Synthesis and Production of Sweet-Tasting Protein in E. coli and Purification by Amylose Resin by F. Mansouri

“…MBP-brazzein system permits large-scale functional expression and purification of recombinant soluble proteins, providing a basis for the future study of structure and function of brazzein.…”
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Inference of a plume conduit beneath the Réunion Island from 3D migration of Ps conversions from the mantle transition zone by B. Padma Rao, M. Ravi Kumar

“…In this study, we investigate the mantle transition zone (MTZ) structure beneath the Réunion Island using 3D-migration of P-Receiver functions, to decipher the effect of the plume on the MTZ and its architecture. …”
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Attack traffic allocation and load balancing mechanism for SDN by LI Man, ZHOU Huachun, XU Qi, DENG Shuangxing, ZOU Tao, ZHANG Ruyun

“…The traffic allocation problem was modeled as a Markov decision process (MDP), where the reward function included both resource consumption and delay. …”
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PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm by Naeem Shirmohammady, Habib Izadkhah, Ayaz Isazadeh

“…Any disturbance in proteins interactive network can act as a source for biological disorders and various diseases such as Alzheimer and cancer. …”
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Submillimeter and Mid-infrared Variability of Young Stellar Objects in the M17 H II Region by Zhiwei Chen, Doug Johnstone, Carlos Contreras Peña, Jeong-Eun Lee, Sheng-Yuan Liu, Gregory Herczeg, Steve Mairs, Geumsook Park, Kee-Tae Kim, Mi-Ryang Kim, Keping Qiu, Yao-Te Wang, Xu Zhang, Megan Reiter, The JCMT Transient Team

“…This mid-IR fractional variability as a function of evolutionary stage result is similar to what has previously been found for YSO variability within the Gould Belt and the intermediate-mass star formation region M17 SWex, though overall less variability is detected in M17 in submillimeter and mid-IR. …”
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A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds by Ondřej Santolík, Ivana Kolmašová, Ulrich Taubenschuss, Miroslav Hanzelka, David P. Hartley

“…We also remove all data points which may be contaminated by instrumental noise using a newly developed method to define detection thresholds as a function of frequency, time, and instrument settings. …”
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Current trends in neurocritical care: a comprehensive review by Vinothini Murugaiyan, Kingston Samraj Kirubakaran Jebaraj, Srinivas Kalaiselvan

“…Continuous neuromonitoring using tools like electroencephalogram and intracranial pressure monitoring offers real-time data on brain function, aiding in the early detection of complications. …”
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Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms by Anagha S. Sarma, Rama Rao Nidamanuri

“…Hyperspectral imagery from drones are excellent sources of high-resolution plant-level data that helps in efficient crop identification for smart agriculture practices. …”
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Simultaneous removal and optical determination of mercury ions by constructing fluorescent recombinant T. thermophila SB210 strains by Shu-Hui Zhao, Kai-Kang Hu, Jie Xiong, Jia-Wei Tu, Wei Miao

“…Removing and monitoring Hg2+ ions in the pollution sources based on microorganisms have the advantages of low cost and convenience. …”
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On path length, beam divergence, and retroreflector array size in open-path FTIR spectroscopy by C. E. N. Power, C. E. N. Power, A. Wiacek, A. Wiacek

“…<p>Open-path Fourier transform infrared (OP-FTIR) spectroscopy is an established technique used to measure boundary layer trace gas concentrations, consisting (in this work) of a spectrometer with an active mid-IR source coupled to a single transmitting and receiving telescope, as well as a cube-corner retroreflector array separated from the spectrometer and telescope by an atmospheric path. …”
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LncRNA H19 Promotes Gastric Cancer Metastasis via miR-148-3p/SOX-12 Axis by Xin Zhang, Ge Wang, Xiaoru Li, Yanqing Liu, Xue Wu, Yazhe Zhou, Jie Liu, Haiying Wang, Rui Jiao, Ying Chen, Qiang Wang

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Ferro-aluminosilicate composite generated from coal gasification fine slag for the preconcentration and adsorptive removal of selected artificial sweeteners from water by Xoliswa Cingo, Azile Nqombolo, Buhle Xakalashe, Xolisa Goso, Luthando Nyaba, Odwa Mapazi, Philiswa Nosizo Nomngongo

“…Furthermore, converting CGFS into functional adsorbents aligns seamlessly with the principles of a circular economy, emphasising resource reutilization and sustainability. …”
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Canopy Chlorophyll Content Inversion of Mountainous Heterogeneous Grasslands Based on the Synergy of Ground Hyperspectral and Sentinel-2 Data: A New Vegetation Index Approach by Yi Zheng, Yao Wang, Tayir Aziz, Ali Mamtimin, Yang Li, Yan Liu

“…This study confirms that the synergistic use of multi-source data effectively overcomes the limitations of the spectral–spatial resolution of a single data source, providing a novel methodology for the precision monitoring of mountain ecosystems.…”
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Identification of Genomic Variants and Candidate Genes for Reproductive Traits and Growth Traits in Pishan Red Sheep Using Whole-Genome Resequencing by Maimaitijiang Muhetapa, Mengting Zhu, Aladaer Qi, Sulaiman Yiming

“…Through selective sweep analysis, 92 genomic regions under selection were detected, containing 90 positional candidate genes significantly associated with growth, reproduction, and immune functions. …”
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The barley genome sequence assembly reveals three additional members of the CslF (1,3;1,4)-β-glucan synthase gene family. by Miriam Schreiber, Frank Wright, Katrin MacKenzie, Pete E Hedley, Julian G Schwerdt, Alan Little, Rachel A Burton, Geoffrey B Fincher, David Marshall, Robbie Waugh, Claire Halpin

“…This significant divergence within the gene family might be related to multiple functions of (1,3;1,4)-β-glucans in the Poaceae. Emerging genomic and global expression data for barley and other cereals is a powerful resource for characterising the evolution and dynamics of complete gene families. …”
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Diversity and composition of sponge-associated microbiomes from Korean sponges revealed by full-length 16S rRNA analysis by Myoung-Sook Shin, Inho Yang, Weihong Wang, Hiyoung Kim

“…Our integrative, high-resolution approach not only uncovers remarkable taxonomic and functional diversity, but also provides a valuable genetic resource for future marine natural-product discovery and advances ecological restoration efforts.…”
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Application of Artificial Intelligence in Acute Ischemic Stroke: A Scoping Review by JoonNyung Heo

“…Outcome prediction, the most explored category, includes studies predicting functional outcomes, mortality, and recurrence, often achieving high accuracy and outperforming traditional methods. …”
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Genome-wide association mapping identifies a new arsenate reductase enzyme critical for limiting arsenic accumulation in plants. by Dai-Yin Chao, Yi Chen, Jiugeng Chen, Shulin Shi, Ziru Chen, Chengcheng Wang, John M Danku, Fang-Jie Zhao, David E Salt

“…Complementation verified the identity of HAC1, and expression in Escherichia coli lacking a functional arsenate reductase confirmed the arsenate reductase activity of HAC1. …”
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GWAS and WGCNA analysis uncover candidate genes associated with drought in Brassica juncea L. by Yusong Zhang, Yusong Zhang, Xiaoyan Yuan, Xiaoyan Yuan, Yunyun Zhang, Yunyun Zhang, Yanqing Luo, Yanqing Luo, Kaiqin Zhao, Kaiqin Zhao, Feng Zu, Feng Zu, Zhengshu Tian, Zhengshu Tian, Jinfeng Li, Jinfeng Li, Lifan Zhang, Lifan Zhang, Xiaoying He, Xiaoying He, Jinxiang Gao, Jinxiang Gao, Minglian Fu, Minglian Fu, Genze Li, Genze Li, Feihu Liu

“…To screen drought-tolerant germplasm resources and key functional genes related to drought tolerance in Brassica juncea L.(193 accessions), three treatments were applied at the germination and seedling stages:control(CK), moderate drought stress (M), and severe drought stress (S). …”
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Real-World Efficacy of Explainable Artificial Intelligence using the SAGE Framework and Scenario-Based Design by Eleanor Mill, Wolfgang Garn, Chris Turner

“…The first of its kind, it leverages three distinct but complementary frameworks to support a user-centric and context-sensitive, post-hoc explanation for fraud detection. Using the principles of scenario-based design, it amalgamates two independent real-world sources to establish a realistic card fraud prediction scenario. …”
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