Black Turpentine Beetle, Dendroctonus terebrans (Olivier) (Insecta: Coleoptera: Curculionidae: Scolytinae) by Albert E. Mayfield, Jiri Hulcr, John L. Foltz

“…Adults are strongly attracted to volatile pine odors and readily breed in fresh stumps. In typical forests, infestations do not exhibit the rapid and devastating expansion characteristic of the closely related southern pine beetle, but in stands where stress conditions are frequent or persistent, black turpentine beetle can become a chronic pest and cause significant mortality over an extended period of time. …”
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Worker Protection Standard: Additional Requirements for Agricultural Employers of Workers by Frederick M. Fishel

“…This regulation is primarily intended to reduce the risks of illness or injury to workers and handlers resulting from occupational exposures to pesticides used in the production of agricultural plants on agricultural establishments (i.e., farms, forests, nurseries and enclosed space production facilities, such as greenhouses). …”
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Palmeras utilizadas por los indígenas Yuracaré del Territorio Indígena Parque Nacional Isiboro-Sécure (Cochabamba, Bolivia) by Fabiola Montoya M., Mónica Moraes R.

“…The Yuracaré ethnic group lives depending on palm products and shows a close relationship with the surrounding forests where they are settled.…”
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Black Turpentine Beetle, Dendroctonus terebrans (Olivier) (Insecta: Coleoptera: Curculionidae: Scolytinae) by Albert E. Mayfield, Jiri Hulcr, John L. Foltz

“…Adults are strongly attracted to volatile pine odors and readily breed in fresh stumps. In typical forests, infestations do not exhibit the rapid and devastating expansion characteristic of the closely related southern pine beetle, but in stands where stress conditions are frequent or persistent, black turpentine beetle can become a chronic pest and cause significant mortality over an extended period of time. …”
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Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia. by Dyah Aryani Perwitasari, Imaniar Noor Faridah, Haafizah Dania, Didik Setiawan, Triantoro Safaria

“…The Neural Network and Random Forests were the most suitable models to predict tuberculosis patients' adherence with good Area Under The Curve (AUC).…”
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Analyzing the effects of Khorramabad - Zal bridge highway construction on rural development Eastern Miankoh villages by Mehrshad tolabinejad, Hossein farahani

“…The amount of demolition of water resources such as springs and water channeling have been increased in the rural boundary. and also pastures‚ forests and fertile lands have been allocated to the building constructions and forming dimension with amount of (0/058) has the least overall effect on the rural stable development in the boundary of studying area.…”
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Enhancing Rehabilitation Assessment with Artificial Intelligence: A Comprehensive Investigation of Posture Quality Prediction Using Machine Learning by Zhang Wenxi

“…AI techniques, including Support Vector Machines (SVM), decision trees, random forests, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), show great potential in improving the accuracy and personalization of rehabilitation assessment. …”
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Population structure of Clinostomum complanatum (Trematoda: Digenea) with new data on haplotype diversity of flukes from Slovakia and Italy by Juhásová Ľudmila, Bazsalovicsová Eva Čisovská, Caffara Monica, Radačovská Alžbeta, Gustinelli Andrea, Dinisová Lucia, Syrota Yaroslav, Králová-Hromadová Ivica

“…The aim of this study was to determine the structure, intraspecific variability, and diversity of mitochondrial cox1 haplotypes of C. complanatum from different localities in Slovakia (Danube floodplain forests) and Italy (Emilia-Romagna and Tuscany), as well as to evaluate the interrelationships among populations from Europe, the Middle East, and North Africa. …”
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One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level by Ercan Avşar, Waleed Mahmood

“…The utilized machine learning methods are multilayer perception (MLP), Support Vector Regression (SVM), k-Nearest Neighbor (K-NN), Random Forests (RF), Gradient Boosting (GB), and Elastic Net (EN). …”
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Inclined Aerial Image and Satellite Image Matching Based on Edge Curve Direction Angle Features by Hao Wang, Chongyang Liu, Yalin Ding, Chao Sun, Guoqin Yuan, Hongwen Zhang

“…Experiments run on a variety of remote sensing datasets including forests, hills, farmland, and lake scenes demonstrate that the effectiveness of the proposed algorithm shows a great improvement over existing state-of-the-art algorithms.…”
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Sounds of the northern Andes: the calls of a diverse and endangered frog community (Amphibia, Anura) from Ecuador by Diego Batallas, Rafael Márquez, Juan M. Guayasamin

“…Between 2016 and 2021, a total of 14 expeditions were conducted to the forests and moorlands of the eastern and western Andean Mountain range of the province of Carchi-Ecuador, at elevations ranging from 2694 to 3848 m a.s.l. …”
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Molluscs (Gastropoda and Bivalvia) of the upper Neretva River by Michael Duda, Elisabeth Haring

“…The majority of the species were terrestrial gastropods (45 out of 51), most of them common species of forests and moist areas, but also of grassland. In the Neretva River itself and in adjacent waterbodies, six species of freshwater molluscs were found. …”
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Estimation of Continental-Basin-Scale Sublimation in the Lena River Basin, Siberia by Kazuyoshi Suzuki, Glen E. Liston, Koji Matsuo

“…We found that the ratio of sublimation to snowfall in forests was around 26% and that interannual variation of sublimation modulated spring river runoff.…”
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Análisis de los eventos deportivos realizados en entornos naturales: el caso de los parques y reservas nacionales de Chile by Maira Ulloa-Hernández, Frano Giakoni-Ramírez, Juan A. Sánchez-Sáez, Daniel Duclos-Bastías

“…A partir de la información obtenida de la Corporación Nacional Forestal, complementada con la búsqueda de datos secundarios adicionales. …”
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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning by Ahmad Aldelemy, Raed A. Abd-Alhameed

“…Our methodology includes data analysis, transformation, training, and testing machine learning classifiers such as Naïve Bayes, Decision Trees, Random Forests, Support Vector Machines, Logistic Regression, Artificial Neural Networks, AdaBoost, and Gradient Descent. …”
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Increased but not pristine soil organic carbon stocks in restored ecosystems by Irene Ascenzi, Jelle P. Hilbers, Marieke M. van Katwijk, Mark A. J. Huijbregts, Steef V. Hanssen

“…Yet, we observe a SOC deficit in restored ecosystems compared to pristine sites, ranging from 14% (forests; 12–16% CI) to 50% (wetlands; 14–87% CI). …”
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A Semiempirical Method to Estimate Actual Evapotranspiration in Mediterranean Environments by Marta Chiesi, Piero Battista, Luca Fibbi, Lorenzo Gardin, Maurizio Pieri, Bernardo Rapi, Maurizio Romani, Fabio Maselli

“…., grassland, coniferous, and deciduous forests). The results are evaluated versus latent heat measurements taken by eddy covariance flux towers. …”
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A Mosquito Culex cedecei Stone and Hair (Insecta: Diptera: Culicidae) by Kristin Elizabeth Sloyer, Nathan Daniel Burkett-Cadena

“…Culex cedecei is typically found in forested wetlands of southern Florida, ranging from mangrove swamps to hardwood hammocks and lowland pine ecosystems (Hoyer et al., 2019). …”
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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

“…The highest reduction in aboveground carbon stocks occurred in mixed gardens, while a slight increase in aboveground carbon stocks occurred in forests, shrubs, and paddy fields. The results highlight the contribution of mixed gardens to carbon storage as they are visually similar to forests in the structure and composition of vegetation.CONCLUSION: Land use and land cover changes directly affected the aboveground carbon stock potential in Rancakalong District, indicated by an 11,096-ton reduction in the stocks. …”
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NIGERIA’S INTRACTABLE CRISIS OF NATIONAL INSECURITY AND THE RESPONSE OF THE SOUTHWESTERN STATES by Sunday Owen, ABANG PhD, ADEYEMI-SUENU, Adebowale(PhD)

“… This study has as its primary objective among others, the examination of the nature, reasons and challenges of insecurity in the South-west region of Nigeria, as well as the seemingly unchecked and continuous penetration of the region’s forests by kidnappers and other criminal elements. …”
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