bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management zone classification for variable-rate soil residual herbicide applications
Authors: Vagedes Rose V , Ackerson Jason P , Johnson William G , Young Bryan G 
Published: March 2024

AbstractThe use of soil residual herbicides, along with other practices that diversify weed management strategies, have been recommended to improve weed management and deter the progression of herbicide resistance. Although soil characteristics influence recommended application rates for these herbicides, the common practice is to apply a uniform dose of soil residual herbicides across fields with variable soil characteristics. Mapping fields for soil characteristics that dictate the optimal dose of soil residual herbicides could improve the efficiency and effectiveness of these herbicides, as well as improve environmental stewardship. The objectives of this research were to develop and quantify the accuracy of management zone classifications for variable-rate residual herbicide applications using multiple soil data sources and soil sampling intensities. The maps were created from soil data that included (i) Soil Survey Geographic database (SSURGO), (ii) soil samples (SS), (iii) soil samples regressed onto soil electrical conductivity (EC) measurements (SSEC), (iv) soil samples with organic matter (OM) data from SmartFirmer® (SF) sensors (SSSF), and (v) soil samples regressed onto EC measurements plus OM data from SmartFirmer® sensor (SSECSF). A modified Monte Carlo cross validation method was used on ten commercial Indiana fields to generate 36,000 maps across all sources of spatial soil data, sampling density, and three representative herbicides (pyroxasulfone, s-metolachlor, and metribuzin). Maps developed from SSEC data were most frequently ranked with the highest management zone classification accuracy compared to maps developed from SS data. However, SS and SSEC maps concurrently had the highest management zone classification accuracy of 34% among maps developed across all fields, herbicides, and sampling intensities. One soil sample per hectare was the most reliable sampling intensity to generate herbicide application management zones compared to one soil sample for every 2 or 4 hectares. In conclusion, soil sampling with ECadata should be used for defining the management zones for variable-rate (VR) residual herbicide applications.
Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects
Authors: Perianes-Rodríguez Antonio , Olmeda-Gómez Carlos , Delbianco Natalia R. , Grácio Maria Cláudia Cabrini 
Published: March 2024

AbstractAlthough funding acknowledgements (FAs) have been around for nearly three decades, there are not yet enough theoretical and practical studies of them to enable FAs to be considered a consolidated area of research. Fortunately, newly published findings and promising data sources presented in recent years have helped better our understanding of the process of scientific creation and communication and provide evidence of the importance of FAs. This paper seeks to help demonstrate the crucial role FAs play in evaluating research funding’s performance. A methodology based on the use of linked open metadata from diverse sources is presented for this purpose. The methodology highlights the important work analysts do to increase the accuracy, solidity, and diversity of the results of FA-based quantitative studies by gathering and analysing the data furnished by funding organisations. Lastly, the projects funded by the Spanish National Science and Research Agency from 2008 to 2020 are evaluated to verify the method’s usefulness, robustness, and reproducibility. Also, a new unit of analysis is introduced, funders, to create a new type of co-occurrence network: co-funding. In conclusion, funding agencies’ experts and analysts will find that this methodology gives them a valuable instrument for boosting the quality and efficacy of their activities, complying with transparency and accountability requirements, and quantifying the scope of funding results.
Combining Carbon Nanoparticle Coatings and Laser Surface Texturing for Enhanced Lubricity Under High Loads
Authors: MacLucas T. , Grützmacher P. G. , Leonhard-Trautmann P. , Suarez S. , Gachot C. , Mücklich F. 
Published: March 2024

AbstractDeveloping new lubrication concepts greatly contributes to improving the energy efficiency of mechanical systems. Nanoparticles such as those based on carbon allotropes or 2D materials have received widespread attention due to their outstanding mechanical and tribological performance. However, these systems are limited by a short wear life. Combining nanoparticle coatings with laser surface texturing has been demonstrated to substantially improve their durability due to the reservoir effect which prevents immediate particle removal from the contact. In this study, we investigate the high-load (20 N) tribological performance of AISI 304 austenitic stainless-steel substrates, which are line-patterned by laser interference patterning and subsequently coated with different carbon nanoparticle coatings (carbon nanotubes, carbon onions, carbon nanohorns) against alumina and 100Cr6 counter bodies. In addition to that, benchmark testing is performed with conventional solid lubricant coatings (graphite, MoS2, WS2). Electrophoretic deposition is used as the main coating technique along with air spraying (for WS2). All coatings substantially improve friction compared to the purely laser-patterned reference. Among all coating materials, carbon nanotubes demonstrate superior lubricity and the longest wear life against 100Cr6 and alumina counter bodies. Detailed characterization of the resulting wear tracks by energy-dispersive X-ray spectroscopy, scanning electron microscopy, and confocal laser scanning microscopy provides insights into the friction mechanisms of the various solid lubricant particles. Further, material transfer is identified as an important aspect for effective and long-lasting lubrication.
Lehrkräftefortbildungen im Kontext digitaler Medien: Welche Bedeutung haben digitalbezogene Fortbildungsthemen für selbsteingeschätzte digitale Kompetenzen und selbstberichtetes digital gestütztes Unterrichtshandeln?
Authors: Runge Isabell , Scheiter Katharina , Rubach Charlott , Richter Dirk , Lazarides Rebecca 
Published: March 2024

ZusammenfassungLehrkräftefortbildungen sind entscheidend für die Weiterentwicklung professioneller Kompetenzen von Lehrkräften sowie für qualitätsvolles Unterrichtshandeln. Studien verweisen auch auf die Bedeutsamkeit von Fortbildungen, die sich mit digitalbezogenen Themen befassen. Wenige Befunde existieren allerdings darüber, ob und wie die digital gestützte Unterrichtsgestaltung oder digitale Kompetenzen von Lehrkräften abhängig vom Fortbildungsthema variieren. Vor diesem Hintergrund untersucht die vorliegende Studie Zusammenhänge zwischen verschiedenen digitalbezogenen Fortbildungsthemen, selbsteingeschätzten digitalen Kompetenzen von Lehrkräften sowie selbstberichtetem digital gestütztem Unterrichtshandeln. Dabei wurden Daten von 219 Lehrkräften aus einer Onlinebefragung von Anfang des Jahres 2023 ausgewertet, in welcher sie angaben, welche Fortbildungen zu digitalbezogenen Themen sie besucht haben. Es wurden querschnittliche Pfadmodelle in Mplus durchgeführt, welche verdeutlichen, dass Lehrkräfte insbesondere dann digitale Medien häufig zur kognitiven Aktivierung sowie konstruktiven Unterstützung einsetzten, wenn sie angaben, digitalbezogene Fortbildungen besucht zu haben, die technologische mit pädagogischen Inhalten kombinierten. Zudem konnte anhand indirekter Effekte gezeigt werden, dass die selbsteingeschätzten digitalen Kompetenzen von Lehrkräften (TPACK) die Zusammenhänge zwischen der Teilnahme an Fortbildungen zu den Themen „Aktive Medienarbeit“, „Computergestützte Förderung der Schülerinnen und Schüler“ und „Fachspezifische Unterrichtsentwicklung mit digitalen Medien“ und der selbstberichteten digital gestützten Unterrichtsqualität vermittelten. Aus den vorliegenden Ergebnissen werden praktische Implikationen für die Lehrkräftefortbildung im Bereich der Digitalisierung abgeleitet.
Dealcoholized Wine: A Scoping Review of Volatile and Non-Volatile Profiles, Consumer Perception, and Health Benefits
Authors: Kumar Yogesh , Ricci Arianna , Parpinello Giuseppina Paola , Versari Andrea 
Published: March 2024

AbstractThe dealcoholization technique has gained more attention in the wine industry as it can significantly influence wine compositions and quality beyond alcohol level reduction. However, the changes occurring in the various processes of dealcoholization are not fully understood yet. This work summarizes the literature published in the last 10 years (2013–2023) about changes in color, sulfur dioxide (SO2), phenolic composition, losses of desirable volatile aroma compounds, and sensory characteristics of wine after the removal of ethanol by different processes/techniques. Several factors can influence the final characteristics of wine during the process, including physico-chemical parameters such as the initial alcohol level, the retention properties of the wine non-volatile matrix, and the characteristics of aroma components. Additionally, the quality of dealcoholized wine can be affected by the choice of dealcoholization techniques, distillation temperature, operating pressure, and membrane properties, including filtration and pore size. Low- and zero-alcohol products have the potential to expand the market and cater to diverse consumer segments. This comprehensive review would help winemakers in choosing the best techniques to produce dealcoholized wine, limiting the adverse effects, and meeting the needs of consumers.
Advancements in Quantum Computing—Viewpoint: Building Adoption and Competency in Industry
Authors: Pfaendler Sieglinde M. -L. , Konson Konstantin , Greinert Franziska 
Published: March 2024

AbstractThe narrative around quantum computing is evolving quickly. First reports of quantum computers able to solve certain scientific problems on-par with the precision of High-Performance Computers are persuading end-users and industry leaders to shift from passive observation to active exploration. Insights are provided here to enable organization and technology leaders in the database and data science community an entry into the field of quantum computing. This article provides an introduction of key concepts, insights into the rapid advancement of the state-of-the-art, an overview of how companies in Germany are approaching the development of competency and adoption of quantum computing, including an overview of European activities and learning materials in the German language.
Structural Engineering of Anode Materials for Low-Temperature Lithium-Ion Batteries: Mechanisms, Strategies, and Prospects
Authors: Wang Guan , Wang Guixin , Fei Linfeng , Zhao Lina , Zhang Haitao 
Published: March 2024

AbstractThe severe degradation of electrochemical performance for lithium-ion batteries (LIBs) at low temperatures poses a significant challenge to their practical applications. Consequently, extensive efforts have been contributed to explore novel anode materials with high electronic conductivity and rapid Li+ diffusion kinetics for achieving favorable low-temperature performance of LIBs. Herein, we try to review the recent reports on the synthesis and characterizations of low-temperature anode materials. First, we summarize the underlying mechanisms responsible for the performance degradation of anode materials at subzero temperatures. Second, detailed discussions concerning the key pathways (boosting electronic conductivity, enhancing Li+ diffusion kinetics, and inhibiting lithium dendrite) for improving the low-temperature performance of anode materials are presented. Third, several commonly used low-temperature anode materials are briefly introduced. Fourth, recent progress in the engineering of these low-temperature anode materials is summarized in terms of structural design, morphology control, surface & interface modifications, and multiphase materials. Finally, the challenges that remain to be solved in the field of low-temperature anode materials are discussed. This review was organized to offer valuable insights and guidance for next-generation LIBs with excellent low-temperature electrochemical performance.
Visible light-induced H2 production and pollutant degradation by copper oxide nanosphere embedded zinc-cadmium-sulfide composite
Authors: Imran Muhammad , Yousaf Ammar Bin , Farooq Muhammad , Kausar Samaira , Yasmeen Samina , Kasak Peter 
Published: March 2024

AbstractGreen hydrogen production using solar water splitting and solving water pollution issues are intricately intertwined global goals which are hindered by the scarcity of highly active photocatalytic materials. Herein, we have presented a simple strategy to couple two semiconductors (Cu2O and ZnCdS) to form a type-I heterojunction with high visible light response. The as-synthesized heterojunction was well characterized by the battery techniques, such as TEM, HAADF-STEM elemental mapping, XRD and XPS. The visible light response was higher for composite than individual components, as was also supported by UV–vis DRS. The Cu2O-ZnCdS composite showed a higher visible light-driven photocatalytic H2 production rate (78.5 µmol g–1 h–1). The catalyst was also active for photocatalytic degradation of a model dye-methylene blue (MB)-with a degradation rate constant of 0.079 min−1. The enhanced performance of the Cu2O-loaded ZnCdS catalysts can be ascribed to both factors, such as enhancement of the visible light absorption and the growth of Cu2O-ZnCdS heterojunction. The heterojunction formation facilitates efficient charge separation with smaller charge resistance, as evidenced by transient photocurrent response and electrochemical impedance spectroscopy (EIS) studies. This study strongly indicates that the photocatalytic reactions with this catalyst material are kinetically favoured by coupling the two semiconductors.
Graphical abstract
Application of Ultrasound Image Velocimetry (UIV) to cohesive sediment (fluid mud) flows
Authors: Brouwers Bart , van Beeck Jeroen , Lataire Evert 
Published: March 2024

AbstractUltrasound image velocimetry (UIV) is a technique that enables non-intrusive whole-flow field velocimetry measurements in opaque fluids. It gained interest in experimental fluid dynamics to study the flow mechanics of, amongst others, sediment-laden fluids. Further customisation of this technique is required to make it a reliable asset for experimental research involving high density cohesive sediments (fluid mud). Potential applications include rheological or settling experiments or experiments serving nautical research on the interaction between a ship, water and fluid mud forming the bottom of the navigation channel. This study presents experiments to validate the applicability of UIV in such dense cohesive sediments exhibiting non-Newtonian and thixotropic behaviour. During these experiments, an ultrasound transducer was moved through stationary mud at known velocities. Due to the viscosity of the mud, the zone of influence of the moving transducer is limited in depth. This enables the recording of the relative velocity between moving transducer and the undisturbed mud at greater depths. Medical ultrasound imaging equipment was used, as such equipment allows ultrasound imaging in the required frequency range and frame rate. A good correlation (accuracy $$>95$$

>
95

%) was found between the imposed motion velocity of the transducer and the output of UIV. However, limitations were found in both depth and velocity, caused by the equipment, settings and mud properties.
Abundant soliton solution for the time-fractional stochastic Gray-Scot model under the influence of noise and M-truncated derivative
Authors: Baber Muhammad Zafarullah , Ahmed Nauman , Yasin Muhammad Waqas , Ali Syed Mansoor , Ali Mubasher , Akgül Ali , Hassani Murad Khan 
Published: March 2024

AbstractIn this study, we investigate the abundant soliton solutions for the time-fractional stochastic Gray-Scot (TFSGS) model analytically. The Gray-Scot model is considered under the influence of M-truncated derivative and multiplicative time noise. This is a reaction–diffusion chemical concentration model that explains the irreversible chemical reaction process. The M-truncated derivative is applied for the fractional version while Brownian motion is taken in the sense of time noise. The novel mathematical technique is used to obtain the abundant families of soliton solutions. These solutions are explored in the form of shock, complicated solitary-shock, shock-singular, and periodic-singular types of single and combination wave structures. During the derivation, the rational solutions also appear. Moreover, we use MATHEMATICA 11.1 tools to plot our solutions and exhibit several three-dimensional, two-dimensional, and their corresponding contour graphs to show the fractional derivative and Brownian motion impact on the soliton solutions of the TFSGS model. We show that the TFDGS model solutions are stabilized at around zero by the multiplicative Brownian motion. These wave solutions represent the chemical concentrations of the reactants.
Architecting the future: exploring the synergy of AI-driven sustainable HRM, conscientiousness, and employee engagement
Authors: Jia Xiao , Hou Yanghong 
Published: March 2024

AbstractThis study investigates the interrelations between AI-Driven Sustainable Human Resource Management (HRM), Employee Engagement, Employee Performance, and Conscientiousness Personality, through a survey of 470 employees in Chinese enterprises. Integrating Ability-Motivation-Opportunity (AMO) and Person-Organization (P-O) Fit theories, the research introduces a comprehensive model. Our findings suggest that Artificial Intelligence-Driven Sustainable HRM positively influences Employee Engagement, leading to enhanced performance. Moreover, Conscientiousness Personality serves as a critical moderating factor between AI-Driven Sustainable HRM and Employee Engagement. This study provides a theoretical perspective on the integration of AI-Driven Sustainable HRM and Employee Engagement in Chinese enterprises, uncovering a mediating and moderating mechanism. Through this mechanism, AI-Driven Sustainable HR practices contribute to employee engagement and performance, particularly for those with a high level of conscientiousness.
Cancer-triggered systemic disease and therapeutic targets
Authors: Cao Yihai 
Published: March 2024

AbstractCancer provokes systemic diseases through three possible mechanisms: 1) Distal metastasis in multiple tissues and organs, which directly causes functional damage and impairment of involved organs; 2) Paraneoplastic syndrome (PNS) that affects multiple organ systems, including the endocrine, gastrointestinal, hematologic, neurologic, dermatologic, and ophthalmologic systems; and 3) Cancer cachexia (CCA) or self-wasting syndrome characterized by anorexia, progressive bodyweight loss, adipose atrophy, and muscle atrophy. While cancer metastasis has received considerable attention for comprehensive research, PNS and CCA remain relatively overlooked. At the time of this writing, effective treatments of PNS and CCA in human cancer patients are lacking. This review focuses on discussing mechanistic insights into PNA and CCA and current advances in development of new possible therapeutic interventions.
Measure transfer and S-adic developments for subshifts
Authors: BÉDARIDE NICOLAS , HILION ARNAUD , LUSTIG MARTIN 
Published: March 2024

AbstractBased on previous work of the authors, to any S-adic development of a subshift X a ‘directive sequence’ of commutative diagrams is associated, which consists at every level
$n \geq 0$
of the measure cone and the letter frequency cone of the level subshift
$X_n$
associated canonically to the given S-adic development. The issuing rich picture enables one to deduce results about X with unexpected directness. For instance, we exhibit a large class of minimal subshifts with entropy zero that all have infinitely many ergodic probability measures. As a side result, we also exhibit, for any integer
$d \geq 2$
, an S-adic development of a minimal, aperiodic, uniquely ergodic subshift X, where all level alphabets
$\mathcal A_n$
have cardinality
$d,$
while none of the
$d-2$
bottom level morphisms is recognizable in its level subshift
$X_n \subseteq \mathcal A_n^{\mathbb {Z}}$
.
Reconceiving Christianity and the Modern Prison: On Evangelicalism’s Eugenic Logic and Mass Incarceration
Authors: Sexton Jason S. 
Published: March 2024

AbstractIn the aftermath of World War II, eugenics and the pseudoscientific base used to justify its practices are generally understood to have phased off the scene. If, however, eugenics never actually disappeared but has been persistent, and in turn becomes one of the best explanations for mass incarceration today, what role did Christianity—especially Evangelicalism—play in this unprecedented moment of imprisonment? Building on legal scholarship identifying the significant role of eugenic philosophy that manifests in penal policy and ongoing phenomena into the early twenty-first century, this article examines key figures in the backdrop of eugenics’ particular early developments, and leading figures—namely, Billy Graham and Prison Fellowship’s Chuck Colson—whose ministries operated in close proximity to the prison during the latter twentieth century and especially over the past fifty years as incarceration rates skyrocketed. After examining several important theological tenets reflected within Evangelicalism that are compatible with eugenic logic, a critical approach is developed drawing from more robust theological considerations that if appropriated earlier might have found evangelicals resisting the mass incarceration building efforts rather than supporting them.
Cryogenic features and stages in Late Quaternary subaerial sediments of the Lower Volga region
Authors: Taratunina N.A. , Kurbanov R.N. , Rogov V.V. , Streletskaya I.D. , Yanina T.A. , Solodovnikov D.A. , Stevens T. 
Published: March 2024

AbstractSituated at the southernmost limits of the late Pleistocene Eurasian permafrost zone, the loess–paleosol sequences of the Lower Volga region contain numerous traces of cryogenesis. Cryogenic features are represented by thin vertical wedges in loess and paleosols, and involutions and wedges in alluvial deposits. Here we describe and interpret four stages of cryogenesis during the late Pleistocene, based on analysis of cryogenic structure morphology, morphoscopy of quartz grains, and micromorphology of subaerial sediments, in addition to calculation of the Cryogenic Weathering Index and a new luminescence chronology derived from published ages. These stages differ in type and distribution of cryostructures and formed in different paleogeographic conditions. Stage I, dated 95–90 ka (Marine Isotope Stage [MIS] 5b), is characterized by the existence of continuous permafrost in northern part of the Lower Volga valley. Stage II (75–70 ka, MIS 5a/MIS 4) is characterized by dry and cold conditions and widespread permafrost. During stage III (52–45 ka, MIS 3b/c), the permafrost was thin and of sporadic distribution. Stage IV (37–35 ka, MIS 3a) is characterized by thin and rare sporadic permafrost. The processes of cryogenic transformation of sediments in the region during these stages took place under both permafrost and seasonal frost conditions. The results obtained significantly improve current understanding of the extent of the permafrost in the south of the East European Plain during the late Pleistocene.
CONJECTURES AND OBSERVATIONS ON CATULLUS 63
Authors: Hockings T.A.J. 
Published: March 2024

AbstractThis article discusses textually problematic passages in Catullus 63, a particularly corrupt poem from a particularly corrupt manuscript tradition. It proposes new conjectures and revives several old ones. Throughout there are notes on punctuation, conjecture attribution and an analysis of the structure of Attis’ lament.