Landslides are natural phenomena that can cause great loss of life and damage to property. A landslide susceptibility map is a useful tool to help with land management in landslide-prone areas. A ...support vector machine (SVM) is a machine learning algorithm that uses a small number of samples for prediction and has been widely used in recent years. This paper presents a review of landslide susceptibility mapping using SVM. It presents the basic concept of SVM and its application in landslide susceptibility assessment and mapping. Then it compares the SVM method with four other methods (analytic hierarchy process, logistic regression, artificial neural networks and random forests) used in landslide susceptibility mapping. The application of SVM in landslide susceptibility assessment and mapping is discussed and suggestions for future research are presented. Compared with some of the methods commonly used in landslide susceptibility assessment and mapping, SVM has its strengths and weaknesses owing to its unique theoretical basis. The combination of SVM and other techniques may yield better performance in landslide susceptibility assessment and mapping. A high-quality informative database is essential and classification of landslide types prior to landslide susceptibility assessment is important to help improve model performance.
•Comparing different landslide susceptibility mapping models from various aspects•Reconsidering the assumptions used in building the model.•Proposing future works by SVM to assess landslide susceptibility.
Background and Aims
Aristolochic acid (AA) exposure has been statistically associated with human liver cancers. However, direct evidence of AA exposure–induced liver cancer is absent. This study aims ...to establish a direct causal relationship between AA exposure and liver cancers based on a mouse model and then explores the AA‐mediated genomic alterations that could be implicated in human cancers with AA‐associated mutational signature.
Approach and Results
We subjected mice, including phosphatase and tensin homolog (Pten)‐deficient ones, to aristolochic acid I (AAI) alone or a combination of AAI and CCl4. Significantly, AAI exposure induced mouse liver cancers, including hepatocellular carcinoma (HCC) and combined HCC and intrahepatic cholangiocarcinoma, in a dose‐dependent manner. Moreover, AAI exposure also enhanced tumorigenesis in these CCl4‐treated or Pten‐deficient mice. AAI led to DNA damage and AAI‐DNA adduct that could initiate liver cancers through characteristic adenine‐to‐thymine transversions, as indicated by comprehensive genomic analysis, which revealed recurrent mutations in Harvey rat sarcoma virus oncogene. Interestingly, an AA‐associated mutational signature was mainly implicated in human liver cancers, especially from China. Moreover, we detected the AAI‐DNA adduct in 25.8% (16/62) of paratumor liver tissues from randomly selected Chinese patients with HCC. Furthermore, based on phylogenetic analysis, the characteristic mutations were found in the initiating malignant clones in the AA‐implicated mouse and human liver cancers where the mutations of tumor protein p53 and Janus kinase 1 were prone to be significantly enriched in the AA‐affected human tumors.
Conclusions
This study provides evidence for AA‐induced liver cancer with the featured mutational processes during malignant clonal evolution, laying a solid foundation for the prevention and diagnosis of AA‐associated human cancers, especially liver cancers.
Since the reform and opening up, the prosperity of culture has always been the strong desire of the party and the country, and repeatedly put forward the goal of improving the public cultural service ...system (PCSS), requiring priority development of infrastructure construction related to the vital cultural interests of the people. Urban cultural facilities (UCF) are an important material basis in the cultural service system. The essential assurance for achieving the goal of developing a PCSS that covers the entire community is to improve the layout of cultural facilities (CF) and to allocate CF in a scientific and reasonable manner. This research examines the geographical layout characteristics of CF in Xiamen using POI data from libraries, art galleries, and museums crawled by Baidu API and spatial statistical tools such as ArcGIS. Taking the interest points of cultural promote serving residents as research objects, the advancement of spatial pattern of CF in Zhengzhou in 2007 and 2017 was quantitatively analyzed by using standard deviation ellipse and kernel density analysis. The paper compares and analyzes the location distribution characteristics of museums, libraries, cultural centers, art galleries and theaters from two aspects of macro spatial form and microgathering center. Residents’ behavioral characteristics are introduced to examine the influence on the spatial form of CF, and appropriate suggestions are made for the planning and development of CF in Zhengzhou, based on large-scale field survey data and geographical detectors. This article, on the analysis of the state and international public facilities location layout on the basis of optimization study, starting from the present circumstances of urban public sports facilities layout, puts forward the geographic information system (GIS) technology and local approximation (LA) model is introduced into urban public sports service facility location, using DNSCAN network analysis function of urban public sports facilities in site selection and layout optimization, Provide a new method for site selection of sports facilities. And the actual case analysis, in order to provide a reference for the future location layout of public service facilities. Zhengzhou cultural resources through the establishment of GIS database, investigation, cultural needs, put forward the planning should not only include public CF, CF planning should also include the cultural heritage, cultural creative industry, and put forward the development strategy of the construction of the overall urban culture network, realize the cultural space planning and career planning, the fusion of the culture industry planning.
Although nanorobots may play critical roles for many applications in the human body, such as targeting tumoral lesions for therapeutic purposes, miniaturization of the power source with an effective ...onboard controllable propulsion and steering system have prevented the implementation of such mobile robots. Here, we show that the flagellated nanomotors combined with the nanometer-sized magnetosomes of a single magnetotactic bacterium can be used as an effective integrated propulsion and steering system for devices, such as nanorobots, designed for targeting locations only accessible through the smallest capillaries in humans while being visible for tracking and monitoring purposes using modern medical imaging modalities such as magnetic resonance imaging. Through directional and magnetic field intensities, the displacement speeds, directions, and behaviors of swarms of these bacterial actuators can be controlled from an external computer.
Time-variant reliability analysis (TRA) has drawn tremendous interest of engineers attributable to its ability in assessing the probability that a system performs its intended function over the time ...interval of interest. This paper proposes a new simulation method for TRA by combining moment-based Hermite polynomial model (HPM) and importance sampling (IS). By evaluating the statistical moments of limit state function (LSF) and using moment-based HPM, the LSF is transformed into a moment-based equivalent Gaussian process. Then, based on the concept of the composite limit state, the time-variant reliability problem is equivalent to solving a multi-dimensional Gaussian integral. To improve the computational efficiency, an efficient updating strategy is proposed to simultaneously construct Kriging models for both the mean value function and auto-correlation function of this process. Meanwhile, an efficient IS method is also developed to combine Expansion Optimal Linear Estimation for solving multi-dimensional Gaussian integral. The efficiency and accuracy of the proposed method is demonstrated through three numerical examples involving nonlinear LSFs and non-stationary non-Gaussian processes.
Direct methanol fuel cells (DMFC) have attracted increasing research interest recently; however, their output performance is severely hindered by the sluggish kinetics of the methanol oxidation ...reaction (MOR) at the anode. Herein, unique hierarchical Pt-In NWs with uneven surface and abundant high-index facets are developed as efficient MOR electrocatalysts in acidic electrolytes. The developed hierarchical Pt
In
NWs exhibit high MOR mass activity and specific activity of 1.42 A mg
and 6.2 mA cm
, which are 5.2 and 14.4 times those of Pt/C, respectively, outperforming most of the reported MORs. In chronoamperometry tests, the hierarchical Pt
In
NWs demonstrate a longer half-life time than Pt/C, suggesting the better CO tolerance of Pt
In
NWs. After stability, the MOR activity can be recovered by cycling. XPS, CV measurement and CO stripping voltammetry measurements demonstrate that the outstanding catalytic activity may be attributed to the facile removal of CO due to the presence of In site-adsorbing hydroxyl species.
Reasonable carbon price can effectively promote the low-carbon transformation of economy. The future carbon price has an important guiding significance for enterprises and the country. However, the ...nonlinear and high noise characteristics inherent in carbon price make them challenging to predict accurately. A hybrid decomposition and integration prediction model is proposed using the Hodrick-Prescott filter, an improved grey model and an extreme learning machine to solve this problem. First, a large number of factors that influence carbon price are collected by meta-analysis. The final input is selected through a two-stage feature selection process. Second, the HP filter is used to decompose the input into long-term trends and short-term fluctuations predicted by the improved GM and ELM, respectively. Finally, the two prediction sequences are compared to obtain the final result. European Union Allowances futures price data are applied for empirical analysis. The results show that the prediction performance of this model is better than the other 10 benchmark models, the T-bill, Stoxx50, S&P clean energy index and Brent oil price in the financial and energy markets are helpful in the carbon price's prediction. T-bill affects carbon price frequently, Stoxx50 has a negative correlation with the carbon price in the influence period. Under normal circumstances, the S&P clean energy index is positively correlated with the carbon price. However, when the economic situation is depressed, resulting in a short-term negative correlation between them. In general, carbon market is significantly affected by cross spill over between different markets. The method not only improves the accuracy of carbon price forecast, but also the application of the improved GM explains the reasons for the change of carbon price, which is helpful to promote the realization of carbon neutralization by market-oriented means.
Fig. HP filter based on VGM-ELM hybrid forecasting model. Display omitted
•A multi-factor decomposition and integration carbon price forecasting model•An improved GM is developed to predict the long-term trend of carbon prices.•Brent oil prices, S&P clean energy, T-bill and Stoxx-50 index generally affect carbon prices.•Prediction weight of carbon price influencers and time-varying impact analysis•Policy recommendations on reducing carbon emissions and guiding carbon market's investors based on the forecasting model
Interleukin-6 as a therapeutic target Rossi, Jean-François; Lu, Zhao-Yang; Jourdan, Michel ...
Clinical cancer research,
03/2015, Volume:
21, Issue:
6
Journal Article
Peer reviewed
Open access
Human IL6 is a cytokine produced by many cell types that has pleiotropic effects. In agreement, anti-IL6 therapy reduces inflammation, hepatic acute phase proteins, and anemia and has antiangiogenic ...effects. Blocking IL6 has demonstrated therapeutic efficacy with drug registration in Castleman disease and inflammatory diseases (rheumatoid arthritis) without major toxicity. Interestingly, the inhibition of C-reactive protein (CRP) production is a trustworthy surrogate marker of anti-IL6 therapy efficacy. Clinically registered IL6 inhibitors include siltuximab, an anti-IL6 mAb, and tocilizumab, an anti-IL6R mAb. In various cancers, in particular plasma cell cancers, large randomized trials showed no efficacy of IL6 inhibitors, despite a full inhibition of CRP production in treated patients in vivo, the numerous data showing an involvement of IL6 in these diseases, and initial short-term treatments demonstrating a dramatic inhibition of cancer cell proliferation in vivo. A likely explanation is the plasticity of cancer cells, with the presence of various subclones, making the outgrowth of cancer subclones possible using growth factors other than IL6. In addition, current therapeutic strategies used in these cancers already target IL6 activity. Thus, anti-IL6 therapeutics are able to neutralize IL6 production in vivo and are safe and useful in inflammatory diseases and Castleman disease.
Covalent Organic Frameworks (COFs) demonstrate promising potential in the photocatalytic synthesis of H2O2 owing to favorable light absorption, superior charge separation, and considerable surface ...area. However, the efficiency of H2O2 photosynthesis is impeded by insufficient O2 adsorption sites and a high reaction barrier. In this work, various metal single atoms (Fe, Co, Ni) are introduced onto covalent triazine frameworks (CTFs) with N-N coordination sites to significantly enhance O2 adsorption and optimize H2O2 synthesis. Computational findings suggest that the presence of Fe, Co, and Ni not only enhances O2 adsorption but also exerts an influence on the reaction pathway of H2O2. Significantly, Fe exhibits a distinct advantage in modulating O2 adsorption through its unique electron spin state when compared to Co and Ni, as confirmed by crystal orbital Hamilton population (COHP) analysis. Additionally, this integration of metal atoms also improves light absorption and charge separation in CTFs. The study provides strategic insight into elevating H2O2 production by incorporating tailored metal single atoms into COFs.
Phosphorus‐modified tungsten nitride/reduced graphene oxide (P‐WN/rGO) is designed as a high‐efficient, low‐cost electrocatalyst for the hydrogen evolution reaction (HER). WN (ca. 3 nm in size) on ...rGO is first synthesized by using the H3PO4(W3O9)4 cluster as a W source. Followed by phosphorization, the particle size increase slightly to about 4 nm with a P content of 2.52 at %. The interaction of P with rGO and WN results in an obvious increase of work function, being close to Pt metal. The P‐WN/rGO exhibits low onset overpotential of 46 mV, Tafel slope of 54 mV dec−1, and a large exchange current density of 0.35 mA cm−2 in acid media. It requires overpotential of only 85 mV at current density of 10 mA cm−2, while remaining good stability in accelerated durability testing. This work shows that the modification with a second anion is powerful way to design new catalysts for HER.
Boosting HER activity by phosphorus modification of tungsten nitride/reduced graphene oxide leads to a low‐cost, high‐performance, non‐noble metal electrocatalyst for the hydrogen evolution reaction. The catalyst has a very small onset overpotential, a low Tafel slope, a large exchange current density in acid, and was stable in accelerated durability testing.
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