Miracle-dz/UniFAR-FTUs huggingface dataset:
A Deep Learning Framework Using Convolutional Neural Network for Multi-Class Object Recognition

Object recognition is classic technique used to effectively recognize an object in the image. Technologies specifically in field of computer vision are expected to detect and recognize more complex tasks with help of local features detection methods. Over the last decade, there has been sustained increase in the number of researchers from various kind of disciplines i.e. academia, industry, security agencies and even from general public has caught an attention to explore the covered aspects of object detection and recognition concerned problems. It is further significantly amended by adopting deep learning model. In this paper, we applied deep learning to multi-class object recognition and explore convolutional neural network (CNN). The convolutional neural network is created with normalized standard initialization and trained with training set of sample images from 9 different object categories plus sample test images using widely varied dataset. All results are implemented in python tensorflow framework. We examine and compared CNN results with final feature vectors extracted from variant approaches of BOW based on linear L2-SVM classifier. Based on it, sufficient experiments verify our CNN model effectiveness and robustness with rate of 90.12% accuracy.
Object Drop Detection on Railway Track Through Rayleigh Wave Sensing Using Laser Vibrometer

The feasibility of obstacle detection along a railway track through Rayleigh wave sensing was empirically studied using a laser vibrometer mounted along railway tracks at specific test sites. The impact of obstacles like rock and timber of varying weights dropped on rail head, rail ballast, and sleeper was recorded using the laser vibrometer. It could detect the vibrations generated by the impact of rock and timber drop from a distance of 2 km. The results were cross-verified using finite-element simulation and it was established that the waves propagating along the railway track are indeed Rayleigh waves. Sensing of Rayleigh wave generation under object drop along railway track can pave way to a technology on real-time railway track monitoring for obstacle detection.
Face Aging With Boundary Equilibrium Conditional Autoencoder

Since generative adversarial networks (GANs) were proposed in 2014, mode collapse has been a problem that affects many researchers when training GANs. With the reconstruction loss of an autoencoder, conditional adversarial autoencoder (CAAE) is free from mode collapse. However, its reconstruction loss will bring a saturation problem, in which the encoder maps every input image into just one latent variable. Combining the CAAE with a boundary equilibrium generative adversarial network, we propose a boundary equilibrium conditional autoencoder (BECAE) focusing on the face aging task. Our model is the first GANs that renders images through a discriminator. We also introduce some statistics to measure the level of the saturation problem. The results show that the BECAE has successfully solved the saturation problem and can generate face images of the same quality as the images generated by the CAAE.
Training future clinicians: An interprofessional approach to treating tobacco use and dependence

ABSTRACT The high prevalence of smoking among persons with mental illness and co-occurring substance use disorders has not changed in the past decade despite a decline in smoking among the general population. Interprofessional collaborative care offers clinicians the opportunity to engage their patients in tobacco cessation treatment that is coordinated and comprehensive. Investigators applied a 1-group, pre/post-test design with qualitative and quantitative descriptive analyses to estimate the impact of an interprofessional tobacco education program on perceived self-efficacy and self-reported counseling abilities of graduate nursing, social work, and pharmacy (PharmD) students (N = 36; nursing, n = 13, n = 9 PharmD, n = 14 social work) to treat tobacco dependence among this subpopulation of smokers, and to assess their perceptions of interprofessional education. All participants completed a 2-h web-based module, a 3-h classroom training, a simulation with a standardized patient, and a group audio-recorded debriefing session with faculty. Emergent themes from qualitative analyses were valuing simulations, demystifying disciplines, reflecting on and critiquing practice, and lessons learned. Participants’ perceived self-efficacy, self-rated counseling ability, intention to ask about tobacco use, and intention to provide counseling for tobacco cessation increased significantly. Teaching students an interprofessional team approach appears to be effective in enhancing counseling abilities and self-efficacy and may positively influence health professions students’ perceptions of interprofessional education. Larger studies are recommended to validate the results of this pilot study.
Sushi Domain Containing 2 (SUSD2) inhibits platelet activation and binding to high-grade serous ovarian carcinoma cells

Abstract Platelets play a central role in primary hemostasis affecting tumor survival and metastases. Tumors induce platelets to aggregate and bind to the cancer cells, resulting in protection from immune surveillance and often leading to thrombocytosis. In ovarian cancer (OvCa), one-third of patients present with thrombocytosis, a diagnosis that correlates with shorter survival. SUSD2 (SUShi Domain containing 2), a type I transmembrane protein, shown to inhibit metastatic processes in high-grade serous ovarian carcinoma (HGSOC), is expressed on endothelial cells and thus may influence platelet reactivity. As such, we hypothesized that SUSD2 levels in ovarian cancer-derived cell lines influence platelet activation. We incubated OvCa non-targeting (NT) and SUSD2 knockdown (KD) cell lines with labeled platelets and quantified platelet binding, as well as GPIIb/IIIa integrin activation. The role of GPIIb/IIIa in tumor cell/platelet interaction was also examined by measuring cell–cell adhesion in the presence of eptifibatide. We found that platelets exposed to OvCa cells with low SUSD2 expression display increased tumor cell-platelet binding along with an increase in GPIIb/IIIa receptor activation. As such, platelet activation and binding to HGSOC cells was inversely correlated with the presence of SUSD2. This represents one of the first tumor proteins known to provide differential platelet interaction based on protein status.
A Deep Learning-Based Human Activity Recognition in Darkness

This work proposes a thermal camera-based human activity recognition approach using robust features and a deep recurrent neural network. To extract body skeletons from thermal images an opensource library is used, which is called OpenPose. OpenPose is a deep convolution neural network-based approach for multi-person key point detection. It is typically used on color images, but it is tried in this work on thermal images to see how it works in dark environment. After computing skeleton of the body, robust spatiotemporal features are extracted. Then, the robust features from the thermal videos are applied to a deep recurrent neural network for activity modeling and recognition. The proposed approach is very useful to monitor humans in dark environments where the other typical RGB cameras even fail to generate visually understandable images.
Hard Magnetic Property Improvement of Melt-Spun PrCo5 Ribbons by Fe and C Doping

Magnetic properties and microstructure of melt-spun PrCo<sub>5−<italic>x</italic>−<italic>y</italic></sub>Fe<italic><sub>x</sub></italic>C<italic><sub>y</sub></italic> (<italic>x</italic> = 0 and 0.3; <italic>y</italic> = 0–0.3) ribbons are studied. For PrCo<sub>5</sub> ribbons spun at lower wheel speed of 20 m/s, the coexistence of 2:17 phase with magnetic hard 1:5 phase leads to low coercivity of 0.6 kOe. Increasing wheel speed to 40 m/s imroves the coercivity to 3.3 kOe due to the increased volume fraction of 1:5 phase. Interestingly, magnetic properties of PrCo<sub>5</sub> ribbons melt spun at 40 m/s (<italic>B<sub>r</sub></italic> = 6.4 kG, <italic><sub>i</sub></italic>H<italic><sub>c</sub></italic> = 3.3 kOe, and (<italic>BH</italic>)<sub>max</sub> = 4.5 MGOe) are improved to <italic>B<sub>r</sub></italic> = 6.1–6.5 kG, <italic><sub>i</sub></italic>H<italic><sub>c</sub></italic> = 7.8–13.5 kOe, (<italic>BH</italic>)<sub>max</sub> = 7.3–8.9 MGOe by doping C, and significantly enhanced to <italic>B<sub>r</sub></italic> = 6.3 kG, <italic><sub>i</sub></italic>H<italic><sub>c</sub></italic> = 16.1 kOe, and (<italic>BH</italic>)<sub>max</sub> = 9.3 MGOe for C and Fe co-doped PrCo<sub>4.6</sub>Fe<sub>0.3</sub>C<sub>0.1</sub> ribbons. The structural and thermo-magnetic analysis confirms that the entrance of Fe and part of C into the crystal structure of 1:5 phase leads to the increase of Curie temperature. Doping proper C content not only uniformly refines grain size and, therefore, improves the squareness of demagnetization curve and (<italic>BH</italic>)<sub>max</sub>, but also increases the volume fraction of 1:5 phase, and thus enhances the coercivity. The increased volume fraction of 1:5 phase and the reduced magnetic domain size due to refined microstructure by co-doping Fe and C make PrCo<sub>4.6</sub>Fe<sub>0.3</sub>C<sub>0.1</sub> ribbons exhibit a high permanent magnetic performance. They are promising candidate materials for making bonded magnets.
Estimating Tree Heights Using Multibaseline PolInSAR Data With Compensation for Temporal Decorrelation, Case Study: AfriSAR Campaign Data

This paper presents a multibaseline method to increase the accuracy of height estimation when using SAR tomographic data. It is based upon mitigating the temporal decorrelation induced by wind. The Fourier–Legendre function of different orders was fitted to each pixel as the structure function in the PCT model. It was combined with the motion standard deviation function from the random-motion-over ground (RMoG) model. L-band multibaseline data are used that were acquired during the AfriSAR campaign over La Lope National Park in Gabon with a height range between 0 and 60 m that has an average of 30 m and standard deviation of 15 m. The results were compared with those from the regular PCT model using the root mean square error (RMSE). Histograms were compared to the one obtained from Lidar height map. The average RMSE was equal to 7.5 m for the regular PCT model and to 5.6 m for the modified PCT model. We concluded that the accuracy of tree height estimation increased after modeling of temporal decorrelation. This is of value for future satellite missions that would collect tomographic data over forest areas.
Network impact of residential energy management systems at city scale

The impact on the electricity distribution system of residential energy management systems will result of changes in the electricity usage by consumers in response to stimuli like real-time changes in the electricity price. However, due to the dispersed and uncontrolled nature of the management of end-use appliances, estimating the energy and power output of an aggregation of such devices requires a specific approach. The proposed methodology makes use of information regarding total electricity consumption, queried data regarding the willingness of consumers to postpone the starting time of appliances operation and prototypes of hourly electricity price diagrams. The output of the methodology includes information on the released network capacity as well as on load rebound, both caused by the aggregated demand response. In particular, load rebound is a relevant phenomenon that presents new challenges to the management of the grid, and for which some preventive measures are suggested.
Map-Blocks: Playing with Online Data and Infuse to Think in a Computational Way

This paper introduces a new teaching tool for K-12 schools with the aid to transfigure the way young peoples use of online data. The tool involves participators who don't have prior programming knowledge and wish to learn computational concepts as part of playing with online data. Computational thinking provides a way for solving many real-world problems that are not learned easily by using many existing tools. Map-Blocks is a software suite that combines the easy to use visual programming environment with easy to get started block shaped programming environment.
A Comparative Analysis of Implementation Performances for Image Processing Applications Used to Control Robotic Arms

This paper presents an analysis of code implementation performance for image processing algorithms. The test is made for image processing algorithms for robotic arms, but it is suitable for any type of image processing software. Image processing software can use quite big amount of resources, so this way it can be tested which platform, which operating system or which programming language is the most suitable for usage. The image processing task is a color detection task with some line and circle overlays for robotic arm's guidance. The implementations were tested base on code line numbers, code size on disk, binary file size on disk, used memory during execution and used CPU during execution.
Limited hatchery introgression into wild brook trout (Salvelinus fontinalis) populations despite reoccurring stocking

Due to increased anthropogenic pressures on many fish populations, supplementing wild populations with captive‐raised individuals has become an increasingly common management practice. Stocking programs can be controversial due to uncertainty about the long‐term fitness effects of genetic introgression on wild populations. In particular, introgression between hatchery and wild individuals can cause declines in wild population fitness, resiliency, and adaptive potential and contribute to local population extirpation. However, low survival and fitness of captive‐raised individuals can minimize the long‐term genetic consequences of stocking in wild populations, and to date the prevalence of introgression in actively stocked ecosystems has not been rigorously evaluated. We quantified the extent of introgression in 30 populations of wild brook trout (Salvelinus fontinalis) in a Pennsylvania watershed and examined the correlation between introgression and 11 environmental covariates. Genetic assignment tests were used to determine the origin (wild vs. captive‐raised) for 1,742 wild‐caught and 300 hatchery brook trout. To avoid assignment biases, individuals were assigned to two simulated populations that represented the average allele frequencies in wild and hatchery groups. Fish with intermediate probabilities of wild ancestry were classified as introgressed, with threshold values determined through simulation. Even with reoccurring stocking at most sites, over 93% of wild‐caught individuals probabilistically assigned to wild origin, and only 5.6% of wild‐caught fish assigned to introgressed. Models examining environmental drivers of introgression explained <3% of the among‐population variability, and all estimated effects were highly uncertain. This was not surprising given overall low introgression observed in this study. Our results suggest that introgression of hatchery‐derived genotypes can occur at low rates, even in actively stocked ecosystems and across a range of habitats. However, a cautious approach to stocking may still be warranted, as the potential effects of stocking on wild population fitness and the mechanisms limiting introgression are not known.
Protective effect of Mumiju against acetic acid-induced ulcerative colitis in rats

Objective: In this study, we elucidated the ameliorative effect of aqueous extract of leaves of Mumiju against acetic acid-induced experimental colitis in male rats. Materials and Methods: The animals were randomly divided into four groups (n=7) including I: control group, II: vehicle group (injected with 2 ml acetic acid (4%) intra rectally), III and IV: treatment groups which received Mumiju (250 mg/kg) orally or intraperitoneally for 4 consecutive days after ulcer induction. Ulcer index, severity of inflammation, colonic levels of superoxide dismutase (SOD), glutathione (GSH), and malondialdehyde (MDA), and histological changes were recorded after the treatment regimen of 4 days. Results: The ulcer index, severity of inflammation and colonic MDA levels were increased following intrarectal instillation of acetic acid. Also, acetic acid significantly decreased the SOD and GSH levels. Treatment with Mumiju for 4 days exhibited significantly lowered oxidative stress, while elevated of SOD and GSH levels. Regenerative-healing patterns also was seen by histopathological findings after treatment with Mumiju. Conclusion: The present investigation demonstrates that Mumiju could be regarded as a herb with potent therapeutic value in the amelioration of experimental colitis in laboratory animals by modulation of oxidant- antioxidant system.
Structural and compositional mismatch between captive and wild Atlantic salmon (Salmo salar) parrs’ gut microbiota highlights the relevance of integrating molecular ecology for management and conservation methods

Stocking methods are used in the Province of Quebec to restore Salmo salar populations. However, Atlantic salmon stocked juveniles show higher mortality rates than wild ones when introduced into nature. Hatchery environment, which greatly differs from the natural environment, is identified as the main driver of the phenotypic mismatch between captive and wild parrs. The latter is also suspected to impact the gut microbiota composition, which can be associated with essential metabolic functions for their host. We hypothesized that hatchery‐raised parrs potentially recruit gut microbial communities that are different from those recruited in the wild. This study evaluated the impacts of artificial rearing on gut microbiota composition in 0+ parrs meant for stocking in two distinct Canadian rivers: Rimouski and Malbaie (Quebec, Canada). Striking differences between hatchery and wild‐born parrs’ gut microbiota suggest that microbiota could be another factor that could impact their survival in the targeted river, because the microbiome is narrowly related to host physiology. For instance, major commensals belonging to Enterobacteriaceae and Clostridiacea from wild parrs’ gut microbiota were substituted in captive parrs by lactic acid bacteria from the Lactobacillaceae family. Overall, captive parrs host a generalist bacterial community whereas wild parrs’ microbiota is much more specialized. This is the very first study demonstrating extensive impact of captive rearing on intestinal microbiota composition in Atlantic salmon intended for wild population stocking. Our results strongly suggest the need to implement microbial ecology concepts into conservation management of endangered salmon stocks supplemented with hatchery‐reared parrs.
Efficacy of the Adductor Canal Approach to Saphenous Nerve Block for Anterior Cruciate Ligament Reconstruction With Hamstring Autograft: A Randomized Controlled Trial

Background: For reconstruction of the anterior cruciate ligament (ACL) with hamstring autograft, perioperative analgesia can be achieved with multimodal analgesia and intra-articular local anesthesia infiltration with or without additional regional blocks. Saphenous nerve block (SNB) via the adductor canal is commonly used in our practice, but its benefit has not been well established in the literature. Purpose: To assess the efficacy of SNB in ACL reconstruction with hamstring autograft. Study Design: Randomized controlled trial; Level of evidence, 1. Methods: Consecutive patients undergoing arthroscopic ACL reconstruction with hamstring autograft were randomized into a control group (no SNB) and an intervention group (SNB). All patients received standardized anesthetic induction and maintenance agents with perioperative analgesia, per study protocol, with local anesthetic infiltration of the graft harvest site and intra-articular infiltration. Results: Sixty patients were randomized into the 2 groups (n = 30 each). There was no statistically significant difference in total opiate consumption between the groups (control, 34 mg; SNB, 31 mg; P = .40). There was no statistically significant difference in visual analog scale scores for pain at 0, 8, and 24 hours postsurgery, and no difference in overall satisfaction score. The control group had a significantly higher visual analog scale score at 4 hours postsurgery (3.0 vs 1.9, P = .04). Conclusion: SNB has a minimal effect on postsurgical care for ACL reconstruction with hamstring autograft in the presence of multimodal analgesia and local anesthetic infiltration.
Nutritional Support Strategies for the Preterm Infant in the Neonatal Intensive Care Unit

The goal of nutrition of the preterm infant is to “provide nutrients to approximate the rate of growth and composition of weight gain for a normal fetus of the same postmenstrual age and to maintain normal concentrations of blood and tissue nutrients” (American Academy of Pediatrics 2014). Failure to provide the necessary amounts of all of the essential nutrients to preterm infants has produced not only growth failure, but also increased morbidity and less than optimal neurodevelopment. This continues to be true despite many efforts to increase nutrition of the preterm infants. In contrast, enhanced nutrition of very preterm infants, both intravenous and enteral, beginning right after birth, promotes positive energy and protein balance and improves longer term neurodevelopmental outcomes. The benefits are long lasting too, particularly for prevention of later life chronic diseases.
Elastomeric passive transmission for autonomous force-velocity adaptation applied to 3D-printed prosthetics

A 3D-printed passively variable transmission for rapid, strong actuation is shown in a lightweight, tendon-driven prosthetic hand. The force, speed, dexterity, and compact size required of prosthetic hands present extreme design challenges for engineers. Current prosthetics rely on high-quality motors to achieve adequate precision, force, and speed in a small enough form factor with the trade-off of high cost. We present a simple, compact, and cost-effective continuously variable transmission produced via projection stereolithography. Our transmission, which we call an elastomeric passive transmission (EPT), is a polyurethane composite cylinder that autonomously adjusts its radius based on the tension in a wire spooled around it. We integrated six of these EPTs into a three-dimensionally printed soft prosthetic hand with six active degrees of freedom. Our EPTs provided the prosthetic hand with about three times increase in grip force without compromising flexion speed. This increased performance leads to finger closing speeds of ~0.5 seconds (average radial velocity, ~180 degrees second−1) and maximum fingertip forces of ~32 newtons per finger.