bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multiband truncated patch antenna based on EBG structure for IoMT and 5G networks
Authors: Raj Saurabh , Mishra Piyush Kumar , Tripathi Vijay Shanker 
Published: May 2023

AbstractIn this paper, a truncated patch antenna based on the electromagnetic band gap (EBG) structure has been proposed. The fabricated antenna has five operating frequencies at 10.4, 15.68, 19.68, 27.2, and 35.04 GHz. The fabricated prototype of the antenna constitutes a truncated rectangular patch etched with the shape of a symmetrical slot (on top) and an EBG loaded on the ground plane of the dielectric substrate. The optimized volume of the antenna is 20 × 15 × 1.57 mm3. The proposed antenna gives a good radiation pattern for the E-H field in all covered bandwidth and also achieved better performances related to the reference papers. A multiband antenna also covered the 5 G bandwidth, which resonates at 27.2 GHz from 24.2 GHz to 27.84 GHz bandwidth and at 35.04 GHz from 33.84 GHz to 36.2 GHz bandwidth, which can be used in the Internet of Medical Things. On the other hand, X/Ku/K frequency bands have been committed for wireless communication where the multiband antenna can be used to help in monitoring, especially in the case of data transmission from radio frequency sensors to health-care system in real-time applications.
Influence of burial depth and soil disturbance on the emergence of common weed species in the Iberian Peninsula
Authors: Sousa-Ortega Carlos , Leon Ramon G. , Lopez-Martinez Nuria , Castro-Valdecantos Pedro 
Published: May 2023

AbstractNorth African knapweed (Centaurea diluta Aiton), cornflower (Centaurea cyanus L.), corn marigold [Glebionis segetum (L.) Fourr.], rigid ryegrass (Lolium rigidum Gaudin), and corn poppy (Papaver rhoeas L.) are weeds of economic importance in the Iberian Peninsula, particularly due to limited herbicide options for effective control. For this reason, information about their seedling emergence has become critical to develop effective integrated management strategies and better time control actions. The aims of this study were to evaluate the effect of seed burial depth and soil disturbance on the emergence of these weed species. Two pot experiments were carried out to (1) quantify seedling emergence at three burial depths (2, 5, and 9 cm) and (2) characterize seedling emergence in response to different frequencies and timings of soil disturbance. Burial depth limited the emergence of G. segetum and P. rhoeas at 5 and 9 cm, respectively; while seedling emergence of C. diluta, C. cyanus, and L. rigidum were reduced by 92%, 90%, and 67% at 9 cm compared with 2 cm, respectively. Two or more sequential soil disturbance events increased total seedling emergence of C. diluta, P. rhoeas, and G. segetum compared with single events, while L. rigidum did not respond to repeated soil disturbance. These results suggest that turning the soil to bury weed seeds down to 5 cm or deeper would be a very effective method to control G. segetum and P. rhoeas and moderately effective to control C. cyanus. Also, the use of a stale seedbed would have some efficacy to reduce P. rhoeas and C. diluta weed pressure within the crop. This study illustrates how differences among species in seedling emergence in response to soil depth and disturbance can determine distinct emergence patterns ultimately influencing the selection of weed control tools and timing.
Statistical Study of EMIC Waves and Related Proton Distributions Observed by the Arase Satellite
Authors: Jun C.‐W. , Miyoshi Y. , Nakamura S. , Shoji M. , Kitahara M. , Hori T. , Yue C. , Bortnik J. , Lyons L. , Min K. , Kasahara Y. , Tsuchiya F. , Kumamoto A. , Asamura K. , Shinohara I. , Matsuoka A. , Imajo S. , Yokota S. , Kasahara S. , Keika K. 
Published: May 2023

AbstractWe performed a statistical study of electromagnetic ion cyclotron (EMIC) wave distributions and their coupling with energetic protons in the inner magnetosphere using the Arase satellite data from May 2017 to December 2020. We investigated the energetic proton pitch‐angle distributions and partial thermal pressures associated with EMIC waves using inter‐calibrated proton data in the energy range of 30 eV/q–187 keV/q. With a cold plasma approximation, we computed the proton minimum resonance energies using the observed EMIC wave frequency and plasma density values. We found that the EMIC waves had left‐handed polarization near the magnetic equator close to the threshold of proton cyclotron instability, and propagated to higher latitudes along the field line with polarization reversal. H‐EMIC waves showed two peak occurrence regions in the morning and noon sectors at L = 7.5–9 outside the plasmasphere. The flux enhancements associated with morning side H‐EMIC waves appeared at E < 1 keV/q among all pitch angles, while H‐EMIC waves in the noon sector exhibited flux enhancement in field‐aligned directions at E = 1–100 keV/q. He‐EMIC waves showed a broad occurrence region from 12 to 20 magnetic local time at L = 5.5–8.5 inside the plasmasphere with strong flux enhancements at all pitch‐angle ranges at E = 1–100 keV/q. The proton minimum resonance energy using the obtained central frequency was consistent with the observed flux enhancements at different peak occurrence regions. We conclude that the free energy sources of EMIC waves in different geomagnetic environments drive various types of EMIC waves, and they interact with energetic protons at different energy ranges.
A Model Integrating Satellite‐Derived Shoreline Observations for Predicting Fine‐Scale Shoreline Response to Waves and Sea‐Level Rise Across Large Coastal Regions
Authors: Vitousek Sean , Vos Kilian , Splinter Kristen D. , Erikson Li , Barnard Patrick L. 
Published: May 2023

AbstractSatellite‐derived shoreline observations combined with dynamic shoreline models enable fine‐scale predictions of coastal change across large spatiotemporal scales. Here, we present a satellite‐data‐assimilated, “littoral‐cell”‐based, ensemble Kalman‐filter shoreline model to predict coastal change and uncertainty due to waves, sea‐level rise (SLR), and other natural and anthropogenic processes. We apply the developed ensemble model to the entire California coastline (approximately 1,760 km), much of which is sparsely monitored with traditional survey methods (e.g., Lidar/GPS). Water‐level‐corrected, satellite‐derived shoreline observations (obtained from the CoastSat toolbox) offer a nearly unbiased representation of in situ surveyed shorelines (e.g., mean sea‐level elevation contours) at Ocean Beach, San Francisco. We demonstrate that model calibration with satellite observations during a 20‐year hindcast period (1995–2015) provides nearly equivalent model forecast accuracy during a validation period (2015–2020) compared to model calibration with monthly in situ observations at Ocean Beach. When comparing model‐predicted shoreline positions to satellite‐derived observations, the model achieves an accuracy of <10 m RMSE for nearly half of the entire California coastline for the validation period. The calibrated/validated model is then applied for multi‐decadal simulations of shoreline change due to projected wave and sea‐level conditions, while holding the model parameters fixed. By 2100, the model estimates that 24%–75% of California's beaches may become completely eroded due to SLR scenarios of 1.0–3.0 m, respectively. The satellite‐data‐assimilated modeling system presented here is generally applicable to a variety of coastal settings around the world owing to the global coverage of satellite imagery.
Analysis of Organic Matter Decomposition in the Salt Marshes of the Venice Lagoon (Italy) Using Standard Litter Bags
Authors: Puppin A. , Roner M. , Finotello A. , Ghinassi M. , Tommasini L. , Marani M. , D'Alpaos A. 
Published: May 2023

AbstractTidal salt marshes are widespread along the World's coasts, and are ecologically and economically important as they provide several valuable ecosystem services. In particular, their significant primary production, coupled with sustained vertical accretion rates, enables marshes to sequester and store large amounts of organic carbon and makes them one of the most carbon‐rich ecosystems on Earth. Organic carbon accumulation results from the balance between inputs, that is, organic matter produced by local plants or imported, and outputs through decomposition and erosion. Additionally, organic matter deposition actively contributes to marsh vertical accretion, thus critically affecting the resilience of marsh ecosystems to rising relative sea levels. A better understanding of organic‐matter dynamics in salt marshes is key to address salt‐marsh conservation issues and to elucidate marsh importance within the global carbon cycle. Toward this goal, we empirically derived rates of organic matter decomposition by burying 712 commercially available tea bags at different marshes in the microtidal Venice Lagoon (Italy), and by analyzing them following the Tea Bag Index protocol. We find values of the decomposition rate (k) and stabilization factor (S) equal to 0.012 ± 0.003 days−1 and 0.15 ± 0.063, respectively. Water temperature critically affects organic matter decomposition, enhancing decomposition rates by 8% per °C on average. We argue that, at least in the short term, the amount of undecomposed organic matter that actively contributes to carbon sequestration and marsh vertical accretion strongly depends on the initial organic matter quality, which is a function of marsh and vegetation characteristics.
Global Synthesis of Regional Holocene Hydroclimate Variability Using Proxy and Model Data
Authors: Hancock Christopher L. , McKay Nicholas P. , Erb Michael P. , Kaufman Darrell S. , Routson Cody R. , Ivanovic Ruza F. , Gregoire Lauren J. , Valdes Paul 
Published: May 2023

AbstractSubstantial changes in terrestrial hydroclimate during the Holocene are recorded in geological archives and simulated by computer models. To identify spatial and temporal patterns during the past 12 ka, proxy records sensitive to changing precipitation and effective moisture (precipitation minus evaporation) were compiled from across the globe (n = 813). Proxy composite timeseries were computed for 30 of the IPCC AR6 regions and compared to two full‐Holocene transient model simulations (TraCE‐21ka and HadCM3) and twelve mid‐Holocene CMIP6 simulations. We find that throughout Northern Hemisphere monsoon regions, proxy and model simulations indicate wetter‐than‐modern conditions during the early and mid‐Holocene while Southern Hemisphere monsoon regions were drier. This insolation driven trend toward modern values began approximately 6,000 years ago, and the clear agreement among proxy records and models may reflect the large magnitude of precipitation change and consistent atmospheric circulation forcing mechanism for these regions. In the midlatitudes, the pattern of change is less certain. Generally, proxy composites show a wetting trend throughout the Holocene for the northern midlatitudes, possibly due to strengthening westerlies from an increasing latitudinal temperature gradient. However, simulations indicate that the magnitude of change was relatively low, and for portions of North America, there is a proxy‐model disagreement. At high latitudes, hydroclimate is positively correlated with temperature in both proxies and models, consistent with projected wetting as temperatures rise. Overall, this large proxy database reveals a coherent pattern of hydroclimate variability despite the challenges associated with reconstructing hydroclimate fields.
PLEKHG5 is stabilized by HDAC2-related deacetylation and confers sorafenib resistance in hepatocellular carcinoma
Authors: Sha Yu , Pan Mingang , Chen Yunmeng , Qiao Liangjun , Zhou Hengyu , Liu Dina , Zhang Wenlu , Wang Kai , Huang Luyi , Tang Ni , Qiu Jianguo , Huang Ailong , Xia Jie 
Published: May 2023

AbstractSorafenib is the first FDA-approved first-line targeted drug for advanced HCC. However, resistance to sorafenib is frequently observed in clinical practice, and the molecular mechanism remains largely unknown. Here, we found that PLEKHG5 (pleckstrin homology and RhoGEF domain containing G5), a RhoGEF, was highly upregulated in sorafenib-resistant cells. PLEKHG5 overexpression activated Rac1/AKT/NF-κB signaling and reduced sensitivity to sorafenib in HCC cells, while knockdown of PLEKHG5 increased sorafenib sensitivity. The increased PLEKHG5 was related to its acetylation level and protein stability. Histone deacetylase 2 (HDAC2) was found to directly interact with PLEKHG5 to deacetylate its lysine sites within the PH domain and consequently maintain its stability. Moreover, knockout of HDAC2 (HDAC2 KO) or selective HDAC2 inhibition reduced PLEKHG5 protein levels and thereby enhanced the sensitivity of HCC to sorafenib in vitro and in vivo, while overexpression of PLEKHG5 in HDAC2 KO cells reduced the sensitivity to sorafenib. Our work showed a novel mechanism: HDAC2-mediated PLEKHG5 posttranslational modification maintains sorafenib resistance. This is a proof-of-concept study on targeting HDAC2 and PLEKHG5 in sorafenib-treated HCC patients as a new pharmaceutical intervention for advanced HCC.
Cochlear transcript diversity and its role in auditory functions implied by an otoferlin short isoform
Authors: Liu Huihui , Liu Hongchao , Wang Longhao , Song Lei , Jiang Guixian , Lu Qing , Yang Tao , Peng Hu , Cai Ruijie , Zhao Xingle , Zhao Ting , Wu Hao 
Published: May 2023

AbstractIsoforms of a gene may contribute to diverse biological functions. In the cochlea, the repertoire of alternative isoforms remains unexplored. We integrated single-cell short-read and long-read RNA sequencing techniques and identified 236,012 transcripts, 126,612 of which were unannotated in the GENCODE database. Then we analyzed and verified the unannotated transcripts using RNA-seq, RT-PCR, Sanger sequencing, and MS-based proteomics approaches. To illustrate the importance of identifying spliced isoforms, we investigated otoferlin, a key protein involved in synaptic transmission in inner hair cells (IHCs). Upon deletion of the canonical otoferlin isoform, the identified short isoform is able to support normal hearing thresholds but with reduced sustained exocytosis of IHCs, and further revealed otoferlin functions in endocytic membrane retrieval that was not well-addressed previously. Furthermore, we found that otoferlin isoforms are associated with IHC functions and auditory phenotypes. This work expands our mechanistic understanding of auditory functions at the level of isoform resolution.
From a drug repositioning to a structure-based drug design approach to tackle acute lymphoblastic leukemia
Authors: Saez-Ayala Magali , Hoffer Laurent , Abel Sébastien , Ben Yaala Khaoula , Sicard Benoit , Andrieu Guillaume P. , Latiri Mehdi , Davison Emma K. , Ciufolini Marco A. , Brémond Paul , Rebuffet Etienne , Roche Philippe , Derviaux Carine , Voisset Edwige , Montersino Camille , Castellano Remy , Collette Yves , Asnafi Vahid , Betzi Stéphane , Dubreuil Patrice , Combes Sébastien , Morelli Xavier 
Published: May 2023

AbstractCancer cells utilize the main de novo pathway and the alternative salvage pathway for deoxyribonucleotide biosynthesis to achieve adequate nucleotide pools. Deoxycytidine kinase is the rate-limiting enzyme of the salvage pathway and it has recently emerged as a target for anti-proliferative therapies for cancers where it is essential. Here, we present the development of a potent inhibitor applying an iterative multidisciplinary approach, which relies on computational design coupled with experimental evaluations. This strategy allows an acceleration of the hit-to-lead process by gradually implementing key chemical modifications to increase affinity and activity. Our lead compound, OR0642, is more than 1000 times more potent than its initial parent compound, masitinib, previously identified from a drug repositioning approach. OR0642 in combination with a physiological inhibitor of the de novo pathway doubled the survival rate in a human T-cell acute lymphoblastic leukemia patient-derived xenograft mouse model, demonstrating the proof-of-concept of this drug design strategy.
Multi-omic approach characterises the neuroprotective role of retromer in regulating lysosomal health
Authors: Daly James L. , Danson Chris M. , Lewis Philip A. , Zhao Lu , Riccardo Sara , Di Filippo Lucio , Cacchiarelli Davide , Lee Daehoon , Cross Stephen J. , Heesom Kate J. , Xiong Wen-Cheng , Ballabio Andrea , Edgar James R. , Cullen Peter J. 
Published: May 2023

AbstractRetromer controls cellular homeostasis through regulating integral membrane protein sorting and transport and by controlling maturation of the endo-lysosomal network. Retromer dysfunction, which is linked to neurodegenerative disorders including Parkinson’s and Alzheimer’s diseases, manifests in complex cellular phenotypes, though the precise nature of this dysfunction, and its relation to neurodegeneration, remain unclear. Here, we perform an integrated multi-omics approach to provide precise insight into the impact of Retromer dysfunction on endo-lysosomal health and homeostasis within a human neuroglioma cell model. We quantify widespread changes to the lysosomal proteome, indicative of broad lysosomal dysfunction and inefficient autophagic lysosome reformation, coupled with a reconfigured cell surface proteome and secretome reflective of increased lysosomal exocytosis. Through this global proteomic approach and parallel transcriptomic analysis, we provide a holistic view of Retromer function in regulating lysosomal homeostasis and emphasise its role in neuroprotection.
OsMADS17 simultaneously increases grain number and grain weight in rice
Authors: Li Yuanjie , Wu Sheng , Huang Yongyu , Ma Xin , Tan Lubin , Liu Fengxia , Lv Qiming , Zhu Zuofeng , Hu Meixia , Fu Yongcai , Zhang Kun , Gu Ping , Xie Daoxin , Sun Hongying , Sun Chuanqing 
Published: May 2023

AbstractDuring the processes of rice domestication and improvement, a trade-off effect between grain number and grain weight was a major obstacle for increasing yield. Here, we identify a critical gene COG1, encoding the transcription factor OsMADS17, with a 65-bp deletion in the 5′ untranslated region (5′ UTR) presented in cultivated rice increasing grain number and grain weight simultaneously through decreasing mRNA translation efficiency. OsMADS17 controls grain yield by regulating multiple genes and that the interaction with one of them, OsAP2-39, has been characterized. Besides, the expression of OsMADS17 is regulated by OsMADS1 directly. It indicates that OsMADS1-OsMADS17-OsAP2-39 participates in the regulatory network controlling grain yield, and downregulation of OsMADS17 or OsAP2-39 expression can further improve grain yield by simultaneously increasing grain number and grain weight. Our findings provide insights into understanding the molecular basis co-regulating rice yield-related traits, and offer a strategy for breeding higher-yielding rice varieties.
Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics
Authors: Gao Junyi , Heintz Joerg , Mack Christina , Glass Lucas , Cross Adam , Sun Jimeng 
Published: May 2023

AbstractIn this work, we aim to accurately predict the number of hospitalizations during the COVID-19 pandemic by developing a spatiotemporal prediction model. We propose HOIST, an Ising dynamics-based deep learning model for spatiotemporal COVID-19 hospitalization prediction. By drawing the analogy between locations and lattice sites in statistical mechanics, we use the Ising dynamics to guide the model to extract and utilize spatial relationships across locations and model the complex influence of granular information from real-world clinical evidence. By leveraging rich linked databases, including insurance claims, census information, and hospital resource usage data across the U.S., we evaluate the HOIST model on the large-scale spatiotemporal COVID-19 hospitalization prediction task for 2299 counties in the U.S. In the 4-week hospitalization prediction task, HOIST achieves 368.7 mean absolute error, 0.6 $${R}^{2}$$

R

2

and 0.89 concordance correlation coefficient score on average. Our detailed number needed to treat (NNT) and cost analysis suggest that future COVID-19 vaccination efforts may be most impactful in rural areas. This model may serve as a resource for future county and state-level vaccination efforts.
Quantitative structured illumination microscopy via a physical model-based background filtering algorithm reveals actin dynamics
Authors: Mo Yanquan , Wang Kunhao , Li Liuju , Xing Shijia , Ye Shouhua , Wen Jiayuan , Duan Xinxin , Luo Ziying , Gou Wen , Chen Tongsheng , Zhang Yu-Hui , Guo Changliang , Fan Junchao , Chen Liangyi 
Published: May 2023

AbstractDespite the prevalence of superresolution (SR) microscopy, quantitative live-cell SR imaging that maintains the completeness of delicate structures and the linearity of fluorescence signals remains an uncharted territory. Structured illumination microscopy (SIM) is the ideal tool for live-cell SR imaging. However, it suffers from an out-of-focus background that leads to reconstruction artifacts. Previous post hoc background suppression methods are prone to human bias, fail at densely labeled structures, and are nonlinear. Here, we propose a physical model-based Background Filtering method for living cell SR imaging combined with the 2D-SIM reconstruction procedure (BF-SIM). BF-SIM helps preserve intricate and weak structures down to sub-70 nm resolution while maintaining signal linearity, which allows for the discovery of dynamic actin structures that, to the best of our knowledge, have not been previously monitored.
Prehistoric population expansion in Central Asia promoted by the Altai Holocene Climatic Optimum
Authors: Xiang Lixiong , Huang Xiaozhong , Sun Mingjie , Panizzo Virginia N. , Huang Chong , Zheng Min , Chen Xuemei , Chen Fahu 
Published: May 2023

AbstractHow climate change in the middle to late Holocene has influenced the early human migrations in Central Asian Steppe remains poorly understood. To address this issue, we reconstructed a multiproxy-based Holocene climate history from the sediments of Kanas Lake and neighboring Tiewaike Lake in the southern Altai Mountains. The results show an exceptionally warm climate during ~6.5–3.6 kyr is indicated by the silicon isotope composition of diatom silica (δ30Sidiatom) and the biogenic silica (BSi) content. During 4.7-4.3 kyr, a peak in δ30Sidiatom reflects enhanced lake thermal stratification and periodic nutrient limitation as indicated by concomitant decreasing BSi content. Our geochemical results indicate a significantly warm and wet climate in the Altai Mountain region during 6.5–3.6 kyr, corresponding to the Altai Holocene Climatic Optimum (AHCO), which is critical for promoting prehistoric human population expansion and intensified cultural exchanges across the Central Asian steppe during the Bronze Age.
The COG1-OsSERL2 complex senses cold to trigger signaling network for chilling tolerance in japonica rice
Authors: Xia Changxuan , Liang Guohua , Chong Kang , Xu Yunyuan 
Published: May 2023

AbstractImprovement of chilling tolerance is a key strategy to face potential menace from abnormal temperature in rice production, which depends on the signaling network triggered by receptors. However, little is known about the QTL genes encoding membrane complexes for sensing cold. Here, Chilling-tolerance inGengdao/japonica rice1 (COG1) is isolated from a chromosome segment substitution line containing a QTL (qCS11-jap) for chilling sensitivity. The major gene COG1 is found to confer chilling tolerance in japonica rice. In natural rice populations, only the haplogroup1 encodes a functional COG1. Evolutionary analysis show that COG1 originates from Chinese O. Rufipogon and is fixed in japonica rice during domestication. COG1, a membrane-localized LRR-RLP, targets and activates the kinase OsSERL2 in a cold-induced manner, promoting chilling tolerance. Furthermore, the cold signal transmitted by COG1-OsSERL2 activates OsMAPK3 in the cytoplasm. Our findings reveal a cold-sensing complex, which mediates signaling network for the chilling defense in rice.