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In recent years, multimodal approaches to English Teaching (ET) take into account well not the distinct capabilities of text, speech, and visuals and how these modalities may be combined to provide engaging and instructional material for students. The lack of language, articulation issues, lack of enthusiasm, and usage or interference of the mother language are cited as the most significant difficulties students face while learning English. The Classroom Atmosphere (CA) plays a crucial role in facilitating the education system by fostering a sense of trust and fellowship between the instructor and students, increasing students' performance, and reducing disruptive behaviours. Human-Computer Interaction (HCI) aims to enhance the efficiency and satisfaction of users in their interactions with computerized systems integration. This is accomplished by improving the HCI interface given knowledge about the tasks and organizational contexts in which HCI is performed. This paper proposes an HCI-assisted Multimodal English Teaching (HCI-MMET) to promote the classroom atmosphere. Classrooms with a great atmosphere are more conducive to learning. This method helps with high expectations, promoting student participation, making the classroom physically attractive, including parents, and ability to motivate and performance feedback are all ways to establish a healthy classroom atmosphere. The multimodal approach should be used in the classroom for instructing students in a foreign language. Problem-solving and creative thinking are at the basis of HCI, where learners gain the ability to analyze a system, pinpoint problem areas, and provide solutions. Hence the proposed method HCI-MMET gives the outcomes of Classroom interaction and efficiency-83%, Student performance based on a positive atmosphere-75%, Teacher's interest in classroom settings-81%, Student motivation in the multimodal classroom-79%, Development of peer support-86% comparing to the existing methods. [ABSTRACT FROM AUTHOR]

A tetraphenylporphyrin (TPP) doped PFBT polymer quantum dots (TP-Pdots) were synthesized via the reprecipitation method for photoelectrochemical (PEC) aptasensor detection of tetracycline (TC). The TP-Pdots exhibit a superior cathode photocurrent signal. TP-Pdots increase the separation of photo-generated charges, and improve photocurrent conversion efficiency, resulting in enhanced photocurrent response. The aptamer was used as a recognition element and TP-Pdots as a photoactive material to prepare a PEC aptasensor for sensitivity detection of TC. The PEC aptasensor was constructed by immobilizing TP-Pdots on ITO electrode and combining it with aptamer by EDC coupling. After the TC reacts specifically with the aptamer, causing the aptamer to fall off from the TP-Pdots /ITO electrodes surface and the photocurrent intensity restored. This PEC aptamer sensor possesses a wide linear range from 1.0 nmol.l−1 to 1.0 × 10 4 nmol.l−1 with the detection limit of 0.26 nmol.l−1 . Meanwhile, the PEC aptasensor was successfully used for the detection of tetracycline in honey. [ABSTRACT FROM AUTHOR]

Kanamycin (Kana) is widely used as a veterinary medicine and its abuse causes a serious threat to human health, raising the urgent demand for detection of residual Kana in animal-derived food with high specificity and sensitivity. Here, we developed a photoelectrochemical (PEC) biosensor for rapid quantification of Kana, with lead sulfide quantum dots/titanium dioxide nanoparticles (PbS QDs/TiO 2 NPs) as a photosensitive composite, a Kana-specific DNA aptamer as a functional sensor, and ruthenium(III) hexaammine (Ru(NH 3 ) 6 3+ ) as a signal booster. To prepare the PEC aptasensor, TiO 2 NPs, PbS QDs, and polyethyleneimine (PEI) were respectively used to modify the indium tin oxide electrode, and then the amine-terminated aptamer probe was connected to the PEI via glutaraldehyde. Finally, Ru(NH 3 ) 6 3+ was attached on the surface of the aptamer to increase the photocurrent intensity. When Kana binds competitively with Ru(NH 3 ) 6 3+ to the aptamer immobilized on the surface of the aptasensor, Ru(NH 3 ) 6 3+ will be released from the aptamer, resulting in a decrease of the photocurrent signal. This PEC aptasensor exhibits a good linear relationship between the photocurrent shift and the logarithm of Kana concentration within the range of 1.0-300.0 nmol L -1 , and the detection limit is 0.161 nmol L -1 . Importantly, the PEC aptasensor presented good detection selectivity owing to specific interaction with Kana and was successfully implemented to quantify Kana in honey and milk, suggesting that the PEC aptasensor has the potential of rapid detection of residual Kana in animal-derived foods.