RNON: image inpainting via repair network and optimization network.

In the last few years, image inpainting methods based on deep learning models had shown obvious advantages compared with existing traditional methods. The former can better generate visually reasonable image structure and texture information. However, the existing premier convolutional neural networks methods usually causes the problems of excessive color difference and image texture loss and distortion phenomenon.

Comprehensive Evaluation of Raw Eating Quality in 81 Sweet Potato ( (L.) Lam) Varieties.

The raw eating quality of sweet potato is complex. As consumers start paying more attention to the raw eating quality of tuberous roots in sweet potato, the evaluation of the raw eating quality of sweet potato is becoming an important issue. Therefore, we measured 16 quality indicators in 81 varieties of sweet potato.

Simulated adsorption of iodine by an amino-metal-organic framework modified with covalent bonds.

Radioactive iodine in nuclear waste is increasingly harmful to the human body and the environment because of its strong radioactivity, high fluidity, easy solubility in water, and long half-life. It is very important to find clean and economical materials to recover and fix radioactive iodine. In this paper, the amino-metal-organic framework was covalently modified to obtain composite materials to improve the recycling of iodine in the environment.

Interlayer Quasi-Bonding Interactions in 2D Layered Materials: A Classification According to the Occupancy of Involved Energy Bands.

Recent studies have revealed that the interlayer interaction in two-dimensional (2D) layered materials is not simply of van der Waals character but could coexist with quasi-bonding character. Herein, we classify the interlayer quasi-bonding interactions into two main categories (I: homo-occupancy interaction; II: hetero-occupancy interaction) according to the occupancy of the involved energy bands near the Fermi level. We then investigate the quasi-bonding-interaction-induced band structure evolution of several representative 2D materials based on density functional theory calculations.

Adsorption of Co(II) from aqueous solution using municipal sludge biochar modified by HNO.

Here adsorption studies were proposed on a carboxylated sludge biochar (CSB) material modified by HNO to assess its capacity in the removal of cobalt from aqueous solution. The as-prepared sludge biochar material was characterized by Brunauer-Emmett-Teller (BET) analysis, Fourier transform infrared (FT-IR) spectroscopy, thermogravimetric analysis (TGA), energy-dispersive spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS). The isotherm process could be well described by the Langmuir isotherm model.

Zinc-based triazole metal complexes for efficient iodine adsorption in water.

Radioactive iodine is extremely harmful to the environment, and it is of great significance to develop materials that efficiently remove iodine. We prepared two triazole metal complexes with simple method, denoted as Zn(tr)(OAc) and Zn(ttr)(OAc), which were used to adsorb iodine from aqueous solution. The properties and adsorption mechanism of the two materials were studied by different techniques including XRD, SEM, N porosimetry at 77 K, FTIR, TGA, elemental analysis (EDS), and X-ray photoelectron spectroscopy (XPS).

Density Peaks Clustering by Zero-Pointed Samples of Regional Group Borders.

Density peaks clustering algorithm (DPC) has attracted the attention of many scholars because of its multiple advantages, including efficiently determining cluster centers, a lower number of parameters, no iterations, and no border noise. However, DPC does not provide a reliable and specific selection method of threshold (cutoff distance) and an automatic selection strategy of cluster centers. In this paper, we propose density peaks clustering by zero-pointed samples (DPC-ZPSs) of regional group borders.

Removal of boron from water by GO/ZIF-67 hybrid material adsorption.

With the development of the boron industry, boron pollution is getting more and more serious, and excessive boron will harm human health. In this paper, graphene oxide was used as a template to prepare ZIF-67, and GO/ZIF-67 was successfully prepared. GO/ZIF-67 was used for the first time to remove boron from water.

The Novel Sensor Network Structure for Classification Processing Based on the Machine Learning Method of the ACGAN.

To address the problem of unstable training and poor accuracy in image classification algorithms based on generative adversarial networks (GAN), a novel sensor network structure for classification processing using auxiliary classifier generative adversarial networks (ACGAN) is proposed in this paper. Firstly, the real/fake discrimination of sensor samples in the network has been canceled at the output layer of the discriminative network and only the posterior probability estimation of the sample tag is outputted. Secondly, by regarding the real sensor samples as supervised data and the generative sensor samples as labeled fake data, we have reconstructed the loss function of the generator and discriminator by using the real/fake attributes of sensor samples and the cross-entropy loss function of the label.

Efficient elimination of Cr(VI) from aqueous solutions using sodium dodecyl sulfate intercalated molybdenum disulfide.

In recent years, the heavy metal ions have been immoderately released into the ecological system and result in potential hazardous to public health. Herein, the sodium dodecyl sulfate intercalated molybdenum disulfide (SDS-MoS) was synthesized for the adsorption of Cr(VI). The SDS molecule was flat and vertically intercalated into the interlayer of MoS, which was further evidenced by density functional theory calculations.

Rationally designed core-shell and yolk-shell magnetic titanate nanosheets for efficient U(VI) adsorption performance.

The hierarchical core-shell and yolk-shell magnetic titanate nanosheets (FeO@TNS) were successfully synthesized by employing magnetic nanoparticles (NPs) as interior core and intercrossed titanate nanostructures (NSs) as exterior shell. The as-prepared magnetic FeO@TNS nanosheets had high specific areas (114.9 m g for core-shell FeO@TNS and 130.

The role of graphene oxide and graphene oxide-based nanomaterials in the removal of pharmaceuticals from aqueous media: a review.

In this review paper, the ill effects of pharmaceuticals (PhAs) on the environment and their adsorption on graphene oxide (GO) and graphene oxide-based (GO-based) nanomaterials have been summarised and discussed. The adsorption of prominent PhAs discussed herein includes beta-blockers (atenolol and propranolol), antibiotics (tetracycline, ciprofloxacin and sulfamethoxazole), pharmaceutically active compounds (carbamazepine) and analgesics such as diclofenac. The adsorption of PhAs strictly depends upon the experimental conditions such as pH, adsorbent and adsorbate concentrations, temperature, ionic strength, etc.

Novel back propagation optimization by Cuckoo Search algorithm.

The traditional Back Propagation (BP) has some significant disadvantages, such as training too slowly, easiness to fall into local minima, and sensitivity of the initial weights and bias. In order to overcome these shortcomings, an improved BP network that is optimized by Cuckoo Search (CS), called CSBP, is proposed in this paper. In CSBP, CS is used to simultaneously optimize the initial weights and bias of BP network.

The study of randomized visual saliency detection algorithm.

Image segmentation process for high quality visual saliency map is very dependent on the existing visual saliency metrics. It is mostly only get sketchy effect of saliency map, and roughly based visual saliency map will affect the image segmentation results. The paper had presented the randomized visual saliency detection algorithm.

The research and application of visual saliency and adaptive support vector machine in target tracking field.

The efficient target tracking algorithm researches have become current research focus of intelligent robots. The main problems of target tracking process in mobile robot face environmental uncertainty. They are very difficult to estimate the target states, illumination change, target shape changes, complex backgrounds, and other factors and all affect the occlusion in tracking robustness.

Bis(thio-semicarbazide)nickel(II) bis-[2-(thio-semicarbazonometh-yl)benzene-sulfonate] dihydrate.

In the title compound, [Ni(CH(5)N(3)S)(2)](C(8)H(8)N(3)O(3)S(2))(2)·2H(2)O, the Ni(II) atom lies on a inversion centre and is four-coordinated by two N and two S atoms of two thio-semicarbazide ligands in an almost square-planar coordination. In the crystal structure, the molecules are linked into a three-dimensional network via C-H⋯O, C-H⋯N, N-H⋯O, N-H⋯S and O-H⋯O hydrogen bonds.

Hexaaqua-magnesium bis-(4-amino-3-methyl-benzene-sulfonate).

In the title mol-ecular salt, [Mg(H(2)O)(6)](C(7)H(8)NO(3)S)(2), the Mg(2+) cation lies on an inversion centre. In the crystal, the components are linked by N-H⋯O and O-H⋯O hydrogen bonds, thereby generating sheets parallel to (001).

Hexaaqua-cobalt(II) bis-(4-amino-3-methyl-benzene-sulfonate).

In the title mol-ecular salt, [Co(H(2)O)(6)](C(7)H(8)NO(3)S)(2), the Co(2+) cation lies on an inversion centre. In the crystal, the components are linked by N-H⋯O and O-H⋯O hydrogen bonds, thereby generating sheets parallel to (001).

4-(4-Diethyl-amino-2-hydroxy-benzyl-idene-ammonio)-3-methyl-benzene-sulfonate dihydrate.

In the crystal of the title compound, C(18)H(22)N(2)O(4)S·2H(2)O, mol-ecules are linked into a one-dimensional chain structure by C-H⋯O, N-H⋯O, O-H⋯O and O-H⋯N hydrogen bonds.

Tetra-aqua-bis[2-(thio-semicarbazonometh-yl)benzene-sulfonato]calcium(II).

In the title compound, [Ca(C(8)H(8)N(3)O(3)S(2))(2)(H(2)O)(4)], the Ca atom (site symmetry ) adopts a slightly distorted octa-hedral CaO(6) geometry and the mol-ecular conformation is stabilized by intra-molecular N-H⋯N inter-actions. In the crystal, the mol-ecules are linked by O-H⋯O, O-H⋯S, N-H⋯O and N-H⋯S hydrogen bonds.