Mathematical modelling and optimization of cutting conditions in turning operation on MDN 350 steel with carbide inserts by Syed Adil, A. Krishnaiah, D. Srinivas Rao

“…Artificial neural networks technique, which is well known for its versatility to model linear as well as non-linear data, is used to express the surface roughness as a function of tool geometrical variables. Genetic Algorithm, which is an advanced optimization technique known for its intricate search for optimal solutions, is used for optimizing surface roughness with optimal combination of the geometrical parameters. …”
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Prospects for Data Collection to Optimise Kid Rearing in Dutch Dairy Goat Herds by Eveline Dijkstra, Inge Santman-Berends, Tara de Haan, Gerdien van Schaik, René van den Brom, Arjan Stegeman

“…Optimising kid rearing is essential for sustainable dairy goat farming, yet validated parameters and practical benchmark data are lacking. …”
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Optimization of VA-DLLME methodology for the determination of beta-cyfluthrin in blood and urine sample of human by TLC-image analysis: Validated by AGREE and complex GAPI tools by Sakshi Pandey, Mahak Malviya, Lalit P. Chandravanshi

“…The green characteristics of the developed method were assessed using complexGAPI and AGREE tools of greenness.…”
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Adsorption isotherms in roasted specialty coffee (Coffea arabica L.): Dataset and statistical tools for optimizing storage conditions and enhancing shelf lifeMendeley Data by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…The dataset also provides two calibrated sorption models: Peleg and Double Logarithm Polynomial (DLP), which are highly suitable for practical applications, allowing users to predict the equilibrium moisture content of coffee as a function of water activity, temperature, and coffee type (whole beans or ground coffee). These tools offer valuable insights for researchers, coffee producers, and decision-makers in computing critical parameters related to roasted specialty coffee's shelf life, determining optimal packaging materials, and understanding the hygroscopic properties of coffee. …”
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Monitoring the Spoilage of Fresh Sterlet (<i>Acipenser ruthenus</i>) During Storage at 4 °C by Mid-Infrared and Fluorescence Spectroscopies Coupled with Chemometric Tools by Daria Vilkova, Moriken Sangaré, Ahmed Snoussi, Romdhane Karoui

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Volatile organic compounds (VOCs) fingerprinting combined with complex network analysis as a forecasting tool for tracing the origin and genetic lineage of Arabica specialty coffee... by Cosimo Taiti, Gianna Vivaldo, Stefano Mancuso, Diego Comparini, Camilla Pandolfi

“…In particular, this study aimed to evaluate the potential of volatile compounds monitored through Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-ToF-MS) as objective, fast, reliable and repeatable tool for tracking the quality and genetic lineage of Arabica specialty coffees. …”
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The performance of GPT-3.5 and GPT-4 on genetic tests at PhD-level: GPT-4 as a promising tool for genomic medicine and education by Teymoor Khosravi, Arian Rahimzadeh, Farzaneh Motallebi, Fatemeh Vaghefi, Zainab Mohammad Al Sudani, Morteza Oladnabi

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Analytical research of the relation between hydraulic mechanism of the axial pressure of the drilling rig and technological parameters of the drilling regimes of the geological exp... by V. V. Kulikov, S. . Zavacky

“…Because of this, we can not exactly evaluate variations of the axial load on the cutting tools when changing hydraulic parameters of the thrust mechanism. …”
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The effect of macroeconomic shocks on non-performing loans and credit risk in the iranian banking system using time-varying parameter vector autoregressions by Pejman Peykani, Mostafa Sargolzaei, Camelia Oprean-Stan, Hamidreza Kamyabfar, Atefeh Reghabi

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Optimization of CNC End Milling Process Parameters of Low-Carbon Mold Steel Using Response Surface Methodology and Grey Relational Analysis by R. Suresh Kumar, S. Senthil Kumar, K. Murugan, B. Guruprasad, Sreekanth Manavalla, S. Madhu, M. Hariprabhu, S. Balamuralitharan, S. Venkatesa Prabhu

“…This is achieved by a proper understanding of every minute influence of parameters on the entire process. Understanding the influencing parameters in determining the machining process efficacy is inevitable. …”
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Development and validation of a machine learning model for online predicting the risk of in heart failure: based on the routine blood test and their derived parameters by Jianchen Pu, Yimin Yao, Xiaochun Wang

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Hamilton Rating Scale for Anxiety: exploring validity with robust measures of classical theory parameters and a rating scale model in university students by Md Dilshad Manzar, Faizan Z. Kashoo, Mohammed Salahuddin, Dejene Nureye, Habtamu Acho Addo, Seithikurippu R. Pandi-Perumal, Amir H. Pakpour, Ahmed S. Bahammam

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Analysis of Dynamic Fracture Parameters in Functionally Graded Material Plates with Cracks by Graded Finite Element Method and Virtual Crack Closure Technique by Li Ming Zhou, Guang Wei Meng, Xiao Lin Li, Feng Li

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STELLA provides a drug design framework enabling extensive fragment-level chemical space exploration and balanced multi-parameter optimization by Hokyun Jeon, Jin Gyu Lee, Wonseok Shin, Hyunjun Ji, InSuk Joung, Hui Sun Lee

“…The results highlight STELLA’s superior performance in both efficient exploration of chemical space and multi-parameter optimization, indicating that STELLA is a powerful tool for de novo molecular design.…”
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Synthetic Data-Enhanced Classification of Prevalent Osteoporotic Fractures Using Dual-Energy X-Ray Absorptiometry-Based Geometric and Material Parameters by Luca Quagliato, Jiin Seo, Jiheun Hong, Taeyong Lee, Yoon-Sok Chung

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Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm by V Ashok Gajapati Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra

“…Therefore, the proposed model can be used as a valuable tool for solar power plant operators, utilities, and policymakers to optimize solar energy production and ensure a reliable supply of renewable energy.…”
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The Control of Shield Tunnel Construction-Induced Ground Settlement Based on an Optimized Gap Parameter Theory and Three-Dimensional Finite Element Analysis by Hanzhang Guo, Guangcheng Zhang, Zhihong Wu, Jiaqi Wang

“…To summarize, the proposed optimized gap parameter theory, combined with the corresponding numerical simulation technology, provides a good tool for the control of ground settlement caused by shield tunnel excavation in complex strata, such as binary structure strata.…”
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The effect of various in-vitro and ex-vivo parameters on irrigant flow and apical pressure using manual syringe needle irrigation: Systematic review by Kavalipurapu Venkata Teja, Sindhu Ramesh, Gopi Battineni, Kaligotla Apoorva Vasundhara, Jerry Jose, Krishnamachari Janani

“…As they include studies that were in-vitro and ex-vivo based, the risk of bias of the selected articles was assessed using a customized tool based on the previous literature and parameters evaluated in the studies included. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…It is challenging to find the best PEMFC parameters because the model is complex and the problem is nonlinear; not all optimization algorithms can solve this problem. …”
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Effects of different exercise prescription parameters on metabolic and inflammatory biomarkers in cancer patients: a systematic review, meta-analysis, and meta-regression by Jingyu Wang, Yuxuan He, Yuxuan He, Ziqian Wang, Zhouluo Wang, Yongqi Miao, Jae-Young Choi

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