CNN-Based Health Model for Regular Health Factors Analysis in Internet-of-Medical Things Environment

Remote health monitoring applications with the advent of Internet of Things (IoT) technologies have changed traditional healthcare services. Additionally, in terms of personalized healthcare and disease prevention services, these depend primarily on the strategy used to derive knowledge from the analysis of lifestyle factors and activities. Through the use of intelligent data retrieval and classification models, it is possible to study disease, or even predict any abnormal health conditions. To predict such abnormality, the Convolutional neural network (CNN) model is used, which can detect the knowledge related to disease prediction accurately from unstructured medical health records. However, CNN uses a large amount of memory if it uses a fully connected network structure. Moreover, the increase in the number of layers can lead to an increase in the complexity analysis of the model. Therefore, to overcome these limitations of the CNN-model, we propose a CNN-regular target detection and recognition model based on the Pearson Correlation Coefficient and regular pattern behavior, where the term "regular" denotes objects that generally appear in similar contexts and have structures with low variability. In this framework, we develop a CNN-regular pattern discovery model for data classification. First, the most important health-related factors are selected in the first hidden layer, then in the second layer, a correlation coefficient analysis is conducted to classify the positively and negatively correlated health factors. Moreover, regular patterns' behaviors are discovered through mining the regular pattern occurrence among the classified health factors. The output of the model is subdivided into regular-correlated parameters related to obesity, high blood pressure, and diabetes. Two distinct datasets are adopted to mitigate the effects of the CNN-regular knowledge discovery model. The experimental results show that the proposed model has better accuracy, and low computational load, compared with three different machine learning techniques methods

Elective cancer surgery in COVID-19-free surgical pathways during the SARS-CoV-2 pandemic: An international, multicenter, comparative cohort study

PURPOSE As cancer surgery restarts after the first COVID-19 wave, health care providers urgently require data to determine where elective surgery is best performed. This study aimed to determine whether COVID-19–free surgical pathways were associated with lower postoperative pulmonary complication rates compared with hospitals with no defined pathway. PATIENTS AND METHODS This international, multicenter cohort study included patients who underwent elective surgery for 10 solid cancer types without preoperative suspicion of SARS-CoV-2. Participating hospitals included patients from local emergence of SARS-CoV-2 until April 19, 2020. At the time of surgery, hospitals were defined as having a COVID-19–free surgical pathway (complete segregation of the operating theater, critical care, and inpatient ward areas) or no defined pathway (incomplete or no segregation, areas shared with patients with COVID-19). The primary outcome was 30-day postoperative pulmonary complications (pneumonia, acute respiratory distress syndrome, unexpected ventilation). RESULTS Of 9,171 patients from 447 hospitals in 55 countries, 2,481 were operated on in COVID-19–free surgical pathways. Patients who underwent surgery within COVID-19–free surgical pathways were younger with fewer comorbidities than those in hospitals with no defined pathway but with similar proportions of major surgery. After adjustment, pulmonary complication rates were lower with COVID-19–free surgical pathways (2.2% v 4.9%; adjusted odds ratio [aOR], 0.62; 95% CI, 0.44 to 0.86). This was consistent in sensitivity analyses for low-risk patients (American Society of Anesthesiologists grade 1/2), propensity score–matched models, and patients with negative SARS-CoV-2 preoperative tests. The postoperative SARS-CoV-2 infection rate was also lower in COVID-19–free surgical pathways (2.1% v 3.6%; aOR, 0.53; 95% CI, 0.36 to 0.76). CONCLUSION Within available resources, dedicated COVID-19–free surgical pathways should be established to provide safe elective cancer surgery during current and before future SARS-CoV-2 outbreaks

Elective Cancer Surgery in COVID-19-Free Surgical Pathways During the SARS-CoV-2 Pandemic: An International, Multicenter, Comparative Cohort Study.

PURPOSE: As cancer surgery restarts after the first COVID-19 wave, health care providers urgently require data to determine where elective surgery is best performed. This study aimed to determine whether COVID-19-free surgical pathways were associated with lower postoperative pulmonary complication rates compared with hospitals with no defined pathway. PATIENTS AND METHODS: This international, multicenter cohort study included patients who underwent elective surgery for 10 solid cancer types without preoperative suspicion of SARS-CoV-2. Participating hospitals included patients from local emergence of SARS-CoV-2 until April 19, 2020. At the time of surgery, hospitals were defined as having a COVID-19-free surgical pathway (complete segregation of the operating theater, critical care, and inpatient ward areas) or no defined pathway (incomplete or no segregation, areas shared with patients with COVID-19). The primary outcome was 30-day postoperative pulmonary complications (pneumonia, acute respiratory distress syndrome, unexpected ventilation). RESULTS: Of 9,171 patients from 447 hospitals in 55 countries, 2,481 were operated on in COVID-19-free surgical pathways. Patients who underwent surgery within COVID-19-free surgical pathways were younger with fewer comorbidities than those in hospitals with no defined pathway but with similar proportions of major surgery. After adjustment, pulmonary complication rates were lower with COVID-19-free surgical pathways (2.2% v 4.9%; adjusted odds ratio [aOR], 0.62; 95% CI, 0.44 to 0.86). This was consistent in sensitivity analyses for low-risk patients (American Society of Anesthesiologists grade 1/2), propensity score-matched models, and patients with negative SARS-CoV-2 preoperative tests. The postoperative SARS-CoV-2 infection rate was also lower in COVID-19-free surgical pathways (2.1% v 3.6%; aOR, 0.53; 95% CI, 0.36 to 0.76). CONCLUSION: Within available resources, dedicated COVID-19-free surgical pathways should be established to provide safe elective cancer surgery during current and before future SARS-CoV-2 outbreaks

Black ant stings caused <i> by Pachycondyla sennaarensis</i> : A significant health hazard

Several species of ants cause stings, but not all lead to allergic reactions. We present a series of cases of allergic reactions following insect bites or stings that presented to our emergency department and that were caused by the black samsum ant (Pachycondyla sennaarensis). Reactions ranged from mild allergic reactions to severe anaphylactic shock. Patients were treated with subcutaneous epinephrine 0.3 mg, intravenous methylprednisolone 125 mg, intravenous diphenhydramine HCl 50 mg, and intravenous normal saline as appropriate. These cases illustrate the range of clinical presentations to black ant stings, which can include severe reactions, indicating that ant stings are a significant public health hazard in Saudi Arabia. Physicians in the Middle East and Asia need to be aware of ant stings as a cause of severe allergic reactions

Reliability analysis of a cooling seawater pumping station

This paper aims to examine the reliability of a cooling seawater pumping station which pumps seawater to refineries and petrochemical plants in Kuwait mainly for cooling purposes. Owing to the harsh operating climate and the lack of other alternative sources of water, high reliability of the pumping system is crucially important. The reliability of a system can be considered from different views. The one taken in this study is to measure the reliability of the cooling seawater arriving to the consumer at the required pressure and flow rate while observing the operational constraints on the system. A reliability model has been developed and applied to the actual data from the pumping station. The preliminary results indicate that the model could be a useful tool to assess the current condition of the system and to find ways of improving system reliability and availability. The paper provides information of value to all concerned with relibility management

Algal Biomass Extract as Mediator for Copper Oxide Nanoparticle Synthesis: Applications in Control of Fungal, Bacterial Growth, and Photocatalytic Degradations of Dyes

Recently, algae have attracted the attention of investigators as a renewable source of compounds that can contribute to nanoparticle creation. The use algae biomass to facilitate preparation of copper oxide nanoparticles (CuONPs), as well as their application, were the aims of the present study. High performance liquid chromatography analysis of algal biomass indicated the presence of daidzein (2550 µg/mL), followed by ellagic acid (596 µg/mL). Algal biomass extract was successful as a bio-reducing agent for CuONPs fabrication at different temperatures up to 50 °C. Transmission electron microscopy characterized the created CuONPs with average size 5 to 17 nm. The colony radius of M. anisopliae, T. harzianum, C. lunata, F. oxysporium, A. flavus, and A. terreus was 1.84 ± 0.08, 1.97 ± 0.03, 1.00 ± 0.08, 2.04 ± 0.03, 2.32 ± 0.06, and 2.42 ± 0.05 cm, respectively at 200 mg of CuONPs. CuONPs exhibited inhibition zones of 26, 23, 25, and 22 mm when tested against B. subtilis, E.coli, K. pneumoniae, and S. aureus, respectively. Methyl orange and methyl green dyes were degraded by CuONPs with percentages ranging from 9.5 to 63.7% and from 22.3 to 75.7% at 15 to 90 min, respectively. Therefore, the created CuONPs can be regarded as excellent candidates for controlling fungal/bacterial development and dyes degradation

Biologicals in atopic disease in pregnancy: an EAACI position paper

Abstract Biologicals have transformed the management of severe disease phenotypes in asthma, atopic dermatitis, and chronic spontaneous urticaria. As a result, the number of approved biologicals for the treatment of atopic diseases is continuously increasing. Although atopic diseases are among the most common diseases in the reproductive age, investigations, and information on half-life, pharmacokinetics defining the neonatal Fc receptors (FcRn) and most important safety of biologicals in pregnancy are lacking. Given the complex sequence of immunological events that regulate conception, fetal development, and the intrauterine and postnatal maturation of the immune system, this information is of utmost importance. We conducted a systematic review on biologicals in pregnancy for indications of atopic diseases. Evidence in this field is scare and mainly reserved to reports on the usage of omalizumab. This lack of evidence demands the establishment of a multidisciplinary approach for the management of pregnant women who receive biologicals and multicenter registries for long-term follow-up, drug trial designs suitable for women in the reproductive age, and better experimental models that represent the human situation. Due to the very long half-life of biologicals, pre-conception counseling, and health care provider education is crucial to offer the best care for mother and fetus. This position paper integrates available data on safety of biologicals during pregnancy in atopic diseases via a systematic review with a detailed review on immunological considerations how inhibition of different pathways may impact pregnancy.Peer reviewe

Antibacterial, Antioxidant and Physicochemical Properties of <i>Pipper nigram</i> Aided Copper Oxide Nanoparticles

The Pipper nigram (P. nigram) leaf extract was used for the biosynthesis of copper oxide nanoparticles (CuO NPs) and the successful formation of the resultant product was confirmed through several physicochemical techniques. The chemical structure and the elemental composition were analysed through Fourier transform infrared (FTIR) and energy dispersive X-ray (EDX) spectroscopies, respectively. The crystalline structure and crystallite size were investigated through an X-ray diffractometer (XRD) and a monoclinic crystallite with a size of 40.68 nm was reported. Even-distributed particles with an average particle size of 49.75 nm were seen in the scanning electron micrograph (SEM), whereas the thermal stability was checked during the thermogravimetric analysis (TGA). The ultra-violet and visible (UV-Visible) spectroscopy was operated to study the light absorbance phenomena and to determine the band gap energy from the absorption edge, which was found to be 1.47 eV. The CuO NPs were used as antibacterial agents against gram-negative bacteria (GNB) and gram-positive bacteria (GPB), and greater inhibition zones were seen against the former one. The antioxidant test was also carried out against 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) free radicals and the antioxidant potential of CuO NPs was found to be higher than ascorbic acid