Miracle-dz/UniFAR-FTUs huggingface dataset:
HEPATOPROTECTIVE EFFECTS OF TURMERIC AND MILK THISTLE SEED FLOUR AGAINST ETHANOL LIVER DAMAGE IN WISTER RATS

Chemical composition of milk thistle seed flour )MTSF) and turmeric (T) were investigated, for milk thistle seed flour, moisture (8.0%), protein (13.0 %), carbohydrates (27.55%), crude lipid (15.0%), ash (10.45%), and crude fiber (26.0%), while turmeric has moisture (8.1%) , protein (9.3 %), carbohydrates (57%), crude lipid (17.0%), ash (6.0%) and crude fiber (2.6%). For total phenol, the highest value in turmeric (11.57mg GAE/g) while milk thistle seed flour (3.39 mg GAE/g)) also total flavonoid for turmeric (4.9mg) while and in milk thistle seed flour (2.34mg). DPPH for milk thistle recorded the highest percent of (FRSA) 98.5 % and turmeric recorded lowest present 82.2% in concentration 100 μg/ml. Reducing power for milk thistle recorded 0.651 but turmeric (T) recorded 0.502 in concentration 100 μg/ml . The identification of phenolic compounds for plant extracts were investigated by HPLC ,the highest content in milk thistle seed flour (MTSF) was Benzoic acid (103.33 ppm) while the lowest content was Caffeine(1.07 ppm) but in turmeric(T) the highest content was Benzoic acid (208.41 ppm), while the lowest content was quercitin (3.08 ppm). The level of plasma aspartate aminotransferase (AST) , alanine aminotransferase (ALT) , alkaline phosphatase (ALP) , total bilirubin , total protein and albumin and plasma antioxidant state SOD , CAT, GPx and MDA were determined to assay hepatotoxicity.
Fast estimation techniques for digital control of resonant converters

Series resonant converters based on a transistor inverter, a transformer, a series capacitor and a rectifier with buffer capacitor find widespread application today. They provide soft switching and are thus of interest when low EMI and reduced switching losses are required. Due to the high quality factor of the corresponding resonant circuit, formed by the leakage inductance of the transformer and the series capacitor, the operation point of a converter strongly depends on the ratio of the control frequency to the resonant frequency. This may cause problems for the control if the resonant frequency changes. The problem can be solved by a fast control algorithm presented in this paper. It estimates the unknown or variable resonant frequency of a series resonant converter by successive measurement of the converter current at certain time instants within a conduction period. As a result the converter frequency can continuously follow the resonant frequency of the system, which leads to a perfect matching (sinusoidal current and ZCS). The algorithm has been implemented in a DSP (TMS320LF2407) and successfully proved experimentally. Furthermore, it is shown how the estimation principle can be adapted for a low speed DSP and for a simple 8-b /spl mu/C.
A prescription for exercise in systemic lupus erythematosus

Patients with systemic lupus erythematosus (SLE) have increased cardiovascular risk, and fatigue is a major subjective complaint. Sedentary lifestyle has been shown to have negative health impacts in cardiovascular and rheumatic disease, though exercise has not traditionally been incorporated into routine therapy recommendations. Regular exercise in SLE may improve difficult to treat Type 2 symptoms, such as fatigue, depression, stress, and quality of life. Insufficient counseling on exercise by physicians is a notable barrier for SLE patients to engage in physical activity. Aerobic exercise regimens are more commonly studied, and have been shown to improve cardiovascular health in SLE. Exercise may improve some inflammatory markers, though does not definitively affect SLE clinical disease activity. Physical activity should be recommended to improve quality of life and cardiovascular health in patients with SLE. Developing clearer guidelines for exercise regimens in a patient-centered manner is warranted, especially given diverse phenotypes of SLE patients and varying degrees of physical limitations.
Research on the Development Process and Trend of Unmanned Aerial Vehicle

UAV technology plays an increasingly important role in modern warfare. This paper introduces the development of UAV technology and equipment, improving the situation, pointing out the advantages and importance of the development of UAV technology in modern warfare, focusing on the performance of several UAV technology and its characteristics Finally, discusses the development trends and analysis of UAV technology.
Hydrologic impacts of land-use changes in coastal plain watersheds

Conservation programs developed and implemented by the USDA have led to land-use changes of large areas throughout the U.S. These changes in land-use may lead to changes in evapotranspiration and infiltration and subsequently to dramatic differences in hydrologic response. The impact of recent land-use changes was evaluated using observed precipitation and streamflow data from the Little River watershed in south-central Georgia in the U.S. Land-use patterns within the watershed were examined through classification of satellite images collected from 1975 to 2003. While some changes in land-use were determined, analysis of the data indicated that the overall changes were less than the typical classification errors obtained. Based on the analysis of the satellite imagery, conservation practices implemented in the Little River watershed have not significantly altered total forest acreage. In addition, 34 years of hydrologic data collected from this watershed do not indicate any significant changes in hydrologic patterns. The long-term average ratio of annual flow to annual precipitation for the Little River watershed has remained stable at approximately 0.27. Year-to-year variation of the ratio varied from a high of 0.41 observed during a year with above-normal winter rainfall to 0.06 observed during a year with very low annual rainfall. When subwatersheds of the Little River were compared, significant differences in their responsiveness to rainfall were found. Linear regression between precipitation and streamflow produced regression coefficients between 0.62 and 0.90. These differences were attributed to differences in physical characteristics and land-use. Long-term data from the watersheds indicate that streamflow response is dominated by annual and seasonal precipitation characteristics.
Map Construction Based on LiDAR Vision Inertial Multi-Sensor Fusion

In order to make up for the shortcomings of independent sensors and provide more reliable estimation, a multi-sensor fusion framework for simultaneous localization and mapping is proposed in this paper. Firstly, the light detection and ranging (LiDAR) point cloud is screened in the front-end processing to eliminate abnormal points and improve the positioning and mapping accuracy. Secondly, for the problem of false detection when the LiDAR is surrounded by repeated structures, the intensity value of the laser point cloud is used as the screening condition to screen out robust visual features with high distance confidence, for the purpose of softening. Then, the initial factor, registration factor, inertial measurement units (IMU) factor and loop factor are inserted into the factor graph. A factor graph optimization algorithm based on a Bayesian tree is used for incremental optimization estimation to realize the data fusion. The algorithm was tested in campus and real road environments. The experimental results show that the proposed algorithm can realize state estimation and map construction with high accuracy and strong robustness.
How Much Energy Needs for Running Energy Harvesting Powered Wireless Sensor Node?

Abstract There is a big challenge for research and industrial engineers to apply energy harvesting powered wireless sensors for practical applications. This is because wireless sensors is very power hungry while current energy harvesting systems can only harvest very limited energy from the ambient environment. In order for wireless sensors to be operated based on the limited energy harvested, understanding of power consumption of wireless sensors is the first task for implementation of energy harvesting powered wireless sensors systems. In this research an energy consumption model has been introduced for wireless sensor nodes and the power consumption in the life cycle of wireless communication sensors, consisting of JN5148 microcontroller and custom built sensors: a 3-axial accelerometer, a temperature sensor and a light sensor, has been studied. All measurements are based on a custom-built test bed. The power required carrying out a life cycle of wireless sensing and transmission is analysed. This paper describes how to analyse the current consumption of the system in active mode and thus power Consumption for sleeping and deployed sensors mode. The results show how much energy needs to run the energy harvesting powered wireless sensor node with JN5148 microcontroller.
Impact Noise and Vibration Sources Induced by Heavy Gym Activities: Do They in Turn Unnecessarily, Indirectly Affect Our Health?

‘Good health and wellbeing’ is one of the key United Nations sustainable development goals (SDGs). By ensuring healthy lives and promoting positive wellbeing, physical and mental activities have been encouraged for all at all ages. In recent decades, fitness culture and industry has significantly grown in many countries to enhance healthy lives and positive wellbeing. With the vigorous development of the fitness industry, a gym has become one of the common facilities within a neighborhood or on a campus in order to promote more and more people to participate in fitness activities. At the same time, the rapid increase in gym construction also provides more employment opportunities for professional fitness coaches. On the other hand, excessive noises and vibrations stemming from certain heavy gym activities can be observed. Accordingly, the NIHL (noise-induced hearing loss) in a gym should receive more attention. According to critical literature reviews, the high-intensity noise in gyms is mainly caused by the drops of heavy steel bars or dumbbells. Today, most gyms adopt cushioned flooring in specific areas, but the effectiveness of noise suppression still needs to be evaluated. The purpose of this study was to investigate the possibility of hearing loss caused by noise doses in a gym. Noises derived from heavy gym sources (i.e., lifting of heavy weights) were monitored and collected for analyses in order to estimate the risk of NIHL in a traditional gym, as well as to assess the measurements against the authoritative criteria to derive some technical guidelines for fitness and gym managers. The outcome of this study will improve insights into acoustic monitoring techniques and practical management within a gym environment.
Efficient and selective removal of cesium from aqueous solution using copper hexacyanoferrate nanoparticles supported on poly(methacrylic acid-co-itaconic acid)

A new poly(methacrylic acid-co-itaconic acid) [poly(MAA-co-IA)] hydrogel encapsulated copper hexacyanoferrate (CuHCF) nanoparticles was synthesized. The prepared samples were characterized by Fourier-transform infrared spectroscopy, scanning electron microscopy, energy-dispersive X-ray, transmission electron microscopy, X-ray diffraction, and thermogravimetric analysis–differential scanning calorimetry. The prepared composite CuHCF/poly(MAA-co-IA) was examined for adsorption of Cs+ by batch technique. The effect of various factors like solution pH, Cs+ initial concentration, agitation time, the temperature of the solution, and competition ions was investigated. CuHCF/poly(MAA-co-IA) composite exhibited high adsorption capacity (1.48 mmol g−1) of Cs+ occur at a pH equal to 9, initial concentration of 8 mmol L−1 Cs+ at room temperature (25°C). The adsorption of Cs+ was kinetically rapid, and the equilibrium was reached within 40 min. Between Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich isotherms models, the data were well fitted with the Langmuir model, suggesting that the uptake of Cs+ was monolayer and homogeneous. The adsorption kinetics parameters were fitted well to the pseudo-secondorder model, and the Elovich equation indicated that chemisorption is the predominant adsorption mechanism. The intraparticle diffusion model shows that more than one controlling step may influence Cs+ loading. Thermodynamic parameters were calculated in the temperature range of 25°C–55°C and revealed that Cs+ sorption was endothermic, spontaneous, and more favourable at the higher temperature. The selectivity of the composite for Cs+ in the existence of Na+ and K+, Li+, Ca++ Mg++ ions was exceptional. Up to 98% desorption of Cs+ was completed with 2M KCl.
Guidance of unmanned underwater vehicles: experimental results

This paper addresses the problem of guidance of unmanned underwater vehicles. In the framework of a two layered hierarchical architecture uncoupling the system dynamics and kinematics, a couple of guidance laws for approaching a target with the desired orientation and following an environmental feature has been designed with Lyapunov-based techniques. Suitable acoustic-based estimators of the corresponding operational variables have been designed and integrated with the guidance and control system. Experimental results of pool trials of a prototype UUV executing free-space maneuvering and wall-following tasks are reported and discussed.
Motion Magnification Based Damage Detection Using High Speed Video

Structural system identification and damage detection is an important engineering challenge due to the increase in aging infrastructure in the United States. In order to identify a structural system or detect structural damage, measured responses of structures are used for structural identification and damage detection. Typically the acceleration response is measured, although displacement responses inherently have more information of structural dynamic behavior than acceleration or velocity. In this paper a displacement measurement methodology using high-speed video, previously proposed using the motion magnification algorithm and optical flow, is used as the input for a damage detection algorithm using an unscented Kalman filter. This noncontact displacement measurement methodology has advantages; it does not require a time consuming instrumentation process and does not add any additional mass to the structure. However, the methodology still needs improvement due to its higher noise level relative to traditional accelerometer and laser vibrometer measurements. In order to detect structural damage using displacements measured from high speed video, an unscented Kalman filter is used to simultaneously remove noise from the displacement measurement and identify the current stiffness and damping coefficient values of the structure assuming a known mass. To validate the damage detection method, a numerical state-space formulation is derived for the structural system. While traditional formulations for unscented Kalman filter based approaches require such information to predict structural parameters such as stiffness and damping, however this newly derived dynamic formation does not require external forcing information. Experimental tests are carried out to test the proposed method. Steel cantilever beams are tested with bolt-loosening of the boundary condition connection as a damage scenario. The experimental results show reasonable predictions of the stiffness and damping values compared to simple dynamic analysis calculations of the beam. doi: 10.12783/SHM2015/294
How Do Designers Deal With Uncertainty

Uncertainty touches most aspects of life and cannot be avoided, anybody is frequently presented with situations wherein a decision must be made when he/she is uncertain of exactly how to proceed. Narrow down into Information Systems (IS) field, uncertainty could be regarded as a basic but difficult problem that every HCI designer need to deal with within their design process. The purpose of this thesis is to find out how do human-computer interaction (HCI) practitioners deal with the uncertainty in their daily work. Based on this purpose, we assume that design approaches could be the methods for the designers to deal with uncertainty. There is however very few existing research on how to deal with uncertainty. In this study, we firstly categorized the uncertainty into a logical taxonomy, also ranked four design approaches by the extent of user involvement. We interviewed five HCI practitioners in different organizations that are or were working as designers. We found that most uncertainties are resulted from their customers, which can also be the most difficult to handle by them. In order to solve uncertainty, the designers need to make a good communication with others in specific situation, and some of them also proposed other practical solutions, such as “Role Play” and “Instinct Follower”. Additionally, the designers all proposed that the relationship between uncertainty and design approaches can be weak or inexistent. Interestingly, modest user involvement can be a helper for designers to solve or avoid uncertainty in the design process.
A Proposal of a Clutch Mechanism for 6DOF Haptic Devices

This paper describes a new clutch mechanism named ”Dual Shell Method” which enables the users to intuitively operate a pointer in VR space. It is so named because it is comprised of two shells, with a small shell inside a larger one. Both shells’ center positions correspond to the center of the interface device. This system changes clutch state according to grip position of an interface device. First, grip position in device space and the pointer in VR space are connected. In this state, the clutch state is ON. If the grip reaches the outer shell, which is the edge of the interface device, the clutch state turns OFF automatically. Then the grip and pointer are no longer connected. To turn the clutch state ON, a user is required to move the grip into the inner shell. The ”Dual Shell Methods” is more natural than manual clutching, because clutch state can be changed automatically, so user do not have to keep their attention on the device space. Results of the experiments conducted to assess the effectiveness of this method are presented.
Cross‐Vivaldi antenna for breast tumor detection

Observation of cross‐polarized reflections has been proposed for radar‐based breast tumor detection. In this article, a novel cross‐Vivaldi antenna is designed and investigated for this application. The antenna performance is examined over the frequency range of 2.2–5.4 GHz. Results obtained through simulations and experiments demonstrate the ability of the antenna to detect tumors in three‐dimensional (3D) breast models. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 275–280, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24037
Characterization of the Molecular Mechanisms of Resistance against DMI Fungicides in Cercospora beticola Populations from the Czech Republic

Cercospora leaf spot (CLS), caused by the fungal pathogen Cercospora beticola, is the most important foliar pathogen of sugar beet worldwide. Extensive reliance on fungicides to manage CLS has resulted in the evolution of fungicide resistance in C. beticola worldwide, including populations in the Czech Republic. One important class of fungicides used to manage CLS is the sterol demethylation inhibitors (DMI). The aim of our study was to assess DMI resistance in C. beticola from the Czech Republic and elucidate the molecular basis of DMI resistance in this population. A total of 50 isolates were collected in 2018 and 2019 from the major sugar beet growing regions of the Czech Republic and assessed for in vitro sensitivity to the DMI fungicides propiconazole, prochloraz, and epoxiconazole. These analyses identified three strains that exhibited 50% effective concentration (EC50) values > 1.0 μg mL–1 against respective fungicides, which were therefore considered resistant. In contrast, strains that exhibited lowest EC50 values were considered sensitive. To explore the molecular basis of resistance in these three strains, the cytochrome P450-dependent sterol 14α-demethylase (Cyp51) gene was sequenced. Sequence analysis identified a Y464S mutation in all three resistant strains. To assess whether Cyp51 gene expression may play a role in DMI resistance, selected strains were grown in vitro with and without fungicide treatment. These analyses indicated that Cyp51 gene expression was significantly induced after fungicide treatment. Thus, we conclude that Y464S point mutation along with induced Cyp51 gene overexpression is likely responsible for resistance against DMI fungicides in C. beticola from the Czech Republic.
Effects of embedding depth and load eccentricity on lateral response of offshore monopiles in dense sand: A centrifuge study

Two model piles with outer diameter D = 50 mm are loaded laterally at 100×g in a large-beam geotechnical centrifuge. The normal strains on both the tensile and compressive sides are measured using fibre Bragg gratings. An incremental method is introduced to define the pivot point. The testing and analytical program enables the effect of the embedding depth and load eccentricity to be quantified. The key findings are as follows. 1) The piles generate asymmetric tensile and compressive strains during bending, and the tension-compression asymmetry becomes more pronounced at the pile toe and for shorter piles. 2) The piles transition from flexure to rotation as the embedding depth is decreased from 9D to 3D, where the uniqueness of the ground-level rotation and deflection (θg–yg) relationship disappears. 3) The reaction and deflection (P–y) relationship flattens with increasing embedding depth but seems independent of the load eccentricity.
Mobility-Aware Resource Allocation for mmWave IAB Networks via Multi-Agent RL

MmWave communications are expected to provide huge wireless access data rates. However, mmWave signals are strongly affected by high path losses and blockages, which can only be partially alleviated by directional phased-array antennas. This makes mmWave networks coverage-limited, thus requiring network densification. 3GPP has introduced Integrated Access and Backhaul (IAB) architecture as a cost-effective solution. Resource allocation in IAB networks is complicated because it has to cope with directional transmissions, device heterogeneity, intermittent links, and mobile users. While traditional optimization techniques usually struggle in these scenarios, we believe Reinforcement Learning (RL) techniques, especially Multi-Agent RL (MARL), can implicitly capture environment dynamics and lead to interference coordination among nodes. In this paper, we propose an MARL-based framework that shows remarkable effectiveness in addressing flow allocation and link scheduling for mmWave 5G IAB networks in scenarios with random obstacles and mobile users.