The global convergence of some self-scaling conjugate gradient methods for monotone nonlinear equations with application to 3DOF arm robot model. by Sulaiman M Ibrahim, Lawal Muhammad, Rabiu Bashir Yunus, Muhammad Yusuf Waziri, Saadi Bin Ahmad Kamaruddin, Aceng Sambas, Nooraini Zainuddin, Ali F Jameel

“…Conjugate Gradient (CG) methods are widely used for solving large-scale nonlinear systems of equations arising in various real-life applications due to their efficiency in employing vector operations. …”
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Machine learning applications for chloride ingress prediction in concrete: insights from recent literature by Quynh-Chau Truong, Anh-Thu Nguyen Vu

“…Future research should focus on integrating ML with physical models to enhance robustness and reliability in service life prediction. This review summarizes current trends, challenges, and the future potential of ML in predicting chloride ingress and its impact on concrete durability.…”
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Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning by Abdulaziz A. Alzubaidi

“…Unmanned aerial vehicles (UAVs), known as drones, have significantly impacted the agricultural, police, military, and commercial sectors, aiming to enhance the quality of life; however, they are exposed to significant risks from the adversarial side, thereby gaining benefits from security vulnerabilities, including insecure communication channels, authorization risks, hardware, software, and network risks, to perform various attacks. …”
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The Digipolitical and African Political Thought by Claudia Favarato

“…Today, digitality is pervasive across all spheres of human social and political life. To inquire into digital-engendered ontologies, this paper presents a theoretical framework undergirding African political thought for the study of the political sphere in digitality, or the digipolitical. …”
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Approaches for treating neuropsychiatric symptoms in Parkinson’s disease: a narrative review by Jon Rodríguez-Antigüedad, Gonzalo Olmedo-Saura, Javier Pagonabarraga, Saül Martínez-Horta, Jaime Kulisevsky

“…As the disease progresses, these symptoms usually become increasingly impairing and are now recognized as having the greatest impact on quality of life not only for patients but also for caregivers. …”
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Projection Profiling: A Data Compressing Strategy in Three-Dimensional Liquid Chromatography for Quality Control of Traditional Herbal Medicine by Jing Zhang

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Summoning the digital investor: Fintech apps and the shaping of everyday financial subjectivities by Gordon Kuo Siong Tan

“…However, fintech investing’s role in the financialization of everyday life remains unclear. Combining insights from Foucauldian governmentality and Science and Technology Studies (STS), this article positions fintech brokerage apps as both neoliberal tools in governing investor conduct and as agencements in reconfiguring financial subjectivities. …”
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Non-Invasive Brain Stimulation and Artificial Intelligence in Communication Neuroprosthetics: A Bidirectional Approach for Speech and Hearing Impairments by Thorsten Rudroff

“…The integration of transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) with advanced AI algorithms enables the personalized, adaptive enhancement of neural signals for both speaking and listening functions. …”
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Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace by Huy Nguyen Quoc, Vinh Truong Hoang

“…Biometric traits gradually proved their importance in real-life applications, especially in identification field. …”
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Hybrid Censoring Schemes with Mixture Gamma Failure Distribution by Hassan M. Aljohani, Nada M. Alfaer

“…Hybrid censoring schemes are censoring schemes mixed of type-I (T-1) and type-II (T-2) censoring schemes, a most popular area of study in life-testing or reliability experiments. More precisely, hybrid censoring can be described as a mixture of T-I and T-2 schemes. …”
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The ethics of data interoperability: Mapping problems and strategies in biomedical data and beyond by Asher Brandon Caplan, Colin Koopman

“…However, interoperability poses a number of ethical problems whose contours can prove especially challenging in comparison to how ethical harms take hold at other moments of the data life cycle (such as algorithmic processing or results dissemination). …”
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Application of Brain-Computer Interfaces in Rehabilitation of Central Nervous System Disorders by GE Yi, ZHONG Ying, HONG Wenjun, XU Rong

“…Central nervous system (CNS) disorders often cause consciousness, motor, language, cognitive and sensory disorders, which seriously impair patients' quality of life. Brain-computer interface (BCI) technology provides a new paradigm for CNS functional rehabilitation through real-time decoding of brain intentions and transforming them into environmental interaction signals, and remodeling neuroplasticity through motor and sensory feedback and assisted rehabilitation training. …”
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Encoding and Decoding of Secret Messages Using Matrices by James, Niwagaba

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On Generating Synthetic Datasets for Photometric Stereo Applications by Elisa Crabu, Giuseppe Rodriguez

“…The mathematical model for photometric stereo makes several restricting assumptions, which are often not fulfilled in real-life applications. Specifically, an object surface does not always satisfies Lambert’s cosine law, leading to reflection issues. …”
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Computational methods for protein identification from mass spectrometry data. by Leo McHugh, Jonathan W Arthur

“…The evolution of scoring algorithms and metrics for automated protein identification are also discussed with a focus on the relative performance of different techniques. …”
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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

“…In this paper, the different computation efficiencies of the algorithms are compared according to the computing times of relevant algorithms.…”
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CLINICAL SIGNIFICANCE OF CYTOMEGALOVIRUS INFECTION IN PEDIATRIC LIVER TRANSPLANT RECIPIENTS by O. M. Tsiroulnikova, I. V. Zhilkin, D. G. Akhaladze

“…Liver transplantation is a life-saving procedure for many forms of end-stage liver disease in pediatrics. …”
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Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning by Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

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Neonatal pose estimation in the unaltered clinical environment with fusion of RGB, depth and IR images by Alex Grafton, Joana M. Warnecke, Maxwell Li, Eric He, Lynn Thomson, Kathryn Beardsall, Joan Lasenby

“…The baby’s positioning and covering supports their development and comfort, and these scenarios should therefore be considered when validating visual monitoring algorithms.…”
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Leveraging Spectral Neighborhood Information for Corn Yield Prediction with Spatial-Lagged Machine Learning Modeling: Can Neighborhood Information Outperform Vegetation Indices? by Efrain Noa-Yarasca, Javier M. Osorio Leyton, Chad B. Hajda, Kabindra Adhikari, Douglas R. Smith

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