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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Service function tree mapping of microservices on resource-constrained fog networks by Babar Shahzaad, Alistair Barros, Colin Fidge

“…Simulations validate the effectiveness of our approach, demonstrating significant improvements in latency and resource utilization, advancing research on efficient IIoT deployment.…”
Get full text

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. …”
Get full text

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.…”
Get full text

Pseudomonas sp. as a Source of Medium Chain Length Polyhydroxyalkanoates for Controlled Drug Delivery: Perspective by Sujatha Kabilan, Mahalakshmi Ayyasamy, Sridhar Jayavel, Gunasekaran Paramasamy

Get full text

On some conceptual sources of the wealth maximization theory by Richard Posner: Adam Smith and Jeremy Bentham by V. S. Dorokhin, A. V. Polyakov

Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

Intensive utilization of cultivated land resource in the economic developed regions - a case study of Zhejiang Province by XU Hong-dai, MAO Xiao-bao

“…Under the precondition of strictly protecting cultivated land, constructing the systems of intensive utilization of cultivated land was put forward: optimization of scheme of cultivated land resource for producing important agricultural products such as foodstuff and oils, vegetable, livestock and poultry; establishing some area of agricultural function zone; enhancing the level of agricultural technique equipment and innovating farming system; advancing the intensive level of cultivated land. …”
Get full text

Narrow-spectrum resource-utilizing bacteria drive the stability of synthetic communities through enhancing metabolic interactions by Wei Wang, Yanwei Xia, Panpan Zhang, Mengqing Zhu, Shiyi Huang, Xinli Sun, Zhihui Xu, Nan Zhang, Weibing Xun, Qirong Shen, Youzhi Miao, Ruifu Zhang

“…Abstract The importance of synthetic microbial communities in agriculture is increasingly recognized, yet methods for constructing targeted communities using existing microbial resources remain limited. Here, six plant-beneficial bacterial strains with distinct functions and rhizosphere resource utilization profiles are selected to construct stable, multifunctional communities for plant growth promotion. …”
Get full text

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

Get full text

Measurement and optimization of sustainable urban form elements in New Urban districts using multi-source data by Yanfeng Zhang, Xiaohui Wang, Longsheng Wang, Guangyu Li, Yige Zhang, Yu Ye, Hongqiang Jiang, Shaoyun Zhong, Junxi Song

Get full text

Estimation of Above-Ground Biomass for <italic>Dendrocalamus Giganteus</italic> Utilizing Spaceborne LiDAR GEDI Data by Huanfen Yang, Zhen Qin, Qingtai Shu, Li Xu, Jinge Yu, Shaolong Luo, Zaikun Wu, Cuifen Xia, Zhengdao Yang

Get full text

Methodological characterization of X-ray absorption Spectroscopy in small molecule conversion processes utilizing energy catalytic nanomaterials by Rui Ren, Sitan Li, Yulan Gu, Guifen Li, Dongdong Xue, Nuo Liu, Yali Zhang, Li An, Jiangwei Zhang

“…Prioritizing the advancement and sustainability of renewable energy sources is imperative to bolster global efforts promoting the displacement of fossil fuels and attaining carbon neutrality. …”
Get full text

Elastic Wave Phase Inversion in the Local-Scale Frequency–Wavenumber Domain with Marine Towed Simultaneous Sources by Shaobo Qu, Yong Hu, Xingguo Huang, Jingwei Fang, Zhihai Jiang

“…In our approach, we first employ a two-dimensional sliding window function to obtain local-scale seismic data. Following this, we utilize two-dimensional Fourier transforms to generate the local-scale frequency–wavenumber domain seismic data, constructing a corresponding elastic wave phase misfit. …”
Get full text

Strategies for efficient utilization of heavy rare-earth Tb in high-performance Ce magnets with high Ce content by Xiaolong Song, Qisong Sun, Minggang Zhu, Dongmin Zhang, Yifei Xiao, Yikun Fang, Qiang Wang, Wei Li

Get full text

Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

“…Initially, we develop MalCode2Vec to learn associations between source codes and represent them as numeric vectors. …”
Get full text