bluuebunny/crossref_metadata_2025 huggingface dataset:
Degradation Diagnosis and Control Strategy for a Diesel Hybrid Powertrain Considering State of Health
Authors: Tang Jingxian , Liu Bolan , Fan Wenhao , Zhong Dawei , Liu Liang
Published: October 2024

Hybrid electric vehicles (HEV) are a practical choice for energy saving in the transportation field. Degradation diagnosis (DD) is one of the main methods to guarantee system robustness. However, the classical DD methods cannot meet the requirements of HEV due to their system complexity. In this study, a novel Prognostics and Health Management (PHM) study was conducted to face these challenges. Firstly, a physical P2 HEV model with a rule-based controller was built, and its diesel engine sub-model was simplified by a neural network (NN) to ensure real-time performance of the degradation prognostics. Secondly, a degradation prognostics method based on gray relation analysis–principal component analysis (GRA-PCA) was illustrated, which could confirm degradation 2 s after the health index fell below the threshold. Finally, a degradation tolerance strategy based on long short term memory–model predictive control (LSTM-MPC) was performed to optimize vehicle speed tracing with minimal energy consumption and was validated by three cases. The result shows that the energy consumption stayed nearly unchanged for the engine degradation case. For the battery degradation case, the tracing error was reduced by 11.7% with 4.3% more energy consumption. For combined degradation, the strategy achieved a 12.3% tracing error reduction with 3.7% more energy consumption. The suggested PHM method guaranteed vehicle power performance under degradation situations.
Real-Time Forest Fire Detection with Lightweight CNN Using Hierarchical Multi-Task Knowledge Distillation
Authors: El-Madafri Ismail , Peña Marta , Olmedo-Torre Noelia
Published: October 2024

Forest fires pose a significant threat to ecosystems, property, and human life, making their early and accurate detection crucial for effective intervention. This study presents a novel, lightweight approach to real-time forest fire detection that is optimized for resource-constrained devices like drones. The method integrates multi-task knowledge distillation, transferring knowledge from a high-performance DenseNet201 teacher model that was trained on a hierarchically structured wildfire dataset. The dataset comprised primary classes (fire vs. non-fire) and detailed subclasses that account for confounding elements such as smoke, fog, and reflections. The novelty of this approach lies in leveraging knowledge distillation to transfer the deeper insights learned by the DenseNet201 teacher model—specifically, the auxiliary task of recognizing the confounding elements responsible for false positives—into a lightweight student model, enabling it to achieve a similar robustness without the need for complex architectures. Using this distilled knowledge, we trained a MobileNetV3-based student model, which was designed to operate efficiently in real-time while maintaining a low computational overhead. To address the challenge of false positives caused by visually similar non-fire elements, we introduced the Confounding Element Specificity (CES) metric. This novel metric, made possible by the hierarchical structure of the wildfire dataset, is unique in its focus on evaluating how well the model distinguishes actual fires from the confounding elements that typically result in false positives within the negative class. The proposed approach outperformed the baseline methods—including single-task learning and direct multi-task learning—achieving a primary accuracy of 93.36%, an F1-score of 91.57%, and a higher MES score, demonstrating its enhanced robustness and reliability in diverse environmental conditions. This work bridges the gap between advanced deep learning techniques and practical, scalable solutions for environmental monitoring. Future research will focus on integrating multi-modal data and developing adaptive distillation techniques to further enhance the model’s performance in real-time applications.
Deciphering Biosynthesis Mechanism and Solution Properties of Cyclic Amylopectin
Authors: Li Ruolan , Shi Yaning , Miao Ming
Published: October 2024

A novel cyclic amylopectin (CA) was synthesized from waxy corn starch (WCS) using Bacillus stearothermophilus branching enzyme (BstBE), providing insights into its biosynthesis mechanism and solution properties. During the first 4 h, BstBE partially cyclized WCS, producing 68.20% CA with a significantly reduced molecular weight (MW), from 8.98 × 10⁶ to 3.19 × 10⁴ g/mol and a lower polymer dispersity index (PDI), decreasing from 1.97 to 1.12. This resulted in a uniform CA structure with shorter chain lengths, particularly increasing DP 3–13, especially DP 7–9. Over the subsequent 4–12 h, the PDI slightly increased to 1.18 as the CA content decreased to 50.48%, with an increase in small ring structures (DP 6–12) of CA, suggesting both ring-opening and ring-downsizing due to continued enzyme catalysis. These results propose a two-stage reaction model: initial cyclization followed bybranching and secondary cyclization. CA exhibited excellent solution properties, with BE-4 and BE-12 samples demonstrating high solubility (≥65 g/100 mL), low viscosity (<0.01 Pa·s), and over 90% light transmittance after 14 days at 4 °C, highlighting its broad application potential.
Research Progress on Tofu Coagulants and Their Coagulation Mechanisms
Authors: Geng Yuhan , Du Xin , Jia Rui , Zhu Yi , Lu Yuhao , Guan Xiangfei , Hu Yuehan , Zhu Xinyu , Zhang Minlian
Published: October 2024

Tofu has captivated researchers’ attention due to its distinctive texture and enrichment in nutritional elements, predominantly soybean protein. Coagulants play a critical role in promoting coagulation during tofu production, directly influencing its texture, quality, and physicochemical characteristics. Currently, the impact of coagulant characteristics on coagulation, as well as the underlying mechanisms, remain unclear. This review provides a summary of research progress on salt coagulants, acid coagulants, enzyme coagulants, novel coagulants, polysaccharide additives, and various coagulant formulations. The coagulation mechanisms of various coagulants are also discussed. Accordingly, this paper seeks to offer reliable theoretical guidance for the development of novel coagulants and the realization of fully automated tofu production.
Component Distribution, Shear-Flow Behavior, and Sol–Gel Transition in Mixed Dispersions of Casein Micelles and Serum Proteins
Authors: Gholamian Hossein , Loginov Maksym , Famelart Marie-Hélène , Rousseau Florence , Garnier-Lambrouin Fabienne , Gésan-Guiziou Geneviève
Published: October 2024

The shear flow and solid–liquid transition of mixed milk protein dispersions with varying concentrations of casein micelles (CMs) and serum proteins (SPs) are integral to key dairy processing operations, including microfiltration, ultrafiltration, diafiltration, and concentration–evaporation. However, the rheological behavior of these dispersions has not been sufficiently studied. In the present work, dispersions of CMs and SPs with total protein weight fractions (ωPR) of 0.021–0.28 and SP to total protein weight ratios (RSP) of 0.066–0.214 and 1 were prepared by dispersing the respective protein isolates in the permeate from skim milk ultrafiltration and then further concentrated via osmotic compression. The partition of SPs between the CMs and the dispersion medium was assessed by measuring the dry matter content and viscosity of the dispersion medium after separating it from the CMs via ultracentrifugation. The rheological properties were studied at 20 °C via shear rheometry, and the sol–gel transition was characterized via oscillatory measurements. No absorption of SPs by CMs was observed in dispersions with ωPR = 0.083–0.126, regardless of the RSP. For dispersions of SPs with ωPR ≤ 0.21, as well as the dispersion medium of mixed dispersions with ωPR = 0.083–0.126, the high shear- rate-limiting viscosity was described using Lee’s equation with an SP voluminosity (vSP) of 2.09 mL·g−1. For the mixed dispersions with a CM volume fraction of φCM ≤ 0.37, the relative high shear-rate-limiting viscosity was described using Lee’s equation with a CM voluminosity (vCM) of 4.15 mL·g−1 and a vSP of 2.09 mL·g−1, regardless of the RSP. For the mixed dispersions with φCM > 0.55, the relative viscosity increased significantly with an increasing RSP (this was explained by an increase in repulsion between CMs). However, the sol–gel transition was independent of the RSP and was observed at φCM ≈ 0.65.
Numerical Method for the Variable-Order Fractional Filtration Equation in Heterogeneous Media
Authors: Alimbekova Nurlana , Bakishev Aibek , Berdyshev Abdumauvlen
Published: October 2024

This paper presents a study of the application of the finite element method for solving a fractional differential filtration problem in heterogeneous fractured porous media with variable orders of fractional derivatives. A numerical method for the initial-boundary value problem was constructed, and a theoretical study of the stability and convergence of the method was carried out using the method of a priori estimates. The results were confirmed through a comparative analysis of the empirical and theoretical orders of convergence based on computational experiments. Furthermore, we analyzed the effect of variable-order functions of fractional derivatives on the process of fluid flow in a heterogeneous medium, presenting new practical results in the field of modeling the fluid flow in complex media. This work is an important contribution to the numerical modeling of filtration in porous media with variable orders of fractional derivatives and may be useful for specialists in the field of hydrogeology, the oil and gas industry, and other related fields.
Older Age as a Predictor of Ongoing Active Changes in Follow-Up Cardiac Magnetic Resonance in Children with Acute Myocarditis
Authors: Małek Łukasz A. , Gwiazda Anna , Barczuk-Falęcka Marzena
Published: October 2024

Background/Objectives: Cardiac magnetic resonance (CMR) is used to diagnose and monitor the course of acute myocarditis in adults and children. This study aimed to assess the frequency of persistent inflammation at follow-up CMR and to look for predictors of ongoing active changes in CMR in children with myocarditis. Methods: This retrospective study included 31 children (median age 15 years, 68% male) with clinically and CMR-diagnosed acute myocarditis who underwent baseline and follow-up CMR at a median of 6 months. Old and new Lake Louise criteria were compared. Results: A complete resolution of changes was observed in four patients (13%) at follow-up, according to both criteria. Seven patients (23%) presented ongoing active changes, and twenty (64%) showed a persistent scar according to the old Lake Louise criteria. When the new Lake Louise criteria were used, an additional two patients (6%) were found to have persistent active changes instead of a persistent scar. Patients with persistent inflammation (nine patients, 29%) were older than those who showed recovery. None of the patients below 14 years of age presented active changes on their follow-up CMR and all the patients who showed inflammation were between 14 and 17 years old. Conclusions: Pediatric myocarditis can lead to persistent active changes in CMR beyond a 6-month follow-up in over a fifth of patients. The application of new Lake Louise criteria further increases that number compared to the old criteria. The only predictor of persistent inflammatory changes in CMR is older age.
Tetris Genioplasty 2.0: The Evolution of the Technique
Authors: Ramieri Valerio , Latini Linda , Gabriele Guido , Fantozzi Vittoria , Marianetti Tito Matteo , Cascino Flavia
Published: October 2024

The chin is a key feature in facial aesthetics, contributing essential projection to the profile. Proper alignment ensures facial harmony, while misalignments can create irregularities that may require surgical correction. Over time, various genioplasty techniques have been developed to address a broad range of asymmetries. Tetris Genioplasty is a novel osteotomy technique designed to improve cases where the skeletal midline does not align with the dental midline, delivering significant corrective results. Building on extensive experience with patients presenting this condition, this technical note introduces Tetris Genioplasty 2.0, a refined version of the original “Tetris” Osteotomy. This enhanced technique minimizes the presence of edges during bone segment realignment, resulting in a more seamless facial profile. This study aims to detail the advancements in the Tetris Genioplasty technique, demonstrating how the 2.0 modification offers an optimized approach to improving facial symmetry and aesthetic outcomes in complex midline discrepancies.
Bone Regeneration After Nail Distraction Osteogenesis: Review of Current Knowledge and Application Combined with a Case Report with Radiological, Histological, and Electron Microscopic Analysis
Authors: Maai Nader , Frank Florian A. , Schildhauer Thomas A. , Königshausen Matthias
Published: October 2024

Background: Limb-lengthening surgeries via nail distraction osteogenesis (DO) have become more popular lately. This provides an opportunity to study human bone that has grown longer. Case details: We present a case of a 22-year-old male who underwent internal upper and lower leg lengthening by 12 cm and 6 cm, respectively, under full weight bearing. He requested bilateral femoral shortening by 4 cm using a shortening nail, 24 months after the index surgery. The regenerated bones were harvested and analyzed. Results: Good bone quality and well-organized structure were observed in the regenerated bones compared with the native human adult bony architecture. Conclusions: This case demonstrates that bilateral bone regeneration during DO with a nail can result in a bone morphology that is comparable to that of native adult human bony macro- and micro-anatomy. This supports the effectiveness and potential of this surgical approach for limb lengthening and shortening procedures, although more investigations are necessary in this regard.
Work Environment and Socio-Demographic Factors of Psychiatric Nurses: A Cross-Sectional Study in Hospitals of Eastern Saudi Arabia
Authors: Al Shayeb Husain A. , Aboshaiqah Ahmad E. , Alanazi Naif H.
Published: October 2024

The work environment in healthcare institutions, especially in psychiatric hospitals, plays a crucial role in shaping the experiences and efficacy of nurses’ performance. This environment is influenced by various factors such as facility design, resource availability, workplace culture, support systems, and interpersonal dynamics. Understanding the intricate dynamics of the work environment in psychiatric hospitals is essential for ensuring the provision of high-quality mental healthcare services and enhancing the overall quality of life for both patients and healthcare providers, including nurses. However, the work environment of psychiatric nurses in the eastern region of Saudi Arabia is still inadequately understood. Objective: This study aimed to examine the work environment of nurses working in psychiatric hospitals in the eastern region of Saudi Arabia. Method: A cross-sectional research design was employed on a sample of 346 nurses using a non-probability convenience sampling technique. The survey method was adopted with the Practice Environment Scale of the Nursing Work Index (revised, Arabic version). Results: The study found a significant association between psychiatric nurses’ work environment and their socio-demographic characteristics. Demographic factors, such as age and years of experience, were identified as influencing factors of nurses’ perceptions of their work environment. Younger nurses and those with fewer years of experience reported greater job satisfaction when their work environment was positive. Conclusions: This study underscores the critical importance of maintaining a supportive work environment for psychiatric nurses due to its possible direct influence on their job satisfaction, work performance, quality of life, and overall well-being. Tailoring interventions to address demographic variations in perceptions of the work environment can enhance the well-being of nurses and improve the quality of care provided to psychiatric patients. These findings contribute to the body of knowledge on psychiatric nursing and have clinical implications for healthcare institutions that aim to optimize their work environments and retain a skilled and satisfied nursing workforce.
The Effects of Systemic Tranexamic Acid Administration on Drainage Volume, Duration of Drain Placement, and Length of Hospital Stay in Skin- and Nipple-Sparing Mastectomies with Immediate Expander-Based Breast Reconstruction
Authors: Guggenheim Leon , Magni Sara , Catic Armin , Pagnamenta Alberto , Harder Yves , Schmauss Daniel
Published: October 2024

Background: Skin- (SSM) and nipple-sparing (NSM) mastectomies are frequently performed surgeries with a considerable risk for post-operative hematoma or seroma. Tranexamic acid (TXA) is a potent antifibrinolytic drug commonly used in many surgical fields but rather novel in plastic and, specifically, breast surgery. This study investigates the influence of TXA in patients undergoing SSM or NSM with expander-based reconstruction (EbR) on post-operative outcomes. Methodology: A retrospective study was conducted on 132 patients undergoing uni- or bilateral SSM or NSM with EbR between May 2015 and March 2022. Patients receiving systemic TXA treatment for 48 h following a standardized protocol were compared to those who received no treatment. Multivariable linear regression was performed to identify influencing factors and quantify their effect on drainage volume, duration of drain placement, length of hospital stay, post-operative bleeding, and seroma formation. Results: The 132 patients underwent a total of 155 mastectomies (72 in the TXA group, 83 in the control group). TXA significantly reduced drainage volume (−22.3 mL, p = 0.011). Duration of drain placement and length of hospital stay were significantly shorter in the TXA group (p < 0.001 and p = 0.001). No significant side effects were reported. Conclusion: TXA is a safe drug if administered respecting the well-defined contraindications. Systemic TXA administration significantly reduces drainage volume in patients undergoing SSM or NSM and should encourage surgeons to reconsider using drains in post-operative protocols. Duration of drain placement and length of hospital stay were significantly reduced in the TXA group but other factors like resection weight might have a more substantial impact.
Pulmonary Progressive Fibrosis in Rheumatoid Arthritis and Primary Sjogren Syndrome: Similarities and Differences
Authors: Manfredi Andreina , Venerito Vincenzo , Cazzato Massimiliano , Sambataro Gianluca , Zanini Umberto , Gozzi Filippo , Gentileschi Stefano , Canofari Claudia , Atzeni Fabiola , Cassone Giulia , Iannone Florenzo , Laurino Elenia , Vancheri Carlo , Luppi Fabrizio , Cerri Stefania , Sebastiani Marco
Published: October 2024

Background: Progressive pulmonary fibrosis (PPF) has been associated with a worse prognosis, even when interstitial lung disease (ILD) is related to rheumatic diseases. Since many differences are detectable among rheumatic diseases in prevalence and features of ILD, we aimed to investigate features of PPF in different rheumatic diseases, namely rheumatoid arthritis (RA) and primary Sjogren’s syndrome (pSS). Methods: In an Italian multicentre cross-sectional study, consecutive pSS or RA patients with a diagnosis of ILD from at least two years were enrolled. For each patient, demographic, clinical, and serological data, other than chest high-resolution computed tomography and lung function tests, were recorded at the enrolment and after 2 years. Results: Among 232 patients, namely 156 RA-ILD and 76 pSS-ILD, a PPF was recorded in 38.8% of cases, without differences between the two diseases. Analysing patients with a PPF, usual interstitial pneumonia was significantly more frequent in RA than pSS (71.4% and 44.4%, respectively; p = 0.019), while ILD preceded the diagnosis of the rheumatic disease in 29.1% of RA and 89.5% of pSS (p < 0.001). Finally, RA patients were significantly younger than pSS at the diagnosis of the rheumatic disease (p < 0.001). Conclusions: In conclusion, although there is a similar prevalence of PPF in RA-ILD and pSS-ILD, we demonstrated for the first time that the two conditions differ in terms of radiological patterns and demographic and clinical features, suggesting that specific factors related to such diseases might influence the lung involvement over time. Prospective studies could investigate if these specificities could induce different responses to the treatment.
Clinical Recommendations for Managing Genitourinary Adverse Effects in Patients Treated with SGLT-2 Inhibitors: A Multidisciplinary Expert Consensus
Authors: Gorgojo-Martínez Juan J. , Górriz José L. , Cebrián-Cuenca Ana , Castro Conde Almudena , Velasco Arribas María
Published: October 2024

Background: SGLT-2 inhibitors (SGLT-2is) are considered to be a first-line treatment for common conditions like type 2 diabetes, chronic kidney disease, and heart failure due to their proven ability to reduce cardiovascular and renal morbidity and mortality. Despite these benefits, SGLT-2is are associated with certain adverse effects (AEs), particularly genitourinary (GU) events, which can lead to treatment discontinuation in some patients. Preventing these AEs is essential for maintaining the cardiorenal benefits of SGLT-2is. Methods: A multidisciplinary panel of experts from various medical specialties reviewed the best available evidence on GU AEs associated with SGLT-2i therapy. The panel focused on the prevention and management of genital mycotic infections, urinary tract infections, and lower urinary tract symptoms in both the general population and high-risk groups, such as renal and cardiac transplant recipients. Results: The panel found that permanent discontinuation of SGLT-2is results in a rapid loss of cardiorenal benefits. Preventive strategies, including identifying high-risk patients before initiating therapy, are critical for minimizing GU AEs. Clinical trials show that most GU infections linked to SGLT-2i therapy are mild to moderate in severity and typically respond to standard antimicrobial treatment, without the need for discontinuation. Conclusions: Routine discontinuation of SGLT-2is due to GU AEs is not recommended. Therapy should be resumed as soon as possible, unless severe or persistent conditions contraindicate their use, in order to preserve the significant benefits of SGLT-2is in reducing cardiovascular and renal events
Sequelae of Acute Pulmonary Embolism: From Post-Pulmonary Embolism Functional Impairment to Chronic Thromboembolic Disease
Authors: Fountain John H. , Peck Tyler J. , Furfaro David
Published: October 2024

Among survivors of acute pulmonary embolism (PE), roughly half report persistent dyspnea, impaired functional status, and decreased quality of life. Post-pulmonary embolism syndrome (PPES) is a broad condition which has been increasingly recognized in recent years and may be due to post-pulmonary embolism functional impairment, chronic thromboembolic disease, or the most severe long-term complication of PE, chronic thromboembolic pulmonary hypertension. Despite guideline recommendations for appropriate follow-up for post-pulmonary embolism patients, PPES remains underrecognized and diagnostic testing underutilized. Patients with symptoms suggestive of PPES at follow-up should undergo a transthoracic echocardiogram to screen for the presence of pulmonary hypertension; additional testing, such as a ventilation/perfusion scan, right heart catheterization, and cardiopulmonary exercise testing may be indicated. The pathophysiology of post-pulmonary embolism syndrome is complex and heterogeneous. In chronic thromboembolic pulmonary hypertension, the pathophysiology reflects persistent pulmonary arterial thrombi and a progressive small vessel vasculopathy. In patients with chronic thromboembolic disease or chronic thromboembolic pulmonary hypertension, medical therapy, balloon pulmonary angioplasty, or pulmonary thromboendarterectomy should be considered, and in cases of chronic thromboembolic pulmonary hypertension, pulmonary thromboendarterectomy significantly improves mortality. In all causes of post-pulmonary embolism syndrome, rehabilitation is a safe treatment option that may improve quality of life.
Evaluating Maternal Risk Factors Impacting Fetal Intima–Media Thickness of the Abdominal Aorta Measured at 28 Weeks of Gestation
Authors: Belovan Biliana , Popa Zoran Laurentiu , Ratiu Adrian , Citu Cosmin , Citu Ioana Mihaela , Sas Ioan
Published: October 2024

Background and Objectives: Cardiovascular disease risk can exist in utero, influenced by maternal health factors. This study evaluates maternal characteristics and biochemical markers that correlate with the fetal intima–media thickness (IMT), aiming to identify interventions that could minimize prenatal influences on later cardiovascular disease. Methods: In this observational study approved by the Institutional Review Board at The Obstetrics and Gynecology Clinic of the Timisoara Municipal Emergency Hospital, we recruited pregnant women aged 15–40 years, divided into groups based on their lipid profiles and gestational diabetes risk. The data collection had, as its main focus, ultrasound measurements, along with demographic, clinical, and biochemical parameters. The IMT of the fetal abdominal aorta was measured at 28 weeks of gestation. Results: Notable differences were observed in the TNF-alpha levels (8.66 ± 3.87 pg/mL vs. 4.96 ± 3.37 pg/mL), hsCRP levels (0.94 ± 0.46 mg/L vs. 0.60 ± 0.52 mg/L), and the area under the curve (AUC) for hsCRP at 0.738 with a sensitivity of 84.41% and specificity of 79.01%. Compound score 2, integrating inflammatory markers and lipid profiles, exhibited a good diagnostic accuracy (AUC = 0.789) with a sensitivity of 86.35% and specificity of 81.42%. A regression analysis indicated strong associations of TNF-alpha and hsCRP with an increased fetal IMT, suggesting potential early markers of cardiovascular risk, presenting hazard ratios (HRs) of 2.21 (95% CI: 1.15–5.28) and 2.87 (95% CI: 1.11–4.23), respectively, both with p-values of less than 0.0001. Compound score 2 further indicated an increased risk (HR = 4.27; 95% CI: 1.19–8.32). Conclusions: Statistically significant correlations were found between an increased fetal IMT and elevated maternal inflammatory markers (TNF-alpha and hsCRP), suggesting that these could serve as early indicators of cardiovascular risk. This study supports the potential for targeted prenatal interventions to reduce cardiovascular risk factors from the fetal stage, emphasizing the importance of monitoring inflammatory markers in pregnant women at risk.
The Impact of Comorbidity and Age on the Risk of Hospitalization and Mortality in Patients with Previous COVID-19 Infection—Based on Nationwide Data
Authors: Lund Ken , Nielsen Jan , Kjeldsen Simon , Póvoa Pedro , Knudsen Torben , Nørgård Bente Mertz , Kjeldsen Jens
Published: October 2024

Objectives: The influence of comorbidity on long-term hospitalization and mortality after COVID-19 in adults (40–59 years) and older adults (≥60 years) is yet to be explored. Methods: This is a Danish population-based cohort study of patients with a first-time positive PCR test for COVID-19 from 1 March 2020, to 28 February 2022 (N = 1,034,103). Exposed cohorts were patients with 1) a Charlson Comorbidity Index (CCI) score of 1–2 and 2) a CCI score ≥3, who were compared to patients without comorbidity (CCI of zero) within the groups of adults (67.9%) and older adults (32.1%) for the risk of hospitalization and mortality. Next, within the age groups, each disease category of the CCI was considered as an exposed cohort and compared to patients who did not have the specific disease of interest. Adjusted hazard ratios (HR) for hospitalization and mortality were estimated by Cox regression models adjusted for confounders. Results: The highest HRs were in adult patients with a CCI score of ≥3. The adjusted HR was 4.54 (95%CI: 4.38–4.70) for hospitalization, and among older adults it was 3.05 (95%CI: 2.99–3.11). The adjusted HR for mortality among adults with a CCI score ≥3 was 21.04 (95%CI: 18.86–23.47), and the adjusted HR for mortality among older adults was 4.61 (95%CI: 4.44–4.78). The underlying disease influenced the risk estimates among adults and older adults, and “dementia” had the highest impact on mortality. Conclusion: A CCI score of 1 or above increases the risk of hospitalization and mortality up to 2 years after a positive PCR test of COVID-19 for adults and older adults. Further, the type of underlying disease in older adults highly influences the risk of hospitalization and mortality.
Standardized 3D Transoesophageal Echocardiography Manoeuvre for Enhanced Tenting Height Evaluation During Transcatheter Mitral Valve Edge-to-Edge Repair
Authors: Bonanni Michela , Trimarchi Giancarlo , Benedetti Giovanni , D’Agostino Andreina , Iuliano Giuseppe , Manzo Rachele , Capasso Rosangela , Cerone Elisa , Paradossi Umberto , Berti Sergio , Mariani Massimiliano
Published: October 2024

Background: Transcatheter treatments for structural heart disease, including edge-to-edge mitral valve repair (mTEER), heavily rely on transoesophageal echocardiography (TOE) for pre-procedural assessment and guidance. Trans-septal puncture (TSP) is one of the first key steps of such procedures, with two-dimensional (2D) TOE often providing suboptimal imaging. Three-dimensional (3D) echocardiography could overcome the limitations of 2D TOE and improve the assessment of tenting height. Methods: This single-centre, retrospective study included 64 patients who underwent mTEER between October 2023 and April 2024. Tenting height during TSP was assessed by 2D TOE in mid-oesophageal (ME) four-chamber view and by 3D TOE after the acquisition of a 3D volume, including the interatrial septum, aortic valve, and mitral valve, and subsequent multiplanar reconstruction (MPR). A total of 100 TSP attempts with 2D and 3D TOE were evaluated. Results: Procedural success was obtained in 92.2% of cases. There was a statistically significant difference between 2D and 3D measurements (2D: 4.36 ± 0.61 cm, MPR: 4.59 ± 0.63 mm2, p < 0.001), despite good correlation (r = 0.880, p < 0.001). The difference between 2D and 3D tenting height measurements differed significantly between patients with optimal and suboptimal 2D image windows (p < 0.001). There was no significant difference in septal puncture success between optimal 2D and 3D data (p = 0.942). Conclusions: Adopting 3D TOE with multiplanar reconstruction for assessing tenting height in mTEER procedures offers significant advantages over traditional 2D TOE. Enhanced visualization, accuracy, and potential for standardization improve procedural outcomes and patient safety, making 3D TOE integration into routine practice highly beneficial and recommended.
A Longitudinal Study Investigating Whether Chronic Rhinosinusitis Influences the Subsequent Risk of Developing Dementia
Authors: Son Dae-Soon , Kim Jae-In , Kim Dong-Kyu
Published: October 2024

Background/Objectives: Numerous studies have explored the association between chronic rhinosinusitis (CRS) and cognitive decline. However, whether CRS is an independent risk factor for the development of dementia remains unclear. Thus, this retrospective cohort study sought to examine the potential association between CRS and increased incidence and risk of dementia by utilizing a representative population-based cohort dataset. Methods: In this study, we identified 2126 patients with CRS aged >55 years and matched them with 8504 controls to assess the incidence and risk of dementia. Results: We found that the incidence of all-cause dementia in CRS patients was 0.125 per 1000 person-years. The risk of developing all-cause dementia events (adjusted hazard ratio [HR] = 1.0, 95% confidence interval = 0.8–1.3) also did not differ significantly between the control group and the CRS group, irrespective of the CRS phenotype. Subgroup analysis also showed no increased adjusted HR for developing Alzheimer’s disease (0.9, 0.7–1.2), Parkinson’s disease (0.9, 0.5–1.4), and other types of dementia (1.0, 0.7–1.4) in the CRS group compared to the control group. Conclusions: Therefore, the present study demonstrated that patients over 55 years of age with CRS did not exhibit an increased incidence or risk of dementia compared to individuals without CRS.
The Impact of Cryptocurrency Exposure on Corporate Tax Avoidance Among US Listed Companies
Authors: Cui Junnan , Gao Li , Wang Yufei
Published: October 2024

This study examined the association between corporate cryptocurrency activities and tax avoidance outcomes, utilizing data from US public firms covering the period from 2015 to 2023. Financial data were sourced from Compustat, while details regarding cryptocurrency activities were manually extracted from 10-K and 10-Q filings. Our analysis employed a fixed-effects regression model to examine the impact of these activities on cash effective tax rates (ETR). The findings indicate that firms engaged in cryptocurrency activities tend to have a lower ETR compared with those without such involvement. Notably, this effect was predominantly observed in companies directly engaged in cryptocurrency activities, such as accepting cryptocurrency as a payment method or actively trading cryptocurrency on an exchange platform. In contrast, firms involved in crypto mining or initial coin offerings did not exhibit a similar association. Our findings offer significant regulatory insights for governance bodies concerned with the implications of corporate cryptocurrency activities on tax strategies.
Improving Systematic Generalization of Linear Transformer Using Normalization Layers and Orthogonality Loss Function
Authors: Park Taewon , Kim Hyun-Chul
Published: October 2024

A Linear Transformer linearizes the attention mechanism of the vanilla Transformer architecture, significantly improving efficiency and achieving linear theoretical complexity with respect to sequence length. However, few studies have explored the capabilities of the Linear Transformer beyond its efficiency. In this work, we investigate the systematic generalization capability of the Linear Transformer, a crucial property for strong generalization to unseen data. Through preliminary experiments, we identify two major issues contributing to its unstable systematic generalization performance: (i) unconstrained norms of Queries and Keys, and (ii) high correlation among Values across the sequence. To address these issues, we propose two simple yet effective methods: normalization layers for Queries and Keys, and an orthogonality loss function applied to Values during training. In experiments, we demonstrate that applying these methods to the Linear Transformer significantly improves its stability and systematic generalization performance across several well-known tasks. Furthermore, our proposed methods outperform the vanilla Transformer on specific systematic generalization tasks, such as the sort-of-CLEVR and SCAN tasks.
Comprehensive Study of CoCrCuNi High-Entropy Alloys: Effects of Preparation, Heat Treatment, Computational Simulation, and Alloying Elements
Authors: Zhao Fachang , Zhao Xingming , Jiang Tianzhi , Zhao Rongda , Wu Fufa
Published: October 2024

High-entropy alloys have attracted widespread attention from researchers worldwide due to their unique microstructure and outstanding mechanical properties, making them a prominent focus in the field of metallurgy. Among the various high-entropy alloys, the CoCrCuNi system was among the first alloys discovered, and it has shown significant progress in development. By employing different preparation and heat treatment processes, researchers have obtained alloys with diverse performances. The addition of various alloying elements or other components can lead to pronounced variations in the properties of CoCrCuNi high-entropy alloys. This work provides a comprehensive review of recent research progress on CoCrCuNi high-entropy alloys. It covers the preparation methods, thermodynamic and kinetic simulation calculations, as well as discussions on heat treatment processes and the influence of alloying elements on the microstructure and mechanical properties of CoCrCuNi high-entropy alloys. Finally, the review concludes with a prospective analysis and predictions for the potential applications and future directions in developing novel high-entropy alloys.
Ingesting Stellera chamaejasme Significantly Impacts the Gastrointestinal Tract Bacterial Community and Diversity in Plateau Zokors (Eospalax baileyi)
Authors: Guo Jialong , Wang Haijing , Jiang Feng , Liu Daoxin
Published: October 2024

Intestinal bacteria are considered the “second genome” of the host, playing a crucial physiological role in assisting the host in degrading plant secondary compounds, nutrient absorption, immune regulation, and other aspects. To explore the effects of Stellera chamaejasme on the bacterial community of the gastrointestinal tract of plateau zokor, this study uses the 16S rRNA gene high-throughput sequencing technology, and the biodiversity and the community structure of gut bacteria in different gastrointestinal tract segments (the stomach and cecum) of plateau zokors. The results showed that at the phylum level, the dominant flora in the stomach and cecum of plateau zokors before and after ingesting Stellera chamaejasme were Firmicutes and Bacteroidetes. In plateau zokors that ingested Stellera chamaejasme, the relative abundance of Firmicutes in the stomach and cecum decreased, the relative abundance of Bacteroidetes increased, and the ratio of Firmicutes to Bacteroidetes decreased. After plateau zokors ingested Stellera chamaejasme, the ACE index demonstrated a significant reduction in the richness of the stomach bacterial community, while cecal bacterial community richness showed no significant change. Stellera chamaejasme exhibits significantly different effects on the bacterial communities in different segments of the gastrointestinal tract. Beta diversity analysis revealed that, after plateau zokors ingested Stellera chamaejasme, there were notable distinctions in the bacterial communities within both the stomach and cecum, alongside a marked reduction in the variability of the intestinal bacterial profiles across individuals. The results show that ingesting Stellera chamaejasme has a significant impact on the composition and structure of the gastrointestinal tract bacterial community in plateau zokors.
Fungal Footprints: Soil Fungal Communities in Black Walnut and Red Oak Forests
Authors: Lawson Shaneka S. , Frene Juan P. , Lue Sue Niall D.
Published: October 2024

Soil fungal communities are critical for forest ecosystem functions in the Central Hardwood Region (CHR) of the USA. This evaluation, which took place in 2022–2023, investigates the influence of Juglans nigra (BW, black walnut) and Quercus rubra (NRO, Northern red oak) on soil properties and fungal community structures across three CHR sites. The objectives of this study are to investigate how the fungal communities identified beneath J. nigra and Q. rubra serve to influence biodiversity and soil health within hardwood plantations. Soils from two locations in Indiana and one in Michigan were examined and assessed for variations in fungal composition and diversity. Soil fungal communities were characterized using Illumina high-throughput sequencing while multivariate analysis was applied to analyze patterns in these fungal communities. These data provided insights into how environment, location, and tree species affect fungal community structure. Results indicate that J. nigra soils exhibited higher carbon (0.36%, 1.02%, 0.72%), nitrogen (25%, 29%, 56%), and pH (0.46, 1.08, 1.54) levels than Q. rubra soils across all three sites and foster greater fungal diversity. Specifically, J. nigra was associated with increased Ascomycota diversity, whereas Q. rubra supported a higher prevalence of Basidiomycota. Basidiomycota were negatively correlated with carbon and pH, while Ascomycota showed positive correlations with these variables. These findings highlight how crucial it is to understand how different tree species influence fungal communities and, consequently, how they influence forest soil health. Our findings serve to improve forest management practices by emphasizing the importance of fungal communities in maintaining the function and resilience of an ecosystem. Our study underscores that grasping these specific interactions is essential for effective forest management, especially when considering how to use fungal communities to boost plant growth. This work focuses on hardwood plantations rather than either agricultural ecosystems, monocultures, or native forests, thus filling a gap in the current literature where many studies are limited to specific fungal groups such as mycorrhizae. In future research, it is important to examine a wider range of tree species. This will deepen our understanding of fungal community dynamics and their impact on maintaining healthy forest ecosystems. Our hardwood plantation focus also notes the potential for adaptive forest management as environmental conditions change.
Multimodal Approaches Based on Microbial Data for Accurate Postmortem Interval Estimation
Authors: Hu Sheng , Zhang Xiangyan , Yang Fan , Nie Hao , Lu Xilong , Guo Yadong , Zhao Xingchun
Published: October 2024

Accurate postmortem interval (PMI) estimation is critical for forensic investigations, aiding case classification and providing vital trial evidence. Early postmortem signs, such as body temperature and rigor mortis, are reliable for estimating PMI shortly after death. However, these indicators become less useful as decomposition progresses, making late-stage PMI estimation a significant challenge. Decomposition involves predictable microbial activity, which may serve as an objective criterion for PMI estimation. During decomposition, anaerobic microbes metabolize body tissues, producing gases and organic acids, leading to significant changes in skin and soil microbial communities. These shifts, especially the transition from anaerobic to aerobic microbiomes, can objectively segment decomposition into pre- and post-rupture stages according to rupture point. Microbial communities change markedly after death, with anaerobic bacteria dominating early stages and aerobic bacteria prevalent post-rupture. Different organs exhibit distinct microbial successions, providing valuable PMI insights. Alongside microbial changes, metabolic and volatile organic compound (VOC) profiles also shift, reflecting the body’s biochemical environment. Due to insufficient information, unimodal models could not comprehensively reflect the PMI, so a muti-modal model should be used to estimate the PMI. Machine learning (ML) offers promising methods for integrating these multimodal data sources, enabling more accurate PMI predictions. Despite challenges such as data quality and ethical considerations, developing human-specific multimodal databases and exploring microbial–insect interactions can significantly enhance PMI estimation accuracy, advancing forensic science.
Tectonic–Climate Interactions Controlled the Episodic Magmatism and Exhumation of the Zheduo–Gongga Massif in the Eastern Tibetan Plateau
Authors: Wu Chan , Li Guangwei , Tian Yuntao , Zhao Zhongbao , Dong Hanwen
Published: October 2024

The Zheduo–Gongga Mountain, an enormous tower located at the boundary of the eastern Tibetan Plateau, is an ideal place to study the contribution of the climate and/or tectonics to the mountain building. Here, we report new zircon U–Pb ages, biotite 40Ar–39Ar, and apatite fission track (AFT) ages of granites along the Zhonggu transect in the northern part of the Zheduo–Gongga massif to investigate the detailed exhumation history and mechanism. The results show zircon U-Pb ages of 14.3 ± 0.3 and 11.3 ± 0.2 Ma, Biotite 40Ar–39Ar ages of 4.39 ± 0.07 and 3.62 ± 0.05 Ma, and AFT ages of ~2.6–0.9 Ma. Combining previous structural and geochronological studies, we argue that the growth and exhumation of the Zheduo–Gongga Mountain experienced the following stages. Late Oligocene–early Miocene crust shortening and magmatism marked the initiation of the crustal thickening and surface uplift during ~32–11 Ma, forming a migmatite–granitic belt along the Xianhuihe fault, in response to the northward advancing of the Indian plate into the Eurasian plates. Subsequently, the massif experienced episodic phases of exhumation with variable rates. The exhumation occurred at a rate of ~1–1.5 km/Ma with a cooling rate of 70 ± 20 °C/m.y. during ~11–5 Ma coinciding with the coeval intensification of the Asian monsoon and clockwise rotation of the Chuandian block, south of the Xianshuihe fault. During ~5–2 Ma, a phase of accelerated exhumation (~2–5 km/Ma) started, followed by a possible phase of decelerated exhumation (~1–1.5 km/Ma, corresponding to a cooling rate of 120 ± 20 °C/m.y.) since ~2 Ma, when alpine glaciations initiated due to global cooling. This study highlights the importance of tectonic deformation during ~11–5 Ma in controlling the early growth and exhumation of high mountains in the eastern Tibetan Plateau. The climate may account for the later exhumation of the Zheduo–Gongga mountain since ~5 Ma.
Single Vesicle Surface Protein Profiling and Machine Learning-Based Dual Image Analysis for Breast Cancer Detection
Authors: Taylor Mitchell Lee , Alle Madhusudhan , Wilson Raymond , Rodriguez-Nieves Alberto , Lutey Mitchell A. , Slavney William F. , Stewart Jacob , Williams Hiyab , Amrhein Kristopher , Zhang Hongmei , Wang Yongmei , Hoang Thang Ba , Huang Xiaohua
Published: October 2024

Single-vesicle molecular profiling of cancer-associated extracellular vesicles (EVs) is increasingly being recognized as a powerful tool for cancer detection and monitoring. Mask and target dual imaging is a facile method to quantify the fraction of the molecularly targeted population of EVs in biofluids at the single-vesicle level. However, accurate and efficient dual imaging vesicle analysis has been challenging due to the interference of false signals on the mask images and the need to analyze a large number of images in clinical samples. In this work, we report a fully automatic dual imaging analysis method based on machine learning and use it with dual imaging single-vesicle technology (DISVT) to detect breast cancer at different stages. The convolutional neural network Resnet34 was used along with transfer learning to produce a suitable machine learning model that could accurately identify areas of interest in experimental data. A combination of experimental and synthetic data were used to train the model. Using DISVT and our machine learning-assisted image analysis platform, we determined the fractions of EpCAM-positive EVs and CD24-positive EVs over captured plasma EVs with CD81 marker in the blood plasma of pilot HER2-positive breast cancer patients and compared to those from healthy donors. The amount of both EpCAM-positive and CD24-positive EVs was found negligible for both healthy donors and Stage I patients. The amount of EpCAM-positive EVs (also CD81-positive) increased from 18% to 29% as the cancer progressed from Stage II to III. No significant increase was found with further progression to Stage IV. A similar trend was found for the CD24-positive EVs. Statistical analysis showed that both EpCAM and CD24 markers can detect HER2-positive breast cancer at Stages II, III, or IV. They can also differentiate individual cancer stages except those between Stage III and Stage IV. Due to the simplicity, high sensitivity, and high efficiency, the DISVT with the AI-assisted dual imaging analysis can be widely used for both basic research and clinical applications to quantitatively characterize molecularly targeted EV subtypes in biofluids.