A Versatile, Machine-Learning-Enhanced RF Spectral Sensor for Developing a Trunk Hydration Monitoring System in Smart Agriculture by Oumaima Afif, Leonardo Franceschelli, Eleonora Iaccheri, Simone Trovarello, Alessandra Di Florio Di Renzo, Luigi Ragni, Alessandra Costanzo, Marco Tartagni

“…These S-parameters are then processed using ML techniques to automate the monitoring process, enabling real-time and predictive analysis of moisture levels.…”
Get full text

The use of ultrasonography in the diagnosis and management of Acute Kidney Injury and other forms renal dysfunction in the paediatric population: Systematic review protocol. by Gontse Leballo, Nabeela Arbee-Kalidas, Moses Mogakolodi Kebalepile, Palesa Motshabi Chakane

“…This will include an analysis of the specific ultrasound features that may predict or be associated with the occurrence of acute kidney injury, as well as their potential role in identifying at-risk paediatric patients, facilitating timely interventions to mitigate further kidney damage.…”
Get full text

Etiological and epidemiological characteristics of infectious hemocolitis in hospitalized pediatric patients by O. I. Klimova, N. V. Gonchar, I. V. Razd’yakonova, Yu. V. Lobzin

“…The aim of this work is to study the etiological and epidemiological features of infectious hemocolites (IG) in hospitalized children of different ages.Materials and methods of research. …”
Get full text

CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup by K. Punitha, G. Sivapriya, T. Jayachitra

“…They are particularly powerful for tasks involving data recognition, classification, and analysis due to their ability to automatically and adaptively learn spatial hierarchies of features. …”
Get full text

Is Ultrasonography an Effective Method for Diagnosing Degenerative Changes in the Temporomandibular Joint? by Barbara Wojciechowska, Arkadiusz Szarmach, Adam Michcik, Maciej Sikora, Barbara Drogoszewska

“…Conclusions: US holds significant promise as a screening modality for detecting normal anatomical features of the temporomandibular joint, its limitations in identifying more complex degenerative changes necessitate a cautious and integrated approach to TMJ diagnostics.…”
Get full text

MFEM-CIN: A Lightweight Architecture Combining CNN and Transformer for the Classification of Pre-Cancerous Lesions of the Cervix by Peng Chen, Fobao Liu, Jun Zhang, Bing Wang

“…The core of the framework is the MFEM-CIN hybrid model, which combines Convolutional Neural Networks (CNN) and Transformer to aggregate the correlation between local and global features. This combined analysis of local and global information is scientifically useful in clinical diagnosis. …”
Get full text

Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study by Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi

“…We also conduct an explainability analysis to interpret the model’s predictions and identify key features associated with depression classification. …”
Get full text

EXPLORING EMMA BOVARY’S DIFFUSED PERSONALITY IN GUSTAVE FLAUBERT’S MADAME BOVARY NOVEL by Zuvyati Aryani Tlonaen

“…The study showed that Emma has the twelve diffused personality features. This study proves that identity status can be detected in literary works. …”
Get full text

Mitral valve prolapse—arrhythmic faces of the valve disease by Maria Możdżan, Monika Możdżan, Iwona Duraj, Zofia Możdżan, Mateusz Staciwa, Marlena Broncel, Karina Wierzbowska-Drabik

“…Cardiac magnetic resonance (CMR) imaging and speckle tracking echocardiography are new tools showing significant potential for detection of malignant features of AMVP. This paper presents various data coming from electrocardiography (ECG) analysis, echocardiography, and other imaging techniques as well as compilation of the recent studies on the subject of MVP.…”
Get full text

A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography by Priya Darshini Kumari, Ksh Milan Singh, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Satyabrata Lenka, Ganapati Panda, Sujeevan Kumar Agir

“…These findings confirm that the proposed method outperforms state-of-the-art alternatives in preserving both signal fidelity and clinically significant features under both stationary and non-stationary noise. …”
Get full text

The Desmoid Dilemma: Challenges and Opportunities in Assessing Tumor Burden and Therapeutic Response by Yu-Cherng Chang, Bryan Nixon, Felipe Souza, Fabiano Nassar Cardoso, Etan Dayan, Erik J. Geiger, Andrew Rosenberg, Gina D’Amato, Ty Subhawong

“…Radiomics and artificial intelligence approaches may enhance quantitative analysis by extracting and correlating complex imaging features with biological behavior. …”
Get full text

Unveiling the complexity of Schimmelpenning–Feuerstein–Mims syndrome: A comprehensive case study by Guillermo Raul Vera-Duarte, Ruth Eskenazi-Betech, Isabel De la Fuente-Batta, David Carreño-Bolaños, Oscar F. Chacón-Camacho, Juan C. Zenteno, Enrique O. Graue-Hernandez

“…Purpose: The purpose of this study was to report the comprehensively examined patient exhibiting oculocutaneous clinical features of Schimmelpenning–Feuerstein–Mims syndrome (SFMS). …”
Get full text

Non-Invasive Prenatal Screening for Down Syndrome: A Review of Mass-Spectrometry-Based Approaches by Răzvan Lucian Jurca, Ioana-Ecaterina Pralea, Maria Iacobescu, Iulia Rus, Cristina-Adela Iuga, Florin Stamatian

“…Additionally, pathway analysis is carried out to explore the biological pathways that these molecules are involved in and how they relate to the clinical features of the syndrome. …”
Get full text

Epizootological study on the prevalence of Aelurostrongylus abstrusus in domestic cats by A. Kravchenko, V. Levytska

“…A total of 278 samples were analyzed, with 21 (7.6 %) testing positive for A. abstrusus. The morphological features of the first-stage larvae of A. abstrusus had key features, including a distinct tail end with a dorsal spine. …”
Get full text

STABILITY OF DEVELOPMENT OF FUTURE PROFESSIONALS’ EMOTIONAL INTELLIGENCE by A. M. Beloborodov, E. E. Symaniuk

“…Gilford’s Social Intelligence Test and also the authors’ set of toolkits (tasks for recognition of facial expression and detection of the active dictionary of emotions) were applied.Results and scientific novelty. …”
Get full text

Construction of a predictive model for cognitive impairment among older adults in Northwest China by Yu Wang, Ni Wang, Yanjie Zhao, Xiaoyan Wang, Yuqin Nie, Liping Ding

“…We used random forest algorithms to select important features from potential predictors. The features identified using the random forest model were subjected to logistic regression analysis to develop a cognitive impairment prediction model. …”
Get full text

PHONETIC REHABILITATION FOR REMOVABLE DENTAL PROSTHETICS by M. Nidzelsky, V. Chikor, N. Tsvetkova

“…Modern methods of speech research are based on listening, audiometry and spectral analysis of sound. Consequently, the features of rehabilitation of toothless patients with the help of a complete removable denture are widely covered in the literature. …”
Get full text

The Future Is Organic: A Deep Dive into Techniques and Applications for Real-Time Condition Monitoring in SASO Systems—A Systematic Review by Tim Nolte, Sven Tomforde

“…Predictive techniques are used in 16.63% of the studies, with 38.89% combining prediction and anomaly detection. Although 58.18% implement some self-* features, only 42.19% present explicitly self-adaptive or self-organizing methods. …”
Get full text

Magnetization and superparamagnetic behavior of FeCu nanoalloys at room temperature via synthesis and simulation by Maryam Bahrami, Mehrangiz Bahrami, S. Jafar Hoseini, Mohammad Hadi Ghatee

“…Abstract Bimetallic nanoalloys combining magnetic and noble metals are promising for magnetic sensors, catalysis, optical detection, and biomedical imaging applications. Their development relies on understanding morphology, electronic structure, and crystallography. …”
Get full text

Binary and multiclass malware classification of windows portable executable using classic machine learning and deep learning by Moeiz Miraoui, Mohamed Ben Belgacem

“…PE (Portable Executable) is the standard file format for executable files and DLLs on Windows systems, with PE malware being the most common form of malicious software. Static analysis, which is mainly a signature-based method for detecting malware, can only identify already known malware. …”
Get full text