Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques

In this study, an electronic nose (E-nose) consisting of seven metal oxide semiconductor sensors is developed to identify milk sources (dairy farms) and to estimate the content of milk fat and protein which are the indicators of milk quality. The developed E-nose is a low cost and non-destructive device. For milk source identification, the features based on milk odor features from E-nose, composition features (Dairy Herd Improvement, DHI analytical data) from DHI analysis and fusion features are analyzed by principal component analysis (PCA) and linear discriminant analysis (LDA) for dimension reduction and then three machine learning algorithms, logistic regression (LR), support vector machine (SVM), and random forest (RF), are used to construct the classification model of milk source (dairy farm) identification. The results show that the SVM model based on the fusion features after LDA has the best performance with the accuracy of 95%. Estimation model of the content of milk fat and protein from E-nose features using gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), and random forest (RF) are constructed. The results show that the RF models give the best performance (R2 = 0.9399 for milk fat; R2 = 0.9301 for milk protein) and indicate that the proposed method in this study can improve the estimation accuracy of milk fat and protein, which provides a technical basis for predicting the quality of milk

Higher-Order Circularity based I/Q Imbalance Compensation in Direct-Conversion Receivers

In-phase and quadrature-phase (I/Q) imbalance is a critical issue limit the achievable operating signal-to-noise ratio (SNR) at the receiver in direct conversion architecture. In recent literatures, the second-and fourth-order circularity property of communication signals have been used for designing compensator to eliminate the I/Q imbalance. In this paper, we investigate whether moment circularity of an order higher than four can be used in receiver I/Q imbalance compensation. It is shown that the sixth-order moment E[z4z*2] is a suitable statistic for measuring the sixth-order circularity of representative communication signals such as M-QAM and M-PSK with M > 2. Two blind algorithms are then proposed to update the coefficients of I/Q imbalance compensator by restoring the sixth-order circularity of the compensator output signal. Simulation results show that the new proposed methods based on sixth-order statistic converges faster or gives lower steady-state variance than the reference methods that are based on second-and fourth-order statistics

Enhanced water desalination performance through hierarchically-structured ceramic membranes

Developments of membrane water desalination are impeded by low water vapor flux across the membrane. We present an innovative membrane design to significantly enhance the water vapor flux. A bilayer zirconia-based membrane with a thick hierarchically-structured support and a thin functional layer is prepared using a combined freeze drying tape casting and screen printing method. The hierarchically-structured YSZ support has a porosity of 42.6%, pores of 4.5 μm or larger, and a relatively low tortuosity of 1.58 along the thickness direction. The bilayer membrane is then converted from naturally hydrophilic to hydrophobic via grafting with a fluoroalkylsilane. A water flux of 28.7 Lm−2 h−1 and a salt rejection of 99.5% are achieved by exposing the functional layer to 80 °C salt water of 2 wt.% NaCl and the support layer to 20 °C distilled water. These results are the best performing ones for ceramic membranes in direct contact membrane distillation operation

Functional analysis of the Frzb2 gene in Schistosoma japonicum

International audienceAbstractSchistosomiasis is a globally important helminthic disease of humans and animals, and it is the second most common parasitic disease after malaria. Eggs produced by mature females are responsible for the disease’s occurrence and spread. Frzb2, a secreted frizzled-related protein, can inhibit Wnt signalling by competitive binding to the specific frizzled protein receptor. In this study, the complete gene sequence of SjFrzb2 was obtained by using 3′-rapid amplification of cDNA ends technology. SjFrzb2 transcript levels at different stages of S. japonicum maturation were evaluated by quantitative real-time RT-PCR analysis. SjFrzb2 was expressed at all developmental stages examined and exhibited the highest transcription level in 7-day-old worms, then gradually decreased during the growth and developmental stages to reach the lowest level at 18 days post-infection. SjFrzb2 gene expression was higher in female worms than in male worms and was significantly higher in female worms from a single-sex infection than in female worms from a bisexual infection. The functions of SjFrzb2 were explored via a small interfering RNA-based gene silencing approach and the soaking method. The results showed that SjFrzb2 gene knockdown impaired the growth and development of S. japonicum in mice, affecting not only the survival and morphological structure of the worms but also their reproductive ability and the viability of the produced eggs. Collectively, these observations imply that Frzb2 may be a novel target for the development of immuno- and/or small molecule-based therapeutics to control schistosomiasis fecundity and transmission

Relationship between Triglyceride-glucose Index and Risk of Cardiovascular Diseases in Middle-aged Obese Residents of Different Genders

Background Triglyceride-glucose (TyG) index is an index to evaluate insulin resistance (IR) and obesity-related metabolic diseases, which is closely related to the high risk of cardiovascular disease (CVD). However, TyG index may be different from the high risk of CVD in middle-aged obese people of different genders. Objective To investigate the relationship between TyG index and the high risk of CVD in middle-aged obese people of different genders, and to evaluate its role in the prevention and treatment of CVD. Methods A total of 30 425 middle-aged obese residents were selected from 10 early screening and comprehensive intervention projects of high-risk CVD population in Anhui Province and investigated by investigators who were trained and qualified, using the preliminary screening questionnaire and basic information registration form designed by the National Cardiovascular Center. The main survey contents included gender, age, hypertension, dyslipidemia, diabetes, smoking and alcohol consumption, etc, and perform a CVD high-risk assessment. The included residents were divided into the male group (n=11 566) and female group (n=18 859). The male group was divided into T1 (7.417-8.870) (n=2 892), T2 (8.871-9.204) (n=2 891), T3 (9.205-9.578) (n=2 892) and T4 (9.579-11.435) (n=2 891) subgroups, the female group was divided into F1 (7.579-8.876) (n=4 715), F2 (8.877-9.183) (n=4 720), F3 (9.184-9.526) (n=4 710) and F4 (9.527-11.647) (n=4 714) subgroups according to the quartiles of TyG index. Binary Logistic regression analysis was used to explore the relationship between TyG index and the high risk of CVD, and Z-test was used to compare the differences in effect values among subgroups. Results The high risk rate of CVD was 28.4% (3 280/11 566) in the male group and 26.0% (4 909/18 859) in the female group. Binary Logistic regression analysis showed that TyG index T2 (F2), T3 (F3), T4 (F4) in male group (female group) were correlated with the high risk of CVD (P<0.05), and the correlation with the high risk of CVD increased with the gradual increase of TyG index. In the male group, the risk of developing high risk of CVD in the T4 subgroup compared to T1 was OR (95%CI) =1.827 (1.622, 2.058) ; In the female group, the risk of developing high risk of CVD in the F4 subgroup compared to F1 was OR (95%CI) =1.552 (1.410, 1.708). There were significant differences in the TyG index and risk of developing high risk of CVD between the T4 and F4 subgroups in both male and female groups (P<0.05). After further adjustment for total cholesterol and other indicators (model 2), the correlation between T2 (F2), T3 (F3), T4 (F4) and the risk of developing high risk of CVD was attenuated. However, in both male and female groups, T2 (F2), T3 (F3) and T4 (F4) were all correlated with the high risk of CVD (P<0.05), and the correlation increased with the gradual increase of TyG index level. In the male group, the risk of developing high risk of CVD in the T4 subgroup compared to T1 subgroup was OR (95%CI) =1.804 (1.584, 2.055), in the female group, the risk of developing high risk of CVD in the F4 subgroup compared to F1 subgroup was OR (95%CI) =1.496 (1.345, 1.665) ; There were significant differences in the risk of developing high risk of CVD between the T4 and F4 subgroup in both male and female groups (P<0.05) . Conclusion Middle-aged obese men with high TyG index are more prone to develop high risk for CVD, and more attention should be paid to the TyG index level of the population

Association between ACYP2

Abstract Background Kidney cancer is the predominant form of malignancy of the kidney and accounts for approximately 3%–4% of all cancers. Renal cell cancer (RCC) represents more than 85% of kidney cancer. It has been reported that genetic factors may predispose individuals to RCC. This study evaluated the association between Acylphosphatase 2 (ACYP2) gene polymorphisms and RCC risk in the Han Chinese population. Methods Twelve single‐nucleotide polymorphisms (SNPs) in ACYP2 were genotyped using the Agena MassARRAY platform from 293 RCC patients and 495 controls. The Chi‐squared test, genetic models, haplotype, and stratification analyses were used to evaluate the association between SNPs and the risk of RCC. The relative risk was estimated using the odds ratio (OR) and 95% confidence interval (CI). Results We observed that the rs6713088 allele G (OR = 1.26, 95% CI: 1.03–1.53, p = .023) and rs843711 allele T (OR = 1.29, 95% CI: 1.06–1.57, p = .010) were associated with increased RCC risk. Genetic model analyses found that rs843711 was significantly associated with an increased RCC risk under the recessive model and log‐additive model after adjusting for age and gender. Haplotype analysis showed that the haplotype “TTCTCGCC” (OR = 0.67, 95% CI: 0.48–0.94, p = .021) was associated with a decreased risk of RCC in the Han Chinese population. Stratification analysis also found that rs6713088 and rs843711 were significantly associated with increased RCC risk. Conclusion In summary, the results suggested that ACYP2 polymorphisms could be used as a genetic marker for RCC. Additional functional and association studies are required to validate our results

HIV-1 Tat-Mediated Apoptosis in Human Blood-Retinal Barrier-Associated Cells

<div><p>HIV-1-associated ocular complications, such as microvasculopathies, can lead to the loss of vision in HIV-1-infected patients. Even in patients under highly active antiretroviral therapy, ocular lesions are unavoidable. Ocular complications have been demonstrated to be closely related to the breakdown of the blood-retinal-barrier (BRB); however, the underlying mechanism is not clear. The data from this study indicated that the HIV-1 Tat protein induced the apoptosis of human retinal microvascular endothelial cells (HRMECs) and retinal pigmen epithelium (RPE) cells, which compose the inner BRB and the outer BRB, respectively. In addition, this study found that the activation of N-methyl-D-aspartate receptors (NMDARs) was involved in the apoptosis of RPE cells, but it caused no changes in HRMECs. Furthermore, both cell types exhibited enhanced expression of Bak, Bax and Cytochrome c. The inhibition of Tat activity protected against the apoptosis induced by NMDAR activation and prevented the dysregulation of Bak, Bax and Cytochrome c, revealing an important role for the mitochondrial pathway in HIV-1 Tat-induced apoptosis. Together, these findings suggest a possible mechanism and may identify a potential therapeutic strategy for HIV-1-associated ocular complications.</p></div