bluuebunny/crossref_metadata_2025_split huggingface dataset:
MicroRNA‐22 Promoted Osteogenic Differentiation of Human Periodontal Ligament Stem Cells by Targeting HDAC6
Authors: Yan Guang‐Qi , Wang Xue , Yang Fan , Yang Min‐Liang , Zhang Gui‐Rong , Wang Guo‐Kun , Zhou Qing 
Published: February 2017

ABSTRACTStem cells transplantation is a promising therapy strategy for accelerating periodontal regeneration and reconstruction. Genetic modification could induce stem cells directional differentiation to facilitate recovery of physiological functions. In this study, we investigated the role and mechanism of miR‐22 on human periodontal ligament stem cells (PDLSCs). First, a cellular model of osteogenic differentiation was first established by osteogenic inductive cocktail. Real‐time PCR determined that expression of miR‐22 was significantly increased during PDLSCs osteogenic differentiation. Alizirin red staining showed that overexpression of miR‐22 in PDLSCs induced better mineralized nodule formation. Real‐time PCR and Western blot further confirmed up‐regulation of osteogenic genes Runx2 and OPN in miR‐22‐overexpressing PDLSCs. Conversely, inhibition of miR‐22 delayed the process of PDLSCs osteogenic differentiation. Furthermore, Histone deacetylase 6 (HDAC6) was identified as a target gene of miR‐22. Overexpression of miR‐22 not only reduced the luciferase activity of the reporter containing the 3′ untranslated region of HDAC6 mRNA, but also suppressed the endogenous protein expression of HDAC6. Rescue experiment showed that the promotion role of miR‐22 in osteogenic differentiation could be relieved by overexpression of HDAC6. Meanwhile, overexpression of HDAC6 alone could also delay the osteogenic differentiation process. The results demonstrated that miR‐22 promoted PDLSCs osteogenic differentiation by inhibiting HDAC6 expression, suggesting that miR‐22 might be developed as a target of genetic modified stem cells therapy for periodontal diseases. J. Cell. Biochem. 118: 1653–1658, 2017. © 2017 Wiley Periodicals, Inc.
Mentoring program practices as predictors of match longevity
Authors: Kupersmidt Janis B. , Stump Kathryn N. , Stelter Rebecca L. , Rhodes Jean E. 
Published: February 2017

AbstractMentoring has been shown to have a small to moderate effect on youth outcomes; however, implementation of research‐based practices improves program efficacy. Benchmark program practices and Standards in the Elements of Effective Practice for Mentoring (MENTOR, 2009) were assessed in the current study as predictors of match longevity. Secondary data analyses were conducted on a national agency information management database from 45 Big Brothers Big Sisters agencies and 29,708 matches from across the U.S. Agency leaders completed a web‐based survey describing their policies, procedures, and practices. Results revealed that the only individual Standard that was predictive of match length was the Training Standard. In addition, the sum total of both Benchmark program practices and Standards were associated with match length and long‐term relationships; however, neither predicted premature match closure. Results are discussed in terms of the importance of implementation of evidence‐based practices, particularly mentor training, for achieving effective mentoring outcomes.
A Novel Dynamic Expression of vasa in Male Germ Cells during Spermatogenesis in the Chinese Soft‐Shell Turtle (Pelidiscus sinensis)
Authors: Li Wei , Zhang Piaoyi , Wu Xuling , Zhu Xinping , Xu Hongyan 
Published: February 2017

ABSTRACTvasa gene encodes a highly conserved DEAD‐box RNA helicase, required for germ cell development across animal kingdom. Vasa mutations cause male infertility in mammals. It has been widely used as a biomarker for studying animal fertility or manipulating germ cells in organisms. However, in reptilians, the functions of vasa gene involved in germ cell differentiation are largely unclear; this hampers the development of biological techniques and the improvement of the productivity in these species. Here a vasa cDNA was isolated in Chinese soft‐shell turtle and it predicts a protein of 691 amino acid residues, which is 72%, 69%, 58%, 59%, and 54–56% identical to its homolog from mouse, platypus, frog, chicken, and fish, respectively, and named as PsVasa. The Psvasa mRNA was detected exclusively in the gonads of both sexes by RT‐PCR. Chromogenic RNA in situ hybridization revealed that the Psvasa mRNA was restricted to germ cells in the testis: The psvasa mRNA is undetectable in resting spermatogonia, appears in proliferating spermatogonia, and becomes abundant in spermatocytes and detectable in spermatozoa. Immunofluorescence staining demonstrated that the PsVasa in the testis is also restricted to the germ cells, rich in spermatocytes and elongated spermatids but hardly detectable in spermatogonia and spermatozoa. Taken together, Psvasa is potentially a reliable germ cell marker in the Chinese soft‐shell turtle; its RNA expression could distinguish the different spermatogenic stages of germ cells. These findings shed new insights into understanding the evolutionary conservations and divergences of vasa gene's functions in male germ cell differentiation in metazoans.
Grain classifier with computer vision using adaptive neuro‐fuzzy inference system
Authors: Sabanci Kadir , Toktas Abdurrahim , Kayabasi Ahmet 
Published: February 2017

AbstractBACKGROUNDA computer vision‐based classifier using an adaptive neuro‐fuzzy inference system (ANFIS) is designed for classifying wheat grains into bread or durum. To train and test the classifier, images of 200 wheat grains (100 for bread and 100 for durum) are taken by a high‐resolution camera. Visual feature data of the grains related to dimension (#4), color (#3) and texture (#5) as inputs of the classifier are mainly acquired for each grain using image processing techniques (IPTs). In addition to these main data, nine features are reproduced from the main features to ensure a varied population. Thus four sub‐sets including categorized features of reproduced data are constituted to examine their effects on the classification. In order to simplify the classifier, the most effective visual features on the results are investigated.RESULTSThe data sets are compared with each other regarding classification accuracy. A simplified classifier having seven selected features is achieved with the best results. In the testing process, the simplified classifier computes the output with 99.46% accuracy and assorts the wheat grains with 100% accuracy.CONCLUSIONA system which classifies wheat grains with higher accuracy is designed. The proposed classifier integrated to industrial applications can automatically classify a variety of wheat grains. © 2017 Society of Chemical Industry
Influence of Japanese consumer gender and age on sensory attributes and preference (a case study on deep‐fried peanuts)
Authors: Miyagi Atsushi 
Published: February 2017

AbstractBACKGROUNDDetailed exploration of sensory perception as well as preference across gender and age for a certain food is very useful for developing a vendible food commodity related to physiological and psychological motivation for food preference. Sensory tests including color, sweetness, bitterness, fried peanut aroma, textural preference and overall liking of deep‐fried peanuts with varying frying time (2, 4, 6, 9, 12 and 15 min) at 150 °C were carried out using 417 healthy Japanese consumers. To determine the influence of gender and age on sensory evaluation, systematic statistical analysis including one‐way analysis of variance, polynomial regression analysis and multiple regression analysis was conducted using the collected data.RESULTSThe results indicated that females were more sensitive to bitterness than males. This may affect sensory preference; female subjects favored peanuts prepared with a shorter frying time more than male subjects did. With advancing age, textural preference played a more important role in overall preference. Older subjects liked deeper‐fried peanuts, which are more brittle, more than younger subjects did.CONCLUSIONIn the present study, systematic statistical analysis based on collected sensory evaluation data using deep‐fried peanuts was conducted and the tendency of sensory perception and preference across gender and age was clarified. These results may be useful for engineering optimal strategies to target specific segments to gain greater acceptance in the market. © 2017 Society of Chemical Industry
Preparation of magnetic mesoporous silica composite for the solid‐phase microextraction of diazinon and malathion before their determination by high‐performance liquid chromatography
Authors: Bazmandegan‐Shamili Alireza , Haji Shabani Ali Mohammad , Dadfarnia Shayessteh , Rohani Moghadam Masoud , Saeidi Mahboubeh 
Published: February 2017

A novel magnetic mesoporous silica material was synthesized and used as the sorbent for the magnetic solid‐phase microextraction of diazinon and malathion before their quantification by high‐performance liquid chromatography with UV detection. The sorbent was synthesized by a surfactant‐templated one‐pot sol–gel procedure using SiO2‐coated Fe3O4 as the magnetic support, cetyltrimethylammonium bromide as the template and tetraethyl orthosilicate as the silicon source. The characteristics of the prepared sorbent were investigated using Fourier transform infrared spectroscopy, scanning electron microscopy, and X‐ray diffraction. The sorbent exhibited a high maximum adsorption capacity of 19.2 and 9.4 mg/g for diazinon and malathion, respectively. The parameters affecting the microextraction were optimized by the MultiSimplex method. Under the optimized conditions, the calibration graphs were linear in the concentration ranges of 0.3–50.0 and 0.5–50 μg/L with the limits of detection of 0.09 and 0.14 μg/L for diazinon and malathion, respectively. The relative standard deviations (n = 5) at a concentration level of 10.0 μg/L of analytes were less than 2.5 and 4% for intra and interday, respectively. The developed method was successfully used for the determination of diazinon and malathion in apple, tomato, cucumber, tap water, and well water samples.
Assessing Soil Properties Controlling Interrill Erosion: An Empirical Approach under Mediterranean Conditions
Authors: Ollobarren Del Barrio Paul , Giménez Rafael , Campo‐Bescós Miguel Ángel 
Published: February 2017

AbstractSoil erodibility is a complex phenomenon that comprises a number of different soil properties. However, most current (empirical) erodibility indices are based on only a few soil properties. A feasible soil characterization of interrill erosion (IE) prediction at large scale should be based on simple, quick and inexpensive tests to perform. The objective of this work was to identify and assess those soil properties that best reflect soil vulnerability to IE. Twenty‐three agricultural soil samples located in Spain and Italy were studied. Forty‐nine different physical and chemical soil properties that presumably underpin IE were defined. Experiments were carried out in the field (in microplots using simulated rainfall) and in the lab. The most relevant variables were detected using multivariate analysis. Six key variables were finally identified: RUSLE K factor, a granulometric/organic matter content index, exchangeable sodium percentage, shear strength, penetration resistance and permeability of soil seal. The latter is proposed as a useful technique to evaluate soil susceptibility to crusting even when the crust is not present at the time of the field survey. The selected variables represented a wide range of soil properties, and they could also be successfully applied to different soils with different characteristics than those evaluated in our experiments. Copyright © 2017 John Wiley & Sons, Ltd.
Diversity and community composition of particle‐associated and free‐living bacteria in mesopelagic and bathypelagic Southern Ocean water masses: Evidence of dispersal limitation in the Bransfield Strait
Authors: Milici Mathias , Vital Marius , Tomasch Jürgen , Badewien Thomas H. , Giebel Helge‐A. , Plumeier Iris , Wang Hui , Pieper Dietmar H. , Wagner‐Döbler Irene , Simon Meinhard 
Published: February 2017

AbstractThe Southern Ocean constitutes about 10% of the global oceans' volume and is characterized by high primary production. Particulate organic matter (POM) is exported from the photic zone to the deep ocean and sustains life of particle associated (PA) and free‐living (FL) bacterial communities in the dark realm. Little is known about the composition and diversity of PA and FL bacterial communities below the photic zone and how they differ among various regions of the Southern Ocean. Therefore, we investigated the composition of small (3–8 μm) and large (> 8 μm) PA and FL (0.2–3 μm) bacterial communities between 500 m and 3600 m in the Bransfield Strait, Drake Passage, and the south Atlantic Ocean featuring also Southern Ocean water masses. PA bacterial communities had a higher OTU richness and evenness than FL ones. Taxonomic analysis revealed a different community composition between FL and PA bacteria. A large number of OTUs belonging to diverse phyla (Bacteroidetes, Planctomycetes, Betaproteobacteria, Deltaproteobacteria, and Verrucomicrobia) were significantly enriched on particles; in contrast very few bacterial lineages were FL specialists. Life‐style (FL vs. PA) and region (Bransfield basin vs. other regions) strongly influenced bacterial communities. Depth explained only marginal fraction of the total variation (∼ 12%), suggesting that selective processes driven by depth have a smaller effect in the Southern Ocean when compared to life‐style (25%) and region (31%). Overall these data indicate a strong influence of isolated water masses such as the basin of the Bransfield Strait on the composition of bacterial communities in the dark ocean.
Isolation and molecular characterization of dissolved organic phosphorus using electrodialysis‐reverse osmosis and solution 31P‐NMR
Authors: Bell Douglas W. , Pellechia Perry , Chambers Luke R. , Longo Amelia F. , McCabe Kelly M. , Ingall Ellery D. , Benitez‐Nelson Claudia R. 
Published: February 2017

AbstractThe composition of dissolved organic phosphorus (DOP), which directly impacts its biological and chemical reactivity, remains poorly constrained due to methodological and operational challenges. A series of compound‐specific isolation experiments and bulk estuarine seawater isolations were conducted to assess the ability of coupled electrodialysis (ED) and reverse osmosis (RO) to isolate DOP from seawater for molecular characterization using solution 31P‐NMR analysis. These isolations were carried out using a recently developed small‐volume (24 L) ED/RO system. Compound‐specific isolation experiments (n = 7) averaged 64.1% ± 9.2% for final DOP recovery, while recoveries for estuarine seawater (n = 7) were on average 83.8% ± 10.7%. Nearly complete mass balance of DOP was observed for the compound‐specific isolations (88.1% ± 11.2%) with ED responsible for the majority of DOP loss (16% ± 5%). Isolation recovery was impacted by compound molecular weight rather than charge‐to‐size ratio. Isolation bias between bulk dissolved organic carbon and DOP was negligible. Solution 31P‐NMR confirmed that ED/RO isolation does not impact molecular integrity or DOP composition. In addition, solution 31P‐NMR accurately estimated several components (phosphonomethyl‐glycine, D‐glucose‐6‐phosphate, L‐α‐phosphatidylcholine) of an artificial complex DOP matrix. However, we suggest further refinements for ED/RO operation and significant caveats remain for 31P‐NMR sample preparation and the interpretation of 31P‐NMR spectra. Hydrolysis from NaOH dissolution was found to impact the ability to accurately resolve diester composition (ca. 40% underestimation) and discrimination between terminal and central phosphoanhydride atoms. Nonetheless, our results describe a viable option for the isolation and molecular characterization of marine DOP.
Improving the estimation of Lake Kinneret's heat balance and surface fluxes using the Kalman Filter algorithm
Authors: Nussboim Shulamit , Rimmer Alon , Lechinsky Yuri , Gutman Per‐Olof , Broday David 
Published: February 2017

AbstractHigh frequency (10 min) meteorological measurements are usually the basis for surface fluxes calculations (net radiation, sensible and latent heat) over a lake surface. Data from simultaneous high frequency monitoring of the lake‐water temperature profile can be used as additional information for calculating these fluxes more accurately, if the large random fluctuations of such data could be overcome. This challenge can be achieved using an algorithm that filters out the natural noise of both the surface fluxes calculation (“model”) and the monitoring data (“measurement”), such as the Kalman Filter (KF). The KF uses statistics of the uncertainty in the dynamics of the heat balance model and the measurements, and improves the calculated heat storage estimate. The KF algorithm was applied for studying the energy balance at the surface of Lake Kinneret, Israel. We tested its operation using different algorithms, in light of seasonal variations associated with meteorological and lake temperature conditions. Typically, during the spring and summer the uncertainty of the heat storage data result in low Kalman Gain, K, whereas during calm lake conditions, in the autumn, the gain was high. Using only data already measured in “the past” and the current measurement, the KF is more suitable for cases where information regarding surface fluxes is required online than other filters (such as a moving average), which need data from “the future.”
The Effectiveness of Fear Appeals Featuring Fines versus Social Disapproval in Preventing Shoplifting Among Adolescents
Authors: Vermeir Iris , De Bock Tine , Van Kenhove Patrick 
Published: February 2017

ABSTRACTThe present study investigates the effectiveness of fear appeals, including type of punishment (social disapproval vs. fines), probability of getting caught when shoplifting, and severity of the punishment, in preventing shoplifting among adolescents. Results show that when the chance of getting caught is low, social punishment messages should stress severe levels of social disapproval. When social disapproval messages imply a high probability of apprehension, the severity of social rejection does not affect shoplifting intentions. Finally, messages focusing on fines should depict large instead of small fines, irrespective of the communicated probability of getting caught.
Antecedents of Retweeting in a (Political) Marketing Context
Authors: Walker Lorna , Baines Paul R. , Dimitriu Radu , Macdonald Emma K. 
Published: February 2017

ABSTRACTWord of mouth disseminates across Twitter by means of retweeting; however, the antecedents of retweeting have not received much attention. We used the chi‐square automatic interaction detection (CHAID) decision tree predictive method (Kass, ) with readily available Twitter data, and manually coded sentiment and content data, to identify why some tweets are more likely to be retweeted than others in a (political) marketing context. The analysis includes four CHAID models: (1) using message structure variables only, (2) source variables only, (3) message content and sentiment variables only, and (4) a combined model using source, message structure, message content, and sentiment variables. The aggregated predictive model correctly classified retweeting behavior with a 76.7% success rate. Retweeting tends to occur when the originator has a high number of Twitter followers and the sentiment of the tweet is negative, contradicting previous research (East, Hammond, & Wright,
; Wu, ) but concurring with others (Hennig‐Thurau, Wiertz, & Feldhaus, ). Additionally, particular types of tweet content are associated with high levels of retweeting, in particular those tweets including fear appeals or expressing support for others, while others are associated with very low levels of retweeting, such as those mentioning the sender's personal life. Managerial implications and research directions are presented. We make a methodological contribution by illustrating how CHAID predictive modeling can be used for Twitter data analysis and a theoretical contribution by providing insights into why retweeting occurs in a (political) marketing context.
A pilot trial of square biphasic pulse deep brain stimulation for dystonia: The BIP dystonia study
Authors: Almeida Leonardo , Martinez‐Ramirez Daniel , Ahmed Bilal , Deeb Wissam , Jesus Sol De , Skinner Jared , Terza Matthew J. , Akbar Umer , Raike Robert S. , Hass Chris J. , Okun Michael S. 
Published: February 2017

ABSTRACTBackground: Dystonia often has inconsistent benefits and requires more energy‐demanding DBS settings. Studies suggest that squared biphasic pulses could provide significant clinical benefit; however, dystonia patients have not been explored.Objectives: To assess safety and tolerability of square biphasic DBS in dystonia patients.Methods: This study included primary generalized or cervical dystonia patients with bilateral GPi DBS. Square biphasic pulses were implemented and patients were assessed at baseline, immediately postwashout, post–30‐minute washout, 1 hour post‐ and 2 hours postinitiation of investigational settings.Results: Ten participants completed the study. There were no patient‐reported or clinician‐observed side effects. There was improvement across time on the Toronto Western Spasmodic Torticollis Rating Scale (χ2 = 10.7; P = 0.031). Similar improvement was detected in objective gait measurements.Conclusions: Square biphasic stimulation appears safe and feasible in dystonia patients with GPi DBS. Further studies are needed to evaluate possible effectiveness particularly in cervical and gait features. © 2016 International Parkinson and Movement Disorder Society
Direct arterial injection of hyperpolarized 13C‐labeled substrates into rat tumors for rapid MR detection of metabolism with minimal substrate dilution
Authors: Reynolds Steven , Metcalf Stephen , Cochrane Edward J. , Collins Rebecca C. , Jones Simon , Paley Martyn N.J. , Tozer Gillian M. 
Published: February 2017

PurposeA rat model was developed to enable direct administration of hyperpolarized 13C‐labeled molecules into a tumor‐supplying artery for magnetic resonance spectroscopy (MRS) studies of tumor metabolism.MethodsRat P22 sarcomas were implanted into the right inguinal fat pad of BDIX rats such that the developing tumors received their principle blood supply directly from the right superior epigastric artery. Hyperpolarized 13C‐molecules were either infused directly to the tumor through the epigastric artery or systemically through the contralateral femoral vein. Spectroscopic data were obtained on a 7 Tesla preclinical scanner.ResultsIntra‐arterial infusion of hyperpolarized 13C‐pyruvate increased the pyruvate tumor signal by a factor of 4.6, compared with intravenous infusion, despite an approximately 7 times smaller total dose to the rat. Hyperpolarized glucose signal was detected at near‐physiological systemic blood concentration. Pyruvate to lactate but not glucose to lactate metabolism was detected in the tumor. Hyperpolarized 13C‐labeled combretastatin A1 diphosphate, a tumor vascular disrupting agent, showed an in vivo signal in the tumor.ConclusionsThe model maximizes tumor substrate/drug delivery and minimizes T1 relaxation signal losses in addition to systemic toxicity. Therefore, it permits metabolic studies of hyperpolarized substrates with relatively short T1 and opens up the possibility for preclinical studies of hyperpolarized drug molecules. Magn Reson Med 78:2116–2126, 2017. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.