Rapid screening of fumonisins in maize using near-infrared spectroscopy (NIRS) and machine learning algorithms by Bruna Carbas, Pedro Sampaio, Sílvia Cruz Barros, Andreia Freitas, Ana Sanches Silva, Carla Brites

“…Similarly, ANN models showed good predictive performance, particularly for FB1 + FB2, with R = 0.99, and the root means square error (RMSE) of 131 μg/kg for calibration; and R = 0.95, RMSE = 656 μg/kg for validation.These findings underscore the efficacy of NIR spectroscopy as a rapid, non-destructive tool for fumonisin screening in maize, with chemometric algorithms enhancing model accuracy, offering a valuable method for ensuring food safety.…”
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A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning by Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias Karl David Weber

“…We proposed a thorough feature selection analysis to find the best combination of RS and climate data to detect phenological stages. …”
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Enhanced quantitation of pathological α-synuclein in patient biospecimens by RT-QuIC seed amplification assays. by Ankit Srivastava, Qinlu Wang, Christina D Orrù, Manel Fernandez, Yaroslau Compta, Bernardino Ghetti, Gianluigi Zanusso, Wen-Quan Zou, Byron Caughey, Catherine A A Beauchemin

“…The use of 2-fold versus 10-fold dilution factors and 12 versus 4 replicate reactions per dilution reduced ED-RT-QuIC assay error by as much as 70%. This enhanced assay format discriminated as little as 2-fold differences in αSynD seed concentration besides detecting ~2-16-fold seed reductions caused by inactivation treatments. …”
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An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion by Yingjian Yang, Jie Zheng, Peng Guo, Tianqi Wu, Qi Gao, Yong Li, Chengcheng Liu, Yang Liu, Yingwei Guo, Huai Chen

“…Lastly, these abnormal hemi-diaphragms are optimized based on the consistency criterion of diaphragm motion.ResultsResults show that the proposed optimization method can effectively measure the hemi-diaphragm, even in the presence of the inapparent cardiophrenic angle caused by abnormal deformations of the lung field morphology during respiration, reducing the mean error by 49.050 pixels (49.050 × 417 μm = 20,453.85 μm).DiscussionTherefore, the proposed optimization method may become an effective tool for precision healthcare to find the pattern of diaphragm movement during respiratory interventions.…”
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Statistical analysis and machine learning of TMS-induced MEPs for predicting poststroke motor impairment and performance by Chun-Ren Phang, Shintaro Uehara, Sachiko Kodera, Akiko Yuasa, Shin Kitamura, Yohei Otaka, Akimasa Hirata

“…Participants without detectable MEPs (n = 18) had significantly lower motor scores than those with detectable MEPs did. …”
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Utilizing LuTan-1 SAR Images to Monitor the Mining-Induced Subsidence and Comparative Analysis with Sentinel-1 by Fengqi Yang, Xianlin Shi, Keren Dai, Wenlong Zhang, Shuai Yang, Jing Han, Ningling Wen, Jin Deng, Tao Li, Yuan Yao, Rui Zhang

“…In conclusion, these findings provide valuable insights for future subsidence-monitoring tasks utilizing LT-1 data. …”
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Estudio sobre la idoneidad de dos test de valoración de la amplitud de movimiento en personas sedentarias con discapacidad intelectual (Study on the suitability of two test for th... by Ruth Cabeza-Ruiz, Pedro Tomás Gómez Piriz

“…Para conocer la idoneidad de ambos test, se calculó la fiabilidad, la viabilidad, el error estándar de la medida (EEM) y el mínimo cambio detectable (MCD). …”
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Assessment of five global gridded precipitation estimates over a southern Mediterranean basin (Tensift, Morocco) by Kaoutar Oukaddour, Younes Fakir, Michel Le Page

“…A set of statistical metrics, such as the Kling Gupta Efficiency (KGE) and the Root Mean Square Error (RMSE), as well as the Bias, served to carry out the evaluation. …”
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Influence of Geometrical Design on Defect Formation of Commercial Al-Si-Cu-Mg Alloy Fabricated by High-Pressure Diecasting: Structural Observation and Simulation Validation by Warda Bahanan, Siti Fatimah, Dong-Ju Kim, I Putu Widiantara, Jee-Hyun Kang, Young Gun Ko

“…Because the associated work primarily relies on technical experience, it is necessary to perform the structural analysis of the HPDed component in comparison with simulation-based findings that forecast flow behavior, hence reducing trial and error for optimization. …”
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Intracellular spatial transcriptomic analysis toolkit (InSTAnT) by Anurendra Kumar, Alex W. Schrader, Bhavay Aggarwal, Ali Ebrahimpour Boroojeny, Marisa Asadian, JuYeon Lee, You Jin Song, Sihai Dave Zhao, Hee-Sun Han, Saurabh Sinha

“…Abstract Imaging-based spatial transcriptomics technologies such as Multiplexed error-robust fluorescence in situ hybridization (MERFISH) can capture cellular processes in unparalleled detail. …”
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A hybrid compound scaling hypergraph neural network for robust cervical cancer subtype classification using whole slide cytology images by Pooja Govindaraj, Sasikaladevi Natarajan, Pradeepa Sampath, Akilesh Thimma Suresh, Rengarajan Amirtharajan

“…Manual cytological examination is time-consuming, error-prone and subject to inter-observer variability. …”
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Reconfigurable Intelligent Surface Enabled Spatial Modulation for Visible Light Communications by Pengfei Shen, Lu Lu

“…To enable RIS based SM for VLC, we first study two straight-forward methods by exploiting the reconfigurability of RIS whose elements are divided into groups, namely RIS enabled SM (RIS-SM) and RIS enabled generalized SM (RIS-GSM), which activate one and multiple groups, respectively. Furthermore, we find that the bit error rates (BER) performance of RIS-SM and RIS-GSM are highly affected by channel correlation. …”
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Assessing the representativeness of large medical data using population stability index by Sheng-Chieh Lu, Wenye Song, Andre Pfob, Chris Gibbons

“…Abstract Background Understanding sample representativeness is key to interpreting findings from epidemiological research and applying these findings to broader populations. …”
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Os contornos da cidadania crítica: explorando a legitimidade democrática by Mitchel A. Seligson, John A. Booth, Miguel Gómez B.

“…We also identify certain limitations with both the theoretical and limited empirical research, related to misleading operationalization and the specification of empirical links that we fail to detect. We also find and remedy a surprising error of omission - that prior research overlooked local government as a target of legitimacy beliefs.…”
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Improved somatic mutagenesis in zebrafish using transcription activator-like effector nucleases (TALENs). by Finola E Moore, Deepak Reyon, Jeffry D Sander, Sarah A Martinez, Jessica S Blackburn, Cyd Khayter, Cherie L Ramirez, J Keith Joung, David M Langenau

“…These designer nucleases bind to and cleave DNA at particular target sites, inducing error-prone repair that can result in insertion or deletion mutations. …”
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Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms by Abdullah Alharbi, Wael Alosaimi, Radhya Sahal, Hager Saleh

“…The offline phase targets developing the model using different forecasting techniques to find the lowest root mean square error. The heart rate time-series dataset is extracted from Medical Information Mart for Intensive Care (MIMIC-II). …”
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A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. by Julian Hecker, Dmitry Prokopenko, Matthew Moll, Sanghun Lee, Wonji Kim, Dandi Qiao, Kirsten Voorhies, Woori Kim, Stijn Vansteelandt, Brian D Hobbs, Michael H Cho, Edwin K Silverman, Sharon M Lutz, Dawn L DeMeo, Scott T Weiss, Christoph Lange

“…While this strategy can increase the power to detect interactions, identifying contributing genes and pathways is difficult based on these relatively global results. …”
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Distribution and risk factors for childhood visual deficiency in Morocco: Case – control study by Loulidi Soukaina, Loukid Mohamed, Boussaa Samia

“…Being the first of its kind in the area, our study's findings offer a valuable database for improved tracking of strategies used to prevent early blindness and visual impairment.…”
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AI-Driven Global Disaster Intelligence from News Media by Fahim Sufi, Musleh Alsulami

“…The ARIMA (2, 1, 2) model achieved a mean squared error (MSE) of 823,761, demonstrating high predictive accuracy. …”
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Near-infrared hyperspectral imaging and robust statistics for in vivo non-melanoma skin cancer and actinic keratosis characterisation. by Lloyd A Courtenay, Innes Barbero-García, Saray Martínez-Lastras, Susana Del Pozo, Miriam Corral de la Calle, Alonso Garrido, Diego Guerrero-Sevilla, David Hernandez-Lopez, Diego González-Aguilera

“…The analysis revealed that the spectral regions between 900.66-1085.38 nm, 1109.06-1208.53 nm, 1236.95-1322.21 nm, and 1383.79-1454.83 nm showed the highest differences in this regard, with <1% probability of these observations being a Type I statistical error. Our findings demonstrate that hyperspectral imagery in the near-infrared spectrum is a valuable tool for analyzing, diagnosing, and evaluating non-melanoma skin lesions, contributing significantly to skin cancer research.…”
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