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Objective MiRNAs play a key role in ischemic stroke (IS). Although miR-101-3p can participate in multiple disease processes, its role and mechanism in IS are not clear. The aim of the present study was to observe the effect of miR-101-3p activation on IS in young mice and the role of HDAC9 in this effect. Methods The young mice were first subjected to transient middle cerebral artery occlusion (tMCAO) or sham surgery, and the cerebral infarct area was assessed with 2,3,5-triphenyltetrazolium chloride staining. Meanwhile, the expressions of miR-101-3p and HDAC9 were tested using RT-qPCR or western blot. Besides, neuron morphology and apoptosis were confirmed using Nissl staining and TUNEL staining. Results We first verified that miR-101-3p was downregulated and HDAC9 was upregulated in the brain tissue of tMCAO young mice. Moreover, we proved that overexpression of miR-101-3p could improve cerebral infarction, neuronal morphology, and neuronal apoptosis in tMCAO young mice by lowering the expression of HDAC9. Conclusions Activation of miR-101-3p can protect against IS in young mice, and its mechanism is relevant to the inhibition of HDAC9. Therefore, miR-101-3p and HDAC9 might be the latent targets for IS therapy.

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We present the cases of two otherwise healthy adults, one with meningitis and another with a subdural abscess, with both conditions attributable to

The increasing autonomy and connectivity in cyber-physical systems (CPS) come with new security vulnerabilities that are easily exploitable by malicious attackers to spoof a system to perform dangerous actions. While the vast majority of existing works focus on attack prevention and detection, the key question is “what to do after detecting an attack?”. This problem attracts fairly rare attention though its significance is emphasized by the need to mitigate or even eliminate attack impacts on a system. In this article, we study this attack response problem and propose novel real-time recovery for securing CPS. First, this work’s core component is a recovery control calculator using a Linear-Quadratic Regulator (LQR) with timing and safety constraints. This component can smoothly steer back a physical system under control to a target state set before a safe deadline and maintain the system state in the set once it is driven to it. We further propose an Alternating Direction Method of Multipliers (ADMM) based algorithm that can fast solve the LQR-based recovery problem. Second, supporting components for the attack recovery computation include a checkpointer, a state reconstructor, and a deadline estimator. To realize these components respectively, we propose (i) a sliding-window-based checkpointing protocol that governs sufficient trustworthy data, (ii) a state reconstruction approach that uses the checkpointed data to estimate the current system state, and (iii) a reachability-based approach to conservatively estimate a safe deadline. Finally, we implement our approach and demonstrate its effectiveness in dealing with totally 15 experimental scenarios which are designed based on 5 CPS simulators and 3 types of sensor attacks.

Recently, increasing attention has been paid to the removal of antibiotic resistant bacteria (ARB) during electrochemical advanced oxidation processes. However, there is still no available literature about the application of electrochemical oxidation (EO) to enhance ARB removal in stormwater bioretention cells. Batch experiments were conducted to investigate target ARB (E. coli K-12 carrying blaTEM, tetR and aphA) removals in bioretention cells with different current densities and ratios of air to water (A/W). ARB removals for bioretention cells with 17.6 μA/m

Effective mitigation of thermal overloads is crucial in preventing power grid outages. With large-scale adoption of phasor measurement units, new and more effective mitigation opportunities have emerged. However, the possibility of false data attacks on the measured data, or the relay status information, threatens the promise of utilizing measurements for timely mitigation of thermal overloads. False data can lead to wrong estimation of the system states and the power flow model, which may eventually lead to wrong mitigations. To address these newly introduced challenges, in this article, a data-driven model-predictive control method is introduced for mitigation of the thermal overloads, which is resilient to false data injection attacks. This is achieved by constructing a data-driven power flow model from the trustworthy system measurements, which is independent from system topology and model parameters. Hence, the power flow model becomes immune to wrong system model information. To eliminate the adverse impacts of false data on the measurements, the actual system states are recovered from the historical trustworthy data if an attack is detected. Case studies demonstrate that the developed model predictive control methodology effectively identifies the optimal mitigations in a finite prediction horizon.

Purpose The purpose of this paper is to improve lubrication and anti-corrosion properties of the water-in-oil (W/O) microemulsion for rolling of copper strip and sheet to replace the traditional rolling oil. Design/methodology/approach The W/O microemulsion is prepared by using hydrogenated base oil, a deionized aqueous solution of 0.03 mol/L of Na2SO4 and composite emulsifier such as Sp20, Tx-7 or sodium petroleum sulfonate. Tribological behavior of the microemulsions and traditional cold rolling oil was conducted by MR-10A four-ball tester. The lubrication performance of microemulsion for cold rolling of copper strip was performed by cold-rolling experiment. The morphology of worn surface and the rolled copper was characterized. Anti-corrosion properties of microemulsion for rolled copper was investigated, and the corroded surface was analyzed by X-ray photoelectron spectrometer (XPS). Findings The results show that the extreme pressure and antiwear properties of the microemulsions have been improved; the average friction coefficient of the improved microemulsion is 0.065, which is 30% lower than the commercial cold rolling oil. For cold rolling of copper strip, the microemulsion has a higher thinning effect than the commercial cold rolling oil, and a smooth surface is obtained and the surface roughness (Sa) is decreased by 6.8%. The XPS analysis indicated microemulsion adsorbed on the copper surface mitigate the corrosion of oils. Originality/value This paper used the prepared W/O microemulsion as a new lubricant in the process of rolling for copper strip and sheet in industry, demonstrating the microemulsion has broad application prospects in the future. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2020-0227/

PURPOSE The echocardiographic measurement of left ventricular (LV) ejection fraction (EF) is dependent on professional experience and adequate visualization. Tissue motion of mitral annular displacement (TMAD) can be easily assessed using speckle-tracking echocardiography (STE), even in patients with poor acoustic windows. Therefore, this study aimed to assess whether left ventricular ejection fraction (LVEF) can be estimated using STE-derived TMAD when LVEF is not available. METHODS Four-hundred fifty-six outpatients were enrolled after excluding the patients whose LVEF measurements remained challenging or TMAD value could be confounded. An optimized regression model for LVEF-TMAD was developed in the derivation set (n = 287), and its reliability was verified in the validation set (n = 123) and regional wall motion abnormalities (RWMA) set (n = 46). RESULTS In the derivation set, the power models had the highest F-value. Therefore, the power equations were chosen to estimate LVEF by TMAD in the validation set. There was a near-zero bias and a narrow range between the observed and estimated LVEF. The highest intra-class correlation coefficient was found between the observed and the estimated LVEF by normalized TMAD at the midpoint of mitral annular (nTMADmid). Moreover, there were no significant differences between the observed and the estimated LVEF in the RWMA set. CONCLUSION The LVEF can be estimated with STE-derived TMAD, even for patients with RWMA, and nTMADmid may be the optimal parameter.

Background Shear wave elastography (SWE) directly quantifies the local arterial wall stiffness by calculating the elastic modulus. However, whether carotid wall elastic modulus can predict obstructive coronary artery disease (CAD) is not well known. We aimed to investigate the value of carotid wall elastic modulus measured using SWE in identifying obstructive CAD. Materials and methods We prospectively enrolled 61 patients without carotid plaque referred for clinically indicated coronary angiography. Twenty-seven (44.3%) patients were diagnosed with obstructive CAD (≥50% coronary stenosis). The elastic modulus of common carotid artery was quantified using SWE. Ankle--brachial index (ABI) and echocardiographic global cardiac calcium score (GCCS) were measured. Results Patients with obstructive CAD had significantly higher elastic modulus than those without obstructive CAD. The maximum elastic modulus (EMmax) was independently associated with obstructive CAD after adjusting for the Framingham risk score, ABI, and GCCS. EMmax had the highest area under the curve (AUC) to identify obstructive CAD (AUC 0.70; P = 0.003). In the nested models, the model based on the Framingham risk score and ABI (χ2 = 3.74) improved by adding GCCS (χ2 = 9.95) and further improved by adding EMmax (χ2 = 15.86). Adding EMmax to the combined ABI and GCCS model increased integrated discrimination index from 0.10 to 0.19. Conclusion Carotid wall elastic modulus measured using SWE is a useful predictor of obstructive CAD in patients without carotid plaque. We demonstrated the incremental and independent value of carotid wall elastic modulus in identifying obstructive CAD compared with clinical risk factors and other imaging predictors, including ABI and GCCS. Video abstract Please see the video, in Supplemental Digital Content 1, http://links.lww.com/HJH/B551 for more insights from the authors.

Background: Late-life depression often coexists with vascular cognitive impairment and affects the quality of life for elders. However, little is known about cortical morphometric interactions between subcortical vascular mild cognitive impairment (svMCI) and concomitant mild depressive symptoms at the early stage. Objective: We aimed to investigate cortical alterations of svMCI with and without depressive symptoms and determine whether these parameters are associated with depression symptoms and/or cognitive impairments. Methods: Surface based morphometry was performed on 18 svMCI patients with depressive symptoms (svMCI + D), 16 svMCI patients without depressive symptoms (svMCI–D), and 23 normal controls (NC). Results: Compared to NC, both svMCI + D and svMCI–D patients exhibited significantly decreased surface area (SA) in many cortical areas. Interestingly, svMCI + D patients showed significantly increased rather than decreased SA in right lateral occipital gyrus (LOG.R), and a consistent trend of increased SA in these areas compared to svMCI–D. In addition, the svMCI + D showed increased gray matter volume of left pericalcarine (periCAL.L) than svMCI–D, whereas svMCI–D showed decreased gray matter volume of periCAL.L than NC. Further correlation analyses revealed that the SA of left superior temporal gyrus (STG.L) and right lateral orbital part of frontal gyrus (lorbFG.R) were significantly correlated with Hamilton depression rating scale of svMCI + D. Conclusion: In conclusion, these results extend our insight into svMCI and add weight to reevaluation of concomitant early stage depressive symptoms. Moreover, we suggest that LOG.R∖periCAL.L∖STG.L∖lorbFG.R might serve as sensitive and trait-dependent biomarkers to detect concomitant depressive symptoms in svMCI patients.

Pulse wave velocity (PWV) measured by ultrafast ultrasound imaging can early evaluate arteriosclerosis. The study aimed to establish normal reference range for ufPWV in healthy adults and explore its influencing factors, and evaluate the ufPWV changes on coronary slow flow (CSF). ufPWV at the beginning and end of systole (ufPWV-BS and ufPWV-ES, respectively) was measured in healthy adults (201 cases). CSF was diagnosed based on thrombolysis in myocardial infarction (TIMI) frame count during coronary angiography. ufPWV-BS and ufPWV-ES were compared between CSF (50 cases) and control groups (50 healthy age-, body mass index-, and blood pressure-matched adults). In healthy adults, average ufPWV-BS and ufPWV-ES was 5.36 ± 1.27 m/s and 6.99 ± 1.93 m/s, respectively. ufPWV-BS and ufPWV-ES positively correlated with age, body mass index, and blood pressure. ufPWV-BS and ufPWV-ES in the CSF group were higher than in the control group (ufPWV-BS, 6.05 ± 1.07 vs. 5.26 ± 0.89 m/s, P

A membrane-based desalination system under consideration for shale gas fracturing flowback wastewater treatment involves ultrafiltration (UF), reverse osmosis (RO), and storage tanks. The membrane unit (UF, RO) consists of online washing, operation, and offline chemical washing sub-units. These sub-units operate in semi-continuous mode and have the similar characteristics as batch water-using processes. Based on their semi-continuous behaviors, the models of UF and RO sub-units are developed. The objective is to maximize the total water production ratio and profit while minimizing storage tank capacity. Three nonlinear programming optimization models are developed for an optimal design of the UF-RO treatment system for shale gas fracturing flowback wastewater. Two scenarios, fixed schedule and fixed operating period, for UF/RO treatment sub-units are investigated. Results show that with the increasing of the operation duration of treatment sub-units, the water production ratio and profit will increase. The schedule of treatment sub-units has significant impact on the water storage profiles, without adversely affecting the water production ratio. The proposed approach can guide the design of the UF-RO desalination system.

With the fast proliferation of cloud computing, major cloud service providers, e.g., Amazon, Google, Facebook, etc., have been deploying more and more geographically distributed data centers to provide customers with better reliability and quality of services. A basic demand in such a geo-distributed data center system is to transfer bulk volumes of data from one data center to another. Geographic distribution and large delay-tolerance of such inter-data-center bulk data transfers provide cloud service providers opportunities to optimize the operating cost. Most existing studies on inter-data-center bulk data transfers focus on minimizing the network bandwidth cost. However, the energy-cost of the bulk data transfers, which also accounts for a large proportion of operating cost in the data centers, still remains unexplored. This is an important problem, especially in the multi-electricity-market environment, where the electricity price exhibits both spatial and temporal diversities. In this paper, we systematically study the problem of how to route and schedule inter-data-center bulk data transfers to minimize the energy-cost for geo-distributed data centers. We model this problem as a min-cost multi-commodity flow problem and develop an efficient two-stage optimization method to solve it. Extensive evaluations with real-life inter-data-center network and electricity prices show that our method brings significant energy-cost savings over existing bulk data transfer methods.

We present the cases of two otherwise healthy adults, one with meningitis and another with a subdural abscess, with both conditions attributable to Streptococcus pneumoniae. A 31-year-old man was admitted with a 3-day history of fever, headache, and vomiting. Physical examination revealed intermittent confusion, irritability, and neck stiffness. Cerebrospinal fluid (CSF) culture was positive for S. pneumoniae. Contrast-enhanced magnetic resonance imaging (C-MRI) revealed multiple small lesions on the bilateral frontal lobes. Intravenous ceftriaxone and vancomycin were administered, followed by intravenous moxifloxacin. His symptoms resolved within 3 months. Additionally, a 66-year-old man was admitted for acute fever with confusion, abnormal behavior, and a recent history of acute respiratory infection. Physical examination revealed confusion, neck stiffness, and a positive right Babinski sign. CSF metagenomic analysis detected S. pneumoniae. C-MRI disclosed left occipitotemporal meningoencephalitis with subdural abscesses. Intravenous ceftriaxone was administered for 3 weeks. His condition gradually improved, with resorbed lesions detected on repeat MRI. This study expanded the clinical and imaging spectra of S. pneumoniae meningitis. In healthy adults, S. pneumoniae can invade the brain, but subdural abscess is a rare neuroimaging manifestation. Early diagnosis of S. pneumoniae meningitis by high-throughput sequencing and flexible treatment strategies are necessary for satisfactory outcomes.

In this work, a new type of UiO-66 incorporated polysulfone (PSf) ultrafiltration (UF) membranes was fabricated to enhance antifouling properties and heavy metal ions removal efficiency. The UF membranes incorporating different loadings of the UiO-66 filler were prepared via the classical phase inversion process. These membranes unveiled enhanced hydrophilicity, porosity, water uptake, zeta potential, mechanical strength, permeability, and HA removal ratios due to the incorporation of hydrophilic UiO-66 fillers. Particularly, HA rejection ratios were observed to be approximately 93% for all the modified membranes, which was attributed to electrostatic repulsion interactions between the hydrophilic groups of HA and UiO-66. Moreover, the antifouling abilities of the modified membranes were evaluated and found to be much better with a high flux recovery ratio (FRR) of about 88% when compared to the blank PSf membrane (only around 34%). Moreover, the UiO-66 incorporated membranes were highly-effective in the removal of contaminants like heavy metal ions (Sr

Unmanned aerial vehicles (UAVs) have numerous applications in various scenarios and disciplines including wireless communications and Internet of Things (IoT). This paper studies the trajectory design and collision avoidance in both single-UAV and multiple-UAV settings. During a mission, UAVs communicate with the ground base stations (GBS). In this work, it is assumed that UAVs are equipped with antennas with different radiation patterns. These antenna patterns impact the trajectory design of the UAVs. To achieve efficient performance in UAV trajectory planning, we implement an enhanced-artificial potential field (enhanced-APF) algorithm. The implemented algorithm leads to UAV trajectory designs with collision avoidance, and enables us to identify the overall impact of the 3D antenna patterns on the UAV trajectory. The experimental results demonstrate the effectiveness and the performance of the algorithm, resulting in a smoother trajectory path for UAVs.

Recent emerging technologies such as artificial intelligence and machine learning have been promising enormous economic and societal benefits. While it is desirable to deploy these technologies to Internet-of-Things (IoT) infrastructures in many applications such as medical, energy, transportation, and industrial automation systems, such deployments present daunting challenges in performance, efficiency, and dependability of scaling-up IoT infrastructure, due to the ever-increasing number of edge devices, ever-increasing levels of device and system heterogeneity, and more stringent requirements of reliability, robustness, and security in mission-critical settings. This position paper elaborates the needs for a cross-layer and full hardware/software stack solution for the design and deployment of scalable, secure, and smart mission-critical IoT systems from four different perspectives and research fields. We present a review of recent studies on such issues and identify the potential challenges and gaps, based on which we highlight some important research directions and future works that can be conducted to tackle such challenges.