Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmacokinetics of berberine,palmatine,coptisine,epiberberine and jatrorr-hizine from Coptidis Rhizoma in diabetic rats

Aim:To investigate the pharmacokinetics of berberine,palmatine,coptisine,epiberberine and jatrorr-hizine from Coptidis Rhizoma in diabetic rats.Methods:C.Rhizoma extract (1.3 g/kg) was administered by oral gavage to the control rats and the diabetic rats induced by 6-week injection of streptozotocin.Blood samples (300 μL) were obtained from the oculi chorioideae vein before dosing and subsequently at selected intervals of 0.25,0.5,1.0,1.5,2,2.5,3,4,6,8,12 and 24 h following administration.The concentrations of five protoberberine-type alkaloids were determined by LC-MS and the concentration-time data were analyzed by non-compartmental method using DAS software.Results:Compared to those in the control,there existed 170%-330% increases in cmaxs and 150%-350% increases in AUC0-24s of the five protoberberine-type alkaloids in diabetic rats.Conclusion:Diabetes is responsible for the enhancements in the bioavailabilities of the five protoberberine-type alkaloids of C.Rhixzoma extract in rats,perhaps due to the pathological change in ADME.
Politeness Maxims by the Students of Mechanical Engineering State Polytechnic of Bali

This research aims at analyzing the application and the violation of politeness maxims by the students’ utterances of Mechanical Engineering Bali State Polytechnic whether the students are polite or not and at identifying which utterances are consider polite and which ones are not based on the six maxim of politeness. This research used descriptive qualitative method. It is important to maintain a good relationship between speaker and hearer to avoid hurting each other’s feelings. The results show that the language used by students in communicating with their friends are considered polite where the amount of politeness maxims application is much higher when compared to the violation of the maxims. The violations are only found in the tact maxim, approbation maxim, modesty maxim, and agreement maxim. The context of speech is also very helpful for students to speak politely for example, most of the contexts indicate that the students contact their friends because there is a need or interest they should discuss with their friends related to their social or educational communication maters. Keywords—politeness maxim, maxim violated, utterances
Muscovy Duck Parvovirus Infection with Epicarditis in Bali, Indonesia

Muscovy duck parvovirus (MDPV) is threatening industry and backyard Muscovy duck poultry throughout the world. Here, we confirmed its presence in Indonesia for the first time. The outbreak described in this study occurred in a small fatty liver (French: foie gras) industry in Tabanan, Bali, and affected ducklings aged 2–3 weeks. Although older Muscovy ducks were present at the facility, they did not present signs of illness. Among the ducklings, the morbidity and mortality rates were 100% and 90%, respectively. The initial incidence began on 15 June 2014 and ended a month later. It reoccurred in January 2015. Clinical signs were lethargy, anorexia, watery diarrhoea, and dyspnea. The most frequent pathological lesions were cardiac enlargement with pale pericardia, haemorrhage, and enlargement of the liver. Dominant histopathology features were severe enteritis, epicarditis, and hepatitis. Using polymerase chain reaction (PCR) and published primer pairs NS1/REP and VP1, MDPV infection was confirmed with whole DNA isolated from the heart and liver homogenates. Sequencing of the PCR products resulted in 900 bp NS1/REP and 1200 bp VP1 fragments specific to MDPV. The virus sequences from the two separated incidences were completely homologous with one another. Now that MDPV has been detected in Indonesia, it should be included in the differential diagnosis when evaluating ducklings with MDPV-associated symptoms.
A New Single-Phase Transformerless Grid-Connected Inverter With Boosting Ability and Common Ground Feature

A new scheme of single-phase transformerless grid-connected inverter is presented in this article. By employing the series–parallel switching conversion of the integrated switched-capacitor module in a packed unit, some attractive features for the proposed inverter can be obtained. Such promising features can be quantified as more than 97% overall efficiency for a wide range of output power, two-time boosting ability within a single-stage operation and almost total suppression of the leakage current through using the common grounding technique. In this case, a peak current controller strategy is used in order to trigger the gate of power switches and control both the active and reactive powers. Therefore, a tightly controlled current with an appropriate quality can be injected to the grid from a single source renewable energy resource. Operating procedure, design consideration, comparison study, and a 513 W built prototype results are also given to prove the correctness and feasibility of the proposed circuit.
ENHANCED TWI UNDER WALL PARAMETER UNCERTAINTY WITH THE PARAMETRIC SPARSE RECOVERY METHOD

In recent years, through-wall imaging (TWI) has gained much research interest because of urgent needs of civilian, security, and defense applications. TWI based on compressive sensing (CS) method can produce high resolution, assuming that the wall parameters are known in prior. However, it is difficult to know the exact wall parameters in actual scenarios. With unknown wall parameters, the dictionary matrix is not a fixed one. Therefore, CS theory cannot be directly applied in the TWI. This paper presents a parametric sparse recovery method for TWI with unknown wall parameters. The original reconstruction problem is reformulated into a joint optimization one which can be solved with an alternating minimization algorithm. Specifically, the proposed method performs the wall parameter estimation and sparse image reconstruction in an iterative procedure. With the estimated wall parameter which is or close to the true one, the high fidelity and high-resolution image is obtained. Experimental simulations show that the proposed method can obtain an autofocus image and improve the image quality.
Reconfigurable wide band wearable multiple input multiple output antenna with hanging resonator

This letter presents a two‐element textile‐based multiple input multiple output (MIMO) antenna with switchable dual wide band characteristics. The antenna is integrated with two switches enabled hanging resonators and a partial ground plane with funnel‐shaped DGS. It covers the spectra from 3.11 to 5.15 GHz in one and 4.81 to 7.39 GHz in another switching condition. The antenna satisfies the WiMAX/C‐band downlink (3.2‐3.8/3.7‐4.2 GHz) and WLAN/C‐band uplink (5.15‐5.35/5.72‐5.825/5.925‐6.425 GHz) application bands. The resonator structures provide very high port isolation of >19.5 and >21 dB in the lower and upper band, respectively. The proposed antenna offers suitable values of diversity parameters which include envelope correlation coefficient (ECC < 0.18), diversity gain (DG > 9.9 dB), and channel capacity loss (CCL < 0.2 BPS/Hz). The simulated results are found to be in close agreement with the measured outcomes from the experiments. The proposed antenna proves to be promising for wearable MIMO applications.
LightLock: User Identification System Using Light Intensity Readings on Smartphones

Sensor data on a user’s mobile device can often be used to identify the user for improving the security of smartphones in indoor environments. In this paper, we present a novel continuous user identification system called LightLock that collects light sensor data from a user’s smartphone and analyzes them to identify a specific user using a machine learning approach. We develop a multi-model system to extract four different feature vectors: (1) absolute time series (ATS); (2) auto-correlation function (ACF); (3) level crossing rate (LCR); and (4) peak readings detection (PRD). To show the feasibility of LightLock, we implemented an Android application and evaluated the performance of LightLock on the dataset collected during a period of 20 days. LightLock achieves over 98% accuracy in identifying a specific user. LightLock also provides an accurate and cost-less alternative solution to existing approaches that require explicit user-smartphone interaction or the high energy consumption of multiple sensors.
Research on TCM law of tuberculosis and related to objects indicators

Through inspected a large of literatures,this paper counted higher frequency of tuberculosis syndrome and formulates four diagnostic information collection form,then initially established the law of the syndrome of tuberculosis through investigation.In addition,through counted 260 cases of objective indicators of four diagnostic information collection form,summarized Th1(IL2)in TB patients was lower than control group(normal person),while Th2(TNF-a、IL6、IL10)group was higher than control group(normal person),at the same time,Th2(IL6)in deficiency of lung yin group arrived were highest,and lowest in deficiency of both qi and yin group.The result showed that patients with pulmonary tuberculosis were immunocompromised,and there are differences between the different syndromes
Comparison and analysis of permanent magnet vernier motors for low‐noise in‐wheel motor application

In this study, the permanent magnet vernier motors (PMVMs) with different external rotor topologies are investigated and compared to obtain the optimal topology, which can reduce the vibroacoustic noise and keep the excellent output performance. Firstly, the unipolar and bipolar PMVM motors with V-shape magnets are designed based on the torque and cost of the consequent-pole PMVM (CPMVM), which have the reduced unbalanced magnetic force (UMF). Then to evaluate the performances of PMVMs comprehensively, the characteristics including flux density, back-electromotive force, torque, the electromagnetic force and acoustic noise etc., are quantitatively investigated and compared by the finite element analysis (FEA). Finally, the modal parameters and acoustics noise spectrum of CPMVM are tested and compared with the noise FEA results, which verify the V-shape magnet PMVMs can reduce the UMF and low-frequency noise level by maintaining the output performance.
Prediction of Surface Roughness and Coefficient of Friction Using Artificial Neural Network in Tribotesting of Bio-Lubricants

Tribotesting is necessary to understand the behaviour of the material under various operating lubrication conditions. This paper deals with the training of an artificial neural network (ANN) model with Bio-lubricant properties and machining conditions for prediction of surface roughness and coefficient of friction in Tribotesting by Tool chip Tribometer. Experimental results obtained from Tool chip tribometer for tested bio-lubricants are compared with those obtained by ANN prediction. A good agreement in results recommends that a well trained neural network is competent enough to predict the parameters in Tribotesting process.
Reduction of Contact Force Fluctuation for Rotary Wear Test Apparatus

In electric railway systems, wear of current collector devices leads to high maintenance cost. To develop a cost reduction methodology, the wear behavior of current collector materials needs to be fully investigated. However, the wear test apparatuses currently in use cannot control the contact force between materials, and the contact force fluctuates. It is difficult to classify accurate conditions of a wear transition under contact force fluctuation. To solve this problem, we propose a force control system with acceleration and velocity feedbacks to suppress the force fluctuation. The positive feedback of acceleration compensates the periodic force fluctuation at frequencies according to the sliding velocity of rubbing surfaces. The velocity feedback compensates the force fluctuation caused by resonance. The proposed control system is validated by experiments using a prototype of a rotary wear test apparatus.
A simulation‐based optimization model for infrastructure planning for electric autonomous vehicle sharing

New transportation technologies (e.g., electric autonomous vehicles [EAVs]) and operation paradigms (e.g., car sharing) are discussed, researched, and to a small degree also deployed in recent years in response to rising energy crises and aggravating traffic congestions. In this research, we present a station‐based car‐sharing service system that integrates both EAV technologies and car‐sharing operations. Based on the simulation model, a dynamic and time‐continuous optimization model seeking a near‐optimum design of charging station location and EAV deployment is developed. By discretizing the model, we proposed a Monte Carlo simulation model to evaluate the total system cost for a given location and vehicle deployment design. A heuristic approach based on the genetic algorithm is developed to solve the system design of station location and vehicle deployment. A numerical test in Yantai City, China, is conducted to illustrate the effectiveness of the proposed model and to draw managerial insights into how the key parameters affect the system design.
Vector Tracking Loop-Based GNSS NLOS Detection and Correction: Algorithm Design and Performance Analysis

This article deals with the non-line-of-sight (NLOS) reception issue in the field of global navigation satellite system (GNSS). The NLOS reception has attracted a significant amount of attention because it is one of the main factors that limit the GNSS position accuracy in urban areas. In this article, we dig into the baseband signal processing level to explore a new solution to the NLOS detection and correction by means of the vector tracking loop (VTL). The NLOS effects on both conventional scalar tracking loops (STLs) and VTL are derived mathematically. Based on this, an NLOS detection algorithm is developed using metrics, such as the equivalent noise bandwidth, the time delay of multicorrelator peaks, as well as code discriminator outputs. Once detected, the NLOS-induced measurement error is corrected before being fed forward into the navigation estimator to improve the position accuracy. Two field tests in urban areas in Hong Kong are conducted to illustrate the effectiveness of the proposed method in real applications. The NLOS correction performance is also assessed using simulated NLOS receptions with controllable time delays and reflection coefficients, which reveals how the proposed algorithm performs in different NLOS scenarios.
Effect of Slot Opening Width on the Air-Gap Magnetic Field of a Direct Drive Permanent Magnet Motor

The direct drive permanent magnet motor (DDPMM) is a promising candidate for applications because of its high efficiency, high power density, and low maintenance costs. This study focused on the effect of slot opening width on the air-gap magnetic field of a DDPMM. An exact analytical model based on Fourier analysis was established to calculate the air-gap magnetic field. The analytical general solution of the air-gap magnetic field shows that the slot opening greatly affects the air-gap magnetic field distribution when the amount of the permanent magnet is constant. Then, the air-gap magnetic fields of the DDPMM with closed and open slots were compared at different positions. Furthermore, several finite-element models of motors composed of different numbers of unit motor were established based on the different slot opening widths to study the effect of slot opening width on the air-gap magnetic field. The results obtained using the finite element method verify that the slot opening width greatly affects the air-gap magnetic field.
3D Design Using Generative Adversarial Networks and Physics-Based Validation

The authors present a generative adversarial network (GAN) model that demonstrates how to generate 3D models in their native format so that they can be either evaluated using complex simulation environments or realized using methods such as additive manufacturing. Once initially trained, the GAN can create additional training data itself by generating new designs, evaluating them in a physics-based virtual environment, and adding the high performing ones to the training set. A case study involving a GAN model that is initially trained on 4045 3D aircraft models is used for demonstration, where a training data set that has been updated with GAN-generated and evaluated designs results in enhanced model generation, in both the geometric feasibility and performance of the designs. Z-tests on the performance scores of the generated aircraft models indicate a statistically significant improvement in the functionality of the generated models after three iterations of the training-evaluation process. In the case study, a number of techniques are explored to structure the generate-evaluate process in order to balance the need to generate feasible designs with the need for innovative designs.
Analytic Evaluation of Input Impedance of an Equilateral Triangular Dielectric Resonator Antenna

In this paper, analytical expressions are given to evaluate the input impedance of a probe-fed (inserted) Equilateral Triangular Dielectric Resonator Antenna (ETDRA) for different modes for the first time. Theoretical results are verified with measured data as found in the literature and data obtained using a 3D EM simulator HFSS for fundamental mode for arbitrary dimensions and relative permittivity . Good agreement is found between our theory and measured (and simulated) data.
Highly Efficient Fault-Tolerant Modular Embedded Thyristor Directed Converter for HVDC Applications

Modular multilevel converter containing half-bridge submodules (SMs) is the most preferred topology for high voltage dc (HVDC) applications. However, the inability to block/limit dc fault current and large number of capacitors requirement are some of its limitations. Recently, hybrid topologies utilizing thyristors for such applications have gained significant interest as they offer lower on-state voltage drop, higher reliability, and power handling capability. In this article, the modular embedded thyristor directed converter (METDC) is proposed, which uses series-connected thyristors as the high voltage switches and chain-links comprising of IGBT based half and full-bridge SMs. A control technique is proposed for force-commutation of thyristors by using full-bridge SMs for lagging loads, while they are naturally commutated for leading loads. The METDC offers wide operating range besides being fault tolerant. The results obtained from the METDC-HVDC model developed in PSCAD substantiate its ability to provide independent active and reactive power control required for HVDC application. The fault studies carried out validate the dc fault tolerant capability of METDC. The results obtained from the various ac fault/unbalanced case studies substantiate the efficacy of proposed controller to force-commutate the thyristors even during contingencies. Loss computation validates the ability of converter to provide higher efficiency.
Anytime motion planning for prehensile manipulation in dense clutter

ABSTRACT Many methods have been developed for planning the motion of robotic arms for picking and placing, ranging from local optimization to global search techniques, which are effective for sparsely placed objects. Dense clutter, however, still adversely affects the success rate, computation times, and quality of solutions in many real-world setups. The proposed method achieves high success ratio in clutter with anytime performance by returning solutions quickly and improving their quality over time. The method first explores the lower dimensional end effector's task space efficiently by ignoring the arm, and build a discrete approximation of a navigation function. This is performed online, without prior knowledge of the scene. Then, an informed sampling-based planner for the entire arm uses Jacobian-based steering to reach promising end effector poses given the task space guidance. This process is also comprehensive and allows the exploration of alternative paths over time if the task space guidance is misleading. This paper evaluates the proposed method against alternatives in picking or placing tasks among varying amounts of clutter for a variety of robotic manipulators with different end-effectors. The results suggest that the method reliably provides higher quality solution paths quicker, with a higher success rate relative to alternatives. GRAPHICAL ABSTRACT
Effect of Mixed-Flow Fans with a Newly Shaped Diffuser on Heat Stress of Dairy Cows Based on CFD

Mixed-flow fans (MFF) are widely used to reduce the heat stress in dairy cows in summer. Our research team developed MFFs with a newly shaped diffuser with the length of 250 mm and the circumferential angle of 150°, which have better performance in terms of maximum flow flux and energy efficiency. However, how the elevation angle of the diffuser influences the performance of MFFs and how the optimal fan perform in the field experiment has not been studied yet. In this paper, the diffuser was optimized by CFD (Computational Fluid Dynamics) simulation of the fan and a laboratory prototype test. An orthogonal test showed no interaction among length, circumferential angle, and elevation angle. The diffuser with an elevation angle of 10° performed better than that with an elevation angle of 0°, showing increased jet lengths, flow flux, and energy efficiency by 0.5 m, 0.69%, and 1.39%, respectively, and attaining greater axial wind speeds and better non-uniformity coefficients at the dairy cattle height. Then, through on-site controlled trials, we found that the 10°/150°/250 mm diffusers increased the overall average wind speeds by 9.4% with respect to the MFFs without a diffuser. MFFs with the newly shaped diffuser were used for field tests, and their effectiveness in alleviating heat stress in dairy cows was evaluated by testing environmental parameters and dairy cows’ physiological indicators. Although the temperature–humidity indexes (THIs) in the experimental barn with the optimized fan at different times were lower than those in the controlled barn, the environmental conditions corresponded to moderate heat stress. However, this was not consistent with cow's respiratory rate and rectal temperature. Finally, on the basis of the CFD simulation of a dairy cow barn, the equivalent temperature of cattle (ETIC), which takes into account the effect of air velocity, showed that the environment caused moderate heat stress only at 13:00, but not at other times of the day. This shows that ETIC is more accurate to evaluate heat stress.