High-resolution canopy fuel maps based on GEDI: a foundation for wildfire modeling in Germany by Johannes Heisig, Milutin Milenković, Edzer Pebesma

“…Instead of using field measurements, we generate (GEDI-) footprint-level estimates for canopy (Base) height (CH, CBH), cover (CC), bulk density (CBD), and fuel load (CFL) by segmenting airborne Light Detection and Ranging point clouds and processing tree-level metrics with allometric crown biomass models. …”
Get full text

Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…The other eight classifiers have provided accuracies in descending order such as Convolutional Neural Network, Long Short-Term Memory, k-Nearest Neighbors, and Decision Tree 0.98; Logistic Regression 0.96; Support Vector Machine 0.97, and Naïve Bayes 0.89, respectively. …”
Get full text

Assessment of trade-off balance of maize stover use for bioenergy and soil erosion mitigation in Western Kenya by Keiji Jindo, Keiji Jindo, Golaleh Ghaffari, Manisha Lamichhane, Asher Lazarus, Yoshito Sawada, Hans Langeveld

“…High-resolution remote sensing, self-organizing maps (SOM), and Hidden Markov Models (HMM) were integrated for annual field condition monitoring. A decision-tree machine learning model identified farm characteristics favorable for maize stover use in biogas production.ResultsLarger households were found to consume more energy per capita, while proximity to forests did not significantly influence firewood or charcoal consumption. …”
Get full text

Bryophytes as Indicators of Disturbance in One of the Last Remnants of the Mountain Forests of El Oro Province, Ecuador by Ángel Benítez, Richard Nagua, Jefferson Medina, Gregorio Lapo, Erika Yangua-Solano, Rolando Andrade-Hidalgo

“…This study confirms that forest disturbance is a key factor in determining not only the number of species but also the composition of bryophyte species. The maximum tree diameter and primary forest remnants are important factors in the conservation of sensitive bryophyte species at the base of trees in one of the last remnants of mountain forests in El Oro Province, Ecuador.…”
Get full text

Identifikasi Hama dan Penyakit Pada Tanaman Anggrek Bulan (Phalaenopsis amabilis) by Ari Monawati, Desi Rhomadhoni, Nur Rokhimah Hanik

“…The government through presidential decree (Kepres) No. 4 of 1993, on January 9, 1993, designated the moon orchid as a charm flower named Latin Phaleonopsis amabilis, this orchid grows attached to a tree trunk or branch and is one type of orchid endemic to Indonesia. …”
Get full text

Mood Detection from Physical and Neurophysical Data Using Deep Learning Models by Zeynep Hilal Kilimci, Aykut Güven, Mitat Uysal, Selim Akyokus

“…Multinomial Naïve Bayes (MNB), Support Vector Regression (SVR), Decision Tree (DT), Random Forest (RF), and Decision Integration Strategy (DIS) are evaluated as conventional machine learning algorithms. …”
Get full text

Association of Premature Ventricular Contraction (PVC) with hematological parameters: a data mining approach by Nafiseh Hosseini, Sara Saffar Soflaei, Pooria Salehi-Sangani, Mahdiyeh Yaghooti-Khorasani, Bahram Shahri, Helia Rezaeifard, Habibollah Esmaily, Gordon A. Ferns, Mohsen Moohebati, Majid Ghayour-Mobarhan

“…The association of hematological factors with PVC was evaluated using different machine learning (ML) algorithms, including logistic regression (LR), C5.0, and boosting decision tree (DT). The dataset was divided into training and test, and each model’s performance was appraised on the test dataset. …”
Get full text

Urban landscape patterns and residents’ perceptions of safety under extreme city flood disasters by Wei Ma, Yingjie Du, Yuxiao Wang, Quanxiu Chen, Huaxiong Jiang, Runting Cai, Tianshun Gu, Wenxin Zhang

“…Methods: Surveying 1329 residents impacted by urban flooding in Zhengzhou, this study employed the Gradient Boosting Decision Tree (GBDT) model to examine the nonlinear relationship between ULP and RPS amidst extreme flood disasters. …”
Get full text

What can be lost? Genomic perspective on the lipid metabolism of Mucoromycota by Blanka Sokołowska, Małgorzata Orłowska, Alicja Okrasińska, Sebastian Piłsyk, Julia Pawłowska, Anna Muszewska

“…This enabled us to explore the genomic basis of the previously documented ability to produce several types of lipids within the fungal tree of life. The core lipid metabolism genes showed no significant diversity in distribution, however specialized lipid metabolic pathways differed in this regard among different fungal lineages. …”
Get full text

Association between Sensitivity to Thyroid Hormone Indices and Bone Mineral Density in US Males by Shuai Chen, Wucui Huang, Guowei Zhou, Xiaohe Sun, Jie Jin, Zhiwei Li

“…The thyroid hormone sensitivity indices included free triiodothyronine/tree thyroxine (FT3/FT4), thyroid-stimulating hormone index (TSHI), thyrotroph thyroxine resistance index (TT4RI), and thyroid feedback quantile-based index (TFQI). …”
Get full text

Health and Characteristics of Australian Apple Growing Soils by Marcus Hardie, Garth Oliver, William Cotching, Brianna Walker, Rachel Lancaster, Nigel Swarts

“…This study is unique in being the first to report the condition and characteristics of Australia’s apple growing soils; it provides essential baseline data for future monitoring of soil health in apple production systems, as well as soil physical and chemical data required for the development of perennial soil-tree-climate models. Soil chemical and physical properties were measured at 34 orchards, across five states. …”
Get full text

SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

“…Using a controlled sampling strategy across various instance levels, the performance of both methods in conjunction with decision tree regression, gradient boosting regression, and Bayesian regression models was evaluated. …”
Get full text

Serum Creatinine Level and APACHE-II Score within 24 h of Admission Are Effective for Predicting Persistent Organ Failure in Acute Pancreatitis by Jianhua Wan, Wenqing Shu, Wenhua He, Yin Zhu, Yong Zhu, Hao Zeng, Pi Liu, Liang Xia, Nonghua Lu

“…The second classification tree has shown that when the serum creatinine level>1.8 and APACHE−II≥8 within 24 h were combined, the rates of predicted persistent organ failure achieved 66.7%. …”
Get full text

Contribution of NGO’s and Private Sector to Natural Forest Conservation of Nyugwe National Park Rwanda. by Sabbas, Duhayimana .A.

Get full text

Ophiostomatoid fungi associated with pine bark beetles and infested pines in south-eastern Australia, including Graphilbum ipis-grandicollis sp. nov. by Conrad Trollip, Angus J. Carnegie, Quang Dinh, Jatinder Kaur, David Smith, Ross Mann, Brendan Rodoni, Jacqueline Edwards

“…Abstract The ophiostomatoid fungi are an assemblage of ascomycetes which are arguably best-known for their associations with bark and ambrosia beetles (Curculonidae) and blue stain (sap stain) of many economically important tree species. These fungi are considered a significant threat to coniferous forests, which has resulted in numerous studies characterising the diversity of bark beetles and their ophiostomatoid associates globally. …”
Get full text

A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

“…Using 5–7 predictors (water intake, sodium intake, potassium intake, urine volume, s-Na concentration, serum potassium concentration, serum chloride concentration), the support vector regression model showed the best performance overall (root mean square error = 0.05396; R2 = 0.92), followed by the linear regression and regression tree models. The predicted s-Na levels, using explainable machine learning algorithms and clinically accessible parameters, correlated well with the actual levels. …”
Get full text

Evidence that the domesticated fungus Leucoagaricus gongylophorus recycles its cytoplasmic contents as nutritional rewards to feed its leafcutter ant farmers by Caio Ambrosio Leal-Dutra, Lok Man Yuen, Bruno Augusto Maciel Guedes, Marta Contreras-Serrano, Pedro Elias Marques, Jonathan Zvi Shik

“…While autophagy is a ubiquitous and often highly derived process across the tree of life, our study reveals a new role for autophagy as a mechanism of functional integration between ant farmers and their fungal crop, and potentially as a signifier of higher-level homeostasis between uniquely life-time committed ectosymbionts.…”
Get full text

Impact of vancomycin area under the curve in early or later phase on efficacy and nephrotoxicity in patients with enterococcal bloodstream infections: a multicenter study by Piyawadee Tangvichitrerk, Dhitiwat Changpradub, Jatapat Hemapanpairoa, Piraporn Juntanawiwat, Wichai Santimaleeworagun

“…According to Classification and Regression Tree analysis, vancomycin AUC at 420 mg·h/l was the PK/PD target for 30-day mortality. …”
Get full text

Soft computing approaches of direct torque control for DFIM Motor's by Zakariae Sakhri, El-Houssine Bekkour, Badre Bossoufi, Nicu Bizon, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

“…This article provides a critical analysis of the following cutting-edge methods: DTC with Space Vector Modulation (DTC-SVM), DTC based on Fuzzy Logic (DTC-FL), DTC using Artificial Neural Networks (DTC-ANN), DTC optimized by Genetic Algorithms (DTC-GA), DTC with Ant Colony Optimization (DTC-ACO), DTC with rooted tree optimization (DTC-RTO), Sliding Mode Control (DTC-SMC), and Predictive DTC (P-DTC). …”
Get full text

Spatial and Temporal Variability Management for All Farmers: A Cell-Size Approach to Enhance Coffee Yields and Optimize Inputs by Eudocio Rafael Otavio da Silva, Thiago Lima da Silva, Marcelo Chan Fu Wei, Ricardo Augusto de Souza, José Paulo Molin

“…The results indicated that macro- and micronutrient contents in the soil and leaves exhibited spatio-temporal heterogeneity between cells, suggesting that customized coffee tree management practices could be employed. The cell-size sampling strategy identified regions of varying yield over time and associated them with their biennial effect, enabling the identification of profitable areas to direct resource and input management in subsequent seasons. …”
Get full text