bluuebunny/crossref_metadata_2025_split huggingface dataset:
Waiting for a download: The effect of congruency between anthropomorphic cues and shopping motivation on consumer patience
Authors: Chen Siyun , Wei Haiying , Ran Yaxuan , Li Qing , Meng Lu 
Published: August 2021

AbstractConsumers tend to be impatient during an online wait (e.g., waiting for webpages to download), which may decrease their satisfaction with online retailers. The current research addresses this important issue by identifying a simple and viable strategy to boost consumer patience: the presence of anthropomorphic cues on the download interface. In particular, we postulate a matching effect between anthropomorphic cues and shopping motivation on consumer patience, such that hedonic (vs. utilitarian) consumption benefits from exciting (vs. sincere) anthropomorphism, whereas utilitarian (vs. hedonic) consumption benefits from sincere (vs. exciting) anthropomorphism (Study 1). Notably, these effects are driven by a match between anthropomorphic cues and shopping motivation that creates perceptions of fluency, and the ensuing enjoyment experience yields enhanced patience (Study 2). In addition to having substantive theoretical implications for the anthropomorphism, patience, and persuasion literature, our findings offer novel insights regarding ways for marketers to effectively manage online wait.
Stimuli‐Responsive Block Copolymer Micelles Based on Mussel‐Inspired Metal‐Coordinated Supramolecular Networks
Authors: Ganguly Ritabrata , Saha Pabitra , Banerjee Sovan Lal , Pich Andrij , Singha Nikhil K. 
Published: August 2021

AbstractAmphiphilic diblock copolymers containing dopamine and zwitterions are synthesized via the RAFT polymerization method, which undergo temperature‐mediated micellization in aqueous media. The presence of catechol moiety in dopamine is exploited to form pH‐responsive cross‐links with ferric ions (Fe3+) at different pH value. Herein, a comprehensive study of the effect of pH as well as temperature on the size and solution behavior of these cross‐linked micelles is presented. These micelles cross‐linked via metal–catechol coordination bonds can have several important biomedical applications such as degradable scaffolds for payload delivery.
Preparation and Chiral Applications of Optically Active Polyamides
Authors: Zhong Hai , Deng Jianping 
Published: August 2021

AbstractChirality is omnipresent in nature and plays vital roles in living organism, and has become a hot research topic across multidisciplinary fields including chemistry, biology, physics, and material science. Meanwhile, polyamides constitute an important class of polymers and have received significant attention owing to their outstanding properties and wide‐ranging applications in many areas. Judiciously introducing chirality into polyamides will undoubtedly obtain attractive chiral polymers, namely, optically active polyamides. This review describes the preparation methods of chiral polyamides, including solution polycondensation, interfacial polycondensation, ring‐open polymerization, and others; the newly emerging categories of chiral polyamides, i.e., helical polyamides, chiral polyamide‐imides, are also presented. The applications of optically active polyamides in chiral research fields including asymmetric catalysis, membrane separation, and enantioselective crystallization are also summarized. In addition, current challenges in chiral polyamides are further presented and future perspectives in the field are proposed.
Blocking MCT4 SUMOylation inhibits the growth of breast cancer cells
Authors: Hu Xiao , Liu Zhanzhao , Duan Xianxian , Han Xiao , Yuan Mengci , Liu Lingyan , Xia Xiaojun , Li Ning , Qin Junfang , Wang Yue 
Published: August 2021

AbstractMonocarboxylate transporter 4 (MCT4) is highly expressed in various types of solid neoplasms including breast cancer (BC); however, the pro‐tumor functions underlying its increased expression have not been explained. Here, we examined the roles of posttranslational modifications to MCT4 in BC, particularly SUMOylation. Our findings revealed that SUMOylation of MCT4 inhibited its degradation and stabilized MCT4 protein levels, while ubiquitination facilitated MCT4 degradation. The E3 ubiquitin ligases β‐TRCP and FBW7 interacted with MCT4 at the DSG‐box and TPETS sequences, respectively, and Lys448 (K448) of MCT4 could be modified by SUMO chains. Our key finding was that K448 was crucial for MCT4 SUMOylation. Moreover, mutations of K448 abolished MCT4 expression, delaying the growth of BC. This study suggested that SUMOylation of K448 increased MCT4 levels, and mutations of K448 in MCT4 could have therapeutic significance in BC.
The Role of Maturity in Artificial Habitat Selection by Female Red Snapper
Authors: Leontiou A. J. , Wu Wei , Brown-Peterson Nancy J. 
Published: August 2021

Abstract
The Red Snapper Lutjanus campechanus is a reef-associated species found throughout the Gulf of Mexico that relies on artificial structures for habitat. In this study, we used Bayesian models to determine habitat selection by different sizes and ages of female Red Snapper and to identify whether there was a difference in habitat selection between immature and mature fish. Red Snapper (n = 693) were sampled using vertical longlines from March or April through November of 2016–2018 off the coast of Mississippi at different artificial structure types (platforms, artificial reefs, and rigs-to-reef structures [hereafter, “rigs-to-reefs”]) and depths (shallow, &lt;20 m; mid-depth, 20–49 m; and deep, 50–100 m). To adjust for the traditional occurrence of mature fish being larger and older than immature fish, only fish within the intersection of the FL (n = 616) and age (n = 622) ranges of immature and mature classes were used in these analyses. Fork length and age of immature and mature fish increased with increasing depth, but immature fish had a larger increase in FL per unit depth than mature fish. Immature fish on artificial reefs were found to be older than immature fish at platforms, while there was no age difference between the two structures for mature fish. There was no difference in FL or age between rigs-to-reefs and platforms or artificial reefs for immature fish, but FL and age of mature fish were greater at rigs-to-reefs than at platforms and artificial reefs. However, maturity did not play a role in how age increased with depth or with differences in FL between artificial reefs and platforms for mature fish. These differences in habitat use based on maturity should be considered along with FL and age to inform management regulations for Red Snapper.
Altered Spatiotemporal Dynamics of the Resting Brain in Mild Cognitive Impairment with Lewy Bodies
Authors: Lamoš Martin , Morávková Ivona , Ondráček David , Bočková Martina , Rektorová Irena 
Published: August 2021

ABSTRACTBackgroundElectrophysiological markers of prodromal dementia with Lewy bodies were described in the spectral domain. The sub‐second temporal resolution may provide additional information.ObjectiveTo evaluate electroencephalography (EEG) microstates in patients with mild cognitive impairment with Lewy bodies and to assess the association between their temporal dynamics and the spectral marker.MethodsTemporal parameters of microstates were compared between 21 patients with mild cognitive impairment with Lewy bodies and 21 healthy controls. The dominant alpha frequency was correlated with microstate parameters.ResultsMicrostates A‐D showed higher occurrence in the patient group. Microstate B additionally revealed shorter mean duration and increased time coverage; its occurrence correlated with the dominant alpha frequency in the patient group.ConclusionsTemporal dynamics of all EEG microstates were altered in medication‐naïve subjects with prodromal dementia with Lewy bodies. Longitudinal follow‐up may reveal how EEG microstates reflect progression of brain function deficits and effects of treatment manipulations. © 2021 International Parkinson and Movement Disorder Society
A case of Fibrodysplasia Ossificans Progressiva associated with a novel variant of theACVR1gene
Authors: Cappato Serena , Traberg Rasa , Gintautiene Jolita , Zara Federico , Bocciardi Renata 
Published: August 2021

AbstractBackgroundFibrodysplasia Ossificans Progressiva (FOP) is a rare autosomal dominant disease characterized by congenital malformation of the great toes and progressive heterotopic ossification of soft tissues leading to cumulative disability. The genetic cause of FOP are mutations in theACVR1gene that encodes a type I receptor of Bone Morphogenetic Proteins. The most recurrent mutation in FOP patients is R206H affecting the Glycine‐Serine rich domain and causing the hyper‐activation of the receptor and the responsivity to the non‐canonical ligand, Activin A.In the present study, we described a 3‐years old child with early and highly suggestive clinical features of FOP who was found negative for the recurrent p.R206H substitution.MethodsMolecular screening of the wholeACVR1coding sequence and functional characterization in transfection‐based assays.Results and ConclusionsWe identified a novel,de novovariant in the fifthACVR1coding exon (NM_001111067.4:c.772A>T; NP_001104537.1:p.(R258W)). This substitution, never reported in association with FOP, affects a conserved arginine residue in the kinase domain of the protein.In silicoanalysis predicted the pathogenicity of this substitution, demonstrated byin vitroassays showing that the p.R258W ACVR1 mutated receptor acquires the ability to transduce the aberrant Activin A‐mediated signaling, as observed for the gene variants associated with FOP.
Weakly supervised learning on unannotated H&E‐stained slides predicts BRAF mutation in thyroid cancer with high accuracy
Authors: Anand Deepak , Yashashwi Kumar , Kumar Neeraj , Rane Swapnil , Gann Peter H , Sethi Amit 
Published: August 2021

AbstractDeep neural networks (DNNs) that predict mutational status from H&E slides of cancers can enable inexpensive and timely precision oncology. Although expert knowledge is reliable for annotating regions informative of malignancy and other known histologic patterns (strong supervision), it is unreliable for identifying regions informative of mutational status. This poses a serious impediment to obtaining higher prognostic accuracy and discovering new knowledge of pathobiology. We used a weakly supervised learning technique to train a DNN to predict BRAF V600E mutational status, determined using DNA testing, in H&E‐stained images of thyroid cancer tissue without regional annotations. Our discovery cohort was a tissue microarray of only 85 patients from a single hospital. On a large independent external cohort of 444 patients from other hospitals, the trained model gave an area under the receiver operating characteristic curve of 0.98 (95% CI 0.97–1.00), which is much higher than the previously reported results for detecting any mutation using H&E by DNNs trained using strong supervision. We also developed a visualization technique that can automatically highlight regions the DNN found most informative for predicting mutational status. Our visualization is spatially granular and highly specific in highlighting strong negative and positive regions and moves us toward explainable artificial intelligence. Using t‐tests, we confirmed that the proportions of follicular or papillary histology and oncocytic cytology, as noted for each patient by a pathologist who was blinded to the mutational status, were significantly different between mutated and wildtype patients. However, based solely on these features noted by the pathologist, a logistic regression classifier gave an average area under the receiver operating characteristic curve of 0.78 in five‐fold cross‐validation, which is much lower than that obtained using the DNN. These results highlight the potential of weakly supervised learning for training DNN models for problems where the informative visual patterns and their locations are not known a priori. © 2021 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Study of differences between patients with schizophrenia and healthy people in semantic processing
Authors: Ye Huiling , Zhu Xinyu , Wang Kaifeng , Song Lisheng , Yang Xiaohu , Li Fei , Fan Qing 
Published: August 2021

AbstractSemantic processing is important in language comprehension and production, and context can facilitate understanding and accelerate processing speed by pre‐activating semantically related words. There are many studies suggesting that patients with schizophrenia have inferior language ability. This study was aimed to examine the differences between patients with schizophrenia and healthy people in semantic processing with Chinese classifier–noun pairs rating tasks. Participants were required to finish rating tasks to judge acceptability of classifier–noun pairs. Also, the Positive and Negative Syndrome Scale (PANSS) was conducted in the schizophrenia group. According to results of variance analysis, schizophrenic patients' accuracy of judgment on the acceptability of classifier–noun pairs differed from the control group (F = 4.13, p < .05), and the contextual effect of classifier constraint could be observed in healthy people (F(1, 31) = 5.38, p < .05) but not in patients with schizophrenia (F(1, 25) = 3.55, p = .07), indicating that they failed to use the contextual information to facilitate language comprehension as healthy people. Stepwise linear regression analysis found that hostility, poor impulse control and suspiciousness/persecution and preoccupation in the PANSS may have contributed to the reduced sensitivity in the rating in patients (t = −2.38‐3.80, p < .05).
Long‐term degradation rate of crystalline silicon PV modules at commercial PV plants: An 82‐MWp assessment over 10 years
Authors: Pascual Julio , Martinez‐Moreno Francisco , García Miguel , Marcos Javier , Marroyo Luis , Lorenzo Eduardo 
Published: August 2021

AbstractDue to high competitiveness in the PV sector, despite the low degradation rate of crystalline silicon PV modules (below 0.5%/year), it is still important for utilities to know its actual value due to its impact on energy yield and hence, profitability, over the lifetime of a PV plant. However, uncertainties related to both the influence of downtime periods due to problems that may appear under normal operation of a commercial PV plant and to the measurement of degradation rates at PV plant level make this a challenging task. In order to obtain a significant value, in this paper, three measuring methods with different uncertainty sources are used for 82 MWp of PV modules on different locations in Spain and Portugal over 10 years. According to the different methods used and PV plants analyzed, excluding PV plants with problems, a range of degradation rates between 0.01 and 0.47%/year has been found. The overall average value observed is 0.27%/year. The findings of this work have also revealed the great importance of good operation and maintenance practices in order to keep overall low degradation rates.
Population repeated time‐to‐event analysis of exacerbations in asthma patients: A novel approach for predicting asthma exacerbations based on biomarkers, spirometry, and diaries/questionnaires
Authors: Svensson Robin J , Ribbing Jakob , Kotani Naoki , Dolton Michael , Vadhavkar Shweta , Cheung Dorothy , Staton Tracy , Choy David F , Putnam Wendy , Jin Jin , Budha Nageshwar , Karlsson Mats O. , Quartino Angelica , Zhu Rui 
Published: August 2021

AbstractIdentification of covariates, including biomarkers, spirometry, and diaries/questionnaires, that predict asthma exacerbations would allow better clinical predictions, shorter phase II trials and inform decisions on phase III design, and/or initiation (go/no‐go). The objective of this work was to characterize asthma‐exacerbation hazard as a function of baseline and time‐varying covariates. A repeated time‐to‐event (RTTE) model for exacerbations was developed using data from a 52‐week phase IIb trial, including 502 patients with asthma randomized to placebo or 70 mg, 210 mg, or 490 mg astegolimab every 4 weeks. Covariate analysis was performed for 20 baseline covariates using the full random effects modeling approach, followed by time‐varying covariate analysis of nine covariates using the stepwise covariate model (SCM) building procedure. Following the SCM, an astegolimab treatment effect was explored. Diary‐based symptom score (difference in objective function value [dOFV] of −83.7) and rescue medication use (dOFV = −33.5), and forced expiratory volume in 1 s (dOFV = −14.9) were identified as significant time‐varying covariates. Of note, time‐varying covariates become more useful with more frequent measurements, which should favor the daily diary scores over others. The most influential baseline covariates were exacerbation history and diary‐based symptom score (i.e., symptom score was important as both time‐varying and baseline covariate). A (nonsignificant) astegolimab treatment effect was included in the final model because the limited data set did not allow concluding the remaining effect size as irrelevant. Without time‐varying covariates, the treatment effect was statistically significant (p < 0.01). This work demonstrated the utility of a population RTTE approach to characterize exacerbation hazard in patients with severe asthma.
Quality control and bias adjustment of crowdsourced wind speed observations
Authors: Chen Jieyu , Saunders Kate , Whan Kirien 
Published: August 2021

AbstractWind observations collected at citizen weather stations (CWSs) could be an invaluable resource in climate and meteorology studies, yet these observations are underutilised because scientists do not have confidence in their quality. These wind speed observations have systematic biases, likely caused by improper instrumentation and station sitings. Such systematic biases introduce spatial inconsistencies that prevent comparison of these stations spatially and limit the possible usage of the data. In this paper, we address these issues by improving and developing new methods for identifying suspect observations and adjusting systematic biases. Our complete quality control and bias adjustment procedure consists of four steps: (a) performing within‐station quality control tests to check the plausible range and the temporal consistency of observations, (b) adjusting the systematic bias using empirical quantile mapping, (c) implementing between‐station quality control to compare observations from neighbouring stations to identify spatially inconsistent observations, and (d) providing estimates of the true wind when CWSs falsely report zero wind speeds, as a complement to the bias adjustment. We apply these methods to CWSs from the Weather Observation Website (WOW) in the Netherlands, comparing the crowdsourced data with official data, and statistically assessing the improvements in data quality after each step. The results demonstrate that the crowdsourced wind speed data are more comparable with official data after quality control checks and bias adjustment steps. Our quality assessment methods therefore give confidence in CWSs, converting their observations into a usable data product and an invaluable resource for applications in need of additional wind observations.
A temporal–spatial hybrid dynamic algorithm strategy for inelastic earthquake response analysis of super high‐rise building structures
Authors: He Zheng , Ren Zhinan , Qi Zhe , Fu Shaojun 
Published: August 2021

SummaryBased on the understanding about the spatial distribution of plasticity development in super high‐rise building structures excited with strong earthquakes, a temporal–spatial hybrid dynamic algorithm (TSHDA) strategy is specifically proposed with the combination of the previously developed bilateral algorithm switch mechanism. The coupling response of partitioned subdomains and interfaces by the nodal partition strategy is solved using the iterative interfacial prediction–correction procedure. Four implicit and two explicit algorithms are selected and implemented on a finite element analytical platform, generating a total of eight alternative hybrid algorithms. A performance evaluation is carried out on a high‐rise reinforced concrete frame structure, and a super high‐rise frame core‐tube structure indicates that using the TSHDA strategy can achieve a more desirable balance among accuracy, stability, and efficiency. Such strategy is believed to be elaborately tailored for those mega structures with some strengthened stories distributed along height. The computational accuracy is well maintained by the bilateral algorithm switch which can substantially reduce the error accumulated in the determination of the incremental internal force vectors of subdomains and interfaces. The hybrid DKNR + CA algorithm, that is, the combination of the Krylov subspace accelerated Newton (KNR) algorithm with Chang's algorithm (CA), demonstrates comparatively desirable accuracy and superior efficiency.
Compressional wave velocity and effective stress in unsaturated soil: Potential application for monitoring moisture conditions in vadose zone sediments
Authors: Linneman Dorothy C. , Strickland Christopher E. , Mangel Adam R. 
Published: August 2021

AbstractCompressional seismic (P‐wave) velocities were measured experimentally at different matric suctions and confining pressure states using a variety of sediments collected from the USDOE Hanford Site in southeastern Washington State. The P‐wave velocity was measured in variably saturated sediments using ultrasonic piezoelectric transducers, and matric suction was measured with a heat dissipation sensor. Desaturation of the samples occurred by means of evaporative drying. We propose a model to relate changes in P‐wave velocity to soil stress conditions using an effective stress formulation that includes capillary stress as well as adsorptive stress. We show that compressional wave velocities can be related to matric suction and confining stress using a model with five fitted parameters. A single set of parameters describing the relationship between effective stress and P‐wave velocity provide an excellent fit to data acquired on Hanford Formation samples. The results presented here suggest the utility of seismic methods for establishing low matric suction and flow conditions within variably saturated Hanford formation sediments, which could be applied at the field scale for evaluating the performance of environmental remediation efforts, such as soil desiccation and surface infiltration barriers.
Holographic BCFTs and communicating black holes
Authors: Geng Hao , Lüst Severin , Mishra Rashmish K. , Wakeham David 
Published: August 2021

Abstract
We study the AdS/BCFT duality between two-dimensional conformal field theories with two boundaries and three-dimensional anti-de Sitter space with two Karch-Randall branes. We compute the entanglement entropy of a bipartition of the BCFT, on both the gravity side and the field theory side. At finite temperature this entanglement entropy characterizes the communication between two braneworld black holes, coupled to each other through a common bath. We find a Page curve consistent with unitarity. The gravitational result, computed using double-holographically realized quantum extremal surfaces, matches the conformal field theory calculation.At zero temperature, we obtain an interesting extension of the AdS3/BCFT2 correspondence. For a central charge c, we find a gap $$ \left(\frac{c}{16},\frac{c}{12}\right) $$

c
16

c
12

in the spectrum of the scaling dimension ∆bcc of the boundary condition changing operator (which interpolates mismatched boundary conditions on the two boundaries of the BCFT). Depending on the value of ∆bcc, the gravitational dual is either a defect global AdS3 geometry or a single sided black hole, and in both cases there are two Karch-Randall branes.