Abstract Background Propensity scores are widely used to deal with confounding bias in medical research.An incorrectly specified propensity score model may lead to residual confounding bias; therefore it is essential to use diagnostics to assess propensity scores in a propensity score analysis.The current use of propensity score diagnostics in the
The aim of this paper is to evaluate the evolution of export performance and competitiveness of Romanian agricultural trade, based on data provided by International Trade Centre.Agriculture represents an important sector for the economic and social development of a Tote Bag country, having a major impact on its evolution.The analysis reflects that
Penggunaan obat anti nyamuk berbahan dasar kimia marak dilakukan seiring meningkatnya populasi nyamuk demam berdarah (DBD).Pencegahan nyamuk dengan memanfaatkan bahan alami menjadi salah satu alternatif yang tidak hanya menguntungkan bagi manusia tapi juga lingkungan sekitar.Tujuan penelitian adalah untuk mengetahui efektifitas daun mint, lengkuas,
Nowadays, flying ad hoc network (FANET) has captured great attention for its huge potential in military and civilian applications.However, the high-speed movement of unmanned aerial vehicles (UAVs) in three-dimensional (3D) space leads to fast topology change in FANET and brings new challenges to traditional routing mechanisms.To improve the perfor
Underwater simultaneous localization and mapping (SLAM) poses significant challenges for modern visual SLAM systems.The integration of deep learning networks within computer vision offers promising potential for addressing these difficulties.Our research draws inspiration from deep learning approaches applied Decorating Ideas to interest point dete