bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quality of life, distress, and posttraumatic growth 5 years after colorectal cancer diagnosis according to history of inpatient rehabilitation
Authors: Scherer-Trame Sophie , Jansen Lina , Koch-Gallenkamp Lena , Arndt Volker , Chang-Claude Jenny , Hoffmeister Michael , Brenner Hermann 
Published: December 2021

Abstract
Purpose
In Germany, almost every other colorectal cancer (CRC) patient undergoes inpatient cancer rehabilitation (ICR), but research on long-term outcomes is sparse. We aimed to assess health-related quality of life (HRQOL), distress, and posttraumatic growth among former rehabilitants and non-rehabilitants as well as respective differences and to estimate disease-related quality of life deficits in both groups.

Methods
HRQOL (EORTC-QLQ-C30/CR29), distress (QSC-R10), and posttraumatic growth (PTGI) were assessed according to past ICR in patients 5-year post-CRC-diagnosis in the German DACHS study. Least square mean differences in HRQOL scores and elevated distress levels (QSC-R10 > 14 points) by ICR were estimated by confounder-adjusted linear and logistic regression, respectively. Differences in PTGI scales were tested for statistical significance. EORTC-QLQ-C30 reference scores from population controls were accessed from the LinDE study to estimate disease-related deficits in both treatment groups.

Results
49% of the included 1906 CRC survivors had undergone ICR. Rehabilitants reported lower HRQOL scores than non-rehabilitants in several dimensions of the EORTC-QLQ-C30/CR29. Differences were pronounced among younger survivors (< 70 years). In younger survivors, past ICR also predicted elevated distress. However, rehabilitants showed higher posttraumatic growth. When compared to 934 population controls, non-rehabilitants and older rehabilitants reported HRQOL scores (EORTC-QLQ-C30) similar to controls except higher levels of bowel dysfunctions, whereas younger rehabilitants experienced deficits regarding most scales (13/15).

Conclusion
Our findings suggest a high disease burden 5 years after diagnosis in particular among younger CRC survivors who had undergone ICR. Observed HRQOL deficits are possibly linked to the initial indication for ICR and rehabilitants may benefit from effective follow-up concepts after ICR.
Counting Induced Subgraphs: An Algebraic Approach to #W[1]-Hardness
Authors: Dörfler Julian , Roth Marc , Schmitt Johannes , Wellnitz Philip 
Published: December 2021

AbstractWe study the problem $$\#\textsc {IndSub}(\varPhi )$$

#
I

N
D
S
U
B

(
Φ
)

of counting all induced subgraphs of size k in a graph G that satisfy the property $$\varPhi $$
Φ
. It is shown that, given any graph property $$\varPhi $$
Φ
that distinguishes independent sets from bicliques, $$\#\textsc {IndSub}(\varPhi )$$

#
I

N
D
S
U
B

(
Φ
)

is hard for the class $$\#\mathsf {W[1]}$$

#

W
[
1
]

, i.e., the parameterized counting equivalent of $${{\mathsf {N}}}{{\mathsf {P}}}$$

N
P

. Under additional suitable density conditions on $$\varPhi $$
Φ
, satisfied e.g. by non-trivial monotone properties on bipartite graphs, we strengthen $$\#\mathsf {W[1]}$$

#

W
[
1
]

-hardness by establishing that $$\#\textsc {IndSub}(\varPhi )$$

#
I

N
D
S
U
B

(
Φ
)

cannot be solved in time $$f(k)\cdot n^{o(k)}$$

f

(
k
)

·

n

o
(
k
)

for any computable function f, unless the Exponential Time Hypothesis fails. Finally, we observe that our results remain true even if the input graph G is restricted to be bipartite and counting is done modulo a fixed prime.
Impact of molecular alterations on quality of life and prognostic understanding over time in patients with incurable lung cancer: a multicenter, longitudinal, prospective cohort study
Authors: Kuon Jonas , Blasi Miriam , Unsöld Laura , Vogt Jeannette , Mehnert Anja , Alt-Epping Bernd , van Oorschot Birgitt , Sistermanns Jochen , Ahlborn Miriam , Ritterbusch Ulrike , Stevens Susanne , Kahl Christoph , Ruellan Anne , Matthias Kathrin , Kubin Thomas , Stahlhut Kerstin , Heider Andrea , Lordick Florian , Thomas Michael ,   on behalf of the Arbeitsgemeinschaft Palliativmedizin (APM) of the German Cancer Society (DKG)
Published: December 2021

Abstract
Purpose
The purpose of this study is to investigate changes over time in quality of life (QoL) in incurable lung cancer patients and the impact of determinants like molecular alterations (MA).

Methods
In a prospective, longitudinal, multicentric study, we assessed QoL, symptom burden, psychological distress, unmet needs, and prognostic understanding of patients diagnosed with incurable lung cancer at the time of the diagnosis (T0) and after 3 (T1), 6 (T2) and 12 months (T3) using validated questionnaires like FACT-L, National Comprehensive Cancer Network (NCCN) Distress Thermometer (DT), PHQ-4, SCNS-SF-34, and SEIQoL.

Results
Two hundred seventeen patients were enrolled, 22 (10%) with reported MA. QoL scores improved over time, with a significant trend for DT, PHQ-4, and SCNS-SF-34. Significant determinants for stable or improving scores over time were survival > 6 months, performance status at the time of diagnosis, and presence of MA. Patients with MA showed better QoL scores (FACT-L at T1 104.4 vs 86.3; at T2 107.5 vs 90.0; at T3 100.9 vs 92.8) and lower psychological distress (NCCN DT at T1 3.3 vs 5; at T2 2.7 vs 4.5; at T3 3.7 vs 4.5; PHQ-4 at T1 2.3 vs 4.1; at T2 1.7 vs 3.6; at T3 2.2 vs 3.6), but also a worsening of the scores at 1 year and a higher percentage of inaccurate prognostic understanding (27 vs 17%) compared to patients without MA.

Conclusion
Patients with tumors harboring MA are at risk of QoL deterioration during the course of the disease. Physicians should adapt their communication strategies in order to maintain or improve QoL.
Einzelhandel als Katalysator für nachhaltige urbane Radlogistik? – WüLivery, ein Fallbeispiel aus Würzburg
Authors: Appel Alexandra , Hardaker Sina 
Published: December 2021

ZusammenfassungDie Covid-19-Pandemie gilt in vielen gesellschaftlichen Teilbereichen als Beschleuniger für Transformationsprozesse. Auch im Bereich der Organisation urbaner Logistik und Einzelhandelslandschaften etablieren sich neue Akteur*innen und Funktionen. Logistiker*innen integrieren lokale Onlinemarktplätze in ihre Profile und der stationäre Einzelhandel generiert Wettbewerbsfähigkeit gegenüber großen Onlinehändler*innen über die Nutzung lokaler Radlogistiknetzwerke, mittels derer Lieferungen noch am Tag der Bestellung (Same-Day-Delivery) verteilt werden können. Damit leisten die involvierten Akteur*innen potenziell auch einen Beitrag zur Nachhaltigkeitstransformation im Bereich urbaner Logistiksysteme. Im Fokus steht das Fallbeispiel WüLivery, ein Kooperationsprojekt des Stadtmarketingvereins, der Wirtschaftsförderung, Radlogistiker*innen sowie Einzelhändler*innen in Würzburg, welches während des zweiten coronabedingten Lockdowns im November 2020 umgesetzt wurde. Die entstehenden Dynamiken und Organisationsformen werden auf Basis von 11 Expert*inneninterviews dargestellt und analysiert. Es kann gezeigt werden, dass städtische Akteur*innen grundlegende Mediator*innen für Transformationsprozesse darstellen und Einzelhändler*innen und lokale Onlinemarktplätze als Katalysator*innen fungieren können. Das ist auch vor dem Hintergrund planerischer und politischer Kommunikationsprozesse zur Legitimation neuer Verkehrsinfrastrukturen nutzbar, da die einzelnen Akteur*innengruppen in Austausch kommen und ein gesteigertes Bewusstsein für die jeweiligen Bedarfe entsteht.
Method for holistic wind turbine drivetrain comparison exemplarily applied to geared and direct drive systems
Authors: Harzendorf Freia , Schelenz Ralf , Jacobs Georg 
Published: December 2021

AbstractThe drivetrain as an important part of wind turbines needs to be improved in order to deal with today’s high development and cost pressure. One important step towards enhanced drivetrains is to identify the most suitable concept for a targeted onshore application in an early design stage. With this purpose, a holistic lifecycle system evaluation approach relying on minimum input information is presented. In order to identify a dominant solution, an additive target system is defined taking cost, ecological sustainability, and supplied energy into account. This multi-criteria decision is aggregated by defining a macrosocial evaluation criterion: “drivetrain specific energy supply effort”. A physics- and empirically-based model is developed to quantify the targets for different onshore drivetrain concepts. The validity of the model results is shown by a comparison to meta-analysis findings. Being utilized on a drivetrain concept comparison between geared and direct drive the approach’s value is showcased. Both concepts score on a comparable level slightly differing in weak and strong wind regimes. An exemplary trade-off between investment- and operational effort shows, that for both concepts the investment effort is higher than the operational. The comparison furthermore shows how robust decision support can be provided by parameter variation and finally it stresses, that the decision maker’s preferences need to be incorporated in the decision. Concluding, this analysis shows that physics- and empirically-based model approaches enable holistic wind turbine drivetrain concept comparisons in an early design stage.
Variation and genetic analysis of fatty acid composition in flax (Linum usitatissimum L.)
Authors: Walkowiak Magdalena , Spasibionek Stanislaw , Krótka Krystyna 
Published: December 2021

AbstractFlax (Linum usitatissimumL.) is an important source of oil rich in omega–3 fatty acids (especially α-linolenic acid accounting for > 50%), which is proven to have health benefits and utilized as an industrial raw material. α-Linolenic acid is a polyunsaturated fatty acid that readily undergoes oxidative transformation. Autoxidation of α-linolenic acid is the principal process contributing to the development of off-flavors, loss of color, and alteration in the nutritional value of linseed oil. However, there is huge a demand on the market for oils having different compositions of fatty acids, including the linseed oil characterized by improved stability. For this purpose, a complete diallel cross was performed in this study using six flax genotypes varying in the fatty acid content to estimate the genetic parameters. The analysis of variances carried out for the studied traits (content of oleic, linoleic and α-linolenic acid) indicated large differences among the genotypes. Variances due to GCA were much higher in magnitude than those related to SCA for the content of linoleic and α-linolenic acid, which indicated the superiority of additive gene effects in determining the inheritance of these traits. The nonadditive gene action played an important role for oleic acid content, since the magnitude of SCA effect was almost two times higher than GCA effect. The parental lines of linola (Linola KLA and Linola KLB) exhibited the highest concentration of favorable alleles for the two traits (high content of linoleic acid and low content of α-linolenic acid) and were thus found suitable for a continuous improvement program. On the basis of the SCA effect, five cross combinations, were found to be promising F1 hybrids for use as a source population for further selection, in order to achieve fatty acid changes in linseed. These combinations allow selecting varieties with 1:1 and 2:1 ratio of omega–6:omega–3 fatty acids for producing oil with an extended shelf life for food products.
Beyond Contagion of Violence: Passionate Love and Empathy in the Thought of René Girard and Max Scheler
Authors: Strączek Bogumił 
Published: December 2021

AbstractIn his last book René Girard depicts apocalypse as disclosure of mimetic violence that is world-ending. He claims that in times of violent pandemic we are not called to fight for this world, but follow Christ in his withdrawal from the world. However, such an assertion creates serious theoretical and practical issues for the effort to heal interhuman relations from the virus of mimetic hostility. I argue for the importance of restoring a foundational distinction between passionate love and acquisitive mimetic desire from the forgotten regions of Girard’s oeuvre. With Max Scheler’s interpretation of Stendhal’s concept ofl’amour passion, I explore in each thinker a fundamental insight about possibilities of transforming violent contagion through empathy and loving commitment to the world. I conclude that respective “passive” and “active” approaches to the contagion of mimetic rivalry and violence are necessary and equally valuable.
Becoming an academic entrepreneur: how scientists develop an entrepreneurial identity
Authors: Hayter Christopher S. , Fischer Bruno , Rasmussen Einar 
Published: December 2021

AbstractWhile academic entrepreneurship depends on the entrepreneurial behavior of university scientists, management studies show that identity development precedes behavioral enactment. This paper extends our understanding of why and how individuals who define themselves as a scientist develop or fail to develop a new commercialization-focused entrepreneurial identity. We develop an explanatory process model by drawing from the concept of liminality, a transitional state during which individuals construct or reconstruct an identity, as well as the entrepreneurship literature. The model not only provides a stylized illustration of identity development and its associated behavioral outcomes, but it also includes several factors such as agency and passion, liminal competence, social support, organizational and institutional support, and temporal factors that moderate the process. We contribute to the literature on entrepreneurial identity by providing a dynamic conceptualization of identity construction and incorporation, among other outcomes, as well as to the academic entrepreneurship literature by elucidating the origin and development of entrepreneurial identities among scientists. A conceptual focus on identity-related micro-processes may help explain why some scientists are more successful at commercializing technologies derived from their research than others. Implications for theory and future research are discussed.
Assessment of esophagogastric junction morphology by dynamic real-time MRI: comparison of imaging features to high-resolution manometry
Authors: Biggemann Lorenz , Uhlig Johannes , Gliem Nina , Al-Bourini Omar , Wedi Edris , Ellenrieder Volker , Ghadimi Michael , Uecker Martin , Frahm Jens , Lotz Joachim , Hosseini Ali Seif Amir , Streit Ulrike 
Published: December 2021

Abstract
Purpose
To assess the esophagogastric junction (EGJ) on real-time MRI and compare imaging parameters to EGJ morphology on high-resolution manometry (HRM).

Methods
A total of 105 of 117 eligible patients who underwent real-time MRI and high-resolution manometry for GERD-like symptoms between 2015 and 2018 at a single center were retrospectively evaluated (male n = 57; female n = 48; mean age 52.5 ± 15.4 years). Real-time MRI was performed at a median investigation time of 15 min (1 frame/40 ms). On HRM, EGJ morphology was assessed according to the Chicago classification of esophageal motility disorders. Real-time MRI was performed at 3 T using highly undersampled radial fast low-angle shot acquisitions with NLINV image reconstruction. A 10 mL pineapple juice bolus served as oral contrast agent at supine position. Real-time MRI films of the EGJ were acquired during swallowing events and during Valsalva maneuver. Anatomic and functional MRI parameters were compared to EGJ morphology on HRM.

Results
On HRM, n = 42 patients presented with EGJ type I (40.0%), n = 33 with EGJ type II (31.4%), and n = 30 with EGJ type III (28.6%). On real-time MRI, hiatal hernia was more common in patients with EGJ type III (66.7%) than in patients with EGJ type I (26.2%) and EGJ type II (30.3%; p < 0.001). Sliding hiatal hernia was more frequent in patients with EGJ type II (33.3%) than in patients with EGJ type III (16.7%) and EGJ type I (7.1%; p = 0.017). The mean esophagus–fundus angle of patients was 85 ± 31° at rest and increased to 101 ± 36° during Valsalva maneuver.

Conclusion
Real-time MRI is a non-invasive imaging method for assessment of the esophagogastric junction. Real-time MRI can visualize dynamic changes of the EGJ during swallowing events.
Sequencing of multi-robot behaviors using reinforcement learning
Authors: Pierpaoli Pietro , Doan Thinh T. , Romberg Justin , Egerstedt Magnus 
Published: December 2021

AbstractGiven a collection of parameterized multi-robot controllers associated with individual behaviors designed for particular tasks, this paper considers the problem of how to sequence and instantiate the behaviors for the purpose of completing a more complex, overarching mission. In addition, uncertainties about the environment or even the mission specifications may require the robots to learn, in a cooperative manner, how best to sequence the behaviors. In this paper, we approach this problem by using reinforcement learning to approximate the solution to the computationally intractable sequencing problem, combined with an online gradient descent approach to selecting the individual behavior parameters, while the transitions among behaviors are triggered automatically when the behaviors have reached a desired performance level relative to a task performance cost. To illustrate the effectiveness of the proposed method, it is implemented on a team of differential-drive robots for solving two different missions, namely, convoy protection and object manipulation.
Application of maximum likelihood and model-based seismic inversion techniques: a case study from K-G basin, India
Authors: Richa  , Maurya S. P. , Singh Kumar H. , Singh Raghav , Kumar Rohtash , Kushwaha Prabodh Kumar 
Published: December 2021

AbstractSeismic inversion is a geophysical technique used to estimate subsurface rock properties from seismic reflection data. Seismic data has band-limited nature and contains generally 10–80 Hz frequency hence seismic inversion combines well log information along with seismic data to extract high-resolution subsurface acoustic impedance which contains low as well as high frequencies. This rock property is used to extract qualitative as well as quantitative information of subsurface that can be analyzed to enhance geological as well as geophysical interpretation. The interpretations of extracted properties are more meaningful and provide more detailed information of the subsurface as compared to the traditional seismic data interpretation. The present study focused on the analysis of well log data as well as seismic data of the KG basin to find the prospective zone. Petrophysical parameters such as effective porosity, water saturation, hydrocarbon saturation, and several other parameters were calculated using the available well log data. Low Gamma-ray value, high resistivity, and cross-over between neutron and density logs indicated the presence of gas-bearing zones in the KG basin. Three main hydrocarbon-bearing zones are identified with an average Gamma-ray value of 50 API units at the depth range of (1918–1960 m), 58 API units (2116–2136 m), and 66 API units (2221–2245 m). The average resistivity is found to be 17 Ohm-m, 10 Ohm-m, and 12 Ohm-m and average porosity is 15%, 15%, and 14% of zone 1, zone 2, and zone 3 respectively. The analysis of petrophysical parameters and different cross-plots showed that the reservoir rock is of sandstone with shale as a seal rock. On the other hand, two types of seismic inversion namely Maximum Likelihood and Model-based seismic inversion are used to estimate subsurface acoustic impedance. The inverted section is interpreted as two anomalous zones with very low impedance ranging from 1800 m/s*g/cc to 6000 m/s*g/cc which is quite low and indicates the presence of loose formation.
Performance of asphaltene stability predicting models in field environment and development of new stability predicting model (ANJIS)
Authors: Saboor Abdus , Yousaf Nimra , Haneef Javed , Ali Syed Imran , Lalji Shaine Mohammadali 
Published: December 2021

AbstractAsphaltene Precipitation is a major issue in both upstream and downstream sectors of the Petroleum Industry. This problem could occur at different locations of the hydrocarbon production system i.e., in the reservoir, wellbore, flowlines network, separation and refining facilities, and during transportation process. Asphaltene precipitation begins due to certain factors which include variation in crude oil composition, changes in pressure and temperature, and electrokinetic effects. Asphaltene deposition may offer severe technical and economic challenges to operating Exploration and Production companies with respect to losses in hydrocarbon production, facilities damages, and costly preventive and treatment solutions. Therefore, asphaltene stability monitoring in crude oils is necessary for the prevention of aggravation of problem related to the asphaltene deposition. This study will discuss the performance of eleven different stability parameters or models already developed by researchers for the monitoring of asphaltene stability in crude oils. These stability parameters include Colloidal Instability Index, Stability Index, Colloidal Stability Index, Chamkalani’s stability classifier, Jamaluddin’s method, Modified Jamaluddin’s method, Stankiewicz plot, QQA plots and SCP plots. The advantage of implementing these stability models is that they utilize less input data as compared to other conventional modeling techniques. Moreover, these stability parameters also provide quick crude oils stability outcomes than expensive experimental methods like Heithaus parameter, Toluene equivalence, spot test, and oil compatibility model. This research study will also evaluate the accuracies of stability parameters by their implementation on different stability known crude oil samples present in the published literature. The drawbacks and limitations associated with these applied stability parameters will also be presented and discussed in detail. This research found that CSI performed best as compared to other SARA based stability predicting models. However, considering the limitation of CSI and other predictors, a new predictor, namely ANJIS (Abdus, Nimra, Javed, Imran & Shaine) Asphaltene stability predicting model is proposed. ANJIS when used on oil sample of different conditions show reasonable accuracy. The study helps Petroleum companies, both upstream and downstream sector, to determine the best possible SARA based parameter and its associated risk used for the screening of asphaltene stability in crude oils.
A finite-element-aided ultrasonic method for measuring central oil-film thickness in a roller-raceway tribo-pair
Authors: Dou Pan , Wu Tonghai , Luo Zhaopeng , Yang Peiping , Peng Zhongxiao , Yu Min , Reddyhoff Tom 
Published: December 2021

AbstractRoller bearings support heavy loads by riding on an ultra-thin oil film (between the roller and raceway), the thickness of which is critical as it reflects the lubrication performance. Ultrasonic interfacial reflection, which facilitates the non-destructive measurement of oil-film thickness, has been widely studied. However, insufficient spatial resolution around the rolling line contact zone remains a barrier despite the use of miniature piezoelectric transducers. In this study, a finite-element-aided method is utilized to simulate wave propagation through a three-layered structure of roller-oil-raceway under elastohydrodynamic lubrication (EHL) with nonlinear characteristics of the i) deformed curvature of the cylindrical roller and ii) nonuniform distribution of the fluid bulk modulus along the circumference of the oil layer being considered. A load and speed-dependent look-up table is then developed to establish an accurate relationship between the overall reflection coefficient (directly measured by an embedded ultrasonic transducer) and objective variable of the central oil-film thickness. The proposed finite-element-aided method is verified experimentally in a roller-raceway test rig with the ultrasonically measured oil-film thickness corresponding to the values calculated using the EHL theory.