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LIMITATIONS The 2015 SSLDR datasets were collected by means of investigation through a series of questionnaires. Errors may exist if the respondents did not honestly or fully report their household composition. And there is some complexity in some attempted analysis models that is not fully included in the imputation model. CONCLUSION Household composition has significant association with intergenerational mental health in the context of post-disaster recovery. Our results highlight the need to look for appropriate and targeted supporting mechanisms. OBJECTIVE To study the neuroimaging mechanisms of repetitive transcranial magnetic stimulation (rTMS) in treating major depressive disorder (MDD). METHODS Twenty-seven treatment-naive patients with major depressive disorder (MDD) and 27 controls were enrolled. All of them were scanned with resting-state functional magnetic resonance imaging (fMRI) at baseline, and 15 patients were rescanned after two-week rTMS. The amplitude of low frequency fluctuation (ALFF) and functional connection degree (FCD), based on voxels and 3 brain networks (default mode network [DMN], central executive network [CEN], salience network[SN]),were used as imaging indicators to analyze. The correlations of brain imaging changes after rTMS with clinical efficacy were calculated. RESULTS At baseline, patients groups showed increased ALFF in the right orbital frontal cortex (OFC) and decreased ALFF in the left striatal cortex and medial prefrontal cortex (PFC), while increased FCD in the right dorsal anterior cingulate cortex and OFC and decreased FCD in the right inferior parietal lobe and in the CEN. After rTMS, patients showed increased ALFF in the left dorsolateral prefrontal cortex (DLPFC)and superior frontal gyrus, FCD in the right dorsal anterior cingulate cortex, superior temporal gyrus and CEN, as well as decreased FCD in the bilateral lingual gyrus than pre-rTMS . These rTMS induced neuroimaging changes did not significantly correlated with clinical effecacy. CONCLUSIONS This study indicated that rTMS resulted in changes of ALFF and FCD in some brain regions and CEN. But we could not conclude this is the neuroimaging mechanism of rTMS according to the correlation analysis. V.BACKGROUND Ovarian hormones have been implicated as a potential source of variability in the effectiveness of exposure therapy for anxiety disorders in women. Additionally, preclinical studies in healthy women indicate that ovarian hormones are related to cognitive modes of emotion regulation, like cognitive restructuring. The purpose of the current study was to determine whether a relationship exists between endogenous ovarian hormones and the outcomes of cognitive restructuring in clinically anxious women. METHODS Ninety women with spider phobia received training in cognitive restructuring or a control task and provided a blood sample for the measurement of serum estradiol and progesterone levels. Behavioral avoidance, using a behavioral approach task with a live spider, and self-reported fear of spiders were measured at baseline and 1-week post-treatment. RESULTS The results indicated that heightened levels of progesterone, but not estradiol, at the time of cognitive restructuring predicted greater post-treatment reductions in behavioral avoidance, but not self-reported fear, amongst women who received cognitive restructuring but not those in the control group. LIMITATIONS As menstrual cycle phase was not assessed; the present study provides information regarding how the benefits of cognitive therapy are predicted by between-person individual differences in absolute hormone levels, but does not examine the relationship between within-person fluctuations in hormone levels and outcomes. CONCLUSIONS These results suggest the effectiveness of cognitive therapy for anxiety disorders in women may differ depending on endogenous levels of progesterone, and raise the possibility that progesterone could be a useful pharmacological adjunct to cognitive therapy. Bioluminescence resonance energy transfer (BRET) is a sensitive optical detection method that can monitor changes in the relative orientation and the physical proximity of molecules in real-time. Since the light is generated internally by a bioluminescent protein, BRET does not rely on an external light source. The use of BRET simultaneously simplifies the hardware required for sensing and offers improved detection limits and sensitivity for applications targeting point-of-care bio-sensing. In this paper, we report a compact micro reactor integrating a thermostat with a re-useable glass-chip comprising a chaotic mixer, an incubation channel and optical detection chamber. The device was optimised to detect thrombin activities in serum, achieving a thrombin detection limit of 38 μU/μl in 10% (v/v) human serum in a 5 min assay time. This is a 90% assay time reduction, compared with previous BRET-based work or other technologies. It matches sensitivity levels achieved when the assay is deployed on a commercially available plate-reader. ProtosappaninB The device can be used continuously with low concentrations (3.4 μM) of luciferase substrate. The low cost associated with this approach, low interference from human serum and other proteases and good reproducibility (CV = 0.2-3.6%), establish new performance standards for point-of-care diagnostics with samples of human serum. Importantly, measuring protease activity levels, rather than concentrations, is the most informative approach for clinical diagnostics. Of the recently reported ultra-sensitive thrombin sensing techniques, this is the only one to measure thrombin activity in serum dilutions, rather than simply quantifying thrombin concentrations. V.The sensitive and accurate detection of cancer biomarkers is critically important to early clinical diagnosis, disease monitoring, and successful cancer treatment. Here, we first demonstrate an aptamer-based frequency shift Raman approach via sensing of graphene. This biosensor allows the rapid, sensitive, and label-free detection of the acknowledged protein cancer biomarker, prostate-specific antigen (PSA). Monolayer graphene is employed as the Raman substrate, which is highly sensitive to its electronic structure and interface properties. The PSA aptamer can be adsorbed strongly on the surface of substrates through π-π stacking interactions. The vibrational frequency of the G peak of graphene shifted upon the specific binding between the PSA and its aptamer. The corresponding frequency shifts of the G peak are directly correlated with PSA concentrations. The limit of detection is as low as 0.01 ng/mL, with a wide linear range from 0.05 ng/mL to 25 ng/mL. The analytic samples can be detected directly without any extensive preparation and label process.
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