bluuebunny/crossref_metadata_2025_split huggingface dataset:
The right banker plant for the right application: Comparison of three candidates for aphid biocontrol, barley (Hordeum vulgareL.), corn (Zea maysL.), and finger millet (Eleusine coracana (L.) Gaertn)
Authors: Fauteux Arlette , Fournier Marc , Soares Antonio Onofre , Lucas Eric 
Published: February 2024

AbstractBACKGROUNDIn temperate regions, aphid biological control in greenhouses is mostly achieved by the regular release of biocontrol agents. Due to the rapid growth rate of the aphid population, biocontrol agents must be released frequently in order to be present before pest outbreaks and to act rapidly to prevent exceeding the economic threshold. Banker plants reduce these numerous releases by providing natural enemies with a high‐quality environment to develop and reproduce. Optimally, banker plants should be easy to produce, resistant to environmental conditions, provide a large amount of suitable banker prey in order to produce a high number of biocontrol agents, and resist the herbivory pressure of the banker prey. The present study aimed to compare the value of three banker plant candidates of the Poaceae family under laboratory and greenhouse conditions: barley (Hordeum vulgare L.), finger millet (Eleusine coracana (L.) Gaertn), and corn (Zea mays L.).RESULTSOur results show that the three plants were suitable for different contexts. Finger millet yielded the biggest fresh plant biomass, supported the highest load of banker prey, and resisted aphid feeding longer than the other plant species. Corn was the cheapest to produce, and barley was the fastest to grow.CONCLUSIONSOverall, finger millet could be more fitted for long crop cycles, pests with rapid population growth rates, and voracious or fast‐reproducing biocontrol agents. Meanwhile, barley and corn may be better suited for rapid crop cycles, pests with slow population growth rates, and biocontrol agents that are not too voracious or have low reproductive rates. © 2024 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Data‐driven disease progression model of Parkinson's disease and effect of sex and genetic variants
Authors: Jin Ryota , Yoshioka Hideki , Sato Hiromi , Hisaka Akihiro 
Published: February 2024

AbstractAs Parkinson's disease (PD) progresses, there are multiple biomarker changes, and sex and genetic variants may influence the rate of progression. Data‐driven, long‐term disease progression model analysis may provide precise knowledge of the relationships between these risk factors and progression and would allow for the selection of appropriate diagnosis and treatment according to disease progression. To construct a long‐term disease progression model of PD based on multiple biomarkers and evaluate the effects of sex and leucine‐rich repeat kinase 2 (LRRK2) mutations, a technique derived from the nonlinear mixed‐effects model (Statistical Restoration of Fragmented Time course [SReFT]) was applied to datasets of patients provided by the Parkinson's Progression Markers Initiative. Four biomarkers, including the Unified PD Rating Scale, were used, and a covariate analysis was performed to investigate the effects of sex and LRRK2‐related mutations. A model of disease progression over ~30 years was successfully developed using patient data with a median of 6 years. Covariate analysis suggested that female sex and LRRK2 G2019S mutations were associated with 21.6% and 25.4% significantly slower progression, respectively. LRRK2 rs76904798 mutation also tended to delay disease progression by 10.4% but the difference was not significant. In conclusion, a long‐term PD progression model was successfully constructed using SReFT from relatively short‐term individual patient observations and depicted nonlinear changes in relevant biomarkers and their covariates, including sex and genetic variants.
Quercetin as a promising intervention for rat osteoarthritis by decreasing M1‐polarized macrophages via blocking the TRPV1‐mediated P2X7/NLRP3 signaling pathway
Authors: Li Wenjun , He Hebei , Du Min , Gao Mu , Sun Qijie , Wang Yeyang , Lu Hanyu , Ou Shuanji , Xia Changliang , Xu Changpeng , Zhao Qi , Sun Hongtao 
Published: February 2024

AbstractOsteoarthritis (OA) is characterized by an imbalance between M1 and M2 polarized synovial macrophages. Quercetin has shown protective effects against OA by altering M1/M2‐polarized macrophages, but the underlying mechanisms remain unclear. In this study, rat chondrocytes were treated with 10 ng/mL of IL‐1β. To create M1‐polarized macrophages in vitro, rat bone marrow‐derived macrophages (rBMDMs) were treated with 100 ng/mL LPS. To mimic OA conditions observed in vivo, a co‐culture system of chondrocytes and macrophages was established. ATP release assays, immunofluorescence assays, Fluo‐4 AM staining, Transwell assays, ELISA assays, and flow cytometry were performed. Male adult Sprague–Dawley (SD) rats were used to create an OA model. Histological analyses, including H&E, and safranin O‐fast green staining were performed. Our data showed a quercetin‐mediated suppression of calcium ion influx and ATP release, with concurrent downregulation of TRPV1 and P2X7 in the chondrocytes treated with IL‐1β. Activation of TRPV1 abolished the quercetin‐mediated effects on calcium ion influx and ATP release in chondrocytes treated with IL‐1β. In the co‐culture system, overexpression of P2X7 in macrophages attenuated the quercetin‐mediated effects on M1 polarization, migration, and inflammation. Either P2X7 or NLRP3 knockdown attenuated IL‐1β‐induced M1/M2 polarization, migration, and inflammation. Moreover, overexpression of TRPV1 reduced the quercetin‐mediated suppressive effects on OA by promoting M1/M2‐polarized macrophages in vivo. Collectively, our data showed that quercetin‐induced suppression of TRPV1 leads to a delay in OA progression by shifting the macrophage polarization from M1 to M2 subtypes via modulation of the P2X7/NLRP3 pathway.
Critical review on anti‐inflammation effects of saponins and their molecular mechanisms
Authors: Wijesekara Tharuka , Luo Jinhai , Xu Baojun 
Published: February 2024

AbstractThis review highlights the increasing interest in one of the natural compounds called saponins, for their potential therapeutic applications in addressing inflammation which is a key factor in various chronic diseases. It delves into the molecular mechanisms responsible for the anti‐inflammatory effects of these amphiphilic compounds, prevalent in plant‐based foods and marine organisms. Their structures vary with soap‐like properties influencing historical uses in traditional medicine and sparking renewed scientific interest. Recent research focuses on their potential in chronic inflammatory diseases, unveiling molecular actions such as NF‐κB and MAPK pathway regulation and COX/LOX enzyme inhibition. Saponin‐containing sources like Panax ginseng and soybeans suggest novel anti‐inflammatory therapies. The review explores their emerging role in shaping the gut microbiome, influencing composition and activity, and contributing to anti‐inflammatory effects. Specific examples, such as Panax notoginseng and Gynostemma pentaphyllum, illustrate the intricate relationship between saponins, the gut microbiome, and their collective impact on immune regulation and metabolic health. Despite promising findings, the review emphasizes the need for further research to comprehend the mechanisms behind anti‐inflammatory effects and their interactions with the gut microbiome, underscoring the crucial role of a balanced gut microbiome for optimal health and positioning saponins as potential dietary interventions for managing chronic inflammatory conditions.
Decomposing the role of dry intrusions for ocean evaporation during mistral
Authors: Givon Yonatan , Keller Douglas , Pennel Romain , Drobinski Philippe , Raveh‐Rubin Shira 
Published: February 2024

AbstractThe mistral is a northerly gap‐wind regime blowing through the Rhone Valley in Southern France. It is held responsible for the sea‐surface cooling necessary to produce deep convection in the Gulf of Lion through turbulent ocean heat loss. The mistral is tightly connected to lee‐cyclogenesis in the Gulf of Genoa, where topography forces substantial downward motion. Dry intrusions (DIs) are airstreams forming the descending branch of extratropical cyclones. Known to induce cold and dry surface anomalies, DIs are potential contributors to enhanced surface evaporation during mistral. In this study, a climatological database (ERA‐INTERIM, 1981–2016) of mistral–DI co‐occurrence is constructed, allowing quantification of the impact of DIs on the mistral evaporative hot spot for the first time. We find that, on average, mistral–DI evaporation rates are doubled, compared to mistral without DIs. Moreover, cluster‐composite analysis reveals amplifications exceeding 300% between dynamically similar mistral events, with response to DIs. Daily latent heat‐flux anomalies in the Gulf of Lion are decomposed into contributions from the various parameters to analyse the mistral evaporation response to DIs. Mistral–DI events are shown to produce extreme evaporation rates through increased mistral wind speeds. The results highlight the downward momentum flux delivered by DIs to the mistral at the Gulf of Lion as the primary driver of the evaporation amplification mechanism. We further explore the variability between different mistral–DI events and conclude that extreme mistral–DI evaporation events are linked to descending air trajectories entering the Gulf of Lion at an early stage of their lifetimes. These DIs charge the mistral with maximum vertical momentum fluxes, which act to intensify surface winds and hence evaporation rates.
Unusual subseasonal variability of Indian summer monsoon rainfall in 2020
Authors: Darshana Patekar , Chowdary Jasti S. , Parekh Anant , Gnanaseelan C. , Fousiya T. S. , Vibhute Amol , Halder Subrota , Singh Prem , Kakatkar Rashmi 
Published: February 2024

AbstractAbove‐normal all‐India summer monsoon (ISM) rainfall was received in 2020 with 109% of its long‐period average. According to the India Meteorological Department (IMD), ISM 2020 experienced robust month‐to‐month rainfall variations; in particular, the peak monsoon month of July 2020 witnessed deficit rainfall. The present study investigated the possible mechanisms that are responsible for the July 2020 deficit rainfall. Analysis revealed that the strong low‐level moisture divergence caused by the westward‐propagating atmospheric Rossby wave, induced by suppressed western North Pacific (WNP) convection, is primarily responsible for the July rainfall deficit. The WNP suppressed convection is linked to anomalous low‐level anticyclonic circulation. It is noted that the intense WNP anticyclone is maintained by the tropical Indian Ocean (TIO) warming‐induced atmospheric Kelvin waves and strong low‐level convergence over the Meiyu‐Baiu rainband. Unlike July, the strength of the WNP anticyclone and TIO warming are weaker in June and August. In addition to the observational analysis, the skill of the Climate Forecast System version‐2 (CFSv2) model in predicting the July rainfall at a lead of about two months is examined. Strong positive rainfall anomalies over India are predicted by the model in July, which is in contrast to the observations. Despite predicting the TIO warming, the model failed to capture the westward extension of the WNP anticyclone, which impacted the July rainfall prediction. To understand the importance of the WNP anticyclone on ISM rainfall, a CFSv2 sensitivity experiment is carried out by imposing strong negative sea surface temperature (SST) anomalies over the WNP region to excite the anticyclone. Both the westward extension of the WNP anticyclone and suppressed rainfall over the core monsoon region in July are captured by the model when low‐level circulation is imposed. The model sensitivity experiment strongly supports the role of the WNP anticyclone and its westward extension in inducing reduced rainfall in July 2020 over the monsoon trough region.
Impact of modified Harris hawks optimization on hybrid deep learning for untrained plant leaf classification
Authors: Dudi Bhanuprakash , Rajesh V. 
Published: February 2024

AbstractPlants are extensively dispersed in nature, and they are essential for the survival and growth of the entire living creatures on the planet. Leaf classification and identification are critical in botany for recognizing new or endangered tree species. Leaf classification must be done quickly and accurately to sustain agricultural products. Traditional methods used manual classification of plant species. However, this method is costly, time‐consuming, and in some circumstances, impracticable. In the domains of image classification, target identification, and other fields, the new generation of Convolutional Neural Networks (CNNs) has shown outstanding outcomes. However, there exist some practical difficulties in executing these artificial neural networks. Owing to its high complexity and colossal running time, and also insufficient efficiency, the performance of classification is affected. An inappropriate count of neurons at each hidden layer may lead to an overfitting or underfitting problem. Thus, the core concept of this task is concerned with a novel technique for the growth of plant leaf classification for untrained data by hybridized classifiers. The core concept of this task is to find untrained data. The leaf images are collected from online sources. The images are further fed to the preprocessing phase. Pattern extraction is done on the preprocessed image using Weighted Weber Local Pattern. This preprocessed image is used for the classification of untrained data using hybridized deep‐structured architectures. Here, the combination of CNN with Recurrent Neural Network (RNN) and CNN with Support Vector Machine (SVM) is utilized for classification. Averaging the classification score of both hybrid techniques with parameter and threshold being optimized by the Best Searchable Modified Harris Hawks Optimization (BM‐HHO) produces the best classification outcome for untrained data. Here, the corresponding leaf type is classified if the input is given as the trained leaf images. Simultaneously, if the other types of data, like, palm tree leaf images, are given as input, and then explicitly shows the output as another type of leaves (or) untrained data. The experimental outcomes on the benchmark data set containing leaf images reveal that the introduced method achieved a higher accuracy than the conventional techniques. The accuracy of BM‐HHO‐CRNN + CSVM at the 65th learning rate is 3.43%, 0.84%, 1.80%, and 1.05% superior to HHO‐CRNN + CSVM, SS‐WOA‐CRNN + CSVM, WOA‐CRNN + CSVM, and SSO‐CRNN + CSVM.
Assessing entrainment of larval fish in the Hogback Diversion Canal, San Juan River
Authors: Clark Barkalow Stephani L. , Dudley Robert K. , Platania Steven P. , Brandenburg W. Howard , McKinstry Mark C. , White Gary C. 
Published: February 2024

AbstractWater diversions worldwide may entrain or impinge fish and have population‐level impacts, but barriers like fish screens can reduce such threats. Traditional barriers are ineffective in the San Juan River, USA, due to high sediment and debris loads, so the Hogback Diversion Canal, NM, employs a novel weir wall design to reduce entrainment of sub‐adult and adult fishes. We evaluated the effectiveness of the weir wall in reducing the entrainment of larval fish using a combination of experimental and overnight trials. Larval fish densities were compared between the irrigation canal that delivers water to irrigators and subsequently entrains fish and the bypass canal that conveys water and fish back to the river. The density of hatchery‐produced larval fish collected in the irrigation canal during the experimental trial (0.74 fish/m3) was 52% of their density in the bypass canal (1.43 fish/m3), suggesting entrainment reduction. The density of wild‐produced larvae during overnight trials indicated some minor, mostly nonsignificant, differences between catch rates in irrigation and bypass canals, ontogenetic phases, and sampling dates. Though entrainment rates of wild‐produced larvae were not significantly reduced, density differences among postflexion mesolarvae and metalarvae suggest possible entrainment reduction of more developed ontogenetic phases. More intensive research is necessary to better elucidate the efficacy of the novel weir wall for reducing the entrainment of larval fish. However, our larval fish results and the results from prior large‐bodied entrainment studies suggest the novel weir wall may reduce fish entrainment in water diversions and benefit fluvial ecosystems in which traditional screens are unfeasible.
Quantification of sediments and delineation of their sources in Nyabugogo Stream, RWANDA: Relationship with economic development activities
Authors: Turatsinze Jules , Ndokoye Pancras 
Published: February 2024

AbstractNyabugogo Stream receives sediment loads from practiced economic activities along its path, these sediment loads affect the composition of the water by changing its natural state, and lead to its deterioration and riverine wetland ecosystem. In this study the main sources of sediments are delineated, while corresponding loads are also quantified. After the analysis of those sediments in different periods, the relationship between economic development activities and sediment loads in Nyabugogo Stream were also determined. The findings revealed that the top most economic activities impacting the quantity of sediment load in Nyabugogo Stream were found to be mining followed by poor agricultural practices, deforestation, untreated sewages, and clay mining/fabrication of bricks respectively. Analysed samples showed in laboratory that at point A situated in Rutare sector have the lowest value of sediment loads of 3.29 × 106 tons/year while at point C situated in Kigali sector have the highest value of 141.35 × 106 tons/year, these results showed to be increased as the stream flows from Lake Muhazi to Nyabarongo River as the Stream continue to be experiencing the increase of economic activities practiced in the its catchment which also have been delineated using ArcMap, this showed the relationship between economic activities and sediment loads generated in the stream. The researchers recommend to impose the enforcement of regulations, policies and guidelines for different economic activities so that they cannot pollute natural water bodies and disturb aquatic ecosystem.
Do you believe it? Green advertising skepticism and perceived value in buying electric vehicles
Authors: Higueras‐Castillo Elena , Liébana‐Cabanillas Francisco , Santos Manuel Alonso Dos , Zulauf Katrin , Wagner Ralf 
Published: February 2024

AbstractThe transportation sector's substantial greenhouse gas emissions necessitate solutions that promote sustainability. One potential approach is the higher adoption of electric vehicles (EVs). This study aims to empirically investigate the determinants of customers' intentions to adopt EVs, with a strong focus on the concept of green value. Framed in adaption‐innovation theory and based on the customer perceived value model, this research analyses the influence of emotion, price, quality, social, green value and green advertising skepticism on purchase intention and customer engagement. Employing a PLS approach to fit the conceptual model to data obtained from an online survey of potential customers in Germany, Spain, and Chile (N = 791), we found evidence of a substantial and significant impact of green advertising skepticism on purchase intention and green perceived value. Notably, the social value of electric vehicles is the most crucial driver of customers' buying intention and is more important than price and green perceived value.
Devastating the Supply Wagons: Multifaceted Liposomes Capable of Exhausting Tumor to Death via Triple Energy Depletion
Authors: Wang Tian‐Yu , Zhu Xiao‐Yu , Jia Hao‐Ran , Zhu Ya‐Xuan , Zhou Yong‐Xi , Li Yan‐Hong , Gao Cheng‐Zhe , Pan Guang‐Yu , Wu Fu‐Gen 
Published: February 2024

AbstractThe anabolism of tumor cells can not only support their proliferation, but also endow them with a steady influx of exogenous nutrients. Therefore, consuming metabolic substrates or limiting access to energy supply can be an effective strategy to impede tumor growth. Herein, a novel treatment paradigm of starving‐like therapy—triple energy‐depleting therapy—is illustrated by glucose oxidase (GOx)/dc‐IR825/sorafenib liposomes (termed GISLs), and such a triple energy‐depleting therapy exhibits a more effective tumor‐killing effect than conventional starvation therapy that only cuts off one of the energy supplies. Specifically, GOx can continuously consume glucose and generate toxic H2O2 in the tumor microenvironment (including tumor cells). After endocytosis, dc‐IR825 (a near‐infrared cyanine dye) can precisely target mitochondria and exert photodynamic and photothermal activities upon laser irradiation to destroy mitochondria. The anti‐angiogenesis effect of sorafenib can further block energy and nutrition supply from blood. This work exemplifies a facile and safe method to exhaust the energy in a tumor from three aspects and starve the tumor to death and also highlights the importance of energy depletion in tumor treatment. It is hoped that this work will inspire the development of more advanced platforms that can combine multiple energy depletion therapies to realize more effective tumor treatment.
Hierarchical MOFs with Good Catalytic Properties and Structural Stability in Oxygen‐Rich and High‐Temperature Environments
Authors: Zheng Zeyu , Zhou Peng , Tang Xiaolin , Zeng Qihui , Yi Shengping , Liao Jun , Hu Mingjie , Wu Dan , Zhang Bin , Liang Jiqiu , Huang Chi 
Published: February 2024

AbstractMetal‐organic framework materials are ideal materials characterized by open frameworks, adjustable components, and high catalytic activity. They are extensively utilized for catalysis. Due to decomposition and structural collapse under high temperatures and an oxygen‐rich environment, the potential of thermal catalysis is greatly limited. In this research, Co‐rich hollow spheres (Co‐HSs) with a gradient composition are designed and synthesized to investigate their thermal catalytic properties in the ammonium perchlorate（AP）system. The results demonstrate that Co‐HSs@AP exhibits good thermal catalytic activity and a high‐temperature decomposition of 292.5 °C, which is 121.6 °C lower than pure AP. The hierarchical structure confers structural stability during the thermal decomposition process. Thermogravimetry‐infrared indicates that the inclusion of Co‐HSs successfully boosts the level of reactive oxygen species and achieves thorough oxidation of NH3. Based on the above phenomenon, macro dynamics calculations are carried out. The results show that Co‐HSs can promote the circulation of lattice oxygen and reactive oxygen species and the multidimensional diffusion of NH3 in an oxygen‐rich environment. This material has significant potential for application in the fields of thermal catalysis and ammonia oxidation.