Cell dynamics and natural frequencies: scaling and shape matters

Cell dynamics is one of the most investigated areas under the field of biomechanics. Scaling plays a crucial role in determining the dynamic characteristics of biological systems. In the present investigation, cuboidal and cylindrical models of different scales are analysed to depict the dependence of natural frequency on the scaling factors. Three approaches, namely lumped mass system, finite element model (FEM) and numerical approach using Ansys are used to determine the fundamental natural frequencies. Different scaling factors, namely nano, micro (original size), millimeter and meter are considered for the analysis. The results indicate that the natural frequency varies inversely with the size of the cell by the same factor. A simple mathematical relation is derived to support this claim. Results are illustrated with numerical examples and corresponding mode shapes are reported

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Hybrid approach to distributed Wi-Fi performance assessment for multi-floor structures

This paper proposes the enhancement of Wi-Fi quality assessment with a hybrid approach, which uses small and low-cost devices like Raspberry Pi, and mobile devices like smart-phones. Existing solutions for Wi-Fi quality assessment are expensive, and guarantee for continuous monitoring is not given. A monitoring device like a spectrum analyzer, needs the user to follow a specified path to cover entire geographical Wi-Fi coverage, for each Wi-Fi quality assessment procedure with the limited number of such monitoring devices. This paper introduces several engineering approaches, including mixture of Raspberry Pi and mobile phones as sensing devices. Taking the advantage of low cost Raspberry Pis and readily available mobile devices, we collect real-world multi-floored building data for Wi-Fi performance information from user's perspective and visualize it as a geographical Wi-Fi signal strength heat map, as well as a geographical end-user network experience. We analyze the result of field trials to understand how small, low-cost devices may contribute as an alternative and efficient solution of Wi-Fi quality assessment

A Tradução como um ‘Acordo Dialógico’: Uma Perspectiva Bakhtiniana

TRADUÇÃO PARA LIBRAS: José Ednilson Gomes de Souza Júnior (Supervisão Geral), Daniela Bieleski e Lais dos Santos di Benedetto Frasca (Orientação e Revisão Final), Raphael Freire Marques (Coordenador do Projeto), Crystonberg da Silva Souza, Julian Ramalho Henry, Marcos Antônio da Silva Filho, Maria Zenaide Pereira Rodrigues, Samantha Alves da Silva (Tradutores), Felipe Lima Souza e Nicolle Campos (Revisores

Oral health knowledge and practices among rural government primary school teachers of Mangalore, Karnataka

Objectives: To assess the Knowledge and Practice regarding Oral Health among the Rural Government Primary school teachers of Mangalore, Karnataka, India. Materials & Method: A self administered close ended questionnaire consisting of 15 items was distributed among the rural primary school teachers of Mangalore (n= 165). Comparison of knowledge and practice amongst the three age groups was done with Kruskal Wallis test. Comparison of mean scores between the genders was done using Mann-Whitney-U test. Comparison of mean scores across four educational qualification groups was done using Kruskal Wallis test. Results: Significant difference (p< 0.01) was found across the three age groups for the mean practice scores. There was significant difference between the genders with females scoring better for the mean knowledge, practice and the total scores. Conclusions: Oral health knowledge was lacking among the primary school teachers of rural Mangalore, although practices were satisfactory. Oral health education program targeting only the teachers is of utmost importance in the light of the present study results