Miracle-dz/UniFAR-FTUs huggingface dataset:
Intake of carbohydrates during pregnancy in obese women is associated with fat mass in the newborn offspring.

BACKGROUND Transmission of obesity across generations is of concern. Offspring of obese women have short- and long-term increased morbidities. A high intake of carbohydrate during pregnancy combined with impaired glucose tolerance is postulated to result in high birth weight, which is linked to subsequent metabolic disease. OBJECTIVE The objective was to examine the association between carbohydrate intake in obese pregnant women and their offspring's body composition. DESIGN Secondary analyses were performed in an observational setting of 222 pregnant women with a pregestational BMI (in kg/m(2)) ≥30 participating in a randomized controlled trial. Diet was assessed at gestational weeks 11-14 and 36-37 by using a semiquantitative food-frequency questionnaire. Body composition in the offspring was assessed at birth by dual-energy X-ray absorptiometry. Relative fat mass (%) was the primary outcome. Absolute measures (total fat, abdominal fat, and lean body mass) were secondary outcomes. RESULTS Mean ± SD weight and absolute and relative fat mass in the offspring at birth were 3769 ± 542 g, 436 ± 214 g, and 11% ± 4%, respectively. Maternal intake of digestible carbohydrates was associated with the offspring's relative fat mass in late (P-trend = 0.006) but not early (P-trend = 0.15) pregnancy. A comparison of mothers in the highest (median: 238 g/d) compared with the lowest (median: 188 g/d) quartile of digestible carbohydrate intake showed a mean adjusted higher value in the offspring's relative fat mass of 2.1% (95% CI: 0.6%, 3.7%), which corresponded in absolute terms to a 103-g (95% CI: 27, 179-g) higher fat mass. Abdominal fat mass was also higher. In a strata of women with well-controlled glucose (2-h glucose values ≤6.6 mmol/L), no association between carbohydrate intake and offspring fat mass was observed, but the associations became significant and increased in strength with higher intolerance (strata with 2-h glucose values between 6.7-7.7 and ≥7.8 mmol/L). CONCLUSION In obese women, even those without gestational diabetes but with impaired glucose tolerance, a lower carbohydrate intake at moderate levels in late gestation is associated with a lower fat mass in their offspring at birth. The TOP study was registered at clinicaltrials.gov as NCT01345149.
The Neutralizing Activity of Anti-Hepatitis C Virus Antibodies Is Modulated by Specific Glycans on the E2 Envelope Protein

ABSTRACT Hepatitis C virus (HCV) envelope glycoproteins are highly glycosylated, with up to 5 and 11 N-linked glycans on E1 and E2, respectively. Most of the glycosylation sites on HCV envelope glycoproteins are conserved, and some of the glycans associated with these proteins have been shown to play an essential role in protein folding and HCV entry. Such a high level of glycosylation suggests that these glycans can limit the immunogenicity of HCV envelope proteins and restrict the binding of some antibodies to their epitopes. Here, we investigated whether these glycans can modulate the neutralizing activity of anti-HCV antibodies. HCV pseudoparticles (HCVpp) bearing wild-type glycoproteins or mutants at individual glycosylation sites were evaluated for their sensitivity to neutralization by antibodies from the sera of infected patients and anti-E2 monoclonal antibodies. While we did not find any evidence that N-linked glycans of E1 contribute to the masking of neutralizing epitopes, our data demonstrate that at least three glycans on E2 (denoted E2N1, E2N6, and E2N11) reduce the sensitivity of HCVpp to antibody neutralization. Importantly, these three glycans also reduced the access of CD81 to its E2 binding site, as shown by using a soluble form of the extracellular loop of CD81 in inhibition of entry. These data suggest that glycans E2N1, E2N6, and E2N11 are close to the binding site of CD81 and modulate both CD81 and neutralizing antibody binding to E2. In conclusion, this work indicates that HCV glycans contribute to the evasion of HCV from the humoral immune response.
Studies on anger and aggression. Implications for theories of emotion.

Describes a series of surveys on the everyday experience of anger, and a sample of data from these surveys is used to address a number of issues related to the social bases of anger. These issues include the connection between anger and aggression; the targets, instigations, and consequences of typical episodes of anger; the differences between anger and annoyance; and possible sex differences in the experience and/or expression of anger. However, the primary focus of the present paper is not on anger and aggression, but anger is used as a paradigm case to explore a number of issues in the study of emotion, including the advantages and limitations of laboratory research, the use of self-reports, the proper unit of analysis for the study of emotion, the relationship between human and animal emotion, and the authenticity of socially constituted emotional responses. (68 ref)
The Correlation of Urine Retinol Binding Protein-4 and Serum HbA1c with Glomerular Filtration Rate in Type 1 (Insulin-Dependent) Diabetic Children: A Perspective on the Duration of Diabetes

Objective: To analyze the correlation between urine retinol binding protein-4 (RBP-4) and serum HbA1c with glomerular filtration rate (GFR) in type 1 diabetic children. Methods: This was a crosssectional observational analytic study. The subjects were type 1 diabetic children aged 2 - 14 years. Sample collection was conducted from October to November 2014. Exclusion criteria were patients with obesity, renal insufficiency that was not caused by diabetes, history of hepatic diseases, and history of blood cell disorders. We performed anamnesis, physical examination, and blood sampling for serum HbA1c and serum cystatin-C, and urine sampling for RBP-4 on all subjects. Glomerular filtration rate was calculated from the concentration level of cystatin-C using Filler formula. Data analysis was performed by Spearman test to determine the correlation between urine RBP-4 and serum HbA1c with GFR. The Fisher’s exact test was used to determine the correlation between duration of diabetes and RBP-4, HbA1c, and also GFR. Results: Twelve females (60%) and 8 males (40%) participated in the study. The mean age of the subjects with 95% CI was: 10.5 (2 - 14) years while the mean age of duration diabetes with 95% CI: 3.8 (0.5 - 10) years. Twelve (60%) subjects had 1c with 95% CI: 8.9 (5.1 - 15.2)%. Thirteen (65%) subjects had poor metabolic. The mean GFR of the subjects with 95% CI: 99.3 (35.2 - 147.4) mL/1.73/m2. Nineteen (95%) subjects had normal GFR, while 1 (5%) had renal insufficiency. The results of data analysis using Spearman test on the correlation between urine RBP-4 and serum HbA1cwith GFR were not significant. The result of correlation between duration of diabetes and urine RBP-4 was significant using Fischer’s test. Conclusion: The results showed no correlation between urine RBP-4 and serum HbA1c with GFR. Urine RBP-4 could be considered to assess renal function in type 1 diabetic patients with a duration of diabetes of more than 5 years.
The Influence of Narrative v. Statistical Information on Perceiving Vaccination Risks

Background. Health-related information found on the Internet is increasing and impacts patient decision making, e.g. regarding vaccination decisions. In addition to statistical information (e.g. incidence rates of vaccine adverse events), narrative information is also widely available such as postings on online bulletin boards. Previous research has shown that narrative information can impact treatment decisions, even when statistical information is presented concurrently. Objectives. As the determinants of this effect are largely unknown, we will vary features of the narratives to identify mechanisms through which narratives impact risk judgments. Methods. An online bulletin board setting provided participants with statistical information and authentic narratives about the occurrence and nonoccurrence of adverse events. Experiment 1 followed a single factorial design with 1, 2, or 4 narratives out of 10 reporting adverse events. Experiment 2 implemented a 2 (statistical risk 20% vs. 40%) × 2 (2/10 vs. 4/10 narratives reporting adverse events) × 2 (high vs. low richness) × 2 (high vs. low emotionality) between-subjects design. Dependent variables were perceived risk of side-effects and vaccination intentions. Results. Experiment 1 shows an inverse relation between the number of narratives reporting adverse-events and vaccination intentions, which was mediated by the perceived risk of vaccinating. Experiment 2 showed a stronger influence of the number of narratives than of the statistical risk information. High (vs. low) emotional narratives had a greater impact on the perceived risk, while richness had no effect. Implications. The number of narratives influences risk judgments can potentially override statistical information about risk.
Inquire and Diagnose : Neural Symptom Checking Ensemble using Deep Reinforcement Learning

This work proposes a novel symptom checker: an ensemble neural network model that learns to inquire symptoms and diagnose diseases. The ensemble model consists of several small anatomical models that are responsible for different anatomical parts. Compared to the traditional single monolithic model approach, our ensemble approach obtains markedly higher disease-prediction accuracy.
Smart Grid Security : Innovative Solutions for a Modernized Grid

The Smart Grid security ecosystem is complex and multi-disciplinary, and relatively under-researched compared to the traditional information and network security disciplines. While the Smart Grid has provided increased efficiencies in monitoring power usage, directing power supplies to serve peak power needs and improving efficiency of power delivery, the Smart Grid has also opened the way for information security breaches and other types of security breaches. Potential threats range from meter manipulation to directed, high-impact attacks on critical infrastructure that could bring down regional or national power grids. It is essential that security measures are put in place to ensure that the Smart Grid does not succumb to these threats and to safeguard this critical infrastructure at all times. Dr. Florian Skopik is one of the leading researchers in Smart Grid security, having organized and led research consortia and panel discussions in this field. Smart Grid Security will provide the first truly holistic view of leading edge Smart Grid security research. This book does not focus on vendor-specific solutions, instead providing a complete presentation of forward-looking research in all areas of Smart Grid security. The book will enable practitioners to learn about upcoming trends, scientists to share new directions in research, and government and industry decision-makers to prepare for major strategic decisions regarding implementation of Smart Grid technology.Presents the most current and leading edge research on Smart Grid security from a holistic standpoint, featuring a panel of top experts in the field.Includes coverage of risk management, operational security, and secure development of the Smart Grid.Covers key technical topics, including threat types and attack vectors, threat case studies, smart metering, smart home, e- mobility, smart buildings, DERs, demand response management, distribution grid operators, transmission grid operators, virtual power plants, resilient architectures, communications protocols and encryption, as well as physical security.
What's the Best Factor to Determining Firm Value?

This study aims to determine the factors that affect the firm value in the LQ-45 Index companies in Indonesia. Independent variables in this study are company size, company age, capital structure, financial performance, and company profit. This research uses purposive sampling method and multiple regression analysis with total sample 108 from 2013-2016. The result of the research shows that company size will negatively affect firm value will have an adverse effect on the company's growth so that investor interest will tend to decrease. Company age influences firm value so that it can increase trust for an investor to invest. Capital structure influences firm value so it can reduce the impact on company expense and the level of debt. The financial performance affects the firm value will have an impact on the increase of investors in the company, corporate profits negatively affect the firm value so it should be able to increase further the company sales in generating profits to be distributed to shareholders. JEL Classification: G32 DOI: https://doi.org/10.26905/jkdp.v22i2. 1529
Learning by game-building in theoretical computer science education

It has been suggested that theoretical computer science (TCS) suffers more than average from a lack of intrinsic motivation. The reasons provided in the literature include the difficulty of the subject, lack of relevance to the informatics degree or future careers, and lack of enjoyment of the learning experience. This thesis presents evidence of these claims derived from the results of an expert survey. Increasing the students’ perceived control of the learning experience has been shown to increase student motivation in numerous different settings. A few of those also showed increased student performance. This thesis proposes that game-building can be such a setting for the area of TCS. Within the area of TCS, the focus will be on the modelling skills (finite state automata, push-down automata, Turing machines, CCS, etc.) since they form the majority of the curriculum at undergraduate level. It will be demonstrated how arbitrary TCS modelling skills can be mapped onto a game-building framework and allow the students to learn about the former by using the latter. It is hypothesized that the success of the approach depends on the amount of control given to the student. To test this claim, two experimental conditions were used in a repeated-measures design: (1) own-game and (2) pre-defined game. In the former, students are asked to write a game of their own, whereas in the latter, they are asked to copy a pre-defined game. A large demand for the own-game context was observed and results of its effect on performance and enjoyment are presented. Although no main effect of the owngame condition versus the pre-defined game condition was found in terms of either enjoyment or performance, some interesting interaction effects between condition and motivational type were unveiled.
Conceptual schema and relational database design - a fact oriented approach

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Customer Engagement: A comparison between Australian and French Wine Events

Dr. Steve Goodman University of Adelaide, Australia steve.goodman@adelaide.edu. au Abstract: ◦ Purpose: Given the popularity of Branded Marketing Events (BMEs) in the wine industry, this paper investigates their ability to facilitate customer brand engagement for the hosting wine brand, and consequently increase customer brand purchase intentions. An understanding of the influence of BMEs is investigated from a cross-cultural perspective, comparing the wine sectors and consumer wine culture within Australia (new world wine) and France (old world wine).
Using Message Strategy to Drive Consumer Behavioral Engagement on Social Media

This study aims to examine how message strategy influences consumer behavioral engagement in social media. To this end, the study develops a comprehensive typology of branded content in social media and tests for its effect on consumer behavioral engagement. ,A sample of brand posts derived from the official Facebook pages of top corporate brands was double-coded using an elaborate coding instrument. Message strategy was operationalized using three main message strategies (i.e. informational, transformational and interactional) and their paired combinations. Consumer behavioral engagement was operationalized using consumer actions of liking and sharing brand posts. Proposed relationships were tested with MANCOVA and univariate ANOVAs. ,Results indicate that the transformational message strategy is the most powerful driver of consumer behavioral engagement, while no significant difference is observed between the informational and the interactional message strategies. Further, complementing the informational and interactional message strategies with the transformational message strategy markedly enhances their effectiveness. ,Useful managerial guidance to develop effective message strategies is offered. In particular, the importance of transformational messages, both as a standalone and a complementary message strategy, is underscored. By mastering and deploying transformational messages more frequently in their social media communication, marketers could improve their effectiveness. ,Drawing on a theory-driven typology, this study sheds light on how message strategy shapes consumer behavioral engagement in a social media context. Importantly, the study documents pioneering empirical evidence regarding the effect of combined message strategies on consumer behavioral engagement.
Semantic Infrastructure for Service Environment Supporting Successful Aging

Demographic changes and the rapid increase of aging people are occurring throughout the world. There is a need for step-by-step developing service environment to support elderly living as old as possible at home. Digital equipment and technology solutions installed at home produce real-time data which can be used for predictive and optimized service creation. New technology solutions have to be tested at home environments to get certainty of usability, flexibility, and accessibility. The implementation of new digitalization has to happen according to ethical rules taking into account the values of elderly people. The data gathered through digital equipment is used in optimizing service processes. However, service process misses common ontology and semantic infrastructure to use the gathered data for service optimization. The service environment and semantic infrastructure, which could be used in social and health care, are introduced in this article.
Framework for financial hardship indebtedness management in abandoned housing projects in Malaysia

Purpose This paper aims to examine the existing practices and pertinent issues affecting Islamic banks and their customers in abandoned housing projects (AHPs) to ensure compliance with Sharīʿah and statutory requirements. Design/methodology/approach This study employs the qualitative research method using the inductive approach to analyze both primary and secondary data and sources. Data collection involved a series of semi-structured interviews with five volunteering Islamic banks and a representative of Abandoned Property Owners Association Malaysia (Victims). Statutory acts, regulatory policies, guidelines, directives and standards were also analyzed. Findings The result indicates developer’s default, underlying contracts, regulatory arbitrage and bureaucracy, attitudinal disposition of customers and sell-then-build approach as major factors of AHP’s conundrum. Practical implications This study has suggested both short- and long-term solutions based on the principles of justice, public interests and removal of hardship to resolve and effectively manage financial hardship indebtedness arising from housing abandonment. Further, part of the proposed solutions would also reshape housing development policies and home financing transactions. Originality/value The quest for this research demonstrated Islamic banking industry’s initiatives to find lasting solutions to perennial issues of AHPs.
Predictive Control for Low-Voltage Ride-Through Enhancement of Three-Level-Boost and NPC-Converter-Based PMSG Wind Turbine

In this paper, a predictive control scheme is proposed for the low-voltage ride-through (LVRT) enhancement of direct-driven permanent-magnet-synchronous-generator-based megawatt-level wind turbines. The proposed method uses the turbine-generator rotor inertia to store the surplus energy during the grid voltage dips. The power conversion system is realized using a three-phase diode-bridge rectifier, a three-level-boost converter, and a neutral-point-clamped (NPC) inverter. The wind turbine requirements, such as maximum power point tracking, net dc-bus voltage control, balancing of the dc capacitor voltages, and reactive power generation, are modeled as the reference control variables. The generator- and grid-side cost functions are defined to deal with these control objectives. During each sampling interval, the control goals are achieved based on the minimization of cost functions. The coordination of boost and NPC converters and the exchange of reference control variables during normal and LVRT operation are formulated such that the power converters operate in a safe mode while meeting the grid code requirements. Simulation and experimental results are presented to validate the proposed strategy.
Nanoscale capacitance imaging with attofarad resolution using ac current sensing atomic force microscopy

Nanoscale capacitance imaging with attofarad resolution (∼1 aF) of a nano-structured oxide thin film, using ac current sensing atomic force microscopy, is reported. Capacitance images are shown to follow the topographic profile of the oxide closely, with nanometre vertical resolution. A comparison between experimental data and theoretical models shows that the capacitance variations observed in the measurements can be mainly associated with the capacitance probed by the tip apex and not with positional changes of stray capacitance contributions. Capacitance versus distance measurements further support this conclusion. The application of this technique to the characterization of samples with non-voltage-dependent capacitance, such as very thin dielectric films, self-assembled monolayers and biological membranes, can provide new insight into the dielectric properties at the nanoscale.