Changing trends in epidemiology and outcome in peripartum hysterectomy over a period of ten years in a tertiary care teaching institution

Background: Peripartum hysterectomy is a lifesaving procedure performed for severe obstetric complications such as major obstetric haemorrhage, abnormally invaded placenta, uterine rupture or sepsis. Objectives of the study was to  review the epidemiology of peripartum hysterectomies performed over a period of ten years from January 2012 to December2021 and to determine the trends in peripartum hysterectomies by comparing two different time periods. Methods: In this retrospective descriptive study, the case records of peripartum hysterectomies performed at Government Medical College, Kozhikode between January 2012 and December 2021 were analysed. Results for 2012-2014 and 2019-2021 were compared to identify the changing trends. Results: Total number of deliveries for 10 years was 147272, of which 53975 (36.64%) women underwent caesarean section. Total number of peripartum hysterectomies was 312 with incidence of 2.12 per 1000 deliveries. Comparing the data of 2012-14 with 2019-21, incidence was 2.11 and 2.45 per 1000 deliveries respectively. Placenta previa accreta was the commonest indication for peripartum hysterectomies in both periods. Classical caesarean section followed by hysterectomy in 53 cases (61.62%) during 2019-21 whereas only 6 cases (6.06%) during 2012-14.   Number of units of blood and blood products received was less during 2019-21 period, 56(65.11%) received only1-3 units whereas 48 (48.48%) received more than 3units during the period 2012-14. Conclusions: Placenta previa accreta was the most common indication for hysterectomy during 2019-21. Classical caesarean section followed by hysterectomy in placenta previa accreta can reduce haemorrhage and need for transfusions

A study on oxygen independent fitness (anaerobic capacity) in pre-collegiate boys of Vijayapur, North Karnataka, India

Background: The anaerobic capacity is a useful concept, its application during exercise testing should considerably increase the information gained regarding cardiovascular function in health and disease. The objective was to evaluate oxygen independent fitness (anaerobic capacity) in pre-collegiate boys (age group of 16-18 years) of Vijayapur, North Karnataka, India.Methods: Eighty seven young adolescent healthy pre-collegiate boys volunteered for this study. The following parameters were recorded: Physical anthropometric parameters: body surface area, body mass index, body fat percentage, Physiological parameters: Blood pressure, physical fitness index test and anaerobic fitness step test. Correlation analysis and Z tests were used to analyze the obtained data.Results: Physical anthropometric parameters of the subjects were found within normal range. Statistically significant exercise induced rise in blood pressure were observed in physical fitness step test. Anaerobic capacity was correlated with body surface area, body mass index, body fat percentage and pre and post exercise blood pressure. Physical fitness index was not correlated with anaerobic capacity.  Conclusions:The physical fitness index was in good category, normal physiological response to exercise but physical fitness index not correlated with anaerobic capacity. Anaerobic capacity was found within normal range in pre-collegiate boys of age 16-18 years in study area. Ideal body mass index may not be possible in this age group.

Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering

Sequence-to-sequence models have been used to transform erroneous programs into correct ones when trained with a large enough dataset. Some recent studies also demonstrated strong empirical evidence that code review could improve the program repair further. Large language models, trained with Natural Language (NL) and Programming Language (PL), can contain inherent knowledge of both. In this study, we investigate if this inherent knowledge of PL and NL can be utilized to improve automated program repair. We applied PLBART and CodeT5, two state-of-the-art language models that are pre-trained with both PL and NL, on two such natural language-based program repair datasets and found that the pre-trained language models fine-tuned with datasets containing both code review and subsequent code changes notably outperformed each of the previous models. With the advent of code generative models like Codex and GPT-3.5-Turbo, we also performed zero-shot and few-shots learning-based prompt engineering to assess their performance on these datasets. However, the practical application of using LLMs in the context of automated program repair is still a long way off based on our manual analysis of the generated repaired codes by the learning models.Comment: 12 pages, 2 figures, 4 table

Occurrence of Equine West Nile VirusAmongHorses in Qatar :A Preliminary Investigation

West Nile Virus (WNV) is an emerging threat to public health authorities around the globe. WNV is maintained in ecosystems primarily in enzootic cycles involving mosquito vector and avian hosts, with epizootic spread to mammals including horses and humans. Outbreaks of WNV disease in mammals have been associated with significant losses. The factors that play roles in the evaluation of these outbreaks are not fully known and the disease has not been reported in Qatar. We carried out a study to determine the prevalence of exposure to WNV in the State of Qatar and identify the factors that are likely to associate with seroconverion

An Incompatibility between a Mitochondrial tRNA and Its Nuclear-Encoded tRNA Synthetase Compromises Development and Fitness in \u3ci\u3eDrosophila\u3c/i\u3e

Mitochondrial transcription, translation, and respiration require interactions between genes encoded in two distinct genomes, generating the potential for mutations in nuclear and mitochondrial genomes to interact epistatically and cause incompatibilities that decrease fitness. Mitochondrial-nuclear epistasis for fitness has been documented within and between populations and species of diverse taxa, but rarely has the genetic or mechanistic basis of these mitochondrial–nuclear interactions been elucidated, limiting our understanding of which genes harbor variants causing mitochondrial–nuclear disruption and of the pathways and processes that are impacted by mitochondrial–nuclear coevolution. Here we identify an amino acid polymorphism in the Drosophila melanogaster nuclear-encoded mitochondrial tyrosyl–tRNA synthetase that interacts epistatically with a polymorphism in the D. simulans mitochondrial-encoded tRNATyr to significantly delay development, compromise bristle formation, and decrease fecundity. The incompatible genotype specifically decreases the activities of oxidative phosphorylation complexes I, III, and IV that contain mitochondrial-encoded subunits. Combined with the identity of the interacting alleles, this pattern indicates that mitochondrial protein translation is affected by this interaction. Our findings suggest that interactions between mitochondrial tRNAs and their nuclear-encoded tRNA synthetases may be targets of compensatory molecular evolution. Human mitochondrial diseases are often genetically complex and variable in penetrance, and the mitochondrial–nuclear interaction we document provides a plausible mechanism to explain this complexity

An Empirical Study of Using Large Language Models for Unit Test Generation

A code generation model generates code by taking a prompt from a code comment, existing code, or a combination of both. Although code generation models (e.g. GitHub Copilot) are increasingly being adopted in practice, it is unclear whether they can successfully be used for unit test generation without fine-tuning. We investigated how well three generative models (Codex, GPT-3.5-Turbo, and StarCoder) can generate test cases to fill this gap. We used two benchmarks (HumanEval and Evosuite SF110) to investigate the context generation's effect in the unit test generation process. We evaluated the models based on compilation rates, test correctness, coverage, and test smells. We found that the Codex model achieved above 80% coverage for the HumanEval dataset, but no model had more than 2% coverage for the EvoSuite SF110 benchmark. The generated tests also suffered from test smells, such as Duplicated Asserts and Empty Tests.Comment: Preprint submitted to Journal of Systems and Software; 36 pages, 4 figures, 7 table

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

Effects of antiplatelet therapy after stroke due to intracerebral haemorrhage (RESTART): a randomised, open-label trial

Background: Antiplatelet therapy reduces the risk of major vascular events for people with occlusive vascular disease, although it might increase the risk of intracranial haemorrhage. Patients surviving the commonest subtype of intracranial haemorrhage, intracerebral haemorrhage, are at risk of both haemorrhagic and occlusive vascular events, but whether antiplatelet therapy can be used safely is unclear. We aimed to estimate the relative and absolute effects of antiplatelet therapy on recurrent intracerebral haemorrhage and whether this risk might exceed any reduction of occlusive vascular events. Methods: The REstart or STop Antithrombotics Randomised Trial (RESTART) was a prospective, randomised, open-label, blinded endpoint, parallel-group trial at 122 hospitals in the UK. We recruited adults (≥18 years) who were taking antithrombotic (antiplatelet or anticoagulant) therapy for the prevention of occlusive vascular disease when they developed intracerebral haemorrhage, discontinued antithrombotic therapy, and survived for 24 h. Computerised randomisation incorporating minimisation allocated participants (1:1) to start or avoid antiplatelet therapy. We followed participants for the primary outcome (recurrent symptomatic intracerebral haemorrhage) for up to 5 years. We analysed data from all randomised participants using Cox proportional hazards regression, adjusted for minimisation covariates. This trial is registered with ISRCTN (number ISRCTN71907627). Findings: Between May 22, 2013, and May 31, 2018, 537 participants were recruited a median of 76 days (IQR 29–146) after intracerebral haemorrhage onset: 268 were assigned to start and 269 (one withdrew) to avoid antiplatelet therapy. Participants were followed for a median of 2·0 years (IQR [1·0– 3·0]; completeness 99·3%). 12 (4%) of 268 participants allocated to antiplatelet therapy had recurrence of intracerebral haemorrhage compared with 23 (9%) of 268 participants allocated to avoid antiplatelet therapy (adjusted hazard ratio 0·51 [95% CI 0·25–1·03]; p=0·060). 18 (7%) participants allocated to antiplatelet therapy experienced major haemorrhagic events compared with 25 (9%) participants allocated to avoid antiplatelet therapy (0·71 [0·39–1·30]; p=0·27), and 39 [15%] participants allocated to antiplatelet therapy had major occlusive vascular events compared with 38 [14%] allocated to avoid antiplatelet therapy (1·02 [0·65–1·60]; p=0·92). Interpretation: These results exclude all but a very modest increase in the risk of recurrent intracerebral haemorrhage with antiplatelet therapy for patients on antithrombotic therapy for the prevention of occlusive vascular disease when they developed intracerebral haemorrhage. The risk of recurrent intracerebral haemorrhage is probably too small to exceed the established benefits of antiplatelet therapy for secondary prevention