bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transdisciplinary perspectives on ‘the narrative’ and ‘the analytical’ for critical literacy
Authors: Humphrey Sally , Stosic Dragana , Barrington Therese , Brake Nicki , Pagano Rebecca 
Published: June 2024

AbstractThis paper reports on the design of a multimodal metalanguage developed by teacher education researchers to support pre-service teachers’ understandings of critical literacy and critical health literacies in a changing communication landscape. The design of metalanguage constitutes the first stage of an ongoing transdisciplinary project, Multiliteracies Across Teaching Areas (MATA), which aims to design and implement cohesive disciplinary multiliteracies pedagogies across teaching areas of an initial teacher education (ITE) programme. The focus on metalanguage design is motivated by concerns shared by critical literacy scholars and scholars in health literacy to balance deconstruction of texts with actionable response through the ‘deep moral grammar of narrative’ Kindenberg and Freebody (Australian Journal of Language and Literacy, 44(2), 90-99, 2021). Such concerns also align with recent World Health Organisation calls for the use of solution-oriented literacies to empower communities. These sociocultural understandings of critical literacy and Kindenberg and Freebody’s (Australian Journal of Language and Literacy, 44(2), 90-99, 2021) call to balance ‘the analytical’ and the narrative’ in critical literacy practice provide the starting point for designing metalanguage for transdisciplinary research in Health and Physical Education (HPE) and English. We firstly review relevant models of the critical informing both subject areas to establish synergous understandings and then analyse expectations of critical practice in descriptions and elaborations of the HPE and English curricula. We provide an overview of the semiotic resources available for transdisciplinary conversations within the English curriculum with clarifying ‘bridging’ terminology informed by social semiotic descriptions. Through close analysis of four representative texts selected for critical literacy practice by English and HPE teacher educators in the MATA project, we demonstrate how such metalanguage was shared to build understandings of both critical analysis and actionable response. Along with analytical features to build and analyse issues according to disciplinary criteria, we show how stories are used to build rapport with their diverse audiences and to motivate their peers to take positive health action.
The genetic orchestra of salicylic acid in plant resilience to climate change induced abiotic stress: critical review
Authors: Elsisi Mohamed , Elshiekh Moaz , Sabry Nourine , Aziz Mark , attia Kotb , Islam Faisal , Chen Jian , Abdelrahman Mohamed 
Published: June 2024

AbstractClimate change, driven by human activities and natural processes, has led to critical alterations in varying patterns during cropping seasons and is a vital threat to global food security. The climate change impose several abiotic stresses on crop production systems. These abiotic stresses include extreme temperatures, drought, and salinity, which expose agricultural fields to more vulnerable conditions and lead to substantial crop yield and quality losses. Plant hormones, especially salicylic acid (SA), has crucial roles for plant resiliency under unfavorable environments. This review explores the genetics and molecular mechanisms underlying SA's role in mitigating abiotic stress-induced damage in plants. It also explores the SA biosynthesis pathways, and highlights the regulation of their products under several abiotic stresses. Various roles and possible modes of action of SA in mitigating abiotic stresses are discussed, along with unraveling the genetic mechanisms and genes involved in responses under stress conditions. Additionally, this review investigates molecular pathways and mechanisms through which SA exerts its protective effects, such as redox signaling, cross-talks with other plant hormones, and mitogen-activated protein kinase pathways. Moreover, the review discusses potentials of using genetic engineering approaches, such as CRISPR technology, for deciphering the roles of SA in enhancing plant resilience to climate change related abiotic stresses. This comprehensive analysis bridges the gap between genetics of SA role in response to climate change related stressors. Overall goal is to highlight SA's significance in safeguarding plants and by offering insights of SA hormone for sustainable agriculture under challenging environmental conditions.
Determinants of urban agriculture market participation decision and intensity in eastern Ethiopia
Authors: Nigus Gebregziabher , Ketema Mengistu , Haji Jema , Sileshi Million 
Published: June 2024

AbstractSmall-scale urban farmers' active involvement in the urban agriculture (UA) output market is one strategy to ease an urban food shortage while sustaining their livelihoods and income. Enhancing market participation and intensity requires identifying the factors that affect UA market participation. Thus, the study aimed to determine the factors influencing UA market participation decisions and intensity in Eastern Ethiopia. Using a semi-structured questionnaire, the study utilized primary data collected from 270 randomly selected urban farmers. The Double Hurdle (DH) Model was used to determine the factors influencing urban farmers' participation and intensity in the UA output market. According to the first stage DH Model results, age, education, occupation, family size, farming experience, UA-related training, dependency ratio, and market information, all had a significant impact on the decision to participate in the UA output market. The second stage DH Model of Truncated regression indicated that the intensity of UA output market participation decision was significantly affected by the education, land size, UA-related training, and market information are all important factors determine the intensity of UA output market participation. Improving the ability to use the land for UA purposes, awareness creation through short-term training, and improving information access are important recommendations to enhance UA output market participation and intensity of participation.
Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications
Authors: Shayea Ghadeer Ghazi , Zabil Mohd Hazli Mohammed , Albahri A. S. , Joudar Shahad Sabbar , Hamid Rula A. , Albahri O. S. , Alamoodi A. H. , Zahid Idrees A. , Sharaf Iman Mohamad 
Published: June 2024

AbstractIn the context of autism spectrum disorder (ASD) triage, the robustness of machine learning (ML) models is a paramount concern. Ensuring the robustness of ML models faces issues such as model selection, criterion importance, trade-offs, and conflicts in the evaluation and benchmarking of ML models. Furthermore, the development of ML models must contend with two real-time scenarios: normal tests and adversarial attack cases. This study addresses this challenge by integrating three key phases that bridge the domains of machine learning and fuzzy multicriteria decision-making (MCDM). First, the utilized dataset comprises authentic information, encompassing 19 medical and sociodemographic features from 1296 autistic patients who received autism diagnoses via the intelligent triage method. These patients were categorized into one of three triage labels: urgent, moderate, or minor. We employ principal component analysis (PCA) and two algorithms to fuse a large number of dataset features. Second, this fused dataset forms the basis for rigorously testing eight ML models, considering normal and adversarial attack scenarios, and evaluating classifier performance using nine metrics. The third phase developed a robust decision-making framework that encompasses the creation of a decision matrix (DM) and the development of the 2-tuple linguistic Fermatean fuzzy decision by opinion score method (2TLFFDOSM) for benchmarking multiple-ML models from normal and adversarial perspectives, accomplished through individual and external group aggregation of ranks. Our findings highlight the effectiveness of PCA algorithms, yielding 12 principal components with acceptable variance. In the external ranking, logistic regression (LR) emerged as the top-performing ML model in terms of the 2TLFFDOSM score (1.3370). A comparative analysis with five benchmark studies demonstrated the superior performance of our framework across all six checklist comparison points.
Natural Variability Can Mask Forced Permafrost Response to Stratospheric Aerosol Injection in the ARISE‐SAI‐1.5 Simulations
Authors: Morrison A. L. , Barnes E. A. , Hurrell J. W. 
Published: June 2024

AbstractStratospheric aerosol injection (SAI) has been proposed as a potential method for mitigating risks and impacts associated with anthropogenic climate change. One such risk is widespread permafrost thaw and associated carbon release. While permafrost has been shown to stabilize under different SAI scenarios, natural variability may mask this forced response and make it difficult to detect if and when SAI is stabilizing permafrost. Here we use the 10‐member ensemble from the ARISE‐SAI‐1.5 simulations to assess the spread in projected active layer depth and permafrost temperature across boreal permafrost soils and specifically in four peatland and Yedoma regions. The forced response in active layer depth and permafrost temperature quickly diverges between an SAI and non‐SAI world, but individual ensemble members overlap for several years following SAI deployment. We find that, due to projected permafrost variability, it may take more than a decade of SAI deployment to detect the effects of SAI on permafrost temperature and almost 30 years to detect its effects on active layer depth. Not only does natural variability make it more difficult to detect SAI's influence, it could also affect the likelihood of reaching a permafrost tipping point. In some realizations, SAI fails to prevent a local tipping point that is also reached in a non‐SAI world. Our results underscore the importance of accounting for natural variability in assessments of SAI's potential influence on the climate system.
Occurrence of Equatorial Plasma Bubbles (EPBs) Over the Indian Region on 15 January 2022 and Their Plausible Connection to the Tonga Volcano Eruption
Authors: Barad Rajesh Kumar , Sripathi S. , Banola S. , Vijaykumar K. 
Published: June 2024

AbstractThis study focuses on the causes for the generation of equatorial plasma bubbles (EPBs) over the Indian subcontinent and their correlation with atmospheric‐ionospheric disturbances resulting from the eruption of the Tonga volcano on 15 January 2022. Concurrent ionosonde observations obtained from Tirunelveli (8.67°N, 77.81°E) and Prayagraj (25.41°N, 81.93°E) show the presence of spread‐F traces in ionograms. Notably, the EPBs are also accompanied by plasma blobs (PBs), with their pronounced occurrence during midnight at Prayagraj and Tirunelveli. Analysis of in situ electron density observations obtained from the Swarm B and C satellites reveals substantial plasma density depletions associated with EPBs. An intriguing observation is the intensification of Pre‐Reversal Enhancement (PRE) immediately preceding the onset of spread‐F at Tirunelveli due to enhanced eastward F region zonal winds by Tonga Volcano, as seen in the satellite observations. Furthermore, the isofrequency analysis from Tirunelveli shows the presence of gravity wave‐like oscillations in the equatorial F‐region over India. The investigation of Total Electron Content (TEC) obtained from a Pseudo Random Number (PRN)‐14 over Indian longitudes suggests the presence of two dominant modes of Traveling Ionospheric Disturbances (TIDs) with speeds ∼452 m/s and ∼406 m/s having periods in the range of ∼65–75 min. These observations reaffirm that volcano triggered atmospheric/ionospheric disturbances can propagate long distances for several hours and can provide necessary seeding conditions for the generation of EPBs.
Oven Design for In‐Situ Thermal Extraction of Volatiles From Lunar Regolith
Authors: Ruan Renhao , Yang Wei , Hao Jialong , Guo Guangjun 
Published: June 2024

AbstractExtracting volatiles from lunar regolith for analysis or utilization is one of the most important aspects of future lunar exploration. However, the low thermal conductivity of lunar regolith poses a challenge. Here, we conduct simulations to analyze the heat and mass transfer processes within the sample inside the oven. We identify three main factors affecting oven heat‐up rate: water ice content (WIC) in the regolith, oven diameter, and power supply. Taking these factors into account, we devise an oven design and apply it to three case studies: (a) assessing water ice and isotopic composition in Permanently Shadowed Regions, akin to Chang'e‐7 mini‐fly probe missions; (b) measuring noble gases, as Chang'e‐7 and Luna‐27 landers; and (c) large‐scale in‐situ resources utilization (ISRU). The simulation results indicate that water ice can be extracted using sufficiently high heating power without issues. However, the complete extraction of noble gases is challenging and may require alternative heating methods. For ISRU purposes, large ovens can be subdivided into smaller ones by adding internal structures, for example, honeycomb, to improve the heat‐up rate by at least 1.5 times. Additionally, we find that the oven can serve as a scientific payload for WIC measurement using the heating curve. A flowchart of this new WIC measurement method is provided, offering an alternative method to mass spectrometry or spectroscopy measurements.
Eccentricity Paces Late Pleistocene Glaciations
Authors: Blackburn T. , Kodama S. , Piccione G. 
Published: June 2024

AbstractLate Pleistocene glacial terminations are caused by rising atmospheric CO2 occurring in response to atmospheric and ocean circulation changes induced by increased discharge from Northern Hemisphere ice sheets. While climate records place glacial terminations coincident with decreasing orbital precession, it remains unclear why a specific precession minimum causes a termination. We compare the orbital and ice volume configuration at each precession minima over the last million years to demonstrate that eccentricity, through its control on precession amplitude, period and coherence with obliquity, along with ice sheet size, determine whether a given precession minimum will cause a termination. We also demonstrate how eccentricity controls obliquity maxima and precession minima coherence, varying the duration of glaciations. Glaciations lasting ∼100 thousand years are controlled by Earth's eccentricity cycle of the same period, while the shortest (20–40 ka) and longest (155 ka) occupy the maxima and minimums of the 400 thousand year eccentricity cycle.
Elasticity of Single‐Crystal Clinohumite at High Pressures and Temperatures: Implication for the H2O and F Circulation in the Earth's Mantle
Authors: Li Luo , Zhang Qingchun , Yu Yingxin , Sun Ningyu , Mao Zhu , Li Wancai , Li Xinyang , Wang Sha , Ye Yu 
Published: June 2024

AbstractIn this study, we have determined the single‐crystal elasticity of clinohumite [Mg8.85Ti0.19Si3.93O16(OH1.11F0.89)] using Brillouin measurement up to 21 GPa at 300 K and 1 bar at 750 K, respectively. The elasticity of clinohumite was determined to be KS0 = 126.2(3) GPa, G0 = 79.7(2) GPa with pressure derivatives KS′ = 4.2(1), G′ = 1.3(1), pressure derivatives ∂KS/∂T = −0.024(1) GPa/K, and ∂G/∂T = −0.011(1) GPa/K). We comprehensively examined the effects of varying H2O, fluorine content and thermal states, on the velocity and density structures of the subducted harzburgite layer. Assuming a typical H2O content of 2 wt.% within harzburgite, our modeling has shown that hydrous harzburgite with clinohumite as the decomposition product of serpentine along a hot slab geotherm even has the VP and VS 0.4–0.8(6)% greater than it dry counterpart at 250–380 km depth. Yet in the top transition zone, the addition of H2O and F can effectively lower the sound velocities and density. The F‐bearing hydrous harzburgite has the VP and VS 1.1(5)–1.3(3)% lower than its dry counterpart, and only 0.6(5)% and 2.3(5)% greater than the pyrolitic mantle. Along cold slab geotherm, phase A will replace clinohumite as the dominant hydrous phase in the harzburgite, the VP and VS are 4.8(5)–5.3(3)% and 5.9(5)–6.0(3)% greater than the pyrolitic mantle in the upper mantle. In the top transition zone, the difference is approximately 3% in VP and 5% in VS. Our results provide crucial experimental evidence for future assessments of the seismic signals of subducted slabs with different hydrous minerals and thermal states.
Telling Tales of Water Journeys With Isotopic Tracers
Authors: Koren Gerbrand 
Published: June 2024

AbstractDetermining the sources of water inside plants using its isotopic composition is a long‐standing research challenge in ecohydrology. A better understanding of water sources can help improve models and ultimately contribute to more accurate forecasts of water availability, food production, carbon sequestration or ecosystem status. Over the years, several methods have been developed and applied to water source partitioning, and Gai et al. (2023, https://doi.org/10.1029/2022wr033849) provide a systematic assessment of the uncertainty of different isotopic tracers (2H, 3H, 17O, 18O) and mixing models (IsoSource, SIAR, MixSIR, MixSIAR) for an apple tree orchard on the Loess Plateau in north‐central China. For that study area, the combination of 2H and 18O with the MixSIAR mixing model is recommended. Importantly, the systematic assessment provides a framework that can be applied to select a suitable combination of tracers and mixing models for different ecosystems and climate zones. This commentary aims to provide a wider context for a selection of key results from Gai et al. (2023, https://doi.org/10.1029/2022wr033849) and highlight potential future research directions.
Synergistic immunochemotherapy targeted SAMD4B-APOA2-PD-L1 axis potentiates antitumor immunity in hepatocellular carcinoma
Authors: Qi Feng , Zhang Jian , Li Jia , Li Donghe , Gao Na , Qi Zhuoran , Kong Xiuyan , Yu Zhijie , Fang Yuan , Cui Wenguo , Xia Jinglin 
Published: June 2024

AbstractTargeted and immunotherapy combined with interventional therapy can improve the prognosis of advanced cancer patients, and it has become a hot spot to find the new therapeutic schemes, but most of which are not satisfactory. Single-cell RNA sequencing was performed in PDX mouse models with or without TCC therapy. 2-’O-Methylation modification and multiplex immunofluorescence staining were used to explore the function and mechanism of SAMD4B in the immune context of HCC. Here, we propose for the first time a synergistic immunochemotherapy that exerts a potent antitumour effect for patients with advanced hepatocellular carcinoma (HCC) in clinical practice based on three common antitumour drugs and found that HCC patients with new synergistic immunochemotherapy had better three-year overall survival (p = 0.004) and significantly higher survival ratio (increased by 2.3 times) than the control group. We further reveal the immunoregulatory mechanism of synergistic immunochemotherapy through 2’-O-Methylation modification mediated by SAMD4B, a tumour suppressor gene. Mechanistically, SAMD4B, increased by the reduced mutations of upstream genes NOTCH1 and NOTCH2, affected the instability of APOA2 mRNA by 2-’O-Methylation modification of the C-terminus. The decreased APOA2 further attenuated programmed death ligand 1 (PD-L1) level with a direct interaction pattern. The high-SAMD4B tumour tissues contained fewer native CD29+CD8+ T cells, which improved immune microenvironment to achieve the effect of antitumour effect. Overall, we developed a potent synergistic immunochemotherapy strategy that exerts an efficient anti-HCC effect inducing SAMD4B-APOA2-PD-L1 axis to inhibit tumour immune evasion.
TGF-β1 facilitates gallbladder carcinoma metastasis by regulating FOXA1 translation efficiency through m6A modification
Authors: Wu Zhenheng , Ke Qiming , Jiang Lei , Hong Haijie , Pan Wei , Chen Wen , Abudukeremu Xiahenazi , She Feifei , Chen Yanling 
Published: June 2024

AbstractTGF-β1 plays a pivotal role in the metastatic cascade of malignant neoplasms. N6-methyladenosine (m6A) stands as one of the most abundant modifications on the mRNA transcriptome. However, in the metastasis of gallbladder carcinoma (GBC), the effect of TGF-β1 with mRNA m6A modification, especially the effect of mRNA translation efficiency associated with m6A modification, remains poorly elucidated. Here we demonstrated a negative correlation between FOXA1 and TGF-β1 expression in GBC. Overexpression of FOXA1 inhibited TGF-β1-induced migration and epithelial-mesenchymal transition (EMT) in GBC cells. Mechanistically, we confirmed that TGF-β1 suppressed the translation efficiency of FOXA1 mRNA through polysome profiling analysis. Importantly, both in vivo and in vitro experiments showed that TGF-β1 promoted m6A modification on the coding sequence (CDS) region of FOXA1 mRNA, which was responsible for the inhibition of FOXA1 mRNA translation by TGF-β1. We demonstrated through MeRIP and RIP assays, dual-luciferase reporter assays and site-directed mutagenesis that ALKBH5 promoted FOXA1 protein expression by inhibiting m6A modification on the CDS region of FOXA1 mRNA. Moreover, TGF-β1 inhibited the binding capacity of ALKBH5 to the FOXA1 CDS region. Lastly, our study confirmed that overexpression of FOXA1 suppressed lung metastasis and EMT in a nude mice lung metastasis model. In summary, our research findings underscore the role of TGF-β1 in regulating TGF-β1/FOXA1-induced GBC EMT and metastasis by inhibiting FOXA1 translation efficiency through m6A modification.
Dysregulation of SNX1-retromer axis in pharmacogenetic models of Parkinson’s disease
Authors: Yoshida Shun , Hasegawa Takafumi , Nakamura Takaaki , Sato Kazuki , Sugeno Naoto , Ishiyama Shun , Sekiguchi Kiyotoshi , Tobita Muneshige , Takeda Atsushi , Aoki Masashi 
Published: June 2024

AbstractSince the identification of vacuolar protein sorting (VPS) 35, as a causative molecule for familial Parkinson’s disease (PD), retromer-mediated endosomal machinery has been a rising factor in the pathogenesis of the disease. The retromer complex cooperates with sorting nexin (SNX) dimer and DNAJC13, another causal molecule in PD, to transport cargoes from endosomes to the trans-Golgi network, and is also involved in mitochondrial dynamics and autophagy. Retromer dysfunction may induce neuronal death leading to PD via several biological cascades, including misfolded, insoluble α-synuclein (aS) accumulation and mitochondrial dysfunction; however, the detailed mechanisms remain poorly understood. In this study, we showed that the stagnation of retromer-mediated retrograde transport consistently occurs in different PD-mimetic conditions, i.e., overexpression of PD-linked mutant DNAJC13, excess aS induction, or toxin-induced mitochondrial dysfunction. Mechanistically, DNAJC13 was found to be involved in clathrin-dependent retromer transport as a functional modulator of SNX1 together with heat shock cognate 70 kDa protein (Hsc70), which was controlled by the binding and dissociation of DNAJC13 and SNX1 in an Hsc70 activity-dependent manner. In addition, excess amount of aS decreased the interaction between SNX1 and VPS35, the core component of retromer. Furthermore, R33, a pharmacological retromer chaperone, reduced insoluble aS and mitigated rotenone-induced neuronal apoptosis. These findings suggest that retrograde transport regulated by SNX1-retromer may be profoundly involved in the pathogenesis of PD and is a potential target for disease-modifying therapy for the disease.