bluuebunny/crossref_metadata_2025_split huggingface dataset:
Orthogeriatric co-management: differences in outcome between major and minor fractures
Authors: Wiedl Andreas , Förch Stefan , Fenwick Annabel , Lisitano Leonard , Röttinger Timon , Nachbaur Thilo , Otto Alexander , Mayr Edgar 
Published: April 2022

Abstract
Purpose
Literature shows that orthogeriatric co-management improves the outcomes of patients with hip fractures. Corresponding research with more diverse fragility fracture groups is lacking.
Therefore, an examination was performed prospectively as a 2 year-follow-up on an orthogeriatric co-managed ward, comparing relevant outcome parameters for major and minor fragility fractures.

Methods
All patients treated on an orthogeriatric co-managed ward from February 2014 to January 2015 were included and their injuries, orthogeriatric parameters such as the Barthel Index (BI), Parker Mobility Score (PMS) and place of residence (POR). Patients were separated into two groups of either immobilizing major (MaF) or non-immobilizing minor (MiF) fractures. 2 years later, a follow-up was conducted via telephone calls and questionnaires mailed to patients and/or their relatives.

Results
740 (574 major vs. 166 minor injuries) patients were initially assessed, with a follow-up rate of 78.9%. The in-house, 1-year, and 2-year-mortality rates were 2.7, 27.4, and 39.2%, respectively. Mortality was significantly higher for MaF in the short term, but not after 2 years. On average, during the observation period, patients regained their BI by 36.7 points (95% CI: 33.80–39.63) and PMS was reduced by 1.4 points (95% CI: 1.16–1.68). No significant differences were found in the readmission rate, change in BI, PMS or POR between the MaF and MiF groups.

Conclusion
The relevance of orthogeriatric treatment to improving functional and socioeconomic outcomes was confirmed. The similarity of the results from both fracture groups emphasizes the need for a multidisciplinary approach also for minor fractures.
Dermatologische Versorgung von älteren Menschen mit Psoriasis vor und nach Eintritt in ein Pflegeheim
Authors: von Stuelpnagel C. C. , Petersen J. , Augustin M. , Sommer R. 
Published: April 2022

Zusammenfassung
Hintergrund
Demografische Veränderungen bewirken einen steilen Anstieg der Anzahl der über 65-Jährigen. Damit verbunden ist die Zunahme der Anzahl pflegebedürftiger, multimorbid Erkrankter. National wie auch international gibt es keine Informationen insbesondere zur Versorgung von Psoriasiserkrankten im Setting Pflegeheim und zur Frage, wie diese durch den Eintritt in ein Pflegeheim beeinflusst wird.

Fragestellung
Ziel war es, anhand von Interviews bzw. Fokusgruppen die Ergebnisse vorausgehender Routinedatenanalysen zur Versorgung Psoriasiserkrankter in Pflegeheimen mit medizinischen Versorgern (Dermatologen, Allgemeinmediziner, Pflegedienstleitungen und Pflegekräfte) zu diskutieren, Schwierigkeiten der Versorgung aufzudecken und abschließend Handlungsempfehlungen für eine zukunftsfähige gerontodermatologische Versorgung abzuleiten.

Material und Methoden
Durchgeführt wurden qualitative Leitfaden-gestützte Interviews und Fokusgruppen mit Dermatologen (n = 5), Allgemeinmedizinern (n = 7), Pflegekräften (n = 7) und Pflegedienstleitungen (n = 2). Die Daten wurden inhaltsanalytisch ausgewertet.

Ergebnisse
Die Auswertung ergab insgesamt 344 Aussagen, die insgesamt 14 Hauptkategorien zugeordnet werden konnten. Die Ergebnisse zeigen, dass für die Versorgungsqualität von Menschen mit Hautkrankheiten, insbesondere Psoriasis, in Pflegeinrichtungen ein Verbesserungsbedarf besteht. Dieser zeigt sich sowohl auf ärztlicher als auch auf pflegerischer Ebene. Laut der Versorger (N = 21) kann dies insbesondere durch eine verstärkte digitale Versorgung, dermatologische Schulungen für Hausärzte und Pflegefachkräfte sowie engere Kooperationen zwischen den einzelnen Disziplinen adressiert werden.

Schlussfolgerung
Digitale Pflegekonsile, aber auch eine spezifische Leitlinie zur „Haut des alternden Menschen“ können von Nutzen sein, um die dermatologische Versorgungssituation im Pflegeheim zu verbessern und somit das Wohlbefinden der Betroffenen zu steigern.
Evaluation of reader performance during interpretation of breast cancer screening: the Recall and detection Of breast Cancer in Screening (ROCS) trial study design
Authors: Sechopoulos Ioannis , Abbey Craig K. , van der Waal Daniëlle , Geertse Tanya , Tetteroo Eric , Pijnappel Ruud M. , Broeders Mireille J.M. 
Published: April 2022

Abstract
The magnitude of the tradeoff between recall rate (RR) and cancer detection rate (CDR) in breast-cancer screening is not clear, and it is expected to depend on target population and screening program characteristics. Multi-reader multi-case research studies, which may be used to estimate this tradeoff, rely on enriched datasets with artificially high prevalence rates, which may bias the results. Furthermore, readers participating in research studies are subject to “laboratory” effects, which can alter their performance relative to actual practice. The Recall and detection Of breast Cancer in Screening (ROCS) trial uses a novel data acquisition system that minimizes these limitations while obtaining an estimate of the RR-CDR curve during actual practice in the Dutch National Breast Cancer Screening Program. ROCS involves collection of at least 40,000 probability-of-malignancy ratings from at least 20 radiologists during interpretation of approximately 2,000 digital mammography screening cases each. With the use of custom-built software on a tablet, and a webcam, this data was obtained in the usual reading environment with minimal workflow disruption and without electronic access to the review workstation software. Comparison of the results to short- and medium-term follow-up allows for estimation of the RR-CDR and receiver operating characteristics curves, respectively. The anticipated result of the study is that performance-based evidence from practice will be available to determine the optimal operating point for breast-cancer screening. In addition, this data will be useful as a benchmark when evaluating the impact of potential new screening technologies, such as digital breast tomosynthesis or artificial intelligence.

Key Points
• The ROCS trial aims to estimate the recall rate–cancer detection rate curve during actual screening practice in the Dutch National Breast Cancer Screening Program.
• The study design is aimed at avoiding the influence of the “laboratory effect” in usual observer performance studies.
• The use of a tablet and a webcam allows for the acquisition of probability of malignancy ratings without access to the review workstation software.
Assessing the large-scale drivers of precipitation in the northeastern United States via linear orthogonal decomposition
Authors: Sukhdeo Raymond , Ullrich Paul A. , Grotjahn Richard 
Published: April 2022

AbstractThis study examines the linear orthogonal modes associated with monthly precipitation in the northeastern United States, from CESM1 LENS (35 ensemble members, 1979–2005) and two reanalysis datasets (ERA5, 1950–2018 and NOAA-CIRES-DOE 20CRv3, 1950–2015). Calendar months are aggregated together, and any linear trends in data are removed. Using region-averaged precipitation anomaly time series and monthly anomalies for several global 2D atmospheric fields, a linear orthogonal decomposition method is implemented to iteratively extract time series (based on field and geographic location) of absolute maximum correlation. Linear modes associated with this method are then projected onto the full set of 2D fields to provide physical insight into the mechanisms involved in generating precipitation. In this region, the first mode is associated with vapor transport from the Atlantic seaboard, the second mode is characterized by westward vapor transport associated with extratropical cyclones, and the third mode captures vapor transport from the Gulf of Mexico during the fall and winter. However, the third mode is less robust in the spring and summer. Results are generally consistent across the datasets, and applying multiple linear regression with the linear modes to predict the precipitation anomalies produces R-squared values of around 0.54–0.65 for CESM1 LENS, and around 0.58–0.88 for reanalysis, with the lowest values generally in the spring and late summer. The influence of low-frequency climate variability on the modes is considered for CESM1 LENS, and the modes in late winter can be predicted with some success via a combination of several, prominent large-scale teleconnection patterns.
Surgical arthrolysis of the stiff elbow: a systematic review
Authors: Lanzerath Fabian , Wegmann Kilian , Hackl Michael , Uschok Stephan , Ott Nadine , Müller Lars P. , Leschinger Tim 
Published: April 2022

Abstract
Introduction
Stiffness after elbow injuries can severely limit daily life. If adequate conservative treatment does not result in satisfactory improvement of elbow function, surgical intervention should be considered. Whether an open or arthroscopic procedure is preferable is still a topic of debate and a systematic review of functional outcomes is lacking.

Materials and methods
We systematically reviewed the available literature searching electronic databases, MEDLINE using the PubMed interface and EMBASE, for studies published between 2013 and 2021. Primary objective was to compare open and arthroscopic arthrolysis’ functional outcomes, respectively, especially ROM and MEPS, as well as the accompanied complications. The PRISMA guidelines were applied.

Results
27 studies comprising 1666 patients were included. 1059 patients (63.6%) were treated with open arthrolysis, and 607 patients (36.4%) were treated with arthroscopic arthrolysis. The results presented indicate satisfactory outcomes in open and arthroscopic arthrolysis with regard to functional outcome parameters. Treatment success, defined as excellent or good results according to the Mayo Elbow Performance Score, among the patients treated with an open procedure was 88.8%; 6.3% required revision whereas 18.1% had complications without the need for revision surgery. Within the cohort of arthroscopically treated patients, treatment success was 91.8%. Revisions and complications without further surgical intervention were significantly less frequent than in the open cohort, at 1.6% and 9.1%, respectively.

Conclusions
Both open and arthroscopic arthrolysis provide good to excellent functional outcomes. Since the number of complications and revision increases with the invasiveness of the treatment, an arthroscopic procedure might be favored if feasible by indication. The role of forearm rotation and the use of a hinged external fixator remains of interest.

Study design
Level IV; Systematic review.
Is contrast-enhanced endoscopic ultrasound-guided fine needle biopsy better than conventional fine needle biopsy? A retrospective study in a medical center
Authors: Lai Jian-Han , Lin Ching-Chung , Lin Hsiang-Hung , Chen Ming-Jen 
Published: April 2022

Abstract
Background
Contrast-enhanced endoscopic ultrasound-guided fine needle aspiration (CE-EUS-FNA) could help clinicians to precisely locate and puncture lesions, but its effect on the diagnostic yield improvement is controversial. We designed this study to observe the additional benefit of using contrast in EUS-guided tissue sampling while performing fine needle biopsy (FNB) instead of FNA, as FNB results in a higher diagnostic accuracy.

Method
Patients who underwent EUS-FNB performed by a single medical team from January 2019 to March 2021 were included in this study. We analyzed the cytopathological diagnostic accuracy rate and number of needle passes between groups who underwent FNB with and without contrast.

Result
We divided 133 patients who were diagnosed with a malignancy into two groups according to whether they underwent CE-EUS-FNB (n = 48) or conventional EUS-FNB (n = 85). The CE-EUS-FNB group had an equal diagnostic accuracy rate with fewer needle passes compared with the conventional EUS-FNB group. There was no significant trend change in the success cytopathological diagnostic rate for experienced endoscopists for EUS-FNA.

Conclusion
CE-EUS-FNB had fewer needle passes but no additional benefit for diagnostic yield improvement. There was no difficult threshold for CE-EUS-FNB for endoscopists who were well trained in conventional FNA.
An application of machine learning regression to feature selection: a study of logistics performance and economic attribute
Authors: Jomthanachai Suriyan , Wong Wai Peng , Khaw Khai Wah 
Published: April 2022

AbstractThis study demonstrates how to profit from up-to-date dynamic economic big data, which contributes to selecting economic attributes that indicate logistics performance as reflected by the Logistics Performance Index (LPI). The analytical technique employs a high degree of productivity in machine learning (ML) for prediction or regression using adequate economic features. The goal of this research is to determine the ideal collection of economic attributes that best characterize a particular anticipated variable for predicting a country’s logistics performance. In addition, several potential ML regression algorithms may be used to optimize prediction accuracy. The feature selection of filter techniques of correlation and principal component analysis (PCA), as well as the embedded technique of LASSO and Elastic-net regression, is utilized. Then, based on the selected features, the ML regression approaches artificial neural network (ANN), multi-layer perceptron (MLP), support vector regression (SVR), random forest regression (RFR), and Ridge regression are used to train and validate the data set. The findings demonstrate that the PCA and Elastic-net feature sets give the closest to adequate performance based on the error measurement criteria. A feature union and intersection procedure of an acceptable feature set are used to make a more precise decision. Finally, the union of feature sets yields the best results. The findings suggest that ML algorithms are capable of assisting in the selection of a proper set of economic factors that indicate a country's logistics performance. Furthermore, the ANN was shown to be the best effective prediction model in this investigation.
Free surface equatorial flows in spherical coordinates with discontinuous stratification depending on depth and latitude
Authors: Martin Calin , Petruşel Adrian 
Published: April 2022

AbstractWe derive and subsequently analyze an exact solution of the geophysical fluid dynamics equations which describes equatorial flows (in spherical coordinates) and has a discontinuous fluid stratification that varies with both depth and latitude. More precisely, this solution represents a steady, purely–azimuthal equatorial two-layer flow with an associated free-surface and a discontinuous distribution of the density which gives rise to an interface separating the two fluid regions. While the velocity field and the pressure are given by means of explicit formulas, the shape of the free surface and of the interface are given in implicit form: indeed we demonstrate that there is a well-defined relationship between the imposed pressure at the free-surface and the resulting distortion of the surface’s shape. Moreover, imposing the continuity of the pressure along the interface generates an equation that describes (implicitly) the shape of the interface. We also provide a regularity result for the interface defining function under certain assumptions on the velocity field.
On a bivariate copula for modeling negative dependence: application to New York air quality data
Authors: Ghosh Shyamal , Bhuyan Prajamitra , Finkelstein Maxim 
Published: April 2022

AbstractIn many practical scenarios, including finance, environmental sciences, system reliability, etc., it is often of interest to study the various notion of negative dependence among the observed variables. A new bivariate copula is proposed for modeling negative dependence between two random variables that complies with most of the popular notions of negative dependence reported in the literature. Specifically, the Spearman’s rho and the Kendall’s tau for the proposed copula have a simple one-parameter form with negative values in the full range. Some important ordering properties comparing the strength of negative dependence with respect to the parameter involved are considered. Simple examples of the corresponding bivariate distributions with popular marginals are presented. Application of the proposed copula is illustrated using a real data set on air quality in the New York City, USA.
Early timing analysis based on scenario requirements and platform models
Authors: Holtmann Jörg , Deantoni Julien , Fockel Markus 
Published: April 2022

AbstractDistributed, software-intensive systems (e.g., in the automotive sector) must fulfill communication requirements under hard real-time constraints. The requirements have to be documented and validated carefully using a systematic requirements engineering (RE) approach, for example, by applying scenario-based requirements notations. The resources of the execution platforms and their properties (e.g., CPU frequency or bus throughput) induce effects on the timing behavior, which may lead to violations of the real-time requirements. Nowadays, the platform properties and their induced timing effects are verified against the real-time requirements by means of timing analysis techniques mostly implemented in commercial-off-the-shelf tools. However, such timing analyses are conducted in late development phases since they rely on artifacts produced during these phases (e.g., the platform-specific code). In order to enable early timing analyses already during RE, we extend a scenario-based requirements notation with allocation means to platform models and define operational semantics for the purpose of simulation-based, platform-aware timing analyses. We illustrate and evaluate the approach with an automotive software-intensive system.
Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts
Authors: Gandomkar Ziba , Khong Pek Lan , Punch Amanda , Lewis Sarah 
Published: April 2022

AbstractOcclusion-based saliency maps (OBSMs) are one of the approaches for interpreting decision-making process of an artificial intelligence (AI) system. This study explores the agreement among text responses from a cohort of radiologists to describe diagnostically relevant areas on low-dose CT (LDCT) images. It also explores if radiologists’ descriptions of cases misclassified by the AI provide a rationale for ruling out the AI’s output. The OBSM indicating the importance of different pixels on the final decision made by an AI were generated for 10 benign cases (3 misclassified by the AI tool as malignant) and 10 malignant cases (2 misclassified by the AI tool as benign). Thirty-six radiologists were asked to use radiological vocabulary, typical to reporting LDCT scans, to describe the mapped regions of interest (ROI). The radiologists’ annotations were then grouped by using a clustering-based technique. Topics were extracted from the annotations and for each ROI, a percentage of annotations containing each topic were found. Radiologists annotated 17 and 24 unique ROIs on benign and malignant cases, respectively. Agreement on the main label (e.g., “vessel,” “nodule”) by radiologists was only seen in only in 12% of all areas (5/41 ROI). Topic analyses identified six descriptors which are commonly associated with a lower malignancy likelihood. Eight common topics related to a higher malignancy likelihood were also determined. Occlusion-based saliency maps were used to explain an AI decision-making process to radiologists, who in turn have provided insight into the level of agreement between the AI’s decision and radiological lexicon.
Roadkill mortality decreases after road inauguration
Authors: Sacramento Enrique , Rodríguez Beneharo , Rodríguez Airam 
Published: April 2022

AbstractThe main factors affecting specific road casualty rates are related to life-history traits, road features, and landscape variables. After road inauguration, roadkill rate and spatial and temporal patterns can change substantially due to changes in traffic intensity, avoidance behaviour or local population decline. Despite the Canary Islands constituting a biodiversity hotspot, Canarian ecosystems are highly threatened because of the high human density, and studies on anthropogenic sources of mortality of wildlife are scarce. Here, we counted roadkills during two annual cycles after the inauguration of an 8.8-km-road section on Tenerife, the largest and most densely populated island of the Canaries. We counted 694 roadkills belonging to a minimum of 19 species of birds and six species of introduced mammals. Seasonal variation was apparent during both annual cycles, particularly for birds, being the majority of victims concentrated in May and June. Although traffic intensity increased since road inauguration, the number of roadkills decreased significantly in the second annual cycle. The reduction in road mortality in the second cycle could be related to some non-mutually exclusive factors such as population decline, road avoidance, or weather conditions. As road networks of the Canary Islands are still increasing, further studies quantifying road mortality impacts on Canarian ecosystems and threatened species are urgently needed to guarantee the management and conservation of its fragile wildlife.
Successive generation introduction time for high technological products: an analysis based on different multi-attribute utility functions
Authors: Anand Adarsh , Agarwal Mohini , Aggrawal Deepti , Hughes Laurie , Maroufkhani Parisa , Dwivedi Yogesh K. 
Published: April 2022

AbstractHighly competitive markets have forced many organizations to come up with generational products. The relevance, appropriateness, added functionality, and sustainability are some of the potential reasons behind the launch of a new generation over the previous generation. The launch time of the new generation is dependent on the performance of the existing generation in the market which can be measured based on the attributes viz. the adoption behavior of the customer and indicator of adoption rate. The introduction of a new generation greatly affects the market of the existing generation of the product and huge capital is ought to be invested in feature enhancement in the latest generation as compared to the existing version. Consequently, the investment made in production and marketing activities should be economical which significantly influences the launch time. Based on these attributes, the focus is on determining the launch time of the successive generation of the product. In this paper, three conflicting and contrasting attributes: customer adoption behavior, adoption rate indicator, and cost are proposed. The aim is to study and understand the impact of the trade-off for these attributes on the launch time of successive generations of the product. To examine the tradeoff between these attributes, multi-attribute utility theory has been used. The proposed decision approach is based on three different weighted combinations of the utility function in multi-attribute utility theory. Additionally, three different forms of utility functions viz, the weighted arithmetic, geometric and harmonic forms have been used in understanding their superiority over one another. For validation purposes, the case in which an organization launches successive generations of a durable product for which demand is characterized by an innovation diffusion process has been assessed.