A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion

Users may strive to formulate an adequate textual query for their information need. Search engines assist the users by presenting query suggestions. To preserve the original search intent, suggestions should be context-aware and account for the previous queries issued by the user. Achieving context awareness is challenging due to data sparsity. We present a probabilistic suggestion model that is able to account for sequences of previous queries of arbitrary lengths. Our novel hierarchical recurrent encoder-decoder architecture allows the model to be sensitive to the order of queries in the context while avoiding data sparsity. Additionally, our model can suggest for rare, or long-tail, queries. The produced suggestions are synthetic and are sampled one word at a time, using computationally cheap decoding techniques. This is in contrast to current synthetic suggestion models relying upon machine learning pipelines and hand-engineered feature sets. Results show that it outperforms existing context-aware approaches in a next query prediction setting. In addition to query suggestion, our model is general enough to be used in a variety of other applications.Comment: To appear in Conference of Information Knowledge and Management (CIKM) 201

Views of Diagnostic Radiology Residency Program Directors Regarding Methods to Increase Female and Under-Represented in Medicine Residents: A Cross-sectional Study

RATIONALE AND OBJECTIVES: Diagnostic radiology remains one of the least diverse medical specialties. Recent reports have found that the number of female and under-represented in medicine (URiM) residents have not increased despite efforts to increase representation over the last decade. Given the critical role of residency program directors in selecting diverse applicants, this study was performed to identify which strategies were most preferred to increase the number of female and/or URiM residents by directors of diagnostic radiology residency training programs. MATERIALS AND METHODS: This was an anonymous, cross-sectional study of diagnostic radiology residency program directors that included a survey about program characteristics, demographics, and strategies to increase the number of female and/or URiM residents. RESULTS: The questionnaire was submitted to 181 potential participants with a 19.9% response rate. The most preferred strategies to increase diversity involved directly recruiting medical students, promoting mentorship, increasing the number of diverse teaching faculty, and unconscious bias training. The least supported strategies included deemphasizing exam scores, accepting more international graduates, accepting a minimum number of female and/or URiM applicants, and de-identifying applications. Female and/or URiM program directors indicated a statistically significant preference for medical student recruitment and providing an opportunity to discuss workplace issues for female and/or URiM trainees (p \u3c 0.05). CONCLUSION: Diagnostic radiology residency program directors endorsed a wide variety of strategies to increase diversity. Recruitment of female and/or URiM medical students and promoting the number of diverse faculty members and mentorship of trainees by these faculty appear to be the most preferred strategies to increase female and/or URiM residents. Female and/or URiM program directors placed a greater importance on recruiting diverse applicants and supporting safe discussion of workplace issues faced by female and/or URiM radiology residents

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Views of Diagnostic Radiology Residency Program Directors Regarding Methods to Increase Female and Under-Represented in Medicine Residents: A Cross-sectional Study

RATIONALE AND OBJECTIVES: Diagnostic radiology remains one of the least diverse medical specialties. Recent reports have found that the number of female and under-represented in medicine (URiM) residents have not increased despite efforts to increase representation over the last decade. Given the critical role of residency program directors in selecting diverse applicants, this study was performed to identify which strategies were most preferred to increase the number of female and/or URiM residents by directors of diagnostic radiology residency training programs. MATERIALS AND METHODS: This was an anonymous, cross-sectional study of diagnostic radiology residency program directors that included a survey about program characteristics, demographics, and strategies to increase the number of female and/or URiM residents. RESULTS: The questionnaire was submitted to 181 potential participants with a 19.9% response rate. The most preferred strategies to increase diversity involved directly recruiting medical students, promoting mentorship, increasing the number of diverse teaching faculty, and unconscious bias training. The least supported strategies included deemphasizing exam scores, accepting more international graduates, accepting a minimum number of female and/or URiM applicants, and de-identifying applications. Female and/or URiM program directors indicated a statistically significant preference for medical student recruitment and providing an opportunity to discuss workplace issues for female and/or URiM trainees (p \u3c 0.05). CONCLUSION: Diagnostic radiology residency program directors endorsed a wide variety of strategies to increase diversity. Recruitment of female and/or URiM medical students and promoting the number of diverse faculty members and mentorship of trainees by these faculty appear to be the most preferred strategies to increase female and/or URiM residents. Female and/or URiM program directors placed a greater importance on recruiting diverse applicants and supporting safe discussion of workplace issues faced by female and/or URiM radiology residents