Mathematical Models to Compare the Pharmacokinetics of Methadone, Buprenorphine, Tramadol, and Tapentadol by Prathvi Shenoy, Joslin D’Souza, Mahadev Rao, Shreesha Chokkadi, Naveen Salins

“…This data is significant for understanding the drug’s clearance rate and its potential duration of action. By comparing the distribution patterns and elimination rates of methadone, buprenorphine, tramadol, and tapentadol, the study provides insights into the differences between these drugs in terms of their pharmacokinetic properties. …”
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Risk factors and prevention of falls in children under 3 years: a systematic review by Tetiana Yermakova

“…Investigating the mechanisms of falls and their possible outcomes is a promising and crucial area for reducing childhood injury rates. The aim of this systematic review is to identify key patterns and factors associated with falls in young children, as well as to propose preventive strategies to minimize the risk of injuries. …”
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Regional changes in the prevalence of Parkinson’s disease over a ten-year period in the state of Texas by Sean G. Young, Kathryn Elwell, Christopher R. Watts

“…Males had a higher prevalence rate in both years, though both sexes doubled their prevalence over the ten-year period. …”
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Road ecology of a Chihuahuan Desert snake community: size-based mortality sets the stage for evolutionary change in a widespread pitviper by Daniel F. Hughes

“…Snakes are significant predators in many ecosystems, but high rates of road mortality threaten to diminish their ecological contributions. …”
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Nitrogen reduction with supplemental irrigation enhances yield by delaying leaf senescence and optimizing grain-filling process for ridge-furrow film mulching winter wheat by Xiaobo Gu, Yang Xu, Tongtong Zhao, Yadan Du, Yuanling Zhang, Yuyu Tian, Zhikai Cheng, Huanjie Cai, Zhandong Liu

“…However, the optimal supplemental irrigation rate to further increase the yield of winter wheat under RFM remains unclear. …”
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Differential accumulation of secondary metabolites as indicators of graft incompatibility in Cyclocarya paliurus by Sun Caowen, Xu Run, Guo Xuchen, Shang Xulan, Fang Shengzuo

“…This study aimed to investigate the secondary metabolites associated with graft success in C. paliurus by selecting three clones and three provenances as grafting scions and rootstocks. The survival rates of various graft combinations were meticulously recorded. …”
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Supraglacial Ice Cliffs Can Substantially Increase the Mass Loss of Debris‐Covered Glaciers by Pascal Buri, Evan S. Miles, Jakob F. Steiner, Silvan Ragettli, Francesca Pellicciotti

“…Abstract The thinning patterns of debris‐covered glaciers in High Mountain Asia are not well understood. …”
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Williams Syndrome and Agreement: The Case for Spanish Speakers by Antònia Llull Febrer, Lluís Barceló-Coblijn, Elga Cremades

“…Additionally, error rates are low in both groups, suggesting that observed discrepancies might be due to individual variation rather than condition-specific deficits, even though the statistical power of the study is limited. …”
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Clustering Library Loan Books Using K-Means Clustering by Mawar Indah Tanjung, Sriani Sriani

“…This study aims to classify books based on borrowing patterns to provide insights into library collection management. …”
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Who underreports smoking on birth records: a Monte Carlo predictive model with validation. by Thomas G Land, Anna S Landau, Susan E Manning, Jane K Purtill, Kate Pickett, Lauren Wakschlag, Vanja M Dukic

“…However, little is known about which populations have higher rates of underreporting. Availability of more accurate measures of smoking during pregnancy could greatly enhance the usefulness of existing studies on the effects of maternal smoking offspring, especially in those populations where underreporting may lead to underestimation of the impact of smoking during pregnancy.…”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Experimental evaluations demonstrate TANEA’s superior performance over traditional methods, achieving improved accuracy, reduced computational overhead, and faster convergence rates. The algorithm’s adaptability to various biomedical data patterns enables more effective real-time monitoring and decision-making in IoT-based healthcare environments. …”
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Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter. by Wasim Abbas, Sieun Lee, Sangil Kim

“…The implications of our findings suggest a notable shift in transmission and recovery rates, starting in 2015.<h4>Discussion</h4>The model successfully predicted the peak and magnitude of HFMD outbreaks occurring between June and December, closely matching the observed epidemic patterns. …”
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A Comprehensive Assessment of Ayurvedic Patient Care Services in a Modern Medicine Public Tertiary Care Hospital by Renuka Munshi, Santosh Kadam

“…Over five years patient retention rates exhibited a gradual increase signifying a higher level of patient satisfaction and loyalty towards Ayurvedic treatments. …”
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Anomalous Transport in Dissolving Porous Media: Transitions Between Fickian and Non‐Fickian Regimes by Jingxuan Deng, Rishabh P. Sharma, Piotr Szymczak, Peter K. Kang

“…Depending on the interplay between advection, diffusion, and reaction rates, mineral dissolution produces distinct dissolution patterns, such as wormholing and uniform dissolution. …”
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Surface Salinity Variability in the Gulf of Mexico During Flood and Drought Years by Pamela J. Lee, Richard J. Brokaw, Ebenezer S. Nyadjro, Bulusu Subrahmanyam

“…We combine satellite‐derived sea surface salinity (SSS), ocean currents, and river discharge rates to examine patterns of salinity distribution throughout the entire GoM basin. …”
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GreenNav: Spatiotemporal Prediction of CO₂ Emissions in Paris Road Traffic Using a Hybrid CNN-LSTM Model by Youssef Mekouar, Imad Saleh, Mohammed Karim

“…In a global context where reducing the carbon footprint has become an urgent necessity, this article presents a hybrid CNN-LSTM prediction model to estimate CO₂ emission rates of Paris road traffic using spatio-temporal data. …”
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Assessment of Larsen C Ice Shelf stability: insights from surface and basal fracture by Qian Li, Zemin Wang, Jiachun An, Mingliang Liu, Pei Jiang, Zhuoya Shi

“…The LIS surface fracture (surface crevasses and depressions) distribution was linked to strain rates and maximum buttressing. Basal melting predominantly influences basal fracture formation (basal crevasses), with the penetration rate increasing in the direction of ice flow. …”
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Deep learning based predictive models for real time accident prevention in autonomous vehicle networks by Ahmed Almutairi, Abdullah Faiz Al Asmari, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan

“…These studies evaluate key metrics such as the accuracy of predictions, the response time, the reduction in accident rate, the efficiency of decision-making, and the resilience to false data. …”
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Advancing sedimentation modeling in large reservoir systems: Insights from multi-scale process coupling and machine learning by Yuning Tan, Huaixiang Liu, Yongjun Lu, Zhili Wang, Wenjie Li

“…Our climate scenario simulations revealed uneven sedimentation patterns and projected declining sedimentation rates over the next 30 years. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…We developed two innovative machine learning models: the Fourier-Enhanced Network (FEN), which utilizes Fourier series to decompose input features into harmonic components; and the Residual Block Network (ResBNet), which incorporates skip connections within residual layers to capture complex nonlinear patterns. ResBNet demonstrated high accuracy in predicting relative droplet radius, Strouhal number, and optimized geometric ratios, while FEN offered computational efficiency and robust performance across a broad range of flow rates. …”
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