Miracle-dz/UniFAR-FTUs huggingface dataset:
Simple Approach to Enhance Green Tea Epigallocatechin Gallate Stability in Aqueous Solutions and Bioavailability: Experimental and Theoretical Characterizations

Because of its antioxidant, antimutagenic, and anti-infectious properties, epigallocatechin gallate (EGCG) is the most interesting compound among the green tea catechins polyphenols. However, its health effects are inconclusive due to its very low bioavailability, largely due to a particular instability that does not allow EGCG to reach the potency required for clinical developments. Over the last decade, many efforts have been made to improve the stability and bioavailability of EGCG using complex delivery systems such as nanotechnology, but these efforts have not been successful and easy to translate to industrial use. To meet the needs of a large-scale clinical trial requiring EGCG in a concentrated solution to anticipate swallowing impairments, we developed an EGCG-based aqueous solution in the simplest way while trying to circumvent EGCG instability. The solution was thoroughly characterized to sort out the unexpected stability outcome by combining experimental (HPLC-UV-mass spectrometry and infrared spectroscopy) and computational (density functional theory) studies. Against all odds, the EGCG–sucrose complex under certain conditions may have prevented EGCG from degradation in aqueous media. Indeed, in agreement with the ICH guidelines, the formulated solution was shown to be stable up to at least 24 months under 2–8 °C and at ambient temperature. Furthermore, considerable improvement in bioavailability in rats, against EGCG powder formulated in hard-gel capsules, was shown after gavage. Thus, the proposed formulation may provide an easily implementable platform to administer EGCG in the context of clinical development.
TOWARDS DIAGRAM UNDERSTANDING: A PILOT STUDY MEASURING COGNITIVE WORKLOAD THROUGH EYE-TRACKING

We investigate model understanding, in particular, how the quality of the UML diagram layout impacts cognitive load. We hypothesize that this will have a significant impact on the structure and effectiveness of engineers’ communication. In previous work, we have studied task performance measurements and subjective assessments; here, we also investigate behavioral indicators such as fixation and pupillary dilation. We use such indicators to explore diagram understanding- and reading strategies and how such strategies are impacted, e.g. by diagram type and expertise level. In the pilot eye-tracking experiment run so far, we have only examined a small number of participants (n=4), so our results are preliminary in nature and do not afford far reaching conclusions. They do, however, corroborate findings from earlier experiments, for example, showing that layout quality indeed matters and improves understanding. Our results also give rise to a number of new hypotheses about diagram understanding strategies that we are investigating in an ongoing data acquisition campaign.
Acute Secondary Adrenal Insufficiency Misdiagnosed as Acute Cholecystitis

Hypopituitarism refers to insufficient secretion of the pituitary hormones. Patients with acute adrenocorticotropic hormone (ACTH) deficiency may be presented with fatigue, dizziness, orthostatic hypotension, hypoglycemia, nausea, vomiting, or nonspecific abdominal pain. This study described an unusual case of hypopituitarism in a patient who presented with general abdominal pain, abdominal tenderness, nausea, vomiting, hypotension, and hypoglycemia. At first, the patient was admitted with the diagnosis of acute cholecystitis, but after treatment of hypopituitarism and adrenal insufficiency, his symptoms resolved completely, without the need for surgery. Hypopituitarism and secondary adrenal insufficiency should be considered in the differential diagnosis of the patients who present with acute abdomen, hypotension, or hypoglycemia.
The Protective Effects of miR-21-Mediated Fibroblast Growth Factor 1 in Rats with Coronary Heart Disease

Aim The study is to verify the protective effects of miR-21-mediated fibroblast growth factor 1 (FGF1) against myocardial ischemia in rats with coronary heart disease. Materials and Methods Sprague-Dawley (SD) rat models of myocardial ischemia/reperfusion (MI/R) injury were constructed, and the expression of miR-21 and FGF1 in them was interfered through ischemic postconditioning. The protective effects of miR-21-mediated FGF1 on myocardium of the model rats were analyzed, and the targeted regulatory relationship between miR-21 and FGF1 was verified through myocardial cell experiments to find the mechanism of miR-21. Results MiR-21 and FGF1 with increased expression could protect the cardiac function of model rats and improve their diastolic blood pressure (DBP), systolic blood pressure (SBP), heart rate (HR), coronary flow (CF), bax, and bcl-2 levels, but it would also cause further increase of vascular endothelial growth factor (VEGF) and decreased infarct size (INF). In addition, intervention through both miR-21 mimics and recombinant human FGF1 could highlight the above changes. Pearson correlation analysis revealed that the expression of miR-21 was positively correlated with that of FGF1, and both miR-21 and FGF1 were significantly and linearly correlated with DBP, SBP, HR, CF, INF, bax, and bcl-2, but they were not significantly correlated with the VEGF level. The myocardial cell experiment results revealed that upregulation of miR-21 or FGF1 could alleviate apoptosis caused by hypoxia/reoxygenation of myocardial cells, and inhibition of the FGF1 expression could hinder the effect of miR-21 against apoptosis of myocardial cells. Dual luciferase reporter assay revealed that transfection of miR-21-mimics could effectively raise the fluorescence intensity of pmirGLO-FGF1-3′UTR Wt but had no significant effect on that of pmirGLO-FGF1-3′UTR Mut. Conclusion MiR-21 can specifically mediate the expression of FGF1 to relieve MI/R injury, protect the cardiac function, and resist apoptosis.
Barriers in Diabetes Self-management: A Qualitative Study from the Perspective of Nurses in Primary Health Centers, Indonesia

BACKGROUND: Nurses play an essential role, including being the main educator of diabetes mellitus (DM). It is necessary to reduce the barriers faced by nurses in managing patients’ self-management. AIM: The purpose of this study was to explore the barriers faced by nurses in managing the self-management of DM patients. METHODS: This research is a qualitative-research with a phenomenological approach. The recruitment of participants used a purposive sampling method, which was divided into two Focus Group Discussion (FGD) groups: the first group consisted of five nurses from the urban health center and the second group consisted of five nurses from the suburban area. The FGD was conducted twice for each group: 90 min for the first and 45 min for the second. The data were analyzed using Colaizzi’s method of data analysis. RESULTS: This study resulted in two themes, namely, internal barriers within the patient and external barriers outside the patient. The barriers from within the patient theme had five subthemes including (1) fear of being exposed to the disease and stigma associated with diabetes, (2) fear and distrust of health cadres, (3) low self-awareness and feeling healthy so not seeking treatment, (4) lack of responsibility for diabetes self-management practices, and (5) time issues. The second theme of barriers external to the patients included three subthemes that were (1) limited manpower, (2) limited facilities and funds, and (3) a lot of programs or activities. CONCLUSION: Nurses faced external barriers that arise from the puskesmas and internal barriers within the patient.
Simultaneous assessment of oxygen- and nitrate-based net community production in a temperate shelf sea from a single ocean glider

Abstract. The continental shelf seas are important at a global scale for ecosystem services. These highly dynamic regions are under a wide range of stresses, and as such future management requires appropriate monitoring measures. A key metric to understanding and predicting future change are the rates of biological production. We present here the use of an autonomous underwater glider with an oxygen (O2) and a wet-chemical microfluidic total oxidised nitrogen (NOx-=NO3-+NO2-) sensor during a spring bloom as part of a 2019 pilot autonomous shelf sea monitoring study. We find exceptionally high rates of net community production using both O2 and NOx- water column inventory changes, corrected for air–sea gas exchange in case of O2. We compare these rates with 2007 and 2008 mooring observations finding similar rates of NOx- consumption. With these complementary methods we determine the O2:N amount ratio of the newly produced organic matter (7.8 ± 0.4) and the overall O2:N ratio for the total water column (5.7 ± 0.4). The former is close to the canonical Redfield O2:N ratio of 8.6 ± 1.0, whereas the latter may be explained by a combination of new organic matter production and preferential remineralisation of more reduced organic matter at a higher O2:N ratio below the euphotic zone.
Modeling and Analysis of Body Potential of Cylindrical Gate-All-Around Nanowire Transistor

A new physically based classical model for the poten- tial distribution of an undoped body cylindrical gate-all-around nanowire transistor is proposed. The model is based on the analyt- ical solution of 2-D Poisson's equation in a cylindrical coordinate system and is valid for both 1) weak and strong inversion regimes, 2) long and short-channel transistors, and 3) body surfaces and centers. Using the proposed model, for the first time, it is demon- strated that the body potential versus gate voltage characteristics for the devices having equal channel lengths but different body radii pass through a single common point (termed a "crossover point"). It is found that, at this crossover point, there is no poten- tial drop ("pseudo flatband condition") along the radial direction. Using the concept of crossover point, the effect of body radius on the threshold voltage of undoped body multigate transistors is explained. Based on the proposed body potential model, a new compact model for the subthreshold swing is formulated. It is shown that for the devices having very high short-channel effects, the effective subthreshold slope factor is mainly dictated by the potential at the body center rather than that at the surface. All the models are validated against a professional numerical device simulator.
Utilization of Crushed Pavement Blocks in Concrete: Assessment of Functional Properties and Environmental Impacts

Production of concrete is connected to extensive energy demands, greenhouse gases production or primary sources depletion. Reflecting current economical, social, or environmental trends, there is strong pressure on mitigation these requirements and impacts. The exploitation of secondary- or waste materials in production processes has therefore a great potential which is not related solely to binders but also to fillers. In this light, this paper aims at thorough investigations of concrete mixtures with crushed concrete pavements as partial or full replacement of natural coarse aggregates. The research combines experimental techniques to quantify the influence of the substitution on basic physical, mechanical, and heat/moisture transport/storage parameters. The experimental data obtained are further exploited as input data for computational prediction of coupled heat and moisture transport to assess the influence of the aggregates substitution on hygrothermal performance of the built-in concretes. In the last step, the environmental impacts are assessed. Since the changes in the hygrothermal performance were found to be insignificant (i), the compressive strength were improved by up to 25% (ii) and most of the environmental impact indicators were decreased (iii) at the same time, the findings of the research presented predeterminate such a reuse strategy to wider application and use.
Efficient and Accurate Tightly-Coupled Visual-Lidar SLAM

We investigate a novel way to integrate visual SLAM and lidar SLAM. Instead of enhancing visual odometry via lidar depths or using visual odometry as the motion initial guess of lidar odometry, we propose tightly-coupled visual-lidar SLAM (TVL-SLAM), in which the visual and lidar frontend are run independently and which incorporates all of the visual and lidar measurements in the backend optimizations. To achieve large-scale bundle adjustments in TVL-SLAM, we focus on accurate and efficient lidar residual compression. The visual-lidar SLAM system implemented in this work is based on the open-source ORB-SLAM2 and a lidar SLAM method with average performance, whereas the resulting visual-lidar SLAM clearly outperforms existing visual/lidar SLAM approaches, achieving 0.52% error on KITTI training sequences and 0.56% error on testing sequences.
Analysis of permanent magnet linear motor parameters taking its heating into account

: The calculation results of the static field parameters for permanent magnet linear synchronous motor have been presented in this work. The influence of the construction temperature on the parameters has been analyzed mathematically. Models for magnetic and temperature fields determination have been formulated. Two kinds of permanent magnets (NdFeB and SmCo) have been considered. The distribution of the thermal field has been obtained using the finite element method (FEM).
Preparation and Properties of Carbon Nanotubes Reinforced Cu Matrix Composites for Electronic Packaging Application

Multi-walled carbon nanotube (MWCNT) reinforced copper nanocomposites were prepared using a unique spherical MWCNT-implanted copper composite powders. The MWCNTs are homogenously ‘locked’ in the composite and tightly bonded to the matrix, which makes them play excellent reinforcement role on the microhardness compared with the unreinforced pure copper. Although the thermal conductivity is not enhanced for the thermal resistance between the carbon nanotubes and the copper matrix; it is still high enough to be used as electronic packaging materials even the concentration of MWCNTS in the composite is up to 5 wt%. Furthermore, the thermal expansion of the composites decreased apparently with the addition of the carbon nanotubes.
Rbf Neural Networks for Function Approximation in Dynamic Modelling

Rbf Neural Networks for Function Approximation in Dynamic Modelling The paper demonstrates the comparison of Monte Carlo simulation algorithm with neural network enhancement in the reliability case study. With regard to process dynamics, we attempt to evaluate the tank system unreliability related to the initiative input parameters setting. The neural network is used in equation coefficients calculation, which is executed in each transient state. Due to the neural networks, for some of the initial component settings we can achieve the results of computation faster than in classical way of coefficients calculating and substituting into the equation. Sieci Neuronowe Radialnej Funkcji Bazowej (RBF) DLA Aproksymacji Funkcji W Modelowaniu Dynamicznym W artykule przedstawiono porównanie algorytmu symulacyjnego wykorzystującego metodę Monte Carlo względem rozszerzenia sieci neuronowych na przypadek badania niezawodności obiektów. W odniesieniu do dynamiki procesu, podjęliśmy próbę oceny niepewności (zawodności) układu zbiornika w zależności od początkowych ustawień parametrów wejściowych. Do wyznaczenia współczynników równań wykorzystywane są sieci neuronowe, a proces obliczeniowy jest wykonywany dla każdego stanu przejściowego (nieustalonego). Dzięki zastosowaniu sieci neuronowych, dla pewnych ustawień wartości początkowych jesteśmy w stanie otrzymać wyniki obliczeń szybciej, niż w przypadku zastosowania klasycznej metody wyliczenia współczynników i podstawienia ich do równania wyjściowego.
Substrate noise-coupling characterization and efficient suppression in CMOS technology

This brief investigates the substrate noise coupling using S-parameters measurement. Radio frequency domain analysis shows that the noise isolation is strongly dependent on layout geometry, including the parameters such as p-n junction, physical separation distance, guard ring (GR), and deep n-well (DNW). We found that the noise coupling can be efficiently diminished by incorporating GR and DNW structures.
The Relationship between Obligatory Exercise and Eating Attitudes, and the Mediating Role of Sociocultural Attitudes towards Appearance during the COVID-19 Pandemic

A strong sociocultural context could affect an individual’s aesthetic standards. In order to achieve a socially recognized ideal appearance, obligatory exercisers might increase dieting behavior when exercise actions are disturbed, thereby placing the individual at risk of eating disorders. The current study mainly examined the relationship between obligatory exercise and eating attitudes during the COVID-19 pandemic, and considered the mediating role of externalized sociocultural attitudes towards appearance between the two. A total of 342 participants (175 females, 167 males) from various regions of China were invited to fill out the questionnaires including the Obligatory Exercise Questionnaire, the Sociocultural Attitudes Toward Appearance Questionnaire-3, and the Eating Attitudes Test. In total, 51.5% of the participants presented symptoms of an obligatory exercise behavior. Among them, males, young adults, and the participants with lower BMI had higher OEQ scores, whereas females and young adults had higher EAT-26 scores. Meanwhile, 9.4% of the participants might have had an eating disorder. The OEQ score was positively correlated with the EAT-26 total score as well as SATAQ-3 ‘Pressures’ and ‘Information’ subscales. In addition, the EAT-26 total score was positively correlated with the SATAQ-3 ‘Pressures’ and ‘Information’ subscales. Externalized sociocultural attitudes towards appearance served as a mediator between obligatory exercise behavior and eating attitudes, and the mediation effect accounted for 56.82% of the total effect. Obligatory exercise behavior may have an indirect effect on eating attitudes through sociocultural attitudes towards appearance. Given the sociocultural information and pressures, in order to maintain or pursue an ideal appearance, many people tend to keep a pathological diet. Thus, forming a positive and healthy social aesthetic orientation is beneficial in helping obligatory exercisers to develop reasonable eating habits.
Application of Deep Learning Technology in Predicting the Risk of Inpatient Death in Intensive Care Unit

The Intensive Care Unit (ICU) is an important unit for the rescue of critically ill patients in hospitals, and patient mortality is an important indicator to measure the level of ICU treatment. Currently, a variety of clinical scoring systems are used to evaluate the patient's condition and predict survival, but these systems require a lot of resources. However, due to the rapid development of artificial intelligence and deep learning, machine learning based methods have been used to study the survival prediction of ICU patients. Additionally, these methods have made significant progress, but there is still a distance from clinical application, and equally metric interpretability of the deep learning method is not very mature. Therefore, in this paper, we have proposed a predicting model for the life and death of ICU patients, which is primarily based on the Fuzzy ARTMAP model. With a thorough analysis of the existing ICU patient condition assessment and life and death prediction methods, we have observed that patient's ICU monitoring information performs integrated analysis and extracts features according to the clinical characteristics of physiological indicators. Finally, fuzzy ARTMAP neural network is used to predict the life and death of patients. Likewise, prediction results are combined with the clinical scoring system and logistic regression, artificial neural network, support vector machine, and AdaBoost. Experimental results of these algorithms were compared, which verifies that the proposed method has outperformed the existing model. The main purpose of the proposed mode is to design a life and death prediction method for ICU patients, which has high predictive performance and is an acceptable method for clinical medical staff, where ICU monitoring data is used. Experimental results show that the method proposed has achieved better prediction performance and accuracy ratio, which provide theoretical reference for clinical application.
What is NORML? Sedimented Meanings in Ambiguous Organizational Identities

Organizational identity scholarship has largely focused on the mutability of meanings ascribed to ambiguous identity labels. In contrast, we analyze a case study of the National Organization for the Reform of Marijuana Laws (NORML) to explore how leaders maintained a meaning ascribed to an ambiguous identity label amid successive identity threats. We found that heightened dissensus surrounding meanings attributed to the organization’s “reform group” label at three key points spurred theoretically similar manifestations of two processes. The first, meaning sedimentation, involved leaders invoking history to advocate for the importance of their preferred meaning while mulling the inclusion of others. The second, reconstructing the past, occurred as leaders and members alike offered narratives that obscured the history of disavowed meanings while sharing new memories of those they prioritized. Our work complements research on identity change by drawing attention to the processes by which meaning(s) underlying ambiguous identity labels might survive.
A Novel Single DC Source Three-Phase Wye Packed U-Cell (Y-PUC) Converter

A new configuration of three-phase Wye Packed U-cells (Y-PUC) with a single DC source is proposed in this paper. In fact, this configuration represents a single DC source modular three-phase PUC converter. The DC source on PUC topology is replaced by a flying capacitor to obtain a suitable submodule. Moreover, the modularity of the Y-PUC configuration makes it an appropriate alternative for MMC applications. Furthermore, the proposed structure is an advantageous configuration for high voltage applications such as high voltage direct current (HVDC) transmission lines with the capability of DC fault handling. All PUC topologies such as PUC5, PUC7, PUC9, PUC15 can be replaced in the modules of this proposed single-phase and three-phase configuration to multiply the load voltage levels for improving the output waveform. Active voltage balancing technique through carrier-based modulation is applied. System modeling and operating sequences are developed. Simulation and experimental results are presented and discussed to validate the performance of the proposed structure.