bluuebunny/crossref_metadata_2025_split huggingface dataset:
Architecture for the management of a remote practical learning platform for engineering education
Authors: Segura-Torres D A , Forero-García E F 
Published: May 2019

Abstract
In the Scientific, Technological and Academic environment in which the world of today is developed, it is important to permanently update the instruments, platforms and elements with which educational requirements are met. In this sense, engineering is one of the disciplines with the greatest changes, emergencies and innovations per unit of time. Learning tools therefore require constant evolution to facilitate the appropriation of knowledge in an easy and continuously available way for students and teachers. So far it is clear that the intervention of laboratory practices as learning strategies, guarantee a solid education for students in engineering. These practices are the scenarios where the student verifies the theoretical knowledge and validates with real results the application of mathematical and statistical models, which are set around a specific learning in engineering. Continue the development of these activities not only in a traditional way, but including innovations that the same engineering allows from the use of different technologies is a challenge, which can be assumed with the application of the same discipline and be projected to other fields of the education, to facilitate personalized and asynchronous learning. This paper presents the design and architecture for the implementation and management of a new educational platform for the development of Remote Practical Learning experiences for electrical machine laboratories. This platform integrates the possibility of remote interaction with the machine and its connection, as well as obtaining test parameters through measurement interfaces and real-time visualization. In this way engineering and technology at the service of Engineering Education is used, which will increase access to higher education to a greater number of people and will make the educational experience much more pleasant
Use of Augmented Reality for the Simulation of Basic Mechanical Physics Phenomena
Authors: Morales A D , Sanchez S A , Pineda C M , Romero H J 
Published: May 2019

Abstract
The augmented reality (AR), has been cataloged like the technology that will have greater penetration in the education sector in the second decade of the XXI century. According to the report horizon 2016, the first research of AR in education point out a positive impact, in collaborative learning and autonomous learning; because it allows potentiating reality with virtual information that can be supported in curricular contents. The present article exposes the development of a prototype with AR technology that simulates the uniform rectilinear movement and free fall of the subject of mechanical physics. The research is of technological development type. Included in three phases: Initially the functional and non-functional requirements were determined, then the architecture was designed using UML diagrams and finally the prototype was developed. As a result, we obtained a mobile prototype with AR with two functions, the first one allows to simulate the movement of a vehicle at a constant speed, the second allows to simulate the fall of objects that are being attracted by gravity. A technical feasibility study was carried out in which the prototype was installed in different mobile devices, without errors. It is concluded that AR has several characteristics that can be applied to educational environments to increase students’ motivation and make them live experiences that are limited access in classrooms.
Overview of Data Governance in Business Contexts
Authors: Jimenez L M , Polo J A , Duarte N A 
Published: May 2019

Abstract
Taking into account the amount of information that is currently handled in business contexts, it is mandatory to develop a good data governance program. It guarantees that all the information is available to the company when it needs it, as it needs it and where it needs it. Through this data governance, the main goal is to increase profits, decrease costs, improve knowledge management and interact with customers, suppliers, employees and processes. Besides, this type of programs are not only part of a section in the company, but also they must have a transversal collaboration to all the technology and business teams. During the first stage of this research, it seeks to perform a review of the state of the art on the data governance. It allows to unify criteria through a reference item later, to provide a tool that helps companies to support the information necessities through the development of data governance projects that respond to business needs and strategic decision making.
Information Systems as Support for Competency-Based Assessment Process
Authors: Contreras M S 
Published: May 2019

Abstract
Possessing enough and timely information about a process or product and being able to organize and display it efficiently, is a determining factor for decision making in organizations. Educational institutions are not alien to this principle and use different strategies to manage it. Nowadays, the Information and Communication Technologies (ICT) are commonly used to support the evaluation process by competences, to identify strengths and weaknesses and to analyze and reports the results, in order to monitor student performance and apply improvement plans.
This paper shows an analysis of some influential factors in the development of academic reports for basic education institutions, through the implementation of an Information System that provides global and sectional statistics, extracts relevant information on the individual and group performance, simplifies reading and analysis of the data provided, allows the presentation of data in numerical, qualitative and graphical form, highlights the points that move away from the average, among other useful functions.
Spatio-temporal structure of a petawatt femtosecond laser beam
Authors: Jeandet Antoine , Borot Antonin , Nakamura Kei , Jolly Spencer W , Gonsalves Anthony J , Tóth Csaba , Mao Hann-Shin , Leemans Wim P , Quéré Fabien 
Published: May 2019

Abstract
The development of optical metrology suited to ultrafast lasers has played a key role in the progress of these light sources in the last few decades. Measurement techniques providing the complete E-field of ultrashort laser beams in both time and space are now being developed. Yet, they had so far not been applied to the most powerful ultrashort lasers, which reach the PetaWatt range by pushing the chirped pulse amplification (CPA) scheme to its present technical limits. This situation left doubts on their actual performance, and in particular on the peak intensity they can reach at focus. In this article we present the first complete spatio-temporal characterization of a PetaWatt femtosecond laser operating at full intensity, the BELLA laser, using two recently-developed independent measurement techniques. Our results demonstrate that, with adequate optimization, the CPA technique is still suitable at these extreme scales, i.e. it is not inherently limited by spatio-temporal couplings. We also show how these measurements provide unprecedented insight into the physics and operation regime of such laser systems.
Augmented Interval List: a novel data structure for efficient genomic interval search
Authors: Feng Jianglin , Ratan Aakrosh , Sheffield Nathan C 
Published: May 2019

Abstract

Motivation
Genomic data is frequently stored as segments or intervals. Because this data type is so common, interval-based comparisons are fundamental to genomic analysis. As the volume of available genomic data grows, developing efficient and scalable methods for searching interval data is necessary.

Results
We present a new data structure, the Augmented Interval List (AIList), to enumerate intersections between a query interval q and an interval set R. An AIList is constructed by first sorting R as a list by the interval start coordinate, then decomposing it into a few approximately flattened components (sublists), and then augmenting each sublist with the running maximum interval end. The query time for AIList is O(log2N+n+m), where n is the number of overlaps between R and q, N is the number of intervals in the set R and m is the average number of extra comparisons required to find the n overlaps. Tested on real genomic interval datasets, AIList code runs 5–18 times faster than standard high-performance code based on augmented interval-trees, nested containment lists or R-trees (BEDTools). For large datasets, the memory-usage for AIList is 4–60% of other methods. The AIList data structure, therefore, provides a significantly improved fundamental operation for highly scalable genomic data analysis.

Availability and implementation
An implementation of the AIList data structure with both construction and search algorithms is available at http://ailist.databio.org.

Supplementary information
Supplementary data are available at Bioinformatics online.
RBPSponge: genome-wide identification of lncRNAs that sponge RBPs
Authors: HafezQorani Saber , Houdjedj Aissa , Arici Mehmet , Said Abdesselam , Kazan Hilal 
Published: May 2019

Abstract

Summary
Long non-coding RNAs (lncRNAs) can act as molecular sponge or decoys for an RNA-binding protein (RBP) through their RBP-binding sites, thereby modulating the expression of all target genes of the corresponding RBP of interest. Here, we present a web tool named RBPSponge to explore lncRNAs based on their potential to act as a sponge for an RBP of interest. RBPSponge identifies the occurrences of RBP-binding sites and CLIP peaks on lncRNAs, and enables users to run statistical analyses to investigate the regulatory network between lncRNAs, RBPs and targets of RBPs.

Availability and implementation
The web server is available at https://www.RBPSponge.com.

Supplementary information
Supplementary data are available at Bioinformatics online.
Temporal trends in test utilization and prevalence of ischaemia with positron emission tomography myocardial perfusion imaging
Authors: Al Badarin Firas J , Chan Paul S , Spertus John A , Thompson Randall C , Patel Krishna K , Kennedy Kevin F , Bateman Timothy M 
Published: May 2019

Abstract

Aims
To examine whether test utilization and prevalence of ischemia with positron emission tomography (PET) myocardial perfusion imaging (MPI) follow the previously described trends with single photon computed tomography (SPECT).

Methods and results
MPI studies performed between January 2003 and December 2017 were identified. Number of PET and SPECT MPI studies performed per year was determined. Trends in the proportion of studies showing any ischaemia (&gt;0%) with both modalities were compared before and after adjusting for baseline differences in patient characteristics using propensity scores. Interaction between imaging modality and year of testing was examined using modified Poisson regression. A total of 156 244 MPI studies were performed (30% PET and 70% SPECT). Between 2003 and 2017, the number of PET studies increased from 18 to 61 studies/1000 patient encounters, while SPECT volumes declined from 169 to 34/1000 patient encounters (P &lt; 0.001 for within-group comparisons). The prevalence of any ischaemia in SPECT-tested patients declined from 53.9% to 28.3% between 2003 and 2017, whereas ischaemia prevalence in PET-tested patients declined from 57.2% to 38.2% (P &lt; 0.001 for within-modality comparisons), with more PET studies showing ischaemia compared to SPECT [relative risk (RR) 1.44, 95% confidence interval (CI) 1.42–1.47; P &lt; 0.001]. After propensity score matching of 26 066 patients tested with SPECT with 26 066 patients tested with PET, the between-modality difference in ischaemia prevalence was significantly attenuated, with a slightly higher overall likelihood of detecting ischaemia with PET compared to SPECT (RR 1.08, 95% CI 1.05–1.11; P &lt; 0.001).

Conclusions
Utilization of PET MPI at a large-volume referral centre increased significantly between 2003 and 2017. Despite a significant decrease in the prevalence of ischaemia with SPECT and PET during the same period, the decline was less with PET, perhaps related to baseline risk of tested patients.
Prescribing of proton-pump inhibitors: auditing the management and reasons for prescribing in Danish general practice
Authors: Jarbøl Dorte E , Lykkegaard Jesper , Hansen Jane M , Munck Anders , Haastrup Peter F 
Published: May 2019

AbstractBackgroundPrescribing of proton-pump inhibitors has substantially increased. Information from clinical settings is warranted to gain insight into reasons for prescribing.AimTo investigate Danish General Practitioners’ management and reasons for prescribing of proton-pump inhibitors and to identify areas for quality improvement.MethodsAll general practitioners in the Region of Southern Denmark and their staff were invited to participate in a 4-week audit on all contacts with patients prescribed proton-pump inhibitors. For each contact, patient characteristics, treatment duration, dose and causes of treatment, previous gastroscopy, Helicobacter pylori test, and decision about future treatment were recorded.ResultsA total of 51 general practitioners and 47 staff members sampled information about 1101 and 741 patients, respectively. Proton-pump inhibitors had been taken for more than 2 years in 58% of the cases, and 64% of the patients used it daily. Treatment was based on an appropriate reason in three of the four patients, most often due to acid-related symptoms. No gastroscopy had been performed in 46% of the patients, and one of four had had a consultation with the general practitioner regarding proton-pump inhibitor within the last year.ConclusionMost patients treated with proton-pump inhibitors are treated daily, on a long-term basis, and due to symptoms. Few consultations led to alterations in treatment, and only 25% of patients had a consultation regarding proton-pump inhibitor treatment with their general practitioner within the last year. Substantial variability between general practitioners with regard to management was detected.
Generational, Biographical and Life-Course Approaches to the History of the German Labour Movement in the Nineteenth Century*
Authors: Schmidt Jürgen 
Published: May 2019

Abstract
While generational and biographical approaches are well-established methods in historical scholarship, life-course approaches are less prominent. This article seeks to bridge that gap by applying all these methods to an examination of the early membership of the German labour movement in the 1860s and 1870s. It considers whether we can interpret the rise of the labour movement in the nineteenth century as a generational phenomenon and explain it in light of (work) experiences that were life-phase specific. We see that while life-course experiences were more decisive than generational factors for the making of the movement, the retrospective identification of a founding generation was significant for the creation of the identity of a united labour movement in the years of the Kaiserreich.
A low power data transfer and fusion algorithm for building energy consumption monitoring
Authors: Li Cuimin , Shen Dandan , Wang Lei 
Published: May 2019

Abstract
Building Energy Internet of Things could collect and analyse various types of building energy consumption data in real time by means of low-energy consumption and high-precision sensing technology. In this paper, a low-energy consumption data transmission and fusion algorithm SMART-RR (Slice Mix Agg RegaTe-Repeatablibity Reduction) is proposed. Taking advantage of the periodic repeatability and data redundancy of building energy consumption data, a data fusion strategy with unequal long time intervals and adding repeatability reduction factor is proposed. The simulation results show that SMART-RR algorithm is a low-energy data transmission and fusion algorithm with small data traffic, high privacy protection and high accuracy.
On Automorphisms of Moduli Spaces of Parabolic Vector Bundles
Authors: Araujo Carolina , Fassarella Thiago , Kaur Inder , Massarenti Alex 
Published: May 2019

AbstractFix $n\geq 5$ general points $p_1, \dots , p_n\in{\mathbb{P}}^1$ and a weight vector ${\mathcal{A}} = (a_{1}, \dots , a_{n})$ of real numbers $0 \leq a_{i} \leq 1$. Consider the moduli space $\mathcal{M}_{{\mathcal{A}}}$ parametrizing rank two parabolic vector bundles with trivial determinant on $\big ({\mathbb{P}}^1, p_1,\dots , p_n\big )$ that are semistable with respect to ${\mathcal{A}}$. Under some conditions on the weights, we determine and give a modular interpretation for the automorphism group of the moduli space $\mathcal{M}_{{\mathcal{A}}}$. It is isomorphic to $\left (\frac{\mathbb{Z}}{2\mathbb{Z}}\right )^{k}$ for some $k\in \{0,\dots , n-1\}$ and is generated by admissible elementary transformations of parabolic vector bundles. The largest of these automorphism groups, with $k=n-1$, occurs for the central weight ${\mathcal{A}}_{F}= \left (\frac{1}{2},\dots ,\frac{1}{2}\right )$. The corresponding moduli space ${\mathcal M}_{{\mathcal{A}}_F}$ is a Fano variety of dimension $n-3$, which is smooth if $n$ is odd, and has isolated singularities if $n$ is even.
Spectrum of Diversity in Today’s Infectious Diseases Workforce: It’s Much Broader and Brighter Than You Think
Authors: Gil Raul Macias , Hardy W David 
Published: May 2019

Abstract
The spectrum of inclusion, diversity, access, and equity among the Infectious Diseases (ID) workforce is ever-growing, ever-evolving, and continuously benefiting from the contributions made by the unique differences among our workforce which make us stronger, smarter, and better prepared to respond to whatever emerging ID challenge we will encounter next.
Combined targeting of PI3K and MEK effector pathways via CED for DIPG therapy
Authors: Chang Raymond , Tosi Umberto , Voronina Julia , Adeuyan Oluwaseyi , Wu Linda Y , Schweitzer Melanie E , Pisapia David J , Becher Oren J , Souweidane Mark M , Maachani Uday B 
Published: May 2019

Abstract

Background
Midline gliomas like diffuse intrinsic pontine glioma (DIPG) carry poor prognosis and lack effective treatment options. Studies have implicated amplifications in the phosphatidylinositol 3-kinase (PI3K) signaling pathway in tumorigenesis; compensatory activation of parallel pathways (eg, mitogen-activated protein kinase [MEK]) may underlie the resistance to PI3K inhibition observed in the clinic.

Methods
Three patient-derived cell lines (SU-DIPG-IV, SU-DIPG-XIII, and SF8628) and a mouse-derived brainstem glioma cell line were treated with PI3K (ZSTK474) and MEK (trametinib) inhibitors, alone or in combination. Synergy was analyzed using Chou-Talalay combination index (CI). These agents were also used alone or in combination in a subcutaneous SU-DIPG-XIII tumor model and in an intracranial genetic mouse model of DIPG, given via convection-enhanced delivery (CED).

Results
We found that these agents abrogate cell proliferation in a dose-dependent manner. Combination treatments were found to be synergistic (CI &lt; 1) across cell lines tested. They also showed significant tumor suppression when given systemically against a subcutaneous DIPG model (alone or in combination) or when given via direct intracranial injection (CED) in a intracranial DIPG mouse model (combination only, median survival 47 vs 35 days post-induction, P = .038). No significant short- or long-term neurotoxicity of ZSTK474 and trametinib delivered via CED was observed.

Conclusions
Our data indicate that ZSTK474 and trametinib combinatorial treatment inhibits malignant growth of DIPG cells in vitro and in vivo, prolonging survival. These results suggest a promising new combinatorial approach using CED for DIPG therapy, which warrants further investigation.
Rapid intraoperative molecular genetic classification of gliomas using Raman spectroscopy
Authors: Livermore Laurent James , Isabelle Martin , Bell Ian Mac , Scott Connor , Walsby-Tickle John , Gannon Joan , Plaha Puneet , Vallance Claire , Ansorge Olaf 
Published: May 2019

Abstract

Background
The molecular genetic classification of gliomas, particularly the identification of isocitrate dehydrogenase (IDH) mutations, is critical for clinical and surgical decision-making. Raman spectroscopy probes the unique molecular vibrations of a sample to accurately characterize its molecular composition. No sample processing is required allowing for rapid analysis of tissue. The aim of this study was to evaluate the ability of Raman spectroscopy to rapidly identify the common molecular genetic subtypes of diffuse glioma in the neurosurgical setting using fresh biopsy tissue. In addition, classification models were built using cryosections, formalin-fixed paraffin-embedded (FFPE) sections and LN-18 (IDH-mutated and wild-type parental cell) glioma cell lines.

Methods
Fresh tissue, straight from neurosurgical theatres, underwent Raman analysis and classification into astrocytoma, IDH-wild-type; astrocytoma, IDH-mutant; or oligodendroglioma. The genetic subtype was confirmed on a parallel section using immunohistochemistry and targeted genetic sequencing.

Results
Fresh tissue samples from 62 patients were collected (36 astrocytoma, IDH-wild-type; 21 astrocytoma, IDH-mutated; 5 oligodendroglioma). A principal component analysis fed linear discriminant analysis classification model demonstrated 79%–94% sensitivity and 90%–100% specificity for predicting the 3 glioma genetic subtypes. For the prediction of IDH mutation alone, the model gave 91% sensitivity and 95% specificity. Seventy-nine cryosections, 120 FFPE samples, and LN18 cells were also successfully classified. Meantime for Raman data collection was 9.5 min in the fresh tissue samples, with the process from intraoperative biopsy to genetic classification taking under 15 min.

Conclusion
These data demonstrate that Raman spectroscopy can be used for the rapid, intraoperative, classification of gliomas into common genetic subtypes.