bluuebunny/crossref_metadata_2025_split huggingface dataset:
Arginine inhibits the arginine biosynthesis rate-limiting enzyme and leads to the accumulation of intracellular aspartate in Synechocystis sp. PCC 6803
Authors: Katayama Noriaki , Osanai Takashi 
Published: March 2024

AbstractCyanobacteria are oxygen-evolving photosynthetic prokaryotes that affect the global carbon and nitrogen turnover. Synechocystis sp. PCC 6803 (Synechocystis 6803) is a model cyanobacterium that has been widely studied and can utilize and uptake various nitrogen sources and amino acids from the outer environment and media. l-arginine is a nitrogen-rich amino acid used as a nitrogen reservoir in Synechocystis 6803, and its biosynthesis is strictly regulated by feedback inhibition. Argininosuccinate synthetase (ArgG; EC 6.3.4.5) is the rate-limiting enzyme in arginine biosynthesis and catalyzes the condensation of citrulline and aspartate using ATP to produce argininosuccinate, which is converted to l-arginine and fumarate through argininosuccinate lyase (ArgH). We performed a biochemical analysis of Synechocystis 6803 ArgG (SyArgG) and obtained a Synechocystis 6803 mutant overexpressing SyArgG and ArgH of Synechocystis 6803 (SyArgH). The specific activity of SyArgG was lower than that of other arginine biosynthesis enzymes and SyArgG was inhibited by arginine, especially among amino acids and organic acids. Both arginine biosynthesis enzyme-overexpressing strains grew faster than the wild-type Synechocystis 6803. Based on previous reports and our results, we suggest that SyArgG is the rate-limiting enzyme in the arginine biosynthesis pathway in cyanobacteria and that arginine biosynthesis enzymes are similarly regulated by arginine in this cyanobacterium. Our results contribute to elucidating the regulation of arginine biosynthesis during nitrogen metabolism.
From Text to Meaning: Unpacking the Semiotics of Article 9 of the European Convention on Human Rights
Authors: Baldi Giorgia 
Published: March 2024

AbstractThrough an analysis of the European Court of Human Rights’ decisions concerning the practice of veiling, this article problematises the semiotics-architectural structure of article 9 of the European Convention of Human Rights (Freedom of thought, conscience and religion), questioning which representation of the human and the female subject is recognised and therefore protected by secular/liberal and Human Rights law. It argues that the semiotics-architectural structure of article 9, which is based on the distinction between faith and its manifestation, not only relies on a particular ontological understanding of the religious subject as well as a specific notion of religion, but it also reveals a distinct relationship between the individual and sovereign power through the division between the public and the private spheres. In light of this, the western debate surrounding the women’s veiling overlooks how liberal secularism perceives and defines the religious and legal gendered subject in the modern world, and how this understanding is embedded in and reproduced through the law, which emerges as an instrument for regulating minority religious communities.
Enhancing big data analytics deployment: uncovering stakeholder dynamics and balancing salience in project roles
Authors: Jensen Maria Hoffmann , Kadenic Maja Due 
Published: March 2024

AbstractDeployment constitutes a pivotal aspect of data science projects, such as big data analytics (BDA). A comprehensive definition of successful deployment necessitates the integration of perspectives from both the project stakeholders and the end-users. However, adequate consideration of project stakeholders remains notably absent within the broader view of project deployment. This paper investigates the role of stakeholders in the deployment of BDA projects by applying an ethnographic research design throughout a 12-month period within a large multinational organization. The study employs critical systems heuristics concepts to identify stakeholder roles, which are subsequently classified and analyzed according to the salience model. The empirical findings point towards the missing link between the technical and the business aspects of a BDA project. The organizational function and product management, (capable of comprehending both the technical and business dimensions) must undertake a highly salient stakeholder role to effectively guide the project toward the successful deployment. Additionally, this role will be able to identify the exact beneficiaries, thus enabling them to increase their salience and their interests to resonate across the spectrum of project stakeholders. This study advances the knowledge and understanding of BDA deployment through the lens of a stakeholder perspective and systems thinking. It uncovers the necessary resources by mapping the social roles of a project and assessing their salience. Balancing role-based salience contributes to successful BDA project deployment.
Lowering the cost of quantum comparator circuits
Authors: Donaire Laura M. , Ortega Gloria , Garzón Ester M. , Orts Francisco 
Published: March 2024

AbstractQuantum comparators hold substantial significance in the scientific community as fundamental components in a wide array of algorithms. In this research, we present an innovative approach where we explore the realm of comparator circuits, specifically focussing on three distinct circuit designs present in the literature. These circuits are notable for their use of T-gates, which have gained significant attention in circuit design due to their ability to enable the utilisation of error-correcting codes. However, it is important to note that T-gates come at a considerable computational cost. One of the key contributions of our work is the optimisation of the quantum gates used within these circuits. We articulate the proposed circuits employing Clifford+T gates, facilitating error correction code implementation. Additionally, we minimise T-gate usage, thereby reducing computational costs and fortifying circuit robustness against errors and environmental disturbances-essential for mitigating the effects of internal and external noise. Our methodology employs a bottom-up examination of comparator circuits, initiating with a detailed study of their gates. Subsequently, we systematically dissect the functions of these gates, thereby advancing towards a comprehensive understanding of the circuit’s overall functionality. This meticulous examination forms the foundation of our research, enabling us to identify areas where optimisations can be made to improve their performance.
Inquiry, reasoning and the normativity of logic
Authors: van Remmen Maximilian 
Published: March 2024

AbstractAccording to the traditional view in the philosophy of logic facts of logic bear normative authority regarding how one ought to reason. Usually this is to mean that the relation of logical consequence between statements has some special relevance for how one’s beliefs should cohere. However, as I will argue in this article, this is just one way in which logic is normative for reasoning. For one thing, belief is not the only kind of mental state involved in reasoning. Besides adopting and revising beliefs, rational agents pose and resolve questions. For another thing, the consequence relation of classical logic can be conservatively extended such that it includes logical relations between questions as well. Therefore, there is an argument to be made that not only the inference of new beliefs from extant beliefs but also the process of raising additional questions falls under the normative authority of logic. Accordingly, a nuanced account of the normativity of logic presents itself, which convincingly deals with problems such as clutter-avoidance and the paradox of the preface.
One-Shot Neural Face Reenactment via Finding Directions in GAN’s Latent Space
Authors: Bounareli Stella , Tzelepis Christos , Argyriou Vasileios , Patras Ioannis , Tzimiropoulos Georgios 
Published: March 2024

AbstractIn this paper, we present our framework for neural face/head reenactment whose goal is to transfer the 3D head orientation and expression of a target face to a source face. Previous methods focus on learning embedding networks for identity and head pose/expression disentanglement which proves to be a rather hard task, degrading the quality of the generated images. We take a different approach, bypassing the training of such networks, by using (fine-tuned) pre-trained GANs which have been shown capable of producing high-quality facial images. Because GANs are characterized by weak controllability, the core of our approach is a method to discover which directions in latent GAN space are responsible for controlling head pose and expression variations. We present a simple pipeline to learn such directions with the aid of a 3D shape model which, by construction, inherently captures disentangled directions for head pose, identity, and expression. Moreover, we show that by embedding real images in the GAN latent space, our method can be successfully used for the reenactment of real-world faces. Our method features several favorable properties including using a single source image (one-shot) and enabling cross-person reenactment. Extensive qualitative and quantitative results show that our approach typically produces reenacted faces of notably higher quality than those produced by state-of-the-art methods for the standard benchmarks of VoxCeleb1 & 2.
Quality methods in virtual and augmented reality with a focus on education: a systematic literature review
Authors: Karcher Amelie , Arnold Dominik , Kuhlenkötter Bernd 
Published: March 2024

AbstractWith the goal of developing a unified approach for implementation of training for quality methods—with the help of innovative assistance systems—the current state of research is determined within the scope of this work. These quality methods include Quality Management Systems such as Lean Management and Six Sigma. A systematic literature search is conducted to determine the current state of research on Augmented and Virtual Reality data glasses, which are considered here as innovative assistance systems. This search extends without restriction to the date of data collection at the beginning of the year 2022, as Augmented and Virtual Reality data glasses are considered to be particularly immersive technologies. Based on the databases Scopus and Web of Science, an extended systematic literature review was used for the research. By answering the research question and classifying the implemented research work, an overview of the current state of virtual and augmented reality research will be given. This makes it clear that further research is needed, especially with regard to the training of quality methods, to develop specific models and action guidelines.
Efficient numerical implementation of limit equilibrium method for stability analysis of unsaturated soil slopes using Gaussian integral
Authors: Ouyang Weihang , Liu Siwei , Liu Kai , Yin Jianhua 
Published: March 2024

AbstractUnsaturated soil is widely distributed around the world but less considered in design due to the absence of a convenient analysis method in practice. The Morgenstern–Price (MP) method incorporating the extended Mohr–Coulomb shear strength equation provides a reliable approach to evaluate slope stability in such conditions. However, this method is time-consuming due to the need for a tedious trial-and-error process in determining the scaling factor, which involves complex iterations during each trial. Furthermore, since the relatively complicated nature of unsaturated soil, a dense slice division is necessary to obtain reliable results, making the analysis even more cumbersome. In this paper, an improved MP method for unsaturated soil slope stability analysis is presented, which eliminates the need for a dense slice mesh by employing only a few strategically placed Gauss points along the slip surface. Moreover, the trial-and-error process for determining the scaling factor with the corresponding complex iterations is replaced by an efficient search algorithm with a more concise iteration process, resulting in a more convenient implementation of the proposed method. Extensive examples are provided to validate the effectiveness of the proposed improved MP method, indicating its potential as an accurate and efficient analysis method for unsaturated soil slopes in practical application and relative study involving repetitive analyses.
Cross-sectional angle prediction of lipid-rich and calcified tissue on computed tomography angiography images
Authors: Zhang Xiaotong , Broersen Alexander , Sokooti Hessam , Ramasamy Anantharaman , Kitslaar Pieter , Parasa Ramya , Karaduman Medeni , Mohammed Amear Souded Ali Jan , Bourantas Christos V. , Dijkstra Jouke 
Published: March 2024

Abstract
Purpose
The assessment of vulnerable plaque characteristics and distribution is important to stratify cardiovascular risk in a patient. Computed tomography angiography (CTA) offers a promising alternative to invasive imaging but is limited by the fact that the range of Hounsfield units (HU) in lipid-rich areas overlaps with the HU range in fibrotic tissue and that the HU range of calcified plaques overlaps with the contrast within the contrast-filled lumen. This paper is to investigate whether lipid-rich and calcified plaques can be detected more accurately on cross-sectional CTA images using deep learning methodology.

Methods
Two deep learning (DL) approaches are proposed, a 2.5D Dense U-Net and 2.5D Mask-RCNN, which separately perform the cross-sectional plaque detection in the Cartesian and polar domain. The spread-out view is used to evaluate and show the prediction result of the plaque regions. The accuracy and F1-score are calculated on a lesion level for the DL and conventional plaque detection methods.

Results
For the lipid-rich plaques, the median and mean values of the F1-score calculated by the two proposed DL methods on 91 lesions were approximately 6 and 3 times higher than those of the conventional method. For the calcified plaques, the F1-score of the proposed methods was comparable to those of the conventional method. The median F1-score of the Dense U-Net-based method was 3% higher than that of the conventional method.

Conclusion
The two methods proposed in this paper contribute to finer cross-sectional predictions of lipid-rich and calcified plaques compared to studies focusing only on longitudinal prediction. The angular prediction performance of the proposed methods outperforms the convincing conventional method for lipid-rich plaque and is comparable for calcified plaque.
Empowering citizens for the energy transition: facilitating role change through real-world experiments
Authors: Trenks Helena , Bögel Paula Maria 
Published: March 2024

AbstractEmpowering citizens to take on new, more active roles is a central element in a successful energy transition. Yet, models that allow direct involvement and prosumer practices on the part of individuals are still not widely implemented. Real-world labs offer a supportive environment for citizens to experiment with new roles, allowing them to test transition processes within a protected niche. This study investigates the development of an empowering role change in the context of the real-world experiment “Your Balcony Network—Energy Creates Community”. The experiment serves as a case study to offer a better understanding of how real-world labs can support citizens toward an empowering role change that actively and positively affects the energy transition. In a mixed-method, longitudinal study, we first identify indicators of citizens’ role change in the energy transition and analyze their development in the course of the experiment’s first year. Second, we studied the role-changing process, identifying key mechanisms of change and contextual factors that accompanied and supported the role-changing process. Building on the “Embedded Agency Perspective” as our analytical framework, we applied a process perspective, empirically investigating how participants’ roles changed through taking part in the experiment. Our findings support the conclusion that real-world experiments can foster empowering role change among citizens, especially emphasizing the importance of real-world labs as places for experimentation, learning by experience, and networking. The study thus also contributes to the discourse about the impact of real-world labs.
Daytime sleepiness in patients with untreated restless legs syndrome
Authors: Eich Anna-Lena , Ottersbach Julia , Geisler Peter , Hajak Göran , Wetter Thomas C , Popp Roland F. J. 
Published: March 2024

Abstract
Background
Restless legs syndrome (RLS), a disorder characterized by an urge to move one’s legs during sleep or rest, leads to impaired sleep quality. Many patients with RLS report increased daytime sleepiness, but this has seldom been the focus of clinical research. The current study empirically investigated the prevalence and severity of daytime sleepiness in RLS.

Methods
This prospective study included 29 newly diagnosed treatment-naïve patients with RLS and 31 healthy controls and assessed standardized subjective (tiredness symptom scale [TSS], Stanford Sleepiness Scale [SSS], Epworth Sleepiness Scale [ESS]), cognitive (psychomotor vigilance task [PVT], Mackworth Clock Test [MCT]), and physiological measures (pupillary unrest index [PUI]). RLS symptom severity was assessed, and the effects of RLS on general health aspects and subjective sleep quality (Pittsburgh Sleep Quality Index) were compared to control data.

Results
Patients had moderate to severe RLS with significant negative effects on general health, quality of life, and sleep quality. Patients with RLS showed more subjective daytime sleepiness (ESS) and current sleepiness (TSS, SSS) than controls. The objective performance of patients in sustained attention tasks (P VT, MCT) was significantly worse than that of controls. Additionally, patients showed higher PUI scores.

Conclusion
In the present study, RLS was associated with markedly impaired subjective sleep quality and with subjectively and objectively increased daytime sleepiness. Since daytime sleepiness can be a major factor leading to compromised quality of life, assessing and treating sleepiness should be incorporated into standard diagnostics and treatment.
Update on Dosing and Fractionation for Neoadjuvant Radiotherapy for Localized Soft Tissue Sarcoma
Authors: Roohani Siyer , Wiltink Lisette M. , Kaul David , Spałek Mateusz Jacek , Haas Rick L. 
Published: March 2024

Opinion statementNeoadjuvant radiotherapy (RT) over 5–6 weeks with daily doses of 1.8–2.0 Gy to a total dose of 50–50.4 Gy is standard of care for localized high-grade soft tissue sarcomas (STS) of the extremities and trunk wall. One exception is myxoid liposarcomas where the phase II DOREMY trial applying a preoperative dose of 36 Gy in 2 Gy fractions (3–4 weeks treatment) has achieved excellent local control rates of 100% after a median follow-up of 25 months.Hypofractionated preoperative RT has been investigated in a number of phase II single-arm studies suggesting that daily doses of 2.75–8 Gy over 1–3 weeks can achieve similar oncological outcomes to conventional neoadjuvant RT. Prospective data with direct head-to-head comparison to conventional neoadjuvant RT investigating oncological outcomes and toxicity profiles is eagerly awaited.For the entire group of retroperitoneal sarcomas, RT is not the standard of care. The randomized multi-center STRASS trial did not find a benefit in abdominal recurrence-free survival by the addition of preoperative RT. However, for the largest histological subgroup of well-differentiated and grades I and II dedifferentiated liposarcomas, the STRASS trial and the post-hoc propensity-matched STREXIT analysis have identified a possible benefit in survival by preoperative RT. These patients deserve to be informed about the pros and cons of preoperative RT while the longer follow-up data from the STRASS trial is awaited.
On the Psychodynamics of Wearing a Headscarf Among Young Muslim Women Living in Germany—New Heterogeneous Poles of Subjectivity
Authors: Barth Lena , Wacker Kostja , Yurddas Necip , Kaiser Paul , Tuncel-Langbehn Gonca , Ruettner Barbara , Goetzmann Lutz 
Published: March 2024

AbstractThe wearing of a headscarf and the veiling especially of the female face or the whole body is a universal phenomenon that occurs in different eras and in different regions and cultures. Today, wearing a headscarf has become a symbol of Islam, especially in Western countries, and is often met with Islamophobic rejection. In our study, using a qualitative interview, we questioned 25 young Muslim women of Turkish origin (between 18 and 25 years old, n = 25) living in Germany about their reasons for wearing or not wearing a headscarf and their experiences on account of this decision. The majority (n = 16) of the predominantly academically educated female participants do not wear a headscarf, primarily for reasons of female attractiveness, an internalized religiosity, and as an expression of the disintegration of the family hierarchy. All female respondents (n = 7) from families with divorced parents do not wear headscarves, while for the other female respondents (n = 9) who do not wear headscarves, the family seems to have a more liberal mindset. Reasons for wearing a headscarf are especially a religious attachment to Islam, fashionable self-confidence, and the wish to combine Western emancipation with the traditional dress code (in the form of a hybrid identity). These findings are considered against the background of a psychoanalytic reading of the Quranic suras on veiling (according to F. Benslama) and the Lacanian dialectic of the imaginary and symbolic phallus. The diversity of personal reasons can be described with the concept of a heterogeneous subjectivity, which arises from the clash of Western secular and Turkish-Islamic notions.