Miracle-dz/UniFAR-FTUs huggingface dataset:
Morphological and Chemical Analysis of Various Disposable Acupuncture Needles Used in South Korea

Objectives The Korean Industrial Standard (KS) for sterile acupuncture needles was established in 2009 based on research on the quality control of acupuncture needles. We aimed to determine the quality of acupuncture needles available in South Korea in 2021 by examining their surface condition and chemical composition using field-emission scanning electron microscopy (FE-SEM) and energy-dispersive X-ray spectroscopy (EDS). Methods In South Korea, there are 23 brands of acupuncture needles, and we examined 10-15 needles from each brand, resulting in a total of 285 needles. The microstructures of the needles were assessed by SEM. Using SEM images, we evaluated the acupuncture needle tips for the following defects/aspects scratches, lumps, detached coating, bent tip, and tip sharpness. EDS was used to determine the chemical composition of the selected acupuncture needles. Results Overall, 88.4% of 285 needles were found to have at least one type of abnormality. The most frequently observed abnormalities were scratches and dents on the surface (68.1%), followed by detached coating (63.2%), and lumps (61.8%); blunt tips were observed in about 24% of them. Of 252 needles with at least one defect, 86.9% had two or more types of defects. The ratio of the number of needles with any defect to that of needles without any defect varied among brands, ranging from 50% to 100%. Regarding foreign materials, higher proportions of Si and O were observed on the needles, indicating incomplete or detached silicone coating. Conclusion The quality of acupuncture needles varied among brands, suggesting that further improvements can be made through various inspection methods.
MDataEE: Analysis and Visualization of Multifactor Time Series Data

: The visualization of multifactor time series data and abnormal data is of great significance in improving the decision-making efficiency and other problems. Since different types of data have different characteristics, traditional visualization methods will face the challenges of complex graphics and low user observation efficiency when drawing such data. Therefore, an efficient visualization method MDataEE for exploring multifactor time series data and abnormal data is proposed. Firstly, the view of multiple kinds of data is simplified by visual mapping. Secondly, the rendering of coordinate axes is optimized according to the density and importance of data and visual perception. Finally, we added some interactive operations, such as displaying and hiding graphics and generating contrast views, so that users could explore different aspects of data freely according to their needs. The real-world PM 2.5 data set is used for the experimental tests in this paper. The results show that the proposed method can generate a concise visual view, which has
Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes

Abstract Objectives Knee joint distraction (KJD) has been associated with clinical and structural improvement and SF marker changes. The current objective was to analyse radiographic changes after KJD using an automatic artificial intelligence-based measurement method and relate these to clinical outcome and SF markers. Methods Twenty knee osteoarthritis patients were treated with KJD in regular care. Radiographs and WOMAC were collected before and ∼1 year post-treatment. SF was aspirated before, during and after treatment; biomarker levels were assessed by immunoassay. Radiographs were analysed to obtain compartmental minimum and standardized joint space width (JSW), Kellgren–Lawrence (KL) grades, compartmental joint space narrowing (JSN) scores, and osteophytosis and sclerosis scores. Results were analysed for the most affected compartment (MAC) and least affected compartment. Radiographic changes were analysed using the Wilcoxon signed rank test for categorical and paired t-test for continuous variables. Linear regression was used to calculate associations between changes in JSW, WOMAC pain and SF markers. Results Sixteen patients could be evaluated. JSW, KL and JSN improved in around half of the patients, significant only for MAC JSW (P < 0.05). MAC JSW change was positively associated with WOMAC pain change (P < 0.04). Greater monocyte chemoattractant protein 1 (MCP-1) and lower TGFβ-1 increases were significantly associated with changes in MAC JSW (P < 0.05). MCP-1 changes were positively associated with WOMAC pain changes (P < 0.05). Conclusion Automatic radiographic measurements show improved joint structure in most patients after KJD in regular care. MAC JSW increased significantly and was associated with SF biomarker level changes and even with improvements in pain as experienced by these patients.
Advances in Discrete-State-Feedback Stabilization of Highly Nonlinear Hybrid Systems by Razumikhin Technique

In this article, the authors apply the Razumikhin technique to investigate the stabilization of hybrid stochastic systems by feedback control based on discrete-time state observations, rather than the widely used comparison idea or Lyapunov functional method to this problem. Further, we extend the Razumikhin method to study the asymptotic boundedness of hybrid stochastic systems. The coefficients of these stochastic systems considered do not meet the usual linear growth condition, but are highly nonlinear. The control function designed can easily be implemented in reality. Meanwhile, a better bound for a class of stochastic systems could be obtained on the duration between two consecutive state observations comparing with the existing results. Two interesting examples, the application to stochastic volatility model and stochastic Cohen–Grossberg neural network, respectively, are provided to manifest the effectiveness of our new theory.
Global output regulation and disturbance attenuation with global stability via measurement feedback for a class of nonlinear systems

Considers the problem of global stabilization via output feedback for a class of nonlinear systems which have been previously considered by many authors and are characterized by having nonlinear terms depending only on the output y. The author's result incorporates many previous results. When static output feedback is considered, it is shown that the existence of an output control Lyapunov function, satisfying a suitable continuity property, is sufficient for constructing a continuous output feedback law u=k(y) which globally (or semiglobally) stabilizes the above class of systems. When dynamic output feedback is allowed, it is shown that the stabilization problem can be split into two independent stabilization subproblems: one is the corresponding problem via state feedback, and the other is the problem via output injection. From solving the two subproblems, one obtains two Lyapunov functions which, combined, give a candidate Lyapunov function for solving the output feedback stabilization problem. The proofs of the author's results give systematic procedures for constructing output feedback controllers, once two such Lyapunov functions are known. One can also consider the problem of output regulation and disturbance attenuation with global stability via measurement feedback and show that a similar "separation" condition holds.
Structural, morphological and piezoresponse studies of Pr and Sc co-substituted BiFeO3 ceramics

Pristine (BiFeO3), Pr and Sc co-substituted Bi0.9Pr0. 1Fe1−xScxO3 (0.01 ⩽ x ⩽ 0.07) ceramics have been investigated for their structural (including x-ray diffraction and Raman), morphological and piezoresponse behaviour. Secondary phases observed in pristine BiFeO3 (BFO) ceramic were significantly suppressed in the co-substituted samples. Grain size decreased in the co-substituted samples. Raman study revealed ten active phonon modes which remained almost invariant with co-substitution. Out-of-plane piezoresponse (OPP-PFM) exhibited negative self-polarization effect in the virgin state (without any poling) which has been explained in terms of built-in electric field. The self-polarization effect is largest in 3% Sc co-substituted sample. Poling with ±30 V dc voltage demonstrated both positive and negative domains. Maximum difference in the peak values (from histograms) of such opposite domains was observed in the Bi0.9Pr0. 1Fe0.99Sc0.01O3 sample. Information from local measurements (such as PFM) should be useful in deciding such multiferroic materials for device application.
Structure Functions of Electromagnetic Field Coupling in a Cavity Filled by Resonance-Size Magnetodielectric Spheres

ABSTRACT: A technique is suggested to effectively construct the structure functions of electromagnetic fields in a cavity filled by resonance-size magnetodielectric spheres. Expressions have been derived for the tensorial functions representing electromagnetic interactions of the magnetic and electric type in the cavity with spheres. The expressions obtained for the structure functions have been given a theoretical analysis.
FP-Net: Frontal Pose Estimation Based on Single Human Body Image withArbitrary View

: Accurate extraction of the frontal pose of the human body can assist behavior recognition, image generation, and virtually try-on work. However, side images and back images have problems, such as self-occlusion of the human body and invisible key points, which make the extraction of the frontal pose very difficult. Therefore, a frontal pose estimation network FP-Net (frontal pose network) based on single human body image at arbitrary view is designed and implemented. First, a multi-view human body image data set is produced to provide data support for model design. Second, in order to improve the accuracy of model prediction results, a regression module based on Anchor pose and a feature fusion module based on 3D pose are designed. Finally, FP-Net realizes the frontal pose extraction of human body images from arbitrary view. The PCK evaluation index is used for ablation experiments on the BJUT Taichi and CMU Pan-optic datasets. The results show that proposed method effectively improves the accuracy of the frontal pose estimation of the human body
Pathogenesis and Treatment of Diabetic Peripheral Neuropathy

Diabetic neuropathy is the most common chronic complication of both type 1 and type 2 diabetes mellitus. Diabetic peripheral neuropathy (DPN), especially, distal symmetric polyneuropathy is the most common form of diabetic neuropathy. Pathogenesis of the DPN is associated with glycemic dysregulation, which results in activation of polyol, aldose reductase, hexosamine, and protein kinase C pathway and leads to downstream inflammation, generation of reactive oxygen species, and decreased blood flow to peripheral nerves. Furthermore, metabolic syndrome components such as obesity, insulin resistance, and dyslipidemia result in mitochondrial dysfunction and endoplasmic reticulum stress, eventually contributing to axonal failure and apoptosis of nerve cells. Despite its high prevalence, DPN is still underdiagnosed. Among DPN symptoms, neuropathic pain is challenging to manage, resulting in increased risk of associated problems such as sleep disturbance, reduced quality of life, and socioeconomic consequences. Therefore, early diagnosis and active multidisciplinary treatment of DPN is needed.
Antifungal Activity of Thymol against Aspergillus awamori and Botrytis aclada Isolated from Stored Onion Bulbs

Abstract The antifungal activity of thymol against Aspergillus awamori F23 and Botrytis aclada F15 in onions was examined through direct treatment with amended media and gaseous treatment with I-plates (plastic plates containing central partitions). The protective and curative control efficacy of thymol was examined 24 h before and after the inoculation of onion bulbs with the fungal isolates. Mycelial growth, sporulation, and spore germination of the isolates were inhibited on potato dextrose agar amended with various concentrations of thymol or acetic acid (positive control). Overall, thymol produced a stronger inhibitory effect on the mycelial growth and development of the isolates than acetic acid. Following gaseous treatment in I-plates, mycelial growth, sporulation, and spore germination of the isolates were inhibited at higher concentrations of thymol or acetic acid; however, acetic acid showed a little effect on the sporulation and spore germination of the isolates. Following the treatment of onion bulbs with 1000 mg L−1 of thymol 24 h before and after fungal inoculation, lesion diameter was greatly reduced compared with that following treatment with 0.5% ethanol (solvent control). Onion bulbs sprayed with thymol 24 h before fungal inoculation generally showed reduced lesion diameters by isolate F23 but not in isolate F15 compared with those sprayed 24 h after fungal inoculation. Collectively, thymol effectively inhibited the growth and development of A. awamori and B. aclada on amended media and in I-plates. In addition, spraying or fumigation of thymol is more desirable for effectively controlling these postharvest fungal pathogens during long-term storage conditions.
On semi-simple Lie algebras

2. Let g be a Lie algebra over a field K, having finite dimension n > 0. A symmetric bilinear form +(X, Y) over g X g is called invariant if /([X, Y], Z) =c(X, [Y, Z]) identically. This is the case for the Killing form Tr(ad (X) ad ( Y)), where ad (X) is the endomorphism Y-[X, Y] of the vector space g. It is well known that when the Killing form of g is nondegenerate, g does not contain any abelian ideal $ (0) (one has only to remark that if a is such an ideal, and A Ea, then (ad (A) ad (X)) -0 for any X E g, by an elementary computation, hence Tr(ad(A) ad(X)) =0 for all XEg). E. Cartan's criterion is therefore a consequence of the more general result:'
Analysis of album comments based on NetEase Cloud Music

This paper aims to explore the user's comment behavior and the user's emotional tendency towards each song in the album. In this paper, the comments in the Netease Cloud Music are taken as the analysis objects, and Python is used as a tool to crawl data, clean data, segment words, generate themes, and analyze emotions. Finally, visual analysis is carried out through R language.
A compact polarimetric glucose sensor using a high-performance fibre-optic Faraday rotator

A compact high-efficiency Faraday rotator is constructed which uses a single-mode flint glass fibre as the Faraday element and a small-diameter toroidal electric coil as the magnetic system. Using a fibre Faraday rotator as the polarization modulator and/or the polarization compensator, glucose solution in the 10 mm long fused silica cell is detected with a high resolution of 0.01 g dl−1 in the wide measurement range of 0–25 g dl−1.
The stationary spatially periodic flows in Rayleigh-Taylor instability: solutions multitude and its dimension

For the first time the classical hydrodynamics problem of stationary solutions in Rayleigh-Taylor instability (RTI) has been studied for three-dimensional space periodical flow. The existence of RTI stationary solutions multitude is shown for the general case of flow symmetry. The multitude dimension in functional space is studied ab initio by analysing an initial perturbation symmetry in the instability linear stage. The relation between flow symmetry and solutions multitude is established. The description of the stationary solutions for flows with five symmorphic plane groups symmetry are given. The RTI stationary flow free boundaries problem is derived in the first and second orders of approximations. Velocity and Fourier-amplitudes dependencies as parameters functions are obtained. The symmetry violations are examined, the limiting transitions to well known cases of plane and "high" symmetry flows and their accuracy are outlined. The physical reasons of the obtained incorrectness for the free surface problem in Rayleigh-Taylor instability are discussed.
A means for computing the Kirchhoff surface integral for a disk radiator as a single integral with fixed limits

The evaluation of the Kirchhoff integral giving the acoustic field due to one surface of an unbaffled disk radiator has been carried out using cylindrical polar coordinates with a moveable origin. This system makes it possible to covert a fairly complicated surface double integral to a single integral with fixed limits for the purpose of computation.
An Interpretation of Sudden Warmings In Terms of Potential vorticity

Abstract A simple and concise interpretation of stratospheric sudden warmings is offered in terms Of the transient changes in the potential vorticity pattern. The warming is viewed as a manifestation of the reversal of the mean (zonally averaged) relative potential vorticity distribution over a deep layer of the stratosphere and mesosphere. The reversals of the mean zonal flow and of the latitudinal gradient of the mean temperature are regarded merely as accompanying features of the phenomenon. The linchpin of our interpretation is a particularly simple derived relationship between the wave potential vorticity and the mean relative potential vorticity of a quasi-geostrophic flow. This relationship points to the possibility of inducing a reversal of the mean relative potential vorticity distribution by purely transient wave forcing of the stratosphere by tropospheric flow. Furthermore, it indicates that the duration and amplitude of the wave-forcing, together with the transmission properties of the mean zo.
Core polarization in Ca I and Ca II

The effect of core polarization on binding energies, term splitting, fine structure, and transition probabilities is investigated for the low lying states 4s2S, 3d2D, 4p2P0 in Ca II and 4s2 1S, 4s4p1,3P0 in Ca I. Results from inclusions of core polarization in the form of model potentials are compared with explicit MCHF calculations, and the accuracy of the different approaches is discussed.
Contribution of the easy axis orientation, anisotropy distribution and dot size on the switching field distribution of bit patterned media

A magnetic nanostructure array was fabricated by post-patterning of a L10 ordered 5-nm-thick FePtCu film revealing a rather broad switching field distribution (SFD). The individual contributions to the SFD of the dot array were investigated by micromagnetic simulations. Based on transmission electron microscopy results, the dots show a truncated cone shape which was directly used for the finite element model. The influence of single parameters, i.e., easy axis distribution, magnetic anisotropy, and dot size, on the SFD was estimated quantitatively and compared. Furthermore, the influence of damage induced during the nanofabrication process was analyzed and correlated with experimental results.
Package ‘poweRlaw’

October 14, 2022 Type Package Title Analysis of Heavy Tailed Distributions Version 0.70. 6 Maintainer Colin Gillespie <csgillespie@gmail.com> Description An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region. License GPL-2 | GPL-3
Infertility (Non Conception) with Regular Menstruation Predisposes to Endometriosis – A Hypothesis Perspective Article

Endometriosis is the most challenging and intriguing gynecological enigma. The true incidence of pelvic endometriosis in women still remains largely unknown, despite several studies quoting variable figures. Chronic pelvic pain and infertility have been the most common features in women with endometriosis. However the cause/effect relationship is a subject of debate. Endometriosis is found to be more in nulliparous women & women with pelvic pain and rare among fertile women and women with amenorrhoea. We now believe that retrograde menstruation is probably the cause for the occurrence of pelvic endometriosis. We here propose that infertility or non conception with persistent menstruation most likely leads to endometriosis and not the other way around as is commonly believed
94-Marketing in Social Media

: With the development of science and technology, people search and browse a large amount of information more autonomously through social media platforms. Marketers are taking various measures to ensure that brand messages reach consumer audiences in response to this change. This article reviews previous research conducted by researchers focusing on social media platforms and summarizes common research theories and influencing factors. Finally, the authors put forward questions that can be studied in the future, providing a reference scheme for scholars and practitioners.
MIT Open Access Articles Traveling salesperson problems for a double integrator

— This technical note studies the following version of the Trav- eling Salesperson Problem (TSP) for a double integrator with bounded ve-locityandboundedcontrolinputs:givenasetofpointsin ,ﬁndthefastest tour over the point set. We ﬁrst give asymptotic bounds on the time taken to complete such a tour in the worst case. Then, we study a stochastic ver- sion of the TSP for a double integrator in and , where we propose novel algorithms that asymptotically perform within a constant factor of the optimal strategy with probability one. Lastly, we study a dynamic TSP in and , where we propose novel stabilizing algorithms whose perfor- mances are within a constant factor from the optimum.
Dynamic IoT Malware Detection in Android Systems Using Profile Hidden Markov Models

The prevalence of malware attacks that target IoT systems has raised an alarm and highlighted the need for efficient mechanisms to detect and defeat them. However, detecting malware is challenging, especially malware with new or unknown behaviors. The main problem is that malware can hide, so it cannot be detected easily. Furthermore, information about malware families is limited which restricts the amount of “big data” that is available for analysis. The motivation of this paper is two-fold. First, to introduce a new Profile Hidden Markov Model (PHMM) that can be used for both app analysis and classification in Android systems. Second, to dynamically identify suspicious calls while reducing infection risks of executed codes. We focused on Android systems, as they are more vulnerable than other IoT systems due to their ubiquitousness and sideloading features. The experimental results showed that the proposed Dynamic IoT malware Detection in Android Systems using PHMM (DIP) achieved superior performance when benchmarked against eight rival malware detection frameworks, showing up to 96.3% accuracy at 5% False Positive Rate (FP rate), 3% False Negative Rate (FN rate) and 94.9% F-measure.
Performance Analysis of Trading Strategy using Gradient Boosting Machine Learning and Genetic Algorithm

] In this study, we developed a system to dynamically balance a daily stock portfolio and performed trading simulations using gradient boosting and genetic algorithms. We collected various stock market data from stocks listed on the KOSPI and KOSDAQ markets, including investor-specific transaction data. Subsequently, we indexed the data as a preprocessing step, and used feature engineering to modify and generate variables for training. First, we experimentally compared the performance of three popular gradient boosting algorithms in terms of accuracy, precision, recall