A new peptide inhibitor of C1QBP exhibits potent anti‐tumour activity against triple negative breast cancer by impairing mitochondrial function and suppressing homologous recombina... by Xingxing Li, Yue Wu, Min Zhang, Fengliang Wang, Hong Yin, Yanrong Zhang, Shuli Zhao, Jiehua Ma, Mingming Lv, Cheng Lu

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BrainFit: improving executive and subjective cognitive functioning in late-life mood disorders - a double-blind randomized active-controlled study evaluating the effect of online c... by Mardien L. Oudega, Mardien L. Oudega, Mardien L. Oudega, Mardien L. Oudega, Margot J. Wagenmakers, Margot J. Wagenmakers, Margot J. Wagenmakers, Tanya Palsma, Adriaan W. Hoogendoorn, Adriaan W. Hoogendoorn, Chris Vriend, Chris Vriend, Chris Vriend, Odile A. van den Heuvel, Odile A. van den Heuvel, Odile A. van den Heuvel, Sigfried Schouws, Sigfried Schouws, Annemiek Dols, Annemiek Dols, Annemiek Dols

“…Therefore, we aimed to assess the efficacy of adaptive, computerized cognitive training (CT) on executive and subjective cognitive functioning in LLMD.MethodsIn this double-blind, randomized controlled study we enrolled patients over the age of 50 with partly remitted LLMD. …”
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Genome-Wide Identification of <i>PP2C</i> Gene Family in Oat (<i>Avena sativa</i> L.) and Its Functional Analyses in Response to ABA and Abiotic Stresses by Panpan Huang, Kuiju Niu, Jikuan Chai, Wenping Wang, Yanming Ma, Yanan Cao, Guiqin Zhao

“…Intriguingly, these genes exhibited dynamic expression patterns under varying stress conditions, with their transcriptional responses being both time-dependent and stress-dependent, highlighting their regulatory roles in oat stress adaptation. Collectively, this study provides the first comprehensive genomic and functional characterization of the <i>PP2C</i> family in oat, offering valuable insights into their evolutionary diversification and functional specialization.…”
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Functional Characterization of the <i>PoWHY1</i> Gene from <i>Platycladus orientalis</i> and Its Role in Abiotic Stress Tolerance in Transgenic <i>Arabidopsis thaliana</i> by Chun Ou, Zhiyu Dong, Xudong Zheng, Wenhui Cheng, Ermei Chang, Xiamei Yao

“…From the above results, it can be concluded that maintaining high <i>PoWHY1</i> expression levels in the leaves of <i>P. orientalis</i> can improve their environmental adaptability. The results provide a scientific basis for understanding the gene function of the <i>PoWHY1</i> gene of <i>P. orientalis</i> under stress conditions and lay the foundation for further research on the function of the <i>PoWHY1</i> gene.…”
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A randomised comparative effectiveness trial exploring two lower-dose resistance training modalities on quality of life, functional capacity and strength in healthy, untrained comm... by Liam T. Pearson, Alena Pönitzová, Myles Stelling, David Duffy, Ashleigh Keenan, David G. Behm, Samuel Stuart, Stuart Goodall, Gill Barry

“…This study investigated whether a lower volume of once-weekly resistance training (RT) could elicit meaningful improvements in quality of life (QoL), functional capacity and strength in untrained older adults, aiming to determine if reduced training volume could yield meaningful adaptations. …”
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Impact of Virtual Reality on Brain–Computer Interface Performance in IoT Control—Review of Current State of Knowledge by Adrianna Piszcz, Izabela Rojek, Dariusz Mikołajewski

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State information-driven surrogate-assisted differential evolution for computationally expensive constrained optimization problems by Zihua Zhu, Zan Yang, Zhiyong Liu, Liming Chen, Xiwen Cai

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Genome-Wide Identification of LACS Family Genes and Functional Characterization of <i>CaLACS6/9</i> in Response to Cold Stress in Pepper (<i>Capsicum annuum</i> L.) by Jianwei Zhang, Yue Chen, Jing He, Dong Wang, Yao Jiang, Xianjun Chen, Qin Yang, Huanxiu Li

“…The findings of this study provide valuable insights into the functional roles of the <i>CaLACS</i> gene family and highlight <i>CaLACS6</i> and <i>CaLACS9</i> as promising candidate genes for enhancing cold tolerance in pepper.…”
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Cognitive function and associations with demographic, socioeconomic, health and behavioural factors among older adult men and women in rural Bangladesh: a population-based cross-se... by Edward Fottrell, Harry Costello, Naveed Ahmed, Carina King, Sanjit Kumer Shaha, Tasmin Nahar, Malini Pires, Andrew Copas, Hassan Haghparast-Bidgoli, Joanna Morrison, Abdul Kuddus, Kishwar Azad

“…Methods: We conducted a population-based cross-sectional study of a random sample of men and women aged 60 years and above in 96 rural villages in Bangladesh. Cognitive function was measured using the Bangla Adaptation of the Mini-mental State Examination (BAMSE), where higher score indicates higher function. …”
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Transcriptome Analyses Reveal the Molecular Response of Juvenile Greater Amberjack (<i>Seriola dumerili</i>) to Marine Heatwaves by Yali Tian, Liancheng Li, Hongzhao Long, Dongying Zhang, Chen Wang, Ruijuan Hao, Hang Li, Xiaoying Ru, Qiuxia Deng, Qin Hu, Yang Huang, Chunhua Zhu

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Unveiling Structural Heterogeneity and Evolutionary Adaptations of Heteromultimeric Bacterioferritin Nanocages by Yingxi Li, Weiwei Wang, Wei Wang, Xing Zhang, Jinghua Chen, Haichun Gao

“…While the structure and function of homo‐multimeric bacterioferritins (homo‐Bfrs) have been extensively studied, little is known about the assembly, distinctive characteristics, or evolutionary adaptations of hetero‐multimeric bacterioferritins (hetero‐Bfrs). …”
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STRUCTURAL DAMAGE IDENTIFICATION BASED ON LMD SAMPLE ENTROPY AND RBF NETWORK by WANG MingYue, MIAO BingRong, LI Xu Juan, YANG ZhongKun

“…Adaptive time frequency analysis based on local mean decomposition and nonlinear quantization ability of sample entropy,combined with radial basis function（ RBF） neural network. …”
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Portfolio optimization with MOPSO-Shrinkage hybrid model by Minh Tran, Nhat M. Nguyen

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Height of Hydraulic Fracture Zone Based on PSO_LSSVM Model by Hebin Zhang, Tingting Wang, Bin Wu, Haijun Feng

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A SAM-Based Detection Method for the Distance Between Air-Craft Fire Detection Lines by Mo Chen, Sheng Cheng, Yan Liu, Qifan Yin, Hongfu Zuo

“…This model uses a low-rank fine-tuning strategy (LoRA) to fine-tune the encoder and mask decoder synchronously and incorporates a fusion loss function for adaptive training of the target task. …”
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Enhanced DWT for Denoising Heartbeat Signal in Non-Invasive Detection by Peibin Zhu, Lei Feng, Kaimin Yu, Yuanfang Zhang, Wen Chen, Jianzhong Hao

“…In this paper, we propose an enhanced discrete wavelet transform (DWT) method that incorporates objective denoising quality assessment metrics to determine accurate thresholds and adaptive threshold functions. Our approach begins by denoising ECG signals from various databases, introducing several types of typical noise, including additive white Gaussian (AWG) noise, baseline wandering noise, electrode motion noise, and muscle artifacts. …”
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Children who screen positive for autism at 2.5 years and receive early intervention: a prospective naturalistic 2-year outcome study by Spjut Jansson B, Miniscalco C, Westerlund J, Kantzer A, Fernell E, Gillberg C

“…Conclusion: The main finding was that the type of intervention was not critical for outcome of adaptive or global functioning. The variability in outcome demonstrates the need for continuous assessments and evaluation of the child&amp;rsquo;s function and behavior throughout the intervention&amp;nbsp;period. …”
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Thresholding Dolphin Whistles Based on Signal Correlation and Impulsive Noise Features Under Stationary Wavelet Transform by Xiang Zhou, Ru Wu, Wen Chen, Meiling Dai, Peibin Zhu, Xiaomei Xu

“…The time–frequency characteristics of dolphin whistle signals under diverse ecological conditions and during environmental changes are key research topics that focus on the adaptive and response mechanisms of dolphins to the marine environment. …”
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Integrating attention mechanism and boundary detection for building segmentation from remote sensing images by Ping Liu, Yu Gao, Xiangtian Zheng, Hesong Wang, Yimeng Zhao, Xinru Wu, Zehao Lu, Zhichuan Yue, Yuting Xie, Shufeng Hao

“…The module captures image feature information in the channel dimension using a one-dimensional convolutional cross-channel method and automatically adjusts the cross-channel dimension using adaptive convolutional kernel size. Additionally, a weighted boundary loss function is designed to replace the traditional semantic segmentation cross-entropy loss to detect the boundary of a building. …”
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An Enhanced and Lightweight YOLOv8-Based Model for Accurate Rice Pest Detection by Guisuo Liu, Juxing Di, Qing Wang, Yan Zhao, Yang Yang

“…Subsequently, the Shape-IoU loss function is employed to enhance the model&#x2019;s sensitivity and precision in target recognition. …”
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