Artificial intelligence in automatic image segmentation system for exploring recurrence patterns in small cell carcinoma of the lung by Jing Shen, Shaobin Wang, Hui Guan, Mingyi Di, Zhikai Liu, Qi Chen, Mei Li, Jie Shen, Ke Hu, Fuquan Zhang

“…From this, a recurrence prediction model for small cell lung cancer was developed using a random forest algorithm, achieving a clinically significant accuracy rate of 77%. This model provides a reliable basis for enhancing the clinical application and decision-making process for medical practitioners.ConclusionThe utilization of AI-based automatic image segmentation system for delineating the initial CTV has proven pivotal. …”
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An efficient 3D column-only P300 speller paradigm utilizing few numbers of electrodes and flashings for practical BCI implementation. by Onur Erdem Korkmaz, Onder Aydemir, Emin Argun Oral, Ibrahim Yucel Ozbek

“…Using the proposed paradigm, the best average classification accuracy rates on the test data are improved from 89.97% to 93.90% (an improvement of 4.36%) for 1 flashing, from 97.11% to 98.10% (an improvement of 1.01%) for 3 flashings and from 99.70% to 99.81% (an improvement of 0.11%) for 15 flashings when all electrodes, included in the study, are utilized. …”
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Effects of Thawing Method on Palatability Traits, Quality Attributes, and Thawing Characteristics of Beef Steaks by Erin Beyer, Jessie Vipham, Lindsey K Decker, Michael Chao, Morgan Zumbaugh, Travis G. O'Quinn

“…Paired beef strip loins (n = 15 pairs) were obtained from a commercial processing facility for palatability evaluation, and 6 additional strip loins were collected for thawing characteristic data. …”
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Application of Acoustic Emission Technique in Landslide Monitoring and Early Warning: A Review by Jialing Song, Jiajin Leng, Jian Li, Hui Wei, Shangru Li, Feiyue Wang

“…Despite the challenges posed by high attenuation in geological materials, ongoing advancements in sensor technologies, data acquisition systems, and signal processing techniques are addressing these limitations, paving the way for the widespread adoption of AE-based early warning systems. …”
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Insights into Phase Transformations during Selective Laser Melting of Ti6Al4V: A Numerical Approach by Gasser Abdelal, Daniel Higgins, Chi-Wai Chan, Brian Falzon

“…The thermal history of the SLM process was simulated using Finite Element Analysis (FEA) in Abaqus, which provided the temperature distribution and cooling rates experienced by the material. …”
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Behavioral and neurofunctional profiles of delay aversion in children with attention-deficit hyperactivity disorder by Pilar Fernández-Martín, Daniela Tovar-Suárez, Rocío Rodríguez-Herrera, José J. León, Rosa Cánovas, Pilar Flores

“…External validation analyses included parents’ and teachers’ clinical ratings, and fNIRS-based resting-state functional connectivity (rsFC) from the frontoparietal (FPN) and the default mode (DMN) networks. …”
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Optical detection of single and multiple seeding using an innovative shape-recognition algorithm by Ali Ghaffarnezhad, Hossein Navid, Hadi Karimi

“…The results indicated a high level of agreement between the sensor data and the actual seed rates. The average counting accuracy for popcorn, hybrid corn, chickpea, pinto beans, coated tomato, mung beans, and soybean seeds on the conveyor belt platform was 0.99, 0.99, 0.98, 0.96, 0.8, 0.99, and 0.99, respectively. …”
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Mass Transfer of Dichloromethane from EU Retail Roast and Ground Decaffeinated Coffee into Prepared Beverages by Massimiliano Fabian, Oliver Süße-Herrmann, Gregory McGaffin, Johannes Hielscher

“…In the coffee sector, it is used as an extraction agent for the decaffeination process of green coffee beans. Due to its low boiling point, ranging at approx. 40 °C, DCM can be easily removed subsequent to caffeine extraction by applying state-of-the-art solvent stripping processes. …”
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LLM-Based Cyberattack Detection Using Network Flow Statistics by Leopoldo Gutiérrez-Galeano, Juan-José Domínguez-Jiménez, Jörg Schäfer, Inmaculada Medina-Bulo

“…These results collectively demonstrate superior performance for cyberattack detection, while maintaining highly competitive false-positive rates and false-negative rates. This efficacy is achieved by relying exclusively on real-world network flow statistics, without the need for synthetic data generation.…”
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Global surgery, obstetric, and anaesthesia indicator definitions and reporting: An Utstein consensus report. by Justine I Davies, Adrian W Gelb, Julian Gore-Booth, Janet Martin, Jannicke Mellin-Olsen, Christina Åkerman, Emmanuel A Ameh, Bruce M Biccard, Geir Sverre Braut, Kathryn M Chu, Miliard Derbew, Hege Langli Ersdal, Jose Miguel Guzman, Lars Hagander, Carolina Haylock-Loor, Hampus Holmer, Walter Johnson, Sabrina Juran, Nicolas J Kassebaum, Tore Laerdal, Andrew J M Leather, Michael S Lipnick, David Ljungman, Emmanuel M Makasa, John G Meara, Mark W Newton, Doris Østergaard, Teri Reynolds, Lauri J Romanzi, Vatshalan Santhirapala, Mark G Shrime, Kjetil Søreide, Margit Steinholt, Emi Suzuki, John E Varallo, Gerard H A Visser, David Watters, Thomas G Weiser

“…<h4>Methods and findings</h4>The Utstein process for developing and reporting guidelines through a consensus building process was followed. …”
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Azithromycin and oesophageal motility in chronic respiratory disease: a feasibility study by Dominic L. Sykes, Kayleigh Brindle, Rohan Menon, Simon P. Hart, Jennifer Nielsen, Warren Jackson, John Gallagher, Elisabeth Kirton, Mengru Zhang, Alyn H. Morice, Michael G. Crooks

“…Feasibility outcomes pertaining to recruitment, data quality, and acceptability of trial processes were assessed. …”
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‘Did I pass the licensing exam?’ aspects influencing migrant physicians’ results: a mixed methods study by Linda Sturesson, Andreas Heiding, Terese Stenfors

“…Objectives Migrant physicians (MPs) who wish to practise their profession in a new country often must undergo a recertification process, including a licensing exam. In many cases, this is the same licensing exam used for peers educated within the country; however, the pass rate of MPs is usually lower. …”
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Atlantodentoplasty using the anterior retropharyngeal approach for treating irreducible atlantoaxial dislocation with atlantodental bony obstruction: a retrospective study by Jia Shao, Yun Peng Han, Yan Zheng Gao, Kun Gao, Ke Zheng Mao, Xiu Ru Zhang

“…Details including surgical duration and blood loss volume were recorded. Radiographic data such as the anterior atlantodental interval, O–C2 angle, space available for the cord, clivus–canal angle, and cervical medullary angle, and clinical data including the Japanese Orthopedic Association (JOA) score were assessed. …”
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Exploring potential therapeutic targets for small cell lung cancer based on transcriptomics combined with Mendelian randomization analysis by Zhicheng Liao, Pengcheng Jia, Yifan Li, Zhihui Zheng, Jizhou Zhang

“…ObjectiveThe main objective of this study was to explore and identify new genetic targets in small-cell lung cancer (SCLC) through transcriptomics analysis and Mendelian randomization (MR) analysis, which will help in the subsequent development of new therapeutic interventions.MethodsIn this study, we extracted the SCLC dataset from the Gene Expression Omnibus (GEO) database, processed the data, and screened out differentially expressed genes (DEGs) using R software. …”
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Ensemble Learning-Based Metamodel for Enhanced Surface Roughness Prediction in Polymeric Machining by Elango Natarajan, Manickam Ramasamy, Sangeetha Elango, Karthikeyan Mohanraj, Chun Kit Ang, Ali Khalfallah

“…First, a classifier (Logistic Regression or XGBoost, selected based on performance) categorizes machining data into distinct regimes based on cutting Speed (Vc), feed rate (f), and depth of cut (ap) as inputs. …”
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Analysis of 2018 hemodialysis registration and result from Kiangwu Hospital in Macau by TANG Jing, OU YANG Zi-hua, CAI Zong-yang, XUAN Wei-zhen, TAO Tao, WU Jian-xun, PENG Li

“…Objective To investigate the current status of hemodialysis in our hospital by analyzing the hemodialysis registration and the results in 2018.Methods According to the requirements for hemodialysis registration,the clinical data of those patients undergoing HD in our hospital from January 1 st,2018 to December 31 th,2018 were collected and statistically processed and analyzed,by utilizing the Hemodialysis Intelligent Data System.Some of the data were also compared with those in 2008 and 2015.Results There were total 552 patients during 2018,with an increase of 103.7% over 2008 and 6.4% over 2015.Diabetic nephropathy was the first primary cause accounting for 42.6%.98.2% of the patients had permanent vascular access,including autogenous AVF 61.2%,AVG 5.1% and PC in the central vein 28.1%.The mean of dialysis adequacy(Kt/V)was(1.7±0.3),which was significantly higher than that in 2008 and 2015,with statistical difference between the two(P<0.05).The normality rate of kt/V was 96.5%.The mean hemoglobin(Hb)was(102.7±12.4)g/L which was similar to that in 2008(P>0.05),which was lower than that in 2015(P<0.05).70% of the patients had blood calcium(Ca)2.1～2.4 mmol/L,28.3% of them had blood phosphorus(P)>1.78 mmol/L,25.5% of them had intact parathyroid hormone(iPTH)150～300 ng/L.The annual mortality in 2018 was 5.8%,and among the death causes malignant tumor accounted for about 34.4% and cardiovascular mortality accounted for about 28.1%.Conclusions From 2008 to 2018, the number of HD patients in our hospital had been increasing year by year. …”
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A proposed algorithm for early autism screening in Polish primary care settings – a pilot study by Patryk Domarecki, Katarzyna Plata-Nazar, Wojciech Nazar

“…Abstract Background The rising rate of autism spectrum disorder (ASD) prevalence worldwide demands new screening algorithms to make the process of diagnosis more effective. …”
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Building a Software System Using a Spiral Model to Evaluate the Overall Risk of Projects Using Fuzzy Number Theory by Jamal Sayed Majeed, Ro’a Amer Hussain

“…This research depended on EA tool (Enterprise Architect) that building by a company (Sparex Systems) for represent the processes of stages to analysis because it is the basis currently used in the world and the most prevalent and most recently the base idea for this work is found the rate of aggregative risk in project by used fuzzy model for fuzzy number by follow Lee's algorithm. …”
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Mapping residual malaria transmission in VietnamResearch in context by Michael A. McPhail, Yalemzewod Assefa Gelaw, Xuan Thang Nguyen, Win Han Oo, Freya J.I. Fowkes, Duc Thang Ngo, Thi Hong Phuc Nguyen, Tasmin L. Symons, Dan J. Weiss, Peter W. Gething

“…Methods: Case data from 2019 to 2022 was used to train a range of network and geostatistical models, from which strategically useful metrics were computed. …”
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Fast Decision Making of Point Cloud Video Geometry CU Partition Based on Occupied Pixels by Fengqin Wang, Juanjuan Jia, Qiuwen Zhang

“…The experimental results show that when the proposed method is used to process different dynamic point clouds in All Intra (AI) configuration, the average time of geometric graph obtained after coding is saved by 62.76%, while the BD-TotalRate only increases by 0.04% and 0.10%. …”
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