Search

Abstract Background Respiratory distress is the main reason for the admission of infants to the neonatal intensive care unit (NICU). Rapid identification of the causes of respiratory distress and selection of appropriate and effective treatment strategies are important to optimise favourable short- and long-term patient outcomes. Lung ultrasound (LUS) technology has become increasingly important in this field. According to the scientific literature, LUS has high sensitivity (92–99%) and specificity (95–97%) in diagnosing neonatal respiratory distress syndrome. This diagnostic power helps guide timely interventions, such as surfactant therapy and mechanical ventilation. Methods Our objective was to outline consensus guidelines among an international panel of experts on the use of LUS to support the decision-making process in managing respiratory distress in the NICU. We used a three-round Delphi process. In each Delphi round, 28 panellists rated their level of agreement with each statement using a four-point Likert scale. Results In round 1, the panellists reviewed 30 initially proposed statements. In rounds 2 and 3, the statements were redeveloped based on the reviewers’ comments, leading to the final approval of 18 statements. Among the 18 consensus statements, grade A was assigned a value of 10, grade B was assigned a value of 7, and grade C was assigned a value of 1. Conclusions A panel of experts agreed on 18 statements regarding managing infants with respiratory distress. Using LUS may help design future interventional studies and improve the benchmarking of respiratory care outcomes.

The study aimed to develop a clinical decision support system for stroke critical-care rehabilitation in medical intensive care units (ICUs) to address the challenges of complex patient conditions, diverse rehabilitation needs, and subjectivity in physician prescriptions. This study proposed a dual-knowledge-driven intelligent rehabilitation decision support system (RDSS) for personalized intensive-care rehabilitation of severe-stroke patients. The system uses proposed collaborative reasoning that integrates semantic reasoning and knowledge graph-based reasoning to recommend rehabilitation plan, other relevant treatment options, potential complications and comorbidities, and risk factors to consider based on the patient’s clinical context information. In order to validate whether this system can enhance doctors’ capability in formulating rehabilitation prescriptions, a comparative evaluation study and a retrospective study were conducted respectively. The results of the comparative study showed that the overlap rate (73.3%) between the RDSS and the gold standard was higher than the average overlap rate (59.4%) between most (96.6%) rehabilitation professionals and the gold standard. In the retrospective study, 92 patients from two hospitals were enrolled, the overlap rate between the rehabilitation plans provided by the RDSS and those provided by the gold standard was over 50% for all cases, with nearly one-fifth achieving a 100% match. Moreover, 46.7% of rehabilitation plans had an overlap rate of 80% or higher, and the overall average overlap rate reached 78.10%. These findings suggest that the proposed RDSS demonstrated strong performance in recommending rehabilitation plans and providing risk reminders, indicating its potential feasibility for use in clinical practice.

OBJECTIVE: The objective of the study was to systematically evaluate and perform a meta-analysis on the adherence to high-flow nasal cannula (HFNC) humidified oxygen therapy and its influencing factors in elderly patients with stable chronic obstructive pulmonary disease (COPD). METHODS: Relevant literature on HFNC and COPD was retrieved from PubMed, EMbase, Web of Science, and Cochrane Library databases. Cross-sectional studies, case–control studies, and cohort studies were included. Screening and quality assessment were conducted using Endnote X9 software. Quality scores were assigned using the Newcastle–Ottawa Scale and the AHRQ assessment tool. Basic information, sample size, and adherence-related factors were extracted, and heterogeneity and publication bias were assessed. RESULTS: A total of 321 articles were initially identified, with 8 English articles involving 325 patients included after screening. Quality assessment yielded five high-quality articles (score > 8), two medium-quality articles (score = 7), and one low-quality article (score = 6). Meta-analysis results showed a COPD patient HFNC adherence rate of 32.7%. Negative factors included the number of acute exacerbations (odds ratio [OR] =2.17), adverse reactions (OR = 4.13), regular follow-up (OR = 9.45), educational level (OR = 5.38), and concurrent medications (OR = 4.71). Positive factors included age < 70 years (OR = 0.45), duration of use (OR = 0.30), inhalation technique (OR = 0.31), treatment satisfaction (OR = 0.35), and adverse reactions (OR = 0.15). Funnel plot and Egger’s test results indicated minimal publication bias. CONCLUSION: Adherence to HFNC in elderly COPD patients is relatively low, influenced by negative factors such as the number of acute exacerbations, adverse reactions, regular follow-up, educational level, and concurrent medications. Positive factors include age < 70 years, duration of use, inhalation technique, treatment satisfaction, and adverse reactions.

Behçet’s disease is a chronic inflammatory condition that affects multiple organs and systems. It is characterized by recurrent oral and genital ulcers. A previous study reported that the IL-17A inhibitor secukinumab can improve the skin and mucosal manifestations in patients with refractory Behçet’s disease. Additionally, secukinumab has been shown to effectively improve neurological symptoms when administered for Behçet’s disease. However, we report a case where Behçet’s disease occurred after the treatment of psoriasis with the IL-17A inhibitor ixekizumab. To summarize its clinical characteristics and treatment experience, we consulted relevant domestic and international literature and conducted a literature review. We concluded that anti-IL-17A treatment may lead to the development of Behçet’s disease. The reported cases are more likely to occur in middle-aged men with varying onset times. The main manifestations include oral and vulvar mucosal ulcers. Furthermore, the gut microbiota may be involved in paradoxical Behçet’s disease.

Abstract Human-machine interaction has emerged as a revolutionary and transformative technology, bridging the gap between human and machine. Gesture recognition, capitalizing on the inherent dexterity of human hands, plays a crucial role in human-machine interaction. However, existing systems often struggle to meet user expectations in terms of comfort, wearability, and seamless daily integration. Here, we propose a handwriting recognition technology utilizing an intelligent hybrid-fabric wristband system. This system integrates spun-film sensors into textiles to form the smart fabric, enabling intelligent functionalities. A thermal encapsulation process is proposed to bond multiple spun-films without additional materials, ensuring the lightweight, breathability, and stretchability of the spun-film sensors. Furthermore, recognition algorithms facilitate precise accurate handwriting recognition of letters, with an accuracy of 96.63%. This system represents a significant step forward in the development of ergonomic and user-friendly wearable devices for enhanced human-machine interaction, particularly in the virtual world.

Abstract A complete goat (Capra hircus) reference genome enhances analyses of genetic variation, thus providing insights into domestication and selection in goats and related species. Here, we assemble a telomere-to-telomere (T2T) gap-free genome (2.86 Gb) from a cashmere goat (T2T-goat1.0), including a Y chromosome of 20.96 Mb. With a base accuracy of >99.999%, T2T-goat1.0 corrects numerous genome-wide structural and base errors in previous assemblies and adds 288.5 Mb of previously unresolved regions and 446 newly assembled genes to the reference genome. We sequence the genomes of five representative goat breeds for PacBio reads, and use T2T-goat1.0 as a reference to identify a total of 63,417 structural variations (SVs) with up to 4711 (7.42%) in the previously unresolved regions. T2T-goat1.0 was applied in population analyses of global wild and domestic goats, which revealed 32,419 SVs and 25,397,794 SNPs, including 870 SVs and 545,026 SNPs in the previously unresolved regions. Also, our analyses reveal a set of selective variants and genes associated with domestication (e.g., NKG2D and ABCC4) and cashmere traits (e.g., ABCC4 and ASIP).

Introduction Patients undergoing surgical procedures are often prone to developing acute stress disorder (ASD) postoperatively. Presently, oxytocin nasal spray has shown significant potential in the treatment of stress-related neuropsychiatric diseases. However, there are few reports on the use of oxytocin nasal spray in postoperative ASD, a condition that can potentially develop into a high-risk factor for post-traumatic stress disorder. This study aims to investigate the effect of pretreatment with oxytocin nasal spray on postoperative ASD in patients with accidental trauma and fracture to provide new clinical insights for the prevention of postoperative ASD.Methods and analysis This study is a single-centre, double-blind, randomised controlled clinical trial. The trial aims to recruit 328 patients with accidental traumatic fractures who underwent surgical treatment. Participants will be randomly categorised into two groups: a control group (0.9% normal saline nasal spray, 1 mL) and an oxytocin group (oxytocin nasal spray, 1 mL/40 IU) at a ratio of 1:1 using the random number table method. The primary outcome is the incidence of ASD on postoperative days 1–3. Secondary outcomes include patient resilience, anxiety, depression and pain scores on postoperative days 1–3. The exploratory results include the concentrations of stress response indicators such as malondialdehyde, cortisol and superoxide dismutase in the saliva before the first intervention and on days 1–3 after surgery.Ethics and dissemination The trial was approved by the clinical research ethics committee of the General Hospital of the Western Theater Command (identifier: 2024EC3-ky014). The findings of this trial will be disseminated in a peer-reviewed journal and in national or international paediatric research to guide future practice.Trial registration number ChiCTR2400082612.

This study investigates the enhancement of gelatin (GEL) films using hydroxypropyl methylcellulose (HPMC) and carboxymethyl cellulose (CMC) for edible film packaging applications. Although GEL is biocompatible and cost-effective, its limited mechanical strength presents significant challenges for practical applications. The findings indicate that CMC effectively increases tensile strength (TS), while HPMC improves elongation at break (EAB) and hydrophilicity. Notably, the composite modification with HPMC and CMC proves to be more effective than individual modifications. The optimal HPMC/CMC ratio of 3:7 resulted in blend films that exhibited the highest TS and lowest water vapor permeability (WVP). Fourier transform infrared (FTIR) analysis revealed enhanced hydrogen bonding between the polymers, while scanning electron microscopy (SEM) and thermogravimetric analysis (TGA) confirmed a more uniform structure with improved thermal stability in the blend films. These results suggest that optimizing the HPMC/CMC ratio in gelatin-based films can significantly enhance their mechanical, barrier, and thermal properties, providing new possibilities for their application as food packaging materials.

ObjectiveRecent studies have indicated a close relationship between intracranial arterial stenosis and white matter hyperintensities (WMHs), but few have reported on the correlation between the characteristics of intracranial arterial wall plaques and WMHs. The aim of this study was to comprehensively assess the correlation between intracranial atherosclerosis plaques and WMHs using 3.0T high-resolution magnetic resonance imaging (HR-MRI).Patients and methodsNinety-two ischemic stroke patients with middle cerebral artery (MCA) stenosis

With the development of artificial intelligence and edge computing, the demand for high-performance non-volatile memory devices has been rapidly increasing. Two-dimensional materials have ultrathin bodies, ultra-flattened surfaces, and superior physics properties, and are promising to be used in non-volatile memory devices. Various kinds of advanced non-volatile memory devices with semiconductor, insulator, ferroelectric, magnetic, and phase-change two-dimensional materials have been investigated in recent years to promote performance enhancement and functionality extension. In this article, the recent advances in two-dimensional material-based non-volatile memory devices are reviewed. Performance criteria and strategies of high-performance two-dimensional non-volatile memory devices are analyzed. Two-dimensional non-volatile memory array structures and their applications in compute-in-memory architectures are discussed. Finally, a summary of this article and future outlooks of two-dimensional non-volatile memory device developments are given.

Highlights The review provides a comprehensive summary of performance limits of the single two-dimensional transition metal dichalcogenide (2D-TMD) transistor. The review details the two logical expressions of the single 2D-TMD logic transistor, including current and voltage. The review demonstrates the two calculating methods for dynamic energy consumption of 2D synaptic devices.

Laser powder bed fusion (LPBF) technology enables personalized customization of medical implants. However, the clinical titanium alloy is biologically inert and can't address bacterial infections. It has been proved that Copper (Cu) -bearing titanium alloys exhibit excellent antibacterial ability and potentials for clinical application. However, it still unclear that the effect of Cu content on the comprehensive properties of LPBF-produced titanium alloy which usually has high strength but poor ductility and corrosion resistance caused by its α′ martensite. This study systematically investigates the effects of Cu content (x = 2, 5, 8 wt%) on the microstructure, mechanical properties, corrosion resistance, antibacterial properties, and cytrocompatibility of the LPBF-produced Ti-xCu alloys. These results prove that the LPBF produced Ti–5Cu alloy possesses the optimal comprehensive performance and has promising clinical application prospects as implant materials.

The microstructure, mechanical properties, corrosion behavior, cytocompatibility, and antibacterial properties of biodegradable Zn-3Cu-xMg (x = 0, 0.5, 1 wt.%) alloys with or without pulsed magnetic field treatment during casting were systematically investigated. Mg addition induced the formation of fine Mg2Zn11 precipitated along the matrix grain boundaries. With the increase in Mg content, the precipitation of the Mg2Zn11 phase increased, and the grain size became finer. Pulsed magnetic field treatment exacerbated the occurrence of this phenomenon. Under the combined action of the Mg2Zn11 phase and refined grain size, Zn3Cu0.5Mg alloy with pulsed magnetic field treatment had the best strength–ductility match (σUTS = 181.46 ± 1.06 MPa, δ = 3.95 ± 0.07%), moderate corrosion rate (icorr = 5.69 ± 3.96 μA/cm2), positive cytocompatibility, and antibacterial properties. This study indicated that Zn3Cu0.5Mg alloy with pulsed magnetic field treatment had the greater potential to further improve its properties through subsequent conventional metal-forming processing and severe plastic deformation techniques to meet clinical requirements, compared to existing as-cast Zn alloys.

With the advances in edge computing and artificial intelligence, the demands of multifunctional electronics with large area efficiency are increased. As the scaling down of the conventional transistor is restricted by physical limits, reconfigurable electronics are developed to promote the functional integration of integrated circuits. Reconfigurable electronics refer to electronics with switchable functionalities, including reconfigurable logic operation functionalities and reconfigurable responses to electrical or optical signals. Reconfigurable electronics integrate data-processing capabilities with reduced size. Two-dimensional (2D) semiconductor materials exhibit excellent modulation capabilities through electrical and optical signals, and structural designs of 2D material devices achieve versatile and switchable functionalities. 2D semiconductors have great potential to develop advanced reconfigurable electronics. Recent years witnessed the rapid development of 2D material devices for reconfigurable electronics. This work focuses on the working principles of 2D material devices used for reconfigurable electronics, discusses applications of 2D-material-based reconfigurable electronics in logic operation and artificial intelligence, and further provides a future outlook for the development of reconfigurable electronics based on 2D material devices.

Abstract With field effect transistor (FET) sustained to downscale to sub‐10 nm nodes, performance degradation originates from short channel effects (SCEs) degradation and power consumption increment attributed to inhibition of supply voltage (VDD) scaling down proportionally caused by thermionic limit subthreshold swing (SS) (60 mV dec−1) pose substantial challenges for today's semiconductor industry. To further sustain the Moore's law life, incorporation of new device concepts or new materials are imperative. 2D materials are predicted to be able to combat SCEs by virtue of high carrier mobility maintainability regardless of thickness thinning down, dangling bonds free surface and atomic thickness, which contributes to super gate electrostatic controllability. To overcome increasing power dissipation problem, new device structures including negative capacitance FET (NCFET), tunnel FET (TFET), dirac source FET (DSFET) and the like, which show superiority in decreasing VDD by lowering SS below thermionic limit of 60 mV dec−1 have been brought out. The combination of 2D materials and ultralow steep slope device structures holds great promise for low power‐dissipation electronics, which encompass both suppressed SCEs and reduced VDD simultaneously, leading to improved device performance and lowered power dissipation.

Background: The treatment of oral leukoplakia (OLK) with aminolaevulinic acid photodynamic therapy (ALA-PDT) is widespread. Nonetheless, there is variation in efficacy. Therefore, this study constructed a model for predicting the short-term efficacy and recurrence of OLK after ALA-PDT. Methods: The short-term efficacy and recurrence of ALA-PDT were calculated by statistical analysis, and the relevant influencing factors were analyzed by Logistic regression and COX regression model. Finally, prediction models for total response (TR) rate, complete response (CR) rate and recurrence in OLK patients after ALA-PDT treatment were established. Features from pathology sections were extracted using deep learning autoencoder and combined with clinical variables to improve prediction performance of the model. Results: The logistic regression analysis showed that the non-homogeneous (OR: 4.911, P: 0.023) OLK and lesions with moderate to severe epithelial dysplasia (OR: 4.288, P: 0.042) had better short-term efficacy. The area under receiver operating characteristic curve (AUC) of CR, TR and recurrence predict models after the ALA-PDT treatment of OLK patients is 0.872, 0.718, and 0.564, respectively. Feature extraction revealed an association between inflammatory cell infiltration in the lamina propria and recurrence after PDT. Combining clinical variables and deep learning improved the performance of recurrence model by more than 30 %. Conclusions: ALA-PDT has excellent short-term efficacy in the management of OLK but the recurrence rate was high. Prediction model based on clinicopathological characteristics has excellent predictive effect for short-term efficacy but limited effect for recurrence. The use of deep learning and pathology images greatly improves predictive value of the models.

Abstract Background Microcirculatory perfusion disorder and inflammatory response are critical links in acute kidney injury (AKI). We aim to construct anti‐vascular cell adhesion molecule‐1(VCAM‐1) targeted microbubbles (TM) to monitor renal microcirculatory perfusion and inflammatory response. Methods TM carrying VCAM‐1 polypeptide was constructed by biological coupling. The binding ability of TM to human umbilical vein endothelial cells (HUVECs) was detected. Bilateral renal ischemia–reperfusion injury (IRI) models of mice were established to evaluate microcirculatory perfusion and inflammatory response using TM. Thirty‐six mice were randomly divided into six groups according to the different reperfusion time (0.5, 2, 6, 12, and 24 h) and sham‐operated group (Sham group). The correlation of TM imaging with serum and histopathological biomarkers was investigated. Results TM has advantages such as uniform distribution, regular shape, high stability, and good biosafety. TM could bind specifically to VCAM‐1 molecule expressed by tumor necrosis factor‐alpha (TNF‐α)‐treated HUVECs. In the renal IRI‐AKI model, the area under the curve (AUC) of TM significantly decreased both in the renal cortical and medullary after 2 h of reperfusion compared with the Sham group (p

Background: Ropivacaine (Rop) is a local anesthetic that is widely used but is also potentially harmful. Quercetin (Quer) is a flavonoid component found in many plants and traditional Chinese medicines. It possesses anti-oxidant, anti-inflammatory, antitumor, and neuroprotective properties as a pharmaceutical. In Rop-induced neurotoxicity, the functions and molecular basis of Quer remain unclear. Methods: Cell viability and proliferation were assessed using CCK-8 and 5-ethynyl-2′-deoxyuridine (EdU) incorporation assays, respectively. Apoptosis and autophagy were defined by both morphological criteria and markers such as caspase3 cleavage and monodansylcadaverine (MDC) staining. Western blot and immunofluorescence staining were evaluated. The target proteins were then predicted using molecular docking and validated at the cellular and protein levels. Results: Quer was shown to significantly reduce Rop-induced viability inhibition and apoptosis in SH-SY5Y cells in a dose-dependent manner. Moreover, Quer reduced Rop-induced cytotoxicity by stimulating autophagy in SH-SY5Y cells by targeting the Pim1 protein, which was accomplished via the AMPK/mTOR pathway. Conclusion: Quer relieved Rop-induced neurotoxicity in SH-SY5Y cells through upregulating Pim1 and enhancing autophagy, indicating that Quer may have potential therapeutic applications in the treatment of Rop-induced neurotoxicities.

Introduction Diabetic retinopathy (DR) is a common vascular complication of diabetes mellitus and a leading cause of vision loss worldwide. Endothelial cell (EC) heterogeneity has been observed in the pathogenesis of DR. Elucidating the underlying mechanisms governing EC heterogeneity may provide novel insights into EC-specific therapies for DR.Research design and methods We used the single-cell data from the Gene Expression Omnibus database to explore EC heterogeneity between diabetic retinas and non-diabetic retinas and identify the potential genes involved in DR. CCK-8 assays, EdU assays, transwell assays, and tube formation assays were conducted to determine the role of the identified gene in angiogenic effects.Results Our analysis identified three distinct EC subpopulations in retinas and revealed that Mitochondria-localized glutamic acid-rich protein (Mgarp) gene is potentially involved in the pathogenesis of DR. Silencing of Mgarp significantly suppressed the proliferation, migration, and tube formation capacities in retinal endothelial cells.Conclusions This study not only offers new insights into transcriptomic heterogeneity and pathological alteration of retinal ECs but also holds the promise to pave the way for antiangiogenic therapy by targeting EC-specific gene.

Abstract Background There is a lack of effective therapeutic strategies for amyotrophic lateral sclerosis (ALS); therefore, drug repurposing might provide a rapid approach to meet the urgent need for treatment. Methods To identify therapeutic targets associated with ALS, we conducted Mendelian randomization (MR) analysis and colocalization analysis using cis-eQTL of druggable gene and ALS GWAS data collections to determine annotated druggable gene targets that exhibited significant associations with ALS. By subsequent repurposing drug discovery coupled with inclusion criteria selection, we identified several drug candidates corresponding to their druggable gene targets that have been genetically validated. The pharmacological assays were then conducted to further assess the efficacy of genetics-supported repurposed drugs for potential ALS therapy in various cellular models. Results Through MR analysis, we identified potential ALS druggable genes in the blood, including TBK1 [OR 1.30, 95%CI (1.19, 1.42)], TNFSF12 [OR 1.36, 95%CI (1.19, 1.56)], GPX3 [OR 1.28, 95%CI (1.15, 1.43)], TNFSF13 [OR 0.45, 95%CI (0.32, 0.64)], and CD68 [OR 0.38, 95%CI (0.24, 0.58)]. Additionally, we identified potential ALS druggable genes in the brain, including RESP18 [OR 1.11, 95%CI (1.07, 1.16)], GPX3 [OR 0.57, 95%CI (0.48, 0.68)], GDF9 [OR 0.77, 95%CI (0.67, 0.88)], and PTPRN [OR 0.17, 95%CI (0.08, 0.34)]. Among them, TBK1, TNFSF12, RESP18, and GPX3 were confirmed in further colocalization analysis. We identified five drugs with repurposing opportunities targeting TBK1, TNFSF12, and GPX3, namely fostamatinib (R788), amlexanox (AMX), BIIB-023, RG-7212, and glutathione as potential repurposing drugs. R788 and AMX were prioritized due to their genetic supports, safety profiles, and cost-effectiveness evaluation. Further pharmacological analysis revealed that R788 and AMX mitigated neuroinflammation in ALS cell models characterized by overly active cGAS/STING signaling that was induced by MSA-2 or ALS-related toxic proteins (TDP-43 and SOD1), through the inhibition of TBK1 phosphorylation. Conclusions Our MR analyses provided genetic evidence supporting TBK1, TNFSF12, RESP18, and GPX3 as druggable genes for ALS treatment. Among the drug candidates targeting the above genes with repurposing opportunities, FDA-approved drug-R788 and AMX served as effective TBK1 inhibitors. The subsequent pharmacological studies validated the potential of R788 and AMX for treating specific ALS subtypes through the inhibition of TBK1 phosphorylation.

Abstract Serum amyloid A1 (SAA1), an inflammation-related molecule, is associated with the malignant progression of many tumors. This study aimed to investigate the role of SAA1 in the progression of esophageal squamous cell carcinoma (ESCC) and its molecular mechanisms. The expression of SAA1 in ESCC tissues and cell lines was analyzed using bioinformatics analysis, western blotting, and reverse transcription-quantitative PCR (RT‒qPCR). SAA1-overexpressing or SAA1-knockdown ESCC cells were used to assess the effects of SAA1 on the proliferation, migration, apoptosis of cancer cells and the growth of xenograft tumors in nude mice. Western blotting, immunofluorescence and RT‒qPCR were used to investigate the relationship between SAA1 and β-catenin and SAA1 and sphingosine 1-phosphate (S1P)/sphingosine 1-phosphate receptor 1 (S1PR1). SAA1 was highly expressed in ESCC tissues and cell lines. Overexpression of SAA1 significantly promoted the proliferation, migration and the growth of tumors in nude mice. Knockdown of SAA1 had the opposite effects and promoted the apoptosis of ESCC cells. Moreover, SAA1 overexpression promoted the phosphorylation of β-catenin at Ser675 and increased the expression levels of the β-catenin target genes MYC and MMP9. Knockdown of SAA1 had the opposite effects. S1P/S1PR1 upregulated SAA1 expression and β-catenin phosphorylation at Ser675 in ESCC cells. In conclusion, SAA1 promotes the progression of ESCC by increasing β-catenin phosphorylation at Ser675, and the S1P/S1PR1 pathway plays an important role in its upstream regulation.

In this study, the fresh leaves of Yun kang 10 with one bud and two or three leaves in spring, summer and autumn were used as raw materials. After anaerobic treatment, white tea was processed by the same process. The quality differences of white tea made from raw materials in three seasons after anaerobic treatment were explored by sensory evaluation, physical and chemical composition determination and UHPLC-MS/MS high-throughput detection technology to detect the content of amino acid components. The results showed that there were significant differences in the quality of white tea in the three seasons. The dry tea of white tea in spring was bright green in color. The aroma was strong, lasting, high and intensive, and had a variety of aroma types such as flowery, honey, tip aroma, medicinal and the fragrance of unique process. The taste was strong, fresh, sweet and brisk. The color of tea soup was bright yellow. Infused leaf was soft and bright. The quality of sensory was the best. The contents of amino acids, soluble sugar, caffeine, water extract and flavonoids of white tea were the highest in spring, and the content of tea polyphenols white tea was the highest in summer. A total of twenty amino acids were detected, of which 18 amino acids were significantly different (P

Highlights This review introduces the potential of 2D electronics for post-Moore era and discusses their current progress in digital circuits, analog circuits, heterogeneous integration, sensing circuits, artificial intelligence chips, and quantum chips in sequence. A comprehensive analysis of the current trends and challenges encountered in the development of 2D materials is summarized. An in-depth roadmap outlining the future development of 2D electronics is presented, and the most accessible and promising avenues for 2D electronics are suggested.

In order to explore the role of exogenous bacteria in the fermentation process of Pu-erh tea and its impact on tea quality, the present study aimed to explore the differences in metabolite changes during fermentation of Pu-erh tea treated with different bacterial strains. To achieve this, non-targeted metabolomics technology was employed, which was combined with multivariate statistical analysis and differential heat maps. The study analyzed the flavonoids, alkaloids, and terpenoids present in the tea samples. The H group was found to have a fruity and sweet aroma, a bright red soup color, and a strong and sweet taste. The A group had a strong floral and honey aroma, a bright red soup color, and a strong and sweet aftertaste. The R group had a fruity and milky aroma, a bright yellow soup color, and a strong but astringent and bitter taste. These differences in quality were found to be related to the levels of metabolites such as malvidin, genkwanin, catechins, caffeine, and lactucin. The study provided preliminary insights into the differences in metabolite content during the fermentation of Pu-erh tea with different bacterial strains, which can have varying effects on the taste, aroma, and soup color of the tea. The findings of this study could provide theoretical assistance for future Pu-erh tea fermentation.

Abstract Backgrounds The reliable ultrasound (US) measurements of papillary thyroid microcarcinoma (PTMC) are very important during active surveillance. This prospective study was design to investigate the inter-observer reliability and agreement of two- dimensional ultrasound(2DUS) and three-dimensional ultrasound(3DUS) in the measurement of maximum diameter and volume for PTMC. Methods This prospective study included 51 consecutive patients with solitary PTMC confirmed by biopsy. Two independent observers performed measurements of each tumor using a standardized measurement protocol. The maximum diameter was the largest one of the three diameters measured on the largest transverse and longitudinal 2DUS images. 2DUS volume was calculated using ellipsoid formula method. The virtual organ computer aided analysis(VOCAL) was used to determine 3DUS volume. The inter-observer reliability was assessed using intraclass correlation coefficient(ICC) with 95% confidence intervals(CIs). Bland-Altman analysis was used to evaluate agreement, and expressed as a bias with 95% limits of agreement(LOA). Results The maximum diameter was 0.78 ± 0.14 cm. Volume measured by 3DUS was significantly smaller than that by 2DUS(0.163 ± 0.074 cm3 vs. 0.175 ± 0.078 cm3, P = 0.005). The ICCs of inter-observer reliability of maximum diameter, 2DUS volume and 3DUS volume was 0.922(0.864–0.955), 0.928(0.874–0.959), and 0.974(0.955–0.985), respectively. The ICCs of 2DUS and 3DUS volume was 0.955(0.909–0.976). The inter-observer agreement of maximum diameter, 2DUS volume and 3DUS volume was 1.096(0.7322 to 1.459), 1.008(0.5802–1.435), and 1.011(0.7576–1.265), respectively. The inter-observer agreement of 2DUS and 3DUS volume was 1.096(0.7322 to 1.459). Conclusion Maximum diameter had the lowest degree of observer variation among all the measurements. Volume measured by 3DUS had lower variability and higher repeatability than that by 2DUS, which might be helpful to provide more reliable estimates of tumor size for PTMC.

Abstract The development of strain sensors with high stretchability and stability is an inevitable requirement for achieving full‐range and long‐term use of wearable electronic devices. Herein, a resistive micromesh reinforced strain sensor (MRSS) with high stretchability and stability is prepared, consisting of a laser‐scribed graphene (LSG) layer and two styrene‐block‐poly(ethylene‐ran‐butylene)‐block‐poly‐styrene micromesh layers embedded in Ecoflex. The micromesh reinforced structure endows the MRSS with combined characteristics of a high stretchability (120%), excellent stability (with a repetition error of 0.8% after 11 000 cycles), and outstanding sensitivity (gauge factor up to 2692 beyond 100%). Impressively, the MRSS can still be used continauously within the working range without damage, even if stretched to 300%. Furthermore, compared with different structure sensors, the mechanism of the MRSS with high stretchability and stability is elucidated. What's more, a multilayer finite element model, based on the layered structure of the LSG and the morphology of the cracks, is proposed to investigate the strain sensing behavior and failure mechanism of the MRSS. Finally, due to the outstanding performance, the MRSS not only performes well in monitoring full‐range human motions, but also achieves intelligent recognitions of various respiratory activities and gestures assisted by neural network algorithms (the accuracy up to 94.29% and 100%, respectively). This work provides a new approach for designing high‐performance resistive strain sensors and shows great potential in full‐range and long‐term intelligent health management and human–machine interactions applications.

Abstract Background Non-invasive prenatal testing (NIPT) using cell-free DNA has been widely used for prenatal screening to detect the common fetal aneuploidies (such as trisomy 21, 18, and 13). NIPT has been shown to be highly sensitive and specific in previous studies, but false positives (FPs) and false negatives (FNs) occur. Although the prevalence of FN NIPT results for Down syndrome is rare, the impact on families and society is significant. Case presentation This article described two cases of foetuses that tested “negative” for trisomy 21 by NIPT technology using the semiconductor sequencing platform. However, the fetal karyotypes of amniotic fluid were 46,XY, + 21 der(21;21)(q10;q10) and 47,XY, + 21 karyotypes, respectively. Placental biopsies confirmed that, in the first case, the chromosome 21 placenta chimerism ratio ranged from 13 to 88% with the 46,XX, + 21,der(21;21)(q10;q10)[86]/46,XX[14] karyotype of placental chorionic cells (middle of fetal-side placental tissue). However, in the second case, of all the placental biopsies, percentage of total chimerism was less than 30%; and placental biopsies taken at the middle of maternal side and middle of fetal side, also had variable trisomy 2 mosaicism levels of 10% and 8%, respectively. Ultimately, the pregnancies were interrupted at 30 gestational age (GA) and 27GA, respectively. Conclusions In this study, we present two cases of FN NIPT results that might have been caused by biological mechanisms, as opposed to poor quality, technical errors, or negligence. Clinical geneticists and their patients must understand that NIPT is a screening procedure.

To further develop Liupao tea products and enhance their flavor, this study investigated the effects of different fermentation methods on the aroma quality of Liupao tea. The aroma quality of Liupao tea was comprehensively analyzed using HS-SPME in combination with GC-Q-TOF-MS, electronic nose, and sensory evaluations. Electronic nose detection showed that the aroma fingerprints of Liupao tea samples with different fermentation methods were different. Sulfides, alcohols, ketones, and methyls were the main aroma categories affecting the aroma of the four groups of Liupao tea samples. GC-Q-TOF-MS analysis revealed significant differences in the composition of aroma components among the four fermentation methods of Liupao tea (p < 0.05). Furthermore, the total amount of aroma compounds was found to be highest in the group subjected to hot fermentation combined with the inoculation of Monascus purpureus (DMl group). Based on the OPLS-DA model, candidate differential aroma components with VIP > 1 were identified, and characteristic aroma compounds were selected based on OAV > 10. The key characteristic aroma compounds shared by the four groups of samples were 1,2,3-Trimethoxybenzene with a stale aroma and nonanal with floral and fruity aromas. The best sensory evaluation results were obtained for the DMl group, and its key characteristic aroma compounds mainly included 1,2,3-Trimethoxybenzene, nonanal, and cedrol. The results of this study can guide the development of Liupao tea products and process optimization.

Depression is currently a major contributor to unnatural deaths and the healthcare burden globally, and a patient’s battle with depression is often a long one. Because the causes, symptoms, and effects of medications are complex and highly individualized, early identification and personalized treatment of depression are key to improving treatment outcomes. The development of wearable electronics, machine learning, and other technologies in recent years has provided more possibilities for the realization of this goal. Conducting regular monitoring through biosensing technology allows for a more comprehensive and objective analysis than previous self-evaluations. This includes identifying depressive episodes, distinguishing somatization symptoms, analyzing etiology, and evaluating the effectiveness of treatment programs. This review summarizes recent research on biosensing technologies for depression. Special attention is given to technologies that can be portable or wearable, with the potential to enable patient use outside of the hospital, for long periods.