Bilateral Facial Paralysis Caused by Temporal Bone Fracture: A Case Report

Introduction: Although bilateral facial nerve palsy is a rare condition, its etiology is more detectable than the unilateral type. A temporal bone fracture is one cause of bilateral facial nerve palsy, contributing in 3% of the cases. Case Presentation: Here, we report the case of a 35-year-old man complaining of bilateral incomplete eye closure, two weeks after a closed head injury caused by a motor vehicle accident. Conclusions: The high resolution computed tomography findings revealed a bilateral temporal bone fracture line, which extended to the fallopian canal. With regard to treatment, near complete recovery was obvious after two weeks of treatment with oral corticosteroids. Overall, bilateral facial palsy is hard to diagnose; therefore, clinical suspicion and the early detection of facial nerve injuries is necessary for good nerve recovery in temporal bone fractures

Dysphagia and dyspnea by lingual thyroid mass: An appropriate approach

Lingual thyroid is a rare embryological anomaly originated from the thyroid gland failure that descends from the foramen cecum to its normal eutopic pre-laryngeal site. The case in this study was a 39. year old female, presenting with the sensation of a foreign body, progressive dysphagia and dyspnea. Indirect laryngoscopy revealed a large well-defined mass in the tongue base. Imaging studies confirmed the diagnosis of large ectopic lingual thyroid. The surgery was performed via an external cervical approach due to the mass size. The decision on the best treatment looks into the mass position, size, symptoms, airway emergency and medical facilities. © 2014

Initial salinity tolerance and ion-osmotic parameters in juvenile Russian sturgeon, Acipenser gueldenstaedtii, Brandt, 1833

The salinity tolerance, hematological and hydromineral regulation capabilities of juvenile Russian sturgeon (Acipenser gueldenstaedtii) were investigated in different ages and sizes in freshwater (FW: 0.05) but differed in experimental media (p0.05). However, the results showed that the above parameters in fish fingerlings did not return to initial values in the new environment and then physiological changes happened

Adversarial Training for Free!

Adversarial training, in which a network is trained on adversarial examples, is one of the few defenses against adversarial attacks that withstands strong attacks. Unfortunately, the high cost of generating strong adversarial examples makes standard adversarial training impractical on large-scale problems like ImageNet. We present an algorithm that eliminates the overhead cost of generating adversarial examples by recycling the gradient information computed when updating model parameters. Our "free" adversarial training algorithm achieves comparable robustness to PGD adversarial training on the CIFAR-10 and CIFAR-100 datasets at negligible additional cost compared to natural training, and can be 7 to 30 times faster than other strong adversarial training methods. Using a single workstation with 4 P100 GPUs and 2 days of runtime, we can train a robust model for the large-scale ImageNet classification task that maintains 40% accuracy against PGD attacks. The code is available at https://github.com/ashafahi/free_adv_train.Comment: Accepted to NeurIPS 201

Automated recognition of sleep arousal using multimodal and personalized deep ensembles of neural networks

Background and Aim: Monitoring physiological signals during sleep can have substantial impact on detecting temporary intrusion of wakefulness, referred to as sleep arousals. To overcome the problems associated with the cubersome visual inspection of these events by experts, sleep arousal recognition algorithms have been proposed. Method: As part of the Physionet/Computing in Cardiology Challenge 2018, this study proposes a deep ensemble neural network architecture for automatic arousal recognition from multi-modal sensor signals. Separate branches of the neural network extract features from electro-encephalography, electrooculography, electromyogram, breathing patterns and oxygen saturation level; and a final fully-connected neural network combines features computed from the signal sources to estimate the probability of arousal in each region of interest. We investigate the use of shared-parameter Siamese architectures for effective feature calibration. Namely, at each forward and backward pass through the network we concatenate to the input a user-specific template signal that is processed by an identical copy of the network. Result: The proposed architecture obtains an AUPR score of 0.40 on the test set of the official phase of Physionet/CbiC Challenge 2018. A score of 0.45 is obtained by means of 10 -fold cross-validation on the training set

A Review on Superconducting Magnetic Energy Storage System Applications

Superconducting Magnetic Energy Storage is one of the most substantial storage devices. Due to its technological advancements in recent years, it has been considered reliable energy storage in many applications. This storage device has been separated into two organizations, toroid and solenoid, selected for the intended application constraints. It has also been used in many industries, such as transportation, renewable energy utilization, power system stabilization, and quality improvement. This chapter discusses various SMES structures and their applications in electric and power systems. Here, the authors try to deliver a comprehensive view for scholars whose research is related to the SMES by examination of the published articles while providing a brief guideline of this modern technology and its applications

INVESTIGATION OF THE RELATIONSHIP BETWEEN PHASE ANGLE AND MICRO-ALBUMINURIA IN TYPE 2 DIABETIC PATIENTS WITH A HISTORY OF MORE THAN 5 YEARS OF THE DISEASE IN ILAM PROVINCE, IRAN

Introduction: Phase angle is the ratio between cell mass and fat-free tissue and a cell health indicator which is measurable through bio-impedance analysis with 50 KHZ alternating current and can be interpreted as a voltage and a wave-form current. Diabetes mellitus contains a group of metabolic disorders that are in common in terms of appearance characteristic of hyperglycemia. Micro-albuminuria of urine albumin amounts 30-300mg/24h and the higher values are for diagnostic diabetic nephropathy. The aim of this study was to determine the relationship between Phase angle and micro-albuminuria in type 2 diabetic patients with a history of more than 5 years of the disease in the city of Ilam. Materials and methods: This is an analytical-practical case-control study and statistical society includes two case and control groups with an average age 52.06 +/- 6.69 years in case group and 50.02 +/- 5.42 years in the control group. The sample size in each group has been designated equal to 50 and data analysis is performed using SPSS and parametric and Non-parametric statistical methods and the related tests. Conclusion: The average Ph. A was obtained equal to 5.87 +/- 1.42 in the case group and 7.29 +/- 0.355 in the control group which statistically significant relationship exists between the two groups in Ph. A value (P<0.000). Average micro-albuminuria was 67.32 +/- 75.92 in the case group and 0.276 +/- 0.147 in the control group which there was a significant relationship statistically between the amount of micro-albuminuria within the both groups (P< 0.000). Discussion: By investigation of the relationship between ph. Angle and micro-albuminuria in diabetic patients it can be concluded that the amount Ph. A reduces with the increase of micro-albuminuria and by increasing micro-albuminuria, the variables of overall body water volume, intracellular water and extracellular water relatively increase and fat mass relatively decreases

The use of locus specific microsatellite markers for detecting genetic variation in hatchery bred probarbus jullieni.

This study is to demonstrated that microsatellites markers developed for Tor tambroides can be used to amplify microsatellite loci in other family. It is assumed that microsatellite loci are more conserved for aquatic species compared to terrestrial ones due to aquatic environments are less mutagenic than terrestrial ones. Development of microsatellites still requires investment of time and resources. Thus using loci already developed in a related species may provide a cost-effective alternative to microsatellite isolation and development in a species of interest in present study, Probarbus jullieni. In this study we investigated the possibility of the conservation of microsatellite flanking regions among different species. Nine pairs of SSR primers, five gave very strong banding profile (SYK1, SYK 2, SYK 5 SYK 8 and SYK 9) which could be used for population studies by using the nested protocol. Results showed that SYK 2 and SYK 9 flanked the same (CA)n repeats and thus are highly conserved in a different species. The products of the SYK 5, 8 and 1 primer pairs showed differences in the microsatellite regions which they flanked in Probarbus jullieni when compared to those of the source species, Tor tambroides. The mean observed heterozygosity levels for all the primers ranged 0.23-0.81. The primers are all polymorphic with the mean number of alleles from 2-5

Increased functional connectivity within alpha and theta frequency bands in dysphoria: A resting-state EEG study

Background: The understanding of neurophysiological correlates underlying the risk of developing depression may have a significant impact on its early and objective identification. Research has identified abnormal resting-state electroencephalography (EEG) power and functional connectivity patterns in major depression. However, the entity of dysfunctional EEG dynamics in dysphoria is yet unknown. Methods: 32-channel EEG was recorded in 26 female individuals with dysphoria and in 38 age-matched, female healthy controls. EEG power spectra and alpha asymmetry in frontal and posterior channels were calculated in a 4-minute resting condition. An EEG functional connectivity analysis was conducted through phase locking values, particularly mean phase coherence. Results: While individuals with dysphoria did not differ from controls in EEG spectra and asymmetry, they exhibited dysfunctional brain connectivity. Particularly, in the theta band (4-8 Hz), participants with dysphoria showed increased connectivity between right frontal and central areas and right temporal and left occipital areas. Moreover, in the alpha band (8-12 Hz), dysphoria was associated with increased connectivity between right and left prefrontal cortex and between frontal and central-occipital areas bilaterally. Limitations: All participants belonged to the female gender and were relatively young. Mean phase coherence did not allow to compute the causal and directional relation between brain areas. Conclusions: An increased EEG functional connectivity in the theta and alpha bands characterizes dysphoria. These patterns may be associated with the excessive self-focus and ruminative thinking that typifies depressive symptoms. EEG connectivity patterns may represent a promising measure to identify individuals with a higher risk of developing depression