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Liang Xu, Miao Da Department of Psychiatry, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, People’s Republic of ChinaCorrespondence: Miao Da, Department of Psychiatry, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, 2088 East Tiaoxi Road, Huzhou, Zhejiang, People’s Republic of China, Tel +860572 2290561, Email dm2315891089@163.comBackground: Psychiatric inpatients face an increased risk of deep vein thrombosis (DVT) due to their psychiatric conditions and pharmacological treatments. However, research focusing on this population remains limited.Methods: This study analyzed 17,434 psychiatric inpatients at Huzhou Third Municipal Hospital, incorporating data on demographics, psychiatric diagnoses, physical illnesses, laboratory results, and medication use. Predictive models for DVT were developed using logistic regression, random forest, support vector machine (SVM), and XGBoost (Extreme Gradient Boosting). Feature importance was assessed using the random forest model.Results: The DVT incidence among psychiatric inpatients was 1.6%. Predictive model performance, measured by the area under the curve (AUC), showed logistic regression (0.900), random forest (0.885), SVM (0.890), and XGBoost (0.889) performed well. Logistic regression and random forest models exhibited optimal overall performance, while XGBoost excelled in recall. Significant predictors of DVT included elevated D-dimer levels, age, Alzheimer’s disease, and Madopar use.Conclusion: Psychiatric inpatients require vigilance for DVT risk, with factors like D-dimer levels and age serving as critical indicators. Machine learning models effectively predict DVT risk, enabling early detection and personalized prevention strategies in clinical practice.Keywords: psychiatric inpatients, deep vein thrombosis, machine learning, risk factors, predictive modelling

Miao Da,1 Shaoqi Mou,2 Guangwei Hou,3 Zhongxia Shen1 1Department of Sleep Medicine Center, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, People’s Republic of China; 2Department of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 3Department of Psychiatry, Yuyao Third People’s Hospital, Ningbo City, Zhejiang Province, People’s Republic of ChinaCorrespondence: Zhongxia Shen, Department of Sleep medicine center, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, 2088 East Tiaoxi Road, Huzhou, Zhejiang, People’s Republic of China, Tel +860572-2132661, Email snowszx@sina.comObjective: This study aimed to analyze the changes in insomnia characteristics among the general population and explore associated factors during the COVID-19 pandemic and post-pandemic periods.Methods: A cross-sectional study was conducted using an anonymous online survey. Questionnaires were administered at two-time points (T1: March 1– 31, 2022; T2: March 1– 31, 2023), which included an Insomnia Severity Index (ISI) and questions related to sleep risk factors, including the COVID-19 pandemic, familial influences, work and study conditions, social activities, physical health, use of electronic devices before sleep, sleep environment, food intake and exercise before sleep, etc. Insomnia characteristics were compared at two points, with logistic regression testing associations with sociodemographic covariates and risk factors. Six machine learning models were employed to develop a predictive model for insomnia, namely logistic regression, random forest, neural network, support vector machine, CatBoost, and gradient boosting decision tree.Results: The study obtained 2769 and 1161 valid responses in T1 and T2, respectively. The prevalence of insomnia increased from 23.4% in T1 to 34.83% in T2. Univariate analyses indicated the factors of the COVID-19 pandemic, familial influences, social activity, physical health, food intake, and exercise before sleep significantly differed in T1 (p< 0.05) between insomnia and non-insomnia groups. In T2, significant differences (p< 0.05) were observed between the two groups, including the factors of the COVID-19 pandemic, family structure, work and study conditions, social activity, and physical health status. The random forest model had the highest prediction accuracy (90.92% correct and 86.59% correct in T1 and T2, respectively), while the pandemic was the most critical variable at both time points.Conclusion: The prevalence and severity of insomnia have worsened in the post-pandemic period, highlighting an urgent need for effective interventions. Notably, the COVID-19 pandemic and physical health status were identified as significant risk factors for insomnia.Keywords: COVID-19, public, insomnia, risk factors, machine learning

The application of photodynamic therapy (PDT) has aimed at destroying tumor cells and microbiological control in infections. Experimentation in vitro with individual elements of a biological system enables the study of mechanism of action and provides directions to in vivo applications where cancer coexists with normal cells and microorganisms, whether opportunistic or not. The action of the combined set of elements leads to a different behavior from each of the components isolated. In this study, we created a simple model to investigate the effects of PDT (1) on the coculture of macrophages (2) and melanoma cells (3) infected with E. coli (4) under different combinations. Comparing the 4 individual elements of the system interacting with each other to all of them interacting together, we found that macrophage phagocytosis depends on the order in which the elements are exposed to PDT. That indicates the behavior of macrophages depends on their relationship with the microenvironment. Applying the photodynamic effect to each component separately or to all of them together results in different outcomes. These in vitro experiments provide pathways to understand or to design new and more efficient applications of PDT.

Guangcai Shao,1 Xiang Li,2 Meiyue Da,1 Xiaochuan Huo,3 Shuheng Zhang1 1Department of Neurosurgery, Anshan Central Hospital, Anshan, People’s Republic of China; 2Department of Neurosurgery, The First Affiliated Hospital of China Medical University, Shenyang, People’s Republic of China; 3Cerebrovascular Disease Department, Neurological Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Shuheng Zhang, Department of Neurosurgery, Anshan Central Hospital, No. 77 South Zhonghua Road, Tiedong District, Anshan, 114009, People’s Republic of China, Tel +8618804120515, Email 1223443553@qq.com Xiaochuan Huo, Cerebrovascular Disease Department, Neurological Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing, People’s Republic of China, Email huoxiaochuan@126.comBackground and Purpose: Studies on outcome comparison after endovascular treatment (EVT) for large vessel occlusion (LVO) between large artery atherosclerosis (LAA) and cardioembolism (CE) in the Asian population are scarce. We aimed to compare the baseline characteristics and clinical outcomes after EVT for anterior circulation LVO with LAA and CE in the Chinese population.Methods: Patients were selected from the ANGEL registry and divided into LAA and CE groups. The primary outcome was the 90-day modified Rankin Scale (mRS) 0– 2. The secondary outcomes were 90-day mRS distribution, 90-day mRS 0– 1, 90-day mRS 0– 3, and early neurological improvement. The safety outcomes included death, symptomatic intracranial hemorrhage, and any intracranial hemorrhage. We conducted logistic regression models with adjustments to compare the outcomes.Results: A total of 632 patients were included, of whom, 488 were in the LAA group and 144 were in the CE group. No significant difference in 90-day mRS 0– 2 was observed between LAA and CE groups (55.7%vs.43.1%, odds ratio[OR] 1.19, 95% confidence interval(CI), 0.92– 1.53, P=0.190). The LAA group exhibited a higher frequency of mRS 0– 3 compared to the CE group (69.1% vs 32.6%, OR1.32, 95% CI 1.02– 1.72, P=0.038). However, the incidence of death within 90 days did not significantly differ between the LAA and CE groups (10.9%vs.24.3%, OR0.91, 95% CI0.66– 1.25, P=0.545), nor did the occurrences of symptomatic intracranial hemorrhage(SICH) (4.5%vs.9.7%,OR1.08, 95% CI 0.65– 1.78, P=0.779) or intracranial hemorrhage(ICH) (21.9%vs.30.6%, OR 0.94, 95% CI0.71– 1.25, P=0.680). Moreover, no significant disparities were detected in other outcomes between the two groups (All P> 0.05).Conclusion: In the ANGEL registry, a higher prevalence of patients undergoing EVT for acute anterior circulation LVO with LAA was found than those with CE. However, our study revealed that the efficacy and safety of EVT remained consistent regardless of the stroke’s etiology such as LAA or CE.Keywords: large vessel occlusion, endovascular treatment, large artery atherosclerosis, cardioembolism

Xi Yang,1 Miao Da,2 Wenyuan Zhang,3 Quan Qi,4 Chun Zhang,5 Shuwen Han4 1Department of Intervention and Radiotherapy, Huzhou Central Hospital, 2Medical College of Nursing, Huzhou University, 3Department of Gynaecology, 4Department of Medical Oncology, 5Department of Infectious Diseases, Huzhou Central Hospital, Huzhou, Zhejiang Province, People’s Republic of China Abstract: Cervical cancer is a common malignant cancer among women worldwide. Changes in the vaginal microecological environment lead to multiple gynecological diseases, including cervical cancer. Recent research has shown that Lactobacillus may play an important role in the occurrence and development of cervical cancer. This review explores the role of Lactobacillus in cervical cancer. A total of 29 articles were included after identification and screening. The pertinent literature on Lactobacillus in cervical cancer from two perspectives, including clinical studies and experimental studies, was analyzed. An association network for the mechanism by which Lactobacillus induces cervical cancer was constructed. In addition, we provide direction and insight for further research on the role of Lactobacillus in cervical cancer. Keywords: CIN, cervical cancer, Lactobacillus, microorganism

The structural and dielectric properties of BaMoO4 - CaTiO3 advanced ceramics in the Radio Frequency (RF) region (< 300 MHz) were studied in the present work. X-ray diffraction and Rietveld refinement showed no evidence of secondary phases, indicating no reaction between the BaMoO4 (BMO) and CaTiO3 (CTO) phases. Complex Impedance Spectroscopy (CIS) analysis demonstrated that BMO presents greater permittivity than composites can be explained by the low densification of the composites. Nyquist diagrams were fitted employing an equivalent circuit with two associations of R-CPE (constant phase element) related to the grain and the grain boundary effects. The composites showed a decrease in the values of Temperature Capacitance Coefficient (TCC) with CTO (CaTiO3) content increase, whereas composites BMO20 and BMO40 showed TCC values equal to zero at 1 MHz. Moreover, as obtained by CIS analysis, the activation energy of thermo-activated processes decreases with CTO concentration increase. [ABSTRACT FROM AUTHOR]

Serological tests are critical tools in the fight against infectious disease. They detect antibodies produced during an adaptive immune response against a pathogen with an immunological reagent, whose antibody binding characteristics define the specificity and sensitivity of the assay. While pathogen proteins have conveniently served as reagents, their performance is limited by the natural grouping of specific and non-specific antibody binding sites, epitopes. An attractive solution is to build synthetic proteins that only contains pathogen-specific epitopes, which could theoretically reach 100% specificity. However, the genesis of de novo proteins remains a challenge. To address the uncertainty of producing a synthetic protein, we have repurposed the beta barrel of fluorescent proteins into a receptacle that can receive several epitope sequences without compromising its ability to be expressed. Here, two versions of a multiepitope protein were built using the receptacle that differ by their grouping of epitopes specific to the parasite Trypanosoma cruzi, the causative agent for Chagas disease. An evaluation of their performance as the capture reagent in ELISAs showed near-complete agreement with recommended diagnostic protocols. The results suggest that a single assay could be developed for the diagnosis of Chagas disease and that this approach could be applied to other diseases. [ABSTRACT FROM AUTHOR]

The present work shows the dielectric properties of (100-X)Ba2TiSi2O8–(X)TiO2 composites (X in wt%) at radio frequency (RF) region (< 300 MHz). X-ray diffraction and Rietveld's refinement showed the presence of Ba2(Ti7/9Si2/9)9O20 (BTSO) phase in the studied composites. To analyze the relationship between the electrical properties and the microstructure of the matrix and composites, Impedance spectroscopy (IS) was used. The applied model that best describes the behavior found in the samples is the Havriliak–Negami model. From the IS it was observed that the dielectric relative permittivity presented high values in BTS10 (X = 10%) and BTS20 (X = 20%) which allows classifying them as Colossal permittivity materials. This is an important result due to the potential for applications in new storage systems, capacitive devices and microelectronics. Nyquist diagrams were employed to evaluate the contribution of the grain and grain boundary in the electrical response of the samples and fitted employing an equivalent circuit with two associations of R-CPE (constant phase element). Temperature coefficient of capacitance (TCC) was also obtained and it was possible to observe that there was an increase in the TCC value for the compounds in all frequencies. In addition, IS demonstrated that the activation energy decreasing with TiO2 addition indicating a decrease in the resistive character of the materials. [ABSTRACT FROM AUTHOR]

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Objective: This retrospective case series aimed to assess the stability of the papilla around four single crowns supported by narrow‐diameter implants replacing all maxillary incisors. Secondary objectives included assessment of marginal bone level stability, incidence of technical and biological complications, and patient satisfaction. Materials and Methods: Individuals with four adjacent implants in maxillary incisor sites, placed with a 3 mm inter‐implant distance and rehabilitated with single crowns were included. Retrospective data were obtained from photographs and radiographs taken at the delivery of the prosthesis (baseline—T0). Patients were then recalled (≥2 years after T0) for clinical and radiographic examination (follow‐up—T1). Photographs were obtained and patient satisfaction was assessed using a visual analogue scale. Papilla height and marginal bone level were compared over time. Results: Data from 10 patients with medium‐low smile lines and rehabilitated with 40 implants, in function for 5.4 ± 1.9 years, were analyzed. The papilla height between implants (T0: 2.3 ± 0.9 mm; T1: 2.6 ± 0.7 mm; p =.011) and between tooth and implant (T0: 3.4 ± 0.9 mm; T1: 3.8 ± 0.8 mm; p =.025) increased significantly over the years. The marginal bone level remained stable over time (T0: 0.88 ± 0.57 mm; T1: 0.71 ± 0.67 mm; p =.007). Patients were highly satisfied (97.7 ± 0.3%) with the treatment outcome. Conclusion: Within its limitations, this study demonstrated that four single implant‐supported crowns placed at maxillary incisor sites may exhibit soft tissue and marginal bone stability over a long period of time. This treatment approach, however, should be restricted to few patients as it requires a proper case selection and skillful execution of all surgical and prosthetic steps. [ABSTRACT FROM AUTHOR]

This work studies the dielectric properties in the microwave region (MW) of the Ba2TiSi2O8 (BTS) ceramic with TiO2 additions and its applications as a dielectric resonator antenna (DRA). In this study, structural characterization through x-ray diffraction (XRD) is performed and the Rietveld refinement is used to confirm the phases formed. Analysis of the morphology of the materials is performed using scanning electron microscopy (SEM). The resonant frequency temperature coefficient (τf) reveals a variation from − 47.0 ppm°C−1 to + 16.5 ppm°C−1. The dielectric properties in the MW region reveal an increase in the dielectric permittivity (εr) and a decrease in the loss tangent (tanδ) of the samples. Numerical simulation shows good fits of the experimental data, with gain and directivity standing out, ranging from 4 dBi to 6 dBi and radiation efficiency below 80%. The results demonstrate that the samples can operate in C-band electronics, Wi-Fi devices, meteorological radar systems, etc. [ABSTRACT FROM AUTHOR]

Copyright of Revista Caatinga is the property of Revista Caatinga and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Clinically, the body mass index remains the most frequently used metric of overall obesity, although it is flawed by its inability to account for different adipose (i.e., visceral, subcutaneous, and inter/intramuscular) compartments, as well as muscle mass. Numerous prior studies have demonstrated linkages between specific adipose or muscle compartments to outcomes of multiple diseases. Although there are no universally accepted standards for body composition measurement, many studies use a single slice at the L3 vertebral level. In this study, we use computed tomography (CT) studies from patients in The Cancer Genome Atlas (TCGA) to compare current L3-based techniques with volumetric techniques, demonstrating potential limitations with level-based approaches for assessing outcomes. In addition, we identify gene expression signatures in normal kidney that correlate with fat and muscle body composition traits that can be used to predict sex-specific outcomes in renal cell carcinoma.

Copyright of HOLOS is the property of Instituto Federal do Rio Grande do norte - IFRN and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Summary: Background: MET exon14 skipping mutations (METex14) is an established actionable driver oncogene of non-small-cell lung cancer (NSCLC). While ensartinib is a known second-generation tyrosine kinase inhibitor with primary activity against ALK translocation, it is also classified as a type Ia MET inhibitor. We have previously shown anti-tumor activity against METex14 positive NSCLC both in vivo and in vitro. The EMBRACE trial aims to evaluate the clinical efficacy and safety of ensartinib for treatment of METex14 positive NSCLC. Methods: This is a multicenter single arm phase II investigator-initiated study that enrolled METex14 positive lung cancer after failing first line chemotherapy and/or immunotherapy. Eligible patients received ensartinib 225 mg orally once daily in a continuous 28-day treatment cycle until disease progression, unacceptable side effect, or death. Primary endpoint was investigator-assessed objective response rate (ORR), and the secondary end point included disease control rate (DCR), progression-free survival (PFS), duration of response (DoR) and safety profiles. The study was registered with the Chinese Clinical Trial Registry (ChiCTR2100048767). Findings: From July 2021 to February 2024, a total of 31 patients were enrolled and received ensartinib. Median follow-up time of the 30 evaluable patients was 9.2 months (95% Confidence Interval [CI], 6.3-not estimable). The ORR was 53.3% (16/30; 95% CI, 35.5–71.2) and DCR was 86.7% (26/30; 95% CI, 74.5–98.8). Median PFS was 6.0 months (95% CI, 3.0–8.8) and median DoR was 7.9 months (95% CI, 4.8–8.7). Adverse events (AEs) were reported in 24 patients (80%), with 7 (23.3%) of grade 3. The most common AEs were rash (14/30, 46.7%), followed by anemia (7/30, 23.3%), increased ALT (7/30, 23.3%), increased AST (7/30, 23.3%), and pruritus (6/30, 20%). No serious adverse events or treatment-related deaths occurred. Importantly, the exploratory ctDNA analysis indicates that clearance of circulating tumor DNA (ctDNA) at four weeks treatment was associated with more favorable treatment outcomes comparing with patients having positive ctDNA. Interpretation: Ensartinib has a promising anti-tumor activity and manageable safety in previously treated patients with METex14 positive lung cancer. Funding: This work was supported by the National Natural Science Foundation of China [82370028, 82422001] and the CSCO-MET Aberrant Solid Tumor Research Grant [Y-2022METAZMS-0066].