bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using a Targeted Proteomics Chip to Explore Pathophysiological Pathways for Incident Diabetes– The Malmö Preventive Project
Authors: Molvin John , Pareek Manan , Jujic Amra , Melander Olle , Råstam Lennart , Lindblad Ulf , Daka Bledar , Leósdóttir Margrét , Nilsson Peter M. , Olsen Michael H. , Magnusson Martin 
Published: January 2019

AbstractMultiplex proteomic platforms provide excellent tools for investigating associations between multiple proteins and disease (e.g., diabetes) with possible prognostic, diagnostic, and therapeutic implications. In this study our aim was to explore novel pathophysiological pathways by examining 92 proteins and their association with incident diabetes in a population-based cohort (146 cases of diabetes versus 880 controls) followed over 8 years. After adjusting for traditional risk factors, we identified seven proteins associated with incident diabetes. Four proteins (Scavenger receptor cysteine rich type 1 protein M130, Fatty acid binding protein 4, Plasminogen activator inhibitor 1 and Insulin-like growth factor-binding protein 2) with a previously established association with incident diabetes and 3 proteins (Cathepsin D, Galectin-4, Paraoxonase type 3) with a novel association with incident diabetes. Galectin-4, with an increased risk of diabetes, and Paraoxonase type 3, with a decreased risk of diabetes, remained significantly associated with incident diabetes after adjusting for plasma glucose, implying a glucose independent association with diabetes.
Phase-specific functions of macrophages determine injury-mediated corneal hem- and lymphangiogenesis
Authors: Kiesewetter A. , Cursiefen C. , Eming S. A. , Hos D. 
Published: January 2019

AbstractMacrophages are critical mediators of injury-associated corneal hemangiogenesis (HA) and lymphangiogenesis (LA). Yet, molecular regulators of the hem- and lymphangiogenic potential of corneal wound macrophages are poorly understood. Using two different mouse models of acute (perforating corneal incision injury) and chronic (corneal suture placement model) corneal injury, here we identified distinct functions of early- versus late-phase corneal wound macrophages in corneal HA and LA. Whereas early-phase wound macrophages are essential for initiation and progression of injury-mediated corneal HA and LA, late-phase wound macrophages control maintenance of established corneal lymphatic vessels, but not blood vessels. Furthermore, our findings reveal that the hem- and lymphangiogenic potential of corneal wound macrophages is controlled by the type of the corneal damage. Whereas perforating corneal incision injury induced primarily wound macrophages with lymphangiogenic potential, corneal suture placement provoked wound macrophages with both hem- and lymphangiogenic potential. Our findings highlight a previously unrecognized injury-context dependent role of early- versus late-phase corneal wound macrophages with potential clinical impact on therapy development for sight-threatening corneal neovascular diseases.
Genetic variant of WIF1 gene is functionally associated with developmental dysplasia of the hip in Han Chinese population
Authors: Sun Ye , You Yongqing , Dai Kerong , Zhang Junxin , Yan Moqi , Zhang Yijian 
Published: January 2019

AbstractDevelopmental dysplasia of the hip (DDH) is a common skeletal disorder. Studies have demonstrated a significant role of WIF1 gene in skeletal development. The present study was conducted to reveal the association between DDH and gene WIF1. A two-stage case-control candidate gene association study was conducted in total 1573 samples (586 DDH patients and 987 healthy controls) in this study. Polymorphism rs3782499 was genotyped in all samples. Difference of WIF1 expression in hip joint tissue was compared between the patients and the controls. WIF1 expression was compared among different genotypes in DDH patients. The SNP rs3782499 was found significantly associated with DDH in the two-stage study with 585 patients and 987 controls. There was a significant difference in allele frequency (p = 4.37 * 10−5) and genotype distribution in a recessive model (AG + GG vs. AA). DDH patients were found to have significantly higher WIF1 expression than controls. Moreover, Patients with rs3782499 genotype AA have a significantly increased expression of WIF1 than those with GG. To conclude, polymorphism rs3782499 of WIF1 gene is a functional variant regulating the expression of WIF1 in DDH in Chinese Han population, which might be a potential biomarker for the early diagnosis of DDH.
Quantitative phase imaging reveals matrix stiffness-dependent growth and migration of cancer cells
Authors: Li Yanfen , Fanous Michael J. , Kilian Kristopher A. , Popescu Gabriel 
Published: January 2019

AbstractCancer progression involves complex signals within the tumor microenvironment that orchestrate proliferation and invasive processes. The mechanical properties of the extracellular matrix (ECM) within this microenvironment has been demonstrated to influence growth and the migratory phenotype that precedes invasion. Here we present the integration of a label-free quantitative phase imaging technique, spatial light interference microscopy (SLIM)—with protein-conjugated hydrogel substrates—to explore how the stiffness of the ECM influences melanoma cells of varying metastatic potential. Melanoma cells of high metastatic potential demonstrate increased growth and velocity characteristics relative to cells of low metastatic potential. Cell velocity in the highly metastatic population shows a relative stability at higher matrix stiffness suggesting adoption of migratory routines that are independent of mechanics to facilitate invasion. The use of SLIM and engineered substrates provides a new approach to characterize the invasive properties of live cells as a function of microenvironment parameters. This work provides fundamental insight into the relationship between growth, migration and metastatic potential, and provides a new tool for profiling cancer cells for clinical grading and development of patient-specific therapeutic regimens.
Microfluidic-based graphene field effect transistor for femtomolar detection of chlorpyrifos
Authors: Islam Saurav , Shukla Shruti , Bajpai Vivek K. , Han Young-Kyu , Huh Yun Suk , Ghosh Arindam , Gandhi Sonu 
Published: January 2019

AbstractChlorpyrifos is one of the most widely used pesticides that acts on the nervous system by inhibiting acetylcholinesterase. Prolonged use of chlorpyrifos causes severe neurological, autoimmune, and persistent developmental disorders in humans. Therefore, in this study, a highly sensitive and robust biosensor platform was devised by fabricating graphene field effect transistors (graFET) on Si/SiO2 substrate for the detection of chlorpyrifos in real samples. Anti-chlorpyrifos antibodies were immobilized successfully on the graphene surface. Under optimal conditions, graFET sensor showed an excellent response for chlorpyrifos detection in the linear range of 1 fM to 1 µM with a limit of detection up to 1.8 fM in spiked samples. The developed graFET biosensor is highly stable, sensitive, and specific for chlorpyrifos as confirmed by its significant ability to detect changes in electrostatic potential. These findings signify useful efficacy of immunobiosensors for the detection of chlorpyrifos and other organophosphates in fruits and vegetables.
Transcriptomic immaturity inducible by neural hyperexcitation is shared by multiple neuropsychiatric disorders
Authors: Murano Tomoyuki , Hagihara Hideo , Tajinda Katsunori , Matsumoto Mitsuyuki , Miyakawa Tsuyoshi 
Published: January 2019

AbstractBiomarkers are needed to improve the diagnosis of neuropsychiatric disorders, which are often associated to excitatory/inhibitory imbalances in neural transmission and abnormal maturation. Here, we characterized different disease conditions by mapping changes in the expression patterns of maturation-related genes whose expression was altered by experimental neural hyperexcitation in published studies. This analysis revealed two gene expression patterns: decreases in maturity markers and increases in immaturity markers. These two groups of genes were characterized by the over-representation of genes related to synaptic function and chromosomal modification, respectively. Using these two groups in a transdiagnostic analysis of 87 disease datasets for eight neuropsychiatric disorders and 12 datasets from corresponding animal models, we found that transcriptomic pseudoimmaturity inducible by neural hyperexcitation is shared by multiple neuropsychiatric disorders, such as schizophrenia, Alzheimer disorders, and amyotrophic lateral sclerosis. Our results indicate that this endophenotype serves as a basis for the transdiagnostic characterization of these disorders.
A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy
Authors: Wei Zhongwang , Lee Xuhui , Aemisegger Franziska , Benetti Marion , Berkelhammer Max , Casado Mathieu , Caylor Kelly , Christner Emanuel , Dyroff Christoph , García Omaira , González Yenny , Griffis Timothy , Kurita Naoyuki , Liang Jie , Liang Mao-Chang , Lin Guanghui , Noone David , Gribanov Konstantin , Munksgaard Niels C. , Schneider Matthias , Ritter François , Steen-Larsen Hans Christian , Vallet-Coulomb Christine , Wen Xuefa , Wright Jonathon S. , Xiao Wei , Yoshimura Kei 
Published: January 2019

AbstractThe isotopic composition of water vapour provides integrated perspectives on the hydrological histories of air masses and has been widely used for tracing physical processes in hydrological and climatic studies. Over the last two decades, the infrared laser spectroscopy technique has been used to measure the isotopic composition of water vapour near the Earth’s surface. Here, we have assembled a global database of high temporal resolution stable water vapour isotope ratios (δ18O and δD) observed using this measurement technique. As of March 2018, the database includes data collected at 35 sites in 15 Köppen climate zones from the years 2004 to 2017. The key variables in each dataset are hourly values of δ18O and δD in atmospheric water vapour. To support interpretation of the isotopologue data, synchronized time series of standard meteorological variables from in situ observations and ERA5 reanalyses are also provided. This database is intended to serve as a centralized platform allowing researchers to share their vapour isotope datasets, thus facilitating investigations that transcend disciplinary and geographic boundaries.
PEPCONF, a diverse data set of peptide conformational energies
Authors: Prasad Viki Kumar , Otero-de-la-Roza Alberto , DiLabio Gino A. 
Published: January 2019

AbstractWe present an extensive and diverse database of peptide conformational energies. Our database contains five different classes of model geometries: dipeptides, tripeptides, and disulfide-bridged, bioactive, and cyclic peptides. In total, the database consists of 3775 conformational energy data points and 4530 conformer geometries. All the reference energies have been calculated at the LC-ωPBE-XDM/aug-cc-pVTZ level of theory, which is shown to yield conformational energies with an accuracy in the order of tenths of a kcal/mol when compared to complete-basis-set coupled-cluster reference data. The peptide conformational data set (PEPCONF) is presented as a high-quality reference set for the development and benchmarking of molecular-mechanics and semi-empirical electronic structure methods, which are the most commonly used techniques in the modeling of medium to large proteins.
Kinase activity of mutant LRRK2 manifests differently in hetero-dimeric vs. homo-dimeric complexes
Authors: Leandrou Emmanouela , Markidi Eliana , Memou Anna , Melachroinou Katerina , Greggio Elisa , Rideout Hardy J. 
Published: January 2019

Abstract
The Parkinson's disease (PD) protein leucine-rich repeat kinase 2 (LRRK2) exists as a mixture of monomeric and dimeric species, with its kinase activity highly concentrated in the dimeric conformation of the enzyme. We have adapted the proximity biotinylation approach to study the formation and activity of LRRK2 dimers isolated from cultured cells. We find that the R1441C and I2020T mutations both enhance the rate of dimer formation, whereas, the G2019S kinase domain mutant is similar to WT, and the G2385R risk factor variant de-stabilizes dimers. Interestingly, we find a marked departure in the kinase activity between G2019S–LRRK2 homo-dimers and wild-type-G2019S hetero-dimers. While the homo-dimeric G2019S–LRRK2 exhibits the typical robust enhancement of kinase activity, hetero-dimers comprised of wild-type (WT) and G2019S–LRRK2 exhibit kinase activity similar to WT. Dimeric complexes of specific mutant forms of LRRK2 show reduced stability following an in vitro kinase reaction, in LRRK2 mutants for which the kinase activity is similar to WT. Phosphorylation of the small GTPase Rab10 follows a similar pattern in which hetero-dimers of WT and mutant LRRK2 show similar levels of phosphorylation of Rab10 to WT homo-dimers; while the levels of pRab10 are significantly increased in cells expressing mutant homo-dimers. Interestingly, while the risk variant G2385R leads to a de-stabilization of LRRK2 dimers, those dimers possess significantly elevated kinase activity. The vast majority of familial LRRK2-dependent PD cases are heterozygous; thus, these findings raise the possibility that a crucial factor in disease pathogenesis may be the accumulation of homo-dimeric mutant LRRK2.
5-HT2A receptor loss does not alter acute fluoxetine-induced anxiety and exhibit sex-dependent regulation of cortical immediate early gene expression
Authors: Jaggar Minal , Banerjee Toshali , Weisstaub Noelia , Gingrich Jay A. , Vaidya Vidita A. 
Published: January 2019

Abstract
Background: Acute treatment with the selective serotonin reuptake inhibitor (SSRI), fluoxetine (Flx), induces anxiety-like behavioral effects. The serotonin2A receptor (5-HT2A) is implicated in the modulation of anxiety-like behavior, however its contribution to the anxiogenic effects of acute Flx remains unclear. Here, we examined the role of the 5-HT2A receptor in the effects of acute Flx on anxiety-like behavior, serum corticosterone levels, neural activation and immediate early gene (IEG) expression in stress-responsive brain regions, using 5-HT2A receptor knockout (5-HT2A−/−) mice of both sexes. Methods: 5-HT2A−/− and wild-type (WT) male and female mice received a single administration of Flx or vehicle, and were examined for anxiety-like behavior, serum corticosterone levels, FBJ murine osteosarcoma viral oncogene homolog peptide (c-Fos) positive cell numbers in stress-responsive brain regions of the hypothalamus and prefrontal cortex (PFC), and PFC IEG expression. Results: The increased anxiety-like behavior and enhanced corticosterone levels evoked by acute Flx were unaltered in 5-HT2A−/− mice of both sexes. 5-HT2A−/− female mice exhibited a diminished neural activation in the hypothalamus in response to acute Flx. Further, 5-HT2A−/− male, but not female, mice displayed altered baseline expression of several IEGs (brain-derived neurotrophic factor (Bdnf), Egr2, Egr4, FBJ osteosarcoma gene (Fos), FBJ murine osteosarcoma viral oncogene homolog B (Fosb), Fos-like antigen 2 (Fosl2), Homer scaffolding protein (Homer) 1-3 (Homer1-3), Jun proto-oncogene (Jun)) in the PFC. Conclusion: Our results indicate that the increased anxiety and serum corticosterone levels evoked by acute Flx are not influenced by 5-HT2A receptor deficiency. However, the loss of function of the 5-HT2A receptor alters the degree of neural activation of the paraventricular nucleus (PVN) of the hypothalamus in response to acute Flx, and baseline expression of several IEGs in the PFC in a sexually dimorphic manner.
Design of a wind turbine generator for rural applications
Authors: Ruschetti Cristian , Verucchi Carlos , Bossio Guillermo , García Guillermo , Meira Matias 
Published: January 2019

This paper presents a wind‐generation system design for rural applications. In Southern areas of Argentina, there are right conditions for wind energy exploitation. Depending on the characteristics of these areas, the wind‐generation systems can operate either isolated or connected to the grid. This work particularly emphasises the design of a generator to optimise the system performance and achieve its minimum volume. The analytical design is evaluated using finite element analysis and experimentally validated using a 35 kW prototype. The tests reveal that the design procedure is suitable. The initially proposed efficiency aim was exceeded, reaching a maximum value of 94.2%. The generator operating conditions make it particularly suited for the application for which it was designed.
Analysis and behavioural modelling of matching networks for resonant‐operating capacitive wireless power transfer
Authors: Abramov Eli , Alonso Jose Marcos , Peretz Mor Mordechai 
Published: January 2019

This study introduces a two‐port network‐based behavioural modelling approach for resonant‐operated capacitive wireless power transfer (WPT) systems. A simple, generic and unified modelling approach is developed to describe the behaviour of WPT systems, under changes of the source and load circuits, variations of the coupling interface and drifts of the components in the matching networks. The resultant model provides insights into the electrical cross‐coupling relationships between input and output parameters of the capacitive power transfer systems, including the effect of distance and alignment of the coupling plates. Regardless of the circuit complexity, it is demonstrated that the model core can be reduced to a basic gyrator relationship with added coefficients when required, thus obtaining a compact, closed‐form relationship between the input and output. To provide a simulation framework for capacitive medium variations, a simulation‐compatible model of the capacitive coupling using a continuous‐time variable capacitor has been constructed. The behavioural model and methodology have been validated through simulations and experiments. A 200 W experimental capacitive WPT prototype has been designed and examined for various air‐gaps up to 100 mm at a resonant operation of 1.56 MHz. A very good agreement is obtained between the theoretical predictions, simulations, and experimental results.
Forecasting of PV plant output using hybrid wavelet‐based LSTM‐DNN structure model
Authors: Ospina Juan , Newaz Alvi , Faruque M. Omar 
Published: January 2019

This paper proposes a novel forecasting model designed to accurately forecast the PV power output for both large‐scale and small‐scale PV systems. The proposed model uses available temperature data, approximate and detailed coefficients obtained from the decomposed PV power time series using the stationary wavelet transform (SWT), and statistical features extracted from the historical PV data. The model is comprised of four long–short–term memory (LSTM) recurrent neural networks (RNN) designed to perform multi‐step forecasting on the individual approximate and detailed coefficients decomposed by the SWT and a final deep neural network (DNN) designed to perform the next time step PV power forecast. The DNN makes use of the reconstructed values estimated by the four LSTM networks together with temperature data and statistical features to predict the final forecasted value of the next time step PV power. 30‐min resolution data from a 12.6 MW PV system located in the state of Florida are used for testing and evaluating the proposed method against several models found in the literature. The results obtained suggest that the proposed model improved the forecasting accuracy significantly in the metrics used to compare with other models while reducing the number of features needed to perform the forecasting operation.
Detection of weak monocycle sinusoidal signals with a low constant false alarm rate based on the support vector machine
Authors: Tan Bo , Guo Jingbo , Chang Guang 
Published: January 2019

The detection of weak monocycle sinusoidal signals is the abstract problem of the weak transient signal detection in many engineering applications. A low constant false alarm rate is often required on some occasions with serious false alarm consequences, such as the relay protection and the weapon trigger. The weak monocycle sinusoidal signal means a low signal‐to‐noise ratio (SNR), only one sinusoidal period, and an unknown initial phase. The support vector machine (SVM) is applied to detect the weak monocycle sinusoidal signal. The false alarm performance of the built SVM is attractive. The characteristics of the built SVM in white Gaussian noise are as follows. Firstly, the probability of false alarm is 0 and the probability of detection is 1 when the SNR is over −11 dB. Secondly, different unknown initial phases cannot influence the performance. Thirdly, the probability of false alarm is always 0, when the SNR is over −25 dB. Furthermore, the experimental results show that this method is also effective in coloured noise. When the SNR of coloured noise is −0.28 dB, the weak monocycle sinusoidal signal can be detected. When the SNR of coloured noise is over −60 dB, the probability of false alarm is always 0.
Study on voltage distribution characteristic of a 363 kV fast multi‐break vacuum circuit breaker
Authors: Shaogui Ai , Xiao Yu , Yongning Huang , Fan Yang , Yiping Fan , Xing Li 
Published: January 2019

Vacuum circuit breaker (VCB) has a longer life and shorter opening time than SF6 circuit breaker, but current single‐break VCB cannot be applied in high‐voltage power system directly. Here, a fast 363 kV multi‐break VCB design is presented and its voltage distribution characteristic and stray capacitors are analysed. A three‐dimensional finite‐element model of modularised hexa‐break VCB composed of 12 vacuum interrupter modules installed on three series connected platforms is developed to calculate the voltage distribution and distributed capacitances. The result shows that the voltage distribution is uneven, and the first break shares the 67.974% of the whole applied voltage. On account of distributed capacitances parameters, an equivalent capacitance model with PSCAD is built to discuss the voltage distribution characteristic at different grading capacitance values, and the optimal grading capacitance value is determined to 10 nF.