Search Results (16,358)

This paper presents an optimized control strategy based on a Doubly Fed Induction Generator (DFIG) and Gravity Energy Storage System (GESS) for AC voltage support in unbalanced grid conditions. The presented control aims to achieve precise rotational speed control, voltage stabilization, and harmonic component suppression. The optimization strategy responds to voltage and frequency fluctuations in an unbalanced grid. Based on Grid-Forming (GFM) control, it adjusts the DFIG’s operating state in real time. This ensures stable voltage support and mitigates harmonic distortion caused by the unbalanced grid. Simulation results, under a weak grid (SCR = 3) and unbalanced (0.9 p.u. voltage sag) conditions, validate the strategy, which reduces rotor current THD from 12.57% to 1.71% and maintains precise speed tracking during a 0.8 p.u. to 0.7 p.u. load change. The results demonstrate that the presented control method effectively improves grid power quality. It also enhances system stability and reliability. This approach provides strong support for integrating renewable energy into unbalanced grids. Full article

Background/Objectives: While furcation involvement is a known predictor for tooth loss, the role of systemic medications is understudied. This study aimed to investigate the association between common systemic medications and both the presence and severity of furcation involvement in a large patient cohort. Methods: This retrospective cross-sectional study analyzed electronic health records from 15,881 patients within the BigMouth Dental Data Repository. The association between demographics, medication use (ACE inhibitors, statins, anti-coagulants, antidepressants, bisphosphonates, proton pump inhibitors), and the presence of furcation involvement was assessed using Chi-Square tests and multivariate logistic regression. The statistically significant relationship between medications and furcation severity (Grades 1–4) was analyzed using multinomial logistic regression. Results: Being male (OR: 1.34) and of non-Hispanic ethnicity (OR: 1.36) were significant demographic predictors for furcation involvement. After adjusting for demographics, use of ACE inhibitors (OR: 1.40), anti-coagulants (OR: 1.19), and statins (OR: 1.14) were significantly associated with higher odds of furcation involvement. Specifically, Lisinopril (OR: 1.48), Enalapril (OR: 1.83), and Atorvastatin (OR: 1.27) were significant predictors. Furthermore, patients taking Lisinopril, Aspirin, Atorvastatin, or Simvastatin had approximately 1.5 times the odds of having Grade 3 involvement compared to Grade 1 (p ≤ 0.001). Conclusions: The use of certain systemic medications, particularly for cardiovascular conditions, is independently associated with both a higher likelihood and increased severity of furcation involvement, highlighting the critical need for dental professionals to consider a patient’s medication profile as an integral part of periodontal risk assessment. Full article

Introduction/Background: Treatment of localized prostate cancer includes radical prostatectomy (RP) with or without pelvic lymph node dissection (PLND). While multiple guidelines recommend PLND for staging purposes, recent data has shown questionable therapeutic benefit. Thus, understanding the morbidity associated with PLND is important for counseling patients. We used the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) targeted prostatectomy database to quantify real-world 30-day postoperative outcomes of patients undergoing contemporary robot-assisted PLND at the time of RP for prostate cancer to quantify the incremental morbidity. Methods: We conducted a retrospective cohort study using the NSQIP database of adult patients undergoing radical prostatectomy from 2019 to 2022. The primary outcomes were procedure-specific outcomes such as lymphocele and rectal injury. Secondary outcomes included a composite of any of the following 30-day major postoperative outcomes: mortality, reoperation, cardiac or neurologic event, as well as the individual components of this outcome, as well as infectious and other complications. We also analyzed yearly trends associated with PLND. Groups were balanced using propensity score matching (PSM) with a 1:1 ratio using demographic characteristics, prior medical history, and cancer staging data. Likelihood of complications was assessed by conditional logistic regression. Results: We identified 13,413 patients between 2019 and 2022 who underwent robotic prostatectomy: 11,341 (85%) had PLND while 2072 (15%) did not. After PSM, our cohort included 2071 matched pairs of patients with and without PLND. Patients who underwent PLND were more likely to be diagnosed with lymphocele (2.14% vs. 0.68%, OR 4.17; 95% CI 2.00, 8.68), have unplanned readmission (4.22% vs. 3.27%, OR 1.31; 95% CI 1.03, 1.65), and develop organ-site/space SSI (1.18% vs. 0.60%) (OR 1.97, 95% CI 1.20, 3.23). There was no significant association between the receipt of PLND and the likelihood of urinary leak or fistula, or ureteral obstruction. There were no significant differences between the two groups with respect to secondary outcomes of interest. Conclusion: Contemporary robotic PLND is associated with a 3-fold increased likelihood of lymphocele, as well as increased likelihood of unplanned readmission and organ-site SSI, though no significant differences in major postoperative complications were identified. We found that the odds of lymphoceles, readmission, and SSI in our study are lower than previously reported. These data provide real-world data to guide patient counseling and optimize patient selection for PLND at the time of RALP. Full article

The ability to precisely prepare microfluids with targeted concentrations is critical for numerous applications, including protein crystallization and drug efficacy evaluation. This study presents an efficient microfluidic method for the continuous preparation of fluids at desired concentrations utilizing AC electroosmosis (ACEO). Two miscible fluids of different initial concentrations are introduced through separate inlets. Target concentrations are achieved through ACEO-driven mixing, where fluid manipulation via electric signal and flow velocity control enables precise concentration adjustment at the outlet. To elucidate the concentration control mechanism via ACEO, we develop a three-dimensional numerical model coupling electric, flow, and concentration fields. Our results demonstrate that concentration modulation is significantly influenced by intrinsic fluid properties and external control parameters, including fluid viscosity, conductivity, axial fluid velocity, driving voltage, and signal frequency. Specifically, higher fluid viscosity and conductivity dampen electroosmotic flow, necessitating increased voltage to achieve target concentration. Axial fluid velocity determines the residence time in the mixing zone, directly affecting mixing efficiency and concentration control effect. The intensity of ACEO flow increases with applied voltage, enabling tunable mixing performance and outlet concentration. Overall, the simplicity of device design combined with precise concentration manipulation makes this method particularly attractive for applications requiring accurate fluid preparation. Full article

Background: Liver regeneration is essential for restoring hepatic mass after injury or resection, with metabolic reprogramming as a critical driver. Radix Rehmanniae Praeparata (RRP), a traditional Chinese medicine for chronic liver diseases, regulates glucose and lipid metabolism. This study evaluated the effects of RRP on liver regeneration and explored the underlying mechanisms. Methods: A 70% partial hepatectomy (PHx) mouse model was employed, and integrated transcriptomic and metabolomic analyses were conducted to characterize the global features of RRP-induced metabolic reprogramming and its association with hepatocyte proliferation. To further validate these findings, the AML12 hepatocyte cell line and primary mouse hepatocytes were used to identify key targets of RRP. Results: RRP significantly enhanced liver regeneration, as evidenced by the upregulation of hepatocyte proliferation markers. Transcriptomic, metabolomic, and biochemical analyses showed that RRP promoted lipid catabolism and H3K27ac remodeling-dependent hepatocyte proliferation by increasing acetyl-CoA flux. RRP also enhanced carbohydrate consumption and pentose phosphate pathway, as well as protecting mitochondrial integrity, which contribute to both energy production and nucleotide synthesis during cell cycle progression. Notably, RRP-induced AMPK activation was involved in these metabolic reprogramming events, since pharmacological inhibition of AMPK with Compound C attenuated the promotive effects of RRP on liver regeneration. Conclusions: RRP promotes liver regeneration by enhancing metabolic reprogramming mediated by AMPK activation, highlighting its therapeutic potential for metabolic adaptation and postoperative recovery in compromised liver. Full article

This paper investigates the role of reactive power support from Distributed Generation (DG) units in improving voltage compliance and maximizing active power injection in medium-voltage distribution networks. Using the IEEE 34-Node Test Feeder as a case study, a simplified single-phase equivalent model was developed, excluding voltage regulators, shunt capacitors, and step-down transformers to focus on the intrinsic voltage behavior of the feeder. An AC Optimal Power Flow (OPF) model was formulated in Pyomo and solved with Interior Point Optimizer (IPOPT) to evaluate two operational scenarios: (i) DG injecting a fixed 1 MW of active power without reactive power support, and (ii) DG injecting the same active power with optimized reactive power dispatch within $\pm 0.5$ MVAr, subject to apparent power constraints. Simulation results show that allowing reactive power flexibility increases the number of feasible DG connection points, improves minimum bus voltages, and reduces the occurrence of voltage limit violations. The findings suggest that modest reactive power capabilities can significantly enhance the hosting capacity of radial distribution feeders without requiring costly network reinforcements. Full article

The contamination of traditional Chinese medicines (TCMs) with neonicotinoid pesticides, notably acetamiprid (ACE), poses a significant challenge to product safety. Conventional detection methods are often hampered by operational complexity, prolonged analysis times, and dependence on sophisticated instrumentation, rendering them impractical for rapid on-site screening. To address these limitations, an indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) was developed for the efficient quantification of ACE residue in TCM matrices. A monoclonal antibody-based ic-ELISA was developed through the synthesis of an ACE antigen. Critical assay parameters—including coated antigen concentration, antibody dilution ratio, and blocking buffer composition—were systematically optimized. The validated protocol was subsequently applied to ACE detection in five representative TCMs. The sensitivity (IC₅₀), limit of detection (IC₁₅), and detection range (IC₂₀-IC₈₀) of the developed ic-ELISA for ACE were 13.61 ng/mL, 0.50 ng/mL, and 1.00–150.99 ng/mL, respectively. The ic-ELISA demonstrated good stability and specificity, with cross-reactivity for ACE analogs all below 1.5%. Additionally, the ic-ELISA for ACE achieved recoveries of 86.87–104.80% in spiked TCM samples (Lonicerae Japonicae Flos, Lycii Fructus, Bulbus Lilii, Citri Reticulatae Pericarpium, and Jasminum sambae Flos), with relative standard deviations (RSDs) of 3.33–12.05%. The recovery rate of ic-ELISA was verified to be in good consistency with that of high-performance liquid chromatography (86.09–102.10%), indicating that ic-ELISA has acceptable accuracy and precision. This approach is simple and sensitive, making it suitable for the rapid quantitative detection of ACE residues in TCM products. It also provides technical references for the development of ic-ELISA for other small-molecule contaminants. Full article

Introduction: The Mediterranean diet (MD) has been linked to better cognition, but evidence in older adults at high dementia risk is limited. Moreover, the traditional Mediterranean Diet Adherence Screener (MEDAS) counts daily wine consumption as a beneficial component, which may distort genuine diet–cognition relationships. Objective: Evaluate whether MD adherence, as measured with the original MEDAS (MEDAS-O) versus a version that reverses the wine item (MEDAS-R), is associated with cognitive function in Portuguese adults aged 55–85 years at increased dementia risk. Methodology: The sample comprised 75 participants from the NUTRIMIND randomised controlled trial (mean age 70.5 ± 7.0 years). MD adherence was evaluated using the original version of MEDAS (MEDAS-O) and an adapted version with a reverse score in the wine question (MEDAS-R). Cognitive function was assessed via the Montreal Cognitive Assessment (MoCA), Addenbrooke’s Cognitive Examination Revised (ACE-R) and Mini-Mental State Examination (MMSE). Statistical analysis was performed using Analysis of Covariance (ANCOVA) models adjusted for age, sex, BMI, education, and physical activity. Results: MEDAS-R was positively associated with better MMSE performance (p = 0.043) and showed a borderline association with the MoCA (p = 0.051), but not with the ACE-R score (p = 0.356). No association was found between MEDAS-O and cognitive function. Better cognitive scores were more frequently observed among participants with higher education (p < 0.001). Conclusions: Reversing the wine item changes how MEDAS relates to cognitive function. These findings support re-evaluating how wine is scored in MD adherence measures. Full article

The rapid growth of renewable energy integration in modern power systems brings new challenges in terms of stability and quality of electricity supply. Hybrid AC/DC microgrids represent a promising solution to integrate photovoltaic panels (PV), wind turbines, fuel cells, and storage units with flexibility and efficiency. However, maintaining adequate power quality (PQ) under variable conditions of generation, load, and grid connection remains a critical issue. This paper presents the modelling, implementation, and validation of a hybrid AC/DC microgrid equipped with a fuzzy-logic-based energy management system (EMS). The study combines PQ assessment, measurement architecture, and supervisory control for technical compliance and economic efficiency. The microgrid integrates a combination of PV array, wind turbine, proton exchange membrane fuel cell (PEMFC), battery storage system, and heterogeneous AC/DC loads, all modelled in MATLAB/Simulink using a physical-network approach. The fuzzy EMS coordinates distributed energy resources by considering power imbalance, battery state of charge (SOC), and dynamic tariffs. Results demonstrate that the proposed controller maintains PQ indices within IEC/IEEE standards while eliminating short-term continuity events. The proposed EMS prevents harmful deep battery cycles, maintaining SOC within 30–90%, and optimises fuel cell activation, reducing hydrogen consumption by 14%. Economically, daily operating costs decrease by 10–15%, grid imports are reduced by 18%, and renewable self-consumption increases by approximately 16%. These findings confirm that fuzzy logic provides an effective, computationally light, and uncertainty-resilient solution for hybrid AC/DC microgrid EMS, balancing technical reliability with economic optimisation. Future work will extend the framework toward predictive algorithms, reactive power management, and hardware-in-the-loop validation for real-world deployment. Full article

Under China’s dual carbon goals, the surging summer demand for air conditioning (AC) has widen the power grid’s peak-to-valley difference, posing challenges to conventional supply-side solutions. To address this issue, effective demand-side coordination is essential. However, existing demand response schemes typically optimize single resources in isolation and overlook the dynamic evolution of user participation. This study proposes a price-guided coordination mechanism integrating vehicle-to-grid (V2G) and AC loads to establish a closed-loop value chain among the grid, aggregators, and users. A bi-level optimization framework is developed to balance the interests of these stakeholders. The model incorporates a V2G discharging willingness component that considers user psychology and battery degradation, as well as an AC response model reflecting thermal comfort. Simulation results demonstrate that the proposed mechanism effectively mitigates peak loads and narrows the peak-to-valley difference while enhancing off-peak electricity consumption. It accommodates the spatiotemporal and user-type heterogeneity of response behaviors, yielding notable economic gains for all participants. This research validates a comprehensive strategy for improving grid flexibility, protecting stakeholder interests, and optimizing user engagement, offering both theoretical insight and practical guidance for diversified resource integration. Full article

Dry Eye Disease (DED) is a multifactorial condition of the ocular surface, with one potential cause being damage from eye drops containing preservatives such as benzalkonium chloride (BAC). Current treatments for DED are unsatisfactory; therefore, it is worth exploring new therapies based on the secretome derived from stem cells. Human stem cells are important sources of growth factors and cytokines that promote tissue regeneration. The secretome of these cells can be obtained in vitro in conditioned medium (CM). The aim of the study was to evaluate the effect of CM derived from adipose-derived stem cells (hADSCs) and amniotic membrane-derived cells expressing mesenchymal and/or epithelial markers on limbal stem cells (LSCs) damaged by BAC, focusing on their regenerative potential. The study used two experimental models: the first focused on neutralizing the toxic effects of BAC when each CM was administered concurrently, and the second on the therapeutic effects of CM after prior cell damage by BAC. The effects of CM on LSCs were assessed, including apoptosis, cell cycle progression, proliferation, migration, and inflammation. CM from ADSCs and amniotic cells were shown to significantly reduce BAC-induced damage to LSCs. All tested CM promoted LSC regeneration, although their efficacy varied among treatments. The application of CM during BAC exposure yielded stronger and more consistent benefits than post-injury treatment. Full article

This study aimed to explore innovative sorbent materials for the remediation of contaminated marine environments, with a focus on metal removal from seawater. Adsorption tests were carried out to evaluate the performance of single-cell proteins (SCPs), a protein-rich biomass derived from industrial by-products, in comparison with commercial activated carbon (AC). Given the increasing need for sustainable and effective approaches in sediment remediation and water treatment, identifying alternatives to conventional sorbents is of particular relevance. Results showed that SCPs exhibited higher affinity for Cr than for Zn, while multi-metal solutions improved adsorption, suggesting synergistic interactions possibly linked to surface charge effects and ternary complex formation. Importantly, SCPs demonstrated competitive and, in some cases, superior performance compared to AC, highlighting their potential as an innovative and sustainable material. Moreover, when the absorbent materials were combined, SCP and AC mixes outperformed both the individual adsorbents and the expected additive efficiencies, achieving significantly higher removal yields for both metals, particularly at low concentrations. Overall, these findings suggest that SCPs, alone or in combination with AC, represent a promising strategy for the removal of heavy metals from marine systems, offering new opportunities for the treatment of contaminated sediments and seawater. Full article

Background/Objectives: Management of acute episodes of lower urinary tract infection (LUTI) depends on whether they are sporadic or recurrent. We aimed to define factors that differentiate patients with acute sporadic cystitis (AC) from those with recurrent cystitis (RC) and thereby improve individualized care. Methods: We performed a post hoc analysis of prospectively collected data from the multinational GPIU.COM study. Female patients with an acute LUTI episode completed the Acute Cystitis Symptom Score (ACSS) and underwent a routine clinical and laboratory evaluation, including a physical examination, ultrasonography, urinalysis, and urine culture and antimicrobial susceptibility testing. Risk factors for recurrence were evaluated using the Lower Urinary Tract Infection Recurrence Risk (LUTIRE) nomogram and the ORENUC classification. Statistical analysis followed a robust stepwise approach. Significant variables were assessed by relative risk (RR), and logistic regression was used to estimate odds ratios (ORs). Model performance was evaluated using the area under the curve (AUC), the Hosmer–Lemeshow test, variance inflation factor (VIF), and bootstrap sampling. Results: A total of 106 women were included (AC n = 50; RC n = 56). Patients with RC more frequently presented with a history of constipation, a severe impact of symptoms on daily activities, multiple uropathogens, and trace proteinuria. Pyuria was inversely associated with RC. Logistic regression identified chronic constipation, severe impact of symptoms on daily activities, and multiple uropathogens as independent predictors of RC. Three predictive models showed consistent discrimination between AC and RC (AUC = 0.80, 0.82, and 0.84). Conclusions: AC and RC showed notable differences in certain symptom profiles, quality of life, urinalysis, and microbiological findings. Combining high-value predictors from LUTIRE and ORENUC into a comprehensive prognostic algorithm could improve assessment of recurrence risk. A refined classification of LUTIs with recurrence grading is warranted to guide decision-making and prevention strategies. Full article

Multilevel inverters (MLI) have become the frontier in high-power medium voltage systems because of their unique property of generating sinusoidal voltage through smaller voltage increments. Although many MLI structures have been proposed over the years, most still rely on a large number of switches, which increases complexity and conduction losses. In this work, a reconfigurable, gable-shaped multilevel inverter module, capable of operating in both symmetric and asymmetric modes, is introduced for use in AC microgrid cluster environments. The design employs five DC sources and six semiconductor devices arranged in a gable layout, which helps shorten the conduction path while also reducing the total hardware count. As a result, the inverter becomes more compact, experiences lower switching losses, and proves more suitable for grid-connected operation. In symmetric mode, the inverter delivers an 11-level output, while the asymmetric arrangement produces 19 levels. The proposed concept is examined through MATLAB/Simulink (R2023a) studies, and its practicality is verified using a Hardware-in-the-Loop setup with an integrated data-acquisition system capable of delivering 10 kW of real power and handling up to 50% overload. These results confirm the suitability of the topology for real-time grid applications. Full article

Magnesium metal boasts a high theoretical volumetric specific capacity and abundant reserves. Magnesium batteries offer high safety and environmental friendliness. In recent years, magnesium-ion batteries (MIBs) with Mg or Mg alloys as anodes have garnered extensive interest and emerged as promising candidates for next-generation competitive energy storage technologies. However, MIBs are plagued by issues such as sluggish desolvation kinetics and slow migration kinetics, which lead to limitations including a limited electrochemical window and poor magnesium storage reversibility. Herein, the sodium vanadium phosphate @ carbon (Na₃V₂(PO₄)₃@C, hereafter abbreviated as NVP@C) cathode material was synthesized via a sol–gel method. The electrochemical performance and magnesium storage mechanism of NVP@C in a 0.5 M magnesium bis(trifluoromethanesulfonyl)imide/ethylene glycol dimethyl ether (Mg(TFSI)₂/DME) electrolyte were investigated. The as-prepared NVP@C features a pure-phase orthorhombic structure with a porous microspherical morphology. The discharge voltage of NVP@C is 0.75 V vs. activated carbon (AC), corresponding to 3.5 V vs. Mg/Mg²⁺. The magnesium storage process of NVP@C is tentatively proposed to follow a ‘sodium extraction → magnesium intercalation → magnesium deintercalation’ three-step intercalation–deintercalation mechanism, based on the characterization results of ICP-OES, ex situ XRD, and FTIR. No abnormal phases are generated throughout the process, and the lattice parameter variation is below 0.5%. Additionally, the vibration peaks of PO₄ tetrahedrons and VO₆ octahedrons shift reversibly, and the valence state transitions between V³⁺ and V⁴⁺/V⁵⁺ are reversible. These results confirm the excellent reversibility of the material’s structure and chemical environment. At a current density of 50 mA/g, NVP@C delivers a maximum discharge specific capacity of 62 mAh/g, with a capacity retention rate of 66% after 200 cycles. The observed performance degradation is attributed to the gradual densification of the CEI film during cycling, leading to increased Mg²⁺ diffusion resistance. This work offers valuable insights for the development of high-voltage MIB systems. Full article