bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microseismic network sensitivity in case of no seismic activity
Authors: Káldy Eva , Fischer Tomáš 
Published: July 2023

AbstractUnderground human activities, such as mining, shale gas, and oil exploitation, waste-water disposal, or geothermal plants, can cause earthquakes; therefore, they are monitored by local seismic networks. An ideal seismic network has a triangulated grid, with spacing equal twice the minimal depth and no associated industry noise. In real cases, the network sensitivity is biased by stations placed near noisy roads, factories, or in a private garden, none located at optimal nodes. The sensitivity is also a function of the detection algorithm type and setting. The goal of this case study is to suggest a work-flow for network sensitivity calculation in case of no seismic activity. In other words: how small are the earthquakes that such seismic networks would detect if they were present? Such network sensitivity is a function of stations noise level, station-source geometry, and setting of the detection algorithm. A brief theory and work-flow description is followed by two real-case demonstrations from Czech Republic, Europe: first, a proof-test on a well-studied seismically active area of West Bohemia/Vogtland and second, an application to an uprising geothermal project in Litoměřice, where no seismic activity was detected in years of monitoring.
Vice-based accounts of moral evil
Authors: Wilson Alan T. 
Published: July 2023

AbstractIn this paper, I highlight three objections to vice-based accounts of moral evil: (1) the worry that vice-based accounts of evil are explanatorily inadequate; (2) the worry that even extreme vice is not sufficient for evil; and (3) the worry that not all vices are inversions of virtue (and so vice-based accounts will struggle to explain the “mirror thesis”). I argue that it is possible to respond to these objections by developing a vice-based account of evil that draws on insights from virtue (and vice) epistemology. In this way, I seek to defend the strategy of understanding evil in terms of vice, and to provide guidance on how best to develop such an account. I also briefly consider what vice-based accounts of moral evil might imply about evil in other normative domains where it is common to talk of virtue and vice, including the possibilities of epistemic evil and aesthetic evil.
From Bariatric Surgery to Conception: The Ideal Timing to Optimize Fetal Weight
Authors: Carreira Ana , Araújo Bárbara , Lavrador Mariana , Vieira Inês , Rodrigues Dírcea , Paiva Sandra , Melo Miguel , Paiva Isabel 
Published: July 2023

Abstract
Purpose
Bariatric surgery (BS) increases the risk of small for gestational age (SGA) neonates. Guidelines recommend postponing pregnancy for 12–24 months, but optimal surgery-to-conception interval (BSCI) remains uncertain. We aimed to evaluate the impact of BSCI on birth weight and SGA.

Materials and Methods
Retrospective cohort study of 42 pregnancies following BS, including Roux-en-Y gastric bypass, gastric sleeve, adjustable gastric banding and biliopancreatic diversion. Neonates were classified as SGA if birth weight < 10th percentile. Optimal BSCI was obtained from the analysis of ROC curves, and pregnancies were compared by that cut-off.

Results
There was a linear association between BSCI and birth weight and an inverse association with SGA, with each additional month of BSCI translating into additional 4.5 g (95%CI: 2.0–7.0) on birth weight and -6% risk of SGA (95%CI: 0.90–0.99). We established a cut-off of 24.5 months of BSCI for lower risk of SGA. Pregnancies conceived in the first 24 months had a more than tenfold increased risk of SGA (OR 12.6, 95%CI: 2.4–66.0), even when adjusted for maternal age, gestational diabetes and inadequate gestational weight gain.

Conclusion
BSCI was associated with birth weight and SGA. Our results are in line with the recommendations of BSCI of at least 24 months to reduce the risk of SGA.

Graphical Abstract
A Literature Review and Critical Analysis of Metaheuristics Recently Developed
Authors: Velasco Luis , Guerrero Hector , Hospitaler Antonio 
Published: July 2023

AbstractMetaheuristic algorithms have applicability in various fields where it is necessary to solve optimization problems. It has been a common practice in this field for several years to propose new algorithms that take inspiration from various natural and physical processes. The exponential increase of new algorithms is a controversial issue that several researchers have criticized. However, their efforts to point out multiple issues involved in these practices have been insufficient since the number of existing metaheuristics continues to increase yearly. To know the current state of this problem, this paper analyzes a sample of 111 recent studies where so-called new, hybrid, or improved optimization algorithms are proposed. Throughout the document, the topics reviewed will be addressed from a general perspective to their specific aspects. Among the study’s findings, it is observed that only 43% of the analyzed papers make some mention of the No Free Lunch (NFL) theorem, being this significant result ignored by most of the studies where new algorithms are presented. Of the analyzed studies, 65% present an improved version of some established algorithm, which reveals that the trend is no longer to propose metaheuristics based on new analogies. Additionally, a compilation of solutions found in engineering problems commonly used to verify the performance of state-of-the-art algorithms is presented. To demonstrate that algorithms with a low level of innovation can be erroneously considered as new frameworks for years, the metaheuristics known as Black Widow Optimization and Coral Reef Optimization are analyzed. The study of its components reveals that they do not have any innovation. Instead, they are just deficient mixtures of different evolutionary operators. This result applies by extension to their recently proposed improved versions.
Asymmetries, uncertainty and inflation: evidence from developed and emerging economies
Authors: Anderl Christina , Caporale Guglielmo Maria 
Published: July 2023

AbstractThis paper examines the asymmetric impact of economic policy uncertainty (EPU) and oil price uncertainty (OPU) on inflation by using a Nonlinear ARDL (NARDL) model, which is compared to a benchmark linear ARDL one. Using monthly data from the 1990s until August 2022 for a number of developed and emerging countries, we find that the estimated effects of both EPU and OPU shocks are larger when allowing for asymmetries in the context of the NARDL framework. Further, EPU shocks, especially negative ones, have a stronger impact on inflation than OPU ones and capture some of the monetary policy uncertainty, thereby reducing the direct effect of interest rate changes on inflation. Since EPU shocks reflect, at least to some extent, monetary policy uncertainty, greater transparency and more timely communications from monetary authorities to the public would be helpful to anchor inflation expectations.
ASH highlights 2022—multiple myeloma
Authors: Rüsing Lina Z. , Agis Hermine , Krauth Maria 
Published: July 2023

SummaryThe 64th annual meeting was held in New Orleans, Louisiana from December 10–13, 2022. More than 150 abstracts concerning multiple myeloma have been presented, mirroring the rapid progression, and deepening of our understanding of this disease.Evolution in treatment options includes new therapeutic regimens incorporating established drugs as well as entirely newly discovered substances, targeting malignant plasma cells utilizing the power of the immune system. In the following, a personal shortcut of hot topics is presented, focusing on data from large clinical trials which have the potency to change clinical practice as well as on new treatment options which may impact future strategies to achieve deep and durable responses aiming to pave the way to potential cure.
Anomalous refinement and uniformization of grains in metallic thin films
Authors: Wang Lei , Wang Shu , Wang Xiaofeng , Zhang Jianming , Dong Jianjie , Wei Bin , Yang Haiguang , Wang Zhongchang , Zhang Ziyang , Guo ChuanFei , Liu Qian 
Published: July 2023

AbstractWhen a laser beam writes on a metallic film, it usually coarsens and deuniformizes grains because of Ostwald ripening, similar to the case of annealing. Here we show an anomalous refinement effect of metal grains: A metallic silver film with large grains melts and breaks into uniform, close-packed, and ultrafine (∼ 10 nm) grains by laser direct writing with a nanoscale laser spot size and nanosecond pulse that causes localized heating and adaptive shock-cooling. This method exhibits high controllability in both grain size and uniformity, which lies in a linear relationship between the film thickness (h) and grain size (D), D ∝ h. The linear relationship is significantly different from the classical spinodal dewetting theory obeying a nonlinear relationship (D ∝ h5/3) in common laser heating. We also demonstrate the application of such a silver film with a grain size of ∼ 10.9 nm as a surface-enhanced Raman scattering chip, exhibiting superhigh spatial-uniformity and low detection limit down to 10−15 M. This anomalous refinement effect is general and can be extended to many other metallic films.
The Short- and Long-Term Impacts of COVID-19 Pandemic on the Sharing Economy: Distinguishing Between “Symptomatic” and “Asymptomatic” Platforms
Authors: Nuttah Muntaser Mohamed , Roma Paolo , Lo Nigro Giovanna , Perrone Giovanni 
Published: July 2023

AbstractOur study presents a systematic literature review on the repercussions of the COVID-19 pandemic on the different types of sharing economy platforms and the sharing economy phenomenon in its entirety. Our literature review helps understand how the characteristics of different services of the sharing economy combine with contingent factors, such as government-mandated lockdowns, changed consumer behaviors, and people’s fear of contagion, to determine the magnitude of the impact of COVID-19 on the sharing economy both in the short run and in the long run. By examining these factors, we distinguish between sharing economy services/platforms that were (and possibly will be) negatively impacted by the COVID-19 pandemic (referred to as “symptomatic” platforms) and those that were not (and possibly will not be) impacted at all or even benefit (referred to as “asymptomatic” platforms). We then propose a new framework that combines traditional dimensions of sharing economy with a dimension resulting from the COVID-19 pandemic, i.e., the level of physical interaction required to deliver the sharing economy service. Building upon the extant literature, the framework helps better understand how the sharing economy will evolve after the pandemic. It also helps identify important research gaps that both academics and practitioners working on the field of sharing economy should address in the near future.
Experimental quantification of the performance of a horizontal multi-pipe bulk separator of water and oil with crude spiking
Authors: Asaadian Hamidreza , Stanko Milan 
Published: July 2023

AbstractSubsea water separation with pipe separators is crucial for ensuring efficient and environmentally responsible extraction of oil and gas from the seabed. In this study, in a process called as “crude oil spiking,” two concentrations of crude oil (e.g., 185 and 400 ppm) are added to Exxsol D60 to mimic the separation characteristics of real crude oil mixtures in a multi-parallel pipe separator. The pipe separator performance for water–oil bulk separation such as separation efficiency, water cut ratio, the flow pattern at the separator inlet, and the thickness and evolution of the fluid layers in the separator is evaluated and compared to the values when operating with unspiked Exxsol D60. Crude oil spiking significantly reduces the efficiency of the pipe separator and reduces the water cut ratio for oil continuous regimes (low water cuts) up to 49%. Water continuous regimes with water fractions 90% have the highest efficiency values; thus, these are not affected significantly by crude oil spiking. With crude spiking, the flow regime dispersion of oil in water and water in oil (Dw/o + Do/w) occupies more area in the flow pattern map than unspiked Exxsol D60. It was observed through visual inspection that crude oil spiking induces a thicker and more stable emulsion in higher flow rates (e.g., 700 L/min). Therefore, the spiked mixture needs more time to separate. The findings of this study can help in a better understanding of the applicability of pipe separators and the usage of spiked oils to extrapolate experimental results to real field conditions.
Graphical abstract
Prediction of barium sulfate precipitation in dynamic tube blocking tests and its inhibition for waterflooding application using response surface methodology
Authors: Khormali Azizollah , Ahmadi Soroush 
Published: July 2023

AbstractScale precipitation is one of the major problems in the petroleum industry during waterflooding. The possibility of salt formation and precipitation should be monitored and analyzed under dynamic conditions to improve production performance. Scale precipitation and its dependence on production parameters should be investigated before using scale inhibitors. In this study, the precipitation of barium sulfate salt was investigated through dynamic tube blocking tests at different injection rates and times. For this purpose, the pressure drop caused by salt deposition was evaluated at injection rates of 1, 2, 3, 4, and 5 mL/min. The software determined the worst conditions (temperature, pressure, and water mixing ratio) for barium sulfate precipitation. Moreover, during the experiments, the pressure drop caused by barium sulfate precipitation was measured without using scale inhibitors. The pressure drop data were evaluated by the response surface method and analysis of variance to develop a new model for predicting the pressure drop depending on the injection rate and time. The novelty of this study lies in the development of a new high-precision correlation to predict barium sulfate precipitation under dynamic conditions using the response surface methodology that evaluates the effect of injection rate and time on the possibility of salt precipitation. The accuracy and adequacy of the obtained model were confirmed by using R2 statistics (including R2-coefficient of determination, adjusted R2, and predicted R2), adequate precision, and diagnostic charts. The results showed that the proposed model could fully and accurately predict the pressure drop. Increasing the time and decreasing the injection rate caused an increase in pressure drop and precipitation of barium sulfate salt, which was related to the formation of more salt due to the contact of ions. In addition, in a short period of the injection process, the pressure drop due to salt deposition increased sharply, which confirms the need to use a suitable scale inhibitor to control salt deposition. Finally, the dynamic tube blocking tests were repeated in the presence of two well-known scale inhibitors, which prevented salt deposition in the tubes. At the same time, no pressure drop was observed in the presence of scale inhibitors at all injection rates during a long period of injection. The obtained results can be used for the evaluation of salt precipitation during oil production in the reservoirs, in which barium sulfate is precipitated during waterflooding. For this purpose, knowing the flow rate and injection time, it is possible to determine the amount of pressure drop caused by salt deposition.
Nonlinear system identification of a UAV model with distributed aerodynamics and flexible structure
Authors: Herrmann Benjamin , Theis Julian , Thielecke Frank 
Published: July 2023

AbstractThis paper presents the nonlinear system identification of a slightly flexible 25 kg fixed-wing UAV in the time-domain using a computationally efficient distributed aerodynamics model and a linear structural dynamics representation. The equations of motion are formed by making use of the free vibration modes of the structure and the mean axes formulation. The structural modes and mode shapes are determined from ground vibration tests. The distributed aerodynamics, accounting for elastic deformations, are modeled using a quasi-steady stability and control derivative approach and by applying strip theory. Initial distributions for the derivatives are obtained from vortex-lattice-method calculations. For matching the model response to the measured response, parameters for scaling the initial derivative distributions are introduced. The flexible model is subsequently identified based on flight test data using the output error method in the time-domain and maximum-likelihood estimation. A good overall identification result is achieved with a close match of the fast aircraft dynamics. Finally, an evaluation is given on the suitability of the identified model for real-time simulation, loads’ estimation, and active load control law design.
Comparing organic solvents in a combined water precipitation and liquid–liquid extraction process to recover lignin and furanics from a lactic acid: choline chloride deep eutectic solvent used as cooking liquor for cooking of spruce
Authors: Gholami Mahsa , Tijburg Jochem M. , Schuur Boelo 
Published: July 2023

AbstractExtracting and purifying lignin from wood without compromising cellulose quality is a challenging process. Lactic acid: choline chloride is a deep eutectic solvent (DES) that has been identified as acceptable delignification solvent, producing lignin and hemicellulose as byproducts to the cellulose. Hemicellulose is partly transformed into furanic compounds (such as furfural and 5-HMF). While the larger lignin can be obtained by water precipitation from DES, smaller lignin molecules and furanics can be recovered by liquid–liquid extraction (LLX), either directly or after precipitation of the larger lignin molecules. The presence of water in the DES after water precipitation reduced the mutual miscibility with the solvents, allowing the use of a wider range of solvents in the LLX process. In the precipitation step, all the larger molecular weight lignin (Mw > 5000 Da) can be recovered when adding at least 3.5:1 [g/g] water to DES-black liquor. For the LLX step, guaiacol was found as suitable alternative to the previously published 2-methyltetrahedrofuran (2-MTHF). In addition, here we report the use of 2,2,5,5-Tetramethyl oxolane (TMO), a recent addition to the palette of (potentially) bio-based solvents. The distribution coefficients of smaller lignin molecules and furanics in LLX with guaiacol, TMO and 2-MTHF were compared, revealing that smaller lignin molecules (500–5000 Da) can be recovered with a reasonable distribution coefficient by 2-MTHF and guaiacol. Furfural showed distribution coefficients of at least 1.27 in all three solvents. Guaiacol and TMO both showed a significantly lower lactic acid leaching than 2-MTHF. This makes them potential alternatives for 2-MTHF in this technique.
Graphical abstract
Validity and diagnostics of the Italian version of the Montreal Cognitive Assessment (MoCA) in non-demented Parkinson’s disease patients
Authors: D’Iorio Alfonsina , Aiello Edoardo Nicolò , Amboni Marianna , Vitale Carmine , Verde Federico , Silani Vincenzo , Ticozzi Nicola , Ciammola Andrea , Poletti Barbara , Santangelo Gabriella 
Published: July 2023

Abstract
Background
This study aimed at: (1) assessing, in an Italian cohort of non-demented Parkinson’s disease (PD) patients, the construct validity of the Montreal Cognitive Assessment (MoCA) against both first- and second-level cognitive measures; (2) delivering an exhaustive and updated evaluation of its diagnostic properties.

Methods
A retrospective cohort of N = 237 non-demented PD patients having been administered the MoCA was addressed, of whom N = 169 further underwent the Mini-Mental State Examination (MMSE) and N = 68 the Parkinson’s Disease Cognitive Rating Scale (PD-CRS). A subsample (N = 60) also underwent a second-level cognitive battery encompassing measures of attention/executive functioning, language, memory, praxis and visuo-spatial abilities. Construct validity was assessed against both the PD-CRS and the second-level cognitive battery. Diagnostics were tested via receiver-operating characteristics analyses against a below-cut-off MMSE score.

Results
The MoCA was associated with both PD-CRS scores (p < .001) and the vast majority of second-level cognitive measures (ps < .003). Both raw and adjusted MoCA scores proved to be highly accurate to the aim of identifying patients with MMSE-confirmed cognitive dysfunctions. A MoCA score adjusted for age and education according to the most recent normative dataset and < 19.015 is herewith suggested as indexing cognitive impairment in this population (AUC = .92; sensitivity = .92; specificity = .80).

Discussion
The Italian MoCA is a valid and diagnostically sound screener for global cognitive inefficiency in non-demented PD patients. Further studies are nevertheless needed that confirm its diagnostic values against a measure other than the MMSE.
Exact neutrosophic analysis of missing value in augmented randomized complete block design
Authors: AlAita Abdulrahman , Talebi Hooshang 
Published: July 2023

AbstractThe augmented randomized complete block design (ARCBD) is widely used in plant breeding programs to screen numerous new treatments. The error variance is estimated based on the replicated control treatments run over a randomized complete block design and is used to test the new treatments that are administrated each once in the extended units of the blocks. However, one or more observations corresponding to the control treatments may be missed in experiments, making difficulties, e.g., biased estimates. An approximate common approach to deal with this problem is the imputation of the estimated value which is with some uncertainties. Moreover, in real-life experiments, there are more sources of uncertainty that cause conflict-indeterminate, vague, imprecise, and erroneous data that increases the complexity of the analysis. In this paper, an exact scheme is utilized to deal with a missing control treatment in ARCBD. To overcome the problem of indeterminacies in data, a novel neutrosophic analysis approach is proposed. Specifically, the problem of a missing value in an ARCBD for an uncertain environment is resolved analytically by considering an augmented incomplete block design in the framework of neutrosophic statistics so-called neutrosophic augmented randomized complete block design (NARCBD). In this approach, by proposing the neutrosophic model, the neutrosophic estimations as well as the mathematical neutrosophic adjusted sums of squares are derived and the analysis of variance table is provided. The new model is applied to the neutrosophic genotype data example of safflower and assessed by a simulation study. Furthermore, a code in the R software was written to analyze the data based on the proposed approach to fill the calculation gap for data analysis in NARCBD with a missing value. In light of the results observed, it can be concluded that the neutrosophic exact proposed method performs better than the classic in the presence of uncertainty.