Petrographic characteristics in the central part of Kosovo

Purpose. This paper aims to provide complete identification of rock types in the Drenas region by detailed description of all types of the rocks found. The authors intended to determine interruption or continuity of all inter-formational boundaries to accurately delineate them on the ground and fully reflect on the 1: 25000 scale map, as well as to identify the nature of contact between rock types and give its detailed description. Methods. During August, September, October of 2019, the exploration field trips were carried out. Geological survey works focused on the following areas: complete identification of all rock types on the basis of studying their samples, preparation of thin sections for petrographic (only the magmatic rock), chemical and geochemical analysis. Systematic measurement of structural elements was conducted alongside with identification and description of mineral outcrops areas. Findings. Based on the study of stratigraphic units and geological description of mineral outcrop areas, we identified different types of rocks using petrography microscope preparation and chemical and geochemical analysis. The area of Drenas has the following lithostratigraphic units: gabbro diabase, harzburgite, metasandstone. Originality. The originality of the study consists in the use of optical microscope for precise identification of rocks. As a result of the research conducted in the exploration area, we have obtained a clear petrographic description of minerals composition, their texture and mineralization, which allows assessing the possibility of the area exploitation. The analyses were completed at the certified laboratory of Geology-Mining Faculty (Polytechnic University of Tirana) and Geosciences Institute. Practical implications. Petrographic study and chemical analysis led to the conclusion that the research area has Ni mineralization, which is important for the development of mining sector and the community given the environment is preserved and the adequate way of the area exploitation is applied.

The complex build algorithm to set up starting structures of lanthanoid complexes with stereochemical control for molecular modeling

When handling metallic centers of higher coordination numbers, one is commonly deluded with the presumption that any assembled metal complex geometry (including a crystallographic one) is good enough as a starting structure for computational chemistry calculations; all oblivious to the fact that such a structure is nothing short of just one out of several, sometimes dozens, or even thousands of other stereoisomers. Moreover, coordination chirality, so frequently present in complexes of higher coordination numbers, is another often overlooked property, rarely recognized as such. The Complex Build algorithm advanced in this article has been designed with the purpose of generating starting structures for molecular modeling calculations with full stereochemical control, including stereoisomer complete identification and coordination chirality recognition. Besides being in the chosen correct stereochemistry, the ligands are positioned by the Complex Build algorithm in a very unobstructed and unclogged manner, so that their degrees of freedom do not hinder or even choke one another, something that would otherwise tend to lead to negative force constants after further geometry optimizations by more advanced computational model chemistries. The Complex Build algorithm has been conceived for any metallic center, but at present is targeting primarily lanthanoids whose coordination numbers range mostly from 5 to 12 and often lead to a combinatorial explosion of stereoisomers.

Study of Microbial Contamination in Local Fruits and Vegetables Samples of Solan, Himachal Pradesh

Food Microbiology is the study of food micro-organisms. In the present study, we have chosen to isolate and identify bacteria and fungus from various fruits and vegetables. The various fruits had been collected from local market of Solan (H.P). After the complete identification, the isolated microorganism was identified as bacteria i.e. Enterobacter, Xanthomonas, Erwinia, Acidovoraxavenae, Pseudomonas, Staphylococcus, Bacillus, Streptococcus and fungus i.e. Cercospora mamaoms, Colletotrichum, Fusarium, Alternaria alternate, Aspergillus niger. Chances of contamination can be reduced by the good hygienic conditions.

SYNTHESIS OF FULLY SELF-CHECKED SCHEMES BUILT-IN CONTROL BASED ON POLYNOMIAL CODES FOR COMBINATION LOGIC DEVICES

The article examines the methods of production of functional control systems for logic combinational circuits with full detection of any single faults using the error detection properties of polynomial codes. A classification of special generators of polynomials that form codes with a small value of the control vector length and complete identification of errors of a certain type or multiplicity is presented. A method is presented for constructing a functional control system with complete identification of single faults based on the complete detection of triple errors by polynomial codes. Algorithms for the search and formation of controllable H1-, H2- and H3-groups of circuit outputs, taking into account the properties of polynomial codes, have been developed. The types of functional dependence of the operating outputs for combinational circuits are listed, in which errors of various types can occur. Based on the detection of any symmetric and asymmetric errors by polynomial codes, a method is presented for the constructionof functional control systems with full identification of these type of errors. For an approximate scheme, the development of a functional control system based on the proposed methods is given as:-

Potential for the application of DNA technologies in the brewing industry

The article presents an analysis of the literature data on research related to the use of DNA technologies in the brewing industry. Significant relevance among them is the work on combating widespread falsification of food products, including alcohol. Classical methods of assessing the quality and safety of beer do not allow us to identify the substitution of raw materials declared by the manufacturer — one of the large-scale areas of falsification. Therefore, the question of applying new approaches to the assessment of the authenticity of brewing products is relevant. In particular, the most complete identification of falsifications in the alcohol industry is made by molecular genetic analysis methods. This article discusses the methods of extraction of nucleic acids, as well as markers used as genetic targets in the DNA authentication of alcoholic beverages. The analyzed material indicates the possibility of using molecular genetic methods based on the polymerase chain reaction as modern laboratory tools for determining the authenticity of manufactured goods. In addition, the potential of using DNA technologies in the fight against contamination of industrial enterprises has been identified.

Biosynthesis and Heterologous Expression of Cacaoidin, the First Member of the Lanthidin Family of RiPPs

Cacaoidin is produced by the strain Streptomyces cacaoi CA-170360 and represents the first member of the new lanthidin (class V lanthipeptides) RiPP family. In this work, we describe the complete identification, cloning and heterologous expression of the cacaoidin biosynthetic gene cluster, which shows unique RiPP genes whose functions were not predicted by any bioinformatic tool. We also describe that the cacaoidin pathway is restricted to strains of the subspecies Streptomyces cacaoi subsp. cacaoi found in public genome databases, where we have also identified the presence of other putative class V lanthipeptide pathways. This is the first report on the heterologous production of a class V lanthipeptide.

Analogy of scientific and professional research and its use

In today's turbulent world faced with growing number of threats and challenges on an ever larger scale, it is becoming evident that a way out should be sought in the development and application of science and profession, because only their results can stabilise the world. However, in the current processes of scientific and professional research, various barriers are encountered, primarily related to insufficient methodological elaboration of connections and relations between scientific and professional research, the end results of which reduce the quality and efficiency of these two most important agents of development. For these reasons, the study of the relationship between the processes of scientific and professional research, in which a mutual analogy has already been noticed but not further developed, has been chosen as the subject of the present scientific paper. To be more specific, in a small number of scientific papers published recently, the mentioned analogy has been observed without its deeper study and exactly there important possibilities for raising efficiency of both science and profession are hidden. Therefore, the subject of this paper is the study that led to a more complete identification of the mentioned analogy, with the implicit projection of its application in scientific and professional research.

Improving the Identification and Coverage of Plant Transmembrane Proteins in Medicago Using Bottom–Up Proteomics

Plant transmembrane proteins (TMPs) are essential for normal cellular homeostasis, nutrient exchange, and responses to environmental cues. Commonly used bottom–up proteomic approaches fail to identify a broad coverage of peptide fragments derived from TMPs. Here, we used mass spectrometry (MS) to compare the effectiveness of two solubilization and protein cleavage methods to identify shoot-derived TMPs from the legume Medicago. We compared a urea solubilization, trypsin Lys-C (UR-TLC) cleavage method to a formic acid solubilization, cyanogen bromide and trypsin Lys-C (FA-CTLC) cleavage method. We assessed the effectiveness of these methods by (i) comparing total protein identifications, (ii) determining how many TMPs were identified, and (iii) defining how many peptides incorporate all, or part, of transmembrane domains (TMD) sequences. The results show that the FA-CTLC method identified nine-fold more TMDs, and enriched more hydrophobic TMPs than the UR-TLC method. FA-CTLC identified more TMPs, particularly transporters, whereas UR-TLC preferentially identified TMPs with one TMD, particularly signaling proteins. The results suggest that combining plant membrane purification techniques with both the FA-CTLC and UR-TLC methods will achieve a more complete identification and coverage of TMPs.

Algorithmic prediction of failure modes in healthcare

Background Preventing medical errors is crucial, especially during crises like the COVID-19 pandemic. Failure Modes and Effects Analysis (FMEA) is the most widely used prospective hazard analysis in healthcare. FMEA relies on brainstorming by multi-disciplinary teams to identify hazards. This approach has two major weaknesses: significant time and human resource investments, and lack of complete and error-free results. Objectives To introduce the algorithmic prediction of failure modes in healthcare (APFMH) and to examine whether APFMH is leaner in resource allocation in comparison to the traditional FMEA and whether it ensures the complete identification of hazards. Methods The patient identification during imaging process at the emergency department of Sheba Medical Center was analyzed by FMEA and APFMH, independently and separately. We compared between the hazards predicted by APFMH method and the hazards predicted by FMEA method; the total participants’ working hours invested in each process and the adverse events, categorized as ‘patient identification’, before and after the recommendations resulted from the above processes were implemented. Results APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA: the former used 21 h whereas the latter required 63 h. Following the implementation of the recommendations, the adverse events decreased by 44% annually (P = 0.0026). Most adverse events were preventable, had all recommendations been fully implemented. Conclusion In light of our initial and limited-size study, APFMH is more effective in identifying hazards (P < 0.0001) and is leaner in resources than the traditional FMEA. APFMH is suggested as an alternative to FMEA since it is leaner in time and human resources, ensures more complete hazard identification and is especially valuable during crisis time, when new protocols are often adopted, such as in the current days of the COVID-19 pandemic.

Comparative analysis of empathic abilities of foreign and Kazakhstani students of Karaganda Medical University

The article deals with the problems of empathic abilities of foreign students and Kazakh students of Karaganda Medical University. Special attention is paid to the characteristics of empathy in different cultures, the definitions of which cover a wide range of emotional States, including caring for others and the desire to help them; to experience emotions that correspond to the emotions of another person; to distinguish what the other person thinks or feels. Empathy is needed to increase productivity, to develop competence in communication, to create deeper and personal relationships. Empathy can also be understood as a person’s emotional responsiveness to the experiences of another person, a response to the feelings of another, as well as empathy – a person’s experience of the same emotional States that the other is experiencing, on the basis of complete identification.