Miracle-dz/UniFAR-FTUs huggingface dataset:
Variable serum immunoglobulin responses against different Borrelia burgdorferi sensu lato species in a population at risk for and patients with Lyme disease

Borrelia burgdorferi sensu lato species display considerable antigenic polymorphism. In order to evaluate the importance of this antigenic heterogeneity in the serodiagnosis of Lyme disease, the serum immunoglobulin G response in 148 healthy individuals from an area in northern Sweden where Lyme disease is endemic and in 40 American patients with Lyme disease was assessed. In a seroprevalence study, the control group included 173 individuals from a region of northern Sweden where Lyme disease is not endemic. The two enzyme immunoassays used were based on outer membrane-associated proteins of either B. burgdorferi sensu stricto or Borrelia garinii. The Swedish populations were also screened for antiflagellum seroreactivity. The individuals from the area of endemicity were significantly more seropositive for the subcellular protein fraction of the local B. garinii isolate NBS16 than the control group (11.5 versus 2.9%; P = 0.005) but were not significantly more positive for the other antigens used. In contrast, American patients with Lyme disease were significantly more reactive against the North American B. burgdorferi sensu stricto strain B31 than against B. garinii NBS16 (57.5 versus 15.0%; P = 0.0001). Immunoblot analysis suggests that the borrelial outer surface protein C is involved in triggering the production of species-specific antibody during localized Lyme disease. We conclude that a species-specific immune response develops during infection with Lyme disease Borrelia spp. Thus, the reliability of a serological investigation of Lyme disease increases when one measures antibody titers against the outer membrane proteins of Lyme disease Borrelia spp. occurring in a particular geographic region.
Using and Extending WordNet to Support Question-Answering

Over the last few years there has been increased research in automated question-answering from text, including questions whose answer is implied, rather than explicitly stated, in the text. WordNet has played a central role in many such systems (e.g., 21 of the 26 teams in the recent PASCAL RTE3 challenge used WordNet), and thus WordNet is being increasingly stretched to play more semantic tasks in applications. As part of our current research, we are exploring some of the new demands which question-answering places on WordNet, and how it might be further extended to meet them. In this paper, we present some of these new requirements, and some of the extensions that we are currently making to WordNet in response.
Achieving positive change for children? Reducing the length of child protection proceedings: lessons from England and Wales

Court decisions are required to remove children, compulsorily, from their families, and approve permanent care arrangements which restrict or terminate parents’ rights. The children involved are mostly young, have experienced serious abuse or neglect and may require permanent placement away from their parent(s) for their remaining childhoods. In England and Wales, justice to parents has dominated the rhetoric about these proceedings; this has resulted in lengthy proceedings, long periods of uncertainty for children and reduced placement options. In order to reduce delays, reforms in England and Wales have set a time limit for the completion of care proceedings. The Children and Families Act 2014 limits proceedings to 26 weeks; approximately 60% of care proceedings are now completed within this period. This article will discuss the impact of these reforms on decision-making for children, questioning whether they achieve both good decisions for children and justice for families. It uses the findings of an ESRC-funded study: ‘Establishing outcomes of care proceedings for children before and after care proceedings reform (2015–2018)’.
Efficiency Analysis of Multicast Routing Algorithms in Large Networks

The paper presents the research results of multicast heuristic algorithms. The paper is an extension of previous publications presented in [14, 15] that discussed small network structures reflecting real Internet topology. It approaches basic methods of generating the Internet topology - Waxman method and the Barabasi-Albert method. A performance study of multicast trees constructed by the algorithms is carried out and analysed, also with the heuristic network generator - Inet.
The global expansion of a single ant supercolony

Ants are among the most damaging invasive species, and their success frequently arises from the widespread cooperation displayed by introduced populations, often across hundreds of kilometers. Previous studies of the invasive Argentine ant (Linepithema humile) have shown that introduced populations on different continents each contain a single, vast supercolony and, occasionally, smaller secondary colonies. Here, we perform inter‐continental behavioral analyses among supercolonies in North America, Europe, Asia, Hawaii, New Zealand and Australia and show that these far‐flung supercolonies also recognize and accept each other as if members of a single, globally distributed supercolony. Furthermore, populations also possess similar genetic and chemical profiles. However, these ants do show aggression toward ants from South Africa and the smaller secondary colonies that occur in Hawaii and California. Thus, the largest and most dominant introduced populations are likely descended from the same ancestral colony and, despite having been established more than 100 years ago, have diverged very little. This apparent evolutionary stasis is surprising because, in other species, some of the most rapid rates of evolutionary change have occurred in introduced populations. Given the spatial extent of the Argentine ant society we report here, there can be little doubt that this intercontinental supercolony represents the most populous known animal society.
On the Behavior of Proposers in Ultimatum Games

We demonstrate that one should not expect convergence of the proposals to the subgame perfect Nash equilibrium offer in standard ultimatum games. First, imposing strict experimental control of the behavior of the receiving players and focusing on the behavior of the proposers, we show experimentally that proposers do not learn to make the expected-payoff-maximizing offer. Second, considering a range of learning theories (from optimal to boundedly rational), we explain that this is an inherent feature of the learning task faced by the proposers, and we provide some insights into the actual learning behavior of the experimental subjects. This explanation for the lack of convergence to the subgame perfect Nash equilibrium in ultimatum games complements most alternative explanations.
Social capital, motivations, and knowledge sharing intention in health Q&A communities

Purpose Although health question-and-answer (Q&A) communities have become popular in recent years, only a few communities have successfully retained and motivated their members to share knowledge. The purpose of this paper is to focus on the ways by which social capital and motivation influence knowledge sharing intention from the perspectives of health professionals and normal users in health Q&A communities. Design/methodology/approach The developed theoretical model integrates individual motivation and social capital theories. On the basis of a sample comprising 363 members from health Q&A communities in China, the authors tested the hypotheses by using structural equation modeling. Findings This study empirically finds that social capital positively affects intrinsic and extrinsic motivations, which then positively influence the intention of health professionals and normal users to share knowledge. Motivations of members fully mediate the effects of social capital on knowledge sharing intention. Specifically, intrinsic motivation influences knowledge sharing intention more for health professionals than for normal users, whereas extrinsic motivation influences knowledge sharing intention more for normal users than for health professionals. Originality/value This study explores the factors that affect the intentions of sharing knowledge in health Q&A communities by integrating social capital and motivation theories. Individual motivations can then bridge social capital and knowledge sharing intention. The effects of the intrinsic and extrinsic motivations of two user types were further examined and compared. These findings can extend the understanding of the underlying drivers of intention to share knowledge in the context of e-health.
Effects of varying gonadotrophin dose and timing on antrum formation and ovulation efficiency of mouse follicles in vitro.

BACKGROUND This study tested factors affecting mouse follicle growth in vitro, to determine end-points marking follicle function in vitro. METHODS Pre-antral follicles (mean 137 microm) from B6CBF1 mice were cultured in a substrate-adherent system for < or = 14 days. FSH (0-1000 mIU/ml) day of HCG (1.5 IU/ml days 9-14) protein supplement [fetal calf serum (FCS) (x2) mouse serum (x2) hypogonadal (hpg) mouse serum or human serum albumin (HSA)] were varied. Follicle survival timing of antrum formation incidence of ovulation within 16,24,40,48 h of HCG oocyte growth were assessed. RESULTS FSH (100 mIU/ml) produced the best antral development (P < 0.001 versus 10 and 1000 mIU/ml). Antra were observed from day 5. Transient antra formed occasionally in the absence of FSH. By 14 days significant senescence had occurred (P < 0.001) but the proportion of follicles ovulating within 16 h of HCG declined from day 9 onwards indicating this to be a more sensitive marker of follicle responsiveness. Optimal growth occurred in 5% FCS (x2) or hpg mouse serum although fewer follicles ovulated in hpg serum (P < 0.05). No normal growth occurred in normal mouse serum (x2) or HSA. Oocytes grew to full size within 9 days with 100 mIU/ml FSH FCS. CONCLUSIONS These data provide sensitive end-points for assessing follicle growth in vitro.
Lifelong Learning in Christian Vocation: Being Equipped for Every Good Work

Lives of faith are often experienced as uneven journeys composed of wilderness wanderings, desert temptations, daily joys and sorrows, and occasional epiphanies (cf. Chryssavgis, 2000). Little scholarship, however, has been devoted to understanding how faith and work interact over the course of an individual’s career. Considering how strands of faith and work are woven together over time can help business students anticipate possible challenges and life stages ahead, appreciate the disciplines that contribute to spiritual formation, and learn from others who have preceded them. Attention to the intertwining of faith and work beyond college is an expression of lifelong learning consistent with and unique to the mission of many Christian higher education institutions.
Optimizations and Performance Study of the Dynamic Source Routing Protocol

We have conducted a performance study of the DSR protocol, in particular, for scenarios where it presents poor performance compared to that of AODV protocol. We have also carried out two optimizations on DSR, namely: generalized salvaging mechanism and cache update of the intermediate nodes with source routes discovered during the route request packets propagation. Our routing protocol, called GSM-DSR (generalized salvaging mechanism for DSR), is compared with AODV and DSR, and performance results are presented in this paper. We show, through simulations, that the salvaging optimization and the cache update do lead to an improvement of DSR performance, particularly, in large scale networks with high mobility and heavy load.
Analysis of disk scheduling, increasing subsequences and space-time geometry

We consider the problem of estimating the average tour length of the asymmetric TSP arising from the disk scheduling problem with a linear seek function and a probability distribution on the location of I/O requests. The optimal disk scheduling algorithm of Andrews, Bender and Zhang is interpreted as a simple peeling process on points in a 2 dimensional space-time w.r. t the causal structure. The patience sorting algorithm for finding the longest increasing subsequence in a permutation can be given a similar interpretation. Using this interpretation we show that the optimal tour length is the length of the maximal curve with respect to a Lorentzian metric on the surface of the disk drive. This length can be computed explicitly in some interesting cases. When the probability distribution is assumed uniform we provide finer asymptotics for the tour length. The interpretation also provides a better understanding of patience sorting and allows us to extend a result of Aldous and Diaconis on pile sizes
Primary antiphospholipid syndrome: a low-grade auto-inflammatory disease?

OBJECTIVE To test the inflammation and immune activation hypothesis in primary thrombotic APS (PAPS) and to identify clinical and laboratory factors related to inflammation and immune activation. METHODS PAPS (n = 41) patients were compared with patients with inherited thrombophilia (IT, n = 44) and controls (CTR, n = 39). IgG aCL, IgG anti-beta2-glycoprotein I (beta(2)GPI), high-sensitivity CRP (hs-CRP), serum amyloid A (SAA), CRP bound to oxidized low-density lipoprotein-beta(2)GPI complex (CRP-oxLDL-beta(2)GPI) (as inflammatory markers) neopterin (NPT), soluble CD14 (sCD14) (as immune activation markers) were measured by ELISA. RESULTS After correction for confounders, PAPS showed higher plasma levels of hs-CRP (P = 0.0004), SAA (P < 0.01), CRP-oxLDL-beta(2)GPI (P = 0.0004), NPT (P < 0.0001) and sCD14 (P = 0.007) than IT and CTR. Two regression models were applied to the PAPS group: in the first, IgG aCL and IgG beta(2)GPI were included amongst the independent variables and in the second they were excluded. In the first model, SAA (as the dependent variable) independently related to thrombosis number (P = 0.003); NPT (as the dependent variable) independently related to thrombosis type (arterial, P = 0.03) and number (P = 0.04); sCD14 (as the dependent variable) independently related to IgG beta(2)GPI (P = 0.0001), age (0.001) and arterial thrombosis (P = 0.01); CRP-oxLDL-beta(2)GPI (as the dependent variable) independently related to IgG beta(2)GPI (P = 0.0001). In the second model, sCD14 and NPT independently related to each other (P = 0.002) (this was noted also in the IT group, P < 0.0001) and CRP-oxLDL-beta(2)GPI independently predicted SAA (P = 0.002). CONCLUSION Low-grade inflammation and immune activation occur in thrombotic PAPS and relate to clinical features and aPL levels.
Do Personality Traits Predict Individual Differences in Excitatory and Inhibitory Learning?

Conditioned inhibition (CI) is demonstrated in classical conditioning when a stimulus is used to signal the omission of an otherwise expected outcome. This basic learning ability is involved in a wide range of normal behavior – and thus its disruption could produce a correspondingly wide range of behavioral deficits. The present study employed a computer-based task to measure conditioned excitation and inhibition in the same discrimination procedure. CI by summation test was clearly demonstrated. Additionally summary measures of excitatory and inhibitory learning (difference scores) were calculated in order to explore how performance related to individual differences in a large sample of normal participants (n = 176 following exclusion of those not meeting the basic learning criterion). The individual difference measures selected derive from two biologically based personality theories, Gray’s (1982) reinforcement sensitivity theory and Eysenck and Eysenck (1991) psychoticism, extraversion, and neuroticism theory. Following the behavioral tasks, participants completed the behavioral inhibition system/behavioral activation system (BIS/BAS) scales and the Eysenck personality questionnaire revised short scale (EPQ-RS). Analyses of the relationship between scores on each of the scales and summary measures of excitatory and inhibitory learning suggested that those with higher BAS (specifically the drive sub-scale) and higher EPQ-RS neuroticism showed reduced levels of excitatory conditioning. Inhibitory conditioning was similarly attenuated in those with higher EPQ-RS neuroticism, as well as in those with higher BIS scores. Thus the findings are consistent with higher levels of neuroticism being accompanied by generally impaired associative learning, both inhibitory and excitatory. There was also evidence for some dissociation in the effects of behavioral activation and behavioral inhibition on excitatory and inhibitory learning respectively.
Combined Auditory Warnings For Driving-Related Information

Designing appropriate auditory warnings is a well-known challenge. The present work focuses on a new type of auditory warning for within-vehicle use, combining a signal that conveys urgency information with a signal that conveys more detailed information about the urgent event. In the study, three concepts of "combined warnings" are compared. The concepts differ in terms of the sound type used to convey event information. The results support the usefulness and potential of combined warnings. However, using information sounds that are too abstract can have a severe degrading effect on warning efficiency and cognitive effort. Interestingly, these abstract sounds may also negatively impact the user's ability to respond accurately to the urgency level of the warning.
Reduced endothelial nitric oxide synthase expression and production in human atherosclerosis.

BACKGROUND NO regulates vascular tone and structure, platelets, and monocytes. NO is synthesized by endothelial NO synthase (eNOS). Endothelial dysfunction occurs in atherosclerosis. METHODS AND RESULTS With a porphyrinic microsensor, NO release was measured in atherosclerotic human carotid arteries and normal mammary arteries obtained during surgery. eNOS protein expression was analyzed by immunohistochemistry. In normal arteries, the initial rate of NO release after stimulation with calcium ionophore A23187 (10 micromol/L) was 0.42+/-0.05 (micromol/L)/s (n=10). In contrast, the initial rate of NO release was markedly reduced in atherosclerotic segments, to 0.08+/-0.04 (micromol/L)/s (n=10, P<0.0001). NO peak concentration in normal arteries was 0.9+/-0.09 micromol/L (n=10) and in atherosclerotic segments, 0.1+/-0.03 micromol/L (n=10, P<0.0001). Reduced NO release in atherosclerotic segments was accompanied by marked reduction of immunoreactive eNOS in luminal endothelial cells, although specific endothelial cell markers (CD31) were present (n=13). Endothelial cells of vasa vasorum of atherosclerotic segments, however, remained positive for eNOS, as was the endothelium of normal arteries. CONCLUSIONS In clinically relevant human atherosclerosis, eNOS protein expression and NO release are markedly reduced. This may be involved in the progression of atherosclerosis.
Improvement in Depressive Symptoms Is Associated with Reduced Oxidative Damage and Inflammatory Response in Type 2 Diabetic Patients with Subsyndromal Depression: The Results of a Randomized Controlled Trial Comparing Psychoeducation, Physical Exercise, and Enhanced Treatment as Usual

Aims. To examine one-year changes in oxidative damage and inflammation level in type 2 diabetic patients undergoing behavioral treatment for subsyndromal depression. Materials and Methods. A randomized controlled comparison of psychoeducation (A), physical exercise (B), and enhanced treatment as usual (C) was performed in 209 eligible subjects in a tertiary diabetes care setting. Depressive symptoms (primary outcome) and selected biomarkers of oxidative damage and inflammation (secondary outcomes) were assessed at baseline and six- and twelve-month follow-up. Results. Out of the 74, 67, and 68 patients randomised into groups A, B, and C, respectively, 201 completed the interventions, and 179 were analysed. Participants in all three groups equally improved in depressive symptoms from baseline to one-year follow-up (repeated measures ANOVA; F = 12.51, p < 0.0001, η 2 = 0.07). Urinary 8-oxo-deoxyguanosine (u-8-oxodG) decreased (F = 10.66, p < 0.0001, η 2 = 0.06), as did sialic acid and leukocytes (F = 84.57, η 2 = 0.32 and F = 12.61, η 2 = 0.07, resp.; p < 0.0001), while uric acid increased (F = 12.53, p < 0.0001, η 2 = 0.07) in all subjects during one year. Improvement of depressive symptoms at 6 months significantly predicted one-year reduction in u-8-oxodG (β = 0.15, p = 0.044). Conclusion. Simple behavioral interventions are capable not only of alleviating depressive symptoms, but also of reducing the intensity of damaging oxidative/inflammatory processes in type 2 diabetic patients with subsyndromal depression. This trial is registered with ISRCTN05673017.
An Overview of Automated Scoring of Essays.

Automated Essay Scoring (AES) is defined as the computer technology that evaluates and scores the written prose (Shermis & Barrera, 2002; Shermis & Burstein, 2003; Shermis, Raymat, & Barrera, 2003). AES systems are mainly used to overcome time, cost, reliability, and generalizability issues in writing assessment (Bereiter, 2003; Burstein, 2003; Chung & O’Neil, 1997; Hamp-Lyons, 2001; Myers, 2003; Page, 2003; Rudner & Gagne, 2001; Rudner & Liang, 2002; Sireci & Rizavi, 1999; http://people.emich.edu). AES continue attracting the attention of public schools, universities, testing companies, researchers and educators (Burstein, Kukich, Wolff, Lu, & Chodorow, 1998; Shermis & Burstein, 2003; Sireci & Rizavi, 1999). The main purpose of this article is to provide an overview of current approaches to AES. After describing the most widely used AES systems (i.e., Project Essay Grader (PEG), Intelligent Essay Assessor (IEA), E-rater and Criterion, IntelliMetric and MY Access, and Bayesian Essay Test Scoring System (BETSY)), main characteristics of these systems will be discussed and current issues regarding the use of them both in low-stakes assessment (in classrooms) and high-stakes assessment (as standardized tests) will be discussed in this article.
Comparison of various fuzzy clustering algorithms in the detection of ROI in lung CT and a modified kernelized-spatial fuzzy c-means algorithm

The detection of pulmonary nodules in radiological images or Computed Tomography has been widely researched in the field of medical image analysis, because it is a highly complicated but socially interesting matter. The classical approach consists in the development of a CAD system that indicates in phases the presence or absence of nodules. One of these phases is the detection of regions of interest that may be nodules, with the aim of reducing the problem area. This article evaluates various fuzzy clustering algorithms that represent current tendencies in the field, and proposes a new algorithm. The algorithms were evaluated with high resolution CTs from the Lung Internet Database Consortium.
Irrigation cooling effect: Regional climate forcing by land‐use change

Regional detection of a greenhouse warming signal relies on extensive, long‐term measurements of temperature. The potentially confounding impact of land‐cover and land‐use change on trends in temperature records has mostly focused on the influence of urban heat islands. Here we use a regional climate model to show that a regional irrigation cooling effect (ICE) exists, opposite in sign to urban heat island effects. The magnitude of the ICE has strong seasonal variability, causing large dry‐season decreases in monthly mean and maximum temperatures, but little change in rainy‐season temperatures. Our model produced a negligible effect on monthly minimum temperature. In California, the modeled regional ICE is of similar magnitude, but opposite sign, to predictions for future regional warming from greenhouse gases. Given our results for California and the global importance of irrigated agriculture, past expansion of irrigated land has likely affected observations of surface temperature, potentially masking the full warming signal caused by greenhouse gas increases.