“三回归”:高校辅导员工作重点的理性审视

在加快构建高校思想政治工作体系、大力重视辅导员队伍建设的背景下,高校辅导员必须提升自身素养,牢记辅导员工作初心,做到"三回归",即回归辅导员个体成长"主旨"、回归思想政治教育"主业"、回归学生学业指导"主线"。只有这样,辅导员才能在职业化、专业化的道路上不断前进,切实履行"立德树人"的职业使命。

初中作文训练应强化“三个回归”的意识

作文教学必须要增强师生的＂三个回归＂意识,作文必须要回归自然,在自然事物的描写中体现情感;必须要回归现实,在现实的环境中展现独特的价值观;必须要回归创作,在创作中彰显个性和风格。本文对此进行了分析研究。

Congruences for finite triple harmonic sums

Zhao （2003a） first established a congruence for any odd prime p〉3, S（1,1,1 ;p）=-2Bp-3 （mod p）, which holds when p=3 evidently. In this paper, we consider finite triple harmonic sum S（α,β, γ,ρ） （modp） is considered for all positive integers α,β, γ. We refer to w=α＋β＋ γ as the weight of the sum, and show that if w is even, S（α,β, γ,ρ）=0 （mod p） for p≥w＋3; if w is odd, S（α,β, γ,ρ）=-rBp-w （mod p） for p≥w, here r is an explicit rational number independent ofp. A congruence of Catalan number is obtained as a special case.

oncausal spatial prediction filtering based on an ARMA model

Conventional f-x prediction filtering methods are based on an autoregressive model. The error section is first computed as a source noise but is removed as additive noise to obtain the signal, which results in an assumption inconsistency before and after filtering. In this paper, an autoregressive, moving-average model is employed to avoid the model inconsistency. Based on the ARMA model, a noncasual prediction filter is computed and a self-deconvolved projection filter is used for estimating additive noise in order to suppress random noise. The 1-D ARMA model is also extended to the 2-D spatial domain, which is the basis for noncasual spatial prediction filtering for random noise attenuation on 3-D seismic data. Synthetic and field data processing indicate this method can suppress random noise more effectively and preserve the signal simultaneously and does much better than other conventional prediction filtering methods.

Two-and Three-Dimensional Urban Core Determinants of the Urban Heat Island： A Statistical Approach

There is no doubt that the UHI （urban heat island） is a mounting problem in built-up environments, due to the energy retention by surface dense building materials, leading to increased temperatures, air pollution, and energy consumption. Much of the earlier research on the UHI has used two-dimensional （2-D） information, such as land uses and the distribution of vegetation. In the case of homogeneous land uses, it is possible to predict surface temperatures with reasonable accuracy with 2-D information. However, three-dimensional （3-D） information is necessary to analyze more complex sites, including dense building clusters. In this research, 3-D building geometry information is combined with 2-D urban surface information to examine the relationship between urban characteristics and temperature. The research includes the following stages： （1） estimating urban temperature; （2） developing a 3-D city model; （3） generating geometric parameters; and （4） conducting statistical analyses using both linear and non-linear regression models. The implications of the results are discussed, providing guidelines for policies aiming to reduce the UHI.

Accurate estimation of soil shear strength parameters

The cost and safety of geotechnical engineering are highly depending on the accuracy of soil shear strength parameters.There are three methods often used to estimate soil shear strength parameters,i.e.,moment method,3-sigma rule and linear regression method.In this study,the accuracy of these three methods is compared.Traditional linear regression method(LRM)can only offer the mean of shear strength parameters.Some engineers misuse the standard error of shear strength indexes as the standard deviations.Such misuse may highly underestimate the uncertainty and induce high risk to the geotechnical design.A modified LRM is proposed to determine both the mean and variance of shear strength parameters.The moment method,three-sigma rule and LRM are used to analyze the tri-axial test data in Xiaolangdi Hydraulic Project and three numerical shear strength tests.The results demonstrate that:1)The modified LRM can offer the most accurate estimation to shear strength parameters;2)A dimensionless formula is much preferred in LRM rather than a dimensional formula.The stress ratio formula is much better than stress relation in the shear strength parameter analysis.The proposed method is applicable to shear strength parameter analysis for tri-axial test data,direct shear test and the un-drained shear strength test of stratified clay.

A polynomial smooth epsilon-support vector regression based on cubic spline interpolation

Regression analysis is often formulated as an optimization problem with squared loss functions. Facing the challenge of the selection of the proper function class with polynomial smooth techniques applied to support vector regression models, this study takes cubic spline interpolation to generate a new polynomial smooth function ｜×｜ε^ 2, in g-insensitive support vector regression. Theoretical analysis shows that Sε^2 -function is better than pε^2 -function in properties, and the approximation accuracy of the proposed smoothing function is two order higher than that of classical pε^2 -function. The experimental data shows the efficiency of the new approach.

Structural features of substituted triazole-linked chalcone derivatives as antimalarial activities against D_(10) strains of Plasmodium falciparum: A QSAR approach

A quantitative structure–activity relationship(QSAR) was performed to analyze antimalarial activities against the D10 strains of Plasmodium falciparum of triazole-linked chalcone and dienone hybrid derivatives using partial least squares regression coupled with stepwise forward–backward variable selection method. QSAR analyses were performed on the available IC50 D10 strains of Plasmodium falciparum data based on theoretical molecular descriptors. The QSAR model developed gave good predictive correlation coefficient(r2) of 0.8994, significant cross validated correlation coefficient(q2) of 0.7689, r2 for external test set)(2predr of 0.8256, coefficient of correlation of predicted data set)(2sepred,r of 0.3276. The model shows that antimalarial activity is greatly affected by donor and electron-withdrawing substituents. The study implicates that chalcone and dienone rings should have strong donor and electron-withdrawing substituents as they increase the activity of chalcone. Results show that the predictive ability of the model is satisfactory, and it can be used for designing similar group of antimalarial compounds. The findings derived from this analysis along with other molecular modeling studies will be helpful in designing of the new potent antimalarial activity of clinical utility.

Metabolic syndrome and gallstone disease

AIM： To investigate the association between metabolic syndrome （NetS） and the development of gallstone disease （GSD）. METHODS： A cross-sectional study was conducted in 7570 subjects （4978 men aged 45.0：1：8.8 years, and 2592 women aged 45.3：1：9.5 years） enrolled from the physical check-up center of the hospital. The subjects included 918 patients with gallstones （653 men and 265 women） and 6652 healthy controls （4325 men and 2327 women） without gallstones. Body mass index （BII）, waist circumference, blood pressure, fasting plasma glucose （FPG） and serum lipids and lipoproteins levels were measured. Colorimetric method was used to measure cholesterol, high-density lipoprotein cho- lesterol （HDL-C） and low-density lipoprotein cholesterol （LDL-C）. Dextrose oxidizing enzyme method was used to measure FPG. Subjects were asked to complete a questionnaire that enquired about the information on demographic data, age, gender, histories of diabetes mellitus, hypertension, and chronic liver disease and so on. Metabolic syndrome was diagnosed according to the Adult Treatment Panel HI （ATP ]3） criteria. Gall- stones were defined by the presence of strong intralu- minal echoes that were gravity-dependent or attenu- ated ultrasound transmission. RESULTS： Among the 7570 subjects, the prevalence of the gallstone disease was 12.1% （13.1% in men and 10.2% in women）. BMI, waist circumference, systolic blood pressure, diastolic blood pressure, fasting blood glucose and serum triglyceride （TG） in cases group were higher than in controls, while serum high-density lipid was lower than in controls. There were significant differences in the waist circumference, blood pressure, FPG and TG between cases and controls. In an age- adjusted logistic regression model, metabolic syndrome was associated with gallstone disease. The age-adjust- ed odds ratio of MetS for GSD in men was 1.29 [95% confidence interval （CI）, 1.09-1.52; P = 0.0030], and 1.68 （95% CI, 1.26-2.25; P = 0.0004） in women; the overall age-adjusted odds ratio of NetS for GSD was 1.42 （95% CI, 1.23-1.64; P 〈 0.0001）. The men with more metabolic disorders had a higher prevalence of gallstone disease, the trend had statistical significance （P 〈 0.0001）. The presence of 5 components of the MetS increased the risk of gallstone disease by 3.4 times （P 〈 0.0001）. The prevalence of GSD in women who had 5 components of NetS was 5 times higher than in those without Nets component. The more the components of Mets, the higher the prevalence of GSD （P 〈 0.0001）. The presence of 5 components of the Mets increased the risk of gallstone disease by 4.0 times. CONCLUSION： GSD appears to be strongly associated with MetS, and the more the components of NetS, the higher the prevalence of GSD.

Combined back-analysis method of ground stress based on refined geological modeling

A new back-analysis method of ground stress is proposed with comprehensive consideration of influence of topography, geology and nonlinear physical mechanical properties of rock on ground stress. This method based on non-uniform rational B-spline (NURBS) technology provides the means to build a refined three-dimensional finite element model with more accurate meshing under complex terrain and geological conditions. Meanwhile, this method is a back-analysis of ground stress with combination of multivariable linear regression model and neural network (ANN) model. Firstly, the regression model is used to fit approximately boundary loads. Regarding the regressed loads as mean value, some sets of boundary loads with the same interval are constructed according to the principle of orthogonal design, to calculate the corresponding ground stress at the observation positions using finite element method. The results (boundary loads and the corresponding ground stress) are added to the samples for ANN training. And on this basis, an ANN model is established to implement higher precise back-analysis of initial ground stress. A practical application case shows that the relative error between the inversed ground stress and observed value is mostly less than 10 %, which can meet the need of engineering design and construction requirements.

国家治理现代化视域下“放管服”改革研究——基于5省区6地的实地调研

为推进国家治理现代化,需要重构政府与市场、社会的关系,实现"三个回归",由政府一元单向的管控,走向政府、市场、社会多元共治。"放管服"改革通过以清单建设明确政府职责边界,以商事制度改革破除市场发展桎梏,以一门式办理、网上办理优化政府公共服务推进了国家治理现代化,但仍面临来自改革自身和外部环境的双重障碍与挑战。为深化改革,需要从顶层设计上强化改革内外部的统筹、协调,并从积极培育社会组织、加快社会信用体系建设、遏制并祛除部门利益、创建新型国家综合配套改革试验区等方面着力化解一些带有基础性、全局性、战略性的深层次问题。

On 3D face reconstruction via cascaded regression in shape space

Cascaded regression has been recently applied to reconstruct 3D faces from single 2D images directly in shape space, and has achieved state-of-the-art performance. We investigate thoroughly such cascaded regression based 3D face reconstruction approaches from four perspectives that are not well been studied： （1） the impact of the number of 2D landmarks; （2） the impact of the number of 3D vertices; （3） the way of using standalone automated landmark detection methods; （4） the convergence property. To answer these questions, a simplified cascaded regression based 3D face reconstruction method is devised. This can be integrated with standalone automated landmark detection methods and reconstruct 3D face shapes that have the same pose and expression as the input face images, rather than normalized pose and expression. An effective training method is also proposed by disturbing the automatically detected landmarks. Comprehensive evaluation experiments have been carried out to compare to other 3D face reconstruction methods. The results not only deepen the understanding of cascaded regression based 3D face reconstruction approaches, but also prove the effectiveness of the proposed method.