Aims: This study aims to evaluate and compare the bond strength and load deflection rate (LDR) of three different fixed retainer wires.

Materials and Methods: The wires were divided into three Groups: A - three-stranded twisted ligature wire, B - Bond-A-Braid (Reliance Orthodontics), and C - three-stranded twisted lingual retainer wire (3M Unitek). Twenty models were prepared for each group with a passive 15 mm long lingual retainer wire bonded to two lower incisors. An occlusogingival force was applied to the wire until it debonded. For LDR, three-point bending test was done at 0.5 mm deflection. These forces were measured using a Universal Instron Testing Machine.

Statistical Analysis: Mean bond strength/LDR and pairwise comparisons were analyzed with one-way ANOVA and Tukey's honest significant differencepost hoctest, respectively.

Results: Group C exhibited the highest mean bond strength and LDR of 101.17N and 1.84N, respectively. The intergroup comparisons were all statistically significant.

MATERIALS AND METHODS: A total of 60 deciduous teeth subjected to extraction were employed in this in vitro research. These 60 specimens were randomly divided into two groups: Group I: Stainless steel crowns and Group II: Pedo Jacket crowns. Both crowns were subjected to cementation using self-cure resin-modified glass ionomer (RMGI) cement as well as by means of self-adhesive universal resin cement (RelyX luting cement). The specimens were subjected to storage in distilled water at 37°C for 24 h and were subjected to 500 thermal cycles between 5°C and 55°C using a dwell span of 30 s. Individual surfaces were assessed for the amount of dye infiltration at the boundaries by the side of the tooth-cement border beneath a stereomicroscope under 50× magnifying power. At the mesial and distal surfaces, the amount of microleakage was measured in micrometers (μm), and the mean value was computed for each sample.

RESULTS: Stainless steel crowns subject to cementation with RelyX luting cement exhibited the lowest microleakage (0.88 ± 0.78) versus self-cure RMGI cement (0.94 ± 0.78). There was no statistically significant difference found between the groups. Pedo Jacket crowns subject to cementation with RelyX luting cement exhibited the lowest microleakage (0.96. ± 0.32) while self-cure RMGI cement (1.83 ± 0.16) depicted the maximum microleakage. There was an extremely statistically noteworthy dissimilarity noted among the groups.

MATERIALS AND METHODS: Seventy-five premolars devoid of dental caries that were subjected to extraction for orthodontic purposes were employed in this research. The surface of enamel was etched with 37% phosphoric acid and subjected to primer application. Individual brackets were placed on the midregion of the buccal surfaces of the premolars with Transbond™ XT adhesive. Postbracket bonding, the dry premolar tooth samples were set aside cautiously. The samples were then allocated to three groups: Group I: Duraphat Varnish, Group II: Clinpro XT Varnish, and Group III: Profluorid Varnish. Every sample was independently subjected to immersion in demineralizing solution for a period of 96 h at 37°C in an incubator. Areas of demineralization were evaluated by documenting the microhardness along the severed surface using a microhardness tester equipped with a Vickers diamond.

RESULTS: The highest surface microhardness was noted with Profluorid Varnish group at 328.48 ± 1.12 in pursuit by Clinpro XT Varnish group at 322.08 ± 0.04 as well as Duraphat Varnish group at 307.42 ± 0.28 with a statistically noteworthy dissimilarity amid the groups.

AIM AND OBJECTIVES: This study aimed to assess healthcare university students' knowledge, attitude, and practice regarding ChatGPT for academic purposes. It explored chatbot usage frequency, purposes, satisfaction levels, and associations between age, gender, and ChatGPT variables.

METHODOLOGY: Four hundred forty-three undergraduate students at a Malaysian tertiary healthcare institute participated, revealing varying awareness levels of ChatGPT's academic utility. Despite concerns about accuracy, ethics, and dependency, participants generally held positive attitudes toward ChatGPT in academics.

RESULTS: Multiple logistic regression highlighted associations between demographics, knowledge, attitude, and academic ChatGPT use. MBBS students were significantly more likely to use ChatGPT for academics than BDS and FIS students. Final-year students exhibited the highest likelihood of academic ChatGPT use. Higher knowledge and positive attitudes correlated with increased academic usage. Most users (45.8%) employed ChatGPT to aid specific assignment sections while completing most work independently. Some did not use it (41.1%), while others heavily relied on it (9.3%). Users also employed it for various purposes, from generating questions to understanding concepts. Thematic analysis of responses showed students' concerns about data accuracy, plagiarism, ethical issues, and dependency on ChatGPT for academic tasks.