Sensitivity and optimization study on heat transfer enhancement of MHD hybrid nanofluid radiative transient flow past a spinning surface with quadratic Boussinesq approximation and... by Thirupathi Thumma, Surender Ontela, Rupalaksmi Dharanikota

“…This paper presents an advanced numerical investigation of the heat transfer enhancement in a magnetohydrodynamic (MHD) hybrid nanofluid radiative transient flow past a spinning surface, incorporating the complex effects of quadratic Boussinesq approximation, variable suction, and Hall currents. Employing the Finite Element Method (FEM) with the Galerkin weighted residual approach and linear approximation functions, the study explores the intricate interactions between these factors. …”
Get full text

Influences of intelligent predictive networks on thermal efficiency of radiative magnetohydrodynamics hybrid nanofluid flow considering heat absorption-generation aspects by Muhammad Habib Ullah Khan, Waqar Azeem Khan, Taseer Muhammad, Marei S. Alqarni, Hamid Qureshi, Iftikhar Hussain

“…The research on HNFs is on peak and results revealed the efficient heat transfer properties of these liquids which are working as primary agents for industrial use. …”
Get full text

PROBABILITY ANALYSIS ON LAST PLY FAILURE OF COMPOSITE LAMINATES BASED ON UNIVERSAL GENERATING FUNCTION METHOD by LIU ChengLong, ZHOU JinYu, QIU Rui, ZHUANG BaiLiang, HU Jian

“…In the complex operation of universal generating function, K-means clustering and like terms collecting techniques are used to reduce computational costs and improve efficiency. …”
Get full text

Some of the personal and functional characteristics of agricultural extension workers and their relation to the level of their performance in Babylon Province by Anhar M.A. Hassan, Majid K. Ali

“…<br />  The researcher recommended that the Directorates responsible for training the staff in order to prepare them and raise the efficiency of their job performance in preparing training courses on the content of their material in the fields of extension work carried out by the workers in agricultural extension taking into consideration the variables that showed a relationship of significant correlation in the preparation of training courses.…”
Get full text

Strategies to scale up the technical, allocative and economic efficiency of major millet growing farmers in India – A primal system approach by Kannan Thomas Felix, K.B. Ramappa, Padma Lakshmi Govindarajan

“…Millet farming, a sustainable and economically viable option for farmers, providing resilience against climate variability and market fluctuations. Despite the increasing significance of millets in agriculture, there is a notable research gap concerning the efficiency of their cultivation and its impact on input demand and costs. …”
Get full text

Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…This study proposes an approach to enhance the efficiency of supervised vegetation mapping in complex landscapes, integrating Multivariate Functional Principal Component Analysis (MFPCA) applied to the Sentinel-2 time series with drone-based ground truthing. …”
Get full text

Analysis of Stream Function in a Powell-Eyring Fluid Flow with Couple-Stress Effect and Rotation by Rana Ghazi, Liqaa Zeki Hummady

“…In flow analysis, assumptions such as a low Reynolds number and a long wavelength approximation are used. The stream function and mechanical efficiency have closed form expressions devised. …”
Get full text

Expression and functional characterization of an anti-CD22 scFv targeting B-cell malignancies by Monireh Gholizadeh, Shahriyar Abdoli, Shafieeh Mansoori, Arash Arashkia, Farhad Riazi-Rad, Amir Ali Hamidieh, Mohammad Nouri, Zahra Sharifzadeh

“…Background and purpose: Single-chain variable fragments (scFvs) offer advantages over full-length monoclonal antibodies in cancer therapy, including reduced size, lower production costs, and easier handling. …”
Get full text

Development of a Functional Yogurt Containing Probiotics and Phenolic Compounds of Coffee Encapsulated in Alginate Beads by Aurora Viridiana Toalá-Gómez, Claudia Mendoza-Avendaño, Maria Celina Lujan-Hidalgo, Miguel Angel Ruiz-Cabrera, Alicia Grajales-Lagunes, Enna Berenice Estudillo-Diaz, Lucia Maria Cristina Ventura Canseco, Gabriela Palacios-Pola, Miguel Abud-Archila

“…The research considered variables such as alginate concentration (1.5% and 3%), crosslinking time (8 and 20 min), and the inclusion of chitosan. …”
Get full text

Machine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson’s Disease Mobility Assessments by Rana M. Khalil, Lisa M. Shulman, Ann L. Gruber-Baldini, Sunita Shakya, Jeffrey M. Hausdorff, Rainer von Coelln, Michael P. Cummings

“…Although the total duration remains relatively consistent between trials (intraclass correlation coefficient (ICC) = 0.62 to 0.95), greater variability is seen in subtask duration and sensor-derived measures, reflected in machine learning performance and statistical differences. …”
Get full text

Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

Get full text

Depth-dependent contributions of various vascular zones to cerebral autoregulation and functional hyperemia: An in-silico analysis. by Hadi Esfandi, Mahshad Javidan, Rozalyn M Anderson, Ramin Pashaie

“…However, temporal alterations in capillary diameter contribute moderately to cerebral autoregulation and minimally to functional hyperemia. In addition, hemodynamic analysis shows that while hemodynamics within capillaries remain relatively stable across all cortical depths throughout the entire autoregulation range, significant variability in hemodynamics can be observed within the first few branch orders of precapillary arterioles or transitional zone vessels. …”
Get full text

Rapid global antenna design by simplex regressors and multi-resolution simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski, Leifur Leiffson

Get full text

On an Optimal Quadrature Formula for Classes of Functions Given by Modulus of Continuity by M. Sh. Shabozov

Get full text

Cross-Modal Hashing Retrieval Based on Density Clustering by Xiaojun Qi, Xianhua Zeng, Hongmei Tang

Get full text

Structural Analysis of Multi-Core Processor and Reliability Evaluation Model by Sergo Tsiramua, Hamlet Meladze, Tinatin Davitashvili, Jose-Maria Sanchez-Sáez, Francisco Criado-Aldeanueva

“…In the present paper, the models of structural analysis and evaluation of efficiency indicators (reliability, fault tolerance, viability, and flexibility) of a multi-core processor with variable structure, equipped with multi-functional cores, are considered. …”
Get full text

A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events by Alireza Fakhim Babaei, Jafar Tanha, Mohammad Ali Balafar, Seyedehsan Roshan

“…Detecting sleep apnea accurately and efficiently presents several challenges, including variability in physiological signals among individuals and class imbalance for apnea events. …”
Get full text

Analyzing execution path non-determinism of the Linux kernel in different scenarios by Yucong Chen, Xianzhi Tang, Shuaixin Xu, Fangfang Zhu, Qingguo Zhou, Tien-Hsiung Weng

“…However, the execution path of a system call is effectively non-deterministic in Linux kernel space, which challenges the test coverage-based verification recommended by the functional safety standards. This research analyzes the influence of system state on Linux kernel path variability from two perspectives: file system type and system load. …”
Get full text

Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

“…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
Get full text

Assessing variability and detecting the effective traits on yield of chickpea (Cicer arietinum L.) promising lines under drought stress condition by Sayyed Saeed Moosavi, Mohammad Reza Abdollahi, Fatemeh Abdi, Homayoun Kanouni

Get full text