bluuebunny/crossref_metadata_2025_split huggingface dataset:
Future hydrological constraints of the Montseny brook newt (Calotriton arnoldi) under changing climate and vegetation cover
Authors: Ledesma José L. J. , Montori Albert , Altava‐Ortiz Vicent , Barrera‐Escoda Antonio , Cunillera Jordi , Àvila Anna 
Published: August 2019

AbstractThe Montseny brook newt (Calotriton arnoldi) is a critically endangered amphibian species which inhabits a small 20 km2 holm oak and beech forest area in NE Spain. Calotriton arnoldi strictly lives in running waters and might be highly vulnerable to hydrological perturbations expected to occur under climate and vegetation cover changes. Knowledge about the potential response of the species habitat to environmental changes can help assessing the actions needed for its conservation. Based on knowledge of the species and supported by observations, we proposed daily low and high streamflow event thresholds for the viability of C. arnoldi. We used the rainfall–runoff model PERSiST to simulate changes in the frequency and duration of these events, which were predicted under two climate and four vegetation cover scenarios for near‐future (2031–2050) and far‐future (2081–2100) periods in a reference catchment. All future scenarios projected a significant decrease in annual streamflow (from 21% to as much as 67%) with respect to the reference period. The frequency and length of low streamflow events will dramatically increase. In contrast, the risk of catastrophic drift linked to high streamflow events was predicted to decrease. The potential change in vegetation toward an expansion of holm oak forests will be more important than climate changes in determining threshold low flow conditions. We thus demonstrated that consideration of potential changes in vegetation and not only changes in climate variables is essential in simulating future streamflows. This study shows that future low streamflow conditions will pose a severe threat for the survival of C. arnoldi and may help taking management actions, including limiting the expansion of holm oak forest, for ameliorating the species habitat and help its conservation.
Land use change and the migration geography of Greater White‐fronted geese in European Russia
Authors: Grishchenko Mikhail , Prins Herbert H. T. , Ydenberg Ronald C. , Schaepman Michael E. , de Boer Willem F. , de Knegt Henrik J. 
Published: August 2019

AbstractLarge areas of agricultural land have been abandoned in European Russia since 1991, triggering succession toward more wooded landscapes, especially in northern regions where conditions for agriculture are more challenging. We hypothesize that this process has contributed to a southward shift by migratory Atlantic Greater White‐fronted geese, as stopover sites in northern Russia became progressively less suitable. To test this hypothesis, we located stopover sites from information contained in 2976 ring recoveries and sightings of neck‐collared geese. These records were divided into three time periods, chosen to reflect major changes in the economy and land use of European Russia: 1960–1990, 1991–2000, and 2001–2013. We used a kernel density estimator grid to delineate areas surrounding 300 putative stopover sites, and statistically evaluated the effects of latitude, distance to nearest waterbody, settlement, and period on stopover site usage by geese. Our results show that over the three periods, usage of the stopover sites has shifted southward, indicating that Greater White‐fronted geese have shifted their migration pathway, with the greatest shift in the most recent period. This shift was confirmed by a highly significant squared latitude term and significant interaction term between periods. The nearest settlements showed no significant effect on stopover site usage while the nearest waterbody term was negative, suggesting higher waterbody densities contributed to higher densities of stopover sites. We attribute the shift to the successional reforestation of the Russian landscape that has followed widespread land abandonment, especially that following the break‐up of the formerUSSR.
Remotely piloted aircraft improve precision of capture–mark–resight population estimates of Australian fur seals
Authors: Sorrell Karina J. , Clarke Rohan H. , Holmberg Ross , McIntosh Rebecca R. 
Published: August 2019

AbstractRemotely piloted aircraft (RPA or drones) have become a powerful tool for use in spatial and temporal ecology. Major benefits for environmental management, including improved accuracy and precision for population monitoring of fauna, are being realized. We used Australian fur seals (Arctocephalus pusillus) as a model system to assess how counts and capture–mark–resight (CMR) estimates derived from RPA surveys compared with both traditionally used ground counts and CMR abundance estimates at two colonies in southeastern Australia. To manage the large volume of data, we implemented a citizen science portal SealSpotter to screen RPA imagery for animals of the target age classes. Capture–mark–resight estimates and direct counts using RPA imagery provided measurable improvement in monitoring precision when compared with traditional techniques. A key methodological assumption of CMR estimates is that there is uniform mixing of marked animals across the focal area. This was also validated using spatial data derived from images and linear models, a novel capability of the RPA technique. Our findings have the potential to improve wildlife monitoring techniques for fur seals and are broadly transferable to a wide range of other animal taxa where CMR techniques are employed. Furthermore, they add to the growing body of evidence that demonstrates the benefits of RPAs for wildlife monitoring exceed those of traditional techniques.
Role of AIM2 inflammasome in inflammatory diseases, cancer and infection
Authors: Sharma Bhesh Raj , Karki Rajendra , Kanneganti Thirumala‐Devi 
Published: August 2019

AbstractAIM2 is a cytosolic innate immune receptor which recognizes double‐stranded DNA (dsDNA) released during cellular perturbation and pathogenic assault. AIM2 recognition of dsDNA leads to the assembly of a large multiprotein oligomeric complex termed the inflammasome. This inflammasome assembly leads to the secretion of bioactive interleukin‐1β (IL‐1β) and IL‐18 and induction of an inflammatory form of cell death called pyroptosis. Sensing of dsDNA by AIM2 in the cytosol is crucial to mediate protection against the invading pathogens including bacteria, virus, fungi and parasites. AIM2 also responds to dsDNA released from damaged host cells, resulting in the secretion of the effector cytokines thereby driving the progression of sterile inflammatory diseases such as skin disease, neuronal disease, chronic kidney disease, cardiovascular disease and diabetes. Additionally, the protection mediated by AIM2 in the development of colorectal cancer depends on its ability to regulate epithelial cell proliferation and gut microbiota in maintaining intestinal homeostasis independently of the effector cytokines. In this review, we will highlight the recent progress on the role of the AIM2 inflammasome as a guardian of cellular integrity in modulating chronic inflammatory diseases, cancer and infection.
Study of the adsorbate–adsorbent interaction potential: Ethanol‐activated carbon AC35
Authors: Benkahla Noujoud , Mhiri Foued 
Published: August 2019

AbstractIn this study, a mathematical model of the adsorbate–adsorbent interaction potential as a function of the pore radius in the case of the adsorption of a gas by a microporous solid is proposed. The suggested mathematical model is based on the flow concept: the flow of the quantity of adsorbed material is proportional to the variation of the potential. The experimental study of the flow enabled us to determine the expression of the variation of the potential, and through integration, to state the expression of the latter. The experimental curve of the flux as a function of the pore radius includes a point of inflection. Mathematically, this type of curve is described by two equations. One corresponds to the adsorption in micropores and mesopores [r0 < r ≤ r2], whereas the other corresponds to the adsorption by macropores and the lateral surface of the activated carbon grain AC35 [r2 ≤ r]. This implies the existence of two types of interaction forces between the adsorbate molecules and the adsorbent. This study confirms the concordance of the two adsorption models (Dubinin–Astakov and Brunauer–Emmett–Teller) with the experiment. In addition, the proposed mathematical model will allow to perform quantification studies of the energy that is exchanged during adsorption.
Dynamic network service deployment across multiple SDN domains
Authors: Zhang Chuangchuang , Wang Xingwei , Dong Anwei , Zhao Yong , Huang Min , Li Fuliang 
Published: August 2019

AbstractThe integration of software defined networking (SDN) and network function virtualization (NFV) is a promising approach to support flexible service deployment and provisioning. In particular, NFV enables a network service to be represented as one network service function chain, which is composed of several virtual network functions in a specific order. However, with regard to service provisioning in multidomain SDN networks, virtual network functions are deployed in several different SDN domains due to limited resource capacity of each SDN domain. It results in the network service deployment complexity increase and causes additional operating cost. On the other hand, most current network service deployment proposals are limited to static user request scenarios. How to effectively deploy network service across multiple SDN domains to satisfy dynamic service demands of end users is a challenging problem. To address the aforementioned challenge, in this paper, we study the problem of dynamic network service deployment across multiple SDN domains. Specifically, we first design a novel service deployment framework to support dynamic deployment and optimization of virtual network function in multidomain SDN networks. Then, we formulate the problem as a multiobjective optimization problem with the target of jointly minimizing resource consumption cost and operating cost. Furthermore, we transform the multiobjective optimization problem into a single objective optimization model and present an efficient heuristic service deployment approach to solve it by leveraging Dijkstra algorithm. The simulation results demonstrate that the proposed service deployment method is efficient and outperforms comparison methods in terms of service rejection ratio, resource cost, and operating cost.
Identification of five long noncoding RNAs signature and risk score for prognosis of bladder urothelial carcinoma
Authors: Zhang Chuanjie , Li Zongtai , Hu Jiateng , Qi Feng , Li Xiao , Luo Jun 
Published: August 2019

AbstractNowadays, an increasing number of studies illustrated that bladder urothelial cancer (BLCA) may act as the most common subtype of urological malignancies with a high rate of recurrence and metastasis. In this study, we attempted to establish a prognostic model and identify the possible pathway crosstalk. Long noncoding RNAs (lncRNAs) and mRNA expression and corresponding clinical information of patients with BLCA were downloaded from The Cancer Genome Atlas (TCGA). The differentially expressed genes analysis, univariate Cox analysis, the least absolute shrinkage, and selection operator Cox (LASSO Cox) regression model were then applied to identify five crucial lncRNAs (AC092725.1, AC104071.1, AL023584.1, AL132642.1, and AL137804.1). The multivariate cox analysis was utilized to calculate the regression coefficients (βi). The risk‐score model was subsequently constructed as follows: (0.13541AC092725.1) + (0.20968AC104071.1) + (0.1525AL023584.1) − (0.14768AL132642.1) + (0.14387AL137804.1). Nomogram and assessment of overall survival (OS) prediction were verificated by the receiver operating characteristic curve in the testing group. As to 3‐, 5‐year OS prediction, the area under curve (AUC) for the nomogram of training data set was 0.83 and 0.86. Besides, the AUC (0.883 and 0.879) presented excellent predictive power in the testing group. In addition, the calibration plots validated the predictive performance of the nomogram. Weighted correlation network analysis (WGCNA) coupled with functional enrichment analysis contributed to explore the potential pathways, including PI3K‐Akt, HIF‐1, and Jak‐STAT signaling pathways. Construction of the risk‐score model and data analysis were both derived from multiple packages on the basis of the R platform chiefly.
The cultural, family and community factors for resilience in southeast asian indigenous communities: A systematic review
Authors: Chua Ryan Yumin , Kadirvelu Amudha , Yasin Shajahan , Choudhry Fahad Riaz , Park Miriam Sang‐Ah 
Published: August 2019

AbstractAlthough faced with historical and ongoing hardships, many indigenous communities in Southeast Asia have managed to survive and thrive. The identification of factors that assist these communities in coping with the challenges experienced would help enhance their overall psychological well‐being and resilience. The current review outlines types of protective factors for the indigenous communities in Southeast Asia focusing on the cultural, family and community elements linked to their psychological well‐being. Four themes of protective factors were identified strong connection to the land and the environment, embracing cultural norms and traditions, passing down and keeping indigenous knowledge across generations, and emphasis on community and social cohesion. Findings suggest that the value of interconnectedness serves as an overarching theme that forms the worldview of the indigenous communities in Southeast Asia. Interconnectedness was important to the indigenous peoples as they considered themselves to be extensions of their family, community, ancestors, future descendants, the land and to all living things and creations that reside on their lands. Future intervention attempts to promote resilience among these communities should take these factors into account, and pay closer attention to community‐level factors that seem to have a profound impact on the indigenous construction of resilience.
Effect of horizontal margin status and risk of local recurrence after endoscopic submucosal dissection for superficial esophageal cancer
Authors: Fukuda Hiromu , Ishihara Ryu , Shimamoto Yusaku , Kono Mitsuhiro , Nakagawa Kentaro , Ohmori Masayasu , Matsuno Kenshi , Iwagami Hiroyoshi , Inoue Shuntaro , Iwatsubo Taro , Nakahira Hiroko , Matsuura Noriko , Shichijo Satoki , Maekawa Akira , Kanesaka Takashi , Takeuchi Yoji , Higashino Koji , Uedo Noriya , Kitamura Masanori , Nakatsuka Shinichi 
Published: August 2019

Background and AimEndoscopic submucosal dissection (ESD) sometimes results in en bloc resection with a positive or inconclusive horizontal margin (HM1 or HMX, respectively) on histological evaluation. The specific risk for such situations is unclear. We therefore investigated the outcome of ESD with HM1 or HMX.MethodsThis single‐center retrospective study was performed at Osaka International Cancer Institute. A total of 886 esophageal squamous cell carcinoma lesions in 749 patients treated from April 2005 to June 2015 were evaluated according to the following inclusion criteria: en bloc resection with no residual lesion, HM1 or HMX status, no prior treatment, and no additional treatment. We classified HM1 and HMX into type A, in which cancer was exposed on the HM, and type B, in which the HM status was unclear because of mechanical or thermal damage. We further classified type B according to the distance between the cancer and the edge of the specimen: type B1, <1 mm and type B2, ≥1 mm.ResultsThe resection margin was judged as HM1 or HMX in 5.0% (39/767; 95% confidence interval, 3.5–6.6%) of the en bloc resected specimens. Of 39 lesions, 30 fulfilled the inclusion criteria. Local recurrence developed in 8 of 30 lesions (26.7%). The local recurrence rates for types A, B1, and B2 were 40% (6/15 lesions), 28.5% (2/7 lesions), and 0.0% (0/8 lesions), respectively.ConclusionsAlthough a statistical analysis was not conducted because of the limited events, the pathological HM status may be a useful predictor of local recurrence.
Influence of Age on Global and Regional Brain Stiffness in Young and Middle‐Aged Adults
Authors: Takamura Tomohiro , Motosugi Utaroh , Sasaki Yu , Kakegawa Takashi , Sato Kazuyuki , Glaser Kevin J. , Ehman Richard L. , Onishi Hiroshi 
Published: August 2019

BackgroundAn understanding of potential age‐related changes in brain stiffness and its regional variation is important for further clinical application of MR elastography.PurposeTo investigate the effect of age on global and regional brain stiffness in young and middle‐aged adults.Study TypeProspective.SubjectsFifty subjects with normal brains and aged in their 20s, 30s, 40s, 50s, or 60s (five men, five women per decade).Field Strength/Sequence3.0T MRI and elastography with a vibration frequency of 60 Hz.AssessmentStiffness was measured in nine brain regions (cerebrum, temporal lobes, sensorimotor areas, frontotemporal composite region, deep gray matter and white matter (deep GM/WM), parietal lobes, occipital lobes, frontal lobes, and cerebellum) using an atlas‐based region‐of‐interest approach. The influence of age on regional brain stiffness was evaluated.Statistical TestsMultiple linear regression analysis, followed by Dunnett's multiple comparisons test, using subjects in their 20s as controls.ResultsFollowing adjustment for sex, multiple linear regression revealed a significant negative correlation between age and stiffness of the cerebrum (P < 0.0001), temporal lobes (P < 0.0001), sensorimotor areas (P < 0.0001), frontotemporal composite region (P < 0.0001), deep GM/WM (P = 0.0028), parietal lobes (P < 0.0001), occipital lobes (P = 0.0055), and frontal lobes (P < 0.0001). Dunnett's multiple comparison test showed that the stiffness of the sensorimotor areas, frontotemporal composite region, and frontal lobes was significantly decreased in subjects in their 40s (P < 0.0367), 50s (P < 0.0001), and 60s (P < 0.0001), while that of the cerebrum, temporal lobes, and parietal lobes was significantly decreased only in subjects in their 50s (P < 0.0012) and 60s (P < 0.0031) when compared with the controls.Data ConclusionThere is an age‐related decrease in brain stiffness that varies across the different regions.Level of Evidence: 1Technical Efficacy Stage: 2J. Magn. Reson. Imaging 2020;51:727–733.
Staging Clavicular Development on MRI: Pitfalls and Suggestions for Age Estimation
Authors: De Tobel Jannick , Hillewig Elke , van Wijk Mayonne , Fieuws Steffen , de Haas Michiel Bart , van Rijn Rick R. , Thevissen Patrick Werner , Verstraete Koenraad Luc 
Published: August 2019

BackgroundMRI of the clavicle's sternal end has been studied for age estimation. Several pitfalls have been noted, but how they affect age estimation performance remains unclear.Purpose/HypothesisTo further study these pitfalls and to make suggestions for a proper use of clavicle MRI for forensic age estimation. Our hypotheses were that age estimation would benefit from 1) discarding stages 1 and 4/5; 2) including advanced substages 3aa, 3ab, and 3ac; 3) taking both clavicles into account; and 4) excluding morphological variants.Study TypeProspective cross‐sectional.PopulationHealthy Caucasian volunteers between 11 and 30 years old (524; 277 females, 247 males).Field Strength/Sequence3T, T1‐weighted gradient echo volumetric interpolated breath‐hold examination (VIBE) MR‐sequence.AssessmentFour observers applied the most elaborate staging technique for long bone development that has been described in the current literature (including stages, substages, and advanced substages). One of the observers repeated a random selection of the assessments in 110 participants after a 2‐week interval. Furthermore, all observers documented morphological variants.Statistical TestsWeighted kappa quantified reproducibility of staging. Bayes' rule was applied for age estimation with a continuation ratio model for the distribution of the stages. According to the hypotheses, different models were tested. Mean absolute error (MAE) differences between models were compared, as were MAEs between cases with and without morphological variants.ResultsWeighted kappa equaled 0.82 for intraobserver and ranged between 0.60 and 0.64 for interobserver agreement. Stages 1 and 4/5 were allocated interchangeably in 4.3% (54/1258). Age increased steadily in advanced substages of stage 3, but improvement in age estimation was not significant (right P = 0.596; left P = 0.313). The model that included both clavicles and discarded stages 1 and 4/5 yielded an MAE of 1.97 years, a root mean squared error of 2.60 years, and 69% correctly classified minors. Morphological variants rendered significantly higher MAEs (right 3.84 years, P = 0.015; left 2.93 years, P = 0.022).Data ConclusionOur results confirmed hypotheses 3) and 4), while hypotheses 1) and 2) remain to be investigated in larger studies.Level of Evidence: 1Technical Efficacy: Stage 2J. Magn. Reson. Imaging 2020;51:377–388.
Sex differences in limbic network and risk‐taking propensity in healthy individuals
Authors: Bajaj Sahil , Killgore William D. S. 
Published: August 2019

AbstractLittle is known about the structural neural substrates that may contribute to sex differences in risk‐taking propensity (RTP). A close association between risk‐seeking behavior and the emotional‐regulation network led us to hypothesize that the sex differences in RTP would be associated with sex differences in brain morphometry of the limbic network (LN). We collected RTP scores using the bubble sheet version of the evaluation of risk (EVAR) scale and neuroanatomical data from 57 healthy individuals (29 males). The EVAR scale included sub‐scales measuring recklessness/impulsivity, self‐confidence, and need for control (NFC). We observed significant sex differences in NFC showing greater desire for control and dominance in males than females (multivariate analysis of covariance, MANCOVAN: p = .01). Morphometry analysis showed that it was only the right LN, which showed significant sex differences in normalized surface area, normalized cortical volume, and adjusted mean curvature index (females > males) at p < .01 (MANCOVAN, corrected for multiple comparisons). Correlation analysis showed that greater curvature of the right LN was significantly associated with lower desire for control in high‐risk events (r = −.31, p = .02 at 95% CI of [−0.53, –0.05]). Our findings suggest that the normalized cortical measures could indicate specific sex differences in brain morphometry, particularly within the LN. The curvature index was the only differentiating factor for greater/lower propensity for risk‐taking behavior in overall sample. Therefore, the LN and the curvature measures could be key biomarkers, which play an important role in predicting risk‐taking behavior.