Sterodin®, novi imunostimulator: neka toksikološka i farmakološka vrednovanja in vivo i interakcija lijek-lipid in vitro

Sterodin is a novel non-specific immunostimulating drug produced by combination of bile lipids and bacterial metabolites. In the present study, we investigated some of its (i) toxicological and (ii) pharmacological properties in vivo, and (iii) drug-lipid interaction (lipid peroxidation) in vitro. We also evaluated the possible (iv) Sterodin-induced lipid peroxidation as well as the effect of ascorbic acid on this peroxidation. We found LD50 of Sterodin to be 31.50 mL kg-1 body mass. In male albino mice, Sterodin increased the total white blood cells and neutrophils count by 59 and 26 %, respectively, on the 6th day compared to day 0 after injection and stimulated phagocytic activity in vivo. We used goat liver as lipid source in drug-lipid interaction studies in vitro. Our experiments show that Sterodin induces lipid peroxidation, which was prevented by ascorbic acidSterodin® je novi nespecifični imunostimulator koji sadrži žučne lipide i bakterijske metabolite. U radu su opisana neka njegova toksikološka i farmakološka svojstva in vivo, te interakcija lijek-lipid in vitro. Nadalje, proučavana je moguća peroksidacija lipida inducirana Sterodinom® te učinak askorbinske kiseline na tu peroksidaciju. LD50 Sterodina bio je 0,63 mL u mužjacima albino miševa mase 20 g (31,50 mL kg-1 tjelesne mase). U istim životinjama Sterodin® je povećao ukupan broj leukocita i neutrofila (59 odnosno 26 % mjereno 6 dana nakon injekcije Sterodina®) i stimulirao aktivnost fagocita in vivo. U ispitivanjima interakcije lijek-lipid in vitro korištena je jetra koze kao izvor lipida. Rezultati ukazuju da Sterodin® inducira peroksidaciju lipida, koja se može spriječiti askorbinskom kiselinom

TOOL PATH PLANNING FOR MACHINING FREE-FORM SURFACES

This paper is about new iso-parametric tool path planning for machining trimmed free-form surfaces. The trimmed surface has been re-parameterized by two different parameterization techniques, namely, the partial differential equation method and the newly developed boundary interpolation method. The efficiency of the scheme has been measured in terms of path length and computational time needed for machining some typical surfaces. Conventionally, the forward-step is calculated by approximating the cutting curve with the osculating circle. The actual tolerance of the forward-step may go beyond the prescribed limit due to the circular arc approximation. In this study, the actual cutting curve has been considered to keep the tolerance in the forward-step below the prescribed value. The new algorithm has been tested on some typical surfaces and the results show a significant improvement in the surface profile in terms of tolerance of the forward-step

Correlation Coefficient Measures of Interval Bipolar Neutrosophic Sets for Solving Multi-Attribute Decision Making Problems

Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem with interval bipolar neutrosophic information and comparison is given to demonstrate the applicability and effectiveness of the proposed strategy

TOPSIS for Single Valued Neutrosophic Soft Expert Set Based Multi-attribute Decision Making Problems

In the paper, we propose Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique for solving single valued neutrosophic soft set expert based multi-attribute decision making problems. Single valued neutrosophic soft expert sets are combination of single valued neutrosophic sets and soft expert sets. In the decision making process, the ratings of alternatives with respect to the parameters are expressed in terms of single valued neutrosophic soft expert sets to deal with imprecise or vague information. The unknown weights of the parameters are derived from maximizing deviation method. Then, we determine the rank of the alternatives and choose the best one by using TOPSIS method. Finally, a numerical example for teacher selection is presented to demonstrate the applicability and effectiveness of the proposed approach

An extended TOPSIS for multi-attribute decision making problems with neutrosophic cubic information

The paper proposes a new technique for dealing with multi-attribute decision making problems through an extended TOPSIS method under neutrosophic cubic environment. Neutrosophic cubic set is the generalized form of cubic set and is the hybridization of a neutrosophic set with an interval neutrosophic set. In this study, we have defined some operation rules for neutrosophic cubic sets and proposed the Euclidean distance between neutrosophic cubic sets. In the decision making situation, the rating of alternatives with respect to some predefined attributes are presented in terms of neutrosophic cubic information where weights of the attributes are completely unknown. In the selection process, neutrosophic cubic positive and negative ideal solutions have been defined. An extended TOPSIS method is then proposed for ranking the alternatives and finally choosing the best one. Lastly, an illustrative example is solved to demonstrate the decision making procedure and effectiveness of the developed approach

Bipolar Neutrosophic Projection Based Models for Solving Multi-Attribute Decision-Making Problems

Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems. In the solution process, the ratings of performance values of the alternatives with respect to the attributes are expressed in terms of bipolar neutrosophic values. We calculate projection, bidirectional projection, and hybrid projection measures between each alternative and ideal alternative with bipolar neutrosophic information. All the alternatives are ranked to identify the best alternative. Finally, a numerical example is provided to demonstrate the applicability and effectiveness of the developed methods. Comparison analysis with the existing methods in the literature in bipolar neutrosophic environment is also performed

Dynamics of Hot QCD Matter -- Current Status and Developments

The discovery and characterization of hot and dense QCD matter, known as Quark Gluon Plasma (QGP), remains the most international collaborative effort and synergy between theorists and experimentalists in modern nuclear physics to date. The experimentalists around the world not only collect an unprecedented amount of data in heavy-ion collisions, at Relativistic Heavy Ion Collider (RHIC), at Brookhaven National Laboratory (BNL) in New York, USA, and the Large Hadron Collider (LHC), at CERN in Geneva, Switzerland but also analyze these data to unravel the mystery of this new phase of matter that filled a few microseconds old universe, just after the Big Bang. In the meantime, advancements in theoretical works and computing capability extend our wisdom about the hot-dense QCD matter and its dynamics through mathematical equations. The exchange of ideas between experimentalists and theoreticians is crucial for the progress of our knowledge. The motivation of this first conference named "HOT QCD Matter 2022" is to bring the community together to have a discourse on this topic. In this article, there are 36 sections discussing various topics in the field of relativistic heavy-ion collisions and related phenomena that cover a snapshot of the current experimental observations and theoretical progress. This article begins with the theoretical overview of relativistic spin-hydrodynamics in the presence of the external magnetic field, followed by the Lattice QCD results on heavy quarks in QGP, and finally, it ends with an overview of experiment results.Comment: Compilation of the contributions (148 pages) as presented in the `Hot QCD Matter 2022 conference', held from May 12 to 14, 2022, jointly organized by IIT Goa & Goa University, Goa, Indi