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Yuan-Yuan Liu,1,2 Ren-Feng Zhao,2 Chao Liu,2 Jie Zhou,2 Liu Yang,2 Li Li1 1Department of Gynecologic Oncology, Guangxi Medical University Cancer Hospital, Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, Nanning, Guangxi, People’s Republic of China; 2The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, People’s Republic of ChinaCorrespondence: Yuan-Yuan Liu; Li Li Tel +86-13877152206; +86-13878113406Email 43322045@qq.com; yuanyuan_liu2021@163.comObjective: Nomograms are statistics-based predictive tools that integrate predictive factors. Herein, a nomogram was developed and validated to predict the overall survival (OS) in serous ovarian cancer (SOC).Methods: Primary SOC patients with satisfactory cytoreductive surgery, chemotherapy, and OS ≥ 1 month were included in this study. A total of 6957 patients from the Surveillance, Epidemiology, and End Results (SEER) database comprised the training group and 1244 patients comprised the external validation group. The nomogram was structured on Cox models and evaluated in both the training and validation groups using consistency index, area under the receiver operating characteristics curve, calibration plots, and risk subgroup classification. Kaplan–Meier curves were plotted to compare the survival outcomes between subgroups. A decision-curve analysis was used to test the clinical value of the nomogram.Results: Independent factors, including age, tumor grade, and Federation of Gynecology and Obstetrics (FIGO) stage, identified by multivariate analysis in the training cohort, were selected for the nomogram. The consistency indexes for OS were 0.689 in the training cohort and 0.639 in the validation cohort. The calibration curves showed good consistency between predicted and actual 3- and 5-year OS. Significant differences were observed in the survival curves of different risk subgroups. The decision-curve analysis indicated that our nomogram was superior to the American Joint Committee on Cancer (AJCC) staging system.Conclusion: A nomogram was constructed to predict the long-term OS in SOC and verified in Asians. The accurate predictions facilitated personalized treatments and follow-up strategies.Keywords: nomograms, serous ovarian cancer, overall survival, SEER, external verification

It is revealed that there exist duality families of the KdV type equation. A duality family consists of an infinite number of generalized KdV (GKdV) equations. A duality transformation relates the GKdV equations in a duality family. Once a family member is solved, the duality transformation presents the solutions of all other family members. We show some dualities as examples, such as the soliton solution-soliton solution duality and the periodic solution-soliton solution duality.

Objective To explore the relationship between alteration of cerebral blood flow (CBF) and cognitive impairment in patients with white matter hyperintensity (WMH). Methods Eighty patients with WMH and 37 controls matching sex, age and education were enrolled. Patients with WMH were divided into mild WMH group (n=33, Fazekas score 1-2) and moderate⁃severe WMH group (n=47, Fazekas score 3-6). Montreal Cognitive Assessment (MoCA), Chinese Auditory Verbal Learning Test (CAVLT), Symbol Digit Modalities Test (SDMT), Color Trail Test (CTT) and Boston Naming Test (BNT) were respectively used to assess overall cognitive function, memory, attention, executive function and language. The 3D⁃pseudo⁃continuous arterial spin labeling (3D⁃pCASL) was used to assess CBF. The relationship between CBF and cognitive function was estimated by Pearson correlation and partial correlation analyses. Results 1) MoCA (F=3.433, P=0.036), CAVLT⁃study (F=4.123, P=0.019), CAVLT⁃immediate (F=7.929, P=0.001), CAVLT⁃delay (F=6.738, P=0.002), CAVLT⁃recognition (F=5.762, P=0.004), SDMT (F=5.136, P=0.008), CTT⁃A (F=7.155, P=0.001) and BNT (F=4.329, P=0.032) were statistically significant among 3 groups. The moderate⁃severe WMH group was less than control group in MoCA (t=2.525, P=0.013), CAVLT⁃study (t=2.683, P=0.009), CAVLT⁃immediate (t=3.593, P=0.004), CAVLT⁃delay (t=3.497, P=0.001), CAVLT⁃recognition (t=3.264, P=0.002), SDMT (t=3.170, P=0.002), BNT (t=2.584, P=0.011) as well as less than the mild WMH group in CAVLT⁃study (t=2.025, P=0.046), CAVLT⁃immediate (t=3.033, P=0.003), CAVLT⁃delay (t=2.458, P=0.016) and CAVLT⁃recognition (t=2.181, P=0.032), while more than control group in CTT⁃A (t=⁃3.668, P=0.000). The mild WMH group was more than control group in CTT⁃A (t=⁃2.697, P=0.008). 2) The CBF of right putamen, left putamen and right median cingulate were statistically significant among 3 groups [Gaussian random field (GRF) corrected, cluster P＜0.05, voxel P＜0.001]. Compared to control group and the mild WMH group, the CBF of the right putamen (t=5.039, P=0.000; t=3.672, P=0.000), the left putamen (t=5.808, P=0.000; t=2.665, P=0.009) and right median cingulate (t=5.038, P=0.000; t=3.319, P=0.001) were more in the moderate⁃severe WMH group. Compared to the control group, the CBF of the right median cingulate was higher in the mild WMH group (t=1.476, P=0.006). 3) The correlation analysis showed that in the mild WMH group, the CBF of the right putamen was positively correlated with SDMT (r=0.478, P=0.028), and negatively correlated with CTT⁃A (r=⁃0.483, P=0.026), the CBF of left putamen was positively correlated with MoCA (r=0.451, P=0.040), and negatively correlated with CTT⁃A (r=⁃0.502, P=0.020), the CBF of right median cingulate was positively correlated with MoCA (r=0.446, P=0.043); in the moderate⁃severe WMH group, the CBF of the right putamen was positively correlated with CAVLT⁃recognition (r=0.343, P=0.043). Conclusions The alteration of CBF in the brain may be a possible neuropathological mechanism of WMH and relate to cognitive impairment in WMH.

After an intravenous bolus injection of 100 mL of iodinated contrast agent (370 mgI/mL), the amount of iodine atoms entering the blood is tens of thousands of times the daily dose of iodine recommended by the World Health Organization. However, the effect of iodinated contrast in patients with nonthyroidal illness, manifested as reduced serum total triiodothyronine (TT3) concentrations, is unclear. We studied the effect of iodinated contrast on thyroid function and auto-antibodies in patients with reduced TT3 after diagnosis and treatment of coronary heart disease.This was a prospective cohort study. One hundred and fifty-four stable angina pectoris patients with reduced TT3 and normal thyroid-stimulating hormone (TSH), free thyroxine (FT4), and reverse triiodothyronine (rT3) were enrolled from January, 2017, to June, 2018. All subjects had no history of thyroid dysfunction and had no recent infections, tumors, trauma, or other critical illnesses. Fourty-one patients underwent coronary angiography and 113 patients underwent coronary intervention.There were 6 patients (3.9%) with hypothyroidism and 30 patients (19.5%) developed subclinical hypothyroidism (SCHypo) on the first day after surgery. There were 6 patients (3.9%) with hypothyroidism, 6 patients (3.9%) with SCHypo, and 18 patients (11.7%) with subclinical hyperthyroidism (SCHyper) at the first month postsurgery. There were 23 patients (14.9%) with SCHyper and 6 patients (3.9%) with SCHypo at the sixth month after surgery. No patient with longterm severe thyroid dysfunction occurred during follow-up. The levels of free triiodothyronine, FT4, TT3, total thyroxine, and TSH showed statistically significant changes at 1 day, and 1, 3, and 6 months postoperative (P.005). The level of rT3 showed no statistically significant change at 1, 3, and 6 months postoperative (P.05). The levels of thyroglobulin antibody and thyroid peroxidase antibody decreased at 6 months postoperative (P.001).The risk of subclinical thyroid dysfunction and transient hypothyroidism occurred with a single large dose of iodinated contrast in the diagnosis and treatment of coronary heart disease, but no longterm severe thyroid dysfunction occurred. Patients with preoperative thyroid antibody elevation were more likely to have subclinical thyroid dysfunction after surgery.FT3 = free triiodothyronine; FT4 = free thyroxine; PCI = percutaneous coronary intervention; rT3 = reverse triiodothyronine; SCHyper = subclinical hyperthyroidism; SCHypo = subclinical hypothyroidism; TGAB = thyroglobulin antibody; TPOAB = thyroid peroxidase antibody; TT3 = total triiodothyronine; TT4 = total thyroxine; TSH = thyroid-stimulating hormone; WHO = World Health Organization.

Gd2O3 doped CeO2(GDC) was widely used in solid oxide fuel cell (SOFC) because of its high ionic conductivity at 500-700 ℃. However, during the SOFC operation, Ce4+ was reduced to Ce3+ at the anode side of the battery, resulting in electronic leakage, which leaded to the degradation of SOFC battery performance. The Ce1-xGdxO2-δ(x=0.05,0.10,0.15,0.20,0.25, mole fraction) solid electrolyte was prepared by sol-gel method. The effects of different Gd3+ doping amount on the total conductivity and electronic conductivity of GDC electrolyte were studied, and the relationships between the total conductivity, electronic conductivity, and temperature, oxygen partial pressure were analyzed. The results show that, when the Gd2O3 doping content is 0.20, the total conductivity of GDC reaches the highest 8.59×10-2 S·cm-1 at 750 ℃. The electronic conductivity decreases with the increase of Gd3+doping amount, and reaches the highest 6.47×10-4 S·cm-1 at 750 ℃ when Gd3+doping amount is 0.10. The GDC with doping amount of 0.20 highlights the highestionic conductivity because of its highest total conductivity and smaller electronic conductivity.

Anopheles anthropophagus (Xu and Feng 1975) is the major vector of malaria in Eastern and Southern China. The species An. anthropophagus is considered a synonym of An. lesteri (Baisas & Hu, 1936), although they differ in several key biological characteristics. Here, we report the complete mitochondrial genome of An. anthropophagus for the first time. The mitogenome of An. anthropophagus is a typical circular, double-stranded molecule with a total length of 15,413 base pairs, and contains 13 protein-coding genes, 22 transfer RNA genes, two ribosomal RNA genes, and an AT-rich control region. A phylogenetic analysis of the complete mitogenomes of 16 species of Anopheles (Culicidae) revealed that An. anthropophagus is closely related to An. sinensis (Wiedemann 1828), in the family Culicidae. The An. anthropophagus mitogenome provides new data for further taxonomic and phylogenetic studies of the genus Anopheles.

Anopheles anthropophagus (Xu and Feng 1975) is the major vector of malaria in Eastern and Southern China. The species An. anthropophagus is considered a synonym of An. lesteri (Baisas & Hu, 1936), although they differ in several key biological characteristics. Here, we report the complete mitochondrial genome of An. anthropophagus for the first time. The mitogenome of An. anthropophagus is a typical circular, double-stranded molecule with a total length of 15,413 base pairs, and contains 13 protein-coding genes, 22 transfer RNA genes, two ribosomal RNA genes, and an AT-rich control region. A phylogenetic analysis of the complete mitogenomes of 16 species of Anopheles (Culicidae) revealed that An. anthropophagus is closely related to An. sinensis (Wiedemann 1828), in the family Culicidae. The An. anthropophagus mitogenome provides new data for further taxonomic and phylogenetic studies of the genus Anopheles.

If we cannot obtain all terms of a series, or if we cannot sum up a series, we have to turn to the partial sum approximation which approximate a function by the first several terms of the series. However, the partial sum approximation often does not work well for periodic functions. In the partial sum approximation of a periodic function, there exists an incorrect oscillation which cannot be eliminated by keeping more terms, especially at the domain endpoints. A famous example is the Gibbs phenomenon in the Fourier expansion. In the paper, we suggest an approach for eliminating such oscillations in the partial sum approximation of periodic functions.

Supplemental Material, sj-pdf-1-evp-10.1177_14747049211000714 for Disease History and Life History Predict Behavioral Control of the COVID-19 Pandemic by Hui Jing Lu, Yuan Yuan Liu, Jiaqing O, Shaolingyun Guo, Nan Zhu, Bin Bin Chen, Jennifer E. Lansford and Lei Chang in Evolutionary Psychology

In this work, under hydrothermal conditions, two novel polyoxometalates (POMs)-based CuII and CuI hybrid materials with 2,6-(1,2,4-triazole-4-yl)pyridine (L1), namely yellow block crystals [Cu2(L1)2(Mo4O13)] (1) and blue block crystals [Cu2(L1)3(H2O)2(Mo4O13)2] (2) have been designed and synthesized. These POM-based CuII and CuI hybrid materials 1–2 have been determined by single crystal X-ray diffraction analyses. In 1, these Mo8O264− anions and CuI centers are inter-linked by bidentate L1, which are arranged into the 1 D POMs-based CuI hybrid metal-organic framework. In 2, these L1 ligands bridge neighboring CuII centers and Mo8O264− anions, which ultimately form the unique 3 D POM-based CuII hybrid coordination framework of 2. Photocatalytic activities for decomposition of different organic dyes (Rhodamine B (RhB), methylene blue (MB) and methyl orange (MO)) have been investigated for 2, indicating that 2 are good candidates for the photocatalytic degradation of these organic dyes.

The absence of accurate information on the state of waste is a challenge to the solid waste management system in Syria. The local authorities commonly estimate the quantity of waste produced and its characterisation, which is the starting point for solid waste management planning. So, this paper aims to evaluate the generation and composition of household solid waste in Homs city, Syria. Also, the study presents factors influencing the waste generation rate and the waste composition. The study was carried out in 300 families from four zones in Homs city, and three sampling stages were conducted during the study duration, which started in July 2017 and ended in February 2019. The outcomes show that an average of 0.68 kg/per/day solid waste generated was calculated for the entire study area in Homs city. Also, the data analysis presents that organic waste constitutes the largest component in the waste mixture (69.1%) followed by plastic (10.6%), inert materials (8.7%), paper (4.6%), textile (2.5%), metal (1.2%), glass (1.1%), wood (0.6%), and hazardous materials (1.6%). The multiple linear regression results showed that the adjusted R2 value was found to be 0.557, 0.839, and 0.709 for the waste generation per capita, the daily household organic waste generation, and the daily household packaging waste generation, respectively. Also, according to Pearson’s coefficient values, a positive correlation was found between household waste generation and monthly income (r = 0.626), household size (r = 0.37), and age of the household head (r = 0.517), whereas a negative correlation was found between household waste generation and the education level of the household head (r = −0.649).

In this paper, we solve the massive scalar field in the Reissner-Nordstr\"om spacetime. The scalar field in the Reissner-Nordstr\"om spacetime has both bound states and scattering states. For bound states, we solve the bound-state wave function and the eigenvalue spectrum. For scattering states, we solve the scattering wave function and give an explicit expression for scattering phase shift by the integral equation method. Especially, we introduce the tortoise coordinate for the Reissner-Nordstr\"om spacetime.

In this paper, we solve the massive scalar field in the Reissner-Nordstr��m spacetime. The scalar field in the Reissner-Nordstr��m spacetime has both bound states and scattering states. For bound states, we solve the bound-state wave function and the eigenvalue spectrum. For scattering states, we solve the scattering wave function and give an explicit expression for scattering phase shift by the integral equation method. Especially, we introduce the tortoise coordinate for the Reissner-Nordstr��m spacetime.

The transient electromagnetic forward modeling of volcanogenic massive sulfide (VMS) ore deposits is to calculate the eddy currents electromagnetic response of a three dimensional body in the full space of deep-sea environment. We simulated the three dimensional transient electromagnetic response of the VMS deposits using full-domain vector finite element method. The ore body was discretized with brick rectangular elements. The finite element equation was deduced in frequency domain by employing Galerkin procedure, and the conversion to time domain was by inverse Fourier transform. We confirmed the validity of the full-domain vector finite element algorithm by comparing simulated results with analytical solutions of double half-space model. The results have a good agreement with each other, which indicates that the vector finite element method is capable of solving whole space problem. In order to demonstrate the ability of the numerical method in calculating the response of VMS deposits containing complex boundary conditions, we compared vector finite element solution of a three dimensional electrical model with physical experiment results according to electromagnetic physical scale modeling rules. The comparison suggests that for the complex electromagnetic boundary of seawater, ore body and country rocks, the transient electromagnetic response of VMS deposits calculated by full-domain vector finite element method has same features with the physical scale modeling result. The vector finite element method is simple and its results are precise with obvious and clear anomaly response.

Wnt signaling plays critical roles in dorsoventral fate specification and anteroposterior patterning, as well as in morphogenetic cell movements. Dishevelled proteins, or Dvls, mediate the activation of Wnt/ß-catenin and Wnt/planar cell polarity pathways. There are at least three highly conserved Dvl proteins in vertebrates, but the implication of each Dvl in key early developmental processes remains poorly understood. In this study, we use genome-editing approach to generate different combinations of maternal and zygotic dvl mutants in zebrafish, and examine their functions during early development. Maternal transcripts for dvl2 and dvl3a are most abundantly expressed, whereas the transcript levels of other dvl genes are negligible. Phenotypic and molecular analyses show that early dorsal fate specification is not affected in maternal and zygotic dvl2 and dvl3a double mutants, suggesting that the two proteins may be dispensable for the activation of maternal Wnt/ß-catenin signaling. Interestingly, convergence and extension movements and anteroposterior patterning require both maternal and the zygotic functions of Dvl2 and Dvl3a, but these processes are more sensitive to Dvl2 dosage. Zygotic dvl2 and dvl3a double mutants display mild axis extension defect with correct anteroposterior patterning. However, maternal and zygotic double mutants exhibit most strongly impaired convergence and extension movements, severe trunk and posterior deficiencies, and frequent occurrence of cyclopia and craniofacial defects. Our results suggest that Dvl2 and Dvl3a products are required for the activation of zygotic Wnt/ß-catenin signaling and Wnt/planar cell polarity pathway, and regulate zygotic developmental processes in a dosage-dependent manner. This work provides insight into the mechanisms of Dvl-mediated Wnt signaling pathways during early vertebrate development., Author summary The embryogenesis of most animals is first supported by maternal gene products accumulated in the oocyte, and then by the expression of genes from the zygote. In all vertebrates, there are at least three Dishevelled (Dvl) proteins, which play critical roles in normal development and human diseases. They are both maternally and zygotically expressed, and can activate the ß-catenin-dependent Wnt pathway that regulates gene expression and cell fate, and the ß-catenin-independent Wnt pathway that orchestrates cell movements. In zebrafish embryo, Dvl2 and Dvl3a are most abundant, but their functions are not fully understood. We find that maternally and zygotically expressed Dvl2 plays a predominant role in the elongation of the anteroposterior axis, and the expression of genes involved in the development of the posterior region. Dvl3a cooperates with Dvl2 in these processes. Analyses after loss-of-function of these genes indicate that deficiency of maternal and zygotic Dvl2 and Dvl3a results in embryos with cyclopia, craniofacial defects, and severe abnormality in the trunk and posterior regions. Many human birth defects and other diseases, like cancer, are attributed to the dysfunction of the Wnt pathways. Our results help to understand the mechanisms of Dvl-mediated Wnt pathway activation, and the causes of developmental disorders.

Multilingual abstracts in the five official working languages of the United Nations. (PDF 561Â kb)

A Na(I) complex, [Na(4,4’-bipyridine)2·(H2O)4]·L·OH·2H2O (L = 2-formyl-benzenesulfonate-hydrazine), has been synthesized. And its structure was determined by X-ray single crystal diffraction analysis. The Na(I) complex belongs to orthorhombic, space group C2221 with a = 7.9162(16) Å, b = 18.451(4) Å, c = 26.397(5) Å, V= 3855.7(13) Å3, Z = 4, Dc = 1.394 mg·m-3, μ = 0.218 mm-1, F(000) =1689, and final R1 = 0.0683, ωR2 = 0.2017. The result shows that the Na(I) center is six-coordination with a N2O4 distorted octahedral coordination environment. The Na(I) complex forms 1D chain structure by the π-π stacking interaction.

As more selenium (Se) rich soil has been found, people begin to give more attention to the availability of Se for plant and human-beings. However, current understanding for the content, specification and plant availability is not complete and accurate. By analyzing the past research on Se in soils, we believed that differences in backgrounds (soil types, climate) and hiding effect of various influential factors led to different results with regard to the relationship of soil Se with influential factors. There should be more controlled study and quantitative-based model to trace the genuine relationship between soil Se and Fe and Al oxide, pH, Eh and organic matter. For the regional Se balance within air-soil-water-plant system, air precipitation, Se volatilization and leaching should be more precisely monitored. Isotope technology (natural istotope and labelling) could be a good option for tracing transformation mechanisms of Se in soil-plant system and this would give more good scientific support for the increasing Se utilization efficiency.

The paper collected relevant literatures on selenium and explored the function to plant, selenium content, influential factors and selenium specification and transformation. We believed that there should be more deep researches on function of selenium to plant. Approaches of molecular, genetic engineering and isotope could be employed to breed selenium rich crops and possibilities in practice. More efforts should be spent on the technologies research for improving selenium level in crops under natural soil conditions to sustainably utilize the selenium resources.

Rationale: Merkel cell carcinoma (MCC) is an aggressive neuroendocrine-derived cutaneous cancer. Ectopic or single metastatic MCC located in thorax is extremely rare; meanwhile, its definite management has not been elucidated yet. Patient concerns: A 64-year-old female patient with a giant mass located in her left thorax was presented for stuffy pain of left chest for 6 months and fever for half a month. She underwent radical resection of vulvar MCC 10 years ago. Diagnoses: Computed tomography (CT)-guided biopsy of the intrathoracic mass revealed a diagnosis of MCC, without synchronous urogenital lesions on pelvic CT images. Interventions: This bulky tumor was completely resected via thoracotomy, along with the adjacent pulmonary lobe, pericardium, pleura, and diaphragm. Outcomes: The patient survived without local-regional recurrence or distant metastasis during the follow-up of 1 year up to now. Lessons: Ectopic or single metastatic MCC should be considered in the differential diagnosis of intrathoracic tumors, especially in patients with a history of MCC. Besides, a timely surgery combined with chemotherapy is effective for this disease.

In this paper, we present a method of using machine vision technology to detect the nozzle of plant protection equipment through two spray variables (spray angle and spray volume distribution area), which provides a good experimental direction to improve the performance of the nozzle of plant protection equipment. Firstly, we get the images information with different backgrounds and shooting angles. Secondly, we process the images by edge detection, mathematical morphology and other related digital image processing techniques. Thirdly, we obtain the target area of spray angle and fog quantity distribution using the Hough transform line detection algorithm and pixel method. Finally, we compare the area and angle with the reference values to judge the rationality of the method and establish the error range. Experimental results show that the feature variable values are ideal for plant protection equipment nozzle spray angle and spray volume distribution area. It is proved that the feasibility of our method.

This paper presents a view synthesis algorithm without depth cameras and camera calibration: First, use the left and right view sequence to obtain disparity estimation map. Then do twice horizontal synthesis with the initial disparity map and smoothing filtered disparity map on the left view sequence. Finally, merging the two composite image to finish hole filling. Simulation results show that the algorithm has advantages on operational efficiency, and has good visual effects compared with the traditional DIBR algorithm.

To solve the problem of salivate,an unsteady phenomenon caused by the mismatch of feed velocity and high-voltage in the electrospinning to fabricate nanoscale fibers,this paper proposes an on-line monitor system based on the multi-featured pattern recognition for realizing both the stability of nanofiber manufacturing and the controllability of fiber diameter.Firstly,an industry CCD is used to collect the image of the Taylor cone continously,and then these images are preprocessed by sharpening,filtering and threshold segmentation.The perimeter,area and height of the Taylor cone are recognized by the multi-featured pattern recognition algorithm to judge the shape and size of the Taylor cone.Finally,the result of pattern recognition is viewed as the feedback signal to adjust the feed module and high-voltage module.Experimental results indicate that when the voltage is 8 kV,the system can be stabilized in 0.43 s,and it maintains a stable shape of Taylor cone without the salivate phenomenon.Moreover,obtained nanoscale fiber shows a uniform diameter.In conclusion,this method has reliably and effectively solved the instability and uncontrollability of nanoscale fiber manufarturing.

The molecular dynamics method was used to simulate thermodynamic properties of three binary alloys: Pb40Au60, Pb80Au20 and Pb90Au10. The energy functions, including excess free energy, cohesive energy and formation energy, were calculated. Formation energy and excess free energy are all negative values, so Pb-Au alloys belong to negative system. The atomic interactions were analyzed in macroscopic and microcosmic views. The calculated formation energy can describe the deviation degree between the actual alloy and the ideal melt quantitatively.

Empirical mode decomposition(EMD) has been proved that it is an extraordinary useful nonparametric signal denoising, which adaptively breaks down any signal into oscillatory components called intrinsic mode functions(IMFs). For EMD-based denoising, how to select relevant extracted modes and how to select threshold for denoising are two main questions to resolve urgently. This paper introduces a new EMD-based denoising, tremed EMD-corIT, which combines an estimation of correlation coefficient and the EMD interval thresholding denoising (EMD-IT). The selection of relevant modes is dependent on the correlation coefficient between the IMFs and the original signal. Numerical simulation test were carried out to evaluate the effectiveness of this method. Other traditional EMD denoising, such as correlation-based EMD partial reconstruction, EMD direct thresholding (EMD-DT) are also investigated in this paper to provide a comparison. Simulation results show its superior performance over other traditional EMD denoisings in whole.

We investigate tricritical behavior of the O(n) model in two dimensions by means of transfer-matrix and finite-size scaling methods. For this purpose we consider an O(n) symmetric spin model on the honeycomb lattice with vacancies; the tricritical behavior is associated with the percolation threshold of the vacancies. The vacancies are represented by face variables on the elementary hexagons of the lattice. We apply a mapping of the spin degrees of freedom model on a non-intersecting-loop model, in which the number n of spin components assumes the role of a continuously variable parameter. This loop model serves as a suitable basis for the construction of the transfer matrix. Our results reveal the existence of a tricritical line, parametrized by n, which connects the known universality classes of the tricritical Ising model and the theta point describing the collapse of a polymer. On the other side of the Ising point, the tricritical line extends to the n = 2 point describing a tricritical O(2) model.

Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) is a cryptic species complex that includes some of the most significant pests of agriculture and horticulture worldwide. To understand the diversity and distribution of B. tabaci cryptic species in Yunnan, a famous biodiversity hotspot in China, a large-scale sampling was conducted from year 2010 to 2013 in 10 prefectures. Mitochondrial cytochrome oxidase I gene sequences were used to identify different cryptic species. Phylogenetic analyses were performed using Bayesian methods to assess the position of a new B. tabaci cryptic species in the context of the B. tabaci diversity in Asia. The survey indicates at least eight B. tabaci cryptic species are present in Yunnan, two invasive (MEAM1 and MED) and six indigenous (China 2, China3, China 4, Asia I, Asia II 1, and Asia II 6), MEAM1, MED, and Asia I being the three predominant cryptic species in Yunnan. Compared with MEAM1, MED has a wider distribution. Based on molecular data, a new cryptic species, here named China 4, was identified that appears to be related to China 1, China 2, and China 3. Future efforts should focus on the interactions between predominant B. tabaci cryptic species and begomoviruses and on the development of effective control strategies.

GaAs absorber was grown at low temperature (550degreesC) by metal organic chemical vapour deposition (MOCVD) and was used as an output coupler with which we realized Q-switching modelocked Yb3+-doped fibre laser. The shortest period of the envelope of the Q-switched modelocking is about 3mus. The modelocking threshold is 4.27W and the highest average output pulse power is 290 mW. The modelocking frequency is 12 MHz.

This chapter proposes a new chaotic communication scheme which is developed from the Differential Chaos Phase Shift Keying (DCPSK). In this scheme, N information-bearing signal rather than one information-bearing signal will be transmitted after one reference signal, therefore the efficiency of the bandwidth utilization is improved. The performance of the improved scheme is simulated under an additive white Gaussian noise (AWGN) environment and compared with the Differential Chaos Shift Keying (DCSK), DCPSK, and the combined scheme of DCSK and DCPSK.

A great deal of attentions is currently focused on multisensor data fusion. A very important aspect of it is track-to-track association and track fusion in distributed multisensor-multitarget environments. The approach based on Hopfield neural network has been developed. But the performance of this approach is limited because Hopfield neural network is often trapped in the local minima. This paper try to solve this problem with an approach based on chaotic neural network (CNN). Furthermore, in order to improve the performance of neural network, the association statistic between tracks from different sensors is modified. Computer simulation results indicate that this approach is more efficient than the algorithm based on continuous Hopfield neural network (CHNN).

For a long time, China's coal-based energy structure, as well as thermal-power-led power structure, has caused serious environmental pollution problems. As the proportion of Chinapsilas power source structure is not so reasonable, it receives growing attention. To achieve the emissions constraints of major pollutants till the end of Eleventh Five-Year Plan, and optimize China's power structure, the research builds the electricity production and environmental constraints coupling optimization model and proposes the optimal program of China's power structure, accompanied with the analysis of the potential effect and validity of the program. After optimization, the SO2 emissions decreases by almost 22.35, in 2010 compared to 2005. The proportion of thermal power goes down to 72.2, from the former 79.64, through adjustment of the power structure, and the clean energy be 27.8. Through the power structure optimization, the emission quantity of SO2 is greatly decreased and could reach the Chinapsilas reduction target.

With the merging of the power market in China, power plants were faced with a serious challenge. The power market on generation-side of separating power plants from power networks and generation bidding will become the main operating model in our hometown. It is necessary to improve social benefits and reduce the purchasing price with the mature power technology. This thesis researches on bidding method of power market, according to the development direction of power market in our country. One immune genetic algorithm has been explored for bidding of power market in this thesis, which opens up one new kind of approach to solve the problem of bidding. The typical computational example shows that presented algorithm is a new effective optimal method, as it can obtain better result and has faster convergence speed.

We study the value relevance of accounting earning information of dual-listing companies. We find that the accounting earning information according to HK-GAAP (or IASs) is useful for H share, the investors in A share markets prefer unexpected EPS to EPS, the financial statements based on HK-GAAP(or IASs) also provides useful information to the investors in A share markets, the investors in H share markets make their decisions mainly depending on HK-GAAP (or IASs)'s information. Therefore, dual-listing companies should provide accounting information based on HK-GAAP (or IASs) to overseas' investors. From the view of the information transmission, the segmentation between mainland and Hong Kong capital markets is distinct.