Multi-functional PGPR Serratia liquefaciens confers enhanced resistance to lead stress and bacterial blight in soybean (Glycine max L.) by Mohamed A. El-Esawi, Hayssam M. Ali, Ashraf Atef Hatamleh, Munirah Abdullah Al-Dosary, Enas M. El-Ballat

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ENERGY MANAGEMENT POLICY SELECTION IN SMART GRIDS: A CRITIC-CoCoSo METHOD WITH Lq*q -rung ORTHOPAIR MULTI-FUZZY SOFT SETS by Mahalakshmi Pethaperumal, Vimala Jayakumar, Dragan Pamucar, S Rajareega, Tamil Vizhi Mariappan

“…Extensive sensitivity analysis confirms the robustness and effectiveness of the proposed methodology, offering a promising solution for efficient energy management in modern power systems.…”
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Cost-effective medium optimization and functional enhancement of Lactiplantibacillus plantarum 22F for industrial-scale probiotic production in swine feed by Nay Zin Myo, Ratchnida Kamwa, Benjamas Khurajog, Pawiya Pupa, Wandee Sirichokchatchawan, David J. Hampson, Nuvee Prapasarakul

“…Background and Aim: Industrial-scale probiotic production requires economically viable media formulations that do not compromise strain functionality. This study aimed to develop a cost-effective medium for cultivating Lactiplantibacillus plantarum 22F (L22F), a probiotic candidate isolated from swine feces, while evaluating its industrial viability and functional metabolic profile. …”
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Cross-Modal Hashing Retrieval Based on Density Clustering by Xiaojun Qi, Xianhua Zeng, Hongmei Tang

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Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

“…The Flamelet Generated Manifold (FGM) method is widely employed in turbulent combustion simulations due to its high accuracy and computational efficiency. However, the model’s ability to capture turbulent combustion interactions is limited by the shape of the presumed probability density function (PDF) of the mixture fraction and progress variable. …”
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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

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Rapid global antenna design by simplex regressors and multi-resolution simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski, Leifur Leiffson

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Different dry-wet pulses favor different functional strategies: A test using tropical dry forest tree species. by Flor Vega-Ramos, Lucas Cifuentes, Fernando Pineda-García, Todd Dawson, Horacio Paz

“…In many terrestrial habitats, plants experience temporal heterogeneity in water availability both at the intra and inter annual scales, creating dry-wet pulse scenarios. This variability imposes two concomitant challenges for plants: surviving droughts and efficiently utilizing water when it becomes available, whose responses are closely interconnected. …”
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Structural Analysis of Multi-Core Processor and Reliability Evaluation Model by Sergo Tsiramua, Hamlet Meladze, Tinatin Davitashvili, Jose-Maria Sanchez-Sáez, Francisco Criado-Aldeanueva

“…In the present paper, the models of structural analysis and evaluation of efficiency indicators (reliability, fault tolerance, viability, and flexibility) of a multi-core processor with variable structure, equipped with multi-functional cores, are considered. …”
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Review on velocity slip with thermal features of irregular heat transport enhancement of hybrid nanofluids by Mudassar Qamar, Masood Khan, Muhammad Yasir, A.S. Shflot, M.Y. Malik

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Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…Additionally, the integration of fuzzy and stochastic elements led to a 20 . reduction in bed allocation mismatches, optimizing resource utilization across hospital departments. • Novel Integration of Lomax Distribution in FSTPWLD: Utilizes the Lomax distribution to model heavy-tailed LOS data, capturing inherent uncertainty and variability in hospital discharge times. • Optimized Decision-Making for Healthcare Management: Employs probabilistic constraints and fuzzy stochastic models to balance operational costs and patient care quality, improving resource allocation. • Validated through Simulations and Practical Scenarios: Numerical experiments highlight the model's effectiveness in reducing bottlenecks and enhancing hospital administration efficiency.…”
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Different whole body HIIT protocols do not promote different muscle thickness and functional adaptations among healthy physically active subjects by Alexandre L. Evangelista, Júlio B. B. de Camargo, Roberta L. Rica, Luiz Carlos Carnevali Júnior, Gregg S. Mallett, Valentina Bullo, Marco Bergamin, Stefano Gobbo, Danilo S. Bocalini

“…Morphological (ultrasound-derived muscle thickness of the vastus lateralis [MTVL]) and general fitness (muscle endurance and maximal oxygen consumption) assessments were performed at pre- and post-intervention moments.ResultsBoth training protocols elicited significant improvements in all dependent variables (p < 0.05), with no significant between-group differences.ConclusionRegardless of the training configuration, both WB-HIIT programs serve as time-efficient strategies to induce changes in muscle thickness of the vastus lateralis and functional adaptations in healthy, physically active young individuals.…”
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MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR CUTTING MECHANISM OF ROADHEADER BASED ON IMPROVED GENETIC ALGORITHM by MAO Jun, PAN DeWen, XIE Miao, ZHENG GuangHui

“…The comprehensive performance of cutting mechanism of roadheader is decided by cutting dust,quantity of pick consumption,specific density consumption,load fluctuation and production efficiency. This paper takes motion parameters and structure parameters of cutting mechanism for design variables and optimizes multi-objective function of comprehensive performance of cutting mechanism based on the improved genetic algorithm. …”
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Energy transfer aspects of chemically reactive Casson fluid between a conical gap of cone-disk system with multiple rotations by M. Qamar, M. Khan, A.S. Alqahtani, M.Y. Malik

“…Additionally, the magnetic field parameter shows an increasing trend for drag friction, while a reverse trend can be observed for heat transportation rate. …”
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Neural correlates of subjective cognitive decline in Alzheimer’s disease: a systematic review of structural and functional brain changes for early diagnosis and intervention by Giulia Marafioti, Laura Culicetto, Desirèe Latella, Angela Marra, Angelo Quartarone, Viviana Lo Buono

“…Dynamic functional connectivity studies report reduced brain activity efficiency, while graph theory analyses show decreased network integration. …”
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Unveiling the ecological dominance of button mangrove (Conocarpus erectus L.) through microstructural and functional traits modifications across heterogenic environmental condition... by Ummar Iqbal, Akkasha Azam, Khawaja Shafique Ahmad, Sahar Mumtaz, Ansar Mehmood, Nargis Naz, Zartasha Usman, Hina Abbas, Muhammad Akram

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Influence of heavy oil components and optimal magnetic nanocatalysts on the heavy oil upgrading by microwave-assisted by Parya Torkaman, Ramin Karimzadeh, Arezou Jafari

“…It indicates a slight loss in efficiency due to aggregation or degradation.…”
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Transient decline and early recovery of noninvasive myocardial work after kidney transplantation: a prospective study by Yulin Huang, Lin Jin, Xinyan Qiu, Canying Yang, Luyi Ping, Zhengyao Jiang, Hua Zou, Zhihong Zhang, Jiwei Wang

“…NIMW parameters include global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE).Results 1) Renal function indicators, including blood urea nitrogen, serum creatinine, and estimated glomerular filtration rate improved significantly at 10 days post-KT. …”
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Dynamic Response Analysis of Asphalt Pavement under Pavement-Unevenness Excitation by Heng Liu, Xiaoge Liu, Ankang Wei, Yingchun Cai

“…This paper investigates and analyzes the dynamic response of asphalt pavement under pavement-unevenness excitation based on an orthogonal vector function system and efficient DVP (dual variable and position) method. …”
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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

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