Miracle-dz/UniFAR-FTUs huggingface dataset:
A psychobiographical analysis of Brian

The suggestion of a relationship between creativity and mental disorder has existed for centuries, and has been advocated by many psychological researchers. The present analysis offers a consideration of the nature of mental disorder present in Brian Wilson, an individual recognised as one of the most creative figures in 20th century popular music. Using converging biographical evidence, and the diagnostic program Opcrit, Wilson’s diagnosis is concluded to be schizoaffective. Employing details of his drug abuse, various models of schizoaffective spectra are examined, in particular a reconsideration of the LSD model of schizophrenia. The model is shown to be useful for positive schizophrenic symptoms including overinclusion, a potentially key element of creativity. In doing so, this psychobiographical analysis allows examination of potential relationships between mental disorder and creativity, the effects of various narcotics on creativity and various elements of mental disorder, the efficacy of various drug models of psychotic disorders, and the overlap between psychotic and affective disorders.
Research Brief: 'Twitter' as a New Research Tool: Proof of Principle with a Mass Participation Test of Remote Viewing

The social networking site ‘Twitter’ was used to conduct a mass participation remote viewing ESP study. The easy accessibility of Twitter made it possible to recruit and engage a large number of participants, and to give them almost immediate feedback. A majority voting technique was used to combine participants’ calls, to avoid stacking effects and to detect any group-level psi effect. For each trial an experimenter visited the target location. Blind judging was conducted with photographs of the target location and four decoy locations. Over five thousand responses were gathered over five trials. The first trial employed a non-blind judging procedure to test the hypothesis that believers would be especially likely to exhibit confirmation bias. As predicted, a significant relationship was found between belief in psychic ability and level of perceived correspondence between the participants’ impressions and the target location. The following four trials used blind judging. On each trial the group failed to identify the correct target. There was no significant relationship between belief in psychic ability and choice of target on any of the trials. Participants reporting a strong belief in psychic ability identified the correct target on one trial (exact binomial p = .41). Those participants who reported that they believed they were psychic and were confident of their response failed to identify the correct target on any trial.
New Drug Diffusion when Forward-Looking Physicians Learn from Patient Feedback and Detailing

The authors study physicians’ prescription choices when uncertainty about drug efficacy is resolved through two channels: firms’ marketing activities (e.g., detailing) and patients’ experiences with the drugs. They first provide empirical evidence that suggests that the well-understood information incentive for physicians to experiment with new drugs is reduced when physicians anticipate future detailing. Therefore, increased detailing activity triggers opposing forces: Adoption is hastened as physicians become informed (assuming prior knowledge is initially low) and slows as they reduce experimentation and instead obtain information from detailing at no cost. The authors then estimate a dynamic Bayesian learning model that embodies these trade-offs using physician-level data on prescription choices and detailing received in the months surrounding the introduction of two erectile dysfunction drugs, Levitra and Cialis. Detailing elasticities are lower when physicians anticipate changes in detailing activity than when such changes are unexpected. Accordingly, the authors conclude that to maximize the effect of detailing, firms should avoid announcing increases in detailing activities.
Biocompatibility of graphene oxide intravenously administrated in mice—effects of dose, size and exposure protocols

Graphene oxide (GO) shows great promise in in vivo drug delivery and therapy applications. However, several reports have reported an in vivo toxicity of GO. In this study, we found that the toxicity of GO intravenously injected into mice could be tuned by dose, size and exposure protocols of GO. The exposure to a single dose of 2.1 mg kg−1 (single-high-dose exposure) small size GO or large size GO caused macrophage nodule formation in the lungs of the mice, and the exposure to seven repeated doses of 0.3 mg kg−1 (multiple-low-dose exposure) large size GO also induced small macrophage nodule formation, serious lymphocyte infiltration around the bronchioles in the lungs of the mice, and even death of the mice. Nephritic inflammatory reactions were also observed after the multiple-low-dose exposure to large size GO. However, no obvious lung toxicity but hepatic inflammatory infiltration was observed after the exposure to multiple-low-dose small size GO. GO accumulation in the macrophage nodules was verified by Raman mapping. These findings will benefit the applications of GO in the future, especially in biomedical fields.
H I Self-Absorption and the Kinematic Distance Ambiguity: The Case of the Molecular Cloud GRSMC 45.6+0.3

We report on a three-dimensional (l, b, VLSR) physical association of H I self-absorption with 13CO emission toward the Galactic molecular cloud GRSMC 45.6+0.3. Photochemical models indicate that a significant column density of cool (T ≲ 25 K) H I exists in the skins (Av ≲ 2) of typical Galactic molecular clouds. The H I self-absorption can thus be produced by the cool cloud skin absorbing the warm (TSPIN ~ 100 K) background H I emission that is ubiquitously distributed throughout the Galaxy. Liszt, Burton, and Bania have suggested that because cool H I in a molecular cloud will absorb warmer H I background line emission, H I self-absorption can be used to resolve the kinematic distance ambiguity for molecular clouds in the inner Galaxy. Clouds at the near distance should show H I self-absorption, whereas clouds at the far distance will not since there is no background to absorb. The near kinematic distance of 1.8 kpc for the GRSMC 45.6+0.3 molecular cloud is independently confirmed by its morphological correlation with foreground optical extinction.
Giant Electric Field Tuning of Magnetic Properties in Multiferroic Ferrite/Ferroelectric Heterostructures

Multiferroic heterostructures of Fe3O4/PZT (lead zirconium titanate), Fe3O4/PMN‐PT (lead magnesium niobate‐lead titanate) and Fe3O4/PZN‐PT (lead zinc niobate‐lead titanate) are prepared by spin‐spray depositing Fe3O4 ferrite film on ferroelectric PZT, PMN‐PT and PZN‐PT substrates at a low temperature of 90 °C. Strong magnetoelectric coupling (ME) and giant microwave tunability are demonstrated by a electrostatic field induced magnetic anisotropic field change in these heterostructures. A high electrostatically tunable ferromagnetic resonance (FMR) field shift up to 600 Oe, corresponding to a large microwave ME coefficient of 67 Oe cm kV−1, is observed in Fe3O4/PMN‐PT heterostructures. A record‐high electrostatically tunable FMR field range of 860 Oe with a linewidth of 330–380 Oe is demonstrated in Fe3O4/PZN‐PT heterostructure, corresponding to a ME coefficient of 108 Oe cm kV−1. Static ME interaction is also investigated and a maximum electric field induced squareness ratio change of 40% is observed in Fe3O4/PZN‐PT. In addition, a new concept that the external magnetic orientation and the electric field cooperate to determine microwave magnetic tunability is brought forth to significantly enhance the microwave tunable range up to 1000 Oe. These low temperature synthesized multiferroic heterostructures exhibiting giant electrostatically induced tunable magnetic resonance field at microwave frequencies provide great opportunities for electrostatically tunable microwave multiferroic devices.
Addressing the uncertainties associated in assessing the impacts of climate change on agricultural crop production using model simulations

Projections of current and future (SRES A2) climates from the three GCMs (ECHAM5, GFDL CM 2.1 and HadCM3) in the Couple Model Intercomparison Project (CMIP3) database assessed by IPCC were selected to study the impacts of climate change on paddy rice yields over India. Model projections are important way to study the potential impacts of future projected climate change on crop production. Such assessments are subjected to a range of uncertainties arising from climate and crop models, initial conditions and emissions. On the basis of uncertainties in the impact assessment, this article summarizes the sources of uncertainty and methods focusing on processing the uncertainties. Peculiar to this exercise is to improve the level of confidence in assessment of climate change impacts on crop production. The EPIC crop simulation model regularly failed to simulate viable crop yields in the north-western states of India due to erroneously low precipitation and high temperatures in the baseline climate. Changes in paddy rice yields varied from -49 to 100 % in the future when unprocessed climate scenarios were used. However, bias corrected climate data exhibited changes in paddy rice from -75 to -15% across major paddy growing states in India. In the elevated CO2 simulations paddy rice yields are increasing by 15% to 17.
BIO INSPIRED OPTIMIZATION MECHANISM FOR QOS-BASED WEB SERVICE COMPOSITION

In Service era, there is a significant use of Web Services by the internet users that necessitates seamless web service composition. As multiple services that provides the same functionality are available in enormous number over the net, reliable service selection is needed for service composition for the determination of the composite Quality of Service (QoS). From the literature, it can be seen that dynamic web service composition has been carried out using transactional or QoS constraints of workflow. In this paper, in continuation of Improved Variant Ant Colony Optimization for reliable Web Service Composition(IACO) and Improved Grenade Explosion Model based Artificial Bee Colony Optimization Algorithm(GMABCA), an integrated algorithm (IACOGMABCA) for reliable web service composition is propounded as metaheuristic algorithms can be used for finding the solution of combinatorial optimization problem. IACO-GMABCA uses the multistage graph for depicting the workflow model of service composition for determining optimal path that yields the best solution in terms of convergence rate in comparison with individual performance of IACOA and IABCA. The experiment was conducted with two real time data sets QWS and WS-ANON. IACO-GMABCA confirms its effective performance by means of two metrics namely optimality measure and success rate and it can be seen that the integrated algorithm has extended its scope in the dynamic, reliable web service composition.
Potential impacts of Asian carbon aerosols on future US warming

This study uses an atmosphere‐ocean fully coupled climate model to investigate possible remote impacts of Asian carbonaceous aerosols on US climate change. We took a 21st century mitigation scenario as a reference, and carried out three sets of sensitivity experiments in which the prescribed carbonaceous aerosol concentrations over a selected Asian domain are increased by a factor of two, six, and ten respectively during the period of 2005–2024. The resulting enhancement of atmospheric solar absorption (only the direct effect of aerosols is included) over Asia induces tropospheric heating anomalies that force large‐scale circulation changes which, averaged over the twenty‐year period, add as much as an additional 0.4°C warming over the eastern US during winter and over most of the US during summer. Such remote impacts are confirmed by an atmosphere stand‐alone experiment with specified heating anomalies over Asia that represent the direct effect of the carbon aerosols.
Research Note. The wild water-rats and their relevance in the context of schistosomiasis mansoni in Brazil: what we know and recommendations for further research

Summary Schistosomiasis is a parasitic and endemic disease in several parts of the world. Its mortality rate reaches alarming proportions, which makes emergency the control of this disease. In Brazil, only the species Schistosoma mansoni was adapted to the climatic conditions and to the presence of appropriate hosts. This species shows a life cycle involving mollusks Biomphalaria spp. and humans. However, it has been shown that wild rodents with semi-aquatic habits are capable to establish a productive infection of this parasite. In addition, they are likely also to be capable to spread the disease in endemic areas. Due to the selective pressure exerted by the successive infections in these animals, we may be watching the development of a new strain of the parasite, which is not yet fully defined and understood. With the intention of directing new studies to this problem, we tried to establish main lines of research to demonstrate the real importance of these wild rodents in the epidemiology of schistosomiasis mansoni in Brazil.