bluuebunny/crossref_metadata_2025_split huggingface dataset:
Litter Chemistry Is a Main Driver of Inorganic Nitrogen in Disturbed Soils in the Arid Patagonian Monte
Authors: Bosco Tomás , Bertiller Mónica B. , Cisneros Hebe Saraví , Carrera Analía L. 
Published: October 2024

ABSTRACTChanges in plant cover and soil characteristics induced by grazing may affect litter quality and nitrogen (N) release under varying abiotic conditions. Our study was focused on the importance of litter chemistry as a main driver of inorganic N (ammonium‐N: NH4
+‐N and nitrate‐N: NO3
−‐N) release to soil. Both inorganic N forms are important components for N availability to plants and soil processes, and the long‐term conservation of soil‐N fertility. We analyzed the effect of secondary compounds and the C/N ratio in litter under varying soil water, and UV exposure on soil inorganic N (NH4
+‐N and NO3
−‐N) in Patagonian Monte degraded soils. We hypothesized that secondary compounds and C/N ratio in litter are main drivers of soil inorganic N under varying abiotic conditions. We conducted a microcosm experiment (13 months) using intact upper soil blocks from denuded soil areas. Surface soils were added with shrub (SL), and mixed grass and shrub (GSL) litter with high versus low secondary metabolites concentration and low vs. high C/N ratio, respectively. Microcosms were maintained under ambient and reduced UV exposure, and high and low soil water. We used microcosms without litter as controls. Monthly, we assessed NH4
+‐N and NO3
−‐N concentrations in upper and sub‐superficial soils. Litter chemistry interacting with abiotic factors did not significantly influence soil NH4
+‐N at any soil depth while litter chemistry was a main driver of NO3
−‐N in upper soil. SL enhanced NO3
−‐N in upper soil compared with GSL independently of abiotic factors. In upper soils without litter and in those with GSL, the highest NO3
−‐N concentration occurred mostly under high soil water and exposition to UV. We concluded that litter chemistry was a main driver of soil N fertility in disturbed rangelands. Shrub litter may enhance N fertility (NO3
−‐N) in degraded soils.
Disentangling effects of droughts and heatwaves on alpine periphyton communities: A mesocosm experiment
Authors: Nagao Tamika , Vinebrooke Rolf 
Published: October 2024

AbstractThe accelerating rate of global climate change at higher elevations and latitudes is increasing the potential for extreme climatic events. Here, a knowledge gap exists in how the order of exposure to, and duration of droughts and heatwaves affect their cumulative impact on aquatic communities. We tested experimentally for the legacy effects of simultaneous vs. sequential exposures to drought and heatwave on sediment‐dwelling algal communities (epipelon) from small fishless alpine lakes. In both simultaneous, and sequential exposure treatments involving drought followed by a heatwave, the negative effect of drought masked the effects of warming on chlorophyll‐inferred algal biomass and taxonomic composition. Reversal of order of exposure (i.e., heatwave followed by drought) lowered their cumulative effect on community structure. These findings highlight the potential for drought events to dominate over heatwaves in altering shallow littoral ecosystems at high elevations under a rapidly warming climate.
Mass‐Producible Self‐Powered Solar‐Blind Ultraviolet Photodetector Based on Graphene/β‐Ga2O3 Heterojunction Processed by Wet Transfer
Authors: Fang Cizhe , Wang Yibo , Li Tongzhou , Zeng Xiangyu , Li Xiaoxi , Yang Jiayong , Wang Di , Zhang Hongrui , Liu Yan , Hao Yue , Han Genquan 
Published: October 2024

AbstractGraphene electrodes draw considerable attention in solar‐blind ultraviolet (SBUV) detection owing to their unique features including high ultraviolet (UV) transparency and superior intrinsic carrier mobilities. However, their adoption comes with challenges, as the most commonly used preparation technique, i.e., the dry transfer process, is challenging to achieve mass production. In this work, graphene/β‐Ga2O3 heterojunction photodetectors processed by wet transfer are reported. Benefiting from the UV‐transparent electrode and heterojunction, both the responsivity and response speed are improved. The characteristic of the graphene/β‐Ga2O3 interface is analyzed by the current–voltage (I–V) and capacitance–voltage (C–V) curves, featuring a high‐quality junction. Operated at zero bias, the photodetector exhibits a low dark current of less than 1 pA and a high response speed of less than 1 ms. An excellent UV‐C/visible rejection ratio is also achieved. Importantly, the photodetector performs excellent reproducibility and performance stability. This results provide a new perspective for the mass production of graphene/Ga2O3 integrated devices, enabling high‐performance Ga2O3 photodetector arrays.
See‐Through Conformable Holographic Metasurface Patches for Augmented Reality
Authors: Gan Yuhui , Xiao Jianling , Plaskocinski Tomasz , Persheyev Saydulla , Biabanifard Mohammad , Di Falco Andrea 
Published: October 2024

AbstractCurrent requirements for augmented reality (AR) applications demand the use of dedicated AR glasses, which often need custom prescription lenses or contact lenses to correct common visual impairments, thus limiting AR's broader experiences. Here, an innovative methodology for the design, fabrication, and comprehensive analysis of a flexible, reflective‐type holographic metasurface patch designed for AR applications is presented. By fabricating a conformable metasurface on a transparent and flexible substrate, a prototype of AR eyeglasses is successfully created, capable of transforming everyday eyewear into AR glasses. The prototype is tested under both indoor and outdoor conditions, proving its effectiveness in delivering immersive AR imaging presentations. The metasurface's compact size does not interfere with normal vision. This approach increases the relevance and applicability of AR technology by making AR experiences accessible to a wider audience.
Redefining Excellence: Exploring the Influence of Social Comparison on Green Product Evaluation
Authors: Wang Ya , Wu Shuilong , Li You , Sheng Shibin , Yuan Yongna 
Published: October 2024

ABSTRACTIn recent decades, green consumption has gained considerable attention among academic and business circles. While previous research has shown that green products combine environmental value and status symbols, the role of micro‐social environments has been insufficiently examined in studies exploring the antecedents of green consumption. Social comparison, a central feature of human social life, has been overlooked. Therefore, this research conducted five empirical studies to investigate the impact of social comparison on green product evaluations. We find that upward and downward comparisons positively influence consumers' attitudes, purchase intentions, and actual choices of green products. Notably, feelings of self‐threat mediate this effect in upward comparison situations, while authentic pride mediates this effect in downward comparison situations. Furthermore, the impact of social comparison on green product evaluations is moderated by consumers' self‐monitoring. Specifically, this effect is strengthened for consumers with high self‐monitoring and attenuated for those with low self‐monitoring. These findings offer novel perspectives on green consumption and marketing implications for managers.
Genetic and Epidemiological Insights into RAB32‐Linked Parkinson's Disease
Authors: Radefeldt Mandy , Lemke Sabrina , Chaichoompu Kridsadakorn , Paul Jefri Jeya , Curado Filipa , Valzania Franco , Cavallieri Francesco , Fioravanti Valentina , Valente Enza Maria , Avenali Micol , Negrotti Anna , Hanagasi Hasmet A. , Thonke Sven , Matarazzo Michele , Panzavolta Andrea , Cerami Chiara , Westenberger Ana , Klein Christine , Bauer Peter , Beetz Christian 
Published: October 2024

AbstractBackgroundThe p.Ser71Arg RAB32 variant was recently associated with Parkinson's disease (PD).ObjectiveThe aim was to investigate the presence of RAB32 variants in a large multiethnic group of individuals affected and unaffected by PD.MethodsWe queried our proprietary database that contains exome/genome sequencing data of >180,000 individuals. Additional PD patients were genotyped, and proximal p.Ser71Arg‐associated haplotypes were constructed.Resultsp.Ser71Arg was present in 11 PD patients (73% from northern Italy) and in 35 individuals (89% from the Middle East and North Africa [MENA]) aged <50 years without PD‐relevant symptoms. It was found in‐cis to a set of proximal single‐nucleotide polymorphisms. Additional RAB32 variants were comparably frequent in PD and non‐PD individuals.ConclusionsThe RAB32 p.Ser71Arg variant defines a cluster of PD patients in northern Italy. Globally, it is most prevalent in MENA. Our data indicate that p.Ser71Arg causes PD and that it occurred only once, through a founder event. Other RAB32 variants are unlikely to cause PD. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Coupling Geomechanical and Gravity Flow Models to Obtain More Representative Flow Simulations and Air‐Gap Risk Identification in Caving Mining
Authors: Castro Raúl , Oyarzo Diego , Gómez René , Suzuki Kimie , Cifuentes Miguel 
Published: October 2024

ABSTRACTThe extraction and propagation of caving are complex phenomena involving the breaking of the rock mass, the formation of a column of broken material, and the extraction from the column base. Geomechanical modeling in cave mining commonly uses approaches to model the rock mass as a continuous material, while discontinuous modeling is frequently used for the column of broken material. However, it remains complex to include all mechanisms in a single model. Therefore, to achieve a better representation of ore breakage and extraction in caving mining, this work couples FLAC3D, a continuous finite volume tool, with FlowSim, a discrete tool based on cellular automata, to determine the air gap volume. The methodology first defines the height of caving propagation and the cave back with a tool that models solid rock mass in a continuous manner, which are used to constrain the cellular automata tool that simulates the flow of broken material. The results show that unidirectional FLAC3D‐FlowSim coupling reproduces the generation of cave backs and air gaps in the propagation of caving, rendering the methodology valuable for preliminary estimation of air volumes over fragmented material and the generation of supportive data to control the caving process.
Prospective 3D Fat Navigator (FatNav) motion correction for 7T Terra MRI
Authors: Klodowski Krzysztof , Sengupta Ayan , Dragonu Iulius , Rodgers Christopher T. 
Published: October 2024

AbstractUltra‐high field (7T) MRI allows scans at sub‐millimetre resolution with exquisite signal‐to‐noise ratio (SNR). As 7T MRI becomes more widely used clinically, the challenge of patient motion must be overcome. Retrospective motion correction is used successfully for some protocols, but for acquisitions such as slice‐by‐slice scans only prospective motion correction can deliver the full potential of 7T MRI. We report the first implementation of prospective 3D Fat Navigator (“FatNav”) motion correction for the Siemens 7T Terra MRI. We implemented a modular Sequence Building Block for FatNav and embedded it into the vendor's gradient‐recalled echo (GRE) sequence. We modified the reconstruction pipeline to reconstruct FatNav images online, coregistering them and sending motion updates to the host sequence online. We tested five registration algorithms for performance and accuracy on synthetic FatNav data. We implemented the best three of these in our sequence and tested them online. We acquired T1 and T2* weighted brain images of healthy volunteers correcting every other image for motion to visualise the effectiveness of online motion correction. Data were acquired with and without head immobilisation. We also tested performance while correcting every measurement for motion. Our implementation uses a 1.23 s 3D FatNav acquisition module and delivers motion updates in less than 3 s, which is sufficient for motion updates every few k‐space lines in typical scans. Corrected images are crisper with fewer visible motion artefacts. This improved sharpness is reflected quantitatively by an increase in the variance of the image Laplacian which is 1.59 x better for corrected vs uncorrected images. Profiles across the cerebral falx are 33% steeper for corrected vs uncorrected images. Prospective FatNav improves GRE image quality in the brain. Our modular Sequence Building Block provides a simple method to integrate motion correction in 7T MRI pulse sequences.
An Exploration of Registered Nurses' Experiences Caring for Patients Taking Medicinal Cannabis
Authors: McIntosh Nicole , Wilson Nathan J. , Povalej Petra , Hunt Leanne , Lewis Peter 
Published: October 2024

ABSTRACTAimsThis study aimed to describe nurses' experiences caring for patients who use medicinal cannabis. For the purpose of this study, the term ‘medicinal cannabis’ is used to describe cannabis‐based products that are sourced legally or illegally.DesignQualitative study using thematic analysis.MethodsEleven registered nurses explored their experiences caring for patients using medicinal cannabis in the Australian healthcare sector. Semistructured interviews were via telephone, Zoom or face to face. Transcribed interview data were analysed using the six phases of thematic analysis.ResultsThe nurses' experiences of caring for patients who use medicinal cannabis were described in three themes; ‘Searching for predictable processes of regulation, access and use of medicinal cannabis’, ‘One conundrum after another’ and ‘There is a lot to learn’. Overall, nurses described feeling underprepared to care for patients who use or want to use medicinal cannabis in the Australian healthcare sector.ConclusionThe results indicate that nurses want to have meaningful discussions with patients about the use of medicinal cannabis, yet do not always have the confidence to do so. Nurses sought their own education on how to better support patients. All participants echoed the need for education. The nurse's role in caring for and supporting patients using medicinal cannabis could improve the patient experience.Implications for the Profession and/or Patient CareNurses play an essential role in improving the patient's experience and advocating for those using or wanting to discuss medicinal cannabis as a part of holistic care. Defining the nurse's role in effectively caring for patients can begin by providing evidence‐based education to nurses. Including nurses in policy development and beginning to understand the legal and regulatory implications for nurses are important.ImpactThis is the first study presenting current issues for nurses who care for patients using medicinal cannabis in Australian healthcare systems.Reporting MethodCOREQ guidelines were adhered to for this study.No Patient or Public ContributionFor this research project on the experiences of registered nurses caring for patients using medicinal cannabis, we did not engage members of the patient population or the general public.
Distributed Optimization on Matrix‐Weighted Networks
Authors: Cui Qiuyan , Ji Zhijian , Liu Yungang , Lin Chong 
Published: October 2024

ABSTRACTThis article is intended to tackle the optimization problems for continuous‐time first‐order and second‐order multi‐agent systems (MASs) operating over matrix‐weighted networks. A matrix‐weighted network serves as a powerful framework to model the interdependence among agents' multidimensional states, providing an effective approach to analyze smart grids, intelligent transportation systems, and so forth. Our optimization objective is to facilitate the convergence of all agents toward the optimal value of a global cost function, which is formed by a sum of local cost functions. To achieve this goal, distributed optimization algorithms based on Hessian matrix and gradient information are constructed. Additionally, an edge‐based event‐triggered mechanism is utilized to avoid communicating with all neighbors at the time of event triggering. It is proved that this mechanism theoretically excludes Zeno behavior. The results show that the proposed algorithms ensure that the agents can achieve the optimization goal while reducing energy consumption. Finally, an application is presented to substantiate the theoretical results.
Finite Horizon Stochastic H2/H∞ Control for Continuous‐Time Systems Driven by G‐Brownian Motion
Authors: Han Huimin 
Published: October 2024

ABSTRACTIn this article, we consider a stochastic control problem under volatility ambiguity. In this framework, the state function is described by a stochastic differential equation driven by ‐Brownian motion. Different from the classical approach, the volatility ambiguity is characterized by a family of non‐dominated probability measures. control can be modeled as a “inf‐sup problem” and control can be modeled as a “sup‐sup problem.” With the help of stochastic maximum principle and dynamic programming principle, we derive the stochastic bounded real lemma and two sets of cross coupled generalized differential Riccati equations, which is associated with the solvability of control.
Highly Active and Durable Nanostructured Nickel‐Molybdenum Coatings as Hydrogen Electrocatalysts via Solution Precursor Plasma Spraying
Authors: Wu Xiuyu , Piñeiro‐García Alexis , Rafei Mouna , Kuzhikandathil Alice , Canto‐Aguilar Esdras J. , Gracia‐Espino Eduardo 
Published: October 2024

AbstractThe increasing demand for green hydrogen is driving the development of efficient and durable electrocatalysts for the hydrogen evolution reaction (HER). Nickel‐molybdenum (NiMo) alloys are among the best HER electrocatalysts in alkaline electrolytes, and here we report a scalable solution precursor plasma spraying (SPPS) process to produce the highly active Ni4Mo electrocatalysts directly onto metallic substrates. The NiMo coating coated onto inexpensive Ni mesh revealed an excellent HER performance with an overpotential of only 26 mV at −10 mA cm−2 with a Tafel slope of 55 mV dec−1. Excellent operational stability with minimum changes in overpotential were also observed even after extensive 60 hour high‐current stability test. In addition, we investigate the influence of different substrates over the catalytic performance and operational stability. We also proposed that a slow, but consistent, dissolution of Mo is the primary degradation mechanism of NiMo‐based coatings. This unique SPPS approach enables the scalable production of exceptional NiMo electrocatalysts with remarkable activity and durability, positioning them as ideal cathode materials for practical applications in alkaline water electrolysers.
Enhancing the Interfacial Property Between UHMWPE Fibers and Epoxy Through Polydopamine and SiO2 Surface Modification
Authors: Ben Nengjun , Jiang Sulun , Zhao Liping , Gong Jiale , Shen Lu , Wang Kui , Tang Chenyang 
Published: October 2024

AbstractHere, a combination of dopamine self‐polymerization and epoxy modified SiO2 (M‐SiO2) grafting was proposed, with the purpose of increasing interfacial adhesion of UHMWPE fiber. Inspired by mussel adhesion, polydopamine (PDA) was deposited onto the surface of UHMWPE fiber to form a thin layer with amino and hydroxyl groups. M‐SiO2 nanoparticles were then adhered to fiber surface via chemical reactions by a “two‐step” or “one‐step” technology. In the “two‐step” technique, the M‐SiO2 nanoparticles were adhered to the surface of PDA modified UHMWPE fiber via reactions between epoxy and amino groups. In the “one‐step” method, M‐SiO2 and dopamine were added into the UHMWPE/Tris solution at the same time. Surface morphology and thermal properties of various UHMWPE fibers were tested by SEM and TGA, respectively. Surface wettability of different UHMWPE fibers were evaluated by dynamic contact angle. The results proved that PDA and M‐SiO2 were successfully adhered to the surface of UHMWPE fibers. The mechanical property of modified UHMWPE/Epoxy composites was investigated, and 43.7 % improvement was obtained, compared with unmodified UHMWPE/Epoxy composite. Additionally, micro‐bond test revealed that the interfacial property (IFSS value) of modified UHMWPE fiber via the “one‐step” method was 6.08 MPa, significantly higher than that of unmodified UHMWPE fiber (2.47 MPa).
Anxiolytic Efficacy of Indirubin: In Vivo Approach Along with Receptor Binding Profiling and Molecular Interaction with GABAergic Pathways
Authors: Disha Ishrat Jahan , Hasan Rubel , Bhuia Shimul , Ansari Siddique Akber , Ansari Irfan Aamer , Islam Muhammad Torequl 
Published: October 2024

AbstractAnxiety is a natural response to stress, characterized by feelings of worry, fear, or unease. The current research was conducted to investigate the anxiolytic effect of indirubin (IND) in different behavioral paradigms in Swiss albino mice. To observe the animal's behavioural response to assess anxiolytic activity, different tests were performed, such as the open‐field (square cross, grooming, and rearing), swing, dark‐light, and hole cross tests. The experimental mice were administered IND (5 and 10 mg/kg, p.o.), where diazepam (DZP) and vehicle were used as positive and negative controls, respectively. In addition, a combination treatment (DZP+IND‐10) was provided to the animals to determine the modulatory effect of IND on DZP. Molecular docking approach was also conducted to determine the binding energy of IND with the GABAA receptor (α2 and α3 subunits) and pharmacokinetics were also estimated. The findings revealed that IND dose‐dependently significantly (p<0.05) reduced the animal's movement exerting calming behavior like DZP. IND also demonstrated the highest docking score (−7.7 kcal/mol) against the α3 subunit, while DZP showed a lower docking value (−6.4 kcal/mol) than IND. The ADMET analysis revealed that IND has proper drug‐likeness and pharmacokinetic characteristics. In conclusion, IND exerted anxiolytic effects through GABAergic Pathways.