Divergent growth‐differentiation balance strategies and resource competition shape mortality patterns in ponderosa pine by Scott Ferrenberg, Carla Vázquez‐González, Steven R. Lee, Milda Kristupaitis

“…Abstract Dynamic resource availability leads to trade‐offs among functions in plants. …”
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Education and innovation in the utilization of Beronok (Meranti Sea Cucumber) for sustainable development and community well-being in Meranti by Rahmad Hari Adi, Barlian Eri, Welis Wilda

“…With its high content of protein, minerals, and other health benefits, beronok holds significant potential as a functional food source that can support nutrition and foster sustainable livelihoods. …”
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Height and Light-Obtaining Ability of <i>Leymus chinensis</i> Increased After a Decade of Warming in the Typical Steppe of Inner Mongolia, China by Zhiqiang Wan, Rui Gu, Yan Liang, Xi Chun, Haijun Zhou, Weiqing Zhang

“…Open-top chambers (OTCs) were used to simulate warming (by 1.5 °C) and rainfall (twice a month, 10% of the average precipitation between 1960 and 2011 of the same month each time) during the growing season. In 2023, the resource utilization efficiency, morphological characteristics, leaf anatomical structure, and population quantity characteristics of the dominant species (<i>Leymus chinensis</i>), and community species diversity were monitored under control (CK), warming (T), precipitation addition (P), and warming plus precipitation addition (TP) conditions. …”
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Pseudomonas sp. as a Source of Medium Chain Length Polyhydroxyalkanoates for Controlled Drug Delivery: Perspective by Sujatha Kabilan, Mahalakshmi Ayyasamy, Sridhar Jayavel, Gunasekaran Paramasamy

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Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors by Vikas R. Bhat, Karunakar Kotegar, H. Anitha

“…In this current research, sources in a homogeneous volume conductor model is used in the construction of forward problem. …”
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Ambiguity Analysis and Resolution for Phase-Based 3D Source Localization under Given UCA by Zhen Liu, Xin Chen, Zhenhua Wei, Tianpeng Liu, Linlin Li, Bo Peng

“…In ATCM, the phase differences of centrosymmetric sensors under different ambiguities are utilized to match a cosine function with sensor number-varying, and the source’s unambiguous rough angles can be derived from amplitude and initial phase of the cosine function. …”
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Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

“…The accurate estimation of rainfall is always a topic of concern， given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system （BLS） to improve the accuracy of rainfall estimation.Yunnan Province， located in China's low-latitude plateau， was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular， the model utilizes five satellite-derived rainfall datasets （3B42V7， IMERG， GSMaP， CMORPH， PERSIANN） and the latitude and longitude information as the source data， and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation （LOYOCV） method was applied to verify the performance of the established assimilation model， where statistical indicators including Pearson’s correlation coefficient （CC）， root-mean square error （RMSE）， mean absolute error （MAE）， Nash efficiency coefficient （NSE） and Kling-Gupta efficiency （KGE） were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently， assimilation models based on support vector machine （SVM） and deep neural network （DNN） were established to highlight the accuracy and efficiency of the BLS， respectively.Additionally， the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale， the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover， it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product （the most accurate one among the five satellite-derived rainfall products） in both rainy and dry seasons （May to October and November to April of next year， respectively）.At the spatial scale， BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS， SVM， and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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Small, open-source text-embedding models as substitutes to OpenAI models for gene analysis by Dailin Gan, Jun Li

“…While foundation transformer-based models developed for gene expression data analysis can be costly to train and operate, a recent approach known as GenePT offers a low-cost and highly efficient alternative. GenePT utilizes OpenAI's text-embedding function to encode background information, which is in textual form, about genes. …”
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A Reactive Power Partitioning Method Considering Source–Load Correlation and Regional Coupling Degrees by Jiazheng Ding, Xiaoyang Xu, Fengqiang Deng

“…This study innovatively constructs a Copula function-based joint probability distribution model for source–load correlation. …”
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Research on fault location method for micro-grid based on multi-source information fusion alarm by YANG Zhichun, LI Muyuan, HAN Ji, YANG Fan, SHEN Yu, MIN Huaidong

“…Similarity computation is used to process and visualize the data, and convolutional neural network (CNN) is employed to identify the fault information, thereby achieving intelligent generation of alarm information. The switch function method is utilized to weight and fuse the multiple sources of alarm information, and an improved quantum-behaved particle swarm with binary encoding (IBQPSO) is applied to solve the fault model. …”
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On some conceptual sources of the wealth maximization theory by Richard Posner: Adam Smith and Jeremy Bentham by V. S. Dorokhin, A. V. Polyakov

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A New Method for Indoor Visible Light Imaging and Positioning Based on Single Light Source by Xinxin Cheng, Xizheng Ke, Huanhuan Qin

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Enhancing stochastic optimal power flow with modified cheetah optimizer for integrating renewable energy sources by Majid Saeidi, Taher Niknam, Mohsen Zare, Zulfiqar Ali Memon

“…Abstract In this paper, a modified cheetah optimizer (MCO) algorithm is presented, which has been designed to address the optimal power flow (OPF) problem in power grids that utilize renewable energy sources (RES). The issue of uncertainty in cost models for wind turbines (WTs) and photovoltaics (PVs), which can result in overestimation or underestimation of RES, is addressed by including the uncertain cost value in the direct cost of these renewable units to calculate their cost value accurately. …”
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

“…Field experiments confirmed the system’s ability to accurately map radiation fields and localize gamma sources. When combined with SLAM, the system achieved localization errors of 10 cm for single sources and 15 cm for dual sources. …”
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The Impact of Hyperbaric Oxygen Therapy on Functional and Structural Plasticity in Rats With Spinal Cord Injury by Xinyi Yang, Zhongyue Wu, Huimin Lai, Lingling Chen, Dairong Cao, Fang Liu

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Model-assisted analysis on the response of tomato fruit growth to source-sink ratio regulated by water and nitrogen by Huiping Zhou, Jinliang Chen, Shaozhong Kang

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Antioxidant Peptides Derived from Woody Oil Resources: Mechanisms of Redox Protection and Emerging Therapeutic Opportunities by Jia Tu, Jie Peng, Li Wen, Changzhu Li, Zhihong Xiao, Ying Wu, Zhou Xu, Yuxi Hu, Yan Zhong, Yongjun Miao, Jingjing Xiao, Sisi Liu

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Optimizing Hospital Bed Capacity and Resource Allocation Using Inflow and Outflow Indices for Effective Healthcare Management by Jin-Nam Kim PhD, In-Hwan Oh MD, PhD

“…This study offers valuable insights for regional health policy, aiming to enhance functional hospital bed management and improve overall healthcare resource utilization.…”
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A novel strategy to optimize resources to boost production in rice-fish coculture at Ziro Valley, India by Ayan Samaddar, Dani Kacha, Anilava Kaviraj, Sarah Freed, Arun Panemangalore Padiyar, Sambhu Das, Subrata Saha

“…This traditional method utilizes the region’s wet rice terraces, allowing for the simultaneous production of rice and fish, contributing to efficient land and water resource utilization. …”
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Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…Finally, we propose an innovative adaptive cost-weighting mechanism within the reward function to dynamically balance competing objectives, including energy consumption, latency, and bandwidth utilization. …”
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