Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of Rotational Object in Arbitrary Position Using Vortex Electromagnetic Waves

Detection of the rotational objects in arbitrary position, using vortex electromagnetic (EM) waves carrying orbital angular momentum (OAM), is studied in this paper. In addition to the traditional linear Doppler shift, the rotational Doppler shift in OAM-based radar system can provide more detailed features of the object. Firstly, the Doppler detection model in OAM-based radar system is established, the linear Doppler and rotational Doppler frequency shifts are derived and verified. Subsequently, the detection method of rotational object using vortex EM waves, including an effective linear and rotational Doppler separation and a motion parameter estimation method, is proposed. Theoretical and simulation results validate the effectiveness of the proposed method, and more detailed rotational parameters can be obtained by using vortex EM waves in OAM-based radar system, compared to the method using plane waves in conventional radar system.
A Nash Q-Learning Based Motion Decision Algorithm With Considering Interaction to Traffic Participants

In order to improve the efficiency and comfort of autonomous vehicles while ensuring safety, the decision algorithm needs to interact with human drivers, infer the most probable behavior and then makes advantageous decision. This paper proposes a Nash-Q learning based motion decision algorithm to consider the interaction. First, the local trajectory of surrounding vehicle is predicted by kinematic constraints, which can reflect the short-term motion trend. Then, the future action space is built based the predicted local trajectory that consists of five basis actions. With that, the Nash-Q learning process can be implemented by the game between these basis actions. By elimination of strictly dominated actions and the Lemke-Howson method, the autonomous vehicle can decide the optimal action and infer the behavior of surrounding vehicle. Finally, the lane merging scenario is built to test the performance contrast to the existing methods. The driver in loop experiment is further designed to verify the interaction performance in multi-vehicle traffic. The results show that the Nash-Q learning based algorithm can improve the efficiency and comfort by 15.75% and 20.71% to the Stackelberg game and the no-interaction method respectively while the safety is ensured. It can also make real-time interaction with human drivers in multi-vehicle traffic.
Have pure-play internet banks caught up with traditional and hybrid banks over the past decade

This paper investigates the performance of pure-play internet (PPI) banks compared to their traditional and hybrid counterparts over the past 18 years. All 11 surviving PPI banks were hand screened and matched with 110 control banks randomly selected based on total assets from the FDIC website. Our pooled OLS regressions with robust errors show that PPI banks have lower profitability and are less cost efficient than their counterparts. This may be because PPI banks still need time to accumulate experience and scale effects. PPI banks also do not attract more deposits or invest more in securities than traditional and hybrid banks. However, they do have less risk in terms of bad loans than traditional and hybrid comparables.
Spot Toyota: Design and Development of a Mobile Application for Toyota’s Promotion Actions to the Young Audience

Article history: Received: 21 April, 2020 Accepted: 29 May, 2020 Online: 20 June, 2020 This project aims to demonstrate the importance that digital media can have to the development of loyalty programs, namely in creating empathy and proximity relationships between brands and their target audience: young people. This study consisted of the creation of a digital platform for Toyota Portugal, named Spot Toyota, to communicate actions promoted by the car brand, especially during music festivals. With the support of advertising agency Caetsu, this mobile application was developed to bring the brand closer to a younger audience – festival fans – with potential interest in two Toyota fleet car models: Aygo and C-HR. Through strategies typical of loyalty programs, such as the awarding of vouchers or coupons, the accumulation of points or winning prizes, a system was produced with the main focus on attracting users to the platform in a continuity perspective. The working process of this investigation resulted in the design of a smartphone application, based not only on the analysis of other examples present in the market but also on the understanding of crucial subjects such as loyalty programs, UX and UI design, application of personas models, creation of wireframes and workflows, and development of usability tests.
Transient Thermal Characterization for GaN HEMTs with p-Type Gate

This paper discusses a transient thermal testing approach for Gallium Nitride High Electron Mobility Transistor (GaN HEMT) with p-type gate. Conventional transient thermal characterization methods for Si (Silicon) based device have difficulties in characterizing GaN HEMTs. The non-ideal characteristics of such power devices make thermal characterization difficult. The proposed transient thermal characterization method for GaN HEMTs uses the knee voltage of PN junction in gate and source of GaN HEMT as a junction temperature sensor. The proposed method enables the acquisi-tion of the time response of temperature with sufficient accuracy. The proposed method is validated on a commercially-available GaN HEMT device.
Preclinical evaluation of antidepressant activity of aqueous extract of Piper betle leaves in Swiss albino mice

Background: There is a growing demand for alternative medicines derived from indigenous plants having natural antioxidants and neuroprotective actions for the treatment of many behavioural disorders such as anxiety and depression. This study was designed to screen antidepressant activity of aqueous extract of Piper betle L. leaf (betel leaf) in Swiss albino mice.Methods: Swiss albino mice of both sexes weighing 25-30grams were used in the present study. Piper betle leaves aqueous extract (PBAE) was administered to the animals at a dose of 100, 200mg/kg body weight orally for 14 days. On the 14th day, after 1 hour of PBAE administration, experiments on force swim test (FST) and tail suspension (TST) were carried out for studying the level of depression. In FST and TST, time of immobility was noted for a period of 5 minutes.Results: Data was analyzed by one-way ANOVA followed by Tukey Kramer’s multiple comparison test at P = 0.05. The results were represented as Mean±SE. PBAE at a dose of 100mg/kg has shown significant antidepressant activity, as evidenced by decrease in the immobility time in both the screening tests of depression.Conclusions: Present results demonstrated that PBAE possess potent antidepressant property. The exact mechanism(s) related to the active compound(s) in Piper betle leaf extract have to be elucidated in future studies.
CALIBRATION OF THE AFFDL 50 MEGAWATT ARC HEATED HYPERSONIC WIND TUNNEL WITH A TWO-FOOT NOZZLE

Abstract : The study consisted of the experimental investigation of test flow in an arc heated hypersonic wind tunnel. These tests utilized a high voltage DC arc heater which operated at input powers in excess of 50 megawatts and provided reservoir pressures ranging from 100 to 1500 psi and bulk enthalpies from 1500 to 4000 BTU/lb. Local free stream measurements of pitot pressure, mass flux, stagnation point heat transfer rate and wall static pressures were obtained at the exit of a nominal two-foot diameter conical nozzle. Stagnation enthalpy profiles at the nozzle exit became peaked at high stagnation pressures. From these data, center line enthalpies as high as 6500 BTU/lb were indicated in the flow. Selective comparisons between one-dimensional expansion theory and experiment are presented. At a reservoir enthalpy of approximately 2500 BTU/lb and for stagnation pressure in excess of 500 psi the expanded flow data were in good agreement with equilibrium expansion theory. However, below 500 psi the data compared more closely with nonequilibrium theory with the flow frozen downstream of the nozzle throat.
Multiple Open-Switch Fault Diagnosis for Five-Phase Permanent Magnet Machine Utilizing Currents in Stationary Reference Frame

Apart from the passive fault-tolerant control strategies, any active fault-tolerant strategy requires a timely fault diagnosis signal to trigger the control reconfiguration under asymmetric condition. This article proposes a fault diagnosis method where the inherent relationship between fundamental and third harmonic stationary reference currents is established by declaring two new groups of current-based variables. Then two distinct fault characteristics of current performance in the transient conversion from healthy to faulty operation are derived. Based on the fault characteristics, a fast, robust and easy-implemented diagnosis algorithm is proposed based on currents in stationary reference frame to address the multiple open-switch fault diagnosis in five-phase permanent magnet machines. In order to verify the effectiveness of the proposed algorithm, a series of experiments have been conducted and the results indicate the strong robustness even under load variation and the valid diagnosis to each type of faults are performed. Moreover, the proposed method possesses favorable generality and can be extended to other multiphase machines.
A Millimeter-Wave (V-Band) Dual-Circular-Polarized Horn Antenna Based on an Inbuilt Monogroove Polarizer

In this letter, a high-performance dual circularly polarized (CP) circular waveguide horn antenna operating in the V-band (54–60 GHz) is analyzed, built, and tested. The antenna is designed from a cylindrical waveguide section and consists of two mutually orthogonal side-fed ports, a mono-groove, and a conical horn section. The mono-groove is an annulus sector placed at 45° with respect to both the input ports and provides a phase delay of 90° to generate right-hand circular polarization (RHCP) and left-hand circular polarization (LHCP). Simulation results show that the proposed CP horn antenna has interport isolation more than 15 dB, axial ratio (AR) below 2.2 dB, and polarization isolation over 25 dB in the impedance matching bandwidth from 54 to 60 GHz. Also, the proposed antenna provides symmetric radiation patterns. A prototype of this antenna has been fabricated using computer numerical control (CNC) machining technique. The experimental results show good agreement with the simulation results.
Exponentially decreasing distributions for the logarithm of particle size

The family of continuous type distributions such that the logarithm of the probability (density) function is a hyperbola (or, in several dimensions, a hyperboloid) is introduced and investigated. It is, among other things, shown that a distribution of this kind is a mixture of normal distributions. As to applications, the paper focuses on the mass-size distribution of aeolian sand deposits, with particular reference to the findings of R. A. Bagnold. The distribution family seems, however, to be of some potential usefulness in other concrete contexts too.
Shaped Elevation Beam Design for Airborne Conformal Array Detection

When airborne early warning radar performs beam scanning, there are often various requirements for the shape of the beam and sidelobe levels. In this letter, the design of elevation beamforming for airborne conformal radar and the beam shape required for its detection are analyzed. The optimization introduces an amplitude control variable into the modified Bernstein polynomial to obtain lower sidelobe levels of arrays, which is useful for early warning radar detection. Particle swarm optimization is used to optimize the modified Bernstein polynomial parameters with the amplitude control variable and phase. The results demonstrate that the excitation amplitude optimized by this method and phase optimized randomly can achieve the beam shape required for airborne conformal array detection. Furthermore, modified Bernstein polynomials defined with five and six parameters are compared. The introduction of an amplitude control variable produces lower sidelobes, and the optimized amplitude distribution is smoother, making it easier to feed the array.
pvl-carried methicillin resistant Staphylococcus aureus isolated from hospitalized patients in Baghdad, Iraq

Out of 150 different specimens, 67 S. aureus isolate were isolated. However, 16sRNA gene was located only in 60 isolates. Moreover, mecA gene was located in 48 isolates; thereby MRSA covered 80% of all S. aureus isolates. Of considerable interest, pvl gene was detected in only six isolates (10%). Hence, the present work emphasizes the notion suggested that pvl is not an indicative of CA-MRSA.
Remote Sensing Image Scene Classification Based on Object Relationship Reasoning CNN

Remote sensing image has been widely used in many fields such as military reconnaissance and earthquake relief. However, the complexity and diversity of the scene make the target detection and recognition performance poor. Convolutional neural networks (CNNs) have made breakthrough in remote sensing image processing due to their ability to extract deep features. This letter proposes a remote sensing image scene recognition method based on object relationship reasoning CNN (ORRCNN), which makes use of the relationship between objects to infer the scene information. The method has prior scene-information-based channel and object-detection-based channel to classify the remote sensing image. The prior scene-information-based channel makes use of the feature space to identify the scene, and the object-detection-based channel adopts the relationship between the object and the scene to classify the scene. Afterward, the Bayesian criterion infers the scene more accurately by means of fusing the scene information from the above channels. The experimental results show that the proposed method is excellent especially in the scene where there are iconic objects in the remote image.
Hepatotoxicity during 6-thioguanine treatment in inflammatory bowel disease and childhood acute lymphoblastic leukaemia: A systematic review

Background The recently established association between higher levels of DNA-incorporated thioguanine nucleotides and lower relapse risk in childhood acute lymphoblastic leukaemia (ALL) calls for reassessment of prolonged 6-thioguanine (6TG) treatment, while avoiding the risk of hepatotoxicity. Objectives To assess the incidence of hepatotoxicity in patients treated with 6TG, and to explore if a safe dose of continuous 6TG can be established. Data sources Databases, conference proceedings, and reference lists of included studies were systematically searched for 6TG and synonyms from 1998–2018. Methods We included studies of patients with ALL or inflammatory bowel disorder (IBD) treated with 6TG, excluding studies with 6TG as part of an intensive chemotherapy regimen. We uploaded a protocol to PROSPERO (registration number CRD42018089424). Database and manual searches yielded 1823 unique records. Of these, 395 full-texts were screened for eligibility. Finally, 134 reports representing 42 studies were included. Results and conclusions We included data from 42 studies of ALL and IBD patients; four randomised controlled trials (RCTs) including 3,993 patients, 20 observational studies including 796 patients, and 18 case reports including 60 patients. Hepatotoxicity in the form of sinusoidal obstruction syndrome (SOS) occurred in 9–25% of the ALL patients in two of the four included RCTs using 6TG doses of 40–60 mg/m2/day, and long-term hepatotoxicity in the form of nodular regenerative hyperplasia (NRH) was reported in 2.5%. In IBD patients treated with 6TG doses of approximately 23 mg/m2/day, NRH occurred in 14% of patients; SOS has not been reported. At a 6TG dose of approximately 12 mg/m2/day, NRH was reported in 6% of IBD patients, which is similar to the background incidence. According to this review, doses at or below 12 mg/m2/day are rarely associated with notable hepatotoxicity and can probably be considered safe.
Mitochondrial DNA in Siberian conifers indicates multiple postglacial colonization centers

The geographic variation of the mitochondrial DNA in Siberian fir (Abies sibirica Ledeb.) was studied using the newly developed markers and compared with the phylogeographic pattern of another previously studied Siberian conifer, Siberian larch (Larix sibirica Ledeb.). Similar to Siberian larch, the distribution of mtDNA haplotypes in Siberian fir revealed clear differentiation among distinct geographic regions of southern Siberia and the Urals, likely indicating postglacial recolonization from several sources. The northern part of the range of both species was genetically homogeneous, which is probably due to its recent colonization from one of the glacial refugia. This conclusion is in agreement with published pollen and macrofossil data in Siberian fir and with the reconstruction of environmental niches indicating a dramatic reduction of the range and a likely survival of fir in certain southern areas during the Last Glacial Maximum (LGM), 21 thousand years ago. Although the modeling of the Siberian larch ecological niche reconstructed a shift of the range to the south at that period, the paleontological data indicated the presence of this species in most areas of the current range during LGM, which corresponds to the results of a previous historical demographic study suggesting that the population expansion preceding the LGM.
Subgrid Combustion Modeling for the Next Generation National Combustion Code

In the first year of this research, a subgrid turbulent mixing and combustion methodology developed earlier at Georgia Tech has been provided to researchers at NASA/GRC for incorporation into the next generation National Combustion Code (called NCCLES hereafter). A key feature of this approach is that scalar mixing and combustion processes are simulated within the LES grid using a stochastic 1D model. The subgrid simulation approach recovers locally molecular diffusion and reaction kinetics exactly without requiring closure and thus, provides an attractive feature to simulate complex, highly turbulent reacting flows of interest. Data acquisition algorithms and statistical analysis strategies and routines to analyze NCCLES results have also been provided to NASA/GRC. The overall goal of this research is to systematically develop and implement LES capability into the current NCC. For this purpose, issues regarding initialization and running LES are also addressed in the collaborative effort. In parallel to this technology transfer effort (that is continuously on going), research has also been underway at Georgia Tech to enhance the LES capability to tackle more complex flows. In particular, subgrid scalar mixing and combustion method has been evaluated in three distinctly different flow field in order to demonstrate its generality: (a) Flame-Turbulence Interactions using premixed combustion, (b) Spatially evolving supersonic mixing layers, and (c) Temporal single and two-phase mixing layers. The configurations chosen are such that they can be implemented in NCCLES and used to evaluate the ability of the new code. Future development and validation will be in spray combustion in gas turbine engine and supersonic scalar mixing.
mSHINE: A Multiple-Meta-Paths Simultaneous Learning Framework for Heterogeneous Information Network Embedding

Heterogeneous information networks(HINs) become popular in recent years for its strong capability of modelling objects with abundant information using explicit network structure. Network embedding has been proved as an effective method to convert information networks into lower-dimensional space, whereas the core information can be well preserved. However, traditional network embedding algorithms are sub-optimal in capturing rich while potentially incompatible semantics provided by HINs. To address this issue, a novel meta-path-based HIN representation learning framework named mSHINE is designed to simultaneously learn multiple node representations for different meta-paths. More specifically, one representation learning module inspired by the RNN structure is developed and multiple node representations can be learned simultaneously, where each representation is associated with one respective meta-path. By measuring the relevance between nodes with the designed objective function, the learned module can be applied in downstream link prediction tasks. A set of criteria for selecting initial meta-paths is proposed as the other module in mSHINE which is important to reduce the optimal meta-path selection cost when no prior knowledge of suitable meta-paths is available. To corroborate the effectiveness of mSHINE, extensive experimental studies including node classification and link prediction are conducted on five real-world datasets. The results demonstrate that mSHINE outperforms other state-of-the-art HIN embedding methods.
Comparative analysis between transportation modes for sustainability perspective in one metropolitan region of southern Brazil

Columbus, Ohio, United States *guilherme.benitez@hotmail.com Abstract Paper aims: The objective is to make a comparative analysis between different transportation modes used in the Metropolitan Region of Porto Alegre and to analyze its performance in relation to time, cost and carbon emissions. Originality: Investigation of the urban mobility situation on the perspective of sustainability in a Latin American city, including the analysis of Uber pool, implemented in November 2018 in the metropolitan region analyzed. Research method : A case study was carried out in the metropolitan area of Porto Alegre, as well as the definition of 4 different routes used as unit of analysis for different types of transportation modes. Main findings: Riding bicycle is a very convenient transportation mode in terms of its environmental perspectives and costs. However, the time of locomotion using bicycle is superior in relation to other modes of transportation. Therefore, riding a private car still stands out in the comparisons between different types of transport, since it is a faster mode of transportation. Implications for theory and practice: As riding bicycle is a very convenient transportation mode, we highlight the importance of encouraging its use. People can benefit from practicing physical exercise while moving from one place to another and also benefit the
Do Women’s Parliamentary Representation Increase Government Health Spending in Sub-Saharan Africa?

It is widely recognized in the literature that the increased political participation of marginalized sections of the population allows their interests to be taken into account in public policies. At the same time, in Sub-Saharan Africa, the percentage of women parliamentarians rose from 12.1% in 2000 to 24% in 2019. Likewise, health systems are characterized by public underfunding, limited accessibility of health services, and relatively weak maternal and child health indicators. This article evaluates the effect of women’s parliamentary representation on government health spending in a sample of 39 sub-Saharan African countries over the period 2000-2017. The estimates made with fixed effects method, random effects method and panel-corrected standard errors method reveal that government health expenditure increases with the proportion of seats in parliament occupied by women. Therefore, this study advocates for the increase of women participation and representation in political and decision-making spheres. Keywords: Women political participation, health, government health spending, panel data, sub-Sahara Africa DOI: 10.7176/JESD/11-18-09 Publication date: September 30 th 2020