Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang by Sutarman, Rimbun Siringoringo, Dedy Arisandi, Edi Kurniawan, Erna Budhiarti Nababan

“…Tahapan klasifikasi menerapkan Logistic Regression. Teknik ridge regression (L2-regularization) diterapkan untuk menghindari overfitting pada tahap validasi model LR.  …”
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Evolution Characteristics of Soil and Water Conservation Carbon Pool and Its Carbon Sink Potential in Typical Small Watershed of the Loess Plateau by HE Guokai, WANG Kaibo, REN Zongping, XU Guoce, DONG Pengbei, WANG Pu

“…Terraced grassland, terraced woodland, slope grassland, channel grassland, slope woodland and dam land increased by 318.1%, 255.3%, 150.0%, 130.9%, 103.9% and 73.9%, respectively. (3) Soil and water conservation carbon storage in the study area increased from 264.5 t in 1977 to 332.8 t in 2022, with an increase of 25.8%, of which only 3.5% increased from 1977 to 2004, 22.4% increased from 2004 to 2015, and it then tended to be stable after 2015. (4) Under the condition that the soil below the ridge crest line remained unchanged, the soil organic carbon sequestration potential was the highest when the terraced grassland measures were adopted above the ridge crest line, with an increase of 20.5% compared with 2022. …”
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Pathomorphological features of the proximal femur in crowe IV hips and their implication on stem selection during total hip arthroplasty by Kaveh Gharanizadeh, Elham Mohammadyahya, Mohammad Reza Bahaeddini, Shayan Amiri, Sajad Noori Gravand, Sepideh Pezeshki, Amir Aminian, Arvin Eslami, Hamed Tayyebi, Mansour Abolghasemian

“…The distances between the tip of the greater trochanter and vastus ridge (GT-VR), vastus ridge and proximal border of lesser trochanter (VR-LT), greater- and lesser trochanters (GT-LT), base width of the LT, and the proportion of these distances to the femoral length were evaluated. …”
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Gulf Bluestem, Maritime Bluestem, Schizachyrium maritimum by Debbie Miller, Mack Thetford, Chris Verlinde, Gabriel Campbell, Ashlynn Smith

“…Gulf bluestem helps stabilize dunes, forms thick stands in areas leeward of slopes (Craig 1991), replaces sea oats as the dominant species on protected foredunes behind a seaward ridge after 2 to 17 years (Johnson 1997), and occurs throughout flatwoods and disturbed areas. …”
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Oral lichen planus involving the palate: Case report and review of literature by Shahen Ali Ahmed, Ali Fakhree Alzubaidee

“…In descending order of frequency the tongue, gingivae, alveolar ridge, lips, and less commonly the palate may also be affected. …”
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Modeling and estimation of physiochemical properties of cancer drugs using entropy measures by Qasem M. Tawhari, Muhammad Naeem, Abdul Rauf, Muhammad Kamran Siddiqui, Oladele Oyelakin

“…We establish a quantitative structure-property relationship using reverse entropy measures to predict physical properties of cancer drugs. Multiple linear, Ridge, Lasso, ElasticNet, and Support Vector regression models are employed using Python software. …”
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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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Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

“…Three models with different approaches were applied to correlate and model the experimental data set: (i) seven density-based models, (ii) PR equations of state (vdW2 mixing rule), and (iii) machine learning-based models, namely non-linear regressions, Random Forest, Gradient Boosting, Decision Tree, and Kernel Ridge. All tested models successfully correlate and model the solubility data within an acceptable accuracy. …”
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Early Iron Age Pottery Technology of the Kazakh Uplands (Saryarqa) by Valeriy G. Loman

“…In addition, 17 vessels from barrows with ‘moustaches’ (or stone ridges) previously dated to the Early Iron Age have also been investigated. …”
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Histological demonstration of gonad development in the banana shrimp, Fenneropenaeus merguiensis by Jirakanit Chimnual, Jirawat Saetan, Wilaiwan Chotigeat

“…Hematoxylin and Eosin staining and in situ hybridization with the VASA probe revealed that the PGCs migrated retrogradely along the midgut, colonizing the area between the hepatopancreas and heart, a region that becomes the genital ridge in the postlarval stage. External sexual organs appeared at approximately 4 months of age. …”
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Yeti claws: Cheliped sexual dimorphism and symmetry in deep-sea yeti crabs (Kiwaidae). by Christopher Nicolai Roterman, Molly McArthur, Cecilia Laverty Baralle, Leigh Marsh, Jon T Copley

“…A total of 135 specimens from the East Scotia Ridge were examined, revealing mean asymmetry indices close to zero with respect to propodus length and height, albeit with a significantly larger number of marginally left-dominant individuals with respect to propodus length, possibly indicative of some task specialisation between claws, or a vestigial ancestral trait. …”
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Examining different approaches for short-term load demand forecasting in microgrid management: a case study of a university in Nigeria by Barnabas Iliya Gwaivangmin

“…This study assessed three forecasting methodologies—Ridge Regression (RG), Autoregressive Integrated Moving Average (ARIMA), and Support Vector Machine (SVM) regression—for predicting electricity load demand in a microgrid at the University of Jos in Nigeria. …”
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Demographic disparities, service efficiency, safety, and user satisfaction in public bus transit system: A survey-based case study in the city of Charlotte, NC by Sanaz Sadat Hosseini, Babak Rahimi Ardabili, Mona Azarbayjani, Hamed Tabkhi

“…Statistical analyses, including GLM, POLR, CLM, and Multinomial Ridge Regression, identified significant factors influencing transit use and perceptions. …”
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Tungsten impurity reduction by ICRH in a high power injection and high performance H-mode discharge on EAST by Zhen Zhou, Shengyu Shi, Ling Zhang, Tao Zhang, Xiaohe Wu, Yunxin Cheng, Wenmin Zhang, Chaowei Mai, Shengyu Fu, Yifei Jin, Xiang Jian, Kaixuan Ye, Lin Yu, Ziqiang Zhou, Jiuyang Ma, Shuqi Yang, Kangning Geng, Gongshun Li, Jia Huang, Fei Wen, Yunfeng Liang, Xiang Gao

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Cretaceous Limestone Dolomitization and Argument of Its Mg2+ Sources: Exampling the Bekhme and Qamchuqa Formations in the Zagros Collision Belt by Kamal Haji Karim, Sherzad Tofiq Mohamad

“…Another source is the connection of the Arabian platform with the Neo-Tethys Sea, which was the locus of Mg-rich mafic volcanism in the form of arcs and mid-oceanic ridge topography, which supplied a voluminous amount of Mg to the Arabian carbonate platform through ocean currents. …”
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Co-occurrence of a Mullerian anomaly and Kallmann syndrome: A case report by Lea C. George, Rebecca Gendelman, Anat Chemerinski, Pierre Lespinasse, Inessa A. Goldman, Sara Morelli

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Magmatic volatiles control the sub-plinian basaltic eruptions at Ambae volcano, Vanuatu by Philipson Bani, Alessandro Aiuppa, Diego Coppola, Simon Carn, Dominique Cluzel, Estelle Rose-Koga, Etienne Medard, François Nauret, Yves Moussallam, Dan Tari, Iuma Bani

“…This enrichment is likely linked to the geodynamic setting, where subduction of the faulted, carbonate-rich D’Entrecasteaux Ridge, coupled with an influx of fertile mantle, fostered the formation of volatile-rich magma. …”
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An impermeable copper surface monolayer with high-temperature oxidation resistance by Su Jae Kim, Young-Hoon Kim, Bipin Lamichhane, Binod Regmi, Yousil Lee, Sang-Hyeok Yang, Seon Je Kim, Min-Hyoung Jung, Jae Hyuck Jang, Hu Young Jeong, Miaofang Chi, Maeng-Je Seong, Hak Soo Choi, Seong-Gon Kim, Young-Min Kim, Se-Young Jeong

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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

“…This study explores modeling using regularization techniques such as ridge regression, LASSO, elastic net, classification tree, tree ensemble models like random forest or XGBoost, and neural networks to predict CsPCa in a dataset of 4799 patients in Catalonia (Spain). …”
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The effect of variable light intensity in luminescent-netting pots on the catch of snow crab (Chionoecetes opilio) by Colin C.H. Frank, Shannon M. Bayse

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