Spin-dependent Bohm trajectories associated with an electronic transition in hydrogen
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老年大鼠下丘脑β—内啡肽神经元的变化
王代学;向正华
【期刊名称】《老年学杂志》
【年(卷),期】1993(013)001
【摘要】本文报道了以PAP免疫组化和微机图像分析技术,相对定量研究老年雄性大鼠下丘脑弓状核β-EP神经元分泌功能变化所伴随的某些形态学改变。
结果表明老年大鼠下丘脑弓状核分泌功能降低,但其β-EP神经元数目无明显改变,下行到正中隆起范围内外带的阳性纤维的串珠状结构基本正常,而神经元胞体明显缩小和阳性反应物面积显著减少,提示β-EP神经元胞体发生了衰老形态学改变和POMC转化为β-EP能力减弱。
【总页数】2页(P49-50)
【作者】王代学;向正华
【作者单位】不详;不详
【正文语种】中文
【中图分类】R392.1
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磷酸二酯酶抑制剂与学习记忆相关信号转导通路研究进展王 闯1,程玉芳1,张汉霆1,2,徐江平1(1.南方医科大学药学院药理学系,广东广州 510515;2.Dep t of Behavi oralM edicine and Psychiatry,W est V irginia University Health Sciences Center,Morgant own,WV 2650629137,US A )中国图书分类号:R 205;R 34214;R 338164;R 74517;R 97713文献标识码:A 文章编号:1001-1978(2009)07-0844-04摘要:大量的研究表明,环磷酸腺苷反应元件结合蛋白(c AM P res ponse ele ment binding p r otein,CRE B )直接或间接激活相关基因转录,进而表达c 2f os 、c 2jun 、BDNF 等,在神经元应激损伤后的再生、存活及修复以及学习记忆等方面发挥重要作用。
磷酸二酯酶可以水解环磷酸腺苷(cyclic AM P,c AMP )及环磷酸鸟苷(cyclic G MP,cG MP ),进而影响其下游信号转导,发挥对CRE B 的调节作用。
该文从磷酸二酯酶抑制剂与学习记忆相关信号通路的关系及在学习记忆障碍中发挥的作用予以综述,并由该通路入手对发现治疗神经退行性变疾病药物作用新靶点的可能性予以展望。
关键词:c AM P;cG M P;信号转导通路;学习记忆;神经退行性变疾病;靶点收稿日期:2009-02-14,修回日期:2009-04-27基金项目:国家自然科学基金资助项目(No 30672453);广东省自然科学基金重点资助项目(No 7117782)作者简介:王 闯(1981-),男,博士生,研究方向:神经药理与新药临床前评价,Tel:020*********,E 2mail:c020@fi m mu .com;徐江平(1967-),男,博士,教授,博士生导师,研究方向:神经药理与新药临床前评价,Tel:020*********,E 2mail:j px@fi m mu .com 在学习和记忆过程中,大脑中特殊的神经元会被激活,这些分子变化导致神经元功能改变。
红细胞沉降率结合hs-CRP水平预测脊柱结核患者预后的临床价值顾伟① 佴伟萍① 孙朝花② 【摘要】 目的:分析红细胞沉降率(ESR)结合超敏C反应蛋白(hs-CRP)预测脊柱结核患者预后的临床价值。
方法:回顾性分析2016年1月—2022年1月于扬州市第三人民医院住院的102例脊柱结核患者的临床资料,同时招募60例于本院体检健康人士分别记为研究组与对照组。
比较两组ESR、hs-CRP水平,分析研究组临床资料,采用多因素logistic回归分析影响脊柱结核患者预后的独立因素,以受试者操作特征(ROC)曲线评价ESR、hs-CRP对脊柱结核患者预后的预测价值。
结果:研究组ESR、hs-CRP水平均高于对照组(P<0.05)。
研究组预后良好占比90.20%,预后不良占比9.80%。
脊柱结核预后良好与预后不良患者的年龄、性别、体重指数(BMI)、糖尿病、高血压、血清肌酐(Cr)、白蛋白比较,差异均无统计学意义(P>0.05);ESR、hs-CRP水平比较,差异均有统计学意义(P<0.05)。
多因素分析结果显示,ESR、hs-CRP均为影响脊柱结核患者预后的危险因素(P<0.05);ESR、hs-CRP水平联合预测脊柱结核患者预后效果最佳,其曲线下面积(AUC)为0.771,高于单独预测的0.713、0.719(Z=3.526,P=0.027;Z=3.507,P=0.032),敏感度与特异度分别为86.54%、79.02%。
结论:脊柱结核患者ESR、hs-CRP水平异常,预后不良患者ESR、hs-CRP水平高于预后良好患者,ESR、hs-CRP水平对脊柱结核患者预后的价值较高。
【关键词】 红细胞沉降率 超敏C反应蛋白 脊柱结核 敏感度 特异度 预后良好 The Clinical Value of Erythrocyte Sedimentation Rate Combined with hs-CRP Level in PredictingPrognosis of Patients with Spinal Tuberculosis/GU Wei, NAI Weiping, SUN Chaohua. //Medical Innovationof China, 2024, 21(06): 121-125 [Abstract] Objective: To analyze the clinical value of erythrocyte sedimentation rate (ESR) combinedwith hypersensitive C reactive protein (hs-CRP) in predicting the prognosis of patients with spinal tuberculosis.Method: Clinical data of 102 patients with spinal tuberculosis admitted to Yangzhou Third People's Hospitalfrom January 2016 to January 2022 were retrospectively analyzed, and 60 healthy people who underwent physicalexamination in our hospital were recruited and recorded as study group and control group respectively. The levelsof ESR and hs-CRP in the two groups were compared, and the clinical data of the study group were analyzed, theindependent factors affecting the prognosis of patients with spinal tuberculosis were analyzed by multivariate logisticregression, the predictive value of ESR and hs-CRP in the prognosis of patients with spinal tuberculosis was evaluatedby receiver operating characteristic (ROC) curve. Result: The levels of ESR and hs-CRP in the study group werehigher than those in the control group (P<0.05). The good prognosis was 90.20%, and the poor prognosis was 9.80%of patients in the study group. There were no statistical significance in age, gender, body mass index (BMI), diabetes, hypertension, serum creatinine (Cr) and albumin between patients with good and poor prognosis of spinal tuberculosis(P>0.05); there were statistically significant differences in ESR and hs-CRP levels (P<0.05). Logistic regressionanalysis was performed, and the results of multivariate analysis showed that ESR, hs-CRP were the risk factors forprognosis of patients with spinal tuberculosis (P<0.05). ESR and hs-CRP combined levels had the best prognosticeffect on prognosis of patients with spinal tuberculosis, and the area under the curve (AUC) (0.771) was higher than0.713 and 0.719 individual predicted (Z=3.526, P=0.027; Z=3.507, P=0.032), the sensitivity and specificity were86.54% and 79.02%, respectively. Conclusion: The ESR and hs-CRP levels in patients with spinal tuberculosis areabnormal, and the ESR and hs-CRP levels in patients with poor prognosis are higher than those in patients with good①扬州市第三人民医院结核科 江苏 扬州 225002②扬州市第三人民医院呼吸科 江苏 扬州 225002通信作者:孙朝花- 121 - 脊柱结核是脊柱骨头受到结核菌的侵犯,出现骨质破坏及坏死,表现为干酪样改变和脓肿形成,同时引起功能障碍的一种疾病,绝大多数发生于椎体,分为中心型和边缘型两种[1-2]。
伯氏疏螺旋体英文Title: Borrelia burgdorferi: An Insight into the Lyme Disease PathogenBorrelia burgdorferi, also known as Lyme disease spirochete, is a bacterial species belonging to the genus Borrelia within the spirochete family. It is a Gram-negative, microaerophilic organism that possesses a unique helical shape, characterized by 3 to 10 sparse spirals under microscopic examination. These spirochetes arefurther distinguished by their flagella, visible under electron microscopy, with 7 to 15 flagella at each end.The significance of Borrelia burgdorferi lies in its role as the causative agent of Lyme disease, a tick-borne infection that affects humans and other animals. Lyme disease is a multisystemic illness that can manifest with a range of symptoms, including skin rashes, arthritic pain, neurological problems, and cardiac abnormalities. The spirochete is transmitted to humans through the bite of infected ticks, primarily the Ixodes species.The lifecycle of Borrelia burgdorferi is intricately linked to its arthropod hosts. It spends part of its lifecycle within the tick, undergoing multiple stages of development before being transmitted to a new host. Once inside the host, the spirochete can disseminate throughout the body, invading various tissues and organs.The pathogenesis of Lyme disease involves complex interactions between Borrelia burgdorferi and the host's immune system. The spirochete possesses various virulence factors that enable it to evade immune clearance andpersist within the host. These factors include adhesinsthat facilitate attachment to host cells, proteases that degrade host proteins, and antigenic variation that allows the spirochete to evade immune recognition.The diagnosis of Lyme disease can be challenging due to the variable presentation of symptoms and the absence of a single, reliable diagnostic test. However, a combination of clinical symptoms, serological testing, and, in some cases, molecular detection methods can aid in the diagnosis. Treatment typically involves the administration ofantibiotics, which can effectively eliminate the spirochete in the early stages of infection.The ecology and epidemiology of Borrelia burgdorferi are also fascinating aspects of its biology. The spirochete is endemic in certain geographical regions, particularly those with high tick populations. Climate change and other environmental factors have been implicated in the expansion of tick habitats and, consequently, the increasing incidence of Lyme disease.Moreover, Borrelia burgdorferi exhibits genetic diversity, with multiple strains and subspecies identified. This diversity contributes to the variable clinical manifestations of Lyme disease and poses challenges for vaccine development and therapeutic strategies.Research into Borrelia burgdorferi and Lyme disease continues to evolve, with scientists seeking to better understand the spirochete's biology, pathogenesis, andhost-parasite interactions. This knowledge is crucial for developing more effective diagnostic tools, treatment options, and, ultimately, prevention strategies againstthis debilitating disease.In conclusion, Borrelia burgdorferi, the causativeagent of Lyme disease, is a complex and fascinatingorganism that holds significant implications for public health. Its unique biology and ability to evade immune clearance make it a challenging pathogen to combat. However, through continued research and innovation, we may one day find the key to preventing and effectively treating this debilitating disease.。
研究神经元粘附和连通的机制神经元是神经系统的基本单元,也是构建人类思维和行为的重要组成部分。
各神经元之间能够相互交流并形成网络,实现身体各部位之间的协作和信息传递。
正是这种网络结构和信息传递方式,让我们能够思考、行动和感受。
然而,神经元之间的联系并不是毫无章法的。
科学家们发现,神经元之间存在着一种精细的连通和粘附机制,它是神经网络正确运转的基础。
神经元间的粘附神经元间的粘附主要通过细胞间粘附分子实现。
这些分子主要有细胞粘附分子(CAMs)、神经粘附分子和神经突衔接蛋白等。
细胞粘附分子是一类重要的粘附分子。
它们能够将神经元和周围组织紧密连接起来,使其在组织结构上具备稳定性和可塑性。
同时,细胞粘附分子还能调控神经元发育过程中的指导信号和轴突引导。
神经突衔接蛋白是一类重要的突触特异性分子。
它有助于维持突触结构的稳定性,保持突触前后相对位置的不变,有利于信号传输。
除了这些分子,还有一类被称为旁分泌蛋白的物质,它们能够调控细胞间的交互作用。
有些旁分泌蛋白能够对突触后神经元衍生的突触后间隙信号进行调控,有助于维持神经元间的信息传递。
神经元间的连通相比于粘附分子,神经元间的连通机制更为精细。
神经元间的连接主要有两种方式:一种是电突触,指神经元间通过离子电流进行紧密联系的突触;另一种是化学突触,指神经元间通过释放神经递质物质,通过受体结合的方式达到传递信号的目的。
电突触的构成比较简单,它主要由三部分组成:突触前元件、突触后元件和间隙间隙障。
其中,突触前元件主要负责神经元间的信号传递、突触后元件则负责接受信号并转化为反应,而间隙间隙障则起到隔离和保护的作用。
化学突触则更为复杂。
化学突触分为突触前膜、突触囊泡和突触后膜等三个部分。
突触前膜负责释放神经递质物质,突触囊泡则负责存储和保护神经递质物质,而突触后膜则主要负责接受神经递质并转化为反应。
此外,化学突触的信号传递还涉及了各种酶、激酶、受体和离子通道等复杂的生化过程。
ASL 技术联合DWI 在脑肿瘤术后检查中的应用欧阳红斌,刘林林,陈瑞欢,许健恩,黄清善,李腾佛山复星禅诚医院医学影像科,广东佛山528011【摘要】目的探讨动脉自旋标记灌注成像(ASL)技术联合扩散加权成像(DWI)在脑肿瘤术后检查中的应用价值。
方法回顾性分析2020年3月至2023年2月在佛山复星禅诚医院进行术后检查的58例脑肿瘤患者的临床资料,依据随访或二次手术病理结果分为肿瘤复发组34例和胶质增生组24例,所有患者均接受常规磁共振扫描和ASL 、DWI 检查,对肿瘤灌注最显著区域及对侧正常脑实质的脑血流量(CBF)进行测量,计算相对CBF (rCBF),并对肿瘤实质强化边缘外1cm 内水肿区域的平均表观扩散系数(ADC)进行测量。
比较两组患者的rCBF 、ADC ,绘制受试者工作特征曲线(ROC)分析rCBF 、瘤周1cm 内ADC 及两者联合对胶质增生及脑肿瘤复发的诊断效能。
结果脑肿瘤复发组患者的rCBF 水平为3.59±0.46,明显高于胶质增生组的0.93±0.25,瘤周1cm 内ADC 为(1.30±0.25)×10-3mm 2/s ,明显低于胶质增生组的(1.53±0.18)×10-3mm 2/s ,差异均有统计学意义(P <0.05);经ROC 分析结果显示,rCBF 联合瘤周1cm 内ADC 诊断胶质增生及脑肿瘤复发的灵敏度与特异度分别为96.80%、92.45%,明显高于rCBF 、瘤周1cm 内ADC 单独诊断的84.44%、87.52%与89.83%、78.18%,差异均有统计学意义(P <0.05)。
结论ASL 技术联合DWI 应用于脑肿瘤术后检查中可准确评估肿瘤复发与胶质增生,且不需要注射对比剂,安全无创,具有较大的临床价值。
【关键词】脑肿瘤;动脉自旋标记灌注成像;扩散加权成像;相对脑血流量;表观扩散系数【中图分类号】R739.41【文献标识码】A 【文章编号】1003—6350(2024)02—0262—04Application of ASL technique combined with diffusion-weighted imaging in the examination of brain tumor after operation.OUYANG Hong-bin,LIU Lin-lin,CHEN Rui-huan,XU Jian-en,HUANG Qing-shan,LI Teng.Department of Medical Imaging,Foshan Fuxing Chancheng Hospital,Foshan 528011,Guangdong,CHINA【Abstract 】Objective To investigate the application value of arterial spin-labeled perfusion imaging (ASL)combined with diffusion-weighted imaging (DWI)in the examination of brain tumor after surgery.Methods The clini-cal data of 58patients with brain tumor who underwent postoperative examination in Foshan Fuxing Chancheng Hospi-tal from March 2020to February 2023were retrospectively analyzed.The patients were divided into tumor recurrence group (34cases)and gliosis group (24cases)according to the pathological results of follow-up or secondary operation.All patients received routine magnetic resonance scanning,ASL,and DWI examination.Cerebral blood flow (CBF)in the most significant area of tumor perfusion and the contralateral normal brain parenchyma was measured,and the rela-tive CBF (rCBF)was calculated.The average apparent diffusion coefficient (ADC)of the edema area within 1cm out-side the enhanced edge of tumor parenchyma was measured.Receiver operating characteristic (ROC)curves were drawn to analyze the diagnostic efficacy of rCBF,ADC within 1cm around the tumor,and their combination for gliosis and brain tumor recurrence.Results The rCBF level of the tumor recurrence group was 3.59±0.46,which was significantly higher than 0.93±0.25of the gliosis group;the ADC within 1cm of the tumor was (1.30±0.25)×10-3mm 2/s,which was significantly lower than (1.53±0.18)×10-3mm 2/s of the gliosis group;the differences were statistically significant (P <0.05).ROC analysis results showed that the sensitivity and specificity of rCBF combined with ADC in the diagnosis of gliosis and brain tumor recurrence were 96.80%and 92.45%,which were significantly higher than 84.44%,87.52%of rCBF and 89.83%,78.18%of ADC alone (P <0.05).Conclusion The application of ASL technique in combination with DWI in the postoperative examination of brain tumors can accurately assess tumor recurrence and gliosis,and does not require injection of contrast agent,which is safe and non-invasive,and has great clinical value.【Key words 】Brain tumor;Arterial spin-labeled perfusion imaging;Diffusion-weighted imaging;Relative cere-bral blood flow;Apparent diffusion coefficient ·论著·doi:10.3969/j.issn.1003-6350.2024.02.023基金项目:广东省佛山市科学技术局项目(编号:2220001003942)。
专利名称:治疗微管蛋白羧肽酶相关的疾病的方法和药物组合物
专利类型:发明专利
发明人:A·安德烈,M-J·穆丁,C·博世,C·艾劳德,L·佩里斯,P·德拉格朗热
申请号:CN201880084373.8
申请日:20181026
公开号:CN111655850A
公开日:
20200911
专利内容由知识产权出版社提供
摘要:通过使用有效的独特的不可逆抑制剂的化学蛋白质组学,发明人发现主要脑微管蛋白羧肽酶(TCP)是血管抑制素‑1(VASH1)与小血管抑制素结合蛋白(SVBP)的复合物。
当与SVBP复合
时,VASH1及其同源物血管抑制素2(VASH2)在微管上表现出稳健而特异的Tyr/Phe羧肽酶活性。
因此,发明人首次鉴定了血管抑制素和血管抑制素/SVBP复合物的酶活性。
敲减培养的神经元中的血管抑制素或SVBP导致酪氨酸化的α‑微管蛋白水平显著降低,并出现严重的分化缺陷。
此外,敲减血管抑制素破坏发育中的小鼠新皮层中的神经元迁移。
这些结果将血管抑制素/SVBP复合物鉴定为TCP 酶。
因此,本发明涉及使用血管抑制素或血管抑制素/SVBP复合物活性或表达的抑制剂来治疗微管蛋白羧肽酶(TCP)相关的疾病如神经疾患和心血管疾病的方法和药物组合物。
申请人:国立健康与医学研究所,格勒诺布尔阿尔卑斯大学,原子能与替代能源委员会,法国施维雅药厂
地址:法国巴黎
国籍:FR
代理机构:北京市中咨律师事务所
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a r X i v :q u a n t -p h /0304203v 1 30 A p r 2003Spin-dependent Bohm trajectories associated with anelectronic transition in hydrogenC.Colijn and E.R.VrscayDepartment of Applied MathematicsUniversity of WaterlooWaterloo,Ontario,Canada N2L 3G1February 1,2008AbstractThe Bohm causal theory of quantum mechanics with spin-dependence is used to determine electron trajectories when a hydrogen atom is subjected to (semi-classical)radiation.The transition between the 1s ground state and the 2p 0state is examined.It is found that transitions can be identified along Bohm trajectories.The trajectories lie on invariant hyperboloid surfaces of revolution in R 3.The energy along the trajectories is also discussed in relation to the hydrogen energy eigenvalues.PACS Nos:3.65.Bz Keywords:de Broglie-Bohm quantum mechanics,causal interpretation Short Title:Spin-dependent Bohm trajectories1IntroductionIn the de Broglie-Bohm causal interpretation of quantum mechanics[1,2,3],as opposed to the standard“Copenhagen”interpretation,particles are endowed with well-defined trajec-tories x i(t)that are determined by the wavefunctionψ(x,t)of the quantum system being studied.A compatability with the statistical results of quantum mechanics is achieved by assigning an uncertainty in the initial conditions of the particles according to the probability density functionρ(x,0)=|ψ(x,0)|2.The causal interpretation continues to receive attention as a way of addressing the ques-tion of the incompleteness of standard quantum mechanics(see,for example,[4,5]).Re-cently,however,causal trajectories have been playing a more significant role in practical calculations of chemical physics and quantum chemistry,for example(to name only a few references),quantum tunnelling dynamics[6],nonadiabatic transitions[7],reactive scatter-ing[8],dissociation dynamics[9]and hybrid classical/quantum schemes to study complex systems[10].Bohm himself[1]introduced the idea of studying transitions in terms of the causal in-terpretation,examining the Franck-Hertz experiment and the photoelectric and Compton effects.He attempted to show that the seemingly discontinuous and poorly defined transfers of energy and momentum in transitions could be accounted for in a continuous matter by means of the“quantum potential”that arises in the causal formalism.More recently in this vein,Dewdney and Lam[11]studied transitions of(spinless)particles in a one-dimensional infinite square well potential.In this paper we employ the de Broglie-Bohm deterministic approach to study the problem of a1s-2p electronic transition in hydrogen induced by an oscillating(semiclassical)electromagneticfield,taking the spin of the electron into account.It is instructive to review briefly the main ideas of the causal interpretation.First,the wavefunctionψfor a particle is written in the formψ(x,t)=R(x,t)e iS(x,t)/ ,(1) where R and S are real-valued.Substitution of Eq.(1)into the time-dependent Schr¨o dingerequation,i ∂ψ2m∇2ψ+Vψ,(2)yields the following coupled equations in R and S:∂R2m =0(3)and∂S2m+V+Q=0,(4)whereQ=− 2R(5)is called the quantum potential.Eq.(3)is the standard continuity equation of quantum mechanics.It can be viewed as governing the evolution of a compressible,irrotationalfluidwith densityρ=ψ∗ψ=R2and velocity v=∇S/m as,indeed,was done by Madelung [12].Eq.(4)has the same form as the classical Hamilton-Jacobi equation for a particle that moves under the influence of potentials V and Q.Bohm’s unique interpretation of these equations was that the particle has a well-defined trajectory defined by the quantum equation of motionp=m˙x=∇S.(6) As stated earlier,compatability with standard quantum mechanics is achieved by viewing the initial conditions of trajectories as“hidden variables”with associated uncertainties as described by the probability distributionρ(x,0).Recall that the Schr¨o dinger current j associated with the wavefunctionψis given by[13]j=mρp.(8)The momentum defined in Eq.(6)is not unique in generating the same statistical predictions as quantum mechanics.Holland[14]has shown that Eqs.(6)and(8)apply only to spinless particles.For particles with spin,an additional term is necessary in order that the Schr¨o dinger equation of motion be consistent with a relativistic formulation.The condition of Lorentz invariance implies that the momentum of a particle with spin s,even in the non-relativistic limit,must be given byp=∇S+∇logρ×s.(9)The associated currentj=1m∇ρ×s,(10)has been referred to as the Pauli current,the nonrelativistic limit of the Dirac current, as opposed to Eq.(8)which is the nonrelativistic limit of the Gordon current[15,16, 17].Consistency with Dirac theory requires that the Schr¨o dinger equation be regarded as describing an electron in an eigenstate of spin[15].As regards the causal interpretation,the spin-dependent term was also discussed in[2]but only for the Pauli equation and not the Schr¨o dinger equation.In the case of a hydrogen atom,the momentum equation(6)predicts that an electron in any real eigenstate will be stationary since∇S=0.This counterintuitive result no longer applies when Eq.(9)is used.For example,consider an electron in the1s ground eigenstatewith wavefunctionψ100=1πa3e−r/a,(11)where a= 2/(me2)is the Bohr radius.Also assume that the electron is in a definite spin eigenstate so that its spin vector is given by s=∇logρ×s in Eq.(9)implies that the electron’s polar coordinates r andθare constant and that the angleφevolves in time as[3,18]dφmar.(12)Therefore,the electron revolves about the z-axis at a constant angular velocity.We also state,for future reference,the result for an electron in the(real)2p0eigenstateψ210=132a5re−r/2a cosθ,(13)again with spin vector s=dt =2k(the“α”or“spin up”state)as it undergoes a transition from the1s to2p0state in hydrogen due to the presence of an oscillating electricfield.We may assume that the electron has constant spin vector since the hamiltonian describing the atom in thefield (see next section)is spin-independent.The wavefunction of the electronΨ(x,s,t)may then be written as the tensor productψ(x,t)ζ(s)whereζ(s)is assumed to be an eigenfunctionof the commuting spin operatorsˆS2andˆS z,withˆS2ζ=32ζ.As such,theremainder of our discussion may simply be focussed on the evolution of the spatial portion of the wavefunction,ψ(x,t)according to Eq.(2).As in the case of the examples listed above,the momentum term∇logρ×s will be responsible for the revolution of the electron about the z-axis.This is accompanied by a complicated motion over a hyperboloid surface of revolution that is determined from the functional forms of the1s and2p0wavefunctions.Moreover,the course of the transition from the ground state to the excited state can be characterized by looking at the energy of the electron along the trajectory and the angular velocity of the revolution about the z-axis. The energy andφ-angular velocity of the electron evolve from1s ground state values to2p excited state values.In[18],as a precursor to this study,we examined the trajectories dictated by Eq.(9) for an electron with spin vector s=Many of the qualitative features of the1s-2p0transition problem studied below are captured by this model,most notably the invariant hyperboloid surfaces of revolution on which trajec-tories lie.As expected,however,the more detailed time evolution of the electron trajectories over these surfaces due to the oscillatingfield is missing.2Solution of the transition problemThe hamiltonian used to describe this transition will have the formˆH=ˆH0+ˆH′,whereˆH0is the hydrogen atom hamiltonian andˆH′represents an oscillating electricfield E=E0cosωt k. It can be shown[19]that ifωis chosen to be sufficiently close to the1s-2p transition frequencyE2−E1ω0=qzE0e−iωt,(18)2since the term i(ω+ω0)−1sinωt is negligible.Here,q denotes the electric charge and ω0≈1.549×1016s−1.This approach allows the equations for the wavefunction co-efficients to be solved exactly so that perturbation methods need not be employed.The closeness ofωtoω0also allows the transition probability to approach unity at various times rather than remaining small for all times.The probability of transition between two states|ψ1 and|ψ2 is related to the matrix element ψ2|ˆH′|ψ1 .In the case of the hydrogen atom the only nonvanishing matrix element is between the ground stateψ100and the2p0stateψ210:ψ100|ˆH′|ψ210 =− ψ100|qE0r cosθ|ψ210 12V12V122These DEs can be solved exactly to givec a(t)=σ+Ω2i(Ω−σ)t+σ−Ω2i(Ω+σ)t,c b(t)=ν2i(Ω−σ)t−ν2i(Ω+σ)t,(22)whereΩ=ω0−ω,ν=V12Ω2+ν2.(23)The wavefunctionψ(x,t)may now be written explicitly asψ(x,t)=1πa3c a(t)e−r/a e−iE1t/ +132πa5c b(t)re−r/2a cosθe−iE2t/ .(24)To compute the momentum according to Eq.(9),note that the wave function,and hencefirst term∇S,has onlyˆr andˆθcomponents.Since we are assuming a constant spin vector s=2σcosθe−3r/2a(1+rD(r,θ,t),pˆθ=νβD(r,θ,t),(25)whereβ=4√σsinω0t+Ω2σ2(σ2+Ω2+ν2cosσt)+β2r2e−r/a cos2θν2σβre−3rσcosω0t−Ωψ∗ψ ,we find the ˆφcomponent of the momentum to be p ˆφ= ββa|c a |2e −2r/a +β|c b |2cos 2θe −r/a r (1−r 2a )T ′(t ),χθ=−β|c b |2e −r/a sin θcos θr −e −3r/2a sin θT ′(t )andT ′(t )=νσcos ω0t −Ωa ,τ=ω0t.(31)In these variables,Eqs.(25)and (29)give rise to the following system of differential equations in ξ,θ,and φas functions of τ:dξ3√2) ˜T (τ)dτ=ν2σsin θe −3ξ/2D dφ3√dτ=p φmaω0=8dθ=−ξ 1+ξA sin θ−1,A =2+ξ0where ξ0=ξ(0)and θ0=θ(0).This relation defines a family of hyperbolae in vertical planes that contain the z -axis.i.e.,φ=φ0,a constant.(Note that the right hand side of Eq.(33)isdetermined bythefunctionalforms of the 1s and 2p 0wavefunctions.Other allowable pairs of wavefunctions will yield different types of curves.)The solutions of Eq.(32)therefore lie on surfaces that are obtained by rotating these hyperbolae about the z -axis (see [18]for a more detailed discussion).However,the time-dependent behaviour of the trajectories lying on these invariant sets must be determined numerically.3Numerical resultsIn choosing the parameters for the numerical integration,there are various factors that must be taken into account.First,recall that in order to use the hamiltonian ˆH′=−1Ω2+ν2so that|ν|2Ω2σ 2sin 2σΩ2+ν2cannot be more than several orders of magnitude smaller than ωo and3.we cannot increase σby increasing Ω,because we require that Ω O (1013).With these points in mind,the parameters have been chosen as follows:E 0=8.8×107V/m ,Ω=1.55×1012s −1,(36)Figure1:Trajectory of electron in R3during1s-2p0transition:ξ(0)=4,θ(0)=1so thatν=−5.1×1012,σ=5.32×1012.(37)The results of numerical integration for two choices of initial conditions are shown in Figs.(1)and(2).Figs.(3)and(4)show the same trajectories split overfive consecutive time intervals.In these latter plots,the hyperboloid surfaces of revolution on which the trajectories lie,described at the end of the previous section,are discernable.In standard semiclassical treatments of this problem(see,for example,[13],pp.282-285), the maximum probability of transition occurs when sin212σt=1,orσt=(2k+1)πfor k=0,1,2,....In other words,the dependence onΩis replaced with one onσ=√Figure2:Trajectory of electron in R3during1s-2p0transition:ξ(0)=3.2,θ(0)=2first rescale the1s and2p0angular velocities inφ,cf.Eqs.(12)and(14),in order to assess the numerical results.For the1s state,Eq.(12)becomesdφma2ω0ξ=8-5-4-3-2-112345-5-4-3-2-1123451.522.533.544.5(a)τ=0−1469-5-4-3-2-112345-5-4-3-2-1123451.522.533.54(b)τ=1469−2992-5-4-3-2-1123-5-4-3-2-11234522.22.42.62.833.23.4(c)τ=2992−4844-4-3-2-1123-4-3-2-112342.32.42.52.62.72.82.933.1(d)τ=4844−7196-4-3-2-1123-4-3-2-112342.552.62.652.72.752.82.852.9(e)τ=7196−10000Figure 3:Trajectory of electron in R 3during 1s -2p 0transition,split over five time intervals:ξ(0)=4,θ(0)=1-5-4-3-2-112345-5-4-3-2-112345-3.5-3-2.5-2-1.5-1-0.5(a)τ=0−1469-5-4-3-2-112345-5-4-3-2-112345-3.5-3-2.5-2-1.5-1-0.5(b)τ=1469−2992-4-3-2-1123-4-3-2-11234-3-2.5-2-1.5-1-0.5(c)τ=2992−4844-4-3-2-1123-4-3-2-11234-2.8-2.6-2.4-2.2-2-1.8-1.6-1.4-1.2-1(d)τ=4844−7196-4-3-2-1123-4-3-2-11234-2.5-2.4-2.3-2.2-2.1-2-1.9-1.8-1.7-1.6-1.5-1.4(e)τ=7196−10000Figure 4:Trajectory of electron in R 3during 1s -2p 0trajectory,split over five time intervals:ξ(0)=3.2,θ(0)=2Figure5:Scaled angular velocity dφThe usual expectation value of an observableˆA is<ˆA>= ψ|ˆA|ψ = ψ∗ˆAψd3xψ∗ψ.(39)Tofind the local energy expectation value along the trajectory,we compute this quantity using the hamiltonianˆH=ˆH0+ˆH′where,as before,ˆH0is the usual hydrogen hamiltonian, andˆH′=−1ψ∗ψ=Re{ψ∗ˆH0ψ}ψ∗ψ,(40)whereψ(x,t)is given by Eq.(20).Note that the relationship to the classical energy is not direct;this local energy expectation value is not afirst integral of motion,simply a quantity whose average,over trajectories,yields the quantum mechanical energy expectation value. Here we will refer to it as the local energy.After some manipulations,thefirst term in Eq.(40)is given byRe{ψ∗(ˆH0)ψ}ψ∗ψand the second term is simplyRe{ψ∗ˆH′ψ}2eE0e−iωt(r cosθ)ψ)}2eE0r cosθcosωtwhere,referring to Eq.(30),Re{c a c b e−iωt}=νσcosω0t−Ωψ∗ψ−1Figure7:Energy(eV)along the trajectory in Fig.(1)of these points because of the extra oscillating perturbationˆH′that represents the semi-classical radiationfield.The spike in the energy corresponds to a point along the trajectory that approaches a zero of the wavefunction.Intuitively,one can understand the appearance of such a spike because the electron cannot spend time in regions whereψ∗ψis very small –it receives a‘kick’from the quantum potential which corresponds to a sudden rise in its energy.Plots of the quantum potential for several systems and a discussion are given in Holland[3]and references within,for example,[20,21].The energy along the trajectory shown in Fig.(2)is shown in Fig.(8).Finally,we mention that we have computed trajectories to higher times.Atτ≈18000, the scaled angular velocity dφ/dτis observed to oscillate about the1s value.The energy is also observed to oscillate about the1s value of-13.6eV.This is in accordance with |c b(τ)|2≈0from Eq.(35)and the values of the parameters used in the calculation.We conclude that the transition has reversed and that the electron has returned to the1s ground state.4Concluding remarksWe have studied the problem of a simple1s to2p0electronic transition in hydrogen–induced by an oscillating(semiclassical)radiationfield–in terms of the causal interpretation of quantum mechanics.In contrast to Bohm’s original formulation p=∇S,however,we have employed an additional spin-dependent term∇logρ×s in the equation of motion,where ρ=ψ∗ψ.The electron is assumed to be in a“spin up”eigenstate,with associated spinvector s=Figure8:Energy(eV)along the trajectory in Fig.(2)quite complex due to the quasiperiodic nature of the equations of motion which,in turn,arise from the interplay of the1s-2p transition frequencyω0,the frequencyωof the oscillating radiation and E0,thefield strength.As the electron moves over the invariant surface it also revolves about the z-axis due to the spin-dependent momentum term.The progress of the transition can be tracked by observing the local energy E and the angular velocity˙φof the electron.Beginning at values associated with the1s ground state,both quantities are seen to evolve toward values associated with the2p0excited state in time.The causal interpretation has offered a way to examine the phenomenon of transition which is not limited to computing the probabilities of measuring E1and E2at various times after the perturbation has been turned off.AcknowledgmentsWe gratefully acknowledge that this research has been supported by the Natural Sciences and Engineering Research Council of Canada(NSERC)in the form of a Postgraduate Scholar-ship(CC)and an Individual Research Grant(ERV).CC also acknowledges partialfinancial support from the Province of Ontario(Graduate Scholarship)as well as the Faculty of Math-ematics,University of Waterloo.References[1]D.Bohm,A suggested interpretation of the quantum theory in terms of“hidden”vari-ables I/II,Phys.Rev.A85,166/180(1952).[2]D.Bohm and B.J.Hiley,The Undivided Universe:An Ontological Interpretation of Quantum Theory,Routledge,London,New York,1993.[3]P.Holland,The Quantum Theory of Motion:An Account of the de Broglie-Bohm Causal Interpretation of Quantum Mechanics,Cambridge University Press,Cambridge(1993).[4]A.Afriat and F.Selleri,The Einstein,Podolsky and Rosen Paradox in Atomic,Nuclear and Particle Physics,Plenum Press,NY(1999).[5]J.T.Cushing,A.Fine and S.Goldstein,Bohmian Mechanics and Quantum Theory:An Appraisal,Kluwer Academic Publishers,Dordrecht(1996).[6]E.Bittner,Quantum tunneling dynamics using hydrodynamic trajectories,J.Chem. 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