A multilabel classification approach for complex human activities using a combination of emerging patterns and fuzzy sets

In our daily lives, humans perform different Activities of Daily Living (ADL), such as cooking, and studying. According to the nature of humans, they perform these activities in a sequential/simple or an overlapping/complex scenario. Many research attempts addressed simple activity recognition, but complex activity recognition is still a challenging issue. Recognition of complex activities is a multilabel classification problem, such that a test instance is assigned to a multiple overlapping activities. Existing data-driven techniques for complex activity recognition can recognize a maximum number of two overlapping activities and require a training dataset of complex (i.e. multilabel) activities. In this paper, we propose a multilabel classification approach for complex activity recognition using a combination of Emerging Patterns and Fuzzy Sets. In our approach, we require a training dataset of only simple (i.e. single-label) activities. First, we use a pattern mining technique to extract discriminative features called Strong Jumping Emerging Patterns (SJEPs) that exclusively represent each activity. Then, our scoring function takes SJEPs and fuzzy membership values of incoming sensor data and outputs the activity label(s). We validate our approach using two different dataset. Experimental results demonstrate the efficiency and superiority of our approach against other approaches

Alarming update on incidence of Crimean-Congo hemorrhagic fever in Iraq in 2023

Objectives: In 2021, large outbreak of Crimean-Congo hemorrhagic fever (CCHF) was reported in Iraq and cases have increased without any significant control measures. To raise awareness about the increasing cases in different regions of Iraq, hence remind the necessity to tackle contributing factors and potential outbreak interventions. Methods: The study included 511 polymerase chain reaction-confirmed CCHF infection cases out of 1827 suspected cases from 18 Provinces from January to August 2023. Approval from the Ministry of Health for data analyzed. Results: Out of 1827 suspected cases, 511 were confirmed positive by polymerase chain reaction. The total case fatality rate (CFR) was 12.7 with varying severity levels among provinces. Erbil had the highest CFR, 38.5, while Sulaimaniya and Anbar report no deaths. Independent t-test showed a significant difference in CFR between provinces west and south of Baghdad compared to north (P <0.05). Trend showed significant surges after Iftar and Adha holidays. Conclusion: Differences in CFR among provinces around the religious ceremonies, highlight the need for one public health intervention strategy. Increased temperatures affected vector behavior. Uncontrolled animal movement with neighboring countries is an important factor. Virus or host determinants can shape the clinical case outcomes, which need clinical and extensive laboratory studies to unravel the reasons leading to death

The Use of Stemming in the Arabic Text and Its Impact on the Accuracy of Classification

The ongoing growth in the vast amount of digital documents and other data in the Arabic language available online has increased the need for classification methods that can deal with the complex nature of such data. The classification of Arabic plays a large and important role in many modern applications and interferes with other sciences, which start from search engines and do not end with the Internet of Things. However, addressing the Arab classification errors with high performance is largely insufficient to deal with the huge quantities to reveal the classification of Arab documents; while some work was tackled out on the classification of the Arabic text, most of the research has focused on English text. The methods proposed for English are not suitable for Arabic as the morphology of the two languages differs substantially. Moreover, morphologically, the preprocessing of Arabic text is a particularly challenging task. In this study, three commonly used classification algorithms, namely, the K-nearest neighbor, Naïve Bayes, and decision tree, were implemented for Arabic text in order to assess their effectiveness with and without the use of a light stemmer in the preprocessing phase. In the experiment, a dataset from Agency France Persse (AFP) Arabic Newswire 2001 consisting of four categories and 800 files was classified using the three classifiers. The result showed that the decision tree with light stemmer had the best accuracy rate for classification algorithm with 93%

IIST technical report

This research project examined the state of social sciences in Iraqi universities in four regions, involving four major universities (Baghdad, Erbil Sulaymaniya, and Basra), and a number of new, smaller provincial ones in Anbar, Salahudin, Najaf, Karbala and other provinces. The research team examined three clusters of variables, socio-political, institutional and cultural factors that promote or inhibit the development of social sciences and research capacity. A basic fact in the realm of higher education in Iraq is the central role of the state. Changes in the structure of academia, in curricula, or in the scope of academic freedom all require central sanction

Risk of tuberculosis with the use of anti-TNF medications in psoriasis: incidence, screening and management

Tumor necrosis factor (TNF) plays an important role in containing mycobacterial infections. With the rapidly increasing role of TNF inhibitors in dermatology, tuberculosis (TB) is becoming an important and worrisome concern to dermatologists. This paper aims to provide a comprehensive review on the incidence of TB in patients treated with anti-TNF, the variety of TB screening methods, and management of these cases. Various national recommendations have been highlighted. The monoclonal antibodies, infliximab and adalimumab, appear to be more associated with the risk of TB reactivation than the soluble receptor etanercept. Tuberculosis associated with TNF inhibitors, in contrast to classical TB, is more likely to be disseminated, atypical, extra pulmonary, and life threatening. Vigilance for typical and atypical presentations of active TB is mandatory until the end of therapy. Although tuberculin standard test (TST) has been the gold standard for screening of latent TB infection (LTBI) for close to a century, it has several inadequacies and may be unreliable in patients with widespread psoriasis. Interferon gamma release assays (IGRAs) with better diagnostic specificity and sensitivity are a promising adjunct to diagnose LTBI at present. Although appropriate screening and treatment of LTBI will lower the risk of reactivation to a great extent, no chemoprophylactic regimen is fully protective

Risk of tuberculosis with the use of anti-TNF medications in psoriasis: incidence, screening and management

Tumor necrosis factor (TNF) plays an important role in containing mycobacterial infections. With the rapidly increasing role of TNF inhibitors in dermatology, tuberculosis (TB) is becoming an important and worrisome concern to dermatologists. This paper aims to provide a comprehensive review on the incidence of TB in patients treated with anti-TNF, the variety of TB screening methods, and management of these cases. Various national recommendations have been highlighted. The monoclonal antibodies, infliximab and adalimumab, appear to be more associated with the risk of TB reactivation than the soluble receptor etanercept. Tuberculosis associated with TNF inhibitors, in contrast to classical TB, is more likely to be disseminated, atypical, extra pulmonary, and life threatening. Vigilance for typical and atypical presentations of active TB is mandatory until the end of therapy. Although tuberculin standard test (TST) has been the gold standard for screening of latent TB infection (LTBI) for close to a century, it has several inadequacies and may be unreliable in patients with widespread psoriasis. Interferon gamma release assays (IGRAs) with better diagnostic specificity and sensitivity are a promising adjunct to diagnose LTBI at present. Although appropriate screening and treatment of LTBI will lower the risk of reactivation to a great extent, no chemoprophylactic regimen is fully protective