EFFECT OF SOLID DISPERSIONS ON THE SOLUBILITY OF METRONIDAZOLE by I. I. Krasnyuk (Jr.), S. R. Naryshkin, I. I. Krasnyuk, A. V. Belyatskaya, O. I. Stepanova, I. S. Bobrov, V. G. Yankova, J. V. Rau, A. N. Vorobiev

“…The solubility of metronidazole from solid dispersions increases by 14–17% in comparison with the original substance. The complex of physical-chemical methods of the analysis, including UV spectrophotometry, microcrystalloscopy and the study of the optical properties of the obtained solutions, makes it possible to suggest the following. …”
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Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts. by Naeimeh Atabaki-Pasdar, Mattias Ohlsson, Ana Viñuela, Francesca Frau, Hugo Pomares-Millan, Mark Haid, Angus G Jones, E Louise Thomas, Robert W Koivula, Azra Kurbasic, Pascal M Mutie, Hugo Fitipaldi, Juan Fernandez, Adem Y Dawed, Giuseppe N Giordano, Ian M Forgie, Timothy J McDonald, Femke Rutters, Henna Cederberg, Elizaveta Chabanova, Matilda Dale, Federico De Masi, Cecilia Engel Thomas, Kristine H Allin, Tue H Hansen, Alison Heggie, Mun-Gwan Hong, Petra J M Elders, Gwen Kennedy, Tarja Kokkola, Helle Krogh Pedersen, Anubha Mahajan, Donna McEvoy, Francois Pattou, Violeta Raverdy, Ragna S Häussler, Sapna Sharma, Henrik S Thomsen, Jagadish Vangipurapu, Henrik Vestergaard, Leen M 't Hart, Jerzy Adamski, Petra B Musholt, Soren Brage, Søren Brunak, Emmanouil Dermitzakis, Gary Frost, Torben Hansen, Markku Laakso, Oluf Pedersen, Martin Ridderstråle, Hartmut Ruetten, Andrew T Hattersley, Mark Walker, Joline W J Beulens, Andrea Mari, Jochen M Schwenk, Ramneek Gupta, Mark I McCarthy, Ewan R Pearson, Jimmy D Bell, Imre Pavo, Paul W Franks

“…The models were trained on MRI-image-derived liver fat content (<5% or ≥5%) available for 1,514 participants. …”
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Optimizing Monkeypox Lesions Detection With a Lightweight Hybrid Model by Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Abduljabbar S. Ba Mahel, Ahmed Aziz, Mashael M. Khayyat, Ammar Muthanna

“…Although deep learning has advanced medical image analysis, diagnosing diseases with complex lesions, such as monkeypox, remains challenging in resource-limited settings. …”
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Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples by Nizom Farmonov, Susanne Walden, Eric Martinée, Christian Lampei, Mona Schreiber, Lars Opgenoorth, Anjaharinony Andry Ny Aina Rakotomalala, Tobias Müller, Nina Farwig, Stefan Pinkert, Lucy Saueressig, Annabell Rosemarie Wagner, Robert R. Junker, Jochem Verrelst, Jörg Bendix

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PROFESSIONAL AND PEDAGOGICAL COMPETENCE OF EDUCATIONAL AND METHODOLOGICAL CENTERS TEACHERS IN THE SPHERE OF CIVIL DEFENSE: STRUCTURE AND CONTENT by Demkiv Anna

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Distinguishing Healthy and Diseased Chestnuts via THz Spectroscopy and Unsupervised Learning by Martinez Anna, Di Sarno Valentina, Maddaloni Pasquale, Pagliarulo Vito, Paparo Domenico, Paturzo Melania, Rocco Alessandra, Ruocco Michelina

“…Classifying chestnuts as healthy or diseased remains a complex challenge in quality assessment. In our study, we use THz imaging to determine accurately the health status of chestnuts. …”
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Seismic Identification and Characterization of Deep Strike-Slip Faults in the Tarim Craton Basin by Fei Tian, Wenhao Zheng, Aosai Zhao, Jingyue Liu, Yunchen Liu, Hui Zhou, Wenjing Cao

“…In this study, we integrate advanced techniques such as principal component analysis and structure-oriented filtering with a fault-centric imaging approach to refine the resolution of seismic data from the Tarim craton. …”
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Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study. by Elodie Germani, Nikhil Bhagwat, Mathieu Dugré, Rémi Gau, Albert A Montillo, Kevin P Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard

“…Several neuroimaging biomarkers have been studied recently, but these are susceptible to several sources of variability related for instance to cohort selection or image analysis. In this context, an evaluation of the robustness of such biomarkers to variations in the data processing workflow is essential. …”
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Assessment of radiological signs and epidemiology of congenital heart disease among Egyptian children undergoing multi-detector computed tomography by Ayat Mousa, Mohamed Ali Salem, Rania Hegazy, Hassan Elkiki

“…Statistical data and radiological images from a 2-year study period were analyzed to determine the role of MDCT in CHD diagnosis. …”
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Loading rate, geometry, and damage state influence vertical extraction biomechanics in an ex vivo swine dental model by Timothy J. Gadzella, Karyne N. Rabey, Michael R. Doschak, Lindsey Westover, Owen Addison, Owen Addison, Dan L. Romanyk, Dan L. Romanyk

“…This study seeks to perform experimental and numerical characterization of vertical tooth extraction biomechanics in swine incisors with imposed vertical extraction loads. Imaging analysis related mechanical outcomes to tooth geometry and applied loading rate. …”
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Indium Imidazo[4,5,-<i>b</i>]porphyrins as Photocatalysts for Oxidation of Sulfides by Inna A. Abdulaeva, Mikhail A. Filatov, Azhar Kechiche, Alla Bessmertnykh-Lemeune

“…The composition and structure of the materials were studied using a combination of elemental analysis, various spectroscopic methods, gas adsorption measurements, and SEM imaging. …”
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Comparative Research in the Field of the Parametric Effect of Lubricant Cavitation Initiation and Development on Friction and Wear in Piston Ring and Cylinder Liner Assemblies by Polychronis Dellis

“…Simplification of the interface is an essential technique that enhances the researcher’s confidence in results interpretation. Engine complexity and severe oil starvation are impeding the analysis of the experimental results. …”
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The «Allegory of the Five Senses» Series from the Prado: Allegory, Garland and Synesthesia in the Works of Peter Paul Rubens and Jan Brueghel the Elder by A. J. Hu

“…The research is based on iconographic and stylistic analysis and draws on lesser-known sources, including exhibition catalogues and materials from archives. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…Our proposed model incorporates a single RNN layer, complemented by essential supporting layers, which contributes to a reduction in complexity and a decrease in the number of parameters. …”
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SFMANet: A Spatial-Frequency multi-scale attention network for stroke lesion segmentation by Hualing Li, Jianqi Wu, Yonglai Zhang, Lei Wang

“…Abstract In neuroimaging analysis, accurately delineating stroke lesion areas is crucial for assessing rehabilitation outcomes. …”
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Stereotype of crafty statistics: content, causes and consequences by Mikhail V. Karmanov

“…The conducted analysis revealed that it is due to overlay of the above factors that predetermines not only the mass character but also the resilience of this stereotype. …”
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A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance by Jalil Toosifar, Yahya Forghani, Seyyed Abed Hosseini, Nasser Shoeibi

“…Furthermore, a computational complexity analysis confirms that the proposed approach maintains a balanced trade-off between accuracy and computational efficiency compared to existing methods.…”
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FDI-VSR: Video Super-Resolution Through Frequency-Domain Integration and Dynamic Offset Estimation by Donghun Lim, Janghoon Choi

“…The increasing adoption of high-resolution imaging sensors across various fields has led to a growing demand for techniques to enhance video quality. …”
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LSTM-Based Neural Network to Recognize Human Activities Using Deep Learning Techniques by Sunitha Sabbu, Vithya Ganesan

“…Later, a comparative analysis is performed to understand the efficiencies of the models during the classification of five human activities like abuse, arrest, arson, assault, and fighting images classification. …”
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Precise and accurate speed measurements in rapidly flowing dense suspensions by Esmaeel Moghimi, Daniel L. Blair, Jeffrey S. Urbach

“…We introduce a method for precise and accurate measurements of particle speeds in dense suspensions flowing at high rates and demonstrate the utility of the approach for revealing complex flow fluctuations during shearing in a setup that combines imaging with a confocal microscope and shearing with a rheometer. …”
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