Modeling Impact of Land Use Dynamics on Hydrology and Sedimentation of Megech Dam Watershed, Ethiopia by Abebe Tarko Assfaw

“…Whereas the grassland area has decreased from 11.42% to 5.33%, plantation forest from 1.84% to 0.9%, and bareland from 3.58% to 2.56%. …”
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Conspectus of the genus <i>Juniperus</i> L. growing in Kazakhstan by M. M. Yermagambetova, S. I. Abugalieva, Ye. K. Turuspekov, Sh. S. Almerekova

“…Besides, the continuation of comprehensive botanical and molecular genetic studies on junipers will help to examine and preserve the genetic diversity of the species and conserve forest bioresources.…”
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Molecular detection of piroplasms, Anaplasma, and Ehrlichia species in Kazakhstan by Weixin Zeng, Zhumanov Kairat, Madina Awulibieer, Sansyzbay Abylay, Khizat Serik, Meihua Yang, Yuanzhi Wang, Wurelihazi Hazihan

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Обрядові традиції різдвяно-новорічного циклу: локальні комплекси та їхні ареали на Середньому Поліссі України (за матеріалами картографування)... by Надія Ковальчук

“…The locations of possible burials of suicides to prevent bad weather were identified: intersection, forest, place of suicide, etc. Based on the field materials collected at the beginning of the 21st century, meteorological magical actions performed on the graves of suicides are considered: destruction of graves, pulling out crosses, watering graves with water, etc. …”
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Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data by Conor T. Doherty, Meagan S. Mauter

“…We also compare FDA (which is linear) to nonlinear planting date estimation models based on curve-fitting and random forest (RF) estimators. We find that multivariate FDA models significantly improve on univariate curve-fitting and have comparable performance when using the same univariate inputs despite the linearity of FDA. …”
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Conflict Potential of Free-Roaming Horse Grazing on Timor Deer (Rusa timorensis Blainville 1822) Habitat in Torong Padang Cape Area, East Nusa Tenggara by Kayat Kayat, Satyawan Pudyatmoko, Muchammad Maksum, Muhammad Ali Imron

“…Benth) and valleys with tropical dry forest vegetation. In addition, the timor deer prefer to feed shrubs and foliage (browser), while horses prefer grass (grazer). …”
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Quantum order by disorder is a key to understanding the magnetic phases of BaCo2(AsO4)2 by Sangyun Lee, Shengzhi Zhang, S. M. Thomas, L. Pressley, C. A. Bridges, Eun Sang Choi, Vivien S. Zapf, Stephen M. Winter, Minseong Lee

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Geogenic perspectives on potassium dynamics and plant uptake: insights from natural and submerged conditions across different soil types with machine learning predictions by Saibal Ghosh, Gourav Mondal, Shreya Chakraborty, Sonali Banerjee, Sumit Kumar, Riddhi Basu, Pradip Bhattacharyya

“…Machine learning models, particularly Random Forest, accurately predicted potassium availability and uptake, highlighting their potential in optimizing soil fertility and advancing precision agriculture for better crop yields and soil health.…”
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Classification and Monitoring of Salt Marsh Vegetation in the Yellow River Delta Based on Multi-Source Remote Sensing Data Fusion by Ran Xu, Yanguo Fan, Bowen Fan, Guangyue Feng, Ruotong Li

“…Phenological and polarization features were extracted to capture vegetation characteristics. A random forest algorithm was then applied to evaluate the impact of different feature combinations on classification accuracy. …”
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Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients. by Yulin Lai, Peiyuan Huang

“…<h4>Methods</h4>Machine learning components, including ridge regression, XGBoost, k-nearest neighbor, light gradient boosting machine, logistic regression, support vector machine, neural network, and random forest, were used to construct a predictive model and identify the risk factors for SPMs with data from the Surveillance, Epidemiology and End Results. …”
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Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods by Baddou Nada, Dadda Afaf, Rzine Bouchra, Hmamed Hala

“…In our case study, we began by evaluating the prediction model to confirm the performance of LSTM, comparing it with several machine learning models commonly used in the literature, such as Random Forest, Support Vector Machines (SVM), and GRU. After assessing different loss functions, the LSTM model achieved the strongest prediction accuracy, with an RMSE of 0.07, an MAE of 0.0188, and an R2 of 92.7%. …”
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Bioactive 3D-Shaped Wound Dressings Synthesized from Bacterial Cellulose: Effect on Cell Adhesion of Polyvinyl Alcohol Integrated In Situ by Marlon Osorio, Jorge Velásquez-Cock, Luz Marina Restrepo, Robín Zuluaga, Piedad Gañán, Orlando J. Rojas, Isabel Ortiz-Trujillo, Cristina Castro

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Microstructural Features of Freezing and Thawing-Creep Damages for Concrete Mixed with Fly Ash by Bing Li, Lian-ying Zhang, Ming Li, Hai Pu, Chao Ma, Pei-tao Qiu

“…The microfracture morphology of the concrete was found to include five types of brittle fractures—river, step, cascade, hemispherical, and irregular patterns—and two types of ductile fractures—dimple and peak forest patterns. Two sets of experiments in which (1) the fly ash content (m=35%) was kept constant and the number of freeze-thaw cycles increased, and (2) the number of freeze-thaw cycles (n=120) was kept constant, and the fly ash content was increased were carried out. …”
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A Dynamic Analysis of the Role of the Planetary- and Synoptic-Scale in the Summer of 2010 Blocking Episodes over the European Part of Russia by Anthony R. Lupo, Igor I. Mokhov, Merseid G. Akperov, Alexander V. Chernokulsky, H. Athar

“…The excessive heat resulted in forest and peat fires, impacted terrestrial ecosystems, greatly increased pollution in urban areas, and increased mortality rates in the region. …”
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Morphologic and Chemical Properties of PMMA/ATH Layers with Enhanced Abrasion Resistance Realised by Cold Plasma Spraying at Atmospheric Pressure by L. Wallenhorst, R. Rerich, M. Vovk, S. Dahle, H. Militz, G. Ohms, W. Viöl

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Development and Application of Urban Landslide Vulnerability Assessment Methodology Reflecting Social and Economic Variables by Yoonkyung Park, Ananta Man Singh Pradhan, Ungtae Kim, Yun-Tae Kim, Sangdan Kim

“…The proposed methodology was developed based on the landslide susceptibility maps that Korean Forest Service utilizes to identify landslide source areas. …”
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Spatial Correlation Increase in Single‐Sensor Satellite Data Reveals Loss of Amazon Rainforest Resilience by Lana L. Blaschke, Da Nian, Sebastian Bathiany, Maya Ben‐Yami, Taylor Smith, Chris A. Boulton, Niklas Boers

“…Whilst previous work has suggested that forest resilience has declined in recent decades, that work was based only on local resilience indicators, and moreover was potentially biased by the employed multi‐sensor and optical satellite data and undetected anthropogenic land‐use change. …”
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The Assessment of the Green Development of the Tobacco Industry Using a Multicriteria Method by Giedrė Lapinskiene, Martynas Blazaitis, Dainora Gedvilaite, Neringa Slavinskaite

“…According to the views of experts, the most significant sub-criteria for the green development of the tobacco industry are increasing energy efficiency; safeguarding against hazardous wastewater in the environment; reducing the content of hazardous materials used in products; improving air, land, and water quality where economic activity takes place; sustainable forest management; eco-design, especially for efficient material use, biodegradability, and recyclability; and collaboration with suppliers. …”
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Changes in Ownership and Ulayat Land Use in Lumban Rau Timur Village, Toba Samosir by Hidayat Hidayat, Lukitaningsih Lukitaningsih

“…Communal land includes areas where ceremonies, graves, rice fields, livestock grazing areas, cultivated forests, expansion areas or settlement expansion, waters and forest areas, wild plants are managed and used together. …”
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Utilization of Sanitized Human Excreta and Wood Ash for Establishing Multipurpose <i>Ficus Thonningii</i> Blume in a Degraded Tantalum Technosol by D. Neina

“…Hardwood cuttings of ficus from homesteads in  Western Rwanda were planted in 20.4 × 19 cm diameter pots containing 5 kg forest soil (FS) and 6 kg Technosol. Five treatments including No amendment; HUF alone (100 mL/pot); HUF+WA (100 mL + 60 g/pot); FM (200 g/pot); and FM+WA (200 g + 60 g/pot) were prepared in ten replicates each. …”
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