34 research outputs found
CitologĂa vaginal en cerdas: determinaciĂłn de patrones celulares en relaciĂłn con la fase del ciclo estral.
Reproductivamente, la cerda se clasifica como poliĂ©strica continua, con un ciclo estral de 21 dĂas promedio, que se divide en una fase folicular (proestro y estro); y una fase luteal (metaestro y diestro). Durante este ciclo participan diferentes hormonas que inducen cambios comportamentales, anatĂłmicos e histolĂłgicos en las cerdas. Estos Ășltimos pueden observarse mediante el uso de citologĂa vaginal exfoliativa2. El objetivo del trabajo fue determinar mediante citologĂa vaginal exfoliativa los distintos tipos celulares presentes en cada estadio del ciclo estral de la cerda. El estudio se realizĂł en una granja de 2800 madres. Se seleccionaron 31 hembras al momento del destete. Se tomaron muestras para estudios citolĂłgicos. Durante la observaciĂłn microscĂłpica se identificaron y contaron cĂ©lulas epiteliales vaginales (cĂ©lulas parabasales, intermedias, superficiales y escamas) estableciendo el porcentaje promedio de cada tipo celular. Se compararon dos grupos celulares: grupo 1 (parabasales e intermedias) vs grupo 2 (superficiales y escamas) segĂșn Rodgers 19933. Se observĂł un descenso progresivo del grupo 1 desde el 1er dĂa del proestro hacia el final del estro, a la inversa del grupo 2. En relaciĂłn al metaestro, el % de ambos grupos fue similar. En el diestro temprano se observĂł un predominio de cĂ©lulas del grupo 2, mientras que, en el diestro tardĂo, predominaron las cĂ©lulas del grupo 1
Modified f(R) gravity from scalar-tensor theory and inhomogeneous EoS dark energy
The reconstruction of f(R)-gravity is showed by using an auxiliary scalar
field in the context of cosmological evolution, this development provide a way
of reconstruct the form of the function f (R) for a given evolution of the
Hubble parameter. In analogy, f(R)-gravity may be expressed by a perfect fluid
with an inhomogeneous equation of state that depends on the Hubble parameter
and its derivatives. This mathematical equivalence that may confuse about the
origin of the mechanism that produces the current acceleration, and possibly
the whole evolution of the Hubble parameter, is shown here.Comment: 8 page
Progression of regional grey matter atrophy in multiple sclerosis
Grey matter atrophy is present from the earliest stages of multiple sclerosis, but its temporal ordering is poorly understood. We aimed to determine the sequence in which grey matter regions become atrophic in multiple sclerosis and its association with disability accumulation. In this longitudinal study, we included 1417 subjects: 253 with clinically isolated syndrome, 708 with relapsing-remitting multiple sclerosis, 128 with secondary-progressive multiple sclerosis, 125 with primary-progressive multiple sclerosis, and 203 healthy control subjects from seven European centres. Subjects underwent repeated MRI (total number of scans 3604); the mean follow-up for patients was 2.41 years (standard deviation = 1.97). Disability was scored using the Expanded Disability Status Scale. We calculated the volume of brain grey matter regions and brainstem using an unbiased within-subject template and used an established data-driven event-based model to determine the sequence of occurrence of atrophy and its uncertainty. We assigned each subject to a specific event-based model stage, based on the number of their atrophic regions. Linear mixed-effects models were used to explore associations between the rate of increase in event-based model stages, and T2 lesion load, disease-modifying treatments, comorbidity, disease duration and disability accumulation. The first regions to become atrophic in patients with clinically isolated syndrome and relapse-onset multiple sclerosis were the posterior cingulate cortex and precuneus, followed by the middle cingulate cortex, brainstem and thalamus. A similar sequence of atrophy was detected in primary-progressive multiple sclerosis with the involvement of the thalamus, cuneus, precuneus, and pallidum, followed by the brainstem and posterior cingulate cortex. The cerebellum, caudate and putamen showed early atrophy in relapse-onset multiple sclerosis and late atrophy in primary-progressive multiple sclerosis. Patients with secondary-progressive multiple sclerosis showed the highest event-based model stage (the highest number of atrophic regions, P < 0.001) at the study entry. All multiple sclerosis phenotypes, but clinically isolated syndrome, showed a faster rate of increase in the event-based model stage than healthy controls. T2 lesion load and disease duration in all patients were associated with increased event-based model stage, but no effects of disease-modifying treatments and comorbidity on event-based model stage were observed. The annualized rate of event-based model stage was associated with the disability accumulation in relapsing-remitting multiple sclerosis, independent of disease duration (P < 0.0001). The data-driven staging of atrophy progression in a large multiple sclerosis sample demonstrates that grey matter atrophy spreads to involve more regions over time. The sequence in which regions become atrophic is reasonably consistent across multiple sclerosis phenotypes. The spread of atrophy was associated with disease duration and with disability accumulation over time in relapsing-remitting multiple sclerosis
Induction and characterization of oil palm (Elaeis guineensis Jacq.) pro-embryogenic masses
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Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System.
Clinical adoption of an artificial intelligence-enabled imaging tool requires critical appraisal of its life cycle from development to implementation by using a systematic, standardized, and objective approach that can verify both its technical and clinical efficacy. Toward this concerted effort, the ASFNR/ASNR Artificial Intelligence Workshop Technology Working Group is proposing a hierarchal evaluation system based on the quality, type, and amount of scientific evidence that the artificial intelligence-enabled tool can demonstrate for each component of its life cycle. The current proposal is modeled after the levels of evidence in medicine, with the uppermost level of the hierarchy showing the strongest evidence for potential impact on patient care and health care outcomes. The intended goal of establishing an evidence-based evaluation system is to encourage transparency, foster an understanding of the creation of artificial intelligence tools and the artificial intelligence decision-making process, and to report the relevant data on the efficacy of artificial intelligence tools that are developed. The proposed system is an essential step in working toward a more formalized, clinically validated, and regulated framework for the safe and effective deployment of artificial intelligence imaging applications that will be used in clinical practice
LONG-TERM CHANGES IN UTERINE BLOOD FLOW AND VASCULAR REACTIVITY IN PREGNANT SHEEP FOLLOWING LOCAL DELIVERY OF AN ADENOVIRUS ENCODING VEGF TO THE UTERINE ARTERIES
GM-CSF Regulates a PU.1-Dependent Transcriptional Program Determining the Pulmonary Response to LPS
Alveolar macrophages (AMs) normally respond to lipopolysaccharide (LPS) by activating Toll-like receptor (TLR)-4 signaling, a mechanism critical to lung host defense against gram-negative bacteria such as Pseudomonas aeruginosa. Because granulocyte macrophage colony-stimulating factor (GM-CSF)âdeficient (GMâ/â) mice are hyporesponsive to LPS, we evaluated the role of GM-CSF in TLR-4 signaling in AMs. Pulmonary TNF-α levels and neutrophil recruitment 4 h after intratracheal administration of Pseudomonas LPS were reduced in GMâ/â compared with wild-type (GM+/+) mice. Secretion of TNF-α by AMs exposed to LPS ex vivo was also reduced in GMâ/â mice and restored in mice expressing GM-CSF specifically in the lungs (SPC-GM+/+/GMâ/â mice). LPS-dependent NF-ÎșB promoter activity, TNF-α secretion, and neutrophil chemokine release were reduced in AM cell lines derived from GMâ/â mice (mAM) compared with GM+/+ (MH-S). Retroviral expression of PU.1 in mAM cells, which normally lack PU.1, rescued all of these AM defects. To determine whether GM-CSF, via PU.1, regulated expression of TLR-4 pathway components, mRNA and protein levels for key components were evaluated in MH-S cells (GM+/+, PU.1Positive), mAM cells (GMâ/â, PU.1Negative), and mAMPU.1+ cells (GMâ/â, PU.1Positive). Cluster of differentiation antigen-14, radioprotective 105, IL-1 receptorâassociated kinase (IRAK)-M mRNA, and protein were dependent upon GM-CSF and restored by expression of PU.1. In contrast, expression of other TLR-4 pathway components (myeloid differentiation-2, TLR-4, IRAK-1, IRAK-2, Toll/IL-1 receptor domain containing adapter protein/MyD88 adaptor-like, myeloid differentiation primary-response protein 88, IRAK-4, TNF receptorâassociated factor-6, NF-ÎșB, inhibitor of NF-ÎșB kinase) were not GM-CSF or PU.1-dependent. These results show that GM-CSF, via PU.1, enables AM responses to P. aeruginosa LPS by regulating expression of a specific subset of components of the TLR-4 signaling pathway
Global Regulations for a Digital Economy: Between New and Old Challenges
© 2020 Durham University and John Wiley & Sons, Ltd Digital technologies are often described as posing unique challenges for public regulators worldwide. Their fast-pace and technical nature are viewed as being incompatible with the relatively slow and territorially bounded public regulatory processes. In this paper, we argue that not all digital technologies pose the same challenges for public regulators. We more precisely maintain that the digital technologiesâ label can be quite misleading as it actually represents a wide variety of technical artifacts. Based on two dimensions, the level of centralization and (im)material nature, we provide a typology of digital technologies that importantly highlights how different technical artifacts affect differently local, national, regional and global distributions of power. While some empower transnational businesses, others can notably reinforce statesâ power. By emphasizing this, our typology contributes to ongoing discussions about the global regulation of a digital economy and helps us identify the various challenges that it might present for public regulators globally. At the same time, it allows us to reinforce previous claims that these are importantly, not all new and that they often require us to solve traditional cooperation problems