Prevalence and risk factors of hypertensive retinopathy in South Korea based on national health survey data by Si-Hoon Park, Dongjin Nam, Joon Yul Choi, Tae Keun Yoo

“…Future research should explore retinal image analysis and longitudinal datasets to enhance early detection and clarify the systemic implications of hypertensive retinopathy.…”
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A Hybrid KAN-BiLSTM Transformer with Multi-Domain Dynamic Attention Model for Cybersecurity by Aleksandr Chechkin, Ekaterina Pleshakova, Sergey Gataullin

“…With the exponential growth of cyberbullying cases on social media, there is a growing need to develop effective mechanisms for its detection and prediction, which can create a safer and more comfortable digital environment. …”
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Multifactorial risk stratification for central lymph node metastasis in papillary thyroid carcinoma: a predictive model integrating clinical and tumor characteristics by Huaiyu Yang, Liyuan Wei, Jiaxin Qian, Wensheng Liu

“…After variable screening, the selected variables were included in logistic regression analysis, and a Nomogram prediction model was constructed according to the analysis results. …”
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ORTHOSTATIC HYPOTENSIVE REACTIONS IN ELDERLY AND SENILE PATIENTS WITH ARTERIAL HYPERTENSION by I. V. Atyunina, E. V. Oshchepkova, A. N. Rogoza

“…In addition, there are still a number of unresolved issues regarding the detection of OHR in this category of patients and the determination of treatment tactics. …”
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Classification of wheat flour levels in powdered spices using visual imaging by Kamran Kheiralipour, Mohammad Hossein Nargesi

“…The present research aims to investigate the ability of image processing in the detection of wheat flour adulterant in different spices. …”
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Routing Attacks and Countermeasures in the RPL-Based Internet of Things by Linus Wallgren, Shahid Raza, Thiemo Voigt

“…Furthermore, we highlight novel security features in the IPv6 protocol and exemplify the use of these features for intrusion detection in the IoT by implementing a lightweight heartbeat protocol.…”
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The Importance of Dust Distribution in Ionizing-photon Escape: NIRCam and MIRI Imaging of a Lyman Continuum-emitting Galaxy at z ∼ 3.8 by Zhiyuan Ji, Stacey Alberts, Yongda Zhu, Eros Vanzella, Mauro Giavalisco, Kevin Hainline, William M. Baker, Andrew J. Bunker, Jakob M. Helton, Jianwei Lyu, Pierluigi Rinaldi, Brant Robertson, Charlotte Simmonds, Sandro Tacchella, Christina C. Williams, Christopher N. A. Willmer, Joris Witstok

“…We report the first detection of dust emission at rest-frame ∼3 μ m in a high-redshift LyC-emitting galaxy using MIRI/F1500W. …”
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Initially, the image pre-processing stage applies the Wiener filtering (WF) method to improve the quality of an image and make it more suitable for analysis by removing the noise. In addition, the vision transformer (ViT) method is employed for the feature extraction process. …”
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Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging by Vijaya Bhaskar Sadu, Sathvik Bagam, Mohd Naved, Siva Krishna Reddy Andluru, Kamalakar Ramineni, Meshal Ghalib Alharbi, Sudhakar Sengan, Rahmaan Khadhar Moideen

“…Magnetic Resonance Imaging (MRI) is a vital tool for diagnosing and visualizing these ND; however, standard techniques contingent upon human analysis can be inaccurate, require a long-time, and detect early-stage symptoms necessary for effective treatment. …”
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Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm by Ghada Moh. Samir Elhessewi, Mohammed Yahya Alzahrani, Mohammad Alamgeer, Abdulbasit A. Darem, Da’ad Albalawneh, Mohammed Alqahtani, Mutasim Al Sadig, Sultan Alanazi

“…Recently, computer-aided diagnosis (CAD) approaches have been effectively employed to detect skin cancers in dermatoscopic imaging. The CAD-based techniques will be beneficial for helping professionals detect and classify skin lesions. …”
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Deciphering a profiling based on multiple post-translational modifications functionally associated regulatory patterns and therapeutic opportunities in human hepatocellular carcino... by Yuanxiang Lao, Yirong Jin, Songfeng Wu, Ting Fang, Qiang Wang, Longqin Sun, Beicheng Sun

“…Results We detected robust preferences in locations of intrinsically disordered protein regions (IDRs) with phosphorylated sites and other site biases to locate in folded regions. …”
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Urban Sprawl Monitoring by VHR Images Using Active Contour Loss and Improved U-Net with Mix Transformer Encoders by Miguel Chicchon, Francesca Colosi, Eva Savina Malinverni, Francisco James León Trujillo

“…This paper proposes an approach for the semantic segmentation of very-high-resolution (VHR) satellite imagery to detect the changes in urban sprawl in the surroundings of Chan Chan, a UNESCO World Heritage Site in Peru. …”
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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image by Xiaoqin Wu, Dacheng Wang, Caihong Ma, Yi Zeng, Yongze Lv, Xianmiao Huang, Jiandong Wang

“…The improved YOLOv5s module integrates Efficient Channel Attention (ECA) and BiFPN to boost feature extraction and small-object recognition, while Soft-NMS is used to reduce missed detections. …”
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Reverse Shock Emission from Misaligned Structured Jets in Gamma-Ray Bursts by Sen-Lin Pang, Zi-Gao Dai

“…In this paper, we investigate the contribution of the reverse shock to the GRB afterglows observed off-axis. In our analysis, we consider jets with different angular profiles, including two-component jets, power-law structured jets, Gaussian jets, and “mixed jets” featuring a Poynting-flux-dominated core surrounded by a baryonic wing. …”
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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…The proposed BILSTM classifier captures the temporal features and their long term dependencies from the processed PF data samples and detects single and simultaneously occurring twenty complex power quality disturbances in the grid connected mode and five PQDs during uncertain PV insolence variation and load and capacitor switching during islanded mode of microgrid operation with significant accuracy of 99.90%.…”
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Asymmetric Network Based on CNN and Attention Mechanisms for Thyroid Nodule Segmentation by Zhiheng Zhang, Lin Li, Cheng Zhao, Peng Ren, Ran Zhang

“…Thyroid nodules are detected in up to 65% of the general population, and their early identification is clinically significant for formulating personalized treatment plans. …”
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Paucity of CD4+ natural killer T (NKT) lymphocytes in sooty mangabeys is associated with lack of NKT cell depletion after SIV infection. by Namita Rout, James G Else, Simon Yue, Michelle Connole, Mark A Exley, Mark A Exley, Amitinder Kaur

“…In a cross-sectional analysis of 50 SIV-negative and 50 naturally SIV-infected sooty mangabeys, ligand alpha-galactosylceramide loaded CD1d tetramers co-staining with Valpha24-positive invariant NKT lymphocytes were detected at frequencies >or=0.002% of circulating T lymphocytes in approximately half of the animals. …”
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The Leaching of Natural Dyes from Avocado (Persea Americana Mill) Seeds Using the Ultrasonic-Assisted Extraction Method and Its Application to Cellulose Fibers by Herti Utami, Veni Tri Agustin, Luthfiah Novirianti, Yuli Darni, Donny Lesmana, Ryosuke Takagi

“…The compound contains a chromophore, such as a carbonyl group (C = O) which is a common feature of flavonoids.…”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…Leveraging deep learning models, it becomes feasible to detect and forecast the early stages of numerous diseases based on individual health conditions. …”
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Evaluation of maxillary sinus pathologies and the posterior superior alveolar artery canal using cone-beam computed tomography by Melike Gulec, Veysel Icen, Elif Esra Ozmen

“…Materials and methods This retrospective study is based on the analysis of Cone-Beam Computed Tomography (CBCT) data from 510 sinuses of 255 patients. …”
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