bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of the VLT-CUBES image slicers:
Authors: Calcines Ariadna , Wells Martyn , O’Brien Kieran , Morris Simon , Seifert Walter , Zanutta Alessio , Evans Chris , Di Marcantonio Paolo 
Published: September 2022

AbstractCUBES is a high efficiency spectrograph designed for a Cassegrain focus of the Very Large Telescope and is expected to be in operation in 2028. It is designed to observe point or compact sources in a spectral range from 300 to 405nm. CUBES will provide two spectral resolving powers: R$$\ge$$
≥
20,000 for high resolution (HR) and R$$\ge$$
≥
5,000 for low resolution (LR). This is achieved by using an image slicer for each resolution mode. The image slicers re-format a rectangular on-sky field of view of either 1.5arcsec by 10arcsec (HR) or 6arcsec by 10arcsec (LR) into six side-by-side slitlets which form the spectrograph slit. The slit dimensions are 0.19mm $$\times$$
×
88mm for HR and 0.77mm $$\times$$
×
88mm for LR. The on-sky and physical widths of the slicer mirrors are 0.25arcsec/0.5mm (HR) and 1arcsec/2mm (LR). The image slicers reduce the spectrograph entrance slit etendue and hence the size of the spectrograph optics without associated slit losses. Each of the proposed image slicers consists of two arrays of six spherical mirrors (slicer mirror and camera mirror arrays) which provide a straight entrance slit to the spectrograph with almost diffraction-limited optical quality. This paper presents the description of the image slicers at the end of the Phase A conceptual design, including their optical design and expected performance.
A New Readout Electronic for Kinetic Inductance Detectors
Authors: Limonta A. , Zannoni M. , Coppi G. , Conenna G. , Boussaha F. , Tartari A. , Gervasi M. , Nati F. , Passerini A. , de Bernardis P. , Coppolecchia A. , D’Alessandro G. , Masi S. , Paiella A. , Bersanelli M. , Franceschet C. , Manzan E. , Mennella A. 
Published: September 2022

AbstractWith this contribution we show the readout electronics for kinetic inductance detectors (KIDs) that we are developing based on commercial IQ transceivers from National Instruments and using a Virtex 5 class FPGA. It will be the readout electronics of the COSmic Monopole Observer (COSMO) experiment, a ground based cryogenic Martin–Puplett Interferometer searching for the cosmic microwave background spectral distortions. The readout electronics require a sampling rate in the range of tens of kHz, which is both due to a fast rotating mirror modulating the signal and the time constant of the COSMO KIDs. In this contribution we show the capabilities of our readout electronics using Niobium KIDs developed by Paris Observatory for our 5 K cryogenic system. In particular, we demonstrate the capability to detect 23 resonators from frequency sweeps and to readout the state of each resonator with a sampling rate of about 8 kHz. The readout is based on a finite-state machine where the first two states look for the resonances and generate the comb of tones, while the third one performs the acquisition of phase and amplitude of each detector in free running. Our electronics are based on commercial modules, which brings two key advantages: they can be acquired easily and it is relative simple to write and modify the firmware within the LabView environment in order to meet the needs of the experiment.
Environmental innovation and R&D collaborations: Firm decisions in the innovation efficiency context
Authors: Dimakopoulou Andriana G. , Chatzistamoulou Nikos , Kounetas Kostas , Tsekouras Kostas 
Published: September 2022

AbstractTo develop innovation, firms make several decisions on the allocation of resources to specific innovation activities. Important innovation decisions include among others the decision to collaborate with other partners for innovation activities and the decision to engage in complex R&D projects such as projects with environmental benefits. Although there are very few empirical works that examine these two decisions together, while supporting that R&D collaborations are more important for the development of environmental innovations than for conventional innovations, an empirical work that examines the joint impact of these two decisions on corporate innovation efficiency is still lacking. This study aims to fulfill this gap by making one of the first attempts to employ a new dataset based on the Greek Community Innovation Survey (CIS), conducted for the years of 2012–2014 analyzing 2456 companies. Econometric results indicate that firm’s decision to eco-innovate exerts a positive influence on firms’ innovation efficiency directly. On the contrary, regarding the decision to engage in R&D collaborations, econometric results indicate that there is not a direct or an indirect, via eco-innovation, impact on innovation efficiency.
Acute vs. chronic vs. intermittent hypoxia in breast Cancer: a review on its application in in vitro research
Authors: Liu Qiuyu , Palmgren Victoria A.C. , Danen Erik HJ , Le Dévédec Sylvia E. 
Published: September 2022

AbstractHypoxia has been linked to elevated instances of therapeutic resistance in breast cancer. The exposure of proliferating cancer cells to hypoxia has been shown to induce an aggressive phenotype conducive to invasion and metastasis. Regions of the primary tumors in the breast may be exposed to different types of hypoxia including acute, chronic or intermittent. Intermittent hypoxia (IH), also called cyclic hypoxia, is caused by exposure to cycles of hypoxia and reoxygenation (H-R cycles). Importantly, there is currently no consensus amongst the scientific community on the total duration of hypoxia, the oxygen level, and the possible presence of H-R cycles. In this review, we discuss current methods of hypoxia research, to explore how exposure regimes used in experiments are connected to signaling by different hypoxia inducible factors (HIFs) and to distinct cellular responses in the context of the hallmarks of cancer. We highlight discrepancies in the existing literature on hypoxia research within the field of breast cancer in particular and propose a clear definition of acute, chronic, and intermittent hypoxia based on HIF activation and cellular responses: (i) acute hypoxia is when the cells are exposed for no more than 24 h to an environment with 1% O2 or less; (ii) chronic hypoxia is when the cells are exposed for more than 48 h to an environment with 1% O2 or less and (iii) intermittent hypoxia is when the cells are exposed to at least two rounds of hypoxia (1% O2 or less) separated by at least one period of reoxygenation by exposure to normoxia (8.5% O2 or higher). Our review provides for the first time a guideline for definition of hypoxia related terms and a clear foundation for hypoxia related in vitro (breast) cancer research.
Cognitive Functioning of Unaffected First-degree Relatives of Individuals With Late-onset Alzheimer's Disease: A Systematic Literature Review and Meta-analysis
Authors: Ramos Ari Alex , Galiano-Castillo Noelia , Machado Liana 
Published: September 2022

AbstractFirst-degree relatives of individuals with late-onset Alzheimer's disease (LOAD) are at increased risk for developing dementia, yet the associations between family history of LOAD and cognitive dysfunction remain unclear. In this quantitative review, we provide the first meta-analysis on the cognitive profile of unaffected first-degree blood relatives of LOAD-affected individuals compared to controls without a family history of LOAD. A systematic literature search was conducted in PsycINFO, PubMed /MEDLINE, and Scopus. We fitted a three-level structural equation modeling meta-analysis to control for non-independent effect sizes. Heterogeneity and risk of publication bias were also investigated. Thirty-four studies enabled us to estimate 218 effect sizes across several cognitive domains. Overall, first-degree relatives (n = 4,086, mean age = 57.40, SD = 4.71) showed significantly inferior cognitive performance (Hedges’ g = -0.16; 95% CI, -0.25 to -0.08; p < .001) compared to controls (n = 2,388, mean age = 58.43, SD = 5.69). Specifically, controls outperformed first-degree relatives in language, visuospatial and verbal long-term memory, executive functions, verbal short-term memory, and verbal IQ. Among the first-degree relatives, APOE ɛ4 carriership was associated with more significant dysfunction in cognition (g = -0.24; 95% CI, -0.38 to -0.11; p < .001) compared to non-carriers (g = -0.14; 95% CI, -0.28 to -0.01; p = .04). Cognitive test type was significantly associated with between-group differences, accounting for 65% (R23 = .6499) of the effect size heterogeneity in the fitted regression model. No evidence of publication bias was found. The current findings provide support for mild but robust cognitive dysfunction in first-degree relatives of LOAD-affected individuals that appears to be moderated by cognitive domain, cognitive test type, and APOE ɛ4.
Stability of a nonideally excited Duffing oscillator
Authors: González-Carbajal Javier , García-Vallejo Daniel , Domínguez Jaime 
Published: September 2022

AbstractThis paper investigates the dynamics of a Duffing oscillator excited by an unbalanced motor. The interaction between motor and vibrating system is considered as nonideal, which means that the excitation provided by the motor can be influenced by the vibrating response, as is the case in general for real systems. This constitutes an important difference with respect to the classical (ideally excited) Duffing oscillator, where the amplitude and frequency of the external forcing are assumed to be known a priori. Starting from pre-resonant initial conditions, we investigate the phenomena ofpassage through resonance(the system evolves towards a post-resonant state after some transient near-resonant oscillations) andresonant capture(the system gets locked into a near-resonant stationary oscillation). The stability of stationary solutions is analytically studied in detail through averaging procedures, and the obtained results are confirmed by numerical simulations.
Global Shocks in the US Economy: Effects on Output and the Real Exchange Rate
Authors: Oyekola Olayinka , Meenagh David , Minford Patrick 
Published: September 2022

AbstractThis paper studies the effects of global shocks, relative to domestic shocks (productivity, mark-up, and demand shocks), in accounting for US business cycle fluctuations. We do this by developing and estimating a two-sector open economy dynamic stochastic general equilibrium model that features several real frictions and structural shocks. The central finding from the estimated model is that global shocks are the main driver of movements in many US macroeconomic aggregates. Particularly, we find that they explain around 40% of the variations in our main variables of interest—output and real exchange rate. This important quantitative contribution is achieved by using indirect inference estimation techniques to test the model. We identify exogenous world demand, oil price shocks, preference for exported energy-intensive goods, and the price of imported energy-intensive goods as the global shocks most prominent in causing the largest variations in economic outcomes. By contrast, foreign interest rates and preference for aggregate exported goods are found to be bystanders.
The Methodological Contributions of the Barometer of Social Capital (BARCAS) to the Measurement of Social Capital
Authors: Sudarsky John , García Diana , Sudarsky Jerónimo 
Published: September 2022

AbstractThis study examines the complexity of measuring social capital and presents the Barometer of Social Capital (BARCAS) as a comprehensive research methodology to do so. The BARCAS is a multilevel, multi-setting, multivariate, and cross-national instrument developed in Colombia and applied four times over two decades, in 1997, 2005, 2011, and 2017. Throughout each of the four measurements, a variety of methods were used to improve the explained variance of the model and disaggregate dimensions into variables and items to determine their contribution to a factor’s average change. The learning and refining processes undertaken to improve the BARCAS are described in detail. Ultimately, the 2017 iteration of the BARCAS presents us with four factors that make up social capital and explain 76% of the variance: Social Fabric, Civic Capital, Institutional Trust and Indirect Control of the State, and Faith in Unvalidated Sources of Information. Factor analysis of dimensions differentiated the factors and produced factor scores or dependent variables for each respondent. The surprising volatility of the factors’ composition and levels over time indicates that the current research strategy of piecemeal hypothesis testing should be complemented by a more clinical approach, given the wide variety of intervening elements present at any given place and time. Further research could uncover whether BARCAS dimensions and factors are universal to all societies. It is hoped that the lessons learned with the BARCAS can be used by other researchers in similar endeavors.
A proposal for a metaphysics of self-subsisting structures. I. Classical physics
Authors: Vassallo Antonio , Naranjo Pedro , Koslowski Tim 
Published: September 2022

AbstractWe present a new metaphysical framework for physics that is conceptually clear, ontologically parsimonious, and empirically adequate. This framework relies on the notion of self-subsisting structure, that is, a set of fundamental physical elements whose individuation and behavior are described in purely relational terms, without any need for a background spacetime. Although the specification of the fundamental elements of the ontology depends on the particular physical domain considered—and is thus susceptible to scientific progress—the empirically successful structural features of the framework are preserved through theory change. The kinematics and dynamics of these self-subsisting structures are technically implemented using the theoretical framework of Pure Shape Dynamics, which provides a completely relational physical description of a system in terms of the intrinsic geometry of a suitably defined space called shape space.
Visible Light–Driven Advanced Oxidation Processes to Remove Emerging Contaminants from Water and Wastewater: a Review
Authors: Zawadzki Piotr 
Published: September 2022

Abstract
The scientific data review shows that advanced oxidation processes based on the hydroxyl or sulfate radicals are of great interest among the currently conventional water and wastewater treatment methods. Different advanced treatment processes such as photocatalysis, Fenton’s reagent, ozonation, and persulfate-based processes were investigated to degrade contaminants of emerging concern (CECs) such as pesticides, personal care products, pharmaceuticals, disinfectants, dyes, and estrogenic substances. This article presents a general overview of visible light–driven advanced oxidation processes for the removal of chlorfenvinphos (organophosphorus insecticide), methylene blue (azo dye), and diclofenac (non-steroidal anti-inflammatory drug). The following visible light–driven treatment methods were reviewed: photocatalysis, sulfate radical oxidation, and photoelectrocatalysis. Visible light, among other sources of energy, is a renewable energy source and an excellent substitute for ultraviolet radiation used in advanced oxidation processes. It creates a high application potential for solar-assisted advanced oxidation processes in water and wastewater technology. Despite numerous publications of advanced oxidation processes (AOPs), more extensive research is needed to investigate the mechanisms of contaminant degradation in the presence of visible light. Therefore, this paper provides an important source of information on the degradation mechanism of emerging contaminants. An important aspect in the work is the analysis of process parameters affecting the degradation process. The initial concentration of CECs, pH, reaction time, and catalyst dosage are discussed and analyzed. Based on a comprehensive survey of previous studies, opportunities for applications of AOPs are presented, highlighting the need for further efforts to address dominant barriers to knowledge acquisition.
A new source of bacterial myrosinase isolated from endophytic Bacillus sp. NGB-B10, and its relevance in biological control activity
Authors: Youseif Sameh H. , Abdel-Fatah Hanan M. K. , Khalil Mary S. 
Published: September 2022

AbstractPlant metabolism interacts strongly with the plant microbiome. Glucosinolates, secondary metabolites synthesized by Brassica plants, are hydrolyzed by myrosinase into bioactive compounds of great importance in human health and plant protection. Compared with myrosinase from plant sources, myrosinase enzymes of microbial origin have not been extensively investigated. Therefore, seven endophytic strains corresponding to Bacillus sp. were isolated from Eruca vesicaria ssp. sativa plants that could hydrolyse glucosinolates (sinigrin) in the culture medium and showed myrosinase activity (0.08–19.92 U mL−1). The bglA myrosinase-related gene encoding the 6-phospho-β-glucosidase (GH 1) from Bacillus sp. NGB-B10, the most active myrosinase-producing bacterium, was successfully identified. Response surface methodology (RSM) was applied to statistically optimize culture conditions for myrosinase production from Bacillus sp. strain NGB-B10. The Plackett–Burman design indicated that nitrogen concentration, incubation period, and agitation speed were the significant parameters in myrosinase production. The application of the Box–Behnken design of RSM resulted in a 10.03-fold increase in enzyme activity as compared to the non-optimized culture conditions. The myrosinase was partially purified by 40% fractionation followed by SDS-PAGE analysis which yielded two subunits that had a molecular weight of 38.6 and 35.0 KDa. The purified enzyme was stable under a broad range of pH (5.5–10) and temperatures (10–65 °C). The hydrolysis products released by bacterial myrosinase from some glucosinolate extracts had higher and/or equivalent in vitro antagonistic activity against several phytopathogenic fungi compared to the nystatin (a broad-spectrum antifungal agent). This study provides original information about a new source of bacterial myrosinase and affords an optimized method to enhance myrosinase production.
Single isocenter stereotactic irradiation for multiple brain metastases: current situation and prospects
Authors: Uto Megumi , Torizuka Daichi , Mizowaki Takashi 
Published: September 2022

AbstractThe prognosis of patients with brain metastases has dramatically improved, and long-term tumor control and reduction of the risk of late toxicities, including neurocognitive dysfunction, are important for patient quality of life. Stereotactic irradiation for multiple brain metastases, rather than whole-brain radiotherapy, can result in high local control rate with low incidence of neurocognitive deterioration and leukoencephalopathy. Recent advances in radiotherapy devices, treatment-planning systems, and image-guided radiotherapy can realize single isocenter stereotactic irradiation for multiple brain metastases (SI-STI-MBM), in which only one isocenter is sufficient to treat multiple brain metastases simultaneously. SI-STI-MBM has expanded the indications for linear accelerator-based stereotactic irradiation and considerably reduced patient burden. This review summarizes the background, methods, clinical outcomes, and specific consideration points of SI-STI-MBM. In addition, the prospects of SI-STI-MBM are addressed.
Groundwater arsenic poisoning in a primary educational institution: health risks to school-going children
Authors: Rana Md. Sohel , Alam Md. Jahangir , Musa Md. Abu , Kumar Sazal , Rahman Md. Aminur 
Published: September 2022

AbstractThis study aimed to estimate arsenic (As) and iron (Fe) content in tubewell water (n = 58) in primary educational institutions and subsequently assess the health risks to school-going children. Results described that the As concentration ranged between 0.002 and 0.994 mg L−1 with an average value of 0.044 mg L−1; which exceeded the World Health Organization (WHO) provisional guideline value of 0.01 mg L−1. Similarly, the Fe content varied from 0.05 to 10 mg L−1 averaging to 2.84 mg L−1. Samples of 55.17% contained a greater As concentration than 0.01 mg L−1 and 18.97% greater than Bangladesh drinking water quality (BDWQ) standard of 0.05 mg L−1, respectively. Meanwhile, 75.86% of samples contained a higher Fe concentration than the maximum Bangladesh permissible limit of 1 mg L−1. Health risk assessment indicated that girls are more vulnerable than boys are. The average hazard quotients (HQs) for As intake through drinking water were 6.01 ± 17.85 and 7.41 ± 22.03 for boys and girls, respectively, implying non-carcinogenic health risks to both genders. The HQs for Fe intake were less than threshold value of 1 indicating no health issues may arise from Fe intake alone. However, consumption of As and Fe may trigger health risks to students as indicated by the hazard index (HI), which was higher than 1. The average cancer risk (CR) values for both boys (0.0027 ± 0.008) and girls (0.0033 ± 0.0099) exceeded the threshold limit of 10–6–10–4, suggesting a possibility of lifetime cancer risks to the school-going children. Consequently, school authorities should find alternative ways to ensure safe drinking water for school-going children to avoid possible cancer and non-cancer health risks through consumption of As-poisoning water.
Band depth based initialization of K-means for functional data clustering
Authors: Albert-Smet Javier , Torrente Aurora , Romo Juan 
Published: September 2022

AbstractThe k-Means algorithm is one of the most popular choices for clustering data but is well-known to be sensitive to the initialization process. There is a substantial number of methods that aim at finding optimal initial seeds for k-Means, though none of them is universally valid. This paper presents an extension to longitudinal data of one of such methods, the BRIk algorithm, that relies on clustering a set of centroids derived from bootstrap replicates of the data and on the use of the versatile Modified Band Depth. In our approach we improve the BRIk method by adding a step where we fit appropriate B-splines to our observations and a resampling process that allows computational feasibility and handling issues such as noise or missing data. We have derived two techniques for providing suitable initial seeds, each of them stressing respectively the multivariate or the functional nature of the data. Our results with simulated and real data sets indicate that our Functional Data Approach to the BRIK method (FABRIk) and our Functional Data Extension of the BRIK method (FDEBRIk) are more effective than previous proposals at providing seeds to initialize k-Means in terms of clustering recovery.