bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of corrosion inhibition of 4-(4-nitrophenyl) thiazol-2-amine on the copper in HCl: experimental and theoretical studies
Authors: Farahati Razieh , Ghaffarinejad Ali , Mousavi-Khoshdel S. Morteza 
Published: May 2022

Purpose
This paper aims to investigate the corrosion inhibition ability of 4–(4-nitrophenyl) thiazol-2-amine (NPT) on the copper in 1 M HCl.

Design/methodology/approach
The corrosion inhibitory ability of NPT on the copper in 1 M HCl was studied by electrochemical impedance spectroscopy, scanning electron microscopy and atomic force microscopy. Theoretical calculations (molecular dynamics simulation, density functional theory and the nucleus independent chemical shift [NICS] as aromaticity indicator of the molecule) were also performed.

Findings
The corrosion inhibition efficacy of this compound was about 80%. Nyquist plots display a small arc contributed to the film or oxide layer resistance and a large loop associated with charge transfer resistance. The inhibitor adsorption was under Langmuir’s adsorption model. ΔG0ads values point to the presence of physical and chemical adsorption. Results of quantum chemical calculations showed that NPT has better interaction with copper than NPTH+. NICS of NPT in benzene or thiazole rings was less negative compared to NICS of NPTH+. Thus NPT shows less aromaticity compared with NPTH+, showing NPT can have better interaction with copper than NPTH+. NPT had more negative Eint value and more interactions with the Cu relative to NPTH+, this result was in agreement with the results of quantum chemical calculations.

Originality/value
NPT is an efficient corrosion inhibitor for copper in HCl. Theoretical calculations showed that NPT can have better interaction with copper than NPTH+. The results of the theoretical studies were in good agreement with the experimental studies.
Structural analysis of bending soft pneumatic network actuators for various designs using the finite element method
Authors: V. Venkatesan , S. Shanmugam , A.R. Veerappan 
Published: May 2022

Purpose
This paper aims to present the numerical analysis of displacements, forces and bend angles of three different structural designs of a soft actuator using the finite element method. The results of this analysis help understand the physical behavior of the soft pneumatic actuator.

Design/methodology/approach
The soft actuator is designed using commercial modeling software, and the design of the actuator is analyzed using ABAQUS 19.0 with a standard implicit nonlinear analysis. There are three types of structural designs for actuators, namely, rectangular-base model, trapezoidal-base model and the trapezoidal model considered in the present study.

Findings
Maximum displacement, force and bend angle are observed in the rectangular-base model at various pressure levels.

Originality/value
The development of novel designs of the soft pneumatic actuator to undertake a comparative analysis of displacement, force and bend angle.
Age‐dependent effects of developmental experience on morphology, performance, dispersal and survival in a translocated, endangered species
Authors: Hammond Talisin T. , Swaisgood Ronald R. , Jacobs Leah E. , Curtis Michelle J. , McCormick Bailey A. , Hornfeldt Jacob A. , Trotman Eric M. , Shier Debra M. 
Published: May 2022

Abstract

While ex situ breeding programs are critical tools for species recovery, translocations using animals reared under human care can face low success rates, often related to increased dispersal and reduced survival. These issues may be related to a mismatch between ex situ environments and natural habitats. Natal habitat preference induction, wherein individuals seek out habitat similar to that they experienced during development, may provide one explanation for this phenomenon. While exposure to naturalistic environments and pre‐release training can mitigate these issues, there may be developmental windows within which these sorts of experiences are most transformative.

We characterized the impacts of environmental experience at different developmental stages on morphology, performance and post‐translocation dispersal and survival in the endangered mountain yellow‐legged frog Rana muscosa. We exposed frogs of different ages (N = 146 one‐year‐olds, hereafter juveniles; N = 110 two‐year‐olds, hereafter subadults) to different water flow regimes to mimic stream conditions of reintroduction sites. We measured morphology and swimming performance before and after treatment. Frogs were translocated into the wild and monitored to collect data on movement and survival.

Stream experience resulted in significantly longer proportional limb lengths and improved swimming performance for juvenile but not subadult frogs.

After translocation, stream experienced subadults exhibited significantly lower post‐release movement than control subadults. There was no effect of treatment on juvenile movement, which was significantly higher than in subadults.

Stream experience significantly boosted apparent survival for juveniles but not subadults, but subadults exhibited higher survival overall.

Synthesis and applications. Our results suggest that early‐life experience with naturalistic conditions in ex situ facilities can significantly impact morphology, performance and post‐translocation movement and survival, and that the effects are age dependent. Pre‐release training is a vital component of conservation translocations, including for herpetofauna, which are increasingly involved in translocations and are sometimes considered more ‘hard‐wired’. We recommend that practitioners consider a broader array of survival skills and tailor pre‐release treatments to specific developmental windows. Providing critical experiences during development and releasing younger animals better prepared for life in the wild may be cost‐effective recovery strategies.
Don't Ask, Just Listen … Using Social Networks to Measure Subjective Well-Being
Authors: Iacus Stefano M. , Porro Giuseppe 
Published: May 2022

Abstract
How do people feel about their lives and the societies in which they live? Are they happy, hopeful or concerned about the future? Surveys can help answer these questions, but Stefano M. Iacus and Giuseppe Porro argue for using social networks and sentiment analysis to let citizens speak for themselves
Women of Significance?
Authors: Lamb Karen , Kasza Jessica , Calabretto Sophie , Wijesuriya Rushani , McIver Linda 
Published: May 2022

Abstract
Significance bills itself as “a magazine about statistics and data science, written by experts for everyone”. But too few of its featured experts are women, as an analysis by Karen Lamb, Jessica Kasza, Sophie Calabretto, Rushani Wijesuriya and Linda McIver shows
Editorial: estimating the costs of care in irritable bowel syndrome—a necessary step to enhance value‐based care for a high‐prevalence, low‐cost condition
Authors: Berinstein Jeffrey A. , Fendrick A. Mark 
Published: May 2022

LINKED CONTENTThis article is linked to Goodoory et al papers. To view these articles, visit https://doi.org/10.1111/apt.16939 and https://doi.org/10.1111/apt.16966
Review article: the future of microbiome‐based therapeutics
Authors: Gulliver Emily L. , Young Remy B. , Chonwerawong Michelle , D'Adamo Gemma L. , Thomason Tamblyn , Widdop James T. , Rutten Emily L. , Rossetto Marcelino Vanessa , Bryant Robert V. , Costello Samuel P. , O'Brien Claire L. , Hold Georgina L. , Giles Edward M. , Forster Samuel C. 
Published: May 2022

SummaryBackgroundFrom consumption of fermented foods and probiotics to emerging applications of faecal microbiota transplantation, the health benefit of manipulating the human microbiota has been exploited for millennia. Despite this history, recent technological advances are unlocking the capacity for targeted microbial manipulation as a novel therapeutic.AimThis review summarises the current developments in microbiome‐based medicines and provides insight into the next steps required for therapeutic development.MethodsHere we review current and emerging approaches and assess the capabilities and weaknesses of these technologies to provide safe and effective clinical interventions. Key literature was identified through Pubmed searches with the following key words, ‘microbiome’, ‘microbiome biomarkers’, ‘probiotics’, ‘prebiotics’, ‘synbiotics’, ‘faecal microbiota transplant’, ‘live biotherapeutics’, ‘microbiome mimetics’ and ‘postbiotics’.ResultsImproved understanding of the human microbiome and recent technological advances provide an opportunity to develop a new generation of therapies. These therapies will range from dietary interventions, prebiotic supplementations, single probiotic bacterial strains, human donor‐derived faecal microbiota transplants, rationally selected combinations of bacterial strains as live biotherapeutics, and the beneficial products or effects produced by bacterial strains, termed microbiome mimetics.ConclusionsAlthough methods to identify and refine these therapeutics are continually advancing, the rapid emergence of these new approaches necessitates accepted technological and ethical frameworks for measurement, testing, laboratory practices and clinical translation.
Semiparametric Distributed Lag Quantile Regression for Modeling Time-Dependent Exposure Mixtures
Authors: Wang Yuyan , Ghassabian Akhgar , Gu Bo , Afanasyeva Yelena , Li Yiwei , Trasande Leonardo , Liu Mengling 
Published: May 2022

Abstract
Studying time-dependent exposure mixtures has gained increasing attentions in environmental health research. When a scalar outcome is of interest, distributed lag (DL) models have been employed to characterize the exposures effects distributed over time on the mean of final outcome. However, there is a methodological gap on investigating time-dependent exposure mixtures with different quantiles of outcome. In this paper, we introduce semiparametric partial-linear single-index (PLSI) DL quantile regression, which can describe the DL effects of time-dependent exposure mixtures on different quantiles of outcome and identify susceptible periods of exposures. We consider two time-dependent exposure settings: discrete and functional, when exposures are measured in a small number of time points and at dense time grids, respectively. Spline techniques are used to approximate the nonparametric DL function and single-index link function, and a profile estimation algorithm is proposed. Through extensive simulations, we demonstrate the performance and value of our proposed models and inference procedures. We further apply the proposed methods to study the effects of maternal exposures to ambient air pollutants of fine particulate and nitrogen dioxide on birth weight in New York University Children's Health and Environment Study (NYU CHES).
Unanswered questions in cancer‐associated thrombosis
Authors: Sanfilippo Kristen M. , Moik Florian , Candeloro Matteo , Ay Cihan , Di Nisio Marcello , Lee Agnes Y. Y. 
Published: May 2022

SummaryCancer‐associated venous thromboembolism (VTE) is a leading cause of morbidity and mortality in patients with cancer. Treatment of cancer‐associated VTE comes with a heightened risk of anticoagulant‐related bleeding that differs by choice of anticoagulant as well as by patient‐ and disease‐specific risk factors. Available data from randomized controlled trials and observational studies in cancer‐associated VTE suggest that direct oral anticoagulants are effective, continuing anticoagulation beyond six months is indicated in those with active cancer and that patients who develop ‘breakthrough’ thrombotic events can be effectively treated. We review the evidence that addresses these key clinical questions and offer pragmatic approaches in individualizing care. While significant investigative efforts over the past decade have made impactful advances, future research is needed to better define the factors that contribute to anticoagulant‐related bleeding and VTE recurrence, in order to aid clinical decision‐making that improves the care of patients with cancer‐associated VTE.
An appraisal on synthetic and pharmaceutical perspectives of quinoxaline 1,4‐di‐N‐oxide scaffold
Authors: Agrawal Neetu , Bhardwaj Aditya 
Published: May 2022

AbstractQuinoxaline 1,4‐di‐N‐oxides (QdNOs) exhibit multifaceted biological properties, wherein antimicrobial, anticancer, antitrypanosomal, and anti‐inflammatory properties are included. Because of their various activities in clinical practice and research, they have a wide spectrum of uses and possibilities. QdNOs have received a significant amount of attention, and research into their medicinal chemistry is still a part of experimental investigation and analytical studies. In this review, QdNOs are classified depending on their actions, which include antibacterial and anti‐mycobacterial, anticancer or antitumor, antimalarial, antifungal, and other activities. In a conclusion, it's important to base the development of novel synthetic techniques and the design of new QdNO derivatives on the most up‐to‐date knowledge gleaned from recent research. With the summarised structure–activity relationship of fascinating QdNOs, this review aims to provide insights into the developments in the chemistry and biological activity of QdNO derivatives.
Learning from Shader Program Traces
Authors: Yang Y. , Barnes C. , Finkelstein A. 
Published: May 2022

AbstractDeep learning for image processing typically treats input imagery as pixels in some color space. This paper proposes instead to learn from program traces of procedural fragment shaders – programs that generate images. At each pixel, we collect the intermediate values computed at program execution, and these data form the input to the learned model. We investigate this learning task for a variety of applications: our model can learn to predict a low‐noise output image from shader programs that exhibit sampling noise; this model can also learn from a simplified shader program that approximates the reference solution with less computation, as well as learn the output of postprocessing filters like defocus blur and edge‐aware sharpening. Finally we show that the idea of learning from program traces can even be applied to non‐imagery simulations of flocks of boids. Our experiments on a variety of shaders show quantitatively and qualitatively that models learned from program traces outperform baseline models learned from RGB color augmented with hand‐picked shader‐specific featues like normals, depth, and diffuse and specular color. We also conduct a series of analyses that show certain features within the trace are more important, and even learning from a small subset of the trace outperforms the baselines.
MoCo‐Flow: Neural Motion Consensus Flow for Dynamic Humans in Stationary Monocular Cameras
Authors: Chen Xuelin , Li Weiyu , Cohen‐Or Daniel , Mitra Niloy J. , Chen Baoquan 
Published: May 2022

AbstractSynthesizing novel views of dynamic humans from stationary monocular cameras is a specialized but desirable setup. This is particularly attractive as it does not require static scenes, controlled environments, or specialized capture hardware. In contrast to techniques that exploit multi‐view observations, the problem of modeling a dynamic scene from a single view is significantly more under‐constrained and ill‐posed. In this paper, we introduce Neural Motion Consensus Flow (MoCo‐Flow), a representation that models dynamic humans in stationary monocular cameras using a 4D continuous time‐variant function. We learn the proposed representation by optimizing for a dynamic scene that minimizes the total rendering error, over all the observed images. At the heart of our work lies a carefully designed optimization scheme, which includes a dedicated initialization step and is constrained by a motion consensus regularization on the estimated motion flow. We extensively evaluate MoCo‐Flow on several datasets that contain human motions of varying complexity, and compare, both qualitatively and quantitatively, to several baselines and ablated variations of our methods, showing the efficacy and merits of the proposed approach. Pretrained model, code, and data will be released for research purposes upon paper acceptance.
The 3D Motorcycle Complex for Structured Volume Decomposition
Authors: Brückler Hendrik , Gupta Ojaswi , Mandad Manish , Campen Marcel 
Published: May 2022

AbstractThe so‐called motorcycle graph has been employed in recent years for various purposes in the context of structured and aligned block decomposition of 2D shapes and 2‐manifold surfaces. Applications are in the fields of surface parametrization, spline space construction, semi‐structured quad mesh generation, or geometry data compression. We describe a generalization of this motorcycle graph concept to the three‐dimensional volumetric setting. Through careful extensions aware of topological intricacies of this higher‐dimensional setting, we are able to guarantee important block decomposition properties also in this case. We describe algorithms for the construction of this 3D motorcycle complex on the basis of either hexahedral meshes or seamless volumetric parametrizations. Its utility is illustrated on examples in hexahedral mesh generation and volumetric T‐spline construction.
Effects of pre‐surgical aerobic dance‐based exercise on lower extremity in people with morbid obesity awaiting bariatric surgery: Randomized controlled study
Authors: Tokgoz Gulfidan , Arman Nilay , Seyit Hakan , Karabulut Mehmet 
Published: May 2022

SummaryTo investigate what are the effects of pre‐surgical aerobic dance‐based exercise programme (PSADBE) and physical activity counselling (PAC) programme on lower extremity functions after surgery in people with morbid obesity awaiting bariatric surgery (PMOABS). This study was a single‐blind, randomized controlled study. Groups were divided into Group I (PSADBE and PAC) and Group II (PAC). Both groups received PAC, Group I completed the PSADBE programme accompanied by music for 60 min/2 days/8 weeks. Thirty‐four PMOABS were included in the study. The 6‐Minute Walking Test, as primary outcomes, and The Stair Climbing Up‐Down Test for evaluating functional capacity, Biodex Isokinetic Test and Exercise System® for evaluating muscle strength were used. Besides, muscle endurance, physical activity (PA) level, fatigue and quality of life (QoL) were also assessed. All measurements were repeated three times; pre‐treatment, post‐treatment and the fifth‐month post‐surgery. After 8 weeks, significant changes were found in functional capacity, muscle strength and endurance, PA level, fatigue and QoL in both groups (p < .05). Comparing the groups, the changes in functional capacity, muscle strength and endurance, PA and fatigue scores after treatment and the fifth‐month post‐surgery were statistically superior in Group I (p < .05). Adding an 8‐week PSADBE programme to PAC is an effective treatment option for improving postoperative functional capacity, muscle strength and endurance, PA level and fatigue in PMOABS.
Simultaneity as an Emergent Property of Efficient Communication in Language: A Comparison of Silent Gesture and Sign Language
Authors: Slonimska Anita , Özyürek Asli , Capirci Olga 
Published: May 2022

AbstractSign languages use multiple articulators and iconicity in the visual modality which allow linguistic units to be organized not only linearly but also simultaneously. Recent research has shown that users of an established sign language such as LIS (Italian Sign Language) use simultaneous and iconic constructions as a modality‐specific resource to achieve communicative efficiency when they are required to encode informationally rich events. However, it remains to be explored whether the use of such simultaneous and iconic constructions recruited for communicative efficiency can be employed even without a linguistic system (i.e., in silent gesture) or whether they are specific to linguistic patterning (i.e., in LIS). In the present study, we conducted the same experiment as in Slonimska et al. (2020) with 23 Italian speakers using silent gesture and compared the results of the two studies. The findings showed that while simultaneity was afforded by the visual modality to some extent, its use in silent gesture was nevertheless less frequent and qualitatively different than when used within a linguistic system. Thus, the use of simultaneous and iconic constructions for communicative efficiency constitutes an emergent property of sign languages. The present study highlights the importance of studying modality‐specific resources and their use for linguistic expression in order to promote a more thorough understanding of the language faculty and its modality‐specific adaptive capabilities.
Premiums between Cross‐listed Shares: Determinants and Assessment of Financial Reform Policy Effectiveness
Authors: Zhang Xuechun , Xu Ruihui , Liu Xue 
Published: May 2022

AbstractThis paper explores determinants of price premiums between A‐share and American depositary receipts (ADR) or H‐share and sheds light on policies using daily data from cross‐listed companies from 2002–2020. Market sentiment and financial openness are critical in explaining both types of price premiums. Expected exchange rate changes significantly impact the A‐share versus ADR premium but liquidity is essential for the A‐share versus H‐share premium. The introduction of Shanghai–Hong Kong Stock Connect in November 2014 has effectively increased the price discovery capacity of the A‐share market, and investors were more adaptive to the RMB foreign exchange rate volatility after Chinese exchange rate system reform in 2015. The paper provides insights into future capital market reform in China.
Temporal correlations among demographic parameters are ubiquitous but highly variable across species
Authors: Fay Rémi , Hamel Sandra , van de Pol Martijn , Gaillard Jean‐Michel , Yoccoz Nigel G. , Acker Paul , Authier Matthieu , Larue Benjamin , Le Coeur Christie , Macdonald Kaitlin R. , Nicol‐Harper Alex , Barbraud Christophe , Bonenfant Christophe , Van Vuren Dirk H. , Cam Emmanuelle , Delord Karine , Gamelon Marlène , Moiron Maria , Pelletier Fanie , Rotella Jay , Teplitsky Celine , Visser Marcel E. , Wells Caitlin P. , Wheelwright Nathaniel T. , Jenouvrier Stéphanie , Sæther Bernt‐Erik 
Published: May 2022

AbstractTemporal correlations among demographic parameters can strongly influence population dynamics. Our empirical knowledge, however, is very limited regarding the direction and the magnitude of these correlations and how they vary among demographic parameters and species’ life histories. Here, we use long‐term demographic data from 15 bird and mammal species with contrasting pace of life to quantify correlation patterns among five key demographic parameters: juvenile and adult survival, reproductive probability, reproductive success and productivity. Correlations among demographic parameters were ubiquitous, more frequently positive than negative, but strongly differed across species. Correlations did not markedly change along the slow‐fast continuum of life histories, suggesting that they were more strongly driven by ecological than evolutionary factors. As positive temporal demographic correlations decrease the mean of the long‐run population growth rate, the common practice of ignoring temporal correlations in population models could lead to the underestimation of extinction risks in most species.
How network size strongly determines trophic specialisation: A technical comment on Luna et al. (2022)
Authors: Brimacombe Chris , Bodner Korryn , Fortin Marie‐Josée 
Published: May 2022

AbstractLuna et al. (2022) concluded that the environment contributes to explaining specialisation in open plant–pollinator networks. When reproducing their study, we instead found that network size alone largely explained the variation in their specialisation metrics. Thus, we question whether empirical network specialisation is driven by the environment.