bluuebunny/crossref_metadata_2025_split huggingface dataset:
In silico simulation of hepatic arteries: An open‐source algorithm for efficient synthetic data generation
Authors: Whitehead Joseph F. , Laeseke Paul F. , Periyasamy Sarvesh , Speidel Michael A. , Wagner Martin G. 
Published: March 2023

AbstractBackgroundIn silico testing of novel image reconstruction and quantitative algorithms designed for interventional imaging requires realistic high‐resolution modeling of arterial trees with contrast dynamics. Furthermore, data synthesis for training of deep learning algorithms requires that an arterial tree generation algorithm be computationally efficient and sufficiently random.PurposeThe purpose of this paper is to provide a method for anatomically and physiologically motivated, computationally efficient, random hepatic arterial tree generation.MethodsThe vessel generation algorithm uses a constrained constructive optimization approach with a volume minimization‐based cost function. The optimization is constrained by the Couinaud liver classification system to assure a main feeding artery to each Couinaud segment. An intersection check is included to guarantee non‐intersecting vasculature and cubic polynomial fits are used to optimize bifurcation angles and to generate smoothly curved segments. Furthermore, an approach to simulate contrast dynamics and respiratory and cardiac motion is also presented.Results: The proposed algorithm can generate a synthetic hepatic arterial tree with 40 000 branches in 11 s. The high‐resolution arterial trees have realistic morphological features such as branching angles (MAD with Murray's law ), radii (median Murray deviation ), and smoothly curved, non‐intersecting vessels. Furthermore, the algorithm assures a main feeding artery to each Couinaud segment and is random (variability = 0.98 ± 0.01).ConclusionsThis method facilitates the generation of large datasets of high‐resolution, unique hepatic angiograms for the training of deep learning algorithms and initial testing of novel 3D reconstruction and quantitative algorithms designed for interventional imaging.
Multiscale optimal design method of acoustic metamaterials using topology optimization
Authors: Kurioka Hiromasa , Nakayama Nari , Furuta Kozo , Noguchi Yuki , Izui Kazuhiro , Yamada Takayuki , Nishiwaki Shinji 
Published: March 2023

AbstractAcoustic anisotropic metamaterials are known for its potential of applications to various acoustic devices, such as hyperlens and waveguides. Anisotropic metamaterial typically has a periodic structure constituted of unit cells, and exhibits highly anisotropic wave propagation based on local resonance induced by its periodic medium. In previous works, design methods for anisotropic metamaterials which shows unusual wave propagation properties have been proposed, though since metamaterials comprised of only a single type of unit cell were in interest, the macroscopic wave propagation properties that could be obtained were limited. Therefore, in the present work, we propose a design method for acoustic structures which are composed of several unit cells, in order to realize waveguides that navigate acoustic waves and achieve complex wave propagation overall. First, we introduce the high‐frequency homogenization method, which is capable of evaluating the macroscopic property of periodic structures based on local resonance. We construct a multiscale optimal design method by formulating the macro‐scale optimization problem for obtaining the properties required for different unit cells in order to realize the waveguide, along with the micro‐scale optimization problem for designing each unit cell based on topology optimization. Numerical examples are introduced to demonstrate the validity of our proposed method.
Psychosocial impact of COVID‐19 on caregivers and adolescents and young adult survivors of childhood cancer
Authors: King‐Dowling Sara , Hammer Shannon N. , Faust Haley , Madden Rebecca , Drake Sarah , Ahmed Annisa , Albee May , Deatrick Janet A. , Daniel Lauren , Pai Ahna , Freyer David , Psihogios Alexandra M. , Barakat Lamia P. , Schwartz Lisa A. 
Published: March 2023

AbstractBackgroundCaregivers and adolescents and young adult (AYA) cancer survivors may be at greater psychosocial risk from the COVID‐19 pandemic than healthy peers due to complex and traumatic medical histories. This study describes COVID‐19‐related event exposures, impact, and distress among a large sample of caregivers and AYA cancer survivors and the relationship of these variables to demographic and cancer characteristics.ProcedureFrom May 2020 to December 2021, 422 caregivers and 531 AYA survivors completed the COVID‐19 Exposures and Family Impact Survey (CEFIS) and CEFIS‐AYA, respectively. Total COVID‐19‐related exposures, average COVID‐19‐related impact, and COVID‐19‐related distress were calculated. Conventional content analysis was used to analyze free‐text responses about the negative and positive effects of COVID‐19.ResultsCaregivers and AYA reported an average of 7.4–7.8 COVID‐19 exposures to pandemic‐related events and a slightly negative impact of COVID‐19 across psychosocial domains, with some positive impacts reported. COVID‐19‐related distress was moderate and clinically meaningful (4.9–5.2/10) for AYA and caregivers. Racial and ethnically minoritized AYA and caregivers reported higher COVID‐19‐related distress than non‐Hispanic white caregivers. For AYA, distress was also higher among female, college‐age (18–22 years), and long‐term survivors compared with males, younger AYA, White and those recently off treatment. CEFIS outcomes remained relatively stable over time.ConclusionsCOVID‐19 had a significant and consistent negative impact on caregivers and AYA survivors. Racial and ethnically minoritized families and female, college‐age, and long‐term AYA survivors may require additional psychosocial support. Assessing for COVID‐19 impact and distress is important in pediatric oncology to evaluate adjustment and plan targeted interventions.
An adaptive activation energy method for predicting resin curing behavior and thermal overshoot in thick CFRP plates
Authors: Chen Qisen , Ye Yaoyao , Li Hao , Zhang Fan , Xu Qiang , Song Xiaowen , Ke Yinglin 
Published: March 2023

AbstractThis study concerns the importance of curing kinetic models for the prediction accuracy of the thermal overshoot in the curing process of thick polymeric composite plates. An adaptive activation energy (AAE) method was proposed to determine an accurate curing kinetic model with adaptive activation energy (CK‐AAE). Then the temperature field model of the autoclave curing process was established based on the CK‐AAE equations for predicting the curing thermal overshoot of thick polymer‐matrix composite plates. The prediction accuracy of the curing degree using the CK‐AAE model was improved greatly compared with the common curing kinetic models. And the predicted curing thermal overshoot of thick polymeric composite plates yielded good agreement with the measured results from the autoclave curing experiments. Moreover, it was observed that the curing thermal overshoot was more susceptible to the laminate thickness and less affected by the stacking sequence.
Organocatalytic synthesis of sugar‐derived polyesters via ring‐opening alternating copolymerization of anhydrosugar oxetane and anhydrides
Authors: Zheng Lanlan , Feng Jiabing , Xie Hongyan , Xu Zhiguang 
Published: March 2023

AbstractIn this work, the organocatalytic strategy for the ring‐opening copolymerization (ROCOP) of 3,5‐anhydro‐D‐xylose oxetane 1 and various anhydrides has been demonstrated by use of phosphazene base (P1) and triethyl borane (TEB). The ROCOP proceeds efficiently to generate sugar‐derived polyesters with perfectly alternating sequence distribution, controlled molar masses, and moderate dispersity. These polyesters show good thermal stability (Tmax > 320°C) and adjustable glass transition temperatures (Tg 70 ~ 110°C) with the variation of anhydrides. This work provides efficient organocatalyst for the selective copolymerization for biomass‐derived degradable polyesters.
Evaluating blast wave overpressure from non‐spherical charges using time of arrival from high‐speed video
Authors: Williams Kelly , Johnson Catherine E. 
Published: March 2023

AbstractScaled distance is used to predict blast wave overpressure surrounding the detonation of a known mass of explosive under the assumption that the charge geometry is spherical. Altering charge geometry from spherical overdrives regions of the blast wave resulting in areas of higher overpressures than predicted by scaled distance calculations. Empirical data can be used to scale the blast wave overpressure to cylindrical charges, but available overpressure data for more complex geometries is not available in published literature. In the present study the time of arrival of the blast wave was measured from high‐speed video and the Rankine‐Hugoniot relationship used to measure blast wave overpressure for varied explosive geometries. The radial overpressure of prismatic charges with cross‐sectional shapes of triangle, rectangle, and 5‐point star isotropic were compared to the radially isotropic overpressure distribution produced by a cylindrical explosive charge. The rectangle produced the highest overpressure measuring 3.5 times that of the cylinder while the triangular charge had the greatest presented surface area and was only overdriven 3.0 times. From the high‐speed video the fireball of detonation products surrounding the star appears significantly overdriven from the internal angle, but this orientation was underdriven at 2.0 meters. The blast wave overpressure downstream from the outside corners of the rectangular and triangular prismatic charges were similar to that of the cylinder at 1.5 meters but trended higher at increasing distance.
Distributed bipartite consensus of linear multi‐agent systems based on periodic event‐triggered mechanism
Authors: Cai Yuliang , Wang Yingchun , Li Weihua , Sun Shaoxin , Liu Chunyang , He Qiang 
Published: March 2023

AbstractThis article considers the bipartite event‐triggered consensus problem for linear multi‐agent systems based on periodic sampling data. The cooperative and antagonistic communications are considered at the same time. The bipartite time‐triggered consensus with maximum sampling period is first addressed. Then, the bipartite periodic event‐triggered control strategy with two event‐triggered mechanisms is designed. Compared with previous control schemes, the proposed control method can realize intermittent communication, intermittent controller update and intermittent triggering condition monitoring. Moreover, considering the constraint of limited data rate, a quantized consensus with both state and input quantization is taken into account. The Zeno behavior is completely avoided due to the fact that the sampling time can be taken as the lower bound of trigger interval. Finally, three illustrative examples are provided to demonstrate the effectiveness of the proposed methods.
A bright side of adversity? A systematic review on posttraumatic growth among refugees
Authors: Von Arcosy Cheyenne , Padilha Mariana , Mello Gabriel Lorran , Vilete Liliane , Luz Mariana Pires , Mendlowicz Mauro , Serpa Octavio Domont , Berger William 
Published: March 2023

AbstractUntil the third trimester of 2022, 103 million people worldwide had been forced to leave their homes and become refugees. The traumatic experiences of refugees can lead not only to mental disorders but also to Posttraumatic Growth (PTG). (1) To find the variables positively and negatively associated with PTG in refugees. (2) To investigate the relationship between PTG and Posttraumatic Stress Disorder (PTSD) among refugees. We systematically searched Medline, Web of Knowledge, PsycInfo, Scopus, and PTSD Pubs for studies about PTG in refugees. Epidemiological studies using the Posttraumatic Growth Inventory. Grey literature, reviews, and meta‐analysis. Risk of bias was assessed by the ‘The Joanna Briggs Institute Prevalence Critical Appraisal Tool’. We included 24 studies investigating PTG and associated factors. The factors positively associated with PTG were social support, regular migration status, religiosity, satisfaction with life, time, and problem‐focussed and emotion‐focussed coping. The factors negatively associated with PTG were: irregular migration status, emotional suppression, and avoidance coping. Studies on PTG in refugees are essential to finding new ways to address mental health in this field. Few studies offered risk of bias, particularly regarding the sample selection. We conclude that PTG may be influenced by many factors and it would be of importance that the centres for support, as well as public policies, took that into account to foster the outcome and not only to focus on disease. This study was partially supported by CAPES and registered on PROSPERO (CRD42020215607).
Highly Occupied Surface States at Deuterium‐Grown Boron‐Doped Diamond Interfaces for Efficient Photoelectrochemistry
Authors: Sobaszek Michał , Brzhezinskaya Maria , Olejnik Adrian , Mortet Vincent , Alam Mahebub , Sawczak Mirosław , Ficek Mateusz , Gazda Maria , Weiss Zdeněk , Bogdanowicz Robert 
Published: March 2023

AbstractPolycrystalline boron‐doped diamond is a promising material for high‐power aqueous electrochemical applications in bioanalytics, catalysis, and energy storage. The chemical vapor deposition (CVD) process of diamond formation and doping is totally diversified by using high kinetic energies of deuterium substituting habitually applied hydrogen. The high concentration of deuterium in plasma induces atomic arrangements and steric hindrance during synthesis reactions, which in consequence leads to a preferential (111) texture and more effective boron incorporation into the lattice, reaching a one order of magnitude higher density of charge carriers. This provides the surface reconstruction impacting surficial populations of CC dimers, CH, CO groups, and COOH termination along with enhanced kinetics of their abstraction, as revealed by high‐resolution core‐level spectroscopies. A series of local densities of states were computed, showing a rich set of highly occupied and localized surface states for samples deposited in deuterium, negating the connotations of band bending. The introduction of enhanced incorporation of boron into (111) facet of diamond leads to the manifestation of surface electronic states below the Fermi level and above the bulk valence band edge. This unique electronic band structure affects the charge transfer kinetics, electron affinity, and diffusion field geometry critical for efficient electrolysis, electrocatalysis, and photoelectrochemistry.
Energy Storage Application of Conducting Polymers Featuring Dual Acceptors: Exploring Conjugation and Flexible Chain Length Effects
Authors: Pati Subir K. , Patra Dhananjaya , Muduli Sunita , Mishra Sabyashachi , Park Sungjune 
Published: March 2023

AbstractSolution‐processable conducting polymers (CPs) are a compelling alternative to inorganic counterparts because of their potential for tuning chemical properties and creating flexible organic electronics. CPs, which typically comprise either only an electron donor (D) or its alternative combinations with an electron acceptor (A), exhibit charge transfer behavior between the units, resulting in an electrical conductivity suitable for utilization in electronic devices and for energy storage applications. However, the energy storage behavior of CPs with a sequence of electron acceptors (A–A), has rarely been investigated, despite their promising lower band gap and higher charge carrier mobility. Utilizing the aforesaid concept herein, four CPs featuring benzodithiophenedione (BDD), and diketopyrrolepyrrole (DPP) are synthesized. Among them, the BDDTH‐DPPEH polymer exhibited the highest specific capacitance of 126.5 F g−1 at a current density of 0.5 A g−1 in an organic electrolyte over a wide potential window of −0.6–1.4 V. Notably, the supercapacitor properties of the polymeric electrode materials improved with increasing conjugation length by adding thiophene donor units and shortening the alkyl chain lengths. Furthermore, a symmetric supercapacitor device fabricated using BDDTH‐DPPEH exhibited a high‐power density of 4000 W kg−1 and an energy density of 31.66 Wh kg−1.
Toward the High‐Performance Lithium Primary Batteries by Chemically Modified Fluorinate Carbon with δ‐MnO2
Authors: Li Luyu , Wu Ruizhe , Ma Hancheng , Cheng Bingbing , Rao Shaoqing , Lin Sheng , Xu Chunbo , Li Lei , Ding Yao , Mai Liqiang 
Published: March 2023

AbstractLi/CFx battery is one of the most promising lithium primary batteries (LPBs) which yields the highest energy density but with poor rate capability. This Achilles'’ heel hinders the large‐scale applications of Li/CFx batteries. This work first reports a facile chemical modification method of CFx with δ‐MnO2. Having benefited from the chemical bonding, the electrochemical performance at high‐rate discharge is remarkably enhanced without compromising the specific capacity. The coin cells exhibit an energy density of 1.94 × 103 Wh kg−1 at 0.2 C, which is approaching the theoretical energy density of commercial fluorinated graphite (2.07 × 103 Wh kg−1). A power density of 5.49 × 104 W kg−1 at 40 C associated with an energy density of 4.39 × 102 Wh kg−1, which is among the highest value of Li/CFx batteries, are obtained. Besides, the punch batteries achieve an ultrahigh power density of 4.39 × 104 W kg−1 with an energy density of 7.60 × 102 Wh kg−1 at 30 C. The intrinsic reasons for this outstanding electrochemical performance, which are known as the fast Li+ diffusion kinetics guided by thin δ‐MnO2 flakes and the low formation energy barrier caused by chemical bonding, are explored by the galvanostatic intermittent titration technique (GITT) and theoretical calculations.
3D Extruded Graphene Thermoelectric Threads for Self‐Powered Oral Health Monitoring
Authors: Li Huixu , Zhang Ding , Wang Chao , Hao Yilong , Zhang Yu , Li Ying , Bao Pingping , Wu Heting 
Published: March 2023

AbstractFlexible sensors play a crucial role in intelligent electronic devices, while strain‐sensing is the fundamental feature for these sensors of different fields. Therefore, developing high‐performance flexible strain sensors is essential for building the next generation of smart electronics. Here, a self‐powered ultrasensitive strain sensor based on graphene‐based thermoelectric composite threads through a simple 3D extrusion method is reported. The optimized thermoelectric composite threads show a large stretchable strain of over 800%. After 1000 cycles of bending, the threads still maintain excellent thermoelectric stability. The thermoelectric effect‐induced electricity can realize ultrasensitive strain and temperature detection with high resolution. As wearable devices, the thermoelectric threads can also realize self‐powered physiological signals monitoring, including the opening degree of mouth, occlusal frequency, and force of the tooth during the eating process. It provides significant judgment and guidance for promoting oral healthcare and developing good eating habits.
CrossFix: Resolution of GitHub issues via similar bugs recommendation
Authors: Tan Shin Hwei , Li Ziqiang , Yan Lu 
Published: March 2023

SummaryWith the increasing popularity of Open‐Source Software (OSS), the number of GitHub issues reported daily in these OSS projects has been growing rapidly. To resolve these issues, developers need to spend time and effort in debugging and fixing these issues. Meanwhile, a recent approach shows that similar bugs exist across different projects, and one could use the GitHub issues from a different project for finding new bugs for a related project. To locate similar bugs for our approach, we first conduct a study of similar bugs in GitHub. Our study redefines similar bugs as bugs that share the (1) same libraries, (2) same functionalities, (3) same reproduction steps, (4) same configurations, (5) same outcomes, or (6) same errors. Moreover, our study revealed the usefulness of similar bugs in helping developers to find more contexts about the bug and fixing. Based on our study, we design CrossFix, a tool that automatically suggests relevant GitHub issues based on an open GitHub issue. The suggested GitHub issues may contain solutions written in natural language or pull requests that help developers in resolving the given issue. Our evaluation on 249 open issues from Java and Android projects shows that CrossFix could suggest similar bugs to help developers in debugging and fixing.
A practical approach for technical debt prioritization based on class‐level forecasting
Authors: Tsoukalas Dimitrios , Siavvas Miltiadis , Kehagias Dionysios , Ampatzoglou Apostolos , Chatzigeorgiou Alexander 
Published: March 2023

AbstractMonitoring technical debt (TD) is considered highly important for software companies, as it provides valuable information on the effort required to repay TD and in turn maintain the system. When it comes to TD repayment, however, developers are often overwhelmed with a large volume of TD liabilities that they need to fix, rendering the procedure effort demanding. Hence, prioritizing TD liabilities is of utmost importance for effective TD repayment. Existing approaches rely on the current TD state of the system; however, prioritization would be more efficient by also considering its future evolution. To this end, the present work proposes a practical approach for prioritization of TD liabilities by incorporating information retrieved from TD forecasting techniques, emphasizing on the class‐level granularity to provide highly actionable results. Specifically, the proposed approach considers the change proneness and forecasted TD evolution of software artifacts and combines it with proper visualization techniques, to enable the early identification of classes that are more likely to become unmaintainable. To demonstrate and evaluate the approach, an empirical study is conducted on six real‐world applications. The proposed approach is expected to facilitate developers better plan refactoring activities, in order to manage TD promptly and avoid unforeseen situations long term.
Non‐Invasive and Minute‐Frequency 3D Tomographic Imaging Enabling Long‐Term Spatiotemporal Observation of Single Cell Fate
Authors: Liang Fei , Zhu Junwen , Chai Huichao , Feng Yongxiang , Zhao Peng , Liu Shaofeng , Yang Yuanmu , Lin Linhan , Cao Liangcai , Wang Wenhui 
Published: March 2023

AbstractNon‐invasive and rapid imaging technique at subcellular resolution is significantly important for multiple biological applications such as cell fate study. Label‐free refractive‐index (RI)‐based 3D tomographic imaging constitutes an excellent candidate for 3D imaging of cellular structures, but its full potential in long‐term spatiotemporal cell fate observation is locked due to the lack of an efficient integrated system. Here, a long‐term 3D RI imaging system incorporating a cutting‐edge white light diffraction phase microscopy module with spatiotemporal stability, and an acoustofluidic device to roll and culture single cells in a customized live cell culture chamber is reported. Using this system, 3D RI imaging experiments are conducted for 250 cells and demonstrate efficient cell identification with high accuracy. Importantly, long‐term and frequency‐on‐demand 3D RI imaging of K562 and MCF‐7 cancer cells reveal different characteristics during normal cell growth, drug‐induced cell apoptosis, and necrosis of drug‐treated cells. Overall, it is believed that the proposed 3D tomographic imaging technique opens up a new avenue for visualizing intracellular structures and will find many applications such as disease diagnosis and nanomedicine.