cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Horizon Scanning im Gesundheitswesen – wo steht Deutschland?
Creators: name: Krabbe, Laura
name: Buchberger, Barbara
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Epidemiologie
subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Einleitung: Entscheidungsträger im Gesundheitswesen handeln in einem Spannungsfeld, in dem Erwartungen steigen, neue nutzenbringende Technologien so schnell wie möglich verfügbar zu machen, Patienten vor gefährlichen oder unwirksamen Technologien zu schützen und im Zuge dessen[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
sj-pdf-1-vet-10.1177_03009858231214024 – Supplemental material for Naturally acquired equine parvovirus-hepatitis is associated with a wide range of hepatic lesions in horses
Creators: name: Jager, Mason C.
name: Choi, Eunju
name: Tomlinson, Joy E.
name: Van de Walle, Gerlinde
Publisher: name: SAGE Journals
Year: 2023
Subjects: Pharmacology and Pharmaceutical Sciences not elsewhere classified
Veterinary Medicine

description: Supplemental material, sj-pdf-1-vet-10.1177_03009858231214024 for Naturally acquired equine parvovirus-hepatitis is associated with a wide range of hepatic lesions in horses by Mason C. Jager, Eunju Choi, Joy E. Tomlinson and Gerlinde Van de Walle in Veterinary Pathology
sj-docx-1-msj-10.1177_13524585231216007 – Supplemental material for The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment
Creators: name: Van Laethem, Delphine
name: Denissen, Stijn
name: Costers, Lars
name: Descamps, Annabel
name: Baijot, Johan
name: Van Remoortel, Ann
name: Van Merhaegen-Wieleman, Annick
name: D’hooghe, Marie B
name: D’Haeseleer, Miguel
name: Smeets, Dirk
name: Sima, Diana M
name: Van Schependom, Jeroen
name: Nagels, Guy
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Aged Health Care

description: Supplemental material, sj-docx-1-msj-10.1177_13524585231216007 for The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment by Delphine Van Laethem, Stijn Denissen, Lars Costers, Annabel Descamps, Johan Baijot, Ann Van Remoortel, Annick Van Merhaegen-Wieleman, Marie B D’hooghe, Miguel D’Haeseleer, Dirk Smeets, Diana M Sima, Jeroen Van Schependom and Guy Nagels in Multiple Sclerosis Journal
Additional file 1 of Pan-cancer analysis of NUP155 and validation of its role in breast cancer cell proliferation, migration, and apoptosis
Creators: name: Wang, Zi-qiong
name: Wu, Zhi-xuan
name: Wang, Zong-pan
name: Bao, Jing-xia
name: Wu, Hao-dong
name: Xu, Di-yan
name: Li, Hong-feng
name: Xu, Yi-Yin
name: Wu, Rong-xing
name: Dai, Xuan-xuan
Publisher: name: figshare
Year: 2024
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1:  The original blots of western blotting.
sj-docx-4-gqn-10.1177_23333936231218843 – Supplemental material for Being a “Warrior” to Care for the New Family: A Meta-ethnography of Nurses’ Perspectives on Municipal Postnatal Healthcare
Creators: name: Høgmo, Bente Kristin
name: Alstveit, Marit
name: Bondas, Terese
Publisher: name: SAGE Journals
Year: 2023
Subjects: Nursing not elsewhere classified

description: Supplemental material, sj-docx-4-gqn-10.1177_23333936231218843 for Being a “Warrior” to Care for the New Family: A Meta-ethnography of Nurses’ Perspectives on Municipal Postnatal Healthcare by Bente Kristin Høgmo, Marit Alstveit and Terese Bondas in Global Qualitative Nursing Research
Additional file 2 of Pan-cancer analysis of NUP155 and validation of its role in breast cancer cell proliferation, migration, and apoptosis
Creators: name: Wang, Zi-qiong
name: Wu, Zhi-xuan
name: Wang, Zong-pan
name: Bao, Jing-xia
name: Wu, Hao-dong
name: Xu, Di-yan
name: Li, Hong-feng
name: Xu, Yi-Yin
name: Wu, Rong-xing
name: Dai, Xuan-xuan
Publisher: name: figshare
Year: 2024
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 2: Supplementary figure 1. The correlation between NUP155 expression and the pathological or clinical stages of cancers, including (A) ACC, (B) KICH, (C) KIRC, (D) KIRP, (E) LIHC, (F) OV, (G) SKCM, (H) UCS.
title: Gomorra-eine linguistische Analyse
Creators: name: Reiter, Doris Gerlinde
Year: 2009

description: Diese Diplomarbeit befasst sich mit der linguistischen Textanalyse des Buches Gomorra. Viaggio all’interno dell’impero economico e nel sogno di dominio della camorra des neapolitanischen Autors und Journalisten Roberto Saviano. die Analyse befasst sich mit der Umlegung der Theorie auf die Praxis. Besonderes Augenmerk wurde auf die verwendung der Sprache gerichtet: welche dialektalen Ausdrücke, welche Fremdwörter, welcher Jargon und welche Fachausdrücke finden sich im Werk. Ebenso wurden unter anderem die rhetorischen Figuren behandelt, örtliche und zeitliche Hintergründe ermittelt und eine Kontextualisierung vorgenommen.
description: This thesis analyses Roberto Savianos Gomorra, where i brought the theroretic linguistic to a practical analysis. The most important fact is how he used the language in his book: did he use dialectic expressions, jargon, rhetoric, and so on.
sj-docx-1-aut-10.1177_13623613231217056 – Supplemental material for Evaluating measures to assess loneliness in autistic adults
Creators: name: Grace, Kana
name: Remington, Anna
name: Davies, Jade
name: Crane, Laura
Publisher: name: SAGE Journals
Year: 2023
Subjects: Psychology not elsewhere classified
Psychiatry (incl. Psychotherapy)
Public Health and Health Services not elsewhere classified
Education
Special Education and Disability

description: Supplemental material, sj-docx-1-aut-10.1177_13623613231217056 for Evaluating measures to assess loneliness in autistic adults by Kana Grace, Anna Remington, Jade Davies and Laura Crane in Autism
title: Towards sustainable research data management in advanced light microscopy
Creators: name: Henke, Christian
name: Kusch, Harald
name: Marzec, Bartlomiej
name: Nussbeck, Sara Yasemin
name: Umbach, Nadine
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Introduction: Recent fundamental enhancements in advanced light microscopy (ALM) raises new opportunities to answer biomedical research questions [ref:1]. However, the speed of technological advances clearly outperforms an adequate management of the resulting research data. Thus, there is [zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
title: Tumour marker prognostic studies:  Evidence for poor reporting and its effect on data synthesis
Creators: name: Sekula, Peggy
name: Mallett, Susan
name: Pressler, Julia
name: Schmitz-Dräger, Bernd
name: Goebell, Peter
name: Altman, Douglas G
name: Sauerbrei, Willi
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Biometrie
subject: Epidemiologie
subject: 610 Medical sciences; Medicine

description: Although biomarkers are perceived as highly relevant for future clinical practice, few biomarkers reach clinical utility for several reasons. Among them, poor reporting of studies is one of the major problems. With respect to tumour marker prognostic studies, a survey provided evidence on the poor situation[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
A formal framework for data-aware process interaction models
Creators: name: Knuplesch, David
name: Pryss, Rüdiger
name: Reichert, Manfred
Publisher: name: Universität Ulm
Year: 2016
Subjects: subject: Business process management
subject: Collaborative workflows
subject: Data-aware process models
subject: Distributed workflows
subject: Interaction modeling
subject: Interaction nets
subject: Realizability
subject: Soundness
subject: DDC 004 / Data processing & computer science
subject: Workflow; Management
subject: Prozessmanagement

description: IT support for distributed and collaborative workflows as well as related interactions between business partners are becoming increasingly important. For modeling such partner interactions as flow of message exchanges, different topdown approaches, covered under the term interaction modeling, are provided. Like for workflow models, correctness constitutes a fundamental challenge for interaction models, e.g., to ensure the boundedness and absence of deadlocks and lifelocks. Due to their distributed execution, in addition, interaction models should be message-deterministic and realizable, i.e., the same conversation (i.e. sequence of messages) should always lead to the same result, and it should be ensured that partners always have enough information about the messages they must or may send in a given context. So far, most existing approaches have addressed correctness of interaction models without explicitly considering the data exchanged through messages and used for routing decisions. However, data support is crucial for collaborative workflows and interaction models respectively. This technical report enriches interaction models with the data perspective. In particular, it defines the behavior of data-aware interaction models based on Data-Aware Interaction Nets, which use elements of both Interaction Petri Nets and Workflow Nets with Data. Finally, formal correctness criteria for Data-Aware Interaction Nets are derived, guaranteeing the boundedness and absence of deadlocks and lifelocks, and ensuring message-determinism as well as realizability.
title: Einführung in das EQUATOR (Enhancingthe QUAlity and Transparency Of health Research) network und Überblick über die Reporting Guidelines
Creators: name: Blümle, Anette
name: Kunzweiler, Katharina
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Biometrie
subject: Bioinformatik
subject: Epidemiologie
subject: Medizinische Dokumentation
subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Klinische Studien dienen dazu, die Wirksamkeit und Sicherheit medizinischer Maßnahmen zu evaluieren oder andere ungeklärte, z.B. diagnostische Fragestellungen zu untersuchen. Nicht jede klinische Studie wird jedoch optimal geplant, durchgeführt und ausgewertet und ist somit einem Risiko[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
title: Who should be empowered for an efficient first diagnosis? Patient or general practitioner?
Creators: name: Deng, Yihan
name: Bürkle, Thomas
name: Denecke, Kerstin
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: A precise and timely first diagnosis can largely increase the effectiveness of the treatment and reduce the readmission and the healthcare costs. From the first sign of illness to the willingness of help seeking, a patient has also undergone a serial of inner struggle with uncertainty. The first diagnosis[for full text, please go to the a.m. URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
title: Auf dem Weg zu einem entscheidungsunterstützenden System zur Behandlung von   Patienten mit Diabetischem Fußsyndrom
Creators: name: Hüsers, Jens
name: Heggemann, Jan
name: Hafer, Guido
name: Wiemeyer, Stefan
name: Hübner, Ursula
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Epidemiologie
subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Einleitung: Das Diabetische Fußsyndrom (DFS) ist eine Komplikation des Diabetes Mellitus welche zur Amputation der betroffenen Extremität führen kann [ref:1]. Die frühzeitige Initiierung der richtigen Behandlung, die auch eine Amputation sein kann, ist für den Therapieerfolg[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
Distill, a random forest, xgboost, and deep neural network based ensemble learner, provides class leading DNA variant pathogenicity prediction
Creators: name: McGaughey, David
Publisher: name: F1000 Research Limited
Year: 2018

description: Identification of pathogenic variant(s) from human exome or genome sequencing (WGS) is a crucial and difficult task. With the dramatic reduction in sequencing costs, it is an increasingly common task. Even after filtering for rare coding and splicing variants, numerous prioritized variants remain for most patients.

Current prioritization strategies use a combination of in silico predictions and knowledge of likely deleterious genes for the condition, along with large variety of scoring metrics. Popular metrics include conservation and in silico functionality scores like GERP, SIFT, GERP, CADD, and REVEL. To better guide variant analysis, we use a novel and broad dataset of rare and richly annotated variants to train a mendelian disease DNA variant pathogenicity model.

We curated a machine learning input dataset including a high quality ClinVar pathogenic/benign dataset, 425 solved retinal degeneration WGS cases, and rare variants from gnomAD. The hundreds of thousands of variants were richly annotated with hundreds of variant metrics including constrained coding regions (ccr), ENCODE chromatin data, and other pathogenicity metrics (e.g. REVEL, FATHMM, MetaSVM).

The advantage of this strategy is the use of a broad, curated set of rare benign variants and a richer set of annotations. Our dataset, when used with a random forest and xgboost models to predict DNA variant pathogenicity, highlights ccr, the ExAC missense and loss of function Z-scores, PhyloP, CADD, and gnomAD population metrics as the most crucial scores. We then trained a deep LSTM neural network model and merged it with the random forest and xgboost models to create an ensemble learner, Distill, with class leading pathogenicity prediction across a diverse set of assessment datasets.
title: Möglichkeiten für den Einsatz von Wearables für behandlungsrelevante Fragestellungen – eine Bestandsaufnahme
Creators: name: Bräunel, Bastian
name: Häber, Anke
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Einleitung: Momentan gibt es eine Vielzahl unterschiedlichster Wearables auf dem Markt. Diese tragbaren Kleinstgeräte sind für jedermann frei erhältlich, erschwinglich und können viele verschiedene Vitaldaten messen und aufzeichnen [ref:1]. Einige Prognosen gehen davon [zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
title: A prospective longitudinal study of the implementation of the Swiss electronic patient dossier – experts’ assessment at baseline
Creators: name: Naumann, Laura
name: Hübner, Ursula
name: Babitsch, Birgit
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Background: In Switzerland, the national law about the electronic patient dossier (elektronisches Patientendossiergesetz, EPDG) is taking effect from April 2017 on [ref:1]. The electronic patient dossier (EPD) is a nationwide virtual record that should store patient data in a decentralized[for full text, please go to the a.m. URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
Forecasting electricity consumption in commercial buildings using a machine learning approach
Creators: name: Hwang, Junhwa
name: Suh, Dongjun
name: Otto, Marc-Oliver
Publisher: name: Technische Hochschule Ulm
Year: 2020
Subjects: subject: n/a
subject: DDC 620 / Engineering & allied operations

description: Prediction of electricity consumption is a key research area for efficient power grid operation. Accurate electricity consumption predictions of buildings can prevent power shortages in modern cities, reduce social costs caused by unnecessary energy supply, and support stable and efficient power grid operation. In this study, an electricity consumption prediction model is proposed using open-access data for the monthly and daily electricity consumption of 28 commercial buildings in Seo-gu, Gwangju, South Korea. In the case of the electricity consumption prediction of a building, information about specific parameters that affect energy consumption in target buildings is required. However, inappropriate parameter selection of the prediction model can lead to decreased prediction accuracy. Therefore, we propose a two-step approach to develop a highly accurate electricity consumption prediction model by overcoming the limitations of insufficient information. In the first step, the electricity consumption model of the building is derived by reflecting the characteristics of an individual building that constitutes a building community. In the second step, we use additional information, including the specific building’s features, as well as the energy facility types of the building. Using dynamic-time-warping-based clustering classification, we could infer the energy equipment information of the buildings. We apply the two-step method to develop a prediction model using machine learning methods. In addition, we propose an optimal prediction model by comparing the performance of a traditional time-series analysis technique and machine learning techniques. In this study, the proposed model performs >27.5% better than the existing model. Using the proposed model, it will be possible to accurately predict electricity consumption of commercial buildings, and it can be used as a major guideline for the power supply and demand of buildings and cities.
Multiple trajectory prediction with deep temporal and spatial convolutional neural networks
Creators: name: Strohbeck, Jan
name: Belagiannis, Vasileios
name: Müller, Johannes
name: Schreiber, Marcel
name: Herrmann, Martin
name: Wolf, Daniel
name: Buchholz, Michael
Publisher: name: Universität Ulm
Year: 2021
Subjects: subject: Multiple Trajectory Prediction
subject: Convolutional Neural Networks
subject: Temporal Convolutional Networks
subject: DDC 620 / Engineering & allied operations
subject: Machine learning
subject: Deep learning
subject: Neuronales Netz

description: Automated vehicles need to not only perceive their environment, but also predict the possible future behavior of all detected traffic participants in order to safely navigate in complex scenarios and avoid critical situations, ranging from merging on highways to crossing urban intersections. Due to the availability of datasets with large numbers of recorded trajectories of traffic participants, deep learning based approaches can be used to model the behavior of road users. This paper proposes a convolutional network that operates on rasterized actor-centric images which encode the static and dynamic actor-environment. We predict multiple possible future trajectories for each traffic actor, which include position, velocity, acceleration, orientation, yaw rate and position uncertainty estimates. To make better use of the past movement of the actor, we propose to employ temporal convolutional networks (TCNs) and rely on uncertainties estimated from the previous object tracking stage. We evaluate our approach on the public "Argoverse Motion Forecasting" dataset, on which it won the first prize at the Argoverse Motion Forecasting Challenge, as presented on the NeurIPS 2019 workshop on "Machine Learning for Autonomous Driving".
One social media company to rule them all: associations between use of facebook-owned social media platforms, sociodemographic characteristics, and the big five personality traits
Creators: name: Marengo, Davide
name: Sindermann, Cornelia
name: Elhai, Jon D.
name: Montag, Christian
Publisher: name: Universität Ulm
Year: 2020
Subjects: subject: Facebook
subject: Instagram
subject: WhatsApp
subject: Big Five personality traits
subject: DDC 150 / Psychology
subject: Individual difference
subject: Individuality
subject: Social media
subject: Personality
subject: Social Media
subject: Fünffaktorenmodell der Persönlichkeit
subject: Individualität

description: Currently, 2.7 billion people use at least one of the Facebook-owned social media platforms – Facebook, WhatsApp, and Instagram. Previous research investigating individual differences between users and non-users of these platforms has typically focused on one platform. However, individuals typically use a combination of Facebook-owned platforms. Therefore, we aim (1) to identify the relative prevalence of different patterns of social media use, and (2) to evaluate potential between-group differences in the distributions of age, gender, education, and Big Five personality traits. Data collection was performed using a cross-sectional design. Specifically, we administered a survey assessing participants’ demographic variables, current use of Facebook-owned platforms, and Big Five personality traits. In N = 3003 participants from the general population (60.67% females; mean age = 35.53 years, SD = 13.53), WhatsApp emerged as the most widely used application in the sample, and hence, has the strongest reach. A pattern consisting of a combined use of WhatsApp and Instagram appeared to be most prevalent among the youngest participants. Further, individuals using at least one social media platform were generally younger, more often female, and more extraverted than non-users. Small differences in Conscientiousness and Neuroticism also emerged across groups reporting different combinations of social media use. Interestingly, when examined as control variables, we found demographic characteristics partially accounted for differences in broad personality factors and facets across different patterns of social media use. Our findings are relevant to researchers carrying out their studies via social media platforms, as sample characteristics appear to be different depending on the platform used.
title: Development of patient safety indicators using routine care data
Creators: name: Schaller, Michael
name: Hackl, Werner
name: Ammenwerth, Elske
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Background: Patient safety is an important issue and receiving increasing attention [ref:1]. Information technology (IT) and IT-based strategies can help to improve patient safety in hospitals. Existing approaches are often targeted at detecting patient safety issues (e.g. critical incidence[for full text, please go to the a.m. URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
sj-pdf-1-jtp-10.1177_09516298221130262 - Supplemental material for The political economy of noncompliance in customs unions
Creators: name: Fjelstul, Joshua C.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, sj-pdf-1-jtp-10.1177_09516298221130262 for The political economy of noncompliance in customs unions by Joshua C. Fjelstul in Journal of Theoretical Politics
title: IT-Report 2017 – Eine empirische Bestandsaufnahme des IT-Reifegrades deutscher Krankenhäuser
Creators: name: Esdar, Moritz
name: Hübner, Ursula
name: Weiß, Jan-Patrick
name: Thye, Johannes
name: Rauch, Jens
name: Hüsers, Jens
name: Liebe, Jan-David
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Hintergrund: Mit Blick auf den Verbreitungsgrad von IT gilt der deutsche Krankenhausmarkt im europäischen Vergleich als eher schwach entwickelt [ref:1], [ref:2]. Dabei sollten gerade Krankenhäuser als Informationsdrehscheiben mit einer gut ausgestatteten IT-Infrastruktur[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
title: Evaluation eines IHE-konformen Patientenportals mittels semi-strukturierter Interviews
Creators: name: Daxner, Veronika
name: Saboor, Samrend
name: Schabetsberger, Thomas
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Einleitung: Vom ersten Arztbesuch bis zur vollständigen Genesung durchläuft ein Patient oft mehrere Behandlungsschritte. Ärzte überweisen ihre Patienten, sofern eine Behandlung selbst nicht möglich ist, an die Klinik. Nach der Entlassung aus der ambulanten oder stationärer[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
A mid-Infrared spectroscopy platform based on GaAs/AlGaAs thin-film waveguides and quantum cascade lasers
Creators: name: Sieger, Markus
name: Haas, Julian
name: Jetter, Michael
name: Michler, Peter
name: Godejohann, Matthias
name: Mizaikoff, Boris
Publisher: name: Universität Ulm
Year: 2016
Subjects: subject: Mid-Infrared Spectroscopy
subject: Quantum Cascade Lasers
subject: GaAs/AlGaAs
subject: Thin-film waveguides
subject: DDC 540 / Chemistry & allied sciences
subject: Thin films
subject: Wave guides
subject: Gallium arsenide
subject: Quantenkaskadenlaser
subject: MIR-Spektroskopie
subject: Wellenleiter
subject: Galliumarsenid
subject: AlGaAs

description: The performance and versatility of GaAs/AlGaAs thin-film waveguide technology in combination with quantum cascade lasers for mid-infrared spectroscopy in comparison to conventional FTIR spectroscopy is presented. Infrared radiation is provided by a quantum cascade laser (QCL) spectrometer comprising four tunable QCLs providing a wavelength range of 5–11 μm (1925−885 cm–1) within a single collimated beam. Epitaxially grown GaAs slab waveguides serve as optical transducer for tailored evanescent field absorption analysis. A modular waveguide mounting accessory specifically designed for on-chip thin-film GaAs waveguides is presented serving as a flexible analytical platform in lieu of conventional attenuated total reflection (ATR) crystals uniquely facilitating macroscopic handling and alignment of such microscopic waveguide structures in real-world application scenarios.
Product selectivity in homogeneous artificial photosynthesis using [(bpy)Rh(Cp*)X]n+-based catalysts
Creators: name: Mengele, Alexander
name: Rau, Sven
Publisher: name: Universität Ulm
Year: 2017
Subjects: subject: artificial photosynthesis
subject: product selectivity
subject: reaction mechanism
subject: DDC 540 / Chemistry & allied sciences
subject: Reaction mechanisms (Chemistry)
subject: Rhodium

description: Due to the limited amount of fossil energy carriers, the storage of solar energy in chemical bonds using artificial photosynthesis has been under intensive investigation within the last decades. As the understanding of the underlying working principle of these complex systems continuously grows, more focus will be placed on a catalyst design for highly selective product formation. Recent reports have shown that multifunctional photocatalysts can operate with high chemoselectivity, forming different catalysis products under appropriate reaction conditions. Within this context [(bpy)Rh(Cp*)X]n+-based catalysts are highly relevant examples for a detailed understanding of product selectivity in artificial photosynthesis since the identification of a number of possible reaction intermediates has already been achieved.
Bcl-XL but Not Bcl-2 is a potential target in medulloblastoma therapy
Creators: name: Westhoff, Mike-Andrew
name: Schuler-Ortoli, Marie
name: Zerrinius, Daniela
name: Hadzalic, Amina
name: Schuster, Andrea
name: Strobel, Hannah
name: Scheuerle, Angelika
name: Wong, Tiana
name: Wirtz, Christian Rainer
name: Debatin, Klaus-Michael
name: Peraud, Aurelia
Publisher: name: Universität Ulm
Year: 2022
Subjects: subject: Bcl-2
subject: Bcl-XL
subject: ABT-199 (Venetoclax)
subject: ABT-263 (Navitoclax)
subject: chemotherapy
subject: DDC 610 / Medicine & health
subject: Medulloblastoma; Drug therapy
subject: Apoptosis
subject: Proto-oncogene proteins c-bcl-2
subject: Neuroblastom
subject: Chemotherapie
subject: Apoptosis
subject: BAG-Proteinfamilie

description: Medulloblastoma (MB) is the most common solid tumour in children and, despite current treatment with a rather aggressive combination therapy, accounts for 10% of all deaths associated with paediatric cancer. Breaking the tumour cells’ intrinsic resistance to therapy-induced cell death should lead to less aggressive and more effective treatment options. In other tumour entities, this has been achieved by modulating the balance between the various pro- and anti-apoptotic members of the Bcl-2 family with small molecule inhibitors. To evaluate the therapeutic benefits of ABT-199 (Venetoclax), a Bcl-2 inhibitor, and ABT-263 (Navitoclax), a dual Bcl-XL/Bcl-2 inhibitor, increasingly more relevant model systems were investigated. Starting from established MB cell lines, progressing to primary patient-derived material and finally an experimental tumour system imbedded in an organic environment were chosen. Assessment of the metabolic activity (a surrogate readout for population viability), the induction of DNA fragmentation (apoptosis) and changes in cell number (the combined effect of alterations in proliferation and cell death induction) revealed that ABT-263, but not ABT-199, is a promising candidate for combination therapy, synergizing with cell death-inducing stimuli. Interestingly, in the experimental tumour setting, the sensitizing effect of ABT-263 seems to be predominantly mediated via an anti-proliferative and not a pro-apoptotic effect, opening a future line of investigation. Our data show that modulation of specific members of the Bcl-2 family might be a promising therapeutic addition for the treatment of MB.
sj-docx-2-scm-10.1177_00369330221132158 - Supplemental material for Lasso algorithm and support vector machine strategy to screen pulmonary arterial hypertension gene diagnostic markers
Creators: name: Jiang, Chenyang
name: Jiang, Weidong
Publisher: name: SAGE Journals
Year: 2022
Subjects: Medicine

description: Supplemental material, sj-docx-2-scm-10.1177_00369330221132158 for Lasso algorithm and support vector machine strategy to screen pulmonary arterial hypertension gene diagnostic markers by Chenyang Jiang and Weidong Jiang in Scottish Medical Journal
Additional file 1 of Interventions, methods and outcome measures used in teaching evidence-based practice to healthcare students: an overview of systematic reviews
Creators: name: Nielsen, Lea D.
name: Løwe, Mette M.
name: Mansilla, Francisco
name: Jørgensen, Rene B.
name: Ramachandran, Asviny
name: Noe, Bodil B.
name: Egebæk, Heidi K.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 1.
SeeGEM: Lightweight interactive visualization of DNA sequence variation prioritization
Creators: name: McGaughey, David
Publisher: name: F1000 Research Limited
Year: 2018

description: Identification of genetic variation causing human disease in a proband is a complex process; raw DNA sequence must be aligned to a reference genome, genotypes called from the aligned reads, annotations (e.g. gnomAD, CADD) appended, and family structure (proband, mother, father) delineated.

The most powerful and popular tool for doing the filtering and inheritance pattern testing is the GEMINI tool. However even running GEMINI to filter for DNA variants passing quality control metrics, match proper inheritance patterns (e.grecessive, dominant), and have sufficiently low allele frequency in healthy population(s), a proband will still have dozens to hundreds of possible variants that an analyst must hand assess.

An analyst must balance several different metrics (protein consequence, in silico pathogenicity, etc.) as well as assess whether the sequencing for the trio or cohort has passed technical quality controls. As GEMINI is a command line tool, the output is a dense display of tab separated values filling the computer screen.

To more efficiently aid this manual curation, I have written the R package SeeGEM, which wraps the output from GEMINI into a reactive html document. These portable (no internet required) and compact (usually <2 megabytes) files can also incorporate crucial sequencing quality control metrics from the peddy tool.

The reactive tables can be labeled with color to delineate pathogenicity, the columns and rows can be re-ordered and searched within, and several columns data types can be turned into URLs to facilitate searches of variant information in web resources like OMIM, gnomAD, dbSNP, and Google Scholar. Shortcuts in the header allow for user-specific sets of annotations, which is crucial given that hundreds of annotations are possible for each DNA variant.

The combination of GEMINI, peddy, andSeeGEM provide similar functionality to tools like Seave and VarApp without requiring complicated installation procedures and maintenance of web servers/apps. SeeGEM can be installed and run with only a few commands in R. It has been engineered to be easily integrated into existing DNA analysis pipelines.
sj-pdf-1-pss-10.1177_09567976221110243 – Supplemental material for Radial Bias Alters Perceived Object Orientation
Creators: name: Menceloglu, Melisa
name: Nakayama, Ken
name: Song, Joo-Hyun
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental material, sj-pdf-1-pss-10.1177_09567976221110243 for Radial Bias Alters Perceived Object Orientation by Melisa Menceloglu, Ken Nakayama and Joo-Hyun Song in Psychological Science
Body mass index or waist circumference: which is the better predictor for hypertension and dyslipidemia in overweight/obese children and adolescents? association of cardiovascular risk related to body mass index or waist circumference
Creators: name: Gröber-Grätz, Dagmar
name: Zwaan, Martina De
name: Widhalm, Kurt
name: Reinehr, Thomas
name: Blüher, Susann
name: Schwab, Karl Otfried
name: Wiegand, Susanna
name: Holl, Reinhard
Publisher: name: Universität Ulm
Year: 2013
Subjects: subject: Obesity
subject: Dyslipidemias
subject: Body mass index
subject: Hypertension
subject: Waist circumference
subject: Child
subject: Adolescent
subject: Fettsucht
subject: Hypertonie
subject: Lipidstoffwechselstörung
subject: Kind
subject: Jugend

description: Background: In order to assess the relationship between hypertension or dyslipidemia and obesity, the body mass index (BMI) is usually used. Unlike waist circumference (WC), BMI does not reflect body fat distribution. The aim of this study is to investigate whether BMI or WC is a better predictor of hypertension or dyslipidemia in overweight/obese children and adolescents. Methods: As of November 2012, the APV database contained data on 81,819 patients from 189 specialized pediatric obesity institutions in Germany, Austria and Switzerland. Logistic regression analysis was conducted using odds ratios (OR) with 95% CI. Results: The average age of the youths (n = 5.978) was 13.9 ± 1.8 years. Mean BMI-SDS was 2.0 ± 0.5, and mean WC-SDS was 2.2 ± 0.5. Both BMI-SDS and WC-SDS are significant predictors of hypertension and dyslipidemia: BMI-SDS is a better predictor (OR = 2.60) for hypertension than WC-SDS (OR = 1.85), while WC-SDS (OR = 1.90) was slightly superior to BMI-SDS (OR = 1.86) in predicting adverse lipid profiles. Compared to normal-weight patients, obese patients (BMI ≥97th percentile) exhibited increased systolic (+6.3 mm Hg) and diastolic blood pressure (+3.9 mm Hg). However, this difference was only +4.8 mm Hg (systolic) and +2.6 mm Hg (diastolic) if WC >97th percentile was used. Conclusion: BMI-SDS is more closely associated with hypertension, while WC-SDS is more closely associated with dyslipidemia. However, the additional measurement of WC has only a small benefit in obese youths. © In Copyright http://rightsstatements.org/vocab/InC/1.0/
Additional file 2 of Interventions, methods and outcome measures used in teaching evidence-based practice to healthcare students: an overview of systematic reviews
Creators: name: Nielsen, Lea D.
name: Løwe, Mette M.
name: Mansilla, Francisco
name: Jørgensen, Rene B.
name: Ramachandran, Asviny
name: Noe, Bodil B.
name: Egebæk, Heidi K.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 2.
Mid-infrared thin-film diamond waveguides combined with tunable quantum cascade lasers for analyzing the secondary structure of proteins
Creators: name: Lopez-Lorente, Angela I.
name: Wang, Pei
name: Sieger, Markus
name: Catalan Vargas, Ernesto
name: Karlsson, Mikael
name: Nikolajeff, Fredrik
name: Österlund, Lars
name: Mizaikoff, Boris
Publisher: name: Universität Ulm
Year: 2016
Subjects: subject: Diamond
subject: Waveguides
subject: Infrared sensors
subject: Quantum cascade lasers
subject: Infrared Spectroscopy
subject: Proteins
subject: DDC 540 / Chemistry & allied sciences
subject: Infrared detectors
subject: Infrared spectroscopy
subject: Proteins
subject: Lasers
subject: Wave guides
subject: Diamonds
subject: Infrarotdetektor
subject: Infrarotspektroskopie
subject: Proteine
subject: Quantenkaskadenlaser
subject: Wellenleiter
subject: Diamant
subject: Sekundärstruktur
subject: ATR-Technik

description: Diamond has excellent optical properties including broadband transmissivity, low self-absorption, and a high refractive index, which have prompted its use for optical sensing applications. Thin- film diamond strip waveguides (DSWGs) combined with tunable quantum cascade lasers (tQCLs) providing an emission wave- length range of 5.78–6.35 mm (1735–1570 cm"1) have been used to obtain mid-infrared (MIR) spectra of proteins, thereby enabling the analysis of their secondary structure via the amide I band. Three different proteins were analyzed, namely bovine serum albumin (BSA), myoglobin, and g-globulin. The secondary structure of BSA and myoglobin has a major contribution of a-helices, whereas g-globulins are rich in b-sheet structures, which is reflected in the amide I band. A comparison of the spectra obtained via the combination of the tQCL and DSWG with spectra obtained using conventional Fourier transform infrared (FTIR) spectroscopy and a commercial diamond attenuated total reflection (ATR) element has been performed. It is shown that the main features evident in FTIR-ATR spectra are also obtained using tQCL-DSWG sensors.
Uni Ulm intern - das Ulmer Universitätsmagazin, Nr. 314 (42. Jg.), Februar 2012
Creators: name: (:Unkn) Unknown
Publisher: name: Universität Ulm
Year: 2016
Subjects: subject: Uni Ulm intern
subject: DDC 050 / General serial publications
subject: Universities; Germany; Ulm
subject: Ulm / Universität Ulm

description: N/A
sj-docx-6-hss-10.1177_15563316221129556 – Supplemental material for Impact of Large Database Studies on Orthopedic Surgery Literature: Are We Advancing the Field?
Creators: name: N. Tornberg, Haley
name: Cohen, Jordan S.
name: Gu, Alex
name: Wei, Chapman
name: Mortman, Ryan
name: Sculco, Peter K.
name: Thakkar, Savyasachi C.
name: Campbell, Joshua C.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110323 Surgery
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-6-hss-10.1177_15563316221129556 for Impact of Large Database Studies on Orthopedic Surgery Literature: Are We Advancing the Field? by Haley N. Tornberg, Jordan S. Cohen, Alex Gu, Chapman Wei, Ryan Mortman, Peter K. Sculco, Savyasachi C. Thakkar and Joshua C. Campbell in HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery
Additional file 3 of Interventions, methods and outcome measures used in teaching evidence-based practice to healthcare students: an overview of systematic reviews
Creators: name: Nielsen, Lea D.
name: Løwe, Mette M.
name: Mansilla, Francisco
name: Jørgensen, Rene B.
name: Ramachandran, Asviny
name: Noe, Bodil B.
name: Egebæk, Heidi K.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 3.
Biospectroscopy diagnosis of bacterial interaction with environmental molecules
Creators: name: Li, Hanbing
Publisher: name: Lancaster University
Year: 2018

description: Aims: Bacteria are universal micro-organisms that can be found in almost
      all aquatic and terrestrial environments and strongly affect ecological
      systems at different spatial scales. The activities of bacteria are
      profound on the physicochemical features of natural environments, while
      natural environments shape bacterial behaviours through physical and
      chemical alterations. Different molecules present in the environment
      produce significant effects on bacteria. Therefore, it is required to
      study the rich and complementary interactions between bacteria and
      molecules. In this thesis, four research studies were conducted to
      investigate the interactions between bacteria and nanoparticles or
      carbonaceous substrates, deploying state-of-the-art techniques which can
      yield new insights.

      Methods: Raman micro-spectroscopy was employed in this thesis as a
      diagnostic tool to detect the biochemical alterations of bacteria
      post-exposure to different chemical molecules. Unlike conventional
      methods, such as light/electron microscopy, molecular analysis techniques
      and bacterial behaviour assays, Raman spectroscopy provides detailed
      information of biological constituents of bacteria that interact with
      diverse molecules. In addition, computational analysis including principal
      component analysis and linear discriminant analysis (PCA and LDA) was used
      to process the Raman spectral data.

      Results and Discussion: Raman spectra characterize the interaction between
      bacteria with different molecules. Spectral characterization showed the
      specific binding of nanoparticles with nucleic acids and amino acids in
      bacteria, and the different chemotactic behaviours of bacteria towards
      carbohydrates, organic acids and alkanes. Distinct spectral alterations
      allowed the evaluation of the alkane affinity in bacteria, and enabled
      quantification of the concentrations of glucose or organic acids in the
      aquatic phase. Furthermore, computational analysis of spectral alterations
      illustrated the effects of nutrient cations on alkane affinity in
      bacteria, and indicated the selective affinity of bacteria towards
      different organic carbonaceous molecules in the mixture of carbonaceous
      substances. Findings from this thesis showed that Raman spectroscopy is a
      rapid, reliable and non-destructive approach to investigate the
      interaction of bacterial cells with diverse molecules, which implies
      techniques involved in Raman spectroscopy can diagnose subcellular changes
      both in situ and in vivo post-exposure to different natural conditions or
      chemical molecules.
title: How to Stay within the Care Schedule ? – A Mobile App for Tumor Follow-Up Care
Creators: name: Denecke, Kerstin
name: Dorner, Tim
name: Iseli, Rea Svenja
name: Tschanz, Mauro
name: Mele, Sarah
name: Viehl, Carsten T.
name: Lehmann, Michael
name: Bürkle, Thomas
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Introduction: An increasing prevalence of cancer requires new ways of supporting outpatients and improving their compliance to treatment. Initial mostly surgical treatment is followed by long-term surveillance to detect and treat cancer recurrence timely. Depending on the tumor stage, the frequencies[for full text, please go to the a.m. URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
Additional file 4 of Interventions, methods and outcome measures used in teaching evidence-based practice to healthcare students: an overview of systematic reviews
Creators: name: Nielsen, Lea D.
name: Løwe, Mette M.
name: Mansilla, Francisco
name: Jørgensen, Rene B.
name: Ramachandran, Asviny
name: Noe, Bodil B.
name: Egebæk, Heidi K.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 4.
sj-doc-2-mso-10.1177_20552173221132170 - Supplemental material for Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis
Creators: name: Seyman, Estelle
name: Kim, David
name: Bharatha, Aditya
name: Casserly, Courtney
name: Krysko, Kristen
name: Chantal, Roy-Hewitson
name: Alcaide-Leon, Paula
name: Suthiphosuwan, Suradech
name: Oh, Jiwon
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Neuroscience

description: Supplemental material, sj-doc-2-mso-10.1177_20552173221132170 for Quantitative spinal cord MRI and sexual dysfunction in multiple sclerosis by Estelle Seyman, David Kim, Aditya Bharatha, Courtney Casserly, Kristen Krysko, Roy-Hewitson Chantal, Paula Alcaide-Leon, Suradech Suthiphosuwan and Jiwon Oh in Multiple Sclerosis Journal – Experimental, Translational and Clinical
title: The German Genetic Diagnostics Act (GenDG) as a Barrier for Implementing Pharmacogenomic Clinical Decision Support Systems into German Hospitals
Creators: name: Hinderer, Marc
name: Börries, Melanie
name: Boeker, Martin
name: Neumaier, Michael
name: Loubal, Frank-Peter
name: Acker, Till
name: Brunner, Manfred
name: Prokosch, Hans-Ulrich
name: Christoph, Jan
Publisher: name: German Medical Science GMS Publishing House
Year: 2017
Subjects: subject: Bioinformatik
subject: Medizinische Informatik
subject: 610 Medical sciences; Medicine

description: Introduction: Pharmacogenomic Clinical Decision Support Systems (CDSS) are considered to be the most feasible tool for adopting pharmacogenomic testing into clinical routine. We aimed at discussing important legal and regulatory factors for implementing pharmacogenomic CDSS into German hospitals.   [for full text, please go to the a.m. URL]
description: 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)