The utilization of neural networks in assisted reproductive technology is essential due to their ability to process complex and multidimensional data inherent in IVF procedures, offering opportunities for clinical outcome prediction, personalized treatment implementation, and overall advancement in fertility treatment. The aim of this study was to develop a novel approach to IVF laboratory data analysis, employing deep neural networks to predict the likelihood of clinical pregnancy occurrence within an individual treatment cycle, integrating both key performance indicators and clinical data. We conducted a retrospective analysis spanning 11 years, encompassing 8732 treatment cycles, to extract the most relevant features to our goal and train the model.
View Article and Find Full Text PDFControlling audible sound requires inherently broadband and subwavelength acoustic solutions, which are to date, crucially missing. This includes current noise absorption methods, such as porous materials or acoustic resonators, which are typically inefficient below 1 kHz, or fundamentally narrowband. Here, we solve this vexing issue by introducing the concept of plasmacoustic metalayers.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2023
The purpose of the study is to test the role of energy development in energy financing considerations for sustainable energy innovation and financial development. To achieve the study objective, a fuzzy decision-making modeling technique is applied. The results revealed that bank loans are now the main source of financing for innovation and creativity in Chinese business entities.
View Article and Find Full Text PDFEndoscopic self-expandable metallic stent (SEMS) decompression in patients with bowel obstruction due to colon carcinoma has been practiced for over two decades now, both in potentially curable cases and metastatic cancer. Using this case series, we aim to review the literature on the subject and to present our initial experience with using this technique as a bridge to single stage surgery, thus minimizing colostomy creation.
View Article and Find Full Text PDFVestn Otorinolaringol
May 2021
The authors of the article reviewed acoustic research methods in otorhinolaryngology. All acoustic diagnostic methods are divided into active and passive. Active acoustic methods are based on the emission of acoustic vibrations, in some cases with the subsequent reception and processing of reflected vibrations.
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