bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simplifying Multimodal Clinical Research Data Management: Introducing an Integrated and User-friendly Database Concept
Authors: Schweinar Anna , Wagner Franziska , Klingner Carsten , Festag Sven , Spreckelsen Cord , Brodoehl Stefan 
Published: February 2024

Abstract
Background Clinical research, particularly in scientific data, grapples with the efficient management of multimodal and longitudinal clinical data. Especially in neuroscience, the volume of heterogeneous longitudinal data challenges researchers. While current research data management systems offer rich functionality, they suffer from architectural complexity that makes them difficult to install and maintain and require extensive user training.
Objectives The focus is the development and presentation of a data management approach specifically tailored for clinical researchers involved in active patient care, especially in the neuroscientific environment of German university hospitals. Our design considers the implementation of FAIR (Findable, Accessible, Interoperable, and Reusable) principles and the secure handling of sensitive data in compliance with the General Data Protection Regulation.
Methods We introduce a streamlined database concept, featuring an intuitive graphical interface built on Hypertext Markup Language revision 5 (HTML5)/Cascading Style Sheets (CSS) technology. The system can be effortlessly deployed within local networks, that is, in Microsoft Windows 10 environments. Our design incorporates FAIR principles for effective data management. Moreover, we have streamlined data interchange through established standards like HL7 Clinical Document Architecture (CDA). To ensure data integrity, we have integrated real-time validation mechanisms that cover data type, plausibility, and Clinical Quality Language logic during data import and entry.
Results We have developed and evaluated our concept with clinicians using a sample dataset of subjects who visited our memory clinic over a 3-year period and collected several multimodal clinical parameters. A notable advantage is the unified data matrix, which simplifies data aggregation, anonymization, and export. This streamlines data exchange and enhances database integration with platforms like Konstanz Information Miner (KNIME).
Conclusion Our approach offers a significant advancement for capturing and managing clinical research data, specifically tailored for small-scale initiatives operating within limited information technology (IT) infrastructures. It is designed for immediate, hassle-free deployment by clinicians and researchers.The database template and precompiled versions of the user interface are available at: https://github.com/stebro01/research_database_sqlite_i2b2.git.
New Heterocyclic Organosulfur Compounds Derived from Dithioacetals
Authors: Groszek Grazyna , Leja Dawid T. , Depa Wojciech J. , Guńka Piotr A. , Zachara Janusz , Lechowicz Jaromir B. 
Published: February 2024

AbstractThe dithioacetalization of lactaldehyde derivatives with ethane-1,2-, propane-1,3-, butane-1,4-, and pentane-1,5-dithiols in the presence of 4 mol% of scandium triflate has been described. A series of cyclic dithioacetals were obtained with yields ranging from quantitative to 37%. The dithioacetalization of lactaldehyde derivatives with butane-1,4-dithiol and pentane-1,5-dithiol groups are accompanied by the formation of 14- and 16-membered macrocyclic sulfur structures with yields of 3% and 18%, respectively. In the case of a cyclic dithioacetal derivative with three methylene groups, a diastereoisomeric pair of enantiomers was obtained, the structure of which was confirmed by single-crystal X-ray diffraction analysis. Dithioacetals are useful building blocks in the synthesis of complex chemical structures. Macrocyclic compounds can be used to complex metal ions.
Phosphazene-Catalyzed Regioselective Condensation of Allyl Thioethers with Aldehydes: A Rapid Approach to 1,3-Dienyl Sulfides, -Sulfoxides and -Sulfones
Authors: Soorukram Darunee , Phae-nok Supasorn , Kuhakarn Chutima , Leowanawat Pawaret , Reutrakul Vichai 
Published: February 2024

AbstractThe phosphazene-catalyzed regioselective condensation of allyl thioethers with aldehydes is investigated. Upon treatment of allyl thioethers with P4-t-Bu, allyl thioether anions are generated and rapidly react with aromatic aldehydes, leading to 1,3-dienyl sulfides in good yields with high regioselectivity. This finding provides an alternative approach for the preparation of allyl thioether anions in a regioselective manner. In addition, chemoselective transformations of 1,3-dienyl sulfides to provide the corresponding 1,3-dienyl sulfoxides or 1,3-dienyl sulfones are also demonstrated.
Predictors of Intensive Care Unit Admissions in Patients Presenting with Coronavirus Disease 2019
Authors: Douda Lahib , Hasnat Heraa , Schwank Jennifer , Nassar Sarien , Jackson Nancy M. , Flynn Jeffrey C. , Gardiner Joseph , Misra Dawn P. , Sankari Abdulghani 
Published: February 2024

Abstract
Background Increased mortality rates among coronavirus disease 2019 (COVID-19) positive patients admitted to intensive care units (ICUs) highlight a compelling need to establish predictive criteria for ICU admissions. The aim of our study was to identify criteria for recognizing patients with COVID-19 at elevated risk for ICU admission.
Methods We identified patients who tested positive for COVID-19 and were hospitalized between March and May 2020. Patients' data were manually abstracted through review of electronic medical records. An ICU admission prediction model was derived from a random sample of half the patients using multivariable logistic regression. The model was validated with the remaining half of the patients using c-statistic.
Results We identified 1,094 patients; 204 (18.6%) were admitted to the ICU. Correlates of ICU admission were age, body mass index (BMI), quick Sequential Organ Failure Assessment (qSOFA) score, arterial oxygen saturation to fraction of inspired oxygen ratio, platelet count, and white blood cell count. The c-statistic in the derivation subset (0.798, 95% confidence interval [CI]: 0.748, 0.848) and the validation subset (0.764, 95% CI: 0.706, 0.822) showed excellent comparability. At 22% predicted probability for ICU admission, the derivation subset estimated sensitivity was 0.721, (95% CI: 0.637, 0.804) and specificity was 0.763, (95% CI: 0.722, 0.804). Our pilot predictive model identified the combination of age, BMI, qSOFA score, and oxygenation status as significant predictors for ICU admission.
Conclusion ICU admission among patients with COVID-19 can be predicted by age, BMI, level of hypoxia, and severity of illness.
Antibiotic Strategies for Severe Community-Acquired Pneumonia
Authors: Bassetti Matteo , Giacobbe Daniele R. , Magnasco Laura , Fantin Alberto , Vena Antonio , Castaldo Nadia 
Published: February 2024

AbstractDespite advancements in health systems and intensive care unit (ICU) care, along with the introduction of novel antibiotics and microbiologic techniques, mortality rates in severe community-acquired pneumonia (sCAP) patients have not shown significant improvement. Delayed admission to the ICU is a major risk factor for higher mortality. Apart from choosing the appropriate site of care, prompt and appropriate antibiotic therapy significantly affects the prognosis of sCAP. Treatment regimens involving ceftaroline or ceftobiprole are currently considered the best options for managing patients with sCAP. Additionally, several other molecules, such as delafloxacin, lefamulin, and omadacycline, hold promise as therapeutic strategies for sCAP. This review aims to provide a comprehensive summary of the key challenges in managing adults with severe CAP, focusing on essential aspects related to antibiotic treatment and investigating potential strategies to enhance clinical outcomes in sCAP patients.
Continuous-wave cavity ringdown for high-sensitivity polarimetry and magnetometry measurements
Authors: Tran Dang-Bao-An , Edwards Evan G. P. , Tew David P. , Peverall Robert , Ritchie Grant A. D. 
Published: February 2024

We report the development of a novel variant of cavity ringdown polarimetry using a continuous-wave laser operating at 532 nm for highly precise chiroptical activity and magnetometry measurements. The key methodology of the apparatus relies upon the external modulation of the laser frequency at the frequency splitting between non-degenerate left- and right-circularly polarized cavity modes. The method is demonstrated by the evaluation of the Verdet constants of crystalline CeF3 and fused silica, in addition to the observation of gas- and solution-phase optical rotations of selected chiral molecules. Specifically, optical rotations of (i) vapors of α-pinene and R-(+)-limonene, (ii) mutarotating D-glucose in water, and (iii) acidified L-histidine solutions are determined. The detection sensitivities for the gas- and solution-phase chiral activity measurements are ∼30 and ∼120μdeg over a 30 s detection period per cavity round trip pass, respectively. Furthermore, the measured optical rotations for R-(+)-limonene are compared with computations performed using the TURBOMOLE quantum chemistry package. The experimentally observed optically rotatory dispersion of this cyclic monoterpene was thus rationalized via a consideration of its room temperature conformer distribution as determined by the aforementioned single-point energy calculations.
Fuzzy comprehensive evaluation of seawater quality of Larimichthys Crocea mariculture areas in Zhoushan, China
Authors: Yu Jianwei , Wu Shun , Zhang Yu 
Published: February 2024

Context Aquaculture is an essential industry and assessing its impact on the environment, particularly water quality, is crucial for sustainable practices. This study aimed to comprehensively evaluate the seawater quality in the Dongji Island yellow croaker (Larimichthys crocea) aquaculture area by using the fuzzy comprehensive evaluation method and field survey. Aims The main objective of this study was to assess the seawater quality in the aquaculture area during 2 consecutive years (2019 and 2020) on the basis of monitoring data. Methods The researchers utilised the fuzzy comprehensive evaluation method to assess seawater quality in the Dongji Island yellow croaker aquaculture area. Seawater monitoring data from 6 months in 2019 and 6 months in 2020 were collected for the evaluation. The method included an annual average evaluation, and membership degrees were calculated for each year and individual months. Qualitative interviews with 30 local fish farmers were conducted to unravel the challenges faced by aquaculture water quality management. Key results The evaluation results indicated that the seawater quality in the aquaculture area was classified as Class I water in both 2019 and 2020 on the basis of the annual average evaluation. However, the membership degrees for 2019 were higher than those for 2020, suggesting that water quality was better in 2019. Furthermore, individual monthly evaluations in 2020 showed varying membership degrees, with May and June having higher membership degrees, indicating better water quality than in other months. August had the lowest membership degree, implying poorer water quality during that month. Conclusions The study demonstrated that the fuzzy comprehensive evaluation method is effective for evaluating seawater quality in aquaculture areas. It also concluded that the water quality in 2019 was superior to that in 2020, raising concerns about potential environmental degradation. Implications The quantitative and qualitative findings of this research have important implications for aquaculture practices in the Zhoushan area. The study highlights the need for continued monitoring and management of water quality to ensure sustainable aquaculture practices and adherence to water-quality policies. Future aquaculture endeavours in the region should consider the potential impact on water quality to maintain a healthy ecosystem.
New opportunities for discourse studies
Authors: Brown Katy 
Published: February 2024

Abstract
This paper proposes a methodological framework that integrates poststructuralist Discourse Theory (DT), Critical Discourse Studies (CDS) and Corpus Linguistics (CL). While previous research has discussed potential compatibility between combinations of these approaches, there have been few attempts to bring them all together into a cohesive research programme. Fostering dialogue between diverse methodological perspectives can facilitate multi-level analysis to capture the complex dynamics of sociopolitical issues. In this vein, the article presents the methodological tree, an analogy used to illustrate how these traditions may come together to complement one another. This foundation lays the groundwork for practical application in discursive analysis, with a flexible analytical structure proposed and examples provided to illustrate its implementation. It is hoped that the article can stimulate further discussion around how DT, CDS and CL can be brought together to harness their strengths.
The distributional properties of prefixes influence lexical decision latencies
Authors: Maziyah Mohamed Mirrah , Jared Debra 
Published: February 2024

Abstract
Morphological processing has been extensively studied in English and European languages, but there is a growing
interest in extending the research to other languages. Here we examined Malay, an Austronesian language that is morphologically
rich. We investigated the effects of morphological constituents on lexical decisions for prefixed words. Specifically, we explored
whether readers are sensitive to any distributional properties of the prefix and root morphemes. Variables investigated included
length and family size for both prefixes and roots, as well as number of allomorphs, consistency, and productivity for prefixes.
Decision latencies were collected for 1,280 Malay words of various morphological structures. Data from the 640 prefixed words were
analyzed in a series of GAMM models. We observed a facilitative effect of root family size and an effect of several distributional
properties of prefixes on decision latencies after accounting for word frequency and length. Furthermore, a larger interaction
between frequency and several distributional properties of prefixes was found for words with three-letter prefixes than for those
with two-letter prefixes. These findings provide insight into the types of distributional properties to which Malay readers are
sensitive in multimorphemic words.
Production of charmonium pentaquarks from b-baryon and B-meson decays: SU(3) analysis*
Authors: Han 韩 Wei-Hao 伟毫 , Xing 邢 Ye 晔 , Xu 徐 Ji 吉 
Published: February 2024

Abstract
Here, we study the production of charmonium pentaquarks

from bottom baryon and B-meson decays under the flavor

symmetry. Decay amplitudes for various processes are parameterized in terms of

irreducible nonperturbative amplitudes. Numerous relations between decay widths are deduced. Moreover, the strong decays of pentaquarks are considered. Our results can be tested in future measurements at LHCb, Belle II, and CEPC. Once decay branching fractions are measured, this study will be useful for the exploration of new decay channels and pentaquark states.
Analysis of geometric uncertainties in 3D thermo-fluid problems solved by RBF-FD meshless method
Authors: Zamolo R , Miotti D , Nobile E 
Published: February 2024

Abstract
The tolerances of production processes can lead to uncertainties in the behaviour and in the features of the manufactured products. From the point of view of the design of engineering components it is therefore of valuable practical interest to be able to quantify such uncertainties as well as the expected, i.e., averaged, performances. Such uncertainty quantification is carried out in this work by means of the Non-Intrusive Polynomial Chaos (PC) method in order to estimate the propagation of geometrical uncertainties of the boundaries, i.e., when the boundaries are described by stochastic variables. Existing deterministic solvers can be used with the PC method because of its non-intrusive formulation, allowing an accurate and practical prediction of the random response through a simple set of deterministic response simulations. The Radial Basis Function Finite Differences (RBF-FD) method is employed as a black box solver for the computation of the required set of responses defined over deterministic boundaries. The RBF-FD method belongs to the class of meshless methods which do not require a computational mesh/grid, therefore its main capability is to easily deal with practical problems defined over complex-shaped domains. The geometrical flexibility of the RBF-FD method is even more advantageous when coupled to the Non-Intrusive PC method for uncertainty quantification since different deterministic solutions over different geometries are required. The applicability of the proposed approach to practical problems is presented through the prediction of geometric uncertainty effects for a steady-state forced convection problem in a 3D complex-shaped domain.
Effect of closed-loop nanochannels on the onset of explosive boiling: a molecular dynamics simulation study
Authors: Fallahzadeh R , Bozzoli F , Cattani L 
Published: February 2024

Abstract
As a primary boiling mode, explosive boiling has shown a promising future in many applications and received much research attention. The topology of the solid surface in contact with the liquid, particularly nanostructured surfaces, significantly affects the onset time of explosive boiling of a liquid nanofilm. Most studies investigated explosive boiling on non-closed-loop (parallel) nanochannel surfaces. Here, for the first time, explosive boiling in a closed-loop nanochannel was studied by the non-equilibrium molecular dynamics simulation method. Explosive boiling of liquid argon nanofilm on solid copper surfaces with different topologies, including an ideally smooth, a non-closed-loop, and a closed-loop nanochannel, was simulated. The results showed that, compared with the ideally smooth surface, the onset time of explosive boiling decreased for the non-closed-loop and closed-loop nanochannel surfaces. However, it turned out that compared to the non-closed-loop nanochannel, using the closed-loop nanochannel has an adverse effect on heat flux and the onset time of explosive boiling.
Experimental validation of a heat exchanger model for thermoacoustic applications
Authors: Di Meglio A , Massarotti N , Piccolo A 
Published: February 2024

Abstract
Thermoacoustics is a promising technology for energy conversion purposes. Among the bottlenecks limiting a large diffusion of thermoacoustic devices, there are heat exchangers, whose behaviour in oscillatory flows is rather different than those working in stationary flows. Furthermore, the classical linear acoustic theory in the frequency domain cannot predict with high-fidelity the thermo-fluid dynamics of such heat exchangers. In this article, a CFD model based on a standing wave device including a parallel plate heat exchanger is proposed. The setup is inspired by a similar prototype of a thermoacoustic engine in which the performance of the ambient heat exchanger was tested. The results of the CFD model are therefore compared, in terms of the temperature difference between fluid and solid wall in the heat exchanger, average heat flux and Nusselt number, with experimental data showing a satisfying agreement.
A 3D numerical model for the performance analysis of a differential pressure flow meter in transient conditions for liquid fuels
Authors: Canale C. , Arpino F. , Cortellessa G. , Ficco G. , Grossi G. , Huovinen M. , Karvinen A. 
Published: February 2024

Abstract
In the present paper, the metrological performance of a single-hole, sharped edge, and the orifice flow meter is numerically investigated employing different liquid fuels. Numerical investigations have been performed for a three-dimensional transient flow. Turbulence has been modeled employing the Realizable K-ε turbulence model, based on the Unsteady Reynolds-averaged Navier-Stokes (URANS). The present work is conducted in the context of the European SAFEST 20IND13 project, aimed at investigating the performance of the orifice flow meter numerical model in a wide range of temperatures, density, viscosity, and different liquid fuels. The numerical model, validated according to the ISO standard 5167-2 is employed to analyze the metrological performance of a test rig available at project partners’ laboratories and was aimed at reproducing the fuel consumption curve of a light and heavy transport vehicle.
Numerical modelling of an electric motor cooling jacket
Authors: Grespan M , Campanelli L , Angeli D , Freddi R 
Published: February 2024

Abstract
The automotive industry is amid a sweeping change of propulsion technology to meet the increasingly stringent limits on emissions and fuel consumption. Traditional combustion engines are gradually being replaced by electric motors or hybrid power trains. The efficiency and power density levels achievable by electric motors are entirely dependent on the effectiveness of the employed cooling solution. Therefore, extensive analyses are needed to determine and optimise the thermal performance of these systems. In this work a numerical model is developed to determine the friction losses and the heat transfer properties of an electric motor cooling jacket. The cooling channels, which coil along the circumferential direction within the motor casing, are studied by means of CFD analysis of a basic periodic module. Flow and temperature fields are determined by applying a 3D Finite Volume approach. Numerical solutions are obtained by means of a validated conjugate heat transfer solver. Integral flow field results are employed to derive the equivalent Darcy friction factor and side-wall specific Nusselt numbers for several flow regimes. A lumped parameter thermal model, based on the graph theory and aforementioned CFD results is also developed to determine the overall system performance. The equivalent thermal resistances are computed from geometric parameters and CFD results. Finally preliminary numerical results on friction losses and heat transfer are compared with available experimental data.
Combined Experimental and Numerical Approach for the Thermal Heat Exchange Investigation of Li-Ion Cells for Automotive Applications
Authors: Karaca C. , Baldinelli G. , Postrioti L. , Scrucca F. 
Published: February 2024

Abstract
Lithium-ion (Li-ion) battery is an advanced technology in the field of electrochemical energy storage, but its management constitutes one of the most intriguing challenges for electric vehicles. Many parameters need to be controlled and managed and many aspects need to be optimised. This work presents a methodology for laboratory characterization of Nickel Manganese Cobalt (NMC) Lithium-Ion batteries suited for automotive applications. The purpose consists of obtaining a detailed description of the electrical and thermal behaviour of a single battery cell to provide an accurate model (static, dynamic, and thermal) that could ensure optimized real-time battery management by a management system for several battery packs. A battery testing system was built using a bidirectional power supply and a software/hardware interface was implemented within the National Instruments LabVIEW environment that monitors current, voltage and temperature sensors. This dedicated laboratory equipment can be used to apply and report charging/discharging cycles according to the user-defined load profile. A bidimensional CFD dynamic condition/transient simulation in the Ansys FLUENT environment was performed to study the heat thermal fluxes generated by a determined current value in the battery cells, and the results have been compared to the experimental data for validation.