Metal System for Chemical Reactions and for Studying Properties of Gases and Liquids

An all-metal system, made of copper, is herein described. It is suitable for working with those chemicals which do not attack copper. In particular it has been found very useful in the purification of BF3 and B(CH3)3. Some important features of such a system are (1) a complete absence of contaminants; (2) reactions may be carried out up to 500°C; (3) pressures up to several hundred pounds per square inch may be used; (4) flow of gases from very low to very high pressures may be easily controlled; (5) the system is very rugged. This latter point is particularly desirable where noxious or inflammable gases (such as B(CH3)3) are used. A method is also described whereby gases from sealed-off containers under either high or low pressures may be easily retrieved without introducing impurities. Other important advantages of such a system are mentioned in the text

Modeling reaction-diffusion of molecules on surface and in volume spaces with the E-Cell System

The-Cell System is an advanced open-source simulation platform to model and analyze biochemical reaction networks. The present algorithm modules of the system assume that the reacting molecules are all homogeneously distributed in the reaction compartments, which is not the case in some cellular processes. The MinCDE system in Escherichia coli, for example, relies on intricately controlled reaction, diffusion and localization of Min proteins on the membrane and in the cytoplasm compartments to inhibit cell division at the poles of the rod-shaped cell. To model such processes, we have extended the E-Cell System to support reaction-diffusion and dynamic localization of molecules in volume and surface compartments. We evaluated our method by modeling the in vivo dynamics of MinD and MinE and comparing their simulated localization patterns to the observations in experiments and previous computational work. In both cases, our simulation results are in good agreement

WOUND HEALING ACTIVITY OF FRUITS OF ANAMIRTA COCCULUS LINN IN RATS

Objective: The fruits of Anamirta Cocculus Linn are used traditionally in India for the treatment of bronchitis, chronic skin diseases, foul ulcers, dermatophytosis, phthisis, fungal infections, vertigo and vitiated conditions of vata & kapha. The purpose of the present study was to evaluate the wound healing activity of the ethanolic extract of its fruit in excision wound model.Methods: Albino Wistar rats of either sex were divided into three groups, viz, wounded control, wounded rats administered standard drug Ciprofloxacin (2 %), and wounded rats administered A.C. 200 mg/kg, respectively. In excision wound model, wound contraction was studied.Results: Increased wound contraction was observed in the extract-treated group when compared to control. Wound healing activity was statistically significant (p < 0.05) & (p < 0.001) in animals treated with 200 mg/kg of the extract.Conclusion: The ethanolic extract of A. Cocculus possesses significant wound healing activity. Keywords: Anamirta Cocculus, Wound healing, Dermatophytosis, Wound model

Room temperature soft ferromagnetism in the nanocrystalline form of YCo2 - a well-known bulk Pauli paramagnet

The Laves phase compound, YCo2, is a well-known exchange-enahnced Pauli paramagnet. We report here that, in the nanocrystalline form, this compound interestingly is an itinerant ferromagnet at room temperature with a low coercive-field. The magnitude of the saturation moment (about 1 Bohr-magneton per formula unit) is large enough to infer that the ferromagnetism is not a surface phenomenon in these nanocrystallites. Since these ferromagnetic nanocrystallines are easy to synthesize with a stable form in air, one can explore applications, particularly where hysteresis is a disadvantage

Reaction-diffusion kinetics on lattice at the microscopic scale

Lattice-based stochastic simulators are commonly used to study biological reaction-diffusion processes. Some of these schemes that are based on the reaction-diffusion master equation (RDME), can simulate for extended spatial and temporal scales but cannot directly account for the microscopic effects in the cell such as volume exclusion and diffusion-influenced reactions. Nonetheless, schemes based on the high-resolution microscopic lattice method (MLM) can directly simulate these effects by representing each finite-sized molecule explicitly as a random walker on fine lattice voxels. The theory and consistency of MLM in simulating diffusion-influenced reactions have not been clarified in detail. Here, we examine MLM in solving diffusion-influenced reactions in 3D space by employing the Spatiocyte simulation scheme. Applying the random walk theory, we construct the general theoretical framework underlying the method and obtain analytical expressions for the total rebinding probability and the effective reaction rate. By matching Collins-Kimball and lattice-based rate constants, we obtained the exact expressions to determine the reaction acceptance probability and voxel size. We found that the size of voxel should be about 2% larger than the molecule. MLM is validated by numerical simulations, showing good agreement with the off-lattice particle-based method, eGFRD. MLM run time is more than an order of magnitude faster than eGFRD when diffusing macromolecules with typical concentrations in the cell. MLM also showed good agreements with eGFRD and mean-field models in case studies of two basic motifs of intracellular signaling, the protein production-degradation process and the dual phosphorylation cycle. Moreover, when a reaction compartment is populated with volume-excluding obstacles, MLM captures the non-classical reaction kinetics caused by anomalous diffusion of reacting molecules

Učinak mangana na morfologiju nadbubrežne žlijezde

Manganese chloride (2.5 mg/kg) was administered intravenously daily to rabbits and morphological alterations in the adrenal cortex were studied ad different time intervals up to 90 days. An increase in the cholesterol content, as demonstrated histochemically, and marked degenerative changes in the zona glomerulosa and zona fasciculata were observed after a period of 60 days. The damaging effect of manganese chloride on the adrenal cortex was even more marked at 90 days. It is indicated that morphological alterations in the adrenal cortex produced by the administration of manganese chloride may have marked effect on the functioning of this gland.Manganov klorid, u dozi od 2,5 mg/kg je intravenski svakodnevno injiciran skupini od 12 kunića, dok je kontrolnoj skupini od 6 kunića injicirana jednaka količina fiziološke otopine. Po četiri životinje iz pokusne skupine i po 2 iz kontrolne usmrćene su nakon 30, 60, odnosno 90 dana pokusa i nadbubrežne žlijezde su analizirane histološki i histokemijski. U kontrolnih životinja i u onih trovanih manganom do 30 dana nije bilo uočljivih histoloških promjena nadbubrežnih žlijezda. Nakon 60-dnevnog tretiranja manganom utvrđene su značajne promjene u zoni glomerulozi u obliku pojave velikih vakuola i povećanog sadržaja kolesterola. Nakon 90-dnevnog tretiranja manganom u kori nadbubrežne žlijezde javile su se degenerativne promjene sa žarištima celularne atrofije i fragmentacije jezgara. Rezultati upućuju na to da morfološke promjene mogu značajno utjecati na promjene funkcije ove žlijezde s unutrašnjim izlučivanjem

Characterization of Boundary Element-Associated Factors BEAF-32A and BEAF-32B and Identification of Novel Interaction Partners in Drosophila Melanogaster

Regulatory elements are DNA sequences which have specialized activities that coordinate the functions of the genome. Promoters, enhancers, locus control regions, boundary elements (or insulator elements) are examples of DNA sequences that have regulatory properties. In transgenic assays insulator elements have been shown to block communication between regulatory regions, such as enhancers and promoters, when placed between these sequences and also protect genes from position effects when bracketing them, thereby affecting gene expression. Insulator sequences are bound by insulator proteins that direct the function of these sequences. One such insulator protein is the Boundary Element Associated Factor-32 (BEAF-32), a 32 kDa protein which was originally found to bind to the scs’ insulator sequence in the 87A heat shock locus of the Drosophila genome. BEAF-32 has two isoforms: 32A and 32B. BEAF was immunolocalized to numerous binding sites across the Drosophila genome. This was substantiated by various genome-wide mapping experiments, which have identified from 1800 to 6000 BEAF binding sites across the genome. Hence, BEAF-32 likely plays an important role in chromatin organization and gene regulation in combination with other proteins in the nucleus. However, it is not clear how BEAF-32 affects genome organization and gene regulation. We characterized essential domains in the BEAF-32 protein and identified protein partners, some of which include Transcription Factors (TFs). We further mapped the interaction regions inside BEAF and these TFs. We then attempted Fluorescent Recovery After Photobleaching (FRAP) to assess the dynamics of BEAF-32 on polytene chromosomes and also observed banding patterns, with the help of fluorescent protein labels, and evaluated its behavior during mitosis in early embryos. Finally, results obtained with BEAF prompted us to test for physical interactions between various insulator proteins and to check contradictory reported results from the literature to document interactions

A Novel Data Engineering Process Which Integrates Alert Information, Security Logs, And SOC Analysts

We build up a user centric ML system for the cyber security operation center in endeavor environment. We examine the regular data sources in SOC, their work process, and how to leverage and procedure these data sets to construct an effective ML system. The work is besieged towards two groups of readers. The primary group is data scientists or ML researchers who do not have cyber security domain awareness but want to build ML systems for safety operations center. The second group of people is those cyber security practitioners who have deep information and expertise in cyber security, but do not have ML knowledge and wish to construct one by them. All through the work, we use the system we built in the Symantec SOC construction setting as an example to display the full steps from data collection, label creation, feature engineering, ML algorithm selection, and model show evaluations, to risk score making