Iron induces blood-brain barrier alteration contributing to cognitive impairment in β-thalassaemia mice by Parinda Jamrus, Nuttanan Pholngam, Benjaporn Kiatpakdee, Kittikun Viwatpinyo, Jim Vadolas, Sukonthar Ngampramuan, Saovaros Svasti, Pornthip Chaichompoo

“…While β-thalassaemia mice with low baseline iron show cognitive impairment at 22 months, equivalent to 70–80 human years, heavy iron overload accelerated cognitive decline, leading to impaired spatial learning and memory by 12 months, equivalent to 35–40 human years, in both β-thalassaemia and wild-type mice. …”
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What Are the Predictors of Acute Care Nurses' Stroke Knowledge?: Empirical Research Quantitative by Catherine T. Leach, Linda P. Bolin, Melvin S. Swanson, Ashley E. Burch, Patricia C. Woltz

“…Conclusion Various methods of training and reinforcement of learning using varying teaching styles are effective in increasing nurses' stroke knowledge. …”
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Investigating the Relationship of Inflammatory Cytokines and Brain-Derived Neurotrophic Factor with Cognitive Functions in Multiple Sclerosis Patients by Narges َArab-Moghaddam, Karim Asgari Mobarakeh, Gholamreza Daryabor, Maryam Poursadeghfard

“…The ELISA method was used to measure the serum levels of cytokines IFN-γ, IL-6, TNF-α, and IL-17, as well as brain-derived neurogenesis factor (BDNF) in the control group and the patients. California Verbal Learning Tests (CVLT-11), Brief Spatial Memory-Revised (BVMT-R), Symbol Digit Substitution (SDMT), Verbal Fluency (COWAT), and Executive Functions (D-KEFS) were implemented to assess cognitive functions. …”
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Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network by Quantong ZHANG, Yao ZHENG, Liu YANG, Shuaishuai ZHANG, Quanyou GUO

“…The model was built using the TensorFlow learning framework. The 5-fold cross-validation was used to tune and evaluate the model and select the optimal parameter model. …”
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Precision Imaging for Early Detection of Esophageal Cancer by Po-Chun Yang, Chien-Wei Huang, Riya Karmakar, Arvind Mukundan, Tsung-Hsien Chen, Chu-Kuang Chou, Kai-Yao Yang, Hsiang-Chen Wang

“…This study underscores the potential of deep learning identification models to aid in medical detection research. …”
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Semantic Tokenization-Based Mamba for Hyperspectral Image Classification by Ri Ming, Na Chen, Jiangtao Peng, Weiwei Sun, Zhijing Ye

“…Experimental results on three HSI datasets demonstrate that the proposed STMamba outperforms existing state-of-the-art deep learning and transformer-based methods.…”
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Predicting Patients’ Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

“…This study aims to forecast patient satisfaction in the healthcare industry and develop a strategic roadmap for hospitals, thereby expanding the knowledge of machine learning methods for predicting customer satisfaction.…”
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Point of Care Ultrasound (POCUS) Utilization and Barriers by Senior Emergency Medicine and Critical Care Residents at Two Teaching Referral Hospitals, Addis Ababa, Ethiopia by Ayalew Zewdie Tadesse, Temesgen Beyene Abicho, Dirijit Mamo Alemu, Anne Aspler

“…Forty-two (55.3%) residents preferred to complete face-to-face teaching, while 33 (43.4%) preferred blended learning both face-to-face and online. Conclusion. …”
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An advanced 3D lymphatic system for assaying human cutaneous lymphangiogenesis in a microfluidic platform by Minseop Kim, Sieun Choi, Dong-Hee Choi, Jinchul Ahn, Dain Lee, Euijeong Song, Hyun Soo Kim, Mijin Kim, Sowoong Choi, Soojung Oh, Minsuh Kim, Seok Chung, Phil June Park

“…In addition, we rapidly analyzed prolymphangiogenic effects using methods that incorporate a high-speed image processing system and a deep learning-based vascular network analysis algorithm by 12 indices. …”
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A Survey on Event Tracking in Social Media Data Streams by Zixuan Han, Leilei Shi, Lu Liu, Liang Jiang, Jiawei Fang, Fanyuan Lin, Jinjuan Zhang, John Panneerselvam, Nick Antonopoulos

“…Event tracking in social networks finds various applications, such as network security and societal governance, which involves analyzing data generated by user groups on social networks in real time. Moreover, as deep learning techniques continue to advance and make important breakthroughs in various fields, researchers are using this technology to progressively optimize the effectiveness of Event Detection (ED) and tracking algorithms. …”
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A patient-based iPSC-derived hepatocyte model of alcohol-associated cirrhosis reveals bioenergetic insights into disease pathogenesis by Bani Mukhopadhyay, Cheryl Marietta, Pei-Hong Shen, Abdul Oiseni, Faridoddin Mirshahi, Maria Mazzu, Colin Hodgkinson, Eli Winkler, Qiaoping Yuan, Daniel Miranda, George Kunos, Arun J. Sanyal, David Goldman

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MEFET-Based CAM/TCAM for Memory-Augmented Neural Networks by Sai Sanjeet, Jonathan Bird, Bibhu Datta Sahoo

“…The proposed CAM is then used to build a one-shot learning MANN and is benchmarked with the Modified National Institute of Standards and Technology (MNIST), extended MNIST (EMNIST), and labeled faces in the wild (LFW) datasets with binary embeddings, giving >99% accuracy on MNIST, a top-3 accuracy of 97.11% on the EMNIST dataset, and >97% accuracy on the LFW dataset, with embedding sizes of 16, 64, and 512, respectively. …”
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Organization of creative activities of students: aims, methodology, outcomes by Dmitry A. Trischenko

“…Therefore, the aim of this research is to substantiate that the forms of student creative contests would be more responsive to professional specifics of Bachelor training and perform an increasing range of functions: generating of enthusiasm for learning, developing competition skills and abilities to evaluate the competence level. …”
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Recognition of Health Care Provider's Patient Safety Culture in Kurdistan/Iraq by Ismail Ahmed Ali, Shewaz Abdalrahman Hussein, Shelan Omar Ali, Fuaad Azad Muhamad

“…However, only two dimensions from 11 had reached positive response rate by respondents which include teamwork within Units (76.2%) and organizational learning (79%) dimensions, while the lowest dimension’s positivity include the frequency of reporting errors (4.6%). …”
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University management: Technology for monitoring the reputation of an educational brand by T. D. Sinyavets, E. A. Luneva, N. V. Katunina

“…An important consequence of the ongoing changes is the reorientation of the activities of universities to the domestic market, the development of new educational programmes, and learning technologies. Against the background of growing competition in this direction, the reputation of an educational institution is acquiring an increasing importance in the eyes of various stakeholders.Aim. …”
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Formation of Ethical Competences for AI Use in English Foreign Language Teachings by Clara Abisheva, Zina Koldasbaeva, Nazym Nossiyeva, Nazilya Irgebaeva, Аinash Aipova, Saule Doldinova, Samat Smoilov, Ryskeldy Aykenova, Lyazzat Umirzakova, Mapruza Idrissova

“…These competences offer a framework for developing future EFL teaching and learning programs that maximize AI’s benefits while addressing potential ethical challenges. …”
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Remodeling of the brain angioarchitecture in experimental chronic neurodegeneration by Maj Schneider Thomsen, Serhii Kostrikov, Lisa Greve Routhe, Kasper Bendix Johnsen, Steinunn Sara Helgudóttir, Johann Mar Gudbergsson, Thomas Lars Andresen, Torben Moos

“…Brains were examined at 28 days (short-term neurodegeneration) and 91 days (long-term neurodegeneration) and analyzed for vascular remodeling taking both 2D and 3D approaches, the latter involving confocal microscopy of optically cleared samples combined with machine learning-based image analysis. Crysectioned and microdissected samples were analyzed for protein and gene expression respectively. …”
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Recent Developments in Heavy Metals Detection: Modified Electrodes, Pretreatment Methods, Prediction Models and Algorithms by Yujie Shi, Shijie Zhang, Hang Zhou, Yue Dong, Gang Liu, Wenshuai Ye, Renjie He, Guo Zhao

“…To address these issues, two potential solutions have been proposed: the development of advanced algorithms (such as machine learning (ML), back-propagation neural network (BPNN), support vector machines (SVM), random forests (RF), etc.) for signal processing and the use of pretreatment methods (such as Fenton oxidation (FO), ozone oxidation, and photochemical oxidation) to suppress such interferences. …”
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Penerapan Library AR.js pada Aplikasi e-Label Batik untuk Mendukung Kejelasan dan Kecepatan Tampilnya Informasi Keaslian Batik by Paminto Agung Christianto, Restyandito Restyandito, Eko Budi Susanto, Moh. Reza Maulana

“…Hence, needed a tool in the form of applications that can be used by the public to recognize the authenticity of batik, as well as a medium of learning about various things related to original batik.  …”
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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…Unlike traditional ground truthing activities, drone truthing enabled the generation of large, spatially balanced reference datasets, which are critical for machine learning classification systems. These datasets improved classification accuracy by ensuring a comprehensive representation of vegetation spectral variability, enabling the classifier to identify the key phenological patterns that best characterize and distinguish different vegetation types across the landscape. …”
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