

The artificial recharge of stormwater is an effective approach for replenishing aquifer and reduce urban waterlogging, but prone to clogging by suspended particles (SP) that are highly heterogeneously sized. In this paper, the transport and deposition of SP in a sand column were investigated under a constant flow condition, for five stormwater concentrations. A depth-dependent initial filter coefficient is incorporated into the conventional filtration model. This modified model considers the heterogeneity of the particle population by lumping the capture of heterogeneous SP into a capture probability. The good agreement between the results of the modified model and the experimental results of measured outlet concentration and average specific deposit validated the modified model. The experiment data and the simulation results both indicate that the highly hyper-exponential retention profiles are caused by non-uniform deposition of heterogeneous SP; and, the conventional model was found to homogenize the spatial distribution of SP retention and overestimate retention of the porous medium. Local and overall permeability reductions were assessed by an empirical relationship and the Kozeny-Carman model, respectively. It is shown that consideration of polydisperse suspended particles is of primary importance. This study highlights the effects of polydisperse particles on SP deposition in a saturated porous medium.
An Alternative Method to Estimate the Effective Energy During Pile Driving Based on Set and Elastic Rebound Records

Although the dynamic load test technique has been developed for a long time, it became very popular in Brazil over the last 20 years (especially after the publication of Brazilian standard NBR6122, in 2010). However, the site quality control of driven piles in respect to the resistant capacities remains with the practical application of the so-called “dynamic formulas”. Most of the established formulations use a key parameter of the driving event: the driving system efficiency, whose calibration is performed with dynamic monitoring. However, assuming a single value for the efficiency in order to extrapolate it to non-tested piles of the site requires a much more careful analysis of the test than that which has been carried out in practice. The aim of this paper is to discuss the issues involving the efficiency assessment based on the dynamic test and to propose an alternative method of estimating the effective energy during driving through measurements of set and elastic rebound. The method application was verified in comparison with 692 dynamic test records (526 in concrete and 166 in steel piles) of twelve sites spread across seven different locations in Brazil.
Orthorhombic molybdenum trioxide micro-planks as carbon monoxide gas sensor

Study was aimed at analyzing gas sensing properties of copper oxide doped molybdenum trioxide. Screen printing method was used to prepare thick films of five different weight percent of copper oxide. XRD confirmed that material consists pure alpha phase of ortho-rhombic molybdenum trioxide (JCPDS 21-0569). FE-SEM micrographs showed plank-like structure having all three dimension in microns. Hence authors used term micro-planks. EDS analysis showed that all sample were having excess oxygen. Electrical measurement showed n-type semiconductor behavior of films. TCR also showed negative values for all films. Resistivity of the films reduced from 80 Ω m to 25 Ω m as copper oxide percentage increased. Activation energy in high temperature region also decreased from 0.6 eV to 0.25 eV due to addition of copper oxide dopant. 9 Wt% copper added molybdenum trioxide films (Cu9) showed 74.87% response to carbon monoxide gas at 150 °C. Response time (80 s) and recovery time (110 s) was quick. The synergy between thermal energy, oxygen excess samples, the activity of micro-planks and catalytic property of copper oxide dopant accelerated the reduction of carbon monoxide. Hence selectivity to carbon monoxide gas as compared with NH3, NO2, Ethanol vapor and LPG improved due to copper oxide dopant.
Effect The Change in Bosons on The Properties of Xenon Isotopes

There are two kind of bosons: holes and particles depending on the nearest closed shell or middle closed shell for neutrons or protons. In this article, the kind of bosons for even-even Xe isotopes have been changed from holes to particles for mass number 132 to 140. Energy levels and electric transitions probability calculated in IBM-1 and IBM-2 models, and potential energy surface to determined the limit of these isotopes and the deformation in them. There are a good matching between two models and experimental data https://doi.org/10.24897/acn.64. 68.455
Low Reynolds number capture of small particles on a cylinder by diffusion, interception, and inertia at subcritical Stokes numbers: Numerical calculations, correlations, and small diffusivity asymptote

Abstract When the particle-to-target radius ratio R and the inverse Peclet number 1/P are small, particle capture by interception and diffusion by cylinders at low Reynolds numbers may be described via Friedlander’s single similarity parameter Π ≡ R·P1/3, in the full range 0 < Π < ∞. Particle inertia may substantially enhance this capture efficiency, even at subcritical Stokes numbers S < S*∼2. We have recently shown that this inertial enhancement is the product of an ‘outer’ function E(S) accounting for inertial particle concentration enrichment along the stagnation line, and an ‘inner’ function F(Π, S) describing particle transport near the target. F(Π,S) is first computed here over its full range, (0 < Π < ∞; 0 < S < S*) by numerically solving the corresponding diffusion equation, previously analyzed only in the limits Π = 0 and Π = ∞. Two PDE solvers used (pseudo-spectral orthogonal collocation method and Mathematica’s NDSolve statement) typically agree within 0.1%, with a 0.7% maximal difference. While the previously invoked “additive capture fraction” approximation is now seen to contain errors of up to –17%, new correlations are developed here with a maximum global error of ±0.7%. We also provide a detailed numerical and asymptotic description for the universal structure of the theoretically interesting limit Π → ∞, finding an unusual algebraic decay of the small diffusive contribution to the flux in the region upstream from the critical tangency angle. We use these results to compute the substantial inertial effects reducing the penetration of toxic aerosol fumes, or improving the recovery of valuable aerosol materials (e.g., noble metals and/or semiconductors) for submicron aerosol/carrier gas cases of: Pt(s)/N2(g) and Ge(s)/He(g). Copyright © 2019 American Association for Aerosol Research
Compact UWB Printed Slot Antenna with Three Extra Bands and WiMAX Rejection Functionality

A compact ultra-wideband (UWB) printed slot antenna with additional bands of 870–960 MHz, 1.67–1.84 GHz, 2.33–2.57 GHz for GSM-900, GSM-1800 and Bluetooth respectively along with WiMAX band rejection functionality at 3.27–4.02 GHz is presented for various wireless applications. A simple circular patch fed by a trapezoidal-shaped microstrip line is conceived to cover entire UWB (3–10.5 GHz). Three additional bands have been accommodated by incorporating two pairs of spider arm-shaped resonators at the top of the slotted ground. Coupling between the extended feed line and extended back resonator is used to acquire a stop band characteristic for the reduction of possible interference between WiMAX and UWB bands. Moreover, an arc-shaped resonator and a cross-shaped slot on the feed line are conceived to enhance the bandwidth of the UWB. The proposed design is simple in structure and compact with an overall dimension of 50 × 50 × 1.6 mm, hence length is only 0. 046λ with respect to the lower edge frequency (3 GHz) of the UWB. The simulated and measured results are in good agreement that ensures the potentiality of the proposed antenna structure for UWB and multiservice wireless applications.
Fast Charging Techniques And Material Specifications Requirement For Lithium Ion batteries Used In Electrical Vehicle: A Review

In todays world, the mobility of goods and people is its peak. To make this happen there are numerous vehicles which can deliver this service. In most recent trends, to avoid damage to the environment Electric Vehicles are extensively used. Tremendous amount of research is going on the field of Electric Vehicle such as Battery Types for improvement in overall performance, inclusion of other factors such as Ultra capacitors for betterment of overall performance, advancement in Brushless DC motors which will be more suitable to use in EVehicles. Many of research units have solved the issues related with the above topics. The more focus is to be given on the charging and discharging time for E Vehicles. In this paper, various charging discharging methods used for Lithium ion batteries are discussed. The methods such as constant current (CC) method, constant voltage (CV) method, constant current constant voltage method(CC-CV), constant temperature constant voltage method(CT-CV). Not only the Fast Charging methods will be sufficient to make real change in the Li-ion Batteries but also the materials that are used in these batteries should have the capacity to handle the fast charging. So, according to material properties and specifications the battery needs to be designed and as per fast charging methods suitable fast charging technique can be implemented to it.
Numerical enhancements of the microwave resonant cavity method for plasma diagnostics

Microwave resonator method is a well established and sensitive technique of plasma density measurements, especially in low pressure plasmas. The traditional Slater approximation of very small electromagnetic field perturbation is extended and corrected by a more accurate, yet relatively simple numerical model, also addressing further phenomena such as the resonator eigenmodes and the stability of the dominant mode. The presence of a discharge tube is found to be a main source of deviation from the Slater approximation. The pre-calculated numerical correction factors are directly applicable for a range of cavity and discharge tube geometries.
Optimization of Magnetic Field Focusing and Null Steering for Selective Wireless Power Transfer

Wireless power transfer (WPT) has recently emerged as a prominent technology to liberate various applications with small devices from limited mobility and design constraints. Among various techniques, magnetic field focusing (MFF) with multiple transmit (Tx) coils have been known as a powerful solution to enhance the efficiency of power transfer to multiple receivers (Rxs) in midrange WPT. However, in such MFF techniques, even unintended Rx may suffer from unwanted power due to leakage, which may disrupt the operations of the devices. Motivated by this issue, in this article, we consider selective magnetic resonance coupling (MRC)-based WPT, which enables WPT systems to better shape power distribution only focusing on the intended Rxs while leakages to the unintended Rx are suppressed. To this end, we first formulate the selectivity requirement of WPT as an optimization problem. Then, we propose a method to obtain the optimal Tx voltage vector for simultaneous MFF and null-steering optimization. Simulation and experimental results validate the theoretical analysis and the proposed method in practical scenarios.
Primary woman neuroendocrine breast tumor - case rePort and review of the literature

1Department of Oncology, Faculty of Medicine, University of Warmia and Mazury, Olsztyn, Poland Head of Department: prof. Sergiusz Nawrocki, MD, PhD 2Department of Surgical Oncology, Hospital Ministry of Internal Affairs with Warmia and Mazury Oncology Centre, Olsztyn, Poland Head of Department: Andrzej Lachowski, MD 3Department of Internal Diseases, Gastroenterology, Cardiology and Infectiology Faculty of Medicine, University of Warmia and Mazury, Olsztyn, Poland Head of Department: prof. Piotr Zaborowski, MD, PhD 4Department of Gynecology and Gynecologic Oncology, Hospital Ministry of Internal Affairs with Warmia and Mazury Oncology Centre, Olsztyn, Poland Head of Department: Leszek Frąckowiak, MD, PhD 5Department of Pathomorphology, Bialystok Oncology Centre, Poland Head of Department: prof. Waldemar Famulski, MD, PhD, DSc