Analysis of Differences in Volatile Components of Five Lauraceae Plants From Different Genera Based on HS-SPME-GC-MS by Zhengjiu Wang, Hao Liu, Anping Liu, Peng Liu, Jiuyang Zhao, Shaoli Fan, Jinhui Wang, Bahetiyar Keremu, Lu Yang, Le Li

“…Lauraceae plants are diverse in species and rich in volatile components, which possess functions such as insect repellency, antioxidant activity, and antibacterial properties. …”
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The small RNA complement of adult Schistosoma haematobium. by Andreas J Stroehlein, Neil D Young, Pasi K Korhonen, Ross S Hall, Aaron R Jex, Bonnie L Webster, David Rollinson, Paul J Brindley, Robin B Gasser

“…Of the sncRNAs that were not miRNAs, some related to the spliceosome (n = 21), biogenesis of other RNAs (n = 3) or ribozyme functions (n = 16), whereas most others (n = 3798) were novel ('orphans') with unknown functions.…”
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Exome analysis reveals species divergence in TYR and identifies species genetic markers in five endemic Macaca species on Sulawesi Island by Xiaochan Yan, Nami Arakawa, Kanthi Arum Widayati, Laurentia Henrieta Permita Sari Purba, Fahri Fahri, Bambang Suryobroto, Yohey Terai, Hiroo Imai

“…Additionally, it explores how these genetic differences influence biological functions, and identifies species-specific genetic markers for species identification and conservation. …”
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Radiation diagnostics of the state of ventilation and pulmonary circulation in patients with COPD by O. S. Sementsov, S. V. Stepanenko

“…Also a promising area is the use of functional CT (inspiratory-expiratory CT) - which should improve the assessment of respiratory function, including early detection of patients with COPD, which will promote the in time start of specific treatment, reduce episodes of exacerbations during the disease, assess the dynamics of the pathological process and the effectiveness of treatment, as well as improving the prognosis of work and life expectancy of patients. …”
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The burden of intracerebral hemorrhage attributable to ambient particulate matter pollution in five Asian countries: a 32-year comparative analysis by Rui Yang, Xingke Wang, Panpan Hao

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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Accurately determining the exposure time to an infectious pathogen, together with the corresponding incubation period, is vital for identifying infection sources and implementing targeted public health interventions. …”
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Double-moment normalization of hail size number distributions over Switzerland by A. Ferrone, J. Kopp, M. Lainer, M. Gabella, U. Germann, A. Berne

“…Thanks to its invariance in space and time, a generalized gamma function is used to model the normalized distribution, and its parameters have been determined through a fit over approximately 70 % of the events. …”
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Machine learning models for clinical and structural knee osteoarthritis prediction: Recent advancements and future directions by Gabby B. Joseph, Charles E. McCulloch, Michael C. Nevitt, Nancy E. Lane, Sharmila Majumdar, Thomas M. Link

“…These evolving strategies underscore the growing potential of ML to improve the detection of early OA, individualized risk stratification, and personalized interventions in OA clinical care.…”
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INFORMATIONAL-ANALYTIC MODEL OF REGIONAL PROJECT PORTFOLIO FORMING by I. A. Osaulenko

“…The Triple Helix conception using for concrete definition of the functions of the regional development’s motive forces. …”
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Comparison of Two System Identification Approaches for a Four-Wheel Differential Robot Based on Velocity Command Execution by Diego Guffanti, Moisés Filiberto Mora Murillo, Marco Alejandro Hinojosa, Santiago Bustamante Sanchez, Javier Oswaldo Obregón Gutiérrez, Nelson Gutiérrez, Miguel Sánchez

“…These results demonstrate the relationship between model complexity and accuracy and suggest that the motor-specific model is more appropriate for applications requiring precise mapping or localization, such as SLAM, while the simplified model may be suitable for simpler use cases with lower computational requirements, such as embedded systems with limited resources. This paper provides a practical evaluation of the accuracy and computational performance of two modeling approaches, highlighting the implications of model selection for the design of navigation tasks.…”
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Identification of Keystone Plant Species for Avian Foraging and Nesting in Beijing’s Forest Ecosystems: Implications for Urban Forest Bird Conservation by Lele Lin, Yongjian Zhao, Chao Yuan, Yushu Zhang, Siyu Qiu, Jixin Cao

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Facies-Controlled Modeling for Permeability of Tight Gas Reservoir Based on Hydrodynamic and Geophysics Characteristics by Peng Yu

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Load balancing method of service cluster based on mean-variance by Xiaoan BAO, Xue WEI, Lei CHEN, Guoheng HU, Na ZHANG

“…When a large number of concurrent requests are allocated,the load scheduling mechanism is to achieve the load balancing of nodes in the network by minimizing the response time and maximizing the utilization ratio of nodes.In the load balancing algorithm based on genetic algorithm,the fitness function is designed to have an important influence on the load balancing efficiency.A service cluster load balancing method based on mean-variance was proposed to optimize the fitness function.The investment portfolio selection model mean-variance was used to minimize the response time,which was used to get the weight of each server's resource utilization,so as to obtain the optimal allocation combination.This method improves the accuracy and efficiency of the fitness function.Compared with other models in different service environment,the simulation results show that the load balancing algorithm makes the service cluster get a better balance performance in terms of node utilization and response time.…”
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Livestock Production Challenges and Improved Forage Production Efforts in the Damot Gale District of Wolaita Zone, Ethiopia by Shimelis Mengistu, Ajebu Nurfeta, Adugna Tolera, Melkamu Bezabih, Abera Adie, Endalkachew Wolde-meskel, Mesfin Zenebe

“…These forages are produced for the purpose of two or more functions (feed, cash, and preventing erosion) that vary (p ≤ 0.01) among intervention status. …”
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Building the optimal hybrid spatial Data-Driven Model: Balancing accuracy and complexity by Emanuele Barca, Maria Clementina Caputo, Rita Masciale

“…This methodology profiles the model that better adapts to the data, aiding in the selection of the simplest model that achieves the desired accuracy, functioning similarly to a recommender system for model selection. …”
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Pathway for Renewable Energy Application in Urban Green Space under the Low Carbon Perspective by Kailun WANG, Tonggang NIU, Lian LIU, Zhongjie WANG

“…The research provides a detailed analysis of energy application types and methods, as well as energy consumption models for each of the aforesaid three types of green spaces.ResultsThe research identifies three core challenges in the application of renewable energy in urban green spaces: 1) How to scientifically select the most appropriate renewable energy types and optimize spatial layouts in accordance with natural resource constraints and the functional requirements of green spaces in order to improve energy efficiency; 2) how to effectively integrate the technical functions of energy facilities with landscape and ecological values, so as to achieve a seamless integration of energy infrastructure with landscape, thereby enhancing both environmental adaptability and public acceptance; and 3) how to develop flexible energy utilization and management strategies tailored to the energy consumption characteristics of different green space types, thus ensuring long-term, stable, and sustainable energy supply. …”
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Near-infrared spectroscopy of the cerebellum in motor activation tasks by Yew Long Lo, Gerald Teck Heng Chia, Yan Teng Celeste Chen, Eng King Tan

“…Protocol 1 consisted of 5 optodes (4 sources and 1 detector, 4 recording channels) spaced 3 cm apart and comprising single-tipped LED light sources in conjunction with single-tipped fiber-optic detectors. …”
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New Rotation Periods from the Kepler Bonus Background Light Curves by Zachary R. Claytor, Jamie Tayar

“…However, due to Kepler’s large 4″ pixels, many of its light curves are at high risk of contamination from background sources. The new Kepler Bonus Background light curves are deblended using a point-spread function algorithm, providing light curves of over 400,000 new background sources in addition to over 200,000 reanalyzed Kepler prime targets. …”
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Mitochondrial genome assembly of the Chinese endemic species of Camellia luteoflora and revealing its repetitive sequence mediated recombination, codon preferences and MTPTs by Xu Xiao, Zhaohui Ran, Chao Yan, Weihao Gu, Zhi Li

“…Phylogenetic reconstruction using mitochondrial PCGs positioned C. luteoflora in closest evolutionary proximity to Camellia sinensis var. sinensis. Selection pressure analysis (Ka/Ks ratios < 1 for 11 PCGs) and nucleotide diversity assessment (Pi values: 0–0.00711) indicated strong purifying selection and low sequence divergence.This study provides the first comprehensive mitochondrial genomic resource for C. luteoflora, offering critical insights for germplasm conservation, comparative organelle genomics, phylogenetic resolution, and evolutionary adaptation studies in Camellia species.…”
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