A novel smart surveillance approach to strengthen health facility-based disease surveillance in Tanzania by Ms Happy Mkali, MD Alix Miauton, Dr. Alexandra Kulinkina, Ms. Magreth Joram, MD Caroline Enos, Mr. Lazar Pavicevic, Mr. Vincent Faivre, Dr. MD Rainer Tan, Dr. Sabine Renggli, Ms. Theopista Lotto, Mr. Sinamgoda Ngailla, MD Godfrey Kavishe, Mr. Ibrahim Mtebene, Mr. Peter Agrea, MD Lameck Luwanda, Mr Geofrey Ashery, MD Chacha Mangu, Dr. MD Nyanda Ntinginya, Prof. Dr. Honorati Masanja, Prof. Dr. MD Isabella Eckerle, Prof. Dr. MD Valerie D'Acremont

“…Introduction: The Integrated Disease Surveillance and Response system relies mainly on aggregated, paper-based, error-prone routine data from health facilities. …”
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A Statistical Framework to Detect and Quantify Operator-Learning Curves in Medical Device Safety Evaluation by Ssemaganda HC, Davis SE, Govindarajulu US, Koola JD, Mao J, Westerman DM, Perkins AM, Speroff T, Ramsay CR, Sedrakyan A, Ohno-Machado L, Matheny ME, Resnic FS

“…The study blinded the analysis team to the data-generation process.Methods: We developed predictive models using generalized additive models and estimated LC parameters using the Levenberg-Marqualdt algorithm. …”
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Systemic lupus erythematosus and risk factors for adverse outcomes in pregnancy: a single center retrospective cohort study in Northern Brazil by Sérgio Henrique Oliveira dos Santos, Juliana Bühring, Luiz Fernando de Souza Passos, Bárbara Seabra Carneiro, Domingos Sávio Nunes de Lima, Sandra Lúcia Euzébio Ribeiro

“…According to the post-hoc analysis, the probability of a Type S error in the ASA association was 100%. …”
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Derivative-Guided Dual-Attention Mechanisms in Patch Transformer for Efficient Automated Recognition of Auditory Brainstem Response Latency by Yin Liu, Huanghong Sun, Qiang Li, Kangkang Li, Xinxing Fu, Hao Zhu, Tiecheng Song, Yue Zhao, Tiantian Wang, Chenqiang Gao

“…Additionally, we systematically investigate how sample size and data heterogeneity affect model generalization, indicating the importance of large, diverse datasets in training robust DL models. …”
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FBMC vs. PAM and DMT for High-Speed Wireline Communication by Jeremy Cosson-Martin, Jhoan Salinas, Hossein Shakiba, Ali Sheikholeslami

“…Finally, we present a method to emulate wireline links while reducing the emulator complexity and simulation time by one to two orders of magnitude over conventional over-sampled techniques. Our analysis indicates that given a smooth channel and an SNR which enables an average spectral efficiency of <inline-formula> <tex-math notation="LaTeX">$4bits/sec/Hz$ </tex-math></inline-formula> at a bit-error rate of 10-3, both DMT and FBMC perform similarly to a conventional PAM-4 link. …”
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Pathways Between Parental Attitudes and Early Childhood Caries in Preschool Children by Apolinaras Zaborskis, Aistė Kavaliauskienė, Jaunė Razmienė, Augustė Razmaitė, Vilija Andruškevičienė, Julija Narbutaitė, Eglė Aida Bendoraitienė

“…Structural Equation Modeling (SEM) was applied for the data analysis. <b>Results</b>: The main path through which parental attitudes towards child oral health influenced the dmf-t index was via toothbrushing frequency (β = −0.17) or parental assistance with toothbrushing (β = 0.24). …”
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The influence of tactical models of team play on the dynamics of collective ball control indicators in football by Pavlo Perepelytsia, Volodymyr Perevoznyk, Volodymyr Paievskyi, Anatoliy Abdula, Irina Pomeshchikova, Betrix Yachsie

“…All data obtained during the experimental study were processed using well-known methods of mathematical statistics: x̄ - arithmetic mean; σ - standard deviation; m – error of representativeness of the arithmetic mean; t – reliability of the difference between the mean values ​​(according to the Student’s t-test). …”
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A Sea Horse Optimization-Based Approach for PEM Fuel Cell Model Parameter Estimation by Ali Erduman, Gizem Hazar, Evrim Baran Aydın

“…To further evaluate its performance, a detailed parametric sensitivity analysis is conducted on SHO-specific control parameters. …”
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Effect of Intramuscular Injection of Vitamin D on 25-Hydroxyvitamin D Levels, Glycaemic Control, and Liver Enzymes in Libyan Patients with Type 2 Diabetes Mellitus by Hafsa M. Alemam, Mouna M. ElJilani, Abdulla M. Bashein

“…Their serum 25(OH)D, fasting blood glucose (FBG), and liver enzymes were measured at the baseline and 12 weeks after treatment with vitamin D (200,000 IU) injection monthly for 3 months. Data analysis involved the estimation of mean ± standard error (SE) and comparison of means between pre and post-treatment values using paired t-test. …”
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Spatial estimation of large-scale soil salinity using enhanced inverse distance weighting method and identifying its driving factors by Yannan Liu, Yingzhi Qian, Yan Zhu, Wanli Xu, Guanghui Wei, Jiesheng Huang, Yuhao Qiao, Qianxi Ma

“…However, the understanding of soil salinity variation remains limited due to challenges in using conventional spatial interpolation methods with the highly variable soil salinity data in regional scales. The unrealistic ''bull's-eye'' effect is a common problem when using the inverse distance weighting method (IDW) for interpolation. …”
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Use of NIRS technology for predicting the nutritional value of silage made from tropical grasses enriched with corn ethanol co-products and intercropped with corn by Joadil Gonçalves de Abreu, Daniele Cristina da Silva Kazama, Wender Mateus Peixoto, Edegar Matter, Luciano da Silva Cabral, Ernando Balbinot, Patrícia Orlando Royer, Eduardo André Ferreira

“…The calibration model was selected based on the lowest root mean square error of the cross-validation (RMSECV) and the highest coefficient of determination (R2cv). …”
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Spatiotemporal monitoring of water storage in the North China Plain from 2002 to 2022 based on an improved GRACE downscaling method by Jinze Tian, Yu Chen, Shuai Wang, Xinlong Chen, Huibin Cheng, Xiaolong Tian, Xue Wang, Kun Tan

“…Study focus: The coupling effects of key drivers on water storage dynamics were quantitatively analyzed, integrating frequency-domain correlation analysis to identify lag effects, which were incorporated into a Random Forest (RF) downscaling method. …”
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Application of a Dual-Stream Network Collaboratively Based on Wavelet and Spatial-Channel Convolution in the Inpainting of Blank Strips in Marine Electrical Imaging Logging Images:... by Guilan Lin, Sinan Fang, Manxin Li, Hongtao Wu, Chenxi Xue, Zeyu Zhang

“…By designing a texture-aware data prior algorithm, a high-quality training dataset with geological rationality is generated. …”
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Near real-time land surface temperature reconstruction from FY-4A satellite using spatio-temporal attention network by Ruijie Li, Hequn Yang, Xu Zhang, Xin Xu, Liuqing Shao, Kaixu Bai

“…Intercomparison studies and error analysis also confirm the superiority of STAN, showing high LST reconstruction accuracy across different land covers and seasons. …”
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Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset by Takuya Fukushima, Masae Manabe, Shuntaro Yada, Shoko Wakamiya, Akiko Yoshida, Yusaku Urakawa, Akiko Maeda, Shigeyuki Kan, Masayo Takahashi, Eiji Aramaki

“…This evaluation process facilitated the creation an expert-evaluated dataset of responses generated by LLMs adapted with different combinations of these methods. Error analysis identified key ethical concerns, including inappropriate promotion of prenatal testing, criticism of relatives, and inaccurate probability statements. …”
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Post-hoc Evaluation of Sample Size in a Regional Digital Soil Mapping Project by Daniel D. Saurette, Richard J. Heck, Adam W. Gillespie, Aaron A. Berg, Asim Biswas

“…Furthermore, the comparison of the optimal maps to the reference maps showed little difference in the global statistics (concordance correlation coefficient and root mean square error) and spatial trends of the data, confirming that the optimal sample size was sufficient for creating predictions of similar accuracy to the full calibration dataset. …”
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Deep Learning-Driven Beam-Steering for Dual-Polarized 28 GHz Antenna Arrays in 5G Wireless Networks by Siti Zainab M. Zainab Hamzah, Norun Farihah Abdul Malek, Sarah Yasmin Mohamad, Farah Nadia Mohd Isa, Teddy Surya Gunawan, Kuo-Sheng Chin

“…The training and validation Root Mean Square Error (RMSE) and loss values converge to a minimum range of 1.3 to 2.3. …”
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Detailed Investigation of Cobalt-Rich Crusts in Complex Seamount Terrains Using the Haima ROV: Integrating Optical Imaging, Sampling, and Acoustic Methods by Yonghang Li, Huiqiang Yao, Zongheng Chen, Lixing Wang, Haoyi Zhou, Shi Zhang, Bin Zhao

“…Captured crust-bearing rocks weighed up to 78 kg, drilled cores reached 110 cm, and acoustic thickness measurements had a 1–2 cm margin of error compared to in situ cores; (2) Video and cores analysis showed summit platforms (3–5° slopes) dominated by tabular crusts with gravel-type counterparts, summit margins (5–10° slopes) hosting gravel crusts partially covered by sediment, and steep slopes (12–15° slopes) exhibiting mixed crust types under sediment coverage. …”
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Robust kinetics estimation from kinematics via direct collocation by Kuan Wang, Linlin Zhang, Leichao Liang, Jiang Shao, Xinpeng Chen, Huihao Wang

“…However, markerless motion capture can introduce varying degrees of error in tracking trajectories. This study aims to evaluate the effectiveness of the direct collocation method in estimating kinetics when joint trajectory data are impacted by noise.MethodsWe focused on walking and squatting movements as our target activities. …”
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Explaining the Pattern of Effective Factors in Building the Capacity of Extension Experts in the Development of Smart Climate Agriculture in the Northwestern Provinces of the Count... by M. Rafiee Sefid Dashti, S.M. Mirdamadi, S.J. Farajollah Hosseini, S. Shokri

“…Before proceeding with factor analysis, it was necessary to confirm the adequacy of the data. …”
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