Abstract This paper develops a time‐varying parameter vector autoregressive model to examine the dynamic effects of crude oil prices and monetary policy on China's economy during January 1996 June 2017. The empirical results indicate that (a) in general, international price shocks have positive effect economic growth inflation short run, but long‐run appears diverse; (b) overall; specifically, an increase supply can partly offset prices' negative growth; (c) has plays important role...

Machine learning models have been widely used for landslide susceptibility assessment (LSA) in recent years. The large number of inputs or conditioning factors these models, however, can reduce the computation efficiency and increase difficulty collecting data. Feature selection is a good tool to address this problem by selecting most important features among all size input variables. However, two questions need be solved: (1) how do feature methods affect performance machine models? (2)...

Hypoxic-ischemic encephalopathy of prematurity (HIEP) is a leading cause acute mortality and chronic neurological injury in premature infants. This study investigates the molecular mechanisms by which magnetic fluorescent nanoparticles loaded with sodium butyrate (MNs@SB) repair HIEP modulating Sp1 TGF-β1 signaling pathways. Untargeted metabolomics analysis revealed significant suppression metabolism pathway intestinal tissues mice. We synthesized characterized MNs@SB nanoparticles, zeta...

Landslide susceptibility mapping (LSM) is a commonly used approach to reduce landslide risk. However, conventional LSM methods generally only consider the influence of each single conditioning factor on occurrence or absence, which neglects interactions different factors and may lead biased results. Therefore, this study aims use new machine learning model—attentional factorization machines (AFM)—to explicitly feature in improve obtain more reliable The Anhua County China chosen as area....

Three previously undescribed seco-dammarane triterpenoid glycosides O-Q (1-3) along with two known compounds (4 and 5) were isolated characterized from the leaves of Cyclocarya paliurus. Their structures determined by comprehensive analysis 1 D, 2 D NMR HRESIMS data. Compounds 1-5 evaluated for their inhibitory effects against human pancreatic tumor (ASPC-1), gastric carcinoma (SNU5), liver hepatocellular (HEPG-2) colon (HCT116) cell lines. Among them cyclocarioside P (2) showed somewhat...

Multi-person tracking and detection is widely used in human robot interaction, which has been a hot topic computer vision. In this paper, we utilize tracking-by-detection framework to track many persons at the same time. We use HOG LBP features describe person's characteristics scene train strong classifier using Adaboost algorithm. part, particle filter estimate targets' position. Besides, an on-line SVM improve accuracy of results by learning updating detector's results. The particles'...

In this paper, we present a conceptual design of novel gesture-based instruction/input device using wave detection. The recogonizes/detects gestures from person and based on which gives the specific orders/inputs to computing machine that is connected it. are modeled as shapes some impenetrable or penetrable scatterers certain admissible class, called dictionary. generates time-harmonic point signals for gesture recognition/detection. It then collects scattered in relatively small...

Under the influence of complex environmental conditions, spatial heterogeneity soil organic matter (SOM) is inevitable, and relationship between SOM visible near-infrared (VNIR) spectra has potential to be nonlinear. However, conventional VNIR-based methods for estimation cannot simultaneously consider nonlinear explanatory variables predictors relationship. Thus, regional application existing VNIR spectra-based limited. This study combines proposed partial least squares–based multivariate...

Machine learning (ML) methods have been applied extensively to simulate air pollutant concentrations and assess individual exposure in epidemiological studies. However, there is still a paucity of research on the temporal heterogeneity ML model performance impact dataset size. To explore when estimating daily fine particulate matter (PM2.5) across China 2021, we compared five decision tree-based models (Random Forest (RF), Categorical Boosting (CatBoost), Gradient Boost Regression Tree...

Prenylation increases the bioactivity of flavonoids. Herein, we report first examples regioselective enzymatic geranylation biflavonoids using Aspergillus terreus aromatic prenyltransferase (AtaPT). For 1-3 dimerized through a diphenyl linkage, occurs at hydrogen bond involving C5''-OH group, which is less chemically accessible than other OH groups in molecule. This study would be referential for developing green synthetic solutions prenylated biflavonoids.

We propose a multi-person tracking framework using only one single camera in this paper. utilize particle filter as the and train SVM classifier by reliable examples extracted from associated detections without occlusion. Based on results of data association, we integrate target's velocity into weights calculation to handle object occlusion assuming that fast-moving target is not likely change directions abruptly because inertia. In addition, design new association method whose affinity...

Capsule endoscopy (CE) has found its wide application in examination of the small intestine due to advantage reviewing this part that is unreachable for traditional endoscopy. However, a computer aided detection system needed since it costs an experienced physician much time go through all video data. As attempt overcome shortcoming, CE summary seems be feasible solution challenging problem. In paper, we study novel textural feature aiming summary. To possible illumination and camera motion...

Capsule endoscopy (CE) is a rather new imaging technique designed specially for small intestine that untouchable traditional such as gastroscope and colonoscopy. At present, reviewing whole CE video each patient an intensive task physicians. Hence, computerized methods desired to reduce the review time clinicians. In this paper, we utilize color textural features random forests ferns classify images. A novel uniform local binary pattern (CULBP) algorithm first proposed, which integrates norm...

As one of the hot issues in computer vision, multi-pedestrian tracking has received more and attention recently. In this paper, under tracking-by-detection framework, we propose a new feature learning method with lateral inhibition, combining traditional detection method, which is demonstrated to be effective. The part utilizes framework built upon particle filter, computation weight coordinately considers detector confidence, velocity other factors. addition, carry out procedure variation...

This paper examines the "Five Chiefs System" as a grassroots governance model in Chongqing, China, exploring innovative mechanisms urban from networked perspective. Through literature review, this study summarizes existing research on innovation governance, highlighting approaches technological process re-engineering, and structural research. Building theories of using Chongqing case study, reveals discrepancies between system its operational goals well principles co-governance practice....