External Validation and Extension of a Cochlear Implant Performance Prediction Model: Analysis of the Oldenburg Cohort by Rieke Ollermann, Robert Böscke, John Neidhardt, Andreas Radeloff

“…When patients provided with CIs from different manufacturers were enrolled, the prediction error was also higher than in the original cohort. …”
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Physical Layer Evaluation on IEEE 802.11p With Different Configurations in NLOS Scenarios for V2V Communications by Shuting Guo, Daniel N. Aloi, Jia Li, Hongmei Zhao

“…Firstly, to break the limitation of partial physical layer (PHY) evaluation, extensive PHY metrics, which include the packet error rate (PER), packet reception ratio (PRR), output packet inter-arrival time (IAT), and output effective data rate, are adequately employed to fulfill complete PHY evaluation. …”
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Embedded solar adaptive optics telescope: achieving compact integration for high-efficiency solar observations by Naiting Gu, Hao Chen, Ao Tang, Xinlong Fan, Carlos Quintero Noda, Yawei Xiao, Libo Zhong, Xiaosong Wu, Zhenyu Zhang, Yanrong Yang, Zao Yi, Xiaohu Wu, Linhai Huang, Changhui Rao

“…Validations including turbulence simulations, optical bench testing, and practical observations at the Lijiang observatory collectively confirm the system's capability to maintain about λ/10 wavefront error during active region tracking. This architectural breakthrough of the ESAOT addresses long-standing SAO integration challenges in solar astronomy and provides scalability analyses confirming direct applicability to the existing and future large solar observation facilities.…”
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Fabrication of high-quality microlens arrays on fused silica based on combined rapid evaporative ablation and precision melting polishing of CO2 lasers by Zixiao Zhang, Hongqin Lei, Jian Cheng, Qiang Zhao, Xinxin He, Linjie Zhao, Mingjun Chen, Jinghe Wang

“…Microlens arrays (MLAs) made from fused silica possess broad applications in wavefront sensing, optical focusing, beam shaping, etc. …”
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Cross-border impact of agricultural fertilizer use: Environmental spillovers and healthcare costs in European countries by Aleksandra Kuzior, Stanislav Vasylishyn, Vladyslav Hrei, Maksym Huzenko, Olena Akymenko, Oleksii Solohub, Tetiana Vasylieva

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Seven-parameter PEMFC model optimization using an battlefield optimization algorithm by Manish Kumar Singla, S.A. Muhammed Ali, Jyoti Gupta, Pradeep Jangir, Arpita, Ramesh Kumar, Reena Jangid, Mohammad Khishe

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A Universal BRDF Archetype Database for Normalizing Directional Reflectance to Nadir BRDF Adjusted Reflectance by Qianrui Xi, Hu Zhang, Junqin Xie, Xiaoning Zhang, Hongtao Cao, Yan Liu, Lei Cui, Yadong Dong

“…The results indicate that the following: 1) The 3 × 3 universal BRDF archetype database is sufficient to represent the surface anisotropy of different spectral bands. 2) The optimal BRDF archetype in the lookup table (LUT) undergoes notable variations under different solar and viewing geometries, and specific prior BRDF knowledge is applicable only to certain solar and viewing geometries. 3) Validations based on simulated MODerate resolution imaging spectroradiometer reflectance suggests that in the red and near-infrared (NIR) bands, when the observation zenith angle is 60°, the percentages of directions with the root mean square error (RMSE) values below 0.05 and 0.06 constitute 82.74% and 75.70% of the entire viewing hemisphere, respectively. …”
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Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics—yesterday, today, and tomorrow by Elhoucine Elfatimi, Yassir Lekbach, Swayam Prakash, Lbachir BenMohamed, Lbachir BenMohamed, Lbachir BenMohamed, Lbachir BenMohamed

“…In the past, the development of vaccines and immunotherapeutics relied heavily on trial-and-error experimentation, as well as extensive and costly in vivo testing, which typically required years of pre-clinical and clinical trials. …”
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A Miniaturized Device Based on Cobalt Oxide Nanoparticles for the Quantification of Uric Acid in Artificial and Human Sweat by Carlos D. Ruiz-Guerrero, Dulce V. Estrada-Osorio, Alejandro Gutiérrez, Fabiola I. Espinosa-Lagunes, Gabriel Luna-Barcenas, Ricardo A. Escalona-Villalpando, Luis G. Arriaga, Janet Ledesma-García

“…Co₃O₄-based materials have multiple applications in the field of materials, especially in sensor technology. …”
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Apple phenotyping using deep learning and 3D depth analysis: An experimental study on fruitlet sizing during early development by Giorgio Checola, Damiano Moser, Paolo Sonego, Cristian Iob, Franco Micheli, Pietro Franceschi

“…This approach could pave the way for future applications, including the evaluation of plant growth regulator trials and the development of predictive models for yield and productivity optimization.…”
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Research on non-destructive testing method for radial defect of anchor bolt based on longitudinal guided wave by Deying TANG, Weimin TANG, Zhiyi ZENG, Qing TIAN, Ailing LI, Yaling GUO, Erdi A’BI, Tongyu WU, Yibo WU

“…The method based on empirical mode decomposition can identify the defect information of anchor bolt accurately, and the error of fault location identification is 5.3%.…”
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Developing a machine learning-based predictive model for levothyroxine dosage estimation in hypothyroid patients: a retrospective study by Tran Thi Ngan, Tran Thi Ngan, Dang Huong Tra, Ngo Thi Quynh Mai, Hoang Van Dung, Nguyen Van Khai, Pham Van Linh, Nguyen Thi Thu Phuong, Nguyen Thi Thu Phuong

“…Among the models tested, the Extra Trees Regressor (ETR) demonstrated the highest predictive accuracy, achieving an R² of 87.37% and the lowest mean absolute error of 9.4 mcg (95% CI: 7.7–11.2) in the test set. …”
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An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients by Utpal Chandra Das, Ngoc Thien Le, Timporn Vitoonpong, Chalermdej Prapinpairoj, Kawee Anannub, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul

“…The model facilitates real-time evaluation of rehabilitation progress by clinicians, with the lowest observed error rate of $$0.34^\circ$$ of angle measurement. …”
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Validation of LLM-Generated Object Co-Occurrence Information for Understanding Three-Dimensional Scenes by Kenta Gunji, Kazunori Ohno, Shuhei Kurita, Ken Sakurada, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro

“…The results revealed that GPT-4 achieved a high recall of 0.78 across various situation categories annotated by ScanNet v2, although its precision was relatively low at an average of 0.29. The root mean square error of the co-occurrence coefficient was 0.31. …”
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Deconvolution of cell types and states in spatial multiomics utilizing TACIT by Khoa L. A. Huynh, Katarzyna M. Tyc, Bruno F. Matuck, Quinn T. Easter, Aditya Pratapa, Nikhil V. Kumar, Paola Pérez, Rachel J. Kulchar, Thomas J. F. Pranzatelli, Deiziane de Souza, Theresa M. Weaver, Xufeng Qu, Luiz Alberto Valente Soares Junior, Marisa Dolhnokoff, David E. Kleiner, Stephen M. Hewitt, Luiz Fernando Ferraz da Silva, Vanderson Geraldo Rocha, Blake M. Warner, Kevin M. Byrd, Jinze Liu

“…Abstract Identifying cell types and states remains a time-consuming, error-prone challenge for spatial biology. While deep learning increasingly plays a role, it is difficult to generalize due to variability at the level of cells, neighborhoods, and niches in health and disease. …”
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Direct Torque Control-Based Backstepping Speed Controller of Doubly Fed Induction Motors in Electric Vehicles: Experimental Validation by Ahmed Chantoufi, Aziz Derouich, Najib El Ouanjli, Said Mahfoud, Abderrahman El Idrissi, Ahmad F. Tazay, Mohamed I. Mosaad

“…Additionally, it has some features that render it suitable for EV applications. This study contributes to advancing the field of new control systems for a DFIM used in EV applications. …”
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Evaluation of V2X Technologies for the Connectivity of Small Autonomous Vehicles on Secondary Railway Lines by Dereje Mechal Molla, Chadli Hadji, Sassi Maaloul, Leo Mendiboure, Marion Berbineau, Hakim Badis

“…Several evaluations were performed using latency, jitter, packet delivery rate, and packet error rate as key performance indicators. The evaluation results demonstrate that C-V2X outperforms ITS-G5, and 4G/5G NR surpass LoRa’s performance. …”
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Cryogenic Hyperdimensional In-Memory Computing Using Ferroelectric TCAM by Shivendra Singh Parihar, Shubham Kumar, Swetaki Chatterjee, Girish Pahwa, Yogesh Singh Chauhan, Hussam Amrouch

“…Our comprehensive analysis spans from investigating the delay, power, and energy efficiency of TCAM-based IMC all the way up to calculating error probabilities in which we compare the figure of merits obtained from the emerging Fe-FinFET against classical FinFET-based IMC. …”
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Rapid retrieval of soil moisture using a novel portable L-band radiometer in the Hulunbeier Prairie, China by Shaoning Lv, Derek Houtz, Shiyuan Li, Yin Hu, Jing Zhang, Dongli Wu, Lei Jin, Jun Wen

“…Employing the brightness temperature data as input, the CMEM-inspired schemes achieve soil moisture retrieval with an RMSE (Root Mean Square Error) of approximately 0.06 cm3/cm3, whereas the regression model between retrieved and observed data manifests a linear bias. 2. …”
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New Emerging and Comprehensive Land Mapping Unit at Detailed Scale: Integrating Random Forest Analysis and Remote Sensing Techniques for Sustainable Land Management by Aditya Nugraha Putra, Reni Ustiatik, Novandi Rizky Prasetya, Erza Aulia Adara, Istika Nita, Syamsu Ridzal Indra Hadi, Soemarno Soemarno, Sudarto Sudarto, Sri Rahayu Utami, Mochammad Munir, Mochtar Lutfi Rayes

“…The results show that RF-based LMUs achieved R2 of 0.93 and Root Mean Square Error (RMSE) of 0.645, which is reliable to use. …”
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