Machine Learning for Non-Destructive Prediction of Sunflower Leaf Area by Joao Everthon da Silva Ribeiro, Antonio Gideilson Correia da Silva, Pablo Henrique de Almeida Oliveira, Josiana Micarla da Silva Oliveira, Alessandra Nunes da Silva, John Victor Lucas Lima, Ivan Euzebio da Silva, Ester Dos Santos Coelho, Isaque de Oliveira Leite, Elania Freire da Silva, Toshik Iarley da Silva, Lindomar Maria da Silveira, Aurelio Paes Barros Junior

“…However, its measurement using traditional methods can be limited. The search for non-destructive approaches based on leaf dimensions is essential, and machine learning offers promising alternatives for accurate estimation. …”
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Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox by Megan D. Schertzer, Andrew Stirn, Keren Isaev, Laura Pereira, Stella H. Park, Anjali Das, Aline Réal, Erin D. Jeffery, Claire Harbison, Hans-Hermann Wessels, Gloria M. Sheynkman, Neville E. Sanjana, David A. Knowles

“…Two major challenges in characterizing the cellular function of alternative isoforms are the lack of experimental methods to specifically and efficiently modulate isoform expression and computational tools for complex experimental design and analysis. …”
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Dynamic overmodulation strategy based on torque and flux optimal tracking for DTC‐SVM of surface‐mounted PMSM drives by Peihe Li, Anwen Shen, Qipeng Tang, Xin Luo, Jinbang Xu

“…However, the rapid tracking performance of torque and stator flux linkage is gradually deteriorating as the machine enters the overmodulation region because of the output‐voltage limitation of the inverter. Therefore, to enhance the system tracking performance in the overmodulation region, an innovative overmodulation method based on torque and flux optimal tracking is proposed. …”
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Artificial neural networks applied to photo-Fenton process: An innovative approach to wastewater treatment by Davide Palma, Kevin U. Antela, Alessandra Bianco Prevot, M. Luisa Cervera, Angel Morales-Rubio, Roberto Sáez-Hernández

“…It examines the types and architectures of ANNs, input and output variables, and the efficiency of these networks. …”
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End-to-End Architecture for English Reading and Writing Content Assessment Based on Prompt Learning by Su-Qin Wu, Ming-Yong Pang, Xue-Mei Sun, Xin-Jian Wang, Yun-Peng Ji

“…Within an end-to-end architecture, the entire assessment process is automated, from text input to output of assessment results, eliminating the need for manually designed feature extraction steps. …”
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Quality Analysis of Crude Palm Oil Using Free Fatty Acid Content Parameters with Failure Mode and Effect Analysis by Nismah Panjaitan, Muhammad Zaky Faris, Juni Arta Lubis, Niken Kristin Silitonga

“…Competition in the industry forces palm oil producers to keep raising the caliber of their output. One of the businesses involved in the Crude Palm Oil sector is PT. …”
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Enhancing the Communication Bandwidth of FH-MIMO DFRC Systems Through Constellation Rotation Modulation by Jiangtao Liu, Weibin Jiang, Wentie Yang, Tao Su, Jianzhong Chen

“…This paper presents a technique based on Constellation Rotation Modulation (CRM) to enhance the communication bandwidth of Frequency-Hopping Multiple-Input Multiple-Output Dual-Function Radar and Communication (FH-MIMO DFRC) systems. …”
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Measuring and Analyzing the Impact of Macroeconomic Variables on Agricultural Exports in Egypt for The Period 1990-2022 by Rihal Qasim, Iman Rashad

“…The study relied on two approaches: the first is descriptive and relies on theoretical research, and the second is quantitative and relies on standard economic methods and techniques. To achieve the study objective, a standard model was adopted that included several variables, including agricultural output values, foreign direct investment, exchange rate, inflation rate, and agricultural support as independent variables. …”
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Enhanced Mamba model with multi-head attention mechanism and learnable scaling parameters for remaining useful life prediction by Fugang Liu, Shenyang Liu, Yuan Chai, Yongtao Zhu

“…Lastly, the model is compared with the current state-of-the-art research findings on aero-engine and lithium-ion batteries datasets, and the experimental results demonstrate that the model outperforms the current state-of-the-art methods in RUL prediction tasks, exhibiting better generalization, and can be applied as a general RUL prediction method to other fields.…”
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Methodology for determining and controlling the load capacity of integrated circuits by Gennady P. Shopin, Alina A. Denisyuk, Mikhail N. Piganov

“…The proposed technique makes it possible to find the largest number of inputs of logic elements that can be connected to the output of the tested microcircuits without deterioration of its functional parameters. …”
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Optimization of an Asymmetric-Rotor Permanent Magnet-Assisted Synchronous Reluctance Motor for Improved Anti-Demagnetization Performance by Feng Xing, Jiajia Zhang, Feng Zuo, Yuge Gao

“…Permanent magnet-assisted synchronous reluctance motors (PMA-SynRMs) are widely used in various fields due to their significant advantages, including strong torque output, high efficiency, excellent speed regulation, and low cost. …”
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Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization by Hyakka Nakada, Kotaro Tanahashi, Shu Tanaka

“…Unfortunately, many optimization problems have constraints, which induces infeasible solutions during VQE process. Recently, several methods for efficiently solving constrained combinatorial optimization problems have been proposed by designing a quantum circuit so as to output only the states that satisfy the constraints. …”
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Rock-filled concrete columns under axial loads by Mohamed S. Khalafalla, Jin Feng

“…The challenges lie in determining the construction sequence methods and assessing its filling capacity when applying RFC to these structural components. …”
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Vasopressors for the Treatment of Septic Shock: Systematic Review and Meta-Analysis. by Tomer Avni, Adi Lador, Shaul Lev, Leonard Leibovici, Mical Paul, Alon Grossman

“…Our objective was to assess the evidence for the efficiency and safety of all vasopressors in septic shock.…”
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Optimization of Photovoltaic and Battery Storage Sizing in a DC Microgrid Using LSTM Networks Based on Load Forecasting by Süleyman Emre Eyimaya, Necmi Altin, Adel Nasiri

“…The dynamic load prediction, provided by LSTM in particular, improves system responsiveness and efficiency compared to MLP. Simulation results indicate that optimal sizing of PV and storage units significantly reduces energy costs and dependency on the main grid for both forecasting methods; however, the LSTM-based approach consistently achieves higher annual savings, self-sufficiency, and Net Present Value (NPV) than the MLP-based approach. …”
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Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme by Mohammed Ashraf Ali, Ahmad H. Besheer, Hassan M. Emara, Ahmed Bahgat

“…Consequently, this approach enhances MG operational efficiency and provides significant cost savings.…”
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N-alkylated polydithiocarbamates derived from thiocarbonyl fluoride as macro-photoiniferters for living 3D printing by Pengfei Ruan, Haonan Xiang, Wenbin Yi, Jieping Wang

“…Utilizing secondary diamines, dithiols, and thiocarbonyl fluoride, we efficiently synthesize these polymers with diverse structures. …”
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Experimental Parametric Forecast of Solar Energy over Time: Sample Data Descriptor by Fernando Venâncio Mucomole, Carlos Augusto Santos Silva, Lourenço Lázaro Magaia

“…By adjusting the local characteristics, the model can be used in diverse contexts to increase PV plants’ electrical power output efficiency.…”
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Comparison of Various Machine Learning Models for Estimating Construction Projects Sales Valuation Using Economic Variables and Indices by Yazan Alzubi

“…Therefore, this study aims to predict the sales valuation of construction projects using various machine learning approaches, incorporating different EV&Is and P&F as input features for these models and subsequently generating the sales valuation as the output. This research will undertake a comparative analysis to investigate the efficiency of the different machine learning models, identifying the most effective approach for estimating the sales valuation of construction projects. …”
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A novel approach to desalination: producing potable water from seawater by Farshad Farahbod

“…Abstract Freshwater production systems aim to convert seawater into usable freshwater. Two primary methods are employed: 1. Distillation: This process involves heating seawater to vaporize it, leaving behind salts. …”
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