Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators

The Journal of Supercomputing - A newborn with a birth weight above the 90th percentile of same gestational age is termed as large for gestational age. Large for gestational age suffers from...     

An intelligent fault detection approach based on reinforcement learning system in wireless sensor network

The Journal of Supercomputing - The Internet of Things (IoT) has developed a well-defined infrastructure due to commercializing novel technologies. IoT networks enable smart devices to compile...     

Cloud point extraction for determination of lead in blood samples of children, using different ligands prior to analysis by flame atomic absorption spectrometry: a multivariate study

The phase-separation phenomenon of non-ionic surfactants occurring in aqueous solution was used for the extraction of lead (Pb²⁺) from digested blood samples after simultaneous complexation with ammonium pyrrolidinedithiocarbamate (APDC) and diethyldithiocarbamate (DDTC) separately. The complexed analyte was quantitatively extracted with octylphenoxypolyethoxyethanol (Triton X-114). The multivariate strategy was applied to estimate the optimum values of experimental factors. Acidic ethanol was added to the surfactant-rich phase prior to its analysis by flame atomic absorption spectrometer (FAAS). The detection limit value of Pb²⁺ for the preconcentration of 10 mL of acid digested blood sample was 1.14 μg L⁻¹. The accuracy of the proposed methods was assessed by analyzing certified reference material (whole blood). Under the optimized conditions of both CPE methods, 10 mL of Pb²⁺ standards (10 μg L⁻¹) complexed with APDC and DDTC, permitted the enhancement factors of 56 and 42, respectively. The proposed method was used for determination of Pb²⁺ in blood samples of children with kidney disorders and healthy controls.     

Self synthesize of silver nanoparticles in/on polyurethane nanofibers: Nano‐biotechnological approach

In this study, we are introducing a new class of Polyurethane (PU) nanofibers containing silver nanoparticles (NPs) by electrospinning. A simple method not depending on the addition of foreign chemicals has been used to self‐synthesize of silver NPs in/on PU nanofibers. Typically, a sol?gel consisting of AgNO₃/PU/N,N‐dimethylformamide (DMF) has been electrospun and aged for a week, so silver NPs have been created in/on PU nanofibers. Syntheses of silver NPs were carried out by exploiting the reduction ability of the DMF solvent which is the main constituent to obtain PU electrospun nanofibers in decomposition of silver nitrate precursor into silver NPs. Physiochemical characterizations confirmed well oriented nanofibers and good dispersing of pure silver NPs. Various parameters affecting utilizing of the prepared nanofibers on various nano‐biotechnological fields have been studied. For instance, the obtained nanofiber mats were checked for mechanical properties which showed the improvement of the tensile strength upon increase in silver NPs content. Moreover, the nanofibers were subjected to 10 times successive washing experiments with using solid to liquid ratio of 3 : 5000 for 25 h, UV spectroscopy analysis reveals no losses of silver NPs from the PU nanofibers. 3T3‐L1 fibroblasts were cultured in presence of the designed nanofibers. The morphological features of the cells attached on nanofibers were examined by BIO‐SEM, which showed well attachment of cells to fibrous mats. The cytotoxicity results indicated absence of toxic effect on the 3T3‐L1 cells after cell culturing. © 2009 Wiley Periodicals, Inc. J Appl Polym Sci, 2010     

Inclusion of recycled PPTA fibre in development of cut-resistant gloves

PPTA is a high-performance fibre with premium mechanical and heat-resistant properties. This study focused on developing cut-resistant gloves from recycled PPTA fibre. The cut resistance of knitted glove, from virgin and recycled PPTA fibre yarn with/without steel core, was evaluated to determine the performance of the glove. The fibre and yarn parameters were studied to understand the underlying factors which aided in premium cut-resistant properties of gloves manufactured from recycled fibres – higher than that of gloves manufactured from virgin PPTA fibres.     

Geometrical model to calculate the consumption of sewing thread for 301 lockstitch

Sewing thread is one of the most basic yet important components of a garment. Thread consumption for the lockstitch (Class 301) can be calculated by using its geometrical shape. This paper aims to develop a geometrical model to calculate the thread consumption for lockstitch (Class 301). Based on the basic geometry of lockstitch, a model has been proposed. The model is derived mathematically taking into account different variables: stitch length, stitch density, material thickness, and interlacing. Finally, the model was verified for 19 samples by comparing actual thread consumption with predicted thread consumption. The proposed model predicts the thread consumption with 97% accuracy. Sensitivity analysis is also performed to determine the significant influencing factor affecting the thread consumption. The proposed model can predict the thread consumption precisely for 301 lockstitch. Therefore, this model is useful for the apparel industry.     

Evaluating how well agent-based IDS perform

Intelligent agents - as a modern artificial intelligence concept - are now widely deployed in various software systems. The agent can be defined as a software entity which functions continuously and autonomously in a particular environment, able to carry out activities in a flexible and intelligent manner that is responsive to changes in the environment, and able to learn from its experience. An intrusion detection system can be decomposed into steps where an agent can perform a single or more step. But performance evaluation techniques of their use are still in the early stage. This infancy status holds especially true for agents used in intrusion detection systems (IDS) since they are new to this field. We believe that the two most important factors to measure for a given IDS are the risk time and the detection time. The risk time is the time at which the computer could be under risk of attack since the intrusion is not discovered yet. The smaller the detection time is the smaller the risk time. Thus, as a step towards a complete evaluation strategy, a simple IDS with agents was tested.     

Getting agents to help with the research

Intelligent agents are software programs that act on behalf of human users or other systems to carry out arduous information gathering and processing tasks. Thus, an agent-oriented approach is well suited for helping "a human" to find needed information on the Internet. This article describes the design of a multi-agent system and its cooperation with existing search engines. The proposed system is set up as a middle-layer agent between the user and the search engines. This system tracks the users activity and creates a pattern using association-rule mining as a text categorization technique. Depending on how well this pattern is drawn, the system provides more reliable, accurate and well-organized results for the user than if the user goes it alone. This system is in its initial implementation phase. We believe that it is a step towards a complete multi-agent based system for searching on the Internet.