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A novel fault diagnosis method based on Improved Singular Value Decomposition (SVD), S-transformation and Improved Convolutional Neural Networks (ICNN) is proposed for the non-stationary, nonlinear, interfered by strong background noise and difficult feature extraction problems of rolling bearing vibration signal of the road heading machine. Firstly, the original signal is constructed into a Hankel matrix which was decomposed by SVD. The effective singular values are selected according to the curvature spectrum of the singular values for signal recon-struction, and the reconstructed signals are transformed by S to generate the feature map, which is input into ICNN adaptive feature extraction for the fault identification. Secondly, the im-proved convolutional neural network uses VGG16 as a Bottleneck structure, introduces the bot-tleneck structure, selects input data with different sizes for feature extraction, adds Fine Tune on the basis of ICNN, and finally realizes fault classification and recognition through network pa-rameter adjustment. The proposed method is applied to the fault diagnosis of road heading ma-chine rolling bearings, and the accuracy rate is 98.2%, which is 9.55% higher than the classic VGG16 model.

Side-chain engineering has been acknowledged as an ingenious method to regulate material crystallinity, miscibility and microstructure to achieve favorable photovoltaic performance.

The widespread use of fluorescence microscopy has prompted the ongoing development of tools aiming to improve resolution and quantification accuracy for study of biological questions. Current calibration and quantification tools for fluorescence images face issues with usability/user experience, lack of automation, and comprehensive multidimensional measurement/correction capabilities. Here, we developed 3D-Speckler, a versatile, and high-throughput image analysis software that can provide fluorescent puncta quantification measurements such as 2D/3D particle size, spatial location/orientation, and intensities through semi-automation in a single, user-friendly interface. Integrated analysis options such as 2D/3D local background correction, chromatic aberration correction, and particle matching/filtering are also encompassed for improved precision and accuracy. We demonstrate 3D-Speckler microscope calibration capabilities by determining the chromatic aberrations, field illumination uniformity, and response to nanometer-scale emitters above and below the diffraction limit of our imaging system using multispectral beads. Furthermore, we demonstrated 3D-Speckler quantitative capabilities for offering insight into protein architectures and composition in cells.

In this work, modified g-C3N4 was fabricated successfully by calcination of ionic liquid (IL) and urea. The addition of IL changed the polymerization mode of urea, induced the self-assembly of urea molecules, modified the morphological structure of the tightly packed g-C3N4, and extended the electron conjugation system. When using 1-butyl-3-methylimidazolium chloride ([Bmim]Cl) as a modifier, the heteroatom Cl could be inserted into the g-C3N4 to optimize the electronic structure. The results of characterizations indicate that the unique structure of modified g-C3N4 has an expanded electron delocalization range, introduces an interlayer charge transmission channel, promotes the charge transmission, reduces the band gap, enhances the absorption of visible light, and inhibits electron-hole recombination. Modified g-C3N4 showed excellent photocatalytic performance for the degradation of rhodamine B and tetracycline. Furthermore, the effect of different anions in 1-butyl-3-methylimidazolium salts ([Bmim]Cl, [Bmim]Br, [Bmim][BF4], and [Bmim][PF6]) on the structure and function of g-C3N4 are discussed.

Due to its excellent bone conductivity and drug adsorption as well as pH-responsive drug release property, hydroxyapatite (HAp) is widely used as a drug carrier in bone repair field. Here, we report for the first time a novel multi-functional polydopamine (PDA) coated Cu/F-codoped HAp (Cu/F-HAp-PDA) hollow microspheres. Both Cu

Background: The role of circulating tumor DNA (ctDNA) in monitoring response to immunotherapy in NSCLC is unconfirmed. This is a retrospective analysis of association between longitudinal ctDNA levels and clinical outcomes in 1L TIS (anti-PD-1) + chemo-treated patients (pts) with nonsquamous or squamous NSCLC from RATIONALE-304 (NCT03663205) and 307 (NCT03594747), respectively. Methods: Blood samples were collected at baseline (BL), first response (FR, complete or partial response assessed by investigators), and progressive disease (PD). ctDNA level was tested by OncoScreen Plus520 (Burning Rock) and the variant allele fraction categorized as undetectable (UD)/detectable (D). Paired ctDNA analysis of BL and post-BL (FR or PD) values was by Wilcoxon sign-rank test. Median PFS and OS was calculated by Kaplan-Meier methodology. PD-L1 expression stratified Cox model was used to evaluate the effect of ctDNA on PFS and OS for BL and FR (adjusted with BL ctDNA) in each study. Impact of other BL characteristics was also assessed. Results: Of 217 pts treated with TIS + chemo in RATIONALE-304, 76 (35%) at BL, 40 (18%) at FR, and 30 (14%) at PD had ctDNA results. Of 238 pts treated with TIS + chemo in RATIONALE-307, 80 (34%) at BL, 65 (27%) at FR, and 33 (14%) at PD had ctDNA results. Paired ctDNA analysis showed significantly decreased ctDNA levels from BL to FR (P Conclusions: FR ctDNA level is decreased from BL, and seems to correlate with clinical outcomes of 1L TIS in combination with chemotherapy in NSCLC; ctDNA has potential to be a surrogate biomarker for efficacy. This requires further prospective validation. Acknowledgments: This study was sponsored by BeiGene, Ltd. Medical writing support, under the direction of the authors, was provided by Simon Lancaster, BSc, of Ashfield MedComms, an Inizio company, and was funded by BeiGene, Ltd. Table. Analysis summary of ctDNA and PFS/OS by visit Baseline (BL) First response (FR) Study RATIONALE-304 RATIONALE-307 RATIONALE-304 RATIONALE-307 ctDNA UD D UD D UD D UD D n 19 57 8 72 32 8 43 22 mPFS, mo (95% CI)a 9.23(5.75, 9.89) 9.69(7.33, 14.52) NR(4.93, NR) 9.76(7.52, 14.55) 17.31(9.89, NR) 9.20(3.71, 11.99) 20.01(9.82, NR) 9.56(7.39, 13.9) PFS HR (95% CI), UD/D 1.14 (0.61, 2.21) 0.40 (0.09, 1.73) 0.16 (0.05, 0.5) 0.54 (0.24, 1.21) PFS P-valueb 0.6421 0.2205 0.0019 0.1322 mOS, mo (95% CI) NR(9.72, NR) NR(14,23, NR) NR(NR, NR) NR(16.89, NR) NR(NR, NR) 18.78(9.92, NR) NR(NR, NR) NR(12.85, NR) OS HR (95% CI), UD/D 1.04 (0.48, 2.25) NE 0.16 (0.04, 0.69) 0.48 (0.15, 1.51) OS P-valueb 0.9254 NE 0.0147 0.2079 aPrimary endpoint assessed by IRC; bP-values are reported for descriptive purposes only in this exploratory study. Abbreviations: CI, confidence interval; D, detectable ctDNA status; HR, hazard ratio; IRC, independent review committee; mo, months; mOS, median overall survival; mPFS, median progression-free survival; NE, not evaluable; NR, not reached; OS, overall survival; PFS, progression-free survival; UD, undetectable ctDNA status Citation Format: Shun Lu, Jie Wang, Meili Sun, Jun Zhao, Chunhong Hu, Mengzhao Wang, Jianying Zhou, Yong Song, Qinghua Zhou, Jiayuan Zhang, Yang Shi, Ruiqi Huang, Xikun Wu, Wanyu He, Xiaofei Qu, Yun Zhang, Zhirong Shen, Yan Yu. Longitudinal ctDNA levels and clinical outcomes of first-line (1L) tislelizumab (TIS) + chemotherapy (chemo) treatment for advanced non-small cell lung cancer (NSCLC) in the RATIONALE-304 and 307 studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr LB289.

Constructing a highly efficient and stable photocatalyst is a promising strategy to protect the environment. In this work, we creatively synthesized a novel CdS/Bi4NbO8Cl heterostructured photocatalyst by in situ hydrothermal method. By using ciprofloxacin as target antibiotic residue pollutant, it is found that the CdS/Bi4NbO8Cl shows improved photocatalytic efficiency compared to bare CdS or Bi4NbO8Cl, and the photocatalytic activity of CdS/Bi4NbO8Cl with the molar ratio of 0.3 is the highest, reaching about 90%. X-ray diffraction, scanning electron microscope, and transmission electron microscope were employed to study the composition, morphology, and structure of the composite photocatalysts, while UV–vis diffuse reflection (UV–vis DRS), photoluminescence, transient photocurrent response, electrochemical impedance spectroscopy, and Mott–Schottky plots together show that the significant improvement in photocatalytic activity is due to synergistic effects of enhanced light harvesting and separation of photo-induced charges carriers, caused by the intimate contact between CdS and Bi4NbO8Cl. It is expected that the facile, low-cost method and the excellent performance of the synthesized photocatalyst in this paper can contribute to the management of water pollution.

A strategy to improve its photocatalytic performance is still a challenge for the novel Sillen–Aurivillius perovskite type Bi4NbO8Br. Herein, novel Pt modified Bi4NbO8Br composites (Pt/BNB) with sufficient oxygen vacancies were successfully fabricated via a facile in situ chemical reduction method. For one thing, the deposition of Pt nanoparticles brings about a Mott–Schottky effect at the interface to accept photo-induced electrons, leading to an efficient charge separation. For another thing, the electronic metal–support interaction of Pt and Bi4NbO8Br decreases the formation energy of oxygen defects, which could serve as active sites for O2 activation. On account of the synergetic effect of Pt and oxygen vacancies, the dominant active species-photogenerated holes are accumulated on the surface of the photocatalysts, while the additional superoxide radicals are also involved. Hence, Pt/BNB performed with excellent photocatalytic activities in the degradation of wastewater contaminants, and the kinetic rate was 4.64, 10.21, 5.53, 9.80, 1.71 and 4.05 times, respectively, those of pristine Bi4NbO8Br towards methyl orange, rhodamine B, 2,4-dichlorophenol, p-nitrophenol, ciprofloxacin and tetracycline hydrochloride.

This paper proposes a network anomaly detection model of direct batch growing hierarchical self-organizing mapping based on entropy, which facilitates clear topology representation for the asymmetrically-distributed data. Since the entropy-defined parameters dynamically vary with the incident dataset, that is, follow a data-adaptive manner, the proposed model is naturally valid in all cases with various data types. For fine-grained data distinguishing, a resemble entropy parameter is proposed for the first time to our best knowledge. The experimental results validate that the proposed model achieves a more efficient network anomaly detection than the conventional models, especially for real-world applications with unexpected anomaly data updating.

Since the photocatalytic effect of a single conventional photocatalyst is often not ideal, it is particularly important to design and construct an efficient and stable photocatalyst in a compound way. In this study, we exploited the sol–gel method to combine BiOCl and TiO2 and gave full play to their respective advantages to prepare BiOCl/TiO2 composite materials. Then, X-ray diffraction (XRD), scanning electron microscope (SEM), and transmission electron microscope (TEM) characterization techniques were utilized to study important indicators of composites—composition, morphology, and structure. In the photodegradation experiment of methyl orange (MO), it was found that the photocatalytic performance of 10BTO (the molar ratio of TiO2 to BiOCl is 10:1) was the best among all the composite photocatalysts, and almost complete degradation of MO was realized. Besides, repeated experiments and recyclability tests on composite materials display favorable stability. Through ultraviolet–visible diffuse reflectance spectroscopy (UV–Vis DRS), photoluminescence (PL), transient photocurrent response, electrochemical impedance spectroscopy (EIS), and electron spin resonance (ESR), a possible degradation mechanism is proposed. Given that there are serious environmental pollution problems in our country, we sincerely hope this research will do its best to degrade organic pollutants in wastewater.

Genome‐wide association studies (GWAS) have identified some single nucleotide polymorphisms (SNPs) associated with the risk of gastric cancer (GCa). However, currently, there is no published predictive model to assess the risk of GCa. In the present study, risk‐associated SNPs derived from GWAS and large meta‐analyses were selected to construct a predictive model to assess the risk of GCa. A total of 1115 GCa cases and 1172 controls from the eastern Chinese population were included. Logistic regression models were used to identify SNPs that correlated with the risk of GCa. A predictive model to assess the risk of GCa was established by receiver operating characteristic curve analysis. Multifactor dimensionality reduction (MDR) and classification and regression tree (CART) were applied to calculate the effect of high‐order gene‐environment interactions on risk of the cancer. A total of 42 SNPs were selected for further analysis. The results revealed that ASH1L rs80142782, PKLR rs3762272, PRKAA1 rs13361707, MUC1 rs4072037, PSCA rs2294008, and PLCE1 rs2274223 polymorphisms were associated with a risk of GCa. The area under curve considering both genetic factors and BMI was 3.10% higher than that of BMI alone. MDR analysis revealed that rs13361707 and rs4072307 variants and BMI had interaction effects on susceptibility to GCa, with the highest predictive accuracy (61.23%) and cross‐validation consistency (100/100). CART analysis also supported this interaction model that non‐overweight status and a six SNP panel could synergistically increase the susceptibility to GCa. The six SNP panel for predicting the risk of GCa may provide new tools for prevention of the cancer based on GWAS and large meta‐analyses derived genetic variants., We identifed a six‐SNPs panel from GWAS and large meta‐analysis for predicting risk of gastric cancer, which may provide new tools for gastric cancer prevention.

The solute carrier family 52 member 3 (SLC52A3) gene encodes riboflavin transporter protein which is essential to maintain mitochondrial function in cells. In our research, we found that SLC52A3 rs13042395 C > T variation was significantly associated with poor survival in a 926 Chinese gastric cancer (GCa) patients cohort (CC/CT genotype versus TT genotype, HR = 0.57, 95%CI (0.40‐0.82), log‐rank P = 0.015). The SLC52A3 rs13042395 C > T change led to its increased mRNA expression according to expression quantitative trait loci analysis (P = 0.0029). In vitro, it was revealed that rs13042395 C allele had higher binding affinity to inhibitory transcription factor Meis homeobox 1 (MEIS1) compared with T allele, knock‐down of MEIS1 could up‐regulate SLC52A3, and overexpression of SLC52A3 contributed to the increased ability of proliferation, colony formation, migration and invasion in GCa cells. Subsequently, the bioinformatics analysis combined with experiments in vitro suggested that Gap junction protein alpha 1 (GJA1) was the downstream effector of SLC52A3, SLC52A3 may promote the GCa cells aggressiveness by down‐regulating the GJA1 expression. Overall, SLC52A3 genetic variant rs13042395 C > T change was associated with poorer survival in Chinese GCa patients and increased SLC52A3 expression by interaction with MEIS1. SLC52A3 promoted the GCa cells aggressiveness by down‐regulating the GJA1 expression.

In this study, we investigated the association between TP53 somatic mutations and immunotherapeutic outcomes in non-small cell lung cancer (NSCLC) patients. Kaplan-Meier survival curve analysis of the MSK-IMPACT cohort of 350 NSCLC patients shows that overall survival (OS) is significantly lower for patients with truncating TP53 mutations than those with wild-type TP53 (OS: 9 months vs. 14 months; P=0.019). Multivariate analysis shows that truncating TP53 mutations are an independent predictor of immunotherapeutic outcomes. Moreover, among NSCLC patients with lower tumor mutation burden (TMB), those with TP53 truncating mutations showed significantly lower OS than those with wild-type TP53 [hazard ratio (HR) = 1.40, confidence interval (CI) = 1.13-1.73; P = 0.002]. TP53 mutations correlate with higher infiltration of CD8+ T cells, neutrophils and dendritic cells in lung adenocarcinoma tissues. A prognostic model with TP53 mutational status shows better survival prediction than the model without TP53 mutational status 1-year [area under curve (AUC): 64.9% vs. 60.2%; P = 0.052] and 2-years (AUC: 70.9% vs. 66.1%; P = 0.098) post-immunotherapy. These findings demonstrate that truncating TP53 mutations correlate with poor immunotherapy outcomes in NSCLC patients with low TMB. TP53 mutation status also improves the prognostic prediction in NSCLC patients that underwent immunotherapy.

Purpose Gene mutations play important roles in tumour metastasis, which significantly affect the prognosis of gastric cancer (GC) patients. This study aimed to compare lymph node (LN) metastasis of GCs with different microsatellite instability (MSI) statuses and explore the effect of ACVR2A mutations on GC LN metastasis. Materials and Methods The association between clinicopathologic characteristics and MSI status or ACVR2A mutational status was analysed based on a GC dataset from The Cancer Genome Atlas (TCGA). The association of ACVR2A mutations with MSI status was assessed. Whole-exome sequencing data of 157 GCs from Chinese patients at Fudan University Shanghai Cancer Center were used to validate the association of mutated ACVR2A and MSI status. Survival plots were obtained from the KMPlot and cBioPortal databases. The roles of ACVR2A and its common mutants in GC cell migration and proliferation were assayed in vitro. Results LN metastasis was significantly decreased in MSI-H GCs compared with microsatellite instability-low or microsatellite stable (MSI-L/MSS) GCs (P=0.016). As the most frequently mutated gene in MSI-H GCs, mutated ACVR2A was significantly associated with MSI-H (P

The strategy to improve the photocatalytic removal efficiencies towards organic pollutants is still a challenge for the novel Sillen–Aurivillius perovskite type Bi4NbO8Cl. Herein, we report carbon-supported TiO2/Bi4NbO8Cl (C-TiO2/Bi4NbO8Cl) heterostructures with enhanced charge separation efficiency, which were fabricated via molten-salt flux process. The carbon-supported TiO2 particles were derived from MXene Ti3C2 precursors, and attached on plate-like Bi4NbO8Cl, acting as electron-traps to achieve supressed recombination of photo-induced charges. The improved charge separation confers C-TiO2/Bi4NbO8Cl heterostructures superior photocatalytic performance with 53% higher than pristine Bi4NbO8Cl, towards rhodamine B removal with the help of photo-induced holes. Moreover, the C-TiO2/Bi4NbO8Cl heterostructures can be expanded to deal with other water contaminants, such as methyl orange, ciprofloxacin and 2,4-dichlorophenol with 44, 25 and 13% promotion, respectively, and thus the study offers a series of efficient photocatalysts for water purification.

NiTiO3/Bi4NbO8Cl heterostructure photocatalysts were successfully synthesized by a mechanical mixing method. The crystal structure, morphology, optical properties and energy band structures of all samples were determined by X-ray powder diffraction, X-ray photoelectron spectroscopy, scanning electron microscope, transmission electron microscope, ultraviolet–visible diffuse reflection spectra (UV–Vis DRS), and Mott–Schottky tests. The NiTiO3/Bi4NbO8Cl composites were observed to possess an improved activity in the photocatalytic degradation of organic dye rhodamine B (RhB) under irradiation. In particular, Bi4NbO8Cl modified with NiTiO3 (10% in weight) exhibits the best photocatalytic performance. The enhanced photocatalytic performance can be ascribed to the formation of intimate interfacial contact and type-II band alignment between NiTiO3 and Bi4NbO8Cl. From the results of photoluminescence spectra (PL), time-resolved decay spectra (TR-PL), photocurrent and electrochemical impedance spectroscopy, the rapid separation and transportation of photoinduced charge carriers were proved. In addition, the proposed mechanism for the enhanced photocatalytic activities is proposed in this paper.

A new evaluation mechanism was proposed to enhance the representation of data topology in the directed batch growth hierarchical self-organizing mapping. In the proposed mechanism, the growth threshold and the correlation worked in a case-sensitive manner through the statistic calculation of the input data. Since the proposed model enabled a more thorough representation of data topology from both the horizontal and the vertical directions, it naturally held great potential in detecting various traffic attacks. Numerical experiments of network intrusion detection were carried out on the datasets of KDD99, Moore and CICIDS2017, where the good performance validated the superiority of the proposed method.

A strong interfacial contact of heterostructured photocatalysts plays a key role in charges migration, thus promoting photocatalytic performance. Benefiting from the unique two-dimensional (2D) morphology and abundant terminals, 2D/2D “face-to-face” WO3·H2O/g-C3N4 heterostructured self-assemblies were fabricated employing tungsten oxide hydrate (WO3·H2O) nanoplates and graphitic carbon nitride (g-C3N4) sheets as precursors. Compared to pristine WO3·H2O and g-C3N4, the binary WO3·H2O/g-C3N4 heterostructures exhibit excellent photocatalytic performance towards water decontamination, using organic dye rhodamine B/methyl orange as probes. It is found that WO3·H2O/g-C3N4 with 20 wt% mass ratio (WHC-20) possesses the best photocatalytic activities, with about 3.05 times higher than that of pristine g-C3N4. The remarkable increase performance is attributed to the enhanced evolution of superoxide radicals (·O2−) via photoreduction in adsorbed oxygen molecules (O2−), which are promoted by efficient Z-scheme charges separation and rapid electrons transfer at 2D/2D interface. Given the low-cost, facile synthetic procedure and recycling stability, the heterostructured WO3·H2O/g-C3N4 could be served as a promising photocatalyst to deal with water contamination.

This paper describes a focused literature survey of self-organizing maps (SOM) in support of intrusion detection. Specifically, the SOM architecture can be divided into two categories, i.e., static-layered architectures and dynamic-layered architectures. The former one, Hierarchical Self-Organizing Maps (HSOM), can effectively reduce the computational overheads and efficiently represent the hierarchy of data. The latter one, Growing Hierarchical Self-Organizing Maps (GHSOM), is quite effective for online intrusion detection with low computing latency, dynamic self-adaptability, and self-learning. The ultimate goal of SOM architecture is to accurately represent the topological relationship of data to identify any anomalous attack. The overall goal of this survey is to comprehensively compare the primitive components and properties of SOM-based intrusion detection. By comparing with the two SOM-based intrusion detection systems, we can clearly understand the existing challenges of SOM-based intrusion detection systems and indicate the future research directions.

Heterogeneous photocatalytic system are widely applied to degrade organic pollutants or converse into high value-added chemicals. Both environmental and energy aspects should be considered to improve these chemical processes, favoring reaction conditions that involve room temperature and ambient O2 pressure. In the present work, hollow titanium dioxide nanospheres were fabricated via template-free method. The prepared samples were characterized by X-ray diffraction, N2 adsorption–desorption isotherms, transmission electron microscopy, and X-ray photoelectron spectroscopy. The photocatalytic activity was evaluated by photocatalytic oxidation of benzyl alcohol to benzaldehyde with visible light under atmospheric pressure at room temperature. The designed hollow structure (2%Pt–TiO2–5) not only exhibited a very high surface area, but also promoted photonic behavior and multiple light scattering, which as an efficient photocatalyst performed moderate conversion (about 20%) and high selectivity (> 99%) for oxidation of benzyl alcohol to benzaldehyde at room temperature with visible light in solvent of toluene. This work suggests that both hollow structure and Pt nanoparticles have great potential for execution of oxidative transformations under visible light. Keywords: Titanium dioxide, Hollow nanospheres, Photocatalytic oxidation, Benzyl alcohol, Visible light

Recently, solar cells based on inorganic cesium lead triiodide perovskite materials have received considerable attention. However, the quality and thickness of perovskite films are still out from satisfaction due to the limited solubility of the precursor materials. Here, a simple twice-coating process is reported for fabrication of high-quality perovskite films in a complete air condition. Defects such as pinholes, can be effectively eliminated by the second coating with further growth of the grain sizes, thus greatly suppressing charge recombination in these perovskite films. Furthermore, the improved film thickness can ameliorate the absorption of incident light. In consequence, the power conversion efficiency of 11.05% with comprehensively improved device parameters is obtained in traditional inverted planar perovskite solar cells, with a dramatic increase of 42% being compared with the control device (7.83%). In addition, the device's stability is also improved due to such high quality twice-coated perovskite films. The results reveal that such twice-coating technique is a promising choice for high-stablilty and efficient perovskite solar cells.

Utilizing more solar energy and suppressing recombination of photo-induced charges are primary issues for photocatalyst's design. In this work, BiOBr was introduced into CdTe/TiO2 to construct a novel ternary BiOBr/CdTe/TiO2 composite via a facile solvothermal method. The composition, morphologies, optical properties, specific area, and photocatalytic performances were all investigated in detail. The heterojunction among three-dimensional TiO2 particles, BiOBr and CdTe acts an interfacial channel to boost the charges migration. As a result, the ternary BiOBr/CdTe/TiO2 heterojunctions exhibited higher visible light photocatalytic activities on photo-decolorization of methyl orange (MO) than the pure TiO2 and the binary CdTe/TiO2 and BiOBr/TiO2. Furthermore, the ternary BiOBr/CdTe/TiO2 composites were converted into hollow structure, and showed the better photocatalytic performance, reaching 75% degradation towards MO in 120 min. This study provided an attractive thought to design highly efficient photocatalysts, which possessed a promising for wastewater purification.

Hollow and heterostructured architectures are recognized as an effective approach to improve photocatalytic performance. In this work, ternary TiO2/CdTe/BiOI with hollow structure was constructed via a step-by-step method. In addition, the effect of TiO2 structural regulation and the energy band alignment of BiOI and CdTe quantum dots (CdTe QDs) with TiO2 in TiO2/CdTe/BiOI on photocatalytic dye removal were also studied. The results reveal that the TiO2/CdTe/BiOI heterostructures with hollow substrates exhibit much higher photocatalytic activities than pure TiO2, P25, TiO2/CdTe, and TiO2/BiOI and ternary TiO2/CdTe/BiOI with solid substrates. For TiO2(H)/CdTe/BiOI, several synergistic factors may be responsible for the remarkable visible-light photodegradation performance, such as strong visible-light absorption by BiOI and larger specific surface area.

A new three-dimensional exact solution for the free vibrations of arbitrary thick functionally graded annular sector plates with arbitrary boundary conditions is presented. The three-dimensional elasticity theory is employed to formulate the theoretical model. According to a power law distribution of the volume of the constituents, the material properties change continuously through the thickness of the functionally graded annular sector plates. Each of displacements of the annular sector plates, regardless of boundary conditions, is expanded as a three-dimensional (3-D) Fourier cosine series supplemented with closed-form auxiliary functions introduced to eliminate all the relevant discontinuities with the displacements and its derivatives at the edges. Since the displacement fields are constructed adequately smooth throughout the entire solution domain, an exact solution is obtained based on the Ritz procedure by the energy functions of plate. The excellent accuracy and reliability of the current solutions are demonstrated by numerical examples and comparison of the present results with those available in the literature, and numerous new results for thick FG annular sector plates with elastic boundary conditions are presented. The effects of gradient indexes are also illustrated.

As an artificial neural network method, self-organizing mapping facilities efficient complete and visualize high-dimensional data topology representation, valid in a number of applications such as network intrusion detection. However, there remains a challenge to accurately depict the topology of network traffic data with unbalanced distribution, which deteriorates the performance of e.g. DoS attack detection. Hence, we propose a new model of the “statistic-enhanced directed batch growth self-organizing mapping”, renew the definition of the growth threshold used to evaluate/control neuron expansion, and first introduce the inner distribution factor for fine-grained data distinguishing. The numerical experiments based on two datasets, KDD99, and CICIDS2017, demonstrate that the key performance in DoS attack detection including the detection rate, the false positive rate, and the training time are greatly enhanced thanks to the statistic concepts consulted in the proposed model.