bluuebunny/crossref_metadata_2025_split huggingface dataset:
Einleitung: Kontrolle über Daten
Authors: Liebchen Tilman 
Published: October 2022

ZusammenfassungDie Frage nach der Kontrolle über Daten spiegelt sich in populären, aber wenig konkreten Begriffen wie „Datenhoheit“ oder „Datensouveränität“ wieder. In dieser Einleitung zum dritten Teil des Buches werden kurz die Themenfelder und Zielstellungen der folgenden drei Beiträge eingeführt, die sich u. a. mit der Datenhoheit aus Perspektive der Nutzenden, einer Einführung in Verfahren zur Anonymisierung und Pseudonymisierung sowie dem Konzept der sogenannten Datennutzungskontrolle befassen. Damit werden rechtliche, organisatorische und technische Bausteine für die Umsetzung von Datensouveränität beschrieben, die Datenschutz, Informationssicherheit und Vertraulichkeit in datenzentrierten Wertschöpfungsnetzen ermöglichen.
Einleitung: Daten als Wirtschaftsgut
Authors: Bürger Matthias , Peneva Kristina 
Published: October 2022

ZusammenfassungDer technologische Fortschritt im Bereich digitaler Technologien und die zunehmende Verfügbarkeit unterschiedlichster (produktionsrelevanter) Daten bieten Unternehmen die Möglichkeit, sich mit neuen Geschäftsmodellen vom Wettbewerb zu differenzieren und neue Wertschöpfungspotenziale zu heben. Dabei sehen sich Unternehmen aber auch vor nicht zu unterschätzenden Herausforderungen. In dieser Einleitung werden die relevanten Themenstellungen aufgegriffen und auf die entsprechenden Beiträge in diesem Buch verwiesen. Zu den angesprochenen Themen gehört unter anderem die Überführung produktzentrierter in nutzungsbezogene Geschäftsmodelle. Hinzu kommt das Verständnis der Besonderheiten sowie die daran ausgerichtete annahmebasierte Entwicklung datenbasierter Geschäftsmodelle. Darüber hinaus wird die Preisbestimmung für Daten beziehungsweise datenbasierte Produkte und Dienstleistungen betrachtet. Abschließend richtet sich der Fokus auf die Bewertung von Datenbeständen und wie diese in die Bilanz und Bewertung eines Unternehmens einbezogen werden können.
Metal functionally graded gyroids: additive manufacturing, mechanical properties, and simulation
Authors: Caiazzo Fabrizia , Alfieri Vittorio , Guillen Diego Gonzalo , Fabbricatore Annalaura 
Published: October 2022

AbstractFunctionally graded materials raise considerable interest in the biomedical research. In particular, gyroid structures are suitable for bone tissue engineering applications, allowing to emulate the porosity of the inner part of the bone. In this frame, the mechanical properties of 17–4 PH steel gyroids made by additive manufacturing have been investigated. Three design methods have been implemented, i.e., thickness graded, size graded, and uniform, to address the lack of knowledge in the area of stainless-steel scaffolds aiming at providing a map of the mechanical properties. Compressive mechanical properties absorbed energy and absorption efficiency have been found for the aforementioned design methods. Furthermore, defects and collapse behavior have been analyzed: imperfections have been detected in the thin-walled areas of the graded samples. Nevertheless, under given conditions, the graded samples have mechanical properties comparable to those of uniform ones, exhibiting a controlled layer-by-layer collapse mechanism and consequent weight reduction. The Gibson-Ashby models have been implemented, and the calibration coefficients have been compared with other research works. A FEM-based numerical model has been proposed to reproduce the mechanical properties of the mentioned structures finding critical issues in the representation of defects. In this frame, the resulting Gibson Ashby calibration coefficients are in good agreement with the literature and reveal the graded samples have a bending-dominating behavior sustaining larger strains than the uniform case, giving the ground for high energy absorption applications. Furthermore, the FEM analyses are in good agreement with the literature providing a reliable tool to further investigate the metal functionally graded gyroid field.
Additive manufacturing for capacitive liquid level sensors
Authors: Stano Gianni , Di Nisio Attilio , Lanzolla Anna Maria , Ragolia Mattia Alessandro , Percoco Gianluca 
Published: October 2022

AbstractA new manufacturing wave concerning the Additive Manufacturing of sensors is spreading: several benefits, such as cost, time, and manual task reduction, can be achieved. The aim of the present research is the one-shot Additive Manufacturing of a low-cost capacitive sensor for liquid level sensing. The Material extrusion (MeX) technology was used to fabricate the proposed sensors (composed of a flexible substrate, two conductive electrodes, and a top flexible coverage), and a Design for Additive Manufacturing (DfAM) approach in conjunction with the 3D printing force analysis was performed. Very thin conductive tracks (0.5 mm) were manufactured to obtain a sensor having a final capacitance value of 125 pF, readable by common laboratory instrumentation. The sensor has been tested for the liquid level sensing using two different liquids, i.e., sunflower oil and distilled water, exhibiting very good sensitivity of 0.078 $$\frac{pF}{mm}$$

pF

mm

and 0.79 $$\frac{pF}{mm}$$

pF

mm

, respectively, with high repeatability, thus obtaining sensing performances comparable with that of more expensive sensors found in literature. Moreover, the proposed sensor showed high linearity (R2 ≥ 0.997), which resulted in a maximum propagated level error of 1.4 mm. The present research proves that the inexpensive MeX technology can be successfully employed for the fabrication of high-performance capacitive sensors: the sensor manufacturing cost (related to raw materials) is 0.38 €, and no manual assembly tasks were performed. This study lays the foundation for the one-shot fabrication of smart structures with capacitive sensors on board, saving manufacturing time and cost.
Timing is Everything: Surgical Outcomes for SARS‐CoV‐2 Positive Patients
Authors: Codner Jesse A. , Archer Ryan H. , Lynde Grant C. , Sharma Jyotirmay 
Published: October 2022

AbstractBackgroundA debate remains on how long to postpone surgery after testing positive for severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). We aimed to determine surgical outcomes at different time points after a positive SARS‐CoV‐2 test.MethodsThis cohort study included non‐preoperative critically ill adult surgical patients from 5/2020–5/2021 and a subset of SARS‐CoV‐2 positive patients 15–30 days before surgery from 5/2020–12/2021. Demographics, comorbidities, surgical variables, and outcomes were compared between SARS‐CoV‐2 positive patients within 50 days before surgery to SARS‐CoV‐2 negative surgical patients. Cases were stratified based on the timing of SARS‐CoV‐2 positivity before surgery in days (< 15, 15–30, > 30). Outcomes were compared between strata and against SARS‐CoV‐2 negative controls. A multivariable model was built to determine the association that the timing of SARS‐CoV‐2 positivity has on the odds of a major complication.ResultsThe SARS‐CoV‐2 positive cohort had 262 patients compared to 1,840 SARS‐CoV‐2 negative patients. Timing strata contained 145 (< 15 days), 53 (15–30 days), and 64 (> 30 days). The SARS‐CoV‐2 positive group had a higher incidence of comorbidities (87.4% vs. 57.2%) and underwent more emergent surgery (45.7% vs. 9.3%). The odds of major complications in patients positive for SARS‐CoV‐2 before surgery were 1.88 (1.13–3.15) (< 15 days), 0.43 (0.14–1.30) (15–30 days), and 0.98 (0.44–2.21) (31–50 days) times the odds in SARS‐CoV‐2 negative surgery patients when controlling for other variables.ConclusionTiming of SARS‐CoV‐2 positivity before surgery has an impact on major complications. In certain cases, it may be appropriate to postpone surgery 14 days after SARS‐CoV‐2 positivity.
An epidemic model with short-lived mixing groups
Authors: Ball Frank , Neal Peter 
Published: October 2022

AbstractAlmost all epidemic models make the assumption that infection is driven by the interaction between pairs of individuals, one of whom is infectious and the other of whom is susceptible. However, in society individuals mix in groups of varying sizes, at varying times, allowing one or more infectives to be in close contact with one or more susceptible individuals at a given point in time. In this paper we study the effect of mixing groups beyond pairs on the transmission of an infectious disease in an SIR (susceptible $$\rightarrow $$
→
infective $$\rightarrow $$
→
recovered) model, both through a branching process approximation for the initial stages of an epidemic with few initial infectives and a functional central limit theorem for the trajectories of the numbers of infectives and susceptibles over time for epidemics with many initial infectives. We also derive central limit theorems for the final size of (i) an epidemic with many initial infectives and (ii) a major outbreak triggered by few initial infectives. We show that, for a given basic reproduction number $$R_0$$

R
0

, the distribution of the size of mixing groups has a significant impact on the probability and final size of a major epidemic outbreak. Moreover, the standard pair-based homogeneously mixing epidemic model is shown to represent the worst case scenario, with both the highest probability and the largest final size of a major epidemic.
Prenatal ultrasound in fetuses with polycystic kidney appearance — expanding the diagnostic algorithm
Authors: Simonini Corinna , Fröschen Eva-Maria , Nadal Jennifer , Strizek Brigitte , Berg Christoph , Geipel Annegret , Gembruch Ulrich 
Published: October 2022

Abstract
Purpose
Report on the diagnosis of prenatally detected fetal kidneys with bilateral polycystic appearance in a single center between 1999 and 2020 with special focus on renal morphology and biometry, amniotic fluid and extrarenal findings and proposal for an diagnostic algorithm.

Methods
Retrospective observational study including pregnancies with prenatally detected kidneys with bilateral polycystic appearance (n = 98). Cases and outcomes were compared according to prenatal findings with special focus on renal morphology, amount of amniotic fluid, and presence of extrarenal abnormalities.

Results
Most frequent diagnoses were autosomal recessive polycystic kidney disease (ARPKD, 53.1%), Meckel–Gruber syndrome (MKS, 17.3%) and autosomal dominant polycystic kidney disease (ADPKD, 8.2%). Other diagnoses included: Joubert-, Jeune-, McKusick–Kaufman- and Bardet–Biedl syndrome, overgrowth syndromes, Mainzer–Saldino syndrome and renal tubular dysgenesis.
Renal abnormalities most frequently observed were hyperechogenic parenchyma, kidney enlargement, changes of corticomedullary differentiation and cystic changes of various degree. Oligo- and anhydramnios were mainly seen in ARPKD, RTD and second-trimester MKS. Extrarenal findings included skeletal (35.7%) and cardiac (34.7%) abnormalities as well as abnormalities of the central nervous system (27.6%).

Conclusion
Gestational age at manifestation, kidney size, visibility of cysts, echogenicity, amniotic fluid volume, and the presence of associated extrarenal malformations allow to differentiate between the most frequent underlying diseases presenting with bilateral polycystic kidneys on prenatal ultrasound by following a diagnostic algorithm.
Random generation and scaling limits of fixed genus factorizations into transpositions
Authors: Féray Valentin , Louf Baptiste , Thévenin Paul 
Published: October 2022

AbstractWe study the asymptotic behaviour of random factorizations of the n-cycle into transpositions of fixed genus $$g>0$$

g
>
0

. They have a geometric interpretation as branched covers of the sphere and their enumeration as Hurwitz numbers was extensively studied in algebraic combinatorics and enumerative geometry. On the probabilistic side, several models and properties of permutation factorizations were studied in previous works, in particular minimal factorizations of cycles into transpositions (which corresponds to the case $$g=0$$

g
=
0

of this work). Using the representation of factorizations via unicellular maps, we first exhibit an algorithm which samples an asymptotically uniform factorization of genus g in linear time. In a second time, we code a factorization as a process of chords appearing one by one in the unit disk, and we prove the convergence (as $$n\rightarrow \infty $$

n
→
∞

) of the process associated with a uniform genus g factorization of the n-cycle. The limit process can be explicitly constructed from a Brownian excursion. Finally, we establish the convergence of a natural genus process, coding the appearance of the successive genera in the factorization.
The impact of prior endoscopic or surgical therapy on open Zenker’s diverticulum surgery: analysis on a large single center cohort
Authors: Dimpel Rebekka , Jell Alissa , Reim Daniel , Berlet Maximilian , Kranzfelder Michael , Vogel Thomas , Friess Helmut , Feussner Hubertus , Wilhelm Dirk 
Published: October 2022

Abstract
Background
Endoscopic treatment of Zenker’s diverticulum is an attractive minimally invasive alternative compared to the classic open approach. However, increased recurrence rate were reported. In case of relapse, endoscopic therapy might be repeated, or alternatively open surgery is performed. This study aimed to identify potential differences in the outcomes between primary or secondary surgical treatment in Zenker’s diverticulum.

Methods
From January 2003 to April 2019, 227 subsequent patients underwent surgical diverticulectomy and cervical myotomy at the surgical department of TUM. 41 of 227 patients had received previous therapy, either open or endoscopic. Perioperative parameters in priorly untreated patients were retrospectively compared to those after previous therapy (mostly endoscopic) with special regard to perioperative data and postoperative complications. Univariate and multivariate regression analyses were performed to identify predictors for postoperative complications.

Results
We could show that the number of complications (p = 0.047) in pretreated patients is significant higher as well as the severity after Clavien–Dindo (p = 0.025). Stapler line leakage, wound infections, and operative revision rate was higher also pretreated group. Pretreatment and surgery time showed a significant association with postoperative complications in univariate analysis. In multivariate analysis, pretreatment remained a significant independent predictor of complications.

Conclusion
The present data indicate that endoscopic therapy might represent a risk factor for postoperative complications in case of relapse surgery. Therefore primary open surgery should be debated in patients with an increased high risk of relapse.

Graphical abstract
A narrative review on the non-surgical treatment of chronic postoperative inguinal pain: a challenge for both surgeon and anaesthesiologist
Authors: van Veenendaal N. , Foss N. B. , Miserez M. , Pawlak M. , Zwaans W. A. R. , Aasvang E. K. 
Published: October 2022

Abstract
Introduction
Chronic pain is one of the most frequent clinical problems after inguinal hernia surgery. Despite more than two decades of research and numerous publications, no evidence exists to allow for chronic postoperative inguinal pain (CPIP) specific treatment algorithms.

Methods
This narrative review presents the current knowledge of the non-surgical management of CPIP and makes suggestions for daily practice.

Results
There is a paucity for high-level evidence of non-surgical options for CPIP. Different treatment options and algorithms have been published for chronic pain patients in the last decades.

Discussion and conclusion
It is suggested that non-surgical treatment is introduced in the management of all CPIP patients. The overall approach to interventions should be pragmatic, tiered and multi-interventional, starting with least invasive and only moving to more invasive procedures upon lack of effect. Evaluation should be multidisciplinary and should take place in specialized centres. We strongly suggest to follow general guidelines for treatment of persistent pain and to build a database allowing for establishing CPIP specific evidence for optimal analgesic treatments.
Surface functionalization of low-cost textile-based microfluidics for manipulation of electrophoretic selectivity of charged analytes
Authors: Khan Jawairia Umar , Sayyar Sepidar , Jin Dayong , Paull Brett , Innis Peter C. 
Published: October 2022

AbstractTextile-based microfluidics offer new opportunities for developing low-cost, open surface-assessable analytical systems for the electrophoretic analysis of complex chemical and biological matrixes. In contrast to electrophoretic fluidic transport in typical chip-based enclosed capillaries where direct access to the sample zone during analysis is a real challenge. Herein, we demonstrate that electrophoretic selectivity could be easily manipulated on these inverted low-cost bespoke textile substrates via a simple surface-functionalization to manipulate, redirect, extract, and characterize charged analytes. This simple approach enables significant improvement in the electrophoretic separation and isotachophoretic (ITP) preconcentration of charged solutes at the surface of open surface-accessible 3D textile constructs. In this work, polyester 3D braided structures have been developed using the conventional braiding technique and used as the electrophoretic substrates, which were modified by dip-coating with polycationic polymers such as chitosan and polyethyleneimine (PEIn). The surface functionalization resulted in the modulation of the electroosmotic flow (EOF) and electrophoretic mobilities of the charged solutes with respect to the unmodified substrates. Chitosan outperformed PEIn in terms of efficient electrophoretic separation and isotachophoretic stacking of an anionic solute. However, PEIn modification resulted in significant suppression of the EOF over a broad range of pH values from 3 to 9 and exhibited fast EOF at acidic pH compared to controlled polyester, which could be promising for the analysis of basic proteins. These findings suggest a great potential for the development of affordable surface-accessible textile-based analytical devices for controlling the specific migration, direction, analysis time, and separation and preconcentration of charged analytes.
Graphical abstract
Constructing agri-food for finance: startups, venture capital and food future imaginaries
Authors: Sippel Sarah Ruth , Dolinga Moritz 
Published: October 2022

AbstractOver the past decade, investments in agricultural and food technology startups have grown to previously unknown dimensions. Mushrooming agri-food tech startups that promise to solve critical issues in the agri-food system through technological innovation are increasingly perceived as an attractive new investment opportunity for venture capitalists and investors. This paper investigates how digital agri-food technologies are narrated, constructed, and promoted for financial investment. Through qualitative content analysis of agri-food tech industry reports, articles, and commentaries we trace the logic, rationales, and narratives of this most recent investment rush, and reveal its immanent techno-finance fixes. We conceptualize the agri-food imaginaries produced within the agri-food tech discourse as financialized imaginaries, and argue that they are specifically tailored to construct, incentivize, and legitimize this new agri-food tech space for financial investment. In their attempt to raise money from investors, venture capital firms further fuel this development by discursively creating an ‘agri-food tech investment rush’—similar to the land and gold rushes of the past. Investments in agri-food tech startups, however, are presented to investors as both a profitable investment opportunity as well as a moral obligation, allowing for food production to cope with neo-malthusian and environmental threats. This paper contributes to our understanding of digitization as a socio-technical project, which includes the active envisioning and promotion of desirable agri-food futures.
Metabolic and physical function are improved with lifelong 15% calorie restriction in aging male mice
Authors: Peters Emily C. , Safayan Luke , Marx Tyler J. , Ngu Emily , Vasileva Anastasiia , Zappia India , Powell William H. , Duca Frank A. , Stern Jennifer H. 
Published: October 2022

AbstractChronic calorie restriction (CR) results in lengthened lifespan and reduced disease risk. Many previous studies have implemented 30–40% calorie restriction to investigate these benefits. The goal of our study was to investigate the effects of calorie restriction, beginning at 4 months of age, on metabolic and physical changes induced by aging. Male C57BL/6NCrl calorie restricted and ad libitum fed control mice were obtained from the National Institute on Aging (NIA) and studied at 10, 18, 26, and 28 months of age to better understand the metabolic changes that occur in response to CR in middle age and advanced age. Food intake was measured in ad libitum fed controls to assess the true degree of CR (15%) in these mice. We found that 15% CR decreased body mass and liver triglyceride content, improved oral glucose clearance, and increased all limb grip strength in 10- and 18-month-old mice. Glucose clearance in ad libitum fed 26- and 28-month-old mice is enhanced relative to younger mice but was not further improved by CR. CR decreased basal insulin concentrations in all age groups and improved insulin sensitivity and rotarod time to fall in 28-month-old mice. The results of our study demonstrate that even a modest reduction (15%) in caloric intake may improve metabolic and physical health. Thus, moderate calorie restriction may be a dietary intervention to promote healthy aging with improved likelihood for adherence in human populations.
Radiotherapy for meningiomas
Authors: Chen William C. , Perlow Haley K. , Choudhury Abrar , Nguyen Minh P. , Mirchia Kanish , Youngblood Mark W. , Lucas Calixto-Hope G. , Palmer Joshua D. , Magill Stephen T. , Raleigh David R. 
Published: October 2022

AbstractMeningiomas are the most common primary central nervous system neoplasm. Despite promising recent progress in elucidating the genomic landscape and underlying biology of these histologically, molecularly, and clinically diverse tumors, the mainstays of meningioma treatment remain maximal safe resection and radiation therapy. The aim of this review of meningioma radiotherapy is to provide a concise summary of the history, current evidence, and future for application of radiotherapy in meningioma treatment.