Power in a social exchange: To what extent are decisions about fertility “shared” within intimate relationships?

There is disagreement in the literature regarding how fertility decision-making is shared within heterosexual couples. It was predicted that more egalitarian attitudes, more equivalent levels of education, and more equivalent levels of careerorientation would be associated with greater compromise and agreement in fertility negotiations. Heterosexual couples (N = 120, Mage= 21, SDage= 4.96) were asked to discuss both their family planning and financial planning intentions. These discussions were transcribed and then coded by three independent coders for statements indicative of inequitable power (concessions, persuasion, and disagreement) and equitable power (compromise and agreement). We found that the similarity of couples’ gender role attitudes and career-orientations did not predict their use of compromise or persuasion. However, individuals with higher levels of education were more likely to use persuasion and disagreement statements in their fertility discussions. Females and males were equally likely to use compromise, persuasion, and concession when discussing their plans

From reading numbers to seeing ratios: a benefit of icons for risk comprehension

Promoting a better understanding of statistical data is becoming increasingly important for improving risk comprehension and decision-making. In this regard, previous studies on Bayesian problem solving have shown that iconic representations help infer frequencies in sets and subsets. Nevertheless, the mechanisms by which icons enhance performance remain unclear. Here, we tested the hypothesis that the benefit offered by icon arrays lies in a better alignment between presented and requested relationships, which should facilitate the comprehension of the requested ratio beyond the represented quantities. To this end, we analyzed individual risk estimates based on data presented either in standard verbal presentations (percentages and natural frequency formats) or as icon arrays. Compared to the other formats, icons led to estimates that were more accurate, and importantly, promoted the use of equivalent expressions for the requested probability. Furthermore, whereas the accuracy of the estimates based on verbal formats depended on their alignment with the text, all the estimates based on icons were equally accurate. Therefore, these results support the proposal that icons enhance the comprehension of the ratio and its mapping onto the requested probability and point to relational misalignment as potential interference for text-based Bayesian reasoning. The present findings also argue against an intrinsic difficulty with understanding single-event probabilities

Conceptual Design of a Prototype LSST Database

This document describes a preliminary design for Prototype LSST Database (LSST DB). They identify key components and data structures and provide an expandable conceptual schema for the database. The authors discuss the potential user applications and post-processing algorithm to interact with the database, and give a set of example queries

Design, synthesis, crystal structures and biological evaluation of some 1,3-thiazolidin-4-ones as dual CDK2/EGFR potent inhibitors with potential apoptotic antiproliferative effects

A series of novel thiazolidine-4-one derivatives was synthesized by reacting 1,4disubstituted hydrazine carbothioamides with diethyl azodicarboxylate. The structures were confirmed by spectroscopic data as well as single-crystal X-ray analyses. The antiproliferative activity of the synthesized compounds was investigated against four human cancer cell lines using an MTT assay. Compounds 5d, 5e, and 5f revealed the most potent antiproliferative activity with GI50 values ranging from 0.70 mM to 1.20 mM, compared to doxorubicin GI50 value = 1.10 mM. Compounds 5d, 5e, and 5f were further investigated for their inhibitory activities against CDK2 and EGFR as potential targets for their molecular mechanism. Compounds 5e and 5f have showed potent inhibitory activity to CDK2 enzyme with IC50 values of 18 and 14 nM, which is more potent than the reference dinaciclib (IC50 = 20 nM). Moreover, compounds 5e and 5f were the most potent EGFR inhibitors, with IC50 values of 93 and 87 nM, respectively, compared to the reference erlotinib (IC50 = 70 nM). In addition, the most potent derivatives were tested for their apoptotic activity against caspases 3, 8, and 9, and the results showed that compounds 5d, 5e, and 5f revealed a greater increase in active caspases 3,8 and 9 than doxorubicin. Also, compounds 5d, 5e, and 5f elevated cytochrome C levels in the MCF-7 human breast cancer cell line by about 15.5, 15.8, and 16.5 times, respectively. Finally, a molecular docking study was performed to investigate the binding sites of these compounds within the active sites of CDK2 and EGFR targets, and the results confirmed that the most potent CDK2 and EGFR inhibitor 5h also have showed the highest docking (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Peer reviewe

Middleware for Astronomical Data Analysis Pipelines

In this paper the authors describe the approach to research, develop, and evaluate prototype middleware tools and architectures. The developed tools can be used by scientists to compose astronomical data analysis pipelines easily. They use the SuperMacho data pipelines as example applications to test the framework. they describe their experience from scheduling and running these analysis pipelines on massive parallel processing machines. they use MCR a Linux cluster machine with 1152 nodes and Luster parallel file system as the hardware test-bed to test and enhance the scalability of the tools

HER2 and ESR1 mRNA expression levels and response to neoadjuvant trastuzumab plus chemotherapy in patients with primary breast cancer

Introduction: Recent data suggest that benefit from trastuzumab and chemotherapy might be related to expression of HER2 and estrogen receptor (ESR1). Therefore, we investigated HER2 and ESR1 mRNA levels in core biopsies of HER2-positive breast carcinomas from patients treated within the neoadjuvant GeparQuattro trial. Methods: HER2 levels were centrally analyzed by immunohistochemistry (IHC), silver in-situ hybridization (SISH) and qRT-PCR in 217 pretherapeutic formalin-fixed, paraffin-embedded (FFPE) core biopsies. All tumors had been HER2-positive by local pathology and had been treated with neoadjuvant trastuzumab/ chemotherapy in GeparQuattro. Results: Only 73% of the tumors (158 of 217) were centrally HER2-positive (cHER2-positive) by IHC/SISH, with cHER2-positive tumors showing a significantly higher pCR rate (46.8% vs. 20.3%, p<0.0005). HER2 status by qRT-PCR showed a concordance of 88.5% with the central IHC/SISH status, with a low pCR rate in those tumors that were HER2-negative by mRNA analysis (21.1% vs. 49.6%, p<0.0005). The level of HER2 mRNA expression was linked to response rate in ESR1-positive tumors, but not in ESR1-negative tumors. HER2 mRNA expression was significantly associated with pCR in the HER2-positive/ESR1-positive tumors (p=0.004), but not in HER2-positive/ESR1-negative tumors. Conclusions: Only patients with cHER2-positive tumors - irrespective of the method used - have an increased pCR rate with trastuzumab plus chemotherapy. In patients with cHER2-negative tumors the pCR rate is comparable to the pCR rate in the non-trastuzumab treated HER-negative population. Response to trastuzumab is correlated to HER2 mRNA levels only in ESR1-positive tumors. This study adds further evidence to the different biology of both subsets within the HER2-positive group

The Gossypium longicalyx genome as a resource for cotton breeding and evolution

Cotton is an important crop that has made significant gains in production over the last century. Emerging pests such as the reniform nematode have threatened cotton production. The rare African diploid specie

Image Content Engine (ICE): A System for Fast Image Database Searches

The Image Content Engine (ICE) is being developed to provide cueing assistance to human image analysts faced with increasingly large and intractable amounts of image data. The ICE architecture includes user configurable feature extraction pipelines which produce intermediate feature vector and match surface files which can then be accessed by interactive relational queries. Application of the feature extraction algorithms to large collections of images may be extremely time consuming and is launched as a batch job on a Linux cluster. The query interface accesses only the intermediate files and returns candidate hits nearly instantaneously. Queries may be posed for individual objects or collections. The query interface prompts the user for feedback, and applies relevance feedback algorithms to revise the feature vector weighting and focus on relevant search results. Examples of feature extraction and both model-based and search-by-example queries are presented

ER and HER2 expression are positively correlated in HER2 non-overexpressing breast cancer

PMCID: PMC3446380This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited