bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of stability regions for a line distribution network with stochastic load demands
Authors: Christianen M. H. M. , Cruise J. , Janssen A. J. E. M. , Shneer S. , Vlasiou M. , Zwart B. 
Published: March 2023

AbstractWe compare stability regions for different power flow models in the process of charging electric vehicles (EVs) by considering their random arrivals, their stochastic demand for energy at charging stations, and the characteristics of the electricity distribution network. We assume the distribution network is a line with charging stations located on it. We consider theDistflowand theLinearized Distflowmodels, and we assume that EVs have an exponential charging requirement, that voltage drops on the distribution network stay under control, and that the number of charging stationsNgoes to infinity. We investigate the stability of utility-optimizing power allocations in large distribution networks for both power flow models by controlling the arrival rate of EVs to charging stations. For both power flow models, we show that, to obtain stability, the maximum feasible arrival rate, i.e., stability region of vehicles, is decaying as$$1/N^2$$1/N2, and the difference between those arrival rates is up to constants, which we compare explicitly.
Internalist priorities in a philosophy of words
Authors: Collins John 
Published: March 2023

AbstractWords appear to be denizens of the external world or, at any rate, not wholly mental, unlike our pains. It is the norm for philosophical accounts of words to reflect this appearance by offering various socio-cultural conditions to which an adequate account of wordhood must cleave. The paper argues, to the contrary, that an adequate account of word phenomena need avert to nothing other than individual psychology along with potential external factors that in-themselves do not count as linguistic. My principal leverage will be that, by everyone’s lights, whatever words are, they are syntactically combinable and possess structural properties. But such conditions cannot be externally realised; instead, they are aspects of our internally realised cognitive capacity. It will also be argued, however, that the position is consistent with much of our common lore about words, albeit sans an externalist linguistic ontology.
Clinical impact of high platelet reactivity in patients with atrial fibrillation and concomitant percutaneous coronary intervention on dual or triple antithrombotic therapy
Authors: Berteotti M. , Gori A. M. , Giusti B. , Fortini A. , Grossi G. , Ciardetti N. , Migliorini A. , Lotti E. , Valenti R. , Di Mario C. , Marchionni N. , Marcucci R. 
Published: March 2023

AbstractHigh platelet reactivity (HPR) on clopidogrel is an established thrombotic risk factor after percutaneous coronary intervention (PCI). The introduction of more potent antiplatelet drugs has partially surpassed this issue. However, in the setting of concomitant atrial fibrillation (AF) and PCI clopidogrel is still the most adopted P2Y12 inhibitor. In the present study all consecutive patients with history of AF discharged from our cardiology ward with dual (DAT) or triple (TAT) antithrombotic therapy after a PCI from April 2018 to March 2021 were enrolled in an observational registry. For all subjects, blood serum samples were collected and tested for platelet reactivity by arachidonic acid and ADP (VerifyNow system) and genotyping of the CYP2C19*2 loss-of-function polymorphism. We recorded at 3 and 12-months follow-up: (1) major adverse cardiac and cerebrovascular events (MACCE), (2) major hemorrhagic or clinically relevant non-major bleeding and (3) all-cause mortality. A total of 147 patients were included (91, 62% on TAT). In 93.4% of patients, clopidogrel was chosen as P2Y12 inhibitor. P2Y12 dependent HPR resulted an independent predictor of MACCE both at 3 and 12 months (HR 2.93, 95% C.I. 1.03 to 7.56, p = 0.027 and HR 1.67, 95% C.I. 1.20 to 2.34, p = 0.003, respectively). At 3-months follow-up the presence of CYP2C19*2 polymorphism was independently associated with MACCE (HR 5.21, 95% C.I. 1.03 to 26.28, p = 0.045). In conclusion, in a real-world unselected population on TAT or DAT, the entity of platelet inhibition on P2Y12 inhibitor is a potent predictor of thrombotic risk, suggesting the clinical utility of this laboratory evaluation for a tailored antithrombotic therapy in this high-risk clinical scenario.

Graphical abstract
The present analysis was performed in patients with AF undergoing PCI on dual or triple antithrombotic therapy. At 1 year follow-up MACCE incidence was consistent, and it was not different in different antithrombotic pattern groups. P2Y12 dependent HPR was a potent independent predictor of MACCE both at 3- and 12-months follow-up. In the first 3 months after stenting the carriage of CYP2C19*2 allele was similarly associated with MACCE. Abbreviation: DAT, dual antithrombotic therapy; HPR, high platelet reactivity; MACCE, major adverse cardiac and cerebrovascular events; PRU, P2Y12 reactive unit; TAT, triple antithrombotic therapy. Created with BioRender.com.
Regulatory and policy considerations for the implementation of gene drive-modified mosquitoes to prevent malaria transmission
Authors: James Stephanie L. , Dass Brinda , Quemada Hector 
Published: March 2023

AbstractGene drive-modified mosquitoes (GDMMs) are being developed as possible new tools to prevent transmission of malaria and other mosquito-borne diseases. To date no GDMMs have yet undergone field testing. This early stage is an opportune time for developers, supporters, and possible users to begin to consider the potential regulatory requirements for eventual implementation of these technologies in national or regional public health programs, especially as some of the practical implications of these requirements may take considerable planning, time and coordination to address. Several currently unresolved regulatory questions pertinent to the implementation of GDMMs are examined, including: how the product will be defined; what the registration/approval process will be for placing new GDMM products on the market; how the potential for transboundary movement of GDMMs can be addressed; and what role might be played by existing multinational bodies and agreements in authorization decisions. Regulation and policies applied for registration of other genetically modified organisms or other living mosquito products are assessed for relevance to the use case of GDMMs to prevent malaria in Africa. Multiple national authorities are likely to be involved in decision-making, according to existing laws in place within each country for certain product classes. Requirements under the Cartagena Protocol on Biodiversity will be considered relevant in most countries, as may existing regulatory frameworks for conventional pesticide, medical, and biocontrol products. Experience suggests that standard regulatory processes, evidence requirements, and liability laws differ from country to country. Regional mechanisms will be useful to address some of the important challenges.
Adaptive servo-ventilation and mortality in patients with systolic heart failure and central sleep apnea: a single-center experience
Authors: Sun Paulina , Porter Kyle , Randerath Winfried , Jarjoura David , Khayat Rami 
Published: March 2023

Abstract
Background
Central sleep apnea (CSA) is associated with increased mortality and morbidity in patients with heart failure with reduced ejection fraction (HFrEF). Treatment of CSA with a certain type of adaptive servo-ventilation (ASV) device that targets minute ventilation (ASVmv) was found to be harmful in these patients. A newer generation of ASV devices that target peak flow (ASVpf) is presumed to have different effects on ventilation and airway patency. We analyzed our registry of patients with HFrEF-CSA to examine the effect of exposure to ASV and role of each type of ASV device on mortality.

Methods
This is a retrospective cohort study in patients with HFrEF and CSA who were treated with ASV devices between 2008 and 2015 at a single institution. Mortality data were collected through the institutional data honest broker. Usage data were obtained from vendors’ and manufacturers’ servers. Median follow-up was 64 months.

Results
The registry included 90 patients with HFrEF-CSA who were prescribed ASV devices. Applying a 3-h-per-night usage cutoff, we found a survival advantage at 64 months for those who used the ASV device above the cutoff (n = 59; survival 76%) compared to those who did not (n = 31; survival 49%; hazard ratio 0.44; CI 95%, 0.20 to 0.97; P = 0.04). The majority (n = 77) of patients received ASVpf devices with automatically adjusting end-expiratory pressure (EPAP) and the remainder (n = 13) received ASVmv devices mostly with fixed EPAP (n = 12). There was a trend towards a negative correlation between ASVmv with fixed EPAP and survival.

Conclusion
In this population of patients with HFrEF and CSA, there was no evidence that usage of ASV devices was associated with increased mortality. However, there was evidence of differential effects of type of ASV technology on mortality.
Coupling ANFIS with ant colony optimization (ACO) algorithm for 1-, 2-, and 3-days ahead forecasting of daily streamflow, a case study in Poland
Authors: Aghelpour Pouya , Graf Renata , Tomaszewski Edmund 
Published: March 2023

AbstractFinding an efficient and reliable streamflow forecasting model has always been an important challenge for managers and planners of freshwater resources. The current study, based on an adaptive neuro-fuzzy inference system (ANFIS) model, was designed to predict the Warta river (Poland) streamflow for 1 day, 2 days, and 3 days ahead for a data set from the period of 1993–2013. The ANFIS was additionally combined with the ant colony optimization (ACO) algorithm and employed as a meta-heuristic ANFIS-ACO model, which is a novelty in streamflow prediction studies. The investigations showed that on a daily scale, precipitation had a very weak and insignificant effect on the river’s flow variation, so it was not considered as a predictor input. The predictor inputs were selected by the autocorrelation function from among the daily streamflow time lags for all stations. The predictions were evaluated with the actual streamflow data, using such criteria as root mean square error (RMSE), normalized RMSE (NRMSE), and R2. According to the NRMSE values, which ranged between 0.016–0.006, 0.030–0.013, and 0.038–0.020 for the 1-day, 2-day, and 3-day lead times, respectively, all predictions were classified as excellent in terms of accuracy (prediction quality). The best RMSE value was 1.551 m3/s and the highest R2 value was equal to 0.998, forecast for 1-day lead time. The combination of ANFIS with the ACO algorithm enabled to significantly improve streamflow prediction. The use of this coupling can averagely increase the prediction accuracies of ANFIS by 12.1%, 12.91%, and 13.66%, for 1-day, 2-day, and 3-day lead times, respectively. The current satisfactory results suggest that the employed hybrid approach could be successfully applied for daily streamflow prediction in other catchment areas.
New Work oder Die Dimensionen des Organisierens
Authors: Bachmann Thomas , Jung Jenny 
Published: March 2023

ZusammenfassungIm folgenden Beitrag werden die Veränderungen der Arbeitswelt durch die New Work-Bewegung aus einer gruppendynamischen Perspektive untersucht. Dazu werden auf den Dimensionen Hierarchie, Zugehörigkeit und Intimität, Vorteile und Folgen der Veränderungen durch New Work sowohl aus der Personensicht als auch aus der Perspektive der Organisation aufgezeigt und anhand von Fallbeispielen illustriert.
Quantum Permutation Matrices
Authors: Weber Moritz 
Published: March 2023

AbstractQuantum permutations arise in many aspects of modern “quantum mathematics”. However, the aim of this article is to detach these objects from their context and to give a friendly introduction purely within operator theory. We define quantum permutation matrices as matrices whose entries are operators on Hilbert spaces; they obey certain assumptions generalizing classical permutation matrices. We give a number of examples and we list many open problems. We then put them back in their original context and give an overview of their use in several branches of mathematics, such as quantum groups, quantum information theory, graph theory and free probability theory.
The impact of coal trains on PM2.5 in the San Francisco Bay area
Authors: Ostro Bart , Spada Nicholas , Kuiper Heather 
Published: March 2023

AbstractExposure to fine particulate matter (PM2.5) is associated with adverse health effects, including mortality, even at low concentrations. Rail conveyance of coal, accounting for one-third of American rail freight tonnage, is a source of PM2.5. However, there are limited studies of its contribution to PM2.5, especially in urban settings where residents experience higher exposure and vulnerability to air pollution. We developed a novel artificial intelligence-driven monitoring system to quantify average and maximum PM2.5 concentrations of full and empty (unloaded) coal trains compared to freight and passenger trains. The monitor was close to the train tracks in Richmond, California, a city with a racially diverse population of 115,000 and high rates of asthma and heart disease. We used multiple linear regression models controlling for diurnal patterns and meteorology. The results indicate coal trains add on average 8.32 µg/m3 (95% CI = 6.37, 10.28; p < 0.01) to ambient PM2.5, while sensitivity analysis produced midpoints ranging from 5 to 12 µg/m3. Coal trains contributed 2 to 3 µg/m3 more of PM2.5 than freight trains, and 7 µg/m3 more under calm wind conditions, suggesting our study underestimates emissions and subsequent concentrations of coal train dust. Empty coal cars tended to add 2 µg/m3. Regarding peak concentrations of PM2.5, our models suggest an increase of 17.4 µg/m3 (95% CI = 6.2, 28.5; p < 0.01) from coal trains, about 3 µg/m3 more than freight trains. Given rail shipment of coal occurs globally, including in populous areas, it is likely to have adverse effects on health and environmental justice.
A Review of RRx-001: A Late-Stage Multi-Indication Inhibitor of NLRP3 Activation and Chronic Inflammation
Authors: Jayabalan Nanthini , Oronsky Bryan , Cabrales Pedro , Reid Tony , Caroen Scott , Johnson Aishwarya M. , Birch Natalia A. , O’Sullivan John D. , Gordon Richard 
Published: March 2023

AbstractChronic unresolving inflammation is emerging as a key underlying pathological feature of many if not most diseases ranging from autoimmune conditions to cardiometabolic and neurological disorders. Dysregulated immune and inflammasome activation is thought to be the central driver of unresolving inflammation, which in some ways provides a unified theory of disease pathology and progression. Inflammasomes are a group of large cytosolic protein complexes that, in response to infection- or stress-associated stimuli, oligomerize and assemble to generate a platform for driving inflammation. This occurs through proteolytic activation of caspase-1-mediated inflammatory responses, including cleavage and secretion of the proinflammatory cytokines interleukin (IL)-1β and IL-18, and initiation of pyroptosis, an inflammatory form of cell death. Several inflammasomes have been characterized. The most well-studied is the nucleotide-binding domain (NOD)-like receptor protein 3 (NLRP3) inflammasome, so named because the NLRP3 protein in the complex, which is primarily present in immune and inflammatory cells following activation by inflammatory stimuli, belongs to the family of nucleotide-binding and oligomerization domain (Nod) receptor proteins. Several NLRP3 inflammasome inhibitors are in development, all with multi-indication activity. This review discusses the current status, known mechanisms of action, and disease-modifying therapeutic potential of RRx-001, a direct NLRP3 inflammasome inhibitor under investigation in several late-stage anticancer clinical trials, including a phase 3 trial for the treatment of third-line and beyond small cell lung cancer (SCLC), an indication with no treatment, in which RRx-001 is combined with reintroduced chemotherapy from the first line, carboplatin/cisplatin and etoposide (ClinicalTrials.gov Identifier: NCT03699956). Studies from multiple independent groups have now confirmed that RRx-001 is safe and well tolerated in humans. Additionally, emerging evidence in preclinical animal models suggests that RRx-001 could be effective in a wide range of diseases where immune and inflammasome activation drives disease pathology.
Maritime Rule of Law: Some Preliminaries
Authors: Sevel Michael 
Published: March 2023

AbstractCan there be rule of law at sea? In extending the traditionally terrene ideal seaward, there are a range of conceptual difficulties. These difficulties are outlined, and a recurring thought pattern is set out that is found in the traditions of thought about the rule of law as protecting members of a community from the abuse of power. Drawing on Jeremy Bentham’s scattered remarks about maritime governance, three assumptions underlying this thought pattern, regarding territoriality, community, and protective function, are identified as requiring modification in the maritime context. Achievement of the rule of law at sea is possible, but reflects a number of limitations as compared to its terrene counterpart, limitations related to these three traditional assumptions.
Covid-19 Measures in Switzerland—Considerations from a Practice Perspective
Authors: Jagmetti Luca 
Published: March 2023

AbstractThis paper offers some observations from a practitioner perspective on Swiss measures to support businesses during the Covid-19 pandemic, as a complement to the paper ‘Governmental measures in Switzerland against mass bankruptcies during the Covid-19 pandemic’ by Rodriguez and Ulli in this volume. A brief overview of the main fiscal and non-fiscal measures is followed by analysis of the reasons for non-use of a major non-fiscal measure (a new moratorium), and some suggestions as to the lessons that can be learned from this for the design of analogous relief policies in future crises.
Wood-based 3D printing: potential and limitation to 3D print building elements with cellulose & lignin
Authors: Bierach Christopher , Coelho Alexsander Alberts , Turrin Michela , Asut Serdar , Knaack Ulrich 
Published: March 2023

AbstractUnder urgent sustainability targets, the building industry craves for renewable and recyclable biomaterials as cellulose is a fiber; Lignin is a plant-derived low-cost polymer with remarkable properties, yet its valorization is in its infancy. Recent studies have shown potentials to combine cellulose and lignin into a renewable bio-based material for the built environment, with the use of additive manufacturing to allow geometric customization and local control of material. However, previous studies also highlighted crucial issues to be solved. One main challenge is the lack of knowledge on combinations of lignin and cellulose with different binders to achieve a paste suitable for 3D printing, leading to a material applicable in the built environment. To contribute overcoming the challenge, this research aimed to explore various combinations of cellulose, lignin, and binders and to study the extrudability of the resulting paste using a clay extruder installed on a robotic arm. Several combinations were explored, evaluated, and compared. The four recipes with the highest scores were used to produce samples for tensile and three-point bending tests, water absorption and retention tests, and microscope analysis. The overall outcome has shown similarities between the mechanical properties of the mixture developed using methylcellulose as the binding agent and rigid polymer foams, such as the ones commonly used as insulation panels. Moreover, the material mix with the highest score in the preliminary assessment was further applied to fabricate samples with varied geometries to assess its potential and limitations combined with the fabrication process. Finally, two demonstrators were produced to explore the printing process for different geometric configurations: conceptual window frame and structural node were designed, and 3D printed as proof of concept.
Nasopharyngeal rapid diagnostic testing to reduce unnecessary antibiotic use and individualize management of acute otitis media
Authors: Sebastian Thresia , Toseef Mohammad Usama , Kurtz Melanie , Frost Holly M. 
Published: March 2023

Abstract

Background:
Acute otitis media (AOM) is the most common indication for antibiotics in children. The associated organism can influence the likelihood of antibiotic benefit and optimal treatment. Nasopharyngeal polymerase chain reaction can effectively exclude the presence of organisms in middle-ear fluid. We explored the potential cost-effectiveness and reduction in antibiotics with nasopharyngeal rapid diagnostic testing (RDT) to direct AOM management.

Methods:
We developed 2 algorithms for AOM management based on nasopharyngeal bacterial otopathogens. The algorithms provide recommendations on prescribing strategy (ie, immediate, delayed, or observation) and antimicrobial agent. The primary outcome was the incremental cost-effectiveness ratio (ICER) expressed as cost per quality-adjusted life day (QALD) gained. We used a decision-analytic model to evaluate the cost-effectiveness of the RDT algorithms compared to usual care from a societal perspective and the potential reduction in annual antibiotics used.

Results:
An RDT algorithm that used immediate prescribing, delayed prescribing, and observation based on pathogen (RDT-DP) had an ICER of $1,336.15 per QALD compared with usual care. At an RDT cost of $278.56, the ICER for RDT-DP exceeded the willingness to pay threshold; however, if the RDT cost was <$212.10, the ICER was below the threshold. The use of RDT was estimated to reduced annual antibiotic use, including broad-spectrum antimicrobial use, by 55.7% ($4.7 million for RDT vs $10.5 million for usual care).

Conclusion:
The use of a nasopharyngeal RDT for AOM could be cost-effective and substantially reduce unnecessary antibiotic use. These iterative algorithms could be modified to guide management of AOM as pathogen epidemiology and resistance evolve.
Telomerase inhibition in malignant gliomas: a systematic review
Authors: D'Alessandris Quintino Giorgio , Battistelli Marco , Pennisi Giovanni , Offi Martina , Martini Maurizio , Cenci Tonia , Falchetti Maria Laura , Lauretti Liverana , Olivi Alessandro , Pallini Roberto , Montano Nicola 
Published: March 2023

Abstract
Glioblastoma (GBM) is the most frequent adult malignant brain tumour and despite different therapeutic efforts, the median overall survival still ranges from 14 to 18 months. Thus, new therapeutic strategies are urgently needed. However, the identification of cancer-specific targets is particularly challenging in GBM, due to the high heterogeneity of this tumour in terms of histopathological, molecular, genetic and epigenetic features. Telomerase reactivation is a hallmark of malignant glioma. An activating mutation of the hTERT gene, encoding for the active subunit of telomerase, is one of the molecular criteria to establish a diagnosis of GBM, IDH-wildtype, in the 2021 WHO classification of central nervous system tumours. Telomerase inhibition therefore represents, at least theoretically, a promising strategy for GBM therapy: pharmacological compounds, as well as direct gene expression modulation therapies, have been successfully employed in in vitro and in vivo settings. Unfortunately, the clinical applications of telomerase inhibition in GBM are currently scarce. The aim of the present systematic review is to provide an up-to-date report on the studies investigating telomerase inhibition as a therapeutic strategy for malignant glioma in order to foster the future translational and clinical research on this topic.