bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promotion of TRAIL/Apo2L‐induced apoptosis by low‐dose interferon‐β in human malignant melanoma cells
Authors: Kazaana Akira , Sano Emiko , Yoshimura Sodai , Makita Kotaro , Hara Hiroyuki , Yoshino Atsuo , Ueda Takuya 
Published: January 2019

AbstractInterferon β (IFN‐β) is considered a signaling molecule with important therapeutic potential in cancer since IFN‐β‐induced gene transcription mediates antiproliferation and cell death induction. Whereas, TNF‐related apoptosis inducing ligand/Apo2 ligand (TRAIL/Apo2L) has emerged as a promising anticancer agent because it induces apoptosis specifically in cancer cells. In this study, we elucidated that IFN‐β augments TRAIL‐induced apoptosis synergistically using five human malignant melanoma cells. All of these cells were induced apoptosis by TRAIL. Whereas, the response against IFN‐β was different in amelanotic cells (A375 and CRL1579) and melanotic cells (G361, SK‐MEL‐28, and MeWo). The responsibility of amelanotic cells against IFN‐β was higher than those of melanotic cells. The synergism of IFN‐β and TRAIL were correlated with the responsibilities of the cells against IFN‐β. The synergistic interaction was confirmed by a combination index based on the Chou‐Talalay method. The upregulation of apoptosis in amelanotic cells was caused by very low doses of IFN‐β (over 0.1 IU/ml). Both of p53‐mediated intrinsic pathway and Fas‐related extrinsic pathway were activated by IFN‐β alone and combination with TRAIL. Further, TRAIL death receptors (DR4 and DR5) were upregulated by a low‐dose IFN‐β (over 0.1 IU/ml) and the expression was more promoted by the combination with TRAIL. It was clarified that the upregulation of DR5 is associated with the declination of viability.
Magnetoelectric nanocomposite scaffold for high yield differentiation of mesenchymal stem cells to neural‐like cells
Authors: Esmaeili Elaheh , Soleimani Masoud , Ghiass Mohammad Adel , Hatamie Shadie , Vakilian Saeed , Zomorrod Mahsa Soufi , Sadeghzadeh Negar , Vossoughi Manouchehr , Hosseinzadeh Simzar 
Published: January 2019

AbstractWhile the differentiation factors have been widely used to differentiate mesenchymal stem cells (MSCs) into various cell types, they can cause harm at the same time. Therefore, it is beneficial to propose methods to differentiate MSCs without factors. Herein, magnetoelectric (ME) nanofibers were synthesized as the scaffold for the growth of MSCs and their differentiation into neural cells without factors. This nanocomposite takes the advantage of the synergies of the magnetostrictive ﬁller, CoFe2O
4 nanoparticles (CFO), and piezoelectric polymer, polyvinylidene difluoride (PVDF). Graphene oxide nanosheets were decorated with CFO nanoparticles for a proper dispersion in the polymer through a hydrothermal process. After that, the piezoelectric PVDF polymer, which contained the magnetic nanoparticles, underwent the electrospun process to form ME nanofibers, the ME property of which has the potential to be used in areas such as tissue engineering, biosensors, and actuators.
Morphoanatomical characterization of filamentous green algae of district Lahore based on classical and modern microscopic technique
Authors: Jaffer Mehwish , Ashraf Hammad , Shaheen Shabnum 
Published: January 2019

AbstractIntroductionFor sample collection, four sites were selected, sites where fresh water were present, that is, Ravi syphon, BRB Lahore, Shahdara, and Head Baloki. The latitude and altitude of the locations were recorded at the time of collection.ResultsA total of 21 species of algae belonging to eight genera and four families were examined in the current studies. The collected samples were mainly filamentous and they were primarily green in color as the photosynthetic pigment found to be dominated was Chlorophyll. It was observed that all the genera varied mainly on the basis of cell shape, size, number of pyramids and on the arrangement of cells. The site mainly selected was those where fresh water was mainly found and at the time of collection latitude and altitude was also recorded.ConclusionsThe classical microscopic technique (Light Microscopy) and Modern microscopic technique (Staining Electron Microscopy) of some samples were done that, played a lively part in the correct identification of species as a slight difference was found among species that were only evident when the Modern microscopic technique was done.
Evaluation of the routine use of pelvic MRI in women presenting with symptomatic uterine fibroids: When is pelvic MRI useful?
Authors: Vu Kim‐Nhien , Fast Angela M. , Shaffer Robyn K. , Rosenberg Jarrett , Dababou Susan , Marrocchio Cristina , Vasanawala Shreyas S. , Lum Deirdre A. , Chen Bertha , Hovsepian David M. , Ghanouni Pejman 
Published: January 2019

BackgroundPelvic ultrasound (US) diagnosis of uterine fibroids may overlook coexisting gynecological conditions that contribute to women's symptoms.PurposeTo determine the added value of pelvic MRI for women diagnosed with symptomatic fibroids by US, and to identify clinical factors associated with additional MRI findings.Study TypeRetrospective observational study.PopulationIn all, 367 consecutive women with fibroids diagnosed by US and referred to our multidisciplinary fibroid center between 2013–2017.Field Strength/SequenceAll patients had both pelvic US and MRI prior to their consultations. MRIs were performed at 1.5 T or 3 T and included multiplanar T2‐weighted sequences, and precontrast and postcontrast T1‐weighted imaging.AssessmentDemographics, symptoms, uterine fibroid symptom severity scores, and health‐related quality of life scores, as well as imaging findings were evaluated.Statistical TestsPatients were separated into two subgroups according to whether MRI provided additional findings to the initial US. Univariate and multivariate regression analyses were performed.ResultsPelvic MRI provided additional information in 162 patients (44%; 95% confidence interval [CI] 39–49%). The most common significant findings were adenomyosis (22%), endometriosis (17%), and partially endocavitary fibroids (15%). Women with pelvic pain, health‐related quality of life scores less than 30 out of 100, or multiple fibroids visualized on US had greater odds of additional MRI findings (odds ratio [OR] 1.68, 2.26, 1.63; P = 0.02, 0.004, 0.03, respectively), while nulliparous women had reduced odds (OR 0.55, P = 0.01). Patients with additional MRI findings were treated less often with uterine fibroid embolization (14% vs. 36%, P < 0.001) or MR‐guided focused US (1% vs. 5%, P = 0.04), and more often with medical management (17% vs. 8%, P = 0.01).Data ConclusionPelvic MRI revealed additional findings in more than 40% of women presenting with symptoms initially ascribed to fibroids by US. Further evaluation using MRI is particularly useful for parous women with pelvic pain, poor quality of life scores, and/or multiple fibroids.Level of Evidence: 4Technical Efficacy: Stage 3J. Magn. Reson. Imaging 2019.
Prospective comparative diagnostic accuracy evaluation of dynamic contrast‐enhanced (DCE) vs. dynamic susceptibility contrast (DSC) MR perfusion in differentiating tumor recurrence from radiation necrosis in treated high‐grade gliomas
Authors: Zakhari Nader , Taccone Michael S. , Torres Carlos H. , Chakraborty Santanu , Sinclair John , Woulfe John , Jansen Gerard H. , Cron Greg O. , Thornhill Rebecca E. , McInnes Matthew D.F. , Nguyen Thanh B. 
Published: January 2019

BackgroundThe appearance of a new enhancing lesion after surgery and chemoradiation for high‐grade glioma (HGG) presents a common diagnostic dilemma. Histopathological analysis remains the reference standard in this situation.PurposeTo prospectively compare the diagnostic accuracy of dynamic contrast‐enhanced (DCE) vs. dynamic susceptibility contrast (DSC) in differentiating tumor recurrence (TR) from radiation necrosis (RN).Study TypeProspective diagnostic accuracy study.PopulationIn all, 98 consecutive treated HGG patients with new enhancing lesion. We excluded 32 patients due to inadequate follow‐up or technical limitation.Field Strength/Sequence3 T DCE and DSC MR.AssessmentHistogram and hot‐spot analysis of cerebral blood volume (CBV), corrected CBV, Ktrans, area under the curve (AUC), and plasma volume (Vp). The reference standard of TR and/or RN was determined by histopathology in 43 surgically resected lesions or by clinical/imaging follow‐up in the rest.Statistical TestsMann–Whitney U‐tests, receiver operating characteristic (ROC) curve, and logistic regression analysis.ResultsA total of 68 lesions were included. There were 37 TR, 28 RN, and three lesions with equal proportions of TR and RN. TR had significantly higher CBV, corrected CBV, CBV ratio, corrected CBV ratio, AUC ratio, and Vp ratio (P < 0.05) than RN on hot‐spot analysis. CBV had the highest diagnostic accuracy (AUROC 0.71). On histogram analysis, TR had higher CBV and corrected CBV maximal value compared with RN (P = 0.006, AUROC = 0.70). Only CBV on hot‐spot analysis remained significant after correction for multiple comparison, with no significant improvement in diagnostic accuracy when using a combination of parameters (AUROC 0.71 vs. 0.76, P = 0.24).Data ConclusionDSC‐derived CBV is the most accurate perfusion parameter in differentiating TR and RN. DSC and DCE‐derived parameters reflecting the blood volume in an enhancing lesion are more accurate than the DCE‐derived parameter Ktrans. Clinical practice may be best guided by blood volume measurements, rather than permeability assessment for differentiation of TR from RN.Level of Evidence: 1Technical Efficacy Stage: 4J. Magn. Reson. Imaging 2019;50:573–582.
Milk Fat Globule Membrane Ameliorates Necrotizing Enterocolitis in Neonatal Rats and Suppresses Lipopolysaccharide‐Induced Inflammatory Response in IEC‐6 Enterocytes
Authors: Zhang Dandan , Wen Jie , Zhou Jiefei , Cai Wei , Qian Linxi 
Published: January 2019

AbstractBackgroundEvidence has provided support for the beneficial effects of milk fat globule membrane (MFGM) on inflammation in the intestinal tract. The objective of this study was to investigate the effects of MFGM on a rat model of necrotizing enterocolitis (NEC) and its potential mechanism of action.MethodsSixty‐two newborn Sprague Dawley rats were randomly divided into 4 experimental groups: Breast‐fed normal, formula fed (FF), FF + 6 g/L MFGM, and FF + 12 g/L MFGM. The FF rats and the FF rats supplemented with MFGM were exposed to asphyxia/cold stress to induce NEC. Body weight, histological score, survival time, oxidative stress injury, enterocyte proliferation/apoptosis, and inflammatory response were assessed. Meanwhile, lipopolysaccharide (LPS)‐stimulated IEC‐6 enterocytes were used as a model to test the anti‐inflammatory effects of MFGM.ResultsSupplementation with 12 g/L MFGM alleviated body weight loss, reduced the incidence of NEC, increased the survival rate, and attenuated the severity of bowel damage in the NEC rat model. Furthermore, 12 g/L MFGM administration inhibited the protein expression of toll‐like receptor 4 (TLR4) in the animal model. In IEC‐6 enterocytes, the upregulation of TLR4, myeloid differentiation primary response gene 88 (MyD88), phosphorylated nuclear factor‐κB (NF‐κB) p65 subunit, and the nuclear translocation of NF‐κBp65 induced by LPS was partially inhibited by MFGM pretreatment.ConclusionOur findings suggested that MFGM has beneficial effects on neonatal rats with NEC by suppressing inflammation via the TLR4/MyD88/NF‐κB pathway.
Reduction in meso‐mammal nest predators improves northern bobwhite demographics
Authors: Palmer William E. , Carroll John P. , Sisson D. Clay , Wellendorf Shane D. , Terhune Theron M. , Ellis‐Felege Susan N. , Martin James A. 
Published: January 2019

ABSTRACTNest predation is the major cause of nest failure in northern bobwhites (Colinus virginianus; i.e., bobwhites). Control of mid‐sized mammalian nest predators (i.e., meso‐mammals) is often conducted to increase reproductive success on lands managed for bobwhites. Nest predation by meso‐mammals, however, is only one part of a complex predator‐prey trophic system. There is limited understanding of the effect of nest predators on bobwhite demographics, which creates uncertainty about the efficacy of nest predator control. We quantified demographic effects on bobwhite populations from reducing meso‐mammals on 4 study areas managed for bobwhites in northern Florida and southwestern Georgia, USA, during 2000–2006. After 1 year of pre‐treatment monitoring (2000), we reduced meso‐mammal nest predator abundance through trapping over 3‐year intervals, March to September, on 2 sites using a crossover design. Efficacy of trapping was demonstrated by a 43% reduction in scent station visitation rates of meso‐mammals. Meso‐mammal control increased all demographic metrics including a 30% increase in nesting propensity, a 10% increase in nest success, and a 43% increase in chicks produced. Despite significant regional variation in breeding season survival rates, this equated to an average 18% increase in autumn density on trapped sites. Decision‐makers should weigh the tradeoffs between bobwhite population goals and costs of meso‐mammal control, where those that value maximum bobwhite density and reduced annual variation should likely implement control of meso‐mammals. © 2019 The Wildlife Society.
Comparison between topical recombinant human epidermal growth factor and Aloe vera gel in combination with ablative fractional carbon dioxide laser as treatment for striae alba: A randomized double‐blind trial
Authors: Disphanurat Wareeporn , Kaewkes Arisa , Suthiwartnarueput Worapop 
Published: January 2019

ObjectivesStriae distensae are linear atrophic dermal scars. Despite several currently available therapeutic modalities, no consistently effective therapies have been established. This study aimed to evaluate and compare the efficacy of topical recombinant human epidermal growth factor (rhEGF) and ablative fractional carbon dioxide (CO2) laser (AFXL) versus ablative fractional CO2 laser and topical Aloe vera gel in treating striae alba.MethodsA total of 24 participants with striae alba were enrolled. Patients’ striae were divided into the left and right sides. Participants were treated with fractional CO2 laser on both sides for three sessions at 4‐week intervals. Immediately after the laser treatment, each side of the striae was randomly assigned to either rhEGF or Aloe vera gel treatment. Patients were required to apply the medication twice daily up to 1 month after the last laser treatment session. Texture, average melanin, and melanin variation were assessed at pretreatment, 1 month after the first, second, and third treatments, and 6 months after the last treatment. Participants were asked to complete a self‐administered questionnaire. Nine participants underwent skin biopsies of the nontreated and treated striae, which were obtained from each treated side.ResultsBoth sides of the treatment area showed significant improvement in texture starting from 1‐month follow‐up, which sustained up to 6 months after the final treatment, albeit without statistically significant difference between the rhEGF‐ and Aloe vera‐treated sides (P < 0.001, 0.003, and 0.002 for the AFXL–rhEGF‐treated side and P = 0.024, 0.001, and 0.001 for the AFXL–Aloe‐treated side at 1 month after the first treatment, 1 month after the last treatment, and 6 months after the last treatment, respectively). Participants expressed satisfaction with the AFXL–rhEGF‐treated side, which showed significantly greater marked improvement (at 50%) than the AFXL–Aloe‐treated side at 6 months after the final treatment (P = 0.034). Post‐inflammatory hyperpigmentation (PIH) occurred in 95.8% of participants, which decreased after 6 months compared with baseline. Both treatments improved melanin variation at 6 months after the final treatment, although without significant difference from pretreatment between both groups. Skin biopsy revealed a statistically significant increase in epidermal thickness and decrease in elastic fragmentation in both groups.ConclusionAFXL–rhEGF and AFXL–Aloe significantly improved the striae surface texture. PIH was the most common side effect, which improved at 6 months. Lasers Surg. Med. © 2019 Wiley Periodicals, Inc.
Using meta‐ethnography to develop a conceptual model of peer‐assisted learning of nursing students in clinical practice
Authors: Carey Matthew C. , Kent Bridie , Latour Jos M. 
Published: January 2019

AbstractAimThe study presents the findings of a meta‐ethnographic study, developing a conceptual model for peer‐assisted learning for undergraduate nurses in clinical practice.DesignQualitative meta‐ethnography.MethodsMeta‐ethnography was used to synthesize the findings of two ethnographic studies and a qualitative review related to the influence of peer‐assisted learning on student nurses in clinical practice.ResultsFour key themes were identified underpinned by six sub‐themes: (a) “Social” whereby “connecting with peers” is an important part in peer‐assisted learning. (b) “Enabling” peers through “collaborative support for advice and guidance” and “reducing anxiety/increasing confidence.” (c) “Organizational” aspects in peer‐assisted learning in “establishing structure and navigating practice” and “establishing the role of the PAL.” (d) “Learning” as a product of developing knowledge and skills through “sharing of practice experience” and “enhancing knowledge of care.” The conceptual model presents a structure outlining elements required for developing effective knowledge and skills through peer‐assisted learning.
Intolerance of uncertainty, social support, and loneliness in relation to anxiety and depressive symptoms among women diagnosed with ovarian cancer
Authors: Hill Erin M. , Hamm Andriana 
Published: January 2019

AbstractObjectiveIntolerance of uncertainty (IU) is a trait variable that captures an individual's lack of tolerance for unknown outcomes and events. Positive correlations between IU and mental health symptoms have been observed in various populations, while social variables (social support and decreased loneliness) seem to serve as protective factors against psychological distress among individuals with cancer. The present study examined the moderation effect of social support and loneliness in the relationship between IU and mental health symptoms among women diagnosed with ovarian cancer.MethodsThis study was a cross‐sectional design involving 131 women diagnosed with ovarian cancer recruited through social media and other online sources. Participants completed questionnaires that assessed their IU (prospective and inhibitory), anxiety symptoms, depressive symptoms, social support, and loneliness. Moderated regression analyses were applied to test the hypothesis that low social support and high loneliness would exacerbate the relationship between IU and symptoms of anxiety and depression.ResultsThe hypothesized moderation effects (social support × IU, loneliness × IU) were not supported in the anxiety and depressive symptoms models. Post hoc linear regression analyses indicated that IU and loneliness were predictive of depressive and anxiety symptoms. Loneliness was the strongest predictor in both the anxiety and depressive symptoms models, followed by IU.ConclusionsThe findings indicate that loneliness and IU—particularly inhibitory IU—are important considerations in understanding mental health symptoms among women diagnosed with ovarian cancer. Addressing both loneliness and IU may be an important avenue in clinical settings.
Feature selection and fault‐severity classification–based machine health assessment methodology for point machine sliding‐chair degradation
Authors: Atamuradov Vepa , Medjaher Kamal , Camci Fatih , Zerhouni Noureddine , Dersin Pierre , Lamoureux Benjamin 
Published: January 2019

AbstractIn this paper, we propose an offline and online machine health assessment (MHA) methodology composed of feature extraction and selection, segmentation‐based fault severity evaluation, and classification steps. In the offline phase, the best representative feature of degradation is selected by a new filter‐based feature selection approach. The selected feature is further segmented by utilizing the bottom‐up time series segmentation to discriminate machine health states, ie, degradation levels. Then, the health state fault severity is extracted by a proposed segment evaluation approach based on within segment rate‐of‐change (RoC) and coefficient of variation (CV) statistics. To train supervised classifiers, a priori knowledge about the availability of the labeled data set is needed. To overcome this limitation, the health state fault‐severity information is used to label (eg, healthy, minor, medium, and severe) unlabeled raw condition monitoring (CM) data. In the online phase, the fault‐severity classification is carried out by kernel‐based support vector machine (SVM) classifier. Next to SVM, the k‐nearest neighbor (KNN) is also used in comparative analysis on the fault severity classification problem. Supervised classifiers are trained in the offline phase and tested in the online phase. Unlike to traditional supervised approaches, this proposed method does not require any a priori knowledge about the availability of the labeled data set. The proposed methodology is validated on infield point machine sliding‐chair degradation data to illustrate its effectiveness and applicability. The results show that the time series segmentation‐based failure severity detection and SVM‐based classification are promising.