Temperature Dependence of Hardness of High Entropy Alloys by Ottó K. Temesi, Albert Karacs, Nguyen Q. Chinh, Lajos K. Varga

“…The relative change of bulk hardness as a function of temperature, H(T), is studied by three new parametric formulas beside the well-known exponential decay and Arrhenius-type expressions. …”
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Stability Optimization of Trapezoidal Frame with Rigid Members and Flexible Joints by Chao Wu, Ya-Nan Li, Lik-Ho Tam, Li He

“…However, the joints of a portal frame in real applications are not always rigid and semirigid connections often exist. …”
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Dissecting polytopes: Landau singularities and asymptotic expansions in 2 → 2 scattering by Einan Gardi, Franz Herzog, Stephen Jones, Yao Ma

“…Here we identify cases where some singularities appear instead as pinches in parametric space for general kinematics, and we then extend the applicability of sector decomposition and the method of regions algorithms to such integrals, by dissecting the Newton polytope on the singular locus. …”
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The Metrical Structure of Some Selected Modified English Haiku Poems: A Phonological Study by Abbas Hameed, Balqis Al-Rashid

“…The study tries to answer the following two questions: Is the metrical theory applicable to the analysis of the syllables, stress and the rhythmic patterns of English haiku poems? …”
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Scanning Electron Microcopy Analysis after Electrical Discharge Machining of Advanced Ni-Based Alloy by Anand Pandey, Ashish Goyal, Ranjan Walia, Varun Jurwall

“…Researchers have successfully experimented with high-strength alloys and composite materials, finding wide applications in defense, automobile, and medical industries to shape precision micro-grooves (straight, tapered, and angular-based). …”
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Optimizing Methanol Flow Rate for Enhanced Semi-Passive Mini-Direct Methanol Fuel Cell Performance by Laura Faria, Vicenta María Barragán

“….%), although this can vary depending on the specific configuration and application. In this work, the effect of an additional pumping system to supply the methanol has been analyzed by varying the methanol flow rate within the pump’s range. …”
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Advanced Artificial Intelligence Technologies Transforming Contemporary Pharmaceutical Research by Parveen Kumar, Benu Chaudhary, Preeti Arya, Rupali Chauhan, Sushma Devi, Punit B. Parejiya, Madan Mohan Gupta

“…Analysis algorithms that are learning to mimic human cognitive activities are the most widespread application of AI. Artificial intelligence (AI) studies have proliferated, and the field is quickly beginning to understand its potential impact on medical services and investigation. …”
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On the study of multiple wave profiles and hybrid phenomena to the newly developed multi-component Gross-Pitaevskii system and stability analysis by Muhammad Bilal, Shafqat Ur Rehman, Yazen M. Alawaideh, Ioan-Lucian Popa, Bashar M. Al-khamiseh

“…Additionally, we display different wave profiles with the appropriate parametric values and plot the gain spectrum for the modulation instability analysis. …”
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A socio-CFD approach to reduce the possibility of airborne bio-contaminant disease infection in indoor spaces by Randa Khalil, Ahmed El-Kordy, Hesham Sobh

“…The results demonstrated the applicability of the EHR and CFDPO methods to attain the objectives. …”
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Improving Energy Efficiency of School Buildings: A Case Study of Thermal Insulation and Window Replacement Using Cost-Benefit Analysis and Energy Simulations by Dušan Ranđelović, Vladan Jovanović, Marko Ignjatović, Janusz Marchwiński, Ołeksij Kopyłow, Vuk Milošević

“…This study demonstrates the benefits of comprehensive school building (SB) energy efficiency (EE) improvements through building envelope renovations, lighting upgrades, and changes to cleaner heat sources. The parametric study in the building energy simulation software was used to check the application of various interventions on the energy consumption of existing SBs while reducing CO₂ emissions with the most profitable return on investment (<i>ROI</i>). …”
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Zonation of coastal geo-electrostratigraphic units via stratigraphic modified Lorenz plots and rock typing by Ndifreke I. Udosen

“…A major novelty of this study lies in integrating petrophysical, electro-hydraulic, and geospatial data to generate high-resolution 2D parametric maps. This approach has enabled the visualization of spatial permeability distributions and groundwater storage variations, offering a diagnostic tool for aquifer productivity assessment. …”
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Fabrication and Optimization of Ti₃C₂Tx MXene Thin Films for Next‐Generation Lab‐on‐Chip Devices by Marwan Taha, Abdulrahman Agha, Shoaib Anwer, Hani Saleh, Anna‐Maria Pappa, Eiyad Abu‐Nada, Anas Alazzam

“…This work presents a comprehensive parametric study on the fabrication and application of patterned Ti₃C₂Tx MXene (TMX) thin films, focusing on optimizing deposition parameters across various substrates to achieve good electrical conductivity, strong adhesion, and mechanical flexibility with transparency, enabling high‐performance thin films for advanced LOC applications. …”
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Decision based algorithm for circular pythagorean fuzzy framework and advanced petroleum exploration methods by Maria Nazir, Zeeshan Ali, Abrar Hussain, Kifayat Ullah, Oumaima Saidani

“…The setting of different parametric variables in sensitivity analysis verifies the advantages and reliability of designed approaches. …”
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Exploring novel magnetic nanocomposite coagulants utilization for advanced drilling wastewater treatment and optimization by Behrad Shadan, Reza Gharibshahi, Arezou Jafari

“…This study explores the novel application of a magnetic nanocomposite (MNC) for treating drilling wastewater, aiming to integrate magnetic properties into chemical contaminant adsorbents to create a regenerative coagulant. …”
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Deep learning for prediction and classifying the dynamical behaviour of piecewise-smooth maps by Vismaya V S, Bharath V Nair, Sishu Shankar Muni

“…This study introduces a novel application of deep learning models to cobweb diagrams and phase portraits, which provides a new perspective for classifying regular and chaotic behaviour. …”
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Reduced Geostatistical Approach With a Fourier Neural Operator Surrogate Model for Inverse Modeling of Hydraulic Tomography by Quan Guo, Yu He, Ming Liu, Yue Zhao, Yuzheng Liu, Jian Luo

“…The data required for inverse modeling applications of RGA‐FNO increases with the variance of the random transmissivity fields. …”
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Axial Compression Behavior of Circular Concrete-Filled High-Strength Thin-Walled Steel Tubular Columns with Out-of-Code D/t Ratios by Jun-Xin Li, Jian-Tao Wang, Qing Sun, Yan-Ru Wu, Shi-Ming Zhou, Fa-Cheng Wang

“…The abovementioned study can provide the meaningful design reference for the analysis and application of CFHTST columns.…”
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Probabilistic Analysis of Tunnel Liner Performance Using Random Field Theory by Xin Yu, Jinguo Cheng, Chunhui Cao, Erqiang Li, Jili Feng

“…An illustrative hypothesized tunnel is introduced to demonstrate the application of the probabilistic evaluation procedure, and the effects of site characterization parameters and conditioning on the tunnel liner performance are also inspected in a series of parametric studies. …”
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Kinematic effects of sensorimotor foot orthoses on the gait of patients with patellofemoral pain—a randomized controlled trial by Steven Simon, Jonas Dully, Oliver Ludwig, Carlo Dindorf, Eva Bartaguiz, Michael Fröhlich, Stephan Becker

“…For each joint in all three dimensions, three-way repeated-measures statistical parametric mapping (SPM) was performed using analysis of variance (ANOVA)-like statistics. post-hoc, the significant results were checked using post-hoc t-test-like SPMs.ResultsResults show that SMFOs and BMFOs both significantly changed ankle and knee kinematic parameters in patients with PFP in long-term. …”
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Exploring the Impact of Improved Maize Seeds on Productivity of Tanzanian Family Farms: A Maize Seed Stochastic Simulation (MaizeSim) Approach by Ibrahim L. Kadigi, Eliaza Mkuna, Stefan Sieber

“…A stochastic simulation model (a non-parametric model, “MaizeSim”) was employed to account for the inherent variability and uncertainty considerations in maize yields, offering a more accurate representation of outcomes for both improved seed users and non-users. …”
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