Detection of anomalies in cycling behavior with convolutional neural network and deep learning

Background: Cycling has always been considered a sustainable and healthy mode of transport. With the increasing concerns of greenhouse gases and pollution, policy makers are intended to support cycling as commuter mode of transport. Moreover, during Covid-19 period, cycling was further appreciated by citizens as an individual opportunity of mobility. Unfortunately, bicyclist safety has become a challenge with growing number of bicyclists in the 21st century. When compared to the traditional road safety network screening, availability of suitable data for bicycle based crashes is more difficult. In such framework, new technologies based smart cities may require new opportunities of data collection and analysis. Methods: This research presents bicycle data requirements and treatment to get suitable information by using GPS device. Mainly, this paper proposed a deep learning-based approach "BeST-DAD” to detect anomalies and spot dangerous points on map for bicyclist to avoid a critical safety event (CSE). BeST-DAD follows Convolutional Neural Network and Autoencoder (AE) for anomaly detection. Proposed model optimization is carried out by testing different data features and BeST-DAD parameter settings, while another comparison performance is carried out between BeST-DAD and Principal Component Analysis (PCA). Result: BeST-DAD over perform than traditional PCA statistical approaches for anomaly detection by achieving 77% of the F-score. When the trained model is tested with data from different users, 100% recall is recorded for individual user's trained models. Conclusion: The research results support the notion that proper GPS trajectory data and deep learning classification can be applied to identify anomalies in cycling behavior. © 2023, The Author(s).

Anxiety of Caregivers in Telerehabilitation Sessions during Covid 19

Introduction: Pandemics affect people in a defeatist manner and become stressful for people with relatives which need specific forms of care and attention. The study was conducted to find out if anxiety prevails among caretakers during the Covid-19 Pandemic as according to the literature review caregivers experience burden and fears related to their care-recipients and telerehabilitation. Material and Methods: The study used cross sectional survey and quantitative research.50 care-givers participated in the research where they filled online questionnaires inspired and derived from care-giver burden scale and beck anxiety inventory. Anxiety was clearly evident as most of the care-givers agreed to have feelings of nervousness 19 (38%), feeling anxious 18 (36%), feeling distressed 22 (44%), complaints about emotional burden 23 (43%) and 23 (46%) constant immersion in duties towards care-recipients. Results: SPSS tables depict the analyzed results and their interpretation. The results show 36%of the care-givers agreed that they face anxiety when a situation gets out of control, 44% were distressed about not getting enough help from healthcare team and other family and friends, 55% are apprehensive about their present condition and 46% are emotionally challenged and constantly immersed in duties owing to their family members. Conclusions: Anxiety and depression as a result of caregiving burden is common among care-givers and needs to be addressed as soon as possible. This makes it essential that health professionals pay heed and attention to develop interventions for care-givers and provide them with pertinent knowledge.

A Comparison of Low Dose with Standard Dose Chest CT Scan in Diagnosis of COVID-19

Aim: Comparison of safety profile of low dose CT scan chest with standard dose CT scan in Covid 19. Study design: Prospective study Place and duration of study: Department of Radiology, Benazir Bhutto Hospital, Rawalpindi from -01-09-2020 to 31-03-2021. Methods After approval from ERB, 45 COVID-19 positive patients diagnosed by PCR, aged 55 years and above were selected. In the prospective study, these patients with normal CXR were advised for same day chest CT scan. Initially, a standard dose of chest CT scan of 150mAs was applied. After assessing the chest signs of Covid on scan, a low-dose CT of 30mAs was performed instantly. A comparison was made to check the diagnostic accuracy of standard-dose and low-dose CT for the identification of features of typical COVID19 pneumonia. Results: The mean age of patients was 58.27±7.23. An admirable intra-reader agreement was found between low- and standard-dose CT in identifying typical findings of COVID pneumonia (intraclass correlation coefficient [ICC] = 0.98–0.99 with A p value of less than 0.001 of all readers). Mean effective dose values of low and standard dose groups were 1.69±0.38 mSv and 7.21±1.23, correspondingly. Values of absolute cancer risk per mean cumulative effective dose of low & standard dose chest CT examinations were 0.68 × 10−4 and 2.41×10−4 respectively. Conclusions: The low dose CT chest protocol is better than standard dose for the identification of typical COVID-19 pneumonia features in routine practice with substantial decrease in dose of radiation as well as estimated cancer risk.

COVID-19 Case Manager App for Oil & Gas Companies

As COVID-19 quickly spread across the globe to reach pandemic levels, companies across every industry had to quickly adapt their business practices to allow employees to connect virtually and work remotely. This addressed new complications in several areas, including contact tracing. This paper reviews an approach that Siemens Energy took to remove the errors and inefficiencies in manually conducting contact tracing by automating the process using an end-to-end case manager app. The app, which provides full transparency, analytics, and support, fully digitizes contact tracing from each employee's mobile device or computer. We discuss the features of the app, how it has been used in the UAE region, and the benefits that the company has realized in automating contact tracing-including faster tracing time, improved accuracy, and greater compliance with UAE COVID requirements. In just a few months' time, the app went from an idea to a fully-developed and widely used application -which is now approved for use in company facilities and business units around the world. © Copyright 2021, Society of Petroleum Engineers

A rare manifestation of COVID-19 in the abdomen: Acute pancreatitis

Introduction: Coronavirus, a novel menace, is exacting terrible human toll and mass death till date. It was thought that COVID-19 primarily affects the respiratory system, but recent studies have reported gastrointestinal manifestations as well. However, the incidence of acute pancreatitis in the setting of COVID-19 is a rising debate due to unknown mechanisms, especially in the absence of any precipitating factors for pancreatitis Case Description/Methods: An otherwise healthy 30-year-old female presented to the emergency department with pain in the lower abdomen radiating to the back, fever, cough, vomiting, diarrhea, and sore throat for the past seven to ten days. Her initial examination revealed a temperature of 100°F, a pulse rate of 85 beats /minute, blood pressure of 110/70 mmHg, respiratory rate of 20 breaths/minute, and oxygen saturation of 94% on room air. Her swab result for SARS-CoV-2 reverse transcriptase-polymerase chain reaction (RT-PCR) came positive. Laboratory testing revealed a rise in serum lipase and serum lipase level. Her ultrasonography (USG) of the abdomen was suggestive of fatty liver changes (hyperechoic parenchymal echogenicity) and no gallstones. She was managed conservatively with intravenous fluid, analgesics and antibiotics for bacterial infection. Absence of any predisposing factor for pancreatitis in the setting of COVID led to the diagnosis of acute pancreatitis induced by COVID-19. Her contrast-enhanced computed tomography (CECT) of the abdomen also confirmed our suspicion. Discussion: The rationale behind the development of acute pancreatitis in the presence of COVID- 19 infection, with no past medical history and precipitating risk factor for pancreatitis, is suggestive of COVID-19 as a triggering factor. This case highlights the importance of pancreatic enzyme monitoring if patients have abdominal complications and without further delay, proper management can be set up if diagnosed early. Future complications such as chronic pancreatitis and pseudocyst formation can also be prevented if timely diagnosed. (Figure Presented) .