Momentum as Translations at Conformal Infinity

Although General Relativity is the classic example of a physical theory based on differential geometry, the momentum tensor is the only part of the field equation that is not derived from or interpreted with differential geometry. This work extends General Relativity and Einstein-Cartan theory by augmenting the Poincaré group with projective (special) conformal transformations, which are translations at conformal infinity. Momentum becomes a part of the differential geometry of spacetime. The Lie algebra of these transformations is represented by vectorfields on an associated Minkowski fiber space. Variation of projective conformal scalar curvature generates a 2-index tensor that serves as linear momentum in the field equations of General Relativity. The computation yields a constructive realization of Mach’s principle: local inertia is determined by local motion relative to mass at conformal infinity in each fiber. The vectorfields have a cellular structure that is similar to that of turbulent fluids.

Conformable and Caputo’s Derivatives in Generalized Viscoelastic Models

We study two generalized versions of a system of equations which describe the time evolution of the hydrodynamic fluctuations of density and velocity in a linear viscoelastic fluid. In the first of these versions, the time derivatives are replaced by conformable derivatives, and in the second version left-handed Caputo’s derivatives are used. We show that the solutions obtained with these two types of derivatives exhibit significant similarities, which is an interesting (and somewhat surprising) result, taking into account that the conformable derivatives are local operators, while Caputo’s derivatives are nonlocal operators. We also show that the solutions of the generalized systems are similar to the solutions of the original system, if the order α of the new derivatives (conformable or Caputo) is less than one. On the other hand, when α is greater than one, the solutions of the generalized systems are qualitatively different from the solutions of the original system.

Fluorescence-based Multiplex PCR-Single Strand Conformation Polymorphism (SSCP) Analysis of 16S Ribosomal DNA Using Capillary Electrophoresis

The rRNA genetic locus is found in all prokaryotic organisms, and is highly conservative, although its relatively stable variations are found frequently in different bacteria. The utility of this locus as a taxonomic and phylogenetic tool has been reported widely. This study, aimed at 16S rRNA gene (16S rDNA) and with the help of biomolecular methods, attempted to achieve the goal of rapid identification of common pathogens. In this study, 333 clinical isolated pathogenic bacteria were collected. Two pairs of primers were chosen and labeled with different fluorescent dyes and then used to amplify the genomic DNA extracted from bacteria. The PCR products were then detected by capillary electrophoresis-single strand conformation polymorphism (CE-SSCP). In order to pursue higher resolution and peak-separation effect, a high efficient separating medium, liner polyacrylamidedel (LPA), was put to use in this study. Finally, every bacteria colony generated distinct patterns from each other, which were easily to be used for identification. These results indicated that PCR-CE-SSCP was a rapid identification method for bacterial identification, with the aspects of high efficiency and high precision. Compared with traditional method, this technology is of great utility for clinical use especially for its high sensitivity.

Non-Noether symmetries of Hamiltonian systems with conformable fractional derivatives

In this paper, we present the fractional Hamilton＇s canonical equations and the fractional non-Noether symmetry of Hamilton systems by the conformable fractional derivative. First/y, the exchanging relationship between isochronous variation and fractional derivatives, and the fractional Hamilton principle of the system under this fractional derivative are proposed. Secondly, the fractional Hamilton＇s canonical equations of Hamilton systems based on the Hamilton principle are established. Thirdly, the fractional non-Noether symmetries, non-Noether theorem and non-Noether conserved quantities for the Hamilton systems with the conformable fractional derivatives are obtained. Finally, an example is given to illustrate the results.

Variational Calculus With Conformable Fractional Derivatives

Invariant conditions for conformable fractional problems of the calculus of variations under the presence of external forces in the dynamics are studied. Depending on the type of transformations considered, different necessary conditions of invariance are obtained. As particular cases, we prove fractional versions of Noether's symmetry theorem. Invariant conditions for fractional optimal control problems, using the Hamiltonian formalism, are also investigated. As an example of potential application in Physics, we show that with conformable derivatives it is possible to formulate an Action Principle for particles under frictional forces that is far simpler than the one obtained with classical fractional derivatives.

Preliminary Network Centric Therapy for Machine Learning Classification of Deep Brain Stimulation Status for the Treatment of Parkinson’s Disease with a Conformal Wearable and Wireless Inertial Sensor

The concept of Network Centric Therapy represents an amalgamation of wearable and wireless inertial sensor systems and machine learning with access to a Cloud computing environment. The advent of Network Centric Therapy is highly relevant to the treatment of Parkinson’s disease through deep brain stimulation. Originally wearable and wireless systems for quantifying Parkinson’s disease involved the use a smartphone to quantify hand tremor. Although originally novel, the smartphone has notable issues as a wearable application for quantifying movement disorder tremor. The smartphone has evolved in a pathway that has made the smartphone progressively more cumbersome to mount about the dorsum of the hand. Furthermore, the smartphone utilizes an inertial sensor package that is not certified for medical analysis, and the trial data access a provisional Cloud computing environment through an email account. These concerns are resolved with the recent development of a conformal wearable and wireless inertial sensor system. This conformal wearable and wireless system mounts to the hand with the profile of a bandage by adhesive and accesses a secure Cloud computing environment through a segmented wireless connectivity strategy involving a smartphone and tablet. Additionally, the conformal wearable and wireless system is certified by the FDA of the United States of America for ascertaining medical grade inertial sensor data. These characteristics make the conformal wearable and wireless system uniquely suited for the quantification of Parkinson’s disease treatment through deep brain stimulation. Preliminary evaluation of the conformal wearable and wireless system is demonstrated through the differentiation of deep brain stimulation set to “On” and “Off” status. Based on the robustness of the acceleration signal, this signal was selected to quantify hand tremor for the prescribed deep brain stimulation settings. Machine learning classification using the Waikato Environment for Knowledge Analysis (WEKA) was applied using the multilayer perceptron neural network. The multilayer perceptron neural network achieved considerable classification accuracy for distinguishing between the deep brain stimulation system set to “On” and “Off” status through the quantified acceleration signal data obtained by this recently developed conformal wearable and wireless system. The research achievement establishes a progressive pathway to the future objective of achieving deep brain stimulation capabilities that promote closed-loop acquisition of configuration parameters that are uniquely optimized to the individual through extrinsic means of a highly conformal wearable and wireless inertial sensor system and machine learning with access to Cloud computing resources.

Lyapunov-Type Inequalities for Conformable BVP

In this paper, we present Lyapunov-type inequality for conformable BVP with the conformable fractional derivative of order 1≤2 and 2≤3 with corresponding boundary conditions. We obtain the Lyapunov-type inequality by a construction Green’s function and get its corresponding maximum value. Application to the corresponding eigenvalue problem is also discussed.

Solution of the Third Kind Boundary Value Problem of Laplace’s Equation Based on Conformal Mapping

In order to overcome the difficulty in solving the boundary value problem of electrostatic field with complex boundary and to give a new method for solving the third boundary value problem of Laplace’s equation, in this paper, the third boundary value problem of Laplace’s equation is studied by combining conformal mapping with theoretical analysis, the several analytical solutions of third boundary value problems of Laplace’s equation are gives, the correctness of its solution is verified through computer numerical simulation, and a new idea and method for solving the third boundary value problem of Laplace’s equation is obtained. In this paper, the boundary condition of the solving domain is changed by the appropriate conformal mapping, so that the boundary value problem on the transformed domain is easy to be solved or be known, and then the third kind boundary value of the Laplace’s equation can be solved easily;its electric potential distribution is known. Furthermore, the electric field line and equipotential line are plotted by using the MATLAB software.

ZTE Achieves TM Forum's Frameworx 12.0 Conformance Certification

19 November 2013,Shenzhen-ZTE Corporation has announced that ZTE＇s ZSmart BSS/OSS V8 has successfully achieved TM Forum＇s Frameworx 12.0 Conformance Certification.TM Forum＇s Frameworx Conformance Certification is an independent verification of how a solution＇s business processes and information models align with the industry standards found in Frameworx,including the Business Process Framework（eTOM）and Information Framework（SID）.

TRANSFORM THE MECHANISM OF RENMINBI’S EXCHANGE RATE SYSTEM IN CONFORMITY WITH THE DEMAND OF MARKET ECONOMY——The academic report delivered at the Annual Meeting of NNCIFS on October 1993

Exchange rate functions under systems of centrallyplanned economy and market economy are quite different,and the mechanism to determine such exchange rate is alsodifferent. To adopt a socialist market economic system inChina, the exchange rate mechanism of Renminbi must bethoroughly transformed. To accomplish this goal, I believethere are three problems that must be solved: first,

Distinction of an Assortment of Deep Brain Stimulation Parameter Configurations for Treating Parkinson’s Disease Using Machine Learning with Quantification of Tremor Response through a Conformal Wearable and Wireless Inertial Sensor

Deep brain stimulation offers an advanced means of treating Parkinson’s disease in a patient specific context. However, a considerable challenge is the process of ascertaining an optimal parameter configuration. Imperative for the deep brain stimulation parameter optimization process is the quantification of response feedback. As a significant improvement to traditional ordinal scale techniques is the advent of wearable and wireless systems. Recently conformal wearable and wireless systems with a profile on the order of a bandage have been developed. Previous research endeavors have successfully differentiated between deep brain stimulation “On” and “Off” status through quantification using wearable and wireless inertial sensor systems. However, the opportunity exists to further evolve to an objectively quantified response to an assortment of parameter configurations, such as the variation of amplitude, for the deep brain stimulation system. Multiple deep brain stimulation amplitude settings are considered inclusive of “Off” status as a baseline, 1.0 mA, 2.5 mA, and 4.0 mA. The quantified response of this assortment of amplitude settings is acquired through a conformal wearable and wireless inertial sensor system and consolidated using Python software automation to a feature set amenable for machine learning. Five machine learning algorithms are evaluated: J48 decision tree, K-nearest neighbors, support vector machine, logistic regression, and random forest. The performance of these machine learning algorithms is established based on the classification accuracy to distinguish between the deep brain stimulation amplitude settings and the time to develop the machine learning model. The support vector machine achieves the greatest classification accuracy, which is the primary performance parameter, and K-nearest neighbors achieves considerable classification accuracy with minimal time to develop the machine learning model.

羊源乙肝病毒与人乙肝病毒S基因序列同源性研究

为深入探讨动物乙肝与人乙肝之间的相关性 ,对用人乙肝诊断试剂盒检测出来的“三阳”( HBs Ag、HBe Ag、抗 - HBc)羊源的乙肝病料进行了病毒分离和形态学鉴定 ,并以人乙肝病毒 S基因两侧的保守区域作为模板 ,采用套式 PCR方法扩增出羊源乙肝病毒部分基因。序列分析结果表明 ,羊源乙肝病毒与人乙肝病毒在 S基因上核苷酸序列有一定的同源性 。

弹体上S波段微带共形天线阵

详细论述了弹体微带共形天线阵的设计方法及其工程应用。依据此工程近似方法，研制了一副S波段16单元微带天线共形阵，并给出了实测结果．

绵羊LHR基因PCR-SSCP多态性与繁殖性状的关联分析

通过聚合酶链式反应-单链构象多态性(PCR-SSCP)分析方法检测绵羊品种(湖羊、晋中绵羊和陵川半细毛羊)促黄体素受体(luteinizing hormone receptor,LHR)基因外显子11核酸序列的单核苷酸多态性,并研究该基因多态性对湖羊性早熟和产羔数的影响。结果表明:在6对引物扩增产物中,只有引物P2和P6的扩增片段具有多态性,引物P2扩增区存在2种基因型,分别为LL和LM型,在3个绵羊品种中均未检测到MM型;引物P6扩增区存在6种不同的SSCP带型,经序列比对分析存在T2053A、A2044T和G2003A的错义突变。湖羊和晋中绵羊P2扩增区基因型分布差异不显著(P>0.05),而与陵川半细毛羊均存在极显著差异(P<0.01);P6扩增区的2 053、2 044、2 003位点各基因型分布在湖羊和晋中绵羊间差异不显著(P>0.05),而与陵川半细毛羊间存在显著差异。P2扩增位点仅陵川半细毛羊的基因分布不符合哈迪-温伯格定律;P6扩增区湖羊和晋中绵羊在各突变位点的等位基因频率处于群体平衡状态,陵川半细毛羊除2 003突变位点基因分布处于群体不平衡状态外,其余突变位点的等位基因频率分布符合哈迪-温伯格定律;LHR外显子11区不同基因型湖羊各胎次产羔数差异不显著(P>0.05),表明LHR外显子11对湖羊的性早熟和高繁殖力性状没有显著影响。

超高压处理对S-卵白蛋白构象与功能特性的影响

采用激光拉曼光谱、荧光光谱分析超高压(UHP)对S-卵白蛋白构象的影响,并考察其对溶解性、乳化性和起泡能力等功能特性的影响。结果表明,经UHP处理后S-卵白蛋白的分子量分布没有明显变化。随着压力增加,无规卷曲含量逐渐增加,二硫键构象变化使蛋白稳定性降低,酪氨酸残基包埋于侧链中,紧密折叠结构得以舒展。经100 MPa处理后S-卵白蛋白的荧光强度略有增强,此后急剧下降,无峰位位移现象,说明UHP引起蛋白分子构象变化。S-卵白蛋白的溶解性、乳化性及起泡能力等功能特性均随压力增加而明显改善,以300 MPa处理较为理想,此后压力增加至500 MPa时反而下降。

PCR-SSCP分支杆菌菌种初步鉴定方法的建立及其应用

建立一种简便、快速、灵敏和特异的分支杆菌菌种鉴定方法。方法 :通过聚合酶链反应 (PolymeraseChainReaction ,PCR) -单链构象多态性 (Single -strndedConformationPolymorphism ,SSCP)方法分析分支杆菌 16SrRNA ,根据其电泳图谱与标准株的相似性进行菌种初步鉴定。结果 :2 9种分支杆菌标准株中 ,除结核分支杆菌、牛结核分支杆菌和卡介苗之间及堪萨斯分支杆菌和胃分支杆菌之间SSCP电泳图谱相似外 ,其余各种分支杆之间电泳图谱均有显著差异。 70株BACTECTB4 60初步鉴定为结核分支杆菌复合群的临床分离株中 ,55株显示与结核分支杆菌SSCP电泳图谱相似 ,15例 (2 1.4 % )显示出与结核分支杆菌完全不同的电泳图谱 ;10株经传统方法鉴定为结核分支杆菌的分离株中 ,仅 1株显示出与结核分支杆菌不同的电泳图谱。结论 :PCR -SSCP有可能成为一种快速、有效的分支杆菌菌种初步鉴定方法。

绵羊PRNP等位基因PCR-SSCP分析条件的优化

为进行绵羊PRNP等位基因密码子136、154、171的多态性研究,建立适合于绵羊PRNP等位基因开放阅读框(ORF)内高变区PCR-SSCP分析方法,对凝胶浓度、交联度、甘油浓度、电泳电压、电泳时间、PCR产物与变性缓冲液比例、电泳缓冲液浓度、上样量等影响因素进行了优化试验。在优化中引入了正交试验法,以使优化过程简化,结果可靠。结果表明,交联度49∶1、甘油浓度0%、凝胶浓度12%、电泳电压200 V、PCR产物上样量≥2.0μL且<4.0μL、PCR产物与变性缓冲液比例1∶4、0.5×TBE缓冲液及4℃电泳45 h为最佳试验条件,据此建立了绵羊PRNP等位基因136、154、171密码子的PCR-SSCP分析方法。

基于近场旋转技术的共形阵列天线方向图高效计算方法

文中提出了一种基于近场旋转技术的新型共形阵列天线方向图快速计算方法。首先,首次根据共形载体信息对单个特定天线单元近场封闭表面上的电场、磁场和采样点位置进行坐标旋转变换,进而得到其在全局坐标系下近场封闭面上的电场和磁场。然后,基于谢昆诺夫等效原理计算单个天线单元的等效电流和磁流及其所产生的辐射场,并遍历共形阵所有单元计算其在全局坐标系下的辐射场。进一步地,将全局坐标系下所有单元方向图进行矢量叠加得到共形阵列天线的远区总场。最终,通过两个具有不同载体平台与不同阵元的共形阵列天线方向图算例,并与全波仿真以及基于远场旋转技术的计算方法相比较,验证了所提出方法相较于远场旋转技术在计算精度与效率上的优势。

对甲基苯乙炔基铁硫配合物(μ-p-CH_(3)C_(6)H_(4)C≡CS)(μ-RS)Fe_(2)(CO)_(6)的合成、结构及构象

通过对甲基苯乙炔基溴化镁断裂μ-S2Fe_(2)(CO)_(6)的S—S键可得“开式”中间体(μ-p-CH_(3)C_(6)H_(4)C≡CS)(μ-BrMgS)Fe_(2)(CO)_(6)。该中间体与有机卤化物作用生成了11种通式为(μ-p-CH_(3)C_(6)H_(4)C≡CS)(μ-RS)Fe_(2)(CO)_(6)的“开式”铁硫原子簇配合物。还确定了某些配合物可能的构象体及其含量比。