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A nanocomposite of titanium dioxide (TiO2) and polyaniline (PANi) was synthesized by in-situ chemical polymerization using aniline (ANi) monomer and TiCl4 as precursors. SEM pictures show that the nanocomposite was created in the form of long PANi chains decorated with TiO2 nanoparticles. FTIR, Raman and UV-Vis spectra reveal that the PANi component undergoes an electronic structure modification as a result of the TiO2 and PANi interaction. The electrical resistor of the nanocomposite is highly sensitive to oxygen and NH3 gas, accounting for the physical adsorption of these gases. A nanocomposite with around 55% TiO2 shows an oxygen sensitivity of 600–700%, 20–25 times higher than that of neat PANi. The n-p contacts between TiO2 nanoparticles and PANi matrix give rise to variety of shallow donors and acceptor levels in the PANi band gap which enhance the physical adsorption of gas molecules.

INTRODUCTION: As population has increased over successive generations, human dependency on electricity has increased to the point where it has become a norm and indispensable, and the idea of living without it has become unthinkable.OBJECTIVES: Machine learning is emerging as a fundamental method for performing tasks autonomously without human intervention. Forecasting electricity consumption is challenging due to the many factors that influence it; embracing modern technology with its heavy focus on machine learning and artificial intelligence is a potential solution.METHODS: This study employs various machine learning algorithms to forecast power usage and determine which method performs best in predicting the dataset based on different variables.RESULTS: Eight models were tested, including Linear Regression, DT Classifier, RF Classifier, KNN, DT Regression, SVM, Logistic Regression, and GNB Classifier. The Decision Tree model had the greatest accuracy of 98.3%.CONCLUSION: The Decision Tree model’s accuracy can facilitate efficient use of electricity, leading to both conservation of electricity and cost savings, and be a guiding light in future planning.

TiO2 nanocrystals are prepared by pyrolysis of titanium tetrachloride (TiCl4) as precursor in HCl aqueous solution at 80°C. The experimental results show that the HCl concentrations in the synthesizing medium and the following aging are the essential factors affecting the phase formation and phase composition of the resulting TiO2 nanocrystals. The TiO2 suspended in the HCl media is predominant anatase in uniform cluster and the TiO2 deposited in the sedimentation is predominant rutile in the rod-like structure. In the anatase phase, TiO2 crystallites have particle structure of 4–11 nm in mean size depending on the HCl concentration and aging time. In the rutile phase, the mean size of rutile TiO2 is 12-13 nm and there is not much change with HCl environment and aging time. The mean size of TiO2 of around 11-12 nm is considered to be the critical point of phase transition from anatase to rutile in HCl media. Consequence, TiO2 nanocrystallites in pure anatase and rutile phase can be extracted and segregated from the colloidal suspension and the deposited parts in the synthesizing media.

Polypyrrole/titanium dioxide nanocomposite (PPy/TiO2) was synthesized by in situ chemical polymerization of pyrrole (Py) monomer in colloidal suspension of TiO2 rutile. TEM and SEM images show that the TiO2 is covered by PPy forming a core-shell structure. The PPy/TiO2 core-shell will create n - p junction and bring in an inversion layer on the PPy-shell surface. The feature is accounted for the modification in electrical properties of the PPy/TiO2 nanocomposite. On the exposure to oxygen the conductivity of the nanocomposite exhibits an increase in 16–18-folds that are accounted for the interaction between oxygen (an electron acceptor) and the inversion layer. The cyclic voltammetry diagrams have shown that at around 15% TiO2 and scan rate 100 mV/s the nanocomposites can reach a specific capacitance about 176 F/g.

African swine fever virus genotype II is endemic in Thailand, typically causing acute disease. We investigated a vaccine-like strain, characterized by 6 multigene family gene deletions, from nonvaccinated herds. We found this strain was associated with chronic disease in pigs.

Polypyrrole/single wall carbon nanotube composites were synthesized by in-situ chemical polymerization using pyrrole (PPy) as precursor and single wall carbon nanotubes (SWNTs) as additive component. Electron microscope images reveal that SWNTs component acts as nucleation sites for PPy growth in the form of spherical and cylindrical core-shell structures. The SWNTs/PPy core-shell results in thin n-p junctions which modify the PPy bandgap and reduce the work function of electrons. As a result of the strong coupling, Raman and IR spectra show that the PPy undergoes a transition from polaron to bipolaron state, i.e., indicating an increase in the conductivity. In the UV-Vis spectra, the 340 nm adsorption band (π*-π transition) exhibits a red shift, while the 460 nm adsorption band (bipolaron transition) experiences a blue shift indicating a change in electronic structure and a relocation of polaron levels in the band gap of PPy. The modification in PPy electronic structure brings in a synergistic effect in sensing feature. Upon exposure to oxygen (an oxidizing agent) and NH3 gas (a reducing agent), the PPy/SWNTs nanocomposite shows an enhancement in sensitivity exceeding ten folds in comparison with those of PPy or SWNTs.

Polypyrrole/titanium dioxide nanocomposite (PPy/TiO 2 ) was synthesized by in situ chemical polymerization of pyrrole (Py) monomer in colloidal suspension of TiO 2 rutile. TEM and SEM images show that the TiO 2 is covered by PPy forming a core-shell structure. The PPy/TiO 2 core-shell will create n - p junction and bring in an inversion layer on the PPy-shell surface. The feature is accounted for the modification in electrical properties of the PPy/TiO 2 nanocomposite. On the exposure to oxygen the conductivity of the nanocomposite exhibits an increase in 16–18-folds that are accounted for the interaction between oxygen (an electron acceptor) and the inversion layer. The cyclic voltammetry diagrams have shown that at around 15% TiO 2 and scan rate 100 mV/s the nanocomposites can reach a specific capacitance about 176 F/g.

TiO 2 nanocrystals are prepared by pyrolysis of titanium tetrachloride (TiCl 4 ) as precursor in HCl aqueous solution at 80°C. The experimental results show that the HCl concentrations in the synthesizing medium and the following aging are the essential factors affecting the phase formation and phase composition of the resulting TiO 2 nanocrystals. The TiO 2 suspended in the HCl media is predominant anatase in uniform cluster and the TiO 2 deposited in the sedimentation is predominant rutile in the rod-like structure. In the anatase phase, TiO 2 crystallites have particle structure of 4–11 nm in mean size depending on the HCl concentration and aging time. In the rutile phase, the mean size of rutile TiO 2 is 12-13 nm and there is not much change with HCl environment and aging time. The mean size of TiO 2 of around 11-12 nm is considered to be the critical point of phase transition from anatase to rutile in HCl media. Consequence, TiO 2 nanocrystallites in pure anatase and rutile phase can be extracted and segregated from the colloidal suspension and the deposited parts in the synthesizing media.

Cloud computing has emerged as the actual trend in business information technology service models, since it provides processing that is both cost-effective and scalable. Enterprise networks are adopting software-defined networking (SDN) for network management flexibility and lower operating costs. Information technology (IT) services for enterprises tend to use both technologies. Yet, the effects of cloud computing and software defined networking on business network security are unclear. This study addresses this crucial issue. In a business network that uses both technologies, we start by looking at security, namely distributed denial-of-service (DDoS) attack defensive methods. SDN technology may help organizations protect against DDoS assaults provided the defensive architecture is structured appropriately. To mitigate DDoS attacks, we offer a highly configurable network monitoring and flexible control framework. We present a dataset shift-resistant graphic model-based attack detection system for the new architecture. The simulation findings demonstrate that our architecture can efficiently meet the security concerns of the new network paradigm and that our attack detection system can report numerous threats using real-world network data.

Highly virulent African swine fever virus (ASFV) genotype II strains have been responsible for the global epidemic in domestic pigs and are typically characterized by a hemadsorption (HAD)-positive phenotype mediated by the CD2v protein encoded by the EP402R gene. Here, we report the detection and genetic characterization of three non-HAD genotype II ASFV isolates (VNUA/ASFV/VP2023-isolate1, VNUA/ASFV/TB2024-isolate2, and VNUA/ASFV/HY2024-isolate3) recovered from whole-blood samples collected from pigs exhibiting prolonged clinical signs in northern Vietnam. Whole-genome analysis revealed nonsense mutations in the EP402R gene (G57A in isolates VNUA/ASFV/TB2024-isolate2 and VNUA/ASFV/HY2024-isolate3, and G132A in VNUA/ASFV/VP2023-isolate1), resulting in premature stop codons and a HAD-negative phenotype. Furthermore, additional genetic alterations, including deletions and frameshift mutations, were identified within multigene families (MGF110, MGF360, and MGF505), which are known to play critical roles in virulence, host range, and immune evasion. Notably, VNUA/ASFV/VP2023-isolate1 harbored a partial deletion of the I177L gene along with the insertion of an mCherry marker gene, suggesting possible evolution of the modified live ASFV-G-ΔI177L vaccine strain under field conditions. Collectively, these findings underscore the ongoing evolution and genomic plasticity of ASFV strains circulating in Vietnam.