Determination of Ischemia Onset Based on Automatically Generated Spectralis SD-OCT Values in Acute Central Retinal Artery Occlusion by Maria Casagrande, Robert Kromer, Daniel A. Wenzel, Sven Poli, Martin S. Spitzer, Vasyl Druchkiv, Maximilian Schultheiss, Spyridon Dimopoulos

“…To enable examiner-independent and quicker diagnostics, we analyzed the RRTI using the automatic retinal thickness measurement. …”
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ENHANCING TOMATO LEAF DISEASE DETECTION THROUGH MULTIMODAL FEATURE FUSION by Puja SARAF, Jayantrao PATIL, Rajnikant WAGH

“…These results display the pros and cons of every classifier on the Plant Village dataset, giving vital data to improve plant disease classification and guide further research into precision farming and agricultural diagnostics. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…SensorDBSCAN demonstrates better performance on well-known and realistic datasets, reducing labeling requirements while maintaining high accuracy of fault detection and diagnostics. The code is available at <uri>https://github.com/K0mp0t/sensordbscan</uri>.…”
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Psychological and pedagogical prevention of teachers ' emotional burnout by Аnastasiya V. Dolgopolova, Anastasiya M. Manukhina

“…Based on the results of repeated diagnostics, the conclusion is made about the effectiveness of the conducted cycle of classes, which can be used in the practice of teachers-psychologists of any educational institutions.…”
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Pitting Detection and Characterization From Ultrasound Timelapse Images Using Convolutional Neural Networks by Magnus Wangensteen, Tonni Franke Johansen, Ali Fatemi, Erlend Magnus Viggen, Lars Eidissen Haugan

“…By recording multiple ultrasonic traces over time, 2-D timelapse images of ultrasonic reflectivity can be generated and fed into a trained neural network for pitting diagnostics. In general, training a machine-learning model requires a large training dataset. …”
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Evaluation of the longitudinal deformation of left ventricle and its changes in myocardial infarction and coronary heart disease with obstructive coronary artery lesions by N.V. Tytarenko, M.P. Kopytsya, I.V. Rodionova, A.V. Kobets

“…The review provides data on a new method of ultrasound diagnostics – speckle tracking echocardiography in the diagnosis of myocardial infarction and coronary heart disease with obstructive coronary artery lesions, the advantages of the global longitudinal strain (GLS) compared to the existing echocardiographic indicators of global systolic and segmental systolic function. …”
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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor by Omar AlShorman, Muhammad Irfan, Nordin Saad, D. Zhen, Noman Haider, Adam Glowacz, Ahmad AlShorman

“…Moreover, these techniques include signal/image processing, intelligent diagnostics, data fusion, data mining, and expert systems for time and frequency as well as time-frequency domains. …”
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Can “energy-saving and emission reduction” demonstration city pilot alleviate carbon inequality in Chinese cities? by Yong Fang, Minghao Li, Xueyan Chen, Chuyuan Wang

“…This conclusion withstood rigorous testing, including parallel trend assessments, robustness analyses, and endogeneity diagnostics. Moreover, the ameliorative implications of the ESER policy on carbon inequality in demonstration cities are predominantly realized by facilitating cleaner production technological innovation, end-of-pipe treatment technological innovation, industrial structure rationalization, and industrial structure optimization. …”
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Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification by Sabrina Napoletano, David Dannhauser, Paolo Antonio Netti, Filippo Causa

“…Beyond advancing the understanding of tumour biology, our step-by-step guide offers a robust tool for a wide range of users to investigate precise diagnostics and promising therapeutic strategies.…”
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Osteosarcoma enters a post genomic era with in silico opportunities: Generation of the High Dimensional Database for facilitating sarcoma biology research: A report from the Childr... by Jason Glover, Tsz-Kwong Man, Donald A Barkauskas, David Hall, Tanya Tello, Mary Beth Sullivan, Richard Gorlick, Katherine Janeway, Holcombe Grier, Ching Lau, Jeffrey A Toretsky, Scott C Borinstein, Chand Khanna, Timothy M Fan, COG Osteosarcoma Biology Group

“…In addition the identification and development of novel diagnostics and effective therapeutics remain elusive. …”
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Review of Short-Wavelength Infrared Flip-Chip Bump Bonding Process Technology by Junhao Du, Xuewei Zhao, Jiale Su, Ben Li, Xiangliang Duan, Tianyu Dong, Hongxiao Lin, Yuhui Ren, Yuanhao Miao, Henry H. Radamson

“…These advancements stimulate new prospects across a wide array of fields including life sciences, medical diagnostics, defense, surveillance, security, free-space optics (FSO), thermography, agriculture, food inspection, and LiDAR applications. …”
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Developing a curriculum on antimicrobial stewardship for pediatric residents: a needs assessment by Matthew M. Sattler, Sara Greer, Christine R. Lockowitz, Jason G. Newland, Evan E. Facer, Katie Wolfe

“…Only one topic was identified within the domains of antibiotic allergies, diagnostics, and AMR, reflecting 18%, 14%, and 6% of the potential topics within each domain, respectively. …”
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Simplified MS2 phage-like particle production including a novel maturation protein internal fusion affinity tag by Enos C. Kline, Rose Duong, Qin Wang, Barry R. Lutz

“…A consequential implementation of PLPs in diagnostics is as process controls in nucleic acid amplification tests, where control RNAs are packaged within the protein capsid and protected from degradation by RNases in the sample matrix. …”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“… In the evolving landscape of healthcare, the integration of deep learning within the Internet of Things (IoT) presents transformative potentials for medical diagnostics and patient care. 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. …”
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Eagle Syndrome - the issue of an elongated styloid process. A literature review by Martyna Brzoza, Bartosz Dubniański, Julia Stawińska-Dudek, Wiktoria Józefowicz, Damian Machaj

“…Conclusions: Eagle Syndrome is a rare clinical condition that requires detailed and precise diagnostics as well as cooperation between healthcare professionals of various specialties in order to undertake proper measures regarding condition’s management.  …”
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On the Use of SuperDARN Ground Backscatter Measurements for Ionospheric Propagation Model Validation by Joshua J. Ruck, David R. Themens, Pasha Ponomarenko, Angeline G. Burrell, Bharat Kunduri, J. Michael Ruohoniemi, Sean Elvidge

“…Ionosonde driven corrections to the IRI‐2016 peak parameters provide improvements of 200–800 km to the LE, with the greatest improvements observed during the nighttime. Diagnostics of echo distributions indicate consistent underestimates in model NmF2 during the daytime hours of June 2014 due to offsets of −8° being observed in modeled elevation angles at 18:00 and 21:00 UT.…”
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Combining Genetic Variants to Improve Risk Prediction for NAFLD and Its Progression to Cirrhosis: A Proof of Concept Study by Umberto Vespasiani-Gentilucci, Chiara Dell’Unto, Antonio De Vincentis, Andrea Baiocchini, Marco Delle Monache, Roberto Cecere, Adriano Maria Pellicelli, Valerio Giannelli, Simone Carotti, Giovanni Galati, Paolo Gallo, Francesco Valentini, Franca Del Nonno, Davide Rosati, Sergio Morini, Raffaele Antonelli-Incalzi, Antonio Picardi

“…Combining different disease-associated variants may represent the way for genetics to keep strength in NAFLD diagnostics.…”
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Circulation of Respiratory Syncytial Virus (RSV) in Poland Between Seasons of 2009/2010 and 2022/2023 Based on SENTINEL System by Karol Szymański, Anna Poznańska, Katarzyna Kondratiuk, Ewelina Hallmann, Katarzyna Łuniewska, Aleksander Masny, Lidia B. Brydak

“…In the 2020/2021 season, there were no reported cases of RSV due to the prioritization of SARS-CoV-2 diagnostics. Before the pandemic, the period of heightened RSV infection risk typically commenced in the 51st week or later, with a statistically significant correlation indicating that a later start was associated with a shorter season duration (<i>p</i> = 0.034). …”
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QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

“…. • QuantumNet combines the best-performing classical DL model for feature extraction with a variational quantum classifier, leveraging quantum transfer learning for enhanced diagnostics, validated statistically and on Google Cirq using standard metrics. • QuantumNet achieves 94.11 % accuracy, surpassing classical DL models and prior research by 11.93 percentage points, demonstrating its potential for accurate, efficient DR detection and broader medical imaging applications.…”
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Healthcare assessment tools—a valid source of data for pre-hospital care? Usability for ensuring medical care in the event of a disaster by Robert Konrad, Robert Konrad, Denise Schuster, HJ Heppner, HJ Heppner

“…Without adaptation they cannot be used at all or only after concerted efforts to interpret the needs for the care of vulnerable groups in a non-clinical context.DiscussionAn improved use of individual medical data in disaster and civil protection offers many advantages in prevention, diagnostics, therapy and care in the context of disaster medicine, and not only from an ethical point of view. …”
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