Spatial working memory in a disappearing object task is impaired in female but not male dogs with chronic osteoarthritis by Melissa Smith, Joanna C. Murrell, Michael Mendl

“…Female neutered osteoarthritic dogs, but not male neutered osteoarthritic dogs, were found to have lower predicted probabilities of successfully performing the task compared to control dogs of the same sex. …”
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Healing progression of tail docking and ear tag wounds in lambs by Jocelyn M. Woods, Sarah J. J. Adcock

“…Only 49% of ear wounds had healed by weaning, and tail docking did not predict the probability of healing. Pus and sanguineous exudate (i.e., bleeding) were present at least once in 21% and 96% of ear wounds, respectively. …”
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A scientometric review of the relationship between learning agility and work engagement in modern management context by Farira Nareswari, Rini Juni Astuti

“…Machine learning, artificial neural networks, and predictive analytics can improve learning agility and work engagement. …”
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PRIORITIZATION OF WATERSHEDS FOR RUNOFF RISK AND SOIL LOSS BASED ON MORPHOMETRIC CHARACTERISTICS USING COMPOUND FACTOR AND TOPSIS MODEL by Khalid Muhammad

“…The results showed that the regression analysis designated that the priority rank from (TOPSIS) can be predicted from the priority rank from compound factor computation with a reasonable accurateness. …”
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Coordination Control of Active Steering and Direct Yaw Control for the Articulated Steering Vehicle by Bin Huang, Zhijun Yuan, Dengzhi Peng, Xiaoxu Wei, Yongsheng Wang

“…An integrated AASS (active articulated steering system) DYC (direct yaw control) controller based on the adaptive MPC (model predictive control) method is designed according to the track on the phase plane. …”
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Integrated Analysis of microRNA Targets Reveals New Insights into Transcriptional–Post-Transcriptional Regulatory Cross-Talk by Simona Panni, Roberto Pizzolotto

“…Their involvement in almost all cellular processes predicts their role in diseases, and several microRNA-based therapeutics are currently undergoing clinical testing. …”
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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

“…The proposed framework offers a scalable solution for real-time predictive modeling and logistics optimization.…”
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Development of a High‐Latitude Convection Model by Application of Machine Learning to SuperDARN Observations by W. A. Bristow, C. A. Topliff, M. B. Cohen

“…Further it is found that the mean‐squared difference between predictions of the model and observed values of the velocity are substantially lower than the same quantity calculated for an existing climatology that was not formed with ML techniques.…”
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Full Mouth Reconstruction of a Bruxer with Severely Worn Dentition: A Clinical Report by Somayeh Zeighami, Hakimeh Siadat, Sakineh Nikzad

“…In order to achieve a predictable and desirable result, a systematic approach may be helpful. …”
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Deciphering the Immune Subtypes and Signature Genes: A Novel Approach Towards Diagnosing and Prognosticating Severe Asthma Through Interpretable Machine Learning by Yue Hu, Yating Lin, Bo Peng, Chunyan Xiang, Wei Tang

“…We employ single-sample gene set enrichment analysis (ssGSEA) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms to identify differentially expressed immune cells and utilize machine learning techniques, including Extreme Gradient Boosting (XGBoost) and random forest, to predict severe asthma outcomes and identify key genes associated with immune cells. …”
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Computerized Adaptive Testing Framework Based on Excitation Block and Gumbel-Softmax by Chengsong Liu, Yan Wei

“…In addition, most algorithms primarily focus on accurately predicting students’ abilities, neglecting critical factors such as concept diversity and question exposure rate, which are essential for model effectiveness. …”
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A Review Article: Mitigation Strategies for Seismic Damage in Structures by Raihana M. Ejam, Hatem Hadi Obeid

“…Additionally, the review discusses the potential of machine learning techniques in predicting seismicity rates and improving risk management in seismic-prone areas. …”
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Optimization of Working Conditions for Perovskite-Based Gas Sensor Devices by Multiregression Analysis by Fabio Zaza, Vanessa Pallozzi, Emanuele Serra

“…The results confirm that the applied systematic analysis is a powerful method for studying the direct and indirect effects of every experimental factor on sensor performance and for computing mathematical models with predictive ability, that are useful tools for defining the optimum chemiresistors’ operating conditions. …”
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The association between organizational culture and teachers’ organizational commitment in Bahir Dar Polytechnic College, the State of Amhara by Berhan Kefyalew Taye, Melaku Mengistu Gebremeskel

“…Moreover, three of the four components of organizational culture – mission, consistency, and involvement – significantly predicted the commitment of teachers in the college. …”
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Mechanical properties of new endodontic instruments: a comparative approach with different in vitro tests by Maya Feghali, Biraj Patel, Dina Adami, James Wealleans, Massimo Galli, Tugba Turk

“…Therefore, data of the present study suggest the clinical use of the new “Diamond “ instruments for easy, safe and predictable root canal shaping procedures…”
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Polyaminated, acetylated and stop codon readthrough of recombinant Francisella tularensis universal stress protein in Escherichia coli. by Benjamin Girardo, Lawrence M Schopfer, Yinshi Yue, Oksana Lockridge, Marilynn A Larson

“…Endogenous F. tularensis Usp has a predicted molecular mass of 30 kDa, but rUsp/His6 had an apparent molecular weight of 33 kDa based on Western blot analyses. …”
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Design and modeling of a nanocomposite system for demineralization of sweet whey by Mina Rezapour, Mohsen Esmaiili, Mehdi Mahmoudian, Alireza Behrooz Sarand

“…Overall, this study on dynamic flux and rejection of minerals from whey using CNN modeling can improve optimal conditions for whey demineralization and reduce laboratory testing costs by predicting the results of untested experimental variables.…”
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ChatGPT in orthodontics: limitations and possibilities by Lima Nara Grazieli Martins, Costa Lavínia, Santos Patrícia Bittencourt

“…AI’s growth in healthcare, particularly in dentistry, has been remarkable in aiding clinical practices from appointment scheduling to treatment outcome predictions. In orthodontics, AI effectively handles tasks such as automated landmark detection, diagnosing orthodontic needs, assessing maxillary constriction, and selecting appliances. …”
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Improving the Performance of Liquid-Based Battery Thermal Management Systems Using Flow Patterns and Contact Surface with the Battery by Abolfazl Mokhtari

“…Numerical simulation can effectively predict the thermal behavior of battery cells during discharge and match experimental data. …”
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Dynamics of global economic growth: a Bayesian exploration of basic and augmented Solow models by Nguyen Thi My Diem, Nguyen Ngoc Thach

“…The results demonstrate that the augmented Solow model, which incorporates heterogeneous population growth, savings, technology, and depreciation rates, significantly outperforms the basic model in predictive accuracy. Crucially, the elasticity of output with respect to capital, as estimated through this advanced econometric approach, aligns more closely with widely accepted empirical values. …”
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