An urban eco-environmental sensitive areas assessment method based on variable weights combination

When assessing urban eco-environmental sensitive areas (Urban Eco-ESAs) by multi-criteria evaluation method, the widely used weighted linear combination method may inevitably lead to some factors of high sensitive value being neutralized by other factors of low sensitive value, resulting in the neglect of some eco-sensitive areas as a consequence, while on the other hand, Boolean OR combination method, which give a result of high sensitive value as long as any factor has the value of high sensitivity and thus ignore the mutual compensation mechanism among ecological factors, can lead to excessively wide ranges of the eco-sensitive areas. To overcome the defects of these two methods, the authors propose an Urban Eco-ESAs synthesized assessment method giving finely controlled priority to bottleneck factors, and relative model based on selective local encouraging variable weights combination. The method is able to increase the weights of some eco-bottleneck factors on the basis of a weight-changing function in synthesizing multiple factor assessments as long as their assessment values break the bottleneck threshold values, which can guarantee the eco-sensitive areas identified by bottleneck factors being embodied in the final result, while also retain the compensation effect of multiple ecological factors, which makes the results of the assessment more reasonable. In order to deliver this empirical research, Taogang Town in China, which is adjacent to Net lake wetland nature reserve area, has been used as an example to confirm the validity of the method and the model

The Relationship Between Political Skill And Employee Voice Behavior From An Impression Management Perspective

This research focused on the self-serving motivation of voice behavior from an impression management perspective, different from the previous studies on the altruistic motivation. The purpose of this study was to construct a multilevel theoretical model that proposed how political skill operates to exercise effects on employee voice behavior in the context of organizational politics climate from an impression management perspective. We hypothesized the positive relationship between political skill and employee voice behavior, and the mediating role of impression-management motives, and then examined the cross-level effects of organizational politics climate on the individual-level employee voice phenomenon. An evaluation of research limitations, suggestions for future research, contributions to the literature and practical implications were discussed finally

Poly[[(μ2-2-amino-4,5-dimethybenzene­sulfonato-κ2 N:O)(μ2-2-methyl­pyrazine-κ2 N:N′)silver(I)] monohydrate]

In the title compound, {[Ag(C8H10NO3S)(C7H6N2)]·H2O}n, each AgI cation is four-coordinated by three N atoms from two different 2-methyl­pyrazine ligands and one –NH2 group of a 2-amino-4,5-dimethybenzene­sulfonate ligand, and by one sulfonate O atom, in a distorted tetra­hedral coordination geometry. The AgI centres are bridged by both types of ligands, forming a two-dimensional network. N—H⋯O hydrogen bonds and O⋯O inter­actions complete the structure

Bis[3-chloro-6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinato]nickel(II) tetra­hydrate

In the title complex, [Ni(C11H9ClN3O2)2]·4H2O, the Ni atom is coordinated by four N atoms and two O atoms derived from two tridentate 3-chloro-6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinate ligands. The cis-N4O2 donor set defines a distorted octa­hedral geometry. In the crystal structure, the complex and water mol­ecules are linked by O—H⋯O hydrogen bonds

TM-NET: Deep Generative Networks for Textured Meshes

We introduce TM-NET, a novel deep generative model for synthesizing textured meshes in a part-aware manner. Once trained, the network can generate novel textured meshes from scratch or predict textures for a given 3D mesh, without image guidance. Plausible and diverse textures can be generated for the same mesh part, while texture compatibility between parts in the same shape is achieved via conditional generation. Specifically, our method produces texture maps for individual shape parts, each as a deformable box, leading to a natural UV map with minimal distortion. The network separately embeds part geometry (via a PartVAE) and part texture (via a TextureVAE) into their respective latent spaces, so as to facilitate learning texture probability distributions conditioned on geometry. We introduce a conditional autoregressive model for texture generation, which can be conditioned on both part geometry and textures already generated for other parts to achieve texture compatibility. To produce high-frequency texture details, our TextureVAE operates in a high-dimensional latent space via dictionary-based vector quantization. We also exploit transparencies in the texture as an effective means to model complex shape structures including topological details. Extensive experiments demonstrate the plausibility, quality, and diversity of the textures and geometries generated by our network, while avoiding inconsistency issues that are common to novel view synthesis methods

Bis[6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinato-κ2 N 1,O 2]cadmium(II) 1.75-hydrate

In the title complex, [Cd(C11H10N3O2)2]·1.75H2O, the Cd atom is coordinated by four N atoms and two O atoms from two tridentate 6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinate ligands in a distorted cis-N4O2 octa­hedral geometry. Three water mol­ecules, with occupancies of 1.0, 0.5 and 0.25, complete the asymmetric unit. The components of the crystal structure are linked via hydrogen bonds, forming a three-dimensional network

[3-Chloro-6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinato](pyridine-2,6-dicarboxyl­ato)nickel(II) dihydrate

In the title compound, [Ni(C11H9ClN3O2)(C7H3NO4)]·2H2O, the NiII atom is coordinated by two N atoms and one O atom of 3-chloro-6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinate and by one N atom and two O atoms of pyridine-2,6-dicarboxyl­ate in a distorted octa­hedral coordination. In the crystal structure, mol­ecules are linked together by inter­molecular O—H⋯O hydrogen bonds. One water mol­ecule is disordered over two positions; the site occupancies are ca 0.53 and 0.47

Bis[6-(3,5-dimethyl-1H-pyrazol-1-yl)picolinato]manganese(II) trihydrate

In the title complex, [Mn(C11H10N3O2)2]·3H2O, the MnII atom is coordinated by four N atoms and two O atoms in a distorted octa­hedral geometry. The mol­ecules are linked together via hydrogen bonds involving the water molecules. One of these is disordered equally over two positions

(2-Amino-5-chloro­benzene­sulfonato-κO)bis­(3-methyl­isoquinoline-κN)silver(I)

The title compound, [Ag(C6H5ClNO3S)(C10H9N)2], crystallizes with two independent mol­ecules in the asymmetric unit. The Ag+ cation is three-coordinated by one O atom from the 2-amino-5-chloro­benzene­sulfonate anion and two N atoms from two different 3-methyl­isoquinoline ligands in a slightly distorted trigonal-planar geometry. In the crystal, network of inter­molecular N—H⋯O hydrogen-bonding inter­actions generates a chain along [100]