Unlocking Pinus ponderosa (Douglas ex C. Lawson) potential: a comprehensive review of results from native and introduced areas by Karol Tomczak, Karol Tomczak, Karol Tomczak, Zdeněk Vacek, Jan Cukor, Jan Cukor, Stanislav Vacek, Václav Bažant, Aleš Zeidler, Václav Trojan, Josef Gallo, Jakub Černý

“…We reviewed 229 research sources to analyze P. ponderosa’s potential for utilization in new areas. …”
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Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

“…In addition, we integrated emissions control, UAV control efforts, and UAV location error in our cost function. Finally, we evaluated our approach using simulation experiments with methane diffusion and multiple methane emission sources in the time and space domain, respectively. …”
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Principles of carbon catabolite repression in the rice blast fungus: Tps1, Nmr1-3, and a MATE-family pump regulate glucose metabolism during infection. by Jessie Fernandez, Janet D Wright, David Hartline, Cristian F Quispe, Nandakumar Madayiputhiya, Richard A Wilson

“…Carbon catabolite repression (CCR) is a global regulatory mechanism found in a wide range of microbial organisms that ensures the preferential utilization of glucose over less favourable carbon sources, but little is known about the components of CCR in filamentous fungi. …”
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Large language models open new way of AI-assisted molecule design for chemists by Shoichi Ishida, Tomohiro Sato, Teruki Honma, Kei Terayama

“…Scientific contribution ChatChemTS is an open-source application that assists users in utilizing an AI-based molecule generator, ChemTSv2, solely through chat interactions. …”
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Identification and characterization of the powdery mildew resistance in cultivated emmer wheat accession Lxd-682 via bulked segregant RNA sequencing by Jiatong Li, Ningning Yu, Nina Sun, Lige Geng, Yanmin Qie, Dongfeng Zhai, Yuxiang Wang, Linzhi Li, Xueqing Liu, Xusheng Sun, Jiangchun Wang, Ruishan Liu, Guantong Pan, Shengmao Zou, Guohao Han, Yuli Jin, Pengtao Ma

“…Abstract Background Common wheat (Triticum aestivum L.) is a vital source of nutrition for human consumption. However, wheat production is significantly threatened by various diseases, such as powdery mildew, a widespread fungal disease caused by Blumeria graminis f. sp. tritici (Bgt). …”
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Optimal Dispatch of Power System with P2G-Wind-Thermal-Nuclear-Carbon Capture Units by Wenhao CHAO, Zhi YUAN, Ji LI

“…The results show that compared with the multi -source combination system of fixed peak-module gears, the proposed multi-source combined system operation mode can ensure the safe and stable operation of the nuclear power unit while achieving WPG utilization. …”
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Synergistic co-metabolism enhancing the crude oil degradation by Acinetobacter oleivorans DR1 and its metabolic potential by Lairenjam Paikhomba Singha, Renuka Kumari, Keisam Malabika Singha, Piyush Pandey, Pratyoosh Shukla

“…This demonstrated that glucose may not be the preferred carbon and energy source, but it still significantly influences hydrocarbon metabolism through increased synthesis of fatty acids and low molecular weight organic acids (glutaric, citric, and tartaric acid, etc.). …”
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The conflict between oral health and patient autonomy in dentistry: a scoping review by Szilárd Dávid Kovács, Anggi Septia Irawan, Szilvia Zörgő, József Kovács

“…Two researchers developed a hierarchical coding scheme, where the parent and grandparent codes were designated deductively as: Case (situations involving the researched ethical dilemma), Judgement (decisions made in the ethical dilemma), and Principle (ideas, rules, propositions explaining the judgements); child codes were developed inductively. After coding the sources, we utilized thematic analysis to construct code constellations. …”
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Typologation and Analysis of the Significance of Risks and Threats to the Energy Security of the Republic of Belarus Taking into Account the Integration of Belarusian NPP in the E... by T. G. Zoryna, V. V. Panasyuk, S. G. Prusov

“…It was determined that the most significant production risks are: depreciation of fixed assets; reduction in the utilization of own generating capacities and reliability of the generating equipment and network; outages that lead to disruption of the functioning of facilities for ensuring the vital activity of the population. …”
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A Comparative Study of Banking Sectors of Pakistan and India: An Application of Data Envelopment Analysis by Aamir Shahzad, Tahir Mahmood, Mehwish Shahzad

“… The main aim of this paper is to investigate the efficiency, change in productivity, and the sources of efficiency in the commercial banking sector of Pakistan and India. …”
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240 An environmental scan of translational science storytelling in a Clinical Translational Science Award Hub by Boris Volkov, Martin-Gatton Jennifer Cieslak

“…We triangulated data from diverse data sources: grant applications, reports, and publications; public stories/news related to CTSI activities and impact; scientific publications; organizational/policy documents; and interviews with CTSI stakeholders featured in published sources. …”
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Multi-route method of work organization for transport vehicles by Sergei A. Azemsha

“…Methods of analysis and generalization of literary sources, the principles of graph theory, formalization and mathematical formulation of the objective function and constraints were used while writing.Conclusions. …”
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A comprehensive review on production, surface modification and characterization of nanocellulose derived from biomass and its commercial applications by R. Kumar, B. Rai, S. Gahlyan, G. Kumar

“…However, the hydrophilic nature of nanocellulose restricted its utilization in various applications, but the presence of a functional group on its surface provides a platform for surface modification through various techniques. …”
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L.S. Vygotsky on Giftedness as “A Higher Order Formation” by E.P. Fedorova

“…This article emphasizes the importance of utilizing these archival sources for contemporary research on the issue of giftedness. …”
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Large Language Model-Guided SARSA Algorithm for Dynamic Task Scheduling in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…Among all challenges, task scheduling is one of the main problems as it reduces system performance due to improper utilization of resources. State Action Reward Action (SARSA) learning, a policy variant of Q learning, which learns the value function based on the current policy action, has been utilized in task scheduling. …”
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Distributionally robust optimal scheduling of flexible distribution networks considering dynamic spatio-temporal correlation of renewable energy by Shunxiang Yu, Xiaoming Dong, Chengfu Wang, Tianguang Lu

“…By utilizing the 1-norm and ∞-norm to characterize the uncertainty sets between sources and loads, this strategy effectively minimizes operational costs while ensuring robust performance. …”
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Hierarchical Game Approach for Optimization of Regional Integrated Energy System Clusters Considering Bounded Rationality by Lei Dong, Mengting Li, Junjie Hu, Sheng Chen, Tao Zhang, Xinying Wang, Tianjiao Pu

“…Regional integrated energy system (RIES) cluster, i.e., multi-source integration and multi-region coordination, is an effective approach for increasing energy utilization efficiency. …”
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Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI by Satyabrata Pattanayak, Tripty Singh, Rishabh Kumar

“…To optimize the model’s performance, we experimented with different combinations of loss functions, optimizer functions, and activation functions. …”
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Revolutionizing bioenergy: the microalgae-microbial fuel cell frontier by Osman Adil M., Abdurahman Nour Hamid, Noormazlinah Ahmad

“…M-MFC relies on microorganisms to convert chemical energy, utilizing components readily available in wastewater, making it a sustainable energy source with considerable potential. …”
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Prediction of Water Quality in Agricultural Watersheds Based on VMD-GA-LSTM Model by Yuxuan Luo, Xianglan Meng, Yutong Zhai, Dongqing Zhang, Kaiping Ma

“…The VMD-GA-LSTM model utilizes the variational mode decomposition technique to decompose the time series data into multiple intrinsic mode functions and then uses the optimized LSTM network to predict each component to improve the accuracy of water quality prediction. …”
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