bluuebunny/crossref_metadata_2025_split huggingface dataset:
Führung und Lagedarstellung durch den Einsatz des Windmühlenmodells während der Corona Pandemie – eine retrospektive Datenanalyse
Authors: Wurmb Thomas , Klüpfel Marina , Leßnau Philipp , Meybohm Patrick , Hahn Niklas , Kraus Martin , Kippnich Maximilian 
Published: October 2023

Zusammenfassung
Hintergrund
Ohne Lagedarstellung und Lagebewertung ist eine übergeordnete und zielgerichtete Führung in Großschadenslagen und Katastrophen nicht möglich. Während der SARS-CoV-2(Severe acute respiratory syndrome corona virus type 2)-Pandemie wurde das Windmühlenmodell als Führungs- und Lagedarstellungswerkzeug entwickelt und erfolgreich eingesetzt. Ziel dieser Arbeit ist es, den bayernweiten Einsatz des Windmühlenmodells zu evaluieren.

Studiendesign und Untersuchungsmethode
Es erfolgte eine retrospektive Datenanalyse für den Zeitraum 21. November 2021 bis 20. Februar 2022. Hierbei wurden die Anwendungshäufigkeit, die Lagemeldungen, die überregionalen Patientenverlegungen und die Korrelation aus Lagemeldung und 7‑Tage-Inzidenz untersucht.

Ergebnisse
Die Anwendungshäufigkeit war insgesamt mit über 90 % hoch. Die Lagemeldungen geben die Situation an den bayerischen Krankenhäusern sehr realistisch wieder, auch die Konsequenzen aus den Lagemeldungen können gut dargestellt werden. Während der Infektionswelle November und Dezember 2021 zeigte sich eine deutliche Korrelation zwischen der 7‑Tage-Inzidenz und den im Modell dargestellten sehr angespannten Versorgungslagen auf den Intensivstationen. Diese Korrelation war während der Infektionswelle Januar und Februar 2022 aufgehoben.

Schlussfolgerung
Das Windmühlenmodell ist ein einfach und schnell anwendbares Lagedarstellungs- und Führungswerkzeug. Die Lagemeldungen geben nicht nur den Überblick über die aktuelle Situation der medizinischen Versorgungslage, es werden auch der Zusammenhang des allgemeinen Infektionsgeschehens und seine Auswirkung auf die Krankenhäuser dargestellt. Insgesamt zeigen die Daten, dass der Einsatz dieses Führungswerkzeugs im Rahmen der SARS-CoV-2-Pandemie im untersuchten Zeitraum erfolgreich war. Für den Einsatz bei zukünftigen Schadenslagen ist das Modell adaptierbar und einsetzbar.

Graphic abstract
Left and right corticobasal syndrome: comparison of cognitive profiles between metabolic imaging - matched groups
Authors: Isella Valeria , Licciardo Daniele , Ferri Francesca , Crivellaro Cinzia , Morzenti Sabrina , Appollonio Ildebrando Marco , Ferrarese Carlo 
Published: October 2023

Abstract
Background
Corticobasal syndrome (CBS) is typically asymmetric. Case reports suggest that left-hemisphere CBS (lhCBS) is associated with major language impairment, and right-hemisphere CBS (rhCBS) is associated with major visuospatial deficits, but no group study has ever verified these observations. In our study, we enrolled 49 patients with CBS, classified them as lhCBS or rhCBS based on asymmetry of hypometabolism on brain FDG-PET and compared their cognitive and behavioural profiles.

Methods
We defined asymmetry of hypometabolism upon visual inspection of qualitative PET images and confirmed it through paired comparison of left- and right-hemisphere FDG uptake values. The two groups were also matched for severity of hypometabolism within the more affected and more preserved hemispheres, to unravel differences in the cognitive profiles ascribable specifically to each hemisphere’s functional specializations. All patients were assessed for memory, language, executive and visuospatial deficits, apraxia, neglect, dyscalculia, agraphia and behavioural disturbances.

Results
LhCBS (n. 26) and rhCBS (n. 23) patients did not differ for demographics, disease duration and severity of global cognitive impairment. The two cognitive profiles were largely overlapping, with two exceptions: Digit span forward was poorer in lhCBS, and visual neglect was more frequent in rhCBS.

Conclusions
After balancing out patients for hemispheric hypometabolism, we did not confirm worse language or visuospatial deficits in, respectively, lhCBS and rhCBS. However, verbal short-term memory was more impaired in lhCBS, and spatial attention was more impaired in rhCBS. Both of these functions reflect the functional specialization of the left and right fronto-parietal pathways, i.e. of the main loci of neurodegeneration in CBS.
Cyber threat assessment and management for securing healthcare ecosystems using natural language processing
Authors: Silvestri Stefano , Islam Shareful , Amelin Dmitry , Weiler Gabriele , Papastergiou Spyridon , Ciampi Mario 
Published: October 2023

AbstractThe healthcare sectors have constantly faced significant challenge due to the rapid rise of cyber threats. These threats can pose any potential risk within the system context and disrupt the critical healthcare service delivery. It is therefore necessary for the healthcare organisations to understand and tackle the threats to ensure overall security and resilience. However, threats are continuously evolved and there is large amount of unstructured security-related textual information is available. This makes the threat assessment and management task very challenging. There are a number of existing works that consider Machine Learning models for detection and prediction of cyber attack but they lack of focus on the Natural Language Processing (NLP) to extract the threat information from unstructured security-related text. To this end, this work proposes a novel method to assess and manage threats by adopting natural language processing. The proposed method has been tailored for the healthcare ecosystem and allows to identify and assess the possible threats within healthcare information infrastructure so that appropriate control and mitigation actions can be taken into consideration to tackle the threat. In detail, NLP techniques are used to extract the useful threat information related to specific assets of the healthcare ecosystems from the largely available security-related information on Internet (e.g. cyber security news), to evaluate the level of the identified threats and to select the required mitigation actions. We have performed experiments on real healthcare ecosystems in Fraunhofer Institute for Biomedical Engineering, considering in particular three different healthcare scenarios, namely implantable medical devices, wearables, and biobank, with the purpose of demonstrating the feasibility of our approach, which is able to provide a realistic manner to identify and assess the threats, evaluate the threat level and suggest the required mitigation actions.
A counterexample to $$L^{\infty }$$-gradient type estimates for Ornstein–Uhlenbeck operators
Authors: Dolera Emanuele , Priola Enrico 
Published: October 2023

AbstractLet$$(\lambda _k)$$(λk)be a strictly increasing sequence of positive numbers such that$${\sum _{k=1}^{\infty } \frac{1}{\lambda _k} < \infty }$$∑k=1∞1λk<∞. Letfbe a bounded smooth function and denote by$$u= u^f$$u=ufthe bounded classical solution to$$\begin{aligned} u(x) - \frac{1}{2}\sum _{k=1}^m D^2_{kk} u(x) + \sum _{k =1}^m \lambda _k x_k D_k u(x) = f(x),\quad x \in {{\mathbb {R}}}^m . \end{aligned}$$u(x)-12∑k=1mDkk2u(x)+∑k=1mλkxkDku(x)=f(x),x∈Rm.It is known that the following dimension-free estimate holds:$$\begin{aligned} \displaystyle \int _{{{\mathbb {R}}}^m}\! \left[ \sum _{k=1}^m \lambda _k \, (D_k u (y))^2 \right] ^{p/2} \!\! \!\!\!\! \mu _m (\textrm{d}y) \le (c_p)^p \!\! \int _{{{\mathbb {R}}}^m} \!\! |f( y)|^p \mu _m (\textrm{d}y),\;\;\; 1< p < \infty \end{aligned}$$∫Rm∑k=1mλk(Dku(y))2p/2μm(dy)≤(cp)p∫Rm|f(y)|pμm(dy),1<p<∞where$$\mu _m$$μmis the “diagonal” Gaussian measure determined by$$\lambda _1, \ldots , \lambda _m$$λ1,…,λmand$$c_p > 0$$cp>0is independent offandm. This is a consequence of generalized Meyer’s inequalities [4]. We show that, if$$\lambda _k \sim k^2$$λk∼k2, then such estimate does not hold when$$p= \infty $$p=∞. Indeed we prove$$\begin{aligned} \sup _{\begin{array}{c} f \in C^{ 2}_b({{\mathbb {R}}}^m),\;\;\; \Vert f\Vert _{\infty } \le 1 \end{array}} \left\{ \sum _{k=1}^m \lambda _k \, (D_k u^f (0))^2 \right\} \rightarrow \infty \;\; \text{ as } \; m \rightarrow \infty . \end{aligned}$$supf∈Cb2(Rm),‖f‖∞≤1∑k=1mλk(Dkuf(0))2→∞asm→∞.This is in contrast to the case of$$\lambda _k = \lambda >0$$λk=λ>0,$$k \ge 1$$k≥1, where a dimension-free bound holds for$$p =\infty $$p=∞.
Antiretroviral Treatment Gaps and Adherence Among People with HIV in the U.S. Medicare Program
Authors: Li Pengxiang , Prajapati Girish , Geng Zhi , Ladage Vrushabh P. , Arduino Jean Marie , Watson Dovie L. , Gross Robert , Doshi Jalpa A. 
Published: October 2023

AbstractApproximately one-quarter of people with HIV (PWH) in the U.S. receive coverage through the Medicare program; however, no prior real-world study has examined antiretroviral therapy (ART) gaps and adherence and associated factors in this population. This retrospective cohort analysis used 2013–2018 national Medicare fee-for-service claims data to identify all PWH initiated on a new ART regimen including protease inhibitors [PI], non-nucleoside reverse transcriptase inhibitors [NNRTIs], or integrase strand transfer inhibitors [INSTIs] between 1/1/2014 and 12/31/2017. Study outcomes included ART adherence (based on proportion of days covered [PDC]), continuous treatment gaps ranging from 1 to 6 days to ≥ 180 days, and discontinuation (continuous gap ≥ 90 days) in the 12-month follow-up period. Multivariable regressions were used to assess factors associated with ART adherence and discontinuation. The final sample included 48,627 PWH (mean age: 54.5 years, 74.4% male, 47.5% White, 89.8% disabled). Approximately 53.0% of PWH had a PDC ≥ 0.95, 30.2% had a PDC between 0.70 and < 0.95, and 16.8% had PDC < 0.70. Treatment gaps of at least ≥ 7-days (55.2%) and ≥ 30-days (26.2%) were common and 10.1% PWH discontinued treatment. Younger age, female sex, Black race, higher comorbidity score, mental health conditions, and substance use disorder were associated with higher odds of lower adherence and discontinuation (all p-values < 0.05). In conclusion, suboptimal adherence and treatment gaps in ART use were commonly observed among PWH in Medicare. Interventions and policies to mitigate barriers to adherence are urgently needed in this population to both improve their survival and increase the potential for ending the HIV epidemic in the US.
Cryptocurrency market microstructure: a systematic literature review
Authors: Almeida José , Gonçalves Tiago Cruz 
Published: October 2023

AbstractThis study contributes to the unconsolidated cryptocurrency literature, with a systematic literature review focused on cryptocurrency market microstructure. We searched Web of Science database and focused only on journals listed on 2021 ABS list. Our final sample comprises 138 research papers. We employed a quantitative and an integrative analysis, and revealed complex network associations, and a detailed research trending analysis. Our study provides a robust and systematic contribution to cryptocurrency literature by making use of a powerful and accurate methodology—the bibliographic coupling, also by only considering ABS academic journals, using a wider keyword scope, and not enforcing any restrictions regarding areas of knowledge, thus enhancing the contribution of extant literature by allowing the insights of more high-quality peripheral studies on the subject. The conclusions of this study are of extreme importance for researchers, investors, regulators, and the academic community in general. Our study provides high structured networking and clear information for research outlets and literature strands, for future studies on cryptocurrency investment, it also presents valuable insights to better understand the cryptocurrency market microstructure and deliver helpful information for regulators to effectively regulate cryptocurrencies.
Multiple-input neural networks for time series forecasting incorporating historical and prospective context
Authors: Palet João , Manquinho Vasco , Henriques Rui 
Published: October 2023

AbstractIndividual and societal systems are open systems continuously affected by their situational context. In recent years, context sources have been increasingly considered in different domains to aid short and long-term forecasts of systems’ behavior. Nevertheless, available research generally disregards the role of prospective context, such as calendrical planning or weather forecasts. This work proposes a multiple-input neural architecture consisting of a sequential composition of long short-term memory units or temporal convolutional networks able to incorporate both historical and prospective sources of situational context to aid time series forecasting tasks. Considering urban case studies, we further assess the impact that different sources of external context have on medical emergency and mobility forecasts. Results show that the incorporation of external context variables, including calendrical and weather variables, can significantly reduce forecasting errors against state-of-the-art forecasters. In particular, the incorporation of prospective context, generally neglected in related work, mitigates error increases along the forecasting horizon.
Pharmacokinetics, pharmacodynamics and efficacy of pemigatinib (a selective inhibitor of fibroblast growth factor receptor 1–3) monotherapy in Chinese patients with advanced solid tumors: a phase i clinical trial
Authors: Deng Ting , Zhang Le , Shi Yehui , Bai Guiying , Pan Yueyin , Shen Aizong , Han Xinghua , Yang Zhaoyi , Chen Mingxia , Zhou Hui , Luo Yang , Zheng Shirui , Ba Yi 
Published: October 2023

AbstractPemigatinib is a selective fibroblast growth factor receptor (FGFR)1–3 inhibitor and has demonstrated acceptable tolerability and clinical activity in advanced solid tumors in Western population. This phase I trial evaluated pharmacokinetics/pharmacodynamics (PK/PD) characteristics, preliminary safety and efficacy of pemigatinib in Chinese patients with advanced, solid tumors. Patients with unresectable advanced or metastatic solid tumors bearing FGF/FGFR1-3 alterations received oral pemigatinib at 13.5 mg once daily (QD) on a 2-weeks-on/1-week-off schedule. The primary endpoint was PK/PD characteristics; secondary endpoints were safety and efficacy. Twelve patients were enrolled (median age: 61 years, 58.3% males). PK data demonstrated pemigatinib (13.5 mg QD) was rapidly absorbed with a geometric mean elimination half-life of 11.3 h. The geometric mean values of maximum serum concentration and area under the plasma concentration–time curve from 0 to 24 h at steady state were 215.1 nmol/L and 2636.9 h·nmol/L, respectively. The mean clearance adjusted by bioavailability at steady state was low (11.8 L/h), and the apparent oral volume of distribution was moderate (170.5 L). The PD marker, serum phosphate level, increased on days 8 and 15 of cycle 1 (mean: 2.25 mg/dL, CV% [percent coefficient of variation]: 31.3%) and decreased to baseline post 1 week off. Three (25.0%) patients experienced grade ≥ 3 treatment-emergent adverse events. Partial response was confirmed in one patient with FGFR1-mutant esophageal carcinoma and one with FGFR2-mutant cholagiocarcinoma. Pemigatinib had similar PK/PD characteristics to Western population and demonstrated an acceptable safety profile and potential anti-cancer benefit in Chinese patients with FGF/FGFR1-3 altered, advanced, solid tumor. (ClinicalTrials.gov: NCT04258527 [prospectively registered February 6, 2020]).
Personality Disorders and Attachment Trauma in Adolescent Patients with Psychiatric Disorders
Authors: Gander Manuela , Buchheim Anna , Sevecke Kathrin 
Published: October 2023

AbstractThis study examined how personality disorders (PD) differ with respect to gender, attachment status and traumatic childhood experiences in adolescent psychiatric inpatients. In particular, we investigated attachment-related traumatic material underlying adolescent PD. Our sample consisted of 175 inpatient adolescents aged 14 to 18 years (77% female, Mage = 15.13, SD = 1.35; 23% male, Mage =14.85, SD = 1.41). Thirty-nine patients (22%) fulfilled the diagnostic criteria for a PD according to the SCID-II PD: 51% avoidant, 13% obsessive-compulsive, 13% antisocial, 19% borderline, 2% paranoid and 2% histrionic. In the total sample, eighty-three (47%) of our inpatients were classified with an unresolved attachment status using the Adult Attachment Projective Picture System (AAP). We did not find any significant gender differences for patients with and without a PD. Our results revealed a higher percentage of unresolved attachment status in patients with a PD. The in-depth analysis of the total sample showed that patients with a PD demonstrated more traumatic material in their attachment interviews indicating a greater severity of attachment trauma. Furthermore, patients with a PD reported higher scores on emotional and physical neglect. Intervention strategies targeting traumatic attachment-related themes might be useful to treat adolescents with PD.
Zero-Temperature Stochastic Ising Model on Planar Quasi-Transitive Graphs
Authors: De Santis Emilio , Lelli Leonardo 
Published: October 2023

AbstractWe study the zero-temperature stochastic Ising model on some connected planar quasi-transitive graphs, which are invariant under rotations and translations. The initial spin configuration is distributed according to a Bernoulli product measure with parameter $$ p\in (0,1) $$

p
∈
(
0
,
1
)

. In particular, we prove that if $$ p=1/2 $$

p
=
1
/
2

and the graph underlying the model satisfies the planar shrink property then all vertices flip infinitely often almost surely.
Estimation of wheelset equivalent conicity using the dual extended Kalman filter
Authors: Damsongsaeng Prapanpong , Persson Rickard , Stichel Sebastian , Casanueva Carlos 
Published: October 2023

AbstractThis paper presents the implementation of the dual extended Kalman filter (DEKF) to estimate wheelset equivalent conicity, an accurate understanding of which can facilitate the implementation of an effective model-based estimator. The estimator is developed to identify the wheelset equivalent conicity of high-speed railway vehicles while negotiating a curve. The designed DEKF estimator employs two discrete-time extended Kalman filters combining state and parameter estimators in parallel. This estimator uses easily available measurements from acceleration sensors measuring at axle boxes and a rate gyroscope measuring bogie frame yaw velocity. Two tests, including linearized and actual wheel-rail geometry, are carried out at a speed of 250 km/h with stochastic and deterministic track features using multibody simulations, SIMPACK. The results with acceptable estimation errors for both track conditions indicate adequate performance and reliability of the designed DEKF estimator. They demonstrate the feasibility of utilizing this DEKF method in rail vehicle applications as the knowledge of time-varying parameters is not only important in achieving an effective estimator for vehicle control but also useful for vehicle condition monitoring.
Three-dimensional sonification as a surgical guidance tool
Authors: Ziemer Tim 
Published: October 2023

AbstractInteractive Sonification is a well-known guidance method in navigation tasks. Researchers have repeatedly suggested the use of interactive sonification in neuronavigation and image-guided surgery. The hope is to reduce clinicians’ cognitive load through a relief of the visual channel, while preserving the precision provided through image guidance. In this paper, we present a surgical use case, simulating a craniotomy preparation with a skull phantom. Through auditory, visual, and audiovisual guidance, non-clinicians successfully find targets on a skull that provides hardly any visual or haptic landmarks. The results show that interactive sonification enables novice users to navigate through three-dimensional space with a high precision. The precision along the depth axis is highest in the audiovisual guidance mode, but adding audio leads to higher durations and longer motion trajectories.
Assessment of CAD/CAM Customized V Pattern Plate Versus Standard Miniplates Fixation in Mandibular Angle Fracture (Randomized Clinical Trial)
Authors: Saleh Hiba Obad , Moussa Basma Gamal , Salah Eddin Khaled Amr , Noman Samer Abduljabar , Salah Ahmed Mohammed 
Published: October 2023

Abstract
Background
Mandibular angle is the most common site for fractures, accounting for 23–42% of all cases of mandibular fractures. A customized fixation system is designed directly for a specific patient, which reduces the time spent bending and fixing the plate during the operation. This study was designed to assess the effect of CAD/CAM customized V pattern plate versus standard miniplates fixation in mandibular angle fracture.

Materials and Methods
This prospective randomized clinical trial included 26 patients suffering from mandibular angle fracture. Patients were selected from Oral and Maxillofacial Surgery Department, Faculty of Dentistry, Cairo University and Ahmed Maher Teaching Hospital. Study group (13) needed open reduction and internal fixation by using CAD/CAM V plate with surgical guide, while control group (13) needed open reduction and internal fixation by using standard superior–inferior miniplate fixation. The patients were then followed up for one year postoperatively.

Results
It showed that there was a statistical difference between the study group and the control group regarding postoperative pain, occlusion, and maximal interincisal opening (p value < 0.05%). There was no statistical difference (p value > 0.05%) in the postoperative panoramic radiograph that was taken within the postoperative 1st week in both groups, while the increase in mean bone density was statistically significant (p value < 0.05%) from 6 months to one year postoperatively.

Conclusion
CAD/CAM customized V pattern plate is a suitable plate design because it offers sufficient stability for normal bone healing, the creation of an ideal occlusion, an early return to function, and adequate postoperative radiographic outcomes.

Trial Registration
It was registered at ClinicalTrials.gov. Registration number: NCT03761524. Registration date: 03.12.2018.
Eco-evolutionary Logic of Mutualisms
Authors: Gokhale Chaitanya S. , Frean Marcus , Rainey Paul B. 
Published: October 2023

AbstractMutualistic interactions among members of different species are common, seemingly stable, and thus apparently enduring. This is at odds with standard mathematical models based solely on between-species interactions, which show mutualisms to be inherently unstable. Models incorporating parameters for punishment and reward strategies demonstrate that the range of conditions over which stability is observed can be extended; however, the role of community-level dynamics impacted by within-species interactions remains relatively unexplored. Here we develop a general and readily applicable approach for analysing a broad range of mutualisms. By incorporating within-species interactions, we show that mutualisms can be stably maintained across diverse environmental conditions without introducing changes to between-species interaction parameters. Further, a balance of within- and between-species interactions is sufficient to allow the persistence of mutualisms encountering ecological perturbations. Our simple and robust framework resonates with emerging empirical data highlighting the role of community-level interactions and population dynamics in maintaining mutualisms.