Analisis Pengaruh Suhu dan Tekanan pada Cargo Heater Terhadap Kecepatan Aliran pada Bongkar Muat LPG di Kapal Pertamina Gas 2 by Muhammad Fharhan Fazlih, Tri Haryanto, Henna Nurdiansari, Firdaus Sitepu

“…The method used is causal quantitative with multiple linear regression analysis, supported by direct observation data during the discharge and loading process and data processing through statistical software. …”
Get full text

Side-polished silica-fluoride multimode fibre pump combiner for Mid-IR fibre lasers and amplifiers by Boris Perminov, Kirill Grebnev, Uwe Hübner, Maria Chernysheva

“…The results demonstrate stable coupling efficiency exceeding 80% at a 980-nm wavelength over 8 hours of continuous operation under active thermal control. …”
Get full text

An AI-Driven Particle Filter Technology for Battery System State Estimation and RUL Prediction by Mohamed Ahwiadi, Wilson Wang

“…However, the inherent complexity and non-linear dynamics of Li-ion batteries present specific challenges to traditional methods of SOH modeling. …”
Get full text

SVM-Based Control of Solar PV-Fed B3 Inverter for Variable Speed Induction Motor Drives by Imen Nouira El Badsi, Bassem El Badsi

“…We then develop SV-PWM techniques by approximating the reference vector as a linear combination of these intrinsic vectors, followed by a detailed approach for controlling the power switches. …”
Get full text

Construction of Economical Dip-Coater for the Fabrication of Hydrophobic Coatings by Venkatesh, A. Satyanarayana

“…In this letter, we report the economical construction of an Arduino-based dip-coater that uses a linear actuator consisting of a D.C. motor for the production of hydrophobic coatings. …”
Get full text

BrainSignals Revisited: Simplifying a Computational Model of Cerebral Physiology. by Matthew Caldwell, Tharindi Hapuarachchi, David Highton, Clare Elwell, Martin Smith, Ilias Tachtsidis

“…Taking one such model, BrainSignals, as a starting point, we have developed several variant models in which specific regions of complexity are substituted with much simpler linear approximations. We demonstrate that model behaviour can be maintained whilst achieving a significant reduction in complexity, provided that the linearity assumptions hold. …”
Get full text

Group-based siamese self-supervised learning by Zhongnian Li, Jiayu Wang, Qingcong Geng, Xinzheng Xu

“…When combined with a robust linear protocol, this group self-supervised learning model achieved competitive results in CIFAR-10, CIFAR-100, Tiny ImageNet, and ImageNet-100 classification tasks. …”
Get full text

Corporate digital transformation and carbon emission intensity: Empirical evidence from listed companies in China. by Pengyu Yang, Kejia Guo, Jing Jia, Yulin Yin

“…Digital transformation is crucial for sustainable development of enterprises and for addressing the conundrum of "efficiency and environment". Utilizing a dataset from A-share listed companies in China from 2007 to 2021, this paper investigates the direct impact, underlying mechanism and driving effect of enterprise digital transformation on carbon emission intensity. …”
Get full text

Robust prediction of synthetic gRNA activity and cryptic DNA repair by disentangling cellular CRISPR cleavage outcomes by Stephan Riesenberg, Philipp Kanis, Rosa Karlic, Tomislav Maricic

“…In addition, we develop a homology-directed repair efficiency prediction tool and show that unintended large-scale repair events are common for Cas9 but not for Cas12a, which may be relevant for safety in gene therapy applications.…”
Get full text

Advances in Control Techniques for Rehabilitation Exoskeleton Robots: A Systematic Review by Gazi Mashud, SK Hasan, Nafizul Alam

“…Advanced methods, such as model predictive control (MPC) and Linear Quadratic Regulator (LQR), provide optimization-based solutions. …”
Get full text

Determination of cyanide contents in sorghum, Daqu, and fermented grains using EDTA-2Na-phosphoric acid distillation-automatic flow injection analyzer by XIONG Xiaotong, ZHU Jiaosheng, DU Jiawei, XIE Qianqian, HU Yang, SHEN Rui, CHEN Yanhe

“…The detection method had simple pretreatment, high detection efficiency, accurate and reliable quantitative results. …”
Get full text

FAILURE PREDICTION OF BOLTED CONNECTION OF COMPOSITE MATERIALS BASED ON DEEP LEARNING (MT) by PENG Fan, ZOU SiNong, REN YiRu

“…Aiming at the problem of failure strength analysis and prediction of bolted composite connection, the strong nonlinear mapping ability of deep learning neural network was used to non-linear fit the influence of different parameters on the failure load of composite bolting, and the influence weight of each parameter was allocated. …”
Get full text

Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines by Mustafa Karaköse, Özgün Yücel

“…Data were collected in accordance with the BOTAS Gas Network Code specifications, approved by the Turkish Energy Market Regulatory Authority (EMRA), and generated using DNV GasVLe v3.10 software, which predicts the phase behavior and properties of hydrocarbon-based mixtures under various pressure and temperature conditions. We employed linear regression, decision tree regression, random forest regression, generalized additive models, and artificial neural networks to create prediction models for hydrate formation temperature (HFT). …”
Get full text

Time-Free Solution to Hamilton Path Problems Using P Systems with d-Division by Tao Song, Xun Wang, Hongjiang Zheng

“…In previous works, such systems can theoretically generate exponential working space in linear time and thus provide a way to solve computational hard problems in polynomial time by a space-time tradeoff, where the precise execution time of each evolution rule, one time unit, plays a crucial role. …”
Get full text

Hygrobot: Hydrogen-Powered Mobile Robotic Platform for Rough Terrain: Electro-Mechanical Design, Physical Implementation, and Experimental Testing by Cirilo Delgado Asencio, Francisca Segura Manzano, José Manuel Andújar Márquez

“…Experimental tests reveal that the Hygrobot platform can achieve a linear speed of 17 km/h, a continuous operating time of over 8 h, and power consumption below 324 WA. …”
Get full text

Nonlinear time series analysis of nodulation factor induced calcium oscillations: evidence for deterministic chaos? by Saul Hazledine, Jongho Sun, Derin Wysham, J Allan Downie, Giles E D Oldroyd, Richard J Morris

“…We build up evidence through a series of techniques that test for determinism, quantify linear and nonlinear components, and measure the local divergence of the system. …”
Get full text

Star Classifier Head on Deformable Attention Vision Transformer for Small Datasets by Muhammad Izzah Alfatih, Suryo Adhi Wibowo

“…The star operation captures high-dimensional and non-linear feature spaces from low-dimensional inputs, enhancing the model’s ability to learn complex patterns. …”
Get full text

Optimization of social security patrol strategy based on graph theory and GGC algorithm by Jian Wang

“…In addition, the revenue of the GGC algorithm based on multi-linear programming for solving the A and B game patrol models was (15.0, -30.0) and (21.1, -38.2), respectively, which were superior to other strategies. …”
Get full text

Matrix Method of Defect Analysis for Structures with Areas of Considerable Stiffness Differences by Monika Mackiewicz, Tadeusz Chyży

“…An original functional for modifying linear shape function distributions is introduced, leading to piecewise broken-line shape functions. …”
Get full text

The Association of Delayed Milk Ejection and Milk Production in Dairy Cows Milked by an Automated Milking System by Matthias Wieland, Heleen ten Have

“…Using data from a farm milking approximately 1350 cows, we analyzed 689,484 individual milking records and 194,142 daily cow observations over 350 days with generalized linear mixed models. Cows with DME generally had higher daily milk yields, regardless of lactation number. …”
Get full text