CARBON-FIBRE-REINFORCED POLYMER PARTS EFFECT ON SPACECRAFT OPTOELECTRONIC MODULE LENS SCATTERING by S. S. Kolasha, R. V. Fiodortсev, A. V. Starovoitov

“…Carbon fiber reinforced polymer based composite constructive materials is an efficient solution that allows reducing weight and dimensions of large optoelectronic modules 1,5–3 times and the coefficient of linear thermal expansion 15–20 times if compared with metals. …”
Get full text

Retracted: Computer Medical Image Segmentation Based on Neural Network by Xiaopeng Wang, Lei Gu, Zhongyi Wang

“…This method introduces a non-linear template and data quantization on the basis of a basic network model, which greatly reduces the computational complexity while maintaining the accuracy of image segmentation. …”
Get full text

Rehabilitation Professionals' Self‐Perceived Competence in Safe Patient Handling and Mobility Methods Before and After Training: A Cohort Study by Jeanette Melin, Nicola Parmelund, Magnus Johansson

“…By enhancing competence among rehabilitation professionals, HMC training has the potential to advance working person‐centered and efficient transfer practices in interdisciplinary care settings.…”
Get full text

Point of care creatinine testing for early detection of renal dysfunction in Tanzanian HIV patients: a study protocol by Daniel Msilanga, Anthony Muiru, Emmanuel Balandya, Kathleen Liu

“…The diagnostic performance and agreement to diagnose renal dysfunction will be assessed using a standardized statistical approach: Bland-Altman analysis and linear mixed-effects models to test agreement between creatinine dipstick tests with serum creatinine. …”
Get full text

Sequence-to-Sequence Text Generation with Discrete Diffusion Models by JIANG Hang, CAI Guoyong, LI Sihui

“…Compared with the original linear noise schedule, the high noise interval in time steps becomes larger, and the model will focus more on learning how to recover data from high noise data that are common encountered by the model in the first few rounds of inference. …”
Get full text

Biochemical blood values of ewes in the first month of lactation and their relation to milk productivity by Ya. A. Zharikov

“…There was no significant linear variation of the metabolites during the transition from group to group. …”
Get full text

A novel ensemble ARIMA‐LSTM approach for evaluating COVID‐19 cases and future outbreak preparedness by Somit Jain, Shobhit Agrawal, Eshaan Mohapatra, Kathiravan Srinivasan

“…Methods The proposed approach combines auto‐regressive integrated moving average (ARIMA)'s ability to capture linear trends and seasonality with long short‐term memory (LSTM) networks, which are designed to learn complex nonlinear dependencies in the data. …”
Get full text

Penalty Strategies in Semiparametric Regression Models by Ayuba Jack Alhassan, S. Ejaz Ahmed, Dursun Aydin, Ersin Yilmaz

“…This study includes a comprehensive evaluation of six penalty estimation strategies for partially linear models (PLRMs), focusing on their performance in the presence of multicollinearity and their ability to handle both parametric and nonparametric components. …”
Get full text

Reconstructing higher-resolution four-dimensional time-varying volumetric data by Ji Ma, Jinjin Chen

“…To demonstrate its advantages, we compared it qualitatively and quantitatively with five state-of-the-art super-resolution techniques, namely SSR-TVD, Tricubic, SRResNet, Cubic, and Linear. Furthermore, we conducted an ablation study to validate its important modules. …”
Get full text

A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification by Lilu Wang, Yongqi Li, Haiyuan Liu, Taihui Liu

“…In the encoder, we optimize the attention mechanism by integrating the individual linear mappings of queries, keys, and values into an efficient operation, reducing memory access overhead by 60%. …”
Get full text

TEMPERATURE AND PRECIPITATION AS PREDICTORS OF SPECIES RICHNESS IN NORTHERN ANDEAN AMPHIBIANS FROM COLOMBIA by Ortiz-Yusty Carlos Eduardo, Páez Vivian, Zapata Fernando

“…We explored the</div><div>relationship between species richness and environment using two global regression</div><div>models (the Ordinary Least Squares “OLS” and Generalized Linear Squares</div><div>“GLS” models) and one local model (the Geographically Weighted Regression</div><div>“GWR” model). …”
Get full text

LoRA Fusion: Enhancing Image Generation by Dooho Choi, Jeonghyeon Im, Yunsick Sung

“…The technique offers a more efficient and scalable solution for domain adaptation in large language models, effectively maintaining stability and performance as it adapts to new tasks. …”
Get full text

Implementation of Intrusion detection and prevention with Deep Learning in Cloud Computing by Doddi Srilatha, N. Thillaiarasu

“…With our approach, we can apply a variety of machine learning techniques like linear regression, Random Forest and ID3. The efficient IDPS is indeed implemented and tested in a network environment utilizing several machine learning methods. …”
Get full text

The Role of Regional Original Income, Regional Size, and Transfer Funds in Improving Regional Financial Performance by Rahmi Nur Islami, Rudy Bin Ansar, Tengku Putri Azizah

“…The data used is secondary quantitative data, and the analysis is conducted using multiple linear regression with classical assumption tests. …”
Get full text

Flexibility-Constrained Energy Management of Smart Energy Hubs Considering Peer to Peer Transactive Energy and Demand Response Program by Ali Riki, Mahmoud Oukati Sadegh, Omid Narouei

“…The proposed model is a Mix Integer Non-Linear Problem (MINLP), which was solved using SCIP solver in GAMS software. …”
Get full text

Forecasting the effects of land use scenarios on farmland birds reveal a potential mitigation of climate change impacts. by Karine Princé, Romain Lorrillière, Morgane Barbet-Massin, François Léger, Frédéric Jiguet

“…We also developed six farmland cover scenarios, based on expert opinion, which cover a wide spectrum of potential changes in livestock farming and cropping patterns by 2050. We ran generalized linear mixed models to calibrate the effects of farmland cover and climate change on bird specific abundance within 386 small agricultural regions. …”
Get full text

Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…In addition, this study divided the brain regions into the left and right temporal lobes and extracted both linear and nonlinear features to comprehensively capture the complexity and dynamic behavior of EEG signals, enhancing the model’s ability to distinguish features across different brain regions. …”
Get full text

LS-MambaNet: Integrating Large Strip Convolution and Mamba Network for Remote Sensing Object Detection by Lingyu Yan, Zijian He, Zhiqi Zhang, Guangqi Xie

“…Recently, Mamba-based methods have become hot in the field of target detection and show significant potential in capturing remote dependencies with linear complexity but lack in-depth customization for remote sensing targets. …”
Get full text

CERAMIC: Case-Control Association Testing in Samples with Related Individuals, Based on Retrospective Mixed Model Analysis with Adjustment for Covariates. by Sheng Zhong, Duo Jiang, Mary Sara McPeek

“…We propose CERAMIC, an estimating equation approach that can be viewed as a hybrid of logistic regression and linear mixed-effects model (LMM) approaches. CERAMIC extends the recently proposed CARAT method to allow samples with related individuals and to incorporate partially missing data. …”
Get full text

An IGDT‐stochastic model for low‐carbon economic dispatch of integrated electricity‐natural gas systems considering grid‐enhancing technologies by Amir Talebi, Masoud Agabalaye‐Rahvar, Behnam Mohammadi‐Ivatloo, Kazem Zare, Amjad Anvari‐Moghaddam

“…To manage uncertainties associated with wind power and DR program, the proposed model is formulated as an IGDT‐stochastic problem. For efficient computation purposes, the present work follows the mixed‐integer linear programming framework. …”
Get full text