-
Article
Open AccessDeep evolutionary fusion neural network: a new prediction standard for infectious disease incidence rates
Previously, many methods have been used to predict the incidence trends of infectious diseases. There are numerous methods for predicting the incidence trends of infectious diseases, and they have exhibited va...
-
Article
Open AccessIdentification of associated risk factors for serological distribution of hepatitis B virus via machine learning models
The provincial-level sero-survey was launched to learn the updated seroprevalence of hepatitis B virus (HBV) infection in the general population aged 1–69 years in Chongqing and to assess the risk factors for ...
-
Article
Discovery of potential biomarkers for lung cancer classification based on human proteome microarrays using Stochastic Gradient Boosting approach
Early identification of lung cancer (LC) will considerably facilitate the intervention and prevention of LC. The human proteome micro-arrays approach can be used as a “liquid biopsy” to diagnose LC to compleme...
-
Article
Open AccessSpatio-temporal pattern, matching level and prediction of ageing and medical resources in China
Population ageing, as a hot issue in global development, increases the burden of medical resources in society. This study aims to assess the current spatiotemporal evolution and interaction between population ...
-
Article
Open AccessIntegrating Internet multisource big data to predict the occurrence and development of COVID-19 cryptic transmission
With the recent prevalence of COVID-19, cryptic transmission is worthy of attention and research. Early perception of the occurrence and development risk of cryptic transmission is an important part of control...
-
Article
Crustal Contaminations Responsible for the Petrogenesis of Basalts from the Emeishan Large Igneous Province, NW China: New Evidence from Ba Isotopes
Emeishan large igneous province (ELIP), one of the largest continental volcanic provinces worldwide (e. g., Karoo), is extensively distributed along the western margin of the Yangtze Block. Even though the con...
-
Chapter and Conference Paper
Automatic Modulation Classification Based on One-Dimensional Convolution Feature Fusion Network
Deep learning method has been gradually applied to Automatic Modulation Classification (AMC) because of its excellent performance. In this paper, a lightweight one-dimensional convolutional neural network modu...
-
Article
Large-Scale Bisample Learning on ID Versus Spot Face Recognition
In real-world face recognition applications, there is a tremendous amount of data with two images for each person. One is an ID photo for face enrollment, and the other is a probe photo captured on spot. Most ...
-
Chapter and Conference Paper
Short Text Representation Model Construction Method Based on Novel Semantic Aggregation Technology
The semantic representation model of short texts has insufficient semantic representation ability, and the semantic representation method of short text based on the combination of word embedding and semantic w...
-
Article
Efficient production of (R)-(−)-2-hydroxy-4-phenylbutyric acid by recombinant Pichia pastoris expressing engineered d-lactate dehydrogenase from Lactobacillus plantarum with a single-site mutation
(R)-2-hydroxy-4-phenylbutyric acid (R-HPBA) is a valuable intermediate for the synthesis of angiotensin-converting enzyme inhibitors. The asymmetric reduction of 2-oxo-4-phenylbutyric acid (OPBA) by oxidoreductas...
-
Article
Effects of antihypertensive drugs losartan and levamlodipine besylate on insulin resistance in patients with essential hypertension combined with isolated impaired fasting glucose
The objective of this study was to observe the antihypertensive effect of losartan and levamlodipine besylate on insulin resistance in patients with essential hypertension (EH) combined with isolated impaired ...
-
Article
Identification of novel thermostable taurine–pyruvate transaminase from Geobacillus thermodenitrificans for chiral amine synthesis
ω-Transaminases (ω-TAs) are one of the most popular candidate enzymes in the biosynthesis of chiral amines. Determination of yet unidentified ω-TAs is important to broaden their potential for synthetic applica...
-
Chapter and Conference Paper
Cross Dataset Person Re-identification
Until now, most existing researches on person re-identification aim at improving the recognition rate on single dataset setting. The training data and testing data of these methods are form the same source. Al...
-
Reference Work Entry In depth
Skin Spectroscopy
-
Reference Work Entry In depth
Face Recognition, Near-Infrared
-
Chapter and Conference Paper
Age Estimation by Multi-scale Convolutional Network
In the last five years, biologically inspired features (BIF) always held the state-of-the-art results for human age estimation from face images. Recently, researchers mainly put their focuses on the regression...
-
Article
Open AccessRisk Factors of Stroke in Western and Asian Countries: A Systematic Review and Meta-analysis of Prospective Cohort Studies
There has been an increasing trend in the incidence of stroke worldwide in recent years, and the number of studies focusing on the risk factors for stroke has also increased every year. To comprehensively eval...
-
Article
Open AccessNeuroimaging findings in a woman with brainstem paragonimiasis: a case report and review of the literature
The most serious erratic migration of paragonimiasis is a cerebral paragonimiasis. Infection in the temporal and occipital lobes of the brain has been previously reported in cerebral paragonimiasis. Here, we r...
-
Chapter
Face Anti-spoofing: Multi-spectral Approach
With the wide applications of face recognition, spoofing attack is becoming a big threat to their security. Conventional face recognition systems usually adopt behavioral challenge-response or texture analysis...
-
Chapter and Conference Paper
Salient Color Names for Person Re-identification
Color naming, which relates colors with color names, can help people with a semantic analysis of images in many computer vision applications. In this paper, we propose a novel salient color names based color d...
