bluuebunny/crossref_metadata_2025_split huggingface dataset:
An innovative targeted therapy for fluoroscopy-induced chronic radiation dermatitis
Authors: Wei Kai-Che , Lai Shih-Fan , Huang Wei-Lun , Yang Kuo-Chung , Lai Ping-Chin , Wei Wan-Ju , Chang Tsung-Hsien , Huang Yun-Chen , Tsai Ya-Chuan , Lin Shin-Chih , Lin Sun-Jang , Lin Shih-Chieh 
Published: October 2021

Abstract
Fluoroscopy-induced chronic radiation dermatitis (FICRD) is a complication of fluoroscopy-guided intervention. Unlike acute radiation dermatitis, FICRD is different as delayed onset and usually appears without preexisting acute dermatitis. Unfortunately, the chronic and progressive pathology of FICRD makes it difficult to treat, and some patients need to receive wide excision and reconstruction surgery. Due to lack of standard treatment, investigating underlying mechanism is needed in order to develop an effective therapy. Herein, the Hippo pathway is specifically identified using an RNA-seq analysis in mild damaged skin specimens of patients with FICRD. Furthermore, specific increase of the Yes-associated protein (YAP1), an effector of the Hippo pathway, in skin region with mild damage plays a protective role for keratinocytes via positively regulating the numerous downstream genes involved in different biological processes. Interestingly, irradiated-keratinocytes inhibit activation of fibroblasts under TGF-β1 treatment via remote control by an exosome containing YAP1. More importantly, targeting one of YAP1 downstream genes, nuclear receptor subfamily 3 group C member 1 (NR3C1), which encodes glucocorticoid receptor, has revealed its therapeutic potential to treat FICRD by inhibiting fibroblasts activation in vitro and preventing formation of radiation ulcers in a mouse model and in patients with FICRD. Taken together, this translational research demonstrates the critical role of YAP1 in FICRD and identification of a feasible, effective therapy for patients with FICRD.

Key messages
• YAP1 overexpression in skin specimens of radiation dermatitis from FICRD patient.
• Radiation-induced YAP1 expression plays protective roles by promoting DNA damage repair and inhibiting fibrosis via remote control of exosomal YAP1.
• YAP1 positively regulates NR3C1 which encodes glucocorticoid receptor expression.
• Targeting glucocorticoid receptor by prednisolone has therapeutic potential for FICRD patient.
Automated detection of the contrast phase in MDCT by an artificial neural network improves the accuracy of opportunistic bone mineral density measurements
Authors: Rühling Sebastian , Navarro Fernando , Sekuboyina Anjany , El Husseini Malek , Baum Thomas , Menze Bjoern , Braren Rickmer , Zimmer Claus , Kirschke Jan S. 
Published: October 2021

Abstract
Objectives
To determine the accuracy of an artificial neural network (ANN) for fully automated detection of the presence and phase of iodinated contrast agent in routine abdominal multidetector computed tomography (MDCT) scans and evaluate the effect of contrast correction for osteoporosis screening.

Methods
This HIPPA-compliant study retrospectively included 579 MDCT scans in 193 patients (62.4 ± 14.6 years, 48 women). Three different ANN models (2D DenseNet with random slice selection, 2D DenseNet with anatomy-guided slice selection, 3D DenseNet) were trained in 462 MDCT scans of 154 patients (threefold cross-validation), who underwent triphasic CT. All ANN models were tested in 117 unseen triphasic scans of 39 patients, as well as in a public MDCT dataset containing 311 patients. In the triphasic test scans, trabecular volumetric bone mineral density (BMD) was calculated using a fully automated pipeline. Root-mean-square errors (RMSE) of BMD measurements with and without correction for contrast application were calculated in comparison to nonenhanced (NE) scans.

Results
The 2D DenseNet with anatomy-guided slice selection outperformed the competing models and achieved an F1 score of 0.98 and an accuracy of 98.3% in the test set (public dataset: F1 score 0.93; accuracy 94.2%). Application of contrast agent resulted in significant BMD biases (all p < .001; portal-venous (PV): RMSE 18.7 mg/ml, mean difference 17.5 mg/ml; arterial (AR): RMSE 6.92 mg/ml, mean difference 5.68 mg/ml). After the fully automated correction, this bias was no longer significant (p > .05; PV: RMSE 9.45 mg/ml, mean difference 1.28 mg/ml; AR: RMSE 3.98 mg/ml, mean difference 0.94 mg/ml).

Conclusion
Automatic detection of the contrast phase in multicenter CT data was achieved with high accuracy, minimizing the contrast-induced error in BMD measurements.

Key Points
• A 2D DenseNet with anatomy-guided slice selection achieved an F1 score of 0.98 and an accuracy of 98.3% in the test set. In a public dataset, an F1 score of 0.93 and an accuracy of 94.2% were obtained.
• Automated adjustment for contrast injection improved the accuracy of lumbar bone mineral density measurements (RMSE 18.7 mg/ml vs. 9.45 mg/ml respectively, in the portal-venous phase).
• An artificial neural network can reliably reveal the presence and phase of iodinated contrast agent in multidetector CT scans (https://github.com/ferchonavarro/anatomy_guided_contrast_c). This allows minimizing the contrast-induced error in opportunistic bone mineral density measurements.
Distributed computation with continual population growth
Authors: Cho Da-Jung , Függer Matthias , Hopper Corbin , Kushwaha Manish , Nowak Thomas , Soubeyran Quentin 
Published: October 2021

AbstractComputing via synthetically engineered bacteria is a vibrant and active field with numerous applications in bio-production, bio-sensing, and medicine. Motivated by the lack of robustness and by resource limitation inside single cells, distributed approaches with communication among bacteria have recently gained in interest. In this paper, we focus on the problem of population growth happening concurrently, and possibly interfering, with the desired bio-computation. Specifically, we present a fast protocol in systems with continuous population growth for the majority consensus problem and prove that it correctly identifies the initial majority among two inputs with high probability if the initial difference is $$\varOmega (\sqrt{n\log n})$$

Ω
(

n
log
n

)

where n is the total initial population. We also present a fast protocol that correctly computes the Nand of two inputs with high probability. By combining Nand gates with the majority consensus protocol as an amplifier, it is possible to compute arbitrary Boolean functions. Finally, we extend the protocols to several biologically relevant settings. We simulate a plausible implementation of a noisy Nand gate with engineered bacteria. In the context of continuous cultures with a constant outflow and a constant inflow of fresh media, we demonstrate that majority consensus is achieved only if the flow is slower than the maximum growth rate. Simulations suggest that flow increases consensus time over a wide parameter range. The proposed protocols help set the stage for bio-engineered distributed computation that directly addresses continuous stochastic population growth.
COVID-19-related delays of botulinum toxin injections have a negative impact on the quality of life of patients with dystonia and spasticity: a single-center ambulatory care study
Authors: Teuschl Yvonne , Bancher Christian , Brainin Michael , Dachenhausen Alexandra , Matz Karl , Pinter Michaela M. 
Published: October 2021

Abstract
Background
Botulinum toxin A (BoNT-A) is considered a safe and effective treatment for spasticity and dystonia. Individual interinjection intervals are critical for the maintenance of the effect. In Austria, BoNT outpatient clinics were shutdown from November to December 2020 during COVID-19 control measures, leading to rescheduling of BoNT-A injections. This survey aimed at investigating the influence of injection delays on symptoms, physical functioning, and quality of life (QoL) of the affected patients.

Methods
Between April and July 2021, 32 outpatients (21 females, mean age: 63.4 ± 12.1 years) treated ≥ 12 months at the BoNT outpatient clinic Horn-Allentsteig (Austria) and experienced ≥ 2 week injection delays, completed a structured face-to-face questionnaire.

Results
Indications were dystonia (34%), spasticity (63%), and hyperhidrosis (3%). Injections were delayed by 10 weeks (median, range: 2–15). Muscle cramps increased in 95% of patients with spasticity, muscle twitches in 91% of those with dystonia, and pain in 9% and 60% for dystonia and spasticity, respectively. Overall, 75% reported functional worsening, and deterioration in QoL by 62.6% ± 16.8 (mean ± SD). The impact on QoL correlated with the subjective global improvement induced by BoNT-A (Rs: 0.625; p < 0.001). For 75%, long-term assurance of BoNT-A therapy was very important, and 81% felt their patient rights not respected.

Conclusions
COVID-19-related delays in BoNT-A injections illustrate the importance of this therapy for symptom relief, functional outcome, and QoL in patients suffering from involuntary muscle hyperactivity. BoNT-A therapy is essential and has to be guaranteed even in circumstances such as the COVID-19 pandemic.
Nach dem Streik ist vor dem Streik
Authors: Keller Berndt Karl 
Published: October 2021

ZusammenfassungAnfang der 2000er Jahre bildeten sich einige Berufsgewerkschaften, die das alte System der Tarifeinheit lockerten, bis das Bundesarbeitsgericht schließlich 2010 die Tarifpluralität grundsätzlich zuließ. Mit dem Tarifeinheitsgesetz von 2015 sollte die Macht kleiner Berufsgewerkschaften wieder eingegrenzt werden. Die Regeln im Tarifeinheitsgesetz sind jedoch zu unbestimmt um zu verhindern, dass es zu Konflikten der Gewerkschaften innerhalb eines Unternehmens kommt. Die Bahn bietet hier ein gutes Beispiel.
Teaching mathematics with technology: a multidimensional analysis of teacher beliefs
Authors: Thurm Daniel , Barzel Bärbel 
Published: October 2021

AbstractTeacher self-efficacy beliefs, epistemological beliefs, and beliefs about teaching with technology are regarded as crucial factors for teaching mathematics with technology. However, there is a lack of research that investigates these beliefs while taking into account the multidimensionality of the constructs. In this cross-sectional study with n = 198 upper secondary in-service teachers in Germany, we used multidimensional scales to measure teachers’ i) beliefs about teaching with technology, ii) self-efficacy beliefs, and iii) epistemological beliefs. Furthermore, teachers were asked to self-report on their iv) implementation of technology with respect to different modes of technology use. The results uncover differential associations among the constructs and identify sub-dimensions that are especially central. In particular, three clusters of sub-dimensions can be reconstructed. One cluster reflects a broader set of sub-dimensions and is related to a more integrated and constructivist implementation of technology. In this cluster, self-efficacy can be identified as a central construct. A further cluster is related to using technology to support multiple representations which turned out to be independent of many other sub-dimensions. Finally, the third cluster comprises sub-dimension that can be interpreted as less central. This cluster in particular contains teachers’ beliefs about the detrimental effects of teaching with technology, which points out that beliefs about the risks of technology use are less central than beliefs about the potential benefits of technology. The results can inform more differentiated approaches to teacher professional development related to teaching mathematics with technology.
Efficient static analysis and verification of featured transition systems
Authors: ter Beek Maurice H. , Damiani Ferruccio , Lienhardt Michael , Mazzanti Franco , Paolini Luca 
Published: October 2021

AbstractA Featured Transition System (FTS) models the behaviour of all products of a Software Product Line (SPL) in a single compact structure, by associating action-labelled transitions with features that condition their presence in product behaviour. It may however be the case that the resulting featured transitions of an FTS cannot be executed in any product (so called dead transitions) or, on the contrary, can be executed in all products (so called false optional transitions). Moreover, an FTS may contain states from which a transition can be executed only in some products (so called hidden deadlock states). It is useful to detect such ambiguities and signal them to the modeller, because dead transitions indicate an anomaly in the FTS that must be corrected, false optional transitions indicate a redundancy that may be removed, and hidden deadlocks should be made explicit in the FTS to improve the understanding of the model and to enable efficient verification—if the deadlocks in the products should not be remedied in the first place. We provide an algorithm to analyse an FTS for ambiguities and a means to transform an ambiguous FTS into an unambiguous one. The scope is twofold: an ambiguous model is typically undesired as it gives an unclear idea of the SPL and, moreover, an unambiguous FTS can efficiently be model checked. We empirically show the suitability of the algorithm by applying it to a number of benchmark SPL examples from the literature, and we show how this facilitates a kind of family-based model checking of a wide range of properties on FTSs.
Reviewing rounds prediction for code patches
Authors: Huang Yuan , Liang Xingjian , Chen Zhihao , Jia Nan , Luo Xiapu , Chen Xiangping , Zheng Zibin , Zhou Xiaocong 
Published: October 2021

AbstractCode review is one of the common activities to guarantee the reliability of software, while code review is time-consuming as it requires reviewers to inspect the source code of each patch. A patch may be reviewed more than once before it is eventually merged or abandoned, and then such a patch may tighten the development schedule of the developers and further affect the development progress of a project. Thus, a tool that predicts early on how long a patch will be reviewed can help developers take self-inspection beforehand for the patches that require long-time review. In this paper, we propose a novel method, PMCost, to predict the reviewing rounds of a patch. PMCost uses a number of features, including patch meta-features, code diff features, personal experience features and patch textual features, to better reflect code changes and review process. To examine the benefits of PMCost, we perform experiments on three large open source projects, namely Eclipse, OpenDaylight and OpenStack. The encouraging experimental results demonstrate the feasibility and effectiveness of our approach. Besides, we further study the why the proposed features contribute to the reviewing rounds prediction.
Gender Differences in Perceived Family Involvement and Perceived Family Control during Emerging Adulthood: A Cross-Country Comparison in Southern Europe
Authors: García-Mendoza M. C. , Parra A. , Sánchez-Queija I. , Oliveira J. E. , Coimbra S. 
Published: October 2021

AbstractThe aim of the present study was to explore gender differences in perceived parental involvement and perceived psychological and behavioral control during emerging adulthood in two Southern European countries (Spain and Portugal). Data were collected from 491 Portuguese and 552 Spanish undergraduate emerging adults (53.7 % women and 46.3 % men) aged between 18 and 29 years (M = 20.24 and SD = 2.12). Results indicated that women perceived higher levels of parental involvement than men in both countries, and men perceived more behavioral control than women in Portugal. Furthermore, gender was found to moderate the association between perceived parental involvement and perceived psychological and behavioral control differently in each country. Taken together, our findings suggest that gender-differentiated socialization patterns persist during emerging adulthood and that these patterns may be affected by the sociocultural context.
Assessment of tantalum nanoparticle-induced MC3T3-E1 proliferation and underlying mechanisms
Authors: Kang Chengrong , Wang Yudong , Li Liang , Li Zhangwei , Zhou Qianbing , Pan Xuan 
Published: October 2021

Abstract
Objective
In our previous study, tantalum nanoparticle (Ta-NPs) was demonstrated to promote osteoblast proliferation via autophagy induction, but the specific mechanism remains unclear. In the present study, we will explore the potential mechanism.

Methods
Ta-NPs was characterized by transmission electron microscopy, scanning electron microscopy, dynamic light scattering, and BET specific surface area test. MC3T3-E1 were treated with 0 or 20 μg/mL Ta-NPs with or without pretreatment with 10 μM LY294002, Triciribine, Rapamycin (PI3K/Akt/mTOR pathway inhibitors) for 1 h respectively. Western blotting was used to detect the expressions of pathway proteins and LC3B. CCK-8 assay was used to assess cell viability. Flow cytometry was used to detect apoptosis and cell cycle.

Results
After pretreatment with LY294002, Triciribine and Rapamycin, the p-Akt/Akt ratio of pathway protein in Triciribine and Rapamycin groups decreased (P < 0.05), while the autophagy protein LC3-II/LC3-I in the Rapamycin group was upregulated obviously (P < 0.001). In all pretreated groups, apoptosis was increased (LY294002 group was the most obvious), G1 phase cell cycle was arrested (Triciribine and Rapamycin groups were more obvious), and MC3T3-E1 cells were proliferated much more (P < 0.01, P < 0.001, P < 0.05).

Conclusion
Pretreatment with Triciribine or Rapamycin has a greater effect on pathway protein Akt, cell cycle arrest, autophagy protein, and cell proliferation but with inconsistent magnitude, which may be inferred that the Akt/mTOR pathway, as well as its feedback loop, were more likely involved in these processes.
Backtesting coordinated hydropower bidding using neural network forecasting
Authors: Bringedal Amanda Sæbø , Søvikhagen Anne-Marthe Liaklev , Aasgård Ellen Krohn , Fleten Stein-Erik 
Published: October 2021

AbstractA stochastic programming model for a price-taking, profit-maximizing hydropower producer participating in the Nordic day-ahead and balancing market is developed and evaluated by backtesting over 200 historical days. We find that the producer may gain 0.07% by coordinating its trades in the day-ahead and balancing market, compared to considering the two markets sequentially. It is thus questionable whether a coordinated bidding strategy is worthwhile. However, the gain from coordinating trades is dependent on the quality of the forecasts for the balancing market. The limited gain of 0.07% comes from using an artificial neural network prediction model that is trained on historical data on seasonal effects, day-ahead market price, wind and temperature forecasts. To quantify the effect of the forecasting model on the gain of coordination, we therefore develop a benchmarking framework for two additional prediction models: a naive forecast predicting zero imbalance in expectation, and a perfect information forecast. Using the naive method, we estimate the lower bound of coordination to be 0.0% which coincides with theory. When having perfect information, we find that the upper bound for the gain is 3.8% which indicates that a substantial gain in profits can be obtained by coordinated bidding if accurate prediction methods could be developed.
Why Digital Assistants Need Your Information to Support Your Autonomy
Authors: Heinrichs Jan-Hendrik 
Published: October 2021

Abstract
This article investigates how human life is conceptualized in the design and use of digital assistants and how this conceptualization feeds back into the life really lived. It suggests that a specific way of conceptualizing human life — namely as a set of tasks to be optimized — is responsible for the much-criticized information hunger of these digital assistants. The data collection of digital assistants raises not just several issues of privacy, but also the potential for improving people’s degree of self-determination, because the optimization model of daily activity is genuinely suited to a certain mode of self-determination, namely the explicit and reflective setting, pursuing, and monitoring of goals. Furthermore, optimization systems’ need for generation and analysis of data overcomes one of the core weaknesses in human capacities for self-determination, namely problems with objective and quantitative self-assessment. It will be argued that critiques according to which digital assistants threaten to reduce their users’ autonomy tend to ignore that the risks to autonomy are derivative to potential gains in autonomy. These critiques are based on an overemphasis of a success conception of autonomy. Counter to this conception, being autonomous does not require a choice environment that exclusively supports a person’s “true” preferences, but the opportunity to engage with external influences, supportive as well as adverse. In conclusion, it will be argued that ethical evaluations of digital assistants should consider potential gains as well as potential risks for autonomy caused by the use of digital assistants.
Investigations to characterize the interactions of light radiation, engine operating media and fluorescence tracers for the use of qualitative light-induced fluorescence in engine systems
Authors: Schweizer Thorsten , Kubach Heiko , Koch Thomas 
Published: October 2021

AbstractThe light-induced fluorescence (LIF) represents an important tool for the continuous improvement and further development of combustion engine systems regarding efficiency increase. In this work, the interactions between light-emitting diode (LED) and laser diode light radiation, engine oil/fuel and three fluorescence tracers are investigated on an application-related investigation system for the design of qualitative LIF experiments. Thereby two efficient light sources for engine combustion chamber lighting are presented. For different engine oil/fuel tracer combinations, the fluorescence is examined in its intensity and its spectrum depending on the temperature, concentration and temperature history. With oil temperature variations of up to 150 °C, changes in the fluorescence spectrum and fluorescence intensities that decrease by up to 80% are evident. For specific tracer oil/fuel mixtures, concentration-dependent maximum intensities and different temperature history behaviors can be revealed. The results shown support the design of spectral engine examination setups and give tracer dosage recommendations. Additionally, an engine LIF setup for in-cylinder tracking of engine operating media is presented.
Against ‘John Cage Shock’: Rethinking John Cage and the Post-war Avant-garde in Japan
Authors: YANG SERENA 
Published: October 2021

AbstractAfter Cage and Tudor visited Japan in 1962, the term ‘Cage Shock’ circulated widely among the Japanese public. My interviews with Japanese composers suggest that the term ‘Cage Shock’ oversimplifies the reception of Cage's debut in Japan. Composer Yūji Takahashi stated that Cage would have met Japanese audiences well prepared for his visit by musical trends present in Japan as early as the late 1940s. Building on the statement that the Japanese avant-garde was thriving before Cage visited Japan in 1962, this article aims to deconstruct the term ‘Cage Shock’ by restoring the complexity of the reception of Cage in Japan and by analysing the reasons why critics adopted the term ‘Cage Shock’. I argue that ‘Cage Shock’ has functioned more as a media buzzword that sensationalizes the story of Cage's impact on Japan than as an objective description of Japanese reaction to Cage.