Supervised Semantic Similarity-based Conflict Detection Algorithm: S3CDA

In the realm of software development, the clarity, completeness, and comprehensiveness of requirements significantly impact the success of software systems. The Software Requirement Specification (SRS) document, a cornerstone of the software development life cycle, delineates both functional and nonfunctional requirements, playing a pivotal role in ensuring the quality and timely delivery of software projects. However, the inherent natural language representation of these requirements poses challenges, leading to potential misinterpretations and conflicts. This study addresses the need for conflict identification within requirements by delving into their semantic compositions and contextual meanings. Our research introduces an automated supervised conflict detection method known as the Supervised Semantic Similarity-based Conflict Detection Algorithm (S3CDA). This algorithm comprises two phases: identifying conflict candidates through textual similarity and employing semantic analysis to filter these conflicts. The similarity-based conflict detection involves leveraging sentence embeddings and cosine similarity measures to identify pertinent candidate requirements. Additionally, we present an unsupervised conflict detection algorithm, UnSupCDA, combining key components of S3CDA, tailored for unlabeled software requirements. Generalizability of our methods is tested across five SRS documents from diverse domains. Our experimental results demonstrate the efficacy of the proposed conflict detection strategy, achieving high accuracy in automated conflict identification

A survey study on use of over the counter (OTC) drugs among medical students, nursing and clerical staff of a tertiary care teaching rural hospital

Aim: The study was conducted to evaluate use of over the counter (OTC) drugs among the medical students, nursing and clerical staff of tertiary care teaching rural hospital to determine the awareness and disadvantages on use of OTC.Methods: Responses to a feedback questionnaire covering various aspects on usage of OTC drugs were obtained from 100 medical students, 100 nursing and 100 clerical staff.Results: Among 300 respondents, 84% used OTC, commonly purchased by self. Majority of them started self medication within 2 days of their illness. The frequently reported illness that prompted self-medication included headache, cough and cold, fever, generalised weakness, acidity, dysmenorrhoea, and sleep disturbances. Majority of them obtained OTC by mentioning name of drug (81%), 35% by telling symptom and 15% by showing old prescription. We found that 87% people share OTC among relatives and friends.Conclusions: Usage of OTC was highest amongst medical students and nursing staff. Time consumption for consultation, the consultation fees and frequent visits were the commonly mentioned reasons for self medication. It was analysed that none of the clerical staff were aware of the drug, dose, frequency of administration and adverse reactions. While very little awareness of medication was found even among nursing staff and medical students. Therefore it is suggested that the public has to be educated on the type of illnesses to be self-diagnosed and medicated, dangers of OTC on misuse which would possibly lead to delay in detection of more serious underlying ailment and timely medication

Transfer learning for conflict and duplicate detection in software requirement pairs

Consistent and holistic expression of software requirements is important for the success of software projects. In this study, we aim to enhance the efficiency of the software development processes by automatically identifying conflicting and duplicate software requirement specifications. We formulate the conflict and duplicate detection problem as a requirement pair classification task. We design a novel transformers-based architecture, SR-BERT, which incorporates Sentence-BERT and Bi-encoders for the conflict and duplicate identification task. Furthermore, we apply supervised multi-stage fine-tuning to the pre-trained transformer models. We test the performance of different transfer models using four different datasets. We find that sequentially trained and fine-tuned transformer models perform well across the datasets with SR-BERT achieving the best performance for larger datasets. We also explore the cross-domain performance of conflict detection models and adopt a rule-based filtering approach to validate the model classifications. Our analysis indicates that the sentence pair classification approach and the proposed transformer-based natural language processing strategies can contribute significantly to achieving automation in conflict and duplicate detectio

A prospective survey study on premenstrual syndrome in young and middle aged women with an emphasis on its management

Premenstrual syndrome (PMS) is defined as the recurrence of psychological and physical symptoms in the luteal phase, which remit in the follicular phase of the menstrual cycle. Symptoms of which fall in three domains: emotional, physical and behavioural e.g. irritability, anger, headache, fatigue, food cravings etc. The survey study of was conducted among 50 young & 50 middle aged women of S.B.K.S Medical Institute and Research Centre to find the prevalence of premenstrual syndrome with an emphasis on its management. Responses to a feedback questionnaire covering various aspects related PMS were obtained from 50 participants belonging to each group. The participants belonged to different range of literacy. It was found that 42% faced PMS regularly, while 58% occasionally. Of the 100 participants 68% suffered with backache, 64% leg cramps, 62% fatigue, breast tenderness and anger whereas 58% suffered with anxiety and generalized body ache. Of all the sufferers only 34% had received the treatment for PMS. Irrespective of the age PMS is common problem faced by women. With our study we observed that literacy has not mattered in the management of this health problem. Since there are reports stating that the severity of PMS can hamper the daily routine and even lead to suicidal tendency, it is essential that awareness programs need to be conducted to address the importance of managing the issue by pharmacological and non-pharmacological methods

Evaluation of management in acute coronary syndrome and extent of adherence to standard treatment guidelines

Background: India has the highest burden of acute coronary syndrome (ACS) in the world. This research is to evaluate prescriptions pattern and extent of adherence to American College of Cardiology (ACC)\American Heart Association (AHA) guidelines in the management of ACS with patient outcome.Methods: Case record form containing patient’s demographic, clinical profile, diagnosis, prescription drugs (with dose, duration and frequency) were noted. Pharmacotherapy was compared to ACC/AHA guidelines, to evaluate adherence, guideline adherence index (GAI-5) was used for 5 major drug groups for ACS. GAI was calculated as: number of patients using the prescribed medications/number of eligible patients multiplied by 100.Results: A total of 172 patients diagnosed with ACS. 64 (37.20%) Patients with the highest preponderance to ACS belonged to 51-60 years age group with a 4.73:1 male to female ratio. ST-elevation myocardial infarction (STEMI) (44.77%) was the most common diagnosis and an average of 14.66±4.34 drugs were prescribed. Majority of the patients opted for percutaneous coronary intervention (PCI) with or without having received fibrinolytic therapy at onset. Adherence to the ACC/AHA guidelines being 93.75% and 118 prescriptions being 100% adherent to the guidelines. A positive correlation between adherence and number of drugs was statistically significant.Conclusions: The success of evidence-based medicine (EBM) was well noted with a 0% in hospital mortality rate i.e. all of the 172 patients were discharged with therapeutic success. Despite the concept of EBM and its proven effectiveness, there is a paucity of availability of such guidelines in India, so this study, a first of its kind can serve as a starting point of generating national as well as local guidelines

A prospective study on the use of magnesium sulfate in prevention and management of eclampsia with emphasis on adverse drug reactions

Introduction: The hypertensive disorders in pregnancy are the leading causes of maternal and perinatal mortality. Management of preeclampsia and eclampsia remains controversial even today. Several drugs with different regimens are available at present. As a consequence; women are treated in various ways by different regimens.Aim: Our work aimed to study the use of various magnesium sulfate regimens used in management of eclampsia in a tertiary care teaching rural hospital.Methods: A prospective, observational, non-interventional study was carried out among the eclamptic patients admitted to obstetrics ward. After explaining the purpose and method of study, through the patient information sheet, patients willing to sign the informed consent form were enrolled for the study. Relevant data was gathered from their case files and by direct interview with the patients that were recorded in the case record form.Results: Of the 35 cases of eclampsia recorded during the study period, we observed that all the patients were treated with Pritchard’s regimen of Magnesium Sulfate. It was noticed that there was improvement in all the patients with no adverse drug reactions recorded during the time of management.Conclusion: Maternal and perinatal mortality can be reduced to major extent by prevention of eclampsia. Prompt diagnosis and institution of therapy by selecting an ideal anticonvulsant is essential as the maternal and perinatal mortality progressively rises with increase no of convulsions. Magnesium Sulfate is a potent anticonvulsant with mild antihypertensive activity with less adverse effects.

A prospective study on drug utilization pattern & rationality in treatment of type II diabetes mellitus: a population based analysis

Background: Diabetes a chronic disease is associated with significant morbidity, complications with poor glycemic control. Hence, meticulous management is necessary. Comorbid conditions increase chances of polypharmacy and irrational prescriptions in diabetic patients. This prospective non interventional study aimed to gather and study the drug utilization pattern in diabetic patients.Methods: The study was conducted in 50 diabetic patients admitted in medicine ward. Patients were included in the study only after obtaining written informed consent form; all relevant data were collected from case record forms and were analyzed.Results:Diabetes mellitus was observed to be highest in patients with the age group of 60-70 years, affecting 66% males and 34% females. Among the participants 42 (84%) were already on treatment for diabetes while 8 (16%) were diagnosed at the time of admission. We observed that 27 (54%) patients were treated with insulin + oral hypoglycemic agents, 13 (26%) were treated with only Insulin while 10 (20%) patients were prescribed only oral hypoglycemic agents. The most common comorbid conditions observed by us were hypertension, chronic renal disease, diabetic foot, septicemia, urinary tract infections and other susceptible infections.Conclusion:To conclude, the study reveals that Metformin continues to be the choice of oral hypoglycemic agents with least adverse effects and insulin was used to treat uncontrolled state, where physicians have greatly considered the socio-economic status while prescribing which is obvious with least use of costly insulin preparations.

Structural Heart Interventions in the Elderly Population

Aortic stenosis is the most common valvular heart disease in the elderly population. Since the advent of transcatheter aortic valve implantation (TAVI) in 2002, the clinical indications for this alternative to a surgical replacement have continually expanded. While the treatment of octo- and nonagenarians can present significant challenges, here we present a case of TAVI in an elderly patient. Given her suitable anatomy and active lifestyle that had been limited by her disease state, the patient successfully underwent TAVI 3 weeks later and was discharged post-operative day 1. This case is the basis for providing five key points to remember about the work-up for TAVI for severe aortic stenosis in the elderly population