Nyeri yang Diprovokasi Electric Foot Shock, Daya Bunuh Makrofag dan Penggunaan Imunomodulator BCG pada Mencit Balb/C

Provocated pain by electric foot shock, macrophage killing ability and the use of BCG as immunomodulator in Balb/C miceBackground: Pain affects immune system through Hypothalamic-Pituitary-Adrenal (HPA) and Symphatetic-adrenal-medullary (SAM) axis. Immunostimulator BCG increase immune system via type I response. The aim of this study is to prove that the decrease of immune response due to pain can be improved by introducing BCG vaccine assessed by macrophage activity.Methods: The study adapts Laboratory Experimental and Post-Test Only Control Group Design. Samples were 24 female Balb/C mice average weight 21.88(SD=1.75) grams and divided into four groups. The control group (C) received no other additional treatment. The BCG group (B) received intra-peritoneal injection of 0.1 ml BCG at day 1st and 11th. The EFS (E) received Electric foot shock 1-3 mA at day 12th to 21st and the BCG+ EFS group (BE) received BCG and EFS as mentioned before. All groups wereintravenously injected with 104 live L. monocytogenes at day 21st and sacrificed at day 26th by chloroform anaesthesia. Then, Macrophages Nitrit Oxyde (NO) concentration and liver bacterial count were measured. Data were analyzed by One Way ANOVA, Post Hoc Test Bonferroni and Pearson's product moment supported by computer software SPSS 13.0 (significant if p0.05).Conclusions: Pain provocation causes low NO concentration in macrophages and the introduction of BCG could improve the condition

The Developing Human Connectome Project Neonatal Data Release

The Developing Human Connectome Project has created a large open science resource which provides researchers with data for investigating typical and atypical brain development across the perinatal period. It has collected 1228 multimodal magnetic resonance imaging (MRI) brain datasets from 1173 fetal and/or neonatal participants, together with collateral demographic, clinical, family, neurocognitive and genomic data from 1173 participants, together with collateral demographic, clinical, family, neurocognitive and genomic data. All subjects were studied in utero and/or soon after birth on a single MRI scanner using specially developed scanning sequences which included novel motion-tolerant imaging methods. Imaging data are complemented by rich demographic, clinical, neurodevelopmental, and genomic information. The project is now releasing a large set of neonatal data; fetal data will be described and released separately. This release includes scans from 783 infants of whom: 583 were healthy infants born at term; as well as preterm infants; and infants at high risk of atypical neurocognitive development. Many infants were imaged more than once to provide longitudinal data, and the total number of datasets being released is 887. We now describe the dHCP image acquisition and processing protocols, summarize the available imaging and collateral data, and provide information on how the data can be accessed

Rapid Fluorescence Quenching Detection of <i>Escherichia coli</i> Using Natural Silica-Based Nanoparticles

The development of fluorescent silica nanoparticles (SNP-RB) from natural amorphous silica and its performance as an Escherichia coli (E. coli) biosensor is described in this paper. SNP-RB was derived from silica recovered from geothermal installation precipitation and modified with the dye, Rhodamine B. The Fourier Infrared (FTIR) confirms the incorporation of Rhodamine B in the silica matrix. Transmission Electron Microscopy (TEM) micrographs show that the SNP-RB had an irregular structure with a particle diameter of about 20–30 nm. The maximum fluorescence spectrum of SNP-RB was recorded at 580 nm, which was further applied to observe the detection performance of the fluorescent nanoparticles towards E. coli. The sensing principle was based on the fluorescence-quenching mechanism of SNP-RB and this provided a wide linear E. coli concentration range of 10–105 CFU/mL with a limit detection of 8 CFU/mL. A rapid response time was observed after only 15 min of incubation of SNP-RB with E. coli. The selectivity of the biosensor was demonstrated and showed that the SNP-RB only gave quenching response only to live E. coli bacteria. The use of SNP-RB as a sensing platform reduced the response time significantly compared to conventional 3-day bacterial assays, as well having excellent analytical performance in terms of sensitivity and selectivity

Rapid Fluorescence Quenching Detection of Escherichia coli Using Natural Silica-Based Nanoparticles

The development of fluorescent silica nanoparticles (SNP-RB) from natural amorphous silica and its performance as an Escherichia coli (E. coli) biosensor is described in this paper. SNP-RB was derived from silica recovered from geothermal installation precipitation and modified with the dye, Rhodamine B. The Fourier Infrared (FTIR) confirms the incorporation of Rhodamine B in the silica matrix. Transmission Electron Microscopy (TEM) micrographs show that the SNP-RB had an irregular structure with a particle diameter of about 20&ndash;30 nm. The maximum fluorescence spectrum of SNP-RB was recorded at 580 nm, which was further applied to observe the detection performance of the fluorescent nanoparticles towards E. coli. The sensing principle was based on the fluorescence-quenching mechanism of SNP-RB and this provided a wide linear E. coli concentration range of 10&ndash;105 CFU/mL with a limit detection of 8 CFU/mL. A rapid response time was observed after only 15 min of incubation of SNP-RB with E. coli. The selectivity of the biosensor was demonstrated and showed that the SNP-RB only gave quenching response only to live E. coli bacteria. The use of SNP-RB as a sensing platform reduced the response time significantly compared to conventional 3-day bacterial assays, as well having excellent analytical performance in terms of sensitivity and selectivity

The Potsdam open source radio interferometry tool (Port)

Funding Information: Research development for PORT was funded partially by the German Research Foundation (ECORAS-2, SCHU 1103/7-2 and HE5937/2-2). K.B. was funded by the Deutsche For-schungsgemeinschaft (DFG, German Research Foundation)— Project-ID 434617780—SFB 1464 (TerraQ). M.H.X. was supported by the Academy of Finland project No. 315721. S.B. was supported by Generalitat Valenciana SEJIGENT program (SEJIGENT/2021/001). The PORT source code is based on VieVS@GFZ which itself is a fork branched off from VieVS in 2012. In addition, the code contains MATLAB® adaptions of a significant number of IERS library functions (Petit & Luzum 2010) and modified GNU Octave (Eaton et al. 2008; Hansen 2011) routines. Software routines from the International Astronomical Union (IAU) SOFA Collection were used. Copyright ©International Astronomical Union Standards of Fundamental Astronomy (https://www.iausofa.org) (IAU SOFA Board 2021). Source code written by or adapted from D. Agnew, Julien Bect, Johannes Böhm, Sigrid Böhm (née Englich), Maximilien Chaumon, John R. D’Errico, Daniel Gambis, Kurt Hornik, Paul Kienzle, Hana Krásná (née Spicakova), Klemens Lagler, Daniel Landskron, Lucia MacCallum (née Plank), Matthias Madzak, Oliver Montenbruck, Vahab Nafisi, Andrea Pany, Sean Reilly, Beth E. Stetzler, Jing Sun, Kamil Teke, Volker Tesmer, Claudia Tierno Ros, Oleg Titov, Rik Wehbring, Nestor Zarraoa and Nataliya Zubko are acknowledged. We thank the anonymous reviewer for his/her comments and corrections. Publisher Copyright: © 2021. The Astronomical Society of the Pacific.The Potsdam Open Source Radio Interferometry Tool (PORT) is the very long baseline interferometry (VLBI) analysis software developed and maintained at the GFZ German Research Centre for Geosciences. Chiefly, PORT is tasked with the timely processing of VLBI sessions and post-processing activities supporting the generation of celestial and terrestrial reference frames. In addition, it serves as a framework for research and development within the GFZ's VLBI working group and is part of the tool set employed in educating young researchers. Starting out from VLBI group delays, PORT estimates station and radio sources positions, as well as Earth orientation parameters, tropospheric parameters, and station clock offsets and drifts. The estimation procedures take into account all the necessary data analysis models that were agreed on for contributing to the ITRF2020 processing activities. The PORT code base is implemented in the MATLAB (R) and Python programming languages. It is licensed under the terms of the GNU General Public License and available for download at GFZ's Git server .Peer reviewe