bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beziehung zwischen Operationszeit und Komplikationsrate nach endovaskulären Interventionen bei Patienten mit PAVK
Authors: Lisii C. , Heckenkamp J. , Sunderdiek U. , Debus E. S. , Grundmann R. T. 
Published: August 2023

Zusammenfassung
Fragestellung
In der vorliegenden Arbeit wird die Beziehung zwischen Operationszeit und postoperativen Komplikationen bei endovaskulärer Versorgung von Patienten mit Claudicatio intermittens (IC) und kritischer Extremitätenischämie (CLI) geprüft.

Material und Methode
Es wurden retrospektive Daten von 398 Patienten analysiert, die in der Zeit von 2016 bis 2018 am Marienhospital Osnabrück einem interventionellen Eingriff wegen IC (n = 274) oder CLI (n = 119) unterzogen wurden. Überprüft wurden perioperative und Spätkomplikationen sowie die jeweilige Operationszeit.

Ergebnisse
Die perioperative Komplikationsrate betrug über alle Stadien 18,6 % und die Spätkomplikationsrate, definiert als Komplikationsrate nach 1 Jahr, 34,5 %. Die perioperative Komplikationsrate betrug bei IC 14,2 % und bei CLI 28,6 % (p < 0,001), die Spätkomplikationsrate machte bei IC 26 % und bei CLI 54,8 % aus (p < 0,001). Im Gesamtkrankengut dauerten die Eingriffe, die mit einer periinterventionellen Komplikation assoziiert waren, 13,1 min länger als die Eingriffe ohne Komplikationen (58,1 min vs. 71,2 min, p = 0,023). Patienten ohne periinterventionelle Komplikationen blieben im Mittel 3,07 Tage stationär, Patienten mit periinterventionellen Komplikationen 8,08 Tage (p < 0,001). Eine signifikante Beziehung zwischen Dauer der Eingriffszeit und Länge des Krankenhausaufenthalts wurde beobachtet (R = 0,141, p = 0,005).

Schlussfolgerung
In der aktuellen Untersuchung konnte eine Korrelation zwischen Länge der Operationszeit und Höhe der Komplikationsrate beobachtet werden. Eingriffe bei CLI dauerten signifikant länger als bei IC und die Eingriffszeit ließ sich zu der Krankenhausaufenthaltsdauer korrelieren. Die Interventionszeit sollte standardmäßig ausgewertet werden, um Eingriffe zu definieren, die unter Umständen auch ambulant oder tageschirurgisch vorgenommen werden können.
Exploration of trade-offs between NVH and efficiency in bevel gear design
Authors: Grabovic Eugeniu , Artoni Alessio , Gabiccini Marco , Ciulli Enrico 
Published: August 2023

AbstractMinimizing NVH and friction-induced power losses is becoming paramount in the design of geared transmissions. The aim of this paper is to present an automatic methodology to explore Pareto-optimal designs of bevel gears when minimization of noise and frictional losses is essential. In the first part, a semi-empirical model to estimate frictional power losses under elasto-hydrodynamic lubrication is described. The model has been validated against experimental data available in the literature in previous works by the authors. The efficiency calculation is coupled with a state-of-the-art loaded tooth contact analysis (LTCA) tool to obtain accurate predictions of the instantaneous load shared by the mating tooth pairs during the meshing cycle. In the second part, an automatic framework based on multi-objective optimization (MOO) is presented where the tooth micro-geometry is systematically designed. The design variables are represented by few coefficients of a polynomial basis that embodies the tooth flank ease-off topography. To ensure manufacturability, the polynomial modifications are projected onto the feasible set of the machine-tool envelopes. This step is achieved through a state-of-the-art identification algorithm that the authors have developed in previous work. Frictional losses are estimated with the aforementioned model, whereas the NVH level is measured by the loaded transmission error (LTE), directly available from the simulation tool. The maximum contact pressures are limited by the material properties, thus proper nonlinear constraints are prescribed. Application to a test case involving the design of a spiral bevel gearset reveals that the methodology presented allows the designer to obtain Pareto-optimal solutions in a systematic and automatic manner.
Crossed helical gears—simulative studies and experimental results on non-involute geometries
Authors: Becker Linda , Tenberge Peter 
Published: August 2023

AbstractCrossed helical gear units generally consist of a steel worm and a plastic helical gear with an axis crossing angle. Due to the high transmission ratio in a small installation space, they are used in auxiliary and actuating gears such as in window regulators, assembly lines, household appliances and positioning tasks. This paper deals with a calculation approach for crossed helical gears to include non-involute flank geometries for new and optimized gearboxes. The geometry derivation for general flank contours based on a polynomial and extends the geometric possibilities beyond the special case of the involute form. The use of principal curvatures and principal curvature directions to describe freely curved surface geometries enables the calculation of flank pressures, efficiency and sliding paths in the entire contact area. Previous studies confirmed the advantages in the mentioned load characteristics for geometries deviating from the involute. Furthermore, parameter studies show the influences of the individual design parameters and demonstrate the effects on operating behavior, with those a design recommendation for crossed helical gear units with general flank geometries can be created. ZC and ZC‑S geometries are used as calculation examples. With regard to the use of these new geometries in applications, manufacturing is a crucial aspect. Grinding disc parameters as well as a three-roll size to control the worm manufacturing for general flank geometries are necessary and described below. In addition to the theoretical calculation, a ZC crossed helical gear geometry was designed, manufactured and compared to a ZI reference gear in test rigs. This confirmed the advantages in load-carrying capacity and efficiency increase resulting from the calculation and proved the benefits.
Pilot study on the probability of drug-drug interactions among direct oral anticoagulants (DOACs) and antiseizure medications (ASMs): a clinical perspective
Authors: Ranzato Federica , Roberti Roberta , Deluca Cristina , Carta Mariarosa , Peretti Alessia , Polo Diana , Perini Francesco , Russo Emilio , Di Gennaro Gianfranco 
Published: August 2023

Abstract

Background
There is little and controversial information about changes in plasma concentrations (PCs) or clinical events during coadministration of antiseizure medications (ASMs) and direct oral anticoagulants (DOACs). We aimed to explore possible determinants of dosage class among DOACs trough PCs when ASMs are co-administered and the relative risks. We also provided some clinical examples of patients’ management.

Methods
Data on adult patients concomitantly treated with ASMs (grouped in enzyme-inducing [I-ASMs], non-inducing [nI-ASMs], and levetiracetam [LEV]) and DOACs with at least one measurement of DOACs’ PC were retrospectively collected. The role of DOAC-ASM combinations in predicting PC class (ranging from I at ischemic/thromboembolic risk to IV at increased bleeding risk) was investigated by an ordered logit model, and the marginal probabilities of belonging to the four dosage classes were calculated.

Results
We collected 46 DOACs’ PCs out of 31 patients. There were 5 (10.9%) determinations in class I (4 out of 5 with concomitant I-ASMs) and 5 (10.9%) in class IV. The rivaroxaban/I-ASM combination was associated with lower DOAC dosages than rivaroxaban/LEV (OR: 0.00; 95% CI: 0.00–0.62). Furthermore, patient’s probability of being in class I was approximately 50% with the rivaroxaban/I-ASM combination, while apixaban, dabigatran, and edoxaban had the highest cumulative probability of being in class II or III despite the ASM used.

Conclusion
These preliminary results confirm the reduction of DOAC’s PC by I-ASMs and suggest a better manageability of apixaban, dabigatran, and edoxaban independently from the concomitant ASM, whereas rivaroxaban seems the most liable to PC alterations with I-ASMs.
The use of machine learning techniques for assessing the potential of organizational resilience
Authors: Ewertowski Tomasz , Güldoğuş Buse Çisil , Kuter Semih , Akyüz Süreyya , Weber Gerhard-Wilhelm , Sadłowska-Wrzesińska Joanna , Racek Elżbieta 
Published: August 2023

AbstractOrganizational resilience (OR) increases when the company has the ability to anticipate, plan, make decisions, and react quickly to changes and disruptions. Thus the company should focus on the creation and implementation of proactive and innovative solutions. Proactive processing of information requires modern technological solutions and new techniques used. The main focus of this study is to propose the best technique of Machine Learning (ML) in the context of accuracy for predicting the attributes of the organizational resilience potential. Based on the calculations, the research includes estimating them through the applications of regression and machine learning methods. The dataset is obtained from the results of the our survey based on the questionnaire consisting of 48 items mainly established on OR attributes formed on ISO 22316:2017 standard. Based on the outcomes of the study, it can be stated that the optimal technique in the context of accuracy for predicting the attributes of the organizational resilience potential is ensemble methods. The k-nearest neighbor (KNN) filtering-based data pre-processing technique for stacked ensemble classifier is used. The stacking is achieved with three base classifiers namely Random Forest (RF), Naive Bayes (NB), and Support Vector Machine (SVM). The chosen ensemble method should be implemented in an organization systemically according to the circle of innovation, and should support the quality of managerial decision-making process by increasing the accuracy of organizational resilience potential prediction, and indication of the importance of attributes and factors affecting the potential for organizational resilience.
Addition of docetaxel to S-1 results in significantly superior 5-year survival outcomes in Stage III gastric cancer: a final report of the JACCRO GC-07 study
Authors: Kodera Yasuhiro , Yoshida Kazuhiro , Kochi Mitsugu , Sano Takeshi , Ichikawa Wataru , Kakeji Yoshihiro , Sunakawa Yu , Takeuchi Masahiro , Fujii Masashi 
Published: August 2023

Abstract
Purpose
A phase III trial comparing S-1 and docetaxel with S-1 alone as postoperative chemotherapy for pathologically Stage III gastric cancer was conducted and clarified the superiority of the doublet in terms of 3-year relapse-free survival as the primary endpoint (67.7% versus 57.4%, hazard ratio [HR] 0.715, 95% confidence interval [CI] 0.587–0.871; p = 0.0008). This final report analyzed 5-year survival outcomes along with the incidence and pattern of late recurrences.

Patients and methods
Patients with histologically confirmed Stage III gastric cancer who underwent gastrectomy with D2 lymphadenectomy were randomly assigned to receive adjuvant chemotherapy with either S-1 plus docetaxel or S-1 alone. The same 912 patients who were evaluated for 3-year survival outcomes in the previous report were analyzed.

Results
Five-year overall survival rate of the S-1 plus docetaxel group (67.91%) was significantly superior to that in the S-1 group (60.27%; HR 0.752, 95% CI 0.613–0.922; p = 0.0059). The incidence of late recurrence at > 3 years after randomization was similar in both groups (7.3% versus 7.2%). Peritoneal dissemination was the most common pattern of late recurrence. Addition of docetaxel significantly suppressed relapse through the lymphatic (6.8% [95% CI 4.52–9.17] versus 15% [95% CI 11.76–18.30]; p < 0.0001) and hematogenous (10.2% [95% CI 7.37–12.94] versus 15.7% [95% CI 12.36–19.01]; p < 0.0137) pathways throughout the 5 years of follow-up.

Conclusion
The survival benefit of postoperative chemotherapy with S-1 and docetaxel in terms of 5-year overall survival rate was confirmed for patients with pathologically Stage III gastric cancer, although late recurrences were not prevented.
Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images
Authors: Ohashi Kohei , Nagatani Yukihiro , Yoshigoe Makoto , Iwai Kyohei , Tsuchiya Keiko , Hino Atsunobu , Kida Yukako , Yamazaki Asumi , Ishida Takayuki 
Published: August 2023

Abstract
Image quality assessments (IQA) are an important task for providing appropriate medical care. Full-reference IQA (FR-IQA) methods, such as peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), are often used to evaluate imaging conditions, reconstruction conditions, and image processing algorithms, including noise reduction and super-resolution technology. However, these IQA methods may be inapplicable for medical images because they were designed for natural images. Therefore, this study aimed to investigate the correlation between objective assessment by some FR-IQA methods and human subjective assessment for computed tomography (CT) images. For evaluation, 210 distorted images were created from six original images using two types of degradation: noise and blur. We employed nine widely used FR-IQA methods for natural images: PSNR, SSIM, feature similarity (FSIM), information fidelity criterion (IFC), visual information fidelity (VIF), noise quality measure (NQM), visual signal-to-noise ratio (VSNR), multi-scale SSIM (MSSSIM), and information content-weighted SSIM (IWSSIM). Six observers performed subjective assessments using the double stimulus continuous quality scale (DSCQS) method. The performance of IQA methods was quantified using Pearson’s linear correlation coefficient (PLCC), Spearman rank order correlation coefficient (SROCC), and root-mean-square error (RMSE). Nine FR-IQA methods developed for natural images were all strongly correlated with the subjective assessment (PLCC and SROCC > 0.8), indicating that these methods can apply to CT images. Particularly, VIF had the best values for all three items, PLCC, SROCC, and RMSE. These results suggest that VIF provides the most accurate alternative measure to subjective assessments for CT images.
Tree growth rate under urban limiting conditions
Authors: Muscas Desirée , Fornaciari Marco , Proietti Chiara , Ruga Luigia , Orlandi Fabio 
Published: August 2023

AbstractThe benefits of green areas mostly depend on the trees’ dimension, which in the urban environment is not as predictable as it is in woodland. Growth models based on tree height and tree diameter at breast height have been largely employed to predict tree growth also in urbanised contexts. However, city environments differ from natural ones, and in addition to geographical influence, they present high variability in growth conditions within a few metres. Different urban conditions may influence tree vertical and diametral growth. The present study aims to jointly consider the effect of urban environment, maintenance practices and available space on the size growth of some tree species. Dendrometrical, space, management and status parameters of the sampled trees were collected during field surveys 14 years apart. Tree height and diameter at breast height data interpolations were realised and charted by an open-source graphing calculator to build three different growth equations (linear, logarithmic and logistic) for each of the five species considered regardless of tree growth conditions. The comparison between the comprehensive best-fitting models realised within this study and a USA inventory-based study highlighted quite similar tree growth trends, probably due to the consideration of both constrained and unconstrained trees. Furthermore, a study on the curves of same-growth condition trees of the same species was conducted. Generally, heavy pruning techniques such as control and pollard pruning, characterised by the removal of a consistent part of the tree crown, stand out as the main growth-limiting factor for the different species.
Longitudinal Examination of Sexual Risk Behavior in College Students With and Without Attention-Deficit/Hyperactivity Disorder
Authors: Weyandt Lisa , DuPaul George J. , Shepard Emily , Labban Jeffrey D. , Francis Alyssa , Beatty Avery , Anastopoulos Arthur D. 
Published: August 2023

AbstractThe present study sought to identify differences in the rates and predictors of risky sexual behavior among college students with and without attention-deficit hyperactivity disorder (ADHD). Current ADHD diagnosis, medication status among those with ADHD, executive functioning, substance use, comorbid anxiety, comorbid depression, and gender were identified as potential predictors of increased risky sexual behavior. Multiple group latent growth curve modeling was used to estimate trajectories of risky sexual behavior across four years of college among college students with ADHD (nmedicated = 99, nunmedicated = 105) and a comparison group (n = 217) recruited from colleges throughout the eastern United States (M age = 18.23 years, 53% female, 70% White). First-year college students with ADHD reported significantly higher rates of sexual risk behavior than their peers without ADHD, with no significant differences found based on medication status. Students with ADHD who were taking medication for ADHD reported significant decreases in risky sexual behavior over time. Among college students with ADHD, anxiety was related to increased current risky sexual behavior in the medicated group, while depression was predictive of decreased future risky sexual behavior in the unmedicated group. Alcohol and cannabis use were significantly associated with increased mean levels of risky sexual behavior across all three groups, and cannabis use was associated with decreased future risky sexual behavior within the comparison group. Executive functioning deficits and male gender were predictive of risky sexual behavior within the comparison group. The results demonstrate that college students with ADHD, regardless of medication status, are at an increased likelihood of engaging in risky sexual behavior.
Incorporating Collaborative and Active Learning Strategies in the Design and Deployment of a Master Course on Computer-Assisted Scientific Translation
Authors: Zappatore Marco 
Published: August 2023

AbstractThis research aims to address the current gaps in computer-assisted translation (CAT) courses offered in bachelor’s and master’s programmes in scientific and technical translation (STT). A multi-framework course design methodology is proposed to support CAT teachers from the computer engineering field, improve student engagement, and promote computer-supported education, together with a balanced coverage of the most relevant topics in the CAT domain. STT is currently in high demand in many fields, requiring translators with sector-specific language skills and considerable computer literacy in order to manage translation projects with complex structures, and format heterogeneity. However, many STT curricula often lag behind current market demands, focusing primarily on language and translation theory, with less emphasis on CAT technologies and tools. Moreover, the lack of shared course design guidelines hinders the introduction of innovative teaching approaches based on collaborative learning. A novel multi-framework CAT course design methodology, named CATDeM, is proposed, based on the integration between an official European translation competence framework, real-life-mimicking laboratorial activities, and computer-supported collaborative learning, enriched with discussion case studies and role-playing experiences. A real-life case study is examined to illustrate and evaluate the implementation of CATDeM in two consecutive editions (2020/2021 and 2021/2022) of a one-semester compulsory CAT course in a M.A. degree in STT at the University of Salento (Italy). Students’ perceptions of translation technology and role-plays, as well as their attitudes towards the proposed CAT course are evaluated through a post-grading self-assessment questionnaire. Achieved results indicated successful student engagement and self-assessed improvement in translation, technical, and interpersonal skills. The importance given by students to role-playing experiences mimicking professional scenarios was also highlighted, paving the way for CATDeM to be adopted in similar contexts.
Composition and growth mechanism of nanoporous anodic fluoride films on stainless steel
Authors: Conde A. , Voces D. , de Damborenea J. J. , Arenas M. A. 
Published: August 2023

AbstractAnodizing of 304L stainless steel performed in ethylene glycol solution containing 0.1 M NH4F and 0.1 M H2O at constant voltage under static conditions at 5 °C results in the formation of porous anodic films. Several analysis techniques revealed a rather complex composition of the anodic layer for stainless steel compared to that reported in the literature for iron in the same anodizing conditions. Contrary to what might be expected, the anodic layers consist mainly of iron and chromium fluorides rather than oxides. Furthermore, the multilayer fitting of the Rutherford Backscattered spectroscopy shows a decreasing content of chromium and nickel fluorides from the outermost layer to the innermost layer at the metal/film interface, which is composed only of iron fluoride. Film-assisted dissolution mechanisms and the Gibbs-free energy appear to be responsible for the cation distribution and compounds formed throughout the anodic film. In addition, the thickness and final composition of the anodic layer appear to be dependent on the cleaning process carried out after the anodizing.
Graphical abstract
Valorization of potato starch wastewater using anaerobic acidification coupled with Chlorella sorokiniana cultivation
Authors: Mohamadnia Sonia , Thygesen Anders , Ghofrani-Isfahani Parisa , Monachese Anna Pia , Valverde-Pérez Borja , Angelidaki Irini 
Published: August 2023

AbstractWastewater from the potato processing industry called protamylasse is rich in proteins and carbohydrates that potentially can be valorized through cultivation of microalgae by mixotrophic metabolism. However, the complex organic compounds are a challenge, as algae grow best on simple compounds such as volatile fatty acids (VFA). This study demonstrates a new two-stage system. First, VFA production was achieved by testing mesophilic and thermophilic anaerobic acidification (AA) at a short hydraulic retention time (HRT; 3.3 and 5 days) resulting in the release of ammonium and phosphate. HRT of 5 days and thermophilic conditions was optimal considering the high acetate yield of 0.23 g and 22 ml CH4 per g volatile solids (VS). Then, Chlorella sorokiniana was chosen based on the obtained growth rate, and better adaption in ammonium-rich AA effluent after screening several tested microalgae (Chlorella sorokiniana, Chlorella vulgaris, Scenedesmus obliquus, and Haematococcus pluvialis). It was cultivated for valorization of nutrients and organics and successfully upscaled to 25 L photobioreactor (PBR) scale under both batch and continuous operation with high dosage of 25% (8.2 g L−1 of VS) of AA effluent at an HRT of 5 days in the PBR. Chlorella sorokiniana removed more than 99% of the chemical oxygen demand (COD) and the VFA during continuous flow PBR operation. This approach contributed to the final removal efficiency of 71%, 91%, and 78% for phosphorus, nitrate, and ammonia, respectively, and production of microalgae biomass with more than 73% protein. Thus, a promising process for simultaneous treatment of high strength wastewater for microalgal protein production.