bluuebunny/crossref_metadata_2025_split huggingface dataset:
Link of ocular pseudoexfoliation syndrome and vascular system changes: results from 10-year follow-up study
Authors: Rumelaitienė Ugnė , Žaliūnienė Dalia , Špečkauskas Martynas , Tamošiūnas Abdonas , Radišauskas Ričardas , Jusevičiūtė Emilija , Vainauskas Vidas , Bernotienė Gailutė 
Published: January 2020

Abstract
Purpose
To examine the 10-year incidence of the pseudoexfoliation syndrome (PEX) in adults in a population-based follow-up study, to determine its link with vascular diseases, and to identify possible risk factors of the PEX.

Methods
The baseline examination was performed in 2006 on a random sample of 1033 participants from Kaunas city (Lithuania) population. In 2016, a follow-up study of 686 participants who returned for the examination was conducted. The respondents filled out a questionnaire, an ophthalmological examination was performed, and the presence of vascular diseases was determined by the anamnesis and electrocardiogram evaluation data. Binary univariate and multivariate logistic regression analyses were conducted with the PEX and vascular diseases as predictors, controlling for age. Odds ratios (OR) and 95% confidence intervals of OR were calculated for the risk of new PEX cases.

Results
During 10 years, the prevalence of the PEX in the study population increased from 10.3 to 34.2%. The rates of ischemic heart disease (IHD) and IHD combined with stroke were significantly higher in the PEX subjects than in the non-PEX subjects. The risk of the PEX among persons with IHD was, on the average, by 1.5-fold higher, and among those with IHD and stroke, on the average, by 1.6-fold higher as compared to persons without the aforementioned pathologies (accordingly, p = 0.014 and p = 0.010).

Conclusion
The prevalence of the PEX increased significantly with age. The risk of the PEX was significantly higher among persons with IHD and even higher among persons with IHD and stroke. In the future, a greater understanding of the cardiovascular, metabolic, and environmental components associated with the PEX may lead to more specific lifestyle-related preventive strategies to decrease the disease burden.
ADAMTS1 and HSPG2 mRNA levels in cumulus cells are related to human oocyte quality and controlled ovarian hyperstimulation outcomes
Authors: Ma Yerong , Jin Jiamin , Tong Xiaomei , Yang Weijie , Ren Peipei , Dai Yongdong , Pan Yibin , Zhang YinLi , Zhang Songying 
Published: January 2020

Abstract
Purpose
The study investigated potential correlations between the expression levels of ADAMTS1 and HSPG2 in cumulus cells (CCs) and controlled ovarian hyperstimulation (COH) outcomes.

Methods
RT-PCR was used to determine ADAMTS1 and HSPG2 mRNA levels in mice CCs at different timepoints (0, 4, 8, 12, and 16 h) after human chorionic gonadotropin (hCG) injection, and in CCs after RNAi treatment. Women with polycystic ovary syndrome (PCOS) (n = 45) and normal ovulatory controls (n = 103) undergoing IVF/ICSI were recruited. Relative ADAMTS1 and HSPG2 mRNA levels were measured by RT-PCR. Moreover, correlations of ADAMTS1 and HSPG2 levels with COH outcomes were analyzed.

Results
At different timepoints after hCG treatment, ADAMTS1 mRNA had the highest level at 12 h, whereas HSPG2 showed opposite profiles to ADAMTS1 with the lowest level at 12 h. HSPG2 expression was upregulated after ADAMTS1 RNAi treatment The PCOS group had higher HSPG2 and lower ADAMTS1 expression levels than controls. In normal ovulatory women (control group), a higher expression of ADAMTS1 and lower expression of HSPG2 were associated with more mature oocytes, transplantable embryos, and good quality embryos, whereas higher transplantable embryo rates and good quality embryo rates were obtained only with lower HSPG2 expression. ROC curves showed the co-measurement of ADAMTS1 and HSPG2 had a better predictive power than separate analyses.

Conclusion
The dynamic profiles of ADAMTS1 and HSPG2 were inversely correlated in CCs. In PCOS and normal ovulatory patients, higher ADAMTS1 and lower HSPG2 expression levels in CCs were related to better COH outcomes.
The Relationship Among the Components of Self-compassion: A Pilot Study Using a Compassionate Writing Intervention to Enhance Self-kindness, Common Humanity, and Mindfulness
Authors: Dreisoerner Aljoscha , Junker Nina Mareen , van Dick Rolf 
Published: January 2020

AbstractSelf-compassion has been theorized to have three components, each with a positive pole and a negative pole: self-kindness versus self-judgment, common humanity versus isolation, and mindfulness versus over-identification. Neff (Self Identity 2:85–101, 2003a) proposes that they mutually influence each other, however, this proposition has not been tested yet. We conducted a pilot study to see if improvements from training one component spilled over to the other two—and whether these trainings had an impact on well-being. 80 participants completed 8 weeks of self-compassionate writing exercises to enhance either self-kindness, common humanity, or mindfulness. Trait self-compassion was assessed using the six-factor model of the self-compassion scale. To address issues of alpha-error-inflation, the false discovery rate was fixed at 5%, and criticalpvalues were adjusted accordingly. Participants in the mindfulness condition reported increased total self-compassion (p = .009), which was accompanied by increased self-kindness (p = .027) and lower isolation (p = .045). Participants in the common humanity condition reported improved total self-compassion (p = .018), lower over-identification (p = .045), and higher life-satisfaction (p = .049). The training in self-kindness failed to improve self-kindness or any other factor. These findings provide initial evidence that the components of self-compassion mutually enhance each other. They also emphasize the importance of mindfulness within the conceptualization of self-compassion.
Quantitative Storytelling in the Making of a Composite Indicator
Authors: Kuc-Czarnecka Marta , Lo Piano Samuele , Saltelli Andrea 
Published: January 2020

AbstractThe reasons for and against composite indicators are briefly reviewed, as well as the available theories for their construction. After noting the strong normative dimension of these measures—which ultimately aim to ‘tell a story’, e.g. to promote the social discovery of a particular phenomenon, we inquire whether a less partisan use of a composite indicator can be proposed by allowing more latitude in the framing of its construction. We thus explore whether a composite indicator can be built to tell ‘more than one story’ and test this in practical contexts. These include measures used in convergence analysis in the field of cohesion policies and a recent case involving the World Bank’s Doing Business Index. Our experiments are built to imagine different constituencies and stakeholders who agree on the use of evidence and of statistical information while differing on the interpretation of what is relevant and vital.
Hamlyn CRM: a compact master manipulator for surgical robot remote control
Authors: Zhang Dandan , Liu Jindong , Zhang Lin , Yang Guang-Zhong 
Published: January 2020

Abstract
Purpose
Compact master manipulators have inherent advantages, since they can have practical deployment within the general surgical environments easily and bring benefits to surgical training. To assess the advantages of compact master manipulators for surgical skills training and the performance of general robot-assisted surgical tasks, Hamlyn Compact Robotic Master (Hamlyn CRM) is built up and evaluated in this paper.

Methods
A compact structure for the master manipulator is proposed. A novel sensing system is designed while stable real-time motion tracking can be realized by fusing the information from multiple sensors. User studies were conducted based on a ring transfer task and a needle passing task to explore a suitable mapping strategy for the compact master manipulator to control a surgical robot remotely. The overall usability of the Hamlyn CRM is verified based on the da Vinci Research Kit (dVRK). The master manipulators of the dVRK control console are used as the reference

Results
Motion tracking experiments verified that the proposed system can track the operators’ hand motion precisely. As for the master–slave mapping strategy, user studies proved that the combination of the position relative mapping mode and the orientation absolute mapping mode is suitable for Robot-Assisted Minimally Invasive Surgery (RAMIS), while key parameters for mapping are selected.

Conclusion
Results indicated that the Hamlyn CRM can serve as a compact master manipulator for surgical training and has potential applications for RAMIS.
Porothermoelastic response of an oil sand formation subjected to injection and micro-fracturing in horizontal wells
Authors: Lin Botao , Meng Han , Pan Jingjun , Chen Sen 
Published: January 2020

AbstractStimulation of unconsolidated formations via horizontal wells has seen its vast implementation in the recent development of heavy oil reservoir to save the time and cost of preheating the reservoir before the steam-assisted gravity drainage (SAGD) process. A mathematical approach was proposed in this research that fully couples the hydraulic, mechanical and thermal responses of unconsolidated sandstone formations and also applies failure criteria for describing either shear dilation or tensile parting mechanism that generates microcracks. The approach was implemented to predict the porothermoelastic response of a pair of SAGD wells subject to injection and subsequent micro-fracturing using hot water. It was found that the predicted bottom hole pressures (BHPs) match closely with the field observed data. An elliptical dilation zone developed around the dual wells with relatively high pore pressure, porosity, permeability and temperature, implying good interwell hydraulic communication between both wells. The activation of microcracks dramatically accelerated the dissipation of pore pressure across the entire formation depth and also facilitated heat convection in between the dual wells, though to a lesser extent. In summary, the approach provides a convenient means to assist field engineers in the optimization of injection efficiency and evaluation of interference among multiple horizontal wells.
eXplainable Cooperative Machine Learning with NOVA
Authors: Baur Tobias , Heimerl Alexander , Lingenfelser Florian , Wagner Johannes , Valstar Michel F. , Schuller Björn , André Elisabeth 
Published: January 2020

AbstractIn the following article, we introduce a novel workflow, which we subsume under the term “explainable cooperative machine learning” and show its practical application in a data annotation and model training tool calledNOVA. The main idea of our approach is to interactively incorporate the ‘human in the loop’ when training classification models from annotated data. In particular, NOVA offers a collaborative annotation backend where multiple annotators join their workforce. A main aspect is the possibility of applying semi-supervised active learning techniques already during the annotation process by giving the possibility to pre-label data automatically, resulting in a drastic acceleration of the annotation process. Furthermore, the user-interface implements recent eXplainable AI techniques to provide users with both, a confidence value of the automatically predicted annotations, as well as visual explanation. We show in an use-case evaluation that our workflow is able to speed up the annotation process, and further argue that by providing additional visual explanations annotators get to understand the decision making process as well as the trustworthiness of their trained machine learning models.
Activation of the pattern recognition receptor NOD1 augments colon cancer metastasis
Authors: Jiang Henry Y. , Najmeh Sara , Martel Guy , MacFadden-Murphy Elyse , Farias Raquel , Savage Paul , Leone Arielle , Roussel Lucie , Cools-Lartigue Jonathan , Gowing Stephen , Berube Julie , Giannias Betty , Bourdeau France , Chan Carlos H. F. , Spicer Jonathan D. , McClure Rebecca , Park Morag , Rousseau Simon , Ferri Lorenzo E. 
Published: January 2020

AbstractWhile emerging data suggest nucleotide oligomerization domain receptor 1 (NOD1), a cytoplasmic pattern recognition receptor, may play an important and complementary role in the immune response to bacterial infection, its role in cancer metastasis is entirely unknown. Hence, we sought to determine the effects of NOD1 on metastasis. NOD1 expression in paired human primary colon cancer, human and murine colon cancer cells were determined using immunohistochemistry and immunoblotting (WB). Clinical significance of NOD1 was assessed using TCGA survival data. A series of in vitro and in vivo functional assays, including adhesion, migration, and metastasis, was conducted to assess the effect of NOD1. C12-iE-DAP, a highly selective NOD1 ligand derived from gram-negative bacteria, was used to activate NOD1. ML130, a specific NOD1 inhibitor, was used to block C12-iE-DAP stimulation. Stable knockdown (KD) of NOD1 in human colon cancer cells (HT29) was constructed with shRNA lentiviral transduction and the functional assays were thus repeated. Lastly, the predominant signaling pathway of NOD1-activation was identified using WB and functional assays in the presence of specific kinase inhibitors. Our data demonstrate that NOD1 is highly expressed in human colorectal cancer (CRC) and human and murine CRC cell lines. Clinically, we demonstrate that this increased NOD1 expression negatively impacts survival in patients with CRC. Subsequently, we identify NOD1 activation by C12-iE-DAP augments CRC cell adhesion, migration and metastasis. These effects are predominantly mediated via the p38 mitogen activated protein kinase (MAPK) pathway. This is the first study implicating NOD1 in cancer metastasis, and thus identifying this receptor as a putative therapeutic target.
Recent Progress of Two-Dimensional Thermoelectric Materials
Authors: Li Delong , Gong Youning , Chen Yuexing , Lin Jiamei , Khan Qasim , Zhang Yupeng , Li Yu , Zhang Han , Xie Heping 
Published: January 2020

AbstractThermoelectric generators have attracted a wide research interest owing to their ability to directly convert heat into electrical power. Moreover, the thermoelectric properties of traditional inorganic and organic materials have been significantly improved over the past few decades. Among these compounds, layered two-dimensional (2D) materials, such as graphene, black phosphorus, transition metal dichalcogenides, IVA–VIA compounds, and MXenes, have generated a large research attention as a group of potentially high-performance thermoelectric materials. Due to their unique electronic, mechanical, thermal, and optoelectronic properties, thermoelectric devices based on such materials can be applied in a variety of applications. Herein, a comprehensive review on the development of 2D materials for thermoelectric applications, as well as theoretical simulations and experimental preparation, is presented. In addition, nanodevice and new applications of 2D thermoelectric materials are also introduced. At last, current challenges are discussed and several prospects in this field are proposed.
Improved Matrix Methodology for Calculating Diffraction Intensity Profiles from Interstratified Phyllosilicates
Authors: Yuan Hongji , Bish David L. 
Published: January 2020

AbstractDiffraction effects from interstratified phyllosilicates have been studied extensively, and several computer programs such as NEWMOD© are available to facilitate interpretation of X-ray diffraction (XRD) profiles. However, accurate quantification of samples containing multiple interstratified phyllosilicate minerals is difficult due to the generally subjective nature of interpretations. More recent automated fitting interpretations require extensive computational effort, involving numerous calculations of profiles with different fitting-parameter values. Computational cost in time per calculation is the key factor influencing the overall efficiency of automated profile fitting. In general, the matrix methodology developed by Kakinoki and Komura is more efficient than the NEWMOD© architecture. A new matrix methodology was developed that reduces the number of matrix operations such as multiplication and addition, and these modifications improve calculation efficiency by up to a factor of three, with even greater improvement for small crystallite sizes (< 20 layers). A new computer program, ClayStrat, based on the modified matrix methodology, was developed to calculate one-dimensional XRD profiles from interstratified phyllosilicates along the Z direction.
Patterns of middle-ear cholesteatoma and implications for surgical approach
Authors: Yu Y , See J , Ng J H , Low D , Tan T Y , Yuen H W 
Published: January 2020

AbstractObjectivesUnderstanding the pattern of middle-ear cholesteatoma becomes pertinent with the rise of endoscopic surgery as surgeons decide on the optimal approach to visualise and extirpate disease. With modifications to the Telmesani attic–tympanum–mastoid staging system, this study aimed to evaluate the commonest patterns of middle-ear cholesteatoma and their implications for surgical approach.MethodsA retrospective study was conducted in a single tertiary institution in Singapore. All patients undergoing cholesteatoma surgery between January 2012 and June 2015 were included.Staging of cholesteatoma was based on clinical assessment corroborated by radiological findings.ResultsOut of the 55 ears included, 98.2 per cent had cholesteatoma involving the attic. The disease extended into the mastoid antrum and beyond in 43 cases (78.2 per cent). The facial recess and/or sinus tympanum was affected in 26 cases (47.3 per cent).ConclusionThe majority of cholesteatoma cases present with extensive attic disease and significant mastoid involvement. In these cases, endoscopes may be best suited to adjunctive rather than exclusive use in surgery.
Evaluation of physical and adhesive properties of enamel after a therapeutic dose of radiation and bonding of orthodontic metal brackets: an in vitro study
Authors: Anushree A. , Shetty Ashutosh , Soans Crystal Runa , Kuttappa M. N. , Shetty Akhil , Shetty Kaushik , Nayak U. S. Krishna 
Published: January 2020

AbstractAim:The study aimed to evaluate the shear bond strength (SBS) of metal brackets and adhesive properties of bonded irradiated and non-irradiated teeth.Methods:Sixty-six extracted premolar samples were randomly divided into three groups—(a) Control group consisting of 22 non-irradiated, non-aged teeth (Group 1), (b) 22 non-irradiated, aged samples (Group 2) and (c) 22 irradiated, aged samples (Group 3). Irradiation was done using gamma irradiation with a fractionated dose of 60 Gy for 5 consecutive days per week over 6 weeks. Metal brackets were bonded on all samples with light cure adhesive and subjected to SBS test using universal testing machine. The samples were assessed under the scanning electron microscope to check for the adhesive remnant index (ARI) and tag depth.Results:There was a statistically significant decrease in the mean SBS of the irradiated samples compared to the non-irradiated teeth. The non-irradiated, aged samples showed a majority of ARI scoring 1 and 2. Whereas, the irradiated samples showed ARI scoring 2 and 3. Approximately, 77·3% of the non-irradiated samples showed no adhesive present on the tooth surface, and 27·2% of the irradiated samples had more than 50% adhesive present on the enamel surface.Conclusion:There is a statistically significant decrease in SBS of irradiated enamel compared to that of non-irradiated teeth. However, the SBS observed in the three groups was well above the ideal SBS for orthodontic bonding, that is, 5·6–6·8 MPa. The adhesive remnant was found on all samples of the irradiated group. Deeper adhesive resin tags were found in the irradiated group in the resin–enamel interface.
Development of the Motivation to Participate in Psychological Research Scale
Authors: Freng Scott 
Published: January 2020

Abstract. In a series of four studies, I developed and found evidence supporting the validity of a new measure, the Motivation to Participate in Psychological Research Scale (MPPRS). Based upon the tenets of Self-Determination Theory and aimed at measuring motivation in undergraduate students, the scale demonstrated a three-factor structure in exploratory and confirmatory factor analyses (Study 1: N = 238, Study 2: N = 264, Study 3: N = 297). Factors corresponded to autonomous motivation, controlled motivation, and amotivation. Preliminary evidence supported the validity of MPPRS scores, and subscales differentiated psychology majors from non-majors, as well as associated with the timing of research participation during the semester. Examining student motivation with the MPPRS has possible implications for data quality, as a moderator of research findings, and might be used to track changes in students’ interest regarding psychological research. However, future research is needed to assess the predictive validity of the MPPRS.
Remote Detection and Location of Explosive Volcanism in Alaska With the EarthScope Transportable Array
Authors: Sanderson Richard W. , Matoza Robin S. , Fee David , Haney Matthew M. , Lyons John J. 
Published: January 2020

AbstractThe current deployment of the EarthScope Transportable Array (TA) in Alaska affords an unprecedented opportunity to study explosive volcanic eruptions using a relatively dense regional seismoacoustic network. Infrasound monitoring has demonstrated utility for the remote (>250 km range) detection and characterization of volcanic explosions, but previous studies have used relatively sparse regional or global networks. Seventy explosive events from the locally unmonitored Bogoslof volcano (2016–2017) provide a unique validation data set to examine the ability of the TA and other regional networks to detect and locate remote explosive volcanic eruptions in Alaska. With a simple envelope‐based reverse time migration (RTM) technique, we are able to detect and locate more than 72% of the 61 Bogoslof infrasound events detected by the Alaska Volcano Observatory. Notably, RTM using only sparse regional infrasound arrays produces results similar to when incorporating the extensive single‐sensor TA network, likely due to favorable signal‐to‐noise ratios, seasonal propagation conditions, and source‐receiver geometries. Our implementation also detects and locates explosive eruptions from Cleveland volcano, Alaska, and Bezymianny volcano, Kamchatka, as well as infrasound from nonvolcanic events such as earthquakes. We characterize the success of the RTM algorithm and associated parameter choices using receiver operating characteristic curves, event detection rates, and location accuracy. Our methods are useful for explosive volcanic and nonvolcanic event detection and localization using real‐time data and for scanning continuous waveform data archives.