A study on the classification of coastal wetland vegetation based on the Suaeda salsa index and its phenological characteristics by Weicheng Huang, Xianyun Fei, Weiwei Yang, Zhen Wang, Yajun Gao, Hong Yan

“…The four phenological metrics were combined with spectral and textural features to classify the vegetation using the random forest (RF) algorithm. In order to demonstrate the efficacy of the constructed vegetation indices, this study employed both the NDVI and the existing Suaeda salsa Vegetation Index (SSVI) to calculate the phenological metrics for classification purposes. …”
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Effects of Different Vegetation Restoration Measures on the Disintegration Characteristics of Eroded Degraded Land of Pinus massoniana in Red Soil Region by XI Jie, WU Zehua, LIN Qiang, WU Jieling, ZHANG Liu, ZHOU Shiqi, ZHOU Qin, SUN Lili, ZHA Xuan

“…This measure is more effective for soil and water loss control in severely degraded P. massoniana forest in granite red soil area. Soil geometric mean diameter (GMD) is a direct control factor affecting soil disintegration characteristics, and can be used as a preferred index to evaluate soil disintegration characteristics.…”
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A Program for Master of Science in Environment and Natural Resources (MENR) by Kabale University

“…It states, “We are determined to end poverty and hunger, in all their forms and dimensions, and to ensure that all human beings can fulfil their potential in dignity and equality and in a healthy environment and determined to protect the planet from degradation, including through sustainable consumption and production, sustainably managing its natural resources and taking urgent action on climate change, so that it can support the need of the present and future generations” Goal 15 is to protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss. …”
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Bacterial profiling of mask waste from terrestrial and marine environment by A. Rakhmawati, B. Octavia, S. Marwati, D. Kristanti

“…The objective of this research was to identify, choose, and analyze the bacteria present in discarded face masks at landfill sites (Piyungan, Yogyakarta and Jatibarang, Semarang), coastal areas (Tanjung Pasir, Tangerang, and Marina, Semarang), as well as mangrove forests (Teluk Naga, Tangerang, and Tirang, Semarang) situated in Java, Indonesia.METHODS: The bacterial isolation was performed using minimal salt medium. …”
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Topic modelling of the wetland condition assessment literature reveals trends, key gaps, and opportunities for combining different assessment techniques by Kaline de Mello, Osmar Luiz, Erica A. Garcia, Anna E. Richards

“…In contrast, topics like ‘biological and ecological integrity’, ‘forested wetlands’, and ‘wetland boundary delineation’ showed declining prominence over time, indicating a potential shift in research focus. …”
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Effect of K-N-Humates on Dry Matter Production and Nutrient Use Efficiency of Maize in Sarawak, Malaysia by Auldry Chaddy Petrus, Osumanu Haruna Ahmed, Ab Majid Nik Muhamad, Hassan Mohammad Nasir, Make Jiwan

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Potencialidad de especies y procedencias de Cedrela para el establecimiento de plantaciones sustentables en diferentes ambientes del Noroeste Argentino by J. GRIGNOLA, M. ACRECHE, J. DI RIENZO, M. GATTO, L. FORNES

“…Los resultados resaltan la importancia de considerar el origen de las semillas al momento de realizar un emprendimiento forestal con estas especies. El material remanente en cada sitio y que logró el mayor desarrollo tiene mucho valor y servirá de fuente para continuar el programa de domesticación con fines productivos y de rescate del material genético con fines de conservación.…”
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Exploring the Prevalence and Components of Metabolic Syndrome in Sub-Saharan African Type 2 Diabetes Mellitus Patients: A Systematic Review and Meta-Analysis by Nelson Musilanga, Hussein Nasib, Given Jackson, Frank Shayo, Clarkson Nhanga, Saleh Girukwigomba, Ambokile Mwakibolwa, Samson Henry, Keneth Kijusya, Edgar Msonge

“…The summary estimates were presented with forest plots and tables. Publication bias was checked with the funnel plot and Egger’s regression test. …”
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The association of origin and environmental conditions with performance in professional IRONMAN triathletes by Beat Knechtle, Mabliny Thuany, David Valero, Elias Villiger, Pantelis T. Nikolaidis, Marilia S. Andrade, Ivan Cuk, Thomas Rosemann, Katja Weiss

“…Three different ML models were built and evaluated, based on three algorithms, in order of growing complexity and predictive power: Decision Tree Regressor, Random Forest Regressor, and XG Boost Regressor. Most of the athletes originated from the USA (1786), followed by athletes from Germany (674), Canada (426), Australia (396), United Kingdom (342), France (325), and Switzerland (276). …”
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Conservation in action: Cost-effective UAVs and real-time detection of the globally threatened swamp deer (Rucervus duvaucelii) by Ravindra Nath Tripathi, Karan Agarwal, Vikas Tripathi, Ruchi Badola, Syed Ainul Hussain

“…This study exemplifies how combining UAVs with deep learning can facilitate species monitoring and population count estimation and be adopted by forest managers to support conservation decisions.…”
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Long-acting family planning uptake and associated factors among women in the reproductive age group in East Africa: multilevel analysis by Ermias Bekele Enyew, Abiyu Abadi Tareke, Habtamu Setegn Ngusie, Mulugeta Desalegn Kasaye, Shimels Derso Kebede, Mahider Shimelis Feyisa

“…The pooled prevalence of long-acting contraceptive uptake with a 95% confidence interval (CI) was reported and presented in a forest plot for East African countries using STATA version 14.1. …”
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Capital formation and production of carbon emissions in low-carbon development by E.S. Siregar, S.U. Sentosa, A. Satrianto

“…Low carbon development is a new platform to maintain economic growth through reducing carbon emissions and reducing the use of natural resources, because it was predicted that reducing emissions will increase economic growth while preventing forest loss, improving air quality and living standards, and reducing mortality rates.METHODS: Utilizing a quantitative method, this study integrates a novel viewpoint by combining low-carbon development with related emission factors. …”
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Contenidos de nitrógeno y fósforo del suelo ante un cambio de cobertura y condición topográfica by S.I. Besteiro, A.I.B. Descalzo

“…Los resultados obtenidos revelan que los contenidos de fósforo disponible se vieron afectados de forma significativa por los cambios de cobertura del suelo (p-value< 4,00e-06) y la condición topográfica (p-value< 2,55e-06), de modo tal que los mayores contenidos de este nutriente se encuentran en bajas situaciones y cobertura forestal. En cambio, los contenidos de nitrógeno total respondieron únicamente a un cambio de la cobertura (p-value< 1,01e-05), hallándose en mayor proporción bajo las forestaciones. …”
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Accumulation Characteristics and Hydrological Effects of Litter in Mixed Robinia pseudoacacia Plantations by CAO Zetao, DENG Yangxu, TIAN Jing, WANG Bing, LIU Guobin, YANG Yanfen

“…[Objective] Studying the accumulation characteristics and hydrological effects of typical mixed Robinia pseudoacacia plantations is crucial for deeply investigating the water conservation capacity of artificial forests on the Loess Plateau. [Methods] This study focused on five different mixed planting patterns of Robinia pseudoacacia in the loess hilly region, including R. pseudoacacia × Hippophae rhamnoides, R. pseudoacacia × Amorpha fruticosa, R. pseudoacacia × Pinus tabuliformis, R. pseudoacacia × Prunus davidiana, and R. pseudoacacia × Prunus sibirica, with pure R. pseudoacacia plantations serving as a control for comparative analysis. …”
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Adaptability of spring oat yield in the environments of the Near-Irtysh area in Omsk Province by P. N. Nikolaev, N. I. Aniskov, O. A. Yusova, I. V. Safonova

“…The experimental part of the work was carried out in 2011–2017 on the experimental fields of Omsk Agrarian Scientific Center located in the southern forest-steppe area. Agricultural practice used in the experiments was conventional for West Siberia. …”
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Identification and validation of respiratory subphenotypes in patients with COVID-19 acute respiratory distress syndrome undergoing prone position by Mônica R. da Cruz, Pedro Azambuja, Kátia S. C. Torres, Fernanda Lima-Setta, André M. Japiassú, Denise M. Medeiros

“…A K-means clustering implementation designed for joint trajectory analysis was utilized for the unsupervised classification of the development cohort. A random forest model was trained on the labeled development cohort and used to validate the subphenotypes in the validation cohort. …”
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Genome-wide identification of short-chain dehydrogenases/reductases genes and functional characterization of ApSDR53C2 in melanin biosynthesis in Arthrinium phaeospermum by Jiao Liao, Yisi Wang, Han Liu, Sijia Liu, Peng Yan, Hang Chen, Shujiang Li, Shujiang Li

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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…Machine learning classifiers, including support vector machine, random forest, adaptive boosting, and k-nearest neighbors, were trained using weak supervision and minority oversampling to handle sparse and imbalanced pain labels. …”
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Engineering of SauriCas9 with enhanced specificity by Xiaoqi Zhang, Chen Tao, Miaomiao Li, Sufang Zhang, Puping Liang, Yan Huang, Huihui Liu, Yongming Wang

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Characteristics of Land Use Change and Evaluation of Ecological Sensitivity in Chongqing by XIE Xianjian, GOU Qiantao, WU Han

“…There had been a significant reduction in both cropland and grassland, while the areas of forest land and urban-rural construction land had increased markedly from 2000 to 2020. (2) Over the course of 20 years, the average value of the comprehensive ecological sensitivity index rose from 1.037 to 1.045, indicating an overall improvement in the ecological environment of the study area. …”
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