Mendelian randomization analysis of causal relationship between cheese intake and diabetic retinopathy

AIM:To assess whether there is a possible causal link between the intake of cheese and the risk of diabetic retinopathy(DR)utilizing a two-sample Mendelian randomization(MR)analysis.METHODS:The research data were obtained from summary statistics of genome-wide association studies(GWAS).Genetic loci closely related to cheese intake were extracted as instrumental variables(IVs),and DR was the outcome variable.The data were extracted from individuals of European ethnicity.The data of cheese intake consisted of 451486 samples with 9851867 single nucleotide polymorphisms(SNPs),while the DR data consisted of 206234 samples with 16380446 SNPs.Sixty-one genetic loci closely related to cheese intake were selected as IVs.MR analysis was performed by inverse-variance weighted(IVW)method and MR-Egger regression respectively.The causal relationship between cheese intake and DR was evaluated using odds ratios(ORs)and 95%confidence intervals(CIs).Egger-intercept test was used to test horizontal pleiotropy and sensitivity analysis was performed by leave-one-out test.RESULTS:The P value of the IVW method was less than 0.05,indicating a significant negative correlation between cheese intake and DR.MR-Egger regression showed that the intercept was 0.01 with a standard error of 0.022,and a P-value of 0.634,indicating no evidence of horizontal pleiotropy affecting the IVs related to the exposure factors.Besides,heterogeneity tests confirmed the absence of heterogeneity,and the“leave-one-out”sensitivity analysis demonstrated that the results were stable.CONCLUSION:Cheese intake is causally negatively correlated with the occurrence of DR,and cheese intake could reduce the risk of DR.

THE RANDOM ANALYSIS OF APRON SLAB MISSING STABILITY UNDER WATER JET LASHING

The jet flow with high water head happens very often in hydraulic engineering. In this paper, starting from the viewpoint of random hydraulics, the experimental research work on the problem of percussion action of the jet flow related to the apron slab.Stochastic theory and random time series are employed to analyse the sample function x(t) ,its x(t) and x(t) and their corelations μ on M. The working process of the apron during the variation of flow discharge has been observed and the machanism of failure of apron slab is discussed. The lift force due to the action of jet flow is analysed and the conditions of improving the safety factors of apron slab are presented.

Random Time Dependent Resistance Analysis on Reinforced Concrete Structures

The analysis method on random time dependence of reinforced concrete material is introduced,the effect mechanism on reinforced concrete are discussed,and the random time dependence resistance of reinforced concrete is studied.Furthermore,the corrosion of steel bar in reinforced concrete structures is analyzed.A practical statistical method of evaluating the random time dependent resistance,which includes material,structural size and calculation influence,is also established.In addition,an example of predicting random time dependent resistance of reinforced concrete structural element is given.

Feature Fusion Multi-View Hashing Based on Random Kernel Canonical Correlation Analysis

Hashing technology has the advantages of reducing data storage and improving the efficiency of the learning system,making it more and more widely used in image retrieval.Multi-view data describes image information more comprehensively than traditional methods using a single-view.How to use hashing to combine multi-view data for image retrieval is still a challenge.In this paper,a multi-view fusion hashing method based on RKCCA(Random Kernel Canonical Correlation Analysis)is proposed.In order to describe image content more accurately,we use deep learning dense convolutional network feature DenseNet to construct multi-view by combining GIST feature or BoW_SIFT(Bag-of-Words model+SIFT feature)feature.This algorithm uses RKCCA method to fuse multi-view features to construct association features and apply them to image retrieval.The algorithm generates binary hash code with minimal distortion error by designing quantization regularization terms.A large number of experiments on benchmark datasets show that this method is superior to other multi-view hashing methods.

Diabetes mellitus and prostate cancer risk:A mendelian randomization analysis

BACKGROUND Some studies have directed towards an association between diabetes mellitus(DM)and prostate cancer(PCa);however,this specific relationship remains inconclusive.In recent years,Mendelian randomization(MR)has become a widely used analytical method for inferring epidemiological causes.AIM To investigated the potential relationship between DM and PCa using MR.METHODS We downloaded relevant data on"diabetes"and"PCa"from the IEU OpenGWAS project database,performed three different methods to conduct MR,and carried out sensitivity analysis for verification.RESULTS The results indicated that DM was an independent risk factor for PCa.The odds ratio(OR)values obtained using the inverse variance weighted method in this study were as follows:OR=1.018(95%confidence interval:1.004-1.032),P=0.014.CONCLUSION We found that DM could increase the incidence rate of PCa.

Modifiable factors mediating the effects of educational attainment on gestational diabetes mellitus: A two-step Mendelian randomization study

BACKGROUND Although there is currently a wealth of evidence to indicate that maternal educational attainment is associated with gestational diabetes mellitus(GDM),the specific modifiable risk factors that mediate the causal relationship between these two variables have yet to be identified.AIM To identify the specific modifiable risk factors that mediate the causal relationship between the level of maternal education and GDM.METHODS Mendelian randomization(MR)was conducted using data from genome-wide association studies of European populations.We initially performed a two-sample MR analysis using data on genetic variants associated with the duration of education as instruments,and subsequently adopted a two-step MR approach using metabolic and lifestyle factors as mediators to examine the mechanisms underlying the relationship between the level of maternal education and risk of developing GDM.In addition,we calculated the proportions of total causal effects mediated by identified metabolic and lifestyle factors.RESULTS A genetically predicted higher educational attainment was found to be associated with a lower risk of developing GDM(OR:0.71,95%CI:0.60-0.84).Among the metabolic factors assessed,four emerged as potential mediators of the education-GDM association,which,ranked by mediated proportions,were as follows:Waist-to-hip-ratio(31.56%,95%CI:12.38%-50.70%),body mass index(19.20%,95%CI:12.03%-26.42%),high-density lipoprotein cholesterol(12.81%,95%CI:8.65%-17.05%),and apolipoprotein A-1(7.70%,95%CI:4.32%-11.05%).These findings proved to be robust to sensitivity analyses.CONCLUSION Our findings indicate a causal relationship between lower levels of maternal education and the risk of developing GDM can be partly explained by adverse metabolic profiles.

Causal relationship between feelings and cognitive decline:An univariable and multivariable Mendelian randomization study

BACKGROUND While the impact of depression on cognition is well-documented,the relationship between feelings and cognition has received limited attention.AIM To explore the potential association between feelings and cognition with a twosample Mendelian randomization(MR)analysis.METHODS Our analysis utilized genome-wide association data on various feelings(fed-up feelings,n=453071;worrier/anxious feelings,n=450765;guilty feelings,n=45-0704;nervous feelings,n=450700;sensitivity/hurt feelings,n=449419;miserableness,n=454982;loneliness/isolation,n=455364;happiness,n=152348)in the European population and their impact on cognitive functions(intelligence,n=269867).Conducting a univariable MR(UVMR)analysis to assess the relationship between feelings and cognition.In this analysis,we applied the inverse variance weighting(IVW),weighted median,and MR Egger methods.Additionally,we performed sensitivity analysis(leave-one-out analysis),assessed heterogeneity(using MR-PRESSO and Cochran’s Q test),and conducted multiple validity test(employing MR-Egger regression).Subsequently,a multivariable MR(MVMR)analysis was employed to examine the impact of feelings on cognition.IVW served as the primary method in the multivariable analysis,complemented by median-based and MR-Egger methods.RESULTS In this study,UVMR indicated that sensitivity/hurt feelings may have a negative causal effect on cognition(OR=0.63,95%CI:0.43-0.92,P=0.017).After adjustment of other feelings using MVMR,a direct adverse causal effect on cognition was observed(OR_(MVMR)=0.39,95%CI:0.17-0.90,P_(MVMR)=0.027).While a potential increased risk of cognitive decline was observed for fed-up feelings in the UVMR analysis(ORUVMR=0.64,95%CI:0.42-0.97,PUVMR=0.037),this effect disappeared after adjusting for other feelings(OR_(MVMR)=1.42,95%CI:0.43-4.74,P_(MVMR)=0.569).These findings were generally consistent across MV-IVW,median-based,and MR-Egger analyses.MR-Egger regression revealed pleiotropy in the impact of worrier/anxious feelings on cognition,presenting a challenge in identifying the effect.Notably,this study did not demonstrate any significant impact of guilty feelings,nervous feelings,miserableness,or loneliness/isolation on cognition.Due to a limited number of instrumental variables for happiness,this study was unable to analyze the relationship between happiness and cognition.CONCLUSION This MR study finds that sensitivity/hurt feelings are associated with cognitive decline,while the link between worrier/anxious feelings and cognition remains inconclusive.Insufficient evidence supports direct associations between happiness,guilty feelings,nervous feelings,miserableness,loneliness/isolation,and cognition.

Vibration analysis of large bulb tubular pump house under pressure pulsations

A 3D finite element model of the Huaiyin third pumping station of the Eastern Route of the South-to-North Water Transfer is described in this paper. Two methods were used in the calculation and vibration analysis of the pumping station in both the time domain and the frequency domain. The pressure pulsation field of the whole flow passage was structured on the basis of pressure pulsations recorded at some locations of the physical model test. Dynamic time-history analysis of the pump house under pressure pulsations was carried out. At the same time, according to spectrum characteristics of the pressure pulsations at measuring points and results of free vibration characteristics analysis of the pump house, the spectrum analysis method of random vibration was used to calculate dynamic responses of the pump house. Results from both methods are consistent, which indicates that they are both reasonable. The results can be used for reference in anti-vibration safety evaluation of the Huaiyin third pumping station.

Detection Performance Analysis of Spectrum Sensing in Cognitive Radio Networks with Mobile Secondary Users

The majority of existing papers about spectrum sensing have the assumption that secondary users(SUs) are stationary. However,mobility is an essential feature of mobile communications networks. In this paper,the detection performance of spectrum sensing by mobile SUs was analyzed. Three performance metrics,i.e.,detection probability,miss detection probability and false alarm probability,were thoroughly investigated. In our analysis,a critical variable was the real-time received primary user signal power by a mobile SU. Its probability distribution and mathematical expectation were analytically derived. Moreover,the three performance metrics in single-node spectrum sensing and multi-node collaborative spectrum sensing systems were also derived. Extensive simulations were performed. The results are consistent with the theoretical analysis. And it is concluded that SU mobility has a significant impact on the detection probability and the miss detection probability,but not on the false alarm probability.

RAPD analysis of natural populations of Acanthopanax brachypus

Random Amplified Polymorphic DNA (RAPD) analysis is a new technology of molecular marking which has proved very powerful in detecting genetic diversity at the level of population. The genomic DNAs used in our experiment were extracted from fresh leaves taken from 59 individuals sampled from three natural populations in Yan An, Shanxi Province. Through more than 2,000 PCRs, deep-going RAPD analysis was carried out on DNA samples from 49 inviduals. The percentage of polymorphic RAPD loci found in these three populations were respectively 27.2 %, 18.6 % and 5.4 %; the average genetic distances within population, 0.055, 0.036 and 0.008; the average genetic distances between populations (Ⅰ-Ⅱ), (Ⅰ-Ⅲ) and (Ⅱ-Ⅲ), 0.105, 0.096 and 0.060. The genetic diversity of A. brachypus within and between populations was found, for the first time, to be rather poor,thus revealing innate factors as the cause contributing to its endangered status. In addition, our work also provides basic materials for elucidating the underlying cause of its endangerment and for its protection biology.

Diversity Analysis in Selected Non-basmati Scented Rice Collection

Diversity analysis among 23 rice varieties including 16 non-basmati scented accessions, 5 basmati accessions and 2 non-scented accessions was performed by random amplified polymorphic DNA （RAPD） and inter-simple sequence repeat （ISSR） marker systems. The varieties analyzed by 11 RAPD and 8 ISSR primers yielded an average of 65% and 80% polymorphism, respectively. The average number of polymorphic bands generated per RAPD primer was 6 and per ISSR primer was 5.87. RAPD and ISSR data analysis individually could not segregate basmati and non-basmati scented rice accessions. However, the analysis using a combined data could group basmati and non-basmati scented rice accessions separately. The bands present specifically among three accessions of non-basmati scented rice were also identified. The study revealed a high genetic diversity among non-basmati scented rice accessions.

Update on the aetiopathogenesis of obstructive sleep apnea:Role of inflammatory and immune mediated mechanisms

Obstructive sleep apnea(OSA)is often a lifestyle disease associated with obesity,which is rapidly evolving as a major health concern with diverse multisystemic implications.To prevent and mitigate its adverse effects and reduce its burden on society,its aetiopathogeneses must be precisely understood.Numerous studies focusing on the range of diverse anatomic,functional,and lifestyle factors have already been carried out to determine the possible contributory roles of these factors in OSA.Recently,evidence to validate the role of inflammatory pathways and immune mechanisms in the aetiopathogeneses of OSA is being developed.This allows for further research and translation of such knowledge for targeted therapeutic and preventive interventions in patients with or who are at risk of developing OSA.

Combined Effects of Cadmium and Butachlor on Microbial Activities and Community DNA in a Paddy Soil

Due to frequent soil Cd contamination and wide use of butachlor in China,there is a need to assess their combined toxicity to soil microorganisms.The combined effects of cadmium(Cd,10 mg kg-1 soil) and herbicide butachlor(10,50,and 100 mg kg-1 soil) on enzyme activities and microbial community structure in a paddy soil were assessed using the traditional enzyme assays and random amplified polymorphic DNA(RAPD) analysis.The results showed that urease and phosphatase activities were significantly reduced by high butachlor concentration(100 mg kg-1 soil).When the concentrations of Cd and butachlor added were at a ratio of 1:10,urease and phosphatase activities were significantly decreased whereas enzyme activities were greatly improved at the ratio of 1:5,which indicated that the combined effects of Cd and butachlor on soil urease and phosphatase activities depended largely on their addition concentration ratios.Random amplified polymorphic DNA(RAPD) analysis showed loss of original bands and appearance of new bands when compared with the control soil.Random amplified polymorphic DNA fingerprints suggested substantial differences between the control and treated soil samples,with apparent changes in the number and size of amplified DNA fragments.The addition of high concentration butachlor and the combined impacts of Cd and butachlor significantly affected the diversity of the microbial community.RAPD analysis in conjunction with other biomarkers such as soil enzyme parameters would prove a powerful ecotoxicological tool.Further investigations should be carried out to understand the clear link between RAPD patterns and enzyme activity.

Analysis of the Genetic Structure of Sclerotinia sclerotiorum （Lib.） de Bary Populations from Different Regions and Host Plants by Random Amplified Polymorphic DNA Markers

: The genetic diversity and genetic structure of a population of isolates of Sclerotinia sclerotiorum (Lib.) de Bary from different regions and host plants were investigated using the random amplified polymorphic DNA (RAPD) method with 20 random decamer primer pairs in order to provide some information on the phylogenetic taxa and breeding for resistance to sclerotinia stem rot. A minimum of three and a maximum of 15 unambiguously amplified bands were generated, furnishing a total of 170 bands ranging in size from 100 to 3 200 bp, corresponding to an average of 8.5 bands per primer pair. One hundred and four of these 170 bands (61.2%) were polymorphic, the percentage of polymorphic bands for each primer pair ranging from 0.0% to 86.7%. The genetic relationships among the isolates, based on the results of RAPD analysis, were examined. The genetic similarity of all selected isolates was quite high. At the species level, the genetic diversity estimated by Nei's gene diversity (h) was 0.197 and Shannon's index of diversity (I) was 0.300. The unweighted pair-group mean analysis (UPGMA) cluster analysis showed that most isolates from the same regions were grouped in the same cluster or a close cluster. The population of isolates from Hefei (Anhui Province, China) was more uniform and relatively distant to other populations. The Canadian population collected from carrot (Daucus carota var. sativa DC.) was relatively close to the Polish population collected from oilseed rape (Brassica napus L.) plants. There was no relationship between isolates from the same host plants. An analysis of molecular variance (AMOVA) revealed that the percentage of variance attributable to variation among and within populations was 50.62% and 49.38%, respectively. When accessions from China, Europe, and Canada were treated as three separate groups, the variance components among groups, among populations within groups, and within populations were ?0.96%, 51.48%, and 49.47%, respectively. The genetic differentiations among and within populations were highly significant (P < 0.001). Similarly, the coefficient of gene differentiation (Gst) in total populations calculated by population genetic analysis was 0.229 4, which indicated that the genetic variation among populations was 22.94%. The gene flow (Nm) was 1.68, which indicated that the gene permutation and interaction among populations was relatively high.

Hypertension and NAFLD risk:Insights from the NHANES 2017-2018 and Mendelian randomization analyses

Background:Hypertension and non-alcoholic fatty liver disease(NAFLD)share several pathophysiologic risk factors,and the exact relationship between the two remains unclear.Our study aims to provide evidence concerning the relationship between hypertension and NAFLD by analyzing data from the National Health and Nutrition Examination Survey(NHANES)2017-2018 and Mendelian randomization(MR)analyses.Methods:Weighted multivariable-adjusted logistic regression was applied to assess the relationship between hypertension and NAFLD risk by using data from the NHANES 2017-2018.Subsequently,a two-sample MR study was performed using the genome-wide association study(GWAS)summary statistics to identify the causal association between hypertension,systolic blood pressure(SBP),diastolic blood pressure(DBP),and NAFLD.The primary inverse variance weighted(IVW)and other supplementary MR approaches were conducted to verify the causal association between hypertension and NAFLD.Sensitivity analyses were adopted to confirm the robustness of the results.Results:A total of 3144 participants were enrolled for our observational study in NHANES.Weighted multivariable-adjusted logistic regression analysis suggested that hypertension was positively related to NAFLD risk(odds ratio[OR]=1.677;95%confidence interval[CI],1.159-2.423).SBP≥130 mmHg and DBP≥80 mmHg were also significantly positively correlated with NAFLD.Moreover,hypertension was independently connected with liver steatosis(β=7.836[95%CI,2.334-13.338]).The results of MR analysis also supported a causal association between hypertension(OR=7.203[95%CI,2.297-22.587])and NAFLD.Similar results were observed for the causal exploration between SBP(OR=1.024[95%CI,1.003-1.046]),DBP(OR=1.047[95%CI,1.005-1.090]),and NAFLD.The sensitive analysis further confirmed the robustness and reliability of these findings(all P>0.05).Conclusion:Hypertension was associated with an increased risk of NAFLD.

An overview of a unified theory of dynamics of vehicle–pavement interaction under moving and stochastic load

This article lays out a unified theory for dynamics of vehicle-pavement interaction under moving and stochastic loads. It covers three major aspects of the subject： pavement surface, tire-pavement contact forces, and response of continuum media under moving and stochastic vehicular loads. Under the subject of pavement surface, the spectrum of thermal joints is analyzed using Fourier analysis of periodic function. One-dimensional and two-dimensional random field models of pavement surface are discussed given three different assumptions. Under the subject of tire-pavement contact forces, a vehicle is modeled as a linear system. At a constant speed of travel, random field of pavement surface serves as a stationary stochastic process exciting vehicle vibration, which, in turn, generates contact force at the interface of tire and pavement. The contact forces are analyzed in the time domain and the frequency domains using random vibration theory. It is shown that the contact force can be treated as a nonzero mean stationary process with a normal distribution. Power spectral density of the contact force of a vehicle with walking-beam suspension is simulated as an illustration. Under the subject of response of continuum media under moving and stochastic vehicular loads, both time-domain and frequency-domain analyses are presented for analytic treatment of moving load problem. It is shown that stochastic response of linear continuum media subject to a moving stationary load is a nonstationary process. Such a nonstationary stochastic process can be converted to a stationary stochastic process in a follow-up moving coordinate.

Assessment of causal association between thyroid function and lipid metabolism:a Mendelian randomization study

Background:Thyroid dysfunction is associated with cardiovascular diseases.However,the role of thyroid function in lipid metabolism remains partly unknown.The present study aimed to investigate the causal association between thyroid function and serum lipid metabolism via a genetic analysis termed Mendelian randomization(MR).Methods:The MR approach uses a genetic variant as the instrumental variable in epidemiological studies to mimic a randomized controlled trial.A two-sample MR was performed to assess the causal association,using summary statistics from the Atrial Fibrillation Genetics Consortium(n=537,409)and the Global Lipids Genetics Consortium(n=188,577).The clinical measures of thyroid function include thyrotropin(TSH),free triiodothyronine(FT3)and free thyroxine(FT4)levels,FT3:FT4 ratio and concentration of thyroid peroxidase antibodies(TPOAb).The serum lipid metabolism traits include total cholesterol(TC)and triglycerides,high-density lipoprotein,and low-density lipoprotein(LDL)levels.The MR estimate and MR inverse variance-weighted method were used to assess the association between thyroid function and serum lipid metabolism.Results:The results demonstrated that increased TSH levels were significantly associated with higher TC(β=0.052,P=0.002)and LDL(β=0.041,P=0.018)levels.In addition,the FT3:FT4 ratio was significantly associated with TC(β=0.240,P=0.033)and LDL(β=0.025,P=0.027)levels.However,no significant differences were observed between genetically predicted FT4 and TPOAb and serum lipids.Conclusion:Taken together,the results of the present study suggest an association between thyroid function and serum lipid metabolism,highlighting the importance of the pituitary-thyroid-cardiac axis in dyslipidemia susceptibility.

Effect of Shoushen granule on arterial elasticity in patients with carotid atherosclerosis:a clinical randomized controlled trial

OBJECTIVE: To investigate the effectiveness of Shoushen granule,Chinese herbal preparation,on carotid artery elasticity in patients with carotid atherosclerosis.METHODS: The total of 156 carotid atherosclerosis patients were randomly divided into the intervention group(83 cases,treated with Shoushen granule) and the control group(73 cases,treated with pravastatin). Brachial-ankle pulse wave velocity(ba PWV) and Ankle-Brachial Pressure Index(ABI)were measured by automated arteriosclerosis detector. The changes of common carotid artery intima-media thickness(IMT) and parameters of the carotid artery elasticity in patients,including stiffness parameter(β),pressure-strain elastic modulus(Ep),arterial compliance(Ac),augmentation index(AI),and pulse wave velocity β(PWVβ) were detected by Echo-Tracking(ET) technique before and after 24 week treatment. In the meantime,levels of blood lipid,and liver and renal function were measured respectively.RESULTS: After 24 weeks,ba PWV,IMT and parameters of the carotid artery elasticity(β,Ep,AI and PWVβ) were markedly decreased in intervention group compared with those of before treatment(P < 0.01),but the level of Ac was increased significantly(P < 0.01). And there were no significant differences compared with control group on the same period(P > 0.05).CONCLUSION: In this pilot study,it was demonstrated ET technology and automated arteriosclerosis detector could be used to evaluate carotid artery elasticity effectively,and the action of Shoushen granule on carotid atherosclerosis might be related to the regulation of carotid artery elasticity.

Genetic evidence suggesting the predicted causality between osteoarthritis and cardiovascular diseases

Background:Epidemiological studies have shown a close association between osteoarthritis(OA)and cardiovascular disease(CVD),but reliable evidence needs to be provided.We performed a two-sample Mendelian randomization(MR)study to examine the potential causal effect between OA and CVD.Methods:Exposures were self-reported OA,knee osteoarthritis(KOA),and hip osteoarthritis(HOA).The outcomes were 12 CVDs,including heart failure,atrial fibrillation,coronary artery disease,pulmonary embolism,stroke and its subtypes,myocardial infarction,coronary heart disease,and primary hypertension.All outcomes were obtained from published genomewide association studies.The inverse-variance weighted method was used as the primary MR analysis.Heterogeneity tests and sensitivity analyses were conducted to validate the accuracy of the MR results.Results:Self-reported OA increased the incidence of small vessel stroke(odds ratio[OR]=1.25,95%confidence interval[CI]:1.02–1.52,p=0.03)and primary hypertension(1.01[1.00–1.02],p<0.01).HOA increased the incidence of stroke(1.06[1.01–1.11],p=0.02)and two subtypes(cardioembolic stroke:1.12[1.02–1.23],p=0.02;ischemic stroke:1.06[1.01–1.11],p=0.03).Patients with KOA had an increased risk of heart failure(1.10[1.04–1.16],p<0.01),atrial fibrillation(1.08[1.02–1.13],p<0.01),small vessel stroke(1.21[1.06–1.39],p=0.01),and primary hypertension(1.01[1.01–1.02],p<0.01).Conclusions:Patients with OA have an increased risk of several CVDs.The causality of this relationship may have clinical implications for improving the quality of prevention and treatment.

Design of power balance SRAM for DPA-resistance

A power balance static random-access memory（SRAM） for resistance to differential power analysis（DPA） is proposed. In the proposed design, the switch power consumption and short-circuit power consumption are balanced by discharging and pre-charging the key nodes of the output circuit and adding an additional shortcircuit current path. Thus, the power consumption is constant in every read cycle. As a result, the DPA-resistant ability of the SRAM is improved. In 65 nm CMOS technology, the power balance SRAM is fully custom designed with a layout area of 5863.6 μm^2.The post-simulation results show that the normalized energy deviation（NED） and normalized standard deviation（NSD） are 0.099% and 0.04%, respectively. Compared to existing power balance circuits, the power balance ability of the proposed SRAM has improved 53%.