In the title compound, C(13)H(12)N(2)O(3), the dihedral angle between the aromatic rings is 7.94 (12)°. In the crystal, inversion dimers linked by pairs of C-H⋯O hydrogen bonds generate R(2) (2)(6) loops. Weak π-π [centroid-centroid separations = 3.7480 (13) and 3.9047 (13) Å] and C-H⋯π inter-actions help to consolidate the packing.
Machine learning and data analysis together represent a powerful force in producing analysis and forecasting models which in turn support the growth of different fields. In terms of safety and people, road traffic accidents have a negative impact on individuals, governments, and companies as well. Therefore, predicting traffic accidents on the road has become very important in the decision-making process that will lead to the safety of others. It is also important to find the causes of these accidents. This study aims to predict road traffic accidents and their causative factors based on a data set from Kaggle [1]. And the establishment of a vehicle accident prediction model on the road using machine learning and a decision tree algorithm, and the results showed that one of the most important factors causing accidents on the road is the lack of distance between vehicles, and that weather and age play an important role, and the model achieved an accuracy of 84.22% and a standard deviation of 1.08 %+/-. The tools used in data analysis and machine learning and prediction are Python and RapidMiner an integrated software platform for data science that provides an integrated environment for machine learning, deep learning, and predictive analysis.
Preventive oral healthcare is a critical component of public health, and dentists play a central role in reducing the global burden of dental diseases and enhancing community well-being. This systematic review examines evidence from 2016 to 2025 to evaluate the impact of dentist-led preventive interventions across clinical, educational, community, and system-level domains. Findings demonstrate that preventive dental services—including fluoride varnish, sealants, and early diagnostic screenings—significantly decrease caries incidence, periodontal disease progression, and tooth loss. Dentist-delivered education and behavioral counseling were found to improve oral hygiene practices, dietary choices, and oral health literacy, contributing to sustainable long-term health behaviors. Community-based programs and outreach initiatives led by dentists increased access to preventive care, particularly among underserved populations, while interdisciplinary collaborations and innovations such as teledentistry enhanced early detection of oral and systemic conditions. Collectively, the evidence shows that dentists contribute not only to improved oral health outcomes but also to broader community well-being through enhanced quality of life, reduced healthcare costs, and strengthened public health systems. Despite progress, disparities in access and long-term outcome data remain areas requiring further attention. Strengthening preventive dentistry is essential for promoting equitable and sustainable community health
In the title compound, C(23)H(15)N(3)O(2), significant deviations from planarity are evidenced in the values of the dihedral angles formed between the amino-benzene ring and the benzene rings of the 1,3-benzodioxole [65.38 (12)°] and 1,2-dihydro-naphthalene [26.27 (14)°] residues; the dioxole ring has an envelope conformation with the methyl-ene-C being the flap atom. The amino-H atoms form hydrogen bonds to one of the dioxole-O atoms and to one of the cyano-N atoms to generate a two-dimensional array with a zigzag topology that stacks along the ([Formula: see text] 0 2) plane.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Abstract — Among the vast range of off–line optical character recognition applications is the machine processing of forms. The objective is to imitate the human ability to read but at higher speed. This paper presents a neural network based system to recognise handwritten Arabic characters collected from more than 500 forms. Wavelet coefficients extracted from the character samples are used to tune the neural network weights. The performance of the system is assessed using a corpus that includes 15800 character samples.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
