A twin CNN-based framework for optimized rice leaf disease classification with feature fusion by Prameetha Pai, S. Amutha, Mustafa Basthikodi, B. M. Ahamed Shafeeq, K. M. Chaitra, Ananth Prabhu Gurpur

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A new neurodynamic model with Adam optimization method for solving generalized eigenvalue problem by Ebrahim Ganjalipour, Khadijeh Nemati, Amir Hosein Refahi Sheikhani, Hashem Saberi Najafi

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To reveal biomarkers related to macrophage and lactic acid metabolism in renal fibrosis and explore their mechanisms by Chen Yong, Chen Yong, Yongfei Yu, Yongfei Yu, Yuan Wei, Yuan Wei, Guoshun Huang, Guoshun Huang, Lianghui Shu, Lianghui Shu, Kun Gao, Kun Gao, Kun Gao, Enchao Zhou, Enchao Zhou, Enchao Zhou, Enchao Zhou

“…Subsequently, candidate genes were incorporated into machine learning algorithms to identify key feature genes associated with RF. …”
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Deepfake Face Detection and Adversarial Attack Defense Method Based on Multi-Feature Decision Fusion by Shanzhong Lei, Junfang Song, Feiyang Feng, Zhuyang Yan, Aixin Wang

“…Ultimately, the model’s robustness was validated by generating adversarial samples using the I-FGSM algorithm and optimizing model performance through adversarial training. …”
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Towards Secure IoT Authentication System Based on Fog Computing and Blockchain Technologies to Resist 51% and Hijacking Cyber-Attacks by Muwafaq Jawad, Ali A. Yassin, Hamid Ali Abed Al-asadi, Zaid Ameen Abduljabbar, Vincent Omollo Nyangares, Zaid Alaa Hussien, Husam A. Neamah

“…Our scheme integrates chaotic-based public key cryptosystems, a Light Encryption Device (LED) with a 3-D Lorenz chaotic map algorithm, and blockchain-based fog computing technologies to enhance both efficiency and scalability. …”
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Anthropometric changes and risk of diabetes: are there sex differences? A longitudinal study of Alberta’s Tomorrow Project by Ming Ye, Paula J Robson, Dean T Eurich, Jennifer E Vena, Jian-Yi Xu, Jeffrey A Johnson

“…Diabetes cases were identified using the Canadian National Diabetes Surveillance System algorithm with administrative healthcare data (2000–2015) linked to the ATP cohort. …”
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Hybrid geometry optimization to mitigate maximum temperature gradient in solid oxide fuel cells without lowering the net output performance by Hongkun Li, Tongyu Dai, Tiantian Hu, Weiqun Liu, Qiao Zhu, Dawei Dong

“…., output power density) is also substantially suppressed due to the temperature reduction. Thus, maintaining the output power in SOFCs when optimizing the temperature distribution has been deemed as a challenging task. …”
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Drought Amplifies the Suppressive Effect of Afforestation on Net Primary Productivity in Semi-Arid Ecosystems: A Case Study of the Yellow River Basin by Futao Wang, Ziqi Zhang, Mingxuan Du, Jianzhong Lu, Xiaoling Chen

“…Among drought events identified using a three-dimensional clustering algorithm, high-intensity droughts caused an average NPP loss of 23.2 gC·m⁻² across the basin. …”
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Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…These advancements result in significant reduction in off-chip data transfer, memory savings, and faster processing times. …”
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Modifiable factors and 10-year and lifetime cardiovascular disease risk in adults with new-onset hypertension: insights from the Kailuan cohort by Shouling Wu, Yanxiu Wang, Jiangshui Wang, Jun Feng, Furong Li, Liming Lin, Chunyu Ruan, Zhifang Nie, Jinwei Tian, Cheng Jin

“…Eight modifiable factors were assessed using the American Heart Association’s Life’s Essential 8 algorithm. We followed participants for incident CVD until December 2020, estimating 10-year and lifetime (age 25–95) CVD risks using the Fine-Gray competing risks model. …”
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Neonatal and perinatal mortality in the urban continuum: a geospatial analysis of the household survey, satellite imagery and travel time data in Tanzania by Lenka Benova, Claudia Hanson, Aliki Christou, Aline Semaan, Peter M Macharia, Jessie Pinchoff, Andrea B Pembe

“…Travel time to the nearest hospital was modelled using least-cost path algorithm for each cluster. Bivariate and multilevel multivariable logistic regression models were constructed to explore associations between urbanicity and neonatal/perinatal deaths.Results Both neonatal and perinatal mortality rates were highest in core urban and lowest in rural clusters. …”
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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…Using the Deep Q-Network (DQN) algorithm, the system identifies optimal defensive strategies through multidimensional data interactions. …”
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Battery Energy Storage System Contribution to Primary Frequency Control in Isolated Power Systems by Muhammad Asad, Giulia Tresca, Pericle Zanchetta, Jose Angel Sanchez-Fernandez

“…Results show the significant reduction in frequency deviation, optimal sizing of BESS and optimal tuning of the whole WDPS.…”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…A Hybrid Policy Derivation Algorithm is introduced to balance encryption complexity and computational overhead by dynamically switching between these learning models. …”
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Development and Optimization of a Novel Semi-Submersible Floater for Floating Wind Turbines in the South China Sea by Yiming Zhong, Wenze Liu, Wei Shi, Xin Li, Shuaishuai Wang, Constantine Michailides

“…The result reveals a 16.44% reduction in pitch natural frequency compared to the V-shaped floater. …”
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Assimilating multi-site eddy-covariance data to calibrate the wetland CH₄ emission module in a terrestrial ecosystem model by J. T. Kallingal, M. Scholze, P. A. Miller, J. Lindström, J. Rinne, M. Aurela, P. Vestin, P. Weslien

“…<p>In this study, we use a data assimilation framework based on the adaptive Markov chain Monte Carlo (MCMC) algorithm to constrain process parameters in LPJ-GUESS model using <span class="inline-formula">CH₄</span> eddy-covariance flux observations from 14 different natural boreal, temperate, and arctic wetlands. …”
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Obstetrical and perinatal pathology in women with risk of preterm labor by A. A. Shevchenko

“…The effectiveness of the premature birth risk treatment of the main group patients shows not only the improvement of this complication clinical symptoms and satisfactory functional state of feto-placental complex, but also reduction the percentage of early preterm birth, and as a consequence, decrease in severe perinatal morbidity. …”
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Research on the optimization of optimal blasting parameters and fragmentation control based on coal seam geological conditions by Zhouquan Liao, Xiaohua Ding, Mingzhi Liang, Jiangfeng Li, Zhongao Yang, Xin Liu, Bin Li, Yan Zhang

“…Using the LS-DYNA software’s fluid–solid coupling algorithm, the effects of charge structure, explosive type, intermediate medium, and hole spacing parameters on blasting results are analyzed. …”
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Spironolactone Reduces the Risk of Death in Veterans With Heart Failure With Preserved Ejection Fraction by Katherine E. Kurgansky, Rachel Parker, Luc Djousse, David R. Gagnon, Jacob Joseph

“…After multivariable adjustment, there was a 21% reduction (95% CI, 13–29; P<0.0001) in rate of all‐cause death among spironolactone users compared with nonusers and no statistically significant difference in days hospitalized for all causes or heart failure. …”
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LIVER EXPLANATION TECHNOLOGY OPTIMIZATION by Александр Сергеевич Разумов, Григорий Валерьевич Вавин, Алексей Владимирович Будаев, Игорь Александрович Радионов, Ольга Дмитриевна Сидорова, Е. Е. Ставицкий, Дарья Александровна Раева, Ф. А. Будаев, Вадим Гельевич Мозес

“…Experimental testing of the developed liver explantation algorithm showed a decrease in the laboriousness and invasiveness of the operation, which was expressed in a reduction in the time of its implementation and in a decrease in morphological changes in the transplants during subsequent prolonged static hypothermic preservation.…”
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