Genome‐Wide Association Studies Reveal the Genetic Architecture of Ionomic Variation in Grains of Tartary Buckwheat by Zhirong Wang, Yuqi He, Mengyu Zhao, Xiang‐Qian Liu, Hao Lin, Yaliang Shi, Kaixuan Zhang, Guijie Lei, Dili Lai, Tong Liu, Xiaoyang Peng, Jiayue He, Wei Li, Xiangru Wang, Sun‐Hee Woo, Muriel Quinet, Alisdair R. Fernie, Xin‐Yuan Huang, Meiliang Zhou

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Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction. by Takeshi Matsui, Ian M Ehrenreich

“…To shed light on this problem, we genetically dissected an environment-specific poor growth phenotype in a cross of two budding yeast strains. This phenotype is detectable when certain segregants are grown on ethanol at 37°C ('E37'), a condition that differs from the standard culturing environment in both its carbon source (ethanol as opposed to glucose) and temperature (37°C as opposed to 30°C). …”
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A Preliminary Investigation into Heavy Metal Tolerance in <i>Pseudomonas</i> Isolates: Does the Isolation Site Have an Effect? by Alessandro De Santis, Antonio Bevilacqua, Angela Racioppo, Barbara Speranza, Maria Rosaria Corbo, Clelia Altieri, Milena Sinigaglia

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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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GENERATION AND COLLECTION OF TOBACCO AEROSOL FOR SHISHA by N. N. Bubnova, M. V. Shkidyuk

“…Qualitative characteristics of tobacco aerosol for shisha are determined by the functional purpose and depend on the component composition of the tobacco mixture and the coal used.The purpose of the research is to develop a methodology for the comprehensive assessment of tobacco for shisha based on modern methods of product quality control and includes the following steps:- monitoring of the studies to determine the component composition of the hookah mixture and the aerosol produced;- analysis of hookah mixture testing modes and development of an aerosol generation protocol;- development of a method for collecting aerosol on a laboratory smoking machine; - quantitative analysis of toxic analytes by HPLC MS / MS method.Methods have been developed for the machine generation and collection of tobacco aerosol for hookah, taking into account low concentrations of the analyzed toxic substances.The expediency of using the HPLC MS / MS method to determine the quantity of the following substances in tobacco aerosol for shisha has been substantiated:- carbonyl compounds (formaldehyde, acetaldehyde, acrolein) by detection on an electrospray source in the negative polarity mode- tobacco specific nitrosoamines (NNN and NNK) by detection on an electrospray source in the positive polarity mode.During the research laboratory and analytical equipment was used: a five-channel linear CERULEAN SM 405 smoking machine; Thermo Scientific Dionex UltiMate 3000 liquid chromatograph and TSQ Quantiva mass spectrometer.Obtaining experimental data on the quantitative determination of the component composition of the aerosol produced by tobacco for shisha using hookah systems is relevant for assessing toxic characteristics of the product.…”
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Principles for determining effective parameters for organizing train traffic in suburban-urban traffic, taking into account the differentiation of service classes by A. F. Borodin, I. F. Mustafin, K. Yu. Nikolaev

“…Relevant constraints for the task, due to the resources of the railway infrastructure and rolling stock, have been determined. …”
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Optimal Dispatch of Power System with P2G-Wind-Thermal-Nuclear-Carbon Capture Units by Wenhao CHAO, Zhi YUAN, Ji LI

“…Finally, the minimization of system comprehensive operation costs is selected as the overall objective function. At the same time, the carbon trading mechanism is considered to build the simulation model on the Matlab platform to verify the effectiveness of the proposed model. …”
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Correction of Disturbances Influence on Results of Elongated Objects's Probe Microscopy Using Predictive Relief Estimates by P. V. Gulyaev

“…The formation of predictive images enhances the sharpness of objects and increases the probability of their correct selection using methods based on the analysis of changes in the brightness function.…”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

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CSCA-YOLOv8: A lightweight network model for evaluating drought resistance in mung bean. by Dongshan Jiang, Jinyang Liu, Haomiao Zhang, Wenxiang Liang, Ziqiu Luo, Wenlong An, Shicong Li, Xin Chen, Xingxing Yuan, Shangbing Gao

“…Finally, the SIoU loss function is used to replace CIoU to accelerate the convergence of the model. …”
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The Transjugular Intrahepatic Portosystemic Shunt in the Treatment of Portal Hypertension: Current Status by Gilles Pomier-Layrargues, Louis Bouchard, Michel Lafortune, Julien Bissonnette, Dave Guérette, Pierre Perreault

“…The role of TIPS to treat refractory ascites is probably more justified to improve the quality of life rather than to improve survival, except for patients with preserved liver function. It can be helpful for hepatic hydrothorax and can reverse hepatorenal syndrome in selected cases. …”
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Therapeutic Strategies for Dry Mouth Management with Emphasis on Electrostimulation as a Treatment Option by Amela Tulek, Aida Mulic, Martine Hogset, Tor Paaske Utheim, Amer Sehic

“…The aim of this study was to give an overview of the latest and most relevant data related to treatment modalities for the management of dry mouth conditions. Data Resources and Study Selection. The present review was prepared by searching the National Library of Medicine database using the relevant medical terms and their combinations. …”
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Investigating the AGN-neutrino connection with public IceCube data by Kuhlmann Julian, Capel Francesca

“…We present the first application of a newly developed hierarchical Bayesian analysis framework for the detection of point-like sources of high-energy neutrinos. …”
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Laboratory markers of metabolic syndrome by Filipa Morgado, Ana Valado, João Metello, Leonel Pereira

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A new hybrid distance and similarity based scenario reduction approach for stochastic economic operation of microgrid by Gaurav Gangil, Amit Saraswat, Sunil Kumar Goyal

“…This stochastic model is aimed at generating the optimum schedules for various dispatchable generating resources such as micro-turbines, fuel cells, utility grid, energy storage devices as per the availability of the various VRE resources to meet the uncertain demand for a day-to-day microgrid operation. …”
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Metric learning unveiling disparities: A novel approach to recognize false trigger images in wildlife monitoring by Rui Zhu, Enting Zhao, Chunhe Hu, Jiangjian Xie, Junguo Zhang, Huijian Hu

“…By integrating K-means clustering for sample selection and a triplet loss function for model optimization, the approach effectively distinguishes subtle feature differences in false-triggered images. …”
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Stochasticity-dominated rare fungal endophytes contribute to coexistence stability and saponin accumulation in Panax species by Ye Liu, Liping Shi, Fei Hong, Guangfei Wei, Zhenzhen Jiang, Xiuye Wei, Jingjing Peng, Guozhuang Zhang, Linlin Dong

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IndoHerb: Indonesia medicinal plants recognition using transfer learning and deep learning by Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman, Ahmad Hoirul Basori, Andi Besse Firdausiah Mansur, Jati Batoro

“…The rich diversity of herbal plants in Indonesia holds immense potential as alternative resources for traditional healing and ethnobotanical practices. …”
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Tailoring Fumaric Acid Delivery: The Role of Surfactant-Enhanced Solid Lipid Microparticles via Spray-Congealing by Yen-Chiu Tsai, Ling Chen, Maoshen Chen, Yun Ma, Fang Zhong, Fei Liu

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Application of the implementation research logic model for evaluating a framework for disseminating arthritis-appropriate evidence-based interventions by K. L. Carluzzo, L. E. Bernstein, J. Chevan, E. Erck, H. Murphy, T. Radske-Suchan, B. Engebretsen, K. E. Schifferdecker

“…In this Framework, the clinic engages patients in screening (based on physical activity, physical function, and pain), counseling (regarding benefits of physical activity), and referral to community care hubs. …”
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