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The applicability of statistics-based landslide susceptibility assessment methods is affected by the number of historical landslides. Previous studies have proposed support vector machine (SVM) as a small-sample learning method. However, those studies demonstrated that different parameters can affect model performance. We optimized the SVM and obtained models as 5-fold cross validation (5-CV) SVM, genetic algorithm (GA) SVM, and particle swarm optimization (PSO) SVM. This study compared the prediction performances of logistic regression (LR), 5-CV SVM, GA SVM, and PSO SVM on landslide susceptibility mapping, to explore the spatial distribution of landslide susceptibility in the study area in Tibetan Plateau, China. A geospatial database was established based on 392 historical landslides and 392 non-landslides in the study area. We used 11 influencing factors of altitude, slope, aspect, curvature, lithology, normalized difference vegetation index (NDVI), distance to road, distance to river, distance to fault, peak ground acceleration (PGA), and rainfall to construct an influencing factor evaluation system. To evaluate the models, four susceptibility maps were compared via receiver operating characteristics (ROC) curve and the results showed that prediction rates for the models are 84% (LR), 87% (5-CV SVM), 85% (GA SVM), and 90% (PSO SVM). We also used precision, recall, F1-score and accuracy to assess the quality performance of these models. The results showed that the PSO SVM had greater potential for future implementation in the Tibetan Plateau area because of its superior performance in the landslide susceptibility assessment. [ABSTRACT FROM AUTHOR]

We present a novel adaptive host-chip modular architecture for video acquisition to optimize an overall objective task constrained under a given bit rate. The chip is a high resolution imaging sensor such as gigapixel focal plane array (FPA) with low computational power deployed on the field remotely, while the host is a server with high computational power. The communication channel data bandwidth between the chip and host is constrained to accommodate transfer of all captured data from the chip. The host performs objective task specific computations and also intelligently guides the chip to optimize (compress) the data sent to host. This proposed system is modular and highly versatile in terms of flexibility in re-orienting the objective task. In this work, object tracking is the objective task. While our architecture supports any form of compression/distortion, in this paper we use quadtree (QT)-segmented video frames. We use Viterbi (Dynamic Programming) algorithm to minimize the area normalized weighted rate-distortion allocation of resources. The host receives only these degraded frames for analysis. An object detector is used to detect objects, and a Kalman Filter based tracker is used to track those objects. Evaluation of system performance is done in terms of Multiple Object Tracking Accuracy (MOTA) metric. In this proposed novel architecture, performance gains in MOTA is obtained by twice training the object detector with different system generated distortions as a novel 2-step process. Additionally, object detector is assisted by tracker to upscore the region proposals in the detector to further improve the performance. [ABSTRACT FROM AUTHOR]

This study presents new detrital zircon laser ablation inductively coupled plasma mass spectrometry (LA‐ICP‐MS) U–Pb ages and in situ Hf–O isotopic data in order to constrain the depositional age and provenance of the Benxi Formation in the Sanmenxia area of the southern North China Craton (NCC). Detrital zircons in quartz sandstone drillcore from the Benxi Formation are euhedral–subhedral, oscillatory zoned, and have high Th/U ratios (0.03–1.60, generally greater than 0.3) that are indicative of a magmatic origin. Detrital zircons from samples 13H16A and 13H16B yield seven (2544, 1788, 1123, 955, 737, 441, and 344 Ma) and six main age populations (2440, 1583, 951, 759, 434, and 348 Ma), respectively. The εHf(t) values of the Neoarchean–Paleoproterozoic zircons range from −11.3 to +13.9, and these zircons have δ18O values that range from 5.68‰ to 8.83‰. The Neoproterozoic zircons have variable εHf(t) (−9.2 to +12.5) and δ18O (5.58‰ to 9.85‰) values, whereas the Palaeozoic zircons have εHf(t) values between −19.9 and +13.4 and δ18O values of 5.23‰–9.43‰. The Benxi Formation was deposited during the late Carboniferous and contains sediments derived from igneous rocks of the North Qinling Orogen combined with a small amount of material derived from Precambrian basement of the NCC. The northward subduction of the South Qinling Orogen caused the uplift and erosion of the North Qinling Orogen during the late Carboniferous. [ABSTRACT FROM AUTHOR]

Osimertinib, a new-generation inhibitor of the epidermal growth factor, has been used for the clinical treatment of advanced T790M mutation-positive tumors. In this research, an original analysis method was established for the quantification of osimertinib by ultra-performance liquid chromatography with time of flight mass spectrometry (UPLC-TOF-MS) in rat plasma. After protein precipitation with acetonitrile and sorafinib (internal standard, IS), they were chromatographed through a Waters XTerra MS C18 column. The mobile phase was acetonitrile and water (including 0.1% ammonia). The relative standard deviation (RSD) of the intra- and inter-day results ranged from 5.38 to 9.76% and from 6.02 to 9.46%, respectively, and the extraction recovery and matrix effects were calculated to range from 84.31 to 96.14% and from 91.46 to 97.18%, respectively. The results illustrated that the analysis method had sufficient specificity, accuracy and precision. Meanwhile, the UPLC-TOF-MS method for osimertinib was successfully applied into the pharmacokinetics of SD rats. [ABSTRACT FROM AUTHOR]