bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crystal structure of a lipin/Pah phosphatidic acid phosphatase
Authors: Khayyo Valerie I. , Hoffmann Reece M. , Wang Huan , Bell Justin A. , Burke John E. , Reue Karen , Airola Michael V. 
Published: March 2020

AbstractLipin/Pah phosphatidic acid phosphatases (PAPs) generate diacylglycerol to regulate triglyceride synthesis and cellular signaling. Inactivating mutations cause rhabdomyolysis, autoinflammatory disease, and aberrant fat storage. Disease-mutations cluster within the conserved N-Lip and C-Lip regions that are separated by 500-residues in humans. To understand how the N-Lip and C-Lip combine for PAP function, we determined crystal structures of Tetrahymena thermophila Pah2 (Tt Pah2) that directly fuses the N-Lip and C-Lip. Tt Pah2 adopts a two-domain architecture where the N-Lip combines with part of the C-Lip to form an immunoglobulin-like domain and the remaining C-Lip forms a HAD-like catalytic domain. An N-Lip C-Lip fusion of mouse lipin-2 is catalytically active, which suggests mammalian lipins function with the same domain architecture as Tt Pah2. HDX-MS identifies an N-terminal amphipathic helix essential for membrane association. Disease-mutations disrupt catalysis or destabilize the protein fold. This illustrates mechanisms for lipin/Pah PAP function, membrane association, and lipin-related pathologies.
Predicting the Effects of Random Ocean Dynamic Processes on Underwater Acoustic Sensing and Communication
Authors: Cho Byunggu , Makris Nicholas C. 
Published: March 2020

AbstractAcoustics is the primary means of sensing and communication in the ocean for humans and many marine animals. Natural fluctuations in the ocean, however, degrade these abilities in ways that have been previously difficult to forecast. Here, we address this issue by predicting sensing and communication degradation in terms of acoustic attenuation, dispersion and temporal decorrelation at typical operational ranges and frequencies in continental-shelf environments. This is done with analytic expressions derived from first physical principles. The analytic expressions provide the statistics of the acoustic field after forward propagating through an ocean waveguide containing 3-D random inhomogeneities from the independent or combined effects of rough sea-surfaces, near-sea-surface air bubbles and internal waves. The formulation also includes Doppler effects caused by the inhomogeneities’ random horizontal motion, enabling modeling and prediction over a wide range of environments and frequencies. Theoretical predictions are confirmed with available acoustic measurements in several continental-shelf environments using standard oceanographic measurements for environmental support. We quantify how the acoustic signals decorrelate over timescales determined by the underlying temporal coherence of ocean dynamic processes. Surface gravity waves and near-sea-surface air bubbles decorrelate acoustic signals over seconds or less, whereas internal waves affect acoustic coherence at timescales of several to tens of minutes. Doppler spread caused by the inhomogeneities’ motion further reduces acoustic temporal coherence, and becomes important at the high frequencies necessary for communication and fine-scale sensing. We also show that surface gravity waves and bubbles in high sea states can cause increasingly significant attenuation as frequency increases. The typical durations of marine mammal vocalizations that carry over great distances are found to be consistent with the coherence timescales quantified here and so avoid random distortion of signal information even by incoherent reception.
Daily GRACE satellite data evaluate short-term hydro-meteorological fluxes from global atmospheric reanalyses
Authors: Eicker Annette , Jensen Laura , Wöhnke Viviana , Dobslaw Henryk , Kvas Andreas , Mayer-Gürr Torsten , Dill Robert 
Published: March 2020

AbstractChanges in terrestrial water storage as observed by the satellite gravity mission GRACE (Gravity Recovery and Climate Experiment) represent a new and completely independent way to constrain the net flux imbalance in atmospheric reanalyses. In this study daily GRACE gravity field changes are used for the first time to investigate high-frequency hydro-meteorological fluxes over the continents. Band-pass filtered water fluxes are derived from GRACE water storage time series by first applying a numerical differentiation filter and subsequent high-pass filtering to isolate fluxes at periods between 5 and 30 days corresponding to typical time-scales of weather system persistence at moderate latitudes. By comparison with the latest atmospheric reanalysis ERA5 of the European Centre for Medium-Range Weather Forecasts (ECWMF) we show that daily GRACE gravity field models contain realistic high-frequency water flux information. Furthermore, GRACE-derived water fluxes can clearly identify improvements realized within ERA5 over its direct predecessor ERA-Interim particularly in equatorial and temperate climate zones. The documented improvements are in good agreement with rain gauge validation, but GRACE also identifies three distinct regions (Sahel Zone, Okavango Catchment, Kimberley Plateau) with a slight degradation of net-fluxes in ERA5 with respect to ERA-Interim, thereby highlighting the potentially added value of non-standard daily GRACE gravity series for hydro-meteorological monitoring purposes.
Sertraline induces DNA damage and cellular toxicity in Drosophila that can be ameliorated by antioxidants
Authors: Jajoo Arpita , Donlon Catherine , Shnayder Sarah , Levin Michael , McVey Mitch 
Published: March 2020

AbstractSertraline hydrochloride is a commonly prescribed antidepressant medication that acts by amplifying serotonin signaling. Numerous studies have suggested that children of women taking sertraline during pregnancy have an increased risk of developmental defects. Resolving the degree of risk for human fetuses requires comprehensive knowledge of the pathways affected by this drug. We utilized a Drosophila melanogaster model system to assess the effects of sertraline throughout development. Ingestion of sertraline by females did not affect their fecundity or embryogenesis in their progeny. However, larvae that consumed sertraline experienced delayed developmental progression and reduced survival at all stages of development. Genetic experiments showed that these effects were mostly independent of aberrant extracellular serotonin levels. Using an ex vivo imaginal disc culture system, we showed that mitotically active sertraline-treated tissues accumulate DNA double-strand breaks and undergo apoptosis at increased frequencies. Remarkably, the sertraline-induced genotoxicity was partially rescued by co-incubation with ascorbic acid, suggesting that sertraline induces oxidative DNA damage. These findings may have implications for the biomedicine of sertraline-induced birth defects.
Evaluation of Homoeopathic Treatment Approach in Depressive Disorders of Hyderabad Urban Population of Age Group 15–30 Years: A Prospective, Non-comparative, Open-Label Observational Study
Authors: Mohan G. Ram , Prabhakar Korada , Murali T. , Prasad P. Ramakrishna 
Published: March 2020

Abstract
Objective Depressive disorders have an overall prevalence of 12.1%, which is clinically very significant. This study is taken up to understand the concept of the causes of depressive disorders, to understand the miasmatic state of depressive disorders and to determine the efficacy of homoeopathic medicines in the management of depressive disorders.
Methods A prospective, non-comparative, open-label observational study was done at Multi-Specialty Clinic and Research Centre of The Andhra Pradesh Homoeopathic Association from 2009 to 2012. Patients aged between 15 and 30 years, presenting with symptoms of depressive disorders, were screened for inclusion and exclusion criteria and a total of 207 cases were enrolled for the study. The characteristic symptoms of the patients were recorded, repertorised, miasmatic diagnosis done and medicines prescribed based on individualisation of patient, with the help of materia medica. Hamilton depression rating scale (HAM-D) was used to assess the treatment. The parameter of improvement was - Marked improvement - 75% and above; outcome. Moderate improvement - 50% and above; Mild improvement - 25%.
Results Out of 207 enrolled patients, 32 cases were dropout, while total 175 cases were analysed. The significant difference (p = 0.0001, p < 0.05) in the mean scores of HAM-D using paired t-test was observed at the end of the study; marked improvement was seen in 39 cases; moderate improvement was seen in 76; mild improvement was seen in 34 cases; no improvement was seen in 26 cases. Remedies such as Ignatia, Nat mur, Nux vomica, Staphysagria, Arsenicum album and Lycopodium were found to have a positive role.
Conclusion The study showed positive and encouraging results of homoeopathic intervention in the management of patients suffering from depressive disorders as measured by HAM-D scale.
Management of Sub-Acute Exacerbation of Bronchial Asthma with Blatta orientalis: A Case Report
Authors: Ram Hanuman , Choudhary Prasoon , Kamboj Minakshi 
Published: March 2020

AbstractAsthma is a chronic respiratory disease. It is an inflammatory condition of the lower airways that affects around 275–300 million people globally and 25 to 30 million people in India. It can attack all age groups and is characterised by recurrent attacks of breathlessness, wheezing and coughing, which may vary from person to person in severity and frequency. It is caused by inflammation of air passages, hypersensitivity to allergens, pulmonary oedema and congestion of lungs. This case report is an evidence of successful treatment of sub-acute exacerbations of bronchial asthma by using homoeopathic medicine based on acute totality of the case. The case of a 32-year-old woman with bronchial asthma is reported here who was treated with Blatta orientalis 30C. All investigations and pulmonary function tests (spirometry) indicated the diagnosis to be bronchial asthma with moderate obstruction of small airways. After case taking, Blatta orientalis 30C was prescribed, following which, after 6 months of treatment, patient felt better in all aspects with reduction in the number of asthma attacks and marked improvement in Elizabeth Juniper's Asthma Control Questionnaire Score and other investigations.
Use of Morgan Repertory in UTI: A Case Series
Authors: Sharma Ruchira , Sharma Abhishek Kumar , Mathur Shishir 
Published: March 2020

Abstract
Background Patients with lower urinary tract infection report with unknown aetiology as a frequently encountered clinical problem.
Aims To treat the patients suffering from acute symptoms of lower urinary tract infection as an add-on to standard urological care.
Materials and Methods After exclusion of morphologic abnormalities, all patients with acute lower urinary tract infection who filled urinary tract infection questionnaire were offered additional homoeopathic care as an add-on to standard urological care. Standard urological care included in this study were to have adequate fluid intake to ensure the passage of 1.5 to 2 L of urine per day and maintain hygiene, especially in case of women. Symptoms were fever, incontinence, increased spasticity, decreased bladder capacity or pain, or decreased general health combined with significant bacteriuria. Seven patients were enrolled who fulfilled all the above inclusion criteria. The potencies were used according to disease grading and patient susceptibility. Descriptive statistics was used for analysis and repertory of the urinary organs and prostate gland including condylomata compiled by A.R. Morgan used for homoeopathic medicine selection.
Result Seven patients were followed up for a period of 2 years. Six patients were free of urinary tract infection (UTI), whereas UTI symptoms were reduced in one patient.
Conclusion Our initial experience with curing of UTI with homoeopathy according to repertory of the urinary organs and prostate gland including condylomata compiled by A.R. Morgan as add on to standard urologic care was encouraging. For an evidence-based evaluation of this concept, prospective studies are required.
Response of Molluscum Contagiosum to Homoeopathic Treatment: Report of Three Cases
Authors: Dogra Soumyabrata , Ghosh Shubhamoy , Mukherjee Chayan , Dutta Abhijit 
Published: March 2020

AbstractMolluscum contagiosum (MC) is a benign skin condition having peculiar pearly white or pink lesions. This is considered to be a very contagious disease, common in children of low socioeconomic group. Conventionally, local removal of lesions is the primary choice of treatment, commonly cryotherapy. This is a report of three cases suffering from MC for a variable period, treated with individualised homoeopathic treatment. The rationale of this report reflects the effective management of such cases with homoeopathy.
The effect of environmental sustainability on credit risk
Authors: Höck André , Klein Christian , Landau Alexander , Zwergel Bernhard 
Published: March 2020

AbstractThe European Commission has proposed establishing a framework that redirects capital to sustainable investments in order to foster sustainable economic growth. A key proposal from this framework is the mandatory consideration of environmental criteria for investment decisions. However, in particular for bond investors, there is not much academic guidance on how to integrate sustainability criteria in the investment process. Hence, this study investigates the impact of environmental sustainability on the pricing of credit risk for European corporations. Furthermore, whether or not the credit worthiness of a corporation has a moderating effect on the relationship between the environmental sustainability and the credit risk premium is analyzed. The findings prove that more sustainable companies have lower credit risk premiums if they also have a high credit worthiness.
Central neurogenetic signatures of the visuomotor integration system
Authors: Bueichekú Elisenda , Aznárez-Sanado Maite , Diez Ibai , d’Oleire Uquillas Federico , Ortiz-Terán Laura , Qureshi Abid Y. , Suñol Maria , Basaia Silvia , Ortiz-Terán Elena , Pastor Maria A. , Sepulcre Jorge 
Published: March 2020

Significance
Previous research has explored the association between behavioral disorders and dysfunction in corresponding neural networks. For example, autism spectrum disorder, Prader–Willi syndrome, and Dravet syndrome are characterized by behavioral deficits in the visuomotor integration system. To date, few investigations have combined brain connectomic–genetic data to investigate the biological basis of childhood neurodevelopment and clinical syndromes. The present study provides evidence of a link between expression of malfunctioning genes associated with these syndromes (i.e., TBR1, SCN1A, MAGEL2, and CACNB4) and cortical distribution across regions devoted to integrating visual and motor information (i.e., the lateral occipital cortex, OP4, and intraparietal sulcus). We suggest this altered gene expression may underlie brain network dysfunction which, in turn, leads to behavioral deficits.
Early intraneuronal amyloid triggers neuron-derived inflammatory signaling in APP transgenic rats and human brain
Authors: Welikovitch Lindsay A. , Do Carmo Sonia , Maglóczky Zsófia , Malcolm Janice C. , Lőke János , Klein William L. , Freund Tamás , Cuello A. Claudio 
Published: March 2020

Significance
This work provides evidence that soluble and oligomeric amyloid protein stokes neuronal inflammation during the earliest stages of Alzheimer’s disease. Identifying neuron-derived factors that engage the brain’s immune system will provide insight into how vulnerable neurons might interact with other immune cells to propagate cytotoxic signaling cascades and cellular dysfunction during disease development.
Effect of pronunciation instruction on L2 learners’ listening comprehension
Authors: Dao Phung , Nguyen Mai Xuan Nhat Chi , Nguyen Ngoc Bao Chau 
Published: March 2020

Abstract
This study explored the potential impact of pronunciation instruction on L2 listening comprehension. Seventy-two
intermediate Vietnamese EFL university learners formed two groups. The pronunciation group (n = 35) received
seven weekly 45-minute pronunciation instruction sessions targeting segmental and suprasegmental features of English. The control
group (n = 37) did not receive any pronunciation instruction. Weekly reflections, an exit questionnaire and focus
group interviews were used to investigate learners’ perceptions of the impact of the pronunciation instruction. Results showed
that the two groups’ immediate listening post-test scores did not differ significantly after the first two sessions on syllables
and consonants/vowels. However, the pronunciation group outperformed the control group after three further pronunciation sessions
on word stress, thought groups and sentence focus, but these differences disappeared on subsequent immediate and delayed
post-tests. Self-report data indicated learners’ positive perceptions of the helpfulness of the pronunciation instruction and how
the gained pronunciation knowledge helped improve their listening comprehension.
Reconciling dialogue and propagation
Authors: Cooren François 
Published: March 2020

AbstractDialoguing is aboutco-orientingto various elements of a situation, that propagate themselves in what people say and do. In other words, each time people talk about an element of a situation, whether it is the weather, the economy, or the declaration of a presidential candidate, it is, by definition, a way for it to transport itself through time and space, which is the essence of propagation. Language must therefore be rethought as something that not only allows us, but also other things to do things with words. More generally, communication, whether verbal or non-verbal, must be understood as a process by which everything or everyone can always become a medium, sign or intermediary through which other elements propagate, diffuse or disseminate themselves.
After mobilization
Authors: Ip Iam-chong 
Published: March 2020

AbstractMy research addresses how social actors “act upon” social change by generating self-interpretation and representation of social life on the one hand and control over values and cultural orientations against the authorities on the other. While the existing literature on social movements overemphasizes the moments of mobilization, this article examines the intersections of social activism, online curative practices, and their everyday life. For this article, I opted to depict three representative cases of Hong Kong young activists who joined the Umbrella Movement in 2014. I argue that despite their similar political experiences, there are three divergent forms of agency embodied in their cultural representations. They figure in contestations which increasingly alienate the politicized crowd from civil society and the establishment.
Analysis of population dynamics and chaos theory
Authors: Figueroa W , Prada D , Vera P , Gomez J , Montes E , Bautista G 
Published: March 2020

Abstract
Population growth is a topic of great interest to biologists, epidemiologists, ecologists, microbiologists and bioanalysts. Describing the dynamics of a population system through mathematical models is very useful in order to predict the behavior of the study population. Chaos theory supports studies of this type through the analysis of the logistic equation which allows observing this behavior under the variation of the constant k that represents the rate of increase in the number of times of the population values in a given time and the orbit diagram that summarizes the asymptotic behavior of all orbits in which we have values of k between zero and four. These models work with discrete time under measurement by iteration in observation and not continuously. The objective is to show the relationship of the logistic equation and the orbit diagram with the Feigenbaum constant in order to show the order that exists in the population dynamics.
Power quality detection and classification using wavelet and support vector machine
Authors: Garrido-Arévalo V M , Gil-González W , Holguin M 
Published: March 2020

AbstractThis work presents the identification and classification of various disturbances that affect the quality of energy, seen as the quality of the voltage wave (harmonics, sag, swell and flicker). For this, the wavelet transform is used, which allows to have characteristic patterns as input signals of the support vector machine, these are evaluated in their different configurations, bi-class, minimum output coding, error correcting output and one versus all. For all of them, in the first instance they were trained with 200 samples, then the results were validated with 100 samples and finally the evaluation was made with 500 different samples, obtaining that the best result is presented with the minimum output coding configuration.
Use of deep learning algorithms for real-time detection of vessels in confined spaces using the Tensorflow framework
Authors: Sánchez S A , Campillo J , Martínez-Santos J C 
Published: March 2020

Abstract
Over 4515 small boat accidents were registered in the United State of America in 2012, resulting in 651 causalities and 22% of the accidents took place between two boats. It is, therefore, one of the most interesting applications for image analysis and recognition using deep learning, collision avoidance in passenger boats. Advances in parallel computing, graphic processing unit technology and deep learning have facilitated real-time image processing. The main objective of this study was to compare the performance metrics for different deep learning algorithms using pre-trained data sets. The algorithms used were: faster region-based convolutional neural networks, region-based fully convolutional network, and single shot multibox detector using the feature extractors: residual neural network, inception and convolutional neural networks for mobile vision applications to detect generic boats in confined waterways. These models were coded in Python programming language, using the framework Tensorflow and OpenCV library for image processing. The algorithms were pre-trained using the free images database posted on the web, Microsoft COCO. The use of these pre-trained models allowed making use of computers without graphic processing unit. As a result, it was found that the faster region-based convolutional neural networks and region-based fully convolutional network method compared to the single shot multibox detector method offer a small advantage precision if speed detection is not required, but the single shot multibox detector method is useful for case detectors in real time, however it did not perform as accurate when detecting small objects.
Use of network theory to model water quality parameters in a hydrological network
Authors: Zuluaga V , García J M , Mesa M J , Acosta-Minoli C A 
Published: March 2020

Abstract
In this work we model and simulate water quality parameters in a hydrological network by using a methodology based on network theory and differential equations. We build the Quindío river hydrological network based on network theory using the Gephi software, the maps from “Instituto Geográfico de Colombia Agustin Codazzi” and data reported from “Coorporacion Autónoma Regional del Quindío”. Then, we modelled three water quality parameters using differential equations at each node of the network, these are total coliforms, biochemical oxygen demand, and dissolved oxygen. As a result of the simulations, we found high levels of pollution in the area where there is a presence of human settlements and the local industry. Finally, results also showed a possible relationship between the three parameters studied, mainly due to the high concentrations in the same area of the basin.