Risk Factors Associated with Adverse Fetal Outcomes in Pregnancies Affected by Coronavirus Disease 2019 (COVID-19): A Secondary Analysis of the WAPM study on COVID-19

To evaluate the strength of association between maternal and pregnancy characteristics and the risk of adverse perinatal outcomes in pregnancies with laboratory confirmed COVID-19. Secondary analysis of a multinational, cohort study on all consecutive pregnant women with laboratory-confirmed COVID-19 from February 1, 2020 to April 30, 2020 from 73 centers from 22 different countries. A confirmed case of COVID-19 was defined as a positive result on real-time reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assay of nasal and pharyngeal swab specimens. The primary outcome was a composite adverse fetal outcome, defined as the presence of either abortion (pregnancy loss before 22 weeks of gestations), stillbirth (intrauterine fetal death after 22 weeks of gestation), neonatal death (death of a live-born infant within the first 28 days of life), and perinatal death (either stillbirth or neonatal death). Logistic regression analysis was performed to evaluate parameters independently associated with the primary outcome. Logistic regression was reported as odds ratio (OR) with 95% confidence interval (CI). Mean gestational age at diagnosis was 30.6\ub19.5 weeks, with 8.0% of women being diagnosed in the first, 22.2% in the second and 69.8% in the third trimester of pregnancy. There were six miscarriage (2.3%), six intrauterine device (IUD) (2.3) and 5 (2.0%) neonatal deaths, with an overall rate of perinatal death of 4.2% (11/265), thus resulting into 17 cases experiencing and 226 not experiencing composite adverse fetal outcome. Neither stillbirths nor neonatal deaths had congenital anomalies found at antenatal or postnatal evaluation. Furthermore, none of the cases experiencing IUD had signs of impending demise at arterial or venous Doppler. Neonatal deaths were all considered as prematurity-related adverse events. Of the 250 live-born neonates, one (0.4%) was found positive at RT-PCR pharyngeal swabs performed after delivery. The mother was tested positive during the third trimester of pregnancy. The newborn was asymptomatic and had negative RT-PCR test after 14 days of life. At logistic regression analysis, gestational age at diagnosis (OR: 0.85, 95% CI 0.8-0.9 per week increase; p<0.001), birthweight (OR: 1.17, 95% CI 1.09-1.12.7 per 100 g decrease; p=0.012) and maternal ventilatory support, including either need for oxygen or CPAP (OR: 4.12, 95% CI 2.3-7.9; p=0.001) were independently associated with composite adverse fetal outcome. Early gestational age at infection, maternal ventilatory supports and low birthweight are the main determinants of adverse perinatal outcomes in fetuses with maternal COVID-19 infection. Conversely, the risk of vertical transmission seems negligible

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License

Analyzing Oral Health Conditions in Sex Workers—A Comparative Retrospective Clinical and Radiographic Study

This study highlights the oral health condition of female sex workers (SWs), who face increased risks associated with habits such as excessive alcohol and tobacco use. These behaviors heighten the likelihood of issues like oral cancer and dental diseases, underscoring the need for targeted health interventions. The study examines the oral health disparities between SWs and the general population (GP). A retrospective study analyzed the health records of 40 SWs and 40 controls matched by age and gender who were examined between 1 January 2020 and 30 May 2023. Intra-oral and panoramic radiographs, alongside clinical examination, were used to evaluate missing teeth, periodontal bone support, and caries. T-tests and chi-square tests were used to compare dental health indicators. A comparative analysis of these 80 patients revealed significant disparities: SWs had a higher incidence of missing teeth (5.8 ± 7.3 vs. 0.7 ± 1.4, p p p < 0.001). Additionally, 12% of SWs used removable dentures, unlike the GP. This study underscores significant oral health challenges in SWs, emphasizing the need for targeted healthcare strategies to improve their health conditions

Programming a Software Requirements-Specification Process

this paper, we describe REBUS and aspects of its development and use. Section 2 discusses current approaches to software requirements specification and explains our choice of requirements specification for the prototype process. The next three sections discuss the development of REBUS: Section 3 presents goals for the prototyping experiment and sets out requirements for the process program, Section 4 presents product and process models for REBUS, and Section 5 describes the design and implementation of REBUS in APPL/A. Section 6 then describes our experience in using REBUS. Finally, Section 7 provides a discussion of our experience and the issues raised, and Section 8 summarizes our conclusions and indicates future work