论依纳爵神操对霍普金斯诗歌中圣礼主义世界观主题的影响

圣礼主义世界观是霍普金斯宗教诗歌的一个最重要主题之一,深受依纳爵神操中相关的原则和教义的影响和塑造。其诗歌中反映出的圣礼主义世界观是被依纳爵神操所塑造和指导的,带有深深依纳爵神操的印迹。霍普金斯的诗歌实际上是赞美、崇敬和侍奉上帝的赞美歌。

依纳爵《神操》及耶稣会灵修研究综述

耶稣会创始人依纳爵·罗耀拉编写的《神操》是基督教西方历史上最重要的灵修经典之一。作为耶稣会灵修传统的核心资源,《神操》不仅铸就了耶稣会士特殊的灵魂面貌,还维系了耶稣会的精神命脉。本文梳理了耶稣会内对于《神操》和修会灵修传统的悠久的传述和研究传统,尤其注重了20世纪,特别是"梵二会议"以来,全球耶稣会乃至天主教外学者在《神操》及耶稣会灵修传统领域所作出的创新性研究和发现。

依纳爵神操与天主教“中国化”——神学资源、历史经验及异域镜鉴

依纳爵神操是耶稣会核心的灵修方法和特重的传教手段,对于天主教"中国化"具有神学的、历史的和比较研究的重要价值。神操以"从万物中找到主"作为"选择"的宗旨和方法,为耶稣会在其全球传教活动中的本地化实践提供了神学的资源。作为耶稣会士海外传教实践中活的世界观与方法论,造就了诸如利玛窦、殷铎泽等来华传教士的成功的文化调适策略,开启了天主教"中国化"的历史进程。"梵二"及其后,以依纳爵神操为核心的耶稣会灵修在整个罗马天主教会的"本地化"潮流中继续发生影响。其中,印度耶稣会神学家在"本地化"神学和比较宗教研究领域的成就和贡献可为天主教"中国化"提供跨宗教、跨文化的有益借鉴。

改良醒神解语操在脑卒中吞咽障碍患者康复训练中的应用

目的探讨醒神解语操改良方案改善脑卒中吞咽障碍患者吞咽功能与生活质量的效果。方法将91例脑卒中吞咽障碍患者随机分为对照组30例、干预1组30例和干预2组31例;对照组实施常规康复训练,干预1组联合醒神解语操训练,干预2组联合改良醒神解语操训练。观察干预前、干预4周后患者吞咽功能、生活质量改善情况。结果干预4周后,三组患者标准吞咽功能评分、生活质量评分及洼田饮水试验级别比较,差异有统计学意义(均P<0.05)。结论实施改良醒神解语操康复训练,能有效改善脑卒中吞咽障碍患者吞咽功能和生活质量。

调神穴位操配合耳穴压豆治疗更年期失眠的临床效果观察

目的分析调神穴位操配合耳穴压豆治疗更年期失眠的临床效果。方法70例更年期失眠患者,通过随机数表法分为对照组及治疗组,各35例。对照组实施耳穴压豆治疗,治疗组实施调神穴位操配合耳穴压豆治疗。对比两组患者治疗前后的改良Kupperman评分及匹兹堡睡眠质量指数(PSQI)评分。结果治疗后,治疗组患者的改良Kupperman评分(17.17±2.16)分低于对照组的(24.71±2.43)分,差异有统计学意义(P<0.05)。治疗后,治疗组患者PSQI评分明显低于对照组,差异有统计学意义(P<0.05)。结论为更年期失眠患者使用调神穴位操配合耳穴压豆治疗后,能够有效提高患者的睡眠质量,并及时改善患者相关临床症状,值得大力推广。

浅谈依纳爵的意识省察(一)

目前关于依纳爵神操的书籍和讲座非常多,而且经验也很丰富,笔者在这里对耶稣会会祖依纳爵编写的《神操》中关于省察的内容,作一浅谈,目的不是带领读者如何具体地操作省察,而是向读者介绍笔者对“省察”一题作浅显的个人理解。以做此省察祈祷的个人经验,“意识省察”在整个“神操”的内容中所占比例不多,但其看似只有几个步骤的内容,却包含着依纳爵灵修的众多特征信息,所以希望借此机会将自己所悟整理出来,为在日常生活中用此省察方式祈祷的弟兄姐妹,提供一些助益。笔者认为与天主相遇的祈祷方式虽然多种多样,但通过“意识省察”的操练,首先人与天主建立和恢复正确关系,即造物主与受造物之间秩序的正确关系,其结果是操练者通过在自己的生活中体验天主的真实临在,对天主产生更真实的信望爱。通过这种祈祷方式,使操练者能“心甘情愿”承认自己是被天主所爱的罪人,继而如果是在神操避静中,则能以更谦逊、孝爱的态度进行接下来的神操,忠诚地追随耶稣,在日常生活里日近于德。另外,圣依纳爵的灵修贯穿整个“神操”,特别以“原则和基础”为主线的“平心”,是行神操者自始至终应当持有的态度。当然其“分辨”更是祈祷中的先要方法之一。笔者也是在“意识省察”部分将依氏的这些灵修特色,按自身理解加以叙述。

INTRODUCTION TO PROF. YANG YUN-KUAN'S THE NEEDLING TECHNIQUE OF MIND REGULATION AND TAOISM CONCENTRATION

The combination of needling technique of Mind Regulation with Taoism Concentration is to promote the propagated sensation along the channels （PSC） and the needling sensation to the affected area in order to activate the potential regulation of human body. Prof. Yang Yun-kuan used this combination to treat some pain diseases, nervous system＇s diseases and intractable chronic diseases and got a better result than the general techniques, This is the introduction to the manipulation of this technique and its clinical application.

NEURAL NETWORK SMITH PREDICTIVE CONTROL FOR TELEROBOTS WITH TIME DELAY

A neural network Smith predictive control strategy is proposed to deal with inpu t and feedback time delays in telerobot systems. The delay time is assumed to b e invariant and unknown. The proposed control structure consists of a slave syst em and a master controller. In the slave system, a recurrent neural network (RNN ) with on-line weight tuning algorithm is employed to approximate the dynamics of the time-delay-free nonlinear plant, which is used to linearize the slave s ystem. The master controller is a Smith predictor for the linearized slave syste m, which provides prediction and maintains the desirable tracking performance. S tability propriety is guaranteed based on the Lyapunov method. A simulation of a two-link robotic manipulator is provided to illustrate the effectiveness of th e proposed control strategy.

Modeling and optimum operating conditions for FCCU using artificial neural network

A self-organizing radial basis function(RBF) neural network(SODM-RBFNN) was presented for predicting the production yields and operating optimization. Gradient descent algorithm was used to optimize the widths of RBF neural network with the initial parameters obtained by k-means learning method. During the iteration procedure of the algorithm, the centers of the neural network were optimized by using the gradient method with these optimized width values. The computational efficiency was maintained by using the multi-threading technique. SODM-RBFNN consists of two RBF neural network models: one is a running model used to predict the product yields of fluid catalytic cracking unit(FCCU) and optimize its operating parameters; the other is a learning model applied to construct or correct a RBF neural network. The running model can be updated by the learning model according to an accuracy criterion. The simulation results of a five-lump kinetic model exhibit its accuracy and generalization capabilities, and practical application in FCCU illustrates its effectiveness.

Capital and Aesthetics＂ How Could People＇s Freedom be Possible under Modem Conditions？

In the age where capital becomes the most dominant, the most manipulating power, the current aesthetics has to face and solve the problems such as ＂capital versus aesthetics＂, ＂matter nature versus mind nature＂, ＂society versus culture＂ and has to answer the follow-up question--＂How could people＇s freedom be possible in modem conditions？＂ The reflections and criticism on ＂capital modernity＂ by Marx, Weber and Simmel all directly pointed to the issues of people＇s value and the settlement of their spirit in the Age of Capital. Meanwhile, the salvation of the ＂aesthetic modernity＂ makes up the proper meaning of the solution in many thinkers＇ mind to the predicament of the age. In this sense, the reflections on the Zeitgeist in the Age of Capital is certainly included in the pursuit of aesthetic freedom in this age.

What Does Pseudo Religion Steal From Traditional Religion Psychologically

The pseudo religion is widely criticized for its theft and manipulation of dogmata and jargon concepts in orthodox religion to pretend to be orthodox religion and to deceive the public. However it is still in the air to expose its specific content, tactics and purpose stolen and tampered psychologically. This paper discusses the importance of establishment and development of pseudo religion through stealing religious mental concepts in traditional religion including ＂God＂, ＂Heaven＂, ＂Hell＂, ＂Soul immortality＂, ＂Morality＂ and ＂Religious feeling＂, and studies its tricks for theft and manipulation, distortion and ultimate purposes. This paper aims at showing people the evil of pseudo religion and integrity of traditional religion.

Optimization of processing parameters for microwave drying of selenium-rich slag using incremental improved back-propagation neural network and response surface methodology

In the non-linear microwave drying process, the incremental improved back-propagation （BP） neural network and response surface methodology （RSM） were used to build a predictive model of the combined effects of independent variables （the microwave power, the acting time and the rotational frequency） for microwave drying of selenium-rich slag. The optimum operating conditions obtained from the quadratic form of the RSM are： the microwave power of 14.97 kW, the acting time of 89.58 min, the rotational frequency of 10.94 Hz, and the temperature of 136.407 ℃. The relative dehydration rate of 97.1895% is obtained. Under the optimum operating conditions, the incremental improved BP neural network prediction model can predict the drying process results and different effects on the results of the independent variables. The verification experiments demonstrate the prediction accuracy of the network, and the mean squared error is 0.16. The optimized results indicate that RSM can optimize the experimental conditions within much more broad range by considering the combination of factors and the neural network model can predict the results effectively and provide the theoretical guidance for the follow-up production process.

Re-operation for parotid gland cancer following non-standard surgical treatment

Objective:The purpose of this study was to analyze the clinical disadvantages of non-standard surgical treatment for parotid gland cancer and probe the re-operative indication following non-standard surgical treatment.Methods: Data of 58 cases suffered parotid gland cancer who received non-standard operation at other hospital and received re-operation in tumor hospital of Ganzhou from June 1998 to October 2010 were retrospectively reviewed.Results: In all cases,parotid gland cancer were residual in 46 cases,the facial nerve remaining rate was 81.0% (47/58),facial nerve branches injury rate was 3.5% (2/58),facial nerve partial resection rate was 8.6% (5/58) and total resection rate was 6.9% (4/58).The sensitivity of residual tumor was 83.3%,scanned by contrast-enhanced CT and the CT positive predictive value was 86.9%. Conclusion: Consideration of the higher residual tumor rate in patients who received non-standard operations,the re-operations were necessary.Contrast-enhanced CT positive predictive value was high for residual tumor and it was important for re-operation.

Function of shoulder muscles of driver in vehicle steering maneuver

In order to study the function of muscles of driver shoulder during vehicle steering, identification of relations between electromyograph (EMG) activity of 10 shoulder muscles and steering force was performed. The procedure was to perform controlled steering maneuver by right hand in a driving simulator, and based on analyzing the EMG data with steering force in the steering wheel plane, the function was identified. It was found that muscle function depends strongly on both steering rotation and steering torque directions. In clockwise steering, the long head of triceps brachii was the prime mover and an important contributor to clockwise moment, while the sternocostal portion of the pectoralis major, the lateral head of triceps brachii, biceps brachii and teres major were the important stabilizers or fixators. In contrast, in counterclockwise steering, the anterior, middle and posterior deltoid, the clavicular portion of the pectoralis major and infraspinatus were the prime movers and also the important contributors to counterclockwise moment, while the sternocostal portion of the pectoralis major, the lateral head of triceps brachii, biceps brachii and teres major were the important stabilizers or fixators. We conclude that the prime movers are primarily a consequence of steering direction, while the stabilizers or fixators are primarily constant. These results can be used to improve the neuromuscular model and estimate the steering comfort of driver.

Control strategy of hybrid fuel cell/battery distributed generation system for grid-connected operation

This paper presents a control strategy of a hybrid fuel cell/battery distributed generation (HDG) system in distribution systems. The overall structure of the HDG system is given, dynamic models for the solid oxide fuel cell (SOFC) power plant, battery bank and its power electronic interfacing are briefly described, and controller design methodologies for the power conditioning units and fuel cell to control the power flow from the hybrid power plant to the utility grid are presented. To distribute the power between the fuel cell power plant and the battery energy storage, a neuro-fuzzy controller has been developed. Also, for controlling the active and reactive power independently in distribution systems, the current control strategy based on two fuzzy logic controllers has been presented. A Matlab/Simulink simulation model is developed for the HDG system by combining the individual component models and their controllers. Simulation results show the overall system performance including load-following and power management of the HDG system.

Behavioral interventions to eliminate fear responses

Fear memory underlies anxiety-related disorders, including posttraumatic stress disorder(PTSD). PTSD is a fear-based disorder,characterized by difficulties in extinguishing the learned fear response and maintaining extinction. Currently, the first-line treatment for PTSD is exposure therapy, which forms an extinction memory to compete with the original fear memory. However,the extinguished fear often returns under numerous circumstances, suggesting that novel methods are needed to eliminate fear memory or facilitate extinction memory. This review discusses research that targeted extinction and reconsolidation to manipulate fear memory. Recent studies indicate that sleep is an active state that can regulate memory processes. We also discuss the influence of sleep on fear memory. For each manipulation, we briefly summarize the neural mechanisms that have been identified in human studies. Finally, we highlight potential limitations and future directions in the field to better translate existing interventions to clinical settings.