Damaged Region Research Articles

Microcapsule-Based Autonomous Self-Healing of Electrical Damage in Dielectric Polymers Induced by In Situ Generated Radicals.

Dielectric polymers are playing important roles in electrical and electronic industries. However, aging under high electric stress is a main threat to the reliability of polymers. In this work, we demonstrate a self-healing method for electrical tree damage based on radical chain polymerization, which is initiated by in situ radicals that are generated during electrical aging. Acrylate monomers contained in microcapsules will be released and flow into hollow channels after the capsules are punctured by electrical trees. Autonomous radical polymerization of the monomers will heal the damaged regions, which is triggered by radicals resulting from polymer chain scissions. After optimizing the healing agent compositions by evaluating their polymerization rate and dielectric properties, the fabricated self-healing epoxy resins showed effective recovery from treeing in multiple aging-healing cycles. We also expect the great potential of this method to heal tree defects autonomously without the need to switch off operating voltages. This novel self-healing strategy will shed light on building smart dielectric polymers with its broad applicability and online healing competence.

Damage Analysis of Box Girder Based on a Vehicle–Bridge Interaction System

This study proposes a stress analysis method of reinforced concrete (RC) box girder based on damage to reveal the dynamic mechanical response and damage mechanisms of a bridge under moving vehicle load. The effect of different vehicle mass, speed, concrete strength, and longitudinal reinforcement ratio on the stress of a single box girder is investigated using solid finite element vehicle–bridge interaction dynamic elastic–plastic analysis (a total of 13 kinds of loading schemes) that is based on the Newmark algorithms of a numerical analysis model of a five-axle vehicle and road roughness. The results reveal that the damage status of the RC box girder strongly depends on the vehicle mass and speed. The damage region of the box girder gradually increases, and changes from flexural damage to flexural-shear damage, which fails rapidly as the vehicle mass increases from 10 t to 60 t. With an increase in vehicle speed, the maximum vertical vibration displacement and the maximum longitudinal stress of the steel bar increase nonlinearly and the damage of the box girder first increases and then decreases. The most severe damage occurs at the vehicle speed of 25 m/s for all vehicle masses. As a result, limiting speed below 25 m/s under the vehicle mass (10 t to 60 t) and increasing concrete strength and reinforcement ratio in a certain range could reduce the damage status of a bridge effectively.

Damage mechanisms of bismaleimide matrix composites under transverse loading via quasi-static indentation

Abstract With the application of carbon fiber reinforced plastics (CFRPs), the damage behaviors and mechanisms are desirable to understand. In this work, the Bismaleimide (BMI) matrix composites were employed to study the damage mechanism under transverse loading through quasi-static indentation, where optical microscopy, ultrasonic C-scan, and scanning electron microscope were subjected to examine the damaged regions. The results show that cracks first take place in a resin-rich interlaminar region before the loading reached to a threshold value. Then, the cracks would develop into intralaminar cracks in the fiber bundle region consisting of the shear and bending cracks. Subsequently, the cracks randomly extend to adjacent plies and result in delamination. Finally, the back surface of composites presents a remarkable ply splitting and fiber breakage under increasing loading. Furthermore, conical-shaped indentation patterns in cross-sectional and the undamaged zone under the indenter suggest the BMI matrix composites possess potential applications in engineering materials with a superior stress-releasing structure.

Weakly supervised semantic segmentation for MRI: exploring the advantages and disadvantages of class activation maps for biological image segmentation with soft boundaries

Fully supervised semantic segmentation models require pixel-level annotations that are costly to obtain. As a remedy, weakly supervised semantic segmentation has been proposed, where image-level labels and class activation maps (CAM) can detect discriminative regions for specific class objects. In this paper, we evaluated several CAM methods applied to different convolutional neural networks (CNN) to highlight tissue damage of cod fillets with soft boundaries in MRI. Our results show that different CAM methods produce very different CAM regions, even when applying them to the same CNN model. CAM methods that claim to highlight more of the class object do not necessarily highlight more damaged regions or originate from the same high discriminatory regions, nor do these damaged regions show high agreement across the different CAM methods. Additionally, CAM methods produce damaged regions that do not align with external reference metrics, and even show correlations contrary to what can be expected.

Detectability of delamination in laminated CFRPs with diverse stacking sequences using eddy current method with T-R pancake coil

A T-R probe composed of two non-coaxial pancake-based coils is used to identify delamination at different depths of laminated CFRPs with diverse stacking sequences. This type of probe is capable of inspecting delamination, since an interactional in-plane currents across the adjacent and non-adjacent layers of CFRPs stacked by different fibers can be induced using pancake-type coil. For optimizing the probe performance, a frequency sweep method is conducted to obtain the appropriate working frequency. To fabricate the imperfect samples containing the delamination-based damage, a tailored Teflon film is inserted into the appointed interfaces of 16-layer CFRPs. The physical mechanism of delamination detection using pancake coil is analyzed by using FE method. After then, a set of ECT experiments for various CFRPs are performed to verify the sensitivity to delamination detected by pancake coil. Correspondingly, both shape and location of the delamination are compared with those obtained from a well-established UT device. Experimental results indicate that the sensitivity to delamination is high at the interface formed by different stacked fibers, but it lacks sensitivity to delamination in unidirectional one due to the same aligned fibers, which are qualitatively consistent with the numerical results. Unexpectedly, delamination at the interfaces between adjacent layers stacked by the same fibers of the other two CFRPs can still be distinguished from the non-damage region, while this phenomenon fails to explain by the numerical analysis. Quantitatively, the visualized damage region agrees with the UT C-scan results.

Development of Integrated Automatic System of Laser Cladding for Repairing of Polycrystalline Diamond Compact Bits

In order to improve the automatic level for laser-cladding repair of high value industrial equipment, such as polycrystalline diamond compact bit (PDC bit) applied in oil industry, a universal scheme of integrated automatic system for repairing is proposed in this paper, and the basic functional modules together with the executing order according to which each module runs are defined. There are two main technical points, i.e.,inspection and repairing, that need to be realized for such integrated automatic system. Therefore, according to the proposed scheme and the existing instruments, a dual-robot system, which includes two KUKA industrial robots, is adopted as the technological implementation, where one robot is used to carry a 3D scanner to reconstruct the PDC bit to realize inspection while the other is used to hold the laser to melt the special powder flowing to the damaged region of the bit to complete cladding. To realize automatic running of the whole integrated system, a hand-eye calibration method, namely three-point calibration, is then proposed, by which coordinates of point cloud of the damaged PDC bit detected by 3D scanner can be transformed to those of the coordinate system of the robot with the laser, so that the cladding path planned via cutting slice of the damaged region of the PDC bit in the upper computer software, the key of the integrated system developed by QT programming tool, can be tracked by laser head and then the damaged part of the PDC bit can be repaired. Finally, a laser-cladding experiment for repairing PDC bit is carried out and the feasibility of the proposed scheme of the integrated automatic system and the effectiveness of the dual-robot system implemented via KUKA robots are verified, According to existing literature, no papers about such integrated system for automatic laser cladding repair have been published.

Laser-induced microinjury of the corneal basal epithelium and imaging of resident macrophage responses in a live, whole-eye preparation.

The corneal epithelium is continuously subjected to external stimuli that results in varying degrees of cellular damage. The use of live-cell imaging approaches has facilitated understanding of the cellular and molecular mechanisms underlying the corneal epithelial wound healing process. Here, we describe a live, ex vivo, whole-eye approach using laser scanning confocal microscopy to simultaneously induce and visualize short-term cellular responses following microdamage to the corneal epithelium. Live-cell imaging of corneal cell layers was enabled using the lipophilic fluorescent dyes, SGC5 or FM4-64, which, when injected into the anterior chamber of enucleated eyes, readily penetrated and labelled cell membranes. Necrotic microdamage to a defined region (30 μm x 30 μm) through the central plane of the corneal basal epithelium was induced by continuously scanning for at least one minute using high laser power and was dependent on the presence of lipophilic fluorescent dye. This whole-mount live-cell imaging and microdamage approach was used to examine the behavior of Cx3cr1:GFP-expressing resident corneal stromal macrophages (RCSMs). In undamaged corneas, RCSMs remained stationary, but exhibited a constant extension and retraction of short (~5 μm) semicircular, pseudopodia-like processes reminiscent of what has previously been reported in corneal dendritic cells. Within minutes of microdamage, nearby anterior RCSMs became highly polarized and extended projections towards the damaged region. The extension of the processes plateaued after about 30 minutes and remained stable over the course of 2-3 hours of imaging. Retrospective immunolabeling showed that these responding RCSMs were MHC class II+. This study adds to existing knowledge of immune cell behavior in response to corneal damage and introduces a simple corneal epithelial microdamage and wound healing paradigm.

Multiplexing Cas9 activity with multi-target CRISPR.

We present multi-target CRISPR, an approach whereby a degenerate gRNA directs Cas9 to simultaneously target a large number of epigenetically diverse genomic locations. This multiplexing of CRISPR is enabled by targeting the highly abundant Alu repetitive elements. Combined with different next-generation sequencing readouts, multi-target CRISPR offered new insights into Cas9 activity and the ensuing cellular response. First, by interrogating the same protospacer in different genomic contexts, multi-target CRISPR showed that Cas9 binding is more efficient at open chromatin regions, and Cas9 cleavage is enhanced near transcribed regions. We then combined multi-target CRISPR with ATAC-Seq to unveil an increase in chromatin accessibility around Cas9 DSBs, which spreads over a window of ∼1 kb centered at the cut site. We attribute this chromatin opening to nucleosomes being evicted from the damaged region. Notably, the extent of chromatin opening is independent of the chromatin context in which the lesions occurs, suggesting that nucleosome eviction is a robust part of the DNA damage response. By combining multi-target CRISPR with photo-activatable gRNAs, we determined the characteristic time-scales of DSB-induced chromatin relaxation and found that nucleosome removal occurs within ∼30 min. Last, we combined multi-target CRISPR with a photo-deactivatable gRNA to measure chromatin dynamics after DSB repair completion. Once repair is completed, chromatin accessibility levels returned to their original pre-cleavage state within 1 h, revealing a quick repositioning of nucleosomes around the repaired cut site. Based on these measurements, we propose a model in which chromatin undergoes fast and transient opening in response to Cas9 breaks to facilitate recruitment of repair factors. In conclusion, multi-target CRISPR enables high-throughput studies of Cas9 activity and DNA repair in cellulo, revealing new insights on the interplay between Cas9 activity and chromatin.

The Hunt for Missing Tornadoes: Using Satellite Imagery to Detect and Document Historical Tornado Damage in Canadian Forests

Abstract Historical tornado events from 1982 to 2020 were documented within Canada’s forested regions using high-resolution satellite imagery. Tornado forest disturbances were identified using a three-step process: 1) detecting, 2) assessing, and 3) dating each event. A grid of 120 km × 120 km boxes was created covering Canada (excluding the extreme north). Of the 484 boxes, 367 were manually searched. Once a long, narrow region of tree damage was detected, it was first cross-referenced with known tornado databases to ensure it was a unique event. Once events were classified as either tornadic or downburst, the coordinates of the start, worst damage, and end locations were documented, as well as the direction of motion, damage indicators, degree of damage, estimated maximum wind speed, and F/EF-scale rating. In total, 231 previously unknown tornadoes were identified. In Ontario, 103 events were discovered, followed by 98 in Quebec, 9 in Manitoba, 6 in Saskatchewan, 9 in Alberta, 5 in British Columbia, and 1 in New Brunswick. The largest number of discovered tornadoes occurred in 2015, and the largest number of strong F2 tornadoes occurred in 2005. Most of the discovered tornadoes occurred in July for both F/EF1 and F/EF2 ratings. Most tornado tracks had widths between 200 and 400 m, and more than 50% of the tornadoes had a pathlength of less than 10 km. Of all the events that were discovered, 125 events could be fully dated, 19 were dated only by month, 41 were dated only by year, and 46 remained undated.

ARTICULAR WEAR PATTERNS OBSERVED IN HIP ARTHROSCOPIC PATIENTS ACROSS EARLY DISEASE STATES: A RETROSPECTIVE COHORT STUDY

Arthroscopic hip surgery is increasingly common in Australia. Hip arthroscopy is indicated for a range of diagnostic and therapeutic purposes, including labral tears, capsular laxity and femoral-acetabular impingement (FAI). Despite this, previous cohort studies aiming to characterise hip pathology seen on arthroscopic examination are mostly limited to patients with known diagnoses of FAI. Therefore, little is known of the native articular wear patterns encountered in other disease states. Therefore, we aimed to define common osteochondral wear patterns for a cohort of patients managed via hip arthroscopy.We retrospectively analysed intraoperative data for 1127 patients managed via hip arthroscopy between 2008 and 2013, for either therapeutic or diagnostic purposes. Intraoperative data was categorized by location (A-E as defined by Fontana et al. 2016) and chondral damage (0-4 scale as defined by Beck et al. 2005) with respect to both acetabulum and femoral head.Data for 1127 patients were included. Location of acetabular chondral pathology was variable with locations C1 and D1 representing the most common regions of damage. Labral tears predominated in locations C and D. Femoral chondral pathology was evenly distributed. The degree of femoral chondral injury was predominantly grade 1, whilst acetabular wear was evenly distributed.Large proportions of wear were observed at the peripheral superior and anterior regions of the lunate surface of the acetabulum in keeping with prior works. However, we observed higher rates of central wear and lower rates of grade 4 acetabular damage extending into superior/posterior zones, in our cohort.Our work characterises common articular wear patterns encountered at the time of hip arthroscopy. Further inquiry into the natural history of osteochondral lesions is needed to better understand and manage these conditions.

Laboratory Earthquakes Simulations—Typical Events, Fault Damage, and Gouge Production

AbstractWe propose a numerical model of laboratory earthquake cycle inspired by a set of experiments performed on a triaxial apparatus on sawcut Carrara marble samples. The model couples two representations of rock matter: rock is essentially represented as an elastic continuum, except in the vicinity of the sliding interface, where a discrete representation is employed. This allows to simulate in a single framework the storage and release of strain energy in the bulk of the sample and in the loading system, the damage of rock due to sliding, and the progressive production of a granular gouge layer in the interface. After independent calibration, we find that the tribosystem spontaneously evolves toward a stick‐slip sliding regime, mimicking in a satisfactory way the behavior observed in the lab. The model offers insights on complex phenomena which are out of reach in experiments. This includes the variability in space and time of the fields of stress and effective friction along the fault, the progressive thickening of the damaged region of rock around the interface, and the build‐up of a granular layer of gouge accommodating shear. We present in detail several typical sliding events, we illustrate the fault heterogeneity, and we analyze quantitatively the damage rate in the numerical samples. Some limitations of the model are pointed out, as well as ideas of future improvements, and several research directions are proposed in order to further explore the large numerical data set produced by these simulations.

High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations

Severe burn injuries often lead to skin contraction, leading to stresses in and around the damaged skin region. If this contraction leads to impaired joint mobility, one speaks of contracture. To optimize treatment, a mathematical model, that is based on finite element methods, is developed. Since the finite element-based simulation of skin contraction can be expensive from a computational point of view, we use machine learning to replace these simulations such that we have a cheap alternative. The current study deals with a feed-forward neural network that we trained with 2D finite element simulations based on morphoelasticity. We focus on the evolution of the scar shape, wound area, and total strain energy, a measure of discomfort, over time. The results show average goodness of fit (R2) of 0.9979 and a tremendous speedup of 1815000X. Further, we illustrate the applicability of the neural network in an online medical app that takes the patient's age into account.

Effect of reinforcement phases and post-cure temperature on adhesively bonded hybrid patch repair in indented glass/epoxy composite laminates

ABSTRACT This paper focuses on the experimental investigation on the effect of different fiber reinforcement phases and post-cure temperature to improve the strength recovery of adhesively bonded patch repair in glass/epoxy composite laminates. The repair was performed on the site of damaged region in the laminates by using various configurations of patches such as chopped glass (CG), chopped glass/carbon (CGC), chopped glass/kevlar (CGK), ply-by-ply glass (PG), ply-by-ply glass/carbon (PGC), ply-by-ply glass/kevlar (PGK), stitched glass (SG), stitched glass/carbon (SGC), and stitched glass/kevlar (SGK). The result reveals that the SGK hybrid patch repaired laminates offered a strength recovery by 101.5% as compared with damaged laminates. Further, the SGK hybrid patch was subjected to post-cure temperatures of 50°C, 70°C, 90°C, and 110°C which were considered based on the glass transition temperature (Tg) of glass/epoxy laminates. The result shows that the SGK hybrid patch with a post-cured temperature of 50°C has equal strength with virgin laminates and the strength recovery was improved by 112.9% as compared with damaged laminates. This study concluded that the adhesively bonded hybrid patch repair with a post-cure temperature of 50°C can be used for various fiber-reinforced polymer (FRP) industries to repair laminated composites.

Developing Test Methods for Compression after Lightning Strikes

Research into residual strength after lightning strike is increasing within the literature. However, standard test methods for measuring residual compressive strength after lightning strikes do not exist. For the first time, a systematic experimental study is undertaken to evaluate modifications necessary to standard Compression After Impact (CAI) specimen geometry and test jig design to induce specimen failure at the lightning damage region. Four laboratory generated lightning strike currents with peak amplitudes ranging from 25 to 100 kA have been studied. Test set-up modifications were made considering the scale of the lightning damage and its potential proximity to specimen edges. Specimen geometry and anti-buckling guides were adjusted for each peak current to induce specimen failure at the lightning damage. The Compression After Lightning (CAL) strength was 28% lower than the pristine CAI strength even at a relatively low peak current of 25 kA. This study shows that the standard CAI test setup has the potential for CAL application, however, careful modifications are required depending on the peak amplitude of the applied lightning current waveform.

Dynamic behavior of single curved fiber-metal hybrid lamina composite shells under blast loading-experimental observations

In the current study, the dynamic response of single curved fiber-metal hybrid lamina composite (FM-HLC) shells under blast loading was experimentally investigated. The influence of explosive mass and distance, the weave pattern of fiber-metal hybrid lamina, and the radius of curvature was analyzed. The experimental results show that the deformation modes of curved FM-HLC shells under blast are similar to that of metal shells when failure is absent. After failure happens, severe delamination only occurs at the site of damage region rather than extending to other area. This strongly demonstrates that FM-HLC shells have better anti-delamination performance than traditional FMLs when subject to blast loads. For different weave patterns, the global deformation of FM-HLCs decreases with the increase of longitudinal reinforcement level. When the radius of curvature increases from 250 mm to infinity (flat panel), the permanent deflection of the structure gradually increases. Meanwhile, the “counter-intuitive behavior” and “local reverse snap buckling” are observed in the experiments. This work not only provides a strategy for blast resistance design of FM-HLCs, but also offers a good reference for understanding the response of orthotropic panels/shells under blast impact.

Ultrasonic methods for the detection of near surface fatigue damage

Fatigue zones in a material can be identified using ultrasonic waves, as it has been shown that their propagation speed will reduce when travelling through such a zone. However, as fatigue damage is usually concentrated in a thin near-surface layer, through-thickness measurements result in very small changes of the average propagation speed across the full thickness, which are potentially difficult to reliably correlate to specific fatigue states. In this study, we have completed fatigue state assessments using Rayleigh waves, which travel on the surface of a material, to maximise those changes. We found that the use of Rayleigh waves amplifies the changes in speed, after propagation in the damaged region, by a factor of up to ten. The monotonic nature of the reduction in wave speed was verified against the theory using dislocation density measurements. Finally, a stiffness-reducing finite-element modelling technique, able to capture the effects of fatigue on the time of flight of longitudinal bulk and Rayleigh waves, was also derived and verified against the experimental measurements.

Effect of Damage on the Corrosion Performance of Thermal Spray Aluminium (TSA) Coating in Synthetic Seawater

A widely used coating system for corrosion mitigation of offshore steel structures is thermally sprayed aluminium (TSA). Even though these coatings have been used for decades, it is not always clear how they perform in service over long periods, particularly if damaged during installation or in service. To understand the corrosion behaviour of damaged TSA coatings in seawater and their tolerance to levels of damage, TSA coatings (1050 Al) were prepared on carbon steel substrates using wire arc spray and tested in synthetic seawater. Prior to testing, various levels of holidays or damage (~5%, 10%, 15% and 18%) reaching the steel substrate were drilled on the front surface of the coated specimens. Open circuit potential was measured and linear polarization resistance technique was used to calculate the corrosion rate. The work showed that the TSA coatings polarised steel to potentials below −800 mV (Ag/AgCl) at 25 °C, even in the presence of damage or holiday (up to ~18%). The SEM/EDX and XRD data confirmed the presence of brucite and aragonite in the damage region. The presence of damage impacted the short-term corrosion rate at the start, but did not significantly affect the overall corrosion performance of the TSA coatings in 420 days of testing.

Pomegranate Leaf Disease Detection Using Supervised and Unsupervised Algorithm Techniques

Pomegranate is a highly profitable fruit which produces abundantly in several Asian countries. However, due to a wide range of factors, the plants are infected with a wide range of illnesses that kill off the entire crop, leading to a catastrophically low product production. To address the issues in Phytopathology, this research suggests an image processing, supervised and unsupervised approach to wellness detection and categorization of pomegranate leaf. The diseases spread by insects and the environment affect the leaves. Some examples of these ailments include blight microbe, rot, and spot. The proposed system employs some images for training, and others for testing functions. First, a color image is preprocessed and employed k-means clustering to isolate the damaged region of the leaf. Locating the Region of Interest, scaling, color converting, and filtering are all part of the pre-processing process. Next, supervised learning models like ResNet and MobileNet are used to extract features and classify data. Classification criteria are utilized to locate the top-performing model. Metrics analysis reveals that MobileNet outperforms ResNet by 1.79%, providing an accuracy of 97.32%.

Real-Time Damaged Building Region Detection Based on Improved YOLOv5s and Embedded System From UAV Images

Detecting the damaged building regions is vital to humanitarian assistance and disaster recovery after a disaster. Deep-learning-techniques based on aerial and Unmanned Aerial Vehicle (UAV) images have been extensively applied in the literature to detect damaged building regions, which are approved to be effective methods for fast response actions and rescue work. However, most of the existing building damaged region detection methods only consider the extraction accuracy of damaged regions from aerial or UAV images, which are not real-time and can hardly meet the practical application of emergency response. To address this problem, a new real-time building damaged region detection based on improved YOLOv5 and adapted to an embedded system from UAV images is proposed, which is named as DB-YOLOv5. First, residual dilated convolution module(Res-DConv) is employed to extract the spatial features, which can increase the receptive field. Then, a feature fusion module(BDSCAM) is designed to enhance the expressive ability of object feature, which could improve the classification performance of detector. Finally, a Double-Head method, an integration system of fully connected and convolution head for bounding box regression and classification, executes the localization task. The proposed DB-YOLOv5 method was evaluated using post-disaster UAV images collected over Ludian, China in 2013 and Beichuan, China in 2008. We found that the experimental results demonstrate that the proposed method is high accuracy and efficient for building damaged region detection and assessment on the embedded system. This approach is robust and suitable for practical application in disaster scenarios.

Nanowired Delivery of Curcumin Attenuates Methamphetamine Neurotoxicity and Elevates Levels of Dopamine and Brain-Derived Neurotrophic Factor.

Curcumin is a well-known antioxidant used as traditional medicine in China and India since ages to treat variety of inflammatory ailments as a food supplement. Curcumin has antitumor properties with neuroprotective effects in Alzheimer's disease. Curcumin elevates brain-derived neurotrophic factor (BDNF) and dopamine (DA) levels in the brain indicating its role in substance abuse. Methamphetamine (METH) is one of the most abused substances in the world that induces profound neurotoxicity by inducing breakdown of the blood-brain barrier (BBB), vasogenic edema and cellular injuries. However, influence of curcumin on METH-induced neurotoxicity is still not well investigated. In this investigation, METH neurotoxicity and neuroprotective effects of curcumin nanodelivery were examined in a rat model. METH (20mg/kg, i.p.) neurotoxicity is evident 4h after its administration exhibiting breakdown of BBB to Evans blue albumin in the cerebral cortex, hippocampus, cerebellum, thalamus and hypothalamus associated with vasogenic brain edema as seen measured using water content in all these regions. Nissl attaining exhibited profound neuronal injuries in the regions of BBB damage. Normal curcumin (50mg/kg, i.v.) 30min after METH administration was able to reduce BBB breakdown and brain edema partially in some of the above brain regions. However, TiO2 nanowired delivery of curcumin (25mg/kg, i.v.) significantly attenuated brain edema, neuronal injuries and the BBB leakage in all the brain areas. BDNF level showed a significant higher level in METH-treated rats as compared to saline-treated METH group. Significantly enhanced DA levels in METH-treated rats were also observed with nanowired delivery of curcumin. Normal curcumin was able to slightly elevate DA and BDNF levels in the selected brain regions. Taken together, our observations are the first to show that nanodelivery of curcumin induces superior neuroprotection in METH neurotoxicity probable by enhancing BDNF and DA levels in the brain, not reported earlier.