Influence of diglyme and cumene additives upon emission and combustion behaviour of diverse biodiesel fuelled diesel engine by Swarup Kumar Nayak, Dinesh Babu Munuswamy, Ganesan Subbiah, Mallireddy Naresh, Yuvarajan Devarajan

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Dendritic excitations govern back-propagation via a spike-rate accelerometer by Pojeong Park, J. David Wong-Campos, Daniel G. Itkis, Byung Hun Lee, Yitong Qi, Hunter C. Davis, Benjamin Antin, Amol Pasarkar, Jonathan B. Grimm, Sarah E. Plutkis, Katie L. Holland, Liam Paninski, Luke D. Lavis, Adam E. Cohen

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Microblog discourse analysis for parenting style assessment by Zihan Wei, Lei Cao, Zhihong Qiao, Fang Luo, Xin Wang, Junrui Tian, Qi Li

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Symmetry-invariant quantum machine learning force fields by Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

“…Machine learning techniques are essential tools to compute efficient, yet accurate, force fields for atomistic simulations. …”
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Heat and mass transfer performance of power-law nanofluid flow with thermal radiation and joule heating aspects: Surface heat flux analysis by Mhamed Benaissa, Zia Ullah, A. Dahshan, Md Mahbub Alam, Khadijah M. Abualnaja, Hanaa Abu-Zinadah, Abdullah A. Faqihi, Nidhal Ben Khedher

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Application of the Natural Decomposition Method to Strongly Coupled Partial Differential Equations: The Gray-Scott Model. by Nsingwire, Godwin

“…Overall, the natural decomposition method proves to be a robust and versatile tool, offering both analytical clarity and computational efficiency in modeling complex chemical and biological systems governed by nonlinear partial differential equations.…”
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Prevalence, associated factors, management and outcomes of hypokalaemia in hospitalised patients at a South African tertiary centre by C Burton, M-Y Chothia, A Zemlin, S Lahri

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Modelling and optimization of well hole cleaning using artificial intelligence techniques by Nageswara Rao Lakkimsetty, Hassan Rashid Ali Al Araimi, G. Kavitha

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Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

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Investigating Pore Characteristics and Their Dependence on Shale Composition: Case Study from a Permian Basin in India by Saheli Ghosh Dastidar, Kripamoy Sarkar, Debanjan Chandra, Bodhisatwa Hazra, Vikram Vishal

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A ribosome-associating chaperone mediates GTP-driven vectorial folding of nascent eEF1A by Ibrahim M. Sabbarini, Dvir Reif, Kibum Park, Alexander J. McQuown, Anjali R. Nelliat, Charlotte Trejtnar, Volker Dötsch, Eugene I. Shakhnovich, Andrew W. Murray, Vladimir Denic

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Metallic transports from accelerating black holes by Dibakar Roychowdhury

“…We further compute resistivity in different temperature regime, which reveals a new quantum liquid phase with dynamic critical exponent z = 3.…”
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Spin-bearing molecules as optically addressable platforms for quantum technologies by Kuppusamy Senthil Kumar, Hunger David, Ruben Mario, Goldner Philippe, Serrano Diana

“…We envision that optically addressable spin-carrying molecules could become a scalable building block of quantum hardware for applications in the fields of quantum sensing, quantum communication and quantum computing.…”
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Skeletal muscle stem cells modulate niche function in Duchenne muscular dystrophy mouse through YY1-CCL5 axis by Yang Li, Chuhan Li, Qiang Sun, Xingyuan Liu, Fengyuan Chen, Yeelo Cheung, Yu Zhao, Ting Xie, Bénédicte Chazaud, Hao Sun, Huating Wang

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EGUP corrected thermodynamics of RN-AdS black hole with quintessence matter by Baoyu Tan

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Pulsed plasma effect in the form of Debye lengths variation on air-suspended carbon nanoparticles by Mahsa Mokhtari, Mohammad Taghi Ahmadi, Amir Musa Abazari, Meisam Rahmani

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Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

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Asymmetric multi-component trifunctionalization reactions with α-Halo Rh-carbenes by Xiaoyan Yang, Xiaoyu Zhou, Wenhao Hu, Yu Qian

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Modeling and estimation of physiochemical properties of cancer drugs using entropy measures by Qasem M. Tawhari, Muhammad Naeem, Abdul Rauf, Muhammad Kamran Siddiqui, Oladele Oyelakin

“…Entropy measures are used to predict physical and chemical properties of drugs. In this paper, we compute entropy measures for the hyaluronic acid-paclitaxel conjugate using the edge/connectivity partition approach. …”
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