Astrocytic proteins involved in regulation of the extracellular environment are increased in the Alzheimer's disease middle temporal gyrus by Henry Liu, Adelie Y.S. Tan, Nasim F. Mehrabi, Clinton P. Turner, Maurice A. Curtis, Richard L.M. Faull, Mike Dragunow, Malvindar K. Singh-Bains, Amy M. Smith

“…We have used a high-throughput human brain tissue microarray platform with automated quantitative image analysis to measure protein changes in a large cohort of neurological control and AD cases. …”
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ASD: Interaction and socialisation through an adapted social network by Filipe Costa Pereira, Maisa Folgueral, Cibelle Amato, Valéria Farinazzo Martins

“…Furthermore, usability inspections were conducted using automated tools, identifying x issues, as described in the text. …”
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Unmasking the Imitators: Challenges in Identifying Intracranial Atherosclerosis‐Related Large Vessel Occlusion Mimics During Mechanical Thrombectomy by Aaron Rodriguez‐Calienes, Fazeel M. Siddiqui, Juan Vivanco‐Suarez, Sophie Shogren, Milagros Galecio‐Castillo, Mahmoud Dibas, Aditya S. Pandey, Marc Ribo, Santiago Ortega‐Gutierrez

“…Future perspectives include the incorporation of advanced imaging tools such as integration of artificial intelligence for automated image analysis, and deployment of advanced imaging techniques such as intravascular ultrasound and optical coherence tomography for a more comprehensive radiographical characterization of ICAS‐LVO. …”
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The Effect of Taraxacum officinale Hydroalcoholic Extract on Blood Cells in Mice by Mehrdad Modaresi, Narges Resalatpour

“…Normal saline was administered as placebo for group, and dandelion hydro alcoholic extract in doses of 50,100, and 200 mg/kg was injected intraperitoneally for 20 days to test groups and the last group was control group.WBC, RBC, HB, HCT, platelet, and other cells were measured with automated cell counter. Main Results. The number of RBC and the rate of HB in three doses of 100 and 200 mg/kg significantly increased (𝑃<0.05). …”
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Classification of disinformation in hybrid warfare: an application of XLNet during the Russia’s war against Ukraine by Halyna Padalko, Vasyl Chomko, Sergiy Yakovlev, Plinio Pelegrini Morita

“…The proposed methodology addresses the gaps in automated disinformation detection by integrating transformer-based models with advanced preprocessing and training techniques. …”
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Role of Artificial Intelligence in Oral Cancer by Vidhya Rekha Umapathy, Prabhu Manickam Natarajan, Bhuminathan Swamikannu, Sabarinathan Jaganathan, Suba Rajinikanth, Vijayalakshmi Periyasamy

“…Expert systems harness medical knowledge and patient-centric intelligence to furnish decision support for clinicians in treatment modality selection and disease monitoring. Robotic and automated systems contribute to surgical precision and procedural streamlining, ultimately fostering enhanced patient outcomes. …”
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A 3D Approach for the Virtual Commissioning of Processing Plants by Nikolai Striffler, Tobias Voigt

“…This paper presents a novel 3D approach for virtual commissioning (VC) in process engineering, utilizing a semi-automated model generation methodology based on 3D MCAD data. …”
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How do events shape the media agenda on Islam and Muslims in Western Europe? An analysis of news events in Germany, the UK and France (2000–2020) by Liriam Sponholz, Anna-Maria Meuth

“…To answer this question, an automated quantitative content analysis was conducted on all articles of at least 50 words mentioning Islam∗ or Muslims∗ in broadsheets from the UK, Germany and France published between 2000 and 2020 (N = 262,105). …”
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Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection by Manh-Tuan Do, Manh-Hung Ha, Duc-Chinh Nguyen, Oscal Tzyh-Chiang Chen, Oscal Tzyh-Chiang Chen

“…This study introduces an automated system for early disease detection in plants that enhanced a lightweight model based on the robust machine learning algorithm. …”
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Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis by Qifeng Liu, Tao Zhou, Chi Cheng, Jin Ma, Marzia Hoque Tania

“…This approach advances automated histopathological image generation with potential for clinical applications.…”
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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

“…The integration of neural networks and mechanistic models, forming universal differential equation (UDE) models, enables the automated learning of unknown model terms with less data than neural networks alone. …”
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Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition by Nana Han, Nana Han, Wending Miao, Mingzhi Li, Mohd Ashraf Mohamad Ismail, Qiang Hu, Liyuan Duan, Liyuan Duan, Jintao Tang

“…However, frequent major safety incidents caused by slope failures highlight the urgent need for automated identification of failure events during the operational phase of slopes.MethodsThis study integrates rainfall, surface displacement, and vertical displacement monitoring data, and proposes an automatic failure mode identification method based on deep convolutional autoencoder technology. …”
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FSAS: An IoT-Based Security System for Crop Field Storage by Chandra Prakash, Anurag Barthwal, Shwetank Avikal, Gyanendra Kumar Singh

“…When it comes to agriculture, this idea has been incorporated to make agriculture-related tasks smart, secure, and automated. Agriculture is vital for economic growth and also for the survival of humans. …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs by Saravana Kumar Ganesan, Parthasarathy Velusamy, Santhosh Rajendran, Ranjithkumar Sakthivel, Manikandan Bose, Baskaran Stephen Inbaraj

“…However, the shortage of radiologists in the Least Developed Countries (LDCs) emphasizes the need for automated pneumonia diagnostic systems. This article presents a Deep Learning model, Zero-Order Optimized Convolutional Neural Network (ZooCNN), a Zero-Order Optimization (Zoo)-based CNN model for classifying CXR images into three classes, Normal Lungs (NL), Bacterial Pneumonia (BP), and Viral Pneumonia (VP); this model utilizes the Adaptive Synthetic Sampling (ADASYN) approach to ensure class balance in the Kaggle CXR Images (Pneumonia) dataset. …”
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Extracting chemical food safety hazards from the scientific literature automatically using large language models by Neris Özen, Wenjuan Mu, Esther D. van Asselt, Leonieke M. van den Bulk

“…In this study, an approach is presented to automate the extraction of chemical hazards from the scientific literature through large language models. …”
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A Channel Attention-Driven Optimized CNN for Efficient Early Detection of Plant Diseases in Resource Constrained Environment by Sana Parez, Naqqash Dilshad, Jong Weon Lee

“…Early detection and automated diagnosis systems are crucial to mitigate these challenges. …”
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Design of a Cost-Effective Ultrasound Force Sensor and Force Control System for Robotic Extra-Body Ultrasound Imaging by Yixuan Zheng, Hongyuan Ning, Eason Rangarajan, Aban Merali, Adam Geale, Lukas Lindenroth, Zhouyang Xu, Weizhao Wang, Philipp Kruse, Steven Morris, Liang Ye, Xinyi Fu, Kawal Rhode, Richard James Housden

“…The system integrates patient-to-robot registration, automated scanning path planning, and multi-sensor data fusion, allowing the robot to autonomously locate the patient, target the region of interest, and maintain optimal contact force during scanning. …”
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3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images by M. Esmaeili, A. M. Dehnavi, H. Rabbani

“…To address this need, a fully automated algorithm was developed to segment drusen area and volume from SD-OCT images. …”
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Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems by Haina Rong, Kang Yi, Gexiang Zhang, Jianping Dong, Prithwineel Paul, Zhiwei Huang

“…MCFD is realized by automating input and output, and diagnosis processes consists of network topology analysis, suspicious fault component analysis, construction of FRSN P systems for suspicious fault components, and fuzzy inference. …”
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Exploring the Role of Artificial Intelligence on Educational Dynamics: Evaluating its Impact on Pedagogical Practices and Student Learning Outcomes by Sarah Abou Karroum, Nour-Eldin Elshaiekh

“…AI is transforming how human interacts with machine and automate day to day actions which were traditionally performed by humans. …”
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