Price discovery and market efficiency of cardamom in India by A.N. Vijayakumar

“…Design/methodology/approach – This study used Johansen co-integration, vector error correction model, Granger causality and regression with dummy variables to understand a day of the week effect in high-value agri-commodity of cardamom e-auction prices. …”
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Regional Frequency Analysis Using L-Moments for Determining Daily Rainfall Probability Distribution Function and Estimating the Annual Wastewater Discharges by Pau Estrany-Planas, Pablo Blanco-Gómez, Juan I. Ortiz-Vallespí, Javier Orihuela-Martínez, Víctor Vilarrasa

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Jointing Adjacent Environmental Variation Into a Deep Learning Model for Gap-Filling Passive Microwave-Based Land Surface Temperature by Weizhen Ji, Yunhao Chen, Haiping Xia, Han Gao, Lei Zhu

“…These findings present a more scientific and effective gap-filling method, potentially enhancing the accuracy of land thermal environment research.…”
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Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach by Ling Zhang, Ruigang Wei, Jingwen Zhou, Lin Tan, Xiaolong Che, Minqinag Zhang, Xiaoyue Ning, Zhiliang Zhong

“…Existing studies primarily rely on statistical methods such as logistic regression for small-scale data analysis, while research on the application of machine learning in large-scale data remains limited. …”
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Cytochrome P450 2J2*7 Single-nucleotide Polymorphism and Nocturnal Hypertension in an Elderly Turkish Population by Elif Hilal Vural, Arzu Güneş Granberg, Atiye Çengel, Marja-Liisa Dahl, Hakan Zengil

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Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

“…However, the limited sample size may affect the model’s generalizability, so it’s essential to conduct further research with larger datasets.Keywords: CT pulmonary angiography, machine learning, image quality, data interpretation…”
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Reliability of the use of foot pressure pain threshold in adults: a test-retest analysis by Lidia Mayorga-Vega, Ana Maria Jimenez-Cebrian, Francisco Javier Barón-López, Alonso Montiel-Luque, Juan Carlos Benavente-Marín, Julia Warnberg

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Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm by Rana Al-Rawashdeh, Md Mahfuzur Rahman, Mahmood Niazi

“…The main problem in image steganography is to find the right balance between the maximum amount of secret data that can be transmitted or stored in the cover image and the quality of the stego image to make the secret data un-noticeable to human senses or other detection mechanisms. In this research, a new framework is proposed that integrates the edge detection strategy (using edge detectors) with the deep learning methods, such as a convolutional neural network (CNN), for making secret data embedding and extraction processes efficient. …”
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Frequency of Diabetic Nephropathy in Type 2 Diabetic Patients Using Spot Urine ACR and Its Associated Risk Factors by Asad Ullah, Sayed Ali Zeeshan Kausar, Muhammad Ayaz, Muhammad Shabbir Khan, Sami Ullah, Rida Fatima Saeed

“…Place and Duration of Study: This research was carried out at the Department of Medicine, Muhammad Teaching Hospital (MTH) Peshawar, Pakistan from February 01, 2023, to July 31, 2023. …”
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COMPARISON OF POROSITY PREDICTION FROM SEISMIC DATA IN THE F3 BLOCK, NETHERLANDS USING MACHINE LEARNING by Urip Nurwijayanto Prabowo, Sudarmaji Sudarmaji, Jarot Setyowiyoto, Sismanto Sismanto

“…The results indicate that the cycle-GAN produces the most accurate porosity estimates, with a mean square error (MSE) of 0.603 and a Pearson correlation coefficient (PCC) of 0.713. …”
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Bridging human and machine intelligence: Reverse-engineering radiologist intentions for clinical trust and adoption by Akash Awasthi, Ngan Le, Zhigang Deng, Rishi Agrawal, Carol C. Wu, Hien Van Nguyen

“…This work sets a precedent for future research in AI-driven healthcare, offering a pathway towards transparent, trustworthy, and human-centered AI systems. …”
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Clinical usefulness of hemoencephalography beyond the neurofeedback by Serra-Sala M, Timoneda-Gallart C, Pérez-Álvarez F

“…It is available to any research group for its relative simplicity and low cost and is a useful tool for assessing prefrontal-dependent functions. …”
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Analysis of Abnormal Sea Level Rise in Offshore Waters of Bohai Sea in 2024 by Song Pan, Lu Liu, Yuyi Hu, Jie Zhang, Yongjun Jia, Weizeng Shao

“…The primary contribution of this study lies in analyzing the dynamic drivers during two anomalous sea level rise events in the Bohai Sea through coupled numeric modeling using the Weather Research and Forecasting (WRF) model and the Finite-Volume Community Ocean Model (FVCOM) integrated with the Simulating Waves Nearshore (SWAN) module (hereafter referred to as FVCOM-SWAVE). …”
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Evaluation of a coastal acoustic buoy for cetacean detections, bearing accuracy and exclusion zone monitoring by Kaitlin J. Palmer, Sam Tabbutt, Douglas Gillespie, Jesse Turner, Paul King, Dominic Tollit, Jessica Thompson, Jason Wood

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Detection and Theoretical Numerical Simulation of the Failure Depth of the Bottom Plate in Belt Pressure Mining by Xipeng Cui, Shuancheng Gu, Jinhua Li, Jiahao Wen, Kailei Zhao, Xinlei Liu

“…It provides important technical parameters for the safe setting of the effective water barrier layer and the selection and timing of the grouting layer of the floor, which can bring considerable economic and social benefits. The research results have important popularization value.…”
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A High-Precision ID-TIMS U-Pb Dating Method of Apatite by Jiarun TU, Hongying ZHOU, Yurong CUI, Guozhan LI, Jianzhen GENG, Jian ZHANG

“…Moreover, taking MAP-3 as a calibration standard, LA-ICP-MS U-Pb dating was performed on apatite in Durango and Otter Lake, resulting in lower intercept ages of 32.1±0.6Ma (MSWD=1.3, n=36) and 910±13Ma (MSWD=1.6, n=36) in a Tera-Wasserburg diagram, which were consistent with the previous research results within error. This gives further evidence that MAP-3, with extremely low common lead content, is an ideal apatite in situ U-Pb dating standard. …”
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Investigating the Influence of the Weed Layer on Crop Canopy Reflectance and LAI Inversion Using Simulations and Measurements in a Sugarcane Field by Longxia Qiu, Xiangqi Ke, Xiyue Sun, Yanzi Lu, Shengwei Shi, Weiwei Liu

“…Recent research in agricultural remote sensing mainly focuses on how soil background affects canopy reflectance and the inversion of LAI, while often overlooking the influence of the weed layer. …”
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Integrated export instream coefficient model for accurate nonpoint source pollution estimation and management in the Yellow River Basin by Xueting Wang, Lei Wu, Yongkun Luo, Yimu Liu, Ruowen Wang

“…Compared to ECM optimized solely with GA, the EC-ICM demonstrates improved accuracy, reducing the relative error of total nitrogen and total phosphorus by 9.66% and 6.68%, respectively. …”
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Integrating Statistical and Earth <i>AgriData</i> in Small Farming Systems for Food Security by Theodore Tsiligiridis, Katerina Ainali

“…Nevertheless, in this research, we focus on its development, testing, and evaluation in three pilot prefectures of Greece, producing the corresponding land cover maps. …”
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Evaluation of the accuracy of a non-invasive hemoglobin-monitoring device in schoolchildren by Kanzo Okazaki, Kaoru Okazaki, Masayoshi Uesugi, Takahiro Matsusima, Hiroshi Hataya

“…Fifty-nine participants (49 %) had a relative error of ± 0.10. Conclusion: The Astrim Fit non-invasive Hb monitor can be used to evaluate Hb levels among schoolchildren for health promotion or research purposes because of its extremely low bias (or precision), no systematic biases (including fixed or proportion biases), and positive correlation between non-invasive monitoring and blood drawing. …”
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