Non-Thrombotic Filling Defects in Cerebral Veins and Sinuses: When Normal Structures Mimic a Disease by Marialuisa Zedde, Rosario Pascarella

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Adaptive Neural Control with Prespecified Tracking Accuracy for a Class of Switched Systems Subject to Input Delay by Xu Zhang, Jian Wu, Wu Ai, Jing Li

“…To achieve this aim, some nonnegative switching functions are introduced to replace the conventional Lyapunov function. In addition, neural networks are used to approximate the unknown simultaneous domination functions. …”
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Law of conservation-guided neural network with gradient aggregation for improved energy efficiency optimization in industrial processes by Santi Bardeeniz, Chanin Panjapornpon, Moonyong Lee

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Distinct spatiotemporal patterns between fungal alpha and beta diversity of soil–plant continuum in rubber tree by Yaqing Wei, Zhixiang Wu, Guoyu Lan

“…The season-specific environmental factors (e.g., climatic factors) were the most important factors in shaping fungal alpha diversity across the soil–plant continuum. …”
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Shift in the profile and prognostic implications in invasive fungal rhinosinusitis: experience of 10 years in a tertiary center by Raúl Mellidez-Acosta, Lidia Torres-García, Miguel Saro-Buendía, Natalia Jaramillo-Ángel, Javier Cabrera-Guijo, Catalina Bancalari-Díaz, Noelia Muñoz-Fernández, Lucas Fito-Martorell, Miguel Armengot-Carceller, Alfonso García-Piñero

Subjects: “…Acute invasive fungal rhinosinusitis…”
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Retracted: Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA by Journal of Function Spaces

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Breakthrough Filamentous Fungal Infections in Pediatric Hematopoetic Stem Cell Transplant and Oncology Patients Receiving Caspofungin by Shaun K Morris, Upton D Allen, Sumit Gupta, Susan E Richardson

“…BACKGROUND: Caspofungin is an echinocandin class antifungal medication that is commonly used empirically in immunocompromised patients at high risk for invasive fungal disease.…”
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Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis by Ramasamy Srinivasagan, Mohammed Shawky El Sayed, Mohammed Ibrahim Al-Rasheed, Ali Saeed Alzahrani

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Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Chaofeng Wang, Yu Mao, Zhenghai Liu

“…In the present study, an innovative Adam-optimized BP neural network model is developed for detecting unauthorized movements of radioactive material packages. …”
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Involvement of PPARs in Cell Proliferation and Apoptosis in Human Colon Cancer Specimens and in Normal and Cancer Cell Lines by G. Martinasso, M. Oraldi, A. Trombetta, M. Maggiora, O. Bertetto, R. A. Canuto, G. Muzio

“…“In vitro” PPARγ and PPARα were evaluated in human tumor and normal cell lines, treated with natural or synthetic ligands. …”
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Optimization of Video Stimuli Parameters in EMDR Therapy Using Artificial Neural Networks for Enhanced Treatment Efficacy by Jungho Suh, Sungbok Chang, Hyunjun Park

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Periradicular Tissue Responses to Biologically Active Molecules or MTA When Applied in Furcal Perforation of Dogs' Teeth by Anna Zairi, Theodoros Lambrianidis, Ourania Pantelidou, Serafim Papadimitriou, Dimitrios Tziafas

“…None of the biologically active molecules can be suggested for repairing furcal perforations, despite the fact that growth factors exerted a clear stimulatory effect on cementum formation and inhibited collagen capsule formation. …”
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Accurate prediction for electro-oxidation regeneration of chromium- containing waste acid based on artificial neural network by SHI Yaqi, MENG Guangyuan, CHEN Peng, ZHANG Xinwan, FU Tao, YANG Zhengwu, ZHANG Liansheng, ZHANG Lehua

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Rough Set Neural Network Feature Extraction and Pattern Recognition of Shaft Orbits Based on the Zernike Moment by Xinfeng Ge, Jing Zhang, Ye Zhou, Jianguo Cai, Hui Zhang, Hongchang Hua, Dong Chen, Ming Zhao, Jinqi Du, Yuan Zheng

“…In getting the feature extraction and pattern recognition of a shaft orbit, the Zernike moment is better than the Hu moment; it has the advantages of a small calculation error and a high recognition rate. A rough set neural network (RS-BP hybrid model) of shaft orbit recognition is established, which uses just 13 moment eigenvalues reserved by the rough set feature selection algorithm as input variables; it has the same calculation error and recognition rate and reduces the calculation time step. …”
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GWAS of a soybean breeding collection from South East and South Kazakhstan for resistance to fungal diseases by A. Zatybekov, S. Abugalieva, S. Didorenko, A. Rsaliyev, Y. Turuspekov

“…One of the main problems of soybean production is fungal diseases causing yields losses of up to 30 %. …”
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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

Subjects: “…broad-spectrum resistance against fungal diseases…”
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Integration of Artificial Neural Network and Taguchi Method for Prediction and Minimisation of Thick-Walled Polypropylene Gear Shrinkage by Bikram Singh Solanki, Devi Singh Rawat, Harpreet Singh, Tanuja Sheorey

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Spermatozoal Fractalkine Signaling Pathway Is Upregulated in Subclinical Varicocele Patients with Normal Seminogram and Low-Level Leucospermia by Salwa M. Abo El-khair, Mohammad A. Gaballah, Mamdouh M. Abdel-Gawad, Sherif Refaat M. Ismail, Ayman Z. Elsamanoudy

“…To investigate the possible effect of low-level leucospermia on spermatozoa oxidative stress and sDNA fragmentation in patients with subclinical varicocele and apparently normal seminogram, and also to study the role of spermatozoal fractalkine and its receptor (CX3CR1) gene expression as a marker of spermatozoa inflammatory response. …”
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The New Normal in Pastoral Care: The Enduring Legacy of Media Appropriation in the Post-Pandemic Roman Catholic Church by Giulia Isetti, Michael de Rachewiltz, Harald Pechlaner

“…A comparison of the two waves of interviews shows that in the new normal, there has been an acceleration of the adoption of ICT and AI, primarily for internal communication purposes. …”
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Neural Networks Based Adaptive Consensus for a Class of Fractional-Order Uncertain Nonlinear Multiagent Systems by Jing Bai, Yongguang Yu

“…Due to the excellent approximation ability, the neural networks based control method is used to achieve adaptive consensus of the fractional-order uncertain nonlinear multiagent systems with external disturbance. …”
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