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Spatial feature matching is the key to detecting incremental changes in spatial data and extracting the updated information. The accuracy of spatial feature matching can depend on the structural organization of the data being compared; inconsistent data structures make comparison more difficult. OpenStreetMap (OSM) road network data, for example, is updated frequently to the point of being unstable, making the matching process used in information extraction susceptible to interference. To use OSM for comparison with other road data sources, this problem must be addressed. This paper proposes a new multi-scale dynamic matching algorithm based on a hierarchical stroke mesh (HSM) to detect matches between OSM data and professional surveying and mapping data and to update the change information. By improving the integrity and continuity of the stroke generation method and its algorithm for evaluating the importance of information, the algorithm proposed in this paper identifies the spatial hierarchy contained in the road network and abstracts the road network. The result is the HSM. The algorithm is based on multi-scale matching constraint rules designed from coarse to fine in terms of both resolution and granularity. It is used to detect one-to-one or one-to-many mapping relationships among different mesh levels (mesh, mesh boundary segment, and mesh inner segment). This allows progressive iterative matching between the older survey data and the newer OSM data. The results show that the HSM algorithm proposed in this paper can detect incremental changes between the two vector data sources quickly and accurately. Compared with others, this algorithm can effectively improve matching accuracy while sacrificing little performance.

The study of the temporal and spatial evolution of wetland landscapes and its driving factors is an important reference for wetland ecological restoration and protection. This article utilized seven periods of land use data in Henan Province from 1980 to 2015 to extract the spatial distribution characteristics of wetlands and analyze the temporal and spatial changes of wetlands in Henan Province. Transfer matrix, landscape metrics, correlation analysis, and redundancy analysis were applied to calculate and analyze the transformation types and area of wetland resources between all consecutive periods, and then the main driving factors of wetland expansion/contraction were explored. First, the total wetland area in Henan Province increased by 28% from 1980 to 2015, and the increased wetland area was mainly constructed wetlands, including paddy field, reservoir and pond, and canal. Natural wetlands such as marsh, lake, and floodplain decreased by 74%. Marsh area declined the most during 1990–1995, and was mainly transformed into floodplain and “Others” because of agricultural reclamation, low precipitation, and low Yellow River runoff. The floodplain area dropped the most from 2005 to 2010, mainly converted to canals and “Others” because of reclamation, exploitation of groundwater, the construction of the South–to–North Water Transfer Project, and recreational land development. Second, the results of correlation analysis and redundancy analysis indicated that economic factors were positively correlated with the area of some constructed wetlands and negatively correlated with the area of some natural wetlands. Socioeconomic development was the main driving factors for changes in wetland types. The proportion of wetland habitat in Henan Province in 2015 was only 0.3%, which is low compared to the Chinese average of 2.7%. The government should pay more attention to the restoration of natural wetlands in Henan Province.

The SUMO (small ubiquitin-related modifier)-specific proteases (SENPs) are responsible for the cleavage of SUMO from its target proteins, thus play important roles in the dynamic SUMOylation and deSUMOylation processes. SENPs are related to a variety of human diseases including cancer and represent a new class of potential therapeutic targets with mechanism of action that is likely to be different from that of current clinically used drugs. However, potent inhibitors that are selective within the SENPs family members still remain a challenge due to their high homology. In order to demonstrate the feasibility of developing selective inhibitors within the SENPs family, we chose SENP1/2/5 as representatives, aiming to identify inhibitors with selectivity among the members. Starting from a hit compound ZCL951 from virtual screening, a series of benzothiophene-2-carboxamide inhibitors were designed based on the protein structures of SENP1, 2, and 5. First, an unoccupied hydrophobic pocket was first identified which led to IC50 as low as 0.56 μM. Furthermore, the ethylacetate 77 gave both submicromolar inhibitory activity and 33-fold selectivity for SENP2 versus SENP5. They are the most potent and selective nonpeptidic inhibitor reported so far for the SENPs family, as far as we are aware. Their structure-activity relationship was also discussed.

The traveling salesman problem (TSP) is a classic combinatorial optimization problem. As a hot research problem, it has been applied in many fields. Since there is currently no algorithm with good performance that can perfectly solve this problem, for the solution of the traveling salesman problem, this article first establishes a mathematical model of the traveling salesman problem, and uses four solving methods for the same case: the greedy method, Branch and bound method, dynamic programming method and genetic algorithm, analyze the applicability and accuracy of different algorithms in the same case.

The ARIMA model analyzes and predicts the total port throughput of Shanghai Port since its inception in 2016. The mathematical model is used to predict the port throughput, which provides a scientific basis for its formulation of port development strategies and is of great significance to ensure the sustainable development of the port.

Accurate light irradiation towards phytochrome has been considered as a key method to improve the efficiency of plant cultivation. In this work, a series of far red-emitting Mn4+-activated SrGd2Al2O7(SGAO) phosphors were synthesized by high temperature solid-state reaction. Under excitation at 330 nm, the optimized SGAO:0.1%Mn4+ phosphor exhibits intense far-red emission in narrow range of 701–740 nm, which matches well with the absorption of phytochrome PFR and excludes from that of the phytochrome PR. Moreover, the SGAO:0.1%Mn4+ sample exhibits considerable thermal quenching of far-red emission towards temperature, the emission intensity around 719 nm at 423 K was approximately 33% of that at room temperature. Also, the crystal field strength Dq, the Racah parameters B and C, and the nephelauxetic ratio β1 of SGAO: Mn4+ were calculated and discussed. The results provide a reference for developing new high-efficient far-red-emitting phosphor towards indoor plant growth LEDs.

Spatially-explicit, fine-scale mapping of poor population distribution at a village level is a necessary prerequisite for developing precise anti-poverty strategies in rural China. To address the data missing of poor population at a village scale, we proposed a modeling methodology from the perspective of spatial poverty, integrating BP and MGWR-SL (Mixed Geographically Weighted Regression model with Spatially Lagged dependent variable) that correspond to population estimation and poverty incidence estimation, respectively, to explore a more accurate and detailed village-level poor population distribution. Furthermore, we justified the accuracy, reliability, and scale effects of the model by using GIS spatial analysis and cross-validation. From the case test, we found that, the proposed model could characterize poor population distribution more accurately than other existing methods, resulting in that the errors of both population spatialization and poverty incidence for each village are less than 5% at a 500 * 500 m grid scale. It can also be inferred that the spatialization of socioeconomic data at a fine scale should take into full account of spatial heterogeneity and spatial autocorrelation for both dependent and independent variables, so as to improve the modeling accuracy. This study may provide a perspective for better understanding the detailed and accurate poverty status of data–scarce village in poverty-stricken rural areas, and serves as a scientific reference regarding decision-making in both promoting “entire-village advancement” anti-poverty harmonious development and constructing the new countryside of China.

SUMOylation, as a post-translational modification of proteins, plays essential regulatory roles in a variety of pathological conditions. In the dynamic process of SUMOylation and deSUMOylation, SENPs (SUMO-specific proteases), in charge of deconjugation of SUMO (small ubiquitin-related modifier) from substrate proteins, have recently been found to be potential therapeutic targets for cancer treatment. A reliable and practical assay is much needed to accelerate the discovery of SENPs inhibitors. We established a quantitative assay based on readily available SDS-PAGE-Coomassie system using RanGAP-SUMO as the substrate, thus avoiding the use of expensive fluorescent dyes or the error-prone fluorescent reporter. Its reproducibility and reliability were also evaluated in this report.

This paper deals with a ratio-dependent predator–prey system with a crowding term in the prey equation, where it is assumed that the coefficient of the functional response is less than the coefficient of the intrinsic growth rates of the prey species. We demonstrate some special behaviors of solutions to the system which the coexistence states of two species can be obtained when the crowding region in the prey equation only is designed suitably. Furthermore, we demonstrate that under some conditions, the positive steady state solution of the predator–prey system with a crowding term in the prey equation is unique and stable. Our result is different from those ones of the predator–prey systems without the crowding terms.

In recent years, Located Based Service (LBS) has become one of the hotspots on the application of geographic information to the government and the public. Providing a good performance map to the users is an important part of the location service system. Compared with the traditional web spatial information service system, service system of map information also put forward higher requirements of real time and veracity. The problem of updating electronic map in real-time cannot be effectively solved, hindering the updating of multi-scale electronic map and restricting the development of location service market. As a very important branch for the updating data field of geographic information science, incremental update has become a hot issue in the current international GIS research field. The extraction of incremental information includes two key technologies, namely road network matching and road network selection. After incremental updating roads were inserted into the database, coordinating topological conflicts caused by these inserted roads was the mainly task. However, the accuracy and algorithm efficiency of each technology need further improvement to provide the users with the latest and the most accurate basic geographic data. As the "skeleton" element of a map, the road network rapidly changes, carrying out more urgent requires for the incremental road update. Aiming at key technology problems of the updated road network, the paper focused on the following three parts:(1) To address the problems that the traditional probabilistic relaxation method only adopted geometric constraints as one of road matching criterions and could not respond to M: N matching pattern, an improved probabilistic relaxation method was proposed from the combined views of local optimization and global one, integrating geometric indicators with topology ones to achieve an effect with local optimization, as well as identifying M: N matching pattern by inserting virtual nodes to achieve a globally optimal effect. Then the matching strategies and corresponding implement algorisms were designed for different matching patterns. The case test showed that the overall matching accuracy of each evaluation indictor reached over 90%, increasing by 6%–12%; the evaluation indicators on both spatial and attribute properties increased by 4%–6%; the proper buffer threshold could be defined as twice the average value of the closest distances from all nodes in the candidate matching dataset.(2) Aiming at the low accuracy and irrational structural selection caused by only using linear pattern or areal pattern, an improved method was proposed combining linear method as well as areal ones. The proposed method improves the Stroke generation algorithm of linear pattern using OLS model taking the overall information from the roads to be connected. Meanwhile, it partitioned road network by weighted Voronoi diagrams. The roads were selected under the process of calculating the importance of Stroke and its road density threshold. The test demonstrated that the improved method added the accuracy of Stroke generation results, and the results of road selection could maintain the overall characteristics of the road network as well as its spatial distribution information. Compared with method only using one pattern, the combined method had a better accuracy of road selection.(3) According to the characteristics of detection topology for an updated road network, this paper proposed a topology conflict detection algorithm considering the incremental update of multi-scale network. The algorithm designed K-level topological neighbourhood to identify incremental neighbourhood road segments, built a topological refinement model based on geometric metrics, proposed checking rules based on comprehensive operation operator, and detected the conflict topology by using improved topological distance. The experimental results showed that 1) the accuracy and recall of the proposed method were more than 90%; 2) considering conflict topology caused by the generalization, the accuracy increased by 29.2%; 3) the average path length of a road network could be used as the reference of the best K-value in the K order incremental neighbourhood method.

The small ubiquitin-related modifier (SUMO)-specific proteases (SENPs) catalyze the deconjugation of SUMO from their substrate proteins. SENP1 which is the most studied isoform is closely related to many cancers such as prostate cancer and colon cancer, thus representing a potential therapeutic target for cancer treatment. In the present study, we identified eleven SENP1 inhibitors representing a variety of scaffolds through in silico screening. Based on these scaffolds, a series of new compounds were designed and synthesized in order to improve their SENP1 inhibitory potency. As a result, compounds with IC50 as low as 3.5 μM (compound 13m) were obtained and a preliminary structure-activity relationship was discussed.

SUMMARY This paper describes an improved local search method for synthesizing arbitrary Multiple-Valued Logic (MVL) function. In our approach, the MVL function is mapped from its algebraic presentation (sumof-products form) on a multiple-layered network based on the functional completeness property. The output of the network is evaluated based on two metrics of correctness and optimality. A local search embedded with chaotic dynamics is utilized to train the network in order to minimize the MVL functions. With the characteristics of pseudo-randomness, ergodicity and irregularity, both the search sequence and solution neighbourhood generated by chaotic variables enables the system to avoid local minimum settling and improves the solution quality. Simulation results based on 2variable 4-valued MVL functions and some other large instances also show that the improved local search learning algorithm outperforms the traditional methods in terms of the correctness and the average number of product terms required to realize a given MVL function.

Based on the clonal selection principle proposed by Burnet, in the immune response process there is no crossover of genetic material between members of the repertoire, i.e., there is no knowledge communication during different elite pools in the previous clonal selection models. As a result, the search performance of these models is ineffective. To solve this problem, inspired by the concept of the idiotypic network theory, an expanded lateral interactive clonal selection algorithm (LICS) is put forward. In LICS, an antibody is matured not only through the somatic hypermutation and the receptor editing from the B cell, but also through the stimuli from other antibodies. The stimuli is realized by memorizing some common gene segment on the idiotypes, based on which a lateral interactive receptor editing operator is also introduced. Then, LICS is applied to several benchmark instances of the traveling salesman problem. Simulation results show the efficiency and robustness of LICS when compared to other traditional algorithms.

The clonal selection algorithm (CS), inspired by the basic features of adaptive immune response to antigenic stimulus, can exploit and explore the solution space parallelly and effectively. However, antibody initialization and premature convergence are two problems of CS. To overcome these two problems, we propose a chaotic distance-based clonal selection algorithm (CDCS). In this novel algorithm, we introduce a chaotic initialization mechanism and a distance-based somatic hypermutation to improve the performance of CS. The proposed algorithm is also verified for numerous benchmark traveling salesman problems. Experimental results show that the improved algorithm proposed in this paper provides better performance when compared to other metaheuristics.

金沢大学理工研究域電子情報学系, In this paper, we propose a stochastic dynamic local search (SDLS) method for Multiple-Valued Logic (MVL) learning by introducing stochastic dynamics into the traditional local search method. The proposed learning network maintains some trends of quick descent to either global minimum or a local minimum, and at the same time has some chance of escaping from local minima by permitting temporary error increases during learning. Thus the network may eventually reach the global minimum state or its best approximation with very high probability. Simulation results show that the proposed algorithm has the superior abilities to find the global minimum for the MVL network learning within reasonable number of iterations. Copyright © 2007 The Institute of Electronics, Information and Communication Engineers.

In 1997–1998, the reproductive biology of Pedicularis bidentata, Pedicularis cranolopha, Pedicularis davidii, Pedicularis longiflora var. hongyuanensis, Pedicularis longiflora ssp. tubiformis, Pedicularis plicata, Pedicularis polyodonta, Pedicularis rhinanthoides ssp. labellata, Pedicularis roylei, Pedicularis semitorta, Pedicularis spicata and Pedicularis verticillata was studied in the subalpine–alpine zone of the Chinese Himalaya in western Sichuan Province. Except for Apis pollinators on P. polyodonta and P. spicata, only workers and queens of Bombus filchnerae, Bombus patagiatus, Bombus potanini, Bombus sichelii and Bombus waltoni pollinated Pedicularis. Nectariferous, erostrate flowers were pollinated nototribically and sternotribically, during foraging for nectar and pollen, respectively, whereas nectarless, rostrate (including very long-tubed) flowers were pollinated sternotribically during foraging for pollen only. Insect exclusion from flowers revealed that P. longiflora ssp. tubiformis, P. roylei and P. verticillata are insect-pollinator dependent. Analysis of the corbicular pollen loads of pollinators revealed a moderate degree of pollen-foraging fidelity. Pollinator frequency on Pedicularis did not exceed three insects per hour, but Bombus pollinators were more common on other plant genera. No evidence of lepidopteran pollination on long-tubed Pedicularis species was found, nor was there any evidence of species–species specificity between Bombus pollinators and Pedicularis flowers.

The paper presents the dynamic change of wetland landscape pattern from 2002 to 2009 using RS and GIS technology along the lower Yellow River. Results show that: (1) the total area of wetland reduces obviously. (2) Disturbed by human activity, landscape diversity index ascends. (3) The total area of the rice wetland and mud flat decreases while the other area increases.

Background Interest in lycopene metabolism and regulation is growing rapidly because accumulative studies have suggested an important role for lycopene in human health promotion. However, little is known about the molecular processes regulating lycopene accumulation in fruits other than tomato so far. Results On a spontaneous sweet orange bud mutant with abnormal lycopene accumulation in fruits and its wild type, comparative transcripts profiling was performed using Massively Parallel Signature Sequencing (MPSS). A total of 6,877,027 and 6,275,309 reliable signatures were obtained for the wild type (WT) and the mutant (MT), respectively. Interpretation of the MPSS signatures revealed that the total number of transcribed gene in MT is 18,106, larger than that in WT 17,670, suggesting that newly initiated transcription occurs in the MT. Further comparison of the transcripts abundance between MT and WT revealed that 3,738 genes show more than two fold expression difference, and 582 genes are up- or down-regulated at 0.05% significance level by more than three fold difference. Functional assignments of the differentially expressed genes indicated that 26 reliable metabolic pathways are altered in the mutant; the most noticeable ones are carotenoid biosynthesis, photosynthesis, and citrate cycle. These data suggest that enhanced photosynthesis and partial impairment of lycopene downstream flux are critical for the formation of lycopene accumulation trait in the mutant. Conclusion This study provided a global picture of the gene expression changes in a sweet orange red-flesh mutant as compared to the wild type. Interpretation of the differentially expressed genes revealed new insight into the molecular processes regulating lycopene accumulation in the sweet orange red-flesh mutant.