Harnessing biostimulants for sustainable agriculture: innovations, challenges, and future prospects by Amine Khoulati, Sabir Ouahhoud, Mohamed Taibi, Said Ezrari, Samira Mamri, Othmane Merah, Abdelkader Hakkou, Mohamed Addi, Adil Maleb, Ennouamane Saalaoui

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Causal relationships of vegetation productivity with root zone water availability and atmospheric dryness at the catchment scale by G. W. Abeshu, H.-Y. Li, M. Shi, L. R. Leung

“…The results revealed a maximum lag of 2 months in the intra-annual variability of catchment water supply–productivity and atmospheric water demand–productivity relationships, with hysteresis patterns varying with the catchment's hydrological characteristics. …”
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Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…The use of texture descriptors provides more salient discriminative patterns than the functional information used. Furthermore, the system improves selection of information, efficiency and robustness of the classification. …”
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Work Systems Analysis of Emergency Nurse Patient Flow Management Using the Systems Engineering Initiative for Patient Safety Model: Applying Findings From a Grounded Theory Study by Ellen Benjamin, Karen K Giuliano

“…Other noteworthy findings include obscurity and variability across departments’ staff roles titles, functions, and norms; the degree of provider involvement in patient flow management decisions; and management’s enforcement of timing metrics. …”
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fNIRS neurofeedback facilitates emotion regulation: Exploring individual differences over the ventrolateral prefrontal cortex by Yiwei Li, Sijin Li, Hua Li, Yuyao Tang, Dandan Zhang

“…Participants in the experimental group underwent VLPFCNF training over eight sessions across two consecutive days, while those in the sham group received random signals from functional near-infrared spectroscopy (fNIRS). To investigate individual variability, participants in the experimental group were further categorized as high or low-efficacy groups based on their training efficiency, determined by the regression slope of VLPFC activity over the sessions. …”
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Energy management of microgrid coalitions considering renewable energy prediction based on machine learning algorithms by Negar Dehghani Mahmoudabadi, Mehran Khalaj, Davood Jafari, Ali Taghizadeh Herat, Parisa Mousavi Ahranjani

“…Due to the inherent variability of renewable resources, an extreme learning machine (ELM) model is applied in order to forecast solar irradiation and wind power. …”
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The effect of water soluble pentosanes on baking properties of winter rye by E. N. Shabolkina, A. A. Bisharev, N. V. Anisimkina, M. V. Belyaeva

“…Estimation of the variation coefficients showed that non-starch polysaccharides influence by genotypic and environmental factors are characterized by low variability CVf = 8.2%. …”
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Eco-engineered remediation: Microbial and rhizosphere-based strategies for heavy metal detoxification by Arun Karnwal, Gaurav Kumar, Alaa El Din Mahmoud, Joydeep Dutta, Rattandeep Singh, Abdel Rahman Mohammad Said Al-Tawaha, Tabarak Malik

“…Moreover, a detailed understanding of plant–microbe interactions and the role of secondary metabolite signalling in the rhizosphere is essential to improve remediation efficiency. Future strategies should prioritize the application of functional genomics, developing bioinoculants tailored to specific environmental conditions, and implementing robust ecological risk assessments for GEMs. …”
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Optimal Design of Interior Permanent Magnet Synchronous Motor Considering Various Sources of Uncertainty by Giacomo Guidotti, Dario Barri, Federico Soresini, Massimiliano Gobbi

“…The method incorporates an innovative use of the neural network-based variance estimation (NNVE) technique to efficiently calculate the standard deviation of the objective functions. …”
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Statistical and reliability analysis of communication disability severity in Saudi Arabia using novel probability distribution by Laila A. AL-Essa, Mohammed M. Ali Al-Shamiri, Mohammed M. A. Almazah, Fathi M. Hamdoon

“…The dataset, sourced from Disability Statistics 2023, exhibits significant variability, requiring a flexible probabilistic framework. …”
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A Comparative Study of Deep Reinforcement Learning Algorithms for Urban Autonomous Driving: Addressing the Geographic and Regulatory Challenges in CARLA by Yechan Park, Woomin Jun, Sungjin Lee

“…To evaluate the adaptability of each algorithm to geographical variability and complex traffic laws, scenario-specific reward and penalty functions were carefully designed and incorporated. …”
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Advancing geohazard risk assessment – A digital tool for steep slope management by Cherry Rose Godes, One-Bin Lim, Shanelle Aira Rodrigazo, Yongseong Kim, Yongjin Kim, Seungjoo Lee, Jaeheum Yeon

“…Growing climatic variability and rapid urbanization have increased landslide occurrences, posing significant challenges for risk assessment. …”
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La biodiversidad y los servicios ecosistémicos en sistemas agroecológicos. Una revisión by Wendy Mercedes Ramírez-Suárez, Jorge Carlos López-Chouza, María de los Ángeles Flores-Acosta, Saray Sánchez-Cárdenas, Pedro Lázaro Rodríguez-Morejón

“…There is a strong interrelationship between the functioning of biodiversity and the development of ecosystem processes that will subsequently form the basis of production, based on the richness and spatial and temporal variability of species, their performance in the complexity of ecosystems and the maintenance of ecosystem services at different scales.…”
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A systematic literature review on the role of artificial intelligence in citizen science by Germain Abdul-Rahman, Andrej Zwitter, Noman Haleem

“…However, challenges such as data quality variability, algorithmic opacity, and scalability constraints persist. …”
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SALM: A Unified Model for 2D and 3D Region of Interest Segmentation in Lung CT Scans Using Vision Transformers by Hadrien T. Gayap, Moulay A. Akhloufi

“…Accurate segmentation of Regions of Interest (ROI) in lung Computed Tomography (CT) is crucial for early lung cancer diagnosis and treatment planning. However, the variability in size, shape, and location of lung lesions, along with the complexity of 3D spatial relationships, poses significant challenges. …”
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Phenotypic yield-attributed traits and phytochemical composition of the flowers from Alcea species in Iran by Yasaman Mashhadi Tafreshi, Ghasem Eghlima, Samad Nejad Ebrahimi

“…In this study, agro-morphological, phytochemical and proximate composition variability among six Iranian species of the plant was studied to find adequate samples for further use in breeding and exploitation programs. …”
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Handgrip Strength has Declined Among Adults, Particularly Males, from Shanghai Since 2000 by Dao Wang, Yang Liu, Justin J. Lang, Marilyn G. Klug, Ryan McGrath, Grant R. Tomkinson

“…Overall, distributional variability declined negligibly (ratio of CVs [95% CI]: 0.92 [0.91, 0.93]). …”
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Life Cycle Assessment of Key Mediterranean Agricultural Products at the Farm Level Using GHG Measurements by Georgios Bartzas, Maria Doula, Konstantinos Komnitsas

“…The uncertainty analysis indicates that among the LCI-based scenarios evaluated, the IS scenario exhibits the lowest variability, with coefficient of variation (CV) values ranging from 0.5% to 7.3%. …”
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Monthly Monitoring of Inundated Areas and Water Storage Dynamics in China's Large Reservoirs Using Multisource Remote Sensing by Yongzhe Chen, Yiming Wang, Luoqi Li, Yanhong Cui, Xingwu Duan, Di Long

“…Abstract High‐frequency monitoring of reservoir inundation and water storage changes is crucial for reservoir functionality assessment and hydrological model calibration. …”
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Agonist-Antagonist Coactivation Enhances Corticomotor Excitability of Ankle Muscles by Trisha M. Kesar, Andrew Tan, Steven Eicholtz, Kayilan Baker, Jiang Xu, Joanna T. Anderson, Steven L. Wolf, Michael R. Borich

“…Three pairwise comparisons were made for MEP amplitude and coefficient of variability (CV): rest versus coactivation, rest versus antagonist activation, and agonist activation versus coactivation. …”
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