bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microdosing flexibility in an efficient supply chain
Authors: Saunders Lance W. , Merrick Jason R.W. , Holcomb Mary C. 
Published: October 2020

AbstractThe designation of a supply chain as efficient or responsive has often been considered to be a dichotomy in theory and practice. This technical note explores this issue by describing an engagement by the research team with a large consumer packaged‐goods company within their cosmetics supply chain during the launch of a new product family. The company was experiencing high supply–demand mismatch costs that they attributed to their supply chain that was designed to emphasize efficiency over responsiveness. We analyzed the appropriateness of the supply‐chain design through the lens of theory and concluded that the efficient design was in fact a good match for the product. A simulation model allowed us to organize available data and identify the root cause of the mismatch costs. Results from the simulation showed that the mismatch costs stemmed primarily from a failure to deploy small but important responsiveness opportunities: Because the supply chain was designated as efficient, responsiveness was ignored, and this substantially increased mismatches. Mismatches also occurred because decision makers failed to distinguish between delivery and decision lead time.
β‐Cyclodextrin coupled to graphene oxide supported on aminopropyl silica as a sorbent material for determination of isoflavones
Authors: da Silva Luis Felipe , Lanças Fernando Mauro 
Published: October 2020

Abstractβ‐Cyclodextrin, coupled to graphene oxide supported on aminopropyl silica, was synthesized and characterized. This material was combined with microextraction by packed sorbent to act as the sample preparation step. The analytical method optimization was carried out by employing experimental design and had its figures of merit determined. The resulting linearity ranged from 1.0 to 200 μg/L for daidzein, from 2.0 to 200 μg/L for genistein, from 3.0 to 200 μg/L for formononetin, and from 2.0 to 200 μg/L for biochanin A with all R2 values above 0.993 and limit of quantification ranging from 0.5 to 1.5 μg/L. The accuracy ranged from 93.3 to 123.3%, and intraday and interday precision reported by the relative standard deviations were <16%. This work aimed to synthesize and evaluate cyclodextrins coupled to graphene‐based sorbents to be used as a high sorption capacity and selective sorbent for sample preparation of complex matrices using microextraction techniques. The synthesized material kept the high absorption characteristic of graphene‐based materials while maintaining the cyclodextrins’ selectivity to extract the target analyte. Four isoflavones were determined in soy‐based juice samples from the local market, confirming the excellent performance of the proposed method.
Multi‐horizon accommodation demand forecasting: A New Zealand case study
Authors: Zhu Min , Wu Jinran , Wang You‐Gan 
Published: October 2020

AbstractThis paper contributes to the filling of two gaps in accommodation demand forecasting: (a) the limited number of studies on the use of modern machine learning techniques to identify the dynamics of accommodation demand; and (b) the lack of understanding of comparative forecasting performance of different modelling techniques at multiple forecast horizons. We show that, as the forecast horizon increases, the performance of machine learning is stable and robust. We also find that the long short‐term memory has particular advantages in long‐horizon forecasting and handling data with complex structure in New Zealand.
Comparison of Woodland Caribou Calving Areas Determined by Movement Patterns Across Northern Ontario
Authors: Walker Philip D. , Rodgers Arthur R. , Shuter Jennifer L. , Thompson Ian D. , Fryxell John M. , Cook John G. , Cook Rachel C. , Merrill Eveyln H. 
Published: October 2020

ABSTRACTAdult female survival and calf recruitment influence population dynamics, but there is limited information on calving and neonatal mortality of boreal woodland caribou (Rangifer tarandus caribou; caribou) in Ontario, Canada. We identified calf parturition sites and 5‐week neonatal mortality using a movement‐based approach across 3 northern Ontario study regions (Pickle Lake, Nakina, and Cochrane) that vary in their capacity to support caribou populations. In comparing 22 caribou‐years of video‐collar footage during 2010–2013 to predictions of the movement‐based approach, we found live parturition events were 100% correctly classified, date of parturition was within 1.08 ± 0.28 ( ± SE) days, and mortality events up to 5 weeks postpartum were 88% correctly classified. Across study regions, 87% of 186 caribou were pregnant and 76% of 107 caribou‐years indicated birth events with median parturition dates a week later in Cochrane (23 May) than in Pickle Lake (17 May) and Nakina (16 May). Based on selection ratios of caribou‐years with calves‐at‐heel (n = 80), caribou consistently selected for lowlands and closed‐canopied forests and mostly against early‐seral stands (<20 yrs old) and areas near linear features during the neonatal and the post‐neonatal period (up to 35 days postpartum). Based on the video footage and movement models, 30% of 81 caribou‐years that indicated live births also showed females lost their calf within the first 5 weeks postpartum, with higher risk of neonatal mortality associated with increased use of lowlands and greater postpartum movement rates. This study provides informative metrics of caribou reproduction across northern Ontario that will contribute to future population modeling and identifies important landscape features to be considered in future industrial development and land use planning for caribou conservation. © 2020 The Wildlife Society.
Lessons for Today from an Early Outreach Effort in Oceanography: The 1884 Exposition of the Travailleur and the Talisman as Presented by the Press
Authors: Dolan John R. 
Published: October 2020

AbstractThe campaigns of the Travailleur and the Talisman (1880–1883) were the first French expeditions to explore the deep sea. In early 1884, the campaign participants mounted a temporary exhibition in the Paris Natural History Museum displaying specimens collected and the equipment used. The exhibition included not only fantastic creatures but also “hands‐on” items, such as water samplers and sounders that could be touched, and microscopes to examine sediment samples. It was an enormous success with the public. The success was probably partly due to the fact the main organizer, Alphonse Milne Edwards, was somewhat of a media figure of the time. Complaints that the exhibition space was too small for all the objects exhibited and the crowds attracted were explained by a claim that it was conceived to show expedition results to funding agencies and the scientific community; the crowds were unexpected. However, a review of the press coverage suggests that the organizers used the media very skillfully to promote it. Here the Exposition of the Travailleur and Talisman is presented as described through the press coverage to underline lessons for outreach today from this effort 136 yr ago.
The Scripps Plankton Camera system: A framework and platform for in situ microscopy
Authors: Orenstein Eric C. , Ratelle Devin , Briseño‐Avena Christian , Carter Melissa L. , Franks Peter J. S. , Jaffe Jules S. , Roberts Paul L. D. 
Published: October 2020

AbstractThe large data sets provided by in situ optical microscopes are allowing us to answer longstanding questions about the dynamics of planktonic ecosystems. To deal with the influx of information, while facilitating ecological insights, the design of these instruments increasingly must consider the data: storage standards, human annotation, and automated classification. In that context, we detail the design of the Scripps Plankton Camera (SPC) system, an in situ microscopic imaging system. Broadly speaking, the SPC consists of three units: (1) an underwater, free‐space, dark‐field imaging microscope; (2) a server‐based management system for data storage and analysis; and (3) a web‐based user interface for real‐time data browsing and annotation. Combined, these components facilitate observations and insights into the diverse planktonic ecosystem. Here, we detail the basic design of the SPC and briefly present several preliminary, machine‐learning‐enabled studies illustrating its utility and efficacy.
Effects of Processing Parameters of 3D Bioprinting on the Cellular Activity of Bioinks
Authors: Adhikari Jaideep , Roy Avinava , Das Anindya , Ghosh Manojit , Thomas Sabu , Sinha Arijit , Kim Jinku , Saha Prosenjit 
Published: October 2020

AbstractIn this review, few established cell printing techniques along with their parameters that affect the cell viability during bioprinting are considered. 3D bioprinting is developed on the principle of additive manufacturing using biomaterial inks and bioinks. Different bioprinting methods impose few challenges on cell printing such as shear stress, mechanical impact, heat, laser radiation, etc., which eventually lead to cell death. These factors also cause alteration of cells phenotype, recoverable or irrecoverable damages to the cells. Such challenges are not addressed in detail in the literature and scientific reports. Hence, this review presents a detailed discussion of several cellular bioprinting methods and their process‐related impacts on cell viability, followed by probable mitigation techniques. Most of the printable bioinks encompass cells within hydrogel as scaffold material to avoid the direct exposure of the harsh printing environment on cells. However, the advantages of printing with scaffold‐free cellular aggregates over cell‐laden hydrogels have emerged very recently. Henceforth, optimal and favorable crosslinking mechanisms providing structural rigidity to the cell‐laden printed constructs with ideal cell differentiation and proliferation, are discussed for improved understanding of cell printing methods for the future of organ printing and transplantation.
Cyclic Expansion/Compression of the Air–Liquid Interface as a Simple Method to Produce Silk Fibers
Authors: Kvick Mathias , Tasiopoulos Christos P. , Barth Andreas , Söderberg Lars Daniel , Lundell Fredrik , Hedhammar My 
Published: October 2020

AbstractSelf‐assembly of recombinant spider silk protein at air–liquid interfaces is used as a starting point to produce homogeneous fiber bundles. The film that is formed on a silk protein solution in a vertically placed syringe is subjected to repeated controlled extension and compression by an oscillating vertical motion. Thereby, a precise breakup of the film can be achieved, followed by transport and roll‐up against the syringe wall prior to extraction. Advantages of the method are that it 1) is simple to use; 2) requires a small volume of protein solution (1 mL) at relatively low concentration (1 mg mL−1); 3) can be performed under sterile conditions; 4) does not require any use of coagulants; and 5) is compatible with the addition of viable cells during the process, which thereby are integrated uniformly throughout the fiber.
Biomedical and Pharmacological Uses of Fluorescein Isothiocyanate Chitosan‐Based Nanocarriers
Authors: Caprifico Anna E. , Polycarpou Elena , Foot Peter J. S. , Calabrese Gianpiero 
Published: October 2020

AbstractChitosan‐based nanocarriers (ChNCs) are considered suitable drug carriers due to their ability to encapsulate a variety of drugs and cross biological barriers to deliver the cargo to their target site. Fluorescein isothiocyanate‐labeled chitosan‐based NCs (FITC@ChNCs) are used extensively in biomedical and pharmacological applications. The main advantage of using FITC@ChNCs consists of the ability to track their fate both intra and extracellularly. This journey is strictly dependent on the physico‐chemical properties of the carrier and the cell types under investigation. Other applications make use of fluorescent ChNCs in cell labeling for the detection of disorders in vivo and controlling of living cells in situ. This review describes the use of FITC@ChNCs in the various applications with a focus on understanding their usefulness in labeled drug‐delivery systems.
Influence of commercial corrosion‐inhibiting compounds on the atmospheric corrosion of the magnesium alloys EV31A, WE43B, ZE41A and pure magnesium
Authors: Soltan Akif , Dargusch Matthew S. , Shi Zhiming , Gerrard Darren , Atrens Andrej 
Published: October 2020

AbstractThe influence of four commercial corrosion‐inhibiting compounds on the atmospheric corrosion of EV31A, WE43B, ZE41A and pure Mg was studied at two hot, humid, tropical sites for test periods of 3–12 months. LPS 3 and AMLGuard significantly reduced the corrosion rates, with AMLGuard being most effective with inhibition efficiencies above 85%. In contrast, Ardrox 3961 and LPS 2 were ineffective with typical corrosion rates comparable with those of the bare alloys. Corrosion inhibition was tentatively attributed to protective durable barrier films formed by chemical adsorption for LPS 3 and AMLGuard.
Identifying Important Juvenile Dusky Shark Habitat in the Northwest Atlantic Ocean Using Acoustic Telemetry and Spatial Modeling
Authors: Bangley Charles W. , Curtis Tobey H. , Secor David H. , Latour Robert J. , Ogburn Matthew B. 
Published: October 2020

Abstract
Highly mobile species can be challenging for fisheries management and conservation due to large home ranges combined with dependence on discrete habitat areas where they can be easily targeted or vulnerable to anthropogenic disturbances. Management of the Dusky Shark Carcharhinus obscurus in the northwest Atlantic Ocean has been particularly challenging due to the species’ inherent vulnerability to overfishing and poorly understood habitat associations. To better understand habitat associations and seasonal distributions, we combined telemetry and remotely sensed environmental data to spatially model juvenile Dusky Shark presence probability in the northwest Atlantic Ocean. To accomplish this, 22 juvenile Dusky Sharks (107–220 cm TL) that were tagged with acoustic transmitters at different locations within the U.S. Middle Atlantic Bight region were tracked through networked arrays of acoustic receivers. Tag detections were summarized as daily presence records, and data describing environmental conditions, including depth, chlorophyll-a concentration, salinity, and sea surface temperature, were extracted at detection locations. These data were used in boosted regression tree models to predict juvenile Dusky Shark presence probability based on environmental parameters during fall 2017 and summer 2018. Telemetry observations and modeled presence probability showed consistent associations with temperatures between 16°C and 26°C and chlorophyll-a concentrations between 2 and 7 mg/m3, which were associated with seasonal migration timing and monthly spatial distributions. Dusky Shark tag detections and predicted distributions during summer and early fall overlapped areas in the Middle Atlantic Bight that were affected by fisheries and potential offshore energy development. Our methodology provides a framework for assessing climate change effects on distribution.
Late‐Onset Tay‐Sachs Disease in an Irish Family
Authors: Lefter Stela , O' Mahony Olivia , Sweeney Brian , Ryan Aisling M. 
Published: October 2020

ABSTRACTBackgroundLate‐onset Tay‐Sachs disease (LOTS) is an autosomal‐recessive lysosomal storage disease caused by deficient β‐hexosaminidase A activity. LOTS is rare in the Ashkenazi Jews, but even rarer in the non‐Jewish population.CasesWe report an Irish family expanding the LOTS phenotype (ataxia, diffuse muscle wasting, dystonia, chorea, belly dancer's dyskinesia, and neuropsychiatric features) associated with the known HEXA variant 1073 + 1G > A and a novel variant c.459 + 24G > C.ConclusionsLOTS should be considered in patients with similar symptoms and cerebellar atrophy on brain imaging.
Atypical juvenile hereditary hemochromatosis onset with positive pancreatic islet autoantibodies diabetes caused by novel mutations in HAMP and overall clinical management
Authors: Wu Hui‐Xuan , Liu Jun‐Ying , Yan De‐Wen , Li Long , Zhuang Xiang‐Hua , Li Hai‐Yan , Zhou Zhi‐Guang , Zhou Hou‐De 
Published: October 2020

AbstractBackgroundAtypical clinical symptoms of juvenile hereditary hemochromatosis (JHH) often leads to misdiagnosis and underdiagnosis bringing ominous outcomes, even death.MethodsThe whole exome was sequenced and interpreted. A literature review assisted to analyze and verify the phenotype–genotype relationships. We revealed the entire process of diagnosis, treatments, and outcome of two diabetic onset of JHH families to provide new insights for genotype–phenotype relation with novel compound heterozygous mutations in the hepcidin antimicrobial peptide (HAMP, OMIM: 606464).ResultsTwo probands were diagnosed and treated as type 1 diabetes initially because of specific symptoms and positive islet autoantibodies. Poor control of hyperglycemia and progressive symptoms occurred. Sequencing informed that the compound heterozygous and homozygous mutations c.166C>G and c.223C>T in HAMP caused type 1 diabetic‐onset JHH. The two patients accessed irregular phlebotomy treatments, and then, experienced poor prognosis. We summarized the process of overall clinical management of reported 26 cases comparing to our novel atypical diabetic onsets Juvenile Hereditary Hemochromatosis cases.ConclusionIt was first reported that positive pancreatic islet autoantibodies diabetes onset of JHH resulted from loss‐of‐function mutations of HAMP, of which the atypical JHH should be differentially diagnosed with type 1 diabetes at the onset. Early administration of phlebotomy and vital organs protection and surveillance might be important for the treatment of atypical JHH.
Predicting the progression of Parkinson's disease using conventional MRI and machine learning: An application of radiomic biomarkers in whole‐brain white matter
Authors: Shu Zhen‐Yu , Cui Si‐Jia , Wu Xiao , Xu Yuyun , Huang Peiyu , Pang Pei‐Pei , Zhang Minming 
Published: October 2020

PurposeThis study aimed to develop and validate a radiomics model based on whole‐brain white matter and clinical features to predict the progression of Parkinson disease (PD).MethodsPD patient data from the Parkinson's Progress Markers Initiative (PPMI) database was evaluated. Seventy‐two PD patients with disease progression, as measured by the Hoehn‐Yahr Scale (HYS) (stage 1‐5), and 72 PD patients with stable PD were matched by sex, age, and category of HYS and included in the current study. Each individual’s T1‐weighted MRI scans at the baseline timepoint were segmented to isolate whole‐brain white matter for radiomics feature extraction. The total dataset was divided into a training and test set according to subject serial number. The size of the training dataset was reduced using the maximum relevance minimum redundancy (mRMR) algorithm to construct a radiomics signature using machine learning. Finally, a joint model was constructed by incorporating the radiomics signature and clinical progression scores. The test data were then used to validate the prediction models, which were evaluated based on discrimination, calibration, and clinical utility.ResultsBased on the overall data, the areas under curve (AUCs) of the joint model, signature and Unified Parkinson Disease Rating Scale III PD rating score were 0.836, 0.795, and 0.550, respectively. Furthermore, the sensitivities were 0.805, 0.875, and 0.292, respectively, and the specificities were 0.722, 0.697, and 0.861, respectively. In addition, the predictive accuracy of the model was 0.827, the sensitivity was 0.829 and the specificity was 0.702 for stage‐1 PD. For stage‐2 PD, the predictive accuracy of the model was 0.854, the sensitivity was 0.960, and the specificity was 0.600.ConclusionOur results provide evidence that conventional structural MRI can predict the progression of PD. This work also supports the use of a simple radiomics signature built from whole‐brain white matter features as a useful tool for the assessment and monitoring of PD progression.
Validating in vivo hyperpolarized 129Xe diffusion MRI and diffusion morphometry in the mouse lung
Authors: Niedbalski Peter J. , Cochran Alexander S. , Freeman Matthew S. , Guo Jinbang , Fugate Elizabeth M. , Davis Cory B. , Dahlke Jerry , Quirk James D. , Varisco Brian M. , Woods Jason C. , Cleveland Zackary I. 
Published: October 2020

PurposeDiffusion and lung morphometry imaging using hyperpolarized gases are promising tools to quantify pulmonary microstructure noninvasively in humans and in animal models. These techniques assume the motion encoded is exclusively diffusive gas displacement, but the impact of cardiac motion on measurements has never been explored. Furthermore, although diffusion morphometry has been validated against histology in humans and mice using 3He, it has never been validated in mice for 129Xe. Here, we examine the effect of cardiac motion on diffusion imaging and validate 129Xe diffusion morphometry in mice.Theory and MethodsMice were imaged using gradient‐echo‐based diffusion imaging, and apparent diffusion‐coefficient (ADC) maps were generated with and without cardiac gating. Diffusion‐weighted images were fit to a previously developed theoretical model using Bayesian probability theory, producing morphometric parameters that were compared with conventional histology.ResultsCardiac gating had no significant impact on ADC measurements (dual‐gating: ADC = 0.020 cm2/s, single‐gating: ADC = 0.020 cm2/s; P = .38). Diffusion‐morphometry–generated maps of ADC (mean, 0.0165 ± 0.0001 cm2/s) and acinar dimensions (alveolar sleeve depth [h] = 44 µm, acinar duct radii [R] = 99 µm, mean linear intercept [Lm] = 74 µm) that agreed well with conventional histology (h = 45 µm, R = 108 µm, Lm = 63 µm).ConclusionCardiac motion has negligible impact on 129Xe ADC measurements in mice, arguing its impact will be similarly minimal in humans, where relative cardiac motion is reduced. Hyperpolarized 129Xe diffusion morphometry accurately and noninvasively maps the dimensions of lung microstructure, suggesting it can quantify the pulmonary microstructure in mouse models of lung disease.
Myelin water imaging depends on white matter fiber orientation in the human brain
Authors: Birkl Christoph , Doucette Jonathan , Fan Michael , Hernández‐Torres Enedino , Rauscher Alexander 
Published: October 2020

PurposeThe multi‐exponential T2 decay of the MRI signal from cerebral white matter can be separated into short T2 components related to myelin water and long T2 components related to intracellular and extracellular water. In this study, we investigated to what degree the apparent myelin water fraction (MWF) depends on the angle between white matter fibers and the main magnetic field.MethodsMaps of the apparent MWF were acquired using multi‐echo Carr‐Purcell‐Meiboom‐Gill and gradient‐echo spin‐echo sequences. The Carr‐Purcell‐Meiboom‐Gill sequence was acquired with a TR of 1073 ms, 1500 ms, and 2000 ms. The fiber orientation was mapped with DTI. By angle‐wise pooling the voxels across the brain’s white matter, orientation‐dependent apparent MWF curves were generated.ResultsWe found that the apparent MWF varied between 25% and 35% across different fiber orientations. Furthermore, the selection of the TR influences the apparent MWF.ConclusionWhite matter fiber orientation induces a strong systematic bias on the estimation of the apparent MWF. This finding has implications for future research and the interpretation of MWI results in previously published studies.