Exploiting Temporal Variability in TCP Timestamps for Covert Channel Design by Silvio R. A. O. Filho, Claudio A. S. Lelis, Eric T. E. Soares, Cesar A. C. Marcondes

“…It demonstrates that it is possible to enhance both stealth and reliability in covert communication, providing a practical reference for secure data transmission in real-world network environments.…”
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Multiple-model based prediction of weekly discharge of the Brahmaputra-Jamuna by assimilating antecedent hydrological regime by Md. Abdur Rahim, Shuang Liu, Kaiheng Hu, Hao Li, Md. Anwarul Abedin, Fatima Akter

“…Weekly observed discharge and ERA5 reanalysis rainfall data with lag times from 1976 to 2022 were used for model calibration and validation. …”
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Students with disabilities in higher education call for personal empowerment, equitable inclusive systems, and individualized accommodations by Paul A. Bartolo, Michelle Borg, Anne-Marie Callus, Liberato Camilleri, Alistair De Gaetano, Marchita Mangiafico, Edward Mazzacano D'Amato, Carmen Sammut, Ramona Vella Vidal, Jonathan Vincent

“…This study aims to deepen our understanding of these challenges through the perceptions of students with disabilities themselves.MethodsParticipants were students with disabilities enrolled at the University of Malta. Data was collected through a student survey with quantitative and open-ended questions and semi-structured interviews with students on their aspirations, on how far they felt enabled to participate in the university academic and social environments, and on how useful were the individual accommodations provided for their equitable participation. …”
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Optimizing energy constrained target localization and tracking with radial bias and seeker optimization algorithms in wireless sensor networks by S. Yazhinian, S. Famila, P. Jose, Mahendar A, Sofia R

“…The RB technique enhances localization accuracy by refining the position estimates of the target, while the SOA optimizes sensor deployment and data transmission paths to minimize energy consumption. …”
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Advances in Timed Artificial Insemination: Integrating Omics Technologies for Enhanced Reproductive Efficiency in Dairy Cattle by Jesse Oluwaseun Ayantoye, Hubdar Ali Kolachi, Xiaomeng Zhang, Muhammad Shahzad, Omaima Mohamed Tawfik Kandil, Pengcheng Wan, Xueming Zhao

“…Future directions highlight the need for interdisciplinary approaches combining molecular insights with robust on-farm applications to improve fertility outcomes and reduce reliance on blanket synchronization methods. …”
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Dynamic mechanical response and failure behaviour of AlMgB14-based ceramic: experimental observation, constitutive modelling and ballistic performance evaluation by Yanyan Lu, Zheng Xu, Yushu Zhang, Tao Suo, Jingxian Zhang, Jianhong Hou, Wenzhi Wang

“…Additionally, experimental data and numerical simulations were used to determine the parameters of the Johnson–Holmquist II (JH-2) constitutive model. …”
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Genome-Wide Association Analysis of Sweet Pepper (<i>Capsicum annuum</i>) Based on Agronomic Traits Using PepperSNP50K by Yaolong Wang, Entong Li, Jiawei Lu, Jing Wang, Qiaolu Zang, Yanping Liang, Ruxia Tian, Changwei Zhang, Fangling Jiang, Yan Cheng

“…Subsequently, phenotypic surveys were performed on 217 sweet pepper samples, and the collected phenotypic data were integrated with SNP markers to conduct a genome-wide association study (GWAS) of key agronomic traits. …”
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FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image by Siyuan Zhao, Yong Kang, Hang Yuan, Guan Wang, Hui Wang, Shichao Xiong, Ying Luo

“…Heterogeneous Synthetic Aperture Radar (SAR) image object detection task with inconsistent joint probability distributions is occurring more and more frequently in practical applications. In which the small sample of data scarcity is becoming an urgent problem for researchers. …”
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DTLCDR: A target-based multimodal fusion deep learning framework for cancer drug response prediction by Jie Yu, Cheng Shi, Yiran Zhou, Ningfeng Liu, Xiaolin Zong, Zhenming Liu, Liangren Zhang

“…Subsequently, the ability of DTLCDR to predict novel molecules was validated through in vitro cell experiments, demonstrating its potential for real-world applications. Moreover, DTLCDR was transferred to the clinical datasets, demonstrating satisfactory performance in the clinical data, regardless of whether the drugs were included in the cell line dataset. …”
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Streamflow Monitoring at High Temporal Resolution Based on Non‐Contact Instruments and Manually Surveyed Bathymetry in a River Prone to Bathymetric Shifts by G. Nord, S. Safdar, M. Hasanyar, K. O. Eze, R. Biron, G. Freche, H. Denis, C. Legout, A. Hauet, M. Esteves

“…Such model could be useful for applying the method in the absence of LSPIV measurements in the future. The applicability of the method is finally tested over a 2.5‐year data set. …”
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3D-printed device for improved membrane-based extraction procedure of xenobiotics in complex matrices by Miryam Perrucci, Erika Maria Ricci, Abuzar Kabir, Kenneth G. Furton, Marcello Locatelli

“…A successful chemical analysis typically involves sample preparation, sampling, separation and analysis, quantification, and data interpretation. Among these, sample preparation plays a crucial role in isolating and preconcentrating target analytes from complex matrices.In 2014, fabric phase sorptive extraction (FPSE) was introduced as a simplified and greener sample pretreatment method. …”
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Integrated Additive Manufacturing Trajectory Control and Repair Management for Spiral Bevel Gear Using Fractional-Order PID and Adaptive Fuzzy Neural Inference System by Hiyam Adil Habeeb, Abdul Hadi Azman, Mohd Rizal Alkahari, Dzuraidah Abd Wahab, Nurhasyimah Abd Aziz

“…By integrating these techniques in ANFIS, neural networks can adapt to varying conditions and fuzzy logic can efficiently handle imprecise data and mimic human decisions. This integration produces a robust and adaptive system that can handle the uncertainties inherent in gear inspection and repair. …”
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Factorial-experimental investigation of LPBF regimes for VZh159 nickel superalloy grain structure and structural strength optimization by Rustam R. Kyarimov, Eugene S. Statnik, Eugene S. Statnik, Iuliia A. Sadykova, Alexander A. Frantsuzov, Alexey I. Salimon, Alexey I. Salimon, Alexander M. Korsunsky, Alexander M. Korsunsky, Alexander M. Korsunsky

“…This study investigates the optimization of Laser Powder Bed Fusion (LPBF) process parameters to enhance the mechanical properties of the Russian Ni superalloy VZh159 (a close analogue of IN718) material that is commonly used in critical aerospace applications, and the corresponding studies of the grain structure within and near the melt pool formed by a single laser scan line. …”
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Utilization of telemedicine in healthcare delivery to lesbian, gay, bisexual, transgender, queer, intersex, asexual, other sexual and gender minority (LGBTQIA+) populations: a scop... by Aman Goyal, Kamya Thakkar, Haleema Qayyum Abbasi, Urooj Shamim, Humza Saeed, Sonia Hurjkaliani, Tomas Escobar Gil, Dante N. Rangel, Amir Humza Sohail, Mohamed Daoud, Abu Baker Sheikh

“…A literature search of MEDLINE, Embase, Web of Science, and Scopus was conducted to identify studies published until March 2024 focusing on telemedicine services for LGBTQIA + individuals. Data extraction captured study characteristics, telemedicine applications, and patient and provider satisfaction, and was synthesized to map current knowledge and identify gaps. …”
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Real-time monitoring of soil moisture in cotton fields using electromagnetic induction technology by Yang Gao, Quanze Hu, Jiaojiao Hui, Lin Chang, Mei Zeng, Qingsong Jiang

“…Currently, electromagnetic induction technology provides a non-destructive alternative, using the inversion simulation of soil apparent electrical conductivity (ECa) to construct an empirical θg model, but the prediction accuracy of the constructed model is questioned when dealing with dynamic or highly uncertain data, resulting in large errors in the prediction results and cannot meet the needs of practical applications. …”
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Exploration of machine learning approaches for automated crop disease detection by Annu Singla, Ashima Nehra, Kamaldeep Joshi, Ajit Kumar, Narendra Tuteja, Rajeev K. Varshney, Sarvajeet Singh Gill, Ritu Gill

“…By systematically analyzing the extracted data, this review aspires to provide a valuable resource for researchers and practitioners aiming to develop and implement ML-based systems for crop disease detection, thereby contributing to sustainable agriculture and enhancing food security.…”
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High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment by Ali Nawaz Sanjrani, Hong Zhong Huang, Sadiq Ali Shah, Fayaz Hussain, Muhammad Punhal, Attaullah Narejo, Bo Zhang

“…This paper presents Health and Safety, a dynamic risk assessment framework for PdM that integrates real-time health monitoring by using the multiparametric sensory data of vibration, acoustic emission, and speed signals to assess the condition of wheelset bearings. …”
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Combined control of PM and NOx emissions from small-scale combustions by electrostatic precipitation by Oleksandr Molchanov, Kamil Krpec, Jiří Horák, Lenka Kubonová, František Hopan, Jiří Ryšavý

“…The model's predictions showed reasonable agreement with experimental data, with a slight miscalculation for both particle precipitation and NOx removal. …”
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Development of ultrasound-based clinical, radiomics and deep learning fusion models for the diagnosis of benign and malignant soft tissue tumors by Xinpeng Dai, Haiyong Lu, Xinying Wang, Bingxin Zhao, Zongjie Liu, Tao Sun, Feng Gao, Peng Xie, Hong Yu, Xin Sui

“…ObjectivesThe aim of this study is to develop an ultrasound-based fusion model of clinical, radiomics and deep learning (CRDL) for accurate diagnosis of benign and malignant soft tissue tumors (STTs)MethodsIn this retrospective study, ultrasound images and clinical data of patients with STTs from two hospitals were collected between January 2021 and December 2023. …”
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Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability by Zeeshan Ahmed, Kashif Munir, Muhammad Usama Tanveer, Syed Rizwan Hassan, Ateeq Ur Rehman, Habib Hamam

“…The proposed approach integrates an autoencoder for dimensionality reduction, a conditional generative adversarial network (cGAN) for synthetic data generation, and a TabNet classifier for final prediction. …”
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