bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Model of Qualitative Factors in Forensic-Ready Software Systems
Authors: Daubner Lukas , Matulevičius Raimundas , Buhnova Barbora 
Published: May 2023

AbstractForensic-ready software systems enhance the security posture by designing the systems prepared for potential investigation of incidents. Yet, the principal obstacle is defining their exact requirements, i.e., what they should implement. Such a requirement needs to be on-point and verifiable. However, what exactly comprises a forensic readiness requirement is not fully understood due to distinct fields of expertise in software engineering and digital forensics. This paper describes a forensic readiness qualitative factor reference model that enables the formulation of specific requirements for forensic-ready software systems. It organises the qualitative properties of forensic readiness into a taxonomy, which can then be used to formulate a verifiable requirement targeted at a specific quality. The model is then utilised in an automated valet parking service to define requirements addressing found inadequacies regarding a potential incident investigation.
Discovery of Improvement Opportunities in Knock-Out Checks of Business Processes
Authors: Lashkevich Katsiaryna , Mediavilla Ponce Lino Moises , Camargo Manuel , Milani Fredrik , Dumas Marlon 
Published: May 2023

AbstractOverprocessing is a source of waste that occurs when unnecessary work is performed in a process. Overprocessing is often found in application-to-approval processes since a rejected application does not add value, and thus, work that leads to the rejection constitutes overprocessing. Analyzing how the knock-out checks are executed can help analysts to identify opportunities to reduce overprocessing waste and time. This paper proposes an interpretable process mining approach for discovering improvement opportunities in the knock-out checks and recommending redesigns to address them. Experiments on synthetic and real-life event logs show that the approach successfully identifies improvement opportunities while attaining a performance comparable to black-box approaches. Moreover, by leveraging interpretable machine learning techniques, our approach provides further insights on knock-out check executions, explaining to analysts the logic behind the suggested redesigns. The approach is implemented as a software tool and its applicability is demonstrated on a real-life process.
Isometric Freehand Quadrature of Urban Sights: The “Squares-are-the-Key Method”
Authors: Fritsche Niels-Christian 
Published: May 2023

AbstractIn this paper, I propose the “squares-are-the-key method” as an update of the outdoor freehand-drawing class for architectural design. Let’s generate simplified 2D grids of site and floor plans, transform them to isometric grids, and insert essential height edges, taken from simplified elevations and sections, into it, on site.
Secondary wound closure with a new transparent negative-pressure dressing
Authors: Loske Gunnar 
Published: May 2023

AbstractSecondary healing surgical wounds can be treated with negative-pressure therapy. Dressing changes can be painful due to the strong adherence of the polyurethane foam placed in the wound. After debridement and conditioning of the wound bed, secondary surgical wound closure with a surgical suture can be performed. Cutaneous negative-pressure therapy is used preventively after primary surgical suturing. Descriptions for secondary wound closure without a surgical suture are not known to date. The preparation and handling of an innovative transparent dressing for the cutaneous application of negative-pressure therapy is demonstrated here. The dressing assembly consists of a transparent drainage film and a transparent occlusion film. Negative pressure is applied via a tubing connector using a negative pressure pump. A new method of secondary wound closure using the transparent negative-pressure dressing is presented based on a case example. The treatment cycle with instructions for making the dressing is shown in a video.
The TSP1-CD47-SIRPα interactome: an immune triangle for the checkpoint era
Authors: Montero Enrique , Isenberg Jeffrey S. 
Published: May 2023

AbstractThe use of treatments, such as programmed death protein 1 (PD1) or cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) antibodies, that loosen the natural checks upon immune cell activity to enhance cancer killing have shifted clinical practice and outcomes for the better. Accordingly, the number of antibodies and engineered proteins that interact with the ligand–receptor components of immune checkpoints continue to increase along with their use. It is tempting to view these molecular pathways simply from an immune inhibitory perspective. But this should be resisted. Checkpoint molecules can have other cardinal functions relevant to the development and use of blocking moieties. Cell receptor CD47 is an example of this. CD47 is found on the surface of all human cells. Within the checkpoint paradigm, non-immune cell CD47 signals through immune cell surface signal regulatory protein alpha (SIRPα) to limit the activity of the latter, the so-called trans signal. Even so, CD47 interacts with other cell surface and soluble molecules to regulate biogas and redox signaling, mitochondria and metabolism, self-renewal factors and multipotency, and blood flow. Further, the pedigree of checkpoint CD47 is more intricate than supposed. High-affinity interaction with soluble thrombospondin-1 (TSP1) and low-affinity interaction with same-cell SIRPα, the so-called cis signal, and non-SIRPα ectodomains on the cell membrane suggests that multiple immune checkpoints converge at and through CD47. Appreciation of this may provide latitude for pathway-specific targeting and intelligent therapeutic effect.
Exact expressions and numerical evaluation of average evolvability measures for characterizing and comparing $$\textbf{G}$$ matrices
Authors: Watanabe Junya 
Published: May 2023

AbstractTheory predicts that the additive genetic covariance ($$\textbf{G}$$G) matrix determines a population’s short-term (in)ability to respond to directional selection—evolvability in the Hansen–Houle sense—which is typically quantified and compared via certain scalar indices called evolvability measures. Often, interest is in obtaining the averages of these measures across all possible selection gradients, but explicit formulae for most of these average measures have not been known. Previous authors relied either on approximations by the delta method, whose accuracy is generally unknown, or Monte Carlo evaluations (including the random skewers analysis), which necessarily involve random fluctuations. This study presents new, exact expressions for the average conditional evolvability, average autonomy, average respondability, average flexibility, average response difference, and average response correlation, utilizing their mathematical structures as ratios of quadratic forms. The new expressions are infinite series involving top-order zonal and invariant polynomials of matrix arguments, and can be numerically evaluated as their partial sums with, for some measures, known error bounds. Whenever these partial sums numerically converge within reasonable computational time and memory, they will replace the previous approximate methods. In addition, new expressions are derived for the average measures under a general normal distribution for the selection gradient, extending the applicability of these measures into a substantially broader class of selection regimes.
Expert proposal to analyze the combination of aortic and mitral regurgitation in multiple valvular heart disease by comprehensive echocardiography
Authors: Hagendorff Andreas , Helfen A. , Brandt R. , Knebel F. , Altiok E. , Ewers A. , Haghi D. , Knierim J. , Merke N. , Romero-Dorta E. , Ruf T. , Sinning C. , Stöbe S. , Ewen S. 
Published: May 2023

AbstractThe assessment of valvular pathologies in multiple valvular heart disease by echocardiography remains challenging. Data on echocardiographic assessment—especially in patients with combined aortic and mitral regurgitation—are rare in the literature. The proposed integrative approach using semi-quantitative parameters to grade the severity of regurgitation often yields inconsistent findings and results in misinterpretation. Therefore, this proposal aims to focus on a practical systematic echocardiographic analysis to understand the pathophysiology and hemodynamics in patients with combined aortic and mitral regurgitation. The quantitative approach of grading the regurgitant severity of each compound might be helpful in elucidating the scenario in combined aortic and mitral regurgitation. To this end, both the individual regurgitant fraction of each valve and the total regurgitant fraction of both valves must be determined. This work also outlines the methodological issues and limitations of the quantitative approach by echocardiography. Finally, we present a proposal that enables verifiable assessment of regurgitant fractions. The overall interpretation of echocardiographic results includes the symptomatology of patients with combined aortic and mitral regurgitation and the individual treatment options with respect to their individual risk. In summary, a reproducible, verifiable, and transparent in-depth echocardiographic investigation might ensure consistent hemodynamic plausibility of the quantitative results in patients with combined aortic and mitral regurgitation.
Graphic abstract
The quantitative approach to assess LV volumes in combined AR and MR patients: explanation and algorithm of how to determine the relevant target parameters. LVSVeff—effective left ventricular (LV) stroke volume, LVSVforward—forward LV stroke volume through the aortic valve (AV), LVSVtot—total LV stroke volume, RegVolAR—regurgitant volume through the AV, RegVolMR—regurgitant volume through the mitral valve (MV), LVfilling volume = LVMV-Inflow − transmitral LV inflow, LVOT—left ventricular outflow tract, RFAR—regurgitant fraction of aortic regurgitation (AR), RFMR—regurgitant fraction of mitral regurgitation (MR), RVSVeff —effective right ventricular (RV) stroke volume, RVSVforward—forward RV stroke volume through the pulmonary valve, RVSVtot—total RV stroke volume.
Modal identification of structures with a dynamic behaviour characterised by global and local modes at close frequencies
Authors: Abdelnour Mena , Zabel Volkmar 
Published: May 2023

AbstractIdentification of modal parameters of a space frame structure is a complex assignment due to a large number of degrees of freedom, close natural frequencies, and different vibrating mechanisms. Research has been carried out on the modal identification of rather simple truss structures. So far, less attention has been given to complex three-dimensional truss structures. This work develops a vibration-based methodology for determining modal information of three-dimensional space truss structures. The method uses a relatively complex space truss structure for its verification. Numerical modelling of the system gives modal information about the expected vibration behaviour. The identification process involves closely spaced modes that are characterised by local and global vibration mechanisms. To distinguish between local and global vibrations of the system, modal strain energies are used as an indicator. The experimental validation, which incorporated a modal analysis employing the stochastic subspace identification method, has confirmed that considering relatively high model orders is required to identify specific mode shapes. Especially in the case of the determination of local deformation modes of space truss members, higher model orders have to be taken into account than in the modal identification of most other types of structures.
General diseases and medications in 687 patients reporting on adverse effects from dental materials
Authors: Cieplik Fabian , Hiller Karl-Anton , Scholz Konstantin J. , Schmalz Gottfried , Buchalla Wolfgang , Mittermüller Pauline 
Published: May 2023

Abstract

Objectives

Examination of patients claiming adverse effects from dental materials can be very challenging. Particularly, systemic aspects must be considered besides dental and orofacial diseases and allergies. Therefore, the aim of this study was to investigate a cohort of 687 patients reporting on adverse effects from dental materials focusing on findings related to known general diseases or conditions or medication-related findings with relevance to their subjective complaints.

Methods
Six hundred eighty-seven patients visiting a specialized consultation on claimed adverse effects from dental materials were retrospectively investigated for their subjective complaints, findings related to known general diseases or conditions, medication-related findings, dental and orofacial findings, or allergies with relevance to their subjective complaints.

Results
The most frequent subjective complaints were burning mouth (44.1%), taste disorders (28.5%), and dry mouth (23.7%). In 58.4% of the patients, dental and orofacial findings relevant to their complaints could be found. Findings related to known general diseases or conditions or medication-related findings were found in 28.7% or 21.0% of the patients, respectively. Regarding medications, findings related to antihypertensives (10.0%) and psychotropic drugs (5.7%) were found most frequently. Relevant diagnosed allergies toward dental materials were found in 11.9%, hyposalivation in 9.6% of the patients. In 15.1% of the patients, no objectifiable causes for the expressed complaints could be found.

Conclusions
For patients complaining of adverse effects from dental materials, findings related to known general diseases or conditions and medications should be given particular consideration, while still in some patients, no objectifiable causes for their complaints can be found.

Clinical relevance
For patients complaining about adverse effects from dental materials, specialized consultations and close collaboration with experts from other medical fields are eligible.
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
Authors: Cámara Javier , Troya Javier , Burgueño Lola , Vallecillo Antonio 
Published: May 2023

AbstractMost experts agree that large language models (LLMs), such as those used by Copilot and ChatGPT, are expected to revolutionize the way in which software is developed. Many papers are currently devoted to analyzing the potential advantages and limitations of these generative AI models for writing code. However, the analysis of the current state of LLMs with respect to software modeling has received little attention. In this paper, we investigate the current capabilities of ChatGPT to perform modeling tasks and to assist modelers, while also trying to identify its main shortcomings. Our findings show that, in contrast to code generation, the performance of the current version of ChatGPT for software modeling is limited, with various syntactic and semantic deficiencies, lack of consistency in responses and scalability issues. We also outline our views on how we perceive the role that LLMs can play in the software modeling discipline in the short term, and how the modeling community can help to improve the current capabilities of ChatGPT and the coming LLMs for software modeling.
Do Parents Enhance Cognitive Behavior Therapy for Youth Anxiety? An Overview of Systematic Reviews Over Time
Authors: Byrne S. , Cobham V. , Richardson M. , Imuta K. 
Published: May 2023

AbstractThe last 20 years has seen debate regarding the merits of involving parents in cognitive behavior therapy (CBT) for youth anxiety played out across systematic reviews which have high impact. These reviews examined varying treatment formats in relation to parent involvement, including youth only CBT (Y-CBT), parent only CBT (P-CBT) and family CBT (youth and parent; F-CBT). This is a novel overview of systematic reviews examining evidence for parental involvement in CBT for youth anxiety over the period this was studied. Two independent coders systematically searched for studies in medical and psychological databases using the categories “Review”, “Youth”, “Anxiety”, “Cognitive Behavior Therapy” and “Parent/Family”. Of the 2,189 unique articles identified, there were 25 systematic reviews since 2005 which compared the effects of CBT for youth anxiety with varying parent involvement. Despite systematically studying the same phenomenon, the reviews were heterogeneous in outcome, design, inclusion criteria and often had methodological limitations. Of the 25 reviews, 21 found no difference between formats and 22 reviews were considered inconclusive. Yet while there were typically no statistical differences, consistent patterns in the direction of effects were detected over time. P-CBT was less effective than other formats, suggesting the importance of directly treating anxious youths. Early reviews favored F-CBT over Y-CBT, however, later reviews did not show this trend. We consider the effects of moderators including exposure therapy, long-term outcomes and the child’s age. We consider how to manage heterogeneity in primary studies and reviews to better detect treatment differences where they exist.Trial registration This protocol is registered with the Open Science Framework: osf.io/2u58t.
Treating colorectal peritoneal metastases with an injectable cytostatic loaded supramolecular hydrogel in a rodent animal model
Authors: Wintjens Anne G. W. E. , Liu Hong , Fransen Peter-Paul K.H. , Lenaerts Kaatje , van Almen Geert C. , Gijbels Marion J. , Hadfoune M’hamed , Boonen Bas T.C. , Lieuwes Natasja G. , Biemans Rianne , Dubois Ludwig J. , Dankers Patricia Y.W. , de Hingh Ignace H.J.T. , Bouvy Nicole D. 
Published: May 2023

AbstractPatients with peritoneal metastases (PM) of colorectal cancer have a very poor outcome. Intraperitoneal delivery of chemotherapy is the preferred route for PM treatment. The main limitation of the treatment options is the short residence time of the cytostatic, with subsequent short exposure of the cancer cells. To address this, a supramolecular hydrogel has been developed that allows both local and slow release of its encapsulated drug, mitomycin C (MMC) or cholesterol-conjugated MMC (cMMC), respectively. This experimental study investigates if drug delivery using this hydrogel improves the therapeutic efficacy against PM. PM was induced in WAG/Rij rats (n = 72) by intraperitoneally injecting syngeneic colon carcinoma cells (CC531) expressing luciferase. After seven days, animals received a single intraperitoneal injection with saline (n = 8), unloaded hydrogel (n = 12), free MMC (n = 13), free cMMC (n = 13), MMC-loaded hydrogel (n = 13), or cMMC-loaded hydrogel (n = 13). Primary outcome was overall survival with a maximum follow-up of 120 days. Intraperitoneal tumor development was non-invasive monitored via bioluminescence imaging. Sixty-one rats successfully underwent all study procedures and were included to assess therapeutic efficacy. After 120 days, the overall survival in the MMC-loaded hydrogel and free MMC group was 78% and 38%, respectively. A trend toward significance was found when comparing the survival curves of the MMC-loaded hydrogel and free MMC (p = 0.087). No survival benefit was found for the cMMC-loaded hydrogel compared to free cMMC. Treating PM with our MMC-loaded hydrogel, exhibiting prolonged MMC exposure, seems effective in improving survival compared to treatment with free MMC.
An empirical study of the systemic and technical migration towards microservices
Authors: Michael Ayas Hamdy , Leitner Philipp , Hebig Regina 
Published: May 2023

Abstract
Context
As many organizations modernize their software architecture and transition to the cloud, migrations towards microservices become more popular. Even though such migrations help to achieve organizational agility and effectiveness in software development, they are also highly complex, long-running, and multi-faceted.

Objective
In this study we aim to comprehensively map the journey towards microservices and describe in detail what such a migration entails. In particular, we aim to discuss not only the technical migration, but also the long-term journey of change, on a systemic level.

Method
Our research method is an inductive, qualitative study on two data sources. Two main methodological steps take place – interviews and analysis of discussions from StackOverflow. The analysis of both, the 19 interviews and 215 StackOverflow discussions, is based on techniques found in grounded theory.

Results
Our results depict the migration journey, as it materializes within the migrating organization, from structural changes to specific technical changes that take place in the work of engineers. We provide an overview of how microservices migrations take place as well as a deconstruction of high level modes of change to specific solution outcomes. Our theory contains 2 modes of change taking place in migration iterations, 14 activities and 53 solution outcomes of engineers. One of our findings is on the architectural change that is iterative and needs both a long and short term perspective, including both business and technical understanding. In addition, we found that a big proportion of the technical migration has to do with setting up supporting artifacts and changing the paradigm that software is developed.
Bacterial and Metabolic Factors of Staphylococcal Planktonic and Biofilm Environments Differentially Regulate Macrophage Immune Activation
Authors: Seebach Elisabeth , Elschner Tabea , Kraus Franziska V. , Souto-Carneiro Margarida , Kubatzky Katharina F. 
Published: May 2023

Abstract

Biofilm formation is a leading cause for chronic implant-related bone infections as biofilms shield bacteria against the immune system and antibiotics. Additionally, biofilms generate a metabolic microenvironment that shifts the immune response towards tolerance. Here, we compared the impact of the metabolite profile of bacterial environments on macrophage immune activation using Staphylococcus aureus (SA) and epidermidis (SE) conditioned media (CM) of planktonic and biofilm cultures. The biofilm environment had reduced glucose and increased lactate concentrations. Moreover, the expression of typical immune activation markers on macrophages was reduced in the biofilm environment compared to the respective planktonic CM. However, all CM caused a predominantly pro-inflammatory macrophage cytokine response with a comparable induction of Tnfa expression. In biofilm CM, this was accompanied by higher levels of anti-inflammatory Il10. Planktonic CM, on the other hand, induced an IRF7 mediated Ifnb gene expression which was absent in the biofilm environments. For SA but not for SE planktonic CM, this was accompanied by IRF3 activation. Stimulation of macrophages with TLR-2/-9 ligands under varying metabolic conditions revealed that, like in the biofilm setting, low glucose concentration reduced the Tnfa to Il10 mRNA ratio. However, the addition of extracellular L-lactate but not D-lactate increased the Tnfa to Il10 mRNA ratio upon TLR-2/-9 stimulation. In summary, our data indicate that the mechanisms behind the activation of macrophages differ between planktonic and biofilm environments. These differences are independent of the metabolite profiles, suggesting that the production of different bacterial factors is ultimately more important than the concentrations of glucose and lactate in the environment.