Adaptive Multi-Scale Bayesian Framework for MFL Inspection of Steel Wire Ropes by Xiaoping Li, Yujie Sun, Xinyue Liu, Shaoxuan Zhang

“…Our approach integrates discrete wavelet transform with adaptive thresholding and multi-scale feature fusion, enabling simultaneous detection of minute defects and large-area corrosion. …”
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Heart disease prediction using ECG-based lightweight system in IoT based on meta-heuristic approach by Amin Abbaszadeh, Mahdi Bazargani

“…At the classification stage, the two-stage learning system is used to classify cardiac arrhythmias. …”
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Predicting deep infection in pilon and tibial plateau fractures: a secondary analysis of the VANCO and OXYGEN trials by Archie L. Overmann, MD, Anthony R. Carlini, MS, Robert V. O'Toole, MD, Renan C. Castillo, PhD, Nathan N. O'Hara, PhD, MHA, METRC, Eben A. Carroll, MD, James Brett Goodman, MBA, Martha B. Holden, , AAS, AA, Anna N. Miller, MD, Amanda Spraggs-Hughes, PhD, Michael L. Brennan, MD, Paul Tornetta, III, MD, Patrick M. Osborn, MD, Jessica C. Rivera, MD, PhD, Clinton K. Murray, MD, Joseph E. Kimmel, MS, Michael J. Bosse, MD, Joseph R. Hsu, MD, Madhav A. Karunakar, MD, Laurence B. Kempton, MD, Rachel B. Seymour, PhD, Stephen H. Sims, MD, Christine Churchill, MA, Debra L. Sietsema, PhD, RN, Ida Leah Gitajn, MD, MS, Rachel M. Reilly, MD, Robert D. Zura, MD, Cameron Howes, BA, Hassan Mir, MD, MBA, Michael J. Weaver, MD, Marilyn Heng, MD, MPH, Thuan V. Ly, MD, Emily A. Wagstrom, MD, Jerald R. Westberg, MPH, BA, Brian H. Mullis, MD, Jeffrey O. Anglen, MD, Leilani S. Mullis, MD, Karl D. Shively, MD, Todd O. McKinley, MD, Roman M. Natoli, MD, PhD, Anthony Sorkin, MD, Lauren C. Hill, BS, CCRC, Robert A. Hymes, MD, Greg E. Gaski, MD, A. Stephen Malekzadeh, MD, Lolita Ramsey, PhD, RN, Jeff E. Schulman, MD, Cary C. Schwartzbach, MD, Robert A. Sikorski, MD, Olivia C. Lee, MD, Peter C. Krause, MD, Joshua L. Gary, MD, Timothy S. Achor, MD, Andrew Choo, MD, John W. Munz, MD, Sterling J. Boutte, BS, Matthew C. Galpin, CCRC, H. Michael Frisch, MD, Adam M. Kaufman, MD, C. Michael LeCroy, MD, Christopher S. Smith, MD, Alec C. Stall, MD, MPH, Andrea Horne, MA, CCRP, Robert V. O'Toole, MD, Manjari Joshi, MBBS, Jason W. Nascone, MD, Nathan N. O'Hara, PhD, MHA, Marcus F. Sciadini, MD, Gerard P. Slobogean, MD, Andrea L. Howe, BS, Roman Hayda, MD, Andrew R. Evans, MD, Stanislaw P. Stawicki, MD, MBA, Thomas R. Wojda, MD, MBA, Michael J. Gardner, MD, Julius A. Bishop, MD, Saqib Rehman, MD, MBA, Cyrus Caroom, MD, Elizabeth Sheridan, MPH, MACPR, Theodore Miclau, MD, Saam Morshed, MD, PhD, Thomas F. Higgins, MD, Justin M. Haller, MD, Clay A. Spitler, MD, Massimo Max Morandi, MD, FACS, Paul Edward Matuszewski, MD, Arun Aneja, MD, PhD, Patrick F. Bergin, MD, Eldrin Bhanat, MD, MPH, Matt L. Graves, MD, John Morellato, MBBS Hons, David Teague, MD, William Ertl, MD, Jaimo Ahn, MD, PhD, Gele B. Moloney, MD, John C. Weinlein, MD, Boris A. Zelle, MD, Animesh Agarwal, MD, Ravi A. Karia, MD, Ashoke Sathy, MD, Drew Sanders, MD, MPH, David B. Weiss, MD, Seth R. Yarboro, MD, Veronica Lester-Ballard, MSN, Eric D. McVey, MEd, CCRP, Reza Firoozabadi, MD, MA, Arman Dagal, MD, FRCA, Conor P. Kleweno, MD, Julie Agel, MA, Paul S. Whiting, MD, Natasha M. Simske, BS, Alexander B. Siy, BS, William T. Obremskey, MD, MPH, Basem Attum, MD, Eduardo J. Burgos, MD, Vamshi Gajari, MBBS, A. Alex Jahangir, MD, Andres Rodriguez-Buitrago, MD, Manish Sethi, MD, Daniel J. Stinner, MD, PhD, Rajesh R. Tummuru, MBBS, MBA, Karen M. Trochez, MA, BS, Jean-Claude G. D'Alleyrand, MD, MSE, Lauren E. Allen, DrPH, Anthony R. Carlini, MS, Susan C. Collins, MSc, Yanjie Huang, ScM, Tara J. Taylor, MPH

“…Deep SSI occurred in 75 VANCO patients (8%) and in 56 OXYGEN patients (6%). The machine learning model for VANCO (AUC = 0.65) and stepwise elimination model for OXYGEN (AUC = 0.62) had the highest internal validation AUCs. …”
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Identifying the factors affecting the growth of the employees of the country's property and documents registration organization by Najmeh Ahmadi, Kolsoum Nami, Nader Ghourchian, Parivash Jafari

“…Through the personal growth, the employees begin to create a friendly relationship with colleagues, participation and interaction with them; also help their colleagues and their health and well-being, and try to establish a friendly relationship with organizational managers and raise the threshold of their work tolerance; but in the dimension of professional growth, they often focus on the place of activities of service, education, learning, and professional growth. …”
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Design of an Electronic Nose System with Automatic End-Tidal Breath Gas Collection for Enhanced Breath Detection Performance by Dongfu Xu, Pu Liu, Xiangming Meng, Yizhou Chen, Lei Du, Yan Zhang, Lixin Qiao, Wei Zhang, Jiale Kuang, Jingjing Liu

“…Regarding this issue, this study proposes a novel electronic nose system and employs a threshold control method based on exhaled gas flow characteristics to design a gas collection module. …”
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Adaptive high frequency data streaming for Soft Real-Time Industrial AI: A scalable microservices based architecture with dynamic downsampling by Telmo Fernández De Barrena, Alcides Fernandes, Juan Luis Ferrando, Ander García, Hugo Landaluce, Ignacio Angulo

“…This paper presents a novel IoT architecture wherein an Edge server dynamically down-samples sensor data before transmission to a Fog (central) server equipped with upsampling, feature extraction, machine learning (ML) inference, and network latency analysis services. …”
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Performance of Large Language Models in the Non-English Context: Qualitative Study of Models Trained on Different Languages in Chinese Medical Examinations by Zhong Yao, Liantan Duan, Shuo Xu, Lingyi Chi, Dongfang Sheng

“…In few-shot learning, all models exceeded the passing threshold. …”
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In Vivo Evaluation of the Analgesic and Anti-Inflammatory Activity of <i>Thymus numidicus</i> Essential Oil by Ouardia Chaouchi, Velislava Todorova, Stanislava Ivanova, Elizabet Dzhambazova, Farida Fernane, Nacira Daoudi Zerrouki, Lyudmil Peychev, Kremena Saracheva, Michaela Shishmanova-Doseva, Zhivko Peychev

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In vivo variability of MRI radiomics features in prostate lesions assessed by a test-retest study with repositioning by Kevin Sun Zhang, Christian Jan Oliver Neelsen, Markus Wennmann, Thomas Hielscher, Balint Kovacs, Philip Alexander Glemser, Magdalena Görtz, Albrecht Stenzinger, Klaus H. Maier-Hein, Johannes Huber, Heinz-Peter Schlemmer, David Bonekamp

“…Abstract Despite academic success, radiomics-based machine learning algorithms have not reached clinical practice, partially due to limited repeatability/reproducibility. …”
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Mechanism of Electroacupuncture on Neuropathic Pain via Regulation of CD137L in Hippocampal Glia by ZHENG Changyue, LAN Yanyan, HUANG Qiuling, JIANG Menghong, WANG Zhifu

“…Von-Frey pain detector was used to measure the mechanical withdrawal threshold of rats. On the 28th day after modeling, new object recognition test was used to detect the learning and memory ability. …”
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Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

“…Threshold adjustment reduced bias across 8/9 trials; reject option classification and calibration reduced bias in approximately half of trials (5/8 and 4/8). …”
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A cost-effective protocol for detecting fluorescent microplastics in arable soils to study redistribution processes by Saunak Sinha Ray, David Zumr, Florian Wilken, Tomáš Dostál, Peter Fiener

“…Subsequent darkroom photography under 365 nm illumination, and thresholding and segmentation-based image analysis were done. …”
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Leveraging network uncertainty to identify regions in rectal cancer clinical target volume auto-segmentations likely requiring manual edits by Federica C. Maruccio, Rita Simões, Joëlle E. van Aalst, Charlotte L. Brouwer, Jan-Jakob Sonke, Peter van Ooijen, Tomas M. Janssen

“…Background and Purpose: While Deep Learning (DL) auto-segmentation has the potential to improve segmentation efficiency in the radiotherapy workflow, manual adjustments of the predictions are still required. …”
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3D printed training model with sensorized arachnoid for endoscopic transsphenoidal surgery: development and initial validation by Giacomo Santona, Antonio Fiorentino, Francesco Doglietto, Mauro Serpelloni

“…Conclusions: The collected data allowed the definition of the force threshold values for the risk of CSF leak. The maximum force exerted by surgeons is 0.526 N. …”
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On the dynamics of ozone depletion events at Villum Research Station in the High Arctic by J. B. Pernov, J. B. Pernov, J. B. Pernov, J. L. Hjorth, L. L. Sørensen, H. Skov

“…Here, we comprehensively analyze ozone, ODEs, and their connection to meteorological and air mass history variables through statistical analyses, back trajectories, and machine learning (ML) at Villum Research Station, Station Nord, Greenland, from 1996 to 2019.…”
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Corn Seed Freezing Damage Identification of Different Sides Based on Hyperspectral Imaging and SPA-2DCOS Fusion Algorithm by Jun Zhang, Limin Dai, Ruiyuan Zhuang

“…In order to improve the utilization efficiency of corn seeds and meet the demand of single-seed seeding technology in agriculture, this study was conducted to explore the effect of freezing damage detection on the endosperm and embryo sides of single corn seeds, based on hyperspectral imaging combined with a feature fusion algorithm and a machine learning method. First, hyperspectral image data of the endosperm and embryo sides of three freezing damage categories of corn seeds were collected, and the average spectra of the endosperm part and embryo part were obtained by threshold segmentation. …”
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Simplifying Two-Stage Object Detectors for On-Board Remote Sensing by Jaemin Kang, Hoeseok Yang, Hyungshin Kim

“…Deep learning has been applied to object detection in remotely sensed images. …”
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Research progress on the method of determining gas–water relative permeability curve in unconventional reservoirs by Sijie He, Feifei Fang, Kun Song, Xizhe Li, Jie Zhang, Jianqi Cao, Yu Wang, Xiaoliang Huang, Chaoliang Bian

“…Future research should accelerate the development and release of standards for determining relative permeability curves in unconventional reservoirs, continuously improve the reliability verification scheme for relative permeability curve indirect calculation methods in unconventional reservoirs, and actively explore the gas–water relative permeability curve determination method based on machine learning.…”
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Cohort study of hospitalists’ procedural skills: baseline competence and durability after simulation-based training by Grace C Huang, Jakob I McSparron, Caleb Hale, Jonathan Crocker, Anita Vanka, Daniel N Ricotta

“…Immediately after SBML, 100% of hospitalists reached this threshold. Reassessment an average of 7 months later revealed that only 40% of hospitalists achieved the MPS. …”
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Modeling seismic hazard and landslide occurrence probabilities in northwestern Yunnan, China: exploring complex fault systems with multi-segment rupturing in a block rotational tec... by J. Cheng, C. Xu, X. Xu, S. Zhang, P. Zhu

“…Furthermore, we utilized PGA values with the Bayesian probability method and a machine learning model to predict landslide occurrence probabilities as a function of our PGA distribution map. …”
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