bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nonexistence of supersymmetry breaking counterexamples to the Nelson-Seiberg theorem
Authors: Li Zhenhuan , Sun Zheng 
Published: October 2021

AbstractCounterexample models to the Nelson-Seiberg theorem have been discovered, and their features have been studied in previous literature. All currently known counterexamples have generic superpotentials respecting the R-symmetry, and more R-charge 2 fields than R-charge 0 fields. But they give supersymmetric vacua with spontaneous R-symmetry breaking, thus violate both the Nelson-Seiberg theorem and its revisions. This work proves that the other type of counterexamples do not exist. When there is no R-symmetry, or there are no more R-charge 2 fields than R-charge 0 fields in models with R-symmetries, generic superpotentials always give supersymmetric vacua. There exists no specific arrangement of R-charges or non-R symmetry representations which makes a counterexample with a supersymmetry breaking vacuum. This nonexistence theorem contributes to a refined classification of R-symmetric Wess-Zumino models.
View on a mechanistic model of Chlorella vulgaris in incubated shake flasks
Authors: Kuhfuß Fabian , Gassenmeier Veronika , Deppe Sahar , Ifrim George , Rodríguez Tanja Hernández , Frahm Björn 
Published: October 2021

Abstract
Kinetic growth models are a useful tool for a better understanding of microalgal cultivation and for optimizing cultivation conditions. The evaluation of such models requires experimental data that is laborious to generate in bioreactor settings. The experimental shake flask setting used in this study allows to run 12 experiments at the same time, with 6 individual light intensities and light durations. This way, 54 biomass data sets were generated for the cultivation of the microalgae Chlorella vulgaris. To identify the model parameters, a stepwise parameter estimation procedure was applied. First, light-associated model parameters were estimated using additional measurements of local light intensities at differ heights within medium at different biomass concentrations. Next, substrate related model parameters were estimated, using experiments for which biomass and nitrate data were provided. Afterwards, growth-related model parameters were estimated by application of an extensive cross validation procedure.

Graphic abstract
Radiographic markers of breast cancer brain metastases: relation to clinical characteristics and postoperative outcome
Authors: Michel Anna , Dinger Thiemo , Darkwah Oppong Marvin , Rauschenbach Laurèl , Deuschl Cornelius , Ahmadipour Yahya , Pierscianek Daniela , Wrede Karsten , Hense Jörg , Pöttgen Christoph , Iannaccone Antonella , Kimmig Rainer , Sure Ulrich , Jabbarli Ramazan 
Published: October 2021

Abstract
Objective
Occurrence of brain metastases BM is associated with poor prognosis in patients with breast cancer (BC). Magnetic resonance imaging (MRI) is the standard of care in the diagnosis of BM and determines further treatment strategy. The aim of the present study was to evaluate the association between the radiographic markers of BCBM on MRI with other patients’ characteristics and overall survival (OS).

Methods
We included 88 female patients who underwent BCBM surgery in our institution from 2008 to 2019. Data on demographic, clinical, and histopathological characteristics of the patients and postoperative survival were collected from the electronic health records. Radiographic features of BM were assessed upon the preoperative MRI. Univariable and multivariable analyses were performed.

Results
The median OS was 17 months. Of all evaluated radiographic markers of BCBM, only the presence of necrosis was independently associated with OS (14.5 vs 22.5 months, p = 0.027). In turn, intra-tumoral necrosis was more often in individuals with shorter time interval between BC and BM diagnosis (< 3 years, p = 0.035) and preoperative leukocytosis (p = 0.022). Moreover, dural affection of BM was more common in individuals with positive human epidermal growth factor receptor 2 status (p = 0.015) and supratentorial BM location (p = 0.024).

Conclusion
Intra-tumoral necrosis demonstrated significant association with OS after BM surgery in patients with BC. The radiographic pattern of BM on the preoperative MRI depends on certain tumor and clinical characteristics of patients.
Impact of the inversion time on regional brain perfusion estimation with clinical arterial spin labeling protocols
Authors: Sanvito Francesco , Palesi Fulvia , Rognone Elisa , Barzaghi Leonardo , Pasca Ludovica , Germani Giancarlo , De Giorgis Valentina , Borgatti Renato , Gandini Wheeler-Kingshott Claudia A. M. , Pichiecchio Anna 
Published: October 2021

Abstract
Objective
Evaluating the impact of the Inversion Time (TI) on regional perfusion estimation in a pediatric cohort using Arterial Spin Labeling (ASL).

Materials and methods
Pulsed ASL (PASL) was acquired at 3 T both at TI 1500 ms and 2020 ms from twelve MRI-negative patients (age range 9–17 years). A volume of interest (VOIs) and a voxel-wise approach were employed to evaluate subject-specific TI-dependent Cerebral Blood Flow (CBF) differences, and grey matter CBF Z-score differences. A visual evaluation was also performed.

Results
CBF was higher for TI 1500 ms in the proximal territories of the arteries (PTAs) (e.g. insular cortex and basal ganglia ﻿—﻿ P < 0.01 and P < 0.05 from the VOI analysis, respectively), and for TI 2020 ms in the distal territories of the arteries (DTAs), including the watershed areas (e.g. posterior parietal and occipital cortex — P < 0.001 and P < 0.01 from the VOI analysis, respectively). Similar differences were also evident when analyzing patient-specific CBF Z-scores and at a visual inspection.

Conclusions
TI influences ASL perfusion estimates with a region-dependent effect. The presence of intraluminal arterial signal in PTAs and the longer arterial transit time in the DTAs (including watershed areas) may account for the TI-dependent differences. Watershed areas exhibiting a lower perfusion signal at short TIs (~ 1500 ms) should not be misinterpreted as focal hypoperfused areas.
Escobar constants of planar domains
Authors: Hassannezhad Asma , Siffert Anna 
Published: October 2021

AbstractWe initiate the study of the higher-order Escobar constants$$I_k(M)$$Ik(M),$$k\ge 3$$k≥3, on bounded planar domainsM. The Escobar constants$$I_k$$Ikof the unit disk and a family of polygons are provided.
Anxiety and climate change: a validation of the Climate Anxiety Scale in a German-speaking quota sample and an investigation of psychological correlates
Authors: Wullenkord Marlis C. , Tröger Josephine , Hamann Karen R. S. , Loy Laura S. , Reese Gerhard 
Published: October 2021

AbstractThe climate crisis is an unprecedented existential threat that causes disturbing emotions, such as anxiety. Recently, Clayton and Karazsia measured climate anxiety as “a more clinically significant ‘anxious’ response to climate change” (2020, p. 9). To gain a more nuanced understanding of the phenomenon from an empirical psychological perspective, we translated the core of the Climate Anxiety Scale into German and assessed potential correlates in a large German-speaking quota sample (N = 1011, stratified by age and gender). Overall, people reported low levels of climate anxiety. Climate anxiety correlated positively with general anxiety and depressiveness, avoidance of climate change in everyday life, frustration of basic psychological needs, pro-environmental behavioral intentions, and policy support. It correlated negatively with different forms of climate denial and was unrelated to ideological beliefs. We were not able to replicate the two dimensions found in the original scale. Moreover, we argue that items appear to measure a general climate-related emotional impairment, rather than distinctly and comprehensively capturing climate anxiety. Thus, we encourage researchers to rework the scale and include an emotional factor in future research efforts.
Noninvasive Technologies for Primate Conservation in the 21st Century
Authors: Piel A. K. , Crunchant A. , Knot I. E. , Chalmers C. , Fergus P. , Mulero-Pázmány M. , Wich S. A. 
Published: October 2021

AbstractObserving and quantifying primate behavior in the wild is challenging. Human presence affects primate behavior and habituation of new, especially terrestrial, individuals is a time-intensive process that carries with it ethical and health concerns, especially during the recent pandemic when primates are at even greater risk than usual. As a result, wildlife researchers, including primatologists, have increasingly turned to new technologies to answer questions and provide important data related to primate conservation. Tools and methods should be chosen carefully to maximize and improve the data that will be used to answer the research questions. We review here the role of four indirect methods—camera traps, acoustic monitoring, drones, and portable field labs—and improvements in machine learning that offer rapid, reliable means of combing through large datasets that these methods generate. We describe key applications and limitations of each tool in primate conservation, and where we anticipate primate conservation technology moving forward in the coming years.
Bio-tribological behavior of articular cartilage based on biological morphology
Authors: Zhang Xinyue , Hu Yi , Chen Kai , Zhang Dekun 
Published: October 2021

AbstractArtificial hemiarthroplasty is one of the effective methods for the treatment of hip joint diseases, but the wear failure of the interface between the hemi hip joint material and articular cartilage restricts the life of the prosthesis. Therefore, it is important to explore the damage mechanism between the interfaces to prolong the life of the prosthesis and improve the life quality of the prosthesis replacement. In this paper, the creep and bio-tribological properties of cartilage against PEEK, CoCrMo alloy, and ceramic were studied, and the tribological differences between “hard–soft” and “soft–soft” contact were analyzed based on biomorphology. The results showed that with the increase of time in vitro, the thickness of the cartilage membrane decreased, the surface damage was aggravated, and the anti-creep ability of cartilage was weakened. Second, the creep resistance of the soft–soft contact pair was better than that of the hard–soft contact pair. Also, the greater the load and the longer the wear time, the more serious the cartilage damage. Among the three friction pairs, the cartilage in PEEK/articular cartilage was the least damaged, followed by CoCrMo alloy/articular cartilage, and the most damage was found in ceramic/articular, indicating that the soft–soft friction pair inflicted the least damage to the cartilage.
In silico identification of A1 agonists and A2a inhibitors in pain based on molecular docking strategies and dynamics simulations
Authors: Xu Guangya , Zhang Shutao , Zheng Lulu , Hu Zhongjiao , Cheng Lijia , Chen Lvlin , Li Jun , Shi Zheng 
Published: October 2021

AbstractMost recently, the adenosine is considered as one of the most promising targets for treating pain, with few side effects. It exists in the central nervous system, and plays a key role in nociceptive afferent pathway. It is reported that the A1 receptor (A1R) could inhibit Ca2+ channels to reduce the pain like analgesic mechanism of morphine. And, A2a receptor (A2aR) was reported to enhance the accumulation of AMP (cAMP) and released peptides from sensory neurons, resulting in constitutive activation of pain. Much evidence showed that A1R and A2aR could be served as the interesting targets for the treatment of pain. Herein, virtual screening was utilized to identify the small molecule compounds towards A1R and A2aR, and top six molecules were considered as candidates via amber scores. The molecular dynamic (MD) simulations and molecular mechanics/generalized born surface area (MM/GBSA) were employed to further analyze the affinity and binding stability of the six molecules towards A1R and A2aR. Moreover, energy decomposition analysis showed significant residues in A1R and A2aR, including His1383, Phe1276, and Glu1277. It provided basics for discovery of novel agonists and antagonists. Finally, the agonists of A1R (ZINC19943625, ZINC13555217, and ZINC04698406) and inhibitors of A2aR (ZINC19370372, ZINC20176051, and ZINC57263068) were successfully recognized. Taken together, our discovered small molecules may serve as the promising candidate agents for future pain research.
A framework for implementing holistic and integrated life cycle sustainability assessment of regional bioeconomy
Authors: Zeug Walther , Bezama Alberto , Thrän Daniela 
Published: October 2021

AbstractPurposeCurrently, social, environmental, and economic risks and chances of bioeconomy are becoming increasingly a subject of applied sustainability assessments. Based on life cycle assessment (LCA) methodology, life cycle sustainability assessment (LCSA) aims to combine or integrate social, environmental, and economic assessments. In order to contribute to the current early stage of LCSA development, this study seeks to identify a practical framework for integrated LCSA implementation.MethodsWe select possible indicators from existing suitable LCA and LCSA approaches as well as from the literature, and allocate them to a sustainability concept for holistic and integrated LCSA (HILCSA), based on the Sustainable Development Goals (SDGs). In order to conduct a practical implementation of HILCSA, we choose openLCA, because it offers the best current state and most future potential for application of LCSA. Therefore, not only the capabilities of the software and databases, but also the supported methods of life cycle impact assessments (LCIA) are evaluated regarding the requirements of the indicator set and goal and scope of future case studies.Results and discussionThis study presents an overview of available indicators and LCIAs for bioeconomy sustainability assessments as well as their link to the SDGs. We provide a practical framework for HILCSA of regional bioeconomy, which includes an indicator set for regional (product and territorial) bioeconomy assessment, applicable with current software and databases, LCIA methods and methods of normalization, weighting, and aggregation. The implementation of HILCSA in openLCA allows an integrative LCSA by conducting all steps in a single framework with harmonized, aggregated, and coherent results. HILCSA is capable of a sustainability assessment in terms of planetary boundaries, provisioning system and societal needs, as well as communication of results to different stakeholders.ConclusionsOur framework is capable of compensating some deficits of S-LCA, E-LCA, and economic assessments by integration, and shows main advantages compared to additive LCSA. HILCSA is capable of addressing 15 out of 17 SDGs. It addresses open questions and significant problems of LCSAs in terms of goal and scope, LCI, LCIA, and interpretation. Furthermore, HILCSA is the first of its kind actually applicable in an existing software environment. Regional bioeconomy sustainability assessment is bridging scales of global and regional effects and can inform stakeholders comprehensively on various impacts, hotspots, trade-offs, and synergies of regional bioeconomy. However, significant research needs in LCIAs, software, and indicator development remain.
The pivotal role of monitoring for collaborative problem solving seen in interaction, performance, and interpersonal physiology
Authors: Haataja Eetu , Malmberg Jonna , Dindar Muhterem , Järvelä Sanna 
Published: October 2021

AbstractBeing aware of the progress towards one’s goals is considered one of the main characteristics of the self-regulation process. This is also the case for collaborative problem solving, which invites group members to metacognitively monitor the progress with their goals and externalize it in social interactions while solving a problem. Monitoring challenges can activate group members to control the situation together, which can be seen as adjustments on different systemic levels (physiological, psychological, and interpersonal) of a collaborative group. This study examines how the pivotal role of monitoring for collaborative problem solving is reflected in interactions, performance, and interpersonal physiology. The study has foci in two central characteristics of monitoring interactions that facilitate groups’ regulation in reaching their goals. First is valence of monitoring, indicating whether the group members think they are progressing towards their goal or not. Second is equality of participation in monitoring interactions between group members. Participants of the study were volunteering higher education students (N = 57), randomly assigned to groups of three members whose collaborative task was to learn to run a business simulation. The collaborative task was video recorded, and the physiological arousal of each participant was recorded from their electrodermal activity. The results of the study suggest that both the valence and equality of participation are identifiable in monitoring interactions and they both positively predict groups’ performance in the task. Equality of participation to monitoring was not related to the interpersonal physiology. However, valence of monitoring was related to interpersonal physiology in terms of physiological synchrony and arousal. The findings support the view that characteristics of monitoring interactions make a difference to task performance in collaborative problem solving and that interpersonal physiology relates to these characteristics.
The social-psychological perspective on executive compensation: evidence from a two-tier board system
Authors: Schwering Anja , Sommer Friedrich , Uepping Florian , Winkelmann Sandra 
Published: October 2021

AbstractThis paper investigates whether and how social-psychological mechanisms, namely reciprocity, demographic similarity, and similar experiences, affect CEO compensation packages with respect to the levels of total, fixed, and short- and mid-term compensation and the variable proportion of the compensation package. We use evidence from Germany as it is considered a prototype of a two-tier board system. Given the primary roles of both the CEO and the chair of the supervisory board, we especially highlight social-psychological mechanisms in the process leading to the final compensation package. Using a hand-collected sample of non-financial constituents of the German HDAX, we find that reciprocity can lead to a compensation package that is more favorable for the CEO. Results on similarity are ambivalent such that the effects of similarity on CEO compensation—both positive and negative—may depend on the dimension of similarity. Finally, the chair’s CEO experience, both inside and outside the focal company, also plays an essential role in shaping CEO compensation. More specifically, CEO experience in general is associated with more favorable compensation. However, having a chair that has been CEO at the focal company correlates with less favorable compensation packages except for when the CEO has also been recruited internally.
First serological record of Coxiella burnetii infection in the equine population of Slovakia
Authors: Drážovská Monika , Prokeš Marián , Vojtek Boris , Mojžišová Jana , Ondrejková Anna , Korytár Ľuboš 
Published: October 2021

AbstractCoxiella burnetii is a worldwide zoonotic pathogen causing Q fever in various animal species and humans. In Slovakia, cases of C. burnetii infection in both animals and humans are confirmed every year. The role of horses in the epidemiology of this neglected disease is still unclear. In our study, we focused on a serosurvey of C. burnetii in the equine population in Slovakia by the ELISA method. Subsequently, a nested PCR was performed to detect the 16S rRNA fragment of the genus Coxiella. Among 184 horse sera, the presence of specific antibodies to C. burnetii was detected in four samples, representing a 2.17% seropositivity. All the positive horses were mares; two originated from Central Slovakia and two from Eastern Slovakia. Although the number of positive samples was too small for a determination of statistical significance, our results provide the first confirmation of antibodies to C. burnetii in horses from Slovakia. Although no positive PCR result was obtained, these serological findings may help to clarify the circulation of the pathogen in the environment.
Severe and Difficult Asthma: Diagnosis and Management—Challenges for a Low-Resource Environment
Authors: Bush Andrew 
Published: October 2021

AbstractSever﻿e and difficult asthma in a low- and middle-income country (LMIC) can relate to (a) lack of availability of basic medications; (b) potentially reversible factors such as poor adherence or comorbidities such as obesity inhibiting a good response to treatment; and (c) (rarely) true severe, therapy-resistant asthma. However, definitions of severity should encompass not merely doses of prescribed medication, but also underlying risk. The nature of asthmatic airway disease shows geographical variation, and LMIC asthma should not be assumed to be phenotypically the same as that in high-income countries (HICs). The first assessment step is to ensure another diagnosis is not being missed. Largely, political action is needed if children with asthma are to get access to basic medications. If a child is apparently not responding to low dose, simple medications, the next step is not to increase the dose but perform a detailed assessment of what factors (for example co-morbidities such as obesity, or social factors like poor adherence) are inhibiting a treatment response; in most cases, an underlying reason can be found. An assessment of risk of future severe asthma attacks, side-effects of medication and impaired lung development is also important. True severe, therapy-resistant asthma is rare and there are multiple underlying molecular pathologies. In HICs, steroid-resistant eosinophilia would be treated with omalizumab or mepolizumab, but the cost of these is prohibitive in LMICs, the biomarkers of successful therapy are likely only relevant to HICs. In LMICs, a raised blood eosinophil count may be due to parasites, so treating asthma based on the blood eosinophil count may not be appropriate in these settings.
An Update for Taxonomy Designers
Authors: Kundisch Dennis , Muntermann Jan , Oberländer Anna Maria , Rau Daniel , Röglinger Maximilian , Schoormann Thorsten , Szopinski Daniel 
Published: October 2021

AbstractTaxonomies are classification systems that help researchers conceptualize phenomena based on their dimensions and characteristics. To address the problem of ‘ad-hoc’ taxonomy building, Nickerson et al. (2013) proposed a rigorous taxonomy development method for information systems researchers. Eight years on, however, the status quo of taxonomy research shows that the application of this method lacks consistency and transparency and that further guidance on taxonomy evaluation is needed. To fill these gaps, this study (1) advances existing methodological guidance and (2) extends this guidance with regards to taxonomy evaluation. Informed by insights gained from an analysis of 164 taxonomy articles published in information systems outlets, this study presents an extended taxonomy design process together with 26 operational taxonomy design recommendations. Representing an update for taxonomy designers, it contributes to the prescriptive knowledge on taxonomy design and seeks to augment both rigorous taxonomy building and evaluation.