Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Analysis of a Wideband Low-Scattering Endfire Antenna Using a Moth Tail-Inspired Metamaterial Absorber and a Surface Waveguide

This article presents a wideband endfire antenna codesigned with broadband low-scattering characteristics. The wideband reflection and endfire radiation attribute the success to the supported dual-resonance surface waves, and the broadband low scattering owes to the combination of a metamaterial absorber (MA) absorption and an incident penetration of a frequency-selective surface (FSS). Based on the transmission line model, a surface waveguide (SWG) which can support dual-resonance surface waves is adopted and analyzed to realize the wideband reflection response (4.95–6.83 GHz) and endfire radiation. Also, the SWG can be seen as an FSS for the normal incidence. In addition, a wideband MA, which is inspired by the luna moth’s escape from bat attack, is designed and integrated with the SWG to realize low back radar cross section (RCS) in the frequency range from 0.5 to 12.5 GHz. The reflection, radiation, and scattering performance are validated by the full-wave simulation and experimental verification.
Measure-Transformed Two-Sample Hotelling Test

In this paper, a new robust extension of the two-sample Hotelling test (HT) is developed. The proposed extension, called measure-transformed HT (MT-HT), operates by applying a transform to the probability measures of some reshaped versions of the two compared data sets. The considered measure transformation is structured by a non-negative data-weighting function, called MT-function. We show that proper selection of the involved MT-functions can lead to significant enhancement of the decision performance in the presence of heavy-tailed data. Simulation study illustrates the advantages of the proposed test compared to the two-sample HT and other robust extensions.
Current systemic treatment strategies for hidradenitis suppurativa

ABSTRACT Introduction: Hidradenitis suppurativa (HS) is a chronic, inflammatory, debilitating disease of a relapsing nature involving nodules, abscesses and suppurating lesions of intertriginous areas of the skin. Within recent years there has been a progress in terms of the treatment of hidradenitis suppurativa, nevertheless its therapy still remains limited with very few effective options. Areas covered: This article provides a review of current systemic treatment strategies used in patients with hidradenitis suppurativa – from well-established, traditional methods to new therapeutic alternatives with special focus on biological agents. Expert opinion: The etiology of hidradenitis suppurativa is still not clearly explained, but several factors seem to play a role such as genetics, smoking and obesity. Recent findings have specified that HS is a disease of the hair follicles with bacterial infection and apocrine glands involvement as secondary events. In HS treatment all known pathomechanisms underlying and responsible for development of skin lesions should be taken into account, including hyperkeratinization and occlusion of pilosebaceous unit, bacterial superinfection and extensive, chronic inflammatory response. Thus, retinoids, systemic antibiotics and biologics should be agents of special interest. Summarizing, pharmacological therapies are promising option for HS sufferers, especially in non-advanced cases.
Software Quality Metrics Calculations for Java Programming Learning Assistant System

A Web-based Java Programming Learning Assistant System (JPLAS) has been proposed to assist Java programming educations in universities. In the code writing problem, the correctness of an answer code from a student is verified by running the test code on JUnit. Besides, their quality should be measured using the metrics to assess them. The currently using plugin could only be measured on eclipse for offline answering in JPLAS. To calculate the metrics and implement in web-based JPLAS, there are several equations that have been reported. In this paper, we find the proper equations to calculate the metrics that provide the same results as from Eclipse plugin. The application results for 45 source codes showed that the adopted metrics equations provide the same results as the plugin.
A randomized discontinuation phase II trial of ridaforolimus in non-small cell lung cancer (NSCLC) patients with KRAS mutations.

7531 Background: Mutations in KRAS are present in ~25% of patients with advanced NSCLC. Preclinical data support the role of mammalian target of rapamycin (mTOR) in KRAS mediated oncogenesis. Ridaforolimus is an inhibitor of mTOR which has been shown to have efficacy in advanced endometrial cancer and soft tissue sarcoma. Everolimus, another mTOR inhibitor was previously evaluated in unselected patients with advanced NSCLC and found to have a response rate 30% tumor shrinkage remained on ridaforolimus and patients with >20% tumor growth discontinued treatm.
Flexible Multi-band Antenna for Body Area Wireless Sensor Networks

The microwave-based liquid sensors are indispensable techniques which can provide many advantages such as low cost, real time and label free for biological or chemical measurements. Metamaterials are well suitable for sensing applications due to the narrow spectral feature. A flexible plasmonic microfluidic sensor has been proposed to obtain a non-invasive measurement of different liquid solutions. The resonance frequency changes from 5.133 GHz to 5.006 GHz, with a frequency shift of 127 MHz, when the microfluidic channel is filled with deionized (DI) water.
Identification and Temperature Control for Thermal Model of a House Based on Model Predictive Control Tuned by Cuckoo Search Algorithm

This research demonstrates the designing of Model Predictive Controllers (MPCs) to control the temperature for thermal model of house. It also introduces an identified transfer model with a best fit criterion around 97%. In addition, a comparison study between Proportional Integral Controller (PI), Proportional Integral Derivative Controller (PID) Fractional Order PI (FOPI), Fractional Order PID (FOPID) and Model predictive Control (MPC) has been discussed in this research. Moreover, all the parameters of the suggested strategies have been tuned by Cuckoo Search Algorithm (CSA). In fact, heating systems in house buildings aim to control the indoor temperature. To realize this purpose, it is necessary to have suitable control strategies that could implement a precise temperature control. As a result a Simulink model is used to simulate the operation of temperature control and the suggested control approach. The obtained results depict that the performance evaluation includes rise, settling times, system overshoots, and Integral Time Absolute Error (IT AE) are the best values under applying MPC over using others controllers (traditional, fractional order and thermostat) controllers. As a result it can be concluded that the MPCs have the main concern of utilizing it in the area of control the thermal house temperature. Additionally, the introduced results are promising in this problem.
Localization Performance of 1-Bit Passive Radars in NB-IOT Applications

Location-based services form an important use-case in emerging narrowband Internet-of-Things (NB-IoT) networks. Critical to this offering is an accurate estimation of the location without overlaying the network with additional active sensors. The massive number of devices, low power requirement, and low bandwidths restrict the sampling rates of NB-IoT receivers. In this paper, we propose a novel low-complexity approach for NB-IoT target delay estimation in cases where one-bit analog-to-digital-converters (ADCs) are employed to sample the received radar signal instead of high-resolution ADCs. This problem has potential applications in the design of inexpensive NB-IoT radar and sensing devices. We formulate the target estimation as a multivariate fractional optimization problem and solve it via Lasserre's semi-definite program relaxation. Numerical experiments suggest feasibility of the proposed approach yielding high localization accuracy with a very low number of l-bit samples.
How to improve adherence to treatment among heart transplant recipients? Literature review and own experience

Wstęp: Przeszczepianie narządów jest skuteczną, uznaną i bezpieczną metodą leczenia schyłkowej niewydolności narządów. Celem transplantacji jest przedłużenie życia, poprawa jego jakości i powrót chorego do społeczeństwa. Brak adherencji u pacjentów po przeszczepieniu oscyluje w granicach od 5% do 70% (1 na 5 pacjentów). Z powodu braku adherencji wzrasta siedmiokrotnie prawdopodobieństwo niewydolności graftu, co jest trzecią główną przyczyną epizodów odrzucania przeszczepionego narządu. Cel pracy: Ocena przestrzegania zaleceń u chorych po przeszczepieniu serca (heart transplantation – HTX) na podstawie badań własnych oraz ocena interwencji pielęgniarskich wpływających na poprawę adherencji na podstawie literatury i doświadczeń własnych. Materiał i metody: Badanie przeprowadzono u 66 pacjentów (16 kobiet, 50 mężczyzn) w wieku 23–76 lat, od roku do 18 lat po HTX, w trakcie wizyt ambulatoryjnych i hospitalizacji na Oddziale Klinicznym Chirurgii Serca, Naczyń i Transplantologii Szpitala Jana Pawła II. Do oceny przestrzegania zaleceń wykorzystano kwestionariusz Morisky’ego podzielony na dwie części dotyczące stosowania leków immunosupresyjnych oraz innych leków. Wyniki: Ze zgromadzonych danych wynika, że 35% pacjentów przyznało, że zdarzyło się im zapomnieć zażyć leki immunosupresyjne, a 41% – inne leki; 3–6% vs 21,21–30,3% przerwało zalecone leczenie. Przegląd literatury i Evidence Based Nursing wskazuje na konieczność łączenia różnorodnych metod zwiększających adherencję. Interwencje podjęte przez pielęgniarkę: • ocena przyczyny niestosowania się do zaleceń, • dobranie formy i metod edukowania pacjentów, • promowanie samoopieki, • współpraca z lekarzem. Summary
An Eigenvector Detection Technique for Target Number Detection by A MIMO Array

The concept of multiple-input multiple-output (MIMO) array allows each sensor to transmit arbitrarily correlated waveforms to obtain waveform diversity gain and provide extra degrees of freedom unlike a traditional phased-array. In this paper, an eigenvector detection technique (EDT) for detecting the number of targets using a MIMO array (MIMO-EDT) is proposed and the detection performance of the proposed MIMO-EDT is compared with that of the phased-array EDT (PA-EDT). Simulation results show that when the target angles spacing grows greater than some value, the PA-EDT fails to detect the number of targets while the MIMO-EDT can still works well, and the MIMO-EDT is less sensitive to the reference angle than the PA-EDT. Moreover, the MIMO-EDT provides superior detection performance than the PA-EDT in all target angles spacing cases except when the echoes from much closely spaced targets for the phased-array are weakly correlated.
Beam-Steerable Antenna Array with Metasurface at Millimeter Wave Frequency Range

This work demonstrates a beam-steering antenna operating at 28 GHz, thus supporting millimeter wave (mm-wave) 5G applications. The proposed antenna configuration is composed of a bi-layered structure. The bottom layer consists of antenna elements with 2×2 Butler matrix (BM) based feed network used to excite the antennas as well as to steer the beam at different angles by introducing the phase difference between the two antenna elements. The bottom layer is modeled on Rogers RT5880 substrate with 0.254 mm thickness. The top layer is composed of metasurface consisting of a 4 × 4 square-ring element array designed on the Rogers RT5880 substrate with 0.508 mm thickness. The use of the metasurface in this work is to further enhance the scan angle of the proposed antenna. The presented antenna system acquires an operating bandwidth of 3.4 GHz ranging from 26.7−30.1 GHz. In addition, gain of 11.8 dBi and 7.8 dBi is demonstrated at 28 GHz for the butler matrix antenna without and with metasurface, respectively. The 2D radiation patterns exhibit beam steered at angles of ± 35° at the desired frequency. The analysis of the obtained results affirm the proposed beam steerable antenna array as a suitable contender for mm-wave 5G devices.
Dynamic Threshold for DDoS Mitigation in SDN Environment

Software-Defined Networking (SDN) is one of the key technologies of 5th generation mobile networks (5G). However, like the traditional network architecture, SDN is also vulnerable to the Distributed Denial of Service (DDoS) attack. This paper explores the dynamic threshold for DDoS attack in the SDN environment. Through the characteristics of SDN, we propose a feasible DDoS detection and defense mechanism. The proposed mechanism calculates the entropy of the network environment by the collected traffic status, and derives a dynamic threshold according to the network conditions to determine whether the environment is subject to DDoS attacks. In the event of a DDoS attack, the proposed mechanism discards the traffic from the malicious nodes to the victim nodes with a flow entry. In addition, if no DDoS attacks occur in the environment, the proposed system can disperse the traffic of the SDN switch, thereby balance the traffic load in the environment.
A New Group Decision Making Method With Distributed Indeterminacy Form Under Neutrosophic Environment: An Introduction to Neutrosophic Social Choice Theory

We present a novel social choice theory based multi-criteria decision making method under neutrosophic environment and a new form of truth representation of neutrosophic theory called Distributed Indeterminacy Form (DIF). Our hybrid method consists of classical methods and an aggregation operator used in social choice theory. In addition to this, we also use DIF function to provide a more sensitive indeterminacy approach towards accuracy functions. We also consider reciprocal property for all individuals. This provides, as in intuitionistic fuzzy decision making theory, a consistent decision making for each individual. The solution approach presented in this paper in group decision making is treated under neutrosophic individual preference relations. These new approaches seem to be more consistent with natural human behaviour, hence should be more plausible and feasible. Moreover, the use of a similar approach to develop some deeper soft degrees of consensus is outlined. Finally, we give a Python implementation of our work in the Appendix section.
FinFET Based Low Power Ring Oscillator Physical Unclonable Functions

Physical unclonable functions (PUFs) are promising hardware security primitives which are suitable for low power applications, such as the Internet of Thing (IoT). The Ring Oscillator (RO) PUF is one of the most reliable and strong PUFs. On the other hand, it consumes more power than others. The main aim of this paper is to propose a design for a low power RO-PUF. The proposed design is based on utilizing modules that consume less power than the conventional one. In the proposed design the frequency divider (FD) and the D-flipflop (DFF) are employed instead of the counters, the timer, and the comparator circuits. Evaluation results demonstrate that the proposed design can effectively reduce power consumption. The proposed PUF was designed using 20 nm FinFET technology. The proposed PUF consumes $\mathbf{264}\ \mu\mathbf{w}$ per challenge-response pair at supply voltage 0.9 V. The averaged reliability of the proposed design is 99.5%, over a range of temperature from -40 to 125°C and supply voltage from 0.8 V to 1 V. The proposed PUF decreases the power consumption while maintaining highperformance metrics.
Phase transition in the hard-margin support vector machines

This paper establishes a phase transition for convergence of the hard-margin support vector machines (SVM) in high dimensional and numerous data regime, drawn from a Gaussian mixture distribution. Particularly, we characterize the maximum number of training samples that the hard-margin SVM is capable of perfectly separating. Under the assumption that the number of training samples is less than this threshold, we provide a sharp characterization of the margin parameter and the classification error performance of the hard-margin SVM classifier. Our analysis, validated through a set of numerical experiments, is based on the convex Gaussian min-max framework.
A Power Efficient 500MHz Adder

This work presents novel 1-bit full adder and 1-bit half adder circuits. The adders primarily utilize pass transistor logic circuit techniques and achieve full voltage levels for the SUM and CARRY outputs. The 1-bit full adder uses only 16 transistors, and the half adder uses only 15 transistors. They are implemented in 2Snm CMOS technology and are able to achieve a fast delay by limiting the critical path to two stages. Under typical conditions and by using a 10fF load capacitance, the 1-bit full adder achieves a power-delay-product, PDP, of 0. 234fJ for the SUM output signal. This is less than half the PDP of the comparable 28-transistor static CMOS 1-bit full adder. Further, the area of the 1-bit full adder is 0.063 $\mu$m2 and was simulated in HSPICE using a 0.9 V supply voltage. Both the 1-bit full adder and 1-bit half adder circuits were used to build an 8-bit Carry Increment Adder, CIA. The 8-bit CIA adder is functional at 500MHz.
A Note On Operator-Level Query Execution Cost Modeling

External query execution cost modeling using query execution feedback has found its way in various database applications such as admission control and query scheduling. Existing techniques in general fall into two categories, plan-level cost modeling and operator-level cost modeling. It has been shown in the literature that operator-level cost modeling can often significantly outperform plan-level cost modeling. In this paper, we study operator-level cost modeling from a robustness perspective. We address two main challenges in practice regarding limited execution feedback (for certain operators) and mixed cost estimates due to the use of multiple cost modeling techniques. We propose a framework that deals with these issues and present a comprehensive analysis of this framework. We further provide a case study to demonstrate the efficacy of our framework in the context of index tuning, which is itself a new application of external cost modeling techniques.
Design of W-band Front End for Active Imaging System

As the key component which influence the performance of active imaging system, the front end should be comprehensively considered of its frequency, band width, output power, size and cost. In this paper, we utilize frequency conversion method to implement a low-cost W-band frontend for active imaging system. First, based on the theory of millimeter-wave frequency multiplication, frequency mixing and the precise modeling of planer Schottky barrier diode (SBD), we use co-simulation technique and adopt alumina ceramics substrate to implement a W-band frequency tripler and a sub-harmonic mixer. The tripler uses anti-parallel diode pair (APDP) as a no-linear device to form a balanced structure, and its harmonic suppression degree can reach more than 40dBc. The sub-harmonic mixer is a single-balance structure of branch type, achieving 9dB conversion loss from 88 ~ 104 GHz. The above devices are low cost and small dimension, and exhibit excellent in a millimeter-wave nondestructive evaluation system.
A DOA Estimation Method of coherent and uncorrelated sources based on Nested Arrays

This paper presents a novel way to estimate the DOA of coherent and uncorrelated sources for nested array. At first, by using the vectorization of the covariance matrix of the received data, the LASSO algorithm with a modified dictionary matrix based on compressed sensing is applied to estimate a vector containing all signal powers. Then, the estimated vector is reconstructed into the covariance matrix of coherent and uncorrelated sources. A peak searching to estimate DOAs can be performed by using the diagonal elements of this reconstructed matrix. In this presented method, the advantage of fully utilizing the degree of freedom of nested arrays is preserved. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.
Towards Millimeter-Wave Phased Array Circuits and Systems For Small Form Factor and Power Efficient 5G Mobile Devices

This paper discusses phased array system design issues for millimeter-wave circuits in 5G mobile devices. 5G technologies to enable extremely high data rates (10Gbps). , ultra-low latency (1msec), and massive number of devices (1M devices/km2) can support broad range of application spaces which have never been considered before. Directional beamforming by utilizing a phased array system in the millimeter-wave frequency ranges helps to improve system level efficiency providing spatial multiplexing capability. However. , beamforming requires multiple RF channels and antennas with phase and gain control circuitry. , which affects the radio form factor and degrades the performance due to the increased parasitic. Furthermore. , 5G millimeter-wave power amplifiers have to be inherently linear without digital calibration because multiple RF channels cause complex and time-consuming calibration procedures prohibited in commercial mobile products. Since there is a tradeoff between linearity and efficiency. , high efficiency in a millimeter-wave power amplifier cannot be achieved with CMOS only. Thus III-V devices and their monolithic integration with CMOS circuits are crucial for a small form factor and power efficient 5G mobile devices.
Joint Sparse Channel Estimation in Downlink NOMA System

Non-orthogonal multiple access (NOMA) is regarded as one of the most important techniques for future 5G systems. In the downlink general NOMA schemes, the received NOMA signal will be analyzed via two parallel channel state information (CSI) after sparse multiple path channel fading. In this paper, by exploiting the inherent sparsity of the channel, we proposed a low-complexity joint channel estimation in a single-input and multiple-output antennas system, based on the compressed sensing to detect each layer channel state information. As a comparison, the performance of compressed sensing is better than the conventional method Least-Square (LS) and Minimum Mean Square Error (MMSE).
Genetic polymorphisms in coagulation and fibrinolysis systems versus thromboembolic risk of estrogen-progestin therapies in women

Artyku3 stanowi przegl1d wiedzy na temat polimorfizmów genetycznych wystêpuj1cych w uk3adach krzepniêcia i fibrynolizy, maj1cych potencjalny wp3yw na ryzyko powik3añ zakrzepowo-zatorowych doustnej antykoncepcji i terapii hormonalnej okresu menopauzy. Wydaje siê, ¿e zaburzenia te o charakterze trombofilii, choæ czêœciowo, odpowiedzialne s1 za zwiêkszone ryzyko zakrzepowe, tak charakterystyczne dla pierwszego roku stosowania steroidów p3ciowych u kobiet.
Rolexboost: A Rotation-Based Boosting Algorithm With Adaptive Loss Functions

We propose a new ensemble algorithm, called RolexBoost (Rotation-Flexible AdaBoost) that can not only secure diversity within an ensemble by rotating the feature axes in conjunction with performing the random subspace method for each bootstrap sample, but can also mitigate the impact of outlying data points by identifying the optimal loss function during the boosting iterations. The experimental results on 30 binary classification problems showed that RolexBoost yielded the best accuracy among the competing ensemble methods (AdaBoost, GentleBoost, Rotation Forest, Random Forest, Rotation Boost, FlexBoost). We statistically verified that the improvements made significant differences in the rankings. Additionally, we empirically verified that Rotation Boost is complemented by adaptive loss functions, demonstrating the superiority of RolexBoost.