非晶合金条带的爆炸焊接

 报道了利用爆炸焊接技术对铁基、铁镍基非晶合金条带（厚度约25 μm）进行单层和多层爆炸焊接的结果。金相分析结果表明，条带间相互结合良好；X光衍射结果说明，焊接后的条带仍保持非晶态，即使采用表面已有部分晶化德条带进行焊接，焊接后仍转化为非晶态。这说明在焊接过程中条带表面已发生熔化，且冷却速度也可达10⁶ K/s量级。     

<Emphasis Type="Italic">G</Emphasis>-covering subgroup systems for the classes of supersoluble and nilpotent groups

LetF be a class of groups andG a group. We call a set Σ of subgroups ofG aG-covering subgroup system for the classF (or directly aF-covering subgroup system ofG) ifG ∈F whenever every subgroup in Σ is inF. In this paper, we provide some nontrivial sets of subgroups of a finite groupG which are simultaneouslyG-covering subgroup systems for the classes of supersoluble and nilpotent groups. Research of the first author is supported by the NNSF of China (Grant No. 10171086) and QLGCF of Jiangsu Province and a Croucher Fellowship of Hong Kong. Research of the second author is partially supported by a UGC (HK) grant #2060176 (2001/2002).     

混合增效分析试剂对不稳定配合物显色体系应用探讨——1 Cd~(2+)-GBHA体系

Cd~(2+)与乙二醛-双-(2-羟基缩苯胺)所成配合物在水溶液中极不稳定,立即退色,无法测定其吸光度.本文试验了混合增效分析试剂(Triton X-100+PVA+CTMAB)对此体系的增稳、增敏和增溶作用.在此三种增效分析试剂的协同作用下,使体系可稳定20min以上,表观摩尔吸光系数达1.12×10~4 L.mol~(-1)·Cm~(-1),有可能应用于分析实践.并初步探讨了有关机理.     

非水溶液盐效应的气液色谱研究——非电解质(烃、芳烃、氯代烃、酮)+盐(NaI、NaSCN、KSCN)+碳酸丙烯酯体系

由于碳酸丙烯酯(PC)具有较宽的液相区间(mp:224.0K,bp:514.9K)、较高的介电常数(64.92,298.15K)和较大的偶极矩(4.94D),它是一个在工业和科学研究中有广泛应用的非质子型极性溶剂。已有大量文献就PC溶液中电解质-PC、非电解质-PC和离子-离子间的相互作用情况作了报导。对于非电解质-电解质-PC三元系中溶质-溶剂间的相互作用情况还缺乏了解。本文希望通过测定非电解质溶质在PC的电解质溶液中的无限稀释活度系数γ_1~∞,对非水溶液中的溶质-溶剂作用情况有新的了解。气液色谱法(CLC)是测定无限稀释溶液活度系数的有效方法之一。作者曾利用GLC测定了一些烃、氯代烃、醇、酮在环丁砜电解质溶液中的无限稀释活度系数和盐效应常数.     

高功率低阻抗三平板传输线的设计

设计了Z箍缩实验装置中单路模块样机的低阻抗水介质三平板结构的传输线。根据三平板传输线的结构参数及相关计算公式,得到所设计的三平板传输线实际阻抗为4.08Ω(设计阻抗为4.00Ω)。在考虑传输线内板边缘与水箱耦合电容影响的条件下,采用有限元方法精确计算得到三平板传输线阻抗为3.77Ω。根据实验得到的传输线入口、出口电压电流测量结果,计算得到三平板传输线的实际运行阻抗为3.83Ω,与计算结果基本一致。另外,还对三平板传输线进行了静电场计算和分析,耐压实验表明,当三平板传输线出口电压达到3.1 MV时,未出现绝缘闪络,绝缘设计满足指标要求。     

Carter subgroups and Fitting heights of finite groups

Let G be a finite group possessing a Carter subgroup K. Denote by \(\mathbf {h}(G)\) the Fitting height of G, by \(\mathbf {h}^*(G)\) the generalized Fitting height of G, and by \(\ell (K)\) the number of composition factors of K, that is, the number of prime divisors of the order of K with multiplicities. In 1969, E. C. Dade proved that if G is solvable, then \(\mathbf {h}(G)\) is bounded in terms of \(\ell (K)\). In this paper, we show that \(\mathbf {h}^*(G)\) is bounded in terms of \(\ell (K)\) as well.     

基于时滞动力学模型对钻石公主号邮轮疫情的分析

2019年末以来,新型冠状病毒肺炎迅速蔓延的疫情引发了全球关注.文献[5-6]提出了一类时滞动力学系统的新冠肺炎传播模型用以描述疫情的发展趋势.文献[7]在此基础上,结合CCDC统计数据,提出了一类基于CCDC统计数据的随机时滞动力学模型.本文将使用以上两类模型研究分析"钻石公主号"邮轮的疫情发展.基于日本厚生劳动省公布的数据,本文准确反演出模型参数,进而有效模拟当前疫情的发展,并预测疫情未来的趋势,发现在疫情爆发初期基本再生数R0(t)较大,而后随着防控措施加强而逐渐减小;约在2月下旬,累计确诊人数增长速度放缓,在3月上旬,累计确诊人数趋于稳定,即无新增确诊人数,疫情得到有效控制;最终累计确诊人数对隔离率变化敏感,隔离率升高,最终累计确诊人数将有显著下降.针对传染率较高、隔离率较低的问题,本文建议日本政府进一步加强防控措施,抑制疫情的大规模爆发.     

基于FUDAN-CCDC模型对新冠肺炎的建模和确诊人数的预测

科学地预测疫情发展趋势对疫情防控至关重要.在新时滞动力学模型(TDD-NCP)的基础上,提出基于随机动力学的时滞卷积模型和离散卷积模型,并基于中国疾病预防控制中心的相关研究结果及公开数据以及Wallinga和Lipsitch的工作,反演出COVID-19的重要参数,拟合了武汉及上海市疫情发展趋势.     

<Emphasis Type="Italic">S</Emphasis>-embedded subgroups of finite groups

A subgroup H of G is said to be S-embedded in G if G has a normal subgroup N such that HN is s-permutable in G and H ∩ N ⩽ H _sG , where H _sG is the largest s-permutable subgroup of G contained in H. S-embedded subgroups are used to give novel characterizations for some classes of groups. New results are obtained and a number of previously known ones are generalized.     

On sparse estimation for semiparametric linear transformation models

Semiparametric linear transformation models have received much attention due to their high flexibility in modeling survival data. A useful estimating equation procedure was recently proposed by Chen et al. (2002) [21] for linear transformation models to jointly estimate parametric and nonparametric terms. They showed that this procedure can yield a consistent and robust estimator. However, the problem of variable selection for linear transformation models has been less studied, partially because a convenient loss function is not readily available under this context. In this paper, we propose a simple yet powerful approach to achieve both sparse and consistent estimation for linear transformation models. The main idea is to derive a profiled score from the estimating equation of Chen et al. [21], construct a loss function based on the profile scored and its variance, and then minimize the loss subject to some shrinkage penalty. Under regularity conditions, we have shown that the resulting estimator is consistent for both model estimation and variable selection. Furthermore, the estimated parametric terms are asymptotically normal and can achieve a higher efficiency than that yielded from the estimation equations. For computation, we suggest a one-step approximation algorithm which can take advantage of the LARS and build the entire solution path efficiently. Performance of the new procedure is illustrated through numerous simulations and real examples including one microarray data.