bluuebunny/crossref_metadata_2025_split huggingface dataset:
A balanced digital diet for under 5s: A commentary on Orben (2021)
Authors: Bidgood Amy , Taylor Gemma , Kolak Joanna , Bent Eve Marie , Hickman Nicola 
Published: January 2022

AbstractOrben (2021) proposed a ‘Digital Diet’ approach to thinking about children's consumption of digital media. Here, we consider the Digital Diet with a focus on young children under 5. As well as discussing how Type and Amount apply to this age group, we argue that Balance needs to be considered differently for young children, and their families, compared to older children and adolescents. Considering the developmental needs of preschool children, we suggest that Balance must include not only a balance of activities within the digital world, but beyond it. The Digital Diet should be part of a wider healthy lifestyle, involving a range of activities and, crucially, social interaction. We also suggest an additional dietary factor: Timing of digital media use. Supporting children to form healthy Digital Diet habits early in life, may enable them to maintain a healthy digital lifestyle themselves as they continue to grow.
Composition analysis of white mineral pigment based on convolutional neural network and Raman spectrum
Authors: Qi Wenbo , Mu Taotao , Chen Shaohua , Wang Yao 
Published: January 2022

AbstractExploiting portable Raman equipment to analyze the composition of mineral pigments has the advantages of convenience and speed. However, this method is more susceptible to ambient light, so it is necessary to develop an effective Raman spectrum identification method. Several studies have recently employed machine learning algorithms to automatically identify the Raman spectra of pigments and have revealed appealing results. Hence, in this paper, we propose a deep convolutional neural network that exploits portable Raman equipment to identify the components of white mineral pigments. Compared with classic methods, our technique achieved a higher matching rate of up to 98.7%. The experimental results show that the proposed method can analyze the composition of white mineral pigments in a real‐time, nondestructive, and accurate manner without requiring pretreatment of the spectra. We believe that our proposed method will be an essential tool for the detection of pigment components in archeological sites.
Dehydration rate of the glycine‐MgSO4·5H2O complex and the stability of glycine expelled from the complex by in situ Raman spectroscopy under Mars‐relevant conditions
Authors: Bonales Laura J. , Rodríguez‐Villagra Nieves , Fernandez‐Sampedro Maite , Mateo‐Martí Eva 
Published: January 2022

AbstractIn this work, we studied the dehydration process of the glycine‐MgSO4·5H2O complex under Mars‐relevant conditions (99% CO2 and 0.6% H2O under ultra violet (UV) irradiation exposure at 7‐mbar pressure and high vacuum conditions: 8 × 10−5 and 5 × 10−5 mbar) by in situ Raman spectroscopy inside a planetary atmosphere and surface chamber (PASC). This work provides quality Raman spectra taken under simulated planetary conditions (to be integrated in a database), as Raman spectroscopy forms part of the current and upcoming NASA and ESA Mars planetary missions. The results demonstrate that Raman spectroscopy can be used to calculate rates of dehydration of the glycine‐MgSO4·5H2O compound to study the chemical stability with respect to photodecomposition (1) of metal‐bound glycine molecules forming the complex and (2) glycine expelled from the complex, both under Mars‐simulated conditions; finally, Raman spectroscopy can also be used to quantify intermolecular interactions in terms of local pressures. Importantly, advanced detection of water molecules as part of a complex with astrobiological interest under planetary conditions plays a crucial role in planetary missions.
Breeding expansion of sandhill cranes in Quebec
Authors: Casabona I Amat Clara , Adde Antoine , Mazerolle Marc J. , Lepage Christine , Darveau Marcel 
Published: January 2022

AbstractSandhill cranes (Antigone canadensis) were broadly extirpated from much of their historical range in North America at the beginning of the twentieth century. Various conservation‐related legislation, such as the United States Migratory Bird Treaty Act, have assisted with population recovery. The eastern population of sandhill cranes has been growing rapidly since the 1980s and is thought to have expanded its geographic range to Quebec, Canada. Understanding the colonization and habitat use by the species in previously unoccupied breeding areas is necessary to develop and apply management measures. Using a dynamic occupancy modeling approach, we investigated the recent colonization and extirpation patterns of sandhill cranes in Quebec from 2004–2019. We combined data from 3 data sets (helicopter surveys, breeding bird atlas surveys, and eBird) to increase the spatial coverage and the number of species occurrence records while accounting for imperfect detection probability. Detection probability was highest for the helicopter survey (0.70), whereas the 2 other data sets had relatively low detection levels (0.10–0.26). Based on a simulation study, we found that excluding the eBird data from the analysis produced more biased estimates than excluding the atlas and helicopter survey data sets. Throughout the study, sandhill cranes seemed to have completed their colonization of western Quebec and only recently started to nest in eastern areas. Initial occupancy increased with wetland cover and colonization probability increased weakly with the cover of agricultural areas, suggesting that in our study area sandhill cranes rely essentially on natural wetlands during the breeding season.
Use of predictive distribution models to describe habitat selection by bats in Colorado, USA
Authors: Neubaum Daniel J. , Aagaard Kevin 
Published: January 2022

AbstractNumerous processes operating at landscape scales threaten bats (e.g., habitat loss, disease). Temperate bat species are rarely examined at commensurate scales because of logistical and modeling constraints. Recent modeling approaches now allow for presence‐only datasets, like those often available for bats, to assist with the development of predictive distribution models. We describe the use of presence‐only data and rigorous predictive distribution models to examine habitat selection by bats across Colorado, USA. We applied hierarchical Bayesian models to bat locations from 1906–2018 to examine relationships of 13 species with landscape covariates. We considered differences in type of activity (foraging, roosting, hibernation), seasonality (summer vs. winter), and scale (1, 5, 10, and 15‐km buffers). These findings generated statewide probability of use models to guide management of bat species in response to threats (e.g., white‐nose syndrome [WNS]). Analysis of buffers suggest selection of land cover and environmental covariates occurs at different scales depending on the species and activity. Pinyon (Pinus spp.)‐juniper (Juniperus spp.) appeared as a positive association in the highest number of models, followed by montane woodland, supporting the importance of these forest types to bats in Colorado. Other covariates commonly associated with bats in Colorado include westerly longitudes, and negative associations with montane shrubland. Mechanical treatments within pinyon‐juniper and montane woodlands should be conducted with caution to avoid harming bat communities. We developed hibernation models for only 2 species, making apparent the lack of winter records for bat species in the state. We also provide a composite predictive surface of small‐bodied bats in Colorado that delineates where these species, vulnerable to WNS, converge. This tool provides managers with focal points to apply surveillance and response strategies for the impending arrival of the disease.
Modeled approaches to estimating blue carbon accumulation with mangrove restoration to support a blue carbon accounting method for Australia
Authors: Lovelock Catherine E. , Adame M. Fernanda , Butler Don W. , Kelleway Jeffrey J. , Dittmann Sabine , Fest Benedikt , King Karen J. , Macreadie Peter I. , Mitchell Katherine , Newnham Mark , Ola Anne , Owers Christopher J. , Welti Nina 
Published: January 2022

AbstractThe development and refinement of methods for estimating organic carbon accumulation in biomass and soils during mangrove restoration and rehabilitation can encourage uptake of restoration projects for their ecosystem services, including those of climate change mitigation, or blue carbon. To support the development of a blue carbon method for Australia under the Emission Reduction Fund scheme we investigated; (1) whether carbon accumulation data from natural mangroves could be used to estimate carbon accumulation during restoration; (2) modeling mangrove biomass accumulation; and (3) how modeled carbon accumulation could be achieved over heterogeneous sites. First, we assessed carbon accumulation in soil and biomass pools from the global literature, finding that estimating carbon accumulation using data from natural mangroves provided similar estimates as those for restored or rehabilitated mangroves. We assessed mangrove biomass accumulation from global chronosequence studies, which we used to develop regional models for estimating biomass accumulation with restoration in Australia using values from local natural mangroves. Estimating biomass carbon accumulation using site‐based means of stand biomass provided similar estimates as values estimated through use of regional means values stratified by elevation; and reduced overestimates of biomass carbon accumulation that were based on regional mean values. Modeling soil carbon accumulation over environmentally heterogeneous project sites can apply a similar approach, stratifying over variation in site elevation. Our analysis provides a strategy for modeling blue carbon pools for an Australian blue carbon method that accommodates regional differences and is based on data from natural mangroves.
Long‐term efficacy of lymphovenous anastomosis for the treatment of retroperitoneal lymphangiectasia: A case report and a review of literature
Authors: Lee Christina Dami , Kwiecien Grzegorz , Wenzinger Eric J. , Lee Irene , Cakmakoglu Cagri , Schwarz Graham S. 
Published: January 2022

AbstractLymphovenous anastomosis (LVA) represents an alternative treatment for retroperitoneal lymphangiectasia. In contrast to sclerotherapy or excision, which may risk lymphatic obstruction and subsequent lymphedema, LVA preserves existing lymphatic architecture and transit. This report shows long‐term efficacy of LVA for functional decompression of a symptomatic pathologically dilatated retroperitoneal lymphatics. A 47‐year‐old female with retroperitoneal lymphangiectasia refractory to multiple percutaneous drainages and treatments with sclerosing agents underwent LVA with anastomosis of a dominant segment of retroperitoneal lymphangiectasia to the deep inferior epigastric vein. Postoperative serial magnetic resonance imaging with 3‐dimensional volume calculation over the 27 months follow‐up showed evidence of decompression of the lesion with patent bypass. There were no known immediate complications nor requirement of further interventions. The patient's subjective pain also decreased substantially. This report confirms long‐term efficacy of LVA for retroperitoneal lymphangiectasia as an alternative to sclerotherapy and surgical excision in the setting of previously failed treatments.
Capacity allocation in a service system with preferred service completion times
Authors: Çavdar Bahar , Işık Tuğçe 
Published: January 2022

AbstractRetailers use different mechanisms to enable sales and delivery. A relatively new offering by companies is curbside pickup where customers purchase goods online, schedule a pickup time, and come to a pickup facility to collect their orders. To model this service structure, we consider a service system where each arriving job has a preferred service completion time. Unlike most service systems that operate on a first‐come‐first‐serve basis, the service provider makes a strategic decision for when to serve each job considering their requested times and the associated costs. For most of our results, we assume that all jobs must be served before or on their requested time period, and the jobs are handled in overtime when capacity is insufficient. Costs are incurred both for overtime and early service. We model this problem as a Markov decision process. For small systems, we show that optimal capacity allocation policies are of threshold type and provide additional structural results for special cases. Building on these results, we devise two capacity allocation heuristics that use a threshold structure for general systems. The computational results show that our heuristics find near‐optimal solutions, and dependably outperform the benchmark heuristics even in larger systems. We conclude that there is a considerable benefit in using our heuristics as opposed to a very greedy or a very prudent benchmark heuristic, especially when the early service costs are not prohibitively high and the service capacity is scarce or there are high volumes of customer arrivals. Our results also demonstrate that as the length of the customer order horizon increases, performance of all heuristics deteriorate but the benefits of using our threshold heuristic remain considerable. Finally, we provide guidelines to select an appropriate solution method considering the trade‐off between solution quality and computation time.
The use of very low‐calorie diets in subjects with obesity complicated with nonalcoholic fatty liver disease: A scoping review
Authors: Herrington Grant J. , Peterson Joshua J. , Cheng Linhai , Allington Benjamin M. , Jensen Renato D. , Healy Heather S. , Correia Marcelo L. G. 
Published: January 2022

AbstractThis scoping review synthesizes the existing research on the use of very low‐calorie diets (VLCDs) in subjects with nonalcoholic fatty liver disease (NAFLD) and end‐stage liver disease (ESLD). 19 studies were included, of which 5 were clinical trials, 11 were cohort studies, 1 was a case‐control study, and 2 were case series totaling 968 subjects. About 17 studies were focused on patients with NAFLD while the two case series described in patients with ESLD on the transplant list or post‐liver transplant. Six studies included subjects managed with VLCDs prior bariatric surgery. Most studies were short term and demonstrated acute improvement of diverse liver biomarkers including liver function tests, indices of hepatosteatosis and reduction in liver size. Adherence rates in these studies were between 69% and 93%. Eight studies did not report any adverse events and four subjects were reported to have discontinued VLCD due to adverse effects in two different studies. Aggregated adverse events were mild. Treatments based on VLCD in subjects with NAFLD seem to be safe and tolerable but can result in mild adverse effects. The findings of this scoping review suggest that the use of VLCD in patients with obesity complicated with NAFLD and potentially in ESLD appear to be effective to induce weight loss and to acutely reduce hepatosteatosis.
POSS‐modified ammonium polyphosphate for improving flame retardant of epoxy resins
Authors: Feng Yanling , Wu Wei , Wang Zhengyi , Zhao Tianyu 
Published: January 2022

AbstractAn innovative phosphorus‐silicone flame retardant (KAPP‐OGPOSS) was prepared by grafting octa (propyl glycidyl ether) polyhedral oligomeric silsesquioxane (OGPOSS) on ammonium polyphosphate (APP) through silane coupling agent (KH‐550). The chemical structure, morphology, flame retardancy, and mechanism of the obtained materials were comprehensively investigated. TG results demonstrated that EP with 15 wt% KAPP‐OGPOSS produced a char residue of 42.6% at 700°C, which is three times that of pure EP. The flame retardant tests showed that the limiting oxygen index value of EP/15 wt% KAPP‐OGPOSS was 30.6% (67.7% higher than that of neat EP) and its UL‐94 grade reached to V‐0 rating. Cone calorimeter testing indicated that the incorporation of 15 wt% KAPP‐OGPOSS to EP significantly reduced heat, smoke, CO, and CO2 release by 79%, 83%, 80%, and 82.5%, respectively. The modification of APP with OGPOSS was also beneficial for the improvement of the char yield and density of char. A flame retardant mechanism was revealed according to the investigation into the char residue. This modified approach provided an innovative yet practical means of enhancing the flame retardant properties of EP.
Preparation of polybenzimidazole‐based mixed matrix membranes containingmodified‐COK‐12 mesoporous silica and evaluation of the mixed‐gas separation performance
Authors: Castruita‐de León Griselda , Montes‐Luna Ángel de Jesús , Yeverino‐Miranda Claudia Y. , Alvarado‐Tenorio Germán , Meléndez‐Ortiz Héctor Iván , Pérez‐Camacho Odilia , García‐Cerda Luis Alfonso 
Published: January 2022

AbstractThis work reports the preparation and characterization of mixed matrix membranes (MMMs) based on mesoporous ordered COK‐12 silica modified with 3‐aminopropyltrimethoxysilane as filler, and a series of polybenzimidazoles with different main‐chain structure as polymer matrix. Polybenzimidazoles (PBIs) were prepared from 3,3′‐diaminobenzidine and several dicarboxylic acids with different chemical structure. The physicochemical studies, as well as thermal, structural, and morphological properties of MMMs were determined by Fourier transform infrared spectroscopy, thermogravimetric analysis, X‐ray diffraction (XRD), and scanning electron microscopy. In addition, gas permeability properties of MMMs were tested by using a gas mixture of CO2/CH4at different upstream pressures. Results indicated that thermal stability of PBI above 400°C is kept even after the addition of the modified COK‐12 silica. Thed‐spacing of the PBI membranes determined by XRD was slightly increased with the addition of the modified COK‐12 silica particles. The permeability tests carried out at operating pressures of 50 and 150 psi showed that the addition of amino‐modified COK‐12 silica particles improved significantly the CO2permeability of MMMs with respect to the pristine PBI. At the same time, the selectivity values were also enhanced, which in some cases were found to be more than double compared to the respective pristine membrane. The contribution of the modified COK‐12 silica on the gas transport properties was more promising in MMMs comprising PBIs with less rigid backbone chemical structure.
Elucidation of the protein composition of mouse seminal vesicle fluid
Authors: Smyth Shannon P. , Nixon Brett , Anderson Amanda L. , Murray Heather C. , Martin Jacinta H. , MacDougall Lily A. , Robertson Sarah A. , Skerrett‐Byrne David A. , Schjenken John E. 
Published: January 2022

AbstractThe seminal vesicles are male accessory sex glands that contribute the major portion of the seminal plasma in which mammalian spermatozoa are bathed during ejaculation. In addition to conveying sperm through the ejaculatory duct, seminal vesicle secretions support sperm survival after ejaculation, and influence the female reproductive tract to promote receptivity to pregnancy. Analysis of seminal vesicle fluid (SVF) composition by proteomics has proven challenging, due to its highly biased protein signature with a small subset of dominant proteins and the difficulty of solubilizing this viscous fluid. As such, publicly available proteomic datasets identify only 85 SVF proteins in total. To address this limitation, we report a new preparative methodology involving sequential solubilization of mouse SVF in guanidine hydrochloride, acetone precipitation, and analysis by label‐free mass spectrometry. Using this strategy, we identified 126 SVF proteins, including 83 previously undetected in SVF. Members of the seminal vesicle secretory protein family were the most abundant, accounting for 79% of all peptide spectrum matches. Functional analysis identified inflammation and formation of the vaginal plug as the two most prominent biological processes. Other notable processes included modulation of sperm function and regulation of the female reproductive tract immune environment. Together, these findings provide a robust methodological framework for future SVF studies and identify novel proteins with potential to influence both male and female reproductive physiology.
Fusarium graminearumFgSdhC1 point mutation A78V confers resistance to the succinate dehydrogenase inhibitor pydiflumetofen
Authors: Shao Wenyong , Wang Jingrui , Wang Huiyuan , Wen Ziyue , Liu Chao , Zhang Yu , Zhao Youfu , Ma Zhonghua 
Published: January 2022

AbstractBACKGROUNDFusarium head blight (FHB) caused by Fusarium graminearum complex (Fg) is a devastating disease of cereal crops worldwide. The succinate dehydrogenase inhibitor, pydiflumetofen, was registered for management of FHB in China in 2019. Previously, laboratory‐induced pydiflumetofen‐resistant (PyR) mutants of Fg have been characterized. However, resistance situation of Fg to pydiflumetofen in the field remains largely unknown.RESULTSAfter screening 6468 isolates of Fg from various regions of China, six PyR isolates were identified. All six resistant isolates exhibited no fitness penalties based on mycelial growth, conidiation and virulence. However, no cross‐resistance between pydiflumetofen and azoxystrobin, tebuconazole or fludioxonil in Fg was detected. Genome‐sequencing revealed that all six PyR isolates contained a point mutation A78V in FgSdhC1 (FgSdhC1A78V). Genetic replacement assay further confirmed that FgSdhC1A78V conferred resistance of Fg to pydiflumetofen. Based on this, a mismatch allele‐specific polymerase chain reaction was developed for rapidly detecting the PyR isolates containing the FgSdhC1A78V mutation in Fg.CONCLUSIONThis is the first time that resistance of Fg to pydiflumetofen in the field was reported and point mutation FgSdhC1A78V conferring resistance of Fg to pydiflumetofen was confirmed. This study provides critical information for monitoring and managing pydiflumetofen resistance in Fg.
Centralized moving‐horizon estimation for a class of nonlinear dynamical complex networks under event‐triggered transmission scheme
Authors: Gao Ming , Wang Zidong , Sheng Li , Zou Lei , Liu Hongjian 
Published: January 2022

AbstractThis article is concerned with the problem of event‐triggered centralized moving‐horizon state estimation for a class of nonlinear dynamical complex networks. An event‐triggered scheme is employed to reduce unnecessary data transmissions between sensors and estimators, where the signal is transmitted only when certain condition is violated. By treating sector‐bounded nonlinearities as certain sector‐bounded uncertainties, the addressed centralized moving‐horizon estimation problem is transformed into a regularized robust least‐squares problem that can be effectively solved via existing convex optimization algorithms. Moreover, a sufficient condition is derived to guarantee the exponentially ultimate boundedness of the estimation error, and an upper bound of the estimation error is also presented. Finally, a numerical example is provided to demonstrate the feasibility and efficiency of the proposed estimator design method.