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  <title>DSpace Collection:</title>
  <link rel="alternate" href="https://opendata.uni-halle.de//handle/1981185920/35794" />
  <subtitle />
  <id>https://opendata.uni-halle.de//handle/1981185920/35794</id>
  <updated>2026-10-17T02:46:09Z</updated>
  <dc:date>2026-10-17T02:46:09Z</dc:date>
  <entry>
    <title>Evaluating the correspondence of neuropsychological profiles with clinical diagnostic criteria for frontotemporal lobar degeneration and Alzheimer's disease : insights from k-means clustering</title>
    <link rel="alternate" href="https://opendata.uni-halle.de//handle/1981185920/127777" />
    <author>
      <name>Söntgerath, Marie</name>
    </author>
    <author>
      <name>Boehm, Fabiola</name>
    </author>
    <author>
      <name>Otto, Markus</name>
    </author>
    <author>
      <name>[und viele weitere]</name>
    </author>
    <id>https://opendata.uni-halle.de//handle/1981185920/127777</id>
    <updated>2026-10-15T01:13:20Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Evaluating the correspondence of neuropsychological profiles with clinical diagnostic criteria for frontotemporal lobar degeneration and Alzheimer's disease : insights from k-means clustering
Author(s): Söntgerath, Marie; Boehm, Fabiola; Otto, Markus; [und viele weitere]
Abstract: Introduction:&#xD;
&#xD;
Diagnosis of frontotemporal lobar degeneration (FTLD) is complicated by high heterogeneity within diagnostic groups and overlap between them. Using an unsupervised machine learning technique this study aimed to increase understanding of neuropsychological profiles in the spectrum of FTLD syndromes and to assess the consistency of these neuropsychological profiles with diagnostic criteria.&#xD;
&#xD;
Methods:&#xD;
&#xD;
Data from the German FTLD Consortium (FTLD-c) including behavioral variant of frontotemporal dementia (bvFTD), primary progressive aphasia (PPA) syndromes, i.e., semantic variant (svPPA), and non-fluent variant (nfvPPA), healthy controls, and amnestic Alzheimer's disease (AD), and logopenic variant (lvPPA) was used. K-means clustering was applied on neuropsychological and behavioral data. Analysis was repeated for varying cluster numbers (k = 2–9). Resulting clusters were inspected on the correspondence with current diagnostic groups and neuropsychological profiles of the clusters were explored.&#xD;
&#xD;
Results:&#xD;
&#xD;
The results indicated that, based on neuropsychological profiles, particularly homogeneous clusters emerged for healthy controls, svPPA and bvFTD. In contrast, amnestic AD did not separate well from other diagnostic groups, and nfvPPA and lvPPA clustered together. Inspecting the neuropsychological profiles of the clusters showed that segregation of bvFTD from other patient groups was most supported by companion-rated questionnaires focused on behavior. Patients with svPPA showed impairment in both language and verbal memory tasks. LvPPA and nfvPPA showed impairment in processing speed as well as short term and working memory.&#xD;
&#xD;
Discussion:&#xD;
&#xD;
Using clustering this study provides insight into data-driven grouping of participants with FTLD based on neuropsychological deep-phenotyping. Whereas our approach confirmed svPPA and bvFTD to have comparatively homogeneous neuropsychological profiles, results suggest that the non-fluent PPA syndromes–lvPPA and nfvPPA–are difficult to segregate clinically, at least with the tests applied in our cohort. Our findings may suggest the need for further specification of clinical diagnostic criteria for these diseases.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Evaluation of the influence of pore structural parameters on the mechanical properties of foam glasses via in-situ micro-CT mechanical testing</title>
    <link rel="alternate" href="https://opendata.uni-halle.de//handle/1981185920/127776" />
    <author>
      <name>Gruener Lima, Mateus</name>
    </author>
    <author>
      <name>Günther, Tobias</name>
    </author>
    <author>
      <name>Trang Vo, Thu</name>
    </author>
    <author>
      <name>Inocente Jussiani, Eduardo</name>
    </author>
    <author>
      <name>Enke, Dirk</name>
    </author>
    <author>
      <name>Peuker, Urs</name>
    </author>
    <author>
      <name>Wehrspohn, Ralf B.</name>
    </author>
    <author>
      <name>Martins de Souza e Silva, Juliana</name>
    </author>
    <id>https://opendata.uni-halle.de//handle/1981185920/127776</id>
    <updated>2026-10-15T01:14:19Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Evaluation of the influence of pore structural parameters on the mechanical properties of foam glasses via in-situ micro-CT mechanical testing
Author(s): Gruener Lima, Mateus; Günther, Tobias; Trang Vo, Thu; Inocente Jussiani, Eduardo; Enke, Dirk; Peuker, Urs; Wehrspohn, Ralf B.; Martins de Souza e Silva, Juliana
Abstract: Open-cell foam glasses are ideal model systems for investigating the mechanical behavior of macroporous materials. However, a detailed mechanistic understanding linking specific pore-scale features to mechanical failure remains a key challenge. In this study, we investigated the relationships between pore structure and mechanical properties, specifically Young's modulus and compressive strength, in three open-cell monolithic foam glass samples, which serve as model systems for macroporous silica monoliths. With the results of micro-computed tomography (micro-CT) combined with ex-situ and in-situ uniaxial compression experiments and Digital Volume Correlation (DVC) analysis we demonstrate an inverse relationship between mechanical strength and factors including wall thickness and porosity, with compressive strength following a power-law correlation with the proportion of large pores. Multi-peak stress-strain behavior indicates micro-cracking within the porous lattice, while micro-CT imaging reveals damage localization at the specimen boundaries and strain-induced changes in porosity, mean pore diameter, and sphericity. DVC analysis further validated these findings. This work provides mechanistic insights essential for the rational design and optimization of macroporous materials.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Notaufnahmevorstellungen von älteren Menschen mit Sturz : eine Sekundärdatenanalyse aus einem maximalversorgenden Krankenhaus</title>
    <link rel="alternate" href="https://opendata.uni-halle.de//handle/1981185920/127775" />
    <author>
      <name>Koppelkamm, Lilly</name>
    </author>
    <author>
      <name>Meyer, Gabriele</name>
    </author>
    <author>
      <name>Arnim, Ulrike</name>
    </author>
    <author>
      <name>Beutner, Katrin</name>
    </author>
    <id>https://opendata.uni-halle.de//handle/1981185920/127775</id>
    <updated>2026-10-15T01:13:26Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Notaufnahmevorstellungen von älteren Menschen mit Sturz : eine Sekundärdatenanalyse aus einem maximalversorgenden Krankenhaus
Author(s): Koppelkamm, Lilly; Meyer, Gabriele; Arnim, Ulrike; Beutner, Katrin
Abstract: Hintergrund&#xD;
&#xD;
Die demografische Entwicklung führt zu einer steigenden Inanspruchnahme des Gesundheitssystems durch ältere Menschen. Eine der häufigsten Ursachen für die Vorstellung im Krankenhaus von Menschen über 65 Jahren stellen Stürze dar.&#xD;
Ziel der Arbeit&#xD;
&#xD;
Ziel der Studie ist die Charakterisierung und Analyse des konsekutiven Verbleibs von älteren Menschen, die nach einem Sturz in der Notaufnahme vorstellig werden.&#xD;
Methodik&#xD;
&#xD;
Es erfolgte eine Sekundärdatenanalyse von Routinedaten aus einem maximalversorgenden Krankenhaus über den Zeitraum eines Jahres (Januar bis Dezember 2022) mit deskriptiver Datenanalyse. In die Analyse eingeschlossen wurden alle Patient*innen, die ≥65 Jahre alt waren und aufgrund eines Sturzgeschehens in der Notaufnahme vorstellig wurden.&#xD;
Ergebnisse&#xD;
&#xD;
Im Jahr 2022 wurden 18.839 Patient*innen ≥65 Jahre in der Notaufnahme behandelt, 16 % davon aufgrund eines Sturzes. Frauen sind mit 63 % in der Studienkohorte häufiger vertreten, 42 % der Patient*innen waren 85 Jahre oder älter. Nur 36 % der Vorstellenden wurden stationär aufgenommen, wobei Patient*innen, die mit dem Rettungsdienst kamen, signifikant häufiger stationär verblieben. Eine durch das Trauma bedingte Diagnose bestand bei 43 % der Patient*innen. Bei 15 % fand eine Operation statt, am häufigsten an den unteren Extremitäten.&#xD;
Diskussion&#xD;
&#xD;
Stürze stellen einen relevanten Vorstellungsgrund in Notaufnahmen bei älteren Menschen dar, häufig besteht keine traumatologische Therapieindikation. Auffallend ist der hohe Anteil an ambulant behandelten Patient*innen, bei denen unklar bleibt, ob und wie sich eine Weiterversorgung gestaltet. Weitere Forschung ist nötig, um Potenziale für verbesserte Behandlungsabläufe, insbesondere bei ambulant Behandelten, zu identifizieren.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Association between long-term care setting and emergency transportation utilisation : a 5-year retrospective cohort study using health insurance data</title>
    <link rel="alternate" href="https://opendata.uni-halle.de//handle/1981185920/127774" />
    <author>
      <name>Buhtz, Christian</name>
    </author>
    <author>
      <name>Heinrich, Stephanie</name>
    </author>
    <author>
      <name>Walther, Christian</name>
    </author>
    <author>
      <name>Fleischer, Steffen</name>
    </author>
    <author>
      <name>Meyer, Gabriele</name>
    </author>
    <id>https://opendata.uni-halle.de//handle/1981185920/127774</id>
    <updated>2026-10-15T01:11:51Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Association between long-term care setting and emergency transportation utilisation : a 5-year retrospective cohort study using health insurance data
Author(s): Buhtz, Christian; Heinrich, Stephanie; Walther, Christian; Fleischer, Steffen; Meyer, Gabriele
Abstract: Background&#xD;
&#xD;
The burden on healthcare systems from the utilisation of emergency transportation (ET) is increasing worldwide. Particularly care-dependent individuals and long-term care recipients are affected.&#xD;
Objective&#xD;
&#xD;
We aim to investigate the factors contributing to ET utilisation, particularly in these care-related groups and settings.&#xD;
Methods&#xD;
&#xD;
Using claims data on ET utilisation in conjunction with long-term care (LTC) insurance data, we identified 561,322 ET events from 2018–2022 in insured individuals of AOK Saxony-Anhalt, Germany. Age-standardised incidence rates (ASIR) were calculated with the duration of insurance as time at risk. Negative binomial regression assessed factors influencing ET utilisation.&#xD;
Results&#xD;
&#xD;
ET utilisation remained stable over 5 years, with an ASIR of 112.59 per 1000 insured person–years. High care dependency level correlates with higher ET rates, both in terms of IR and in the regression model. This correlation strengthens when combined with LTC settings involving formal caregivers, such as nursing homes and formal home care. Multimorbidity is suggested as a potential contributing factor, particularly for individuals with care levels 4 and 5, but did not fully explain the observed patterns.&#xD;
Conclusion&#xD;
&#xD;
Care dependency and professional care are strongly associated with increased ET utilisation. The findings suggest a need for structural improvements in LTC, clearer legal frameworks, and better competencies across all care providers, including enhanced training and education, to address unmet needs and reduce potentially avoidable ET events. Further research should explore these relationships in more depth to inform interventions aimed at relieving pressure on emergency services.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
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