The increasing incidence of neurodegenerative diseases(NDs)and the constraints of existing treatment methods have spurred a keen interest in investigating alternative therapies.Medicinal plants,renowned for their long...The increasing incidence of neurodegenerative diseases(NDs)and the constraints of existing treatment methods have spurred a keen interest in investigating alternative therapies.Medicinal plants,renowned for their long-standing use in traditional medicine,offer a hopeful avenue for discovering new neuroprotective agents.This study emphasizes the potential neuroprotective characteristics of edible fruit plants in Bangladesh,specifically focusing on their traditional folk medicine uses for neurological disorders.This study provides an in-depth overview of the different types of edible fruit trees in Bangladesh and their phytochemicals,including flavonoids,terpenoids,and phenolic acids.This work examines the scientific data supporting the neuroprotective properties of bioactive chemicals from plants.It further explores the mechanisms by which these compounds work to counteract oxidative stress,decrease inflammation,and stimulate neurogenesis.Moreover,the study investigates toxicological characteristics and bioactive components of some fruits,emphasizing the importance of further investigation to measure their safety profile comprehensively.This thorough study highlights the potential benefits of Bangladesh's edible fruit trees as a rich source of neuroprotective chemicals.It also shows that additional research might lead to novel approaches for improving brain functioning and preventing NDs.展开更多
Glaucoma,an irreversible optic neuropathy,primarily affects retinal ganglion cells(RGC)and causes vision loss and blindness.The damage to RGCs in glaucoma occurs by various mechanisms,including elevated intraocular pr...Glaucoma,an irreversible optic neuropathy,primarily affects retinal ganglion cells(RGC)and causes vision loss and blindness.The damage to RGCs in glaucoma occurs by various mechanisms,including elevated intraocular pressure,oxidative stress,inflammation,and other neurodegenerative processes.As the disease progresses,the loss of RGCs leads to vision loss.Therefore,protecting RGCs from damage and promoting their survival are important goals in managing glaucoma.In this regard,resveratrol(RES),a polyphenolic phytoalexin,exerts antioxidant effects and slows down the evolution and progression of glaucoma.The present review shows that RES plays a protective role in RGCs in cases of ischemic injury and hypoxia as well as in ErbB2 protein expression in the retina.Additionally,RES plays protective roles in RGCs by promoting cell growth,reducing apoptosis,and decreasing oxidative stress in H_(2)O_(2)-exposed RGCs.RES was also found to inhibit oxidative stress damage in RGCs and suppress the activation of mitogen-activated protein kinase signaling pathways.RES could alleviate retinal function impairment by suppressing the hypoxia-i nducible factor-1 alpha/vascular endothelial growth factor and p38/p53 axes while stimulating the PI3K/Akt pathway.Therefore,RES might exert potential therapeutic effects for managing glaucoma by protecting RGCs from damage and promoting their survival.展开更多
Brazil’s deforestation monitoring integrates accuracy and current monitoring for land use and land cover applications.Regular monitoring of deforestation and non-deforestation requires Sentinel-2 multispectral satell...Brazil’s deforestation monitoring integrates accuracy and current monitoring for land use and land cover applications.Regular monitoring of deforestation and non-deforestation requires Sentinel-2 multispectral satellite images of several bands at various frequencies,the mix of high-and low-resolution images that make object classification difficult because of the mixed pixel problem.Accuracy is impacted by the mixed pixel problem,which occurs when pixels belong to different classes and makes detection challenging.To identify mixed pixels,Band Math is used to merge numerous bands to generate a new band NDVI.Thresholding is used to analyze the edges of deforested and non-deforested areas.Segmentation is then used to analyze the pixels which helps to identify the number of mixed pixels to compute the deforested and non-deforested areas.Segmented image pixels are used to categorize the deforestation of the Brazilian Amazon Forest between 2019 and 2023.Verify how many pixels are mixed to improve accuracy and identify mixed pixel issues;compare the mixed and pure pixels of fuzzy clustering with the subtracted morphological image pixels.With the help of segmentation and clustering researchers effectively validate mixed pixels in a specific area.The proposed methodology is easy to analyze and helpful for an appropriate calculation of deforested and non-deforested areas.展开更多
Deforestation is the purpose of converting forest into land and reforestation compared to deforestation is very low.That’s why closely and accurately deforestation monitoring using Sentinel-1 and Sentinel-2 satellite...Deforestation is the purpose of converting forest into land and reforestation compared to deforestation is very low.That’s why closely and accurately deforestation monitoring using Sentinel-1 and Sentinel-2 satellite images for better vision is required.This paper proposes an effective image fusion technique that combines S-1/2 data to improve the deforested areas.Based on review,Optical and SAR image fusion produces high-resolution images for better de-forestation monitoring.To enhance the S-1/2 images,preprocessing is needed as per requirements and then,collocation between the two different types of images to mitigate the image registration problem,and after that,apply an image fu-sion machine learning approach,PCA-Wavelet.As per analysis,PCA helps to maintain spatial resolution,and Wavelet helps to preserve spectral resolution,gives better-fused images compared to other techniques.As per results,2019 S-2 pre-22 processed collocated image enhances 42.2508 km deforested area,S-1 preprocessed collocated image enhances 23.7918 km^(2) deforested area,and after fusion of the 2019 S-1/2 images,it enhances 16.5335 km deforested area.Similarly,the 20232 S-2 preprocessed collocated image enhances 49.2216 km deforested area,S-1 preprocessed collocated image enhances 2223.8459 km deforested area after fusion of the 2023 S-1/2 images,enhancing 35.9185 km deforested area.These im-provements show that combining data sources gives a clearer and more reliable picture of forest loss over time.The overall paper objective is to apply effective techniques for image fusion of Brazil’s Amazon Forest and analyze the difference between collocated image pixels and fused image pixels for accurate analysis of deforested area.展开更多
Vitex negundo(V.negundo),an Indian herb with a rich historical background for the handling of various complaints,is a member of the Verbenaceae family and is characterized by small trees with pale gray bark.This herb ...Vitex negundo(V.negundo),an Indian herb with a rich historical background for the handling of various complaints,is a member of the Verbenaceae family and is characterized by small trees with pale gray bark.This herb is widely used and has been recognized in traditional medicine for its pharmacological effects on a wide range of diseases.All sections of the plant,but particularly the leaves,contain a variety of secondary metabolites,including alkaloids,phenols,flavonoids,glycoside iridoids,tannins,and terpenes.The system is included in a number of store-bought herbal preparations and has the potential to function as an efficient bio-committee.Cancer continues to be a major cause of death and morbidity in spite of the intervention.One of the leading causes of death is cancer,and current therapies can have unpleasant side effects.Unhindered reactions,resistance to traditional cancer medications,radiation therapy,chemotherapy,and restricted access to tumor tissue are some of the reasons why treatment frequently fails.To reduce side effects,increase chemotherapy sensitivity,and slow the spread of cancer,new approaches are required.Small food molecules have been suggested in numerous research as supplemental therapies for cancer patients.The effectiveness of the flavonoid-rich V.negundo extract in treating cancer was assessed mechanically in this investigation.Total flavonoids have been isolated for qualitative phytochemical investigation using V.negundo ethanolic extract.This article highlights significant developments in this field and explores how flavonoids contribute to the targeted suppression of the phosphoinositide 3-kinase-protein kinase B-mammalian target of rapamycin pathway in different cancer types.展开更多
Image tampering detection and localization have emerged as a critical domain in combating the pervasive issue of image manipulation due to the advancement of the large-scale availability of sophisticated image editing...Image tampering detection and localization have emerged as a critical domain in combating the pervasive issue of image manipulation due to the advancement of the large-scale availability of sophisticated image editing tools.The manual forgery localization is often reliant on forensic expertise.In recent times,machine learning(ML)and deep learning(DL)have shown promising results in automating image forgery localization.However,the ML-based method relies on hand-crafted features.Conversely,the DL method automatically extracts shallow spatial features to enhance the accuracy.However,DL-based methods lack the global co-relation of the features due to this performance degradation noticed in several applications.In the proposed study,we designed FLTNet(forgery localization transformer network)with a CNN(convolution neural network)encoder and transformer-based attention.The encoder extracts local high-dimensional features,and the transformer provides the global co-relation of the features.In the decoder,we have exclusively utilized a CNN to upsample the features that generate tampered mask images.Moreover,we evaluated visual and quantitative performance on three standard datasets and comparison with six state-of-the-art methods.The IoU values of the proposed method on CASIA V1,CASIA V2,and CoMoFoD datasets are 0.77,0.82,and 0.84,respectively.In addition,the F1-scores of these three datasets are 0.80,0.84,and 0.86,respectively.Furthermore,the visual results of the proposed method are clean and contain rich information,which can be used for real-time forgery detection.The code used in the study can be accessed through URL:https://github.com/ajit2k5/Forgery-Localization(accessed on 21 January 2025).展开更多
In the burgeoning field of anomaly detection within attributed networks,traditional methodologies often encounter the intricacies of network complexity,particularly in capturing nonlinearity and sparsity.This study in...In the burgeoning field of anomaly detection within attributed networks,traditional methodologies often encounter the intricacies of network complexity,particularly in capturing nonlinearity and sparsity.This study introduces an innovative approach that synergizes the strengths of graph convolutional networks with advanced deep residual learning and a unique residual-based attention mechanism,thereby creating a more nuanced and efficient method for anomaly detection in complex networks.The heart of our model lies in the integration of graph convolutional networks that capture complex structural relationships within the network data.This is further bolstered by deep residual learning,which is employed to model intricate nonlinear connections directly from input data.A pivotal innovation in our approach is the incorporation of a residual-based attention mech-anism.This mechanism dynamically adjusts the importance of nodes based on their residual information,thereby significantly enhancing the sensitivity of the model to subtle anomalies.Furthermore,we introduce a novel hypersphere mapping technique in the latent space to distinctly separate normal and anomalous data.This mapping is the key to our model’s ability to pinpoint anomalies with greater precision.An extensive experimental setup was used to validate the efficacy of the proposed model.Using attributed social network datasets,we demonstrate that our model not only competes with but also surpasses existing state-of-the-art methods in anomaly detection.The results show the exceptional capability of our model to handle the multifaceted nature of real-world networks.展开更多
This paper introduces a novel optimization approach called Recuperated Seed Search Optimization(RSSO),designed to address challenges in solving mechanical engineering design problems.Many optimization techniques strug...This paper introduces a novel optimization approach called Recuperated Seed Search Optimization(RSSO),designed to address challenges in solving mechanical engineering design problems.Many optimization techniques struggle with slow convergence and suboptimal solutions due to complex,nonlinear natures.The Sperm Swarm Optimization(SSO)algorithm,which mimics the sperm’s movement to reach an egg,is one such technique.To improve SSO,researchers combined it with three strategies:opposition-based learning(OBL),Cauchy mutation(CM),and position clamping.OBL introduces diversity to SSO by exploring opposite solutions,speeding up convergence.CM enhances both exploration and exploitation capabilities throughout the optimization process.This combined approach,RSSO,has been rigorously tested on standard benchmark functions,real-world engineering problems,and through statistical analysis(Wilcoxon test).The results demonstrate that RSSO significantly outperforms other optimization algorithms,achieving faster convergence and better solutions.The paper details the RSSO algorithm,discusses its implementation,and presents comparative results that validate its effectiveness in solving complex engineering design challenges.展开更多
Objective:To examine the effect of the methanolic extract of Salacia fruticosa in a zebrafish model of scopolamine-induced Alzheimer’s disease.Methods:High-resolution liquid chromatography-mass spectrometry was used ...Objective:To examine the effect of the methanolic extract of Salacia fruticosa in a zebrafish model of scopolamine-induced Alzheimer’s disease.Methods:High-resolution liquid chromatography-mass spectrometry was used to characterize the phytochemical constituents of Salacia fruticosa methanolic extract.The drug-likeness of these compounds was determined via the DruLiTo tool,and their acetylcholinesterase(AChE)binding affinities were studied by molecular docking.In in vivo studies,adult zebrafish were treated with 3.125,6.25,and 12.5 mg/L of the extract for seven days and then immersed in scopolamine(100μM/L)to induce cognitive deficits.T-maze and novel object recognition tests were used for behavioral studies.In addition,the activities of AChE,antioxidant enzymes,and myeloperoxidase were determined in brain tissue of zebrafish.Results:High-resolution liquid chromatography-mass spectrometry revealed that 40 phytoconstituents were present in the methanolic extract of Salacia fruticosa,and 27 compounds met Lipinski's rule of five,indicating good drug-likeness.Some compounds such as stylopine,p-coumaroylagmatine,and(-)-heliannuol E,demonstrated high AChE binding affinity.Moreover,pretreatment with the extract significantly mitigated zebrafish cognitive decline,as indicated by increased time spent at the novel object in novel object recognition test,as well as increased time spent and decreased latency in the green arm(P<0.001).The extract also markedly lowered malondialdehyde and myeloperoxidase levels and AChE activity,and enhanced glutathione peroxidase and superoxide dismutase activities(P<0.001)in zebrafish with scopolamine-induced Alzheimer’s disease.Histopathological studies revealed that Salacia fruticosa extract ameliorated scopolamine-induced abnormalities in neuronal cell morphology.Conclusions:Pretreatment with the methanolic extract of Salacia fruticosa reduces cognitive impairment,enhances antioxidants,and attenuates oxidative stress,highlighting its potential as a preventive agent for Alzheimer’s disease.展开更多
As the demands for environmental sustainability and the requirements to lower carbon emissions have escalated,New Energy Vehicles(NEVs)have emerged as a compelling substitute for fossil-fuel-run automobiles.Hence,a sm...As the demands for environmental sustainability and the requirements to lower carbon emissions have escalated,New Energy Vehicles(NEVs)have emerged as a compelling substitute for fossil-fuel-run automobiles.Hence,a smart energy management strategy has been developed to enhance the performance of NEVs,maximizing the sustainability of transportation systems and minimizing environmental impacts.The system combines different power reserves,includ-ing a photovoltaic(PV)generator,fuel cell(FC),and battery system,to provide a continuous energy supply,even when the vehicle is running.The Multi-Directional Power Transfer converter for the battery provides the required energy ad-aptation between the input and output.The FC and PV systems are all connected through a direct current/direct current converter to effectively charge the battery whenever excess energy is present.The new energy management technique called Optimized Ant Colony Algorithm is proposed to dynamically allocate power among the different power sources,improving system efficiency.Unlike traditional methods,the suggested approach actively optimizes energy flow accord-ing to actual demand and availability,minimizing energy losses and enhancing sustainability.The MATLAB/Simulink tool was used to simulate the energetic performance of an electric car utilizing the suggested approach.The performance of this multi-source power system is assessed by contrasting the energy the PV and FC generating devices offer,and the energy generation of each recharge system.Additionally,the battery power comparison validates the cost-effectiveness and sustainability of the proposed model in NEVs.Results designate a significant improvement in energy efficiency and overall NEV environmental sustainability within contemporary transportation networks.展开更多
Inspired by molecular catalysts,researchers developed atomically precise nitrogen-coordinated single or dual metal sites imbedded in graphitized carbon(M-N-C)to fully utilize metallic sites for 02activation.These cata...Inspired by molecular catalysts,researchers developed atomically precise nitrogen-coordinated single or dual metal sites imbedded in graphitized carbon(M-N-C)to fully utilize metallic sites for 02activation.These catalysts performed remarkably well in the electrocatalytic oxygen reduction reaction(ORR)due to their distinct coordination and electrical structures,Nonetheless,their maximum efficacy in practical applications has yet to be achieved.This agenda identifies tailoring the coordination environment,spin states,intersite distance,and metal-metal interaction as innovative approaches to regulate the ORR performance of these catalysts.However,it is necessary to undertake a precise assessment of these methodologies and the knowledge obtained to be implemented in the design of future M-N-C catalysts for ORR.Therefore,this review aims to analyze recent progress in M-N-C ORR catalysts,emphasizing their innovative engineering with aspects such as alteration in intersite distance,metal-metal interaction,coordination environment,and spin states.Additionally,we critically discuss how to logically monitor the atomic structure,local coordination,spin,and electronic states of M-N-C catalysts to modulate their ORR activity.We have also highlighted the challenges associated with M-N-C catalysts and proposed suggestions for their future design and fabrication.展开更多
The Tourism Industry plays a critical role in economic growth on the international scene but is equally responsible for contributing to greenhouse gas emissions and energy demand.The research analyzed the global trend...The Tourism Industry plays a critical role in economic growth on the international scene but is equally responsible for contributing to greenhouse gas emissions and energy demand.The research analyzed the global trends of energy consumption(EC)within this industry concerning environmental performance,limits,and prospects of sustained expan-sion.It includes 300 tourism-related businesses across different global economic regions.Key tourism factors include EC,greenhouse gas emissions,renewable energy(RE)use,tourism’s Gross Domestic Product(GDP)contribution,and energy efficiency.Statistical methods such as regression and panel data analysis assess the impact of tourism GDP,carbon emissions and RE.The regression analysis,including linear regression and panel data regression,to assess the influence of factors such as tourism GDP,carbon emissions,RE share,and energy efficiency improvements,providing a data-driven approach to understanding EC in tourism.The findings reveal regional differences,with developed regions consuming more energy per capita,while developing markets show progress in energy-efficient practices.The findings of the linear regression analysis show tourism GDP contribution(β=4,200).The outcomes of the panel data regression analysis show the t-statistic values of carbon emissions(t=5.64).The Difference-in-Differences analysis indicates that tourist GDP is greater in developed regions(β=4,100)compared to developing regions(β=3,500).Carbon emissions(β=4,800)are greater,although RE(β=4,200)and energy efficiency(β=2,500)increase more in developing nations.The research emphasizes expanding use of RE in tourism infrastructure,especially in ecotourism and green hotels.展开更多
The physico-chemical analysis of agricultural soil revealed a textured sandy loam at the surface(0–15 cm),with low organic carbon content(0.42%)and moderate levels of nitrogen(157 kg/ha),phosphorus(15.5 kg/ha),and po...The physico-chemical analysis of agricultural soil revealed a textured sandy loam at the surface(0–15 cm),with low organic carbon content(0.42%)and moderate levels of nitrogen(157 kg/ha),phosphorus(15.5 kg/ha),and potassium(112.6 kg/ha),under neutral pH conditions(pH 7.4).The chickpea variety PG-186 was used to evaluate the impact of nutrient treatments on plant performance and agroecological outcomes.Experimental findings demonstrated a significant influence of various treatments on the growth,yield,and economic returns of chickpea cultivation.The treatment comprising 100%Recommended Dose of Fertilizers(RDF)along with foliar application of 0.6%ZnSO_(4) and 0.9%FeSO_(4) at pre-flowering and pod development stages(T8)resulted in the maximum plant height(15.5 cm,33.7 cm,45.0 cm),dry matter accumulation(27.5 g,245.2 g,1006.7 g/m^(2)),and number of branches per plant(3.47,5.00,and 8.63)at 45,75,and 105 Days After Sowing(DAS),respectively.This treatment also resulted in the highest grain yield(21.00 q/ha)and stover yield(38.67 q/ha),along with a maximum net return of₹95,392/ha and a benefit-to-cost ratio of 2.32.From an ecological standpoint,this study highlights the vital role of balanced and targeted nutrient management in enhancing agroecosystem productivity while maintaining ecological balance.The integration of micronutrient foliar sprays not only boosts nutrient uptake efficiency and plant health but also reduces dependency on excessive chemical fertilizers,thereby mitigating potential negative impacts on soil ecology.Overall,the findings underscore the ecological importance of optimizing nutrient inputs in legume-based cropping systems to foster sustainable agricultural practices that align with ecological resilience,soil health preservation,and environmental stewardship.展开更多
Background:Neurodegenerative diseases(NDs),including Alzheimer‘s disease,Parkinson‘s disease,and Huntington‘s disease,are complex and challenging due to their intricate pathophysiology and limited treatment options...Background:Neurodegenerative diseases(NDs),including Alzheimer‘s disease,Parkinson‘s disease,and Huntington‘s disease,are complex and challenging due to their intricate pathophysiology and limited treatment options.Methods:This review systematically sourced articles related to neurodegenerative diseases,neurodegeneration,quercetin,and clinical studies from primary medical databases,including Scopus,PubMed,and Web of Science.Results:Recent studies have included quercetin to impact the cellular and molecular pathways involved in neurodegeneration.Quercetin,a flavonoid abundant in vegetables and fruits,is gaining attention for its antioxidant,anti-inflammatory,and antiapoptotic properties.It regulates signaling pathways such as nuclear factor-κB(NF-κB),sirtuins,and phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt).These pathways are essential for cellular survival,inflammation regulation,and apoptosis.Preclinical and clinical studies have shown that quercetin improves symptoms and pathology in neurodegenerative models,indicating promising outcomes.Conclusions:The study explores the potential of incorporating laboratory research into practical medical treatment,focusing on quercetin‘s neuroprotective effects on NDs and its optimal dosage.展开更多
The integration of the Internet of Things(IoT)into healthcare systems improves patient care,boosts operational efficiency,and contributes to cost-effective healthcare delivery.However,overcoming several associated cha...The integration of the Internet of Things(IoT)into healthcare systems improves patient care,boosts operational efficiency,and contributes to cost-effective healthcare delivery.However,overcoming several associated challenges,such as data security,interoperability,and ethical concerns,is crucial to realizing the full potential of IoT in healthcare.Real-time anomaly detection plays a key role in protecting patient data and maintaining device integrity amidst the additional security risks posed by interconnected systems.In this context,this paper presents a novelmethod for healthcare data privacy analysis.The technique is based on the identification of anomalies in cloud-based Internet of Things(IoT)networks,and it is optimized using explainable artificial intelligence.For anomaly detection,the Radial Boltzmann Gaussian Temporal Fuzzy Network(RBGTFN)is used in the process of doing information privacy analysis for healthcare data.Remora Colony SwarmOptimization is then used to carry out the optimization of the network.The performance of the model in identifying anomalies across a variety of healthcare data is evaluated by an experimental study.This evaluation suggested that themodel measures the accuracy,precision,latency,Quality of Service(QoS),and scalability of themodel.A remarkable 95%precision,93%latency,89%quality of service,98%detection accuracy,and 96%scalability were obtained by the suggested model,as shown by the subsequent findings.展开更多
Pinocembrin(PB)(5,7-dihydroxy flavanone)is a naturally occurring flavonoid sourced from propolis and Pinus spp.,with the formula C15H12O4 and moderate lipophilicity(log P approximately 2.1-2.5),which underlies both it...Pinocembrin(PB)(5,7-dihydroxy flavanone)is a naturally occurring flavonoid sourced from propolis and Pinus spp.,with the formula C15H12O4 and moderate lipophilicity(log P approximately 2.1-2.5),which underlies both its bioactivity and formulation challenges.In rodents,oral administration yields rapid absorption but extensive firstpass glucuronidation and sulfation,resulting in conjugates that dominate plasma,limit bioavailability(<10%)and confer a short half-life.In vitro,PB induces intrinsic mitochondrial apoptosis,downregulating Bcl-2,upregulating Bax,promoting cytochrome C release,and activating caspases-9/caspases-3 while inhibiting phosphoinositol-3 kinase/protein kinase B and STAT3 signaling,arresting cell-cycle progression,and suppressing metastatic markers(matrix metalloproteinase-9,vascular endothelial growth factor)across several cancer cell lines.Corresponding in vivo xenograft and orthotopic models demonstrate significant tumor growth inhibition,decreased Ki-67 indices,and increased cleaved caspase-3 without overt toxicity.To address solubility and clearance,MPEG-PDLLA micelles increased oral bioavailability by 5.3-fold and extended the half-life from 1.2 hours to 2.6 hours,while D-α-tocopheryl polyethylene glycol 1000 succinate liposomes achieved a 1.9-fold bioavailability increase and prolonged the half-life to 14.2 hours,indicating substantial pharmacokinetic(PK)enhancement and sustained systemic exposure in rodents.Toxicology studies report a no-observed-adverse-effect level≥500 mg/kg in rats with no mutagenicity,and phase I trials(0.5-10 mg/kg)confirm human tolerability.Key gaps remain in target validation,long-term toxicity,and prodrug development.This review is novel in its integration of pharmacology,formulation advances,safety assessments,and translational considerations for PB.To our knowledge,it is the first to systematically compare multiple nanocarrier systems in terms of their ability to improve oral bioavailability and PK parameters of PB.展开更多
Biomaterial research has been going on for several years,and many companies are heavily investing in new product development.However,it is a contentious field of science.Biomaterial science is a field that combines ma...Biomaterial research has been going on for several years,and many companies are heavily investing in new product development.However,it is a contentious field of science.Biomaterial science is a field that combines materials science and medicine.The replacement or restoration of damaged tissues or organs enhances the patient’s quality of life.The deciding aspect is whether or not the body will accept a biomaterial.A biomaterial used for an implant must possess certain qualities to survive a long time.When a biomaterial is used for an implant,it must have specific properties to be long-lasting.A variety of materials are used in biomedical applications.They are widely used today and can be used individually or in combination.This review will aid researchers in the selection and assessment of biomaterials.Before using a biomaterial,its mechanical and physical properties should be considered.Recent biomaterials have a structure that closely resembles that of tissue.Antiinfective biomaterials and surfaces are being developed using advanced antifouling,bactericidal,and antibiofilm technologies.This review tries to cover critical features of biomaterials needed for tissue engineering,such as bioactivity,self-assembly,structural hierarchy,applications,heart valves,skin repair,bio-design,essential ideas in biomaterials,bioactive biomaterials,bioresorbable biomaterials,biomaterials in medical practice,biomedical function for design,biomaterial properties such as biocompatibility,heat response,non-toxicity,mechanical properties,physical properties,wear,and corrosion,as well as biomaterial properties such surfaces that are antibacterial,nanostructured materials,and biofilm disrupting compounds,are all being investigated.It is technically possible to stop the spread of implant infection.展开更多
A precise understanding of the redox chemistry of Nm-Mn+(like N4-Fe^(2+))systems is essential for fundamental studies and rational design of Nm-Mn+-based electrocatalysts for the oxygen reduction reaction(ORR).Herein,...A precise understanding of the redox chemistry of Nm-Mn+(like N4-Fe^(2+))systems is essential for fundamental studies and rational design of Nm-Mn+-based electrocatalysts for the oxygen reduction reaction(ORR).Herein,three different iron phthalocyanines(FePcs)adsorbed on carbon nanotubes((NH2)4FePc@CNTs,(t-Bu)4FePc@CNTs,and FePc@CNTs)were evaluated to demonstrate the effect of the electron donating power of the substituents on the Fe^(3+)/Fe^(2+)redox potential of FePc@CNTs and the role of these composites as ORR mediators in alkaline media.The Fe^(3+)/Fe^(2+)redox potential of the FePcs was found to shift towards the cathodic region upon substitution with electron-donating groups.This up-field shift in the eg-orbital leads to a lower overlap between the onset potential of the Fe^(3+)/Fe^(2+)redox couple and that of the ORR,and thus,the ORR activity decreased in the following order based on the substitution of FePc:-H>-t-Bu>-NH2.展开更多
Hypertension is a critical health problem and worse other cardiovascular diseases.It is mainly of two types:Primary or essential hypertension and Secondary hypertension.Hypertension is the primary possibility feature ...Hypertension is a critical health problem and worse other cardiovascular diseases.It is mainly of two types:Primary or essential hypertension and Secondary hypertension.Hypertension is the primary possibility feature for coronary heart disease,stroke and renal vascular disease.Herbal medicines have been used for millions of years for the management and treatment of hypertension with minimum side effects.Over aim to write this review is to collect information on the anti-hypertensive effects of natural herbs in animal studies and human involvement as well as to recapitulate the underlying mechanisms,from the bottom of cell culture and ex-vivo tissue data.According to WHO,natural herbs/shrubs are widely used in increasing order to treat almost all the ailments of the human body.Plants are the regular industrial units for the invention of chemical constituents,they used as immunity booster to enhance the natural capacity of the body to fight against different health prob-lems as well as herbal medicines and food products also.Eighty percent population of the world(around 5.6 billion people)consume medicines from natural plants for major health concerns.This review provides a bird’s eye analysis primarily on the traditional utilization,phytochemical constituents and pharmacological values of medicinal herbs used to normalize hypertension i.e.Hibiscus sabdariffa,Allium sativum,Andrographis paniculata,Apium graveolens,Bidenspilosa,Camel-lia sinensis,Coptis chinensis,Coriandrum sativum,Crataegus spp.,Crocus sativus,Cymbopogon citrates,Nigella sativa,Panax ginseng,Salviaemiltiorrhizae,Zingiber officinale,Tribulus terrestris,Rauwolfiaserpentina,Terminalia arjuna etc.展开更多
The synthesis of visual information from multiple medical imaging inputs to a single fused image without any loss of detail and distortion is known as multimodal medical image fusion.It improves the quality of biomedi...The synthesis of visual information from multiple medical imaging inputs to a single fused image without any loss of detail and distortion is known as multimodal medical image fusion.It improves the quality of biomedical images by preserving detailed features to advance the clinical utility of medical imaging meant for the analysis and treatment of medical disor-ders.This study develops a novel approach to fuse multimodal medical images utilizing anisotropic diffusion(AD)and non-subsampled contourlet transform(NSCT).First,the method employs anisotropic diffusion for decomposing input images to their base and detail layers to coarsely split two features of input images such as structural and textural information.The detail and base layers are further combined utilizing a sum-based fusion rule which maximizes noise filtering contrast level by effectively preserving most of the structural and textural details.NSCT is utilized to further decompose these images into their low and high-frequency coefficients.These coefficients are then combined utilizing the principal component analysis/Karhunen-Loeve(PCA/KL)based fusion rule independently by substantiating eigenfeature reinforcement in the fusion results.An NSCT-based multiresolution analysis is performed on the combined salient feature information and the contrast-enhanced fusion coefficients.Finally,an inverse NSCT is applied to each coef-ficient to produce the final fusion result.Experimental results demonstrate an advantage of the proposed technique using a publicly accessible dataset and conducted comparative studies on three pairs of medical images from different modalities and health.Our approach offers better visual and robust performance with better objective measurements for research development since it excellently preserves significant salient features and precision without producing abnormal information in the case of qualitative and quantitative analysis.展开更多
文摘The increasing incidence of neurodegenerative diseases(NDs)and the constraints of existing treatment methods have spurred a keen interest in investigating alternative therapies.Medicinal plants,renowned for their long-standing use in traditional medicine,offer a hopeful avenue for discovering new neuroprotective agents.This study emphasizes the potential neuroprotective characteristics of edible fruit plants in Bangladesh,specifically focusing on their traditional folk medicine uses for neurological disorders.This study provides an in-depth overview of the different types of edible fruit trees in Bangladesh and their phytochemicals,including flavonoids,terpenoids,and phenolic acids.This work examines the scientific data supporting the neuroprotective properties of bioactive chemicals from plants.It further explores the mechanisms by which these compounds work to counteract oxidative stress,decrease inflammation,and stimulate neurogenesis.Moreover,the study investigates toxicological characteristics and bioactive components of some fruits,emphasizing the importance of further investigation to measure their safety profile comprehensively.This thorough study highlights the potential benefits of Bangladesh's edible fruit trees as a rich source of neuroprotective chemicals.It also shows that additional research might lead to novel approaches for improving brain functioning and preventing NDs.
文摘Glaucoma,an irreversible optic neuropathy,primarily affects retinal ganglion cells(RGC)and causes vision loss and blindness.The damage to RGCs in glaucoma occurs by various mechanisms,including elevated intraocular pressure,oxidative stress,inflammation,and other neurodegenerative processes.As the disease progresses,the loss of RGCs leads to vision loss.Therefore,protecting RGCs from damage and promoting their survival are important goals in managing glaucoma.In this regard,resveratrol(RES),a polyphenolic phytoalexin,exerts antioxidant effects and slows down the evolution and progression of glaucoma.The present review shows that RES plays a protective role in RGCs in cases of ischemic injury and hypoxia as well as in ErbB2 protein expression in the retina.Additionally,RES plays protective roles in RGCs by promoting cell growth,reducing apoptosis,and decreasing oxidative stress in H_(2)O_(2)-exposed RGCs.RES was also found to inhibit oxidative stress damage in RGCs and suppress the activation of mitogen-activated protein kinase signaling pathways.RES could alleviate retinal function impairment by suppressing the hypoxia-i nducible factor-1 alpha/vascular endothelial growth factor and p38/p53 axes while stimulating the PI3K/Akt pathway.Therefore,RES might exert potential therapeutic effects for managing glaucoma by protecting RGCs from damage and promoting their survival.
文摘Brazil’s deforestation monitoring integrates accuracy and current monitoring for land use and land cover applications.Regular monitoring of deforestation and non-deforestation requires Sentinel-2 multispectral satellite images of several bands at various frequencies,the mix of high-and low-resolution images that make object classification difficult because of the mixed pixel problem.Accuracy is impacted by the mixed pixel problem,which occurs when pixels belong to different classes and makes detection challenging.To identify mixed pixels,Band Math is used to merge numerous bands to generate a new band NDVI.Thresholding is used to analyze the edges of deforested and non-deforested areas.Segmentation is then used to analyze the pixels which helps to identify the number of mixed pixels to compute the deforested and non-deforested areas.Segmented image pixels are used to categorize the deforestation of the Brazilian Amazon Forest between 2019 and 2023.Verify how many pixels are mixed to improve accuracy and identify mixed pixel issues;compare the mixed and pure pixels of fuzzy clustering with the subtracted morphological image pixels.With the help of segmentation and clustering researchers effectively validate mixed pixels in a specific area.The proposed methodology is easy to analyze and helpful for an appropriate calculation of deforested and non-deforested areas.
文摘Deforestation is the purpose of converting forest into land and reforestation compared to deforestation is very low.That’s why closely and accurately deforestation monitoring using Sentinel-1 and Sentinel-2 satellite images for better vision is required.This paper proposes an effective image fusion technique that combines S-1/2 data to improve the deforested areas.Based on review,Optical and SAR image fusion produces high-resolution images for better de-forestation monitoring.To enhance the S-1/2 images,preprocessing is needed as per requirements and then,collocation between the two different types of images to mitigate the image registration problem,and after that,apply an image fu-sion machine learning approach,PCA-Wavelet.As per analysis,PCA helps to maintain spatial resolution,and Wavelet helps to preserve spectral resolution,gives better-fused images compared to other techniques.As per results,2019 S-2 pre-22 processed collocated image enhances 42.2508 km deforested area,S-1 preprocessed collocated image enhances 23.7918 km^(2) deforested area,and after fusion of the 2019 S-1/2 images,it enhances 16.5335 km deforested area.Similarly,the 20232 S-2 preprocessed collocated image enhances 49.2216 km deforested area,S-1 preprocessed collocated image enhances 2223.8459 km deforested area after fusion of the 2023 S-1/2 images,enhancing 35.9185 km deforested area.These im-provements show that combining data sources gives a clearer and more reliable picture of forest loss over time.The overall paper objective is to apply effective techniques for image fusion of Brazil’s Amazon Forest and analyze the difference between collocated image pixels and fused image pixels for accurate analysis of deforested area.
文摘Vitex negundo(V.negundo),an Indian herb with a rich historical background for the handling of various complaints,is a member of the Verbenaceae family and is characterized by small trees with pale gray bark.This herb is widely used and has been recognized in traditional medicine for its pharmacological effects on a wide range of diseases.All sections of the plant,but particularly the leaves,contain a variety of secondary metabolites,including alkaloids,phenols,flavonoids,glycoside iridoids,tannins,and terpenes.The system is included in a number of store-bought herbal preparations and has the potential to function as an efficient bio-committee.Cancer continues to be a major cause of death and morbidity in spite of the intervention.One of the leading causes of death is cancer,and current therapies can have unpleasant side effects.Unhindered reactions,resistance to traditional cancer medications,radiation therapy,chemotherapy,and restricted access to tumor tissue are some of the reasons why treatment frequently fails.To reduce side effects,increase chemotherapy sensitivity,and slow the spread of cancer,new approaches are required.Small food molecules have been suggested in numerous research as supplemental therapies for cancer patients.The effectiveness of the flavonoid-rich V.negundo extract in treating cancer was assessed mechanically in this investigation.Total flavonoids have been isolated for qualitative phytochemical investigation using V.negundo ethanolic extract.This article highlights significant developments in this field and explores how flavonoids contribute to the targeted suppression of the phosphoinositide 3-kinase-protein kinase B-mammalian target of rapamycin pathway in different cancer types.
文摘Image tampering detection and localization have emerged as a critical domain in combating the pervasive issue of image manipulation due to the advancement of the large-scale availability of sophisticated image editing tools.The manual forgery localization is often reliant on forensic expertise.In recent times,machine learning(ML)and deep learning(DL)have shown promising results in automating image forgery localization.However,the ML-based method relies on hand-crafted features.Conversely,the DL method automatically extracts shallow spatial features to enhance the accuracy.However,DL-based methods lack the global co-relation of the features due to this performance degradation noticed in several applications.In the proposed study,we designed FLTNet(forgery localization transformer network)with a CNN(convolution neural network)encoder and transformer-based attention.The encoder extracts local high-dimensional features,and the transformer provides the global co-relation of the features.In the decoder,we have exclusively utilized a CNN to upsample the features that generate tampered mask images.Moreover,we evaluated visual and quantitative performance on three standard datasets and comparison with six state-of-the-art methods.The IoU values of the proposed method on CASIA V1,CASIA V2,and CoMoFoD datasets are 0.77,0.82,and 0.84,respectively.In addition,the F1-scores of these three datasets are 0.80,0.84,and 0.86,respectively.Furthermore,the visual results of the proposed method are clean and contain rich information,which can be used for real-time forgery detection.The code used in the study can be accessed through URL:https://github.com/ajit2k5/Forgery-Localization(accessed on 21 January 2025).
文摘In the burgeoning field of anomaly detection within attributed networks,traditional methodologies often encounter the intricacies of network complexity,particularly in capturing nonlinearity and sparsity.This study introduces an innovative approach that synergizes the strengths of graph convolutional networks with advanced deep residual learning and a unique residual-based attention mechanism,thereby creating a more nuanced and efficient method for anomaly detection in complex networks.The heart of our model lies in the integration of graph convolutional networks that capture complex structural relationships within the network data.This is further bolstered by deep residual learning,which is employed to model intricate nonlinear connections directly from input data.A pivotal innovation in our approach is the incorporation of a residual-based attention mech-anism.This mechanism dynamically adjusts the importance of nodes based on their residual information,thereby significantly enhancing the sensitivity of the model to subtle anomalies.Furthermore,we introduce a novel hypersphere mapping technique in the latent space to distinctly separate normal and anomalous data.This mapping is the key to our model’s ability to pinpoint anomalies with greater precision.An extensive experimental setup was used to validate the efficacy of the proposed model.Using attributed social network datasets,we demonstrate that our model not only competes with but also surpasses existing state-of-the-art methods in anomaly detection.The results show the exceptional capability of our model to handle the multifaceted nature of real-world networks.
文摘This paper introduces a novel optimization approach called Recuperated Seed Search Optimization(RSSO),designed to address challenges in solving mechanical engineering design problems.Many optimization techniques struggle with slow convergence and suboptimal solutions due to complex,nonlinear natures.The Sperm Swarm Optimization(SSO)algorithm,which mimics the sperm’s movement to reach an egg,is one such technique.To improve SSO,researchers combined it with three strategies:opposition-based learning(OBL),Cauchy mutation(CM),and position clamping.OBL introduces diversity to SSO by exploring opposite solutions,speeding up convergence.CM enhances both exploration and exploitation capabilities throughout the optimization process.This combined approach,RSSO,has been rigorously tested on standard benchmark functions,real-world engineering problems,and through statistical analysis(Wilcoxon test).The results demonstrate that RSSO significantly outperforms other optimization algorithms,achieving faster convergence and better solutions.The paper details the RSSO algorithm,discusses its implementation,and presents comparative results that validate its effectiveness in solving complex engineering design challenges.
基金funded by King Saud University,Riyadh,Saudi Arabia,Project Number(RSPD2025R709).
文摘Objective:To examine the effect of the methanolic extract of Salacia fruticosa in a zebrafish model of scopolamine-induced Alzheimer’s disease.Methods:High-resolution liquid chromatography-mass spectrometry was used to characterize the phytochemical constituents of Salacia fruticosa methanolic extract.The drug-likeness of these compounds was determined via the DruLiTo tool,and their acetylcholinesterase(AChE)binding affinities were studied by molecular docking.In in vivo studies,adult zebrafish were treated with 3.125,6.25,and 12.5 mg/L of the extract for seven days and then immersed in scopolamine(100μM/L)to induce cognitive deficits.T-maze and novel object recognition tests were used for behavioral studies.In addition,the activities of AChE,antioxidant enzymes,and myeloperoxidase were determined in brain tissue of zebrafish.Results:High-resolution liquid chromatography-mass spectrometry revealed that 40 phytoconstituents were present in the methanolic extract of Salacia fruticosa,and 27 compounds met Lipinski's rule of five,indicating good drug-likeness.Some compounds such as stylopine,p-coumaroylagmatine,and(-)-heliannuol E,demonstrated high AChE binding affinity.Moreover,pretreatment with the extract significantly mitigated zebrafish cognitive decline,as indicated by increased time spent at the novel object in novel object recognition test,as well as increased time spent and decreased latency in the green arm(P<0.001).The extract also markedly lowered malondialdehyde and myeloperoxidase levels and AChE activity,and enhanced glutathione peroxidase and superoxide dismutase activities(P<0.001)in zebrafish with scopolamine-induced Alzheimer’s disease.Histopathological studies revealed that Salacia fruticosa extract ameliorated scopolamine-induced abnormalities in neuronal cell morphology.Conclusions:Pretreatment with the methanolic extract of Salacia fruticosa reduces cognitive impairment,enhances antioxidants,and attenuates oxidative stress,highlighting its potential as a preventive agent for Alzheimer’s disease.
文摘As the demands for environmental sustainability and the requirements to lower carbon emissions have escalated,New Energy Vehicles(NEVs)have emerged as a compelling substitute for fossil-fuel-run automobiles.Hence,a smart energy management strategy has been developed to enhance the performance of NEVs,maximizing the sustainability of transportation systems and minimizing environmental impacts.The system combines different power reserves,includ-ing a photovoltaic(PV)generator,fuel cell(FC),and battery system,to provide a continuous energy supply,even when the vehicle is running.The Multi-Directional Power Transfer converter for the battery provides the required energy ad-aptation between the input and output.The FC and PV systems are all connected through a direct current/direct current converter to effectively charge the battery whenever excess energy is present.The new energy management technique called Optimized Ant Colony Algorithm is proposed to dynamically allocate power among the different power sources,improving system efficiency.Unlike traditional methods,the suggested approach actively optimizes energy flow accord-ing to actual demand and availability,minimizing energy losses and enhancing sustainability.The MATLAB/Simulink tool was used to simulate the energetic performance of an electric car utilizing the suggested approach.The performance of this multi-source power system is assessed by contrasting the energy the PV and FC generating devices offer,and the energy generation of each recharge system.Additionally,the battery power comparison validates the cost-effectiveness and sustainability of the proposed model in NEVs.Results designate a significant improvement in energy efficiency and overall NEV environmental sustainability within contemporary transportation networks.
基金supported by the Research Fund for International Scientists(RFIS-Grant numbers:52150410410)National Natural Science Foundation of Chinathe Deanship of Scientific Research and Graduate Studies at King Khalid University for funding this research work through Large Research Project under the grant number RGP2/121/1445.
文摘Inspired by molecular catalysts,researchers developed atomically precise nitrogen-coordinated single or dual metal sites imbedded in graphitized carbon(M-N-C)to fully utilize metallic sites for 02activation.These catalysts performed remarkably well in the electrocatalytic oxygen reduction reaction(ORR)due to their distinct coordination and electrical structures,Nonetheless,their maximum efficacy in practical applications has yet to be achieved.This agenda identifies tailoring the coordination environment,spin states,intersite distance,and metal-metal interaction as innovative approaches to regulate the ORR performance of these catalysts.However,it is necessary to undertake a precise assessment of these methodologies and the knowledge obtained to be implemented in the design of future M-N-C catalysts for ORR.Therefore,this review aims to analyze recent progress in M-N-C ORR catalysts,emphasizing their innovative engineering with aspects such as alteration in intersite distance,metal-metal interaction,coordination environment,and spin states.Additionally,we critically discuss how to logically monitor the atomic structure,local coordination,spin,and electronic states of M-N-C catalysts to modulate their ORR activity.We have also highlighted the challenges associated with M-N-C catalysts and proposed suggestions for their future design and fabrication.
文摘The Tourism Industry plays a critical role in economic growth on the international scene but is equally responsible for contributing to greenhouse gas emissions and energy demand.The research analyzed the global trends of energy consumption(EC)within this industry concerning environmental performance,limits,and prospects of sustained expan-sion.It includes 300 tourism-related businesses across different global economic regions.Key tourism factors include EC,greenhouse gas emissions,renewable energy(RE)use,tourism’s Gross Domestic Product(GDP)contribution,and energy efficiency.Statistical methods such as regression and panel data analysis assess the impact of tourism GDP,carbon emissions and RE.The regression analysis,including linear regression and panel data regression,to assess the influence of factors such as tourism GDP,carbon emissions,RE share,and energy efficiency improvements,providing a data-driven approach to understanding EC in tourism.The findings reveal regional differences,with developed regions consuming more energy per capita,while developing markets show progress in energy-efficient practices.The findings of the linear regression analysis show tourism GDP contribution(β=4,200).The outcomes of the panel data regression analysis show the t-statistic values of carbon emissions(t=5.64).The Difference-in-Differences analysis indicates that tourist GDP is greater in developed regions(β=4,100)compared to developing regions(β=3,500).Carbon emissions(β=4,800)are greater,although RE(β=4,200)and energy efficiency(β=2,500)increase more in developing nations.The research emphasizes expanding use of RE in tourism infrastructure,especially in ecotourism and green hotels.
文摘The physico-chemical analysis of agricultural soil revealed a textured sandy loam at the surface(0–15 cm),with low organic carbon content(0.42%)and moderate levels of nitrogen(157 kg/ha),phosphorus(15.5 kg/ha),and potassium(112.6 kg/ha),under neutral pH conditions(pH 7.4).The chickpea variety PG-186 was used to evaluate the impact of nutrient treatments on plant performance and agroecological outcomes.Experimental findings demonstrated a significant influence of various treatments on the growth,yield,and economic returns of chickpea cultivation.The treatment comprising 100%Recommended Dose of Fertilizers(RDF)along with foliar application of 0.6%ZnSO_(4) and 0.9%FeSO_(4) at pre-flowering and pod development stages(T8)resulted in the maximum plant height(15.5 cm,33.7 cm,45.0 cm),dry matter accumulation(27.5 g,245.2 g,1006.7 g/m^(2)),and number of branches per plant(3.47,5.00,and 8.63)at 45,75,and 105 Days After Sowing(DAS),respectively.This treatment also resulted in the highest grain yield(21.00 q/ha)and stover yield(38.67 q/ha),along with a maximum net return of₹95,392/ha and a benefit-to-cost ratio of 2.32.From an ecological standpoint,this study highlights the vital role of balanced and targeted nutrient management in enhancing agroecosystem productivity while maintaining ecological balance.The integration of micronutrient foliar sprays not only boosts nutrient uptake efficiency and plant health but also reduces dependency on excessive chemical fertilizers,thereby mitigating potential negative impacts on soil ecology.Overall,the findings underscore the ecological importance of optimizing nutrient inputs in legume-based cropping systems to foster sustainable agricultural practices that align with ecological resilience,soil health preservation,and environmental stewardship.
基金financially supporting this work through the Large Research Group Project under grant number R.G.P.2/510/45。
文摘Background:Neurodegenerative diseases(NDs),including Alzheimer‘s disease,Parkinson‘s disease,and Huntington‘s disease,are complex and challenging due to their intricate pathophysiology and limited treatment options.Methods:This review systematically sourced articles related to neurodegenerative diseases,neurodegeneration,quercetin,and clinical studies from primary medical databases,including Scopus,PubMed,and Web of Science.Results:Recent studies have included quercetin to impact the cellular and molecular pathways involved in neurodegeneration.Quercetin,a flavonoid abundant in vegetables and fruits,is gaining attention for its antioxidant,anti-inflammatory,and antiapoptotic properties.It regulates signaling pathways such as nuclear factor-κB(NF-κB),sirtuins,and phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt).These pathways are essential for cellular survival,inflammation regulation,and apoptosis.Preclinical and clinical studies have shown that quercetin improves symptoms and pathology in neurodegenerative models,indicating promising outcomes.Conclusions:The study explores the potential of incorporating laboratory research into practical medical treatment,focusing on quercetin‘s neuroprotective effects on NDs and its optimal dosage.
基金funded by Deanship of Scientific Research(DSR)at King Abdulaziz University,Jeddah under grant No.(RG-6-611-43)the authors,therefore,acknowledge with thanks DSR technical and financial support.
文摘The integration of the Internet of Things(IoT)into healthcare systems improves patient care,boosts operational efficiency,and contributes to cost-effective healthcare delivery.However,overcoming several associated challenges,such as data security,interoperability,and ethical concerns,is crucial to realizing the full potential of IoT in healthcare.Real-time anomaly detection plays a key role in protecting patient data and maintaining device integrity amidst the additional security risks posed by interconnected systems.In this context,this paper presents a novelmethod for healthcare data privacy analysis.The technique is based on the identification of anomalies in cloud-based Internet of Things(IoT)networks,and it is optimized using explainable artificial intelligence.For anomaly detection,the Radial Boltzmann Gaussian Temporal Fuzzy Network(RBGTFN)is used in the process of doing information privacy analysis for healthcare data.Remora Colony SwarmOptimization is then used to carry out the optimization of the network.The performance of the model in identifying anomalies across a variety of healthcare data is evaluated by an experimental study.This evaluation suggested that themodel measures the accuracy,precision,latency,Quality of Service(QoS),and scalability of themodel.A remarkable 95%precision,93%latency,89%quality of service,98%detection accuracy,and 96%scalability were obtained by the suggested model,as shown by the subsequent findings.
文摘Pinocembrin(PB)(5,7-dihydroxy flavanone)is a naturally occurring flavonoid sourced from propolis and Pinus spp.,with the formula C15H12O4 and moderate lipophilicity(log P approximately 2.1-2.5),which underlies both its bioactivity and formulation challenges.In rodents,oral administration yields rapid absorption but extensive firstpass glucuronidation and sulfation,resulting in conjugates that dominate plasma,limit bioavailability(<10%)and confer a short half-life.In vitro,PB induces intrinsic mitochondrial apoptosis,downregulating Bcl-2,upregulating Bax,promoting cytochrome C release,and activating caspases-9/caspases-3 while inhibiting phosphoinositol-3 kinase/protein kinase B and STAT3 signaling,arresting cell-cycle progression,and suppressing metastatic markers(matrix metalloproteinase-9,vascular endothelial growth factor)across several cancer cell lines.Corresponding in vivo xenograft and orthotopic models demonstrate significant tumor growth inhibition,decreased Ki-67 indices,and increased cleaved caspase-3 without overt toxicity.To address solubility and clearance,MPEG-PDLLA micelles increased oral bioavailability by 5.3-fold and extended the half-life from 1.2 hours to 2.6 hours,while D-α-tocopheryl polyethylene glycol 1000 succinate liposomes achieved a 1.9-fold bioavailability increase and prolonged the half-life to 14.2 hours,indicating substantial pharmacokinetic(PK)enhancement and sustained systemic exposure in rodents.Toxicology studies report a no-observed-adverse-effect level≥500 mg/kg in rats with no mutagenicity,and phase I trials(0.5-10 mg/kg)confirm human tolerability.Key gaps remain in target validation,long-term toxicity,and prodrug development.This review is novel in its integration of pharmacology,formulation advances,safety assessments,and translational considerations for PB.To our knowledge,it is the first to systematically compare multiple nanocarrier systems in terms of their ability to improve oral bioavailability and PK parameters of PB.
文摘Biomaterial research has been going on for several years,and many companies are heavily investing in new product development.However,it is a contentious field of science.Biomaterial science is a field that combines materials science and medicine.The replacement or restoration of damaged tissues or organs enhances the patient’s quality of life.The deciding aspect is whether or not the body will accept a biomaterial.A biomaterial used for an implant must possess certain qualities to survive a long time.When a biomaterial is used for an implant,it must have specific properties to be long-lasting.A variety of materials are used in biomedical applications.They are widely used today and can be used individually or in combination.This review will aid researchers in the selection and assessment of biomaterials.Before using a biomaterial,its mechanical and physical properties should be considered.Recent biomaterials have a structure that closely resembles that of tissue.Antiinfective biomaterials and surfaces are being developed using advanced antifouling,bactericidal,and antibiofilm technologies.This review tries to cover critical features of biomaterials needed for tissue engineering,such as bioactivity,self-assembly,structural hierarchy,applications,heart valves,skin repair,bio-design,essential ideas in biomaterials,bioactive biomaterials,bioresorbable biomaterials,biomaterials in medical practice,biomedical function for design,biomaterial properties such as biocompatibility,heat response,non-toxicity,mechanical properties,physical properties,wear,and corrosion,as well as biomaterial properties such surfaces that are antibacterial,nanostructured materials,and biofilm disrupting compounds,are all being investigated.It is technically possible to stop the spread of implant infection.
文摘A precise understanding of the redox chemistry of Nm-Mn+(like N4-Fe^(2+))systems is essential for fundamental studies and rational design of Nm-Mn+-based electrocatalysts for the oxygen reduction reaction(ORR).Herein,three different iron phthalocyanines(FePcs)adsorbed on carbon nanotubes((NH2)4FePc@CNTs,(t-Bu)4FePc@CNTs,and FePc@CNTs)were evaluated to demonstrate the effect of the electron donating power of the substituents on the Fe^(3+)/Fe^(2+)redox potential of FePc@CNTs and the role of these composites as ORR mediators in alkaline media.The Fe^(3+)/Fe^(2+)redox potential of the FePcs was found to shift towards the cathodic region upon substitution with electron-donating groups.This up-field shift in the eg-orbital leads to a lower overlap between the onset potential of the Fe^(3+)/Fe^(2+)redox couple and that of the ORR,and thus,the ORR activity decreased in the following order based on the substitution of FePc:-H>-t-Bu>-NH2.
文摘Hypertension is a critical health problem and worse other cardiovascular diseases.It is mainly of two types:Primary or essential hypertension and Secondary hypertension.Hypertension is the primary possibility feature for coronary heart disease,stroke and renal vascular disease.Herbal medicines have been used for millions of years for the management and treatment of hypertension with minimum side effects.Over aim to write this review is to collect information on the anti-hypertensive effects of natural herbs in animal studies and human involvement as well as to recapitulate the underlying mechanisms,from the bottom of cell culture and ex-vivo tissue data.According to WHO,natural herbs/shrubs are widely used in increasing order to treat almost all the ailments of the human body.Plants are the regular industrial units for the invention of chemical constituents,they used as immunity booster to enhance the natural capacity of the body to fight against different health prob-lems as well as herbal medicines and food products also.Eighty percent population of the world(around 5.6 billion people)consume medicines from natural plants for major health concerns.This review provides a bird’s eye analysis primarily on the traditional utilization,phytochemical constituents and pharmacological values of medicinal herbs used to normalize hypertension i.e.Hibiscus sabdariffa,Allium sativum,Andrographis paniculata,Apium graveolens,Bidenspilosa,Camel-lia sinensis,Coptis chinensis,Coriandrum sativum,Crataegus spp.,Crocus sativus,Cymbopogon citrates,Nigella sativa,Panax ginseng,Salviaemiltiorrhizae,Zingiber officinale,Tribulus terrestris,Rauwolfiaserpentina,Terminalia arjuna etc.
文摘The synthesis of visual information from multiple medical imaging inputs to a single fused image without any loss of detail and distortion is known as multimodal medical image fusion.It improves the quality of biomedical images by preserving detailed features to advance the clinical utility of medical imaging meant for the analysis and treatment of medical disor-ders.This study develops a novel approach to fuse multimodal medical images utilizing anisotropic diffusion(AD)and non-subsampled contourlet transform(NSCT).First,the method employs anisotropic diffusion for decomposing input images to their base and detail layers to coarsely split two features of input images such as structural and textural information.The detail and base layers are further combined utilizing a sum-based fusion rule which maximizes noise filtering contrast level by effectively preserving most of the structural and textural details.NSCT is utilized to further decompose these images into their low and high-frequency coefficients.These coefficients are then combined utilizing the principal component analysis/Karhunen-Loeve(PCA/KL)based fusion rule independently by substantiating eigenfeature reinforcement in the fusion results.An NSCT-based multiresolution analysis is performed on the combined salient feature information and the contrast-enhanced fusion coefficients.Finally,an inverse NSCT is applied to each coef-ficient to produce the final fusion result.Experimental results demonstrate an advantage of the proposed technique using a publicly accessible dataset and conducted comparative studies on three pairs of medical images from different modalities and health.Our approach offers better visual and robust performance with better objective measurements for research development since it excellently preserves significant salient features and precision without producing abnormal information in the case of qualitative and quantitative analysis.
