bluuebunny/crossref_metadata_2025_split huggingface dataset:
A hemorrhagic transformation model of mechanical stroke therapy with acute hyperglycemia in mice
Authors: Couret David , Bourane Steeve , Catan Aurélie , Nativel Brice , Planesse Cynthia , Dorsemans Anne‐Claire , Ait‐Arsa Imade , Cournot Maxime , Rondeau Philippe , Patche Jessica , Tran‐Dinh Alexy , Lambert Gilles , Diotel Nicolas , Meilhac Olivier 
Published: December 2017

AbstractClinical benefit for mechanical thrombectomy (MT) in stroke was recently demonstrated in multiple large prospective studies. Acute hyperglycemia (HG) is an important risk factor of poor outcome in stroke patients, including those that underwent MT. The aim of this therapy is to achieve a complete reperfusion in a short time, given that reperfusion damage is dependent on the duration of ischemia. Here, we investigated the effects of acute HG in a mouse model of ischemic stroke induced by middle cerebral artery occlusion (MCAO). Hyperglycemic (intraperitoneal [ip] injection of glucose) and control (ip saline injection) 10‐week male C57BL6 mice were subjected to MCAO (30, 90, and 180 min) followed by reperfusion obtained by withdrawal of the monofilament. Infarct volume, hemorrhagic transformation (HT), neutrophil infiltration, and neurological scores were assessed at 24 hr by performing vital staining, ELISA immunofluorescence, and behavioral test, respectively. Glucose injection led to transient HG (blood glucose = 250–390 mg/dL) that significantly increased infarct volume, HT, and worsened neurological outcome. In addition, we report that HG promoted blood‐brain barrier disruption as shown by hemoglobin accumulation in the brain parenchyma and tended to increase neutrophil extravasation within the infarcted area. Acute HG increased neurovascular damage for all MCAO durations tested. HTs were observed as early as 90 min after ischemia under hyperglycemic conditions. This model mimics MT ischemia/reperfusion and allows the exploration of brain injury in hyperglycemic conditions.
Cytological features in eight patients with ALK‐rearranged lung cancer
Authors: Kuroda Naoto , Ohara Masahiko , Wada Yukari , Yasuoka Kaori , Mizuno Keiko , Yorita Kenji , Obayashi Chiho , Takeuchi Kengo 
Published: December 2017

BackgroundALK‐rearranged lung cancer has been recently identified. Although signet‐ring cell morphology and mucinous cribriform pattern are considered to be characteristic of ALK‐rearranged lung cancer. Some studies have also suggested cytological features.MethodsThis study investigated cytological features of ALK‐rearranged lung cancer in eight patients.ResultsCytologically, the tumor cell group varied from isolated to large clusters. Small nucleoli, fine granular to vesicular chromatin, and nuclear groove were observed in all patients. Furthermore, extracellular and intracellular mucin and signet‐ring cells were identified in five patients.ConclusionThis study demonstrated that the presence of extracellular and intracellular mucin, signet‐ring cells, small nucleoli, fine granular to vesicular chromatin, and nuclear groove in cytological samples may be a diagnostic clue for ALK‐rearranged lung cancer.
Endoscopic ultrasound guided fine‐needle aspiration: What variables influence diagnostic yield?
Authors: Mohanty Sambit K. , Pradhan Dinesh , Sharma Shivani , Sharma Anurag , Patnaik Niharika , Feuerman Martin , Bonasara Robert , Boyd Adrienne , Friedel David , Stavropoulos Stavros , Gupta Mala 
Published: December 2017

BackgroundEndoscopic ultrasound (EUS) guided fine‐needle aspiration (FNA) plays an important role in the diagnosis of various lesions. We sought to determine factors that influence the diagnostic yield of EUS–FNA, specifically, the presence of a cytopathologist, FNA site, and the endoscopist's skill.MethodsThe data on cytopathologist's availability, duration of procedure, number of passes made, and diagnostic material for cell block (CB) preparation was collected over an 18 months period.Results230 specimens (218 patients) were obtained from pancreas (114), lymph node (64), submucosal lesions of the gastrointestinal tract (27), liver (8), and miscellaneous (17) sites. The results were classified as informative (77.8%) and non‐informative (NI) (22.2%). The NI rate was significantly high, when a cytopathologist was absent (P = .0008). As the likelihood of cytopathologist's presence increased from 35.8% to 82.9%, the CB quality increased (P < .0001). In the absence of a cytopathologist, the likelihood of NI result increased more than 2‐fold (P = .03) and of an inadequate CB increased 3‐fold (P < .0001). The more experienced endoscopist “C” (compared to the less experienced “A + B”) was less likely to get inadequate material (40.5% vs. 66.3%) (P = .0001).ConclusionThe diagnostic yield of EUS–FNA is significantly related to the presence of an on‐site cytopathologist and endoscopist's skill in procuring diagnostic material.
Indicators of clinical significance among women in the community with binge‐eating disorder symptoms: Delineating the roles of binge frequency, body mass index, and overvaluation
Authors: Mitchison Deborah , Rieger Elizabeth , Harrison Carmel , Murray Stuart B. , Griffiths Scott , Mond Jonathan 
Published: December 2017

AbstractObjectiveThis study aimed to investigate the relative contributions of binge eating, body image disturbance, and body mass index (BMI) to distress and disability in binge‐eating disorder (BED).MethodA community sample of 174 women with BED‐type symptomatology provided demographic, weight, and height information, and completed measures of overvaluation of weight/shape and binge eating, general psychological distress and impairment in role functioning. Correlation and regression analyses examined the associations between predictors (binge eating, overvaluation, BMI), and outcomes (distress, functional impairment).ResultsBinge eating and overvaluation were moderately to strongly correlated with distress and functional impairment, whereas BMI was not correlated with distress and only weakly correlated with functional impairment. Regression analysis indicated that both overvaluation and binge eating were strong and unique predictors of both distress and impairment, the contribution of overvaluation to variance in functional impairment being particularly strong, whereas BMI did not uniquely predict functional impairment or distress.DiscussionThe findings support the inclusion of overvaluation as a diagnostic criterion or specifier in BED and the need to focus on body image disturbance in treatment and public health efforts in order to reduce the individual and community health burden of this condition.
A Text Input System Based on Information of Voluntary Blink and Eye‐Gaze Using an Image Analysis
Authors: SATO HIRONOBU , ABE KIYOHIKO , OHI SHOICHI , OHYAMA MINORU 
Published: December 2017

SUMMARYEye‐gaze input interfaces have been proposed. The main purpose of these systems is communication aid for the severely disabled. We have previously developed a text input system using eye‐gaze based on an image analysis under natural light. This input system employed dwell time based method to select indicators. By employing voluntary (conscious) blink based method rather than dwell time as indicator selection, it is expected to increase the efficiency of text input. We propose a new text input system based on eye‐gaze and voluntary blink method. The newly added eye blink measurement function is necessary to realize high time resolution. Furthermore, each of the eye‐gaze and eye blink measurements is very time consuming. If these measurements are performed sequentially, it is difficult to finish calculation within required time for real‐time processing. To cope with this problem, we realize the concurrent processing of these measurements by multithread structure. We conducted an examination of nine subjects to input Japanese text using our new input system. All of nine subjects could complete the task of Japanese text input. Based on a result of this experiment, we evaluated our new system.
Associations among arbuscular mycorrhizal fungi and seedlings are predicted to change with tree successional status
Authors: Bachelot Benedicte , Uriarte María , Muscarella Robert , Forero‐Montaña Jimena , Thompson Jill , McGuire Krista , Zimmerman Jess , Swenson Nathan G. , Clark James S. 
Published: December 2017

AbstractArbuscular mycorrhizal (AM) fungi in the soil may influence tropical tree dynamics and forest succession. The mechanisms are poorly understood, because the functional characteristics and abundances of tree species and AM fungi are likely to be codependent. We used generalized joint attribute modeling to evaluate if AM fungi are associated with three forest community metrics for a sub‐tropical montane forest in Puerto Rico. The metrics chosen to reflect changes during forest succession are the abundance of seedlings of different successional status, the amount of foliar damage on seedlings of different successional status, and community‐weighted mean functional trait values (adult specific leaf area [SLA], adult wood density, and seed mass). We used high‐throughput DNA sequencing to identify fungal operational taxonomic units (OTUs) in the soil. Model predictions showed that seedlings of mid‐ and late‐successional species had less leaf damage when the 12 most common AM fungi were abundant compared to when these fungi were absent. We also found that seedlings of mid‐successional species were predicted to be more abundant when the 12 most common AM fungi were abundant compared to when these fungi were absent. In contrast, early‐successional tree seedlings were predicted to be less abundant when the 12 most common AM fungi were abundant compared to when these fungi were absent. Finally, we showed that, among the 12 most common AM fungi, different AM fungi were correlated with functional trait characteristics of early‐ or late‐successional species. Together, these results suggest that early‐successional species might not rely as much as mid‐ and late‐successional species on AM fungi, and AM fungi might accelerate forest succession.
C5aR activation in the absence of C5a: A new disease mechanism of autoimmune hemolytic anemia in mice
Authors: Syed Shahzad N. , Rau Eduard , Ziegelmann Mareen , Sogkas Georgios , Brüne Bernhard , Schmidt Reinhold E. 
Published: December 2017

AbstractIgG Fc receptors (FcγRs) and the C5a anaphylatoxin receptor (C5aR) were identified as key regulators of type II autoimmune injury in mice. However, and with respect to C5aR, the relative importance of C5a for IgG autoantibody‐induced cellular destruction remained unclear. Using an experimental model of autoimmune hemolytic anemia (AIHA), we here report marked differences in the development of AIHA between mice lacking C5aR and C5‐deficient (Hc0) strain, indicating a limited role of C5 in this type of C5aR‐regulated disease. Ex‐vivo‐analyses of liver homogenates from anemic Hc0 mice demonstrate C5a‐independent C5aR activation, upregulation of FcγR expression and amplification of erythrophagocytosis by macrophages. As assessed by pharmacological inhibition studies, targeting of C5aR, but not of C5, is effective in treating experimental AIHA. Collectively, these results define a previously unrecognized disease mechanism of C5aR activation in AIHA that does not necessarily involve C5 and C5a.
Pain patterns during adolescence can be grouped into four pain classes with distinct profiles: A study on a population based cohort of 2953 adolescents
Authors: Holden S. , Rathleff M.S. , Roos E.M. , Jensen M.B. , Pourbordbari N. , Graven‐Nielsen T. 
Published: December 2017

AbstractIntroductionAlthough multi‐site pain is common in adolescents, pain conditions are frequently diagnosed and treated in isolation. Little is known about whether there are specific sites in which pain commonly co‐occurs. This study examines the patterns of pain in adolescents, and whether these are associated with sports participation, health‐related quality of life (HRQoL), and sex.MethodsIn previously collected cohort data (‘Adolescent Pain in Aalborg‐2011’), adolescents (aged 12–19) completed an online questionnaire, including demographic data, current pain sites, sports participation and HRQoL (assessed by Euro‐QoL 5D‐3L). Latent class analysis was used to classify spatial pain patterns, based on the pain sites. The analysis included 2953 adolescents.ResultsFour classes were identified as follows: (1) little or no pain (63% of adolescents), (2) majority lower extremity pain (10%), (3) multi‐site bodily pain (22%) and (4) head and stomach pain (3%). The lower extremity multi‐site pain group reported highest weekly sports participation (p < 0.001; mean: 2.9 days/week; 95% CI 2.7 to 3.2), while the multi‐site bodily pain and the multi‐site head and stomach pain groups had lowest EQ‐5D scores (p < 0.001). Males were more likely to belong to the little or no pain class, whereas females were more likely to belong to the multi‐site bodily pain class.ConclusionsLatent class analysis identified distinct classes of pain patterns in adolescents, characterized by sex, differences in HRQoL and sports participation. The class with multi‐site bodily pain and reduced quality of life was the largest among adolescents reporting pain, and future research on treatment strategies should consider targeting this group.
Direct Alcohol‐Fueled Low‐Temperature Solid Oxide Fuel Cells: A Review
Authors: Yang Byung Chan , Koo Junmo , Shin Jeong Woo , Go Dohyun , Shim Joon Hyung , An Jihwan 
Published: December 2017

AbstractLow‐temperature solid oxide fuel cells (LT‐SOFCs, operating temperature≤600 °C) are advantageous in potential applicability, affordability, and durability compared to conventional SOFCs (operating temperature: 800–1000 °C). Direct operation of LT‐SOFCs on liquid alcohol fuels can further improve their portability as well as accessibility to the fuel. In this review, we overview the results of LT‐SOFCs directly fueled by liquid alcohols that operate at 600 °C and below. Fundamentals regarding operation principles, losses, as well as reactions associated with liquid alcohol‐fueled LT‐SOFCs are presented. The materials, structures, and fabrication processes of cell components, namely anode, electrolyte, and cathode, are mainly reviewed. The electrochemical performances of alcohol‐fueled LT‐SOFCs are also summarized and compared with those of H2‐fueled LT‐SOFCs.
Cloud to IDA: Efficient fragility assessment with limited scaling
Authors: Miano Andrea , Jalayer Fatemeh , Ebrahimian Hossein , Prota Andrea 
Published: December 2017

SummaryIncremental dynamic analysis (IDA) leads to curves expressed in terms of structural response versus intensity, commonly known as the IDA curves. It is known that implementation of IDA usually involves significant computational effort and most often significant scaling of the original records to various intensity levels. Employing as the performance variable the critical demand to capacity ratio (DCR) throughout the structure, which is equal to unity at the onset of the limit state, facilitates the identification of the intensity values at the onset of a desired limit state and hence the implementation of the IDA procedure. Employing the structural response to un‐scaled records and the corresponding regression‐based response predictions (a.k.a., the “Cloud Analysis”) helps in identifying the range of intensity values corresponding to demand to capacity ratio values in the vicinity of unity. The Cloud to IDA procedure for structural fragility assessment is proposed on the premise of exploiting the Cloud Analysis results to obtain the IDA curves both with minimum number of analyses and minimum amount of scaling. The transverse frame of a shear‐critical 7‐story older RC building in Van Nuys, CA, which is modeled in Opensees with fiber‐section considering the flexural‐shear‐axial interactions and the bar slip, is employed as a case study. It is demonstrated, by comparing the results to IDA and other state of the art non‐linear dynamic procedures based on no scaling or spectral‐shape‐compatible scaling, that the Cloud to IDA procedure leads to reliable results in terms of structural fragility and risk for the prescribed limit state.
Transport of moderately sorted gravel at low bed shear stresses: The role of fine sediment infiltration
Authors: Perret Emeline , Berni Céline , Camenen Benoît , Herrero Albert , El Kadi Abderrezzak Kamal 
Published: December 2017

AbstractA reliable estimation of sediment transport in gravel‐bed streams is important for various practical engineering and biological studies (e.g., channel stability design, bed degradation/aggradation, restoration of spawning habitat). In the present work, we report original laboratory experiments investigating the transport of gravel particles at low bed shear stresses. The laboratory tests were conducted under unsteady flow conditions inducing low bed shear stresses, with detailed monitoring of the bed topography using a laser scanner. Effects of bed surface arrangements were documented by testing loose and packed bed configurations. Effects of fine sediments were examined by testing beds with sand, artificial fine sand or cohesive silt infiltrated in the gravel matrix. Analysis of the experimental data revealed that the transport of gravel particles depends upon the bed arrangement, the bed material properties (e.g., size and shape, consolidation index, permeability) and the concentration of fine sediments within the surface layer of moving grains. This concentration is directly related to the distribution of fine particles within the gravel matrix (i.e., bottom‐up infiltration or bridging) and their transport mode (i.e., bedload or suspended load). Compared to loose beds, the mobility of gravel is reduced for packed beds and for beds clogged from the bottom up with cohesive fine sediments; in both cases, the bed shear stress for gravel entrainment increases by about 12%. On the other hand, the mobility of gravel increases significantly (bed shear stress for particle motion decreasing up to 40%) for beds clogged at the surface by non‐cohesive sand particles. Copyright © 2017 John Wiley & Sons, Ltd.
A strongly coupled partitioned approach for fluid‐structure‐fracture interaction
Authors: Sudhakar Y. , Wall Wolfgang A. 
Published: December 2017

SummaryWe present a novel method to model large deformation fluid‐structure‐fracture interaction, which is characterized by the fact that the fluid‐induced loads lead to fracture of the structure and the fluid medium fills the resulting crack opening; the mutual interaction between the crack faces and the surrounding fluid contributes substantially to the overall dynamics. A mesh refitting approach is used to model the quasi‐static fracture of the structure, and a robust embedded interface formulation is used to solve the fluid flow equations. The proposed method uses a strongly coupled partitioned scheme with Aitken's Δ2 method as convergence accelerator. Selected numerical examples of increasing complexity are presented to evaluate the performance of the proposed fluid‐structure‐fracture coupling algorithm. The most difficult simulation of the reported examples involves a number of complex phenomena: mixed‐mode crack propagation through the structure, fluid starts to fill the crack opening, complete fracture of the structure into two pieces of which one is carried away by the flow.
On improvements of simplified and highly stable lattice Boltzmann method: Formulations, boundary treatment, and stability analysis
Authors: Chen Z. , Shu C. , Tan D. , Wu C. 
Published: December 2017

SummaryIn this paper, we present a detailed report on a revised form of simplified and highly stable lattice Boltzmann method (SHSLBM) and its boundary treatment as well as stability analysis. The SHSLBM is a recently developed scheme within lattice Boltzmann framework, which utilizes lattice properties and relationships given by Chapman‐Enskog expansion analysis to reconstruct solutions of macroscopic governing equations recovered from lattice Boltzmann equation and resolved in a predictor‐corrector scheme. Formulations of original SHSLBM are slightly adjusted in the present work to facilitate implementation on body‐fitted mesh. The boundary treatment proposed in this paper offers an analytical approach to interpret no‐slip boundary condition, and the stability analysis in this paper fixes flaws in previous works and reveals a very nice stability characteristic in high Reynolds number scenarios. Several benchmark tests are conducted for comprehensive evaluation of the boundary treatment and numerical validation of stability analysis. It turns out that by adopting the modifications suggested in this work, lower numerical error can be expected.
The versatility of spectrum analysis for forecasting financial time series
Authors: Rostan Pierre , Rostan Alexandra 
Published: December 2017

AbstractThe versatility of the one‐dimensional discrete wavelet analysis combined with wavelet and Burg extensions for forecasting financial times series with distinctive properties is illustrated with market data. Any time series of financial assets may be decomposed into simpler signals called approximations and details in the framework of the one‐dimensional discrete wavelet analysis. The simplified signals are recomposed after extension. The final output is the forecasted time series which is compared to observed data. Results show the pertinence of adding spectrum analysis to the battery of tools used by econometricians and quantitative analysts for the forecast of economic or financial time series.
Delirium pathophysiology: An updated hypothesis of the etiology of acute brain failure
Authors: Maldonado José R. 
Published: December 2017

BackgroundDelirium is the most common neuropsychiatric syndrome encountered by clinicians dealing with older adults and the medically ill and is best characterized by 5 core domains: cognitive deficits, attentional deficits, circadian rhythm dysregulation, emotional dysregulation, and alteration in psychomotor functioning.DesignAn extensive literature review and consolidation of published data into a novel interpretation of known pathophysiological causes of delirium.ResultsAvailable data suggest that numerous pathological factors may serve as precipitants for delirium, each having differential effects depending on patient‐specific patient physiological characteristics (substrate). On the basis of an extensive literature search, a newly proposed theory, the systems integration failure hypothesis, was developed to bring together the most salient previously described theories, by describing the various contributions from each into a complex web of pathways—highlighting areas of intersection and commonalities and explaining how the variable contribution of these may lead to the development of various cognitive and behavioral dysfunctions characteristic of delirium. The specific cognitive and behavioral manifestations of the specific delirium picture result from a combination of neurotransmitter function and availability, variability in integration and processing of sensory information, motor responses to both external and internal cues, and the degree of breakdown in neuronal network connectivity, hence the term acute brain failure.ConclusionsThe systems integration failure hypothesis attempts to explain how the various proposed delirium pathophysiologic theories interact with each other, causing various clinically observed delirium phenotypes. A better understanding of the underlying pathophysiology of delirium may eventually assist in designing better prevention and management approaches.