Miracle-dz/UniFAR-FTUs huggingface dataset:
Stronger Subjects Select a Movement Pattern That May Reduce Anterior Cruciate Ligament Loading During Cutting

Abstract Davies, WT, Ryu, JH, Graham-Smith, P, Goodwin, JE, and Cleather, DJ. Stronger subjects select a movement pattern that may reduce anterior cruciate ligament loading during cutting. J Strength Cond Res 36(7): 1853–1859, 2022—Increased strength has been suggested to reduce the incidence of anterior cruciate ligament (ACL) injury as part of wider neuromuscular training programs; however, the mechanism of this is not clear. Cutting is a high-risk maneuver for ACL injury, but limited research exists as to how strength affects sagittal plane biomechanics during this movement. Sixteen subjects were split into a stronger and weaker group based on their relative peak isometric strength in a unilateral squat (stronger: 29.0 ± 3.4 N·kg−1 and weaker: 18.3 ± 4.1 N·kg−1). Subjects performed 45° cuts with maximal intent 3 times, at 3 different approach velocities (2, 4, and 6 m·s−1). Kinematics and ground reaction forces were collected using optical motion capture and a force platform. The stronger group had lower knee extensor moments, larger hip extensor moments, and a greater peak knee flexion angle than the weaker group (p < 0.05). There was a trend for greater knee flexion at initial contact in the stronger group. There were no differences in resultant ground reaction forces between groups. The stronger group relied more on the hip than the knee during cutting and reached greater knee flexion angles. This could decrease ACL loading by reducing the extensor moment required at the knee during weight acceptance. Similarly, the greater knee flexion angle during weight acceptance is likely to be protective of the ACL.
Damped Jacobi Methods Based on Two Different Matrices for Signal Detection in Massive MIMO Uplink

— For massive multiple-input multiple-output (m-MIMO) uplink, the performances of the linear minimum mean-square error (MMSE) detector are considered near optimal, and they occupy benchmark place for most linear iterative detectors. However, the MMSE algorithm is known by its load computational complexity due to the implication of large-scale matrix inversions, and in other hand, iterative methods are often preferred in signal detection because of its low complexity. In this paper, we propose a New Damped Jacobi (NDJ) detector in order to improve the performance of the classical Jacobi linear algorithm. Starting from the classical Jacobi technique to our new proposal, we go through the development of two variants; one uses a damping factor and the other uses a stair-matrix. However, the NDJ incorporates a damping factor in its construction and basing also on stair matrix instead of diagonal matrix. The performances in terms of convergence and low complexity of each Jacobi variant studied in this paper are analyzed. Finally, some simulation examples are given to illustrate the advantages of the new proposed algorithm.
Expression of Mitochondrial Progesterone Receptor (PR-M) in Ovarian Cancer and Its Effect on Cell Metastasis Induced by Progesterone

Background: PR-M refers to a novel truncated progesterone receptor located on the outer membrane of mitochondria, capable of facilitating the proliferation of leiomyoma cells and breast cancer cells, as well as inhibiting apoptosis as impacted by progesterone or progesterone agonists. However, its role in ovarian tumors has not yet been elucidated.Objective: To study the expression of PR-M in different ovarian tumor tissues and normal tissues, and the effect exerted by progesterone on the proliferation and migration of SKOV-3 cells that achieve high PR-M expression.Methods: Real- time PCR and Western blot were employed for determining PR-M levels in cell lines, non-cancer tissues and ovarian cancer tissues. By immunohistochemistry, PR-M protein expression in benign tumor, borderline tumor and epithelial carcinoma was detected, and the clinicopathological characteristics between PR-M and cancer were analyzed. Furthermore, CCK-8 and scratch test were performed to explore the proliferation and migration of SKOV-3 cells exhibiting high PR-M expression.Results: PR-M increased significantly in cancer tissues and ovarian cancer cell lines, in comparison to normal cells and non-cancer tissues. The abnormal expression showed a significant correlation with intraperitoneal metastasis, lymph node metastasis, clinically related stage and CA125 level, suggesting that high PR-M expression may affect the progression of ovarian tumors. During the cell experiment, PR-M achieved the maximum expression in SKOV-3 cells (PR-A / B(-)). As impacted by progesterone, SKOV-3 cells (PR-A / B(-)) achieved the enhanced proliferation and migration. Besides, the enhancing effect was dose and time-dependent.Conclusion: PR-M is critical to develop ovarian cancer. Progesterone may facilitate the proliferation and migration of ovarian cancer cells exhibiting high PR-M expression.
Magnetorheological damper voltage control using artificial neural network for optimum vehicle ride comfort

Suspension system design is an important challenging duty that facing car manufacturers, so the challenge has become to design the best system in terms of providing ride comfort and handling ability under all driving situations. The goal of this paper is to provide assistance in enhancing the effectiveness of the suspension system. A full car model with eight degrees of freedom (DOF) was developed using MATLAB/Simulink. Validation of the Simulink model was obtained. The model was assumed to travel over a speed hump that has a half sine wave shape and amplitude that changing from 0.01 to 0.2 m. The vehicle was moving with variable speeds from 20 to 120 km/h. Magneto Rheological (MR) damper was implanted to the model to study its effect on ride comfort. Artificial Neural Network (ANN) was used to find the optimum voltage value applied to the MR damper, to skip the hump at least displacement. This network uses road profile and the vehicle speed as inputs. A comparison of the results for passive suspension system and model with MR damper, are illustrated. Results show that the MR damper give significant improvements of the vehicle ride performance over the passive suspension system.
High-pressure recovery of anthocyanins from grape skin pomace (Vitis vinifera cv. Teran) at moderate temperature

The objective was to evaluate the influences of the high hydrostatic pressure extraction parameters on the recovery of anthocyanins from the grape skin pomace extracts (Vitis vinifera cv. Teran) under moderate temperatures. Studied parameters were: solvents (methanol and ethanol); solvent concentrations (30, 50, and 70%); pressures (300, 400, and 500 MPa); times (3, 6.5, 10 min); and temperatures (22, 26, 30 °C). Predominant anthocyanins in all extracts were malvidins (malvidin-3-glucoside as the main compound) representing 55.77% of overall anthocyanin content. The type of solvent did not significantly influence anthocyanin extraction yield, while decreased solvent concentration (increased solvent-to-water ratio) significantly improved extraction of anthocyanins. Increase of pressure enhanced extraction yield of the anthocyanins but temperature showed stronger impact on the anthocyanins recovery. This investigation evidenced that the best conditions for HHPE of anthocyanins from grape pomace were extraction time 3.39 min, extraction temperature 29.48 °C, pressure 268.44 MPa and solvent concentration 70%. Practical applications Due to increased interest for the use of cheap winery byproducts as a source of expensive polyphenols for functional food production, skins from grape pomace became valuable raw material. Therefore, there is a need to evaluate the influence of HHPE innovative extraction technology on its nutritive value during processing. Optimizing parameters for polyphenolic recovery from grape pomace is directly related with nutritional value and economics of food engineering during industrial processing. Obtained results showed that the HHPE under lower temperatures is suitable for the extraction process of anthocyanins from grape skin pomace, but more research is needed to identify other food-grade solvents with their corresponding concentrations that are useful for the extraction assisted with high hydrostatic pressure.
Yield and quality of curly kale grown using organic fertilizers

ABSTRACT Kale is a vegetable that has high nutrition content, and balanced fertilization is essential to ensure high yield and quality of agricultural products. Curly kale, less known than regular leaf kale, is a new possibility for consumption. However, little is known about the influence of the type of fertilization on nutritional characteristics. This study aims to evaluate the influence of using organic fertilizers on the productivity, microbiological, and physico-chemical characteristics of Darkibor hybrid curly kale. The treatments consisted of three sources of organic fertilizers, one of organomineral fertilizer, and the control (without fertilization). The highest productivity was observed for kale that was treated with fertilizer in the organomineral composition in all harvests. For microbiological analyses, there was no contamination in all treatments, following legislation. There was no significant difference between treatments for the physicochemical composition, highlighting the high levels of phenolic compounds and proteins in curly kale. There was no difference between treatments regarding the mineral content of the leaves. Organic and organomineral fertilizers made it possible to produce curly kale with adequate physicochemical composition, free from microbiological contamination and heavy metals.
Design, Synthesis, Crystal Structure and Photophysical Properties of New Oxadiazole Extended Viologen Fluorophore

Viologens (N,N'-dimethyl-4,4-bipyridinium) are advanced functional materials, found important applications in electrochromic devices, molecular machines, organic batteries, and carbohydrate oxidation catalysts in alkaline fuel. In this article, we investigated the design, synthesis and photophysical properties of N,N'-dimethyl-2,5-Bis(pyridinium)oxadiazole 4 and its precursor 2,5- Bis(pyridine)oxadiazole 2. The crystal structure and photophysical properties of viologen 4 and precursor 2 have been determined. The viologen molecule 4 crystallized in monoclinic form, space group P21/n with four molecules in unit cell. Precursor molecule 2 also crystalized in monoclinic form, space group C2/c with four molecules in unit cell. From X-rd data, we found three cations in the molecular structure of viologen molecule 4, which is unusual in viologens. In the three-dimensional molecular packing diagram of molecule 4, the three cations and iodate anions are stabilized by C···C, C···I, N···I, N···H, H···I, N—H···I and C—H···I. The dihedral angle between planes having oxadiazole and two benzene rings are 5° and 8°, suggesting the molecule 4 is a slightly strained one. The molecular structure of precursor molecule 2 stabilized by C···C and N···H short contacts between the molecules. The molecule 4 displayed strong absorbance at 315 nm and emissions between 390 - 410 nm.
Indirect Impacts of COVID-19: A Case Study of Evidence, Advice and Representation From Consumer and Community Members in New South Wales Australia

The COVID-19 pandemic continues to affect health care systems globally, and there is widespread concern about the indirect impacts of COVID-19. Indirect impacts are caused by missed or delayed health care—not as a direct consequence of COVID-19 infections. This study gathered experiences of, and perspectives on, the indirect impacts of COVID-19 for health consumers, patients, their families and carers, and the broader community in New South Wales, Australia. A series of semi-structured virtual group discussions were conducted with 33 health consumers and community members between August 24 and August 31, 2020. Data were analyzed using an inductive thematic analysis approach. The analysis identified 3 main themes: poor health outcomes for individuals; problems with how health care is designed and delivered; and increasing health inequality. This case study provides insight into the indirect impacts of COVID-19. Health systems can draw on the insights learned as a source of experiential evidence to help identify, monitor and respond to the indirect impacts of COVID-19.
Structural Performance of Sections Treated with Thin Overlays for Pavement Preservation

Over the last decades, increased efforts have been made to identify cost-effective alternatives to achieve a longer pavement life by applying preservation treatments. The application of thin overlays to restore the surface condition of the pavement is widely practiced across the United States. Benefits include a long service life, a better riding surface, reduced noise, grade and slope geometry preservation, recyclability, and fewer maintenance regimes. Although thin overlays can provide significant improvements in both the immediate and long-term functional performance of the pavement, there is little information on how these treatments affect the structural performance of pavements. Although not expected to significantly improve structural capacity, thin overlays may be able to maintain a structurally sound pavement in good condition for longer. The objective of this study was to evaluate the structural performance of pavements treated with thin overlays as a preservation technique. To accomplish this objective, falling weight deflectometer and field performance data from six full-scale thin overlay test sections and a control section with high cracking were collected and analyzed over a period of nearly 8 years. The results indicated that, based on deflection basin parameters (DBPs), the treated sections had better performance and were projected to reach the “warning” zone much later than the untreated sections. The observed surface condition correlated well with these parameters as, in general, sections with higher DBPs also exhibited more cracking and rutting. The test sections continue to be monitored to fully quantify the extent of the structural benefit obtained from the treatments.
Domain Translation of Images Using Auto Encoders and Coupled GANs with Unsupervised Learning

Domain translation of images is nothing but learning from marginal distribution across different to obtain a joint distribution from the listed domains. But there exist a limitless number of joint distributions, but we couldn’t infer that without additional assumptions. It is nothing but changing the entire scenario of the given input image by translating and reconstructing into an entirely new image but with the key features of the input image. Here for the domain translation of images from different domains in video, we are using Coupled-GAN’s for domain translation with making use of shared latent space.
Computer vision‐based real‐time cable tension estimation in Dubrovnik cable‐stayed bridge using moving handheld video camera

Cables are essential components of the cable‐stayed bridges as they serve as the main load‐bearing component. Hence, continuous monitoring of such cables becomes necessary as they are vulnerable to the fatigue damage induced by dynamic loads. Sensors are attached to the cables to examine the health of the cables; however, these contact‐based sensors can malfunction in harsh weather condition, which makes impossible to estimate the cable health in such unfavorable condition. Therefore, in this paper, we propose a completely noncontact video‐based stay‐cable tension measurement technique where the video is recorded using a moving handheld camera at a significant distance from the structure itself. Here, the cable tension is determined from vibration‐based measurement, but the vibration of the cable recorded in the video includes the true vibration of the cable along with the camera motion. Hence, we amalgamated a series of image processing techniques to nullify the camera movement. First, we detect the camera movement based on the movement of the bridge deck and pylon, which are fixed objects, using Kanade–Lucas–Tomasi (KLT) feature tracking algorithm. Then we nullify the camera movement by using the affine transformation matrix obtained by random sample consensus (RANSAC) algorithm. Subsequently from the steady video, the cable motions are estimated using the phase‐based motion estimation technique. From the time history of the cable vibration, real‐time frequency variations are estimated using Short‐Time Fourier Transform (STFT). Finally, the real‐time tension is determined from this dominant frequency variation history using the taut‐string theory. This paper shows the significant potential of camera‐based sensing techniques in structural health monitoring as the mean estimated tension and the design cable tension are found to be comparable.
Treatment Modalities for Multiple Gingival Recession– A New Prospects

This case series reports the various treatment modalities to treat the multiple recessions. Gingival recession is a widespread clinical manifestation affecting single or multiple root surfaces at all teeth types. Periodontal reconstructive surgery consists of various mucogingival procedures. The primary goal of these procedures is to benefit periodontal health through the reconstruction of lost hard and soft tissues, or by preventing its additional loss, and also enhancing the esthetic appearance. Platelet-rich fibrin is a second generation platelet concentrate and is defined as an autologous leukocyte and platelet-rich fibrin biomaterial. Care was taken not to extend the incisions till the tip of the interdental papilla. A full thickness mucoperiosteal flap was reflected, extending beyond the mucogingival junction. A wide range of surgical techniques has been proposed for the treatment of the gingival recessions, each with its advantages and disadvantages. To provide predictable and long-term results, it is of paramount importance that the surgical technique is individually selected, taking into account several crucial factors such as the size of the defect, the width of the keratinised gingiva apical to the defect and the thickness of the flap.
Customer churn factors detection in Indonesian postpaid telecommunication services as a supporting medium for preventing waste of IT components

One of the most important tasks in the telecommunication company is to maintain the customer churn rate and customer satisfaction level. These things can be maintained by evaluating the churn customer factors. The results of this evaluation can certainly be used to improve the services of the company, so that customers will be stopped from churn and customer satisfaction level will be increased. This condition indirectly provided positive effect on the environment by preventing e-waste of IT components. In this research study, customer churn factors from customer feedback were evaluated by using text mining, by targeting the postpaid customers in one of telecommunication company in Indonesia. In this research we used 3 classification methodology, Fast Large-Margin, Naïve Bayes, and Support Vector Machine. Fast Large-Margin classification methodology was the most accurate model in this research, was used to classify the customer feedback for five following customer churn factors in telecommunication industry: poor customer service, poor network, high cost of services, billing errors, and promotion seeking. The result shows that promotion seeking was the most factor that caused customer to churn during January and December 2019 period.
Warehouse receipt system and food security: factors that influenced farmers’ decisions

The Warehouse Receipt System (WRS) aims to increase commodity selling prices through sales delays and financing. Credit with stored production collateral is used to meet the needs of farmers in facing the next crop season. The research objective is to find out what factors influence farmers’ decisions in utilizing WRS. The research method is a survey with 18 respondents or 50 percent of farmers who use WRS. Data were analyzed by logistic regression. The results showed that the factors that significantly influenced farmers’ decisions to use WRS were the distance from the warehouse to farming and the costs associated with using WRS as an external factor. WRS needs to be supported by WRS cost subsidies as a WRS capitalization process in the agricultural sector.
A Two-period Game Theory Model in Subsidizing the Electric Vehicle Supply Chain with Used Electric Vehicle Batteries Remanufacturing Process

Electric vehicle batteries are usually retired when the performance drops to about 70% of factory performance. At this point, they can be remanufactured into raw materials for the production of new batteries. This paper studies a two-period vehicle supply chain consisting of government, an electric/gasoline vehicle manufacturer, a EV battery manufacturer and consumers with and without retired batteries’ remanufacturing process. The purpose is to understand government subsidy policy in these two different periods. By adopting Stackelberg game theory and Nash equilibrium, a mathematical model was developed. The study gives the optimal subsidy with and without battery remanufacturing process in different two periods. We also consider the quality and recycling rates of retired batteries, as well as the impact of raw material costs for new batteries and government environmental spending on subsidies and commodity prices such as vehicles and batteries. Meanwhile, the results show that government subsidy to EV manufacturers can be reduced when retired battery remanufacturing process exists. Increasing in retired batteries’ quality, recycling rates, and the cost of raw materials for new batteries will lead to a reduction in government subsidies; but a rising of government spending on environmental protection will lead to the need for more subsidies to electric vehicle manufacturers.
A novel adaptive range-bin selection method for remote heart-rate measurement of an indoor moving person using mm-wave FMCW radar

: This study provides a solution for mm-wave FMCW radar-based heart-rate detection of an indoor moving person. The range-bin where the person is located will change during the moving state, and the signal energy is weaker than clutter at farther distances. Therefore, we propose an adaptive range-bin selection method that eﬀectively selects the optimal range-bin cell to obtain the correct radar vital sign before heartbeat signal reconstruction. The experimental results show that the proposed method can reconstruct the heartbeat signal with high precision when used in conjunction with the ICEEMDAN method.
SiEPICfab: the Canadian silicon photonics rapid-prototyping foundry for integrated optics and quantum computing

The goal of SiEPICfab is to conduct research in the fabrication of silicon photonic devices and photonic integrated circuits, and to make leading-edge silicon photonic manufacturing accessible to Canadian and international academics and industry. SiEPICfab builds on the success of the Silicon Electronic Photonic Integrated Circuits (SiEPIC) program, which has been offering research training workshops since 2008, by adding a fabrication facility “fab”. We have developed a rapid prototyping facility to support a complete ecosystem of companies involved in silicon photonics product development, including modelling, design, library development, fabrication, test, and packaging of silicon photonics. SiEPICfab allows designers to rapidly complete design-fabricate-test cycles, with technologies such as sub-wavelength sensors, PN junction ring modulators, silicon defect-based detectors, single photon detectors, single photon sources, and photonic wire bond integration of lasers and optical fibres.