Application of machine learning algorithms for predicting the life-long physiological effects of zinc oxide Micro/Nano particles on Carum copticum by Maryam Mazaheri-Tirani, Soleyman Dayani, Majid Iranpour Mobarakeh

“…All ML algorithms showed varied efficiencies in predicting the nonlinear relationships among parameters, with higher efficiency in predicting the behavior of root and shoot dry mass, root fresh weight and number of flowers according to R2 index. …”
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THE TEMPERATURE DEPENDENCE OF UNSTEADY HEAT CONDUCTION IN SOLIDS by L. M. Ozherelkova, E. S. Savin

“…Both in the case of high and low temperatures, the temperature dependences of the heat capacity and the thermal conductivity coefficient are power-law, which allows us to bring the original heat conduction equation to a form that allows the use of the classical method of variable separation in solving the corresponding boundary value problems for the heat conduction equation. …”
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The effects of IT capability and distribution competence on business performance of retailers in Omnichannel by Anh T.D. Nguyen

“…To maintain the effectiveness of business operations, increase customer value and enhance competitive advantage, retailers should generate the efficiency of IT and distribution functions. Contribution: Omnichannel is a relatively new channel in Vietnam. …”
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Advances in nursing care for post-stroke limb dysfunction rehabilitation by Jie Bai, Kecheng Chen

“…Clinically validated assessment tools demonstrate variable utility across recovery phases, with the Pittsburgh Rehabilitation Participation Scale offering efficiency in acute settings and the Motivation in Stroke Patients for Rehabilitation Scale providing comprehensive evaluation during subacute and chronic phases. …”
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Determination of parameters of reliability-oriented maintenance of coal mine dump trucks by Chernyh V.G., Otrokov A.V., Grinko D.A., Grinko A.A., Mironova A.O., Bogatyrev A.R.

“…In today's world, where technology is developing at an incredible rate, and requirements for safety and production efficiency are becoming more stringent, a risk-based approach to mining equipment maintenance is very relevant. …”
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An Adiabatic-Expansion-Induced Perturbation Study on Gas–Aerosol Partitioning in Ambient Air—Formation of NH₄NO₃ and Microdroplet Nitrogen Fixation (2) by Yating Gao, Qinchu Fan, Yujiao Zhu, Hengqing Shen, Qi Yuan, Yang Gao, Huiwang Gao, Xiaohong Yao

“…Our results indicate the adiabatic-expansion-induced generation of NH₃ + HNO₃ at ultrafast formation rates, with campaign-dependent stable stoichiometric ratios of HNO₃ to NH₃, as well as highly variable occurrence frequencies and efficiencies. These findings suggest that microdroplet redox reactions are more likely responsible for the generation of NH₃ + HNO₃ than conventional atmospheric NH₃ chemistry. …”
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Comparative Evaluation of 5-<i>n</i>-Alkylresorcinol Extraction Conditions from Wheat Bran via Metabolite Profiling: Implications for Antiproliferative Activity by Ronald Marentes-Culma, Ericsson Coy-Barrera

“…This study aimed to compare the efficiency of eight extraction methods—including Soxhlet, ultrasound-assisted extraction (UAE), and overnight solvent-assisted maceration (OSAM) protocols—used in the removal of ARs from wheat bran, and to evaluate the association between AR composition and antiproliferative activity. …”
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Mitochondrial genome and transcription of Shiraia-like species reveal evolutionary aspects in protein-coding genes by Xiao-Ye Shen, Xue-Ting Cao, Xiao-Bo Huang, Lan Zhuo, Hui-Meng Yang, Li Fan, Cheng-Lin Hou

“…Therefore, these five strains were divided into three groups: ZZZ816 and CNUCC1353PR possessing high production efficiency, CNUCC C72 and JAP103846 with low yield and CNUCC C151 as a transition type. …”
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Classification of petroleum origin and integrity by FTIR by FJ. Guzmán-Osorio, VI. Domínguez-Rodríguez, RH. Adams, CE. Lobato-García, A. Guerrero-Peña, JR. Barajas-Hernández

“…The canonic functions derived from the discriminate analysis had correlation coefficients of 0.994, 0.900, and 0.867, among the variables studied and the classification factor. …”
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An improved robust variance inflation factor: Reducing the negative effects of good leverage points by Osman Ufuk Ekiz

“…It is defined as the function of the coefficient of determination between the explanatory variables, and it is based on the maximum likelihood estimator of the regression coefficients. …”
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Comparison of river and drinking water quality of infiltration intakes based on statistical colour data by Yalaletdinova Alina, Malkova Maria, Vozhdaeva Margarita, Serebryakov Pavel, Kantor Evgeny

“…A significant contribution (79 to 89%) to the variation of the indicator in drinking water is made by random variable. Correlation coefficients calculated from monthly averages revealed a weak relationship (on the Cheddock scale) between river and drinking water colour, whereas correlation coefficients calculated from monthly averages of colour in the model year characterise the relationship at IWI1 as high and very high at IWI2. …”
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The Impact of Corporate Governance on Earnings Management in Palestine: The Moderating Effects of Political Instability by Ali Hassan Ibraheem Aljadba, Norhaziah Nawai, Nur Hidayah Laili

“…The results of this work may assist the regulatory bodies, policymakers, and practitioners in revising the corporate governance code to promote the efficiency of the BOD and AC monitoring functions for the purpose to improve the faithfulness and reliability of financial reports and also to deter the management from engaging in critical levels of EM.…”
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Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control by Cheng Huang, Changqing Du, Longjian Li, Xiangyu Gongye, Yifan Zhao

“…At the same time, the influence of the cost function, the weight coefficient, and the predictive time domain on the torsional vibration suppression effect during the mode transition process are explored in the mMPC strategy design, and the solution time is controlled within 10ms, which meet the real-time requirements. …”
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Histological and molecular characterization of the digestive system of early weaned juveniles of Arapaima sp. reared in a recirculating aquaculture system. by Maria J Darias, Guillain Estivals, Karl B Andree, Christian Fernández-Méndez, Roger Bazán, Chantal Cahu, Enric Gisbert, Diana Castro-Ruiz

“…However, reliance on natural breeding and parental care in earthen ponds results in variable fingerling survival, hindering production. …”
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…Utilization of frequency as a sequential variable handled by RNN is a distinguishing feature of our approach, which leads to the enhancement of dependability and cost efficiency. …”
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The role of digital green accounting and environment performance on forest sustainable development goals: A case study on customary forest in Papu by Otniel Safkaur, Bill Pangayow, Halomoan Hutajulu, Lediana Hanasbe

“…Therefore, Green Accounting is a business concept that focuses on the efficiency and effectiveness of long-term resource use in integrating the customary forest environmental functions and providing social benefits. …”
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Assignment of the cutting mode when boring holes on CNC machine by Yuri Petrakov, Mariia Danylchenko

“…In addition, positive feedback is taken into account through the delay argument function, which represents machining along traces. …”
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Universal Simulation Model of Battery Degradation with Optimization of Parameters by Genetic Algorithm by K. V. Dobrego, I. A. Koznacheev

“…A simple empirical model is presented that does not consider in detail the characteristics of the state of batteries during a separate charge-discharge cycle, and does not include voltaic variables. The model considers the intensity of the current wear of the battery as a function of the state of its charge, temperature, the current of the external circuit and the current of self-discharge, the full charge that has flowed through the battery since the beginning of its operation. …”
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Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks by Aryaman Tamotia, Dhruv Shantu Karmokar, Rethi Komal, K. Khadar Nawas, A. Shahina, A. Nayeemulla Khan

“…One of the critical innovations within this design is a class of trainable activation functions that eliminate the need for traditional weight parameters, thereby providing scalable and computationally efficient solutions. …”
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A Low-Complexity Direction-of-Arrival Estimation Algorithm for Noncircular Signals via Subspace Rotation Technique by Wei Wang, Ming Zhang, Bobin Yao, Tongxing Zheng, Xiaojiao Fan

“…Then, utilizing the separation of variables and the orthogonality between the reduced-dimension noise subspace and the space spanned by the columns of the extended manifold matrix, a new one-dimensional spectral search function is derived to estimate DoAs. …”
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