bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unleashing the Power of Plant Structural and Functional Diversity: From Common Observations to Theory and Management Models
Authors: Bravo Felipe , van der Werf Wopke , Tognetti Roberto , Mazía Noemí , Anten Niels P. R. , Piazza María‐Victoria , Tomelleri Enrico , Pretzsch Hans 
Published: October 2024

ABSTRACTNew approaches for managing agricultural and forestry systems are needed to bring back inputs to levels that are within planetary boundaries and make greater and better use of ecosystem services based on biodiversity. A new scientific framework informed by ecology, agronomy, forestry, and agroforestry is key to designing resilient plant‐based ecosystems to meet this challenge. Integrating information on plant functional traits, ontogenetic development stages, site characteristics, and structural stand characteristics can unleash the power of diversity (in species traits and structural and temporal arrangements) as a crucial factor for sustaining environmental services in times of global change. To leverage the benefits of diversity, a general theoretical framework and scalable simulation models are needed to understand structural and species diversification effects and interactions at multiple levels, from plant to field/forest stand to landscape. By working across established research boundaries, the scientific community can harness the power of structural and functional diversity to develop resilient, production‐oriented ecosystems. With this integrative approach, our objectives are as follows: (i) to conceptualize processes and methodologies for managing resilient terrestrial ecosystems that can guarantee sustainable and diversified ecosystem services within planetary boundaries, and (ii) to outline the workflow for crafting a system capable of sustaining human well‐being amid space, resource, and energy constraints.
HSPEI: A 1‐km spatial resolution SPEI dataset across the Chinese mainland from 2001 to 2022
Authors: Xia Haoming , Sha Yintao , Zhao Xiaoyang , Jiao Wenzhe , Song Hongquan , Yang Jia , Zhao Wei , Qin Yaochen 
Published: October 2024

AbstractThe Standardized Precipitation Evapotranspiration Index (SPEI) is a widely recognized and effective tool for monitoring meteorological droughts. However, existing SPEI datasets suffer from spatial discontinuity or coarse spatial resolution problems, which limits their applications at the local level for drought monitoring research. Therefore, we calculated the SPEI index at meteorological stations, combined with the Global Precipitation Measurement (GPM) Precipitation (Pre), Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST), ERA5‐Land Shortwave Radiation (SR), Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) datasets and Random Forest Regression (RFR) model, developed a high spatial resolution (1 km) SPEI (HSPEI) datasets with multiple time scales in mainland China from 2001 to 2022. Compared to other SPEI datasets, the HSPEI datasets have higher spatial resolution and can effectively identify the detailed characteristics of drought in mainland China from 2001 to 2022. Overall, the HSPEI datasets can be effectively applied to the research of different droughts in China from 2001 to 2022.
Development of a Preclinical Double Model of Mandibular Irradiated Bone and Osteoradionecrosis in New Zealand Rabbits
Authors: Ruaro Alessandra , Taboni Stefano , Chan Harley H. L. , Mondello Tiziana , Lindsay Patricia , Komal Teesha , Alessandrini Lara , Sbaraglia Marta , Bellan Elena , Maroldi Roberto , Townson Jason , Daly Michael J. , Re Federica , Pasini Chiara , Krengli Marco , Sartore Luciana , Russo Domenico , Nicolai Piero , Ferrari Marco , Gilbert Ralph W. , Irish Jonathan C. 
Published: October 2024

ABSTRACTPurposeRadiotherapy (RT) plays a crucial role in head and neck (HN) cancer treatment. Nevertheless, it can lead to serious and challenging adverse events such as osteoradionecrosis (ORN). A preclinical rabbit model of irradiated bone and ORN is herein proposed, with the aim to develop a viable model to be exploited for investigating new therapeutic approaches.MethodsNine New Zealand white rabbits were irradiated using a single beam positioned to the left of the mandible and directed perpendicular to the left mandible. A 10 × 10 mm2 region of interest (ROI) located below the first molar tooth on the left side was identified and irradiated with 7 Gy each fraction, once every 2 days, for five fractions. Dose distributions demonstrated that the corresponding ROI on the contralateral (right) mandibular side received approximately 5 Gy each fraction, thus bilateral irradiation of the mandible was achieved. ROIs were categorized as ROIH on the left side receiving the high dose and ROIL on the right side receiving the low dose. Rabbits were followed up clinically and imaged monthly. After 4 months, the irradiated bone was excised, and histological examination of ROIs was performed.ResultsRadiological signs suggestive for ORN were detected in the entire population (100%) 16 weeks after irradiation on ROIH, which consisted of cortical erosion and loss of trabeculae. ROIL did not show any radiological evidence of bone damage. Histologically, both sides showed comparable signs of injury, with marked reduction in osteocyte count and increase in empty lacunae count.ConclusionsA preclinical double model was successfully developed. The side receiving the higher dose showed radiological and histological signs of bone damage, resulting in an ORN model. Whereas the contralateral side, receiving the lower dose, presented with histological damage only and a normal radiological appearance. This work describes the creation of a double model, an ORN and irradiated bone model, for further study using this animal species.
A Novel Approach for Identifying and Assessing MOR‐Based CMIP6 Model for Hydrological Analysis in an Ungauged Watershed
Authors: Roy Dibyandu , Dhar Anirban , Desai Venkappayya R. 
Published: October 2024

ABSTRACTThe identification of the onset and retreat dates of the monsoon season is a crucial and intricate phenomenon, given its annual spatiotemporal variability. The monsoon season contributes significantly to rainfall, replenishing water sources and hydrological systems but causes hydrological extremes, especially for the high‐altitude watersheds in Southeast Asia. Global Circulation Model (GCM)‐Coupled Model Intercomparison Project Phase 6 (CMIP6)‐based rainfall and temperature data are helpful for adequately representing present and future climate scenarios. However, the usability of uncorrected GCM‐CMIP6 datasets needs to be assessed regionally. This study focuses on identifying the best‐suited GCM‐CMIP6 based on the monsoon onset (MO) and retreat (MR) dates along with other climatological temporal parameters. A numerical definition for MO and MR has been formulated to find the best‐suited GCM‐CMIP6 (i.e., CMCC‐ESM2). In this context, runoff simulation is carried out using the meteorological inputs of the monsoon onset‐retreat (MOR)‐based best‐suited GCM to evaluate its usability. A multi‐model simulation approach has been carried out for runoff estimation based on observed datasets to find a better‐suited hydrological model. The proposed overall methodology is tested in a hydrological extreme‐prone ungauged watershed (i.e., Ranikhola). CMCC‐ESM2 and SSP2‐4.5 has been identified as best‐suited SSP based on statistical evolution (R2 [0.693], NSE [0.662] and RSR [0.581]) for future daily runoff prediction. Future hydrological analysis shows that the average monsoon peak runoff magnitude will increase from the calibrated period (2015–2020) by 18.01% in the coming years (2021–2049).
Enhanced Lung Cancer Diagnosis and Staging With HRNeT: A Deep Learning Approach
Authors: Rathan N. , Lokesh S. 
Published: October 2024

ABSTRACTThe healthcare industry has been significantly impacted by the widespread adoption of advanced technologies such as deep learning (DL) and artificial intelligence (AI). Among various applications, computer‐aided diagnosis has become a critical tool to enhance medical practice. In this research, we introduce a hybrid approach that combines a deep neural model, data collection, and classification methods for CT scans. This approach aims to detect and classify the severity of pulmonary disease and the stages of lung cancer. Our proposed lung cancer detector and stage classifier (LCDSC) demonstrate greater performance, achieving higher accuracy, sensitivity, specificity, recall, and precision. We employ an active contour model for lung cancer segmentation and high‐resolution net (HRNet) for stage classification. This methodology is validated using the industry‐standard benchmark image dataset lung image database consortium and image database resource initiative (LIDC‐IDRI). The results show a remarkable accuracy of 98.4% in classifying lung cancer stages. Our approach presents a promising solution for early lung cancer diagnosis, potentially leading to improved patient outcomes.
Unveiling Thymoma Typing Through Hyperspectral Imaging and Deep Learning
Authors: Lv Qize , Liang Ke , Tian ChongXuan , Zhang YanHai , Li YunZe , Deng JinLin , Yue WeiMing , Li Wei 
Published: October 2024

ABSTRACTThymoma, a rare tumor from thymic epithelial cells, presents diagnostic challenges because of the subjective nature of traditional methods, leading to high false‐negative rates and long diagnosis times. This study introduces a thymoma classification technique that integrates hyperspectral imaging with deep learning. We initially capture pathological slice images of thymoma using a hyperspectral camera and delineate regions of interest to extract spectral data. This data undergoes reflectance calibration and noise reduction. Subsequently, we transform the spectral data into two‐dimensional images via the Gramian Angular Field (GAF) method. A variant residual network is then utilized to extract features and classify these images. Our results demonstrate that this model significantly enhances classification accuracy and efficiency, achieving an average accuracy of 95%. The method proves highly effective in automated thymoma diagnosis, optimizing data utilization, and feature representation learning.
Boundary controllability of a Korteweg–de Vries‐type Boussinesq system
Authors: Komornik Vilmos , Pazoto Ademir F. , Vieira Miguel D. Soto 
Published: October 2024

AbstractThe two‐way propagation of a certain class of long‐crested water waves is governed approximately by systems of equations of the Boussinesq type. These equations have been put forward in various forms by many authors and their higher‐order generalizations arise when modeling the propagation of waves on large lakes, ocean, and in other contexts. Considered here is a class of such system which couple two higher‐order Korteweg–de‐Vries type equations. Our aim is to investigate the controllability properties of the linearized model posed on a periodic interval. By using the classical duality approach and some theorems on nonharmonic Fourier series, we prove that the system is exactly controllable in certain well‐chosen Sobolev spaces by means of suitable boundary controls.
Better and richer than me? The joint effect of performance and performance‐related social comparison on goal‐pursuit motivation
Authors: Zhang Lan , Li Yi , Zheng Chundong 
Published: October 2024

AbstractNowadays, consumers increasingly use mobile apps such as Strava, Fitbit app, Nike Training Club, Duolingo, and WeChat Reading to facilitate goal pursuits in exercising, dieting, studying, working, and learning new skills. These apps not only offer support for users to work toward their goals but also embed features like performance rankings and social profiles to enhance community building and user engagement. These features frequently expose users to social comparisons of their performance in goal‐related tasks (e.g., performance ranking) and other performance‐related dimensions (e.g., age, gender, financial status). Prior research offers limited insights into how these performance and performance‐related comparisons jointly influence consumers’ goal‐pursuit motivation. To address this gap, across four experiments involving one incentive‐compatible study, we find that in the upward performance comparison (the comparison target has superior performance), the comparison target being inferior (vs. superior) on the performance‐related dimension enhances consumers’ self‐threat, which increases consumers’ goal‐pursuit motivation. In the downward performance comparison (the comparison target has inferior performance), the comparison target being superior (vs. inferior) on the performance‐related dimension enhances consumers’ self‐efficacy, which increases their goal‐pursuit motivation.
The virtual new or the real old? The effect of temporal alignment between influencer virtuality and brand heritage narration on consumers' luxury consumption
Authors: Mo Tingting , Wang Weisha 
Published: October 2024

AbstractLuxury brands today face the challenge of preserving their timeless allure while adapting to contemporary trends in the digital age. However, the impact of digital experiences on the value addition to luxury brands remains unclear. Drawing upon construal level theory, this research explores how influencer type (human vs. virtual influencers) interacts with luxury brands' heritage narrations (past vs. present emphasis) and influences consumers' luxury consumption. Three studies conducted with middle‐income Chinese consumers reveal that combinations of influencer type and heritage narration type, representing higher temporal alignment between influencer and heritage narrative tense (virtual influencer + present narration or human influencer + past narration), elicit more favorable consumer responses (purchase intent, brand attachment, and brand credibility perception), compared to other combinations that represent lower temporal alignment (Study 1). Furthermore, we find that consumers' incremental mindset mediates the positive impact of temporal alignment on consumer responses (Study 2), and consumers' construal level state moderates the influence of temporal alignment on incremental mindset (Study 3). This research provides valuable insights for luxury brands seeking to harness the potential of virtual experiences and heritage management effectively.
Clinical glycoproteomics: methods and diseases
Authors: Wang Yujia , Lei Kaixin , Zhao Lijun , Zhang Yong 
Published: October 2024

AbstractGlycoproteins, representing a significant proportion of posttranslational products, play pivotal roles in various biological processes, such as signal transduction and immune response. Abnormal glycosylation may lead to structural and functional changes of glycoprotein, which is closely related to the occurrence and development of various diseases. Consequently, exploring protein glycosylation can shed light on the mechanisms behind disease manifestation and pave the way for innovative diagnostic and therapeutic strategies. Nonetheless, the study of clinical glycoproteomics is fraught with challenges due to the low abundance and intricate structures of glycosylation. Recent advancements in mass spectrometry‐based clinical glycoproteomics have improved our ability to identify abnormal glycoproteins in clinical samples. In this review, we aim to provide a comprehensive overview of the foundational principles and recent advancements in clinical glycoproteomic methodologies and applications. Furthermore, we discussed the typical characteristics, underlying functions, and mechanisms of glycoproteins in various diseases, such as brain diseases, cardiovascular diseases, cancers, kidney diseases, and metabolic diseases. Additionally, we highlighted potential avenues for future development in clinical glycoproteomics. These insights provided in this review will enhance the comprehension of clinical glycoproteomic methods and diseases and promote the elucidation of pathogenesis and the discovery of novel diagnostic biomarkers and therapeutic targets.
Neuroendocrine transdifferentiation in human cancer: molecular mechanisms and therapeutic targets
Authors: Jiang Jun , Han Donghui , Wang Jiawei , Wen Weihong , Zhang Rui , Qin Weijun 
Published: October 2024

AbstractNeuroendocrine transdifferentiation (NEtD), also commonly referred to as lineage plasticity, emerges as an acquired resistance mechanism to molecular targeted therapies in multiple cancer types, predominately occurs in metastatic epidermal growth factor receptor (EGFR)‐mutant non‐small cell lung cancer treated with EGFR tyrosine kinase inhibitors and metastatic castration‐resistant prostate cancer treated with androgen receptor targeting therapies. NEtD tumors are the lethal cancer histologic subtype with unfavorable prognosis and limited treatment. A comprehensive understanding of molecular mechanism underlying targeted‐induced plasticity could greatly facilitate the development of novel therapies. In the past few years, increasingly elegant studies indicated that NEtD tumors share key the convergent genomic and phenotypic characteristics irrespective of their site of origin, but also embrace distinct change and function of molecular mechanisms. In this review, we provide a comprehensive overview of the current understanding of molecular mechanism in regulating the NEtD, including genetic alterations, DNA methylation, histone modifications, dysregulated noncoding RNA, lineage‐specific transcription factors regulation, and other proteomic alterations. We also provide the current management of targeted therapies in clinical and preclinical practice.
High selectivity wideband two‐channel bandpass filter for 5G microwave communication systems
Authors: Aidoo Michael Wilson , Song Kaijun , Fan Yong 
Published: October 2024

AbstractA two‐channel high‐selectivity, wideband bandpass filter has been presented. This is based on a microstrip mixed‐impedance resonator and defected ground structure with the mixed coupling strategy. Two pairs of peripheral stepped‐impedance resonator (SIR) structures are used as stubs, achieving TZs at the immediate lower and upper cut‐off sides of the passband and control the bandwidth, while the other two transmission zeros on the upper cut‐off side are yielded through the defected ground structure, and the coupling between the SIR and uniform‐impedance resonators components, respectively. A prototype of the circuit is fabricated and measured for validation. The measured results exhibited insertion and return losses better than 1.1 and 20.5 dB, respectively, and high isolation levels exceeding 19 dB. In total, four transmission zeros are achieved. The designed filtering circuit realized a 3‐dB fractional bandwidth of 58.1%. There is a 0.95f0 stopband at the upper cutoff. The fabrication of the prototype shows good agreement between the simulated and measured performance.
Impact of Antibiotic Choice at the Time of Sacral Neuromodulation Implantation on Rates of Surgical Site Infection
Authors: Bauer Hope H. , Johnston Peyton S. , Rhodes Stephen P. , Hijaz Adonis K. , Sheyn David 
Published: October 2024

ABSTRACTPurposeTo evaluate the efficacy of specific antibiotic regimens in preventing infection following sacral neuromodulation.Materials and MethodsThis is a retrospective cohort study utilizing the Premier Healthcare Database. Patients who underwent sacral neuromodulation placement between January 2016 and March 2020. The patients were grouped by those who received dual antibiotic therapy per 2019 AUA guidelines (Gram positive + broad Gram negative coverage), first‐ or second‐generation cephalosporins or any other regimen. Comparison between groups was performed using Kruskal–Wallis and χ2 tests for continuous and categorical variables, respectively. Inverse probability of treatment weighted (IPTW) analysis was used to estimate the average treatment effect of AUA guidelines regimens versus the use the first‐ or second‐generation cephalosporins alone.ResultsThe sample included 14 179 patients, with 2211 patients receiving prophylaxis that followed the AUA guideline recommendations. There was no significant difference in surgical site infection rates within 3 months (p = 0.28) or within 12 months (p = 0.53) between the groups. On IPTW, the probability of an infection at 3 months was lower with the AUA guideline regimens compared to those who received first‐ or second‐generation cephalosporins alone, but this difference was not statistically significant (OR = 0.73, 95% CI: [0.43, 1.24]).ConclusionsIn the absence of allergies to cephalosporins or penicillin, first‐ or second‐generation cephalosporins alone may be a sufficient preoperative antibiotic regimen for prevention of infection at the time of sacral neuromodulation.Trial RegistrationNot applicable due to being a database study.
Sheep Ahoy: Exploring sheep management and its role in Viking Age economy through multiproxy analyses at Löddeköpinge, Sweden
Authors: Macheridis Stella , Faillace Katie , Hood Meredith , Sayle Kerry L. , Inglis Edward , Madgwick Richard 
Published: October 2024

AbstractSheep and their wool were paramount to Viking Age economies. The importance of wool cannot be underestimated, especially as the woollen sail was implemented on ships in general during this period. This paper investigates sheep management and landscape use in Viking Age Löddeköpinge in Scania, southern Sweden, through a multiproxy approach, integrating multi‐isotope methods with zooarchaeological analysis. Using the marketplace at Löddeköpinge as a case study, 18 sheep mandibles were analyzed through zooarchaeological methods and isotope analyses of δ13C, δ15N, δ34S, and 87Sr/86Sr. The results show that the sheep represent a composite deadflock, meaning they probably derive from different liveflocks. The 87Sr/86Sr values demonstrate likely origins north and east of Löddeköpinge. The δ13C and δ15N values indicate a terrestrial diet with variation in δ15N, meaning that some may have grazed on manured fields. The δ15N, in conjunction with δ34S, values show a possible limnic influence, implying grazing on pastures close to freshwater systems; however, this requires further investigation. The results illuminate the marketplace function of Löddeköpinge, as sheep bred north and east of the site were transported and exchanged there. This shows the degree and extent of control of the re‐distributional system held by the local elite. This control may be instigated by the increased textile production, especially concerning sailcloth, at the site. If so, sheep management may have been specialized towards the production of optimal wool for sailcloth, besides other essential cloth.