Human Brain-Inspired Network Using Transformer and Feedback Processing for Cell Image Segmentation by Hinako Mitsuoka, Kazuhiro Hotta

“…Unlike hybrid models that require additional CNN components, this module improves segmentation accuracy while maintaining lower computational costs. …”
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Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

“…The proposed approach uses YOLOv8n as the base model and introduces adaptive convolution into the Backbone, allowing the model to dynamically prioritize different disease features. This modification increases the model’s parameter count without adding to the computational cost in terms of floating-point operations. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…Future studies should focus on expanding the application of SARE to diverse organisms, tissues, and cell types, as well as integrating complementary datasets such as chromatin accessibility and histone modification maps to further validate its findings. Additionally, benchmarking against machine learning-based approaches will establish its position as a robust tool in genomic research.…”
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Efficient Crystal Plasticity Modeling of Lath Martensite Considering Block Boundary Effects by Sally Issa, Håkan Hallberg, Mathias Wallin, Matti Ristinmaa

“…It is shown that this can be achieved by minor modifications to a conventional crystal plasticity model, providing an efficient modeling approach with a negligible additional computational cost. …”
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Surface plasmon enhanced linear and nonlinear optical properties of lycopene bioconjugated silver nanoparticles by E. L. T. Ngounou, N. M. Mwenze, M. N. Hounkonnou, M. Maaza

“…We found that the static (ω = 0) enhancement results from Ag-lycopene interaction induced dipole modification, whereas the dynamic response (ω = 532 nm > ω = 1064 nm) exhibits wavelength-dependent plasmonic modification, being stronger at resonance (532 nm) due to localised field enhancement and weaker off-resonance (1064 nm) via higher-order effects. …”
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Adaptation of the modular number system in threshold secret sharing schemes by A. F. Chernyavskiy, A. I. Kazlova, V. S. Sadov, A. A. Kolyada

“…A modification of Adi Shamir's secret sharing scheme in a threshold cryptosystem based on modular arithmetic (MA cryptosystem) with the generation of shares of secret sharing participants in two stages is considered. …”
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A New SDIMSIM Methods with Optimized Region of Stability and Sustainable Development with Applications On Neutrosophic Data by A.Y. J. Almasoodi, Mohammed Kadhim Mohsin, Sarah A.AL-Ameedee, Mohammed Amer Shanyoor

“…In the scenario when second derivatives, in addition to first derivatives, can be computed, a GLM modification known as SGLMs (GLM with second derivative) was created. …”
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Quantitative structure property relationship and multiattribute decision analysis of antianginal drugs using topological indices by Muhammad Waheed Rasheed, Abid Mahboob, Ali Ovais, Nimra Shabbir, Abdu Alameri

“…Effective management focuses on reducing symptoms and preventing disease progression through lifestyle modifications, medications, and interventional procedures. …”
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Utilizing weak graph for edge consolidation-based efficient enhancement of network robustness by Wei Ding, Zhengdan Wang

“…Solving speed is increased by up to 5 orders of magnitude, while only incurring an additional cost of approximately 3%. In large-scale graphs with one million nodes, under the same computational time, it can cut down on the consolidation cost by nearly 60% compared to existing algorithms, and the consolidation precision remains consistently high across different graph instances.…”
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Application of physics-informed neural networks for two-phase flow model with variable diffusion and experimental validation by Daulet Kalesh, Timur Merembayev, Sagyn Omirbekov, Yerlan Amanbek

“…In addition, we investigate the application of the PINNs for laboratory experimental data by assessing the performance of PINNs in capturing the saturation front dynamics. …”
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A structural genomics approach to investigate Dystrophin mutations and their impact on the molecular pathways of Duchenne muscular dystrophy by Abdelbaset Mohamed Elasbali, Farah Anjum, Osama A. AlKhamees, Waleed Abu Al-Soud, Mohd Adnan, Anas Shamsi, Md. Imtaiyaz Hassan

“…Pathogenic potential was assessed using disease phenotype predictors and CADD scores, while allele frequency data from gnomAD contextualized mutation prevalence. Additionally, aggregation propensity, frustration analysis, and post-translational modification sites were analyzed for functional disruptions.ResultsOf the 184 substitutions analyzed, 50 were identified as deleterious, with 41 predicted to be pathogenic. …”
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Association between prenatal exposure to bisphenols and preterm birth: the interaction effect of anemia by Ya-ling Li, Hong-yu Mao, Lu-ming Yan, Zi-yi Liu, Shu Sun, Ting-ting Jiang, Le-yan Xu, Xin-yi Zhang, Bo-lin Liu, Min Zhu, Ji-an Xie, Jia-hu Hao, Chao Zhang

“…Interaction analyses on both additive and multiplicative scales were performed for selected BPs linked to PTB and time windows of maternal anemia sensitivity. …”
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RLSuccSite: succinylation sites prediction based on reinforcement learning dynamic with balanced reward mechanism and three-peaks enhanced method for physicochemical property score... by Lun Zhu, Qingchao Zhang, Sen Yang

“…Abstract Recent progress in computational biology has driven the development of machine learning models for predicting protein post-translational modification sites. …”
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YOLO-MECD: Citrus Detection Algorithm Based on YOLOv11 by Yue Liao, Lerong Li, Huiqiang Xiao, Feijian Xu, Bochen Shan, Hua Yin

“…Notably, our research reveals that reducing convolution operations in the backbone architecture substantially enhances small object detection capabilities and significantly decreases model parameters, proving more effective than the addition of small object detection heads. The experimental results and comparative analysis with similar network models indicate that the YOLO-MECD model has achieved significant improvements in both detection performance and computational efficiency. …”
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Atomistic simulation of olefin polymerization reaction by organometallic catalyst: significant role of microscopic structural dynamics of (pyridylamido) Hf(IV) complex in catalytic... by Kentaro Matsumoto, Nana Misawa, Shuhei Kanesato, Masataka Nagaoka, Masataka Nagaoka, Masataka Nagaoka, Masataka Nagaoka

“…Utilizing the molecular dynamics method and our Red Moon method, a novel methodology we have developed for atomistic simulation of complex chemical reaction systems, we elucidate how the dynamic features, including anion coordination and steric interaction, govern the reactivity in key steps such as ligand modification and propagation reactions. In addition, we demonstrate how machine learning techniques can be applied to extract chemically meaningful descriptors from the structural ensemble obtained from atomistic simulation data of complex chemical reaction systems, thereby identifying the substituents that play an important role in propagation reactions. …”
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Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…Extensive simulations demonstrate that our method significantly outperforms state-of-the-art approaches, achieving a 15.27% higher request insertion revenue rate and a 3.05% improvement in overall mission revenue rate, while maintaining a 1.17% lower modification rate and achieving faster computational speeds. …”
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Low power IoT device communication through hybrid AES-RSA encryption in MRA mode by Qiang Chang, Tianqi Ma, Wenzhong Yang

“…The enhanced RSA algorithm replaces the traditional dual-prime system with a triple-prime system, increasing the number of primes while reducing the bit length of each prime. This modification optimizes computational efficiency and strengthens security.Furthermore, we investigate the feasibility of integrating the RSA and AES algorithms and propose a novel RSA-AES hybrid algorithm MRA. …”
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VM-UNet++ research on crack image segmentation based on improved VM-UNet by Wenliang Tang, Ziyi Wu, Wei Wang, Youqin Pan, Weihua Gan

“…On the other hand, while Transformers are powerful in handling long-range dependencies, their high computational cost remains a significant challenge. To effectively address these issues, this paper proposes an innovative modification to the VM-UNet model. …”
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Exploring Consistent Feature Selection for Software Fault Prediction: An XAI-Based Model-Agnostic Approach by Adam Khan, Asad Ali, Jahangir Khan, Fasee Ullah, Muhammad Faheem

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Comparative analysis of NTRUEncrypt modified post-quantum cryptographic system and standard RSA cryptosystem by P. V. Razumov, I. A. Smirnov, I. A. Pilipenko, A. V. Selyova, L. V. Cherkesova

“…The NTRUEncrypt cryptographic system, the calculation of the algorithmic complexity of the development of the NTRUEncrypt cryptosystem and its modifications are considered. The study objectives are to develop NTRUEncrypt, an efficient post-quantum cryptographic algorithm, which has high cryptographic resistance to quantum computer attacks, to work out a modification of the proposed algorithm, to analyze and experimentally validate its advantages.Materials and Methods. …”
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