Unraveling volatile metabolites in pigmented onion (Allium cepa L.) bulbs through HS-SPME/GC–MS-based metabolomics and machine learning by Kaiqi Cheng, Kaiqi Cheng, Jingzhe Xiao, Jingyuan He, Rongguang Yang, Jinjin Pei, Jinjin Pei, Wengang Jin, Wengang Jin, A. M. Abd El-Aty, A. M. Abd El-Aty

“…Multivariate statistical analyses, feature selection techniques (SelectKBest, LASSO), and machine learning models were applied to further analyze and classify the metabolite profiles.ResultsSignificant differences in phytochemical composition and antioxidant activities were observed among the three onion types. …”
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The development of pancreatic cancer is accompanied by significant changes in the immune response in genetically predisposed mice by Urszula Daniluk, Agnieszka Świdnicka-Siergiejko, Jarosław Daniluk, Małgorzata Rusak, Milena Dąbrowska, Katarzyna Guzińska-Ustymowicz, Anna Pryczynicz, Andrzej Dąbrowski

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Level Characteristics of Foreign Language Communicative Competence Development of Students for Technical Specialties by Anastasiia Ptushka

“…Taking into account the characteristics of the component composition of foreign language communicative competence, the experience of developing new control models, it is possible to single out the parameters and criteria necessary for assessing the level of foreign language communicative competence development of students. …”
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Geoelectrical Characterization of Sedimentary Landslides in the Laguna Del Amor Area, Chota-Cajamarca (Peru) by Arturo Zevallos, Julio Torres, Cristian Segura, Javier Carrasco, Pedro Carrasco

“…The main objective was to identify key static factors related to landslide susceptibility, including slope angle, soil composition, and groundwater flow, prioritizing the areas affected by landslides. …”
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A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

“…Instruction tuning plays a pivotal role in aligning large language models with diverse tasks, yet its effectiveness hinges on the interplay of data quality, domain composition, and training strategies. …”
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Analysis of Illumination Generated by LED Matrices Distribution by P. S. Bogdan, E. G. Zaytseva, P. O. Baranov, A. I. Stepanenko

“…The possibility of using well-known computer programs to calculate the distribution of illumination in the room is analyzed.A method has been developed for calculating the distribution of illumination on a plane using both a flat LED matrix and a matrix with an inclined arrangement of the planes of individual LEDs. …”
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Habitat Characteristics and the Species Response of Astragalus curvirostris Boiss. to the Environmental Factors in Lorestan Rangelands by Reza Siahmansour, Nadia Kamali, Hamid Reza Mirdavoodi, Javad Motamedi

“…The generalized additive model is a simple method for investigating species' reactions to environmental variables, and the results can be easily interpreted. …”
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Construction of research feedback experimental teaching mode for medical undergraduate students and comparative study with traditional experimental teaching mode by Chenggui Miao, Yurong Huang, Qiangjun Duan, Yanmei Mao, Jiaqing Chen, Yanping Li, Aixin Xia, Yinqiu Song, Bing Wang

“…Regarding the existing issues, we constructed the research feedback experimental teaching model (RFETM) and evaluated its teaching effectiveness. …”
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Predicting cellular responses to complex perturbations in high‐throughput screens by Mohammad Lotfollahi, Anna Klimovskaia Susmelj, Carlo De Donno, Leon Hetzel, Yuge Ji, Ignacio L Ibarra, Sanjay R Srivatsan, Mohsen Naghipourfar, Riza M Daza, Beth Martin, Jay Shendure, Jose L McFaline‐Figueroa, Pierre Boyeau, F Alexander Wolf, Nafissa Yakubova, Stephan Günnemann, Cole Trapnell, David Lopez‐Paz, Fabian J Theis

“…Here, we present the compositional perturbation autoencoder (CPA), which combines the interpretability of linear models with the flexibility of deep‐learning approaches for single‐cell response modeling. …”
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Response of Soil Respiration to Snowfall in a Kubuqi Salix Plantation Forest of During Freeze-thaw Period by WANG Jixuan, LAN Xiaozhen, PEI Zhiyong, ZHANG Junyao, WANG Xinping, LI Ying, WANG Haichao, SUN Xiaotian, SUN Kai

“…The two-factor composite model of soil temperature and moisture explained soil respiration better than the single factor model, and it explained 81% of the variation in soil respiration. …”
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A New Genre of Digital Texts That Explore Children’s Frame of Mind, Health Literacy Skills, and Behavioral Intentions for Obesity Prevention by Valerie A. Ubbes

“…The Habits of Health and Habits of Mind© model was used to write Electronic Texts for Health Literacy© to encourage actions that support obesity prevention. …”
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Promoting tactical-technical actions during small-sided soccer games: A narrative review on constraints’ manipulation within ecological teaching models (Promoción de acciones técn... by Eduardo de Paula Amorim Borges, Gibson Moreira Praça, Lucas Savassi Figueiredo, Carlos Alexandre Vieira, Gustavo De Conti Teixeira Costa

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Computation of mode I Strain Energy Release Rate of symmetrical and asymmetrical sandwich structures using mixed finite element by Mohamed Ben Ali Amina, Bouziane Salah

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Analysis of thermal stability of the internal structure of Ag-Cu nanoparticles by A.A. Cherepovskaya, S.L. Gafner, Yu.Ya. Gafner, D.A. Ryzhkova

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Quantum chemical simulation of acid-base properties of the surface of SnO₂ nanoparticles by O. V. Filonenko, A. G. Grebenyuk, M. I. Terebinska, V. V. Lobanov

“…Dependent on the composition of the models, the coordination number of the tin atom varied from 4 to 6, and that of oxygen was 2 or 3. …”
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Quantitative evaluation of brittleness of deep shale gas reservoirs of Wufeng- Longmaxi formations in Lintanchang area, southeastern Sichuan Basin by Shaoke FENG, Liang XIONG, Shuai YIN, Xiaoxia DONG, Limin WEI

“…Based on the shale characteristics of mineral composition, triaxial rock mechanics, and fracture toughness, a deep learning weight analysis model was developed using brittleness indices Bel and Bmine3 and fracture toughness index IKIC as data inputs.The cumulative risk value was less than 5, indicating the high reliability of the model.A comprehensive brittleness index B was established based on the model, and its correlation with the measured brittleness index BS of core samples was significantly improved (R=0.852 7). …”
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IDENTIFICATION OF THE FEATURES OF THE INFLUENCE OF HETEROGENEOUS-VELOCITY GROUND LAYERS ON LARGE-EARTHQUAKE EFFECTS IN THE MONGOLIAN-SIBERIAN REGION by V. I. Dzhurik, E. V. Bryzhak, S. P. Serebrennikov, A. A. Kakourova

“…The authors also took into account the available general dataset on the change in seismic wave velocities with depth for the most common types of loose unsaturated grounds to a few hundred meters and for the bedrock to the probable depth of earthquake occurrence. The constructed models are characterized by layer thickness, change in longitudinal and transverse wave velocities with depth, volumetric mass, and attenuation decrement.The results of theoretical calculations for the features of the influence of heterogenous-velocity ground layers on the amplitude and frequency composition of the assigned initial signals are presented as the parameters of seismic effects (maximum accelerations, predominant ground motions frequencies and their corresponding amplitude level, resonant frequencies and accompanying ground motions amplification values) for seismic probability models developed based on the calculated accelerograms, spectra, and frequency characteristics.…”
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Effect of best bet methane abatement feed on feed intake, digestibility, live weight change, and methane emission in local Menz breed sheep in Ethiopia by Wondimagegne Bekele, Wondimagegne Bekele, Abiy Zegeye, Addis Simachew, Nobuyuki Kobayashi, Nobuyuki Kobayashi

“…The control group emitted 808.7 and 825.3 g of CH4, while the Ziziphus group emitted 220 and 265.3 g of CH4 per kg of ADG using the Modeling and LMD methods, respectively. This study indicates that LMD could yield biologically plausible data for sheep. …”
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Structure, thermoelectric and mechanical properties of spark plasma extruded bismuth and antimony chalcogenide based solid solutions by M.G. Lavrentev, N.Yu. Tabachkova, V.P. Panchenko, M.V. Voronov, A.I. Prostomolotov, N.A. Verezub, Yu.N. Parkhomenko, A.S. Prosviryakov

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Transfer learning for predicting source terms of principal component transport in chemically reactive flow by Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil

“…To this end, a novel transfer learning method is introduced, Parameter control via Partial Initialization and Regularization (PaPIR), whereby the amount of knowledge transferred is systemically adjusted in terms of the initialization and regularization schemes of the ANN model in the target task.…”
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