Miracle-dz/UniFAR-FTUs huggingface dataset:
A Class of All Metal Cavity-Backed Slot Array With Direct Metal Laser Sintering

In this paper, a class of all-metal cavity-backed slot array employing multiple layers, corporate-feed waveguide network, and coaxial-to-ridged waveguide transition is proposed. The frequency band flexibility of this class of array with a fixed aperture is demonstrated using the direct metal laser sintering (DMLS) technique. Given a fixed aperture, the nominal design operating at 15 GHz with a fractional bandwidth of around 10% can be easily modified to shift the operating frequency from 10.25 to 19.8 GHz. For verification, two designs operating at 10.25–11.8 and 16.9–19.8 GHz, respectively, are described and fabricated using the DMLS technique in AlSi10Mg. The measured results agree well with the simulated ones, which validated the design procedures and proved the reliability of using the DMLS technique to fabricate this class of antenna.
Complete Genome Sequence of Streptococcus agalactiae Serotype III, Multilocus Sequence Type 335 Strain HU-GS5823, Isolated from a Human Patient in Japan with Severe Invasive Infection

Streptococcus agalactiae is an important causal pathogen of neonatal and obstetric sepsis, and it may be involved in invasive infection in immunocompromised and elderly individuals. Here, we report the complete genome sequence of Streptococcus agalactiae serotype III strain HU-GS5823, which was isolated from a patient in Japan with an invasive infection. ABSTRACT Streptococcus agalactiae is an important causal pathogen of neonatal and obstetric sepsis, and it may be involved in invasive infection in immunocompromised and elderly individuals. Here, we report the complete genome sequence of Streptococcus agalactiae serotype III strain HU-GS5823, which was isolated from a patient in Japan with an invasive infection.
Wnt11 directs nephron progenitor polarity and motile behavior ultimately determining nephron endowment

A normal endowment of nephrons in the mammalian kidney requires a balance of nephron progenitor self-renewal and differentiation throughout development. Here, we provide evidence for a novel action of ureteric branch tip-derived Wnt11 in progenitor cell organization and interactions within the nephrogenic niche, ultimately determining nephron endowment. In Wnt11 mutants, nephron progenitors dispersed from their restricted niche, intermixing with interstitial progenitors. Nephron progenitor differentiation was accelerated, kidneys were significantly smaller, and the nephron progenitor pool was prematurely exhausted, halving the final nephron count. Interestingly, RNA-seq revealed no significant differences in gene expression. Live imaging of nephron progenitors showed that in the absence of Wnt11 they lose stable attachments to the ureteric branch tips, continuously detaching and reattaching. Further, the polarized distribution of several markers within nephron progenitors is disrupted. Together these data highlight the importance of Wnt11 signaling in directing nephron progenitor behavior which determines a normal nephrogenic program.
Continuously Tunable Resonator Using a Novel Triangular Doped Area on a Silicon Substrate

This letter presents a continuously tunable resonator with a novel triangular doped area on a silicon substrate. The resonator and its tunable element (an n+pp+ junction) are co-designed in the same flow, leading to new tradeoffs and novel behaviors. The co-design flexibility allows the active area to be drawn with any doping shape. The base of the triangular doped area is located at the end of a stub. Consequently, when the junction is forward biased with a low bias voltage, the resonator is ended by a short circuit at the triangle base. Then, by increasing the voltage, the short-circuit plan moves continuously until it reaches the top of the triangle, thereby decreasing the length of the short-circuited stub. Besides, a demonstrator validates the concept and offers a continuous resonant frequency tunability of 50%, from 2.2 to 3.3 GHz, with a bias voltage from 0 to −1.3 V.
Data-Driven Iterative Feedforward Tuning for a Wafer Stage: A High-Order Approach Based on Instrumental Variables

The feedforward controller plays an important role in the achievement of high servo performance of wafer scanning. In this paper, a novel data-driven feedforward tuning method is developed in the presence of noise. Three distinguished features make it different from the existing methods: first, high extrapolation capability to tasks; second, low requirement on the system model; and especially, third, high noise tolerant capability. These superiorities are achieved by a high-order iterative feedforward tuning algorithm based on instrumental variables. It utilizes error data from all past iterations via an integrator in the learning law, yet without the need of the plant model or the sensitivity function. Furthermore, $H_2$ optimization with specified convergence speed constraint is proposed to design the learning gain. Connections and differences between the proposed algorithm and the existing ones are discussed. Experimental results validate the proposed method and confirm its effectiveness and superiority.
Combined and Robust SNOW-ZUC Algorithm Based on Chaotic System

SNOW-3G and ZUC are two stream ciphers standardized by the 3GPP (3rd Generation Partnership Project) organization to ensure the LTE (Long Term Evolution of radio networks) security. Unfortunately, these algorithms present some weaknesses. The main objective of this study is to design and implement an enhanced algorithm combining the functionalities of standard SNOW-3G and ZUC algorithms in order to provide security to the LTE network. A chaotic generator has been used to increase the randomness and robustness of generated key-streams. The proposed architecture was implemented on Xilinx virtex-S FPGA technology and its security was evaluated using many security tests (generated key-stream distribution, key sensitivity, key space, and NIST statistical tests). The experimental results show that the proposed design allows to encrypt data in two operating modes (SNOW-3G and ZUC modes) using limited hardware resources and power consumption while ensuring more resistance against cryptanalysis attacks.
Design Optimization of Permanent Magnet Bearingless Motor Using Differential Evolution

Bearingless motors combine torque generation and suspension force capabilities into one electromagnetic actuator. However, design optimization of bearingless motors is more complex than with traditional motor structures. The combined levitation and motoring performance cannot be quickly evaluated by using Computer Aided Design (CAD) tools applied in traditional motor designs. This work proposes a bearingless motor design chain. The initial dimensions of the test case motor are iteratively derived. The levitation performance is verified by using a lumped parameter model. The fine tuning of the rotor geometry is carried out by using the Finite Element Method (FEM). The objectives for the FEM optimization are a minimum torque ripple, minimum levitation force variations, and maximum torque and force capacities. Finally, experimental force angle measurements of a manufactured test case machine with a unique method are provided. Application of differential evolution is presented and discussed in both analytical and in FEM design steps.
Parameters Sensitivity Analysis of Circulating Resonance in Islanded Micro-grid with Aggregated Droop-Based Control Inverters

Circulating resonance is studied among aggregated droop controlled inverters in islanded micro-gird. Firstly, the output impedance of droop control inverter is obtained by small signal method. And parameter sensitivity of the impedance is analyzed, which reveals that the lower-frequency impedance is sensitive to Q-U control parameters in droop control, and higher-frequency impedance is impacted by voltage loop control parameters and $\boldsymbol{C}$ value of LC filters. Then circulating resonance is analyzed based-on the derived output impedance. Through disturbing voltage loop control parameters and $\boldsymbol{C}$ value, it discloses that, resonant frequency is sensitive to $\boldsymbol{C}$ value, and the oscillation will be suppressed with increase of $\boldsymbol{C}$ value. However, the frequency is less sensitive to voltage loop parameters, and the resonance will be amplified by increasing voltage loop control parameters, especially voltage proportional control parameters. Finally, the circulating resonance is verified by simulations and experiments.
Integral Sliding-Mode Method Based on Back-EMF for Restarting Speed Sensorless Controlled Induction Motor at Free Running Status

Restarting at free running status is essential for the speed sensorless control of Induction motor. Exact estimation of the initial speed makes the procedure of restarting smooth without current impact or voltage impact. An integral sliding-mode (ISM) restart method based on back electromotive force (EMF) is proposed in this paper. The nonlinear model of the rotor back-EMF which is used to estimate $\omega_{s}$ ignores the variation of the stator current, which causes the modeling inaccuracies. The ISM method can reduce the effect of modeling inaccuracies. Moreover, the ISM method improves the robustness of the motor parameters and noise. The design and implementation of the proposed method are illustrated in detail. The validity of the proposed method is verified by simulation and experimentation.
Evaluating the Practicability of Error-Detection Circuit Exposed to Single-Event Upsets in 65 nm CMOS Technology

This paper presents a multiple NAND gate error-detection module for diagnosing single-event effects (SEEs) in the combinational logic circuits which fabricated in 65 nm technology. The proposed approach evaluates the SEUs propagate effects by using device TCAD and circuit mixed simulation, which is derived based on device physics and fault sensitizing access propagate methods. Simulation results show that this circuit design can verify which module has SEU disturbances in the input electrodes, and it provides an effective tolerant method for soft-errors in the insensitive signal period. The circuit does not incur significant area or speed degradation on the chip.
A Comparison of Inertial Data Acquisition Methods for a Position-Independent Soil Types Recognition

In a previous work, we presented a method to recognize different soil types based on inertial data generated by a user's gait through a wearable device. Although results we have obtained were encouraging, we judged that this method needed further evaluation. Thus, this paper aims at comparing our previous approach between several acquisition methods. The device was upgraded to a 9-axis IMU and a comparison of this wearable with a mobile phone was also offered. Both the features processing and the classification phases remain unchanged from our previous work to perform a proper comparison. Although this evaluation let us expose a slight improvement in the recognition rate, it allowed us to prove the reliability of our device since the performance obtained with the mobile phone was similar.
Genetic diversity of hepatitis viruses in West-African countries from 1996 to 2018

The severity of hepatic pathology and the response to treatment depend on the hepatitis virus genotype in the infected host. The objective of this review was to determine the distribution of hepatitis virus genotypes in West African countries. A systematic review of the literature in PubMed, Google Scholar and Science Direct was performed to identify 52 relevant articles reporting hepatitis A, B, C, D, E and G viruses genotypes. Hepatitis B virus (HBV) genotype E with a prevalence of 90.6% (95%CI: 0.891-0.920) found in this review, is characterized by low genetic diversity. Hepatitis C virus (HCV) genotypes 1 and 2 represented 96.4% of HCV infections in West African countries, while hepatitis delta virus, hepatitis A virus, hepatitis G virus genotypes 1 and HEV genotype 3 were reported in some studies in Ghana and Nigeria. HBV genotype E is characterized by high prevalence, low genetic diversity and wide geographical distribution. Further studies on the clinical implications of HBV genotype E and HCV genotypes 1 and 2 are needed for the development of an effective treatment against this viral hepatitis in West African countries. Surveillance of the distribution of different genotypes is also needed to reduce recombination rates and prevent the emergence of more virulent viral strains.
Integrated Ordering and Pricing Policy for Perishable Products with Inventory Inaccuracy

We explore the problem of integrated pricing and ordering strategy for an inventory system of perishable products, in which the demand in each period is independent and influenced by the price, and product quality decays at a random rate. Due to the random decay rate, multiple quality levels of the products are formed. Furthermore, it makes the inventory record inaccurate, i.e., the physical inventory quantities of the products on different quality levels cannot be observed accurately. In order to solve the problem, we firstly develop a mathematical model for the inventory system of perishable products with three quality levels by using a group of difference equations, in which the products in stock are divided into fresh products, less fresh products and unacceptable products. In particular, we treat the price as a decision variable to maximize the total profit. Based on the model, an integrated pricing and ordering policy is developed for perishable products in the deterministic case (i.e., deterministic decay rate, and the real inventory level); and then we construct an integrated ordering and pricing policy based on probability for the case of random quality decay rate and inventory record. From numerical experiments, we find that the constructed probability-based policy can significantly reduce the negative impact of inventory inaccuracy for perishable products.
A Frequency-Modulated Space Vector Pulse-Width Modulation for Ripple Current Control of Permanent-Magnet Motor Drives

Various methods have been proposed to perform real-time ripple current estimation, which is critical for the performance improvement of ac motor drives. In this work, a novel ripple current prediction (RCP) approach is firstly proposed, which combines the advantages of both equivalent circuit based and machine model based methods. The proposed RCP method is accurate and effective in practical applications. Then a frequency-modulated (FM) space-vector pulse-width modulation (SVPWM) is proposed to actively control the ripple current by adjust the switching frequency on a cycle-by-cycle basis. The proposed FM-SVPWM has the capability to maintain the same amount of ripple current using reduced switching frequency or reduce the current ripple without increasing the switching frequency. Extensive simulation studies have been performed to validate the feasibility and effectiveness of the proposed methods.
A multicenter epidemiology study on the risk factors and clinical outcomes of nosocomial intra-abdominal infections in China: results from the Chinese Antimicrobial Resistance Surveillance of Nosocomial Infections (CARES) 2007–2016

Objective This study aimed to determine the risk factors for intra-abdominal infections (IAIs), assess the clinical outcomes of IAIs, and investigate the spectrum and antimicrobial resistance of major pathogens causing IAIs. Patients and methods This prospective observational study enrolled patients from the Chinese Antimicrobial Resistance Surveillance of Nosocomial Infections (CARES) program between 2007 and 2016. Data on the clinicopathological factors and causative pathogens were collected. The results of antimicrobial susceptibility tests were interpreted according to the minimum inhibitory concentration (MIC) interpretive breakpoints recommended by the Clinical and Laboratory Standards Institute in 2017. Results A total of 2,756 patients were included. The 30-day all-cause mortality was 9.5% (262/2,756). Multivariable analysis showed that the following independent risk factors were associated with the 30-day mortality: age >60 years, pulmonary disease, tracheal cannula, infection occurring in intensive care unit (ICU), prior admission within 3 months, antibiotic use before infection, recent use of immunosuppressants, and multidrug-resistant organisms. In addition, 2,913 clinical isolates were collected. The Gram-negative and Gram-positive bacteria accounted for 70.8% and 29.2% of all isolates, respectively. The most common pathogens were Escherichia coli (33.4%), Klebsiella pneumoniae (10.8%), and Enterococcus faecium (10.7%). Pseudomonas aeruginosa and Acinetobacter baumannii were the most common non-Enterobacteriaceae Gram-negative pathogens. E. faecium, Enterococcus faecalis, and Staphylococcus aureus were the most common Gram-positive pathogens. E. coli, A. baumannii, and Enterobacter cloacae were more commonly found in ICU patients than in non-ICU patients. Overall, the antibiotics tested in the CARES exhibited diminished susceptibility to pathogens over the study period, especially extended spectrum β-lactamase producing isolates. Conclusion Considering the current data set and high-level resistance of intra-abdominal pathogens to various antibiotics, further monitoring of the epidemiology of IAIs and their susceptibility to antibiotics through the CARES is warranted.
Performance Analysis of $H_{2}$ Optimally Controlled Three-Phase Grids

Embedded electrical grids are comprised of multiple interconnected power converters, and have been recently adopted widely into applications such as micro-grids, electrical ships and More Electric Aircraft (MEA). Key aims of MEA research include reducing the overall size and weight of the electrical system without compromise to performance. H2 control optimization have been gaining large attention in the development of controllers for such systems. In this paper, a comparative review between decentralised optimal H2 controllers, and more traditional PI control method for a three-phase embedded grid in MEA shall be undertaken. The comparison involves investigating the tuning process, the implementation, the performance and the capability of reducing the overall size and weight of the system. H2 controls are being designed with full knowledge of the system dynamics and interactions, and is expected in theory to deliver greater capability to meet MEA core research objectives, in contrast to traditional PI methods.
A Dual-Band Broadband Metamaterial Absorber with Wide-Angle Absorption and Polarization Insensitivity

A dual-band broadband metamaterial absorber with wide-angle absorption and polarization insensitivity is proposed in this paper. The unit structure of the proposed absorber is divided into three layers. The upper layer is composed by a dual-arm Archimedes spiral loaded with a resistor in the center area, the middle layer is a substrate, and the bottom is a ground plane. Full-wave simulation showed that the proposed absorber can operate at 3.84GHz-8.65GHz and 11GHz-16.4GHz, respectively, with an absorption rate over 50 %. Especially, the absorption rate can reach 90% from 12.77GHz to 15.08GHz. Besides, in the dual operating bands, the proposed absorber has the characteristics of polarization insensitivity and wide-angle absorption in the range from −45 ° to +45° Compared with previous researches using spiral structure, the proposed design has an obvious advantage in bandwidth.
Overview on Distributed Generation Integration in Distribution Systems

This paper presents an overview on distributed generation (DG) integration into distribution systems and a series of study cases to emphasize the impact of DG over voltage profiles and power losses variation in distribution systems. The main effects of DG integration addresses various technical aspects concerning the design, the planning and the operation of present day distribution systems. Among these, the authors approach reverse power flow, voltage control, flicker and power quality, protection and anti-islanding systems, thermal ratings and congestions, and power losses. Based on the general description provided, the authors present a case study to emphasize the effect of DG integration over the voltage profile and power losses.
Complete Genome Sequence of Klebsiella pneumoniae Siphophage Sugarland

Klebsiella pneumoniae is a Gram-negative bacterium associated with the gastrointestinal tract and is a significant nosocomial pathogen due to its antibiotic resistance. Phage therapy against K. pneumoniae may prove useful in treating infections caused by this bacterium. ABSTRACT Klebsiella pneumoniae is a Gram-negative bacterium associated with the gastrointestinal tract and is a significant nosocomial pathogen due to its antibiotic resistance. Phage therapy against K. pneumoniae may prove useful in treating infections caused by this bacterium. This announcement describes the genome of the T5-like K. pneumoniae siphophage Sugarland.
Complete Genome Sequence of WM99c, an Antibiotic-Resistant Acinetobacter baumannii Global Clone 2 (GC2) Strain Representing an Australian GC2 Lineage

The extensively antibiotic-resistant Acinetobacter baumannii isolate WM99c recovered in Sydney, Australia, in 1999 is an early representative of a distinct lineage of global clone 2 (GC2) seen on the east coast of Australia. We present the complete 4.121-Mbp genome sequence (chromosome plus 2 plasmids), generated via long-read sequencing (PacBio). ABSTRACT The extensively antibiotic-resistant Acinetobacter baumannii isolate WM99c recovered in Sydney, Australia, in 1999 is an early representative of a distinct lineage of global clone 2 (GC2) seen on the east coast of Australia. We present the complete 4.121-Mbp genome sequence (chromosome plus 2 plasmids), generated via long-read sequencing (PacBio).
Software Defect Prediction Model Sharing Under Differential Privacy

In current software defect prediction (SDP) research, most empirical studies only use data sets provided by Promise repository and this may cause a threat for external validity. Instead of SDP data set sharing, SDP model sharing is a potential solution to alleviate this problem and can encourage researchers to share more models. However, sharing models directly may result in the disclosure of privacy, such as model inversion attack. To the best of our knowledge, we are the first to apply differential privacy (DP) to SDP model sharing and propose a novel method A-DPRF, since DP mechanisms can prevent this attack when the privacy budget is carefully selected. In particular, this method first performs data preprocessing for the data set, such as over-sampling for minority instances (i.e., faulty modules) and discretization for continuous features. Then it uses a novel sampling strategy to create a set of training sets. Finally it constructs decision trees based on these training sets and these decision trees can form a random forest (i.e., model). The last two steps of A-DPRF use Laplace and exponential mechanisms to satisfy the requirement of DP. In our empirical studies, we choose experimental subjects from real software projects. Then we use AUC as the performance measure and holdout as our model validation technique. After privacy and utility analysis, we find that A-DPRF can achieve better performance than a baseline method B-DPRF in most cases when using the same privacy budget.