bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decentring histories of science diplomacy: cases from Asia
Authors: Barrett Gordon , Homei Aya 
Published: May 2024

This special issue brings together a diverse set of cases from Asia with the aim of decentring established historical narratives about science diplomacy. With a critical perspective bringing together the bodies of literature in the fields of the History of Science, Technology and Medicine (STM) and critical Asian Studies, we argue that these cases foreground a geopolitical history with multiple forms of sovereignty – often contested ones – and a range of political institutions and actors that enables us to revisit science diplomacy as a means for understanding the relationship between science and international affairs. In doing so, the articles in this issue consciously eschew the normative ‘centring’ of superpowers or Western imperial powers as the primary actors, focusing instead on the agency and subjectivity of actors within Asia, many of whom were prominent in their respective local contexts. Additionally, we argue that the cases presented here, which examine issues from across science, technology, medicine and the environment, collectively demonstrate the further need for the ‘science’ in ‘science diplomacy’ to be interpreted more broadly, incorporating as it does many aspects of human engagement with the material world.
Complete mitochondrial genome of Scathophaga stercoraria (Diptera: Scathophagidae) in wild plateau pika: genome descriptions and phylogenetic evolution
Authors: Zhang Haining , Chen Wangkai , Meng Ru , Duo Hong , Zhang Xueyong , Guo Zhihong , Shen Xiuying , Liu Qing , Li Zhi , Sun Donglei , Fu Yong 
Published: May 2024

Abstract
As a member of the Scathophagidae family, Scathophaga stercoraria (S. stercoraria) is widely distributed globally and is closely associated with animal feces. It is also a species of great interest to many scientific studies. However, its phylogenetic relationships are poorly understood. In this study, S. stercoraria was found in plateau pikas for the first time. The potential cause of its presence in the plateau pikas was discussed and it was speculated that the presence of S. stercoraria was related to the yak feces. In addition, 2 nuclear genes (18SrDNA and 28SrDNA), 1 mitochondrial gene (COI), and the complete mitochondrial genome of S. stercoraria were sequenced. Phylogenetic trees constructed based on 13 Protein coding genes (13PCGs), 18S and 28S rDNA showed that S. stercoraria is closely related to the Calliphoridae family; phylogenetic results based on COI suggest that within the family Scathophagidae, S. stercoraria is more closely related to the genus Leptopa, Micropselapha, Parallelomma and Americina. Divergence times estimated using the COI gene suggest that the divergence formation of the genus Scathophaga is closely related to changes in biogeographic scenarios and potentially driven by a combination of uplift of the Qinghai-Tibetan Plateau (QTP) and dramatic climate changes. These results provide valuable information for further studies on the phylogeny and differentiation of the Scathophaga genus in the future.
Brain activity during reappraisal and associations with psychotherapy response in social anxiety and major depression: a randomized trial
Authors: Feurer Cope , Jimmy Jagan , Uribe Melissa , Shankman Stewart A. , Langenecker Scott A. , Craske Michelle G. , Ajilore Olusola , Phan K. Luan , Klumpp Heide 
Published: May 2024

AbstractBackgroundCognitive behavioral therapy (CBT) is an effective treatment for patients with social anxiety disorder (SAD) or major depressive disorder (MDD), yet there is variability in clinical improvement. Though prior research suggests pre-treatment engagement of brain regions supporting cognitive reappraisal (e.g. dorsolateral prefrontal cortex [dlPFC]) foretells CBT response in SAD, it remains unknown if this extends to MDD or is specific to CBT. The current study examined associations between pre-treatment neural activity during reappraisal and clinical improvement in patients with SAD or MDD following a trial of CBT or supportive therapy (ST), a common-factors comparator arm.MethodsParticipants were 75 treatment-seeking patients with SAD (n = 34) or MDD (n = 41) randomized to CBT (n = 40) or ST (n = 35). Before randomization, patients completed a cognitive reappraisal task during functional magnetic resonance imaging. Additionally, patients completed clinician-administered symptom measures and a self-report cognitive reappraisal measure before treatment and every 2 weeks throughout treatment.ResultsResults indicated that pre-treatment neural activity during reappraisal differentially predicted CBT and ST response. Specifically, greater trajectories of symptom improvement throughout treatment were associated with less ventrolateral prefrontal cortex (vlPFC) activity for CBT patients, but more vlPFC activity for ST patients. Also, less baseline dlPFC activity corresponded with greater trajectories of self-reported reappraisal improvement, regardless of treatment arm.ConclusionsIf replicated, findings suggest individual differences in brain response during reappraisal may be transdiagnostically associated with treatment-dependent improvement in symptom severity, but improvement in subjective reappraisal following psychotherapy, more broadly.
‘The Word of God taking up space’: Assessing the christological analogy for scripture
Authors: Platter Jonathan M. 
Published: May 2024

AbstractThis essay provides an assessment of the christological analogy for scripture, particularly for its usefulness in aid of a theological ontology of scripture. This analogy implies that scripture has something like ‘two natures’ – human and divine – like Jesus Christ has two natures. I argue that assessment of the analogy has been impaired by a lack of clarity in its application. On the one hand, the ambiguity relates to a tendency to apply the analogy for the (modernist) purposes of securing epistemic authority. On the other hand, I show that there are in fact three distinct forms of the analogy, each implying different things about the ‘twoness’ of scripture as well as its unity. After outlining the three forms of the analogy, I critically assess the unity they ascribe to scripture by means of the analogy.
Association analysis of grain mould resistance in a core collection of NPGS Ethiopian sorghum germplasm
Authors: Cuevas Hugo E. , Prom Louis K. 
Published: May 2024

AbstractThe Ethiopian core collection of the USDA-Agriculture Research Service, National Plant Germplasm System (NPGS) includes 376 accessions and a genomic characterization that revealed 151,210 single nucleotide polymorphisms. This collection, however, lacks phenotypic characterization for several important agriculture traits. A total of 330 accessions from this NPGS Ethiopian core set were evaluated for grain mould resistance response across four tropical environments. Most of the accessions in the NPGS Ethiopian collection showed susceptibility to grain mould based on the low emergence rate and high seed deterioration observed in the seeds. The population structure of the collection was not related to grain mould resistance response suggesting this germplasm originated in regions with low disease pressure. The analysis identified two accessions with high emergence (PI 457867 and PI 454221) and three (PI 455036, PI 455213 and PI 330821) with low seed degradation. Genome-wide association analysis found genomic regions in chromosome 1, 3 and 8 associated with the observed grain mould resistance variation. Candidate gene analysis within these three loci identified diseases resistance genes involved in pathogen recognition and signalling cascades of the plant immunity system. These five NPGS Ethiopian accessions are candidates for use in a pre-breeding germplasm programme to develop improved germplasm with grain mould resistance.
Ultrahigh frequency path loss prediction based on K-nearest neighbors
Authors: Tikaria Mamta , Nigam Vineeta Saxena 
Published: May 2024

AbstractPath loss prediction (PLP) is an important feature of wireless communications because it allows a receiver to anticipate the signal strength that will be received from a transmitter at a given distance. The PLP is done by using machine learning models that take into account numerous aspects such as the frequency of the signal, the surroundings, and the type of antenna. Various machine learning methods are used to anticipate path loss propagation but it is difficult to predict path loss in unknown propagation conditions. In existing models rely on incomplete or outdated data, which can affect the accuracy and reliability of predictions and they do not take into account the effects of environmental factors, such as terrain, foliage, and weather conditions, on path loss. Furthermore, existing models are not robust enough to handle the real-world variability and uncertainty, leading to significant errors in predictions. To tackle this issue, a novel ultrahigh frequency (UHF) PLP based on K-nearest neighbors (KNNs) is developed for predicting and optimizing the path loss for UHF. In this proposed model, a KNN-based PLP has been used to predict the path loss in the UHF. This technique is used for high-accuracy PLP through KNN forecast route loss by determining the K-nearest data points to a particular test point based on a distance metric. Moreover, the existing models were not able to optimize path loss due to complex and large-scale machine learning models. Therefore, the stochastic gradient descent technique has been used to minimize the objective function, which is often a measure of the difference between the model’s predictions and the actual output that will fine-tune the parameters of the KNN model, by measuring the similarity between data points. This model is implemented using Python to make it a lot more convenient.
Cloud Properties and Boundary Layer Stability Above Southern Ocean Sea Ice and Coastal Antarctica
Authors: Knight C. L. , Mallet M. D. , Alexander S. P. , Fraser A. D. , Protat A. , McFarquhar G. M. 
Published: May 2024

AbstractSignificant variability in climate predictions originates from the simulated cloud cover over the Southern Ocean. Historically, Southern Ocean cloud and aerosol properties have been less studied than their northern hemisphere counterparts, and cloud‐sea‐ice interactions over the Southern Ocean also remain largely unexamined. We used data from combined radar, lidar, radiometer, radiosonde, and ERA5 reanalysis profiles to investigate cloud property relationships to cloud temperature, sea‐ice concentration, and boundary layer stability. Our findings show correlations between both cloud macrophysical properties and radiative effects and sea‐ice concentration, and that the marine atmospheric boundary layer is more stable over higher sea‐ice concentrations. Mixed‐phase cloud frequency of occurrence was highest over the sea‐ice zone at 15%, three times higher than over cold water south of the Antarctic Polar Front. For temperatures greater than −15°C, low‐level, single‐layer clouds were more likely to precipitate ice if they were coupled to cold‐water or sea‐ice surfaces than if they were decoupled from these surfaces, with the highest percentage of clouds precipitating ice observed over sea ice. These findings suggest a surface source of ice‐nucleating particles at high southern latitudes that increases cloud glaciation probability. We discuss the implications of our results for future studies into the relationship between cloud properties, aerosols, sea ice, and boundary layer stability at high latitudes over the Southern Ocean.
Magnetospheric Sources of Theta Aurora: A Case Study Comparing Observations With SWMF Global Simulation
Authors: Hill S. C. , Pulkkinen T. I. , Brenner A. , Al Shidi Q. , Mukhopadhyay A. , Kullen A. , Frey H. , Zou S. , Liemohn M. 
Published: May 2024

AbstractWe present the first high resolution global MHD with coupled inner magnetosphere simulation results of an observed theta aurora event. We use the Space Weather Modeling Framework in the Geospace configuration, which produces accurate field aligned current closure in the ionosphere that is integral to theta aurora formation. At the location of the observed theta aurora, the simulation produces a narrow channel of Joule heating along both open and closed field lines, and between a pair of oppositely directed field‐aligned current sheets in the ionosphere. We demonstrate that this Joule heating pattern that we identify as theta aurora maps to a reconnection region at the magnetotail flanks as well as in the distant magnetotail. The theta aurora maps to a cross‐tail current disruption and field‐aligned current source region in a highly twisted magnetotail.
Tracking Gross Primary Productivity Using Satellite Solar Induced Fluorescence: Insights Across Agricultural Ecosystems of India
Authors: Behera Subhrasita , Dutta Debsunder 
Published: May 2024

AbstractAccurately estimating gross primary productivity (GPP) in heterogeneous cropping systems from satellite data poses a challenge. In this study, for the first time, we examined how satellite solar‐induced chlorophyll fluorescence (SIF) tracks GPP in India's diverse cropping system. A significant correlation (r = 0.70–0.90, p ≤ 0.05) at 0.0833° spatial resolution is observed between 8daily and monthly FLUXCOM GPP and Global Ozone Monitoring Experiment‐2 (GOME‐2) SIF. Compared to GOME‐2 SIF the finer resolution, TROPOspheric Monitoring Instrument (TROPOMI) SIF showed greater potential (r = 0.80–0.95, p ≤ 0.05) in estimating GPP and crop productivity, except for Southern and Northeastern parts of India. These regions of India have heterogeneous cropland and low crop area fraction as identified from normalized difference vegetation index (NDVI), near‐infrared reflectance of vegetation and local moran's index map of NDVI. This heterogeneity leads to differences in the timing of growth stages across the annual cycle, such that the SIF signal is characterized by low seasonal variability across the cycle, leading to low correlation between GPP and SIF. Further, in addition to physiological control the intra‐annual variability of GPP‐SIF relationship (GPP/SIF ratio) is influenced by temperature, radiation, and moisture availability during peak/late growing seasons. However, in the early growing season, it primarily relies on soil moisture. Our findings should help improve GPP estimation using SIF across the agricultural ecosystems of India.
Holocene Temperature and Water Stress in the Peruvian Andes: Insights From Lake Carbonate Clumped and Triple Oxygen Isotopes
Authors: Katz Sarah A. , Levin Naomi E. , Abbott Mark B. , Rodbell Donald T. , Passey Benjamin H. , DeLuca Nicole M. , Larsen Darren J. , Woods Arielle 
Published: May 2024

AbstractGlobal climate during the Holocene was relatively stable compared to the late Pleistocene. However, evidence from lacustrine records in South America suggests that tropical latitudes experienced significant water balance variability during the Holocene, rather than quiescence. For example, a tight coupling between insolation and carbonate δ18O records from central Andean lakes (e.g., Lakes Junín, Pumacocha) suggest water balance is tied directly to South American summer monsoon (SASM) strength. However, lake carbonate δ18O records also incorporate information about temperature and evaporation. To overcome this ambiguity, clumped and triple oxygen isotope records can provide independent constraints on temperature and evaporation. Here, we use clumped and triple oxygen isotopes to develop Holocene temperature and evaporation records from three central Andean lakes, Lakes Junín, Pumacocha, and Mehcocha, to build a more complete picture of regional water balance (P–E). We find that Holocene water temperatures at all three lakes were stable and slightly warmer than during the latest Pleistocene. These results are consistent with global data assimilations and records from the foothills and Amazon basin. In contrast, evaporation was highly variable and tracks SASM intensity. The hydrologic response of each lake to SASM depends greatly on the physical characteristics of the lake basin, but they all record peak evaporation in the early to mid‐Holocene (11,700 to 4,200 years BP) when regional insolation was relatively low and the SASM was weak. These results corroborate other central Andean records and suggest synchronous, widespread water stress tracks insolation‐paced variability in SASM strength.
Soil Moisture Memory: State‐Of‐The‐Art and the Way Forward
Authors: Rahmati Mehdi , Amelung Wulf , Brogi Cosimo , Dari Jacopo , Flammini Alessia , Bogena Heye , Brocca Luca , Chen Hao , Groh Jannis , Koster Randal D. , McColl Kaighin A. , Montzka Carsten , Moradi Shirin , Rahi Arash , Sharghi S. Farnaz , Vereecken Harry 
Published: May 2024

AbstractSoil moisture is an essential climate variable of the Earth system. Understanding its spatiotemporal dynamics is essential for predicting weather patterns and climate variability, monitoring and mitigating the effects and occurrence of droughts and floods, improving irrigation in agricultural areas, and sustainably managing water resources. Here we review in depth how soils can remember information on soil moisture anomalies over time, as embedded in the concept of soil moisture memory (SMM). We explain the mechanisms underlying SMM and explore its external and internal drivers; we also discuss the impacts of SMM on different land surface processes, focusing on soil‐plant‐atmosphere coupling. We explore the spatiotemporal variability, seasonality, locality, and depth‐dependence of SMM and provide insights into both improving its characterization in land surface models and using satellite observations to quantify it. Finally, we offer guidance for further research on SMM.
Quantifying the Hydrological Impacts of Irrigation on a Mediterranean Agricultural Context Through Explicit Satellite‐Derived Irrigation Estimates
Authors: Dari J. , Quintana‐Seguí P. , Barella‐Ortiz A. , Rahmati M. , Saltalippi C. , Flammini A. , Brocca L. 
Published: May 2024

AbstractWater budget over anthropized basins is profoundly altered by human interventions, among which irrigation prevails. This study investigates how such water use affects hydrological flux and state variables by comparing two SURFEX/ISBA (SURFace EXternalisée/Interaction Sol Biosphère Atmosphère) Land Surface Model simulations performed over a portion of the Ebro basin (Spain) that includes a heavily irrigated area. The first simulation is forced by atmospheric input only, while the second one is fed with atmospheric forcing plus remote sensing‐derived irrigation amounts added to the liquid precipitation. Four main hydrological output variables are compared under the two configurations: surface soil moisture (SM), total evaporative flux (i.e., the sum of components from bare soil and vegetation) (E), drainage, and runoff. Results indicate that SM and E are the variables mostly impacted during the main watering season. Considering mean daily rates per each month, a maximum increase of +30% and of +220% is found over the irrigation districts in July for SM and E, respectively. The reliability of the results is supported by comparisons with satellite evapotranspiration data from MODIS (MODerate‐resolution Imaging Spectroradiometer). The inclusion of irrigation reduces the RMSE between monthly anomalies of modeled E and of MODIS reference data by 41% during the main watering season. Further validation through wavelet coherence analysis is also proposed. This study sheds light on the potential of explicit satellite‐derived irrigation water use data that, when integrated into modeling platforms, allow us to track and quantify anthropogenic impacts on water resources.
Multiomics profiling reveals VDR as a central regulator of mesenchymal stem cell senescence with a known association with osteoporosis after high-fat diet exposure
Authors: Chen Jiayao , Kuang Shuhong , Cen Jietao , Zhang Yong , Shen Zongshan , Qin Wei , Huang Qiting , Wang Zifeng , Gao Xianling , Huang Fang , Lin Zhengmei 
Published: May 2024

AbstractThe consumption of a high-fat diet (HFD) has been linked to osteoporosis and an increased risk of fragility fractures. However, the specific mechanisms of HFD-induced osteoporosis are not fully understood. Our study shows that exposure to an HFD induces premature senescence in bone marrow mesenchymal stem cells (BMSCs), diminishing their proliferation and osteogenic capability, and thereby contributes to osteoporosis. Transcriptomic and chromatin accessibility analyses revealed the decreased chromatin accessibility of vitamin D receptor (VDR)-binding sequences and decreased VDR signaling in BMSCs from HFD-fed mice, suggesting that VDR is a key regulator of BMSC senescence. Notably, the administration of a VDR activator to HFD-fed mice rescued BMSC senescence and significantly improved osteogenesis, bone mass, and other bone parameters. Mechanistically, VDR activation reduced BMSC senescence by decreasing intracellular reactive oxygen species (ROS) levels and preserving mitochondrial function. Our findings not only elucidate the mechanisms by which an HFD induces BMSC senescence and associated osteoporosis but also offer new insights into treating HFD-induced osteoporosis by targeting the VDR-superoxide dismutase 2 (SOD2)-ROS axis.
Flexible wide-range multidimensional force sensors inspired by bones embedded in muscle
Authors: Zhang Jie , Hou Xiaojuan , Qian Shuo , Huo Jiabing , Yuan Mengjiao , Duan Zhigang , Song Xiaoguang , Wu Hui , Shi Shuzheng , Geng Wenping , Mu Jiliang , He Jian , Chou Xiujian 
Published: May 2024

AbstractFlexible sensors have been widely studied for use in motion monitoring, human‒machine interactions (HMIs), personalized medicine, and soft intelligent robots. However, their practical application is limited by their low output performance, narrow measuring range, and unidirectional force detection. Here, to achieve flexibility and high performance simultaneously, we developed a flexible wide-range multidimensional force sensor (FWMFS) similar to bones embedded in muscle structures. The adjustable magnetic field endows the FWMFS with multidimensional perception for detecting forces in different directions. The multilayer stacked coils significantly improved the output from the μV to the mV level while ensuring FWMFS miniaturization. The optimized FWMFS exhibited a high voltage sensitivity of 0.227 mV/N (0.5–8.4 N) and 0.047 mV/N (8.4–60 N) in response to normal forces ranging from 0.5 N to 60 N and could detect lateral forces ranging from 0.2–1.1 N and voltage sensitivities of 1.039 mV/N (0.2–0.5 N) and 0.194 mV/N (0.5–1.1 N). In terms of normal force measurements, the FWMFS can monitor finger pressure and sliding trajectories in response to finger taps, as well as measure plantar pressure for assessing human movement. The plantar pressure signals of five human movements collected by the FWMFS were analyzed using the k-nearest neighbors classification algorithm, which achieved a recognition accuracy of 92%. Additionally, an artificial intelligence biometric authentication system is being developed that classifies and recognizes user passwords. Based on the lateral force measurement ability of the FWMFS, the direction of ball movement can be distinguished, and communication systems such as Morse Code can be expanded. This research has significant potential in intelligent sensing and personalized spatial recognition.