A combined comfort and safety-based approach to assess the performance of advanced driver assistance functions by Michelangelo-Santo Gulino, Giulio Vichi, Federica Cecchetto, Luigi Di Lillo, Dario Vangi

“…By analyzing the behavior of autonomous steering and braking functions in a simulation environment as ADAS parameters are varied (i.e., the time between consecutive scans of the scenario by sensors and the time for full actuation of drive-by-wire systems), it becomes possible to compare performances of different types of intervention logic. …”
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Derivation of pressure distribution models for horizontal well using source function by J.O. Oloro, E.S. Adewole

“…NOMENCLATURE ye= distance to the external boundary in y-direction hD= dimensionless height xe= distance to the external boundary in x-direction xD= arbitrary dimensionless distance along the x axis ze= distance to the external boundary in z-direction yD = arbitrary dimensionless distance along the y axis zw = Well coordinate in z-direction zD = arbitrary dimensionless distance along the z axis yw = Well coordinate in y-direction τ= dummy integration dimensionless time variable xw = Well coordinate in x-direction ɳ= diffusivity constant1 t = Time Keywords: Source function, Horizontal well, Reservoir, Boundary …”
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Mathematical methodology for defining a frequent attender within emergency departments by Elizabeth Williams, Elizabeth Williams, Syaribah N. Brice, Syaribah N. Brice, Dave Price

“…While most studies used frequency of attendance to define the FA, the derivation of the frequency is not clear.MethodsWe propose a mathematical methodology to define the time interval between ED returns for classifying FAs. …”
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General practitioners’ attitude and performance about the diagnosis and treatment of depressive disorder by Asadolah Mosavi, Mandana Shirazi, Roghayeh Gandomkar, Hafez Mohamadhoseinpour, Rita Mojtahed Zadeh, Ardashir Afrasiabifar

“…Background: Despite the high prevalence of depression and the need for timely diagnosis and treatment, research results show different and sometimes contradictory attitudes and practices among general practitioners about depressed patients. …”
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Measurement and Analysis of PM10 and PM2.5 from Chimneys of Coal-fired Power Plants Using a Light Scattering Method by Dongho Shin, Younghun Kim, Kee-Jung Hong, Gunhee Lee, Inyong Park, Hak-Joon Kim, Yong-Jin Kim, Bangwoo Han, Jungho Hwang

“…To manage fine and coarse particles in the stacks themselves, it is necessary to know the concentration of fine and coarse particles emitted in real time; the current system to do so is tedious. In this study, a system for measuring PM2.5 and PM10 emitted from the stacks of power plants in real-time was developed, and measurements were performed on six coal-fired power plants. …”
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Lifting Techniques: Why Are We Not Using Evidence To Optimize Movement? by Nicholas B. Washmuth, Abby D. McAfee, C. Scott Bickel

“…The calm tissue down, build tissue up, improve work capacity framework offers an approach to determine the best lifting technique for an individual patient at any give time. # Level of Evidence 5…”
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Improved population coverage of the human papillomavirus vaccine after implementation of a school-based vaccination programme: the Singapore experience by Karuppiah Vijayalakshmi, Anne Hui Yi Goei

“…Methods: Fully subsidised HPV vaccinations were offered to all Secondary 1 female students on an opt-in basis, starting as a rollout dose in 2019. One-time catchup vaccination was also offered to female students in Secondary 2–5. …”
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High Prevalence of Low Back Pain in College Rifle Athletes by Bailey Urbach, Cody Mansfield, Mica Harr, Matthew S. Briggs, James Onate, Laura Boucher

“…# Background The sport of rifle places unique physical demands on its athletes relative to other collegiate sports, including maintaining lumbar-straining positions for extended time. Anecdotal reports of low back pain (LBP) are common among collegiate rifle athletes, but the prevalence of LBP in this population has not yet been established in the literature…”
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An estimation method of sound speed profile based on grouped dilated convolution informer model by Siyuan Qin, Yi Zhang, Zhou Chen

“…Traditional methods for acquiring SSP data are often time-consuming and costly. Machine learning techniques provide a more efficient alternative for SSP inversion, effectively addressing the limitations of conventional approaches.MethodsThis study proposes a novel SSP inversion model based on a grouped dilated convolution (GDC) Informer architecture. …”
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Carotid endarterectomy outcomes according to anesthesia method: General anesthesia or regional anesthesia? by Fehim Can Sevil, Serkan Gume, Mehmet Tort, Necip Becit

“…Also, patients who underwent RA stayed in ICU for a shorter period of time. CEA can be performed under both GA and RA with similar complication rates. …”
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Mainstreaming precast and block hempcrete—a carbon sequestering solution for the built environment by Pandwe Gibson

“…Hemp was used in Rome as far back as Julius Caesar’s time and in the sixth century when France was still Gaul. …”
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Experimental study on optimization of chemical oxygen demand reduction through advanced oxidation process for refinery-based oily sludge in Barmer Rajasthan, India by Rizwan Ul Haq, Hajari Singh, Mahendra Pratap Choudhary

“…The study demonstrates that acidic conditions (pH 1.5) and an optimized H₂O₂ dosage of 100 ml/L achieves a maximum COD reduction of 57%. Stirring time is found to significantly influence the treatment process, with 90 minutes of stirring under optimal conditions yielding the best results. …”
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Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence by You Fu, Fang Ren, Jiantao Lin

“…This model combines the Prophet time series model with Long Short-Term Memory (LSTM) networks to leverage their strengths in forecasting. …”
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Azo Dye Removal from Aqueous Solution by Powder Graphite: Investigation of Parameter Effects and Optimization by Box-Behnken Design by Sertel Görücü, Sevil Veli, Mesut Sezer, Çisil Gülümser

“…Adsorption study was carried out in batch mode and pH (2-10), adsorbent amount (0.1-1.5 g) and time (15-65 min) were designated as experimental parameters. …”
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Anticoagulation Management During ECMO: Narrative Review by Jaromir Vajter, Oksana Volod

“…Unfractionated heparin (UFH) remains the most commonly used anticoagulant, monitored via activated partial thromboplastin time (aPTT) or activated clotting time (ACT). Increasing attention is given to alternative tools like anti-Xa and viscoelastic assays (VEA), which offer potentially more reliable results. …”
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Two types of vidian neurectomy show efficacy in treating allergic rhinitis and vasomotor rhinitis by ShuJuan Sun, AiPing Chen, Li Shi, YuZhu Wan

“…The efficacy evaluations were used to assess patient rhinitis symptoms, quality of life and drug usage. The time points of follow-up period were preoperative, 3 months, 6 months, 1 year, 2 years, and 3 years post operation. …”
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Prone versus prone-flexed position in percutaneous nephrolithotomy: A randomized controlled trial by Diaa-Eldin Taha, Ali Ibrahim, Ahmed Zeid, Eslam Shokry, Tarek Abdelbaky, Hossam Nabeeh

“…The prone-flexed position enabled a somewhat shorter average operation time. The pelvicalyceal system could be more readily reached when the prone position was flexed.…”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…AI can optimize simulation codes where computational bottlenecks arise from the time required to generate forward models. One such example is PHOEBE, a modeling code for eclipsing binaries (EBs), where simulating individual systems is feasible, but analyzing observables for extensive parameter combinations is highly time consuming. …”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…This article explores the advanced architectures of deep learning and their application in healthcare IoT, emphasizing the enhancement of disease prediction models, medical image analysis, and real-time health monitoring systems. Deep learning’s capacity to handle vast and complex datasets by extracting high-level features and enabling predictive analytics is particularly beneficial in healthcare, where timely and accurate diagnosis can significantly influence treatment outcomes. …”
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Economic impact of fetal wastage and common diseases, along with their incidence rates and seasonal variations, at an abattoir in FCT, Nigeria. by Ibrahim Dauda Dauda, Abdulhakeem Binhambali, Abdurrahman Hassan Jibril, Zainab Oyiza Idris, Farhan Rhidor Akorede

“…The total economic impact of condemned organs and FW was 104,348 USD (equivalent to 99,130,600 NGN at the time of the study), representing a considerable threat to food security and substantial economic losses for farmers. …”
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