Correction Strategy Research Articles

Cortical tracking of postural sways during standing balance

Maintaining an upright stance requires the integration of sensory inputs from the visual, vestibular and somatosensory-proprioceptive systems by the central nervous system to develop a corrective postural strategy. However, it is unclear whether and how the cerebral cortex monitors and controls postural sways. Here, we asked whether postural sways are encoded in ongoing cortical oscillations, giving rise to a form of corticokinematic coherence (CKC) in the context of standing balance. Center-of-pressure (CoP) fluctuations and electroencephalographic cortical activity were recorded as young healthy participants performed balance tasks during which sensory information was manipulated, by either removal or alteration. We found that postural sways are represented in ongoing cortical activity during challenging balance conditions, in the form of CKC at 1–6 Hz. Time delays between cortical activity and CoP features indicated that both afferent and efferent pathways contribute to CKC, wherein the brain would monitor the CoP velocity and control its position. Importantly, CKC was behaviorally relevant, as it predicted the increase in instability brought by alteration of sensory information. Our results suggest that human sensorimotor cortical areas take part in the closed-loop control of standing balance in challenging conditions. Importantly, CKC could serve as a neurophysiological marker of cortical involvement in maintaining balance.

Transition and Post-fault Correction Strategy for a Single-Phase Inverter With Improved Redundant Leg Utilization

Transition and Post-fault Correction Strategy for a Single-Phase Inverter With Improved Redundant Leg Utilization

Producing Work Ready Graduates Through Islamic Education Management Strategies

The policy regarding the need to produce graduates with high job readiness encourages Islamic Education Management study programs to be cautious in applying the correct strategies. Therefore, this article aims to concretely identify the strategies that can be used by Islamic Education Management programs to produce job ready graduates, explain why using these strategies correctly is important, and discuss the implications of the strategies employed in Islamic Education Management. This research was conducted using a qualitative method with a literature review approach. The researcher applied content analysis as a technique for data analysis. The results of this study indicate that the implementation of management strategies for Islamic education has shown good results in producing graduates who are job ready. This is evident from the high job readiness of graduates who successfully secured employment in relevant fields and institutions within a relatively short period, Based on the findings, the strategies employed by Islamic Education Management in producing job ready graduates include coaching, development, improvement, and training. The existence of these strategies serves to produce competent, competitive, quality and character driven graduates. The implications of the strategies applied in Islamic Education Management include the creation of managerial knowledge competencies among graduates, high job absorption rates, competent graduates, and graduates excelling in various professions related to Islamic Education Management. This research can contribute to the development of effective learning models that can enhance graduates adaptation in the workforce.

Fibrinogen and Prothrombin Complex Concentrate: The Importance of the Temporal Sequence—A Post-Hoc Analysis of Two Randomized Controlled Trials

Background/Objectives: A low level of soluble coagulation factors after cardiac surgery may cause excessive bleeding and trigger clinical correction using prothrombin complex concentrate (PCC). According to the current guidelines, the trigger values for PCC administration are not defined. In the published algorithms, when driven by ROTEM®, the triggers vary from 80 s to >100 s of coagulation time (CT) during an EXTEM test. Two randomized controlled trials on fibrinogen (FC) supplementation after cardiac surgery previously pointed out that the patients receiving FC supplementation had a significant decrease in their EXTEM CT. This study investigates the hypothesis that after increasing the availability of a substrate (fibrinogen), thrombin generation induces fibrin network formation faster, and that, before considering PCC administration, the normalization of fibrinogen levels should be sought. Methods: A retrospective study based on a post-hoc analysis of the data collected in two previous RCTs involving 85 patients, all of whom received FC supplementation. Results: The results of this post-hoc analysis demonstrate that there is a significant negative association between FIBTEM maximum clot firmness (MCF) and the EXTEM CTs before and after FC supplementation; FC supplementation decreases the EXTEM CTs both in patients with a low FIBTEM MCF and a normal FIBTEM MCF. After FC supplementation, 45 (53%) of the patients had an EXTEM CT of > 80 s, 22 (26%) had an EXTEM CT of > 90 s, and 8 (9%) had an EXTEM CT of > 100 s. Conclusions: Our study confirms and quantifies the effects of reducing EXTEM CTs through FC supplementation. A stepwise strategy of factors correction with FC supplementation should be used before considering PCC administration as it might reduce the need for PCC.

The Bleeding Edge: Managing Coagulation and Bleeding Risk in Patients with Cirrhosis Undergoing Interventional Procedures.

This review addresses the peri-procedural bleeding risks in patients with cirrhosis, emphasizing the need for careful coagulation assessment and targeted correction strategies. Liver disease presents a unique hemostatic challenge, where traditional coagulation tests may not accurately predict bleeding risk, complicating the management of procedures like paracentesis, endoscopic therapy, and various interventional procedures. As such, this paper aims to provide a comprehensive analysis of current data, guidelines, and practices for managing coagulation in cirrhotic patients, with a focus on minimizing bleeding risk while avoiding unnecessary correction with blood products. The objectives of this review are threefold: first, to outline the existing evidence on bleeding risks associated with common invasive procedures in cirrhotic patients; second, to evaluate the efficacy and limitations of standard and advanced coagulation tests in predicting procedural bleeding; and third, to examine the role of blood product transfusions and other hemostatic interventions, considering potential risks and benefits in this delicate population. In doing so, this review highlights patient-specific and procedure-specific factors that influence bleeding risk and informs best practices to optimize patient outcomes. This review progresses through key procedures often performed in cirrhotic patients. The discussion begins with paracentesis, a low-risk procedure, followed by endoscopic therapy for varices, and concludes with high-risk interventions requiring advanced hemostatic considerations. Each chapter addresses procedural techniques, bleeding risk assessment, and evidence-based correction approaches. This comprehensive structure aims to guide clinicians in making informed, evidence-backed decisions in managing coagulation in cirrhosis, ultimately reducing procedural complications and improving care quality for this high-risk population.

Underwater image quality enhancement using fusion of adaptive colour correction and improved contrast enhancement strategy

ABSTRACT Underwater images suffer from poor visibility due to low contrast, colour degradation, and noise, making them unsuitable for several visual tasks. While significant progress has been made recently in enhancing underwater images, achieving robust improvements remains a challenge. To address these issues, a new two-step framework combining adaptive colour correction and an improved local and global contrast enhancement algorithm are proposed to improve the quality of underwater images significantly. First, an adaptive colour correction strategy to compensate for degraded colour channels according to compensation factors for restoring the balance in the damaged colour channels is developed. Secondly, an improved contrast enhancement algorithm is presented to enhance the local and global contrast of underwater image and to sharpen the textural details. Finally, these two output images are fused together using principal component analysis (PCA) fusion. Experiments conducted on the established benchmarks for underwater image enhancement, namely the UIEB and EUVP datasets, have demonstrated the capability of the proposed algorithm to produce images of superior quality in terms of qualitative and quantitative performance measures compared to the latest state-of-the-art methods.

Secondary school students’ strategies when interpreting histograms and case-value plots: an eye-tracking study

AbstractMany students persistently misinterpret histograms. This calls for closer inspection of students’ strategies when interpreting histograms and case-value plots (which look similar but are different). Using students’ gaze data, we ask: How and how well do upper secondary pre-university school students estimate and compare arithmetic means of histograms and case-value plots? We designed four item types: two requiring mean estimation and two requiring means comparison. Analysis of gaze data of 50 students (15–19 years old) solving these items was triangulated with data from cued recall. We found five strategies. Two hypothesized most common strategies for estimating means were confirmed: a strategy associated with horizontal gazes and a strategy associated with vertical gazes. A third, new, count-and-compute strategy was found. Two more strategies emerged for comparing means that take specific features of the distribution into account. In about half of the histogram tasks, students used correct strategies. Surprisingly, when comparing two case-value plots, some students used distribution features that are only relevant for histograms, such as symmetry. As several incorrect strategies related to how and where the data and the distribution of these data are depicted in histograms, future interventions should aim at supporting students in understanding these concepts in histograms. A methodological advantage of eye-tracking data collection is that it reveals more details about students’ problem-solving processes than thinking-aloud protocols. We speculate that spatial gaze data can be re-used to substantiate ideas about the sensorimotor origin of learning mathematics.

ALTP heat flux sensor: the compensation of the ordinary Seebeck effect through a new structure

Abstract This technical note highlights the detrimental impact of the ordinary Seebeck effect (SE) on the accuracy of atomic layer thermopile (ALTP) heat flux sensors and presents an innovative structural design and correction approach. ALTP sensors are based on the Transverse Seebeck effect (TSE), linking their output directly to the temperature difference (ΔTz ) across the sensor’s sensitive film layers. Experimental analysis reveals that a temperature gradient (ΔTx ) along the film’s tilt direction, via the SE, introduces a bias voltage, causing a substantial maximum relative error of 56.4% in measurements. To counteract this issue, we introduce a novel structural configuration and correction strategy, effectively reducing the relative error to 4.1%, and thereby significantly enhancing the precision of ALTP heat flux sensors.

Unmanned Aerial Vehicle-Neural Radiance Field (UAV-NeRF): Learning Multiview Drone Three-Dimensional Reconstruction with Neural Radiance Field

In traditional 3D reconstruction using UAV images, only radiance information, which is treated as a geometric constraint, is used in feature matching, allowing for the restoration of the scene’s structure. After introducing radiance supervision, NeRF can adjust the geometry in the fixed-ray direction, resulting in a smaller search space and higher robustness. Considering the lack of NeRF construction methods for aerial scenarios, we propose a new NeRF point sampling method, which is generated using a UAV imaging model, compatible with a global geographic coordinate system, and suitable for a UAV view. We found that NeRF is optimized entirely based on the radiance while ignoring the direct geometry constraint. Therefore, we designed a radiance correction strategy that considers the incidence angle. Our method can complete point sampling in a UAV imaging scene, as well as simultaneously perform digital surface model construction and ground radiance information recovery. When tested on self-acquired datasets, the NeRF variant proposed in this paper achieved better reconstruction accuracy than the original NeRF-based methods. It also reached a level of precision comparable to that of traditional photogrammetry methods, and it is capable of outputting a surface albedo that includes shadow information.

The effectiveness of misinformation corrective strategies and implications for consumers' food preferences and policy attitudes

AbstractThis study investigates the effect of food biotechnology misinformation on consumer demand and attitudes toward bioengineered food and tests the effectiveness of pre‐bunking and debunking mitigation strategies. Using choice experiment data from a sample of 1270 U.S. consumers, we find that exposure to misinformation has a significant effect on consumers' food preferences and policy attitudes. We also find that while pre‐bunking is an effective mitigating strategy, debunking by itself is not sufficient. Our findings suggest that preemptively warning consumers about misinformation and the tactics used to spread it is more effective than merely correcting the misinformation afterward.

АНАЛІЗ ЦІНОВИХ СТРАТЕГІЙ ТА СПОЖИВЧА ПОВЕДІНКА В КОНТЕКСТІ МАРКЕТИНГОВИХ ДОСЛІДЖЕНЬ

Abstract introduction. The article examines the views of scientists regarding the formation of price strategies. The main approaches to pricing are considered, with the help of which companies set optimal prices for their services and goods. Factors affecting the company's choice of pricing strategy and affecting consumer behavior are considered. It is conducted research in relation to behavior of consumers and built model of satisfaction of consumer necessities. The purpose of the article. Consideration of pricing strategies of companies and their impact on consumer behavior. Researching consumer behavior and building a model for satisfying consumer needs in goods or services. Methods. Carrying out research the methods of abstraction, analysis, logical, theoretical and historical generalization and comparison are used. For basis of research a dialectical method is taken. Results. The article examines the main approaches to pricing, with the help of which companies set optimal prices for their services and goods. The factors affecting the company's choice of price strategy are considered, and the factors influencing consumer behavior are highlighted. Conducted research on consumer behavior. The proposed model of meeting the needs of consumers in goods or services, which contains 8 sections: the consumer's awareness of the need for the need for a product or service; collection of information; selection of goods or services; decision-making; purchase (payment) of goods or services; evaluation of the choice made and enrichment of experience; the degree of satisfaction of the need for a product or service and consumption of the results. Conclusiоns. After researching and analyzing the available types of marketing price strategies, business entities choose their own price strategy, taking into account certain existing tools, taking into account: characteristics of the service or product, market segment, market competition, competitor analysis, level of market demand, marketing strategies, etc. .. The use of the correct price strategy and the concept of pricing contributes to the achievement of goals: ensuring the stable financial condition of the business entity, meeting the needs of consumers. The offered model in relation to satisfaction of necessities of consumers in commodities or services gives understanding to the process of making decision by consumers in relation to a purchase that is the basic factor of success of company in a competition environment. Companies, that is able to adapt oneself to the necessities of consumers and, to their requirements, that understand the customers, have more chances to retain and attract clients, promote a competitiveness and score a success at the market. The question of the method of determining prices for certain types of services and the behavioral reaction of consumers requires further research.

Meta-Comprehension and Reading Comprehension in Future Teachers: Implications for Educational Quality in the Context of the SDG

Objective: Reading comprehension is a fundamental component to achieve quality education at all educational levels. This study aimed to analyze the relationship between metacomprehension strategies and reading comprehension in university students. Theoretical framework: The research is based on the Metacognition Theory, the Construction-Integration Theory and the Transactional Reading Model, which highlight the importance of self-regulation and metacognition in the comprehension of complex academic texts. Method: A quantitative approach and a cross-sectional correlational design were used, a sample of 138 students selected through stratified probability sampling of a population of 215 was studied. Data were collected with the Inventory of Strategies of Reading Metacomprehension and a reading comprehension test. Results and discussion: The findings show that reading metacomprehension allows students to monitor and improve their comprehension of texts, applying effective corrective strategies. This skill is crucial for addressing dense texts, improving literal and inferential comprehension. The research showed that there is a relationship between metacomprehension strategies and the level of reading comprehension. Research Implications: The results impact curricular planning and the development of teaching programs, suggesting the need for practices that promote meta-understanding to improve academic performance. Originality: This research provides evidence on the relevance of meta-understanding in higher education, providing guidance for pedagogical practices that promote self-regulation and metacognition in university learning.

A multi-exposure image fusion using adaptive color dissimilarity and dynamic equalization techniques

In the domain of image processing, Multi-Exposure Image Fusion (MEF) emerges as a crucial technique for developing high dynamic range (HDR) representations from fusing sequences of low dynamic range images. Conventional fusion methods often suffer from shortcomings such as detail loss, edge artifacts, and color inconsistencies, thereby compromising the quality of the fused output which is further diminished with extremely exposed and limited inputs. While there have been a few efforts to conduct fusion on limited and impaired static input images, there has been no exploration into the fusion of dynamic image sets. This paper proposes an effective MEF approach that operates on a minimum of two extremely exposed, limited datasets of both static and dynamic scenes. The approach initiates with categorizing input images into under-exposed and over-exposed categories based on lighting levels, subsequently applying tailored exposure correction strategies. Through iterative refinement and selection of optimally exposed variant, we construct an advanced intermediate stack, upon which fusion is performed by a pyramidal fusion technique. The method relies on adaptive well-exposedness and color gradient to develop weight maps for pyramidal fusion. The initial weights are refined using a Gaussian filter and this results in the creation of a seamlessly fused image with expanded dynamic range. Additionally, for dynamic imagery, we propose an adaptive color dissimilarity and dynamic equalization to reduce ghosting artifacts. Comparative assessments against existing methodologies, both visually and empirically confirms the superior performance of the proposed model.

A turbulence model: Second-order temporal accuracy

This paper develops the defect-deferred correction method of finite element discretization to solve a turbulence model. The method consists of two phases: (1) implementing an artificial viscosity term as a defect step and (2) applying a correction strategy. This method can not only achieve second-order accuracy in time but also simulate small viscosity problem. Moreover, the stability and convergence of the defect step and the deferred correction step are proven, respectively. Finally, we perform several numerical examples to validate the theoretical analysis and illustrate the effectiveness of the proposed method.

A p38 MAPK-ROS axis fuels proliferation stress and DNA damage during CRISPR-Cas9 gene editing in hematopoietic stem and progenitor cells

Exvivo activation is a prerequisite to reaching adequate levels of gene editing by homology-directed repair (HDR) for hematopoietic stem and progenitor cell (HSPC)-based clinical applications. Here, we show that shortening culture time mitigates the p53-mediated DNA damage response to CRISPR-Cas9-induced DNA double-strand breaks, enhancing the reconstitution capacity of edited HSPCs. However, this results in lower HDR efficiency, rendering exvivo culture necessary yet detrimental. Mechanistically, exvivo activation triggers a multi-step process initiated by p38 mitogen-activated protein kinase (MAPK) phosphorylation, which generates mitogenic reactive oxygen species (ROS), promoting fast cell-cycle progression and subsequent proliferation-induced DNA damage. Thus, p38 inhibition before gene editing delays G1/S transition and expands transcriptionally defined HSCs, ultimately endowing edited cells with superior multi-lineage differentiation, persistence throughout serial transplantation, enhanced polyclonal repertoire, and better-preserved genome integrity. Our data identify proliferative stress as a driver of HSPC dysfunction with fundamental implications for designing more effective and safer gene correction strategies for clinical applications.

Physicochemical characteristics, mycoflora and aflatoxins in corn grown and stored in Northern Tamaulipas, Mexico

In northern Tamaulipas, México, the contamination of corn by toxigenic fungi reduces grain production and quality. Corn contaminated by mycotoxins puts humans and livestock at risk. Continuous monitoring of the sanitary quality of grain at harvest and in storage will define preventive and corrective strategies for contamination by mycotoxigenic fungi. In this work, we identified toxigenic fungi associated with corn grown and stored in northern Tamaulipas, identified and quantified aflatoxins and their relationships with the physicochemical characteristics of the grain, and identified the main genes responsible for aflatoxin production in A. flavus. Fungal incidence was evaluated in vitro, aflatoxin production was evaluated via HPLC, and physicochemical traits were evaluated via spectrophotometry. Three genera were identified: Fusarium, Aspergillus, and Penicillium; the latter had the highest incidence in both 2011 and 2012. The incidence was higher in 2012 (82.3%) than in 2011 (4.5%), and storage did not affect the incidence. Associations among fungal incidences and physicochemical traits were significant and intermediate in both years. AFB1 production was negatively associated with hectoliter weight, and total fungal incidence was positively related to the incidence of Penicillium, Fusarium, and Aspergillus and negatively related to the flotation index. AFB1 was detected in 13.18% of the samples, with values ranging from 3.4881.33 ppb upon receipt and from 4.3245.92 ppb after storage. Two samples exceeded the allowed limits for Mexico (20 ppb). The aflD and aflQ genes were detected in 52.1 and 56.3%, respectively, of the A. flavus isolates.

The relationship between silver prices and consumer price index: Evidence on China market

This study examines the relationship between Chinese silver prices and inflation to help investors predict inflation in China and hedge risks during inflationary periods. This article constructs a regression model using the least squares method with silver price as the independent variable, consumer price index (CPI) as the dependent variable, and gold price as the control variable. According to the regression model, the research results indicate that in China, inflation risk cannot be predicted by the price of silver, and even investors cannot hedge their risk with silver during inflation periods. On the contrary, as a traditional precious metal, gold can predict inflation and provide hedging during this period. Based on these findings, this article suggests that Chinese investors should pay attention to the hedging differences between precious metals and make correct investment strategies based on the impact of silver and gold prices on inflation to cope with China’s growing inflation risk.

Periodontal disease and cardiovascular disease: umbrella review

BackgroundPeriodontal disease (PD) is an infectious and inflammatory condition that affects the tissues surrounding and supporting the teeth. It has been suggested that PD may be associated with cardiovascular disease (CVD), one of the leading causes of mortality worldwide. Our study aimed to investigate the association between PD and CVD through an umbrella review.MethodsA comprehensive search was conducted until April 2024 across various electronic databases, including PubMed, Cochrane Library, Scopus, SciELO, Web of Science, Google Scholar, ProQuest Dissertations and Theses, and OpenGrey. Systematic reviews with or without meta-analysis were considered for inclusion, without any limitations on time or language, provided they examined primary studies linking PD with CVD. The AMSTAR-2 tool was employed to assess the quality and overall confidence of the included studies.ResultsAfter the initial search, a total of 516 articles were identified. Following the application of selection criteria, 41 articles remained for further consideration. All these studies indicated an association between PD and CVD, with odds ratios and risk ratios ranging from 1.22 to 4.42 and 1.14 to 2.88, respectively.ConclusionsSystematic reviews with high overall confidence support the association between PD, tooth loss, and cardiovascular diseases. However, it is crucial to interpret these results with caution due to methodological limitations. The potential public health relevance justifies preventive and corrective oral health strategies. Additionally, the need for rigorous future research is highlighted to strengthen the evidence and guide effective public health strategies.

A Global-in-Time Neural Network Approach to Dynamic Portfolio Optimization

ABSTRACT We discuss a neural network approach, which does not rely on dynamic programming techniques, to solve dynamic portfolio optimization problems subject to multiple investment constraints. The approach allows for objectives of a very general form encompassing both time-consistent and time-inconsistent objectives, as well as objectives requiring multi-level optimization. The number of parameters of the neural network remains independent of the number of portfolio rebalancing events. Compared to reinforcement learning, this technique avoids the computation of high-dimensional conditional expectations. The approach remains practical when considering large numbers of underlying assets, long investment time horizons or very frequent rebalancing events. We prove convergence of the numerical solution to the theoretical optimal solution of a large class of problems under fairly general conditions, and present ground truth analyses for a number of popular formulations, including mean-variance, mean-semi-variance, and mean-conditional value-at-risk problems. Numerical experiments show that if the investment objective functional is separable in the sense of dynamic programming, the correct time-consistent optimal investment strategy is recovered, otherwise we obtain the correct pre-commitment (time-inconsistent) investment strategy. This method is agnostic as to the underlying data generating assumptions, and results are illustrated using (i) parametric models for underlying asset returns, (ii) stationary block bootstrap resampling of empirical returns, and (iii) generative adversarial network (GAN)-generated synthetic asset returns.

The influence of static versus dynamic pressure distribution strategies for modelling nonlinear waves generated by ships

A moving static pressure distribution is commonly used to simulate a travelling ship. However, the ship movement changes the fluid velocity around the hull, inducing pressures on the hull surface that are no longer equal to the static pressure. Therefore, we introduce a dynamic pressure correction strategy, which can accurately simulate the impact of the ship movement on the hull-surface pressure and preserve the desired hull shape under both stationary and transient conditions. The strategy is applied to a high-order spectral model and used to investigate ship-induced waves and wave resistance over a both flat and variable topography. We explore various parameters in our study, including the average water depth to ship draft ratio ( $h_0/d$ ), the channel width to ship width ratio ( $W/B$ ), the Froude number ( $Fr_0=U/\sqrt {gh_0}$ ) and variations in bathymetric slope. Compared with experiments on a flat bottom, the numerical results with dynamic correction show better accuracy in the simulation of ship-induced waves and wave resistance than those obtained using a static pressure distribution. The correlation coefficient for wake waves between the numerical and experimental results is improved by approximately 0.25 with the dynamic correction strategy. The amplitude and wavelength of ship-induced mini-tsunamis over a variable topography are found to be reduced when employing a dynamic correction compared with a static pressure distribution, and this effect becomes more pronounced with higher Froude number. The static pressure approach is shown to allow large deformations of the desired hull shape and changes in ship volume which are responsible for the different wave patterns from the two approaches.