bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examination of fire scene reconstructions using virtual reality to enhance forensic decision-making. A case study in Scotland.
Authors: Rinaldi Vincenzo , Robertson Karen Ann , Strong Graham George , Nic Daeid Niamh 
Published: March 2024

AbstractWhen attending a crime scene, first responders are responsible for identifying areas of potential interest for subsequent forensic examination. This information is shared with the police, forensic practitioners, and legal authorities during an initial meeting of all interested parties, which in Scotland is known as a forensic strategy meeting. Swift documentation is fundamental to allow practitioners to learn about the scene(s) and to plan investigative strategies, traditionally relying on word-of-mouth briefings using digital photographs, videos, diagrams, and verbal reports. We suggest that these early and critical briefings can be augmented positively by implementing an end-to-end methodology for indoor 3D reconstruction and successive visualisation through immersive Virtual Reality (VR). The main objective of this paper is to provide an integrative documentation tool to enhance the decision-making processes in the early stages of the investigation. Taking a fire scene as an example, we illustrate a framework for rapid spatial data acquisition of the scene that leverages structure-from-motion photogrammetry. We developed a VR framework that enables the exploration of virtual environments on a standalone, low-cost immersive head-mounted display. The system was tested in a two-phased inter-agency fire investigation exercise, where practitioners were asked to produce hypotheses suitable for forensic strategy meetings by (1) examining traditional documentation and then (2) using a VR walkthrough of the same premises. The integration of VR increased the practitioners’ scene comprehension, improved hypotheses formulation with fewer caveats, and enabled participants to sketch the scene, in contrast to the orientation challenges encountered using conventional documentation.
RAMA: a risk assessment solution for healthcare organizations
Authors: Smyrlis Michail , Floros Evangelos , Basdekis Ioannis , Prelipcean Dumitru-Bogdan , Sotiropoulos Aristeidis , Debar Herve , Zarras Apostolis , Spanoudakis George 
Published: March 2024

AbstractRecent cyber-attacks targeting healthcare organizations underscore the growing prevalence of the sector as a prime target for malicious activities. As healthcare systems manage and store sensitive personal health information, the imperative for robust cyber security and privacy protocols becomes increasingly evident. Consequently, healthcare institutions are compelled to actively address the intricate cyber security risks inherent in their digital ecosystems. In response, we present RAMA, a risk assessment solution designed to evaluate the security status of cyber systems within critical domain, such as the healthcare one. By leveraging RAMA, both local stakeholders, such as the hospital’s IT personnel, and global actors, including external parties, can assess their organization’s cyber risk profile. Notably, RAMA goes beyond risk quantification; it facilitates a comparative analysis by enabling organizations to measure their performance against average aggregated mean scores, fostering a culture of continuous improvement in cyber security practices. The practical efficacy of RAMA is demonstrated through its deployment across four real-world healthcare IT infrastructures. This study not only underscores the significance of addressing cyber security risks within healthcare but also highlights the value of innovative solutions like RAMA in safeguarding sensitive health information and enhancing the sector’s overall cyber resilience.
Therapeutic potential of mesenchymal stem cell-derived exosomes for regenerative medicine applications
Authors: Roszkowski Szymon 
Published: March 2024

AbstractMesenchymal stem cell-derived exosomes have emerged as a promising cell-free therapy for tissue engineering. Compared to intact stem cells, exosomes have advantages like low immunogenicity and ability to carry regenerative cargo. This review examined the potential of exosomes to treat defects in skin, bone and cartilage. In preclinical models, exosomes improved wound healing, stimulated bone regeneration, and enabled cartilage repair by transferring proteins, mRNAs and microRNAs. Their effects were elicited by modulating inflammation, angiogenesis, cell proliferation and matrix synthesis. Exosomes represent a promising cell-free therapy for tissue engineering. However, challenges remain regarding scalable isolation, elucidating mechanisms, and translating this approach to human trials. Understanding these challenges will enable the successful clinical translation of exosomes for regenerative medicine applications.
Lymphoma relapse 1 year or later after immunochemotherapy in DLBCL patients: clinical features and outcome
Authors: Chen Hongyun , Zhao Jinrong , Zhao Danqing , Wang Wei , Wei Chong , Wang Zi , Zhou Daobin , Zhang Wei 
Published: March 2024

AbstractDespite great advances in treatment, 30–40% of patients with DLBCL undergo relapses. Patients with a relapse within 1 year or beyond have a distinct outcome. Few clinical characteristics and survival data in the Chinese population have been published. We aimed to define the incidence and clinical features of DLBCL patients with very early relapse after front-line immunochemotherapy who may benefit greatly from the emerging chimeric antigen receptor T-cell therapy. Data of 564 DLBCL patients were analyzed. Among the 413 patients achieving a first complete remission, 59 underwent relapses: 32 patients (54.2%) relapsed within 1 year, and 27 patients (46.8%) relapsed 1 year or more. Patients relapsing within 1 year, in comparison with the other group, showed an inferior risk profile at diagnosis: elevated lactate dehydrogenase level (P = 0.002), high Eastern Cooperative Oncology Group performance score (P = 0.02), and high international prognosis index (P = 0.004). As expected, a worse overall survival was observed in the early relapse group. Multivariate analysis for OS showed that relapse within 1 year was an independent parameter for reduced overall survival (HR 0.241, P = 0.002).
Spline magnitude disparity cross correlated deep network for gait recognition
Authors: Jain Deepak Kumar , Kumar Manoj , Abualigah Laith 
Published: March 2024

AbstractGait recognition stands as a pivotal biometric technology in individual identification, yet its real-world implementation faces challenges stemming from intra-subject disparities. The task of extracting consistent features to distinguish among various subjects becomes onerous due to factors such as image noise and magnitude divergence, significantly impacting recognition accuracy. In addressing this hurdle, we introduce a groundbreaking approach known as the Spline Magnitude Disparity Cross-Correlated Deep Network, designed to optimize gait recognition efficiency. Our method, the Spline Magnitude Disparity Cross-Correlated Deep Network, operates through two key steps: B-Spline magnitude disparity deformation (BS-MDD) registration and cross-correlated long-short gait recognition modeling. The BS-MDD algorithm employs free-form deformation to approximate the magnitude divergence in gait input, enhancing viewpoint optimization and contributing to the development of the cross-correlated model. By focusing on preserving high-output recognition gates while eliminating forget gates, our approach achieves a heightened recognition rate. Evaluation on the widely utilized CASIA B dataset showcases the superiority of our proposed method over state-of-the-art alternatives in terms of the true positive rate, false-positive rate, recognition time, and overall recognition rate. Notably, our approach elevates the true positive rate by 5% and reduces the false-positive rate by 4%. These results underscore the high effectiveness of our method, demonstrating its capacity to substantially improve the accuracy of gait recognition in practical applications.”
Alcohol dehydrogenase system acts as the sole pathway for methanol oxidation in Desulfofundulus kuznetsovii strain TPOSR
Authors: Friedeheim Lukas , Boeren Sjef , Sánchez-Andrea Irene , Stams Alfons J. M. , Sousa Diana Z. 
Published: March 2024

AbstractDesulfofundulus kuznetsovii is a thermophilic, spore-forming sulphate-reducing bacterium in the family Peptococcaceae. In this study, we describe a newly isolated strain of D. kuznetsovii, strain TPOSR, and compare its metabolism to the type strain D. kuznetsovii 17T. Both strains grow on a large variety of alcohols, such as methanol, ethanol and propane-diols, coupled to the reduction of sulphate. Strain 17T metabolizes methanol via two routes, one involving a cobalt-dependent methyl transferase and the other using a cobalt-independent alcohol dehydrogenase. However, strain TPOSR, which shares 97% average nucleotide identity with D. kuznetsovii strain 17T, lacks several genes from the methyl transferase operon found in strain 17T. The gene encoding the catalytically active methyl transferase subunit B is missing, indicating that strain TPOSR utilizes the alcohol dehydrogenase pathway exclusively. Both strains grew with methanol during cobalt starvation, but growth was impaired. Strain 17T was more sensitive to cobalt deficiency, due to the repression of its methyl transferase system. Our findings shed light on the metabolic diversity of D. kuznetsovii and their metabolic differences of encoding one or two routes for the conversion of methanol.
Health Service Utilization in Adolescents Following a First Arrest: The Role of Antisocial Behavior, Callous-Unemotional Traits, and Juvenile Justice System Processing
Authors: Speck Julianne S. , Frick Paul J. , Vaughan Erin P. , Walker Toni M. , Robertson Emily L. , Ray James V. , Myers Tina D. Wall , Thornton Laura C. , Steinberg Laurence , Cauffman Elizabeth 
Published: March 2024

AbstractPrevious research indicates that youth exhibiting antisocial behavior are at risk for utilizing a disproportionate amount of health services compared to youth without these problems. The present study investigates whether being processed by the juvenile justice system and showing callous-unemotional (CU) traits independently predict health service utilization (medical and mental health service use and out-of-home placement) over and above the severity of antisocial behavior across adolescence. A total of 766 participants who had been arrested for the first time in adolescence provided data at ten appointments over a period of seven years. Results showed that self-reported antisocial behavior at the time of arrest predicted increased use of most health service use types over the next seven years (i.e. medicine prescriptions, tests for sexually transmitted infections, mental health service appointments, and out-of-home placements). All except prescription medication use remained significant when controlling for justice system processing and CU traits. Further, justice system processing added significantly to the prediction of medical service appointments. Whereas CU traits were associated with mental health service appointments and out-of-home placements, these did not remain significant when controlling for severity of antisocial behavior. These findings are consistent with prior research documenting the health care costs of antisocial behavior.
Crossflow polymeric hollow fiber heat exchanger: fiber tension effects on heat transfer and airside pressure drop
Authors: Kroulikova Tereza , Mraz Krystof , Hvozda Jiri , Bohacek Jan 
Published: March 2024

AbstractIn various applications, a polymeric hollow fiber heat exchanger (PHFHE) is a competitive alternative to a conventional heat exchanger (HE). Standard empirical models for predicting the crossflow tube HE characteristics are defined for devices with rigid tubes with relatively large diameters compared to the polymeric hollow fibers with an outer diameter of around 1 mm. This study examines the impact of tension force on airside heat transfer rate and pressure drop in a crossflow PHFHE. The tension force influences the stiffness of the flexible polymeric fibers and their response to applied airflow. Two liquid–gas PHFHEs were designed and manufactured to ensure uniformity of the fibers' arrangement (inline and staggered). An experimental stand enabling the application of defined tension force in the range of 0–9000 N was designed, manufactured and placed into the calorimetric tunnel, where heat transfer rate and pressure drop measurement were performed with varying air velocity between 2 and 8 ms−1 (corresponding to Reynolds number of 240–970). Among our key findings was that the elongation of the fibers due to thermal expansion or stress relaxation has a considerable impact on the fibers' arrangement and resulting fluid flow. Moreover, the application of tension force yielded no substantial change in air pressure drop; however, it led to a notable enhancement in heat transfer rate. Specifically, under a maximal tension force of 9000 N, the heat transfer rate increased by around 11% compared to the unloaded state.
Complement C3 From Astrocytes Plays Significant Roles in Sustained Activation of Microglia and Cognitive Dysfunctions Triggered by Systemic Inflammation After Laparotomy in Adult Male Mice
Authors: Chen Ying , Chu John Man-Tak , Wong Gordon Tin-Chun , Chang Raymond Chuen-Chung 
Published: March 2024

Abstract
Aberrant activation of complement cascades plays an important role in the progress of neurological disorders. Complement C3, the central complement component, has been implicated in synaptic loss and cognitive impairment. Recent study has shown that wound injury-induced systemic inflammation can trigger the increase of C3 in the brain. Our previous studies have demonstrated that laparotomy-triggered systemic inflammation could induce neuroinflammation and cognitive dysfunctions. Furthermore, sustained activation of microglia was observed even 14 days after laparotomy, while most of cytokines had returned to basal levels rapidly at the earlier time point. Although we have demonstrated that anti-inflammatory intervention successfully attenuated cognitive dysfunction by preventing increase of cytokines and activation of microglia, how sustained activation of microglia and cognitive dysfunction occur is still a mystery. In this study, we investigated the role of C3 in mediating activation of microglia and cognitive dysfunction by using laparotomy in adult male mouse only as the experimental model of systemic inflammation and AAV9-C3shRNA. Our data observed that laparotomy induced neurotoxic reactive astrocytes with an increase of C3 in the hippocampus. Furthermore, inhibition of C3 by AAV9-C3shRNA prevented synaptic engulfment by microglia and attenuated cognitive dysfunctions after laparotomy. Inhibition of C3 did not modulate activation of astrocytes and expression of various cytokines. Current findings demonstrated that C3 plays significant roles in sustained activation of microglia and cognitive dysfunctions, which suggests that C3 is the valuable molecule target to attenuate in neurological conditions characterised by neuroinflammation and cognitive dysfunction.

Graphical Abstract
Perceived Social Exclusion Partially Accounts for Social Status Effects on Subjective Well-Being: A Comparative Study of Japan, Germany, and the United States
Authors: Sagioglou Christina , Hommerich Carola 
Published: March 2024

AbstractPeople who are socioeconomically better off tend to report higher levels of well-being, with inconsistent roles ascribed to objective socioeconomic status (SES), subjective SES (SSES), and personal relative deprivation (PRD)—depending on the predictors, facets of well-being, and countries under study. We tested a comprehensive model of social status indicators as determinants of subjective well-being by a) including PRD, SSES, income, and education as predictors, b) assessing subjective well-being as well as interdependent happiness (happiness in relation to significant others), c) testing the model in Japan, Germany, and the US—countries with comparable societal structure (e.g., educated, industrialized, rich, democratic) but diverging cultural dimensions, and d) testing an explanatory variable: feeling excluded from society. Cross-culturally (N = 2,155), PRD and SSES independently and strongly predicted well-being, while income and education exhibited negligible direct effects. SSES emerged as the predominant predictor in Japan compared to the US and Germany, whereas PRD was the predominant predictor in the US compared to Germany and, to a lesser extent, Japan. This was largely accounted for by culture-specific links of social status with perceived social exclusion—the extent to which people feel unable to keep up with society as a whole. Perceived social exclusion was more strongly linked to SSES in Japan compared to Germany and the US, and more strongly linked to PRD in the US than in Germany. The role of perceived social exclusion as an explanatory variable in the relationship between social status and subjective well-being merits further investigation within and between countries.
Klarifizieren und Konfrontieren – oder besser doch nicht?
Authors: Möller Heidi 
Published: March 2024

ZusammenfassungWenn wir über das Verschieben des Sagbaren sprechen, dann geht es auch um Selbstreflexion: Wo zensieren wir uns selbst und haben unseren Anteil daran, dass zentrale Inhalte aus dem Beratungskontext exkommuniziert werden? In arbeitsweltlichen Kontexten stellt sich immer wieder die Frage, wie ich meine Gegenübertragungs-Phänomene nutze, wenn ich ihrer überhaupt gewahr werde. Der Beitrag stellt an vier Beispielen gelungene und weniger geglückte Konfrontationen dar und stellt Überlegungen an, wie konstruktive Klarifikation und Konfrontation in Beratungsprozessen gelingen können. Die psychischen Voraussetzungen der Spannungstoleranz, der Ambiguitätstoleranz und des professionellen Selbstwerts werden in Hinblick auf ihre Bedeutung für den beraterischen Diskurs besprochen.
Geschlechterdarstellungen in Geographie-Schulbüchern: Von mangelnder Repräsentation weiblicher Figuren und Reproduktion von Geschlechterstereotypen
Authors: Cruz Neri Nadine , Schwenzer Felicitas , Sprenger Sandra , Retelsdorf Jan 
Published: March 2024

ZusammenfassungGeschlechterstereotype Darstellungen und eine Unterrepräsentanz von weiblichen Figuren sind in verschiedenen Medien nach wie vor die Realität. Diese medial vermittelte Geschlechterungerechtigkeit kann Auswirkungen auf die Identitäts- und Persönlichkeitsentwicklung junger Rezipierender haben, die ihre Annahmen von Geschlechterrollen und eigene Zukunftsvorstellungen an die der medialen Sozialisationsinstanzen angleichen. Schulbücher als politisch und gesellschaftlich legitimiertes Medium mit einem pädagogischen und normativen Auftrag müssen deshalb insbesondere auf die Reproduktion geschlechterstereotyper Abbildungen geprüft werden. Verschiedene nationale und internationale Studien konnten bereits eine quantitative Unterrepräsentation weiblicher Figuren sowie die Vermittlung tradierter Geschlechterrollen in Schulbuchabbildungen unterschiedlicher Fächer nachweisen. Untersuchungen von Geographie-Schulbüchern sind bislang rar, weshalb wir eine quantitative und qualitative Inhaltsanalyse von sieben Geographie-Schulbüchern vornehmen. Die Ergebnisse zeigten in Übereinstimmung mit vorherigen Forschungsbefunden eine deutlich verminderte Sichtbarkeit von weiblichen Figuren sowie die Verhaftung in Geschlechterstereotypen in allen untersuchten Schulbüchern, besonders in der Kategorie Beruf und Tätigkeit. Die Ergebnisse werden im Hinblick auf frühere Forschungsarbeiten eingeordnet und Implikationen für die Forschung und Praxis werden diskutiert.
Identification of geographical and botanical origin of Mediterranean honeys using UV-vis spectroscopy and multivariate statistical analysis
Authors: Dimakopoulou-Papazoglou Dafni , Ploskas Nikolaos , Koutsoumanis Konstantinos , Katsanidis Eugenios 
Published: March 2024

AbstractThe present study aimed to differentiate Mediterranean honey samples with regards to their botanical and geographical origin, using UV-vis spectroscopy, combined with multivariate statistical analysis and chemometrics. A total of 151 commercial honey samples were collected from different countries (Greece, Malta, Spain, Tunisia, and Turkey), which were characterized as thyme, pine, or polyfloral. Discrimination of geographical and botanical origin was achieved successfully with Principal Component Analysis (PCA) together with Random Forest (RF), Partial Least Squares – Discriminant Analysis (PLS – DA), and Data Driven – Soft Independent Modelling of Class Analogies (DD-SIMCA) using the spectral range of 220–550 nm. DD-SIMCA achieved very high accuracy, sensitivity, and specificity on the discrimination of both the geographical and botanical origin of honey samples. The results support the good predictive capability of UV-vis spectroscopy combined with chemometrics for the determination of honey origin. This methodology could be utilized for the rapid and non-destructive assessment of Mediterranean honey origin.
Clinical applications of artificial intelligence in robotic surgery
Authors: Knudsen J. Everett , Ghaffar Umar , Ma Runzhuo , Hung Andrew J. 
Published: March 2024

AbstractArtificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical field, robotic surgery is the sector with some of the most innovative and impactful advancements. In this narrative review, we outline recent contributions of AI to the field of robotic surgery with a particular focus on intraoperative enhancement. AI modeling is allowing surgeons to have advanced intraoperative metrics such as force and tactile measurements, enhanced detection of positive surgical margins, and even allowing for the complete automation of certain steps in surgical procedures. AI is also Query revolutionizing the field of surgical education. AI modeling applied to intraoperative surgical video feeds and instrument kinematics data is allowing for the generation of automated skills assessments. AI also shows promise for the generation and delivery of highly specialized intraoperative surgical feedback for training surgeons. Although the adoption and integration of AI show promise in robotic surgery, it raises important, complex ethical questions. Frameworks for thinking through ethical dilemmas raised by AI are outlined in this review. AI enhancements in robotic surgery is some of the most groundbreaking research happening today, and the studies outlined in this review represent some of the most exciting innovations in recent years.
Variational Principles in Quaternionic Analysis with Applications to the Stationary MHD Equations
Authors: Cerejeiras P. , Kähler U. , Kraußhar R. S. 
Published: March 2024

AbstractIn this paper we aim to combine tools from variational calculus with modern techniques from quaternionic analysis that involve Dirac type operators and related hypercomplex integral operators. The aim is to develop new methods for showing geometry independent explicit global existence and uniqueness criteria as well as new computational methods with special focus to the stationary incompressible viscous magnetohydrodynamic equations. We first show how to specifically apply variational calculus in the quaternionic setting. To this end we explain how the mountain pass theorem can be successfully applied to guarantee the existence of (weak) solutions. To achieve this, the quaternionic integral operator calculus serves as a key ingredient allowing us to apply Schauder’s fixed point theorem. The advantage of the approach using Schauder’s fixed point theorem is that it is also applicable to large data since it does not require any kind of contraction property. These considerations will allow us to provide explicit iterative algorithms for its numerical solution. Finally to obtain more precise a-priori estimates one can use in the situations dealing with small data the Banach fixed point theorem which then also grants the uniqueness.