bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anisotropic Enhancement in Thermal Conductivity of Graphene Foam/Polymer Composites Based on Uniaxial Compression
Authors: Gao Ge , Sun Mingqi , Dai Bing , Yang Lei , Liu Kang , Yang Zhenhuai , Han Jiecai , Zhu Jiaqi 
Published: September 2022

AbstractHigh‐performance thermal interface materials are in increasing demand because of the problems of dissipating heat from high‐power computing devices. To solve this problem, this study proposes a method of microstructural design through uniaxial compression of graphene foam along the out‐of‐plane direction. The thermal conductivity of the composites with graphene foam shows an anisotropic growth along the direction of the compressive strain. The in‐plane thermal conductivity increases significantly from 0.189 to 1.669 W m−1 K−1 at an extremely low filler content of 2.24 vol%, whereas the out‐of‐plane thermal conductivity increases slightly to 0.303 W m−1 K−1. Moreover, the samples exhibit outstanding in‐plane thermal conductivity enhanced efficiency, which reaches 415.19% at a 1.29 vol% graphene content. The mechanism of anisotropic thermal conductivity enhancement is revealed by constructing a theoretical model based on a geometrical unit cell simplified from the morphology of graphene foam. This uniaxial compression method of a 3 structure provides a novel direction for improving the thermal conductivity of polymeric matrix composites more controllably.
Non‐Persistence of Tremorolytic Effect of Perampanel in Essential Tremor: Real‐World Experience with 50 Patients
Authors: Gironell Alexandre , Pascual‐Sedano Berta , Marín‐Lahoz Juan , Pérez Jesús , Pagonabarraga Javier 
Published: September 2022

ABSTRACTBackgroundWe describe our experience of using perampanel to treat essential tremor (ET) over 12 months.MethodsWe enrolled 50 ET patients in an open‐label trial. Perampanel was titrated to 4 mg/day as adjuvant therapy. The main outcome measures were baseline, +1, +3, +6, and + 12 month scores of the Tremor Clinical Rating Scale (TCRS) and the Glass scale (GS).ResultsTwenty patients withdrew because of adverse effects. At +1 month, 27 of 30 patients improved: 68% reduction in both TCRS 1 + 2 (P < 0.001) and TCRS 3 (P < 0.001); TCRS 4 + 1.8 and GS 1.1 point reduction. By +12 months non‐persistence of therapeutic effect occurred in 70% of patients: the mean reduction in TCRS 1 + 2 was 33% (P = 0.03), TCRS 3 (0.04), TCRS 4 + 0.8, GS 0.2 points reduction.ConclusionsWe report important peramapanel acute tremorolytic effects, but poor tolerance to adverse effects and a non‐sustained therapeutic effect in most patients.
Strategic management of companies' adaptive behavior
Authors: Yin You 
Published: September 2022

AbstractThe modern stage of economic growth is accompanied by sophisticated, multifaceted, and diverse processes, including globalization, the evolution of a new technological paradigm, the growing scarcity of available resources, and changing consumer demands and preferences. In this context, the ability of businesses to quickly and adequately adapt to changes, induced by the external environment, is crucial to their long‐term success. Awareness of these circumstances has led to increased research interest to the issues of managing the adaptability of businesses. The paper quantifies the major dependencies and controversies between the adaptability assessment methods and strategic development of entrepreneurship. The research findings provide an understanding of the overall trend of adaptability management and its impact on the business performance and management strategies that can be used to increase resistance to the extrinsic factors. The main methods of analysis include matrix‐based approaches to selecting the best strategic decisions. A methodical approach was proposed for a reasoned choice of retailers' strategic adaptation areas, which makes it possible to determine the optimal type of adaptation strategy and opens opportunities for determining the company's strategic pathway in its adaptation context. This paper addresses the current market‐driven settings of economic management and the issues of managing the retailers' adaptability in China, as well as the need to change the methods of their strategic management in order to develop a strong competitive position in today's fast‐paced environment and promote economic growth. The research findings can be applied in various types of businesses, regardless of the scale thereof.
In vivo magnetic resonance 31P‐Spectral Analysis With Neural Networks: 31P‐SPAWNN
Authors: Songeon Julien , Courvoisier Sébastien , Xin Lijing , Agius Thomas , Dabrowski Oscar , Longchamp Alban , Lazeyras François , Klauser Antoine 
Published: September 2022

PurposeWe have introduced an artificial intelligence framework, 31P‐SPAWNN, in order to fully analyze phosphorus‐31 (P) magnetic resonance spectra. The flexibility and speed of the technique rival traditional least‐square fitting methods, with the performance of the two approaches, are compared in this work.Theory and MethodsConvolutional neural network architectures have been proposed for the analysis and quantification of P‐spectroscopy. The generation of training and test data using a fully parameterized model is presented herein. In vivo unlocalized free induction decay and three‐dimensional P‐magnetic resonance spectroscopy imaging data were acquired from healthy volunteers before being quantified using either 31P‐SPAWNN or traditional least‐square fitting techniques.ResultsThe presented experiment has demonstrated both the reliability and accuracy of 31P‐SPAWNN for estimating metabolite concentrations and spectral parameters. Simulated test data showed improved quantification using 31P‐SPAWNN compared with LCModel. In vivo data analysis revealed higher accuracy at low signal‐to‐noise ratio using 31P‐SPAWNN, yet with equivalent precision. Processing time using 31P‐SPAWNN can be further shortened up to two orders of magnitude.ConclusionThe accuracy, reliability, and computational speed of the method open new perspectives for integrating these applications in a clinical setting.
Factor analysis of the Center for Epidemiological Studies Depression Scale in American Indian women
Authors: Brooks Jada L. , Adams Leslie B. , Woods‐Giscombé Cheryl L. , Currin Emily G. , Corbie‐Smith Giselle M. 
Published: September 2022

AbstractThe Center for Epidemiological Studies Depression Scale (CES‐D) is widely used to assess depressive symptoms in the general population. It lacks validation for widespread use within the American Indian population, however. To address this gap, we explored and confirmed the factor structure of the CES‐D among a community sample of southeastern American Indian women. We analyzed data from a sample of 150 American Indian women ages 18–50 from a southeastern tribe who had complete responses on the CES‐D as part of a larger cross‐sectional, community‐engaged study. We performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess the measure's validity. We examined EFA models ranging from one to five factors, with the four‐factor structure yielding the best overall model fit (CFI = 1.00, TLI = 0.99, RMSEA = 0.03). Differences between the four‐factor EFA‐retained structure from our sample and Radloff's four‐factor structure emerged. Only the interpersonal factor was common to both factor structures. Our study findings confirm the validity of the original four‐factor structure of the CES‐D for younger adult American Indian women in the southeast. Contrasting findings with the EFA‐retained structure, however, provide a more nuanced interpretation of our results.
Investment portfolio tracking using model predictive control
Authors: de Melo Maisa Kely , Nogueira Cardoso Rodrigo Tomás , Argolo Jesus Tales , Vianna Raffo Guilherme 
Published: September 2022

AbstractThe composition of an investment portfolio aiming to increase the financial returns while reducing the exposure to risk is a topic of growing interest in the world. In this direction, we propose a model predictive control (MPC) strategy in order to optimize the investment portfolio selection taking into account the tracking of a reference portfolio with desired return. In addition, an analysis comparing different sizes of the prediction horizon according to VPH‐MPC (Varying Predictive Horizon‐MPC) and FPH‐MPC (Fixed Predictive Horizon‐MPC) algorithms is conducted. Finally, we propose an optimal control problem using the tracking error as a function of loss of CVaR (Conditional Value at Risk) measurement. Numerical experiments are run based on Brazilian Stock Exchange data. The experimental results are compared with the Markowitz portfolio optimization model, a conventional tracking strategy, and benchmarks from the Brazilian financial market. This comparison indicates a good tracking performance obtained by the proposed MPC in the two versions while satisfying the constraints.
Influencing factors and evaluation methods of reinforcement effect of fiber‐modified asphalt binder
Authors: Ma Feng , Jin Yanxin , Fu Zhen , Dai Jiasheng , Zhang Pan , Zhang Chao , Wen Yalu 
Published: September 2022

AbstractThe reinforcement of fiber is the linchpin of improving the strength of the asphalt binder and its mixture. This study aims to evaluate the reinforced shear effect and influence factors of fiber materials (i.e., lignin fiber, basalt fiber, polyester fiber, and hybrid fiber) by the self‐developed direct shear test. The micro‐reinforcement mechanism of fiber was explained based on the scanning electron microscope and basket leak test. Besides, the effects of fiber type, content, loading temperature, and rate on the asphalt binder's shear strength were analyzed systemically. The results indicate that the direct shear strength of asphalt binder was positively correlated with fiber content and loading rate but negatively associated with temperature. Meanwhile, when the fiber content is too large, the raise of shear strength will decrease. Gray entropy correlation analysis shows that the fiber type had the most effective influence on the binder's shear strength. The four fibers' reinforcing effects in descending order were composite fiber, polyester fiber, basalt fiber, and lignin fiber. Based on the growth rate of direct shear strength, the optimal lignin and basalt fiber content was 7%, polyester fiber was 6%–7%, and composite fiber was 6%. Furthermore, lignin fiber and basalt fiber were more sensitive to temperature, while polyester fiber had a better mid‐temperature weather resistance. Composite fibers and basalt fibers performed more stable behavior at high loading rates, decreasing 39% and 40%, respectively. Polyester fibers were stable when applied to the low loading rates, with an attenuation rate of 42%.
Medical termination of pregnancy for fetal anomaly at or beyond 20 weeks' gestation—What are the maternal risks?
Authors: Stewart Bridie , Kane Stefan C. , Unterscheider Julia 
Published: September 2022

AbstractObjectiveTo evaluate the common and severe maternal morbidities associated with medical termination of pregnancy (MTOP) for fetal anomaly ≥20 weeks' gestation.MethodsA 10‐year retrospective cohort study (January 2010–December 2019) analyzing 407 consecutive singleton pregnancies MTOP for fetal anomaly ≥20 weeks' gestation, at a quaternary maternity centre in Australia (Royal Women's Hospital, Melbourne).ResultsThe cohort comprised of 191 primiparous and 216 multiparous women, of whom 75 (34.7%) had at least one prior Cesarean; 13 women had a low‐lying placenta or placenta praevia. The average gestation was 23 weeks (interquartile range 22–26 weeks). A spontaneous unassisted vaginal delivery was achieved by the majority (n = 403, 99.0%). The most common maternal morbidities were transferred to the theater for manual removal of retained placental tissue (n = 65, 16.0%) and postpartum haemorrhage (PPH) (n = 45, 11.1%). Severe maternal morbidity occurred in six cases (1.3%) and included amniotic fluid embolism, cardiac arrest, major obstetric haemorrhage, uterine rupture and intensive care unit admission. There were no maternal deaths.ConclusionsThe most common complications of MTOP for fetal anomaly ≥20 weeks' gestation were manual removal of placenta and PPH. Severe maternal morbidity affected 1 in 81 women.
Microscopic deformation and failure modes of high‐functionality epoxy resins from bond breaking molecular dynamics simulations and experimental investigation
Authors: Jang Chang Woon , Mullinax J. Wayne , Kang Jin Ho , Palmieri Frank L. , Hudson Tyler B. , Lawson John W. 
Published: September 2022

AbstractThe material behavior of the API‐60 epoxy resin was investigated using atomistic molecular dynamics simulations. In this study, a hybrid, reactive force field (M‐GAFF2), which combined Morse and harmonic bond potentials from GAFF2, was developed to understand the elastic/plastic response of the cured epoxy polymer. We found that elastic deformation was caused by epoxy network rearrangement at low strain while plastic deformation was observed by stretching and breaking covalent bonds after the yield point. Ab initio calculations at the CASPT2(2,2)/6‐311+G** level of theory were performed to compute parameters for M‐GAFF2. These are necessary for breaking covalent bonds in the epoxy network backbone when they are deformed. The M‐GAFF2 was effective in revealing the ductile‐like deformation behavior of the crosslinked epoxy polymer at the microscopic level, including elastic/plastic deformations and progressive failure. The effect of testing temperature at 300 and 400 K and degree of cure (DoC) on tensile properties such as Young's modulus, ultimate strength, and failure strain was evaluated to verify the feasibility of the M‐GAFF2 in different thermodynamic constraints. This new approach is easy to use for nonequilibrium MD simulations and computationally efficient for studying the microscopic deformation and failure behavior of thermosetting polymers at the atomistic scale.
Exponential synchronization of stochastic coupled neural networks with Markovian switching via event‐triggered control
Authors: Zhang Renlei , Chen Qiaoyu , Tong Dongbing , Zhou Wuneng 
Published: September 2022

AbstractThis article reports on exponential synchronization for stochastic coupled neural networks (NNs) with mixed time‐varying delays, stochastic coupling strength, and Markovian switching. In order to reduce the amount of data transmission and save network resources, an event‐triggered control method is provided in this study. When the triggered condition can be met, the data can be transmitted so that the master and slave systems with limited resources and bandwidth can realize synchronization. By the Lyapunov stability theory and several analysis skills of matrix properties, some new criteria are obtained to make sure that stochastic coupled NNs are mean square exponential stability. These criteria are provided by linear matrix inequalities. Finally, a numerical case further demonstrates the validity of the proposed criteria.
Feature screening of ultrahigh dimensional longitudinal data based on the C‐statistic
Authors: Lai Peng , Di Qing , Shen Zhezi , Zhou Yanqiu 
Published: September 2022

AbstractThis paper considers the feature screening method for the ultrahigh dimensional semiparametric linear models with longitudinal data. The C‐statistic which measures the rank concordance between predictors and outcomes is generalized to the longitudinal data. On the basis of C‐statistic and the score equation theory, we propose a feature screening method named LCSIS. Based on the smoothed technique and the score equations, the proposed estimating screening procedure is easy to compute and satisfies the feature screening consistency. Furthermore, Monte Carlo simulation studies and a real data application are conducted to examine the finite sample performance of the proposed procedure.
Recent approaches in nanocarrier‐based therapies for neglected tropical diseases
Authors: Mengarda Ana C. , Iles Bruno , Longo João Paulo F. , de Moraes Josué 
Published: September 2022

AbstractNeglected tropical diseases (NTDs) remain major public health problems in developing countries. Reducing the burden of NTDs requires sustained collaborative drug discovery efforts to achieve the goals of the new NTDs roadmap launched by the World Health Organization. Oral drugs are the most convenient choice and usually the safest and least expensive. However, the oral use of some drugs for NTDs treatment has many drawbacks, including toxicity, adverse reactions, drug resistance, drug low solubility, and bioavailability. Since there is an imperative need for novel and more effective drugs to treat the various NTDs, in recent years, several compound‐loaded nanoparticles have been prepared with the objective of evaluating their application as an oral drug delivery system for the treatment of NTDs. This review focuses on the various types of nanoparticle drug delivery systems that have been recently used against the major NTDs caused by parasites such as leishmaniasis, Chagas disease, and schistosomiasis.This article is categorized under:
Therapeutic Approaches and Drug Discovery > Nanomedicine for Infectious Disease
Sociodemographic and regional determinants of rabies submission bias in North Carolina
Authors: Hicks Carson L. , Urbanek Rachael E. , Olfenbuttel Colleen 
Published: September 2022

AbstractWith North Carolina's human population and urban development rapidly expanding, spread of zoonotic disease is of concern to both wildlife managers and public health officials. Between 2008 and 2018, 300−1,000 wild terrestrial animals were submitted for rabies testing each year, however, only 30−46% of total submissions tested positive for rabies annually. Given the low percentage of positive tests and high number of submissions in some counties, we used one‐way ANOVAs to determine if a submission bias, that is, healthy wildlife being submitted for rabies testing for undetermined reasons (e.g., fear, lack of knowledge), may exist in some counties or throughout North Carolina. Using multiple regression analyses and data from all 100 counties, we investigated if income, age, education, gender, ethnicity, population density, housing density, and geographical region influenced total submissions and percent positive cases. Statewide, annual total submissions averaged 765 ± 56.0 (x̄ ± SE throughout) and the percent positive cases averaged 35% ± 1%, however variation existed among counties for both metrics (F98−99,947−1088 = 3.77−23.07 P < 0.001) indicating submission bias. Counties that are in the Piedmont region and/or have lower percentages of Black residents (Std. β = −0.17) and counties with denser human populations, housing density, and/or more tourism income (β = 0.71) had the largest number of total submissions for rabies testing. Alternatively, counties that had higher percentages of residents who had attended some college submitted fewer animals for testing (Std. β = −0.18). Counties with a higher percent of Black residents also had a higher percentage of positive cases (Std. β = 0.33) and, as expected based on the ethnic composition of each region, there were lower percentages of positive cases in the Mountain region compared to the Piedmont and Coastal Plain regions. The percent of self‐reported Hispanic residents in a county also positively affected (Std. β = 0.30) the percentage of positive cases. This variable was negatively correlated with median age indicating counties with older residents have a lower percentage of positive cases. We suggest rabies education should be focused on the Mountain region, White residents, and older individuals in North Carolina since these groups of residents were more likely to request rabies testing on non‐rabid wildlife. Specifically, counties with higher populations of White individuals had higher annual total submissions, but fewer positive tests for rabies, indicating this demographic group had the most bias and they, as well as local and county animal control departments, should be the focus for targeted educational programs.
Global boundedness and asymptotic behavior in a chemotaxis system with signal‐dependent motility and indirect signal absorption
Authors: Ren Guoqiang , Shi Yu 
Published: September 2022

AbstractIn this paper we investigate the following chemotaxis system with signal‐dependent motility and indirect signal absorptionin a bounded domain with smooth boundary. We present the global existence of classical solutions to the model (*) in two space dimensions with logistic source and in any dimension for small initial data without logistic source. In addition, the asymptotic behavior of the solutions is studied.
Stochastic homogenization on perforated domains II – Application to nonlinear elasticity models
Authors: Heida Martin 
Published: September 2022

AbstractBased on a recent work that exposed the lack of uniformly bounded extension operators on randomly perforated domains, we study stochastic homogenization of nonlinear p‐elasticity, , on such structures using instead the extension operators constructed in former works. We thereby introduce two‐scale convergence methods on such random domains under the intrinsic loss of regularity and prove some generally useful calculus theorems on the probability space, for example, abstract Gauss theorems.
Two-loop master integrals for pseudo-scalar quarkonium and leptonium production and decay
Authors: Abreu Samuel , Becchetti Matteo , Duhr Claude , Ozcelik Melih A. 
Published: September 2022

Abstract
We compute the master integrals relevant for the two-loop corrections to pseudo-scalar quarkonium and leptonium production and decay. We present both analytic and high-precision numerical results. The analytic expressions are given in terms of multiple polylogarithms (MPLs), elliptic multiple polylogarithms (eMPLs) and iterated integrals of Eisenstein series. As an application of our results, we obtain for the first time an analytic expression for the two-loop amplitude for para-positronium decay to two photons at two loops.
A single-cell transcriptomic atlas of the human ciliary body
Authors: Lou Bingsheng , Zeng Lei , Gao Xinbo , Qian Xiaobing , Li Jing Jing , Gu Xinyu , Liu Zheng , Liu Keli , Chen Xun , Lin Xiaofeng , Zhang Feng 
Published: September 2022

AbstractThe ciliary body critically contributes to the ocular physiology with multiple responsibilities in the production of aqueous humor, vision accommodation and intraocular immunity. Comparatively little work, however, has revealed the single-cell molecular taxonomy of the human ciliary body required for studying these functionalities. In this study, we report a comprehensive atlas of the cellular and molecular components of human ciliary body as well as their interactions using single-cell RNA sequencing (scRNAseq). Cluster analysis of the transcriptome of 14,563 individual ciliary cells from the eyes of 3 human donors identified 14 distinct cell types, including the ciliary epithelium, smooth muscle, vascular endothelial cell, immune cell and other stromal cell populations. Cell-type discriminative gene markers were also revealed. Unique gene expression patterns essential for ciliary epithelium-mediated aqueous humor inflow and ciliary smooth muscle contractility were identified. Importantly, we discovered the transitional states that probably contribute to the transition of ciliary macrophage into retina microglia and verified no lymphatics in the ciliary body. Moreover, the utilization of CellPhoneDB allowed us to systemically infer cell–cell interactions among diverse ciliary cells including those that potentially participate in the pathogenesis of glaucoma and uveitis. Altogether, these new findings provide insights into the regulation of intraocular pressure, accommodation reflex and immune homeostasis under physiological and pathological conditions.