Carbon stocks and sequestration potential in urban reserve forests: Insights for climate change mitigation by Gisandu K. Malunguja, Suniva Aligonza, Ratan Chowdhury, Mhuji B. Kilonzo, Bijay Thakur, Ashalata Devi

“…Monitoring forest carbon stock and sequestration potential is vital for evaluating the role of forestry in Carbon dioxide (CO₂) removal. …”
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Identification of two point mutations associated with inherited antithrombin deficiency by Shiue-Wei Lai, Chia-Yau Chang, Hwei-Jen Lee, Yeu-Chin Chen

“…Methods We analyzed 9 unrelated patients with inherited AT deficiency by extracting peripheral blood DNA and sequencing the SERPINC1 gene after amplification by polymerase chain reaction. …”
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Engineering Saccharomyces boulardii for enhanced surface display capacity by Luping Xu, Xingjian Bai, Deokyeol Jeong, Dahye Lee, Fransheska Semidey, Chenhai Li, Eun Joong Oh

“…To enhance the display efficiency in Sb, we investigated specific modifications to the display cassette, including the use of linker sequences for Aga2 and variations in anchor length for Sed1. …”
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Selective vulnerability of stellate cells to gut dysbiosis: neuroanatomical changes in the medial entorhinal cortex by Ayishal B. Mydeen, Mohammed M. Nakhal, Faheema Nafees, Reem Almazrouei, Rasha Alkamali, Mahra Alsulaimi, Omar Aleissaee, Abdulrahman Alzaabi, Mohamed Alfahim, Hamad Almansoori, Shamsa BaniYas, Shaikha Al Houqani, Marim Elkashlan, Safa Shehab, Mohammad I. K. Hamad

“…Gut microbiota composition was analyzed using 16S rRNA sequencing. Golgi-stained neurons in mECII were assessed for dendritic complexity via Sholl analysis. …”
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Cross-sectional fat fraction analysis of the gluteus medius and minimus muscle in asymptomatic vs. symptomatic hips using 2-point Dixon MRI by Georg Wilhelm Kajdi, Sophia Samira Goller, Patrick Oliver Zingg, Reto Sutter

“…Abstract Background To evaluate cross-sectional fat fractions (FF) of the hip abductors in asymptomatic compared to symptomatic hips in elderly patients using 2-point Dixon MRI, and compare them to the Goutallier classification. …”
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Fabrication and Analysis of Ion-Engineered ZnO Device Structures for Optoelectronic Applications by Fareeha Younus, Ahmed Shuja, Muhammad Ali

“…Furthermore, the energy bands of all implant cases were profiled by Charge Deep Level Transient Spectroscopy (Q-DLTS) measurements by evaluating discrete energy states within the ZnO lattice.…”
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Encrypted traffic classification encoder based on lightweight graph representation by ZhenWei Chen, XiaoXu Wei, YongSheng Wang

“…By converting packet byte sequences into graphs to construct byte-level traffic graphs, we propose building a weighted output applied through a weight matrix to facilitate model lightweighting. …”
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Genomic insights into the probiotic potential and genes linked to gallic acid metabolism in Pediococcus pentosaceus MBBL6 isolated from healthy cow milk. by Md Morshedur Rahman, Naim Siddique, Soharth Hasnat, Md Tanvir Rahman, Mustafizur Rahman, Munirul Alam, Ziban Chandra Das, Tofazzal Islam, M Nazmul Hoque

“…Antimicrobial efficacy was evaluated through in-vitro and in-vivo studies, alongside in-silico exploration for potential mastitis therapy. …”
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The role of MRO as an M2 macrophage-associated gene in non-small cell lung cancer: insights into immune infiltration, prognostic significance, and therapeutic implications by Yue Gu, Miaosen Zheng, Jing Xie

“…Univariate Cox regression and Kaplan–Meier analyses assessed prognostic significance. Single-cell RNA sequencing data from TISCH2 evaluated MRO expression in different cell types. …”
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The Potential Biological Roles and Clinical Significance of Anaphase-Promoting Complex Subunit 1 in Colorectal Cancer by Yi Chen MD, Yu-Xing Tang MD, Da-Tong Zeng MD, Jia-Ying Wen MD, Yan-Ting Zhan MD, Dong-Ming Li MD, Rong-Quan He MD, Zhi-Guang Huang MD, Yu-Zhen Chen MD, Qiu-Yu Wei MD, Gang Chen PhD, Yu-Lu Tang MD, Hui Li MD

“…Materials and methods This study integrated 2329 mRNA expression data, single-cell RNA sequencing (scRNA-seq), and internal immunohistochemistry of 416 tissue samples to comprehensively evaluate the abnormal expression pattern of ANAPC1 in CRC. …”
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Degenerative relationships in lumbar intervertebral discs and facet joints: an MRI-based comparative study of asymptomatic individuals and patients with chronic and intermittent lo... by Hendrik Schmidt, Sandra Reitmaier, Daishui Yang, Georg Duda, Matthias Pumberger

“…The severity of both intervertebral disc and facet joint degeneration in the MRI sequences increased from upper to lower segments, with a significant clear directionality in differences between the uppermost and lowermost levels (p < 0.01). …”
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PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…We present a deep neural network architecture based on a combination of bidirectional recurrent neural networks and convolutional layers that can analyze long-range interactions within protein sequences and predict protein RSA using ESM-2 encoding. …”
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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

“…Abstract Permeability index (PI) and magnesium absorption ratio (MAR) are both primary irrigation water quality indicators (IWQI) used to evaluate the efficacy of agricultural water supplies. …”
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Association between oral microbial diversity (only bacteria) and diabetes in U.S. adults: analysis of NHANES 2009–2012 data by Shu Yang, Shuo Zhang, Qian Cao, Guowei Zhu, Jikai Liu, Guoqing Li, Minmin Zhu

“…Oral samples were collected via mouthwash and analyzed using 16 S rRNA gene sequencing. The Shannon-Wiener Index represented microbial diversity (Only bacteria). …”
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Statistical Distributions of Genome Assemblies Reveal Random Effects in Ancient Viral DNA Reconstructions by Fernando Antoneli, Cristina M. Peter, Marcelo R. S. Briones

“…The spurious alignments of reads to reference sequences (mapping) are a main source of false positives in aDNA assemblies and the assessment of signal-to-noise ratios is essential to differentiate bona fide reconstructions from random, noisy assemblies. …”
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A method for the generation of ectromelia virus (ECTV) recombinants: in vivo analysis of ECTV vCD30 deletion mutants. by Ali Alejo, Margarida Saraiva, Maria Begoña Ruiz-Argüello, Abel Viejo-Borbolla, Mar Fernández de Marco, Francisco Javier Salguero, Antonio Alcami

“…These viruses contain no exogenous marker DNA sequences in their genomes, as opposed to other ECTVs reported up to date.…”
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Molecular detection of bacteria isolated from polluted environment and screening their ability to produce extracellular biopolymer flocculants by Hawraa Qays Al-assdy, Wijdan Hussein Al-Tamimi, Asia Fadhile Almansoory

“…Besides, the Phylogenetic tree was constructed to evaluate their close relationship and evolution between them. …”
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From GenBank to GBIF: Phylogeny-Based Predictive Niche Modeling Tests Accuracy of Taxonomic Identifications in Large Occurrence Data Repositories. by B Eugene Smith, Mark K Johnston, Robert Lücking

“…Here we propose to use verified, georeferenced occurrence data of a given species to apply predictive niche modeling that can then be used to evaluate unverified occurrences of that species. Selecting the charismatic lichen fungus, Usnea longissima, as a case study, we used georeferenced occurrence records based on sequenced specimens to model its predicted niche. …”
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Effects of hypoxia stress on the milk synthesis in bovine mammary epithelial cells by Yanshan Jin, Zhuolin Liu, Ziyan Yang, Lizhu Fang, Feng-Qi Zhao, Hongyun Liu

“…Methods BMECs were cultured in a normoxic environment and then transferred to a hypoxia chamber with 1% O2 for specified durations. The study evaluated cellular responses through various molecular experiments and RNA sequencing. …”
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Medium- Long-Term Runoff Forecasting Using Interpretable Hybrid Machine Learning Model for Data-Scarce Regions by YOU Yu-jun, BAI Yun-gang, LU Zhen-lin, ZHANG Jiang-hui, CAO Biao, LI Wen-zhong, YU Qi-ying

“…[Objectives] This study aims to analyze the applicability of existing precipitation, temperature, and runoff data in data-scarce regions, and to develop and evaluate a deep learning hybrid model driven by multi-source information for improving the accuracy of monthly runoff forecasting. …”
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