Semiconductor Electronic Label-Free Assay for Predictive Toxicology.

While animal experimentations have spearheaded numerous breakthroughs in biomedicine, they also have spawned many logistical concerns in providing toxicity screening for copious new materials. Their prioritization is premised on performing cellular-level screening in vitro. Among the screening assays, secretomic assay with high sensitivity, analytical throughput, and simplicity is of prime importance. Here, we build on the over 3-decade-long progress on transistor biosensing and develop the holistic assay platform and procedure called semiconductor electronic label-free assay (SELFA). We demonstrate that SELFA, which incorporates an amplifying nanowire field-effect transistor biosensor, is able to offer superior sensitivity, similar selectivity, and shorter turnaround time compared to standard enzyme-linked immunosorbent assay (ELISA). We deploy SELFA secretomics to predict the inflammatory potential of eleven engineered nanomaterials in vitro, and validate the results with confocal microscopy in vitro and confirmatory animal experiment in vivo. This work provides a foundation for high-sensitivity label-free assay utility in predictive toxicology

Z-scheme Bi₂O₃/Bi/ZnIn₂S₄ photocatalyst for enhancing the removal performance of Cr(VI), 2,4-dinitrophenol and tetracycline

AbstractConstruction of heterojunctions is conventionally regarded as the prevailing technique to enhance solar-driven photocatalytic water splitting and photodegradation of pollutants. Herein, we report a novel design of a ternary Bi₂O₃/Bi/ZnIn₂S₄ system, which was facilely synthesized to satisfy these stringent criteria for sunlight photocatalytic removal of organic and ionic pollutants and hydrogen evolution. Bi₂O₃/Bi/ZnIn₂S₄ could degrade 2,4-dinitrophenol (94.6%), tetracycline (96.5%), and Cr⁶⁺ (96.3%) effectively under visible light and give a hydrogen production rate of 482.5 μmol·g⁻¹·h⁻¹ under visible light. Based on first-principles calculations and electrochemical results, our system could be identified as a Z-scheme. Photocorrosion of the sulfide is prohibited while the catalytic capabilities are simultaneously benefited due to lowered bandgap in light harvesting, internal electric fields in charge separations, and surface plasmonic resonance enhanced electron boost.Abstract Construction of heterojunctions is conventionally regarded as the prevailing technique to enhance solar-driven photocatalytic water splitting and photodegradation of pollutants. Herein, we report a novel design of a ternary Bi₂O₃/Bi/ZnIn₂S₄ system, which was facilely synthesized to satisfy these stringent criteria for sunlight photocatalytic removal of organic and ionic pollutants and hydrogen evolution. Bi₂O₃/Bi/ZnIn₂S₄ could degrade 2,4-dinitrophenol (94.6%), tetracycline (96.5%), and Cr⁶⁺ (96.3%) effectively under visible light and give a hydrogen production rate of 482.5 μmol·g⁻¹·h⁻¹ under visible light. Based on first-principles calculations and electrochemical results, our system could be identified as a Z-scheme. Photocorrosion of the sulfide is prohibited while the catalytic capabilities are simultaneously benefited due to lowered bandgap in light harvesting, internal electric fields in charge separations, and surface plasmonic resonance enhanced electron boost

An adaptive finite element method based on Superconvergent Cluster Recovery for the Cahn-Hilliard equation

In this study, we construct an error estimate for a fully discrete finite element scheme that satisfies the criteria of unconditional energy stability, as suggested in [1]. Our theoretical findings, in more detail, demonstrate that this system has second-order accuracy in both space and time. Additionally, we offer a powerful space and time adaptable approach for solving the Cahn-Hilliard problem numerically based on the posterior error estimation. The major goal of this technique is to successfully lower the calculated cost by controlling the mesh size using a Superconvergent Cluster Recovery (SCR) approach in accordance with the error estimation. To demonstrate the effectiveness and stability of the suggested SCR-based algorithm, numerical results are provided

Bibliometric analysis and description of research trends on nutritional management in Alzheimer’s disease patients (1988–2024)

BackgroundAlzheimer’s disease (AD) is a severe neurodegenerative disorder. Nutritional management has been recognized as a potential therapeutic approach to mitigate AD progression. This study aimed to analyze the bibliometric characteristics and research trends of publications on nutritional management in AD.MethodsA systematic search was conducted on the Web of Science Core Collection database to identify publications related to nutritional management in AD from 1988 to 2024. Bibliometric analysis was performed using VOSviewers (V 1.6.20), CiteSpace (V 6.3.R1) and R 4.3.3.ResultsA total of 554 publications from 311 countries led by the USA were identified. The number of publications has increased annually. The most cited article discussed the role of diet in providing antioxidants to combat oxidative stress in neurodegenerative diseases. The University of California system published the most articles, and Rush University had the most international collaborations. These publications came from 3,298 authors, among which Mattson MP had the highest total publications and citations. The Journal of Alzheimer’s Disease published the most articles and received the most citations. Keywords analysis revealed evolving trends, with early emphasis on “precursor protein” and later shifts to “dietary restriction,” and more recently, “insulin resistance” and “synaptic plasticity.” Emerging keywords include “obesity,” “cognitive impairment” and “association.”ConclusionThis study represents the first summary of research trends in AD nutritional management. Future research is likely to focus on the associations between nutrition, insulin resistance, synaptic plasticity, and cognitive impairment in AD patients. This information provides valuable insights for scholars and practitioners in the field

The compensation incentive effect of athletes: A structural equation model

This study explores the compensation incentive effect of athletes. Based on the related literature, we proposed theoretical hypotheses on the compensation incentive effect and established an assessment index system of the compensation incentive effect for athletes. A structural equation model was used to test the survey data of 352 athletes in six provinces to discover the truth of the compensation incentive effect. The results suggested that direct economic compensation satisfaction, direct non-economic compensation satisfaction, and indirect non-economic compensation satisfaction had significant positive effects on the compensation incentive effect of athletes, while indirect economic compensation satisfaction showed no significant effect. Moreover, the evaluation results of athletes’ compensation incentive effect showed that direct economic compensation satisfaction contributed the most to the influence factor of the compensation incentive effect. Therefore, the evaluation of athletes’ compensation incentive effect should focus on variables of direct economic compensation satisfaction, i.e., basic compensation satisfaction, bonus income satisfaction, and subsidy satisfaction. Finally, some strategies and recommendations were suggested to improve the compensation design for athletes

Zc(3900) observation at BESIII with QSVM method

In recent years, quantum computing shows significant potentials in many areas. In this proceeding, we revisit the observation of the Zc(3900) resonance with quantum machine learning techniques, specifically quantum support vector machine (QSVM). Meanwhile, the outcomes are compared with classical support vector machine (SVM) method. With the IBM Qiskit toolkit, the QSVM method achieves a competitive signal and background classification accuracy compared to classical methods. This study emphasizes the potential of quantum machine learning in high-energy physics research, and it reveals the feasibility of applying quantum computing in future physics data analysis

Complex I deficiency in m.3243A>G fibroblasts is alleviated by reducing NADH accumulation

Introduction: Mitochondrial disease is a spectrum of debilitating disorders caused by mutations in the mitochondrial DNA (mtDNA) or nuclear DNA that compromises the respiratory chain. Mitochondrial 3243A>G (m.3243 A>G) is the most common mutation showing great heterogeneity in phenotype. Previous studies have indicated that NADH: ubiquinone oxidoreductase (complex I) deficiency accompanied by a decreased nicotinamide adenine dinucleotide (NAD+)/reduced NAD+ (NADH) ratio may play a pivotal role in the pathogenesis of m.3243A>G mutation.Methods: To evaluate the potential effects of strategies targeting the imbalanced NAD+/NADH ratio in m.3243A>G mutation, we treated fibroblasts derived from patients with the m.3243 A>G mutation using nicotinamide riboside (NR) or mitochondria-targeted H2O-forming NADH oxidase (mitoLbNOX).Results: M.3243 A>G fibroblasts showed a significant reduction in complex I core subunit 6, complex I enzymatic activity, complex I-dependent oxygen consumption rate (OCR), and adenosine triphosphate (ATP) production compared to the controls. The NAD+/NADH ratio was also significantly reduced in m.3243 A>G fibroblasts, and, using fluorescence lifetime imaging microscopy, we also found that the NADH level was elevated in m.3243 A>G fibroblasts. After NR treatment, the NAD+/NADH ratio, complex I-dependent OCR, and ATP levels increased, whereas NADH levels remained unchanged. More excitingly, after treatment with mitoLbNOX, the NAD+/NADH ratio, complex I-independent OCR, and ATP levels increased more pronouncedly compared with the NR treatment group, accompanied by significantly reduced NADH levels.Discussion: The present study suggests that compared with repletion of NAD+ alone, the combination of this therapeutic modality with alleviation of NADH overload may amplify the treatment effect of restoring NAD+/NADH balance in m.3243A>G fibroblasts

Effects of Ultrasonic Atomization of Slightly Acidic Electrolyzed Water on the Circulation and Shelf Quality of Postharvest Baby Cabbage

To check the effect of slightly acidic electrolyzed water (SAEW) on the shelf quality of postharvest baby cabbage, the effects of ultrasonic atomization fumigation of SAEW with different concentrations (0, 50, 100 and 150 mg/L) on the postharvest preservation of baby cabbage were analyzed under low temperature circulation (4±1) ℃and shelf conditions (25±1) ℃. The results showed that, compared with the control and other concentrations of SAEW (50 and 150 mg/L), the ultrasonic atomization fumigation treatment of SAEW at 100 mg/L treatment significantly suppressed the increase in malondialdehyde content and the decrease in total glucosinolate content of baby cabbage at the 6th and 9th days of shelf life (P<0.05). Further circulation and shelf simulation results indicated that, compared with the control, the 100 mg/L SAEW ultrasonic atomization fumigation treatment reduced the total number of colonies by 17.04% and increased the total glucosinolate content by 30.11% in baby cabbage; In addition, this treatment significantly inhibited the accumulation of nitrite and malondialdehyde content (P<0.05), delayed the decline of soluble sugar, soluble protein, total phenol, ascorbic acid and isothiocyanate content, and increased the activity of myrosinase in postharvest baby cabbage. It was clear that ultrasonic atomization fumigation treatment of SAEW at 100 mg/L could not only effectively inhibit the growth of the total number of colonies in baby cabbage during circulation and shelf life, but also effectively slow down the degradation of nutritional quality in baby cabbage during this process, thus improving the preservation effect of baby cabbage

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio

Penilaian Kinerja Keuangan Koperasi di Kabupaten Pelalawan

This paper describe development and financial performance of cooperative in District Pelalawan among 2007 - 2008. Studies on primary and secondary cooperative in 12 sub-districts. Method in this stady use performance measuring of productivity, efficiency, growth, liquidity, and solvability of cooperative. Productivity of cooperative in Pelalawan was highly but efficiency still low. Profit and income were highly, even liquidity of cooperative very high, and solvability was good