bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient Dendritic Cell Activation by a Layered Double Hydroxide‐Loaded Dual Adjuvant Cocktail
Authors: Jiang Yi , Tang Chenglun , Wu Yilun , Zhu Yishen 
Published: October 2024

AbstractOne of the main goals of present vaccine investigations is to develop a potent and efficient adjuvant strategy. The combination of multiple agonists to different pattern recognition receptor families offers great opportunities to achieve strong immune responses in a synergy manner. Here, we employed layered double hydroxide nanomaterials with BSA coating (LB) to integrate CpG and 3pRNA dual adjuvant cocktail, together with ovalbumin antigen. With LB loading, CpG and 3pRNA led to a quick internalization and enhanced induction of dendritic cell (DC) maturation. Meanwhile, this nanoadjuvant cocktail facilitated antigen crosspresenting in activated DCs. Taken together, these results may inspire the investigation of agonists combination and LDH‐based nanoadjuvants.
Regulating Molecular Interactions in Polybenzimidazole Membrane for Efficient Vanadium Redox Flow Battery
Authors: Su Yuke , Liu Suqin , Zhu Weiwei , Huang Kui , Huang Da , Jiang Peng , Liu Jianhui , Yang Guang , He Zhen , Wang Jue 
Published: October 2024

AbstractThe tightly bonded structure of polybenzimidazole (PBI) membrane is the origin of its poor proton conductivity, which severely hinders achieving a cost‐effective membrane for vanadium redox flow battery (VRFB). It desires a strategy to relax the membrane structure to significantly improve the proton conductivity and maintain its structure stability. Therefore, this work proposes a novel strategy through regulating molecular interactions within PBI membrane to loosen up the structure of PBI membrane and dramatically enhance the proton conductivity. The interactions in PBI membrane are switched by DMSO/water and acid through sequentially treating membrane with these solutions. The efficient PBI membrane prepared using this strategy demonstrates an outstanding performance for VRFB, with the proton conductivity enhanced by 3850 % (from 1.9 to 76.3 mS cm−1), and VRFB achieves a high energy efficiency of 80.5 % under 200 mA cm−2. More importantly, this work shed lights on the structure‐property relationship of PBI membrane, and the mechanism in enhancing proton conductivity is unraveled, which is of great significance for the development of VRFB membranes.
Design and Analysis of a Novel Wireless Electric Vehicle Battery Charging System Using Dual T‐Type Converter With High Efficiency and Bidirectional Capability
Authors: R Venugopal , C Balaji 
Published: October 2024

ABSTRACTRecently, numerous bidirectional wireless power transfer (WPT) systems with enhanced features for electric vehicle (EV) battery charging have been proposed. The converters in these WPT systems are generally configured with two synchronized full‐bridge–controlled converters operating at fixed duty cycle (two‐level operation) to enable WPT between the transmitter and receiver magnetic charge couplers. However, these require additional circuits to be employed in a wide range of load conditions, which lead to high costs and reduced power density. As a substitute, this article introduces a new wireless EV charging system using bidirectional dual T‐type converter (BDTC) configuration with PWM control. A wide range of load variations can be obtained without any additional circuits/switches with a proposed charging system based on a BDTC. Due to the reduced switching loss, reduced reactive circulating current, low cost, and increased efficiency, along with simple control, the proposed architecture offers significant advantages over traditional WPT systems. The proposed wireless EV charging system operates with series resonance in both directions. A mathematical model of the BDTC converter is developed, and the operating principle is detailed. Experimental results were acquired from the 3.3‐kW laboratory model, which exhibits nearly flat efficiency characteristics under various loading conditions; hence, the feasibility of the BDTC topology is validated.
Predictors of Outpatient and Inpatient Service Utilization Among Publicly–Insured Youth With Eating Disorders
Authors: Mikhail Megan E. , Cordell Kate Duggento , Downey Amanda E. , Snowden Lonnie R. , Accurso Erin C. 
Published: October 2024

ABSTRACTIntroductionAlthough eating disorders (EDs) affect youth from all socioeconomic backgrounds, little is known about the treatment experiences of under‐resourced youth with EDs. To address this gap, we examined patterns of outpatient and inpatient service utilization among publicly–insured youth with EDs in California and potential disparities for youth with additional marginalized identities.MethodParticipants were identified from the full sample of California Medicaid/Medi‐Cal beneficiaries aged 7–18 with ≥ 1 service episode between January 1, 2014 and December 31, 2016. Claims data were extracted for youth with a full year of claims after the first known ED diagnosis (N = 3311) to analyze outpatient mental health, outpatient medical/physical, inpatient mental health, and inpatient medical/physical service use across ED diagnosis and demographic characteristics (sex, age, race/ethnicity, and preferred language).ResultsOutpatient individual and family therapy service utilization was low across ED diagnoses (4–7 individual therapy sessions and ≈5 family therapy sessions annually). Conversely, hospitalization rates were high, particularly among youth with anorexia nervosa (27.8%) and bulimia nervosa (30.0%). Youth with other specified feeding or ED had high medical service utilization, with more days of outpatient medical care and greater odds of medical hospitalization than youth with all other diagnoses. Latinx youth, Black youth, and boys tended to receive fewer services after accounting for diagnosis, with disparities particularly pronounced for Latinx youth.ConclusionsPublicly–insured youth with EDs in California experience high hospitalization rates but receive limited outpatient therapy. Additional research is needed to identify possible unmet needs and factors contributing to treatment disparities among these youth.
Timing of veno‐arterial extracorporeal membrane oxygenation support in patients with cardiogenic shock
Authors: Sundermeyer Jonas , Kellner Caroline , Beer Benedikt N. , Dettling Angela , Besch Lisa , Blankenberg Stefan , Eitel Ingo , Frank Derk , Frey Norbert , Graf Tobias , Kirchhof Paulus , Krais Jannis , von Lewinski Dirk , Mangner Norman , Möbius‐Winkler Sven , Nordbeck Peter , Orban Martin , Pauschinger Matthias , Sag Can Martin , Scherer Clemens , Skurk Carsten , Thiele Holger , Westermann Dirk , Schrage Benedikt 
Published: October 2024

AbstractAimsThe optimal timing for implementing mechanical circulatory support (MCS) in cardiogenic shock (CS) remains indeterminate. This study aims to evaluate patient characteristics and outcome associated with the time interval between CS onset and veno‐arterial extracorporeal membrane oxygenation (VA‐ECMO) implementation.Methods and resultsIn this study, patients with CS treated with MCS at 15 tertiary care centres in three countries were enrolled. Patients treated with MCS were stratified into early (<2 h), intermediate (2–12 h) and delayed (≥12–24 h) MCS implantation by using the time interval between CS onset and MCS device implementation. Adjusted logistic and Cox regression models were fitted to assess the association between timing of MCS implementation, patient characteristics and 30‐day mortality. A total of 330 patients with CS treated with VA‐ECMO and/or microaxial flow pump were included in this study; 20.9% received early, 55.8% intermediate, and 23.3% delayed MCS. Although crude 30‐day mortality was slightly lower in patients with early MCS (58.1% vs. 64.7% vs. 64.3%), adjusted analyses showed no significant association between timing of MCS implantation and 30‐day all‐cause mortality (hazard ratio [HR] for early vs. intermediate MCS: 0.93, 95% confidence interval [CI] 0.59–1.46, p = 0.74; HR for early vs. delayed MCS: 1.29, 95% CI 0.78–2.13, p = 0.33). Moreover, the incidence of complications, related and unrelated to MCS, did not differ significantly among groups.ConclusionIn this exploratory study of patients with CS treated with MCS, the timing of device implantation within 24 h after CS onset was not associated with mortality. This supports a restrictive MCS approach, reserving its application for patients experiencing CS deterioration despite conventional therapy.
Allicin: A natural weapon against Taxol resistance in non‐small cell lung cancer through Cathepsin B inhibition and lysosomal‐autophagy disruption
Authors: Gao Xudong , Xu Chang , Santhanam Ramesh Kumar , Zhang Yingshi , Zhao Qingchun 
Published: October 2024

AbstractDrug resistance in non‐small cell lung cancer (NSCLC) limits its therapeutic efficacy. Allicin may help to solve the problem of Taxol resistance in NSCLC. This study aimed to explore the potential mechanism by which allicin reverses Taxol resistance in NSCLC. The potential mechanism of allicin reversing Taxol resistance in vitro was evaluated using cytotoxicity assays, evaluation of cell autophagy and lysosomal function. In addition, the in vivo model was established to evaluate the effectiveness of allicin in reversing Taxol resistance. The results showed that allicin effectively inhibited cell proliferation, induced apoptosis, and reversed Taxol resistance. It inhibits P‐gp expression, reduces drug efflux, and disrupts cell autophagy. In particular, allicin inhibited Cathepsin B (CTSB), disrupted lysosomal function, blocked autophagy flux, reduced mitochondrial membrane potential, and enhanced the sensitivity to Taxol. Allicin combined with Taxol significantly inhibited the growth of tumor nodules and reduced their number, demonstrating its potential to reverse Taxol resistance in vivo. In summary, allicin reversed Taxol resistance by inhibiting P‐gp and CTSB activity and disrupting the lysosomal‐autophagy pathway. These findings highlight the potential of allicin for cancer treatment and drug development.
Market Efficiency and Equity Risk Premium Predictability
Authors: dos Santos Maciel Leandro , da Silva Ricardo Franceli 
Published: October 2024

ABSTRACTThis work examines equity risk premium predictability in periods of market efficiency and market inefficiency. Efficiency is measured by the return's degree of multifractality, calculated from the multifractal detrended fluctuation analysis method. For the S&P 500 index during the 1951–2022 period, the results show that market efficiency varies over time, with recurrent periods of statistically significant inefficiency (multifractality). Moments of inefficiency are associated with (i) a higher level of financial uncertainty—financial uncertainty Granger causes the degree of multifractality (inefficiency), (ii) a greater variability in the patterns of dependence of returns and also (iii) with periods of more relevant volatility clusters. In times of market inefficiency (efficiency), the use of financial (technical) indicators shows statistically significant in‐sample and out‐of‐sample accuracy for equity risk premium prediction. When the market is efficient (inefficient), the use of financial (technical) indicators should be avoided due to the degradation of their predictive capacity. To build accurate and statistically significant predictions of the risk premium, thus enhancing decision‐making processes, investors should monitor the informational efficiency status of the market before selecting financial and technical indicators as predictive variables. Finally, during market inefficiency periods, there is a greater polarisation of investors' opinions, with increased attention to fundamental variables for risk premium prediction, leading to a breakdown in price trend patterns, explaining the worst predictive capacity of technical indicators.
Mechanism of HOXA10 in nasopharyngeal carcinoma cell proliferation through the PTPRG‐AS1/USP1 axis
Authors: Zhou He , Deng Chang , Xi Yue 
Published: October 2024

AbstractNasopharyngeal carcinoma (NPC) is an epithelial carcinoma arising from the nasopharyngeal mucosal lining. The present study sought to analyze the mechanism by which homeobox A10 (HOXA10) affects NPC cell proliferation. The expression levels of HOXA10/long noncoding RNA (lncRNA) PTPRG antisense RNA 1 (PTPRG‐AS1)/ubiquitin‐specific peptidase 1 (USP1) in NPC tissues and cells were determined. Cell proliferation was evaluated. The enrichment of HOXA10 on the PTPRG‐AS1 promoter was determined. The binding of PTPRG‐AS1, HuR, and USP1 to each other was analyzed via RNA immunoprecipitation. USP1 mRNA stability was determined after actinomycin D treatment. The role of the PTPRG‐AS1/USP1 axis in NPC cell proliferation was analyzed in combined experiments. The role of HOXA10 in vivo was confirmed in xenograft tumor models. The results revealed that HOXA10 was overexpressed in NPC. HOXA10 downregulation reduced NPC cell proliferation. PTPRG‐AS1 and USP1 were upregulated in NPC. HOXA10 bound to the PTPRG‐AS1 promoter to increase PTPRG‐AS1 expression, and the binding of PTPRG‐AS1 to HuR increased USP1 expression. PTPRG‐AS1 or USP1 overexpression attenuated the inhibitory effects of HOXA10 downregulation on NPC cell proliferation. HOXA10 downregulation inhibited in vivo NPC proliferation through the PTPRG‐AS1/USP1 axis. In conclusion, HOXA10 facilitates NPC cell proliferation in vitro and in vivo through the PTPRG‐AS1/USP1 axis.
Sauger testicular harvest eliminates sperm limitation during large-scale saugeye (Walleye × Sauger) production
Authors: Blawut Bryan 
Published: October 2024

Abstract

Objective
Poor milt yield via strip-spawning in male Sauger Sander canadensis limits the production of saugeye (female Walleye S. vitreus × male Sauger) by the Ohio Division of Wildlife. Compared to strip-spawning, collecting sperm via testicular harvest offers several advantages that increase production efficiency through enhanced sperm yield (e.g., requires fewer broodfish, allows higher sperm application rates, and increases fertilization rates). The benefits of testicular harvest have been demonstrated experimentally in Sauger but not at a production scale. In this study, I validated the large-scale efficacy of testicular harvest in Sauger for saugeye production.

Methods
I collected sperm from male Sauger by using either testicular harvest (42 fish) or strip-spawning (222 fish), diluted samples with extender, and combined samples to create 9-mL sperm pools (n = 21 for testicular harvest; n = 39 for strip-spawning). I compared sperm quantity, sperm motility, and production attributes (broodstock requirements, sperm application rates, and expected fertilization) between testicular harvest and strip-spawning collection methods.

Result
Both collection methods resulted in high-quality sperm. Testicular harvest doubled the sperm yield (total number of sperm) per 9-mL pool despite using only 2 fish/pool, while strip-spawning required 5–7 fish/pool. Through this enhanced yield, testicular harvest produced enough sperm to fertilize 317 L of eggs (1.06 mL/L) by using 80% fewer males than strip-spawning. Further, sperm application increased fourfold using testicular harvest (4.23 mL/L) while still requiring 30–40% fewer fish than are currently used to meet production. Adopting testicular harvest for saugeye production in 2023 increased broodstock sperm yield, allowed greater sperm application rates, reduced Sauger broodstock needs, and increased saugeye hatching rates (15–20% increase).

Conclusion
Testicular harvest provides an efficient approach for sperm collection during large-scale production in fish species that produce small quantities of sperm.
Coronavirus Metamorphosis Optimization Algorithm and Collocation Method for Optimal Control Problem in COVID‐19 Vaccination Model
Authors: Jajarmi A. , Ebrahimzadeh A. , Khanduzi R. 
Published: October 2024

ABSTRACTThis article addresses an optimal control problem (OCP) related to the COVID‐19 vaccination model. We transform the OCP into a nonlinear programming (NLP) problem by employing a collocation method that utilizes shifted Jacobian polynomials (SJPs) and their derivative operational matrices. To solve the NLP, we implement the Coronavirus Metamorphosis Optimization Algorithm (CMOA), which determines the control variables for , 2, and 3, corresponding to isolation, vaccination efficacy, and treatment enhancement. The CMOA is particularly suitable for the OCP concerning COVID‐19 due to its ability to navigate complex challenges and provide accurate solutions. Therefore, the primary aim of this paper is to identify a high‐quality optimal solution for the OCP, thereby contributing to the development of effective control strategies for managing the COVID‐19 pandemic.
Low‐value interventions to deimplement: A secondary analysis of a systematic review of low back pain clinical practice guidelines
Authors: Tai Daniel , Kim Eunyeop , Grover Prateek , Rodriguez Alejandro , Olivier Timothy J. , Annaswamy Thiru M. 
Published: October 2024

AbstractObjectiveTo perform a secondary review of low back pain (LBP) clinical practice guidelines (CPG) identified in a recently conducted systematic review and to synthesize and summarize low‐value recommendations as practices that may be candidates for deimplementation.Literature SurveyLBP (subacute or chronic) CPGs in English (symptom based, created by a governmental or professional society, published between January 1990 and May 2020) were previously identified using MEDLINE, EMBASE, CINAHL, Ortho Guidelines, CPG Infobase, Emergency Care Research Institute, Guidelines International Network, National Institute of Health and Care Excellence, and Scottish Intercollegiate Guideline Network.MethodologyTwenty‐one CPGs were reviewed from a systematic review (previously published). Full‐text review of all 21 CPGs was conducted, and three recommendation categories indicative of low value (recommend strongly against, recommend weakly against, inconclusive/insufficient evidence) were identified using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) language and approach.SynthesisOne hundred thirty‐five low‐value recommendations were identified and classified under eight intervention categories: orthotics/support, traction, physical modalities, pharmacological interventions, injections, surgery, bed rest, and miscellaneous. Traction, transcutaneous electrical nerve stimulation (TENS), therapeutic ultrasound (TUS), and selective serotonin reuptake inhibitors (SSRI) had the most CPGs recommend strongly against their usage. Opioids were recommended strongly against by four CPGs. No significant difference (p > .05) was found between CPG quality and a specific deimplementation recommendation or between CPG quality and the number of strongly against, weakly against, and inconclusive/insufficient evidence recommendations.ConclusionsClinicians managing patients with chronic LBP should consider deimplementing these low‐value interventions (traction, TENS, TUS, and SSRI).
Bayesian Response Adaptive Randomization for Randomized Clinical Trials With Continuous Outcomes: The Role of Covariate Adjustment
Authors: Aslanyan Vahan , Pickering Trevor , Nuño Michelle , Renfro Lindsay A. , Pa Judy , Mack Wendy J. 
Published: October 2024

ABSTRACTStudy designs incorporate interim analyses to allow for modifications to the trial design. These analyses may aid decisions regarding sample size, futility, and safety. Furthermore, they may provide evidence about potential differences between treatment arms. Bayesian response adaptive randomization (RAR) skews allocation proportions such that fewer participants are assigned to the inferior treatments. However, these allocation changes may introduce covariate imbalances. We discuss two versions of Bayesian RAR (with and without covariate adjustment for a binary covariate) for continuous outcomes analyzed using change scores and repeated measures, while considering either regression or mixed models for interim analysis modeling. Through simulation studies, we show that RAR (both versions) allocates more participants to better treatments compared to equal randomization, while reducing potential covariate imbalances. We also show that dynamic allocation using mixed models for repeated measures yields a smaller allocation proportion variance while having a similar covariate imbalance as regression models. Additionally, covariate imbalance was smallest for methods using covariate‐adjusted RAR (CARA) in scenarios with small sample sizes and covariate prevalence less than 0.3. Covariate imbalance did not differ between RAR and CARA in simulations with larger sample sizes and higher covariate prevalence. We thus recommend a CARA approach for small pilot/exploratory studies for the identification of candidate treatments for further confirmatory studies.
Pituitary apoplexy secondary to immune‐mediated thrombocytopenia, with refractory severe hypernatremia in a dog
Authors: Cermeno Sara , Hardwick Josh J. , Cardy Thomas , Woolhead Vanessa L. 
Published: October 2024

AbstractA 9‐year‐old, female, neutered Swedish Valhund was referred for progressive obtundation and development of petechiae. Neurological examination was consistent with a diffuse forebrain and brainstem neuroanatomical localisation. Severe thrombocytopenia was documented with investigations indicative of primary immune‐mediated thrombocytopenia. The dog was subsequently found to have persistent severe hypernatremia 5 days after initial presentation, which was refractory to intravenous fluid therapy. Euthanasia was requested due to the lack of clinical improvement. Postmortem brain magnetic resonance imaging identified an ovoid suprasellar area of suspected haemorrhage, most likely consistent with pituitary apoplexy. This is the first report describing pituitary apoplexy with refractory severe hypernatremia secondary to immune‐mediated thrombocytopenia in a dog.
Performance Evaluation of a Family of GARCH Processes Based on Value at Risk Forecasts: Data Envelopment Analysis Approach
Authors: Babiš Alex 
Published: October 2024

AbstractThe aim of this study is to form a detailed comparison of the predicting power of some generalized autoregressive conditional heteroskedasticity processes paired with several parametric distributions in application to Value at Risk evaluation. Selected processes are able to incorporate known volatility characteristics such as the memory or the leverage effect. In the same manner, the distributions have been selected to be able to incorporate the asymmetry or heavy tails. We decide to form the criteria based on the statistical tests and the loss function, both measures popular in value at risk backtesting, as well as various confidence levels as the results can vary with changing the confidence level value estimated on 46 European stocks traded over a 4-year period. As this approach yields a large amount of different criteria about each separate model, the aggregation of data is used in order to create summary metrics and subsequently those metrics are passed to Russel model in order to produce clear and reasonable comparison of the approaches. We found that the data envelopment analysis methods are adequate for tasks regarding performance evaluation of the models. Second, we found that in the long position value at risk forecasting the distribution is more valuable than the volatility specification, which has been already shown to be present for various time series data in the literature. As for the short position value at risk forecasting, we came to a conclusion that the relationship is reversed and the volatility specification should be given the primary attention as it produces better value at risk forecasts.