VRPR: A New Data Center Protocol for Enhanced Network Performance, Resilience, and Recovery by Muhammad Muzaffar Iqbal, Mohammad Daud Awan, Malik Sikander Hayat Khiyal, Rana Abu Bakar

“…Servers can choose the optimal link type based on load and potential interference. …”
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Sensitive ratiometric detection of Fumonisin B1 using a reusable Ag-pSi SERS platform by Narsingh R. Nirala, Sudharsan Sadhasivam, Rohit Kumar Singh, Edward Sionov, Giorgi Shtenberg

“…Under optimal conditions, the aptasensor exhibits high sensitivity, wide dynamic range, signal stability, selectivity and regeneration for consecutive FB1 detection (0.05 ppb, 0.1–1000 ppb, RSD of 5.2 %, no interference with competing mycotoxins and eight regeneration cycles, respectively). …”
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Targeting the Kinesin Eg5 to Monitor siRNA Transfection in Mammalian Cells by D. Weil, L. Garçon, M. Harper, D. Duménil, F. Dautry, M. Kress

“…RNA interference, the inhibition of gene expression by double-stranded RNA, provides a powerful tool for functional studies once the sequence of a gene is known. …”
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A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…Nevertheless, achieving an optimal balance among spectral resolution, detection range, and device compactness remains challenging, particularly when complex nonlinear mappings, inter-pattern correlations, and noise interference are involved. …”
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Fault Prediction for Rotating Mechanism of Satellite Based on SSA and Improved Informer by Qing Lan, Ye Zhu, Baojun Lin, Yizheng Zuo, Yi Lai

“…First, during telemetry data processing, singular spectrum analysis (SSA) is proposed to retain the long-term and oscillatory trends in the original data while filtering out noise from interference. Next, the improved informer model predicts the turntable temperature based on the mapping relationship between the turntable subsystem’s motor current and temperature, with multiple experiments conducted to obtain optimal parameters. …”
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Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene by Jingwen Wang, Zheng Zhu, Tianran Jiang, Ke Chen

“…Disorderly aperiodic twisted graphene layers lead to the localization of phonons, substantially reducing the cross-plane thermal transport via the interference of coherent phonons. We employed non-equilibrium molecular dynamics simulations combined with machine learning approach, to study heat transport in the two-angle disordered multilayer stacks, and identified within the constrained structural space the optimal stacking sequence that can minimize the cross-plane thermal conductivity. …”
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Experimental Investigation and Simulation of Electro-Mechanical Behaviour of Hybrid Sandwich Composite Radomes for Aerospace Applications by Zhaib Muneer Ahmed, Muhammad Ali Nasir, Zafar Iqbal, Muhammad Talha Aamir

“…The objective is to achieve optimal electromagnetic (EM) and mechanical performance using a combination of PMI foam core and hybrid face sheets (Kevlar & S Glass) sandwich composite structures. …”
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Reporters for Single-Cell Analysis of Colicin Ib Expression in Salmonella enterica Serovar Typhimurium. by Stefanie Spriewald, Jana Glaser, Markus Beutler, Martin B Koeppel, Bärbel Stecher

“…Colicins are toxins that mediate interference competition in microbial ecosystems. They serve as a "common good" for the entire producer population but are synthesized by only few members which pay the costs of colicin production. …”
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Seasonally Adaptive VMD-SSA-LSTM: A Hybrid Deep Learning Framework for High-Accuracy District Heating Load Forecasting by Yu Zhang, Keyong Hu, Lei Lu, Qingqing Yang, Min Fang

“…Specifically, VMD is first employed to decompose the historical heating load data from Arizona State University’s Tempe campus into multiple stationary modal components, aiming to reduce data complexity and suppress noise interference. Subsequently, the SSA is utilized to optimize the hyperparameters of the LSTM network, with targeted adjustments made according to the seasonal characteristics of the heating load, enabling the identification of optimal configurations for each season. …”
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ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

“…During the enhanced magnetic memory detection of micro-defects, many interference signals appear in the detection signal, which makes it difficult to accurately extract the characteristics of the micro-defect signals, significantly affecting detection effectiveness. …”
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Design, Computational Aerodynamic, Aerostructural, and Control Stability Investigations of VTOL-Configured Hybrid Blended Wing Body-Based Unmanned Aerial Vehicle for Intruder Inspe... by Vijayanandh Raja, Ramesh Murugesan, Senthil Kumar Solaiappan, Beena Stanislaus Arputharaj, Parvathy Rajendran, Hussein A. Z. AL-bonsrulah, Deepak Thakur, Abdul Razak, Abdulrajak Buradi, Abiot Ketema

“…This is because its weight is spread uniformly throughout the body, its radar signal is weaker than that of alternative configurations, and there is a relatively small amount of interference with its movement. With common design factors in mind, like vertical takeoff and landing, aerodynamic drag, and fundamental wing stability, the optimal BWB plan form for surveillance is designed. …”
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A Novel Wide-Gain-Range Variable-Structure DC/DC Converter Based on an LLC Resonant Converter by Qingqing He, Shun Tang, Dan Ren, Zhaoyang Tang, Qisheng Zhu, Chao Tang, Keliang Zhou

“…This wide frequency variation complicates the design of magnetic components, causes loss of soft-switching characteristics, and deteriorates electromagnetic interference (EMI) performance. To address these challenges, this paper presents a detailed analysis of the L-LCLC resonant converter. …”
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Circadian preference modulates the neural substrate of conflict processing across the day. by Christina Schmidt, Philippe Peigneux, Yves Leclercq, Virginie Sterpenich, Gilles Vandewalle, Christophe Phillips, Pierre Berthomier, Christian Berthomier, Gilberte Tinguely, Steffen Gais, Manuel Schabus, Martin Desseilles, Thanh Dang-Vu, Eric Salmon, Christian Degueldre, Evelyne Balteau, André Luxen, Christian Cajochen, Pierre Maquet, Fabienne Collette

“…Human morning and evening chronotypes differ in their preferred timing for sleep and wakefulness, as well as in optimal daytime periods to cope with cognitive challenges. …”
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Maximising Achievable Rate Using Intelligent Reflecting Surface in 6G Wireless Communication Systems by Afrin Jahan Eva, Md. Sahal, Rabita Amin, Muhammad R. A. Khandaker, Risala Tasin Khan, Faisal Tariq, ASM Ashraf Mahmud

“…Since the original optimisation problem is strictly non-convex, the problem is solved optimally by solving a corresponding power minimisation problem. …”
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Network access and spectrum allocation in next-generation multi-heterogeneous networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…Second, an intelligent optimization algorithm named improved non-dominated sorting genetic algorithm II is proposed, which combines the interference constraints of the primary network and the service quality requirements of the secondary users into the objective value evaluation of non-dominated sorting, and corrects the chromosomes that do not meet the constraints. …”
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Research on Space-Based Gravitational Wave Signal Denoising Based on Improved VMD with Parrot Algorithm by Jingyi Xi, Xiaolong Li, Yunqing Liu, Dongpo Xu, Qiuping Shen, Hanyang Liu

“…Gravitational wave (GW) signals are often affected by noise interference in the detection system; in order to attenuate the impact of detector noise and enhance the waveform characteristics of the signal, this paper proposes a space-based GW signal denoising method that combines the Parrot algorithm (PO) with the improved wavelet threshold (IWT) to optimize the variational mode decomposition (VMD). …”
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THz Connect: Energy-Efficient 6G Small Cells With Fuzzy Power Control and Advanced Clustering by Preksha Jain, Akhil Gupta, Nitin Rakesh, Rashmi Sharma, Manas Ranjan Pradhan

“…Further, we propose an advanced clustering scheme that effectively integrates user device energy, proximity, and antenna parameters to reduce interference and enhance the energy efficiency of MSBS.…”
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Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System by Zhengnan Lv, Zhenghao Xi

“…The algorithm is based on the correlation dictionary and achieves the efficient and optimal selection of large-scale antenna arrays in the millimetre-wave band. …”
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A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

“…Our findings culminate in a unified framework for optimizing instruction tuning, offering actionable, data-driven guidelines for balancing multi-domain performance and enhancing model generalization, thus advancing the field by providing a methodology to move from intuition to systematic optimization.…”
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Effect of canard-chordwise blowing on the aerodynamic characteristics of blended wing body aircraft by YUAN Changyun, XIA Ming, GAO Weicheng, SHI Weifeng, GONG Wenxiu, YUAN Haoqian

“…Increasing the blowing momentum coefficient produces more favorable interference. As the chordwise blowing position moves backwards, the canard and the whole aircraft lift coefficient increases gradually and then decreases, where an optimal range of chordwise blowing position can be reached. …”
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