Self-development moderates the impact of digital literacy and talent on human error

Effective public services are important for increasing community satisfaction and organizational credibility. This study aims to explore the influence of digital literacy, underutilized talent, and human error on the effectiveness of public services, with self-development as a moderating variable. This study was conducted with employees of the Trade Office of South Sumatra Province. The research method used was quantitative data analysis, which was performed using partial least squares structural equation modeling (PLS-SEM). The results of this study show that digital literacy and self-development play an important role in reducing human error and increasing the effectiveness of public services. These findings have practical implications for human resource management in the public sector, focusing on improving digital literacy and employee self-development.

Development of antioxidative edible film from red dragon fruit peel extract with the addition of CMC and soy protein isolate

The red dragon fruit peels (RDFP) have a high content of pectin and total phenolic compounds. This research studied the development of RDFP be an antioxidative edible film. The RDFP was extracted by microwave to obtain high pectin and polyphenol content, and then the red dragon fruit peel extract (RDFPE) was used as a based material. The RDFPE was added with 5% (w/v) of carboxymethyl cellulose (CMC) and 10% (w/v) of soy protein isolate (SPI) to increase their tensile strength. The result showed that RDFPE potential to develop as an antioxidative edible film. There are different effects of CMC and SPI. The addition of CMC had a positive effect on total polyphenol and antioxidant properties but SPI had a negative effect. Against the peroxide number of peanut oils, all RDFPE films can inhibit. The effect of CMC and SPI on physical and mechanical properties were increasing thickness, and tensile strength decreasing transparency, solubility, also elongation. The FTIR showed a difference in macromolecule interaction between RDFPE with CMC and SPI. The interaction between RDFPE with CMC occurred with pectin while SPI interacted both with pectin and polyphenol. Thus, macromolecule interaction affected on physical, mechanical, and antioxidative properties of RDFPE edible films, and revealed that CMC was more suitable to add to RDFPE edible film

Susceptibility of Aedes aegypti to malathion and permethrin insecticides in Enrekang Regency: an experimental study

Insecticide resistance in Aedes mosquitoes can undermine arbovirus control efforts. Malathion and permethrin insecticides belong to the group of insecticides used for control and if used continuously will cause immunity of target mosquitoes. This study aims to assess the level of susceptibility of Aedes aegypti to insecticides commonly used in public health in the Enrekang Regency. The type of research used was experimental research. Female Aedes aegypti were collected from rearing results with a total sample size of 240 mosquitoes which were divided into 120 mosquitoes each in 4 treatments and 2 controls on malathion 0.8% and permethrin 0.25% insecticides. The results obtained from the research on insecticide susceptibility test results using malathion 0.8% in 60 minutes of exposure averaged 55% dead and exposure for 24 hours averaged 90% mosquito death, while permethrin 0.25% insecticide in 60 minutes of exposure averaged 90% dead mosquitoes and 24 hours exposure averaged 100% mosquito death, while for the control all live. The conclusion of the study was the susceptibility test of Aedes aegypti mosquitoes to malathion 0.8% insecticide in the category of moderate resistance while permethrin 0.25% insecticide in the category of susceptible

Bio-adsorbents from banana peel and corncob in reducing Naphthol Yellow S dye

Naphthol Yellow S, a textile dye waste, poses environmental pollution due to its degradable chromophore and auxochrome groups, necessitating processing. The aim was to analyze the adsorption kinetics of banana peel and corncob bioadsorbents to reduce the dye Naphthol Yellow S in wastewater. This research was a true experiment and the object used was an artificial Naphthol Yellow S solution with an initial concentration of 80 ppm applied to the adsorbent mass of 0.1, 0.2, and 0.3 grams and contact time of 3, 6, 9, and 12 hours. Dye levels were measured before and after treatment using a spectrophotometer. The best adsorption test occurred on the banana peel bioadsorbent with an adsorbent mass of 0.3 grams and a stirring time of 3 hours. The adsorption study of banana peel and corncob bioadsorbents showed that the entire adsorption process of Naphthol Yellow S dye followed the Langmuir isothermal adsorption model with R2 coefficients of 0.9953 and 0.999, respectively, and maximum adsorption capacities of 4.6516 and 5.2825 mg/g, respectively. The activated carbon adsorption kinetics followed the second order, with R2 values of 0.9737 and 0.9152, respectively. This study concluded that the bioadsorbent of banana peels and corncob was able to reduce the dye Naphthol Yellow S

Big data assisted eco-learning environment framework for inclusive education

Big data is profoundly changing education under inclusive education. Classroom interaction, a vital component in education, is gaining increased emphasis, driving research into learning environments that better meet interaction needs. Therefore, exploring the construction of a big data-assisted eco-learning environment for classroom interaction is a prospective study. This research focuses on constructing a big data-assisted ecological learning environment based on affordance theory. It examines the relationship among learning environment, classroom interaction, and learning outcomes, using SmartPLS for validation. Through controlled experiments, surveys, teacher-student interaction analysis, and interviews, the study explores learner behavior data. Findings show the big data-assisted eco-learning environment enhances English classroom interaction, thereby further improving learning outcomes, across dimensions like learning space, resource accessibility, technical support, and emotional support. Integrating big data with ecological theory offers insights into educational digitization, supporting flexible classroom interaction, and promoting education equity, inclusivity, and sustainable education through data-driven resource management

Binary relaxor piezoceramic Pb (Mg1/3Nb2/3) O3-PbTiO3 for energy harvesting

Perovskite relaxor-PT piezoelectrics are suitable materials for energy harvesting. Relaxor-PT crystals have electromechanical properties that can replace lead zirconate titanate (PZT). However, the growth of these relaxor-PT crystals is tedious and expensive. The important parameter for energy harvesting is the transduction rate (d×g) where d represents the piezoelectric coefficient and g represents the piezoelectric voltage constant. There is always a challenge to obtain a high (d×g) value. Lead magnesium niobate Pb (Mg1/3Nb2/3) O3-lead titanate PbTiO3 (PMN-PT) is a binary relaxor-PT ceramic and the morphotropic phase boundary (MPB) of (1-x) PMN-xPT ceramics occur around x=0.29-0.40 which is not exactly defined. So here we have synthesized 0.71PMN-0.29PT, 0.68PMN-0.32PT, and 0.65PMN-0.35PT compositions by two-step sintering solid-state method. The x-ray diffraction (XRD) patterns of the PMN-PT ceramics exhibit a characteristic perovskite structure and also show that PMN-PT ceramics fall within the region of MPB. Out of the three compositions, the 0.71PMN-0.29PT ceramics show a higher transduction rate (d×g). So, this piezoelectric ceramic has the potential to replace costly piezoelectric single crystals in the creation of affordable, high-frequency energy harvesting devices

Therapeutic potential of alpha-linolenic acid from Sacha Inchi oil in cervical cancer: an in vitro study on HeLa cells

This study investigated the potential of alpha-linolenic acid (ALA) from Sacha Inchi oil as a therapeutic agent for cervical cancer through an in vitro study on HeLa cells. Cervical cancer is one of the most common types of cancer in women, which is often caused by human papillomavirus (HPV) infection. Although chemotherapy therapy is one of the main methods in cancer treatment, this approach often causes side effects and drug resistance. ALA, which is one of the main components of Sacha Inchi oil, is known to have antioxidant and anti-cancer activities. In this study, Sacha Inchi oil was analyzed using liquid chromatography-high resolution mass spectrometry (LC-HRMS) for identification of its active components. Cytotoxic assays were performed using the MTT method on HeLa cells, which showed that ALA significantly inhibited cancer cell viability at low concentrations, with low IC50 values compared to the positive control compound cisplatin. These results suggest that ALA has potential as an effective anti-cancer agent against cervical cancer cells. This study concludes that ALA from Sacha Inchi oil can be a strong candidate in the development of safer and more effective cervical cancer therapy

Advanced classification techniques for weed and crop species recognition using machine learning algorithms

This study proposes an intelligent machine learning framework integrating image analysis and environmental data for precision weed management. The framework leverages efficient feature extraction techniques combined with supervised machine learning algorithms to accurately classify multiple species. Features such as color, texture, and shape characteristics are utilized for model training, enabling high-precision classification while maintaining low computational complexity. The experimental results demonstrate the robustness of the approach, achieving an average classification accuracy of 94.3% across ten weed and crop species in diverse agricultural environments. The system also achieved a 90% reduction in herbicide application compared to traditional methods, showcasing its potential for sustainable farming. Real-time testing confirmed the framework’s efficiency, processing images in under 1.5 seconds per frame, making it suitable for deployment in drones and autonomous farming equipment. These results underscore the practical and scalable nature of the proposed system in automating weed management and advancing sustainable agricultural practices

Evaluation of 6 MV photon beam characteristics on Varian Clinac iX: a Monte Carlo study

This work aims to study the characteristics of photon beams through phase space file (PSF) analysis using Monte Carlo (MC) simulation. 6 MV photon beams from the Varian Clinac iX were simulated using PRIMO software. The beam parameters were validated by evaluating the percentage depth dose and dose profile. A full PSF was scored at the downstream end of the linear accelerator (LINAC) upper and lower parts and analyzed to determine the beam fluence profile, energy fluence profile, angular distribution, and spectral distribution. The results show that within PSF 1, the photon beam has an average scattering angle of 10.74° and a mean energy of 1.18 MeV. In PSF 2, the average scattering angle decreases to 2.63° while the mean energy increases to 1.50 MeV. The field size variation at 20×20, 30×30, and 40×40 cm2 affects both the angular and spectral distribution of the photon beam. The photon beam in PSF 2 exhibits an average scattering angle of 4.56, 6.31, and 6.66°, with corresponding mean energy values of 1.40, 1.32, and 1.30 MeV, respectively. These findings show that as the field size increases, the photon beam scatters at a larger angle while the energy decreases

Application of turmeric as heat stress therapy for broiler chickens

This study aims to analyze the productivity of broilers kept in heat-stress conditions by drinking water mixed with turmeric (Curcuma domestica). This research was conducted in the Politeknik Negeri Lampung, Indonesia cage in September 2023. This study uses the experimental method by comparing the turmeric treatment group with as much as 500 mg/kg of chicken body weight which will be compared with the group without treatment (control). The results of the research on the provision of drinking water given turmeric (Curcuma domestica) to broilers kept under heat stress, based on the results of the study it can be concluded that the provision of drinking water mixed with turmeric (Curcuma domestica) as much as 500 mg/kg body weight of chickens on the productivity of broilers reared under heat stress conditions able to increases consumption and weight gain in chickens and can reduce feed conversion in broiler chickens experiencing heat stress