Your Dollar Goes a Long Way

I feel abused. I\u27m neglected. Home economics students give me away every fall and then don\u27t pay any more attention to me

Delegate Heeds Warning To Bring Shopping Bags

Dear Diary, What a day! I met Lois Marra and Jan Waselkov in Chicago, and we boarded the 10:30 a.m. train for Cleveland. The train took such a long time to pull out of the station that we thought we\u27d have to push it. I noticed a girl in front of me get on with a hat box, coat, various packages, and a large suitcase. I knew she must be going to the American Home Economics Association Convention, too; so I introduced myself and found she was from Texas. When I thought of all the other girls I\u27d meet in Cleveland, the train couldn\u27t go fast enough

The Iowa Homemaker vol.41, no.6

What’s A “Senior Packet”?, Mary Ellen Muckenhirn, page 4 Speak Through Suiboku, Jan Wheeler, page 5 Your Culture – the Only One?, Anita Bask, page 6 Your Dollar Goes A Long Way, Jan Dodds, page 7 Tested Recipe for Teaching, Ann Sindt, page 8 A New View of the World, page 9 A Good Cook Never Meets A Stranger, Bernice Burns, page 12 ISU Graduate Still Studying, page 12 Communication in Business, Rachel Davis, page 13 Alumnae in the News, Diane Sharbo, page 1

The Iowa Homemaker vol.41, no.3

Discover People As A Resource, Dean LeBaron, page 5 Delegate Heeds Warning to Bring Shopping Bags, Jan Dodds, page 6 Ordinary Quarters?, Melva LaFrenz, page 8 The Homemaker, Deanne Stenstrom, page 9 Presenting: Six New Faces in Home Economics, Mary McKennan, page 10 Home Economists Help Solve Nation-wide Crises, Mary McKennan, page 12 Look Where You’re Going, page 13 HERS, page 14 HIS, Mary Ellen Muckenhirn and LaVeda Jansonius, page 15 Girls Give Training No Summer Vacation, Barb Pierson, page 1

Application of Low Coverage Genotyping by Sequencing in Selectively Bred Arctic Charr (Salvelinus alpinus)

Arctic charr (Salvelinus alpinus) is a species of high economic value for the aquaculture industry, and of high ecological value due to its Holarctic distribution in both marine and freshwater environments. Novel genome sequencing approaches enable the study of population and quantitative genetic parameters even on species with limited or no prior genomic resources. Low coverage genotyping by sequencing (GBS) was applied in a selected strain of Arctic charr in Sweden originating from a landlocked freshwater population. For the needs of the current study, animals from year classes 2013 (171 animals, parental population) and 2017 (759 animals; 13 full sib families) were used as a template for identifying genome wide single nucleotide polymorphisms (SNPs). GBS libraries were constructed using the PstI and MspI restriction enzymes. Approximately 14.5K SNPs passed quality control and were used for estimating a genomic relationship matrix. Thereafter a wide range of analyses were conducted in order to gain insights regarding genetic diversity and investigate the efficiency of the genomic information for parentage assignment and breeding value estimation. Heterozygosity estimates for both year classes suggested a slight excess of heterozygotes. Furthermore, F-ST estimates among the families of year class 2017 ranged between 0.009 - 0.066. Principal components analysis (PCA) and discriminant analysis of principal components (DAPC) were applied aiming to identify the existence of genetic clusters among the studied population. Results obtained were in accordance with pedigree records allowing the identification of individual families. Additionally, DNA parentage verification was performed, with results in accordance with the pedigree records with the exception of a putative dam where full sib genotypes suggested a potential recording error. Breeding value estimation for juvenile growth through the usage of the estimated genomic relationship matrix clearly outperformed the pedigree equivalent in terms of prediction accuracy (0.51 opposed to 0.31). Overall, low coverage GBS has proven to be a cost-effective genotyping platform that is expected to boost the selection efficiency of the Arctic charr breeding program

Heterologous expression screens in Nicotiana benthamiana identify a candidate effector of the wheat Yellow Rust Pathogen that associates with processing bodies

Rust fungal pathogens of wheat (Triticum spp.) affect crop yields worldwide. The molecular mechanisms underlying the virulence of these pathogens remain elusive, due to the limited availability of suitable molecular genetic research tools. Notably, the inability to perform high-throughput analyses of candidate virulence proteins (also known as effectors) impairs progress. We previously established a pipeline for the fast-forward screens of rust fungal candidate effectors in the model plant Nicotiana benthamiana. This pipeline involves selecting candidate effectors in silico and performing cell biology and protein-protein interaction assays in planta to gain insight into the putative functions of candidate effectors. In this study, we used this pipeline to identify and characterize sixteen candidate effectors from the wheat yellow rust fungal pathogen Puccinia striiformis f sp tritici. Nine candidate effectors targeted a specific plant subcellular compartment or protein complex, providing valuable information on their putative functions in plant cells. One candidate effector, PST02549, accumulated in processing bodies (P-bodies), protein complexes involved in mRNA decapping, degradation, and storage. PST02549 also associates with the P-body-resident ENHANCER OF mRNA DECAPPING PROTEIN 4 (EDC4) from N. benthamiana and wheat. We propose that P-bodies are a novel plant cell compartment targeted by pathogen effectors

Real world uptake, safety profile and outcomes of docetaxel in newly diagnosed metastatic prostate cancer

Objectives: To investigate the uptake, safety and efficacy of docetaxel chemotherapy in hormone-naïve metastatic prostate cancer (mPC) in the first year of use outside of a clinical trial. Subjects/patients and Methods: Patients in the West of Scotland Cancer Network (WoSCAN) with newly diagnosed mPC were identified from the regional multidisciplinary team (MDT) meetings and their treatment details were collected from electronic patient records. The rate of febrile neutropenia, hospitalisations, time to progression and overall survival were compared between those patients who received docetaxel and androgen deprivation therapy (ADT), or ADT alone using survival analysis. Results: Out of 270 eligible patients, 103 received docetaxel (38.1%). 35 patients (34%) were hospitalised and there were 17 episodes of febrile neutropenia (16.5%). Two patients (1.9%) died within 30 days of chemotherapy. Patients who received ADT alone had an increased risk of progression (HR 2.03, 95% CI (1.27, 3.25), log-rank test, p= 0.002) and had an increased risk of death (HR 5.88, 95% CI 2.52, 13.72, log-rank p=0.001) compared to the docetaxel group. The risk of febrile neutropenia was nine times greater if chemotherapy was started within three weeks of ADT initiation (95% CI (1.22,77.72) p= 0.032). Conclusion: Docetaxel chemotherapy in hormone-naïve mPC has significant toxicities, but has a similar effect on time to progression and overall survival as seen in randomised trials. Chemotherapy should be started 3 weeks or more after androgen deprivation

Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

As large language models (LLMs) perform more difficult tasks, it becomes harder to verify the correctness and safety of their behavior. One approach to help with this issue is to prompt LLMs to externalize their reasoning, e.g., by having them generate step-by-step reasoning as they answer a question (Chain-of-Thought; CoT). The reasoning may enable us to check the process that models use to perform tasks. However, this approach relies on the stated reasoning faithfully reflecting the model's actual reasoning, which is not always the case. To improve over the faithfulness of CoT reasoning, we have models generate reasoning by decomposing questions into subquestions. Decomposition-based methods achieve strong performance on question-answering tasks, sometimes approaching that of CoT while improving the faithfulness of the model's stated reasoning on several recently-proposed metrics. By forcing the model to answer simpler subquestions in separate contexts, we greatly increase the faithfulness of model-generated reasoning over CoT, while still achieving some of the performance gains of CoT. Our results show it is possible to improve the faithfulness of model-generated reasoning; continued improvements may lead to reasoning that enables us to verify the correctness and safety of LLM behavior.Comment: For few-shot examples and prompts, see https://github.com/anthropics/DecompositionFaithfulnessPape

Recruiting Injection Drug Users: A Three-Site Comparison of Results and Experiences with Respondent-Driven and Targeted Sampling Procedures

Several recent studies have utilized respondent-driven sampling (RDS) methods to survey hidden populations such as commercial sex-workers, men who have sex with men (MSM) and injection drug users (IDU). Few studies, however, have provided a direct comparison between RDS and other more traditional sampling methods such as venue-based, targeted or time/space sampling. The current study sampled injection drug users in three U.S. cities using RDS and targeted sampling (TS) methods and compared their effectiveness in terms of recruitment efficiency, logistics, and sample demographics. Both methods performed satisfactorily. The targeted method required more staff time per-recruited respondent and had a lower proportion of screened respondents who were eligible than RDS, while RDS respondents were offered higher incentives for participation

Comment on "How green is blue hydrogen?"

This paper is written in response to the paper “How green is blue hydrogen?” by R. W. Howarth and M. Z. Jacobson. It aims at highlighting and discussing the method and assumptions of that paper, and thereby providing a more balanced perspective on blue hydrogen, which is in line with current best available practices and future plant specifications aiming at low CO2 emissions. More specifically, in this paper, we show that: (i) the simplified method that Howarth and Jacobson used to compute the energy balance of blue hydrogen plants leads to significant overestimation of CO2 emissions and natural gas (NG) consumption and (ii) the assumed methane leakage rate is at the high end of the estimated emissions from current NG production in the United States and cannot be considered representative of all-NG and blue hydrogen value chains globally. By starting from the detailed and rigorously calculated mass and energy balances of two blue hydrogen plants in the literature, we show the impact that methane leakage rate has on the equivalent CO2 emissions of blue hydrogen. On the basis of our analysis, we show that it is possible for blue hydrogen to have significantly lower equivalent CO2 emissions than the direct use of NG, provided that hydrogen production processes and CO2 capture technologies are implemented that ensure a high CO2 capture rate, preferably above 90%, and a low-emission NG supply chain