bluuebunny/crossref_metadata_2025_split huggingface dataset:
VCA supercooling in a swine partial hindlimb model
Authors: Berkane Yanis , Filz von Reiterdank Irina , Tawa Pierre , Charlès Laura , Goutard Marion , Dinicu Antonia T. , Toner Mehmet , Bertheuil Nicolas , Mink van der Molen Aebele B. , Coert J. Henk , Lellouch Alexandre G. , Randolph Mark A. , Cetrulo Curtis L. , Uygun Korkut 
Published: June 2024

AbstractVascularized composite allotransplantations are complex procedures with substantial functional impact on patients. Extended preservation of VCAs is of major importance in advancing this field. It would result in improved donor-recipient matching as well as the potential for ex vivo manipulation with gene and cell therapies. Moreover, it would make logistically feasible immune tolerance induction protocols through mixed chimerism. Supercooling techniques have shown promising results in multi-day liver preservation. It consists of reaching sub-zero temperatures while preventing ice formation within the graft by using various cryoprotective agents. By drastically decreasing the cell metabolism and need for oxygen and nutrients, supercooling allows extended preservation and recovery with lower ischemia–reperfusion injuries. This study is the first to demonstrate the supercooling of a large animal model of VCA. Porcine hindlimbs underwent 48 h of preservation at − 5 °C followed by recovery and normothermic machine perfusion assessment, with no issues in ice formation and favorable levels of injury markers. Our findings provide valuable preliminary results, suggesting a promising future for extended VCA preservation.
Rapid detection of fetal compromise using input length invariant deep learning on fetal heart rate signals
Authors: Mendis Lochana , Palaniswami Marimuthu , Keenan Emerson , Brownfoot Fiona 
Published: June 2024

AbstractStandard clinical practice to assess fetal well-being during labour utilises monitoring of the fetal heart rate (FHR) using cardiotocography. However, visual evaluation of FHR signals can result in subjective interpretations leading to inter and intra-observer disagreement. Therefore, recent studies have proposed deep-learning-based methods to interpret FHR signals and detect fetal compromise. These methods have typically focused on evaluating fixed-length FHR segments at the conclusion of labour, leaving little time for clinicians to intervene. In this study, we propose a novel FHR evaluation method using an input length invariant deep learning model (FHR-LINet) to progressively evaluate FHR as labour progresses and achieve rapid detection of fetal compromise. Using our FHR-LINet model, we obtained approximately 25% reduction in the time taken to detect fetal compromise compared to the state-of-the-art multimodal convolutional neural network while achieving 27.5%, 45.0%, 56.5% and 65.0% mean true positive rate at 5%, 10%, 15% and 20% false positive rate respectively. A diagnostic system based on our approach could potentially enable earlier intervention for fetal compromise and improve clinical outcomes.
Quantum scaling for the metal–insulator transition in a two-dimensional electron system
Authors: Kagalovsky V. , Kravchenko S. V. , Nemirovsky D. 
Published: June 2024

AbstractThe quantum phase transition observed experimentally in two-dimensional (2D) electron systems has been a subject of theoretical and experimental studies for almost 30 years. We suggest Gaussian approximation to the mean-field theory of the second-order phase transition to explain the experimental data. Our approach explains self-consistently the universal value of the critical exponent 3/2 (found after scaling measured resistivities on both sides of the transition as a function of temperature) as the result of the divergence of the correlation length when the electron density approaches the critical value. We also provide numerical evidence for the stretched exponential temperature dependence of the metallic phase’s resistivities in a wide range of temperatures and show that it leads to correct qualitative results. Finally, we interpret the phase diagram on the density-temperature plane exhibiting the quantum critical point, quantum critical trajectory and two crossover lines. Our research presents a theoretical description of the seminal experimental results.
Healthy tissue metabolism assessed by [18F]FDG PET/CT as a marker of prognosis and adverse events in advanced Hodgkin lymphoma patients
Authors: Malaih Afnan A. , Kirkwood Amy A. , Johnson Peter , Radhakrishnan Vivek , Fischer Barbara M. , Barrington Sally F. 
Published: June 2024

AbstractThe aim of the study was to assess healthy tissue metabolism (HTM) using 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) during chemotherapy in Hodgkin lymphoma (HL) and the association of HTM with baseline metabolic tumour volume (MTV), haematological parameters, adverse events (AEs), early response and progression-free survival (PFS). We retrospectively identified 200 patients with advanced HL from the RATHL trial with [18F]FDG-PET/CT before (PET0) and following 2 cycles of chemotherapy (PET2). [18F]FDG-uptake was measured in bone marrow (BM), spleen, liver and mediastinal blood pool (MBP). Deauville score (DS) 1–3 was used to classify responders and DS 4–5, non-responders. [18F]FDG-uptake decreased significantly in BM and spleen and increased in liver and MBP at PET2 (all p < 0.0001), but was not associated with MTV. Higher BM uptake at PET0 was associated with lower baseline haemoglobin and higher absolute neutrophil counts, platelets, and white blood cells. High BM, spleen, and liver uptake at PET0 was associated with neutropenia after cycles 1–2. BM uptake at PET0 was associated with treatment failure at PET2 and non-responders with higher BM uptake at PET2 had significantly inferior PFS (p = 0.023; hazard ratio = 2.31). Based on these results, we concluded that the change in HTM during chemotherapy was most likely a direct impact of chemotherapy rather than a change in MTV. BM uptake has prognostic value in HL.
Local feature acquisition and global context understanding network for very high-resolution land cover classification
Authors: Li Zhengpeng , Hu Jun , Wu Kunyang , Miao Jiawei , Zhao Zixue , Wu Jiansheng 
Published: June 2024

AbstractVery high-resolution remote sensing images hold promising applications in ground observation tasks, paving the way for highly competitive solutions using image processing techniques for land cover classification. To address the challenges faced by convolutional neural network (CNNs) in exploring contextual information in remote sensing image land cover classification and the limitations of vision transformer (ViT) series in effectively capturing local details and spatial information, we propose a local feature acquisition and global context understanding network (LFAGCU). Specifically, we design a multidimensional and multichannel convolutional module to construct a local feature extractor aimed at capturing local information and spatial relationships within images. Simultaneously, we introduce a global feature learning module that utilizes multiple sets of multi-head attention mechanisms for modeling global semantic information, abstracting the overall feature representation of remote sensing images. Validation, comparative analyses, and ablation experiments conducted on three different scales of publicly available datasets demonstrate the effectiveness and generalization capability of the LFAGCU method. Results show its effectiveness in locating category attribute information related to remote sensing areas and its exceptional generalization capability. Code is available at https://github.com/lzp-lkd/LFAGCU.
The geological origins and soil properties of loess-like silty clay: a case study in the jinan area
Authors: Liu Zhenghao , Ma Xianfeng , Zhou Dingyi , Lu Linhai , Zhang Haihua , Bai Yujie , Han Han 
Published: June 2024

AbstractThis study, using Jinan as a case study, systematically investigates the characteristics and geological genesis of loess-like silty clay in the middle and lower reaches of the Yellow River. The primary distribution of loess-like silty clay is revealed through field surveys, laboratory experiments, and previous literature reviews. The chemical and physical properties of the loess-like silty clay were examined, in addition to investigations into its mineral composition, microstructural characteristics, and engineering mechanical properties, in order to enhance comprehension of its attributes and formation mechanisms. The research suggests that the distinctive soil environment in the area has been influenced by numerous instances of the Yellow River overflow and channel shifts over its history, as well as the impacts of climate change, geological factors, and human activities. The primary sources of material for the loess-like silty clay consist of loess, Hipparion Red Clay, and paleosol layers. The discussion also addresses the impact of regional climate on the formation of mineral components. The aforementioned findings hold significant implications for advancing the understanding of historical climatic and paleogeographic shifts, as well as for addressing engineering challenges associated with the distribution of loess-like silty clay.
Zinc and nitrogen mediate the regulation of growth, leading to the upregulation of antioxidant aptitude, physio-biochemical traits, and yield in wheat plants
Authors: Shehzadi Nimra , Mahmood Athar , Kaleem Muhammad , Chishti Muhammad Shahbaz , Bashir Humaira , Hashem Abeer , Abd-Allah Elsayed Fathi , Shahid Hina , Ishtiaq Atiqa 
Published: June 2024

AbstractAn ample amount of water and soil nutrients is required for economic wheat production to meet the current food demands. Nitrogen (N) and zinc (Zn) fertigation in soils can produce a substantial wheat yield for a rapidly increasing population and bring a limelight to researchers. The present study was designed to ascertain N and Zn’s synergistic role in wheat growth, yield, and physio-biochemical traits. A pot experiment was laid out under a complete randomized design with four N levels (N1-0, N2-60, N3- 120, and N4-180 kg ha−1), Zn (T1-0, T2-5, T3-10, and T4-15 kg ha−1) with four replications. After the emergence of the plants, N and Zn fertigation was applied in the soil. The growth traits were considerably increased by combined applications as compared to the sole applications of the N and Zn. The photosynthetic pigments were found maximum due to combined applications of N and Zn, which were positively associated with biomass, growth, yield, and wheat grain quality. The combined application also substantially enhances the antioxidant enzyme activities to scavenge the ROS as H2O2 and reduce lipid peroxidation to protect the permeability of the biologic membranes. The combined higher applications of N and Zn were more responsive to ionic balance in a shoot by maintaining the Na+ for osmotic adjustments, accumulating more Ca2+ for cellular signaling; but, combined applications resulted in K+ reduction. Our present results suggest that appropriate sole or combined applications of N and Zn improve wheat's growth, yield, and antioxidant mechanisms. Previous studies lack sufficient information on N and Zn combined fertigation. We intend to investigate both the sole and combined roles of N and Zn to exploit their potential synergistic effects on wheat.
Occurrence and characterization of viruses infecting Amorphophallus in Yunnan, China
Authors: Dong Jiahong , Zhu Ting , Lv Rui , Dong Kun , Li Yu , Zhang Boxin , Zhang Lizhen , Chen Yongdui , Yin Xiangao , Zhang Lei , Yin Jianqing , Lu Jun , Xi Dehui , Wu Kuo 
Published: June 2024

AbstractViral diseases are becoming an important problem in Amorphophallus production due to the propagation of seed corms and their trade across regions. In this study, combined-High-Throughput Sequencing, RT-PCR, electron microscopy, and mechanical inoculation were used to analyze virus-like infected Amorphophallus samples in Yunnan province to investigate the distribution, molecular characterization, and diversity and evolution of Amorphophallus-infecting viruses including three isolates of dasheen mosaic virus and three orthotospoviruses: mulberry vein banding associated virus (MVBaV), tomato zonate spot virus (TZSV) and impatiens necrotic spot virus (INSV). The results showed that DsMV is the dominant virus infecting Amorphophallus, mixed infections with DsMV and MVBaV to Amorphophallus were quite common in Yunnan province, China. This is the first report on infection of Amorphophallus with MVBaV, TZSV, and impatiens necrotic spot virus (INSV) in China. This work will help to develop an effective integrated management strategy to control the spread of Amorphophallus viral diseases.
A squalene analog 4,4′-diapophytofluene from coconut leaves having antioxidant and anti-senescence potentialities toward human fibroblasts and keratinocytes
Authors: Dutta Madhurima , Sarkar Swarupa , Karmakar Parimal , Mandal Biswas Suparna 
Published: June 2024

AbstractCoconut (Cocos nucifera) leaves, an unutilized resource, enriched with valuable bioactive compounds. Spectral analysis of purified pentane fraction of coconut leaves revealed the presence of a squalene analog named 4,4′-diapophytofluene or in short 4,4′-DPE (C30H46). Pure squalene standard (PSQ) showed cytotoxicity after 8 µg/ml concentration whereas 4,4′-DPE exhibited no cytotoxic effects up to 16 µg/ml concentration. On senescence-induced WI38 cells, 4,4′-DPE displayed better percentage of cell viability (164.5% at 24 h, 159.4% at 48 h and 148% at 72 h) compared to PSQ and BSQ (bio-source squalene) with same time duration. Similar trend of result was found in HaCaT cells. SA-β-gal assay showed that number of β-galactosidase positive cells were significantly decreased in senescent cells (WI38 and HaCaT) after treated with 4,4′-DPE than PSQ, BSQ. Percentage of ROS was increased to 60% in WI38 cells after olaparib treatment. When PSQ, BSQ and 4,4′-DPE were applied separately on these oxidative-stress-induced cells for 48 h, the overall percentage of ROS was decreased to 39.3%, 45.6% and 19.3% respectively. This 4,4′-DPE was found to be more effective in inhibiting senescence by removing ROS as compared to squalene. Therefore, this 4,4′-DPE would be new potent senotherapeutic agent for pharmaceuticals and dermatological products.
A static precise single-point positioning method based on carrier phase zero-baseline self-differencing
Authors: Lv Kaihui , Cai Chenglin , Cai Yihao , Guan Wenhui , Li Zexian , Wu Mingjie , Cheng Lingfeng 
Published: June 2024

AbstractSatellite navigation positioning has become an indispensable component of everyday life, where precise pinpointing and rapid convergence are crucial in delivering timely and accurate location information. However, due to the damping of integer ambiguities and system residual errors, the rapid convergence of Precise Point Positioning (PPP) implementation is a significant challenge. To address this, this paper proposes a novel Carrier Phase Zero-Baseline Self-Differencing Precise Point Positioning (CZS-PPP) technique and its ionosphere-free fusion model. By employing the proposed CZS-PPP approach in separate scenarios involving BDS-3, GPS, and dual-system settings, we systematically validate the efficacy of the method. The experimental results indicate that the convergence time of the method is less than 4 min in a single-system scenario. Furthermore, in a dual-system scenario, the method can achieve rapid convergence in less than 3 min. The CZS-PPP technique presented demonstrates the elimination of integer ambiguities and the effective suppression of system residuals, in comparison to the conventional method. The proposed approach has demonstrated remarkable performance across different systems, offering a promising new pathway for achieving PPP fast convergence in BDS/GNSS.
Observations of enhanced rainfall variability in Kenya, East Africa
Authors: Kotikot Susan M. , Smithwick Erica A. H. , Greatrex Helen 
Published: June 2024

AbstractUnderstanding local patterns of rainfall variability is of great concern in East Africa, where agricultural productivity is dominantly rainfall dependent. However, East African rainfall climatology is influenced by numerous drivers operating at multiple scales, and local patterns of variability are not adequately understood. Here, we show evidence of substantial variability of local rainfall patterns between 1981 and 2021 at the national and county level in Kenya, East Africa. Results show anomalous patterns of both wetting and drying in both the long and short rainy seasons, with evidence of increased frequency of extreme wet and dry events through time. Observations also indicate that seasonal and intraseasonal variability increased significantly after 2013, coincident with diminished coherence between ENSO (El Nino Southern Oscillation) and rainfall. Increasing frequency and magnitude of rainfall variability suggests increasing need for local-level climate change adaptation strategies.
Physical inconsistencies in the representation of the ocean heat-carbon nexus in simple climate models
Authors: Séférian Roland , Bossy Thomas , Gasser Thomas , Nichols Zebedee , Dorheim Kalyn , Su Xuanming , Tsutsui Junichi , Santana-Falcón Yeray 
Published: June 2024

AbstractThe Ocean Heat-Carbon Nexus, linking ocean heat and carbon uptake, is crucial for understanding climate responses to cumulative carbon dioxide (CO2) emissions and to net zero CO2 emissions. It results from a suite of processes involving the exchange of heat and carbon across the sea-air interface as well as their storage below the mixed layer and redistribution by the ocean large-scale circulation. The Ocean Heat and Carbon Nexus is assumed to be consistently represented across two modelling platforms used in the latest IPCC assessments: the Earth System Models (ESMs) and the Simple Climate Models (SCMs). However, our research shows significant deficiencies in state-of-the-art SCMs in replicating the ocean heat-carbon nexus of ESMs due to a crude treatment of the ocean thermal and carbon cycle coupling. With one SCM, we show that a more realistic heat-to-carbon uptake ratio exacerbates the projected warming by 0.1  °C in low overshoot scenarios and up to 0.2  °C in high overshoot scenarios. It is therefore critical to explore how SCMs’ physical inconsistencies, such as the representation of the ocean heat-carbon nexus, can affect future warming projections used in climate assessments, not just by SCMs in Working Group 3 but also by ESMs in Working Group 1 via SCM-driven emission-to-concentration translation.
Casirivimab-imdevimab monoclonal antibody treatment for an immunocompromised patient with persistent SARS-CoV-2 infection: a case report
Authors: Sam Karun Saathveeg , Khosla Pooja , Taneja Vinus , Dessai Rishikesh 
Published: June 2024

Abstract
Background
Persistent acute SARS-CoV- 2 infection is characterised by the persistence of symptoms of a COVID-19 illness and a persistently positive SARS-CoV-2 RT PCR result. It is often seen in immunocompromised individuals. Currently, there are no approved treatment regimens or guidelines for management.

Methods
Our patient is a middle-aged male who had received chemotherapy prior to the onset of his SARS- CoV-2 infection and subsequently was diagnosed with a persistent and acute SARS- CoV-2 infection after presenting to us with a pyrexia of unknown origin. He was treated on an off-label basis following informed consent with casirivimab-imdevimab monoclonal antibody therapy, comprising two IgG1 neutralising human monoclonal antibodies at a dose of 600 mg each.

Results
Our patient had significant clinical improvement on treatment with the monoclonal antibody therapy and it was well tolerated without any adverse effects. He is currently doing well during follow up.

Conclusions
Casirivimab-imdevimab monoclonal antibody therapy could be beneficial for people with persistent acute SARS-CoV-2 infection. Therapy is warranted on a case-to-case basis. This highlights the need to identify immunocompromised individuals who are at risk of developing persistent acute SARS-CoV-2 infection to enable their prompt treatment.
A lightweight tomato leaf disease identification method based on shared‐twin neural networks
Authors: Linfeng Wang , Jiayao Liu , Yong Liu , Yunsheng Wang , Shipu Xu 
Published: June 2024

AbstractAutomatic detection of tomato leaf spot disease is essential for control and loss reduction. Traditional algorithms face challenges such as large amount of data, multiple training and heavy computation. In this study, a lightweight shared Siamese neural network method was proposed for tomato leaf disease identification, which is suitable for resource‐limited environments. Experiments on Plant‐Village, Taiwan and Taiwan ++ datasets show that the accuracy fluctuates very little even when trained with only 60% of the data, which confirms the effectiveness of the proposed method in the small data environment. In addition, compared with the mainstream algorithms, it improves the accuracy by up to 35.3%on Plant‐Village and two Taiwan datasets respectively. The experimental results also show that the proposed method still performs well when the data is imbalanced and the sample size is small.
Broad observation area and high resolution using identifier for synthetic aperture radars
Authors: Furuno Takayoshi 
Published: June 2024

AbstractTo achieve broad observation areas and high resolution, synthetic aperture radars adopt wavelet‐transformed observation areas that contain information on position and velocity. The observation area adopts pseudosignals with scattering information about the position and velocity in three dimensions. The wavelet transform (WT) is applied to micromoving targets to obtain a pseudosignal, and each micromoving target is defined by an Identifier (ID) of parameter scale a and parameter shift b. Because the interval of each micromoving target is minimised by the WT, the array of all micromoving targets becomes a continuum that can be represented by straight or curved lines. Every micromoving target can be identified by an ID as long as the micromoving targets do not overlap. Every moving signal in a three‐dimensional space can be identified by the abovementioned ID. The results demonstrated that the observation area can be broadened by employing the minimum number of units with micromoving targets. In addition, micromoving targets in the observation area can be obtained at a high resolution (3 cm), and the position of the ID does not change owing to noise. The developments presented can contribute to the fast detection of earthquakes.