Reinforced hetero-normativity: gender constructs in Chosŏn (朝鮮) Korea

During Korea’s Chosŏn dynasty (朝鮮; 1392-1910), strictly codified heteronormalising gender constructs emerged, which for all intents and purposes undermined the possibility of homosexuality to exist in either private or public spaces. By drawing on contemporary critical theorists such as Hélène Cixous and Luce Irigaray, this paper critiques the socio-historical constructs of gender identity in Korea shaped during this period. Such critiques expose the inherent inequalities of hierarchical ‘gender traditions’ that are reinforced through patriarchies, which in the case of Chosŏn, commemorated the patrilineal genealogies of (supposedly) heterosexual men from the past. I will begin by dismantling notions of gender during this period, which was manipulated and rigidly constructed by (mis)using Neo-Confucian texts and metaphysics, inherited from the Chinese philosopher Zhu Xi (朱熹, 1130-1200). Zhu’s Reflections on Things at Hand, sought to regulate the family, while his Lesser Learning, reiterated rules that facilitated the suppression of women as daughters, wives, and even mothers. While commemorating ‘great men’ and emphasising ideals of ‘good women’, a gender ideology was implanted within the social matrix and recorded from one generation to the next in genealogical records known as chokpo (族譜). This hetero-normative way-of-being was enforced in legal texts and through literature by men, which yoked women into artificially orchestrated modes of behaviour that would also be transmitted by women themselves via texts that they themselves sometimes wrote and distributed. These ideas continue to influence modern Korean society, where women still struggle to dismantle out-dated modes of social expectations, and where the LGBTQ community is only starting to assert themselves and reject ‘compulsive’ hetero-normativity

On a minimal model for estimating climate sensitivity

In a recent issue of this journal, Loehle (2014) presents a "minimal model" for estimating climate sensitivity, identical to that previously published by Loehle and Scafetta (2011). The novelty in the more recent paper lies in the straightforward calculation of an estimate of transient climate response based on the model and an estimate of equilibrium climate sensitivity derived therefrom, via a flawed methodology. We demonstrate that the Loehle and Scafetta model systematically underestimates the transient climate response, due to a number of unsupportable assumptions regarding the climate system. Once the flaws in Loehle and Scafetta's model are addressed, the estimates of transient climate response and equilibrium climate sensitivity derived from the model are entirely consistent with those obtained from general circulation models, and indeed exclude the possibility of low climate sensitivity, directly contradicting the principal conclusion drawn by Loehle. Further, we present an even more parsimonious model for estimating climate sensitivity. Our model is based on observed changes in radiative forcings, and is therefore constrained by physics, unlike the Loehle model, which is little more than a curve-fitting exercise

How Knowledge Transfer Impact Happens at the Farm Level: Insights from Advisers and Farmers in the Irish Agricultural Sector

Many studies show that interaction with agricultural advisory services impacts productivity and profitability on farms. However, less attention is paid to explaining how this impact is achieved. This paper explores the factors that determine the implementation of newly learned knowledge from advisory engagement to achieve an impact on farm level performance. Focusing on the Irish case, a series of semi-structured interviews from a purposive sample of advisers and farmers from the more profitable dairy sector were undertaken to analyse the key drivers of impact. Results show that a combination of group-based and individual activities based on relevant content focused on key management practices for grassland, breeding, and financial management were key to achieving impact. Furthermore, positive outcomes were dependent on a high degree of trust between the farmer and the organisation, between the farmer and the adviser, and between the farmer and their peers. The findings indicate that while some barriers remain for farmers to apply newly learned knowledge, those that do implement the practices report a positive impact. This has implications for knowledge transfer design which is timely given the focus on these activities in the upcoming Common Agricultural Policy 2023–2027

How Knowledge Transfer Impact Happens at the Farm Level: Insights from Advisers and Farmers in the Irish Agricultural Sector

Many studies show that interaction with agricultural advisory services impacts productivity and profitability on farms. However, less attention is paid to explaining how this impact is achieved. This paper explores the factors that determine the implementation of newly learned knowledge from advisory engagement to achieve an impact on farm level performance. Focusing on the Irish case, a series of semi-structured interviews from a purposive sample of advisers and farmers from the more profitable dairy sector were undertaken to analyse the key drivers of impact. Results show that a combination of group-based and individual activities based on relevant content focused on key management practices for grassland, breeding, and financial management were key to achieving impact. Furthermore, positive outcomes were dependent on a high degree of trust between the farmer and the organisation, between the farmer and the adviser, and between the farmer and their peers. The findings indicate that while some barriers remain for farmers to apply newly learned knowledge, those that do implement the practices report a positive impact. This has implications for knowledge transfer design which is timely given the focus on these activities in the upcoming Common Agricultural Policy 2023–2027

Description of the data from the Collaborative Study on the Genetics of Alcoholism (COGA) and single-nucleotide polymorphism genotyping for Genetic Analysis Workshop 14

The data provided to the Genetic Analysis Workshop 14 (GAW 14) was the result of a collaboration among several different groups, catalyzed by Elizabeth Pugh from The Center for Inherited Disease Research (CIDR) and the organizers of GAW 14, Jean MacCluer and Laura Almasy. The DNA, phenotypic characterization, and microsatellite genomic survey were provided by the Collaborative Study on the Genetics of Alcoholism (COGA), a nine-site national collaboration funded by the National Institute of Alcohol and Alcoholism (NIAAA) and the National Institute of Drug Abuse (NIDA) with the overarching goal of identifying and characterizing genes that affect the susceptibility to develop alcohol dependence and related phenotypes. CIDR, Affymetrix, and Illumina provided single-nucleotide polymorphism genotyping of a large subset of the COGA subjects. This article briefly describes the dataset that was provided

A cross-sectional survey investigating women's information sources, behaviour, expectations, knowledge and level of satisfaction on advice received about diet and supplements before and during pregnancy

Background The reported long-term effects of poor maternal nutrition and uptake of recommended supplements before and during pregnancy was the impetus behind this study. Our objectives were to investigate and understand women’s expectations, knowledge, behaviour and information sources used regarding the use of nutrition and vitamin supplements before and during pregnancy. Methods A cross-sectional survey using a self-administered questionnaire was undertaken. A purposive sampling technique was used. Women attending the antenatal clinic at Croydon University Hospital during 2015 were invited to take part in the study. The data was analysed using descriptive statistics, paired sample T-tests and Chi-squared tests, with the level of significance set at 5% (p < 0.05). Results A total of 133 pregnant women completed the survey. Analysis of the results showed that women are currently using electronic resources (33%, n = 42) rather than healthcare professionals (19%, n = 25) as an information source before pregnancy. Women who sourced information through the internet were significantly more likely to take folic acid (p = 0.006) and vitamin D (p = 0.004) before pregnancy. Women preferred to receive information from the antenatal clinic (62%, n = 83), internet (46%, n = 61) and from mobile applications (27%, n = 36). Although women believed they had sufficient knowledge (60%, n = 80) and had received adequate advice (53%, n = 70) concerning the correct supplements to take, this was not demonstrated in their behaviour, with only a small number of women (37%, n = 49) taking a folic acid supplement before pregnancy. Women mistakenly perceived the timing of supplement advice as correct, with only a small number of women (18%, n = 23) considering the advice on supplements as too late. Conclusions Despite the small sample size, this study demonstrated that women did not receive timely and/or accurate advice to enable them to take the recommended supplements at the optimal time. Women had the misconception that they understood the correct use of pregnancy supplements. This misunderstanding may be prevented by providing women intending to become pregnant with a structured, approved electronic source of information that improves their supplements uptake

Differential analysis for high density tiling microarray data

<p>Abstract</p> <p>Background</p> <p>High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The <it>ab initio </it>probe selection method employed in tiling arrays is unbiased, and thus ensures consistent sampling across coding and non-coding regions of the genome. These arrays are being increasingly used to study the associated processes of transcription, transcription factor binding, chromatin structure and their association. Studies of differential expression and/or regulation provide critical insight into the mechanics of transcription and regulation that occurs during the developmental program of a cell. The time-course experiment, which comprises an <it>in-vivo </it>system and the proposed analyses, is used to determine if annotated and un-annotated portions of genome manifest coordinated differential response to the induced developmental program.</p> <p>Results</p> <p>We have proposed a novel approach, based on a piece-wise function – to analyze genome-wide differential response. This enables segmentation of the response based on protein-coding and non-coding regions; for genes the methodology also partitions differential response with a 5' versus 3' versus intra-genic bias.</p> <p>Conclusion</p> <p>The algorithm built upon the framework of Significance Analysis of Microarrays, uses a generalized logic to define regions/patterns of coordinated differential change. By not adhering to the gene-centric paradigm, discordant differential expression patterns between exons and introns have been identified at a FDR of less than 12 percent. A co-localization of differential binding between RNA Polymerase II and tetra-acetylated histone has been quantified at a p-value < 0.003; it is most significant at the 5' end of genes, at a p-value < 10^-13. The prototype R code has been made available as supplementary material [see Additional file <supplr sid="S1">1</supplr>].</p> <suppl id="S1"> <title> <p>Additional file 1</p> </title> <text> <p>gsam_prototypercode.zip. File archive comprising of prototype R code for gSAM implementation including readme and examples.</p> </text> <file name="1471-2105-8-359-S1.zip"> <p>Click here for file</p> </file> </suppl

Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial.

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration: ClinicalTrials.gov Identifier: NCT02735707