bluuebunny/crossref_metadata_2025_split huggingface dataset:
Age‐ and performance‐related differences in source memory retrieval during early childhood: Insights from event‐related potentials
Authors: Canada Kelsey L. , Geng Fengji , Riggins Tracy 
Published: December 2019

AbstractAcross early childhood, children's ability to remember individual items and the details that accompany these items (i.e., episodic memory) improves greatly. Given that these behavioral improvements coincide with increases in age, effects of age and performance are often confounded. This study used event‐related potentials (ERPs) to investigate age‐ and performance‐related differences in the neural processes underlying the development of memory for details during early childhood. Using a source memory paradigm, ERP components related to episodic memory, the negative component (Nc), and late slow wave (LSW) were examined in 4‐ to 8‐year‐old children. Analyses focused on trials for which children correctly remembered the source related to an item versus trials where the item was remembered but the source was forgotten. Results revealed LSW, but not Nc, differed as a function of age and performance. Specifically, LSW effects were similar across source correct and source incorrect trials in all high‐performing children and in low‐performing older children; however, LSW effects differed across conditions in low‐performing younger children. Results show developmental differences in retrieval processes across early childhood and highlight the importance of considering age and performance when examining electrophysiological correlates of episodic memory during development.
Spatial sampling bias and model complexity in stream‐based species distribution models: A case study of Paddlefish (Polyodon spathula) in the Arkansas River basin, USA
Authors: Taylor Andrew T. , Hafen Thomas , Holley Colt T. , González Alin , Long James M. 
Published: December 2019

AbstractLeveraging existing presence records and geospatial datasets, species distribution modeling has been widely applied to informing species conservation and restoration efforts. Maxent is one of the most popular modeling algorithms, yet recent research has demonstrated Maxent models are vulnerable to prediction errors related to spatial sampling bias and model complexity. Despite elevated rates of biodiversity imperilment in stream ecosystems, the application of Maxent models to stream networks has lagged, as has the availability of tools to address potential sources of error and calculate model evaluation metrics when modeling in nonraster environments (such as stream networks). Herein, we use Maxent and customized R code to estimate the potential distribution of paddlefish (Polyodon spathula) at a stream‐segment level within the Arkansas River basin, USA, while accounting for potential spatial sampling bias and model complexity. Filtering the presence data appeared to adequately remove an eastward, large‐river sampling bias that was evident within the unfiltered presence dataset. In particular, our novel riverscape filter provided a repeatable means of obtaining a relatively even coverage of presence data among watersheds and streams of varying sizes. The greatest differences in estimated distributions were observed among models constructed with default versus AICC‐selected parameterization. Although all models had similarly high performance and evaluation metrics, the AICC‐selected models were more inclusive of westward‐situated and smaller, headwater streams. Overall, our results solidified the importance of accounting for model complexity and spatial sampling bias in SDMs constructed within stream networks and provided a roadmap for future paddlefish restoration efforts in the study area.
Spatial variability in the amount of forest litter at the local scale in northeastern China: Kriging and cokriging approaches to interpolation
Authors: Qin Qianqian , Wang Haiyan , Lei Xiangdong , Li Xiang , Xie Yalin , Zheng Yonglin 
Published: December 2019

AbstractLitter is essential to promote nutrient cycling and maintain the sustainability of forest resources. However, its variability has not been sufficiently studied at the local scale. The prediction of litter amount using ordinary cokriging with Pearson correlation analysis (COKP) and ordinary cokriging with principal component analysis (COKPCA) was compared with that using ordinary kriging (OK) based on cross‐validation at the local scale of a 1‐ha plot over natural spruce–fir mixed forest in Jilin Province, China. Litter samples in semidecomposed (F) and complete decomposed (H) horizons were collected using an equidistant grid point sampling of 10 m × 10 m. Pearson correlation analysis and principal component analysis (PCA) were used to confirm auxiliary variables. The results showed that the amount of litter was 19.65 t/ha in the F horizon and 10.37 t/ha in the H horizon. The spatial structure variance ratio in the H horizon was smaller than that in the F horizon, indicative of its stronger spatial autocorrelation. Spatial distributions of litter amount in both horizons exhibited a patchy and heterogeneous pattern. Of the selected stand characteristics and litter properties, litter moisture content indicated the strongest relationship with litter amount. Cross‐validation revealed that COKPCAusing the comprehensive score as an auxiliary variable produced the most accurate map. The average standard error and root‐mean‐square error between the predicted and measured values were always smaller, the mean error and mean standardized error were much closer to 0, and the root‐mean‐square standardized error was closer to 1 than COKPusing litter moisture and OK. Therefore, a clear advantage of cokriging based on principal component analysis was observed and COKPCAwas found to be a very useful approach for further interpolation prediction.
Temporal aspects of endogenous pain modulation during a noxious stimulus prolonged for 1 day
Authors: Hoeger Bement Marie , Petersen Kristian K. , Sørensen Line B. , Andersen Hjalte H. , Graven‐Nielsen Thomas 
Published: December 2019

AbstractBackgroundThis study investigated (a) if a prolonged noxious stimulus (24‐hr topical capsaicin) in healthy adults would impair central pain inhibitory and facilitatory systems measured as a reduction in conditioned pain modulation (CPM) and enhancement of temporal summation of pain (TSP) and (b) if acute pain relief or exacerbation (cooling and heating the capsaicin patch) during the prolonged noxious stimulus would affect central pain modulation.MethodsTwenty‐eight participants (26.2 ± 1.0 years; 12 women) wore a transdermal 8% capsaicin patch on the forearm for 24 hr. Data were collected at baseline (Day 0), 1 hr, 3 hr, Day 1 (post‐capsaicin application) and Day 3/4 (post‐capsaicin removal) that included capsaicin‐evoked pain intensity, heat pain thresholds (HPTs), TSP (10 painful cuff pressure stimuli on leg) and CPM (cuff pressure pain threshold on the leg prior vs. during painful cuff pressure conditioning on contralateral leg). After 3 hr, cold (12°C) and heat (42°C) stimuli were applied to the capsaicin patch to transiently increase and decrease pain intensity.ResultsParticipants reported moderate pain scores at 1 hr (2.5 ± 2.0), 3 hr (3.7 ± 2.4), and Day 1 (2.4 ± 1.8). CPM decreased 3‐hr post‐capsaicin (p = .001) compared to Day 0 and remained diminished while the capsaicin pain score was reduced (0.4 ± 0.7, p < .001) and increased (6.6 ± 2.2, p < .001) by patch cooling and heating. No significant differences occurred for CPM during patch cooling or heating compared to initial 3HR; however, CPM during patch heating was reduced compared with patch cooling (p = .01). TSP and HPT did not change.ConclusionsThis prolonged experimental pain model is useful to provide insight into subacute pain conditions and may provide insight into the transition from acute to chronic pain.SignificanceDuring the early hours of a prolonged noxious stimulus in healthy adults, CPM efficacy was reduced and did not recover by temporarily removing the ongoing pain indicating a less dynamic neuroplastic process.
In Situ Reproductive Bioassay with Caged Gammarus fossarum (Crustacea): Part 1—Gauging the Confounding Influence of Temperature and Water Hardness
Authors: Chaumot Arnaud , Coulaud Romain , Adam Olivier , Quéau Hervé , Lopes Christelle , Geffard Olivier 
Published: December 2019

Abstract
Monitoring the adverse effects of environmental contaminants on the reproduction of invertebrate species in the field remains a challenge in aquatic ecotoxicology. To meet the need for reliable tools for in situ toxicity assessment, we present the first part of a methodological study of the in situ implementation of a reproductive bioassay in Gammarus previously developed for screening the toxicity of chemical compounds during laboratory exposure. To ensure the correct interpretation of the modulation of reproductive markers (molting, fecundity, follicle growth, and embryonic development) in uncontrolled environmental conditions, we experimentally assessed and statistically modeled the variability in the female reproductive cycle during laboratory exposure under several temperature and water hardness conditions. Whereas water hardness did not influence the reproductive cycle, the significant accelerating effect of temperature on the dynamics of molting and marsupial development was finely modeled, by detailing the influence of temperature on the probability of transition between all molt and embryonic stages along the female cycle. In addition, no effect of temperature or water hardness was detected on the number of oocytes and embryos carried by females. Furthermore, the finding that the relative durations of the first 4 molt and embryonic stages are constant whatever the temperature makes it possible to predict the molting dynamics in fluctuating temperature conditions. Because this could allow us to take into account the confounding influence of temperature on the measurement of reproductive markers, the implications of these findings for an optimal in situ implementation of the reproductive bioassay with G. fossarum are discussed. The relevance of this modeling approach during in situ implementation is tested in a companion study. Environ Toxicol Chem 2020;39:667–677. © 2019 SETAC
Development and Application of a Microplate Assay for Toxicity Testing on Aquatic Cyanobacteria
Authors: Le Page Gareth , Gunnarsson Lina , Snape Jason , Tyler Charles R. 
Published: December 2019

Abstract
Regulatory environmental risk assessment, applied to establish a protection limit for all bacterial diversity in surface waters, relies on a growth inhibition test performed on a single species of cyanobacteria and the activated sludge respiration inhibition test. Recently, the ability of this approach to protect adequately for bacteria that provide important ecosystem services has been questioned, and empirical data on additional species to further investigate the effectiveness of the environmental risk assessment are urgently required. We present the development and validation of a cost-effective and time-efficient microplate assay that is comparable to the traditional shake flask test for measurement of cyanobacteria growth rate after chemical exposure. The assay has been optimized to ensure that comparisons of cyanobacteria sensitivity under exponential growth are assessed across equivalent experimental conditions using phycocyanin fluorescence as a surrogate for cell density. The test system is validated using potassium dichromate, and the results are compared with those obtained in an Organisation for Economic Co-operation and Development (2011) test guideline 201 shake flask test system. This assay is suitable for the screening of new and legacy chemicals (including antibiotics) for which ecotoxicology data are lacking across a wide range of cyanobacteria, with the aim of developing more comprehensive environmental risk assessment. Environ Toxicol Chem 2020;39:705–720. © 2019 SETAC
Prediction of hospital length of stay to achieve flexible healthcare in the field of Internet of Vehicles
Authors: Wang Tao , Zhang Haiqing , Duclos Antoine , Payet Cécile , Li Daiwei 
Published: December 2019

AbstractThe patient transfer from hospitals to followup care and rehabilitation facilities is an important aspect for maintaining the continuity of medical care. In order to achieve flexible healthcare within the field of Internet of Vehicles (IoVs) in terms of secure patient transfer and ambulance transport, the whole organization of patients' discharge and transfer should be anticipated, based mostly on a length of stay (LOS) given at the time of inpatient admission. Therefore, the prediction of LOS has serious impact on influx coordination, bed management, ambulance scheduling, and furthermore, on the financial balance of hospitals. Based on studying medical data, the prediction with good accuracy can help hospital managers get an efficient and robust resource management. The challenge is then how to extract valuable information from medical data, which contains considerable hesitation and uncertainty elements. In this article, a hesitant fuzzy‐rough nearest‐neighbor algorithm has been proposed and experimented with real medical data. Hesitation interpretation has been reflected in the process of determining class labels in our algorithm via hesitant fuzzy relation determination and hesitant fuzzy‐rough similarity measure. The experimental analysis has shown that the proposed algorithm has better performance and extensibility.
Variation of floral volatiles and fragrance reveals the phylogenetic relationship among nine wild tree peony species
Authors: Luo Xiaoning , Yuan Meng , Li Bingjie , Li Chenyao , Zhang Yanlong , Shi Qianqian 
Published: December 2019

AbstractIn recent years, more and more attention has been paid to the natural floral volatiles in tree peony and the fragrance components have been widely used in the fields of health care, perfumes, and cosmetics. However, there is little research on the identification of fragrance components of wild tree peony species. In present study, volatile components in petals of nine wild tree peony species were analyzed using a headspace solid‐phase microextraction (SPME) technique coupled with gas chromatography–mass spectrometry (GC‐MS). A total of 124 volatile components were identified and clustered into five major chemical classes: terpenoids, alkanes, alcohols, aldehydes, and ketones. Overall, combined with the sensory evaluation of nine wild tree peony species, Paeonia. ostii (P2) performed herbal and waxy attributes, mainly dominated by hexanal and pentadecane, respectively. P rockii (P1), P qiui (P3), P jishanensis (P4), and P decomposita (P5) all possessed sweet attribute, which was positively correlated with geraniol and citronellol. P delavayi (P9), P lutea (P7), P ludlowii (P8), and P potanini (P6) performed intense floral attribute dominated by linalool and trans‐linalool oxide. Moreover, the results of principal component analysis (PCA) and hierarchical clustering analysis (HCA) showed P decomposita (P5), P qiui (P3), P rockii (P1), P jishanensis (P4), and P ostii (P2) in the Subsect. Vagiatae were mixed to form one cluster while P lutea (P7), P delavayi (P9), P ludlowii (P8), and P potanini (P6) in the Subsect. Delavayanae formed the other cluster. In terms of geographical distribution, the two clusters are consistent with the distribution of wild tree peony species. The present study clarified the relationship between fragrance and components and further revealed the phylogenetic relationship of nine wild tree peony species, thus providing a theoretical basis for their development and utilization.
Microbial load and antibiotic resistance in raw beef preparations from northwest Spain
Authors: González‐Gutiérrez María , García‐Fernández Camino , Alonso‐Calleja Carlos , Capita Rosa 
Published: December 2019

AbstractBeef preparations (meatballs, minced meat, hamburgers, white sausages, and red sausages) from northwest Spain were tested. Microbial counts ranged from 0.70 ± 0.00 log10 cfu/g (enterococci) to 9.57 ± 0.37 log10 cfu/g (psychrotrophs). In 73.3% of cases, total aerobic counts were higher than the microbiological limits set for the end of the manufacturing process in the European Union (EU Regulation 2073/2005). Forty Escherichia coli isolates were tested against thirteen clinically important antibiotics (disk diffusion method; CLSI). Three of the strains (7.5%) were susceptible to all the antibiotics, four (10.0%) showed resistance or reduced susceptibility to one antibiotic, and 33 (82.5%) were multiresistant (with resistance or reduced susceptibility to between two and eight antibiotics), with an average of 1.85 resistances per strain. The highest rates of resistance were observed for two antimicrobials widely used on cattle farms (cefalotin and tetracycline). The findings in this research emphasize the need to correctly handle beef preparations with the aim of reducing risks to consumers.
A feasibility study of CO2‐based solar‐assisted Rankine cycle: a comparative case study for Isparta, Turkey
Authors: Kizilkan Onder , Yamaguchi Hiroshi 
Published: December 2019

AbstractIn this study, a feasibility analysis of a solar‐assisted transcritical Rankine cycle working with carbon dioxide (CO2) is performed for Isparta, Turkey, in comparison with Kyoto, Japan, conditions. For the analyses, the characteristics of the system are adapted from the actual experimental research conducted at Doshisha University, Kyoto, Japan. In order to evaluate the performance of the CO2‐based integrated system, a mathematical model is established for the evacuated solar collectors. Energy and exergy analyses are carried out using the solar energy data of both cities. According to the simulation results, the average turbine power capacities are determined as 0.415 and 0.396 kW, while the average heat recovery capacities are calculated as 2.10 and 1.89 kW for Isparta and Kyoto, respectively. The yearly electricity generation for Isparta conditions is found to be about 40% higher than the Kyoto conditions with 1138.09 kWh. The results of second law analyses are showed that the highest exergy destruction rate occurs in August for Isparta conditions with 8.18 kW due to the higher solar radiation rates. From the results, it appears that the CO2‐based next‐generation solar‐assisted power and heat generation system can be established and utilized in Isparta more effectively. The future research should, therefore, concentrate on moving the actual experimental setup to Isparta for field test experiments. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.
Neuronal lactate levels depend on glia‐derived lactate during high brain activity in Drosophila
Authors: González‐Gutiérrez Andrés , Ibacache Andrés , Esparza Andrés , Barros Luis Felipe , Sierralta Jimena 
Published: December 2019

AbstractLactate/pyruvate transport between glial cells and neurons is thought to play an important role in how brain cells sustain the high‐energy demand that neuronal activity requires. However, the in vivo mechanisms and characteristics that underlie the transport of monocarboxylates are poorly described. Here, we use Drosophila expressing genetically encoded FRET sensors to provide an ex vivo characterization of the transport of monocarboxylates in motor neurons and glial cells from the larval ventral nerve cord. We show that lactate/pyruvate transport in glial cells is coupled to protons and is more efficient than in neurons. Glial cells maintain higher levels of intracellular lactate generating a positive gradient toward neurons. Interestingly, during high neuronal activity, raised lactate in motor neurons is dependent on transfer from glial cells mediated in part by the previously described monocarboxylate transporter Chaski, providing support for in vivo glia‐to‐neuron lactate shuttling during neuronal activity.
Age‐related structural and functional variations in 5,967 individuals across the adult lifespan
Authors: Luo Na , Sui Jing , Abrol Anees , Lin Dongdong , Chen Jiayu , Vergara Victor M. , Fu Zening , Du Yuhui , Damaraju Eswar , Xu Yong , Turner Jessica A. , Calhoun Vince D. 
Published: December 2019

AbstractExploring brain changes across the human lifespan is becoming an important topic in neuroscience. Though there are multiple studies which investigated the relationship between age and brain imaging, the results are heterogeneous due to small sample sizes and relatively narrow age ranges. Here, based on year‐wise estimation of 5,967 subjects from 13 to 72 years old, we aimed to provide a more precise description of adult lifespan variation trajectories of gray matter volume (GMV), structural network correlation (SNC), and functional network connectivity (FNC) using independent component analysis and multivariate linear regression model. Our results revealed the following relationships: (a) GMV linearly declined with age in most regions, while parahippocampus showed an inverted U‐shape quadratic relationship with age; SNC presented a U‐shape quadratic relationship with age within cerebellum, and inverted U‐shape relationship primarily in the default mode network (DMN) and frontoparietal (FP) related correlation. (b) FNC tended to linearly decrease within resting‐state networks (RSNs), especially in the visual network and DMN. Early increase was revealed between RSNs, primarily in FP and DMN, which experienced a decrease at older ages. U‐shape relationship was also revealed to compensate for the cognition deficit in attention and subcortical related connectivity at late years. (c) The link between middle occipital gyrus and insula, as well as precuneus and cerebellum, exhibited similar changing trends between SNC and FNC across the adult lifespan. Collectively, these results highlight the benefit of lifespan study and provide a precise description of age‐related regional variation and SNC/FNC changes based on a large dataset.
Pilot study for a novel and personalized voice restoration device for patients with laryngectomy
Authors: Rameau Anaïs 
Published: December 2019

AbstractBackgroundThe main modalities for voice restoration after laryngectomy are the electrolarynx, and the tracheoesophageal puncture [Correction added on 30 January 2020 after first online publication: The preceding sentence has been revised. It originally read “The main modalities for voice restoration after laryngectomy are the electrolarynx and the tracheoesophageal puncture.”]. All have limitations and new technologies may offer innovative alternatives via silent speech.ObjectiveTo describe a novel and personalized method of voice restoration using machine learning applied to electromyographic signal from articulatory muscles for the recognition of silent speech in a patient with total laryngectomy.MethodsSurface electromyographic (sEMG) signals of articulatory muscles were recorded from the face and neck of a patient with total laryngectomy who was articulating words silently. These sEMG signals were then used for automatic speech recognition via machine learning. Sensor placement was tailored to the patient's unique anatomy, following radiation and surgery. A personalized wearable mask covering the sensors was designed using 3D scanning and 3D printing.ResultsUsing seven sEMG sensors on the patient's face and neck and two grounding electrodes, we recorded EMG data while he was mouthing “Tedd” and “Ed.” With data from 75 utterances for each of these words, we discriminated the sEMG signal with 86.4% accuracy using an XGBoost machine‐learning model.ConclusionsThis pilot study demonstrates the feasibility of sEMG‐based alaryngeal speech recognition, using tailored sensor placement and a personalized wearable device. Further refinement of this approach could allow translation of silently articulated speech into a synthesized voiced speech via portable devices.