A Modified Regular Perturbation Model for the Single-Span Fiber Transmission Using Learnable Methods by Shuhong He, Zhongya Li, Sizhe Xing, An Yan, Yingjun Zhou, Jianyang Shi, Chao Shen, Ziwei Li, Zhixue He, Wei Chen, Nan Chi, Junwen Zhang

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Integrated Multiomics Analyses of the Molecular Landscape of Sarcopenia in Alcohol‐Related Liver Disease by Nicole Welch, Pugazhendhi Kannan, Saurabh Mishra, Annette Bellar, Vandana Agrawal, Grahame Kidd, Emily Benson, Ryan Musich, Raya Tabbalat, Ling Li, J. Mark Brown, Belinda Willard, Karyn A. Esser, Laura E. Nagy, Srinivasan Dasarathy

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Determination of Main Bearing Dynamic Clearance in a Shield Tunneling Machine Through a Broadband PMUT Array with a Decreased Blind Area and High Accuracy by Guoxi Luo, Haoyu Zhang, Delai Liu, Wenyan Li, Min Li, Zhikang Li, Lin Sun, Ping Yang, Ryutaro Maeda, Libo Zhao

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Automatic detection of lucky bamboo nodes based on Improved YOLOv7 by Jing Zhang, Jing Zhang, Jing Zhang, Ruoling Deng, Ruoling Deng, Ruoling Deng, Chengzhi Cai, Erpeng Zou, Haitao Liu, Haitao Liu, Mingxin Hou, Xinzhi Chen, Huamin Lin, Zhenye Wei

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The intestinal microbiome and metabolome discern disease severity in cytotoxic T-lymphocyte-associated protein 4 deficiency by Prabha Chandrasekaran, Máté Krausz, Yu Han, Noriko Mitsuiki, Annemarie Gabrysch, Christina Nöltner, Michele Proietti, Theo Heller, Caroline Grou, Virginie Calderon, Poorani Subramanian, Drew R. Jones, Yik Siu, Clayton Deming, Sean Conlan, Steven M. Holland, Julia A. Segre, Gulbu Uzel, Bodo Grimbacher, Emilia Liana Falcone

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Cultural adaptation and psychometric properties of the 8-item Patient Health Questionnaire (PHQ-8) to screen for depression in southwestern Madagascar by Hervet J. Randriamady, Manasi Sharma, Rocky E. Stroud, Aroniaina M. Falinirina, Romario, Madeleine Rasoanirina, Nadège V. Volasoa, Frédéric Déclerque, Marc Y. Solofoarimanana, Jean C. Mahefa, Hanitra O. Randriatsara, Karestan C. Koenen, Christopher D. Golden

“…We found that the one-factor (Depression) model (root mean square error of approximation [RMSEA] = 0.046, standardized root mean square residual [SRMR] = 0.053, Comparative Fit Index [CFI] = 0.993 and Tucker–Lewis Index [TLI] = 0.991) had a better fit to our data than the two-factor (Cognitive–Affective and Somatic) model (RMSEA = 0.047, SRMR = 0.052, CFI = 0.994 and TLI = 0.990). …”
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Differentiable Modeling of Planet and Substellar Atmosphere: High-resolution Emission, Transmission, and Reflection Spectroscopy with ExoJAX2 by Hajime Kawahara, Yui Kawashima, Shotaro Tada, Hiroyuki Tako Ishikawa, Ko Hosokawa, Yui Kasagi, Takayuki Kotani, Kento Masuda, Stevanus K. Nugroho, Motohide Tamura, Hibiki Yama, Daniel Kitzmann, Nicolas Minesi, Brett M. Morris

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An integrated approach to image quality: comparative analysis of bilinear and nearest neighbor interpolation by Wusat Ullah, Seher Ilyas, Hamza Naveed, Saalam Ali

“…To achieve a thorough evaluation of each interpolation method, we utilize a set of essential quality assessment metrics: Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Grayscale Analysis, and Mean Squared Error (MSE). These metrics were selected to provide a balanced assessment of image sharpness, structural accuracy, and overall visual quality. …”
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A Novel Statistical Approach to Obtain the Best Visibility Slice in MRI Sequence of Brain Tumors by Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma

“…The best tumor visibility slice was determined using the root mean square error metric. In addition, a clustering approach was applied to segment the tumor images. …”
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Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker by Leonardo Fazio, Giuseppe Stolfa, Roberta Passiatore, Angelantonio Tavella, Giuseppe Blasi, Madalina O. Buciuman, Aaron L. Goldman, Shalaila S. Haas, Lana Kambeitz‐Ilankovic, Nikolaos Koutsouleris, Monica Nicoli, Teresa Popolizio, Antonio Rampino, Anne Ruef, Fabio Sambataro, Pierluigi Selvaggi, William Ulrich, Daniel R. Weinberger, Apulian Network on Risk for Psychosis, PRONIA Consortium, Alessandro Bertolino, Linda A. Antonucci, Giulio Pergola

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Assessment of the influence of gap wall mobility factor at calculation of leakage in working section of a scroll compressor. Part 2 by V. A. Pronin, A. V. Kovanov, V. A. Tsvetkov, E. N. Mikhailova, P. A. Belov

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Generation of 1 km high resolution Standardized precipitation evapotranspiration Index for drought monitoring over China using Google Earth Engine by Yile He, Youping Xie, Junchen Liu, Zengyun Hu, Jun Liu, Yuhua Cheng, Lei Zhang, Zhihui Wang, Man Li

“…The accuracy of 1 km resolution SPEI was evaluated through metrics such as root mean square error (RMSE), Pearson correlation coefficient (PCC) and determination coefficient (R2). …”
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Materials and Structures Used in Aeronautics: Present and Future Perspectives by Mihai FLOREA, Vlad-Stefan CONSTANTIN, Andrei-Christian BUCUR, Raluca FAUR, Denis PREDU, Alexandru CAZACU

“…In aviation, the most significant material characteristics are strength combined with lightness and stability in the operating environment. Trial and error can be costly in this context, necessitating well-planned design and engineering to ensure resistance to aerodynamic forces during flight. …”
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Wet-radome attenuation in ARM cloud radars and its utilization in radar calibration using disdrometer measurements by M. Deng, S. E. Giangrande, M. P. Jensen, K. Johnson, C. R. Williams, J. M. Comstock, Y.-C. Feng, A. Matthews, I. A. Lindenmaier, T. G. Wendler, M. Rocque, A. Zhou, Z. Zhu, E. Luke, D. Wang

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A Tool for Energy Consumption Monitoring and Analysis of the Android Terminal by Deguang Li, Zhanyou Cui, Chenguang Bai, Qiurui He, Xiaoting Yan

“…Finally, we test our tool in real environment by using Xiaomi 9 Pro and perform comparison with actual instrument measurement; the error between the monitored value and the measured value is less than 5%.…”
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Mapping of processes and risks in the digital transformation in metrology of ionizing radiation, a case study in X-rays air kerma calibration by Igor Fernando Modesto Garcia, Jeovana Santos Ferreira, Eric Matos Macedo, Marcos Vinicius Teixeira Navarro, José Guilherme Pereira Peixoto

“…For the new metrological challenges of an increasingly digitized world, several countries are developing applications and infrastructure for Digital Calibration Certificates – DCC, researching the comparability of real and virtual measurements. …”
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Risk Factors and Scabious Prevalence in Cats During 2020 in Griya Satwa Clinic, Magetan by Nedriana Cahya, Hardany Primarizky, Maya Nurwartanti Yunita

“…The results of the prevalence of scabious in cats from the study during January-February 2021 in the 2020 period were 9.5%, and the analysis of the association (Chi-Square) and the increased (Odds Ratio) of factors including breed, age, sex on the risk of scabious in cats were not significance / absent influence, The probability of error obtained is outside the tolerance set by the researcher, so the results are not significant (p>0,05).…”
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Appointment of Four Judges in Fāṭimid Egypt in 525/1131, A New Interpretation by İrfan İnce

“…Subsequently, I examine Allouche’s method of using the sources, highlight significant gaps and errors in his source analysis, and suggest revisions for his evaluation of the main questions he tried to answer.…”
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Maintenance Time Prediction for Predictive Maintenance of Ship Engines by Seunghun Lim, Jungmo Oh, Jinkyu Park

“…And through comparison and verification using machine learning, the average mean absolute error (MAE) across all cylinders was 2.916 for the RGCCV-based method and 8.138 for the temperature-based method, demonstrating a 64% improvement. …”
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Artificial Intelligence Driving Innovation in Textile Defect Detection by Ahmet Ozek, Mine Seckin, Pinar Demircioglu, Ismail Bogrekci

“…Traditional inspection methods, which predominantly depend on manual processes, are limited by human error and scalability challenges. Recent advancements in artificial intelligence (AI)—encompassing computer vision, image processing, and machine learning—have transformed defect detection, delivering improved accuracy, speed, and reliability. …”
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