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Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.

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UV-Resistant Nanostructured Anti-reflective Film for Achieving Efficiency Enhancement of Perovskite Solar Cells and Potential of Fabricating Large-Scale Cu(In, Ga)Se Solar Cells.

ACS Appl Mater Interfaces

January 2025

Guangxi Key Laboratory of Optical and Electronic Material and Devices, School of Materials Science and Engineering, Guilin University of Technology, 12 Jiangan Road, Guilin, Guangxi 541004, China.

Sticker-type transparent antireflective film (STAF) is applied to perovskite solar cells (PSCs) to reduce the reflection and improve the light-trapping ability of PSCs. However, the development of STAF is hindered by many factors, such as expensive materials, low actual service life, unsatisfactory antireflective effect, and a lack of research on stability. This work proposes an ultraviolet (UV)-resistant enhanced sticker-type nanostructure acrylic resin antireflective film (SNAAF), which is applied to the incident surface of PSCs.

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Objectives: This fourth report aimed to provide insights into patient characteristics, outcomes, and standardized outcome ratios of patients implanted with durable Mechanical Circulatory Support across participating centers in the European Registry for Patients with Mechanical Circulatory Support (EUROMACS) registry.

Methods: All registered patients receiving durable mechanical circulatory support up to August 2024 were included. Expected number of events were predicted using penalized logistic regression.

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Background: People with the chronic disease Multiple Sclerosis are subjected to different degrees of profound uncertainty. Uncertainty has been linked to adverse psychological effects such as feelings of heightened vulnerability, avoidance of decision-making, fear, worry, anxiety disorders, and even depression. Research into Multiple Sclerosis has a predominant focus on the scientific, practical, and psychosocial issues of uncertainty.

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Objective: To assess the attitude and practices towards the Tobacco Cessation Counselling and Nicotine Replacement Therapy and identify the possible barriers towards the implementation of these practices amongst Private dental practitioners of North, India.  Methodology: A cross sectional web based survey using 33 item pre-tested self administered questionnaire was conducted. A total of 250 valid responses were received and were available for analysis.

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