Atomic force microscopy (AFM), as a sophisticated imaging tool with nanoscale resolution, is widely used in virus research and the application of functional viral particles. To investigate single viruses by AFM in a physiologically relevant environment (liquid), an appropriate surface treatment to properly adhere the viruses to the substrate is essential. Here we discuss hydrophobic treated glass coverslips as a suitable substrate for the adhesion of single adenovirus particle (Adenovirus type 5 F35, Ad5F35) when studied with AFM in liquid. From the high resolution AFM images, the orientation of the adhered virus particles can be distinguished. Furthermore, the particles exhibit the expected height of -90 nm. This illustrates that the viruses adhere to the substrate firmly without large deformations. Hence, the described method works well on (fragile) viruses. The described experimental approach can be widely used for AFM studies in liquid of virus structure and mechanics as well as for investigating the interaction of viruses with cellular receptors.
Adenoviridae ; chemistry ; Imaging, Three-Dimensional ; Microscopy, Atomic Force ; methods ; Virion ; chemistry

Drug-Related Side Effects and Adverse Reactions ; Emergency Service, Hospital ; Hospitals, General ; Humans ; Pharmaceutical Preparations ; Poisoning ; Retrospective Studies

Purpose：To further assess the role of androgen receptor gene CAG polymorphism in prostate cancer. Methods:DNA from 358 patients with prostate cancer were assayed for the number of CAG repeats. The length of CAG triplets and different clinical parameters were evaluated including age, PSA, stage, grade. Results:Only significant association between age at diagnosis and the length of CAG repeats was observed(P=0.007,γ=0.114).Conclusions:It was revealed from this study that the decreased number of AR gene CAG triplets was associated with the younger patient with prostate cancer at diagnosis.

Objective: To describe the characteristics of newly reported HIV/AIDS cases via non-marital or non-commercial heterosexual transmission and to find out the relative factors in Hangzhou, from 2015 to 2017. Methods: Data were collected through the national HIV/AIDS comprehensive control and prevention data system. Study subjects would include those reported HIV/AIDS cases who were residents of Hangzhou and were infected via non-marital heterosexual transmission, between January 1, 2015 and December 31, 2017. Demographic characteristics and behavioral information were collected. χ(2) test was used to compare different characteristics of the non-married heterosexual transmission subjects. Logistic regression was used to assess factors that associated with non-marital but non-commercial HIV heterosexual transmission with SPSS. 20 software used to analyze statistically. Results: Non-marital HIV heterosexual transmission accounted for 38.03% (1 393/3 663) of the total new reported HIV/AIDS cases in 2015-2017. Out of the 1 393 HIV/AIDS cases, those infected through non-marital but non-commercial heterosexual transmission accounted for 50.83% (708/1 393), and those through non-martial commercial transmission was accounted for 49.17% (685/1 393). Male to female ratio was 3.51 ∶ 1 (1 084/309). Male HIV cases reported that their major way of infection was via non-marital commercial transmission (670/1 084, 61.81%), while female patients reported the way was via non-marital non-commercial (294/309, 95.1%). Results from multivariate logistic analysis showed that the related risk factors and ORs for non-marital but non-commercial transmission appeared as: female (aOR=48.25, 95%CI: 26.94- 88.44),<30 year olds (aOR=2.43, 95%CI: 1.31-4.51), 30-39 year olds (aOR=1.92, 95%CI: 1.11- 3.33), 40-49 year olds (aOR=1.80, 95%CI: 1.08-3.00), married or unmarried (vs. divorced or widowed, aOR=1.57, 95%CI: 1.10-2.24; aOR=1.78, 95%CI: 1.15-2.78), high school and above of education level (vs. primary school and under of education level, aOR=1.82, 95%CI: 1.18-2.80), administrative officers or employee (vs. farmers, aOR=2.03, 95%CI: 1.04-1.91). Number of non- marital partners less than 5 (vs. number of non-marital partners more than 5, aOR=10.65, 95%CI: 6.41-17.42). Conclusions: HIV/AIDS cases with non-marital heterosexual transmission accounted for considerable proportion regarding the HIV transmission in Hangzhou from 2015 to 2017. Differences were found in the following factors as non-marital and non-commercial heterosexual transmission with diverse gender, age, marital status, educational level and occupation among of the HIV/AIDS patients.
Female ; HIV ; HIV Infections/transmission* ; Heterosexuality ; Humans ; Male ; Risk Factors ; Sexual Behavior/psychology* ; Sexual Partners ; Single Person

Humans ; Diverticulum, Colon ; Fecal Impaction ; Hydrodynamics

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.