Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and ...the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identify. To bridge the gap, we introduce graph convolutional neural networks (GCNNs) to model places as a graph, where each place is formalized as a node, place characteristics are encoded as node features, and place connections are represented as the edges. GCNNs capture the knowledge of the relevant geographic context by optimizing the weights among graph neural network layers. A case study was designed in the Beijing metropolitan area to predict the unobserved place characteristics based on the observed properties and specific place connections. A series of comparative experiments was conducted to highlight the influence of different place connection measures on the prediction accuracy and to evaluate the predictability across different characteristic dimensions. This research enlightens the promising future of GCNNs in formalizing places for geographic knowledge representation and reasoning.
Celotno besedilo
Dostopno za:
BFBNIB, DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
In this paper, a parameterization level set method is presented to simultaneously perform shape and topology optimization of compliant mechanisms. The structural shape boundary is implicitly embedded ...into a higher-dimensional scalar function as its zero level set, resultantly, establishing the level set model. By applying the compactly supported radial basis function with favorable smoothness and accuracy to interpolate the level set function, the temporal and spatial Hamilton–Jacobi equation from the conventional level set method is then discretized into a series of algebraic equations. Accordingly, the original shape and topology optimization is now fully transformed into a parameterization problem, namely, size optimization with the expansion coefficients of interpolants as a limited number of design variables.
Design of compliant mechanisms is mathematically formulated as a general optimization problem with a nonconvex objective function and two additionally specified constraints. The structural shape boundary is then advanced as a process of renewing the level set function by iteratively finding the expansion coefficients of the size optimization with a sequential convex programming method. It is highlighted that the present method can not only inherit the merits of the implicit boundary representation, but also avoid some unfavorable features of the conventional discrete level set method, such as the CFL condition restriction, the re-initialization procedure and the velocity extension algorithm. Finally, an extensively investigated example is presented to demonstrate the benefits and advantages of the present method, especially, its capability of creating new holes inside the design domain.
The functions of cuticular hydrocarbons (CHCs) are varied in insects, but one example is to reduce water loss. Previous work has suggested that biosynthesis of CHCs is strongly related to the CYP4G ...sub-family. Targeting these genes in the brown planthopper,
Stål, might be a new application for integrated pest management. Therefore, we explored the functions of
(GenBank: KM217045.1) and
(GenBank: KM217046.1) genes in this study. The desiccation treatment (RH < 5%) for the duration of 1-3 days significantly increased the transcription level of
and
. RNAi through the injection of
and
dsRNA could significantly decrease their expression, respectively, and further reduced the biosynthesis of CHCs, i.e., saturated and straight-chain alkanes. When
and
were suppressed, the susceptibility of
nymphs to desiccation increased, due to the deficiency of the CHCs in the insect's cuticle. When the expression of
and
was decreased, this resulted in an increased rate of penetration of the four insecticides: pymetrozine, imidacloprid, thiamethoxam and buprofezin. Therefore,
and
appear to regulate the biosynthesis of CHCs in
nymphs, which play a major role in protecting insects from water loss and the penetration of insecticides.
and
might be used as a novel target in integrated pest management to
Alfalfa is a good green manure source, but its effect on rice growth has not been fully elucidated. Two green manure species, alfalfa and broad bean (Vicia faba L.), and two N fertilizer levels, ...alone or combination, were applied to a rice field. The results indicated that alfalfa had more pronounced effects on increasing soil labile phosphorus (P) fractions (including NaHCO
-Pi, NaOH-Pi), P uptake and soil enzyme activities (dehydrogenase, urease, acid phosphatase and β-glucosidase) than broad bean and N fertilizer. The transformation of NaHCO
-Po to labile P regulated by alfalfa played a significant direct and indirect effect on grain yield. Although a much lower N input from alfalfa addition, a similar grain yield with N fertilizer treatment was achieved, and the integration of alfalfa with N fertilizer produced the highest grain yield and P availability, which was associated with the highest urease, acid phosphatase and β-glucosidase activity in soil. These results indicate that alfalfa green manure had a great ability of increasing grain yield through enhancing P availability in rice paddy, which could give us a way to reduce N fertilizer application by enhancing P availability.
Collision-risk measurements are crucial for ships, as they are necessary for collision avoidance decision making. However, collision risks between ships have not been quantified in unified standards. ...In this study, a critical collision index is proposed to describe the critical degree of collision risks between ships. Based on the field theory, a collision-risk field was introduced to build a field strength model based on the collision index. The model synthetically considers the influences of distance at closest point of approach, time to closest point of approach, and the relative bearing of coming ships. Moreover, the real time to the closest point of approach was used for describing the collision risk between ships. In addition, encounter situations and collision risks in the field were simulated using the field strength model and isorisk lines. The results are in agreement with the real collision-risk perceptions of Officers on Watch. It was shown that the proposed ship critical collision index can play an important role in ship collision avoidance and early warning systems.
Various big geo-data provide a social sensing approach to measure spatial interactions. Existing studies often aggregate individual-level movement trajectories or social ties to obtain the ...interaction intensity between places, neglecting the detailed meanings (i.e. the semantics) behind spatial interactions. However, such meanings help to understand the relationship between two places, and consequently, the characteristics of both places. We argue that semantics can be extracted from spatial interactions through features of space, time, symmetry, and individual-based statistics. Whereafter the calculation and applications of the features are given. Furthermore, we discuss the construction of spatial interaction networks with semantics, as well as approaches to representing places according to spatial interactions. Finally, we illustrate the potential value of spatial interaction semantics in facilitating decision-making through an example in the context of tourism planning.
Acyl carrier protein (
) is an acyl carrier in fatty acid synthesis and is an important cofactor of fatty acid synthetase. Little is known about ACP in insects and how this protein may modulate the ...composition and storage of fatty acids. We used an RNAi-assisted strategy to study the potential function of ACP in
(Diptera: Stratiomyidae). We identified a
gene with a cDNA length of 501 bp and a classical conserved region of DSLD. This gene was highly expressed in the egg and late larval instars and was most abundant in the midgut and fat bodies of larvae. Injection of
significantly inhibited the expression level of
and further regulated the fatty acid synthesis in treated
larvae. The composition of saturated fatty acids was reduced, and the percentage of unsaturated fatty acids (
) was increased. After interfering with
, the cumulative mortality of
increased to 68.00% (
< 0.05).
growth was greatly influenced. The development duration increased to 5.5 days, the average final body weights of larvae and pupae were decreased by 44.85 mg and 14.59 mg, respectively, and the average body lengths of larvae and pupae were significantly shortened by 3.09 mm and 3.82 mm, respectively. The adult eclosion rate and the oviposition of adult females were also severely influenced. These results demonstrated that
regulates fatty acid content and influences multiple biological processes of
.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Green manure application has been a good fertility management for crop growth and soil quality, but its effect on greenhouse gas intensity (
GHGI
) and net ecosystem carbon budget (
NECB
) of rice ...ecosystem is not well understood. Two green manure species, alfalfa (
Medicago sativa
L.) and broad beans (
Vicia faba
L.), and two N fertilization levels (0 and 200 kg ha
−1
), alone or in combination, were applied to rice paddy soils in 2012 and 2013. The results show that the grain yields increased by 25.36, 29.81, and 41.85 % for the N fertilizer, N + broad bean, and N + alfalfa treatments, respectively, compared with the no fertilizer. CH
4
and N
2
O emissions increased by 50.77 and 36.11 %, 30.70 and 75.04 % in N + broad bean and N + alfalfa treatments, respectively, compared to N fertilizer treatment. The average CH
4
and N
2
O emissions were 37.47 and 63.22 % higher in 2013 than in 2012, respectively, whereas the average soil temperature during the rice growth period was 2.1 °C higher in 2013 than in 2012. The highest value in
GHGI
was associated with the N + broad bean treatment (with a high C/N ratio), while the
NECB
and mass of soil total carbon change (
MSTC)
were highest in the N + alfalfa treatment (with a low C/N ratio). This result indicates that high C/N ratio green manures had high grain yields yet increased
GHGI
, while low C/N ratio green manures had even higher grains yields with increased
NECB
and
MSTC
.