Real-world cost-effectiveness of nirmatrelvir-ritonavir as treatment for SARS-CoV-2 infection in the Belgian setting with omicron variant by Sophie Marbaix, Sophie Marbaix, Steven Simoens, Philippe Clevenbergh, Pascal Van Bleyenbergh, Keliane Liberman, Dimitri Dehenau

“…This paper aims to assess the cost-effectiveness of nirmatrelvir-ritonavir in Belgium using real-world evidence.MethodsA static decision tree model was developed to capture the health progression of patients infected with the SARS-CoV-2 virus. …”
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The effects of meteorological drought on oak forest dieback in Ilam province by shamsallah Asgari, tayeb razi, Mohamadreza Jafari, Ali Akbar noroozi

“…Additionally, remote sensing data from MODIS images were employed to examine the trend in tree greenness (NDVI) from 2000 to 2016. The analysis reveals a significant correlation (R2 = 0.9999) between the greenness trend and the drought index (SPI). …”
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Gum and Resin Production and Marketing: Implications for Pastoral Livelihood in Adadle District, Somali Region, Ethiopia by Bishar Ahmed Yussuf, Latamo Lameso Lelamo, Mahamud Mahamed Abdi

“…The study discovered many Acacia, Boswellia, and Commiphora tree species that are employed in the production of gum and resin. …”
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Exploration of analgesic and anthelmintic activities of Artocarpus chaplasha ROXB. leaves supported by in silico molecular docking by S M Sohag, Sharmin Nur Toma, Md. Niaj Morshed, Md. Al Imran Imon, Md. Monirul Islam, Md. Ibnul Piash, Naznin Shahria, Imran Mahmud

“…Aartocarpus chaplasha is a medicinal tree native to tropical regions, valued for its diverse therapeutic properties and bioactive compounds found in its leaves, bark, and fruit. …”
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Rootstocks for Florida Stone Fruit by Ali Sarkhosh, Mercy Olmstead, Jose Chaparro, Thomas Beckman

“… Rootstocks have been used in many tree fruit systems to provide growth advantages and/or pest and disease resistance without affecting (or sometimes improving) productivity and fruit quality. …”
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Museomics of Carabus giant ground beetles shows an Oligocene origin and in situ alpine diversification by Pauli, Marie T., Gauthier, Jérémy, Labédan, Marjorie, Blanc, Mickael, Bilat, Julia, Toussaint, Emmanuel F. A.

“…We successfully generated a genomic dataset of up to 1965 HyRAD-X loci for all described species, permitting inference of a robust dated phylogenomic tree for this clade. Our species delimitation and population genomic analyses suggest that the current classification for Arcifera is in line with its evolutionary history. …”
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Ongoing measles outbreak in Romania: Clinical investigation and molecular epidemiology performed on whole genome sequences. by Robert Hohan, Marius Surleac, Victor Daniel Miron, Andreea Tudor, Ana-Maria Tudor, Oana Săndulescu, Ovidiu Vlaicu, Victoria Aramă, Daniela Pițigoi, Adriana Hristea, Anca Cristina Drăgănescu, Dimitrios Paraskevis, Leontina Bănică, Dan Oțelea, Simona Paraschiv

“…WGS was done on Illumina MiSeq platform and phylogenetic analysis was performed with ML FastTree.<h4>Results</h4>No significant epidemiological and clinical differences between patients in the two age groups were identified. …”
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The mexican potato species Solanum neoantipoviczii BUK. (= S. stoloniferum Schlechtd.) from the taxonomic series Longipedicellata BUK. and its use in interspecific hybridization by N. M. Zoteyeva, Yu. Tarwacka

“…VIR k-8505 was found to be highly resistant to Phytophthora infestans and to tree strains of Potato Virus Y (PVY) conferring resistance through the gene Rysto. …”
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Analysis of genetic relationships in the breeding material of <i>Prunus armeniaca</i> L. from the collection of the Mountain Botanical Garden, Dagestan by D. M. Anatov, I. I. Suprun, I. V. Stepanov, R. M. Osmanov, S. V. Tokmakov

“…Dagestan boasts a long tradition of apricot cultivation that resulted in a unique gene pool of this fruit tree. However, the potential of local apricot cultivars for breeding still remains poorly investigated. …”
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Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms by Huseyin Kunt, Zeki Yetgin, Furkan Gozukara, Turgay Celik

“…Fourier and wavelet transforms are used to extract features and the performances of various machine learning algorithms, namely Decision Tree, Random-Forest, K-Nearest Neighbors, Support Vector Machine, Artificial Neural Networks, and SubSpace KNN, are comparatively studied. …”
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Cacao floral traits are shaped by the interaction of flower position with genotype by Seunghyun Lim, Insuck Baek, Seok Min Hong, Yoonjung Lee, Silvas Kirubakaran, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Ahn

“…We measured flower size (lateral area, length, width, and perimeter), shape, and abundance at different developmental stages and vertical tree heights. Significant variations were observed between genotypes and across vertical positions, highlighting the roles of genetic and environmental factors in cacao reproductive biology. …”
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Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate by Jean-Marc Hero, Luke Shoo, Michael Duncan, Darren Roche, Jesse Kenny, Howard Taylor, Tim Robson, Sanjeev Kumar Srivastava, Josh Veitch-Michaelis

“…Unassisted, weeds can persist for decades, and intervention (ANR) is required for the recovery of native vegetation. CNR (tree-planting) provides canopy cover, however, lacks species diversity in the shrub layer. …”
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Meaningful Engagement as a Cornerstone for Implementing the Key Recommendations to Advance the Sexual and Reproductive Health and Rights of Women Living With HIV Across Policy, Pra... by Zoë Osborne MPH, Muluba Habanyama, Brittany Cameron, Alexandra de Pokomandy MD, MSc, Brenda Gagnier, Elizabeth King MD, Jill Koebel MPH, Mona Loutfy MD, MPH, Carrie Martin BA, BSW, Renée Masching MSW, Manjulaa Narasimhan PhD, Valerie Nicholson, Neora Pick MD, Stephanie Smith, Shelly Tognazzini BA, Wangari Tharao PhD, Angela Kaida PhD

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Targeting AI-2 quorum sensing: harnessing natural products against Streptococcus suis biofilm infection by Shuji Gao, Shuo Yuan, Yingying Quan, Wenjie Jin, Yamin Shen, Rishun Li, Baobao Liu, Yuxin Wang, Li Yi, Shaohui Wang, Xiaogai Hou, Yang Wang

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Challenges of in vitro conservation of Сitrus germplasm resources by V. M. Gorshkov, L. S. Samarina, R. V. Kulyan, V. I. Malyarovskaya, A. V. Ryndin, R. S. Rakhmangulov, Y. L. Orlov

“…The main problems of establishment a slow growth in vitro collection of citrus and other tree crops cultivars are high degree of fungal contamination of bud explants and low growth potential of shoots. …”
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Genetic diversity of wild stone fruit species: specific aspects of <i>ex situ</i> conservation by G. V. Eremin, V. G. Eremin, I. S. Chepinoga, T. A. Gasanova

“…It takes into account biological characteristics of genotypes shaped in natural areas, the use of own-root or grafted plants on clonal rootstocks of various growth rates depending on their life form (tree or shrub), resistance to biotic and abiotic stressors, soil and terrain requirements, and the tasks posed before researchers. …”
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Determination of total phenolic and flavonoid contents, antioxidant and antibacterial potential of the bark extracts of Syzygium guineense (Wild.) DC. by Engeda Dessalegn, Mengisteab Mathewos, Hiwot Gebremeskel, Nigatu Tuasha

“…DC. is a wild indigenous tree widely used as a traditional medicine for various human ailments in Ethiopia. …”
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High-quality DNA extraction for Desmodium gangeticum: A medicinal shrub of Shivalik Himalayas by Shiwani Singh, Maneesh S. Bhandari, Neeraj Dwivedi

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Genome-wide identification of HbVQ proteins and their interaction with HbWRKY14 to regulate the expression of HbSRPP in Hevea brasiliensis by Jiahong Zhu, Long Qu, Liwang Zeng, Ying Wang, Huiliang Li, Shiqing Peng, Dong Guo

“…However, information on the VQ gene family in rubber tree (Hevea brasiliensis Muell. Arg.) is limited. …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…The SBFS technique generated all possible combinations of protein groups from the 146 proteins, which were then trained and tested using five machine learning models: Decision Tree, Random Forest, Extremely Randomized Trees, Extreme Gradient Boosting, and Adaptive Boosting. …”
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