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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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

“…We also evaluated the effect of using different volumes of whole blood for DNA extraction on the assay performance.ResultsThe validation revealed: (1) specificity of 100% (n=5 independent experiments); (2) linearity with R2 values ≥ 0.98, a slope of −3.8 to −3.1, and efficiency 89–100%; (3) lower limit of detection of 0.3 parasites/microliter and lower limit of quantification of 2.6 parasites/microliter; (4) precision with both inter-assay repeatability and intra-assay reproducibility with coefficients of variation (CV) values of <10%; and (5) accuracy and good extraction efficiency of >90%. …”
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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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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

“…When assessing previously tested tick samples, its performance surpassed the nested PCR in efficiency, sensitivity, and specificity. Since the detection of <i>Borrelia</i> is more difficult in mammalian samples, the qPCR assay was also assessed using wildlife tissues. …”
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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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Assessing the Application Effects and Operating Conditions on Three Different Insulation Capacity Walls Using Internal Quantitative Infrared Thermography in China by Huanyu Li, Guohui Feng, Yi Pu, Han Wang

“…Against the backdrop of China’s carbon emission reduction goals, quantitative infrared thermography offers a promising avenue for advancing building energy efficiency testing. …”
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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

“…A deep learning model, based on DeepLabV3Plus and EfficientNet-B3, was developed for segmenting glomeruli and quantifying the morphological features by using digitized whole slide images from seven tertiary hospitals. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

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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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Climate, soil and management factors drive the quantitative relationships between soil fertility and spring maize water productivity in northern China by Jiao Shi, Minggang Xu, Xinhua He, Huaiping Zhou, Jianhua Li

“…To improve spring maize WP through enhanced soil fertility, the NW region, dry years, and NPK were parallelly optimal, while such WP increases were increased with N rate in NE and NW or planting pattern change in NC, each of them could efficiently benefit for using scarce water resources in dryland northern China and other dryland areas.…”
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Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…The results show that: the coal dust D90 after spray dust reduction decreases with the increase of the distance from the dust source to the spray frame, increases and then decreases with the increase of wind speed, and increases with the increase of water supply pressure, and there is a strong positive correlation between full dust, exhaled dust reduction efficiency and D90, the better the spray dust reduction effect, the larger the coal dust D90 after spray dust reduction; the weighting-based prediction model of coal dust D90 after dust spraying has higher accuracy and smaller error, and can accurately characterize the quantitative relationship between coal dust D90 after dust spraying and three influencing factors, namely, the distance of the spray frame from the dust source, the wind speed of the roadway, and the water supply pressure of the nozzle.…”
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Optimizing Virtual Power Plants Cooperation via Evolutionary Game Theory: The Role of Reward–Punishment Mechanisms by Lefeng Cheng, Pengrong Huang, Mengya Zhang, Kun Wang, Kuozhen Zhang, Tao Zou, Wentian Lu

“…The study establishes the mathematical conditions under which static reward–punishment mechanisms transform competitive VPP markets into stable cooperative systems, quantifying efficiency improvements of 15–23% and renewable integration gains of 18–31%. …”
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Energy Security of Local Government Units in the Face of the Energy Crisis in 2022–2023 by Sławomir Stec, Elżbieta Jadwiga Szymańska, Jolanta Stec-Rusiecka, Kornelia Osieczko-Potoczna, Artur Stec

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PRODUCTIVITY TRAITS OF THE NEW VARIETIES AND PROMISING LINES OF SOFT SPRING WHEAT DEVELOPED BY THE TATARSKY RIA by N. Z. Vasilova, D. F. Askhadullin, D. F. Askhadullin, Е. Z. Bagavieva, М. R. Tazutdinova, I. I. Khusainova, G. R. Nasikhova

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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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Construction and optimization of quantitative analysis models for pigments in broccoli (Brassica oleracea L. var. italica) based on near-infrared spectroscopy technology by Yijun Zhang, Jianguo Wu, Hao Zhang, Zhiwei Shen, Xiaoyu Bai, Xu Gao, Qiyun Zhu, Yunshuai Huang, Seung-Beom Hong, Zhujun Zhu, Daogen He, Yunxiang Zang

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Identification of powdery mildew resistance quantitative trait loci in melon and development of resistant near-isogenic lines through marker-assisted backcrossing by Chun-San Wang, Ssu-Yu Lin, Jin-Hsing Huang, Hsin-Yi Chang, Di-Kuan Lew, Yu-Hua Wang, Kae-Kang Hwu, Yung-Fen Huang

“…Therefore, identifying PM resistance quantitative trait loci (QTL) and creating trait-associated markers are essential for efficient melon PM resistance improvement through marker-assisted backcrossing (MABC). …”
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One-Point and Multiline Calibration Fiber-Optic Laser-Ablation Spark-Induced Breakdown Spectroscopy for Quantitative Analysis of Elements in Aluminum Alloys by Yipeng Liao, Xiaoyong He, Xi Wu

“…The OP-MLC FO-LA-SIBS system is compact, features simple spectra processing, and offers effective measurement, providing a convenient method for rapid and efficient quantitative analysis of elements in aluminum alloys in industrial production.…”
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