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Objective: It is a common clinical phenomenon that blood infiltrates into the injured tendon caused by sports injuries, accidental injuries, and surgery. However, the role of blood infiltration into the injured tendon has not been investigated. Methods: A blood-induced rat model was established and the impact of blood infiltration on inflammation and HO of the injured tendon was assessed. Cell adhesion, viability, apoptosis, and gene expression were measured to evaluate the effect of blood treatment on tendon stem/progenitor cells (TSPCs). Then RNA-seq was used to assess transcriptomic changes in tendons in a blood infiltration environment. At last, the small molecule drug PI3K inhibitor LY294002 was used for in vivo and in vitro HO treatment. Results: Blood caused acute inflammation in the short term and more severe HO in the long term. Then we found that blood treatment increased cell apoptosis and decreased cell adhesion and tenonic gene expression of TSPCs. Furthermore, blood treatment promoted osteochondrogenic differentiation of TSPCs. Next, we used RNA-seq to find that the PI3K/AKT signaling pathway was activated in blood-treated tendon tissues. By inhibiting PI3K with a small molecule drug LY294002, the expression of osteochondrogenic genes was markedly downregulated while the expression of tenonic genes was significantly upregulated. At last, we also found that LY294002 treatment significantly reduced the tendon HO in the rat blood-induced model. Conclusion: Our findings indicate that the upregulated PI3K/AKT signaling pathway is implicated in the aggravation of tendon HO. Therefore, inhibitors targeting the PI3K/AKT pathway would be a promising approach to treat blood-induced tendon HO.

Abstract Background Newly graduated registered nurses leaving the nursing profession in the early stages of their career have enormous financial and time implications for nursing organizations and affect the quality of nursing care. Objective To identify the factors influencing newly graduated registered nurses’ intention to leave the nursing profession over the past 10 years. Methods The framework developed by Whittemore and Knafl was used to conduct this integrative review. An electronic search was conducted for English articles to identify research studies published between 2011-2022 using the following databases of PubMed, MEDLINE, CINAHL, PsycINFO, and Scopus. Eligible publications were critically reviewed and scored using the Critical Appraisal Skills Program Checklist and the Center for Evidence-Based Management appraisal. Results Twenty-one studies were analyzed. The main factors affecting newly graduated registered nurses’ intention to leave the nursing profession included demographic factors (age, educational level, year of experience, professional title, employment status, health status, shift, hospital location and size), supervisor and peer support, challenges in the workplace, cognitive and affective response to work, work environment (collegial nurse-physician relations, insufficient staffing level, person-work environment fit), gender stereotypes, autonomous motivation, role models, and resilience. Conclusions The factors affecting newly graduated registered nurses’ intention to leave the nursing profession are multifaceted and should receive continuous attention from nurse managers. The findings provide more comprehensive for nurse administrators to develop intervention strategies to mitigate newly graduated registered nurses’ turnover intention.

Abstract Background A high percentage of cancer patients may experience emotional distress. Oncology nurses are expected to play an important role in recognizing emotional distress and planning and delivering care that meets the individual needs of each patient. However, few studies have focused on the experiences of clinical nurses in such cases. This study adopted a qualitative research method to gain an in-depth understanding of the experience of nursing staff in caring for cancer patients with emotional distress. Methods A qualitative descriptive design and semi-structured interviews were used in this study. Twenty-one oncology nurses were interviewed, and the qualitative content analysis suggested by Graneheim & Lundman (2004) was used to interpret the data. Results Six themes were identified, as follows: (1) dictating the abnormality of emotion, (2) soothing and comforting patients, (3) a lack of psychology knowledge and communication skills, (4) negative impacts of a lack of time, (5) managing emotional labor, and (6) reflecting on the experiences. Conclusion Hospital administrators should arrange pre-employment education and training as well as on-the-job education to help nurses in caring for cancer patients with emotional distress. They should also focus attention on the personal emotional states of nursing staff in a timely manner and provide psychological support and emotional counseling as necessary.

Abstract Objectives To develop and validate a machine learning model using 18F-FDG PET/CT radiomics signature and clinical features to predict the presence of micropapillary and solid (MP/S) components in lung adenocarcinoma. Methods Eight hundred and forty-six patients who underwent preoperative PET/CT with pathologically confirmed adenocarcinoma were enrolled. After segmentation, 1688 radiomics features were extracted from PET/CT and selected to construct predictive models. Then, we developed a nomogram based on PET/CT radiomics integrated with clinical features. Receiver operating curves, calibration curves, and decision curve analysis (DCA) were performed for diagnostics assessment and test of the developed models for distinguishing patients with MP/S components from the patients without. Results PET/CT radiomics-clinical combined model could well distinguish patients with MP/S components from those without MP/S components (AUC = 0.87), which performed better than PET (AUC = 0.829, p

Abstract Background Dilation may be the first right ventricular change and accelerates the progression of threatening ventricular tachyarrhythmias and heart failure for patients with arrhythmogenic right ventricular cardiomyopathy (ARVC), but the treatment for right ventricular dilation remains limited. Methods Single-cell RNA sequencing (scRNA-seq) of blood and biventricular myocardium from 8 study participants was performed, including 6 end-stage heart failure patients with ARVC and 2 normal controls. ScRNA-seq data was then deeply analyzed, including cluster annotation, cellular proportion calculation, and characterization of cellular developmental trajectories and interactions. An integrative analysis of our single-cell data and published genome-wide association study-based data provided insights into the cell-specific contributions to the cardiac arrhythmia phenotype of ARVC. Desmoglein 2 (Dsg2)mut/mut mice were used as the ARVC model to verify the therapeutic effects of pharmacological intervention on identified cellular cluster. Results Right ventricle of ARVC was enriched of CCL3 + proinflammatory macrophages and TNMD + fibroblasts. Fibroblasts were preferentially affected in ARVC and perturbations associated with ARVC overlap with those reside in genetic variants associated with cardiac arrhythmia. Proinflammatory macrophages strongly interact with fibroblast. Pharmacological inhibition of Nod-like receptor protein 3 (NLRP3), a transcriptional factor predominantly expressed by the CCL3 + proinflammatory macrophages and several other myeloid subclusters, could significantly alleviate right ventricular dilation and dysfunction in Dsg2mut/mut mice (an ARVC mouse model). Conclusions This study provided a comprehensive analysis of the lineage-specific changes in the blood and myocardium from ARVC patients at a single-cell resolution. Pharmacological inhibition of NLRP3 could prevent right ventricular dilation and dysfunction of mice with ARVC.

Abstract Pressure can alter interatomic distances and its electrostatic interactions, exerting a profound modifying effect on electron orbitals and bonding patterns. Conventional pressure engineering relies on compressions from external sources, which raises significant challenge in precisely applying pressure on individual molecules and also consume substantial mechanical energy. Here we report ultrasmall single-layered NbSe2 flat tubes (

Due to their extreme requirements, conventional Ni–Ti shape memory alloys (SMAs) are no longer suitable for aerospace applications. Adding Hf to Ni–Ti SMAs can significantly enhance their suitability for aerospace applications, particularly in high-temperature environments. In this regard, the hot/thermal deformation behavior of Ni50.4Ti34.6Hf15 high-temperature shape memory alloys (HTSMAs) was systematically investigated by using a Gleeble-3800 thermocompression simulation machine. The results prove that the Ni50.4Ti34.6Hf15 alloys have more strain sensitivity than the temperature during the hot/thermal deformation process. In detail, the flow stress increases with the increase in strain rate and decreases with the increase in deformation temperature. From the microstructure evolution point of view, the recovery effect will increase with the increase in deformation temperature, and the recrystallization effect will increase with the increase in strain rate. Following the obtained stress-strain curves, the flow behavior of Ni50.4Ti34.6Hf15 alloys during hot/thermal deformation was established. A modified constitutive equations model was proposed using careful consideration of deformation temperature and strain rate. It was found that the calculated strain activation energy was 363.945 kJ/mol in the range of 700∼800 °C and 512.489 kJ/mol in the range of 900∼1000 °C. Based on the constitutive equation, the calculated values were consistent with the experimental values, which indicated reliable analysis with high prediction accuracy. Furthermore, the thermal processing maps under different conditions were constructed, and it was determined that the optimum hot/thermal deformation processing parameters of Ni50.4Ti34.6Hf15 alloys were 940∼1000 °C and 0.01–0.04 s−1.

Anthomyiidae is a cosmopolitan and diverse family of Calyptratae, and is routinely considered to play key roles in both ecology and agriculture. The higher-level phylogenetic classification of Anthomyiidae has been highly controversial, necessitating further molecular data for precise reconstruction of phylogenetic relationships. In this study, we successfully acquired and annotated 18 new mitogenomes of anthomyiids. Moreover, the mitogenomes of the following genera Eustalomyia, Hyporites, Leucophora, Emmesomyia and Eutrichota are reported for the first time. The 18 mitogenomes are compared with confamilial species to assess genetic variation and to better understand evolutionary relationships within the family Anthomyiidae. In comparisons among 13 mitochondrial protein coding genes (PCG), the calculation of evolutionary rate exhibited nad1 as the fastest evolving gene in Anthomyiidae. Among the anthomyiids investigated, cox2 and nad4 had the lowest genetic distance across the 13 PCGs, suggesting a high degree of conservation for these two genes. Herein, we conducted phylogenetic analyses of the newly sequenced mitogenomes along with 11 known anthomyiids to investigate the interrelationships of Anthomyiidae. Our results indicate that Anthomyiidae is a monophyletic lineage and sister group to Scathophagidae, confirming prior findings based on morphological and molecular analyses. We recovered two subfamilies as monophyletic (Myopininae, Pegomyinae) while Anthomyiinae was polyphyletic. The great species diversity of anthomyiid flies limits the availability of mitogenomes for accurately resolving the phylogeny of Anthomyiidae. Nonetheless, our study provides novel insight into the molecular taxonomy, evolution, and phylogeny of the family Anthomyiidae.

Abstract Radiotherapy is an important treatment modality for patients with esophageal cancer; however, the response to radiation varies among different tumor subpopulations due to tumor heterogeneity. Cancer cells that survive radiotherapy (i.e., radioresistant) may proliferate, ultimately resulting in cancer relapse. However, the interaction between radiosensitive and radioresistant cancer cells remains to be elucidated. In this study, we found that the mutual communication between radiosensitive and radioresistant esophageal cancer cells modulated their radiosensitivity. Radiosensitive cells secreted more exosomal let-7a and less interleukin-6 (IL-6) than radioresistant cells. Exosomal let-7a secreted by radiosensitive cells increased the radiosensitivity of radioresistant cells, whereas IL-6 secreted by radioresistant cells decreased the radiosensitivity of radiosensitive cells. Although the serum levels of let-7a and IL-6 before radiotherapy did not vary significantly between patients with radioresistant and radiosensitive diseases, radiotherapy induced a more pronounced decrease in serum let-7a levels and a greater increase in serum IL-6 levels in patients with radioresistant cancer compared to those with radiosensitive cancer. The percentage decrease in serum let-7a and the percentage increase in serum IL-6 levels at the early stage of radiotherapy were inversely associated with tumor regression after radiotherapy. Our findings suggest that early changes in serum let-7a and IL-6 levels may be used as a biomarker to predict the response to radiotherapy in patients with esophageal cancer and provide new insights into subsequent treatments.

ObjectiveWhen a fire occurs in the multi-storey dwelling section of a ship, the temperature distribution pattern during the spread of smoke along corridors and ladder openings is significantly different from that of a building fire. Therefore, it is necessary to fully understand the characteristics of fire smoke in crew cabins. MethodsAn experimental study on the temperature distribution characteristics of fire smoke in single and multi-storey corridors is carried out in a 1︰5 scaled down ship model by changing the size of the heptane oil pool and the states of ladder openings. ResultsIn the case of a single-storey spread of fire smoke, the vertical temperature distribution in the corridor shows an obvious thermal stratification phenomenon with a height of over 0.4 m. In the case of a multi-storey spread, the vertical temperature gradient in the corridors is lowered and the thermal stratification height is reduced to 0.2 m or less; the vertical thermal stratification height within the corridors is reduced at corners and turnouts; the smoke temperature continues to decrease during horizontal spreading; and the temperature distribution satisfies the exponential decay law. ConclusionsThe thermal stratification height in a multi-storey corridor is significantly reduced compared with a single-storey spread of fire smoke, and the temperature attenuation coefficient k in the horizontal spread process increases as the size of the fire source increases. The results of this study can provide theoretical support for the fire risk assessment and fire protection design of ships.

Although the Flow experience has been researched extensively in music education, there is limited investigation into exploring the link between the Suzuki piano method and Csikszentmihalyi’s flow theory. To address this gap, a quasi-experimental study was conducted to examine how the Suzuki piano method can promote the flow state of adult piano beginners. The study involved 36 participants assigned to either a treatment group or a control group. Both groups underwent an eight-week training program in Suzuki Piano Method and Conventional Group Piano Class respectively. After the program, participants from both groups underwent a post-training performance test and completed a survey, namely Learning and Performing Experience Scale (LPES), modified based on the Short Flow State Scale (S-FFS) by Martin and Jackson to examine their flow experience. The treatment group showed significantly higher flow experience levels than the control group, particularly in dimensions of Concentration, Unambiguous feedback, Timelessness, Loss of self-consciousness, Sense of control, Autotelic experience, and Challenge-skill balance. The findings suggested that the Suzuki piano method may promote flow experiences among adult beginners in piano learning. The implication of the study signified that the collaborative and interactive learning inherent in the method might be beneficial in achieving flow state and could be a consideration in conducting group piano classes.

Many management strategies are available for pancreatic neuroendocrine neoplasms with liver metastases. However, a lack of biological, molecular, and genomic information and an absence of data from rigorous trials limit the validity of these strategies. This review presents the viewpoints from an international conference consisting of several expert working groups. The working groups reviewed a series of questions of particular interest to clinicians taking care of patients with pancreatic neuroendocrine neoplasms with liver metastases by reviewing the existing management strategies and literature, evaluating the evidence on which management decisions were based, developing internationally acceptable recommendations for clinical practice, and making recommendations for clinical and research endeavors. The review for each question will be followed by recommendations from the panel.

Abstract Background Jaundice occurs in some pancreatic disease. However, its occurrences and role in pancreatic neuroendocrine neoplasms (PNENs) has not been well studied. In this study we showed the association between jaundice and the risk of high grade and poorly differentiated PNENs. Methods Ninety-three patients with head-neck PNENs were included. Poorly differentiated pancreatic neuroendocrine neoplasms were defined by a ki67 index > 55.0%. Logistic regression was used to show the association between demographic information, clinical signs and symptoms and the risk of poorly differentiated tumors. A nomogram model was developed to predict poorly differentiated tumor. Results Eight of 93 PNEN patients (8.6%) had jaundice. The age and ki67 index in patients with jaundice were significantly higher than those patients without jaundice. All jaundice occurred in patients with grade 3 PNENs. Mutivariable regression analysis showed that age (odds ratio(OR) = 1.10, 95% confidence interval (CI):1.02–1.19), tumor size (OR = 1.42, 95%CI:1.01-2.00) and jaundice (OR = 14.98, 95%CI: 1.22-184.09) were associated with the risk of poorly differentiated PNENs. The age and size combination showed a good performance in predicting poorly differentiated PNENs (area under the curve (AUC) = 0.81, 95% CI: 0.71–0.90). The addition of jaundice further improved the age- and size-based model (AUC = 0.86, 95% CI: 0.78–0.91). A nomogram was developed based on age, tumor size and jaundice. Conclusion Our data showed that jaundice was associated with the risk of high grade PNENs and poorly differentiated PNENs.

Abstract Carbon credits generated through jurisdictional-scale avoided deforestation projects require accurate estimates of deforestation emission baselines, but there are serious challenges to their robustness. We assessed the variability, accuracy, and uncertainty of baselining methods by applying sensitivity and variable importance analysis on a range of typically-used methods and parameters for 2,794 jurisdictions worldwide. The median jurisdiction’s deforestation emission baseline varied by 171% (90% range: 87%-440%) of its mean, with a median forecast error of 0.778 times (90% range: 0.548-3.56) the actual deforestation rate. Moreover, variable importance analysis emphasised the strong influence of the deforestation projection approach. For the median jurisdiction, 68.0% of possible methods (90% range: 61.1%-85.6%) exceeded 15% uncertainty. Tropical and polar biomes exhibited larger uncertainties in carbon estimations. The use of sensitivity analyses, multi-model, and multi-source ensemble approaches could reduce variabilities and biases. These findings provide a roadmap for improving baseline estimations to enhance carbon market integrity and trust.

Abstract The present work was an endeavor to shed light on how mild photothermia possibly synergizes with immune checkpoint inhibition for tumor therapy. We established mild photothermal heating protocols to generate temperatures of 43 °C and 45 °C in both in vitro and in vivo mouse 4T1 triple-negative breast cancer (TNBC) models using polyglycerol-coated carbon nanohorns (CNH-PG) and 808 nm laser irradiation. Next, we found that 1) CNH-PG-mediated mild photothermia (CNH-PG-mPT) significantly increased expression of the immune checkpoint PD-L1 and type-1 macrophage (M1) markers in the TNBC tumors; 2) CNH-PG-mPT had a lower level of anti-tumor efficacy which was markedly potentiated by BMS-1, a PD-L1 blocker. These observations prompted us to explore the synergetic mechanisms of CNH-PG-mPT and BMS-1 in the context of tumor cell-macrophage interactions mediated by PD-L1 since tumor-associated macrophages (TAMs) are a major source of PD-L1 expression in tumors. In vitro, the study then identified two dimensions where BMS-1 potentiated CNH-PG-mPT. First, CNH-PG-mPT induced PD-L1 upregulation in the tumor cells and showed a low level of cytotoxicity which was potentiated by BMS-1. Second, CNH-PG-mPT skewed TAMs towards an M1-like anti-tumor phenotype with upregulated PD-L1, and BMS-1 bolstered the M1-like phenotype. The synergistic effects of BMS-1 and CNH-PG-mPT both on the tumor cells and TAMs were more pronounced when the two cell populations were in co-culture. Further in vivo study confirmed PD-L1 upregulation both in tumor cells and TAMs in the TNBC tumors following treatment of CNH-PG-mPT. Significantly, TAMs depletion largely abolished the anti-TNBC efficacy of CNH-PG-mPT alone and in synergy with BMS-1. Collectively, our findings reveal PD-L1 upregulation to be a key response of TNBC to mild photothermal stress, which plays a pro-survival role in the tumor cells while also acting as a brake on the M1-like activation of the TAMs. Blockade of mPT‑induced PD‑L1 achieves synergistic anti-TNBC efficacy by taking the intrinsic survival edge off the tumor cells on one hand and taking the brakes off the M1-like TAMs on the other. Our findings reveal a novel way (i.e. mild thermia plus PD-L1 blockade) to modulate the TAMs-tumor cell interaction to instigate a mutiny of the TAMs against their host tumor cells. Graphical Abstract

AbstractHuman papillomavirus (HPV) is the infectious etiological agent for diseases such as cervical cancer. Developing HPV vaccines is of great significance for cancer prevention. During the development of polyvalent HPV vaccines, such as 9-valent and 15-valent HPV vaccines, specifical identification of different HPV antigen is very important. The homemade HPV31 L1 VLPs was used as an immunogen to generate HPV 31 monoclonal antibodies (mAbs) through hybridoma cell culture. We generated several mAbs through hybridoma cell culture and selected two specific neutralizing antibodies, 19B2 and 19C4, which were further analyzed and characterized for binding activity, neutralizing activity, and specificity by enzyme-linked immunosorbent assays (ELISA). It is shown that both 19B2 and 19C4 could specifically recognize HPV31 L1 virus-like particles (VLPs). These two specific mAbs were further used to assemble a HPV31 antigen ELISA test kit. The assembled kit with high detection performance could be widely applied for the quantitative detection of HPV31 antigen during vaccine production as well as in the preliminary analysis of HPV31 infection.

Deep learning has been developed to generate promising super resolution hyperspectral imagery by fusing hyperspectral imagery with the panchromatic band. However, it is still challenging to maintain edge spectral information in the necessary upsampling processes of these approaches, and difficult to guarantee effective feature extraction. This study proposes a pansharpening network denoted as HyperRefiner that consists of, (1) a well performing upsampling network SRNet, in which the dual attention block and refined attention block are cascaded to accomplish the extraction and fusion of features; (2) a spectral autoencoder that is embedded to perform dimensionality reduction under constrained feature extraction; and (3) the optimization module which performs self-attention at the pixel and feature levels. A comparison with several state-of-the-art models reveals that HyperRefiner can improve the quality of the fused image. Specifically, compared to the single-head HyperTransformer and with the Chikusei dataset, our network improved the Peak Signal-to-Noise Ratio, Erreur Relative Globale Adimensionnelle de Synthèse and Spectral Angle Mapper by 0.86%, 3.62%, and 2.09%, and reduce the total memory, floating point operations, model parameters and computation time by 41%, 75%, 86% and 46%, respectively. The experimental results show that HyperRefiner outperforms several networks and demonstrates its usefulness in hyperspectral image fusion. The code is publicly available at https://github.com/zsspo/Fusion_HyperRefiner.

AbstractInflammatory markers have a wide range of predictive values in the prognosis of non-small lung cancer (NSCLC). Poor nutritional status usually means a poor prognosis in patients with NSCLC, which is widely recognized by oncologists and nutritionists. Serum albumin has a certain value in evaluating the prognosis of patients. Several inflammatory albumin-related markers have been proposed, but they have not been widely used in predicting the prognosis of NSCLC in clinical practice. We aim to systematically review the published clinical evidence of albumin-related inflammatory markers in predicting the prognosis of NSCLC and to describe their progress and value. The results showed that the markers included in the review could be prognostic indicators in patients with NSCLC. However, we found that the cut-off value of albumin-related inflammatory markers with quantitative nature was very chaotic and needed to be defined by recognized standards. We summarized and compared the advantages and disadvantages of these markers, but a prospective cohort study with long-term follow-up after adjustment for important confounders is still necessary. Whether the results and conclusions could be directly applied in clinical practice needs to be identified and evaluated. There is an urgent need to classify and standardize the albumin-related inflammatory markers that play an important role in the prognosis of NSCLC, which is the key to ensuring the transformation from clinical study to clinical application.

In the real world, active agents interact with surrounding passive objects, thus introducing additional degrees of complexity. The relative contributions of far-field hydrodynamic and near-field contact interactions to the anomalous diffusion of passive particles in suspensions of active swimmers remain a subject of ongoing debate. We constructed a quasi-two-dimensional microswimmer–colloid mixed system by taking advantage of Serratia marcescens’ tendency to become trapped at the air–water interface to investigate the origins of the enhanced diffusion and non-Gaussianity of the displacement distributions of passive colloidal tracers. Our findings reveal that the diffusion behavior of colloidal particles exhibits a strong dependence on bacterial density. At moderate densities, the collective dynamics of bacteria dominate the diffusion of tracer particles. In dilute bacterial suspensions, although there are multiple dynamic types present, near-field contact interactions such as collisions play a major role in the enhancement of colloidal transport and the emergence of non-Gaussian displacement distributions characterized by heavy exponential tails in short times. Despite the distinct types of microorganisms and their diverse self-propulsion mechanisms, a generality in the diffusion behavior of passive colloids and their underlying dynamics is observed.

Raman fiber lasers (RFLs), which are based on the stimulated Raman scattering effect, generate laser beams and offer distinct advantages such as flexibility in wavelength, low quantum defects, and absence from photo-darkening. However, as the power of the RFLs increases, heat generation emerges as a critical constraint on further power scaling. This escalating thermal load might result in transverse mode instability (TMI), thereby posing a significant challenge to the development of RFLs. In this work, a static model of the TMI effect in a high-power Raman fiber amplifier based on stimulated thermal Rayleigh scattering is established considering higher-order mode excitation. The variations of TMI threshold power with different seed power levels, fundamental mode purities, higher-order mode losses, and fiber lengths are investigated, while a TMI threshold formula with fundamental mode pumping is derived. This work will enrich the theoretical model of TMI and extend its application scope in TMI mitigation strategies, providing guidance for understanding and suppressing TMI in the RFLs.

There are various types of charged particles in the space environment, which can cause different types of radiation damage to materials and devices, leading to on-orbit failures and even accidents for spacecraft. Developing lightweight and efficient radiation-shielding materials is an effective approach to improving the inherent protection of spacecraft. The protective performance of different materials against proton and electron spectra in the Earth’s radiation belts is evaluated using a Geant4 simulation. Based on the simulation results, suitable hardening components were selected to design composite materials, and B4C/PEEK composites with different B4C contents were successfully prepared. The experimental results demonstrate that the simulated and experimental results for the electron, proton and neutron shielding performance of the B4C/PEEK composites are consistent. These composites exhibit excellent radiation shielding capabilities against electrons, protons and neutrons, and the radiation protection performance improves with increasing B4C content in the B4C/PEEK composite materials.

The three-amino-loop-extension (TALE) family involves key transcription factors vital for maintaining different aspects of growth including leaf, flower, and fruit development and responses to stressful stimulus. Thus far, a deep understanding of the TALE gene family in wax gourd subjected to low calcium and magnesium stress has been missing. Here, we isolated 24 BhTALE genes from a wax gourd genome database. Comprehensive bioinformatic analysis, including evolutionary tree, gene structures, conserved motifs, and chemical properties, provide structural and functional insights into the BhTALE gene family. Gene ontology (GO) analysis of TALE genes unveils their involvement in growth and stress responses. Promoter analysis indicates that hormones and stresses can influence the expression of BhTALE genes. Tissue-specific expression under low calcium and magnesium stress showed that BhTALE genes were more active in the leaves and roots. Notably, BhTALE7, BhTALE10, and BhTALE14 were expressed differentially in leaves under low calcium and magnesium applications. Similarly, the induced expression pattern of BhTALE4 was recorded in the roots under low calcium and magnesium applications. Our findings underscore the pivotal role of the BhTALE gene family in dealing with low calcium and magnesium stress in the wax gourd.

Understanding the fundamental light-sample interaction process is a crucial step toward the development of vibrational spectroscopy to determine fruit texture (i.e., firmness). This study aimed to investigate the effect of pectin constitution, including total pectin, water-soluble pectin, protopectin contents, and protopectin index (PI), on the optical properties and firmness of ‘Baifeng’ and ‘Xiahui 8’ peach flesh at the different softening degrees during postharvest storage of 6 days at 20 °C. The firmness of ‘Baifeng’ and ‘Xiahui 8’ peaches significantly (p < 0.05) changed with a decreasing rate from 90.3% to 92.2%. Peach firmness of these two cultivars correlated well with PI contents (r > 0.912) and showed good internal correlations with optical scattering properties. The light absorption coefficient (μa) and reduced scattering coefficient (μ’s) at 600–1600 nm were measured using a single integrating sphere system combined with an inversion algorithm. This relationship of μa and μ’s with peach firmness and pectin constitution was first analyzed. Notably, the specific μ’s at 660 nm, 950 nm, 1203 nm, and 1453 nm showed a satisfactory prediction of peach firmness and PI of ‘Xiahui 8’ (R2 ≥ 0.926) and ‘Baifeng’ peaches (R2 ≥ 0.764), respectively. Furthermore, the prediction models were established based on partial least squares regression coupled with optical properties, and considerable prediction performances were obtained for tissue firmness (Rp2 ≥ 0.863) and PI based on μ’s (Rp2 ≥ 0.802). Consequently, these results further verified that the spectroscopic prediction model for peach firmness could be related to the high correlations between PI in tissues and their optical scattering properties. Future research interests could include the development of optical absorption and scattering sensors for rapid and efficient determination of peach firmness.

Pandan (Pandanus amaryllifolius Roxb.) has been used in the production of bakery goods either as a functional ingredient or a natural flavoring that, when roasted, exerts a fragrant rice-like aroma and an attractive green color. This study elucidated the typical aroma compounds from pandan leaves and explored the influence of thermal treatments on their aroma profiles using GC-O-MS, E-nose, and GC-IMS analyses. The effects of formulation and baking conditions on the qualities of pandan-flavored sponge cake were comprehensively evaluated through a holistic approach covering several aspects including cake batter gravity, color, texture, and sensory characteristics. The baking treatment introduced more types of pleasant aromas (9 aromas vs. 17 aromas) and increased the odor intensities of the original volatile compounds, especially for the roasted and steamed rice-like odors. The increased amount of pandan flavoring reshaped the color of the cake crumb (especially for the L* and a* spaces) and significantly decreased the hardness (3.87 N to 1.01 N), gumminess (3.81 N to 0.67 N), and chewiness (13.22 mJ to 4.56 mJ) of the sponge cake. The perceived intensities of bitterness and sweetness can be adjusted by modulating the levels of 2-phenylethanol, 2-methyl-1-butanol, hexyl alcohol, and decanal, along with the total alcohols and aldehydes, due to their significant correlations revealed by correlation heatmap analyses.

The pale grass blue, Pseudozizeeria maha, is a small lycaenid butterfly widely distributed across Asia. Due to its exclusively diurnal lifestyle and conspicuous sexual dimorphism in wing coloration, vision has traditionally been regarded as the primary sensory system driving various behaviors. However, non-visual sensory systems related to sex-specific behavioral responses, such as antennae, have received far less attention. This study investigated the morphological characteristics and sensilla types of the antennae in adult P. maha using scanning electron microscopy, with a focus on potential sexual dimorphism. The antennae of adult P. maha are clavate, with no significant sexual differences in overall morphology. Six types of antennal sensilla were identified: Böhm bristles, sensilla squamiformia, sensilla trichodea, sensilla chaetica, sensilla basiconica, and sensilla coeloconica, with no sexual dimorphism observed in their morphological types or dimensions. Remarkably, the sensilla coeloconica exhibit significant sexual dimorphism, with a more prominent presence in females. This finding suggests that female P. maha may rely more on olfactory cues for some sex-specific behaviors, such as oviposition site selection.

Apolipoprotein B (APOB) is the primary structural protein of atherogenic lipoproteins, which drive atherogenesis and thereby lead to deadly cardiovascular diseases (CVDs). Plasma levels of APOB-containing lipoproteins are tightly modulated by LDL receptor–mediated endocytic trafficking and cargo receptor–initiated exocytic route; the latter is much less well understood. This protocol aims to present an uncomplicated yet effective method for detecting APOB/lipoprotein secretion. We perform primary mouse hepatocyte isolation and culture coupled with well-established techniques such as immunoblotting for highly sensitive, specific, and semi-quantitative analysis of the lipoprotein secretion process. Its inherent simplicity facilitates ease of operation, rendering it a valuable tool widely utilized to explore the intricate landscape of cellular lipid metabolism and unravel the mechanistic complexities underlying lipoprotein-related diseases.

Abstract Whistler‐mode waves are commonly observed within the lunar environment, while their variations during Interplanetary (IP) shocks are not fully understood yet. In this paper, we analyze two IP shock events observed by Acceleration, Reconnection, Turbulence and Electrodynamics of the Moons Interaction with the Sun (ARTEMIS) satellites while the Moon was exposed to the solar wind. In the first event, ARTEMIS detected whistler‐mode wave intensification, accompanied by sharply increased hot electron flux and anisotropy across the shock ramp. The potential reflection or backscattering of electrons by the lunar crustal magnetic field is found to be favorable for whistler‐mode wave intensification. In the second event, a magnetic field line rotation around the shock region was observed and correlated with whistler‐mode wave intensification. The wave growth rates calculated using linear theory agree well with the observed wave spectra. Our study highlights the significance of magnetic field variations and anisotropic hot electron distributions in generating whistler‐mode waves in the lunar plasma environment following IP shock arrivals.