Complex Multi Research Articles

The power of intuition in decision-making under operational stress

The decision-making process represents one of the most interesting subjects in the field of cognitive sciences, as it is a concept that requires a complex multi- and interdisciplinary approach. Modern warfare involves operations in environments characterized by a high degree of uncertainty, presenting multiple challenges, and radical and unexpected changes in the situation, which require a sound knowledge of how human thinking works and how we can develop the cognitive processes involved in formulating a decision. The article proposes a brief analysis of the decision-making process by military leaders in situations that involve significant stressors and demand quick and intuitive decisions. For this purpose, the main theoretical and practical aspects discussed in the specialized literature are presented, with an emphasis on applications in the military field. Additionally, the concept of expert intuition is introduced. Although there have been attempts to study this concept since antiquity, the systematic study of this revolutionary concept began in the middle of the 20th century and continues to arouse lively interest even today, remaining the subject of lively academic disputes.

Cultural literacy, premised in the training of intercultural competence for future teachers

Intercultural education is an extremely complex multi- and interdisciplinary field of knowledge, which has as its fundamental priorities the shaping of the human personality in the sense of understanding, acceptance and personal valorization of cultural, ethnic, religious or racial differences. Within the current European landscape of immigration and continuous change, the fluidity and rhetoric of identity construction requires a citizenship education that can adapt to this dynamic process. We aim to address in this article cultural literacy which includes a set of values and dispositions developed through dialogue and constructive argumentation with people who represent.

Historical Contextualisation of the Word Loyalty in the Discourse of the European Parliament

This article is an analysis of the meaning of the word loyalty in the discourse of the European Parliament. The European Parliamentary Assembly of the European Economic Community and Euratom replaced the Common Assembly of the European Coal and Steel Community. The European Parliament met for the first time in 1958, and initially had a primarily consultative function. However, in the following years, its power increased, and the Maastricht, Amsterdam and Lisbon Treaties transformed it into a legislative body. Together with the Commission, the Council, and the Court of Justice, it forms the complex multi-, inter- and supranational institutional framework of the European Union. Parliamentary discourse can be defined as an argumentative communication genre characterised by official аnd unofficial preconditions. This article examines how loyalty is defined and described in the international parliamentary deliberative discourse with respect to various demands, values, and interests. The research was based on 50 instances of the word loyalty taken from the European Parliament Proceedings Parallel Corpus 1996‒2011, accessed through the web-based system for corpus analysis CQPweb — Lancaster University. The article identifies six meanings of the word loyalty in accordance with the co-text provided by the evidence of quotations and examines the historical context of the development of the European Parliament. The aim of the analysis is to show that a better understanding of the meaning of loyalty in the discourse of the European Parliament depends on the historical contextualisation.

ПОТЕНЦИАЛЬНЫЕ МАРКЕРЫ РЕЦИДИВИРОВАНИЯ МОЧЕКАМЕННОЙ БОЛЕЗНИ И РОЛЬ ИНГИБИТОРОВ КАМНЕОБРАЗОВАНИЯ ПРИ РЕЦИДИВИРУЮЩЕМ КАЛЬЦИЙ-ОКСАЛАТНОМ НЕФРОЛИТИАЗЕ

Nowadays urolithiasis (nephrolithiasis) is a common disease, which treatment is a serious task of health care ser- vices not only in Russia, but throughout the world. At the same time, stones of a calcium-oxalate nature are the most common stones in patients with this pathology – in about 70-80% of cases. It is also worth noting that this disease not only has rather painful manifestations, and its treatment requires large financial costs, but also has a complex multi- factorial multistage pathogenesis, understanding the mechanisms of which can provide a key to the development of the most successful therapy. Pathogenesis itself consists of several stages, such as nucleation with the formation of a crystallization center, crystal growth, aggregation and their attachment to the surface of epithelial cells.
 It is known that the human body contains various substances that affect the processes of stone formation. Thus, stone formation promoters facilitate their crystallization, and inhibitors prevent it. There is a delicate balance between promoters and inhibitors, and their imbalance is often a decisive factor in pathogenesis. By their chemical nature, inhibitors can be both inorganic and organic (proteins, glycosaminoglycans) substances. The latter are especially attracting attention, since at various concentrations they can act as both inhibitors and promoters of stone formation. To fully understand the mechanisms of calcium oxalate stone formation, this review analyzes current data on inhibitors of recurrent nephrolithiasis and their role in the pathophysiology of the process of renal stone formation.

Teamwork in home care nursing: A scoping literature review.

Due to an increased number of complex multi- and long-term ill patients, healthcare and nursing provided in patients' homes are expected to grow. Teamwork is important in order to provide effective and safe care. As care becomes more complex, the need for teamwork in home care nursing increases. However, the literature on teamwork in the patients' home environment is limited. The aim of this study is to describe the scope of the current literature on teamwork in home care nursing and outline needs for future research. Seven electronic databases were systematically searched and 798 articles were identified and screened. Seventy articles remained and were assessed for eligibility by two of the authors. Eight themes were identified among the 32 articles that met the inclusion criteria. Studies concerned with teamwork regarding isolated tasks/problems and specific teamwork characteristics were most common. Methods were predominantly qualitative. Multiple method approaches and ethnographic field studies were rare. Descriptions of the context were often lacking. The terms 'team' and 'teamwork' were inconsistently used and not always defined. However, it is apparent that teamwork is important and home care nurses play a crucial role in the team, acting as the link between professionals, the patient and their families. Future studies need to pay more attention to the context and be more explicit about how the terms team and teamwork are defined and used. More research is also needed regarding necessary team skills, effects of teamwork on the work environment and technology-mediated teamwork.

Dislocation emission and propagation under a nano-indenter in a model high entropy alloy

The nanoindentation response of a FeNiCrCoCu high-entropy alloy is explored by means of atomistic simulations. In order to study the role of compositional complexity, we compare the behavior of the quinary FeNiCrCoCu alloy with that of an average atom potential fitted to the same overall properties of the alloy. In this way, we reveal the influence of compositional randomness of the multicomponent alloys on the onset of plasticity, deformation mechanisms and residual microstructure. Plasticity is dominated by dislocation activity, with twinning appearing as a complementary deformation mechanism in both models. While the HEA alloy substrate yields for a similar indenter penetration, indentation hardness is higher in the HEA alloy. After mitigation of strain rate effects, major differences are observed, influenced by the more difficult movement of dislocations in the compositionally complex HEA alloy. The results are in agreement with previous studies of plasticity in high entropy alloys and highlight the importance of using average atom models over comparison with single element studies for understanding complex multi principal element alloys.

Analysis or Design of Composite Column by Using Etabs Software

As the world business enlarging day by day, and designing of the buildings are getting complex and demanding more technology to enhance its stability, performances, cost, duration and its uniqueness of designing. At the later part of development in civil engineer majority of the work was transformed from conventional system to a well organized and computerized system, most of the time the company employees and owners were in live risk, due to non availability of technology. As time goes technology develops, having this in mind we had also suggested using Etabs software in our design. Etabs is a 3D analysis and designing of the buildings, it is engineering software which is used in construction and designing or analysis of complex multi stored buildings. Composite column is actually the amalgamation of two traditionally methodologies structure steel and structure concrete, their design could be based on concrete or steel methodology. Any method can be used to develop composite column approach. Composite columns are designed by applying different components of structure steel and concrete in according to use the advantages and property of each material. The outer and inner behavior of the concrete and structural steel ingredients make the Composite column is very unbending, enough squashy, cost effective and generally makes it efficient partner of the building and bride constructions. Normally three kinds of composite column sections are using in high risky building construction. The building was analyzed by using Etabs and designed according to the needed requirement. Composite column technology for construction of building is now a day’s very popular and has more advantages over the conventional designing of buildings, currently we see tall buildings with great advantages such as less space more accommodation, parking, and many more, these all can only be achieved if we implement the concept and idea of composite construction. This is why composite construction is so good; the one line reason behind this is that it combines both steel and concrete into one unit. By combining these materials can strengthen and provide best result in extremely enough and light weight design. Composite by column can also save our time and we can construction the complex buildings in short term. One of the biggest achievement if is done in construction by composite column is the cost reduction, because most of the constructions companies are being lost and dropped its position due to non profitability.

A study on prevalence of obesity and its determinants among women in selected areas of district Ludhiana, Punjab

Obesity and overweight are a complex multi -factorial disorder characterized by excessive amount of body fat. It is not just cosmetic concern but it also a medical problem that increases risk of other disease. A quantitative research approach of exploratory descriptive design was adopted for the study and purposive sampling technique was used to collect the data from 750 women of Sarabha, Ludhiana. Tool was divided into three parts as socio-demographical profile, anthropometry measurements to assess the prevalence of obesity and questionnaire related to determinants. The result of the study reveals that the prevalence of obesity was 29.46 in women in village Sarabha, Distt. Ludhiana and there were 221 women who were obese from total sample. The P value computed of the association of selected socio- demographic variables, where age, marital status, number of children, type of family, religion, dietary habits and lifestyle was non-significant. But occupation, are you on any medication and socio-economic class was significant and the significant value was (p 0.05). The average, mean, age & SD were 2.60 ± 1.12.

Infections Independent of Contamination: From Organic Matter, Evolution or Stem Cells

This study presents evidence to propose that some human infections may derive Independent of contamination by invading pathogens. Diverse data suggest multiple pathways Independent of contamination may generate human infections. For instance, the first microorganisms that emerged from lifeless organic matter 3.6 billion years ago indicated transformation of lifeless organic matter to micro organisms. Viral infections do correspondent to a lifeless protein particle in a cell of a complex multi- cellular organism reproducing and spreading infections to other complex multi- cellular organisms. Some microbes -such as pseudomonas aeruginosa with a larger genome and greater functional complexity than common bacteria -may evolve from human flora as observed in mammalian decomposition in sterile soil. For, decomposer species are not foreign Invaders from the environment and they represent evolution of common microorganisms during mammalian decomposition. Human cells may produce microorganisms consistent with a proven genetic link between humans cells and the Christensenellaceae (a family in the phylum Firmicutes). Human stem cells which are capable to differentiate to epithelial cells and cancer and have the essentials to produce microbes are the most likely candidates to produce microorganisms. What may be almost certain and not experimentally validated is the possibility that infections have multiple pathways of origin independent of contamination. Most nosocomial and opportunistic infections may be endogenous. Our knowledge may demolish the dogma of contamination by foreign microbes as the exclusive source of infections and pave novel avenues to prevent and treat diverse infections.

Complex Items and Units in Extra-Sentential Code Switching. Spanish and English in Gibraltar

Abstract As is well-known, code-mixing is particularly frequent at clause boundaries and with elements expressing pragmatic meaning. However, most of the literature has focussed on switching of simple elements such as conjunctions and discourse markers. This paper, in contrast, analyses clause peripheral switching involving two complex constructions: left dislocations and pseudo-clefts. The data are from English-Spanish bilingual conversations recorded in Gibraltar. A great majority of the bilingual constructions in the corpus belong to a few types occurring with a restricted set of lexical items. A vast amount of such highly recurrent strings in the data confirm the hypothesis that complex multi word strings that are switched together constitute units in code-mixing, i.e. they are processed as single lexical items.

UAV-Based Classification of Cercospora Leaf Spot Using RGB Images

Plant diseases can impact crop yield. Thus, the detection of plant diseases using sensors that can be mounted on aerial vehicles is in the interest of farmers to support decision-making in integrated pest management and to breeders for selecting tolerant or resistant genotypes. This paper investigated the detection of Cercospora leaf spot (CLS), caused by Cercospora beticola in sugar beet using RGB imagery. We proposed an approach to tackle the CLS detection problem using fully convolutional neural networks, which operate directly on RGB images captured by a UAV. This efficient approach does not require complex multi- or hyper-spectral sensors, but provides reliable results and high sensitivity. We provided a detection pipeline for pixel-wise semantic segmentation of CLS symptoms, healthy vegetation, and background so that our approach can automatically quantify the grade of infestation. We thoroughly evaluated our system using multiple UAV datasets recorded from different sugar beet trial fields. The dataset consisted of a training and a test dataset and originated from different fields. We used it to evaluate our approach under realistic conditions and analyzed its generalization capabilities to unseen environments. The obtained results correlated to visual estimation by human experts significantly. The presented study underlined the potential of high-resolution RGB imaging and convolutional neural networks for plant disease detection under field conditions. The demonstrated procedure is particularly interesting for applications under practical conditions, as no complex and cost-intensive measuring system is required.

ДИАЛЕКТИКА САМОПОЗНАНИЯ В ХУДОЖЕСТВЕННОМ ОБРАЗЕ КАРТИНЫ В.М. ВАСНЕЦОВА «АЛЕНУШКА»

The purpose of the research is a philosophical and art criticism analysis of V.M. Vasnetsov’s work “Alyonushka” in 1881, aimed at identifying its ideological essence. The methodological and theoretical foundations of the research are: the conceptual provisions of the theory of reflection By G.V.F. Gelel, the structuralist method in art studies, in particular, the semiotic approach that justifies the idea of a holistic consideration of the form and content (phenomenon and essence) of a work of art, the principle of classification of signs by C.S. Peirce. Research problem. To present the work of V.M. Vasnetsov “Alyonushka” as a complex multi – level structure of the dialectical unity of the essence (meaning) and the phenomenon (sign) – a logogram, where the logos is the cause, the creative principle that binds and holds together the essence (meaning) of the work and its sign phenomenon. In the process of creative relationship (dialogue) between the work and the viewer in the space of an artistic image, reveal the content of the three levels of the logogram of the work. Vasnetsov’s “Alyonushka”: an index level consisting of elementary cells-figures filled with paint of a certain color, an iconic level that collects index elements into a visual “image-icon”, and finally, a symbolic level that keeps the content of the index and icon statuses in the removed quality and is crystallized in the compositional formula of the work. To reflect on the meaning of the symbolism of the compositional formula of the logogram of V.M. Vasnetsov’s painting “Alyonushka” as a special kind of communication between the viewer and the work. A consistent study of the content of the index, iconic and symbolic levels of the logogram of the artistic image of V.M. Vasnetsov's painting “Alyonushka” of 1881 presents the following conclusions. The analysis of the index status of the logogram of the work revealed a complex horizontal “score” of the canvas in an even metric alternation of four layers. The image of water, earth, forest and sky in the picture in the form of wide horizontal monumental tiers embodies the universality, stability and fundamental laws of the infinite transcendent universe. The analysis of the iconic status of the logogram of the work reveals the image of a solitary, prayerful process of contemplation by the heroine of a pantheistically presented image of nature. The analysis of the symbolic level of the logogram of the painting reveals the main compositional formulas of the work as a concentrated expression of the essence of an integral artistic image. The study of the symbolism of the compositional formulas of the artistic image allows one to formulate the essence of the work of art V.M. Vasnetsov, expressed in the contemplative dialectic of the emanative movement from the infinite transcendental to the human finite and immanent movement from the finite human to the infinite absolute, represented as the ratio of the teenage girl and the surrounding pantheistic image of nature.

Study and modelling of droop-controlled islanded mesh microgrids

The active and reactive power sharing of distributed generation sources (DGs) connected to isolated microgrids with a single point of common coupling (mono-PCC) to which the loads are also connected has already been the subject of several studies. A high penetration rate of DGs based on renewable energies has as a logical consequence the development and implementation of mesh and more complex multi- PCC microgrids. In this paper, a developed droop control method for synchronization and power sharing between different DGs connected to a mesh islanded multi-PCC microgrid with many distributed generation sources (DGs) and different type of loads (including active load (CPL)) randomly connected to different PCCs is applied. Then, a state model of the entire mesh microgrid is developed integrating the generators with their controllers, power lines, droop algorithms and dynamic loads. This model is then used to study the asymptotic stability and robustness properties of the system. The simulation results confirm the effectiveness of the applied strategies for the synchronization of the different DGs to the microgrid while ensuring an efficient active and reactive power sharing. also, they confirm the validity of the developed state space model of the system.

Loss Correction of Wireless Model in Complex Multi Wall Environment

K-M (Keenan motley) model calculates the total loss value of indoor wireless signal penetrating multiple walls by adding fixed loss values of single wall, without considering the influence of wireless signal polarization and incident angle on wall loss. In order to solve this problem, considering the polarization and incidence angle of the beam, the wall and its direction can be detected automatically from the blueprint image by Hough transform in image processing. By obtaining the direction and angle of the wall, the loss attenuation is defined as a function of the incident angle. The improved model can define various types of walls with different attenuation characteristics. Through the comparison of actual measurement, the error between the improved model and the measured road strength loss is reduced, and the root mean square error between the measured value and the prediction value of the improved model is obviously improved, and the prediction accuracy of the model in indoor environment is improved.

ANALYSIS AND OPTIMIZATION OF MACHINING PARAMETER DURING TURNING OF A356/10%SiCp MMC USING RESPONSE SURFACE METHODOLOGY APPROACH

In this study, an effort has been made more complex multi performance optimization using Response Surface Methodology (RSM) based desirability approach while machining of Al/10%SiC Particulate Aluminum Metal Matrix Composite (PAMMC) produced through stir cast method. The effect of main cutting parameters like Cutting speed (V), Feed rate (F), Depth of cut (D) and Machining time (T) on the output responses of Tool flank wear (VBmax) and Surface roughness (Ra) were investigated. The most significant machining parameters were ascertained using analysis of variance (ANOVA). The contour plots are drawn for study effect cutting parameters and their interactions. From the study found that developed numberical model for tool flank wear and surface roughness is found to be adequate and used for predict the parameters within this experimental range.

COMPARATIVE ANALYSIS OF THE UNIVERSITIES CLUSTERING RESULTS FOR DIFFERENT SETS OF PARAMETERS

To increase the competitiveness of domestic universities, the "5-100 Project" is being implemented, in which from 2013 to 2020 21 universities that have been selected based on the results of "Road maps", which must necessarily reflect international cooperation, as well as plans for the development of educational programs, take part. This year, it is planned to summarize the results of the program. The interpretation of results can be heterogeneous, since it is difficult to select parameters for comparison when evaluating complex multi -parameter objects. The clustering allows you to group similar objects, while the task of the researcher is to interpret the results. It is always easier to compare objects with similar parameters. As a result, two groups were obtained. This paper analyzes the problem of evaluating the effectiveness of Universities in various parameters and their totality. Clusterization was performed using the hierarchy method in the R program. This paper examines 11 universities from the list of "5-100", information about the activities of which is most fully presented on the Internet. Built according to data provided in the University self-study reports. The analysis was carried out separately for each of the sections in order to determine the most significant parameters for the University (educational, research, international, financial and economic activities, infrastructure and training of disabled people and persons with disabilities), as well as for a set of characteristics.

Estimation of survival rate in electrical injuries, experience in Algerian Burn Centers

The mortality rate due to electrical accidents remains very high in developing countries. It is well known that burns and electrical injuries are responsible for complex multi organic issues in association with burns that need an organized therapeutic strategy that must be given at the right time. This study aims to estimate the survival function of electrical injury during a defined time-period after identifying mortality prognostic factors in Algerian’s Burn Centers. MethodsThis is a prospective multi-Center prognostic study that was led in Algiers, from June 2007 to September 2015 and conducted on 200 patients with electrical injuries.A standard therapeutic algorithm was followed in the evaluation and management of the patients.A simple logistic regression was used to identify the prognostic factors of mortality, and Kaplan and Meier survival curves study, with the Log-rank test, were used to measure the overall survival rates of the exposed population. ResultsThe mortality rate in this study was 20%. Logistic regression analysis resulted in the following risk factors of mortality: acute renal failure (p = 0.000, OR = 40), sepsis (p = 0.000, OR = 56.9), fall or projection traumatic injury (p = 0.004, OR = 4.3), total body surface area over 50% (p = 0.000, OR = 11.6), and lack of skin coverage (p = 0.000, OR = 0.035). In this study, the time factor was defined as the delay between the day of the accident and the day of the admission in the emergency unit. This time corresponds to the beginning of the overall treatment. Its importance was determined by using the survival curves analysis. All the identified prognostic factors were associated with a low survival rate (p < 0.001). The probability to survive to an electrical injury was 86% when the patient was admitted to the emergency unit on the day of the accident. ConclusionElectrical burns are responsible for high mortality and disability rates. In this paper, we showed, through the results, the link between several risk factors and mortality, and the influence of the delay in the overall therapeutic management, on the survival rate.

Image superresolution technique: A novel approach for leaf diseased problems

Superresolution is a concept to increase the resolution. The main objective of this paper is the study of iterative curvature based method for super-resolving low resolution of a leaf diseased images. The domain specific prior is incorporated into superresolution by the means of iterative curvature SR based estimation of missing high frequency details from infected leaf images. The model is composed of two step pixel filling approach. Through this proposed work, fine edges of SR images are preserved without applying complex mathematical algorithms based on wavelet, fast curvelet, etc. In this paper, we have validated proposed scheme over 9 infected leaf images of various crops like soybean, cotton, rose, citrus family etc. shows better result in visual as well as subjective quality as that of complex multi frame SR algorithms like reconstruction and registration along with less computational time. This concept is most useful for agricultural expert for helping our farmers for exact leaf disease detection and accurate remedial actions. The experimental result shows the best visible SR result of an infected leaf along with MSE and PSNR i.e. Statistical results. It also shows the comparison of proposed method with the existing techniques successfully.

Identifying the Sentinel Lymph Node in Patients with Cutaneous Melanoma - Preliminary Report of a Private Clinic in Bucharest.

Background: The accuracy of the staging, along with the reproductibility of intraoperative lymph car-tography, and lymph node biopsy in patients with malignant melanoma was unanimously validated in the last decade. This technique allows the discovery of lymph node micrometastses with the help of immunohistochemical methods. The goal of the present study is to present the experience of our clinic in identification and biopsy protocol of the lymph node. Methods: A year-long retrospective analysis was running between March 2019 - December 2019 con-cerning 57 patients with cutaneous melanoma on which detection and excisional biopsy of the lymph node was performed. The procedure was performed by the double method using vital dye and a ra-dio-active tracer. Demographic information was filed, as well as data on location of primary tumors, tumor histology, and radioactivity level. Results: The mean Breslow thickness of primary skin melanomas was 2.7 mm. At least one lymph node was identified in 56 of the 57 patients included in the study. Among those, 15 (26%) had at least one metastatic node. The mean number of excised lymph nodes per patient was 1.6. Conclusions: The cartography and biopsy of lymph nodes need the involvement of a complex multi disciplinary team made of nuclear medicine, surgery, and anatomopathology specialists. This way one provides both a correct staging of the patient with melanoma and access to adjuvant innovative therapies, thus considerably improving the prognosis.

Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation

Automated tire visual inspection plays an extraordinary important role in ensuring tire quality and driving safety. Due to the anisotropic complex multi texture and defect diversity characteristic of tire radiographic image, tire intelligent visual inspection has become one of the technical bottlenecks of intelligent manufacturing. In this work, a novel tire defect detection model using Concise Semantic Segmentation Network (Concise-SSN) is investigated for automated tire visual inspection. We perform an end-to-end pixel-wise tire defect detection by combining the power of an optimized semantic segmentation network and a compact convolutional neural network for classification. It can achieve the end-to-end pixel-wise full class defect detection and classification. The experimental results show superior performance on defect segmentation and classification tasks compared to state-of-the-art models with smaller model size and faster computation. Comparative experiments indicated that our Concise-SSN achieves the mPA score of 85.13%, the mIoU score of 77.34% on our test set. The accuracy of defect classification is 96.5% on average. Finally, we show faster computation (0.132 seconds per image) with competitive results on our dataset, which can meet the needs of online tire detection.