This research determines the unemployment risk indicators and constructs the unemployment risk early warning model of Guizhou Province through the hierarchical regression model, using software ...technology and combining the relevant indicator data of Guizhou Province. Then, according to the previous research, the unemployment warning line of Guizhou Province is determined. The registered unemployment rate of cities and towns in Guizhou Province and the unemployment rate predicted by the unemployment risk early warning model are compared with the unemployment warning line. Then, according to the comparison results, the unemployment situation in Guizhou Province is analyzed, and relevant policy suggestions and unemployment early warning are put forward.
Porous features of mesoporous metal nanocrystals are critically important for their applications in catalysis, sorption, and biomedicine and bioimaging. However, precisely engineering porous ...architectures of mesoporous metals is still highly challenging. Herein, we report a facile soft-templating strategy to precisely engineer porous architectures of multicomponent PdCuBP mesoporous nanospheres (MSs) by using the surfactants with different amphiphilic features. Three kinds of MSs with distinct porous architectures, including three-dimensional (3D) opened/interconnected dendritic mesopores (dMSs), one-dimensional (1D) cylindered mesopores (cMSs), and zero-dimensional (0D) spherical mesopores (sMSs), are prepared. This surfactant-templating method is generally extended to regulate elemental compositions of multicomponent MSs. The resultant Pd-based MSs have been evaluated as the electrocatalysts for ethanol oxidation reaction (EOR). Our results show that quaternary PdCuBP dMSs display remarkably high catalytic activity and better stability for electrocatalytic EOR, compared to those of multicomponent MSs with other porous architectures and less elemental compositions. Mechanism studies reveal that PdCuBP dMSs combine multiple structural and compositional advantages, which kinetically accelerate the electron/mass transfers and also improve the tolerances to poisoning intermediates. We believe that the porous architecture engineering in mesoporous metal electrocatalysts will present a new way to design highly efficient electrocatalysts with desired porous systems and explore their relations towards (electro)catalysis.
Full text
Available for:
EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Display omitted
We report rational design and syntheses of ternary noble metal-metalloid-nonmetal alloy nanowires (NWs) as a novel electrocatalyst for electrochemical ethanol oxidation reaction ...(EOR). This novel electrocatalyst is formed in an aqueous solution via anisotropic nucleation and growth of ternary PdBP alloy NWs along assembled cylinder template of Plurolic F127 on a nitrogen-functionalized graphene support (denoted as PdBP NWs@N-G). We find that uniformly alloying B and P intrinsically modulates the electronic states of Pd catalyst and also introduces new functions into the catalyst, while NW structure supported on the N-G exposes more electrocatalytic active sites and accelerates electron/mass transfers. Such add-in synergies of PdBP NWs@N-G kinetically facilitate the removal and/or further oxidation of CO-based poisoning intermediates, thus remarkably enhancing the electrocatalytic EOR performance. They exhibit a high mass activity of 4.15 A mgPd−1 and superior cycling and chronoamperometric stability for electrocatalytic EOR, much better than previously reported monometallic Pd-based nanocatalysts. More interestingly, this design strategy can be easily extended to develop more sophisticated NWs catalysts with more compositions (for example quaternary PdCuBP NWs@N-G) that further tunes the electronic and bifuntional effects for various desired catalysis and electrocatalysis.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract
5-Methylcytosine (m5C) plays an extremely important role in the basic biochemical process. With the great increase of identified m5C sites in a wide variety of organisms, their epigenetic ...roles become largely unknown. Hence, accurate identification of m5C site is a key step in understanding its biological functions. Over the past several years, more attentions have been paid on the identification of m5C sites in multiple species. In this work, we firstly summarized the current progresses in computational prediction of m5C sites and then constructed a more powerful and reliable model for identifying m5C sites. To train the model, we collected experimentally confirmed m5C data from Homo sapiens, Mus musculus, Saccharomyces cerevisiae and Arabidopsis thaliana, and compared the performances of different feature extraction methods and classification algorithms for optimizing prediction model. Based on the optimal model, a novel predictor called iRNA-m5C was developed for the recognition of m5C sites. Finally, we critically evaluated the performance of iRNA-m5C and compared it with existing methods. The result showed that iRNA-m5C could produce the best prediction performance. We hope that this paper could provide a guide on the computational identification of m5C site and also anticipate that the proposed iRNA-m5C will become a powerful tool for large scale identification of m5C sites.
Full text
Available for:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Designing implant surgical guides for patients undergoing orthodontics merely by merging data imaging and communications in medicine (DICOM) files generated from cone beam computed tomography (CBCT) ...images and standard tessellation language (STL) files generated from surface scanners is challenging because of the inaccuracy caused by metal artifacts. The present technique describes a straightforward and effective method of fabricating a surgical guide with the aid of fiducial markers made from cotton swabs and flowable resin. The implant surgical guide is designed by using a software program after the superimposition of digital scan and CBCT data. This chairside technique provides an accurate, convenient, and cost-effective option for the clinician.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract
The rapid spread of SARS-CoV-2 infection around the globe has caused a massive health and socioeconomic crisis. Identification of phosphorylation sites is an important step for understanding ...the molecular mechanisms of SARS-CoV-2 infection and the changes within the host cells pathways. In this study, we present DeepIPs, a first specific deep-learning architecture to identify phosphorylation sites in host cells infected with SARS-CoV-2. DeepIPs consists of the most popular word embedding method and convolutional neural network-long short-term memory network architecture to make the final prediction. The independent test demonstrates that DeepIPs improves the prediction performance compared with other existing tools for general phosphorylation sites prediction. Based on the proposed model, a web-server called DeepIPs was established and is freely accessible at http://lin-group.cn/server/DeepIPs. The source code of DeepIPs is freely available at the repository https://github.com/linDing-group/DeepIPs.
Full text
Available for:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Spinal cord injury (SCI) is a common critical illness in clinical practice. SCI prevention, treatment and rehabilitation have become important topics in today's medical profession. Studies have shown ...that long noncoding RNAs (lncRNAs) also play an important role in the pathology of SCI. The biology software analysis identified miR-199a binding sites in the lncRNA-Map2k4 and FGF1 sequences, which were confirmed by the subsequent dual luciferase reporter assay. When lncRNA-Map2k4 expression was down-regulated by siRNA, miR-199a expression in neurons was up-regulated and FGF1 expression was down-regulated. In turn, miR-199a up-regulation inhibited lncRNA-Map2k4 and FGF1 expression. But when lncRNA-Map2k4-m (a lncRNA-Map2k4 overexpression vector with mutated miR-199a binding sites) was co-transfected into neuronal cells with miR-199a mimics, lncRNA-Map2k4-m over-expression did not block the inhibition of FGF1 expression by miR-199a. Moreover, lncRNA-Map2k4 and FGF1 promoted the proliferation and inhibited the apoptosis of neuronal cells, whereas miR-199a down-regulated the aforementioned functions of lncRNA-Map2k4 and FGF1; however, lncRNA-Map2k4-m could not block the inhibitory action of miR-199a on proliferation. Thus, lncRNA-Map2k4 regulates neuronal proliferation and apoptosis through a miR-199a/FGF1 pathway. This finding provides more evidence for the role of lncRNAs in SCI.
•lncRNA-Map2k4 is the target gene of miR-199a, and its down-regulation promotes miR-199a expression in neurons.•miR-199a targeted regulation of FGF1 expression in neurons.•Knockdown of lncRNA-Map2k4 inhibited the FGF1 expression by up-regulating miR-199a.•lncRNA-Map2k4 regulates neuron proliferation and apoptosis through an miR-199a/FGF1 pathway.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Abstract
Motivation
Protein carbonylation is one of the most important oxidative stress-induced post-translational modifications, which is generally characterized as stability, irreversibility and ...relative early formation. It plays a significant role in orchestrating various biological processes and has been already demonstrated to be related to many diseases. However, the experimental technologies for carbonylation sites identification are not only costly and time consuming, but also unable of processing a large number of proteins at a time. Thus, rapidly and effectively identifying carbonylation sites by computational methods will provide key clues for the analysis of occurrence and development of diseases.
Results
In this study, we developed a predictor called iCarPS to identify carbonylation sites based on sequence information. A novel feature encoding scheme called residues conical coordinates combined with their physicochemical properties was proposed to formulate carbonylated protein and non-carbonylated protein samples. To remove potential redundant features and improve the prediction performance, a feature selection technique was used. The accuracy and robustness of iCarPS were proved by experiments on training and independent datasets. Comparison with other published methods demonstrated that the proposed method is powerful and could provide powerful performance for carbonylation sites identification.
Availability and implementation
Based on the proposed model, a user-friendly webserver and a software package were constructed, which can be freely accessed at http://lin-group.cn/server/iCarPS.
Supplementary information
Supplementary data are available at Bioinformatics online.
Alloying is one of the most promising routes for tuning the physicochemical properties of noble metal-based nanocatalysts and thus improving their (electro)catalytic performance. Despites numerous ...achievements, bimetallic and trimetallic nanoalloys have still been thoroughly studied for the past two decades. In this study, metalloid boron (B) was alloyed within palladium (Pd)-based nanocatalysts to promote the electrochemical ethanol oxidation reaction (EOR) in alkaline media. The optimum PdCuB nanocatalyst exhibited remarkable electrochemical EOR activity (5.83 A mgPd –1) and good operation stability (both cycling and chronoamperometric studies). Mechanistic studies in both pure KOH and a KOH/ethanol mixture attributed superior EOR performance to positive synergistic effects of B in Pd-based nanocatalysts that kinetically accelerated the removal of poisoning ethoxy intermediates (the rate-determining step of EOR). They included (i) an electronic effect that changed the electronic structure of Pd and thus weakened the adsorption of poisoning ethoxy intermediates, (ii) a bifunctional effect that facilitated the adsorption of OHads and thus kinetically accelerated the further oxidation of poisoning intermediates, and (iii) a structural effect in which smaller B interstitially inserted into Pd-based nanocrystals and thus suppressed the physical Ostwald ripening processes.
Full text
Available for:
IJS, KILJ, NUK, PNG, UL, UM
Phosphorescent materials as block elements to build artwork incorporating the time and emission, enable them with spectacular lighting effects. In this work, enhanced phosphorescence of carbon ...nanodots (CNDs) is demonstrated via double confinement strategy, which silica and epoxy resin are used as the first and the second order confinement layer. The multi‐confined CNDs show an enhanced phosphorescence quantum yield up to 16.4%, with enduring emission lifetime up to 1.44 s. Delicately, the plasticity of the epoxy resin enables them easily to be designed for 3D artworks with long emission lifetimes in different shapes. The efficient and eco‐friendly phosphorescent CNDs may arouse intense interest both in the academic community and markets.
Enhanced phosphorescence of carbon nanodots (CNDs) is demonstrated via double confinement strategy, the plasticity of the epoxy resin enables them easily to be designed for 3D artworks with long emission lifetimes in different shapes.
Full text
Available for:
BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
PDF
