Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost

State-of-the-art supervised NLP models achieve high accuracy but are also susceptible to failures on inputs from low-data regimes, such as domains that are not represented in training data. As an approximation to collecting ground-truth labels for the specific domain, we study the use of large language models (LLMs) for annotating inputs and improving the generalization of NLP models. Specifically, given a budget for LLM annotations, we present an algorithm for sampling the most informative inputs to annotate and retrain the NLP model. We find that popular active learning strategies such as uncertainty-based sampling do not work well. Instead, we propose a sampling strategy based on the difference in prediction scores between the base model and the finetuned NLP model, utilizing the fact that most NLP models are finetuned from a base model. Experiments with classification (semantic similarity) and ranking (semantic search) tasks show that our sampling strategy leads to significant gains in accuracy for both the training and target domains

DESIGN AND PERFORMANCE VERIFICATION OF NEWLY DEVELOPED DISPOSABLE STATIC DIFFUSION CELL FOR DRUG DIFFUSION/PERMEABILITY STUDIES

Objectives: The present study describes a disposable static diffusion cell for in vitro diffusion studies to achieve better results as compared to well existing Franz diffusion cell (FDC) in terms of the absence of bubbles, variable receptor compartment, ease of handling, and faster results.Materials and Methods: The cell consists of a cup-shaped donor compartment made of semi permeable that could be either cellophane membrane or, animal skin fitted to a rigid frame, which is supported on a plastic plate that contains a hole for the sample withdrawal. The receptor compartment is a separate unit, and it could be any container up to 500ml volume capacity. The most preferred receptor compartment is glass beaker. In the present study, goatskin was used as semi-permeable membrane and verification of its performance was carried out through diffusion studies using gel formulations of one each of the four-selected biopharmaceutical classification system (BCS) class drugs. Metronidazole, diclofenac sodium, fluconazole, and sulfadiazine were used as model drugs for BCS Class I, II, III, and IV, respectively.Results: The newly developed diffusion cell (NDDC) was found to provide faster and more reproducible results as compared to FDC. At the time interval of 24 h, the cell was found to exhibit a higher diffusion of metronidazole, diclofenac sodium, fluconazole, and sulfadiazine by 0.65, 0.65, 0.32, and 0.81 folds, respectively. The faster release obtained with NDDC was attributed to a larger surface area of skin as compared to that in FDC.Conclusion: It was concluded that better reproducibility of results could be achieved with NDDC

Phloroglucinol compounds of therapeutic interest: global patent and technology status

Background: Phloroglucinol compounds, both synthetic as well as natural, have shown a vast array of biological activities. There are a wide range of applications of phloroglucinol compounds in pharmaceuticals, cosmetics, textiles, paints and dyeing industries. Although many of the phloroglucinols have shown promising results in various biological assays, very few have reached clinics. Objective: To compile the patented information on various therapeutically active phloroglucinol molecules, so that technologies used in isolation and activity assessment of these compounds could be unearthed and the compiled information be utilized for further development of these molecules. Methods: The European Patent Office database (official website: espacenet.com) was searched with a keyword "phloroglucinol". In addition, patents were searched using names of compounds listed in our previous review. Conclusions: This class holds potential for development of molecules in various therapeutic areas. There exist a number of patents on preparations that have phloroglucinol compounds as active ingredient(s). Many such preparations have been tested in vitro and/or in vivo for their efficacy and proven to be active and non-toxic. Commercialization of existing technology on phloroglucinol molecules can yield fruitful results

Residency Evaluation and Adherence Design Study III: Ophthalmology residency training in India: Then and now–Improving with time?

Purpose: To gauge the differences in ophthalmology residency training, academic, clinical and surgical, in the last three decades of the 20th century and the first decade of the 21st century. Methods: A survey was conducted by the Academic and Research Committee of the All India Ophthalmological Society, in 2014–2016, using a prevalidated questionnaire, which was circulated to ophthalmologists to gauge the practicality of the teaching protocols of clinical and surgical skills during postgraduate residency program. Results: Of the 1005 respondents, 320 ophthalmologists who completed residency between 1967 and 2002 (20th century trained) and 531 who completed a residency in 2003–2012 (21st century trained) fulfilled the inclusion criteria. The average age was 49.2 years (standard deviation [SD] 4) and 32.6 years (SD 4), respectively. Twenty-first century trained ophthalmologists rated their training significantly better than the 20th century trained ophthalmologists for slit lamp examination (P = 0.001), indirect ophthalmoscopy, gonioscopy, automated perimetry, optical coherence tomography, and fundus photography (all having P < 0.001), while the 20th century trained rated their teaching of refraction, synoptophore, diplopia charting better (all P < 0.001). The range of grading was 0–10 in all categories. The median number of surgeries performed independently by 20th century and 21st century trained (during their training period) were: intracapsular cataract extraction (ICCE) 10, 0; extracapsular cataract extraction (ECCE) 43, 18; small incision cataract surgery (SICS) 5, 55; phacoemulsification (Phaco) 0, 1; pterygium excision 20, 15; dacryocystectomy 11, 4; dacryocystorhinostomy 11, 2; chalazion 35, 30; trabeculectomies 5, 0; strabismus correction 0, 0; vitrectomy 0, 0; keratoplasty 0, 0; eyelid surgery 6, 2; and ocular emergencies 18, 20. Conclusion: Teaching of many clinical skills had improved over decades. Cataract surgery training has shifted from ICCE and ECCE to SICS and Phaco, but other surgeries were still taught sparingly. There was an enormous variation across the country in residency training which needs immediate attention

Derivation and Validation of Risk Prediction Model for 30-Day Readmissions Following Transcatheter Mitral Valve Repair.

Transcatheter mitral valve repair (TMVr) has shown to reduce heart failure (HF) rehospitalization and all cause mortality. However, the 30-day all-cause readmission remains high (∼15%) after TMVr. Therefore, we sought to develop and validate a 30-day readmission risk calculator for TMVr. Nationwide Readmission Database from January 2014 to December 2017 was utilized. A linear calculator was developed to determine the probability for 30-day readmission. Internal calibration with bootstrapped calculations was conducted to assess model accuracy. The root mean square error and mean absolute error were calculated to determine model performance. Of 8339 patients who underwent TMVr, 1246 (14.2%) were readmitted within 30 days. The final 30-day readmission risk prediction tool included the following variables: Heart failure, Atrial Fibrillation, Anemia, length of stay ≥4 days, Acute kidney injury (AKI), and Non-Home discharge, Non-Elective admission and Bleeding/Transfusion. The c-statistic of the prediction model was 0.63. The validation c-statistic for readmission risk tool was 0.628. On internal calibration, our tool was extremely accurate in predicting readmissions up to 20%. A simple and easy to use risk prediction tool identifies TMVr patients at increased risk of 30-day readmissions. The tool can guide in optimal discharge planning and reduce resource utilization