Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Analysis of a Ducted High-Solidity Tidal Turbine

Effectively harnessing the power of the ocean for energy generation is no simple task. This paper elaborates a CFD model utilised to investigate the hydrodynamic performance concerning a ducted high-solidity tidal turbine. The model achieved good comparison with experimentation data for a three-bladed HATT, and was validated on three distinct parameters – power coefficient, thrust coefficient, and velocity profiles within the developed wake. Accordingly, the model was implemented for the analysis of a ducted high-solidity turbine, in aligned and yawed flows, where the outcomes were compared to data attained by means of BEMT, discussing the degree of similarity achieved.
Indirect revascularization for moyamoya disease: A pediatric neuroanesthesiology perspective

The patient is a 4‐year‐old male with no significant prior medical history who presented with acute onset of right arm and leg weakness. Neurological examination was significant for 4/5 strength in the right arm and 2/5 strength in the right leg. MRI of the brain was significant for acute cortical infarct of the left frontal lobe and FLAIR signal change of the deep frontal and periventricular white matter consistent remote ischemic insult [Figure 1a and b]. Cerebral angiogram demonstrated complete occlusion of the left distal internal carotid artery, dilated basal collateral “moyamoya” vessels, and no significant external carotid transdural collaterals (Suzuki grade 3) [Figure 2]. In preparation for revascularization surgery, the patient was pre‐medicated with intravenous dexmedetomidine 0.5 μg/kg, for anxiolysis prior to parental separation. Subsequent to operating room transfer, standard monitors were applied. Intravenous induction with fentanyl 2 μg/kg, lidocaine 2 mg/kg, propofol 2 mg/kg, and rocuronium 0.1 mg/kg was administered to quickly induce unconsciousness, maintain hemodynamic stability, and blunt the sympathetic response to endotracheal intubation. The patient’s vital signs remained near his baseline blood pressure of 90/52 mm Hg, 80 beats per minute (bpm), and pulse oximetry of 99%. Following intubation, the patient was placed on mechanical ventilation, pressure control mode, to achieve an end‐tidal CO2 of 35–40 mm Hg, with tidal volumes of 5–7 ml/kg. Anesthesia was maintained with sevoflurane at 0.9 MAC and a dexmedetomidine infusion at 0.2 μg/ kg/h. A right radial arterial line was placed to maintain a blood pressure range within 10% of his baseline, and to monitor acid base status and hematocrit. Intravascular volume was supported with an electrolyte‐balanced crystalloid throughout the case. The patient underwent left sided cerebral revascularization employing encephaloduroarteriosynangiosis and dural inversion without complications. During the revascularization, the patient experienced a brief episode of hypotension that resolved with a small dose of phenylephrine 0.5 μg/ kg and a crystalloid fluid bolus of 10 ml/kg. Following the reversal of neuromuscular blockade, the patient had an uneventful emergence from anesthesia. The dexmedetomidine infusion was continued during
Clinical validation of the Cervista® high-risk human papillomavirus test in Chinese women from Fujian province: a cross-sectional study

Purpose To estimate the high-risk human papillomavirus (HR-HPV) prevalence in a hospital-based population using the Cervista® and to determine the clinical value and significance of Cervista for cervical cancer screening in Fujian Province, China. Patients and methods In a hospital-based population, a total of 10,771 women from the Fujian Province were screened for cervical cancer and precancerous lesions using the thinprep cytologic test (TCT) and/or the Cervista. Women with HR-HPV infection and/or abnormal TCT were referred for colposcopy and biopsy. Pathological diagnosis was used as the gold standard. Results The overall HR-HPV prevalence was 16.57%. Among 10,229 cases, 976 had abnormal cytology results, of which, the HR-HPV positivity rate was 60.35% in this opportunistic screening population. The most common HR-HPV infection style was a simple infection. The most common species was A9 which was also the most prevalent species in all age. The women with CIN2+ (high-grade squamous intraepithelial lesion [HSIL]), especially cancer, were mostly concentrated in the age from 51 to 60 years old. The peak of CIN1 (low-grade squamous intraepithelial lesion, LSIL) prevalence was in the women aged 31–40. When using CIN1+, CIN2+ and CIN3+ as observed endpoints, the sensitivities were 86.07%, 92.73%, and 93.30% and negative likelihood ratio (NPV) were 99.15%, 99.75% and 99.83%, respectively. Cervista and TCT co-testing achieved the highest sensitivity and the lowest NLR. Conclusion The Cervista could be easily introduced in clinical practice in combination with TCT for cervical cancer screening in China. Patients with species A9 infection require a more actively clinical intervention.
Dielectric breakdown study of a nanofluid based on goethite nanoparticles

The study of electric breakdown in magnetic nanofluid is one of the basic characterizations from the dielectric point of view. In this article we put effort to study dielectric breakdown strength of the transformer oil doped with goethite rod-shape nanoparticles. We use oscilloscope technique to catch the breakdown value for DC and AC applied potential, respectively. The investigated sample was exposed to both, DC and AC electric potential. We point out that for DC dielectric strength there is a positive influence of goethite nanorods on dielectric strength till electrode gap doesn't exceed critical value. Otherwise, for AC electric potential there was practically no effect on dielectric strength of the investigated nanofluid. In the result and discussion we present more complex description of the measured data. We also provide information about preparation processes of the fluid and detailed description of the measurement setup.
Regional anesthesia to ameliorate postoperative analgesia outcomes in pediatric surgical patients: an updated systematic review of randomized controlled trials

Regional anesthesia is becoming increasingly popular among anesthesiologists in the management of postoperative analgesia following pediatric surgery. The main objective of this review was to systematically evaluate the last 5 years of randomized controlled trials on the role of regional anesthesia techniques in alleviating postoperative pain associated with various pediatric surgical procedures. Forty studies on 2,408 pediatric patients were evaluated. The majority of the articles published from 2013 to 2017 reported that the use of regional anesthesia minimized postoperative pain and reduced opioid consumption. Only a few surgical procedures (cholecystectomy, inguinal hernia repair, and non-laparoscopic major abdominal surgery) reported no significant difference in the postoperative pain relief compared with the standard anesthetic management. The growing number of randomized controlled trials in the pediatric literature is very promising; however, additional confirmation is needed to reinforce the use of specific regional anesthesia techniques to provide optimal postoperative pain relief for a few surgical procedures (reconstructive ear surgery, chest wall deformity, hypospadias, umbilical hernia, cleft palate repair) in pediatric patients. More randomized controlled trials are needed to establish regional anesthesia as an essential component of postoperative analgesia management in children.
Fabrication of a Nonplanar Microfluidics by Using Sonication-Assisted Dissolution Technique

The aim of this study is to develop a novel fabrication process for creating 3D and nonplanar microfluidic device as well as to study the factors which would influence the quality of the microfluidic devices. A three-dimensional thermoplastic mold was created by 3D printing technique and the mold material used herein is Acrylonitrile Butadiene Styrene (ABS). After the three-dimensional mold was realized, Polydimethylsiloxane (PDMS) casting was used to manufacture a three-dimensional PDMS microfluidic device in which the transparent microchannel are embedded inside the microfluidic device. Then the ABS mold was dissolved with Acetone solutions. The major challenge of this fabrication process is how to completely remove the ABS left inside the microchannels after PDMS casting. Two factors were studied, including how sonication efficiently removes the ABS in the casted PDMS microchannels and the influence of the inlet/outlet numbers to the removal efficiency of ABS. The experiment results clearly demonstrated that: (1) the aid of sonication process efficiently help dissolve the ABS inside the embedded microchannels; and (2) more inlets/outlets of the mold could significantly accelerate the dissolution process.
Multi-Resident Activity Recognition with Unseen Classes in Smart Homes

Multi-resident activity recognition is important to many applications in smart homes. Existing works in this area are usually based on supervised classification methods, and can only recognize the predefined activity classes that are labeled in the training data. However, in many practical applications, the activities needed to recognize contain not only the predefined activities but also the previously unseen activities. In this paper, we propose a method to solve the problem of multi-resident activity recognition with the previously unseen activity classes. Our method utilizes the techniques of multi-task learning and zero-shot learning. It regards the activity recognition of each resident as a learning task, and learns all tasks jointly. By utilizing zero-shot learning techniques, previously unseen activity classes can be recognized. We conduct extensive experiments on real-world datasets. The experimental results show the effectiveness of our method.
A Hierarchical and Distributed Fault Tolerant Proposal for NoC-Based MPSoCs

Aggressive scaling of CMOS process technology allows the fabrication of highly integrated chips such as NoC-based MPSoCs. However, fault probability increases when devices’ size reduces. Hence, fault tolerant design has an important role in current nanometric technologies, leading to research on fault mitigation techniques for NoC-based MPSoCs. Most of the state-of-the-art papers present partial solutions to design a fault tolerant MPSoC, i.e., they present fault tolerant mechanisms for either NoCs or processing elements (PEs). The goal of this paper is to propose a comprehensive integration of previously defined recovery mechanisms. The main novelty is the system-level integration itself, which is organized in a hierarchical and distributed manner, ensuring the correct execution of applications in the presence of multiple transient or permanent faults in both the NoC and/or the PEs. The combination of both NoC and PE recovery methods enable the proposed system to tolerate a very severe number of faults. Depending on the severity of the fault in the NoC, it may operate in degraded mode or require the search of fault-free paths. In both cases, the communication is reestablished in less than 50 microseconds. Faults detected into the PEs fire a lightweight and fast task relocation protocol, which executes in less than one millisecond.
Determinan Komplikasi Obstetri Di Indonesia (Analisis Data SDKI 2012)

Maternal mortality rate in Indonesia data IDHS on 2012 is still high at 359/100,000 live births, an increase of 57% compared to IDHS in 2007. One cause is due to obstetric complications. Compared to the 2002 and 2007 IDHS data, this figure is increasing and many factors affect the occurrence of obstetric complications. The objective is to know the determinant of obstetric complication based on IDHS data of 2012. This research use secondary data with cross sectional approach based on survey of IDHS 2012 with 4,618 samples. Result: Obstetric complication were 51,2% and there was significant correlation social of economy, parity, distance birth, history of complication, residence area, place of labor and quality of ANC to the obstetric complication. Result of research showed that there were correlation history of complication before OR=4,084, quality of ANC OR=1,187, place of labor OR=1,517, birth and parity spots interact with village residence against obstetric complications. Expected to improve quality services of ANC and ability of health worker to handle reference cases and improving readiness mother and family for recognize and anticipate incident of obstetric complication especially for mother who are at risk
Automated Monitoring and Analysis of Marine Mammal Vocalizations in Coastal Habitats

A partnership of the Gitga'at First Nation, WWF-Canada and the North Coast Cetacean Society has installed a long baseline hydrophone array in Squally Channel; a culturally, ecologically, and economically important marine environment in northern British Columbia (BC), Canada. The array consists of four synchronized bottom-mounted hydrophones that permanently record and radio-transmit data to a land-based laboratory in real-time. The array covers an area of approximately 200 km2 to realize long-term and wide-range monitoring of marine mammals. To allow for efficient data analysis, automated detectors for cetacean vocalizations have been developed in collaboration with the University of Victoria. The detection performance has been tested using manually annotated data. We present an overview of the detectors for orca and humpback whales, and their computational and analytic performance as a function of signal-to-noise ratio. The ability to adapt to different ocean environments and target species is demonstrated by applying the detectors to 100 days of archival acoustic data recorded at two different places along the BC coast. Data recorded during pilot studies in 2017 from Squally Channel (approximately 30 days) is used to provide an overview of cetacean vocalization detections. Finally, we show acoustic activity variations and trends based on environmental factors.
Modelling and simulation of PD characteristics in non-conductive electrical trees

Electric tree growth is a key ageing mechanism leading to breakdown of high voltage electrical insulation. Partial discharges (PDs) are invariably associated with electrical tree inception and propagation. In turn, the physical structure of an electrical tree influences the characteristics of partial discharge activity. Interpretation of PD patterns is therefore central to developing an understanding of the tree propagation process, and also to the use of PD patterns as an asset management tool. Our previous research indicates that the phase resolved PD (PRPD) patterns and pulse sequence analysis (PSA) patterns evolve with tree propagation. A method was proposed to estimate the point-on-wave inception and extinction voltages of PDs in tree channels within each power cycle. It was shown that the evolution of PD patterns is a consequence of changes to PD inception and extinction voltages as a tree develops. This paper provides a deterministic model of partial discharge in tree channels. Simulations of PDs in a straight non-conductive tree channel are based on experimental PD inception, extinction and residual voltages. The quantitative simulations reproduce almost all the characteristics of observed PRPD and PSA patterns. It is concluded that PD events are determined by five key parameters: tree structure, applied voltage, PD inception voltage, PD extinction voltage and PD residual voltage. Key parameters estimated by the method, and the models proposed explain PD activity in non-conductive trees. It is suggested that the PSA and PRPD patterns should be discussed together to fully understand the PD events. This model forms a platform for generating robust information for asset managers using PD measurements from high voltage equipment in service.
Abnormal functional connectivity of the amygdala is associated with depressive symptoms in patients with multiple system atrophy

Purpose Depressive symptoms are frequent nonmotor symptoms that occur in multiple system atrophy (MSA) patients. However, possible changes that can present in the amygdala (AMY) functional connectivity (FC) of the brain in MSA patients with depressive symptoms (DMSA patients) remain largely unknown. Materials and methods Resting-state functional magnetic resonance imaging scans were obtained from 29 DMSA patients, 28 MSA patients without depression symptoms (NDMSA patients), and 34 healthy controls (HCs). FC was analyzed by defining the bilateral AMY as the seed region. Correlation analysis was performed between the FC and clinical scores. Results When compared with NDMSA patients, DMSA patients showed increased bilateral AMY FC in the left middle frontal gyrus (MFG) and decreased right AMY FC in the left middle occipital gyrus. Moreover, the AMY FC values in the left middle frontal cortex were positively correlated with the Hamilton Depression Rating Scale-17 item scores. Furthermore, relative to the HCs, DMSA patients presented decreased bilateral AMY FC values in the visuospatial cortex, sensorimotor networks, and limbic areas. Conclusion Depressive symptoms are associated with AMY–MFG FC anomalies in MSA patients. We propose that the middle frontal cortex may play an important role in the neuropathophysiology of depression in MSA patients.
Theoretical Evaluation of Water Cloud Model Vegetation Parameters

The advantage of implementing the Water Cloud Model (WCM) is in being able to express complex scattering characteristics in a vegetated area with simple bulk vegetation descriptors. However, there has been a lack of understanding or consensus about the optimal set of vegetation descriptors. In this paper, the original and improved expressions of WCM are evaluated and the optimal vegetation descriptors are presented by examining the relationship between WCM vegetation parameters and the theoretical scattering model predictions. In addition, the condition-specific regression relationship between bulk vegetation descriptors and theoretical scattering and attenuation coefficients, expressed by the A and B parameters in the WCM, is analyzed in relation to the shape, size, and orientation distribution of the scatterer. Furthermore, the influence of radar observation conditions on the parameterization of the WCM is presented. The results show that the particle moisture content and the vegetation water content can be the optimal vegetation descriptors, denoted by the V1 and V2 variables in the WCM, respectively.
A reconfigurable accelerator based on fast Winograd algorithm for convolutional neural network in Internet of Things

Convolutional neural networks (CNNs) is an effective method widely applied in various compute vision tasks. However, it is increasingly difficult to take efficiency and configurability into account simultaneously as CNNs become more and more complicated, especially on Internet of Things (IoT) devices. To address this problem, this paper proposed a Winograd based reconfigurable architecture (WRA) for CNN acceleration. Via fully exploring the parallelism of Winograd algorithm, computational complexity can be largely reduced. Furthermore, a highly reusable data buffer architecture was proposed to realize maximal data reuse and minimal external memory access, which contributes to eliminate the bottleneck of memory bandwidth. Besides, the WRA accelerator can be dynamically reconfigurable so that most of CNNs models can be implemented quickly. WRA was implemented using Xilinx XC7Z102 platform and run at 150MHz clock frequency. Under the test of ShuffleNet, the WRA accelerator achieved 2137.2 GOP/s average convolution performance and 82.39 GOPS/W energy efficiency, which can satisfy both of the performance requirement and power limitation for most IoT scenarios.
Manual Welding with Robotic Assistance Compared to Conventional Manual Welding

This paper demonstrates the effectiveness of impedance compensation type robotic assistance, presented in a previous work, by comparing manual welding with robotic assistance to conventional manual welding without a robot. The novelty of the current paper is comparison of two sets of data that were published in separate studies, but were not yet compared to each other. One of these previous studies had demonstrated the effectiveness of the robotic assistance in comparison to welding with the robot interactively while the assistance-scheme was off, but not to the case of conventional manual welding as applied every-day in workshops without a robot. The other previous work had collecting welding data with a motion capture system while conventional manual welding in order to demonstrate the differences between novice and professional welders. The comparison presented in the current paper demonstrates that the robotic assistance significantly improves the performance of novice welders in comparison to conventional welding without a robot, whereas the performance of the professional welders remains almost constant across conventional welding and with robotic assistance. The results of this paper show the effectiveness of physically interactive robotic assistance technology to improve the performance of novice welders in the every-day industrial task of manual welding.
DePos: Accurate orientation-Free Indoor Positioning with Deep Convolutional Neural Networks

The smartphone-based indoor positioning has attracted considerable attention in recent years. In order to implement accurate and infrastructure-free positioning systems, researchers have tried to fuse magnetic field, $Wi-Fi$, and dead reckoning information applying particle filter technique. In fact, magnetic signals have high-resolution and $Wi-Fi$ signals are able to provide coarse-grained global results. However, in order to move particles, the particle filter requires the phone’s orientation aligned with the user moving directions, thus limiting its applications and impairing user experiences. In order to implement an orientation-free and infrastructure-free system, we propose a deep learning based positioning scheme. The proposed system constructs a new kind of rich-information positioning image, then Ieverages convolution neural network to automatically map positioning images to position predictions. We also present a novel extracting and labeling method to generate enough positioning images for training the neural network. Finally, experiments convincingly reveal that the proposed positioning system is orientation-free, infrastructure-free, and achieves good precisions.
Ornithopod diversity in the Griman Creek Formation (Cenomanian), New South Wales, Australia

During the Early Cretaceous, dinosaur communities of the Australian-Antarctic rift system (Eumeralla and Wonthaggi formations) cropping out in Victoria were apparently dominated by a diverse small-bodied ‘basal ornithopod’ fauna. Further north, in Queensland (Winton and Mackunda formations), poorly-represented small-bodied ornithopods coexisted with large-bodied iguanodontians. Our understanding of the ornithopod diversity from the region between the Australian-Antarctic rift and Queensland, represented by Lightning Ridge in central-northern New South Wales (Griman Creek Formation), has been superficial. Here, we re-investigate the ornithopod diversity at Lightning Ridge based on new craniodental remains. Our findings indicate a diverse ornithopod fauna consisting of two-to-three small-bodied non-iguanodontian ornithopods (including Weewarrasaurus pobeni gen. et sp. nov.), at least one indeterminate iguanodontian, and a possible ankylopollexian. These results support those of previous studies that favour a general abundance of small-bodied basal ornithopods in Early to mid-Cretaceous high-latitude localities of southeastern Australia. Although these localities are not necessarily time-equivalent, increasing evidence indicates that Lightning Ridge formed a ‘meeting point’ between the basal ornithopod-dominated localities in Victoria and the sauropod-iguanodontian faunas in Queensland to the north.