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This study aimed to develop an educational program to improve the public’s knowledge and awareness about the use of medicines. Pre- and post-intervention studies were conducted to assess the impact of an educational intervention program on the use of medicines among the general public. Adult people over 18 years old who were using medicines at the time of the study or in the past month prior to the study were included. A convenience sampling method was used to invite the people to participate in a health education program in their household area in the State of Penang. This study showed that there was inadequate knowledge about some aspects of using medicines, with a mean score of 5.66 ± 2.39 out of 10 points. In addition, most of the participants have poor awareness about the role of pharmacists in drug management, with a mean score of 2.40 ± 1.73 out of 5 points. The mean score of knowledge and awareness was significantly increased after the educational intervention to 8.64 ± 1.65 and 4.12 ± 0.97, respectively. Educational intervention was useful, especially when it was followed by effective patient counselling to improve the knowledge and awareness about the use of medicines among medicine users.

Purpose This paper aims to develop a theoretical method to analyze the rotation accuracy of rotating machinery with multi-support structures. The method effectively considers the geometric errors and assembly deformation of parts. Design/methodology/approach A method composed of matrix and FEA methods is proposed to do the analysis. The deviation propagation analysis results and external loads are set as boundary conditions of the model which is built with Timoshenko beam elements to calculate the spatial pose of the rotor. The calculation is performed repeatedly as the rotation angle increased to get the rotation trajectories of concerned nodes, and further evaluation is done to get the rotation accuracy. Additionally, to get more reliable results, the bearing motion errors and stiffness are analyzed by a static model considering manufacturing errors of parts. Findings The feasibility of the proposed method is verified through a case study of a high-precision spindle. The method reasonably predicts the rotation accuracy of the spindle. Originality/value For rotating machinery with multi-support structures, the paper proposes a modeling method to predict the rotation accuracy, simultaneously considering geometric errors and assembly deformation of parts. This would improve the accuracy of tolerance analysis.

ObjectivesThis study aimed to explore the diagnostic significance of 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/CT for predicting the presence of epidermal growth factor receptor (EGFR) mutations in patients with non-small cell lung cancer (NSCLC).DesignA systematic review and meta-analysis.Data sourcesThe PubMed, EMBASE and Cochrane library databases were searched from the earliest available date to December 2020.Eligibility criteria for selecting studiesThe review included primary studies that compared the mean maximum of standard uptake value (SUVmax) between wild-type and mutant EGFR, and evaluated the diagnostic value of 18F-FDG PET/CT using SUVmax for prediction of EGFR status in patients with NSCLC.Data extraction and synthesisThe main analysis was to assess the sensitivity and specificity, the positive diagnostic likelihood ratio (DLR+) and DLR−, as well as the diagnostic OR (DOR) of SUVmax in prediction of EGFR mutations. Each data point of the summary receiver operator characteristic (SROC) graph was derived from a separate study. A random effects model was used for statistical analysis of the data, and then diagnostic performance for prediction was further assessed.ResultsAcross 15 studies (3574 patients), the pooled sensitivity for 18F-FDG PET/CT was 0.70 (95% CI 0.60 to 0.79) with a pooled specificity of 0.59 (95% CI 0.52 to 0.66). The overall DLR+ was 1.74 (95% CI 1.49 to 2.03) and DLR− was 0.50 (95% CI 0.38 to 0.65). The pooled DOR was 3.50 (95% CI 2.37 to 5.17). The area under the SROC curve was 0.68 (95% CI 0.64 to 0.72). The likelihood ratio scatter plot based on average sensitivity and specificity was in the lower right quadrant.ConclusionMeta-analysis results showed 18F-FDG PET/CT had low pooled sensitivity and specificity. The low DOR and the likelihood ratio scatter plot indicated that 18F-FDG PET/CT should be used with caution when predicting EGFR mutations in patients with NSCLC.

The performance of high-speed and high-precision machine tool spindle is quite sensitive to the variation of system parameters. How to accurately predict the influences of key parameters on spindle characteristics is important for designers to achieve required machining accuracy. In the assembly of spindle system, the interference fit, which is always used to connect bearing and shaft, affects the performances of spindle system directly. Therefore, the quantitative investigation on the effects of interference fit on spindle characteristics are of great practical significance. In this paper, the effect mechanism of interference fit on spindle bearing system is explored and used to modify the analytical spindle bearing model. Firstly, the internal geometric relationships among the assembly bearing parts and shaft is analyzed under the influence of assembly deformation and centrifugal expansion. Then, the static and dynamic characteristics of spindle bearing system, including the bearing stiffness, maximum loosing speed, spindle stiffness as well as modal characteristics, are predicted under different interference fit values based on the modified spindle bearing model. The results show that the interference fit will stiffen the bearing and spindle system and result in obvious increments on bearing stiffness, spindle stiffness as well as the natural frequencies. A specially designed spindle test rig is built to verify the simulation results, and the variation of spindle stiffness and natural frequencies are measured under different interference fit values. The maximum error of the system natural frequencies between the analytical results and the experimental data is 7.36%, which confirmed the accuracy of the proposed analytical model.

The dc links of the three-level neutral-point-clamped (3L-NPC) converter are needed to work in imbalanced state in some special fields, and a hybrid pulsewidth modulation (PWM) strategy in this case is studied in this paper. The proposed strategy is a combination of the space-vector PWM and carrier-based modulation (CBM) method. The characteristic of the revised space-vector diagram (RSVD) with unbalanced dc links is studied from a new perspective, and based on it, a novel sector distribution method is proposed to identify the utilized switching sequences. Instead of calculating the durations of the adopted space vectors in the asymmetrical and complicated RSVD, the proposed strategy adopts the CBM with well-calculated injected zero-sequence voltage (IZSV) to produce the pulses directly. The IZSV calculating methods to realize the asymmetric control of dc-link voltages for both the continuous and discontinuous PWM are studied in detail. Simulated and experimental results are given to validate the effectiveness.

Traditional low-order regional Markov Random Fields (MRF)model is difficult to accurately describe the global connectivity of complex natural images and often leads to the over-smoothing of the segmentation results. To solve this problem, a high-order MRF image segmentation model with robust local spatial information is proposed. Firstly, the proposed model introduces the local spatial relationship of the image by using the Hamming distance between the neighborhood pixels in the local region, then establishes a weighted Gaussian mixture likelihood feature between the label space and the pixel intensity field, which provides the local spatial consistency constraint; Secondly, the spatial global constraint relationship of the far away distance is introduced based on the Robust $\mathrm{P}^{n}$ model, and the regional label consistency constraint of the MRF image segmentation model is established. Finally, based on Bayesian theory, a high-order MRF energy model with robust local spatial information for image segmentation is proposed, and the proposed model is optimized by Gibbs sampling algorithm. Compared with Traditional low-order regional MRF model, experimental result shows that the proposed model can provide a better segmentation.

In this clinical study, we have compared routine diagnostic dose131I scan andTcO4-99mthyroid scintigraphy with therapeutic dose131I imaging for accurate thyroid remnant estimation after total thyroidectomy. We conducted a retrospective review of the patients undergoing total thyroidectomy for differentiated thyroid carcinoma (DTC) and subsequently receiving radioactive iodine (RAI) treatment to ablate remnant thyroid tissue. All patients had therapeutic dose RAI whole body scan, which was compared with that of diagnostic dose RAI,TcO4-99mthyroid scan, and ultrasound examination. We concluded that therapeutic dose RAI scan reveals some extent thyroid remnant in all DTC patients following total thyroidectomy. Diagnostic RAI scan is much superior to ultrasound andTcO4-99mthyroid scan for the postoperative estimation of thyroid remnant. Ultrasound andTcO4-99mthyroid scan provide little information for thyroid remnant estimation and, therefore, would not replace diagnostic RAI scan.

Public buildings have large indoor personnel flow changes and complex backgrounds. Due to the large lag of air-conditioning systems, such systems in public buildings have difficulty adjusting to changes in indoor loads, resulting in untimely system control, poor thermal control of buildings' internal environments, and energy waste. This paper proposes a real-time estimation method of building space personnel load and an air-conditioning predictive control strategy by integrating image information. First, deep learning image detection technology is applied to establish an end-to-end building space personnel load dynamic estimation model based on a convolutional neural network. The model is employed to realize the real-time detection of the number of indoor personnel and estimate changes personnel load. Second, to propose air-conditioning prediction control strategies introduce personnel occupancy load control factors, predict the indoor temperature change trend caused by load changes, provide compensation for the control system adjustment amount, improve the indoor environment quality problems caused by large lag under conventional control methods, adjust the cooling energy supply of air conditioning systems, and reduce energy consumption. Finally, the simulation experiment involving a student activity center and a small office building is carried out and the results are analyzed. Simulation results show that: the predictive control strategy proposed in this paper can better maintain environmental stability in a building, can respond more rapidly and has greater energy-saving potential.

This paper shows the energy consumption distribution of current data center, presents some effective energy-saving measures to reduce the energy consumption of a cloud computing data center. Raise an effective way to optimize the air distribution of the data center such as sealing the cold passageway. Through the use of ADU can solve the local overheating inside the equipment cabinet. The use of the modularization UPS, the high-voltage direct current technology and harmonic suppression can improve the efficiency of the power supply system.

The electron beam evaporation deposition method was employed to prepare scandium oxide(Sc2O3) films with substrate temperatures varying from 50 to 350 ℃. A spectrophotometer, a glancing incidence X-ray diffraction spectrometer and a WYKO optical profilograph were employed to investigate the optical, microstructure properties and surface roughness of the Sc2O3 films. The refractive index and the extinction coefficient were calculated from the transmittance and reflectance spectra with the help of the Essential Macleod. The laser induced damage threshold(LIDT) of the Sc2O3 films was characterized by a pulsed Nd:YAG laser system at 355 nm with a pulse duration of 8 ns. A maximum value of 2.6 J/cm2 was derived, and t

Since bearing configuration has significant influence on the spindle modal characteristics which can reflect the dynamic performance of spindle system in machine tools, so it would be of extraordinary importance and necessity to analyze the spindle modal characteristics through simulation and experiment when it comes to designing spindle system. In this paper, the number and span of bearings, the spacer of bearing set and the overhang of spindle are considered as the main designing parameters of the spindle system. Firstly, a coupled spindle-bearing model is established considering the radial deformation of the bearing inner ring caused by interference fits of spindle assembly, as well as the centrifugal and thermal deformations. Based on the model, the modal characteristics of different bearing configurations are analyzed. Secondly, a spindle test bench is designed and constructed. Finally, modal characteristics of the spindle system are tested with different bearing configurations. From the simulation and experimental results, it’s indicated that there is a correlation between the natural frequency and the number of bearings. The using of short spacer inside the bearing set can increase spindle natural frequency slightly. Besides, the first natural frequency of the spindle system rises with the bearing span, whereas the second one tends to decrease. And shortening the overhang of spindle can also increase its natural frequencies, which can be taken into account in spindle design.Copyright © 2014 by ASME

Loopy belief propagation (LBP) algorithm over Pairwise-connected Markov random fields (MRF) has become widely used for low-level vision problems. However, Pairwise MRFs are often insufficient to capture more expressive priors, and LBP is still extremely slow for application on MRFs with large discrete label space. To solve these problems, a new segmentation algorithm combining ant colony and loopy belief propagation is proposed in this paper. Based on Pairwise MRF, a local interaction region MRF model is constructed. Then ant colony algorithm (ACA) is used to search local optimal label in every local region and to prune the label space for each pixel. Finally the loopy belief propagation algorithm is applied to transfer the local optimal result to adjacent region. This process is iterated until convergence. Compared with some previous algorithms, the proposed algorithm generates more accurate segmentation results and also more speed, because the proposed algorithm utilizes the local optimal result as the propagated messages between nodes in MRF, and uses adaptive label pruning scheme to reduce the number of labels for each pixel, Experimental results on a wide variety of images have verified the effectiveness of the proposed algorithm.

According to the application requirements and the design problems of the UAV(Unmanned air vehicle) data recorder, this paper puts forward a solid multi-channel highspeed dynamic airborne data recorder. Based on the design scheme of the data recorder which takes the SOPC(System On Programmable Chip) as the hardware platform and the NAND FLASH as the storage medium, the system can reduce its size and weight effectively while ensure the performance of impact-resistance and data capacity, so that it particularly applies to the minor UAV. Adopting the FPGA hardware logic to implement the multi-channel parallel data acquisition such as pluse data acquisition and serial data acquisition, the system improves the whole system in speed and efficiency. Because of taking the UFFS as the FLASH file system, the memory demands are greatly reduced as well as the startup speed is improved. At the mean time, the accidental data loss caused by power failure is well avoided, so that the reliability and the stability are greatly improved. Through performing tests, the results show that the system can run smoothly and all the demands of the tests are met.

Polygonal approximation is an important issue in pattern recognition and image processing. A new approach for polygonal approximation of shape contours based on genetic algorithm (GA) is proposed. The goal of feature preservation is proposed definitely at first time. Two combined objective measures are also proposed, which are simple to be calculated and do good work on different types of shape contours. Moreover, special policies for initialization and genetic operators are proposed to improve the quality of optimization. The experimental results confirmed that the proposed combined measures for feature preservation are better than ISSE (integral summed square error) which is most frequently used by other approaches for optimization of polygonal approximation.

Objective To evaluate the effect of comprehensive intervention to the prognosis of depressive and/or anxiety symptoms in future. To provide a reasonable and reliable intervention instrument to treat ACS patients. Methods To select acute coronary syndrome with anxious and/or depressive symptoms patients 268 examples, all patients were divided into the intervention group 134 examples and the control group 134 examples. On the base of conventional therapy, Patients of intervention group received comprehensive intervention (health education, exercise, psychological relaxation et al ). Before the intervention and after follow-up test the HADS, to follow up with the patients to observe the dynamic change of emotion. The state of anxiety and depression in all patients were analysed according to psychological test scale. Results 1. Total 256 example patient include the intervention group (n=130) and the control group (n=126), after giving the treatment has carried on at least two times evaluation. Because loses the revisit 6 examples, died 4 examples, uncompliant patients 6 examples, completed finally experiments 240 examples. 2. Comparing two group9s emotion in the two group patients respectively at baseline and after intervention. The HADS scores carried on the difference examination separately: Before the comprehensive intervention, the intervention group9s HAD-a, HAD-d, HAD-t are 8.92±3.72, 8.73±3.41, 17.68±3.72 respectively, the control group9s scores are 8.67±3.13, 8.52±3.06, 17.47±3.27 respectively, p>0.05; After intervention, for the invention group, HAD-a, HAD-d, HAD-t are 5.82±1.41, 6.84±1.86, 11.93±1.59; The control group9s are 6.76±1.31, 7.28±1.58, 13.62±1.36 respectively, p Conclusions For the intervention group patients, comprehensive intervention (Coronary heart disease treatment, Health education, psychological counseling, Relaxation training, taking exercise et al ) may obviously alleviate the anxiety and/or depressive symptoms in ACS patients, it is useful to the prognosis improvement of QOL. 2. On the basis of medication for ACS, for the control group patients, the anxiety and/or depressive symptom has been alleviated to some extent.

Objective Anxiety is thought to be a common symptom in patient s who suffer from acute coronary syndrome (ACS). This study aims to present a general data about the anxiety symptoms in Chinese ACS patients, and evaluate the impact of anxiety symptoms on their quality of life (QOL). Method We enrolled 454 Chinese patient s with ACS from ShangHai, whose baseline data were obtained within 1 week after hospital admission. The subscale of Chinese version of the Hospital Anxiety and Depression Scale (HADS-A) and SF-36 were used to assess anxiety and their QOL, respectively. All the participant s were divided into 2 main groups: HADa ≥6 (n=247) and HADa 0.05). The participants from non-anxiety group had a better QOL than anxiety group (p Conclusion The study confirmed the western notion that anxiety is a common psychosocial problem, which also applies to Chinese patient s diagnosed with ACS. Anxious ACS patients have rather worse quality of life.