bluuebunny/crossref_metadata_2025_split huggingface dataset:
Foliar application of Verticillium dahliae Aspf2‐like protein improved the heat tolerance of creeping bentgrass by regulating photosynthetic and antioxidant capabilities
Authors: Yuan Yan , Zhou Min , Ni Wanlin , Zhang Yan , Li Zhou 
Published: November 2024

AbstractContinuous high ambient temperature in hot summer months leads to a sharp decline in turf quality of cool‐season turfgrass. Verticillium dahliae Aspf2‐like protein (VDAL) is a secretory protein of V. dahliae that can improve crop yield and resistance to disease, but its role in improving heat tolerance of cool‐season turfgrass has not been reported so far. The objectives of this study were to explore the effect and mechanism of foliar application of VDAL on improving heat tolerance in cool‐season creeping bentgrass (Agrostis stolonifera) and to further examine the advantage of foliar spraying with VDAL in mitigating summer bentgrass decline (SBD) in the US transition zone or other regions with similar climate. The results demonstrated that the optimal dose of VDAL for improving thermotolerance of two creeping bentgrass cultivars (heat‐tolerant 13 M and heat‐sensitive Seaside II) was screened as 0.2 g L−1 based on analyses of chlorophyll content, photochemical efficiency of PSII, and cell membrane stability under controlled heat stress conditions. Foliar application of the optimal dose of VDAL significantly restricted chlorophyll loss under heat stress and also alleviated heat‐induced declines in net photosynthetic rate, transpiration rate, stomatal conductance, and water use efficiency. In addition, overaccumulations of superoxide anion radical and hydrogen peroxide could be significantly alleviated by the exogenous application of VDAL through improving the activity of antioxidant enzymes including superoxide dismutase, peroxidase, catalase, and ascorbate peroxidase in two cultivars. A further 2‐year field trial showed that foliar application of VDAL improved turf quality, chlorophyll content, photochemical efficiency, and cell membrane stability of the two cultivars during hot summer months of 2022 and 2023. The results indicate that the appropriate dose of VDAL plays a positive role in photosynthetic performance and antioxidant capacity for thermotolerance of creeping bentgrass, and foliar application of VDAL could be considered an effective approach for alleviating SBD.
Circular supply chain and circular practices: An analysis from the perspective of sustainability and Industry 4.0
Authors: Zardo Duane Jaqueline , Granela Ana Paula , Sehnem Simone , Julkovski Dulcimar Jose 
Published: November 2024

AbstractThe objective of the study was to analyse how the integration of Industry 4.0 technologies can promote circular practices within supply chains, aiming for efficiency, transparency and sustainability. The theoretical framework of the research included concepts from Industry 4.0, sustainability, circular supply chains and emerging technologies, underpinning the analysis of the integration of these elements. The research was conducted through a systematic literature review, analysing 28 articles published between 2017 and 2024 that discussed the integration of Industry 4.0 technologies into circular supply chains. The results indicate that the integration of Industry 4.0 technologies predominantly occurs through the paradox of economic growth, efficiency, and technological innovation. This integration aids in promoting circular practices by identifying waste, opportunities for material reuse, tracking waste and by‐products and predicting product demand with greater accuracy, among other benefits. The conclusion of the research highlights the importance of sustainability, innovation and interdisciplinary collaboration in driving more efficient and sustainable practices within supply chains. The contributions include the expansion of knowledge on the integration of Industry 4.0 technologies into circular supply chains, the identification of opportunities for future research, the encouragement of interdisciplinarity and collaboration, and the promotion of more efficient and sustainable practices across various sectors of the economy.
Innovating Environmentally Sustainable Materials Platforms by Harnessing Coastal Marine Tunicates
Authors: Hong Shiyao , Schnetzer Astrid , Lavoine Nathalie , Lucia Lucian , Eggleston David B. 
Published: November 2024

AbstractThe most influential technological innovations and societal progress lie at the intersection of scientific disciplines. Today, more than ever, biology assumes a more central and participatory role at this confluence. Within the context of this scientific inter‐disciplinarity, the current effort was undertaken to explore the ecology of invasive tunicates, marine invertebrates increasingly considered a nuisance to the ecology of coastal ecosystems, yet potentially a resource for diverse applications in materials chemistry, construction, composites, and engineering. The intention of this perspective is to stimulate conversation and discussion with respect to benthic tunicates, a valuable yet underappreciated biological resource, which can be converted to cellulose nanocrystals, one of the most important bio‐based materials sourced today. It will also attempt to consolidate current understandings of the ecology of tunicates and how potential material exploitation can be mutually compatible and compliant with efforts to protect coastal ecosystems and aquaculture which are currently inundated or threatened by invasive tunicates.
Current Advances in the Photoconversion of Plastics: the Catalysts and Reaction Pathways
Authors: Wang Junting , Zhang Caiwei , Wang Yiou 
Published: November 2024

AbstractPlastic waste has caused severe global environmental pollution and health issues due to the high production rate and lack of proper disposal technology. Traditional methods to deal with plastic waste, such as incineration and landfilling, are deemed unsustainable and energy‐intensive. A promising alternative is the photocatalytic conversion of plastic waste, using sunlight as a sustainable and carbon‐neutral energy source to break down plastic waste under ambient pressure and low temperatures. This review aims to provide a comprehensive summary of recent advancements in plastic photoconversion, with an emphasis on the catalysts and reaction pathways. The mechanisms and reaction routes are first reviewed, followed by a detailed discussion of strategies to design catalysts for improved performance in photoconversion. Then, examples of photothermal degradation processes are presented. Finally, current strategies, challenges, and possible future directions of plastic photoconversion are summarized and discussed.
A Robust Spectrum Allocation Framework Towards Inference Management in Multichannel Cognitive Radio Networks
Authors: Panda Shashi Bhusan , Swain Prasanta Kumar , Imoize Agbotiname Lucky , Tripathy Subhranshu Sekhar , Lee Cheng‐Chi 
Published: November 2024

ABSTRACTRecently, there has been research on using cognitive radio to increase the effectiveness of spectrum resources. Secondary users (SUs) sense, identify, and access frequency bands presently unoccupied by primary users (PUs). Indeed, the precise communication methods of PUs remain consistently unknown to SUs. Designing an appropriate system for spectrum monitoring along with access is necessary to address the challenging problem of guaranteeing the quality of service (QoS) for PUs and satisfying the demand of SUs for spectrum resources. When several SUs and different channels are available, spectrum allocation and sharing must be considered. This work proposes a system for allocating spectrum to multiple users and sharing multiple channels for SUs dealing with PUs with uncertain behavior. The study focuses on analyzing the interference caused to PUs by the dynamic access of SUs. The analysis of the interference produced by SUs is conducted using renewal theory. Queuing theory determines the highest average data rate achievable by SUs while considering the limitations imposed by interference to PUs and the need to maintain stability in the secondary network. Comprehensive simulations validate the efficacy of this approach.
Investigating the Presence of Autistic Traits and Prevalence of Autism Spectrum Disorder Symptoms in Anorexia Nervosa: A Systematic Review and Meta‐Analysis
Authors: Inal‐Kaleli Ipek , Dogan Nurhak , Kose Sezen , Bora Emre 
Published: November 2024

ABSTRACTObjectiveThe present meta‐analysis aims to assess whether individuals with anorexia nervosa (AN) demonstrate elevated autistic traits, to explore potential associations between autistic traits and eating disorder symptoms; as well as to estimate the prevalence of a positive screen for autism spectrum disorder (ASD) assessed via Autism Diagnostic Observation Schedule (ADOS), in AN.MethodA systematic literature search was conducted in PsycINFO, MEDLINE, and Web of Science in August 2023 and later updated in April 2024 to identify relevant studies. Twenty‐two studies with 1172 AN patients and 2747 healthy controls (HCs) met the inclusion criteria.ResultsThere was a significant difference between AN and HC groups in autistic traits (g = 0.88, CI = 0.65–1.12), and a significant but modest correlation was found between autistic traits and severity of eating disorder symptoms (r = 0.28, CI = 0.11–0.44). Proportion meta‐analysis indicated that 29% (CI = 0.19–0.38) of children and adults scored above the cut‐off for ASD.DiscussionThe current findings suggest that AN frequently overlaps with both autistic traits and autistic symptomatology. Therefore, it is essential to evaluate autism and autistic traits in individuals with AN to tailor individualized treatment plans.
Predictors of Treatment Outcome in Persons With Anorexia Nervosa: On the Practice of Regressing Body Mass Index at the End of Treatment on Body Mass Index at Baseline
Authors: Meule Adrian , Kolar David R. , Voderholzer Ulrich 
Published: November 2024

ABSTRACTObjectiveIt is often stated that a higher body mass index (BMI) at the beginning of treatment predicts a better weight outcome at the end of treatment in persons with anorexia nervosa (AN). However, this interpretation is based on the between‐persons relationship of BMI at the two measurements, which primarily reflects the fact that the rank‐ordering of persons according to their BMI is quite stable over time. In contrast, a lower BMI at baseline is related to a larger BMI change, which primarily reflects the fact that the variance of BMI at the end of treatment is larger than that at baseline. This study aimed to demonstrate these relationships empirically and caution against interpreting BMI at baseline as a predictor of BMI at discharge or BMI change.MethodChanges of BMI from admission to discharge were analyzed based on 4863 persons with AN (97% female) who received inpatient treatment between 2015 and 2024.ResultsBMI at admission was positively related to BMI at discharge (r = 0.55) but negatively related to BMI change from admission to discharge (r = −0.39).DiscussionWhile it is true that a higher BMI at baseline is associated with a higher BMI at the end of treatment, a lower BMI at baseline is actually related to a larger weight gain during treatment. Yet, concluding that the treatment is more effective for patients with low or high BMI at baseline would be incorrect in either case, as the independent and dependent variables are the same variables measured at different time points.
Climate‐associated variation in the within‐season dynamics of juvenile ticks in California
Authors: Sambado Samantha , MacDonald Andrew J. , Swei Andrea , Briggs Cheryl J. 
Published: November 2024

AbstractChanging climate has driven shifts in species phenology, influencing a range of ecological interactions from plant–pollinator to consumer–resource. Phenological changes in host–parasite systems have implications for pathogen transmission dynamics. The seasonal timing, or phenology, of peak larval and nymphal tick abundance is an important driver of tick‐borne pathogen prevalence through its effect on cohort‐to‐cohort transmission. Tick phenology is tightly linked to climatic factors such as temperature and humidity. Thus, variation in climate within and across regions could lead to differences in phenological patterns. These differences may explain regional variation in tick‐borne pathogen prevalence of the Lyme disease‐causing Borrelia bacteria in vector populations in the United States. For example, one factor thought to contribute to high Lyme disease prevalence in ticks in the eastern United States is the asynchronous phenology of ticks there, where potentially infected nymphal ticks emerge earlier in the season than uninfected larval ticks. This allows the infected nymphal ticks to transmit the pathogen to hosts that are subsequently fed upon by the next generation of larval ticks. In contrast, in the western United States where Lyme disease prevalence is generally much lower, tick phenology is thought to be more synchronous with uninfected larvae emerging slightly before, or at the same time as, potentially infected nymphs, reducing horizontal transmission potential. Sampling larval and nymphal ticks, and their host‐feeding phenology, both across large spatial gradients and through time, is challenging, which hampers attempts to conduct detailed studies of phenology to link it with pathogen prevalence. In this study, we demonstrate through intensive within‐season sampling that the relative abundance and seasonality of larval and nymphal ticks are highly variable along a latitudinal gradient and likely reflect the variable climate in the far western United States with potential consequences for pathogen transmission. We find that feeding patterns were variable and synchronous feeding of juvenile ticks on key blood meal hosts was associated with mean temperature. By characterizing within‐season phenological patterns of the Lyme disease vector throughout a climatically heterogeneous region, we can begin to identify areas with high potential for tick‐borne disease risk and underlying mechanisms at a finer scale.
Type I Interferon Drives a Cellular State Inert to TCR‐Stimulation and Could Impede Effective T‐Cell Differentiation in Cancer
Authors: Corvino Dillon , Batstone Martin , Hughes Brett G. M , Kempchen Tim , Ng Susanna S , Salim Nazhifah , Schneppenheim Franziska , Rommel Denise , Kumar Ananthi , Pearson Sally , Madore Jason , Koufariotis Lambross T. , Steinheuer Lisa Maria , Pathirana Dilan , Thurley Kevin , Hölzel Michael , Borcherding Nicholas , Braun Matthias , Bald Tobias 
Published: November 2024

ABSTRACTBackgroundHead and neck squamous cell carcinoma (HNSCC) is linked to human papillomavirus (HPV) infection. HPV‐positive and HPV‐negative HNSCC exhibit distinct molecular and clinical characteristics. Although checkpoint inhibitors have shown efficiency in recurrent/metastatic HNSCC, response variability persists regardless of HPV status. This study aimed to explore the CD8+ T‐cell landscape in HPV‐negative HNSCC.MethodsWe performed simultaneous single‐cell RNA and TCR sequencing of CD8+ tumor‐infiltrating lymphocytes (TILs) from treatment‐naïve HPV‐negative HNSCC patients. Additionally, cells were stimulated ex vivo, which allowed for the tracking of clonal transcriptomic responses.ResultsOur analysis identified a subset of CD8+ TILs highly enriched for interferon‐stimulated genes (ISG). TCR analysis revealed ISG cells are clonally related to a population of granzyme K (GZMK)‐expressing cells. However, unlike GZMK cells, which exhibited rapid effector‐like phenotypes following stimulation, ISG cells were transcriptionally inert. Additionally, ISG cells showed specific enrichment within tumor and were found across multiple tumor entities.ConclusionsISG‐enriched CD8+ TILs are a consistent feature of various tumor entities. These cells are poorly understood but possess characteristics that may impact antitumor immunity. Understanding the unique properties and functionality of ISG cells could offer innovative treatment approaches to improve patient outcomes in HPV‐negative HNSCC and other cancer types.
Chemical Synthesis of β‐(1,4)‐d‐Oligomannurarates with Purported Anti‐Alzheimer Activity
Authors: Shao Xiaofei , Xu Peng , Yu Biao 
Published: November 2024

AbstractSodium oligomannate, a sophisticated mixture of acidic linear β‐(1,4)‐d‐oligomannurarate ranging from dimers to decamers with an average molecular weight of 670∼880 Da, has gained conditional approval for the treatment of Alzheimer's disease. Herein, we develop an efficient approach to the chemical synthesis of well‐defined β‐(1,4)‐d‐mannurarate di‐, tetra‐, hexa‐ and octasaccharides (1–4), utilizing N‐phenyl trifluoroacetimidate donors and thioglycoside acceptors for the stereoselective assembly of the desired β‐(1,4)‐d‐mannuronate linkages. This approach features a straightforward protecting group strategy with only two types of protecting groups: tert‐butyldimethylsilyl (TBS) for the 4‐OH at the non‐reducing end and benzyl (Bn) for free hydroxyl and carboxylic acid moieties, thereby ensuring the stereoselective formation of the β‐mannosyl bonds and facilitating sequential transformation into the target β‐(1,4)‐d‐mannurarate oligosaccharides. The scalability of the present synthesis of these oligosaccharides paves the way for in‐depth structure‐activity relationship studies and pharmacological investigations of sodium oligomannates.
Impact of conducting agents on sulfide and halide electrolytes in disordered rocksalt cathode‐based all‐solid‐state batteries
Authors: Jung Youngkwang , Song You‐Yeob , Kim Yoon‐Seong , Chung Yubin , Lee Dae‐Hyung , Park Sang‐Wook , Kim Hojoon , Min Hong‐Seok , Park Jesik , Seong Juyeong , Jung Sung‐Kyun , Seo Dong‐Hwa 
Published: November 2024

AbstractAll‐solid‐state battery (ASSB) systems have attracted significant attention due to their high energy density and safety compared with conventional batteries. Moreover, the application of Mn‐based cation‐disordered rock‐salt (DRX) that possesses cost‐effectiveness and high energy density on the ASSB system as a cathode is expected to be the superior next‐generation battery system. However, DRX cathodes require high carbon contents due to their low electronic conductivity, leading to challenges in introducing them in ASSB systems, as the high carbon levels can cause electrolyte decomposition which potentially affects overall electrochemical performance. In this work, we applied Mn‐based DRX cathodes to ASSB systems within a voltage range of 1.5–4.8 V and evaluated the suitability of cathode composites using halide and sulfide electrolytes as catholytes, respectively. The experimental results showed that the high carbon contents induced side reactions with the argyrodite, resulting in electrochemical degradation such as the drop of initial discharge voltage and the capacity fading. Meanwhile, cathode composites using a halide electrolyte exhibited relatively enhanced electrochemical performance due to its high oxidation stability regardless of the high amount of carbon contents. Consequently, the electrochemical reactions of the electrolyte, influenced by the content of conductive additives and the type of electrolyte, had a great impact on the performance of ASSB systems. This study provides a deep understanding of the interplaying among solid electrolytes, cathodes, and conductive additives and offers an important foundation for future research and development in ASSB systems.image
An Ultra‐Short‐Term Multi‐Step Prediction Model for Wind Power Based on Sparrow Search Algorithm, Variational Mode Decomposition, Gated Recurrent Unit, and Support Vector Regression
Authors: Chen Yulong , Hu Xue , Liu Xiaoming , Zhang Lixin 
Published: November 2024

ABSTRACTAccurate ultra‐short‐term wind power prediction techniques are crucial for ensuring the efficient and safe operation of wind farms and power systems. Combined models based on data decomposition‐prediction techniques have shown excellent performance in ultra‐short‐term wind power forecasting. This study introduces a novel ultra‐short‐term multi‐step prediction model for wind power, which integrates the sparrow search algorithm (SSA), variational mode decomposition (VMD), gated recurrent unit (GRU), and support vector regression (SVR). An optimization variational mode decomposition technique is developed by adaptively determining VMD hyperparameters using SSA. The optimization VMD decomposes the original wind power sequence into sub‐modes, and the resulting sequence of decomposed sub‐modes calculates permutation entropy (PE) values. Sub‐modes with similar PE values are combined, reorganized, and categorized into high‐frequency and low‐frequency. High‐frequency sub‐modes data with high complexity and non‐stationarity are predicted by the GRU neural network. Low‐frequency sub‐modes data with low complexity and strong nonlinearity are predicted with SVR. The proposed model was evaluated against seven others using three error metrics: MAE, RMSE, and R2, along with their corresponding enhancement percentages. Experimental results indicate that the proposed model extracts detailed and trend information from the wind power series more effectively and stably than the comparison models. It also demonstrates superior multi‐step prediction performance, offering significant value for practical engineering applications.
A Secure and Decentralized Using Blockchain and Ring‐Based Cryptosystem
Authors: Ranganayakulu Dhanalakshmi , Jesubert Thangaraj Nithisha , Shanmugam Sathya Priya , Subbiyan Balasubramani 
Published: November 2024

ABSTRACTThe advancement of Intelligent Transport Systems (ITSs) and the Internet of Vehicles (IoVs) introduces significant security challenges, particularly in ensuring secure communication between vehicles and vehicles (V2V), vehicles and Road Side Units (V2RSU). These vulnerabilities could potentially compromise the integrity of vehicular networks, making robust security measures essential. This paper aims to develop a secure communication framework for IoV environments that addresses these security concerns by enhancing authentication and encryption processes. The proposed approach combines the Ring‐Based Degree Truncated Polynomial Cryptosystem (RNTPC) with a Blockchain framework incorporating an enhanced proof‐of‐authentication (BEPoAuth) consensus algorithm. The approach is initiated from the registration phase and managed by a Trusted Authority (TA), ensuring secure vehicle and RSU registration. Authentication is carried out in two ways: V2V authentication through vehicle signatures and V2RSU authentication via batch verification of cluster members. Group keys are generated using RNTPC for secure communication, and blockchain technology is integrated to secure transactions within the IoV environment. The proposed methodology is evaluated using various performance metrics, demonstrating a 15%–20% improvement in throughput compared to existing techniques such as Practical Byzantine Fault Tolerance (PBFT), Secure and Highly Efficient Blockchain PBFT Consensus Algorithm (SG‐PBFT), credit‐based PBFT consensus algorithm (CPBFT) and Geographic‐PBFT (G‐PBFT). The system also exhibited minimal computational and communication latency while enhancing V2V and V2RSU communication efficiency. The RNTPC‐BEPoAuth framework offers a robust and secure solution for IoV communications, significantly outperforming existing methods in terms of throughput and efficiency. This approach provides a reliable foundation for secure ITSs, addressing critical security concerns in vehicular networks.