Hospitals tend to have high density of occupancy. Poor indoor environmental quality in hospital buildings can exacerbate the health problems of patients and also harm visitors and staff. This study investigated the environmental characteristics and ventilation affecting the concentration of microorganisms in multiple-bed hospital wards. The measurements were accomplished by using a biosampler and an open plate method at four wards, different positions of electric fans, and different times. Data were analyzed by t-test and MANOVA. The results revealed that the concentrations of airborne bacteria were higher than the concentrations of fungi. There were significant differences in the concentrations of bacteria and fungi between sampling times and between hospital wards (p<0.05), while no difference was observed by positions of electric fans. Correlations between the concentrations and other environmental parameters indicate that temperature, number of occupants, and humidity were physical factors associated with the concentrations of microorganisms. In addition, mostly, Gram-positive bacteria were observed. This indicates the conditions in buildings in the tropical climate, and regular housekeeping of all room areas is needed to prevent the growth of airborne contaminants and the related risks to patients, visitors, and staff.

Purpose: The purpose of this paper is to explore the levels of stress and work motivation of primary and secondary school teachers, investigate factors affecting stress of teachers and validate the consistency of the model and empirical data.Design/methodology/approach: The sample consisted of 400 teachers of primary and secondary schools. Questionnaire was implemented as the instrument and the data were analyzed byt-test, ANOVA and confirmatory factor analysis.Findings: The results indicated that teachers of secondary schools have higher overall stress than teachers of primary schools for many reasons, such as financial issues and work obligations. Stress was found to be significantly positively associated with work motivation in secondary school teachers. The study revealed that demographic and work motivation factors influence teacher stress. The validation of a goodness of fitted model demonstrated an acceptable model fit with empirical data (χ²test/df = 1.913, GFI = 0.934, CFI = 0.965, NFI = 0.930, AGFI = 0.893).Originality/value: Teachers under stress could negatively influence their students’ academic performance and might be more vulnerable to occupational diseases. Therefore, the teachers should find favorite activities that reduce stress and thereby contribute to effective teaching. This study would be beneficial for anyone who works to support teachers and wants to reduce turnover among teachers.

This research focuses on developing an innovative platform to manage carbon footprint data related to office activities and monitor green spaces, integrating geoinformatics and machine learning technologies. The platform addresses the lack of automated systems for tracking carbon emissions, particularly in high paper consumption environments, such as those involving printing and photocopying. Additionally, it monitors green spaces within corporate settings, an aspect often overlooked in existing systems. The study demonstrates the platform’s capability to automate carbon footprint calculations and provide accurate assessments of green areas, achieving a high accuracy rate of 96.22% and a Kappa coefficient of 0.92. The results confirm the platform’s ability to deliver both comprehensive and granular environmental insights, supporting decision making for more sustainable office environments. The key novelty of this study lies in the integration of real-time data capture with geoinformatics and machine learning to efficiently track both carbon footprints and green spaces. This approach offers a practical solution to a gap in environmental data management in office settings, enabling organizations to align their practices with sustainability goals. The platform’s precise, automated system contributes significantly to the development of eco-friendly workplaces, highlighting its academic and practical value in the field of environmental sustainability.

The salted egg is considered to be the well-known product and identity of Surat Thani. It is a One Tambon One Product (OTOP) product which is popular among tourists who come to the area. They normally buy salted eggs as souvenirs to indicate that they have been to Surat Thani. Currently, the production of salted eggs in the area of Chaiya district in surat Thani or even other areas that are not in Surat Thani have high competition in the market. Probably, it is derived from the diffusion of simple production and method. However, to produce salted eggs to be delicious, a big and tasty yolk eggs depends on how to raise ducks and a special way to produce salted eggs. If the amount of ingredients is not consistent, the product will not be standard. Therefore, in helping promote product management, there should be an emphasis on more systematic data storage to help produce products in time and so the system can calculate the raw materials needed to help reduce costs in manufacturing, and help eggs have enough quality of recipes. Also the system can report the quantitative data of production and quantity of raw materials to help check the stockpile of raw materials properly. It also supports decision making and executive planning. This is part of the way to grow your business effectively.

This research presented a system development approach for facility maintenance management system based on GIS and indoor map in the form of web applications that can be used with all devices and no worries about time limitations. The capabilities of GIS, indoor map, and geospatial data visualization help speeding up facility maintenance management process and create benefits to all concerned parties, i.e., users can notify and follow the data of facility errors at the time; or officers in charge can operate quickly because they can access real-time data. Indoor map display makes it easier to access locations or places of damaged facilities. In addition, the data from the model system presented in this research can also be applied to planning and decision-making of executives.

The need to treat illnesses or deterioration of the legs caused by accidents, rheumatism, muscular weakness, paralysis or bone diseases has increased. Paraplegic patients need physical therapy to mitigate their condition. This study developed a gamification smartphone application for leg physical therapy. The application was implemented for patients using Android Operating System smartphones. The smartphone was attached to the walking support equipment. The accelerometer sensor of the smartphone was utilized to measure distance, time, and number of steps. The application acquired data from the sensor, and processed and stored the data in a server, to enable assessment of critical conditions. Moreover, this system would report the evaluation of physical therapy on a weekly basis. Alerts of physiotherapy treatment could be set in this application. The advantages of the application include increasing the patient’s motivation for the therapy, performed by themselves at home, and the results could be used for planning treatments by a physician.