bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insights into forming behavior and CO2 adsorption properties of graphene from Sargassum horneri by Fe(NO3)3/KOH activation
Authors: Zeng Ganning , Lou Sa , Lou Fengyan , Du Mingming , Luo Hongwei , Ai Ning 
Published: June 2022

AbstractBACKGROUNDMacroalgae biomass as a graphene source shows great potential at large scale in an energy shortage era. To achieve a more moderate and economic graphene synthesis method, porous graphenes were synthesized using Sargassum horneri as precursor, in combination with Fe(NO3)3 and KOH composite.RESULTSThe addition of 10 wt% Fe(NO3)3 obviously accelerated KOH activation and decreased KOH loading and reaction temperature. Meanwhile, the graphene synthesized by Fe(NO3)3/KOH had better regeneration performance than that activated merely by KOH, even under more moderate thermal condition. The porous graphene displayed high specific surface area (~2311 m2 g−1) and exhibited good CO2 uptake capacity (~4.39 mmol g−1) at 30 °C and 1 bar. The CO2 adsorption rate equations of the graphene were consistent with the intraparticle diffusion model, indicating that CO2 adsorption was mainly controlled by the pore structure and additionally influenced by the chemical functional groups.CONCLUSIONThe present work focuses on the high value‐added comprehensive utilization of macroalgae, which not only has important significance for on‐scale preparation of bio‐originated graphene and CO2 adsorption, but also has positive benefits for macroalgae resource development. © 2022 Society of Chemical Industry (SCI).
Use of mid‐infrared spectroscopy for quality monitoring and the prediction of physicochemical parameters of dry fermented chicken sausages enriched with sesame flour
Authors: Sangaré Moriken , Bony Jérôme , Chèné Christine , Lonseny Traoré , Karoui Romdhane 
Published: June 2022

AbstractBACKGROUNDThis study aimed to investigate the effects of the supplementation of sesame flour in fermented chicken sausages (‘S1’ containing 800 g kg−1 chicken fillet, 180 g kg−1 veal fat and 20 g kg−1 sesame flour and ‘S2’ containing 800 g kg−1 chicken fillet, 160 g kg−1 veal fat and 40 g kg−1 sesame flour) compared with control sausages (containing 800 g kg−1 chicken fillet and 200 g kg−1 veal fat) on the physico‐chemical characteristics, texture, and structure during the fermentation stage.RESULTSThe physicochemical parameters of samples belonging to the control, S1, and S2 batches were significantly affected by the addition of sesame flour and the fermentation stage. For instance: (i) the lowest protein content was observed for control samples on day 1 (61.4 ± 6.52 g kg−1) whereas the highest level was noted for S2 samples on day 15 (327.5 ± 22.2 g kg−1), and (ii) an inverse trend was observed for the fat content because the lowest content was observed for samples in the S2 batch on day 1 (129.0 ± 5.30 g kg−1) whereas the highest fat content was noted for samples belonging to control batch on day 15 (332.0 ± 1.29 g kg−1). The application of statistical methods to mid‐infrared spectroscopy allowed clear discrimination between control, S1, and S2 batches. The addition of sesame flour in the recipes induced some modification in the secondary structure because β‐turn levels ranged from 39.30 to 34.50, 36.76 to 34.70, and 38.93 to 34.70 for control, S1, and S2 batches, respectively, throughout the fermentation stage. Sodium dodecyl‐sulfate polyacrylamide gel electrophoresis (SDS‐PAGE) showed a similar protein profile pattern in the three batches on days 1 and 5, but on day 10 control and S2 batches showed the most intense degradation of myofibrillar proteins.CONCLUSIONThe results demonstrated that mid‐infrared spectroscopy coupled with chemometric tools could be used as a rapid screening tool to assess and monitor the quality of dry chicken sausages enriched with sesame flour throughout the fermentation stage. © 2022 Society of Chemical Industry.
Role of chemokine systems in cancer and inflammatory diseases
Authors: Li Hongyi , Wu Min , Zhao Xia 
Published: June 2022

AbstractChemokines are a large family of small secreted proteins that have fundamental roles in organ development, normal physiology, and immune responses upon binding to their corresponding receptors. The primary functions of chemokines are to coordinate and recruit immune cells to and from tissues and to participate in regulating interactions between immune cells. In addition to the generally recognized antimicrobial immunity, the chemokine/chemokine receptor axis also exerts a tumorigenic function in many different cancer models and is involved in the formation of immunosuppressive and protective tumor microenvironment (TME), making them potential prognostic markers for various hematologic and solid tumors. In fact, apart from its vital role in tumors, almost all inflammatory diseases involve chemokines and their receptors in one way or another. Modulating the expression of chemokines and/or their corresponding receptors on tumor cells or immune cells provides the basis for the exploitation of new drugs for clinical evaluation in the treatment of related diseases. Here, we summarize recent advances of chemokine systems in protumor and antitumor immune responses and discuss the prevailing understanding of how the chemokine system operates in inflammatory diseases. In this review, we also emphatically highlight the complexity of the chemokine system and explore its potential to guide the treatment of cancer and inflammatory diseases.
A partitioned iterative method based on externally embedded cooling water pipe elements for mass concrete temperature field
Authors: Chao Yang , Li Tongchun , Qi Huijun , Liu Xiaoqing , Cheng Jing 
Published: June 2022

AbstractPipe cooling is an important measure for controlling the temperature of mass concrete during the hydration period. In this paper, a new algorithm (partitioned iterative algorithm, PIA) is proposed to address the complicated process of dissecting cooling pipes in mass concrete and the difficulty of balancing the accuracy and efficiency of the simulation. The algorithm is based on the idea of finite element partitioning, where the water pipe element and the concrete element are considered as two computational parts. The coupling is used to consider the heat transfer between the water pipe and the concrete, avoiding the need to solve for the concrete temperature gradient in the vicinity of the pipe, which improves the efficiency of the algorithm. The comparison of the PIA and the discrete iterative algorithm (DIA) results demonstrates the agreement between the two algorithms in terms of computational accuracy and distribution pattern. In addition, the automatic creation and insertion of the pipe elements results in a significant improvement of the overall performance. Finally, the engineering example demonstrates that the results of the PIA at each observation point agree well with the measured values over the entire calculation time. The accuracy of the calculated peak temperature and the peak temperature age can both meet the engineering requirements.
Food insecurity is associated with higher respiratory quotient and lower glucagon‐like peptide 1
Authors: Booker Jetaun M. , Chang Douglas C. , Stinson Emma J. , Mitchell Cassie M. , Votruba Susanne B. , Krakoff Jonathan , Gluck Marci E. , Cabeza de Baca Tomás 
Published: June 2022

AbstractObjectiveFood insecurity is known to be associated with obesity, but its association with physiological measures is unclear. Therefore, it was hypothesized that, compared with food‐secure individuals, those with food insecurity would have higher 24‐hour energy expenditure (EE [kilocalories per day]) and 24‐hour respiratory quotient (RQ [ratio]). Subsequently, hormones involved in appetite regulation, substrate oxidation, and EE were explored.MethodsA total of 113 healthy participants without diabetes (75 men; mean [SD], age 40 [12] years; BMI 30 [8] kg/m2) were included in this analysis. Participants completed the Food Security Short Form, underwent a dual‐energy x‐ray absorptiometry scan, and spent 24 hours in a human respiratory chamber following a weight‐maintaining diet.ResultsCompared with individuals with food security, participants with food insecurity had no difference in 24‐hour EE. However, they had higher carbohydrate oxidation rates (p= 0.03) and lower lipid oxidation rates (p= 0.02), resulting in higher 24‐hour RQ (p< 0.01). They also had lower fasting glucagon‐like peptide 1 (p= 0.03) concentrations.ConclusionsFood insecurity is associated with higher 24‐hour RQ and lower fasting glucagon‐like peptide 1 concentrations, metabolic and hormonal differences previously shown to drive greater calorie intake in the setting of unrestricted food availability. These findings therefore provide new insight into the paradoxical link between restricted food access and increased adiposity.
Healthcare utilization and costs associated with acute lymphoblastic leukemia in children with and without Down syndrome
Authors: Athale Uma , Sutradhar Rinku , Breakey Vicky R. , Li Qing , Bassal Mylene , Gibson Paul , Patel Serina , Wheaton Laura , Pole Jason D. , Mittman Nicole , Pechlivanoglou Petros , Gupta Sumit 
Published: June 2022

AbstractBackgroundChildren with Down syndrome (DS) and acute lymphoblastic leukemia (ALL) are at increased risk of treatment‐related morbidity and mortality compared to non‐DS‐ALL, requiring increased supportive care. We examined the healthcare utilization and costs in DS‐ALL patients to inform future evaluations of novel therapies.MethodsA provincial registry identified all children (1–17 years) diagnosed with B‐lineage ALL in Ontario, Canada between 2002 and 2012. Detailed demographic, disease, treatment, and outcome data were abstracted. Linkage to population‐based health services databases identified all outpatient and emergency department (ED) visits, hospitalizations, and physician billings. Healthcare utilization costs were available for patients diagnosed during 2006–2012 using validated algorithms (2018 Canadian dollars). Healthcare utilization rates and costs were compared between DS and non‐DS patients using regression models, adjusting for all covariates.ResultsOf 711 patients, 28 (3.9%) had DS. Adjusting for all covariates, children with DS‐ALL experienced substantially higher rates of ED visits (rate ratio [RR] 1.5, 95% confidence interval [95% CI]: 1.2–2.0; p = .001) and inpatient days (RR 2.5, 95% CI: 1.4–4.5; p = .002) compared to non‐DS children. Outpatient visit rates were similar (RR 1.1, 95% CI: 0.9–1.3; p = .41). Among patients with available cost data (N = 533, DS = 19), median 5‐year healthcare utilization cost was $247,700 among DS patients (interquartile range [IQR]: 200,900–354,500) and $196,200 among non‐DS patients (IQR: 148,900–280,300; p = .02). In adjusted analyses, DS‐associated costs were 50% higher (RR 1.5, 95% CI: 1.2–1.9; p < .002).ConclusionsHealthcare utilization and treatment costs of DS‐ALL patients are substantially higher than those of non‐DS‐ALL. Our data provide a baseline for future DS‐specific cost‐effectiveness studies.
First Plant Cell Atlas symposium report
Authors: Rice Selena L. , Lazarus Elena , Anderton Christopher , Birnbaum Kenneth , Brophy Jennifer , Cole Benjamin , Dickel Diane , Ehrhardt David , Fahlgren Noah , Frank Margaret , Haswell Elizabeth , Huang Shao‐shan Carol , Leiboff Samuel , Libault Marc , Otegui Marisa S. , Provart Nicholas , Uhrig R. Glen , Rhee Seung Y. ,   The Plant Cell Atlas Consortium
Published: June 2022

AbstractThe Plant Cell Atlas (PCA) community hosted a virtual symposium on December 9 and 10, 2021 on single cell and spatial omics technologies. The conference gathered almost 500 academic, industry, and government leaders to identify the needs and directions of the PCA community and to explore how establishing a data synthesis center would address these needs and accelerate progress. This report details the presentations and discussions focused on the possibility of a data synthesis center for a PCA and the expected impacts of such a center on advancing science and technology globally. Community discussions focused on topics such as data analysis tools and annotation standards; computational expertise and cyber‐infrastructure; modes of community organization and engagement; methods for ensuring a broad reach in the PCA community; recruitment, training, and nurturing of new talent; and the overall impact of the PCA initiative. These targeted discussions facilitated dialogue among the participants to gauge whether PCA might be a vehicle for formulating a data synthesis center. The conversations also explored how online tools can be leveraged to help broaden the reach of the PCA (i.e., online contests, virtual networking, and social media stakeholder engagement) and decrease costs of conducting research (e.g., virtual REU opportunities). Major recommendations for the future of the PCA included establishing standards, creating dashboards for easy and intuitive access to data, and engaging with a broad community of stakeholders. The discussions also identified the following as being essential to the PCA's success: identifying homologous cell‐type markers and their biocuration, publishing datasets and computational pipelines, utilizing online tools for communication (such as Slack), and user‐friendly data visualization and data sharing. In conclusion, the development of a data synthesis center will help the PCA community achieve these goals by providing a centralized repository for existing and new data, a platform for sharing tools, and new analytical approaches through collaborative, multidisciplinary efforts. A data synthesis center will help the PCA reach milestones, such as community‐supported data evaluation metrics, accelerating plant research necessary for human and environmental health.
Process hazard considerations for utilization of renewable methane from biogas
Authors: Dee Sean J. , Hietala David C. , Sulmonetti Taylor P. 
Published: June 2022

AbstractBiogas production and use is a growing sector in the global alternative energy landscape. Biogas is a mixture of carbon dioxide and hydrocarbons (primarily methane) that is generated from the biological breakdown of organic material. This mixture can be separated and upgraded to produce renewable methane with a lower greenhouse gas footprint and cumulative energy demand than natural gas generated from fossil fuels. Biogas generation also typically provides an additional benefit of utilizing a waste stream as a feedstock. As industries and economies continue to produce organic waste, biogas and biomethane generation represent a large opportunity for production of sustainable fuels that can be used as drop‐in replacements for common fossil fuels. As a result, biogas generation and production of renewable methane are attractive technologies for industries with an aim to reduce their impact on the environment and meet sustainability goals. However, the production of biogas presents its own set of hazards and challenges that must be identified, analyzed, and mitigated. The paper will address common hazards (and how to manage the hazards) that a facility encounters when developing a project aimed at utilizing renewable methane through biogas generation.
Population dynamics of a poultry hematophagous mite: characterization of the population growth and identification of factors of its slowdown using closed mesocosms
Authors: Dupray Sébastien , Blatrix Rumsais , Roy Laurent J.M. , Soulié Anne‐Sophie , Dadu Liza , Degueldre David , Sleeckx Nathalie , Bicout Dominique J , Roy Lise 
Published: June 2022

AbstractBACKGROUNDA thorough knowledge of the population dynamics of pests and of the main factors affecting population growth is an important prerequisite for the development of effective control strategies. Failures of various treatments aimed at regulating populations of Dermanyssus gallinae are regularly reported in poultry farms and pullulations occur very quickly after first detection. To finely characterize population dynamics of D. gallinae, and to identify the factors modulating population growth, we conducted two successive multi‐generation experiments using closed mesocosms equipped with or without automatic counters and housing a host full‐ or part‐time (three nights per week).RESULTSPopulation growth was very rapid and the adult to juvenile ratio very different from the prediction by a mathematical model. A male‐biased sex ratio was observed in some mesocosms from 21 days and in most mesocosms from 35 days of population growth originating from an inoculum of adult females. A dramatic slowdown in growth was measured in mesocosms equipped with trackers, where the mites' path to the host was constrained. The slowdown in population growth induced by the intermittent presence of the host compared to its full‐time presence was much less marked.CONCLUSIONThese findings suggest avenues of research for new management methods. They question the relevance of a critical threshold based on traditional trap monitoring to manage D. gallinae. Our results highlight a unique characteristic of D. gallinae that makes it a recalcitrant case to threshold‐based practices recommended for integrated pest management (IPM) against other arthropod pests. The dramatic effect of a physical constraint for the mite to access the host (unnatural constrained path) confirms an observation made in 1917 and is a reason to design perches that are less conducive to parasite traffic. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Market‐inspired framework for securing assets in cloud computing environments
Authors: Tziakouris Giannis , Mera‐Gómez Carlos , Ramírez Francisco , Bahsoon Rami , Buyya Rajkumar 
Published: June 2022

AbstractSelf‐adaptive security methods have been extensively leveraged for securing software systems and users from runtime threats in online and elastic environments, such as the cloud. The existing solutions treat security as an aggregated quality by enforcing “one service for all” without considering the explicit security requirements of each asset or the costs associated with security. Dealing with the security of assets in ultra‐large environments calls for rethinking the way we select and compose services—considering not only the services but the underlying supporting computational resources in the process. We motivate the need for an asset‐centric, self‐adaptive security framework that selects and allocates services and underlying resources in the cloud. The solution leverages learning algorithms and market‐inspired approaches to dynamically manage changes in the runtime security goals/requirements of assets with the provision of suitable services and resources, while catering for monetary and computational constraints. The proposed framework aims to inform the self‐adaptive security efforts of security researchers and practitioners operating in dynamic large‐scale environments, such as the Cloud. To illustrate the utility of the proposed framework it is evaluated using simulation on an application based scenario, involving cloud‐based storage and security services.
Are Your Online Agile Retrospectives Psychologically Safe? the Usage of Online Tools
Authors: Khanna Dron , Wang Xiaofeng 
Published: June 2022

AbstractOne essential prerequisite for successful agile retrospective sessions is to accomplish a psychologically safe environment. Creating a psychologically safe environment for the co-located team is challenging. Further, it becomes more demanding with online agile retrospective teams. Literature sheds little light on creating a psychologically safe online environment for conducting agile retrospectives. Our study aims at addressing this knowledge gap and asks the research question: how does the usage of online tools influence psychological safety in online agile retrospectives? A single case study was conducted with a major software company’s Research and Development team. We analysed a recorded online retrospective session of the team to identify patterns of the usage of online tools associated with the online meeting platform they used and how that usage influenced the psychological safety level of the team. Our findings show that retrospective participants are psychologically safe if they share opinions, make mistakes, raise a problem, ask questions, and show consent using online tools. Our study contributes online tools that influence psychological safety factors, corresponding levels and behaviours.
Glueball-meson mixing in holographic QCD
Authors: Domokos Sophia K. , Mann Nelia 
Published: June 2022

Abstract
Top-down holographic QCD models often work in the “probe” (or “quenched”) limit, which assumes that the number of colors is much greater than the number of flavors. Relaxing this limit is essential to a fuller understanding of holography and more accurate phenomenological predictions. In this work, we focus on a mixing of glueball and meson mass eigenstates that arises from the DBI action as a finite Nf/Nc effect. For concreteness, we work in the Witten-Sakai-Sugimoto model, and show that this mixing must be treated in conjunction with the backreaction of the flavor branes onto the background geometry. Including the backreaction with the simplification that it is “smeared out” over the compact transverse direction, we derive a corrected effective action for the vector glueball and scalar states. Along the way, we observe a Stückelberg-like mechanism that restores translation invariance in the transverse direction. We also derive a general technique, that lends itself easily to numerics, for finding mass eigenstates of Lagrangians with vector-scalar mixing. We then calculate the first order corrections to the mass spectra of both the vector and scalar particles, and show that the term that explicitly mixes vector and scalar states is the most significant correction to the masses of low-lying scalar mesons.
Testing measurement invariance of mathematics self-concept and self-efficacy in PISA using MGCFA and the alignment method
Authors: Ding Yi , Yang Hansen Kajsa , Klapp Alli 
Published: June 2022

AbstractThe aim of the study is to investigate the measurement invariance of mathematics self-concept and self-efficacy across 40 countries that participated in the Programme for International Student Assessment (PISA) 2003 and 2012 cycles. The sample of the study consists of 271,760 students in PISA 2003 and 333,804 students in PISA 2012. Firstly, the traditional measurement invariance testing was applied in the multiple-group confirmatory factor analysis (MGCFA). Then, the alignment analyses were performed, allowing non-invariance to a minimum to estimate all of the parameters. Results from MGCFA indicate that mathematics self-concept and self-efficacy hold metric invariance across the 80 groups (cycle by country). The alignment method results suggest that a large proportion of non-invariance exists in both mathematics self-concept and self-efficacy factors, and the factor means cannot be compared across all participating countries. Results of the Monte Carlo simulation show that the alignment results are trustworthy. Implications and limitations are discussed, and some recommendations for future research are proposed.