PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data by Jia Xu, Michael Vaeggemose, Rolf F. Schulte, Baolian Yang, Chu-Yu Lee, Christoffer Laustsen, Vincent A. Magnotta

“…<b>Results</b>: PyAMARES utilizes spreadsheet-based prior knowledge and fitting parameter settings, enhancing flexibility and ease of use. …”
Get full text

A review of non-exhaust emissions on pavement area: Sources, compositions, evaluation and mitigation by Chuan He, Wei Jiang, Qingyi Xiao, Chengwei Xing, Dongdong Yuan, Rong Lu, Wangjie Wu

“…The effective approaches to managing non-exhaust emissions include water cleaning, utilizing functional pavement materials, and applying chemical reagents to alleviate emission capacity. …”
Get full text

On Fitting Renewable Energy Sources Data: Using a New Trigonometric Statistical Model by Mahmoud M Elsehetry, Ahmed W Shawki, Mohamed G Khalil, Tamer S Helal

“…Additionally, the adaptability of the provided model was examined using a dataset of renewable energy sources, demonstrating that, in comparison to some other competing models that contain two, three and four parameters, the suggested model could potentially utilize to fit these data. …”
Get full text

Organic substitution regulated the soil microbial communities by modifying nutrient limitations in saline-alkaline soils by Yue Han, Zhanli Ma, Rui Chen, Yue Wen, Yonghui Liang, Jinzhu Zhang, Wenhao Li, Zhenhua Wang

“…These findings advance our mechanistic understanding of soil amelioration processes and offer practical guidance for developing resource-efficient and environmentally sustainable fertilization strategies to improve soil quality and microbial functioning in saline-alkaline agroecosystems.…”
Get full text

Characterization of two novel species of the genus Flagellimonas reveals the key role of vertical inheritance in the evolution of alginate utilization loci by Juan Yu, Jia-Wei Gao, Ke Cao, Dong-Yan He, Lin Xu, Ge-Yi Fu, Cong Sun

Get full text

The molecular mechanism and utilization of ZmMs7-mediated dominant nuclear sterility in Oryza sativa L by Yusheng Xu, Yusheng Xu, Dingyang Yuan, Meijuan Duan

“…This article aims to utilize dominant nuclear male sterile lines, which were created through the ectopic expression of ZmMs7 in the genetic background of rice, for the purpose of heterosis utilization.MethodsAt the same time, we conducted a study on the spatiotemporal expression characteristics of ZmMs7, performed transcriptome analysis, and implemented yeast two-hybrid experiments to elucidate its molecular regulatory mechanisms in mediating dominant nuclear male sterility in rice.ResultsThe results confirm the successful construction of a dominant nuclear male-sterile (NMS) vector system (p5126-ZmMs7-DsRed) using the exogenous male-sterile gene ZmMs7. …”
Get full text

Exploring the impact of AI on employee self-competence performance key variables and outcomes by Anas Amayreh, Mohammad A. Ta’Amnha, Ihab K. Magableh, Maher H. Mahrouq, Salsabila Aisyah Alfaiza

“…Abstract In the dynamic business world, organizations must upgrade their functioning and develop human resources skills to achieve optimal performance. …”
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

Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

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

Cost-utility analysis of olaparib assisted targeted therapy for BRCA mutation HER2-negative early breast cancer in China and in the United States by Chenxia Xu, Jie Zhuang, Jianrong Shen, Hong Sun, Jiaqin Cai, Xiaoxia Wei

Get full text

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

“…These electrical impulses give rise to electric potentials on the body surface and tiny magnetic field around the thorax. These functional activities can be investigated using Electro/Magnetocardiogram (E/MCG). …”
Get full text

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

Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

Get full text

The third dimension of alpine plant leaf traits is related to cold-tolerance by Yuan Wang, Ji Suonan, Kun Liu, Yanni Gao, Sihao Zhu, Qian Liu, Ning Zhao

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

Utilization of Date palm (Phoenix dactylifera L.) wastes for bioethanol production using Pichia kudriavzevii strains by Folake T. Afolabi, Ibukun E. Ola

“…Moreover, the Pichia kudriavzevii strains could be recommended for bioethanol production at 30 % inoculum size, on using sucrose as a carbon source and yeast extract as a nitrogen source. On using the Fourier-Transform Infrared (FTI) spectroscopy, the detected functional group of the produced bioethanol was O-H group. …”
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

Ancestral [Fe-S] biogenesis system SMS has a unique mechanism of cluster assembly and sulfur utilization. by Macha Dussouchaud, Markel Martinez-Carranza, Pierre-Simon Garcia, Martin Clémancey, Geneviève Blondin, Jean Michel Betton, Ahmed Haouz, Simonetta Gribaldo, Sandrine Ollagnier de Choudens, Ludovic Sauguet, Ariel Mechaly, Frédéric Barras

Get full text