bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postoperative Implementation of Virtual Reality and Wearable Devices: Opportunities and Challenges
Authors: Pandrangi Vivek C. , Araujo Ana V. , Buncke Michelle , Olson Brennan , Jorizzo Matthew , Said‐Al‐Naief Nasser , Sanusi Olabisi , Ciporen Jeremy , Shindo Maisie , Schindler Joshua , Colaianni C. Alessandra , Clayburgh Daniel , Andersen Peter , Flint Paul , Wax Mark K. , Geltzeiler Mathew , Li Ryan J. 
Published: January 2025

ObjectiveTo examine implementation of virtual reality (VR) and Fitbit wearable activity devices in postoperative recovery.MethodsThis was a prospective, 4‐arm, randomized controlled trial of patients undergoing inpatient head and neck surgery at a tertiary academic center from November 2021 to July 2022. Patients were randomized to Control, VR, Fitbit, or combined VR + Fitbit groups. Patients in the VR groups were brought VR headsets to use throughout each day, and patients in the Fitbit groups wore Fitbit devices and were encouraged to achieve 2,000 daily steps. The primary outcome was average daily opioid use, measured as milligram morphine equivalents (MME).ResultsThere were 80 patients included. The majority of patients were male (68.8%), and mean age was 58.8 ± 14.4 years. Only the combined VR + Fitbit cohort was associated with reduced average daily opioid use (VR + Fitbit: 8.8 [20.6] MME vs. Control: 26.4 [37.4] MME, p = 0.02). Patients in intervention groups also had higher hospital satisfaction (p = 0.02). VR was utilized 26% of the time it was provided, with mean use time of 23.8 ± 7.8 min. Mean post‐VR subjective pain reduction was 1.0 ± 1.3, and there were three mild adverse events of neck or nasal discomfort. Among the Fitbit groups, there were no adverse events and daily step counts ≥2,000 steps were achieved 45% of the time.ConclusionImplementation of VR and wearable activity devices in postoperative recovery appears well tolerated and may facilitate further development of Enhanced Recovery After Surgery (ERAS) protocols, though there are challenges to maximizing device usage.Level of Evidence: II. Laryngoscope, 2025
A Universal Strategy for Multicolor Mechanoluminescence via Radiative Energy Transfer Based on Ultraviolet Mechanoluminescent Material Ca9Al(PO4)7:Ce3+
Authors: Cheng Kaige , Guo Ziyi , Zhang Peng , Feng Long , Zhou Yunpeng , Li Lili , Song Hongxin , Wang Tianli , Zhao Yaru , Zhao Lei 
Published: January 2025

AbstractThe selection of mechanoluminescent materials is often unpredictable and arbitrary, posing new challenges for the application of high‐performance mechanoluminescence (ML). Materials with exceptional photoluminescence (PL) properties generally possess highly efficient carrier radiative transitions. Investigating how to induce ML in these materials can provide new perspectives on the selection of ML materials. Here, a universal strategy for multicolor ML via radiative energy transfer by ultraviolet ML material Ca9Al(PO4)7:Ce3+ (CAPC) is proposed. Multicolor ML can be regulated through the isomerization of energy acceptors. In CAPC@energy acceptor@polydimethylsiloxane composite system, the multicolor ML relies on a simple radiative energy transfer (reabsorption) mechanism, rather than the complex energy transfer between the excited states of ions. Using this strategy, certain highly efficient PL materials can develop ML, transitioning from nonexistent to present or from weak to strong. Additionally, the ML color can be tuned by adjusting the composition ratio of energy donor and acceptor. This work provides a simple, feasible, and versatile strategy for the selection and development of multicolor ML materials.
Nanofibrous Biomaterial Containing Raw‐Propolis Particles Encapsulated by PLA/PBS for Wound Dressing Application
Authors: Özdilek Ecem , Samatya Yilmaz Sema , Uzuner Hüseyin , Aytac Ayse 
Published: January 2025

AbstractThe hollow nanofibrous materials were obtained by successfully encapsulating different rate raw‐propolis particles (5%, 10%, and 15%) with hydrophobic polylactic acid/polybutylene succinate (PLA/PBS, 93/7, w/w) blend. No purification process such as extraction was applied to raw propolis and propolis was used as raw. High liquid absorbing capacity values between 400 and 600% were observed owing to the hollow core of the nanofiber. Scanning electron microscopy (SEM) surface images of hollow nanofibers became transparent, and it was seen that the fiber diameters were thickened. The tensile stress of 5% propolis‐encapsulated biomaterial exhibited the highest value of 1.25 MPa. High antibacterial activity was observed especially against Staphylococcus aureus (S. aureus) at the end of the 24th and 48th h with the dispersion of raw‐propolis particles in the core of propolis‐encapsulated all fibrous materials. However, it was seen that the use of propolis in its raw form caused the emergence of toxic effects. It was reported that hollow biomaterials containing raw‐propolis particles encapsulated by PLA/PBS could not be used as wound dressings due to insufficient fibroblast cell viability. So, it was suggested that pure hollow PLA/PBS fibrous mats could be used as skin tissue scaffolds.
Strong Anionic Fluorene Donor–Acceptor Copolyelectrolytes from Protected Hydrophobic Precursors
Authors: Hofman Anton H. , Dijkstra Peter , Kamperman Marleen 
Published: January 2025

AbstractConjugated polyelectrolytes (CPEs), materials that are defined by a ‐conjugated backbone and charged ionic functional groups, are frequently prepared through direct polymerization of charged monomer species in aqueous media. This route is, however, often accompanied by labor‐intensive work‐up procedures, low yields, and ultimately results in materials that are difficult to characterize. To overcome these inconveniences, in this work protection chemistry is applied on sulfonate‐functionalized fluorene monomers that are polymerized under standard Suzuki polycondensation conditions to obtain protected donor–acceptor copolymers. Treatment of the organo‐soluble precursors under nucleophilic conditions resulted in quantitative removal of the protecting groups, thereby exposing the strong anionic functionalities. Unlike in other studies, the conjugated backbones remained unharmed during this process: the photophysical properties of the CPEs are identical to their hydrophobic precursors.
Impaired network organization in mild age‐related hearing loss
Authors: Tong Zhaopeng , Xing Chunhua , Xu Xiaomin , Xu Jin‐Jing , Wu Yuanqing , Salvi Richard , Yin Xindao , Zhao Fei , Chen Yu‐Chen , Cai Yuexin 
Published: January 2025

AbstractAge‐related hearing loss (ARHL) is considered one of the most common neurodegenerative disorders in the elderly; however, how it contributes to cognitive decline is poorly understood. With resting‐state functional magnetic resonance imaging from 66 individuals with ARHL and 54 healthy controls, group spatial independent component analyses, sliding window analyses, graph‐theory methods, multilayer networks, and correlation analyses were used to identify ARHL‐induced disturbances in static and dynamic functional network connectivity (sFNC/dFNC), alterations in global network switching and their links to cognitive performances. ARHL was associated with decreased sFNC/dFNC within the default mode network (DMN) and increased sFNC/dFNC between the DMN and central executive, salience (SN), and visual networks. The variability in dFNC between the DMN and auditory network (AUN) and between the SN and AUN was decreased in ARHL. The individuals with ARHL had lower network switching rates than controls among global network nodes, especially in the DMN. Some disturbances within DMN were associated with disrupted executive and memory performance. The prolonged loss of sensory information associated with ARHL‐induced compensatory within‐network segregations and between‐network integrations in the DMN might reduce network information processing and accelerate brain aging and cognitive decline.
Nonviral targeted mRNA delivery: principles, progresses, and challenges
Authors: He Xi , Li Guohong , Huang Letao , Shi Haixing , Zhong Sha , Zhao Siyu , Jiao Xiangyu , Xin Jinxiu , Yin Xiaoling , Liu Shengbin , He Zhongshan , Guo Mengran , Yang Chunli , Jin Zhaohui , Guo Jun , Song Xiangrong 
Published: January 2025

AbstractMessenger RNA (mRNA) therapeutics have garnered considerable attention due to their remarkable efficacy in the treatment of various diseases. The COVID‐19 mRNA vaccine and RSV mRNA vaccine have been approved on the market. Due to the inherent nuclease‐instability and negative charge of mRNA, delivery systems are developed to protect the mRNA from degradation and facilitate its crossing cell membrane to express functional proteins or peptides in the cytoplasm. However, the deficiency in transfection efficiency and targeted biological distribution are still the major challenges for the mRNA delivery systems. In this review, we first described the physiological barriers in the process of mRNA delivery and then discussed the design approach and recent advances in mRNA delivery systems with an emphasis on their tissue/cell‐targeted abilities. Finally, we pointed out the existing challenges and future directions with deep insights into the design of efficient mRNA delivery systems. We believe that a high‐precision targeted delivery system can greatly improve the therapeutic effects and bio‐safety of mRNA therapeutics and accelerate their clinical transformations. This review may provide a new direction for the design of mRNA delivery systems and serve as a useful guide for researchers who are looking for a suitable mRNA delivery system.
Clinicopathological features of Lynch syndrome pedigrees with MSH2 c.351G>A gene variant
Authors: Zhang Shuai , Fu Guanyu , Sun Gongping , Tang Yuanxin , Meng Jin , Wang Zhigang , Su Rongjun , Liu Wei , Li Xiaoxia 
Published: January 2025

AbstractBackgroundLynch syndrome (LS) is an autosomal‐dominant disorder that increases the risk of many cancers. To identify novel or rare pathogenic variants of MMR genes associated with LS, especially in Chinese pedigrees.MethodsOne four‐generation Chinese Han family from northeast China with 29 members was enrolled. Clinical diagnosis of LS was established in this family, according to Amsterdam II. The proband and some relatives of the family were subjected to immunohistochemical analysis of MMR protein, microsatellite instability (MSI) testing, whole‐exome sequencing, and Sanger sequencing.ResultsNine patients with 19 primary cancers were found in this family, with a wide spectrum of synchronous and metachronous cancers, including digestive, reproductive, respiratory, urinary, and other systems. In addition, one member of this family is found to have both thyroid and lung cancers, which have been reported only once in LS patients before but have not been considered extracolonic in the LS spectrum. The immunohistochemical analysis of the mother of the proband showed loss of MSH2 and MSH6 protein, and consistently, high microsatellite instability (MSI‐H) was confirmed in LS patients. Furthermore, whole‐exome sequencing identified a nonsense variant in MSH2, MSH2:NM_000251:c.351G > A(p.W117*), in all three tested LS patients (II‐1, III‐1, and III‐4), but not in healthy relatives IV‐1 in this family. This result is further verified by Sanger sequencing.ConclusionUncover a rare nonsense variant in MSH2 gene, which contributes to LS of this family. The clinicopathological characteristics of LS in this family include common simultaneous or heterogeneous multiple primary cancers, a broad tumor spectrum, and a younger age with the continuation of genetic algebra.
On the Use of Neural Networks in the Modeling of Yield Surfaces
Authors: Soare Stefan C. 
Published: January 2025

ABSTRACTThe classic constitutive model of metal plasticity employs the concept of yield surface to describe the strain‐stress response of metals. Yield surfaces are constructed as level sets of yield functions, which in turn are assumed to be homogeneous, smooth and convex. These properties ensure the mathematical consistency of the constitutive model while also facilitating the calibration of the yield function. The significant progress in computing hardware and software of the last two decades has opened new possibilities for research into general‐purpose yield functions that are capable of capturing with high accuracy the mechanical properties of sheet metal. Here we investigate the modeling capabilities of yield functions defined by homogeneous, smooth and convex neural networks (HSC‐NN). We find that small‐sized HSC‐NNs are capable of reproducing a wide range of convex shapes. This type of network is then ideally suited to data‐driven frameworks based on virtual testing or on interpolation of data from mechanical tests, being easy to deploy in finite element codes. HSC‐NNs are particularly adept at fitting aggregations of plane stress and out‐of‐plane data to build yield surface models accounting for 3D‐stress states. We use them here to bring new insights into a recent cup‐drawing experiment with aluminum alloy AA6016‐T4. Finite element simulations with both plane stress and 3D models show promising results. In particular, the overall simulation run times of the HSC‐NNs employed here are found to be comparable with those of conventional yield functions.
Childbirth Journey Through Virtual Reality: Pain, Anxiety and Birth Perception: A Randomized Controlled Trial
Authors: Boyuk Mervenur , Citak Bilgin Nevin 
Published: January 2025

ABSTRACTThis study determines video's effect on pregnant women's pain, anxiety, and perception of labor using virtual reality glasses during the active and transition phases of childbirth. This randomized controlled study was conducted with 60 pregnant women (30 in each group) admitted to the delivery room of a hospital. The data were collected by personal information form, visual comparison scale‐pain, visual comparison scale‐anxiety, and perception of birth scale. While there was no significant difference between the groups in terms of pre‐intervention pain measurement in the active and transition phases, post‐intervention pain measurement in the active and transition phases in the intervention group was found to be significantly lower than the control group. Anxiety measurement was also found to be significantly lower in the intervention group in the active and transition phases than in the control group after the intervention. It was determined that in the intervention group, anxiety measurements tended to decrease after the intervention compared to the pre‐intervention period, while in the control group, anxiety measurements tended to increase continuously in the active and transition phases. Perceptions of birth in the postpartum period were similar. The use of virtual reality during childbirth reduces pain and anxiety at birth but does not affect the perception of birth. The use of virtual reality interventions as a nonpharmacological method can be included in childbirth preparation training.Trial Registration: NCT05495009
Fatigue‐life prediction of glass fiber reinforced Polypropylene and Polyamides composite materials based on the three‐parameter Weibull distribution
Authors: Deng Mingxuan , Zeng Chenxi , Song Kedong , Ding Yanhuai 
Published: January 2025

AbstractAt present, there is limited literature available on the fatigue life estimation of glass fiber fabric‐reinforced thermoplastic polymer composites. This study performed constant amplitude fatigue testing to assess the fatigue life of twill‐woven glass fiber‐reinforced thermoplastic composites made from polypropylene (PP) and polyamide (PA) under four different stress levels (70%, 60%, 50%, and 40% of the ultimate tensile strength) with a stress ratio of 0.1. The fatigue life of the specimens was analyzed statistically using two‐parameter and three‐parameter Weibull distribution functions. Linear regression analysis results demonstrates a strong correlation between the independent and dependent variables in the two‐parameter Weibull analysis (correlation coefficient above 0.80), with an even better correlation observed in the three‐parameter analysis (correlation coefficient above 0.94). Based on the parameters derived from the Weibull distribution, the fatigue life of the laminates at varying survival rates has been evaluated. A P‐S‐N fatigue life prediction model has been developed from these results to account for different failure rates. Comparison with the tensile fatigue performance data of fiber‐reinforced polymer composites from the literature indicated that glass fiber‐reinforced thermoplastic composites exhibit excellent fatigue resistance.Highlights
The fatigue of twill‐weave glass fiber reinforced PA/PP was investigated.
The fatigue life was analyzed using three‐parameter Weibull distribution functions.
A fatigue life prediction model was established based on the Weibull distribution function.
The P‐S‐N fatigue life prediction model provides a reference for material design.
Nectin‐4 Expression in Prostatic Adenocarcinoma: An Immunohistochemical Study
Authors: Baraban Ezra G. , Vlachou Evangelia , Patel Sunil , Kates Max , Johnson Burles , Smith Armine , Shenderov Eugene , Sharma Shivang , Denmeade Samuel R. , Brame Alex , Han Misop , De Marzo Angelo M. , Matoso Andres , Hoffman‐Censits Jean 
Published: January 2025

ABSTRACTBackgroundThe Nectin‐4 directed antibody drug conjugate enfortumab vedotin (EV) has emerged as frontline systemic therapy in combination with immune checkpoint blockade for urothelial carcinoma (UC), capitalizing on the ubiquitous expression of this protein in UC. There is limited data available regarding expression of Nectin‐4 by immunohistochemistry in prostate cancer, but this is of interest as a substantial number of UC patients likely to receive EV have concomitant prostate cancer.MethodsNectin‐4 protein expression was evaluated by immunohistochemistry in tissue microarrays encompassing a cohort of 302 prostatic adenocarcinomas spanning Grade Groups 1–5. Intensity of expression was scored from 1 (weak) to 3 (intense staining readily apparent at low magnification). H‐scores were calculated by multiplying the percentage of cells staining by the intensity of expression.ResultsNectin‐4 expression was frequently observed in benign prostate tissue (86% of cases, mean H‐score of 40, median 20, interquartile range [IQR]: 10–60) and in prostatic adenocarcinoma (91% of cases, mean H‐score of 90, median 70, IQR: 20–150). Significant differences in Nectin‐4 expression among prostatic adenocarcinoma Grade Groups 1–5 were not observed. Across all prostatic adenocarcinomas evaluated, the mean Nectin‐4 H‐score of 90 was statistically significantly higher than the mean H‐score of 40 observed in benign prostate tissue (p < 0.001). Three of four prostatic ductal adenocarcinomas showed Nectin‐4 expression, with a median H‐score of 250 (IQR: 152–300).ConclusionsNectin‐4 protein expression is common in benign prostate tissue and prostatic adenocarcinoma. These findings provide a rationale for future studies investigating potential activity of EV in prostate cancer.
Population Pharmacokinetics and Pharmacodynamics of Sotalol Following Expedited Intravenous Loading in Patients With Atrial Arrhythmias
Authors: Yellepeddi Venkata K. , Ismail Mohamed , Bunch T. Jared , Deering Thomas F. , Holubkov Richard , Kennedy Robert , Mittal Suneet , Perez Marco , Piccini Jonathan P. , Pokharel Parash , Savona Salvatore , Verma Nishant , Steinberg Benjamin , Watt Kevin 
Published: January 2025

ABSTRACTSotalol, a class III antiarrhythmic agent, is used to maintain sinus rhythm in patients with atrial fibrillation or atrial flutter (AFIB/AFL). Despite its efficacy, sotalol's use is limited by its potential to cause life‐threatening ventricular arrhythmias due to QT interval prolongation. Traditionally, sotalol administration required hospitalization to monitor these risks. The FDA approval of intravenous (IV) sotalol for loading before oral maintenance aims to reduce hospitalization duration by facilitating an expedited loading dose, transitioning to oral maintenance therapy. This study evaluates the population pharmacokinetics (PK) and pharmacodynamics (PD) of sotalol using data from the Prospective Evaluation Analysis and Kinetics of IV Sotalol (PEAKS) Registry, which includes patients with atrial arrhythmias undergoing IV sotalol loading. A nonlinear mixed‐effect modeling approach was used to describe sotalol PK, considering covariates such as age, weight, sex, and renal function. The study also examined the correlation between sotalol plasma concentrations and corrected QT interval (QTc) prolongation. Sotalol PK after IV loading and two oral maintenance doses was adequately described by a two‐compartment model with first‐order elimination in patients with atrial arrhythmias. Weight and creatinine clearance (CrCl) were identified as covariates with significant influence on sotalol PK. A linear regression model adequately described the relationship between QTc and plasma sotalol levels (R2 = 0.27). The Monte Carlo simulations showed that the IV loading doses recommended in the prescribing information did not result in significant prolongation of QTc. The data from this study supports the current dosing recommendations of IV sotalol in patients with AFIB/AFL.
Experimental Evaluation of an Observer‐Based Controller for an Unmanned Aerial Vehicle in Reforestation Activities
Authors: Muñoz Gustavo , Abaunza Hernan , Lozoya Camilo , Castañeda Herman 
Published: January 2025

ABSTRACTReforestation is pivotal in mitigating climate change, preserving biodiversity, and safeguarding ecosystems. Precision reforestation implies efficiently using materials and human resources to conduct this intensive task. In this sense, using unmanned aerial vehicles (UAVs), also known as drones, improves the accuracy of dispensed seeds while increasing coverage and reducing labor. However, drone‐based reforestation still presents technological challenges that need to be addressed. An important challenge is the presence of disturbances during flights due to environmental conditions, primarily unexpected wind, and the unavoidable loss of mass presented by the vehicle caused by the dispensing task. This paper evaluates the use of an observer‐based controller to reject the particular disturbances caused by the sowing activity. Through meticulous experimentation and analysis, the study demonstrates the observer's adeptness in mitigating external disturbances, thereby enhancing the precision and stability of UAV operations. This technological advancement holds promise for diverse practical applications and has implications for environmental conservation efforts, particularly reforestation. The obtained experimental results confirm the viability of the proposed controller and observer framework, highlighting its potential to improve the robustness of environmental monitoring, conservation, and sustainable resource management practices.
Resource Allocation Techniques in Multibeam Satellites: Conventional Methods vs. AI/ML Approaches
Authors: Kashyap Shwet , Gupta Nisha 
Published: January 2025

ABSTRACTThis paper presents a comprehensive survey of advancements in resource allocation techniques within the realm of multibeam satellites, focusing specifically on four key areas related to payload beam hopping, along with allocations of power, bandwidth, and beamwidth. It provides a comprehensive examination of traditional approaches alongside the innovative adoption of artificial intelligence and machine learning (AI/ML) methods to tackle these obstacles. A comprehensive analysis is carried out to investigate the possible approaches to enhance the resource allocation efficiency further. While acknowledging the plethora of topics within the multibeam satellite domain, this study deliberately narrows its focus to these four fundamental aspects, providing a nuanced understanding of the evolving landscape in satellite communications.