Understanding Users' Dissatisfaction with ChatGPT Responses: Types, Resolving Tactics, and the Effect of Knowledge Level

Large language models (LLMs) with chat-based capabilities, such as ChatGPT, are widely used in various workflows. However, due to a limited understanding of these large-scale models, users struggle to use this technology and experience different kinds of dissatisfaction. Researchers have introduced several methods such as prompt engineering to improve model responses. However, they focus on crafting one prompt, and little has been investigated on how to deal with the dissatisfaction the user encountered during the conversation. Therefore, with ChatGPT as the case study, we examine end users' dissatisfaction along with their strategies to address the dissatisfaction. After organizing users' dissatisfaction with LLM into seven categories based on a literature review, we collected 511 instances of dissatisfactory ChatGPT responses from 107 users and their detailed recollections of dissatisfied experiences, which we release as a publicly accessible dataset. Our analysis reveals that users most frequently experience dissatisfaction when ChatGPT fails to grasp their intentions, while they rate the severity of dissatisfaction the highest with dissatisfaction related to accuracy. We also identified four tactics users employ to address their dissatisfaction and their effectiveness. We found that users often do not use any tactics to address their dissatisfaction, and even when using tactics, 72% of dissatisfaction remained unresolved. Moreover, we found that users with low knowledge regarding LLMs tend to face more dissatisfaction on accuracy while they often put minimal effort in addressing dissatisfaction. Based on these findings, we propose design implications for minimizing user dissatisfaction and enhancing the usability of chat-based LLM services

Burdens of cardiometabolic diseases attributable to dietary and metabolic risks in Korean adults 2012–2013

PURPOSE: In line with epidemiological and sociocultural changes in Korea over the past decades, reliable estimation of diseases as a result of dietary and metabolic risks is required. In this study, we aimed to evaluate the contributions of dietary and metabolic factors to cardiometabolic diseases (CMDs) in Korean adults (25–64 years old) during 2012–2013. MATERIALS AND METHODS: Distribution of risk factors and cause-specific mortality by gender and age per year was obtained from the Korea National Health and Nutrition Examination Survey and Statistics Korea, respectively. The association between the two was obtained from published meta-analyses. The population-attributable fraction attributable to the risk factors was calculated across gender and age strata (male and female, age groups 25–34, 35–44, 45–54, and 55–64) in 2012 and 2013. RESULTS: The results showed that during the period studied, high body mass index [5628 deaths; uncertainty intervals (UIs): 5473–5781] and blood pressure (4202 deaths; UIs: 3992–4410) were major metabolic risks for CMD deaths, followed by dietary risks such as low intake of whole grain (4107 deaths; UIs: 3275–4870) and fruits (3886 deaths; UIs: 3227–4508), as well as high intake of sodium (2911 deaths, UIs: 2406–3425). Also, males and the younger population were seen more prone to be exposed to harmful dietary risk than their female and older counterparts. CONCLUSION: The findings provide the necessary information to develop targeted government interventions to improve cardiometabolic health at the population level

Reducing time to discovery : materials and molecular modeling, imaging, informatics, and integration

This work was supported by the KAIST-funded Global Singularity Research Program for 2019 and 2020. J.C.A. acknowledges support from the National Science Foundation under Grant TRIPODS + X:RES-1839234 and the Nano/Human Interfaces Presidential Initiative. S.V.K.’s effort was supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), Materials Sciences and Engineering Division and was performed at the Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences (CNMS), a U.S. Department of Energy, Office of Science User Facility.Multiscale and multimodal imaging of material structures and properties provides solid ground on which materials theory and design can flourish. Recently, KAIST announced 10 flagship research fields, which include KAIST Materials Revolution: Materials and Molecular Modeling, Imaging, Informatics and Integration (M3I3). The M3I3 initiative aims to reduce the time for the discovery, design and development of materials based on elucidating multiscale processing-structure-property relationship and materials hierarchy, which are to be quantified and understood through a combination of machine learning and scientific insights. In this review, we begin by introducing recent progress on related initiatives around the globe, such as the Materials Genome Initiative (U.S.), Materials Informatics (U.S.), the Materials Project (U.S.), the Open Quantum Materials Database (U.S.), Materials Research by Information Integration Initiative (Japan), Novel Materials Discovery (E.U.), the NOMAD repository (E.U.), Materials Scientific Data Sharing Network (China), Vom Materials Zur Innovation (Germany), and Creative Materials Discovery (Korea), and discuss the role of multiscale materials and molecular imaging combined with machine learning in realizing the vision of M3I3. Specifically, microscopies using photons, electrons, and physical probes will be revisited with a focus on the multiscale structural hierarchy, as well as structure-property relationships. Additionally, data mining from the literature combined with machine learning will be shown to be more efficient in finding the future direction of materials structures with improved properties than the classical approach. Examples of materials for applications in energy and information will be reviewed and discussed. A case study on the development of a Ni-Co-Mn cathode materials illustrates M3I3's approach to creating libraries of multiscale structure-property-processing relationships. We end with a future outlook toward recent developments in the field of M3I3.Peer reviewe

Incident type 2 diabetes attributable to suboptimal diet in 184 countries

The global burden of diet-attributable type 2 diabetes (T2D) is not well established. This risk assessment model estimated T2D incidence among adults attributable to direct and body weight-mediated effects of 11 dietary factors in 184 countries in 1990 and 2018. In 2018, suboptimal intake of these dietary factors was estimated to be attributable to 14.1 million (95% uncertainty interval (UI), 13.8–14.4 million) incident T2D cases, representing 70.3% (68.8–71.8%) of new cases globally. Largest T2D burdens were attributable to insufficient whole-grain intake (26.1% (25.0–27.1%)), excess refined rice and wheat intake (24.6% (22.3–27.2%)) and excess processed meat intake (20.3% (18.3–23.5%)). Across regions, highest proportional burdens were in central and eastern Europe and central Asia (85.6% (83.4–87.7%)) and Latin America and the Caribbean (81.8% (80.1–83.4%)); and lowest proportional burdens were in South Asia (55.4% (52.1–60.7%)). Proportions of diet-attributable T2D were generally larger in men than in women and were inversely correlated with age. Diet-attributable T2D was generally larger among urban versus rural residents and higher versus lower educated individuals, except in high-income countries, central and eastern Europe and central Asia, where burdens were larger in rural residents and in lower educated individuals. Compared with 1990, global diet-attributable T2D increased by 2.6 absolute percentage points (8.6 million more cases) in 2018, with variation in these trends by world region and dietary factor. These findings inform nutritional priorities and clinical and public health planning to improve dietary quality and reduce T2D globally.publishedVersio

Children’s and adolescents’ rising animal-source food intakes in 1990–2018 were impacted by age, region, parental education and urbanicity

Animal-source foods (ASF) provide nutrition for children and adolescents’ physical and cognitive development. Here, we use data from the Global Dietary Database and Bayesian hierarchical models to quantify global, regional and national ASF intakes between 1990 and 2018 by age group across 185 countries, representing 93% of the world’s child population. Mean ASF intake was 1.9 servings per day, representing 16% of children consuming at least three daily servings. Intake was similar between boys and girls, but higher among urban children with educated parents. Consumption varied by age from 0.6 at <1 year to 2.5 servings per day at 15–19 years. Between 1990 and 2018, mean ASF intake increased by 0.5 servings per week, with increases in all regions except sub-Saharan Africa. In 2018, total ASF consumption was highest in Russia, Brazil, Mexico and Turkey, and lowest in Uganda, India, Kenya and Bangladesh. These findings can inform policy to address malnutrition through targeted ASF consumption programmes.publishedVersio

Asymmetric formation of γ-lactams via C–H amidation enabled by chiral hydrogen-bond-donor catalysts

Chiral γ-lactams are effective structural motifs found in numerous pharmaceutical agents. Despite their importance, current approaches mostly necessitate laborious synthetic steps employing pre-functionalized starting materials under demanding conditions. In this regard, asymmetric C−H amidation can provide an ideal platform for rapid construction of this valuable scaffold from unactivated materials, but unsolved issues have hampered the strategy. Here, we report iridium catalysts that overcome these challenges by utilizing chiral hydrogen-bond-donor ligands. The protocol makes use of easily accessible substrates derived from carboxylic acid, which display excellent efficiency and enantioselectivity towards direct amidation of prochiral sp 3 C−H bonds. Desymmetrization of meso-substrates is also achieved, where two consecutive stereogenic centres are selectively introduced in a single transformation. Computational investigations reveal the presence of crucial hydrogen bonding in the stereo-determining transition states and spectroscopic analysis of the structural analogues further corroborate this non-covalent interaction. © 2019, The Author(s), under exclusive licence to Springer Nature Limite

Mechanism-Driven Approach To Develop a Mild and Versatile C-H Amidation through Ir-III Catalysis

Described herein is a mechanism-based approach to develop a versatile C-H amidation protocol under Ir-III catalysis. Reaction kinetics of a key C-N coupling step with acyl azide and 1,4,2-dioxazol-5-one led us to conclude that dioxazolones are much more efficient in mediating the formation of a carbon-nitrogen bond from an iridacyclic intermediate. Computational analysis revealed that the origin of higher reactivity is asynchronous decarboxylation motion, which may facilitate the formation of Ir-imido species. Importantly, stoichiometric reactivity was successfully translated into catalytic activity with a broad range of substrates (18 different types), many of which are regarded as challenging to functionalize. Application of the new method enables late-stage functionalization of drug molecules (c) 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim1561sciescopu

Rhodium-catalyzed direct amination of arene c-h bonds using azides as the nitrogen source

[No abstract available]10181scopu