bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interactive Physics‐based Ink Splattering Art Creation
Authors: Lei Su‐Ian Eugene , Chen Ying‐Chieh , Chen Hsiang‐Ting , Chang Chun‐Fa 
Published: November 2013

AbstractThis paper presents an interactive system for ink splattering, a form of abstract art that artists splat ink onto the canvas. The default input device of our system is a pressure‐sensitive 2D stylus, the most common sketching tool for digital artists, and we propose two interaction mode:ink‐flicking modeandink‐dripping mode, that are designed to be analogous to the artistic techniques of ink splattering in real world. The core of our ink splattering system is a novel three‐stage ink splattering framework that simulates the physics‐based interaction of ink with different mediums including brush heads, air and paper. We have implemented the physical engine in CUDA and the whole simulation process runs at interactive speed.
Modeling by Drawing with Shadow Guidance
Authors: Fan Lubin , Wang Ruimin , Xu Linlin , Deng Jiansong , Liu Ligang 
Published: November 2013

AbstractModeling 3D objects is difficult, especially for the user who lacks the knowledge on 3D geometry or even on 2D sketching. In this paper, we present a novel sketch‐based modeling system which allows novice users to create 3D custom models by assembling parts based on a database of pre‐segmented 3D models. Different from previous systems, our system supports the user with visualized and meaningful shadow guidance under his strokes dynamically to guide the user to convey his design concept easily and quickly. Our system interprets the user's strokes as similarity queries into database to generate the shadow image for guiding the user's further drawing and returns the 3D candidate parts for modeling simultaneously. Moreover, our system preserves the high‐level structure in generated models based on prior knowledge pre‐analyzed from the database, and allows the user to create custom parts with geometric variations. We demonstrate the applicability and effectiveness of our modeling system with human subjects and present various models designed using our system.
The POP Buffer: Rapid Progressive Clustering by Geometry Quantization
Authors: Limper M. , Jung Y. , Behr J. , Alexa M. 
Published: November 2013

AbstractWithin this paper, we present a novel, straightforward progressive encoding scheme for general triangle soups, which is particularly well‐suited for mobile and Web‐based environments due to its minimal requirements on the client's hardware and software. Our rapid encoding method uses a hierarchy of quantization to effectively reorder the original primitive data into several nested levels of detail. The resulting stateless buffer can progressively be transferred as‐is to the GPU, where clustering is efficiently performed in parallel during rendering. We combine our approach with a crack‐free mesh partitioning scheme to obtain a straightforward method for fast streaming and basic view‐dependent LOD control.
Learning to Predict Localized Distortions in Rendered Images
Authors: Čadík Martin , Herzog Robert , Mantiuk Rafał , Mantiuk Radosław , Myszkowski Karol , Seidel Hans‐Peter 
Published: November 2013

AbstractIn this work, we present an analysis of feature descriptors for objective image quality assessment. We explore a large space of possible features including components of existing image quality metrics as well as many traditional computer vision and statistical features. Additionally, we propose new features motivated by human perception and we analyze visual saliency maps acquired using an eye tracker in our user experiments. The discriminative power of the features is assessed by means of a machine learning framework revealing the importance of each feature for image quality assessment task. Furthermore, we propose a new data‐driven full‐reference image quality metric which outperforms current state‐of‐theart metrics. The metric was trained on subjective ground truth data combining two publicly available datasets. For the sake of completeness we create a new testing synthetic dataset including experimentally measured subjective distortion maps. Finally, using the same machine‐learning framework we optimize the parameters of popular existing metrics.
Incorporating spatial constraints in different periods of the annual cycle improves species distribution model performance for a highly mobile bird species
Authors: Cardador Laura , Sardà‐Palomera Francesc , Carrete Martina , Mañosa Santi 
Published: November 2013

AbstractAimThe knowledge of both potential distribution and habitat suitability is fundamental for conservation planning and management of a variety of taxa world‐wide. Species distribution models (SDMs) are increasingly applied as predictive tools for these purposes. Such models are based on the concept of ecological niche and assume that species distribute themselves based on niche spaces defined by climate and habitat features. However, this assumption can be violated due to the existence of pure spatial range constraints, a factor rarely accounted for in SDMs, particularly for highly mobile species. We analyse whether pure distance effects, niche‐based environmental responses or a combination of both factors can play an important role in limiting the large‐scale distribution of highly mobile species.LocationSpain, southern Europe.MethodsWe modelled the spatial distribution of an expanding raptor species, the marsh harrier Circus aeruginosus, in Spain. We implemented one conventional statistical method (generalized linear model) and one nonparametric technique (maximum entropy, Maxent) using a large dataset on marsh harrier occurrence (n = 1586) in two different periods of the annual cycle, that is breeding and wintering seasons. We developed models that included environmental variables and that either ignored or incorporated spatial constraints using spatial eigenvector mapping (spatial filters).ResultsBy comparing model accuracy, we found evidence that the distribution of marsh harriers in Spain was spatially constrained beyond environmental variables and that the effect of spatial constraints varies depending on the period of their annual cycle.Main conclusionsContrary to the equilibrium postulate, our results support the prediction that environmental specializations do not necessarily result in complete habitat matching due to dispersal limitations. Thus, ignoring spatial constraints in SDMs can lead to misunderstandings of the ecological mechanisms that explain species range limits.
The stability of the Manual Ability Classification System over time
Authors: Öhrvall Ann‐Marie , Krumlinde‐Sundholm Lena , Eliasson Ann‐Christin 
Published: November 2013

AimTo evaluate the stability over time of the Manual Ability Classification System (MACS) levels.MethodThe study group comprised 1267 children with cerebral palsy (746 males, 521 females) who were followed from 2005 to 2010 with two or more registered MACS classifications rated at least 1 year apart. Thirty‐five percent of the children (n=445) had four MACS registrations. The children were between 4 and 17 years old at their first rating, The stability over time was also compared between children who were younger (4y of age) or older (≥10y) at the time of their first classification.ResultsAn excellent stability was found between two ratings at 1‐year intervals with an intraclass correlation coefficient (ICC) of 0.97 (95% CI 0.97–0.97) and 82% agreement (n=1267). The stability was also excellent for two ratings performed 3 to 5 years apart (ICC 0.96; 95% CI 0.95–0.97) with an agreement of 78% (n=445). Across four ratings, 70% of the children remained at the same level. The results were similar for younger and older children, indicating that stability was not influenced by age.InterpretationThis study provides evidence that MACS levels are stable over time and that the classification has predictive value.
Outcomes Following Surgical Correction of Pure Aortic Regurgitation in Presence or Absence of Significant Functional Mitral Regurgitation
Authors: MacHaalany Jimmy , Bertrand Olivier F. , Voisine Pierre , O'Connor Kim , Bernier Mathieu , Dubois‐Sénéchal Isaie‐Nicolas , Jacques Pierre‐Olivier , Viel Isabelle , Dubois Michelle , Sénéchal Mario 
Published: November 2013

BackgroundFunctional mitral regurgitation (MR) can occur secondary to severe aortic regurgitation (AR). However, data on the overall impact of mitral surgical intervention after aortic valve replacement (AVR) are scarce. We sought to study the left ventricular (LV) remodeling process and determine predictors of clinical outcomes of patients with pure severe AR in presence or absence of significant functional MR.MethodsPatients were categorized into AR‐MR group (≤ mild MR; n = 51, 76%) and AR + MR group (≥ moderate MR; n = 16, 24%). All patients in the AR + MR group underwent AVR and MR correction. Serial echocardiographic measurements and clinical follow‐up up to 5 years were obtained in all patients.ResultsSignificant reverse LV remodeling occurred in both groups compared with baseline. No 30‐day deaths occurred. Mortality and heart failure‐related hospitalization rates, at follow‐up, were significantly higher in the AR + MR group (19% vs. 2%, P = 0.04 and 38% vs. 12% P = 0.03, respectively), but a similar proportion of patients from both groups was in New York Heart Association class I or II (87% vs. 92%, P = 0.62). Preoperative indexed stroke volume (SV) <50 mL/m2 was the only independent predictor of death and/or rehospitalization after surgery (odds ratio: 61.1, [95% CI, 12.6–425.2]; P < 0.0001).ConclusionDespite being a higher risk population, patients with moderate‐to‐severe functional MR secondary to severe AR experience similar postoperative mortality at the expense of a moderately higher 5‐year overall mortality, rate of hospitalization for congestive heart failure, and medication use. Preoperative indexed SV < 50 mL/m2 may be helpful in predicting long‐term outcomes.
Feeding by sugarcane aphid, Melanaphis sacchari, on sugarcane cultivars with differential susceptibility and potential mechanism of resistance
Authors: Akbar W. , Showler A.T. , Reagan T.E. , Davis J.A. , Beuzelin J.M. 
Published: November 2013

AbstractFeeding behavior of Melanaphis sacchari Zehntner (Hemiptera: Aphididae) was studied on sugarcane, Saccharum spp. (Poaceae), cultivars HoCP 91‐555 (resistant), LCP 85‐384 (moderately resistant), and L 97‐128 (susceptible) using the electrical penetration graph (EPG) technique. Constitutive concentrations of total phenolics and available carbohydrates, water potential at the whole‐leaf tissue level, and free amino acids (FAAs) in phloem sap extracts, and in honeydew produced by aphids fed on L 97‐128 and HoCP 91‐555 were determined. Cultivar did not influence time for M. sacchari to access phloem sieve elements. Total time in sieve elements was ca. two‐fold greater on L 97‐128 than on HoCP 91‐555, whereas it did not differ from LCP 85‐384 in either cultivar. The mean duration of individual events associated with phloem sap ingestion was ca. 50% shorter on both HoCP 91‐555 and LCP 85‐384 than on L 97‐128. Although cultivar effects were not detected for levels of total phenolics, available carbohydrates, and water potential, two free essential amino acids, histidine and arginine, were absent from phloem sap in HoCP 91‐555. Two free essential amino acids, leucine and isoleucine, and two free non‐essential amino acids, tyrosine and proline, were absent from honeydew of aphids fed on HoCP 91‐555. These results suggest that despite apparent biosynthesis of some FAAs, the absence of important FAAs in the phloem sap of HoCP 91‐555 and the inability of M. sacchari and its endosymbionts (e.g., Buchnera) to derive specific free essential and non‐essential amino acids from other ingested molecules, possibly along with other unidentified factors, underlie the pest's decreased phloem sap ingestion and consequently reduced growth potential on HoCP 91‐555.
A multidimensional typology of riverbank habitats explains the distribution of European grayling (Thymallus thymallus L.) fry in a temperate river
Authors: Cattanéo Franck , Grimardias David , Carayon Marie , Persat Henri , Bardonnet Agnès 
Published: November 2013

AbstractFor species at risk, rehabilitation of riverbank habitats may be a promising way to sustain abundance of early‐life stages, provided that fish—habitat relationships are significant and the scale at which they are described is relevant to both fish ecology and management purposes. Here, habitat use of the threatened European grayling (Thymallus thymallus) fry was analysed in an alluvial French‐Swiss border river, the Allondon. Based on five descriptive variables, a practical typology of available bank habitats was first defined to categorise ecological conditions into five easily distinguishable habitat types (HTs). These represent marginal patches of multivariate homogeneous habitat from a few to tens of square metres [median area = 8 m−2; range (10%–90%) = 1.9–32.6 m−2]. Comparing the habitat used by fry to those available revealed a clear selection for two of the five HTs, that is, gravel bar shorelines (HT4) and depositional beaches along pool margins (HT3). Because of their multidimensional nature and larger spatial scale, HTs did not strictly reflect an up‐scaling of univariate selection patterns at the microhabitat scale. Results emphasised that the preservation of the alluvial dynamics of the river and bank patchiness are basic to European grayling, and suggested that the patch scale may represent a good compromise between ecological relevancy and practical management needs. The herein developed typological approach may be transferred to other rivers and help conserve European grayling populations by enhancing fry habitat suitability.
Reasons for cannabis use among youths at ultra high risk for psychosis
Authors: Gill Kelly E. , Poe Lucy , Azimov Neyra , Ben‐David Shelly , Vadhan Nehal P. , Girgis Ragy , Moore Holly , Cressman Victoria , Corcoran Cheryl M. 
Published: November 2013

AbstractAimCannabis use is prevalent in schizophrenia and its risk states, despite its association with anxiety and positive symptoms. While schizophrenia patients report using cannabis for mood enhancement and social motives, it is not known what motivates clinical high risk (CHR) patients to use cannabis.MethodsAmong 102 CHR patients, 24 (23%) endorsed cannabis use, and were queried as to reasons for use, using a scale previously administered in schizophrenia patients. We hypothesized a primary motivation for mood enhancement related to anhedonia. We evaluated the ‘self‐medication’ hypothesis by examining if motivation for symptom relief was associated with concurrent severity of symptoms.ResultsThe rank order of reasons for use in CHR patients was similar to that previously reported by schizophrenia patients, with mood enhancement and social motives as primary reasons for use, and the motivation to use cannabis for symptom relief comparatively less common. Motivation for mood enhancement had a trend association with anhedonia. Motivation for symptom relief was entirely unrelated to concurrent severity of positive and anxiety symptoms.ConclusionAs in schizophrenia, CHR patients primarily use cannabis for mood enhancement, especially in the context of decreased motivation to seek pleasure otherwise. Negative symptoms may drive cannabis use in schizophrenia and its risk states, which may exacerbate positive symptoms. By contrast, CHR patients do not report using cannabis to ‘self‐medicate’ emergent positive symptoms. The understanding of motives for cannabis use among CHR patients may be informative for treatments aimed at reducing use, such as motivational interviewing.
A kinetic model of catabolic adaptation and protein reprofiling in Saccharomyces cerevisiae during temperature shifts
Authors: Mensonides Femke I. C. , Brul Stanley , Hellingwerf Klaas J. , Bakker Barbara M. , Teixeira de Mattos M. Joost 
Published: November 2013

In this article, we aim to find an explanation for the surprisingly thin line, with regard to temperature, between cell growth, growth arrest and ultimately loss of cell viability. To this end, we used an integrative approach including both experimental and modelling work. We measured the short‐ and long‐term effects of increases in growth temperature from 28 °C to 37, 39, 41, 42 or 43 °C on the central metabolism of Saccharomyces cerevisiae. Based on the experimental data, we developed a kinetic mathematical model that describes the metabolic and energetic changes in growing bakers' yeast when exposed to a specific temperature upshift. The model includes the temperature dependence of core energy‐conserving pathways, trehalose synthesis, protein synthesis and proteolysis. Because our model focuses on protein synthesis and degradation, the net result of which is important in determining the cell's capacity to grow, the model includes growth, i.e. glucose is consumed and biomass and adenosine nucleotide cofactors are produced. The model reproduces both the observed initial metabolic response and the subsequent relaxation into a new steady‐state, compatible with the new ambient temperature. In addition, it shows that the energy consumption for proteome reprofiling may be a major determinant of heat‐induced growth arrest and subsequent recovery or cell death.
High Hemoglobin A1c levels and glycemic variability increase risk of severe hypoglycemia in diabetic hemodialysis patients
Authors: Williams Mark E. , Garg Rajesh , Wang Weiling , Lacson Ronilda , Maddux Franklin , Lacson Eduardo 
Published: November 2013

AbstractWhile hyperglycemia is central to the pathogenesis and management of diabetes mellitus, hypoglycemia and glucose variability also contribute to outcomes. We previously reported on the relationship of glycemic control to outcomes in a large population of diabetic end‐stage renal disease (ESRD) patients. Recognizing that ESRD is a risk factor for severe hypoglycemia, we have now analyzed the association between glycosylated hemoglobin A1c (HgbA1c) levels and glycemic variability in those with hypoglycemia. This is a retrospective study of patients with diabetes enrolled in a large hemodialysis program. Hypoglycemia was identified from hospital discharge diagnostic codes. Glycemic variability was assessed by the standard deviation of HgbA1c and glucose levels over time. Hypoglycemia as a discharge diagnosis was documented in 4.1% of patients. Higher baseline HgbA1c was associated with greater risk for hypoglycemia hospitalization, a finding confirmed by time‐lagged HgbA1c levels drawn a quarter earlier. Higher baseline HgbA1c categories were also associated with greater variability in HgbA1c levels during the analysis period. Similarly, greater glucose variability was associated with higher mean glucose levels by trend analysis. High, not low, HgbA1c levels are associated with greater risk of severe hypoglycemia, which may derive from glucose variability in the setting of treatment for hyperglycemia. High HgbA1c and glycemic variability are associated with increased risk of hypoglycemia in individuals with diabetes and ESRD.
Patient mood flux on‐ and off‐hemodialysis
Authors: Leshem Micah , Sliman Wisam , Taweel Souzan , Shamshoum Rana , Armaly Zaher 
Published: November 2013

AbstractMood in hemodialysis patients is most often evaluated off‐dialysis, possibly underestimating mood during dialysis. We compared mood in patients on‐ and off‐dialysis using the Positive and Negative Affect Schedule for 6 consecutive days. Initially, scores are normal, but subsequently positive affect falls below, and negative affect increases above, off‐dialysis values, suggesting increasing depression and anxiety, particularly in women. Quality‐of‐life questions confirm the effects of the dialysis session on mood. Prevalence and severity of depression evaluated off‐dialysis, or once only, may be underestimated, especially in women, because hemodialysis patients undergo mood swings centering on the dialysis session. Focusing insight on the dialysis session could improve coping among patients and caretakers.
Thrombosed hemodialysis access as an unusual source of emboli in the upper extremity of a kidney transplant recipient
Authors: Kim Mi‐Hyeong , Hwang Jeong Kye , Chun Ho Jong , Moon In Sung , Kim Ji Il 
Published: November 2013

AbstractArteriovenous fistula (AVF) is no longer used in kidney transplant recipients. However, there is no consensus regarding whether or not to ligate a well‐functioning AVF after successful kidney transplantation, particularly in patients with well and stably functioning kidney transplants. Most AVFs without complications are left in situ and more than one‐third of native AVFs close spontaneously. The currently accepted policy toward thrombosed AVFs is retention within the patient's extremity without treatment. These thrombosed AVFs seldom cause serious problems. However, when combined with aneurysmal dilatation of the proximal vein adjacent to the arterial anastomotic area, the AVF could act as the source of distal arterial emboli. This is very similar clinical scenario to that observed in embolization from a peripheral arterial aneurysm. Here we describe a case report of upper extremity ischemia following massage of a thrombosed aneurysmal AVF. The patient was successfully treated with a combination of catheter‐directed thromboaspiration, thrombolysis, and surgical repair of the thrombosed AVF. To the best of our knowledge, this is the first report of upper extremity embolism after massage of a thrombosed aneurysmal AVF involving this combined treatment.
Influence of carbohydrates on self‐association of mung bean protein hydrolysate in the presence of amphiphilic asiatic acid
Authors: Wongekalak La‐Ongdao , Hongsprabhas Parichat 
Published: November 2013

SummaryThis study investigated the influence of surface‐inactive carbohydrates on association characteristics of amphiphilic mung bean protein hydrolysate (MPH) and asiatic acid (AA) in aqueous suspension (11.72–11.94% total solids). The carbohydrates investigated were trehalose, maltodextrin, mixed trehalose–maltodextrin and mixed maltodextrin–starch. The presence of low‐molecular‐weight carbohydrates enhanced micellisation of AA to form micrometre‐sized particles due to depletion flocculation. Nonetheless, the presence of starch retained the submicrometre size of AA. In contrast, the presence of starch enhanced self‐association of MPH via segregative phase separation. However, the mixed suspensions containing MPH, AA and carbohydrate in a ratio of 1:0–0.072:2.34, respectively, retained particle sizes of around 300 nm regardless of the carbohydrate used. It was found that the MPH–AA co‐aggregates were stable against the osmotic effect of carbohydrates. The results suggest that carbohydrates regulated the aggregate size and surface hydrophobic region of MPH and MPH–AA by controlling surface‐induced aggregation.