Validation of Risk Scoring Systems in Predicting Adverse Cardiac Outcomes in Pregnant Women With Valvular Heart Disease by Malini Sukayogula, Tarakeswari Surapaneni, Anish Keepanasseril, Jue Li, Yang Pan

“…Individual risk assessment was conducted using both the CARPREG II and DEVI risk stratification models, while the ZAHARA score was calculated by aggregating weighted parameters according to established scoring criteria. …”
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Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy by Fares Al-Shargie, Usman Tariq, Saleh Al-Ameri, Abdalla Al-Hammadi, Schastlivtseva Daria Vladimirovna, Hasan Al-Nashash

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Optimizing spatial allocation schemes with a focus on carbon fixation services by the integration of GIS and a robust algorithmic approach by Eryan Guo, Jing He

“…The study took typical forest farms in southern China as the research area, constructed a multi-objective forest planning model based on Simulated Annealing Algorithm, and interfaced with geographic information systems. …”
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The president in Lithuanian political system: Search for position and power by Alvidas Lukošaitis

“…The „Premier - presidential" model, according to them, encompasses the following characteristics: 1) universal way of electing the President; 2) considerable powers of the president - that is, legislative, „extraordinary," etc. powers; the president deploys the right to nominate the prime-minister and, perhaps, some other ministers; 3) there also subsist the Premier and the Government, who are the subjects of the parliamentary confidence; 4) the President has the right (with, or without, limitations applied) to dissolve the Parliament (however, he has no right to dismiss the Government unless the Parliament agrees). …”
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Novas políticas sociais e complexidades em trono da equidade: um desafio para a teoria social by Daniel Fernando da Soledade Carolo

“…Thus we will discuss four dimensions: i) the political implications inherent in the transition of a welfare t workfare model, in the citizenship conception, because "activation" is the new paradigm of social policy orientation; ii) the classification of recent transformations, according to a Rawlsian conception of justice, it means, evaluating how social policies have been promoting equality, focused on people with less resources, and also an analysis to see if they have been promoting individual freedom (in a liberal sense: civil rights, autonomy to make decisions); iii) risk evaluation and equality complexities, for example, how the positive discrimination, founded in the equality principle, could be perverse and undermine the most important democratic assumption – equal condition in terms of citizenship; iv) articulation between different levels – European Social Model, social policy Europeanization and national welfare state reforms, exploring the hypothesis of contradictions between goals and outputs. …”
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Quantifying the Effects of Water Status on Grapevine Vegetative Growth, Yield, and Grape Composition Through a Collaborative Analysis by David Uriarte, Luis Gonzaga Santesteban, José Manuel Mirás-Avalos, Ignacio Buesa, Javier José Cancela, Juan Luis Chacón, José Mariano Escalona, Diego Sebastiano Intrigliolo, Miriam Lampreave, Amelia Montoro, Luis Rivacoba, Fernando Visconti, Jesús Yuste, Carlos Miranda

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Observed influence of nitroglycerine on myocardial perfusion scintigraphy in patients with multiple vessel coronary artery disease and well-developed collaterals by Nigora Rasulova, Lyudmila Nazirova, Khasan Akhmedov, Dilyafruz Akhmedova, Farrukh Djalalov, Amet Seydaliev, Farkhod Iskandarov, T. Kok

“…Arteries were divided into three groups: Donors (group I), recipients (group II), and arteries with limited or without collaterals (group III). …”
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Integrating Multiplex Immunohistochemistry and Machine Learning for Glioma Subtyping and Prognosis Prediction by Houshi Xu, Zhen Fan, Shan Jiang, Maoyuan Sun, Huihui Chai, Ruize Zhu, Xiaoyu Liu, Yue Wang, Jiawen Chen, Junji Wei, Ying Mao, Zhifeng Shi

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Quantifying training response in cycling based on cardiovascular drift using machine learning by Artur Barsumyan, Artur Barsumyan, Raman Shyla, Anton Saukkonen, Christian Soost, Jan Adriaan Graw, Rene Burchard, Rene Burchard, Rene Burchard

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Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study by Ningkun Xiao, Ningkun Xiao, Xinlin Huang, Yujun Wu, Baoheng Li, Wanli Zang, Khyber Shinwari, Khyber Shinwari, Irina A. Tuzankina, Valery A. Chereshnev, Valery A. Chereshnev, Guojun Liu

“…AI methodologies, especially machine learning (ML) and deep learning (DL), are predominantly applied in drug discovery and development, disease classification and prediction, immune response modeling, clinical decision support, diagnostics, healthcare system digitalization, and medical education. …”
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Semantic HBIM for Heritage Conservation: A Methodology for Mapping Deterioration and Structural Deformation in Historic Envelopes by Enrique Nieto-Julián, María Dolores Robador, Juan Moyano, Silvana Bruno

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Advancements in Parkinson’s Disease Diagnosis: A Comprehensive Survey on Biomarker Integration and Machine Learning by Ruchira Pratihar, Ravi Sankar

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Impact of human resources in the creative sphere on economic development by Nurbanu Khassenova, Gulsara Mukina, Lyudmila Popp, Saule Kaliyeva, Ardak Turginbayeva, Zhaxat Kenzhin

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Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study by Maryam Ramezani, Mohammadreza Mobinizadeh, Ahad Bakhtiari, Hamid R. Rabiee, Maryam Ramezani, Hakimeh Mostafavi, Alireza Olyaeemanesh, Ali Akbar Fazaeli, Alireza Atashi, Saharnaz Sazgarnejad, Efat Mohamadi, Amirhossein Takian

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Advancement of artificial intelligence based treatment strategy in type 2 diabetes: A critical update by Aniruddha Sen, Palani Selvam Mohanraj, Vijaya Laxmi, Sumel Ashique, Rajalakshimi Vasudevan, Afaf Aldahish, Anupriya Velu, Arani Das, Iman Ehsan, Anas Islam, Sabina Yasmin, Mohammad Yousuf Ansari

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Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective. by Muhammad Rehan Naeem, Rashid Amin, Muhammad Farhan, Faisal S Alsubaei, Eesa Alsolami, Muhammad D Zakaria

“…We have taken 1000 episodes for training the model and a further 1000 episodes for forecasting using the trained model. …”
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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…The main insights generated in the bibliometric analysis were (i) sustainable animal production changed from unidisciplinary science to multidisciplinary science linked to agricultural, environmental and engineering sciences, mainly to genetics and computing; (ii) the concept of sustainable animal production emerged from animal welfare and climate change concepts found in UN's 2030 Agenda; (iii) omics sciences, greenhouse gases, energy efficiency and animal welfare are the main keywords for bibliometric analyses in future studies related to sustainable animal production in the coming centuries; (iii) prediction and classification analyses, i.e., supervised machine learning models used as main tools in animal production; (iv) residual feed intake applied to measure sustainable feed efficiency in animal farming in the past and nowadays; and (v) The United States, China, Brazil and Australia are the main countries publishing studies on sustainability in animal production, but only China has been gaining prominence in publications in this field, in recent years, and it will turn this country into an emerging leader in future publications on this topic. …”
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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

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Book publishing and local government: the history of relations between publishers and regional administrations in Siberia and the Far East in the 90-ies of XX – 10-s of XXIst centu... by A. L. Posadskov

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Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques by Rami Mustafa A. Mohammad, Malak Aljabri, Menna Aboulnour, Samiha Mirza, Ahmad Alshobaiki

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