bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic value of T1- and T2-weighted 3-Tesla MRI for postmortem detection and age stage classification of myocardial infarction
Authors: Gascho Dominic , von Allmen Alexandre , Landsmann Anna , Hünermund Tobias , Tappero Carlo , Thali Michael J. , Deininger-Czermak Eva 
Published: March 2023

AbstractThe aims of this study are to retrospectively evaluate the diagnostic value of T1- and T2-weighted 3-T magnetic resonance imaging (MRI) for postmortem detection of myocardial infarction (MI) in terms of sensitivity and specificity and to compare the MRI appearance of the infarct area with age stages. Postmortem MRI examinations (n = 88) were retrospectively reviewed for the presence or absence of MI by two raters blinded to the autopsy results. The sensitivity and specificity were calculated using the autopsy results as the gold standard. A third rater, who was not blinded to the autopsy findings, reviewed all cases in which MI was detected at autopsy for MRI appearance (hypointensity, isointensity, hyperintensity) of the infarct area and the surrounding zone. Age stages (peracute, acute, subacute, chronic) were assigned based on the literature and compared with the age stages reported in the autopsy reports. The interrater reliability between the two raters was substantial (κ = 0.78). Sensitivity was 52.94% (both raters). Specificity was 85.19% and 92.59%. In 34 decedents, autopsy identified an MI (peracute: n = 7, acute: n = 25, chronic: n = 2). Of 25 MI classified as acute at autopsy, MRI classified peracute in four cases and subacute in nine cases. In two cases, MRI suggested peracute MI, which was not detected at autopsy. MRI could help to classify the age stage and may indicate the area for sampling for further microscopic examination. However, the low sensitivity requires further additional MRI techniques to increase the diagnostic value.
Quantifying the asymmetric and dependence structure between financial inclusion and energy efficiency: evidence from quantile methods
Authors: Pata Ugur Korkut , Fareed Zeeshan 
Published: March 2023

AbstractImproving
energy efficiency is one of the most effective ways to combat climate change and global warming. Financial inclusion can facilitate the financing of energy-efficient technologies and environmental awareness programs. In this context, this study aims to investigate the asymmetric and causal relationships between financial inclusion and energy efficiency in the ten most energy-efficient countries over the period 1980q1–2018q4. For this purpose, the quantile-on-quantile approach, quantile regression, and quantile Granger causality test are applied in this study. The findings demonstrate that financial inclusion has a negative impact on energy intensity across all quantiles. Energy intensity also reduces financial inclusion. However, this effect is attenuated at higher quantiles. Moreover, all countries have bidirectional causality between financial inclusion and energy efficiency. Given these results, the study suggests that financial inclusion is an important determinant of energy efficiency and that financial conditions should be considered when implementing energy policies. This study will be conducive for policymakers to implement financial development strategies for investing in clean technologies to increase energy efficiency and solve environmental issues.
Efficacy of supply chain relationships – differences in performance appraisals between buyers and suppliers
Authors: Qian Chen , Dion Paul A. , Wagner Ralf , Seuring Stefan 
Published: March 2023

AbstractThis paper examines the efficacy of three supply chain relationship factors: trust, commitment, and relationship specific investment (RSI) in affecting firms’ cooperation, innovation and financial performance, comparing buyers’ and suppliers’ perspectives. A questionnaire survey was conducted in mainland China. Two independent samples with 101 and 108 responses respectively from the Chinese business buyers and suppliers were collected by visiting nine large annual exhibitions. Both samples involved buyer–supplier business relationships across three business markets: textiles, food, and consumer electronics. The data was analysed using structural equation modelling and a two-groups invariance test. The results indicate that the efficacies of trust, commitment, and RSI influencing buyers’ and suppliers’ performance are different. The paths from the relationship factors leading to performance form patterns that differ between buyers and suppliers in the Chinese business context. While trust and RSI are the direct antecedents of buyers’ cooperation performance, commitment is the immediate precursor of suppliers’ cooperation performance. Trust and commitment lead to buyer’s innovation performance directly, while RSI is a direct driver of supplier’ innovation performance. In addition, RSI is not a significant factor for buyers’ financial performance, whereas it will generate financial return for suppliers. Based on these findings, we provide differentiated relationship management suggestions to managers of buying and supplying firms for helping them improve performance in the Chinese business market in particular. For example, trust and commitment are more important relationship factors than RSI for buying firms, while RSI is as significant as trust and commitment for supplying firms.
Physical and psychological challenges faced by military, medical and public safety personnel relief workers supporting natural disaster operations: a systematic review
Authors: Ein Natalie , Plouffe Rachel A. , Liu Jenny J. W. , Gervasio Julia , Baker Clara , Carleton R. Nicholas , Bartels Susan A. , Lee Jennifer E. C. , Nazarov Anthony , Richardson J. Don 
Published: March 2023

AbstractNatural disasters, including floods, earthquakes, and hurricanes, result in devastating consequences at the individual and community levels. To date, much of the research reflecting the consequences of natural disasters focuses heavily on victims, with little attention paid to the personnel responding to such disasters. We conducted a systematic review of the challenges faced by military, medical and public safety personnel supporting natural disaster relief operations. Specifically, we report on the current evidence reflecting challenges faced, as well as positive outcomes experienced by military, medical and public safety personnel following deployment to natural disasters. The review included 382 studies. A large proportion of the studies documented experiences of medical workers, followed by volunteers from humanitarian organizations and military personnel. The most frequently reported challenges across the studies were structural (i.e., interactions with the infrastructure or structural institutions), followed by resource limitations, psychological, physical, and social challenges. Over 60% of the articles reviewed documented positive or transformative outcomes following engagement in relief work (e.g., the provision of additional resources, support, and training), as well as self-growth and fulfillment. The current results emphasize the importance of pre-deployment training to better prepare relief workers to manage expected challenges, as well as post-deployment supportive services to mitigate adverse outcomes and support relief workers’ well-being.
Novel Cellulose/Silica Microspheres as Sustainable and Efficient Adsorbents for Methyl Orange Removal
Authors: Salama Ahmed 
Published: March 2023

AbstractThe effective removal of organic dyes from aqueous solutions is essential for environmental protection and remediation. Hence, methods for fabricating efficient and sustainable adsorbents for removing toxic dyes are urgently desired. Here, new cellulose/silica microspheres containing amino groups were prepared and applied as functional materials for capturing anionic pollutants. Tosyl cellulose, which has a high degree of substitution, was prepared from cellulose using an ionic liquid as the solvent. Further, (3-aminopropyl)trimethoxysilane was utilized as a silica precursor to prepare the microhybrids via nucleophilic substitution, followed by the sol–gel process. The fabricated microhybrids exhibited an excellent capacity for methyl orange (MO) adsorption. Furthermore, the effects of different pH values, contact times, and initial dye concentrations on the MO adsorption capacity were evaluated. The Langmuir isotherm and pseudo-second-order kinetic models were effective for modeling the adsorption of MO on the cellulose/silica microspheres. Under the established optimal conditions, the cellulose/silica microspheres exhibited a higher adsorption capacity (588 mg/g) than those in previous reports. Therefore, the proposed cellulose/silica microspheres offer a promising platform for the sustainable development of water-purification systems.
Graphical Abstract
Exploring the perspectives of irradiated sodium alginate on molecular and physiological parameters of heavy metal stressed Vigna radiata L. plants
Authors: Moussa H. R. , Taha Mohamed A. , Dessoky Eldessoky S. , Selem Eman 
Published: March 2023

AbstractHeavy metal (HM) contamination causes severe detrimental effects on plant growth. Irradiated sodium alginate (ISA) has been proposed for enhancing the efficacy and selectivity of metal ion biosorption from plants under HM-toxicity. The present study has been planned to investigate the morphological, molecular, physiological, and regulation of transcript levels of defence mechanisms for alleviation of HM toxicity in Vigna radiata plants by irradiated sodium alginate (ISA). V. radiata L. plants were treated with T0-water (control); TCd-CdCl2 (100 μM); TPb-Pb(NO3)2 (500 μM); TFe-FeSO4 (300 μM), and ISA solution at 75 mg/l as a foliar spray onto leaves. Our results suggested the positive impact of ISA for HM stress mitigation by V. radiata L. plants, through modulatory effects on molecular and physiological attributes. In our study, we evaluated the growth characteristics (plant height, leaf area, total fresh weight and grain weight), pigment contents, photosynthetic efficiency (14CO2-fixation), enzyme activities (nitrate reductase, ribulose-1,5-bisphosphate-carboxylase/oxygenase, and carbonic anhydrases), and macronutrient contents (P, N, and K) in metal-stressed plants. All these attributes were found to be stimulated after ISA application. Also, ISA reduced the total malondialdehyde, free proline, and total phenol content in heavy metal-exposed plants. The transcriptional expression profiling was conducted by examining the expression levels of AtPDR12, AtATM3, AtPCR1, MPK4, MPK6, and AtPDR8 genes that inferred the ISA-mediated detoxification of HMs in V. radiata plants. The data in the present research clearly indicated that treatment with foliar sprays of ISA (75 mg/l) resulted in enhanced tolerance of V. radiata plants against different HM stresses.
Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis
Authors: Labijak-Kowalska Anna , Kadziński Miłosz 
Published: March 2023

AbstractWe consider the problem of measuring the efficiency of decision-making units with a ratio-based model. In this perspective, we introduce a framework for robustness analysis that admits both interval and ordinal performances on inputs and outputs. The proposed methodology exploits the uncertainty related to the imprecise data and all feasible input/output weight vectors delimited through linear constraints. We offer methods for verifying the robustness of three types of outcomes: efficiency scores, efficiency preference relations, and efficiency ranks. On the one hand, we formulate mathematical programming models to compute the extreme, necessary, and possible results. On the other hand, we incorporate the stochastic analysis driven by the Monte Carlo simulations to derive the probability distribution of different outcomes. The framework is implemented in R and made available on open-source software. Its use is illustrated in two case studies concerning Chinese ports or industrial robots.
Palaeoenvironmental conditions for the natural vulcanization of the Eocene “monkeyhair” laticifers from Geiseltal, Germany, as elucidated by Raman spectroscopy
Authors: Lönartz Mara I. , McCoy Victoria E. , Gee Carole T. , Geisler Thorsten 
Published: March 2023

AbstractThe evolutionary history of latex, a widespread chemical defense against insect herbivores, is not fully understood, yet a more detailed understanding of the fossil record of latex could help answer important evolutionary questions. This is, however, hampered by the difficulty of recognizing fossil latex and our still incomplete comprehension of the processes preserving latex. The best-studied fossil latex comes from the middle Eocene Geiseltal lignites in Germany, where fibrous laticifer mats, called “monkeyhair,” are preserved in the severely degraded remains of some ancient trees in the brown coals. Laticifers are specialized elongate cells that carry latex throughout the plant. In previous studies, researchers have hypothesized that these fossil laticifers are preserved through natural low temperature vulcanization of rubber within the latex. Here, we report the results of Raman spectroscopic study on Geiseltal laticifers to identify the vulcanization of natural rubber and on spatially associated carbonaceous material to test various Raman carbon geothermometers for their accuracy for low-thermal-maturity samples. Raman spectra of the fossil laticifers are virtually identical to that of rubber (cis-1,4-polyisoprene) with additional bands demonstrating sulfur vulcanization. Raman spectra from the surrounding lignite and existing Raman-based carbon thermometers, currently calibrated down to about 100 °C, clearly indicate that these samples were never exposed to temperatures higher than the surrounding lignite. These results directly validate the previous hypothesis of fossilization through natural vulcanization. Moreover, this work demonstrates that Raman spectroscopy is a rapid, non-destructive method for reliably identifying and characterizing fossil latex and that further development and calibration of the carbon thermometer may allow quantitative temperature measurements for low-thermal-maturity carbonaceous material.
Phytoremediation: Low input-based ecological approach for sustainable environment
Authors: Singh Himshweta , Pant Gaurav 
Published: March 2023

AbstractIn today's fast-paced society, environmental breakdown is an ecumenical concern. This dilemma is tangled up with the unaccountable anthropogenic activities that are causing significant public health issues. Because of the rapid pace of development, urban soil and water pollution is progressively acting as a sink for a variety of contaminants, including heavy metals, pesticides, petroleum waste, radioactive moieties, etc. Phytoremediation is a low-cost, high-efficient method of extracting or removing pollutants from the environment. Water is transpired by green plants in order to move nutrients from the soil to the site of photosynthesis. During this process, pollutants in the water are also taken up and sequestered, digested, or drained out. This technique has many benefits over conventional approaches which is aesthetically pleasing and has long-term applicability. Phytoremediation could be a viable option to decontaminate heavy metal-polluted sites, particularly when the biomass produced during the process could be economically utilized in the form of bioenergy. Depending on the method used and nature of the contaminant involved, phytoremediating areas where metals and other inorganic compounds exist may utilize one of several techniques as discussed in the present study which are phytodegradation, phytoextraction, phytostimulation, phytostabilization, phytofiltration, phytovolatalization, etc. Phytoremediation is an emerging technology that employs the natural, biological, chemical, or physical processes of plants to remove, detoxify, or immobilize environmental contaminants in a growth matrix. This approach is hence an innovative tool with a great potential to decontaminate soil and water. Phytoremediation is a promising technique for ensuring the sustainability of future generations and reducing pollution.
Comparing Several Different Numerical Approaches for Large Deformation Modeling with Application in Soil Dynamic Compaction
Authors: Hajivand Rashid Dastgerdi , Zamani Mohammad Ahmad Mahmoudi , Knez Dariusz , Kazemi Kamran 
Published: March 2023

AbstractDynamic compaction (DC) is vastly utilized to improve the strength characteristics of the soils. To predict the soil deformations derived from the DC operations, usually numerical simulation analysis is applied. For the conduction of such simulations, several numerical approaches with different elemental formulations can be used. From the perspective of finite element analysis (FEA), there are four main formulations including the Lagrangian, Arbitrary Lagrangian-Eulerian (ALE), Coupled Lagrangian-Eulerian (CEL), and Smoothed Particle Hydrodynamic (SPH). In this research, a comparative study has been conducted to evaluate the computational efficiency of those four approaches in the prediction of soil large deformations during the DC operations. To do this, for a DC operation executed in a road embankment construction project in China, the real field data was compared to the results obtained from the numerical simulations via the ABAQUS program. The findings demonstrate that of all those approaches, the Lagrangian approach delivers the minimum accuracy of the predicted results, albeit with the least running time. In contrast, the ALE formulation predicted closer estimations of soil deformations although it was found to be less time-efficient. Interestingly, the CEL and SPH approaches predicted the soil deformations with the maximum degree of accuracy whereas they were not as time-efficient as the Lagrangian approach. To address this issue, a hybrid model of Lagrangian and SPH formulations was constituted to satisfy the maximum accuracy with the minimum running time. Such a hybrid model is highly applicable for the accurate prediction of soil large deformations during the DC operations.
Prinzipien der Literaturwissenschaft revisited
Authors: Lauer Gerhard 
Published: March 2023

ZusammenfassungAusgehend von Ernst Elsters erster systematischen Bestimmung des Begriffs Literaturwissenschaft geht der Beitrag der Frage nach, inwieweit Literaturwissenschaft als ein Fach aufgefasst werden kann, das nach den Prinzipien der Literatur fragt.
Microstructure, mechanical and thermal properties of YSZ thermal barrier coatings deposited by axial suspension plasma spraying
Authors: Poliarus Olena , Morgiel Jerzy , Żórawski Wojciech , Góral Anna , Pomorska Małgorzata , Wojciechowski Krzysztof T. , Cherniushok Oleksandr 
Published: March 2023

Abstract
Yttrium-stabilized zirconia (YSZ) thermal barrier coatings (TBCs) are indispensable elements of present-day turbine propulsion systems. The ones deposited with atmospheric plasma spraying (APS) are characterized by required low thermal conductivity, but they are unable to survive frequent thermomechanical loading and therefore their application is limited to parts remaining stationary. Expanding capability of TBCs is sought in various areas, but the one realized through modification of most proliferated apparatus used for plasma spraying (PS) (from radial to axial injection) and substituting micrometric powders with the nano-structured suspension needs least changes in the industry established procedures and offers the highest property improvement. The present experiment covered the deposition of ZrO2-8Y2O3 YSZ TBC using both atmospheric and suspension PS processes. They were performed with commercial micrometric and nano-structured YSZ (8% Y2O3) powders. The coatings morphology and microstructure were characterized with 3D profilometry, scanning and transmission electron microscopy (SEM/TEM) methods. Finally, the coating’s hardness and heat conductivity were measured. This complex approach allowed to state that PS of micrometric t’-ZrO2 powder having an admixture of m-ZrO2 phase is capable of only partial improvement in its homogenization. However, the suspension PS process of nano-structured powder eliminated any traces of the monoclinic phase from the coating. The TEM microstructure observations indicated that the suspension PS coating is built by in-flight solidified droplets as well as by the melted ones flattened on arrival. A surface layer of liquefied material on solid droplets increases their adhesion to surface asperities promoting pseudo-columnar growth of the coating. The preservation of monotonic slow increase of thermal conductivity during heating of the suspension PS coating means, that its pseudo-columnar microstructure is better suited to withstand high strains during such treatment.
Analyzing a Cross-Functional Information Technology Project: A Real Application of the Multistage One-Shot Decision-Making Approach
Authors: Al-Shanfari Mohammed 
Published: March 2023

AbstractThis research applies the multistage one-shot decision-making approach (MOSDMA) to a cross-functional information technology project in Oman. This case study is the first to employ the MOSDMA in actual practice. A group of experts re-evaluate the former decision problem using qualitative and quantitative data. The results show the ease and effectiveness of applying the suggested approach in re-evaluating a former decision problem. In addition, it is well recognized that such a scenario-based approach that involves the decision-maker’s mindset can yield confidence in, satisfaction with, and ownership of the decision, irrespective of the future outcomes.
MULTIMOORA Method-Based Schweizer–Sklar Operations for CO2 Geological Storage Site Selection Under Pythagorean Fuzzy Environment
Authors: Yang Yang , Zhang Chao 
Published: March 2023

AbstractThe site selection of CO2 geological storage facilities is essential for the development of safe and efficient carbon capture, utilization, and storage (CCUS) projects. Normally, CO2 geological storage site selection can be regarded as a complex multi-criteria decision-making (MCDM) problem. The aim of this paper is to present an integrated decision-making method for solving the site selection problem for CO2 geological storage. To achieve this goal, this method is based on multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) method and prioritized aggregation operators in Pythagorean fuzzy environment. The academic contributions of this study include: first, some Pythagorean fuzzy Schweizer–Sklar prioritized aggregation (PFSSPA) operators are proposed, which take into account the priority levels of criteria and the risk preferences of decision makers. The excellent properties of these operators are given. Then this study extends the classical MULTIMOORA method based on the developed aggregation operators (named PFSSPA-MULTIMOORA), and the calculation process of this method is described in detail. Subsequently, on the basis of the constructed criteria system, the PFSSPA-MULTIMOORA method is applied to rank the alternatives. Finally, we successfully utilized the PFSSPA-MULTIMOORA method to solve the site selection problem of CO2 geological storage in China. A comparative analysis of existing methods verifies the effectiveness and robustness of the proposed method. This work can provide advanced decision support for researchers and practitioners.