Adversarial Training With Anti-Adversaries.

Adversarial training is effective in improving the robustness of deep neural networks. However, existing studies still exhibit significant drawbacks in terms of the robustness, generalization, and fairness of models. In this study, we validate the importance of different perturbation directions (i.

Multi-Label Adversarial Attack With New Measures and Self-Paced Constraint Weighting.

An adversarial attack is typically implemented by solving a constrained optimization problem. In top-k adversarial attacks implementation for multi-label learning, the attack failure degree (AFD) and attack cost (AC) of a possible attack are major concerns. According to our experimental and theoretical analysis, existing methods are negatively impacted by the coarse measures for AFD/AC and the indiscriminate treatment for all constraints, particularly when there is no ideal solution.

Reevaluating Adiponectin's impact on obesity hypertension: a Chinese case-control study.

Background: Obesity and hypertension are major risk factors for cardiovascular diseases that affect millions of people worldwide. Both conditions are associated with chronic low-grade inflammation, which is mediated by adipokines such as adiponectin. Adiponectin is the most abundant adipokine that has a beneficial impact on metabolic and vascular biology, while high serum concentrations are associated with some syndromes.

Causal effect of interleukin (IL)-6 on blood pressure and hypertension: A mendelian randomization study.

To examine whether circulating interleukin-6 (IL-6) levels (CirIL6) have a causal effect on blood pressure using Mendelian randomization (MR) methods. We used data from genome-wide association studies (GWAS) of European ancestry to obtain genetic instruments for circulating IL-6 levels and blood pressure measurements. We applied several robust MR methods to estimate the causal effects and to test for heterogeneity and pleiotropy.

Which Samples Should Be Learned First: Easy or Hard?

Treating each training sample unequally is prevalent in many machine-learning tasks. Numerous weighting schemes have been proposed. Some schemes take the easy-first mode, whereas others take the hard-first one.

Colorable role of interleukin (IL)-6 in obesity hypertension: A hint from a Chinese adult case-control study.

Background: Obesity and hypertension are major risk factors for cardiovascular diseases that affect millions of people worldwide. Both conditions are associated with chronic low-grade inflammation, which is mediated by cytokines such as interleukin-6 (IL-6). IL-6 is a multifunctional cytokine that can have pro-inflammatory or anti-inflammatory effects depending on the context.

Class-Level Logit Perturbation.

Features, logits, and labels are the three primary data when a sample passes through a deep neural network (DNN). Feature perturbation and label perturbation receive increasing attention in recent years. They have been proven to be useful in various deep learning approaches.

Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables.

Background: According to the validation literature on items of Young's Internet Addiction Test (IAT), this study rephrased disputable items to improve the psychometric properties of this Chinese version of IAT and identify the presence of differential item function (DIF) among demographic and Internet use factors; detect the effect of demographic and Internet use factors on IAT after adjusting for DIF.

Methods: An online questionnaire was distributed to college students in Zhe Jiang province in two stage. The 1st phase study collected 384 valid responses to examine the quality of IAT items by using Rasch Model analysis and exploring factor analysis (EFA).

Controversial culprit of leptin in obesity hypertension: clues from a case-control study with Chinese newly diagnosed adult early-onset obesity hypertensives.

Objective: To explore the role of leptin in the onset and development of obesity-associated hypertension.

Subjects And Methods: A case-control study that had finished recruiting 153 subjects divided as four characteristic groups. Leptin serum levels were tested by ELISA in these subjects among these four characteristic Chinese adult physical examination groups.

The value of adiponectin-resistin (AR) index in newly diagnosed obesity hypertension: a case control study among Chinese adult.

Objective: To explore the role of adiponectin-resistin (AR) index as a better indicator of obesity-related hypertension.

Method(s): This study continued a case control study that had finished recruiting 153 subjects divided as four characteristic groups. Fasting serum resistin levels (FSR) and Fasting serum adiponectin levels (FSA) were tested by ELISA.

targeting of lentiviral vectors pseudotyped with the Tupaia paramyxovirus H glycoprotein bearing a cell-specific ligand.

Despite their exceptional capacity for transgene delivery , lentiviral (LV) vectors have been slow to demonstrate clinical utility in the context of applications. Unresolved safety concerns related to broad LV vector tropism have limited LV vectors to applications. Here, we report on a novel LV vector-pseudotyping strategy involving envelope glycoproteins of Tupaia paramyxovirus (TPMV) engineered to specifically target human cell-surface receptors.

The paradox of the role of resistin in early-onset obesity hypertension: A comparative study among four Chinese adult subgroups.

To explore the role of resistin in the onset and development of obesity-related hypertension. Resistin serum levels were tested by ELISA in 153 adult subjects among four characteristic Chinese adult physical examination groups. Waist circumference (WC), body mass index (BMI), systolic blood pressure (SB), diastolic blood pressure (DB), and other clinical laboratory data were collected.

Two-Level LSTM for Sentiment Analysis With Lexicon Embedding and Polar Flipping.

Sentiment analysis is a key component in various text mining applications. Numerous sentiment classification techniques, including conventional and deep-learning-based methods, have been proposed in the literature. In most existing methods, a high-quality training set is assumed to be given.

The expression of macrophage migration inhibitory factor in the non-small cell lung cancer.

Objective: The objective was to investigate the expression of macrophage migration inhibitory factor (MIF) in non-small cell lung cancer (NSCLC), as well as the effects of macrophage MIF on tumor cells.

Methods: The human NSCLC cell strains H358 and H524 were selected as research objects. The Real-Time Polymerase Chain Reaction (RT-PCR) and Western Blot were utilized to detect the expression levels of MIF in human NSCLC cell strains.

A comparative research on obesity hypertension by the comparisons and associations between waist circumference, body mass index with systolic and diastolic blood pressure, and the clinical laboratory data between four special Chinese adult groups.

Background: The obesity-hypertension pathogenesis is complex. From the phenotype to molecular mechanism, there is a long way to clarify the mechanism. To explore the association between obesity and hypertension, we correlate the phenotypes such as the waist circumference (WC), body mass index (BMI), systolic blood pressure (SB), and diastolic blood pressure (DB) with the clinical laboratory data between four specific Chinese adult physical examination groups (newly diagnosed untreated just-obesity group, newly diagnosed untreated obesity-hypertension group, newly diagnosed untreated just-hypertension group, and normal healthy group), and the results may show something.

Learning With Auxiliary Less-Noisy Labels.

Obtaining a sufficient number of accurate labels to form a training set for learning a classifier can be difficult due to the limited access to reliable label resources. Instead, in real-world applications, less-accurate labels, such as labels from nonexpert labelers, are often used. However, learning with less-accurate labels can lead to serious performance deterioration because of the high noise rate.

Prevalence and Determinants of Metabolic Health in Subjects with Obesity in Chinese Population.

Background: The study was to investigate the prevalence of metabolic health in subjects with obesity in the Chinese population and to identify the determinants related to metabolic abnormality in obese individuals.

Methods: 5013 subjects were recruited from seven provincial capitals in China. The obesity and metabolic status were classified based on body mass index (BMI) and the number of abnormalities in common components of metabolic syndrome.

Associations of genetic variations in EYA4, GRHL2 and DFNA5 with noise-induced hearing loss in Chinese population: a case- control study.

Background: Both environmental and genetic factors are attributable to the incidence of noise-induced hearing loss (NIHL). The purpose of this study was to examine the associations between genetic variations in the EYA4, GRHL2 and DFNA5 genes and the risk to noise-induced hearing loss (NIHL) in a Chinese population.

Methods: A case-control study was conducted with 476 NIHL workers and 475 normal hearing workers matched with gender, years of noise exposure, and intensity of noise exposure.

Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme emotions. In this paper, we present a novel context-aware multi-instance learning (CMIL) algorithm for horror image recognition.

Analysis on minimally invasive diagnosis and treatment of 49 cases with solitary nodular ground-glass opacity.

Objective: This study is designed to investigate the treatment approach and prognosis of pulmonary ground-glass-like shadow, especially solitary nodular ground-glass opacity (SNGGO).

Methods: Forty-nine cases of SNGGO that persisted after anti-inflammatory treatment in our hospital were retrospectively studied. These patients received thoracoscopic surgery due to indefinitive diagnosis and a tendency of canceration (some cases were followed up for 1-24 months before surgery).

Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection.

Current network intrusion detection systems lack adaptability to the frequently changing network environments. Furthermore, intrusion detection in the new distributed architectures is now a major requirement. In this paper, we propose two online Adaboost-based intrusion detection algorithms.

Acquired substrate preference for GAB1 protein bestows transforming activity to ERBB2 kinase lung cancer mutants.

Activating mutations in the αC-β4 loop of the ERBB2 kinase domain, such as ERBB2(YVMA) and ERBB2(G776VC), have been identified in human lung cancers and found to drive tumor formation. Here we observe that the docking protein GAB1 is hyper-phosphorylated in carcinomas from transgenic mice and in cell lines expressing these ERBB2 cancer mutants. Using dominant negative GAB1 mutants lacking canonical tyrosine residues for SHP2 and PI3K interactions or lentiviral shRNA that targets GAB1, we demonstrate that GAB1 phosphorylation is required for ERBB2 mutant-induced cell signaling, cell transformation, and tumorigenesis.

Specific targeting of human interleukin (IL)-13 receptor α2-positive cells with lentiviral vectors displaying IL-13.

The ability to selectively and efficiently target transgene delivery to specific cell types in vitro and in vivo remains one of the formidable challenges in gene therapy. Lentiviral vectors have several advantages that make them attractive as gene delivery vehicles and their tropism can be altered through pseudotyping, allowing transgene delivery to specific populations of cells. The human interleukin-13 receptor α2 (IL-13Rα2) is uniquely overexpressed in many different human tumors, making it an attractive target for cancer therapy.