Pair Correlation Influence on Superconductors Josephson Penetration Depth by Yadhav Poudel, Suresh Prasad Gupta, Narayan Babu Shrestha, Kishori Yadav, Saddam Husain Dhobi

“…Furthermore, the study reveals an exponential decay trend in critical temperature concerning cooper pair correlation, underscoring the pivotal role played by pair correlation in the superconducting state. …”
Get full text

A Deep Learning-Based Ensemble Framework for Robust Android Malware Detection by Sainag Nethala, Pronoy Chopra, Khaja Kamaluddin, Shahid Alam, Soltan Alharbi, Mohammad Alsaffar

“…The exponential growth of Android applications has resulted in a surge of malware threats, posing severe risks to user privacy and data security. …”
Get full text

Machine Learning-Enhanced River Ice Identification in the Complex Tibetan Plateau by Xin Pang, Hongyi Li, Hongrui Ren, Yaru Yang, Qin Zhao, Yiwei Liu, Xiaohua Hao, Liting Niu

“…However, there is still a lack of systematic studies on the ability of machine learning to enhance river ice identification in high-altitude, complex terrains. …”
Get full text

Biological Characteristics and Whole-Genome Analysis of a Porcine <i>E. coli</i> Phage by Shenghui Wan, Nana Li, Sajid Habib, Pei Zheng, Yanfang Li, Yan Liang, Yonggang Qu

“…The optimal MOI for phage Psq-1 was 0.1, with a latent period of 25 min, an exponential growth period of 25 min, and a lysis yield of 44.21 PFU/cell. …”
Get full text

Double weighted k nearest neighbours for binary classification of high dimensional genomic data by Amjad Ali, Zardad Khan, Hailiang Du, Saeed Aldahmani

“…$$\hbox {DW}k\hbox {NN}$$ is specifically designed for gene expression data and incorporates feature weights derived from genes’ ability to express deferentially between classes. …”
Get full text

Towards Standardization of the Earth Observation Data Product Supply Chain – Are OCI Artifacts the Key to Ubiquitous and Scalable EO Data Handling? by S. Achtsnit, S. Achtsnit, M. Rösel, S. Meißl

“…The exponential growth of Earth Observation (EO) data generated by satellites demands scalable, efficient, and interoperable methods not only for storing and managing, but also for distributing data packages tailored to diverse use cases. …”
Get full text

Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network by Aditya Pal, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…The proposed hybrid denoising method has better results than the other methods because of the use of wavelet multi-scale analysis and the ability of the median filter to avoid the loss of vital ECG characteristics. …”
Get full text

Potential Mechanisms of Lactate Dehydrogenase and Bovine Serum Albumin Proteins as Antioxidants: A Mixed Experimental–Computational Study by Jing Ye, Amy Bounds, Madeline Crumpton, Mallory Long, Haley McDonough, Isabella Srikhirisawan, Shanzhen Gao

“…The rate laws, activation energy, and pre-exponential factor A of these reactions provided information on the reaction mechanisms, i.e., a biomolecular elementary step for the reaction of ABTS•− with amino acids tryptophan, tyrosine, cysteine, or protein LDH, and a more complicated mechanism for BSA. …”
Get full text

A computational framework for electro-osmotic flow analysis in Carreau fluids using a hybrid numerical scheme by Muhammad Shoaib Arif, Wasfi Shatanawi, Yasir Nawaz

“…The first stage utilizes an exponential integrator, while the second stage employs a Runge-Kutta method. …”
Get full text

Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…The exponential growth of the Internet of Things (IoT) has resulted in significant data production, characterized by the continuous collection and transmission of data from interconnected devices and sensors to Internet-based storage and processing services. …”
Get full text

Total Phenolic Fraction (TPF) from Extra Virgin Olive Oil: Induction of apoptotic-like cell death in Leishmania spp. promastigotes and in vivo potential of therapeutic immunomodula... by Kalliopi Karampetsou, Olga S Koutsoni, Georgia Gogou, Apostolis Angelis, Leandros-Alexios Skaltsounis, Eleni Dotsika

“…<h4>Methodology/principal findings</h4>We tested the ability of TPF to cause apoptotic-like programmed cell death in L. infantum and L. major exponential-phase promastigotes by evaluating several apoptotic indices, such as reduction of proliferation rate, sub-G0/G1 phase cell cycle arrest, phosphatidylserine externalization, mitochondrial transmembrane potential disruption and increased ROS production, by using flow cytometry and microscopy techniques. …”
Get full text

Reducing locomotive maintenance costs with intelligent software by Valeria A. Butusova, Yuriy A. Davydov, Alexey S. Kushniruk, Denis Yu. Drogolov

“…This data-driven approach addresses the limitations of traditional, generalized maintenance schedules by dynamically adapting to specific operating conditions and leveraging statistical models like Weibull, exponential, and normal distributions to predict failure-free operation. …”
Get full text

Quantitative evaluation of DNA damage repair dynamics to elucidate predictors of autism vs. cancer in individuals with germline PTEN variants. by Ruipeng Wei, Masahiro Hitomi, Tammy Sadler, Lamis Yehia, Daniela Calvetti, Jacob Scott, Charis Eng

“…The dynamics of DDR of γ-irradiated LCLs were analyzed using the exponential decay mathematical model to fit temporal changes in γH2AX levels which report the degree of DNA damage. …”
Get full text

Strand specific RNA-sequencing and membrane lipid profiling reveals growth phase-dependent cold stress response mechanisms in Listeria monocytogenes. by Patricia Hingston, Jessica Chen, Kevin Allen, Lisbeth Truelstrup Hansen, Siyun Wang

“…Increased knowledge of the cold-stress response of this pathogen will enhance the ability to control it in the food-supply-chain. This study utilized strand-specific RNA sequencing and whole cell fatty acid (FA) profiling to characterize the bacterium's cold stress response. …”
Get full text

Time-dependent model for in-situ concrete carbonation depth under combined effects of temperature and relative humidity by Ting Du, Yongjia Cai, Yipu Guo, Jinghao Chen, Sen Chen, Mofang Yuan, Fulin Qu

“…The experimental results align well with the model’s predictions, confirming its ability to accurately forecast carbonation depth of concrete. …”
Get full text

Application of Kolmogorov-Arnold network (KAN) for solitary-Peakon investigation of Lax model by Muhammad Wajahat Anjum, Sana Ullah Saqib, Yin-Tzer Shih, Israr Ul Hassan, Adnan, Ines Hilali Jaghdam, Mouloud Aoudia, Lioua Kolsi

“…Although KANs provide an approximation for solving the KdV-Lax equation, their ability to tackle complex problems makes them a viable choice when an analytical solution is not possible. …”
Get full text

Integrating published experimental data and hierarchical bayesian modeling: a model for common cuttlefish (Sepia officinalis Linnaeus, 1758) growth to improve predictions for aquac... by Enrico Nicola Armelloni, Giuseppe Scarcella, André E. Punt

“…A mathematical description of sub-adult cephalopod Instantaneous Growth Rate (1–120 days after hatching) was formulated as a multistage function, combining a Gaussian function during the post-hatching stages and an exponential decay function during the transition to the pre-adult stages. …”
Get full text

Estimating pathogen spread using structured coalescent and birth–death models: A quantitative comparison by Sophie Seidel, Tanja Stadler, Timothy G. Vaughan

“…Importantly, our study emphasises the value of directly capturing exponential growth dynamics which could be a useful enhancement for structured coalescent models.…”
Get full text

Sex differences in anaerobic performance in CrossFit® athletes: a comparison of three different all-out tests by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Domínguez, Javier Benítez-Porres

“…It is associated with the ability to perform explosive actions and the capacity for rapid recovery between repeated efforts. …”
Get full text

A Bayesian Approach to Step-Stress Partially Accelerated Life Testing for a Novel Lifetime Distribution by Mervat K. Abd Elaal, Hebatalla H. Mohammad, Zakiah I. Kalantan, Abeer A. EL-Helbawy, Gannat R. AL-Dayian, Sara M. Behairy, Reda M. Refaey

“…Bayes estimators of the model parameters and acceleration factor are derived under both symmetric (balanced squared error) and asymmetric (balanced linear exponential) loss functions using informative priors. …”
Get full text