Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultrasound Intervention Techniques in Patellar Tendinopathy: A Review

It had been accepted that pain cause by o v e r u s e te n d i n o p a t h i e s h a s a n o n inflammator y mechanism, however, a recently published work has suggested that chronic tendinopathy may be an active process of tendon degeneration with close relation w ith inf lammation-mediated responses, among the structural findings are mucoid degeneration and angiofibroblastic neoplasia, therefore the term tendinopathy has been introduced [4, 5, 6, 7, 8]. The intensity of pain in patellar tendinopathy appears to be more related to the number of newly formed vessels that are observed during a Doppler ultrasound than to the volume of blood in those vessels [9]. In the Doppler ultrasound diagnosis, images that reveal hypoechogenicity, focal sonolucent regions (cysts), intratendinous calcification, and neovascular infiltration can be observed. Conservative treatment is the first available option which includes eccentric physical therapy, cold therapy treatment, activity modif ication, and nonsteroidal antiinflammatory drugs that could lead to several long-term side effects [4, 5]. Persistent cases can also be treated with ultrasound , shock waves , sc lerosing inject ions , plasma-r ich platelets , or percutaneous electrolysis in combination w i t h e c c e n t r i c e x e rc i s e s . A l t h o u g h conservative treatment has high success rates, in some cases, failure can lead to prolonged disability. When conservative treatment for more than 6 months has not proven successful, surgical treatment is indicated. Approximately 10% of patients do not respond and subsequently undergo surgery, mainly due to the chronic nature of their symptoms. Arthroscopic techniques, open procedures, and percutaneous tenotomy have been described; however, recovery time is a crucial issue for elite athletes [4].
NEURON-NET: SIAMESE NETWORK FOR ANOMALY DETECTION Technical

This paper describes our submission to the DCASE 2020 challenge Task 2 ”Unsupervised Detection of Anomalous Sounds for Machine Condition Monitoring. ” Acoustic-based machine condition monitoring is a challenging task with a very unbalanced training dataset. In this submission, we combine the Siamese Network feature extractor with KNN anomaly detection algorithm. Experiment results prove it to be a viable approach with an average AUC 85 and 0.1-AUC of 77.1. This is a novel approach and have not been used by NeuronSW SE so far.
The Immediate Effects of Kinesio Taping on Lumbar Range of Motions

This study aims at determining the initial effects of kinesio taping (KT) applied to erector spinae muscle on lumbar flexion, extension and lateral flexion range of motions (ROM). Pre-post parallel controlled trial study was conducted on twenty healthy subjects divided equally into two groups (KT and placebo). Lumbar spine flexibility was evaluated using tape measure method for all lumbar tested motions. KT group showed significantly improve lumbar flexion ROM, yielded an increment of 9.9 cm compared with placebo group (9.9 cm, t (9) = -4.265, p = 0.002). However, no significant differences were discovered for lumbar extension (-0.9 cm, t (9) = 1.132, p = 0.287), right lumbar lateral flexion (1.2 cm, t (9) = -1.964, p = 0.081) and left lumbar lateral flexion ROM (0.8 cm, t(9) = -1.633, p = 0.137). The ANCOVA adjusted change scores revealed that the KT group demonstrated a very large effect size in lumbar flexion ROM. Meanwhile, trivial and moderate effect sizes were identified in lumbar extension and lateral flexion ROM respectively. Hence, the KT positively influences erector spinae muscle, allowing improvements in the active lumbar flexion ROM immediately after the application of KT.
Decision Tree Guided Multi-Class Support Vector Machines with Dynamic Class Selections

Large-scale terrorism datasets are inherently different from other political science datasets in that they are mostly incomplete owing to the clandestine nature of the very phenomenon they seek to capture. This problem is compounded by two important factors: event-based terrorism databases generally rely on news reports that rarely provide full facts about these incidents, and perpetrators of these acts usually prefer not to disclose their identity or supply reliable data on their activities. The unclaimed terrorist attacks thus pose some challenging inference problems for researchers interested in using such datasets to test hypotheses related to terrorist groups. In this paper, I attempt to solve this problem of missing data for the most comprehensive event-based terrorism dataset Global Terrorism Dataset (GTD) , by using machine learning algorithms. I ﬁrst use Multivariate Imputation by Chained Equations (MICE) to impute missing event characteristics (such as types of attack, weapon, and target, numbers of killed and wounded, and etc.), and then use these complete attributes as predictors in a novel Decision-Tree guided Multi-class Support Vector Machine algorithm to attribute unclaimed terror attacks to known terror groups. I classify all of the events that are listed as having unknown perpetrators, which accounts for half of the entire dataset, by comparing their properties with information obtained from events whose perpetrators are known.
Production control of a manufacturing system with multiple machine states

The production control of a single-product manufacturing system with arbitrary number of machine states (failure modes) is discussed. The objective is to find a production policy that would meet the demand for the product with minimum average inventory or backlog cost. The optimal production policy has a special structure and is called a hedging-point policy. If the hedging points are known, the optimal production rate is readily specified. Assuming a set of tentative hedging points, the simple structure of the optimal policy is utilized to find the steady-state probability distribution of the surplus (inventory or backlog). Once this function is determined, the average surplus cost is easily calculated in terms of the values of the hedging points. The average cost is then minimized to find the optimum hedging points. >
Molecular Immune Targeted Imaging of Tumor Microenvironment

Novel targeted therapies are rapidly emerging for the treatment of cancer. With the advent of new immune targeting agents, understanding the changes in the tumor microenvironment (TME) is critical. Given the complexity and several cellular mechanisms and factors that play a role in the TME, novel imaging methods to assess and evaluate the dynamic changes in the TME during treatment are needed. Several techniques are being developed for imaging TME including optical, fluorescence and photoacoustic methods. Positron emission tomography (PET) imaging can be used to track the dynamics of different molecular targets in the TME in live animals and in humans. Several novel PET imaging probes including radiolabeled antibodies, antibody fragments, and small molecules have been developed with many more that are under development preclinically and in early human studies. This review is a brief overview of some of the PET agents that are either in the preclinical developmental phase or undergoing early clinical studies.
The three-dimensional construction of leaves is coordinated with water use efﬁciency in conifers

needles of other genera, showed lower mesophyll porosity, decreasing the relative mesophyll volume. This led to increased ratios of stomatal pore number per mesophyll or intercellular airspace volume, which emerged as powerful explanatory variables, predicting both stomatal conductance and WUE i . (cid:1) Our results clarify how the three-dimensional organisation of tissues within the leaf has a direct impact on plant water use and carbon uptake. By identifying a suite of structural traits that inﬂuence important physiological functions, our ﬁndings can help to understand how conifers may respond to the pressures exerted by climate change.
Study on the Development of Health Care Industry in Liaoning Province under the Background of Population Aging

At present, the problem of population aging in China has become increasingly prominent. The aging of the population will not only bring certain pressure to social security and public services, but also continuously affect the vitality of social development, innovation and potential economic growth efficiency. Under this background, the old-age service model must be constantly innovated. As a health care industry model relying on the primary, secondary and tertiary industries and integrating medical care, health, tourism and culture, it has gradually become a new social pension service supply model. As a new business model, the health care industry model can not only provide high-quality old-age services to alleviate the shortage of social old-age services, but also play an important role in stimulating economic growth, adjusting industrial structure and solving labor employment. At present, the development opportunities and challenges of health care industry in Liaoning Province coexist. In view of the current development problems of health care industry in Liaoning Province, this paper puts forward specific countermeasures to promote the high-quality development of health care industry in Liaoning Province.
GENERAL FULL IMPLICIT STRONG TAYLOR APPROXIMATIONS FOR STIFF STOCHASTIC DIFFERENTIAL EQUATIONS

In this paper, we present the backward stochastic Taylor expansions for a Ito process, including backward Ito-Taylor expansions and backward Stratonovich-Taylor expansions. We construct the general full implicit strong Taylor approximations (including Ito-Taylor and Stratonovich-Taylor schemes) with implicitness in both the deterministic and the stochastic terms for the stiff stochastic differential equations (SSDE) by employing truncations of backward stochastic Taylor expansions. We demonstrate that these schemes will converge strongly with corresponding order 1, 2, 3, . Mean-square stability has been investigated for full implicit strong Stratonovich-Taylor scheme with order 2, and it has larger meansquare stability region than the explicit and the semi-implicit strong Stratonovich-Taylor schemes with order 2. We can improve the stability of simulations considerably without too much additional computational effort by using our full implicit schemes. The full implicit strong Taylor schemes allow a larger range of time step sizes than other schemes and are suitable for SSDE with stiffness on both the drift and the diffusion terms. Our numerical experiment show these points. Mathematics subject classification: 65C30, 60H35.
HEALTH BENEFITS OF FERMENTED COLOSTRUM-A REVIEW

Colostrum is the secretion produced by the mammary gland following parturition and transfers the passive immunity gained by the mother to the baby. Colostrum is a mixture of carbohydrates, proteins, growth factors, blood cells and immunoglobulins. Recent studies suggest that in order to improve the biological function of colostrum it is fermented with kefir grains enhanced with selected yeasts, for the development of new nutraceutical and cosmeceutical products. The symbiotic consortia of microorganism produces bioactive peptides with effects against microbial pathogens, cholesterol-lowering capacity and blood pressure-lowering effects, mainly due to inhibition of angiotensin converting enzyme (ACE), antithrombotic and antioxidant activities, opioid, cytoand immuno-modulatory effects. The present article is a review of the current understanding of the colostrum composition and how it can be improved to an exceptionally safe and useful nutraceutical product.
Visualizing Yelp Ratings: Interactive Analysis and Comparison of Businesses

- In this paper, we present an interactive tool for visualizing customer reviews from the Yelp dataset. The goal was to provide a way for businesses to visualize their review data. These visualizations can aid business owners in understanding how their performance compares with other businesses of similar type category or location, to make more informed decisions that could improve their success. We used the open dataset from the Yelp Dataset Challenge and focused our analysis on one city to gain a more thorough understanding. We present the findings of the various methods we decided to filter the dataset and display the corresponding review information.
GTQC: Automated Genotyping Array Quality Control and Report

Genotyping array is the most economical approach for conducting large-scale genome-wide genetic association studies. Thorough quality control is key to generating high integrity genotyping data and robust results. Quality control of genotyping array is generally a complicated process, as it requires intensive manual labor in implementing the established protocols and curating a comprehensive quality report. There is an urgent need to reduce manual intervention via an automated quality control process. Based on previously established protocols and strategies, we developed an R package GTQC (GenoTyping Quality Control) to automate a majority of the quality control steps for general array genotyping data. GTQC covers a comprehensive spectrum of genotype data quality metrics and produces a detailed HTML report comprising tables and figures. Here, we describe the concepts underpinning GTQC and demonstrate its effectiveness using a real genotyping dataset. R package GTQC streamlines a majority of the quality control steps and produces a detailed HTML report on a plethora of quality control metrics, thus enabling a swift and rigorous data quality inspection prior to downstream GWAS and related analyses. By significantly cutting down on the time on genotyping quality control procedures, GTQC ensures maximum utilization of available resources and minimizes waste and inefficient allocation of manual efforts. GTQC tool can be accessed at https://github.com/slzhao/GTQC.
Detecting Muscle Cocontraction Through Sliding Window Gaussian Processes

Muscle cocontraction has always used electromyographic data to detected in muscles. Previous works have given multiple intuitions on when cocontraction occurs. The use of a sliding window to create a collection of overlapping Gaussian processes are proposed, where the similarity/differences in the data are represented by nearby kernel hyperparameter values. Given a dataset of motion capture data of a subject doing a variety of traces, this approach is then analyzed and shown to be an effective means of detecting muscle cocontraction in a human elbow joint.
1- Editorial July IJRA.cdr

Enhanced recovery after surgery (ERAS) is a multimodal, perioperative care pathway designed to achieve early recovery for patients undergoing major surgery. [1] Initially described by Henry Kehlet in 1995 for colonic surgeries, the enhanced recovery pathways have now evolved and are now validated for more than 30 different types of surgery which include but are not limited to emergency laparotomy, neonatal surgeries, and lower segment cesarean sections. [2] Not only is the patient benefited from this by having an enhanced recovery and early discharge from the hospital, the cost of treatment is reduced and also leads to more turnover of patients thereby reducing the waiting list of patients scheduled for various surgeries. [3]
A qualitative mapping of Darkweb marketplaces

Darkweb marketplaces have evolved greatly since the rise of the Silk Road in 2011, the first platform of its kind, and have become a highly profitable underground trading ecosystem, which provides anonymity for both buyers and sellers. Law enforcement along with researchers, have been successful in taking down marketplaces over the years. However, the combination of mechanisms implemented by these platforms (e.g. payment mechanisms, cryptocurrencies, trust systems), along with the success of the Tor network’s anonymity properties, have made marketplaces much more enticing to users, while providing ease of access and use, as well as resilience against hostile actions. Through qualitative methods, this paper presents a mapping of darkweb marketplaces. We systematically investigate the operation of 41 marketplaces, along with 35 vendor shops, and gather information about the mechanisms and features implemented. Additionally, to acquire real world information, we explore the marketplaces’ integrated forums, as well as 3 popular independent ones, focusing on discussions between vendors, buyers and marketplace owners, on topics related to illegal trading. We believe that gaining an up-to-date and deep understanding of the framework that marketplaces are built upon, is the first step towards discovering weak spots in the cyber security product and service market, with the disruption of its operation being the ultimate goal.
AN APPLICATION OF KINECT-BASED 3D SCANNING IN BIOMEDICAL ENGINEERING

This paper approaches the study on the use of a low-cost Kinect sensor for 3D scans and 3D reconstructions of human surfaces. The Kinect depth sensor used in this work is based on a webcam-style device and dedicated software. It uses a structured light technique in order to scan and reconstruct 3D surfaces. The target surface was the human head and the aim was to manufacture an orthotic mask for patients with traumatic burn injuries of the face. Method: The study was made in order to observe the applicability of the Kinect-based 3D scans in the case of anatomic surfaces with concavities. Anatomic surfaces of a human head were scanned and 3D-reconstructed using the Kinect sensor and the Skanect software. Following some 3D image processing, a customized acrylic face mask was fabricated from the 3D-reconstructed mesh of the head. Orthotic masks may be applied in the case of facial burns in order to provide a small pressure over the burns. Results: The study shows the applicability of the Kinect-based 3D scans in the case of anatomic surfaces with rounded concavities and especially in the case of patients with burn injuries of the face. This study is among the first approaches to the application of the scanning of burn injuries with a Kinect device.
Prepared for submission to JHEP

It was argued in [1] that the Volkov-Akulov (VA) model as well as similar models in supergravity and the related KKLT model in string theory, suffer from tachyonic instabilities due to goldstino condensation. The authors of [1] constructed a specific model with two unconstrained interacting chiral superfields with linearly realized supersymmetry which has an unstable vacuum. They claimed that this model becomes equivalent to the VA model in the UV limit. We show that the UV limit of their model is discontinuous, and the vacuum instability of the model proposed in [1] is not relevant to the VA model, to related models in supergravity, and to the KKLT construction. ar X iv :2 20 6. 04 21 0v 1 [ he pth ] 9 J un 2 02 2
Recent Advances in Deep Learning-based Smoke Removal Techniques for Laparoscopic Images

: The visibility of the operating fields can be severely deteriorated by endoscopic smoke generated during laparoscopic surgery due to laser ablation and cauterization. Clinical studies have shown that removing smoke effects to laparoscopic images from the operating room reduces operating time and makes surgeons more comfortable during the procedure. Desmoking approaches based on deep learning have been found to be effective in the removal of laparoscopic smoke. This research will review several cutting-edge strategies for underlying theory and performance evaluations that have been developed in recent years
Visualization of Flow of Circulating Tumor Cells and Blood Cell Suspensions in Microfluidics

In this work, we present an explanatory visualization of a high-fidelity multiphysics simulation of circulating tumor cell (CTC) capture in a microfluidic device. Detecting rare CTCs in the bloodstream is challenging but important for both clinical diagnostics and fundamental research. Microfluidics showed a great promise in earlier CTC detection. To better understand the transport physics of CTCs in microfluidic devices, a high-performance computational model was used to investigate the role of micropost sizes and intercellular collisions on CTC transport and adhesion within the device. Modeling of both the red blood cells (RBCs) and CTCs was computed as a spring connected network membrane, while adhesion was modeled through pairwise interactive potentials between the CTCs and microposts. The fluid motion was solved by the lattice Boltzmann method, which was coupled with suspended cells by the immersed boundary method (IBM). The visualization clearly shows streamline layers separated by microposts within microfluidic devices. The animation illustrates that, overall, CTCs display transient rolling movements in areas of high shear on microposts and firm adhesion in low-shear areas. The trajectories of CTCs can be seen closely following fluid streamlines at low RBC concentrations but deviating from streamlines at high RBC concentrations due to the intercellular collisions. The visualization also manifests a special zone where cells rarely cross the streamline layer. These behaviors are difficult or even impossible to observe without the use of visualization.
Comparison of clinical profiles and care for patients with incident versus recurrent acute coronary syndromes in France: Data from the MONICA registries

Background Recurrence is common after an acute coronary syndrome (ACS). In order to better assess the prognosis for patients with ACS, we compared clinical profiles, treatments, and case fatality rates for incident vs. recurrent ACS. Methods We enrolled 1,459 men and women (age: 35–74) living in three geographical areas covered by French MONICA registries and who had been admitted to hospital for an ACS in 2015/2016. We recorded and compared the clinical characteristics and medical care for patients with an incident vs. a recurrent ACS. Results Overall, 431 (30%) had a recurrent ACS. Relative to patients with an incident ACS, patients with recurrence were older (p<0.0001), had a greater frequency of NSTEMI or UA (p<0.0001), were less likely to show typical symptoms (p = 0.045), were more likely to have an altered LVEF (p<0.0001) and co-morbidities. Angioplasty was less frequently performed among patients with recurrent than incident NSTEMI (p<0.05). There were no intergroup differences in the prescription of the recommended secondary prevention measures upon hospital discharge, except for functional rehabilitation more frequently prescribed among incident patients (p<0.0001). Although the crude 1-year mortality rate was higher for recurrent cases (14%) than for incident cases (8%) (p<0.05), this difference was no longer significant after adjustment for age, sex, region, diagnosis category and LVEF. Conclusion Compared with incident patients, recurrent cases were more likely to have co-morbidities and to have suboptimal treatments prior to hospital stay, reinforcing the need for secondary prevention.