Application of heteroduplex analysis for CALR mutation screening detection in patients with Ph-myeloproliferative neoplasms by T. N. Subbotina, D. V. Kurochkin, I. E. Maslyukova, A. S. Khazieva, E. V. Vasiliev, M. A. Mikhalev, E. A. Dunaeva, K. O. Mironov

“…The proposed variant of the heteroduplex analysis with separation of the PCR product by electrophoresis on non-denaturing PAGE can be recommended for use as the preliminary screening test which is carried out before the confirming sequencing methods for the different indels (or combinations thereof) CALR mutations determine.The presence of heteroduplexes indicates the presence of a mutation, even if the mutant product is not visualized (in case of small mutations).…”
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Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs by Yinbo Liu, Qi Wu, Le Zhou, Yuchen Liu, Chao Li, Zhuoyu Wei, Wei Peng, Yi Yue, Xiaolei Zhu

“…These results confirm the superior performance of DiGAMN and its disentangling method. Additionally, various ablation studies were conducted to validate the contributions of different modules within the framework, and’s encoding statuses and memory units of DiGAMN were visualized to explore the utility and functionality of its modules. …”
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Infection with hepatitis C virus as a cause of cirrhosis – case study by Lidia Sierpińska, Małgorzata Januszek

“…Anti-HCV antibodies were present. The method was a case study, the technique – analysis of records the research tool – case history with the results of diagnostic tests, visual analogue scale (VAS) measuring pain intensity, the Hamilton Depression Rating Scale, fluid balance chart, and an author-constructed questionnaire to be completed by the patient; Results. …”
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The Influence of Electronic Word-of-Mouth (eWOM) on Promoting Sustainable Tourism in Bangladesh by Mitanur Rahman, Md. Nasir Mia

“…This study is aimed at exploring the influence of eWOM on promoting sustainable tourism in Bangladesh. A mixed-method approach is used in the study, considering both qualitative and quantitative data analysis. …”
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A Tool for Thyroid and Breast Punch Biopsy by Z. M. Sigal, O. V. Surnina

“…A novel punch biopsy method is developed basing on the oscillation amplitude and tissue optical density determination. …”
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Redesign of the user interface for the career development center (CDC) website, Telkom University Bandung by Ahmad Aqil Muntaz, I Dewa Alit Dwija Putra, Ananda Risya Triani

“…However, based on the results of the observation, issues were found on the website, including a user interface that is considered neither informative nor visually appealing. Considering the main function of this website is as a center for information and interaction among the academic community, a redesign of the CDC Telkom University website is necessary using a design thinking approach as the design method. …”
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Deep Learning-Based Safety Helmet Detection in Engineering Management Based on Convolutional Neural Networks by Yange Li, Han Wei, Zheng Han, Jianling Huang, Weidong Wang

“…The presented method uses the SSD-MobileNet algorithm that is based on convolutional neural networks. …”
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A GPSR-Based Sparse ECG Signal Recovery Approach for Hybrid Compressive Sensing Framework and Its Classification Using Deep Convolution Neural Network by Subramanyam Shashi Kumar, Prakash Ramachandran

“…The proposed hybrid CS method performs better than the conventional non hybrid method for all the performance metrics and the classification results are better than other existing state of art methods for category 2) & 3). …”
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TI-RADS CLASSIFICATION SYSTEM AND ITS FIRST APPLICATION IN THE ULTRASOUND DIAGNOSIS DEPARTMENT IN THE MULTI-SPECIALITY HOSPITAL by A. A. Kvasova, A. N. Katrich

“…Ultrasonic examination is a most wide-spread method for thyroid gland visualizing and its structural pathology. …”
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ALE interpretability analysis based on machine learning MOFs adsorption of tetracycline antibiotics in water by Zhang Canhui, Wang Sitan

“…The adsorption of TCs in water by metal-organic framework materials has been proved to be an efficient removal method. In this study, machine learning (ML) method was used to train MOFs to adsorb TCs, and a ML model was obtained to accurately predict the adsorption of TCs by MOFs. …”
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Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

“…Manual segmentation is time-consuming and operator-dependent, fostering interest in automated methods. This study proposes an automated segmentation method based on a 3D U-Net convolutional neural network to segment the femur, tibia, and patella from low-field MRI scans. …”
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The Components of Effective Advertising Message of Candidates in Presidential Elections: A Case Study of Instagram by Ziba Amirkhani, Ali Akbar Farhangi, Omid Masoudi

“…Therefore, the purpose of the current research is to identify and provide indicators related to the production of content or effective Instagram advertising messages of candidates during the presidential elections. Methods: The research method was a qualitative approach and data analysis was done through in-depth interviews (semi-structured open questions), coding (open, selective and axial). …”
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The Analysis of Morphological and Genetic Characteristics of Yellowstripe Scad from Muara Baru Modern Fish Market in North Jakarta by Rahmat Sawalman, Hawis Madduppa

“…The morphological analysis utilized a visual identification method, and morphometric measurement, while molecular analysis with DNA barcoding em- ployed the mitochondrial cytochrome oxidase subunit I (COI) gene. …”
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Natural sounds can be reconstructed from human neuroimaging data using deep neural network representation. by Jong-Yun Park, Mitsuaki Tsukamoto, Misato Tanaka, Yukiyasu Kamitani

“…Leave-category-out analyses indicated that the method generalizes across sound categories. Reconstructions at higher DNN layers and from early auditory regions revealed distinct contributions to decoding performance. …”
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Implementation of the Advanced Encryption Standard (AES) Algorithm and Bit Plane Complexity Segmentation (BPCS) Steganography Technique for Enhancing Text File Security by Afthar Kautsar, Muhammad Ikhsan

“…The results indicate that this method effectively maintains data security and confidentiality. …”
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Real‐time estimation of olive flounder growth in indoor aquaculture using cameras combined with a grid by Hang Thi Phuong Nguyen, Myoungjae Jun, Hieyong Jeong

“…Hence, this study proposed a visual‐information‐based method for measuring olive flounder (Paralichthys olivaceus) length, using accurate growth tracking for efficient aquaculture management. …”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…While traditional methods such as visual inspection and endoscopy are used to observe tool conditions, they cannot be performed in real-time during welding operations. …”
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Deep Reinforcement-Learning-Based Air-Combat-Maneuver Generation Framework by Junru Mei, Ge Li, Hesong Huang

“…The experimental results show that the operational success rate of the proposed method against the game theory baseline reaches 85.7%. …”
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Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning by Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita

“…The motivation behind this research is the need for non-intrusive, privacy-preserving occupancy monitoring in sensitive indoor settings, where traditional camera-based solutions may be unsuitable. Our method leverages the deformations that BLE signals undergo when interacting with the human body, enabling occupant detection and counting without requiring wearable devices or visual tracking. …”
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Pedagogical applications of all-atom molecular dynamics simulation in coal seam seepage mechanics by Haiming Yu, Haochun Ma, Yao Xie

“…Compared to traditional experimental demonstrations or theoretical deduction methods, the AAMD method can intuitively and dynamically reveal molecular scale interactions and structural evolution, transforming abstract mechanisms into visual teaching content and effectively reducing the difficulty of understanding complex mechanisms. …”
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