Syntheses and Characterization of BaSiTe and BaSiTe(Te) Structures with Complex Te-Te Interactions.

Multinary tellurides with complex structures and narrow bandgaps are potential candidates for thermoelectric applications. Herein, we report the syntheses of two new ternary polytellurides, BaSiTe and BaSiTe(Te). Both title structures adopt unprecedented structure types.

Effect of the First Laparoscopy in an Adolescent and Young Adult Female Population and Its Association With Chronic Pelvic Pain: A Randomised Controlled Trial.

Background: Chronic pelvic pain (CPP) is a common and debilitating presentation for adolescent and young adult females. Medical management is often utilised as first line therapy with surgical management considered if medical treatment has been unsuccessful. Laparoscopy in this young population remains controversial due to the high recurrence rate of pain, requirement for repeat surgeries and surgical risks.

SrZrCu ( = S and Se): two novel layered quaternary mixed transition metal chalcogenides.

Depending on their bandgaps, mixed metal layered chalcogenides are potential candidates for thermoelectric and photovoltaic applications. Herein, we reported the exploratory synthesis of Sr-Zr-Cu- ( = S/Se) systems, resulting in the identification of two novel quaternary chalcogenides: SrZrCuS and SrZrCuSe. These isoelectronic compounds (SrZrCu) crystallized in two different structural types.

Few-shot learning for inference in medical imaging with subspace feature representations.

Unlike in the field of visual scene recognition, where tremendous advances have taken place due to the availability of very large datasets to train deep neural networks, inference from medical images is often hampered by the fact that only small amounts of data may be available. When working with very small dataset problems, of the order of a few hundred items of data, the power of deep learning may still be exploited by using a pre-trained model as a feature extractor and carrying out classic pattern recognition techniques in this feature space, the so-called few-shot learning problem. However, medical images are highly complex and variable, making it difficult for few-shot learning to fully capture and model these features.

Assessment of the effect of premedication on the success of inferior alveolar nerve block in tobacco chewing patients with symptomatic irreversible pulpitis: a randomized control trial.

Background: This study aimed to evaluate and compare the efficacy of oral premedication with ibuprofen on the anesthetic efficacy of inferior alveolar nerve block (IANB) using 2% lignocaine and 1:100000 epinephrine in tobacco-chewing (TC) and non-tobacco-chewing (NTC) patients with symptomatic irreversible pulpitis (SIP) during nonsurgical endodontic intervention (NEI).

Methods: This multicenter, prospective, double-blind, two-arm parallel-group randomized controlled trial involving 160 patients was conducted for a period of 9 months. The patients were classified into the study (TC patients) and control (NTC patients) groups, which were subdivided into two subgroups 1 hour before the procedure based on oral premedication with tab ibuprofen 600 mg.