Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Frequency-Domain Approach for the Exact Range of Imaginary Spectra and the Stability Analysis of LTI Systems With Two Delays

This paper presents a novel frequency-domain approach to reveal the exact range of the imaginary spectra and the stability of linear time-invariant systems with two delays. First, an exact relation, i.e., the Rekasius substitution, is used to replace the exponential term caused by the delays in order to transform the transcendental characteristic equation to a quasi-polynomial. Second, this quasi-polynomial is uniquely tackled by our proposed Dixon resultant and discriminant theory, leading to the elimination of delay-related elements and the revelation of the exact range of the frequency spectra of the original system of interest. Then, by sweeping the frequency over this obtained range, the stability switching curves are declared exhaustively. Last, we deploy the cluster treatment of characteristic roots (CTCR) paradigm to reveal the exact and complete stability map. The proposed methodologies are tested and verified by a numerical method called Quasi-Polynomial mapping-based Root finder (QPmR) over an example case.
The mHealth Applications Usability Evaluation Review

Smartphones are contributing to the improvement of healthcare information and services with the help of mHealth apps. Commercially available mHealth apps have drawn prominent public attention by providing improved medication adherence and efficient results, but some of the studies exist to support their use. Usability has become the main factor for the success or adoption of smartphone apps since it helps to organize the consistency for the users to achieve their goal in an easy and efficient way. This study aims to investigate the usability evaluation process of mHealth applications with the help of a Systematic Literature Review (SLR). Our findings show that the usability evaluation process can be more reliable and satisfactory by applying the mix-method approach. This study will encourage developers and researchers to design more effortless and usable applications for users, especially for older adults and novice users.
Simulation and Analysis of DSIM Speed Control System Supplied by Multi-Level Converter Using Fuzzy Logic Controller

The main objective of this paper is the simulation and analysis of a dual star induction machine (DSIM) with speed regulation using fuzzy logic controller (FLC). This drive system supplied by two voltage source multi-level converters (MLC) and controlled under indirect field oriented control (IFOC) technique. Furthermore, the multi-level converter is used to reduce the harmonic currents and torque pulsations. The FFT spectrum of the currents and output voltages is presented and analyzed to show the reduction of harmonics. So, they showed that the total harmonic distortion (THD) decreases as the number of levels increases. Moreover, a substantial reduction of the magnitude of the electromagnetic torque pulsations and stator currents rating is observed with the multi-level converter compared to the conventional converter.
Realization and Optimization of a New Inclined Plane Electro-Separator

Electrostatic separation of granular materials is a good and innovative solution for the recycling of plastic materials from waste of electrical and electronic equipment (WEEE). These WEEEs, which contain a wide variety of materials whose treatment and recycling require the development of new electrostatic separation technologies. This installation has allowed the separation of several plastic granular mixtures. The preliminary experiments were carried out to determine the influence of some parameters on the installation. With the help of these results, it was possible to model the separator produced by the design of experiments methodology, using MODDE 5.0 software, which allowed us to separate granular mixtures with maximum recoveries and high purity greater than 90%.
GPU-Based PSO For Bitmap Join Indexes Selection Problem In Data Warehouses

Data warehouses are very large databases and the crucial part of business intelligence. The performance of a data warehouse is an important aspect and its optimization is a difficult task. The emergence of the graphics processing unit (GPU) based computation in recent years has brought a potential in a range of scientific applications. The usage of GPUs in databases technologies, more precisely in the physical design phase, is a potential domain for optimization tasks. The Bitmap Join Indexes selection problem (BJISP) is important problem in physical design of data warehouse. The present work deal with a GPU-based parallel binary particle swarm optimization (GBPSO) method for solving the BJISP. Experiments have been done to show the efficiency of our contribution versus the best serial approach for solving the BJISP. Furthermore, scalability experiments were implemented to observe the behavior of the proposed method against the best comparable approach which is serial in nature. In all experiments, the GBPSO is found to be considerably more effective than the best competitor algorithm.
Physical Methods of Analysis of the Human Hair Properties

In solving various problems of medicine, in mathematical modeling of processes in the human body, it is necessary to know the physical parameters of biological tissues. In cosmetology and dermatology – the physical properties of the hair (diameter, density, heat capacity, thermal conductivity, optical parameters). Existing chemical methods allow to solve them, but with a large investment of time and costs. Therefore, the urgent problem is to develop cheaper and faster physical methods of analysis. Great opportunities for this have appeared with the development of computer methods for processing experimental data. This paper describes the proposed computer image processing methods for photos of human hair for measuring their diameter and colorimetric methods for measuring optical parameters – absorption and scattering of light.
A New Technique of Designing Low Power, Low Voltage MOS CML Circuits by using Modifications in the PDN

MOS Current Mode Logic (MCML) circuits are the basic elements in the designing of the logic gates and flip flops which are further used in designing of various digital circuits like memory, clock circuits, and registers. On the chips that involve mixed signal circuits, MCML logic circuits are highly preferred. In this paper, MCML circuits with low power consumption have been proposed by modifying the pull down network of the circuit. In the circuits, the Floating Gate Mosfet (FGMOS) and Dynamic Threshold Mosfet (DTMOS) transistors are used in place of the conventional MOS circuits. The FGMOS and DTMOS have modifiable threshold levels. Utilizing this property of the FGMOS and DTMOS, they have been employed in the CML circuits to lower the minimum voltage requirements and also the reduction of power consumption by FGMOS, using 180 nm Complementary Mosfet (CMOS) process parameters. The SPICE simulations are performed and the analysis is done for all the three circuits and the comparisons are drawn. We observe a lower supply voltage requirement in the proposed circuits and the power consumption is decreased by 30% in the FGMOS circuit, making it more suitable for low power circuits.
Delay-Dependent stability conditions for a line-tracking on a touch panel model

The purpose of this paper is to study the stability of a line-tracking on a touch panel model involving several timedelays in the state. The proposed stability criteria are expressed in time domain as linear matrix inequalities. Some parameter-related stability conditions are given for the system without time delays. Numerical examples with simulations show the efficiency of the proposed conditions.
Experimental Verification and 2D Equivalent Analysis Techniques of BLDC Motor With Permanent Magnet Overhang and Housing-Integrated Rotor Core

This paper proposes 2D equivalent analysis techniques for BLDC motors with 3D structures that are permanent magnet (PM) overhang and housing-integrated rotor core. These 3D structures require 3D analysis method for accuracy of analysis. However, being a time consuming process, 3D analysis method is not a suitable choice for initial motor design. In this paper, it is proposed that this limitation can be addressed by replacing 3D structures with 2D equivalent analysis techniques. First, PM overhang is corrected to have same magnetic energy as in 2D analysis model. Second, housing-integrated rotor core is corrected to consider magnetic flux in radial direction. Finally, the 2D equivalent analysis techniques is validated by comparing experimental results of electromagnetic performance with corrected and uncorrected 2D analysis models.
Fluctuations of the spectrum of symmetrically deformed unitary invariant random matrix ensemble

We consider an ensemble of n × n Hermitian random matrices being a generalization of the additive and multiplicative deformed unitary invariant ensembles. We express the limiting normalized counting measure (NCM) of eigenvalues via the NCMs of operands, obtain explicitely the leading term of the asymptotic n−1-expansion of the covariance of traces of resolvents of the ensemble and prove the central limit theorem for sufficiently smooth linear eigenvalue statistics as n tends to infinity.
3-D Beamforming Wideband Antenna for 5G Application

In this paper we have designed a wideband 5G antenna for 28 GHz band, which can be used to implement a 3-D beamforming array for small-cell base-station modules. 3-D beam steering is needed to cover a wide area of smart user devices with a high data rate up to 10s of Gbps. The antenna is formed on a multi-layered substrate where two different types of substrate used are liquid crystal polymer (LCP) as main substrate and Megtron-6 as a support substrate along with adhesive substrate to glue these layers after metal processing. The antenna is constructed by two-dimensionally arrayed elements consisting of two patches and the beamforming function is realized by individually feeding to each element. By optimizing the dimensions of the patch a bandwidth up to 4.25 GHz has be obtained. The antenna can steer the broadside beam $\pm 50\deg$ in azimuth plane and $\pm 20\deg$ in elevation plane with a peak gain of 19.5 dBi for array size of $4\times 4$.
A Q-Network Based Terrain-Following Method for Aircrafts

The ability of terrain following supports aircrafts to break through enemy’s defense in low-altitude penetration missions, and many researchers have proposed their own terrain-following algorithms. However, because of the unknown environment and computational complexity, it is difficult to apply these approaches in real world. A Q-Network based self-learning terrain-following method is presented in this paper, which combines reinforcement learning and neural network, enabling aircrafts to make decisions online with raw sensor data. Besides, heuristic information is also used to improve the traditional $\epsilon$-greedy policy, which makes a better balance between exploration and exploitation. At last, simulation illustrates the effectiveness of this method.
Mechanisms of Immunocorrective Action of Complex Treatment Using Photodynamic, Cell and Tissue Therapy in Patients with Purulent Wounds of The Lower Extremities

It was shown that the combined use of photodynamic therapy of different wavelengths (red λ = 660 nm, green = 530 nm, blue λ = 440 nm), hematopoietic stem cells and platelet growth factor is an effective treatment for purulent-septic complications, which can be considered as a new technology for correcting afferent and efferent immunoreactivity in patients with chronic purulent wounds that are not susceptible to antibiotic therapy.
Differentially Proximity-coupled Circular Ring-shaped Array Antenna with Improved Radiation Characteristic

One of important parameters in array antenna is radiation characteristic which can be satisfied by implementing several design techniques. In this paper, by utilizing differentially proximity-coupled feeding technique, a circular ring-shaped array antenna is designed with improved radiation pattern characteristics. The proposed array antenna consists of 20 circular ring-shaped antenna elements arranged in 4 $\times$ 5 array. Differentially proximity-coupled feeding technique applied for each antenna element is aimed to have symmetrical radiation pattern. The array antenna which is designed to work at the frequency of 1.275 GHz for L-band frequency application is implemented using two layers of FR4 epoxy dielectric substrate with the total dimension of 199.3 mm $\times$ 189.5 mm. The characterization result shows that the proposed array antenna has good impedance matching with the reflection coefficient $(S_{11})$ of −21.65 dB and −10 dB impedance bandwidth of 80 MHz (1.21 GHz to 1.29 GHz). Meanwhile, a symmetrical radiation pattern at $E-$ plane is achieved with the half power beamwidth (HPBW) of 43°.
An Anti-interference Algorithm of Material Identification Based on X-ray

To prevent the influence of interference which reduces the accuracy of material identification, a novel material identification algorithm combining dual-energy X-ray and image processing is proposed. Firstly, the low-energy image is used to discriminate the target part and the background part that includes two parts: Canny edge detection and edge-based image binarization. Secondly, fuse the information of the low-energy image and the high-energy image to judging the kind of substance. According to the character of X-ray, interference mainly affects the value of background region points in the high-energy image. Thus, most of the mistaken identifications occur in this part. Combined with the division result, the proposed algorithm sets the background region without object and only calculates the R-value of the target part by which the algorithm could reduce the influence of interference compared with the existing ones. Simulation results show that the algorithm is effective.
A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease

Coronary arteriongraphy (CAG) is an accurate invasive technique for the diagnosis of coronary heart disease (CHD). However, its invasive procedure is not appropriate for the detection of CHD in the annual physical examination. With the successful application of machine learning (ML) in various fields, our goal is to perform selective integration of multiple ML algorithms and verify the validity of feature selection methods with personal clinical information commonly seen in the annual physical examination. In this study, a two level stacking based model is designed in which level 1 is base-level and level 2 is meta-level. The predictions of base-level classifiers is selected as the input of meta-level. The pearson correlation coefficient and maximum information coefficient are first calculated to find the classifier with the lowest correlation. Then enumeration algorithm is used to find the best combining classifiers which acquire the best result in the end. The Z-Alizadeh Sani CHD dataset which we use consists of 303 cases verified by CAG. Experimental results demonstrate that the proposed model obtains an accuracy, sensitivity and specificity of 95.43%, 95.84%, 94.44%, respectively for the detection of CHD. The proposed method can effectively aid clinicians to detect those with normal coronary arteries from those with CHD.
Substrate Integrated Suspended Line (SISL) to Substrate Integrated Waveguide (SIW) Interconnect at 28 GHz Band

This paper describes the design of a substrate integrated suspended line (SISL) to substrate integrated waveguide (SIW) transition. This transition is broadband covering the frequency range of 24– 34GHz. The simulated in-band insertion loss is below 2. 5dB while the return loss is less than 20dB. In a back-to-back arrangement, the return loss reduces to 15 dB and insertion loss increases to 4.1 dB.
Nonlinear waves of the internal medium due to dynamic loading of bi-continuum

The influence of internal hydrogen in metals is modeled using a bi-continual model. The internal medium is introduced in the bi-continuum for modeling the diffusion of mobile hydrogen. Study of the model equations was carried out under the assumption of a small fluctuation of the concentration of mobile hydrogen under the action of external mechanical load. The case of appearance of the nonlinear solitary waves exceeding the average concentration is considered. The conditions are obtained under which the appearance of a decaying solitary wave is possible.
Design and Development of DSP Interfaces and Algorithm for FMCW Radar Altimeter

The paper presents the design and development of signal processing algorithm for Frequency Modulated Continuous Wave Radar Altimeter with a wide dynamic range of altitude for the application of aerial weapons. The wide dynamic range of altitude is achieved by making use of varying sweep rates. To entitle “on the fly” fast reconfiguration of waveform parameters by FPGA, a high-speed DDS based implementation has been utilized which ensures fast sweep waveform generation with different sweep rates for different altitude zones. The presented scheme is designed at reducing the beat frequency bandwidth particularly for the applications of wide altitude range measurement which thusly leads to better sensitivity. To evaluate and validate the performance of the radar altimeter in real-time, the airborne test setup has been created along with a GPS system to ensure the proper functioning of radar altimeter.
Multiband Microwave Metamaterials Based on Optimized Arrangements of Split-Ring Resonators

We present design and accurate simulations of multiband metamaterials that consist of three-dimensional arrangements of split-ring resonators (SRRs). In order to obtain multiband characteristics with resonances at multiple frequencies, SRRs with different sizes are arranged in well-designed grids. As opposed to unit cells with nested SRRs that are commonly used in the literature, using different-sized SRRs in array forms provide better flexibility in choosing resonance frequencies. On the other hand, strong interactions between SRRs may significantly deteriorate the quality of resonances, particularly inter-resonance transparencies. We consider all geometric parameters, i.e., sizes, distances, and numbers of SRRs, in order to design highperformance configurations with excellent transmission properties. Selected designs are further fabricated via low-cost inkjet printing to demonstrate their performances in measurement setups.
OFDM-based 25Gbps Wireless Backhaul System for 5G Convergence Service

In order to provide backhaul link wirelessly for emerging convergence services, we develop an OFDM-based backhaul system operating in the E-band channel. Firstly, we make our own backhaul specification considering the E band channel in which the proposed backhaul system operates, where LDPC, 1024-QAM and 2-stream transmission using dual polarizations are adopted. Based on the specification, we simulate the PER performance on AWGN and modified 3GPP channel environment respectively and implement the backhaul system on FPGA (Xilinx Virtex UltraScale xcvu440). To compensate the RF impairments, several baseband signal processing techniques such as phase tracking, IQ balancing and XPIC are used. The backhaul system we develop can support up to 25Gbps throughput in a 2GHz channel bandwidth.
Abstract 2345: The collagen-dense tumor microenvironment increases neutrophil recruitment in mouse mammary carcinoma

Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA The breast tumor microenvironment (TME) is a diverse area where complex interactions between the extra-cellular matrix (ECM) and multiple cell types (tumor epithelial, endothelial, and inflammatory cells, fibroblasts, and adipocytes) occur resulting in tumor promotion, invasion and metastasis. Changes in breast tissue density have been correlated with a 4-6-fold increased risk for developing breast cancer, and are associated with increased stromal deposition of the ECM protein, collagen I. In a transgenic mouse model of increased collagen (Col1A1Tm1Jae), there is a 3-fold increase in MMTV-PyMT tumor formation and lung metastases compared to control mice. Of the non-malignant cells in the TME, tumor-associated macrophages (TAMs) and tumor-associated neutrophils (TANs) have been shown by several investigators to alter the TME and ECM, enhance tumor cell migration and invasion, stimulate angiogenesis, and suppress antitumor immunity. The direct interaction of both increased collagen and immune (myeloid) cell recruitment leading to increased cancer progression and metastasis has not been characterized. We hypothesized that a collagen-dense tumor microenvironment recruits an abnormal population of myeloid cells, which promotes tumor progression and metastasis. Flow cytometry analysis of cells from collagen-dense mouse tumors showed an increase in Ly6G+ TAN recruitment compared to wild type tumors, while TAM recruitment did not seem to be affected. The increased Ly6G+ neutrophil recruitment is a global immune response also observed in the spleens and circulating blood. Using a cytokine/chemokine ELISA plate array, we found that the collagen-dense TME cytokine cross talk supports neutrophil and monocyte recruitment and maturation. In addition, many classic inflammatory signals that support lymphocyte recruitment and activation, B and T-cell proliferation, and natural killer cell and monocyte activation are downregulated in the collagen-dense TME. Further experiments will determine the time point where neutrophil recruitment is critical for tumor progression. Experiments are underway to study the possible suppression of natural killer cell activity in the collagen-dense TME. This work is being supported by NIH grants (NIH-CA-114462 and NIH-U54-CA163131) to P.J.K. and NSF Graduate Research Fellowship (2011129283) to M.G. G.M. Citation Format: Maria Gracia Garcia Mendoza, David Inman, Suzanne M. Ponik, Patricia J. Keely. The collagen-dense tumor microenvironment increases neutrophil recruitment in mouse mammary carcinoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2345. doi:10.1158/1538-7445.AM2015-2345
Thermal Annealing Free Radicals in γ-Irradiated KDP and DKDP Crystals

Electron paramagnetic resonance (EPR) investigation of the γ-irradiated crystals of potassium dihydrogen phosphate (KH2PO4, KDP) and its deuterated analogue (KD2PO4, DKDP) is carried out. It is found that γ-irradiation leads to the formation of the thermally stable impurity arsenic-centered and intrinsic phosphorus-containing free radicals. Thermal annealing of the crystals in the temperature range of 90-160°C has been conducted. It is established that the thermal stability of the intrinsic defects is higher in comparison with the impurity ones. The nature of the phosphorus-containing free radicals is discussed.
Constrained Hopping Traversability Analysis on Non-Uniform Polygonal Chains

We analyze the existence of constrained ballistic hopping paths on a nonuniform polygonal chain. This analysis has practical significance in constrained path planning applications for jumping robots where robot dynamic constraints, uneven surface structure, and non-uniform surface properties are considered. We derive closed-form conditions to satisfy i) damage-free robot landing ii) non-sliding of the robot iii) actuator saturation, and iv) intermediate terrain avoidance constraints. Using the closed-form conditions, we propose a traversability algorithm to determine the path existence between two given points on the polygonal chain. Correspondingly, a path generation approach is discussed to generate an optimal constrained hopping path with minimum number of intermediate hops and least take-off speed per hop. Applicability and viability of the proposed algorithms are demonstrated through computer simulations in a realistic terrain scenario with robot jumping motion uncertainties and disturbances.