Notes

Treating serious hyponatremia using low-dose steady elimination substitute treatments and peripheral D5W within an baby using acute elimination damage.
Data are comparable to other large-scale individual level surveys, or may serve as data source for meta-analysis.Stress is inevitably linked to life. It has many and complex facets. Notably, perception of stressful stimuli is an important factor when mounting stress responses and measuring its impact. Indeed, moved by the increasing number of stress-triggered pathologies, several groups drew on advanced neuroimaging techniques to explore stress effects on the brain. From that, several regions and circuits have been linked to stress, and a comprehensive integration of the distinct findings applied to common individuals is being pursued, but with conflicting results. Herein, we performed a volumetric regression analysis using participants' perceived stress as a variable of interest. Data shows that increased levels of perceived stress positively associate with the right amygdala and anterior hippocampal volumes.Osteoid osteoma is one of the osteoblastic benign bone tumors, which occurs frequently at the cortex of long bones, usually in the diaphysis or metadiaphysis. Although the tumor location in the bone varies, epiphyseal intramedullary osteoid osteoma has been rarely reported. Herein, we report a 14-year-old male patient with epiphyseal intramedullary osteoid osteoma, occurring at the distal radius, with magnetic resonance imaging findings.Traumatic injuries of the extensor tendons of the hand are common and are more frequent predisposed to tendon injuries due to the presence of chronic tendon damage. We present the case of a 61-year-old woman, tailor by profession, who showed acute rupture (80 %) with degenerative etiology of the extensor tendon of the V finger of the fifth level according to Kleinert and Verdan classification.Many research agencies are now requiring that data collected as part of funded projects be shared. However, the practice of data sharing in education sciences has lagged these funder requirements. We assert that this is likely because researchers' generally have not been made aware of these requirements and the benefits of data sharing. Furthermore, data sharing is usually not a part of formal training, so many researchers may be unaware how to properly share their data. Finally, the research culture in education science is often filled with concerns regarding the sharing of data. In this article, we address each of these areas, discussing the wide range of benefits of data sharing, the many ways data can be shared, provide a step by step guide to start sharing data, and responses to common concerns.As one of the most important estimators in classical statistics, the uniformly minimum variance unbiased estimator (UMVUE) has been adopted for point estimation in many statistical studies, especially for small sample problems. Moving beyond typical settings in the exponential distribution family, it is usually challenging to prove the existence and further construct such UMVUE in finite samples. For example in the ongoing Adaptive COVID-19 Treatment Trial (ACTT), it is hard to characterize the complete sufficient statistics of the underlying treatment effect due to pre-planned modifications to design aspects based on accumulated unblinded data. As an alternative solution, we propose a Deep Neural Networks (DNN) guided ensemble learning framework to construct an improved estimator from existing ones. We show that our estimator is consistent and asymptotically reaches the minimal variance within the class of linearly combined estimators. Simulation studies are further performed to demonstrate that our proposed estimator has considerable finite-sample efficiency gain. In the ACTT on COVID-19 as an important application, our method essentially contributes to a more ethical and efficient adaptive clinical trial with fewer patients enrolled.Under-representation of certain populations, based on gender, race/ethnicity, and age, in data collection for predictive modeling may yield less-accurate predictions for the under-represented groups. Recently, this issue of fairness in predictions has attracted significant attention, as data-driven models are increasingly utilized to perform crucial decision-making tasks. Methods to achieve fairness in the machine learning literature typically build a single prediction model subject to some fairness criteria in a manner that encourages fair prediction performances for all groups. These approaches have two major limitations i) fairness is often achieved by compromising accuracy for some groups; ii) the underlying relationship between dependent and independent variables may not be the same across groups. We propose a Joint Fairness Model (JFM) approach for binary outcomes that estimates group-specific classifiers using a joint modeling objective function that incorporates fairness criteria for prediction. We introduce an Accelerated Smoothing Proximal Gradient Algorithm to solve the convex objective function, and demonstrate the properties of the proposed JFM estimates. Next, we presented the key asymptotic properties for the JFM parameter estimates. We examined the efficacy of the JFM approach in achieving prediction performances and parities, in comparison with the Single Fairness Model, group-separate model, and group-ignorant model through extensive simulations. Finally, we demonstrated the utility of the JFM method in the motivating example to obtain fair risk predictions for under-represented older patients diagnosed with coronavirus disease 2019 (COVID-19).All pandemics are local; so learning about the impacts of pandemics on public health and related societal issues at granular levels is of great interest. Pterostilbene COVID-19 is affecting everyone in the globe and mask wearing is one of the few precautions against it. To quantify people's perception of mask effectiveness and to prevent the spread of COVID-19 for small areas, we use Understanding America Study's (UAS) survey data on COVID-19 as our primary data source. Our data analysis shows that direct survey-weighted estimates for small areas could be highly unreliable. In this paper we develop a synthetic estimation method to estimate proportions of mask effectiveness for small areas using a logistic model that combines information from multiple data sources. We select our working model using an extensive data analysis facilitated by a new variable selection criterion for survey data and benchmarking ratios. We propose a Jackknife method to estimate variance of our proposed estimator. From our data analysis. it is evident that our proposed synthetic method outperforms direct survey-weighted estimator with respect to commonly used evaluation measures.We introduce a minimalist outbreak forecasting model that combines data-driven parameter estimation with variational data assimilation. By focusing on the fundamental components of nonlinear disease transmission and representing data in a domain where model stochasticity simplifies into a process with independent increments, we design an approach that only requires four parameters to be estimated. We illustrate this novel methodology on COVID-19 forecasts. Results include case count and deaths predictions for the US and all of its 50 states, the District of Columbia, and Puerto Rico. The method is computationally efficient and is not disease- or location-specific. It may therefore be applied to other outbreaks or other countries, provided case counts and/or deaths data are available.Threonine aspartase 1 (TASP1) was reported to function in the development of cancer. However, the regulatory mechanism of TASP1 in gastric cancer (GC) remains unclear. In this study, we determined the expression of TASP1 in tissues of GC patients, GC cells by qRT-PCR, and western blot and assessed the relationship between TASP1 and GC cell proliferation and migration via CCK-8 and transwell assay. It was found that the expression of TASP1 in GC tissues or GC cell lines was significantly higher than that in normal adjacent tissues or normal cells. The proliferation and migration of GC cells were inhibited upon TASP1 knockdown. Mechanism investigation revealed that TASP1 promoted GC cell proliferation and migration through upregulating the p-AKT/AKT expression. TASP1 induced GC cell migration via the epithelial -mesenchymal transition (EMT) pathway. In conclusion, TASP1 promotes GC progression through the EMT and AKT/p-AKT pathway, and it may serve as a new potential biomarker and therapeutic target for GC.Stemming from a broader PhD project, this article argues that neoliberal post-feminist cultural sensibilities-entrenched in contemporary popular culture-about empowered, agentic and self-determining women, are regressive for the feminist advancement of gender-relational equality in the African context. To arrive at this conclusion, the central aim was to elucidate whether the gender-performative representations prioritised in the multimodal discourses of Afrobeats music videos are implicated in post-feminist sensibilities and if so, in what ways and to what effect? Given the continent's richly diverse, yet largely heteropatriarchal, sociocultural formations, I argue that ideas about empowered, agentic and self-determining (black) African women are-based on the limited purview offered through the multimodal discourses of a small corpus of Afrobeats music videos-no more than sociocultural façades as opposed to gender-relational realities in our context. The article relied on a multimodal critical discourse analysis of a total of nine music videos drawn from the PhD project's larger corpus of 25 Afrobeats music videos, their accompanying song lyrics, as well as a selection of YouTube viewer comments extracted from the analysed music videos. In critically exploring the gender-relational depictions prioritised in the analysed music videos, I argue for the consideration of what I am coining "misogyrom"; a gender-relational cultural sensibility which, in tandem with a post-feminist sensibility partly undergirding the multimodal discourses of these music videos, effectively veil this popular musical genre's evidently sexist and misogynistic undertones that subvert potentialities of empowered, agentic and self-determining black African women.This paper seeks to deal with the advance of Covid-19 in indigenous territories in Brazil, whether urban or rural. To do so, we have gone through a general analysis of the Brazilian government's indigenous policies, comparing bulletins and data from the Special Secretariat of Indigenous Health-Secretaria Especial de Saúde Indígena, an agency linked to the Ministry of Health, as well as data from the Articulation of Indigenous Peoples of Brazil, the main Brazilian indigenous political movement. Furthermore, we systematize strategies that have been developed and executed by some indigenous peoples in Brazil, undertaken by an exploratory analysis of manifestations of indigenous leaders on the internet, along with actions in the legal sphere, as well as, actions in the indigenous territory. Finally, the monoepistemic character of public policies on the issue is problematized.Dissemination of glioma in humans can occur as leptomeningeal nodules, diffuse leptomeningeal lesions, or ependymal lesions. Cerebrospinal fluid (CSF) drop metastasis of glioma is not well-recognized in dogs. Ten dogs with at least two anatomically distinct and histologically confirmed foci of glioma were included in this study. The 10 dogs underwent 28 magnetic resonance imaging (MRI) examinations, with distant CSF drop metastasis revealed in 13 MRIs. The CSF drop metastases appeared as leptomeningeal nodules in four dogs, diffuse leptomeningeal lesions in six dogs, and ependymal lesions in seven dogs; six dogs had a combination of lesion types. Primary tumors were generally T2-heterogeneous and contrast-enhancing. Many metastases were T2-homogeneous and non-enhancing. Diffuse leptomeningeal lesions were seen as widespread extra-axial contrast-enhancement, again very dissimilar to the intra-axial primary mass. Primary masses were rostrotentorial, whereas metastases generally occurred in the direction of CSF flow, in ventricles, CSF cisterns, and the central canal or leptomeninges of the cervical or thoracolumbar spinal cord.
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