Roles of Mesenchymal Stem Cells in Spinal Cord Injury by Jing Qu, Huanxiang Zhang

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The Machine as an Autonomous Explanatory Agent by Dilek Yargan

“…The holy grail of Artificial Intelligence (AI) is to transform the machine into an agent that can decide, make inferences, cluster the contents, predict, recommend, and exhibit similar higher cognitive faculties. …”
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Vietnamese Sentiment Analysis under Limited Training Data Based on Deep Neural Networks by Huu-Thanh Duong, Tram-Anh Nguyen-Thi, Vinh Truong Hoang

“…The annotated dataset is an essential requirement to develop an artificial intelligence (AI) system effectively and expect the generalization of the predictive models and to avoid overfitting. …”
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The Linear Span of Projections in AH Algebras and for Inclusions of C*-Algebras by Dinh Trung Hoa, Toan Minh Ho, Hiroyuki Osaka

“…In the first part of this paper, we show that an AH algebra A=lim→(Ai,ϕi) has the LP property if and only if every element of the centre of Ai belongs to the closure of the linear span of projections in A. …”
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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…Autonomous vehicles (AVs), particularly self-driving cars, have produced a large amount of interest in artificial intelligence (AI), intelligent transportation, and computer vision. …”
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FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

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Precision fetal cardiology detects cyanotic congenital heart disease using maternal saliva metabolome and artificial intelligence by Ray Bahado-Singh, Nadia Ashrafi, Amin Ibrahim, Buket Aydas, Ali Yilmaz, Perry Friedman, Stewart F. Graham, Onur Turkoglu

“…Metabolomic analyses using Ultra-High Performance Liquid Chromatography/Mass Spectrometry identified 468 metabolites in the saliva. Six different AI platforms were utilized for the detection of CCHD and CHD overall. …”
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CPW-Fed Dual Band Flexible Antenna for Energy IoT Applications at 380/940 MHz by Soyeong Lee, Sangjoon do, Hoosung Lee, Daeyeong Yoon, Yong Bae Park

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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

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Artificial intelligence‐based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus by Yoo Hyung Kim, Ji Won Yoon, Bon Hyang Lee, Jeong Hee Yoon, Hun Jee Choe, Tae Jung Oh, Jeong Min Lee, Young Min Cho

“…ABSTRACT Aim/Introduction We assess the efficacy of artificial intelligence (AI)‐based, fully automated, volumetric body composition metrics in predicting the risk of diabetes. …”
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Activity of alkanmonooxygenase <i>alk</i>B gene in strains of hydrocarbon-oxidizing bacteria isolated from petroleum products by T. N. Shapiro, N. A. Manucharova, E. S. Lobakova

“…In the strains of hydrocarbon-oxidizing bacteria isolated from gasoline AI- 95, this alkanmonooxygenase gene was not detected. …”
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Anatomical Covariance Analysis: Detection of Disrupted Correlation Network Related to Clinical Trait Fatigue in Multiple Sclerosis: A Pilot Study by Rosalia Dacosta-Aguayo, Glenn Wylie, John DeLuca, Helen Genova

“…In the VBM analysis, when considering the whole sample of PwMS, higher levels of trait fatigue were negatively associated with grey matter (GM) volume in the left dorsal anterior insula (dAI) (rho=−0.647; p=0.002; R2=0.369). When comparing nF-MS versus F-MS, significant differences were found in the left dAI, where the F-MS group showed less GM volume in the left dAI. …”
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Efficacy of pegylated interferon alfa-2b «Algeron» in the treatment of chronic hepatitis C by M. V. Mayevskaya, O. O. Znoyko, E. A. Klimova, S. L. Maximov, S. N. Kizhlo, N. A. Petrochenkova, F. I. Nagimova, R. A. Ivanov, Yu. N. Linkova, T. V. Chernovskaya

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Selective state models are what you need for animal action recognition by Edoardo Fazzari, Donato Romano, Fabrizio Falchi, Cesare Stefanini

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Empowering Security Operation Center With Artificial Intelligence and Machine Learning&#x2014;A Systematic Literature Review by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Finally, a case study is presented to describe the function of ML- and AI-powered SOC components to achieve optimum security. …”
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ChatGPT-4 Performance on German Continuing Medical Education—Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial by Christian Burisch, Abhav Bellary, Frank Breuckmann, Jan Ehlers, Serge C Thal, Timur Sellmann, Daniel Gödde

“…ObjectiveUsing this approach, we wanted to test further possible applications of AI in the postgraduate medical education setting and obtain results for practical use. …”
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Chitosan-Based Semen Extenders: An Approach to Antibiotic-Free Artificial Insemination in Rabbit by Francisco Marco-Jiménez, Celia Ferriz-Nuñez, Maria Pilar Viudes-de-Castro, José Salvador Vicente, Laura Lorenzo-Rebenaque

“…Among these, chelating agents, like ethylenediaminetetraacetic acid (EDTA) and Chitosan, have shown potential in reducing bacterial contamination in seminal doses used in artificial insemination (AI), while preserving sperm quality. The objective of this study was to evaluate the potential use of EDTA and Chitosan as alternatives to antibiotics for the liquid storage of rabbit seminal AI doses. …”
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Methodical approaches to identification of effective wheat genes providing broad-spectrum resistance against fungal diseases by E. S. Skolotneva, I. N. Leonova, E. Yu. Bukatich, E. A.  Salina

“…Markers to the genes Lr6Ai#2/Sr6Ai#2/Pm6Ai#2 transferred from Thinopyrum intermedium into the genomes of Russian wheat varieties and markers to a new translocation from Aegi lops spel toides with a group of genes, designated as LrAsp7/SrAsp7/PmAsp7, were tested. …”
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Community benefits of mass distribution of three types of dual-active-ingredient long-lasting insecticidal nets against malaria prevalence in Tanzania: evidence from a 3-year clust... by Eliud Andrea Lukole, Jackie Cook, Jacklin F Mosha, Nancy S Matowo, Manisha A Kulkarni, Elizabeth Mallya, Tatu Aziz, Jacklin Martin, Mark Rowland, Immo Kleinschmidt, Alphaxard Manjurano, Franklin W Mosha, Natacha Protopopoff

“…Dual active ingredient LLINs (dual-AI LLINs) have been rolled out as an alternative to pyrethroid (PY)-only LLINs to counteract this. …”
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Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…This project utilizes the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve Autism Spectrum Disorder diagnosis and treatment. …”
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