Laplace transformation technique for free convective time-dependent MHD flow over a vertical porous flat plate with heat sink and chemical reaction: An analytical approach by T. Pradhan, S. Jena, S.R. Mishra

“…The speciality of the problem is the plate condition which is time-dependent which uses Heaviside function. Depending upon the suitable conditions the results of the profiles are presented considering the values of the values of the corresponding factors involved and the physical behavior of each of the factors are elaborated briefly. …”
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Metagenomic Analysis Reveals the Effects of Microplastics on Antibiotic Resistance Genes in Sludge Anaerobic Digestion by Zhonghong Li, Donghai Yuan

“…Sewage sludge is recognized as both a source and a reservoir for antibiotic resistance genes (ARGs). …”
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Reconstructing the Economy: A Methodological Journey from the Surface to the Essence and Back by Peter Karl Fleissner

“…While mainstream econ- omists abstract from any links of the economy to human beings - replacing them by selfish machines maximizing their prof- its or individual utilities, and neglecting any deeper analysis of the basic constructions they use (like prices or money), heterodox economists try to look behind the surface, link them to certain periods of history and to the source of all value: humans are social beings and cannot exist without mutuality. …”
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ToMCCA: a Toy Monte Carlo Coalescence Afterburner by Maximilian Mahlein, Chiara Pinto, Laura Fabbietti

“…This model can also be extended to heavier nuclei as long as the target nucleus wavefunction and its Wigner function are known.…”
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Copper Poisoning with Emphasis on Its Clinical Manifestations and Treatment of Intoxication by Mehrdad Rafati Rahimzadeh, Mehravar Rafati Rahimzadeh, Sohrab Kazemi, Ali Akbar Moghadamnia

“…It plays a crucial role in the integrity and function of proteins and enzymes. Short-term and long-term exposure to copper can result in harmful effects and lead to clinical manifestations in multiple bodily systems, including the gastrointestinal tract, liver, kidneys, eyes, respiratory, cardiovascular, central nervous, endocrine, and hematopoietic systems. …”
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Enhancing grid frequency regulation in low inertia modern multi‐area power systems using cascaded non‐integer control approaches with BESS‐based virtual inertia by Tushar Kanti Roy, Amanullah Maung Than Oo

“…To counter this, a virtual inertia and damping controller utilizing battery energy storage, leveraging the virtual synchronous generator concept is proposed in this paper. …”
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MIC: A deep learning tool for assigning ions and waters in cryo-EM and crystal structures by Laura Shub, Wenjin Liu, Georgios Skiniotis, Michael J. Keiser, Michael J. Robertson

“…Correct classification of these sites provides crucial insight for understanding structure and function as well as guiding downstream design tasks, including structure-based drug discovery and de novo biomolecule design. …”
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Computational approach in obtaining analytic solutions of a generalized nonlinear breaking soliton equation with applications in engineering and physics by Oke Davies Adeyemo, Chaudry Masood Khalique

“…Higher-order nonlinear wave models have been a source of attraction to a huge number of researchers in recent times as a result of their significance in mathematical physics, other nonlinear sciences as well as engineering. …”
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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…Furthermore, HD-6mAPred not only improves the accuracy of 6mA site prediction, but also shows excellent generalization capability across species. The source code utilized in this study is publicly accessible at https://doi.org/10.5281/zenodo.15355131.…”
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Multipath2.0: Extending Multilayer Reproducible Pathway Models with Omics Data by Zaynab Hammoud, Mohammad Al Maaz, Alicia D'Angelo, Frank Kramer

“…Although the model showed remarkable utility, including further data sources ensures enriching and expanding its capabilities. …”
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Integration of Deep Learning Neural Networks and Feature-Extracted Approach for Estimating Future Regional Precipitation by Shiu-Shin Lin, Kai-Yang Zhu, He-Yang Huang

“…This study proposes a deep neural network (DNN) as a downscaling framework with nonlinear features extracted by kernel principal component analysis (KPCA). KPCA utilizes kernel functions to extract nonlinear features from the source climatic data, reducing dimensionality and denoising. …”
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A comprehensive review of tree cover mapping using satellite sensor data by Md. Shamim Reza Saimun, M. Mahmudur Rahman

“…Abstract Trees serve manifold ecosystem functions including climate change mitigation, biodiversity conservation, landscape restoration etc. yet are facing threats globally due to human intervention. …”
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Whole genome analysis of 26 bacterial strains reveals aromatic and hydrocarbon degrading enzymes from diverse environmental soil samples by Md Shakhawat Hossain, Brian Iken, Rupa Iyer

“…However, native microbial communities can adapt to these toxic pollutants, utilize these compounds as a carbon source, and eventually evolve to degrade these toxic contaminants. …”
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Conservation Voltage Reduction Strategy for Autonomous Microgrid with Improved Voltage-CurrentDroop-Based Inverter Control Framework by Sumit Kumar Jha, Deepak Kumar, S. R. Samantaray

“…In this paper, the voltage-current droop method is utilized to carry out the function of DSM, and a modified droop computation method for voltage-current droop is formulated to determine the impedance from initial of the DG point to the downstream end for multifeeder network. …”
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RpoN1 (sigma factor 54) contributes to the virulence of Paracidovorax citrulli by regulating the expression of type IV pili PilA by Minghui Sun, Yuqiang Zhao, Liuyang Zhao, Jun Wang, Yanli Tian, Baishi Hu

“…Abstract The σ54 factor (RpoN), a significant transcriptional regulatory factor, plays crucial roles in regulating virulence, motility, biofilm formation, and the utilization of carbon and nitrogen sources in pathogenic bacteria. …”
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All-optical broadband terahertz modulator based on NiO/Si heterojunction and interface photoconductivity analysis by Minjie Zhou, Ao Li, Shuhan Li, Fan Zhang, Zhiqiang Li, Bing Jin

“…Self-powered heterojunction photodetectors have the high separation and utilization of photoinduced charge carriers even without external power sources. …”
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Identification and Optimization of Urban Avian Ecological Corridors in Kunming: Framework Construction Based on Multi-Model Coupling and Multi-Scenario Simulation by Xiaoli Zhang, Zhe Zhang

“…The southern pinch points, located in wetland-forest ecotones, function as critical stopover sites for low-mobility waterbirds. …”
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Sustainable PV-hydrogen-storage microgrid energy management using a hierarchical economic model predictive control framework by Xinyu Guo, Faying Gu, Hongxu Liu, Yongcheng Yu, Runjie Li, Juan Wang

“…Abstract Hydrogen-based renewable microgrid is considered as a prospective technique in power generation to reduce the carbon footprint, combat climate change and promote renewable energy sources integration. The photovoltaic-hydrogen-storage (PHS) microgrid system cleverly integrates renewable clean energy and hydrogen storage, providing a sustainable solution that maximizes the solar energy utilization. …”
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Nanocellulose derived from agricultural biowaste by-products–Sustainable synthesis, biocompatibility, biomedical applications, and future perspectives: A review by Md. Meraj Ansari, Yunji Heo, Kyoungtag Do, Mrinmoy Ghosh, Young-Ok Son

“…Moreover, the strategic integration of nanocellulose into composites and its structural functionalization enable customizing its properties for specific functions, further expanding its utility. …”
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In-Loop Adaptive Filters to Improve the Power Quality of Switched Reluctance Generator in WECS by Elmer O. Hancco Catata, Pedro Jose Dos Santos Neto, Marcelo Vinicius De Paula, Joao Pedro Carvalho Silveira, Tarcio Andre Dos Santos Barros, Ernesto Ruppert Filho

“…The notch cascading and moving average filters are implemented at the voltage loop of the voltage source converter in an adaptive form, as function of the SRG speed. …”
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