从古文到有用文字:《古文关键》之“关键”与经典重塑

吕祖谦在突破《精骑》片段选文的困境后,于淳熙元年完成选录古文经典的《古文关键》,成为评点类选本的开山之作。《丽泽文说》与《总论》互有出入,都是吕祖谦与弟子谈文之际见解的笔录,但与《古文关键》没有直接附属关系。《古文关键》之前所附的《要法》,则是《总论》的精简整理本,反映了弟子笔录的条目与《古文关键》相配合的过程。《古文关键》创造性地将标抹符号与文章剖析相结合,开创了要法、总评、尾评、夹评相结合的评注形式,提揭大量时文结构术语,引领了文章评点风气。其立柱一说,是“段子”文字在文章结构上的形式呈现,构成八股文“四比”体式的滥觞。吕祖谦根据科举应试需要,标举“关键”,强调格法,以评点的形式,将古文经典重塑为“有用文字”。狭义的“关键”为章句组织方面的紧要之处与其间奥妙之法,广义的“关键”即“文诀”。吕祖谦文章学思想的新锐性与系统性,使他成为文章学成立时期的中心人物。

高中语文研究性教学中的问题设计

高中语文研究性教学重在培养学生终身学习的习惯，为有个性的学生发展奠定基础，在教学过程中引导学生发现问题、提出问题、解决问题，这就要求实施“问题设计”。关键问题法可以提升高中语文研究性教学的有效性；套环问题法可以促进高中语文课堂学生参与积极性；批判问题法可以渗透高中语文课堂学术研究思想性。

Healthcare Algorithms by Wearable Inertial Sensors: A Survey

Wearable smart devices, such as smart watch, wristband are becoming increasingly popular recently. They generally integrate the MEMS-designed inertial sensors, including accelerometer, gyroscope and compass, which provide a convenient and inexpensive way to collect motion data of users. Such rich, continuous motion data provide great potential for remote healthcare and decease diagnosis. Information processing algorithms play the critical role in these approaches, which is to extract the motion signatures and to access different kinds of judgements. This paper reviews key algorithms in these areas. In particular, we focus on three kinds of applications: 1) gait analysis; 2) fall detection and 3) sleep monitoring. They are the most popular healthcare applications based on the inertial data. By categorizing and introducing the key algorithms, this paper tries to build a clear map of how the inertial data are processed; how the inertial signatures are defined, extracted, and utilized in different kinds of applications. This will provide a valuable guidance for users to understand the methodologies and to select proper algorithm for specifi c application purpose.

GIS-Based Simulation of Engineering Construction Schedule

For its complexity, engineering construction schedule design is limited by various factors.Simulation-based engineering construction schedule takes critical path method (CPM) network as frame and calls complex cyclic operation network (CYCLONE) simulation model enclosed in advance for its simulation nodes. CYCLONE simulation model takes charge of simulating stochastic duration of activity and efficiency of resources, while CPM model performs project scheduling. This combination avoids the shortcomings of both models. Furthermore, geographic information system (GIS) technique is utilized to visualize the construction processes which are otherwise difficult to be understood by static results described. Application in practical project verifies the feasibility and advantage of the technique.

Optimization of air quantity regulation in mine ventilation networks using the improved differential evolution algorithm and critical path method

In mine ventilation networks, the reasonable airflow distribution is very important for the production safety and economy. Three basic problems of the natural, full-controlled and semi-controlled splitting were reviewed in the paper. Aiming at the high difficulty semi-controlled splitting problem, the general nonlinear multi-objectives optimization mathematical model with constraints was established based on the theory of mine ventilation networks. A new algorithm, which combined the improved differential evaluation and the critical path method （CPM） based on the multivariable separate solution strategy, was put forward to search for the global optimal solution more efficiently. In each step of evolution, the feasible solutions of air quantity distribution are firstly produced by the improved differential evolu- tion algorithm, and then the optimal solutions of regulator pressure drop are obtained by the CPM. Through finite steps iterations, the optimal solution can be given. In this new algorithm, the population of feasible solutions were sorted and grouped for enhancing the global search ability and the individuals in general group were randomly initialized for keeping diversity. Meanwhile, the individual neighbor- hood in the fine group which may be closely to the optimal solutions were searched locally and slightly for achieving a balance between global searching and local searching, thus improving the convergence rate. The computer program was developed based on this method. Finally, the two ventilation networks with single-fan and multi-fans were solved. The results show that this algorithm has advantages of high effectiveness, fast convergence, good robustness and flexibility. This computer program could be used to solve lar^e-scale ~eneralized ventilation networks o^timization problem in the future.

An approach for complex activity recognition by key frames

A new method for complex activity recognition in videos by key frames was presented. The progressive bisection strategy(PBS) was employed to divide the complex activity into a series of simple activities and the key frames representing the simple activities were extracted by the self-splitting competitive learning(SSCL) algorithm. A new similarity criterion of complex activities was defined. Besides the regular visual factor, the order factor and the interference factor measuring the timing matching relationship of the simple activities and the discontinuous matching relationship of the simple activities respectively were considered. On these bases, the complex human activity recognition could be achieved by calculating their similarities. The recognition error was reduced compared with other methods when ignoring the recognition of simple activities. The proposed method was tested and evaluated on the self-built broadcast gymnastic database and the dancing database. The experimental results prove the superior efficiency.

Reliability of gas holdup measurements using the differential pressure method in a cyclone-static micro-bubble flotation column

Gas holdup is one of the key parameters in flotation process. Gas holdup as measured by a differential pressure method was investigated and the relative errors compared to the average gas holdup from the volume expansion method. The errors were used to establish optimum measurement positions. The results show that the measurement position should be in the middle of the column and in the region half way from the center to the wall (the half-radius). The gas holdup along the axial direction is lower at the bottom and higher at the top of the floatation column. The gas holdup along the radial direction is lower near the wall and higher near the center of the flotation column. The average gas holdup measure- ment can be replaced by regional gas holdup values.

Conventional radiotherapy followed by IMRT as a boost in combination with chemotherapy treatment for high-grade gliomas:prognostic factors and outcomes

Objective： The aim of the study was to retrospectively evaluate the outcomes and important prognostic factors for patients with high-grade gliomas （HGG） treated with conventional radiotherapy （RT） followed by IMRT as a boost in combination with chemotherapy. Methods： From November 2004 to November 2006, 112 consecutive patients with high-grade gliomas were treated with radiotherapy, which included initial conventional radiotherapy and an IMRT boost to a total dose of 57.5-62.5 Gy, with 27-29 fractions delivered over 37-45 days. All cases received 3-6 cycles of chemotherapy, 63 cases received temozolomide, and another 49 cases received methyI-CCNU and teniposide. The acute and late treatment toxicities and the patterns of treatment failure were recorded. The overall survival （OS） rate and progression-free survival （PFS） rate were calculated, and the prognostic factors were analyzed. Results： Most of the acute radiation reactions were grade 1 or 2. No grade 4 acute reactions were noted. Three cases developed radiation necrosis. Grades Ⅰ, Ⅱ, and Ⅲ myelosuppressions were observed in 5, 32, and 12 cases of 49 patients treated with teniposide and methyl-CCNU, respectively. Grades Ⅰ and Ⅱ myelosuppressions were observed in 15 and 3 of the 63 patients who were treated with temozolomide, respectively. The 57 cases （50.9%） had recurred locally, and 13 cases （11.6%） had intracranial dissemination. The OS rates at 1, 2, and 3 years were 78.9%, 54.7%, and 30.8%, respectively. The PFS rates at 1,2, and 3 years were 63.8%, 38.9%, and 10.5%, respectively. A multivariate analysis showed that only tumor location and KPS were prognostic factors of OS. These same two variables and histopathology were statistically significant predictive factors in a multivariate analysis for PFS. Conclusion： Radiation toxicities were not found to be increased in this retrospective study with 112 consecutive patients of combined modality therapy including an IMRT boost treatment for HGG. Higher rate of local regional dissemination within the brain was observed than before. Tumor location, histopathology and KPS were important prognostic factors.

Cosmological Constraints on the Sign-Changeable Interactions

Recently, Cai and Su [Phys. Rev. D 81 （2010） 103514] found that the sign of interaction Q in＇the dark sector changed in the approximate redshift range of 0.45 ≤ z ≤0.9, by using a modeMndependent method to deal with the observational data. In fact, this result raises a remarkable problem, since most of the familiar interactions cannot change their signs in the whole cosmic history. Motivated by the work of Cai and Su, we have proposed a new type of interaction in a previous work [H. Wei, Nucl. Phys. B 845 （2011） 381]. The key ingredient is the deceleration parameter q in the interaction Q, and hence the interaction Q can change its sign when our universe changes from deceleration （q 〉0） to acceleration （q 〈 0）. In the present work, we consider the cosmologicai constraints on this new type of sign-changeable interactions, by using the latest observational data. We find that the cosmological constraints on the model parameters are fairly tight. In particular, the key parameter β can be constrained to a narrow range.

Keyword Confidence Evaluation Algorithm Based on Word Activation Forces

Many Spoken Term Detection (STD) systems use query expansion to return an increased number of keyword candidates and make posterior probability a confidence feature to reject false alarms. However, some keyword candidates hold high posterior probability although these are not recognized correctly. We investigate the Word Activation Force (WAF) model that compatibly encodes syntactical and semantic information into sparse coding directed networks. A high-level confidence feature Keyword Activation Force (KAF) based on WAF is proposed. KAF can be used for detecting false alarms by considering information about the neighbors to provide a more reliable and accurate keyword affinity. Compared with the baseline system, a relative reduction of 30.94% in average error rate could be achieved when KAF is combined with the posterior probability and the language model score.

Discussion on the mechanisms of BO's abdominal acupuncture therapy

This article discussed the mechanisms and precautions of abdominal acupuncture from three different perspectives. First, the relationship between Shénquè （神阙 CV 8） and zang-fu and eight extra meridians stated in the ancient literature explained that the theory of CV 8 as the theoretical core of abdominal acupuncture therapy had literature support and theoretical evidence; second, with emphasis on the diagnosis and treatment based on differentiation of syndromes, four methods for selecting the points, including the ones according to hologram, meridians and collaterals, the Ba-kuo （八 廓） and three energizer, meanwhile, the origin of method selecting the points according to Three Energizer and clinical experience was also addressed; third, some problems about the manipulation of abdominal acupuncture therapy were put forward, such as selection of depth, direction, needle tool, as well as personal ideas and precautions, in order to ensure the clinical effect.

Simplifying the Nonlinear Continuous Time-Cost Tradeoff Problem

Equivalent simplification is an effective method for solving large-scale complex problems. In this paper, the authors simplify a classic project scheduling problem, which is the nonlinear continuous time-cost tradeoff problem(TCTP). Simplifying TCTP is a simple path problem in a critical path method(CPM) network. The authors transform TCTP into a simple activity float problem and design a complex polynomial algorithm for its solution. First, the authors discover relationships between activity floats and path lengths by studying activity floats from the perspective of path instead of time.Second, the authors perform simplification and improve the efficiency and accuracy of the solution by deleting redundant activities and narrowing the duration intervals of non-redundant activities. Finally,the authors compare our method with current methods. The relationships between activity floats and path lengths provide new approaches for other path and correlative project problems.

Solving Resource-constrained Multiple Project Scheduling Problem Using Timed Colored Petri Nets

To solve the resource-constrained multiple project scheduling problem(RCMPSP) more effectively,a method based on timed colored Petri net(TCPN) was proposed.In this methodology,firstly a novel mapping mechanism between traditional network diagram such as CPM(critical path method)/PERT(program evaluation and review technique) and TCPN was presented.Then a primary TCPN(PTCPN) for solving RCMPSP was modeled based on the proposed mapping mechanism.Meanwhile,the object PTCPN was used to simulate the multiple projects scheduling and to find the approximately optimal value of RCMPSP.Finally,the performance of the proposed approach for solving RCMPSP was validated by executing a mould manufacturing example.

Neurochip based on light-addressable potentiometric sensor with wavelet transform de-noising

Neurochip based on light-addressable potentiometric sensor(LAPS),whose sensing elements are excitable cells,can monitor electrophysiological properties of cultured neuron networks with cellular signals well analyzed.Here we report a kind of neurochip with rat pheochromocytoma(PC12) cells hybrid with LAPS and a method of de-noising signals based on wavelet transform.Cells were cultured on LAPS for several days to form networks,and we then used LAPS system to detect the extracellular potentials with signals de-noised according to decomposition in the time-frequency space.The signal was decomposed into various scales,and coefficients were processed based on the properties of each layer.At last,signal was reconstructed based on the new coefficients.The results show that after de-noising,baseline drift is removed and signal-to-noise ratio is increased.It suggests that the neurochip of PC12 cells coupled to LAPS is stable and suitable for long-term and non-invasive measurement of cell electrophysiological properties with wavelet transform,taking advantage of its time-frequency localization analysis to reduce noise.

A Fast Clonal Selection Algorithm for Feature Selection in Hyperspectral Imagery

Clonal selection feature selection algorithm （CSFS） based on clonal selection algorithm （CSA）, a new computational intelligence approach, has been proposed to perform the task of dimensionality reduction in high-dimensional images, and has better performance than traditional feature selection algorithms with more computational costs. In this paper, a fast clonal selection feature selection algorithm （FCSFS） for hyperspectral imagery is proposed to improve the convergence rate by using Cauchy mutation instead of non-uniform mutation as the primary immune operator. Two experiments are performed to evaluate the performance of the proposed algorithm in comparison with CSFS using hyperspectral remote sensing imagery acquired by the pushbroom hyperspectral imager （PHI） and the airborne visible/infrared imaging spectrometer （AVlRIS）, respectively. Experimental results demonstrate that the FCSFS converges faster than CSFS, hence providing an effective new option for dimensionality reduction of hyperspectral remote sensing imagery.