钆塞酸二钠磁共振增强成像与增强CT检查对肝脏小局灶性病变的诊断价值

目的:探究钆塞酸二钠磁共振(MRI)增强成像与增强CT检查对肝脏小局灶性病变的诊断价值。方法:选择2019年1月至2020年12月于我院就诊的肝脏小局灶性病变患者110例(共125个小结节),所有患者均行钆塞酸二钠MRI增强成像与增强CT检查,以病理结果作为诊断“金标准”,分析病理检查结果,以及钆塞酸二钠MRI增强成像、MRI检查与增强CT检查在肝脏小局灶性病变中的诊断价值,另计算钆塞酸二钠MRI增强成像、MRI检查与增强CT检查与病理结果的一致性。结果:110例患者中经病理明确良性病变47例,恶性病变63例;钆塞酸二钠MRI增强成像准确度(88.18%)、特异度(85.11%)、灵敏度(90.48%)、阴性预测值(86.96%)、阳性预测值(89.06%)均高于MRI检查(61.82%、59.57%、63.49%、54.90%、67.80%)及增强CT扫描(49.09%、44.68%、52.38%、41.18%、55.93%),有统计学差异(P<0.05);kappa检验显示:钆塞酸二钠MRI增强成像与病理结果的一致性不佳(kappa值=0.228,P=0.016);MRI检查与病理结果的一致性良好(kappa值=0.758,P=0.000);增强CT扫描与病理结果的一致性不佳(kappa值=0.029,P=0.760)。结论:钆塞酸二钠MRI增强成像检查在肝脏小局灶性病变中具有较高的临床应用价值,能够有效提高小局灶性病变检出率,其诊断效能优于常规MRI扫描及增强CT扫描,为临床进一步诊疗提供参考依据,值得推广。

邓小平大局思想简论

邓小平大局思想内容丰富。本文从大局涵义、大局与小局之间的关系、大局的基本要求三个方面来阐述其思想。

Ground-roll separation of seismic data based on morphological component analysis in twodimensional domain

Ground roll is an interference wave that severely degrades the signal-to-noise ratio of seismic data and affects its subsequent processing and interpretation.In this study,according to differences in morphological characteristics between ground roll and reflected waves,we use morphological component analysis based on two-dimensional dictionaries to separate ground roll and reflected waves.Because ground roll is characterized by lowfrequency,low-velocity,and dispersion,we select two-dimensional undecimated discrete wavelet transform as a sparse representation dictionary of ground roll.Because of a strong local correlation of the reflected wave,we select two-dimensional local discrete cosine transform as the sparse representation dictionary of reflected waves.A sparse representation model of seismic data is constructed based on a two-dimensional joint dictionary then a block coordinate relaxation algorithm is used to solve the model and decompose seismic record into reflected wave part and ground roll part.The good effects for the synthetic seismic data and application of real seismic data indicate that when using the model,strong-energy ground roll is considerably suppressed and the waveform of the reflected wave is effectively protected.

LOCAL BAGGING AND ITS APPLICATIONON FACE RECOGNITION

Bagging is not quite suitable for stable classifiers such as nearest neighbor classifiers due to the lack of diversity and it is difficult to be directly applied to face recognition as well due to the small sample size （SSS） property of face recognition. To solve the two problems,local Bagging （L-Bagging） is proposed to simultaneously make Bagging apply to both nearest neighbor classifiers and face recognition. The major difference between L-Bagging and Bagging is that L-Bagging performs the bootstrap sampling on each local region partitioned from the original face image rather than the whole face image. Since the dimensionality of local region is usually far less than the number of samples and the component classifiers are constructed just in different local regions,L-Bagging deals with SSS problem and generates more diverse component classifiers. Experimental results on four standard face image databases （AR,Yale,ORL and Yale B） indicate that the proposed L-Bagging method is effective and robust to illumination,occlusion and slight pose variation.

A One-parameter Filled Function Method for Nonlinear Integer Programming

This paper gives a new definition of the filled function for nonlinear integer programming problem. A filled function satisfying our definition is presented. This function contains only one parameter. The properties of the proposed filled function and the method using this filled function to solve nonlinear integer programming problem are also discussed. Numerical results indicate the efficiency and reliability of the proposed filled function algorithm.

Virtual local target method for avoiding local minimum in potential field based robot navigation

A novel robot navigation algorithm with global path generation capability is presented. Local minimum is a most intractable but is an encountered frequently problem in potential field based robot navigation.Through appointing appropriately some virtual local targets on the journey, it can be solved effectively. The key concept employed in this algorithm are the rules that govern when and how to appoint these virtual local targets. When the robot finds itself in danger of local minimum, a virtual local target is appointed to replace the global goal temporarily according to the rules. After the virtual target is reached, the robot continues on its journey by heading towards the global goal. The algorithm prevents the robot from running into local minima anymore. Simulation results showed that it is very effective in complex obstacle environments.

PD-1/PD-L1 pathway blockade works as an effective and practical therapy for cancer immunotherapy

Cancer immunotherapy has greatly advanced in recent years,and PD-1/PD-L1 blocking therapy has become a major pillar of immunotherapy.Successful clinical trials of PD-1/PD-L1 blocking therapies in cancer treatments have benefited many patients,which promoted the Food and Drug Administration(FDA)approval of PD-1/PD-L1 blocking drugs.In this review,we provide a detailed introduction of five PD-1/PD-L1 blocking drugs,with indications and studies,as a valuable reference for doctors and medical investigators.Moreover,the characteristics of PD-1/PD-L1 blocking therapies,including their universality and sustainability,are discussed in this review.Furthermore,we also discuss and predict the possibility of PD-L1 as an indication marker of PD-1/PD-L1 blocking therapy for pan-cancer treatment,and the current status of combination therapies.

A new kind of wavelet-based method for spectrum deconvolution

To subtract the slit function from the measured spectrum, a wavelet-based deconvolution method is proposed to obtain a regularized solution of the problem. The method includes reconstructing the signal from the wavelet modulus maxima. For the purpose of maxima selection, the spatially selective noise filtration technique was used to distinguish modulus maxima produced by signal from the one created by noise. To test the method, sodium spectrum measured at a wide slit was deconvolved. He-Ne spectrum measured at the corresponding slit width was used as slit function. Sodium measured at a narrow slit was used as the reference spectrum. The deconvolutton result shows that this method can enhance the resolution of the degraded spectrum greatly.

A Coordinate Gradient Descent Method for Nonsmooth Nonseparable Minimization

This paper presents a coordinate gradient descent approach for minimizing the sum of a smooth function and a nonseparable convex function.We find a search direction by solving a subproblem obtained by a second-order approximation of the smooth function and adding a separable convex function.Under a local Lipschitzian error bound assumption,we show that the algorithm possesses global and local linear convergence properties.We also give some numerical tests(including image recovery examples) to illustrate the efficiency of the proposed method.

Measurement of sugar content in Fuji apples by FT-NIR spectroscopy

To evaluate the potential of FT-NIR spectroscopy and the influence of the distance between the light source/detection probe and the fruit for measuring the sugar content (SC) of Fuji apples, diffuse reflectance spectra were measured in the spectral range from 12500 to 4000 cm^-1 at 0 mm, 2 mm, 4 mm and 6 mm distances. Four calibration models at four distances were established between diffused reflectance spectra and sugar content by partial least squares (PLS) analysis. The correlation coefficients (R) of calibrations ranged from 0.982 to 0.997 with SEC values from 0.138 to 0.453 and the SECV values from 0.74 to 1.58. The best model of original spectra at 0 mm distance yielded high correlation determination of 0.918, a SEC of 0.092, and a SEP of 0.773. The results showed that different light/detection probe-fruit distances influence the apple reflective spectra and SC predictions.

Inhibition of mitochondria responsible for the anti-apoptotic effects of melatonin during ischemia-reperfusion

Objective： To investigate a possible mechanism responsible for anti-apoptotic effects of melatonin and provide theoretical evidences for clinical therapy. Methods： lschemia-reperfusion mediated neuronal cell injury model was constructed in cerebellar granule neurons （CGNs） by deprivation of glucose, serum and oxygen in media. After ischemia, melatonin was added to the test groups to reach differential concentration during reperfusion. DNA fragmentation, mitochondrial transmembrane potential, mitochondrial cytochrome c release and caspase-3 activity were observed after subjecting cerebellar granule neurons to oxygen-glucose deprivation （OGD）. Results： The results showed that OGD induced typical cell apoptosis change, DNA ladder and apoptosis-related alterations in mitochondrial functions including depression of mitochondrial transmembrane potential （its maximal protection ratio was 73.26%） and release of cytochrome c （its maximal inhibition ratio was 42.52%） and the subsequent activation of caspase-3 （its maximal protection ratio was 59.32%） in cytoplasm. Melatonin reduced DNA damage and inhibited release of mitochondrial cytochrome c and activation of caspase-3. Melatonin can strongly prevent the OGD-induced loss of the mitochondria membrane potential. Conclusion： Our findings suggested that the direct inhibition of mitochondrial pathway might essentially contribute to its anti-apoptotic effects in neuronal ischemia-reperfiusion.

Clinical observation of gemcitabine and concomitant three-dimensional conformal radiotherapy in the treatment of locally advanced non-small cell lung cancer

Objective： To evaluate the clinical effect of gemcitabine and concurrent three-dimensional conformal radiation therapy （3D-CRT） for locally advanced non-small cell lung cancer （NSCLC）. Methods： From April 2002 to June 2005, 38 patients with inoperable stage Ⅲ NSCLC were treated with gemcitabine and 3D-CRT simultaneously. Chemotherapy consisted of intravenously gemcitabine 350 mg/m^2 on days 1, 8, 15, 22, 29, 36.3D-CRT was delivered up to a total dose of 60-64 Gy with a 2.0 Gy dose fraction per day, 5 days per week. Results： The overall response rates of primary tumor and mediastinum metastatic node were 86.8% （33/38） and 90.6% （29/32） respectively, and 91.7% （22/24） and 78.6% （11/14） for squamous cell carcinoma and adenocarcinoma respectively. The acute side effects of patients were mostly myelosuppression, nausea, vomiting, radiation-induced esophagitis and pneumonitis （RTOG 1/11）, however, all of them were cured. Conclusion： Concurrent application of gemcitabine and 3D-CRT can improve the overall response rate for locally advanced NSCLC without aggravating the side effects.

Local information enhanced LBP

Based on the observation that there exists multiple information in a pixel neighbor,such as distance sum and gray difference sum,local information enhanced LBP(local binary pattern)approach,i.e.LE-LBP,is presented.Geometric information of the pixel neighborhood is used to compute minimum distance sum.Gray variation information is used to compute gray difference sum.Then,both the minimum distance sum and the gray difference sum are used to build a feature space.Feature spectrum of the image is computed on the feature space.Histogram computed from the feature spectrum is used to characterize the image.Compared with LBP,rotation invariant LBP,uniform LBP and LBP with local contrast,it is found that the feature spectrum image from LE-LBP contains more details,however,the feature vector is more discriminative.The retrieval precision of the system using LE-LBP is91.8%when recall is 10%for bus images.

Least squares weighted twin support vector machines with local information

A least squares version of the recently proposed weighted twin support vector machine with local information(WLTSVM) for binary classification is formulated. This formulation leads to an extremely simple and fast algorithm, called least squares weighted twin support vector machine with local information(LSWLTSVM), for generating binary classifiers based on two non-parallel hyperplanes. Two modified primal problems of WLTSVM are attempted to solve, instead of two dual problems usually solved. The solution of the two modified problems reduces to solving just two systems of linear equations as opposed to solving two quadratic programming problems along with two systems of linear equations in WLTSVM. Moreover, two extra modifications were proposed in LSWLTSVM to improve the generalization capability. One is that a hot kernel function, not the simple-minded definition in WLTSVM, is used to define the weight matrix of adjacency graph, which ensures that the underlying similarity information between any pair of data points in the same class can be fully reflected. The other is that the weight for each point in the contrary class is considered in constructing equality constraints, which makes LSWLTSVM less sensitive to noise points than WLTSVM. Experimental results indicate that LSWLTSVM has comparable classification accuracy to that of WLTSVM but with remarkably less computational time.

Clinical study on concurrent chemoradiotherapy combined with Kanglaite injection in the treatment of regionally advanced unresectable non-small cell lung cancer

Objective： To evaluate the clinical effects and toxicity of concurrent chemoradiotherapy combined with Kanglaite injection in the treatment of regionally advanced unresectable non-small cell lung cancer. Methods： 48 patients with regionally advanced unresectable non-small cell lung cancer were randomized to two groups, 25 patients in the combination group （concurrent chemoradiotherapy ＋ Kanglaite） and 23 patients in the control group （concurrent chemoradiotherapy）. The combination group received chemotherapy of vinorelbine （NVB） plus cisplatin （DDP） regimen, radiotherapy was given with conventional fraction in 2 Gy per fraction and five fractions per week concurrently. The total tumor doses were 56-60 Gy. Combined with Kanglaite injection 200 mud for twenty-one days for two courses in the combination group, the control group was chemoradiotherapy only. Effects and toxicities were evaluated according to the criteria of WHO. Results： The CR rates in the combination group and control group were 24.0% （6/25） and 13.0% （3/23）, respectively （P 〉 0.05）. Response （CR ＋ PR） rates of combination group were 76.0 % （19/25） and 69.6% （16/23） in control group, P 〉 0.05. The incidence rates of grades 3-4 leukocytopenia, grades 3-4 digestive system （nausea and vomiting） and grades 3-4 esophagitis in the combination group and control group were 40.0% （10/25）, 8.0% （2/25）, 16.0% （4/25） and 69.6% （16/23）, 34.8% （8/23）, 43.5% （10/23）, respectively （P 〈 0.05）. KPS and body weight score significantly increased in combination group after the combined treatment, P 〈 0.05. Conclusion： Concurrent chemoradiotherapy combined with Kanglaite injection can relieve side effects of chemoradiotherapy in the treatment of regionally advanced unresectable non-small cell lung cancer, and improve quality of life. Kanglaite injection may increase effective rate of regionally advanced unresectable non-small cell lung cancer combined with concurrent chemoradiotherapy.

Synchronization and Control of Halo-Chaos in Beam Transport Network with Small World Topology

The synchronous conditions of two kinds of the small-world （SW） network are studied. The small world topology can affect on dynamical behaviors of the beam transport network （BTN） largely, if the BTN is constructed with the SW topology, the global linear coupling and special linear feedback can realize the synchronization control of beam halo-chaos as well as periodic state in the BTN with the SW topology, respectively. This important result can provide an effective way for the experimental study and the engineering design of the BTN in the high-current accelerator driven radioactive clean nuclear power systems, and may have potential use in prospective applications for halo-chaos secure communication.

A novel cell search scheme for OFDM cellular systems

A novel cell search scheme for OFDM cellular systems is proposed. It is based on one OFDM symbol with several identical slots as preamble, the time domain repetition structure of which can be utilized to accomplish OFDM timing/frequency synchronization. The cell ID is comprised of two parts: a sub-carrier mask index g and a sequence index x. Each sub-carrier mask activates or deactivates some of the sub-carriers, after which a differentially coded sequence is loaded on pairs of the adjacent active sub-carriers. The user equipment (UE) recognizes the mask with index g via power detection of the received frequency domain signal. Then it estimates the index x from differential demodulation followed by detection of the frequency domain se-quence. In order to improve the performance, a method of jointly estimating g and x is devised. Simulation results showed that the proposed scheme is able to support a very large number of cell IDs while maintaining a good performance even in bad multi-cell environment.

Local Partial Least Squares Based Online Soft Sensing Method for Multi-output Processes with Adaptive Process States Division

Local learning based soft sensing methods succeed in coping with time-varying characteristics of processes as well as nonlinearities in industrial plants. In this paper, a local partial least squares based soft sensing method for multi-output processes is proposed to accomplish process states division and local model adaptation,which are two key steps in development of local learning based soft sensors. An adaptive way of partitioning process states without redundancy is proposed based on F-test, where unique local time regions are extracted.Subsequently, a novel anti-over-fitting criterion is proposed for online local model adaptation which simultaneously considers the relationship between process variables and the information in labeled and unlabeled samples. Case study is carried out on two chemical processes and simulation results illustrate the superiorities of the proposed method from several aspects.

The Minimal Submanifolds in a Locally Symmetric and Conformally Flat Riemannian Manifold

In this paper,we extend two important theorem in[1],[2]to the minimal submanifolds in a Locally symmetric and conformally flat Riemannian mainfold N^(+p).When N^(+p)is a space S_(1)^(+p) of constant curvature,our theorems reduce to the theorems of[1],[2].

Intraoperative permanent implantation of radioactive I-125 seed for local advanced non small lung cancer

Objective： To study the clinical efficacy and methods of permanent implantation of radioactive I-125 seed in surgery for local advanced non small lung cancer （LANSCLC）. Methods： From Apr. 2004 to Apr. 2006, the I-125 seeds were implanted into 30 patients with LANSCLC in surgery. The numbers of seeds were 10-40. The chemotherapy was performed in 10 to 14 days after operation. Results： There was no operative death, and the distribution of seeds and complications were reviewed by CT and X-ray after treatment. The distribution of seeds was satisfactory in all patients. The complete response rate （CR） was 56.6% and the part response （PR） was 26.6%. The overall response rate was 83.3% after 4-24 months of surgery. There was no one occurred radiation pneumonia. Prospective efficacy await further follow-up. Conclusion： Permanent implantation of 1-125 seed in surgery for LANSCLC, is a safe and effective method with mild complications.