Effective Utilization of Supervised Learning Techniques for Process Model Matching

The recent attempts to use supervised learning techniques for process model matching have yielded below par performance. To address this issue, we have transformed the well-known benchmark correspondences to a readily usable format for supervised learning. Furthermore, we have performed several experiments using eight supervised learning techniques to establish that imbalance in the datasets is the key reason for the abysmal performance. Finally, we have used four data balancing techniques to generate balanced training dataset and verify our solution by repeating the experiments for the four datasets, including the three benchmark datasets. The results show that the proposed approach increases the matching performance significantly

Non-Histaminergic Angioedema Following Infection with COVID-19

Non-respiratory manifestations of COVID-19, including dermatological manifestations, have been reported, and although urticaria associated with COVID-19 has been reported, there have been no reports of non-histaminergic angioedema following infection with mild COVID-19. Non-histaminergic angioedema has a gradual onset and is characterized by submucosal swelling without accompanying urticaria or pruritus, and poor response to antihistamines and corticosteroids. We report a case of non-histaminergic angioedema in a 29-year-old woman with a history of mild COVID-19 infection. Our case highlights the fact that early diagnosis of non-histaminergic angioedema in mild COVID-19 patients is crucial for effective treatment and requires a high level of suspicion from both general and emergency physicians

Positive Organizational Study: A Comparison between Private and Government University Teacher

The study conducted explored the relation between Psychological Capital, General Health and Organizational Citizenship Behavior and its variation between the teachers of private and government universities of Karachi, Pakistan. Based on existing literature, following hypotheses were formulated; (1) Difference would be observed in psychological capital of private and government university teachers, (2) Difference would be observed in efficacy levels of private and government university teachers, (3) Individuals with good health will have high psychological capital, (4) Individuals with high OCB will have high psychological capital. Through convenient sampling, 261 teachers teaching at graduate-level were taken as participants. Psychological Capital Questionnaire, General Health Questionnaire and Organizational Citizenship Behavior Checklist were employed. All the hypotheses were proved when results were analyzed through SPSS. In conclusion, people having high psychological capital live healthier life and are more likely to indulge in pro-social activities and organizational citizenship behavior

Impact of mobility models on clustering based routing protocols in mobile WSNs

This paper presents comparison of different hierarchical (position and non-position based) protocols with respect to different mobility models. Previous work mainly focuses on static networks or at most a single mobility model. Using only one mobility model may not predict the behavior of routing protocol accurately. Simulation results show that mobility has large impact on the behavior of WSN routing protocols. Also, position based routing protocols performs better in terms of packet delivery compared to non position based routing protocols

Factors ssociated with complicated appendicitis: view from a low-middle income country

Introduction Factors associated with complicated appendicitis have been inconsistently identified. Moreover, studies are lacking from low and low-middle countries where access to surgical care is limited. Our objective was to identify factors predicting complicated appendicitis as diagnosed intraoperatively in a low-middle income country hospital. Methodology Retrospective case-control study of patients who underwent laparoscopic appendectomy from 01/2008 to 12/2015 was completed. Based on intraoperative diagnosis of complicated appendicitis, patients were divided into two groups; those with complicated appendicitis (CA) and those who had non-complicated appendicitis (NCA). CT scans were further reviewed to identify presence of appendicolith. Result Of the 442 patients included, 88 (20%) patients were in the CA group while 354 (80%) patients were in the NCA group. Patients in the CA group were older [CA vs. NCA: 34.6 ± 14 vs. 30.4 ± 11.5; p-value \u3c 0.001], had symptoms for longer duration [CA vs. NCA: 2 ± 1.2 vs. 1.5 ± 0.8; p-value: 0.001] and had a greater proportion of patients with appendicoliths [CA vs. NCA: 37 (42%) vs. 84 (23.7%); p-value: 0.001]. On multivariable regression analysis, patients with complicated appendicitis had greater odds of having appendicoliths (OR: 2.4, 95% CI: 1.4-4.07; p-value \u3c 0.001) and symptoms for a longer duration (OR: 1.57, 95% CI: 1.25-1.97; p-value \u3c 0.001). Conclusion Patients with complicated appendicitis had greater odds of having appendicoliths and symptoms for a longer duration. Further studies are warranted in low and low-middle income countries to gauge the impact delay in presentation and intervention has on appendicitis and its outcomes

Comparison of levels of von Willebrand factor and ADAMTS13 in Patients of Myocardial Infarction and Healthy Controls

Background: to determine the levels of von Willebrand factor (vWF) and ADAMTS13 in patients of myocardial infarction and healthy controls Methods: In a comparative study, the samples were collected from 45 myocardial infarction patients and 45 age and sex matched healthy controls. Total 5ml blood was collected in tri-sodium citrated vials. The determination of VWF was carried out by chromogenic assay on Stago and ADAMTS13 assay was carried out by standard ELISA kit. The Mann Whitney U test was used to determine the median difference between two groups (patients and control). Results; Patients with MI had higher median plasma level of VWF (161%) as compared to healthy controls (120%). The median plasma level of ADAMTS13 of control and patients was 56.54 U/L and 18.80 U/L respectively. The difference in median plasma levels of VWF & ADAMTS13 between groups was statistically significant (p < 0.001 Conclusion: Plasma VWF and ADAMTS13 had a significant association with MI patients. There exists an inverse correlation between plasma VWF and ADAMTS13 levels in MI patients, but this correlation was very weak in control group

Path Loss Modeling of WLAN and WiMAX Systems

With the advancement in technology, there was need for efficient and high speed internet through which we could have access to multiple networks as per the user requirement. WLAN met this need to some extent but, due to its low range it was not recommended commercially. With the introduction of WiMAX there was an emerging need to select the best network amongst WiMAX or WLAN depending upon the user location. Pathloss with respect to these particular networks also needs to be compared. In this paper we compare the pathloss modelling for WiMAX and WLAN systems. Different Models have been compared with each other to know which model performs better by keeping same simulation environment. Path Loss models used for WLAN are Okumura, Hata, Cost-231 and Free Space Path Loss whereas models used for WiMAX are Free Space Path Loss, Okumura-Hata, Cost231-Hata and Stanford University Interim. In case of WiMAX three different scenarios Urban, Sub-Urban and Rural is considered where as in case of WLAN only outdoor environment is considered. With the Path Loss comparison, power received for these two technologies; WiMAX, and WLAN is also simulated. MATLAB is the tool used for simulations. Antenna Specifications for WiMAX and WLAN is kept same for all simulation environments

Evaluation Of Antibody Response To Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Vaccination In Patients With Lymphoid And Solid Organ Malignancies

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the current COVID-19 pandemic. There is emerging evidence regarding suboptimal response to vaccination against COVID-19 in patients with hematologic and solid organ malignancies. We conducted a single-center prospective study assessing seroconversion in response to vaccination against COVID-19 in 53 patients with chronic lymphocytic leukemia (CLL), non-Hodgkin’s lymphoma (NHL), multiple myeloma (MM), and solid organ malignancies. A quantitative immunoassay of IgG antibodies to SARS-CoV-2 Spike (S) protein was measured prior to vaccination and at 2 weeks after completion of two-dose vaccination series. A fourfold increase in antibody titers was considered positive seroconversion. Through a predesigned survey, patients also self-reported side effects from each dose of vaccination. Seroconversion on vaccination was seen in 6/12 (50%) patients with CLL, 7/11 (63.6%) patients with NHL, 9/10 (90%) patients with MM, and 17/20 (85%) patients with solid organ malignancy. Only 6 of the 14 (42.8%) patients currently on or with previous history of rituximab use seroconverted. Injection site soreness was the most reported side effect. The only severe side effect occurred in a patient with solid organ malignancy who developed Parsonage-Turner syndrome. Patients with CLL and NHL appear less likely to respond to vaccination against COVID-19 in contrast to patients with MM or solid organ malignancies. Previous treatment with rituximab is a possible risk factor for suboptimal response to vaccination. These data highlight the importance of continuing risk mitigation strategies against COVID-19 in individuals with hematologic malignancy, particularly those with CLL or on treatment with rituximab

Improved Binary Similarity Measures for Software Modularization

Various binary similarity measures have been employed in clustering approaches to make homogeneous groups of similar entities in the data. These similarity measures are mostly based only on the presence and absence of features. Binary similarity measures have also been explored with different clustering approaches (e.g., agglomerative hierarchical clustering) for software modularization to make the software systems understandable and manageable. Each similarity measure has its own strengths and weaknesses that result in improving and deteriorating the clustering results, respectively. This paper highlights the strengths of some well-known existing binary similarity measures for software modularization. Furthermore, based on these existing similarity measures, this paper introduces the improved new binary similarity measures. Proofs of the correctness with illustration and a series of experiments are presented to evaluate the effectiveness of our new binary similarity measures

Ethnobotanical studies on Berberis aristata DC. root extracts

The aqueous and alcoholic extract of fresh Berberis aristata DC roots, as well as aqueous extract of dried roots were compared for their antibacterial and antifungal activities by the disc diffusion method.All three extracts showed wide antibacterial activity against Gram-positive bacteria. Among the Gramnegative bacteria tested, the antibacterial activity was limited to Escherichia coli, Salmonellatyphimurium, Shigella dysenteriae type 1 and Vibrio cholerae; with the best activity against V. cholerae. MICs of the alcoholic extracts against Gram-positive bacteria ranged between 3.8 ×10-3 to 6.1 ×10-3 mg/ml and for Gram-negative bacteria from 6.1 ×10-3 to 7.6 10-3 mg/ml. The MICs for Candida species ranged between 0.02 to 3.8 ×10-3 mg/ml and for Aspergillus species, it was 3 × 10-3 mg/ml. All three extracts also had antifungal activity against the fungal species tested, except Candida krusei. The extracts of B. aristata also demonstrated anti-inflammatory, analgesic, and antipyretic activities.Chemical analysis revealed the presence of alkaloids, amino acids, tannins, terpenes, resins, phenols and reducing sugars as major compounds. FTIR-spectral analysis of all the extracts revealed thepresence of berberine, as a major constituent, along with other chemical constituents