Stress-induced impairment of a working memory task: role of spiking rate and spiking history predicted discharge. by David M Devilbiss, Rick L Jenison, Craig W Berridge

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Leveraging deep learning technology for enhancing printing press quality by Omotunde Alabi Muyiwa, B.H. Adejumo

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Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma. by Yusuke Suita, Hardy Bright, Yuan Pu, Merih Deniz Toruner, Jordan Idehen, Nikos Tapinos, Ritambhara Singh

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Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer. by Héctor Climente-González, Christine Lonjou, Fabienne Lesueur, GENESIS study group, Dominique Stoppa-Lyonnet, Nadine Andrieu, Chloé-Agathe Azencott

“…Many such network methods exist, each arising from different mathematical frameworks, pre-processing steps, and assumptions about the network properties of the susceptibility mechanism. …”
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Revolutionizing industrial automation with wireless sensor networkis by Rita de Fátima Muniz, Antônio Clécio Thomaz

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Towards a QoE-Driven Resource Control in LTE and LTE-A Networks by Gerardo Gómez, Javier Lorca, Raquel García, Quiliano Pérez

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Effect of Improved Association Algorithm on Mining and Recognition of Audit Data by Putianyi Qiu

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Sustainable Development Garden Landscape Design Based on Data Mining and Virtual Reality by Yuchen Bai

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Unraveling the obstacles to transform agro-wastes into value-added bioproducts: Implications for sustainability by Khandakar Shamit Raja, Ayesha Maliha, Sourav Paul, Md Shihab Shakur, A.B.M. Mainul Bari

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Rational inattention and tonic dopamine. by John G Mikhael, Lucy Lai, Samuel J Gershman

“…Slow-timescale (tonic) changes in dopamine (DA) contribute to a wide variety of processes in reinforcement learning, interval timing, and other domains. …”
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Garbage prediction using regression analysis for municipal corporations of Indian cities by Raj Kumar Sharma, Manisha Jailia

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A framework for cyber threat modeling and risk assessment in smart city environments by Mariya Ouaissa, Mariyam Ouaissa, Zineb Nadifi, Sarah El Himer, Yassine Al Masmoudi, Ali Kartit

“…However, as smart cities increasingly rely on the Internet of Things (IoT), cloud computing, and real-time data processing, they also face an expanded attack surface and growing cybersecurity threats.MethodsThis paper presents a comprehensive threat modeling and risk assessment approach tailored to smart city environments. …”
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Feasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools by Matteo Rossi, Gabriele Belotti, Luca Mainardi, Guido Baroni, Pietro Cerveri

“…Radiotherapy commonly utilizes cone beam computed tomography (CBCT) for patient positioning and treatment monitoring. …”
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Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning by Rajib Maity, Aman Srivastava, Subharthi Sarkar, Mohd Imran Khan

“…The review also addresses persistent challenges, including data limitations, computational demands, and model interpretability, proposing solutions that integrate emerging technologies like quantum computing, the Internet of Things (IoT), and interdisciplinary collaboration. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

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Interleaved single and bursting spiking resonance in neurons. by Cesar C Ceballos, Nourdin Chadly, Eric Lowet, Rodrigo F O Pena

“…Recent work using voltage imaging with genetically encoded voltage indicators has been able to correlate spiking patterns with subthreshold activity in a variety of CA1 neurons, and recent computational models have been able to capture these transitions. …”
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Pothole detection and segmentation in the Bushveld Complex using physics-based data augmentation and deep learning by Glen T. Nwaila, Musa S.D. Manzi, Emmanuel John M. Carranza, Raymond J. Durrheim, Hartwig E. Frimmel

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Constraint-based modeling of bioenergetic differences between synaptic and non-synaptic components of dopaminergic neurons in Parkinson’s disease by Xi Luo, Diana C. El Assal, Yanjun Liu, Samira Ranjbar, Ronan M.T. Fleming, Ronan M.T. Fleming

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LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring by P. Shailaja, Pala Mahesh Kumar, Nalla Nikhitha, Kunta Neeraj Kumar Reddy, Enthala Mukesh Reddy, Goli Ganesh Reddy, Vadde Indu

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Wandering around: a bioinspired approach to visual attention through object motion sensitivity by Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov

“…Active vision enables dynamic and robust visual perception, offering an alternative to the static, passive nature of feedforward architectures commonly used in computer vision, which depend on large datasets and high computational resources. …”
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