Miracle-dz/UniFAR-FTUs huggingface dataset:
Folate status of Ghanaian populations in London and Accra

Migration to the UK is associated with higher incidence of stroke in African populations. A low folate status has been associated with increased risk of stroke, likely to be mediated through raised plasma homocysteine concentrations. We conducted a cross-sectional study to compare blood folate and homocysteine concentrations in eighty healthy Ghanaian migrants living in London matched by sex, age and occupation to 160 individuals from an urban population in Accra, Ghana. Folate intake was determined using three 24 h recalls. Fasting blood samples were collected for the determination of serum and erythrocyte folate and plasma homocysteine concentrations and the methylenetetrahydrofolate reductase (MTHFR) 677C → T polymorphism. Reported mean folate intake was 20 % lower in London compared with Accra (P < 0·001). However, serum folate was 44 % higher, erythrocyte folate 30 % higher and plasma homocysteine was 26 % lower in subjects from London compared with those from Accra (P < 0·001). These differences persisted after adjusting for confounders including the MTHFR 677C → T mutation, which was rare in both populations. Although there were no associations between dietary folate intake and blood folates (P>0·05), folic acid supplement use, which was more prevalent in London than Accra (25 and 10 %, respectively, P = 0·004) was associated with erythrocyte folate in both populations (P < 0·01). The main predictors of plasma homocysteine concentrations were erythrocyte folate and male sex (P < 0·001). Findings from the present study suggest that migration from Ghana to the UK results in improvement of biomarkers of folate status despite the fact that reported dietary intake of folate was apparently lower in subjects from London.
The impact of proactivity, leader-member exchange, and climate for innovation on innovative behavior in the Korean government sector

Purpose In the current business environment, no organization is assured of survival without continuous innovation. Employees’ innovative behavior is critical to enhance the innovation of an organization. While most literature on innovative behavior has focused on employees in the private sector, the purpose of this paper is to explore the factors that affect innovative behaviors in the government sector. In particular, it examines how proactivity, leader-member exchange (LMX), and climate for innovation affect employees’ innovative behavior in the Korean government sector, which is generally characterized as highly hierarchical, structured, and formalized. Design/methodology/approach The authors selected a sample of government employees in the Ministry of Education in Korea. Through the researchers’ contacts, ten government agencies agreed to recruit their employees to participate in the study. Data from 1,011 respondents were analyzed in two steps using structural equation modeling. First, to examine the construct validity of the measures, the authors examined the measurement model using the confirmatory factor analysis. Second, the interrelationships among the four variables were assessed. The hypothesized structural model was examined and compared to several alternative models to explore the best model fit to the data. The authors then examined the regression coefficients to determine the hypothesized relationships in the final structured model. Findings The results revealed the following: proactivity and climate for innovation had positive relationships with innovative behavior; LMX had a positive relationship with proactivity although it did not have a direct relationship with innovative behavior; and organizational climate for innovation did not ensure proactivity of employees. Originality/value The antecedents included in this research have been studied in relation to innovative behavior in several studies, but studies have called for further study. Few studies have examined innovative behavior in the public sector and they have examined innovation in the public sector which has mostly been focused on environmental factors surrounding government organizations or policy choices of government leaders while ignoring the individual traits of public workers, relational dynamics among people, and the cultural aspects of the organizations. This study investigated the interrelationships among the antecedents in the process of impacting innovative behavior in the public sector in Korea. In addition, little research has examined the antecedents of innovative behavior together. This study expands our knowledge of the roles and interrelationships of proactivity, LMX, and organizational climate for innovation as they relate to innovative behavior.
Teaching Metacognition Experientially

We investigated the effects of using experiential learning and direct instruction to teach metacognitive theory and to determine whether instructional type differentially affected higher vs. lower level learning. We randomly assigned 87 introductory psychology students to either experiential learning or direct instruction conditions. We pretested participant’s knowledge of metacognitive theory, and then participants received either experiential or direct instruction, after which they completed a posttest of knowledge of metacognitive theory. After covarying prior knowledge, data suggested that experiential learning may be more effective than direct instruction for teaching metacognitive theory, particularly for higher level recall and recognition assessments. Our results suggest that when taught using experiential learning, students may process information at a deeper level and recall more information because they may have related new information to their past experiences, engaged in the course material, and may have increased self-efficacy for the learned material.
A Survey of Techniques for Event Detection in Twitter

Twitter is among the fastest‐growing microblogging and online social networking services. Messages posted on Twitter (tweets) have been reporting everything from daily life stories to the latest local and global news and events. Monitoring and analyzing this rich and continuous user‐generated content can yield unprecedentedly valuable information, enabling users and organizations to acquire actionable knowledge. This article provides a survey of techniques for event detection from Twitter streams. These techniques aim at finding real‐world occurrences that unfold over space and time. In contrast to conventional media, event detection from Twitter streams poses new challenges. Twitter streams contain large amounts of meaningless messages and polluted content, which negatively affect the detection performance. In addition, traditional text mining techniques are not suitable, because of the short length of tweets, the large number of spelling and grammatical errors, and the frequent use of informal and mixed language. Event detection techniques presented in literature address these issues by adapting techniques from various fields to the uniqueness of Twitter. This article classifies these techniques according to the event type, detection task, and detection method and discusses commonly used features. Finally, it highlights the need for public benchmarks to evaluate the performance of different detection approaches and various features.
Heterogeneity in Beliefs and Volatility Tail Behavior

Abstract We propose a model of volatility tail behavior in which investors display aversion to both low-volatility and high-volatility states, and hence, the derived pricing kernel exhibits an increasing and decreasing region in the volatility dimension. The model features investors who have heterogeneity in beliefs about volatility outcomes and maximize their utility by choosing volatility-contingent cash flows. Our empirical examination suggests that the model is better suited to reproduce data features in the left tail of the volatility distribution, both qualitatively and quantitatively.
Complementary approaches to organizational ethics

Recent research demonstrates that, in ethically relevant tasks, individuals base intentionality judgments on action outcomes, rather than mental states only. In a first place, the current thesis extends those findings to responsibility judgments and examines affective and attitudinal characteristics moderating the relationship between outcomes and moral judgment. At a second place, the current thesis discusses ethical organizational activity with a focus on intensified ethical behavior enacted following involvement in heavy unethical activity. In so doing, the current thesis intends to problematize the extent to which motivation behind such organizational attitudes is genuinely trying to compensate for the negative effects of organizational wrong-doing. At the same time, the current thesis examines human perception of the above mentioned organizational efforts to compensate for corporate malfeasance. We discuss the implications of our findings for understanding ethical decision making and ethical judgments, offering theoretical directions for future research and managerial implications.
A FAST Pattern Matching Algorithm

The advent of digital computers has made the routine use of pattern-matching possible in various applications. This has also stimulated the development of many algorithms. In this paper, we propose a new algorithm that offers improved performance compared to those reported in the literature so far. The new algorithm has been evolved after analyzing the well-known algorithms such as Boyer-Moore, Quick-search, Raita, and Horspool. The overall performance of the proposed algorithm has been improved using the shift provided by the Quick-search bad-character and by defining a fixed order of comparison. These result in the reduction of the character comparison effort at each attempt. The best- and the worst- case time complexities are also presented in this paper. Most importantly, the proposed method has been compared with the other widely used algorithms. It is interesting to note that the new algorithm works consistently better for any alphabet size.
Phase I trial evaluating the antiviral agent Cidofovir in combination with chemoradiation in cervical cancer patients

Purpose This phase I trial aimed to assess the safety and determine the recommended Phase II dose (RP2D) of Cidofovir combined with chemoradiotherapy in patients with stage IB2-IVA cervical cancer. Experimental design Incremental doses (1, 2.5, 5 and 6.5 mg/kg) of IV Cidofovir were administered weekly for two weeks, and then every 2 weeks from the start of chemoradiotherapy to the initiation of utero-vaginal brachytherapy. Biological expression of HPV was analyzed during treatment and tumor response was assessed according to RECIST v1.0 criteria. Results A total of 15 patients were treated with Cidofovir. Dose-limiting toxicities occurred in 2/6 patients at the 6.5 mg/kg dose level (G3 proteinuria, and G3 acute pyelonephritis with G3 febrile neutropenia). No toxicity occurred at the 5 mg/kg dose level, but only 3 patients received this dose due to trial interruption because of low accrual. The most frequent G3-4 adverse effects observed during the trial were: abdominal pain (n=3), infection (n=2), leuckoneutropenia (n=2), and others (n=6). No toxic death or major renal side effect occurred. The best response was that 8/9 evaluable patients achieved a complete response (89%). In the intention to treat population, the 2-year overall and progression-free survival rates were 93% and 76%, respectively. Biological monitoring of HPV-related markers (decreased p16 expression, and increased p53 and pRb levels) was possible on sequential tumor biopsy samples. The genomic alterations identified were PIK3CA (n=5; one also had a KRAS mutation), and HRAS (n=1) mutations. Conclusion Cidofovir at a dose of 5mg/kg combined with chemoradiotherapy appeared tolerable and yielded tumor regressions. Due to early trial interruption, the RP2D was not confirmed.
Closed-loop spatial modulation with antenna selection

The closed-loop scheme of spatial modulation (SM), which feeds back the selected transmit antenna subsets to the transmitter, is presented to overcome the constraint in SM that the number of transmit antennas has to be a power of two. This scheme outperforms the classic SM due to the limited feedback information. Motivated by reducing the receiver's complexity of this scheme, some mathematical characteristics of the joint transmit/receive antenna selection algorithm implemented in this paper are exploited.
Routing in Delay-Tolerant Networks Comprising Heterogeneous Node Populations

Communication networks are traditionally assumed to be connected. However, emerging wireless applications such as vehicular networks, pocket-switched networks, etc., coupled with volatile links, node mobility, and power outages, will require the network to operate despite frequent disconnections. To this end, opportunistic routing techniques have been proposed, where a node may store-and-carry a message for some time, until a new forwarding opportunity arises. Although a number of such algorithms exist, most focus on relatively homogeneous settings of nodes. However, in many envisioned applications, participating nodes might include handhelds, vehicles, sensors, etc. These various "classesrdquo have diverse characteristics and mobility patterns, and will contribute quite differently to the routing process. In this paper, we address the problem of routing in intermittently connected wireless networks comprising multiple classes of nodes. We show that proposed solutions, which perform well in homogeneous scenarios, are not as competent in this setting. To this end, we propose a class of routing schemes that can identify the nodes of "highest utilityrdquo for routing, improving the delay and delivery ratio by four to five times. Additionally, we propose an analytical framework based on fluid models that can be used to analyze the performance of various opportunistic routing strategies, in heterogeneous settings.
Bregman Divergences and Triangle Inequality

While Bregman divergences have been used for clustering and embedding problems in recent years, the facts that they are asymmetric and do not satisfy triangle inequality have been a major concern. In this paper, we investigate the relationship between two families of symmetrized Bregman divergences and metrics that satisfy the triangle inequality. The first family can be derived from any well-behaved convex function. The second family generalizes the Jensen-Shannon divergence, and can only be derived from convex functions with certain conditional positive definiteness structure. We interpret the required structure in terms of cumulants of infinitely divisible distributions, and related results in harmonic analysis. We investigate kmeans-type clustering problems using both families of symmetrized divergences, and give efficient algorithms for the same.
It’s not fair: Folk intuitions about disadvantageous and advantageous inequity aversion

People often object to inequity; they react negatively to receiving less than others (disadvantageous inequity aversion), and more than others (advantageous inequity aversion). Here we study people’s folk intuitions about inequity aversion: what do people infer about others’ fairness concerns, when they observe their reactions to disadvantageous or advantageous inequity? We hypothesized that, people would not intuitively regard disadvantageous inequity aversion by itself as being rooted in fairness, but they would regard advantageous inequity aversion by itself as being rooted in fairness. In four studies, we used vignettes describing inequity aversion of a made up alien species to assess people’s folk intuitions about inequity aversion. The studies supported our main hypothesis that disadvantageous inequity aversion, without advantageous inequity aversion, does not fit people’s folk conception of fairness. Instead, participants reported it to be rooted in envy. According to these results, the claim that disadvantageous inequity aversion reveals a concern with fairness, does not readily accord with people’s intuitions. We connect these findings to other pieces of evidence in the literatures of behavioral economics, developmental psychology, and social psychology, indicating that lay people’s intuitions may be on the mark in this case. Specifically, unlike advantageous inequity aversion, disadvantageous inequity aversion need not be rooted in a sense of fairness.
Common Genetic Variation in ABCA1 Is Associated With Altered Lipoprotein Levels and a Modified Risk for Coronary Artery Disease

Background — Low plasma HDL cholesterol (HDL-C) is associated with an increased risk of coronary artery disease (CAD). We recently identified the ATP-binding cassette transporter 1 (ABCA1) as the major gene underlying the HDL deficiency associated with reduced cholesterol efflux. Mutations within the ABCA1 gene are associated with decreased HDL-C, increased triglycerides, and an increased risk of CAD. However, the extent to which common variation within this gene influences plasma lipid levels and CAD in the general population is unknown. Methods and Results — We examined the phenotypic effects of single nucleotide polymorphisms in the coding region of ABCA1. The R219K variant has a carrier frequency of 46% in Europeans. Carriers have a reduced severity of CAD, decreased focal (minimum obstruction diameter 1.81±0.35 versus 1.73±0.35 mm in noncarriers, P =0.001) and diffuse atherosclerosis (mean segment diameter 2.77±0.37 versus 2.70±0.37 mm, P =0.005), and fewer coronary events (50% versus 59%, P =0.02). Atherosclerosis progresses more slowly in carriers of R219K than in noncarriers. Carriers have decreased triglyceride levels (1.42±0.49 versus 1.84±0.77 mmol/L, P =0.001) and a trend toward increased HDL-C (0.91±0.22 versus 0.88±0.20 mmol/L, P =0.12). Other single nucleotide polymorphisms in the coding region had milder effects on plasma lipids and atherosclerosis. Conclusions — These data suggest that common variation in ABCA1 significantly influences plasma lipid levels and the severity of CAD.
Biomonitoring the Cooked Meat Carcinogen 2-Amino-1-Methyl-6-Phenylimidazo[4,5-b]Pyridine in Hair: Impact of Exposure, Hair Pigmentation, and Cytochrome P450 1A2 Phenotype

Background: Hair is a promising tissue to assess exposure to 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP), a carcinogen formed in cooked meats. However, an understanding of how dietary exposure to PhIP, cytochrome P450 1A2 activity—a key enzyme involved in PhIP metabolism, and hair pigmentation affect the level of PhIP accrued in hair is required to determine the reliability of the PhIP hair level as a biomarker of exposure to this carcinogen. Methods: We examined the impact of PhIP exposure, cytochrome P450 1A2 activity, and hair pigmentation on the levels of PhIP accumulated in the hair of volunteers on a 4-week semicontrolled diet of cooked meat containing known quantities of PhIP. Results: The amount of PhIP in hair increased, on average, 15-fold in light- and dark-haired individuals during consumption of cooked meat. PhIP levels in hair were correlated to PhIP intake (ρ = 0.53; P < 0.001), and the relationship was strengthened when PhIP levels were normalized for the melanin content of hair (ρ = 0.71; P < 0.001). However, PhIP accrual in hair was not correlated to cytochrome P450 1A2 activity, as assessed by the caffeine test, or to the levels of unmetabolized PhIP in urine or to the metabolic ratio of the major urinary metabolite N2-(β-1-glucosiduronyl-2-(hydroxyamino)-1-methyl-6-phenylimidazo[4,5-b]pyridine to unmetabolized PhIP. Conclusions: The use of the PhIP hair biomarker should take hair pigmentation into account for accurate exposure assessment of PhIP. Impact: PhIP hair levels can serve as a biomarker in epidemiologic studies investigating the association of heterocyclic aromatic amine (HAA), cooked meat, and cancer risk. Cancer Epidemiol Biomarkers Prev; 22(3); 356–64. ©2013 AACR.
Biochemical and immunological analysis of rapidly purified 10-nm filaments from baby hamster kidney (BHK-21) cells

Juxtanuclear birefringent caps (FC) containing 10-nm filaments form during the early stages of baby hamster kidney (BHK-21) cell spreading. FC are isolated from spreading cells after replating by treatment with 0.6 M KCl, 1% Triton X-100 (Rohm & Haas Co., Philadelphia, Pa.) and DNase I in phosphate-buffered saline. Purified FC are birefringent and retain the pattern of distribution of 10-nm filaments that is seen in situ. Up to 90% of the FC protein is resolved as two polypeptides of approximately 54,000 and 55,000 molecular weight on sodium dodecyl sulfate (SDS) polyacrylamide gels. The protein is immunologically and biochemically distinct from tubulin as determined by indirect immunofluorescence, double immunodiffusion, one-dimensional peptide mapping by limited proteolysis in SDS gels, and amino acid analysis. The BHK-21 FC amino acid composition, however, is very similar to that obtained for 10-nm filament protein derived from other sources including brain and smooth muscle. Partial disassembly of 10-nm filaments has been achieved by treatment of FC with 6 mM sodium- potassium phosphate buffer, pH 7.4. The solubilized components assemble into distinct 10-nm filaments upon the addition of 0.171 M sodium chloride.
The meaning of trans* in a family context

Though research into gender transition has grown in the social sciences and policy has turned its attention to the rights of trans* people, the social and family environment in which gender transition takes place is often overlooked. Based on qualitative data from two projects in Belgium and Spain addressing the experiences of parents and children undertaking a gender transition, this article explores the experiences of these families. First, we look into the reflective processes that take place within these families. Second, we look into the experience of stigmatisation and the relationship between trans* families and health professionals. These findings have implications for trans* families as well as for policy makers and trans* health professionals.
GIRDER-END CRACKING IN PRESTRESSED I-GIRDERS

The objective of this study was to develop an analytical method for predicting the vertical stresses that are created in the end of prestressed concrete I-girders during early age. It is believed that the two factors contributing principally to this are the restrained thermal expansion and contraction during hydration, and the transfer of the prestressing force. A finite element model was developed using ANSYS (v5.4, 1999) to analyze the residual stress development during hydration. A model created by Gergely and Sozen (1967) was modified to analyze the vertical tensile stresses created during the transfer of the prestressing force. The transfer of the prestressing force was found to create vertical tensile stress of around 2.3 MPa. This value is less than 50% of typical MOR values, and would not likely cause cracking. However, when this value is considered in conjunction with the residual stresses created due to heat of hydration and curing, cracking can be expected to occur.
Towards a Theoretical Model for Software Growth

Software growth (and more broadly, software evolution) is usually considered in terms of size or complexity of source code. However in different studies, usually different metrics are used, which make it difficult to compare approaches and results. In addition, not all metrics are equally easy to calculate for a given source code, which leads to the question of which one is the easiest to calculate without losing too much information. To address both issues, in this paper present a comprehensive study, based on the analysis of about 700,000 C source code files, calculating several size and complexity metrics for all of them. For this sample, we have found double Pareto statistical distributions for all metrics considered, and a high correlation between any two of them. This would imply that any model addressing software growth should produce this Pareto distributions, and that analysis based on any of the considered metrics should show a similar pattern, provided the sample of files considered is large enough.