bluuebunny/crossref_metadata_2025_split huggingface dataset:
Die Habilitation in der Kommunikations- und Medienwissenschaft
Authors: Frey Felix , Kohler Sarah , Nitschke Paula , Stehle Helena 
Published: October 2023

ZusammenfassungDer Beitrag untersucht inhaltsanalytisch 63 Habilitationsordnungen aus Deutschland, Österreich und der Schweiz aus den Fachgebieten Medien- und Kommunikationswissenschaft. Erhoben wurden u. a. die Zulassungsvoraussetzungen sowie die zu erbringenden Leistungen (schriftlich, mündlich, pädagogische Eignung). Die Inhaltsanalyse zeigt, dass in Deutschland die Habilitation im Bundesland Bayern durch ein Fachmentorat begleitet wird, wohingegen an den anderen Standorten in den DACH-Ländern (abgesehen von wenigen Mischformen) ein abschließendes Verfahren zum Tragen kommt. Neben Hinweisen zur formalen Ausgestaltung der Verfahren stehen insbesondere die Leistungen, die im Habilitationsverfahren zu erbringen sind, im Mittelpunkt der Regelungen. Dabei bieten die Ordnungen in unterschiedlichem Ausmaß Orientierung in der Frage, was genau für eine Habilitation erwartet wird. Nach einer Deskription der Ergebnisse erörtert der Beitrag die Habilitation als Qualifizierungs- und Prüfverfahren. Er will dabei auch Impulse für eine weiterführende Diskussion in der Kommunikations- und Medienwissenschaft zu den Fragen geben, welche Leistungen im Rahmen der Habilitation erbracht werden sollen und welchen Stellenwert die Habilitation künftig einnehmen soll, insbesondere in Anbetracht der Pluralisierung der Qualifizierungswege.
Patient-physician agreement on function and pain is associated with long-term outcomes in sarcoma: findings from a longitudinal study
Authors: Košir Urška , van de Wal Deborah , Husson Olga , Zablith Nadine , Turcotte Robert E. 
Published: October 2023

Abstract

Purpose
We aimed to describe the level of agreement between patients and physicians on the ratings of daily functioning and pain in a cohort of sarcoma patients and assess how (dis)agreement and its change over time predicted patient-reported outcomes in survivorship.

Method
We performed secondary analysis of longitudinal data from a sarcoma-specialty clinic in Montreal, Canada. Demographics, clinical characteristics and patient-physician agreement were summarized descriptively. Linear mixed models were used to assess the effects of time, baseline agreement, change in agreement over time, interaction of time and change in agreement and 12-month daily functioning, quality of life, and fatigue.

Results
Data were available for 806 patients (57.7% male, x̄ = 53.3 years) who completed at least one questionnaire. Patient-physician disagreement was common on the level of function (43.4%) and pain (45.7%). Baseline physician-patient agreement was associated with better 12-month outcomes. Improvement in agreement on function over time was significantly associated with daily functioning (F(2, 212) = 3.18, p = 0.043) and quality of life (F(2, 212) = 3.17, p < 0.044). The pattern was similar though less pronounced for the agreement on pain.

Conclusions
Our study offers novel insights into the importance of patient-physician agreement and communication’s role in long-term patient-reported outcomes in sarcoma.

Implications for Cancer Survivors
The results emphasize the importance of mutual understanding of symptoms and patients’ needs and suggest that further consultation in cases of discordance of ratings and opinions might be beneficial for optimal survivorship.
Neural Networks for Constitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics
Authors: Dornheim Johannes , Morand Lukas , Nallani Hemanth Janarthanam , Helm Dirk 
Published: October 2023

AbstractAnalyzing and modeling the constitutive behavior of materials is a core area in materials sciences and a prerequisite for conducting numerical simulations in which the material behavior plays a central role. Constitutive models have been developed since the beginning of the 19th century and are still under constant development. Besides physics-motivated and phenomenological models, during the last decades, the field of constitutive modeling was enriched by the development of machine learning-based constitutive models, especially by using neural networks. The latter is the focus of the present review paper, which aims to give an overview of neural networks-based constitutive models from a methodical perspective. The review summarizes and compares numerous conceptually different neural networks-based approaches for constitutive modeling including neural networks used as universal function approximators, advanced neural network models and neural network approaches with integrated physical knowledge. The upcoming of these methods is in-turn closely related to advances in the area of computer sciences, what further adds a chronological aspect to this review. We conclude the review paper with important challenges in the field of learning constitutive relations that need to be tackled in the near future.
Refining the freeloading and no purchase behavior in pay as you wish pricing
Authors: Wagner Udo , Akbari Karl 
Published: October 2023

AbstractPay as you wish (PAYW) pricing offers a radical shift from posted pricing schemes. Modeling consumer behavior under PAYW pricing promises insights into conditions under which PAYW is profitable. Firstly, this paper extends an established model that builds on inequity-averse consumers and models their behavior in PAYW as well as the seller’s profits. The paper uses a comprehensive approach to describe consumers with low fairness concerns and points to a new segment of consumers who were not considered in previous PAYW models. They are characterized by a decision not to buy a good under a PAYW pricing policy, even if they can get it for free, and are not strongly averse to advantageous inequity. Secondly, the paper discusses the profitability of PAYW with a suggested price when the seller’s ability to suggest high prices is limited. Thirdly, the paper incorporates the effect of disadvantageous inequity aversion on PAYW with a minimum price. Finally, the paper offers guidelines on how a seller should choose the optimal pricing policy.
Predictive Modeling and Structure Analysis of Genetic Variants in Familial Hypercholesterolemia: Implications for Diagnosis and Protein Interaction Studies
Authors: Larrea-Sebal Asier , Jebari-Benslaiman Shifa , Galicia-Garcia Unai , Jose-Urteaga Ane San , Uribe Kepa B. , Benito-Vicente Asier , Martín César 
Published: October 2023

Abstract
Purpose of Review
Familial hypercholesterolemia (FH) is a hereditary condition characterized by elevated levels of low-density lipoprotein cholesterol (LDL-C), which increases the risk of cardiovascular disease if left untreated. This review aims to discuss the role of bioinformatics tools in evaluating the pathogenicity of missense variants associated with FH. Specifically, it highlights the use of predictive models based on protein sequence, structure, evolutionary conservation, and other relevant features in identifying genetic variants within LDLR, APOB, and PCSK9 genes that contribute to FH.

Recent Findings
In recent years, various bioinformatics tools have emerged as valuable resources for analyzing missense variants in FH-related genes. Tools such as REVEL, Varity, and CADD use diverse computational approaches to predict the impact of genetic variants on protein function. These tools consider factors such as sequence conservation, structural alterations, and receptor binding to aid in interpreting the pathogenicity of identified missense variants. While these predictive models offer valuable insights, the accuracy of predictions can vary, especially for proteins with unique characteristics that might not be well represented in the databases used for training.

Summary
This review emphasizes the significance of utilizing bioinformatics tools for assessing the pathogenicity of FH-associated missense variants. Despite their contributions, a definitive diagnosis of a genetic variant necessitates functional validation through in vitro characterization or cascade screening. This step ensures the precise identification of FH-related variants, leading to more accurate diagnoses. Integrating genetic data with reliable bioinformatics predictions and functional validation can enhance our understanding of the genetic basis of FH, enabling improved diagnosis, risk stratification, and personalized treatment for affected individuals. The comprehensive approach outlined in this review promises to advance the management of this inherited disorder, potentially leading to better health outcomes for those affected by FH.
Behavior of biocide-free foul control paints for ships’ hulls in the immediate proximity of ICCP anodes
Authors: Castelli F. , Delucchi M. , Valenza F. , Garaventa F. , Faimali M. , Turturro T. , Benedetti A. 
Published: October 2023

AbstractImpressed current cathodic protection systems are used in combination with organic coatings to prevent corrosion of hulls. The reaction species which are formed in the proximity of the anodes, like chlorinated compounds and acidity, can stress the antifouling paints of the protective coating system. A 3 × 3 matrix was defined to drive the tests aiming to investigate the behavior of novel biocide-free foul release (FR) and self-polishing (SP) paints under this kind of attack. The matrix was featured by different pH and free chlorine (free-Cl) values derived by a galvanostatic test performed at an anodic current density required for the protection of paints roughly at their mid age. Chemical/physical characterization was performed through visual analysis, thickness measurements, profilometry, contact angle measurements, and FTIR-ATR analysis. Both FR and SP paints underwent adhesive failure only in the harshest conditions, pH = 3/free-Cl 3–6 ppm, with unmodified chemistry of the polymers. Both paints exhibited no detachment in milder pH/free-Cl conditions, but thickness and contact angle reduction were observed. Finally, results were discussed inferring possible behaviors of the tested paints in real applications.
Challenging Tumor Heterogeneity with HER2, p16 and Somatostatin Receptor 2 Expression in a Case of EBV-Associated Lymphoepithelial Carcinoma of the Salivary Gland
Authors: Adili Arlind , O`Connor Tracy , Wales Philipp , Seemann Marcus , Höller Sylvia , Hummer Barbara , Freiberger Sandra N. , Rauthe Stephan , Rupp Niels J. 
Published: October 2023

Abstract
Background
Lymphoepithelial carcinoma of the salivary glands (LECSG) is a rare disease in the Western hemisphere that is typically associated with an EBV infection. The molecular mechanisms of LECSG tumorigenesis are poorly understood.

Results
Here we report a case of EBV-associated LECSG with an unusual immunophenotype. The tumor exhibited bi-morphic histological features with a mutually exclusive expression of HER2 and p16. The p16-positive domain of the tumor immunohistochemically co-expressed late membrane protein 1 (LMP-1), while the HER2 positive domain did not. Both tumor regions expressed SSTR2.

Methods
In situ hybridization confirmed the EBV origin of the tumor while extensive immunohistochemical characterization and the recently established RNA-based next generation sequencing panel (“SalvGlandDx” panel) did not reveal evidence for another salivary gland neoplasm. No HPV co-infection was detected by in situ hybridization or PCR-based screenings and no ERBB2 gene amplification was detected by fluorescence in situ hybridization.

Conclusion
These findings suggest tumor heterogeneity and lack of genomic aberrations in EBV-associated LECSGs. The heterogenous and unusual immunohistochemical features explain the diagnostic difficulties and simultaneously extend the immunophenotype spectrum of this tumor entity.
The Future Is in the Younger Generations: Baka Children in Southeast Cameroon Have Extensive Knowledge on Medicinal Plants
Authors: Gallois Sandrine , van Andel Tinde , Ambassa Appolinaire , van Bemmel Stijn 
Published: October 2023

AbstractIn the context of global change, understanding the knowledge and values given to plants is crucial for choosing relevant approaches towards a more sustainable future. Children are central holders of ethnobotanical knowledge, yet they are still under-considered in ethnobotany. Our study explored the medicinal knowledge of children of the Baka, forager-horticulturalists from Cameroon. We assessed the diversity of medicinal plants they know, the different ailments treated, and whether they could name complete herbal recipes. Using a mixed-methods approach, we combined ex situ interviews (freelisting and knowledge surveys) with in situ methods (walk-in-the-woods trips with voucher collection) with 106 children from 5 to 16 years old. They listed 128 local names of medicinal plants, which we linked to 126 different plant species. While the ex situ and in situ methods had some overlap in the diversity of medicinal plants reported, they also revealed substantial knowledge unique to each method. Our insights provide further evidence of children’s considerable ethnobotanical knowledge and the extent to which different field methods can retrieve such knowledge. We discuss the methodological tools to be developed with and for children to put childhood at the center stage of ethnobotanical approaches for the future.
Structural, Physical, Magnetic, and Dielectric Study of Glassy and Crystalline Bismuth Zinc Silicates
Authors: Abdel-Hameed Salwa A. M. , Mahani Ragab , Hamzawy Esmat M. A. , Almasarawi Ola.N. , Margha Fatma. H. 
Published: October 2023

AbstractThe current study aims to thoroughly analyze the optical, magnetic, and dielectric properties of the glass and glass-ceramics in the system Bi2O3.ZnO.SiO2 with stoichiometric composition xBi12SiO20.(100-x)Zn2SiO4(x = 0, 10, 30, 50, 70, 90, and 100). The systematic dependence on density, Bi2O3, and the presence of interphases was studied. Fourier transform infrared (FTIR) spectra of the glass-ceramic samples certify the changes occurring in structure from amorphous to crystalline form where more intense, sharp, narrow bands were observed. Both 10B and 30B samples display more ultraviolet (UV) absorbance than the remaining samples. Upon introducing Bi2O3, the glass sample's color gradually changed from brown to pale yellow. In the vibrating sample magnetometer (VSM) study, the highest (9.22 × 10-7 emu/g) and lowest (4.53 × 10-7 emu/g) magnetic susceptibility were noticed for 30B and 70B samples, respectively. Further, all glass ceramics display diamagnetic properties due to the existence of Bi ions. The glass-ceramic samples showed better dielectric properties than glass samples due to changes from the amorphous nature of the glassy phase (high dielectric loss) to the well-ordered structure of the corresponding glass-ceramic (low dielectric loss). The glass ceramic sample of 100B attained much lower dielectric loss values (0.002, f = 106 Hz) than the corresponding glass sample (0.01, f = 106Hz) which could be helpful for electric storage devices, i.e. capacitors, supercapacitors, batteries, etc. Besides, the high-quality factor (Q = 2758) of the same glass-ceramic sample makes it promising in Radio Frequency (RF) circuits or other high- frequency applications.
Estimation of tensile and uniaxial compressive strength of carbonate rocks from well-logging data: artificial intelligence approach
Authors: Ibrahim Ahmed Farid , Hiba Moaz , Elkatatny Salaheldin , Ali Abdulwahab 
Published: October 2023

AbstractThe uniaxial compressive strength (UCS) and tensile strength (T0) are crucial parameters in field development and excavation projects. Traditional lab-based methods for directly measuring these properties face practical challenges. Therefore, non-destructive techniques like machine learning have gained traction as innovative tools for predicting these parameters. This study leverages machine learning methods, specifically random forest (RF) and decision tree (DT), to forecast UCS and T0 using real well-logging data sourced from a Middle East reservoir. The dataset comprises 2600 data points for model development and over 600 points for validation. Sensitivity analysis identified gamma-ray, compressional time (DTC), and bulk density (ROHB) as key factors influencing the prediction. Model accuracy was assessed using the correlation coefficient (R) and the absolute average percentage error (AAPE) against actual parameter profiles. For UCS prediction, both RF and DT achieved R values of 0.97, with AAPE values at 0.65% for RF and 0.78% for DT. In T0 prediction, RF yielded R values of 0.99, outperforming DT's 0.93, while AAPE stood at 0.28% for RF and 1.4% for DT. These outcomes underscore the effectiveness of both models in predicting strength parameters from well-logging data, with RF demonstrating superior performance. These models offer the industry an economical and rapid tool for accurately and reliably estimating strength parameters from well-logging data.
Recognising ceratocystis disease symptoms in a Eucalyptus pellita nursery
Authors: Indrayadi Heru , Glen Morag , . Halimah , . Fahrizawati , Prihatini Istiana , Beadle Chris , Tjahjono Budi , Mohammed Caroline 
Published: October 2023

AbstractEarly recognition of symptoms of infection is essential to prevent diseases from spreading through nurseries and into planted systems. In plantations, symptoms ofCeratocystis manginecansinfection are typically wilt and canker but symptoms may differ at the nursery stage and as yet have not been described forEucalyptus pellita. In this study, disease symptoms were recorded over a three-month period in anE. pellitanursery and isolates trapped. Then, to clearly identify those relating to ceratocystis disease and any related mortality, twoC. manginecansisolates were re-inoculated by either spraying or dipping of healthy plantlets raised by tissue culture and mini-cuttings. Many disease symptoms were observed in the nursery but only perithecia on the leaves and stems was a clear indication of the presence of aCeratocystispathogen. Nine pathogenic fungal species, includingC. manginecans, were isolated and identified by DNA analysis. Koch’s postulates indicated that leaf blight associated withC. manginecanswas black-brown in colour, irregular, with uneven edges and surrounded by a yellow margin or halo on the upper leaf surface. Mortality following inoculation of plantlets by spraying immediately after planting was > 70%; by contrast, mortality of mini-cuttings was < 50% if spraying was done just before transplanting but < 20% if done 7 or 14 days after transplanting. Isolate EP313C caused significantly greater mortality than isolate EP106C. The research showed thatC. manginecansand other pathogens were present in the nursery environment and must be identified and managed as part of good nursery practice.
Unfolding the link between multiple ecosystem services and bundles of functional traits to design multifunctional crop variety mixtures
Authors: Dubs Florence , Enjalbert Jerome , Barot Sebastien , Porcher Emmanuelle , Allard Vincent , Pope Claude , Gauffreteau Arnaud , Niboyet Audrey , Pommier Thomas , Saint-Jean Sebastien , Vidal Tiphaine , Le Roux Xavier 
Published: October 2023

AbstractIn face of the current environmental challenges, developing multifunctional cropping systems is increasingly needed, and crop variety mixtures are particularly interesting since they can deliver diverse services including grain production, yield stability, N2O production regulation, disease control, and reduction of N-fertilizer losses. However, the relationships between intraspecific diversity and ecosystem multifunctionality are poorly understood so far, and practitioners lack science-based guidance to design mixtures. We used a pool of 16 bread wheat varieties classified into 4 functional groups based on 26 below- and aboveground functional traits, to conduct a field trial (88 large plots cultivated with single varieties or mixtures of 2, 4, or 8 varieties), quantifying 15 provisioning and regulating services for each plot. To assess yield stability between local conditions and years, the trial was replicated at 4 other locations and for 2 years, using 2 managements each time. We analyzed how variety number and functional groups predicted the variance in services, and applied in an innovative manner the RLQ co-inertia analysis to relate the (variety × traits) matrix Q to a (plot × services) matrix R, using a (plot × variety) composition matrix L as a link. Our results show that using variety mixtures allowed delivery of baskets of services not reachable when cultivating single varieties, and that mixtures mitigated tradeoffs between different pairs of services. Variety number or functional groups poorly predicted the variance in services, but the RLQ approach allowed the identification of groups of plots delivering consistent baskets of services. Moreover, we demonstrated for the first-time significant relationships between specific baskets of services and bundles of variety traits. We discuss how our results increase our understanding of intraspecific diversity–agroecosystem multifunctionality relationships, and propose the next steps using our new approach to support practitioners for designing variety mixtures that provide particular baskets of services.
Sociodemographic Predictors and Moderators of Treatment Outcomes of Psychotherapeutic Interventions for Young People with Mental Disorders: A Systematic Review
Authors: Gergov Vera , Prevendar Tamara , Vousoura Eleni , Ulberg Randi , Dahl Hanne-Sofie J. , Feller Clémence , Jacobsen Celia Faye , Karain Alexia , Milic Branka , Poznyak Elena , Sacco Rosemarie , Tulbure Bogdan Tudor , Camilleri Nigel , Liakea Iliana , Podina Ioana , Saliba Andrea , Torres Sandra , Poulsen Stig 
Published: October 2023

AbstractDespite the worrying prevalence of mental disorders among adolescents and young people, evidence on predictors of treatment outcome remains scarce. Systematic reviews have focused on specific disorders or treatment modalities and have not targeted this age group in particular. This systematic review presents an overview of the sociodemographic predictors and moderators on the outcome of psychotherapeutic interventions for adolescents and young people with mental disorders across treatment modalities. The search was conducted in PubMed and PsycINFO following the PICOS strategy. The included studies were clinical outcome studies on psychotherapeutic interventions, targeted for young people (aged 12–30 years) with specified mental disorders and published in peer-reviewed journals. During a four-step screening process, 17,359 articles were assessed, among which 114 met the inclusion criteria. Most included studies involved patients with mood, eating, or substance use disorders. Age, gender, and ethnicity were the most frequently reported predictors. For age and gender the findings were mixed, so it is not possible to state which age group or gender would benefit most from treatment across disorder groups. Ethnic minority status and history of traumatic events may predict poorer outcomes. However, the results mainly did not support the relevance of sociodemographic variables for predicting treatment outcome.