A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

“…However, since ON/OFF of the switch is determined through model-based cost function comparison, the switching frequency is variable and a separate modulator is not used. …”
Get full text

THE EFFICIENCY IMPROVING OF PILOTS AND CADETS TRAINING TO SAFETY CONTROL USING THE MODIFICATIONS OF CLASSICAL METHOD OF "ROY" (PSO) by V. V. Yurasov, L. A. Yurasova

Get full text

A new method for routing protocols using hybrid fuzzy clustering in UWSNs by Xiaoju Wang, Bin Meng, Xuexu Yuan, Junwei Zhao

“…Besides, the new scheme improved energy variance by 40% at nodes to prolong the network lifetime and maintain a higher throughput in conditions of variable network load. This fuzzy clustering technique stands apart because it tries to overcome UWSN-specific challenges using adaptive data aggregation along with multistep communication and hence is more resistant and energy-efficient compared to the conventional protocols.…”
Get full text

SYNTHESIS METHODS OF ALGEBRAIC NORMAL FORM OF MANY-VALUED LOGIC FUNCTIONS by A. V. Sokolov, O. N. Zhdanov, O. A. Ayvazian

“…We propose the hypothesis, which determines the rules of the synthesis of these matrices for the transformation from the truth table to the coefficients of the algebraic normal form and the inverse transform for any given number of variables of 3-functions or 5-functions. …”
Get full text

Can Emotional and Behavioral Dysregulation in Youth Be Decoded from Functional Neuroimaging? by Liana C L Portugal, Maria João Rosa, Anil Rao, Genna Bebko, Michele A Bertocci, Amanda K Hinze, Lisa Bonar, Jorge R C Almeida, Susan B Perlman, Amelia Versace, Claudiu Schirda, Michael Travis, Mary Kay Gill, Christine Demeter, Vaibhav A Diwadkar, Gary Ciuffetelli, Eric Rodriguez, Erika E Forbes, Jeffrey L Sunshine, Scott K Holland, Robert A Kowatch, Boris Birmaher, David Axelson, Sarah M Horwitz, Eugene L Arnold, Mary A Fristad, Eric A Youngstrom, Robert L Findling, Mirtes Pereira, Leticia Oliveira, Mary L Phillips, Janaina Mourao-Miranda

“…Medication was treated as a binary confounding variable. Decoded and actual clinical scores were compared using Pearson's correlation coefficient (r) and mean squared error (MSE) to evaluate the models. …”
Get full text

MScope: A Reliable Battery for Functional Status Assessment in Multiple Sclerosis by Daniel Lisardo, Susana López-Ortiz, Irati Jauregui-Fajardo, José Pinto-Fraga, Celia García-Chico, Alba Chavarría-Miranda, Nieves Téllez, Sergio Maroto-Izquierdo

“…Neuromuscular assessments showed strong reliability with minor day-to-day variability (ICC = 0.75–0.95, CV < 8%). The battery’s overall consistency supports its use as a reliable tool for assessing functional status in MS patients.…”
Get full text

Impact of vertebral derotation on ventilatory function and chest circumference in adolescent scoliosis by Khaled Takey Ahmed, Abla Mohammed Hamed, Akram Mohamed Helmy, Walaa Mohsen Mohamed, Heba A. Bahey El - Deen, Youssry El Hawary

“…Introduction Scoliosis has been associated with thoracic cavity alterations that impair pulmonary function. Correcting scoliotic deformity regains normal pulmonary function by maintaining respiratory and muscular efficiency. …”
Get full text

The Parameters of Cleaning a CIP System Affected Energy Consumption and Cleaning Efficiency of the Plate Heat Exchanger by Piepiórka-Stepuk Joanna, Diakun Jarosław, Jakubowski Marek

Get full text

Long-term mean climate and seasonal variability drive spatial patterns of forage production fluctuation trends across California annual grasslands by Zheng Li, Leslie M Roche, Steven Ostoja, Yufang Jin

“…Forage production is integral to the ecological and economic functions of rangeland ecosystems worldwide and is characteristically highly variable. …”
Get full text

Productive wetlands restored for carbon sequestration quickly become net CO2 sinks with site-level factors driving uptake variability. by Alex C Valach, Kuno Kasak, Kyle S Hemes, Tyler L Anthony, Iryna Dronova, Sophie Taddeo, Whendee L Silver, Daphne Szutu, Joseph Verfaillie, Dennis D Baldocchi

Get full text

EFFECTS OF ISOKINETIC RESISTANCE TRAINING ON STRENGTH KNEE STABILIZERS AND PERFORMANCE EFFICIENCY OF ACROBATIC ELEMENTS IN ARTISTIC GYMNASTICS by Muhamed Tabaković, Almir Atiković, Elvir Kazazović, Senad Turković

Get full text

Cross-subject affective analysis based on dynamic brain functional networks by Lifeng You, Tianyu Zhong, Erheng He, Xuejie Liu, Qinghua Zhong

“…However, due to inter-subject variability and non-smoothness of EEG signals, the generalization performance of models across subjects remains a challenge.MethodsIn this study, we proposed a novel approach that combines time-frequency analysis and brain functional networks to construct dynamic brain functional networks using sliding time windows. …”
Get full text

Differential Transform Algorithm for Functional Differential Equations with Time-Dependent Delays by Josef Rebenda, Zuzana Pátíková

“…We focus on retarded equations with delays which in general are functions of the independent variable. The delayed differential equation is turned into an ordinary differential equation using the method of steps. …”
Get full text

A Versatile Distribution Based on the Incomplete Gamma Function: Characterization and Applications by Jimmy Reyes, Carolina Marchant, Karol I. Santoro, Yuri A. Iriarte

“…We analyze the probability density function and explore fundamental properties, including moments, skewness, and kurtosis coefficients. …”
Get full text

Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

“…This now leads to a maximum Nash-Sutcliffe Efficiency of 0.91 for the Saint-Venant equations during the 2019 flood event, followed by ANN with 0.89, ANFIS with 0.87, SVM with 0.85, and lastly, Transfer Function with 0.78. …”
Get full text

Fuzzy Logic Technique Based on Classification Function Application in Quality Control by Salman Hussien Omran, Salam Waley Shneen, Batool Ibrahim Jameel, Omar Hassoon, Mohammed A. Fayad, Firas Basim Ismail

“…Fuzzy control charts were used to quickly and accurately identify the production specifications and efficiency. This work uses the triangle membership function to generate fuzzy numbers, which are then transformed into quality control charts for the real data obtained using the proposed ranking function. …”
Get full text

Novel Pythagorean fuzzy score function to optimize fuzzy transportation models by Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M.K. Sharma

“…Through comprehensive numerical analysis, In Type-1 IVPFTP the cost dropped from 5.19 to 0.675, for Type-2 IVPFTP cost dropped from 0.2615 to 0.001869 and for Type-3 IVPFTP cost dropped from0.17435 to 0.0013879.Thereafter, it was observed that the proposed score function provides a more optimal transportation cost.Also, our findings demonstrate the significant cost reductions and improved decision-making capabilities across different types of IVPFTP models to highlight the efficiency of the proposed score function in handling uncertainty within the transportation problems.…”
Get full text

An Efficient Petrov–Galerkin Scheme for the Euler–Bernoulli Beam Equation via Second-Kind Chebyshev Polynomials by Youssri Hassan Youssri, Waleed Mohamed Abd-Elhameed, Amr Ahmed Elmasry, Ahmed Gamal Atta

“…To make PGM application easier, explicit formulas for the inner product between these basis functions and their derivatives with second-kind Chebyshev polynomials are derived. …”
Get full text

Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

“…Proper training and inference occur in resource-limited settings for SOResNet, thanks to combining learning rate variables and different loss functions. Compared to the conventional method, SOResNet data smoothing saves 2 % of CPU, 2.5 % of electricity and 3 % in energy overhead. …”
Get full text

Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization by Kohei Nakamura, Daigo Furuya, Yoshio Miura, Takahiro Yamazaki, Alexandre Lira Foggiatto, Yuma Iwasaki, Masato Kotsugi

“…This study presents an efficient magnetic material exploring method with large magnetocrystalline anisotropy (MCA) and thermodynamic stability by combining multi-objective Bayesian optimization (MBO) with first-principles calculations. …”
Get full text