Miracle-dz/UniFAR-FTUs huggingface dataset:
Blood biomarkers in metal scrap workers accidentally exposed to ionizing radiation

The detrimental effect of nuclear accidents due to localized or whole body radiation exposure results in severe cellular damage. The current study was carried out to evaluate radiation-mediated variability in blood components of metal scrap workers exposed accidently to cobalt-60 source. Blood samples collected initially from five hospitalized patients, coded P1–P5, were processed for total leukocyte counts (TLC), platelet (PLT) counts, haemoglobin, estimation of DNA double strand breaks by measuring phosphorylated form of H2AX (γ-H2AX) and chromosomal aberrations (dicentrics). Blood cells count (TLC), in all the patients except P2, was found decreased. Dicentrics increased in all the five patients. γ-H2AX was found significantly elevated in patients P2 and P4. After 3 days, 21 subjects working in close vicinity of accident site were evaluated for the above-mentioned markers to confirm their possibility of radiation exposure; however, all the parameters in these subjects were found within normal limits. Blood from patients P1–P5 was collected again after 11 days. Studies revealed exorbitant increase in γ-H2AX in lymphocytes and monocytes of patients P1, P4 and P5. TLC and PLT count in these patients had fallen further. Dicentrics declined with time in all the five patients. Based on the studied blood biomarkers, we conclude that the five subjects showed signs of radiation exposure. Measurement on radiation dose could not be performed in the current study; however, the generated data particularly on dicentrics provide ample evidence of radiation exposure.
Monocular 3D Object Detection for Autonomous Driving

The goal of this paper is to perform 3D object detection from a single monocular image in the domain of autonomous driving. Our method first aims to generate a set of candidate class-specific object proposals, which are then run through a standard CNN pipeline to obtain high-quality object detections. The focus of this paper is on proposal generation. In particular, we propose an energy minimization approach that places object candidates in 3D using the fact that objects should be on the ground-plane. We then score each candidate box projected to the image plane via several intuitive potentials encoding semantic segmentation, contextual information, size and location priors and typical object shape. Our experimental evaluation demonstrates that our object proposal generation approach significantly outperforms all monocular approaches, and achieves the best detection performance on the challenging KITTI benchmark, among published monocular competitors.
Effects of chromium picolinate on the viability of chick embryo fibroblast

Chromium picolinate (CrPic), which is used as a nutritional supplement and to treat type 2 diabetes, has gained much attention because of its cytotoxicity. This study evaluated the effects of CrPic on the viability of the chick embryo fibroblast (CEF) using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay, morphological detection, and flow cytometry. The results show that lower concentrations of CrPic (8 and 16 μM) did not damage CEF viability (p > 0.05). However, higher CrPic concentrations (400 and 600 μM) indicated a highly significant effect on the production of intracellular reactive oxygen species, alteration of mitochondrial membrane potential, intracellular calcium ion concentration, and the apoptosis rate (p < 0.01), contrary to lower CrPic concentrations (8 and 16 μM) and control group. Moreover, apoptotic morphological changes induced by these processes in CEF were confirmed using Hoechst 33258 staining. Cell death induced by higher concentrations of CrPic was caused by an apoptotic and a necrotic mechanism, whereas the main mechanism of oxidative stress-induced mitochondrial dysfunction was apoptotic death.
Approximate Kalman-Bucy Filter for Continuous-Time Semi-Markov Jump Linear Systems

The aim of this paper is to propose a new numerical approximation of the Kalman-Bucy filter for semi-Markov jump linear systems. This approximation is based on the selection of typical trajectories of the driving semi-Markov chain of the process by using an optimal quantization technique. The main advantage of this approach is that it makes pre-computations possible. We derive a Lipschitz property for the solution of the Riccati equation and a general result on the convergence of perturbed solutions of semi-Markov switching Riccati equations when the perturbation comes from the driving semi-Markov chain. Based on these results, we prove the convergence of our approximation scheme in a general infinite countable state space framework and derive an error bound in terms of the quantization error and time discretization step. We employ the proposed filter in a magnetic levitation example with markovian failures and compare its performance with both the Kalman-Bucy filter and the Markovian linear minimum mean squares estimator.
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

The morphology of glands has been used routinely by pathologists to assess the malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology images is a crucial step to obtain reliable morphological statistics for quantitative diagnosis. In this paper, we proposed an efficient deep contour-aware network (DCAN) to solve this challenging problem under a unified multi-task learning framework. In the proposed network, multi-level contextual features from the hierarchical architecture are explored with auxiliary supervision for accurate gland segmentation. When incorporated with multi-task regularization during the training, the discriminative capability of intermediate features can be further improved. Moreover, our network can not only output accurate probability maps of glands, but also depict clear contours simultaneously for separating clustered objects, which further boosts the gland segmentation performance. This unified framework can be efficient when applied to large-scale histopathological data without resorting to additional steps to generate contours based on low-level cues for post-separating. Our method won the 2015 MICCAI Gland Segmentation Challenge out of 13 competitive teams, surpassing all the other methods by a significant margin.
Global Stabilization of the Multiple Integrators System by Delayed and Bounded Controls

This note is concerned with global stabilization of multiple integrators by delayed and bounded controllers. Three types of new nonlinear control laws are proposed based on some special canonical forms and explicit conditions are proposed to guarantee the global stability of the closed-loop systems. Differently from the existing canonical forms, the new special canonical forms used in this note contain not only time delay in the input but also time delays in its state, which are essential in the recursive design since they lead to natural cancellation. Moreover, some free parameters are introduced into these controllers. These advantages can help to improve the transient performance of the closed-loop system significantly. Numerical simulations for the fourth order integrators illustrate that the proposed new controllers can indeed outperform the existing one.
Acetaminophen intoxication is associated with decreased serum paraoxonase and arylesterase activities and increased lipid hydroperoxide levels

Background: Acetaminophen is at present one of the most commonly used analgesics and antipyretics. Recent evidence has suggested that oxidative stress is involved in the mechanism of acetaminophen intoxication. Paraoxonase-1 (PON1) plays an important role as an endogenous free-radical scavenging molecule. The aim of this study was to evaluate the influence of serum PON1 activity and oxidative stress in patients with acetaminophen intoxication. Methods: A total of 20 patients with acetaminophen intoxication and 25 healthy controls were enrolled. Serum total antioxidant capacity (TAC), lipid hydroperoxide (LOOH) levels, and paraoxonase and arylesterase activities were measured spectrophotometrically. Results: The serum TAC levels and the paraoxonase and arylesterase activities were significantly lower in patients with acetaminophen intoxication compared with controls (all, p < 0.001), while the serum LOOH levels were significantly higher (p < 0.001). Conclusions: Our results suggest that decreased PON1 activity seems to be associated with increased oxidative stress in patients with acetaminophen intoxication. Measuring serum PON1 activity may be useful in assessing the development of toxicity risk in acetaminophen toxicity. It would be useful to recommend vitamins with antioxidant effects such as vitamins C and E along with medical treatments.
RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection

Thanks to the powerful feature representations obtained through deep convolutional neural network (CNN), the performance of object detection has recently been substantially boosted. Despite the remarkable success, the problems of object rotation, within-class variability, and between-class similarity remain several major challenges. To address these problems, this paper proposes a novel and effective method to learn a rotation-invariant and Fisher discriminative CNN (RIFD-CNN) model. This is achieved by introducing and learning a rotation-invariant layer and a Fisher discriminative layer, respectively, on the basis of the existing high-capacity CNN architectures. Specifically, the rotation-invariant layer is trained by imposing an explicit regularization constraint on the objective function that enforces invariance on the CNN features before and after rotating. The Fisher discriminative layer is trained by imposing the Fisher discrimination criterion on the CNN features so that they have small within-class scatter but large between-class separation. In the experiments, we comprehensively evaluate the proposed method for object detection task on a public available aerial image dataset and the PASCAL VOC 2007 dataset. State-of-the-art results are achieved compared with the existing baseline methods.
Getting stung by black scorpion Androctonus crassicauda

Importance of the correct diagnosis in the correct early management of a scorpion stung patient by using antivenom is not emphasized, particularly when there are little evidences. A 65-year-old female was brought to our emergency department with the chief compliant of being stung by an unknown object 3 h earlier while traveling in an intercity bus. She became agitated and simultaneously experienced tachycardia, very severe generalized sweating, cold and wet extremities, bilateral diffuse crackle in the base of lungs, tachypnea, and lethargy. With the primitive diagnosis of myocardial infarction, scorpion sting was documented as the cause of this combined cholinergic and adrenergic syndrome after the scorpion was found in the patient’s bed clothes. She dramatically responded to the administration of low dose of scorpion antivenom. This case dramatically responded to the antivenom administration, especially the cholinergic and sympathetic signs, pulmonary edema, and electrocardiographic changes were fully and almost immediately recovered. Scorpion antivenom may reverse life-threatening manifestations of scorpion envenomation if used early and in appropriate patients.
The effects of early life lead exposure on the expression of interleukin (IL) 1β, IL-6, and glial fibrillary acidic protein in the hippocampus of mouse pups

The present study was undertaken to investigate the effects of maternal lead (Pb) exposure on the expression of interleukin (IL) 1β, IL 6, and glial fibrillary acidic protein (GFAP) in hippocampus of mice offspring. Pb exposure initiated from the beginning of gestation to weaning. Lead acetate (PbAc) administered in drinking solutions was dissolved in distilled deionized water at the concentrations of 0.1, 0.5 and 1% groups ,respectively. On the postnatal day 21, the Pb levels in their blood and hippocampus were determined by graphite furnace atomic absorption spectrometry. The expression of IL 1β, IL 6, and GFAP in hippocampus was measured by immunohistochemistry and Western blotting. The Pb levels in blood and hippocampus of all Pb-exposed groups were significantly higher than that of the control group (p < 0.05). The expression of IL-1β, IL-6, and GFAP was increased in Pb-exposed groups in comparison with the control group (p < 0.05). The high expression of IL-1β, IL-6, and GFAP in the hippocampus of pups may contribute to the neurotoxicity associated with maternal Pb exposure.
Joint Training of Cascaded CNN for Face Detection

Cascade has been widely used in face detection, where classifier with low computation cost can be firstly used to shrink most of the background while keeping the recall. The cascade in detection is popularized by seminal Viola-Jones framework and then widely used in other pipelines, such as DPM and CNN. However, to our best knowledge, most of the previous detection methods use cascade in a greedy manner, where previous stages in cascade are fixed when training a new stage. So optimizations of different CNNs are isolated. In this paper, we propose joint training to achieve end-to-end optimization for CNN cascade. We show that the back propagation algorithm used in training CNN can be naturally used in training CNN cascade. We present how jointly training can be conducted on naive CNN cascade and more sophisticated region proposal network (RPN) and fast R-CNN. Experiments on face detection benchmarks verify the advantages of the joint training.
Rethinking responsibility in radiography: Some ethical issues in South Africa

The field of radiography in South Africa is complex and presents a multitude of ethical issues. The discipline is often regarded as a supporting function in the healthcare chain, and a stepping-stone in the diagnostic process. This status of the discipline seems to have left many radiographers in a position of substantial confusion. In the course of numerous bioethics presentations for radiographers in South Africa, several ethical and legal issues have recurrently come to my attention. This article aims to address some of these issues and to offer ethically and legally acceptable solutions. The proposed solutions are not absolute – they are based on personal discussions and experiences – and their practicability needs to be scrutinised. Consequently, this article should be seen as a starting point only.
Attention to Scale: Scale-Aware Semantic Image Segmentation

Incorporating multi-scale features in fully convolutional neural networks (FCNs) has been a key element to achieving state-of-the-art performance on semantic image segmentation. One common way to extract multi-scale features is to feed multiple resized input images to a shared deep network and then merge the resulting features for pixelwise classification. In this work, we propose an attention mechanism that learns to softly weight the multi-scale features at each pixel location. We adapt a state-of-the-art semantic image segmentation model, which we jointly train with multi-scale input images and the attention model. The proposed attention model not only outperforms averageand max-pooling, but allows us to diagnostically visualize the importance of features at different positions and scales. Moreover, we show that adding extra supervision to the output at each scale is essential to achieving excellent performance when merging multi-scale features. We demonstrate the effectiveness of our model with extensive experiments on three challenging datasets, including PASCAL-Person-Part, PASCAL VOC 2012 and a subset of MS-COCO 2014.
Pregnancy outcomes in women with inflammatory bowel disease following exposure to thiopurines and antitumor necrosis factor drugs

Several studies have indicated the harmful effect of flare-up periods in pregnant women with inflammatory bowel disease (IBD) on their newborns. Therefore, an effective and safe medical treatment during pregnancy is of great concern in IBD patients. The aim of this study was to perform a meta-analysis on the outcomes of thiopurines use and a systematic review of antitumor necrosis factor (anti-TNF) drugs used during pregnancy in women with IBD. The results of cohorts evaluating the safety of anti-TNF drugs during pregnancy up to July 2013 were collected and analyzed. In the meta-analysis, a total of 312 pregnant women with IBD who used thiopurines were compared with 1149 controls (women with IBD who were not treated with any medication and women who were exposed to drugs other than thiopurines) to evaluate the drug effect on different pregnancy outcomes, including prematurity, low birth weight, congenital abnormalities, spontaneous abortion, and neonatal adverse outcomes. Results of statistical analysis demonstrated that congenital abnormalities were increased significantly in thiopurine-exposed group in comparison with control group who did not receive any medicine for IBD treatment. The summary odds ratio was 2.95 with 95% confidence interval = 1.03–8.43 (p = 0.04). We observed no significant differences in occurrence of other adverse pregnancy outcomes between compared groups. The results of cohorts evaluated the safety of anti-TNF drugs during pregnancy demonstrated no increase in occurrence of adverse pregnancy outcomes in comparison with controls except for the significant decrease in gestational age of newborns of drug-exposed mothers in one trial. In conclusion, a benefit–risk ratio should be considered in prescribing or continuing medicinal therapy during pregnancy of IBD patients.
On the Synthesis of Boundary Control Laws for Distributed Port-Hamiltonian Systems

This paper is concerned with the energy shaping of 1-D linear boundary controlled port-Hamiltonian systems. The energy-Casimir method is first proposed to deal with power preserving systems. It is shown how to use finite dimensional dynamic boundary controllers and closed-loop structural invariants to partially shape the closed-loop energy function and how such controller finally reduces to a state feedback. When dissipative port-Hamiltonian systems are considered, the Casimir functions do not exist anymore (dissipation obstacle) and the immersion (via a dynamic controller)/reduction (through invariants) method cannot be applied. The main contribution of this paper is to show how to use the same ideas and state functions to shape the closed-loop energy function of dissipative systems through direct state feedback i.e. without relying on a dynamic controller and a reduction step. In both cases, the existence of solution and the asymptotic stability (by additional damping injection) of the closed-loop system are proven. The general theory and achievable closed-loop performances are illustrated with the help of a concluding example, the boundary stabilization of a longitudinal beam vibrations.
Effect of palonosetron (5HT-3 antagonist) and pantoprazole (proton pump inhibitor) against surgical esophagitis induced by forestomach and pylorus ligation in albino rats

This study was embarked upon to evaluate the effects of pantoprazole and palonosetron on experimental esophagitis in albino wistar rats. Groups of rats, fasted for 36 h, were subjected to pylorus and forestomach ligation, supervened by treatment with normal saline (3 ml/kg, po, sham control), esophagitis control (3 ml/kg, po), pantoprazole (30 mg/kg, po), palonosetron (0.5 mg/kg, po), and their combination. Animals were sacrificed after 12 h and appraised for the volume of gastric juices, total acidity, free acidity, and esophagitis index. Esophageal tissues were further figured out biochemically for markers of oxidative stress and inflammatory mediators. The combination therapy comparably inhibited the esophagitis index (52.86%), gastric volume (66.04%), free acidity (43.76%), and total acidity (42.60%) in comparison with toxic control. The combination therapy also subsidized the biochemical and inflammatory markers to the purview less than toxic control. The morphological changes were scrutinized by scanning electron microscopy and were observed to demonstrate momentous protection by the amalgamation therapy. Combination therapy with pantoprazole and palonosetron flaunted sententious protection against experimental esophagitis.
Inverting Visual Representations with Convolutional Networks

Feature representations, both hand-designed and learned ones, are often hard to analyze and interpret, even when they are extracted from visual data. We propose a new approach to study image representations by inverting them with an up-convolutional neural network. We apply the method to shallow representations (HOG, SIFT, LBP), as well as to deep networks. For shallow representations our approach provides significantly better reconstructions than existing methods, revealing that there is surprisingly rich information contained in these features. Inverting a deep network trained on ImageNet provides several insights into the properties of the feature representation learned by the network. Most strikingly, the colors and the rough contours of an image can be reconstructed from activations in higher network layers and even from the predicted class probabilities.
Lycopene attenuates dichlorvos-induced oxidative damage and hepatotoxicity in rats

Because of the widespread use of dichlorvos (DDVP) for domestic applications, evaluation of their toxic effects is of major concern to public health. Lycopene may lower oxidative stress by a mechanism that is not fully elucidated. The present study was undertaken to evaluate the protective efficacy of lycopene in terms of normalization of altered biochemical parameters following DDVP treatment in rats. Animals were divided into four groups. The first group was used as control, while groups 2, 3, and 4 were orally treated with lycopene (10 mg kg−1 body weight (b.w.)), DDVP (1.6 mg kg−1 b.w.), and DDVP plus lycopene, respectively. Results showed that oral administration of DDVP for 30 days increased the levels of lipid peroxidation markers such as malondialdehyde, 4-hydroxynonanal, and protein carbonyl content in liver. Also, a decrease in levels of vitamin C, vitamin E, and reduced glutathione was detected due to DDVP administration. These were accompanied by a decrease in the activities of antioxidant enzymes superoxide dismutase, catalase, glutathione peroxidase, and glutathione-S-transferase in the liver tissue. Moreover, DDVP increased the activities of serum transaminases, alkaline phosphatase, lactate dehydrogenase, and lipoxygenase, and the levels of bilirubin, total cholesterol, low-density lipoprotein cholesterol, triglyceride and DNA–protein crosslinks, and 8-hydroxy-2-deoxyguanosine, while decreased the level of high-density lipoprotein cholesterol. Our results provide new insights into the biochemical studies of relation between DDVP hepatotoxicity and lycopene treatment. Administration of lycopene to DDVP-treated rats reverted the status of hepatic markers to near-normal levels. These data suggest that lycopene can protect against the liver damage induced by DDVP.