Application of Machine Learning for Target Selection and Acid Treatment Design by I. I. Mannanov, M. A. Varfolomeev, G. R. Ganieva, A. R. Gimaeva, R. R. Giniyatullin

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Moderating effect of strategic factor on organizational performance by Kowo Solomon Akpoviroro, Sabitu Olalekan Owotutu, Popoola Mufutau Akanmu

“…Therefore; an investigation is required to assess the effect firm size, location and structure will have on firm’s performance. For the purpose of this study primary data was used. …”
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Fire-Induced Changes in Daily Butterfly Assemblages in Mediterranean Forests: Insights from the Edough Massif, Algeria by Nariman Laref, Mehdi Boukheroufa, Rym Sakraoui, Feriel Sakraoui, Walid Dadci, Rached Hadiby, Oualid Sayah, Kaouther Bounnour

“…This study compares the diversity and structure of diurnal butterflies in two cork oak forests of the Edough Massif (Algeria): a natural forest and a post-fire forest, based on surveys conducted from March to July 2023. …”
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Correlation of anomalies in temperature dependences of electrical resistance and thermal deformation of YBa2Cu3O7-δ ceramics by A.E. Rabadanova, D.K. Palchaev, V.S. Efimchenko, R.M. Emirov, Sh.P. Faradzhev, S.Kh. Gadzhimagomedov, Zh.Kh. Murlieva, M.Kh. Rabadanov, S.V. Simonov, A.M. Aliyev, A.A. Antsiferova, M.E. Iskhakov, N.M.-R. Alikhanov

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Improving the wear resistance of guides: tribological analysis, surface texture and lubricants by O.V. Dykha, V.O. Dytyniuk, O.S. Kovtun, V.O. Fasolia, M.V. Hetman

“…The influence of tribological parameters, in particular surface roughness and lubricating structures, on the operational characteristics of linear guides is studied. …”
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Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease by Arnau Puig‐Davi, Carla Franch‐Marti, Iñigo Ruiz‐Barrio, Frederic Sampedro, Jesus Perez‐Perez, Jordi A. Matias‐Guiu, Fernando Cuetos, Gonzalo Olmedo‐Saura, Laura Perez‐Carasol, Andrea Horta‐Barba, Ignacio Aracil‐Bolaños, Javier Pagonabarraga, Jaime Kulisevsky, Saul Martinez‐Horta

“…In‐depth study of linguistic skills and the role of extrastriatal structures in HD is scarce. This study aimed to explore the profile of language compromise in HD and identify the structural neuroimaging correlates. …”
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Effect of the Volume Fraction of Jute Fiber on the Interlaminar Shear Stress and Tensile Behavior Characteristics of Hybrid Glass/Jute Fiber Reinforced Polymer Composite Bar for Co... by Chan-Gi Park

“…Hybrid glass/jute fiber reinforced polymer (HGJFRP) composite bars were manufactured for concrete structures, and their interlaminar shear stress and tensile performance were evaluated. …”
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Updimensioning strategy derived from synthetic equiaxed grain structures for approximating 3D grain size distributions from 2D visualizations with 1D parameters by Kevin Gillespie, Algirdas Baskys, Ian Pong, Jean-Francois Croteau

“…Abstract We generated synthetic equiaxed grain structures using computer graphics software to explore the relationship between various grain size determination methods and true three-dimensional (3D) grain diameters. …”
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A review on Linear Fresnel Reflector (LFR) as a solar line concentrator in polygeneration for low-medium temperature applications among the rural livelihoods by Sanju John Thomas, Sudhansu S. Sahoo, Sheffy Thomas, Ajith Kumar G, Mohamed M. Awad

“…The LFR has the advantage of easy installation, reduced structures, good optical efficiency, flexible designs, and direct steam generation at a temperature range of 80 C - to 400 C, which can be a techno-commercial competitor for evacuated tube collectors (ETC) and PTC. …”
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Quasi-optimal discriminator of the two-channel angular coordinates measurer of the fast fluctuating signal source in the radar with linear scanning of the antenna direction pattern by M. M. Bulash, I. N. Davidenko, S. V. Shalyapin

“…Considering the synthesis of the quasi-optimal two-channel discriminator structure of the angle meter of the fast fluctuating signal source for using a linear scanning of the antenna pattern. …”
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Non-linear finite element analysis for the verification and parametric study of reinforced concrete beams strengthened in compression zone to improve ductility by using ABAQUS by Dunyazad Assi

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Evaluating Optimal Deep Learning Models for Freshness Assessment of Silver Barb Through Technique for Order Preference by Similarity to Ideal Solution with Linear Programming by Atchara Choompol, Sarayut Gonwirat, Narong Wichapa, Anucha Sriburum, Sarayut Thitapars, Thanakorn Yarnguy, Noppakun Thongmual, Waraporn Warorot, Kiatipong Charoenjit, Ronnachai Sangmuenmao

“…This study establishes a structured framework for integrating AI-driven fish quality assessment into fishery-based community enterprises, improving productivity and reducing reliance on manual sorting processes.…”
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Securing Body Sensor Networks with Biometric Methods: A New Key Negotiation Method and a Key Sampling Method for Linear Interpolation Encryption by Huawei Zhao, Chi Chen, Jiankun Hu, Jing Qin

“…The second approach includes a detailed key sampling method that uses shared secrets to generate linear interpolation factors and an improved linear interpolation encryption scheme based on linear equation group. …”
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Prediction of Temperature Factors in Proteins: Effect of Data Pre-Processing and Experimental Conditions by Jure Pražnikar

“…It has also been shown that large ligands, such as those found in protein–DNA complexes, have a significant impact on the quality of the prediction. A linear model based on graphlet degree vectors proves to be effective not only for the prediction of B-factors and the validation of deposited protein structures but also for the qualitative estimation of root-mean-square fluctuations derived from molecular dynamics.…”
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Enhanced RF analog linearity in metal gate modulated heterojunction based uniform TFET for label-free detection of dengue NS1 protein by Ranjith Kumar T, Lakshmi Priya G

“…This enhanced performance occurs because of structural asymmetry which makes it suitable for high-end RF and biosensing purposes while reaching a peak transconductance of 536 µS. …”
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Estimation of Beginning Points of Cross-Shore Sandbars Using Artificial Neural Network by Mert SABANCIOGLU, Mustafa DEMIRCI, Yunus Ziya KAYA

“…Sediment transport is critical for the design of coastal structures. In this paper, beginning points of cross-shore sandbars predicted using artificial neural network (ANN), multi-linear regression (MLR), and Quadratic-Multivariable Regression (Q-MR). …”
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A Quarter Ellipsoidal Reflector Enhancing Fluorescence Collection Efficiency For Multiphoton Microscopes by Yingshun Xu, Nannan Liu, Xuehui Bao, Bin Liu, Hui Shen

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Effects of a structured, family-supported, and patient-centred advance care planning on end-of-life decision making among palliative care patients and their family members: protoco... by Doris Y. P. Leung, Joyce O. K. Chung, Helen Y. L. Chan, Raymond S. K. Lo, Kevin Li, Po Tin Lam, Nancy H. Y. Ng

“…Outcomes of the two groups will be compared using regressions and linear mixed-effects models. Discussion This study will provide rigorous scientific evidence on the effectiveness of a structured and well-design family-supported, patient-centred ACP programme for adult palliative care patients and their family members in the hospital setting. …”
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Damage Identification of Railway Bridge KW51 Conditions Using Deep-Learning-Based 1D CNN Model by Ali Al-Ghalib, Sawsan Mahmoud

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NONLINEAR PROPERTIES OF BARIUM TITANATE CERAMICS by IVAYLO LAZAROV, ANKA ZHEGLOVA

“…The influence of the temperature of sintering on the values of the dielectric permittivity on the structural properties has been determined. The influence of the quantity of the added material on the temperature dependencies and the non-linear properties of the ceramics have been analyzed. …”
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