Variable neighbourhood search for connected graphs of fixed order and size with minimal spectral radius by Kristina Kostić, Zorica Dražić, Aleksandar Savić, Zoran Stanić

“…The search efficiently results in solutions that are (in a precise sense) close to the optimal ones, i.e. to minimizers.…”
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Synthetic Pre-miRNA-Based shRNA as Potent RNAi Triggers by Kazuya Terasawa, Kazuharu Shimizu, Gozoh Tsujimoto

“…We demonstrated that chemically synthetic pre-miRNA-based shRNAs have more potent RNAi activity than their corresponding siRNAs and found that their antisense strands are more efficiently incorporated into the RNA-induced silencing complex. …”
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Harmonizing remote sensing and ground data for forest aboveground biomass estimation by Ying Su, Zhifeng Wu, Xiaoman Zheng, Yue Qiu, Zhuo Ma, Yin Ren, Yanfeng Bai

“…Accurate aboveground biomass (AGB) estimation is crucial for evaluating management and conservation policy of forests. However, the complexity of forest ecosystems and the diversity of geography bring great challenges to traditional biomass estimation methods. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…Although some models showed error rates of 7.8% and 7.4% in hip circumference measurements, this was attributed to the complexity of 3D structures and the challenges in selecting keypoint locations. …”
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Five-Level MLI-Based Grid-Connected Photovoltaic Systems: A Review on Control Methodologies, Modulation Strategies and Recent Developments by Anurag Tiwari, Vinayak Kumar, Ruchi Agarwal, Mohammad Amir, Mohammed A. Alharbi, S. M. Muyeen

“…Examples of these techniques include pulse width modulation (PWM) and selective harmonic elimination (SHE). Further analysis of the structural features of five-level MLI-based systems is done, which helps to clarify the trade-offs between complexity, dependability, and cost. …”
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High-Switching-Frequency SiC Power Conversion Systems with Improved Finite Control Set Method Prediction Control by Yibiao Fan, Lixia Tong, Yingjie Lu, Xiaowei Cai, Zhihe Fu, Xingkui Mao

“…With the development of power conversion systems or bidirectional grid-connected inverters characterized by high DC voltage, high efficiency, and high-power density, high-switching-frequency SiC power switches are being widely used, and these require a short computational time of control algorithm. …”
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Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

“…Space trajectory planning is a complex combinatorial problem that requires selecting discrete sequences of celestial bodies while simultaneously optimizing continuous transfer parameters. …”
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Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea by Ziqiang Hua, Limin Lin, Wanting Yang, Linlin Ma, Meiling Huang, Bingmiao Gao

“…However, these peptides’ structural complexity and diversity have posed challenges for functional prediction. …”
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Sortilin‐Mediated Rapid, Precise and Sustained Degradation of Membrane Proteins via mRNA‐Encoded Lysosome‐Targeting Chimera by Xin Chang, Xinyu Qiu, Xiaoning Tong, Shaoju Gan, Weicheng Yi, Sitao Xie, Xiangsheng Liu, Chao Zuo, Weihong Tan

“…This MedTAC strategy establishes sortilin as a selective and efficient shuttle for targeted protein degradation, offering a scalable, rapidly producible platform for biochemical research and precise therapeutic applications.…”
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A Methodology for the Feasibility Assessment of Using Crop Residues for Electricity Production Through GIS-MCD and Its Application in a Case Study by Fernando Bruno Dovichi Filho, Laura Vieira Maia de Sousa, Electo Eduardo Silva Lora, José Carlos Escobar Palacio, Pedro Tavares Borges, Regina Mambeli Barros, René Lesme Jaen, Marcelo Risso Errera, Quelbis Roman Quintero

“…The last Intergovernmental Panel on Climate Change reports recommend a shift to renewables and a more energy-efficient economy. To fulfill the potential of bioenergy, tools are required to overcome the complexities of the decision-making processes for viable projects. …”
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Cavitation Dynamics and Vorticity Analysis of a Clark-Y Hydrofoil and a Venturi Geometry Based on the DCM by Jing Li, Chunbao Liu

“…We compare hydrodynamic coefficients, cavity characteristics, and time-averaged velocity with available experimental results. …”
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Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing by Yuhang Zeng, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, Jiwei Hu

“…In the first stage, an improved multi-objective FBI algorithm is used to obtain the Pareto front solutions of this model, in which a hybrid real and integer encoding–decoding method is used for exploring the solution space and a fast non-dominated sorting method for improving efficiency. In the second stage, a multi-criteria decision analysis method based on an analytic hierarchy process (AHP) is used to select the optimal solution from the Pareto front solutions. …”
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Detection of Mycotoxins in Cereal Grains and Nuts Using Machine Learning Integrated Hyperspectral Imaging: A Review by Md. Ahasan Kabir, Ivan Lee, Chandra B. Singh, Gayatri Mishra, Brajesh Kumar Panda, Sang-Heon Lee

“…Mycotoxins exhibit heightened sensitivity to specific spectral bands within HSI, facilitating accurate detection. Additionally, selecting only relevant spectral features reduces ML model complexity and enhances reliability in the detection process. …”
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A Novel Adaptive Independent Component Analysis Method for Multi-Channel Optically Pumped Magnetometers’ Magnetocardiography Signals by Shuang Liang, Jiahe Qi, Junhuai He, Yikang Jia, Aimin Wang, Ting Zhao, Chaoliang Wei, Hongchen Jiao, Lishuang Feng, Heping Cheng

“…The proposed method outperformed traditional techniques in terms of its ability to identify artifacts and efficiency in this regard, providing strong support for the broader clinical application of OPM-MCG.…”
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A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…This algorithm not only streamlines the signature process across chains but also strengthens system security and optimizes storage efficiency, addressing a key challenge in multi-chain systems. …”
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BER performance analysis of polar-coded FBMC/OQAM in the presence of AWGN and Nakagami-m fading channel by Tadele A. Abose, Fanuel O. Ayana, Thomas O. Olwal, Yihenew W. Marye

“…It offers several advantages over traditional orthogonal frequency-division multiplexing (OFDM) modulation, including higher spectral efficiency, lower out-of-band emission, and improved robustness to time-frequency selective channels. …”
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An Interpretable Hybrid Deep Learning Model for Molten Iron Temperature Prediction at the Iron-Steel Interface Based on Bi-LSTM and Transformer by Zhenzhong Shen, Weigang Han, Yanzhuo Hu, Ye Zhu, Jingjing Han

“…This paper proposes an interpretable hybrid deep learning model combining Bi-LSTM and Transformer to solve the complexity of temperature drop prediction. By leveraging Catboost-RFECV, the most influential variables are selected, and the model captures both local features with Bi-LSTM and global dependencies with Transformer. …”
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Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study by Yanfei Chen, Bing Wang, Yankai Shi, Wenhao Qi, Shihua Cao, Bingsheng Wang, Ruihan Xie, Jiani Yao, Xiajing Lou, Chaoqun Dong, Xiaohong Zhu, Danni He

“…Although existing AD risk prediction tools demonstrate high accuracy, their complexity and limited accessibility restrict practical application. …”
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Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…CNNs have proven to be a crucial component in improving the accuracy and efficiency of aneurysm detection by automatically learning features from raw imaging data, bypassing the need for manual feature extraction. …”
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Measurement and assessment of human resources in information economy: substantive and methodological aspect by Krasova Elena

“…The following weaknesses of the existing methodical base were identified: lack of a unified understanding of the category of “human resources” and some related categories, complexity of selecting indicators and indirectness of assessments, mixing different types of indicators in one measurement procedure, shift towards assessing the socio-demographic component, underestimation of feedback in the interaction of human resources with the economic, social, institutional environment, underdeveloped synthesis of traditional and digital methods. …”
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