Mediator Impartiality and Mediator Interest

Scholars have debated whether mediator impartiality or mediator interest plays a more vital role in bringing about a successful outcome. This research develops a comprehensive model that accounts for mediation occurrence and medication outcome in terms of an additive model of both mediator impartiality and mediator interest. The two channels through which mediators influence the changes of mediation and occurrence and outcome are hypothesized to be two dimensions of trust, mediator fairness and mediator capacity. This research argues 1) that mediator impartiality contributes to successful mediation outcomes by improving disputants’ trust in mediators’ fairness and 2) that mediator interest increases the likelihood of successful mediation outcomes by improving disputants’ trust in mediators’ capacity. Therefore, this research hypothesizes that the levels of mediators’ impartiality and mediators’ interest do not have individual effects on mediation occurrence and outcome. It argues, rather, that the additive level of the two variables determines the likelihood of mediation occurrence and successful outcome. The hypotheses of this research are tested using quantitative analysis of 294 interstate mediation cases carried out by states between 1945 and 1999 and qualitative analyses of the Philippines’ mediation of the Borneo dispute between Malaya and Indonesia in 1964 and Syria’s mediation of the border dispute between North Yemen and South Yemen in 1979. Both sets of analyses support the researcher’s claim that it is the additive level of impartiality and interest, rather than the individual level of both variables, that affects the chance of mediation success being achieved

Improper hydration induces global gene expression changes associated with renal development in infant mice

Abstract Background The kidney is a major organ in which fluid balance and waste excretion is regulated. For the kidney to achieve maturity with functions, normal renal developmental processes need to occur. Comprehensive genetic programs underlying renal development during the prenatal period have been widely studied. However, postnatal renal development, from infancy to the juvenile period, has not been studied yet. Here, we investigated whether structural and functional kidney development was still ongoing in early life by analyzing the renal transcriptional networks of infant (4 weeks old) and juvenile (7 weeks old) mice. We further examined the effects of dehydration on kidney development to unravel the mechanistic bases underlying deteriorative impact of pediatric dehydration on renal development. Methods 3-week-old infant mice that just finished weaning period were provided limited access to a water for fifteen minutes per day for one week (RES 1W) and four weeks (RES 4W) to induce dehydration while control group consumed water ad libitum with free access to the water bottle. Transcriptome analysis was conducted to understand physiological changes during postnatal renal development and dehydration. Results Kidneys in 4-week- and 7-week-old mice showed significantly distinctive functional gene networks. Gene sets related to cell cycle regulators, fetal kidney patterning molecules, and immature basement membrane integrity were upregulated in infantile kidneys while heightened expressions of genes associated with ion transport and drug metabolism were observed in juvenile kidneys. Dehydration during infancy suppressed renal growth by interrupting the SHH signaling pathway, which targets cell cycle regulators. Importantly, it is likely that disruption of the developmental program ultimately led to a decline in gene expression associated with basement membrane integrity. Conclusions Altogether, we demonstrate transcriptional events during renal development in infancy and show that the impacts of inadequate water intake in the early postnatal state heavily rely on the impairment of normal renal development. Here, we provide a meaningful perspective of renal development in infancy with a molecular and physiological explanation of why infants are more vulnerable to dehydration than adults. These results provide new insights into the molecular effects of dehydration on renal physiology and indicate that optimal nutritional interventions are necessary for pediatric renal development

Wheat stripe rust grading by deep learning with attention mechanism and images from mobile devices

Wheat stripe rust is one of the main wheat diseases worldwide, which has significantly adverse effects on wheat yield and quality, posing serious threats on food security. Disease severity grading plays a paramount role in stripe rust disease management including breeding disease-resistant wheat varieties. Manual inspection is time-consuming, labor-intensive and prone to human errors, therefore, there is a clearly urgent need to develop more effective and efficient disease grading strategy by using automated approaches. However, the differences between wheat leaves of different levels of stripe rust infection are usually tiny and subtle, and, as a result, ordinary deep learning networks fail to achieve satisfying performance. By formulating this challenge as a fine-grained image classification problem, this study proposes a novel deep learning network C-DenseNet which embeds Convolutional Block Attention Module (CBAM) in the densely connected convolutional network (DenseNet). The performance of C-DenseNet and its variants is demonstrated via a newly collected wheat stripe rust grading dataset (WSRgrading dataset) at Northwest A&F University, Shaanxi Province, China, which contains a total of 5,242 wheat leaf images with 6 levels of stripe rust infection. The dataset was collected by using various mobile devices in the natural field condition. Comparative experiments show that C-DenseNet with a test accuracy of 97.99% outperforms the classical DenseNet (92.53%) and ResNet (73.43%). GradCAM++ network visualization also shows that C-DenseNet is able to pay more attention to the key areas in making the decision. It is concluded that C-DenseNet with an attention mechanism is suitable for wheat stripe rust disease grading in field conditions

Effect of pitavastatin on erythrocyte membrane fatty acid content in patients with chronic kidney disease: two-arm parallel randomized controlled trial.

BACKGROUND: Statins reduce the risk of cardiovascular events in patients with chronic kidney disease (CKD). Although diabetes mellitus (DM) is a reported side effect of statin treatment, some studies have indicated that pitavastatin does not cause DM. The present study investigated the effect of pitavastatin on the fatty acid (FA) content of erythrocyte membranes, which affects the occurrence of DM and cardiovascular diseases. In addition, changes in adiponectin and glycated hemoglobin (HbA1c) levels were evaluated after pitavastatin treatment. METHODS: A total of 45 patients were enrolled, 28 of whom completed the study. Over 24 weeks, 16 patients received 2 mg pitavastatin and 12 patients received 10 mg atorvastatin. Dosages were adjusted after 12 weeks if additional lipid control was required. There were 10 and nine patients with DM in the pitavastatin and atorvastatin groups, respectively. Erythrocyte membrane FAs and adiponectin levels were measured using gas chromatography and enzyme-linked immunosorbent assay, respectively. RESULTS: In both groups, saturated FAs, palmitic acid, trans-oleic acid, total cholesterol, and low-density lipoprotein cholesterol levels were significantly lower than those at baseline. The arachidonic acid (AA) content in the erythrocyte membrane increased significantly in the pitavastatin group, but adiponectin levels were unaffected. HbA1c levels decreased in patients treated with pitavastatin. No adverse effects were associated with statin treatment. CONCLUSION: Pitavastatin treatment in patients with CKD may improve glucose metabolism by altering erythrocyte membrane AA levels. In addition, pitavastatin did not adversely affect glucose control in patients with CKD and DM

Men on the road: beggars and vagrants in early modern drama (William Shakespeare, John Fletcher, and Richard Brome)

This dissertation examines beggars, gypsies, rogues, and vagrants presented in early modern English drama, with the discussion of how these peripatetic characters represent the discourses of vagrancy of the period. The first chapter introduces Tudor and early Stuart governments' legislation and proclamations on vagabondage and discusses these governmental policies in their social and economic contexts. The chapter also deals with the literature of roguery to point out that the literature (especially in the Elizabethan era) disseminated such a negative image of beggars as impostors and established the antagonistic atmosphere against the wandering poor. The second chapter explores the anti-theatrical aspect of the discourses of vagrancy. Along with the discussion of early playing companies' traveling convention, this chapter investigates how the long-held association of players with beggars is addressed in the plays that are dated from the early 1570s to the closing of the playhouses in 1642. In the third chapter I read Shakespeare's King Lear with the focus on its critical allusions to the discourses of vagrancy and interpret King Lear's symbolic experience of vagrancy in that context. The chapter demonstrates that King Lear represents the spatial politics embedded in the discourses of vagrancy and evokes a sympathetic understanding of the wandering poor. Chapter IV focuses on Beggars' Bush and analyzes the beggars' utopian community in the play. By juxtaposing the play with a variety of documents relating to the vagrancy issue in the early seventeen century, I contend that Beggars' Bush reflects the cultural aspirations for colonial enterprises in the early Stuart age. Chapter V examines John Taylor's conceptualization of vagrancy as a trope of travel and free mobility, and discusses the "wanderlust" represented in A Jovial Crew: Merry Beggars as an exemplary anecdote showing the mid seventeenth century's perceptions on vagrancy and spatial mobility. Thus, by exploring diverse associations and investments regarding vagrants, this study demonstrates that the early modern discourses of vagrancy have been informed and inflected by shifting economic, socio-historical, and national interests and demands

New Architecture for EIA-709.1 Protocol Implementation

This paper proposes a new architecture for EIA-709.1protocol implementation. The protocol is conventionallyimplemented with the proprietary processor and language,Neuron chip and Neuron C, respectively, where the Neuron chipconsists of 3 processors inside. The proposed architecture usesonly one general purpose processor and general ANSI C toimplement the layers of EIA-709.1 except the physical layer. Thedata link, network, and other layers are implemented onto oneRISC processor, ARM. Specifically, the data link layer of theEIA-709.1 based on predictive p-persistent CSMA/CA isimplemented. The interface between the transceiver based onpower line communication and the data link layer based on theARM is described. As a conclusion, this research shows theimprovement of performance and the compatibility with theexisting Neuron chip

Dual quadratic differentials and entire minimal graphs in Heisenberg space

We define holomorphic quadratic differentials for spacelike surfaces with constant mean curvature in the Lorentzian homogeneous spaces $\mathbb{L}(\kappa,\tau)$ with isometry group of dimension 4, which are dual to the Abresch-Rosenberg differentials in the Riemannian counterparts $\mathbb{E}(\kappa,\tau)$, and obtain some consequences. On the one hand, we give a very short proof of the Bernstein problem in Heisenberg space, and provide a geometric description of the family of entire graphs sharing the same differential in terms of a 2-parameter conformal deformation. On the other hand, we prove that entire minimal graphs in Heisenberg space have negative Gauss curvature.Comment: 19 page