In this paper, we introduce a new data classification algorithm called Interactive Search Miner (ISM) based on the concepts of ISA. We analyze the concepts of iPSO, TLBO algorithms and proposed an innovative ISM for classification of Depression data during the Covid -19 pandemic among the college students in Puducherry. An extensive experimental analysis is also carried out to verify the results of the ISM. The experimental results indicate that the maximum accuracy is attained by ISM. The ISM obtains a maximum classification accuracy of 99.68% whereas the ACO, Olex-GA, RF and RT attain an accuracy of 97.56%, 65.0%3, 87.10% and 84.75% respectively. These values ensured the superior performance of the ISM and inferior performance of the compared methods on the depression dataset.

Korea hugely invests for their port system by upgrading the infrastructure every year, turning their ports to become Asian hub ports. However, only Busan port is ranked fifth in the World for container throughput, while other Korean ports are ranked low. This article evaluates the efficiency and productivity of selected major Korean seaports using Data Envelopment Analysis (DEA) model and Malmquist Productivity Index (MPI) to assess their operational efficiency in recent years. Moreover, the article presents a combination of Principal Component Analysis (PCA) and DEA to strengthen the basic DEA results. PCA-DEA combined model is used to measure the efficiency of selected major Korean seaports to strengthen the basic DEA results as the discriminatory power weakens when the variable number exceeds the number of Decision-Making Units. MPI is applied to measure the productivity of the above seaports through the years. The analyses would generate an efficiency and productivity ranking for Korean seaports. The results showed that, except for Gwangyang and Ulsan ports, all the other seaports are currently not efficient enough in their operations. The study also indicated that technological progress greatly impacted the change in the productivity of Korean seaports.

The aim of this study was to determine the mediation roles of problem fields and type D personality in the association between attachment styles and phubbing. The study group in the research comprised 235 women (69.9%), 97 men (28.9%) and 4 people who did not want to state their gender (1.2%) for a total of 336 university students with ages ranging from 18 to 29 years (Mage = 20.85, SD = 1.87). According to correlation analysis results, there were significant associations between attachment styles, phubbing, problem fields and type-D personality traits. According to the results of mediation analysis, the effect of anxious-ambivalent and avoiding attachment styles on phubbing was mediated by type-D personality, along with problems related to social, family, academic and body image. The results were discussed in light of the literature.

Purpose: Evaluate the impact of ophthalmic lenses with a selective blue-violet light filter and an anti-reflexive coating with an additional power of +0.40 D in the near zone, on the convergence functions and in symptoms of digital asthenopia. Methods: A randomized study in cross-over design was conducted on 49 volunteers (age, 29 ± 5.5 years; male: female, 18:31). Each subject wore test lenses (+0.40 D in the near zone) and control lenses (regular single vision), for 4 weeks each in randomized order. Both lenses had a selective blue-violet light filter and an anti-reflective coating. A baseline measurement was taken with the subjects\' current updated glasses and then after wearing either the test lenses or control lenses. Accommodation amplitude (AA) and near point of convergence (NPC) were measured binocularly using the push-up technique with the RAF ruler. An average of three measurements was taken for the analysis. Digital asthenopia (DA) was evaluated by a questionnaire. Results: No significant difference (p=.52) was found for AA at baseline (11.50±1.88 D) and after 4 weeks wearing test lenses (11.61± 1.62 D) or control single vision (SV) lenses (11.88±1.50 D). Similarly, the changes in NPC, between baseline (6.50 ± 2.89cm) and measurement 4 weeks later wearing test lenses (6.71± 3.49) or control SV lenses (6.82± 3.50 cm) were statistically insignificant (p=.94). Comparison between the tested lenses and controls did not reveal significant differences in the values of the total asthenopia scores and between the mean scores of each of the symptoms of DA (p=0.20). Conclusions: The +0.40 D lenses have no negative impact on convergence, \"lazy accommodation\" or loss of accommodation power. The +0.40 D lenses and control SV lenses, both lenses with a selective blue‐violet light filter and an anti-reflexive coating, had a similar impact in attenuating the symptoms of DA.

Chronic hyperglycemic triggers the non-enzymatic glycation of biomolecules, resulting in the production of advanced glycation endproducts, that lead to several micro- and macrovascular complications. Therefore, the discovery of new, effective, and safe anti-glycation agents is an important need. One of the best choices for the management of diabetes is to use complementary and alternative medicinal therapies. Therefore, the present study was designed to evaluate the anti-glycation activity of ethanolic extract of Illicium verum Hook. f. (Star anise, a frequently used spice). A battery of both in-vitro (HSA-fructose glycation assay, SDS-PAGE analysis for cross-linked AGEs formation, DPPH, ABTS, and Fe(II)-chelation assays) and in-vivo assays (such as acute toxicity studies, and streptozotocin-induced diabetic rats model) were employed to assess the anti-glycation activity of ethanolic extract of I. verum. In HSA-fructose glycation model, extract of I. verum showed a good inhibitory activity with IC50 value of 0.11±0.001 mg/mL, as compared to the standard inhibitor, rutin (IC50 = 0.02±0.01 mg/mL). Dual inhibitory mechanisms, i.e., antioxidant and metal chelating activities, were also evaluated by using DPPH, ABTS, and Fe(II)-chelation assays. Extract of Illicium verum showed inhibitory activity in DPPH, and ABTS radical scavenging assays with IC50 values of 130±1.0, and 57±2.0 µg/mL, respectively, while it was found to be inactive in the Fe-chelation assay. Acute toxicity of the different doses i.e. 2,000, 1,500, 1,000, and 500 mg/kg of body weight of Illicium verum extract was also performed. Finally, in-vivo anti-glycation potential was evaluated by 7 weeks of administration of Illicium verum extract in streptozotocin-induced diabetic rats, and found to reduce the elevated blood glucose, urea, lipid, liver function parameters, and renal AGEs levels. These results suggest that Illicium verum supplementation might help to reduce the burden of advanced glycation endproducts, and may have the potential in preventing diabetes-associated complications.

Dual solutions in fluid flow exist against certain values of parameters involved in the solution of the flow problem. In most of the cases in the literature, dual solutions for fluid flow are defined in numerical results. The values of the mass transfer parameter and Deborah number define the dual solution in [1]. Similarly, the dual nature of the solution depends on the values of mass transfer parameter for magnetohydrodynamic, hydrodynamic and hydromagnetic cases in [2].

Coffee organizations have been crucial in shaping the coffee industry in Colombia, which has resulted in prosperity in several regions of the country. However, traditional coffee production is not profitable anymore, so it is necessary to rethink the role of the industry, which is crucial for the country\'s economy. This paper examines the interplay between organizational change and, the reinstitutionalization, the production, and the profitability within the Colombian coffee industry. We used a system dynamics approach, which is useful to understand complex phenomena such as the coffee industry through identifying circular causality relationships.\n\nWe found that, unlike the literature regarding the change in organizational fields, the change tends to diversify due to the peripheral change. Also, the growing praxis from the start of specialty coffee programs, and the renewal of coffee plantations initiated in 1997 is helping strength change and improve profitability within the coffee sector in Colombia even in Covid 19 pandemic context. However, the production has decreased, especially after the end of the International Coffee Agreement (ICA). This scenario might affect the instability of the coffee industry in the future.

The developers of 1C offer a line of software products to automate the production processes of enterprises. 1C: ERP Enterprise Management and 1C: Salary and Personnel Management are the flagship solutions of 1C. In the course of the work, the difficulties that arise when it is necessary to synchronize data between the configurations of 1C: ERP Enterprise Management and 1C: Salary and Personnel Management have been analyzed. This article analyzes the functionality of the above products. An overview of the main elements underlying the mechanism for synchronizing information between 1C applied solutions is given. The process of data exchange and synchronization between the products 1C: ERP Enterprise Management and 1C: Salary and Personnel Management using the built-in tools of the 1C software platform is considered. The process of organizing interaction and data synchronization in the considered solutions is presented. Recommendations related to setting up and receiving synchronized objects are given. The analysis of the results is carried out, conclusions are drawn.

In this paper we introduce an approach to increase density of field-effect transistors framework instrumentation amplifier with variable resistor implementation. Framework the approach we consider manufacturing the amplifier in heterostructure with specific configuration. Several required areas of the heterostructure should be doped by diffusion or ion implantation. After that dopant and radiation defects should by annealed framework optimized scheme. We also consider an approach to decrease value of mismatch-induced stress in the considered heterostructure. We introduce an analytical approach to analyze mass and heat transport in heterostructures during manufacturing of integrated circuits with account mismatch-induced stress.

Tocopherols and sterols are non-dietary functional molecules in sunflower oil, which act as antioxidants, reduce cholesterol and improve immunity against diseases. The present study was designed to determine α-tocopherol and sterols contents in 13 high and 2 low oleic acid sunflower hybrids across 2 seasons (spring and autumn) and 4 locations under subtropical conditions of Pakistan. The results showed that α-tocopherol and sterols contents varied across the seasons and locations. High oleic acid hybrids yielded 38% higher α-tocopherol content than low oleic acid hybrids. Hybrids such as H4 and H5 are considered stable due to comparatively close values of α-tocopherol and sterols contents across all 4 locations when compared with standard checks and other hybrids during spring season. Hybrids H8, H4 and H5 also manifested higher magnitude of heterosis for α-tocopherol and sterols contents that may be due to overdominance gene action. Breeding lines such as B.116.P, B.112.P and RH.365 were positive combiners for the studied traits and thus may carry positive alleles for both α-tocopherol and sterols traits.

Objective: The purpose of this study is to identify nurses’ stress levels experienced due to the COVID-19 pandemic. \nStudy Design: Descriptive study.\nPlace and Duration of Study: This descriptive study was conducted with 662 volunteer nurses working in a city hospital. \nMethodology:Data were collected through the Socio-demographic Form and the Perceived Stress Scale (PSS-14). Data were analyzed in SPSS 21 package programming on the computer. Descriptive statistics included numbers, percentages, and means, Kruskal Wallis, Mann Whitney U, and Spearman Correlation analyses. \nResult: Of all the participating nurses, 61.8% found the pandemic management of the hospital adequate, and 63.4% did not experience problems with protective equipment. The nurses\' perceived stress level mean score was found 31.07±7.78. Significant differences were found between nurses’ perceived stress mean scores according to the variables such as gender, age, working unit, duration of working, finding the pandemic management of the hospital adequate, and experiencing problems with protective equipment. \nConclusion: The nurses’ perceived stress level was found to be above-average. Their stress levels were found to have been affected by some variables due to the pandemic. Nurses could be recommended to use coping strategies in this period. Nurses could be recommended to use coping strategies in this period. Nurses should be recommended to apply coping methods to maintain the optimum health conditions and to reduce or prevent stress in the unit they are working and to recognize the negative effects of job-related stress on health.\nKey Words: Nurse, COVID-19, stress level

Electroencephalogram (EEG) signal classification is a crucial and very difficult task. Meanwhile, extracting features that are representative and able to discriminate different types of EEG signals is a complex task. Such features are usually fed to machine learning algorithms to classify the EEG signals using the extracted features. This paper proposes a highly accurate and real-time features extraction method that can be used to help physicians in detecting different types of seizure and states in EEG signal characterized by a set of features extracted from the power spectrum of EEG window. This is achieved by applying the following four steps. First, the EEG signals dataset contains different classes of EEG signals which are Normal Eye Closed, Normal Eye Opened, Focal Seizure, Non-Focal Seizure, and Ictal Seizure activities. Second, each EEG signal has a length of 4097 samples sampled with a sampling frequency of 173.6 Hz which results in 23.6 seconds in length, this signal will be truncated into windows (Sub-signals) with a length of 349 samples (Approximately 2 seconds) with a total number of 12 windows for each signal. Afterward, for each window, the Fourier Transform (FT) based power spectrum will be computed. Finally, a different set of features will be extracted from each window\'s FT power spectrum and these features are classified using different Machine Learning (ML) algorithms. The results show that the proposed methodology yields around 98% accuracy for the four different classification scenarios using different ML algorithms. The suggested method is hence robust, fast, real-time, accurate, and simple.

Because of the COVID-19 pandemic humans have found themselves suddenly in the most challenging times. This has given rise to Klaus Schwab’s idea of the Great Reset, meaning that there is no way back to the “normal” and that our lives should never be the same again. However, when we read the book COVID-19: The Great Reset that he wrote together with Thierry Malleret what we find is not very promising. The reset as envisioned by influential world financial and political elite, whom Schwab represents, is neither a way back to the past nor a way to the great future. It merely emphasizes the materialistic and conflicting sides of human existence and accelerates accelerate trends that have been with us for a prolonged period of time. Therefore, I argue that if we really want to consider the Great Reset as a new way for the humanity, we need to propose a normative vision that should ultimately include human evolution and social harmony. There are global problems that we need urgently to solve, such as the problem of hunger and environment, of wealth and poverty and of peace and war. These are related to our survival as humankind. But beyond this, we also need to ask ourselves the question of a good life. I want to propose the Great Reset that is really transformative. It shall lead us to a new age of humanity that I call “evolutionity”. While modernity was inspired by the mechanistic and deterministic view of the universe and postmodernity has been characterized by unsolved problems related to globalization, environmental destruction, social unrest, political instability and a regress to irrationality, which has now all been magnified by the COVID-19 crisis, evolutionity is inspired by the idea of human evolution, and by the organic and holistic world view emerging from the new science. It leads to a world of social harmony.

Abstract\nThe article discusses the experience of implementing and using an Automated Project Control System (APCS) at the food industry enterprise of Dagestan – Makhachkala Dairy Plant, JSC. We deal with the Bitrix24 software product, which increases the efficiency of the enterprise by improving the control of working time, business communication of employees with each other and with the manager, optimizing the organizational structure of the company and automating business processes. This article describes the advantages of using Bitrix24 with the following two systems: Customer Relationship Management (CRM) and the Russian accounting program \"1С:Enterprise\". Based on simple economic and mathematical calculations, an algorithm for increasing the productivity gains by 80% is revealed. At the same time, the annual economic impact of the introduction of APCS at the dairy plant of Makhachkala is estimated at 1,9 million rubles.