bluuebunny/crossref_metadata_2025_split huggingface dataset:
Word Processing Software: The Rise of MS Word
Authors: Kruse Otto , Rapp Christian 
Published: September 2023

AbstractIn the mid-1980s, more than 300 different versions of word processing software existed (Bergin, 2006a, b), but within a decade, Microsoft Word emerged from the pack and became the standard writing tool. MS Word convinced the public to exchange their typewriters for microcomputers with writing software. It gave writing an (inter)face to become familiar with. A new era of literacy had begun and started to shape writing, thinking, design, and communication in its own way. First, we provide an overview of the developments that made MS Word successful and describe in broad terms the core issues of word processing before we look at the functionalities that MS Word offers. Next, we reflect on the importance of research on word processors and show that it has dwindled since the initial wave of studies. Research ceased since the 2000s, even though new technological opportunities to study word processors arrived, such as key logging and screen recording. The report ends at the time when the internet had developed sufficiently to change literacy once more and when word processing had to adapt to the tasks, technologies, and demands of writing for the web or in the web.
Analytic Techniques for Automated Analysis of Writing
Authors: Shibani Antonette 
Published: September 2023

AbstractAnalysis of academic writing has long been of interest for pedagogical and research purposes. This involves the study of students’ writing products and processes, often enabled by time-consuming manual analysis in the past. With the advent of new tools and analytic techniques, analysis and assessment of writing has become much more time and resource efficient. Advances in machine learning and artificial intelligence also provide distinct capabilities in supporting students’ cognitive writing processes. This chapter will review analytical approaches that support the automated analysis of writing and introduce a taxonomy, from low-level linguistic indices to high-level categories predicted from machine learning. A list of approaches including linguistic metrics, semantic and topic-based analysis, dictionary-based approaches, natural language processing patterns, machine learning, and visualizations will be discussed, along with examples of tools supporting their analyses. The chapter further expands on the evaluation of such tools and links above analysis to implications on writing research and practice including how it alters the dynamics of digital writing.
The Future of Intelligent Tutoring Systems for Writing
Authors: Banawan Michelle , Butterfuss Reese , Taylor Karen S. , Christhilf Katerina , Hsu Claire , O’Loughlin Connor , Allen Laura K. , Roscoe Rod D. , McNamara Danielle S. 
Published: September 2023

AbstractWriting is essential for success in academics and everyday tasks, but the development of writing skills depends on consistent access to high-quality instruction, extended practice, and personalized feedback. To address these demands and meet students’ needs, educators and researchers have turned to technology-based writing tools. Ideally, these tools integrate the core components of intelligent tutoring, including a domain model, student model, tutor model, and interface model to engage students with individualized feedback that is linked to adaptive writing instruction. However, the landscape of writing tools still has much room for improvement in terms of incorporating advanced artificial intelligence-enabled features to better approximate intelligent tutoring systems (ITSs). This chapter describes the key elements of ITS technologies and how they can be integrated to further develop ITS tools for writing. To this end, this chapter (1) summarizes evidence-based aspects of successful ITSs and how they might be integrated into computer-based tools for writing, (2) reviews how existing systems have leveraged intelligent tutoring approaches, and (3) articulates how future technology-based writing tools could implement advanced intelligent tutoring features to better meet students’ needs. The chapter concludes with the implications and future directions of intelligent tutoring for the teaching and learning of writing.
Investigating Writing Processes with Keystroke Logging
Authors: Wengelin Åsa , Johansson Victoria 
Published: September 2023

AbstractAlready in the 1970s, researchers in linguistics and psychology became interested in understanding how written language production worked, why students’ texts ended up in a specific way, and whether writing instruction could be improved by an increased understanding of students’ actual activities during writing - what happens “behind the scenes”. They observed writing processes through video-recordings and think-aloud protocols, both of which required laborious manual analyses, but with the advent of affordable computers in the 1990s keystroke logging was developed. Keystroke logging records all keystrokes and mouse movements and provide them with a time stamp to allow playback and analyses. The purpose of this chapter is to introduce the reader to the concept of keystroke logging, explain briefly how it works, and give an overview of currently available software. First, we provide a short historical background. We then move into the core idea and functionality of keystroke logging in general before turning to descriptions of specific pieces of software. We summarise similarities and differences, aiming to show that choice of software should be governed by the research question. Finally, we discuss research that uses keystroke logging as a research tool, and provide examples of research about keystroke logging as a pedagogical tool.
Writing and Thinking: What Changes with Digital Technologies?
Authors: Kruse Otto , Anson Chris M. 
Published: September 2023

AbstractThe relationship between writing and thinking explicitly or implicitly runs through all the contributions to this book. There is no writing without thinking and there is no new writing technology that does not alter the way thinking in writing happens. Many layers of the relationship between thinking and writing await conceptualization. Four of them that seem most widely affected by the currently unfolding transformational processes are described in more detail in this chapter: (1) the connection of inscription and linearization to thinking; (2) the relation of sub-actions of the writing processes to thinking; (3) the influence of digital technology on connected thought, networked thinking, and collaborative writing; and (4) the challenges of higher-order support for writing, including automatic text generation for the conceptualization of the writing-thinking interplay. We close with a short statement on the necessity to adopt human-machine models to conceptualize thinking in writing.
Der Qualitätsatlas Pflege: Raumbezogene Qualitätsmessung bei Pflegeheimbewohnenden mittels QCare-Indikatoren
Authors: Behrendt Susann , Tsiasioti Chrysanthi , Özdes Tanyel , Jürchott Kathrin , Argüello Guerra Felipe , Klauber Jürgen , Schwinger Antje 
Published: September 2023

Zusammenfassung
Zusammenfassung
Geographische Analysen zur gesundheitlichen Versorgung der Bevölkerung bzw. ausgewählter Subgruppen finden sich in zunehmendem Maße. Die raumbezogene Betrachtung von Pflegebedürftigen und ihren medizinischen und pflegerischen Leistungsinanspruchnahmen ist demgegenüber ein sehr wenig beforschtes Feld in Deutschland. Gleichzeitig weisen nicht erst seit gestern Studienbefunde der pflegebezogenen Versorgungsforschung auf deutliche regionale Unterschiede in der Versorgung und ihrer Qualität von Langzeitgepflegten hin. Der vorliegende Beitrag greift diesen Bedarf auf und stellt den „Qualitätsatlas Pflege“ vor, der vom Wissenschaftlichen Institut der AOK (WIdO) online zur Verfügung gestellt wird. Auf Basis der routinedatenbasierten QCare – Qualitätsindikatoren für die Pflege
Die Bedeutung und Herausforderungen der Weiterbildung für die Langzeitpflege
Authors: Elsbernd Astrid , Hahn Laura 
Published: September 2023

ZusammenfassungBetriebliche Weiterbildung hat in allen beruflichen Handlungsfeldern sowohl für die Betriebe als auch für die Arbeitnehmerinnen und Arbeitnehmer eine hohe und weiter steigende Bedeutung. „Deutschland hat sich im Rahmen der EU-2030-Strategie das Ziel gesetzt, die Weiterbildungsbeteiligung auf einen Wert von 65 % zu steigern“ (Bundesministerium für Arbeit und Soziales 2022, S. 14). Die „Nationale Weiterbildungsstrategie. Gemeinsam für ein Jahrzehnt der Weiterbildung – Aufbruch in die Weiterbildungsrepublik“ wurde 2019 verabschiedet und befindet sich aktuell in der Umsetzung. Ziele sind u. a. die „Fortentwicklung des Weiterbildungssystems“ und die „Stärkung der Weiterbildungskultur“, um die „digitale, demografische und ökologische Transformation zu gestalten“ (Bundesministerium für Arbeit und Soziales 2022, S. 4). Insbesondere vor dem Hintergrund des wachsenden Fachkraftmangels in vielen Arbeitsbereichen ist die Weiterbildung ein wichtiger Weg, um personellen Engpässen, den weitgreifenden Entwicklungen auf dem Arbeitsmarkt und den Veränderungen bzw. der Weiterentwicklung in den jeweiligen Arbeitsfeldern zu begegnen.
Angehörigenbefragung in der stationären Langzeitpflege
Authors: Strotbek Johannes , Tucman Daniel 
Published: September 2023

ZusammenfassungIm Jahr 2019 entwickelte das Deutsche Institut für angewandte Pflegeforschung e. V. (DIP) im Auftrag der Weissen Liste, einer Transparenzinitiative der Bertelsmann Stiftung gemeinsam mit Patienten- und Verbraucherverbänden, eine Angehörigenbefragung für Einrichtungen der vollstationären Langzeitpflege. Mit dem Instrument soll die Qualitätsberichterstattung in der Pflege um die Perspektive der Betroffenen erweitert werden. Zur Unterstützung der konzeptionellen Entwicklung konnte die Behörde für Gesundheit und Verbraucherschutz der Stadt Hamburg (heute Sozialbehörde) als begleitender Kooperationspartner gewonnen werden. Die Stadt Hamburg hat im 2018 novellierten Hamburgischen Wohn- und Betreuungsqualitätsgesetz die jährliche Durchführung und Veröffentlichung einer einrichtungsbezogenen Angehörigenbefragung zum Zwecke der Qualitätsberichterstattung und Verbraucherinformation verankert.
A sequential global programming approach for two-scale optimization of homogenized multiphysics problems with application to Biot porous media
Authors: Vu Bich Ngoc , Lukeš Vladimir , Stingl Michael , Rohan Eduard 
Published: September 2023

AbstractWe present a new approach and an algorithm for solving two-scale material optimization problems to optimize the behaviour of a fluid-saturated porous medium in a given domain. While the state problem is governed by the Biot model describing the fluid–structure interaction in homogenized poroelastic structures, the approach is widely applicable to multiphysics problems involving several macroscopic fields in which homogenization provides the relationship between the microconfigurations and the macroscopic mathematical model. The optimization variables describe the local microstructure design by virtue of the pore shape which determines the effective medium properties, namely the material coefficients, computed by the homogenization method. The numerical optimization strategy involves (a) precomputing a database of the material coefficients associated with the geometric parameters and (b) applying the sequential global programming (SGP) method for solving the problem of macroscopically optimized distribution of material coefficients. Although there are similarities to the free material optimization (FMO) approach, only effective material coefficients are considered admissible, for which a well-defined set of corresponding configurable microstructures exists. Due to the flexibility of the SGP approach, different types of microstructures with fully independent parametrizations can easily be handled. The efficiency of the concept is demonstrated by a series of numerical experiments that show that the SGP method can simultaneously handle multiple types of microstructures with nontrivial parametrizations using a considerably low and stable number of state problems to be solved.
Persuasion with ambiguous receiver preferences
Authors: Sapiro-Gheiler Eitan 
Published: September 2023

AbstractI describe a Bayesian persuasion problem where Receiver has a private type representing a cutoff for choosing Sender’s preferred action, and Sender has maxmin preferences over all Receiver type distributions with known mean and bounds. This problem can be represented as a zero-sum game where Sender chooses a distribution of posterior mean beliefs that is a mean-preserving contraction of the prior over states, and an adversarial Nature chooses a Receiver type distribution with the known mean; the player with the higher realization from their chosen distribution wins. I formalize the connection between maxmin persuasion and similar games used to model political spending, all-pay auctions, and competitive persuasion. In both a standard binary-state setting and a new continuous-state setting, Sender optimally linearizes the prior distribution over states to create a distribution of posterior means that is uniform on a known interval with an atom at the lower bound of its support.
Traditional Chinese medicine treatment in sinusitis after radiotherapy for nasopharyngeal carcinoma: a systematic review and network meta-analysis
Authors: Chen Yihan , Liu Jianfeng 
Published: September 2023

Abstract
Background
Radiation sinusitis after radiotherapy for nasopharyngeal carcinoma occupies a large proportion and affects the subsequent therapeutic process as well as diagnosis, which can be improved by traditional Chinese medicine treatments.

Methods
Based on the relevant clinical randomized controlled trials (RCTs) from eight databases, a network meta-analysis (NMA) in a frequentist framework was constructed after study selection, data extraction, and quality evaluation of the included studies. The outcomes included total effect, the Lund Kennedy score of nasal endoscopy and the Lund Mackay score of sinus CT.

Results
For total effect, the order of probability for the effect is: external herbal medicine + herbal medicine orally > nasal saline + herbal medicine orally > herbal medicine orally > external herbal medicine > external herbal medicine + nasal saline > nasal saline + western medicine orally > none > nasal saline. For the Lund Kennedy score, the order of probability for the effect is: nasal saline + herbal medicine orally > herbal medicine orally > external herbal medicine > none > nasal saline. For Lund Mackay score, the order of probability for the effect is: herbal medicine orally > nasal saline + western medicine orally > nasal saline + herbal medicine orally > nasal saline > external herbal medicine.

Conclusions
Herbal medicine taken orally and through nasal cavities combined with nasal saline has a better clinical effect than a single intervention for total effect and Lund Kennedy score. As the classification of this research is relatively macro and the sample size is insufficient, further higher-quality studies are needed to verify the conclusion.

Trial registration
PROSPERO ID: CRD42022384113, 2022-12-25.
Heterogeneous response to TGF-β1/3 isoforms in fibroblasts of different origins: implications for wound healing and tumorigenesis
Authors: Urban Lukáš , Čoma Matúš , Lacina Lukáš , Szabo Pavol , Sabová Jana , Urban Tomáš , Šuca Hubert , Lukačín Štefan , Zajíček Robert , Smetana Karel , Gál Peter 
Published: September 2023

AbstractIdentification of therapeutic targets for treating fibrotic diseases and cancer remains challenging. Our study aimed to investigate the effects of TGF-β1 and TGF-β3 on myofibroblast differentiation and extracellular matrix deposition in different types of fibroblasts, including normal/dermal, cancer-associated, and scar-derived fibroblasts. When comparing the phenotype and signaling pathways activation we observed extreme heterogeneity of studied markers across different fibroblast populations, even within those isolated from the same tissue. Specifically, the presence of myofibroblast and deposition of extracellular matrix were dependent on the origin of the fibroblasts and the type of treatment they received (TGF-β1 vs. TGF-β3). In parallel, we detected activation of canonical signaling (pSMAD2/3) across all studied fibroblasts, albeit to various extents. Treatment with TGF-β1 and TGF-β3 resulted in the activation of canonical and several non-canonical pathways, including AKT, ERK, and ROCK. Among studied cells, cancer-associated fibroblasts displayed the most heterogenic response to TGF-β1/3 treatments. In general, TGF-β1 demonstrated a more potent activation of signaling pathways compared to TGF-β3, whereas TGF-β3 exhibited rather an inhibitory effect in keloid- and hypertrophic scar-derived fibroblasts suggesting its clinical potential for scar treatment. In summary, our study has implications for comprehending the role of TGF-β signaling in fibroblast biology, fibrotic diseases, and cancer. Future research should focus on unraveling the mechanisms beyond differential fibroblast responses to TGF-β isomers considering inherent fibroblast heterogeneity.
Oncological recurrence following pathological complete response after neoadjuvant treatment in patients with esophageal cancer — a retrospective cohort study
Authors: Hipp Julian , Kuvendjiska Jasmina , Hillebrecht Hans Christian , Herrmann Stephan , Timme-Bronsert Sylvia , Fichtner-Feigl Stefan , Hoeppner Jens , Diener Markus K. 
Published: September 2023

Abstract
Background
To evaluate recurrence in patients with post-neoadjuvant pathological complete response (pCR) and in patients with complete response of primary tumor but persisting lymphatic spread of disease (non-pCR, ypT0ypN +) of esophageal cancer.

Methods
Seventy-five patients (63 pCR, 12 non-pCR) were analyzed retrospectively. Pattern and incidence of local and distant recurrence as well as the impact on overall (OS) and disease-free survival (DFS) were evaluated. The efficacy of neoadjuvant chemotherapy according to FLOT protocol was compared to neoadjuvant chemoradiation according to CROSS protocol.

Results
In the pCR group, isolated local recurrence was diagnosed in 3%, while no isolated local recurrence was observed in the non-pCR group due to the high incidence of distant recurrence. Distant recurrence was most common in both cohorts (isolated distant recurrence: pCR group 10% to non-pCR group 55%; simultaneous distant and local recurrence: pCR group 3% to non-pCR group 18%). Median time to distant recurrence was 5.5 months, and median time to local recurrence was 8.0 months. Cumulative incidence of distant recurrence (with and without simultaneous local recurrence) was 16% (± 6%) in pCR patients and 79% (± 13%) in non-pCR patients (hazard ratio (HR) 0.123) estimated by Kaplan–Meier method. OS (HR 0.231) and DFS (HR 0.226) were significantly improved in patients with pCR compared to patients with non-pCR. Advantages for FLOT protocol compared to CROSS protocol, especially with regard to distant control of disease (HR 0.278), were observed (OS (HR 0.361), DFS (HR 0.226)).

Conclusion
Distant recurrence is the predominant site of treatment failure in patients with pCR and non-pCR grade 1a regression, whereby recurrence rates are much higher in patients with non-pCR.
Prospective assessment of early developmental markers and their association with neuropsychological impairment
Authors: Cainelli Elisa , Vedovelli Luca , Trevisanuto Daniele , Suppiej Agnese , Bisiacchi Patrizia 
Published: September 2023

AbstractChildren who experience adversities in the pre-perinatal period are at increased risk of developing impairment later in life, despite the absence of overt brain and neurological abnormalities. However, many of these children exhibit sequelae several years after a period of normal appearance. As a result, the need for reliable developmental assessments for the early detection of infants at high risk of adverse neurodevelopmental outcomes has emerged. The Griffiths Mental Developmental Scales have a promising but poorly explored prognostic ability. This longitudinal study evaluated the predictive power of the Griffiths Mental Developmental Scales at 12 and 24 months on the cognitive and neuropsychological profile at 6 years of age in a sample of 70 children with a history of prematurity or perinatal asphyxia but without brain and neurological abnormalities. We found that the Griffiths Mental Developmental Scales at 24 months had good predictive ability on the intelligence quotient at 6 years and the capacity to predict some neuropsychological performances. On the other hand, the Griffiths Mental Developmental Scale at 12 months was not associated with the performance at 6 years or 24 months. Conclusion: Data on brain development converge to indicate that the first two years of age represent a critical stage of development, particularly for children experiencing mild pre-perinatal adversities who are thought to exhibit white matter dysmaturity. For this reason, this age is crucial for identifying which children are at major risk, leaving enough time to intervene before overt deficits become apparent. Brain development in the first 2 years could explain the limited reliability of early neurodevelopmental testing.

What is Known:• Pre-perinatal adversities increase the risk of developing neurodevelopmental disorders.• The predictive ability of the Griffith scale is poorly explored in low-grade conditions.

What is New:• The predictive ability of the Griffith scale has been investigated in low-risk children.• A complete neuropsychological profile could offer a more accurate prediction than the intellectual quotient.
Digitale und analoge Interventionskomponenten zur Stärkung von Peer-Beziehungen und Förderung des psychosozialen Wohlbefindens von Kindern und Jugendlichen
Authors: Dörfler Sylvia 
Published: September 2023

ZusammenfassungSoziale Verbundenheit im Sinne unterstützender Peer-Beziehungen stellen protektive Faktoren für ein gesundes Heranwachsen dar. Das Forschungszentrum Transitionspsychiatrie zielt mit seiner Forschung auf die Schließung der häufig auftretenden Lücken in der psychiatrischen Versorgung beim Übergang ins Erwachsenenalter ab. Analoge und digitale Interventionskomponenten tragen dabei präventiv zur Stärkung des psychosozialen Wohlbefindens von Kindern und Jugendlichen bei. Das Serious Game „School can be a nightmare“ zielt auf die Vermittlung von interpersoneller Emotionsregulation ab. Das Rätselspiel „LINA“ dient zur Stärkung der Klassengemeinschaft. Das Lernprogramm zum sozialen Lernen vermittelt soziale und emotionale Kompetenzen. OPEN2chat bietet die Möglichkeit, sich kostenlos und anonym mit gleichaltrigen Peer-Begleiter:innen auszutauschen.
Inner approximations of coherent lower probabilities and their application to decision making problems
Authors: Miranda Enrique , Montes Ignacio , Presa Andrés 
Published: September 2023

AbstractWe consider a decision making problem under imprecision, where the probabilistic information is given in terms of a set of probability measures, and where finding the optimal alternative(s) may be difficult. To ease the computation, we propose to transform the initial model into another one that (1) belongs to some subclass with better mathematical properties, such as supermodularity or complete monotonicity; (2) is at least as informative as the original model, while being as close as possible to it. We show that the problem can be approached in terms of linear or quadratic programming and that it can be connected with the one of determining the incenter of a credal set. Finally, we compare the solutions of a decision making problem with the initial and the transformed models and illustrate how our approach can be applied in a decision making problem under severe uncertainty.