Speech-based recognition and estimating severity of PTSD using machine learning.

BACKGROUND: Traditional methodologies for diagnosing post-traumatic stress disorder (PTSD) primarily rely on interviews, incurring considerable costs and lacking objective indices. Integrating biomarkers and machine learning techniques into this diagnostic process has the potential to facilitate accurate PTSD assessment by clinicians. METHODS: We assembled a dataset encompassing recordings from 76 individuals diagnosed with PTSD and 60 healthy controls. Leveraging the openSmile framework, we extracted acoustic features from these recordings and employed a random forest algorithm for feature selection. Subsequently, these selected features were utilized as inputs for six distinct classification models and a regression model. RESULTS: Classification models employing a feature set of 18 elements yielded robust binary prediction outcomes for PTSD. Notably, the RF model achieved peak accuracy at 0.975 with the highest AUC of 1.0. In terms of the regression model, it exhibited significant predictive capability for PCL-5 scores (MSE = 0.90, MAE = 0.76, R2 = 0.10, p < 0.001). Noteworthy was the correlation coefficient of 0.33 (p < 0.05) between predicted and actual values. LIMITATIONS: Firstly, the process of feature selection may compromise the stability of models, which leads to potentially overestimating results. Secondly, it is hard to elucidate the nature of biological mechanisms behind between PTSD patients and healthy individuals. Lastly, the regression model has a limited prediction for PTSD. CONCLUSIONS: Distinct speech patterns differentiate PTSD patients and controls. Classification models accurately discern both groups. Regression model gauges PTSD severity, but further validation on larger datasets is needed.

Analysis of Factors Influencing Bone Metastasis in Prostate Cancer and Diagnostic Value of Serum PSA, CysC and D-D.

OBJECTIVE: This study aims to analyse factors influencing bone metastasis in prostate cancer and the diagnostic value of serum prostate-specific antigen (PSA), and D-dimer (D-D) combined with cystatin C (CysC) in bone metastasis of prostate cancer. METHODS: Data of 116 patients with prostate cancer admitted to our hospital were retrospectively analysed. They were divided into two groups: Bone metastasis group (46 cases) and non-bone metastasis group (70 cases). Univariate and multivariate logistic regression analyses were used to determine factors influencing bone metastasis in prostate cancer. The values of serum PSA, D-D and CysC were identified using a receiver operating characteristic diagnostic curve. RESULTS: Of the 116 patients, 46 had bone metastases and 70 had non-bone metastases. Among 46 patients with bone metastasis, 8 cases (17.39%) had single bone metastasis and 38 cases (82.61%) had multiple bone metastasis. Based on the univariate analysis, bone metastasis was associated with increases in Gleason score, clinical stage, lymph node metastasis, systemic inflammatory response index, fibrinogen to albumin ratio and alkaline phosphatase and fibrinogen levels. The Gleason score was higher than 8 points, the clinical stages ranged from T3 to T4 and the serum levels of PSA, D-D and CysC were higher in the bone metastasis group (p < 0.05). The combined value of serum PSA, D-D and CysC in the diagnosis of bone metastasis in prostate cancer was higher than the three indicators alone. CONCLUSIONS: Lymph node metastasis in T3-T4 clinical stages with Gleason score >8 was a risk factor for bone metastasis in prostate cancer (all p < 0.05). The risk of bone metastasis in patients with prostate cancer increases with increasing Gleason clinical stage and the occurrence of lymph node metastasis. Serum PSA, D-D and CysC have certain diagnostic value in the diagnosis of bone metastasis, and their combination has the highest value.

Interplay among attention, appraisal, and memory bias in provisional posttraumatic stress disorder: Exploring the combined cognitive biases hypothesis.

OBJECTIVE: Both theoretical and empirical studies suggest that negative cognitive biases significantly influence the onset and persistence of posttraumatic stress disorder (PTSD) symptoms. However, the interplay among these cognitive biases and their conjoint contribution to the long-term trajectory of posttraumatic stress symptoms remains underexplored. This study delves into the interplay among attention, appraisal, and memory biases within a provisional PTSD population and evaluates the predictive effects of two integrative models (weakest link, additive approach) on posttraumatic stress symptoms reported 2 months later. METHOD: Sixty Chinese participants (Mage = 20.17, SDage = 2.11) with provisional PTSD undertook the scrambled sentences test (appraisal bias) with their eye movements recorded (attention bias) and then the free recall task (memory bias). Posttraumatic stress symptom was assessed at baseline and 2-month follow-up. RESULTS: Selective attention bias toward negative words was positively associated with the negative appraisal of scrambled sentences, which subsequently showed a strong association with negative memory bias. Regarding the progression of posttraumatic stress symptoms, the additive approach was found to be a more reliable predictor of self-reported posttraumatic stress symptoms at 2 months than the weak link approach. CONCLUSIONS: This study provides initial evidence supporting the combined cognitive biases hypothesis in provisional PTSD. It also underscores potential avenues to enhance cognitive bias modification techniques. Replication of these findings in broader clinical samples is essential. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Analysis of Factors Influencing Bone Metastasis in Prostate Cancer and Diagnostic Value of Serum PSA, CysC and D-D

Objective: This study aims to analyse factors influencing bone metastasis in prostate cancer and the diagnostic value of serum prostate-specific antigen (PSA), and D-dimer (D-D) combined with cystatin C (CysC) in bone metastasis of prostate cancer. Methods: Data of 116 patients with prostate cancer admitted to our hospital were retrospectively analysed. They were divided into two groups: Bone metastasis group (46 cases) and non-bone metastasis group (70 cases). Univariate and multivariate logistic regression analyses were used to determine factors influencing bone metastasis in prostate cancer. The values of serum PSA, D-D and CysC were identified using a receiver operating characteristic diagnostic curve. Results: Of the 116 patients, 46 had bone metastases and 70 had non-bone metastases. Among 46 patients with bone metastasis, 8 cases (17.39%) had single bone metastasis and 38 cases (82.61%) had multiple bone metastasis. Based on the univariate analysis, bone metastasis was associated with increases in Gleason score, clinical stage, lymph node metastasis, systemic inflammatory response index, fibrinogen to albumin ratio and alkaline phosphatase and fibrinogen levels. The Gleason score was higher than 8 points, the clinical stages ranged from T3 to T4 and the serum levels of PSA, D-D and CysC were higher in the bone metastasis group (p < 0.05). The combined value of serum PSA, D-D and CysC in the diagnosis of bone metastasis in prostate cancer was higher than the three indicators alone. Conclusions: Lymph node metastasis in T3–T4 clinical stages with Gleason score >8 was a risk factor for bone metastasis in prostate cancer (all p < 0.05). The risk of bone metastasis in patients with prostate cancer increases with increasing Gleason clinical stage and the occurrence of lymph node metastasis. Serum PSA, D-D and CysC have certain diagnostic value in the diagnosis of bone metastasis, and their combination has the highest value (AU)

Efficacy and acceptability of mobile application-delivered acceptance and commitment therapy for posttraumatic stress disorder in China: A randomized controlled trial.

Due to the COVID-19 pandemic and its extensive effects, the incidence of posttraumatic stress disorder (PTSD) symptoms is rapidly increasing in China. This research aimed to assess the efficacy and acceptability of a mobile application delivering Acceptance and Commitment Therapy (ACT) in reducing PTSD symptoms. 221 Chinese individuals with elevated PTSD symptoms were randomly assigned to app-delivered ACT (ACT condition), app-delivered mindfulness (MI condition), or a waitlist (WL condition). Assessments were performed pre- and post-intervention. The results showed that participants in both the ACT and MI groups had significantly greater improvements across mental health outcomes compared to the WL group. No significant differences were observed between the ACT and MI groups except for psychological flexibility, which improved more in ACT than MI (d = -0.37). Compared to WL, the ACT group showed a greater improvement in PTSD symptoms (d = -0.79), anxiety (d = -0.62), depression (d = -0.51), posttraumatic growth (d = 0.46), and psychological flexibility (d = 0.76). The drop-out rates in the ACT and MI were 25.76% and 39.71%, respectively. Participants in the ACT condition reported medium program satisfaction. The study suggests app-delivered ACT is efficacious in reducing PTSD symptoms and improving overall mental health among Chinese adults.

How does the opening of China's high-speed rail affect the spatial mismatch of haze pollution and economic growth?

A better reconciliation of haze pollution and economic growth has become the social consensus in China. The development of China's economy and air quality will be significantly impacted by its efforts to create high-speed rail (HSR). Based on panel data from 265 prefecture-level cities in China from 2003 to 2019, this paper investigates how the opening of HSR affects the spatial mismatch of haze pollution and economic growth by using the spatial mismatch index model, multi-period difference-in-differences (DID) model, and intermediary effect model. We find that the spatial mismatch in China has an overall decreasing trend. And its spatial agglomeration is dominated by low levels. Further empirical analysis shows that HSR opening can effectively restrain the spatial mismatch. Even after some robustness tests and endogenous treatment, the conclusion is still valid. In addition, population density, FDI, and industrial structure are also explicit factors affecting the spatial mismatch. Second, there is significant heterogeneity in the impact. This is reflected in the fact that HSR opening can suppress the spatial mismatch of service-oriented cities and the eastern region, while other cities and regions have no noticeable effect. Third, spatial transfer of haze pollution (STHP) and balanced development of economic growth (BEG) are two important conduction paths for the opening of HSR to affect the spatial mismatch. Specifically, HSR opening can constrain the spatial mismatch by inhibiting STHP and BEG. Based on the above findings, recommendations related to promoting a better harmony between haze pollution and economic growth are proposed.

Does dexmedetomidine reduce the risk of acute kidney injury after cardiac surgery? A meta-analysis of randomized controlled trials.

BACKGROUND: Acute Kidney Injury (AKI) is a common complication after cardiac surgery and has been associated with poor outcomes. Dexmedetomidine (DEX) has been shown to confer direct renoprotection based on some animal and clinical studies, but data from other trials came to the opposite conclusion following cardiac surgery. This meta-analysis was conducted to evaluate the effects of perioperative DEX administration on the occurrence of AKI and the outcomes after cardiac surgery. METHODS: We searched databases including EMBASE, PubMed, and Cochrane CENTRAL for Randomized Controlled Trials (RCTs) focused on DEX for AKI in adult patients after cardiac surgery. The primary outcome was incidence of AKI. Secondary outcomes were Mechanical Ventilation (MV) duration, Intensive Care Unit (ICU) Length Of Stay (LOS), hospital LOS and mortality. RESULTS: Fifteen trials enrolling 2907 study patients were collected in the meta-analyses. Compared with controls, DEX reduced the incidence of postoperative AKI (Odds Ratio [OR = 0.66]; 95% Confidence Interval [95% CI 0.48-0.91]; p = 0.01), and there was no significant difference between groups in postoperative mortality (OR = 0.63; 95% CI 0.32-1.26; p = 0.19), MV duration (Weighted Mean Difference [WMD = -0.44]; 95% CI -1.50-0.63; p = 0.42), ICU LOS (WMD = -1.19; 95% CI -2.89-0.51; p = 0.17), and hospital LOS (WMD = -0.31; 95% CI -0.76-0.15; p = 0.19). CONCLUSIONS: Perioperative DEX reduced the incidence of postoperative AKI in adult patients undergoing cardiac surgery. No significant decrease existed in mortality, MV duration, ICU LOS and hospital LOS owing to DEX administration.

Discovery of Dimethyl Shikonin Oxime 5a, a Potent, Selective Bombesin Receptor Subtype-3 Agonist for the Treatment of Type 2 Diabetes Mellitus.

Bombesin receptor subtype-3 (BB3, BRS-3) is an orphan Gαq protein-coupled receptor. The characterization of novel synthetic ligands for BB3 is an alternative and attractive strategy to study its diverse physiological functions. Here, we uncovered the intimate pairing of DMAKO-00 and its derivatives with BB3. Dimethyl shikonin oxime 5a (DSO-5a) was identified as the most potent agonist for BB3 (pEC50 = 8.422 in IP-1 accumulation), which was 898-fold more potent than DMAKO-00. Importantly, without brain penetration, DSO-5a improved glucose tolerance in C57BL/6 mice through BB3 and ameliorated glucose homeostasis in diabetic db/db mice. We further revealed that DSO-5a upregulated PPAR-gamma activity via BB3 through a quantitative proteomics approach. Collectively, our study demonstrated that DSO-5a, a representative compound of DMAKO-00 derivatives, is a potent, selective, and low-brain-penetrating agonist for BB3, and BB3 is a promising treatment target for type 2 diabetes mellitus.

Bombyx mori Ecdysone Receptor B1 May Inhibit BmNPV Infection by Triggering Apoptosis.

Bombyx mori nucleopolyhedrovirus (BmNPV) is a serious threat to sericulture. Nevertheless, no effective control strategy is currently available. The innate immunity of silkworm is critical in the antiviral process. Exploring its molecular mechanism provides theoretical support for the prevention and treatment of BmNPV. Insect hormone receptors play an essential role in regulating host immunity. We found a correlation between Bombyx mori ecdysone receptor B1 (BmEcR-B1) and BmNPV infection, whereas the underlying mechanism remains unclear. In this study, the expression patterns and sequence characteristics of BmEcR-B1 and its isoform, BmEcR-A, were initially analyzed. BmEcR-B1 was found to be more critical than BmEcR-A in silkworm development and responses to BmNPV. Moreover, RNAi and an overexpression in BmN cells showed BmEcR-B1 had antiviral effects in the presence of 20-hydroxyecdysone (20E); Otherwise, it had no antiviral activity. Furthermore, BmEcR-B1 was required for 20E-induced apoptosis, which significantly suppressed virus infection. Finally, feeding 20E had no significant negative impacts on larval growth and the cocoon shell, suggesting the regulation of this pathway has practical value in controlling BmNPV in sericulture. The findings of this study provide important theoretical support for understanding the mechanism of the silkworm innate immune system in response to BmNPV infection.

Effects of digital psychological interventions on physical symptoms in cancer patients: A systematic review and meta-analysis.

PURPOSE: This meta-analysis was to assess the efficacy of digital psychological interventions to improve physical symptoms (i.e., fatigue, pain, disturbed sleep, and physical well-being) among cancer patients, as well as to evaluate the variables that possibly moderate intervention effects. METHODS: Nine databases were searched for the literature up to February 2023. Two reviewers independently conducted a quality assessment. Effect sizes were reported as the standardized mean difference (Hedge's g) and estimated using a random-effects model. RESULTS: The meta-analysis included 44 randomized clinical trials comprising 7200 adults with cancer. Digital psychological interventions were associated with significant improvements in short-term fatigue (g = -0.33; 95% CI, -0.58 to -0.07) and disturbed sleep (g = -0.36; 95% CI, -0.57 to -0.15), but with non-significant changes in pain (g = -0.23; 95% CI, -0.68 to 0.21) and physical well-being (g = 0.31; 95% CI, -0.18 to 0.80). Additionally, no alleviation in long-term physical symptoms was observed. In subgroup analysis, results suggest that the country significantly moderated the effectiveness of digital psychological interventions in alleviating fatigue. CONCLUSIONS: Digital psychological interventions can be effective for improving short-term fatigue and disturbed sleep in patients with cancer. Clinicians could consider digital psychological interventions as a possible and efficient addition to better manage some of the physical symptoms during and after cancer treatment.

MoS2 nanopore identifies single amino acids with sub-1 Dalton resolution.

The sequencing of single protein molecules using nanopores is faced with a huge challenge due to the lack of resolution needed to resolve single amino acids. Here we report the direct experimental identification of single amino acids in nanopores. With atomically engineered regions of sensitivity comparable to the size of single amino acids, MoS2 nanopores provide a sub-1 Dalton resolution for discriminating the chemical group difference of single amino acids, including recognizing the amino acid isomers. This ultra-confined nanopore system is further used to detect the phosphorylation of individual amino acids, demonstrating its capability for reading post-translational modifications. Our study suggests that a sub-nanometer engineered pore has the potential to be applied in future chemical recognition and de novo protein sequencing at the single-molecule level.

Inducing Electric Current in Graphene Using Ionic Flow.

Classical nanofluidic frameworks account for the confined fluid and ion transport under an electrostatic field at the solid-liquid interface, but the electronic property of the solid is often overlooked. Harvesting the interaction of the nanofluidic transport with the electron transport in solid requires a route effectively coupling ion and electron dynamics. Here we report a nanofluidic analogy of Coulomb drag for exploring the dynamic ion-electron interactions at the liquid-graphene interface. An induced electric current in graphene by ionic flow with no bias directly applied to the graphene channel is observed experimentally, featuring an opposite electron current direction to the ion current. Our experiments and ab initio calculations show that the current generation stems from the confined ion-electron interactions via a nanofluidic Coulomb drag mechanism. Our findings may open up a new dimension for nanofluidics and transport control by ion-electron coupling.

Loss of Lkb1 in CD11c+ myeloid cells protects mice from diet-induced obesity while enhancing glucose intolerance and IL-17/IFN-γ imbalance.

Adipose tissue CD11c+ myeloid cell is an independent risk factor associated with obesity and metabolic disorders. However, the underlying molecular basis remains elusive. Here, we demonstrated that liver kinase B1 (Lkb1), a key bioenergetic sensor, is involved in CD11c+ cell-mediated immune responses in diet-induced obesity. Loss of Lkb1 in CD11c+ cells results in obesity resistance but lower glucose tolerance, which accompanies tissue-specific immune abnormalities. The accumulation and CD80's expression of Lkb1 deficient adipose-tissue specific dendritic cells but not macrophages is restrained. Additionally, the balance of IL-17A and IFN-γ remarkably tips towards the latter in fat T cells and CD11c- macrophages. Mechanistically, IFN-γ promotes apoptosis of preadipocytes and inhibits their adipogenesis while IL-17A promotes the adipogenesis in vitro, which might account in part for the fat gain resistant phenotype. In summary, these findings reveal that Lkb1 is essential for fat CD11c+ dendritic cells responding to HFD exposure and provides new insights into the IL-17A/IFN-γ balance in HFD-induced obesity.

Light-Driven Ion Transport through Single-Heterojunction Nanopores.

Inspired by natural photosynthesis, light has become an emerging ionic behavior regulator and ion-pumping source. Nanoprocessing technology has allowed the bridge between the light-regulated nanofluids and the optoelectronic properties of two-dimensional (2D) materials, which inspires applications like energy harvesting and enhances fundamental understandings in nanofluidics. However, unlike light-induced ion pumping based on densely layered membranes with multiple nanochannels, experimental implementation on atomically thin materials featuring only a single nanochannel remains challenging. Here, we report light-induced ion pumping based on a single artificial heterojunction nanopore. Under light illumination, the induced current through a single nanopore reaches tens of picoamperes. The hole-electron separation originating from the optoelectrical property of a van der Waals PN junction is proposed to capture the light-driven ion transport. Further, different methods are adopted to modify the ion behavior and response time, presenting potential applications in fluidic photoenergy harvesting, photoelectric ion transport control, and bionic artificial neurons.

Efficacy and mechanisms of mobile application-delivered Acceptance and Commitment Therapy for posttraumatic stress disorder in China: Study protocol for a randomized controlled trial.

Background: As a result of the COVID-19 pandemic and its far-reaching impact, the prevalence of posttraumatic stress disorder (PTSD) symptoms is increasing significantly in China. Yet access to reliable and effective psychological treatment is still limited during the pandemic. The widespread adoption of mobile technologies may provide a new way to address this gap. In this research we will develop an Acceptance and Commitment Therapy (ACT) based intervention delivered by mobile application and will test its usability, efficacy, and mechanism of its effects in relieving PTSD symptoms. Methods: A total of 147 Chinese participants with a diagnosis of PTSD according to the Clinician Administered PTSD Scale (CAPS-5) will be randomly assigned to an intervention group (app-delivered ACT), an active comparison group (app-delivered mindfulness), or a waitlist group. Participants in the intervention group or comparison group will use their respective apps for one month. Online self-report questionnaires will be used to assess the primary outcome of PTSD symptoms and the secondary outcomes symptoms of depression, symptoms of anxiety, and posttraumatic growth. The potential mediating variable to be tested is psychological flexibility and its components. These assessments will be conducted at baseline, at five times during treatment, at the end of treatment, and at 1- and 3-month follow-ups. Discussion: As far as we know, this study is the first randomized controlled trial to investigate the usability, efficacy, and mechanism of an app-delivered ACT intervention for PTSD. Furthermore, the research will assess the effect of treatment in reducing dropout rates, explore effective therapeutic components, and investigate mechanisms of symptom change, which will be valuable in improving the efficacy and usability of PTSD interventions.Trial registration: ChiCTR2200058408.

Inhibition of humic acid on copper pollution caused by chalcopyrite biooxidation.

Humic acid has the advantages of wide source, easy availability and environmental friendliness, which may be a good choice for inhibiting chalcopyrite biooxidation and alleviating copper pollution. However, there are few researches on the inhibitory effect and mechanism of humic acid on the biooxidation of chalcopyrite. In order to fill this knowledge gap, this study proposed and validated a novel method for inhibiting chalcopyrite biooxidation by means of humic acid. The results showed that the biooxidation of chalcopyrite could be effectively inhibited by humic acid, which consequently decreased the release of copper ions. Humic acid with a concentration of 120 ppm had the best inhibitory effect, which reduced the biooxidation efficiency of chalcopyrite from 40.7 ± 0.5 % to 29.3 ± 0.8 %. This in turn suggested that humic acid could effectively suppress the pollution of copper under these conditions. The analysis results of solution parameters, mineral surface morphology, mineral phases and element composition showed that humic acid inhibited the growth of Acidithiobacillus ferrooxidans, promoted the formation of jarosite and intensified the passivation of chalcopyrite, which effectively hindered the biooxidation of chalcopyrite, and would help to alleviate the pollution of copper.

Carotid contrast-enhanced ultrasonography combined with sirtuin-3 in the diagnosis of plaques in carotid atherosclerosis.

BACKGROUND: Carotid atherosclerosis (CAS) is one of the main causes of ischemic stroke. Currently, the clinical evidence for contrast-enhanced ultrasonography (CEUS) as a method for diagnosing CAS is still inadequate. Sirtuin-3 (SIRT3) is associated with the inflammation response; however, few studies have evaluated SIRT3 in CAS. OBJECTIVES: To investigate the role of SIRT3 in CAS patients and its diagnostic value for unstable plaques when combined with CEUS. MATERIAL AND METHODS: This is a prospective observational study including 517 CAS patients who were admitted to our hospital from January 2015 to December 2020. All patients received a normal Doppler ultrasound, CEUS and magnetic resonance imaging (MRI). The latter was used as the gold standard in evaluating plaque conditions. Serum SIRT3 levels were measured using an enzyme-linked immunosorbent assay (ELISA). Serum levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-ch), low-density lipoprotein cholesterol (LDL-ch), C-reactive protein (CRP), and interleukin (IL)-6 levels were measured and recorded. RESULTS: Patients with severe CAS showed significantly higher levels of CRP, IL-6, TC, and LDL-ch, a higher frequency of unstable plaques, as well as a lower level of HDL-ch. In patients with severe CAS and CAS patients with stable plaques, the levels of SIRT3 were markedly lower. Patients with a high expression of SIRT3 showed significantly lower levels of CRP, IL-6, TC and LDL-ch, and higher levels of HDL-ch, as well as a lower frequency of unstable plaques. Receiver operating characteristic (ROC) curves showed that the combination of CEUS and SIRT3 could achieve high sensitivity and specificity in the diagnosis of unstable plaques. High levels of C-reactive protein, IL-6, TC, TG and LDL-ch, as well as low levels of SIRT3 and HDL-ch, and current smoking were risk factors of unstable plaques in CAS patients. CONCLUSIONS: A low expression of SIRT3 predicted a higher risk for unstable plaques in CAS patients. The combination of CEUS and SIRT3 is a potential strategy for diagnosing unstable plaques.

Alveolar macrophage-derived NRP2 curtails lung injury while boosting host defense in bacterial pneumonia.

Clearance of airway intruders by immune cells is required to resolve infectious pneumonia. However, the molecular mechanisms underlying this process remain elusive. Here, we demonstrated that alveolar macrophage (AM)-derived neuropilin 2 (NRP2) plays an essential role in controlling severe pneumonia by enhancing microbial clearance. Mice with conditional deletion of the NRP2 gene in AM had persistent bacteria, uncontrolled neutrophil influx, and decreased survival during Escherichia coli-induced pneumonia. In vitro assays demonstrated that NRP2 could bind to CD11b+ Ly6Glo/+ neutrophils and promote their capacities in phagocytosis and killing of bacteria, which is partially contributed to the increased expression of TLR4 and TNF-a. These findings collectively revealed that AM-derived NRP2 protects the lungs from unwanted injury by promoting the clearance of invading pathogens. This study might provide a promising diagnostic biomarker and therapeutic target for severe pneumonia.

Ion Density-Dependent Dynamic Conductance Switching in Biomimetic Graphene Nanopores.

Gating in ion transport is at the center of many vital living-substance transmission processes, and understanding how gating works at an atomic level is essential but intricate. However, our understanding and finite experimental findings of subcontinuum ion transport in subnanometer nanopores are still limited, which is out of reach of the classical continuum nanofluidics. Moreover, the influence of ion density on subcontinuum ion transport is poorly understood. Here we report the ion density-dependent dynamic conductance switching process in biomimetic graphene nanopores and explain the phenomenon by a reversible ion absorption mechanism. Our molecular dynamics simulations demonstrate that the cations near the graphene nanopore can interact with the surface charges on the nanopore, thereby realizing the switching of high- and low-conductance states. This work has deepened the understanding of gating in ion transport.

The efficacy and optimal matching of an Internet-based acceptance and commitment therapy intervention for depressive symptoms among university students: A randomized controlled trial in China.

OBJECTIVE: The present study tested the efficacy of an unguided internet-based Acceptance and Commitment Therapy (iACT) program for depression, and identified the psychological characteristics of participants who benefitted the most from the program. METHOD: Undergraduate students with mild to severe symptoms of depression were randomized to the iACT group (n = 95) or the waiting-list group (WLC group; n = 87). Depressive symptoms and positive mental health were assessed at baseline (T0 ), at the end of the 6-week program (T1 ), and at a 3-month follow-up (T2 ). RESULTS: Compared with the WLC group, the iACT group showed significantly more improvement in depressive symptoms (d = 1.27) and positive mental health (d = 0.59), both at T1 and T2 . Latent Profile Analysis identified three classes of participants: Sensitive-to-Relationship, Low-Reactive-Depression, and Endogenous-Depression group. In general, the treatment was particularly suitable for the Sensitive-to-Relationship class. CONCLUSION: The iACT was effective in treating the depressive symptoms of undergraduates, especially suitable for the clients with high baseline depression, high externality, high resistance, and high sensitivity to relationships.