Improved photodegradation of antibiotics pollutants in wastewaters by advanced oxidation process based on Ni-doped TiO2.

The number of antibiotic compounds in wastewaters has been growing globally due to the covid-19 problem. Using antibiotics to treat the patients would produce larger amounts of these compounds into the environment with negative impacts. Hence, finding out the method for the elimination of toxic organic pollutants as well as antibiotics in water is urgent (In this study, the treatment of antibiotic pollutants including cefalexin (CF) and tetracycline (TC) was investigated by applying the advanced oxidation process based on Ni-doped TiO2 (Ni-TiO2). The characterizations technologies such as XRD, XPS, UV-vis, PL, and PC indicated that Ni doping would improve the photocatalytic performance of TiO2. In the photodegradation experiments, the Ni-TiO2 possessed high photocatalytic degradation efficiencies with 93.6% for CF and 82.5% for TC. Besides, the removal rates of antibiotics after five cycles are higher than 75%, implying excellent stability of Ni-TiO2 photocatalyst. The result from the treatment of wastewater samples revealed that the Ni-TiO2 photocatalytic had good performance for removal of CF and TC at a high level of 88.6 and 80.2%, respectively.

The interaction patterns of pandemic-initiated online teaching: How teachers adapted

This study investigated how teachers adjusted their teaching practices for online teaching during the COVID-19 pandemic in Vietnam. In the study, we collected data from ten teachers within the Department of English at a university in Vietnam through semi-structured interviews via Zoom. During the interviews, the participants shared how they organised their teaching activities and addressed challenges in engaging students. To analyse the data, we focused on the variety of interaction patterns (teacher-student, student-student and student-content) in online teaching. The results showed that most of the teachers deployed activities for two main types of interaction: teacher-student, and student-content, but not for student-student interaction. Teachers also reported that they received limited online teacher training and had to learn by themselves how to engage students remotely. While the university tried to support teachers, no consistent online teaching guidelines were provided. The study suggests that higher education institutions should offer training opportunities and provide teachers with clear guidelines for online teaching.

Genome-wide comparison of coronaviruses derived from veterinary animals: A canine and feline perspective.

Feline- and canine-derived coronaviruses (FCoVs and CCoVs) are widespread among dog and cat populations. This study was to understand the route of disease origin and viral transmission in veterinary animals and in human through comparative pan-genomic analysis of coronavirus sequences, especially retrieved from genomes of FCoV and CCoV. Average nucleotide identity based on complete genomes might clustered CoV strains according to their infected host, with an exception of type II of CCoV (accession number KC175339) that was clustered closely to virulent FCoVs. In contrast, the hierarchical clustering based on gene repertories retrieved from pan-genome analysis might divided the examined coronaviruses into host-independent clusters, and formed obviously the cluster of Alphacoronaviruses into sub-clusters of feline-canine, only feline, feline-canine-human coronavirus. Also, functional analysis of genomic subsets might help to divide FCoV and CCoV pan-genomes into (i) clusters of core genes encoding spike, membrane, nucleocapsid proteins, and ORF1ab polyprotein; (ii) clusters of core-like genes encoding nonstructural proteins; (iii) clusters of accessory genes encoding the ORF1A; and (iv) two singleton genes encoding nonstructural protein and polyprotein 1ab. Seven clusters of gene repertories were categorized as common to the FCoV and/or CCoV genomes including pantropic and high virulent strains, illustrating that distinct core-like genes/accessory genes concerning to their pathogenicity should be exploited in further biotype analysis of new isolate. In conclusion, the phylogenomic analyses have allowed the identification of trends in the viral genomic data, especially in developing a specific control measures against coronavirus disease, such as the selection of good markers for differentiating new species from common and/or pantropic isolates.