bluuebunny/crossref_metadata_2025_split huggingface dataset:
Who’s who: how uncertainty about the favored group affects outcomes of affirmative action
Authors: Trieu Chi 
Published: October 2023

AbstractWhen affirmative action policies target more than one disadvantaged group, they contain uncertainty as to whether an individual who belongs to one of these groups was actually favored. In a laboratory experiment, we study how this feature affects outcomes of affirmative action in the form of quotas, and compare it with two other conditions, namely affirmative action with a certain favored group and no affirmative action. We find that when a group is favored with certainty and the social identity that triggers affirmative action is made salient, affirmed individuals are wrongly perceived as less competent, both by themselves and by others. Consequently, their willingness to compete does not increase and they are selected less for teamwork post competition. Affirmative action with uncertain favored groups does not distort belief in competence, and thus does not induce such unintended consequences. In contrast, it increases competition entry of the affirmed groups and enhances their chances of being selected for teamwork.
Seamless real-time thermal imaging system with ESP8266: wireless data transfer and display using UDP
Authors: Moon Md. Abdul Muttalib , Kaimujjaman Md. , Hossain Md. Mahabub , Islam Md. Mehedi , Hossain Md. Selim 
Published: October 2023

AbstractThermal imaging technology has become increasingly popular for various applications, including industrial monitoring, building automation, and medical diagnostics. However, existing thermal imaging systems often come with high costs and limited connectivity options. In this paper, we propose a method to address these challenges by utilizing the ESP8266 microcontroller to create a thermal imaging system that can measure thermal pixel values, transfer the data wirelessly using the ESP8266’s networking capabilities and display the pixel data in real-time on a Thin-film-transistor liquid-crystal (TFT) display. The objective is to establish a seamless and real-time transfer of thermal images within a local network environment. User datagram protocol (UDP) supports transmission via broadcast and multicast, making it highly efficient for delivering data to multiple clients or devices on a network. It allows a single UDP packet to be simultaneously sent to multiple destinations, enhancing its effectiveness. This feature simplifies the implementation of network protocols and applications, reducing their overall complexity. UDP is particularly well-suited for devices with limited resources, such as microcontrollers or embedded systems, where memory and computing power are constrained. Experimental results demonstrate the successful transmission and display of thermal pixel data between the ESP8266 microcontrollers using the UDP protocol. The project utilizes the Arduino framework along with ESP8266WiFi and UDP libraries to enable network connectivity and UDP communication. The sender and receiver devices are connected to the same local network, guaranteeing efficient and low-latency transmission of thermal pixel data. The system achieves real-time communication within a radius of approximately 15–18 m, ensuring immediate visualization of thermal images on connected displays. By minimizing latency, the system enables a seamless and instantaneous viewing experience offering seamless and instantaneous image visualization for the users.
Exploring the status of artificial intelligence for healthcare research in Africa: a bibliometric and thematic analysis
Authors: Kondo Tabu S. , Diwani Salim A. , Nyamawe Ally S. , Mjahidi Mohamed M. 
Published: October 2023

Abstract
This paper explores the status of Artificial Intelligence (AI) for healthcare research in Africa. The aim was to use bibliometric and thematic analysis methods to determine the publication counts, leading authors, top journals and publishers, most active institutions and countries, most cited institutions, funding bodies, top subject areas, co-occurrence of keywords and co-authorship. Bibliographic data were collected on April 9 2022, through the Lens database, based on the critical areas of authorship studies, such as authorship pattern, number of authors, etc. The findings showed that several channels were used to disseminate the publications, including articles, conference papers, reviews, and others. Publications on computer science topped the list of documented subject categories. The Annals of Tropical Medicine and Public Health is the top journal, where articles on AI have been published. One of the top nations that published AI research was the United Kingdom. With 143 publications, Harvard University was the higher education institution that produced the most in terms of affiliation. It was discovered that the Medical Research Council was one of the funding organizations that supported research, resulting in the publication of articles in AI. By summarizing the current research themes and trends, this work serves as a valuable resource for researchers, practitioners, and funding organizations interested in Artificial intelligence for healthcare research in Africa.
New-Onset Acute Interstitial Nephritis Post-SARS-CoV-2 Infection and COVID-19 Vaccination: A Panoramic Review
Authors: Wang Yu , Yang Ling , Xu Gaosi 
Published: October 2023

AbstractThe 2019 coronavirus disease (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) has posed a considerable challenge to global healthcare. Acute interstitial nephritis (AIN) post SARS-CoV-2 infection and vaccination has been reported, but its clinical features and pathogenesis remained unclear. We reviewed so far the largest 22 cases of AIN post SARS-CoV-2 infection and 36 cases of AIN following COVID-19 vaccination. The onset of AIN was mainly related to messenger RNA vaccines (52.8%). Apart from fever, proteinuria (45.5%) was the main manifestation of AIN post SARS-CoV-2 infection, left acute kidney injury (AKI, 63.9%) in patients post COVID-19 vaccination. The potential mechanism of vaccination induced AIN was conjugating vaccines with proteins to form a hapten, which activated dendritic cells and promoted a cascade immunological reaction leading to AIN.
Rural–Urban Inequities in Tuberculosis-Related Practices in Equatorial Guinea
Authors: Ayala Alba , Ncogo Policarpo , Eyene Juan , García Belén , Benito Agustín , Romay-Barja María 
Published: October 2023

Abstract
Background
Tuberculosis (TB) is one of the leading causes of mortality from a single infectious disease agent. Equatorial Guinea is a country with high estimated TB incidence in 2021 (275 cases per 100,000 population) and low TB case detection (42%). Early diagnosis and prompt treatment are crucial for TB control. Failure to seek adequate health care increases the disease’s transmission and leads to poor treatment outcome, the mortality, even for easily manageable conditions. Information regarding community management of TB and treatment-seeking patterns in Equatorial Guinea is rare. The aim of this study was to explore differences in TB health-seeking behaviour among urban and rural population TB cases in Equatorial Guinea and the factors associated with this behaviour.

Methods
A national cross-sectional study of 770 household caregivers was conducted in 2020 in Equatorial Guinea using multistage stratified sampling. The 284 caregivers that reported having had a TB case in their family were included in this study. A practice index was created. Poisson regression with robust variance was performed with the practices index as dependent variable to assess the factors associated with the health-seeking behaviour.

Results
Most of the cases (65%) have had good TB health-seeking practices. However, 23.2% of TB cases reported having abandoned treatment before 6 months. A higher probability of having good TB practices was observed with being women, aged and living in rural area. Those who were TB cases themselves have heard about TB on the radio, and had high knowledge about TB, hand also good practices.

Conclusions
Disparities in tuberculosis health-seeking behaviour between rural and urban populations highlight the challenges existing in the fight against this infectious disease. The National Tuberculosis Control Program has to reinforce the health system needs to strengthen the follow-up of TB patients taking into account the population at risk of inappropriate TB behaviour.

Trial Registration
Not applicable.
Knowledge mapping and research hotspots of artificial intelligence on ICU and Anesthesia: from a global bibliometric perspective
Authors: Li Congjun , Zhou Ruihao , Chen Guo , Hao Xuechao , Zhu Tao 
Published: October 2023

AbstractThe swift advancement of technology has led to the widespread utilization of artificial intelligence (AI) in the diagnosis of diseases and prediction of prognoses, particularly in the field of intensive care unit (ICU) and Anesthesia. Numerous evidential data have demonstrated the extensive potential of AI in monitoring and predicting patient outcomes in these fields. Using bibliometric analysis, this study provides an overview of the current state of knowledge regarding the application of AI in ICU and Anesthesia and investigates prospective avenues for future research. Web of Science Core Collection was queried on May 6, 2023, to select articles and reviews regarding AI in ICU and Anesthesia. Subsequently, various analytical tools including Microsoft Excel 2022, VOSviewer (version 1.6.16), Citespace (version 6.2.R2), and an online bibliometric platform were employed to examine the publication year, citations, authors, countries, institutions, journals, and keywords associated with this subject area. This study selected 2196 articles from the literature. focusing on AI-related research within the fields of ICU and Anesthesia, which has increased exponentially over the past decade. Among them, the USA ranked first with 634 publications and had close international cooperation. Harvard Medical School was the most productive institution. In terms of publications,Scientific Reports(impact factor (IF) 4.996) had the most, whileCritical Care Medicine(IF 9.296) had the most citations. According to numerous references, researchers may focus on the following research hotspots: “Early Warning Scores”, “Covid-19″, “Sepsis” and “Neural Networks”. “Procalcitonin” and “Convolutional Neural Networks” were the hottest burst keywords. The potential applications of AI in the fields of ICU and Anesthesia have garnered significant attention from scholars, prompting an increase in research endeavors. In addition, it is imperative for various countries and institutions to enhance their collaborative efforts in this area. The research focus in the upcoming years will center on sepsis and coronavirus, as well as the development of predictive models utilizing neural network algorithms to improve well-being and quality of life in surviving patients.Graphical Abstract
Enhanced chemical and physical defense traits in a rice cultivar showing resistance to leaffolder infestation
Authors: Zhao Wenyi , Zhuang Yunqi , Chen Yumeng , Lou Yonggen , Li Ran 
Published: October 2023

AbstractThe leaffolder (LF), Cnaphalocrocis medinalis, poses a significant threat to rice crops. The larvae feed on rice leaves, damaging both the epidermal and mesophyll tissues, and engage in leaf-folding behaviors to build shelters that can lead to significant yield losses. In this study, we discovered a rice cultivar, P213, that exhibits resistance to LF infestation. When compared to the susceptible cultivar XiuShui11 (XS11), the larvae on P213 exhibited reduced weight and took longer to build their silk-leaf shelters. Through a side-by-side analysis of phytohormones, metabolites and transcriptomes in the two cultivars, we found that jasmonate (JA)-induced defenses are not the main contributors to P213 resistance against LF. Rather, salicylic acid and flavonoids emerge as potential chemical defenses against this insect pest. Furthermore, the resistant cultivar P213 exhibited a greater density of micro hairs and long macro hairs, the latter of which were absent in the susceptible cultivar. The silicon contents in leaf tissues were also more prominent in the resistant cultivar, suggesting that the physical defenses against LF are enhanced in P213. These findings shed new light on the mechanisms of rice resistance to LF and provide a foundation for future research into the genetic basis of this resistance.
Age and beliefs about vaccines associated with COVID-19 vaccination among US Veterans
Authors: Wilson Geneva M. , Ray Cara E. , Kale Ibuola O. , Scherer Aaron M. , Gordon Howard S. , Weaver Frances , Evans Charlesnika T. , Stroupe Kevin 
Published: October 2023

Abstract
This project surveyed Veterans’ COVID-19 vaccination beliefs and status. 1,080 (30.8%) Veterans responded. Factors associated with being unvaccinated, identified using binomial logistic regression, included negative feelings about vaccines (OR = 3.88, 95%CI = 1.52, 9.90) and logistical difficulties such as finding transportation (OR = 1.95, 95%CI = 1.01, 3.45). This highlights the need for education about and access to vaccination.
AntibiogramDSM: a combined local antibiogram and educational intervention
Authors: Miesner Andrew R. , Williamson Benjamin , Bushman Amanda M. 
Published: October 2023

Abstract

Objective:
To describe the development of a combined local antibiogram and assess its utility in an educational intervention.

Design:
Retrospective analysis of a combined, multi-healthcare system antibiogram with an educational intervention and pre-post analysis.

Setting:
Creation of the combined antibiogram included all health systems in Des Moines, Iowa. The educational intervention was delivered live via webinar and remained available on demand for one year.

Participants:
The combined antibiogram participants included four health systems representing eight hospitals. The educational intervention included 45 healthcare providers (15 live, 30 on demand) who elected to participate.

Methods:
Yearly antibiograms were collected from four health systems for 2017 and 2018 and from three health systems for 2019 and 2020. Each was aggregated into a single antibiogram, posted online, and analyzed retrospectively. In 2021, an educational intervention took place, which included pre-educational assessments, a one-hour presentation on local resistance rates and impact on common infections, and post-education assessments. The educational session was available online for one year. Correct responses before and after education were compared using NcNemar’s test.

Results:
Over 4 yr, 123,168 isolates were included in the antibiogram, representing 57 species and 46 tested antibiotics. Before education, prediction of local resistance rates for E. coli and S. pneumoniae was poor. After the education session, there was improvement in the proportion of correct responses to case-based questions: pneumonia (31.8% vs 58.8%, P = 0.022), UTI (47.7% vs 85.3%, P < 0.001), sinusitis (75% vs 91.2%, P = 0.109), and diverticulitis (43.2% vs 88.2%, P = 0.002).

Conclusions:
A combined local antibiogram was useful in supporting an outpatient education program.
Rise of the (possible) resistance: a review of susceptibility patterns for nontyphoidal Salmonella enterica in Nebraska
Authors: Sunagawa Shawnalyn W. , Christopherson Catherine , Bergman Scott J. , Miller Molly M. , Keintz Mackenzie R. , Wahlig Taylor A. , Fey Paul , Van Schooneveld Trevor C. 
Published: October 2023

Abstract
Our institution sought to evaluate our antimicrobial stewardship empiric treatment recommendations for Salmonella. Results from 36 isolates demonstrated reduced susceptibilities to fluoroquinolones with 1 isolate susceptible only to ceftriaxone. Analysis supports the current recommendation of empiric ceftriaxone therapy for severe infection and updated recommendation for sulfamethoxazole-trimethoprim in non-severe infections.
Soviet Legacy of Vietnam's Intellectual Property Law: Big Brother is (No Longer) Watching You
Authors: Le Van Anh 
Published: October 2023

AbstractHow did intellectual property (IP), a private right born out of European Enlightenment ideals, take root in Vietnam's socialist legal framework, and what influence does Vietnam's Soviet legacy still have on its IP law? The clandestine triumph of IP rights in Vietnam is remarkable, given the system's former propensity for collective ownership and limited private property rights. Vietnam's approach to IP rights has changed with economic liberalisation: while external pressure prompted the initial adoption of IP laws, national interest and global reputation enhancement are now driving the effort. At the height of communism in the 1980s and under Soviet domination, IP laws reflected socialist ideology and the characteristics of a command economy. Amid Vietnam's quest for technological advancement, the importance of patents has grown. However, public perceptions of the unreliability of the legal system to resolve IP disputes persist, pushing civil disputes towards the government rather than the judiciary. As Vietnam opened economically, its IP regime moved away from overt communism, but communist values are still implicitly incorporated in general principles. Today, adherence to free trade agreements, which require robust IP protection, is driving the modernisation of Vietnam's IP infrastructure.
Political expertise, ecological rationality and party cues
Authors: Bergan Daniel E. , Carnahan Dustin , Virtue Isabel 
Published: October 2023

Abstract
Political scientists have proposed that party cues can be used to compensate for the public's well-documented lack of substantive political knowledge, but some critics have argued that applying party cues is more difficult than assumed. We argue that this debate has proven intractable in part because scholars have used ambiguous normative criteria to evaluate judgments. We use a unique task and clear normative criteria to evaluate the use of party cues in making political judgments among two samples: a sample of state legislators and an online sample of the public. We find that the public sample performs poorly when using cues to make judgments. State legislators make much more accurate judgments on average than even the most attentive segment of the public and are more likely to place less weight on irrelevant cues when making judgments, although there is evidence that both samples performed worse with the inclusion of non-diagnostic cues. We conclude with a discussion of the relevance of the results, which we interpret as showing that party cue use is more difficult than theorized, and discuss some practical implications of the findings.
Bayesian system identification for structures considering spatial and temporal correlation
Authors: Koune Ioannis , Rózsás Árpád , Slobbe Arthur , Cicirello Alice 
Published: October 2023

Abstract
The decreasing cost and improved sensor and monitoring system technology (e.g., fiber optics and strain gauges) have led to more measurements in close proximity to each other. When using such spatially dense measurement data in Bayesian system identification strategies, the correlation in the model prediction error can become significant. The widely adopted assumption of uncorrelated Gaussian error may lead to inaccurate parameter estimation and overconfident predictions, which may lead to suboptimal decisions. This article addresses the challenges of performing Bayesian system identification for structures when large datasets are used, considering both spatial and temporal dependencies in the model uncertainty. We present an approach to efficiently evaluate the log-likelihood function, and we utilize nested sampling to compute the evidence for Bayesian model selection. The approach is first demonstrated on a synthetic case and then applied to a (measured) real-world steel bridge. The results show that the assumption of dependence in the model prediction uncertainties is decisively supported by the data. The proposed developments enable the use of large datasets and accounting for the dependency when performing Bayesian system identification, even when a relatively large number of uncertain parameters is inferred.
Distortion element in the automorphism group of a full shift
Authors: CALLARD ANTONIN , SALO VILLE 
Published: October 2023

AbstractWe show that there is a distortion element in a finitely generated subgroup G of the automorphism group of the full shift, namely an element of infinite order whose word norm grows polylogarithmically. As a corollary, we obtain a lower bound on the entropy dimension of any subshift containing a copy of G, and that a sofic shift’s automorphism group contains a distortion element if and only if the sofic shift is uncountable. We obtain also that groups of Turing machines and the higher-dimensional Brin–Thompson groups
$mV$
admit distortion elements; in particular,
$2V$
(unlike V) does not admit a proper action on a CAT
$(0)$
cube complex. In each case, the distortion element roughly corresponds to the SMART machine of Cassaigne, Ollinger, and Torres-Avilés [A small minimal aperiodic reversible Turing machine. J. Comput. System Sci.84 (2017), 288–301].
Psychic immunity and uncomprehended pain: what Maimonides can tell us about the problem of suffering
Authors: Conroy Ben 
Published: October 2023

AbstractUsing Moses Maimonides’ theodicy to respond to contemporary formulations of the problem of evil initially seems unpromising. Maimonides is committed to claims that make the task harder rather than easier. Chief among them is his belief that all suffering is deserved by the sufferer. But Maimonides is often misinterpreted: he does not hold that innocent people are never subject to bodily harm, but that it is possible to achieve a kind of ‘psychic immunity’ from suffering via intellectual enlightenment, and that failure to do so is blameworthy. I argue that while the Maimonidean psychic immunity theodicy has some attractive features, it struggles to explain ‘inculpably incomprehensible’ suffering: that of infants and people with serious cognitive disabilities. I propose two responses: defending Maimonides’ intellectual elitism using work on moral status from Singer and McMahan; and defending a more limited version of the theodicy grounded on ‘sceptical’ readings of Maimonides that emphasize the limitations of human knowledge. I conclude that the second is more promising, and that the limits of Maimonides’ theodicy point to more general limits on theodicies that insist on what I call ‘first-personal adequacy’ – the requirement that a theodicy provide a satisfying explanation of suffering to sufferers themselves.
Older Adults’ Experiences with Remote Care for Specialized Health Service During the COVID-19 Pandemic: A Descriptive Qualitative Study
Authors: Gaudine Alice , Parsons Karen , Smith-Young Joanne 
Published: October 2023

AbstractThe coronavirus disease (COVID-19) pandemic necessitated a rapid uptake of remote health care services. This qualitative descriptive study was designed to gain an understanding of older adults’ experiences of remote care (telephone or online video conference appointments) for specialized health services during the COVID-19 pandemic. Twenty-one older adults (ages 65 years and older; 8 men and 13 women) living in eastern Canada participated in a semi-structured telephone interview. Data were analysed using qualitative content analysis. The vast majority of older adults were overall satisfied with their remote experiences of specialist care. Advantages to remote care for specialized services included convenience, safety during the pandemic, comfort, efficiency, and ease of visit. Disadvantages included communication not as effective, feeling depersonalized or disembodied, missing the human relationship, and wanting reassurance of physical assessment. It is important that health professionals understand the disadvantages for older adults of remote care visits in order to mitigate them.