462 research outputs found
Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows
This study presents a pioneering effort to replicate human neuromechanical
experiments within a virtual environment utilising a digital human model. By
employing MyoSuite, a state-of-the-art human motion simulation platform
enhanced by Reinforcement Learning (RL), multiple types of impedance
identification experiments of human elbow were replicated on a musculoskeletal
model. We compared the elbow movement controlled by an RL agent with the motion
of an actual human elbow in terms of the impedance identified in
torque-perturbation experiments. The findings reveal that the RL agent exhibits
higher elbow impedance to stabilise the target elbow motion under perturbation
than a human does, likely due to its shorter reaction time and superior sensory
capabilities. This study serves as a preliminary exploration into the potential
of virtual environment simulations for neuromechanical research, offering an
initial yet promising alternative to conventional experimental approaches. An
RL-controlled digital twin with complete musculoskeletal models of the human
body is expected to be useful in designing experiments and validating
rehabilitation theory before experiments on real human subjects.Comment: 8 pages, 5 figures; Submitted to WCCI-202
Effect of Freeze-Thaw Cycle on Shear Strength of Lime-Solidified Dispersion Soils
The freeze-thaw cycle of saline soil in the seasonal frozen area will produce diseases such as frost heave and thaw settlement, road frost boiling, collapse and uneven settlement. In order to reduce the occurrence of these undesirable phenomena, it is often necessary to improve the saline soil in engineering. In this paper, the typical carbonate saline soil in the west of Jilin Province, China is taken as the research object. By adding different content of lime (0%, 3%, 6%, 9%, 12%, 15%), the change of mechanical strength of lime solidified saline soil under different freeze-thaw cycles (0, 1, 3, 6, 10, 30, 60 times) is studied. The mechanical analysis is carried out by combining particle size analysis test and SEM image. The test results show that although repeated freeze-thaw cycles make the soil structure loose and the mechanical strength greatly reduced, the soil particles agglomerate obviously after adding lime, its dispersion is restrained by the flocculation of clay colloid, and the shear strength of soil is improved by the increase of the cohesive force between clay particles, and the optimal lime mixing ratio of the saline soil in this area is 9%
Towards General Low-Light Raw Noise Synthesis and Modeling
Modeling and synthesizing low-light raw noise is a fundamental problem for
computational photography and image processing applications. Although most
recent works have adopted physics-based models to synthesize noise, the
signal-independent noise in low-light conditions is far more complicated and
varies dramatically across camera sensors, which is beyond the description of
these models. To address this issue, we introduce a new perspective to
synthesize the signal-independent noise by a generative model. Specifically, we
synthesize the signal-dependent and signal-independent noise in a physics- and
learning-based manner, respectively. In this way, our method can be considered
as a general model, that is, it can simultaneously learn different noise
characteristics for different ISO levels and generalize to various sensors.
Subsequently, we present an effective multi-scale discriminator termed Fourier
transformer discriminator (FTD) to distinguish the noise distribution
accurately. Additionally, we collect a new low-light raw denoising (LRD)
dataset for training and benchmarking. Qualitative validation shows that the
noise generated by our proposed noise model can be highly similar to the real
noise in terms of distribution. Furthermore, extensive denoising experiments
demonstrate that our method performs favorably against state-of-the-art methods
on different sensors.Comment: 11 pages, 7 figures. Accepted by ICCV 202
Asymmetric cryorolling for fabrication of nanostructural aluminum sheets
Nanostructural Al 1050 sheets were produced using a novel method of asymmetric cryorolling under ratios of upper and down rolling velocities (RUDV) of 1.1, 1.2, 1.3, and 1.4. Sheets were rolled to about 0.17 mm from 1.5 mm. Both the strength and ductility of Al 1050 sheets increase with RUDVs. Tensile strength of Al sheets with the RUDV 1.4 is larger 22.3% of that for RUDV 1.1, which is 196 MPa. The TEM observations show the grain size is 360 nm when the RUDV is 1.1, and 211 nm for RUDV 1.4
Carpal tunnel syndrome caused by tophi deposited under the epineurium of the median nerve: A case report
IntroductionUsually caused by compression of the wrist's median nerve, carpal tunnel syndrome (CTS) is one of the most common types of peripheral neuropathy. Tophi deposited under the epineurium of the median nerve compress the median nerve, leading to CTS, which is very rare.Case presentationWe report a 64-year-old man with a history of tophaceous gout who presented with typical CTS symptoms and was admitted to our hospital. A physical examination revealed swelling over the right volar aspect of the carpal region, and he was unable to flex due to subcutaneous rigidity. Tinel's sign and Phalen's maneuver were positive. Electrophysiological studies confirmed the diagnosis of CTS. A carpal tunnel release and surgery to remove the gouty tophus of the right wrist were performed when serum uric acid levels were within normal limits (5.8 mg/dl). During the operation, tophi deposited under the epineurium of the median nerve were found, and the tophi were completely removed. Operative findings confirmed the diagnosis of CTS due to gout. The patient recovered uneventfully without signs of recurrence of gout and CTS symptoms during a 1-year follow-up period.ConclusionA gouty tophus is an uncommon cause of CTS, and CTS may be caused by gouty tophi if there is evidence of extrinsic compression of the median nerve or symptoms emanating from the carpal tunnel
Morphology and oil quality of introduced olive cultivars (Olea europaea L.) in southwest China
There are enormous benefits of olive cultivation in China. However, rare researches are reported about the morphological and oil qualitative characteristics of the introduced olive cultivars in southwest China. The characteristics of morphological and oil qualitative were investigated among seven introduced olive cultivars and an indigenous cultivar cultivated in southwest China. The results elucidated that all cultivars had adapted to a new environment and expressed unique characteristics. The Coratina, Koroneiki and Grossanne remained excellent oil cultivars with the fresh oil content of 20.42, 18.58 and 16.46%, respectively. The free acidity and peroxide value of olive oil were within the range of the extra virgin olive oil category. And the extracted olive oil was rich in unsaturated fatty acid, α-tocopherol, squalene, stigmasterol, β-sitosterol and phenolic compounds. Moreover, the olive cultivated in southwest China exhibited a higher content of moisture, oleic acid and unsaturated fatty acid compared to scientific studies. Therefore, the region of southwest China (Jintang), a new environment, was a potential for cultivation and development of olive in the future. In addition, the results can provide theoretical guidance for olive planting and cultivar selection in southwest China
An Improved Method on Static Binary Analysis to Enhance the Context-Sensitive CFI
Control Flow Integrity (CFI) is one of the most
promising technique to defend Code-Reuse Attacks (CRAs).
Traditional CFI Systems and recent Context-Sensitive CFI use coarse
control flow graphs (CFGs) to analyze whether the control flow
hijack occurs, left vast space for attackers at indirect call-sites. Coarse
CFGs make it difficult to decide which target to execute at indirect
control-flow transfers, and weaken the existing CFI systems actually.
It is an unsolved problem to extract CFGs precisely and perfectly
from binaries now. In this paper, we present an algorithm to get a
more precise CFG from binaries. Parameters are analyzed at indirect
call-sites and functions firstly. By comparing counts of parameters
prepared before call-sites and consumed by functions, targets of
indirect calls are reduced. Then the control flow would be more
constrained at indirect call-sites in runtime. Combined with CCFI,
we implement our policy. Experimental results on some popular
programs show that our approach is efficient. Further analysis show
that it can mitigate COOP and other advanced attacks
Fault Diagnosis of Motor Bearing by Analyzing a Video Clip
Conventional bearing fault diagnosis methods require specialized instruments to acquire signals that can reflect the health condition of the bearing. For instance, an accelerometer is used to acquire vibration signals, whereas an encoder is used to measure motor shaft speed. This study proposes a new method for simplifying the instruments for motor bearing fault diagnosis. Specifically, a video clip recording of a running bearing system is captured using a cellphone that is equipped with a camera and a microphone. The recorded video is subsequently analyzed to obtain the instantaneous frequency of rotation (IFR). The instantaneous fault characteristic frequency (IFCF) of the defective bearing is obtained by analyzing the sound signal that is recorded by the microphone. The fault characteristic order is calculated by dividing IFCF by IFR to identify the fault type of the bearing. The effectiveness and robustness of the proposed method are verified by a series of experiments. This study provides a simple, flexible, and effective solution for motor bearing fault diagnosis. Given that the signals are gathered using an affordable and accessible cellphone, the proposed method is proven suitable for diagnosing the health conditions of bearing systems that are located in remote areas where specialized instruments are unavailable or limited
Biphasic bisperoxovanadium administration and Schwann cell transplantation for repair after cervical contusive spinal cord injury
Schwann cells (SCs) hold promise for spinal cord injury (SCI) repair; however, there are limitations for its use as a lone treatment. We showed that acute inhibition of the phosphatase and tensin homolog deleted on chromosome ten (PTEN) by bisperoxovanadium (bpV) was neuroprotective and enhanced function following cervical hemicontusion SCI. We hypothesized that combining acute bpV therapy and delayed SC engraftment would further improve neuroprotection and recovery after cervical SCI. Adult female Sprague-Dawley (SD) rats were randomly sorted into 5 groups: sham, vehicle, bpV, SC transplantation, and bpV+SC transplantation. SCs were isolated from adult green fluorescent protein (GFP)-expressing SD rats (GFP-SCs). 200 μg/kg bpV(pic) was administered intraperitoneally (IP) twice daily for 7 days post-SCI in bpV-treated groups. GFP-SCs (1×10(6) in 5 μl medium) were transplanted into the lesion epicenter at the 8th day post-SCI. Forelimb function was tested for 10 weeks and histology was assessed. bpV alone significantly reduced lesion (by 40%, p<0.05) and cavitation (by 65%, p<0.05) and improved functional recovery (p<0.05) compared to injury alone. The combination promoted similar neuroprotection (p<0.01 vs. injury); however, GFP-SCs alone did not. Both SC-transplanted groups exhibited remarkable long-term SC survival, SMI-31(+) axon ingrowth and RECA-1(+) vasculature presence in the SC graft; however, bpV+SCs promoted an 89% greater axon-to-lesion ratio than SCs only. We concluded that bpV likely contributed largely to the neuroprotective and functional benefits while SCs facilitated considerable host-tissue interaction and modification. The combination of the two shows promise as an attractive strategy to enhance recovery after SCI
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