The typology of rubies and their industrial significance

Information on the International Genetic Classification of Noble Corundum is given. The scheme of location of the main deposits and occurrences of ruby-bearing complexes of the world is attached: 1 – magmatic; 2 – metamorphogenic; 3 – sedimentary (residual ancient crusts of chemical weathering, alluvial and dealluvial-alluvial placers). The location of ruby objects is shown, including the largest areas of depleted, currently operating and promising for the near future ruby deposits in 36 countries around the world. The main typological features of rubies are described. It is emphasized that all properties of rubies are determined by their primary indigenous origin. The typology of rubies is based on the principles of the relationship between magmatism and metamorphism in the formation of the groups under consideration. Hydroblasting and selective crushing methods for mining of corundum-bearing complexes are characterised. The trend towards increased research into the commercial exploitation of the primary sources of ruby-bearing complexes is highlighted. In countries with highly developed mining industries, underground mining is the main way to extract gemstones.

Multi-objective flower pollination algorithm applied to 5G vehicular networks communication

The Cellular Vehicle-to-Everything (C-V2X) technology, as a widest version of Vehicular Ad-hoc Network (VANET), aims to interconnect vehicles and any other latest technological infrastructures. In this context, the fifth generation of mobile networks (5G) based on millimeter waves (mmWave) is an excellent alternative for the implementation of vehicular networks, mainly because it is capable of providing high data rates (Gbps) and ultra-low latency, requirements of C-V2X. On the other hand, mmWave signals are highly susceptible to blocking, causing low quality of service (QoS) in VANETs, compromising network functionality and the safety of drivers and pedestrians. Thus, in this work evolutionary computing techniques are applied in the simulation of a 5G vehicular network based on millimeter waves, exploring Media Access Control (MAC) sublayer parameters to optimize packet loss, latency and throughput, in order to optimize inter-vehicular communication. The Multi-objective Flower Pollination Algorithm (MOFPA) was used for this purpose. The results obtained show that the adopted approach can reach results close to the optimal pareto of non-dominated solutions, with a 75% reduction in exploration time in relation to the exhaustive search process. Finally, the performance of the metaheuristics adopted is compared with the non-dominated genetic classification algorithm (NSGA-II) and the multi-objective differential evolutionary algorithm (MODE).

Optimal Centers’ Allocation in Smoothing or Interpolating with Radial Basis Functions

Function interpolation and approximation are classical problems of vital importance in many science/engineering areas and communities. In this paper, we propose a powerful methodology for the optimal placement of centers, when approximating or interpolating a curve or surface to a data set, using a base of functions of radial type. In fact, we chose a radial basis function under tension (RBFT), depending on a positive parameter, that also provides a convenient way to control the behavior of the corresponding interpolation or approximation method. We, therefore, propose a new technique, based on multi-objective genetic algorithms, to optimize both the number of centers of the base of radial functions and their optimal placement. To achieve this goal, we use a methodology based on an appropriate modification of a non-dominated genetic classification algorithm (of type NSGA-II). In our approach, the additional goal of maintaining the number of centers as small as possible was also taken into consideration. The good behavior and efficiency of the algorithm presented were tested using different experimental results, at least for functions of one independent variable.

NI-16 Verification of APT image and relationship with T2/FLAIR mismatch sign in WHO2016 brain tumor pathology classification

Introduction: Amide Proton Transfer Imaging(APT)is an MRI imaging method that images the increased concentration of amide groups in tumors and is expected to be clinically applied to the diagnostic imaging of gliomas.On the other hand,T2/FLAIR mismatch sign(T2/FLms)has been proposed as an MRI finding specific to astrocytoma with IDH gene mutation.This time,in the WHO2016 Brain Tumor Pathological Classification,we report the verification of the pathological gene classification of APT and the retrospective verification based on the pathological diagnosis results of whether there is a relationship between APT and T2/FLms. Method: We examined 88 cases of preoperative glioma (Grade:G2/3/4)in which APT/T2/FLAIR was imaged.resultIt showed a high value in high malignancy and a significant difference was observed.In the verification of genetic classification, the measured APT values were 1.91 ±0.71 for oligodendroglioma(16 cases),2.58±0.17 for astrocytoma(2 cases),2.40±0.90 for anaplastic oligodendroglioma(12 cases),Anaplastic astrocytoma(20 cases)2.63±0.42,The oligodendroglioma system showed lower values than the astrocytoma system.For anaplastic astrocytoma IDH mutant and glioblastoma IDH mutant,APT measurement values were measured after evaluating the presence or absence of T2/FL ms. APT measured values are anaplastic astrocytoma IDH mutant T2/FL ms present(7 cases) 2.63±0.38,T2/FL ms not (5 cases) 2.76±0.37, glioblastoma IDH mutant T2/FL ms present(5 cases)2.67±0.50, no T2/FL ms(3 cases)3.48±0.27,suggesting low APT measured values with T2/FL ms,respectively.ConclusionIn the verification of genetic classification, the oligodendroglioma system shows a lower value than the astrocytoma system,and it is considered that it can be one of the options such as treatment policy.Regarding the relationship between T2/FL ms and APT,it was suggested that the APT measured value with T2/FL ms tended to be low,but since it wasreported that the sensitivity of T2/FL ms was 30%,it was verified by accumulating cases.is required.

Application of Biomarkers and Oil Fingerprinting for Genetic Classification of Oil and Prediction of Petroleum Migration Pathways of Aryskum Downfold of South-Torgay Depression

This article presents the results of fingerprinting and biomarker analysis of 254 oil samples derived from 11 different fields and structures in Aryskum downfold of the South-Torgay depression for genetic classification of oils and prediction of petroleum migration pathways. According to the oil fingerprinting results based on patented Shell technology, 12 groups of oils were found: oils in reservoirs of central part of Nuraly field form the first group, while oils in the producing horizons of Western Nuraly, Southern Khayrgeldy, Akshabulak East and fluvial beds of Central Akshabulak fields form the second group. The oils related to the third group were found in the wells exploiting producing horizon I in the north dome of Central Akshabulak, while the oils from wells penetrating lower producing horizons(III-IV-V) of Central Akshabulak, upper producing horizons in South dome of Central Akshabulak and of all producing horizons of the north dome of Akshabulak South constitute the fourth group. The fifth group includes only one oil sample of different genesis from well № 37, which penetrates the paleo-channel №13 at South Akshabulak. The genetic difference of this oil from other oils was also confirmed by its biomarker composition. Most of oil fingerprinting star plots in Aksay field are identical and form the sixth group, although the seventh group comprises only one oil № 47 in Aksay. Sample set with №8 was discovered in the pay zones of Taur field and well № 75, exploiting the same horizon in the northern part of Aksay. The ninth oil group was identified in cretaceous producing layers of the Khairgeldy South-West field and Jurassic beds of the Khargeldy North field, while the identical composition of the cretaceous oil from the Khairgeldy North and Khairgeldy fields forms the tenth group. The last eleventh group includes oil from well №. 12 on South-west Khairgeldy, although it has some similarities with Taur oils. For 20 oil samples was carried out biomarker analysis, according to the results of which all studied oils were formed in terrigenous (shaly) OM, deposited in lacustrine environment. Oils from central Nuraly are more thermally mature and lighter in density than those from western Nuraly. Oils of Akshabulak East are thermally less mature than oils of Central Akshabulak and Akshabulak South despite its deeper deposition. Based on the performed analysis, in the conclusion were presented 5 prospective hydrocarbon accumulation zones for increasing hydrocarbon reserves in the future. But the results of the performed studies provide valuable information only when integrated with confirmed geological and seismic data.

Architecture of Hierarchical Stellar Systems and Their Formation

Accumulation of new data on stellar hierarchical systems and the progress in numerical simulations of their formation open the door to genetic classification of these systems, where properties of a certain group (family) of objects are tentatively related to their formation mechanisms and early evolution. A short review of the structure and statistical trends of known stellar hierarchies is given. Like binaries, they can be formed by the disk and core fragmentation events happening sequentially or simultaneously and followed by the evolution of masses and orbits driven by continuing accretion of gas and dynamical interactions between stars. Several basic formation scenarios are proposed and associated qualitatively with the architecture of real systems, although quantitative predictions for these scenarios are still pending. The general trend of increasing orbit alignment with decreasing system size points to the critical role of the accretion-driven orbit migration, which also explains the typically comparable masses of stars belonging to the same system. The architecture of some hierarchies bears imprints of chaotic dynamical interactions. Characteristic features of each family are illustrated by several real systems.

Geology of Bajalia Anticline of the Low Folded Zone of Iraq

Bajalia Anticline is located about 60km northeast of central Amarah city in Al-Teeb area near Iraq-Iran border. Field and laboratory works were conducted to study topography, geomorphology, stratigraphy, and structural geology of Bajalia Anticline. The Anticline has a longitudinal shape with about 29km in length and 5-7km in width. Injana, Mukdadiya, and Bai Hassan formations are the three formations that were recognized in the study area. The geometrical structural analysis depicts that the Anticline is non-cylindrical, asymmetrical, close, sub-horizontal, steeply inclined, and linear fold. Most of the fractures in the Anticline are joints. These joints were classified based on the tectonics axes, which are a, b, and c, into ac, bc, and hol. A major reverse fault is located at the margin of the southwestern limb parallel to the fold axis with about 25km length. This fault is responsible on the vergence of the Anticline and overturned part of the southwestern limb. The Anticline was formed as a result of the collision between the Arabian and Iranian plates during the Late Tertiary. The maximum stress axis, which is caused by collision, is perpendicular to the hinge line. The geometrical and genetic classification indicates that the Anticline was formed by the high folding intensity and with a role of evaporites layers.

Modern aspects of morphology of endometrial cancer and neuroendocrine tumors (to the 100th anniversary of the birth of O.K. Khmelnitsky)

November 4, 2020, marks the 100th anniversary of the birth of Oleg Konstantinovich Khmelnitskiy, an outstanding Russian pathologist, Corresponding Member of the Russian Academy of Medical Sciences (04.11.192008.02.2004). The creative legacy of O.K. Khmelnitskiy has a large number of works devoted to endometrial cancer and neuroendocrine tumors. Modern concepts of these tumors take a lot from the scientists ideas. The development of the classification of endometrioid carcinomas is determined by new data in molecular genetic research. The most common genetic changes in endometrioid adenocarcinomas involve mutations in the PTEN, KRAS, CTNNB1, PIK3CA, and MS1 genes. Serous carcinomas are characterized by TP53 mutations and HER2-neu gene amplification. The immunohistochemical panel allows differentiation of endometrioid and serous carcinomas. There is evidence of the role of the POLE gene mutation. Various advantages of the introduction of molecular genetic classification are presented, which allow changing approaches to the treatment of endometrial cancer depending on the risk of its development. The 2019 neuroendocrine tumors (NETs) classification allows interpreting morphological characteristics of these tumors in a new way.