This paper presents a structural equation model to determine the job satisfaction and occupational health impacts concerning organizational and physical ergonomics, using (as a study) objective unionized workers from the University of Sonora, South Campus, as an educational enterprise, during the SARS-CoV-2 pandemic. The above is a key element of an organizational sustainability framework. In fact, there exists a knowledge gap about the relationship between diverse ergonomic factors, job satisfaction, and occupational health, in the educational institution’s context. The method used was a stratified sample of workers to which a job satisfaction–occupational health questionnaire was applied, consisting of 31 items with three-dimensional variables. As a result, the overall Cronbach’s Alpha coefficient was determined, 0.9028, which is considered adequate to guarantee reliability (i.e., very high magnitude). Therefore, after the structural equation model, only 12 items presented a strong correlation, with a good model fit of 0.036 based on the root mean square error of approximation, 1.09 degrees of freedom for the chi-square, 0.9 for the goodness of fit index, and a confidence level of 95%. Organizational and physical factors have positive impacts on job satisfaction with factor loads of 0.37 and 0.53, respectively, and p-values of 0.016 and 0.000, respectively. The constructs related to occupational health that are considered less important by the workers were also determined, which would imply a mitigation strategy. The results contribute to the body of knowledge concerning the ergonomic dimensions mentioned and support organizational sustainability improvements in educational institutions and other sectors.

This paper presents the design and implementation of a low-profile remote monitoring and control system for water level management in storage tanks located in rural communities. The system was developed to ensure a reliable water supply, prevent spills, reduce electrical energy consumption, and mitigate theft and vandalism risks posed by a previously installed, highly exposed commercial system. The proposed system employs LoRa technology to transmit water level data from the storage tank to a receiver located 6 km from the water well. When the water level drops below a predefined threshold, the system transmits an activation signal through the LoRa network to start the well pump and trigger tank refilling. In addition, an SMS monitoring module enables users to remotely verify water level and pump operational status at any time. System notifications and operational data are automatically delivered via SMS to predefined phone numbers, enabling continuous supervision without requiring internet connectivity. The implementation of the proposed system thus provides an efficient and reliable solution for water resource management in rural environments, ensuring continuous water availability and preventing supply shortages. LoRa communication enables robust long-range data transmission, while SMS-based monitoring offers real-time operational awareness for end users. The system was validated through field testing in a pilot rural community, demonstrating operational robustness, improved water management efficiency, and measurable positive impacts on residents’ water service continuity. The low-profile physical design significantly reduced theft and vandalism incidents reported by the local water authority. Experimental results showed an average monthly reduction of 41.2% in electrical energy consumption while maintaining high system reliability, physical security, and real-time monitoring capability.

Cu³⁺-like species and oxygen vacancies (Vₒ) in electrospun CuO nanofibers were identified by X-ray photoelectron spectroscopy (XPS) via Cu 2p^3/2 and O 1s core-level spectra. Nanobeam electron diffraction (NBD) revealed a Cu³⁺-related superlattice. The geometrical topofactor method corroborated the chemical composition of samples thermally treated at 600 °C (CuO600) and 700 °C (CuO700). Bulk CuO served as a comparison. XPS peak fitting of the Cu 2p and O 1s regions used an SVSC-type background and a two-parameter Tougaard function. X-ray diffraction (XRD) confirmed the presence of tenorite and cuprite phases. Crystallite size was estimated using the Rietveld method; values ranged from 20.59 ± 0.06 nm to 31.06 ± 0.06 nm. High-resolution transmission electron microscopy (HR-TEM) produced sizes of 14.98 ± 0.34 nm and 36.10 ± 0.94 nm, highlighting the distinction between diffraction domains and physical particle dimensions. Cu³⁺-like species and oxygen vacancies modulate the nanofibers’ electronic structure, which is relevant to electronic applications.

The presence of Cu³⁺ cations and oxygen vacancies (VO) in the electrospun CuO nanofibers was identified by X-ray photoelectron spectroscopy (XPS) from the Cu 2p₃/₂ and O 1s core-level spectra, respectively. A Cu³⁺-related superlattice was observed using nano-beam electron diffraction (NBD). The chemical composition of the two samples thermally treated at 600 °C (CuO600) and 700 °C (CuO700) was further corroborated using the geometrical topofactor method. For comparison, bulk CuO was also analyzed. XPS peak fitting of the Cu 2p and O 1s regions was performed using an SVSC-type background and two-parameter Tougaard function. X-ray diffraction (XRD) confirmed the presence of the tenorite and cuprite phases and enabled crystallite size estimation (FullProf). The average crystallite size ranged from 20.59 ± 0.06 nm to 31.06 ± 0.06 nm, in good agreement with High Resolution Transmission Electron Microscope, HR-TEM, measurements (14.98 ± 0.34 nm and 36.10 ± 0.94 nm). Therefore, we identify that Cu³⁺ and oxygen vacancies in these nanofibers plays a crucial role in optimizing their future applications in the electronic and catalytic fields.