Development of Quantitative Structure–Anti-Inflammatory Relationships of Alkaloids by Cristian Rojas, Doménica Muñoz, Ivanna Cordero, Belén Tenesaca, Davide Ballabio

“…Because they can be labelled as active or inactive compounds against the inflammatory biological response, the aim of this work was to calibrate quantitative structure-activity relationships (QSARs) using machine learning classifiers to predict anti-inflammatory activity based on the molecular structures of alkaloids. …”
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Mechanism Exploration and Quantitative Analysis of Swine Erysipelas Outbreaks by Liu Yuewu, Liu Jiaxi, Liu Yuhang, Liu Shengyong, Li Chun

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Quantitative Examination of Dialectal Perception in the Vicinity of the Kaunas Lagoon by Žydrūnas Šidlauskas

“…This goal was achieved in three steps: 1) based on the features of the reconstructed local dialectal variant of the flooded settlements of the Kaũnas Lagoon, indicators of the dialecticism of the informants were determined; 2) having structured the dialectal perception responses, a quantitative model of dialect awareness was created; 3) having established the correlation between the emic and etic data, an examination of the dialectal perception and the actual usage was carried out on a vertical and horizontal continuum. …”
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Demand Response Strategy Optimization Method Based on Differentiated Comprehensive Benefit Model of Air-Conditioning Customers by Boyang Li, Yuhan Wang, Houze Jiang, Ran Wang, Shilei Lu

“…This paper proposes a DR strategy optimization method based on user-specific comprehensive benefit evaluation. Firstly, a quantitative model integrating economic benefits and thermal comfort loss is established through the DR benefit mechanism. …”
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Comparative Evaluation of Fractional-Order Models for Lithium-Ion Batteries Response to Novel Drive Cycle Dataset by Xinyuan Wei, Longxing Wu, Chunhui Liu, Zhiyuan Si, Xing Shu, Heng Li

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A Comprehensive Deep Learning System With MGRF Modeling for Predicting Breast Cancer Response to Neoadjuvant Chemotherapy by Ahmed Sharafeldeen, Fatma Taher, Norah Saleh Alghamdi, Eman Alnaghy, Reham Alghandour, Khadiga M. Ali, Sameh Shamaa, Abdelrahman Gamal, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz

“…First, tumor regions are delineated across MRI modalities and then modeled using a translation-invariant Markov-Gibbs random field (MGRF) with analytical parameter estimation to capture modality-specific spatial appearance patterns correlated with NAC response. …”
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ITEM ANALYSIS OF HIGH SCHOOL SPECIALIZATION MATHEMATICS EXAM QUESTIONS WITH ITEM RESPONSE THEORY APPROACH by Lovieanta Arriza, Heri Retnawati, Rizki Tika Ayuni

“…The results of the model fit test showed that most of the specialization mathematics exam items fit the Rasch model. …”
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Genome wide identification of AGC kinase genes and their expression in response to heat and cold stresses in barley by Zohreh HAJIBARAT, Abbas SAIDI

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The Role of Bedrock Circulation Depth and Porosity in Mountain Streamflow Response to Prolonged Drought by Rosemary W. H. Carroll, Andrew H. Manning, Kenneth H. Williams

“…Abstract Quantitative understanding is lacking on how the depth of active groundwater circulation in bedrock affects mountain streamflow response to a multi‐year drought. …”
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Model tests of dynamic response of modified lateritic soil embankments under combined action of wetting and vibration by Xue Han, Xili Qin, Hanhui He, Guang Yang, Jiale Gong

“…Three types of seismic waves—Chi_Chi, NCALIF and SFERN—were used to quantitatively compare the two types of embankments in terms of variations of dynamic response parameters, including PGA amplification effect, pore water pressure and earth pressure, with wetting degrees and acceleration amplitudes. …”
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Dynamics of homeostats: the basis of electrical, chemical, hydraulic, pH and calcium signaling in plants by Leslie Contador-Álvarez, Tamara Rojas-Rocco, Talía Rodríguez-Gómez, María Eugenia Rubio-Meléndez, Janin Riedelsberger, Erwan Michard, Ingo Dreyer

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Quantitative structure-activity relationship study of some angiotensin-converting enzyme inhibitor drugs in the treatment of hypertension based on Monte Carlo optimization method by Shahram Lotfi, Shahin Ahmadi, Ali Azimi

“…The QSAR model of split 2 calculated by TF3 was found to be the best model, and it identified structural attributes responsible for the increase and decrease of inhibitory activity.…”
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Biomarker-Based Nomogram to Predict Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Meritxell Pérez, Juan José Lozano, Mercedes Ingelmo-Torres, Montserrat Domenech, Caterina Fernández Ramón, J. Alfred Witjes, Antoine G. van der Heijden, Maria José Requena, Antonio Coy, Ricard Calderon, Begoña Mellado, Antonio Alcaraz, Antoni Vilaseca, Maria J. Ribal

“…In addition, a three-gene expression prognostic model to predict tumour relapse was generated. This model was able to discriminate between two groups of patients with a significantly different probability of tumour relapse (HR: 2.11; CI: 1.16–3.83, <i>p</i> = 0.01). …”
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A Ratio Estimator for the Mean Using a Mixture Optional Enhance Trust (MOET) Randomized Response Model by Sat Gupta, Michael Parker, Sadia Khalil

“…To overcome this issue, researchers may use Randomized Response Technique (RRT) models. Recently, Parker et al. proposed a model that incorporates some of the most critical recent quantitative RRT advancements—mixture, optionality, and enhanced trust—into a single model, which they called a Mixture Optional Enhanced (MOET) model. …”
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Integrating quantitative knowledge into a qualitative gene regulatory network. by Jérémie Bourdon, Damien Eveillard, Anne Siegel

“…The approach is illustrated by modeling the carbon starvation response in Escherichia coli. …”
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Pulpal Responses to Leukocyte- and Platelet-Rich Plasma Treatment in Mouse Models for Immediate and Intentionally Delayed Tooth Replantation by Angela Quispe-Salcedo, Kiyoko Suzuki-Barrera, Mauricio Zapata-Sifuentes, Taisuke Watanabe, Tomoyuki Kawase, Hayato Ohshima

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From search engines to social influence: a stimulus–organism–response model of travel influencers on TikTok by Jorge Serrano-Malebrán, Franco Campos-Núñez, Cristian Vidal-Silva, Diana Veneros-Alquinta, Francisca Zuñiga-Contreras, Daniela Ahumada-Gutierrez

“…This research employed a cross-sectional quantitative design with a sample of 237 TikTok users aged between 18 and 44 years, analyzed through structural equation modeling (PLS-SEM). …”
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Social media use in disaster response: empowering community resilience by Manal Ginzarly, Jacques Teller, Sébastien Dujardin

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Quantitative identification and characterization of technological trends in the electric vehicle industry by Wonjun Choi, Hyunseok Park

“…With growing attention being paid to electric vehicle (EV) technology as a response to climate change, researchers have been actively investigating the classification and trajectory trends of EV technology. …”
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Quantitatively exploring the influence of geographical conditions on ecological quality using a novel remote sensing model: a comparison between two geographical disparity regions... by Hanqiu Xu, Mengjing Lin, Yifan Wang, Huade Guan, Fei Tang

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