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Abstract Purpose To investigate the correlation between whole eye movement (WEM) parameters measured using Corvis ST and axial length (AL) to explore whether AL affects WEMs. Methods This single-center, cross-sectional study included data from healthy subjects and patients preparing for refractive surgery at the Qingdao Eye Hospital of Shandong First Medical University. Data were collected from July 2021 to April 2022. We first determined the correlations of WEMs at the time of corneal first applanation (A1_WEM), highest concavity (HC_WEM), and second applanation (A2_WEM), as well as the maximum value of WEM (WEM_Max) with AL. Subsequently, we established a series of regression models to analyze the relationships between different WEM values and AL. Results AL was negatively correlated with HC_WEM, A2_WEM, and WEM_Max (r = − 0.28, − 0.23, and − 0.22, respectively; P

Abstract Life education is increasingly recognized as one of the potentially effective ways to reduce unnatural deaths. Existing research focuses mainly on classroom knowledge transfer and extracurricular practical activities, which has been criticized for their effectiveness due to insufficient interaction between teachers and students. Creating high-quality life education, therefore, has become a demand for human happiness. Intergenerational learning embedded in life education, developed by collaborating with primary schools and older adult schools in China, has become an effective practice. Two teachers, seven primary school students, and seven older adult learners were interviewed to reveal the characteristics and impact of this effective practice. This model of practice establishes a dual subject of teachers and students in breaking the boundary between teachers as subjects and students as objects, while recognizing diverse lives in the interaction and reflection of intergenerational learning. In addition, this study constructs a classroom teaching model of teachers, primary school students, and older adult learners jointly creating knowledge, skills, emotions, attitudes, and values, and I put forward the life education thought of ‘seeing life through life’. This study has implications for policymakers on improving educational policies and practitioners on innovating life education models in cross-cultural contexts.

Objective Positive antineutrophil cytoplasmic antibodies (ANCAs) may occur in the setting of interstitial lung disease (ILD), with or without ANCA‐associated vasculitis (AAV). We aim to compare the characteristics and clinical course of patients with ILD and positive ANCA (ANCA‐ILD) to those with negative ANCA. Methods We performed a single‐center retrospective cohort study from 2018 to 2021. All patients with ILD and ANCA testing were included. Patient characteristics (symptoms, dyspnea scale, and systemic AAV), test results (pulmonary high‐resolution computed tomography and pulmonary function tests), and adverse events were collected from electronic medical records. Descriptive statistics and the Fisher exact test were used to compare the outcomes of patients with ANCA‐ILD to those with ILD and negative ANCA. Results A total of 265 patients with ILD were included. The mean follow‐up duration was 69.3 months, 26 patients (9.8%) were ANCA positive, and 69.2% of those with ANCA‐ILD had another autoantibody. AAV occurred in 17 patients (65.4%) with ANCA‐ILD. In 29.4% of patients, AAV developed following ILD diagnosis. Usual interstitial pneumonia was the most common radiologic pattern in patients with ANCA‐ILD. There was no association between ANCA status and the evolution of dyspnea, diffusing capacity of the lungs for carbon monoxide, and lung imaging. Forced vital capacity improved over time in 42% of patients with ANCA‐ILD and in 17% of patients with negative ANCA (P = 0.006). Hospitalization occurred in 46.2% of patients with ANCA‐ILD and in 21.8% of patients with negative ANCA (P = 0.006). Both groups had similar mortality rates. Conclusion Routine ANCA testing should be considered in patients with ILD. Patients with ANCA‐ILD are at risk for AAV. More research is required to better understand and manage patients with ANCA‐ILD.

Abstract Introduction It remains unclear how patients with atopic dermatitis (AD) and clinicians perceive the level of patient–clinician communication and if there could be potential lapses. This cross-sectional study aims to compare perspectives between patients with AD and dermatologists regarding communication and treatment expectations in Asia. Methods Moderate-to-severe patients with AD and practicing dermatologists were recruited from eight Asia–Pacific territories, including Mainland China, Hong Kong, India, Japan, Singapore, South Korea, Taiwan, and Thailand. Patients and dermatologists completed separate surveys designed to elicit their expectations regarding AD management, and their perceived level of patient–clinician communication. Patients were also asked about their treatment satisfaction and whether they prefer additional treatment beyond what was prescribed. Demographic information and responses were analyzed using descriptive statistics. The study was reviewed by the institutional review board in each territory, and all participants provided informed consent. Results A total of 1103 patients and 271 dermatologists completed the surveys. Both patients and dermatologists were largely aligned in their top treatment goals in AD management. However, greater proportions of patients prioritized the prevention of exacerbation (78.0% versus 47.2%), minimization of treatment adverse effects (46.4% versus 9.1%), and improvement in mental health (16.0% versus 4.9%), compared with dermatologists. Although patient–clinician communication was observed to be generally good, 10.9% of patients reported dissatisfaction with communication in AD management. The majority of patients were either “very satisfied” or “satisfied” with their latest acute AD treatment, but 65.5% of patients still desired additional treatment. Conclusions This multinational study has provided insights on the perspectives of Asian patients and dermatologists in treatment goals, AD management, and communication. In general, both patients and dermatologists were aligned in treatment goals and there was satisfactory patient–clinician communication in most aspects. However, potential areas of improvement have been identified to further enhance patient-centered care.

Abstract The proficient handling of diabetic wounds, a rising issue coinciding with the global escalation of diabetes cases, poses significant clinical difficulties. A range of biofunctional dressings have been engineered and produced to expedite the healing process of diabetic wounds. This study proposes a multifunctional hydrogel dressing for diabetic wound healing, which is composed of Polyvinyl Alcohol (PVA) and N1-(4-boronobenzyl)-N3-(4-boronophenyl)-N1, N1, N3, N3-teramethylpropane-1, 3-diaminium (TSPBA), and a dual-drug loaded Gelatin methacryloyl (GM) microgel. The GM microgel is loaded with sodium fusidate (SF) and nanoliposomes (LP) that contain metformin hydrochloride (MH). Notably, adhesive and self-healing properties the hydrogel enhance their therapeutic potential and ease of application. In vitro assessments indicate that SF-infused hydrogel can eliminate more than 98% of bacteria within 24 h and maintain a sustained release over 15 days. Additionally, MH incorporated within the hydrogel has demonstrated effective glucose level regulation for a duration exceeding 15 days. The hydrogel demonstrates a sustained ability to neutralize ROS throughout the entire healing process, predominantly by electron donation and sequestration. This multifunctional hydrogel dressing, which integrated biological functions of efficient bactericidal activity against both MSSA and MRSA strains, blood glucose modulation, and control of active oxygen levels, has successfully promoted the healing of diabetic wounds in rats in 14 days. The hydrogel dressing exhibited significant effectiveness in facilitating the healing process of diabetic wounds, highlighting its considerable promise for clinical translation. Graphical Abstract

Abstract Background Diabetic wounds present significant challenges, specifically in terms of bacterial infection and delayed healing. Therefore, it is crucial to address local bacterial issues and promote accelerated wound healing. In this investigation, we utilized electrospinning to fabricate microgel/nanofiber membranes encapsulating MXene-encapsulated microgels and chitosan/gelatin polymers. Results The film dressing facilitates programmed photothermal therapy (PPT) and mild photothermal therapy (MPTT) under near-infrared (NIR), showcasing swift and extensive antibacterial and biofilm-disrupting capabilities. The PPT effect achieves prompt sterilization within 5 min at 52 °C and disperses mature biofilm within 10 min. Concurrently, by adjusting the NIR power to induce local mild heating (42 °C), the dressing stimulates fibroblast proliferation and migration, significantly enhancing vascularization. Moreover, in vivo experimentation successfully validates the film dressing, underscoring its immense potential in addressing the intricacies of diabetic wounds. Conclusions The MXene microgel-loaded nanofiber dressing employs temperature-coordinated photothermal therapy, effectively amalgamating the advantageous features of high-temperature sterilization and low-temperature promotion of wound healing. It exhibits rapid, broad-spectrum antibacterial and biofilm-disrupting capabilities, exceptional biocompatibility, and noteworthy effects on promoting cell proliferation and vascularization. These results affirm the efficacy of our nanofiber dressing, highlighting its significant potential in addressing the challenge of diabetic wounds struggling to heal due to infection. Graphical Abstract

AIM: To evaluate the trending visual performance of different intraocular lenses (IOLs) over time after implantation. METHODS: Ninety-one patients received cataract surgery with implantations of monofocal (Mon) IOLs, segmental refractive (SegRef) IOLs, diffractive (Dif) IOLs, and extended-depth-of-focus (EDoF) IOLs were included. The aberrations and optical quality collected with iTrace and OQAS within postoperative 6mo were followed and compared. RESULTS: Most of the visual parameters improved over the postoperative 6mo. The postoperative visual acuity (POVA) of the Mon IOL, SegRef IOL, and EDoF IOL groups achieved relative stability in earlier states compared with the Dif IOL group. Nevertheless, the overall visual performance of the 3 IOLs continued to upturn in small extents within the postoperative 6mo. The optical quality initially improved in the EDoF IOL group, then in the Mon IOL, SegRef IOL, and Dif IOL groups. POVA and objective visual performance of the Mon IOL and EDoF IOL groups, as well as POVA and visual quality of the Dif IOL group, improved in the postoperative 1mo and stabilized. Within the postoperative 6mo, gradual improvements were observed in the visual acuity and objective visual performance of the SegRef IOL group, as well as in the postoperative optical quality of the Dif IOL group. CONCLUSION: The visual performance is different among eyes implanted with different IOLs. The findings of the current study provide a potential reference for ophthalmologists to choose suitable IOLs for cataract patients in a personalized solution.

The heightened autonomy and robust adaptability inherent in a multi-robot system have proven pivotal in disaster search and rescue, agricultural irrigation, and environmental monitoring. This study addresses the coordination of multiple robots for the surveillance of various key target positions within an area. This involves the allocation of target positions among robots and the concurrent planning of routes for each robot. To tackle these challenges, we formulate a unified optimization model addressing both target allocation and route planning. Subsequently, we introduce an adaptive memetic algorithm featuring dual-level local search strategies. This algorithm operates independently among and within robots to effectively solve the optimization problem associated with surveillance. The proposed method’s efficacy is substantiated through comparative numerical experiments and simulated experiments involving diverse scales of robot teams and different target positions.

Abstract Background Parotid gland carcinoma (PGC) is a rare malignant tumor. The purpose of this study was to investigate the role of immune-inflammatory-nutrition indicators and age-adjusted Charlson comorbidity index score (ACCI) of PGC and develop the nomogram model for predicting prognosis. Method All patients diagnosed with PGC in two tertiary hospitals, treated with surgical resection, from March 2012 to June 2018 were obtained. Potential prognostic factors were identified by univariate and multivariate Cox regression analyses. The nomogram models were established based on these identified independent prognostic factors. The performance of the developed prognostic model was estimated by related indexes and plots. Result The study population consisted of 344 patients with PGC who underwent surgical resection, 285 patients without smoking (82.8%), and 225 patients (65.4%) with mucoepidermoid carcinoma, with a median age of 50.0 years. American Joint Committee on Cancer (AJCC) stage (p

Abstract Background Oral cavity squamous cell carcinoma (OCSCC) is the most common pathological type in oral tumors. This study intends to construct a novel prognostic nomogram model based on China populations for these resectable OCSCC patients, and then validate these nomograms. Methods A total of 607 postoperative patients with OCSCC diagnosed between June 2012 and June 2018 were obtained from two tertiary medical institutions in Xinxiang and Zhengzhou. Then, 70% of all the cases were randomly assigned to the training group and the rest to the validation group. The endpoint time was defined as overall survival (OS) and disease-free survival (DFS). The nomograms for predicting the 3-, and 5-year OS and DFS in postoperative OCSCC patients were established based on the independent prognostic factors, which were identified by the univariate analysis and multivariate analysis. A series of indexes were utilized to assess the performance and net benefit of these two newly constructed nomograms. Finally, the discrimination capability of OS and DFS was compared between the new risk stratification and the American Joint Committee on Cancer (AJCC) stage by Kaplan-Meier curves. Results 607 postoperative patients with OCSCC were selected and randomly assigned to the training cohort (n = 425) and validation cohort (n = 182). The nomograms for predicting OS and DFS in postoperative OCSCC patients had been established based on the independent prognostic factors. Moreover, dynamic nomograms were also established for more convenient clinical application. The C-index for predicting OS and DFS were 0.691, 0.674 in the training group, and 0.722, 0.680 in the validation group, respectively. Besides, the calibration curve displayed good consistency between the predicted survival probability and actual observations. Finally, the excellent performance of these two nomograms was verified by the NRI, IDI, and DCA curves in comparison to the AJCC stage system. Conclusion The newly established and validated nomograms for predicting OS and DFS in postoperative patients with OCSCC perform well, which can be helpful for clinicians and contribute to clinical decision-making.

Abstract Introduction Atopic dermatitis (AD) is a chronic immuno-inflammatory skin disease. Crisaborole ointment, 2%, is a nonsteroidal phosphodiesterase 4 inhibitor approved for the treatment of mild to moderate AD. This post hoc analysis assesses the efficacy and safety of crisaborole in Chinese patients aged ≥ 2 years with mild to moderate AD. Methods We evaluated the efficacy and safety of crisaborole in Chinese patients from the vehicle-controlled, phase 3 CrisADe CLEAR study. Patients were randomly assigned 2:1 to receive crisaborole or vehicle twice daily, respectively, for 28 days. The primary endpoint was percent change from baseline in Eczema Area and Severity Index (EASI) total score at day 29. Key secondary endpoints were improvement in Investigator’s Static Global Assessment (ISGA), ISGA success, and change from baseline in weekly average Peak Pruritus Numerical Rating Scale (PP-NRS) score. Adverse events were documented. Results Of 391 patients in the overall study, 237 were from China, 157 assigned to crisaborole and 80 assigned to vehicle. A greater reduction in percent change from baseline in EASI total score at day 29 was shown in the crisaborole vs. vehicle group (least squares mean [LSM]: −66.34 [95% (confidence interval) CI −71.55 to −61.12] vs. −50.18 [95% CI −58.02 to −42.34]). Response rates for achievement of ISGA improvement (43.2% [95% CI 35.4–51.1] vs. 33.4% [95% CI 22.5–44.2]) and ISGA success (31.7% [95% CI 24.3–39.0] vs. 21.5% [95% CI 12.1–30.9]) at day 29 were higher in the crisaborole vs. vehicle group. A greater reduction in change from baseline in weekly average PP-NRS score at week 4 was observed in the crisaborole vs. vehicle group (LSM: −1.98 [95% CI −2.34 to −1.62] vs. −1.08 [95% CI −1.63 to −0.53]). No new safety signals were observed. Conclusion Crisaborole was effective and well tolerated in Chinese patients aged ≥ 2 years with mild to moderate AD. Trial Registration ClinicalTrials.gov, NCT04360187.

Abstract Diabetic wounds pose a challenge to healing due to increased bacterial susceptibility and poor vascularization. Effective healing requires simultaneous bacterial and biofilm elimination and angiogenesis stimulation. In this study, we incorporated polyaniline (PANI) and S-Nitrosoglutathione (GSNO) into a polyvinyl alcohol, chitosan, and hydroxypropyltrimethyl ammonium chloride chitosan (PVA/CS/HTCC) matrix, creating a versatile wound dressing membrane through electrospinning. The dressing combines the advantages of photothermal antibacterial therapy and nitric oxide gas therapy, exhibiting enduring and effective bactericidal activity and biofilm disruption against methicillin-sensitive Staphylococcus aureus, methicillin-resistant Staphylococcus aureus, and Escherichia coli. Furthermore, the membrane’s PTT effect and NO release exhibit significant synergistic activation, enabling a nanodetonator-like burst release of NO through NIR irradiation to disintegrate biofilms. Importantly, the nanofiber sustained a uniform release of nitric oxide, thereby catalyzing angiogenesis and advancing cellular migration. Ultimately, the employment of this membrane dressing culminated in the efficacious amelioration of diabetic-infected wounds in Sprague–Dawley rats, achieving wound closure within a concise duration of 14 days. Upon applying NIR irradiation to the PVA-CS-HTCC-PANI-GSNO nanofiber membrane, it swiftly eradicates bacteria and biofilm within 5 min, enhancing its inherent antibacterial and anti-biofilm properties through the powerful synergistic action of PTT and NO therapy. It also promotes angiogenesis, exhibits excellent biocompatibility, and is easy to use, highlighting its potential in treating diabetic wounds. Graphical Abstract

Abstract The incidence of autoimmune diseases has significantly increased over the past 20 years. Excessive host immunoreactions and disordered immunoregulation are at the core of the pathogenesis of autoimmune diseases. The traditional anti-tumor chemotherapy drug CPT-11 is associated with leukopenia. Considering that CPT-11 induces leukopenia, we believe that it is a promising drug for the control of autoimmune diseases. Here, we show that CPT-11 suppresses T cell proliferation and pro-inflammatory cytokine production in healthy C57BL/6 mice and in complete Freund’s adjuvant-challenged mice. We found that CPT-11 effectively inhibited T cell proliferation and Th1 and Th17 cell differentiation by inhibiting glycolysis in T cells. We also assessed CPT-11 efficacy in treating autoimmune diseases in models of experimental autoimmune encephalomyelitis and psoriasis. Finally, we proved that treatment of autoimmune diseases with CPT-11 did not suppress long-term immune surveillance for cancer. Taken together, these results show that CPT-11 is a promising immunosuppressive drug for autoimmune disease treatment.

Abstract Background Postoperative performance, including best corrected distance visual acuity (BCDVA) and optical metrics (from the OQAS and iTrace devices), was compared among 4 different intraocular lenses (IOLs). Methods This prospective observational study included 104 eyes from 104 subjects who underwent cataract surgery combined with implantation of 4 different IOLs: monofocal (Mon) IOLs, segmental refractive (SegRef) IOLs, diffractive (Dif) IOLs and extended depth of focus (EDoF) IOLs. Postoperative BCDVA and optical metrics were collected at the 6th month. The OQAS optical metrics included the objective scattering index (OSI), Strehl ratio (SR), modulation transfer function (MTF) cut-off frequency, and predicted visual acuity (PVA); the iTrace optical metrics included blur/double vision, glare/halo, starburst, mixed focus, night myopia, and night hyperopia. Results There was no significant difference in BCDVA among the 4 groups (P = 0.059; power = 70.3%). Differences were observed in all OQAS optical metrics among the groups (all P

Abstract FBXO32, a member of the F-box protein family, is known to play both oncogenic and tumor-suppressive roles in different cancers. However, the functions and the molecular mechanisms regulated by FBXO32 in lung adenocarcinoma (LUAD) remain unclear. Here, we report that FBXO32 is overexpressed in LUAD compared with normal lung tissues, and high expression of FBXO32 correlates with poor prognosis in LUAD patients. Firstly, we observed with a series of functional experiments that FBXO32 alters the cell cycle and promotes the invasion and metastasis of LUAD cells. We further corroborate our findings using in vivo mouse models of metastasis and confirmed that FBXO32 positively regulates LUAD tumor metastasis. Using a proteomic-based approach combined with computational analyses, we found a positive correlation between FBXO32 and the PI3K/AKT/mTOR pathway, and identified PTEN as a FBXO32 interactor. More important, FBXO32 binds PTEN via its C-terminal substrate binding domain and we also validated PTEN as a bona fide FBXO32 substrate. Finally, we demonstrated that FBXO32 promotes EMT and regulates the cell cycle by targeting PTEN for proteasomal-dependent degradation. In summary, our study highlights the role of FBXO32 in promoting the PI3K/AKT/mTOR pathway via PTEN degradation, thereby fostering lung adenocarcinoma progression.

IntroductionAs a widely used traditional Chinese medicine with hot property, aconite can significantly promote energy metabolism. However, it is unclear whether the gut microbiota and bile acids contribute to the energy metabolism-promoting properties of aconite. The aim of this experiment was to verify whether the energy metabolism-promoting effect of aconite aqueous extract (AA) is related to gut microbiota and bile acid (BA) metabolism.MethodsThe effect of AA on energy metabolism in rats was detected based on body weight, body temperature, and adipose tissue by HE staining and immunohistochemistry. In addition, 16S rRNA high-throughput sequencing and targeted metabolomics were used to detect changes in gut microbiota and BA concentrations, respectively. Antibiotic treatment and fecal microbiota transplantation (FMT) were also performed to demonstrate the importance of gut microbiota.ResultsRats given AA experienced an increase in body temperature, a decrease in body weight, and an increase in BAT (brown adipose tissue) activity and browning of WAT (white adipose tissue). Sequencing analysis and targeted metabolomics indicated that AA modulated gut microbiota and BA metabolism. The energy metabolism promotion of AA was found to be mediated by gut microbiota, as demonstrated through antibiotic treatment and FMT. Moreover, the energy metabolism-promoting effect of aconite is associated with the bile acid receptor TGR5 (Takeda G-protein-coupled receptor 5)-UCP1 (uncoupling protein 1) signaling pathway.ConclusionThe energy metabolism-promoting effect of aconite is associated with gut microbiota and bile acid receptor TGR5-UCP1 signaling.

Abstract Hypervascularized glioblastoma is naturally sensitive to anti‐angiogenesis but suffers from low efficacy of transient vasculature normalization. In this study, a lipid‐polymer nanoparticle is synthesized to execute compartmentalized Cas9 and sgRNA delivery for a permanent vasculature editing strategy by knocking out the signal transducer and activator of transcription 3 (STAT3). The phenylboronic acid branched cationic polymer is designed to condense sgRNA electrostatically (inner compartment) and patch Cas9 coordinatively (outer compartment), followed by liposomal hybridization with angiopep‐2 decoration for blood–brain barrier (BBB) penetration. The lipid‐polymer nanoparticles can reach glioblastoma within 2 h post intravenous administration, and hypoxia in tumor cells triggers charge‐elimination and degradation of the cationic polymer for burst release of Cas9 and sgRNA, accompanied by instant Cas9 RNP assembly, yielding ≈50% STAT3 knockout. The downregulation of downstream vascular endothelial growth factor (VEGF) reprograms vasculature normalization to improve immune infiltration, collaborating with interleukin‐6 (IL‐6) and interleukin‐10 (IL‐10) reduction to develop anti‐glioblastoma responses. Collectively, the combinational assembly for compartmentalized Cas9/sgRNA delivery provides a potential solution in glioblastoma therapy.

As the Coronavirus Disease 2019 (COVID-19) pandemic continues, there is a growing concern regarding the relationship between viral infections and neuropathic pain. Chronic neuropathic pain resulting from virus-induced neural dysfunction has emerged as a significant issue currently faced. However, the molecular mechanisms underlying this phenomenon remain unclear, and clinical treatment outcomes are often suboptimal. Therefore, delving into the relationship between viral infections and neuropathic pain, exploring the pathophysiological characteristics and molecular mechanisms of different viral pain models, can contribute to the discovery of potential therapeutic targets and methods, thereby enhancing pain relief and improving the quality of life for patients. This review focuses on HIV-related neuropathic pain (HNP), postherpetic neuralgia (PHN), and neuropathic pain caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections, examining rodent models and relevant cellular molecular pathways. Through elucidating the connection between viral infections and neuropathic pain, it aims to delineate the current limitations and challenges faced by treatments, thereby providing insights and directions for future clinical practice and research.

The wettability behavior and characteristics of the high chromium cast iron (HCCI)/zirconium dioxide system were studied using the sessile drop method. A complete and uniform layer of titanium was prepared on the surface of ZrO2 ceramics using the salt bath coating method. The introduction of titanium reduced the contact angle of the HCCI/ZrO2 system abruptly from 110° to approximately 13°, at the solid/liquid interface, no complete layer of reaction products was detected, XRD results indicated that TiO, ZrO, and non-stoichiometric ZrO2-x were primarily formed at the interface; thereby the spreading of HCCI on the Ti-coated ZrO2 ceramic plate was primarily dominated by the adsorption of titanium elements at the interface with generation of non-stoichiometric ZrO2-x, and the diffusion of Fe and Cr elements into the interior of the ceramics. Meanwhile, the introduction of titanium elements at the interface between HCCI and ZrO2 benefits the preparation of metallurgical well-bonded composite interfaces.

BackgroundWith the spread and spread of COVID-19 around the world, youth’s learning, lifestyle and health have been greatly affected. Based on the current research, there is no adequate analysis of the development of young people’s physique and heart and lung health during COVID-19, and there is a lack of relevant targeted research. The aim of this study was to investigate the changes of BMI and Maximum Oxygen Absorption (VO2max) in 12–14 year old teenagers before and after COVID-19.MethodThe BMI, 1,000/800 m running time and associated data related to 29,813 individuals between 2019 and 2022 were collected by cluster sampling, and the changes of BMI Z and VO2max before and after the outbreak were analyzed. Moreover, the relationship between BMI and cardiovascular endurance was analyzed by means of multi-linear stepwise regression.ResultsThe covariance analysis models indicated that compared with 2019, adolescent weight, BMI, and 1,000/800 m running time showed varying degrees of growth in 2020, while lung capacity decreased. All indicators achieved rapid rebound in 2021 and 2022 (p

Gut barrier is not only part of the digestive organ but also an important immunological organ for the hosts. The disruption of gut barrier can lead to various diseases such as obesity and colitis. In recent years, traditional Chinese medicine (TCM) has gained much attention for its rich clinical experiences enriched in thousands of years. After orally taken, TCM can interplay with gut microbiota. On one hand, TCM can modulate the composition and function of gut microbiota. On the other hand, gut microbiota can transform TCM compounds. The gut microbiota metabolites produced during the actions of these interplays exert noticeable pharmacological effects on the host especially gut barrier. Recently, a large number of studies have investigated the repairing and fortifying effects of TCM on gut barriers from the perspective of gut microbiota and its metabolites. However, no review has summarized the mechanism behand this beneficiary effects of TCM. In this review, we first briefly introduce the unique structure and specific function of gut barrier. Then, we summarize the interactions and relationship amidst gut microbiota, gut microbiota metabolites and TCM. Further, we summarize the regulative effects and mechanisms of TCM on gut barrier including physical barrier, chemical barrier, immunological barrier, and microbial barrier. At last, we discuss the effects of TCM on diseases that are associated gut barrier destruction such as ulcerative colitis and type 2 diabetes. Our review can provide insights into TCM, gut barrier and gut microbiota.

Wuzi Yanzong Pill (WZYZP), a classic traditional Chinese medicine prescription, has been widely used to alleviate spermatogenesis dysfunction for hundreds of years. However, the molecular mechanisms of WZYZP treatment for spermatogenesis dysfunction remain limited. Here, our results showed that WZYZP significantly improved spermatogenesis and testicular energy metabolism. The 16S rDNA sequencing showed that WZYZP improved gut microbiota dysbiosis, including increased relative abundances of Lactobacillus with the capability of metabolizing Trp. The depletion of gut microbiota by antibiotics suppressed the ability of WZYZP to improve spermatogenesis dysfunction. The untargeted and targeted metabolomics results showed that WZYZP increased Trp metabolites especially aryl hydrocarbon receptor (AhR) ligands. Moreover, WZYZP modulated the AhR/AMPK pathway to improve the expression of spermatogenesis-related genes. The correlation analysis showed that gut microbiota was significantly correlated with Trp metabolites, and Trp metabolites were closely related to spermatogenesis. Overall, the results demonstrated that WZYZP could regulate gut microbiota, and the gut microbial Trp metabolites further act on testicular energy metabolism, thereby indirectly improving spermatogenic dysfunction. Our study provides a novel research strategy for complementary and alternative medicine in male infertility from the perspective of gut microbial metabolites.

Abstract Background Quantitative determination of the correlation between cognitive ability and functional biomarkers in the older brain is essential. To identify biomarkers associated with cognitive performance in the older, this study combined an index model specific for resting-state functional connectivity (FC) with a supervised machine learning method. Methods Performance scores on conventional cognitive test scores and resting-state functional MRI data were obtained for 98 healthy older individuals and 90 healthy youth from two public databases. Based on the test scores, the older cohort was categorized into two groups: excellent and poor. A resting-state FC scores model (rs-FCSM) was constructed for each older individual to determine the relative differences in FC among brain regions compared with that in the youth cohort. Brain areas sensitive to test scores could then be identified using this model. To suggest the effectiveness of constructed model, the scores of these brain areas were used as feature matrix inputs for training an extreme learning machine. classification accuracy (CA) was then tested in separate groups and validated by N-fold cross-validation. Results This learning study could effectively classify the cognitive status of healthy older individuals according to the model scores of frontal lobe, temporal lobe, and parietal lobe with a mean accuracy of 86.67%, which is higher than that achieved using conventional correlation analysis. Conclusion This classification study of the rs-FCSM may facilitate early detection of age-related cognitive decline as well as help reveal the underlying pathological mechanisms.

Abstract Toxoplasmosis is a zoonosis caused by Toxoplasma gondii (T. gondii). The current treatment for toxoplasmosis remains constrained due to the absence of pharmaceutical interventions. Thus, the pursuit of more efficient targets is of great importance. Lipid metabolism in T. gondii, including fatty acid metabolism, phospholipid metabolism, and neutral lipid metabolism, assumes a crucial function in T. gondii because those pathways are largely involved in the formation of the membranous structure and cellular processes such as division, invasion, egress, replication, and apoptosis. The inhibitors of T. gondii’s lipid metabolism can directly lead to the disturbance of various lipid component levels and serious destruction of membrane structure, ultimately leading to the death of the parasites. In this review, the specific lipid metabolism pathways, correlative enzymes, and inhibitors of lipid metabolism of T. gondii are elaborated in detail to generate novel ideas for the development of anti-T. gondii drugs that target the parasites’ lipid metabolism. Graphical abstract

At present, the world is still experiencing a climate warming trend, which has severe implications for Earth's sustainable development. Increasing carbon sinks mitigates climate change and improves national and social development through carbon trade. As the largest carbon pool on the planet, the ocean serves as a major carbon sink. The fishery carbon sink is an important part of the ocean carbon sink, which can increase the capacity of aquatic fishery ecosystems to absorb atmospheric CO2. Marine ranching is a typical example of a carbon sink fishery and an effective model for ensuring the sustainability of the carbon sink effect of aquatic fishery ecosystems. Despite the fact that marine ranching plays an important role in enhancing the carbon capacity of fishery carbon sinks, there have been few studies on marine ranching carbon storage. Reef fish species are the target population for marine ranching conservation and enhancement and are the most typical biological community of an artificial reef ecosystem, with substantial ecological and economic benefits. Reef fish species have an important influence on the carbon cycling, deposition, and removal processes in the ocean. It is one of the key carbon storage components of the marine ranching carbon sink. However, there are currently only a few studies on the carbon storage capacity of reef fish. Therefore, estimating and predicting the carbon storage of reef fish are useful for assessing the carbon sink potential and formulating a stock enhancement strategy for reef fish based on the carbon sink target. Based on this, we conducted research on five species of reef fish. On the one hand, we determined the carbon content of reef fish and used the standing biomass of reef fish harvested by cage nets from Shique Beach marine ranching in April 2017, January 2018, May 2019, and December 2020 to estimate the carbon capacity of reef fish in the artificial reef area and contrast areas in spring 2017, winter 2018, spring 2019, and winter 2020. On the other hand, we used the Grey-Markov model, a prediction model that we initially employed in a fishery study, to predict the carbon potential of reef fish in the artificial reef area in spring 2021, winter 2022, spring 2023, and winter 2024. The results showed that the mean carbon contents of dry reef fish samples were 42.95%~50.19% and that the mean carbon contents of fresh reef fish samples were 11.05%~13.25%. The standing biomass carbon storage of reef fish decreased on a regular basis in reef areas, whereas it fluctuated in contrast areas. The standing biomass carbon storage values of reef fish in the reef area in spring 2017, winter 2018, spring 2019, and winter 2020 were 293.46 t, 104.49 t, 119.40 t, and 48.48 t, respectively. This equates to approximately 0.73 × 104~4.40 × 104 USD carbon sink economic value. The standing biomass carbon storage values of reef fish in contrast areas in spring 2017, winter 2018, spring 2019, and winter 2020 were 21.64 t, 59.07 t, 6.73 t, and 0 t, respectively. Reef fish in reef areas had much higher standing biomass carbon storage values than those in contrast areas. The average relative error of the validation data of the Grey-Markov model was 8%, which was 12% better than the prediction accuracy of the GM(1, 1) model; therefore, we were able to fully demonstrate the superiority of the Grey-Markov model for accurate short-term prediction of the carbon storage of reef fish. The standing biomass carbon storage values of reef fish in reef areas in spring 2021, winter 2022, spring 2023, and winter 2024 were 64.84 t, 49.84 t, 25.28 t, and 19.43 t, showing a decreasing trend. In summary, reef fish species have a strong carbon storage capacity and a high ecological value, which give them an important role in fishery carbon sinks. However, the carbon storage capacity of reef fish is expected to decline in the future, which may be related to their overexploitation. Reef fish species are the primary targets of traditional fisheries. Therefore, we can take the following measures: First, we should consider the carbon storage effect of reef fish; Second, marine ranching operators can strengthen their investment in the construction of artificial reef areas and conduct active stock enhancement of reef fish, which can increase reef fish resources and subsequently reef fish carbon storage. Third, we can strengthen the environmental protection and management of marine ranching. The findings of this study not only provide a basis for assessing the carbon storage potential of reef fish but also serve as a scientific reference for establishing a strategy to develop reef fish resources in marine ranching based on fishery carbon sinks.

Abstract Targeting tumor-infiltrating regulatory T cells (Tregs) is an efficient way to evoke an anti-tumor immune response. However, how Tregs maintain their fragility and stability remains largely unknown. IFITM3 and STAT1 are interferon-induced genes that play a positive role in the progression of tumors. Here, we showed that IFITM3-deficient Tregs blunted tumor growth by strengthening the tumor-killing response and displayed the Th1-like Treg phenotype with higher secretion of IFNγ. Mechanistically, depletion of IFITM3 enhances the translation and phosphorylation of STAT1. On the contrary, the decreased IFITM3 expression in STAT1-deficient Tregs indicates that STAT1 conversely regulates the expression of IFITM3 to form a feedback loop. Blocking the inflammatory cytokine IFNγ or directly depleting STAT1-IFITM3 axis phenocopies the restored suppressive function of tumor-infiltrating Tregs in the tumor model. Overall, our study demonstrates that the perturbation of tumor-infiltrating Tregs through the IFNγ-IFITM3-STAT1 feedback loop is essential for anti-tumor immunity and constitutes a targetable vulnerability of cancer immunotherapy.

Objective: To explore the antioxidant activity of Tolypocladium sinense polysaccharide (TSP) in vitro and its inhibitory effect on apoptosis of mouse islet MIN6 cells which were suffered from oxidative stress-induced by hydrogen peroxide. Methods: The T. sinense polysaccharides was extracted by hot water extraction, and then the scavenging activities of superoxide anion radical (\begin{document}$ {\mathrm{O}}_{2}^{-} $\end{document}·), hydroxyl radical (·OH) and p-1,1-diphenylpicryl phenyl hydrazine radical (DPPH·) was determined. Oxidative stress of mouse islet MIN6 cells was induced by 200 μmol/L hydrogen peroxide (H2O2) and protected by high and low dose TSP (0.625, 0.156 mg/mL). The survival rate of MIN6 cells was determined by MTT method, and the cell morphology was observed by inverted microscope. The lactate dehydrogenase (LDH) level in culture medium, intracellular superoxide dismutase (SOD) activity and malondialdehyde (MDA) content were measured by kit. Apoptosis was detected by flow cytometry. The relative expressions of nuclear factor E2 related factor 2 (Nrf-2) and phosphorylated c-Jun N-terminal kinase (pJNK) were detected by Western Blot. Results: TSP had significant scavenging effect on three kinds of free radicals, and the results of cell experiment showed that compared with the hydrogen peroxide model group, the cell survival rate of high and low dose TSP group increased significantly (P

Abstract Background Lip squamous cell carcinoma (LSCC) was one of the most common cancer types of head and neck tumors. This study aimed to find more predictors of the prognosis in postoperative LSCC patients. Methods A total of 147 LSCC patients between June 2012 and June 2018 were collected from two tertiary care institutions. There were 21 clinicopathological factors included and analyzed in our study. The univariate and multivariate Cox regression analyses were performed to find the independent prognostic factors for predicting progression-free survival (PFS) and overall survival (OS) in postoperative LSCC patients. The role of adjuvant radiotherapy in various subgroups was displayed by Kaplan–Meier plots. Results The 1-, 3-, and 5-year PFS of postoperative LSCC patients were 88.4%, 70.1%, and 57.8%, respectively. Similarly, the 1-, 3-, and 5-year OS of postoperative LSCC patients were 94.6%, 76.9%, and 69.4%, respectively. The results suggested that postoperative LSCC patients with age at diagnosis ≥ 70 years, grade with moderate or poor differentiate, the American Joint Committee on Cancer (AJCC) stage IV, higher systemic immune-inflammation index (SII), surgical margin

Ovarian cancer is a tumor with different clinicopathological and molecular features, and the vast majority of patients have local or extensive spread at the time of diagnosis. Early diagnosis and prognostic prediction of patients can contribute to the understanding of the underlying pathogenesis of ovarian cancer and the improvement of therapeutic outcomes. The occurrence of ovarian cancer is influenced by multiple complex mechanisms, including the genome, transcriptome and proteome. Different types of omics analysis help predict the survival rate of ovarian cancer patients. Multi-omics data of ovarian cancer exhibit high-dimensional heterogeneity, and existing methods for integrating multi-omics data have not taken into account the variability and inter-correlation between different omics data. In this paper, we propose a deep learning model, MDCADON, which utilizes multi-omics data and cross-modal view correlation discovery network. We introduce random forest into LASSO regression for feature selection on mRNA expression, DNA methylation, miRNA expression and copy number variation (CNV), aiming to select important features highly correlated with ovarian cancer prognosis. A multi-modal deep neural network is used to comprehensively learn feature representations of each omics data and clinical data, and cross-modal view correlation discovery network is employed to construct the multi-omics discovery tensor, exploring the inter-relationships between different omics data. The experimental results demonstrate that MDCADON is superior to the existing methods in predicting ovarian cancer prognosis, which enables survival analysis for patients and facilitates the determination of follow-up treatment plans. Finally, we perform Gene Ontology (GO) term analysis and biological pathway analysis on the genes identified by MDCADON, revealing the underlying mechanisms of ovarian cancer and providing certain support for guiding ovarian cancer treatments.

Abstract. Background:. Atopic dermatitis (AD) affects approximately 10% of adults worldwide. CM310 is a humanized monoclonal antibody targeting interleukin-4 receptor alpha that blocks interleukin-4 and interleukin-13 signaling. This trial aimed to evaluate the efficacy and safety of CM310 in Chinese adults with moderate-to-severe AD. Methods:. This multicenter, randomized, double-blind, placebo-controlled, phase 2b trial was conducted in 21 medical institutions in China from February to November 2021. Totally 120 eligible patients were enrolled and randomized (1:1:1) to receive subcutaneous injections of 300 mg CM310, 150 mg CM310, or placebo every 2 weeks for 16 weeks, followed by an 8-week follow-up period. The primary endpoint was the proportion of patients achieving ≥75% improvement in the Eczema Area and Severity Index (EASI-75) score from baseline at week 16. Safety and pharmacodynamics were also studied. Results:. At week 16, the proportion of EASI-75 responders from baseline was significantly higher in the CM310 groups (70% [28/40] for high-dose and 65% [26/40] for low-dose) than that in the placebo group (20%[8/40]). The differences in EASI-75 response rate were 50% (high vs. placebo, 95% CI 31%-69%) and 45% (low vs. placebo, 95% CI 26%-64%), with both P values

Abstract Piezoelectrics are a class of functional materials that have been extensively used for application in modern electro-mechanical and mechatronics technologies. The sign of longitudinal piezoelectric coefficients is typically positive but recently a few ferroelectrics, such as ferroelectric polymer poly(vinylidene fluoride) and van der Waals ferroelectric CuInP2S6, were experimentally found to have negative piezoelectricity. Here, using first-principles calculation and measurements, we show that the sign of the longitudinal linear piezoelectric coefficient of HfO2 can be tuned from positive to negative via epitaxial strain. Nonlinear and even parabolic piezoelectric behaviors are further found at tensile epitaxial strain. This parabolic piezoelectric behavior implies that the polarization decreases when increasing the magnitude of either compressive or tensile longitudinal strain, or, equivalently, that the strain increases when increasing the magnitude of electric field being either parallel or antiparallel to the direction of polarization. The unusual piezoelectric effects are from the chemical coordination of the active oxygen atoms. These striking piezoelectric features of positive and negative sign, as well as linear and parabolical behaviors, expand the current knowledge in piezoelectricity and broaden the potential of piezoelectric applications towards electro-mechanical and communications technology.

Hyperspectral images are widely use due to their rich spectral information. Meanwhile, the difficult acquisition of data labels makes unsupervised classification attracts attention. Subspace clustering as an unsupervised classification method is widely used for hyperspectral image analysis because of its excellent performance and robustness. However, conventional subspace clustering does not consider the nonlinear structure of hyperspectral data, and deep subspace clustering tends to ignore the intrinsic structure of hyperspectral data. To address these problems, we developed a self-expressive learning network, ResSENet, for hyperspectral data; we then proposed the application of ResSENet under graph constraints (GC-ResSENet), considering the intrinsic graph structure of the data. Unlike conventional deep subspace clustering, our model discards the self-expressive layer; self-expressive coefficients between datasets are directly solved by the data using network parameters. Hyperparameters are used in the joint loss to balance the self-expressive properties of the data and the graph constraint terms. We evaluated GC-ResSENet by applying it to four well-known datasets, and our network achieved optimal performance. In addition, because of its abandonment of the self-expressive layer, ResSENet is theoretically capable of clustering with large datasets; thus, we evaluated it using two large datasets.

The clinical advancement of protein-based nanomedicine has revolutionized medical professionals' perspectives on cancer therapy. Protein-based nanoparticles have been exploited as attractive vehicles for cancer nanomedicine due to their unique properties derived from naturally biomacromolecules with superior biocompatibility and pharmaceutical features. Furthermore, the successful translation of Abraxane™ (paclitaxel-based albumin nanoparticles) into clinical application opened a new avenue for protein-based cancer nanomedicine. In this mini-review article, we demonstrate the rational design and recent progress of protein-based nanoparticles along with their applications in cancer diagnosis and therapy from recent literature. The current challenges and hurdles that hinder clinical application of protein-based nanoparticles are highlighted. Finally, future perspectives for translating protein-based nanoparticles into clinic are identified.

Cottonseed is a by-product of cotton industry, but its broad application in human diets has not been fully elucidated. This study aims to analyse the nutritional composition of cotton sprouts and investigate metabolic and transcriptomic differences under light and darkness. The findings revealed that the glanded ZM41 yellow cotton sprouts were rich in protein (2.8 %), vitamin E (0.443 mg/100 g), and minerals, with < 0.01 % free gossypol. Moreover, protein, aspartic acid (1,026 mg/100 g), and serine (136 mg/100 g) reached their highest levels in nine-day-old sprouts, while no significant differences were observed in the other nutrients on the 7th, 9th, or 11th day. The average quantitative values of 64 cottonseed varieties found gossypol (27.9 mg/kg), protein (3.6 %), potassium (1,487.3 mg/kg), calcium (506.2 mg/kg) and magnesium (330.2 mg/kg). Integrated metabolome and transcriptome analyses revealed that 317 out of 1,880 metabolites were differentially accumulated between light and dark conditions, wherein the downregulation of structural genes encoding CHI, F3H, FLS, DFR, F3′H, ANS, LAR and ANR resulted in decreased flavonoid levels in dark-cultivated sprouts, while the upregulation of HMGR and 2-ODD-1 enhanced the biosynthesis of gossypol. This study provides insights into the nutritional and metabolic aspects of cotton sprouts, offering a reference for potential commercial applications.

Infectious hematopoietic necrosis (IHN) is a disease of salmonid fish that is caused by the IHN virus (IHNV), which can cause substantial mortality and economic losses in rainbow trout aquaculture and fisheries enhancement hatchery programs. In a previous study on a commercial rainbow trout breeding line that has undergone selection, we found that genetic resistance to IHNV is controlled by the oligogenic inheritance of several moderate and many small effect quantitative trait loci (QTL). Here we used genome wide association analyses in two different commercial aquaculture lines that were naïve to previous exposure to IHNV to determine whether QTL were shared across lines, and to investigate whether there were major effect loci that were still segregating in the naïve lines. A total of 1,859 and 1,768 offspring from two commercial aquaculture strains were phenotyped for resistance to IHNV and genotyped with the rainbow trout Axiom 57K SNP array. Moderate heritability values (0.15–0.25) were estimated. Two statistical methods were used for genome wide association analyses in the two populations. No major QTL were detected despite the naïve status of the two lines. Further, our analyses confirmed an oligogenic architecture for genetic resistance to IHNV in rainbow trout. Overall, 17 QTL with notable effect (≥1.9% of the additive genetic variance) were detected in at least one of the two rainbow trout lines with at least one of the two statistical methods. Five of those QTL were mapped to overlapping or adjacent chromosomal regions in both lines, suggesting that some loci may be shared across commercial lines. Although some of the loci detected in this GWAS merit further investigation to better understand the biological basis of IHNV disease resistance across populations, the overall genetic architecture of IHNV resistance in the two rainbow trout lines suggests that genomic selection may be a more effective strategy for genetic improvement in this trait.

Safflower (Carthamus tinctorius L.), a member of the Asteraceae family, is widely used in traditional herbal medicine. This review summarized agronomic conditions, genetic diversity, clinical application, and phytochemicals and pharmacological properties of safflower. The genetic diversity of the plant is rich. Abundant in secondary metabolites like flavonoids, phenols, alkaloids, polysaccharides, fatty acids, polyacetylene, and other bioactive components, the medicinal plant is effective for treating cardiovascular diseases, neurodegenerative diseases, and respiratory diseases. Especially, Hydroxysafflor yellow A (HYSA) has a variety of pharmacological effects. In terms of treatment and prevention of some space sickness in space travel, safflower could be a potential therapeutic agent. Further studies are still required to support the development of safflower in medicine. Our review indicates that safflower is an important medicinal plant and research prospects regarding safflower are very broad and worthy of further investigation.

Abstract Earthworms, long utilized in traditional medicine, serve as a source of inspiration for modern therapeutics. Lysenin, a defensive factor in the coelom fluid of the earthworm Eisenia fetida, has multiple bioactivities. However, the inherent toxicity of Lysenin as a pore‐forming protein (PFP) restricts its application in therapy. Here, a gene therapy strategy based on Lysenin for cancer treatment is presented. The formulation consists of polymeric nanoparticles complexed with the plasmid encoding Lysenin. After transfection in vitro, melanoma cells can express Lysenin, resulting in necrosis, autophagy, and immunogenic cell death. The secretory signal peptide alters the intracellular distribution of the expressed product of Lysenin, thereby potentiating its anticancer efficacy. The intratumor injection of Lysenin gene formulation can efficiently kill the transfected melanoma cells and activate the antitumor immune response. Notably, no obvious systemic toxicity is observed during the treatment. Non‐viral gene therapy based on Lysenin derived from Eisenia foetida exhibits potential in cancer therapy, which can inspire future cancer therapeutics.

Background Copper exposure is reported to be associated with increased risk of stroke. However, the association of copper exposure with subclinical carotid atherosclerosis remains unclear. Methods and Results This observational study included consecutive participants from Xinqiao Hospital between May 2020 and August 2021. Blood metals were measured using inductively coupled plasma mass spectrometry and carotid atherosclerosis was assessed using ultrasound. Modified Poisson regression was performed to evaluate the associations of copper and other metals with subclinical carotid plaque presence. Blood metals were analyzed as categorical according to the quartiles. Multivariable models were adjusted for age, sex, body mass index, education, smoking, drinking, hypertension, diabetes, dyslipidemia, estimated glomerular filtration rate, and coronary artery disease history. Bayesian Kernel Machine Regression was conducted to evaluate the overall association of metal mixture with subclinical carotid plaque presence. One thousand five hundred eighty‐five participants were finally enrolled in our study, and carotid plaque was found in 1091 subjects. After adjusting for potential confounders, metal‐progressively‐adjusted models showed that blood copper was positively associated with subclinical carotid plaque (relative risk according to comparing quartile 4 to quartile 1 was 1.124 [1.021–1.238], relative risk according to per interquartile increment was 1.039 [1.008–1.071]). Blood cadmium and lead were also significantly associated with subclinical carotid plaque. Bayesian Kernel Machine Regression analyses suggested a synergistic effect of copper–cadmium–lead mixture on subclinical carotid plaque presence. Conclusions Our findings identify copper as a novel risk factor of subclinical carotid atherosclerosis and show the potential synergistic proatherogenic effect of copper, cadmium, and lead mixture.

Abstract This article reports on the preparation of native/waxy corn starch (NCS/WCS)‐based films with the addition of pullulan (PUL). Our study investigated the effects of varying amounts of PUL and amylose contents on the structure, mechanical and physicochemical properties of corn starch films. Notably, it was observed that WCS films with low amylose content exhibited superior transparency, while NCS films with high amylose content demonstrated enhanced tensile strength (up to 7.35 ± 0.18 MPa). Fourier transform infrared spectroscopy (FTIR) analysis indicated that the addition of PUL did not change the molecular interactions within the corn starch films. The X‐ray diffraction (XRD) results supported that the WCS films were amorphous, while the NCS film exhibited B‐type and V‐type crystals. Moreover, an increase in PUL content led to a gradual reduction in the crystallinity of both WCS films and NCS films. The addition of PUL improved the mechanical properties and oxygen barrier characteristics of these films but had an adverse impact on their water vapor barrier properties. These findings offer valuable insights for the selection of additives for corn starch film, which can further enhance the practical application potential of corn starch films in food and other industries.

Recovery of the coal buried under buildings, railways and water bodies and the residual coal in irregularly arranged fully mechanized mining faces is a common engineering problem facing underground coal mining. In this study, a mining technology of continuous driving and gangue backfilling (CDGB) was proposed. The technology, which can not only alleviate ground subsidence and gangue discharge, but also release the above-mentioned coals, contributes to green and efficient sustainable development of mining. The stability of the system of the solidified body-reserved coal pillar combination (S-C combination) is crucial to the CDGB technology. Therefore, it is of great significance to explore the mechanical and damage characteristics of S-C combination in the synergistic bearing process. First, four sets of different-shaped S-C combination specimens were fabricated and a S-C combination bearing structure in CDGB was constructed to explore the differences in mechanical characteristics and damage modes of different-shaped S-C combination specimens during CDGB. Subsequently, their surface strain field evolutions and acoustic emission (AE) response characteristics in the load-bearing process were obtained with the aid of the digital image correlation technique and the AE signal monitoring system. Furthermore, a damage evolution model based on AE parameters and mechanical parameters was established to clarify the damage evolution law. The following results were obtained: (1) The free area of S-C combination can serve as a quantitative index to evaluate the stability of the overburden control system; (2) The concept of critical value k of the free area was first proposed. When the free area exceeds the critical value k (free area ratio greater than 1.13), the deformation resistance and the free area changes becomes negatively correlated; (3) As the free area expands, the failure of the S-C combination specimen evolves from tensile failure to shear failure. The distribution characteristics of the axial strain field also verified such a change in the failure mode; (4) When the free area expands, the peak AE count gradually changes from “double peaks” to “a single peak”. In this process, the expansion of free area shortens the time for accumulating and releasing energy during loading. Micro cracks generated in the specimen change from a phased steep growth to a continuous increase, and the process in which micro cracks develop, converge, intersect and connect to form macro cracks accelerates. The damage evolution law concluded based on AE parameters and mechanical parameters can well characterize the damage evolution process of S-C combination, providing certain reference for the study on the synergistic bearing of S-C combination during CDGB.

Abstract The single-step approach has become the most widely-used methodology for genomic evaluations when only a subset of phenotyped individuals in the pedigree are genotyped, where the genotypes for non-genotyped individuals are imputed based on gene contents (i.e., genotypes) of genotyped individuals through their pedigree relationships. We proposed a new method named single-step neural network with mixed models (NNMM) to represent single-step genomic evaluations as a neural network of three sequential layers: pedigree, genotypes, and phenotypes. These three sequential layers of information create a unified network instead of two separate steps, allowing the unobserved gene contents of non-genotyped individuals to be sampled based on pedigree, observed genotypes of genotyped individuals, and phenotypes. In addition to imputation of genotypes using all three sources of information, including phenotypes, genotypes, and pedigree, single-step NNMM provides a more flexible framework to allow nonlinear relationships between genotypes and phenotypes, and for individuals to be genotyped with different single-nucleotide polymorphism (SNP) panels. The single-step NNMM has been implemented in the software package “JWAS’.

Due to the limitations on the depth of field of high-resolution fluorescence microscope, it is difficult to obtain an image with all objects in focus. The existing image fusion methods suffer from blocking effects or out-of-focus fluorescence. The proposed multi-focus image fusion method based on local maximum luminosity, intensity variance and the information filling method can reconstruct the all-in-focus image. Moreover, the depth of tissue’s surface can be estimated to reconstruct the 3D surface model.

Even given a state-of-the-art masking scheme, masked software implementation of some cryptography functionality can pose significant challenges stemming, e.g., from simultaneous requirements for efficiency and security. In this paper we design an Instruction Set Extension (ISE) to address a specific element of said challenge, namely the elimination of leakage stemming from architectural and microarchitectural overwriting. Conceptually, the ISE allows a leakage-focused behavioural hint to be communicated from software to the micro-architecture: using it informs how computation is realised when applied to masking-specific data, which then offers an opportunity to eliminate associated leakage. We develop prototype, latencyand area-optimised implementations of the ISE design based on the RISC-V Ibex core. Using them, we demonstrate that use of the ISE can close the gap between assumptions about and actual behaviour of a device and thereby deliver an improved security guarantee.

Abstract Aqueous zinc–halogen batteries (AZHBs) have emerged as promising candidates for energy storage applications due to their high security features and low cost. However, several challenges including natural subliming, sluggish reaction kinetics, and shuttle effect of halogens, as well as dendrite growth of the zinc (Zn) anode, have hindered their large‐scale commercialization. In this review, first the fundamental mechanisms and scientific issues associated with AZHBs are summarized. Then the research issues and progresses related to the cathode, separator, anode, and electrolyte are discussed. Additionally, emerging research opportunities in this field is explored. Finally, ideas and prospects for the future development of AZHBs are presented. The objective of this review is to stimulate further exploration, foster the advancement of AZHBs, and contribute to the diversified development of electrochemical energy storage.

Abstract Aqueous zinc (Zn) ion batteries (AZIBs) have not yet fulfilled their talent of high safety and low cost since the anode/electrolyte interface (AEI) has long been impeded by hydrogen evolution, surface corrosion, dendritic growth, and by‐product accumulation. Here, the hydrolysis of solid buffers is elaborately proposed to comprehensively and enduringly handle these issues. Take 2D layered black phosphorus (BP) as a hydrolytic subject. It is reported that the phosphoric acid generated by hydrolysis in an aqueous electrolyte produces a zinc phosphate (ZPO) rich solid electrolyte interphase (SEI) layer, which largely inhibits the dendrite growth, surface corrosion, and hydrogen evolution. Meanwhile, the hydrolytic phosphoric acid stabilizes the pH value near AEI, avoiding the accumulation of alkaline by‐products. Notably, compared with the disposable ZPO engineerings of anodic SEI pre‐construction and electrolyte additive, the hydrolysis strategy of BP can realize a dramatically prolonged protective effect. As a result, these multiple merits endow BP modified separator to achieve improved stripping/plating stability toward Zn anode with more than ten times lifespan enhancement in Zn||Zn symmetrical cell. More encouragingly, when coupled with a V2O5·nH2O cathode with ultra‐high loadings (34.1 and 28.7 mg cm−2), the cumulative capacities are remarkably promoted for both coin and pouch cells.

Iron-based aqueous redox flow batteries (IBA-RFBs) represent a promising solution for long-duration energy storage, supporting the integration of intermittent renewable energy into the grid, thanks to their commendable safety profile and cost-effectiveness. Membranes, serving as pivotal components in redox flow batteries (RFBs), play a crucial role in facilitating ion conduction for internal circuit formation while preventing the crossover of redox-active species. Given their direct impact on RFB performance and cost, membranes merit considerable attention. This review provides an overview of recent advancements in membranes tailored for IBA-RFBs. Initially, it delineates the operational mechanisms of various IBA-RFB configurations. Subsequently, it delves into key performance metrics for evaluating membrane efficacy, dissecting the intricate interplay between membrane performance and overall IBA-RFB efficiency. Building upon this foundation, the review spotlights recent breakthroughs in ion exchange membranes and porous membranes designed specifically for IBA-RFBs, showcasing their remarkable ability to bolster battery efficiency, cycling stability, and cost-effectiveness. Lastly, this review outlines future directions for membrane development, offering some insights to propel the widespread adoption of IBA-RFBs on a large scale.

As a migratory ungulate species, the chiru (Pantholops hodgsonii) primarily inhabits the Qinghai–Xizang Plateau. The population of the chiru has experienced a steady increase in recent years due to the implementation of rigorous conservation measures, including the establishment of nature reserves and legislation prohibiting hunting and killing. However, the study of chiru population ecology remains poorly understood duo to the unique and harsh natural conditions, as well as the seasonal migration and breeding patterns. In our study, we observed a higher overall population of the chiru (with average daily observations of 352 in 2012–2013 and 453 in 2023) and a demographic shift toward younger age groups (with juvenile percentage at 17.23% in 2023 and 15.85% in 2012–2013), implying the effectiveness of conservation efforts. But the marked increase in mortality rates among chiru warrants serious attention, particularly with regard to juvenile fatalities (from 1 death in 2012–2013 to 51 deaths in 2023). During past conservation efforts, the chiru population has gradually recovered; however, it is imperative to acknowledge the potential future risks due to accelerated climate change and intensification of human activity.

The insulation performance of oil-immersed paper bushings is prone to deteriorate, primarily due to moisture intrusion and thermal aging. The frequency domain spectroscopy (FDS) method is commonly employed to assess the insulation condition of the bushing. However, identifying and extracting relaxation polarization information from the low-frequency region of the FDS curve can be challenging, and there is little research about the condition evaluation under the combined effects of aging states and moisture content. To address this issue, this article uses the Taylor formula mathematical model to extract characteristic parameters from the dielectric modulus curve of OIP bushings and uses the KNN algorithm to achieve the evaluation of aging and moisture status. Then, the effectiveness and accuracy of the proposed method are validated on three field OIP bushings. The results demonstrate that the evaluation accuracy of the proposed method exceeds 83%, which has significant advantages compared to other classification algorithms. The innovation of this article lies in extracting new feature parameters and combining them with intelligent classification algorithms to evaluate the moisture and aging state of the bushing.

Alpine marginal ecosystems above the natural tree line are considered to be the most vulnerable habitats for maintaining local biodiversity. The soil microbial community is crucial for ecosystem stability and function. However, our comprehension of the overall soil microbial community in alpine marginal ecosystems remains limited, particularly regarding environmental stress. We selected the Baima Mountain National Nature Reserve (BMNNR) in the northwest Yunnan provinces as our study area and collected soil samples from three different depth layers, in alpine marginal ecosystems. The phospholipid fatty acid (PLFA) analysis method was utilized to evaluate alterations in soil microbial communities. The results showed that: (1) the PLFA content gradually decreased with increasing soil depth; (2) on the whole, the variations in PLFA across alpine marginal ecosystems were obviously, the highest in alpine meadow (AM) and the lowest in alpine screes (AS); (3) the site effect exerted a greater direct influence than microhabitat effect and elevation (0–5 cm, 32 %, 16 % and 9 %, respectively; 20–40 cm, 46 %, 29 % and 0 %, respectively), with the direct impact of elevation decreasing as soil depth increased (0–5 cm, 5–20 cm and20-40 cm, 9 %, 1 % and 0 %, respectively); and (4) the ratio of cyclopropyl to precursors (Cy:Pre) in all communities was > 0.1, indicating that the soil microbial community was under environmental stress. This study demonstrates the potential of PLFA analysis to profile soil microbial communities and their stress status under field conditions and also provides a better understanding of the correlation between soil microbial communities and the function and health of alpine marginal ecosystems.