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Arising from the extreme/saddle point in electronic bands, Van Hove singularity (VHS) manifests divergent density of states (DOS) and induces various new states of matter such as unconventional superconductivity. VHS is believed to exist in one and two dimensions, but rarely found in three dimension (3D). Here, we report the discovery of 3D VHS in a topological magnet EuCd2As2 by magneto-infrared spectroscopy. External magnetic fields effectively control the exchange interaction in EuCd2As2, and shift 3D Weyl bands continuously, leading to the modification of Fermi velocity and energy dispersion. Above the critical field, the 3D VHS forms and is evidenced by the abrupt emergence of inter-band transitions, which can be quantitatively described by the minimal model of Weyl semimetals. Three additional optical transitions are further predicted theoretically and verified in magneto-near-infrared spectra. Our results pave the way to exploring VHS in 3D systems and uncovering the coordination between electronic correlation and the topological phase.Van Hove singularities (VHS) are believed to exist in one and two dimensions, but rarely found in three dimensions (3D). Here the authors report the discovery of 3D VHS in a topological magnet EuCd2As2 by magneto-infrared spectroscopy. [ABSTRACT FROM AUTHOR]

The ability to control gene expression and generate quantitative phenotypic changes is essential for breeding new and desired traits into crops. Here we report an efficient, facile method for downregulating gene expression to predictable, desired levels by engineering upstream open reading frames (uORFs). We used base editing or prime editing to generate de novo uORFs or to extend existing uORFs by mutating their stop codons. By combining these approaches, we generated a suite of uORFs that incrementally downregulate the translation of primary open reading frames (pORFs) to 2.5–84.9% of the wild-type level. By editing the 5′ untranslated region of OsDLT, which encodes a member of the GRAS family and is involved in the brassinosteroid transduction pathway, we obtained, as predicted, a series of rice plants with varied plant heights and tiller numbers. These methods offer an efficient way to obtain genome-edited plants with graded expression of traits. Plant traits are fine-tuned by stepwise downregulation of gene expression. [ABSTRACT FROM AUTHOR]

The interaction of the two coupling bubble with a floating structure is modelled to investigate the dynamic behavior of the warship under an underwater explosion (UNDEX) by coupled Eulerian-Lagrangian (CEL) method. In this study, the CEL method is first verified by the experimental results for free field underwater explosion. Then, a series of cases for various initial distance and delay intervals between the bubble pair are implemented to analyze the deformation and damage modes of the floating structure. It is observed that for large initial distance between the bubble pair synchronously generated, the floating structure can be damaged with longitudinal bending buckling in the middle domain. When the initial distance between the bubble pair decreases to a critical value, the floating structrure is damaged with a remarkable crevasse besides the longitudinal bending buckling in the middle domain. However, under two bubbles with different phase differences, the floating structure a the deformation of the whipping motion without remarkable local structural damage. This is because there is the conspicuous despression effect between two out-of-phase bubbles, which weakens the bubble pulsation load. These phenomena present a theoretical reference for further studies on the destruction of underwater explosion on the ship structure caused by multiple bubbles generated with various phase differences. [ABSTRACT FROM AUTHOR]

Sn58Bi alloy is a typical low-melting point solder. However, the brittle Bi phase would lead to relatively low ductility and toughness, limiting its application in advanced 2.5D/3D electronic packaging. We presented a strategy to enhance the ductility of Sn58Bi alloy by electric pulse incubating (EPI) the liquid melt. Unique microstructures including pre-eutectic Sn, Bi-rich phase and fine Sn-Bi eutectic structure were obtained due to different size atomic clusters in melt incubated by electric pulse. It was found that the ductility of as-treated samples was improved significantly as the applied pulse voltage was increased. The enhancement should be attributed to cooperation deformation of a great number of pre-eutectic Sn and Bi-rich phases. This research could help to provide a new path for ductility and reliability improvement of Sn-Bi solder joints in advanced electronic interconnection. [ABSTRACT FROM AUTHOR]

Extensive use of Al2O3 nanoparticles in consumer and industrial products has led to concerns about their potential environmental impacts in the recent years. In most studies concerning Al2O3 aggregation and disaggregation, more was to consider the single factor that influences their environmental behaviors. Understanding the combined abiotic factors that influence the fate, transport, and stability of nanoparticles in a complex aquatic system has become extremely important. Here, we reported and analyzed the major abiotic factors such as typical solution pH, electrolyte cations in different valences (Na+ and Ca2+), and the presence of humic acid (HA) that influence the stability, aggregation, and disaggregation behaviors of Al2O3 nanoparticles in a complex aquatic system. Dynamic light scattering technique combined with fluorescence spectroscopic analysis was used to explore the aggregation mechanisms. Experimental results indicated that Al2O3 nanoparticle stability was mainly controlled by the steric hindrance, van der Walls, and electrostatic interactions between HA and Al2O3 nanoparticles. Aggregation kinetics and attachment efficiency studies induced by the addition of Na+ and Ca2+ cations confirmed that divalent electrolytes could reduce the large energy barrier between the charged colloidal particles more efficiently, and induce a more aggressive aggregation of the particles. Additionally, the bridging effect of HA with Ca2+ was also an important mechanism for the aggregation enhancement, which had been confirmed by the fluorescence excitation-emission matrix (EEM) spectra analysis. These findings are useful in understanding the environmental challenges of inorganic colloidal particles in natural environments. [ABSTRACT FROM AUTHOR]

Deep learning methods have demonstrated promising performance in fault diagnosis tasks. Although the scarcity of data in industrial scenarios limits the practical application of such methods, transfer learning effectively tackles this issue through cross-machine knowledge transfer. Nevertheless, the cross-machine few-shot problem, which is a more general industrial scenario, has been rarely investigated. Existing studies have not considered the cross-machine domain shift problem, which results in poor testing performance. This paper proposes an augmentation-based discriminative meta-learning method to address this issue. In the meta-training process, signal transformation is proposed to increase the meta-task diversity for more robust feature learning, and multi-scale learning is combined for more adaptive feature embedding. In the meta-testing process, limited labeled fault information is used to promote model generalization in the target domain through quasi-meta-training based on data augmentation. Furthermore, a novel hyperbolic prototypical loss is proposed for more discriminative feature representation and separable category prototypes by designing a hyperbolic decision boundary. Cross-machine few-shot diagnosis experiments were conducted using three datasets from different machines, namely, the bearing, motor, and gear datasets. The effectiveness of the proposed method was verified through ablation and comparison studies. [ABSTRACT FROM AUTHOR]

Pest detection and control can effectively guarantee the quality and yield of crops. The existing CNN-based object detection methods provide feasible strategies for pest detection; however, their low accuracy and speed have restricted the deployment and application in actual agricultural scenarios. In this paper, an improved YOLOv5 model for real-time and effective agricultural pest detection is proposed. First, a lightweight feature extraction network GhostNet is adopted as the backbone, and an efficient channel attention mechanism is introduced to enhance feature extraction. Then, high-resolution feature maps are added to the bidirectional feature pyramid network to enhance the data flow path of the neck, which enriches semantic information and highlights small pests. Furthermore, to assign dynamic weights to features at different receptive fields and highlight the unequal contributions of different receptive fields to global information, feature fusion with attentional multi-receptive fields is proposed. Finally, the experimental results on a large-scale public pest dataset (Pest24) demonstrate that our method exceeds the original YOLOv5 and other state-of-the-art models. The mAP improves from 71.5 to 74.1%, the detection speed improves from 79.4 FPS to 104.2 FPS, the FLOPs decrease by 42% and the model size is compressed by 39%. The proposed method enables real-time and effective pest detection. [ABSTRACT FROM AUTHOR]

The aim is to explore the development trend of COVID-19 (Corona Virus Disease 2019) and predict the infectivity of 2019-nCoV (2019 Novel Coronavirus), as well as its impact on public health. First, the existing data are analyzed through data pre-processing to extract useful feature factors. Then, the LSTM (Long-Short Term Memory) prediction model in the deep learning algorithm is used to predict the epidemic situation in Hubei Province, outside Hubei nationwide, and the whole country, respectively. Meanwhile, the impact of intervention time changes on the epidemic situation is compared. The results show that the prediction results are almost consistent with the actual values. Specifically, Hubei Province abolishes quarantine restrictions after the Spring Festival holiday, and the first COVID-19 peak is reached in late February, while the second COVID-19 peak has been reached in early March. Finally, the cumulative number of diagnoses reaches 85,000 cases, with an increase of 15,000 cases compared with the nationwide cases outside Hubei under the continuous implementation of prevention and control measures. Under the prediction of the proposed LSTM model, if the nationwide implementation of prevention and control interventions is postponed by 5 days, the epidemic will peak in early March, and the cumulative number of diagnoses will be about 200,000; and if the intervention measures are implemented five days earlier, the epidemic will peak in mid-February, with a cumulative number of diagnoses of approximately 40,000. Meanwhile, the proposed LSTM model predicts the RMSE values of the epidemic situation in Hubei Province, outside Hubei nationwide, and the whole country as 34.63, 75.42, and 50.27, respectively. Under model comparison analysis, the prediction error of the proposed LSTM model is small and has better applicability over similar algorithms. The results show that the LSTM model is effective and has high performance in infectious disease prediction, and the research results can provide scientific and effective references for subsequent related research. [ABSTRACT FROM AUTHOR]

A reliable material removal rate (MRR) prediction method significantly optimizes the grinding surface quality and improves the processing efficiency for robotic abrasive belt grinding. Using worn-belt image features to predict MRR is a direct and reliable method; however, this method is rarely reported at present. This paper proposes an MRR prediction method for Inconel 718 grinding based on the abrasive belt image analysis and categorical boosting (CatBoost) algorithm. During belt grinding, four wear types of abrasive belts, namely fracture, adhesion, rubbing wear, and fall-off, are identified and analyzed. Under various grinding parameters, the experimental MRR rapidly decreases at first, then in a gradual manner. For an effective evaluation of belt wear severity, cutting grain area ratio, color moments, and texture features are extracted from belt images. MRR and abrasive belt image features are strongly correlated after normalization. All image features are taken into account for MRR prediction model training. Verification experiments indicate that the predicted data is in good agreement with the experimental data. The maximum absolute error, mean absolute error, root mean square error, and determination coefficient of the MRR prediction model are 0.17 μm, 0.4 μm, 0.2 μm, and 99.42%, respectively, which are superior to those of other popular machine learning algorithms. In this study, we present a comprehensive understanding of the relationship between MRR and abrasive belt characteristics, as well as demonstrate the feasibility of accurately predicting MRR using the CatBoost algorithm. [ABSTRACT FROM AUTHOR]

Active Peltier cooling enables Peltier heat transfer in addition to the traditional Fourier thermal conductance, which is useful in some special applications, such as the microthermostats. From the material wise, however, the study on the active Peltier cooling materials is rare. We carried out a high-throughput workflow to screen out 5 room-temperature active Peltier cooling materials, GaSbLi2, HgPbCa2, SnTiRu2, GeYbLi2, and GeTiFe2, from 2958 Heusler materials. All the five materials are semimetals or very narrow band gap systems with high electrical conductivity. Some of these materials have relatively large Seebeck coefficients due to the band asymmetry. Their effective thermal conductivity κeffs, which are the summation of active Peltier thermal conductivity and passive thermal conductivity, are all greater than Cu at the room temperature and ΔT = 1 K. The present work gives a possible way to search active cooling Peltier materials for the applications of precise temperature control. [ABSTRACT FROM AUTHOR]

Hierarchical hollow-structured magnetic—dielectric materials are considered to be promising and competitive functional absorbers for microwave absorption (MA). Herein, a hierarchical hollow hydrangea multicomponent metal oxides/metal-carbon was designed and successfully produced via a facile self-assembly method and calcination process. Adequate magnetic NiO and Ni nanoparticles were suspended within the hollow hydrangea-like nitrogen-doped carbon matrix (HH N-NiO/Ni/C), constructing a unique hierarchical hollow structured multicomponent magnetic—dielectric MA composite. The annealing temperature and oxidation time were carefully regulated to investigate the complex permittivity and permeability. HH N-NiO/Ni/C delivers exceptional MA properties with maximum reflection loss of −45.8 dB at 1.7 mm thickness and displays a wide effective absorption frequency range of 5.6 GHz. The superior MA performance can be attributed to the following aspects: (1) The hierarchical hollow multicomponent structure offers plentiful of heterojunction interfaces triggering interfacial polarization; (2) nitrogen doped-carbon (N-C) facilitates the conductive loss by the unique electron migration path in the graphitized C and NiO/Ni; (3) magnetic NiO/Ni nanoparticles homogeneously dispersed within N-C form extensive C skeleton and strengthen the magnetic response ability; (4) hierarchical hollow wrinkled structures possess a large interspace and heterogeneous interface improving polarization loss and enhancing multireflection process and the unique structure satisfies magnetic and dielectric loss simultaneously resulting from synergistic effects of different components within the composites. [ABSTRACT FROM AUTHOR]

The effect of rare earth Ce on the hot tearing sensitivity of the Al-Cu-Mg-Y alloy is studied by using a self-made multi-channel "cross" hot tearing test device. Based on hot tearing sensitivity, solidification temperature, shrinkage force and microstructure of the as-cast Al-4.4Cu-1.5Mg-0.15Zr-0.15Y alloy with different contents of Ce, the influence regularity and mechanism of rare earth Ce on the hot tearing are systematically studied. The results show that the hot tearing resistance of the alloy is evidently improved due to grain refinement and the increase of feeding capacity of liquid phase in the later stage of solidification with addition of Ce. The average grain size, the HTS1 value and the CSC value of the alloy firstly decrease and then increase with the content of Ce increases from 0 to 2.5 wt.%. Compared with the alloy without Ce, the average grain size of the alloy with addition of 1.0 wt.% Ce reduces from 150.04 to 90.23 μm. The fluidity and hot tearing resistance of the alloy are significantly enhanced owing to the generated Al8Cu4Ce phase. Furthermore, when the Ce content exceeds 1.0 wt.%, which leads to the microstructure coarsening and the rise of the hot tearing sensitivity of the alloy compared with addition of 1.0 wt.%. [ABSTRACT FROM AUTHOR]

Esophageal squamous cell carcinoma (ESCC) is the most common type of esophageal cancer in China and developing countries. The purpose of this review is to summarize the roles of inactivation of the tumor suppressor gene, phosphatase and tensin homolog (PTEN), and activation of the programmed cell death protein 1 (PD-1) upon binding to its ligand (PD-L1) in the promotion of ESCC. Studies of ESCC performed in vitro and in vivo indicated that PTEN and PD-L1 function in the regulation of cell proliferation, invasion, and migration; the epithelial-mesenchymal transition; resistance to chemotherapy and radiotherapy; and the PI3K/AKT signaling pathway. Certain genetic variants of PTEN are related to susceptibility to ESCC, and PTEN and PD-L1 also function in ESCC progression and affect the prognosis of patients with ESCC. There is also evidence that the expression of PD-L1 and PTEN are associated with the progression of certain other cancers. Future studies should further examine the relationship of PD-L1 and PTEN and their possible interactions in ESCC. [ABSTRACT FROM AUTHOR]

Limited stem cells, poor stretchability and mismatched interface fusion have plagued the reconstruction of cranial defects by cell-free scaffolds. Here, we designed an instantly fixable and self-adaptive scaffold by dopamine-modified hyaluronic acid chelating Ca2+ of the microhydroxyapatite surface and bonding type I collagen to highly simulate the natural bony matrix. It presents a good mechanical match and interface integration by appropriate calcium chelation, and responds to external stress by flexible deformation. Meanwhile, the appropriate matrix microenvironment regulates macrophage M2 polarization and recruits endogenous stem cells. This scaffold promotes the proliferation and osteogenic differentiation of BMSCs in vitro, as well as significant ectopic mineralization and angiogenesis. Transcriptome analysis confirmed the upregulation of relevant genes and signalling pathways was associated with M2 macrophage activation, endogenous stem cell recruitment, angiogenesis and osteogenesis. Together, the scaffold realized 97 and 72% bone cover areas after 12 weeks in cranial defect models of rabbit (Φ = 9 mm) and beagle dog (Φ = 15 mm), respectively. Limited stem cells and mismatched interface fusion have plagued biomaterial-mediated cranial reconstruction. Here, the authors engineer an instantly fixable and self-adaptive scaffold to promote calcium chelation and interface integration, regulate macrophage M2 polarization, and recruit endogenous stem cells. [ABSTRACT FROM AUTHOR]

In the context of big data, the exploration of the application effect of machine learning in intelligent encryption for real-time image text digital information aims to improve the privacy information security of people. Aiming at the problem of digital information leakage of real-time image text, the convolutional neural network is introduced and improved by adding a preprocessing module to form AlexNet, to encrypt the digital information of real-time image text. Besides, to take into account both the security effect and the real-time performance of the system, the image text is encrypted by the chaotic sequence generated by a one-dimensional chaotic system called Logistic-Sine and a multi-dimensional chaotic system named Lorenz. In this way, a real-time image text encryption model is constructed by combining the chaotic function and AlexNet. Finally, a simulation experiment is performed to analyze the performance of this model. The comparative analysis indicates that the recognition accuracy of feature extraction of image text by the intelligent encryption model reaches 94.37%, which is at least 3.05% higher than that of other neural network models by scholars in related fields. In the security analysis of image text encryption, the information entropy of pixel values at (0, 0) of the proposed model is close to the ideal value 8. Meanwhile, the value of the number of pixels change rate is generally more than 99.50%, and the value of the unified average changing intensity is generally more than 33.50%. This demonstrates that the model has good security in resisting attacks. Therefore, the constructed model can provide good security guarantee under the premise of ensuring the recognition accuracy, which can provide experimental basis for improving the security performance of real-time image text data in the future. [ABSTRACT FROM AUTHOR]

Resolving single-crystal structures of two-dimensional covalent organic frameworks (2D COFs) is a great challenge, hindered in part by limited strategies for growing high-quality crystals. A better understanding of the growth mechanism facilitates development of methods to grow high-quality 2D COF single crystals. Here, we take a different perspective to explore the 2D COF growth process by tracing growth intermediates. We discover two different growth mechanisms, nucleation and self-healing, in which self-assembly and pre-arrangement of monomers and oligomers are important factors for obtaining highly crystalline 2D COFs. These findings enable us to grow micron-sized 2D single crystalline COF Py-1P. The crystal structure of Py-1P is successfully characterized by three-dimensional electron diffraction (3DED), which confirms that Py-1P does, in part, adopt the widely predicted AA stacking structure. In addition, we find the majority of Py-1P crystals (>90%) have a previously unknown structure, containing 6 stacking layers within one unit cell. Resolving single-crystal structures of two-dimensional covalent organic frameworks (2D COFs) is a great challenge. Here, the authors identify two different growth mechanisms of COFs, enabling the growth and structure determination of micron-sized 2D single-crystalline COFs. [ABSTRACT FROM AUTHOR]

Bak is important for TNFα/CHX-induced neuronal death, but the precise molecular mechanism remains unclear. At the same time, TNFα/CHX concomitantly activates the phosphorylation of the MAPK and PI3K/AKT kinases. This study for the first time clarified the association between the MAPK and AKT under the TNFα/CHX stimulation upon addition of different kinase inhibitors to show whether Bak is associated with the kinase activation. The bioinformatics software HDOCK predicted the interaction between Bak and AKT. The addition of TNFα/CHX was proposed to destroy the complex, such that the dissociated Bak would exert a proapoptosis effect AKT can influence the inhibition of cell apoptosis. There was no cell death upon inducing TNFα/CHX for 3 h. AKT was less obvious with apoptosis but in the Bak knockout cells, the anti-apoptotic effect of AKT was very obvious. This study, therefore, provides the theoretical basis for the molecular mechanism of apoptosis induced by TNFα/CHX, providing a new target and direction for studying drug resistance. [ABSTRACT FROM AUTHOR]

Since the proposal of the "Materials Genome Initiative", several material databases have emerged and advanced many materials fields. In this work, we present the Materials Informatics Platform with Three-Dimensional Structures (MIP-3d). More than 80,000 structural entries, mainly from the inorganic crystal structural database, are included in MIP-3d. Density functional theory calculations are carried out for over 30,000 entries in the database, which contain the relaxed crystal structures, density of states, and band structures. The calculation of the equations of state and sound velocities is performed for over 12,000 entries. Notably, for entries with band gap values larger than 0.3 eV, the band degeneracies for the valence band maxima and the conduction band minima are analysed. The electrical transport properties for approximately 4,400 entries are also calculated and presented in MIP-3d under the constant electron-phonon coupling approximation. The calculations of the band degeneracies and electrical transport properties make MIP-3d a database specifically designed for thermoelectric applications. Measurement(s) structural entity • relaxed crystal structure • density of states • band structure • electrical transport property • equation of states Technology Type(s) density functional theory • computational modeling technique Factor Type(s) material Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15164577 [ABSTRACT FROM AUTHOR]

Electrocatalytic production of hydrogen from water is a promising and sustainable strategy. Herein, hierarchical tubular MoP/MoS2 composites with the wall composed of loosely stacked nanosheets were fabricated through partially phosphating the tubular MoS2. As an electrocatalyst for hydrogen evolution reaction (HER), the hierarchical tubular MoP/MoS2 composite displayed a superior HER activity with a low overpotential (101 mV) to obtain a current density of 10 mA/cm2, small Tafel slope (56 mV/dec). Moreover, the MoP/MoS2 composite demonstrate superior long-term durability in acid electrolytes. The excellent catalytic activity of MoP/MoS2 composite may be ascribed to its hierarchical structure: hierarchical porous structure can offer mass diffusion pathways, and the nanosheets with MoP/MoS2 heterojunctions can provide rich active sites for HER. Density functional theory calculations reveal that more favorable H* adsorption kinetics on the surface of the MoP/MoS2 composite during the HER process than pristine MoP and MoS2. This work can offer a strategy to design high performance electrocatalysts for HER applications. [ABSTRACT FROM AUTHOR]

Zinc pollution impairs neural processes and protein function and also effects calcium-related transcriptional regulation and enzyme activity. In this study, we investigated pathways that potentially respond to calcium signaling under Zn2+ stress. Specifically we measured relative expressions of GeCNAα, GeCNB, GeMT, GeTNF-α, GeIL-1β, and GeHsp90 in gills, livers, and kidneys of the indicator species Gymnocypris eckloni and found wide variation in their expression between tissues during the course of Zn2+ exposure. Notably, GeCNAα, GeCNB, GeTNF-α, GeIL-1β, and GeMT were rapidly and strongly up-regulated in gills; GeIL-1β and GeHsp90 transcription was quickly induced in kidneys; and GeCNB, GeTNF-α, GeIL-1β, and GeHsp90 were most rapidly up-regulated in livers. GeCNAα and GeMT showed a contrasting late transcriptional up-regulation. These results suggest independent branches for chelation and immune responses during self-protection against Zn2+ toxicity, and the immune response appears to be faster than metal chelation. [ABSTRACT FROM AUTHOR]

Zika virus (ZIKV), a flavivirus transmitted primarily by infected mosquitos, can cause neurological symptoms such as Guillian–Barré syndrome and microcephaly. We developed several vaccinia virus (VACV) vaccine candidates for ZIKV based on replication-inducible VACVs (vINDs) expressing ZIKV pre-membrane (prM) and envelope (E) proteins (vIND-ZIKVs). These vIND-ZIKVs contain elements of the tetracycline operon and replicate only in the presence of tetracyclines. The pool of vaccine candidates was narrowed to one vIND-ZIKV containing a novel mutation in the signal peptide of prM that led to higher expression and secretion of E and production of virus-like particles, which was then tested for safety, immunogenicity, and efficacy in mice. vIND-ZIKV grows to high titers in vitro in the presence of doxycycline (DOX) but is replication-defective in vivo in the absence of DOX, causing no weight loss in mice. C57BL/6 mice vaccinated once with vIND-ZIKV in the absence of DOX (as a replication-defective virus) developed robust levels of E-peptide-specific IFN-γ-secreting splenocytes and anti-E IgG titers, with modest levels of serum-neutralizing antibodies. Vaccinated mice treated with anti-IFNAR1 antibody were completely protected from ZIKV viremia post-challenge after a single dose of vIND-ZIKV. Furthermore, mice with prior immunity to VACV developed moderate anti-E IgG titers that increased after booster vaccination, and were protected from viremia only after two vaccinations with vIND-ZIKV. [ABSTRACT FROM AUTHOR]

Sewage sludge is the major by-product of wastewater treatment plants, and about 30% readily biodegradable organic matters might be reused through the mass reduction process, which could be also reduced the disposal fee. In this study, the microbubble ozonation (MB-O3) was employed to improve the oxidation efficiency for sludge solubilization. At 160 mgO3/gSS, the maximum mixed liquor suspended solids (MLSS) reduction ratio was 37.5% and the protein and polysaccharide contents increased to 31.6 and 138.6 mg/L, respectively. It was proposed that aromatic protein and soluble microbial in sludge were oxidized preferentially by MB-O3, and the dissolved organic matter (DOM) fractions (mainly humic-acid-like substances) exhibited low degradability according to the variations of fluorescence excitation-emission spectrum coupled with fluorescence regional integration. MB-O3 could enhance the settleability, but deteriorate sludge dewaterability at low dosage (< 160 mgO3/gSS) due to a reduction in particle size from 61.7 to 47.5 μm. MB-O3 has a good performance on the mass reduction of sludge through the improvement of the radical generated. [ABSTRACT FROM AUTHOR]

Radiation therapy can potentially induce immunogenic cell death, thereby priming anti-tumor adaptive immune responses. However, radiation-induced systemic immune responses are very rare and insufficient to meet clinical needs. Here, we demonstrate a synergetic strategy for boosting radiation-induced immunogenic cell death by constructing gadolinium-hemin based nanoscale coordination polymers to simultaneously perform X-ray deposition and glutathione depletion. Subsequently, immunogenic cell death is induced by sensitized radiation to potentiate checkpoint blockade immunotherapies against primary and metastatic tumors. In conclusion, nanoscale coordination polymers-sensitized radiation therapy exhibits biocompatibility and therapeutic efficacy in preclinical cancer models, and has the potential for further application in cancer radio-immunotherapy. Radiotherapy has the potential to induce immunogenic cell death (ICD), however radiation-induced immune responses are often limited. Here the authors design gadolinium-based nanoscale coordination polymers to amplify radiation-mediated oxidative stress, promoting ICD and anti-tumor immune responses. [ABSTRACT FROM AUTHOR]

This article reports microstructural characterization of as-cast and as-extruded Zn-Fe alloys and their mechanical and corrosion properties. Specifically, 1 wt.%, 2 wt.% and 3 wt.% Fe was added into the Zn matrix to form respective Zn-Fe alloys using casting and indirect hot extrusion processes. As the Fe content increased within the range of 1–3 wt.%, the mechanical properties of as-cast and as-extruded Zn-Fe alloys improved. The as-extruded Zn-Fe alloys showed superior mechanical properties of hardness, ultimate tensile strength (UTS) and elongation to failure (EL) to the as-cast Zn-Fe alloys of the same composition. Specifically, the UTS for as-extruded Zn-Fe alloys was 138–170 MPa, whereas the UTS for as-cast Zn-Fe alloys was 89–125 MPa. The corrosion properties of the as-extruded Zn-Fe alloys were investigated using the electrochemical and immersion methods. The corrosion rate of the as-extruded Zn-Fe alloys ranged from 0.015 mm/year to 0.210 mm/year. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this study was to identify a co-existing hydatidiform mole (HM) in twin pregnancy from the abnormal mixed-genomic products of conception (POC) after assisted reproduction by histopathological review, evaluation of p57kip2 immunostaining and short tandem repeat genotyping. Methods: Thirty-seven patients were collected with suspicion for HM by pathological morphology. They had two embryos individually transferred to their uterus after in vitro fertilization and presented two gestational sacs with undeveloped embryos or one sac with an abnormal area by ultrasonography. Results: Thirty patients were diagnosed as singleton pregnancy, including twenty-two non-molar gestations, six trisomy gestations, one homozygous complete mole and one heterozygous partial mole. Although six patients had ultrasonic imaging of two gestational sacs, the embryonic components in the vacant sac might fade away after transferring. Other seven patients were considered as twin pregnancy by the allelic genotype from two individual conceptions. For the patients with uniform p57kip2 positivity, excessive paternal alleles indicated the potential partial HM in the twin pregnancy. For the patients demonstrated divergent and/or discordant p57kip2 immunostaining, twin pregnancy with co-existing complete HM or mosaic conception were confirmed by genotyping of different villi population respectively. These patients were monitored by serum β-HCG, while one twin pregnancy with complete mole suffered invasive mole and received chemotherapy. Conclusions: A strategy composed of selective clinicopathological screening, immunohistochemical interpretation and accurate genotyping is recommended for diagnostically challenging mixed-genomic POC of potential twin pregnancy with HM, especially to differentiate a non-molar mosaic conception from a partial mole. [ABSTRACT FROM AUTHOR]

Fabricating flexible, stable and highly reproducible surface-enhanced Raman scattering (SERS) active substrates is very important in furthering the development of practical SERS sensors. Nevertheless, the fabrication of such SERS substrates is rather challenging in processing conditions for both noble metal and semiconductor substrates. In this study, highly sensitive SERS detection is achieved by fabricating novel textile-based SERS substrates with a structure of graphite/titanium/cotton which are prepared by sputtering cotton fabric with titanium and graphite for different lengths of time at room temperature. The resultant samples show excellent SERS with an enhancement factor of 1.6 × 104, limit of detection of 4 × 10−7 as well as outstanding flexibility. The optimal SERS active substrate in this study also shows promising application for conformal rapid detection in the field of food safety testing. [ABSTRACT FROM AUTHOR]

Ethylene glycol (EG)-based hybrid nanofluids containing graphene oxide–silver nanosheets (GO–Ag) were simply prepared without using any surfactant. The graphene oxide–silver composites were characterized using X-ray diffraction analysis, transmission electron microscope, infrared and UV–visible spectroscopy. The stability of GO–Ag nanofluids was estimated by UV–visible spectroscopy. The GO–Ag/EG hybrid nanofluids has good stability without significant sedimentation for 60 days. A few thermophysical properties of GO–Ag/EG nanofluids with 0.1, 0.2 and 0.3 wt% nanosheets were analysed experimentally at different temperatures ranging from 20 to 50°C. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the potential of apparent diffusion coefficient (ADC) histogram parameters in epithelial ovarian cancer (EOC) for distinguishing different tumor stages and determining lymph node status and correlations between ADC values and p53 and Ki-67 expression.Procedures: Forty-nine EOC patients underwent preoperative magnetic resonance imaging. Staging and lymph node status were determined postoperatively. ADC values were measured using histogram analysis and compared between groups. Relationships between ADCs and Ki-67 and p53 expression were explored.Results: DC parameters differed significantly between stage I vs II, I vs III, and I vs IV. The parameters were significantly lower in the lymph node-positive group than in the lymph node-negative group, were significantly negatively correlated with Ki-67 labeling index, and were all significantly lower in the mutation-type p53 group than in the wild-type p53 group.Conclusions: ADC histogram analysis can help discriminate stage I from advanced-stage EOC and predict lymph node metastasis. ADC parameters were correlated with Ki-67 labeling index; the parameters may help indicate p53 expression. [ABSTRACT FROM AUTHOR]

Handwritten numeral recognition is a technology for automatic recognition and classification of handwritten numeral input through machine learning model. This is widely used in postal code digital automatic system to sort letters. The classical k-nearest neighbor algorithm is used in the traditional digital recognition training model. The recognized digital image classification is obtained through similarity measure or calculation and K value selection. Nonetheless, as the applied data volume exceeds a certain threshold, the time complexity of the model increases exponentially upon the similarity measure and K value search. This condition makes it hard to apply the model universally. In this paper, we introduce quantum computing, that is where digital image information is stored in the quantum state, and its similarity is calculated in parallel. Also, the most similar K points are obtained through the Grover algorithm. The theoretical analysis of the proposed improved algorithm shows that, handwritten numeral recognition based on quantum k-neighbor algorithm can improved upon time complexity of O R kM of the existing algorithm. [ABSTRACT FROM AUTHOR]

After renal ischemic reperfusion injury, a series of pathological changes, such as impaired intestinal barrier function, intestinal flora, and endotoxin translocation, are caused by intestinal ischemia and hypoxia, which then trigger systemic inflammatory responses and affect the condition and prognosis of the patients. In this study, a rat model of ischemia-reperfusion injury was established by examining changes in renal function, intestinal barrier function, inflammatory index, oxidative stress, and macrophage phenotypes to evaluate the effect of probiotic VSL#3 on renal ischemia-reperfusion injury. The results showed that, after VSL#3 intervention, the levels of BUN, Scr, Cys C, PRO, and NGAL were all significantly decreased compared with the I/R group, while the value of Ccr showed a significant increase. In addition, the concentrations of MPO, IL-1β, TNF-α, IL-6, ED-1, and PCNA were all significantly lower than those in the I/R group, while the levels of endotoxin, DOA, and d-lactic acid were significantly decreased. Furthermore, the proteins associated with intestinal barrier functions, such as ZO-1, Occludin, and Claudin-1, were significantly upregulated compared with the I/R group. Overall, the VSL#3 intervention group was able to maintain the required number of beneficial intestinal flora and to inhibit the proliferation of harmful bacteria. At the same time, the VSL#3 intervention could also prevent the decrease in the levels of CAT, GSH-PX, H2O2, and T-SOD, while downregulating the expression of Keap1 and Nrf2. After the intervention with the VSL#3, the expression levels of CD68 and CD86 proteins were significantly decreased, while the expression levels of CD163 and CD206 proteins were significantly higher. Further experiments confirmed that the expression of iNOS protein was significantly decreased after the VSL#3 intervention, and the expression of Arg-1 and Ym1 proteins was significantly increased. The VSL#3 was able to induce high expressions of p-GSK-3β and p-PTEN proteins, while the use of IL-10 antibody impaired the effect of the VSL#3. In summary, this research confirms that probiotics can alleviate renal dysfunction caused by ischemia and reperfusion by protecting the intestinal barrier function and maintaining the functions of intestinal flora. The pathway screening test of this study suggests that IL-10/GSK3β/PTEN may play an important role in the process of the prototypic VSL#3 inducing M2 transformation of macrophages. [ABSTRACT FROM AUTHOR]

Cap-like α-Fe2O3 films are fabricated and deposited onto quartz fabric by using radio frequency magnetron sputtering and annealing. The treated fabric sample in this study shows highly sensitive surface-enhanced Raman scattering (SERS) and excellent flexibility, reproducibility and stability. In addition, the sample can be recovered after a washing process with an organic solvent and repeatedly used. The sensitive SERS performance is attributed to chemical enhancement through a charge transfer process. Moreover, the SERS performance is also found to be dependent on the light coupling effect. When the light absorbance rate of the α-Fe2O3 films increases at a wavelength near that of laser light, the film shows excellent sensitivity due to light coupling effect. [ABSTRACT FROM AUTHOR]

Both humans and objects can emit infrared (IR) wavelengths which generate thermal emissions that can be detected with an IR camera. Therefore, highly IR reflective materials have been the subject of interest recently, for example, in achieving IR stealth. In this work, IR reflective coatings on polyester fabric in the form of a titanium dioxide/copper/titanium dioxide (TiO2/Cu/TiO2; TCT) sandwich-like structure are fabricated by using magnetron sputtering. The coated fabric samples are then examined by using an energy dispersive X-ray detector, a scanning electron microscope and an X-ray diffractometer. The reflection of IR wavelengths which range from 8 to 14 µm of the TCT coated fabric is evaluated. The bending stiffness, and mechanical and adhesion strengths of the coated fabric samples are also investigated. The results show that the TCT sandwich-like structure on the polyester fabric sputtered for 30 min with Cu which results in a Cu film of 200 nm in thickness is observed to have the maximum reflection of IR wavelengths. The color of the TCT coated polyester fabric samples sputtered for 5, 10, 20, and 30 min with Cu is green, yellow, brown and purple, respectively. The TCT coated fabric therefore has potential applications as IR protection textiles for military purposes. [ABSTRACT FROM AUTHOR]

Samples of the woven cotton fabric are first modified with a continuous polyvinyl alcohol (PVA) thin film by using the padding method and then coated with copper (Cu), titanium and stainless steel (SS) respectively, by using a magnetron sputtering system. The samples are then systematically characterized with energy dispersive X-ray spectroscope, X-ray diffractometer, and scanning electron microscope. The infrared (IR), ultraviolet and electromagnetic interference shielding properties of the samples are also well investigated, as well as the contact angle (CA), light transmittance and conductivity. The results show that pretreatment with PVA can enlarge the light transmittance of cotton fabric. The metal coated PVA/cotton samples show a better performance in electro-conductivity although there is a little bit decrease in other properties compared to the metal coated cotton fabric. The Cu coated PVA/cotton sample has a higher electromagnetic interference shielding effectiveness of − 30 dB, a lower electrical resistivity of 5.49 × 10−6 Ω m, while the Cu coated cotton sample presents a higher IR reflection rate about 25%, the SS coated cotton fabric show a higher CA of 128.2 °and UPF of 117.647. The excellent properties of the coated cotton fabric mean that it is a promising electro-conductive and multi-shielding textile for smart applications. [ABSTRACT FROM AUTHOR]

During periods of severe hypoxia or anoxia, Carassius spp. are known for their ability to produce ethanol as their anaerobic end product, which diffuses into the environment thereby reducing the osmotic and acidotic load associated with “anaerobic” glycolysis. However, the relationship between alcohol dehydrogenase (ADH) and acetaldehyde dehydrogenase (ALDH) activities, key ethanol metabolizing enzymes, and hypoxia tolerance among Carassius spp. and their closely related non-ethanol-producing cyprinids remains unclear. To address this, we quantified the activity levels of key anaerobic enzymes in liver and muscle in species of cyprinids over 48 h of severe hypoxia exposure (0.7 kPa). As predicted, muscle ADH activity was highest in the two most hypoxia-tolerant species (Carassius spp.), with very low levels present in the other species examined. However, liver ADH activities showed an inverse relationship with hypoxia tolerance, with the most hypoxia-tolerant fish having the lowest ADH activity. There was no correlation between hypoxia tolerance and ALDH and LDH activities in muscle or liver. All species produced lactate, reaching their highest levels after 8 h, but returning to near-baseline levels by 48 h of sustained exposure to hypoxia, suggesting lactate oxidation or depressed ATP demand. Liver glycogen content was not affected by 48 h hypoxia exposure in the most hypoxia-tolerant species, whereas the least tolerant species consumed the majority of the liver glycogen stores, which is probably due to the greater relative hypoxia exposure experienced by these species. Our findings that liver ADH activities were inversely related to hypoxia tolerance suggests that in all but Carassius spp., the ethanol metabolizing pathways in cyprinids is largely similar to that observed in other vertebrates and plays a role in the detoxification of ethanol. Furthermore, conservation of glycogen stores may be the result of metabolic-depressing pathways in the more tolerant species, regardless of the ability to produce ethanol, or adaptations that improve oxygen uptake to reduce metabolic demands due to hypoxia. [ABSTRACT FROM AUTHOR]

Copper (Cu) is deposited as a film onto polyamide-6 (PA-6) fibers with a magnetron sputtering technology by using a self-assembly machine with a winding unit. The Cu coated PA-6 fibers are characterized by using surface profiler, X-ray diffractometer and scanning electron microscope. The electrical conductivity, Raman spectra, tensile strain and tensile stress of Cu coated PA-6 fibers are also systematically investigated. The results show that the mean value of the electrical conductivity of Cu-coated PA-6 fibers increases with decrease of winding speeds and reaches 7.03 × 10 Ω m at 4.7 cm/min. The Cu coated PA-6 fibers are used as electric wires to light the LEDs. The Raman characteristic peak of PA-6 fiber in the spectra is influenced after coating. With the drop of winding speed, the tensile strain and tensile stress of coated PA-6 fibers both decrease after Cu deposition. [ABSTRACT FROM AUTHOR]

Zirconium carbide (ZrC) films are deposited onto polyester fabric through magnetron sputtering. The deposited films are then examined by using field scanning electron microscopy and energy dispersive X-ray spectroscopy. The photothermal conversion property, film thickness, infrared reflectance and transmittance, and thermal conductivity are also evaluated. The results show that the highest far-infrared emissivity of polyester fabric deposited with ZrC is 0.9379. The ZrC deposited samples showed a small increase in thermal conductivity with a difference of 0.0611W/m·K, and a higher photothermal conversion efficiency with a temperature increase of 27.5 °C in 100 s, when the thickness of the ZrC film is 1920 nm. These therefore indicate that coating fabrics with ZrC through magnetron sputtering is an environmentally friendly means to produce textiles with photo-thermal conversion and heat insulation properties. [ABSTRACT FROM AUTHOR]

Background: Laparoscopic common bile duct exploration (LCBDE) has gained wide popularity in the treatment of choledocholithiasis. Bile leakage remains a major cause of postoperative morbidity. The aim of this study was to report 5-year results of 500 LCBDEs and identify risk factors associated with bile leakage.Methods: Five hundred consecutive LCBDEs performed in one institution from September 2011 to June 2016 were reviewed. Patients' clinical data were retrospectively collected and analyzed. Univariable and multivariable analysis of bile leakage was performed by logistic regression.Results: We found stones (n = 388) or bile sludge (n = 71) in 459 patients (92%) on exploration, leaving 41 patients (8%) without stones. Operative time was 128 min in the first 250 LCBDEs, and this decreased to 103 min in the second 250 LCBDEs (P = 0.0004). Four hundred and eight (82%) procedures were completed with primary closure after choledochotomy; the rate of primary closure increased significantly in the second 250 patients compared with the first (88 vs 76%; P = 0.0005), whereas T-tube placement (2 vs 6%; P = 0.0225) and transcystic approach (7 vs 12%; P = 0.0464) decreased, respectively. Stone clearance was successful in 495 patients (99%). Overall morbidity was 5%, and bile leakage occurred in 17 patients (3.4%). Two patients died from bile leakage. The median follow-up was 24 months with stone recurrence occurred in two patients and bile duct stricture in one patient. Univariable analysis identified diameter of the common bile duct (CBD), stone clearance, and T-tube insertion as risk factors related to bile leakage. Multivariable analysis taking these three factors into account identified non-dilated CBD (risk ratio (RR) = 9.87; P = 0.007) and failure in stone clearance (RR = 11.88; P = 0.024) as significant risk factors.Conclusions: Bile leakage following LCBDE is associated with diameter of the CBD and stone clearance. LCBDE would be safer in proficient laparoscopic surgeons with a careful selection of patients. [ABSTRACT FROM AUTHOR]

Grains of Al-1Si(wt%) alloy were refined by accumulative continuous extrusion forming (ACEF). Electron backscatter diffraction and transmission electron microscopy were used to analyze the microstructure evolution of the Al-1Si(wt%) alloy. The grain size of the alloy decreased from 54.36 to 2.59 μm after four passes of ACEF. The grain refinement was attributed to continuous dynamic recrystallization (CDRX). The enhanced effect of nanosized precipitates on CDRX was pronounced. Nanosized eutectic Si precipitates retained a high density of dislocations in the alloy by promoting their generation and pile-up, resulting in an increase in the driving force for CDRX and a consequent promotion of grain refinement. After 4 ACEF passes, the tensile yield strength of the alloy at room temperature increased from 102 MPa to 117 MPa. Further, the elongation of the alloy at room temperature decreased from 38 to 17 % after 3 ACEF passes and subsequently increased to 23 % after 4 ACEF passes. [ABSTRACT FROM AUTHOR]

Environmental DNA (eDNA) represents a sensitive and efficient method for noninvasively sampling rare or otherwise hard to monitor taxa, potentially making it a powerful tool for conservation management. Still, this novel method can be affected by sampling protocols, abiotic characteristics of the microhabitat, the focal taxa itself, and primer design. Here we designed 12 species-specific primers for the critically endangered Yangtze finless porpoise ( Neophocaena asiaeorientalis asiaeorientalis) inhabiting the middle to lower Yangtze River in China to enable complementary population survey tools for conservation efforts. Representing primer pairs that amplify a range of DNA fragment sizes, we test these primers for sensitivity at amplifying finless porpoise DNA using conventional PCR from serial diluted blood samples, and from eDNA in aquaria and in the wild, including a nature reserve and a negative control site. We further investigated the capacity for these primers to detect finless porpoise DNA signals from water samples over a 30-day period. Our study presents which primers were successful at amplifying finless porpoise DNA from aquaria and in the wild, and further demonstrates no significant amplicon size effects on primer sensitivity or longevity. We summarize the impact primer design may have on eDNA applications in general and suggest future considerations for conservation efforts with the Yangtze finless porpoise. [ABSTRACT FROM AUTHOR]

As cities grow, automobile exhaust pollution is worsening, which has become a major problem of air pollution, even it is a serious threat to the physical and mental health of residents. Thus, to study its diffusion law and influential factors occupies a count for much position. The paper analyzes the factors that affect the dispersion of urban vehicle emissions in street canyon to evaluate the research method of pollutant dispersion. In addition, the influences of different wind speeds and wind directions, the roof shape of buildings on both street sides, and the relative height of the two sides of buildings on the street canyon, on airflow field and pollutant dispersion are simulated. It is shown that the wind speed, the wind direction and the buildings on both sides have a great impact on the airflow and contaminant dispersion in the street canyon. The results provide scientific basis for controlling, monitoring and evaluating the urban motor vehicle emissions, besides the reasonable layout and the programme of urban streets. [ABSTRACT FROM AUTHOR]

This paper focuses on the flow characteristic and local resistance of non-Newtonian power law fluid in a curved 90° bend pipe with circular cross-sections, which are widely used in industrial applications. By employing numerical simulation and theoretical analysis the properties of the flow and local resistance of power law fluid under different working conditions are obtained. To explore the change rule the experiment is carried out by changing the Reynolds number, the wall roughness and different diameter ratio of elbow pipe. The variation of the local resistance coefficient with the Reynolds number, the diameter ratio and the wall roughness is presented comprehensively in the paper. The results show that the local resistance force coefficient hardly changes with Reynolds number of the power law fluid; the wall roughness has a significant impact on the local resistance coefficient. As the pipe wall roughness increasing, the coefficient of local resistance force will increase. The main reason of the influence of the roughness on the local resistance coefficient is the increase of the eddy current region in the power law fluid flow, which increases the kinetic energy dissipation of the main flow. This paper provides theoretical and numerical methods to understand the local resistance property of non-Newtonian power law fluid in elbow pipes. [ABSTRACT FROM AUTHOR]

Breeding of naturally colored cotton fiber has been hampered by the limited germplasm, an alternative way is to use transgenic approach to create more germplasm for breeding. Here, we report our effort to engineer anthocyanin production in cotton. The maize Lc gene, under the control of the constitutive 35S promoter, was introduced into cotton through genetic transformation. Our data showed that the expression of the Lc gene alone is sufficient to trigger the accumulation of anthocyanin in a variety of cell types including fiber cells in cotton. However, the accumulation of colored anthocyanin in cotton fibers requires the participation of light signaling. These data indicate that it is feasible to engineer colored fibers through transgenic approach in cotton. Furthermore, we showed that the Lc-transgenic cotton plants are resistant to cotton bollworm. These transgenic plants are, therefore, potentially useful for cotton breeding against cotton bollworm. [ABSTRACT FROM AUTHOR]

A blow-up analysis for a nonlinear divergence form of parabolic equation with time-dependent coefficients is given under nonlinear boundary flux in a bounded star-shaped region. We establish some conditions on time-dependent coefficients and nonlinearities to guarantee existence of global solution or blow-up solution at some finite time t*. Moreover, an upper bound for t* is derived. Under somewhat more restrictive conditions, a lower bound for t* can be obtained. Finally, some application examples to verify the bounds of t* are presented. .. [ABSTRACT FROM AUTHOR]

Online aggregation (OLA) is an attractive sampling-based technology to response aggregation queries by an approximate estimate to the final result, with the confidence interval becomes tighter over time. It has been built into the MapReduce-based cloud system for big data analytics, which allows users to monitor the query progress, and save money by killing the computation early once sufficient accuracy has been obtained. However, there is a serious limitation that restricts the performance of OLA that is the sharing issue of multiple OLA queries processing. Note that, in the original MapReduce paradigm, each query is processed independently without considering the potential sharing opportunities, leading to two major unnecessary additional execution costs: (1) the large redundant I/O cost, and (2) the replicative statistical computation cost. To eliminate such additional execution cost and improve the overall performance, we present online aggregation with two-level sharing strategy in cloud (OATS) based on MapReduce framework in this paper to effectively support online aggregation for large scale concurrent query processing in skewed data distribution. In the first-level sharing, we propose a sample buffer management mechanism to share the sampling opportunities among multiple OLA queries to reduce redundant I/O cost. While in the second-level sharing, we propose a heuristic algorithm (with a good scalability for large input) for the statistical computation to share partial statistics calculation to decrease the number of final aggregation operations, reducing the statistical computation cost. Based on such two-level sharing strategy, we have implemented OATS in Hadoop and conducted an extensive experiments study on the TPC-H benchmark for skewed data distribution. Our results demonstrate the efficiency and effectiveness of OATS. [ABSTRACT FROM AUTHOR]

In this paper we propose an approximation algorithm, which is called ADCMCST (algorithm with the minimum number of child nodes when the depth is restricted), to construct a tree network for homogeneous wireless sensor network, so as to reduce and balance the payload of each node, and consequently prolong the network lifetime. When the monitoring node obtains the neighbor graph, ADCMCST tries to find a tree topology with a minimum number of child nodes, and then broadcast the topology to every node, and finally a tree network is constructed. Simulation results show that ADCMCST could greatly reduce the topology formation time, and achieve good approximation results; when the compression ratio is less than 70 %, the network lifetime of ADCMCST will be larger than that of energy driven tree construction. [ABSTRACT FROM AUTHOR]