Genomic Prediction in a Self-Fertilized Progenies of <i>Eucalyptus</i> spp. by Guilherme Ferreira Melchert, Filipe Manoel Ferreira, Fabiana Rezende Muniz, Jose Wilacildo de Matos, Thiago Romanos Benatti, Itaraju Junior Baracuhy Brum, Leandro de Siqueira, Evandro Vagner Tambarussi

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The Responses of Vegetation Production and Evapotranspiration to Inter-Annual Summer Drought in Northeast Asia Dryland Regions (NADRs) by Wenping Kang, Sinkyu Kang, Shulin Liu, Tao Wang

“…These observations would be useful to understand the ecosystem process and to account for the dynamics of ecosystem water use efficiency during drought disturbance in depth.…”
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Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction by Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín

“…This work makes use of the vast generalist knowledge of LVLMs and explores efficient adaptation techniques with a view to utilising them as memorability predictors. …”
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Detection of Phosphorus in Water by Laser-Induced Breakdown Spectroscopy Based on Liquid-Solid Transformation of Graphite Substrate Combined with PLS-SVR Fusion Quantitative Analys... by Huijie Zhang, Yao Chen, Zongjie Bi, Xiaohua Che, Zhaoshuo Tian

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Comparative Performance Analysis of GRPC and Rest API Under Various Traffic Conditions and Data Sizes Using a Quantitative Approach by Moch. Zukhruf Ain, Rizka Ardiansyah, Septiano Anggun Pratama, Muhammad Akbar, Nouval Trezandy Lapatta

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Optimizing interpolation and quantitative morphometry analysis suitability to soil erodibility modeling for soil erosion risk mapping in a complex topography by Solomon Temidayo Owolabi, Johanes A. Belle

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Quantitative Assessment of Vessel Traffic Service Center Workload: Development and Validation of the Vessel Traffic Service Operator Workload Index (VOWI) by Gil-Ho Shin, Chae-Uk Song, Daewon Kim

“…This study addresses the critical challenge of lacking quantitative measures for objective evaluation of vessel traffic service (VTS) operator workload, where current uniform staffing approaches fail to reflect center-specific operational characteristics. …”
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Direct Visualization and Quantitative Insights into the Formation and Phase Evolution of Cu Nanoparticles via In Situ Liquid Phase 4D‐STEM by Ningyan Cheng, Hongyu Sun, Yevheniy Pivak, Christian H. Liebscher

“…Abstract Copper (Cu)‐based nanomaterials are one of the most efficient heterogeneous electrocatalysts for the CO2 reduction reaction. …”
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T-blocker: a simple and robust probe-free quantitative PCR assay to detect somatic mutations down to 0.1% frequency by Hanyoup Kim, Aaron E Ruby, Harini G Shandilya, Arvind K Virmani, Nandita Rahman, Christina M Strange, Jarkko Huuskonen

“…We have developed a simple and robust probe-free quantitative PCR (qPCR) assay method that can detect minor mutant alleles with a frequency as low as 0.1% in a heterogeneous sample by introducing a novel T-blocker concept to the allele-specific PCR method. …”
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Analysis of an Aqueous Extract from Turkish Galls Based on Multicomponent Qualitative and Quantitative Analysis Combined with Network Pharmacology and Chemometric Analysis by Ya Zeng, Lu Zhao, Meng Hao, Mirzat Maimaiti, Zhi Li, Minghui Zhang, Xuan Ma

“…This study determined a quality index for TG, providing a reference for quality evaluation and introducing a cost-effective and efficient quality control method. Furthermore, it addressed the challenge of developing new Chinese medicine by overcoming the lack of reference substances.…”
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Quantitative research of multiscale microstructural evolution during creep of 800H alloy assisted by high-throughput characterization and deep learning by Menglin Gao, Xing Hu, Shengjun Xia, Yingjie Zhan, Xu Li, Shuai Li, Ziqiang Wang, Wei Liu, Qiulin Li

“…By leveraging these quantitative data, we proposed multiscale microstructural evolution patterns and mechanisms during creep. …”
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An efficient post-processing adaptive filtering technique to rectifying the flickering effects. by Anudeep Gandam, Jagroop Singh Sidhu, Sahil Verma, N Z Jhanjhi, Anand Nayyar, Mohamed Abouhawwash, Yunyoung Nam

“…This paper focuses on an efficient pre-and post-processing technique (PP-AFT) to address and rectify the problems of quantization error, ringing, blocking artifact, and flickering effect, which significantly degrade the visual quality of video frames. …”
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Feature-Based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy by Feng Wang, M. Cenk Gursoy, Senem Velipasalar

“…In this paper, we propose feature-based federated transfer learning as a novel approach to improve communication efficiency by reducing the uplink payload by multiple orders of magnitude compared to that of existing approaches in federated learning and federated transfer learning. …”
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Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications by Seung Yeon Cho, Yisak Kim, Sehoon Park, Jin Ho Paik, Ho Jun Chin, Jeong Hwan Park, Jung Pyo Lee, Yong-Jin Kim, Sun-Hee Park, Ho-chang Lee, Hyunjeong Cho, Beom Jin Lim, Hyung Woo Kim, Seung Hyeok Han, Heounjeong Go, Chung Hee Baek, Hajeong Lee, Kyung Chul Moon, Young-Gon Kim

“…We propose artificial intelligence-based frameworks for quantitatively analyzing glomerular histologic features that can predict kidney progression in IgAN. …”
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Evaluation of Irrigation Management and Plastic Mulch Effects on Water Productivity and Quantitative and Qualitative Yield of Lemon Balm (Melissa officinalis L.) by N. Najafi Iman Abadi, M.A. Gholami Sefidkouhi, S. Shiukhy-Soqanloo

“…Moreover, given the current water scarcity conditions, improving the quantitative and qualitative yield of medicinal plants relies heavily on effective irrigation management and efficient cultivation practices.   …”
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An adaptive dual distillation framework for efficient remaining useful life prediction by Xiang Cheng, Jun Kit Chaw, Shafrida Sahrani, Mei Choo Ang, Saraswathy Shamini Gunasekaran, Moamin A. Mahmoud, Halimah Badioze Zaman, Yanfeng Zhao, Fuchen Ren

“…Finally, generality and quantization experiments validate its broad applicability and deployability. …”
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Quantification of Plasmodium falciparum: validation of quantitative polymerase chain reaction assays for detection of parasites in controlled human malaria infection studies by Elizabeth Kibwana, Domtila Kimani, Nick J. Edwards, Kelvias Keter, Agnes Mutiso, Lydia Nyamako, Rose Gatheru, Adrian V. S. Hill, Philip Bejon, Philip Bejon, Katie J. Ewer, Melissa C. Kapulu, Melissa C. Kapulu

“…The monitoring of infection has historically been carried out by microscopy and/or more recently sensitive quantitative polymerase chain reaction (qPCR) based on the 18S ribosomal RNA (rRNA) gene. …”
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Development, Optimization, and Validation of a Quantitative PCR Assay for <i>Borrelia burgdorferi</i> Detection in Tick, Wildlife, and Human Samples by Julie Lewis, Vett K. Lloyd, Gilles A. Robichaud

“…We developed, optimized, and validated a reliable quantitative PCR (qPCR; real-time PCR) assay to assess Borrelia burgdorferi infection by targeting two B. burgdorferi genes, <i>ospA</i> and <i>flaB</i>. …”
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Quantitative Assessment of Age-Friendly Design in Mountainous Urban Community Parks Based on Nonlinear Models: An Empirical Study in Chongqing, China by Liping Wang, Xiufeng Sun, Junru Yan, Meiru Xie, Hua Qin

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Rapid Quantitative Detection of Dye Concentration in Pt/TiO₂ Photocatalytic System Based on RGB Sensing by Cuiyan Han, Ziao Wang, Jiahong Cui, Shuqi Liu, Liu Yang, Yang Fu, Baolin Zhu, Cheng Guo

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