Efficiency and safety of peripheral regional anesthesia application in urgent traumatology by O. A. Lovkin, V. I. Pertsov, K. I. Lurie

“…In all statistical calculations, P < 0.05 was the level of significance. Data processing was performed using Statistica 10.0 software. …”
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Identification of Patients With Congestive Heart Failure From the Electronic Health Records of Two Hospitals: Retrospective Study by Daniel Sumsion, Elijah Davis, Marta Fernandes, Ruoqi Wei, Rebecca Milde, Jet Malou Veltink, Wan-Yee Kong, Yiwen Xiong, Samvrit Rao, Tara Westover, Lydia Petersen, Niels Turley, Arjun Singh, Stephanie Buss, Shibani Mukerji, Sahar Zafar, Sudeshna Das, Valdery Moura Junior, Manohar Ghanta, Aditya Gupta, Jennifer Kim, Katie Stone, Emmanuel Mignot, Dennis Hwang, Lynn Marie Trotti, Gari D Clifford, Umakanth Katwa, Robert Thomas, M Brandon Westover, Haoqi Sun

“…The estimated overall error rate in a random EHR sample was 1.6%. The model also showed high external validity from training on Mass General Hospital data and testing on Beth Israel Deaconess Medical Center data (AUROC 0.927, 95% CI 0.908-0.944) and vice versa (AUROC 0.968, 95% CI 0.957-0.976). …”
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Multiple-Fault Diagnosis Method Based on Multiscale Feature Extraction and MSVM_PPA by Min Zhang, Zhenyu Cai, Wenming Cheng

“…In this paper, a novel method called multiscale feature extraction (MFE) and multiclass support vector machine (MSVM) with particle parameter adaptive (PPA) is proposed. MFE is used to preprocess the process signals, which decomposes the data into intrinsic mode function by empirical mode decomposition method, and instantaneous frequency of decomposed components was obtained by Hilbert transformation. …”
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Pricing Zero-Coupon Catastrophe Bonds Using EVT with Doubly Stochastic Poisson Arrivals by Zonggang Ma, Chaoqun Ma, Shisong Xiao

“…By using the Property Claim Services (PCS) loss index data from 2001 to 2010 provided by the US Insurance Services Office (ISO), the empirical result reveals that the BDT arrival rate process is superior to the nonhomogeneous Poisson and lognormal intensity process due to its smaller RMSE, MAE, MRPE, and U and larger E and d. …”
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Dynamic Path Planning for Unmanned Autonomous Vehicles Based on CAS-UNet and Graph Neural Networks by Yuchu Ji, Rentong Sun, Yang Wang, Zijian Zhu, Zhenghao Liu

“…Our proposed model integrates CAS-UNet and Graph Neural Network (GNN), and, by introducing a dynamic edge enhancement module and a dynamic edge weight update module, it improves the accuracy of obstacle boundary recognition in complex scenarios and adaptively changes the influence of different edges during the information transmission process. We generate data through online trajectory optimization to enhance the model’s adaptability to dynamic environments. …”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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Characteristics of Surface Soil Moisture Drydown in the Heihe River Basin by Shiyu DONG, Zhongli ZHU, Ziwei XU, Shaomin LIU, Linna CHAI

“…The process of soil drying is referred to as soil moisture drydown.It usually occurs after precipitation， especially for surface soil， and we address this process in three dominant regimes： gravity drainage， energy-limited regime and water-limited regime.The Heihe River Basin originates from the Qilian Mountains， and the landscape zonality here is clear from its upstream， midstream and downstream.By exploring the characteristics of surface soil moisture drydown in this area， researchers were able to understand the patterns and factors associated with soil evaporation under different conditions.The soil drydown events were investigated using data on soil moisture， soil temperature， and air temperature collected between 2016 and 2020 from 10 meteorological observation stations located in the Heihe River Basin.The relationships between soil moisture （SM）， potential evaporation （PE）， the normalized difference vegetation index （NDVI）， soil texture and surface soil drying rates were explored.Using the exponential model for fitting drydown events， the seasonal variation of the drying rate at each site was compared.Results showed that： （1） There were 362 effective drydown episodes between 2016 and 2020， totaling 3584 days.After entering the drydown stage， as the soil gradually became dry， the drying rate also slowed down and became stable after 12 days.The upstream site settled around 0.04 cm3·cm-3·day-1， whereas the middle and downstream sites tended to 0.（2） In upstream， midstream， and downstream， the values of surface soil moisture evaporation efficiency （90%） are lower than 0.25， 0.15， and 0.12， respectively， which can only partially meet atmospheric demand.The evaporation efficiency may be close to 1 if the evapotranspiration of soil profiles below 5 cm is taken into account.（3） Because the surface soil in upstream locations of the Heihe River is relatively wet， the soil drydown process is limited by the atmosphere.The middle and lower reaches of the Heihe River are drier and limited by water.As for the surface soil evaporation rate， the upstream was mainly affected by atmospheric water demand； it increases along with PE.When SM exceeded 0.4 cm3·cm-3， PE and SM had no significant impact on soil drying rate.In the middle and downstream of the Heihe River， the soil evaporation rate increases with SM.In comparison to upstream， the impact of PE on soil evaporation rate is less significant.（4） The type of vegetation and the dry and wet states of the soil both affect how quickly the surface SM dries； the drying rate is very slightly influenced by soil texture.（5） The drydown events fitted by the exponential model have distinct season features.The highest drying rate （τ）， the highest drying range （A）， and the lowest lower limit of soil moisture （θw） were observed in summer.As for desert region， θw is more affected by precipitation and is higher in the summer.For the entire basin， the drying rate of surface soil moisture from high to low was summer， spring， autumn， and the seasonal variability of drying rate increased with the change in surface coverage （meadow， farmland， shrub）.…”
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Optimization design and experiment of key components of mountain pendulum-lever cam type hole seeders based on DEM-MBD coupling simulation. by Lijun Zhao, Wenke Yin, Bin Yang, Xin Hu, Chuandong Liu, Zihuan Li, Lian Gong, Qiang Li, Bin Li, Shang Li

“…The reseeding rates were 3.58% and 2.35%, while the missed seeding rates were 1.23% and 1.58%. …”
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Business Intelligence Model of Regional Hospitals using HGOD Discovery by Hengki Hengki, Rahmat Gernowo, Oky Dwi Nurhayati

“…Based on data from the Regional General Hospital in the Bangka Belitung Islands province, the Gross Death Rate (GDR) is the general death rate for every 1000 patients discharged of 108,430 compared to the health department standard of <45. …”
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Functional MRI Assessment of Brain Activity Patterns Associated with Reading in Medulloblastoma Survivors by Josue L. Dalboni da Rocha, Ping Zou Stinnett, Matthew A. Scoggins, Samuel S. McAfee, Heather M. Conklin, Amar Gajjar, Ranganatha Sitaram

“…While recent advancements in treatment have significantly improved survival rates, survivors often face cognitive impairments, particularly in reading, impacting their quality of life. …”
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Advancing personalized medicine in digital health: The role of artificial intelligence in enhancing clinical interpretation of 24-h ambulatory blood pressure monitoring by Sreyoshi F. Alam, Charat Thongprayoon, Jing Miao, Justin H. Pham, Mohammad S. Sheikh, Oscar A. Garcia Valencia, Gary L. Schwartz, Iasmina M. Craici, Maria L. Gonzalez Suarez, Wisit Cheungpasitporn

“…Background: The use of artificial intelligence (AI) for interpreting ambulatory blood pressure monitoring (ABPM) data is gaining traction in clinical practice. Evaluating the accuracy of AI models, like ChatGPT 4.0, in clinical settings can inform their integration into healthcare processes. …”
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Peculiarities of the Spread of HIV infection among Urban and Rural Residents of the Tyumen Region by E. N. Mel`nikova, A. N. Marchenko

“…A specific feature of the spread of HIV infection among urban and rural residents is the tendency to exceed the regional incidence rate in a number of territories. Analysis of epidemiological data for the period under review showed that all territories of the region are involved in the epidemiological process of HIV infection, and in a number of territories the prevalence rate exceeds the average Russian level. …”
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Computational Fluid Dynamic (CFD) Analysis of Tray Dryer Performance for Turmeric Rhizome Drying by Duc T. Le, Nhu V.P Le, Yen H.P Duong, Tan M. Le, Viet T. Tran

“…The simulation results for the evaporation rate of the drying material and drying temperatures were compared to experimental data and found to be in excellent agreement. …”
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How many children have parents with gambling disorder – a Germany-based estimate by Nina Stefan, Larissa Schwarzkopf, Sven Buth, Gerhard Meyer, Andreas M. Bickl

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Noise Cancellation Method for Mud Pulse Telemetry Based on Discrete Fourier Transform by Jingchen Zhang, Zitong Sha, Xingbin Tu, Zhujun Zhang, Jiang Zhu, Yan Wei, Fengzhong Qu

“…Mud pulse telemetry (MPT) systems are widely recognized for their effectiveness and are most commonly used to transmit downhole data to the surface in real time. These data facilitate the drilling process and make it more cost-efficient. …”
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Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

“…Diseases are major causes for increasing mortality rates. Clinical data analysis must predict cardiovascular disease. …”
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Quantifying Soil Erosion in Drought-Impacted Central Odisha, India, through Geospatial Mapping with RUSLE by Asit Kumar Dandapat, Prafulla Kumar Panda, Sovan Sankalp, Muralitharan Jothimani

“…The erosion computation process entails utilizing the digital elevation model (DEM), Landsat-9 imagery, and soil data from several sources accessible in different forms and scales. …”
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Conversion of Carbon Dioxide into Solar Fuels Using MgFe₂O₄ Thermochemical Redox Chemistry by Rahul R. Bhosale

“…One of the study’s primary goals was to examine the impact of the inert sweep gas’s molar flow rate on the process parameters related to the MgFe₂O₄/CDS cycle. …”
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Research on Dehumidification Performance of a Cooling Dehumidifier with a MultistageMatrix Structure by Cheng Xingwang, Wu Qiaoxian, Fang Song, Rong Yangyiming, Zhou Xia, Zhi Xiaoqin, Wang Kai, Qiu Limin, Yuan Yijun

“…A steady-state numerical model of heat and mass transfer process in the dehumidifier was established and verified using the experimental data. …”
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