Scientometric analysis of Mycobacterium tuberculosis revaccination: Dynamics, impact and analysis of collaborative networks.

Background: Mycobacterium tuberculosis (M. tuberculosis) is an infectious disease that remains a significant global health problem. Despite efforts to reduce the disease, the disease remains prevalent in many parts of the world.

Two new species of Stylopoma (Bryozoa, Cheilostomatida) from the Southwestern Atlantic.

Two new species of the cheilostomate bryozoan genus Stylopoma are described from Brazil-Stylopoma anacarolinae sp. nov. and Stylopoma priscilae sp.

On some colorful bryozoans from Brazil: reevaluation of Aptonella violacea Canu & Bassler, 1928 and a new species of Cosciniopsis Canu & Bassler, 1927.

Gigantoporidae Bassler, 1935 is a cheilostome bryozoan family comprising five genera, including the colorful genus Cosciniopsis Canu & Bassler, 1927, considered a senior synonym of Aptonella Canu & Bassler, 1928. The taxonomy of Aptonella has historically been considered confusing due to the colored zooecia, which suggests an affinity with other genera such as the stomachetosellid Cycloperiella Canu & Bassler, 1923. Here, the type species of Aptonella, A.

Allelopathic activity of coffee extracts: implications for germination and initial growth in select weeds and polyploidy in L.

Coffee beans contain compounds with allelopathic activity, such that some beans that do not meet quality standards might rather be used to obtain a natural herbicide which consequently might be employed to control undesired plants and avoid economic losses. Thus, the objectives of this study were: (1) to investigate the allelopathic effect of different concentrations of green (GC) and roasted (RC) coffee extracts on the inhibition of germination and initial growth of L. L.

Ultradense Electrochemical Chip and Machine Learning for High-Throughput, Accurate Anticancer Drug Screening.

Despite the potentialities of electrochemical sensors, these devices still encounter challenges in devising high-throughput and accurate drug susceptibility testing. The lack of platforms for providing these analyses over the preclinical trials of drug candidates remains a significant barrier to developing medicines. In this way, ultradense electrochemical chips are combined with machine learning (ML) to enable high-throughput, user-friendly, and accurate determination of the viability of 2D tumor cells (breast and colorectal) aiming at drug susceptibility assays.