Balancing central control and sensory feedback produces adaptable and robust locomotor patterns in a spiking, neuromechanical model of the salamander spinal cord. by Alessandro Pazzaglia, Andrej Bicanski, Andrea Ferrario, Jonathan Arreguit, Dimitri Ryczko, Auke Ijspeert

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Traceability, reproducibility and wiki-exploration for "à-la-carte" reconstructions of genome-scale metabolic models. by Méziane Aite, Marie Chevallier, Clémence Frioux, Camille Trottier, Jeanne Got, María Paz Cortés, Sebastián N Mendoza, Grégory Carrier, Olivier Dameron, Nicolas Guillaudeux, Mauricio Latorre, Nicolás Loira, Gabriel V Markov, Alejandro Maass, Anne Siegel

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A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2. by Edward M Hill, Benjamin D Atkins, Matt J Keeling, Louise Dyson, Michael J Tildesley

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Numerical analysis of the influence of sidewalls on full-span finite-width cavity flows by Foo Ngai Kok

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Fantastic genes and where to find them expressed in CHO by Markus Riedl, Caterina Ruggeri, Nicolas Marx, Nicole Borth

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Exploration of Generative Neural Networks for Police Facial Sketches by Nerea Sádaba-Campo, Hilario Gómez-Moreno

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Viability Study of SYCL as a Unified Programming Model for Heterogeneous Systems Based on GPUs in Bioinformatics by Manuel Costanzo

“…This standard facilitates the development of portable applications that can efficiently leverage the capabilities of different hardware devices, such as NVIDIA, Intel, and AMD GPUs, without needing significant modifications to the source code. Therefore, this thesis set out as its general objective to evaluate the feasibility of SYCL as a unified, portable, and efficient heterogeneous programming model for the design and development of computationally demanding applications on heterogeneous GPU-based systems, specifically in the field of bioinformatics. …”
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HMCFormer (hierarchical multi-scale convolutional transformer): a hybrid CNN+Transformer network for intelligent VIA screening by Bo Feng, Chao Xu, Zhengping Li, Chuanyi Zhang

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New investigation Development of the Dai Yuan method for solving Unconstrained Optimization Problems. by Hussein AL-Moussawi, Khalil Abbo

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Studying the Coefficient Curvelet for Aerial Image Segmentation by Nagham Sultan, Khalil Alsaif

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Hybrid adaptive method for lane detection of degraded road surface condition by Khaled H. Almotairi

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A sparse and invisible targeted backdoor attack in federated learning by Qikun Zhang, Mengyang Yu, Ruifang Wang, Yongjiao Li, Junling Yuan, Yu-an Tan

“…Abstract In distributed edge Computing scenarios within the Internet of Things (IoT), individual clients are susceptible to adversarial backdoor attacks, wherein malicious modifications to local data may be introduced. …”
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Preserving privacy and video quality through remote physiological signal removal by Saksham Bhutani, Mohamed Elgendi, Carlo Menon

“…Eleven lightweight modification methods, including blurring operations, additive noises, and time-averaging techniques, were evaluated using five different rPPG techniques across four activities: rest, talking, head rotation, and gym. …”
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YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles by Xinzhe Luo, Xiaogang Zhu

“…This modification decreases computational complexity while maintaining the model’s ability to capture and integrate essential feature information across multiple scales. …”
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Dynamic Harmony Search with Polynomial Mutation Algorithm for Valve-Point Economic Load Dispatch by M. Karthikeyan, T. Sree Ranga Raja

“…The DHSPM algorithm is tested with three power system cases consisting of 3, 13, and 40 thermal units. The computational results show that the DHSPM algorithm is more effective in finding better solutions than other computational intelligence based methods.…”
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An update on combinatorial method for aggregation of expert judgments in AHP by Sergii Kadenko, Vitaliy Tsyganok, Zsombor Szádoczki, Sándor Bozóki

“…It is also less sensitive to perturbations of initial data. Additionally, selection of spanning trees with smaller diameters allows us to reduce computational complexity of the method and minimize the impact of expert errors. …”
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SITA: Predicting site-specific immunogenicity for therapeutic antibodies by Yewei Cun, Hao Ding, Tiantian Mao, Yuan Wang, Caicui Wang, Jiajun Li, Zihao Li, Mengdie Hu, Zhiwei Cao, Tianyi Qiu

“…More importantly, analysis of an additional 25 therapeutic antibodies revealed that over 70% of them were detected with decreased immunogenicity after modification compared to their parent variants. …”
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Modified Semi-Lagrangian Godunov-Type Method Without Numerical Viscosity for Shocks by Valeriy Nikonov

“…This paper describes a modification of the semi-Lagrangian Godunov-type method, which was proposed by the author in the previously published paper. …”
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Network Completion Using Dynamic Programming and Least-Squares Fitting by Natsu Nakajima, Takeyuki Tamura, Yoshihiro Yamanishi, Katsuhisa Horimoto, Tatsuya Akutsu

“…We employ here a certain type of differential equations as gene regulation rules in a genetic network, gene expression time series data as observed data, and deletions and additions of edges as basic modification operations. …”
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LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

“…Then, we replaced the standard depthwise convolution in the feature extraction network with SPD-Conv, which includes an additional pooling layer to mitigate detail loss. This modification effectively enhances the detection performance for small objects. …”
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