What is the impact of acute endocrine and metabolic alterations on long-term ischemic stroke prognosis: a prospective study.

BACKGROUND: Post-stroke stress can trigger instant survival but its influence on long-term ischemic stroke outcomes remains controversial. Thus, we sought to explore the associations of acute post-stroke stress evidenced by endocrine and metabolic changes, with long-term ischemic stroke outcomes. METHODS: Admissions for acute ischemic stroke within seven days of onset were prospectively recruited to determine acute endocrine and metabolic variations measured by thyroid parameters and the stress hyperglycemia ratio (SHR). Long-term ischemic stroke prognoses were followed up for one year, with the primary outcome being a modified Rankin Scale score of 3 to 6. RESULTS: A total of 887 patients were enrolled, of which 535 reached the final one-year followed up at a poor prognosis rate of 29.3%. Patients with poor outcomes were observed to have lower levels of free triiodothyronine (fT3) and higher levels of SHR on admission. Medium values (fT3, 4.4 mmol/L; SHR, 8 nmol/L) were used to divide patients into four gradient stress degrees. Larger acute endocrine and metabolic variations (fT3 < 4.4 mmol/L and SHR ≥ 8 nmol/L) were independently associated with a poor one-year prognosis (adjusted OR = 4.231, P = 0.001). CONCLUSIONS: High degrees of acute post-stroke stress may aggravate long-term ischemic stroke prognosis and timely stress-reduced interventions may help promote post-stroke living quality is equally important as survival.

Whether coagulation dysfunction influences the onset and progression of diabetic peripheral neuropathy: A multicenter study in middle-aged and aged patients with type 2 diabetes.

BACKGROUND: Nearly half of patients with diabetes experience diabetic peripheral neuropathy (DPN), resulting in a mere 53% survival rate within 3 years. Aberrations in coagulation function have been implicated in the pathogenesis of microvascular complications, prompting the need for a thorough investigation into its role as a contributing factor in the development and progression of DPN. METHODS: Data were gathered from 1211 type 2 diabetes patients admitted to five centers from September 2018 to October 2022 in China. DPN was evaluated by symptoms and electromyography. Motor and sensory nerve conduction velocity (NCV) was appraised and the NCV sum score was calculated for the median, ulnar, and peroneal motor or sensory nerves. RESULTS: Patients with DPN exhibited alterations in coagulation function. (i) Specifically, they exhibited prolonged thrombin time (p = 0.012), elevated fibrinogen (p < 0.001), and shortened activated partial thromboplastin time (APTT; p = 0.026) when compared to the control group. (ii) After accounting for potential confounders in linear regression, fibrinogen, and D-dimer were negatively related to the motor NCV, motor amplitude values, and mean velocity and amplitude. Also, fibrinogen was associated with higher Michigan neuropathy screening instrument (MNSI) scores (ß 0.140; p = 0.001). This result of fibrinogen can be validated in the validation cohort with 317 diabetic patients. (iii) Fibrinogen was independently associated with the risk of DPN (OR 1.172; p = 0.035). In the total age group, DPN occurred at a slower rate until the predicted fibrinogen level reached around 3.75 g/L, after which the risk sharply escalated. CONCLUSIONS: Coagulation function is warranted to be concerned in patients with type 2 diabetes to predict and prevent the occurrence of DPN in clinical practice.

Chain Friction and Lubrication Balanced Ultra-Tough Polyacrylates With Wide-Span Switchable Stiffness for Strain-Programmable Deformation.

Natural mollusks perform complex mechanical actions through reversible large-strain deformation and stiffness switching, which are challenging to achieve simultaneously in synthetic materials. Herein, it is shown that a set of polyacrylates designed according to a chain friction and lubrication balanced strategy shows ultra-stretchability (λ up to 324), high resilience (near 100% recovery at strain ≥ 100), and wide-span stiffness switching (up to 2073 times). The typical emulsion polymerization method and casting technique are adopted to fabricate the polyacrylate films. Quaternary ammonium surfactants are used as the emulsifier and reserved in the polymer matrix to enhance the chain segment lubrication with their long alkyl group but improve the whole chain friction through the formation of nano-eutectics. These polyacrylates undergo multimodal mechanical responses, including temperature- or time-programmed deformation and load-bearing like artificial muscles. This molecular design principle and synthetic method provide a robust platform for the fabrication of ultra-tough polymers for soft robots with multiple customized functions.

Association of dynamic hepatic metabolism with clinical outcomes in patients with severe Guillain-Barré syndrome: A prospective cohort study from multi-centers in China.

BACKGROUND AND AIMS: Little is known about the ability of serological biomarkers to monitor clinical outcomes in patients with Guillain-Barré syndrome (GBS). The objective of this study was to determine the associations of liver function, easily available and convenient biomarkers, with the clinical course and outcome of severe GBS in patients. METHODS: A prospective data collection was conducted in a cohort of 343 GBS patients from multi-centers between September 2019 and December 2023. Serum samples were obtained at four-time points for mechanical ventilation (MV) patients and two-time points for non-MV patients. The primary endpoint was the need for MV during hospitalization, while secondary outcomes included the ability to walk independently and the mortality at 26-week follow-up. RESULTS: (i) A total of 208 patients were eligible, of whom 50 required MV with a median (interquartile range) ventilation duration of 15 (8-27) days. (ii) Hypohepatia, as evidenced by reduced total protein (OR 0.913 [95% CI 0.862-0.967]) and albumin (0.775 [0.679-0.884]) 1 week after treatment, along with raised liver enzymes (2.732 [1.007-7.413]), was associated with the risk of MV after adjusting for confounders. (iii) After 26-week follow-up, patients with hypohepatia were less likely to regain independent walking and exhibited higher mortality in survival analysis (all log-rank p < .05). (iv) In a cross-sectional study spanning up to 4 years of follow-up, patients with prolonged MV (≥15 days) experienced a longer time to regain independent ambulation than those with shorter MV (167 [46-316] vs. 69 [24-106], p = .036). However, no relationships between liver function and prolonged MV were revealed. INTERPRETATION: Dynamically monitoring hepatic metabolism and promptly adjusting, it can aid the improvement of GBS in patients.

The association of initial and changes in serum A-FABP level with the development and improvement of pre-sarcopenia.

CONTEXT: Several cross-sectional studies have reported the association between serum adipocyte fatty acid binding protein (A-FABP) level and pre-sarcopenia. However, data on the impacts of serum A-FABP level and its changes over time on the development and improvement of pre-sarcopenia are scarce. METHODS: This longitudinal cohort study included 1496 adults (41.2% men; median age, 58 [53-63] years) in 2013-2014 and was followed up to 2015-2016. Participants underwent serum A-FABP level measurements at baseline and follow-up visit. Visceral fat area (VFA) was measured using magnetic resonance imaging. Skeletal muscle mass (SMM) was estimated by bioelectrical impedance analysis and converted to skeletal muscle index (SMI). Pre-sarcopenia was defined as SMI < 1 standard deviation of the sex-specific mean for the young reference group. RESULTS: During an average follow-up period of 2.1 years, baseline serum A-FABP level was positively associated with the incidence of pre-sarcopenia (standardized by weight: risk ratio [RR] 3.22, 95% confidence interval [CI] 1.96-5.38; standardized by VFA: RR 2.11, 95%CI 1.29-3.51) and negatively associated with the improvement of pre-sarcopenia (standardized by weight: RR 0.66, 95%CI 0.45-0.97; standardized by VFA: RR 0.71, 95%CI 0.54-0.94), regardless of whether SMM was standardized by weight or VFA. Moreover, changes in serum A-FABP level provided additional information on the incidence and improvement of pre-sarcopenia, independent of baseline serum A-FABP level (all P < 0.05). CONCLUSIONS: Baseline serum A-FABP level and its changes were positively associated with the incidence, and negatively associated with the improvement of pre-sarcopenia.

Hierarchical determinants in cytotoxic necrotizing factor (CNF) toxins driving Rho G-protein deamidation versus transglutamination.

The cytotoxic necrotizing factor (CNF) family of AB-type bacterial protein toxins catalyze two types of modification on their Rho GTPase substrates: deamidation and transglutamination. It has been established that E. coli CNF1 and its close homolog proteins catalyze primarily deamidation and Bordetella dermonecrotic toxin (DNT) catalyzes primarily transglutamination. The rapidly expanding microbial genome sequencing data have revealed that there are at least 13 full-length variants of CNF1 homologs. CNFx from E. coli strain GN02091 is the most distant from all other members of the CNF family with 50%-55% sequence identity at the protein level and 0.45-0.52 nucleotide substitutions per site at the DNA level. CNFx modifies RhoA, Rac1, and Cdc42, and like CNF1, activates downstream SRE-dependent mitogenic signaling pathways in human HEK293T cells, but at a 1,000-fold higher EC50 value. Unlike other previously characterized CNF toxins, CNFx modifies Rho proteins primarily through transglutamination, as evidenced by gel-shift assay and confirmed by MALDI mass spectral analysis, when coexpressed with Rho-protein substrates in E. coli BL21 cells or through direct treatment of HEK293T cells. A comparison of CNF1 and CNFx sequences identified two critical active-site residues corresponding to positions 832 and 862 in CNF1. Reciprocal site-specific mutations at these residues in each toxin revealed hierarchical rules that define the preference for deamidase versus a transglutaminase activity in CNFs. An additional unique Cys residue at the C-terminus of CNFx was also discovered to be critical for retarding cargo delivery.IMPORTANCECytotoxic necrotizing factor (CNF) toxins not only play important virulence roles in pathogenic E. coli and other bacterial pathogens, but CNF-like genes have also been found in an expanding number of genomes from clinical isolates. Harnessing the power of evolutionary relationships among the CNF toxins enabled the deciphering of the hierarchical active-site determinants that define whether they modify their Rho GTPase substrates through deamidation or transglutamination. With our finding that a distant CNF variant (CNFx) unlike other known CNFs predominantly transglutaminates its Rho GTPase substrates, the paradigm of "CNFs deamidate and DNTs transglutaminate" could finally be attributed to two critical amino acid residues within the active site other than the previously identified catalytic Cys-His dyad residues. The significance of our approach and research findings is that they can be applied to deciphering enzyme reaction determinants and substrate specificities for other bacterial proteins in the development of precision therapeutic strategies.

Electrically weldable conductive elastomers.

Flexible and stretchable electronic devices are subject to failure because of vulnerable circuit interconnections. We develop a low-voltage (1.5 to 4.5 V) and rapid (as low as 5 s) electric welding strategy to integrate both rigid electronic components and soft sensors in flexible circuits under ambient conditions. This is achieved through the design of conductive elastomers composed of borate ester polymers and conductive fillers, which can be self-welded and generate welding effects to various materials including metals, hydrogels, and other conductive elastomers. The welding effect is generated through the electrochemical reaction-triggered exposure of interfacial adhesive promotors or the cleavage/reformation of dynamic bonds. Our strategy can ensure both mechanical compliance and conductivity at the circuit interfaces and easily produce welding strengths in the kilopascal to megapascal range. The as-designed conductive elastomers in combination with the electric welding technique provide a robust platform for constructing standalone flexible and stretchable electronic devices that are detachable and assemblable on demand.

Norcantharidin Enhances the Antitumor Effect of 5-Fluorouracil by Inducing Apoptosis of Cervical Cancer Cells: Network Pharmacology, Molecular Docking, and Experimental Validation.

The high recurrence rate of cervical cancer is a leading cause of cancer deaths in women. 5-Fluorouracil (5-FU) is an antitumor drug used to treat many types of cancer, but its diminishing effectiveness and side effects limit its use. Norcantharidin (NCTD), a demethylated derivative of cantharidin, exhibits various biological activities. Here, we investigated whether NCTD could potentiate 5-FU to induce cervical cancer cell death. To assess the cell viability and synergistic effects of the drugs, cell counting kit-8 and colony formation assays were performed using HR-HPV-positive cervical cancer cell lines. Annexin V-FITC/PI staining and TUNEL assays were performed to confirm the induction of apoptosis. The synergistic effect of NCTD on the antitumor activity of 5-FU was analyzed using network pharmacology, molecular docking, and molecular dynamics simulations. Apoptosis-related proteins were examined using immunoblotting. The combination of NCTD and 5-FU was synergistic in cervical cancer cell lines. Network pharmacological analysis identified 10 common targets of NCTD and 5-FU for cervical cancer treatment. Molecular docking showed the strong binding affinity of both compounds with CA12, CASP9, and PTGS1. Molecular dynamics simulations showed that the complex system of both drugs with caspase-9 could be in a stable state. NCTD enhanced 5-FU-mediated cytotoxicity by activating apoptosis-related proteins. NCTD acts synergistically with 5-FU to inhibit cervical cancer cell proliferation. NCTD enhances 5-FU-induced apoptosis in cervical cancer cell lines via the caspase-dependent pathway.

Indian Ocean temperature anomalies predict long-term global dengue trends.

Despite identifying El Niño events as a factor in dengue dynamics, predicting the oscillation of global dengue epidemics remains challenging. Here, we investigate climate indicators and worldwide dengue incidence from 1990 to 2019 using climate-driven mechanistic models. We identify a distinct indicator, the Indian Ocean basin-wide (IOBW) index, as representing the regional average of sea surface temperature anomalies in the tropical Indian Ocean. IOBW is closely associated with dengue epidemics for both the Northern and Southern hemispheres. The ability of IOBW to predict dengue incidence likely arises as a result of its effect on local temperature anomalies through teleconnections. These findings indicate that the IOBW index can potentially enhance the lead time for dengue forecasts, leading to better-planned and more impactful outbreak responses.

A Molecular Coordination Strategy for Regulating the Interface of MoS2 Field Effect Transistors.

Chemically modifying monolayer two-dimensional transition metal dichalcogenides (TMDs) with organic molecules provides a wide range of possibilities to regulate the electronic and optoelectronic performance of both materials and devices. However, it remains challenging to chemically attach organic molecules to monolayer TMDs without damaging their crystal structures. Herein, we show that the Mo atoms of monolayer MoS2 (1L-MoS2) in defect states can coordinate with both catechol and 1,10-phenanthroline (Phen) groups, affording a facile route to chemically modifying 1L-MoS2. Through the design of two isomeric molecules (LA2 and LA5) comprising catechol and Phen groups, we show that attaching organic molecules to Mo atoms via coordinative bonds has no negative effect on the crystal structure of 1L-MoS2. Both theoretical calculation and experiment results indicate that the coordinative strategy is beneficial for (i) repairing sulfur vacancies and passivating defects; (ii) achieving a long-term and stable n-doping effect; and (iii) facilitating the electron transfer. Field effect transistors (FETs) based on the coordinatively modified 1L-MoS2 show high electron mobilities up to 120.3 cm2 V-1 s-1 with impressive current on/off ratios over 109. Our results indicate that coordinatively attaching catechol- or Phen-bearing molecules may be a general method for the nondestructive modification of TMDs.

Incidence of Frontal Sinus Fractures: A Single-Institution 12-year Experience.

Frontal sinus fractures' reported incidence has varied widely in the United States. Although the past couple of decades have demonstrated an overall decrease among patients with facial fractures, the overall incidence of frontal sinus fractures remains unclear. We report our experience at a level 1 trauma center in the northeast region of the United States and analyze patients who have presented to our Emergency Department with facial fractures in a 12-year period, from 2011 to 2022. Our data show that 1.5% of all facial fracture patients had a frontal sinus fracture. Of those patients, 50% were victims of assault, 25% were involved in a motor vehicle accident, 12.5% were involved in a bicycle accident, and 12.5% were involved in a pedestrian struck by a vehicle. Overall, our data corroborate the decreasing national trend in frontal sinus fracture incidence and set the stage for further studies looking at the contributing factors for the observed decline.

Adipocyte-Specific Hnrnpa1 Knockout Aggravates Obesity-Induced Metabolic Dysfunction via Upregulation of CCL2.

Heterogeneous nuclear ribonucleoprotein A1 (HNRNPA1) is involved in lipid and glucose metabolism via mRNA processing. However, whether and how HNRNPA1 alters adipocyte function in obesity remain obscure. Here, we found that the obese state downregulated HNRNPA1 expression in white adipose tissue (WAT). The depletion of adipocyte HNRNPA1 promoted markedly increased macrophage infiltration and expression of proinflammatory and fibrosis genes in WAT of obese mice, eventually leading to exacerbated insulin sensitivity, glucose tolerance, and hepatic steatosis. Mechanistically, HNRNPA1 interacted with Ccl2 and regulated its mRNA stability. Intraperitoneal injection of CCL2-CCR2 signaling antagonist improved adipose tissue inflammation and systemic glucose homeostasis. Furthermore, HNRNPA1 expression in human WAT was negatively correlated with BMI, fat percentage, and subcutaneous fat area. Among individuals with 1-year metabolic surgery follow-up, HNRNPA1 expression was positively related to percentage of total weight loss. These findings identify adipocyte HNRNPA1 as a link between adipose tissue inflammation and systemic metabolic homeostasis, which might be a promising therapeutic target for obesity-related disorders.

Associations of Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio with Trunk Fat Mass and Visceral Fat Accumulation.

Background: It has been reported recently that the ratio of uric acid to high-density lipoprotein cholesterol (UHR) is correlated with several metabolic disorders. The present study aimed to investigate the associations of UHR with body fat content and distribution. Methods: This study enrolled 300 participants (58 men and 242 women) aged 18 to 65 years. The levels of serum uric acid and high-density lipoprotein cholesterol were measured by standard enzymatic methods. The overall fat content and segmental fat distribution were assessed with an automatic bioelectrical impedance analyzer. In the population with obesity, the visceral fat area (VFA) and subcutaneous fat area (SFA) were measured using magnetic resonance imaging. Results: Among the study population, 219 individuals (73.0%) were with obesity. The median level of UHR in individuals with obesity was 33.7% (26.2% - 45.9%), which was significantly higher than that in those without obesity [22.6% (17.0% - 34.4%), P < 0.01]. UHR was positively associated with overall fat content and segmental fat distribution parameters (all P < 0.01). In multivariate linear regression analysis, compared with body mass index, waist circumference was more closely associated with UHR (standardized ß = 0.427, P < 0.001) after adjusting for confounding factors. Additionally, total fat mass (standardized ß = 0.225, P = 0.002) and trunk fat mass (standardized ß = 0.296, P = 0.036) were more closely linked to UHR than total fat-free mass and leg fat mass, respectively. In the population with obesity, VFA was independently correlated with UHR (P < 0.01), while SFA was not associated with UHR. Conclusion: UHR was significantly associated with overall fat content and trunk fat accumulation. In the population with obesity, UHR was positively associated with VFA. Attention should be paid to the role of excessive trunk fat mass in the relationship between UHR and metabolic disorders.

Protein MRI Contrast Agents as an Effective Approach for Precision Molecular Imaging.

ABSTRACT: Cancer and other acute and chronic diseases are results of perturbations of common molecular determinants in key biological and signaling processes. Imaging is critical for characterizing dynamic changes in tumors and metastases, the tumor microenvironment, tumor-stroma interactions, and drug targets, at multiscale levels. Magnetic resonance imaging (MRI) has emerged to be a primary imaging modality for both clinical and preclinical applications due to its advantages over other modalities, including sensitivity to soft tissues, nondepth limitations, and the use of nonionizing radiation. However, extending the application of MRI to achieve both qualitative and quantitative precise molecular imaging with the capability to quantify molecular biomarkers for early detection, staging, and monitoring therapeutic treatment requires the capacity to overcome several major challenges including the trade-off between metal-binding affinity and relaxivity, which is an issue frequently associated with small chelator contrast agents. In this review, we will introduce the criteria of ideal contrast agents for precision molecular imaging and discuss the relaxivity of current contrast agents with defined first shell coordination water molecules. We will then report our advances in creating a new class of protein-targeted MRI contrast agents (ProCAs) with contributions to relaxivity largely derived from the secondary sphere and correlation time. We will summarize our rationale, design strategy, and approaches to the development and optimization of our pioneering ProCAs with desired high relaxivity, metal stability, and molecular biomarker-targeting capability, for precision MRI. From first generation (ProCA1) to third generation (ProCA32), we have achieved dual high r1 and r2 values that are 6- to 10-fold higher than clinically approved contrast agents at magnetic fields of 1.5 T, and their relaxivity values at high field are also significantly higher, which enables high resolution during small animal imaging. Further engineering of multiple targeting moieties enables ProCA32 agents that have strong biomarker-binding affinity and specificity for an array of key molecular biomarkers associated with various chronic diseases, while maintaining relaxation and exceptional metal-binding and selectivity, serum stability, and resistance to transmetallation, which are critical in mitigating risks associated with metal toxicity. Our leading product ProCA32.collagen has enabled the first early detection of liver metastasis from multiple cancers at early stages by mapping the tumor environment and early stage of fibrosis from liver and lung in vivo, with strong translational potential to extend to precision MRI for preclinical and clinical applications for precision diagnosis and treatment.

Neck circumference as a potential indicator of pre-sarcopenic obesity in a cohort of community-based individuals.

BACKGROUND & AIMS: ESPEN/EASO advocates screening for sarcopenic obesity based on the concomitant presence of an elevated body mass index (BMI) or waist circumference. Neck circumference (NC) is another simple and reliable anthropometric measurement for estimating obesity; however, its ability to detect sarcopenic obesity has not yet been established. The aim of the present study was to explore the association between NC and sarcopenic obesity in a Shanghai community population. METHODS: The study included 1542 participants (622 men and 920 women) with a mean age of 58 years who underwent an examination for the detection of obesity at baseline in 2013-2014 and received a re-examination in 2015-2016. An automatic bioelectric impedance analyzer was used to estimate body composition, and magnetic resonance imaging was used to measure abdominal fat distribution. The definition of pre-sarcopenic obesity combined low skeletal muscle mass adjusted by weight (SMM/W) with obesity which defined according to overall adiposity or fat distribution as BMI ≥25 kg/m2, fat percentage (fat%) ≥ 25% in men and 30% in women, or visceral fat area (VFA) ≥ 80 cm2, respectively. RESULTS: In both men and women, subjects with low SMM/W had a higher level of NC than those without (both P < 0.01). In turn, participants with elevated NC had a higher proportion of pre-sarcopenic obesity in both men and women, regardless of adiposity status assessed by BMI, fat%, or VFA (all P < 0.01). During an average follow up of 2.1 years, for each 1 cm increase in NC, multivariable-adjusted hazard ratios of pre-sarcopenic obesity in which adiposity status assessed by high BMI were 1.40 (1.11-1.76) in men and 1.32 (1.13-1.56) in women; in addition, such association remained between NC and pre-sarcopenic obesity assessed by high fat% or high VFA. CONCLUSION: NC is closely associated with the incidence of sarcopenic obesity, suggesting that it could be helpful for screening sarcopenic obesity in a community-based population.

Detection of organic dyes using Ag NPAs/SMP SERS substrate produced via sandpaper template-assisted lithography and liquid-liquid interface self-assembly.

Surface-enhanced Raman spectroscopy (SERS) is a highly sensitive and reliable fingerprinting technique. However, its analytical capability is closely related to the quality of a SERS substrate used for the analysis. In particular, conventional colloidal substrates possess disadvantages in terms of controllability, stability, and reproducibility, which limit their application. In order to address these issues, a simple, cost-effective, and efficient SERS substrate based on silver nanoparticle arrays (Ag NPAs) and sandpaper-molded polydimethylsiloxane (SMP) was proposed in this work. Successfully prepared via template lithography and liquid-liquid interface self-assembly (LLISA), the substrate can be applied to the specific detection of organic dyes in the environment. The substrate exhibited good SERS performance, and the limit of detection (LOD) of rhodamine 6G (R6G) was shown to be 10-7 M under the optimal conditions (1000 grit sandpaper) with a relative standard deviation (RSD) of 7.76%. Moreover, the SERS signal intensity was maintained at 60% of the initial intensity after the substrate was stored for 30 days. In addition, the Ag NPAs/SMP SERS substrate was also employed to detect crystal violet (CV) and methylene blue (MB) with the LODs of 10-6 M and 10-7 M, respectively. In summary, the Ag NPAs/SMP SERS substrate prepared in this study has great potential for the detection of organic dyes in ecological environments.

Blocking Metal Nanocluster Growth through Ligand Coordination and Subsequent Polymerization: The Case of Ruthenium Nanoclusters as Robust Hydrogen Evolution Electrocatalysts.

Metal nanoclusters providing maximized atomic surface exposure offer outstanding hydrogen evolution activities but their stability is compromised as they are prone to grow and agglomerate. Herein, a possibility of blocking metal ion diffusion at the core of cluster growth and aggregation to produce highly active Ru nanoclusters supported on an N, S co-doped carbon matrix (Ru/NSC) is demonstrated. To stabilize the nanocluster dispersion, Ru species are initially coordinated through multiple Ru─N bonds with N-rich 4'-(4-aminophenyl)-2,2:6',2''-terpyridine (TPY-NH2) ligands that are subsequently polymerized using a Schiff base. After the pyrolysis of the hybrid composite, highly dispersed ultrafine Ru nanoclusters with an average size of 1.55 nm are obtained. The optimized Ru/NSC displays minimal overpotentials and high turnover frequencies, as well as robust durability both in alkaline and acidic electrolytes. Besides, outstanding mass activities of 3.85 A mg-1 Ru at 50 mV, i.e., 16 fold higher than 20 wt.% Pt/C are reached. Density functional theory calculations rationalize the outstanding performance by revealing that the low d-band center of Ru/NSC allows the desorption of *H intermediates, thereby enhancing the alkaline HER activity. Overall, this work provides a feasible approach to engineering cost-effective and robust electrocatalysts based on carbon-supported transition metal nanoclusters for future energy technologies.

Carboxymethylcellulose hydrogels with stable carbon quantum dots: Enabling dynamic fluorescence modulation, automatic erasure, and secure information encryption.

Inspired by "disappear after reading", a time-modulated encryption hydrogel was synthesized by carboxymethyl cellulose with carbon quantum dots. Carboxymethyl cellulose in this system stabilized carbon quantum dots, which ensured the whole hydrogel worked well. The encryption/decryption of information depended on pH adjustment, application of EDTA and Cr (VI). Furthermore, an in-depth analysis of the fluorescence change mechanism uncovered that fluorescence quenching was potentially influenced by internal filtering effects and static quenching, which involved the amino, carboxyl, and hydroxyl groups present within the hydrogel.

A tea bud segmentation, detection and picking point localization based on the MDY7-3PTB model.

Introduction: The identification and localization of tea picking points is a prerequisite for achieving automatic picking of famous tea. However, due to the similarity in color between tea buds and young leaves and old leaves, it is difficult for the human eye to accurately identify them. Methods: To address the problem of segmentation, detection, and localization of tea picking points in the complex environment of mechanical picking of famous tea, this paper proposes a new model called the MDY7-3PTB model, which combines the high-precision segmentation capability of DeepLabv3+ and the rapid detection capability of YOLOv7. This model achieves the process of segmentation first, followed by detection and finally localization of tea buds, resulting in accurate identification of the tea bud picking point. This model replaced the DeepLabv3+ feature extraction network with the more lightweight MobileNetV2 network to improve the model computation speed. In addition, multiple attention mechanisms (CBAM) were fused into the feature extraction and ASPP modules to further optimize model performance. Moreover, to address the problem of class imbalance in the dataset, the Focal Loss function was used to correct data imbalance and improve segmentation, detection, and positioning accuracy. Results and discussion: The MDY7-3PTB model achieved a mean intersection over union (mIoU) of 86.61%, a mean pixel accuracy (mPA) of 93.01%, and a mean recall (mRecall) of 91.78% on the tea bud segmentation dataset, which performed better than usual segmentation models such as PSPNet, Unet, and DeeplabV3+. In terms of tea bud picking point recognition and positioning, the model achieved a mean average precision (mAP) of 93.52%, a weighted average of precision and recall (F1 score) of 93.17%, a precision of 97.27%, and a recall of 89.41%. This model showed significant improvements in all aspects compared to existing mainstream YOLO series detection models, with strong versatility and robustness. This method eliminates the influence of the background and directly detects the tea bud picking points with almost no missed detections, providing accurate two-dimensional coordinates for the tea bud picking points, with a positioning precision of 96.41%. This provides a strong theoretical basis for future tea bud picking.

Interaction between serum neutrophil gelatinase associated lipocalin and visceral fat area on cardiovascular health in a cohort of community-based individuals.

BACKGROUND: We assessed the predictive values of neutrophil gelatinase-associated lipocalin (NGAL), fat distribution, and their interaction on the development of major adverse cardiovascular events (MACE) in a community-based cohort of middle-aged and older individuals. METHODS: This prospective study involved 1349 adults (43.2% men) aged 50-80 y, without baseline cardiovascular diseases, from communities in 2013-2014. All participants were followed up for a mean of 7.6 y via phone calls and medical records. Serum NGAL concentrations were analyzed at baseline. Fat distribution, including subcutaneous fat area and visceral fat area (VFA), was assessed by magnetic resonance imaging. RESULTS: In fully-adjusted Cox regression models, baseline high NGAL concentrations were related to an increased risk of MACE in women [HR 1.75, 95% CI 1.03-2.99], compared with low NGAL concentrations. After stratification by VFA concentrations, the observed association was more predominant in women with baseline low VFA (HR 1.24, 95% CI 1.11-1.38). Moreover, the association between NGAL and MACE was interacted by VFA, strengthening the association at low VFA concentrations (Pinteraction < 0.05). CONCLUSIONS: Serum NGAL determined at baseline predicts the development of MACE, and the association is modified by VFA in women.