Parametric study and optimization of energy consumption in batch reverse osmosis for constant permeate flowrate by Abdeljalil Chougradi, Ahmed Abed

“…For a fixed recovery ratio, our work proved linear dependency of specific energy consumption on initial feed salinity. …”
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Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum). by Rajermani Thinakaran, Ecenur Korkmaz, Başak Ünver, Seyid Amjad Ali, Zeshan Iqbal, Muhammad Aasim

“…In vitro regeneration of potato tubers is highly significant in modern agriculture as it offers efficient propagation, genetic enhancement, and pathogen-free seed production. …”
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Determination of Steel Losses and Optimization of the Thickness of the Transformer Magnetic Conductor Sheets by S. M. Plotnikov

“…Currently, transformer manufacturers are tasked with creating energy-efficient devices with a reduction of steel losses of up to 44 %. …”
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Development and validation of an open-source virtual reality environment for alcohol use disorder and determinants of cue-induced craving among Indian participants by Tamonud Modak, Sanjukta Ghosh, Abhijit R. Rozatkar

“…Virtual reality (VR) has allowed for efficient conducting of CE. Limited research exists on VR for AUD in Indian settings. …”
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SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification by Sunil Kumar Prabhakar, Seong-Whan Lee

“…<italic>Goal</italic>: In this paper, two versatile deep learning methods are proposed for the efficient classification of epilepsy and schizophrenia from EEG datasets. …”
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Mapping Bus and Stream Travel Time Using Machine Learning Approaches by Gopikrishnan Nair, B. Anil Kumar, Lelitha Vanajaskshi

“…Results show that the proposed methods can efficiently map bus travel times with stream travel times with an average MAPE of 20% and perform better than existing approaches such as linear regression and artificial neural networks.…”
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Train timetable and stopping plan generation based on cross-line passenger flow in high-speed railway network by Yuqiang Wang

“…Sequentially, a mixed-integer linear programing model with headway and coupling constraints is formulated. …”
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Manifold Learning for Aerodynamic Shape Design Optimization by Boda Zheng, Abhijith Moni, Weigang Yao, Min Xu

“…To address the demands of modern design, we developed an efficient aerodynamic shape design framework based on our previous work involving the locally linear embedding plus constrained optimization genetic algorithm (LLE+COGA) high-fidelity reduced-order model (ROM). …”
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Antifungal activity of some nanoparticles against kidney bean root rots pathogens by Walaa M. Kamel

“…In vitro experiment, both fungicide and high level of any of nanoparticles used (30 ppm) entirely suppressed the linear spread of four examined fungal genera (Fusarium solani, Sclerotium rolfsii, Rhizoctonia solani as well as Pythium ultimum). …”
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Selective Electrochemical Determination of Etoposide Using a Molecularly Imprinted Overoxidized Polypyrrole Coated Glassy Carbon Electrode by Hajer Hrichi, Lotfi Monser, Nafaâ Adhoum

“…A simple and efficient new electrochemical sensor based on molecularly imprinted polymer has been developed for selective detection of an anticancer agent Etoposide (ETP). …”
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Magnetic Nanocomposite (CDs@Fe3O4) for Preconcentration and Ultra-Sensitive Determination of Sulfathiazole in Wastewater Spectrophotometrically by Ibrahim Qadr Saeed

“…In this article, a magnetic nanocomposite adsorbent, cyclodextrin@Ferrous-ferric oxide (CDs@Fe3O4), was used for the efficient adsorption of sulfathiazole (STZ) from wastewater due to its special amphiphilicity. …”
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An Integrated Supply Chain Model for Predicting Demand and Supply and Optimizing Blood Distribution by Pooria Bagher Niakan, Mehdi Keramatpour, Behrouz Afshar-Nadjafi, Alireza Rashidi Komijan

“…<i>Conclusions</i>: Utilizing weights allows for the effective management of each objective function to convert the model into a single-objective mixed-integer linear programming (SO-MILP) based on unique conditions, enabling the system to self-adjust for optimal performance, boosting the sustainability of the blood supply chain, and promoting the principle of health equity under diverse real-world settings.…”
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In vivo crosslinking and effective 2D enrichment for proteome wide interactome studies by Philipp Bräuer, Laszlo Tirian, Fränze Müller, Karl Mechtler, Manuel Matzinger

“…Abstract Cross-linking mass spectrometry has evolved as a powerful technique to study protein-protein interactions and to provide structural information. Low reaction efficiencies, and complex matrices lead to challenging system wide crosslink analysis. …”
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Detection of Adulteration of Extra Virgin Olive Oil via Laser-Induced Breakdown Spectroscopy and Ultraviolet-Visible-Near-Infrared Absorption Spectroscopy: A Comparative Study by Eleni Nanou, Marios Bekogianni, Theodoros Stamatoukos, Stelios Couris

“…The present results demonstrate the potential of both techniques for efficient and accurate olive oil authentication issues, with the LIBS technique being better suited as it can operate much faster.…”
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Capturing Crows for the Protection of Threatened and Endangered Shorebird Species by Brian T. Leo, Steven J. Manley

“…A negative binomial generalized linear model showed a significant relationship between number of crows removed and number of endangered California least tern (Sternula antillarum browni) eggs predated by crows. …”
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Design Interleaved Full Bridge Circuit DC-DC Converter With Fuel Cell Power Source On Hybrid Trains by Taufik Iqbal Miftaks, Muhammad Azis Muslim, Mochammad Rusli

“…SMC is a type of non-linear control that functions functionally to control variable structures. …”
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Investment Decisions as a Moderator in Capital Structure, Firm Size, Profitability, and Firm Value by Erni Ghuri, Zulfikar Zulfikar

“…The lack of significance for firm size may reflect that larger banks in Indonesia are not inherently more efficient or value-generating due to structural or operational inefficiencies. …”
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Tracking of Moving Targets Through Asynchronous Measures by Alberto Facheris, Luca Reggiani

“…We also show that our estimator is optimal among the linear ones, meaning that within this class, it minimizes the estimation error variance. …”
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Magnons from time-dependent density-functional perturbation theory and nonempirical Hubbard functionals by Luca Binci, Nicola Marzari, Iurii Timrov

“…Unlike methods that rely on empirical Hubbard U parameters to describe the ground state, and Heisenberg Hamiltonians for describing magnetic excitations, the methodology developed here probes directly the dynamical spin susceptibility (efficiently evaluated with TDDFPT throught the Liouville-Lanczos approach), and treats the linear variation of the Hubbard augmentation (in itself calculated non-empirically) in full at a self-consistent level. …”
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Revolutionizing RIS Networks: LiDAR-Based Data-Driven Approach to Enhance RIS Beamforming by Ahmad M. Nazar, Mohamed Y. Selim, Daji Qiao

“…The permutation-equivariant and -invariant properties of the GNN proved advantageous in efficiently handling the LiDAR data. Our simulation results demonstrated significant improvements in sum rates compared with conventional methods. …”
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