Profiling the spatial-temporal expression pattern and characterizing the regulatory networks of brain tissues are vital for understanding the pathophysiology of Alzheimer's disease (AD).
We performed ...a systematic integrated analysis of expression profiles of AD-affected brain tissues (684 AD and 562 controls). A network-based convergent functional genomic approach was used to prioritize possible regulator genes during AD development, followed by functional characterization.
We generated a complete list of differentially expressed genes and hub genes of the transcriptomic network in AD brain and constructed a Web server (www.alzdata.org) for public access. Seventeen hub genes active at the early stages, especially YAP1, were recognized as upstream regulators of the AD network. Cellular assays proved that early alteration of YAP1 could promote AD by influencing the whole transcriptional network.
Early expression disturbance of hub genes is an important feature of AD development, and interfering with this process may reverse the disease progression.
Metal–organic frameworks (MOFs) with open metal sites enrich the population of O2 in the pores significantly and assist the Li–O2 reaction when employed as a cell electrode material. A primary ...capacity of 9420 mA h g−1 is achieved in a cell with Mn‐MOF‐74; more than four times higher than the value obtained in a cell without an MOF.
Landslides are natural phenomena, causing serious fatalities and negative impacts on socioeconomic. The Three Gorges Reservoir (TGR) area of China is characterized by more prone to landslides for the ...rainfall and variation of reservoir level. Prediction of landslide displacement is favorable for the establishment of early geohazard warning system. Conventional machine learning methods as forecasting models often suffer gradient disappearance and explosion, or training is slow. Hence, a dynamic method for displacement prediction of the step-wise landslide is provided, which is based on gated recurrent unit (GRU) model with time series analysis. The establishment process of this method is interpreted and applied to Erdaohe landslide induced by multi-factors in TGR area: the accumulative displacements of landslide are obtained by the global positioning system; the measured accumulative displacements is decomposed into the trend and periodic displacements by moving average method; the predictive trend displacement is fitted by a cubic polynomial; and the periodic displacement is obtained by the GRU model training. And the support vector machine (SVM) model and GRU model are used as comparisons. It is verified that the proposed method can quite accurately predict the displacement of the landslide, which benefits for effective early geological hazards warning system. Moreover, the proposed method has higher prediction accuracy than the SVM model.
Hybrid supercapacitors generally show high power and long life spans but inferior energy densities, which are mainly caused by carbon negative electrodes with low specific capacitances. To improve ...the energy densities, the traditional methods include optimizing pore structures and modifying pseudocapacitive groups on the carbon materials. Here, another promising way is suggested, which has no adverse effects to the carbon materials, that is, constructing electron‐rich regions on the electrode surfaces for absorbing cations as much as possible. For this aim, a series of hierarchical porous carbon materials are produced by calcinating carbon dots–hydrogel composites, which have controllable surface states including electron‐rich regions. The optimal sample is employed as the negative electrode to fabricate hybrid supercapacitors, which show remarkable specific energy densities (up to 62.8–90.1 Wh kg−1) in different systems.
Robust carbon negative electrodes for hybrid supercapacitors are fabricated by a new promising method, that is, constructing electron‐rich regions on the electrode surfaces for absorbing cations as much as possible. Correspondingly, hierarchical porous carbon materials are produced by calcinating carbon dots–hydrogel composites, which have controllable surface states including electron‐rich regions.
The development of highly efficient and robust photocatalysts has attracted great attention for solving the global energy crisis and environmental problems. Herein, we describe the synthesis of a p–n ...heterostructured photocatalyst, consisting of ZnO nanorod arrays (NRAs) decorated with BiOI nanoplates (NPs), by a facile solvothermal method. The product thus obtained shows high photoelectrochemical water splitting performance and enhanced photoelectrocatalytic activity for pollutant degradation under visible light irradiation. The p‐type BiOI NPs, with a narrow band gap, not only act as a sensitizer to absorb visible light and promote electron transfer to the n‐type ZnO NRAs, but also increase the contact area with organic pollutants. Meanwhile, ZnO NRAs provide a fast electron‐transfer channel, thus resulting in efficient separation of photoinduced electron–hole pairs. Such a p–n heterojunction nanocomposite could serve as a novel and promising catalyst in energy and environmental applications.
Improved electron–hole separation: ZnO nanorod arrays have been decorated with BiOI nanoplates. The p–n heterojunction thus obtained plays a significant role in photoelectrocatalytic processes, where the BiOI nanoplates provide reaction sites for the degradation of organic pollutants, and the ZnO nanorods provide a fast transfer channel for electrons, which are ultimately transported to the counter electrode along an FTO substrate (see figure; FTO=fluorine‐doped tin oxide).
Establishing a soil liquefaction prediction model with high accuracy is a critical way to evaluate the quality of in situ and prevent the loss caused by seismic. In this paper, considering the ...advantage of cone penetration test (CPT) over standard penetration test (SPT) and the suitability for dealing with the nonlinear problems of the extreme learning machine (ELM), the ELM was tried to train the prediction model. Firstly, seven prediction parameters were analyzed and determined; then 226 CPT samples were divided into the training set and test set; then the parameter of ELM model was assured by comparing the training accuracy and speed of model when setting the number of the neuron of the hidden layer from 5 to 16 and the activation function as
sig
,
sin
,
hardlim
. Finally, the performance of the established ELM model was tested through the test set. The results showed the accuracy of using function
sin
was 81.43% and 87.50% for the training set and test set, respectively; at the same time, the operation was 1.5055 s which was not much different from other two functions. The prediction model based on CPT perform better than that of SPT and can obtain a highly accurate prediction of 100% for the liquefied case and overall accuracy of 87.5%. ELM was proved to be feasible to be used and developed into the in situ evaluation.
Long non-coding RNAs (lncRNAs) have played crucial roles in various cancers, including nasopharyngeal carcinoma (NPC). In our study, we focused on the biological function and clinical significance of ...lncRNA LINC00460 in NPC. It was indicated that LINC00460 was markedly increased in NPC tissues and cells compared to their corresponding controls. Silencing LINC00460 was able to suppress NPC cell growth in vitro while overexpressing LINC00460 reversed this process. Moreover, in vivo tumor xenografts were established using CNE-1/SUNE-1 cells to detect the function of LINC00460 in NSCLC tumorigenesis. Rescue assay was performed to further confirm that LINC00460 contributed to the progression of NPC through regulating miR-149-5p/IL6 signal pathway. In conclusion, we have uncovered that LINC00460 could be regarded as a novel prognostic biomarker and therapeutic target in NPC diagnosis and treatment.
•LINC00460 is up-regulated in human primary NPC tissues;•Expression of IL6 is up-regulated in primary human NPC and negatively expressed related to miR-149-5p;•miR-149-5p inhibits the tumorigenic potential of NPC cells by down-regulating oncogenic IL6 gene;•LINC00460's oncogenic functions are partially through reverse regulation of miR-149-5p, and then activation of IL6.
Background： Sacroiliac （SI） screw fixation is a demanding technique, with a high rate of screw malposition due to the complex pelvic anatomy. TiRobot- is an orthopedic surgery robot which can be used ...for SI screw fixation. This study aimed to evaluate the accuracy of robot-assisted placement of SI screws compared with a freehand technique. Methods：Thirty patients requiring posterior pelvic ring stabilization were randomized to receive freehand or robot-assisted SI screw fixation, between January 2016 and June 2016 at Beijing Jishuitan Hospital. Forty-five screws were placed at levels S1 and S2. In both methods, the primary end point screw position was assessed and classified using postoperative computed tomography. Fisher＇s exact probability test was used to analyze the screws＇positions. Secondary end points, such as duration of trajectory planning, surgical time after reduction of the pelvis, insertion time for guide wire, number of guide wire attempts, and radiation exposure without pelvic reduction, were also assessed. Results： Twenty-three screws were placed in the robot-assisted group and 22 screws in the freehand group; no postoperative complications or revisions were reported. The excellent and good rate of screw placement was 100% in the robot-assisted group and 95% in the freehand group. The P value （0.009） showed the same superiority in screw distribution. The fluoroscopy time after pelvic reduction in the robot-assisted group was significantly shorter than that in the freehand group （median Q1, Q3： 6.0 6.0, 9.0 s vs. median Q1, Q3： 36.0 21.5, 48.0 s; χ2 = 13.590, respectively, P 〈 0.001）; no difference in operation time after reduction of the pelvis was noted （χ2 = 1.990, P = 0.158）. Time for guide wire insertion was significantly shorter for the robot-assisted group than that for the freehand group （median Q1, Q3： 2.0 2.0, 2.7 min vs. median Q1, Q3： 19.0 15.5, 45.0 min; χ2 = 20.952, respectively, P 〈 0.001）. The number of guide wire attempts in the robot-assisted group was significantly less than that in the freehand group （median Q1, Q3： 1.0 1.0,1.0 time vs. median Q1, Q3： 7.0 1.0, 9.0 times; χ2 = 15.771, respectively, P 〈 0.001）. The instrumented SI levels did not differ between both groups （from S1 to S2, χ2 = 4.760, P = 0.093）. Conclusions： Accuracy of the robot-assisted technique was superior to that of the freehand technique. Robot-assisted navigation is safe for unstable posterior pelvic ring stabilization, especially in S1, but also in S2. SI screw insertion with robot-assisted navigation is clinically feasible.
Besides generating vision, light modulates various physiological functions, including mood. While light therapy applied in the daytime is known to have anti-depressive properties, excessive light ...exposure at night has been reportedly associated with depressive symptoms. The neural mechanisms underlying this day-night difference in the effects of light are unknown. Using a light-at-night (LAN) paradigm in mice, we showed that LAN induced depressive-like behaviors without disturbing the circadian rhythm. This effect was mediated by a neural pathway from retinal melanopsin-expressing ganglion cells to the dorsal perihabenular nucleus (dpHb) to the nucleus accumbens (NAc). Importantly, the dpHb was gated by the circadian rhythm, being more excitable at night than during the day. This indicates that the ipRGC→dpHb→NAc pathway preferentially conducts light signals at night, thereby mediating LAN-induced depressive-like behaviors. These findings may be relevant when considering the mental health effects of the prevalent nighttime illumination in the industrial world.
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