bluuebunny/crossref_metadata_2025_split huggingface dataset:
Concordance Between Asthma Symptom Reports and Objective Lung Function, and Associations With Sleep Outcomes in Urban Children
Authors: Teape Daniella , Tanzer Joshua R. , Kopel Sheryl J. , Guzman Luis O. , Esteban Cynthia A. , Koinis‐Mitchell Daphne 
Published: January 2025

ABSTRACTObjectivesTo examine the extent to which asthma symptom concordance (ASC) or discordance (ASD) is associated with sleep outcomes in children with persistent asthma. Also, to investigate whether the association between ASC and sleep outcomes varies as a function of children's level of asthma control and severity.MethodsA retrospective data analysis of Project NAPS (Nocturnal Asthma and Performance in School), an observational study which examined asthma and sleep outcomes in children with persistent asthma. Measures of ASC and ASD were developed from daily self‐reported asthma symptoms and lung function measurements performed over 4 weeks. The extent to which ASC and ASD were associated with sleep efficiency, duration, and awakenings was evaluated. Concordance and discordance of asthma symptoms with sleep outcomes were examined as a function of the child's asthma severity and control.ResultsThose whose asthma symptom reports were in concordance with their lung function had longer sleep duration than children whose reports were discordant (difference = 15 min, Z = 2.61, p < 0.05), and more nighttime awakenings (difference = 0.6 awakenings, Z = 2.30, p < 0.05). Children with well‐controlled asthma had longer sleep duration (difference = 18 min, p < 0.0001).ConclusionThis study builds on the literature on asthma symptom recognition by adding an evaluation of how ASC relates to sleep outcomes. Findings suggest that concordance of asthma symptoms with lung function is associated with longer sleep duration and moderated by asthma control. ASC may be important to sleep duration, which has important implications for tailoring asthma management to optimize symptom concordance.
The Contribution and Perspectives of Proteomics to Epithelial Ovarian Cancer
Authors: Pei Jiayu , Qiu Haifeng , Wang Wenjia , Wang Yulu , Wang Min , Wang Dian , Li Jing , Qin Yanru 
Published: January 2025

ABSTRACTEpithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy which mainly consists of serous, mucinous, clear cell, and endometrioid subtypes. Due to the lack of classic symptoms at an early stage, EOC usually presented as advanced tumors with local and/or distant metastasis. Although a large portion of EOC was initially platinum‐sensitive, most patients would acquire resistance to common chemotherapeutic agents. These aforementioned issues lead to a challenge for clinical treatments and unsatisfying outcomes. Previous studies have demonstrated the genetic features of EOC are hard to target and the alterations at DNA and RNA levels are not fully represented at the protein expression profiles which made it more complex. In recent years, a panel of studies attempted to explore the key proteins involved in the development and progression of EOC using high‐throughput proteomic technologies. We herein summarized them to provide a full view of this topic.Trial Registration: ClinicalTrials.gov identifier: NCT046698990.
The Safety and Efficacy of Targeted Alpha Therapy, Ac‐225 Prostate‐Specific Membrane Antigen, in Patients With Metastatic Castration‐Resistant Prostate Cancer: A Systematic Review and Meta‐Analysis
Authors: Besiroglu Huseyin , Kadihasanoglu Mustafa 
Published: January 2025

ABSTRACTBackgroundMetastatic castration resistance prostate cancer (mCRPC) is a challenging disease with a significant burden of mortality and morbidity. Most of the patients attain resistance to the available treatments, necessitating further novel therapies in this clinical setting. Actinium 225 (225Ac) prostate‐specific membrane antigen (PSMA) radioligand therapy has emerged as a promising option and has been utilized for the last decade. Although a few meta‐analyses were performed on the efficacy and safety of 225Ac‐PSMA RLT in mCRPC patients, several current studies have been added to the literature since the latest meta‐analysis. We aimed to gather all individual studies to perform up‐to‐date meta‐analyses.MethodsWe searched the literature using Pubmed‐Medline, Web of Science, Elsevier‐Sceince Direct, and Cochrane‐Central databases. The data for any PSA decline, over 50% PSA decline, overall survival (OS), progression‐free survival (PFS), and toxicity profile were captured from the studies eligible for meta‐analysis. We utilized the random effect model to generate pooled estimates.ResultsThe sixteen eligible studies contained 1102 patients. Sixty‐three percent of patients achieved more than 50% PSA decline, while 82% had any PSA decline after the completion of therapy. The pooled mean OS and PFS were 12.72 months (9.52–15.91) and 11.02 months (6.88–15.15), respectively. The most common adverse event was xerostomia, with a pooled proportion of 84%. Grade ≥ 3 anemia, thrombocytopenia, leucopenia, and nephrotoxicity were encountered in 9%, 5%, 4%, and 4% of the patients.Conclusions225Ac‐PSMA RLT is an efficacious and safe treatment for mCRPC. Future well‐designed randomized controlled studies comparing 225Ac‐PSMA RLT with other approved therapeutic options would better comprehend the exact role of this therapy in the treatment sequence of mCRPC.
Dynamic Force Sensing for Continuous Scraping Towards Endometrium Repair Surgery
Authors: Li Jie , Yang Zhenguo , Li Dingjia , Wang Chongyang , Shen Ji , Han Chao , Xin Xing , Wang Weiqun , Tan Jichun , Liu Hao 
Published: January 2025

ABSTRACTBackgroundA surgical robot with force feedback can guarantee precise and gentle manipulation for endometrial repair, ensuring the effectiveness and safety of the manipulation. However, the design of force sensors for surgical robots is challenging due to the limited anatomical space and the requirement for continuous rotation.MethodsThis paper presents a novel force‐sensing surgical instrument for endometrial repair, including an inner scraping instrument and an outer force sensing sheath. It utilises the actuation force of the outer flexible sheath to predict real‐time tangential and normal forces of the scraping to the endometrium surface. Experiments are conducted to test its force sensing accuracy.ResultsThis paper simulated three types of operations with different tangential force thresholds and obtained the mean error with the standard deviation.DiscussionThis sensing method enables real‐time and accurate measurement of the dynamic scraping force between the rotating instrument and the tissue.
Effect of Activated GGBS on Remediation of a Clay Soil Contaminated With MTBE
Authors: Raeesi Estabragh Ali , Ansar Shourijeh Armin , Arabpour Javadi Akbar , Amini Mohadeseh 
Published: January 2025

ABSTRACTThis research investigates the efficacy of magnesium oxide (MgO) activated ground granulated blast furnace slag (GGBS) in remediating a clay soil contaminated with methyl tertiary butyl ether (MTBE) through a program of laboratory tests. The contamination was simulated by artificially introducing 2.25 mg MTBE per kg of soil in the laboratory. The GGBS activation process involved mixing GGBS and MgO in a ratio of 3:1. The resulting mixture was then added to both natural and contaminated soil samples at percentages of 0.25%, 0.5%, and 1.0%. The results demonstrated that the addition of the binder improved the strength of both natural and contaminated soil samples, with the magnitude of strength enhancement dependent on the percentage of the additive and the curing time. The results of leaching tests also revealed that the effectiveness of remediation of contaminated soil varied based on the percentage of the binder used and the duration of curing. Furthermore, scanning electron microscopy analysis indicated that the changes in soil properties and the effectiveness of remediation were attributed to chemical interaction between the soil minerals, the pollutant, and the binder. The results showed that the selected additive is suitable for the remediation of the contaminated soil.
Time‐Coordinated Motion Planning for Multiple Unmanned Vehicles Using Distributed Model Predictive Control and Sequential Convex Programming
Authors: Liu Xiaoming , Wu Fuchun , Deng Yunshan , Wang Ming , Xia Yuanqing 
Published: January 2025

ABSTRACTThis paper introduces an integrated approach for time‐coordinated motion planning of multiple unmanned vehicles using distributed model predictive control (DMPC) and sequential convex programming (SCP). This approach employs a unified framework that integrates trajectory planning and tracking into a single optimization problem, effectively expanding the domain of attraction for the MPC controller and addressing the challenge of time‐coordination among multiple vehicles. Non‐uniform discrete time scales are introduced to mitigate the dimensionality of the optimization problem, thereby enhancing computational efficiency. By combining the ability of DMPC to distribute computational efforts across multiple vehicles with the iterative convexification method of SCP, our approach efficiently handles the complexities of non‐linear optimization. Theoretical analysis has confirmed the feasibility and stability of the proposed method. Based on this approach, the time‐coordinated sequential convex programming‐based distributed model predictive control (TC‐SCP‐DMPC) algorithm is proposed. Numerical simulations are conducted to validate the effectiveness and efficiency of the proposed algorithm in achieving time‐coordinated control of multiple unmanned vehicles.
A Spiral Coverage Path Planning Algorithm for Nonomnidirectional Robots
Authors: Hou Taogang , Li Jiaxin , Pei Xuan , Wang Hao , Liu Tianhui 
Published: January 2025

ABSTRACTThe limited steering capabilities of nonomnidirectional robots introduce significant complexity into complete coverage tasks, often leading to increased path overlap or incomplete coverage of certain areas. Although recent research has made progress in optimizing coverage path planning, redundant coverage or omissions are still prone to occur in the target area to be covered. To address these persistent challenges, we propose a novel spiral coverage method. This approach not only conforms to the kinematic constraints of nonomnidirectional robots but also enhances coverage efficiency by dividing the target area into center and boundary regions and devising tailored coverage strategies for each. This method effectively reduces path redundancy and improves overall area coverage. Furthermore, we introduce a comprehensive metric that combines total path length and area coverage ratio to evaluate coverage efficiency, overcoming the limitations and computational complexity associated with existing metrics. For scenarios where maximizing the area coverage ratio is critical, we have developed a high‐coverage‐rate turning strategy that ensures 100% coverage. Through simulation tests in six representative areas and actual experiments on airport runways, our method shows an improvement of 0.238%–14.538% in coverage efficiency compared with parallel coverage method and 60.548%–76.339% compared with deep reinforcement learning‐based method. Additionally, implementing high‐coverage‐rate turning strategies improves the area coverage ratio by 2.021%–6.732%. In field experiments, our method reduces execution time by 1.61% compared with parallel coverage method. These results show that our method has a significant effect in improving coverage efficiency and achieving complete coverage goals.
Check dams on China's Loess Plateau: An overview
Authors: Chen Zuyu , Chen Shujing , Yin Penghai , Yu Shu , Zhang Naichang 
Published: January 2025

AbstractCheck dams are widely constructed on China's Loess Plateau, which had a total number of 58,776 by the end of 2019. Great achievements in check dam construction have been gained regarding the economic and environmental impacts. This study reviews the remarkable benefits of check dams on the land reclamation and environmental improvement on the Loess Plateau, and sediment reduction entering the Yellow River. However, the flood incidents on check dams have been frequently reported for the past decades, which has attracted more attention in the context of climate change and extreme rainfall events recently. Advances in the flood migration techniques achieved by the research group led by the first author have been highlighted to migrate the breach risk of check dams due to floods. The “family tree method” has been proposed to determine the survival status and critical rainfall threshold of each check dam in the complicated dam system. An updated dam breach flood evaluation framework and the corresponding numerical algorithm (i.e., DB‐IWHR) have been developed. Moreover, innovative types of water‐release facilities for check dams, including geobag stepped spillway and prestressed concrete cylinder pipe in the underlying conduit, have been proposed and developed. Finally, the perspectives concerning the check dam construction on the Loess Plateau have been put forward.
A Bayesian Joint Model of Multiple Nonlinear Longitudinal and Competing Risks Outcomes for Dynamic Prediction in Multiple Myeloma: Joint Estimation and Corrected Two‐Stage Approaches
Authors: Alvares Danilo , Barrett Jessica K. , Mercier François , Roumpanis Spyros , Yiu Sean , Castro Felipe , Schulze Jochen , Zhu Yajing 
Published: January 2025

ABSTRACTPredicting cancer‐associated clinical events is challenging in oncology. In Multiple Myeloma (MM), a cancer of plasma cells, disease progression is determined by changes in biomarkers, such as serum concentration of the paraprotein secreted by plasma cells (M‐protein). Therefore, the time‐dependent behavior of M‐protein and the transition across lines of therapy (LoT), which may be a consequence of disease progression, should be accounted for in statistical models to predict relevant clinical outcomes. Furthermore, it is important to understand the contribution of the patterns of longitudinal biomarkers, upon each LoT initiation, to time‐to‐death or time‐to‐next‐LoT. Motivated by these challenges, we propose a Bayesian joint model for trajectories of multiple longitudinal biomarkers, such as M‐protein, and the competing risks of death and transition to the next LoT. Additionally, we explore two estimation approaches for our joint model: simultaneous estimation of all parameters (joint estimation) and sequential estimation of parameters using a corrected two‐stage strategy aiming to reduce computational time. Our proposed model and estimation methods are applied to a retrospective cohort study from a real‐world database of patients diagnosed with MM in the US from January 2015 to February 2022. We split the data into training and test sets in order to validate the joint model using both estimation approaches and make dynamic predictions of times until clinical events of interest, informed by longitudinally measured biomarkers and baseline variables available up to the time of prediction.
Hierarchical Multi‐Label Classification With Gene‐Environment Interactions in Disease Modeling
Authors: Li Jingmao , Zhang Qingzhao , Ma Shuangge , Fang Kuangnan , Xu Yaqing 
Published: January 2025

ABSTRACTIn biomedical studies, gene‐environment (G‐E) interactions have been demonstrated to have important implications for analyzing disease outcomes beyond the main G and main E effects. Many approaches have been developed for G‐E interaction analysis, yielding important findings. However, hierarchical multi‐label classification, which provides insightful information on disease outcomes, remains unexplored in G‐E analysis literature. Moreover, unlabeled data are commonly observed in practical settings but omitted by many existing methods of hierarchical multi‐label classification. In this study, we consider a semi‐supervised scenario and develop a novel approach for the two‐layer hierarchical response with G‐E interactions. A two‐step penalized estimation is then proposed using an efficient expectation‐maximization (EM) algorithm. Simulation shows that it has superior performance in classification and feature selection. The analysis of The Cancer Genome Atlas (TCGA) data on lung cancer demonstrates the practical utility of the proposed method. Overall, this study can fill the important knowledge gap in G‐E interaction analysis by providing a widely applicable framework for hierarchical multi‐label classification of complex disease outcomes.
Direct Visualization of Temperature‐Induced Phase Separation of Completely Miscible Au─Pd Alloy by In Situ TEM
Authors: Roy Abhijit , Hettler Simon , Arenal Raul 
Published: January 2025

AbstractIn situ transmission electron microscopy (TEM) studies reveal key insights into the structural and chemical evolution of nanoparticles (NPs) under external stimuli like heating and biasing, which is critical for evaluating their suitability in chemical reactions and their tendency toward forming novel NP systems. In this study, starting from a core@shell Au nanotriangle (AuNT)@Pd nanostructure, the formation of a phase‐separated bi‐metallic Au─Pd NP system at high temperature is reported, despite the fact that Au and Pd are miscible in the entire composition and temperature range. In situ TEM heating of bare AuNT@Pd core@shell structures up to 1000 °C is performed. Between 400 and 800 °C, an initial alloy formation is observed. Notably, higher initial loading of Pd increases the melting temperature of the bi‐metallic system. However, the most important observation is the separation of the nanostructure into Au and Pd phases at temperatures above 850 °C for high Pd doping. The extent of Pd separation depends on the amount of initial Pd loading. A Janus Au─Pd nanostructure is formed at the end of the thermal treatments at 1000 °C. The phase‐separated NP is observed to be highly stable and could be clearly beneficial for various applications, particularly in catalytic processes.
Catalytic Cu2O/Cu Site Trades off the Coupling and Etching Reactions of Carbon Intermediates for CO2‐Assisted Graphene Synthesis
Authors: Zhu Yifan , Ning Congcong , Jin Yan , Yang Qian , Gong Xiangnan , Hu Baoshan 
Published: January 2025

AbstractIn the chemical vapor deposition (CVD) synthesis of graphene, the surficial chemical state of the metal substrate has exerted key roles in all elemental reaction steps determining the growth mechanism of graphene. Herein, a CO2‐participated annealing procedure is designed to construct catalytic Cu2O/Cu sites on Cu foil for the graphene CVD synthesis with CO2/CH4 as carbon sources. These Cu2O/Cu species can catalyze the CH4 decomposition and subsequent C─C coupling to form C2 intermediates for fast growth of monolayer hexagonal graphene domains with a diameter of ≈30 µm within 0.5 min. The graphene growth kinetics can be bidirectionally regulated merely with the variation of CO2 flow rate during annealing and growth stages, in association with the Cu+/Cu0 ratio, enabling simultaneous control over the size and shape of graphene domains. Density functional theory (DFT) calculations indicate that the catalytic Cu2O/Cu sites reduce the activation energy by ≈0.13 eV for the first dehydrogenation of CH4, allowing the growing rate of graphene driven by coupling of C2 intermediates faster than their etching rate by O‐containing *O and *OH species. The work provides novel insights into heterostructured nano‐catalyst consisting of zero valent metal and variably valent metal oxide that facilitate the controllable synthesis of graphene materials.
Linkage Microenvironment Modulation in Triazine‐Based Covalent Organic Frameworks for Enhanced Photocatalytic Hydrogen Peroxide Production
Authors: Liu Rongchen , Zhang Mengqi , Zhang Fulin , Zeng Bing , Li Xia , Guo Zhiguang , Lang Xianjun 
Published: January 2025

AbstractCovalent organic frameworks (COFs), known for the precise tunability of molecular structures, hold significant promise for photocatalytic hydrogen peroxide (H2O2) production. Herein, by systematically altering the quinoline (QN) linkages in triazine (TA)‐based COFs via the multi‐component reactions, six R‐QN‐TA‐COFs are synthesized with identical skeletons but different substituents. The fine‐tuning of the optoelectronic properties and local microenvironment of COFs is allowed, thereby optimizing charge separation and improving interactions with dissolved oxygen. Consequently, MeO‐QN‐TA‐COF is customized to achieve an impressive rate of H2O2 production up to 7384 µmol g⁻1 h⁻1 under an air atmosphere in water without any sacrificial agents, surpassing most of the reported COF photocatalysts. Its high stability is demonstrated through five consecutive recycling experiments and the characterization of the recovered COF. The reaction mechanism for the H2O2 production is further investigated using a suite of quenching experiments, in situ spectroscopic analysis, and theoretical calculations. The enhanced photocatalytic H2O2 production over MeO‐QN‐TA‐COF is through 2e⁻ oxygen reduction reaction and water oxidation reaction pathways. Overall, the crucial role of linkage microenvironment modulation in the design of COFs for solar‐driven effective photocatalytic H2O2 production.
Ultrahigh‐Power Carbon‐Based Supercapacitors through Order–Disorder Balance
Authors: Mu Dali , Lin He , Jiang Xinglin , Wang Zhihan , Wang Wentao , Zhang Haitao 
Published: January 2025

AbstractAlthough carbon‐based supercapacitors (SCs) hold the advantages of high‐power and large‐current characteristics, they are difficult to realize ultrahigh‐power density (> 200 kW kg−1) and maintain almost constant energy density at ultrahigh power. This limitation is mainly due to the difficulty in balancing the structural order related to the electrical conductivity of carbon materials and the structural disorder related to the pore structure. Herein, we design a novel super‐structured tubular carbon (SSTC) with a crosslinked porous conductive network to solve the structure order–disorder tradeoff effect in carbon materials. The direct conversion of CO2 in combination with appropriate annealing treatment tailored SSTC that exhibits considerably high conductivity (≈19300 S m−1) along with an optimal mesoporous structure. Consequently, SSTC‐based SCs show impressive ultrahigh‐power and high‐energy features as demonstrated from three aspects. First, SSTC‐1000‐based SCs with organic electrolytes deliver a maximum power density of 1138.8 kW kg−1. Second, the energy density retention is up to 84.6% as the power density increases from 0.7 to 280 kW kg−1. Third, SSTC‐1000‐based SC exhibits excellent ultrahigh‐power durability as demonstrated by 93.7% capacitance retention after 100000 cycles at 200 A g−1.