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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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. …”
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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. …”
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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). …”
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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. …”
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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. …”
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Central line-associated bloodstream infection trend in Brazilian adult intensive care units: an ecological study by Alexsandra Gomes Resende de Souza da Silva, Sergiane Bisinoto Alves, Elisângela Eurípedes Resende Guimarães, Jessyca Rodrigues Braga, Heliny Carneiro Cunha Neves, Silvana de Lima Vieira dos Santos, Maria Auxiliadora Carmo Moreira

“…The aim of this study was to analyze the historical trend of central line-associated bloodstream infections in patients in intensive care units, the rate of infection, central venous catheter utilization ratio, type of pathogen and their antimicrobial resistance pattern. …”
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Vertical Breast Reduction Mammaplasty in the Adolescent Population by Ashley E. Rogers, MD, Alexandra Junn, MD, Esperanza Mantilla-Rivas, MD, Haley S. Oh, Nakul Ganju, BS, Athena Zhang, MD, Md Sohel Rana, MBBS, MPH, Monica Manrique, MD, Albert K. Oh, MD, Gary F. Rogers, MD, JD, LLM, MBA, MPH

“…Our study supports the safety of this approach in adolescents, although larger resection (≥1000 g) and higher body mass index trend toward higher complication rates.…”
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Fish food security: analyzing the economic and environmental variables by Alaa Ahmed Kotb, Emad S. Aljohani, Yosef Alamri, Abdullah I. Aldakhil, Fuad Alagsam, Mansour Abdulaziz Alobaid, Mahdi Alsultan

“…The study employs descriptive statistical analysis to identify trends, patterns, and outliers in the data, using measures such as means, standard deviations, and growth rates. …”
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The prophylaxis and treatmen to finfectious complications caused by nosoco-mialflora after kidney transplantation from living related donor by E. P. Volynchik, L. V. Bolshakov, E. M. Balakirev, N. S. Bogomolova

“…This resulted in reduced rate of infectious complications.…”
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Salter-Harris Type III and Type IV Combined Fracture of the Distal Femoral Epiphysis: A Case Report by Ali Aydin, Murat Topal, Kutsi Tuncer, Eyüp Şenocak

“…Distal femoral physeal fractures are not common but have a high rate of complications. They generally follow one of the patterns described in the Salter-Harris classification. …”
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Investigation of Dual-Vortical-Flow Hybrid Rocket Engine without Flame Holding Mechanism by A. Lai, T.-H. Chou, S.-S. Wei, J.-W. Lin, J.-S. Wu, Y.-S. Chen

“…This engine was numerically investigated using a CFD tool that can handle reacting flow with finite-rate chemistry and coupled with the real-fluid model. …”
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Two-step skeletization of binary images based on the Zhang-Suen model and the producing mask by J., Ma, V. Yu. Tsviatkou, V. K. Kanapelka

“…The aim of the work is to limit excessive thinning and increase the resistance to contour noise of skeletons resulted from arbitrary binary image shape while maintaining a high skeletonization rate. The skeleton is a set of thin lines, the relative position, the size and shape, which conveys information of size, shape and orientation in space of the corresponding homogeneous region of the image. …”
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Revisiting biomarker discovery by plasma proteomics by Philipp E Geyer, Lesca M Holdt, Daniel Teupser, Matthias Mann

“…However, existing biomarkers are far from comprehensive and often lack specificity and new ones are being developed at a very slow rate. As described in this review, mass spectrometry (MS)‐based proteomics has become a powerful technology in biological research and it is now poised to allow the characterization of the plasma proteome in great depth. …”
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Estimating the Impact of Technical Barriers to Trade in WTO Regime: The Case of Pakistan by Amir Mustafa, Ihtsham Ul Haq Padda, Sadia Safdar

“…The findings depict that GDP of Pakistan and partners, exchange rate, tariff, distance, and contiguity are vital factors; along with TBT cases initiated by Pakistan have also impacted import from WTO members. …”
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NEW POSSIBILITIES OF RADIOLOGIC DIAGNOSTICS OF BREAST CANCER by A. B. Abduraimov, S. K. Ternovoy

“…Early breast cancer diagnosis is contemporary and actual problem due to the increase of breast cancer incidence and low detection rate of the disease.Multispiral computed tomography of mammary gland with intravenous contrast agent injection allows resolving diagnostic tasks aris- ing in patients with high density mammary gland tissue, considerable edema, fibrosis, postoperative conditions. …”
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LEFT VENTRICULAR WALL THICKNESS AND AUTONOMIC REGULATION IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY by O. Allaberganov, T. A. Abdullaev, G. A. Nagaeva

“…In addition, Group II patients demonstrated autonomic disbalance, sympathetic hyperactivity, and disturbed circadian patterns of heart rate.…”
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The Convallis rule for unsupervised learning in cortical networks. by Pierre Yger, Kenneth D Harris

“…Implementation of the rule caused a recurrent cortex-like network of simulated spiking neurons to develop rate representations of real-world speech stimuli, enabling classification by a downstream linear decoder. …”
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