Behavior of infants with iron-deficiency anemia

This study tested the hypothesis that infants with iron-deficiency anemia show behaviors, such as increased proximity to caregivers, increased wariness or hesitance, and decreased activity, that could contribute to "functional isolation." The behavior of 52 Costa Rican 12- to 23-month-old infants with iron-deficiency anemia was contrasted with that of 139 comparison group infants with better iron status during free play and mental and motor testing and in the home. Infants with iron-deficiency anemia maintained closer contact with caregivers; showed less pleasure and delight; were more wary, hesitant, and easily tired; made fewer attempts at test items; were less attentive to instructions and demonstrations; and were less playful. Adult behavior also differed. The results indicate that iron-deficiency anemia in infancy is associated with alterations in affect and activity, suggesting that functional isolation is a useful framework for understanding poorer developmental outcome in iron-deficiency anemia, the world's most common single nutrient deficiency.     

Ligand-binding domains in vitellogenin receptors and other LDL-receptor family members share a common ancestral ordering of cysteine-rich repeats

Insect vitellogenin and yolk protein receptors (VgR/YPR) are newly discovered members of the low-density lipoprotein receptor (LDLR) family, which is characterized by a highly conserved arrangement of repetitive modular elements homologous to functionally unrelated proteins. The insect VgR/YPRs are unique in having two clusters of complement-type cysteine-rich (class A) repeats or modules, with five modules in the first cluster and seven in the second cluster, unlike classical LDLRs which have a single seven-module cluster, vertebrate VgRs and very low density lipoprotein receptors (VLDLR) which have a single eight-module cluster, and LDLR-related proteins (LRPs) and megalins which have four clusters of 2-7, 8, 10, and 11 modules. Alignment of clusters across subfamilies by conventional alignment programs is problematic because of the repetitive nature of the component modules which may have undergone rearrangements, duplications, and deletions during evolution. To circumvent this problem, we "fingerprinted" each class A module in the different clusters by identifying those amino acids that are both relatively conserved and relatively unique within the cluster. Intercluster reciprocal comparisons of fingerprints and aligned sequences allowed us to distinguish four cohorts of modules reflecting shared recent ancestry. All but two of the 57 modules examined could be assigned to one of these four cohorts designated A, B, C, and D. Alignment of clusters based on modular cohorts revealed that all clusters are derived from a single primordial cluster of at least seven modules with a consensus arrangement of CDCADBC. All extant clusters examined are consistent with this consensus, though none matches it perfectly. This analysis also revealed that the eight-module clusters in vertebrate VgRs, insect VgR/YPRs, and LRP/megalins are not directly homologous with one another. Assignment of modules to cohorts permitted us to properly align 32 class A clusters from all four LDLR subfamilies for phylogenetic analysis. The results revealed that smaller one-cluster and two-cluster members of the family did not originate from the breakup of a large two-cluster or four-cluster receptor. Similarly, the LRP/megalins did not arise from the duplication of a two-cluster insect VgR/YPR-like progenitor. Rather, it appears that the multicluster receptors were independently constructed from the same single-cluster ancestor.     

Augmenting and structuring user queries to support efficient free-form code search

Source code terms such as method names and variable types are often different from conceptual words mentioned in a search query. This vocabulary mismatch problem can make code search inefficient. In this paper, we present COde voCABUlary (CoCaBu), an approach to resolving the vocabulary mismatch problem when dealing with free-form code search queries. Our approach leverages common developer questions and the associated expert answers to augment user queries with the relevant, but missing, structural code entities in order to improve the performance of matching relevant code examples within large code repositories. To instantiate this approach, we build GitSearch, a code search engine, on top of GitHub and Stack Overflow Q&A data. We evaluate GitSearch in several dimensions to demonstrate that (1) its code search results are correct with respect to user-accepted answers; (2) the results are qualitatively better than those of existing Internet-scale code search engines; (3) our engine is competitive against web search engines, such as Google, in helping users solve programming tasks; and (4) GitSearch provides code examples that are acceptable or interesting to the community as answers for Stack Overflow questions.     

On Locating Malicious Code in Piggybacked Android Apps

To devise efficient approaches and tools for detecting malicious packages in the Android ecosystem, researchers are increasingly required to have a deep understanding of malware. There is thus a need to provide a framework for dissecting malware and locating malicious program fragments within app code in order to build a comprehensive dataset of malicious samples. Towards addressing this need, we propose in this work a tool-based approach called HookRanker, which provides ranked lists of potentially malicious packages based on the way malware behaviour code is triggered. With experiments on a ground truth of piggybacked apps, we are able to automatically locate the malicious packages from piggybacked Android apps with an accuracy@5 of 83.6% for such packages that are triggered through method invocations and an accuracy@5 of 82.2% for such packages that are triggered independently.     

Two-component aqueous epoxy binders free of volatile organic content (VOC)

Water-borne two-pack coatings based on a novel epoxy resin emulsion, cross-linked with three different amine group containing curing agents, are discussed. The aqueous binders developed at the Research Laboratory at Dow Deutschland Inc. are free of volatile organic content. The epoxy resin emulsion has a low MFFT (minimum film formation temperature) and is hence capable of forming a continuous film at low temperatures and good emulsifying properties. The interaction is discussed between the epoxy emulsion, pigments and hardeners which are in aqueous solution, emulsion or hydrophobic (non-aqueous) form. Some of the described systems will gain interest in a wide range of applications because of their excellent properties, including adhesion to various substrates, resistance to chemicals, solvents and water, hardness and toughness. The predicted major applications for such systems include concrete, plastic and wood coatings, and anti-corrosive systems for steel and other metals.     

Further developments in crude oil processing

The processing conditions for obtaining high oil quality and yield in continuous caustic refining of the following crude oils are given: tallow, palm, fish, rapeseed, and sunflower. pH Monitoring of reaction mixture assures proper caustic dosage. pH Set point range for various crudes is noted.     

Synthesis of well‐defined,functionalized polymer latex particles through semicontinuous emulsion polymerization processes

The design of a semicontinuous emulsion polymerization process, primarily based on theoretical calculations, has been carried out with the objective of achieving overall independent control over the latex particle size, the monodispersity in the particle size distribution, the homogeneous copolymer composition, the concentration of functional groups (e.g., carboxyl groups), and the glass‐transition temperature with n‐butyl methacrylate/n‐butyl acrylate/methacrylic acid as a model system. The surfactant coverage on the latex particles is very important for maintaining a constant particle number throughout the feed process, and this results in the formation of monodisperse latex particles. A model has been set up to calculate the surfactant coverage from the monomer feed rate, surfactant feed rate, desired solid content, and particle size. This model also leads to an equation correlating the polymerization rate to the instantaneous conversion of the monomer or comonomer mixture. This equation can be used to determine the maximum polymerization rate, only below or at which monomer‐starved conditions can be achieved. The maximum polymerization rate provides guidance for selecting the monomer feed rate in the semicontinuous emulsion polymerization process. The glass‐transition temperature of the resulting carboxylated poly(n‐butyl methacrylate‐co‐n‐butyl acrylate) copolymer can be adjusted through variations in the compositions of the copolymers with the linear Pochan equation. © 2003 Wiley Periodicals, Inc. J Appl Polym Sci 88: 30–41, 2003     

SkaSim – Skalierbare HPC‐Software für molekulare Simulationen in der chemischen Industrie

This article outlines advances in molecular modeling and simulation using massively parallel high‐performance computers (HPC). In the SkaSim project, partners from the HPC community collaborated with users from science and industry. The aim was to optimize the prediction of thermodynamic property data in terms of efficiency, quality and reliability using HPC methods. In this context, various topics were dealt with: atomistic simulation of homogeneous gas bubble formation, surface tension of classical fluids and ionic liquids, multicriteria optimization of molecular models, the development of the molecular simulation codes ls1 mardyn and ms2, atomistic simulation of gas separation processes, molecular membrane structure generators, transport resistors and the evaluation of predictive property data models based on specific mixture types.     

Implementation of Machine Learning for Autonomic Capabilities in Self-Organizing Heterogeneous Networks

The 3GPP’s self-organizing networks (SONs) standards are a huge step towards the autonomic networking concept. They are the response to the increasing complexity and size of the mobile networks. This paper proposes a novel scheme for SONs. This scheme is based on machine learning techniques and additionally adopting the concept of abstraction and modularity. The implementation of these concepts in a machine learning scheme allows the usage of independent vendor and technology algorithms and reusability of the proposed approach for different optimization tasks in a network. The scheme is tested for solving an energy saving optimization problem in a heterogeneous network. The results from simulation experiments show that such an approach could be an appropriate solution for developing a full self-managing future network.