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Abstract Background The benefits of low-pressure laparoscopic cholecystectomy (LPLC) in patients with cardiopulmonary comorbidities remain unclear. This study aimed to explore the feasibility and pulmonary effects of LPLC in patients with cardiopulmonary comorbidities. Methods This was a multicenter, parallel, double-blind, randomized controlled trial. Eligible patients included patients with cardiac or pulmonary comorbidities, who were randomly assigned (1:1) to undergo LPLC (10 mmHg) or standard-pressure laparoscopic cholecystectomy (SPLC) (14 mmHg). The primary outcome was postoperative partial pressure of carbon dioxide (CO2). Surgical safety variables, patient recovery, pulmonary function parameters, and surgeon comfort were also compared between groups. Results This study enrolled 144 participants, with 124 participants extracted for the final analysis (62 in LPLC and 62 in SPLC group, respectively). The median postoperative PaCO2 was similar in the LPLC (43.3 mmHg) and SPLC (43.0 mmHg) groups (p = 0.988). Pulmonary parameters including postoperative pH, PaCO2, HCO3, and lactate levels were similar between the two groups. Postoperative base excess was significantly higher in the LPLC group (− 0.6 mmol/L [− 6.9 ~ 7.5] vs. −1.9 mmol/L [− 6.6 ~ 5.4]; p = 0.031). There was no between-group difference regarding intraabdominal operative time, rate of intraoperative bile spillage, blood loss, surgeon comfort during surgery, and conversion rate. Moreover, postoperative major complication rates, the median time to the first flatus, postoperative hospital stay, or mean postoperative visual analog scale score for pain were similar in both groups. Conclusions This study found no reduction of partial pressure of CO2 with LPLC compared with SPLC for patients with cardiopulmonary comorbidities. LPLC with a pneumoperitoneum pressure of 10 mmHg may be safe and feasible for these patients when performed by experienced surgeons, although it does not improve pulmonary parameters. Registration The trial is retrospectively registered at ClinicalTrials.gov (NCT04670952) on December 17, 2020.

Abstract Objectives Viral hepatitis caused by hepatitis B virus (HBV) and hepatitis C virus (HCV) infections remain a major global public health challenge, particularly in low- and middle-income countries. It is crucial to utilize a pointof-care (POC) testing platform that is sensitive, specific, rapid, and user-friendly for screening and diagnosis of the two infections. Here, a novel molecular diagnostic assay, integrating multiplex loop-mediated isothermal amplification with a gold nanoparticle-based lateral flow biosensor (mLAMP-AuNPs-LFB) was developed and applied for one-step, visual, rapid, sensitive, and specific identification of HBV and HCV. Methods The AuNPs-based LFB was devised and constructed for the simultaneous detection of HBV and HCV. The HBV-LAMP and HCV-LAMP primers were designed against the S and 5′-untranslated region (5′-UTR) genes from the major HBV genotypes (B, C, D, B/C recombinant, and C/D recombinant) and HCV subtypes (1b, 2a, 3a, 3b, and 6a) in China, respectively. Our assay conditions, both multiplex-LAMP amplification temperature and time were optimized. The sensitivity and specificity of our assay were tested, and the feasibility of our assay was verified through clinical samples. Results The AuNPs-based LFB used here was successfully manufactured according to our devise manual. The two unique independent primer pairs were successfully designed based on the S and 5′-UTR genes, respectively. The optimal mLAMP-AuNPs-LFB detection process, involving rapid nucleic acid isolation (10 min), mLAMP (63 °C for 35 min), and visual AuNPs-LFB interpretation (less than 2 min), could be completed within 50 min. The HBV&HCV-mLAMP-AuNPs-LFB assay can detect the target genes (HBV-S and HCV-5′-UTR) with as low as 20 copies of plasmid template per test, and the specificity was 100% for the experimental pathogens. Conclusions The preliminary results manifested that our mLAMP-AuNPs-LFB assay is a valuable tool and has tremendous potential as a POC testing approach for HBV and HCV identification, especially in undeveloped regions.

Abstract Nicotinamide adenine dinucleotide phosphate-diaphorase (NADPH-d) was used to detect neurodegenerations in aged monkeys. Our previous studies have shown that aging-related NADPH-d positive bodies (ANBs) and megaloneurites appeared in the lumbosacral spinal cord of aged rats and dogs, respectively. To determine the occurrence of megaloneurites and ANBs in non-human primates, we used NADPH-d histochemistry to perform an advanced study of aging-related alterations in aged male monkeys. We identified two distinct abnormal NADPH-d positive alterations, which were expressed as ANBs and megaloneurites, mainly distributed in the superficial dorsal horn, dorsal gray commissure, lateral collateral pathway (LCP) and sacral parasympathetic nucleus of the sacral spinal cord in aged monkeys. Meanwhile, large diameter punctate NADPH-d abnormalities occurred and scattered in the lateral white matter of the LCP and dorsal root entry zone at the same level of megaloneurites in the gray matter. Immunohistochemical results showed that megaloneurites and ANBs are two distinct abnormal alterations, with megaloneurites co-localizing with vasoactive intestinal peptide immunoreactivity, whereas ANBs were not co-localized. Both ANBs and megaloneurites provide consistent evidence that the anomalous NADPH-d alterations in the aged sacral spinal cord are referred to as a specialized aging marker in the pelvic visceral organs in non-human primates.

Abstract The digital twin model of mine ventilation system (DTMVS) plays an important role in intelligent safety management. However, the uncertainty of the ventilation resistance coefficient, which is the core parameter of the model, makes it challenging to accurately construct a DTMVS. In this study, Latin Hypercube Sampling (LHS) and ventilation resistance coefficient estimation models (VRCEMs) are used to analyze the uncertainty. First, the LHS method was used to explore the effect of uncertainty in the simulated airflow by continuously increasing the level of uncertainty in the ventilation resistance coefficients. Subsequently, the ventilation resistance coefficients were estimated using the VRCEMs, and the uncertainty of the ventilation resistance coefficient and the simulated airflow was analyzed. The results showed that the ventilation resistance coefficients with a 5% coefficient of variation can cause the DTMVS to lose 34% of the real airflow data points. The degree of uncertainty in the ventilation resistance coefficients estimated by the VRCEM-GA (VRCEM using genetic algorithm) and VRCEM-DE (VRCEM using differential evolution algorithm) methods was enhanced by 27.4% and 4.4%, respectively, compared with VRCEM-ES (VRCEM using evolutionary strategy algorithm). The VRCEM-ES model had the least influence on the uncertainty of the simulated airflow of DTMVS. The simulated airflow of the DTMVS constructed based on VRCEMs fluctuated normally within the confidence interval. VRCEMs had a higher sensitivity to the ventilation resistance coefficients of branches with low coefficients of variation.

Abstract Background Neurocognitive impairment is one of the prominent manifestations of major depressive disorder (MDD). Childhood trauma enhances vulnerability to developing MDD and contributes to neurocognitive dysfunctions. However, the distinct impacts of different types of childhood trauma on neurocognitive processes in MDD remain unclear. Methods This study comprised 186 individuals diagnosed with MDD and 268 healthy controls. Childhood trauma was evaluated using the 28-item Childhood Trauma Questionnaire-Short Form. Neurocognitive abilities, encompassing sustained attention, vigilance, visual memory, and executive functioning, were measured by the Cambridge Neuropsychological Testing Automated Battery. Results Multivariable linear regressions revealed that childhood trauma and MDD diagnosis were independently associated with neurocognitive impairment. Physical neglect was associated with impaired visual memory and working memory. MDD diagnosis is associated with working memory and planning. Interactive analysis revealed that physical/sexual abuse was associated with a high level of vigilance and that emotional neglect was linked with better performance on cognitive flexibility in MDD patients. Furthermore, childhood emotional abuse, physical abuse, and emotional neglect were revealed to be risk factors for developing early-onset, chronic depressive episodes. Conclusion Thus, specific associations between various childhood traumas and cognitive development in depression are complex phenomena that need further study.

Abstract The pig is an important model for studying human diseases and is also a significant livestock species, yet its testicular development remains underexplored. Here, we employ single-cell RNA sequencing to characterize the transcriptomic landscapes across multiple developmental stages of Bama pig testes from fetal stage through infancy, puberty to adulthood, and made comparisons with those of humans and mice. We reveal an exceptionally early onset of porcine meiosis shortly after birth, and identify a distinct subtype of porcine spermatogonia resembling transcriptome state 0 spermatogonial stem cells identified in humans, which were previously thought to be primate specific. We also discover the persistent presence of proliferating progenitors for myoid cells in postnatal testes. The regulatory roles of Leydig cell steroidogenesis and estrogen synthesis in supporting cell lineages are also explored, including the potential impact of estrogen on Sertoli cell maturation and spermatogenesis. Overall, this study offers valuable insights into porcine testicular development, paving the way for future research in reproductive biology, advancements in agricultural breeding, and potential applications in translational medicine.

Abstract Orally administered nanocarriers play an important role in improving druggability, promoting intestinal absorption, and enhancing therapeutic applications for the treatment of local and systemic diseases. However, the delivering efficiency and cell response in mucosa to orally administered nanocarriers is affected by the physiological environment and barriers in the gastrointestinal tract, the physicochemical properties of the nanocarriers, and their bidirectional interactions. Goblet cells secrete and form extracellular mucus, which hinders the movement of nanoparticles. Meanwhile, intestinal epithelial cells may absorb the NPs, allowing for their transcytosis or degradation. Conversely, nanoparticle-induced toxicity may occur as a biological response to the nanoparticle exposure. Additionally, immune response and cell functions in secretions such as mucin, peptide, and cytokines may also be altered. In this review, we discuss the bidirectional interactions between nanoparticles and cells focusing on enterocytes and goblet cells, M cells, and immune cells in the mucosa according to the essential role of intestinal epithelial cells and their crosstalk with immune cells. Furthermore, we discuss the recent advances of how the physiochemical properties of nanoparticles influence their interplay, delivery, and fate in intestinal mucosa. Understanding the fate of nanoparticles with different physiochemical properties from the perspective of their interaction with cells in mucosa provides essential support for the development, rational design, potency maximation, and application of advanced oral nanocarrier delivery systems. Graphical Abstract

Displaced fragility fractures of the pelvis (FFP) pose significant challenges in orthopaedic trauma, owing to patient comorbidities, deteriorating bone quality, and surgical complexities. Despite technological advancements, no robotic methods have been documented for displaced FFP management. To address this, we introduced an advanced robot-assisted fracture reduction system, comprising a tracking device, path planning software, and robotic arms. This study evaluated fifteen consecutive patients with displaced FFP (average age 80.4 ± 9.1 years), who underwent robot-assisted reduction and internal fixation (RARIF) between January 2022 and May 2023. All were categorized as Rommens FFP type III, with a median time of 6 days (range 4–11) from injury to surgery. Operative times averaged 165 ± 44 min, with median blood loss of 50 mL. Postoperative radiographs showed all patients achieved excellent or good reductions as per Matta criteria, marking a 100 % success rate. A 6-month follow-up revealed an average modified Majeed score of 81.4, with 85.7 % of patients rated excellent or good. All fractures healed without complications. Leveraging our intelligent system, RARIF proves to be a safe and effective approach for displaced FFP, facilitating postoperative pain alleviation and early mobilization despite compromised health and bone conditions. This approach may revolutionize the management of FFP in an increasingly aging population, signaling a significant shift in therapeutic strategies.Translational Potential of this Article: Elderly patients with displaced FFP often present complex surgical challenges due to comorbidities and poor bone quality, complicating reduction procedures and often leading to ineffective fixation. Addressing these challenges, we have developed an innovative robot-assisted fracture reduction system, offering a practical alternative to conventional methods. This system optimizes the applied force and direction during the reduction process, thereby reducing the needs for manual and repetitive attempts. Our report, detailing the successful implementation of this technique in 15 FFP cases, signifies a considerable leap forward in the field of orthopaedic surgery. This technique notably benefits the elderly population, a group traditionally marginalized in receiving care for complex orthopedic conditions.

Laser welding process involves three-dimensional (3D) highly dynamic spatial thermal cycling that results in intricate microstructure evolution in different zones. Understanding of the 3D topological evolution of microstructure under spatial thermal cycling is crucial for effective control in solidification processes. In this paper, a 3D multiphase-field model combined with accelerated methods and multi-scale coupling algorithms was developed for high-precision prediction of the dynamic microstructure evolution in laser welding. The heat flow distribution during laser welding varied significantly, with the cooling rates of 1.7–1.9 × 104 K/s at the middle region and 7.5–9.0 × 104 K/s at the bottom region. Considering the effects of 3D heat flow, a large angle may appear between the grains' primary growth direction and the cross-sectional plane, thereby the ultimate morphology through 2D analysis may lead to distortion from reality. The simulation of 3D microstructure evolution during distinct regions results showed that the grains at the bottom region exhibited larger characteristic dimensions (Length/Height >2.5, Length/Width >2.0) and columnar shape, while the middle region tended to form equiaxed structures. The grain size statistics revealed that the grains in the middle region exhibited larger scale due to their smaller GR (G: temperature gradient, R: growth rate) values. The simulation results were in good agreement with the electro-back-scattered diffraction testing results and the theoretical analysis.

To investigate the influence of loading rate on the local deformation and failure characteristics of rock-like models with a locked segment, this study fabricated them using quartz sand and barite powder as aggregates, and gypsum as cementing material. Uniaxial compression tests, combined with strain cube monitoring and the digital image correlation technique, were employed to analyze the mechanical properties, internal and external deformation characteristics, crack propagation, and failure modes at different loading rates. The results showed that as the loading rate increased, the strength of these models initially increased significantly and then slightly decreased, primarily due to the complex interaction between the longitudinal and transverse deformations of the models and the stress concentration intensity at the crack tips. The fluctuation in the principal strain axis's deflection angle revealed the complex process of stress wave propagation and particle adjustment within the models, with more pronounced fluctuations observed at higher loading rates. The stress intensity factors, KI and KII, at the crack tips first increased and then decreased with increasing loading rate, with KI consistently higher than KII. The strain concentration phenomenon in the rock-like models occurred earlier with increasing loading rates, and the corresponding crack closure stress exhibited a decreasing trend. Higher loading rates caused earlier crack initiation and faster propagation. As the loading rate increased, the crack paths shortened, and both damage density and severity increased significantly, indicating brittle failure. This study provides important experimental evidence and theoretical support for understanding the effects of loading rate in rock mass engineering.

In this paper, we introduce a challenging Global Large-scale Ship Database (GLSD), designed specifically for ship detection tasks. The designed GLSD database includes a total of 212,357 annotated instances from 152,576 images. Based on the collected images, we propose 13 ship categories that widely exist in international routes. These categories include Sailing boat, Fishing boat, Passenger ship, Warship, General cargo ship, Container ship, Bulk cargo carrier, Barge, Ore carrier, Speed boat, Canoe, Oil carrier, and Tug. The motivations for developing GLSD include the following: 1) providing a refined and extensive ship detection database that benefits the object detection community, 2) establishing a database with exhaustive labels (bounding boxes and ship class categories) in a uniform classification scheme, and 3) providing a large-scale ship database with geographic information (covering more than 3000 ports and 33 routes) that benefits multi-modal analysis. Additionally, we discuss the evaluation protocols corresponding to image characteristics in GLSD and analyze the performance of selected state-of-the-art object detection algorithms on GLSD, aiming to establish baselines for future studies.

Abstract Bladder cancer (BCa) is a lethal malignancy of the urinary system and exhibits a poor prognosis. Chaperonin-containing tailless complex polypeptide 1 subunit 3 (CCT3) acts as an oncogene in various tumors, whereas its effect on BCa remains unknown. We identified the ferroptosis-associated differentially expressed genes through bioinformatic analysis and selected CCT3 for further verification. The levels of cell viability, apoptosis, migration, invasion, and proliferation were measured to clarify the effect of silencing CCT3 on BCa cells. Then we evaluated the role of CCT3 knockdown in vivo. Ferroptosis was assessed by the expression detection of the ferroptosis-related proteins. The underlying mechanism was predicted by RNA sequencing and verified by an agonist for nucleotide-binding and oligomerization domain 1 (NOD1). Western blotting was conducted to detect the protein expression of NOD1, nuclear factor kappa B (NF-κB) inhibitor alpha (IκBα), and phospho-IκBα (p-IκBα). In vitro, down-regulation of CCT3 suppressed the cell viability, migration, invasion, and proliferation, as well as induced apoptosis of BCa cells. In vivo, silencing CCT3 elevated the body weight of mice and suppressed the BCa progression. In addition, CCT3 knockdown could induce ferroptosis in vitro and in vivo. CCT3 knockdown suppressed the expression of NOD1 and p-IκBα/IκBα and the NOD1 agonist could reverse the effect of CCT3 suppression on BCa in vitro and in vivo. In summary, our findings demonstrate that silencing CCT3 inhibits BCa via induction of ferroptosis and suppression of the NOD1-NF-κB pathway.

Abstract MAX phases, a unique class of layered ternary compounds, along with their two-dimensional derivatives, MXenes, have drawn considerable attention in many fields. Notably, their one-dimensional (1D) counterpart exhibits more distinct properties and enhanced assemblability for broader applications. We propose a conformal synthetic route for 1D-MAX phases fabrication by integrating additional atoms into nanofibers template within a molten salt environment, enabling in-situ crystalline transformation. Several 1D-MAX phases are successfully synthesized on a large scale. Demonstrating its potential, a copper-based layer-by-layer composites containing 1% by volume of 1D-Ti2AlC reinforced phase achieves an impressive 98 IACS% conductivity and a friction coefficient of 0.08, while maintaining mechanical properties comparable to other Cu-MAX phase composites, making it suitable for advanced industrial areas. This strategy may promise opportunities for the fabrication of various 1D-MAX phases.

Abstract Digital technology has become crucial for the protection of cultural relics, enabling their acquisition, preservation, exhibition, and dissemination in a non-contact manner.At present, the three-dimensional(3D) visualization technology of cultural relics focuses on the research of non-true 3D visualization, which cannot provide continuous viewing angle and takes a long time to render. This paper focuses on the acquisition and reproduction of digital information related to cultural relics, and proposes to achieve the true 3D display of cultural relics from a continuous perspective based on integrated imaging(InIm). Building up on traditional InIm, an Element image array (EIA) generation algorithm based on local depth template matching is designed by using spatial geometry relation. Experimental results show that the algorithm not only enables naked-eye 3D visualization of cultural relics, but also the generation speed is more than twice that of the compared 3D display data source generation algorithm.

Abstract Background The role of Claudin‐1 in tongue squamous cell carcinoma (TSCC) metastasis needs further clarification, particularly its impact on cell migration. Herein, our study aims to investigate the role of Claudin‐1 in TSCC cell migration and its underlying mechanisms. Methods 36 TSCC tissue samples underwent immunohistochemical staining for Claudin‐1. Western blotting and immunofluorescence analyses were conducted to evaluate Claudin‐1 expression and distribution in TSCC cells. Claudin‐1 knockdown cell lines were established using short hairpin RNA transfection. Migration effects were assessed through wound healing assays. Furthermore, the expression of EMT‐associated molecules was measured via western blotting. Results Claudin‐1 expression decreased as TSCC malignancy increased. Adenosine monophosphate–activated protein kinase (AMPK) activation led to increased Claudin‐1 expression and membrane translocation, inhibiting TSCC cell migration and epithelial–mesenchymal transition (EMT). Conversely, Claudin‐1 knockdown reversed these inhibitory effects on migration and EMT caused by AMPK activation. Conclusions Our results indicated that AMPK activation suppresses TSCC cell migration by targeting Claudin‐1 and EMT pathways.

Abstract Drug‐drug interaction (DDI) prediction is a crucial issue in molecular biology. Traditional methods of observing drug‐drug interactions through medical experiments require significant resources and labour. The authors present a Medical Knowledge Graph Question Answering (MedKGQA) model, dubbed MedKGQA, that predicts DDI by employing machine reading comprehension (MRC) from closed‐domain literature and constructing a knowledge graph of “drug‐protein” triplets from open‐domain documents. The model vectorises the drug‐protein target attributes in the graph using entity embeddings and establishes directed connections between drug and protein entities based on the metabolic interaction pathways of protein targets in the human body. This aligns multiple external knowledge and applies it to learn the graph neural network. Without bells and whistles, the proposed model achieved a 4.5% improvement in terms of DDI prediction accuracy compared to previous state‐of‐the‐art models on the QAngaroo MedHop dataset. Experimental results demonstrate the efficiency and effectiveness of the model and verify the feasibility of integrating external knowledge in MRC tasks.

Abstract Background Coronary artery calcification (CAC) is a common risk factor of cardiovascular disease. Although triglyceride glucose (TYG) index and high-density lipoprotein cholesterol (HDL-c) are both associated with CAC, no study has evaluated the correlation between the TYG/HDL-c ratio and CAC. In the present study, we investigated the relationships between CAC and the TYG index and the TYG/HDL-c ratio. Methods A total of 9585 participants who underwent computed tomography (CT) screening for lung cancer from 2018 to 2020 were included in this cross-sectional study. Demographic data, laboratory test data and medical history data were collected from medical records. TYG = Ln[fasting glucose (mg/dL)×fasting TG (mg/dL/2]. The triglyceride glucose-HDL-c ratio was calculated as TYG/HDL-c. CAC was evaluated on chest CT images. Multivariate logistic regression analysis and restricted cubic splines were used to determine the relationships among the TYG index, TYG/HDL-c ratio and risk of CAC. The receiver operating characteristic (ROC) curve was used to evaluate the performance of the TYG index and TYG/HDL-c ratio in identifying CACs in individuals aged 60 years and above. Results CAC was detected in 2515 of 9585 participants (mean age 51.8 ± 15.5 years, 61.2% men). The prevalence of CAC was significantly greater in participants with a high TYG/HDL-c ratio (32.6% in the fourth quartile vs. 19.1% in the first quartile, p

Abstract Understanding the fate of subducted carbonates is a prerequisite for the elucidation of the Earth’s deep carbon cycle. Here we show that the concomitant presence of Ca[CO3] with CO2 in a subducting slab very likely results in the formation of an anhydrous mixed pyrocarbonate, $${{{{\rm{Ca}}}}}_{3}{\left[{{{{\rm{C}}}}}_{2}{{{{\rm{O}}}}}_{5}\right]}_{2}\left[{{{{\rm{CO}}}}}_{3}\right]$$ Ca 3 C 2 O 5 2 CO 3 , at moderate pressure ( ≈ 20 GPa) and temperature ( ≈ 1500 K) conditions. We show that at these conditions $${{{{\rm{Ca}}}}}_{3}{\left[{{{{\rm{C}}}}}_{2}{{{{\rm{O}}}}}_{5}\right]}_{2}\left[{{{{\rm{CO}}}}}_{3}\right]$$ Ca 3 C 2 O 5 2 CO 3 can be obtained by reacting Ca[CO3] with CO2 in a laser-heated diamond anvil cell. The crystal structure was obtained from synchrotron-based single crystal X-ray diffraction data. Density Functional Perturbation Theory calculations in combination with experimental Raman spectroscopy results unambiguously confirmed the structural model. The crystal structure of $${{{{\rm{Ca}}}}}_{3}{\left[{{{{\rm{C}}}}}_{2}{{{{\rm{O}}}}}_{5}\right]}_{2}\left[{{{{\rm{CO}}}}}_{3}\right]$$ Ca 3 C 2 O 5 2 CO 3 is characterized by the presence of $${\left[{{{{\rm{CO}}}}}_{3}\right]}^{2-}$$ CO 3 2 − - and $${\left[{{{{\rm{C}}}}}_{2}{{{{\rm{O}}}}}_{5}\right]}^{2-}$$ C 2 O 5 2 − -groups. The results presented here imply that the formation of $${{{{\rm{Ca}}}}}_{3}{\left[{{{{\rm{C}}}}}_{2}{{{{\rm{O}}}}}_{5}\right]}_{2}\left[{{{{\rm{CO}}}}}_{3}\right]$$ Ca 3 C 2 O 5 2 CO 3 needs to be taken into account when constructing models of the deep carbon cycle of the Earth.

Abstract The mine wind speed sensor is an important intelligent sensing equipment in the mine intelligent ventilation system that can provide accurate and key wind speed parameters for the intelligent ventilation system. The turbulent pulsation characteristics of the airflow in the underground tunnel are a major factor for the inaccurate measurement of mine wind speed. Therefore, according to the random non-stationary characteristics of a turbulent pulsation signal, a denoising method based on adaptive complete ensemble empirical mode decomposition (CEEMDAN) combined with the wavelet threshold is proposed for suppressing the turbulent pulsation noise in the wind speed signal. First, the CEEMDAN algorithm is used for decomposing the wind speed signal into a series of IMF components. Second, the continuous mean square error criterion is used for determining the high-frequency IMF components with more noise. The wavelet threshold denoising method is used for denoising the high-frequency IMF components with more noise. Finally, the denoised IMF components and remaining low-frequency IMF components are reconstructed for obtaining the denoised signal. The results of the denoising analysis of measured turbulent pulsation signals, comparative analysis of denoising of simulated turbulent pulsation signals by different joint denoising methods, and denoising analysis of actual mine wind speed sensor data indicate that the joint denoising method proposed in this study has a higher signal-to-noise ratio and lower root mean square error of the wind speed signal after denoising. Compared with the EMD-wavelet threshold and EEMD-wavelet threshold denoising methods, the denoising method proposed in this study is better and has higher denoising accuracy, which provides a new method for processing actual mine wind speed sensor data.

Abstract Background Metabolic syndrome (MetS) imposes a significant health burden on patients globally. Chronic low-grade inflammation is pivotal in the onset and progression of this condition. However, the role of the novel inflammatory marker, red cell distribution width to albumin ratio (RAR), in the development of MetS remains unclear. Methods This population-based cross-sectional study utilized data from the 2011–2020 National Health and Nutrition Examination Survey (NHANES). Participants included individuals over 18 years old with complete data on serum albumin concentration, red cell distribution, and MetS and its components. MetS was defined using the criteria established by the National Cholesterol Education Program Adult Treatment Panel III. The calculation formula for RAR is: RAR = Red cell distribution width (%)/serum albumin (g/dL). Study participants were stratified into four quartiles based on RAR levels. Logistic regression analysis and subgroup analysis were employed to explore the independent interaction between RAR and MetS, as well as investigate the relationship between RAR levels and the specific components of MetS. Finally, the receiver operating characteristic (ROC) curve was used to assess the predictive efficacy of RAR for MetS. Results A total of 4899 participants were included in this study, comprising 2450 males and 2449 females; 1715 individuals (35.01%) were diagnosed with MetS. As the quartile of RAR increased, the proportion of individuals with MetS also increased. Spearman correlation analysis indicated a positive correlation between RAR and the insulin resistance index HOMA-IR. Logistic regression analysis, adjusting for multiple confounding factors, showed that each standard deviation increase in RAR was associated with a significant 1.665-fold increase (95% CI, 1.404–1.975; P

Abstract Pulmonary arterial hypertension (PAH) is a progressive and rapidly fatal disease with an intricate etiology. Identifying biomarkers for early PAH lesions based on the exploration of subtle biological processes is significant for timely diagnosis and treatment. In the present study, nine distinct cell populations identified based on gene expression profiles revealed high heterogeneity in cell composition ratio, biological function, distribution preference, and communication patterns in PAH. Notably, compared to other cells, endothelial cells (ECs) showed prominent variation in multiple perspectives. Further analysis demonstrated the endothelial-to-mesenchymal transition (EndMT) in ECs and identified a subgroup exhibiting a contrasting phenotype. Based on these findings, a machine-learning integrated program consisting of nine learners was developed to create a PAH Endothelial-to-mesenchymal transition Signature (PETS). This study identified cell populations underlying EndMT and furnished a potential tool that might be valuable for PAH diagnosis and new precise therapies.

Abstract Treatment strategies that are efficient against established Alzheimer’s disease (AD) are needed. BRICHOS is a molecular chaperone domain that prevents amyloid fibril formation and associated cellular toxicity. In this study, we treated an AD mouse model seven months after pathology onset, using intravenous administration of recombinant human (rh) Bri2 BRICHOS R221E. Two injections of rh Bri2 BRICHOS R221E per week for three months in AD mice reduced amyloid β (Aβ) burden, and mitigated astro- and microgliosis, as determined by glial fibrillary acidic protein (GFAP) and ionized calcium-binding adaptor molecule 1 (Iba1) immunohistochemistry. Sequencing of RNA from cortical microglia cells showed that BRICHOS treatment normalized the expression of identified plaque-induced genes in mice and humans, including clusterin and GFAP. Rh Bri2 BRICHOS R221E passed the blood–brain barrier (BBB) in age-matched wild-type mice as efficiently as in the AD mice, but then had no effect on measures of AD-like pathology, and mainly affected the expression of genes that affect cellular shape and movement. These results indicate a potential of rh Bri2 BRICHOS against advanced AD and underscore the ability of BRICHOS to target amyloid-induced pathology.

Abstract Background Cyberbullying and health risk behaviors are pervasive issues for secondary vocational students that not only detrimentally impact their academic achievement but also pose a significant threat to overall health. The purpose of this study was to understand the current situation of cyberbullying and health risk behaviors among secondary vocational students in China and to explore the relationships among cyberbullying, self-control, self-control over internet usage, and health risk behaviors through a mediation model. Methods This was a cross-sectional study. From March to April 2023, a self-administered questionnaire was completed by a cluster sample of 1184 students from grades 1 to 3 at three secondary vocational schools in Jilin Province. The researchers utilized a sociodemographic questionnaire, the Cyberbullying and Cybervictimization Scale (CAV), the Adolescent Health Related Risky Behavior Inventory (AHRBI), the Self-Control Scale (SCS), and the Internet Usage Self-Control Scale (IUSCS-CS) to assess the prevalence and impact of cyberbullying and health risk behaviors. Descriptive statistics, spearman correlation analyses. Finally, the Process plug-in V2.16.3 was used to analyze a mediation model for the data. Results Among secondary vocational students, 839 individuals (70.86%) experienced cyberbullying and 1036 individuals (87.50%) had one or more health risk behaviors. A chi-square test showed that the differences in cyberbullying incidence were statistically significant (P

Abstract Glaucoma poses a significant threat to vision, capable of causing irreversible damage and, in severe instances, leading to permanent blindness. Accurate optic cup (OC) and optic disc (OD) segmentation are essential in glaucoma screening. In this study, a novel OC and OD segmentation approach is proposed. Based on U‐Net, it is optimized by introducing cardinality dimensions. Moreover, attention gates are implemented to reinforce salient features while suppressing irrelevant information. Additionally, a convolutional block attention module (CBAM) is integrated into the decoder segment. This fusion hones in on effective information in both channel and spatial dimensions. Meanwhile, an image processing procedure is proposed for image normalization and enhancement. All of these increase the accuracy of the model. This model is evaluated on the ORIGA and REFUGE datasets, demonstrating the model's superiority in OC and OD segmentation compared to the state‐of‐the‐art methods. Additionally, after the proposed image processing, cup‐to‐disc ratio (CDR) prediction on a batch of 155 in‐house fundus images yields an absolute CDR error of 0.099, which is reduced by 0.04 compared to the case where only conventional processing was performed.

In order to accurately simulate the large-scale migration of plutonium in groundwater(a three-phase system), it is necessary to understand the interaction mechanisms between plutonium(Ⅳ), natural colloid, and granite(immobile media). The experimental results show that plutonium pseudo-colloids(i.e., Pu(Ⅳ) sorbed on the surfaces of soil colloids) have the strong mobility(i.e., the recovery percentage of plutonium after plutonium pseudo-colloids transported through columns filled with pore media, R). The mobility R increases with soil colloid concentration ρ(0≤ρ≤375.4 mg/L, 1.3%≤R≤52.5%). The master complexation speciation of Pu(Ⅳ) on the surfaces of soil colloids is \begin{document}$\equiv {\text{SOPu}} $\end{document}(OH)3. The speciation percentage(＞95%) is positively correlated with the colloid concentration. The results of experiments and surface complexation calculations confirm that plutonium pseudo-colloids enhance the mobility of Pu(Ⅳ) and thus pose a greater risk of contaminating far-field waters than the dissolved Pu(Ⅳ). The calculations of DLVO interaction potential indicate that the trough depth of the second energy minima(Фmin2) between colloids and media deepens with increasing colloid concentrations. This attractive interaction potential results in an increase in the adsorptive deposition efficiency of plutonium pseudo-colloids on the media surfaces. The DLVO calculations are consistent with the observation: the mobility of plutonium pseudo-colloids become weak(375.4 mg/L＜ρ≤2017.8 mg/L, 52.5%＜R≤12.7%).

Esophageal squamous cell carcinoma (ESCC) is a malignant tumor of the digestive tract with strong migratory and invasive abilities. Gas6 is closely associated with the progression of many malignant tumors; however, the role of Gas6 in the progression of esophageal cancer is unclear. Here, we report that the knockdown of Gas6 inhibited esophageal cancer cell proliferation, migration, and invasion. In addition, Gas6 knockdown downregulated the levels of P-PI3K and P-AKT. Taken together, the findings confirm that Gas6 knockdown can inhibit esophageal cancer progression and can exert anti-tumor effects on esophageal cancer through the PI3K/AKT pathway.

Abstract Background Pseudomonas aeruginosa (PA) isolation in patients with chronic obstructive pulmonary disease (COPD) has been associated with a poor prognosis. This meta-analysis aimed to determine significant risk factors for PA isolation among patients with COPD. Methods A systematic literature retrieval from PubMed, Embase, Web of Science and China National Knowledge Infrastructure (CNKI) was conducted, including studies from January 2003 to September 2024. Case-control and cohort studies exploring the risk factors for PA isolation in patients with COPD were included in this analysis. A random-effects model was applied to estimate the pooled adjusted odds ratio (paOR) or hazard ratio (paHR) with the corresponding 95% confidence intervals (CI). Results Thirteen eligible studies with a total of 25,802 participants were included in this meta-analysis. Prior systemic steroid therapy (paOR: 2.67; 95% CI: 1.29–5.53; P = 0.008), previous antibiotic treatment (paOR: 2.83; 95% CI: 1.14–6.97; P = 0.02), high “Body mass index, airflow Obstruction, Dyspnea, Exercise capacity” (BODE) index (paOR: 4.13; 95% CI: 1.67–10.23; P = 0.002), 6-min walking distance (6MWD) 20 points (paOR: 2.49; 95% CI: 1.46–4.23; P = 0.001), hypoproteinemia (paOR: 2.62; 95%CI: 1.32–5.19; P = 0.006), hospitalizations in the previous year (paOR: 3.74; 95%CI: 1.22–11.49; P = 0.021), Bronchiectasis (paOR = 4.81; 95% CI: 3.66–6.33; P

Abstract Background Reduced red blood cell deformability (RBCD) is associated with diabetic vascular complications, but early pathophysiological RBC changes and predictive demographic and clinical factors in populations with diabetes are unclear. An understanding of early diabetes-specific RBC changes associated with impaired RBCD is essential in investigating mechanisms that predispose to diabetic vascular complications. Methods We conducted an outpatient cross-sectional study of participants in a well-controlled diabetes cohort (N81) and nondiabetic controls (N78) at the National Institutes of Health. First, between-group differences in RBCD measures were assessed with shear stress-gradient ektacytometry. Differences in structural RBC parameters were assessed using osmotic gradient ektacytometry and NaCl osmotic fragility. Functional RBC changes were assessed using hemoglobin-oxygen dissociation: p50. Results All shear-stress gradient RBCD measures were significantly altered in the diabetes cohort vs. nondiabetic controls, even after adjustment for confounding covariates (p

Abstract High-pressure diamond anvil cells have been widely used to create novel states of matter. Nevertheless, the lack of universal in-situ magnetic measurement techniques at megabar pressures makes it difficult to understand the underlying physics of materials’ behavior at extreme conditions, such as high-temperature superconductivity of hydrides and the formation or destruction of the local magnetic moments in magnetic systems. Here, we break through the limitations of pressure on quantum sensors by modulating the uniaxial stress along the nitrogen-vacancy axis and develop the in-situ magnetic detection technique at megabar pressures with high sensitivity ( $$\sim 1{{{\rm{\mu }}}}{{{\rm{T}}}}/\sqrt{{{{\rm{Hz}}}}}$$ ~ 1 μ T / Hz ) and sub-microscale spatial resolution. By directly imaging the magnetic field and the evolution of magnetic domains, we observe the macroscopic magnetic transition of Fe3O4 in the megabar pressure range from ferrimagnetic (α-Fe3O4) to weak ferromagnetic (β-Fe3O4) and finally to paramagnetic (γ-Fe3O4). The scenarios for magnetic changes in Fe3O4 characterized here shed light on the direct magnetic microstructure observation in bulk materials at high pressure and contribute to understanding magnetism evolution in the presence of numerous complex factors such as spin crossover, altered magnetic interactions and structural phase transitions.

Abstract The blood-brain barrier (BBB) is a critical interface that maintains the central nervous system homeostasis by controlling the exchange of substances between the blood and the brain. Disruption of the BBB plays a vital role in the development of neuroinflammation and neurological dysfunction in sepsis, but the mechanisms by which the BBB becomes disrupted during sepsis are not well understood. Here, we induced endotoxemia, a major type of sepsis, in mice by intraperitoneal injection of lipopolysaccharide (LPS). LPS acutely increased BBB permeability, activated microglia, and heightened inflammatory responses in brain endothelium and parenchyma. Concurrently, LPS or proinflammatory cytokines activated the NF-κB pathway, inhibiting Wnt/β-catenin signaling in brain endothelial cells in vitro and in vivo. Cell culture study revealed that NF-κB p65 directly interacted with β-catenin to suppress Wnt/β-catenin signaling. Pharmacological NF-κB pathway inhibition restored brain endothelial Wnt/β-catenin signaling activity and mitigated BBB disruption and neuroinflammation in septic mice. Furthermore, genetic or pharmacological activation of brain endothelial Wnt/β-catenin signaling substantially alleviated LPS-induced BBB leakage and neuroinflammation, while endothelial conditional ablation of the Wnt7a/7b co-receptor Gpr124 exacerbated the BBB leakage caused by LPS. Mechanistically, Wnt/β-catenin signaling activation rectified the reduced expression levels of tight junction protein ZO-1 and transcytosis suppressor Mfsd2a in brain endothelial cells of mice with endotoxemia, inhibiting both paracellular and transcellular permeability of the BBB. Our findings demonstrate that endotoxemia-associated systemic inflammation decreases endothelial Wnt/β-catenin signaling through activating NF-κB pathway, resulting in acute BBB disruption and neuroinflammation. Targeting the endothelial Wnt/β-catenin signaling may offer a promising therapeutic strategy for preserving BBB integrity and treating neurological dysfunction in sepsis.

Abstract Remaining useful life (RUL) is a key indicator for assessing the health status of lithium (Li)-ion batteries, and realizing accurate and reliable RUL prediction is crucial for the proper operation of battery systems. As high-capacity Li batteries have more complex chemical properties, most of the current RUL prediction methods rely mainly on a priori knowledge to make judgments. As a result, prediction accuracy is not high. In this study, we developed a health indicator-capacity (HI-C) dual Gaussian process regression (GPR) model based on incremental capacity analysis (ICA) and optimized its kernel function to achieve accurate RUL prediction for 280 Ah high-capacity Li batteries. Validation against the United States National Aeronautics and Space Administration’s four battery test datasets showed that the use of the HI-C dual GPR model resulted in a mean absolute percentage error and root mean square error of less than 0.02 and 0.04, respectively, for the four battery-rated capacity predictions. Additionally, this model achieved an absolute error of less than five battery failure turns. Compared with a single model, the HI-C dual GPR model not only had high accuracy but also solved the problem that the HI was not measurable in the actual battery operation, which made it more suitable for RUL prediction of Li batteries.

Abstract Background Fibroblast growth factors (FGFs) are cell signaling proteins that perform multiple biological processes in many biological processes (cell development, repair, and metabolism). The dynamics of tumor cells, such as angiogenesis, transformation, and proliferation, have a significant impact on neoplasia and are modulated by FGFs. FGFs’ expression and prognostic significance in ovarian cancer (OC), however, remain unclear. Methods Through a series of in silico analysis, we investigated the transcriptional, survival data, genetic variation, gene-gene interaction network, ferroptosis-related genes, and DNA methylation of FGFs in OC patients. Results We discovered that while FGF18 expression levels were higher in OC tissues than in normal OC tissues, FGF2/7/10/17/22 expression levels were lower in the former, and that FGF1/19 expression was related to the tumor stage in OC patients. According to the survival analysis, the clinical prognosis of individuals with OC was associated with the aberrant expression of FGFs. The function of FGFs and their neighboring genes was mainly connected to the cellular response to FGF stimulus. There was a negative correlation between FGF expression and various immune cell infiltration. Conclusions This study clarifies the relationship between FGFs and OC, which might provide new insights into the choice of prognostic biomarkers of OC patients.

Abstract Background Pitt–Hopkins syndrome (PTHS) is a rare neurodevelopmental disorder that results from variants of TCF4 gene. PTHS follows an autosomal dominant inheritance pattern and the underlying pathological mechanisms of this disease are still unclear. Methods Whole-genome sequencing (WGS) was conducted to screen for potential pathogenic variant in a boy highly suspected of having a genetic disorder. PCR and Sanger sequencing were used to verify the effects of the variant. Serum TCF4 levels were measured by ELISA. Results We present a 4-year and 3-month-old Chinese boy clinically and molecularly diagnosed with PTHS. The proband experienced global development delay, and the preliminary clinical diagnosis was cerebral palsy. WGS identified a de novo heterozygous variant: c.*1A > G in the 3’UTR of the TCF4 gene as a potential cause of his condition. The variant was verified to cause aberrant mRNA splicing by PCR and the aberrant splicing was confirmed by Sanger sequencing. Conclusion The study identified and demonstrated the pathogenicity of a novel 3’UTR site TCF4 variant for the first time. This research enhances understanding of pathogenetic mechanisms of PTHS and aids genetic counseling and diagnosis.

Abstract Background ‘Kimura’s disease (KD) is a rare chronic inflammatory disorder of unknown etiology and is difficult to diagnose due to poor clinical presentation and imaging features. Few studies on characteristics of 18F-FDG PET/CT of KD have been reported. This study aimed to observe the reliable characteristics and usefulness of 18F-FDG PET/CT for the evaluation of consecutive patients with KD. Methods The clinical data and 18F-FDG PET/CT imaging findings of 8 patients with pathologically confirmed KD were reviewed retrospectively.18F-FDG PET/CT images were evaluated visually and semiquantitatively by measuring the maximum standardized uptake value (SUVmax). The correlations between clinical data and 18F-FDG PET/CT features were analyzed by simple linear regression. Results This study included 7 males and one female ranging in age from 17 to 79 years. The longest diameter of lesions ranged from 0.8 cm to 4.8 cm, and regional or generalized lymphadenopathy was found in all 8 patients with eosinophilia, while subcutaneous masses and salivary gland involvement concurrently were found in 4 patients. 18F-FDG PET/CT revealed that these involved lesions had high 18F-FDG uptake with SUVmax > 2.5 (2.6 to 6.3). Moreover, the margin of the lesions was well defined in 6 cases and ill defined in 2 cases, and homogeneous density and 18F-FDG uptake were both found in all these lesions. There was negative correlation between eosinophils and SUVmax (R 2 = 0.538). Conclusions Kimura’s disease should be considered when 18F-FDG PET/CT is characterized by homogeneous lesions of regional or generalized lymphadenopathy, accompanied with subcutaneous masses and salivary gland involvement concurrently, especially in patients with eosinophilia.

Abstract Background There has been a sharp increase in the prevalence of hypertension in young and middle-aged people at high risk of the disease. Despite the fact that good self-management can be effective in controlling blood pressure, patients do not perform well in this area, resulting in poor blood pressure control. It is therefore particularly important to gain a thorough understanding of patients’ attitudes to self-management and the factors that influence them. The aim of this study was to synthesise the qualitative research on attitudes, motivations and challenges of self-management in young and middle-aged hypertensive patients, to analyse the synthesised results using the COM-B model and to propose appropriate improvement actions. Methods From the time of construction until May 2023, the system searched PubMed, Web of Science, ProQuest, Embase, MEDLINE, CINAHL, PsyCINFO and CNKI databases. The analyses were carried out using a thematic synthesis approach to summarise the key findings. The findings were then mapped and analysed using the COM-B model. Results A total of 11 studies were included, involving 250 patients between the ages of 18 and 64. Four themes with ten sub-themes were identified: Poor disease recognition (low disease perception, fuzzy disease knowledge); Barriers to doctor-patient interactions (short communication time, unmet knowledge needs, incomplete guidance for disease management); Living in a hostile environment (heavy workload, lack of companionship, ignorance of families); Expectations for a healthy body (responsibility of family roles, witness the cruelty of illness). Analysis of the composite results based on the COM-B model showed that low disease perceptions, barriers to doctor-patient interactions and life circumstances with enemies on all sides were the main challenges faced by young and middle-aged hypertensive patients, whereas the expectation of a healthy body was a motivation to promote self-management of blood pressure in patients. Conclusions This study shows that family responsibilities are a particular motivator for self-management in young and middle-aged hypertensive patients. In response to the problems they face, we believe that meeting patients’ knowledge needs, improving healthcare professionals’ communication skills and valuing the role of community hospitals are effective ways to promote patient self-management. In the future, telemedicine, mobile healthcare and intelligent monitoring devices will provide a solution to reduce the burden on medical resources. Systematic review registration PROSPERO CRD42018100810.

Abstract Background Altered volumes in the hippocampus and amygdala have been linked to anorexia nervosa (AN). This study aimed to investigate amygdala and hippocampal subfields volume abnormalities in AN patients, and their associations with parental rearing practices and clinical psychological characteristics. Methods This study included twenty-nine drug-naive females with AN from West China Hospital of Sichuan University, China, and fifty-nine age- and gender-matched healthy controls (HCs) recruited through advertisement. All participants underwent T1-weighted imaging. Amygdala and hippocampal subfields volume was calculated using FreeSurfer 7.0. The Core Self-Evaluation Scale (CSES) and Rosenberg Self-Esteem Scale (RSES) were used to assess the psychological characteristics of AN patients. The Egna Minnen av Barndoms Uppfostran (EMBU) was employed to evaluate parental rearing practices. Group differences in brain volumes were analyzed with covariates like age and total intracranial volume (TIV). Partial correlation analysis explored the correlations between brain region volumes and clinical psychological characteristics. Results AN patients exhibited lower RSES and CSES scores, and more adverse parental rearing style than healthy norms. After adjusting for covariates, AN patients showed decreased gray matter volume (GMV) in the left medial (Me) and cortical (Co) nucleus, as well as in the right hippocampal-amygdala transition area (HATA). GMV in the left Me was correlated with years of education among HCs but not among AN patients. GMV in the right HATA was positively correlated with paternal penalty and severity, as well as maternal overinterference. Conclusion This study supports structure abnormalities in amygdala and hippocampus in AN patients and suggests that parental rearing practices may be associated with hippocampal abnormalities, potentially contributing to the pathophysiology of AN. Addressing appropriate parental rearing styles may offer a positive impact on AN.

Abstract Second‐life batteries (SLBs), which are batteries retired from electric vehicles (EVs), can be used as energy storage systems to enhance the performance of distribution networks. Two issues should be addressed particularly for the optimal sizing of SLBs. Compared with fresh batteries, the failure rate of SLBs is relatively high, and timely and preventive replacement is needed. In addition, the flexibility introduced by EVs and installed SLBs should be coordinated to achieve optimal economic benefits. This paper focuses on the efficient utilization of SLBs by highlighting reliability‐flexibility concerns in optimal sizing. The model is formulated as a bi‐level model. On the upper‐level, considering the operational reliability constraints of SLBs, decisions regarding the investment and replacement of SLBs are optimized. Distribution network operations are improved on the lowerlevel, with an effective spatiotemporal flexible dispatch strategy for EVs. Finally, a linearized process for the optimal sizing of SLBs is presented and efficiently implemented. The Sioux Falls network and IEEE 69‐node distribution network are coupled as the test system. According to the simulation results, when the state of health of the SLBs decreased to 70%, the conditions were unreliable. The differences in the optimal SLB size and costs considering reliability and flexibility are highlighted.

The multi-mode integrated railway system, anchored by the high-speed railway, caters to the diverse travel requirements both within and between cities, offering safe, comfortable, punctual, and eco-friendly transportation services. With the expansion of the railway networks, enhancing the efficiency and safety of the comprehensive system has become a crucial issue in the advanced development of railway transportation. In light of the prevailing application of artificial intelligence technologies within railway systems, this study leverages large model technology characterized by robust learning capabilities, efficient associative abilities, and linkage analysis to propose an Artificial-intelligent (AI)-powered railway control and dispatching system. This system is elaborately designed with four core functions, including global optimum unattended dispatching, synergetic transportation in multiple modes, high-speed automatic control, and precise maintenance decision and execution. The deployment pathway and essential tasks of the system are further delineated, alongside the challenges and obstacles encountered. The AI-powered system promises a significant enhancement in the operational efficiency and safety of the composite railway system, ensuring a more effective alignment between transportation services and passenger demands.

Existing solutions for collaborative trajectory planning using multiple UAVs suffer from issues such as low accuracy, instability, and slow convergence. To address the aforementioned issues, this paper introduces a new method for multiple unmanned aerial vehicle (UAV) 3D terrain cooperative trajectory planning based on the cuckoo search golden jackal optimization (CS-GJO) algorithm. A model for single UAV trajectory planning and a model for multi-UAV collaborative trajectory planning have been developed, and the problem of solving the models is restructured into an optimization problem. Building upon the original golden jackal optimization, the use of tent chaotic mapping aids in the generation of the golden jackal’s initial population, thereby promoting population diversity. Subsequently, the position update strategy of the cuckoo search algorithm is combined for purpose of update the position information of individual golden jackals, effectively preventing the algorithm from getting stuck in local minima. Finally, the corresponding nonlinear control parameter were developed. The new parameters expedite the decrease in the convergence factor during the pre-exploration stage, resulting in an improved overall search speed of the algorithm. Moreover, they attenuate the decrease in the convergence factor during the post-exploration stage, thereby enhancing the algorithm’s global search. The experimental results demonstrate that the CS-GJO algorithm efficiently and accurately accomplishes multi-UAV cooperative trajectory planning in a 3D environment. Compared with other comparative algorithms, the CS-GJO algorithm also has better stability, higher optimization accuracy, and faster convergence speed.

Abstract Background Tea is an important cash crop and buds are its main product. To elucidate the molecular mechanism of the sprouting time of tea plants, ‘Yuchunzao’, which was an early sprouting tea cultivar, was studied. ‘Echa 1’, sprout one week later than ‘Yuchunzao’ in spring, was used as the control. Results A total of 26 hormonal compounds and its derivatives in tea plants were qualified by using Ultra Performance Liquid Chromatography-Tandem mass spectrometry (UPLC-MS/MS). The result showed that GA20, GA3 and ICA were significantly different in ‘Yuchunzao’ than in ‘Echa 1’, with GA20 and GA3 up-regulated and ICA down-regulated. Based on the Illumina platform, transcriptome analysis revealed a total of 5,395 differentially expressed genes (DEGs). A diterpenoid biosynthesis related gene, gibberellin 2-oxidase 1 (CsGA2ox1), was downregulated in ‘Yuchunzao’ compared to ‘Echa 1’. CsGA2ox1 regulate the transformation of GA different forms in plants. The relative expression of CsGA2ox1 showed an adverse trend with the content of GA20 and GA3. Our results suggest that down regulation of CsGA2ox1 resulted in the accumulation of GA3 and GA20, and then promoted sprout of ‘Yuchunzao’. Conclusion This study provides theoretical basis of tea plants sprout and guides the tea breeding in practice.

Abstract Moso bamboo (Phyllostachys edulis), an ecologically and economically important forest species in East Asia, plays vital roles in carbon sequestration and climate change mitigation. However, intensifying climate change threatens moso bamboo survival. Here we generate high-quality haplotype-based pangenome assemblies for 16 representative moso bamboo accessions and integrated these assemblies with 427 previously resequenced accessions. Characterization of the haplotype-based pangenome reveals extensive genetic variation, predominantly between haplotypes rather than within accessions. Many genes with allele-specific expression patterns are implicated in climate responses. Integrating spatiotemporal climate data reveals more than 1050 variations associated with pivotal climate factors, including temperature and precipitation. Climate-associated variations enable the prediction of increased genetic risk across the northern and western regions of China under future emissions scenarios, underscoring the threats posed by rising temperatures. Our integrated haplotype-based pangenome elucidates moso bamboo’s local climate adaptation mechanisms and provides critical genomic resources for addressing intensifying climate pressures on this essential bamboo. More broadly, this study demonstrates the power of long-read sequencing in dissecting adaptive traits in climate-sensitive species, advancing evolutionary knowledge to support conservation.

Abstract The Mw 6.4 and 6.8 Guanshan-Chihshang earthquakes occurred on 17 and 18 September 2022 resulted in prominent surface ruptures within the Longitudinal Valley in eastern Taiwan, particularly along the Yuli fault. Approximately 18 h after the mainshock, we began to document the surface rupture near Yuli Town. Our result suggests the surface rupture formed a confined single left-lateral trace in the town of Yuli, characterized by a series of en échelon right-stepping left-lateral faulting geometry. The rupture of 2022 roughly matches the locations of 1951 surface ruptures inside Yuli Town, with a similar amount of left-lateral cross-fault displacement. North and South of the Yuli residential area, we identified several sections of the surface rupture distributed in the water-saturated paddy fields. The maximum left-lateral displacement recorded across the rupture can reach 1.4 m just south of Yuli, with the fault scarp resembling a high-angle west-dipping fault geometry. In addition to the co-seismic surface ruptures, our repeating cross-fault measurements show significant post-seismic shallow after-slip along the Yuli fault. The amount of post-seismic deformation within 3 months after the mainshock is close to, or even higher than the co-seismic cross-fault displacement, consistent with local witness accounts and post-event field photos which showed continuous damage and displacement of building floors and roads after the earthquake. Such shallow post-seismic slips were also observed along the main fault trace in the 2014 South Napa earthquake, and likely represent the shallow elastoplastic behavior of the sub-vertical fault in the young alluvial sediments.

Abstract Construction of a solid electrolyte interphase (SEI) of zinc (Zn) electrode is an effective strategy to stabilize Zn electrode/electrolyte interface. However, single-layer SEIs of Zn electrodes undergo rupture and consequent failure during repeated Zn plating/stripping. Here, we propose the construction of a robust bilayer SEI that simultaneously achieves homogeneous Zn2+ transport and durable mechanical stability for high Zn utilization rate (ZUR) and Coulombic efficiency (CE) of Zn electrode by adding 1,3-Dimethyl-2-imidazolidinone as a representative electrolyte additive. This bilayer SEI on Zn surface consists of a crystalline ZnCO3-rich outer layer and an amorphous ZnS-rich inner layer. The ordered outer layer improves the mechanical stability during cycling, and the amorphous inner layer homogenizes Zn2+ transport for homogeneous, dense Zn deposition. As a result, the bilayer SEI enables reversible Zn plating/stripping for 4800 cycles with an average CE of 99.95% (± 0.06%). Meanwhile, Zn | |Zn symmetric cells show durable lifetime for over 550 h with a high ZUR of 98% under an areal capacity of 28.4 mAh cm−2. Furthermore, the Zn full cells based on the bilayer SEI functionalized Zn negative electrodes coupled with different positive electrodes all exhibit stable cycling performance under high ZUR.

Abstract Background Migraine and insomnia are prevalent conditions that often co-occur, each exacerbating the other and substantially impacting the quality of life. The locus coeruleus (LC), a brainstem region responsible for norepinephrine synthesis, participates in pain modulation, sleep/wake cycles, and emotional regulation, rendering it a potential nexus in the comorbidity of migraine and insomnia. Disruptions in the LC-noradrenergic system have been hypothesized to contribute to the comorbidities of migraine and insomnia, although neuroimaging evidence in humans remains scarce. In this study, we aimed to investigate the intrinsic functional connectivity (FC) network of the LC in patients with comorbid migraine and subjective chronic insomnia and patients with migraine with no insomnia (MnI) using resting-state functional magnetic resonance imaging (rs-fMRI) and seed-based FC analyses. Methods In this cross-sectional study, 30 patients with comorbid migraine and chronic insomnia (MI), 30 patients with MnI, and 30 healthy controls (HCs) were enrolled. Participants underwent neuropsychological testing and rs-fMRI. The LC-FC network was constructed using seed-based voxel-wise FC analysis. To identify group differences in LC-FC networks, voxel-wise covariance analysis was conducted with sex and age as covariates. Subsequently, a partial correlation analysis was conducted to probe the clinical relevance of aberrant LC-FC in patients with MI and MnI. Results Except for the insomnia score, no other significant difference was detected in demographic characteristics and behavioral performance between the MI and MnI groups. Compared with HCs, patients with MI exhibited altered LC-FC in several brain regions, including the dorsomedial prefrontal cortex (DMPFC), anterior cerebellum, dorsolateral prefrontal cortex (DLPFC), thalamus, and parahippocampal gyrus (PHG). Lower FC between the LC and DLPFC was associated with greater insomnia severity, whereas higher FC between the LC and DMPFC was linked to longer migraine attack duration in the MI group. Conclusion Our findings reveal the presence of aberrant LC-FC networks in patients with MI, providing neuroimaging evidence of the interplay between these conditions. The identified LC-FC alterations may serve as potential targets for therapeutic interventions and highlight the importance of considering the LC-noradrenergic system in the management of MI.

Abstract Background Unhealthy lifestyles, which include unhealthy diet and unhealthy sleep duration, have been widely recognized as modifiable risk factors for depressive symptoms. This study aims to explore the associations between dietary quality, sleep duration, and depression symptoms, as well as their combined effects. Methods The NHANES 2007 to 2014 cycles provided the data for this study, in which 19,134 adults aged 20 years and older were included. Unhealthy diet, measured using an average Healthy Eating Index (HEI)-2015 score below the 60th percentile, and unhealthy sleep duration, measured as sleep duration at night less than 7 h or greater than/equal to 9 h, were the primary exposures. Then participants were divided into four different lifestyles. A weighted-multivariable logistic regression was employed, controlling for relevant variables. Furthermore, stratified analyses were conducted to assess the robustness of the findings and identify potential high-risk groups. Results The overall prevalence of depressive symptoms among all participants was 8.44%. Among the participants, 56.58% met the criteria for healthy sleep duration, and 24.83% scored at or above the 60th percentile on the HEI-2015. Unhealthy diet (OR: 1.40, 95% CI: 1.18–1.67, p

Sorghum faces significant production challenges due to drought stress. Melatonin has been demonstrated to play a crucial role in coping with stresses in plants. This study investigated the effect of exogenous melatonin on the sorghum seedling growth, photosynthetic capacity, and antioxidant system under drought stress. The results indicated that drought stress inhibited the growth of sorghum seedlings by a marked reduction in leaf relative water content, along with a significant increase in both malondialdehyde and hydrogen peroxide content. The drought stress also led to a significant diminution in chlorophyll contents, thereby curtailing the capacity for light energy capture. Furthermore, the efficiency of the photosynthetic electron transport chain was adversely impacted. However, the application of exogenous melatonin notably mitigated the adverse effects on sorghum seedlings under the drought stress. Additionally, it stimulated an elevation in the photosynthetic rate and a decrease in non-photochemical quenching. The exogenous melatonin also facilitated the preservation of the chloroplast ultra-structure and boosted the activity of antioxidant enzymes and the content of non-enzymatic antioxidants. Cluster heat maps and principal component analysis further revealed significant correlations among various parameters under different treatment conditions. These results highlight melatonin’s role in improving sorghum’s drought tolerance, which is beneficial for agricultural management.

Abstract With a national research-oriented atmosphere in tertiary institutions, many Chinese EFL teachers rise to the challenge by working collaboratively in professional communities, leading to increasing attention to collective agency. However, how their collective agency manifests remains underrepresented. Using a qualitative inductive method, this study investigated the manifestations of the collective agency among six university EFL teachers in a research institute of a Chinese university from a social cognitive perspective. It was found that the teachers’ collective agency manifested as their ability to form a collective mode of practice that aligned their professional goals and paths, to foster a dual-natured social network that supported professional development and to maintain a shared belief in group efficacy that enhanced collaboration and collective identity. The findings point to the importance of understanding collective agency as an emergent and contextualized phenomenon filled with complexities and nuances. Theoretically, the study enriches the understanding of the dynamism and complexities of teachers’ collective agency in a Chinese context and broadens the research perspectives of teacher collaboration. It also has practical implications for teachers and administrators who are seeking ways to cope with pressure in an era of research excellence.

Abstract Objective To investigate the impact of vasculogenic mimicry (VM) and postoperative adjuvant therapy on the prognosis and survival of patients with esophageal squamous cell carcinoma (ESCC), as well as to assess whether VM affects the clinical benefit of postoperative adjuvant therapy. Methods This single-center retrospective analysis included patients who underwent radical surgery for ESCC, which was documented in the medical record system. The presence or absence of VM in surgical specimens was determined using double staining with PAS/CD31. Stratification was applied based on adjuvant therapy and VM status. Survival curves and COX modeling were used to analyze the impact of the presence or absence of VM on the benefit of adjuvant therapy and the survival prognosis of patients. Results VM-positive patients were more prone to postoperative recurrence and metastasis. VM was identified as an independent risk factor for progression-free survival (PFS) (p

Accurate prediction of peptide spectra is crucial for improving the efficiency and reliability of proteomic analysis, as well as for gaining insight into various biological processes. In this study, we introduce Deep MS Simulator (DMSS), a novel attention-based model tailored for forecasting theoretical spectra in mass spectrometry. DMSS has undergone rigorous validation through a series of experiments, consistently demonstrating superior performance compared to current methods in forecasting theoretical spectra. The superior ability of DMSS to distinguish extremely similar peptides highlights the potential application of incorporating our predicted intensity information into mass spectrometry search engines to enhance the accuracy of protein identification. These findings contribute to the advancement of proteomics analysis and highlight the potential of the DMSS as a valuable tool in the field.