Levels Of Light Intensity Research Articles

IoT Based Complete Green House Monitoring And Controlling System

An overview of a greenhouse monitoring system that was constructed utilizing IoT devices and sensors is provided in this abstract. By offering real-time monitoring and management of environmental elements essential for plant development, the system attempts to optimize the cultivation process. Sensors with IoT capabilities gather information on temperature, humidity, light intensity, soil moisture, and CO2 levels, which is then sent to a central hub or cloud platform for analysis. The system has benefits including automation, data-driven decision-making, and remote monitoring. On their cell phones, farmers may get real-time data and warnings, allowing for flexible control of greenhouse operations. In order to find trends and recommend measures for enhancing agricultural output and resource utilisation, machine learning algorithms analyse the sensor data. Automation enables accurate environmental parameter management, lowering human error and increasing productivity. Farmers may increase crop output, maximise resource usage, and support sustainable agricultural practises by putting in place an IoT-based greenhouse monitoring system.

Effects of low temperature and highlight stress on lipid accumulation and cell structure of Tropidoneis maxima.

Tropidoneis maxima is a marine diatom with a rapid growth rate that produces high levels of lipids. To explore whether the lipid content could be further enhanced, cultures were first incubated under optimal conditions and then stressed under low temperature (10°C), a high light intensity level (80 μmol/m2 ·s), and the two factors together (interaction treatment). The results indicated that high light intensity and the temperature-light interaction exhibited greater impacts on lipid synthesis of T. maxima than low temperature. The two stress treatments increased lipid content by 17.16% and 16.6% compared to the control. In particular, higher biomass concentration was obtained with high light intensity (1.082 g L-1 ) and low temperature (1.026 g L-1 ). Moreover, high light intensity (9.06%) and interaction (10.3%) treatments yielded lower starch content compared to low temperature (14.27%) at the end of the stress culture. After 3 days of stress culture, the high light intensity treatment resulted in a 97.01% increase in cell wall thickness and an 18.46% decrease in cell diameter. The results suggest that high light intensity stress on T. maxima would open a new approach to cost-effective biolipid production.

Evaluation of Light Intensity Level in Physical Learning Environment of Qazvin University of Medical Sciences, Qazvin, Iran

Background: A lack of enough light in educational-academic spaces causes a wide range of damages and, most importantly, a destructive effect on the learning of students and researchers. Objectives: In this study, the intensity of light (in terms of lux) in the classrooms and laboratories of the faculties of health and paramedicine, medicine, nursing and midwifery, and dentistry of Qazvin University of Medical Sciences, Qazvin, Iran, was measured in 2020. Methods: In this descriptive-cross-sectional study, the numbers of classes and laboratories were 35 and 23, respectively. Natural and artificial light measurements were carried out in the morning and evening. The average readings were compared to international and national standards. Data analysis was performed using R software (version 4.1.0). Results: The classes of the Faculty of Dentistry and Faculty of Medicine had the highest and lowest average intensity of general and artificial lighting, respectively. Moreover, 78% and 82.4% of the general lighting intensity readings in the morning and evening were within the standard range, respectively. However, only 36.8% and 26% of the total readings of artificial light intensity in the morning and evening were outside the defined standard range, respectively. The classes with western and eastern windows had significantly higher general lighting intensity than the northern geographic windows (P < 0.001). Conclusions: In the classrooms and laboratories of Qazvin University of Medical Sciences, the general and artificial lighting in the Faculty of Medicine classrooms and in the majority of laboratories need to be improved.

Implementation of Shallot Pest Trap Model Based on Color Spectrum Using Photovoltaic Energy

East Java is the second center for shallot production in Indonesia, mainly in Probolinggo Regency. Where farmers always complain about shallot crop pests such as leafminer flies, moths, and urethral pests, which will threaten the decrease in shallot production. This study aims to implement a pest-trapping model and determine the effect of the color spectrum on light intensity levels. LED lights on the interest of flying pests of shallot plants, and knowing the effective time of turning on light traps in the shallot rice fields using photovoltaic. The results of this implementation research are pest traps designed with simple and affordable tools for farmers. The color spectrum of LED lights that catch a lot of pests is the LED with the ultraviolet spectrum with the brightest light intensity, then the most effective time to turn on the light trap for onion plant pest traps is 18.00-20.00, where the electrical energy in the pest trap uses photovoltaic.

Physical activity levels and statin therapy: differences between symptomatic and asymptomatic statin users

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Combining statin treatment and physical activity is highly effective to reduce cardiovascular diseases. Statin use may exacerbate statin-associated muscle symptoms (SAMS), making an active lifestyle more difficult for statin users. It is, however, unknown whether daily activity patterns differ between symptomatic and asymptomatic statin users. Purpose To objectively assess physical activity levels and sedentary time and compare these between long-term statin users with or without muscle complaints. Methods Ninety-seven symptomatic (66±9 years, 74% male) and 97 asymptomatic statin users, matched for age and gender in a 1:1 ratio, were recruited from general practitioners offices. Physical activity patterns were measured using the activPAL3 micro monitor, which was attached to the upper right thigh. Participants wore the activity monitor 24 hours per day during 7 consecutive days and were asked to maintain normal daily activities. Results Symptomatic statin users performed less physical activity of moderate to vigorous intensity per day (61.1 min, IQR: 43.1-77.0 min) compared to asymptomatic statin users (69.1 min, IQR: 50.7-94.6 min; P=0.02). There were no differences in physical activity levels of light intensity or sedentary time between the statin groups. Symptomatic statin users took less steps per day (7560 steps, IQR: 5649-9692 steps) compared to asymptomatic statins users (8721 steps, IQR 6306-11791 steps; P=0.02). Conclusion Symptomatic statin users have reduced levels of physical activity compared to asymptomatic statin users. These findings highlight the clinical relevance to explore possibilities for symptomatic statin users to increase physical activity levels and the associated health benefits.

Effects of Light Shading, Fertilization, and Cultivar Type on the Stable Isotope Distribution of Hybrid Rice.

The effect of fertilizer supply and light intensity on the distribution of elemental contents (%C and %N) and light stable isotopes (C, N, H, and O) in different rice fractions (rice husk, brown rice, and polished rice) of two hybrid rice cultivars (maintainer lines You-1B and Zhong-9B) were investigated. Significant variations were observed for δ13C (-31.3 to -28.3‱), δ15N (2.4 to 2.7‱), δ2H (-125.7 to -84.7‱), and δ18O (15.1‱ to 23.7‱) values in different rice fractions among different cultivars. Fertilizer treatments showed a strong association with %N, δ15N, δ2H, and δ18O values while it did not impart any significant variation for the %C and δ13C values. Light intensity levels also showed a significant influence on the isotopic values of different rice fractions. The δ13C values showed a positive correlation with irradiance. The δ2H and δ15N values decreased with an increase in the irradiance. The light intensity levels did not show any significant change for δ18O values in rice fractions. Multivariate ANOVA showed a significant interaction effect of different factors (light intensity, fertilizer concentration, and rice variety) on the isotopic composition of rice fractions. It is concluded that all environmental and cultivation factors mentioned above significantly influenced the isotopic values and should be considered when addressing the authenticity and origin of rice. Furthermore, care should be taken when selecting rice fractions for traceability and authenticity studies since isotopic signatures vary considerably among different rice fractions.

Simulated effects of tidal inundation and light reduction on Zostera muelleri flowering in seagrass nurseries

Zostera muelleri is an abundant seagrass species distributed through intertidal and shallow subtidal waters on the subtropical coasts of Australia. The vertical distribution of Zostera is likely defined by tidal influences, particularly desiccation and light reduction stresses. These stresses were expected to affect the flowering of Z. muelleri; however, it is difficult to quantify the effects of tidal inundation with field studies due to multiple confounding environmental factors affecting flowering (e.g., water temperature, herbivory, nutrients). A laboratory aquarium experiment compared the effects of two levels of tidal height (intertidal and subtidal) and light intensity (shaded and unshaded) on flowering timing, abundance, the ratio between flowering shoots and vegetative shoots, the morphology and duration of flower development. The earliest and greatest flowering intensity was recorded in the subtidal-unshaded group, with no flowers observed in the intertidal-shaded group. Notably, the peak flowering time was the same across shaded and unshaded treatments. Shading prolonged the timing of the first flowering and reduced the density of flowering shoots and spathes, while tidal inundation had a more significant effect on the density of flowering shoots and the density of spathes. Results showed that Z. muelleri could flower under low light conditions or tidal stress but not when exposed to both stresses simultaneously in a laboratory ‘nursery setting’. Therefore, applying subtidal-unshaded conditions appears to be beneficial for seagrass nurseries aimed at improved flower abundance despite the plants previously being collected from and adapted to intertidal meadows. Further studies that explore the suitable conditions for triggering and optimising the flowering will be beneficial in designing cost-effective seagrass nurseries.

Linking trait network parameters with plant growth across light gradients and seasons

Abstract Reduced light availability induced by eutrophication has dramatically affected the growth of submerged macrophytes and caused their rapid decline globally in lakes. Functional traits have usually been used to predict ecological processes and explain plant adaptation. Trait networks, which are constructed from a series of nodes (traits) and edges (trait–trait correlations), can reveal complex relationships among traits. Plant traits belonging to different organs are considered relevant for overall plant performance. Therefore, variation in trait network topology at the whole plant level can better reflect plant adaptation and response to environments than traditional methods, but the mechanisms underlying the decline of plants from a trait network perspective are not well understood. In this study, based on a 1‐year manipulation experiment for Potamogeton maackianus cultured with four levels of light intensity, we constructed trait networks from 20 traits belonging to different organs. Our results showed that trait network connectivity decreases in harsh environments, probably due to increased trait modules responding independently to stress. Network connectivity was positively related to the plant relative growth rate (RGR), as high trait connectivity and coordination should be beneficial for plants to acquire and transport resources efficiently across the whole plant. Additionally, we found that specific stem length, leaf: root mass ratios and leaf total non‐structural carbohydrates were hub traits with high connectivity. Hub traits expressed high phenotypic plasticity, had close links with plant growth and consistently held their higher importance within the network across light gradients or seasons. We found that low phenotypic integration in stressful environments may constrain plant growth, which can provide important implications for understanding plant adaptation strategies to low‐light stress and even predicting community dynamics in the context of global environmental change. Read the free Plain Language Summary for this article on the Journal blog.

Quantitative Optical and Structural Comparison of 3D and (2+1)D Colloidal Photonic Crystals.

Colloidal crystals are excellent model systems to study self-assembly and structural coloration because their periodicities coincide with the wavelength range of visible light. Different assembly methods inherently introduce characteristic defects and irregularities, even with nearly monodisperse colloidal particles. Here, we investigate how these imperfections influence the structural coloration by comparing two techniques to obtain colloidal crystals. 3D colloidal crystals produced by convective assembly are well-ordered and periodically arranged but show microscopic cracks. (2+1)D colloidal crystals fabricated by stacking individual monolayers show a decreased hexagonal order and limited crystal registration between single monolayers in the z-direction. We investigate the optical properties of both systems by comparing identical numbers of layers using correlative microspectroscopy. These measurements show that the less ordered (2+1)D colloidal crystals exhibit higher reflected light intensities. Macroscopic reflection integrating all angles shows that the reflected light intensity levels out with an increasing number of layers, whereas incoherent scattering increases. Although both types of colloidal crystal show similar angle-dependent color shifts in specular reflection, the less-ordered structure of the (2+1)D colloidal crystal scatters light within a larger angular range under diffusive illumination. Our results suggest that structural coloration is surprisingly robust toward local defects and irregularities.

Grazing alters vegetation phenology by regulating regional environmental factors on the Tibetan Plateau

Grazing can alter vegetation material and energy flow, influencing ecosystem structure and function. However, the direction and magnitude of the phenological response to grazing intensity remain relatively unexplored. Using grazing datasets encompassing 114 counties on the Tibetan Plateau (TP) combined with satellite retrievals of solar-induced chlorophyll fluorescence, we investigated the impact of grazing intensity on vegetation photosynthetic phenology from 2000 to 2015. Results showed earlier trends for the start of the growing season (SOS) and the end of the growing season (EOS) across an increased grazing intensity gradient. We found that the sensitivity of the SOS and the EOS to grazing intensity decreased with increasing grazing intensity level. Importantly, structural equation modeling (SEM) indicated that grazing indirectly contributed to the shift of SOS and EOS by regulating environmental factors. Specifically, decreasing grazing intensity increased soil moisture, which contributed to the earlier SOS under light grazing intensity level in spring. In contrast, higher near-surface maximum temperatures and decreased soil moisture induced by grazing promoted the earlier EOS in autumn under moderate and heavy grazing intensity levels. These findings improve our understanding of the response of vegetation phenology to grazing intensity and present new insights for assessing the effects of grazing on vegetation phenology changes.

SPAM (Smart Patient Monitoring System) using Structural Similarity Index Measurement

Abstract. The number of patients in Hospital during pandemic covid-19 has increasing significantly which cause do not get the optimal service because limitation of human resource. Furthermore, they need tools to detect human in patient’s room and monitor the movement of people. IoT capable to control the room properly. Regarding to these problems, the aim of this research is to develop SPAM (Smart Patient Monitoring System) which implement Internet of Thing (IoT) to control the patient in hospital using Rasberry Pi. Those data are real-time and completed by notification via telegram. Consequently, if there are emergency they can observe easily. We use Scructural Similarity Index Measurement (SSIM) technique by comparing different images on several consecutive frames of video by Rasberry Pi. The research methodology is instrument preparation, design system, data processing, testing and evaluation. The experiment prove that the system has effectively spotted human things accurately captured on camera more than 15 trials. Although there is a delay of between 5 and 40 seconds, notifications are also correctly transmitted. The system correctly recognizes when the light is bright with lux > 100 when evaluating the level of light intensity at a distance of 50 cm to 300 cm.
 
 Keywords: Security, Internet of Thing, Hospital, SSIM, Rasberry Pi

Design and characterization of the polychromators for JT-60SA Thomson scattering systems

The Thomson scattering diagnostics are fundamental for a reliable determination of electron density and temperature profiles in Tokamak experiments. In JT-60SA, two systems are currently under development: one is dedicated to the core plasma region, the other to the edge region. They aim to measure the Te and ne profiles with a precision better than 10% and 5%, respectively, at an electron density of 1019 m−3 and with an electron temperature ranging from 10 eV up to 10 keV for the edge system and from 100 eV to 30 keV for the core one. The polychromators design, based on interference filters and APD detectors, is critical to achieve such performance. Each polychromator comprises 6 spectral channels measuring from 1064 nm down to 500 nm for the core system and to 660 nm for the edge one. The design aims at maximizing the efficiency and minimizing the noise under different plasma conditions. About 100 polychromators are manufactured by G.N.R.srl under an F4E contract. In this work, we present the polychromators design and performance. The key features of the optical design and of the mechanical structure are discussed. State of the art interference filters and APD detectors with custom electronics are described. Overall optical transmission measurements of the assembled polychromators and spectral channels calibration are then presented. More specific studies of the APD electrical noise and temperature dependence are discussed. The transmission functions are finally used to predict the error expected in the determination of the electron temperature and density under different levels of plasma light intensity.

Assessment of romaine lettuce cultivars grown in a vertical hydroponic system at two levels of LED light intensity

Romaine lettuce (Lactuca sativa var. longifolia) was cultivated in a hydroponic system, in the free-standing container equipped with two-shelf racks. The luminous intensity of the upper shelves was 200 µmol m−2 s−1, and that of the bottom was 160 µmol m−2 s−1. The plants were exposed to light for 16 h each day. Seven cultivars from two groups were cultivated in this study. There were four cultivars from the midi subtype (‘Casual,’ ‘Pivotal,’ ‘Delcaso,’ and ‘Airton’) and three from the mini subtype (‘Xiomara,’ ‘Coventry,’ and ‘Elizium’). The growth period of lettuce in the hydroponic chamber was 30 days. Immediately after harvest, lettuce was evaluated for plant morphological parameters and for the content of macro- and microelements and metabolites with health-promoting properties. Additionally, sensory evaluation was performed and leaf color parameters were measured.The genotype of romaine lettuce had a major impact on its extrinsic and intrinsic properties. The mini cultivars produced lower fresh mass but contained higher amounts of nitrogen, phosphorus, potassium, copper, and boron than varieties from the midi group. The contents of bioactive compounds were higher for midi romaine lettuce than for the mini type. In terms of nitrate, there were significant differences, and lower nitrate levels occurred in the mini group, except in ‘Coventry.’ The results obtained in this study did not allow us to single out any cultivar from the midi group as the best or the worst in terms of chemical composition. Among the mini cultivars, ‘Elizium’ shown the tendency to accumulate a relatively small amount of nitrate and a relatively large amount of chlorophyll, carotenoid, polyphenol and flavonoid. ‘Coventry’ with the lowest chlorophyll, carotenoid, and flavonoid contents was found to be the poorest in bioactive compounds. The sensory evaluation indicated the good quality of all mini and two midi cultivars, while ‘Delcaso’ (midi cultivar) received the worst marks, because of poor smell and crispness and a bitter aftertaste. The higher light intensity (200 µmol m−2 s−1) used for plant illumination did not unequivocally increase the content of health-promoting components or improve other characteristics of romaine lettuce compared to the light 160 µmol m−2 s−1.

Cabin aircraft comfort evaluation over high fidelity simulated flight.

The primary purpose of this paper is to investigate the possibility of using a Full Flight Simulator (FFS) as an experimental setup for passengers' comfort analysis. Results based on subjective measurements are thus presented to assess comfort levels experienced during a simulated flight. A preliminary investigation has been conducted on a sample of 125 candidates to gain insight into the elements influencing the comfort level perceived based on the participants' actual flight experience; this suggested that the seat configuration is of great importance. Then, the experiment carried out by means of the FFS have been conducted on a reduced sample of 20 candidates for economic and organizational reasons. The behaviour of the 65% of the candidates has been analysed in a seating configuration comparable to the seat of a business-class aircraft. While the experience of the remaining 35% has been studied in an economy-type seat arrangement. Although the main variable under consideration was the seat, several environmental parameters were also considered during the experimental tests to evaluate their effects on perceived comfort level. During each simulated flight, passengers have been subjected to different levels of light intensity, noise, temperature and vibration associated with the different flight phases. Subjective data were collected using a questionnaire concerning every parameter and submitted to the passengers for each flight phase. The aim of varying the environmental parameters inside the cabin was to look for a relation between the subjective comfort level and each comfort parameter. In addition to perceived comfort based on the questionnaire, statistical analysis with parametric and non parametric tests revealed significant effects of environmental variables.

Stoichiometry and environmental change drive dynamical complexity and unpredictable switches in an intraguild predation model

We incorporate stoichiometry (the balance of key elements) into an intraguild predation (IGP) model. Theoretical and numerical results show that our system exhibits complex dynamics, including chaos and multiple types of both bifurcations and bistability. Types of bifurcation present include saddle-node, Hopf, and transcritical bifurcations, and types of bistability present include node-node, node-cycle, and cycle-cycle bistability; cycle-cycle bistability has never been observed in IGP ordinary differential equation models. Stoichiometry can stabilize or destabilize the system via the disappearance or appearance of chaos. The species represented in the model can coexist for moderate levels of light intensity and nutrient availability. When the amount of light or nutrients present is extremely high or low, coexistence of the species becomes impossible, potentially harming biodiversity. Interestingly, stoichiometry can facilitate the re-emergence of severely endangered species as light intensity increases. In a temporally changing environment, the system can jump between different unstable states following changes in light intensity, with the trajectory followed depending strongly on initial conditions.

Internet of Things (IoT)-Based Environmental Monitoring and Control System for Home-Based Mushroom Cultivation

The control and monitoring of the environmental conditions in mushroom cultivation has been a challenge in the mushroom industry. Currently, research has been conducted to implement successful remote environmental monitoring, or, in some cases, remote environmental control, yet there is not yet a combination of both these systems providing live stream images or video. As a result, this research aimed to design and develop an Internet of things (IoT)-based environmental control and monitoring system for mushroom cultivation, whereby the growth conditions of the mushrooms, such as temperature, humidity, light intensity, and soil moisture level, are remotely monitored and controlled through a mobile and web application. Users would be able to visualize the growth of the mushroom remotely by video and images through the Internet. The respective sensors are implemented into the mushroom cultivation process and connected to the NodeMCU microcontroller, which collects and transfers the data to the cloud server, enabling remote access at any time through the end device with internet connection. The control algorithm regulates the equipment within the cultivational chamber autonomously, based on feedback from the sensors, in order to retain the optimum environment for the cultivation of mushrooms. The sensors were tested and compared with manual readings to ensure their accuracy. The implementation of IoT toward mushroom cultivation would greatly contribute to the advancement of the current mushroom industry which still applies the traditional cultivation approach.

Modeling of ternary mixture of VOCs in photocatalytic oxidation reactor for indoor air quality application

Photocatalytic oxidation (PCO) is an innovative method of removing volatile organic compounds (VOCs) from indoor air. PCO technology employs a semiconductor (such as TiO2) and ultraviolet light to decompose VOCs via successive oxidation processes and creates CO2 and H2O as the ultimate products of complete mineralization. The greatest drawback of this technology is, however, the production of hazardous by-products. The possible health risk posed by hazardous by-products inhibits the commercial adoption of PCO-based air purifiers in the indoor environment. Modeling is a powerful tool to address the chemical interaction and mass transfer phenomenon in the PCO reactor. This study presents the modeling of a ternary mixture of VOCs and generated by-products using a proposed degradation reaction pathway. A one-dimensional mathematical model by considering the axially dispersed plug flow and Langmuir-Hinshelwood (L-H) based reaction rate as well as linear source spherical emission model (LSSE) for the irradiation distribution on the media surface were used for modeling of VOCs and by-products. Three VOCs from different chemical groups (aldehyde, ketone, aromatic groups) were chosen as challenge compounds, and a commercial PCO filter (TiO2 coated on silica fiber felts) was considered as a photocatalyst. The model prediction was performed at different levels of concentration (0.1–1 ppm), relative humidity (15–70%), air velocity (0.016–0.1 m/s), and light intensity (7–23W/m2). Among generated by-products, aldehydes were the major by-products of VOCs in the PCO reactor. It was revealed that increasing concentration and irradiation, as well as decreasing relative humidity and velocity, increases by-product generation.

Greenhouse Monitoring and Controlling Using LabVIEW Automation

Traditional greenhouses need to regulate or monitor and control the climactic condition changes to grow healthy plants and other crops. A greenhouse control system should ideally include data collecting, transmission, and remote monitoring. This paper design a system of a model that controls and monitor the temperature, light intensity and soil moisture level right and left side of the soil by sensing the values from sensors and controlling the temperature, and moisture of the soil using one fan, water pumps accordingly. Monitoring and controlling a greenhouse environment collects data from sensors that affect the pace of growth of healthy plants. The system has several physical characteristics to measure, including temperature, light intensity, and moisture. These parameters were sensed using sensors and current/live data was supplied to a computer software Lab view application using an NI DAQ card. Using these measured parameters, save it in a notepad file format and then use Excel to analyze the data for any system or greenhouse modifications or corrections. Recently, the market has seen significant advancements in the automation business. Automation is involved in every sector such as in smart homes, smart industry, and smart agriculture. Greenhouses are a significant means for farmers in rural and urban regions to benefit from automatic monitoring and management of greenhouse environment parameters, which will replace direct human monitoring.

Comparison of dynamic behavior between continuous- and discrete-time models of intraguild predation.

Intraguild predation is a common ecological phenomenon that manifests itself by the aggression of one predator by another to obtain a shared prey species. In this paper, we develop a discrete analog of a stoichiometric continuous-time intraguild predation model. We analyze the dynamics of the discrete-time model, such as boundedness and invariance, stability of equilibria, and features of ecological matrices. The dynamic behavior of the two models is compared and analyzed through numerical analysis. We observe the same coexistence region of populations and stoichiometric effects of food quality of the shared prey in both models. Obvious differences between the discrete- and continuous-time models can be observed with intermediate and high levels of light intensity. The multistability characteristics and the existence interval of chaos differ among the different time scale models. This study provides evidence of the importance of time scales on intraguild predation.

PRELIMINARY ASSESSMENT OF THE EFFECTIVE APPLICATION OF SOLUTIONS TO IMPROVE WORKING ENVIRONMENT IN GARMENT ENTERPRISE

The article introduces the study on applying some solutions to improve the working environment at a garment enterprise in the South Central Coast region and the economic-technical efficiency of the application of those solutions. After assessing the current status of the working environment and workers’ health of the enterprise, the authors have advised enterprises to apply a number of solutions to improve working conditions such as establishing an occupational safety and health (OSH) management system; designing anti-heat ventilation system by exhaust fan system creating negative pressure in the workshop and cooling by Cooling Pad andre-organizing the lighting system. After more than a year of implementing these solutions, when re-evaluating, they all give positive results: reducing the temperature by 3-5.50 C, dust concentration from 0.15-0.45 mg/m3 , increasing light intensity levels to 150-280 lux. As a result, the company’s revenue also increased.