Dual Additives for Stabilizing Li Deposition and SEI Formation in Anode-Free Li-Metal Batteries

Anode-free Li-metal batteries are of significant interest to energy storage industries due to their intrinsically high energy.However,the accumulative Li dendrites and dead Li continuously consume active Li during cycling.That results in a short lifetime and low Coulombic efficiency of anode-free Li-metal batteries.Introducing effective electrolyte additives can improve the Li deposition homogeneity and solid electrolyte interphase(SEI)stability for anode-free Li-metal batteries.Herein,we reveal that introducing dual additives,composed of LiAsF6 and fluoroethylene carbonate,into a low-cost commercial carbonate electrolyte will boost the cycle life and average Coulombic efficiency of NMC‖Cu anode-free Li-metal batteries.The NMC‖Cu anode-free Li-metal batteries with the dual additives exhibit a capacity retention of about 75%after 50 cycles,much higher than those with bare electrolytes(35%).The average Coulombic efficiency of the NMC‖Cu anode-free Li-metal batteries with additives can maintain 98.3%over 100 cycles.In contrast,the average Coulombic efficiency without additives rapidly decline to 97%after only 50 cycles.In situ Raman measurements reveal that the prepared dual additives facilitate denser and smoother Li morphology during Li deposition.The dual additives significantly suppress the Li dendrite growth,enabling stable SEI formation on anode and cathode surfaces.Our results provide a broad view of developing low-cost and high-effective functional electrolytes for high-energy and long-life anode-free Li-metal batteries.

New insights on the role of chondroitin sulfate proteoglycans in neural stem cell–mediated repair in spinal cord injury

Extensive neurodegeneration is a hallmark of traumatic spinal cord injury (SCI) that underlies permanent sensorimotor and autonomic impairments (Alizadeh et al.,2019).Following the primary impact,the spinal cord undergoes a cascade of secondary injury mechanisms that are driven by disruption of the blood-spinal cord ba rrier,vascula r inju ry,glial reactivity,neu roinfla mmation,oxidative stress,lipid peroxidation,and glutamate excitotoxicity that culminate in neuronal and oligodendroglial cell death,demyelination,and axonal damage(Alizadeh et al.,2019).To achieve a meaningful functional recovery after SCI,regeneration of new neurons and oligodendrocytes and their successful growth and integration within the neural network are critical steps for reconstructing the damaged spinal cord tissue (Fischer et al.,2020).

Non-anatomical liver resection for hepatocellular carcinoma:the SegSubTe classification to overcome the problem of heterogeneity

Background:The superiority of anatomical resection(AR)vs.non-anatomical resection(NAR)in the surgical management of hepatocellular carcinoma(HCC)is debated.ARs are well-defined procedures,whereas the lack of NAR standardization results in heterogeneous outcomes.This study aimed to introduce the SegSubTe classification for NAR detailing the appropriateness of the level of surgical section of the Glissonean pedicles feeding the tumor.Methods:A single-center retrospective analysis of pre-and postoperative imaging of consecutive patients treated with NAR for single HCC between 2012 and 2020 was conducted.The quality of surgery was assessed classifying the type of vascular supply and the level of surgical section(segmental,subsegmental or terminal next to the tumor)of vascular pedicles feeding the HCCs;then,the population was divided in“SegSubTe-IN”or“SegSubTe-OUT”groups,and the tumor recurrence and survival were analyzed.Results:Ninety-seven patients who underwent NAR were included;76%were SegSubTe-IN and 24%were SegSubTe-OUT.Total disease recurrence,local recurrence and cut-edge recurrence in the SegSubTe-IN vs.SegSubTe-OUT groups were 50%vs.83%(P=0.006),20%vs.52%(P=0.003)and 16%vs.39%(P=0.020),respectively.SegSubTe-OUT odds ratio for local recurrence was 4.1 at univariate regression analysis.One-,three-,and five-year disease-free survival rates in the SegSubTe-IN vs.SegSubTe-OUT groups were 81%,58%and 35%vs.46%,21%and 11%,respectively(P<0.001).Conclusions:The SegSubTe classification is a useful tool to stratify and standardize NAR for HCC,aiming at improving long-term oncological outcomes and reducing the heterogeneity of quality of NAR for HCC.

Brain age estimation:premise,promise,and problems

Premise:The com bined effects of modern healthcare practices which prolong lifespan and declining birthrates have created unprecedented changes in age demographics worldwide that are especially pronounced in Japan,South Korea,Europe,and North America.Since old age is the most significant predictor of dementia,global healthcare systems must rise to the challenge of providing care for those with neurodegenerative disorders.

Enhanced Hoek-Brown(H-B)criterion for rocks exposed to chemical corrosion

Underground constructions often encounter water environments,where water–rock interaction can increase porosity,thereby weakening engineering rocks.Correspondingly,the failure criterion for chemically corroded rocks becomes essential in the stability analysis and design of such structures.This study enhances the applicability of the Hoek-Brown(H-B)criterion for engineering structures operating in chemically corrosive conditions by introducing a kinetic porosity-dependent instantaneous mi(KPIM).A multiscale experimental investigation,including nuclear magnetic resonance(NMR),X-ray diffraction(XRD),scanning electron microscopy(SEM),pH and ion chromatography analysis,and triaxial compression tests,is employed to quantify pore structural changes and their linkage with the strength responses of limestone under coupled chemical-mechanical(C-M)conditions.By employing ion chromatography and NMR analysis,along with incorporating the principles of free-face dissolution theory accounting for both congruent and incongruent dissolution,a kinetic chemical corrosion model is developed.This model aims to calculate the kinetic porosity alterations within rocks exposed to varying H+concentrations and durations.Subsequently,utilizing the generalized mixture rule(GMR),the kinetic porositydependent mi is formulated.Evaluation of the KPIM-enhanced H-B criterion using compression test data from 5 types of rocks demonstrated a high level of consistency between the criterion and the experimental results,with a coefficient of determination greater than 0.96,a mean absolute percentage error less than 4.84%,and a root-mean-square deviation less than 5.95 MPa.Finally,the physical significance of the porosity-dependent instantaneous mi is clarified:it serves as an indicator of a rock’s capacity to leverage the confining pressure effect.

IDS-INT:Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

A network intrusion detection system is critical for cyber security against llegitimate attacks.In terms of feature perspectives,network traffic may include a variety of elements such as attack reference,attack type,a subcategory of attack,host information,malicious scripts,etc.In terms of network perspectives,network traffic may contain an imbalanced number of harmful attacks when compared to normal traffic.It is challenging to identify a specific attack due to complex features and data imbalance issues.To address these issues,this paper proposes an Intrusion Detection System using transformer-based transfer learning for Imbalanced Network Traffic(IDS-INT).IDS-INT uses transformer-based transfer learning to learn feature interactions in both network feature representation and imbalanced data.First,detailed information about each type of attack is gathered from network interaction descriptions,which include network nodes,attack type,reference,host information,etc.Second,the transformer-based transfer learning approach is developed to learn detailed feature representation using their semantic anchors.Third,the Synthetic Minority Oversampling Technique(SMOTE)is implemented to balance abnormal traffic and detect minority attacks.Fourth,the Convolution Neural Network(CNN)model is designed to extract deep features from the balanced network traffic.Finally,the hybrid approach of the CNN-Long Short-Term Memory(CNN-LSTM)model is developed to detect different types of attacks from the deep features.Detailed experiments are conducted to test the proposed approach using three standard datasets,i.e.,UNsWNB15,CIC-IDS2017,and NSL-KDD.An explainable AI approach is implemented to interpret the proposed method and develop a trustable model.

Supportive care in transplantation: A patient-centered care model to better support kidney transplant candidates and recipients

Kidney transplantation(KT),although the best treatment option for eligible patients,entails maintaining and adhering to a life-long treatment regimen of medications,lifestyle changes,self-care,and appointments.Many patients experience uncertain outcome trajectories increasing their vulnerability and symptom burden and generating complex care needs.Even when transplants are successful,for some patients the adjustment to life post-transplant can be challenging and psychological difficulties,economic challenges and social isola-tion have been reported.About 50%of patients lose their transplant within 10 years and must return to dialysis or pursue another transplant or conservative care.This paper documents the complicated journey patients undertake before and after KT and outlines some initiatives aimed at improving patient-centered care in transplantation.A more cohesive approach to care that borrows its philosophical approach from the established field of supportive oncology may improve patient experiences and outcomes.We propose the"supportive care in transplantation"care model to operationalize a patient-centered approach in transplantation.This model can build on other ongoing initiatives of other scholars and researchers and can help advance patient-centered care through the entire care continuum of kidney transplant recipients and candidates.Multi-dimensionality,multi-disciplinarity and evidence-based approaches are proposed as other key tenets of this care model.We conclude by proposing the potential advantages of this approach to patients and healthcare systems.Core Tip:Kidney transplant recipients and candidates face several uncertainties in their care journey and have several expressed unmet healthcare needs.We recommend a structured and comprehensive approach to transplant care across the entire continuum of a transplant patient’s journey similar to what has been developed in the field of oncology.The supportive care in transplantation model can operationalize patient-centered care and build on the efforts of other researchers in the field.We postulate that such a model would significantly improve care delivery and patients’experiences and outcomes and potentially decrease healthcare utilization and cost.INTRODUCTION Patients with kidney failure benefit from(KT)[1,2],and experience improved survival rates when compared with dialysis[3-6].KT studies,using validated instruments,have also consistently demonstrated that kidney transplant recipients(KTRs)experience better health-related quality of life and several improvements in other disease-specific domains when compared with dialysis[7].In countries where dialysis is out of reach for many,the diagnosis of kidney failure would be futile without KT[8].Thus,increasing KT has been a priority for the nephrology and transplant communities.This priority has been reflected in recent global trends:Of the 79 countries where data were available,the International Society of Nephrology’s Global Kidney Atlas reported that the prevalence of KTRs in 2023 was 279 per million population which represented an increase of 9.4%from the data published four years prior[8].Despite this growth,KT can be a challenging journey for many patients and it is sometimes regarded as a‘cure’,which does not conform with the reality that many patients experience[9-13].KTRs must maintain a life-long treatment regimen of medications,lifestyle changes,self-care and medical appointments[14-17].As poignantly stated by a young female transplant recipient,“I thought everything would change once I got my kidney.I thought I would be healthy again”but after experiencing multiple side effects of immunosuppressive medications and graft loss,she stated,“I am just a different kind of patient now”[18].Indeed,a significant proportion of patients experience graft failure and return to dialysis;it is estimated that over 50%return to dialysis within 10 years of KT[19-23].Patients are often not prepared for this outcome and report several psychosocial and physical ramifications of graft failure[24,25].Overall,high symptom burden,adverse effects of immunosuppressants,risk of graft rejection or failure and mortality,contribute to complex needs,vulnerability and uncertainties for patients,increasing their care needs and treatment burden[26-30].In this paper,we highlight the complex journey that KTRs and candidates undertake that can generate varied outcome trajectories and complex healthcare needs.We highlight the need for a comprehensive patient-centered approach to care and conclude with a proposal for a“supportive care in transplantation”care model.

Modification of Nano-α-Al2O3 and Its Influence on the Surface Properties of Waterborne Polyurethane Resin Composite Passivation Films

Silane coupling agent KH560 was used to modify the surface of nano-α-Al2O3 in ethanol-aqueous solution with different proportions. The particle size of nano-α-Al2O3 was determined by nano-particle size analyzer, and the effects of nano-α-Al2O3 content, ethanol-aqueous solution ratio and KH560 dosage on the dispersion and particle size of nano-α-Al2O3 were investigated. The material structure before and after modification was determined by Fourier transform infrared spectroscopy (FTIR). Aqueous polyurethane resin and inorganic components are combined with modified nano-α-Al2O3 dispersion to form chromium-free passivation solution. The solution is coated on the galvanized sheet, the adhesion and surface hardness are tested, the bonding strength of the coating and the surface hardness of the substrate are discussed. The corrosion resistance and surface morphology of the matrix were investigated by electrochemical test, neutral salt spray test and scanning electron microscope test. The chromium-free passivation film formed after the modification of nano-α-Al2O3 increases the surface hardness of galvanized sheet by about 85%. The corrosion resistance of the film is better than that of a single polyurethane film. The results show that the surface hardness and corrosion resistance of polyurethane resin composite passivation film are significantly improved by the introduction of nano-α-Al2O3.

Artificial intelligence for characterization of diminutive colorectal polyps:A feasibility study comparing two computer-aided diagnosis systems

BACKGROUND Artificial intelligence(AI)has potential in the optical diagnosis of colorectal polyps.AIM To evaluate the feasibility of the real-time use of the computer-aided diagnosis system(CADx)AI for ColoRectal Polyps(AI4CRP)for the optical diagnosis of diminutive colorectal polyps and to compare the performance with CAD EYE^(TM)(Fujifilm,Tokyo,Japan).CADx influence on the optical diagnosis of an expert endoscopist was also investigated.METHODS AI4CRP was developed in-house and CAD EYE was proprietary software provided by Fujifilm.Both CADxsystems exploit convolutional neural networks.Colorectal polyps were characterized as benign or premalignant and histopathology was used as gold standard.AI4CRP provided an objective assessment of its characterization by presenting a calibrated confidence characterization value(range 0.0-1.0).A predefined cut-off value of 0.6 was set with values<0.6 indicating benign and values≥0.6 indicating premalignant colorectal polyps.Low confidence characterizations were defined as values 40%around the cut-off value of 0.6(<0.36 and>0.76).Self-critical AI4CRP’s diagnostic performances excluded low confidence characterizations.RESULTS AI4CRP use was feasible and performed on 30 patients with 51 colorectal polyps.Self-critical AI4CRP,excluding 14 low confidence characterizations[27.5%(14/51)],had a diagnostic accuracy of 89.2%,sensitivity of 89.7%,and specificity of 87.5%,which was higher compared to AI4CRP.CAD EYE had a 83.7%diagnostic accuracy,74.2%sensitivity,and 100.0%specificity.Diagnostic performances of the endoscopist alone(before AI)increased nonsignificantly after reviewing the CADx characterizations of both AI4CRP and CAD EYE(AI-assisted endoscopist).Diagnostic performances of the AI-assisted endoscopist were higher compared to both CADx-systems,except for specificity for which CAD EYE performed best.CONCLUSION Real-time use of AI4CRP was feasible.Objective confidence values provided by a CADx is novel and self-critical AI4CRP showed higher diagnostic performances compared to AI4CRP.

粮仓哲学--对储粮科技走向智慧化的哲学思考

关于科学技术影响认知变化的探索由来已久,分别形成科学哲学和技术哲学。我国储粮技术发展,经历了改革开放前的初探、改革开放后30年的现代化粮仓建设以及近10年数字化智能化开创等3个阶段。从以“四合一”储粮新技术为主构建现代化粮仓,到以信息技术形成世界上最大的粮食物联网、原创粮堆多场耦合及生物场理论、以粮情云图扫描技术实现储备粮动态监管等,中国储粮的科技进步有目共睹。新时期面临百年未有大变局、中国第二个百年奋斗目标对粮食安全的新要求以及第四次工业革命带来的冲击,粮食科技智慧化的趋势越来越显著。从我国近40多年储粮实践科技成果积累,结合团队对粮堆多场耦合和生物场理论、储备粮云图动态监管、粮食围收储自然区块链5T事联信息化管理以及粮食干燥智能EAT窗口测控方法等的研究,尝试在解构储粮系统三元微结构的基础上,以“一分为二、二分为三、三生变化”为基本思想,以机理、数据等联合驱动为智慧化策略,引入粮仓哲学,以提升对已有科技成果的认知高度、指导新时期储粮科技智慧化的探索,为构建高质量的智慧粮食体系提供支撑。粮仓哲学是对储粮实践情景的深度思考,源于储粮实践,但不限于储粮实践,具有一定的普适性。

具有精确结构的苯并三氮唑类聚合物受体在全聚合物太阳电池中的应用

以苯并三氮唑(BTz)为稠合中心核单元,通过调控聚合位点设计合成了两个结构精确的聚合物受体PT1-γ和PT1-δ,并研究了聚合位点对聚合物受体的光学性能、电化学性能、载流子迁移率以及全聚合物太阳电池(all-PSCs)性能的影响.研究发现,与PT1-δ相比,PT1-γ具有更窄的光学带隙和更高的电子迁移率.选用PBDB-T作为给体,基于PBDB-T∶PT1-γ的全聚合物太阳电池获得了11.92%的能量转换效率(PCE),高于PBDB-T∶PT1-δ体系的9.68%;另外,其开路电压(VOC)为0.89 V,短路电流密度(JSC)为21.25 mA/cm2,填充因子(FF)为0.63.研究结果表明,聚合位点对基于苯并三氮唑的聚合物受体的光电性能具有显著影响,因而调控单体的聚合位点是开发高性能聚合物受体的有效设计策略.

Cre-recombinase systems for induction of neuronspecific knockout models:a guide for biomedical researchers

Gene deletion has been a valuable tool for unraveling the mysteries of molecular biology.Early approaches included gene trapping and gene targetting to disrupt or delete a gene randomly or at a specific location,respectively.Using these technologies in mouse embryos led to the generation of mouse knocko ut models and many scientific discoveries.The efficacy and specificity of these approaches have significantly increased with the advent of new technology such as cluste red regula rly inters paced short palindromic repeats for targetted gene deletion.However,several limitations including unwanted off-target gene deletion have hindered their widespread use in the field.Crerecombinase technology has provided additional capacity for cell-specific gene deletion.In this review,we provide a summary of currently available literature on the application of this system for targetted deletion of neuronal genes.This article has been constructed to provide some background info rmation for the new trainees on the mechanism and to provide necessary information for the design,and application of the Cre-recombinase system thro ugh reviewing the most f requent promoters that are currently available for genetic manipulation of neuro ns.We additionally will provide a summary of the latest technological developments that can be used for targeting neurons.This may also serve as a general guide for the selection of appropriate models for biomedical research.

Effect of cooked rice with added fructo-oligosaccharide on faecal microorganisms investigated by in vitro digestion and fermentation

In the present study,the effects of cooked rice(CR)with added fructo-oligosaccharide(FOS)on faecal flora were studied by a simulated in vitro digestion and fermentation method.The total carbohydrate content,p H,and s hort-chain fatty acids(SCFAs)were determined during in vitro digestion and fermentation.The change in the bacterial phase distribution after the fermentation was also analysed.The results showed that t he total carbohydrate content of the CR with added FOS(FCR)significantly decreased during the simulated digestion.Meanwhile,the p H of the FCR decreased and the SCFAs concentration increased significantly compared to those of the CR during the simulated fermentation.In addition,the FCR showed the advantage of promoting beneficial bacteria,such as Bifidobacterium and Lactobacillus,and inhibiting harmful bacteria,such as Bacteroides and Klebsiella compared to the CR.Therefore,the FOS as a prebiotic could be recommended to produce the high-quality healthy rice food.

低碳政策下考虑行程时间不确定性的机场地面通达方式选择

在航空客运量快速增长的背景下,为了更有效地引导出行者选择低碳环保的机场地面通达方式,以西安咸阳国际机场为例,研究了低碳消费券补贴和居民环保意识对机场地面通达方式选择偏好的影响,并探讨了行程时间不确定性对于居民是否选择绿色出行方式的影响。考虑到交通环境的复杂性,设计了一个考虑行程时间不确定性的陈述性选择偏好实验来调查前往机场的出行者。基于收集的数据,通过构建混合累积前景理论-多项Logit(Cumulative Prospect Theory-Multinomial Logit,CPTMNL)模型,研究了不同场景下出行者的选择偏好。模型标定结果表明,一方面,行李数量、行程时间不确定性、出行费用、提前到达机场的时间偏好是机场地面通达方式选择的重要影响因素;另一方面,碳减排比例和消费券补贴均对低碳出行方式产生显著影响。由此可以看出,在当前推广绿色出行的背景下,出行者对碳减排的重视程度逐渐增强,在出行时会有意识地选择低碳出行方式。低碳消费券补贴能够进一步促进出行者放弃私人交通方式转而选择公共交通。因此,交通管理者在倡导使用公共交通时,可以考虑强调环保概念、提供政策补贴等措施。针对行程时间延误对出行方式选择的显著影响,着力于提高公共交通运行的可靠性可以缩短行程时间延误差值,更有助于调整交通结构偏向低碳的公共交通。通过不断强化低碳出行理念,营造低碳社会氛围,提高公共交通出行便利度和可靠性,关注居民低碳出行选择特征并实施低碳激励策略,能够更好地引导出行者更多地使用绿色出行方式。

Reevaluating the cause of laminopathy in Alzheimer’s disease

Alzheimer’s disease (AD) is the most common form of dementia and is diagnosed clinically by cognitive deficits,and anatomically by accumulation of extracellular amyloid plaques and intracellular neurofib rilla ry ta ngles (NFT) containing hyperphosphorylated Tau.Over the past three decades of AD resea rch,the"a myloid hypothesis"gained the most attention as the main player inneurodegeneration.

Emerging role of neuregulin-1beta1 in pathogenesis and progression of multiple sclerosis

Multiple sclerosis(MS)is a chronic immune-mediated disorder of the central nervous system(CNS)that causes focal demyelinating lesions,followed by axonal and neuronal degeneration.Several genetic and environmental factors are found to be associated with MS incidence.While MS etiology seems to be multifactorial and needs further elucidation,it is understood that the response of an immune system to specific myelin antigens triggers the onset of MS(Dendrou et al.,2015).However,how the autoimmune response initiates against myelin,and the cellular and molecular mechanisms underpinning the development and progression of MS are not fully understood.Thus,deconstructing MS pathogenesis is of paramount importance for identifying novel diagnostic and therapeutic targets for this complex disease.

基于RANSE模型CFD预测E779A型螺旋桨空化及其在通用船体后的水动力性能

Ship propulsion performance heavily depends on cavitation,increasing the recent interest in this field to lower ship emissions.Academic research on the effects of cavitation is generally based on the open-water propeller performance but the interactions of the cavitating propeller with the ship hull significantly affect the propulsion performance of the ship.In this study,we first investigate the INSEAN E779A propeller by a RANSE-based CFD in open-water conditions.The numerical implementation and the selected grid after sensitivity analysis partially succeeded in modeling the cavitating flow around the propeller.Satisfactory agreement was observed compared to experimental measurements.Then,using the open-water data as input,the propeller’s performance behind a full-scale ship was calculated under self-propulsion conditions.Despite being an undesired incident,we found a rare condition in which cavitation enhances propulsion efficiency.Atσ=1.5;the propeller rotation rate was lower,while the thrust and torque coefficients were higher.

Endoscopic techniques for gastric neuroendocrine tumors:An update

Gastric neuroendocrine neoplasms(gNENs)are a rare type of gastric neoplasm,even if their frequency is increasing according to the latest epidemiologic revisions of the main registries worldwide.They are divided into three main subtypes,with different pathogeneses,biological behaviors,and clinical characteristics.GNEN heterogeneity poses challenges,therefore these neoplasms require different management strategies.Update the knowledge on the endoscopic treatment options to manage g-NENs.This manuscript is a narrative review of the literature.In recent years,many advances have been made not only in the knowledge of both the pathogenesis and the molecular profiling of gNENs but also in the endoscopic expertise towards innovative treatment options,which proved to be less aggressive without losing the capa-bility of being radical.The endoscopic approach is increasingly applied in the field of gastrointestinal(GI)luminal neoplasms,and this is true not only for adenocarcinomas but also for gNENs.In particular,different techniques have been described for the endoscopic removal of suspected lesions,ranging from classical polypectomy(cold or hot snare)to endoscopic mucosal resection(both with“en bloc”or piecemeal technique),endoscopic submucosal dissection,and endoscopic full-thickness resection.GNENs comprise different subtypes of neoplasms with distinct management and prognosis.New endoscopic techniques offer a wide variety of approaches for GI localized neoplasms,which demonstrated to be appropriate and effective also in the case of gNENs.Correct evaluation of size,site,morphology,and clinical context allows the choice of tailored therapy in order to guarantee a definitive treatment.

Electron beam pumping improves the conversion efficiency of low-frequency photons radiated by perovskite quantum dots

This research argues that using an electron beam with high kinetic energy to pump perovskite quantum dots can significantly boost the efficiency of the low-frequency photon radiation conversion.Firstly,we measure the random lasing threshold and luminescence threshold of CsPbX_(3)films pumped by an electron beam.Then,we simulate the spatial distribution of the electron beams in CsPbX_(3)films.Combined with the above data,a low-frequency photon radiation conversion model based on the electron pumped perovskite quantum dots is presented.This could be a way to create a terahertz source with a high-power output or to multiply the terahertz power.

Wind Turbine Optimal Preventive Maintenance Scheduling Using Fibonacci Search and Genetic Algorithm

Maintenance scheduling is essential and crucial for wind turbines (WTs) to avoid breakdowns andreduce maintenance costs. Many maintenance models have been developed for WTs’ maintenance planning, suchas corrective, preventive, and predictive maintenance. Due to communities’ dependence on WTs for electricityneeds, preventive maintenance is the most widely used method for maintenance scheduling. The downside tousing this approach is that preventive maintenance (PM) is often done in fixed intervals, which is inefficient. In thispaper, a more detailed maintenance plan for a 2 MW WT has been developed. The paper’s focus is to minimize aWT’s maintenance cost based on a WT’s reliability model. This study uses a two-layer optimization framework:Fibonacci and genetic algorithm. The first layer in the optimization method (Fibonacci) finds the optimal numberof PM required for the system. In the second layer, the optimal times for preventative maintenance and optimalcomponents to maintain have been determined to minimize maintenance costs. The Monte Carlo simulationestimates WT component failure times using their lifetime distributions from the reliability model. The estimatedfailure times are then used to determine the overall corrective and PM costs during the system’s lifetime. Finally,an optimal PM schedule is proposed for a 2 MW WT using the presented method. The method used in this papercan be expanded to a wind farm or similar engineering systems.