Baculovirus superinfection: a probable restriction factor on the surface display of proteins for library screening. by Xiaodong Xu, Yuanrong Chen, Yu Zhao, Xiaofen Liu, Beitao Dong, Ian M Jones, Hongying Chen

“…Our data demonstrate that Sf9 cells were easily super-infectable during baculovirus infection, and super-infection could occur simultaneously at the time of the primary infection or subsequently during secondary infection by progeny viruses. The efficiency of super-infection may explain the difficulties of baculovirus display library screening but would benefit the production of complex proteins requiring co-expression of multiple polypeptides.…”
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Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System by Pavol Partila, Miroslav Voznak, Jaromir Tovarek

“…The purpose was to find an optimal combination of methods and group of features for stress detection in human speech. The research contribution lies in the design of the speech emotion recognition system due to its accuracy and efficiency.…”
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Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…The system was allowed to process complex tasks in real time directly in the field. …”
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A blood-based liquid biopsy analyzing soluble immune checkpoints and cytokines identifies distinct neuroendocrine tumors by Pablo Mata-Martínez, Lucía Celada, Francisco J. Cueto, Gonzalo Sáenz de Santa María, Jaime Fernández, Verónica Terrón-Arcos, Nuria Valdés, Vanesa García Moreira, María Isabel Enguita del Toro, Eduardo López-Collazo, María-Dolores Chiara, Carlos del Fresno

“…Due to their scarcity and absence of specific markers, diagnosing NENs remains a complex challenge. Therefore, new biomarkers are required, ideally, in easy-to-obtain blood samples. …”
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Elastic Relaxation of Coherent InGaN/GaN Interfaces at the Microwire LED Sidewall by Jongil Kim, Jinwook Yeo, Bumsu Park, Jeehun Jeong, Seunghwa Ryu, Sang Ho Oh

“…An analytical model is developed based on the Airy stress function, which incorporates the superposition of alternating in‐plane pre‐stress and the image stress to satisfy the boundary condition. The resultant complex strain fields in microscale LEDs, where surface emission is dominant, alter strain‐induced piezoelectric polarization near the surface, significantly affecting electro‐optical efficiency and resulting in spectral broadening and/or wavelength shifts in emitted light.…”
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Strong parameter hierarchy in the interstellar phosphorus chemical network by Marina Fernández-Ruz, Marina Fernández-Ruz, Izaskun Jiménez-Serra, Mario Castro, Mario Castro, Marta Ruiz-Bermejo, Jacobo Aguirre, Jacobo Aguirre

“…In this study, we introduce the Fisher Information Spectral Reduction (FISR) algorithm, a novel and computationally efficient method to reduce the complexity of such sloppy models. …”
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Correction of Wavefront Distortion in Common Aperture Optical Systems Based on Freeform Lens by Jiadong Yu, Xianglong Mao

“…The common aperture optical system enhances light utilization efficiency during the imaging process by utilizing a single shared aperture. …”
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Uses of Molecular Docking Simulations in Elucidating Synergistic, Additive, and/or Multi-Target (SAM) Effects of Herbal Medicines by Sean P. Rigby

“…The aim of this work was to review the uses of molecular-docking simulations in the detection and/or elucidation of SAM effects with herbal medicines. …”
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Optimization with Time and Frequency Constraints Using Automatic Differentiation: Application to an Aircraft Electrical Power Channel by Lucas Agobert, Laurent Gerbaud, Benoit Delinchant

“…Optimal sizing, on top of developing such a model, is a significant challenge for designers, particularly due to the complexity of incorporating efficiently both time-domain and frequency-domain constraints and objectives. …”
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A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…Automated models can rapidly and accurately process large datasets, revolutionizing tumor detection and classification. However, existing methods often rely on single attention mechanisms, failing to fully exploit the complexity of pathological images, especially in extracting critical features from whole-slide images. …”
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A Novel TKEO With the Decision Tree–Based Method for Fault Analysis of the HVDC Transmission Link Fed by Offshore Wind and Solar Farms by Rajesh Babu Damala, Ramana Pilla, V. Manoj, S. Ramana Kumar Joga, Chidurala Saiprakash, Theophilus A. T. Kambo

“…Detecting and classifying various faults on high voltage DC transmission (HVDC) lines and pinpointing their locations are crucial tasks for the power system’s efficient operation. …”
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Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…The method was tested using the Rosario dataset, which includes scenarios representative of complex agricultural environments. (Results and discussion) The proposed depth map reconstruction method demonstrates a significant improvement in quality metrics. …”
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Comparison of Radio Interferometers with Analog and Digital Extraction of Recorded Signal by N. E. Kol'tso, S. A. Grenkov, L. V. Fedotov

“…An ability to connect the RT-13 radio telescope to the “Quasar” VLBI complex and to international VLBI networks provides by a digital narrow-band signal extraction module developed in 2019.Aim. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…These signals can be obscured by noise or exhibit complex, non-stationary behavior, making them difficult to detect and analyze using conventional Fourier-based methods. …”
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Quantum resonant dimensionality reduction by Fan Yang, Furong Wang, Xusheng Xu, Pan Gao, Tao Xin, ShiJie Wei, Guilu Long

“…Therefore, compared with existing algorithms, our algorithm has achieved the optimal performance in terms of time complexity and space complexity. We demonstrate the performance of our algorithm combining with two types of quantum classifiers, quantum support vector machines and quantum convolutional neural networks, for classifying underwater detection targets and quantum many-body phase, respectively. …”
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基于刀具实际廓形的数控加工刀具轨迹计算 by 段振云, 王君, 赵文辉

“…Put forward taking advantage of the actual tool profile. To machine the complex surface,usege of the actual tool profile is put forward. …”
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Systems monitoring platform integrating artificial intelligence for incident response in servers by Bruno Hiroshi Espinosa-Luna, Johann Castillo-Oliva, Willy Francisco García-Gutiérrez, Alberto Carlos Mendoza-de-los-Santos

“… The increasing complexity of IT management and the need to monitor critical infrastructure metrics, such as CPU usage, memory, storage, and service logs, detect failures, and respond quickly to alerts, imply the adoption of advanced technologies that enable comprehensive monitoring and efficient response. …”
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Study on Temperature Effects and Energy Resolution of Large-size BGO-SiPM Detector by SONG Luyang1, SU Jun1, , ZHANG Liyong1, CHEN Junfeng2, LIU Fengcheng1, QIN Zhiwei1, SHENG Yaode1, JIANG Xinzhi1, CHEN Xin1, LIN Shen1, HUANG Yitong1, WANG Lin1, SHEN Yangping3, JIN Shilun4, LU Fei5

“…The design of gamma-ray detector arrays is often constrained by the use of photomultiplier tubes (PMTs), whose substantial bulkiness introduces numerous design constraints, thereby limiting improvements in key performance metrics such as detection efficiency, compactness, and granularity. …”

Robust Network Traffic Classification Based on Information Bottleneck Neural Network by Wei Lin, Yu Chen

“…Recent advances in machine learning have improved NTC but often struggle with data labeling, encrypted traffic, and model complexity. This paper introduces a novel Information Bottleneck Neural Network (IBNN) to address these challenges by efficiently extracting essential features from raw traffic data while minimizing irrelevant information. …”
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A Hybrid Approach to Enhanced Signal Denoising Using Data-Driven Multiresolution Analysis with Detrended-Fluctuation-Analysis-Based Thresholding and Stationary Wavelet Transform by Fatima Kozhamkulova, Muhammad Tahir Akhtar

“…It is demonstrated that the proposed method outperforms the state-of-the-art denoising methods and with a comparable computational complexity.…”
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