"Which LLM should I use?": Evaluating LLMs for tasks performed by Undergraduate Computer Science Students

This study evaluates the effectiveness of various large language models (LLMs) in performing tasks common among undergraduate computer science students. Although a number of research studies in the computing education community have explored the possibility of using LLMs for a variety of tasks, there is a lack of comprehensive research comparing different LLMs and evaluating which LLMs are most effective for different tasks. Our research systematically assesses some of the publicly available LLMs such as Google Bard, ChatGPT(3.5), GitHub Copilot Chat, and Microsoft Copilot across diverse tasks commonly encountered by undergraduate computer science students in India. These tasks include code explanation and documentation, solving class assignments, technical interview preparation, learning new concepts and frameworks, and email writing. Evaluation for these tasks was carried out by pre-final year and final year undergraduate computer science students and provides insights into the models' strengths and limitations. This study aims to guide students as well as instructors in selecting suitable LLMs for any specific task and offers valuable insights on how LLMs can be used constructively by students and instructors.Comment: Under revie

A scientometric analysis of the 100 most cited articles on magnetic resonance guided focused ultrasound

Background Diagnostic ultrasound has long been a part of a physician’s armamentarium, but transcranial focused ultrasound (FUS) is an emerging treatment of neurological disorders. Consequently, the literature in this field is increasing at a rapid pace.ObjectiveThis analysis was aimed to identify the top-cited articles on FUS to discern their origin, spread, current trends highlighting future impact of this novel neurosurgical intervention.MethodsWe searched the Web of Science database on 28th May 2021 and identified the top 100 cited articles. These articles were analyzed with various scientometric parameters like the authors, corresponding authors, country of corresponding author, journal of publication, year of publication. Citation based parameters including total citations, mean citations per article and mean citations, citation count, and the citation per year, citations per year and co-authors per document were studied as well in addition to Hirsch h-index, g-index, m-index, Bradford’s Law, Lotka’s law and Collaboration index.ResultsThe 100 top-cited articles were published between 1998 and 2019 in 45 different journals. The average citations per document and citations per document per year were 97.78 and 12.47, respectively. The most prolific authors were Hynynen K (Medical Biophysics—Toronto), Elias WJ (Neurosurgery—Virginia), Zadicario (InSightec). The Journal of Neurosurgery published the most top-cited articles (n = 11), and most articles originated from the United States, followed by Canada. Among individual institutions, the University of Toronto was the most productive. Conclusion FUS is an emerging treatment of neurological disorders. With its increasing application, the FUS literature is increasing rapidly. Eleven countries contributed to the top 100 cited articles, with the top 2 countries (the United States and Canada) contributing to more than half of these articles

Epidemiology, clinical presentation, and predictors of outcome in nontuberculous mycobacterial central nervous system infection: a systematic review

Abstract Background CNS manifestations represent an emerging facet of NTM infection with significant mortality. Due to protean presentation and low index of suspicion, many cases are often treated erroneously as tubercular meningitis or fungal infections. Objectives Literature on NTM CNS disease is scarce, with most available data on pulmonary disease. This systematic review aimed to evaluate the epidemiology, clinical presentation, diagnostic modalities, and predictors of outcome in CNS NTM infection. Methods The literature search was performed in major electronic databases (PubMed, Google Scholar, and Scopus) using keywords “CNS,” “Central nervous system,” “brain abscess,” “meningitis,” “spinal,” “Nontuberculous mycobacteria,” “NTM”. All cases of CNS NTM infection reported between January 1980 and December 2022 were included. Results A total of 77 studies (112 cases) were included in the final analysis. The mean age of all patients was 38 years, with most patients male (62.5%). Mycobacterium avium complex (MAC) was the most common aetiology, followed by M. fortuitum and M. abscessus (34.8%, 21.4% and 15.2%, respectively). The disseminated disease was found in 33% of cases. HIV (33.9%) and neurosurgical hardware (22.3%) were the common risk factors. Intracranial abscess (36.6%) and leptomeningeal enhancement (28%) were the most prevalent findings in neuroimaging. The overall case fatality rate was 37.5%. On multivariate analysis, male gender (adjusted OR 2.4, 95% CI 1.2–7.9) and HIV (adjusted OR 3.7, 95% CI 1.8–6.1) were the independent predictors of mortality). M. fortuitum infection was significantly associated with increased survival (adjusted OR 0.18, 95% CI (0.08–0.45), p value 0.012). Conclusions Current evidence shows the emerging role of rapid-grower NTM in CNS disease. Male gender and HIV positivity were associated with significant mortality, while M fortuitum carries favourable outcomes

Additional file 1 of Epidemiology, clinical presentation, and predictors of outcome in nontuberculous mycobacterial central nervous system infection: a systematic review

Additional file 1. Supplemental files

Epidemiologic and Clinical Characteristics of Marantic Endocarditis: A Systematic Review and Meta-analysis of 416 Reports

Nonbacterial thrombotic endocarditis (NBTE) is a distinctive condition marked by the presence of aseptic fibrin depositions on cardiac valves due to hypercoagulability and endocardial damage. There is a scarcity of large cohort studies clarifying factors associated with morbidity and mortality of this condition. A systematic literature review was performed utilizing the PubMed, Embase, Cochrane, and Web-of-Science databases to retrieve case reports and series documenting cases of NBTE from inception until September-2022. A descriptive analysis of basic characteristics was carried out, followed by multivariate regression analysis to identify risk factors associated with morbidity and mortality. A total of 416 case reports and series were identified, of which 450 patients were extracted. The female-to-male ratio was around 2:1 with an overall sample median age of 48 (interquartile range [IQR]:34-61). Stroke-like symptoms were the most common presentation and embolic phenomena occurred in 70% of cases, the majority of which were due to stroke. Cancer was associated with higher embolic complications (aOR:6.38, 95% CI = 3.75-10.83, p \u3c 0.01) in comparison to other NBTE etiologies, while age, sex, and vegetation size were not (p \u3e 0.05). All-cause in-hospital mortality was 36%, with cancer etiology being associated with higher mortality: 56% (aOR:3.64, 95% CI = 1.57-8.43, p \u3c 0.01) in comparison to other NBTE etiologies:19%. A significant decrease in NBTE mortality was seen in recent years in comparison to admissions that occurred during the 20th century (aOR:0.07, 95% CI = 0.04-0.15, p \u3c 0.01). While there has been an observed improvement in overall in-hospital mortality rates for patients admitted with NBTE in recent years, it is important to note that cases associated with a cancer etiology are still linked to high morbidity and mortality during hospitalization