bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crafting Prefigurative Law in Turbulent Times: Decertification, DIY Law Reform, and the Dilemmas of Feminist Prototyping
Authors: Cooper Davina 
Published: March 2023

AbstractThis article explores the challenge of developing a feminist law reform proposal to decertify sex and gender based on research conducted for the ‘Future of Legal Gender' project. Locating the proposal to decertify within a do-it-yourself, prefigurative approach to law reform, the article asks: Can a law reform proposal be both instrumental and radical? Can a proposal take shape as a viable legislative text and as a more subversive intervention to unsettle and reimagine gender’s relationship to law? This article explores this at two levels. First, it considers the ontological challenges of developing a controversial law reform proposal in terms of its realness (or fictiveness), contours, and temporality, turning to ‘slow law' as a credible way of approaching radical reform. Second, it explores the design-based challenges of legal prototyping—foregrounding questions of legitimacy, participation, and purpose, which arise in designing a decertification law. At the heart of this discussion is the relationship between representation and enactment—between what a proposal presents and what its presentation does and does not accomplish.
Functional epiphora: an under-reported entity
Authors: Usmani Eiman , Shapira Yinon , Selva Dinesh 
Published: March 2023

Abstract
Purpose
To determine the etiology of epiphora in a tertiary Australian lacrimal clinic and highlight the high proportion of ‘functional’ cases.

Methods
Single-center retrospective review: Records of adult patients presenting to a tertiary lacrimal clinic from January 2011 to February 2021 with epiphora were reviewed. Patients underwent testing with syringing/probing and lacrimal imaging to reach a diagnosis of functional epiphora. Functional epiphora was diagnosed based on the exclusion of alternate causes of epiphora on clinical examination, patent lacrimal syringing, normal dacryocystography, and delay on dacryoscintigraphy.

Results
Five hundred and seventy-six symptomatic eyes of 372 adult patients (mean 66.2 ± 15.5 years, 63.4% females) with epiphora were evaluated for causes. Post-sac obstruction (stenosis/complete obstruction) and functional epiphora (non-anatomical delay) were the most common causes of presentations to the lacrimal clinic (26% each). Functional epiphora with post-sac delay was substantially more common than functional epiphora with pre-sac delay (89% vs. 11% of functional epiphora cases). In 16% of the cases, no cause for the epiphora was found while more than one cause (multifactorial) was present 11% of the time.

Conclusion
Functional epiphora was found to be as common as a nasolacrimal anatomical obstruction when lacrimal imaging is utilized.
Otto Neurath’s Scientific Utopianism Revisited-A Refined Model for Utopias in Thought Experiments
Authors: Linsbichler Alexander , da Cunha Ivan Ferreira 
Published: March 2023

AbstractOtto Neurath’s empiricist methodology of economics and his contributions to political economy have gained increasing attention in recent years. We connect this research with contemporary debates regarding the epistemological status of thought experiments by reconstructing Neurath’s utopias as linchpins of thought experiments. In our three reconstructed examples of different uses of utopias/dystopias in thought experiments we employ a reformulation of Häggqvist’s model for thought experiments and we argue that: (1) Our reformulation of Häggqvist’s model more adequately complies with many uses of thought experiments, especially with the open-ended discussions of utopias and dystopias in thought experiments. (2) As a strict logical empiricist, Neurath is committed to a strictly empiricist account of thought experiments. John Norton’s empiricist argument view can indeed account for the justifications of empirical beliefs and genuine discoveries targeted by scientific utopianism in three distinct (yet connected) ways, all of which Neurath already contemplated: (2.I) Dealing with utopias and thought experiments on a regular basis increases creativity and inventiveness. (2.II) Particular ways of presenting knowledge facilitate scientific discovery and social progress. (2.III) The use of utopias in thought experiments can prompt conceptual change and allow access to new phenomena. We conclude by highlighting that, even though thought experiments support a positive attitude for exploring new social possibilities, Neurath points out that active decisions are unavoidable. The exploration of alternatives and the awareness of a need for decisions in policy discussion avert a technocratic outlook in social science.
A molecular dynamics study of water confined in between two graphene sheets under compression
Authors: Tseng Ming-Lang , Adesiyan Ayomide , Gassoumi Abdelaziz , Gorji Nima E. 
Published: March 2023

Abstract Several studies have demonstrated interest in creating surfaces with improved water interaction and adaptive properties because the behavior of water confined at the nanoscale plays a significant role in the synthesis of materials for technological applications. Remarkably, confinement at the nanoscale significantly modifies the characteristics of water. We determine the phase diagram of water contained by graphene stack sheets in slab form, at $$T = 300$$

T
=
300

K, and for a constant pressure using molecular dynamics simulations. We discover that, as shown in the simulation, water can exist in both the liquid and vapor phases depending on the confining geometry and compressibility ratio. We also pay attention to how stable the interacting liquid is in relation to the pressure of compression that is perpendicular to the graphene sheets. To build this system and analyze its surface interface properties, we also used analytical and electronic scale modeling approaches. The impact of nanoconfinement on internal pressure may be seen in water, and this can be used to create interfacial materials for the creation of environmentally friendly solar cell materials. Our research highlights the intricate, seemingly random behavior of nanoconfined water—behavior that is difficult for graphene to understand. The results obtained offer crucial direction for system design and configuration of materials at the graphene/water interface that can be utilized as a benchmark for other future designs.
A simplified protocol for Agrobacterium-mediated transformation of cell suspension cultures of the model species Medicago truncatula A17
Authors: Ferreira Ana Clara , Rebelo Bárbara A. , Abranches Rita 
Published: March 2023

AbstractThis manuscript describes a unique protocol for the rapid transformation of Medicago truncatula A17 cell suspension cultures mediated by Agrobacterium tumefaciens. Medicago cells were collected on day 7 of the growth curve, which corresponded to the beginning of the exponential phase. They were then co-cultured with Agrobacterium for 3 days before being spread onto a petri dish with appropriate antibiotic selection. The Receptor Binding Domain of the Spike protein of SARS-CoV-2 was used as a model to develop this protocol. The presence of the transgene was assessed using PCR, and the integrity of the product was evaluated by SDS-PAGE and Western-blotting.
Timing Performance Benchmarking of Out-of-Distribution Detection Algorithms
Authors: Luan Siyu , Gu Zonghua , Saremi Amin , Freidovich Leonid , Jiang Lili , Wan Shaohua 
Published: March 2023

AbstractIn an open world with a long-tail distribution of input samples, Deep Neural Networks (DNNs) may make unpredictable mistakes for Out-of-Distribution (OOD) inputs at test time, despite high levels of accuracy obtained during model training. OOD detection can be an effective runtime assurance mechanism for safe deployment of machine learning algorithms in safety–critical applications such as medical imaging and autonomous driving. A large number of OOD detection algorithms have been proposed in recent years, with a wide range of performance metrics in terms of accuracy and execution time. For real-time safety–critical applications, e.g., autonomous driving, timing performance is of great importance in addition to accuracy. We perform a comprehensive and systematic benchmark study of multiple OOD detection algorithms in terms of both accuracy and execution time on different hardware platforms, including a powerful workstation and a resource-constrained embedded device, equipped with both CPU and GPU. We also profile and analyze the internal details of each algorithm to identify the performance bottlenecks and potential for GPU acceleration. This paper aims to provide a useful reference for the practical deployment of OOD detection algorithms for real-time safety–critical applications.
Disentangling the practice of landscape approaches: a Q-method analysis on experiences in socio-ecological production landscapes and seascapes
Authors: Torralba Mario , Nishi Maiko , Cebrián-Piqueras Miguel A. , Quintas-Soriano Cristina , García-Martín María , Plieninger Tobias 
Published: March 2023

AbstractLandscape approaches are gaining momentum in both scientific and policy agendas. However, landscape approaches comprise a multitude of concepts, approaches and principles, which are in part similar, in some parts different or even contradictory. In this paper, we used a Q-method questionnaire to explore how landscape approaches are understood and employed in 45 case studies of socio-ecological production landscapes and seascapes derived from the International Partnership for the Satoyama Initiative (IPSI), as well as the motivations for employing them. Our analysis revealed that all landscape approaches pursued very similar goals, namely to ensure that local communities as landscape stewards have the capacity to preserve context-specific values in the face of socio-economic and environmental changes. The tools for reaching such goals are built upon people and nature feedback dynamics that crystalize in rich biodiversity and local ecological knowledge. However, our analysis also showed that the means to reach those goals differed depending on many contextual factors, such as the dominant ecosystems and socio-economic activities in the landscape, the constellation of actors or the most relevant drivers of change affecting the social–ecological system. In particular, we identified four distinct lenses in which landscapes approaches are applied in practice to landscape sustainability: (1) for the preservation of natural values, (2) for the preservation of socio-cultural values, (3) for the promotion of social justice and participatory governance, and (4) for securing food security and local livelihoods. Our results showed an association between the choice of a lens and the value types motivating the use of a landscape approach. Relational values were associated with a focus on landscape conservation and safeguard of social–ecological values. Our study highlights the relevant and beneficial role of landscape approaches as a boundary concept and emphasizes the need for transdisciplinary and participatory methods within landscape research and practice to navigate the context-specific options for implementation of landscape approaches.
Path dependence in an evolving system: a modeling perspective
Authors: Brenner Thomas , zu Jeddeloh Sonja 
Published: March 2023

AbstractIn recent years, path dependence has gained increasing scientific attention in many disciplines, leading to various new concepts and notations, such as path creation or path plasticity. However, if mathematical arguments are used, they are based on the early works by Brian W. Arthur and Paul A. David, usually referring to the mathematical concept of ergodicity. We extend their mathematical framework and develop a graphical representation of systems that allows for a metaphorical discussion of system behaviors beyond the original cases, especially in evolving systems, and the inclusion of the recently developed concepts within path dependence. Visualizations are used to explain the definition and characteristics of seven types of path dependence: lock-in, path-breaking, path-furrowing, path plasticity, path formation, path creation, and path selection. Although these visualizations are explained verbally and can be understood without a mathematical expertise, a mathematical model is used to generate them. The deduction of the metaphorical concept from a mathematical model guarantees the completeness of the identified processes and the rigor in their categorization as well as the identification of respective characteristics for their distinction. However, the aim of the paper is to provide an illustrative concept that allows researchers to classify and structure the various path-dependent processes they observe in their application. While five of the identified processes are in line with concepts from the literature and are defined accordingly, we also detect a sixth process that is new to the literature so far: path-furrowing. Moreover, slightly deviating from the literature, we define path selection as the possibility to choose a path intentionally, thereby focusing on the mindful choice of options.
Analysis of Network Models with Neuron-Astrocyte Interactions
Authors: Manninen Tiina , Aćimović Jugoslava , Linne Marja-Leena 
Published: March 2023

AbstractNeural networks, composed of many neurons and governed by complex interactions between them, are a widely accepted formalism for modeling and exploring global dynamics and emergent properties in brain systems. In the past decades, experimental evidence of computationally relevant neuron-astrocyte interactions, as well as the astrocytic modulation of global neural dynamics, have accumulated. These findings motivated advances in computational glioscience and inspired several models integrating mechanisms of neuron-astrocyte interactions into the standard neural network formalism. These models were developed to study, for example, synchronization, information transfer, synaptic plasticity, and hyperexcitability, as well as classification tasks and hardware implementations. We here focus on network models of at least two neurons interacting bidirectionally with at least two astrocytes that include explicitly modeled astrocytic calcium dynamics. In this study, we analyze the evolution of these models and the biophysical, biochemical, cellular, and network mechanisms used to construct them. Based on our analysis, we propose how to systematically describe and categorize interaction schemes between cells in neuron-astrocyte networks. We additionally study the models in view of the existing experimental data and present future perspectives. Our analysis is an important first step towards understanding astrocytic contribution to brain functions. However, more advances are needed to collect comprehensive data about astrocyte morphology and physiology in vivo and to better integrate them in data-driven computational models. Broadening the discussion about theoretical approaches and expanding the computational tools is necessary to better understand astrocytes’ roles in brain functions.
Business Strategy as Human Rights Risk: the Case of Private Equity
Authors: Birchall David , Bernaz Nadia 
Published: March 2023

AbstractIn this article, we apply the UN Guiding Principles on Business and Human Rights to the private equity (PE) business model. PE firms often adopt a controversial, ‘value extractive’, business model based on high debt and extreme cost-cutting to generate investor returns. PE firms own large numbers of companies, including in many rights-related sectors. The model is linked to increased human rights risks to workers, housing tenants, and in privatized health and social care. We map these risks and analyse the human rights responsibilities of PE firms. Our analysis has major implications for understandings of human rights responsibility. We argue that value extractive methods are the root cause of eventual harm to human rights, even though they may not harm rights directly. To respect human rights, PE firms must mitigate the risks of these value extractive methods. We define how human rights due diligence (HRDD) could achieve this and argue that given the extent of harm and the lack of a business case for adopting such a view of human rights responsibility, business strategy level HRDD should be a core component of forthcoming HRDD laws.
Maximal Operator, Cotlar’s Inequality and Pointwise Convergence for Singular Integral Operators in Dunkl Setting
Authors: Tan Chaoqiang , Han Yongsheng , Li Ji 
Published: March 2023

AbstractWe establish the maximal operator, Cotlar’s inequality and pointwise convergence in the Dunkl setting for the (nonconvolution type) Dunkl–Calderón–Zygmund operators introduced recently in Tan et al. (https://arxiv.org/abs/2204.01886). The fundamental geometry of the Dunkl setting involves two nonequivalent metrics: the Euclidean metric and the Dunkl metric deduced by finite reflection groups, and hence the classical methods do not apply directly. The key idea is to introduce truncated singular integrals and the maximal singular integrals by the Dunkl metric and the Euclidean metric. We show that these two kind of truncated singular integrals are dominated by the Hardy–Littlewood maximal function, which yields the Cotlar’s inequalities and hence the boundedness of maximal Dunkl–Calderón–Zygmund operators. Further, as applications, two equivalent pointwise convergences for Dunkl–Calderón–Zygmund operators are obtained.
Regulation of NOX/p38 MAPK/PPARα pathways and miR-155 expression by boswellic acids reduces hepatic injury in experimentally-induced alcoholic liver disease mouse model: novel mechanistic insight
Authors: Salama Rania M. , Abbas Samah S. , Darwish Samar F. , Sallam Al Aliaa , Elmongy Noura F. , El Wakeel Sara A. 
Published: March 2023

AbstractAlcoholic liver disease (ALD) refers to hepatic ailments induced by excessive alcohol intake. The pathogenesis of ALD comprises a complex interplay between various mechanistic pathways, among which inflammation and oxidative stress are key players. Boswellic acids (BAs), found in Boswellia serrata, have shown hepatoprotective effects owing to their antioxidant and anti-inflammatory activities, nevertheless, their therapeutic potential against ALD has not been previously investigated. Hence, this study was performed to depict the possible protective effect of BAs and detect their underlying mechanism of action in an experimentally-induced ALD mouse model. Male BALB/c mice were equally categorized into six groups: control, BAs-treated, ALD, and ALD that received BAs at three-dose levels (125, 250, and 500 mg/kg) by oral gavage for 14 days. Results showed that the high dose of BAs had the most protective impact against ALD according to histopathology examination, blood alcohol concentration (BAC), and liver function enzymes. Mechanistic investigations revealed that BAs (500 mg/kg) caused a significant decrease in cytochrome P450 2E1(CYP2E1), nicotine adenine dinucleotide phosphate oxidase (NOX) 1/2/4, p38 mitogen-activated protein kinase (MAPK), and sterol regulatory element-binding protein-1c (SREBP-1c) levels, and the expression of miR-155, yet increased peroxisome proliferator-activated receptor alpha (PPARα) levels. This led to an improvement in lipid profile and reduced hepatic inflammation, oxidative stress, and apoptosis indices. In summary, our study concludes that BAs can protect against ethanol-induced hepatic injury, via modulating NOX/p38 MAPK/PPARα pathways and miR-155 expression.
Specialized palliative care for hospitalized patients with SARS-CoV-2 infection: an analysis of the LEOSS registry
Authors: Schmidt-Hellerau Kirsten , Raichle Claudia , Ruethrich Maria M. , Vehreschild Jörg J. , Lanznaster Julia , Nunes de Miranda Susana M. , Bausewein Claudia , Vehreschild Maria J. G. T. , Koll Carolin E. M. , Simon Steffen T. , Hellwig Kerstin , Jensen Björn-Erik O. , Jung Norma ,   LEOSS Study Group, Jensen Björn-Erik O. , Ruethrich Maria Madeleine , Lanznaster Julia , Vehreschild Maria J. G. T. , Hellwig Kerstin , Spinner Christoph , Hanses Frank , Hohmann Christian , Westhoff Timm , Borgmann Stefan , Wille Kai , Rupp Jan , vom Dahl Juergen , Degenhardt Christian , Hower Martin , Roemmele Christoph , Isberner Nora , Eberwein Lukas , Rothfuss Katja , Voigt Ingo , Ruethrich Maria Madeleine , Walter Lorenz , Markart Philipp , Trauth Janina , Deniz Secil , Jung Norma , Beutel Gernot , Milovanovic Milena , Akova Murat , Göpel Siri , Raichle Claudia , Roeseler Stefani , Wojtecki Lars , Neufang Mark , Schubert Joerg 
Published: March 2023

Abstract
Purpose
Symptom control for patients who were severely ill or dying from COVID-19 was paramount while resources were strained and infection control measures were in place. We aimed to describe the characteristics of SARS-CoV-2 infected patients who received specialized palliative care (SPC) and the type of SPC provided in a larger cohort.

Methods
From the multi-centre cohort study Lean European Open Survey on SARS-CoV-2 infected patients (LEOSS), data of patients hospitalized with SARS-CoV-2 infection documented between July 2020 and October 2021 were analysed.

Results
273/7292 patients (3.7%) received SPC. Those receiving SPC were older and suffered more often from comorbidities, but 59% presented with an estimated life expectancy > 1 year. Main symptoms were dyspnoea, delirium, and excessive tiredness. 224/273 patients (82%) died during the hospital stay compared to 789/7019 (11%) without SPC. Symptom control was provided most common (223/273; 95%), followed by family and psychological support (50% resp. 43%). Personal contact with friends or relatives before or during the dying phase was more often documented in patients receiving SPC compared to patients without SPC (52% vs. 30%).

Conclusion
In 3.7% of SARS-CoV-2 infected hospitalized patients, the burden of the acute infection triggered palliative care involvement. Besides complex symptom management, SPC professionals also focused on psychosocial and family issues and aimed to enable personal contacts of dying patients with their family. The data underpin the need for further involvement of SPC in SARS-CoV-2 infected patients but also in other severe chronic infectious diseases.
Football Player Injury Full-Cycle Management and Monitoring System Based on Blockchain and Machine Learning Algorithm
Authors: Pu Chunwang , Zhou Jun , Sun Jian , Zhang Jianpeng 
Published: March 2023

AbstractFootball injuries are the most common factor affecting a football player's performance, and the last thing a football player wants. To understand the causes of football players’ injuries and how to recover sports injuries most efficiently, the football players’ injuries were managed and monitored throughout the whole cycle. However, the traditional football player injury cycle management and monitoring system are not only insecure in data storage, but more importantly, it lacks intelligent analysis of the collected data. With the continuous development of blockchain and machine learning technologies, blockchain technology is used to collect, store, clean, mine and visualize the full-cycle data of football players' injuries, and machine learning is used to provide intelligent solutions for football players' injury recovery. This paper compared the football player's injury full-cycle management and monitoring system based on blockchain and machine learning algorithm with the traditional football player's injury management and monitoring system. The experimental results showed that the average self-processing capacity of the football player injury MMS based on blockchain and ML algorithm was 70%, while the average self-processing capacity of the traditional football player injury management and monitoring system was 50%. Therefore, the application of blockchain and machine learning algorithm in the football player’s injury full-cycle management and monitoring system can effectively improve the system’s self-processing ability.