Miracle-dz/UniFAR-FTUs huggingface dataset:
Confirmatory factor analysis of the Child Feeding Questionnaire: a measure of parental attitudes, beliefs and practices about child feeding and obesity proneness

The Child Feeding Questionnaire (CFQ) is a self-report measure to assess parental beliefs, attitudes, and practices regarding child feeding, with a focus on obesity proneness in children. Confirmatory factor analysis tested a 7-factor model, which included four factors measuring parental beliefs related to child's obesity proneness, and three factors measuring parental control practices and attitudes regarding child feeding. Using a sample of 394 mothers and fathers, three models were tested, and the third model confirmed an acceptable fit, including correlated factors. Internal consistencies for the seven factors were above 0.70. With minor changes, this same 7-factor model was also confirmed in a second sample of 148 mothers and fathers, and a third sample of 126 Hispanic mothers and fathers. As predicted, four of the seven factors were related to an independent measure of children's weight status, providing initial support for the validity of the instrument. The CFQ can be used to assess aspects of child-feeding perceptions, attitudes, and practices and their relationships to children's developing food acceptance patterns, the controls of food intake, and obesity. The CFQ is designed for use with parents of children ranging in age from about 2 to 11 years of age.
Support vector machine based intrusion detection system with reduced input features for advanced metering infrastructure of smart grid

Security of communication network is essential for the smooth functioning of smart grid. In this paper, an intrusion detection system is proposed for early detection of threats in advanced metering infrastructure of smart grid. The proposed intrusion detection system has a multi-support vector machine classifier with mutual information based feature selection technique to detect attacks in Neighborhood Area Network (NAN) of smart grid. Mutual information technique selects the input features of classifier by analyzing the relation between different features with attacks. The developed classifier is the integration of multiple support vector machine classifiers in which each classifier detect specific attack only. The performance of developed intrusion detection system is analyzed by training and testing the classifier with ADFA-LD dataset. The proposed classifier outperforms the other machine learning approaches like artificial neural network in the detection of attacks. Simulation results demonstrate that the proposed intrusion detection approach with mutual information is well suitable for detecting attacks accurately in smart grid.
Symbol Nomenclature for Graphical Representations of Glycans.

Author(s): Varki, Ajit; Cummings, Richard D; Aebi, Markus; Packer, Nicole H; Seeberger, Peter H; Esko, Jeffrey D; Stanley, Pamela; Hart, Gerald; Darvill, Alan; Kinoshita, Taroh; Prestegard, James J; Schnaar, Ronald L; Freeze, Hudson H; Marth, Jamey D; Bertozzi, Carolyn R; Etzler, Marilynn E; Frank, Martin; Vliegenthart, Johannes Fg; Lutteke, Thomas; Perez, Serge; Bolton, Evan; Rudd, Pauline; Paulson, James; Kanehisa, Minoru; Toukach, Philip; Aoki-Kinoshita, Kiyoko F; Dell, Anne; Narimatsu, Hisashi; York, William; Taniguchi, Naoyuki; Kornfeld, Stuart
Evaluation of Synapse Density in Hippocampal Rodent Brain Slices

In the brain, synapses are specialized junctions between neurons, determining the strength and spread of neuronal signaling. The number of synapses is tightly regulated during development and neuronal maturation. Importantly, deficits in synapse number can lead to cognitive dysfunction. Therefore, the evaluation of synapse number is an integral part of neurobiology. However, as synapses are small and highly compact in the intact brain, the assessment of absolute number is challenging. This protocol describes a method to easily identify and evaluate synapses in hippocampal rodent slices using immunofluorescence microscopy. It includes a three-step procedure to evaluate synapses in high-quality confocal microscopy images by analyzing the co-localization of pre- and postsynaptic proteins in hippocampal slices. It also explains how the analysis is performed and gives representative examples from both excitatory and inhibitory synapses. This protocol provides a solid foundation for the analysis of synapses and can be applied to any research investigating the structure and function of the brain.
Altruism predicts mating success in humans

In order for non-kin altruism to evolve, altruists must receive fitness benefits for their actions that outweigh the costs. Several researchers have suggested that altruism is a costly signal of desirable qualities, such that it could have evolved by sexual selection. In two studies, we show that altruism is broadly linked with mating success. In Study 1, participants who scored higher on a self-report altruism measure reported they were more desirable to the opposite sex, as well as reported having more sex partners, more casual sex partners, and having sex more often within relationships. Sex moderated some of these relationships, such that altruism mattered more for men's number of lifetime and casual sex partners. In Study 2, participants who were willing to donate potential monetary winnings (in a modified dictator dilemma) reported having more lifetime sex partners, more casual sex partners, and more sex partners over the past year. Men who were willing to donate also reported having more lifetime dating partners. Furthermore, these patterns persisted, even when controlling for narcissism, Big Five personality traits, and socially desirable responding. These results suggest that altruists have higher mating success than non-altruists and support the hypothesis that altruism is a sexually selected costly signal of difficult-to-observe qualities.
Using Linked Data for Integrating Educational Medical Web Databases Based on BioMedical Ontologies

Open data are playing a vital role in different communities, including governments, businesses, and education. This revolution has had a high impact on the education field. Recently, Linked Data are being adopted for publishing and connecting data on the web by exposing and connecting data which were not previously linked. In the context of education, applying Linked Data to the growing amount of open data used for learning is potentially highly beneficial. This paper proposes a system that tackles the challenges of data acquisition and integration from distributed web data sources into one linked dataset. The application domain of this work is medical education, and the focus is on integrating educational content in the form of articles published in online educational libraries and Web 2.0 content that can be used for education. The process of integrating a collection of heterogeneous resources is to create links that connect the resources collected from distributed web data sources based on their semantics. The proposed system harvests metadata from distributed web sources and enriches it with concepts from biomedical ontologies, such as SNOMED CT, that enable its linking. The final result of building this system is a linked dataset of more than 10,000 resources collected from PubMed Library, YouTube channels, and Blogging platforms. The final linked dataset is evaluated by developing information retrieval methods that exploit the SNOMED CT hierarchical relations for accessing and querying the dataset. Ontology-based browsing method has been developed for exploring the dataset, and the browsing results have been clustered to evaluate its linkages. Furthermore, ontology-based query searching method has been developed and tested to enhance the discoverability of the data. The results were promising and had shown that using SNOMED CT for integrating distributed resources on the web is beneficial.
Impact of Behavioral Finance on Stock Investment Decisions Applied Study on a Sample of Investors at Amman Stock Exchange

This study aims to explore the impact of a number of prominent behavioral finance variables covered by the financial literature (overconfidence, loss aversion, risk perception and herding) that may affect the stock investment decision-making at Amman Stock Exchange (ASE), as well as determining which of these variables has the relative importance. The importance of this study stems from the fact that local studies focusing on the issue of behavioral finance are rare and therefore, the researchers expect that such study will enrich awareness in this domain. The study consisted of 165 individual investors who were active in the trading halls at Amman Stock Exchange during the research period. The data were collected through a questionnaire prepared for the purpose of research and were analyzed by applying multiple statistical tests (Multiple regression and Hierarchal regression analysis) and by using statistical software (SPSS) after approving the reliability and validity of the questionnaire. The results showed that there was an impact of the behavioral finance at Amman Stock Exchange represented by three behavioral factors affecting the investment decisions of the individual investors which were: overconfidence, loss aversion, and herding, the results also showed that the variable overconfidence had the most relative significance. The research provided some recommendations for investors trading at ASE to adopt scientific bases in making stock investment decisions, and suggested to conduct further research to study the impact of behavioral finance on the different types of risks and yields at ASE.
Emergency Response to Mumbai Terror Attacks: An Activity Theory Analysis

The balance of safety and wellbeing of the public is disturbed by an emergency situation. Emergency responders try to mitigate this danger and restore the balance of public welfare and security during an emergency. This act is termed as emergency response. These emergencies could occur at a national level and hence they can be large and complex which could necessitate in the cooperation of several agencies. Immediate measures should be taken by emergency responders to ensure safety of people and to mitigate the impact of the emergency. The key to a successful emergency response is how effectively the pre-specified emergency response plan is executed and how well it can dynamically adapt to the change in scope of the crisis. Deviations from the norm can be exABSTRACT
XML-Signature XPath Filter 2.0

XML Signature recommends a standard means for specifying information content to be digitally signed and for representing the resulting digital signatures in XML. Some applications require the ability to specify a subset of a given XML document as the information content to be signed. The XML Signature specification meets this requirement with the XPath transform. However, this transform can be difficult to implement efficiently with existing technologies. This specification defines a new XML Signature transform to facilitate the development of efficient document subsetting implementations that interoperate under similar performance profiles.
U-Tsu-Shi-O-Mi: the virtual humanoid you can reach

The robot is life size and can make motions with neck, arms, and trunk and the avatars can follow these motions. And the robot is covered with a green fabric to apply chromakey techniques to combine the avatar images with real images. People who wear the HMD can see that the robot in front of them as if it were a realistic avatar. That means this is a meeting space with imaginary people rather than a robot for users.
Identification of a region in segment 1 of gelsolin critical for actin binding.

The actin severing and capping protein gelsolin contains three distinct actin binding sites. The smallest actin binding domain of approximately 15,000 Mr was originally obtained by limited proteolysis and it corresponds to the first of six repeating segments contained in the gelsolin sequence. We have expressed this domain (here termed segment 1 or N150 to define its amino acid length) in Escherichia coli, together with a series of smaller mutants truncated at either N‐ or C‐terminal ends, in an attempt to localize residues critical of actin binding. Limited truncation of segment 1 by 11 residues at its N‐terminal end has no observable effect on actin binding, but on removal of a further eight residues, actin binding is totally eliminated. Although this loss of actin binding may reflect ablation of critical residues, we cannot rule out the possibility that removal of these residues adversely affects the folding of the polypeptide chain during renaturation. Truncation at the C‐terminus of segment 1 has a progressive effect on actin binding. Unlike intact segment 1, which shows no calcium sensitivity of actin binding within the resolution of our assays, a mutant with 19 residues deleted from its C‐terminus shows unchanged affinity for actin in the presence of calcium, but approximately 100‐fold weaker binding in its absence. Removal of an additional five residues from the C‐terminus produces a mutant that binds actin only in calcium. Further limited truncation results in progressively weaker calcium dependent binding and all binding is eliminated when a total of 29 residues has been removed. Although none of the expressed proteins on their own binds calcium, 45Ca is trapped in the complexes, including the complex between actin and segment 1 itself. These results highlight a region close to the C‐terminus of segment 1 that is essential for actin binding and demonstrate that calcium plays an important role in the high affinity actin binding by this domain of gelsolin.
Influence of Renal Artery Variants, Number, Location, and Degree of Renal Artery Stenoses on the Atherosclerotic Burden of the Aorta

Objective To determine the assumed influence of the number of renal arteries, the distribution and extent of renal artery stenosis (RAS), and the kidney length on calcified aortic atherosclerotic plaque burden. Methods The computed tomographic angiographies of 1381 patients were analyzed retrospectively using a volumetric aortic calcium scoring method. The Spearman method was used to calculate the correlation between kidney length, number and diameter of renal arteries, as well as number, degree, and location of RASs on main or additional renal arteries with the extent of aortic atherosclerosis. Logistic regression analyses were conducted with the target variable “calcification present or absent. ” Results Patients with multiple renal arteries (38.3%) had lower plaque volumes than patients without such variants (0.55 ± 0.97 vs 0.64 ± 1.06 mL; P < 0.05). Renal artery stenoses affected all renal vessels with equal frequency. The aortic calcium score correlated with the number of RASs (P < 0.0001) and the maximum degree of RAS up to a threshold of 60%. Location of an RAS in the various renal arteries was irrelevant. In regression analyses, the presence of RAS (Wald = 5.523), the degree of RAS (Wald = 6.251), and age (Wald = 223.1) were positive predictors of the aortic calcium score, whereas kidney length (Wald = 9.564) proved to be a negative predictor. Conclusion The aortic calcium score correlates with both the number of RASs and the maximum degree of RAS up to a threshold of 60% but correlates inversely with the number of renal arteries. Renal artery stenosis affects all renal vessels with equal frequency, and this finding should be considered in screening procedures.
How Do Users Search the Mobile Web with a Clustering Interface?: A Longitudinal Study

Category-based search result organization holds promise as a means of facilitating mobile information access. This paper presents the results of a longitudinal user study that investigated how a mobile clustering interface is used to search the Web. The author describes the participants' search behavior and discusses the benefits and limitations of category-based result access. Study results show that category-based interaction was considered situationally useful, for example when the participants had problems describing their information need or needed to retrieve a subset of results. The paper proposes design guidelines for category-based mobile search interfaces. These include improved strategies for presenting the categories in the search interface, the need to improve the categorization methods to provide more representative category structures, and accounting for the contextual aspects of mobile information needs.
Early effects of fasting and of carbohydrate ingestion on lipids and lipoproteins of serum in man.

It is generally assumed that plasma lipoproteins function as carriers in the transport of fatty acids to and from the liver, fat depots, and peripheral tissues, but the roles of the various lipoprotein classes in this regard are not established. A previous study showed that the concentration of triglycerides in serum was lower several hours after the ingestion of a meal containing no fat than after an overnight fast (1). In the present study large quantities of glucose were fed to fasting young adults; the resulting alterations in various lipid constituents of ultracentrifugally separated lipoprotein classes were compared with changes observed during comparable periods of continued fasting. These comparisons showed that the concentrations of all major lipid constituents of the very low density lipoproteins of serum fall significantly after the ingestion of glucose. This finding suggests that very low density lipoproteins have a significant role in the transport of fatty acids derived from endogenous sources.
Aberration correction: zooming out to overview

In the structural characterization of thin specimens by projection (atomic column) imaging, the revolutionary development of aberration-corrected electron microscopy has already brought significant improvements not only in spatial resolution but also in improved image contrast. Some highlights from the symposium are summarized. Despite the purchasing and operating costs as well as the demands they place on operator skills, a staggering number of these new microscopes has already been installed worldwide. Serious challenges, therefore, arise including the need to attract customers from a wide range of disciplines where complex structure problems may require the development of new imaging modes. The ability to image at large scattering angles may be useful in mitigating some of the many as-yet uncorrected delocalization mechanisms that then arise and are systematically identified here. Larger specimen volumes made possible by chromatic aberration correction will benefit the development of more relevant in situ observations, particularly in materials science and catalysis. With additional incorporation of phase shifting electrodes or other devices, these chromatic aberration correctors could also be important for efficient phase contrast imaging in easily damaged biological structures. For many of these formidable problems, earlier experience of the optical microscopy community may teach some lessons.
Measuring Emotional Intelligence of Secondary School Students in Relation to Gender and Residence: an Empirical Study

In the age of zero-tolerance, virtual reality and ultramodern technology, the studying of human emotion has become so urgent that it demands our serious concentration for its scientific measurement. This present paper will make a thorough investigation in understanding the deeper interrelations between human emotion and intelligence. This article will also focus the emotional intelligence of secondary school students in relation to their gender and residential background. Emotional intelligence has been measured by applying Mondal’s Emotional Intelligence Inventory (MEII) consisted with 100 items. 235 samples were randomly selected from the district of Purulia, WB, India. ANOVA and‘t’ test has been applied for the interpretation of the findings. The results reveal that residential place plays a significant role for the enlargement of emotional development whereas gender does not affect the level of Emotional Intelligence.
Application of Schwarz-Christoffel Mapping to Permanent-Magnet Linear Motor Analysis

Several well-known analytical techniques exist for the force profile analysis of permanent-magnet linear synchronous motors. These techniques, however, make significant simplifications in order to obtain the magnetic field distribution in the air gap. From the field distribution, the force profile can be found. These widely used techniques provide a reasonable approximation for force profile analysis, but fail to give really accurate results in the sense of the exact shape of the force profile caused by effects that due to simplification are not fully included. To obtain the exact shape for the force profile in these cases, the computationally expensive finite-element method (FEM) is often applied. In this paper, an elegant semianalytical approach is presented to acquire the force profile. First, the magnetic field distribution in the air gap is determined by means of Schwarz-Christoffel (SC) mapping. The SC mapping allows a slotted structure of the machine to be mapped to a geometrically simpler domain for which analytic solutions are available. Subsequently, the field solution in the slotted structure can be determined by applying the mapping function to the field distribution in the simplified domain. From the resulting field distribution, the force profile is calculated by means of the Maxwell stress tensor. The results are compared with those from the commonly used equivalent magnetic circuit modeling and 2-D FEM software to demonstrate the accuracy which can be reached by application of the SC method.
Application of Weighted Fusion Algorithm in Air Tightness Detection Device

Gastightness testing plays an increasingly important role in ensuring the quality and performance of sealed products and the safety of their use. In this paper, a gas tightness detection scheme based on carbon dioxide gas sensor is proposed. The adaptive weighted fusion algorithm is used to fuse the weighted data collected by multiple carbon dioxide sensors to compensate for the error of single sensor test. The method is applied to leak detection of tracer gas, with high detection accuracy and wide range to meet production demand.
Interactive robogami: An end-to-end system for design of robots with ground locomotion

This paper aims to democratize the design and fabrication of robots, enabling people of all skill levels to make robots without needing expert domain knowledge. Existing work in computational design and rapid fabrication has explored this question of customization for physical objects but so far has not been able to conquer the complexity of robot designs. We have developed Interactive Robogami, a tool for composition-based design of ground robots that can be fabricated as flat sheets and then folded into 3D structures. This rapid prototyping process enables users to create lightweight, affordable, and materially versatile robots with short turnaround time. Using Interactive Robogami, designers can compose new robot designs from a database of print-and-fold parts. The designs are tested for the users’ functional specifications via simulation and fabricated on user satisfaction. We present six robots designed and fabricated using a 3D printing based approach, as well as a larger robot cut from sheet metal. We have also conducted a user study that demonstrates that our tool is intuitive for novice designers and expressive enough to create a wide variety of ground robot designs.