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This research aimed to investigate the effect of degree of milling on the cooking properties and edible quality of the sea rice. The study examined the cooking quality, sensory attributes, and texture properties of the cooked sea rice with different degree of milling. In this experiment, sea rice with different degree of milling (0%, 7.20%, 9.62%, 10.85% and 11.86%) were prepared by controlling the milling time. The quality attributes of cooked sea rice were analyzed by rapid viscosity analyzer (RVA), texture analyzer and sensory evaluation. As the milling degree increased from 0% to 11.86%, the total dietary fiber content in sea rice decreased by 86.07%, while protein content decreased by 31.84% and fat content decreased by 77.18%. Conversely, the starch content increased by 7.12%. The results of the study indicated significant increases in the water absorption, swelling rate, iodine blue value, and water solubility index (65~85 ℃) of sea rice by 129.66%, 178.45%, 114.63%, and 46.79%~103.89%, respectively (P0.05). Interestingly, the rice sensory evaluation score showed a substantial increase of 19.30%. The results of the study indicate that increasing the degree of milling of sea rice can improve its cooking properties, pasting characteristics, texture, overall sensory properties, and edible quality. Therefore, this study can provide a theoretical basis for choosing the suitable degree of milling of sea rice.

In this study, a 900 MPa grade hot-rolled ferrite/bainite high hole expansion steel was developed using thermomechanical controlled processing (TMCP) and medium-temperature coiling with a Ti–Nb–V multi-microalloy design. The effects of cooling rates and coiling temperatures on the microstructure, mechanical properties, and hole expansion behavior were systematically investigated. The steel, coiled at 600 °C and cooled at a controlled rate (10–25 °C/s), demonstrated an excellent balance of strength and ductility, achieving a tensile strength of 901 MPa and elongation of 23%. The microstructure consisted of approximately 62% ferrite and 38% bainite, characterized by a uniform and fine grain distribution. The high coiling temperature increased the content of Ti–Nb–V composite precipitates, while reduced cooling times promoted the formation of smaller precipitates primarily along dislocation lines and grain boundaries. A hole expansion ratio of 77% was achieved due to the optimized grain morphology and phase ratio, with refined grains and high-angle grain boundaries impeding crack propagation. Additionally, the increased presence of secondary precipitates strengthened the soft phase ferrite and enhanced the coordinated deformation between ferrite and bainite. These combined effects significantly improved the steel's resistance to crack propagation during hole expansion, making it a promising material for applications requiring high strength and formability.

Abstract Side‐scan sonar (SSS) detection is a key method in underwater environmental security and subsea resource development. However, many detection approaches primarily concentrate on tracking the evolution path of optical image object detection tasks when using acoustic images, resulting in complex structures and limited versatility. To tackle this issue, we introduce a pioneering dual‐domain multi‐frequency network (D2MFNet) meticulously crafted to harness the distinct characteristics of SSS image detection. In D2MFNet, a novel method for optimizing and improving the detection sensitivity in different frequency ranges called multi‐frequency combined attention mechanism (MFCAM) is proposed. This mechanism amplifies the relevance of dual‐domain features across different channels and spaces. Moreover, we introduce a dual‐domain feature pyramid network (D2FPN) significantly augments the depth and breadth of feature information in underwater small datasets. The methods offer plug‐and‐play functionality with substantial performance enhancements. Extensive experiments are conducted to validate the efficacy of the proposed techniques, and the results showcase their state‐of‐the‐art performance. MFCAM improves the mAP by 16.9% in the KLSG dataset and 15.5% in the SCTD dataset. The mAP of D2FPN was improved by 8.4% in the KLSG dataset and by 9.8% in the SCTD dataset. The code and models will be publicly available at https://dagshub.com/estrellaww00/D2MFNet.

Abstract This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. This deficiency can lead to frequency instability and cascading failures within the power system. A cooperative optimization model for the start‐up of multiple power supplies, designed to enhance the integration of new energy sources while maintaining system stability is proposed. The model incorporates primary frequency modulation and the intrinsic inertia support capabilities of self‐synchronous voltage source field stations, considering dynamic frequency constraints. Additionally, it employs new energy units with primary frequency modulation to provide inertia support during curtailment, particularly when conventional units cannot meet frequency standards due to existing constraints. Extensive simulations and comparative analyses demonstrate that the proposed model improves new energy utilization by up to 37.5% and reduces operational costs by approximately 16%, enhancing overall operational efficiency in high energy consumption scenarios.

Abstract Color centers, arising from zero-dimensional defects, exploit quantum confinement to access internal electron quantum degrees of freedom, holding potential for quantum technologies. Despite intensive research, the structural origin of many color centers remains elusive. In this study, we employ in-situ cathodoluminescence scanning transmission electron microscopy combined with integrated differential phase contrast imaging to examine how defect configuration in tungsten sulfide determines color-center emission. Using an 80-kV accelerated electron beam, defects were deliberately produced, visualized, excited in situ and characterized in real time in monolayer WS2 within hBN|WS2 | hBN heterostructures at 100 K. These color centers were simultaneously measured by cathodoluminescence microscopy and differentiated by machine learning. Supported by DFT calculations, our results identified a crucial sulfur vacancy configuration organized into featured vacancy pairs, generating stable and bright luminescence at 660 nm. These findings elucidate the atomic-level structure-exciton relationship of color centers, advancing our understanding and quantum applications of defects in 2D materials.

The tunable and reversible manufacturing function of stealth metamaterials is of great practical significance to adapt to complex electromagnetic environment. However, the low fault tolerance of existing manufacturing methods limits their further development and utilization. In this article, the microstructure evolution and phase transition mechanism of germanium telluride (GeTe) film under different deposition conditions, laser modes, and scanning parameters were investigated. The experimental results show that sputtering pressure and laser pulse width have important effects on the deposition and modulation of GeTe. There are sputtering pressure threshold (SPT) and pulse width threshold (PWT), which determine the crystallization evolution mode and phase transition performance of GeTe film, respectively. For each sputtering pressure and laser pulse width, there are optimal sputtering power and repetition induction times to achieve the best film deposition quality and reverse phase transition function. Finally, the rewritable broadband lossy absorber (RBLA) is fabricated based on laser induction research, which can achieve low reflection stealth function in the range of 8.4–15.7 GHz. After repeated induction, the performance of RBLA remains the same, which is consistent with simulation results. The process and mechanism of GeTe in the fabrication and modulation stage are systematically analyzed and discussed for the first time, which provides a new solution and good candidate for the fabrication and modulation of stealth materials.

Oxidative stress and aging lead to progressive senescence of nucleus pulposus (NP) cells, resulting in intervertebral disc (IVD) degeneration (IVDD). In some cases, degenerative IVD can further cause low back pain (LBP). Several studies have confirmed that delaying and rejuvenating the senescence of NP cells can attenuate IVDD. However, the relatively closed tissue structure of IVDs presents challenges for the local application of anti-senescence drugs. Here, we prepared an anti-senescence hydrogel by conjugating phenylboronic acid-modified gelatin methacryloyl (GP) with quercetin to alleviate IVDD by removing senescent NP cells. The hydrogel exhibited injectability, biodegradability, prominent biocompatibility and responsive release of quercetin under pathological conditions. In vitro experiments demonstrated that the hydrogel could reduce the expression of senescence markers and restore the metabolic balance in senescent NP cells. In vivo studies validated that a single injection of the hydrogel in situ could maintain IVD tissue structure and alleviate sensitivity to noxious mechanical force in the rat models, indicating a potential therapeutic approach for ameliorating IVDD and LBP. This approach helps prevent potential systemic toxicity associated with systemic administration and reduces the morbidity resulting from repeated injections of free drugs into the IVD, providing a new strategy for IVDD treatment.

Objective To compare the clinical effects of arthroscopically-assisted reduction and internal fixation (ARIF) combined with enhanced recovery after surgery (ERAS) and open reduction and internal fixation surgery (ORIF) in the treatment of posterior lateral tibial plateau fractures. MethodsSeventy patients with posterior lateral tibial plateau fractures in the Department of Orthopaedics, Xuzhou Central Hospital, from January 2020 to November 2022 were retrospectively selected and divided into ARIF group (with ERAS, n＝32) and ORIF group (without ERAS, n＝38) according to the treatment methods. All patients were evaluated for fracture type by imaging examination after admission. The operation time, length of hospital stay, early postoperative pain score (evaluated by visual analogue scale [VAS]), knee joint function (evaluated by hospital for special surgery [HSS] scale) at 3 months and thigh circumference difference at 6 months postoperatively were compared between the two groups. ResultsThe operation time in the ARIF group was significantly shorter than that in the ORIF group ([67.84±9.89] min vs [85.16±9.18] min, P＜0.001), and the length of hospital stay was significantly shorter in the ARIF group ([7.13±1.41] d vs [8.74±1.84] d, P＜0.001). On the third day after operation, the VAS score in the ARIF group was significantly lower than that in the ORIF group ([4.00±1.44] vs [5.39±1.24], P＜0.001). ARIF group had better joint function than ORIF group 3 months after operation, and the difference of 10 cm thigh circumference on patella in ARIF group was smaller than that in ORIF group 6 months after operation. ConclusionsCompared to ORIF, patients with posterior lateral tibial plateau fractures treated with ARIF combined with ERAS showed faster postoperative recovery, shorter hospital stay, and more precise clinical efficacy.

Abstract Background Totally implantable venous access devices (TIVADs) have been widely used for many years in the management of cancer patients. However, previous studies have rarely focused on the period surrounding TIVAD removal, which is a critically important phase for these devices. This study aims to address this gap by investigating the surgical approaches, timing, and associated complications related to the removal of TIVADs, thereby enhancing the management of these devices. Method A retrospective analysis was conducted on a cohort of 4,954 TIVAD extraction procedures performed at the Breast Center of the Fourth Hospital of Hebei Medical University between January 1, 2016, and August 1, 2023. Results Among 4,954 cases, the indwelling time of TIVADs for included patients ranged from 2 to 60 months. 4,882(98.5%) cases removed their TIVADs after completion of cancer treatment, while 72 cases (1.5%) were unplanned removal due to TIVADs related complications. Two surgical techniques were observed for port removal: in 20% of cases, the injection port was removed first, followed by the catheter; in 80% of cases, the catheter was removed first, followed by the injection port. Complications during TIVADs removal were observed in 13 cases (0.3%) including 2 cases of bleeding, 5 cases difficulty in removal of the port and catheter, and 6 cases representing of delayed wound healing. Longer indwelling time tended to have higher risk of developing catheter rupture and fracture. Conclusion This study provides valuable insights into the removal of TIVADs in cancer patients. Complications during removal were uncommon but included bleeding, difficulty in removing the port and catheter, and delayed wound healing. Additionally, longer indwelling times were associated with an increased risk of catheter rupture and fracture, highlighting the need for careful monitoring and timely removal of TIVADs to minimize potential complications. The findings of the study underscore the importance of optimizing TIVAD management, particularly during the removal phase, to improve patient outcomes.

Abstract The adaptability of insects to hosts has long been a focal point in the study of insect-plant interactions. The pea aphid (Acythosiphon pisum), a significant pest of numerous leguminous crops, not only inflicts direct economic losses but also disseminates various plant viruses. To understand how pea aphids adapt to diverse alfalfa varieties. We analyzed the differentially expressed genes (DEGs) of pea aphids in distinct alfalfa varieties using transcriptome sequencing, and subsequently conducted functional validation of these genes. Comparative analysis between pea aphids feeding on susceptible and resistant strains revealed that DEGs in aphids feeding on resistant strains were primarily associated with transcriptional enrichment in the sugar, amino acid, protein, and lipid metabolism pathways. Fourteen DEGs related to adaptation of the pea aphid to alfalfa were chosen, including five carboxylesterases (CarE), four cytochrome P450s, three glutathione S-transferases, and two peroxidases (POD). RT-qPCR results indicated significant up-regulation of two carboxylesterase genes and two peroxidase genes after 24 h of feeding resistant alfalfa (Gannong 5, GN5) compared to the susceptible varieties (Hunter River, LRH), particularly highlighting the high expression levels of ApCarE4 and ApPOD3. Simultaneously, RNAi-induced knockdown of ApCarE4 and ApPOD3 led to a higher mortality of pea aphids in the alfalfa Hunter River. These results indicate that ApPOD3 and ApCarE4 are involved in the detoxification of metabolic functions in the adaptation of pea aphids to host switching. These findings contribute to the understanding of pea aphid adaptation to host plants and lay a foundation for further exploration of the physiological roles of carboxylesterase and peroxidase genes in pea aphids.

Abstract The C-reactive protein-albumin-lymphocyte (CALLY) index, which integrates albumin, lymphocytes, and C-reactive protein levels, has emerged as a novel method to assess nutritional and inflammatory statuses in patients. This study examined the correlation between the CALLY index and sarcopenia risk using two cohorts: 1804 community dwellers from the NHANES database in the United States and 139 patients from the Department of Gerontology at Kunshan Hospital, China. In the US community cohort, RCS curve analysis was used to examine the non-linear relationship between inflammatory/nutritional markers and sarcopenia, subgroup analysis was also conducted. Logistic regression was employed to evaluate the association between the CALLY index and the risk of sarcopenia in both cohorts. Results demonstrated a significant non-linear relationship between the CALLY index and the risk of sarcopenia (P

Abstract Patients with traumatic brain injury (TBI) frequently exhibit concomitant immunosuppression. In this study, we evaluated the predictive values of soluble programmed death-1 (sPD-1) and soluble programmed death ligand-1 (sPD-L1) in patients with severe TBI. Peripheral blood sPD-1 and sPD-L1 levels were measured within 48 h of patient admission. A total of 20 healthy volunteers and 82 patients were enrolled in this study. The levels of sPD-1 and sPD-L1 were upregulated in patients with severe TBI (P

Abstract The precise cellular mechanisms underlying heightened proinflammatory cytokine production during coronavirus infection remain incompletely understood. Here we identify the envelope (E) protein in severe coronaviruses (SARS-CoV-2, SARS, or MERS) as a potent inducer of interleukin-1 release, intensifying lung inflammation through the activation of TMED10-mediated unconventional protein secretion (UcPS). In contrast, the E protein of mild coronaviruses (229E, HKU1, or OC43) demonstrates a less pronounced effect. The E protein of severe coronaviruses contains an SS/DS motif, which is not present in milder strains and facilitates interaction with TMED10. This interaction enhances TMED10-oligomerization, facilitating UcPS cargo translocation into the ER-Golgi intermediate compartment (ERGIC)—a pivotal step in interleukin-1 UcPS. Progesterone analogues were identified as compounds inhibiting E-enhanced release of proinflammatory factors and lung inflammation in a Mouse Hepatitis Virus (MHV) infection model. These findings elucidate a molecular mechanism driving coronavirus-induced hyperinflammation, proposing the E-TMED10 interaction as a potential therapeutic target to counteract the adverse effects of coronavirus-induced inflammation.

Abstract Background Accurate and robust drug response prediction is of utmost importance in precision medicine. Although many models have been developed to utilize the representations of drugs and cancer cell lines for predicting cancer drug responses (CDR), their performances can be improved by addressing issues such as insufficient data modality, suboptimal fusion algorithms, and poor generalizability for novel drugs or cell lines. Results We introduce TransCDR, which uses transfer learning to learn drug representations and fuses multi-modality features of drugs and cell lines by a self-attention mechanism, to predict the IC 50 values or sensitive states of drugs on cell lines. We are the first to systematically evaluate the generalization of the CDR prediction model to novel (i.e., never-before-seen) compound scaffolds and cell line clusters. TransCDR shows better generalizability than 8 state-of-the-art models. TransCDR outperforms its 5 variants that train drug encoders (i.e., RNN and AttentiveFP) from scratch under various scenarios. The most critical contributors among multiple drug notations and omics profiles are Extended Connectivity Fingerprint and genetic mutation. Additionally, the attention-based fusion module further enhances the predictive performance of TransCDR. TransCDR, trained on the GDSC dataset, demonstrates strong predictive performance on the external testing set CCLE. It is also utilized to predict missing CDRs on GDSC. Moreover, we investigate the biological mechanisms underlying drug response by classifying 7675 patients from TCGA into drug-sensitive or drug-resistant groups, followed by a Gene Set Enrichment Analysis. Conclusions TransCDR emerges as a potent tool with significant potential in drug response prediction.

Abstract Background N4-Acetylcytidine (ac4C), a highly conserved post-transcriptional mechanism, plays a pivotal role in RNA modification and tumor progression. However, the molecular mechanism by which ac4C modification mediates tumor immunosuppression remains elusive in triple-negative breast cancer (TNBC). Methods NAT10 expression was analyzed in TNBC samples in the level of mRNA and protein, and compared with the corresponding normal tissues. ac4C modification levels also measured in the TNBC samples. The effects of NAT10 on immune microenvironment and tumor metabolism were investigated. NAT10-mediated ac4C and its downstream regulatory mechanisms were determined in vitro and in vivo. The combination therapy of targeting NAT10 in TNBC was further explored. Results The results revealed that the loss of NAT10 inhibited TNBC development and promoted T cell activation. Mechanistically, NAT10 upregulated JunB expression by increasing ac4C modification levels on its mRNA. Moreover, JunB further up-regulated LDHA expression and facilitated glycolysis. By deeply digging, remodelin, a NAT10 inhibitor, elevated the surface expression of CTLA-4 on T cells. The combination of remodelin and CTLA-4 mAb can further activate T cells and inhibite tumor progression. Conclusion Taken together, our study demonstrated that the NAT10-ac4C-JunB-LDHA pathway increases glycolysis levels and creates an immunosuppressive tumor microenvironment (TME). Consequently, targeting this pathway may assist in the identification of novel therapeutic strategies to improve the efficacy of cancer immunotherapy.

Abstract This study focuses on the highway platoon driving mode and proposes a distributed adaptive control algorithm based on an observer. Firstly, the adaptive observer is designed to compensate for the effect of unknown driving resistance and thus enhance the adaptation ability of the system to uncertainty. Secondly, an auxiliary system is introduced to specifically address actuator saturation constraints, ensuring the stability of the platoon driving in extreme conditions. Lastly, combining an event‐triggered mechanism, a control strategy is designed to achieve the stability of the entire platoon while maximizing the conservation of communication resources. The algorithm's viability and efficiency are confirmed through simulation outcomes.

Abstract Generative artificial intelligence translation (GenAIT) brings convenience yet also imposes severe challenges on the dissemination of knowledge. The respective (dis)advantages of GenAIT and human translation (HT), and the ways to promote their effective interaction have not been sufficiently explored yet. This study investigates the linguistic features of GenAIT and HT of scientific texts rendered from English to Chinese from lexical and syntactic levels. The GenAIT is generated by ChatGPT 3.5, a representative GenAI platform, while HTs are done by 19 Master-of-Translation-and-Interpreting students in China. Data shows that GenAIT and HTs present distinguished linguistic features in both levels. At the lexical level, HT exhibits lengthier texts with a lower average word diversity; GenAIT presents higher accuracy in translating terminology. At the syntactic level, the average sentence count in HT is greater, whereas its average sentence length measured in tokens is shorter. Moreover, human translators tend to transform sentences from passive voice into active voice more frequently than ChatGPT 3.5 does. Furthermore, human translators exhibit superior skills in deconstructing lengthy and complex sentences into shorter, more comprehensible clauses. This study reveals that ChatGPT 3.5 and human translators exhibit complementary capabilities in the translation of scientific texts, thereby suggesting an optimisation of the strengths inherent to both parties. Implications are provided for future translator training, language service providers and the ongoing development of GenAIT and HT.

Abstract Objective To evaluate the prediction value of Dual-energy CT (DECT)-based quantitative parameters and radiomics model in preoperatively predicting muscle invasion in bladder cancer (BCa). Materials and methods A retrospective study was performed on 126 patients with BCa who underwent DECT urography (DECTU) in our hospital. Patients were randomly divided into training and test cohorts with a ratio of 7:3. Quantitative parameters derived from DECTU were identified through univariate and multivariate logistic regression analysis to construct a DECT model. Radiomics features were extracted from the 40, 70, 100 keV and iodine-based material-decomposition (IMD) images in the venous phase to construct radiomics models from individual and combined images using a support vector machine classifier, and the optimal performing model was chosen as the final radiomics model. Subsequently, a fusion model combining the DECT parameters and the radiomics model was established. The diagnostic performances of all three models were evaluated through receiver operating characteristic (ROC) curves and the clinical usefulness was estimated using decision curve analysis (DCA). Results The normalized iodine concentration (NIC) in DECT was an independent factor in diagnosing muscle invasion of BCa. The optimal multi-image radiomics model had predictive performance with an area-under-the-curve (AUC) of 0.867 in the test cohort, better than the AUC = 0.704 with NIC. The fusion model showed an increased level of performance, although the difference in AUC (0.893) was not statistically significant. Additionally, it demonstrated superior performance in DCA. For lesions smaller than 3 cm, the fusion model showed a high predictive capability, achieving an AUC value of 0.911. There was a slight improvement in model performance, although the difference was not statistically significant. This improvement was observed when comparing the AUC values of the DECT and radiomics models, which were 0.726 and 0.884, respectively. Conclusion The proposed fusion model combing NIC and the optimal multi-image radiomics model in DECT showed good diagnostic capability in predicting muscle invasiveness of BCa.

Abstract Background To investigate the knowledge, attitudes, and practices (KAP) of individuals who underwent small incision lenticule extraction (SMILE) surgery and explore the influencing factors. Methods This cross-sectional study was conducted from June 21, 2023, to August 13, 2023, at Xiangyang Central Hospital. The participants were patients who had undergone SMILE surgery. The self-designed questionnaire had a Cronbach’s α = 0.849. Multivariable analyses were performed to determine the factors influencing the KAP scores. Results Finally, 485 valid questionnaires were analyzed. The median knowledge score was 14 (/17, 82.4%; IQR: 12–15). The median attitude score was 15 (/20, 75.0%; IQR: 14–16). The median practice score was 48 (/60, 80.0%; IQR: 42–54). The knowledge scores correlated to the attitude (r = 0.323, P

Abstract This research applies and integrates transactive memory systems (TMS) theory and the Big Five personality traits model to investigate the performance dynamics of dyadic teams engaged in virtual collaborative problem-solving (CPS). Specifically, this study examines how the personal attributes of team members, including their expertness and Big Five personality traits (extraversion, agreeableness, openness, conscientiousness, and neuroticism), as well as the resultant diversity in expertness and Big Five personality traits within teams, influence both team-level and individual-level performance gain from virtual collaboration. Studying 377 dyadic teams composed of 754 individuals working on an online collaborative intellective task, this research found that dyads with high expertness diversity had greater performance gain from virtual collaboration than dyads with low expertness diversity. Further, dyads, where both members scored low on agreeableness, showed the most significant improvement in team performance. At the individual level, a team member who had a low expertness level but was paired with a high-expertness teammate demonstrated the greatest performance gain from virtual collaboration. The integration of TMS theory and the Big Five personality traits model provides a richer and more nuanced understanding of how individual attributes and team dynamics contribute to successful virtual CPS outcomes.

Abstract Persistent subretinal fluid (PSF) after scleral bucking of rhegmatogenous retinal detachment may delay recovery and affect the final visual quality, but with no effective treatment. This study firstly investigated the safety and efficacy of 577 nm yellow subthreshold micropulse laser (SML) on PSF after scleral bucking surgery. This double-masked randomized clinical trial was conducted from December 2020 to October 2022 at Chongqing Aier Eye Hospital. Participants with PSF last for 1 month after scleral bucking surgery with break closed and retina reattachment were recruitment. These participants were treated by 577 nm yellow SML or sham treatment. Funduscopy, optical coherence tomography (OCT) volume change, best corrected vision acuity (BCVA) and visual field test were evaluated for six mouths follow-up. A total of 24 participants were randomized into SML group or Sham group equally. Compared with Sham group, the OCT volume within 6 mm of macular fovea was significantly less in SML group 6 months after therapy (P = 0.048). There were no statistically significant differences of OCT volume at 1, 2 and 3 months from baseline between groups. BCVA of ETDRS letters had no statistically significant difference. Pattern Standard Deviation amelioration (P = 0.039) had statistically significance in SML group compared with Sham group. There were no complications in the 2 groups. These preliminary findings suggest that 577 nm yellow SML therapy could accelerate PSF absorption after scleral bucking surgery. Trial registration: Chinese Clinical Trial Registry No. ChiCTR2000037838, 02/09/2020, https://www.chictr.org.cn/showproj.html?proj=51885 .

Abstract Rutin is a natural flavonoid compound that is widely found in a variety of plants and has a variety of biological effects, including anti-inflammatory, antioxidant, and anti-tumor effects. Rutin has been shown to have anti-tumor effects in a variety of cancers, but its effects on gastric cancer need to be further explored. The aim of this study was to explore the effects of Rutin on gastric cancer cells and the potential molecular regulatory mechanisms. Gastric cancer cells (AGS and MGC803) were treated with different concentrations of Rutin. Cell proliferation, apoptosis, migration, and invasion were determined by MTT, flow cytometry, scratch assay, and Transwell analysis, respectively. Cell epithelial mesenchymal transition (EMT) markers and Wnt/β-catenin pathway were analyzed by RT-qPCR and western blot assay. The results showed that Rutin significantly inhibited the proliferation, migration and invasion ability of gastric cancer cells, induced apoptosis, and suppressed the EMT process. Further experiments revealed that Rutin achieved the effect of inhibiting the biological behavior of gastric cancer cells by suppressing the activation of the Wnt/β-catenin pathway. Therefore, Rutin may become a potential therapeutic candidate for gastric cancer.

Abstract Object Evaluation of the impact of patients’ participation on postoperative recovery and satisfaction who underwent the Percutaneous Endoscopic Interlaminar Discectomy(PEID). Methods We collected data from sixty-nine patients who underwent PEID surgery at Chuzhou Chinese and Western Medicine Hospital between January 2020 and December 2022. All patients had L5/S1 lumbar disc herniation and met the inclusion and exclusion criteria. The patients were divided into two groups: non-communication group (n = 33) and communication group (n = 36). The division was made based on whether the patients had preoperative surgical video viewing and intraoperative communication. We compared the baseline data, surgical time, VAS score, lumbar JOA score, surgical complications, and patient satisfaction between the two groups. Result The communication group showed better pain control and functional recovery in the early postoperative period. The communication group had better VAS scores on the first day and month after surgery, as well as JOA scores on the first week and month after surgery, with statistically significant differences (P

Abstract Background The internal heterogeneity of breast cancer, notably the tumor microenvironment (TME) consisting of malignant and non-malignant cells, has been extensively explored in recent years. The cells in this complex cellular ecosystem activate or suppress tumor immunity through phenotypic changes, secretion of metabolites and cell-cell communication networks. Macrophages, as the most abundant immune cells within the TME, are recruited by malignant cells and undergo phenotypic remodeling. Tumor-associated macrophages (TAMs) exhibit a variety of subtypes and functions, playing significant roles in impacting tumor immunity. However, their precise subtype delineation and specific function remain inadequately defined. Methods The publicly available single-cell transcriptomes of 49,141 cells from eight breast cancer patients with different molecular subtypes and stages were incorporated into our study. Unsupervised clustering and manual cell annotation were employed to accurately classify TAM subtypes. We then conducted functional analysis and constructed a developmental trajectory for TAM subtypes. Subsequently, the roles of TAM subtypes in cell-cell communication networks within the TME were explored using endothelial cells (ECs) and T cells as key nodes. Finally, analyses were repeated in another independent publish scRNA datasets to validate our findings for TAM characterization. Results TAMs are accurately classified into 7 subtypes, displaying anti-tumor or pro-tumor roles. For the first time, we identified a new TAM subtype capable of proliferation and expansion in breast cancer-TUBA1B+ TAMs playing a crucial role in TAMs diversity and tumor progression. The developmental trajectory illustrates how TAMs are remodeled within the TME and undergo phenotypic and functional changes, with TUBA1B+ TAMs at the initial point. Notably, the predominant TAM subtypes varied across different molecular subtypes and stages of breast cancer. Additionally, our research on cell-cell communication networks shows that TAMs exert effects by directly modulating intrinsic immunity, indirectly regulating adaptive immunity through T cells, as well as influencing tumor angiogenesis and lymphangiogenesis through ECs. Conclusions Our study establishes a precise single-cell atlas of breast cancer TAMs, shedding light on their multifaceted roles in tumor biology and providing resources for targeting TAMs in breast cancer immunotherapy.

Abstract Electric vehicles (EVs) and small photovoltaic (PV) installations advance residential power grids by lowering charging costs and fostering eco‐friendly operations. Yet, the variable nature of EV charging presents challenges to grid reliability. This research introduces a Monte Carlo‐based simulation for predicting EV charging loads and a systematic charging method that integrates a ‘green electricity’ pricing scheme with a joint optimization model for PV and EV management. By applying an improved ant lion optimizer (IALO) algorithm enriched with differential evolution features, an optimization strategy that markedly enhances grid performance is devised. In a park scenario, this ‘green electricity’ model reduced the mean square error of EV charging load by 11.82%, smoothed the power load curve, and improved grid stability. When compared with particle swarm optimization (PSO) and grey wolf optimizer (GWO) algorithms, the IALO algorithm boosted overall revenue by 16.8% and 12.8%, increased PV utilization by 162.3% and 37.1%, and significantly cut carbon emissions by 159.6% and 31.6%, respectively. These outcomes affirm the financial, environmental, and functional benefits of our proposed approach.

The purpose of this study was to reduce the loss of spent laying hens during slaughtering by adjusting the parameters of scalding. The research object of this study was the spent laying hens with a rearing age of more than 400 days. The research meant to explore the effect of scalding methods on feather removing and muscle overheating. Three scalding parameters were set as follow: 65 ℃-3 min (high temperature scalding, HS), 60 ℃-4 min 20 s (medium temperature and slow scalding, MSS), and 58 ℃-4 min 20 s (low temperature and slow scalding, LSS). Broilers without scalding were set as the control group. The defeathering effect was characterized by measuring the feather retention force (FRF) and counting the number of feathers remaining after defeathering. The overheating degree of breast muscle was characterized by measuring meat color, depth of overheating area, DSC scanning and Raman spectrum scanning. The results showed that no significant difference in feather removal effects between HS treatments and LSS treatments, while the feather retention force and residual feather number of MSS treatment were significantly lower than those of the other two groups (P

Abstract Background Haemaphysalis qinghaiensis is a tick species distributed only in China. Due to its ability to transmit a variety of pathogens, including species of the genera Anaplasma, Rickettsia, Babesia, and Theileria, it seriously endangers livestock husbandry. However, the microbial community of the midgut of H. qinghaiensis females collected from yaks and Tibetan sheep has not yet been characterized using metagenomic sequencing technology. Methods Haemaphysalis qinghaiensis were collected from the skins of yaks and Tibetan sheep in Gansu Province, China. Genomic DNA was extracted from the midguts and midgut contents of fully engorged H. qinghaiensis females collected from the two hosts. Metagenomic sequencing technology was used to analyze the microbial community of the two groups. Results Fifty-seven phyla, 483 genera, and 755 species were identified in the two groups of samples. The ticks from the two hosts harbored common and unique microorganisms. At the phylum level, the dominant common phyla were Proteobacteria, Firmicutes, and Mucoromycota. At the genus level, the dominant common genera were Anaplasma, Ehrlichia, and Pseudomonas. At the species level, bacteria including Anaplasma phagocytophilum, Ehrlichia minasensis, and Pseudomonas aeruginosa along with eukaryotes such as Synchytrium endobioticum and Rhizophagus irregularis, and viruses such as the orf virus, Alphadintovirus mayetiola, and Parasteatoda house spider adintovirus were detected in both groups. In addition, the midgut of H. qinghaiensis collected from yaks had unique microbial taxa including two phyla, eight genera, and 23 species. Unique microorganisms in the midgut of H. qinghaiensis collected from Tibetan sheep included two phyla, 14 genera, and 32 species. Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that the functional genes of the microbiome of H. qinghaiensis were annotated to six pathways, and the metabolic pathways included 11 metabolic processes, in which the genes involved in carbohydrate metabolism were the most abundant, followed by the genes involved in lipid metabolism. Conclusions These findings indicate that most of the microbial species in the collected H. qinghaiensis ticks were the same in both hosts, but there were also slight differences. The analytical data from this study have enhanced our understanding of the midgut microbial composition of H. qinghaiensis collected from different hosts. The database of H. qinghaiensis microbe constructed from this study will lay the foundation for predicting tick-borne diseases. Furthermore, a comprehensive understanding of tick microbiomes will be useful for understanding vector competency and interactions with ticks and midgut microorganisms. Graphical abstract

Abstract Background Immune checkpoint inhibitors (ICIs) are rapidly evolving in the management of bladder cancer (BLCA). Nevertheless, effective biomarkers for predicting immunotherapeutic outcomes in BLCA are still insufficient. Ferroptosis, a form of immunogenic cell death, has been found to enhance patient sensitivity to ICIs. However, the underlying mechanisms of ferroptosis in promoting immunotherapy efficacy in BLCA remain obscure. Methods Our analysis of The Cancer Genome Atlas (TCGA) mRNA data using single sample Gene Set Enrichment Analysis (ssGSEA) revealed two immunologically distinct subtypes. Based on these subtypes and various other public cohorts, we identified Apolipoprotein L6 (APOL6) as a biomarker predicting the efficacy of ICIs and explored its immunological correlation and predictive value for treatment. Furthermore, the role of APOL6 in promoting ferroptosis and its mechanism in regulating this process were experimentally validated. Results The results indicate that APOL6 has significant immunological relevance and is indicative of immunologically hot tumors in BLCA and many other cancers. APOL6, interacting with acyl-coenzyme A synthetase long-chain family member 4 (ACSL4), mediates immunotherapy efficacy by ferroptosis. Additionally, APOL6 is regulated by signal transducer and activator of transcription 1 (STAT1). Conclusions To conclude, our findings indicate APOL6 has potential as a predictive biomarker for immunotherapy treatment success estimation and reveal the STAT1/APOL6/GPX4 axis as a critical regulatory mechanism in BLCA.

Abstract Long-read sequencing holds great potential for characterizing complex microbial communities, yet taxonomic profiling tools designed specifically for long reads remain lacking. We introduce Melon, a novel marker-based taxonomic profiler that capitalizes on the unique attributes of long reads. Melon employs a two-stage classification scheme to reduce computational time and is equipped with an expectation-maximization-based post-correction module to handle ambiguous reads. Melon achieves superior performance compared to existing tools in both mock and simulated samples. Using wastewater metagenomic samples, we demonstrate the applicability of Melon by showing it provides reliable estimates of overall genome copies, and species-level taxonomic profiles.

Abstract Abnormalities in ether lipid metabolism as well as the formation of neutrophil extracellular traps have recently been recognized as detrimental factors affecting tumorigenesis and progression. However, the role of abnormal ether lipid metabolism in colorectal cancer (CRC) evolution has not been reported. Here we show that the lipid metabolism-related gene enoyl-CoA δ-isomerase 2 (ECI2) plays a tumor-suppressor role in CRC and is negatively associated with poor prognosis in CRC patients. We mechanistically demonstrate that ECI2 reduces ether lipid-mediated Interleukin 8 (IL-8) expression leading to decreased neutrophil recruitment and neutrophil extracellular traps formation for colorectal cancer suppression. In particular, ECI2 inhibits ether lipid production in CRC cells by inhibiting the peroxisomal localization of alkylglycerone phosphate synthase (AGPS), the rate-limiting enzyme for ether lipid synthesis. These findings not only deepen our understanding of the role of metabolic reprogramming and neutrophil interactions in the progression of CRC, but also provide ideas for identifying potential diagnostic markers and therapeutic targets for CRC.

Abstract Circularly polarized room temperature phosphorescence materials represent a state-of-the-art frontier of optical materials and exhibit promising applications in various fields. Herein, we fabricate a series of full-color circularly polarized room temperature phosphorescence materials, based on anionic cellulose derivatives and achiral luminophores. The ionic achiral substituents promote the spontaneous formation of chiral helical structure of cellulose derivatives via the electrostatic repulsion effect. There are multiple interactions between anionic cellulose derivatives and the doped luminophores, thus the chirality is transferred to luminophores and the non-radiative transition is inhibited. The resultant materials can be easily processed into large-scale film and flexible 3D objects with repeatable folding and curling properties. In addition, their phosphorescence performance shows to be excitation-dependence, time-dependence, visible-light excitation, and multi-responsiveness to humidity, temperature as well as pH value. Importantly, they recognize many enantiomers in an instrument-free visual mode, including amino acids, hydroxyl acids, organic phosphate and hydrobenzoin. These results provide insights into design of advanced optical materials which can be applied in multilevel information handling and chiral sensing.

Abstract Background ST-elevation myocardial infarction (STEMI) is a common acute ischemia heart disease that causes serious damage to human health worldwide. Even though morbidity and mortality have significantly decreased by percutaneous coronary intervention (PCI), an additional cardiac protection strategy is still required. Acupuncture therapy has presented a dominant cardiac protection in many studies lately. Thus, we aim to evaluate the effect and safety of acupuncture as an adjunctive therapy in STEMI patients after PCI through a randomized controlled trial. Methods/Design This study describes a protocol of multicenter, double-blinded, parallel-controlled, randomized controlled trial. Ninety-six patients with STEMI aged 18–85 years who undergoing PCI will be recruited from the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, The Affiliated Third Hospital of Chengdu Traditional Chinese Medicine University/Chengdu Pidu District Hospital of Traditional Chinese Medicine, and Zhaotong Municipal Hospital of Traditional Chinese Medicine. Participants will be randomly assigned (1:1 ratio) to the verum acupuncture plus basic therapy (i.e., treatment) group or the sham acupuncture plus basic therapy (i.e., control) group. These participants will be treated for 5 days and then will be followed up for 24 weeks. Any adverse events will be recorded throughout the study to evaluate safety. Discussion The present study aims to investigate the effect and safety of acupuncture for patients with STEMI after PCI and set up standardized treatment programs for acupuncture of these patients. Trial registration This study was registered in the Chinese Clinical Trial Registry (Registration ID: [ChiCTR2400081117]), on February 22, 2024.

Abstract Background Decoding human genomic sequences requires comprehensive analysis of DNA sequence functionality. Through computational and experimental approaches, researchers have studied the genotype-phenotype relationship and generate important datasets that help unravel complicated genetic blueprints. Thus, the recently developed artificial intelligence methods can be used to interpret the functions of those DNA sequences. Methods This study explores the use of deep learning, particularly pre-trained genomic models like DNA_bert_6 and human_gpt2-v1, in interpreting and representing human genome sequences. Initially, we meticulously constructed multiple datasets linking genotypes and phenotypes to fine-tune those models for precise DNA sequence classification. Additionally, we evaluate the influence of sequence length on classification results and analyze the impact of feature extraction in the hidden layers of our model using the HERV dataset. To enhance our understanding of phenotype-specific patterns recognized by the model, we perform enrichment, pathogenicity and conservation analyzes of specific motifs in the human endogenous retrovirus (HERV) sequence with high average local representation weight (ALRW) scores. Results We have constructed multiple genotype-phenotype datasets displaying commendable classification performance in comparison with random genomic sequences, particularly in the HERV dataset, which achieved binary and multi-classification accuracies and F1 values exceeding 0.935 and 0.888, respectively. Notably, the fine-tuning of the HERV dataset not only improved our ability to identify and distinguish diverse information types within DNA sequences but also successfully identified specific motifs associated with neurological disorders and cancers in regions with high ALRW scores. Subsequent analysis of these motifs shed light on the adaptive responses of species to environmental pressures and their co-evolution with pathogens. Conclusions These findings highlight the potential of pre-trained genomic models in learning DNA sequence representations, particularly when utilizing the HERV dataset, and provide valuable insights for future research endeavors. This study represents an innovative strategy that combines pre-trained genomic model representations with classical methods for analyzing the functionality of genome sequences, thereby promoting cross-fertilization between genomics and artificial intelligence.

Abstract Deep learning has enabled breakthroughs in automated diagnosis from medical imaging, with many successful applications in ophthalmology. However, standard medical image classification approaches only assess disease presence at the time of acquisition, neglecting the common clinical setting of longitudinal imaging. For slow, progressive eye diseases like age-related macular degeneration (AMD) and primary open-angle glaucoma (POAG), patients undergo repeated imaging over time to track disease progression and forecasting the future risk of developing a disease is critical to properly plan treatment. Our proposed Longitudinal Transformer for Survival Analysis (LTSA) enables dynamic disease prognosis from longitudinal medical imaging, modeling the time to disease from sequences of fundus photography images captured over long, irregular time periods. Using longitudinal imaging data from the Age-Related Eye Disease Study (AREDS) and Ocular Hypertension Treatment Study (OHTS), LTSA significantly outperformed a single-image baseline in 19/20 head-to-head comparisons on late AMD prognosis and 18/20 comparisons on POAG prognosis. A temporal attention analysis also suggested that, while the most recent image is typically the most influential, prior imaging still provides additional prognostic value.

Abstract Enhanced recovery after surgery (ERAS) has been successfully integrated into a diverse array of surgical fields to improve the quality and efficacy of treatment intervention. Nonetheless, the application of the ERAS protocol for patients with diabetic foot ulcer (DFU) subsequent to undergoing surgical procedures has not been previously explored. Therefore, this study aimed to investigate the effect of an enhanced recovery protocol on perioperative outcomes in patients with DFU following surgical procedures. A retrospective analysis was conducted on 112 patients with DFU who underwent surgery between January 2020 and December 2021 at a tertiary referral care center. In total, 57 patients received standard perioperative care (the non-ERAS group), and 55 patients received ERAS care (the ERAS group). The primary outcomes included the length of stay (LOS), wound healing time, patient satisfaction, and costs, serving as the basis for assessing the effectiveness of the two approaches. Secondary outcomes included preoperative anxiety (APAIS score), nutritional status (PG-SGA), pain (NRS score), the incidence of lower-extremity deep vein thrombosis (DVT), the reduction in lower-limb circumference, and the activity of daily living scale (Barthel Index). The ERAS group exhibited significantly shorter LOS (11.36 vs. 26.74 days; P 0.05). By reducing the LOS and hospital costs, and by minimizing perioperative complications, the ERAS protocol improves the quality and efficacy of treatment intervention in patients with DFU who underwent surgical procedures. Trial registration number: ChiCTR 2200064223 (Registration Date: 30/09/2022).

Abstract The relationship of weight change has extended to accelerated ageing, yet little is known about the association between weight change and anti-aging protein α-Klotho. This study included 10,972 subjects from the National Health and Nutrition Examination Survey 2007–2016. Participants were measured body weight and height at baseline and recalled weight at young adulthood and middle adulthood. α-Klotho concentrations were quantified. Generalized linear regression models were used to assess the association between weight change and α-Klotho. Across adulthood, maximal overweight, non-obese to obese, and stable obesity were consistently associated with lower serum Klotho levels. Compared with participants who remained at normal weight, from middle to late adulthood, participants experiencing maximal overweight, moving from the non-obese to obese, and maintaining obesity had 27.97 (95% CI: − 46.57 to − 9.36), 39.16 (95% CI: − 61.15 to − 17.18), and 34.55 (95% CI: − 55.73 to − 13.37) pg/ml lower α-Klotho, respectively; similarly, from young to late adulthood, those had 29.21 (95% CI: − 47.00 to − 11.42) , 34.14 (95% CI: − 52.88 to − 15.40), and 36.61 (95% CI: − 65.01 to − 8.21) lower, respectively. Interestingly, from middle to late adulthood, the absolute weight change values of 590 participants who changed from obese to non-obese were negatively associated with serum α-Klotho. Each 1 kg of weight loss during the process of changing from obese to non-obese brought about a relative increase in α-Klotho levels of 3.03 pg/ml. The findings suggest the potential role of weight management across adulthood for aging.

Abstract Background Recognizing the predictors of poor short-term prognosis after first-line immunotherapy in patients with anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is essential for individualized treatment strategy. The objective of this study was to ascertain the factors that forecast short-term prognosis in patients with anti-NMDAR encephalitis, develop a prognostic prediction model, and authenticate its efficacy in an external validation cohort. Further, all patients were followed-up long-term to assess the factors of long-term outcome and relapses. Methods A prospective enrollment of patients diagnosed with anti-NMDAR encephalitis was conducted across five clinical centers in China from June 2014 to Mar 2022. The enrolled patients were divided into the derivation and validation sets based on enrollment time. The short-term prognostic model was visualized using a nomogram. Further, all patients were followed-up long-term to assess the factors of long-term outcome. Results This study found that poor short-term prognosis was a risk factor for poor long-term outcome (6-month prognosis, OR 29.792, 95%CI 6.507-136.398, p

AIM: To quantitatively assess the changes in mean vascular tortuosity (mVT) and mean vascular width (mVW) around the optic disc and their correlation with gestational age (GA) and birth weight (BW) in premature infants without retinopathy of prematurity (ROP). METHODS: A single-center retrospective study included a total of 133 (133 eyes) premature infants [mean corrected gestational age (CGA) 43.6wk] without ROP as the premature group and 130 (130 eyes) CGA-matched full-term infants as the control group. The peripapillary mVT and mVW were quantitatively measured using computer-assisted techniques. RESULTS: Premature infants had significantly higher mVT (P=0.0032) and lower mVW (P=0.0086) by 2.68 (104 cm-3) and 1.85 μm, respectively. Subgroup analysis with GA showed significant differences (P=0.0244) in mVT between the early preterm and middle to late preterm groups, but the differences between mVW were not significant (P=0.6652). The results of the multiple linear regression model showed a significant negative correlation between GA and BW with mVT after adjusting sex and CGA (P=0.0211 and P=0.0006, respectively). For each day increase in GA at birth, mVT decreased by 0.1281 (104 cm-3) and for each 1 g increase in BW, mVT decreased by 0.006 (104 cm-3). However, GA (P=0.9402) and BW (P=0.7275) were not significantly correlated with mVW. CONCLUSION: Preterm birth significantly affects the peripapillary vascular parameters that indicate higher mVT and narrower mVW in premature infants without ROP. Alterations in these parameters may provide new insights into the pathogenesis of ocular vascular disease.

Abstract Background Understanding the interactions and dynamics of microbiotas within biological wastewater treatment systems is essential for ensuring their stability and long-term sustainability. In this study, we developed a systematic framework employing multi-omics and Hi-C sequencing to extensively investigate prokaryotic and phage communities within a hybrid biofilm and activated sludge system. Results We uncovered distinct distribution patterns, metabolic capabilities, and activities of functional prokaryotes through the analysis of 454 reconstructed prokaryotic genomes. Additionally, we reconstructed a phage catalog comprising 18,645 viral operational taxonomic units (vOTUs) with high length and contiguity using hybrid assembly, and a distinct distribution of phages was depicted between activated sludge (AS) and biofilm. Importantly, 1340 host-phage pairs were established using Hi-C and conventional in silico methods, unveiling the host-determined phage prevalence. The majority of predicted hosts were found to be involved in various crucial metabolic processes, highlighting the potential vital roles of phages in influencing substance metabolism within this system. Moreover, auxiliary metabolic genes (AMGs) related to various categories (e.g., carbohydrate degradation, sulfur metabolism, transporter) were predicted. Subsequent activity analysis emphasized their potential ability to mediate host metabolism during infection. We also profiled the temporal dynamics of phages and their associated hosts using 13-month time-series metagenomic data, further demonstrating their tight interactions. Notably, we observed lineage-specific infection patterns, such as potentially host abundance- or phage/host ratio-driven phage population changes. Conclusions The insights gained from this research contribute to the growing body of knowledge surrounding interactions and dynamics of host-phage and pave the way for further exploration and potential applications in the field of microbial ecology. Video Abstract

Abstract The mechanism regulating cellular senescence of postmitotic muscle cells is still unknown. cGAS-STING innate immune signaling was found to mediate cellular senescence in various types of cells, including postmitotic neuron cells, which however has not been explored in postmitotic muscle cells. Here by studying the myofibers from Zmpste24−/− progeria aged mice [an established mice model for Hutchinson-Gilford progeria syndrome (HGPS)], we observed senescence-associated phenotypes in Zmpste24−/− myofibers, which is coupled with increased oxidative damage to mitochondrial DNA (mtDNA) and secretion of senescence-associated secretory phenotype (SASP) factors. Also, Zmpste24−/− myofibers feature increased release of mtDNA from damaged mitochondria, mitophagy dysfunction, and activation of cGAS-STING. Meanwhile, increased mtDNA release in Zmpste24−/− myofibers appeared to be related with increased VDAC1 oligomerization. Further, the inhibition of VDAC1 oligomerization in Zmpste24−/− myofibers with VBIT4 reduced mtDNA release, cGAS-STING activation, and the expression of SASP factors. Our results reveal a novel mechanism of innate immune activation-associated cellular senescence in postmitotic muscle cells in aged muscle, which may help identify novel sets of diagnostic markers and therapeutic targets for progeria aging and aging-associated muscle diseases.

In the semiconductor industry, where miniaturization is a key driver, mechanical properties of ultra-thin dies are increasingly important research topics. Sub-surface damage (SSD) is a common issue in wafer thinning processes, but there is a lack of research on the relationship between SSD microstructure and ultra-thin die strength. In this study, the influence of SSD microstructure on flexural strength was investigated through three-point bending tests of ultra-thin dies prepared by distinct wafer-thinning methods, coupled with SSD microstructure characterization. Flexural strength was highest for dies dry polished with N pad, intermediate for dies dry polished with M pad, and lowest for dies with fine grinding. We researched SSD microstructure by high-resolution transmitted electron microscope (HRTEM), revealing that it comprises amorphous regions, micro-cracks, and high-density distortion areas. The SSD of the fine grinding samples was thick and intermittent, with observable micro-cracks. Comparatively, the SSD structure from M pad polishing was uniform but thicker, whereas SSD from N pad polishing was thinner but exhibited greater variability. SSD thickness not only influences the average value but also dictates the distribution of flexural strength. This research enhances the understanding of SSD microstructure's impact on ultra-thin die flexural strength, providing valuable insights for optimizing wafer thinning processes to enhance die reliability.

Abstract Objective To explore the role of different cells and molecules in the pathogenesis of allergic rhinitis (AR) with positive Artemisia allergen by detecting their expression levels. Methods From January 2021 to December 2022,200 AR patients diagnosed in the Otolaryngology Clinic of Ordos Central Hospital were selected as the AR group, and 50 healthy people who underwent physical examination in the hospital during the same period were randomly selected as the healthy control (HC) group. The levels of GATA-3mRNA, RORγtmRNA and FoxP3mRNA in peripheral blood mononuclear cells were detected by real-time fluorescence quantitative PCR (qRT-PCR). The proportions of Th2, Th17 and Treg cells were detected by flow cytometry. The concentrations of IL-4, IL-5, IL-17 and IL-10 in serum were detected by enzyme-linked immunosorbent assay. The differences of transcription gene level, immune cell ratio and cytokine concentration between the two groups were analyzed. Results There was no difference in age and gender between the two groups. The levels of GATA-3mRNA and RORγtmRNA transcription genes in peripheral blood mononuclear cells, the percentage of Th2, Th17 and Treg immune cells, the levels of eosinophils and basophils in peripheral blood, the concentrations of IL-4, IL-5, IL-17, IL-10 cytokines and IgE in serum of AR patients were significantly higher than those in HC group (P

Abstract Objectives Thoracic surgery is a complex field requiring advanced technical skills and critical decision-making. Surgical education must evolve to equip trainees with proficiency in new techniques and technologies. Methods This bibliometric analysis systematically reviewed 113 articles on thoracic surgery skills training published over the past decade, retrieved from databases including Web of Science. Publication trends, citation analysis, author and journal productivity, and keyword frequencies were evaluated. Results The United States contributed the most publications, led by pioneering institutions. Simulation training progressed from basic to sophisticated modalities and virtual reality emerged with transformative potential. Minimally invasive techniques posed unique learning challenges requiring integrated curricula. Conclusion Ongoing investments in educational research and curriculum innovations are imperative to advance thoracic surgery training through multidisciplinary strategies. This study provides an evidentiary foundation to optimize training and address the complexities of modern thoracic surgery.

Abstract Background Despite rapid advances in genomic-resolved metagenomics and remarkable explosion of metagenome-assembled genomes (MAGs), the function of uncultivated anaerobic lineages and their interactions in carbon mineralization remain largely uncertain, which has profound implications in biotechnology and biogeochemistry. Results In this study, we combined long-read sequencing and metatranscriptomics-guided metabolic reconstruction to provide a genome-wide perspective of carbon mineralization flow from polymers to methane in an anaerobic bioreactor. Our results showed that incorporating long reads resulted in a substantial improvement in the quality of metagenomic assemblies, enabling the effective recovery of 132 high-quality genomes meeting stringent criteria of minimum information about a metagenome-assembled genome (MIMAG). In addition, hybrid assembly obtained 51% more prokaryotic genes in comparison to the short-read-only assembly. Metatranscriptomics-guided metabolic reconstruction unveiled the remarkable metabolic flexibility of several novel Bacteroidales-affiliated bacteria and populations from Mesotoga sp. in scavenging amino acids and sugars. In addition to recovering two circular genomes of previously known but fragmented syntrophic bacteria, two newly identified bacteria within Syntrophales were found to be highly engaged in fatty acid oxidation through syntrophic relationships with dominant methanogens Methanoregulaceae bin.74 and Methanothrix sp. bin.206. The activity of bin.206 preferring acetate as substrate exceeded that of bin.74 with increasing loading, reinforcing the substrate determinantal role. Conclusion Overall, our study uncovered some key active anaerobic lineages and their metabolic functions in this complex anaerobic ecosystem, offering a framework for understanding carbon transformations in anaerobic digestion. These findings advance the understanding of metabolic activities and trophic interactions between anaerobic guilds, providing foundational insights into carbon flux within both engineered and natural ecosystems. Video Abstract

Abstract Background Norovirus gastroenteritis outbreaks were common in schools and kindergartens and were more related to faculty knowledge, attitude, and practice level. Gastroenteritis outbreaks caused by norovirus in educational institutions were the prominent cause of Public Health Emergency Events in China. This study aimed to explore the transformation in the contribution of KAP items related to outbreak prevention before and after intervention and the impact of demography factors on the intervention. Methods This study sampled 1095 kindergarten and 1028 school staff in Shenzhen, China. We created a questionnaire consisting of 35 items in 4 parts, and each item was rated on a scale of 1–5 according to the accuracy. Univariate analysis of non-parametric tests and binary logistic regression were used to estimate the score difference on demographic characteristics, each item and KAP. The odds ratios (OR) with 95% confidence and intervals (CI) for the association between statistical indicators were mainly used to explain the effects before and after intervention. Results Overall, 98.72% and 74.9% of the kindergarten and school participants were female, and all respondents had the highest scores difference of practice. Following intervention, univariate analysis indicated that primary school and female respondents achieved higher knowledge scores. Staff age beyond 35 (OR = 0.56, CI:0.34–0.92; OR = 0.67, CI:0.50–0.90) and with more than ten years of service (OR = 0.58, CI:0.36–0.91; OR = 0.38, CI:0.17–0.84) demonstrated a significantly lower post-intervention score for attitude and practice in both kindergartens and schools. The staff members exhibited a general lack of familiarity with the transmission of aerosols and the seasonal patterns of NoVs diarrhea pandemics. Item analysis revealed that kindergarten staff aged 26 and above demonstrated superior performance in terms of the efficacy of medical alcohol for inactivation (OR = 1.93, CI:1.13–3.31) and management strategies for unexplained vomiting among students (OR = 1.97, CI:1.21–3.18). Private school personnel displayed more significant improvement in their practices following educational interventions. School administrators' negative attitudes were primarily evident in their perspectives on morning inspections (OR = 0.11, CI:0.05–0.84). Conclusions The potential negative impact of faculty age on NoVs-related knowledge can be mitigated by the positive attitudes fostered through seniority. Furthermore, it is imperative to urgently address the lack of knowledge among administrators, and the identification and treatment of vomiting symptoms should be emphasized as crucial aspects of school prevention strategies. Therefore, education authorities should implement comprehensive public health interventions in the future.

Metagenomic research faces a persistent challenge due to the low concordance across studies. While matching host confounders can mitigate the impact of individual differences, the influence of factors such as genetics, environment, and lifestyle habits on microbial profiles makes it exceptionally challenging to create fully matched cohorts. The microbial metabolic background, which modulates microbial composition, reflects a cumulative impact of host confounders, serving as an ideal baseline for microbial sample matching. In this study, we introduced miMatch, an innovative metagenomic sample-matching tool that uses microbial metabolic background as a comprehensive reference for host-related variables and employs propensity score matching to build case-control pairs, even in the absence of host confounders. In the simulated datasets, miMatch effectively eliminated individual metabolic background differences, thereby enhancing the accuracy of identifying differential microbial patterns and reducing false positives. Moreover, in real metagenomic data, miMatch improved result consistency and model generalizability across cohorts of the same disease. A user-friendly web server (https://www.biosino.org/iMAC/mimatch) has been established to promote the integration of multiple metagenomic cohorts, strengthening causal relationships in metagenomic research.

Rapid urbanization produces billions of tons of concrete waste annually, with recycled concrete powder (RCP) posing significant challenges due to its high porosity and limited reusability. To overcome RCP’s inherent limitations and maximize resource utilization, we developed a novel “Recycled Concrete Powder Electrolyzer” for selective recovery of key components. This electrochemical method efficiently extracted Ca2＋ ions from RCP, achieving a 96% calcium extraction efficiency comparable to acid leaching. The process produced high-purity portlandite (94% purity; 65.58% yield) with crystal sizes below 30μm, ideal for cement manufacturing, while also recovering fine sand powder and silica-containing products. A Ca(NO3)2 electrolyte enhanced Ca2＋ migration and prevented membrane fouling, resulting in lower energy consumption compared to the NaNO3 system. By converting RCP into a carbon-free cement precursor and recovering valuable components, this approach demonstrates the feasibility of transforming problematic waste into sustainable construction materials. It offers a circular economy solution for concrete waste recycling, reducing landfill burden while providing a low-emission alternative for cement production.

Meat products for elderly people are high in sodium content and hardness. Thus, the aim of this study is to explore how ultrasound-assisted low-sodium salting improves meat quality and determine the conditions that result in meat tenderness ideal for people aged 65–74 years. The ultrasound-assisted treatment of bovine hip muscle with non-sodium salt (CaCl2 and C6H10CaO6) was adopted, followed by sous vide (SV) cooking (65 ℃ for 8–12 h). Results showed that ultrasound-assisted low-sodium salt curing can considerably reduce the shear force and hardness of beef (P < 0.05), promote the diffusion of Na+ (P < 0.05), and increase water content (P < 0.05), consistent with the water mobility results of low-field nuclear magnetic resonance. The tenderized effects were examined by Raman spectroscopy, which showed that the ordered α-helix and β-fold contents of the meat proteins decreased, and disordered β-turn and random coil contents increased after heat treatment with ultrasound-assisted low-sodium salt curing. Scanning electron microscopy revealed that the degree of muscle fiber destruction by ultrasound-assisted low-sodium salt curing combined with heat treatment was higher than that observed after traditional cooking with high amounts of sodium. With regard to tenderness, beef marinated with ultrasound-assisted C6H10CaO6 and subjected for 10 h was preferred by people aged 65–74 years. Ultrasound-assisted low-sodium salt curing can improvements on simultaneously reduce the sodium content and enhance the tenderness of meat products for elderly people, and provides an ultrasonic scheme for meat processing using non-sodium salt.

Conventional concrete is susceptible to damage under long-term loading due to its brittleness and susceptibility to cracking, affecting structural stability and durability. Polyurethane (PU) has good toughness and bonding ability, making it ideal for improving concrete properties. In this study, PU was mixed with cement and aggregate in a certain proportion to prepare PU-based composites to evaluate the effect of the content of each component on their mechanical properties. Polyurethane cement (PU-cement) was produced by mixing PU and cement, polyurethane mortar (PU-mortar) was made by adding standard sand to PU-cement, and polyurethane concrete (PU-concrete) was created by adding gravel to PU-mortar. The compressive and flexural properties of the three materials were tested, and the bubble characteristics of the fracture surfaces of the specimens were observed. The compressive and flexural strengths of PU-cement were 51.1 MPa and 31.1 MPa, respectively. Compared to PU-cement, the compressive and flexural strengths of PU-mortar were improved by 48.9 % and 10.9 %, respectively, and those of PU-concrete were improved by 28.4 % and 1.3 %, respectively. The highest flexural strength of the specimen is achieved when the number of bubbles and air content are minimized. Optimal flexural strength was achieved when bubble and air content were minimized. This study refined the proportions of PU-based composites and systematically evaluated their mechanical properties, demonstrating the importance of proper component proportioning in enhancing material properties. The findings also guide the application of PU-based composites in construction.