High remnant cholesterol as a risk factor for developing chronic kidney disease in patients with prediabetes and type 2 diabetes: a cross-sectional study of a US population.

AIMS: To examine any potential links between remnant cholesterol (RC) and comorbid chronic kidney disease (CKD) in individuals with prediabetes and type 2 diabetes mellitus (T2DM). METHODS: We used data from 2709 American people aged > 20 years from the National Health and Nutrition Examination Survey (NHANES) during 2011-2018. Subjects were categorized according to whether they had comorbid CKD. Logistic regression models and smoothed curve fitting methods were employed to assess the association of RC with comorbid CKD in patients with prediabetes and T2DM. RESULTS: The 2709 participants included 1473 patients with T2DM and 1236 with prediabetes [impaired glucose tolerance (IGT) and impaired fasting glucose (IFG)], of whom 744 (27.46%) had comorbid CKD. In multivariate-adjusted analysis, both RC and triglycerides (TG) were significantly associated with an increased risk of comorbid CKD, and a 1 mmol/L elevation of RC increased the risk by 38.1% [OR (95% CI) 1.636 (1.242, 2.156)], which was higher than the risk associated with a 1 mmol/L increase in TG [1.255 (1.106, 1.424)]. Additionally, those in the highest quartile of RC had a 43.6% higher risk of concomitant renal damage than those in the lowest quartile. RC was linearly and positively associated with the incidence of comorbid CKD in this population. CONCLUSIONS: RC is an independent risk factor for comorbid CKD in patients with prediabetes and T2DM. This finding provides a novel insight into the management and early detection of renal disease in patients with impaired glucose metabolism.

Geriatric Nursing: Relationship Among Death Attitude, Meaning in Life, and Career Choice Motivation.

BACKGROUND: Aging populations require higher quality care. However, few undergraduate nursing students choose careers in aged care. Negative death attitudes and loss of meaning in life may reduce motivation to choose geriatric nursing (GN) as a career. The relationships among these variables have yet to be clarified in the literature. PURPOSE: The purpose of this study was to investigate the relationships among death attitude, meaning in life, and motivation to choose a career in GN among undergraduate nursing students in China. METHODS: This cross-sectional study was conducted using an online survey. Five hundred ninety-five final-year undergraduate nursing students in four nursing schools completed the Career Choice Motivation Questionnaire for Geriatric Nursing, Death Attitude Profile-Revised, and Meaning in Life Questionnaire. A t test, analysis of variance, Pearson's correlation, and multiple linear regression model were used to analyze the data using SPSS Version 22.0. RESULTS: The mean Career Choice Motivation Questionnaire for Geriatric Nursing item score was 3.15 ( SD = 0.49; 1-5 points), indicating the participants were moderately motivated to choose GN as a career. The multiple linear regression revealed statistically significant associations among death attitude, meaning in life, and motivation to care for older adults, explaining 14.5% of the total variance ( R2 = .15, F = 9.01, p < .001). Perceiving meaning in life, having escape acceptance, and having approach acceptance were each shown to be positively associated with choosing a career in GN. Conversely, fear of death and death avoidance were found to be negatively associated with choosing this career path. CONCLUSIONS: Death attitude and perceptions regarding the meaning of life are associated with the motivation of nursing students to care for older adults.

Repetitive transcranial magnetic stimulation via the hippocampal brain-derived neurotrophic factor-tyrosine kinase receptor B pathway to affect sexual behavior and neuroplasticity in rapid ejaculation rats.

BACKGROUND: Premature ejaculation (PE) is the most prevalent sexual dysfunction among men. Eejaculation involves a complex nervous mechanism in which the ejaculatory centers play a key role in modulating sperm emission. Although treatment possibilities span from psychotherapy to pharmacological approaches, results show inconsistent efficacy. In this context, the emergence of repetitive transcranial magnetic stimulation (rTMS) as a non-invasive neuromodulatory approach represents a compelling avenue for potential therapeutic exploration. OBJECTIVE: To investigate whether high-frequency transcranial magnetic stimulation can modulate the ejaculatory behavior of rats with rapid ejaculation by altering neurotransmitter levels and neuroplasticity in the hippocampus. METHODS: Rats have been screened for rapid ejaculation by observing behavioral indices of mating, and subsequently divided into two groups. The intervention group was administered with a 10 Hz rTMS stimulation, whereas the control group received a sham procedure. Upon the delivery of rTMS, we investigated ejaculation latency (EL), the hippocampal 5-hydroxytryptamine (5-HT) concentration, brain-derived neurotrophic factor (BDNF), synaptophysin (SYN), and postsynaptic density protein 95 (PSD95) expressions, as well as BDNF-receptor tyrosine kinase receptor B (TrkB) pathway upregulation. RESULTS: After 14 days, EL was increased in the intervention group compared with the control group. 5-HT concentration in the hippocampal region was increased, and high-frequency rTMS activated the BDNF and TrkB pathways, including phosphorylation of cAMP response element-binding protein (CREB), and upregulated the transcription and protein expression of SYN, and PSD95. CONCLUSION: RTMS upregulates BDNF, SYN, and PSD95 expression through activation of the BDNF-TrkB pathway and increases brain 5-hydroxytryptamine thereby regulating neuroplasticity and improving ejaculation.

The integration of multi-omics analysis and machine learning for the identification of prognostic assessment and immunotherapy efficacy through aging-associated genes in lung cancer.

BACKGROUND: Recent years revealed key molecules in lung cancer research, yet their exact roles in disease onset and progression remain uncertain. Lung cancer's heterogeneity complicates prognosis prediction. This study integrates pivotal molecules to evaluate patient prognosis and immunotherapy efficacy. METHODS: The WGCNA algorithm identified module genes linked to immunity. The Lasso-Cox method built a prognostic model for outcome prediction. GO and KEGG analyses explored gene pathways. ssGSEA quantified immune cell types and functions. The riskScore predicts the effectiveness of immunotherapy based on its correlation with DNA repair and immune checkpoint genes. Single-cell sequencing examined key gene expression across cell types. RESULTS: Using WGCNA, we identified the MEbrown module related to immunity. Lasso-Cox selected "BLK," "ITGB4," "PRKCH," and "SNAI1" for the prognostic model. MF analysis revealed enriched functions including antigen binding, GTPase regulator activity. In terms of BP, processes like immune signaling and mitotic division were enriched. CC enrichment included immunoglobulin complexes and chromosomal regions. Enriched pathways encompassed Cell cycle, Focal adhesion, Cellular senescence, and p53 signaling. ssGSEA evaluated immune cell abundance. RiskScore correlated with CTLA4 and PD1 through MMR and immune checkpoint analysis. Single-cell analysis indicated gene expression across cell types for BLK, ITGB4, PRKCH, and SNAI1. CONCLUSION: In summary, our developed prognostic model utilizing age-related genes effectively predicts lung cancer prognosis and the efficacy of immune therapy.

The CXCL10/CXCR3 axis regulates Th1 cell differentiation and migration in experimental autoimmune prostatitis through the PI3K/AKT pathway.

OBJECTIVE: To investigate the mechanism of the CXCL10/CXCR3 axis regulating Th1 cell differentiation and migration through the PI3K/AKT pathway in chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). METHODS: Experimental autoimmune prostatitis (EAP) model, a well-described and validated animal model of CP/CPPS, was used in our study. After treatment with CXCL10, the severity of EAP and Th1 cell proportion were respectively measured by HE stains, immunohistochemistry, and flow cytometry. Then, the protein expression of the PI3K/AKT pathway in CXCL10/CXCR3-regulated Th1 cell differentiation and migration was evaluated by western blotting. Additionally, by the CXCR3 antagonist AMG487 and the PI3K inhibitor LY294002 applications, the effects of CXCL10/CXCR3 through PI3K/AKT pathway on the Th1 cell differentiation and migration were further assessed. RESULTS: The EAP model was successfully built. CXCL10 increased the proportion of Th1 cells in EAP mice, accompanied by upregulation of the PI3K/AKT pathway. Additionally, the PI3K/AKT pathway was found to be involved in CXCL10/CXCR3 axis-mediated Th1 cell differentiation and migration. CONCLUSIONS: Our investigations indicate that the CXCL10/CXCR3 axis regulates Th1 cell differentiation and migration in EAP through the PI3K/AKT pathway, which provides a new perspective on the immunological mechanisms of CP/CPPS.

Association of the NLR, BNP, PCT, CRP, and D-D with the Severity of Community-Acquired Pneumonia in Older Adults.

BACKGROUND: This study aimed to investigate the value of the neutrophil-to-lymphocyte ratio (NLR), B-type natriuretic peptide (BNP), and D-dimer (D-D) in predicting pneumonia severity in older adults with community-acquired pneumonia (CAP). METHODS: The retrospective study included older adults with CAP at the General Hospital of Northern Theater Command from January 2017 to December 2019. Patient demographic information and clinical characteristics were collected. Logistic multivariable analysis was used to analyze the factors associated with CAP severity. Receiver operating curve (ROC) analysis was used to evaluate the value of each biomarker in severity prediction. RESULTS: A total of 158 patients were included: 85 with mild-moderate CAP and 73 with severe CAP. The multivariable logistic analysis showed that CRP (OR = 1.011; 95% CI: 1.011 - 1.022; p = 0.039), BNP (OR = 1.003; 95% CI: 1.001 - 1.004; p = 0.001), D-D (OR = 1.289; 95% CI: 1.031 - 1.611; p = 0.026), and NLR (OR = 1.111; 95% CI: 1.011 - 1.222; p = 0.030) were independent factors associated with pneumonia severity. ROC analysis demonstrated the value of each biomarker in pneumonia severity prediction: CRP (AUC = 0.791, 95% CI: 0.720 - 0.861), BNP (AUC = 0.803, 95% CI: 0.649 - 0.806), D-D (AUC = 0.727, 95% CI: 0.734 - 0.872), and NLR (AUC = 0.817, 95% CI: 0.751 - 0.883). The positive and negative predictive values were 0.68 and 0.81 for CRP, 0.79 and 0.75 for BNP, 0.62 and 0.80 for D-D, and 0.80 and 0.76 for NLR. CONCLUSIONS: CRP, BNP, D-D, and NLR might be helpful independent factors in predicting pneumonia severity in older adults with CAP.

Structural basis of gRNA stabilization and mRNA recognition in trypanosomal RNA editing.

In Trypanosoma brucei, the editosome, composed of RNA-editing substrate-binding complex (RESC) and RNA-editing catalytic complex (RECC), orchestrates guide RNA (gRNA)-programmed editing to recode cryptic mitochondrial transcripts into messenger RNAs (mRNAs). The mechanism of information transfer from gRNA to mRNA is unclear owing to a lack of high-resolution structures for these complexes. With cryo-electron microscopy and functional studies, we have captured gRNA-stabilizing RESC-A and gRNA-mRNA-binding RESC-B and RESC-C particles. RESC-A sequesters gRNA termini, thus promoting hairpin formation and blocking mRNA access. The conversion of RESC-A into RESC-B or -C unfolds gRNA and allows mRNA selection. The ensuing gRNA-mRNA duplex protrudes from RESC-B, likely exposing editing sites to RECC-catalyzed cleavage, uridine insertion or deletion, and ligation. Our work reveals a remodeling event facilitating gRNA-mRNA hybridization and assembly of a macromolecular substrate for the editosome's catalytic modality.

Liquid Metal Fibers with a Knitted Structure for Wearable Electronics.

Flexible conductive fibers have shown tremendous potential in diverse fields, including health monitoring, intelligent robotics, and human-machine interaction. Nevertheless, most conventional flexible conductive materials face challenges in meeting the high conductivity and stretchability requirements. In this study, we introduce a knitted structure of liquid metal conductive fibers. The knitted structure of liquid metal fiber significantly reduces the resistance variation under tension and exhibits favorable durability, as evidenced by the results of cyclic tensile testing, which indicate that their resistance only undergoes a slight increase (<3%) after 1300 cycles. Furthermore, we demonstrate the integration of these liquid metal fibers with various rigid electronic components, thereby facilitating the production of pliable LED arrays and intelligent garments for electrocardiogram (ECG) monitoring. The LED array underwent a 30 min machine wash, during which it consistently retained its normal functionality. These findings evince the devices' robust stable circuit functionality and water resistance that remain unaffected by daily human activities. The liquid metal knitted fibers offer great promise for advancing the field of flexible conductive fibers. Their exceptional electrical and mechanical properties, combined with compatibility with existing electronic components, open new possibilities for applications in the physiological signal detection of carriers, human-machine interaction, and large-area electronic skin.

Asthma prevalence is increased in patients with high metabolism scores for visceral fat: study reports from the US.

Objective: Data from NHANES 2001-2018 were used to examine the relationship between metabolism score for visceral fat (METS-VF) and asthma prevalence. Methods: We assessed the association between METS-VF and asthma disease using multiple logistic regression analysis from the National Health and Nutrition Examination Survey (NHANES), 2001-2018, followed by subgroup analysis for sensitive populations. To determine whether METS-VF and asthma disease had a non-linear relationship, smooth curve fitting was used, and threshold effect analysis was used to verify the relationship. Results: Among the 36,876 participants, 4,919 self-reported having asthma. When all confounders were controlled for, a positive association was found between METS-VF and asthma prevalence (OR = 1.27, 95% CI: 1.22,1.32), and this positive association was stronger with elevated METS-VF (P for trend = 0.01). According to the smooth curve fitting analysis, METS-VF and asthma prevalence do not have a linear relationship. The double-segmented threshold effect analysis suggested a negative correlation but no statistically significant difference between METS-VF less than 5.24 and asthma prevalence (OR = 0.60, 95% CI: 0.33, 0.91). Besides, other METS-VF showed positive associations with asthma prevalence before and after the effective inflection point. According to subgroup analysis, METS-VF is associated with asthma prevalence among participants aged 40 - 59, male, Mexican American, with hypertension and diabetes, and without asthma history. Conclusion: A positive correlation between METS-VF and asthma was observed and this positive correlation was non-linear, and participants with METS-VF above 5.24 should be cautious about the high risk of asthma. The relationship should be given more attention to participants who are aged 40-59 years old, male, Mexican American, have hypertension, diabetes, and who do not have a family history of asthma.

Mutations in VWA8 cause autosomal-dominant retinitis pigmentosa via aberrant mitophagy activation.

BACKGROUND: Although retinitis pigmentosa (RP) is the most common type of hereditary retinal dystrophy, approximately 25%-45% of cases remain without a molecular diagnosis. von Willebrand factor A domain containing 8 (VWA8) encodes a mitochondrial matrix-targeted protein; its molecular function and pathogenic mechanism in RP remain unexplained. METHODS: Family members of patients with RP underwent ophthalmic examinations, and peripheral blood samples were collected for exome sequencing, ophthalmic targeted sequencing panel and Sanger sequencing. The importance of VWA8 in retinal development was demonstrated by a zebrafish knockdown model and cellular and molecular analysis. RESULTS: This study recruited a Chinese family of 24 individuals with autosomal-dominant RP and conducted detailed ophthalmic examinations. Exome sequencing analysis of six patients revealed heterozygous variants in VWA8, namely, the missense variant c.3070G>A (p.Gly1024Arg) and nonsense c.4558C>T (p.Arg1520Ter). Furthermore, VWA8 expression was significantly decreased both at the mRNA and protein levels. The phenotypes of zebrafish with VWA8 knockdown are similar to those of clinical individuals harbouring VWA8 variants. Moreover, VWA8 defects led to severe mitochondrial damage, resulting in excessive mitophagy and the activation of apoptosis. CONCLUSIONS: VWA8 plays a significant role in retinal development and visual function. This finding may provide new insights into RP pathogenesis and potential genes for molecular diagnosis and targeted therapy.

Optimal Strategies of Quantum Metrology with a Strict Hierarchy.

One of the main quests in quantum metrology is to attain the ultimate precision limit with given resources, where the resources are not only of the number of queries, but more importantly of the allowed strategies. With the same number of queries, the restrictions on the strategies constrain the achievable precision. In this Letter, we establish a systematic framework to identify the ultimate precision limit of different families of strategies, including the parallel, the sequential, and the indefinite-causal-order strategies, and provide an efficient algorithm that determines an optimal strategy within the family of strategies under consideration. With our framework, we show there exists a strict hierarchy of the precision limits for different families of strategies.

Aerobic exercise improves ejaculatory behaviors and complements dapoxetine treatment by upregulating the BDNF-5-HT duo: a pilot study in rats.

Accumulating evidence has revealed many clues that regular aerobic exercise benefits brain health and behaviors. The aims of this study were to explore the effect of aerobic exercise on ejaculatory behaviors, as well as to make a preliminary assessment of aerobic exercise as a complementary strategy to dapoxetine treatment in rapid ejaculators. Copulatory tests of rats and a treadmill training protocol were performed in this study. In total, 12 rapid ejaculators were selected on the basis of ejaculation distribution theory and randomly assigned to 4 groups: control (Ctrol) group, aerobic exercise (Ex) group, dapoxetine (Dapo) group, and Ex+Dapo group. We evaluated the changes in ejaculatory parameters in the 4 groups. Variations in biological markers, including serum corticosterone, serotonin (5-HT), and brain-derived neurotrophic factor (BDNF) of the raphe nucleus, were determined by enzyme-linked immunosorbent assay (ELISA). The primary finding of our study was that both aerobic exercise and acute dapoxetine could enhance ejaculation control and prolong ejaculation latency in rapid ejaculator rats. The ejaculation delay effect of aerobic exercise was nearly equivalent to that of acute dapoxetine. In addition, both aerobic exercise and dapoxetine treatment could lead to increased expression of BDNF and 5-HT in the raphe nucleus of rapid ejaculators. Moreover, the two interventions, when applied together, may further upregulate the expression of BDNF-5-HT duo in a complementary manner. This study highlights the positive effects of aerobic exercise on ejaculation control. Regular aerobic exercise might be a promising complementary treatment to dapoxetine in rats.

End-of-Life Communication Skills Training for Undergraduate Nursing Students to Address Cultural Obstacles in China.

Nurses face many difficulties and challenges related to how patients and their families deal with communication about end-of-life (EOL) care in China because of the strong influence of traditional Chinese culture. Moreover, education and training opportunities in EOL communication skills for nursing students are rare in mainland China. This study designed a progressive case involving a common EOL communication dilemma related to traditional Chinese culture and trained 50 undergraduate nursing students in EOL communication skills. A quasi-experimental design was used to compare the training outcomes of nursing students who were divided into a standardized patient simulation group and a role-playing group. The role-playing group (23 participants) was trained via group case discussion and role-playing among classmates, while the standardized patient simulation group (27 participants) completed EOL communication training by interacting with standardized patients and their families in a high-fidelity simulation. Attitudes toward death, self-confidence in EOL communication, and communication learning were evaluated in both groups during preintervention and postintervention. The results showed that all 3 variables improved after the intervention. This study shows that EOL communication skills training has a positive effect on nursing students to a certain extent.

Stability classification probability model of loess deposits based on MCS-Cloud.

The stability classification of loess deposits around tunnels is a vital prerequisite for safe construction in underground environment. Due to the fuzziness and randomness of loess physical and mechanical parameters, the stability prediction of loess deposits shows uncertainty. Existing loess deposit stability classification models rarely consider the uncertainty of influencing factors. A novel classification probability model of loess deposits is proposed for the above problems based on Monte Carlo simulation and multi-dimensional normal cloud (MCS-Cloud). Specifically, five loess parameters, including water content, cohesion, internal friction angle, elastic modulus, and Poisson ratio, were selected as predictors for the stability level of loess deposits. The weights of the predictors were obtained through 50 test samples. After acquiring the numerical characteristics of the normal cloud, the stability level can be comprehensively evaluated with the weighted multi-dimensional normal cloud model. The classification model was applied to the loess tunnel in Yan'an, China. The prediction results are in good agreement with practical engineering, denoting the rationality of the weighted multi-dimensional normal cloud. Finally, the stability classification of loess deposits was discussed from the perspective of uncertainty analysis with the application of MCS. Results proved that the MCS-Cloud model is feasible for classifying the stability of loess deposits surrounding tunnels. The obtained classification probability can be used for quantitative risk assessment of loess tunnels.

Association of lipid accumulation products with testosterone deficiency in adult American men: A cross-sectional study.

PURPOSE: Testosterone deficiency and changes in testosterone levels are important in men's health and may be associated with fat accumulation. In order to investigate the connection between testosterone and fat accumulation in adult males, we employed lipid accumulation product and compared it to triglyceride-glucose and Homeostasis Model Assessment of Insulin Resistance. MATERIALS AND METHODS: An intersecting surface research of participators from 2013 to 2014 was carried out using National Health and Nutrition Examination Survey, in addition, participants from 2015 to 2016 were selected. Using multivariate adjusted logistic regression, the connection between lipid accumulation product, testosterone levels, and testosterone insufficiency was investigated, smoothed curve fitting was calculated to integrate non-linear relationships, and subgroup analysis was performed to identify sensitive populations. RESULTS: After removing all potential confounders, testosterone levels in 1651 subjects tended to decrease with increasing continuous variable lipid accumulation product (ß = -0.49, 95% confidence interval [-0.77, -0.22], p = 0.0005) and adding the chance of testosterone deficiency (odds ratio = 1.01, 95% confidence interval [1.01, 1.01], p < 0.0001). In the lipid accumulation product quartile, testosterone levels decreased the most (ß = -77.65, 95% confidence interval [-110.99, -44.31], p < 0.0001) and the risk of testosterone deficiency was highest (odds ratio = 2.76, 95% confidence interval [1.47, 5.20], p = 0.0016). The area under the curve values were 0.718 (95% confidence interval: 0.688-0.750) for lipid accumulation product, 0.723 (95% confidence interval: 0.689-0.756) for Homeostasis Model Assessment of Insulin Resistance, and 0.673 (95% confidence interval: 0.640-0.708) for triglyceride-glucose, with no statistical difference between lipid accumulation product and Homeostasis Model Assessment of Insulin Resistance comparisons. The cut-off value of lipid accumulation product ≥52.408 predicted testosterone deficiency with good sensitivity and specificity. CONCLUSION: Higher lipid accumulation product was linked to a higher incidence of testosterone loss and inadequate, especially in hypertensive and non-smoker. Lipid accumulation product is a better predictor of testosterone deficiency than triglyceride-glucose and does not differ significantly from the Homeostasis Model Assessment of Insulin Resistance phase.

Intelligent prediction of rockburst in tunnels based on back propagation neural network integrated beetle antennae search algorithm.

Rockburst is one of the major engineering geological disasters of underground engineering. Accurate rockburst intensity level prediction is vital for disaster control during underground tunnel construction. In this work, a hybrid model integrating the back propagation neural network (BPNN) with beetle antennae search algorithm (BAS) has been developed for rockburst prediction. Before model building, 173 groups of rockburst dataset were collected. Six geological parameters are selected as predictors for rockburst, including the maximum tangential stress of the surrounding rock σθ, the uniaxial compressive strength of rock σc, the tensile strength of rock σt, the stress ratio σθ/σc, the rock brittleness ratio σc/σt, and the elastic energy index Wet. After preprocessed by outlier detection and synthetic minority oversampling technique (SMOTE), the new dataset was divided into training and test parts. BAS could optimize the weights and biases of BPNN from the training process. Then the established hybrid model was applied to the test samples with predicted accuracy of 94.3%, proving that the hybrid model has practical value in researching rockburst prediction.

Physics-Guided Neural-Network-Based Inverse Design of a Photonic-Plasmonic Nanodevice for Superfocusing.

Controlling the nanoscale light-matter interaction using superfocusing hybrid photonic-plasmonic devices has attracted significant research interest in tackling existing challenges, including converting efficiencies, working bandwidths, and manufacturing complexities. With the growth in demand for efficient photonic-plasmonic input-output interfaces to improve plasmonic device performances, sophisticated designs with multiple optimization parameters are required, which comes with an unaffordable computation cost. Machine learning methods can significantly reduce the cost of computations compared to numerical simulations, but the input-output dimension mismatch remains a challenging problem. Here, we introduce a physics-guided two-stage machine learning network that uses the improved coupled-mode theory for optical waveguides to guide the learning module and improve the accuracy of predictive engines to 98.5%. A near-unity coupling efficiency with symmetry-breaking selectivity is predicted by the inverse design. By fabricating photonic-plasmonic couplers using the predicted profiles, we demonstrate that the excitation efficiency of 83% on the radially polarized surface plasmon mode can be achieved, which paves the way for super-resolution optical imaging.

Comparison of fluoxetine with other selective serotonin reuptake inhibitors in the treatment of premature ejaculation: A systematic review and meta-analysis.

The primary goal of this systematic review and meta-analysis was to compare the efficacy and safety of fluoxetine with other oral pharmaceuticals in the treatment of premature ejaculation (PE). We searched through databases including CNKI, PubMed, EMBASE and Cochrane to find research published up to 31 March 2022. PROSPERO was used to pre-register this meta-analysis (registration number CRD42022315459). Two separate writers extracted relevant details from all of the papers included in the study. To analyse the quality of literature publishing, we used the Cochrane risk of bias tool. The severity of premature ejaculation was determined using intravaginal ejaculatory latency time (IELT), and the effectiveness and safety of pharmacological interventions were determined using standardized mean difference (SMD) and risk ratio (RR) values with matching 95% confidence level intervals (95% CIs). Our meta-analysis includes a total of ten trials to investigate into the differences in treatment efficacy and safety between fluoxetine and other medicines. The findings revealed that fluoxetine was more effective than placebo in treating PE, whereas sertraline and paroxetine were more effective than fluoxetine (p < 0.05). The side effects of the medications were not significantly different, and they were all acceptable. The results of the sensitivity analysis were unaffected by the removal of any of the articles. There was no evidence of bias in the media. This meta-analysis examined the differences in efficacy and safety between fluoxetine and other oral medications and can be used by clinicians in the treatment of PE.

6 nm super-resolution optical transmission and scattering spectroscopic imaging of carbon nanotubes using a nanometer-scale white light source.

Optical transmission and scattering spectroscopic microscopy at the visible and adjacent wavelengths denote one of the most informative and inclusive characterization methods in material research. Unfortunately, restricted by the diffraction limit of light, it cannot resolve the nanoscale variation in light absorption and scattering, diagnostics of the local inhomogeneity in material structure and properties. Moreover, a large quantity of nanomaterials has anisotropic optical properties that are appealing yet hard to characterize through conventional optical methods. There is an increasing demand to extend the optical hyperspectral imaging into the nanometer length scale. In this work, we report a super-resolution hyperspectral imaging technique that uses a nanoscale white light source generated by superfocusing the light from a tungsten-halogen lamp to simultaneously obtain optical transmission and scattering spectroscopic images. A 6-nm spatial resolution in the visible to near-infrared wavelength regime (415-980 nm) is demonstrated on an individual single-walled carbon nanotube (SW-CNT). Both the longitudinal and transverse optical electronic transitions are measured, and the SW-CNT chiral indices can be identified. The band structure modulation in a SW-CNT through strain engineering is mapped.