THE CRITERIA FOR LYMPH NODE METASTATIC DISEASE IN UTERINE CERVIX CANCER PATIENTS BASED ON MRI FINDINGS by E. G. Zhuk, I. A. Kosenko

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Differentiating placenta accreta spectrum from scar dehiscence with underlying, non‐adherent placenta: A systematic review of scoring systems and primary data analysis by Theophilus K. Adu‐Bredu, Rozi Aditya Aryananda, Joseph Arkorful, Sam Matthewlynn, Sally L. Collins

“…Hence, relying solely on these scoring systems may lead to errors in estimating the risk or extent of the condition which hinders preoperative planning.…”
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Performance validation and calibration conditions for novel dynamic baseline tracking air sensors in long-term field monitoring by H. Mei, P. Wei, M. A. Ghadikolaei, N. K. Gali, Y. Wang, Z. Ning

“…We determined that a 5–7 d calibration period minimizes calibration coefficient errors, and a wider concentration range improves the validation <span class="inline-formula"><i>R</i>²</span> values for all sensors, suggesting the necessity of setting specific concentration range thresholds. …”
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Intraoperative computed tomography-guided robotic needle biopsy system with real-time imaging ability and remote-center-of-motion control by Zheng-Yang Lai, Chun-Ting Kuo, Shun-Mao Yang, Ming-Chih Ho, Yung-Yaw Chen, Tsu-Chin Tsao, Jia-Yush Yen

“…Experimental validation demonstrated the system's high performance, achieving exceptionally low RCM errors as 2×10 −4 m. Consequently, any deliberate pause during the robotic arm's movement could be utilized to define a precisely targeted and safe puncture path. …”
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Axial Performances of CFRP-PVC Confined RAC Columns: Experimental and Numerical Study by Zidong Hu, Ruoyu Cao, Qiaoyun Wu, Cheng Zhao, Jie Li, Xuyong Chen

“…Finally, a multilayer lateral confined pressure formula is derived and validated against thirty-two specimens, exhibiting errors no greater than three percent and accurately predicting effective confinement. …”
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Differential gender bias in self-predicted performance in medical tests by Adrian Soto-Mota, Andrés Castañeda Prado, María Fernanda González Lara, Laura Jael Ortiz, Pablo Soto-Mota

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Detection of Invasive Species (Siam Weed) Using Drone-Based Imaging and YOLO Deep Learning Model by Deepak Gautam, Zulfadli Mawardi, Louis Elliott, David Loewensteiner, Timothy Whiteside, Simon Brooks

“…False positives often originated from foliage and bark under high solar illumination, and low exposure images reduced these errors considerably. The study demonstrates the feasibility of using YOLO models to detect invasive species in natural landscapes, providing a safe alternative to the current method involving human spotters in helicopters. …”
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Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

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Seguimento do perfil do solo no corte e/ou levantamento de produtos agrícolas rasteiros Contouring the soil surface during cutting and/or lifting of agricultural products by Oscar A. Braunbeck, Paulo S. G. Magalhães

“…Research results of passive mechanisms having low and high mass are discussed together with an active control system for a combine header.…”
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Seismic Mitigation Performance and Damage of Prefabricated Base Isolation Structure Based on the Shaking Table Test by WU Zhongtie, FAN pingping, LIU Yanhui, LI Wanrun

“…ObjectiveImproving the seismic performance of prefabricated reinforced concrete frame structure system has always been a research focus. At present, strengthening the design of beam-column assembly joints and adopting seismic isolation techniques are two different ways to achieve this goal. …”
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Application of Artificial Intelligence Techniques for the Control of the Asynchronous Machine by F. Khammar, N. E. Debbache

“…While the criteria for response time, overtaking, and static error can be assured by the techniques of conventional control, the criterion of robustness remains a challenge for researchers. …”
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Estimation and Forecasting of Nigeria&#x2019;s Residential, Commercial, and Industrial Electricity Demands by Prosper O. Ugbehe, Ogheneruona E. Diemuodeke, Daniel O. Aikhuele, Kenneth E. Okedu, Gauri Kalnoor

“…Energy demand forecasting has emerged as a crucial area of research, driven by the need for accurate predictions of future electricity consumption. …”
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Differences in abundance of Thaumatotibia leucotreta and its natural enemies between organic and conventionally farmed citrus ecosystems by Luke Cousins, Mellissa Peyper, Tamryn Marsberg, Sean Moore, Martin Hill

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Testing the Validity of the Montgomery–Koyama–Smith Equation for Calculating the Total Petal Area per Flower Using Two Rosaceae Species by Chuanlong Zhao, Jinfeng Wang, Youying Mu, Weihao Yao, Hui Wang, Peijian Shi

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BER Performance for Downlink NOMA by Tabarek Hussein, Ismael Sharhan Haburi

“…As a result, academic and industry researchers have recently looked into the error performance and capacity of NOMA schemes. …”
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Approximate Time-Fractional Differential Equations by Saber Tavan, Mohammad Jahangiri Rad, Ali Salimi Shamloo, Yaghoub Mahmoudi

“…The convergence analysis and the error estimate of the proposed method are also provided. …”
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Parameter Investigations of Waveguide-Integrated Lithium Niobate Photonic Crystal Microcavity by Sohail Muhammad, Dingwei Chen, Chengwei Xian, Jun Zhou, Zhongke Lei, Pengju Kuang, Liang Ma, Guangjun Wen, Boyu Fan, Yongjun Huang

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Proficiency tests for soil analysis services via proximal sensing by Tiago R. Tavares, José A.M. Demattê, Abdul M. Mouazen, Eyal Ben-Dor, Adriano A. Anselmi, Victor Monseff de A. Campos, Budiman Minasny, Sérgio H. Godinho Silva, Sabine Chabrillat, Konstantinos Karyotis, Heitor Cantarella, Cristiano A. Andrade, Maurício R. Cherubin, Hudson W.P. de Carvalho, José Lavres

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Process-driven strength enhancement and progressive damage analysis of three-dimensional woven composites traction rods by Hao Huang, Zhongde Shan, Yanming Xing, Zitong Guo, Chunguang Yang, Jianhua Liu, Zheng Sun, Xiaohui Ao, Dong Wang, Chenchen Tan, Weihao Wang, Juncheng Luo

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Neural network decoding of the block Markov superposition transmission by Qianfan WANG, Sheng BI, Zengzhe CHEN, Li CHEN, Xiao MA

“…A neural network (NN)-based decoding algorithm of block Markov superposition transmission (BMST) was researched.The decoders of the basic code with different network structures and representations of training data were implemented using NN.Integrating the NN-based decoder of the basic code in an iterative manner,a sliding window decoding algorithm was presented.To analyze the bit error rate (BER) performance,the genie-aided (GA) lower bounds were presented.The NN-based decoding algorithm of the BMST provides a possible way to apply NN to decode long codes.That means the part of the conventional decoder could be replaced by the NN.Numerical results show that the NN-based decoder of basic code can achieve the BER performance of the maximum likelihood (ML) decoder.For the BMST codes,BER performance of the NN-based decoding algorithm matches well with the GA lower bound and exhibits an extra coding gain.…”
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