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Data analysis is a crucial process in the field of data science that extracts useful information from any form of data. With the rapid growth of technology, more and more unstructured data, such as text and images, are being produced in large amounts. Apart from the analytical techniques used, the quality of the data plays a prominent role in the accurate analysis. Data quality becomes inferior to poor maintenance and mediocre data generation strategies employed by amateur users. This problem escalates with the advent of big data. In this paper, we propose a quality assessment model for the textual form of unstructured data (TDQA). The context of data plays an important role in determining the quality of the data. Therefore, we automate the process of context extraction in textual data using natural language processing to identify data errors and assess quality.

The article offers information on Facility Management (FM) service transformation. It discussions on workplace safety, strategy, FM's guidance on adjustments to air exchange rates, cleaning frequency, lighting schedules, food services and countless other operational areas. It outlines the Global Workforce Initiative contribution in economy, equity and environment.

Thermoplastic elastomers based on styrenic block copolymers (SBCs), and blends of SBCs with several plastics have attracted special attention due to the processing flexibility and the mechanical and elastic properties [...]

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.cose.2004.09.008 Byline: Srilatha Chebrolu (a), Ajith Abraham (a)(b), Johnson P. Thomas (a) Abstract: Current intrusion detection systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything) to the detection process. The purpose of this study is to identify important input features in building an IDS that is computationally efficient and effective. We investigated the performance of two feature selection algorithms involving Bayesian networks (BN) and Classification and Regression Trees (CART) and an ensemble of BN and CART. Empirical results indicate that significant input feature selection is important to design an IDS that is lightweight, efficient and effective for real world detection systems. Finally, we propose an hybrid architecture for combining different feature selection algorithms for real world intrusion detection. Author Affiliation: (a) Department of Computer Science, Oklahoma State University, 700 N Greenwood Avenue, Tulsa, OK 74106, USA (b) School of Computer Science and Engineering, Chung-Ang University, Seoul 156-756, Republic of Korea Article History: Received 26 May 2004; Revised 28 July 2004; Accepted 6 September 2004

The article presents views of author's on the importance and benefits of diversity in facility management (FM), and explores the role of International Facility Management Association's Global Workforce Initiative which offers training facility management professionals and helps in career growth. It mentions author's experiences in the field of FM. It also mentions author's views on diversity and providing services in the field of operations and human resources.

We evaluated the clinical performance of an expanded mutation panel in combination with microRNA classification (MPTX) for the management of indeterminate thyroid nodules.

Artificial intelligence algorithms could be used to risk-stratify thyroid nodules and may reduce the subjectivity of ultrasonography. One such algorithm is AIBx which has shown good performance. However, external validation is crucial prior to clinical implementation.Patients harboring thyroid nodules 1–4 cm in size, undergoing thyroid surgery from 2014 to 2016 in a single institution, were included. A histological diagnosis was obtained in all cases. Medullary thyroid cancer, metastasis from other cancers, thyroid lymphomas, and purely cystic nodules were excluded. Retrospectively, transverse ultrasound images of the nodules were analyzed by AIBx, and the results were compared with histopathology and Thyroid Imaging Reporting and Data System (TIRADS), calculated by experienced physicians.Out of 329 patients, 257 nodules from 209 individuals met the eligibility criteria. Fifty-one nodules (20%) were malignant. AIBx had a negative predictive value (NPV) of 89.2%. Sensitivity, specificity, and positive predictive values (PPV) were 78.4, 44.2, and 25.8%, respectively. Considering both TIRADS 4 and TIRADS 5 nodules as malignant lesions resulted in an NPV of 93.0%, while PPV and specificity were only 22.4 and 19.4%, respectively. By combining AIBx with TIRADS, no malignant nodules were overlooked.When applied to ultrasound images obtained in a different setting than used for training, AIBx had comparable NPVs to TIRADS. AIBx performed even better when combined with TIRADS, thus reducing false negative assessments. These data support the concept of AIBx for thyroid nodules, and this tool may help less experienced operators by reducing the subjectivity inherent to thyroid ultrasound interpretation.

Sputum obtained either under instruction from a health-care worker or through induction can improve case detection of active tuberculosis. However, the best initial sputum sampling strategy for adults with suspected smear-negative or sputum-scarce tuberculosis in primary care is unclear. We compared these two methods of sample acquisition in such patients.

While arginine deiminase (ADI) from Mycoplasma arginini is a well-known anticancer agent, very little is known about any such role of ADI from other bacteria. Additionally, M. arginini ADI is believed to exert its anticancer activity due to depletion of arginine from cancer cells. In this report, we demonstrate anticancer activity of ADI from Pseudomonas aeruginosa. We have also cloned and expressed a truncated form from the P. aeruginosa ADI which harbors a caspase recruitment domain (CARD). This polypeptide, called Pa-CARD, demonstrates anticancer activity without exhibiting any ADI enzymatic activity by inducing apoptosis in cancer cells but not in normal cells. Microarray experiments suggest that Pa-CARD modulates NF-kB signaling pathway genes to exert its anticancer activity.

The preparation, characterization, and bio‐testing of biocide incorporated silicone coatings for marine applications have been conducted. Derivatives of the biocide, Triclosan (5‐chloro‐2‐(2, 4‐dichlorophenoxy) phenol), were used to covalently attach the biocide moiety to a silicone backbone. The formulation process allowed for control of the resulting coating's mechanical properties as well as antifouling/fouling‐release performance in ocean site testing. The test results showed significantly reduce macro‐fouling with sustained fouling‐release characteristics for the coatings produced.

Male weanling Lewis rats were fed two concentrations of copper (0.6 or 5.6 ug Cu/g diet) for 42 days. Rats consuming the low copper diet had lower hemoglobin, hematocrit, serum ceruloplasmin activity, and copper and iron concentrations than those fed the adequate copper diet. Copper-deficient (CuD) rats had elevated liver iron. Concanavalin-A (Con-A)-induced incorporation of 3H-thymidine (3H-TdR) was suppressed in erythrocyte-free suspensions of splenic lymphoid cells from CuD rats, but not in spleen cell suspensions containing resident erythrocytes. Addition of either erythrocytes or latex particles to preparations of splenic lymphoid cells that had been treated with ammonium chloride (LSLC) enhanced the mitogenic reactivity of splenic T-lymphocytes from CuD rats relative to that of the controls. LSLC from CuD rats required four times as many latex particles per cell for maximal T-lymphocyte reactivity to Con-A than did cells from copper-adequate (CuA) rats. These results suggest that copper deficiency is associated with enhanced activity or number of suppressor macrophages in the spleen. Such an alteration may contribute to the immunocompromised state found in copper-deficient rodents.