Significant Higher Levels Research Articles

Evaluation of Statistical Models of NDVI and Agronomic Variables in a Protected Agriculture System

Vegetable production in intensive protected agriculture systems has evolved due to its intensity and economic importance. Sensors are increasingly common for decision-making in crop management and control of environmental variables, obtaining optimal yields, such as estimating vegetation indices. Innovation and technological advances in unmanned vehicle platforms have improved spatial, spectral, and temporal resolution. However, in protected agriculture systems, the use is limited due to the assumption of having controlled environmental conditions for indeterminate vegetable production. Therefore, sequential monitoring of NDVI is proposed during the 2022 and 2023 agricultural cycles using the Green Seeker® sensor and agronomic variables. This has created a database to generate predictive models of development and yield as a function of nutrient status. The results obtained indicate high significance levels for the development and NDVI curves in all phenological stages; in contrast to the yield predictive models, this is due to the maximum values (close to one) recorded for NDVI inside the greenhouse in comparison to the yield prediction obtained from the 18th week of harvest. Evaluating the models between NDVI and agronomic variables is not an index that offers certainty in predicting yield in indeterminate crops in protected agriculture production systems. This is due to the constant optimal development in response to controlled environmental conditions, nutrient status, and water supply inside the greenhouse, without the sustainability of yield, which decreases in the final stages of production until production becomes economically unprofitable.

A retrospective study on potential drug‒drug interactions in patients with severe asthma receiving biological therapy: a single-center experience

BackgroundPrevalence of potential drug-drug interactions (pDDIs) in adult patients with severe asthma on biological therapy and their clinical significance have not been fully addressed, thus the aim of this study was to investigate them.MethodsIn this retrospective observational study, patients who were diagnosed with severe asthma and to whom biological therapy was prescribed between September 2015 and December 2020, were enrolled. The study was conducted at the Department of Allergic and Obstructive Pulmonary Diseases, Clinic for Lung Diseases Jordanovac, Clinical Hospital Center Zagreb. Data on demographic characteristics as well as concomitant medication were collected. The analysis of pDDIs was conducted via Lexicomp® online software. Interactions of significance levels A and B were only recorded, while those of levels C, D and X were further analysed. The collected data was processed via Microsoft Excel 365 software.Results60 adult patients, 60% female and 40% male, with median age of 56.2 years, were enrolled. The incidence of pDDIs was 86.67%. Total number of pDDIs detected was 518, out of which 43.24%, 45%, 4.44% and 7.3% of clinical significance B, C, D and X. Interactions of level C, D and X were recorded in, as follows: 83.33%, 25% and 33.33% patients with an average of 4.66, 1.53 and 1.9 interactions per patient. Only 13.33% of the patients had none of the potential clinically significant DDI. Most drug pairs contained at least one antiasthmatic drug. Muscarinic receptor antagonists, oral corticosteroids, β2 agonists and methylxanthines showed potential of entering into clinically significant DDIs, while leukotriene antagonists and biologicals showed no potential for the above.ConclusionPrevalence of potential drug-drug interactions in patients with severe asthma on biological therapy is high. The majority of identified interactions have moderate to high level of clinical significance. Their identification, prevention and resolution could contribute to optimizing therapy, maximizing its therapeutic effect and avoiding undesirable adverse events.

A Multi-dimensional Validation Strategy of Pharmacological Effects of Radix Isatidis Mixtures Against the Co-infection of Mycoplasma gallisepticum and Escherichia coli in Poultry

Natural drugs possess exceptional pharmacological properties, yet their development is often hindered by a lack of clarity regarding the mechanisms of their pharmacological actions. Building on our previous research, we employed a co-infection model with Mycoplasma gallisepticum (MG) and Escherichia coli (E. coli) to investigate the pharmacological action of Radix Isatidis Mixtures (RIM). To further demonstrate the various mechanisms underlying the pharmacological effects of RIM, we conducted a validation study focusing on gene expression, protein interactions, metabolic pathways, and molecular docking. Through a multi-omics joint analysis network, we identified key targets and metabolites associated with co-infection and conducted targeted verification experiments with RIM aqueous extracts. The experimental results indicated that, compared to the co-infection group, the RIM treatment group significantly modulated the expression of select genes and proteins, particularly MMP2 and TLR4, with a high level of statistical significance (p < 0.01). At the metabolic level, the treatment group exhibited significantly reduced expression levels of Dopamine and γ-Aminobutyric acid. Notably, the molecular docking results highlighted compounds with the most favorable binding affinities: Salvianolic acid A (-10.1 kcal/mol), Licorice (-9.3 kcal/mol), and Isoglycyrrhiza (-8.7 kcal/mol). In conclusion, our multi-level experiments demonstrated that RIM possesses the characteristics of multi-pathway and multi-target treatment for co-infection.

Genome-wide analysis of Class III peroxidase (PRX) family core genes and functional mechanism of GhPRXR1-A for seed development in Gossypium hirsutum.

Class III peroxidases (PRXs) play critical roles in plant growth and development by oxidizing various substrates with H2O2. Although many PRXs have been identified and their roles in biotic and abiotic stress responses have extensively investigated in plants. However, functional mechanisms of PRXs in seed development remain poorly understood. In this study, 14, 17, 9, and 13 PRX core genes were identified in Gossypium hirsutum, Gossypium barbadense, Gossypium arboreum, and Gossypium raimondii, respectively. Phylogenetic analysis categorized PRXs core genes of cotton into five groups. Six of the GhPRX genes co-localized with quantitative trait loci (QTLs) associated with oil or seed size, and GhPRXR1-A showed significant high expression levels in developing ovules. Heterologous overexpression of GhPRXR1-A in Arabidopsis thaliana resulted in a significant increase in thousand seed weight (Col-0: 0.015±0.00085g vs. OE-GhPRXR1-A: 0.022±0.0019g). In addition, molecular mechanism assays revealed that GhPRXR1-A is directly activated by GhGATA1 and interacts with GhNFYC4, a transcription factor of the nuclear factor Y, C subunit family that has previously been reported to mediate seed development. Collectively, these findings suggest that GhPRXR1-A is a regulator of seed development in Arabidopsis and may have similar functional role in cotton seed contributing traits.

Optimization of Malabar Nut (Justicia adhatoda L.) Leaves’ Phenolic Compounds by Alginate Emulsion-gelation Approach using Response Surface Methodology

Background: The encapsulation technique is an effective method for coating bioactive molecules and protecting them against various technological treatment conditions during production processing. Objective: The aim of this study was to optimize the encapsulation conditions of phenolic compounds extracted from Malabar nut (Justicia adhatoda L.) leaves by alginate emulsion-gelation approach using response surface methodology Methods: The ionotropic gelation method was used to encapsulate the phenolic compounds of Malabar nut (Justicia adhatoda L.) leaves. The optimization of this phenolic compounds encapsulation was carried out using response surface methodology through Box˗Behnken design. Four parameters with three levels (-1, 0, +1) were chosen including sodium alginate concentration (2 – 3 - 4%), calcium chloride concentration (4 - 6 - 8%), plant extract-alginate solution ratio (0.02 – 0.11 - 0.2 mg/ml), and gelation time (5 – 12.5 - 20 min). of the total phenolic and flavonoid contents encapsulation efficiency was assessed. Likewise, the antioxidant activity was evaluated using ferric-reducing power (FRP) and free radical scavenging activity (DPPH). Results: The results of response surface methodology analysis using Box˗Behnken design showed that the optimal encapsulation conditions were 3.11% for alginate concentration, 5.74% for calcium chloride concentration, 0.1 mg/ml for the plant extract-alginate solution ratio, and 10.80 min for gelation time. Under these conditions, the optimum values of total phenolic and flavonoid encapsulation efficiency were 86.17% and 75.69%, respectively, 126.75 mg AAE/100 g for ferric reducing power and 97.29% for DPPH. The experimental and prediction results have expressed a high significant level for all responses. Conclusion: The method revealed the validity of elaborated models through response surface methodology optimization processes for phenolic antioxidants encapsulation of Malabar nut (Justicia adhatoda L.) leaves extract.

Биохимический способ определения готовности ожоговой раны к аутодермопластике

The choice of tactics for surgical treatment of burn injury mainly depends on the course of the injury process, the presence of inflammatory changes in the wound, the addition of pathogenic microbial flora, the state of the body's immune system and the presence of concomitant pathology. Determining the optimal and early terms for autodermoplasty is of particular importance in severely burned patients with a large deficit of donor resources. Therefore, the issues of determining the readiness of the burn injury surface for skin graft transplants remain relevant at present, and the search for solutions to this problem continues. The purpose of the study is to study injury discharge from the surface of burn injuries with the determination of biochemical indicators of total protein and fibrinogen and the level of bacterial contamination to develop a method for determining the readiness of burn injuries for autodermoplasty. Materials and methods. To achieve the stated objective, 70 samples of biochemical analyses of total protein and fibrinogen of injury discharge, as well as bacterial cultures with determination of the level of bacterial contamination of injuries, taken from 19 patients with deep burns of III (IIIb-IV) degree were studied. Autodermoplasty was planned for all patients during treatment. Injury discharge sampling was collected for studying the concentrations of biochemical markers and determining bacterial contamination the day before plastic surgery. Results and discussion. The analysis of the data revealed statistically significant high levels of total protein and a decrease in fibrinogen levels in wound discharge with a degree of contamination of burn injuries ≤ 103 CFU/g, than with higher levels of bacterial contamination of the injury. Based on the results obtained, a method was developed for determining the readiness of the burn injury surface for autodermoplasty. Conclusion. Determining the degree of readiness of burn injuries for plastic surgery, according to the proposed method, allows you to quickly obtain and analyze data on the state of the injury process and simultaneously determine the tactics of surgical treatment in burn patients. Key words: burn injury, autodermoplasty, fibrinogen, total protein

Apical-out intestinal organoids as an alternative model for evaluating deoxynivalenol toxicity and Lactobacillus detoxification in bovine

Small intestinal organoids are similar to actual small intestines in structure and function and can be used in various fields, such as nutrition, disease, and toxicity research. However, the basal-out type is difficult to homogenize because of the diversity of cell sizes and types, and the Matrigel-based culture conditions. Contrastingly, the apical-out form of small intestinal organoids is relatively uniform and easy to manipulate without Matrigel. Therefore, we sought to investigate the possibility of replacing animal testing with bovine apical-out small intestinal organoids (Apo-IOs) by confirming the toxicity of mycotoxins and effectiveness of L. plantarum as mycotoxin-reducing agents. The characteristics and functions of Apo-IOs were first confirmed. The gene and protein expression of stem cell, proliferation, mucous, and adherence markers were detected, and the absorption capacity of amino and fatty acids was also confirmed. FITC-4 kDa dextran, a marker of intestinal barrier function, did not penetrate the Apo-IOs, confirming the role of the organoids as a barrier. However, when co-treated with deoxynivalenol (DON), FITC-4 kDa dextran was detected deep within the organoids. Moreover, qPCR and immunofluorescence staining confirmed a decrease in the expression of key markers, such as LGR5, Ki67, Mucin2, Villin2, and E-cadherin. In addition, when Apo-IOs were treated with Lactobacillus plantarum ATCC14917 culture supernatant (LCS) and DON together, cell death was reduced compared to when treated with DON alone, and FITC-4 kDa dextran was confirmed to flow only to the peripheral part of the organoid. The qPCR and immunofluorescence staining results of LCS and DON co-treatment group showed that LGR5, Ki67, Mucin2, Villin2, and E-cadherin were expressed at significant higher levels than those in the DON treatment group alone. In this study, we found that the characteristics and functions of bovine Apo-IOs were similar to those of the intestinal structure in vivo. Additionally, the effects of mycotoxins and effectiveness of L. plantarum as mycotoxin-reducing agents were confirmed using bovine Apo-IOs. Therefore, bovine Apo-IOs could be applied in toxicity studies of mycotoxins and could also be used as in vitro models to replace animal testing and improve animal welfare.

Nonverbal expressions of positive emotions by the linguistic personality of an American politician

The article studies the problem of interpreting nonverbal expression of emotions, which is considered at the intersection of psycholinguistics, intercultural communication theory, linguoculturology, emothiology and nonverbal semiotics. A universal, supra-cultural system for nonverbal character decoding has not been developed so far. However, there are local interpretive systems created by the expert community. We believe that the study of non-verbal expressions of emotions by the politician’s language personality is possible through the integrated application of such research methods as discursive analysis and critical discourse analysis, allowing us to consider the peculiarities of the dialectical interaction between discursive acts and situations, institutions and social structures, in which they are integrated. Modern artificial intelligence technologies can be applied in the analysis of nonverbal expressions of emotions, in order to evaluate the “average” public opinion. The purpose of this article is to analyze non-verbal ways of expressing emotions by the American political linguistic personality (exemplified by Kamala Harris, Donald Trump and Hillary Clinton) and to highlight their transformations and existing trends. The article concludes that the non-verbal expression of emotions of the American linguistic personality as a phenomenon has a high level of social significance and has already become a part of the American value system. This process is not static, it is in progress today. In general, positive emotions and their nonverbal manifestations are becoming key factors, most often observed by researchers in the modern media environment.

Associations Between Metabolic Age, Sociodemographic Variables, and Lifestyle Factors in Spanish Workers.

Metabolic age is defined as an estimation of a person's age based on their basal metabolic rate (BMR) and other physiological health indicators. Unlike chronological age, which simply measures the number of years lived since birth, metabolic age is based on various health and fitness markers that estimate the body's "true" biological age and can be assessed using various methodologies, including bioimpedance. The aim of this study was to evaluate how age, sex, social class, smoking habits, physical activity, and adherence to the Mediterranean diet influence metabolic age. A cross-sectional, descriptive study was conducted on 8590 Spanish workers in the Balearic Islands. A series of sociodemographic variables and health-related habits were assessed, while metabolic age was measured using bioimpedance. A metabolic age exceeding chronological age by 12 years or more was considered high. A descriptive analysis of categorical variables was performed by calculating their frequency and distribution. By applying multivariate models, specifically multinomial logistic regression, we observe that all independent variables (sex, age, social class, physical activity, mediterranean diet, and smoking) show varying levels of association with the occurrence of high metabolic age values. Among these independent variables, those showing the highest degree of association, represented by odds ratios, are physical activity, adherence to the Mediterranean diet, and social class. In all cases, the observed differences demonstrate a high level of statistical significance (p < 0.001). The factors with the greatest influence were physical inactivity, with an OR of 5.07; and low adherence to the Mediterranean diet, with an OR of 2.8; followed by social class, with an OR of 2.51. Metabolic age increased with chronological age and was higher in males, with an OR of 1.38. Smoking also had a negative impact on metabolic age, with an OR of 1.19. Mediterranean diet is associated with a higher metabolic age. The most influential factors on metabolic age are physical activity and adherence to the Mediterranean diet, followed by the individual's socioeconomic class. Smoking also contributes to increased metabolic age, albeit to a lesser extent.

The influence of environmental factors on knowledge management and innovation capacity

This study aimed to analyze the relationship between environmental factors, Knowledge Management (KM), absorptive capacity, KM maturity level, and innovation capacity. This research used a descriptive survey of the field and was carried out from a quantitative perspective through an online questionnaire. Then, a multivariate exploratory factorial analysis was carried out, which was followed by Structural Equation Modeling (SEM) to identify and verify significant relationships, both analyses were done using Partial Least Squares (PLS). The PLS-SEM results indicated a high level of significance in the relationship between the organizational environment and KM and innovation capacity respectively. Regarding the hypotheses posed by the research model, positive influences were found in the relationships between environmental factors and knowledge transfer, knowledge transfer and maturity level, as well as maturing level and innovation capacity. Hypotheses involving absorptive capacity were also confirmed. The research framework highlights factors that impact KM and assist in their practical application to reach a high level of knowledge maturity, thus conferring a constant strategic advantage in terms of innovation capacity. A model including organizational environment, knowledge transfer, absorptive capacity, knowledge maturity, and innovation capacity has never before been tested to the best of our knowledge. As for implications for the private sector, this study illuminates how these factors are related, influence each other, and contribute to increasing KM maturity and innovation capacity within a company.

Nutritional Content Analysis Of Yellow Pumpkin Brownies (Cucurbita Moschata L.) With Stevia Sweetener (Stevia Rebaudiana) As A Sugar Cane Substitution

An unhealthy diet that includes sugary snacks may promote a rise in glucose levels and enhance the risk of Type 2 Diabetes Mellitus (T2DM). Brownies are high in sugar and should be replaced with healthier ingredients to reduce their sugar content and glycemic index with stevia as natural sweeteners and yellow pumpkin which are low in calories and carbohydrates. To determine the nutritional content of brownies products with the substitution of cane sugar with stevia and yellow pumpkin. This study utilized a quasi-experimental design using completely randomized design (CRD). We experimented to evaluate the effects of four different treatments, comparing the use of cane sugar and stevia in different ratios: 100% cane sugar (P0), 50% cane sugar and 50% stevia (P1), 25% cane sugar and 75% stevia (P2), and 100% stevia (P3). Moisture, ash, protein, fat, carbohydrate and energy variables were tested using by different method, gravimetric, kjehdahl, soxhlet, by difference, and atwater which was repeated 3 times. We conducted data analysis using a one-way ANOVA and Duncan test to determine the treatment pairs with the highest significance level. The findings demonstrated that replacing cane sugar with stevia significantly affect the nutritional content of yellow pumpkin brownies products (p&lt;0.05, for all comparisons). The treatments with the highest average of nutritional contents were as follows: P3 had the highest moisture content (48.64±0.04%), ash content (1.06±0.06%), protein (6.93±0.11%), and fat (14.49±0.34%), whereas P0 had the highest carbohydrate content (39.45±0.23%) and total energy (281.19±0.76 kcal/100g). The nutritional content of yellow pumpkin brownies has significantly modified by substituting sugar cane with stevia. However, additional investigation is required to determine other nutritional contents and assess its potential as functional food.

Experimental study on the creep performance of Grade 8.8 and 10.9 high-strength bolts at elevated temperatures

High-strength bolts are widely used in beam-column connections which are typically subjected to significant pretension and experience high stress levels. Under fire conditions, high-strength bolts may exhibit noticeable creep deformation due to the combined effects of high stress and high temperature, which may result in significant deformation of the connection, thereby threatening the stability of the structure. This paper reports an experimental study on the creep behavior of Grade 8.8 and 10.9 high-strength bolts at elevated temperatures. A series of tensile tests are conducted on high-strength bolts at elevated temperatures, and varying stress ratios are set based on the yield strength measured form the tensile tests. Test results indicate that the temperature has significant influence on the mechanical properties of Grade 8.8 and 10.9 high-strength bolts. Through the entire temperature range, current specifications significantly overestimate the yield strength of high-strength bolts at high temperatures. At the same temperature, the development of creep strain over time is positively related to the stress ratio. An increase in stress ratio from 0.4 to 0.6 or 0.8 results in a maximum 7.8-time increase in creep strain. The temperature of 500℃ can be regarded as the critical temperature at which the creep effects of Grade 8.8 and Grade 10.9 high-strength bolts should be considered. The mechanical property prediction equations and a modified creep model for Grade 8.8 and 10.9 high-strength bolts were developed, which have high reliability in predicting the high-temperature mechanical properties and creep behavior of high-strength bolts.

Pengaruh Penggunaan Perpustakaan Sekolah Sebagai Sumber Belajar Terhadap Prestasi Belajar Siswa Kelas VII Pada Bidang Studi IPS

This study aims to explore the effect of school libraries on learning achievement. The researcher is a quantitative research using statistical data analysis. The sample in this study amounted to 41 students who were taken randomly (random) from a total population of 209 students in class VII of SMP Negeri 4 Gerung. Based on the results of hypothesis testing which says that there is an effect of using library media on the learning achievement of seventh grade students at SMPN 4 Gerung by using the product moment correlation formula, it shows that student learning achievement can be improved through the implementation of the library which in the test obtained Rxy of 0.495 which is interpreted as still in a high significant level.

An eye’s look unmasks the mystery: correlation between serum amyloid beta peptide, hippocampal volume and retinal thickness in Alzheimer`s disease

BackgroundAlzheimer’s disease (AD) is the commonest worldwide neurodegenerative disorder. Nevertheless, it usually face difficulties to guarantee a secured initial diagnosis. For this reason, neurologists are in dire need for developing potential biomarkers that could be relied upon confidentially in early diagnosis of AD. Hopefully, this will open the gate for novel modifying therapy to fight with all their might. In this current study, we aimed to correlate plasma levels of tau and Aβ with the changes that occur in hippocampal volume and thickness of retinal fiber layers in patients who clinically diagnosed with AD spectrum. A cross-sectional study enrolled 60 AD patients who fulfilled inclusion and exclusion criteria were subjected to cognitive, radiologic, laboratory and optical coherence tomography (OCT) assessments.ResultsTau, Aβ1–40, and Aβ1–40/Aβ1–42 ratio are significant discriminators of AD at cutoff values of >23.45, > 84.4, and > 1.95, respectively. MRI hippocampal volume in both right and left sides are also good discriminators of AD at cutoff values of ≤ 2.997, and ≤ 2.994, respectively. A significant correlations were reported between tau with Aβ1–40, Aβ1–42, MMSE and MRI right and left hippocampal volumes. On comparing moderate versus mild AD, there was a high significant levels of tau, Aβ1–42, Aβ1–40/Aβ1–42 ratio.ConclusionsWe clarify that several biomarkers could be potentially used for confirming the diagnosis of AD. Assessment of plasma amyloid level, detection of hippocampal atrophy and retinal nerve fiber layer thickness changes are promising tools for early diagnosis of AD.

Placental lesions in birth asphyxia and hypoxic ischemic syndrome.

Birth asphyxia is a severe condition that includes a number of potential pathways of occurrence both in utero and during childbirth. The present study aimed to identify and describe specific macroscopic and microscopic placental injuries in birth asphyxia to serve as an effective tool to stratify the potential further evolution of a newborn, as hypoxic ischemic encephalopathy can be responsible for neonatal death or severe neurological sequelae further, compromising the quality of life of the affected individual. For this purpose, an observational prospective study was conducted over a period of 3 years. A total of 62 patients diagnosed with birth asphyxia, who had a placental histopathological examination performed were enrolled in the study. The control group consisted of 69 term newborns that required neonatal intensive care for at least 3 days, in the same time period, for any other reason and that also had available placental examinations. In the present study, placental histopathological lesions identified in birth asphyxia have been classified according to the Amsterdam Criteria. Data gathered from both groups were analyzed by applying specific statistical tests for each type of variable and hypothesis. Thus, umbilical cord abnormalities were associated with hypoxic ischemic encephalopathy in a statistically significant manner when comparing the birth asphyxia group of newborns with the control group. In addition, a high statistical level of significance was identified for microscopical lesions, such as maternal and fetal vascular malperfusion and the occurrence of hypoxic ischemic syndrome when comparing the two groups (P=0.01). The macroscopic and microscopic placental examination can provide critical information for the evolution of the disease in selected newborns according to the identified lesions.

Development and verification of material models in modeling of wave strain hardening and additive synthesis processes

BACKGROUND: The creation of competitive machine parts capable of withstanding standard and increased operational loads is an urgent task in mechanical engineering. Developing additive synthesis technologies together with strengthening technologies make it possible to create such products with high load-bearing capacity. However, to improve the efficiency of these technologies, it is necessary to create theoretical models of the processes taking place. The article presents the results of the first stage of creating complex theoretical models of the combined 3DMP process and wave strain hardening (WSH) required for designing technological processes for manufacturing engine parts and brake systems of automotive equipment. . AIMS: Creation and assessment of the adequacy of material models used in finite element modeling of additive synthesis processes with subsequent hardening. MATERIALS AND METHODS: Theoretical models of the material were created in the ANSYS software package, which allows for multidisciplinary calculations. The experimental data required for preparing the models were obtained by testing tensile samples manufactured using standardized methods. The hardness of materials was studied using a KB 30S automatic hardness tester. The adequacy of additive synthesis modeling was assessed based on the distribution of temperature fields. The adequacy of material models for the VDU process was assessed based on the sizes of individual plastic indentations and the distribution diagrams of the depth and degree of hardening in the surface layer. RESULTS: Theoretical models of the following materials were developed: steel, stainless steel, bronze alloy, titanium alloy, aluminum alloy. The theoretical data obtained from the modeling results have a high level of significance. The studies were conducted for various thermal (in the range from +20ºС to +800ºС) and deformation modes. Graphical results of theoretical and experimental studies allow us to obtain a qualitative assessment of the processes under study with the required accuracy. CONCLUSIONS: As a result of the assessment of the adequacy of the developed models, it was established that the discrepancy between the empirical and theoretical data does not exceed 7.4%. The obtained models of materials are statistically significant and can be correctly applied in further studies.

Finding Critical Factors for Developing Dynamic Models to Optimize Greenhouse Solar Dryer’s Environmental Conditions

This paper is focused on the formulation of a mathematical model for greenhouse solar dryer systems in the context of determining the principal drivers of efficiency of the solar dryer. The model was built by evaluating the correlation coefficients of each term and only those terms which had high levels of significance were retained. To test this model, experiments were replicated with measurements being taken in the different sections of the greenhouse to provide a large spectrum of the environmental conditions involved. The values of the technical coefficients are predicated on internal air temperature, humidity ratio and weight of the product with fixed scales, avoiding sophisticated complex models prone to overfitting. By using terms with high correlation, the model is less likely to be affected by outliers and total correlation or cross correlation is low, thereby making the model practical. The outcomes of this research, therefore, offer a scientifically viable and a practical approach to enhancing drying processes in greenhouse solar dryer systems.

Science and Innovation Management: Sustainable Development Goals 8 and 9 as Challenges for Poland

This manuscript continues the series of research publications on Sustainable Development Goals 8 and 9 (SDGs 8 and 9). Innovations play an essential role in the global and national economies, as they contribute to the growth of economic productivity, the creation of new products, services, and jobs, and improve the quality of life. In the context of innovation, economy and artificial intelligence (AI) are the ideological and technological components of the innovation process. The authors hypothesized that the Polish system for assessing the importance of scientific economic journals is ineffective for social development and for creating an innovation-based economy. The research methods are a scientometric analysis of 795,070 scientific sources by the keywords “Economy” and “Artificial Intelligence”, a bibliometric analysis of 219,739 sources by the keywords “Economy”, “Economic productivity”, and “Innovation”, correlation analysis, and testing statistical hypotheses. The study led to the adoption of an alternative statistical hypothesis, which is a strong confirmation of the basic hypothesis. A new model for assessing the weight of scientific journals was created based on the existing system. Two management recommendations were formulated in the rules for determining the weight of journals. The high R2 value indicates that the new model effectively predicts the result. The correlation coefficient of the weight of journals in the new model is more than 98%. When verifying statistical hypotheses, a high significance level of 99.0 was used. The study’s practical significance is in the movement of Polish science to a leading place in the world market of scientific products.

Digitalization as a determinant of transformations in the cognitive subsystem of the psyche

Introduction. The purpose of the work was to study the theoretically and practically urgent problem of transformations of the cognitive and metacognitive spheres of personality under the influence of digitalization factors, as well as to identify and explain the psychological consequences to which they lead in relation to educational activities. Materials and methods of research. The most valid and reliable methods developed in modern metacognitivism were used – the “Metacognitive Awareness of Activity” technique (G. Schrow, R. Denison); MAI method D. Everson; a method for diagnosing an individual measure of the development of reflexivity (A.V. Karpov, V.V. Ponomareva), as well as the author’s methods for diagnosing an individual measure of the development of metathinking and metamemory. Methods of mathematical and statistical processing (ANOVA) and methods based on the methodology of structural psychological analysis were used. The study involved 192 students from different universities in Yaroslavl. Research results. For the first time, it has been established that the determinative influence of digitalization factors on the metacognitive sphere of the individual is fundamentally diversified, since it combines both positive and negative tendencies. In relation to 5 of the 8 parameters studied, it is negative, in relation to 1 – positive and statistically significant at a fairly high level of significance – not lower than p &lt; 0.05, in relation to 2 – neutral. As a result, a fundamentally new, hitherto undescribed phenomenon is established, which is designated as a syndrome of decreased metacognition. Discussion of results and conclusion. A number of new data have been obtained that reveal and explain the general pattern consisting in the existence of a significant determinative influence of digitalization factors on the metacognitive sphere of the individual, both in general and in the context of educational activities. The discovered influence is also fundamentally diversified – complex, since it is carried out at two main levels – analytical and structural. The essence of the analytical level of determination is that there is a significant and quite significant decrease in the degree of development of individual components of the metacognitive sphere – the main secondary cognitive processes and their corresponding qualities. The specificity of the structural level of determination is that similar – also significant and significant transformations occur in terms of general organization – the structuring and integration of these components into integrity.

Utilizing data analysis to identify the best players from the 2019 draft

This study seeks further standardization of the evaluation process of these players while recognizing that it is indeed inherently quite complex and subjective. Acknowledging the different skill sets in professional basketball, this research stresses the need for specialized approaches in evaluating players fully. Diversity and balance are what make a player fit as it assumes those who perform well in multiple positions, meaning they have both offensive and defensive skills are likely to be fitter. This research adopted a quantitative approach to analyze KPIs (games played, minutes per game, adjusted shooting percentage, rebounds, total points) in assessing player performance and return on investment. There was a very high correlation between minutes played and points scored from this analysis at a very high level of significance showing that one person can play many roles being versatile is key. The 2019 mock draft ranks players based on a combined scoring system, finding the highest value of players like Zion Williamson and Ja Morant. Research can improve draft strategies and objectives, and data-driven evaluation methods can boost player development and team success. It can help teams to find suitable players based on team playing styles.