A novel subset-based polynomial design for enhancing the security of short message-digest with inflated avalanche and random responses by P. Karthik, P. Shanthibala, Akashdeep Bhardwaj, Salil Bharany, Heejung Yu, Yousaf Bin Zikria

“…A provably-secure hash function aids in providing solutions to integrity-related issues. …”
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SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disorders by Samra Siddiqui, Junaid A. Khan, Tallha Akram, Meshal Alharbi, Jaehyuk Cha, Dina A. AlHammadi

“…Therefore, multiple challenges exist regarding CAD (Computer-aided diagnosis) and endoscopy, including a lack of annotated images, a dark background, poor contrast, and an irregular pattern. …”
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A novel, non-invasive AI-based telemonitoring system for heart failure: detection of undiagnosed hyperthyroidism in an asymptomatic patient by Allan Böhm, Julia Lucka, Amitai Segev, Marta Kollarova, Stefan Toth, Nikola Jajcay, Branislav Bezak

“…Assessment of cardiac filling pressures may aid in the early detection and prevention of clinical decompensation. …”
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The 2021 Chronic Kidney Disease Epidemiology Collaboration Race-Free Estimated Glomerular Filtration Rate Equations in Kidney Disease: Leading the Way in Ending Disparities by Keyerra Charles, Mary Jane Lewis, Elizabeth Montgomery, Morgan Reid

“…Results: Removing race from the algorithm used to assess kidney function is most equitable. …”
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Transceiver Design for Full-Duplex UAV Based Zero-Padded OFDM System With Physical Layer Security by Joarder Jafor Sadique, Shaikh Enayet Ullah, Md. Rabiul Islam, Raad Raad, Abbas Z. Kouzani, M. A. Parvez Mahmud

“…In this proposed system, intertwining logistic map (ILM)-cosine transform aided encryption algorithm combined with artificial noise enhancing physical layer security (PLS) is introduced. …”
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CC-Former: Urban Flood Mapping from InSAR Coherence with Vision Transformer: Libya and Storm Daniel as Test Case by T. Saleh, T. Saleh, T. Saleh, S. Holail, M. Al-Saad, F. Xu, M. Zahran, G.-S. Xia, G.-S. Xia

“…As such, it can significantly aid disaster management efforts in vulnerable communities in near real-time.…”
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Catalyzing early ovarian cancer detection: Platelet RNA-based precision screening by Eunyong Ahn, Se Ik Kim, Sungmin Park, Sarah Kim, Hyejin Lee, Yeochan Kim, Sangick Park, Suyeon Lee, Dong Won Hwang, Heeyeon Kim, HyunA Jo, Untack Cho, Juwon Lee, Cheol Lee, TaeJin Ahn, Yong-Sang Song

“…If integrated with current screening methods, our algorithm holds promise for identifying ovarian or endometrial cancer in its early stages.…”
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Detection and Geolocation of Peat Fires Using Thermal Infrared Cameras on Drones by Temitope Sam-Odusina, Petrisly Perkasa, Carl Chalmers, Paul Fergus, Steven N. Longmore, Serge A. Wich

“…Finally, a geolocation algorithm is presented to identify the GNSS location of these fires once they are detected in an image to aid fire-fighting responses. …”
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Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis by Márton Rakovics, Fanni Adél Meznerics, Péter Fehérvári, Tamás Kói, Dezső Csupor, András Bánvölgyi, Gabriella Anna Rapszky, Marie Anne Engh, Péter Hegyi, Andrea Harnos

“…We identified both the relevant confounding factors of tool performance using the MetaForest algorithm and the best tools—comparing linear, machine learning, and deep learning methods—with mixed-effects meta-regression models. …”
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Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning by Olalekan A Uthman, Rachel Court, Jodie Enderby, Lena Al-Khudairy, Chidozie Nduka, Hema Mistry, GJ Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…The aim was to develop a high-performing algorithm comparable to human screening. Methods We followed a three-phase process to develop and test an automated machine learning-based classifier for screening potential studies on interventions for primary prevention of cardiovascular disease. …”
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Machine Learning–based Identification of Prognostic Factors for Surgical Management in Patients With NOS Sarcoma by Christoph Wallner, Dr. med, Sonja V. Schmidt, Dr. med, Felix Reinkemeier, Dr. med, Marius Drysch, Dr. med, Alexander Sogorski, Dr. med, Maxi von Glinski, Dr. med, Patrick Harenberg, Dr. med, Mustafa Becerikli, Dr. med, Marcus Lehnhardt, Prof., Ingo Stricker, Dr. med, Mehran Dadras, Dr. med, Flemming Puscz, Dr. med

“…These results have direct clinical relevance and can aid in risk stratification and surgical planning in this challenging patient population. …”
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Interpretable XGBoost model identifies idiopathic central precocious puberty in girls using four clinical and imaging features by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

“…Conclusions An accurate and interpretable ML-based model has been developed to aid clinicians in the diagnosis of ICPP, assisting in clinical decision-making.…”
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Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics by Fengda Li, Zeyi Li, Hong Xu, Gang Kong, Ze Zhang, Kaiyuan Cheng, Longyuan Gu, Lei Hua

“…The average area under the curve (AUC) for our model is 0.994, surpassing that of the other four traditional machine learning algorithms (AUC: 0.523–0.702). This suggests that the model based on the ECNN algorithm performs well in distinguishing the 1p/19q molecular status of LGG patients. …”
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Assessment of horizontally oriented ice crystals with a combination of multiangle polarization lidar and cloud Doppler radar by Z. Wu, Z. Wu, P. Seifert, Y. He, Y. He, Y. He, H. Baars, H. Li, H. Li, C. Jimenez, C. Li, A. Ansmann

“…This study introduces an automatic range-resolved algorithm for HOIC identification using a combination of ground-based zenith-pointing and 15° off-zenith-pointing polarization lidars. …”
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LncRNAs regulates cell death in osteosarcoma by Ping’an Zou, Zhiwei Tao, Zhengxu Yang, Tao Xiong, Zhi Deng, Qincan Chen, Li Niu

“…Three machine learning algorithms—Support Vector Machine, Random Forest, and Generalized Linear Model—were utilized to select feature genes. …”
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Pustular reaction in adult-onset immunodeficiency due to anti-interferon-gamma autoantibodies by Narachai Julanon, Pojsakorn Danpanichkul, Charoen Choonhakarn, Suteeraporn Chaowattanapanit, Siriluck Anunnatsiri, Ploenchan Chetchotisakd, Salin Kiratikanon, Rujira Rujiwetpongstorn, Napatra Tovanabutra, Siri Chiewchanvit, Romanee Chaiwarith, Phichayut Phinyo, Phichayut Phinyo, Mati Chuamanochan, Mati Chuamanochan

“…In cases where these hallmark features were absent, a predictive algorithm incorporating the presence of a concomitant infections, serum globulin concentration, and alkaline phosphatase level demonstrated robust utility in estimating the likelihood of AOID-associated pustular reaction.…”
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Efficacy of artemether-lumefantrine, artesunate-amodiaquine, dihydroartemisinin-piperaquine and artesunate-pyronaridine for the treatment of uncomplicated Plasmodium falciparum mal... by Abel Nhama, Arlindo Chidimatembue, Lídia Nhamussua, Quique Bassat, Clemente da Silva, Arsénio Nhacolo, Paulo Arnaldo, Crizolgo Salvador, Annette Cassy, Baltazar Candrinho, Mércia Dimene, Eva Carvalho, Abuchahama Saifodine, Flavio Wate, Hélio Mucavele, Yaritbel Torres-Mendoza, Breanna Horton, Mateusz Plucinski, Pau Cistero, Alfredo Mayor, Pedro Aide

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A comprehensive approach to predict a rocket's impact with stochastic estimators and artificial neural networks by Jose Abreu, Roberto L. Oliveira, Joao V. Fonseca Neto

“…These include a recursive Kalman filter aided by an ANN (RKFN), an extended Kalman filter aided by an ANN (EKFN), an unscented Kalman filter aided by an ANN (UKFN), and a particle filter aided by an ANN (PFN). …”
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SIMULATION TRAINING IN MEDICAL STUDENT PREPARATION by Oleg V. Zinchenko, Alla A. Muravyeva, Oksana V. Vladimirova

“…The developed method of preparation and improvement of professional skills of medical students allows to study algorithms of first aid in critical cases more deeply, to learn emergency medical manipulations, to be able to evaluate the results of performed manipulations. …”
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COMPLEXITY EVALUATION IN THE PROJECTS INVOLVING MOBILE HETEROGENEOUS OBJECTS by A. I. Kuzmich, S. C. Mochulsky, A. N. Valvachev

“…A proper computer-aided system was designed to facilitate the automation of the evaluation procedure.…”
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