Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…Integrated with an FFT-OFDM transmission system, it clearly outperforms the DCT-OFDM variant in terms of noise robustness and bit error rate reduction, paving the way for secure, high-performance communications.…”
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UAV-Aided Transceiver Design for Secure Downlink OW-DFTs-OFDM System: A Multi-User mmWave Application by Joarder Jafor Sadique, Saifur Rahman Sabuj, Shaikh Enayet Ullah, Sujoy Kumar Joarder, Masanori Hamamura

“…Moreover, to improve bit error rate (BER), a combined MUI signal discrimination and ZF signal detection scheme is introduced, strengthened by various channel coding techniques with multi-user beamforming weighting. …”
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Assessment of operational non-time-critical Sentinel-6A Michael Freilich radio occultation data: insights into tropospheric GNSS signal cut-off strategies and processor improvement... by S. Paolella, A. Von Engeln, S. Padovan, R. Notarpietro, C. Marquardt, F. Sancho, V. Rivas Boscan, N. Morew, F. Martin Alemany

“…</p> <p>The validation of the EUMETSAT processed Sentinel-6A RO-NTC data against the European Centre for Medium-Range Weather Forecasts (ECMWF) short-range forecasts and comparisons with Metop-B/C and EUMETSAT-processed SPIRE occultations, highlights the reduction in random error and modifications in the tropospheric bias structure, a result of the enhancements in data processing techniques. …”
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GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

“…Additionally, two self-supervised tasks are designed for improved model accuracy and robustness. (3) Results: The fine-tuned model had comparatively optimal performance metrics with significant reductions in Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Error (RMSE). (4) Conclusions: Ultimately, the integration of this model into travel time prediction, based on two large-scale real-world trajectory datasets, demonstrates enhanced performance and computational efficiency.…”
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Reducing Greenhouse Gas Emissions and Modifying Nitrous Oxide Delivery at Stanford: Observational, Pilot Intervention Study by Eric P Kraybill, David Chen, Saadat Khan, Praveen Kalra

“…Building on previous findings, Stanford Health Care’s (SHC’s) N2O emissions were analyzed at 2 campuses and targeted for waste reduction as a precursor to system-wide reductions. …”
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Improving seasonal precipitation forecasts in the Western United States through statistical downscaling by B Vernon, W Zhang, Y Chikamoto

“…The greatest error reductions in the downscaled product, measured by root mean squared error (RMSE), were observed at low to mid-elevations (500–2000 meters), with 50%–70% improvement relative to the original forecasts. …”
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Improving Trajectory Tracking of Differential Wheeled Mobile Robots With Enhanced GWO-Optimized Back-Stepping and FOPID Controllers by Li Qiang, Hooi Hung Tang, Nur Syazreen Ahmad

“…This hybrid approach optimizes controller parameters using a multi-metric cost function that incorporates Integral Absolute Error (IAE) and Integral Squared Error (ISE) to minimize steady-state error and enhance responsiveness to larger deviations. …”
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Assessment of an intervention to optimise antenatal management of women admitted with preterm labour and intact membranes using amniocentesis-based predictive risk models: study pr... by Maria Goya, Carmen Garrido, Anna Peguero, Francesc Figueras, Eduard Gratacos, Cristina Paules, Eva Meler, Teresa Cobo, Victoria Aldecoa, Jose Luis Bartha, Fernando Bugatto, María Paz Carrillo-Badillo, Carmina Comas, Vicente Diago-Almeda, Silvia Ferrero, Ignacio Herraiz, Laia Martí-Malgosa, Anna Olivella, Àngels Vives, Montse Palacio, David Boada, Sara Ruiz-Martínez, Alberto Galindo, Laura Forcén, Patricia M Brañas, Itziar Garcia, Mirea Vargas, Alicia Martínez-Varea, Laia PratCorona, Marcos Cuerva, Tamara Illescas, Miguel Angel López-Guerrero, MºCarmen Facio, Carmen Medina, Cecilia Vilalain González

“…A cost analysis will be undertaken. To observe a reduction from 90% to 70% in corticosteroid doses, a reduction in 1 day of hospital stay (SD of 2) and a reduction from 24% to 12% of clinical chorioamnionitis, a total of 340 eligible patients randomised 1 to 1 to each study arm is required (power of 80%, with type I error α=0.05 and two-sided test, considering a dropout rate of 20%). …”
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Development and validation of scales measuring self-efficacy and behavioral capability in managing common medical emergencies in dental clinics by Yasmine N. Alawaji, Hussam M. Alqahtani, Abdulmohsen Alfadley, Aram Alshehri, Ali Aboalela, Sahr H. Altuwaijri, Farraj Albalawi, Sara A. Kalagi, Abdulrhman Alghamdi, Abdullah Alshibani, Meshal Alharbi, Meshary Binhotan, Nesrin A. Alharthy

“…The mean reduction of self-efficacy in females was 12.5 points (95% CI: -3.4, -21.5) compared to males. …”
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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

“…The quantitative performance results indicate that, (1) under a detailed prior information condition, PIM achieves enhanced dimensional parameter estimation accuracy with 6.9% reduction in maximum relative error; (2) in a moderate prior information condition, both models demonstrate comparable estimation performance; and (3) for a limited prior information condition, ODM exhibits superior parameter estimation capability showing 3.4% decrease in maximum relative error. …”
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A phase I/II trial evaluating the safety of increased-dose S- 1 with oxaliplatin and nivolumab in HER2-negative advanced gastric cancer by Keisuke Baba, Nobumi Suzuki, Chiyo K. Imamura, Eisuke Booka, Masashi Takeuchi, Daisuke Takahari, Takeshi Kawakami, Hirofumi Kawakubo, Chiyoe Kitagawa, Yoshiyasu Kono, Keiji Ogura, Yosuke Kito, Kei Saito, Shinzo Yamamoto, Hiroya Takeuchi, Toshihiro Kudo, Takuya Tsunoda, Takuro Mizukami, Toshifumi Yamaguchi, Hirokazu Shoji, Kanako Saito, Kenro Tanoue, Eishi Baba, Kengo Nagashima, Narikazu Boku

“…The primary endpoint is the incidence of dose-limiting toxicity in six patients in the phase I part and the proportion of patients requiring S-1 dose reduction in a total of 20 patients, expecting 30% and rejecting 50% with an alpha error of 0.1 and beta error of 0.2. …”
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Root-Zone Salinity in Irrigated Arid Farmland: Revealing Driving Mechanisms of Dynamic Changes in China’s Manas River Basin over 20 Years by Guang Yang, Xuejin Qiao, Qiang Zuo, Jianchu Shi, Xun Wu, Alon Ben-Gal

“…The approach demonstrated high predictive accuracy (<i>R</i>² = 0.96 ± 0.01, root mean squared error <i>RMSE</i> = 0.19 ± 0.03 g kg⁻¹, maximum absolute error <i>MAE</i> = 0.14 ± 0.02 g kg⁻¹) in evaluating <i>SSC</i> drivers. …”
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Impact of microbiological molecular methodologies on adaptive sampling using nanopore sequencing in metagenomic studies by Josephine Herbert, Stanley Thompson, Angela H. Beckett, Samuel C. Robson

“…We next compared the quality and accuracy of metagenomic analyses for two nanopore-based ligation chemistry kits with differing levels of base-calling error; the older and more error-prone (~ 97% accuracy) LSK109 chemistry, and newer more accurate (~ 99% accuracy) LSK112 Q20 + chemistry. …”
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A High-Precision Real-Time Temperature Acquisition Method Based on Magnetic Nanoparticles by Yuchang Zhu, Li Ke, Yijing Wei, Xiao Zheng

“…Compared with the opposition learning gray wolf optimizer and particle swarm optimization–gray wolf optimization, the proposed method achieves reductions of 52% and 68%, respectively. Additionally, under dual-frequency superimposed magnetic field excitation, a higher temperature inversion accuracy is achieved compared with that of the particle swarm optimization–gray wolf optimization algorithm, reducing the error from 0.237 K to 0.094 K.…”
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Structural Equation Modeling Approaches to Estimating Score Dependability Within Generalizability Theory-Based Univariate, Multivariate, and Bifactor Designs by Walter P. Vispoel, Hyeryung Lee, Tingting Chen

“…Although general-factor effects were dominant, subscale viability was supported in all cases, with transient measurement error leading to the greatest reductions in score accuracy. …”
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Impact of CO2-water-coal on enhanced coalbed methane recovery by CO2 injection in Huainan coalfield by Helong ZHANG, Shiqi LIU, Yuchen TIAN, Wenkai WANG, Shuxun SANG, Sijian ZHENG, Bing LI, Yongchun CHEN

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GRU-LSTM model based on the SSA for short-term traffic flow prediction by Changxi Ma, Xiaoyu Huang, Yongpeng Zhao, Tao Wang, Bo Du

“…Compared with the baselines, the proposed model results in reductions in the root mean square error (RMSE) of 4.632%–45.206%, the mean absolute error (MAE) of 2.608%–53.327%, the mean absolute percentage error (MAPE) of 1.324%–13.723%, and an increase in R2 of 0.5%–17.5%. …”
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Optimized stress-strain modeling of eco-friendly fiber-reinforced concrete members using meta-heuristic algorithms by Sawsan Akram Hassan, Mahir M. Hason, Ammar N. Hanoon, Ali A. Abdulhameed

“…In terms of absolute relative error (ARE), the dataset proves that the suggested model has both the greatest (ARE 5 %) and worst (ARE > 15 %) frequencies. …”
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Clinical Outcome Scores Post Medial Unicompartmental Knee Arthroplasty: A Comparison of the MAKO Robotic Arm versus the Oxford Conventional Approach by Tan CMP, Shih SSW, Ravichandran V, Quah ESH, Kunnasegaran R

“…Robotic-assisted UKA offers more accurate implant positioning, soft tissue balancing, improved lower limb alignment, and a reduction in surgical error. There are few studies studying functional outcomes post robotic-assisted UKA. …”
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Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Tetiana Gryshchuk

“…The empirical results are characterized by a significant reduction in the Mean Absolute Percentage Error regarding the etalon data over the prediction interval, which proves the adequacy of the proposed approach.…”
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