bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cavitron Ultrasonic Surgical Aspirator-Assisted Pancreatic Resection in Hyperinsulinism
Authors: Bond Logan , Murrell Zaria , Wright Tiffany , Bond Sheldon 
Published: May 2017

Introduction Diffuse congenital hyperinsulinemia continues to be poorly responsive to medical management. Surgical resection for this entity can be variable in extent and efficacy.
Materials and Methods This report describes a unique method of pancreatic resection for diffuse familial congenital hyperinsulinemia. The procedure maximizes pancreatic parenchymal removal while preserving blood supply to the vital structures adjacent to the head of the pancreas. Two cases of familial congenital hyperinsulinism are presented as well as a review of the current surgical literature.
Results The Cavitron ultrasonic surgical aspirator has been used successfully to assist in maximum resection of pancreatic tissue while preserving blood supply to the duodenum and common bile duct.
Conclusion This report describes a useful technique of maximizing pancreatic resection for patients with diffuse congenital hyperinsulinemia which preserves adjacent vital structures.
Präoperative Vorbereitung: Optimierung pulmonaler Erkrankungen
Authors: Mutlak Haitham , Grünewaldt Achim 
Published: May 2017

ZusammenfassungLungenerkrankungen wie COPD oder Asthma sind bedeutende Risikofaktoren perioperativer pulmonaler Komplikationen. Die Optimierung dieser Erkrankungen ist deshalb wichtiger Bestandteil des präoperativen Managements. Das Wissen um die Pathophysiologie und medikamentöse Therapie ist dabei essenziell.
Krisen bewältigen
Authors: Scheurich Hubert 
Published: May 2017

Zusammenfassung
Interventionskoffer, die Achte Mit dem Resilienztraining können
psychiatrisch Pflegende Patienten in einer schweren psychischen Krise oder mit
einer chronischen psychischen Erkrankung unterstützen. Die Übungen eignen sich
für Einzel- und Gruppeninterventionen.
Sicherheit nach außen, Freizügigkeit nach
innen
Authors: Müller Christoph 
Published: May 2017

Zusammenfassung
Erlebte Geschichte Das forensische Dorf in der LVR-Klinik in Düren feierte
im letzten Herbst sein 30-jähriges Bestehen. Unser Autor hat die Gelegenheit
genutzt, um mit Zeitzeugen zu sprechen.
Gemeinsam lernen
Authors: Heß Ulrike 
Published: May 2017

Zusammenfassung
Interprofessionelle Ausbildungsstation Inwieweit fördert der betriebliche
Lernort „Ausbildungsstation“ die Entwicklung der interprofessionellen Kompetenz
in den Gesundheitsberufen? Dieser Frage ging unsere Autorin im Rahmen ihrer
Bachelorarbeit nach. Sie zeigt Chancen und Barrieren für die Umsetzung des
interprofessionellen Lernens und Lehrens für die Praxis auf und stellt
unterschiedliche Perspektiven zur Implementierung einer interprofessionellen
Ausbildungsstation vor.
Phytochemical Profiling and In Vitro Anticancer Activity of Purified Flavonoids of Andrographis glandulosa
Authors: Cherukupalli Neeraja , Bhumireddy Sudarshana , Akella Subrahmanya , Sataniya Aaysha , Sripadi Prabhakar , Khareedu Venkateswara , Vudem Dashavantha 
Published: May 2017

AbstractThe genus Andrographis includes diverse species of medicinal importance. The present study for the first time unravels the chemical profiling and medicinal importance of an unexplored species, Andrographis glandulosa. LC-MS analysis of A. glandulosa methanolic extract disclosed it as a rich source of flavonoids, with 8 minor peaks and 2 major peaks (m/z 285.0749 and 283.0595). NMR and ESI-MS/MS analyses confirmed the major peaks as (R) 2',5-dihydroxy-7-methoxyflavanone and 2',5-dihydroxy-7-methoxyflavone. Purified compounds exhibited antiproliferative activity on 3 cancer cell lines (HeLa, MIA PaCa and U-87) with IC50 39.81–46.21 µM for flavanone, and 20.84–25.16 µM for flavone. IC50 values of flavone are on a par with that of the positive control quercetin (21.78–26.82 µM). HeLa cells treated with 117 µM flavanone showed a loss of MMP (~55% of cells) resulting in apoptosis (~51% of cells). Treatment with 80 µM flavone caused a loss of MMP (~88% of cells) and induced apoptosis in ~70% of cells proving its efficacy over flavanone. Purified flavonoids exhibited cytotoxicity by disrupting mitochondrial membrane, caspase 3 activation and apoptosis. Purified flavonoids appear as promising natural products for developing cancer therapeutics.
Fatigue bei Multipler Sklerose: Neuronale Korrelate und
Möglichkeiten nicht-invasiver Hirnstimulation mit tDCS
Authors: Ayache Samar S. , Chalah Moussa A. , Kümpfel Tania , Padberg Frank , Lefaucheur Jean-Pascal , Palm Ulrich 
Published: May 2017

ZusammenfassungMultiple Sklerose (MS) ist eine chronisch-progressive inflammatorische Erkrankung
des zentralen Nervensystems und die häufigste Ursache nicht-traumatischer
Funktionseinschränkung bei jungen Erwachsenen. Fatigue ist ein häufiges Symptom,
das von einer Mehrzahl der MS-Patienten während des Krankheitsverlaufs berichtet
wird und ihre Lebensqualität erheblich einschränkt. Trotz ihrer häufigen
Prävalenz und ihrer Bedeutung sind die zugrundeliegenden pathophysiologischen
Mechanismen nicht gut untersucht. Fatigue wird üblicherweise in ein primäre
Fatigue mit aus der Krankheit selbst resultierenden pathologischen Veränderungen
und in eine sekundäre Fatigue als Folge von Krankheitssymptomen, komorbiden
Schlafstörungen, affektiven Störungen und Nebenwirkungen von Medikamenten
eingeteilt. Erkenntnisse aus radiologischen, neurophysiologischen und
endokrinologischen Untersuchungen führten zu Überlegungen, dass es eine
Verbindung zwischen den Symptomen der Fatigue und strukturellen bzw.
funktionellen Veränderungen in verschiedenen neuronalen Netzwerkstrukturen gibt.
Über die letzten Jahre konnte gezeigt werden, dass verschiedene nichtinvasive
Hirnstimulationsverfahren neuronale Netzwerkstrukturen modulieren können,
insbesondere für die transkranielle Gleichstromstimulation (tDCS) konnten in den
letzten Jahren übereinstimmende Ergebnisse nachgewiesen werden, wenngleich die
Datenlage aufgrund des Pilotcharakters der Studien noch dünn ist. In dieser
Übersichtsarbeit werden die neuronalen Korrelate der MS und die Rationale für
den Einsatz der tDCS in der Behandlung der Fatigue dargestellt.
Morinda citrifolia Leaf Extract Suppressed Metastasised Cancer Progression via EGFR and MAPK Pathways
Authors: Lim Swee-Ling , Mustapha Noordin , Goh Yong-Meng , Rahman Heshu , Mohamed Suhaila 
Published: May 2017

Abstract
Morinda citrifolia leaf has anti-inflammatory and immune enhancing effects against lung cancer. The effects of the extract on metastasised lung and liver cancer tissues were compared to Erlotinib (an anticancer drug) for cancer aggression, proliferation, and angiogenesis. Forty Balb/c mice were induced to develop metastatic lung and liver tumours via xenograft subcutaneous injection of non-small cell lung cancer A549 cells (2×107 cells/mouse) into their backs. The extract (150 and 300 mg/kg body weight) and Erlotinib (50 mg/kg body weight) were fed to the mice for 21 days, and the microstructure and mRNA expressions of the tumour tissues were analysed. The extract dose-dependently downregulated RAC-alpha serine/threonine-protein kinase, B cell leukaemia/lymphoma 2, mitogen-activated protein kinase kinase kinase 14, mitogen-activated protein kinase 1, and vascular endothelial growth factor alpha in these tissues. The scopoletin (coumarin) and epicatechin (flavonoid) standardised extract also mitigated the cancerous tissues microstructure changes, and suppressed the tissue remodeling enzyme (matrix metallopeptidase 9) and angiogenesis biomarkers (epidermal growth factor receptor and integrin). The 300 mg extract/kg body weight was more effective than the 50 mg Erlotinib/kg body weight in suppressing the lung and liver tumoor metastasis. The extract inhibited the cancer aggression by interfering with epidermal growth factor receptor and mitogen-activated protein kinase carcinogenesis pathways, and suppressing proliferation, tissue remodelling, and angiogenesis without any observable side effects at the given dose.
Effect of Dichloromethane-Methanol Extract and Tomentin Obtained from Sphaeralcea angustifolia Cell Suspensions in a Model of Kaolin/Carrageenan-Induced Arthritis
Authors: del Pilar Nicasio-Torres María , Serrano-Román Jade , Pérez-Hernández Juanita , Jiménez-Ferrer Enrique , Herrera-Ruiz Maribel 
Published: May 2017

AbstractCell suspension cultures from Sphaeralcea angustifolia produce compounds with anti-inflammatory activity, including scopoletin, tomentin, and sphaeralcic acid. Antiarthritic activity of scopoletin isolated from S. angustifolia and Erycibe obtusifolia wild plants was demonstrated in a complete Freud’s adjuvant-induced arthritis model. In this project, the dichloromethane-methanol extract and tomentin isolated from S. angustifolia cell suspension were evaluated in mice using a kaolin/carrageenan-induced arthritis model. After 9 days of treatment, the anti-inflammatory effect of S. angustifolia dichloromethane-methanol extract was 72% at a dose of 100 mg/kg, a recovery of 55% was observed with methotrexate (5.0 mg/kg), and the anti-inflammatory effect for tomentin was dose-dependent with a median effective dose of 10.32 mg/kg. The concentration of pro-inflammatory cytokines interleukin-1β and tumor necrosis factor alpha in the left joint of groups treated with S. angustifolia dichloromethane-methanol extract and tomentin at different doses was significantly lower than that detected in the group damaged with kaolin/carrageenan, and the concentration of interleukin-10 and interleukin-4 (anti-inflammatory cytokines) was significantly higher. The drop in mean body weight of mice treated with methotrexate (−4.34±0.47 g) was higher in comparison with the kaolin/carrageenan group (−2.40±0.29 g). On the other hand, the mean body weight of mice treated with S. angustifolia dichloromethane-methanol extract (−1.19±0.17 g) was similar, and mice treated with tomentin (0.19±0.11 g) was lower. The dichloromethane-methanol extract and tomentin isolated from S. angustifolia diminished joint edema induced by kaolin/carrageenan, possibly by acting as an immunomodulatory of the inflammatory response.
Aktuelle Änderungen der S3-Leitlinie Maligne Ovarialtumore (Version 2.0 - Oktober 2016)
Authors: Sehouli Jalid , Mahner Sven , Harter Philip , Hilpert Felix , du Bois Andreas , Reuss Alexander , Wagner Uwe 
Published: May 2017

Basierend auf den aktuellen Publikationen zur Tumorgenese, Diagnostik, Therapie und Nachsorge wurde die aktuelle, interdisziplinär und interprofessionell erstellte S3-Leitlinie aktualisiert. Im vorliegenden Artikel werden praxisrelevante Änderungen diskutiert.Besonders wird auf Aspekte des Screenings, Patienteninformation, Prävention, Pathologie, prognostische Faktoren, Pathologie, Operation, Rezidivtherapie sowie Nachsorge und Langzeitüberleben eingegangen.
Day in, day out: pop goes the city
Authors: Redhead Stephen 
Published: May 2017

AbstractToday we are inhabiting an era of accelerated digitized global capitalism, what Slavoj Zizek calls the “new dark ages” and Alain Badiou refers to as the “dialectics of black”. The need is for updated new theorization of this formation and better empirical accounts. This essay looks at the recent development of digital leisure cultures around popular music in Manchester (UK) especially since the global financial crisis, which still permeates our globe in unforseen ways. This understanding of the contours of a rapidly accelerated digitized capitalism utilizes various resources. Building on this idea this article argues that what we see as “claustropolitanism” (the feeling that we want to escape the planet because we are now so foreclosed) is fast becoming a post-crash cultural condition spreading globally. For Paul Virilio, who is claustrophobic, Joy Division’s mantra “feel it closing in” from “Digital” is personal, but the mediatised global pop culture is also experiencing the same feeling. This paper draws on the author’s long-term empirical research into the city of Manchester and its popular cultural history to tease out some theoretical implications for the study of digital society and capitalism in general.
Changes in perceptual sensitivity related to spatial cues depends on subcortical activity
Authors: Lovejoy Lee P. , Krauzlis Richard J. 
Published: May 2017

Significance
Our paper addresses an important question about the brain circuits for visual spatial attention: what are the mechanisms that make it possible to focus on some visual objects and ignore others? Recent work suggests that cortical and subcortical areas might make distinct contributions to attention: some cortical areas may be responsible for changes in perceptual sensitivity whereas other cortical and subcortical areas may control how subjects select between visual objects. Contrary to this suggestion, our results demonstrate that activity from a subcortical structure in the primate, the superior colliculus, is also necessary to produce changes in perceptual sensitivity in an attention-cueing paradigm. Thus, attention-related changes in perceptual sensitivity are not accomplished by cortical areas alone but also depend on subcortical signals.
Reassessment of 20th century global mean sea level rise
Authors: Dangendorf Sönke , Marcos Marta , Wöppelmann Guy , Conrad Clinton P. , Frederikse Thomas , Riva Riccardo 
Published: May 2017

Significance
Estimates of global mean sea level (GMSL) before the advent of satellite altimetry vary widely, mainly because of the uneven coverage and limited temporal sampling of tide gauge records, which track local sea level rather than the global mean. Here we introduce an approach that combines recent advances in solid Earth and geoid corrections for individual tide gauges with improved knowledge about their geographical representation of ocean internal variability. Our assessment yields smaller trends before 1990 than previously reported, leading to a larger overall acceleration; identifies three major explanations for differences with previous estimates; and reconciles observational GMSL estimates with the sum of individually modeled contributions from the Coupled Model Intercomparison Project 5 database for the entire 20th century.
Diet Niche Width and Individual Specialization of Brook Trout in Adirondack Lakes
Authors: Jirka Kurt J. , Kraft Clifford E. 
Published: May 2017

AbstractWe evaluated diet niche width, individual diet specialization, and diet composition in six lake populations of Brook Trout Salvelinus fontinalis, a generalist predator known to exhibit benthic and pelagic trophic specialization. Population diet niche width was broad and similar across all lakes, contrasting with that of individual fish, which exhibited specialized diets in comparison with their population and other individuals. Overall, the degree of individual diet specialization was high compared with that of other fishes. The degree of individual diet specialization did not differ among study populations, although it was generally reduced in spring. Individual diet specialization was consistent across fish sizes despite observed shifts in diet composition with increasing fish length. Population diet composition varied among lakes but was consistent within lakes in all years during the 3‐year study period with regard to season and fish size. The consistency and stability in measures of population diet niche width, degree of individual diet specialization, and population diet composition for Brook Trout indicate that these metrics provide useful tools for characterizing fish foraging and measuring how it changes in response to biotic and abiotic perturbations.Received August 11, 2016; accepted January 20, 2017 Published online May 22, 2017
CRISPRcloud: a secure cloud-based pipeline for CRISPR pooled screen deconvolution
Authors: Jeong Hyun-Hwan , Kim Seon Young , Rousseaux Maxime W C , Zoghbi Huda Y , Liu Zhandong 
Published: May 2017

Abstract

Summary
We present a user-friendly, cloud-based, data analysis pipeline for the deconvolution of pooled screening data. This tool, CRISPRcloud, serves a dual purpose of extracting, clustering and analyzing raw next generation sequencing files derived from pooled screening experiments while at the same time presenting them in a user-friendly way on a secure web-based platform. Moreover, CRISPRcloud serves as a useful web-based analysis pipeline for reanalysis of pooled CRISPR screening datasets. Taken together, the framework described in this study is expected to accelerate development of web-based bioinformatics tool for handling all studies which include next generation sequencing data.

Availability and implementation
http://crispr.nrihub.org

Supplementary information
Supplementary data are available at Bioinformatics online.
DNA sequence+shape kernel enables alignment-free modeling of transcription factor binding
Authors: Ma Wenxiu , Yang Lin , Rohs Remo , Noble William Stafford 
Published: May 2017

AbstractMotivationTranscription factors (TFs) bind to specific DNA sequence motifs. Several lines of evidence suggest that TF-DNA binding is mediated in part by properties of the local DNA shape: the width of the minor groove, the relative orientations of adjacent base pairs, etc. Several methods have been developed to jointly account for DNA sequence and shape properties in predicting TF binding affinity. However, a limitation of these methods is that they typically require a training set of aligned TF binding sites.ResultsWe describe a sequence + shape kernel that leverages DNA sequence and shape information to better understand protein-DNA binding preference and affinity. This kernel extends an existing class of k-mer based sequence kernels, based on the recently described di-mismatch kernel. Using three in vitro benchmark datasets, derived from universal protein binding microarrays (uPBMs), genomic context PBMs (gcPBMs) and SELEX-seq data, we demonstrate that incorporating DNA shape information improves our ability to predict protein-DNA binding affinity. In particular, we observe that (i) the k-spectrum + shape model performs better than the classical k-spectrum kernel, particularly for small k values; (ii) the di-mismatch kernel performs better than the k-mer kernel, for larger k; and (iii) the di-mismatch + shape kernel performs better than the di-mismatch kernel for intermediate k values.Availability and implementationThe software is available at https://bitbucket.org/wenxiu/sequence-shape.git.Supplementary informationSupplementary data are available at Bioinformatics online.
ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data
Authors: Gardeux Vincent , David Fabrice P A , Shajkofci Adrian , Schwalie Petra C , Deplancke Bart 
Published: May 2017

Abstract

Motivation
Single-cell RNA-sequencing (scRNA-seq) allows whole transcriptome profiling of thousands of individual cells, enabling the molecular exploration of tissues at the cellular level. Such analytical capacity is of great interest to many research groups in the world, yet these groups often lack the expertise to handle complex scRNA-seq datasets.

Results
We developed a fully integrated, web-based platform aimed at the complete analysis of scRNA-seq data post genome alignment: from the parsing, filtering and normalization of the input count data files, to the visual representation of the data, identification of cell clusters, differentially expressed genes (including cluster-specific marker genes), and functional gene set enrichment. This Automated Single-cell Analysis Pipeline (ASAP) combines a wide range of commonly used algorithms with sophisticated visualization tools. Compared with existing scRNA-seq analysis platforms, researchers (including those lacking computational expertise) are able to interact with the data in a straightforward fashion and in real time. Furthermore, given the overlap between scRNA-seq and bulk RNA-seq analysis workflows, ASAP should conceptually be broadly applicable to any RNA-seq dataset. As a validation, we demonstrate how we can use ASAP to simply reproduce the results from a single-cell study of 91 mouse cells involving five distinct cell types.

Availability and implementation
The tool is freely available at asap.epfl.ch and R/Python scripts are available at github.com/DeplanckeLab/ASAP.

Supplementary information
Supplementary data are available at Bioinformatics online.
M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic
Authors: Zambrano-Vega Cristian , Nebro Antonio J , García-Nieto José , Aldana-Montes José F 
Published: May 2017

Abstract

Motivation
Multiple sequence alignment (MSA) is an NP-complete optimization problem found in computational biology, where the time complexity of finding an optimal alignment raises exponentially along with the number of sequences and their lengths. Additionally, to assess the quality of a MSA, a number of objectives can be taken into account, such as maximizing the sum-of-pairs, maximizing the totally conserved columns, minimizing the number of gaps, or maximizing structural information based scores such as STRIKE. An approach to deal with MSA problems is to use multi-objective metaheuristics, which are non-exact stochastic optimization methods that can produce high quality solutions to complex problems having two or more objectives to be optimized at the same time. Our motivation is to provide a multi-objective metaheuristic for MSA that can run in parallel taking advantage of multi-core-based computers.

Results
The software tool we propose, called M2Align (Multi-objective Multiple Sequence Alignment), is a parallel and more efficient version of the three-objective optimizer for sequence alignments MO-SAStrE, able of reducing the algorithm computing time by exploiting the computing capabilities of common multi-core CPU clusters. Our performance evaluation over datasets of the benchmark BAliBASE (v3.0) shows that significant time reductions can be achieved by using up to 20 cores. Even in sequential executions, M2Align is faster than MO-SAStrE, thanks to the encoding method used for the alignments.

Availability and implementation
M2Align is an open source project hosted in GitHub, where the source code and sample datasets can be freely obtained: https://github.com/KhaosResearch/M2Align.

Supplementary information
Supplementary data are available at Bioinformatics online.
A fast and exhaustive method for heterogeneity and epistasis analysis based on multi-objective optimization
Authors: Li Xiong 
Published: May 2017

Abstract

Motivation
The existing epistasis analysis approaches have been criticized mainly for their: (i) ignoring heterogeneity during epistasis analysis; (ii) high computational costs; and (iii) volatility of performances and results. Therefore, they will not perform well in general, leading to lack of reproducibility and low power in complex disease association studies. In this work, a fast scheme is proposed to accelerate exhaustive searching based on multi-objective optimization named ESMO for concurrently analyzing heterogeneity and epistasis phenomena. In ESMO, mutual entropy and Bayesian network approaches are combined for evaluating epistatic SNP combinations. In order to be compatible with heterogeneity of complex diseases, we designed an adaptive framework based on non-dominant sort and top k selection algorithm with improved time complexity O(k*M*N). Moreover, ESMO is accelerated by strategies such as trading space for time, calculation sharing and parallel computing. Finally, ESMO is nonparametric and model-free.

Results
We compared ESMO with other recent or classic methods using different evaluating measures. The experimental results show that our method not only can quickly handle epistasis, but also can effectively detect heterogeneity of complex population structures.

Availability and implementation
https://github.com/XiongLi2016/ESMO/tree/master/ESMO-common-master.