Miracle-dz/UniFAR-FTUs huggingface dataset:
Implications for psychedelic-assisted psychotherapy: functional magnetic resonance imaging study with psilocybin.

BACKGROUND Psilocybin is a classic psychedelic drug that has a history of use in psychotherapy. One of the rationales for its use was that it aids emotional insight by lowering psychological defences. AIMS To test the hypothesis that psilocybin facilitates access to personal memories and emotions by comparing subjective and neural responses to positive autobiographical memories under psilocybin and placebo. METHOD Ten healthy participants received two functional magnetic resonance imaging scans (2 mg intravenous psilocybin v. intravenous saline), separated by approximately 7 days, during which they viewed two different sets of 15 positive autobiographical memory cues. Participants viewed each cue for 6 s and then closed their eyes for 16 s and imagined re-experiencing the event. Activations during this recollection period were compared with an equivalent period of eyes-closed rest. We split the recollection period into an early phase (first 8 s) and a late phase (last 8 s) for analysis. RESULTS Robust activations to the memories were seen in limbic and striatal regions in the early phase and the medial prefrontal cortex in the late phase in both conditions (P<0.001, whole brain cluster correction), but there were additional visual and other sensory cortical activations in the late phase under psilocybin that were absent under placebo. Ratings of memory vividness and visual imagery were significantly higher after psilocybin (P<0.05) and there was a significant positive correlation between vividness and subjective well-being at follow-up (P<0.01). CONCLUSIONS Evidence that psilocybin enhances autobiographical recollection implies that it may be useful in psychotherapy either as a tool to facilitate the recall of salient memories or to reverse negative cognitive biases.
Expertise Development of Hospitality Students: Do Personality, Emotional Intelligence, and Learning Style Matter?

ABSTRACT Personality, emotional intelligence, and learning style are generally considered important success factors and career determinants in hospitality management. This study assesses the influence of these antecedents on the development of expertise in hospitality management. Correlational, ANOVA and hierarchical regression analyses demonstrated that (a) There is limited growth on cognitive performance measures while students are in school, however performance increases after a period in the workplace; (b) Personality, learning style and emotional intelligence showed zero to low correlations with cognitive performance; and (c) Extroversion, conscientiousness, emotional management and theorist learning style showed moderate positive correlations with several performance measures. The findings are partially in alignment with previous studies showing that personality, emotional intelligence and learning style play a role in expertise development in hospitality. It might be concluded that personality, emotional intelligence and learning style do seem important, they are not as important as has been argued in previous research.
Leakage Inductance Calculation for Planar Transformers With a Magnetic Shunt

The magnetic shunt is generally inserted in a planar transformer to increase the leakage inductance, which can be utilized as the series inductor in resonant circuits such as the LLC resonant converter. This paper presents a calculation methodology for the leakage inductance of the transformer with a magnetic shunt by means of the stored magnetic energy in the primary and secondary sides of the transformer using the magnetomotive force (MMF) variation method, as well as the stored energy in the shunt based on the reluctance model. The detailed calculation method is described. Both the finite-element analysis simulation and the experimental results have proven the validity of the proposed calculation method for leakage inductance.
Improving Diabetes Care in Rural Areas: A Systematic Review and Meta-Analysis of Quality Improvement Interventions in OECD Countries

Background and Aims Despite well documented disparities in health and healthcare in rural communities, evidence in relation to quality improvement (QI) interventions in those settings is still lacking. The main goals of this work were to assess the effectiveness of QI strategies designed to improve diabetes care in rural areas, and identify characteristics associated with greater success. Methods We conducted a systematic review and meta-analysis. Systematic electronic searches were conducted in MEDLINE, EMBASE, CINAHL, and 12 additional bibliographic sources. Experimental studies carried out in the OECD member countries assessing the effectiveness of QI interventions aiming to improve diabetes care in rural areas were included. The effect of the interventions and their impact on glycated hemoglobin was pooled using a random-effects meta-analysis. Results Twenty-six studies assessing the effectiveness of twenty QI interventions were included. Interventions targeted patients (45%), clinicians (5%), the health system (15%), or several targets (35%), and consisted of the implementation of one or multiple QI strategies. Most of the interventions produced a positive impact on processes of care or diabetes self-management, but a lower effect on health outcomes was observed. Interventions with multiple strategies and targeting the health system and/or clinicians were more likely to be effective. Six QI interventions were included in the meta-analysis (1,496 patients), which showed a significant reduction in overall glycated hemoglobin of 0.41 points from baseline in those patients receiving the interventions (95% CI -0.75% to -0.07%). Conclusions This work identified several characteristics associated with successful interventions to improve the quality of diabetes care in rural areas. Efforts to improve diabetes care in rural communities should focus on interventions with multiple strategies targeted at clinicians and/or the health system, rather than on traditional patient-oriented interventions.
Effect Of Different Dietary Items On The Growth Of African Catfish Hybrid Heterobranchus Bidorsalis (♂) X Clarias Gariepinus

This paper describes the growth response of the developmental stages of hybrid catish resulting rom the crossing of Heterobranchus bidorsalis (male) and Clarias gariepinus (female), fed with different feed rations. Hatchlings of the hybrid catfish were cultured in plastic aquaria set up at thefish hatchery complex, Nnamdi Azikiwe University, Awka. The hatchlings were fed and observed for91 days. Different food items such as artificially compounded feed, zooplankton / live organisms Moina sp and Brachionus sp, and a mixture of zooplankton (Moina sp and Brachionus sp) and artificially compounded feed were administered. The mixture gave the best result with a mean weight o 792g ±2.73g folowed by those fed Moina sp (1.93g± 0.27) and Brachionus sp (1.80g ±0.32) respectively. Hatchlings fed only artificially compounded feed exhibitedthe poorest growth. A mixture of live food organisms and artcially compounded feed is thus recommended for better growth response of catfish hybrid, (H. bidorsalis ♂ x C. gariepinus ♀). Keywords : Catfish hybrid, Hatchlings, Juveniles, Diet, Growth Animal Research International Vol. 4 (2) 2007 pp. 662-665
PetStore-WS: Measuring the Performance Implications of Web Services

Web Services are increasingly used to enable loosely coupled integration among heterogeneous systems but are perceived as a source of severe performance degradation. This paper looks at the impact on system performance when introducing Web Service interfaces to an originally tightly coupled application. Using two implementation variants of Sun’s Java Pet Store application, one based strictly on the J2EE platform and the other implementing some interfaces as Web Services, performance is compared in terms of the achieved overall throughput, response times and latency.
Geographic Distribution of Disruptions in Weighted Complex Networks: An Agent-Based Model of the U.S. Air Transportation Network

International networks, although highly efficient, may produce surprising threshold effects that shift costs to geographically distant locations. International utility, transportation, and information networks facilitate the efficient flow of information, energy, goods and people. These networks exhibit a scale-free network structure with a few large “hubs”. Yet their efficiency belies their lack of robustness. Because such networks transcend national boundaries, furthermore, disruptions to the network in one geographic region may have profound economic and national security costs for countries in another region. To illustrate how complex networks may transmit costs among countries, this paper builds an agent-based model (ABM) of the international air transportation system. The ABM employs a genetic algorithm to identify “small” disruptions that produce cascading network failures. The study makes two contributions. First, it demonstrates how some complex networks evolve into network structures that trade off robustness for efficiency. Second, it illustrates how researchers can combine agent-based modeling, evolutionary computation, and network analysis to simulate differing failure modes for global networks. This convergence of simulation methodologies characterizes the emerging field of computational social science.
A Proteomic Study on Molecular Mechanism of Poor Grain-Filling of Rice (Oryza sativa L.) Inferior Spikelets

Cultivars of rice (Oryza sativa L.), especially of the type with large spikelets, often fail to reach the yield potential as expected due to the poor grain-filling on the later flowering inferior spikelets (in contrast to the earlier-flowering superior spikelets). The present study showed that the size and grain weight of superior spikelets (SS) was greater than those of inferior spikelets (IS), and the carbohydrate supply should not be the major problem for the poor grain-filling because there was adequate amount of sucrose in IS at the initial grain-filling stage. High resolution two-dimensional gel electrophoresis (2-DE) in combination with Coomassie-brilliant blue (CBB) and Pro-Q Diamond phosphoprotein fluorescence stain revealed that 123 proteins in abundance and 43 phosphoproteins generated from phosphorylation were significantly different between SS and IS. These proteins and phosphoproteins were involved in different cellular and metabolic processes with a prominently functional skew toward metabolism and protein synthesis/destination. Expression analyses of the proteins and phosphoproteins associated with different functional categories/subcategories indicated that the starch synthesis, central carbon metabolism, N metabolism and cell growth/division were closely related to the poor grain-filling of IS. Functional and expression pattern studies also suggested that 14-3-3 proteins played important roles in IS poor grain-filling by regulating the activity of starch synthesis enzymes. The proteome and phosphoproteome obtained from this study provided a better understanding of the molecular mechanism of the IS poor grain-filling. They were also expected to be highly useful for improving the grain filling of rice.
Non-Cooperative Support for the Asymmetric Nash Bargaining Solution

We study a model of non-cooperative multilateral unanimity bargaining on a full-dimensional payoff set. The probability distribution with which the proposing player is selected in each bargaining round follows an irreducible Markov process. If a proposal is rejected, negotiations break down with an exogenous probability and the next round starts with the complementary probability. As the risk of exogenous breakdown vanishes, stationary subgame perfect equilibrium payoffs converge to the weighted Nash bargaining solution with the stationary distribution of the Markov process as the weight vector.
A logit analysis of electronic banking in New Zealand

Purpose – In this paper the competitive landscape of financial institutions is shifting and internet banking is no longer a competitive advantage but a competitive necessity for banks. However, a limited number of empirical studies have been published in the marketing literature about electronic banking. This paper seeks to examine consumers' choices between electronic banking and non‐electronic banking in New Zealand.Design/methodology/approach – The paper shows that the data for this analysis were obtained through a mail survey sent to 1,960 households in New Zealand. The decision to use electronic banking is hypothesised to be a function of service quality dimensions, perceived risk factors, user input factors, price factors, service product characteristics, individual factors and demographic variables such as age, gender, marital status, income, etc. Logistic regression is used to analyse the data. The discrete dependent variable measures whether an individual is an electronic banking or non‐electroni.
Association of CYP17, CYP19, CYP1B1, and COMT Polymorphisms with Serum and Urinary Sex Hormone Concentrations in Postmenopausal Women

Women with high circulating estrogen concentrations have an increased risk of breast cancer; thus, it is important to understand factors, including genetic variability, that influence estrogen concentrations. Several genetic polymorphisms that may influence sex hormone concentrations have been identified, including CYP17 (5′-untranslated region T→C), CYP19 [intron 4 (TTTA)n = 7–13 and a 3-bp deletion (−3)], CYP1B1 (Val432Leu), and COMT (Val108/158Met). We examined associations between these polymorphisms and serum concentrations of estrogens, androgens, and sex hormone-binding globulin and urinary concentrations of 2- and 16α-hydroxyestrone in 171 postmenopausal women, using data from the prerandomization visit of an exercise clinical trial. Participants were sedentary, not taking hormone therapy, and had a body mass index >24.0. Compared with noncarriers, women carrying two CYP19 7r(−3) alleles had 26% lower estrone (P < 0.001), 19% lower estradiol (P = 0.01), 23% lower free estradiol (P = 0.01), and 22% higher sex hormone-binding globulin concentrations (P = 0.06). Compared with noncarriers, women carrying at least one CYP19 8r allele had 20% higher estrone (P = 0.003), 18% higher estradiol (P = 0.02), and 21% higher free estradiol concentrations (P = 0.01). Women with the COMT Met/Met genotype had 28% higher 2-hydroxyestrone (P = 0.08) and 31% higher 16α-hydroxyestrone concentrations (P = 0.02), compared with Val/Val women. Few associations were found for CYP17 and CYP1B1 or with serum androgen concentrations. This study provides further evidence that genetic variation may appreciably alter sex hormone concentrations in postmenopausal women not taking hormone therapy.
High Energy Cosmic Ray Effects on Terrestrial Atmospheric Chemistry

Washburn University, Department of Physics and Astronomy, Topeka, KS 66621,United States of AmericaE-mail: melott@ku.eduAbstract. A variety of events such as gamma-ray bursts and supernovae may exposethe Earth to an increased ux of high-energy cosmic rays, with potentially importante ects on the biosphere. Existing atmospheric chemistry software does not have thecapability of incorporating the e ects of substantial cosmic ray ux above 10 GeV. Anatmospheric code, the NASA-Goddard Space Flight Center two-dimensional (latitude,altitude) time-dependent atmospheric model (NGSFC), is used to study atmosphericchemistry changes. We have created a table that, with the use of the NGSFC code, canbe used to simulate the e ects of high energy cosmic rays (10 GeV - 1 PeV) ionizingthe atmosphere. By interpolation, the table can be used to generate values for otheruses which depend upon atmospheric energy deposition by ensembles of high-energycosmic rays. We discuss the table, its use, weaknesses, and strengths.
Tools for Real-Time Control Systems Co-Design - A Survey

This report presents a survey of current simulation tools in the area of integrated control and real-time systems design. Each tool is presented with a quick overview followed by a more detailed section describing comparative aspects of the tool. These aspects describe the context and purpose of the tool (scenarios, development stages, activities, and qualities/constraints being addressed) and the actual tool technology (tool architecture, inputs, outputs, modeling content, extensibility and availability). The tools presented in the survey are the following; Jitterbug and TrueTime from the Department of Automatic Control at Lund University, Sweden, AIDA and XILO from the Department of Machine Design at the Royal Institute of Technology, Sweden, Ptolemy II from the Department of Electrical Engineering and Computer Sciences at Berkeley, California, RTSIM from the RETIS Laboratory, Pisa, Italy, and Syndex and Orccad from INRIA, France. The survey also briefly describes some existing commercial tools related to the area of real-time control systems. (Less)
Experimental study on the correlation between TNF-α and cardiac function in coronary heart disease

To inquire into the change of the concentration of inflammatory factors (TNF-a, IL-1, IL-6) in blood plasma of rats with myocardial ischemia, which was the syndrome of Qi deficiency and Blood Stasis syndrome. The accompanying cardiac function also be investigated, relationship between them are analyzed. Rats were divided into either LAD surgery group or sham operation group randomly. Syndromes associated physical and chemical indexes were measured at 4, 7, 28, 45 and 60 days after surgery. Compared with sham operation group, The concentration of IL-1, IL-6 and TNF-a in model group all obviously changed, EF, FS changed obviously, which decreased by 63.44% and 76.67% respectively, and the express of TNF-α and LVEDs, LVEDd presented negative correlation, with the deteriorate of cardiac function, it increased. We can conclude that in earlier stage of the Syndrome of Qi deficiency and blood stasis, inflammatory cytokines especially TNF-α play a vital role that contribute the pathology mechanism, TNF-α which has a negative correlation with cardiac function, can be used as indicators of inflammatory activation and can reflect the state of cardiac function. Current data indicate that plasma levels of inflammatory markers especially TNF-α may have clinical utility in helping identify and cure individuals at high risk for future blood stasis syndrome.
Evolution of Neuroplasticity in Response to Physical Activity in Old Age: The Case for Dancing

From animal research, it is known that combining physical activity with sensory enrichment has stronger and longer-lasting effects on the brain than either treatment alone. For humans dancing has been suggested to be analogous to such combined training. Here we assessed whether a newly designed dance training program that stresses the constant learning of new movement patterns is superior in terms of neuroplasticity to conventional fitness activities with repetitive exercises and whether extending the training duration has additional benefits. Twenty-two healthy seniors (63–80 years) who had been randomly assigned to either a dance or a sport group completed the entire 18-month study. MRI, BDNF and neuropsychological tests were performed at baseline and after 6 and 18 months of intervention. After 6 months, we found a significant increase in gray matter volume in the left precentral gyrus in the dancers compared to controls. This neuroplasticity effect may have been mediated by the increased BDNF plasma levels observed in the dancers. Regarding cognitive measures, both groups showed significant improvements in attention after 6 months and in verbal memory after 18 months. In addition, volume increases in the parahippocampal region were observed in the dancers after 18 months. The results of our study suggest that participating in a long-term dance program that requires constant cognitive and motor learning is superior to engaging in repetitive physical exercises in inducing neuroplasticity in the brains of seniors. Therefore, dance is highly promising in its potential to counteract age-related gray matter decline.
A Heuristic-Based Approach to Identify Concepts in Execution Traces

Concept or feature identification, i.e., the identification of the source code fragments implementing a particular feature, is a crucial task during software understanding and maintenance. This paper proposes an approach to identify concepts in execution traces by finding cohesive and decoupled fragments of the traces. The approach relies on search-based optimization techniques, textual analysis of the system source code using latent semantic indexing, and trace compression techniques. It is evaluated to identify features from execution traces of two open source systems from different domains, JHotDraw and ArgoUML. Results show that the approach is always able to identify trace segments implementing concepts with a high precision and, for highly cohesive concepts, with a high overlap with the manually-built oracle.
Depressive Symptoms in Adolescence: Consequences, Mechanisms, & School-based Prevention Efforts

A substantial number of adolescents experience pronounced emotional, social, and behavioral problems during the transition from childhood to adulthood. Depressive symptoms are among the most common mental health problems during adolescence (Costello, Erkanli, & Angold, 2006), and are associated with high relapse and recurrence rates (Lewinsohn, Clarke, Seeley, & Rohde, 1994) as well as a variety of comorbid disorders (Bettge et al., 2008). Depressive problems in adolescence are further associated with a number of adjustment difficulties (e.g., interpersonal problems, academic difficulties), affecting young individuals’ lives in various environments. Whereas the association between the family environment and depressive symptoms in adolescence has received much attention in previous research, research interest in the role of the school environment has been less pronounced. Although prior research has provided valuable knowledge about factors associated with depressive symptomatology in adolescence and has offered several effective depression prevention programs, a multitude of questions still remain unanswered. Combining theoretical and methodological approaches from clinical psychology, educational science, and developmental psychology, the present dissertation aimed to contribute new and important insights into depressive symptomatology in adolescence, acknowledging the importance of school as a developmental context. Specifically, the dissertation addresses (a) consequences of adolescent depression (and anxiety) in the school context, (b) factors that might influence the effectiveness of (school-based) depression prevention programs, and (c) mechanisms driving alterations in processing of social information in adolescents with depressive symptomatology. Study 1 examined the academic (reading achievement, mathematics achievement) and social (self-rated acceptance, peer-rated acceptance, teacher-rated acceptance, relationship with parents) development of adolescents with compared to without internalizing problems (i.e., symptoms of depression and anxiety). N = 1,062 students were assessed annually from fifth through eighth grade. The results suggest a significant disadvantage across all investigated functioning domains for students with internalizing problems at fifth grade. The results further showed that students with internalizing problems either fail to compensate for this disadvantage over time (in mathematics