A micro-costing study of mass-spectrometry based quantitative proteomics testing applied to the diagnostic pipeline of mitochondrial and other rare disorders by Francisco Santos Gonzalez, Daniella H. Hock, David R. Thorburn, Dylan Mordaunt, Nicholas A. Williamson, Ching-Seng Ang, David A. Stroud, John Christodoulou, Ilias Goranitis

“…Abstract Background Mass spectrometry-based quantitative proteomics has a demonstrated utility in increasing the diagnostic yield of mitochondrial disorders (MDs) and other rare diseases. …”
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Development of a Multiplex Quantitative Polymerase Chain Reaction Assay for the Detection of Duck Enteritis Virus, Goose Parvovirus, and Muscovy Duck Parvovirus by Qian Qiu, Ruiming Hu, Zirui Liu, Linjie Yan, Fan Yang, Xueyan Dai, Chenghong Xing, Huabin Cao

“…In this study, a TaqMan probe-based multi-quantitative polymerase chain reaction (qPCR) assay was developed and optimized. …”
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Quantitative evaluation of essential amino acids and omega-3 long-chain polyunsaturated fatty acids from global marine bivalve aquaculture by Karsoon Tan, Peng Xu, Leiheng Huang, Cong Luo, KhaiHang Choong, Zexin Li, Yu Guo, Kit-Leong Cheong

“…Among different bivalve species, clams and scallops are the most efficient producers of EPA + DHA and EAAs, while oysters produce the least. …”
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DESIGNING A REWARD MANAGEMENT SYSTEM TO INCREASE EMPLOYEES’ SATISFACTION by Madalina BRUTU

“…This paper starts from the idea that the efficiency of the employees' work depends on the company's reward system and especially on their perception of the rewards granted. …”
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Development of a duplex chamber digital PCR to quantify twelve genetically modified maize events by Eun-Ha Kim, Youn-Sung Cho, Byeori Kim, Yelinn Yoo, Jae-In Lee, Young Soon Kim, Tae-Sung Park

“…Comparative analysis with real-time quantitative PCR (qPCR) showed comparable accuracy; however, cdPCR provided advantages in cost-efficiency and operational simplicity. …”
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Inter-call intervals, but not call durations, adhere to Menzerath’s Law in the submissive vocal bouts of meerkats by Stuart Kyle Watson, Mara Zali, Nikola Falk, Paul Widmer, Marta B Manser

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Diversity in Notch ligand-receptor signaling interactions by Rachael Kuintzle, Leah A Santat, Michael B Elowitz

“…A fundamental question is how the strength of Notch signaling depends on which pathway components are expressed, at what levels, and in which cells. Here, we used a quantitative, bottom-up, cell-based approach to systematically characterize trans-activation, cis-inhibition, and cis-activation signaling efficiencies across a range of ligand and Fringe expression levels in Chinese hamster and mouse cell lines. …”
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Minimizing DNA contamination by using UNG-coupled quantitative real-time PCR on degraded DNA samples: application to ancient DNA studies by Mélanie Pruvost, Thierry Grange, Eva-Maria Geigl

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An Integrated PMA Pretreatment Instrument for Simultaneous Quantitative Detection of <i>Vibrio parahaemolyticus</i> and <i>Vibrio cholerae</i> in Aquatic Products by Yulong Qin, Rongrong Xiong, Yong Zhao, Zhaohuan Zhang, Yachang Yin

“…Leveraging this system, a duplex qPCR assay was optimized for simultaneous quantitative detection of <i>V. parahaemolyticus</i> and <i>V. cholerae</i> in aquatic products and environmental samples. …”
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SYBR GreenⅠReal-Time Fluorescence Quantitative PCR for Parasitic Boveria labialis Identification from the Sea Cucumber Apostichopus japonicus by Wenyue HAO, Jinjin WANG, Jianlong GE, Bin LI, Yingeng WANG, Meijie LIAO, Xiaojun RONG, Hongjing ZHAO, Minqi JIANG, Wenguang ZHAO, Licheng NIU, Jiao PAN

“…Boveria disease affects the aquaculture efficiency of sea cucumbers. Boveria labialis causes Boveria disease in Apostichopus japonicus. …”
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A comparison of computational efficiencies of stochastic algorithms in terms of two infection models by H. Thomas Banks, Shuhua Hu, Michele Joyner, Anna Broido, Brandi Canter, Kaitlyn Gayvert, Kathryn Link

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Predicting adenine base editing efficiencies in different cellular contexts by deep learning by Lucas Kissling, Amina Mollaysa, Sharan Janjuha, Nicolas Mathis, Kim F. Marquart, Yanik Weber, Woohyun J. Moon, Paulo J. C. Lin, Steven H. Y. Fan, Hiromi Muramatsu, Máté Vadovics, Ahmed Allam, Norbert Pardi, Ying K. Tam, Michael Krauthammer, Gerald Schwank

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Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications by Lih-Jen Kau, Chin-Kun Tseng, Ming-Xian Lee

“…With the rapid expansion of Internet of Things (IoT) and edge computing applications, efficient video transmission under constrained bandwidth and limited computational resources has become increasingly critical. …”
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MMLT: Efficient object tracking through machine learning-based meta-learning by Bibek Das, Asfak Ali, Suvojit Acharjee, Jaroslav Frnda, Sheli Sinha Chaudhuri

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Are Religious Believers Irrational: A Direct Test from an Efficient Market Hypothesis by Chamil W. Senarathne

“…The current literature does not offer a quantitative test of the irrational behaviour of people, especially taking a proxy for irrationality with reference to an economic activity. …”
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Grain intermodal terminals: evaluation of pure technical efficiency by Data Envelopment Analysis by Maria Gabriela Mendonça Peixoto, Maria Cristina Angélico Mendonça, Marcel Andreotti Musetti, Mario Otavio Batalha, Renato Luiz Sproesser

“…Abstract This paper aimed to verify if terminals with productive efficiency also have pure technical efficiency, using DEA (Data Envelopment Analysis) technique. …”
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An Ising Spin-Based Model to Explore Efficient Flexibility in Distributed Power Systems by Francisco Prieto-Castrillo, Amin Shokri Gazafroudi, Javier Prieto, Juan Manuel Corchado

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A Distribution-Free Approach to Stochastic Efficiency Measurement with Inclusion of Expert Knowledge by Kerry Khoo-Fazari, Zijiang Yang, Joseph C. Paradi

“…This paper proposes a new efficiency benchmarking methodology that is capable of incorporating probability while still preserving the advantages of a distribution-free and nonparametric modeling technique. …”
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Optimizing Liquid Electron Ionization Interface to Boost LC-MS Instrumental Efficiency by Tommaso Grazioso, Genny Grasselli, Adriana Arigò, Giorgio Famiglini, Achille Cappiello

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On Efficient Monitoring of Weibull Lifetimes Using Censored Median Hybrid DEWMA Chart by Syed Muhammad Muslim Raza, Sajid Ali, Ismail Shah, Lichen Wang, Zhen Yue

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