bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transformative experience and the principle of informed consent in medicine
Authors: Egerton Karl , Capitelli-McMahon Helen 
Published: August 2023

AbstractThis paper explores how transformative experience generates decision-making problems of particular seriousness in medical settings. Potentially transformative experiences are especially likely to be encountered in medicine, and the associated decisions are confronted jointly by patients and clinicians in the context of an imbalance of power and expertise. However in such scenarios the principle of informed consent, which plays a central role in guiding clinicians, is unequal to the task. We detail how the principle’s assumptions about autonomy, rationality and information handle transformative experiences poorly, appealing to several difficult cases for medical decision-making to illustrate the resulting problem, and we consider how the existing literature on complications with consent fails to offer a resolution. We argue that recognition of the problem has a role to play in achieving a more effective response to transformative decisions. In Sect. 1 we introduce several representative cases of challenging patient decision-making that clinicians might face. In Sect. 2 we detail how transformative experience has been analysed in the recent literature, before outlining in Sect. 3 the theoretical basis of the principle of informed consent, which plays a central role in how clinicians are expected to support decision-making. In Sect. 4, having laid the groundwork for a clear description, we return to the cases given in Sect. 1 to confirm how their transformative nature presents a problem: either clinicians treat the decisions faced by these patients as ‘normal’, encouraging them to focus on information provision that patients may be unable to act on, or they treat them as transformative, in which case they lack the resources to recognise whether they are helping patients make (subjectively) good decisions. In Sect. 5 we argue that the existing literature does not offer any escape from this problem. We close in Sect. 6 by noting the significant impact that appreciating the problem of transformative experience could have on supporting transformative decisions in medicine and briefly suggesting how we might aim to develop new approaches to dealing with these.
A Second-Order Finite Volume Method for Field-Scale Reservoir Simulation
Authors: Kvashchuk Anna , Klöfkorn Robert , Sandve Tor Harald 
Published: August 2023

AbstractSubsurface reservoirs are large complex systems. Reservoir flow models are defined on complex grids that follow geology with relatively large block sizes to make consistent simulations feasible. Reservoir engineers rely on established reservoir simulation software to model fluid flow. Nevertheless, fluid front position inaccuracies and front smearing on large grids may cause significant errors and make it hard to predict hydrocarbon production efficiency. We investigate higher-order methods that reduce these undesired effects without refining the grid, thus making reservoir simulation more accurate and robust. For this paper, we implemented a second-order finite volume method with linear programming (LP) reconstruction in the open-source industry-grade reservoir simulator OPM Flow (part of the open porous media initiative, OPM). We benchmark it against the first-order method on full-scale cases with standard coarse and refined grids. We prepared open refined-grid models of a synthetic reservoir with an unstructured grid and refined Norne field example. Our results confirm that the LP method predicts front positions as accurately as the first-order method on the refined grid for problems dominated by transport. These include the water alternating gas scenario on the synthetic reservoir and piston-type injection on the Norne field. Moreover, we study the gains from the LP method for CO$$_{2}$$

2

injection problems on the Norne field with full multi-phase complexity beyond transport. We observe the relevant difference between the first- and the second-order methods in these cases. However, in some configurations, the reservoir complexity overshadows the gains from the second-order methods.
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields
Authors: Bideau Pia , Learned-Miller Erik , Schmid Cordelia , Alahari Karteek 
Published: August 2023

AbstractA good understanding of geometrical concepts as well as a broad familiarity with objects lead to excellent human perception of moving objects. The human ability to detect and segment moving objects works in the presence of multiple objects, complex background geometry, motion of the observer and even camouflage. How we perceive moving objects so reliably is a longstanding research question in computer vision and borrows findings from related areas such as psychology, cognitive science and physics. One approach to the problem is to teach a deep network to model all of these effects. This is in contrast with the strategy used by human vision, where cognitive processes and body design are tightly coupled and each is responsible for certain aspects of correctly identifying moving objects. Similarly, from the computer vision perspective there is evidence that classical, geometry-based techniques are better suited to the “motion-based” parts of the problem, while deep networks are more suitable for modeling appearance. In this work, we argue that the coupling of camera rotation and camera translation can create complex motion fields that are difficult for a deep network to untangle directly. We present a novel probabilistic model to estimate the camera’s rotation given the motion field. We then rectify the flow field to obtain a rotation-compensated motion field for subsequent segmentation. This strategy of first estimating camera motion, and then allowing a network to learn the remaining parts of the problem, yields improved results on the widely used DAVIS benchmark as well as the more recent motion segmentation data set MoCA (Moving Camouflaged Animals).
Influence of Various Accessories Upstream Large Water Meters
Authors: Albaina Iñigo , Bidaguren Iñigo , Izquierdo Urko , Esteban G. A. 
Published: August 2023

AbstractThe focus of this study is on large flow meters, for which there is limited information due to their large size, making testing and research challenging. This research was conducted to quantify the effects of various accessories located upstream of these meters. Even a small percentage of variation in error can correspond to a significant volume of water. Accurate meters are crucial in many applications that involve large volumes of water as precise flow measurements are necessary for smooth and efficient processes while avoiding costly errors and downtime. Inaccurate large water meters can have far-reaching implications, such as overbilling or underbilling and production inefficiencies, which result in wasted resources and energy. Furthermore, inaccurate flow measurements can lead to environmental consequences as industries must comply with strict regulations regarding wastewater discharge limits. Uncertainty about the economic impact of an accessory installed upstream of a medium-sized water meter leads many water utilities to oversize the meter chambers to mitigate potential negative errors. In this study, six types of elements were tested upstream of ten brand-new water meters from six different manufacturers, constructed using four different metering technologies: single-jet, Woltmann, electromagnetic, and ultrasonic. Each meter unit was tested at five flow rates, ranging from the minimum to overload. The tests were conducted with accessories set in different orientations and distances upstream of the water meters under study. The research shows that the accessories used can cause significant deviations in measuring errors compared to the regular errors found under undisturbed working conditions.
Anoxygenic phototrophic purple non-sulfur bacteria: tool for bioremediation of hazardous environmental pollutants
Authors: Dhar Kartik , Venkateswarlu Kadiyala , Megharaj Mallavarapu 
Published: August 2023

AbstractThe extraordinary metabolic flexibility of anoxygenic phototrophic purple non-sulfur bacteria (PNSB) has been exploited in the development of various biotechnological applications, such as wastewater treatment, biohydrogen production, improvement of soil fertility and plant growth, and recovery of high-value compounds. These versatile microorganisms can also be employed for the efficient bioremediation of hazardous inorganic and organic pollutants from contaminated environments. Certain members of PNSB, especially strains of Rhodobacter sphaeroides and Rhodopseudomonas palustris, exhibit efficient remediation of several toxic and carcinogenic heavy metals and metalloids, such as arsenic, cadmium, chromium, and lead. PNSB are also known to utilize diverse biomass-derived lignocellulosic organic compounds and xenobiotics. Although biodegradation of some substituted aromatic compounds by PNSB has been established, available information on the involvement of PNSB in the biodegradation of toxic organic pollutants is limited. In this review, we present advancements in the field of PNSB-based bioremediation of heavy metals and organic pollutants. Furthermore, we highlight that the potential role of PNSB as a promising bioremediation tool remains largely unexplored. Thus, this review emphasizes the necessity of investing extensive research efforts in the development of PNSB-based bioremediation technology.
The different roles of innovation intermediaries to generate value
Authors: Noviaristanti Siska , Acur Nuran , Mendibil Kepa 
Published: August 2023

Abstract
The development of innovation management practices toward openness, societal
grand challenges and emerging technologies have changed the roles and supporting
activities of innovation intermediaries. Innovation intermediaries are considered to be
organizations that generate value to other institutions or societies within an innovation
system. Despite the growth of innovation intermediary research in recent years, there
is still a lack of clarity about the different roles that intermediaries can play and the way
in which they generate value to the other institutions, industry and/or society. This
paper reviews current research to identify contemporary roles of innovation
intermediaries and explore the mechanisms they use to generate value. Through the
use of bibliographic coupling the paper presents a robust analysis of the intellectual
streams and key concepts underpinning innovation intermediary research. The paper
makes a contribution to the ongoing debate by proposing a framework that explains the
different roles of innovation intermediaries (knowledge broker, knowledge transfer
enabler, orchestrator, and value generator) and the functions embedded within the
roles at different levels of analysis, i.e., firm, industry, and national. The paper
concludes by discussing the theoretical and practical implications of the framework and
details key areas for future research.
Machine learning with multimodal neuroimaging data to classify stages of Alzheimer’s disease: a systematic review and meta-analysis
Authors: Odusami Modupe , Maskeliūnas Rytis , Damaševičius Robertas , Misra Sanjay 
Published: August 2023

AbstractIn recent years, Alzheimer’s disease (AD) has been a serious threat to human health. Researchers and clinicians alike encounter a significant obstacle when trying to accurately identify and classify AD stages. Several studies have shown that multimodal neuroimaging input can assist in providing valuable insights into the structural and functional changes in the brain related to AD. Machine learning (ML) algorithms can accurately categorize AD phases by identifying patterns and linkages in multimodal neuroimaging data using powerful computational methods. This study aims to assess the contribution of ML methods to the accurate classification of the stages of AD using multimodal neuroimaging data. A systematic search is carried out in IEEE Xplore, Science Direct/Elsevier, ACM DigitalLibrary, and PubMed databases with forward snowballing performed on Google Scholar. The quantitative analysis used 47 studies. The explainable analysis was performed on the classification algorithm and fusion methods used in the selected studies. The pooled sensitivity and specificity, including diagnostic efficiency, were evaluated by conducting a meta-analysis based on a bivariate model with the hierarchical summary receiver operating characteristics (ROC) curve of multimodal neuroimaging data and ML methods in the classification of AD stages. Wilcoxon signed-rank test is further used to statistically compare the accuracy scores of the existing models. With a 95% confidence interval of 78.87–87.71%, the combined sensitivity for separating participants with mild cognitive impairment (MCI) from healthy control (NC) participants was 83.77%; for separating participants with AD from NC, it was 94.60% (90.76%, 96.89%); for separating participants with progressive MCI (pMCI) from stable MCI (sMCI), it was 80.41% (74.73%, 85.06%). With a 95% confidence interval (78.87%, 87.71%), the Pooled sensitivity for distinguishing mild cognitive impairment (MCI) from healthy control (NC) participants was 83.77%, with a 95% confidence interval (90.76%, 96.89%), the Pooled sensitivity for distinguishing AD from NC was 94.60%, likewise (MCI) from healthy control (NC) participants was 83.77% progressive MCI (pMCI) from stable MCI (sMCI) was 80.41% (74.73%, 85.06%), and early MCI (EMCI) from NC was 86.63% (82.43%, 89.95%). Pooled specificity for differentiating MCI from NC was 79.16% (70.97%, 87.71%), AD from NC was 93.49% (91.60%, 94.90%), pMCI from sMCI was 81.44% (76.32%, 85.66%), and EMCI from NC was 85.68% (81.62%, 88.96%). The Wilcoxon signed rank test showed a low P-value across all the classification tasks. Multimodal neuroimaging data with ML is a promising future in classifying the stages of AD but more research is required to increase the validity of its application in clinical practice.
Biocontrol efficacy of endophytic fungus, Acremonium sclerotigenum, against Meloidogyne incognita under in vitro and in vivo conditions
Authors: Yao Yurong , Huo Jianfei , Ben Haiyan , Gao Wei , Hao Yongjuan , Wang Wanli , Xu Jingyang 
Published: August 2023

AbstractBiocontrol microorganisms are important tools for the control of root knot nematodes (Meloidogyne spp.). Endophytic fungi have shown great potential as biocontrol agents in such applications. We here isolated an endophytic fungus from tomato root galls infected with M. incognita and identified the isolate as Acremonium sclerotigenum based on morphology and the internal transcribed spacer sequence. The biocontrol potential of this fungus was evaluated both in vitro and in vivo. Specifically, in vitro analyses were conducted to determine the potential of A. sclerotigenum to increase Meloidogyne incognita juvenile (J2 stage) mortality and decrease M. incognita egg hatching rates. The results revealed that A. sclerotigenum culture filtrates caused high J2 mortality rates (up to 95.5%) and significantly inhibited egg hatching (by up to ~ 43%). Furthermore, eggs treated with the culture filtrate were disaggregated and could not develop into nematodes. An in vivo experiment showed that treatment of tomato plants with A. sclerotigenum suppressed root knot nematode populations and significantly reduced the galling index. Both A. sclerotigenum treatment and exposure to the nematicide abamectin had good control effects, with efficacy rates of 55.43% and 70.58%, respectively. In summary, the endophytic fungus A. sclerotigenum here showed excellent potential for biocontrol of M. incognita. Further studies should be conducted to identify the nematicidal compounds produced by this fungus and to establish the molecular mechanism of action associated with the observed biocontrol effects.
A Peak Set with a Maximal Hausdorff Dimension on Each Slice
Authors: Kot Piotr 
Published: August 2023

AbstractWe consider a bounded balanced strictly convex domain $$\Omega \subset {\mathbb {C}}^{d}$$

Ω
⊂

C

d

with $$C^{2}$$

C
2

boundary. Then there exists a peak set E with Hausdorff dimension equal to 1 on each slice. In particular E has maximal possible Hausdorff dimension equal to $$2d-1$$

2
d
-
1

.
Hypertension and Dyslipidemia: the Two Partners in Endothelium-Related Crime
Authors: Dąbrowska Edyta , Narkiewicz Krzysztof 
Published: August 2023

Abstract
Purpose of Review
The goal of this article is to characterize the endothelium’s role in the development of hypertension and dyslipidemia and to point out promising therapeutic directions.

Recent Findings
Dyslipidemia may facilitate the development of hypertension, whereas the collaboration of these two silent killers potentiates the risk of atherosclerosis. The common pathophysiological denominator for hypertension and dyslipidemia is endothelial cell dysfunction, which manifests as dysregulation of homeostasis, redox balance, vascular tone, inflammation, and thrombosis. Treatment focused on mediators acting in these processes might be groundbreaking. Metabolomic research on hypertension and dyslipidemia has revealed new therapeutic targets. State-of-the-art solutions integrating interview, clinical examination, innovative imaging, and omics profiles along with artificial intelligence have been already shown to improve patients’ risk stratification and treatment.

Summary
Pathomechanisms underlying hypertension and dyslipidemia take place in the endothelium. Novel approaches involving endothelial biomarkers and bioinformatics advances could open new perspectives in patient management.
Acute urticaria—what to do?
Authors: Treudler Regina , Zarnowski Julia , Wagner Nicola 
Published: August 2023

SummaryAcute urticaria (AU) is the most common cause of wheal formation. By definition, it does not persist for more than 6 weeks. It can occur at any age and is more commonly seen in atopic diathesis. Acute spontaneous urticaria is distinguished from inducible forms. This review highlights the clinical presentation, differential diagnosis, possible triggers, and therapeutic strategies. In childhood as in adulthood, viral infections are very frequently associated with acute urticaria, whereas drugs and food are less frequently described as triggers. However, it is not uncommon for multiple triggers to be present simultaneously. Therapeutically, oral nonsedating H1 antihistamines are mainly used. In some patients, concomitant short-term administration of glucocorticosteroids is also necessary.
Trimming the Degrees of Freedom via a K+ Flux Rectifier for Safe and Long-Life Potassium-Ion Batteries
Authors: Yi Xianhui , Rao Apparao M. , Zhou Jiang , Lu Bingan 
Published: August 2023

AbstractHigh degrees of freedom (DOF) for K+ movement in the electrolytes is desirable, because the resulting high ionic conductivity helps improve potassium-ion batteries, yet requiring support from highly free and flammable organic solvent molecules, seriously affecting battery safety. Here, we develop a K+ flux rectifier to trim K ion’s DOF to 1 and improve electrochemical properties. Although the ionic conductivity is compromised in the K+ flux rectifier, the overall electrochemical performance of PIBs was improved. An oxidation stability improvement from 4.0 to 5.9 V was realized, and the formation of dendrites and the dissolution of organic cathodes were inhibited. Consequently, the K||K cells continuously cycled over 3,700 h; K||Cu cells operated stably over 800 cycles with the Coulombic efficiency exceeding 99%; and K||graphite cells exhibited high-capacity retention over 74.7% after 1,500 cycles. Moreover, the 3,4,9,10-perylenetetracarboxylic diimide organic cathodes operated for more than 2,100 cycles and reached year-scale-cycling time. We fabricated a 2.18 Ah pouch cell with no significant capacity fading observed after 100 cycles.
Dual functions of a novel effector in the plant and pathogen arms race
Authors: Lu Han , Gao Mingjun 
Published: August 2023

AbstractRalstonia solanacearum is a soil-borne bacterium that causes bacterial wilt disease in over 250 plant species. It has been identified as one of the top ten most serious plant pathogenic bacteria globally, causing significant crop yield loss every year. Despite its large impact on agricultural economics, the molecular mechanisms underlying plant defense against Ralstonia infection and by which Ralstonia grows within the plant xylem remain largely unexplored. In a recent article, Ke et al. discovered a distinct pathogen effector, which acted as an immune elicitor in plants but also played dual roles in compromising plant immune activation and increasing nutrient acquisition from the host plants for pathogen propagation.
Accès à la justice et inclusion numérique : au-delà des enjeux technologiques
Authors: Prom Tep Sandrine , Millerand Florence , Parada Alexandra 
Published: August 2023

RésuméCet article s’intéresse aux inégalités numériques qui touchent l’accès aux services publics, et plus précisément à la justice. Au Québec, les plumitifs sont des registres publics qui retracent l’historique judiciaire des justiciables, et ils sont disponibles en ligne. Dans une perspective d’accès à la justice, cet article aborde la tension existante entre les objectifs de la numérisation des services publics et les inégalités d’accès au numérique, en s’intéressant au cas des plumitifs au Québec. Nous retraçons l’évolution des approches en termes d’inégalités numériques en insistant sur la nécessité de dépasser la question de l’accès matériel aux services numériques pour nous intéresser aussi aux inégalités socio-économiques préexistantes. Nous analysons les difficultés d’accès aux plumitifs et l’usage qui en sont fait à la lumière des différentes dimensions de l’accès numérique selon Jan van Dijk (2006) afin d’envisager des pistes de solutions concrètes et efficaces pour améliorer l’accès aux plumitifs et plus largement à la justice.