121 research outputs found

    Real Effects of Private Country-by-Country Disclosure

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    We investigate the effects of mandatory private Country-by-Country Reporting (CbCR) to European tax authorities on multinational firms’ capital and labor investments as well as their organizational structures. We exploit the threshold-based application of this 2016 disclosure rule to conduct difference-in-differences and regression discontinuity tests. We document increases in capital and labor expenditures in Europe, but these effects are more pronounced in countries with preferential tax regimes. Cross-sectional tests and analysis using consolidated financial data provide evidence consistent with multinational firms reallocating capital across Europe to mitigate increased tax enforcement risk, as well as with CbCR hindering capital investment efficiency. We also find evidence consistent with firms responding to CbCR by reducing organizational complexity. Collectively, our results support the conclusion that mandatory private CbCR causes firms to change real investment activities to substantiate their tax avoidance activities in Europe while reducing the appearance of aggressive tax practices

    Clinical impact of MDR1-expression in testicular germ cell cancer

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    Aim: The multidrug resistance protein 1 (MDR1, P-gp, p-170) is a membrane glycoprotein that acts as an energy-dependent drug efflux pump. In various malignancies its expression is associated with resistance to diverse cytostatic drugs, and therefore predicts resistance to systemic treatment. The aim of this study was to investigate the prognostic value of MDR1 expression in primary tumor tissue to predict necrosis or viable cancer in residual tumor masses after systemic chemotherapy for advanced testicular germ cell cancer. Materials and Methods: Out of 77 patients, histopathological characteristics of primary testicular cancer specimens and retroperitoneal lymph node dissection (RPLND) samples following chemotherapy were available from 72 and all 77 patients, respectively. Moreover, MDR1 expression was determined by immunohistochemistry in 47 primary tumors and corresponding 73 RPLND sections. Results: After chemotherapy and subsequent RPLND, the examination of residual tumor masses revealed that mature teratoma and active viable tumor were predominantly found in patients with non-seminoma (NSGCT; p = 0.048), especially in those with containing mature teratoma (p = 0.001). Moreover, using univariate analysis the expression of MDR1 in the primary testicular tumor predicted viable tumor/teratoma residues in RPLND sections (p = 0.003). However, in multivariate analysis including the tumors’ histological subtype, MDR1 expression alone failed to reach statistical significance as an independent prognostic marker for residual vital tumor (p β‰₯ 0.16). Conclusions: With the limited number of patients given, the correlation between MDR1 expression in primary testis cancer and active residual retroperitoneal disease after chemotherapy failed to reach statistical significance as in independent marker. Therefore, up to now routine MDR1 staining of testicular germ cell cancer samples should not be performed in clinical practice. However, as there was a clear trend, a larger number of patients suffering from metastatic non-seminomas should be studied, as MDR1 expression might have significant prognostic value in this particular subgroup of patients.Π‘Π΅Π»ΠΎΠΊ 1 мноТСствСнной лСкарств Π΅Π½Π½ΠΎΠΉ устойчив ости (MDR1, P-gp, p-170) – это ΠΌΠ΅ΠΌΠ±Ρ€Π°Π½Π½Ρ‹ΠΉ Π³Π»ΠΈΠΊΠΎΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½, Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠΉ ΠΊΠ°ΠΊ энСргозависимый насос. ΠŸΡ€ΠΈ Ρ€Π°Π·Π» ΠΈΡ‡Π½Ρ‹Ρ… Ρ„ΠΎ Ρ€ΠΌΠ°Ρ… ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅ΠΉ Π΅Π³ΠΎ экспр Π΅ ссия связана с устойчив ΠΎ ΡΡ‚ΡŒΡŽ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΊ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌ цитостатикам, Ρ‡Ρ‚ΠΎ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ использовано для Π²Ρ‹Π±ΠΎΡ€Π° Ρ‚ΠΈΠΏΠ° Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ. ЦСль Ρ€Π°Π±ΠΎΡ‚Ρ‹ β€” исслСдованиС прогности- чСской значимости экспрСссии MDR1 Π² Ρ‚ΠΊΠ°Π½ΠΈ ΠΏΠ΅ Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ для ΠΎΡ†Π΅Π½ΠΊΠΈ Π²ΠΎΠ·ΠΌΠΎ Тности Ρ€Π°Π· вития Π½Π΅ΠΊΡ€ΠΎΠ·Π° ΠΈΠ»ΠΈ сохран Π΅ ния ΠΆΠΈΠ²Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ Π² остаточной Ρ‚ΠΊΠ°Π½ΠΈ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ послС примСнСния систСмной Ρ…ΠΈΠΌΠΈΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ Π½Π° ΠΏΠΎΠ·Π΄Π½ΠΈΡ… стадиях Π³Π΅Ρ€ΠΌΠΈΠ½Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅ΠΉ яичка. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: ΠΏΡ€ΠΎ Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎ Π²Π°Π½Ρ‹ гисто ΠΏΠ°Ρ‚ΠΎΠ»ΠΎ гичСскиС Ρ…Π°Ρ€Π°ΠΊΡ‚ Π΅ ристики ΠΏΠ΅ Ρ€Π²ΠΈΡ‡Π½ΠΎ ΠΉ Ρ‚Π΅ стикулярной ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΈ ΠΎΠ±Ρ€Π°Π·Ρ†ΠΎΠ², ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… ΠΏΡ€ΠΈ иссСчСнии Ρ€Π΅Ρ‚Ρ€ΠΎΠΏΠ΅Ρ€ΠΈΡ‚ΠΎΠ½Π΅Π°Π»ΡŒΠ½Ρ‹Ρ… лимфатичСских ΡƒΠ·Π»ΠΎΠ² (RPLND) послС Ρ…ΠΈΠΌΠΈ ΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ 72 ΠΈ 77 Π±ΠΎΠ» ΡŒΠ½Ρ‹Ρ… соотвС тствСнно. Экспр Сссию MDR1 опрСдСляли ΠΈΠΌΠΌΡƒΠ½ огист ΠΎΡ…ΠΈΠΌΠΈΡ‡ Сским ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ Π² 47 ΠΎΠ±Ρ€Π°Π·Ρ†Π°Ρ… ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ ΠΎΠΉ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ ΠΈ ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΡ… 73 ср RPLND. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: послС Ρ…ΠΈΠΌΠΈ ΠΎΡ‚Π΅Ρ€Π°ΠΏΠΈΠΈ ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΉ RPLNDисслСдовани Π΅ оста- Ρ‚ΠΎΡ‡Π½Ρ‹Ρ… ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²Ρ‹Ρ… Ρ‚ΠΊΠ°Π½Π΅ΠΉ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, чтозрСлая Ρ‚Π΅Ρ€Π°Ρ‚ΠΎΠΌΠ° ΠΈ ТизнСспособныС ΠΎΠΏΡƒΡ… ΠΎΠ»Π΅Π²Ρ‹Π΅ ΠΊΠ»Π΅Ρ‚ΠΊΠΈ выяв Π»ΡΡŽΡ‚ прСимущСствСнно Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ…, Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π½Π΅ Π±Ρ‹Π»Π° ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½Π° сСминома (NSGCT; p = 0,048), особСнно Ρƒ Ρ‚Π°ΠΊ ΠΎΠ²Ρ‹Ρ… , Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π±Ρ‹Π»Π° Ρ‚Π΅Ρ€Π°Ρ‚ΠΎΠΌΠ° (p = 0,001). Π‘ΠΎΠ»Π΅Π΅ Ρ‚ΠΎΠ³ΠΎ, Π΄ Π°Π½Π½Ρ‹Π΅ ΠΎΠ΄Π½ΠΎ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ экспр Π΅ ссия MDR1 Π² Ρ‚ΠΊΠ°Π½ΠΈ ΠΏΠ΅ Ρ€Π²ΠΈΡ‡Π½ΠΎ ΠΉ Ρ‚Π΅ стику лярной ΠΎΠΏΡƒ- Ρ…ΠΎΠ»ΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ ΡΠ»ΡƒΠΆΠΈΡ‚ΡŒ прогностич Сским Ρ„Π°ΠΊΡ‚ ΠΎΡ€ΠΎΠΌ сохран Сния ΠΆΠΈΠ²Ρ‹Ρ… ΠΎΠΏΡƒΡ… ΠΎΠ»Π΅Π²Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ срСзах RPLND (p = 0,003). О Π½Π°ΠΊ ΠΎ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΡƒΠ»ΡŒΡ‚ΠΈΡ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°, Π² Ρ‚ΠΎΠΌ числС с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ гистологичСского ΠΏΠΎΠ΄Ρ‚ΠΈΠΏΠ° ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ, ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, Ρ‡Ρ‚ΠΎ экспр Π΅ ссия MDR1 Π½Π΅ ΠΈΠΌΠ΅Π΅Ρ‚ ΡΠ°ΠΌΠΎΡΡ‚ΠΎΡΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ прогностичСской значимости для выявлСния ΠΆΠΈΠ²Ρ‹Ρ… остаточных ΠΎΠΏΡƒΡ… ΠΎΠ»Π΅Π²Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ (p 0,16). Π’Ρ‹Π²ΠΎΠ΄Ρ‹: Π²Π²ΠΈΠ΄Ρƒ нСбольшо ΠΉΠ²Ρ‹Π±ΠΎΡ€ΠΊΠΈΠ±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π½Π΅ выяв Π»Π΅Π½ΠΎ статистичСски значимойкоррСляции ΠΌΠ΅ΠΆΠ΄Ρƒ экспр СссиСй MDR1 Π² ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ яичка ΠΈ Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ΠΌ Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ€Π΅Π·ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΎΡ‡Π°Π³ΠΎΠ² пораТСния Π² Ρ€Π΅Ρ‚Ρ€ΠΎΠΏΠ΅Ρ€ΠΈΡ‚ΠΎΠ½Π΅Π°Π»ΡŒΠ½ΠΎΠΌ пространствС. Π’ Ρ‚ ΠΎ ΠΆΠ΅ врСмя, учитывая Π²Ρ‹ΡΠ²Π»Π΅Π½Π½ΡƒΡŽ Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΡŽ, ΡΠΊΡΠΏΡ€Π΅ΡΡΠΈΡŽ MDR1, Π² качСствС Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΠ³ΠΎ прогностич Сского ΠΌΠ°Ρ€ΠΊ Π΅Ρ€Π°, ΠΈΠΌΠ΅Π΅Ρ‚ смысл ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚ΡŒ ΠΈΠΌΠ΅Π½Π½ΠΎ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с мСтастатичСскими опухолями, Π½Π΅ ΡΠ²Π»ΡΡŽΡ‰ΠΈΠΌΠΈΡΡ сСминомой

    Identification of Ambient Molecular Clouds Associated with Galactic Supernova Remnant IC443

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    The Galactic supernova remnant (SNR) IC443 is one of the most studied core-collapse SNRs for its interaction with molecular clouds. However, the ambient molecular clouds with which IC443 is interacting have not been thoroughly studied and remain poorly understood. Using Five College Radio Astronomy Observatory 14m telescope, we obtained fully sampled maps of ~ 1{\deg} \times 1{\deg} region toward IC443 in the 12CO J=1-0 and HCO+ J=1-0 lines. In addition to the previously known molecular clouds in the velocity range v_lsr = -6 to -1 km/s (-3 km/s clouds), our observations reveal two new ambient molecular cloud components: small (~ 1') bright clouds in v_lsr = -8 to -3 km/s (SCs), and diffuse clouds in v_lsr = +3 to +10 km/s (+5 km/s clouds). Our data also reveal the detailed kinematics of the shocked molecular gas in IC443, however the focus of this paper is the physical relationship between the shocked clumps and the ambient cloud components. We find strong evidence that the SCs are associated with the shocked clumps. This is supported by the positional coincidence of the SCs with shocked clumps and other tracers of shocks. Furthermore, the kinematic features of some shocked clumps suggest that these are the ablated material from the SCs upon the impact of the SNR shock. The SCs are interpreted as dense cores of parental molecular clouds that survived the destruction by the pre-supernova evolution of the progenitor star or its nearby stars. We propose that the expanding SNR shock is now impacting some of the remaining cores and the gas is being ablated and accelerated producing the shocked molecular gas. The morphology of the +5 km/s clouds suggests an association with IC443. On the other hand, the -3 km/s clouds show no evidence for interaction.Comment: Accepted for publication in ApJ. 15 pages (with emulateapj.cls), 17 figures, and 2 table

    Microlensing by Compact Objects associated to Gas Clouds

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    We investigate gravitational microlensing of point-like lenses surrounded by diffuse gas clouds. Besides gravitational bending, one must also consider refraction and absorption phenomena. According to the cloud density, the light curves may suffer small to large deviations from Paczynski curves, up to complete eclipses. Moreover, the presence of the cloud endows this type of microlensing events with a high chromaticity and absorption lines recognizable by spectral analysis. It is possible that these objects populate the halo of our galaxy, giving a conspicuous contribution to the fraction of the baryonic dark matter. The required features for the extension and the mass of the cloud to provide appreciable signatures are also met by several astrophysical objects.Comment: 11 pages with 4 figures. Accepted by A&

    A Sino-German Ξ»\lambda6\ cm polarization survey of the Galactic plane. V. Large supernova remnants

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    Observations of large supernova remnants (SNRs) at high frequencies are rare, but provide valuable information about their physical properties. The total intensity and polarization properties of 16 large SNRs in the Galactic plane were investigated based on observations of the Urumqi Ξ»\lambda6\ cm polarization survey of the Galactic plane with an angular resolution of 9\farcm5. We extracted total intensity and linear polarization maps of large SNRs from the Urumqi Ξ»\lambda6\ cm survey, obtained their integrated flux densities, and derived the radio spectra in context with previously published flux densities at various frequencies. In particular, Effelsberg Ξ»\lambda11\ cm and Ξ»\lambda21\ cm survey data were used for calculating integrated flux densities. The Ξ»\lambda6\ cm polarization data also delineate the magnetic field structures of the SNRs. We present the first total intensity maps at Ξ»\lambda6\ cm for SNRs G106.3+2.7, G114.3+0.3, G116.5+1.1, G166.0+4.3 (VRO 42.05.01), G205.5+0.5 (Monoceros Nebula) and G206.9+2.3 (PKS 0646+06) and the first polarization measurements at Ξ»\lambda6\ cm for SNRs G82.2+5.3 (W63), G106.3+2.7, G114.3+0.3, G116.5+1.1, G166.0+4.3 (VRO 42.05.01), G205.5+0.5 (Monoceros Nebula) and G206.9+2.3 (PKS 0646+06). Most of the newly derived integrated radio spectra are consistent with previous results. The new flux densities obtained from the Urumqi Ξ»\lambda6\ cm, Effelsberg Ξ»\lambda11\ cm and Ξ»\lambda21\ cm surveys are crucial to determine the spectra of SNR G65.1+0.6, G69.0+2.7 (CTB 80), G93.7-0.2 and G114.3+0.3. We find that G192.8βˆ’-1.1 (PKS 0607+17) consists of background sources, \ion{H}{II} regions and the extended diffuse emission of thermal nature, and conclude that G192.8βˆ’-1.1 is not a SNR.Comment: 15 pages, 10 figures, accepted by A&\amp;A. Language improved. For the version with high resolution figures, please go to: http://zmtt.bao.ac.cn/6cm/paper/gxy_largeSNR.pd

    Six Years of Chandra Observations of Supernova Remnants

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    We present a review of the first six years of Chandra X-ray Observatory observations of supernova remnants. From the official "first-light" observation of Cassiopeia A that revealed for the first time the compact remnant of the explosion, to the recent million-second spectrally-resolved observation that revealed new details of the stellar composition and dynamics of the original explosion, Chandra observations have provided new insights into the supernova phenomenon. We present an admittedly biased overview of six years of these observations, highlighting new discoveries made possible by Chandra's unique capabilities.Comment: 82 pages, 28 figures, for the book Astrophysics Update

    In search of disorders: internalizing symptom networks in a large clinical sample.

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    Background The co‐occurrence of internalizing disorders is a common form of psychiatric comorbidity, raising questions about the boundaries between these diagnostic categories. We employ network psychometrics in order to: (a) determine whether internalizing symptoms cluster in a manner reflecting DSM diagnostic criteria, (b) gauge how distinct these diagnostic clusters are and (c) examine whether this network structure changes from childhood to early and then late adolescence. Method Symptom‐level data were obtained for service users in publicly funded mental health services in England between 2011 and 2015 (N = 37,162). A symptom network (i.e. Gaussian graphical model) was estimated, and a community detection algorithm was used to explore the clustering of symptoms. Results The estimated network was densely connected and characterized by a multitude of weak associations between symptoms. Six communities of symptoms were identified; however, they were weakly demarcated. Two of these communities corresponded to social phobia and panic disorder, and four did not clearly correspond with DSM diagnostic categories. The network structure was largely consistent by sex and across three age groups (8–11, 12–14 and 15–18 years). Symptom connectivity in the two older age groups was significantly greater compared to the youngest group and there were differences in centrality across the age groups, highlighting the age‐specific relevance of certain symptoms. Conclusions These findings clearly demonstrate the interconnected nature of internalizing symptoms, challenging the view that such pathology takes the form of distinct disorders

    Why NS and BH mass distribition is bimodal?

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    The observed mass distribution for the compact remnants of massive stars (neutron stars and black holes) and its relationship to possible mechanisms for the ejection of the envelopes of type II and Ib/c supernovae is analyzed. The conclusion is drawn that this distribution can be obtained only by a magneto-rotational mechanism for the supernovae with sufficiently long time of the field amplification, and a soft equation of state for neutron stars with limiting masses \sim1.5-1.6M_\odot. Some consequences of this hypothesis are discussed.Comment: latex, 4 pages, 5 figures, Talk given at 5th Int. Tsessevich Conf. "Variable Stars", Odessa, Ukraine, August 200
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