Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study by Bernard A Fox, Chichung Wang, Kristin Roman, Carla Coltharp, Carmen Ballesteros-Merino, Shawn M Jensen, Janis M Taube, David L Rimm, Cliff Hoyt, Mei Jiang, Edwin R Parra, Ignacio Wistuba, Elizabeth L Engle, John McGuire, Bethany Remeniuk, Darren Locke

“…Background Emerging data suggest predictive biomarkers based on the spatial arrangement of cells or coexpression patterns in tissue sections will play an important role in precision immuno-oncology. …”
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An Approach for Multi-Source Land Use and Land Cover Data Fusion Considering Spatial Correlations by Jing Yang, Yiheng Jiang, Qirui Song, Zheng Wang, Yang Hu, Kaiqiang Li, Yizhong Sun

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FEATURES OF LOCAL IMMUNITY IN PATIENTS WITH OROPHARYNGEAL CANCER by O. I. Keith, M. N. Tilliashaihov, P. V. Svetitsky, E. Yu. Zlatnik, G. I. Zakora, A. A. Ganiev, G. P. Nistratov

“…Modern laboratory techniques allow predicting patient’s condition before and during the course of treatment; they were implemented into clinical practice for successful treatment correction. …”
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Pulmonary Hemodynamic Correlates and Prognostic Value of the Cardiopulmonary Exercise Score in Patients With Left Heart Failure by Qianqian Chen, Wande Yu, Peipei Cheng, Mengyu Zhang, Wei Li, Dandan Wei, Hang Zhang, Hanjia Gao, Xiaoxia Fu

“…The objective of this study is to develop an algorithm by using data from cardiopulmonary exercise testing (CPET) to assess the severity of pulmonary hemodynamics and predict clinical worsening and mortality in patients with heart failure. …”
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Research on Model Reconstruction Methods for Partial Point Cloud Information Loss by Zhengping CHANG, Guoshuai YUAN, Jiuhua LI, Yang ZHAO, Zhongqi WANG

“…Finally, the scanned point cloud carried on region partition, and the Interactive Closest Point (ICP) algorithm was utilized to match the scanned area with the theoretical model. …”
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Forecasting Spatiotemporal Dynamics of Daytime Surface Urban Cool Islands in Response to Urbanization in Drylands: Case Study of Kerman and Zahedan Cities, Iran by Mohammad Karimi Firozjaei, Naeim Mijani, Solmaz Fathololoumi, Jamal Jokar Arsanjani

“…Various methods, including a random forest algorithm, spectral indices, Cellular Automata-Markov (CA-Markov) model, the cross-tabulation model, and spatial overlay and zonal statistics, were employed to assess and model the spatiotemporal changes in SUCII. …”
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Enhanced Conformer-Based Speech Recognition via Model Fusion and Adaptive Decoding with Dynamic Rescoring by Junhao Geng, Dongyao Jia, Zihao He, Nengkai Wu, Ziqi Li

“…Second, for the decoding phase, we design a dynamic adaptive decoding method that combines traditional decoding algorithms such as connectionist temporal classification and attention-based models. …”
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Assessing the Severity of ODT and Factors Determinants of Late Arrival in Young Patients with Acute Ischemic Stroke by Zhu L, Li Y, Zhao Q, Li C, Wu Z, Jiang Y

“…Enhanced public education, particularly regarding stroke symptoms and the use of emergency services, is crucial for reducing pre-hospital delays and improving patient outcomes.Keywords: acute ischemic stroke, onset-to-door time, young adults, machine learning, emergency medical services…”
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Scoring model for exploring factors influencing mortality in dengue patients at a tertiary care hospital: a retrospective study by Abhishek S. Rao, B. H. Karthik Pai, K. Adithi, Lakshmi Belur Keshav, Karan Malhotra, Sneha Nayak, H. K. Sachidananda

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APPLICATION ELEMENTS OF LITHOTHERAPY IN COMPLEX TREATMENT OF NEUROPATHY FACIAL NERVE by V.L. Melnik, V.K Shevchenko, E.V. Shevchenko, I.V. Melnik

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Peptide inhibitors of the anaphase promoting-complex that cause sensitivity to microtubule poison. by Scott C Schuyler, Yueh-Fu Olivia Wu, Hsin-Yu Chen, Yi-Shan Ding, Chia-Jung Lin, Yu-Ting Chu, Ting-Chun Chen, Louis Liao, Wei-Wei Tsai, Anna Huang, Lin-Ing Wang, Ting-Wei Liao, Jia-Hua Jhuo, Vivien Cheng

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Can vegetation breakpoints in Eastern Mongolia rangeland be detected using Sentinel-1 coherence time series data? by Shuxin Ji, Ganzorig Gonchigsumlaa, Sugar Damdindorj, Tserendavaa Tseren, Densmaa Sharavjamts, Amartuvshin Otgondemberel, Enkh-Amgalan Gurjav, Munguntsetseg Puntsagsuren, Batnaran Tsabatshir, Tumendemberel Gungaa, Narantsetseg Batbold, Lukas Drees, Bayarchimeg Ganbayar, Dulamragchaa Orosoo, Bayartsetseg Lkhamsuren, Badamtsetseg Ganbat, Myagmarsuren Damdinsuren, Gantogoo Gombosuren, Batnyambuu Dashpurev, Thanh Noi Phan, Nandintsetseg Dejid, Thomas Müller, Lukas Lehnert

“…In drier and less intensively used areas, the predicted pattern agrees less with the known movements. …”
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Disinformation in the Digital Age: Climate Change, Media Dynamics, and Strategies for Resilience by Andrea Tomassi, Andrea Falegnami, Elpidio Romano

“…Our findings indicate that social media algorithms and user dynamics can amplify false scientific claims, as seen in case studies of viral misinformation campaigns on vaccines and climate change. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

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The Philosophy of Semar as an Ethical Framework for the Use of Artificial Intelligence by Mohamad Khusnial Muhtar, Naufal Robbiqis Dwi

“…The Waspada principle highlights the&nbsp;</span><span style="font-size: 1rem;">importance of risk mitigation, addressing challenges such as algorithmic bias, privacy concerns, and&nbsp;</span><span style="font-size: 1rem;">unequal access to technology. 2) The integration of these ethical values presents an opportunity for&nbsp;</span><span style="font-size: 1rem;">strategic collaboration among developers, users, and policymakers to craft regulations that harmonize&nbsp;</span><span style="font-size: 1rem;">global standards with local wisdom, reinforcing the importance of culture-based ethics education. 3) Key&nbsp;</span><span style="font-size: 1rem;">challenges in implementation include limited cultural awareness in AI ethics discourse, resource&nbsp;</span><span style="font-size: 1rem;">constraints, and difficulties in aligning local ethical values with global regulatory frameworks. …”
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Heavy metal biomarkers and their impact on hearing loss risk: a machine learning framework analysis by Ali Nabavi, Mohammad Kashkooli, Sara Sadat Nabavizadeh, Farimah Safari

“…Multiple machine learning algorithms, including Random Forest, XGBoost, Gradient Boosting, Logistic Regression, CatBoost, and MLP, were optimized and evaluated. …”
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Implementasi Algoritma AES 256 CBC, BASE 64, Dan SHA 256 dalam Pengamanan dan Validasi Data Ujian Online by Ferzha Putra Utama, Gusman Wijaya, Ruvita Faurina, Arie Vatresia

“…Abstract There are various ways to organize exams at the higher education level. During the Covid-19 pandemic, the online examination method has become widely used. …”
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La Teoría del andamiaje como herramienta de construcción del pensamiento matemático by Cesar Orlando Vargas Mantilla, Sonia Maritza Mendoza Lizcano, Wlamyr Palacios Alvarado

“…Therefore, it is necessary to analyze the teaching-learning processes, and more specifically, the construction of mathematical thinking, from an innovative and agile perspective that breaks with traditional learning patterns of repeating algorithms and implementing formulas. The concept of scaffolding is presented as a tool for knowledge appropriation, as a social way of learning and capturing mathematical knowledge, skills, and abilities. …”
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