bluuebunny/crossref_metadata_2025_split huggingface dataset:
Autonomous self‐healing 3D micro‐suction adhesives for multi‐layered amphibious soft skin electronics
Authors: Lim Dohyun , Jeong Min Woo , Min Hyeongho , Lee Yeon Soo , Hwang Gui Won , Jeon Seung Hwan , Jung Kyu Ho , Vo Ngoc Thanh Phuong , Kim Min‐Seok , Kim Da Wan , Oh Jin Young , Pang Changhyun 
Published: July 2024

AbstractAutonomously self‐healing, reversible, and soft adhesive microarchitectures and structured electric elements could be important features in stable and versatile bioelectronic devices adhere to complex surfaces of the human body (rough, dry, wet, and vulnerable). In this study, we propose an autonomous self‐healing multi‐layered adhesive patch inspired by the octopus, which possess self‐healing and robust adhesion properties in dry/underwater conditions. To implement autonomously self‐healing octopus‐inspired architectures, a dynamic polymer reflow model based on structural and material design suggests criteria for three‐dimensional patterning self‐healing elastomers. In addition, self‐healing multi‐layered microstructures with different moduli endows efficient self‐healing ability, human‐friendly reversible bio‐adhesion, and stable mechanical deformability. Through programmed molecular behavior of microlevel hybrid multiscale architectures, the bioinspired adhesive patch exhibited robust adhesion against rough skin surface under both dry and underwater conditions while enabling autonomous adhesion restoring performance after damaged (over 95% healing efficiency under both conditions for 24 h at 30°C). Finally, we developed a self‐healing skin‐mountable adhesive electronics with repeated attachment and minimal skin irritation by laminating thin gold electrodes on octopus‐like structures. Based on the robust adhesion and intimate contact with skin, we successfully obtained reliable measurements during dynamic motion under dry, wet, and damaged conditions.image
Component leaching of water oxidation electrocatalysts
Authors: Chen Gao , Zhu Yanping , She Sixuan , Lin Zezhou , Sun Hainan , Huang Haitao 
Published: July 2024

AbstractMost electrocatalysts are known to experience structural change during the oxygen evolution reaction (OER) process. Considerable endeavors have been dedicated thus far to comprehending the catalytic process and uncovering the underlying mechanism. During the dynamic evolution of catalyst structure, component leaching of electrocatalysts is the most common phenomenon. This article offers a concise overview of recent findings and developments related to the leaching phenomena in the OER process in terms of fundamental understanding of leaching, advanced characterization techniques used to investigate leaching, leaching of inactive components, and leaching of active components. Leaching behaviors and the induced effects in various kinds of OER catalysts are discussed, progress in manipulating leaching amount/degree toward a tunable surface evolution is spotlighted, and finally, three representative types of structure transformations induced by leaching metastable species in OER condition are proposed. By understanding the process of component leaching in the OER, it will provide more guidance for the rational design of superior electrocatalysts.image
Seepage rate and uniformity of the stalk composite pipe for subsurface irrigation
Authors: Zai Songmei , Wei Huanyu , Liu Xuemei , Wu Feng , Liu Linbao , Liu Danting , Li Xin , Liu Weiye , Li Zaiyu 
Published: July 2024

AbstractAn orthogonal experiment with three factors and three levels was conducted to study the seepage rate and uniformity of stalk composite pipe (SCP) under subsurface SCP irrigation (SSI). Furthermore, to determine the best application mode for SSI, the pipeline length, irrigation volume and inner–outer diameter of the SCP were considered at a 0.4 m working pressure. The three levels corresponding to each factor were 20, 40 and 60 m; 30, 45 and 60 L m⁻¹; and 28–60, 40–80 and 50–100 mm, respectively. The results indicated that the seepage rate gradually decreased with increasing pipeline length. The pattern of the change in the seepage rate with irrigation volume was not obvious. There was a positive correlation between the seepage rate and the inner–outer diameter of the SCP. The irrigation uniformity coefficient, which was calculated based on the width of the surface wetting front, gradually decreased with increasing pipeline length. The impact patterns of irrigation volume and inner–outer diameter on irrigation uniformity were ambiguous. The seepage rate reached its maximum at the pipeline length, irrigation volume and inner–outer diameter, which were 20 m, 30 L m⁻¹ and 50–100 mm, respectively. There was the highest irrigation uniformity, with a pipeline length, irrigation volume and inner–outer diameter of the SCP of 20 m, 60 L m⁻¹ and 40–80 mm, respectively.
Delineation of gastrointestinal tumors biopsies using a fluorescence lifetime imaging optical fiber probe
Authors: Suraci D. , Baria E. , Tirloni L. , Lagarto J. L. , Buccianti S. , Agostini C. , Pillozzi S. , Antonuzzo L. , Taddei A. , Cicchi R. 
Published: July 2024

AbstractAutofluorescence spectroscopy has emerged in recent years as a powerful tool to report label‐free contrast between normal and diseased tissues, both in vivo and ex‐vivo. We report the application of an instrument employing an optical fiber probe and capable of performing real‐time autofluorescence lifetime imaging at a macroscopic scale, under bright background conditions. We validate and demonstrate the practicality of this technology to discriminate healthy against neoplastic tissue in freshly excised tumor biopsies. The capability of delineating tumor margins through processing the fluorescence decays in the phasors domain was demonstrated on four different types of cancer, highlighting the broad range of potential clinical applications for the proposed approach. The presented results suggest that our autofluorescence lifetime imaging probe, together with phasor analysis, can offer a real‐time tool to observe lifetime contrast on tissues and, thus, is a suitable candidate for improving in situ tissue diagnostics during surgery.
Firms’ financing and debt maturity choices: An empirical analysis from the perspective of asset value dynamics
Authors: Fu Richard , Wedge Lei 
Published: July 2024

AbstractWe examine empirically the relationship between the dynamics of firm value and their financing and debt maturity choices. Theoretical studies show that the actual drift of firm value is a key determinant of firms’ leverage and debt maturity by incorporating the conflicts between undiversified insiders (managers) and well‐diversified outside investors. We empirically analyze firms’ incremental leverage and debt maturity choice important determinants of firms’ leverage and debt maturity, we find that the drift, or the expected return of total assets, does affect the firms’ choices of incremental leverage and debt maturity, as predicted by theoretical studies. Our results provide the evidence that the divergence of interests between undiversified managers and well‐diversified shareholders has significant impact on firms’ financing policies that are generally controlled by managers, and the resulting leverage and maturity choices may deviate from maximizing shareholders’ value.
Limited correlation between physical performance and patient‐reported outcomes at 1‐year follow‐up after anterior cruciate ligament reconstruction
Authors: Nielsen Torsten Grønbech , Dalgas Ulrik , Lind Martin 
Published: July 2024

AbstractPurposeThe majority of anterior cruciate ligament reconstruction (ACLr) patients wish to return to sport. Clinical evaluations after ACLr often do not include physical testing, making it difficult to determine the patient's readiness to return to sport. Thus, it would be helpful to identify easily assessable factors associated with physical function in ACLr patients that could inform planning of patients' return to sport. This study sought to evaluate the associations between physical test performance in ACLr patients and known ACL injury risk factors, knee laxity and patient‐reported outcomes at 1‐year follow‐up.MethodsThe cohort included isolated primary ACLr patients operated between 2009 and 2014. Patients were invited to a 1‐year visit to clarify their readiness to return to sport. A test battery was performed, including clinical evaluation, patient‐reported outcomes and three physical tests, from which the Leg Symmetry Index (LSI) was calculated. Multivariate regression analyses were performed for each of the physical tests, including known risk factors, clinical outcomes and patient‐reported outcomes. Laxity <3 mm, pivot shift = 0, Knee Injury and Osteoarthritis Outcome Score (KOOS) sport >75, International Knee Documentation Committee (IKDC) >75.9, and Single Assessment Numeric Evaluation (SANE) >92.7 were applied as cut‐off values for good versus poor status.ResultsA total of 480 ACLr patients were included in the study. Laxity <3 mm had a negative impact on the single‐hop LSI, whereas a pivot shift = 0 or IKDC >75.9 had a positive impact on the single‐hop LSI. Age <20, a pivot shift grade of 0 and KOOSsport >75 were positively associated with the triple‐hop LSI. Finally, age <20 and IKDC >75.9 were positively associated with the leg extension strength LSI.ConclusionsAge, sagittal laxity, pivot shift and patient‐reported outcomes were associated with physical test performance 1 year after ACLr. However, the associations were not completely uniform and strong, so information on age, sagittal laxity, pivot shift and patient‐reported outcomes cannot replace a return‐to‐sport functional test battery in determining when it is safe to return to sport after ACLr.Level of EvidenceLevel III.
Vitality at Play: Unraveling the Fundamental Link between Curiosity and Creativity
Authors: Ma Jie (Yonas) , Zhang Haoran , Tong Zhaohui 
Published: July 2024

ABSTRACTPast research holds that curiosity motivates creativity via two primary mechanisms—exploration and absorption. We propose that vitality is a more fundamental mechanism integrating them. According to the self‐determination theory, curiosity fuels vitality as it aligns with the natural inclination toward autonomy, competence, and relatedness. It is through enhanced vitality that curiosity further leads to exploration and absorption, which altogether lead to higher creativity. Considering that curiosity varies daily, we adopted a daily diary design over 10 consecutive workdays and tested the proposed effects at the within‐person level. The results confirmed that daily curiosity promotes creativity through elevated daily vitality and daily exploration and absorption. More importantly, when accounting for the effect of daily vitality, the mediating effect of exploration and absorption was no longer significant. The findings thus highlight vitality as a more fundamental mechanism responsible for the positive effect of curiosity on creativity, providing a refined understanding of how curiosity fuels creativity.
Kinetics and mechanisms of thermal deterioration in silver carp (Hypophthalmichtys molitrix) surimi gel quality under high‐temperature sterilization
Authors: Wu Wenmin , Gao Pei , Jiang Qixing , Yang Fang , Yu Dawei , Yu Peipei , Xia Wenshui , Yu Dongxing 
Published: July 2024

AbstractBACKGROUNDThe gelation properties of surimi gel under various high temperatures (115, 118, and 121 °C) and sterilization intensities (F0 values of 3–7 min) were systematically investigated. A kinetic model detailed quality changes during heat treatment through mathematical analysis, elucidating mechanisms for gel quality degradation.RESULTSIncreased sterilization intensity significantly reduced the quality characteristics of surimi gel. Compared to the gel without sterilization treatment, when the sterilization intensity was increased to 7 min, the gel strength of the groups treated at 115 °C, 118 °C, and 121 °C decreased by 68.35%, 51.4%, and 51.71%, respectively, and the water‐holding capacity decreased by 24.87%, 16.85%, and 22.5%, respectively. The hardness, chewiness, and whiteness of the gel also significantly decreased, and the changes in these indicators all conformed to a first‐order kinetic model. Activation energy of 291.52 kJ mol−1 highlighted gel strength as the least heat‐resistant. At equivalent sterilization intensities, 115 °C exhibited the poorest gel quality, followed by 121 °C, with 118 °C showing relatively better gel quality. Increased T22 and decreased PT22 suggested heightened water mobility and transition of immobilized water within the gel into free water. Protein degradation, weakened disulfide bonds and hydrophobic interaction, and protein conformation changes collectively led to a rough and incoherent gel network structure with large fissures, as verified by the results of scanning electron microscopy. Correlation analysis indicated potential for precise control over surimi gel quality by modulating physicochemical attributes.CONCLUSIONThe outcomes may be beneficial to improve the production and quality control of ready‐to‐eat surimi‐based products. © 2024 Society of Chemical Industry.
Association of Vestibular Disorders and Cognitive Function: A Systematic Review
Authors: Li Jiongke , Xu Xianpeng , Deng Xinxing , Li Sha , Guo Tao , Xie Hui 
Published: July 2024

ObjectivesThe purpose of this study is to consolidate and condense the available evidence about the potential association between vestibular diseases and cognitive impairment.Data Sources and MethodsA systematic search was conducted on four English databases (PubMed, Embase, Web of Science, Cochrane Library) from the time of library construction to March 2024. The study incorporated various keywords such as “vestibular disorders,” “vertigo,” “dizziness,” “Meniere's disease,” “benign paroxysmal positional vertigo,” “vestibular migraine,” “vestibular neuritis,” “labyrinthitis,” “bilateral vestibular disease,” as well as “cognitive function” and “cognitive dysfunction.” A qualitative review was conducted to look for and assess pertinent studies.ResultsA total of 45 publications were incorporated, encompassing prevalent vestibular disorders, mostly targeting individuals in the middle‐aged and older demographic. The findings indicate that individuals with vestibular disorders experience varying levels of cognitive impairment, which is evident in different aspects, with visuospatial cognitive deficits being more prominent. Furthermore, patients with chronic vestibular syndromes are more prone to cognitive dysfunction. Lastly, the hippocampus plays a crucial role in the intricate vestibular neural network.ConclusionThe findings of this comprehensive review indicate that vestibular disorders can result in impairments across various aspects of cognitive functioning, particularly in visuospatial cognition. The underlying mechanism may be associated with a decrease in the size of the hippocampus. Individuals suffering from chronic vestibular dysfunction exhibit a higher likelihood of experiencing cognitive deficits.Level of EvidenceNA Laryngoscope, 134:4858–4872, 2024
Physics‐guided self‐supervised learning for retrospective T1 and T2 mapping from conventional weighted brain MRI: Technical developments and initial validation in glioblastoma
Authors: Qiu Shihan , Wang Lixia , Sati Pascal , Christodoulou Anthony G. , Xie Yibin , Li Debiao 
Published: July 2024

AbstractPurposeTo develop a self‐supervised learning method to retrospectively estimate T1 and T2 values from clinical weighted MRI.MethodsA self‐supervised learning approach was constructed to estimate T1, T2, and proton density maps from conventional T1‐ and T2‐weighted images. MR physics models were employed to regenerate the weighted images from the network outputs, and the network was optimized based on loss calculated between the synthesized and input weighted images, alongside additional constraints based on prior information. The method was evaluated on healthy volunteer data, with conventional mapping as references. The reproducibility was examined on two 3.0T scanners. Performance in tumor characterization was inspected by applying the method to a public glioblastoma dataset.ResultsFor T1 and T2 estimation from three weighted images (T1 MPRAGE, T1 gradient echo sequences, and T2 turbo spin echo), the deep learning method achieved global voxel‐wise error ≤9% in brain parenchyma and regional error ≤12.2% in six types of brain tissues. The regional measurements obtained from two scanners showed mean differences ≤2.4% and correlation coefficients >0.98, demonstrating excellent reproducibility. In the 50 glioblastoma patients, the retrospective quantification results were in line with literature reports from prospective methods, and the T2 values were found to be higher in tumor regions, with sensitivity of 0.90 and specificity of 0.92 in a voxel‐wise classification task between normal and abnormal regions.ConclusionThe self‐supervised learning method is promising for retrospective T1 and T2 quantification from clinical MR images, with the potential to improve the availability of quantitative MRI and facilitate brain tumor characterization.
On a fair and risk‐averse urban air mobility resource allocation problem under demand and capacity uncertainties
Authors: Sun Luying , Deng Haoyun , Wei Peng , Xie Weijun 
Published: July 2024

AbstractUrban air mobility (UAM) is an emerging air transportation mode to alleviate the ground traffic burden and achieve zero direct aviation emissions. Due to the potential economic scaling effects, the UAM traffic flow is expected to increase dramatically once implemented, and its market can be substantially large. To be prepared for the era of UAM, we study the fair and risk‐averse urban air mobility resource allocation model (FairUAM) under passenger demand and airspace capacity uncertainties for fair, safe, and efficient aircraft operations. FairUAM is a two‐stage model, where the first stage is the aircraft resource allocation, and the second stage is to fairly and efficiently assign the ground and airspace delays to each aircraft provided the realization of random airspace capacities and passenger demand. We show that FairUAM is NP‐hard even when there is no delay assignment decision or no aircraft allocation decision. Thus, we recast FairUAM as a mixed‐integer linear program (MILP) and explore model properties and strengthen the model formulation by developing multiple families of valid inequalities. The stronger formulation allows us to develop a customized exact decomposition algorithm with both benders and L‐shaped cuts, which significantly outperforms the off‐the‐shelf solvers. Finally, we numerically demonstrate the effectiveness of the proposed method and draw managerial insights when applying FairUAM to a real‐world network.
Approximation‐based implicit integration algorithm for the Simo‐Miehe model of finite‐strain inelasticity
Authors: Shutov A.V. , Ufimtsev K.P. 
Published: July 2024

AbstractWe propose a simple, efficient, and reliable procedure for implicit time stepping, regarding a special case of the viscoplasticity model proposed by Simo and Miehe (1992). The kinematics of this popular model is based on the multiplicative decomposition of the deformation gradient tensor, allowing for a combination of Newtonian viscosity and arbitrary isotropic hyperelasticity. The algorithm is based on approximation of precomputed solutions. Both Lagrangian and Eulerian versions of the algorithm with equivalent properties are available. The proposed numerical scheme is non‐iterative, unconditionally stable, and first order accurate. Moreover, the integration algorithm strictly preserves the inelastic incompressibility constraint, symmetry, positive definiteness, and w‐invariance. The accuracy of stress calculations is verified in a series of numerical tests, including non‐proportional loading and large strain increments. In terms of stress calculation accuracy, the proposed algorithm is equivalent to the implicit Euler method with strict inelastic incompressibility. The algorithm is implemented into MSC.MARC and a demonstration initial‐boundary value problem is solved.
Relating caregiver experiences to personalized “push” content in mobile applications among caregivers of pediatric patients with oncology conditions
Authors: Zhong Jiaqiao , Zhang Zaiyu , Zhao Zhenzhen , Peng Liang , Zhang Yunlong , Zhang Bao , Zhai Xuan , Wu Yuxin 
Published: July 2024

AbstractObjectiveWith the evolution of data algorithms and personalized push systems in mobile applications, patients who have searched for disease‐related information may repeatedly receive similar content on app homepages or through notifications. This study aims to assess the influence of health‐related content delivered through mobile applications on the anxiety and depression levels of caregivers of pediatric oncology patients.MethodsA survey consisting of 16 questions was conducted among 91 caregivers of pediatric oncology patients at the Children's Hospital affiliated with Chongqing Medical University. The questionnaire was designed by oncologists and the Hospital Anxiety and Depression Scale was used to assess the caregivers’ psychological states.ResultsThe study found that 31.5% of caregivers exhibited borderline anxiety symptoms, while 20.2% displayed borderline depression symptoms. Caregivers who noticed changes in homepage recommendations reported higher levels of anxiety (p = .004) and depression (p = .034). Additionally, 50.6% occasionally felt anxious or uneasy due to personalized notifications and 19.1% frequently felt this way. Moreover, 53.9% of the caregivers reported a negative impact on their emotions or daily life.SignificancePersonalized push notifications related to disease information in mobile applications can impose a significant psychological burden on patients and their caregivers. Mobile application developers and healthcare providers must strengthen their support in the digital health domain to enhance the emotional well‐being of cancer patients and their caregivers.
Enhancing the electrochemical properties of biopolymer composites using starch‐graphene nanoplatelets
Authors: Rahmat Noor Fadhilah , Sajab Mohd Shaiful , Afdzaluddin Atiqah Mohd , Chia Chin Hua , Ding Gongtao 
Published: July 2024

AbstractThe study presents the ideal distribution of graphene nanoplatelets (GNP) within the thermoplastic starch (TPS) matrix significantly elevated the thermal and electrical conductivities, as well as the electrochemical efficiency of the biocomposites. Additionally, the incorporation of GNP resulted in an increased thermal stability for the TPS, as indicated by the elevated temperatures required for maximum degradation. The biocomposites exhibited a self‐aligned layered structure, creating conductive pathways and enhancing electron conduction. An electrical conductivity increased as the concentration of GNP increased, with the highest conductivity observed on the top and bottom surface with the value of 4.23 × 10−7 S/m and 3.92 × 10−6 S/m when 12 wt% of GNP was added. The presence of hydroxyl groups in TPS facilitated the formation of hydrogen bonds with GNP, preventing GNP from stacking and forming a more uniform conductive network within the film. The addition of 15 wt% GNP also improved the capacitive performance of the TPS matrix, as evidenced by higher current responses and larger quasi‐rectangular areas in the cyclic voltammetry curves compared to neat TPS. The Nyquist plots which are illustrated impedance data showed that the TPS film with 12 wt% GNP exhibits the smallest semicircle, indicating the highest conductivity which is suggested that GNP improves charge transfer compared to pure TPS.Highlights
Optimal dispersion of GNP enhanced the biocomposite's properties.
The electrical conductivity increases with the GNP content until 12 wt%.
TPS/GNP self‐aligned layered improved conduction and capacitive behavior.
GNP improved thermal stability by restricting polymer chain movement.
Electrochemical impedance shows improved properties of TPS/GNP.