A comparative analysis of LSTM, GRU, and Transformer models for construction cost prediction with multidimensional feature integration by Tang Shi, Kazuya Shide

“…Through comprehensive evaluation and comparison, the Transformer model demonstrated superior performance, particularly excelling in handling complex feature interactions and long-sequence data. …”
Get full text

The ever-evolving world of microbes: the current state of microbial taxonomy, genome evolutionary dynamics, and the potential impact on the future of agricultural microbials risk a... by Katherine A. Karberg

“…Risk assessment frameworks for plant agricultural biotechnology products have been in place for decades, focused on the evaluation of living biotechnology products created through genetic engineering. …”
Get full text

A simple validation and screening method for CRISPR/Cas9-mediated gene editing in mouse embryos to facilitate genetically modified mice production. by Dawid Winiarczyk, Hossein Khodadadi, Paweł Leszczyński, Hiroaki Taniguchi

“…We propose herein an evaluation method (cleavage assay - CA) for CRISPR/Cas9-mediated gene editing in preimplantation mouse embryos that allows us to detect mutants efficiently and later on initiate in vivo production without the extensive number of samples needing to be sent for Sanger sequencing and animal usage. …”
Get full text

Physics-Informed Deep Neural Network for Low Sidelobe Time-Modulated Antenna Array Synthesis With Harmonic Suppression by Tarek Sallam, Qun Wang, Ahmed M. Attiya

“…Numerical results indicate that the PIDNN surpasses the GA in both computational efficiency and loss function evaluation.…”
Get full text

An Adaptive Transformer Model for Long-Term Time-Series Forecasting of Temperature and Radiation in Photovoltaic Energy Generation by Asmaa Mohamed El-Saieed

“…Evaluation using real-world weather datasets reveals that the proposed model significantly surpasses conventional forecasting methods in mean squared error and mean absolute error metrics. …”
Get full text

Multiparametric MRI-based radiomics for preoperative prediction of parametrial invasion in early-stage cervical cancer by Chongshuang Yang, Man Li, Xin Yi, Lin Wang, Guangxian Kuang, Chunfang Zhang, Benyong Yao, Zhihong Qin, Tianliang Shi, Qiang Jiang

“…Radiomics models based on single-sequence, dual-sequence, and multi-sequence combinations were then constructed. …”
Get full text

Development and validation of a preoperative magnetic resonance imaging-based and machine learning model for the noninvasive differentiation of intracranial glioblastoma, primary c... by Yuxiang Sun, Yuxiang Sun, Junpeng Xu, Dongsheng Kong, Yu Zhang, Qijia Wu, Liqin Wei, Zihao Zhu, Chunhui Li, Shiyu Feng

“…The P values <0.05 were considered statistically significant. Performance was evaluated using AUC, sensitivity, specificity, and accuracy metrics.ResultThe SVM model exhibited superior diagnostic performance with macro-average AUC values of 0.91 for CE-T1 alone, 0.86 for T2 alone, and 0.93 for combined CE-T1 and T2 sequences. …”
Get full text

Genomic analysis and lysogenic conversion of novel RAP44-like phages in Riemerella anatipestifer by Junxuan Zhang, Xiaolu He, Jinzhen Hao, Yefan Wang, Jinyang Su, Xiaoxin Chen, Liying Deng, Yizhang Zheng, Zixing Guo, Mianzhi Wang, Yongxue Sun

Get full text

Increased prevalence of parvovirus B19 infection among pregnant women in central Italy and genomic analysisAJOG Global Reports at a Glance by Alessandra Amendola, PhD, Cesare Ernesto Maria Gruber, PhD, Giuseppina Liuzzi, MD, Martina Rueca, Sara Belladonna, Antonella Giancotti, MD, Enrico Girardi, MD, Fabrizio Maggi, MD

“…OBJECTIVE: This study aimed to evaluate the positivity rate of parvovirus B19 infections among Italian pregnant women attending the maternal-fetal infection prevention outpatient care facility at the National Institute for Infectious Diseases Lazzaro Spallanzani of Rome for routine evaluation of maternal-fetal infections. …”
Get full text

Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies. by Evan Sidrow, Nancy Heckman, Tess M McRae, Beth L Volpov, Andrew W Trites, Sarah M E Fortune, Marie Auger-Méthé

“…Ecologists often use a hidden Markov model to decode a latent process, such as a sequence of an animal's behaviours, from an observed biologging time series. …”
Get full text

Educational Impact of a Didactic Instrument That Complements the TADIR for Concepts of Statics in Engineering Students in Mexico by Federico Alonso Morales-García, Mario Humberto Ramírez-Díaz

“…Therefore, the present study aimed to evaluate the educational impact achieved with the implementation of an educational instrument designed according to the sequence established in the TADIR protocol, and complemented with thoughtful activities to organize knowledge to prepare a presentation to the group. …”
Get full text

A study on phonemes recognition method for Mandarin pronunciation based on improved Zipformer-RNN-T(Pruned) modeling. by Zhaohui Du, Xiaofeng Zhao, Lin Li, Baohua Yu, Lijiang Miao

“…Currently, the mainstream pronunciation assessment models rely on advanced speech recognition technology, converting speech into phoneme sequences, and then determining mispronounced phonemes through sequence comparison. …”
Get full text

Compiler Optimization of Wide Memory Access for Aarch64 by Viacheslav Chernonog, Emin Gadzhiev, Andrey Dobrov

“…Compilers use these instructions in architecture-dependent peephole optimizations to replace sequence of load/store instructions. In this paper, the pros and cons of such optimization are considered, some cases are taken into account and analyzed by simulation to identify a potential performance improvement opportunity. …”
Get full text

Plasmodium falciparum serology: A comparison of two protein production methods for analysis of antibody responses by protein microarray. by Tate Oulton, Joshua Obiero, Isabel Rodriguez, Isaac Ssewanyana, Rebecca A Dabbs, Christine M Bachman, Bryan Greenhouse, Chris Drakeley, Phil L Felgner, Will Stone, Kevin K A Tetteh

“…The evaluation of protein antigens as putative serologic biomarkers of infection has increasingly shifted to high-throughput, multiplex approaches such as the protein microarray. …”
Get full text

A Concise Review on the Utilization of Abbreviated Protocol Breast MRI over Full Diagnostic Protocol in Breast Cancer Detection by Haytham Al Ewaidat, Mohammad Ayasrah

“…Earlier detection of this short sequence protocol leads to prior and early breast cancer disease in high risky female populations like women with dense breasts, prehistoric evidence, etc. …”
Get full text

A Machine Learning Algorithm for Supplier Credit Risk Assessment Based on Supply Chain Management by Yuqian Wei

“…In today’s complex and ever-changing world, a distribution network in lending impact analysis is an evaluation of a client’s procedures, rules, and financial well-being to evaluate as considerable risk and it provides to the contracting company. …”
Get full text

Collaborative Control Optimization on Reversible Lanes in Intersection Group under Intelligent Vehicle Infrastructure Cooperative System by Guiliang Zhou, Lina Mao, Yuke Dai, Yao Liu, Xu Bao, Pengsen Hu

“…Based on the Intelligent Vehicle Infrastructure Cooperative System (IVICS), the paper firstly analyzes the operating characteristics of the intersection group under real-time reversible lanes from the capacity; secondly, the signal phase sequence and signal timing parameters of the intersection are designed, and the green wave control is designed based on the phase difference model. …”
Get full text

Prediction of stress-strain behavior of rock materials under biaxial compression using a deep learning approach. by Changsheng Li, Xinsong Zhang

“…The LSTM-AE approach uses the LSTM network to construct both the encoder and decoder, where the encoder extracts features from the input data and the decoder generates the target sequence for prediction. The mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R2) of the predicted and true values are used as the evaluation metrics. …”
Get full text

A novel deep learning approach to identify embryo morphokinetics in multiple time lapse systems by Guillaume Canat, Antonin Duval, Nina Gidel-Dissler, Alexandra Boussommier-Calleja

“…Second, embeddings were extracted from the backbone and passed into a Gated Recurrent Unit (GRU) sequence model to account for kinetic dependencies. …”
Get full text

The association of codon 392 polymorphism in ESR2 gene with breast cancer in Iran by Sakineh Abbasi, Samira Kalbasi

“…ESR2 gene structure determination, in presurgical evaluation, might be a useful marker in predicting familial breast cancer and metastasis in LN. …”
Get full text