Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying low-RCS targets using micro-Doppler high-resolution radar in the millimeter waves

In recent years, the use of drones and unmanned aerial vehicles (UAV) have become popular. Due to the cheap cost and ability to control an unskilled user, delinquent and terrorist agents use these measures to harm the routine of life. Sufficient technology need for detecting and tracking drones in the airspace. The use of existing aircraft detection systems is not possible due to the physical differences between the targets, smaller physical size, lower speed, and lower flight altitude relative to approved aircraft. This paper introduces the Characteristics of the unique micro-Doppler signature of drones. After analyzing the radar signal, one can deduce the speed and frequency of the propeller and from these find the length of the drone blade. The measurements were made using the CW radar operating in the W band at frequency 94 GHz. The results clearly show that a unique drone Doppler signature can be identified, and the geometric properties of the drone can be extracted and categorized accordingly.
A speed up of split-step wavelet for the computation of long range propagation

The atmospheric long-range propagation above the ground is of major importance for many ground systems as radars. The split-step wavelet method allows to compute efficiently this propagation using a pre-computed library for the wavelet-to-wavelet propagation. In this paper we propose a new method to efficiently compute the library needed for the propagation. From numerical experiments, we show that this novel method is faster to compute the library and as efficient in terms of precision and memory storage as the previous version.
Regulation of manX (ptsL) and manY (pel) genes required for mannose transport and penetration of λDNA in Escherichia coli K12

The manXYZ (ptsL, pel/ptsM) locus consists of 3 genes involved in mannose transport in Escherichia coli K12. In addition, the manY gene product is required for penetration of λDNA into the cell. We have previously constructed a series of lacZ gene fusions to manYZ. In this paper we describe the molecular cloning and regulatory properties of these fusions. A λ transducing phage was isolated that carried both the manX gene and the manYZ-lacZ gene fusion. The manX gene together with the fusion was subcloned into the fusion cloning vector pMLB524. Analysis of these subclones showed that lacZ was fused to manY. The manX and manY genes appeared to be in the same operon, manX being the promoter-proximal gene.
Review of Artificial Intelligence Application in Cardiology

Increasing incidence of cardiovascular disease and their mortality rate render them as second leading cause of death worldwide. Artificial Intelligence (AI) is used in many fields of science and industry, but also has found its use in medicine for diagnosis, treatment and prediction of diseases. This paper presents the review of AI application in cardiology. The review is based on research papers published in Medline database. Findings of the review indicate that, according to accuracy parameter, the overall performance of AI based models for cardiovascular application is above 83%. Based on the results, AI algorithms and deep learning can be rendered as accurate, hence showing possibility to be used as a diagnostic tool now and in the future. New era of modern diagnosing is coming and Artificial Intelligence has the potential to change the way in which medicine is practiced.
The practical challenges of making clinical use of the quantitative value for SARS-CoV-2 viral load across several dynamics

© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. This is an Open Access article distributed under the terms of the Creative Commons AttributionNonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com The practical challenges of making clinical use of the quantitative value for SARS-CoV-2 viral load across several dynamics
Double-Layer Machine Learning Assisted optimization for Antenna Sensitivity Analysis

A double-layer machine-learning assisted optimization (DL-MLAO) method for antenna sensitivity analysis (SA) is proposed. The machine-learning (ML) method is introduced to largely alleviate the computation burden of both worst case searching (WCS) and maximum input tolerance searching (MITS) in antenna robust design. First, the MLAO is introduced in the fundamental layer to accelerate the WCS for given input antenna design tolerance. Then, based on the improved WCS process, another MLAO process is introduced to operate MITS for given output antenna design tolerance efficiently. The proposed DL-MLAO is compared with the previously reported antenna SA methods, which shows its superior in both robustness and accuracy.
Analysis of Substrate Parameters’ Variations in a PCB-based 60 GHz GCPW Marchand Balun Design

This paper presents the design of a 60 GHz grounded coplanar waveguide (GCPW) based Marchand balun that is robust against variations of substrate height or dielectric constant. The via-free design and minimum trace width and trace-to-trace clearance of 0.1 mm makes this balun compatible for fabrication with economical printed circuit board (PCB) development technology. For optimal choice of height for a given substrate with known dielectric constant, simulation results show 33% bandwidth with maximum amplitude and phase imbalance of 0.2 dB and 13 degree, respectively. The substrate dependency analysis in terms of height and dielectric constant show the possibility of implementing this GCPW balun on substrates with deviations in height or dielectric constant with tolerable performance degradation. It provides a cost-effective rapid solution of measuring differential antennas and commercially available differential millimeter-wave components using single-ended laboratory equipment. Simulation results are verified through fabrication and laboratory measurements of two baluns backto-back connected through their differential ports. The measured results are in accordance with the simulated results.
Determination of reference intervals for common chemistry and immunoassay tests for Kenyan adults based on an internationally harmonized protocol and up-to-date statistical methods

Background Due to a lack of reliable reference intervals (RIs) for Kenya, we set out to determine RIs for 40 common chemistry and immunoassay tests as part of the IFCC global RI project. Methods Apparently healthy adults aged 18–65 years were recruited according to a harmonized protocol and samples analyzed using Beckman-Coulter analyzers. Value assigned serum panels were measured to standardize chemistry results. The need for partitioning reference values by sex and age was based on between-subgroup differences expressed as standard deviation ratio (SDR) or bias in lower or upper limits (LLs and ULs) of the RI. RIs were derived using a parametric method with/without latent abnormal value exclusion (LAVE). Results Sex-specific RIs were required for uric acid, creatinine, total bilirubin (TBil), total cholesterol (TC), ALT, AST, CK, GGT, transferrin, transferrin saturation (TfSat) and immunoglobulin-M. Age-specific RIs were required for glucose and triglyceride for both sexes, and for urea, magnesium, TC, HDL-cholesterol ratio, ALP, and ferritin for females. LAVE was effective in optimizing RIs for AST, ALT, GGT iron-markers and CRP by reducing influence of latent anemia and metabolic diseases. Thyroid profile RIs were derived after excluding volunteers with anti-thyroid antibodies. Kenyan RIs were comparable to those of other countries participating in the global study with a few exceptions such as higher ULs for TBil and CRP. Conclusions Kenyan RIs for major analytes were established using harmonized protocol from well-defined reference individuals. Standardized RIs for chemistry analytes can be shared across sub-Saharan African laboratories with similar ethnic and life-style profile.
Interval Type-2 Trapezoidal Fuzzy Decision- Making Method With Consistency-Improving Algorithm and DEA Model

Interval type-2 fuzzy sets (IT2FSs) are useful and valuable tool to describe the decision makers’ qualitative evaluation information. This paper designs a novel interval type-2 trapezoidal fuzzy decision-making (IT2TFDM) method, in which the local consistency adjustment strategy (LCAS) and interval type-2 fuzzy data envelopment analysis (DEA) are presented. First, in order to sufficiently describe the uncertain evaluation information, the definition of IT2TrFPRs is introduced, which is followed by the presentation of order consistency and multiplicative consistency for IT2TrFPRs. Then, an approach is proposed to check whether an IT2TrFPR is multiplicative consistent, and we construct a convergent consistency-improving algorithm, wherein the LCAS is utilized to retain the preference evaluation information of decision makers as much as possible. Furthermore, in order to determine the interval type-2 trapezoidal fuzzy priority weight vector, we investigate an interval type-2 trapezoidal fuzzy DEA model. An IT2TFDM method is proposed to obtain the reliable ranking of the alternatives. Finally, a fog-haze influence factor selection problem is given to show the practicality of the proposed IT2TFDM method, and the comparative analysis is carried out to clarify its validity and merits.
Role of pharmacodiagnostic of CYP2C9 variants in the optimization of warfarin therapy in Malaysia: A 6-month follow-up study

1. A retrospective study was conducted to explore the importance of CYP2C9 genotyping for the initiation and maintenance therapy of warfarin in clinical practice. A total of 191 patients on warfarin therapy in a local hospital were recruited after written informed consent. Their medical records were reviewed and no intervention of warfarin dose was performed. 2. A total of 5 ml of blood were taken from each subject for DNA extraction and identification of *1, *2, *3 and *4 CYP2C9 alleles, using a nested-allele-specific-multiplex-polymerase chain reaction (PCR). Half the patients were Malays and the remaining were Chinese. 3. Two genotypes were detected; 93.2% had CYP2C9*1/*1 and 6.8% were CYP2C9*1/* 3. Warfarin doses were higher in patients with CYP2C9*1/*1. Patients with the *1/* 3 genotype experienced a higher rate of serious and life-threatening bleeding; 15.4 versus 6.2 per 100 patients per 6 months. 4. The observation clearly highlights the inadequacy of the current dosing regimens and the need to move toward a more individualized approach to warfarin therapy. Prospective clinical studies are now being conducted to assess dosing algorithms that incorporate the contribution of the genotype to allow the individualization of warfarin dose.
Simulation Model of Streamer Discharge in Dielectric Liquid under Positive Nanosecond Pulse

The study of streamer discharge is of great significance for understanding and exerting the insulating properties of dielectric liquids. In this paper, an electrothermal hydrodynamic model describing the streamer discharge process in dielectric liquids is established. The generation and dissipation mechanisms of electrons, positive ions and negative ions in streamer discharge are considered, and the convection diffusion of three carriers is considered. The equations couple the Poisson equation and the thermal diffusion equations to describe the streamer discharge process in a dielectric liquid under a positive nanosecond pulse. It is found that the streamer discharge can be divided into two processes, an initial process and a development process. The rapid voltage rising edge at the initial process causes the shrinkage of the streamer front; the magnitude of the electric field strength in front of the streamer front, the velocity of streamer, the shape of the streamer front, and the temperature rise during the development process of streamer are basically constant.
Theoretical and Conceptual Notes Concerning Transference and Countertransference Processes in Groups and by Groups, and the Social Unconscious: Part II

In this article I will consider `group (T) ransference' and `group (t)ransference' processes that are co-created by members of the whole group to a particular object they hold in common, such as their conductor, the evolving dynamic matrix of the group, etc. In Part I, I (Hopper, 2006) discussed transference and countertransference processes by persons in groups: both (T)ransference by individual participants to the conductor of the group and (t)ransferences by individual participants to one another, and to particular objects who they hold in common, as well as (c) ountertransferences by the conductor to individual participants and to the group as-a-whole.
ECSD: Enhanced Compromised Switch Detection in an SDN-Based Cloud Through Multivariate Time-Series Analysis

Nowadays, Software-Defined Networks (SDNs) are increasingly being used in many practical settings, posing a variety of security risks, such as compromised switches. Once a switch is compromised by an attacker, the switch may be either malfunctioning or misconfigured, displaying some abnormal network behaviors, e.g., delaying, dropping, adding, or modifying the traffic. In our previous work, we proposed an efficient scheme for detecting compromised SDN switches based on chaotic analysis of network traffic using an autoregressive-integrated-moving-average model. This scheme showed good results overall; however, it still showed high false-alarm rates due to a hard-set threshold. In this paper, we propose an enhanced scheme to detect compromised SDN switches effectively and reliably. The scheme consists of two phases (online and offline), leveraging the advantages of a stochastic recurrent neural network variant of multivariate time-series-based anomaly detection. Our main idea is to capture the normal patterns of multivariate time series by learning strong representations with the key techniques, such as planar normalizing flow and stochastic variable connection, then reconstruct input data by the representations, and use the reconstruction probabilities to find anomalies. Evaluation results of our proposed scheme yield outstanding performance in comparison with our previous work and other solutions.
Miniaturization of UHF Antenna Using a Capacitive Hat and Parasitic Ring

This paper presents a design approach to achieve the operational frequency ranging from 40MHz to 160 MHz with VSWR ≤ 3 and 5 dBi realized gain in prefixed antenna size of 30 cm width and 100 cm height. A body of revaluation (BoR) monopole antenna was optimized with respect to lowest frequency (flow) for the specified parameters resulting in lowest achievable frequency of flow = 50.21 MHz. To improve flow, capacitive hat and parasitic ring are used without changing surface profile of the BoR monopole, resulting in flow = 40 MHz.
Seasonal temperature and precipitation regulate brook trout young‐of‐the‐year abundance and population dynamics

YOICHIRO KANNO*, KASEY C. PREGLER*, NATHANIEL P. HITT , BENJAMIN H. LETCHER , DANIEL J . HOCKING AND JOHN E. B. WOFFORD *Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, U.S.A. Leetown Science Center, United States Geological Survey, Kearneysville, WV, U.S.A. Silvio O. Conte Anadromous Fish Research Branch, Leetown Science Center, United States Geological Survey, Turners Falls, MA, U.S.A. Shenandoah National Park, Luray, VA, U.S.A.
Planar W-band Beam Steerable Antenna Array using Slotted SIW Technology

A planar beam steerable antenna array using the Substrate Integrated Waveguide technology is proposed in this work. Five slotted waveguide sections are clubbed together to form the antenna array, which ultimately transforms the radiation pattern to a directive one in both the planes. With change in the phase difference of the excitation signal at the feed, electronically steerable beam with a steerable angle of ± 15° is obtained, with a boresight gain of 18.56 dBi.
Dual-Trajectories of Opioid and Gabapentinoid Use and Risk of Subsequent Drug Overdose among Medicare Beneficiaries in the United States: A Retrospective Cohort Study.

BACKGROUND AND AIMS Little is known about opioid and gabapentinoid (OPI-GABA) use duration and dose patterns' associations with adverse outcomes risks. We examined associations between OPI-GABA dose and duration trajectories and subsequent drug overdose. DESIGN Retrospective cohort study. SETTING US Medicare. PARTICIPANTS Using a 5% sample (2011-2016), we identified 71,005 fee-for-service Medicare beneficiaries with fibromyalgia, low back pain, neuropathy, and/or osteoarthritis initiating OPIs and/or GABAs (mean age±SD=65.5±14.5 years, female=68.1%, white=76.8%). MEASUREMENTS Group-based multi-trajectory models identified distinct OPI-GABA use patterns during the year of OPI and/or GABA initiation, based on weekly average standardized daily dose (i.e., OPIs=morphine milligram equivalent, GABAs=minimum effective daily dose). We estimated models with three to 12 trajectories and selected the best model based on Bayesian information criterion (BIC) and Nagin's criteria. We estimated risk of time to first drug overdose diagnosis within 12 months following the index year, adjusting for socio-demographic and health factors using inverse probability of treatment weighted multivariable Cox proportional hazards models. FINDINGS We identified 10 distinct trajectories (BIC=-1,176,954; OPI-only=3, GABA-only=3, OPI-GABA=4). Compared with OPI-only early discontinuers (40.6% of the cohort), 1-year drug overdose risk varied by trajectory group: consistent low-dose OPI-only users (16.6%; HR=1.47, 95%CI=1.19-1.82), consistent high-dose OPI-only users (1.8%; HR=4.57, 95%CI=2.99-6.98), GABA-only early discontinuers (12.5%; HR=1.39, 95%CI=1.09-1.77), consistent low-dose GABA-only users (11.0%; HR=1.44, 95%CI=1.12-1.85), consistent high-dose GABA-only users (3.1%; HR=1.43, 95%CI=0.94-2.17), early discontinuation of OPIs and consistent low-dose GABA users (6.9%; HR=1.24, 95%CI=0.90-1.69), consistent low-dose OPI-GABA users (3.4%; HR=2.49, 95%CI=1.76-3.52), consistent low-dose OPI and high-dose GABA users (3.2%; HR=2.46, 95%CI=1.71-3.53), and consistent high-dose OPI and moderate-dose GABA users (0.9%; HR=7.22, 95%CI=4.46-11.69). CONCLUSIONS Risk of drug overdose varied substantially among US Medicare beneficiaries on different use trajectories of opioids and gabapentinoids. High-dose opioid-only users and all consistent opioid and gabapentinoid users (regardless of doses) had more than double the risk of subsequent drug overdose compared with opioid-only early discontinuers.
Determination Algorithm of Space Objects Covering Type by using Poliametric Methods

Over the past decades the amount of space debris has risen sharply, it is a threat to the Earth's orbital stations and biosphere. The problem of space cleaning has not yet been resolved, but monitoring is actively developing, and the main tool of which is photometric studies of distant space objects. The main task of photometry of distant objects is to The algorithm for determining the type of coverage for remote objects was developed and tested. The algorithm is based on the use of data on the polarization of the scattered light stream. determine their characteristics: size, shape, coating material.
The Activatory Receptor 2B4 Is Expressed In Vivo by Human CD8+ Effector αβ T Cells1

The membrane receptor 2B4 is a CD2 family member that is involved in lymphocyte activation. A fraction of human CD8+ αβ T cells up-regulate 2B4 in vivo, and here we demonstrate that this correlates with the acquisition of effector cell properties such as granzyme B and perforin expression, rapid IFN-γ production, and down-regulation of the lymph node homing chemokine receptor CCR7. In PBLs from healthy donors, cytomegalovirus-specific effector T cells were 2B4 positive, whereas naive melanoma Ag (Melan-A/melanoma Ag recognized by T cells-1)-specific T cells were 2B4 negative. In melanoma patients, Melan-A-specific T cells up-regulated 2B4 in parallel with in vivo differentiation. This occurred in PBLs after vaccination with Melan-A peptides and in tumor-infiltrated lymph nodes, likely through disease-associated activation of Melan-A-specific T cells. Thus, 2B4 expression correlates with CD8+ T cell differentiation in vivo.
The Required Patient Modeling Realism in Radiofrequency Heating Simulation Studies

Clinical effectiveness of hyperthermia would benefit from a more controlled and target conformal heating of the tumor. Over the years, dosimetry using electromagnetic simulators has become a potent tool to study improvements in the application of hyperthermia. Literature suggests that simulation accuracy is dependent on the realism of the patient models. In this work, we compare the results for a detailed head and neck patient model to those for models with an approximated shape, a reduced tissue number and/or a spherical target volume. Our comparison shows a relative difference above 25% in the administered power absorption pattern. This large difference calls upon 1) follow-up research to establish the true impact using a larger set of patient models and 2) the development of a reference set of patient models to facilitate benchmarking of novel devices, methods and treatment approaches.
NOD3, a novel late nodulin gene from soybean is expressed in the infected cells and the nodule parenchyma

A novel late nodulin gene, namely NOD3, was isolated from a soybean cDNA library. The expression of NOD3 was induced almost simultaneously with the onset of nitrogen fixation, together with leghaemoglobin. The temporal expression pattern of the gene was studied in developing soybean nodules, by in situ hybridization. NOD3 transcripts were localized in the infected cells of the nodule central tissue and the nodule parenchyma cells.
Acceptability and Usability of Computerized Cognitive Assessment Among Australian Indigenous Residents of the Torres Strait Islands.

OBJECTIVES This cross-sectional study aimed to investigate the acceptability and usability of the Cogstate Brief Battery (CBB) in a community-based sample of Australian Indigenous people from the Torres Strait region, based on a user experience framework of human-computer interaction. METHODS Two-hundred community participants completed the four subtests of the CBB on an iPad platform, during a free adult health check on two islands in the region, between October and December 2016. Acceptability was defined as completing the learning trial of a task and usability as continuing a task through to completion, determined by examiner acumen and internal Cogstate completion and integrity criteria. These were combined into a single dichotomous completion measure for logistic regression analyses. Performance-measured as reaction times and accuracy of responses-was analyzed using linear regression analyses. RESULTS CBB completion ranged from 82.0% to 91.5% across the four tasks and the odds of completing decreased with age. After adjusting for age, iPad/tablet familiarity increased the odds of completion for all tasks while level of education and employment increased the odds for some tasks only. These variables accounted for 18.0%-23.8% of the variance in reaction times on speeded tasks. Age and education had the most effect, although semipartial correlations were modest. CONCLUSIONS When administered in a health-screening context, the acceptability and usability of the CBB were greatest in young- to middle-aged participants with some education and iPad/tablet experience. Older and more vulnerable participants may have benefited from additional time and practice on the CBB prior to administration.