Efficient detection of gastric cancer biomarkers on functionalized carbon nanoribbons using DFT analysis by Ibrahim Alghoul, Tanveer Hussain, Shahid Nazir, Nacir Tit

“…Appropriate $$\:{E}_{ads}$$ values along with distinct variations in the electronic and magnetic properties, measured through band structures, density of states, work function and charge transfer analysis, validated the potential of TM-doped N-CNRs as efficient biosensors towards GC-related VOCs. …”
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Methods and procedures for a systemic functional linguistic analysis: An investigation into clause complexing relations by Sridevi Sriniwass

“…The theoretical framework of systemic functional linguistics (SFL) outlined by Halliday and Matthiessen (2004 based in turn on Halliday (1994/1985)) was used as the main research tool. …”
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Geometric Analysis of Mass Formation and Proportions in Combined Function Buildings in Anatolian Seljuk Architecture by Funda Gençer

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Recombinant Expression and Functional Analysis of the AEJ-CHAP Domain from Staphylococcus aureus Endolysin by Jingjing DENG, Hui YIN, Waner LI, Zhanpeng LI, Jian LI, Hongzhou LÜ

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Integrating comprehensive functional annotations to boost power and accuracy in gene-based association analysis. by Corbin Quick, Xiaoquan Wen, Gonçalo Abecasis, Michael Boehnke, Hyun Min Kang

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Methods and procedures for a systemic functional linguistic analysis: An investigation into clause complexing relations by Sridevi Sriniwass

“…The theoretical framework of systemic functional linguistics (SFL) outlined by Halliday and Matthiessen (2004 based in turn on Halliday (1994/1985)) was used as the main research tool. …”
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Retracted: Analysis of Psychological and Emotional Tendency Based on Brain Functional Imaging and Deep Learning by Discrete Dynamics in Nature and Society

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Comparative Analysis of Physical Function and Adipomyokines According to Exercise Type in Obese Elderly Women by Chan-Yang Kim, Yong-Hyun Byun

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Risk of chronic pancreatitis in carriers of loss-of-function CTRC variants: A meta-analysis. by Amanda Takáts, Gergő Berke, Noémi Gede, Balázs Csaba Németh, Heiko Witt, Stanisław Głuszek, Agnieszka Magdalena Rygiel, Péter Hegyi, Miklós Sahin-Tóth, Eszter Hegyi

“…Here, we performed a meta-analysis of published studies on four variants that alter the CTRC amino-acid sequence, are clinically relatively common (global carrier frequency in CP >1%), reproducibly showed association with CP and their loss of function phenotype was verified experimentally. …”
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Functional analysis of Rossmann-like domains reveals convergent evolution of topology and reaction pathways. by Kirill E Medvedev, Lisa N Kinch, R Dustin Schaeffer, Nick V Grishin

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Comparative Analysis and Optimal Selection of Calibration Functions in Pure Rotational Raman Lidar Technique by Yinghong Yu, Siying Chen, Wangshu Tan, Rongzheng Cao, Yixuan Xie, He Chen, Pan Guo, Jie Yu, Rui Hu, Haokai Yang, Xin Li

“…The pure rotational Raman (PRR) lidar technique relies on calibration functions (CFs) to extract temperature information from raw detection data. …”
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Integrated analysis of gene networks and cellular functions identifies novel heart failure biomarkers by Jiang Juncheng, Chen Lei, Lin Hao, Liang Fei

“…Abstract Introduction Heart failure (HF) is a complex clinical condition characterized by impaired cardiac function and progressive structural remodeling. To elucidate the molecular mechanisms driving HF, this study aimed to identify key regulatory hub genes, explore their functional relevance, and assess their diagnostic and therapeutic potential. …”
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Genome-wide identification and functional analysis of the GRAS gene family in Medicago lupulina L by Li Fan, Ruimiao Wang, Pedro García-Caparrós, Lihua Meng, Xudong Sun

“…To further predict the potential functions of MlPAT1s genes, we performed molecular cloning and transcriptional activation assays on MlGRAS3/31/35/62/65. …”
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Multi-Functional Optical Spectrum Analysis Using Multi-Task Cascaded Neural Networks by Haoyu Wang, Sheng Cui, Changjian Ke, Chenglong Yu, Zi Liang, Deming Liu

“…We demonstrate that, compared with the multi-task artificial neural network (MT-ANN) and convolutional neural network (MT-CNN), the proposed multi-task cascaded ANNs (CANN) and cascaded CNNs (CCNN) can greatly improve the OSA performance and accelerate the training process by exploiting specific features and loss functions for different tasks. The CCNN able to deal with the high-resolution OS (HOS) can further improve the OSA performance compared with the CANN. …”
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Analysis of diagnostic decision in acupuncture from the actual functional dyspepsia patient's clinical information by Song-Yi Kim, San Hwa Hong, Jae-Woo Park, Hyangsook Lee, Jaeyoung Kim, Yangseok Kim, You-Sang Baik, Seok-Jae Ko, Seul-Ki Kim, In-Seon Lee, Younbyoung Chae, Hi-Joon Park

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Analysis on Full Automatic Operation Scenes and Related Functional Requirements of Urban Railway Transport by Pengzhe WEN, Daoliang XU, Shijie GAO, Xiangtao LI

“…Taking the automatic car wash scene and the large passenger flow operation scene as examples for analysis, the functional requirements of communication, signal, vehicle, integrated supervisory and control, platform edge door, car washing machine and other key equipments and interface relationship between various equipment of different operation scenes were pointed out. …”
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Analysis of a First-Order Delay Model under a History Function with Discontinuity by Weam G. Alharbi

“…The present successful analysis can be used to investigate other delay models with complex initial conditions. …”
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Correction: Historical precipitation and flood damage in Japan: Functional data analysis and evaluation of models. by Atsushi Wakai, Yasuaki Hijioka, Masayuki Yokozawa, Manabu Watanabe, Gen Sakurai

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Functional Identification and Transcriptional Activity Analysis of <i>Dryopteris fragrans HMGR</i> Gene by Meng Sun, Qian Ma, Xueqi Wang, Jialiang Guo, Jiaxuan Wang, Dongrui Zhang, Kirill Tkachenko, Wenzhong Wang, Ying Chang

“…Compared with wild-type controls, the transgenic lines showed enhanced tolerance to drought and heat stress. Promoter analysis identified functional regulatory regions controlling <i>DfHMGR</i> expression, and co-expression network analysis predicted 21 potential transcriptional regulators. …”
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Meta‐analysis of cardiac magnetic resonance in prognosticating left ventricular function in peripartum cardiomyopathy by Hawani Sasmaya Prameswari, William Kamarullah, Raymond Pranata, Iwan Cahyo Santosa Putra, Alberta Claudia Undarsa, Mohammad Iqbal, Triwedya Indra Dewi, Nuraini Yasmin Kusumawardhani, Mohammad Rizki Akbar, Astri Astuti

“…Diagnostic‐test accuracy meta‐analysis revealed that LGE had a sensitivity of 73% (95% CI, 56–85%), specificity of 79% (95% CI, 45–95%), and AUC of 0.78 (95% CI, 0.75–0.82) in predicting poor LV recovery when performed in the later phase, whereas significant myocardial oedema in those with non‐recovered LV function had a sensitivity of 12% (95% CI, 2–52%), specificity of 68% (95% CI, 39–88%), and AUC of 0.40 (95% CI, 0.36–0.44) while undertaken in the latter phase. …”
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