A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

“…A fine-grained analysis of cross-domain interactions quantifies a near-linear competition between code and math, while showing that tool use data exhibits minimal interference. …”
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Special times? How COVID-specific concerns disrupted fertility desires in the United States during the COVID-19 pandemic by Yining Yang, Grace Kao

“…Then we employed multinomial logistic regression and linear regression models to examine how COVID-specific concerns and hardships were associated with fertility desires in late 2020 and late 2021. …”
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Inlet Pressure Effects on Subatmospheric Flame Stabilization with an Optimum Size of a Cavity-Based Combustor by Yakun Huang, Xiaomin He, Zhixin Zhu, Huanyu Zhu

“…The increase in inlet pressure will lead to a linear decrease in the lean blowout equivalence ratio with a slope of 0.66 per 0.1 MPa, whereas the lean ignition equivalence ratio has a rapid drop with the increase of pressure from 0.06 MPa to 0.08 MPa and reduces slowly with the growth of pressure in the range of 0.08 MPa to 0.1 MPa. …”
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Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms by Nikolaos Servos, Xiaodi Liu, Michael Teucke, Michael Freitag

“…Machine Learning (ML) algorithms are well suited to solve non-linear and complex relationships in the collected tracking data. …”
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Safety application ratio and environmental capacity of partial substitution of chemical nitrogen fertilizer with organic fertilizer: a case study of cultivation of lettuce in typic... by GU Siting, CHEN Jian, LI Zhiyang, SHI Jiachun

“…Pot experiments of lettuce in nine different typical types of soils, combined with multiple linear regression and static capacity model of soil environment, were conducted, and the effects of different ratios of substituting chemical nitrogen fertilizer by organic fertilizer on soil environmental quality, yield, and the safety of agricultural products and soil environmental capacity were studied. …”
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Factors Associated with Occupancy Level in a High- Complexity Emergency Department in Medellín by Estrada-Atehortúa, Andrés Felipe, Arroyave-Peña, Tatiana, Quiroz-Álvarez, Juan Esteban, Giraldo-Hoyos, Jaime Andrés, Bareño-Silva, José

“…Statistical analysis included univariate, bivariate (Chi-square and Spearman correlation), and multivariate (multiple linear regression) analyses. Results: NEDOCS indicated dangerously overcrowded conditions 98.2% of the time. …”
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Second-Order Cone Programming for Linepack in Multistage Stochastic Co-Expansion Planning Power and Natural Gas Systems with Natural Gas Storage by Arash Gholami, Hamed Nafisi, Hossein Askarian-Abyaneh, Ali Jahanbani Ardakani, Zahra Shad

“…Natural gas load flow (NGLF) is modeled with the Weymouth equation, a non-linear and non-convex problem. In order to overcome the non-convexity of the problem, mixed-integer second-order cone programming (MISOCP) is utilized to solve NGLF. …”
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Molecular rotor as a high-temperature Brownian motor by O. Ye. Tsomyk, T. Ye. Korochkova, V. M. Rozenbaum

“…Moreover, there exists a qualitative difference, in the low-frequency asymptotics of the rotor velocity, between harmonic and stepwise external field: the average velocity of rotation is proportional to the square of the field modulation frequency in the former case, and it is the linear function of the frequency in the later case.…”
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About the modeling of light beam self-focusing in plasma at the irradiation of the target by power UV laser by I. G. Lebo

“…Numerical simulations were carried out on the gas-dynamic profiles (linear and exponential). It was shown that thermal self-focusing could develop at the conditions of “GARPUN” experiments (~ 1 mm longitudinal plasma, moderate radiation intensity: 1011–1012(W/cm2) × µm2).  …”
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Soft Electronic Switches and Adaptive Logic Gates Based on Nanostructured Gold Networks by Giacomo Nadalini, Alexander Dallinger, Davide Sottocorno, Francesco Greco, Francesca Borghi, Paolo Milani

“…The description and the control of the non‐linear, resistive switching electrical properties are demonstrated by the development of soft mechano‐responsive electronic switches and soft reconfigurable logic gates. …”
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Achieving socio-economic resilience in neighborhood through nature-based solutions: A systematic review by Basem Hegazy, Laila Khodeir, Fatma Fathy

“…Presently, urban systems function within a linear and inefficient framework, particularly noticeable in critical sectors such as food, energy, and water. …”
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Naive Bayes Classification for Software Defect Prediction by Edwin Hari Agus Prastyo, Muhammad Ainul Yaqin, Suhartono, M. Faisal, Reza Augusta Jannatul Firdaus

“…Additionally, through linear regression analysis, the model exhibits an intercept value of -0.09359968 and a coef coefficient of 0.00761893. …”
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Ultrasound assisted magnetic dispersive solid phase microextraction for Hg determination in fuel oils using inductively coupled plasma optical emission spectroscopy by Mxolisi J. Kiwanuka, Philiswa N. Nomngongo, Nomvano Mketo

“…Under the optimized conditions, the dynamic linear range of 0.1 to 100 µg/L (R2 = 0.999) was obtained. …”
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Two-years of stratospheric chemistry perturbations from the 2019–2020 Australian wildfire smoke by K. Stone, S. Solomon, P. Yu, D. M. Murphy, D. Kinnison, J. Guan

“…This was achieved by calculating the HCl solubility in mixed wildfire and sulfate aerosols consistent with assumptions of (1) liquid–liquid phase separation and (2) linear dependence on organic and sulfate composition. …”
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Effects of Initial Nitrate Concentrations and Photocatalyst Dosages on Ammonium Ion in Synthetic Wastewater Treated by Photocatalytic Reduction by Orawan Rojviroon, Sanya Sirivithayapakorn, Thammasak Rojviroon, Chalermraj Wantawin

“…For both photocatalysts, the remaining NH4+ was predominantly determined by [NO3−]0; higher [NO3−]0 led to higher NH4+. Multiple linear regression analysis confirmed the dominant role of [NO3−]0 in the remaining NH4+. …”
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A Novel Multi-Dynamic Coupled Neural Mass Model of SSVEP by Hongqi Li, Yujuan Wang, Peirong Fu

“…To overcome these limitations, this study proposes a novel neural mass model for SSVEP simulation by integrating frequency response characteristics with dual-region coupling mechanisms. Specific parallel linear transformation functions were designed based on SSVEP frequency responses, and weight coefficient matrices were determined according to the frequency band energy distribution under different visual stimulation frequencies in the pre-recorded SSVEP signals. …”
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Study on acoustic emission evolution features of gas-bearing coal under different gas pressures by Yejiao Liu, Fu Gao, Wenjie Yan, Zeyu Duan, Guangbo Chen, Fengyi Jiang, Zhichao Tian, Jinliang Li

“…The results show that the acoustic emission feature parameters of gas-bearing coal samples show a significant linear decreasing trend with the increase of gas pressure. …”
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Development of a Power Calculation Model of Hybrid-Sized Wave Energy Converter Arrays by Anru Fan, Huibo Zhang, Yijia Zhang, Junchen Liu, Jinming Yao

“…In this paper, a time-domain power calculation model of hybrid-sized wave energy converter arrays is proposed. Based on linear wave theory, a frequency-domain hydrodynamic model is constructed and transformed into a time-domain model. …”
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Generalized Estimating Equation Model Based Recursive Partitioning: Application to Distracted Driving by Hyoshin Park, Nigel Pugh

“…Even though Generalized Estimating Equations procedure extends generalized linear model to allow for analysis of repeated measurements or other correlated observations, the nonlinear relationship between independent variables and dependent variable could significantly hinder the model’s performance. …”
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Emotion Modeling in Speech Signals: Discrete Wavelet Transform and Machine Learning Tools for Emotion Recognition System by K. Daqrouq, A. Balamesh, O. Alrusaini, A. Alkhateeb, A. S. Balamash

“…This study proposes a novel approach for emotion modeling using speech signals by combining discrete wavelet transform (DWT) with linear prediction coding (LPC). The performance of various classifiers, including support vector machine (SVM), K-Nearest Neighbors (KNN), Efficient Logistic Regression, Naive Bayes, Ensemble, and Neural Network, was evaluated for emotion classification using the EMO-DB dataset. …”
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