bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship of aging, complete tooth loss, and having a dental visit in the last 12 months
Authors: Foiles Sifuentes Andriana M. , Castaneda‐Avila Maira A. , Lapane Kate L. 
Published: August 2020

AbstractObjectivesTo evaluate the extent to which dental health care visits in the past year differed among older adults with and without edentulism.Material and MethodsWe conducted a cross‐sectional study using the 2017 Medical Expenditure Panel Survey among participants aged ≥50 years (n = 10,480, weighted = 112,116,641). Two self‐reported outcome variables were used: loss of all teeth from upper and lower jaws (yes/no) and dental visit in the last 12 months (yes/no). Logistic models were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI).ResultsOverall, 11.4% of the non‐institutionalized U.S. population aged ≥50 years were edentulous; the prevalence was higher in those with advanced age. Adherence to annual oral health visits was 16% among those with edentulism, 52% among those without. The prevalence of dental care visits in the past year was higher among those with advanced age without edentulism, but for those with edentulism, the odds of visiting a dental care provider was lower in all age groups compared to those 50–59 years ((60–69 years): aOR: 0.58, CI:0.36–0.95; (70–79 years): aOR: 0.51, CI: 0.30–0.88; (≥ 80 years): aOR: 0.45, CI: 0.26–0.80)).ConclusionAlthough the prevalence of edentulism was higher in those with advanced age, oral health visits during the last 12 months were less frequent in older adults with edentulism. Interventions to improve adherence to dental care recommendations in the growing aging population are warranted.
Association between periodontitis and vascular endothelial function using noninvasive medical device—A pilot study
Authors: Fujitani Takahito , Aoyama Norio , Hirata Fumihiko , Minabe Masato 
Published: August 2020

AbstractThe present study aimed to assess the relationship between periodontal condition and endothelial function using a noninvasive device. Many recent studies have reported associations between periodontitis and cardiovascular diseases. Endothelial dysfunction is the first step of atherosclerosis, but information on the association between periodontal disease and endothelial dysfunction remains limited. Thirty‐three subjects were recruited from among patients at a private medical clinic. We examined vascular endothelial function using a noninvasive medical device and periodontal measurements including probing pocket depth, attachment level, tooth mobility, and oral cleaning condition. Subjects were divided into two groups according to endothelial function score. Tooth mobility and number of lost teeth were increased in the group with endothelial dysfunction. A greater frequency of elderly subjects and altered hemoglobin A1c levels were seen in the endothelial dysfunction group. On multiple logistic regression analysis, increased tooth mobility was independently associated with endothelial dysfunction. Increased tooth mobility, a major periodontal parameter, appears related to endothelial dysfunction.
Metal‐Catalyzed Hydrogenation of Biomass‐Derived Furfural: Particle Size Effects and Regulation Strategies
Authors: Yu Zhihao , Lu Xuebin , Wang Xiaotong , Xiong Jian , Li Xiaoyun , Zhang Rui , Ji Na 
Published: August 2020

AbstractThe hydrogenation of furfural (FUR), a typical bio‐based furan derivative, is a critical reaction within the roadmap for upgrading lignocellulosic biomass into high value‐added chemicals and liquid fuels, the performance of which is strongly correlated with the catalysts’ intrinsic peculiarities. Metal catalysts with tailorable sizes, uniform dispersions and robust sintering resistance are generally recognized as a prerequisite for obtaining better hydrogenation activity, selectivity and stability, which has prompted intensive research into metal particle size effects and their regulation strategies. The roles of metal particle sizes and corresponding dispersions of metal catalysts used for FUR hydrogenation have been clearly recognized to be crucial over the past decade. In this regard, this systematic Minireview aims to provide profound insights into particle size effects in the metal‐catalyzed hydrogenation of FUR, as well as conditional and structural approaches to regulating these effects. In addition, from the aspect of catalyst stability, the impacts and improvements of the metal particle sintering issue are analyzed. Moreover, several suggestions are proposed in response to the challenges in regulating particle size effects. Furthermore, the viewpoints presented herein would potentially contribute to the rational development of metal hydrogenation catalysts and further help to boost a more sustainable biomass refining system.
Mast cell differentiation of leukemic blasts in diverse myeloid neoplasms: A potential pre‐myelomastocytic leukemia condition
Authors: Panda Devasis , Chatterjee Gaurav , Khanka Twinkle , Ghogale Sitaram , Badrinath Yajamanam , Deshpande Nilesh , Sardana Rohan , Chaturvedi Anumeha , Rajpal Sweta , Shetty Dhanalaxmi , Patkar Nikhil V. , Gujral Sumeet , Subramanian Papagudi G. , Tembhare Prashant R. 
Published: August 2020

AbstractIntroductionMyeloid neoplasm with blasts showing mast cell (MC)‐differentiation and MC‐component less than 10% of all nucleated cells but not fulfilling the criteria for systemic mastocytosis with associated hematological neoplasm (SM‐AHN) or myelomastocytic leukemia (MML) has not been described in the literature. Herein, we report a study of diverse myeloid malignancies with blasts showing MC‐differentiation but not meeting the criteria for SM‐AHN or MML. We also evaluated the utility of flow‐cytometric immunophenotyping (FCI) in the characterization of immature‐MCs (iMCs).MethodsWe identified nine patients of myeloid neoplasms and studied their morphological, FCI, immunohistochemistry, cytogenetic and molecular characteristics. We also compared the immunophenotypic features of MCs from patient samples with control samples.ResultsThe study included patients with newly‐diagnosed acute myeloid leukemia (n = 4), chronic myelomonocytic leukemia (n = 1), and chronic myeloid leukemia on follow‐up (n = 4) showing MC differentiation in leukemic‐blasts. These patients had mildly increased MCs (range, 0.5%–3%) in bone‐marrow morphology, including immature‐forms and did not meet the criteria for either SM‐AHN or MML. On FCI, iMCs were positive for bright‐CD117, heterogeneous‐CD34, dim‐to‐negative‐HLADR, and moderate‐CD203c expression. Expression‐levels of CD123 and CD38 were higher (p < 0.001) but CD33 and CD45 were lower in iMCs compared to mature‐MC from control samples (p = 0.019 and p = 0.0037).ConclusionWe reported a rare finding of MC differentiation of leukemic blasts in diverse myeloid neoplasms and proposed it as a potential pre‐myelomastocytic leukemia condition. We described the distinct immunophenotypic signature of immature‐MCs using commonly used markers and highlighted the utility of FCI for the diagnosis of this entity.
Energy‐efficient resource allocation in relay‐aided orthogonal frequency division multiplexing cognitive radio networks with quality of service provisioning
Authors: Yan Feiyu , Zhao Jihong , Qu Hua , Xu Xiguang 
Published: August 2020

SummaryThis paper investigates the energy‐efficient resource allocation problem in orthogonal frequency division multiplexing (OFDM)‐based cognitive radio (CR) networks with multiple decode‐and‐forward relays. In order to maximize the system energy efficiency (EE), we jointly optimize the relay selection, subcarrier pairing, and power allocation subject to the transmit power constraints, the interference thresholds at the primary system, and the quality of service (QoS) provisioning for the CR system. Using the fractional programming and the Lagrangian dual decomposition method, the optimization problem which is a mixed‐integer nonlinear program (MINLP) can be efficiently solved to obtain an asymptotically optimal solution. We also propose a suboptimal scheme to reduce the computational complexity at the expense of a little performance loss. Simulation results demonstrate the performance of proposed schemes and the effect of the constraints values.
Synergistic interaction between 4‐allyl‐1‐hydroxy‐2‐methoxybenzene (eugenol) and diclofenac: An isobolograpic analysis in Wistar rats
Authors: González‐Lugo Olga Edith , Pozos‐Guillén Amaury , Ponce‐Peña Patricia , Lares‐Asseff Ismael , Escobar‐García Diana María , Campos‐Cantón Isaac , Vértiz‐Hernández Angel Antonio 
Published: August 2020

AbstractClinical and preclinical research that contributes pain palliation has suggested that drugs favor the expected effects and minimize the adverse effects. Among the most widely used strategies is the combination of analgesic drugs among those in the same group, with those in another group of analgesics or with co‐adjuvants (nonanalgesic drugs or elements of traditional medicine). This work aims to evaluate the interaction between eugenol (EUG) and diclofenac (DFC) on nociception in the presence of a noxious stimulus through the formalin test and isobolographic analysis. The results indicate that EUG, DFC, or the combination of both produce an antinociceptive effect in rodents (p ≤ 0.05). Local co‐administration of EUG and DFC gave a theoretical effective dose (Zadd) 2,936.27 ± 155.33 μg/kg (p ≤ 0.05) significantly higher as compared to the effective experimental doses (Zmix) of 866.89 ± 0.02 μg/kg in phase 1 and 292.88 ± 0.05 μg/kg in phase 2, with an interaction index of 0.29 and 0.09, respectively. These data allow concluding that the interaction derived from the joint administration of EUG and DFC, in the rodent at a local level, is synergistic.
Hypercortisolism and altered glucose homeostasis in obese patients in the pre‐bariatric surgery assessment
Authors: Muraca Emanuele , Ciardullo Stefano , Perra Silvia , Zerbini Francesca , Oltolini Alice , Cannistraci Rosa , Bianconi Eleonora , Villa Matteo , Pizzi Mattia , Pizzi Pietro , Manzoni Giuseppina , Lattuada Guido , Perseghin Gianluca 
Published: August 2020

AbstractAimsHypothalamus‐pituitary‐adrenal (HPA) axis hyperactivity was suggested to be associated with the metabolic syndrome (MS), obesity and diabetes. The aim of this study was to test whether hypercortisolism was associated with altered glucose homeostasis and insulin resistance, hypertension and dyslipidemia in a homogeneous population of obese patients.Materials/MethodsIn retrospective analysis of a set of data about obese patients attending the outpatient service of a single obesity centre between January 2013 and January 2020, 884 patients with BMI >30 kg/m2were segregated in two subgroups: patients with urinary free cortisol (UFC) higher than normal (UFC+; n = 129) or within the normal range (UFC−; n = 755).ResultsThe overall prevalence of UFC+ was 14.6% and double test positivity (morning cortisol >1.8 mcg/dL following overnight dexamethasone suppression test, ODST) was detected in 1.0% of patients. Prediabetes (OR 1.74; 95%CI 1.13‐2.69;p= 0.012) and diabetes (OR 2.03; 95%CI 1.21‐3.42;p= 0.008) were associated with higher risk of UFC+ when analysis was adjusted for confounding variables. Conversely, hypertension and dyslipidemia were not related to UFC+. Within the individuals with normal FPG and HbA1c, those with higher estimated insulin resistance (HOMA2‐IR) maintained a higher risk of UFC+ (OR 2.84, 95%CI 1.06‐7.63;p= 0.039) and this relationship was weakened only when the body fat percentage was included into the model.ConclusionsIn obese patients, hypercortisolism was more frequent across the entire spectrum of altered glucose homeostasis including the very early stages; this relation could not be detected for the other criteria of the MS, as waist, hypertension and atherogenic dyslipidemia.
Effects of climate change on the life stages of stream‐dwelling brown trout (Salmo trutta Linnaeus, 1758) at the rear edge of their native distribution range
Authors: Santiago José M. , Alonso Carlos , García de Jalón Diego , Solana‐Gutiérrez Joaquín , Muñoz‐Mas Rafael 
Published: August 2020

AbstractStreamflow and temperature regimes are key components of the physical habitats of instream biological communities. Iberian brown trout (Salmo trutta) populations exist in a climatic border where water scarcity and increasing water temperatures during summer could compromise their viability throughout the 21st century. We predicted climate change‐induced modifications in the thermal and hydraulic habitats of both the intragravel (eggs and larvae) and free‐swimming (fry, juveniles and adults) stages of brown trout in two mountain streams in central Spain. Spatial–temporal simulations of thermal and hydraulic habitats under two climate change emission scenarios—representative concentration pathway (RCP) 4.5 (mild scenario) and RCP 8.5 (pessimistic)—were conducted at 1‐m altitudinal steps using daily air temperature and streamflow predictions. Increased winter temperatures will reduce embryo and larval development time by 12% (RCP 4.5) and 30% (RCP 8.5) in downstream sites by end of the 21st century, but this reduction might be insufficient to compensate for the shortening of the period with temperatures below the viability limits for survival of intragravel phase (20% and 54%, respectively). Combining streamflow and temperature data for free‐swimming stages indicated that the suitable summer habitat will be reduced by between 53% and 76% (RCP 4.5) and 70%–90% (RCP 8.5) by 2099. The predicted effects for all developmental stages are critical for determining population viability at both ends of its altitudinal distribution. However, these responses are river‐specific, as limiting factors differ among rivers.
Plant‐galling insect interactions: a data set of host plants and their gall‐inducing insects for the Cerrado
Authors: Cintra Fernanda C. F. , de Araújo Walter S. , Maia Valéria C. , Urso‐Guimarães Maria V. , Venâncio Henrique , Andrade Janete F. , Carneiro Marco A. A. , de Almeida Wanessa R. , Santos Jean C. 
Published: August 2020

AbstractRecent decades have seen increased research interest in the processes and mechanisms related to insect gall richness and host plants. The data set provided here includes 968 records of interactions between galling insects and host plants for the Cerrado biome. The data set comprises 505 species of 222 genera and 67 families of host plants. The botanical families most represented in the data set are Asteraceae, Fabaceae, Myrtaceae, Malpighiaceae, and Melastomataceae, which account for ~48.5% of all records and 52% of the total number of species. The gall‐inducing insects listed in the data set include 48 species of Cecidomyiidae and one species of Tephritidae. This data set is the first to compile inventories of plant‐galling insect communities and information about the diversity and distribution of insect galls and their host plants in the Cerrado. The data set reveals knowledge gaps and opportunities for future research on patterns of diversity and distribution, and provides a basis for generating and testing new ecological hypotheses. Please cite this data paper when using the current data in publications and let us know how the data are used in the publications. There are no copyright restrictions.
Is heart transplantation a real option in patients with Duchenne syndrome? Inferences from a case report
Authors: Piperata Antonio , Bottio Tomaso , Toscano Giuseppe , Avesani Martina , Vianello Andrea , Gerosa Gino 
Published: August 2020

AbstractDuchenne muscular dystrophy (DMD) is the most frequent and severe form of MD. It firstly affects the skeletal muscles, causing severe disability, and subsequently the myocardium. The only two options to treat end‐stage heart failure in these patients are either a left ventricular assist device (LVAD) implantation as destination therapy or a heart transplant. These hypotheses are still controversial, and data are very limited. We describe the case of an 18‐year‐old male patient, affected by DMD and in a wheelchair from the age of 11. He progressively developed dilated cardiomyopathy, and in 2016, at the age of 14 years, he underwent HeartWare LVAD implantation, as destination therapy, without post‐operative complications. He has been followed up for 47 consecutive months; and 30 months after LVAD implantation, he developed an infection of the exit site, treated by antibiotics and surgical toilette. Following this event, on the basis of patient's good general conditions and willingness, we started to consider heart transplant as an option. Before the patient was listed, he underwent accurate workup, and we found higher values of forced vital capacity, forced expiratory volume in 1 s, and peak expiratory flow, compared with the predicted values of same‐age DMD patients. The patient have neither scoliosis nor need for non‐invasive mechanical ventilation, and finally, he was always treated with steroids with stable thoraco‐abdominal function over the years. According to these considerations, the patient was listed for heart transplant. In 12 February 2020, at the age of 18 years, the patient underwent heart transplant with no post‐operative complications. Cardiac transplantation is not considered a valid option for DMD patients, because of the shortage of donor availability and the systemic nature of DMD disease. Considering that this patient had already experienced an LVAD‐related complication and he had better general condition than his DMD peers, we listed him for a heart transplant. We described the case of a DMD patient who underwent successful heart transplantation after 47 months of HeartWare LVAD assistance. Three months' follow‐up is uneventful.
Optimization of UAVs‐SfM data collection in aeolian landform morphodynamics: a case study from the Gonghe Basin, China
Authors: Luo Wanyin , Shao Mei , Che Xuehua , Hesp Patrick A. , Bryant Robert G. , Yan Changzhen , Xing Zanpin 
Published: August 2020

AbstractUAVs‐SfM (unmanned aerial vehicles‐structure‐from‐motion) systems can generate high‐resolution three‐dimensional (3D) topographic models of aeolian landforms. To explore the optimization of UAVs‐SfM for use in aeolian landform morphodynamics, this study tested flight parameters for two contrasting aeolian landform areas (free dune and blowout) to assess the 3D reconstruction accuracy of the UAV survey compared with field point measurements using differential RTK‐GPS (real‐time kinematic‐global positioning system). The results reveal the optimum UAVs‐SfM flight set‐up at the free‐dune site was: flying height = 74 m, camera tilt angle = −90°, photograph overlap ratio = 85%/70% (heading/sideways). The horizontal/vertical location error was around 0.028–0.055 m and 0.053–0.069 m, respectively, and a point cloud density of 463/m3 was found to generate a clear texture using these flying parameters. For the < 20 m deep blowout the optimum set‐up with highest accuracy and the lowest cliff texture distortion was: flying height = 74 m combined camera tilt angle = −90° and −60°, photograph overlap ratio = 85%/70% (heading/sideways), and an evenly distributed GCPs (ground control points) density of 42/km2 using these flying parameters. When the depth of the blowouts exceeded 40 m, the optimum flight/survey parameters changed slightly to account for more challenging cliff texture generation: flying height = 80 m (with −90° and −60°combined camera tilt angle), GCPs density = 63/km2 to generate horizontal and vertical location error of 0.024 m and 0.050 m, respectively, and point cloud density of 2597.11/m3. The main external factors that affect the successful 3D reconstruction of aeolian landforms using UAVs‐SfM are the weather conditions, manipulation errors, and instrument system errors. The UAVs‐SfM topographic monitoring results demonstrate that UAVs provide a viable and robust means for aeolian landform morphodynamics monitoring. Importantly, the rapid and high precision 3D reconstruction processes were significantly advanced using the optimal flight parameters reported here. © 2020 John Wiley & Sons, Ltd.
Attacks detection and decision framework based on generative adversarial network approach: Case of vehicular edge computing network
Authors: Sedjelmaci Hichem 
Published: August 2020

AbstractThe application of artificial intelligence in cyber security context has attracted enormous attention, specifically from industrial sector and this is due to the strength of machine learning algorithms to detect the unknown misbehaviors executed by cyber‐attacks. The generative adversarial network (GAN) based on a generator and discriminator systems could be used as defense and attack frameworks to protect and attack respectively its target. In this research article, we propose new attacks detection and decision framework based on GAN algorithm to detect accurately the smart and dangerous attacks. The proposed security framework relies on the collaboration between the generator and discriminator systems to determine the relevant attacks' features and hence detect the cyber‐attacks with a high accuracy. We present a case study of the proposed detection and decision framework in a context of a vehicular edge computing network and highlight the experimental results by analyzing specifically, the accuracy defense rate and network latency. In the experimentation results, a maximum number of network attacks are detected with a high accuracy, while low network latency is generated. This result is achieved specifically when the number of iterations is high, that is, the accuracy defense rate is close to 90% and the network latency is close to 1000 milliseconds.
Predicting intraday jumps in stock prices using liquidity measures and technical indicators
Authors: Kong Ao , Zhu Hongliang , Azencott Robert 
Published: August 2020

AbstractPredicting intraday stock jumps is a significant but challenging problem in finance. Due to the instantaneity and imperceptibility characteristics of intraday stock jumps, relevant studies on their predictability remain limited. This paper proposes a data‐driven approach to predict intraday stock jumps using the information embedded in liquidity measures and technical indicators. Specifically, a trading day is divided into a series of 5‐min intervals, and at the end of each interval, the candidate attributes defined by liquidity measures and technical indicators are input into machine learning algorithms to predict the arrival of a stock jump as well as its direction in the following 5‐min interval. An empirical study is conducted using level‐2 high‐frequency data of 1271 stocks on the Shenzhen Stock Exchange of China to validate our approach. The results provide initial evidence of the predictability of jump arrivals and jump directions using level‐2 stock data as well as the effectiveness of using a combination of liquidity measures and technical indicators for such prediction. We also reveal the superiority of using random forest compared with other machine learning algorithms in building prediction models. Importantly, our study provides a portable data‐driven approach that exploits liquidity and technical information from level‐2 stock data to predict intraday price jumps of individual stocks.