bluuebunny/crossref_metadata_2025 huggingface dataset:
The effects of collective trauma on Iowa farmers, their communities, and sustainability outcomes
Authors: Morris Chris , Arbuckle J.
Published: June 2024

Collective trauma refers to psychological effects that are experienced by a group of people in response to shared traumatic conditions. Farmers represent a unique population that is chronically exposed to potentially traumatic events and conditions particular to the agricultural industry. Farming communities in Iowa have experienced the farm crisis of the 1980s, decades of extreme weather events, rapidly fluctuating markets, trade wars, rising input costs, farm bankruptcies and foreclosures, and high rates of farmer suicides. Exposure to such conditions can potentially have dramatic effects on the people who experience them and the communities they live in. While research exists examining the behavioral health aspects of stress in farmers, no studies have examined the lived experiences of farmers within the framework of collective trauma and its effects on decision-making. To investigate how Iowa farmers perceive their own experiences of these potential types of collective trauma, this study conducted in-depth semi-structured interviews with farmers and farmer-oriented behavioral health experts. Particular focus is placed on how collective trauma affects individual farmers, their families, and their farming communities, as well as how this type of trauma impacts farm management decisions and sustainability outcomes. Qualitative data were analyzed using a grounded theory approach to develop a theoretical framework describing how collective trauma, in the form of environmental, financial, and community threats, impacts farm management decisions and, in turn, affects environmental, economic, and social sustainability outcomes. Potential implications for how agricultural policy can potentially address the effects and systemic causes of trauma are discussed.
E-unitary and F-inverse monoids, and closure operators on group Cayley graphs
Authors: Szakács N.
Published: June 2024

We show that the category of X-generated E-unitary inverse monoids with greatest group image G is equivalent to the category of G-invariant, finitary closure operators on the set of connected subgraphs of the Cayley graph of G. Analogously, we study F-inverse monoids in the extended signature $$(\cdot, 1, ^{-1}, ^\mathfrak m)$$

(
·
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1

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1

,
m

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, and show that the category of X-generated F-inverse monoids with greatest group image G is equivalent to the category of G-invariant, finitary closure operators on the set of all subgraphs of the Cayley graph of G. As an application, we show that presentations of F-inverse monoids in the extended signature can be studied by tools analogous to Stephen’s procedure in inverse monoids, in particular, we introduce the notions of F-Schützenberger graphs and P-expansions.
Revealing pore size distribution in cellulose and lignin-cellulose man-made fibers – effect of draw ratio and lignin content
Authors: Bengtsson Jenny , Johnsson Erica , Ulmefors Hanna , Köhnke Tobias , Maloney Thaddeus
Published: June 2024

There are limited methods available for measurement of the porosity of cellulose fibers, even more so for obtaining a pore size distribution. Conventional pore analysis methods require dry samples, with intact pores. However, pores in cellulose fibers collapse when dried from water and thus present a challenge for sample analysis. Furthermore, the pore collapse is partially irreversible which should be accounted for in the analysis. In this study, analysis of pore structure was carried out in the wet state with thermoporometry and also for critical point dried samples, analyzed with N2 sorption. This study determines the effect of fiber lignin content and certain spinning parameters on the pore size distribution of spun fibers before and after drying. It could also be concluded that solvent exchange, drying from a non-polar solvent will result in an altered pore size distribution, with a total pore volume greater than if dried from water, however not representative of the never-dried state. It is concluded that thermoporometry together with the water retention value (WRV) measurement is a powerful combination to acquire insights to the pore size distribution of spun fiber.
Balancing picking and outbound loading efficiency in an SBS/RS through a digital twin
Authors: Guerrazzi Emanuele , Mininno Valeria , Aloini Davide
Published: June 2024

Warehouses are essential elements of almost every Supply Chain and have a significant impact on its performance. However, existing research on warehouse operations mainly aims at maximizing operational performance, neglecting their effect on downstream nodes. In this paper, we propose the use of a digital twin (DT) to support warehouse managers to identify the picking policy that most effectively balances picking and outbound loading efficiencies in an SBS/RS, with the aim of providing both a cost-effective and timely delivery to the subsequent nodes. The problem is set referring to a real case study of the logistics hub of a tire distributor company. The DT was built and validated based on real data from plant sensors and information systems. Afterwards, the DT was used to define three picking strategies that differently impact on both picking and outbound loading efficiency. The DT was then employed on a daily basis and fed with real orders, machine and rack availability to replicate stocking and picking operations and to directly communicate the recommended picking strategy to the warehouse PLC. Several demand scenarios have been considered to extend managerial inferences. Results show that the DT is a valuable tool to support the balancing of picking and outbound loading performance.
The electrical and dielectric features of Al/YbFeO3/p-Si/Al and Al/YbFe0.90Co0.10O3/p-Si/Al structures with interfacial perovskite-oxide layer depending on bias voltage and frequency
Authors: Coskun M. , Polat O. , Orak I. , Coskun F. M. , Yildirim Y. , Sobola D. , Sen C. , Durmus Z. , Caglar Y. , Caglar M. , Turut A.
Published: June 2024

In this investigation, thin films of YbFeO3, both in its pure form and doped with 10% Co, were fabricated on a p-Si substrate at 500 °C through the radio-frequency magnetron sputtering method. Examination via Scanning Electron Microscopy demonstrated a porous texture for the pure sample, contrasting with a smooth and crack-free surface post-Co doping. Analysis via X-ray photoelectron spectroscopy unveiled Yb’s 3 + oxidation state, alongside the presence of lattice oxygen, oxygen vacancies, and adsorbed oxygen evident in Gaussian fitting curves. Photoluminescence spectroscopy revealed an augmented emission intensity, likely attributed to increased defect initiation in the Co-doped specimen. Moreover, Raman spectroscopy was employed to identify vibration modes in the examined samples, demonstrating shifts in Raman peaks indicative of Co substitution and subsequent distortion in the crystal structure of YbFeO3. Electrical assessments were conducted at room temperature (300 K) under ambient conditions, employing voltage and frequency as variables. Capacitance–voltage measurements illustrated the emergence of an accumulation, with depletion and inversion regions manifesting at different frequencies based on the applied voltage, attributed to the YbFeO3 interfacial layer at the Al and p-Si interface. The conductance-voltage characteristics indicated that the structure exhibited maximum conductance in the accumulation region. Series resistance for these configurations was deduced from capacitance-conductance-voltage measurements, indicating a dependence on both bias voltage and frequency. The doping process led to a reduction in capacitance and series resistance, accompanied by an increase in conductance values. After obtaining corrected capacitance and conductance parameters, it became evident that series resistance significantly influences both parameters. Interface state density (Nss), determined through the Hill-Coleman relation demonstrated a decreasing trend with increasing frequency. The pure sample exhibited higher interface state density compared to the Co-doped sample at each frequency, highlighting that the 10% Co-doped YbFeO3 thin film enhances the quality of the metal–semiconductor interface properties compared to the pure contact.
Influence Match: Can Corporate Lobbying Equalise Political Influence?
Authors: Garcia-Gibson Francisco
Published: June 2024

Some corporations use their disproportionate lobbying power to obstruct policy. This obstructive lobbying violates most people’s claims to equal political influence. Occasionally, however, other corporations respond by using their disproportionate power to lobby in support of policy. Does this supportive lobbying violate claims to equal influence too? This paper argues that it does, using climate policy as an example. Supportive lobbying does not, in many cases, work to cancel out the influence from obstructive corporate lobbying. Moreover, supportive lobbying violates claims to equal influence even in cases where this lobbying helps equalise the distribution of influence, helps equalise the likelihood of congruence between policy and people’s policy preferences, and helps enforce claims to equal influence held by people in the supportive corporation.
A geometrically nonlinear Hellinger–Reissner shell element for the postbuckling analysis of variable stiffness composite laminate structures
Authors: Liguori Francesco S. , Zucco Giovanni , Madeo Antonio
Published: June 2024

Variable stiffness (VS) composite laminates provide larger freedom to design thin-walled structures than constant stiffness (CS) composite laminates. They showed to allow the redistributing of stresses, improving buckling and post-buckling performance and, therefore, reducing material weight and costs. This work extends a recently developed mixed shell element, MISS-4C, to the postbuckling analysis of VS composite laminate structures. MISS-4C has a linear elastic closed-form solution for the stress interpolation of symmetric composite materials. Its stress field interpolation is obtained by the minimum number of parameters, making it an isostatic element. Moreover, its kinematic is only assumed along its contour, leading to an efficient evaluation of all operators obtained through analytical integration along the element contour. MISS-4C uses a corotational approach within a fast multi-modal Koiter algorithm to efficiently obtain the initial post-buckling response of VS composite laminate structures.

First, the element performance is investigated by analysing a carbon fibre VS composite laminate plate subjected to compressive stresses. Numerical results obtained with MISS-4C are compared with those obtained with the MISS-4 element, showing good accuracy and a high convergence rate. Subsequently, the structural response of a glass fibre VS composite laminate girder of a short-length bridge is optimised through a multi-objective optimisation that exploits the robustness of the MISS-4C element and the efficiency of the multi-modal Koiter algorithm.
Does CEO inside debt enhance firms’ access to trade credit?
Authors: Jiang Yucen , Shruti R. , Gupta Jairaj
Published: June 2024

In this study, we investigate whether CEO inside debt, a compensation mechanism designed to align managers’ and debtholders’ interests, plays a role in facilitating firms’ ability to secure higher trade credit from their suppliers. We argue that CEO inside debt offers heightened assurance to trade creditors, resulting in their greater willingness to extend higher levels of trade credit. Firms perceive this as a favourable source of short-term financing compared to traditional bank financing due to its cost-effectiveness and considerably lower barriers to access. Contrary to the previous studies, our empirical analysis encompassing a sample of non-financial firms in the United States reveals a significant positive relationship between CEO inside debt and firms’ ability to secure trade credit. This confirms our assertion that trade credit suppliers’ increased willingness to accept a higher level of risk is driven by the confidence instilled by the CEO inside debt holdings. Furthermore, we show that this relationship is significantly stronger in financially constrained firms, where it serves as a critical assurance mechanism for suppliers of trade credit. Suggesting that CEO inside debt play a key role in sustaining financially constrained firms that are typically neglected by formal lending institutions.
Towards engineering higher quality intelligent environments: a multi case study approach
Authors: Santokhee Adityarajsingh , Augusto Juan Carlos , Brodie Lindsey
Published: June 2024

This study addresses the need to enhance the quality of Intelligent Environments, recognizing their unique characteristics and the absence of adequate guidance on quality management during development. It pursues three primary objectives: proposing a novel quality-in-use model, presenting an enhanced version of the User-Centered Intelligent Environment Development Process, and reporting on the application of these approaches through a multiple case study. To embed quality into systems, we advocate for the integration of quality characteristics from ISO/IEC 25000 standards with functional requirements. Stakeholders collaboratively define targets using measures from quality standards, and metrics enable early problem detection and resolution during development. The proposed quality-in-use model provides an insightful and objective perspective on system capabilities, guiding development and ensuring stakeholder involvement. However, challenges such as shortening development cycles for early and regular stakeholder feedback and managing an increased number of system tests were noted. Our study makes a significant contribution to the field of Intelligent Environments by providing a structured approach to embedding and managing quality throughout the development lifecycle. The multiple case study offers empirical evidence of the effectiveness of the proposed approaches, with ongoing considerations for challenges in the development process.
Naturalness in the Making: Classifying, Operationalizing, and Naturalizing Naturalness in Plant Morphology
Authors: Kendig Catherine
Published: June 2024

What role does the concept of naturalness play in the development of scientific knowledge and understanding? Whether naturalness is taken to be an ontological dimension of the world or a cognitive dimension of our human perspective within it, assumptions of naturalness seem to frame both concepts and practices that inform the partitioning of parts and the kinding of kinds. Within the natural sciences, knowledge of what something is as well as how it is studied rely on conceptual commitments. These conceptual commitments shape how entities and processes are categorized as natural depending on how naturalness has been understood within that discipline. In this paper, I explore how commitments to naturalness shape different conceptualizations of what were previously and what are now considered to be fundamental parts in plant morphology. Relying on an historically informed epistemological approach, I trace the origins and development of models of plant morphology from (1) Goethe’s classical LEAF-ROOT-STEM archetype model; (2) Agnes Arber’s revisions to Goethe’s model reconceived in her partial-shoot theory of the leaf; and (3) Rolf Sattler’s proposal for a processual model of plant morphology. These influential models posit ontologically and epistemologically inconsistent conceptualizations of the natural fundamental parts of plants and how they are related to each other. To explain what this inconsistency means for the concept of naturalness and the role it plays in plant morphology, I suggest naturalness might best be conceived of as a contextually bound classificatory concept that is made and remade through its operationalized use within a model, theory, set of practices, or discipline.
Course Design, Belonging, and Learner Engagement: Meeting the Needs of Diverse International Students in Online Courses
Authors: Dennen Vanessa , Choi Hajeen , He Dan , Arslan Ömer
Published: June 2024

International students comprise a growing population in U.S. higher education institutions, including online courses. Online international students’ experiences and needs have been largely understudied, but their increased presence in online courses offers a rich opportunity to understand better and improve their course experiences. This qualitative study draws upon interviews with international and domestic online learners to illuminate the importance of inclusivity and how it can be improved through course design and facilitation. To address our research questions, we interviewed 27 graduate students at a large public research university in the United States. The sample included 17 international and 10 domestic students. The findings show opportunities for enhancing the online learning experience for international learners through culturally attuned teaching, supporting both social and cognitive presences along with clear course expectations, and encouraging instructor’s responsiveness and peer engagement. This study concludes with four major implications for online instructors.
Challenging toxic tin catalysts in polyurethane coatings through serendipity
Authors: Butschle Marcel , Schackmann Markus , Dam-Johansen Kim
Published: June 2024

Traditional polyurethane (PU) catalysts, especially dibutyl tin dilaurate, face scrutiny over toxicity concerns, leading to interest in safer alternatives. In an unexpected turn of events, research into a commercially available antibacterial agent revealed that it drastically reduced the pot life of PU coatings. Experiments show that when PU coatings were formulated with the antibacterial agent as catalyst, drying time and solvent resistance were improved as compared to traditional tin and zirconium catalysts. Further analysis showed that this was the result of copper compounds and it could be shown that a similar catalytic effect was achieved through Cu(II)-sulfate and Cu(II)-acetate. Such copper salts are not yet commonly known as replacements for tin catalysts. Possible mechanisms such as heterogenous catalysis or in-situ formation of the active compound were discussed.
Habitat Provision Differs Across Subtidal Reefs Varying in Location Within the Estuarine Landscape
Authors: Outhwaite Alyssa , Lebreton Benoit , Palmer Terence A. , Beseres Pollack Jennifer
Published: June 2024

Although position within the estuarine landscape is known to influence structural characteristics and ecological functioning of many habitats, the influence of position on subtidal oyster reef characteristics and functioning is relatively understudied. This study assessed habitat provision by oysters and benthic macrofauna on subtidal bar and patch oyster reefs within the northwestern Gulf of Mexico estuary. Bar reefs had greater and more variable oyster density, biomass, and volume, as well as dead shell material, compared to patch reefs. Benthic macrofaunal community composition differed between reef types, with bar reefs hosting 11× and 30× higher biomass of Porcellanidae and Ampithoidae crustaceans, and patch reefs supporting 34× and 47× higher biomass of Eunicidae annelids and Leptocheliidae crustaceans. The environmental variables most highly correlated with macrofaunal communities on both bar and patch reefs were sediment chlorophyll-a, volume of dead oyster shells, and depth. Despite differences in structural characteristics and position within the estuarine landscape, subtidal oyster reefs are often managed as a single habitat type. Our findings emphasize the importance of considering location in oyster reef conservation and restoration efforts to better predict and optimize faunal provision outcomes.
Theoretical investigations of the potential application of PVA-mixed-valent tunnel structured manganese oxide nano-composite in continuous simultaneous removal of multi-contaminants from aqueous waste stream
Authors: Ghaly M. , Abdel Rahman R. O.
Published: June 2024

The potential use of PVA-mixed-valent tunnel structured manganese oxide nano-composite in the removal of multi-contaminants form aqueous solutions was assessed by studying the continuous simultaneous removal of lead, caesium, and cobalt. Within this context, the morphology and the nature of nanoparticle inclusion into the PVA matrix was assessed using SEM–EDX analysis. The nanoparticles are homogenously distributed in the polymeric matrix with some agglomerated inclusions of these particles. The thermal and chemical stability analyses prove the stability of the material up to 180 °C and in slightly acidic to slightly alkaline solutions. The analysis of the gravimetric thermal data shows that the thermal treatment is a feasible end of life management route for this material. The values of percentage uptake and bed capacity indicate the feasibility of the use of this material in the simultaneous removal of lead, caesium and cobalt. The breakthrough curves analyses provide insights into the breakthrough characteristics and underlying removal mechanisms. It was found that the removal reaction follows Langmuir kinetics of adsorption–desorption and that the rate driving forces follow second order reversible reaction kinetics, where the sorption occur at energetically equal sites.
Gesundheitsorientierte Führung von Beschäftigten in der stationären medizinischen Versorgung
Authors: Mache Stefanie , Harth Volker
Published: June 2024

Gesundheitsorientierte Führung sollte insbesondere in der medizinischen Versorgung einen hohen Stellenwert einnehmen, da diese einen wesentlichen Beitrag zum Erhalt der Gesundheit von Beschäftigten im Klinikalltag leisten kann. Die Gesundheit und Arbeitsfähigkeit der Beschäftigten stellt eine grundlegende Voraussetzung für die Sicherstellung der Gesundheitsversorgung dar. Der generelle Einfluss von Führungskräften auf die Gesundheit von Mitarbeitenden ist hinreichend belegt. Dieser Artikel soll eine Einführung und Übersicht zum Erkenntnisstand über gesundheitsorientierte Führung in der medizinischen Versorgung bieten. In einer explorativen Literaturrecherche werden Studienergebnisse zu gesundheitsorientierter Führung im medizinischen Versorgungskontext zusammenfassend vorgestellt. Die zentralen Ergebnisse bisheriger Studien zeigen auf, dass gesundheitsorientierte Führung einen signifikant positiven Einfluss auf die Gesundheit von Beschäftigten haben kann. Insgesamt stellt Führung einen relevanten Faktor für die betriebliche Gesundheitsförderung in Klinikunternehmen dar. Der empirische Forschungsstand verdeutlicht, dass noch Forschungsbedarf hinsichtlich gesundheitsorientierter Führung im Kontext medizinischer Versorgung besteht. Führungsinterventionen stellen dabei vielversprechende Strategien zur Förderung der psychischen Gesundheit von Beschäftigten im Gesundheitswesen dar. Da die aktuell verfügbaren Erkenntnisse begrenzt sind, sollten Analysen und wissenschaftliche Bewertungen im Themenfeld ausgeweitet werden.
Assessing the Impact of the Novel Sperm Selection Technique 'Annexin-V Coated Polystyrene Bead Technique' on Mouse Assisted Reproductive Techniques Outcomes: Preliminary Findings
Authors: Karabulut Seda , Camcı İrem Yalım , Altun Ceren Erdem , Usta Melek , Yiğit Pakize
Published: June 2024

ICSI is one of the most commonly used techniques to treat infertility. The sperm selection for the procedure is done ‘randomly’ by the embryologist according to the motility and morphology parameters which is known not to reflect the potential of a sperm for fertilization, pregnancy and a healthy childbearing. Since the apoptosis rate is higher in sperm cells of infertile patients, it is more likely to choose an apoptotic sperm by the 'random selection method'. We recently introduced a novel sperm selection technique namely ‘Annexin-V coated polystrene bead technique’(APB-Tech), for the selection of non-apoptotic sperm cells. The principal of the technique is based on the binding affinity of an apoptotic sperm to ‘Annexin-V covered beads’ enabling to distinguish a viable and a healthy sperm by light microscopy. The aim of the present study was to observe the effects of this technique on ICSI outcomes in mice. Sibling-oocyte trial was conducted and the outcome measures were compared with the results of traditional sperm selection method. Embryo and blastocyst qualities and blastocyst development rates were significantly increased in APB-Tech group, while the other parameters were not affected. Promising results obtained from the technique reflect its promising potential as a new and powerful tool for sperm selection and thus infertility techniques.
Deaf learners’ academic and social difficulties and coping mechanisms in Ethiopian elementary schools
Authors: Malado Damene Matsana
Published: June 2024

This study examined deaf learners’ academic and social difficulties as well as their coping mechanisms in Ethiopian elementary schools. To do this, the study adopted a phenomenological design from qualitative research methodology. Purposive sampling methods were used to choose nine deaf students for semi-structured interviews. Using word-by-word narrative analysis, data were analyzed. The lack of sign language interpreters and teachers' exclusionary behaviors were found to be some of the academic and social obstacles faced by deaf learners in the research area. The study also found that deaf learners in participating schools used problem-focused coping techniques, including pen-and-paper techniques for interpersonal communication, and maladaptive coping mechanisms like ignoring and social withdrawal. According to the report, local authorities should organize awareness workshops for instructors from participating schools on how to instruct deaf learners in inclusive environments.
Modeling Temperature‐Dependent Sub‐Daily Extreme Rainfall With a Gridded Weather Generator
Authors: Moraga Jorge Sebastián , Peleg Nadav , Burlando Paolo
Published: June 2024

Temperature increases are associated with an intensification of heavy sub‐daily extreme rainfall by approximately 7% per °C, in accordance with the Clausius‐Clapeyron (CC) relation. As a result of this intensification, there are concerns regarding the increased frequency and magnitude of floods in small to medium‐sized catchments. The high‐resolution two‐dimensional weather generator (WG), AWE‐GEN‐2d, offers an ideal tool to simulate the climate variables required to assess the catchment‐scale hydrological response at high resolution. However, it lacked an explicit representation of the relationship between temperature and precipitation that can mimic the CC relationship. Therefore, we introduce a newly revised version of the model, named AWE‐GEN‐2d‐CC, designed to mirror the observed CC scaling by conditioning the simulation of precipitation properties (intensity and area) on temperature. We demonstrate the model's efficacy in representing future extreme rainfall by simulating their potential impact on the hydrological response of a mountainous catchment in the Swiss Alps. Based on observations and future climate model projections, AWE‐GEN‐2d‐CC was used to generate large ensembles of present and end‐of‐century climate data at hourly and 2‐km resolutions, used subsequently as input to Topkapi‐ETH, a physically‐based, distributed hydrological model. The new version of the WG successfully mimics the CC scaling of heavy rainfall, leading to an intensification of short‐duration heavy rainfall in future climates, in contrast with the results obtained using the original model. This allows for a more realistic assessment of future rainfall impact on hydrological response, which, in the demonstration application, shows a modulated effect even for short durations.
Ubiquitous Increases in Streamflow and Flooding Magnitude Across the Yellow River Basin
Authors: Ma Zice , Sun Peng , Li Hu , Chen Donghua , Liu Yufeng , Zou Yifan , Jiang Kang
Published: June 2024

Global human‐induced warming has intensified water circulation in the atmospheric environment and altered the streamflow generation regime. The VIC hydrological model approach for impact assessment of climate change and human activities mainly focuses on variations in streamflow, but ignores other critical flooding characteristics induced by extreme streamflow, especially bivariate flooding characteristics. In this work, the copula functions are employed to structure the flooding risk under the shared socioeconomic pathway (SSP) across the Yellow River basin (YRB). This is based on the multi‐model ensemble (MME) and Delta downscaling outputs (Delta‐MME) of the CMIP6 global climate models (GCMs), as well as the flooding characteristics simulated by VIC hydrological model. Compared to the reference period (1995–2014), Delta‐MME reveals a significant warming and humidifying trend under three SSPs over the YRB. Despite uncertainties originating from climate variables and hydrological model, multiple findings underscore the substantial influence of climate change on the flooding generation regime in YRB. This includes: (a) an increase in the streamflow under all SSPs; (b) a larger flooding peak (Q) and volume (W) under SSP585, with Q and W at the Huayuankou hydrologic station (HYK) increasing by 52.7% and 44.8%, respectively; (c) an advancement in the bivariate flooding risk, particularly in SSP585 where flooding co‐occurrence return period at HYK may be more than 50 times earlier. This study underscores that the urgent need to enhance social resilience to climate change in the YRB.
Cenozoic Evolution of the Bohai Bay Basin: Constraints From Seismic Radial Anisotropy
Authors: Wu Xiaoyang , Li Cuilin , Fan Jianke , Li Chaoyang , Bai Qipeng , Feng Jikun , Dong Dongdong
Published: June 2024

We obtain three‐dimensional models of crustal shear‐wave velocity and radial anisotropy in the Bohai Bay basin (BBB), revealing distinct radial anisotropy patterns. The western region of the basin exhibits pronounced positive crustal radial anisotropies, attributed to upper mantle convection driven by the subduction of the Pacific plate during the early Tertiary. Conversely, the eastern region of the basin demonstrates weak to negative radial anisotropies, indicating a compression shear rupture system influenced by the far‐field India‐Eurasian collision during the Neogene‐Quaternary. These differences suggest that the formation of the BBB is associated with the dynamic transition from Pacific subduction to India‐Eurasian collision during the Cenozoic. Moreover, the Luxi uplift, with its stable upper‐middle crustal structures, acts as a barrier hindering the eastward extension of the BBB.
On Some Limitations of Current Machine Learning Weather Prediction Models
Authors: Bonavita Massimo
Published: June 2024

Machine Learning (ML) is having a profound impact in the domain of Weather and Climate Prediction. A recent development in this area has been the emergence of fully data‐driven ML prediction models which routinely claim superior performance to that of traditional physics‐based models. We examine some aspects of the forecasts produced by three of the leading current ML models, Pangu‐Weather, FourCastNet and GraphCast, with a focus on their fidelity and physical consistency. The main conclusion is that these ML models are not able to properly reproduce sub‐synoptic and mesoscale weather phenomena and lack the fidelity and physical consistency of physics‐based models and this has impacts on the interpretation of their forecasts and their perceived skill. Balancing forecast skill and physical realism will be an important consideration for future ML models.
New Paleomagnetic Results From the Late Mesoproterozoic Luanshigou Formation, Shennongjia Group in South China and Their Implications for the Pre‐Grenvillian Connections Between South China Blocks and Southwestern Laurentia
Authors: Liu Yixuan , Zhang Shihong , Li Haiyan , Yang Kunkun , Zhang Nana , Li Huaikun , Wang Zhixian , Yang Tianshui , Wu Huaichun
Published: June 2024

The identification of the Grenvillian‐age ophiolite suites in the Yangtze block in recent years suggested that the northern Yangtze subblock (NYB) and the southern Yangtze subblock (SYB) were once separated by an ocean in late Mesoproterozoic. Although some paleogeographic models advocated the Pre‐Grenvillian connections between the south China blocks and Laurentia, none of them has been paleomagnetically tested. Here we report the new paleomagnetic results obtained from the ∼1,270 Ma purplish‐red muddy dolomite beds of the Luanshigou Formation, Shennongjia Group, NYB, providing new constraints for reconstructing the paleogeographic positions of the south China blocks in late Mesoproterozoic. A total of 447 samples underwent stepwise thermal demagnetization. Two components were identified. The low‐temperature component is interpreted as the recent viscous remnant magnetization. The high‐temperature component was obtained from 64 samples below 580°C and from 177 samples below 690°C, directed northeast‐up or southwest‐down, antipodally, positioning the paleomagnetic pole at 18.5°S, 74.4°E (dm/dp = 2.5/1.6°). Rock magnetic results demonstrate that the magnetic carriers in purplish‐red dolomite and pale‐pink dolomite are predominated by hematite and magnetite, respectively. The data quality is supported by an inverse baked contact test, a B‐class reversal test, and the paleomagnetic pole is distinct from any younger poles of the region. Based on the paleomagnetic results, aided by geological evidence, we propose a reconstruction in which the NYB was juxtaposed to southwestern Laurentia in the late Mesoproterozoic and suggest that the late Mesoproterozoic Miaowan‐Shimian ophiolite zone in the Yangtze block was likely an extension of the Grenville belt of Laurentia.
Global Optimization of Soil Texture Maps From Satellite‐Observed Soil Moisture Drydowns and Its Implementation in Noah‐MP Land Surface Model
Authors: He Qing , Lu Hui , Yang Kun , Oki Taikan , Zhou Jianhong , Zhao Long , Yao Panpan , He Jie , Wang Aihui , Xu Yawei
Published: June 2024

Soil moisture (SM) plays an important role in regulating regional weather and climate. However, the simulations of SM in current land surface models (LSMs) contain large biases and model spreads. One primary reason contributing to such model biases could be the misrepresentation of soil texture in LSMs, since current available large‐scale soil texture data are often generated from extrapolation algorithm based on a scarce number of in‐situ geological measurements. Fortunately, recent advancements in satellite technology provide a unique opportunity to constrain the soil texture data sets by introducing observed information at large spatial scales. Here, two major soil texture baseline data sets (Global Soil Data sets for Earth system science, GSDE and Harmonized World Soil Data from Food and Agriculture Organization, HWSD) are optimized with satellite‐estimated soil hydraulic parameters. The optimized soil maps show increased (decreased) sand (clay) content over arid regions. The soil organic carbon (SOC) content increases globally especially over regions with dense vegetation cover. The optimized soil texture data sets are then used to run simulations in one example LSM, that is, Noah LSM with Multiple Parameters. Results show that the simulated SM with satellite‐optimized soil texture maps is improved at both grid and in‐situ scales. Intercase comparison analyses show the SM improvement differs between simulations using different soil maps and soil hydraulic schemes. Our results highlight the importance of incorporating observation‐oriented calibration on soil texture in current LSMs. This study also joins the call for a better soil profile representation in the next generation of Earth System Models (ESMs).
Disk Images of Neutral Temperature From the Global‐Scale Observations of the Limb and Disk (GOLD) Mission
Authors: Evans J. S. , Lumpe J. D. , Eastes R. W. , Correira J. , Aryal S. , Laskar F. , Veibell V. , Krywonos A. , Plummer T. , McClintock W. E.
Published: June 2024

Observations of far‐ultraviolet (FUV) dayglow by the Global‐scale Observations of Limb and Disk (GOLD) mission provide an opportunity for quantifying the global‐scale response of the thermosphere to solar extreme‐ultraviolet variability and geomagnetic activity. Relative temperature changes can be measured by monitoring changes in the rotational structure observed in molecular nitrogen Lyman‐Birge‐Hopfield (LBH) band emissions. We present a new technique for deriving effective neutral temperatures from GOLD FUV observations using optimal estimation fits to spectra containing LBH band emissions. We provide an overview of the theoretical basis for the GOLD Level 2 TDISK algorithm. Effects on derived effective neutral temperatures from instrument artifacts and particle background are reviewed. We also discuss GOLD Level 1C DAY and Level 2 TDISK data products and present representative examples of each. We show that effective neutral temperatures vary with local time, exhibit a strong dependence on season and solar zenith angle, and correlate strongly with geomagnetic and solar activity. Finally, we present results from a preliminary data product validation that show good agreement with coincident GOLD exospheric temperatures and predictions from a global reference atmospheric model.
A Review of the Migration of Hydrogen From the Planetary to Basin Scale
Authors: Lodhia Bhavik Harish , Peeters Luk , Frery Emanuelle
Published: June 2024

The occurrence of natural hydrogen and its sources have been reviewed extensively in the literature over the last few years, with current research across both academia and industry focused on assessing the feasibility of utilizing natural hydrogen as an energy resource. However, gaps remain in our understanding of the mechanisms responsible for the large‐scale transport of hydrogen and migration through the deep and shallow Earth and within geological basins. Due to the unique chemical and physical properties of hydrogen, the timescales of migration within different areas of Earth vary from billions to thousands of years. Within the shallow Earth, diffusive and advective transport mechanisms are dependent on a wide range of parameters including geological structure, microbial activity, and subsurface environmental factors. Hydrogen migration through different media may occur from geological timescales to days and hours. We review the nature and timescale of hydrogen migration from the planetary to basin‐scale, and within both the deep and shallow Earth. We explore the role of planetary accretion in setting the hydrogen budget of the lower mantle, discuss conceptual frameworks for primordial or deep mantle hydrogen migration to the Earth's surface and evaluate the literature on the lower mantle's potential role in setting the hydrogen budget of rocks delivered from the deep Earth. We also review the mechanisms and timescales of hydrogen within diffusive and advective, fossil versus generative and within biologically moderated systems within the shallow Earth. Finally, we summarize timescales of hydrogen migration through different regions within sedimentary basins.
Magnetic Domain States and Critical Sizes in the Titanomagnetite Series
Authors: Cych Brendan , Paterson Greig A. , Nagy Lesleis , Williams Wyn , Moskowitz Bruce
Published: June 2024

The minerals carrying the magnetic remanence in geological samples are commonly a solid solution series of iron‐titanium spinels known as titanomagnetites. Despite the range of possible compositions within this series, micromagnetic studies that characterize the magnetic domain structures present in these minerals have typically focused on magnetite. No studies systematically comparing the domain‐states present in titanomagnetites have been undertaken since the discovery of the single vortex (SV) structure and the advent of modern micromagnetism. The magnetic properties of the titanomagnetite series are known to vary strongly with composition, which may influence the domain states present in these minerals, and therefore the magnetic stability of the samples bearing them. We present results from micromagnetic simulations of titanomagnetite ellipsoids of varying shape and composition to find the size ranges of the single domain (SD) and SV structures. These size ranges overlap, allowing for regions where the SD and SV structures are both available. These regions are of interest as they may lead to magnetic instability and “partial thermal remanent magnetization (pTRM) tails” in paleointensity experiments. We find that although this SD + SV zone occupies a narrow range of sizes for equidimensional magnetite, it is widest for intermediate (TM30‐40) titanomagnetite compositions, and increases for both oblate and prolate particles, with some compositions and sizes having an SD + SV zone up to 100s of nm wide. Our results help to explain the prevalence of pTRM tail‐like behavior in paleointensity experiments. They also highlight regions of particles with unusual domain states to target for further investigation into the definitive mechanism behind paleointensity failure.
Influences of Solar Wind Parameters on Energetic Electron Fluxes at Geosynchronous Orbit Revealed by the Deep SHAP Method
Authors: Wang Jianhang , Xiang Zheng , Ni Binbin , Guo Deyu , Liu Yangxizi , Dong Junhu , Hu Jingle , Guo Haozhi
Published: June 2024

Solar wind is an intermediary in energy transfer from the Sun into the Earth's magnetosphere, and is considered as a decisive driver of energetic electron dynamics at the geosynchronous orbit (GEO). Based on machine learning technology, several models driven by solar wind parameters have been established to predict GEO electron fluxes. However, the relative contributions of different solar wind parameters on GEO electron fluxes are still unclear. Recently, a feature attribution method, Deep SHapley Additive exPlanations (Deep SHAP) is proposed to open black boxes of machine learning models. In this study, we use the Deep SHAP method to quantify contributions of different solar wind parameters with an artificial neural network (ANN) model. Backpropagating the prediction results of this ANN model from 2011 to 2020, SHAP values for four solar wind parameters (interplanetary magnetic field (IMF) BZ, solar wind speed, solar wind dynamic pressure, and proton density) are calculated and comprehensively analyzed. The results suggest that solar wind speed with a lag of 1 day is the most important driver. We further investigate relative roles of different parameters in three specific electron fluxes variation events (corresponding to electron fluxes reaching a local maximum, a local minimum, and unchanged, respectively). The results suggest that high solar wind speed and southward IMF BZ (high dynamic pressures) facilitate increases (decreases) of electron fluxes. These findings help reveal the underlying physical mechanisms of GEO electron dynamics and help develop more accurate prediction models for GEO electron fluxes.
Inverted Alu repeats: friends or foes in the human transcriptome
Authors: Lee Keonyong , Ku Jayoung , Ku Doyeong , Kim Yoosik
Published: June 2024

Alu elements are highly abundant primate-specific short interspersed nuclear elements that account for ~10% of the human genome. Due to their preferential location in gene-rich regions, especially in introns and 3′ UTRs, Alu elements can exert regulatory effects on the expression of both host and neighboring genes. When two Alu elements with inverse orientations are positioned in close proximity, their transcription results in the generation of distinct double-stranded RNAs (dsRNAs), known as inverted Alu repeats (IRAlus). IRAlus are key immunogenic self-dsRNAs and post-transcriptional cis-regulatory elements that play a role in circular RNA biogenesis, as well as RNA transport and stability. Recently, IRAlus dsRNAs have emerged as regulators of transcription and activators of Z-DNA-binding proteins. The formation and activity of IRAlus can be modulated through RNA editing and interactions with RNA-binding proteins, and misregulation of IRAlus has been implicated in several immune-associated disorders. In this review, we summarize the emerging functions of IRAlus dsRNAs, the regulatory mechanisms governing IRAlus activity, and their relevance in the pathogenesis of human diseases.
Stromal cells engineered to express T cell factors induce robust CLL cell proliferation in vitro and in PDX co-transplantations allowing the identification of RAF inhibitors as anti-proliferative drugs
Authors: Hoferkova Eva , Seda Vaclav , Kadakova Sona , Verner Jan , Loja Tomas , Matulova Kvetoslava , Skuhrova Francova Hana , Ondrouskova Eva , Filip Daniel , Blavet Nicolas , Boudny Miroslav , Mladonicka Pavlasova Gabriela , Vecera Josef , Ondrisova Laura , Pavelkova Petra , Hlavac Krystof , Kostalova Lenka , Michaelou Androniki , Pospisilova Sarka , Dorazilova Jana , Chochola Vaclav , Jaros Josef , Doubek Michael , Jarosova Marie , Hampl Ales , Vojtova Lucy , Kren Leos , Mayer Jiri , Mraz Marek
Published: June 2024

Several in vitro models have been developed to mimic chronic lymphocytic leukemia (CLL) proliferation in immune niches; however, they typically do not induce robust proliferation. We prepared a novel model based on mimicking T-cell signals in vitro and in patient-derived xenografts (PDXs). Six supportive cell lines were prepared by engineering HS5 stromal cells with stable expression of human CD40L, IL4, IL21, and their combinations. Co-culture with HS5 expressing CD40L and IL4 in combination led to mild CLL cell proliferation (median 7% at day 7), while the HS5 expressing CD40L, IL4, and IL21 led to unprecedented proliferation rate (median 44%). The co-cultures mimicked the gene expression fingerprint of lymph node CLL cells (MYC, NFκB, and E2F signatures) and revealed novel vulnerabilities in CLL-T-cell-induced proliferation. Drug testing in co-cultures revealed for the first time that pan-RAF inhibitors fully block CLL proliferation. The co-culture model can be downscaled to five microliter volume for large drug screening purposes or upscaled to CLL PDXs by HS5-CD40L-IL4 ± IL21 co-transplantation. Co-transplanting NSG mice with purified CLL cells and HS5-CD40L-IL4 or HS5-CD40L-IL4-IL21 cells on collagen-based scaffold led to 47% or 82% engraftment efficacy, respectively, with ~20% of PDXs being clonally related to CLL, potentially overcoming the need to co-transplant autologous T-cells in PDXs.
A near-infrared spectroscopy dataset of coal and coal-measure rock under diverse conditions
Authors: Lv Yuanbo , Wang Shibo , Yang En , Ge Shirong
Published: June 2024

The identification technology for coal and coal-measure rock is required across multiple stages of coal exploration, mining, separation, and tailings management. However, the construction of identification models necessitates substantial data support. To this end, we have established a near-infrared spectral dataset for coal and coal-measure rock, which includes the reflectance spectra of 24 different types of coal and coal-measure rock. For each type of sample, 11 sub-samples of different granularities were created, and reflectance spectra were collected from sub-samples at five different detection azimuths, 18 different detection zeniths, and under eight different light source zenith conditions. The quality and usability of the dataset were verified using quantitative regression and classification machine learning algorithms. Primarily, this dataset is used to train artificial intelligence-based models for identifying coal and coal-measure rock. Still, it can also be utilized for regression studies using the industrial analysis results contained within the dataset.