Assessment of Mathematical Approaches for the Estimation and Comparison of Efficiency in qPCR Assays for a Prokaryotic Model by Jose Arturo Molina-Mora, Meriyeins Sibaja-Amador, Luis Rivera-Montero, Daniel Chacón-Arguedas, Caterina Guzmán, Fernando García

“…Quantitative PCR is a molecular technique for DNA quantification that depends on reaction efficiency and the Ct value (“cycle threshold”). …”
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Quantitative evaluation system of geothermal resources based on analytic hierarchy process: A case study of middle-deep hydrothermal sandstone reservoir in Caofeidian of Hebei Prov... by HE Dongbo, REN Lu, HAO Jie, LIU Xiaoping, CAO Qian

“…To quantitatively assess the quality of deep hydrothermal geothermal resources in the target area, with a focus on middle-deep hydrothermal resources in sedimentary basins, a comprehensive analysis is conducted. …”
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Quantitative evaluation of tight gas reservoir classification based on analytic hierarchy process: A case study of Penglaizhen Formation gas reservoir in Xinchang Gas Field by ZHOU Feng,HUANG Shilin,LI Xiaoming,LIAO Kaigui,LI Yong

“…Ultimately, this study offers valuable insights and a methodological framework for the efficient development of similar gas reservoirs.…”
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The efficiency of Amil Zakat Institutions (LAZ) in Indonesian Islamic Banks: Data Envelopment Analysis Approach by Rofiul Wahyudi, Agus Susetyohadi

“…However, a performance evaluation is needed to see how efficient the LAZ is in its operations. This study aims to analyze the level of efficiency of the LAZ of Islamic bank corporations in Indonesia. …”
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Efficient Gamma-Based Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement by Huitao Zhao, Shaoping Xu, Liang Peng, Hanyang Hu, Shunliang Jiang

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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

“…This framework delivers a rapid, physics-informed pathway to SAS boundary-condition design and establishes a quantitative foundation for future GT cooling-system innovation.Highlights Proposed AM-1D-CNN model improves heat transfer efficiency prediction.Attention mechanism enhances prediction accuracy compared to MLP and 1D-CNN.Response surface and gradient optimization identify optimal boundary conditions.Synergistic effect between key parameters enhances system performance.Optimization process identifies optimal boundary conditions for efficiency.…”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

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Measuring financial sector efficiency in China: A study based on an enhanced neoclassical production function. by Chuanzhen Zheng, Yuan Shan

“…This paper develops an approach for quantitatively assessing financial sector efficiency of a nation (hereinafter referred to as financial efficiency). …”
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METHODOLOGICAL BACKGROUND TO EFFICIENT ENGINEERING SYSTEM DESIGN OF SURFACE PLASTIC DEFORMATIONS BY FREE-MOVING INDENTERS by Valery Alexandrovich Lebedev, Roman Alexeyevich Mishchenko

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A blockchain based efficient incentive mechanism in tripartite cyber threat intelligence service marketplace by Yuan Zhou, Yaoyao Zhang, Qinglin Yang, Yuan Liu, Chunming Rong, Zhihong Tian

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Feature Engineering to Embed Process Knowledge: Analyzing the Energy Efficiency of Electric Arc Furnace Steelmaking by Quantum Zhuo, Mansour N. Al-Harbi, Petrus C. Pistorius

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Superpixel Technique Enabled Spatial Phase Modulation Equalization for Power-Efficient Vortex Beam Generation by Ruhao Zhao, Junpeng Zheng, Cong Zhang, Meng Xiang, Gai Zhou, Yi Xu, Yuwen Qin, Songnian Fu

“…Our results would facilitate various applications mediated by power-efficient phase modulation utilizing the SLM.…”
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Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) Quantitative Analysis of L-Arginine in Freeze-Dried Red Dragon Fruits (<i>Hylocereus polyhizus</i>) by Wan Mazlina Md Saad, Mohd Qamarul Aizat Isha, Muhamad Faizzudin Mohamad Zan, Siti Mastura Hanim Sallehoddin

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Analisis Kinerja Keuangan Bank Syariah Dengan Menggunakan Rasio Likuiditas, Solvabilitas dan Efisiensi by Tiara Nopiantika, Asnaini Asnaini, Yetti Afrida Indra

“…This study aims to determine the financial performance of Bank Muamalat Indonesia using liquidity, solvency and efficiency. this type of descriptive research with a quantitative approach. using secondary data, namely the annual financial statements of Bank Muamalat for the 2017-2020 period. …”
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Two-dimensional materials based two-transistor-two-resistor synaptic kernel for efficient neuromorphic computing by Qian He, Hailiang Wang, Yishu Zhang, Anzhe Chen, Yu Fu, Guodong Xue, Kaihui Liu, Shiman Huang, Yang Xu, Bin Yu

“…Additionally, we introduce the Gaussian noise quantization weight-training scheme alongside the ConvMixer convolution architecture to achieve image dataset identification with high accuracy. …”
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THE ECONOMIC IMPACT OF ARTIFICIAL INTELLIGENCE AND THE DILEMMAS SURROUNDING THE LABOUR MARKET by Noémi CSUNYÓ

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Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a hyperautomation mechanism by Xiaolan Wang

“…This study focuses on deep video encoding and proposes an efficient encoding method that integrates the Convolutional Neural Network (CNN) with a hyperautomation mechanism. …”
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YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…The proposed YOLORM model has the potential to significantly enhance safety and efficiency in industrial production processes.…”
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Resource-Efficient Cotton Network: A Lightweight Deep Learning Framework for Cotton Disease and Pest Classification by Zhengle Wang, Heng-Wei Zhang, Ying-Qiang Dai, Kangning Cui, Haihua Wang, Peng W. Chee, Rui-Feng Wang

“…Built upon the MobileViTv2 backbone, RF-Cott-Net integrates an early exit mechanism and quantization-aware training (QAT) to enhance deployment efficiency without sacrificing accuracy. …”
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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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