Optimization of Minocycline-Containing Bismuth Quadruple Therapy for Helicobacter pylori Rescue Treatment: A Real-World Evidence Study.

BACKGROUND: The optimal dosage of minocycline remains unclear for Helicobacter pylori (H. pylori) eradication. We aimed to evaluate the efficacy and safety of four different regimens with minocycline and metronidazole compared to classical bismuth quadruple therapy for H. pylori rescue treatment. MATERIALS AND METHODS: From March 2021 to March 2024, refractory H. pylori-infected patients with at least two previous treatment failures who received 14-day therapy with b.i.d. proton pump inhibitor 20 mg and bismuth 220 mg, plus tetracycline 400 mg q.i.d and metronidazole 400 mg q.i.d (BQT), or minocycline 50 mg q.i.d and metronidazole 400 mg q.i.d (PBMn4M4), or minocycline 50 mg t.i.d and metronidazole 400 mg t.i.d (PBMn3M3), or minocycline 50 mg b.i.d and metronidazole 400 mg q.i.d (PBMn2M4), or minocycline 50 mg b.i.d and metronidazole 400 mg t.i.d (PBMn2M3) were included in this retrospective study. H. pylori eradication was assessed by 13C-urea breath test at least 6 weeks after treatment. All adverse effects during treatment were recorded. RESULTS: Totally, 823 patients were enrolled: 251 with BQT, 97 with PBMn4M4, 191 with PBMn3M3, 108 with PBMn2M4, and 176 with PBMn2M3. The eradication rates of BQT, PBMn4M4, PBMn3M3, PBMn2M4, and PBMn2M3 were 89.2%, 87.6%, 91.6%, 88.0%, and 91.5%, respectively, by intention-to-treat analysis; 96.1%, 97.7%, 97.8%, 96.9%, and 97.6%, respectively, by modified intention-to-treat analysis; 97.1%, 97.5%, 97.7%, 96.8%, and 97.6%, respectively, by per-protocol analysis. Metronidazole resistance did not affect the efficacy of all groups. PBMn2M3 group achieved the greatest compliance and the fewest moderate and severe adverse events. CONCLUSIONS: The novel bismuth-containing quadruple therapy with a low dose of minocycline and metronidazole is an alternative to classical bismuth quadruple therapy for H. pylori rescue treatment with superior safety and compliance. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT06332599.

Vonoprazan-Amoxicillin Dual Therapy With Different Amoxicillin Administration Regimens for Helicobacter pylori Treatment: A Randomized Controlled Trial.

BACKGROUND: The effect of preprandial or postprandial administration of amoxicillin on the efficacy of vonoprazan-amoxicillin dual therapy (VA-dual therapy) for Helicobacter pylori treatment has not been studied. It is also unclear whether amoxicillin dosing four times daily is more effective than three times daily. We aimed to investigate the effect of different amoxicillin administration regimens on the efficacy of VA-dual therapy. MATERIALS AND METHODS: H. pylori-infected subjects were randomly assigned to three groups in a 1:1:1 ratio to receive a 14-day dual therapy consisting of vonoprazan 20 mg twice daily + amoxicillin 1000 mg three times daily before meals (BM-TID) or 1000 mg three times daily after meals (AM-TID) or 750 mg four times daily after meals (AM-QID). H. pylori eradication rates, adverse events rates, compliance, and antibiotic resistance were compared. RESULTS: Between May 2021 to April 2023, 327 subjects were enrolled. The eradication rates of BM-TID, AM-TID, and AM-QID dual therapy were 88.1%, 89.9%, and 93.6% in intention-to-treat (ITT) analysis, 90.6%, 94.2%, and 99.0% in modified ITT (MITT) analysis, and 90.4%, 94.1%, and 99.0% in per-protocol (PP) analysis. Although there was non-inferiority between BM-TID and AM-TID, as well as between AM-TID and AM-QID, AM-QID was significantly more effective than BM-TID. There were no significant differences in adverse event rates, compliance, and antibiotic resistance among the three groups. CONCLUSIONS: Postprandial administration and the increased frequency of administration of amoxicillin may contribute to a better efficacy of VA-dual therapy, especially for rescue therapy. All VA-dual therapy in our study could achieve good efficacy for first-line treatment. TRIAL REGISTRATION: clinicaltrials.gov: NCT05901051.

Rhizosphere Mortierella strain of alfalfa exerted weed growth inhibition by inducing expression of plant hormone-related genes.

Introduction: Weeds are significant factors that detrimentally affect crop health and hinder optimal herbage yield. Rhizosphere microorganisms play crucial roles in plant growth, development, and nutrient uptake. Therefore, research focusing on weed control through the lens of microorganisms has emerged as a prominent area of study. The oil-producing fungus Mortierella, which is known for its numerous agricultural benefits, has garnered significant attention in recent years. Methods: In this study, we conducted inoculation experiments in a controlled artificial culture climate chamber to investigate the effects of differential hormones and differentially expressed genes in the stems and leaves of Digitaria sanguinalis using Liquid Chromatography Tandem Mass Spectrometry and RNA-seq techniques, respectively. Additionally, Pearson's correlation analysis was used to establish correlations between differential hormones and growth indicators of Digitaria sanguinalis. Results and discussion: The results demonstrated that inoculation with Mortierella sp. MXBP304 effectively suppressed aboveground biomass and plant height in Digitaria sanguinalis. Furthermore, there was significant upregulation and downregulation in the expression of genes involved in the synthesis and metabolism of phenylalanine and L-phenylalanine. Conversely, the expression of genes related to tryptophan, L-tryptophan, and indole was significantly downregulated. The addition of Mortierella sp. MXBP304 can influence the gene expression associated with phenylalanine and tryptophan synthesis and metabolism during Digitaria sanguinalis growth, subsequently reducing the relative contents of phenylalanine and tryptophan, thereby directly inhibiting Digitaria sanguinalis growth.

Unsupervised OCT image despeckling with ground-truth- and repeated-scanning-free features.

Optical coherence tomography (OCT) can resolve biological three-dimensional tissue structures, but it is inevitably plagued by speckle noise that degrades image quality and obscures biological structure. Recently unsupervised deep learning methods are becoming more popular in OCT despeckling but they still have to use unpaired noisy-clean images or paired noisy-noisy images. To address the above problem, we propose what we believe to be a novel unsupervised deep learning method for OCT despeckling, termed Double-free Net, which eliminates the need for ground truth data and repeated scanning by sub-sampling noisy images and synthesizing noisier images. In comparison to existing unsupervised methods, Double-free Net obtains superior denoising performance when trained on datasets comprising retinal and human tissue images without clean images. The efficacy of Double-free Net in denoising holds significant promise for diagnostic applications in retinal pathologies and enhances the accuracy of retinal layer segmentation. Results demonstrate that Double-free Net outperforms state-of-the-art methods and exhibits strong convenience and adaptability across different OCT images.

A Systematic Review and Quality Assessment of Cardiovascular Disease-Specific Health-Related Quality-of-Life Instruments Part I: Instrument Development and Content Validity.

OBJECTIVES: Health-related quality-of-life (HRQoL) instruments for cardiovascular diseases (CVD) have been commonly used to measure important patient-reported outcomes (PROs) in clinical trials and practices. This study aimed at systematically identifying and assessing the content validity of CVD-specific HRQoL instruments in clinical studies. METHODS: The research team searched Cumulative Index to Nursing and Allied Health Literature, Embase, and PubMed from inception to January 20, 2022. The research team included studies that reported the development and content validity for CVD-specific instruments. Two reviewers independently assessed the methodological quality using the Consensus-based Standards for the Selection of Health Measurement Instruments methods on evaluating content validity of PROs. Content analysis was used to categorize the items included in the instruments. RESULTS: The research team found 69 studies reporting the content validity of 40 instruments specifically developed for CVD. Fourteen (35.0%) were rated "sufficient" with very low to moderate quality of evidence. For PRO development, all instruments were rated "doubtful" or "inadequate." Twenty-eight (70.0%) instruments cover the core concepts of HRQoL. CONCLUSIONS: The quality of development and content validity vary among existing CVD-specific instruments. The evidence on the content validity should be considered when choosing a HRQoL instrument in CVD clinical studies and health economic evaluations.

Numerical simulation of the distal stent graft-induced new entry after TEVAR.

The study aimed to investigate the mechanical factors for distal stent graft-induced new entry (dSINE) in aortic dissection patients and discussed these factors in conjunction with aortic morphology. Two patients (one dSINE and one non-dSINE), with the same age, gender, and type of implanted stent, were selected, then aortic morphological parameters were calculated. In addition, the stent material parameters used by the patients were also fitted. Simulations were performed based on the patient's aortic model and the stent graft used. The true lumen segment at the distal stent graft was designated as the "dSINE risk zone," and mechanical parameters (maximum principal strain, maximum principal stress) were computed. When approaching the area with higher mechanical parameters in the dSINE risk zone, dSINE patient exhibited higher values and growth rates in mechanical parameters compared to non-dSINE patient. Furthermore, dSINE patient also presented larger aortic taper ratio, stent oversizing ratio, and expansion mismatch ratio of the distal true lumen (EMRDTR). The larger mechanical parameters and growth rates in dSINE patient corresponded to a greater aortic taper ratio, stent oversizing ratio, and EMRDTR. The failure of dSINE prediction by the stent tortuosity index indicated that mechanical parameters were the fundamental reasons for dSINE development.

Toward Ground-Truth Optical Coherence Tomography via Three-Dimensional Unsupervised Deep Learning Processing and Data.

Optical coherence tomography (OCT) can perform non-invasive high-resolution three-dimensional (3D) imaging and has been widely used in biomedical fields, while it is inevitably affected by coherence speckle noise which degrades OCT imaging performance and restricts its applications. Here we present a novel speckle-free OCT imaging strategy, named toward-ground-truth OCT ( t GT-OCT), that utilizes unsupervised 3D deep-learning processing and leverages OCT 3D imaging features to achieve speckle-free OCT imaging. Specifically, our proposed t GT-OCT utilizes an unsupervised 3D-convolution deep-learning network trained using random 3D volumetric data to distinguish and separate speckle from real structures in 3D imaging volumetric space; moreover, t GT-OCT effectively further reduces speckle noise and reveals structures that would otherwise be obscured by speckle noise while preserving spatial resolution. Results derived from different samples demonstrated the high-quality speckle-free 3D imaging performance of t GT-OCT and its advancement beyond the previous state-of-the-art. The code is available online: https://github.com/Voluntino/tGT-OCT.

High-accuracy 3D segmentation of wet age-related macular degeneration via multi-scale and cross-channel feature extraction and channel attention.

Wet age-related macular degeneration (AMD) is the leading cause of visual impairment and vision loss in the elderly, and optical coherence tomography (OCT) enables revolving biotissue three-dimensional micro-structure widely used to diagnose and monitor wet AMD lesions. Many wet AMD segmentation methods based on deep learning have achieved good results, but these segmentation results are two-dimensional, and cannot take full advantage of OCT's three-dimensional (3D) imaging characteristics. Here we propose a novel deep-learning network characterizing multi-scale and cross-channel feature extraction and channel attention to obtain high-accuracy 3D segmentation results of wet AMD lesions and show the 3D specific morphology, a task unattainable with traditional two-dimensional segmentation. This probably helps to understand the ophthalmologic disease and provides great convenience for the clinical diagnosis and treatment of wet AMD.

High-precision Drosophila heart segmentation and dynamic cardiac parameter measurement for optogenetics-OCT-based cardiac function research.

Drosophila model has been widely used to study cardiac functions, especially combined with optogenetics and optical coherence tomography (OCT) that can continuously acquire mass cross-sectional images of the Drosophila heart in vivo over time. It's urgent to quickly and accurately obtain dynamic Drosophila cardiac parameters such as heartbeat rate for cardiac function quantitative analysis through these mass cross-sectional images of the Drosophila heart. Here we present a deep-learning method that integrates U-Net and generative adversarial network architectures while incorporating residually connected convolutions for high-precision OCT image segmentation of Drosophila heart and dynamic cardiac parameter measurements for optogenetics-OCT-based cardiac function research. We compared our proposed network with the previous approaches and our segmentation results achieved the accuracy of intersection over union and Dice similarity coefficient higher than 98%, which can be used to better quantify dynamic heart parameters and improve the efficiency of Drosophila-model-based cardiac research via the optogenetics-OCT-based platform.

Anaerobic granular sludge performance in an expanded granular sludge bed reactor treating calcium-rich wastewater by adjusting CaCO3 crystallization: Effect of upflow velocity and Ca2+ concentration.

The role of upflow velocity and Ca2+ concentration in controlling the type and rate of CaCO3 crystallization and their impacts on the anaerobic granular sludge (AnGS) formation and performance in an expanded granular sludge bed (EGSB) reactor were studied. The results showed that an improved upflow velocity could promote metastable CaCO3 crystals and achieve the optimized portion of vaterite with a value of 84 % at 10 m/h with a small amount of aragonite, thus limiting the scaling in the reactor. The removal efficiency of Ca2+ was to some extent positively correlated to the influent Ca2+ concentration, but declined when Ca2+ exceeded a specific threshold. Vaterite was dominant with the increase of Ca2+ concentrations of the influent. Compared with granules in R1 (Ca2+ 10 mg/L) and R2 (Ca2+ 100 mg/L), granules cultivated in R3 (Ca2+ 800 mg/L) revealed maximum amount of biomass with biggest particle size distribution and fastest average settling rate, with relative stable COD removal efficiency and the fast optimized reactor capacity at OLR of 16 kgCOD/m3d. A low upflow velocity and a higher Ca2+ concentration promoted nucleus formation and granules growth at the initial cultivation stage of the EGSB reactor. The Ca2+ concentration had a significant impact on the bacterial community and favoured the growth of Tolumonas and Anaeromousa Anaeroarcus. Archaea, rather than bacteria, was strengthened to contribute more to methane production at a relatively high Ca2+ concentration.

Intravenous immunoglobulin for treatment of hospitalized COVID-19 patients: an evidence mapping and meta-analysis.

BACKGROUND: The clinical efficacy and safety of intravenous immunoglobulin (IVIg) treatment for COVID-19 remain controversial. This study aimed to map the current status and gaps of available evidence, and conduct a meta-analysis to further investigate the benefit of IVIg in COVID-19 patients. METHODS: Electronic databases were searched for systematic reviews/meta-analyses (SR/MAs), primary studies with control groups, reporting on the use of IVIg in patients with COVID-19. A random-effects meta-analysis with subgroup analyses regarding study design and patient disease severity was performed. Our outcomes of interest determined by the evidence mapping, were mortality, length of hospitalization (days), length of intensive care unit (ICU) stay (days), number of patients requiring mechanical ventilation, and adverse events. RESULTS: We included 34 studies (12 SR/MAs, 8 prospective and 14 retrospective studies). A total of 5571 hospitalized patients were involved in 22 primary studies. Random-effects meta-analyses of very low to moderate evidence showed that there was little or no difference between IVIg and standard care or placebo in reducing mortality (relative risk [RR] 0.91; 95% CI 0.78-1.06; risk difference [RD] 3.3% fewer), length of hospital (mean difference [MD] 0.37; 95% CI - 2.56, 3.31) and ICU (MD 0.36; 95% CI - 0.81, 1.53) stays, mechanical ventilation use (RR 0.92; 95% CI 0.68-1.24; RD 2.8% fewer), and adverse events (RR 0.98; 95% CI 0.84-1.14; RD 0.5% fewer) of patients with COVID-19. Sensitivity analysis using a fixed-effects model indicated that IVIg may reduce mortality (RR 0.76; 95% CI 0.60-0.97), and increase length of hospital stay (MD 0.68; 95% CI 0.09-1.28). CONCLUSION: Very low to moderate certainty of evidence indicated IVIg may not improve the clinical outcomes of hospitalized patients with COVID-19. Given the discrepancy between the random- and fixed-effects model results, further large-scale and well-designed RCTs are warranted.

Health state utility values for children and adolescents with type 1 diabetes: A systematic review and meta-analysis.

BACKGROUND: Type 1 diabetes mellitus (T1DM) is one of the most burdensome chronic diseases in the world. Health utility values are an important tool for quantifying this disease burden and conducting cost-utility analyses. This review aimed to derive a reference set of health utility values for children and adolescents with T1DM. METHODS: We searched MEDLINE and Embase from inception to March 2023 for health utility values of T1DM children and adolescents (aged ≤18 years) measured using direct and indirect preference elicitation approaches. Utility estimates were pooled by meta-analyses with subgroup analyses to evaluate differences by populations and elicitation approaches. RESULTS: Six studies involving 1276 participants were included in this study. Meta-analysis showed the overall utility value of children and adolescents with T1DM was 0.91 (95% CI 0.89-0.93). The utility value of T1DM children and adolescents with complications was 0.90 (95% CI 0.88-0.92), which was lower than those without complications (0.96, 95% CI 0.95-0.97). The utility value of children (aged <13 years) was higher than adolescents (aged 13-18 years) (0.90 vs. 0.85). The utility value measured by the EQ-5D-3L (0.91) was higher than the HUI3 (0.89), the SF-6Dv1 (0.83), and the time trade-off (0.81). The parent proxy-reported was similar to the patient self-reported (0.91 vs. 0.91). CONCLUSIONS: This study developed a reference set of pooled utility estimates for children and adolescents with T1DM, which is helpful for understanding the overall health status of T1DM and conducting economic evaluations. Further studies are needed to explore the utilities of T1DM with different types of complications.

PROTOCOL: Effectiveness of home-based interventions to prevent child neglect: A systematic review.

This is the protocol for a Campbell systematic review. The objectives are as follows. The objectives of the present study are to answer the following questions: (1) What types of home-based interventions are currently being studied to prevent child neglect? (2) How effective are the different home-based interventions for preventing child neglect? (3) What are the causes of heterogeneity among included studies and their impact on study effects?

Management of chronic pain secondary to temporomandibular disorders: a systematic review and network meta-analysis of randomised trials.

OBJECTIVE: We explored the comparative effectiveness of available therapies for chronic pain associated with temporomandibular disorders (TMD). DESIGN: Systematic review and network meta-analysis of randomised clinical trials (RCTs). DATA SOURCES: MEDLINE, EMBASE, CINAHL, CENTRAL, and SCOPUS were searched to May 2021, and again in January 2023. STUDY SELECTION: Interventional RCTs that enrolled patients presenting with chronic pain associated with TMD. DATA EXTRACTION AND SYNTHESIS: Pairs of reviewers independently identified eligible studies, extracted data, and assessed risk of bias. We captured all reported patient-important outcomes, including pain relief, physical functioning, emotional functioning, role functioning, social functioning, sleep quality, and adverse events. We conducted frequentist network meta-analyses to summarise the evidence and used the GRADE approach to rate the certainty of evidence and categorise interventions from most to least beneficial. RESULTS: 233 trials proved eligible for review, of which 153-enrolling 8713 participants and exploring 59 interventions or combinations of interventions-were included in network meta-analyses. All subsequent effects refer to comparisons with placebo or sham procedures. Effects on pain for eight interventions were supported by high to moderate certainty evidence. The three therapies probably most effective for pain relief were cognitive behavioural therapy (CBT) augmented with biofeedback or relaxation therapy (risk difference (RD) for achieving the minimally important difference (MID) in pain relief of 1 cm on a 10 cm visual analogue scale: 36% (95% CI 33 to 39)), therapist-assisted jaw mobilisation (RD 36% (95% CI 31 to 40)), and manual trigger point therapy (RD 32% (29 to 34)). Five interventions were less effective, yet more effective than placebo, showing RDs ranging between 23% and 30%: CBT, supervised postural exercise, supervised jaw exercise and stretching, supervised jaw exercise and stretching with manual trigger point therapy, and usual care (such as home exercises, self stretching, reassurance).Moderate certainty evidence showed four interventions probably improved physical functioning: supervised jaw exercise and stretching (RD for achieving the MID of 5 points on the short form-36 physical component summary score: 43% (95% CI 33 to 51)), manipulation (RD 43% (25 to 56)), acupuncture (RD 42% (33 to 50)), and supervised jaw exercise and mobilisation (RD 36% (19 to 51)). The evidence for pain relief or physical functioning among other interventions, and all evidence for adverse events, was low or very low certainty. CONCLUSION: When restricted to moderate or high certainty evidence, interventions that promote coping and encourage movement and activity were found to be most effective for reducing chronic TMD pain. REGISTRATION: PROSPERO (CRD42021258567).

Comparison of the measurement properties of the EQ-5D-5L and SF-6Dv2 among overweight and obesity populations in China.

OBJECTIVE: To evaluate and compare the measurement properties of the EQ-5D-5L and SF-6Dv2 among Chinese overweight and obesity populations. METHODS: A representative sample of Chinese overweight and obesity populations was recruited stratified by age, gender, body mass index (BMI), and area of residence. Social-demographic characteristics and self-reported EQ-5D-5L and SF-6Dv2 responses were collected through the online survey. The agreement was assessed using intraclass correlation coefficients (ICC). Convergent validity and known-group validity were examined using Spearman's rank correlation and effect sizes, respectively. The test-retest reliability was assessed using among a subgroup of the total sample. Sensitivity was compared using relative efficiency and receiver operating characteristic. RESULTS: A total of 1000 respondents (52.0% male, mean age 51.7 years, 67.7% overweight, 32.3% obesity) were included in this study. A higher ceiling effect was observed in EQ-5D-5L than in SF-6Dv2 (30.6% vs. 2.1%). The mean (SD) utility was 0.851 (0.195) for EQ-5D-5L and 0.734 (0.164) for SF-6Dv2, with the ICC of the total sample was 0.639 (p < 0.001). The Spearman's rank correlation (range: 0.186-0.739) indicated an acceptable convergent validity between the dimensions of EQ-5D-5L and SF-6Dv2. The EQ-5D-5L showed basically equivalent discriminative capacities with the SF-6Dv2 (ES: 0.517-1.885 vs. 0.383-2.329). The ICC between the two tests were 0.939 for EQ-5D-5L and 0.972 for SF-6Dv2 among the subgroup (N = 150). The SF-6Dv2 had 3.7-170.1% higher efficiency than the EQ-5D-5L at detecting differences in self-reported health status, while the EQ-5D-5L was found to be 16.4% more efficient at distinguishing between respondents with diabetes and non-diabetes. CONCLUSIONS: Both the EQ-5D-5L and SF-6Dv2 showed comparable reliability, validity, and sensitivity when used in Chinese overweight and obesity populations. The two measures may not be interchangeable given the systematic difference in utility values between the EQ-5D-5L and SF-6Dv2. More research is needed to compare the responsiveness.

Cognitive behavioural therapy for functional abdominal pain disorders in children and adolescents: A systematic review of randomized controlled trials.

AIM: Although Cognitive behavioural therapy (CBT) potentially holds efficacy in addressing functional abdominal pain disorders (FAPDs) amongst children and adolescents, the persistent efficacy is uncertain. METHODS: We searched three databases to identify related randomized controlled trials (RCTs). Meta-analysis was performed using RevMan and Stata. Subgroup analyses were mainly conducted based on follow-up time. The GRADE approach was used to evaluate the certainty of the evidence. RESULTS: A total of 14 RCTs evaluating 858 patients were included. All RCTs were rated as having a high risk of bias. Compared with control groups, CBT was associated with improvement of general functional impairment (standardized mean difference (SMD) = -0.77, 95% CI [-1.12, -0.42], p < 0.05), higher treatment success (relative risk (RR) = 2.35, 95% CI [1.50, 3.69], p < 0.05), improvement of abdominal pain symptoms (SMD = -0.48, 95% CI [-0.73, -0.23], p < 0.05), QoL (SMD = 0.42, 95% CI [0.20, 0.64], p < 0.05), and psychological states (SMD = -0.95, 95% CI [-1.62, -0.27], p < 0.05). CONCLUSION: This meta-analysis provides low to moderate quality evidence that CBT could significantly improve clinical outcomes and QoL for children and adolescents with FAPDs with improvement persisting until short-term follow-up. However, there were discrepancies regarding CBT's effects at mid- and long-term follow-up across different outcomes. More high-quality and longer-duration studies are thus warranted to explore the effectiveness of CBT in the future. SYSTEMATIC REVIEW REGISTRATION ON PROSPERO: CRD42022369353.

Observation on the effect of intraoperative risk management combined with comfort nursing in gynecological laparoscopic surgery.

To explore the effect of intraoperative risk management combined with comfort nursing in gynecological laparoscopic surgery. A retrospective analysis of 384 cases of laparoscopic surgery subjects admitted from February 2019 to June 2022 in the department of gynecology in our hospital were performed and divided into the control group (n = 192) and observation group (n = 192) according to the difference care that they received. Comfort nursing was taken in the control group, and intraoperative risk management combined with comfort nursing was given in the observation group. The coagulation indexes (activated partial thromboplastin time, prothrombin time, and thrombin time), immune inflammation indexes (monocytes and neutrophils), the incidence of lower limb deep vein thrombosis (DVT) and the satisfaction of nursing care were compared between the 2 groups. After care, activated partial thromboplastin time, prothrombin time, and thrombin time in the observation group were significantly longer than those in the control group, and the counts of monocytes and neutrophils in the observation group were significantly lower than those in the control group (P < .05). The incidence of DVT in the observation group was notablely lower than those in the control group (P = .008). The nursing satisfaction in the observation group was notablely higher than those in the control group (P < .001). Intraoperative risk management combined with comfort nursing intervention can improve the level of coagulation indicators and immune inflammation indicators after gynecological laparoscopic surgery, reduce the incidence of DVT, and improve subject nursing satisfaction.

Optimization Design of Large-Aperture Primary Mirror for a Space Remote Camera.

Lightweight, high stability, and high-temperature adaptability are the primary considerations when designing the primary mirror of a micro/nano satellite remote sensing camera. In this paper, the optimized design and experimental verification of the large-aperture primary mirror of the space camera with a diameter of Φ610 mm is carried out. First, the design performance index of the primary mirror was determined according to the coaxial tri-reflective optical imaging system. Then, SiC, with excellent comprehensive performance, was selected as the primary mirror material. The initial structural parameters of the primary mirror were obtained using the traditional empirical design method. Due to the improvement of SiC material casting complex structure reflector technology level, the initial structure of the primary mirror was improved by integrating the flange with the primary mirror body design. The support force acts directly on the flange, changing the transmission path of the traditional back plate support force, and has the advantage that the primary mirror surface shape accuracy can be maintained for a long time when subjected to shock, vibration, and temperature changes. Then, a parametric optimization algorithm based on the mathematical method of compromise programming was used to optimize the design of the initial structural parameters of the improved primary mirror and the flexible hinge, and finite element simulation was conducted on the optimally designed primary mirror assembly. Simulation results show that the root mean square (RMS) surface error is less than λ/50 (λ = 632.8 nm) under gravity, 4 °C temperature rise, and 0.01 mm assembly error. The mass of the primary mirror is 8.66 kg. The maximum displacement of the primary mirror assembly is less than 10 µm, and the maximum inclination angle is less than 5″. The fundamental frequency is 203.74 Hz. Finally, after the primary mirror assembly was precision manufactured and assembled, the surface shape accuracy of the primary mirror was tested by ZYGO interferometer, and the test value was 0.02 λ. The vibration test of the primary mirror assembly was conducted at a fundamental frequency of 208.25 Hz. This simulation and experimental results show that the optimized design of the primary mirror assembly meets the design requirements of the space camera.

MAS-Net OCT: a deep-learning-based speckle-free multiple aperture synthetic optical coherence tomography.

High-resolution spectral domain optical coherence tomography (SD-OCT) is a vital clinical technique that suffers from the inherent compromise between transverse resolution and depth of focus (DOF). Meanwhile, speckle noise worsens OCT imaging resolving power and restricts potential resolution-enhancement techniques. Multiple aperture synthetic (MAS) OCT transmits light signals and records sample echoes along a synthetic aperture to extend DOF, acquired by time-encoding or optical path length encoding. In this work, a deep-learning-based multiple aperture synthetic OCT termed MAS-Net OCT, which integrated a speckle-free model based on self-supervised learning, was proposed. MAS-Net was trained on datasets generated by the MAS OCT system. Here we performed experiments on homemade microparticle samples and various biological tissues. Results demonstrated that the proposed MAS-Net OCT could effectively improve the transverse resolution in a large imaging depth as well as reduced most speckle noise.

Nanocatalysts as fast and powerful medical intervention: Bridging cochlear implant therapies and advanced modelling using Hidden Markov Models (HMMs) for effective treatment of inner ear infections.

As human population growth and waste from technologically advanced industries threaten to destabilise our delicate ecological equilibrium, the global spotlight intensifies on environmental contamination and climate-related changes. These challenges extend beyond our external environment and have significant effects on our internal ecosystems. The inner ear, which is responsible for balance and auditory perception, is a prime example. When these sensory mechanisms are impaired, disorders such as deafness can develop. Traditional treatment methods, including systemic antibiotics, are frequently ineffective due to inadequate inner ear penetration. Conventional techniques for administering substances to the inner ear fail to obtain adequate concentrations as well. In this context, cochlear implants laden with nanocatalysts emerge as a promising strategy for the targeted treatment of inner ear infections. Coated with biocompatible nanoparticles containing specific nanocatalysts, these implants can degrade or neutralise contaminants linked to inner ear infections. This method enables the controlled release of nanocatalysts directly at the infection site, thereby maximising therapeutic efficacy and minimising adverse effects. In vivo and in vitro studies have demonstrated that these implants are effective at eliminating infections, reducing inflammation, and fostering tissue regeneration in the ear. This study investigates the application of hidden Markov models (HMMs) to nanocatalyst-loaded cochlear implants. The HMM is trained on surgical phases in order to accurately identify the various phases associated with implant utilisation. This facilitates the precision placement of surgical instruments within the ear, with a location accuracy between 91% and 95% and a standard deviation between 1% and 5% for both sites. In conclusion, nanocatalysts serve as potent medicinal instruments, bridging cochlear implant therapies and advanced modelling utilising hidden Markov models for the effective treatment of inner ear infections. Cochlear implants loaded with nanocatalysts offer a promising method to combat inner ear infections and enhance patient outcomes by addressing the limitations of conventional treatments.