87,755 research outputs found
"Gender congruence and acceptance before and after cross-sex hormonal therapy" G. Senofonte, F. Cargnelutti, A. Petrozzi, S. Colangelo, F. Pallotti, D. Paoli, M. Mosconi, F. Lombardo
Introduction - Gender dysphoria (GD) is a non congruity between an individual’s assigned
gender and the perceived gender identity. This incongruence often produces significant
distress and/or social functioning problems.
Aim – To evaluate gender congruence in FtM and MtF patients using a validated psychometric
scale.
Materials and Methods - We recruited 62 patients (33 FtM and 29 MtF; mean age 27.3 ± 6.7
and 28 ± 6.2 years, respectively) who referred to the outpatient clinic of Endocrinology and
Andrology of the Department of Experimental Medicine for Gender Dysphoria, “Sapienza”
University of Rome, sent by the mental health specialists. Each patient underwent clinical
evaluation, blood hormone testing and completed the Transgender Congruence Scale (TGCS).
This questionnaire is composed of 12 items, exploring Transgender Congruence (TC),
Appearance Congruence (AC) and Gender Identity Acceptance (GIA) (score 1-5). The
evaluation was carried out before the beginning of cross-sex hormone therapy (T0) and after
6 months of therapy (T6).
Results – Baseline evaluation – We detected higher TC scores in FtM patients compared to
MtF (2.65 ± 0.62 vs 2.17 ± 0.73, respectively; p = 0.001), and comparable AC and GIA scores in
both groups (AC: 1.94 ± 0.88 vs 1.69 ± 0.85, p = 0.087; GIA: 4.02 ± 0.26 vs 3.96 ± 0.26, p =
0.409); blood testosterone and estradiol values were within normal cis-gender ranges for all
patients.
FtM post therapy evaluation – At T6 we detected a significant increase of both TC and AC
scores (TC: 2.65 ± 0.62 vs 3.61 ± 0.21, T0 vs T6 respectively, p = 0.001; AC: 1.94 ± 0.88 vs 3.30
± 0.16, T0 vs T6 respectively, p = 0.001). Hormone testing revealed a significant increase of
testosterone levels within eugonadal male range (1.35 ± 0.83 vs 13.36 ± 4.52, T0 vs T6
respectively, p = 0.001).
MtF post therapy evaluation – Similarly, we detected a significant increase of both TC and AC
scores at T6 (TC: 2.17 ± 0.73 vs 3.27 ± 0.57, T0 vs T6, p = 0.005; AC: 1.69 ± 0.85 vs 3.06 ± 0.79,
T0 vs T6, p = 0.011). Blood hormone analysis revealed a significant decrease of testosterone
levels (19.39 ± 10.76 vs 2.70 ± 4.51, T0 vs T6, p = 0.004) without variation of estradiol levels
(24.52 ± 7.61 vs 31.23 ± 14.01, T0 vs T6, p = 0.424). It is noteworthy that TC scores at T6 in
MtF were significantly lower than in FtM (p = 0.048).
Correlations - No significant correlations were detected between sex hormones levels and
TGCS scores in both groups.
Conclusions – Both FtM and MtF individuals show high acceptance of their new gender
identity even before treatment due to their rejection of their birth-assigned gender. Six
months of cross-sex hormone therapy determined an outstanding improvement of selfreported
congruence and appearance scores in both groups, although to a milder extent on
MtF. This reflects the fact that androgen therapy induces marked physical changes in FtM
(menses cessation, hair growth, etc.) and with shorter latency than anti-androgens and
estradiol in MtF. Longer follow-up is required to determine long term maintenance of physical
and psychological effects of therapy
Effect of earthquake statistically correlated vertical component on inelastic demand to regular reinforced-concrete frames
Post-earthquake survey and structural analysis prove that the vertical seismic action can damage buildings and bridges, even those with regular configuration. Moreover, there is evidence that one principal axis of ground motion may be not vertical. The inelastic demand to regular building structures is assessed here considering both uncorrelated and cross-correlated random seismic components, concurrent to deterministic weight. The method is conventional statistical equivalent linearization. Planar reinforced-concrete frames are analyzed parametrically varying the number of stories, the design ductility class, or the foundation ground type, as well as variance and cross-covariance of the vertical seismic component. Following a lumped plasticity approach, the bending moment-rotation relationship is a Bouc-Wen equation extended for asymmetry and interaction with axial force. Based on mean values, variances, and percentiles of response, the effect of uncorrelated vertical excitation is appreciable only on stress resultants of little practical consequence. Much more important is the effect of cross-correlated vertical excitation. As extreme results, the interstory drift demand increases up to four times. The rotation ductility demand to columns, less than 2 under uncorrelated excitations, rises to 5, meaning very likely yielding of columns designed as strong. The probability of axial force in the columns being tensile grows from negligible value to 8%. The beams may yield also around mid-span. The frame plastic mechanism worsens towards soft story, the peak deformation ductility being demanded more than the cyclic ductility. Not only variance of the vertical ground motion, but also cross-covariance with the horizontal one should be considered in the near field
Il trattamento antitrust degli accordi di trasferimento di tecnologia nell’Unione Europea
Una tecnica perturbativa nel dimensionamento ottimale di strutture intelaiate in zona sismica
Benjamin, Derrida, Lacan. Per Bruno Moroncini
Il volume introduce e raccoglie quattro scritti di Bruno Moroncini e tre studi sulla sua riflessione (autori: M. Bottone, F. Desideri, S. Facioni), allegando una bibliografia completa dei suoi testi
Progressive training of convolutional neural networks for acoustic events classification
Convolutional neural networks represent the state of the art in multiple fields. Techniques that improve the training of these models are of prime interest since they have the capability to improve performances on a large variety of tasks. In this paper, we investigate the performance of progressive resizing, originally introduced in computer vision, when applied to the training of convolutional neural networks for audio events classification. We evaluate the original resizing algorithm and introduce a novel one, comparing the performances against a baseline system. Two of the most relevant audio datasets are used for assessing the performances of the proposed approach. Experimental results suggest that progressive resizing methods improves the performances of audio events classification models. The novel approach introduces a complimentary gain in performances with respect to the original technique
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