Screening of Reference Genes for Quantitative Real-time PCR in Curcuma alismatifolia Bracts by Jianjun TAN, Lishan HUANG, Yiwei ZHOU, Yechun XU, Yuanjun YE

“…【Objective】To screen suitable reference genes for Quantitative Real-time PCR(qRT-PCR) analysis in Curcuma alismatifolia bract, establishing the theoretical foundation for investigating the functional genes associated with bract color.…”
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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

“…Quantization enables complex predictive models to run on low-cost, energy-efficient devices, thereby democratizing advanced prediction technologies for critical applications like solar energy generation. …”
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An Improved Low-Bit-Rate Image Compression Framework Based on Semantic-Aware Model and Neighborhood Attention by Chengbin Zeng, Liang Zhang

“…This process can minimize quantization errors and facilitate efficient vector quantization. …”
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<italic>WhiteDwarf</italic>: A Holistic Co-Design Approach to Ultra-Compact Neural Inference Acceleration by Angel Lopez Garcia-Arias, Yasuyuki Okoshi, Jaehoon Yu, Junnosuke Suzuki, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Masato Motomura

“…The fabricated 40-nm CMOS chip, aimed at high inference accuracy and power efficiency, achieves 12.24 TFLOPS/W at 99% weight sparsity.…”
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Plant SILAC: stable-isotope labelling with amino acids of arabidopsis seedlings for quantitative proteomics. by Dominika Lewandowska, Sara ten Have, Kelly Hodge, Vinciane Tillemans, Angus I Lamond, John W S Brown

“…To illustrate the utility of this method, we have combined the high labelling efficiency (>95%) with quantitative proteomics analyses of seedlings exposed to increased salt concentration. …”
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Adaptive key distillation from channel characteristics by Qiao DAI, Liang JIN, Kai-zhi HUANG

“…Approaches generating secret keys based on radio channel characteristics can’t guarantee the key length and system efficiency at the same time because of the low entropy rate or high disagreement ratio of keys.An adaptive key distillation scheme based on the quantization of channel state information was designed.An upper bounding function was used as an approximation of the real one to improve the entropy of keys under the constraint of disagreement rate.Based on this,the key agreement scheme resulting in longer keys was selected.Simulation results show that with this scheme,the length of key and efficiency of the system can be guaranteed at the same time.…”
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Intelligent energy saving measurement method and realization of power grid based on IoT by Dapin ZHANG, Qinghai OU, Yeshen HE, Yiying ZHANG

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Application of Object Contrast for Forming Images Used in Technical Vision Systems for Navigation of Mobile Robots by Tymochko O., Boichenko О., Zakirov S., Holovniak D., Dmitriiev O., Padalka I.

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Quantitative nylon monomerization by the combination of chemical pretreatment and enzymatic hydrolysis using nylon hydrolases. by Yuki Shiraishi, Dai-Ichiro Kato, Kaito Miyazaki, Maina Yonemura, Yoko Furuno, Risa Yokoyama, Yukiko Yokogawa, Sho Nonaka, Yoshiro Kaneko, Keigo Ebata, Yuichiro Himeda, Seiji Negoro

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Quantitative Real-Time PCR Assay for Determining Transgene Copy Number in Transformed Plants by David J. Ingham, Sandra Beer, Stephanie Money, Geneviève Hansen

“…To develop the TaqMan copy number assay, we chose to utilize our highly efficient Agrobacterium-mediated transformation system of maize. …”
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A quantitative model of technological pedagogical content knowledge (TPACK) based on graphical calculation by Xinnan Zhao, Fengnian Wang

“…This study presents a highly efficient and practical model for applying the TPACK theoretical framework.…”
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Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…Advanced optimization algorithms were employed to efficiently address both the fitting and calculation tasks. …”
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Quantitative Study of Vitamin K in Plants by Pressurized Liquid Extraction and LC-MS/MS by Iryna Bryshten, Łukasz Paprotny, Małgorzata Olszowy-Tomczyk, Dorota Wianowska

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Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis by Xiaoyan Ma, Yanbin Zhang, Hui Cao, Shiliang Zhang, Yan Zhou

“…Accurate and fast determination of blood component concentration is very essential for the efficient diagnosis of patients. This paper proposes a nonlinear regression method with high-dimensional space mapping for blood component spectral quantitative analysis. …”
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Reference genes selection and validation in yam by real-time quantitative polymerase chain reaction by Linan Xing, Yanfang Zhang, Yanping Xing, Mingran Ge, Huiqin Miao, Xiuwen Huo

“…Abstract Gene expression pattern analysis plays a crucial role in omics research, as it helps us understand the regulatory mechanisms of gene expression and the associated biological processes. Real-time quantitative polymerase chain reaction (q-PCR) is an efficient method for studying gene expression. …”
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QTG-LGBM: A method of prioritizing causal genes in quantitative trait loci in maize by Chuang Wang, Shenshen Wu, Zhou Yao, En Luo, Junli Deng, Jianxiao Liu

“…Efficient and accurate identification of candidate causal genes within quantitative trait loci (QTL) is a significant challenge in genetic research. …”
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Reducing outpatient wait times through telemedicine: a systematic review and quantitative analysis by Tina Hernandez-Boussard, Claudio Passino, Michele Emdin, Sabina Nuti, Alberto Giannoni, Angelo Capodici, Francesca Noci, Stefano Dalmiani

“…This systematic review aims to quantitatively examine the impact of telemedicine implementation on waiting times, defined as the time passed from the booking of a visit for an outpatient to the administration of the service.Design A systematic review was conducted using studies on telemedicine interventions that specifically addressed waiting times. …”
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SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering by Xingting Yao, Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng, Jian Cheng

“…Experiments on multiple datasets demonstrate that our method outperforms previous SNN encoding schemes and artificial neural network (ANN) quantization methods in both rendering quality and energy efficiency. …”
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Quantitative Method of Response Value of Integrated Energy Equipment Based on Global Sensitivity Analysis by HUANG Yixiang, DOU Xun, LI Linxi, YANG Hanyu, YU Jiancheng, HUO Xianxu

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Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs by Junjian Wang, Francesco Tiezzi, Yijian Huang, Christian Maltecca, Jicai Jiang

“…Of the five linear methods, SLEMM-WW demonstrated the best balance of computational efficiency and predictive ability. GPUs offered significant computational efficiency gains for multi-layer FFNN models compared to CPUs, though FFNN models remained more computationally demanding than most linear methods. …”
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