Experience on postmortem minimally invasive tissue sampling to ascertain the cause of death determination in South African children: A case for implementing as standard of care by J du Toit, K Storath, I Dunn, P Makekeng, M Moosa, K Mothibi, N Umuneza, C A Rees, D Blau, S Lala, Y Adam, S Velaphi, M Hale, P Swart, J Wadula, L Mothibi, A Wise, V Baba, P Jaglal, S Mahtab, S Madhi, Z Dangor

“…Furthermore, based on the data from CHAMPS, we present three pragmatic algorithmic approaches to the wide array of testing options for cost-effectiveness and scalability of postmortem MITS in South African state facilities. …”
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Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments by Jacob Wekalao, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-zahrani

“…Abstract This investigation presents the development and characterization of an advanced piezoelectric perovskite-based biosensing platform optimized for formalin detection in aqueous media through the implementation of Locally Weighted Linear Regression (LWLR) machine learning algorithms. The sensor architecture operates within the terahertz spectral region and incorporates an advanced nanomaterial composite system comprising black phosphorus, gold nanostructures, graphene, and barium titanate to maximize detection sensitivity and operational performance metrics. …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
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Design of Coffee Disease Detection Web Application Using Image Processing: A Case Study of Kyabugimbi-Kajunju Cooperative Farms in Bushenyi District. by Asiimwe, Mark, Kakuru, Ambrose

“…The methodology involves acquiring high-resolution images, employing pre-processing methods to enhance data quality, and implementing state-of-the-art machine-learning algorithms for disease classification. The proposed system seeks to surpass existing methods by achieving higher efficiency in disease detection. …”
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A framework for conceptualizing integrated prescriptive maintenance and production planning and control models by Kevin Wesendrup, Bernd Hellingrath, Zoi Nikolarakis

“…Lastly, we do not address solution algorithms. Practical implications: The framework constitutes a tool for managers to construct integrated models tailored to their specific planning problems, fostering alignment between production and maintenance departments, plans and controls. …”
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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

“…Key findings emphasize the effectiveness of various techniques in enhancing coverage, such as mobility-based approaches and energy-aware algorithms, while also addressing practical challenges like sensor redundancy and environmental unpredictability. …”
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Explainable Graph Spectral Clustering of text documents. by Bartłomiej Starosta, Mieczysław A Kłopotek, Sławomir T Wierzchoń, Dariusz Czerski, Marcin Sydow, Piotr Borkowski

“…However, the results of such algorithms, when applied e.g. to text documents, are hard to explain to the user, especially due to embedding in the spectral space which has no obvious relation to document contents. …”
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Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

“…Methods/Analysis involve a novel combination of Advanced Encryption Standard (AES) and quantum cryptographic algorithms CRYSTALS-Dilithium and CRYSTALS-Kyber within a hybrid blockchain architecture to secure EHRs. …”
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Enhancing Monkeypox Detection through Data Analytics: A Comparative Study of Machine and Deep Learning Techniques by Kinjal A. Patel, Asadi Srinivasulu, Kuntesh Jani, Goddindla Sreenivasulu

“…The findings highlight the potential of these advanced algorithms to aid in controlling outbreaks and curbing the transmission of the disease. …”
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Design and evaluation of screening and self-care (mobile) application for oral and dental problems and emergencies by Sedighe Sadat Hashemikamangar, Aidin Sooratgar, Mina Khayamzadeh, Shayan Momeni, Ali Asghar Safaei, Behnaz Behniafar

“…Introdution: Although oral and dental diseases may occur in unexpected or even emergency conditions, but some of the diagnosis and treatments can be algorithmically done following some guidelines. The development and implementation of a system that provides users with a record of history and a proposal of required actions can be not only efficiently practical, but also virtually simple. …”
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Successful Surgical Treatment of “Complex” Abdominal Echinococcosis by A. B. Goncharov, Yu. A. Stepanova, V. S. Shirokov, I. A. Turchenko, Yu. A. Kovalenko, D. V. Kalinin, B. N. Gurmikov, A. V. Zhao

“…Due to the peculiarities of the course of helminthiasis and the pronounced variability of the lesion, it is extremely difficult to develop universal and effective treatment algorithms. The presented clinical observation demonstrates an example of the successful use of special surgical tactics for the treatment of “complex” echinococcosis of the abdominal cavity with good long-term follow-up results.…”
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Detectability of Liver Steatosis and Fibrosis with Transient Elastography and Controlled Attenuation Parameter in Residents of St. Petersburg by V. P. Kovyazina, K. L. Raikhelson, M. K. Prashnova, E. V. Pazenko, L. K. Palgova, E. A. Kondrashina

“…Petersburg warrants improved diagnostic algorithms and routine preventive measures. Transient elastography with the controlled attenuation parameter estimation provides a convenient non-invasive screening for hepatic fibrosis and steatosis.…”
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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

“…Fast reconstruction algorithms are essential for near real-time alignment, calibration, data quality control, and efficient analysis. …”
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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

“…These findings have the potential to inform ongoing research on brain-like neural learning and could function as a catalyst for developing swifter and more potent algorithmic solutions in the realm of intelligent transportation.…”
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Diagnostic efficacy of serological and epigenetic methods of screening diagnostics of colorectal cancer by O. I. Kit, D. V. Burtsev, A. Yu. Maksimov

“…Development of adequate screening and diagnostic algorithms on colorectal cancer detection.Material and methods. …”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…We also find that the tail dependence approach is capable of predicting extreme ozone events, but algorithmic stability and configuration complexity can make this approach difficult to operationalize on a broad scale and that the selection of the threshold needs to be carefully considered. …”
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Simulation-based Analysis of 20 kW PV System by Atta Ur Rehman, Imtiaz Ahmad

“…To get the most power out of the solar panel under the circumstances, algorithms like MPPT are applied. MPPT also regulates the current supplied to the battery. …”
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An Automated Clinical Laboratory Decision Support System for Test Utilization, Medical Necessity Verification, and Payment Processing by Safedin Beqaj, Rojeet Shrestha, Tim Hamill

“…Often, providers do not have access to an appropriate tool that uses evidence-based guidelines or algorithms to ensure that tests are not duplicated, overused, or underused. …”
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…Thus, there is a pressing demand to devise efficient super-resolution algorithms. To address this issue, we propose a gradient pooling distillation network (GPDN), which can enable the efficient construction of a single image super-resolution system. …”
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