Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated recognition of obstructive sleep apnea using ensemble support vector machine classifier

ECG is mainly used to diagnosis the obstructive sleep apnea (OSA) with a high degree of accuracy in clinical care applications. We have developed a real-time algorithm for the detection of sleep apnea disease based on electrocardiograph (ECG). In this study, features from ECG signals were extracted from 12 normal and 58 OSA patients from physionet apnea ECG database. The baseline noise, motion drift and muscle noise in raw ECG signals are removed using median filter and Daubechies wavelet filter. QRS detection algorithm extracts R-wave amplitude and R-wave time duration from de-noised signal. The proposed QRS detection algorithm contains four stages. The stages are calculation of QRS-complex slope, squaring function, moving-window integration and calculation of R-peak and QRS detection. Time domain features are calculated from the heart rate variability and ECG-derived respiration (EDR). Support vector machine (SVM) and ensemble support vector machine techniques are used for the detection of OSA.
Flat foam-based Mikaelian lens antenna for millimeter wave applications

The design principles and radiation performances of Mikaelian lens antennas are investigated. An innovative technique to manufacture gradient index lenses based on the variation of the foam density is described and applied to Mikaelian lenses. This yields low cost and lightweight lenses. The radiation performances of a foam-based planar Mikaelian lens antenna are simulated and measured at 60 GHz. They validate the foam technique and show the potentialities of such lens antennas.
New Trends in Geospatial Information: The Land Surveyors Role in the Era of Crowdsourcing and VGI

The geographic data and knowledge collection and dissemination via authoritative professionals only – characterized as the top- down scheme – has been shifting in the past few years to the bottom-up scheme, in which citizens and laymen generate data they later use as information in various applications and services. This is a new era in the history of human mapping efforts, mainly in terms of data collection, but also for knowledge production. This neogeography revolution is fundamentally transforming how geographic data are acquired, maintained, analyzed, visualized, and consequently – used. With today’s technology, availability, access and ease of use there is a potential of a geographer within everybody. In view of these changes in the mapping and land surveying domain over the past few years, Commission 3 has undertaken the mission to prepare this publication within the framework of FIG, aiming to emphasize the accessibility, the potential, and the use of crowdsourcing and VGI as abasic tool for land surveyors and mappers professionals. During the 2011–2014 and 2015–2018 periods, FIG Commission 3 has addressed this phenomenon of shifting from the top-down mapping scheme to the bottom-up one. Its particular focus has been on SIM Infrastructure, Technical Aspect of SIM, and on Crowdsourcing and VGI. In this effort, FIG Commission 3 has established valuable collaborations in an effort to adopt a multi-sector approach, and bring together people with relevant expertise, such as academics, experts from the public sector as well as from the private sector, to share experience and knowledge on crowdsourcing and VGI. FIG Commission 3 cooperates closely with UN-agencies(UN ECE WPLA, and UN-HABITAT and GLTN), UNESCO, the World Bank, ISPRS and other sister associations. This publication integrates the output of research studies done by Commission 3 working groups and resolutions from the past annual workshops(Paris 2011, Athens 2012, Skopje 2013, Bologna 2014, Malta 2015, Iasi 2016, Lisbon 2017 and Napoli 2018).
A Micro Air Vehicle Navigation System

A description of the design, operation, and test results of a Micro-Electro-Mechanical (MEMS)-based navigation system for the Micro Air Vehicle (MAV) is presented. The MAV is a small Unmanned Aerial Vehicle (UAV) built by Honeywell. It is one of the first applications to use Honeywell's new HG1930 MEMS inertial measurement unit (IMU). The raw IMU measurements are transmitted via a serial interface to a processor board where the inertial solution is blended in a Kalman filter with measurements from GPS, a barometric altimeter, and a magnetometer. The navigation is performed by Honeywell's ECTOS lie navigation software. The modular ECTOS architecture allows easy customization for use with various IMUs and aiding sources, creating a flexible navigation solution which can be customized to the user's requirements. The MAV has been extensively flight tested both on- and off-tether. Results are presented showing the performance of the MAV navigation system.
Wideband Vivaldi antenna array with mechanical support and protection radome for land-mine detection radar

A wideband antenna array is developed for the landmine detection in the desert with an on-board radar. The final array is very large and contains 128 Vivaldi antennas. The array is split into 16 sub-arrays of 8 elements. Each Vivaldi antenna is driven independently by electronic switches for SAR imaging purpose. In a first step, a sub-array of 8 elements has been studied, fabricated and measured in the anechoic chamber. In a second step, influences of the overall mechanical support and the protection radome are studied numerically and experimentally. This paper focuses on the second aspect with the minimization of both support and radome effects on the radiation performances of the Vivaldi elementary antenna.
Prediction of Chemotherapy Response by PET-CT in Osteosarcoma: Correlation With Histologic Necrosis

Background The current standard for neoadjuvant chemotherapy (NACT) response evaluation in osteosarcoma is histopathologic necrosis (HN). However, it is accessible only after NACT completion and may get affected by confounding factors. Thus, noninvasive surrogate such as 18Fluorine-Fluorodeoxyglucose-positron emission tomography-computerized tomography (PET-CT) scan would be useful to individualize therapy. Methods Thirty-one treatment naive osteosarcoma patients evaluated prospectively by PET-CT scan preceding and after 3 cycles of NACT and surgery during 2006 to 2008. Various anatomic and metabolic parameters of PET-CT scan were compared with HN (good response ≥90% HN) as reference standard. Receiver operating characteristic curves were generated to assess the best threshold and predictability. Results Median age was 17 years; 25 were male patients and 23 were nonmetastatic. Ten cases were good, whereas 21 cases were poor histologic responders. PET-CT parameters including post-NACT (2) and pre-NACT (1) standard uptake value (SUV)max ratio (SUV2:SUV1), SUV2, pre-NACT and post-NACT volumes (V1and V2), change in V after NACT, pre-NACT and post-NACT metabolic burden (MB) and change in MB after NACT correlated with HN. Two independent predictors were identified in stepwise multivariable analysis; if V1 ⩽300 mL and SUV2:SUV1 ⩽0.48, observed good histologic response proportions was 83%, whereas if V1 >300 mL and SUV2:SUV1 >0.48, it was 0%. Conclusions NACT response can be predicted reliably by PET-CT scan early in disease course (even at baseline) and PET-CT parameters correlate well with HN. MB seems to be sensitive substitute for response evaluation. Independent predictors may have wider clinical applications if further validation can be done.
An improved coupling method for time domain load-pull measurements

This paper describes an efficient coupling method improving the nonlinear time domain large signal load-pull measurements of active devices. This approach consists in a small RF loop fixed near the blended line that takes place between the DUT and the tuner. We take benefit of two advantages: extremely low losses induced by the coupler, and measurements taken very close to the DUT plane. It is shown that this simple coupling solution offers an average directivity better than 15 dB (before calibration) along a wide RF band from 2 to 18 GHz. This solution is compared with the classical approach of a distributed coupler connected before and after the tuner. A LSNA calibration has been performed, it exhibits an average directivity better than 35 dB.
Enabling high-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing

High-throughput amplicon sequencing of large genomic regions remains challenging for short-read technologies. Here, we report a high-throughput amplicon sequencing approach combining unique molecular identifiers (UMIs) with Oxford Nanopore Technologies or Pacific Biosciences CCS sequencing, yielding high accuracy single-molecule consensus sequences of large genomic regions. Our approach generates amplicon and genomic sequences of >10,000 bp in length with a mean error-rate of 0.0049-0.0006% and chimera rate <0.022%. Main High-throughput amplicon sequencing is a ubiquitous method for studying genetic populations with low-abundance variants or high heterogeneity, including cancer driver genes 1–3 , virus populations 4–6 and microbial communities 7 . Short-read Illumina sequencing . CC-BY 4.0 International license available under a was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made The copyright holder for this preprint (which this version posted January 11, 2020. ; https://doi.org/10.1101/645903 doi: bioRxiv preprint
A Robust Optimization Approach for the Interdependency Analysis of Integrated Energy Systems Considering Wind Power Uncertainty

As power generation plants which use wind energy are increasingly integrated into existing electric power systems, it becomes important to evaluate how the wind power uncertainties affect the power system's operation as well as its interdependency with those infrastructures utilized to transport the various forms of primary energy that is converted into electric energy. This paper proposes a robust optimization model for analyzing the interdependency between natural gas, coal and electricity infrastructures considering their operation constraints and wind power uncertainties. The optimization model obtains an uncertainty-immunized solution in a unified framework based on the balance of nodal energy flows, which remains feasible and nearly optimal for all values of uncertain data. Case studies are presented to verify the effectiveness of the proposed solution for a multi-energy system composed by the IEEE-118 test system coupled to a 15-nodes natural gas network and a 4-nodes coal distribution system as well as for the real life Belgian natural gas and electricity infrastructures.
Large-area few-layer hexagonal boron nitride prepared by quadrupole field aided exfoliation

A quadrupole electric field-mediated exfoliation method is proposed to convert micron-sized hexagonal boron nitride (h-BN) powder into few-layer hexagonal boron nitride nanosheets (h-BNNS). Under optimum conditions (400 Hz, 40 V, 32 μg ml−1, sodium deoxycholate, TAE medium), the h-BN powders (thickness >200 nm, horizontal scale ∼10 μm) are successfully exfoliated into 0.5–4 nm (1–10 layers) thick h-BNNS with the same horizontal scale. Dynamic laser scattering and atomic force microscope data show that the yield is 47.6% (for the portion with the thickness of 0.5–6 nm), and all of the vertical sizes are reduced to smaller than 18 nm (45 layers).
A fast parameterized model for predicting PV system performance under partial shade conditions

Accurately modeling the performance of partially shaded photovoltaic systems is well-known to be a difficult problem. Power loss is not only nonlinear with shade coverage, but also has a strong dependence on system configuration and location of the shade on a system. This paper presents a parameterized shade loss model (called the "Fast Shade Model" or FSM) that allows for the calculation of system-level power loss based on three input parameters. This model was developed through the statistical analysis of hundreds of thousands of shade scenarios modeled with a cell-level, 2-diode model. Model validation was performed using real systems under shaded conditions.
Fermilab silicon strip readout chip for BTEV

A chip has been developed for reading out the silicon strip detectors in the new BTEV colliding beam experiment at Fermilab. The chip has been designed in a 0.25 /spl mu/ CMOS technology for high radiation tolerance. Numerous programmable features have been added to the chip, such as setup for operation at different beam crossing intervals. A full size chip has been fabricated and successfully tested. The design philosophy, circuit features, and test results are presented in this paper.
Bidding Strategies With Fuel Supply Uncertainty in Auctions of Long-Term Energy Call Options

This work develops a stochastic optimization model for the creation of a bidding strategy for a generator in an energy call option auction similar to Brazil's, i.e., where the bidder can offer both the premium and the strike price. The objective of the model is to maximize the bidder's competitiveness while ensuring that the project's target rate of return is achieved with a given probability, for example 95%. The problem's complexity is compounded by uncertainties in fuel supply and the need to switch between fuels. The generators face the conundrum of bidding a single strike price to cover the expenses generated by using multiple types of fuels. We address the problem of finding bidding strategies which, taking into account uncertainty in fuel supply and risk constraints, set the combination of strike price and option premium that ensure a desired risk-adjusted return for greenfield dual-fuel thermal plants.
PV degradation methodology comparison — a basis for a standard

What is the best method to determine long-term PV system performance and degradation rates? Ideally, one universally applicable methodology would be desirable so that a single number could be derived. However, data sets vary in their attributes and evidence is presented that defining two methodologies may be preferable. Monte Carlo simulations of artificial performance data allowed investigation of different methodologies and their respective confidence intervals. Tradeoffs between different approaches were delineated, elucidating as to why two separate approaches may need to be included in a standard. Regression approaches tend to be preferable when data sets are less contaminated by seasonality, noise and occurrence of outliers although robust regression can significantly improve the accuracy when outliers are present. In the presence of outliers, marked seasonality, or strong soiling events, year-on-year approaches tend to outperform regression approaches.
LPV control design and experimental implementation for a magnetic bearing system

In this paper, a linear parameter-varying (LPV) control design method is evaluated experimentally on an active magnetic bearing (AMB) system. LMI synthesis conditions for control design of affine parameter-dependent systems using parameter-dependent Lyapunov functions are proposed. A speed-dependent LPV model of the AMB system is derived. Speed-dependent model uncertainties are identified using artificial neural networks (ANNs), and a parameter-dependent uncertainty weighting function is approximated for LPV control synthesis. Experiments are conducted to verify the robustness of LPV controllers for a wide range of rotor speeds. This LPV control approach eliminates the need for gain-scheduling, and provides better performance and less conservativeness over a wide range of rotational speeds than controllers designed with constant uncertainty weighting functions.
A Double-Ended ZVS Half-Bridge Zeta Converter

A new double-ended type zero-voltage switching (ZVS) half-bridge zeta (HBZ) converter employing a double-ended rectifier (DER) is proposed. The proposed DER for the HBZ converter provides a bidirectional powering path in the rectifier. As a result, the improved voltage waveform of the rectifier reduces the output filter size and voltage stresses on rectifier components. Moreover, it offers a wide ZVS range. In addition, to minimize the secondary snubber loss, a simple lossless snubber is adopted. The operational principles and characteristics of the proposed converter are to be analyzed and verified experimentally.
Nonlinear optical properties of some Au nanostructures

The investigation of the nonlinear optical response of various Au nanostructures has been recently accomplished in our laboratory and some selected results concerning the nonlinear optical properties of these nanostructures will be presented and discussed. In particular, the third-order nonlinear optical response of nanometer thick Au films and Au nano-island films, both deposited on transparent dielectric substrates, are going to be presented and discussed. In addition, the nonlinear optical response of Au nano-clusters encapsulated in block copolymer micelles will be also presented and compared with the other nanostructures. In all cases, the influence of the morphological characteristics of these structures on the nonlinear optical response will be discussed.
Damped-SOGI-Based Control Algorithm for Solar PV Power Generating System

This paper deals with two-stage solar photovoltaic (PV) system with a damped-second-order generalized integrator (SOGI) algorithm. Proposed topology not only integrates the PV energy to the grid, in addition, it provides the load compensation, power factor correction, and harmonics elimination. Therefore, a double stage system is proposed where the first stage is a dc–dc boost converter, which performs the maximum power point tracking by regulating its duty ratio. For extracting maximum power from the PV array, an incremental conductance-based approach is utilized. Moreover, in the next stage, a voltage source converter (VSC) is utilized. To control the VSC, a damped-SOGI algorithm is used. By using a damped-SOGI-based control algorithm, fundamental active components of load currents are extracted for evaluating the reference grid currents. After comparing reference grid currents with sensed grid currents, switching pulses for the grid tied VSC are produced. A prototype of the proposed system is developed in the laboratory and test results are presented for verification of control of solar photovoltaic system.
Utilisation of Cryolipolysis among Asians: A Review on Efficacy and Safety

Cryolipolysis is a non-invasive fat reduction method that is capable of reducing subcutaneous fat significantly without damaging surrounding tissues, by applying cold temperature to induce adipocyte apoptosis. Most of the clinical studies in cryolipolysis were conducted in the Caucasian population, and only a few numbers in Asian, who has darker skin with Fitzpatrick skin type III to V. Higher rate of pigmentary changes were reported with the use of cryotherapy in darker skin. Therefore, this report is aimed to provide a comprehensive review regarding utilisation, efficacy and safety profiles of cryolipolysis among Asians. Currently, there are only four clinical trials conducted exclusively in an Asian population. Two studies were conducted in Korea, whereas others in China and Thailand. Cryolipolysis was performed in the abdomen, arm, inner thighs, and submental regions. The reported side effects were mild and transient, including erythema, hematoma, numbness, and pain. There were no pigmentary changes reported. Although only limited data available, those studies have proved that cryolipolysis utilisation among Asians or darker skin types provides the same efficacy and safety profiles as in Caucasians. Therefore, cryolipolysis might be proposed as the first treatment choice for Asian patients who opted to do body contouring.
A voltage scale for electro-thermal runaway

A voltage scale, V<sub>s</sub> that characterizes electro-thermal runaway, is deduced from the heat conduction equation, V<sub>s</sub> = √k/σ'<sub>0</sub>, where k-is the thermal conductivity and σ'<sub>0</sub> is the rate of change of the electrical conductivity with respect to temperature. V<sub>s</sub> depends only on material properties and is independent of geometry and the operating voltage. V<sub>s</sub> measures the intrinsic tolerance of the material to electro-thermal instability. Numerical values of V<sub>s</sub> are consistent with the well-known properties of several common materials.
Selection of Efficient Crossover Operator in Metaheuristic Approach for 2D Strip Packing

The use of heuristics and metaheuristic approach has grown rapidly in solving combinatorial optimization problems as they provide an optimal or a sub optimal solution in reasonable time. In this paper, we proposed a metaheuristic approach to solve 2D-Strip packing problem. We have also carried out a comparative study with a pool of crossover operators to find the best coupled one with our approach. The exhaustive testing on a benchmark dataset shows the efficiency of the approach is to solve large instances in reasonable time. Amongst the various crossover operators used maximal preservative crossover is found to be most suitable. The conclusion is supported by the extensive testing on several instances from the literature.
A 15-bit 30-MS/s 145-mW three-step ADC for imaging applications

This paper describes the design and realization of a 15-bit 30-MS/s three-step ADC for imaging applications with a peak-to-peak signal to rms noise ratio (DRpp) of 85 dB. The offsets of the residue amplifiers are independently background calibrated. The ADC is realized in single-poly, 0.18-mum CMOS, measures 1.4 mm2, and dissipates 145 mW from 1.8-V and 3.3-V supplies
PROGENY PERFORMANCE AND PATHOGEN ATTACK RELATIVE TO ELEVATION IN A NEOTROPICAL TREE

Climate and resource availability at the parent tree location are known to explain progeny characteristics; however, few studies have examined the role of resistance or tolerance to pathogens, even though climate is a main driver of pathogen abundance. We hypothesize that climate at the parent tree location has a relatively greater influence on progeny resistance or tolerance to pathogens than other progeny characteristics, such as seed mass or seedling growth. As a study species we used the vulnerable Neotropical tree Kageneckia lanceolata known to be susceptible to damping-off diseases. We collected seeds from 60 trees along the species entire elevational gradient in central Argentina as a surrogate for climatic gradient and selected an ample array of parent tree sizes and rockiness under the crown as surrogate of tree access to resources. Seedling survival in a common nursery significantly increased with elevation of the parent tree from 40 to 80 % (P < 0.001), with damping-off being the only identified cause of mortality. We also found a non-significant trend suggesting that proportional growth during the cold semester increased with elevation (P = 0.083). Seed mass, germination, and growth of seedlings were not significantly influenced by elevation (P > 0.05). Parent tree size and rockiness were not related to any of the measured progeny characteristics. We conclude that the pathogenic environment around parental plants might have a great influence on progeny resistance or tolerance to pathogens and suggest that incorporating the pathogen dimension into future progeny studies may yield important findings. v.25 n.1 2019 PROGENY PERFORMANCE AND PATHOGEN ATTACK RELATIVE TO ELEVATION IN A NEOTROPICAL TREE