Results 1 to 10 of about 3,225,031 (302)

A combination of the HLA-DRB1*03 phenotype and low plasma mannose-binding lectin predisposes to autoantibody formation in women with recurrent pregnancy loss

open access: yesFrontiers in Immunology, 2023
IntroductionIt is documented that a series of autoantibodies can be detected with increased frequency in women with recurrent pregnancy loss (RPL) and they may impact the pregnancy prognosis negatively.
Caroline Nørgaard-Pedersen   +6 more
doaj   +1 more source

Establishment of a prognostic nomogram for patients with locoregionally advanced nasopharyngeal carcinoma incorporating clinical characteristics and dynamic changes in hematological and inflammatory markers

open access: yesFrontiers in Oncology, 2022
BackgroundThis study aims to investigate the prognostic value of changes in hematological and inflammatory markers during induction chemotherapy (IC) and concurrent chemo-radiation (CCRT), thus construct nomograms to predict progression free survival ...
Qin Liu   +8 more
doaj   +1 more source

A machine learning model for grade 4 lymphopenia prediction during pelvic radiotherapy in patients with cervical cancer

open access: yesFrontiers in Oncology, 2022
Background/purposeSevere lymphopenia during pelvic radiotherapy (RT) predicts poor survival in patients with cervical cancer. However, the risk of severe lymphopenia has not been well predicted.
Zhiyuan Xu   +5 more
doaj   +1 more source

Expression of tissue factor and tissue factor pathway inhibitors during ovulation in rats: a relevance to the ovarian hyperstimulation syndrome

open access: yesReproductive Biology and Endocrinology, 2021
Background Blood coagulation has been associated with ovulation and female infertility. In this study, the expression of the tissue factor system was examined during ovulation in immature rats; the correlation between tissue factor and ovarian ...
You Jee Jang   +6 more
doaj   +1 more source

Vaginal dysbiosis as a factor contributing to the development of recurrent lower urinary tract infections

open access: yesВестник урологии, 2023
Introduction. It is known that women are significantly more likely to suffer from lower urinary tract infections (LUTIs) than men. Nowadays, there is growing evidence to demonstrate the impact of vaginal microbiota on the development of recurrent LUTIs ...
I. V. Kosova   +4 more
doaj   +1 more source

Anti-Factor XII Autoantibodies in Patients with Recurrent Pregnancy Loss Recognize the Second Epidermal Growth Factor–Like Domain

open access: yesTH Open, 2019
Summary Background Factor XII (FXII) deficiency and autoantibodies that bind to FXII (anti-FXII) have been described in patients with adverse pregnancy outcomes, including recurrent pregnancy loss.
Yoshihiro Sato   +2 more
doaj   +1 more source

Complexity without chaos: Plasticity within random recurrent networks generates robust timing and motor control [PDF]

open access: yes, 2012
It is widely accepted that the complex dynamics characteristic of recurrent neural circuits contributes in a fundamental manner to brain function. Progress has been slow in understanding and exploiting the computational power of recurrent dynamics for ...
A Banerjee   +53 more
core   +2 more sources

Recurrent urogenital candidiasis: diagnosis and treatment

open access: yesМедицинский совет, 2015
Vulvovaginal candidiasis is the most common manifestation of urogenital candidiasis. The disease is widespread among women of reproductive age. The disease recurs in 5-10% of cases.
A. M. Savicheva, E. V. Shipitsyna
doaj   +1 more source

Magnetic fields and flows between 1 AU and 0.3 AU during the primary mission of HELIOS 1 [PDF]

open access: yes, 1978
The recurrent flow and field patterns observed by HELIOS 1, and the relation between these patterns and coronal holes are discussed. Four types of recurrent patterns were observed: a large recurrent stream, a recurrent slow (quiet) flow, a rapidly ...
Bavassano, B.   +7 more
core   +2 more sources

Exploring efficient neural architectures for linguistic-acoustic mapping in text-to-speech [PDF]

open access: yes, 2019
Conversion from text to speech relies on the accurate mapping from linguistic to acoustic symbol sequences, for which current practice employs recurrent statistical models such as recurrent neural networks. Despite the good performance of such models (in
Bonafonte Cávez, Antonio   +2 more
core   +2 more sources

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