Additional Points Research Articles

Exploring the spatial gradient effect in narratives

ABSTRACT The current set of experiments was designed to explore the processing of spatial information during reading, specifically the spatial-shift effect and the spatial-gradient effect. Experiments 1 and 2 demonstrated that when participants were presented with text alone (i.e., without prior map memorization, virtual environments, task demands, or prior knowledge of the spatial information), the spatial-shift effect does emerge. Using the time to name a spatial location as a measure of spatial activation, participant naming times were faster for the original spatial location when the protagonist had moved a smaller distance relative to when the protagonist had moved a larger distance. Further, Experiment 3 provided evidence to support that a spatial gradient of activation is evident; this was done by adding an additional point of spatial distance in which the protagonist did not move from the initial location. The results are discussed within the context of the memory-based view of text comprehension.

METHODICAL SUPPORT OF PHYSICAL EDUCATION OF STUDENTS OF A SPECIAL MEDICAL GROUP

The article examines the results of implementing into the educational process the developed methodical support for independent classes in physical education of students of the 1st-3rd courses of the special medical group of NTU "KhPI" during distance learning. Methods of pedagogical observation, survey, literature analysis and generalization of information, logical and mathematical and statistical methods were used to solve the problems. During the academic year (2022-2023), students of the special medical group used methodological guidelines and methodological recommendations for practical classes, completed practical tasks to obtain information about the state of their physical and psychophysical state of the body, for which additional points were received in the discipline of physical education.

Consumer post-adoption of e-wallet: An extended UTAUT2 perspective with trust

The mobile marketing is facing rapid technological advancement nowadays, and there is growing literature on the effects of mobile applications, however, the role of branded applications in influencing consumer adoption remains insufficiently explored. Thus, this study aims to measure the level to which the unified theory of acceptance and use of technology 2 (UTAUT2) variables can affect the adoption behavior towards e-wallets in Jordan. However, with an additional point of view, centered around the internal influence, by replacing the social influence factor with trust factors, in order to test the model with focus on self-created individual perception. Data were collected from 314 e-wallet users in Jordan. The hypotheses for each of the study variables were analyzed through collecting data using online self-administered questionnaires then applying SEM analysis using Smart-PLS software. The results highlighted the significant effect of performance expectancy, effort expectation, habit, price value, and trust in on the continuance intention to use e-wallets in Jordan. Moreover, trust, in particular, was shown to have a remarkable effect on e-wallet Continuance Usage Intention, while also having an effect on the second most Influential variable, performance expectations. On the other hand, effort expectancy mobile wallets use continuance in the setting of Jordan. Finally, Continuance Usage Intention was shown to be a direct function of Continuance Usage behavior, followed by habit.

Cardiovascular health and cognitive outcomes: Findings from a biracial population-based study in the United States.

The aim of this study was to evaluate the association of cardiovascular health (CVH) with cognitive outcomes, including incident Alzheimer's dementia, rate of cognitive decline, and measures of brain injury and structure. This study consisted of 1702 Black or African American and White participants living in the south side of Chicago, Illinois, and enrolled in the Chicago Health and Aging Project, a population-based cohort since 1993. CVH was based on seven risk factors, including diet, physical activity, body mass index, smoking, dyslipidemia, hypertension, and diabetes. In a multivariable-adjusted model, CVH was associated with a lower risk of Alzheimer's dementia. The hazard ratio per 1 additional point in CVH score was 0.84 (95% CI 0.76, 0.94). CVH was also associated with a slower rate of cognitive decline and less volume (injury) in white matter hyperintensities. Promoting CVH in communities with Black residents may lower the future risk of Alzheimer's dementia.

Diagnostic of Patients with COVID-19 Pneumonia Using Passive Medical Microwave Radiometry (MWR).

Chest CT is widely regarded as a dependable imaging technique for detecting pneumonia in COVID-19 patients, but there is growing interest in microwave radiometry (MWR) of the lungs as a possible substitute for diagnosing lung involvement. The aim of this study is to examine the utility of the MWR approach as a screening tool for diagnosing pneumonia with complications in patients with COVID-19. Our study involved two groups of participants. The control group consisted of 50 individuals (24 male and 26 female) between the ages of 20 and 70 years who underwent clinical evaluations and had no known medical conditions. The main group included 142 participants (67 men and 75 women) between the ages of 20 and 87 years who were diagnosed with COVID-19 complicated by pneumonia and were admitted to the emergency department between June 2020 to June 2021. Skin and lung temperatures were measured at 14 points, including 2 additional reference points, using a previously established method. Lung temperature data were obtained with the MWR2020 (MMWR LTD, Edinburgh, UK). All participants underwent clinical evaluations, laboratory tests, chest CT scans, MWR of the lungs, and reverse transcriptase polymerase chain reaction (RT-PCR) testing for SARS-CoV-2. The MWR exhibits a high predictive capacity as demonstrated by its sensitivity of 97.6% and specificity of 92.7%. MWR of the lungs can be a valuable substitute for chest CT in diagnosing pneumonia in patients with COVID-19, especially in situations where chest CT is unavailable or impractical.

Using a Consensus-Driven Approach to Incorporate Holistic Review Into an Internal Medicine Residency Program.

Despite growing interest in incorporating holistic review within residency admissions, implementation by residency programs remains challenging. To incorporate holistic review into the internal medicine residency program at the University of Wisconsin and to report initial feasibility and acceptability data. During the 2020-2021 application cycle, residency stakeholders performed a consensus-driven process to identify highly valued applicant attributes. We used a holistic review process to identify the presence of these attributes among applicants and updated our rank list algorithm to incorporate these attributes. We modified our interview screening criteria and rank list algorithm to de-emphasize other metrics. We surveyed stakeholders to assess time required for this process and compared our final rank list to what it would have been using our prior system. The final list of 10 prioritized applicant attributes included extraordinary leadership, community service, and grit, among others. Among 25 matched residents, 8 (32%) were recognized to have exceptional achievement within one of these 10 attributes. Four members of the incoming intern class (16%) would have been in a rank position lower than our historical matched resident cutoff had they not received additional points for these attributes. Faculty reported that holistic review of applications took an additional 3.8 minutes on average. It was felt that current application materials limit the ability to implement a fully holistic review. The addition of holistic review to our residency admissions process was achieved using a consensus-driven approach and showed favorable feasibility and acceptability data.

A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey

ABSTRACT The standard approach to inference from cosmic large-scale structure data employs summary statistics that are compared to analytic models in a Gaussian likelihood with pre-computed covariance. To overcome the idealizing assumptions about the form of the likelihood and the complexity of the data inherent to the standard approach, we investigate simulation-based inference (SBI), which learns the likelihood as a probability density parameterized by a neural network. We construct suites of simulated summary statistics, exactly Gaussian distributed for validation purposes, for the most recent Kilo-Degree Survey (KiDS) weak gravitational lensing analysis and demonstrate that SBI recovers the full 12-dimensional KiDS posterior distribution with just under 104 simulations. We optimize the simulation strategy by initially covering the parameter space by a hypercube, followed by batches of actively learnt additional points. The data compression in our SBI implementation is robust to suboptimal choices of fiducial parameter values and of data covariance. Together with a fast simulator, SBI is therefore a competitive and more versatile alternative to standard inference.

First report of Sw-5 resistance-breaking strain of tomato spotted wilt orthotospovirus infecting tomato in Texas.

Tomato spotted wilt orthotospovirus (TSWV) is one of the most devastating plant viruses causing crop disease epidemics of global economic significance. A single dominant resistant gene 'Sw-5' offering a broad-spectrum resistance to multiple orthotospoviruses was introduced in tomato cultivars. However, multiple resistance-breaking strains of TSWV were reported worldwide (Ciuffo 2005; Zaccardelli et al. 2008; Batuman et al. 2017; di Rienzo et al. 2018). Symptoms suggestive of orthotospoviral infection including stunting, bronzing, and inward rolling of leaves, and concentric necrotic spots on leaves, petioles, and fruits were observed in two TSWV-resistant tomato cultivars ('BL163' and 'HT 2') planted in a tomato variety trial in Bushland, TX in 2022. Leaf tissues from 45 resistant tomato plants (symptomatic or asymptomatic) from both resistant cultivars were tested using a TaqMan probe-based qPCR assay targeting a 200bp region in nucleoprotein (N) of the TSWV (Gautam et al. 2022). While 25 of those samples tested positive for TSWV, only ten expressed characteristic disease symptoms described above. The possibility of mixed infection in those samples with other endemic viruses in the region viz., alfalfa mosaic virus, groundnut ringspot orthotospovirus, tobacco mosaic virus, tomato chlorotic spot orthotospovirus, tomato mosaic virus, tomato necrotic streak virus, tomato ringspot virus, and tomato torrado virus was discounted through RT-PCR analysis (Kumar et al. 2011; Verbeek et al. 2012; Bratsch et al. 2018). To test the RB phenotype of the observed putative TSWV-RB strains, three-week-old tomato plants from eight commercially available TSWV resistant cultivars and one non-resistant cultivar (n=10 each) were mechanically inoculated with leaf tissues collected from a single symptomatic plant from one of the field-grown resistant cultivars. The experiment was replicated twice. Hypersensitive response was observed on all inoculated leaves of resistant plants one week post inoculation. Furthermore, all eight resistant cultivars started expressing local and systemic TSW symptoms 12 to 16 days post inoculation (dpi), while non-resistant cultivar started expressing symptoms at 9 dpi. TSW incidence across all resistant cultivars was 30-70%, while in susceptible cultivar it was 90%. Symptoms exhibited by all resistant cultivars resembled those of symptoms observed in field collected plants. The expression of Sw-5 gene in all eight resistant cultivars and the lack thereof in a susceptible cultivar was confirmed using Sw-5b specific primers and using Actin as a housekeeping gene in qRT-PCR (Islam et al. 2022). The RB strains in Sw-5 resistant tomato in California (Batuman et al. 2017) had the C118Y mutation in the TSWV NSm protein, consistent with the original reporting of C118Y or T120N RB mutations in 11 TSWV isolates from Spain (NCBI accession # HM015517 & HM015518) (Lopez et al. 2011). The nucleotide and amino acid sequence analysis of NSm gene from Bushland RB isolates from four resistant cultivars (NCBI accessions # OP810513-14 [field], OQ247901-05 [mechanically inoculated]) shared 98.9 and 99.4% homology with the Californian NSm sequences of TSWV RB tomato isolate (KX898453 and ASO67371), respectively. While the Nsm C118Y or T120N RB mutations were absent in all Bushland TSWV RB isolates, they had six additional unique point mutations across the NSm (I163V, P227Q, V290I, N293S, V294I, K296Q), which could potentially be responsible for resistance breaking. Despite the lack of C118Y or T120N RB mutations, Bushland isolates were capable of disrupting Sw-5-mediated TSWV resistance in all eight commercial resistant tomato cultivars. This study suggests a new or a different class of fundamental mechanisms are likely to be responsible for resistance breaking in Sw-5b resistant tomatoes. The new RB strain/s of TSWV therefore pose a substantial threat to tomato production in TX and other tomato-growing regions of the US.

Human cell-based in vitro systems to assess respiratory toxicity: a case study using silanes.

Inhalation is a major route by which human exposure to substances can occur. Resources have therefore been dedicated to optimize human-relevant in vitro approaches that can accurately and efficiently predict the toxicity of inhaled chemicals for robust risk assessment and management. In this study-the IN vitro Systems to PredIct REspiratory toxicity Initiative-2 cell-based systems were used to predict the ability of chemicals to cause portal-of-entry effects on the human respiratory tract. A human bronchial epithelial cell line (BEAS-2B) and a reconstructed human tissue model (MucilAir, Epithelix) were exposed to triethoxysilane (TES) and trimethoxysilane (TMS) as vapor (mixed with N2 gas) at the air-liquid interface. Cell viability, cytotoxicity, and secretion of inflammatory markers were assessed in both cell systems and, for MucilAir tissues, morphology, barrier integrity, cilia beating frequency, and recovery after 7 days were also examined. The results show that both cell systems provide valuable information; the BEAS-2B cells were more sensitive in terms of cell viability and inflammatory markers, whereas MucilAir tissues allowed for the assessment of additional cellular effects and time points. As a proof of concept, the data were also used to calculate human equivalent concentrations. As expected, based on chemical properties and existing data, the silanes demonstrated toxicity in both systems with TMS being generally more toxic than TES. Overall, the results demonstrate that these in vitro test systems can provide valuable information relevant to predicting the likelihood of toxicity following inhalation exposure to chemicals in humans.

The value of capturing diverse perspectives when setting decision triggers for threatened species management

Abstract Conservation practitioners commonly work together in management teams, contributing expertise to the planning and decision‐making associated with threatened species management. These groups may include individuals with different perspectives around if, when and how to implement management. Yet, rarely do we consider the value of discussion in shaping these perspectives, and thus management. Decision triggers can be used to formalise decisions around management and encourage teams to explore these decisions proactively. Previous research has identified how individual experts set decision triggers but there are no accepted approaches for capturing the expertise that exists across management teams when setting decision triggers. To address this gap, we developed an approach to formalise team deliberations about when and how to intervene if a decline in the condition of a threatened species were to be observed. Using a modified Delphi process, individual experts within a threatened species management team were asked to independently set trigger points and assign actions for the species. Then, as a group, experts discussed anonymised responses, enabling us to understand how group dynamics influenced the decision‐making process. Experts had the opportunity to update their responses based on the group discussion, providing a rationale to support their decisions. We tested the approach with experts from teams managing threatened species across conservation organisations in Australia and New Zealand. We found that experts often updated their responses to incorporate issues raised by the group, demonstrating a willingness to integrate the perspectives of other team members. Experts tended to become more cautious after discussing their responses, setting additional trigger points and actions, and triggering actions sooner. Synthesis and applications: Our approach provides a structured process to formally integrate the range of perspectives and experience of groups of experts when setting trigger points and actions. This can help to address common biases that arise during unstructured decision‐making, and ensure decision‐making processes are transparent.

Solutions for Atrial Fibrillation Edvocacy (SAFE): Improving Awareness And Access To Afib Screening For Detection And Referral For Treatment.

Background: Atrial Fibrillation (Afib) can lead to stroke and heart failure, and early detection of Afib is an effective method of preventing these life-threatening conditions. An estimated 2.7 million Americans are living with Afib1, a number that is expected to rise dramatically in the coming years. Methods: The aim of this demonstration project was to create an additional access point in the community at local pharmacies for Afib screening, detection, and referral to physicians for follow-up and initiation of evidence-based therapy when appropriate. This prospective research study was conducted with 14 community pharmacies across the US, in which a total of 650 patients were screened for Afib. Pharmacists conducted SAFEty Risk Assessments that consisted of completion of a Stroke Risk Scorecard and EKG determination utilizing AliveCor's KardiaMobile® 6L device. Results: In 552 (82.5%) of 669 total EKG readings, a "normal" rhythm was detected, and in 117 (17.5%) EKG readings an abnormal detection occurred. A total of 12 out of 650 patients (1.8%) received EKG readings of Afib, which is greater than double the expected prevalence of Afib in the US (0.81%), a statistically significant finding (p < 0.0001). Other notable findings included 42 (6.3%) EKG readings of Wide QRS, and 26 (3.9%) EKG readings of tachycardia. A total of 44 patients were referred to physicians for follow-up on their risk for Afib. Conclusions: Community pharmacies offer a unique, valuable access point for patients to receive Afib screenings. Pharmacists are well positioned to make a significant contribution in the cardiovascular health of their patients and increase the value of team-based health care.

A Pilot Study of the Effect of a Non-Contact Boxing Exercise Intervention on Respiratory Pressure and Phonation Aerodynamics in People with Parkinson's Disease.

Eight adult males diagnosed with Parkinson's disease participated in the study. Individuals participated in twice-weekly exercise classes lasting one hour across 12-months. Dependent variables were measured on three baseline days and then at six additional time points. A pressure meter acquired maximum expiratory pressure, and a pneumotachograph system acquired transglottal airflow and subglottal air pressure. Measures of average maximum expiratory pressure significantly increased after 9- and 12- months of exercise when compared to baseline. There was an increasing trend for these measures in all participants, with a corresponding large effect size. Measures of transglottal airflow and subglottal pressure did not change over the course of 9- or 12-months, although their stability may indicate that the exercise program influenced maintenance of respiratory-phonatory coordination during voicing. A non-contact boxing exercise program had a significant effect on maximum expiratory pressure in people with Parkinson's disease. The aerobic nature of the program and challenges to the respiratory muscles potentially explain the "ingredient" causing this effect. The small sample size of this pilot study necessitates future research incorporating larger and more diverse participants.

An engineered interleukin-11 decoy cytokine inhibits receptor signaling and proliferation in lung adenocarcinoma.

The cytokine interleukin (IL)-11 has been shown to play a role in promoting fibrosis and cancer, including lung adenocarcinoma, garnering interest as an attractive target for therapeutic intervention. We used combinatorial methods to engineer an IL-11 variant that binds with higher affinity to the IL-11 receptor and stimulates enhanced receptor-mediated cell signaling. Introduction of two additional point mutations ablates IL-11 ligand/receptor association with the gp130 coreceptor signaling complex, resulting in a high-affinity receptor antagonist. Unlike wild-type IL-11, this engineered variant potently blocks IL-11-mediated cell signaling and slows tumor growth in a mouse model of lung cancer. Our approach highlights a strategy where native ligands can be engineered and exploited to create potent receptor antagonists.

Evaluation of Foreign body aspiration score (FOBAS) in children- A retrospective cohort study.

Foreign Body Aspiration (FBA) is a common medical emergency among young children, but the evaluation and management of a suspected FBA case can vary across physicians and centers. We aimedto identify which clinical, laboratory, and radiological findings can predict FBA in children and to evaluate a clinical score to improve FBA prediction. This isa retrospective cohort study of patients aged 0-18years admitted to Soroka University Medical Center between 2010 and 2020 with suspected FBA. All patients underwent flexible bronchoscopy and were divided into positive and negative FBA groups. A newly developed foreign body aspiration score (FOBAS), based on medical history, physical examination, and chest X-ray findings, was evaluated for its predictability. The study included 412 children (median age 21months, 56.8% females), of whom 154 (37.4%) had FBA and 258 (62.6%) did not. Multivariate regression analysis showed exposure to nuts/seeds, unilateral wheezing or decreased breath sounds, stridor, and suggestive findings on chest X-ray were significant risk factors for FBA (OR [95%CI] -1.994[1.290-3.082], 1.487[1.206-1.832], 1.883 [1.011-3.509] and 2.386[1.917-2.970], respectively). However, a choking episode, acute cough, and absence of fever and rhinorrhea did not predict FBA. FOBAS showed an increased risk of FBA for each additional point of the score, with an odds ratio of 1.572 (95% CI-1.389-1.799). Conclusion: FOBAS is a good predictor for the presence of FBA in children. Once prospectively validated, FOBAS could aid in decision-making at the emergency department, enabling more standardized care, reducing unnecessary procedures, and leading to better clinical outcomes. What is Known: •The evaluation and management of a child with suspected foreign body aspiration (FBA) vary acrossphysicians and centers, without a consensus regarding the indications and criteria for performing bronchoscopy. • Flexible bronchoscopy is the standard procedure for the diagnosis and sometimes treatment of FBA inchildren, but it may hold potential complications. What is New: • We propose a newly developed foreign body aspiration score (FOBAS), based on medical history, physical examination, and chest X-ray findings, for the prediction of FBA in children at the emergency department. • The FOBAS is a good predictor of FBA in children. The score enables more standardized care and may reduce unnecessary procedures.

How Does Temporal and Sequential Delivery of Multiple Growth Factors Affect Vascularization Inside 3D Hydrogels?

AbstractVasculogenesis and angiogenesis are leveraged by orchestrated secretion of several growth factors. Mimicking this process in vitro can maximize vascularization inside 3D cell cultures. While the role of individual growth factors, such as vascular endothelial growth factor, Ephrin‐B2, angiopoietins, and platelet‐derived growth factor‐BB (PDGF‐BB) is well studied, the temporal influence of growth factor secretion, and the effect of their concentrations and combinations on in vitro vascularization inside hydrogels, have not been systematically investigated. Here, combinations of angiopoietin‐1, angiopoietin‐2, and PDGF‐BB improve vascularization of a human umbilical vein endothelial cells‐fibroblast coculture inside polyethylene glycol‐based hydrogels the most, while the optimal concentrations and time points of growth factor addition are determined. Moreover, fibroblasts, pericytes, and mesenchymal stem cells (MSCs) are compared as supporting cells, of which MSCs best promote vascularization in coculture. Additionally, the resulting blood vessels align with magnetically oriented rod‐shaped microgels when cultured inside the Anisogel. To mimic fibrosis, transforming growth factor‐beta is added, resulting in significantly smaller vessels and more collagen secretion. This in vitro study reveals that a cascade of growth factors can improve vascular formation in 3D hydrogels, which is important to create viable tissue‐engineered constructs for therapies and in vitro healthy and diseased tissue models.

Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization.

The skew and shape of the molecular weight distribution (MWD) of polymers have a significant impact on polymer physical properties. Standard summary metrics statistically derived from the MWD only provide an incomplete picture of the polymer MWD. Machine learning (ML) methods coupled with high-throughput experimentation (HTE) could potentially allow for the prediction of the entire polymer MWD without information loss. In our work, we demonstrate a computer-controlled HTE platform that is able to run up to 8 unique variable conditions in parallel for the free radical polymerization of styrene. The segmented-flow HTE system was equipped with an inline Raman spectrometer and offline size exclusion chromatography (SEC) to obtain time-dependent conversion and MWD, respectively. Using ML forward models, we first predict monomer conversion, intrinsically learning varying polymerization kinetics that change for each experimental condition. In addition, we predict entire MWDs including the skew and shape as well as SHAP analysis to interpret the dependence on reagent concentrations and reaction time. We then used a transfer learning approach to use the data from our high-throughput flow reactor to predict batch polymerization MWDs with only three additional data points. Overall, we demonstrate that the combination of HTE and ML provides a high level of predictive accuracy in determining polymerization outcomes. Transfer learning can allow exploration outside existing parameter spaces efficiently, providing polymer chemists with the ability to target the synthesis of polymers with desired properties.

Controlling Nutritional Status (CONUT) Score as a Predictive Marker in Hospitalized Frail Elderly Patients.

The Controlling Nutritional Status (CONUT) score is a simple screening tool able to detect altered nutritional status as well as to predict clinical adverse outcomes in specific populations. No data are available in frail patients. This study aims to investigate the predictive role of the CONUT score on mortality and length of stay (LOS) in frail patients admitted to an Internal Medicine Department. We consecutively enrolled 246 patients aged 65 years or older, divided into two groups based on frailty status. The two groups were further divided according to low (<5) or high (≥5) CONUT score. Length of stay (LOS) was higher in frail patients than not-frail patients, as well as in the frail group with high CONUT scores compared to the frail group with low CONUT scores. Multiple linear regression showed an increase of 2.1 days for each additional point to the CONUT score. In-hospital mortality was higher in frail compared to not-frail patients, but it did not differ between frail patients with high CONUT scores and frail patients with low CONUT scores. An analysis of the survival curve for 30-day mortality showed a higher mortality rate for frail/high-CONUT-score patients as compared to the not-frail/low-CONUT-score group. The CONUT score shows high prognostic value for higher LOS-but not mortality-in the clinical setting of internal medicine departments for old frail patients.

Developing a recipe for success: commentary on Seaman et al. (2021) “Eating invasives: chefs as an avenue to control through consumption”

ABSTRACT Can consumption of nonnative invasive species (NIS) contribute to their management and eradication? A recent publication by in Food, Culture & Society aimed to bring chefs and other non-academic and academic stakeholders to the table to discuss this topic. We applaud this effort, and, based on our backgrounds researching and discussing this topic among ecologists and natural resources managers, we feel several additional key points from the existing discourse should be served to new audiences. First, Seaman et al. suggest a lack of research on harvest-based NIS management, overlooking several contributions that we expand upon. Second, emphasis should be placed on coupling the reduction of negative consequences of NIS and their consumption to avoid “backfire” situations where eager harvesters inadvertently spread their invasive targets or consumer demand contributes to NIS spread rather than control. Finally, the growing number of participants in the discussion increases the need – and opportunity – for thoughtful partnerships between academics, managers, and the culinary “cultural gatekeepers” identified by Seaman et al. to maximize the effectiveness while minimizing unintentional consequences. We expand on these points in the hopes of continuing the conversation and working together to find effective – and delectable – methods for NIS management.

Research on spectral method of lost circulation layer located by transient pressure wave

AbstractLeakage in the wellbore annulus during drilling operations can affect normal production operations, resulting in a severe waste of resources and economic loss, so it is crucial to adopt a fast and effective leak identification method for subsequent plugging operations. For the complex problem of judging the location of the leakage layer, we proposed the method of excitation pressure wave to identify the location of the leakage layer. By analyzing the transfer of pressure waves within the annular pipe system and the pressure head response spectrum, the leak's location is identified based on the location of the resonance point and the change in resonance amplitude. The pressure wave signal contains too much noise. The variational mode decomposition (VMD) algorithm and the Hilbert joint spectrum were used to extract the main frequency components to reconstruct the signal to achieve the denoising effect. On this basis, the reconstructed signal is processed by fast Fourier transform (FFT) to obtain the pressure wave response spectrum, analyze the frequency domain features, and then determine the location of the leakage layer. The experimental results verify that: ① When a leak occurs in the wellbore annulus, the pressure wave will generate additional resonance points in the frequency domain due to the presence of the leak point. ② The combination of the VMD algorithm, FFT, and Hilbert joint spectrum can effectively remove the noise of the pressure wave signal. ③ The method effectively avoids the difficulty of identifying negative pressure waves in the time domain analysis of pressure wave signals. It can effectively locate the leaky layer in the frequency domain analysis. It is concluded that the principle of the method is feasible and has practical significance for field application.

The Correlation Among COVID-19 Vaccine Acceptance, the Ability to Detect Fake News, and e-Health Literacy.

The coronavirus disease 2019 (COVID-19) pandemic has seen a rise in the spread of misleading and deceptive information, leading to a negative impact on the acceptance of the COVID-19 vaccine and public opinion. To address this issue, the importance of public e-Health literacy cannot be overstated. It empowers individuals to effectively utilize information technology and combat the dissemination of inaccurate narratives. This study aimed to investigate the relationship between the ability to identify disingenuous news, electronic health literacy, and the inclination to receive the COVID-19 immunization. In this descriptive-analytical cross-sectional study conducted during summer 2021 in Isfahan, Iran, 522 individuals older than age 18 years, seeking medical attention at health centers, were surveyed. The participants were selected through a meticulous multistage cluster sampling process from the pool of individuals referred to these health centers. Along with demographic information, data collection instruments included the standard e-Health literacy questionnaire and a researcher-developed questionnaire designed to identify misinformation. The collected questionnaires were entered into SPSS 24 for statistical analysis, which included the Kruskal-Wallis test, the Chi-square test, the Spearman test, and logistic regression models. The study findings revealed a statistically significant relationship between acceptance of the COVID-19 vaccine and the ability to identify deceptive news. An increase of one unit in the score for recognizing misinformation led to a 24% and 32% reduction in vaccine hesitancy and the intention to remain unvaccinated, respectively. Furthermore, a significant correlation was found between the intention to receive the vaccine and e-Health literacy, where an increase of one unit in e-Health literacy score corresponded to a 6% decrease in the intention to remain unvaccinated. Additionally, the study found a notable association between the ability to detect false and misleading information and e-Health literacy. Each additional point in e-Health literacy was associated with a 0.33% increase in the capacity to identify fake news (Spearman's Rho = 0.333, p < .001). The study outcomes demonstrate a positive correlation between the COVID-19 vaccine acceptance, the ability to identify counterfeit news, and proficiency in electronic health literacy. These findings provide a strong foundation for policymakers and health care practitioners to develop and implement strategies that counter the dissemination of spurious and deceitful information related to COVID-19 and COVID-19 immunization. [HLRP: Health Literacy Research and Practice. 2023;7(3):e130-e138.].