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Nanoconfinement offers opportunities to tune physical properties of molecular entities by altering their assembled structures. This also applies to acene-based molecules with potentially rich π–π interactions. Unlike most of the previous cases with acene-based guests directly incorporated into hosts, we take a further step by oligomerizing a fluorescent anthryl monomer, 9-vinylanthracene, inside nanochannels of a metal–organic framework, which is a pillared three-dimensional kagome net of [Zn2(bdc)2(dabco)] (bdc2– = 1,4-benzenedicarboxylate; dabco = 1,4-diazabicyclo[2.2.2]octane). The fluorescence emission of the guest can be significantly enhanced after oligomerization, which is likely due to the suppressed nonemissive interaction between the oligomerized molecules in the nanospace and the MOF wall. The case we have demonstrated for fluorescence enhancement via confined oligomerization provides inspiration for the design of luminescent composites and is encouraging for further exploration of molecules in a nanoconfined space.

The Middle Route of the South–North Water Diversion Project has changed the water resources pattern in China. As advanced equipment for the country, it is responsible for the water supply “lifeline” of Beijing, Tianjin, Hebei, Henan, etc. Ensuring its safe operation is a top priority to promote social stability and coordinated economic development between the North and the South. Used persistent scatterer interferometric synthetic aperture radar (PS-InSAR) technology to monitor the deformation of the high fill characteristic canal in Wenzhuang Village, Ye County, during the period from October 2016 to June 2017 for the South–North Water Diversion Project showed that there was significant deformation on the 1 km-long slope of the east bank of the canal, with the maximum deformation volume reaching 36 mm. Through the comparison and verification with the second order leveling data, there are more than 87% of the root mean square error of both less than ±2 mm. The correlation coefficient is 0.96, and the two were highly consistent in deformation trends and values. Through the vertical and cross-sectional analysis of the canal’s east bank and four key monitoring sections, it was found that the east bank of the canal presents overall uneven subsidence, and the closer the canal is to the water, the greater the canal deformation, and vice versa. Further comparison of the PS-InSAR deformation results of the canal from October 2016 to February 2018 proves that this technology cannot only monitor the subsidence range and rate of the South–North Water Diversion canal but also accurately identify the subsidence sequence of the east and west banks. It can provide reliable technical support for the safety monitoring and disaster prevention of the South–North Water Diversion canal characterized by high fill and deep excavation.

The two-dimensional (2-D) framework, [Cu(BTDAT)(MeOH)] {BTDAT = bis-[1,2,5]-thiadiazolo-tetracyanoquinodimethane}, possesses remarkable multi-step redox properties, with electrochemical studies revealing six quasi-stable redox states in the solid state. In situ electron paramagnetic resonance and visible-near infrared spectroelectrochemistry elucidated the mechanism for these multi-step redox processes, as well as the optical and electrochromic behavior of the BTDAT ligand and framework. In studying the structural, spectroscopic, and electronic properties of [Cu(BTDAT)(MeOH)], the as-synthesized framework was found to exist in a mixed-valence state with thermally-activated semiconducting behavior. In addition to pressed pellet conductivity measurements, single-crystal conductivity measurements using a pre-patterned polydimethylsiloxane layer on a silicon substrate provide important insights into the anisotropic conduction pathways. As an avenue to further understand the electronic state of [Cu(BTDAT)(MeOH)], computational band structure calculations predicted delocalized electronic transport in the framework. On the balance of probabilities, we propose that [Cu(BTDAT)(MeOH)] is a Mott insulator (i.e., electron correlations cause a metal-insulator transition). This implies that the conductivity is incoherent. However, we are unable to distinguish between activated transport due to Coulombically bound electron-hole pairs and a hopping mechanism. The combined electrochemical, electronic, and optical properties of [Cu(BTDAT)(MeOH)] shine a new light on the experimental and theoretical challenges for electroactive framework materials, which are implicated as the basis of advanced optoelectronic and electrochromic devices.

Organic crystals assembled by a well-established family of electron donors, tetrathiafulvalene (TTF)-based molecules, hold great potential for electronics, smart materials, and superconductors. Combining with Marcus' theory and first-principles calculations, we have adopted a fragment charge difference (FCD) method to investigate the charge transfer properties of the TTF-based crystals. Our FCD predictions are highly consistent with those obtained from a well-accepted site energy correction method. We have demonstrated the significant influence of both structure and chemistry on the charge transfer properties using polymorphs, i.e., α-phase tetrathiafulvalene (1) versus β-phase tetrathiafulvalene (2), and crystals with homologous molecular packings, i.e., 1 versus dithiophene-TTF (3). We have also introduced multiple factors to provide further insights into the variation in charge transfer properties of the TTF-based crystals, including energy gap (∆ E), centroid distance ( r i), orbital distribution correction factor (Hs), and reorganization energy ( λ). By taking advantage of our analysis, we have rationalized high mobility in hexamethylene-TTF (4) and low mobility in bis(ethylenedithio)-TTF (5). Our multiple-factor evaluation could support an approach to designing electrically conducting TTF-based materials and provide a method to estimate charge transfer properties effectively.

Lead halide perovskite (LHP) semiconductors show exceptional optoelectronic properties. Barriers for their applications, however, lie in their polymorphism, instability to polar solvents, phase segregation, and susceptibility to the leaching of lead ions. We report a family of scalable composites fabricated through liquid-phase sintering of LHPs and metal-organic framework glasses. The glass acts as a matrix for LHPs, effectively stabilizing nonequilibrium perovskite phases through interfacial interactions. These interactions also passivate LHP surface defects and impart bright, narrow-band photoluminescence with a wide gamut for creating white light-emitting diodes (LEDs). The processable composites show high stability against immersion in water and organic solvents as well as exposure to heat, light, air, and ambient humidity. These properties, together with their lead self-sequestration capability, can enable breakthrough applications for LHPs.

Crystallization of perovskite structure chromites (ACrO3) in aqueous conditions is difficult owing to the amphoteric nature of the Cr3+ in the alkaline-mediated reaction conditions. This is especia...

Pure metal-organic framework (MOF) layers deposited on porous supports are important candidates for molecular sieving membranes, but their performance usually deviates from theoretical estimations. Here, we combine step-wise scanning electron microscopy imaging, time-resolved synchrotron X-ray scattering, terahertz infrared spectroscopy, and density functional theory calculation to investigate the ZIF-8 membrane formation on two types (polydopamine and TiO2) of functionalized porous supports. Though molecular sieving of ZIF-8 membranes for smaller gases (He, H2, and CO2) can be achieved with both types of functionalized supports, we unravel that the strong interaction between MOF and polydopamine can disrupt the formation of "perfect" MOF crystals at the interface, leading to a "contracted" MOF structure with partially uncoordinated imidazolate ligands. This further affects the low-frequency dynamical parameters of the framework and inhibits the effective seeded growth. Eventually, it leads to an unexpected loss of selectivity for the bulkier gases (N2 and CH4) for ZIF-8 on polydopamine-functionalized supports. This work links the dynamical aspects of MOFs with their gas transport behavior and highlights the importance of regulating the interfacial weak forces to preserve the ideal molecular sieving efficiency of MOF membranes, which also provides guidance for defect engineering of MOF film fabrication for sensing and electronic devices beyond membranes.

The incorporation of photoactive donor-acceptor Stenhouse adduct (DASA) moieties into Metal-Organic Frameworks (MOFs) provides a new route to the development of visible light switching materials. Herein, a DUT-5 mixed-linker defect series was exploited to produce a derivative group of DASA-modified materials via postsynthetic modification (PSM). The photoactive MOFs exhibited conversion stimulated by visible wavelengths and were stable following multiple cycles. Thermodynamic and metastable states persisted over an extended time period.

A punctual and energy-saving operation model and some principles to realize energy-saving operation for train are analysed in this paper in order to reduce the energy consumption and obtain the energy-saving speed curve. According to the basic principles of dynamic programming algorithm, the train operation line is discretized. We reduce the space of state variables by using the maximum capacity operation curve and average speed operation curve. And the cost function for energy and time consumption is constructed according to requirements for punctual and energy-saving operation of trains. The simulation results using specific parameters show that the dynamic programming algorithm using reduced state space has high computational efficiency and effectively reduces the energy consumption of train operation.

Dynamic microscale surface topographies are desired in smart optics, controlling surface wettability and preventing marine biofouling. Voltage-controlled reversible responses have demonstrated potential for reliable reproducibility and stability, fast response, and for actuating thin films fixed over large solid surfaces. To obtain reversible deformation with regular geometric patterns, however, electrical methods have had to be coupled with mechanical stretching/bending and other ways to induce anisotropy. There is a great need and potential for on-demand electrical generation of programmable complex responsive surface patterns. Here we demonstrate a responsive polymer coating over an underlying pattern of counter electrodes which can be activated selectively. We present a patternable electrode printing method to achieve localized and structured wrinkling deformation without mechanical pre-force deformation. We discover that below a minimal separation distance, electrodes below the polymer act as a single electrode. We establish parameters that govern the alignment of wrinkles and quantify the regularity and direction of the new patterns between electrodes separated by larger than this distance. We analyze and quantify the regularity of the formed wrinkling patterns by four disorder metrics: box-counting fractal dimension, tortuosity, angle distribution, and branch number. We demonstrate the application of such electrode/wrinkles-on-demand patterning with a working multi-state light reflection–diffusion–grating device.

Good biological properties for titanium implants will shorten the treatment cycle and improve patient comfort, which are also the main goals of dentistry and orthopaedics. At present, the biological properties of titanium implants are mainly enhanced in two aspects: their surface chemistry and surface morphology. In this study, a surface modification strategy combining bioactive trace elements with surface micromorphology modification was used to enhance the biological properties of pure titanium. A new coating incorporating silicon micropore/microsphere topography was prepared on a titanium plate by micro-arc oxidation (MAO) technology. The properties of the coating and its effects on the adhesion and osteogenic differentiation of rat bone marrow mesenchymal stem cells (BMSCs) were further analyzed. The experimental results show that a coating doped with amorphous silicon with micropore/microsphere topography was incorporated onto the titanium surface and the surface roughness in the treated groups was obviously higher than that in the Ti group. In vitro, the presence of a silicon-incorporating coating with a micropore/microsphere topography on the titanium surface significantly enhanced the initial adhesion, proliferation and osteogenic differentiation of BMSCs. These results indicate that the silicon-incorporating coating with micropore/microsphere topography has potential applications in dentistry and orthopaedics.

It is highly desirable to red shift the emission of Y3Al5O12:Ce3+ phosphor to obtain a warmer correlated color temperature (CCT) in applications for blue-light pumped white-light emitting diodes (w...

Zinc oxide (ZnO) nanorods (NRs) have been demonstrated as a promising platform for enhanced fluorescence-based sensing. It is, however, desirable to achieve a tuneable fluorescence enhancement with these platforms so that the fluorescence output can be adjusted based on the real need. Here we show that the fluorescence enhancement can be tuned by changing the diameter of the ZnO nanorods, simply controlled by potassium chloride (KCl) concentration during synthesis, using arrays of previously developed aligned NRs (a.k.a. aligned NR forests) and nanoflowers (NFs). Combining the experimental results obtained from ZnO nanostructures with controlled morphology and computer-aided verification, we show that the fluorescence enhancement factor increases when ZnO NRs become thicker. The fluorescence enhancement factor of NF arrays is shown to have a much stronger dependency on the rod diameter than that of aligned NR arrays. We prove that the morphology of nanostructures, which can be controlled, can be an important factor for fluorescence enhancement. Our (i) effort towards understanding the structure–property relationships of ZnO nanostructured arrays and (ii) demonstration on tuneable fluorescence enhancement by nanostructure engineering can provide some guidance towards the rational design of future fluorescence amplification platforms potentially for bio-sensing.

Geometric or electronic confinement of guests inside nanoporous hosts promises to deliver unusual catalytic or opto-electronic functionality from existing materials but is challenging to obtain particularly using metastable hosts, such as metal–organic frameworks (MOFs). Reagents (e.g. precursor) may be too large for impregnation and synthesis conditions may also destroy the hosts. Here we use thermodynamic Pourbaix diagrams (favorable redox and pH conditions) to describe a general method for metal-compound guest synthesis by rationally selecting reaction agents and conditions. Specifically we demonstrate a MOF-confined RuO2 catalyst (RuO2@MOF-808-P) with exceptionally high catalytic CO oxidation below 150 °C as compared to the conventionally made SiO2-supported RuO2 (RuO2/SiO2). This can be caused by weaker interactions between CO/O and the MOF-encapsulated RuO2 surface thus avoiding adsorption-induced catalytic surface passivation. We further describe applications of the Pourbaix-enabled guest synthesis (PEGS) strategy with tutorial examples for the general synthesis of arbitrary guests (e.g. metals, oxides, hydroxides, sulfides)., Loading guests inside the pre-existing pores of nanoporous hosts remains challenging. Here, the authors introduce a rational route for incorporation of guest compounds into an arbitrary nanoporous host, enabling the investigation of multiple host-guest systems with surprising functionalities.

Crystallization of perovskite structure chromites (ACrO

The diagnostic accuracy of medullary carcinoma is very high because it commonly presents characteristic features, including a dispersed cell pattern formed by pleomorphic cells with extremely eccentric nuclei that contain coarsely granular to salt-pepper-type chromatin. However, medullary carcinoma cells sometimes demonstrate a monomorphic cell pattern, comprised exclusively of plasmacytoid cells with abundant eosinophilic cytoplasm and sharing strong similarity with oxyphilic cell neoplasms, thus constituting the important diagnostic pitfalls. A distinction between Hurthle cell neoplasm and medullary carcinoma can be made by the extremely marginal location of the nuclei with coarsely granular to salt-pepper-type chromatin for the medullary carcinoma cells and prominent macronucleoli for the Hurthle cells. Sometimes apparent cytoplasmic granularity could be observed in Hurthle cells, which is different from the fibrillar cytoplasm of medullary carcinoma cells with wet-fixation hematoxylin-eosin-stained preparation.

Summary Zeolitic imidazolate frameworks (ZIFs) have been widely investigated for their use in separation, gas adsorption, catalysis, and biotechnology. Their practical applications, however, can be hampered by their structural instability in humid acidic conditions. Here, guided by density functional theory calculations, we demonstrate that the acidic stability of two polymorphic ZIFs (i.e., ZIF-8 and ZIF-L) can be enhanced by the incorporation of functional groups on polypeptides or DNA. A range of complementary synchrotron investigations into the local chemical structure and bonding environment suggest that the enhanced acidic stability arises from the newly established coordinative interactions between the Zn centers and the inserted carboxylate (for polypeptides) or phosphate (for DNA) groups, both of which have lower pKas than the imidazolate ligand. With functional biomolecular homologs (i.e., enzymes), we demonstrate a symbiotic stability reinforcement effect, i.e., the encapsulated biomolecules stabilize the ZIF matrix while the ZIF exoskeleton protects the enzyme from denaturation.

Some of the characteristic features of subacute or granulomatous thyroiditis overlap with those of a papillary thyroid carcinoma, especially the presence of large giant cells. It is important to realize that the presence of numerous multinucleated giant cells does not rule out the diagnosis of papillary thyroid carcinoma. In this instance, the key for differential diagnosis is not to miss the rarely existed tissue fragment of follicular cells with characteristic nuclear features of papillary thyroid carcinoma. Clean background, almost without inflammatory cells admixed, and “bubble gum” colloid as well as the presence of two types of multinucleated giant cells are not in favor of the diagnosis of subacute thyroiditis.

Hurthle cell neoplasms have been cytologically placed in a category distinct from follicular neoplasms in our past experience. Cytological features of hematoxylin-eosin-stained specimens diagnosed as “suspected Hurthle cell neoplasms” include that the aspirate is generally high cellular, is comprised exclusively of Hurthle cells, has well-defined cell borders with enlarged nuclei, has abundant granular cytoplasm, and has round, oval to polygonal nuclei sometimes with prominent macronucleoli. The background is usually clean or bloody with or without histiocytes. Hurthle cell metaplasia of follicular cells is seen in several conditions affecting the thyroid, displaying a range of cytological features that mimic those encountered in Hurthle cell neoplasms, constituting important diagnostic pitfalls. An admixture of regular follicular cells, oncocytes with highly pleomorphic in size, transition forms, degenerative changes with histiocytes, lymphocytes or colloid in the background, absent macronucleus could serve as the clues to the diagnosis of nonneoplastic Hurthle cell nodules.

The nuclei of the oxyphilic or non-oxyphilic follicular epithelium in Hashimoto’s thyroiditis often exhibit considerable nuclear atypia, showing a range of nuclear changes that mimic those encountered in papillary thyroid carcinoma. Syncytial tissue fragments with or without any architectural configurations; enlarged nuclei with finely granular, powdery, or watery chromatin and nuclear contour irregularity; nuclear pseudoinclusions; nuclear grooves; and multiple micro- and/or macronucleoli could be applicable as the minimal criteria for the cytological diagnosis of papillary carcinoma. It is essential to remain in conservative diagnosis until the minimal criteria of papillary thyroid carcinoma is fulfilled. One single cytological feature of papillary carcinoma proves to be meaningless to conclude malignancy in Hashimoto’s thyroiditis since Hashimoto’s thyroiditis shows several overlapping features with papillary carcinoma.

In recent years, the safe and stable operation of electrified railways has attracted more and more attention. In particular, the stability of vehicle-grid coupling, which focuses on the phenomenon of vehicle-grid high frequency resonance (HFR), has become a hot research topic. Based on the instability mechanism of vehicle-grid coupling, and from the perspective of grid-side converter modulation strategy, measures to suppress HFR are further proposed. Based on the improvement of commonly used modulation strategies, Periodic Control Carrier Phase-Shift Pulse Width Modulation (PCCPS-PWM) is proposed, this solves the HFR problem caused by the switching characteristic frequency harmonics caused by the inaccurate phase shift angle between the grid-side converters. And it is verified by Matlab simulation and hybrid electric train sets.

In order to study the laws of surface subsidence due to mining coal under thick alluvium of Quandian mine, two survey lines were designed on the surface above the first face. By analyzing the position of the maximum subsidence point of the tendency survey line, the zenith angle was obtained, and the correctness of taking bedrock thickness instead of average mining depth to design the position of the trend survey line in the mining area was confirmed; and based on the analyses of the measured data, the critical size of the gob full opening in the geological and mining conditions didn't follow the general law that the gob would reach the critical size when the panel has moved for a distance of 1.2H0 - 1.4H0. These results showed that the bedrock played a major role in the spread of whole overburden subsidence in the geological and mining conditions, while the loose layer had less affection. In addition, based on the analyses of the measured data, some rock movement parameters and probability integral prediction parameters of the surface subsidence of Quandian mine in the geological and mining conditions have been obtained. The study would have some important theoretical significance and practical guidance for implementing mining beneath buildings, water bodies and railways and prevent of this coal field as well as surface structure damage control.

Poly(3,4-ethylenedioxythiophene) (PEDOT) is formed inside a metal–organic framework (MOF). MOF removal leads to sub-millimetre structures of the nanostructured conducting polymer., Reactions inside the pores of metal–organic frameworks (MOFs) offer potential for controlling polymer structures with regularity to sub-nanometre scales. We report a wet-chemistry route to poly-3,4-ethylenedioxythiophene (PEDOT)–MOF composites. After a two-step removal of the MOF template we obtain unique and stable macroscale structures of this conductive polymer with some nanoscale regularity.

Through quick, accurate and non-contact scan, Terrestrial 3D Laser Scanner can get high density point cloud data. But limited by the scanning range, Terrestrial 3D Laser Scanner could not finish scanning data at one time. Therefore, in order to reconstruct a three-dimensional model of the object, we must get the point cloud data from different perspectives; Next, finish the registration of the multi-view point data; Finally, realize the 3D visualization. The point cloud data registration is the key to the 3D visualization of complete object. Traverse survey is proposed as a new point cloud data registration method in this paper, this method is based on traversing principle, according to the conventional control survey, synchronization of scanning and control measure can be realized, and the efficiency of the Terrestrial 3D Laser Scanner will be improved. By comparing the result of different methods, the mean square error of a point got by the traverse survey data registration method is equally distributed and not affected by the time of registration. So, the point cloud data registration of traverse survey is with certain operability.

We address the problem of face recognition from image sets, where subject-specific subspaces instead of image vectors are compared. Previous methods based on Grassmannian subspace distances mainly take linear subspaces as input. The non-linearity exists when the input data contain complex structure such as pose changes. We generalize Grassmannian distances into high dimensional feature space with kernel trick to handle the underlying non-linearity in data. We show that kernel Grassmannian distances in feature space can be implicitly computed from the input data. Furthermore, we propose to use projection kernel in feature space for discriminant analysis. Comparisons with several state-of-the-art methods were performed on two databases, CMU PIE and YaleB. The proposed methods have demonstrated promising performance.

ZnO nanostructures were fabricated into flower-like nanoscale arrays by the hydrothermal growth of ZnO nanowires onto a self-assembled monolayer of polystyrene spheres on a glass substrate. Fluorescent molecules conjugated with streptavidin were incubated on glass with 3-(glycidoxypropyl) trimethoxysilane (GPTS) modified and biotinylated bovine serum albumin (bBSA) attached (GPTS–bBSA), aligned ZnO nanorod arrays and ZnO nanoflower arrays, respectively. An enhancement factor of up to 45 was obtained from ZnO nanoflower arrays, compared to less than 10 for the aligned nanorods. More importantly, using the same substrate, we observed a broadband fluorescence enhancement. The level of enhancement obtained from the nanoflower arrays is comparable with that from Metal Enhanced Fluorescence. The broadband nature of this process makes it an attractive alternative for fluorescent based device development.

In the base of the detailed analysis of dam safety monitoring expert system of knowledge, it is introduced that the method of expert system structure of knowledge and the characteristics of knowledge’s representation. Maxing the method and ANN to indicate dam safety and the physical structure of the knowledge base is studied. The reasoning strategy based on hybrid knowledge base is also discussed and the technical’s problems which forming mixing knowledge base should be paid attention to is analysed.

Genetic algorithm is a kind of random searching algorithm which utilizes natural selection and natural heritage mechanism. The main character of it is a strategy of group searching and information exchange among the individuals of a group, the search does not depend on gradient information. Combining the genetic algorithm with the neural network intelligent technology, utilizing neural network model and regarding genetic algorithm as weight evolutionary algorithm for GPS height conversion, this paper puts forward the basic ideas and realizing process. With the explanation of an example, the results shows that the algorithm used to convert the GPS height has better precision and certain practical value.

Bisphosphonates have been used to treat many bone diseases in clinic. Bisphosphonates have also been proven useful in the management of bone metastasis in patients with breast and prostate carcinoma as demonstrated in a number of trials in vitro and in vivo, but, it is little known that the effect of bisphosphonates on lung cancer, one of the most common bone metastatic malignant tumors. This study is to investigate the effect of several bisphosphonates on inhibiting proliferation of different lung cancer cell lines in vitro, and to validate whether this inhibitive effect is comprehensive or selective.The cytotoxic effect of bisphosphonates on lung cancer cells and human normal liver cells was determined by sulforhodamine B (SRB) assay.After incubation of lung cancer cells with bisphosphonates for 72h, the proliferation was inhibited in different degrees. The inhibiting activity of medronate (MDP) was the lowest, while the activity of ibandronate and incadronate (YM175) was between MDP and alendronate. The effects of bisphosphonates on human normal liver cells were different. The toxicity of MDP, ibandronate and YM175 was low, while alendronate had high toxicity. The sensitivity of lung cancer cells to bisphosphonates was also different. The sensitivity of H446 and SPC-A1 was comparatively lower, while H460 and A549 were more sensitive.Bisphosphonates can inhibit the proliferation of lung cancer cells and human normal liver cells in different degrees. The inhibiting effect is associated with the kind and concentration of bisphosphonates, and also the kind of lung cancer cells.

We developed an immunopathological staining of LAM-B antigen in formalin-fixed paraffin-embedded tissues, and compared it with, PGL-I immunostaining, Fite Faraco's stain and periodic acid carbol pararosaniline (PACPR) stain. Out of the total 28 leprosy cases, 27 were positive to LAM-B immunostaining while 23 were positive to PGL-I stain. Fite's stain was positive in 21 cases while PACPR stain was positive in 24 cases. In scrofuloderma, LAM-B antigen was observed only in the granuloma while no other positive findings were noted with other stains. Normal skin did not give any positive findings with any of the stains. Other dermatoses showed no positive findings to any of the stains tested. LAM-B staining was observed in the nerve even in the absence of bacilli in leprosy tissues. Presence of LAM-B in the cutaneous nerves is helpful in discriminating leprosy from other mycobacterioses. Considering the high sensitivity of LAM-B and the predilection of M. leprae for the nerves, we concluded that LAM-B staining can be a useful new tool in the prompt diagnosis of leprosy, especially in suspected or early cases.

Developed from biological options and natural genetic free-searching algorithm, the main characteristics of genetic algorithm are group searching strategy and exchange of information among individuals in one group, which isn`t relied on gradient information. With the combination of the genetic algorithm and neural network, the paper studies the conversion of GPS Height based on the genetic neural network model and updated algorithm by taking genetic algorithm as the weigh. The paper also discusses the basic idea of algorithm and realization of algorithm process. With some cases, it proves that applying genetic algorithm in the conversion of GPS Height has high precision and turns out to be practical.

Harada employed periodic acid-carbol pararosaniline and periodic acid-methenamine silver stain for demonstrating chromophobic bacilli which do not get stained with conventional carbol fuchsin or counter stain. This staining method takes considerable time for complete oxidation with periodic acid. We have succeeded in reducing the oxidation time by using hydrogen peroxide treatment prior to periodic acid and with the use of acidified sodium hydrogen sulfite treatment before carbol pararosaniline stain. We also found that in methenamine silver stain, combined use of semicarbazide and microwave treatment can shorten the whole staining time up to four hours without losing ito sensitivity.

This paper addresses issues on moving object tracking from videos. We propose a novel tracking scheme that jointly exploits local object features using consensus point correspondences, and global object appearance and shape models using adaptive particle filter-based eigen-tracking. The paper include the following main novelties: (a) employ consensus feature point correspondences to estimate the motion vector of shape model; (b) employ adaptive particle filters and motioncorrected state vector for joint appearance- and shape-based eigen-tracking. An adaptive number of particles is chosen automatically based on an updated estimation of covariancematrix. Further, online learning is made adaptive to avoid learning using partially-occluded objects. The proposed scheme is realized by integrating SURF and RANSAC [8, 9] for estimating consensus point correspondences, and modify an existing particle filter-based eigen-tracking [4]. Experiment results on tracking moving objects in videos have shown that the proposed scheme provides more accurate tracking, especially for objects with fast motion or long-term partial occlusions. The average number of particles is significantly reduced. Comparisons have been made with an existing method, results have shown that the proposed scheme has provided an improved tracking accuracy at the cost of more computations.

We propose a novel tracking scheme that jointly employs point feature correspondences and object appearance similarity. For selecting point correspondences, we use a subset of scaleinvariant point features from SIFT that agree with a pre-defined affine transformation. The selected consensus points are then used for pre-selecting candidate regions. For appearance similarity based tracking, we employ an existing anisotropic mean shift, from which the formula for estimating bounding box parameters (width, height, orientation and center) are derived. A switching criterion is utilized to handle the situation where only a small number of point correspondences is found. Experiments and evaluation are performed on tracking moving objects on videos where objects may contain partial occlusions, intersection, deformation and pose changes among other transforms. Our comparisons with two existing methods have shown that the proposed scheme has yielded marked improvement, especially in terms of reducing tracking drifts, of robustness to occlusions, and of tightness and accuracy of tracked bounding box.

We deal with the problem of landmine field detection using low-resolution infrared (IR) image sequences measured from airborne or vehicle-borne passive IR cameras. The proposed scheme contains two parts: a) employ a multi-scale detector, i.e., a special type of isotropic bandpass filters, to detect landmine candidates in each frame; b) enhance landmine detection through seeking maximum consensus of corresponding landmine candidates over image frames. Experiments were conducted on several IR image sequences measured from airborne and vehicle-borne cameras, where some results are included. As shown in our experiments, the landmine signatures have been significantly enhanced using the proposed scheme, and automatic detection results are reasonably good. These methods can therefore be applied to assisting humanitarian demining work for landmine field detection.

The multi-sections, which were stained by Fite method, of skin biopsies taken from twelve active BT cases were examined under the guidance of special stains for demonstration of nerve components. All cases were AFB positive. Bacilli were found in infiltrated nerves in 11 cases, of which, in 7 cases, bacilli were detected in nerve fragments within epithelioid cell granuloma. And bacilli were seen in arrector pili muscles in 2 cases. No bacilli were detected in other sites. Since the survival of M. leprae in nerves is one of the reasons causing relapse, this paper suggests that it would be better to treat active BT cases with multibacillary regimen recommended by WHO even though smear-negative.

A comparative study on the usefulness of Kawatsu's silver impregnating staining method compared with S-100 protein ABC technique for the differential diagnosis of tuberculoid leprosy was carried out. The results of neurohistological examination obtained from both methods were almost the same. It can be said that Kawatsu's method is useful and cost-effective, and thus suitable for practical use in developing countries.

This paper proposes a robust object tracking method in video where the time-varying principal components of object's appearance are updated online. Instead of directly updating the PCA-based subspace using matrix decomposition, the sub-space is updated by tracking on the Grassmann manifold. The object tracker performs two alternating processes: (a) online learning of principal component subspace; (b) tracking a moving object using the learned subspace and a particle filter. Learning a PCA-based subspace is performed by treating principal component decompositions as noisy measurements. The measurements are mapped onto the Lie algebra of the Grassmann manifold. The direction of movement of the subspace is then tracked in the Lie algebra using a Kalman filter. The filtered output is then mapped back onto the Grassmann surface to update the principal component-based subspace. This produces a more reliable learning of the subspace. Experiments have been conducted on face image sequences where heads were tilted in variable speed, partial face occlusion, along with changes in object depth and in illuminations. The results and evaluations have shown that the proposed method is robust against these changes when tracking moving objects.

This paper deals with tracking of face blobs containing pose changes. We propose a novel tracking method to deal with face pose changes during the tracking. In the method, tracking is formulated as an approximate solution to the MAP estimate of the state vector, consisting of a linear and a nonlinear part. Multi-pose face appearances are described by local linear models, each being related to a single pose and estimated by probabilistic PCA (PPCA). A Markov model with pose indices as its states is used to model the transitions between poses. Shape and locations of face blobs and the associated pose indices are assumed to be nonlinear, and are estimated by a Rao-Blackwellized particle filter (RBPF). This enables a separate estimation of the linear state vector through marginalizing the joint probability. The proposed method has been tested for videos containing frequent face pose changes and large illumination variations, where 5 poses (left, frontal, right, up, down) were modeled. The tracking results are shown to be robust to variable speed of pose changes and with relatively tight boxes.

Video surveillance has drawn increasing interests in recent years. This paper addresses the issue of moving object tracking from videos. A two-step processing procedure is proposed: an incremental 2DPCA (two-dimensional principal component analysis)-based method for characterizing objects given the tracked regions, and a ML (maximum likelihood) blob-tracking process given the object characterization and the previous blob sequence. The proposed incremental 2DPCA updates the row- and column-projected covariance matrices recursively, and is computationally more efficient for online learning of dynamic objects. The proposed ML blob-tracking takes into account both the shape information and object characteristics. Tests and evaluations were performed on indoor and outdoor image sequences containing a range of single moving object in dynamic backgrounds, which have shown good tracking results. Comparisons with the method using the conventional PCA were also made.

This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the problem. First, assumptions about segments are made by describing the joint probability distribution of pixel positions and colours within segments. Based on these assumptions, an optimal smoothing algorithm is derived under the ML condition. By studying the derived algorithm, we show that the solution is related to a two-stage mean shift which is separated in space and range. This novel ML-based approach takes a new kernel function. Experiments have been conducted on a range of images to smooth and segment them. Visual results and evaluations with 2 objective criteria have shown that the proposed method has led to improved results which suffer from less over-segmentation than the standard mean-shift.

An efficient framework utilizing both local features and geometrical distribution for detecting facial components is presented. First, candidate facial components are efficiently collected by cascaded boosting of Haar-like features. The candidates may include false positives and multiple detections. Then, geometrical distribution of facial components is imposed on the candidates to select the optimal configuration. For simplicity, we suppose full dependence between the components and model it with multivariate Gaussian. The effectiveness of the framework is evaluated with experiments.

A system aiming at detecting driver drowsiness or fatigue on the basis of video analysis is presented. The focus of this paper is on how to extract driver yawning. A real time face detector is implemented to locate driver's face region. Subsequently, Kalman filter is adapted to track face region. Further, mouth window is localized within face region and degree of mouth openness is extracted based on mouth features to determine driver yawning in video. The system will reinitialize when occlusion or miss-detect on happen. Experiments are conducted to evaluate the validity of the described method.

An investigation on the demonstration of PGL-I and LAM-B antigens in thirty-four paraffin embedded skin biopsies taken from leprosy patients who covered the whole spectrum of the disease and in four control specimens was carried out. Neither the PGL-I antigen nor the LAM-B antigen was demonstrated in the normal skin specimens that were used as negative control; and only the LAM-B antigen appeared in the tuberculosis specimens in which the PGL-I antigen was negative. The PGL-I antigen was demonstrated on thirty-three leprosy samples except one TT sample and the LAM-B antigen, on all samples by immunochemical staining technique. The antigens were identified as intracytoplasmic bacillary staining, in solitary, granular as well as debris patterns; and as soluble antigenic staining, in vacuolar or amorphous pattern. In LL and BL cases, the antigens were detected predominantly from macrophages and peripheral nerves in all five staining patterns; in BB cases, from macrophages mostly in the granular as well as debris patterns, from the nerves in the vacuolar pattern; while in TT and the majority of BT cases, they were mainly from nerve remnants inside the granuloma in the vacuolar or amorphous staining pattern. In addition, it is interesting to note that the immunochemical staining was able to differentiate the foamy change from the hydropic degeneration. We also found that the antigens distributed in arrector pili muscles and the walls of muscular vessels were obviously related to the unmyelinated nerve fibers innervating the smooth muscle cells.(ABSTRACT TRUNCATED AT 250 WORDS)

Video surveillance and object tracking have drawn increased interests in recent years. This paper addresses the problem of moving object tracking from image sequences captured from stationary cameras. Based on the previous work on video segmentation using joint space-time-range mean shift, we extend the scheme to enable the tracking of moving objects. Large displacements of pdf modes in consecutive image frames are exploited for tracking. We also improve the above mean shift-based video segmentation by introducing edge-guided merging of over-segmented regions. This can be viewed as an extension of the enhanced mean shift 2D image segmentation in [2] to the enhanced space-time-range mean shift video segmentation. Experiments have been conducted on several indoor and outdoor videos. Our preliminary results and performance evaluation have indicated the effectiveness of the proposed scheme.