A Three-Step Resolution-Reconfigurable Hazardous Multi-Gas Sensor Interface for Wireless Air-Quality Monitoring Applications

This paper presents a resolution-reconfigurable wide-range resistive sensor readout interface for wireless multi-gas monitoring applications that displays results on a smartphone. Three types of sensing resolutions were selected to minimize processing power consumption, and a dual-mode front-end structure was proposed to support the detection of a variety of hazardous gases with wide range of characteristic resistance. The readout integrated circuit (ROIC) was fabricated in a 0.18 ??m CMOS process to provide three reconfigurable data conversions that correspond to a low-power resistance-to-digital converter (RDC), a 12-bit successive approximation register (SAR) analog-to-digital converter (ADC), and a 16-bit delta-sigma modulator. For functional feasibility, a wireless sensor system prototype that included in-house microelectromechanical (MEMS) sensing devices and commercial device products was manufactured and experimentally verified to detect a variety of hazardous gases

Associations between maternal stress during pregnancy and offspring internalizing and externalizing problems in childhood

BACKGROUND: Maternal psychological health during pregnancy has been associated with offspring psychopathology. However, it is uncertain whether these associations are mediated by the postpartum depression and related child-rearing factors. Therefore, we examined the associations between prenatal and postnatal factors and internalizing and externalizing behavioral problems in childhood, focusing on maternal psychological health in school-aged children in Korea. FINDINGS: The current study included 1,003 children (580 boys, 423 girls, mean age 9.05 ± 0.70 years, age range 8–11 years) recruited from schools in five Korean cities. Children’s internalizing and externalizing problems were assessed by the Child Behavior Checklist (CBCL). The parents of the children completed structured questionnaires on perinatal factors. Among 1,003 children, 44 had internalizing problems (IP) and 30 had externalizing problems (EP). When comparing children with IP (n = 44) and without IP (n = 959), severe maternal stress during pregnancy (OR3.36, 95% CI 1.80-6.25) and postpartum depression (OR3.19, 95% CI 1.36-7.53) showed a significant association with the IP. When comparing children with EP (n = 30) and without EP (n = 973), low family income (OR2.19, 95% CI 1.05-4.56), unwanted pregnancy (OR2.76, 95% CI 1.28-5.95) and severe maternal stress during pregnancy (OR2.69, 95% CI 1.29-5.61) with the EP. Only maternal stress during pregnancy was significantly associated with the IP after controlling for postpartum depression and with the EP after controlling for family income and unwanted pregnancy. CONCLUSION: This study suggests the importance of maternal psychological health during perinatal period on children’s mental health. Further prospective studies in a larger sample are required to confirm our findings

Development of protocols to quantify the twinning stress of a CoCrFeMnNi high entropy alloy108

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A Study on the Research Trends of Big Data at Public Libraries : with a Focus on the Journal “Public Library Quarterly”

This study aims to analyze big data-related research trends in the public library field using the social network analysis method. One hundred seventeen articles published in the journal ‘Public Library Quarterly’ were analyzed with author keywords and the frequency, degree centrality, and betweenness centrality of the keywords were examined. The keywords “programs” and “community development” had the highest degree centrality. the keywords “programs,” “strategic planning,” “community development,” “future of libraries,” “outreach,” and “evaluation” post a high degree of centrality and betweenness centrality. The keywords “measurement,” “survey,” “community partnerships,” and “community engagement” showed a high degree of centrality but not high betweenness centrality. On the other hand, the keywords “planning,” “marketing,” “community needs,” and “community building” showed high betweenness centrality but not high degree centrality. Based on the results of this study, public libraries should focus on the following research directions when focusing on big data. First, as mentioned above, a more in-depth discussion is needed regarding COVID-19 and social media. Second, academic interest in big data education and training for public librarians and educational content is needed. Third, public libraries should think about ways to efficiently perform their role as a local data center, including cooperation with other organizations in the local community

What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception

Eliciting feedback from end users of NLP models can be beneficial for improving models. However, how should we present model responses to users so they are most amenable to be corrected from user feedback? Further, what properties do users value to understand and trust responses? We answer these questions by analyzing the effect of rationales (or explanations) generated by QA models to support their answers. We specifically consider decomposed QA models that first extract an intermediate rationale based on a context and a question and then use solely this rationale to answer the question. A rationale outlines the approach followed by the model to answer the question. Our work considers various formats of these rationales that vary according to well-defined properties of interest. We sample rationales from language models using few-shot prompting for two datasets, and then perform two user studies. First, we present users with incorrect answers and corresponding rationales in various formats and ask them to provide natural language feedback to revise the rationale. We then measure the effectiveness of this feedback in patching these rationales through in-context learning. The second study evaluates how well different rationale formats enable users to understand and trust model answers, when they are correct. We find that rationale formats significantly affect how easy it is (1) for users to give feedback for rationales, and (2) for models to subsequently execute this feedback. In addition, formats with attributions to the context and in-depth reasoning significantly enhance user-reported understanding and trust of model outputs.Comment: Accepted to NAACL 2024. Code & data available at https://github.com/chaitanyamalaviya/rationale_format

How to avoid FIB-milling artefacts in micro fracture? A new geometry for interface fracture

Focused ion beam (FIB) based small-scale fracture studies have been well established in recent years despite the ongoing discussion of possible artefacts caused by FIB milling. Stable crack growth geometries—where the FIB-prepared notch stably propagates through the sample—have the potential to ameliorate some of the FIB-based challenges. In this work, we propose a new sample geometry for testing interface toughness at the micron scale which results in intrinsically stable crack growth. This geometry is straightforward to fabricate using established FIB-based methods and testing setups. We prove the stability of crack growth by finite element modelling and by experimentally applying the approach on a hard coating–silicon interface. We observe that even with small imperfections, the FIB-milled notch propagates towards the interface and the natural crack stably grows along the interface

Understanding How People with Binge Eating Disorder and Bulimia Interact with Digital Food Content

A large body of research has focused on understanding how online content and disordered eating behaviors are associated. However, there is a lack of comprehensive studies investigating digital food content's influence on individuals with eating disorders. We conducted two rounds of studies (N=23 and 22, respectively) with individuals with binge eating disorder (BED) or bulimia nervosa (BN) to understand their motivations and practices of consuming digital food content. Our study reveals that individuals with BED and BN anticipate positive effects from food media to overcome their condition, but in practice, it often exacerbates their disorder. We also discovered that many individuals have experienced a cycle of quitting and returning to digital food content consumption. Based on these findings, we articulate design implications for digital food content and multimedia platforms to support vulnerable individuals in everyday online platform interactions.Comment: 28 pages, 6 figure