Comparative transcriptomics reveal stage-dependent parasitic adaptations in the myxozoan Sphaerospora molnari by Monika M. Wiśniewska, Jiří Kyslík, Gema Alama-Bermejo, Alena Lövy, Martin Kolísko, Astrid S. Holzer, Anush Kosakyan

“…Abstract Background Parasitism as a life strategy has independently evolved multiple times within the eukaryotic tree of life. Each lineage has developed mechanisms to invade hosts, exploit resources, and ensure replication, but our knowledge of survival mechanisms in many parasitic taxa remain extremely limited. …”
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Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images by Zhaojiang Yan, Chong Fang, Kaishan Song, Xiangyu Wang, Zhidan Wen, Yingxin Shang, Hui Tao, Yunfeng Lyu

“…This study compared and evaluated 6 commonly used machine learning models, including extreme gradient boosting (XGBoost), support vector regression (SVR), backpropagation neural network (BP), gradient boosting decision tree (GBDT), random forest (RF), and categorical boosting (CatBoost). …”
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Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

“…This classification was performed using machine learning (ML) algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), Decision Tree (DT), Random Forests (RF), and Extreme Gradient Boosting (XGBoost). …”
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Optimal selection of satellite XCO₂ images for urban CO₂ emission monitoring by A. Danjou, G. Broquet, A. Schuh, F.-M. Bréon, T. Lauvaux, T. Lauvaux

“…It uses synthetic data experiments with synthetic truth and 9920 synthetic satellite images of XCO<span class="inline-formula">₂</span> over 31 of the largest cities across the world generated with a global adaptive-mesh model, the Ocean–Land–Atmosphere Model (OLAM), zoomed in at high resolution over these cities. We use a decision tree learning method applied to this ensemble of synthetic images to define criteria based on these emission and atmospheric conditions for the selection of suitable satellite images.…”
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Air pollution Dynamics: The role of meteorological factors in PM10 concentration patterns across urban areas by Carolina Girotti, Luiz Fernando Kowalski, Tiago Silva, Ezequiel Correia, Alessandra R. Prata Shimomura, Fernando Akira Kurokawa, António Lopes

“…The Factorial Analysis of Mixed Data method identified qualitative variables linked to the seasons, wind direction, and presence of trees. PM10 levels below the were associated with the summer and autumn period, parallel winds, and street trees, while levels above the limit were linked to winter period and areas without street trees. …”
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Five-Year Predictors of Insulin Initiation in People with Type 2 Diabetes under Real-Life Conditions by Sandro Gentile, Felice Strollo, Francesca Viazzi, Giuseppina Russo, Pamela Piscitelli, Antonio Ceriello, Carlo Giorda, Piero Guida, Paola Fioretto, Roberto Pontremoli, Salvatore De Cosmo, the AMD-Annals Study Group

“…LDL-C, lipid-lowering treatment, and overweight/obese seem to be protective. Results of tree analysis showed that patients on sulphonylurea, with high HbA1c, eGFR below 50 ml/min/1.73 m2, and at least 5-year disease duration, are at very high risk to start insulin treatment. …”
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Evaluating cutinase from Fusarium oxysporum as a biocatalyst for the degradation of nine synthetic polymer by Maycon Vinicius Damasceno de Oliveira, Gabriel Calandrini, Clauber Henrique Souza da Costa, Carlos Gabriel da Silva de Souza, Cláudio Nahum Alves, José Rogério A. Silva, Anderson H. Lima, Jerônimo Lameira

“…Additionally, analysis of the phylogenetic tree of cutinases produced by different organisms demonstrated that even though the organisms belong to different kingdoms, the cutinase from F. oxysporum (FoCut) showed biological similarity in its activity in degrading polymers with the cutinase enzyme from the bacterium Kineococcus radiotolerans and the fungus Moniliophthora roreri. …”
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Identification of dominant species of submerged vegetation based on Sentinel-2 red-edge band: A case study of Lake Erhai, China by Xiaohan Wang, Yu Zhang, Yanhong Yu, Yunmei Li, Heng Lyu, Junda Li, Xiaolan Cai, Xianzhang Dong, Gaolun Wang, Jianzhong Li, Mengmeng Song, Lanlan Chen

“…Using the disparities in the red-edge band, red-edge chlorophyll index (CIedge), and red-edge normalized vegetation index (NDVIedge), a carefully designed decision tree model was instituted for remote sensing-driven identification of SAV. …”
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Productivity and ecological functions of naturally regrown pine forests of the Ukrainian Polissia by Petro Lakyda, Volodymyr Blyshchyk

“…The main forest-forming tree species found in these naturally regrown forests on agricultural lands is Scots pine, which became the object of the study. …”
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Mortality Prediction Using SaO2/FiO2 Ratio Based on eICU Database Analysis by Sharad Patel, Gurkeerat Singh, Samson Zarbiv, Kia Ghiassi, Jean-Sebastien Rachoin

“…We used a gradient boosting decision tree algorithm variant called XGBoost as our model. …”
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Quantification of ecosystem services from mangrove silvofishery by E. Sumarga, D. Rosleine, G.B. Hutajulu, R.P. Plaurint, Tsabita ., M. Basyuni, S.H. Larekeng, M.F. Taqiyudin, N.N. Shohihah, H. Ali

“…During the vegetation survey, data regarding the types of mangrove plants and the diameter of each tree at breast height was gathered. To quantify fisheries production, interviews were conducted with area managers and pond farmers who are engaged in silvofishery practices within the region. …”
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Species Distribution Model and Conservation of Mentaok (Wrightia javanica) in Indonesia by Sutomo, Nida Humaida, Luthfi Wahab, Muhammad Hadi Saputra, Fitri Kurniawati, Muhammad Bima Atmaja, Eko Pujiono, Jalma Giring Sukmawati, Aditya Hani, Rajif Iryadi, Wieke Herningtyas, Reni Setyo Wahyuningtyas

“… The Alas Mentaok was a forest dominated by the mentaok tree (Wrightia javanica) that once existed in Yogyakarta, Java Island, Indonesia. …”
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Comparative analysis of chloroplast genomes reveals molecular evolution and phylogenetic relationships within the Papilionoideae of Fabaceae by Qian Qin, Yanjing Dong, Jialong Chen, Bo Wang, Yuxin Peng, XinPeng Zhang, Xiaoyun Wang, Jinxiang Zeng, Guoyue Zhong, Shouwen Zhang, Xiaolang Du

“…The topological structure of the constructed phylogenetic tree of 85 species was basically consistent with that of Pap.. …”
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Modelling the health, financial protection and equity impacts of upscaling the ACT NOW early intervention breast cancer pilot program in the Philippines: an extended cost-effective... by Blake Angell, Stephen Jan, Mark Woodward, Sanne Peters, Merel Kimman, Alexander Chye, Nirmala Bhoo Pathy, Herdee Gloriane C Luna, Soledad B Lim, Helen Monaghan, Corazon A Ngelangel

“…This study aims to model the health and economic impacts of ACT NOW (a pilot breast cancer programme that navigates women through free early detection to treatment) through an extended cost-effectiveness analysis.Methods A microsimulation decision tree model was used to model the ACT NOW intervention (including annual clinical breast examination (CBE) and biannual breast ultrasound for women at high risk of breast cancer) over 5 years for healthy women 40–69 years old. …”
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The trend of phylogenetic and epitope variations of SARS-CoV-2 Omicron sub-lineages in Iran by Mehdi Shabani, Ahmad Nejati, Jila Yavarian, Jila Yavarian, Kaveh Sadeghi, Sevrin Zadheidar, Akram Sadat Ahmadi, Monire Ghadirali, Arghavan Zebardast, Adel Abedi, Mohammad Hossein Najmi, Nazanin-Zahra Shafiei-Jandaghi, Talat Mokhtari-Azad

“…The present study evaluated and compared these important variations among different Omicron sub-lineages in Iran.MethodologyFrom October 2023 to August 2024, high coverage whole genome sequences of 49 SARS-CoV-2 strains were subjected to phylogenetic analysis and evaluation of B cell, CD4+, and CD8+ T cell epitopes in Iran National Influenza Centre.ResultsThe phylogenetic tree exhibited eight Nextstrain clades (21L, 22F, 23B, 23H, 23D, 24A, 24B, and 24C) in 48 studied strains, and one recombinant strain (XDK.1). …”
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Shifts in the rhizosphere microbiome and exudation profile of avocado (Persea americana Mill.) during infection by Phytophthora cinnamomi and in presence of a biocontrol bacterial... by Frédérique Reverchon, Mariel García-Meléndez, Edgar Guevara-Avendaño, Oscar Mora-Chávez, Itzel A. Solís-García, Wesley Dáttilo, José A. Guererro-Analco, Alfonso Méndez-Bravo, Juan L. Monribot-Villanueva, Violeta Patiño-Conde, Fernando Pineda-García, Eria A. Rebollar

“…Dataset presentation Here, we present a novel dataset collected from a time-course experiment with four treatments: (1) control trees; (2) trees infected with P. cinnamomi; (3) trees inoculated with the BCA; (4) trees infected with P. cinnamomi and inoculated with the BCA. …”
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Composition of antifungal volatile organic compounds in Sextonia rubra fruit by molecular networks by Levasseur, Marceau, Santerre, Cyrille, Segret, Juliette, Elie, Nicolas, Genty, Christophe, Estevez, Yannick, Amusant, Nadine, Houël, Emeline, Eparvier, Véronique, Touboul, David

“…Sextonia rubra is a tropical tree exploited for its durable wood. Hydrodistillation of its fruit was performed for the first time and the resulting hydrolate was analyzed by headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) together with the dried fruit. …”
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Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients by Duo Shen, Ling Sha, Ling Yang, Xuefeng Gu

“…Eight machine learning techniques were employed to construct predictive models, including C5.0, linear discriminant analysis (LDA), least absolute shrinkage and selection operator (LASSO), k-nearest neighbour (KNN), gradient boosting decision tree (GBDT), support vector machine (SVM), generalised linear model (GLM) and naive Bayes (NB), utilising variables such as medical history, demographics, clinical signs, and laboratory test results. …”
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Modeling regional aboveground carbon stock dynamics affected by land use and land cover changes by A.D. Malik, M.C.W. Arief, S. Withaningsih, P. Parikesit

“…Land use and land cover changes were assessed from remotely sensed imagery data recorded in 2009 and 2021 using the maximum likelihood classification method in the geographic information as a collection of layers and other elements in a map 10.6 package. Tree height and diameter were collected within the purposively distributed plots with a size of 30 × 30 square meters. …”
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Genome-Wide Comprehensive Identification and In Silico Characterization of Lectin Receptor-Like Kinase Gene Family in Barley (Hordeum vulgare L.) by Fee Faysal Ahmed, Farah Sumaiya Dola, Md Shohel Ul Islam, Fatema Tuz Zohra, Nasrin Akter, Shaikh Mizanur Rahman, Md. Abdur Rauf Sarkar

“…Based on the phylogenetic tree and domain organization, a total of 113 LecRLK genes were identified in the barley genome (referred to as HvlecRLK) corresponding to the LecRLK genes of Arabidopsis thaliana. …”
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