1,141 research outputs found

    Parameter Solving of Probability Integral Method Based on Improved Genetic Algorithm

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    The probability integral method (PIM) is the main method for mining subsidence prediction in China. Parameter errors and model errors are the main sources of error in the application of the probability integral method. There are many surface subsidence problems caused by coal mining. In order to improve the accuracy and operating efficiency of the genetic algorithm (GA) in calculating the parameters of the PIM, this paper proposes an improved genetic algorithm (IGA) by adding the dynamic crossover and mutation rate to the traditional GA. Made improvements to the shortcomings of random crossover and mutation rate of all individuals in the population in the original algorithm.Through simulation experiments, it is confirmed that the IGA improves the calculation efficiency and accuracy of the traditional GA under the same conditions.The IGA has higher accuracy, reliability, resistance to gross interference and resistance to missing observation points. This method is obviously superior to direct inversion and conventional optimization inversion algorithms, and effectively avoids the dependence on the initial value of the probabilistic integral method parameter

    A Case Study for Exploring Dental Patients’ Preferred Roles in Taiwan

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    The purpose of this study was to explore the dental patients’ preferred roles in Taiwan. A convenience sample of 66 patients, 26 recruited from one dental clinic, and 40 from one medical center, were interviewed and their preferences for participation in treatment decision making were established using a measurement tool designed to elicit decision-making preferences. Patients’ preferences for participation in treatment decision making were established using Control Preference Scale (CPS) tool. In addition, Unfolding theory provided a means of analyzing the data so that the degree of control preferred by each patient could be established. This study found that nearly 70% clinic patients perceived passive role in treatment decision making whereas 50% patients in medical centre. Further, the collaborative role was most commonly preferred, but an active role was more commonly perceived in clinics than in medical centre. Finally, the implications of the results for patient participation are discussed

    Nonsurjective zero product preservers between matrices over an arbitrary field

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    In this paper, we give concrete descriptions of additive or linear disjointness preservers between matrix algebras over an arbitrary field F\mathbb{F} of different sizes. In particular, we show that a linear map Φ:Mn(F)Mr(F)\Phi: M_n(\mathbb{F}) \rightarrow M_r(\mathbb{F}) preserving zero products carries the form Φ(A)=S(RA00Φ0(A))S1, \Phi(A)= S\begin{pmatrix} R\otimes A & 0 \cr 0 & \Phi_0(A)\end{pmatrix} S^{-1}, for some invertible matrices RR in Mk(F)M_k(\mathbb{F}), SS in Mr(F)M_r(\mathbb{F}) and a zero product preserving linear map Φ0:Mn(F)Mrnk(F)\Phi_0: M_n(\mathbb{F}) \rightarrow M_{r-nk}(\mathbb{F}) with range consisting of nilpotent matrices. Here, either RR or Φ0\Phi_0 can be vacuous. The structure of Φ0\Phi_0 could be quite arbitrary. We classify Φ0\Phi_0 with some additional assumption. When Φ(In)\Phi(I_n) has a zero nilpotent part, especially when Φ(In)\Phi(I_n) is diagonalizable, we have Φ0(X)Φ0(Y)=0\Phi_0(X)\Phi_0(Y) = 0 for all X,YX, Y in Mn(F)M_n(\mathbb{F}), and we give more information about Φ0\Phi_0 in this case. Similar results for double zero product preservers and orthogonality preservers are obtained.Comment: 29 page

    _In vivo_ photoacoustic molecular imaging with simultaneous multiple selective targeting using antibody-conjugated gold nanorods

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    The use of gold nanorods for photoacoustic molecular imaging in vivo with simultaneous multiple selective targeting is reported. The extravasation of multiple molecular probes is demonstrated, and used to probe molecular information of cancer cells. This technique allows molecular profiles representing tumor characteristics to be obtained and a heterogeneous population of cancer cells in a lesion to be determined. The results also show that the image contrast can be enhanced by using a mixture of different molecular probes. In this study, HER2, EGFR, and CXCR4 were chosen as the primary target molecules for examining two types of cancer cells, OECM1 and Cal27. OECM1 cells overexpressed HER2 but exhibited a low expression of EGFR, while Cal27 cells showed the opposite expression profile. Single and double targeting resulted in signal enhancements of up to 3 dB and up to 5 dB, respectively, and hence has potential in improving cancer diagnoses

    The experience and attitude of TMU faculty and researchers toward predatory journals and research productivity

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    A questionnaire related to journal submission was sent to researchers for a 2-week period to investigate the submission status as well as the problems faced by Taipei Medical University faculties and researchers. This study has two major findings including the Experience of predatory journal and Calculations of academic performance point and discuss about users’ cognition and their needs from the library and the university, as well as the library policy and services related to predatory journals. It is authors’ hope that the research results can serve as reference for other medical libraries planning to provide relevant services
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