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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Using OpenPrescribing.net to evaluate neighbourhood-level prescribing of inhalers for asthma and COPD by Thomas C. Richards, Alison Heppenstall, Rachel A. Oldroyd, Victoria Barr, Roger Beecham

“…We find inequalities in prescribing behaviour, with the most deprived neighbourhoods associated with higher rates of emergency or ’rescue’ inhaler prescribing - a pattern that was interrupted during the March 2020 lockdown. …”
Get full text

Quantitative assessment method for firefighting danger based on numerical simulation of forest fire spread in canyon wind fields. by Ao Wang, Chenghu Wang, Guiyun Gao, Ningyu Wu, Haiyan Su

“…Based on the numerical modeling data of forest fire behavior, it was found that the proportion of areas with high and perilous spreading rates in the study area was 16% and 54%, respectively. …”
Get full text

Herbivore functions in the hot-seat: Resilience of Acanthurus triostegus to marine heatwaves. by Taylor Souza, Jeroen Brijs, Leon Tran, Larry Crowder, Jacob L Johansen

“…Here we evaluate the consequences of thermal stress on the capacity of a common herbivorous coral reef fish (Acanthurus triostegus) to control finely filamentous matrices of Caulerpa sertularioides and C. verticillata algae in Hawai'i, by characterizing in-vivo changes in metabolic demands, diurnal foraging rates, activity patterns and individual condition in a laboratory setting during winter (24.0±0.1°C), summer (27.5±0.1°C), and at the peak of a representative marine heatwave, (31.0±0.1°C). …”
Get full text

Prevalence and antimicrobial resistance of bacterial meningitis in China from 2017 to 2021: a multicenter retrospective study by Chunyan Zhang, Zheng Li, Mengyuan Wang, Shifu Wang

“…A. baumannii showed a high resistance rate to cephalosporins and carbapenems but was sensitive to tigecycline and polymyxins. …”
Get full text

Ecological Implications of Germination Temperature on Native and Invasive Rumex Spp. by Michaela Jungová, Martina Kadlecová, Vilém Pavlů, Leona Leišová‐Svobodová, Pavel Svoboda, Zdenka Martinková

“…Contrary to expectations, R. alpinus exhibited the highest germination rate across all temperatures. In the second experiment, germination rates varied significantly, with a positive correlation between germination success and transition from Alpine to Czech localities. …”
Get full text

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. …”
Get full text

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. …”
Get full text