Recovering chromium from electroplating sludge using an integrated technology of bipolar membrane electrodialysis and H2O2 oxidation.

Chromium electroplating produces Cr(III)-containing electroplating sludge (EPS) in large volumes, which is easily oxidised to Cr(Ⅵ) and is harmful to the environment and human health. This study recovered Cr(III) as Na2CrO4 from EPS using an integrated bipolar membrane electrodialysis (BMED)-H2O2 oxidation technology. During the treatment process, Cr(III) was oxidised to Cr(VI) using H2O2 in an alkaline environment, BMED was used to separate and recover Cr(VI). Experimental results showed that H2O2 dosage and pH affected Cr(III) oxidation-the highest Cr(III) oxidation ratio of 68.4% was observed when H2O2 dosage and pH were 5.5 mL and 12.0, respectively. The current density, solid/liquid ratio and sludge particle size affected Cr(III) recovery, energy consumption and current efficiency. Under a current density of 20.0 mA/cm2, solid/liquid ratio of 1.0:45 and sludge particle size of 100 mesh, 58.2% of Cr(III) was recovered. When the number of the equipped EPS compartments was increased from one to two and three, the specific energy consumption decreased from 1.04 to 0.87 and 0.81 kW·h/g, respectively, but the current efficiency remained almost constant. After EPS treatment, the Cr(III) remaining in the sludge was mainly in the residual state, which is less environmentally harmful. The obtained Na2CrO4 had similar properties according to X-ray diffraction analysis. Thus, the proposed integrated technology effectively recovers Cr(III) from EPS and other chromium-containing solid wastes.

Camel FGF21 Protein Enhances FGF21 Signaling and its Targeted Compounds Screening.

INTRODUCTION: The hormone Fibroblast Growth Factor 21 (FGF21), as a novel glucose and lipid metabolism regulator, has become a promising therapeutic target for metabolic disorders. Camel, the characteristic species adapted to arid and semi-arid desert climates, has shown exceptional ability for the regulation of lipid reserve and utilization. METHODS: This study found camel FGF21 to have a stronger regulatory effect for downstream signaling compared to human and mouse through sequence analysis and FGF21 signal downstream markers detection. FGF21 protein has been found to have one potential drug-binding pocket, which has been predicted using the CavityPlus online platform. Four small compounds, resorcinol monoacetate, tropisetron, nylidrin, and stiripentol, targeting FGF21 protein have been screened by molecular docking using the UCSF DOCK6 program. RESULTS: The inhibitory concentration 50% (IC50) values of the four small compounds have been determined by MTT assay and the values have been simulated by the software GraphPad Prism. The biological effect testing has indicated the four compounds to be involved in the regulation of the FGF21 signaling pathway and serve as agonists for FGF21 signaling transduction. While the blocking experiment of compound and protein cotreatment has indicated the four small compounds to not inhibit FGF21-induced pathway activation. Even, resorcinol monoacetate and stiripentol have shown to synergistically activate downstream signaling pathways with the FGF21 protein. CONCLUSION: This study has provided new ideas for developing therapeutic strategies based on FGF21 protein modification and exploring novel disease treatment strategies based on the compounds-protein combination.

Associations of serum Dickkopf-1 levels with disease severity and 90-day Prognosis after spontaneous intracerebral hemorrhage: results from the prospective cohort study.

Dickkopf-1 (DKK-1) may be involved in inflammatory response and secondary brain injury after acute brain injury. We gauged serum DKK-1 levels and further assessed its correlation with disease severity and investigated its predictive value for 90-day prognosis in patients with spontaneous intracerebral hemorrhage (sICH). Serum DKK-1 levels were measured in 128 sICH patients and 128 healthy controls. The severity of sICH was assessed using the Glasgow Coma Scale (GCS) scores and hematoma volumes. Poor prognosis was referred to as a Glasgow Outcome Scale (GOS) score of 1-3 at 90 days after stroke. Multivariate analysis was performed to identify associations of serum DKK-1 levels with disease severity, early neurological deterioration (END) and poor prognosis. Receiver operating characteristic curve (ROC) was built to investigate the prognostic predictive capability. The serum DKK-1 levels of patients were significantly higher than those of controls (median, 4.74 ng/mL versus 1.98 ng/mL; P < 0.001), and were independently correlated with hematoma volumes (ρ = 0.567, P < 0.001; t = 3.444, P = 0.001) and GCS score (ρ = -0.612, P < 0.001; t = -2.048, P = 0.043). Serum DKK-1 significantly differentiated patients at risk of END (area under ROC curve (AUC), 0.850; 95% confidence interval (CI), 0.777-0.907; P < 0.001) and poor prognosis (AUC, 0.830; 95% CI, 0.753-0.890; P < 0.001), which had similar prognostic ability, as compared to GCS scores and hematoma volumes. Subsequent Logistic regression model affirmed that GCS score, hematoma volume, and serum DKK-1 levels were independently associated with END and poor prognosis at 90 days after sICH. The models, which contained them, performed well using ROC curve analysis and calibration curve analysis. Serum DKK-1 levels are markedly associated with disease severity, END and 90-day poor prognosis in sICH. Hence, serum DKK-1 is presumed to be used as a potential prognostic biomarker of sICH.

The value of abPG-SGA in the nutritional risk screening of patients with malignant tumors.

Nutritional risk screening 2002 (NRS2002) is a commonly used tool for screening the risk of malnutrition in hospitalized patients, while patient-generated subjective global assessment (PG-SGA) is a nutritional assessment tool for malignant tumor patients. However, there are still gaps in the rapid nutritional risk screening methods for cancer patients. We aimed to evaluate the value of abridged scored patient-generated subjective global assessment (abPG-SGA) for nutritional risk screening and prognosis in cancer patients. The NRS 2002 and abPG-SGA scores of 100 malignant tumor patients hospitalized in our department in December 2020 were collected. Take NRS2002 ≥ 3 as the positive standard (risk of malnutrition). Data were analyzed using Kappa test, ROC curves, cut-off values and Kaplan-Meier. In the screening of 100 patients, 25.0% of patients were at risk of malnutrition (NRS2002), abPG-SGA yielded a sensitivity and specificity of 92.0% and 72.0%, respectively (area under curve [AUC] = 0.884, cut-off value ≥ 4.5); In the screening of patients with digestive system malignancies, 22.6% of patients were at risk of malnutrition (NRS2002), and the sensitivity and specificity of abPG-SGA were 91.67% and 87.80%, respectively (AUC = 0.945, cut-off value ≥ 5.5). The results of survival analysis showed that the overall survival (OS) of patients with abPG-SGA ≥ 5 and < 5, NRS2002 ≥ 3 and abPG-SGA < 5, NRS2002 < 3 and abPG-SGA ≥ 5 were significantly different (P < .0001), the OS of patients with NRS2002 ≥ 3 and abPG-SGA ≥ 5, NRS2002 < 3 and abPG-SGA < 5 were not significantly different (P > .05). Like NRS2002, abPG-SGA can also be used for malnutrition screening and prognosis judgment in cancer patients. It can quickly screen out cancer patients who may be at risk of malnutrition and facilitate the development of nutritional assessments.

Management strategies and outcomes in pregnancy-related acute aortic dissection: a multicentre cohort study in China.

BACKGROUND: Acute aortic dissection (AD) in pregnancy poses a lethal risk to both mother and fetus. However, well-established therapeutic guidelines are lacking. This study aimed to investigate clinical features, outcomes and optimal management strategies for pregnancy-related AD. METHODS: We conducted a retrospective multicentre cohort study including 67 women with acute AD during pregnancy or within 12 weeks postpartum from three major cardiovascular centres in China between 2003 and 2021. Patient characteristics, management strategies and short-term outcomes were analysed. RESULTS: Median age was 31 years, with AD onset at median 32 weeks gestation. Forty-six patients (68.7%) had type A AD, of which 41 underwent immediate surgery. Overall maternal mortality was 10.4% (7/67) and fetal mortality was 26.9% (18/67). Compared with immediate surgery, selective surgery was associated with higher risk of composite maternal and fetal death (adjusted RR: 12.47 (95% CI 3.26 to 47.73); p=0.0002) and fetal death (adjusted RR: 8.77 (95% CI 2.33 to 33.09); p=0.001). CONCLUSIONS: Immediate aortic surgery should be considered for type A AD at any stage of pregnancy or postpartum. For pregnant women with AD before fetal viability, surgical treatment with the fetus in utero should be considered. Management strategies should account for dissection type, gestational age, and fetal viability. TRIAL REGISTRATION NUMBER: NCT05501145.

Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection.

Weakly supervised video anomaly detection aims to locate abnormal activities in untrimmed videos without the need for frame-level supervision. Prior work has utilized graph convolution networks or self-attention mechanisms alongside multiple instance learning (MIL)-based classification loss to model temporal relations and learn discriminative features. However, these approaches are limited in two aspects: 1) Multi-branch parallel architectures, while capturing multi-scale temporal dependencies, inevitably lead to increased parameter and computational costs. 2) The binarized MIL constraint only ensures the interclass separability while neglecting the fine-grained discriminability within anomalous classes. To this end, we introduce a novel WS-VAD framework that focuses on efficient temporal modeling and anomaly innerclass discriminability. We first construct a Temporal Context Aggregation (TCA) module that simultaneously captures local-global dependencies by reusing an attention matrix along with adaptive context fusion. In addition, we propose a Prompt-Enhanced Learning (PEL) module that incorporates semantic priors using knowledge-based prompts to boost the discrimination of visual features while ensuring separability across anomaly subclasses. The proposed components have been validated through extensive experiments, which demonstrate superior performance on three challenging datasets, UCF-Crime, XD-Violence and ShanghaiTech, with fewer parameters and reduced computational effort. Notably, our method can significantly improve the detection accuracy for certain anomaly subclasses and reduced the false alarm rate. Our code is available at: https://github.com/yujiangpu20/PEL4VAD.

The role of phlorizin liposome-embedded oxidized sodium alginate/carboxymethyl chitosan in diabetic wound healing.

Wound healing in diabetic patients is often complicated by issues like inflammation, infection, bleeding, and fluid retention. To tackle these challenges, it is essential to create hydrogel dressings with anti-inflammatory, antibacterial, and antioxidative properties. This study aimed to synthesize Phlorizin-Liposomes (PL) through the thin-film dispersion method and integrate them into an oxidized sodium alginate (OSA) and carboxymethyl chitosan (CMCS) hydrogel scaffold, resulting in an OSA/CMCS/PL (PLOCS) composite hydrogel via a Schiff base reaction. Characterization of the composite was performed using FTIR, TEM, and SEM techniques. The research assessed the swelling behavior, antibacterial effectiveness, and biocompatibility of the PLOCS composite hydrogel, while also investigating how PLOCS facilitates diabetic wound healing. The results demonstrated that PLOCS effectively controls drug release, possesses favorable swelling and degradation characteristics, and shows significant antioxidative properties along with in vitro biocompatibility. Histological analysis confirmed that PLOCS supports the proliferation of healthy epithelial tissue and collagen production. Western blotting indicated that PLOCS diminishes inflammation by inhibiting the TLR4/NF-κB/MyD88 pathway and activates Nrf2 to boost wound healing, increasing the levels of antioxidative enzymes such as HO-1, NQO1, and GCLC. In summary, PLOCS presents a promising new option for advanced wound dressings aimed at treating diabetic ulcers.

A Novel Predictive Model of Detrusor Overactivity Based on Clinical Symptoms and Non-invasive Test Parameters in Female Patients with Lower Urinary Tract Symptoms.

INTRODUCTION AND HYPOTHESIS: This study was aimed at investigating non-invasive indicators correlated with detrusor overactivity (DO) and at developing a prediction model for DO by reviewing clinical and urodynamic data of female patients. METHODS: We retrospectively enrolled 1,084 female patients who underwent a urodynamic study (UDS) at Tongji Hospital between September 2011 and April 2021. Associated factors and the independent prediction factors of DO were demonstrated by univariate and multivariate analysis. A non-invasive prediction model of DO was developed and validated by applying these data. RESULTS: A total of 194 patients (17.9%) were classified as having DO. A logistic regression of a multivariate nature showed that DO risk factors were independent of age, nocturia, urgency, urgency urinary incontinence (UUI), and the lack of stress urinary incontinence (SUI). The DO prediction model had good performance, with an area under the curve of 0.880 (95% CI 0.826-0.933), which was verified by urodynamic data of patients in Tongji Hospital to be 0.818 (95% CI 0.783-0.853). An outstanding correspondence between the anticipated probability and the observed frequency was revealed by the calibration curve. Decision curve analysis demonstrated that clinical net benefit can be obtained by applying the DO prediction model when the DO risk probability was between 8 and 97%. CONCLUSIONS: A non-invasive prediction model of DO was developed and validated using clinical and urodynamic data. Five independent factors associated with DO were identified: age, nocturia, urgency, UUI, and SUI. This prediction model can contribute to assessing the risk of female DO without the need for invasive urodynamic studies.

Combined impact of elevated C-reactive protein levels and dyslipidemia on stroke: a CHNS prospective cohort study.

Background: The objective of this study was to examine whether the combination of elevated levels of C-reactive protein (CRP) and dyslipidemia increased the risk of stroke among middle-aged and older adult individuals in China. Methods: This study utilized longitudinal data from the China Health and Nutrition Survey (CHNS) collected in 2009, 2015, and 2018. A total of 8,023 participants aged ≥40 years (3,595 males and 4,428 females) were included. The Generalized Estimating Equation (GEE) method was employed to examine the association between inflammation, dyslipidemia, their combined effects, and stroke in the Chinese population. Results: A total of 174 stroke events occurred during follow-up. Compared with those with normal CRP levels (CRP ≤ 3 mg/L), the adjusted ORs and 95%CI were 2.13 (1.25, 3.64) for the female with elevated CRP level. Compared with those with non-dyslipidemia, the adjusted ORs and 95%CI were 1.56 (1.03, 2.37) for the individuals with high LDL cholesterol, 1.93 (1.12, 3.33) for the male with high LDL cholesterol. Compared with those with normal CRP levels and non-dyslipidemia, the adjusted ORs and 95%CI were 1.74 (1.08, 2.78) for the individuals with elevated CRP levels and dyslipidemia, 2.41 (1.29, 4.49) for the male with elevated CRP levels and dyslipidemia. People with the coexistence of elevated CRP levels and dyslipidemia had the highest risk of stroke among male. Conclusion: In females, higher levels of inflammation are associated with an increased incidence of stroke. In males, individuals with dyslipidemia characterized by high LDL cholesterol levels are more susceptible to stroke. In the general population, the joint effect of inflammation and dyslipidemia predisposes individuals to a higher risk of stroke, particularly among males.

Crystallin ß-b2 promotes retinal ganglion cell protection in experimental autoimmune uveoretinitis.

Crystallin ßb2 (crybb2) is upregulated in regenerating retinas and in various pathological conditions of the retina, including uveoretinitis. However, the role of crybb2 in this disease is largely unknown. Therefore, we used recombinant crybb2 (rcrybb2) as intravitreal treatment of B10.RIII mice prior to immunization with human interphotoreceptor retinoid-binding protein peptide 161-180 (hIRBPp161-180) in complete Freund's adjuvant (CFA) and concomitant injection of pertussis toxin (PTX) to induce experimental autoimmune uveoretinitis (EAU). In naïve mice, more beta III-tubulin (TUBB3) + and RNA-binding protein with multiple splicing (RBPMS) + cells were found in the ganglion cell layer of the retina than in EAU eyes, suggesting a loss of retinal ganglion cells (RGC) during the development of EAU. At the same time, the number of glial fibrillary acidic protein (GFAP) + cells increased in EAU eyes. RGCs were better protected in EAU eyes treated with rcrybb2, while the number of GFAP+ cells decreased. However, in retinal flatmounts, both retinal ganglion cells and retinal endothelial cells stained positive for TUBB3, indicating that TUBB3 is present in naïve B10.RIII mouse eyes not exclusive to RGCs. A significant decline in the number of RBPMS-positive retinal ganglion cells was observed in retinal flatmounts from EAU retinas in comparison to naïve retinas or EAU retinas with intravitreal rcrybb2 treatment. Whereas no significant decrease in TUBB3 levels was detected using Western blot and RT-qPCR, GFAP level, as a marker for astrocytes, increased in EAU mice compared to naïve mice. Level of Bax and Bcl2 in the retina was altered by treatment, suggesting better cell survival and inhibition of apoptosis. Furthermore, our histologic observations of the eyes showed no change in the incidence and severity of EAU, nor was the immune response affected by intravitreal rcrybb2 treatment. Taken together, these results suggest that intravitreal injection of rcrybb2 reduces retinal RGC death during the course of EAU, independent of local or systemic autoimmune responses. In the future, treating posterior uveitis with rcrybb2 to protect RGCs may offer a promising novel therapeutic strategy.

A Novel Modified ZIF-8 Nanoparticle with Enhanced Interfacial Compatibility and Pervaporation Performance in a Mixed Matrix Membrane for De-Alcoholization in Low-Concentration Solutions.

This study investigated the enhancement in bioethanol recovery from mixed matrix membranes (MMMs) by functionalizing zeolite framework-8 (ZIF-8) with imidazolate. This study focused on the separation of ethanol from low-concentration ethanol/water mixtures (typical post-fermentation concentrations of 5-10 wt%). Specifically, ZIF-8 was modified by the shell-ligand exchange reaction (SLER) with 5,6-dimethylbenzimidazole (DMBIM), resulting in ZIF-8-DMBIM particles with improved hydrophobicity, organophilicity, larger size, and adjustable pore size. These particles were incorporated into a PEBAX 2533 matrix to produce ZIF-8-DMBIM/PEBAX MMMs using a dilution blending method. The resulting membranes showed significant performance enhancement: 8 wt% ZIF-8-DMBIM loading achieved a total flux of 308 g/m2·h and a separation factor of 16.03, which was a 36.8% increase in flux and 176.4% increase in separation factor compared with the original PEBAX membrane. In addition, performance remained stable during a 130 h cycling test. These improvements are attributed to the enhanced compatibility and dispersion of ZIF-8-DMBIM in the PEBAX matrix. In conclusion, the evaluation of nanofiller content, feed concentration, operating temperature, and membrane stability confirmed that ZIF-8-DMBIM/PEBAX MMM is ideal for ethanol recovery in primary bioethanol concentration processes.

Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors.

Due to the excellent mechanical, chemical, and electrical properties of third-generation semiconductor silicon carbide (SiC), pressure sensors utilizing this material might be able to operate in extreme environments with temperatures exceeding 300 °C. However, the significant output drift at elevated temperatures challenges the precision and stability of measurements. Real-time in situ temperature monitoring of the pressure sensor chip is highly important for the accurate compensation of the pressure sensor. In this study, we fabricate platinum (Pt) thin-film resistance temperature detectors (RTDs) on a SiC substrate by incorporating aluminum oxide (Al2O3) as the transition layer and utilizing aluminum nitride (AlN) grooves for alignment through microfabrication techniques. The composite layers strongly adhere to the substrate at temperatures reaching 950 °C, and the interface of the Al2O3/Pt bilayer remains stable at elevated temperatures of approximately 950 °C. This stability contributes to the excellent high-temperature electrical performance of the Pt RTD, enabling it to endure temperatures exceeding 850 °C with good linearity. These characteristics establish a basis for the future integration of Pt RTD in SiC pressure sensors. Furthermore, tests and analyses are conducted on the interfacial diffusion, surface morphological, microstructural, and electrical properties of the Pt films at various annealing temperatures. It can be inferred that the tensile stress and self-diffusion of Pt films lead to the formation of hillocks, ultimately reducing the electrical performance of the Pt thin-film RTD. To increase the upper temperature threshold, steps should be taken to prevent the agglomeration of Pt films.

CRISPR-Cas9 gene editing strengthens cuproptosis/chemodynamic/ferroptosis synergistic cancer therapy.

Copper-based nanomaterials demonstrate promising potential in cancer therapy. Cu+ efficiently triggers a Fenton-like reaction and further consumes the high level of glutathione, initiating chemical dynamic therapy (CDT) and ferroptosis. Cuproptosis, a newly identified cell death modality that represents a great prospect in cancer therapy, is activated. However, active homeostatic systems rigorously keep copper levels within cells exceptionally low, which hinders the application of cooper nanomaterials-based therapy. Herein, a novel strategy of CRISPR-Cas9 RNP nanocarrier to deliver cuprous ions and suppress the expression of copper transporter protein ATP7A for maintaining a high level of copper in cytoplasmic fluid is developed. The Cu2O and organosilica shell would degrade under the high level of glutathione and weak acidic environment, further releasing RNP and Cu+. The liberated Cu+ triggered a Fenton-like reaction for CDT and partially transformed to Cu2+, consuming intracellular GSH and initiating cuproptosis and ferroptosis efficiently. Meanwhile, the release of RNP effectively reduced the expression of copper transporter ATP7A, subsequently increasing the accumulation of cooper and enhancing the efficacy of CDT, cuproptosis, and ferroptosis. Such tumor microenvironment responsive multimodal nanoplatform opens an ingenious avenue for colorectal cancer therapy based on gene editing enhanced synergistic cuproptosis/CDT/ferroptosis.

Precision-engineered metal-organic frameworks: fine-tuning reverse topological structure prediction and design.

Digital discoveries of metal-organic frameworks (MOFs) have been significantly advanced by the reverse topological approach (RTA). The node-and-linker assembly strategy allows predictable reticulations predefined by in silico coordination templates; however, reticular equivalents lead to substantial combinatorial explosion due to the infinite design space of building units (BUs). Here, we develop a fine-tuned RTA for the structure prediction of MOFs by integrating precise topological constraints and leveraging reticular chemistry, thus transcending traditional exhaustive trial-and-error assembly. From an extensive array of chemically realistic BUs, we subsequently design a database of 94 823 precision-engineered MOFs (PE-MOFs) and further optimize their structures. The PE-MOFs are assessed for post-combustion CO2 capture in the presence of H2O and top-performing candidates are identified by integrating three stability criteria (activation, water and thermal stabilities). This study highlights the potential of synergizing PE with the RTA to enhance efficiency and precision for computational design of MOFs and beyond.

B/Pd Synergistic Catalysis for the Decarboxylative Allylation of 2-(2-Azaaryl)acetic Acids.

We describe an allylation reaction between 2-(2-azaaryl)acetic acids and allylic electrophiles catalyzed synergistically by a dual system consisting of borinic acid and a Pd complex under mild conditions. The decarboxylative allylation proceeds via a boron-bound enamine intermediate, which then interacts with a π-allylpalladium intermediate from the allylic electrophile. High yields of diallylation products highlight the method's efficiency. Intriguingly, when using 2-(2-pyridyl)acetic acid with a C3 substituent on the pyridyl ring, the reaction exclusively yields monoallylation products.

[Changes in the disease burden of male urinary and reproductive system tumors in China from 1990 to 2019: Analysis with a prediction of the future trend].

OBJECTIVE: To analyze the changes in the disease burden of prostate, testis, kidney and bladder cancers among urinary and reproductive system tumors in Chinese men from 1990 to 2019 with a prediction of the future trend. METHODS: We retrieved the data on the incidence, mortality and disease burden of prostate, testis, kidney and bladder cancers in Chinese men between 1990 and 2019 from the database of Global Burden of Disease Study 2019. Using the Joinpoint regression model, we analyzed the trend of changes in the disease burden, and predicted the prevalence of the tumors with the ARIMA model. RESULTS: From 1990 to 2019, the standardized incidence and prevalence of prostate, testis, kidney and bladder cancers were on the rise in Chinese men, and those of testis cancer increased most significantly, by 326.79% and 1070.93% respectively. The disease burden of PCa was the highest, with standardized incidence, prevalence and mortality ratios of 17.34/100 000, 117.65/100 000 and 7.79/100 000 respectively in 2019. The standardized mortality and disability-adjusted life years (DALY) of kidney cancer were increased by 103.59% and 103.17% respectively. The highest incidence, mortality and DALY of prostate, kidney and bladder cancers in 2019 were found in 90－94 years old males, the highest prevalence rates of prostate, kidney and bladder cancers in the 70－89-year-olds, and the highest prevalence of testis cancer in the 25－49-year-olds. ARIMA model prediction showed that the standardized incidence rates of prostate, testis, kidney and bladder cancers in Chinese men kept rising from 2020 to 2029. CONCLUSION: The disease burden of prostate, testis, kidney and bladder cancers in Chinese men is on the rise, and their standardized incidence rates will be even higher by 2029, with a significant increase in the disease burden in young men, which suggests the need of more attention to the prevention and treatment of genitourinary system tumors in young males.

Dirhodium(II)/ XantPhos Catalyzed Synthesis of ß-(E)-Vinylsilanes via Hydrosilylation and Isomerization from Alkynes.

A concise hydrosilylation of alkynes for synthesizing ß-(E)-vinylsilanes catalyzed by dirhodium(II)/XantPhos has been developed. In this reaction, ß-(E)-vinylsilanes were generated from the isomerization of ß-(Z)-vinylsilanes catalyzed by dirhodium(II) hydride species rather than the direct insertion of triple bond into M-H or M-Si bond (traditional Chalk-Harrod mechanism or modified Chalk-Harrod mechanism). The hydrosilylation displayed a broad substrate scope for alkynes and tertiary silanes, tolerating diverse functional groups including halides, nitrile, amines, esters, and heterocycles.

Unraveling phenotypic heterogeneity in stanford type B aortic dissection patients through machine learning clustering analysis of cardiovascular CT imaging.

OBJECTIVE: Aortic dissection remains a life-threatening condition necessitating accurate diagnosis and timely intervention. This study aimed to investigate phenotypic heterogeneity in patients with Stanford type B aortic dissection (TBAD) through machine learning clustering analysis of cardiovascular computed tomography (CT) imaging. METHODS: Electronic medical records were collected to extract demographic and clinical features of patients with TBAD. Exclusion criteria ensured homogeneity and clinical relevance of the TBAD cohort. Controls were selected on the basis of age, comorbidity status, and imaging availability. Aortic morphological parameters were extracted from CT angiography and subjected to K-means clustering analysis to identify distinct phenotypes. RESULTS: Clustering analysis revealed three phenotypes of patients with TBAD with significant correlations with population characteristics and dissection rates. This pioneering study used CT-based three-dimensional reconstruction to classify high-risk individuals, demonstrating the potential of machine learning in enhancing diagnostic accuracy and personalized treatment strategies. Recent advancements in machine learning have garnered attention in cardiovascular imaging, particularly in aortic dissection research. These studies leverage various imaging modalities to extract valuable features and information from cardiovascular images, paving the way for more personalized interventions. CONCLUSION: This study provides insights into the phenotypic heterogeneity of patients with TBAD using machine learning clustering analysis of cardiovascular CT imaging. The identified phenotypes exhibit correlations with population characteristics and dissection rates, highlighting the potential of machine learning in risk stratification and personalized management of aortic dissection. Further research in this field holds promise for improving diagnostic accuracy and treatment outcomes in patients with aortic dissection.

The ASB@HNTs-PVA nanofiber membrane, possessing both anti-inflammatory and hemostatic activities, promotes the healing of T2D skin wounds.

The healing of diabetic wounds has long been a significant challenge in the field of medicine. The elevated sugar levels surrounding diabetic wounds create a conducive environment for harmful bacterial growth, resulting in purulent infections that impede the healing process. Thus, the development of a biomaterial that can enhance the healing of diabetic wounds holds great importance. This study developed electrospun dressings for wound healing by combining traditional Chinese medicine and clay. The study utilized electrospinning technology to prepare polyvinyl alcohol (PVA) nanofiber membranes containing ASB and HNTs. These ASB@HNTs-PVA nanofiber membranes demonstrated rapid hemostasis, along with antibacterial and anti-inflammatory properties, facilitating the recovery of type 2 diabetic (T2D) wounds. Various analyses were conducted to assess the performance of the composite nanofiber membrane, including investigations into its biocompatibility and hemostatic abilities through antibacterial experiments, cell experiments, and mouse liver tail bleeding experiments. Western blot analysis confirmed that the composite nanofiber membrane could decrease the levels of inflammatory factors IL-1ß and TNF-α. A type 2 diabetic mouse model was utilized, with wounds artificially induced on the backs of mice. Application of the nanofiber membrane to the wounds further confirmed its anti-inflammatory effects and ability to enhance wound healing in vivo.

Piezoelectric Hinged Beam with Arc Mass Stopper for Vibration and Human Motion Energy Harvesting.

Compact reliable structure and strong electromechanical coupling are hot pursuits in piezoelectric vibration energy harvester (PVEH) design. PVEH with a static arc stopper makes piezoelectric stress uniformly distributed and widens the frequency band by collision but wastes space. This Article proposes a hinged PVEH with two arc mass stoppers (AS-H-PVEH). Two arc stoppers as movable masses increase the vibration energy and the effective electromechanical coupling coefficient to achieve strong electromechanical coupling. AS-H-PVEH generates a 4.1 mW power output at 11.6-12.0 Hz and 0.2 g. AS-H-PVEH sustains 4 g acceleration vibration for 10 min without attenuation. To offset the resonance frequency increase caused by arc contact, we discuss the magnetic coupling, and axial force effects are discussed. The design of the arc stopper radius, nonlinear electromechanical coupling model, and system parameter identification method are presented. The displacement varied mechanical quality factor and effective electromechanical coupling coefficient are considered in the modified model for the first time. The model obtained good agreement under experiments. The power generation and driven wireless sensor performance of AS-H-PVEH was verified. This research has important theoretical and application value for the performance optimization of PVEH with an arc stopper.