Jurassic Osmundaceous Landscapes in Patagonia: Exploring the Concept of Ecological Stasis in the Deseado Massif, Argentina by Juan L. García Massini, Giovanni C. Nunes, Agustina Yañez, Ignacio H. Escapa, Diego Guido

“…This association is comparable to those dominated by Osmundaceae in modern swampy settings, such as in high-altitude lagoons in the Paraná Forest in Northeastern Argentina. In addition, a diverse community of mutualistic, parasitic, and saprotrophic microorganisms associated with the ferns and conifers in the assemblage is present. …”
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Depression Recognition Using Daily Wearable-Derived Physiological Data by Xinyu Shui, Hao Xu, Shuping Tan, Dan Zhang

“…We extracted static features such as the mean, variance, skewness, and kurtosis of physiological indicators like heart rate, skin conductance, and acceleration, as well as autoregressive coefficients of these signals reflecting the temporal dynamics. Utilizing a Random Forest algorithm, we distinguished depressive and non-depressive individuals with varying classification accuracies on data aggregated over 6 h, 2 h, 30 min, and 5 min segments, as 90.0%, 84.7%, 80.1%, and 76.0%, respectively. …”
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Evaluation of Antioxidant and Antimicrobial Activity of Saponin Extracts from Different Parts of Argania spinosa L. Skeels by Yousra El Idrissi, Youssef Elouafy, Hamza El Moudden, Najoua Mghazli, Chakir El Guezzane, Adil El Yadini, Hicham Harhar, Abdelkader Zarrouk, Khang Wen Goh, Long Chiau Ming, Abdelhakim Bouyahya, Mohammed Tabyaoui

“…The argan tree is a versatile forest tree (silviculture-fruit-forestry) of great importance for the country both in biological, phytogenetic and ecological biodiversity as well as in economic and social aspects. …”
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Effects of organic amendment on some soil physicochemical characteristics and vegetative properties of Zea mays in wetland soils of the Niger Delta impacted with crude oil by Francis E. Egobueze, Josiah M. Ayotamuno, Chukwujindu M. A. Iwegbue, Chibogwu Eze, Reuben N. Okparanma

“…Methods Two soil types were investigated, namely, fadama soil (oxisol) and swamp forest soil (utisol). For each soil type, 48 treatment cells and 1 control containing 1 kg of soil each were spiked with crude oil at concentrations ranging from 50 to 200 g kgâ1, representing 5â20% (m/m) contamination levels, respectively. …”
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Important Citation Identification by Exploding the Sentiment Analysis and Section-Wise In-Text Citation Weights by Shahzad Nazir, Muhammad Asif, Shahbaz Ahmad, Hanan Aljuaid, Rimsha Iftikhar, Zubair Nawaz, Yazeed Yasin Ghadi

“…Citations were classified with Support Vector Machine, Multilayer Perceptron, and Random Forest. F-measure, Recall, and Precision were considered to evaluate the results, compared with the state-of-the-art results. …”
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Piezoresistive Cantilever Microprobe with Integrated Actuator for Contact Resonance Imaging by Tianran Ma, Michael Fahrbach, Erwin Peiner

“…A novel piezoresistive cantilever microprobe (PCM) with an integrated electrothermal or piezoelectric actuator has been designed to replace current commercial PCMs, which require external actuators to perform contact-resonance imaging (CRI) of workpieces and avoid unwanted “forest of peaks” observed at large travel speed in the millimeter-per-second range. …”
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Structural and Optothermal Properties of Iron Ditelluride Layered Structures in the Framework of the Lattice Compatibility Theory by K. Ben Messaoud, A. Gantassi, H. Essaidi, J. Ouerfelli, A. Colantoni, K. Boubaker, M. Amlouk

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Palmitoylation-related gene ZDHHC22 as a potential diagnostic and immunomodulatory target in Alzheimer’s disease: insights from machine learning analyses and WGCNA by Sanying Mao, Xiyao Zhao, Lei Wang, Yilong Man, Kaiyuan Li

“…This study applied WGCNA along with three machine learning algorithms—random forest, LASSO regression, and SVM–RFE—to further select key PRGs (KPRGs). …”
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Application of Ultrasound Radiomics in Differentiating Benign from Malignant Breast Nodules in Women with Post-Silicone Breast Augmentation by Ling Hao, Yang Chen, Xuejiao Su, Buyun Ma

“…Model performance was further evaluated using ROC curves and calibration curves, while clinical utility was assessed via decision curve analysis (DCA). Results: The random forest model exhibited superior performance in differentiating benign from malignant nodules in the validation set, achieving sensitivity of 0.765, specificity of 0.838, and an AUC of 0.787 (95% CI: 0.561–0.960). …”
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Evaluation of laboratory findings indicating pancreatitis in healthy lean, obese, and diabetic cats by Freja K. Jørgensen, Charlotte R. Bjornvad, Birgit Krabbe, Stinna Nybroe, Ida N. Kieler

“…Fisher's exact test assessed the proportions of cats with fPLI and fTLI indicative of pancreatitis, and hypocobalaminemia. A random forest algorithm identified explanatory variables for cats having fPLI levels indicative of pancreatitis. …”
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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…This study statistically assessed the performance of Naive Bayes, support vector machine (SVM), and random forest algorithms on sentiment text classification task. …”
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The Primate Habituation Programme, Dzanga Sangha Protected Areas, Central African Republic: An overview by Terence Fuh Neba, Anna Feistner, Angelique Todd

“…DSPA is CAR’s largest remaining nearly intact forest block and known for its outstanding biodiversity, including most of CAR's gorillas (G. g. gorilla). …”
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PhyIndBC: Development of a machine learning tool for screening of potential breast cancer inhibitors from phytochemicalsGitHub by Agneesh Pratim Das, Subhash M. Agarwal

“…., k-nearest neighbor (KNN), random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGB) were combined with various molecular fingerprints (MACCS and Morgan2) to develop multiple predictive models. …”
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Marine debris surveys on four beaches in Rizhao City of China by C. Zhou, X. Liu, Z. Wang, T. Yang, L. Shi, L. Wang, L. Cong, X. Liu, J. Yang

“…In this paper, the abundance, composition and source of beached marine debris, and debris collection system and frequency as well as dustbins’ conditionwere investigated in Duodaohai, Wanpingkou, Shanhaitian and National Forest Park beaches of Rizhao City from June 1 to 10, 2013. …”
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Characterization and molecular biological identification of tick species in Nanjing city by Luyao SUN, Xuemin CHEN, Bingdong SONG, Yan ZHANG, Yanqun SUN, Yue MIN, Shougang ZHANG

“…The highest number of free-living ticks in different habitats was collected in suburban parks (50), followed by those around rural natural villages (47) and barren grasslands (33), and then in forest areas (2). Parasitic ticks were collected from goats, dogs, and hedgehogs, which accounted for 55.79% (776 ticks), 9.35% (130), and 34.87% (485) of the 1 391 parasitic ticks collected, respectively. …”
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Assessment of soil erosion and sediment yield in response to land use and land cover changes using geospatial techniques in Dumuga Watershed, Ethiopia by Zenebe Reta Roba, Mitiku Badasa Moisa, Sanju Purohit, Kiros Tsegay Deribew, Dessalegn Obsi Gemeda

“…The findings highlight a dramatic shift in land use, with cultivated land increasing from 62.3% (915.3 km2) to 77.0% (1,132.0 km2) and forest cover declining sharply from 13.3% (196.0 km2) to 3.8% (56.2 km2). …”
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Development of the adaptive spring bread wheat cultivar ‘Omskaya Yubileynaya’ under the conditions of the Siberian region by N. A. Popolzukhina, P. V. Popolzukhin, A. A. Gaidar, Yu. Yu. Parshutkin, N. A. Yakunina

“…‘Omskaya Yubileynaya’, the data were obtained that justified its prospective cultivation within the steppe and forest-steppe zones of Siberia and Kazakhstan. The cultivar has been registered in the national lists of breeding achievements since 2019.…”
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Evolutionary Genomics Provides Insights Into Endangerment and Conservation of a Wild Apple Tree Species, Malus sieversii by Jian Zhang, Fang‐Yuan Zhao, Hong‐Xiang Zhang

“…Malus sieversii, a relict broad‐leaf forest tree found in arid Central Asian mountains, has a narrow and fragmented distribution and is classified as an endangered species in China. …”
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Environmental Covariates for Sampling Optimization and Pest Prediction in Soybean Crops by Cenneya Lopes Martins, Maiara Pusch, Wesley Augusto Conde Godoy, Lucas Rios do Amaral

“…Data from the three sampling designs comprising 50 points were evaluated using geostatistical methods, regression analysis (pest abundance), and classification (pest presence or absence) via the random forest algorithm. The data showed no spatial dependence, making using geostatistical interpolators inappropriate. …”
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Topologically consistent regression modeling exemplified for laminar burning velocity of ammonia-hydrogen flames by Hui Du, Tianyu Wang, Haogang Wei, Guy Y. Cornejo Maceda, Bernd R. Noack, Lei Zhou

“…Four regression models, Multi-layer Perceptron (MLP), eXtreme Gradient Boosting (XGBoost), Random Forest (RF), and Light Gradient Boosting Machine (Light GBM), are trained using the data generated by a modified GRI3.0 mechanism. …”
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