Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanism of Hypoxia-Activated MiR-194 /FoxO3a Inducing Glycolytic Metabolism Reprogramming in Gastric Precancerous Lesions

Background: Early diagnosis and treatment of gastric precancerous lesions (GPL) are key factors for reducing the incidence and morbidity of gastric cancer. The study aimed to examine GPL in mice induced by MNU and to illustrate the underlying mechanisms of tumorigenesis.Methods: In this study, we utilized an in vivo MNU (N-methyl-N-nitroso-urea)-induced GPL mouse model, Histopathological changes of the gastric mucosa were observed by Hematoxylin and Eosin (H&E-stain) and alcian blue (AB-PAS-stain); The level of miR-194-5p in the gastric mucosa were determined by real‐time polymerase chain reaction; We used transmission electron microscopy to observe the effects of MNU on gastric chief cells and parietal cells; We performed immunohistochemical detection of HIF-1α, vWF, Ki-67 and P53, while the changes in protein expression of key genes in LKB1-AMPK and AKT-FoxO3 signaling pathways were detected by western blot analysis.Results: We demonstrated that miR-194-5p expression was upregulated under hypoxia in GPL gastric tissues, and that a high miR-194-5p expression level closely related with tumorigenesis. Mechanistically, miR-194-5p exerted the acceleration of activities related to metabolic reprogramming through LKB1-AMPK and AKT-FoxO3 pathways. Furthermore, similar to miR-194-5p, high expression levels of AMPK and AKT were also related to the metabolic reprogramming of GPL. Moreover, we revealed the correlation between the expression levels of miR-194-5p, p-AMPKα, p-AKT, and FoxO3a. Conclusions: These findings suggest that miR-194-5p/FoxO3 pathway is important for the reversal of metabolic reprogramming in GPL. Thus, exploring strategies to regulate the miR-194-5p/FoxO3a pathway may provide an efficient strategy for the prevention and treatment of GPL.
Relationship between Cognitive Performance and Visual Motor Integration in Preschool Children in A Community: A Pilot Study

ABSTRACT The purpose of this pilot study was to explore cognitive performance and visual motor integration, and investigate the relationship between them in preschool children in a community. Forty-nine participants were selected by stratified random sampling from a local community school and community child development center in Thailand. The instruments used were the Miller Assessment for Preschoolers (MAP) and the Beery-Buktenica Developmental Test of Visual-Motor Integration (Beery VMI). Results showed that most of the preschool children (59.18%) had cognitive performance at the average level, and the percentage of such children increased when they reached the higher education level. Most of the children (79.60%) had an average VMI score of above the average level, which also increased when they reached the higher education level. In addition, the relationship between cognitive performance and VMI indicated a statistically significant relationship between verbal cognitive performance and VMI in the group of Kindergarten 1 (KG-1) participants (r = .417, p < .05).
A Few Covid Vaccine Recipients Developed a Rare Blood Disorder.

EMA’s safety committee (PRAC) has concluded today that unusual blood clots with low blood platelets should be listed as very rare side effects of Vaxzevria (formerly COVID-19 Vaccine AstraZeneca). In reaching its conclusion, the committee took into consideration all currently available evidence, including the advice from an ad hoc expert group. EMA is reminding healthcare professionals and people receiving the vaccine to remain aware of the possibility of very rare cases of blood clots combined with low levels of blood platelets occurring within 2 weeks of vaccination. So far, most of the cases reported have occurred in women under 60 years of age within 2 weeks of vaccination. Based on the currently available evidence, specific risk factors have not been confirmed.
European Society of Cardiology Quality Indicators for the care and outcomes of cardiac pacing: developed by the Working Group for Cardiac Pacing Quality Indicators in collaboration with the European Heart Rhythm Association of the European Society of Cardiology

Abstract Aims To develop a suite of quality indicators (QIs) for the evaluation of the care and outcomes for adults undergoing cardiac pacing. Methods and results Under the auspice of the Clinical Practice Guideline Quality Indicator Committee of the European Society of Cardiology (ESC), the Working Group for cardiac pacing QIs was formed. The Group comprised Task Force members of the 2021 ESC Clinical Practice Guidelines on Cardiac Pacing and Cardiac Resynchronization Therapy, members of the European Heart Rhythm Association, international cardiac device experts, and patient representatives. We followed the ESC methodology for QI development, which involved (i) the identification of the key domains of care by constructing a conceptual framework of the management of patients receiving cardiac pacing, (ii) the development of candidate QIs by conducting a systematic review of the literature, (iii) the selection of the final set of QIs using a modified-Delphi method, and (iv) the evaluation of the feasibility of the developed QIs. Four domains of care were identified: (i) structural framework, (ii) patient assessment, (iii) pacing strategy, and (iv) clinical outcomes. In total, seven main and four secondary QIs were selected across these domains and were embedded within the 2021 ESC Guidelines on Cardiac Pacing and Cardiac Resynchronization therapy. Conclusion By way of a standardized process, 11 QIs for cardiac pacing were developed. These indicators may be used to quantify adherence to guideline-recommended clinical practice and have the potential to improve the care and outcomes of patients receiving cardiac pacemakers.
Getting Granular— Uncovering Actionable Insights for Effective Social Media Management in the Higher Education Sector

ABSTRACT Current research reveals the importance social media use has on the marketing and branding efforts of nonprofit organizations. Particularly in higher education, scholarship shows the benefits of using social media to attract prospective students, facilitate alumni donations, and communicate with and support current students. However, within this context, limited attention has been paid to the actionable insights of the branding and outreach processes of social media professionals managing these accounts for higher educational institutions (HEIs). Therefore, this study attempts to uncover how specialists managing HEI social media accounts with high levels of engagement generate and leverage social media content using grounded theory methodology. The purpose of this inductive approach was to present the specific strategies and tactics associated with the management of top-performing HEI social media accounts in order to contribute to the construction of a set of best practices and meaningful actions that can be practically incorporated by marketing professionals in higher education as well as the nonprofit sector more broadly. Additionally, findings from this research are intended to build upon the extant literature that purports the value of HEIs using social media to support their communities but does not dig into the nuance of how social media management is executed.
Competition in the insurance sector – An application of Boone indicator

Abstract Competition in the insurance sector is an important element since it leads to the reduction in risk and uncertainty, enables efficient resources allocation, enhances product innovation, enhances economic growth and improves efficient production of financial services. The study evaluates competition in the insurance sector in Zimbabwe during the period 2010–2017. Of interest is the evolution of competition during the period when the economy had transitioned from hyperinflation. How competition evolved during this period is of interest due to the changes in macroeconomic management styles that were experienced after the hyperinflation period. Of novelty to this study is the use of the Boone Indicator, one of the new empirical industrial organisation methods. The method is premised on the idea that efficient firms achieve higher market shares or profits. The study established that competition was moderate in the insurance industry during the study period. The results further revealed that there was no significant difference in competition in the periods 2013–2017 and 2010–2012. The study recommends that the government should ensure that the macroeconomic environment is conducive for businesses to compete. The economy should be prevented from sliding into hyperinflationary environment, which negatively impacts policy holders as well as insurance companies. The government should put in place pro-growth policies to ensure insurance companies thrive. It has been shown that since the economy started experiencing moderate growth rates, there has been increased activity among insurance companies.
UAV adaptive trajectory tracking control under unknown time-varying disturbance and input saturation

In this paper, the flight control of the Unmanned aerial vehicle (UAV) is discussed with the proposed adaptive dynamic surface control method owing to its underactuated and non-linear characteristics. The proposed control algorithm is based on radial basis function (RBF) neural network and anti-saturation auxiliary system to realize high-precision trajectory tracking under time-varying disturbances and input saturation. First, the nonlinear dynamic model of the UAV with disturbances is established with the aid of rigid body motion theory. With the adoption of the dynamic surface control algorithm, the error surface and the Lyapunov function are defined to design the preliminary control law of the designed controller. Then the RBF neural network is introduced to estimate and compensate the disturbance. Further, an anti - saturation module is designed to tackle the problem of input saturation. By using the Lyapunov stability theory, it is proved that the stability and signal consistency of the closed-loop system are bounded, along with the constrained conditions of the control parameters. Simulation experiments have been performed and the results demonstrate that the proposed control algorithm has high-precision trajectory tracking ability and strong anti-disturbance capability under the input saturation constraint with high control performance.
Effect of three different set-up conditions on the propulsive force measures, reliability, and ecological validity during front crawl tethered-swimming

ABSTRACT This study analysed the effect of three set-up conditions on the propulsive force (PF) measures, test–retest reliability, and ecological validity during front crawl tethered-swimming (TS). Twenty-five (20.3 ± 3.7 years) swimmers performed TS in three conditions: Slp0 (0º of cable slope), Slp10 (10º of slope) and Slp20 (20º of slope), in two sessions. The second session included a 50-m performance and a questionnaire on the similarity of TS and free-swimming and overall comfort. Peak, mean force, impulse and force development rate, 50-m time and mean velocity, similarity scores and comfort were analysed. Effect of TS condition (p < 0.001) was observed for peak, mean force and force development rate. Regardless of the condition, reliability ranged from good to excellent (ICC = 0.79–0.95) and correlations with performance time (r≥-0.7) and mean velocity (r ≥ 0.63) were significant for all PF variables. The similarity between TS and free-swimming, and overall comfort as perceived by the swimmers, did not differ between conditions. Set-up condition influences the measures of PF in front-crawl TS. All conditions are reliable and present similar associations between PF and performance. Ecological validity indicators were near to the halfway point of the measurement scales independently of the condition.
Effect of the Carrier on the Coprecipitation of Curcumin through Supercritical-Assisted Atomization

In this paper, composite systems containing curcumin (CUR) were prepared through supercritical-assisted atomization (SAA), using different carriers. Curcumin is particularly interesting in the pharmaceutical and nutraceutical fields for its antioxidant, antitumoral, and anti-inflammatory properties. However, its therapeutic effect on human health is restricted by its poor water solubility and low dissolution rate, limiting its absorption after its oral administration. To increase the dissolution rate and then the bioavailability of the active compound, CUR was coprecipitated with polymeric, i.e., polyvinylpyrrolidone (PVP) and dextran (DXT), and not polymeric, i.e., hydroxypropyl-β-cyclodextrin (HP-β-CD), carriers. The effects of some operating parameters, namely the concentration of solutes in solution and the active compound/carrier ratio, on the morphology and the particle size distribution of the powders were investigated. Submicrometric particles were produced with all the carriers. Under the best operating conditions, the mean diameters ± standard deviation were equal to 0.69 ± 0.20 μm, 0.40 ± 0.13 μm, and 0.81 ± 0.25 μm for PVP/CUR, DXT/CUR, and HP-β-CD/CUR, respectively. CUR dissolution rates from coprecipitated particles were significantly increased in the case of all the carriers. Therefore, the results are exciting from a pharmaceutical and nutraceutical point of view, to produce supplements containing curcumin, but assuring a high dissolution rate and bioavailability and, consequently, a more effective therapeutic effect.
Integrated optimization of multiproduct multiperiod transportation and inventory under a carbon cap constraint for online retailers

This study aims to solve the problem of multiproduct multiperiod integrated transportation and inventory optimization for online retailers. A carbon cap constraint and multitype of capacitated trucks are simultaneously incorporated into the proposed mixed-integer program. A simulated annealing (SA) algorithm is designed. CPLEX 12.9. 0 is used to solve the submodel obtained from the neighbourhood search and is also used to get the optimal solutions for instances. Experimental results show that the simulated annealing algorithm can find satisfactory solutions within a reasonable time. When the problem size increases, the growth of the computational time of the SA algorithm is significantly smaller than that of the CPLEX. A sensitivity analysis for the carbon cap is also conducted. The results indicate that if the carbon cap is gradually tightened, the total cost increases first with a gentle slope, and then with a remarkable slope, same as for the total number of trucks used; the total carbon emissions first decrease with a gentle slope, and then decline with a significant slope. When the carbon cap is strict, only a few different types of trucks will be considered. The percentage changes of the total cost increase and the total carbon emission reduction are also compared. When the allowed carbon emissions are gradually reduced, situation of a higher amount of carbon emission reduction and a lower amount of cost increase can be achieved. Additionally, using multiple types of trucks in the integrated optimization of transportation and inventory decisions can achieve greater cost savings with lower increments of carbon emission.
Introducing a composite measure of trust in financial services

ABSTRACT Existing trust scales generally measure aspects of trustworthiness and not trust per se. Trust is a broader concept encompassing attributes of the trustee, trustor and the situation/context. The purpose of this study is to develop a composite measurement scale for trust in financial services that incorporates elements of these three facets of trust. The study draws on interdisciplinary theories and adopts a broadly quantitative approach to develop, test and validate a five-dimensional scale for measuring trust in financial services. The trust scale for financial services developed through this study has five dimensions (5Cs): character-competence, congruence, communication, commitment and context. The scale provides a holistic conceptualisation of trust and displays solid psychometric properties. A comprehensive interdisciplinary trust scale for financial services, with strong reliability and validity, holds important managerial implications, its ability to capture the attributes of the trustee, trustor and financial system attesting to its suitability as a diagnostic tool to measure trust more robustly. Our trust scale has significant practical implications, offering useful insights for policymakers, commercial organisations and other stakeholders. This is the first trust scale for financial services that captures the attributes of trustee, trustor and context, reconcilling tensions between the conceptualisation and operationalisation of trust.
The Effect of Silence and Dual-Band Fusion in Anti-Spoofing System

The current neural network based anti-spooﬁng systems have poor robustness. Their performance degrades further after voice activity detection (VAD) performed, making it difﬁcult to be applied in practice. This work investigated the effect of silence at the beginning and end of speech, ﬁnding that silent differences are part of the basis for countermeasures’ judgements. The reason for the performance deterioration caused by VAD is also explored. The experimental results demonstrate that the neural network loses the information about silent segments after the VAD operation removes them. This can lead to more serious overﬁtting. In order to solve the overﬁtting problem, the work in this paper also analyzes the reasons for system overﬁtting from different frequency sub-bands. It is found that the high-frequency part of the feature is the main cause of system over-ﬁtting, while the low-frequency part is more robust but less accurate against known attacks. Therefore, we propose the dual-band fusion anti-spooﬁng algorithm, which requires only two sub-systems but outperforms all but one primary system submitted to the logical access condition of the ASVspoof 2019 challenge. Our system has an EER of 3.50% even after VAD operations performed, thus can be put into practical application.
Magic(al)ing in a time of COVID-19: becoming literacies and new inquiry practices

ABSTRACT This article conceptualizes the notion of magic(al)ing in relation to post-pandemic ways of thinking about data production and analyses. Revisiting old data produced pre-COVID-19 and engaging with new data produced during COVID-19, we consider the possibilities and potential of magic(al)ing as a theoretical concept. We think with several ideas informed by feminist ‘new’ materialists and post-inspired philosophies to conceptualize magic(al)ing: monism, spacetimemattering, blooms spaces and the pedagogy of an affective world. Over a year, we embarked on a reading/thinking inquiry about magic and literacies and their combined strength in locating literacies as embodied, relational, and sensory. Magic(al)ing has the potential to frame literacy moments as socio-material instances filled with affective flows and intensities. The concept of magic(al)ing fosters a space to not only rethink literacy but also to explore humans in relation to literacies. Kuby returns to an orange-paper-frog-puppet , a magic(al)ing moment that she often comes back to when thinking of the be(com)ing of literacies, especially in the uncertain times we find ourselves in a pandemic. Rowsell returns to a flowery artifact by a little girl who took part in a makerspace study in April 2019, speculating on how the same research could be conducted during lockdown. We also think-with new, unexpected data produced during COVID-19. As we engage again with these magic(al)ing moments, we explore the guest editors’ question: What methodological approaches are possible, and which kinds of research collaborations are appropriate?
Nearshore microfossil assemblages in a Caribbean reef environment show variable rates of recovery following Hurricane Irma

Modern microfossil distributions reflect site‐specific habitats and provide an opportunity to assess sediment transport pathways in the nearshore environment. When applied to overwash deposits in the geological record, they provide insight into sediment provenance and transport, factors important for understanding patterns of frequency and intensity of past storms and tsunamis. Modern distribution studies are rare and often the first established ones occur immediately after an overwash event as part of a post‐event field survey. This is problematic because it is unclear what effect overwash events have on nearshore microfossil assemblages and what time interval is necessary for them to return to pre‐event conditions. This study documents the impacts of Hurricane Irma on nearshore sediments off the coast of Anegada, British Virgin Islands, using distributions of Homotrema rubrum, an encrusting foraminifer with a defined provenance in coral reefs. At four sampling intervals spanning two years, from six months pre‐Hurricane Irma to eighteen months after, surface sediment was collected from three transects on the northern and southern shores of the island. Partitioning Around Medoids cluster analysis revealed that Hurricane Irma introduced an influx of well‐preserved fragments into the reef flat and made the sediments more uniform, limiting the foraminifer’s utility as a known sediment transport indicator. The mixing of sediments along the two northern transects (reef proximal) persisted for seven to eighteen months before returning to near pre‐hurricane conditions. However, the southern transect (absence of reef), where Homotrema rubrum concentrations are significantly less, failed to recover within the time period assessed by this study, indicating a variable recovery period between Atlantic Ocean and Caribbean Sea facing shorelines. Results from this study suggest that a waiting period of at least eighteen months after a major storm is recommended before collecting surface sediment from the nearshore environments of reef‐dominated coastlines.
Posits and the state of numerical representations in the age of exascale and edge computing

Growing constraints on memory utilization, power consumption, and I/O throughput have increasingly become limiting factors to the advancement of high performance computing (HPC) and edge computing applications. IEEE‐754 floating‐point types have been the de facto standard for floating‐point number systems for decades, but the drawbacks of this numerical representation leave much to be desired. Alternative representations are gaining traction, both in HPC and machine learning environments. Posits have recently been proposed as a drop‐in replacement for the IEEE‐754 floating‐point representation. We survey the state‐of‐the‐art and state‐of‐the‐practice in the development and use of posits in edge computing and HPC. The current literature supports posits as a promising alternative to traditional floating‐point systems, both as a stand‐alone replacement and in a mixed‐precision environment. Development and standardization of the posit type is ongoing, and much research remains to explore the application of posits in different domains, how to best implement them in hardware, and where they fit with other numerical representations.