275 research outputs found
Osmotic Dehydration Of Yellow Melon Using Red Grape Juice Concentra
The main objectives of this work were to study the effect of fruit ripening on the melon osmotic dehydration at reduced pressure and to model the mass transfer of moisture during melon dehydration with grape juice concentrate and sucrose solution. The ripening level had no relevant effect over the physical characteristics of the final product, with soluble solids, moisture and water activity without significant differences. Besides, the mass loss and solute gain parameters did not show significant differences, and only the solute gain had few variations. The process of the osmotic dehydration with grape juice concentrate was the most effective one, with higher dehydration and lowest solutes gain compared to the process carried out with sucrose solution. The water effective diffusivity calculated by the Fick’s equation for the process conduced with grape juice was lower than the one obtained for the sucrose solution, according to different equilibrium moisture content calculated by Peleg’s equation. The dehydrated melon with grape juice concentrate showed reduced water activity (~ 0.92) and low moisture content (~ 58%). © 2016, Sociedade Brasileira de Ciencia e Tecnologia de Alimentos, SBCTA. All rights reserved.36346847
Superkamiokande and solar antineutrinos
We propose to exploit the angular distribution of the positrons emitted in
the inverse beta decay to extract a possible antineutrino signal from the
Superkamiokande background. From the statistics collected in just 101.9 days
one obtains a model independent upper bound on the antineutrino flux (for
energy greater than 8.3 MeV) Phi < 9*10^4 cm^-2 s^-1 at the 95% C.L. By
assuming the same energy spectrum as for the 8B neutrinos, the 95% C.L. bound
is Phi < 6*10^4 cm^-2 s^-1. Within three years of data taking, the sensitivity
to neutrino-antineutrino transition probability will reach the 1% level, thus
providing a stringent test of hybrid oscillation models.Comment: 7 pages, 1 figure, Late
Are there nu_mu or nu_tau in the flux of solar neutrinos on earth?
Using the model independent method of Villante, Fiorentini, Lisi, Fogli,
Palazzo, and the rates measured in the SNO and Super-Kamiokande solar neutrino
experiment, we calculate the amount of active nu_mu or nu_tau present in the
flux of solar neutrinos on Earth. We show that the probability of
nu_e->nu_{mu,tau} transitions is larger than zero at 99.89% CL. We find that
the averaged flux of nu_{mu,tau} on Earth is larger than 0.17 times the 8B nu_e
flux predicted by the BP2000 Standard Solar Model at 99% CL. We discuss also
the consequences of possible nu_e->anti-nu_{mu,tau} or nu_e->anti-nu_e
transitions of solar neutrinos. We derive a model-independent lower limit of
0.52 at 99% CL for the ratio of the 8B nu_e flux produced in the Sun and its
value in the BP2000 Standard Solar Model.Comment: 5 pages. Added discussion on possible nu_e->anti-nu_{mu,tau} or
nu_e->anti-nu_e transition
Immunoregulatory effects of testosterone supplementation combined with exercise training in men with Inclusion Body Myositis: A double‐blind, placebo‐controlled, cross‐over trial
Objectives
Sporadic Inclusion Body Myositis (IBM) is an inflammatory muscle disease affecting individuals over the age of 45, leading to progressive muscle wasting, disability and loss of independence. Histologically, IBM is characterised by immune changes including myofibres expressing major histocompatibility complex molecules and invaded by CD8+ T cells and macrophages, and by degenerative changes including protein aggregates organised in inclusion bodies, rimmed vacuoles and mitochondrial abnormalities. There is currently no cure, and regular exercise is currently the only recognised treatment effective at limiting muscle weakening, atrophy and loss of function. Testosterone exerts anti-inflammatory effects, inhibiting effector T-cell differentiation and pro-inflammatory cytokine production.
Methods
We conducted a double-blind, placebo-controlled, cross-over trial in men with IBM, to assess whether a personalised progressive exercise training combined with application of testosterone, reduced the inflammatory immune response associated with this disease over and above exercise alone. To assess intervention efficacy, we immunophenotyped blood immune cells by flow cytometry, and measured serum cytokines and chemokines by Luminex immunoassay.
Results
Testosterone supplementation resulted in modest yet significant count reduction in the classical monocyte subset as well as eosinophils. Testosterone-independent immunoregulatory effects attributed to exercise included altered proportions of some monocyte, T- and B-cell subsets, and reduced IL-12, IL-17, TNF-α, MIP-1β and sICAM-1 in spite of interindividual variability.
Conclusion
Overall, our findings indicate anti-inflammatory effects of exercise training in IBM patients, whilst concomitant testosterone supplementation provides some additional changes. Further studies combining testosterone and exercise would be worthwhile in larger cohorts and longer testosterone administration periods
Molecular typing of Dengue virus circulating in Kuching district of Sarawak, Malaysian Borneo, from 2014 to2016
: Dengue fever is endemic to Malaysia and the past
five years has seen a large increase in recorded dengue cases. All four dengue serotypes have been recorded in Malaysia and the state of Sarawak. Historically for Sarawak, DENV-1 and DENV-2 were first serologically detected in 1962, while DENV-3 and DENV-4 were picked up by PCR and Sanger sequencing in 1997–1999. However,no serotype sequence data for Sarawak has been published in recent years
Patient-reported outcomes with durvalumab, with or without tremelimumab, plus chemotherapy as first-line treatment for metastatic non-small-cell lung cancer (POSEIDON).
In the phase 3 POSEIDON study, first-line tremelimumab plus durvalumab and chemotherapy significantly improved overall survival and progression-free survival versus chemotherapy in metastatic non-small-cell lung cancer (NSCLC). We present patient-reported outcomes (PROs).
Treatment-naïve patients were randomized 1:1:1 to tremelimumab plus durvalumab and chemotherapy, durvalumab plus chemotherapy, or chemotherapy. PROs (prespecified secondary endpoints) were assessed using the European Organisation for Research and Treatment of Cancer 30-item core quality of life questionnaire version 3 (QLQ-C30) and its 13-item lung cancer module (QLQ-LC13). We analyzed time to deterioration (TTD) of symptoms, functioning, and global health status/quality of life (QoL) from randomization by log-rank test and improvement rates by logistic regression.
972/1013 (96 %) patients randomized completed baseline QLQ-C30 and QLQ-LC13 questionnaires, with scores comparable between treatment arms. Patients receiving tremelimumab plus durvalumab and chemotherapy versus chemotherapy had longer median TTD for all PRO items. Hazard ratios for TTD favored tremelimumab plus durvalumab and chemotherapy for all items except diarrhea; 95 % confidence intervals did not cross 1.0 for global health status/QoL, physical functioning, cognitive functioning, pain, nausea/vomiting, insomnia, constipation, hemoptysis, dyspnea, and pain in other parts. For durvalumab plus chemotherapy, median TTD was longer versus chemotherapy for all items except nausea/vomiting and diarrhea. Hazard ratios favored durvalumab plus chemotherapy for all items except appetite loss; 95 % confidence intervals did not cross 1.0 for global health status/QoL, physical functioning, role functioning, dyspnea, and pain in other parts. For both immunotherapy plus chemotherapy arms, improvement rates in all PRO items were numerically higher versus chemotherapy, with odds ratios > 1.
Tremelimumab plus durvalumab and chemotherapy delayed deterioration in symptoms, functioning, and global health status/QoL compared with chemotherapy. Together with significant improvements in survival, these results support tremelimumab plus durvalumab and chemotherapy as a first-line treatment option in metastatic NSCLC
A Biased Review of Sociophysics
Various aspects of recent sociophysics research are shortly reviewed:
Schelling model as an example for lack of interdisciplinary cooperation,
opinion dynamics, combat, and citation statistics as an example for strong
interdisciplinarity.Comment: 16 pages for J. Stat. Phys. including 2 figures and numerous
reference
Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research
Altres ajuts: Max Planck Society (Germany).The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes
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