Miracle-dz/UniFAR-FTUs huggingface dataset:
Why Use Adipose-Derived Mesenchymal Stem Cells in Tendinopathic Patients: A Systematic Review

The aim of the present systematic review was to provide a clear overview of the clinical current research progress in the use of adipose-derived mesenchymal stem cells (ASCs) as an effective therapeutic option for the management of tendinopathies, pathologies clinically characterized by persistent mechanical pain and structural alteration of the tendons. The review was carried out using three databases (Scopus, ISI Web of Science and PubMed) and analyzed records from 2013 to 2021. Only English-language papers describing the isolation and manipulation of adipose tissue as source of ASCs and presenting ASCs as treatment for clinical tendinopathies were included. Overall, seven clinical studies met the inclusion criteria and met the minimum quality inclusion threshold. Data extraction and quality assessment were performed by groups of three reviewers. The available evidence showed the efficacy and safety of ASCs treatment for tendinopathies, although it lacked a clear description of the biomolecular mechanisms underlying the beneficial properties of ASCs.
Efficacy of a Novel Therapeutic, Based on Natural Ingredients and Probiotics, in a Murine Model of Multiple Food Intolerance and Maldigestion

Patients with hypersensitive gut mucosa often suffer from food intolerances (FIs) associated with an inadequate gastrointestinal function that affects 15–20% of the population. Current treatments involve elimination diets, but require careful control, are difficult to maintain long-term, and diagnosis remains challenging. This study aims to evaluate the beneficial effects of a novel therapeutic of natural (NTN) origin containing food-grade polysaccharides, proteins, and grape seed extract to restore intestinal function in a murine model of fructose, carbohydrate, and fat intolerances. All experiments were conducted in four-week-old male CD1 mice. To induce FIs, mice were fed with either a high-carbohydrate diet (HCD), high-fat diet (HFD), or high-fructose diet (HFrD), respectively. After two weeks of treatment, several parameters and endpoints were evaluated such as food and water intake, body weight, histological score in several organs, gut permeability, intestinal epithelial integrity, and biochemical endpoints. Our results demonstrated that the therapeutic agent significantly restored gut barrier integrity and permeability compromised by every FIs induction. Restoration of intestinal function by NTN treatment has consequently improved tissue damage in several functional organs involved in the diagnostic of each intolerance such as the pancreas for HCD and liver for HFD and HFrD. Taken together, our results support NTN as a promising natural option in the non-pharmacological strategy for the recovery of intestinal dysregulation, supporting the well-being of the gastrointestinal tract.
Using BDI Agents in Flexible Patterns for Cyber-Attacks over Electrical Power Infrastructures

This work aims to assess how the infrastructure of production & transport of the electric energy can be annihilated in a nation-state through a cyber attack, as a particular form of manifestation of cybernetic warfare. In this study we consider that the purpose of the cyber attack is only to remove servers from service, logically or physically. There are several standards that integrate the business side of a company with the level of supervision of industrial infrastructure and with the level of control engineering. These levels are integrated and are using different protocols. To simulate cyber-attacks between the countries with flexible potential escalation there are used BDI (Belief-Desire-Intention) agents which allow to separate treatment of different types of attacks. Inspired by the study of nuclear attacks implemented using the game theory, the flexibility of the BDI paradigm increases research potential of decision trees using this type of agent in other areas of human existence, like modeling human behavior at policy states makers or cyberspace executive users.
A Personable Robot: Meta-Analysis of Robot Personality and Human Acceptance

For robots to be of use to humans, they first must be accepted. One important variable that might impact this acceptance is a robot’s personality. To date, results of studies examining robot personality have produced mixed results. One method of making sense of these results is meta-analysis. Therefore, to examine the potential relationship between robot personality and human acceptance, the authors conducted a review of the human-robot interaction literature and leveraged this review for use in a comprehensive meta-analysis. In doing so, this study contributes to the literature in three ways. First, this study found that a robot’s personality does appear to influence humans’ acceptance of robots. Second, this letter provides an introduction to meta-analysis and detailed methodology that can be applied by other researchers. Third, it identifies gaps within the existing literature and presents opportunities for future research.
Probability-Density-Dependent Load Frequency Control of Power Systems With Random Delays and Cyber-Attacks via Circuital Implementation

This paper studies the decentralized <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> secure load frequency control issue and circuital realization of multi-area networked power systems subject to random transmission delays and deception attacks. To make full use of the stochastic feature of the network-induced transmission delay, its distribution described by the probability density function is utilized. Due to this feature, the normal control signal and the injected deceptive attack signal transmitted over the network can be formed as two distributed delay terms. Then, the <inline-formula> <tex-math notation="LaTeX">$i$ </tex-math></inline-formula>th load frequency control area is established as a new distributed delay system, in which the delay probability density is treated as the distributed kernel. By utilizing an integral inequality dependent on the kernel, new sufficient controller design conditions are derived to guarantee the system stability with given <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance. Moreover, a physical execution approach is addressed to transfer the load frequency control systems into electrical analogy circuits. The effectiveness of the proposed approach is illustrated via the professional simcape toolbox in Simulink/MATLAB for circuit simulations.
Theoretical analysis of R1234ze(E), R152a, and R1234ze(E)/R152a mixtures as replacements of R134a in vapor compression system

In this article, R1234ze(E), R152a, and three mixtures M1, M2, and M3 composed of R152a and R1234ze(E) (in the ratio of 60:40, 50:50, and 40:60, by mass, respectively) as drop-in replacements of R134a in vapor compression system were theoretically analyzed. The performance of the vapor compression system was compared in terms of compressor discharge temperature, volumetric cooling capacity, cooling capacity, compressor power consumption, and coefficient of performance. The results showed that R152a had better coefficient of performance as well as nearly equal volumetric cooling capacity and cooling capacity compared to R134a; however, flammable R152a running with high compressor discharge temperature was restricted. Cooling capacity of R1234ze(E) was far lower than that of R134a. M2 was selected as the best alternative for R134a. Volumetric cooling capacity of M2 and R134a was similar so that M2 can be used in R134a vapor compressor system without modifying compressor. Coefficient of performance of M2 was higher than that of R134a by about 3% with 7% lower cooling capacity and 10% lower compressor power consumption. Compressor discharge temperature of M2 was higher than that of R134a by about 2°C–5°C. It was concluded that M2 can primely be an energy conservation and environmental protection alternative to R134a in vapor compression system.
Miyaguchi–Preneel Snefru Cryptographic Blockchain and Maximum Likelihood Consensus Deep Convolutional Q-Learning for Secure Data Access in E-Learning

E-learning is a novel perception that includes all educational activities of an individual or group working online, synchronously or asynchronously, connecting via various devices through the internet. The e-learning system has faced some concerns related to security, availability and reliability. To overcome these challenges, an important security approach is required to preserve the data of the e-learning system. A novel Miyaguchi–Preneel Snefru Cryptographic Blockchain and Maximum Likelihood Consensus Deep Convolutional Q-Learning Network (MPSCB-MLCDCQN) is introduced with three different processes namely data collection, access control and data analysis. In the proposed MPSCB-MLCDCQN, Internet of Things (IoT) devices are employed to sense and collect student activities during the e-learning process. Secondly, secure data access is performed through the Miyaguchi–Preneel Snefru hashes decentralized blockchain technology for avoiding unauthorized access. Finally, the Maximum Likelihood Consensus Deep Convolutional Q-Learning Network (MLCDCQN) is applied to analyze the student data collected from the IoT devices to make optimal action. The student data are analyzed using the Maximum Likelihood Consensus regression function by learning the features of input data and predicting the student performance behavior with higher accuracy. A comprehensive experiment of the proposed MPSCB-MLCDCQN is conducted using e-learning activities' dataset in a CloudSim simulator with certain performance metrics such as confidentiality rate, data integrity rate, processing time and prediction accuracy with respect to a number of student data. The results discussed show that the MPSCB-MLCDCQN technique provides improved performance in terms of achieving higher security and data analysis than the existing methods.
The Kynurenine Pathway in Obese Middle-Aged Women with Normoglycemia and Type 2 Diabetes

We examined the relationships of tryptophan (Trp) and the metabolites of the kynurenine pathway (KP) to the occurrence of type 2 diabetes (T2D) and metabolic risk factors in obese middle-aged women. The study included 128 obese women divided into two subgroups: a normoglycemic group (NG, n = 65) and a T2D group (n = 63). The concentrations of serum tryptophan (Trp), kynurenine (Kyn), 3-hydroxykynurenine (3HKyn), quinolinic acid (QA), and kynurenic acid (Kyna) were analyzed using ultra-high-performance liquid chromatography coupled with electrospray ionization/triple quadrupole mass spectrometry. Blood biochemical parameters and anthropometric parameters were measured. The women with T2D had significantly higher Trp, Kyna, Kyna/QA ratio, and Kyna/3HKyn ratio values than the NG women. Logistic regression analysis showed that the concentrations of Trp and Kyna and the values of the Kyna/3HKyn ratio were most strongly associated with T2D occurrence, even after controlling for confounding factors. The model with Trp level and Kyna/3HKyn ratio accounted for 20% of the variation in the presence of T2D. We also showed a different pattern of correlations between kynurenines and metabolic factors in the NG and T2D women, which was mostly reflected in the stronger relationship between BMI and KP metabolites in the NG obese women. An increase in Trp and Kyna levels with an accompanying increase in Kyna/3HKyn ratio value is associated with the occurrence of T2D in obese middle-aged women.
Proanthocyanidins Restore the Metabolic Diurnal Rhythm of Subcutaneous White Adipose Tissue According to Time-Of-Day Consumption

Consumption of grape seed proanthocyanidin extract (GSPE) has beneficial effects on the functionality of white adipose tissue (WAT). However, although WAT metabolism shows a clear diurnal rhythm, whether GSPE consumption could affect WAT rhythmicity in a time-dependent manner has not been studied. Ninety-six male Fischer rats were fed standard (STD, two groups) or cafeteria (CAF, four groups) diet for 9 weeks (n = 16 each group). From week 6 on, CAF diet animals were supplemented with vehicle or 25 mg GSPE/kg of body weight either at the beginning of the light/rest phase (ZT0) or at the beginning of the dark/active phase (ZT12). The two STD groups were also supplemented with vehicle at ZT0 or ZT12. In week 9, animals were sacrificed at 6 h intervals (n = 4) to analyze the diurnal rhythms of subcutaneous WAT metabolites by nuclear magnetic resonance spectrometry. A total of 45 metabolites were detected, 19 of which presented diurnal rhythms in the STD groups. Although most metabolites became arrhythmic under CAF diet, GSPE consumption at ZT12, but not at ZT0, restored the rhythmicity of 12 metabolites including compounds involved in alanine, aspartate, and glutamate metabolism. These results demonstrate that timed GSPE supplementation may restore, at least partially, the functional dynamics of WAT when it is consumed at the beginning of the active phase. This study opens an innovative strategy for time-dependent polyphenol treatment in obesity and metabolic diseases.
MEDICAL STUDENTS IN THE FACE OF THE SARS-CoV-2 PANDEMIC: AN ESTIMATED RISK OF INFECTION AND THE NEED FOR SOCIAL SUPPORT

Objectives: A pandemic triggers certain attitudes and behaviors, resulting in the need for adequate social support. The aim of the study was to determine the factors influencing the estimated risk of SARS-CoV-2 infection and to assess the need for social support in a group of medical students. Material and Methods: The survey was conducted among 981 people, including 814 women and 167 men. For this purpose, a self-assessment survey with 22 multiple-choice questions was used. The online survey was conducted on March 20–April 2, 2020, which can be considered as the first stage of the pandemic in Poland. Results: The tested model for the subjective SARS-CoV-2 infection risk assessment explained 32.6% of the dependent variable variance (F(7.945) = 66.61, p < 0.001). The model for adherence to the recommendations for reducing the risk of SARS-CoV-2 transmission explained 9.5% of the variability (F(8.943) = 12.39, p < 0.001), and the model for an increased need for social support due to the SARS-CoV-2 epidemic explained 27.4% of the variability (χ2(8) = 12.17, p = 0.144). Conclusions: Factors important for estimating the risk of SARS-CoV-2 infection and the need for social support in the group of medical students were determined. The subjective assessment of the stress level, infection symptoms experienced and the field of study proved to be crucial.
The influence of stress wave phenomena during statnamic load testing

Because of its advantages compared to static and dynamic load testing, especially for bored piles, the application of Statnamic load testing has increased considerably. The Unloading Point Method (UPM) has become a standard tool for the analysis of Stat-namic (STN) load testing signals. The method is based on the assumption that the pile can be modelled as a concentrated mass and springs. Modelling is only valid when stress waves phenomena are minimal. In case of long piles or short duration STN testing, stress wave phenomena are not negligible. The sensitivity of STN to stress wave phenomena can be characterised by the wave number which is determined by the duration of the STN load, the stress wave velocity and the pile length. With the stress wave program TNOWAVE simulations have been made for piles with the same ulti-mate capacity but different wave numbers. Conclusions are drawn from these results as to what wave number UPM can be applied reliably to predict ultimate load capacity. Some measures to correct for stress wave phenomena, when they occur, are discussed
Correlation of HCD and Percolation Paths in FinFETs: Study of RDF and MGG Impacts Through 3-D Particle-Based Simulation

The correlation between percolation paths and hot-carrier degradation (HCD) in FinFETs is first presented in this work. Metal grain granularity (MGG) and random dopants (RD) influence on percolation paths is explored, and the conclusions are expanded to any source of potential fluctuations. All the analyses are performed using a 3-D TCAD Monte Carlo device simulator, in which carrier-ion and carrier-carrier interactions are treated in real-space, including the individual impact of localized charges. The carriers’ energy bidimensional probability distribution is shown to follow the percolation paths for carriers with both low and high energy, the former being more pronounced near the source and the latter concentrated on the drain end. This suggests that HCD is more pronounced on the regions in the vicinity of percolation paths. Trapped charge’s impact is also shown to be more significant when the trap is located near percolation paths, reinforcing the impact of hot carrier degradation. The analysis performed in this work may be used as the basis of a comprehensive HCD model, which is imperative for state-of-the-art FinFETs.
Relationship between implicit and explicit attitudes towards domestic and foreign food brands and personality traits

The most important line of the research is the relationship of implicit and explicit attitudes towards domestic and foreign food brands with personality traits. Although researchers confirm the relevance of these studies, there are relatively few empirical findings on the relationship of “Big Five” personality traits with consumer attitudes. Research aim: to study the relationship of implicit and explicit attitudes towards brands of domestic and foreign food products with the personality traits of consumers. Participants N = 131, aged 17-57 ( Mdn = 31). Measurements: developed by the authors affective and cognitive Implicit Association Tests (IATs), Self-Concept IAT, affective and cognitive explicit procedures; and “Big Five” Inventory – 2 (BFI-2); demographic questionnaires. With the help of factor analysis, independent overall implicit and “overall” explicit attitudes towards food brands were built, the main components of which are both their affective and cognitive foundations, and attitudes measured using the Self-Concept IAT. Relationships between “overall” attitudes, their components with BFI-2 scales and their facets have been revealed. Personality traits and their combinations with facets have been revealed that influence implicit, explicit preferences for domestic, foreign food brands and “uncertain” (ambivalent or unexpressed) preferences. Differences in the role of personality traits in the choice of cognitive and affective bases of both implicit and explicit attitudes have been found, which sometimes lead to opposite results.
The pH-Responsive Liposomes—The Effect of PEGylation on Release Kinetics and Cellular Uptake in Glioblastoma Cells

Nanomedicine has been, to a certain degree, a success story in the development of superior anticancer therapies. However, there are tumors that remain a huge challenge for nanoformulations, for instance, brain tumors such as glioblastoma, the most common and aggressive brain tumor. To utilize the fact that such tumors are characterized by an acidic extracellular environment, we selected pH-responsive liposomes as a potential drug delivery system for superior delivery to GBM. Liposomes comprising PEGylated lipid of two chain lengths with encapsulated fluorescent marker calcein were characterized and challenged against non-PEGylated vesicles. The in vitro calcein release from three liposomal formulations (<200 nm), namely non-PEGylated (pH-Lip) and PEGylated, pH-Lip–PEG750, and pH-Lip–PEG2000, was followed at three pH conditions to prove the pH-responsiveness. The intracellular delivery of a liposomally encapsulated marker was determined in GL261 glioblastoma cell lines in vitro using both flow cytometry and confocal microscopy. The inclusion of PEG2000 within liposomal formulation resulted in reduced in vitro pH-responsiveness compared to pH-Lip and pH-Lip750. All three pH-responsive liposomal formulations improved intracellular uptake in GL261 cells compared to non-pH-responsive liposomes, with negligible differences regarding PEG length. The proposed formulations should be further evaluated in glioblastoma models.
Growth of T-cell lymphoma cells is inhibited by mPGES-1/PGE2 suppression via JAK/STAT, TGF-β/Smad3 and PI3K/AKT signal pathways

Background T-cell lymphoma (TCL) has a very poor prognosis with limited treatment options and novel therapeutic target is urgently needed. Our previous studies have found that suppression of membrane-bound prostaglandin E2 synthase l/prostaglandin E2 (mPGES-1/PGE2) exerted anti-neoplastic effects in leukemia cells by suppressing AKT signal pathway. Here, we aim at evaluating the role and mechanism of mPGES-1/PGE2 signaling in TCL. Methods Expression of mPGES-1 in TCL cell line Hut78 was analyzed by Western blot and immunofluorescence. CAY10526, a selective mPGES-1 inhibitor, was used to treat Hut 78 cells. Cell viability assays was performed by using cell counting kit-8 (CCK-8). Cell apoptosis rate was examined by flow cytometer. PGE2 synthesis was detected by enzyme immunoassay (EIA). The expression of mPGES-1, cleaved caspase-3, Janus kinase/signal transduction and transcription (JAK/STAT), transforming growth factor-β (TGF-β)/Smad3 and phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) signaling pathway of Hut 78 cells after exposed to CAY10526 was analyzed by Western blot. Results mPGES-1 was highly expressed in Hut78 cell compared to normal peripheral blood mono-nuclear cells. CAY10526 inhibited cell proliferation and induced apoptosis in Hut78 cells. These effects may be partially attributed to the activation of the Caspase family and the inhibition of JAK/STAT, TGF-β/Smad3 and PI3K/AKT signal pathways. Conclusions Our results suggested that mPGES-1/PGE2 could be a potential therapeutic target for TCL.
Bearing Capacity of Piles in Cohesionless Soils

A method of computing the ultimate bearing capacity of a pile driven into cohesionless soils is derived empirically from a large number of load-test programs, wherein each program involves various types of piles all loaded to failure. Although the curve fitting aspect of the solution is empirical, the form of the solution is based on theoretical considerations. Consideration of such factors as pile taper, roughness and shape of the pile surface and volume of the pile, as well as those factors normally considered, differentiates this method from attempts along similar lines. A comparison of computed and observed ultimate bearing capacities reveals good agreement. The method of computation checked with some load tests reported elsewhere shows good correlation. Variations in the factors pile taper, roughness of pile surface, and volume of pile cause significant variations in the ultimate bearing capacity of a pile. For economical design of pile foundations, such factors should be considered.
Exploring Key Factors Determining US Consumer Preferences for Growing over Buying Fruit in Pre-Covidian and Covidian Times

: This study provides insights for managers in the food retail sector, the horticultural industry, actors involved in community gardening and farmers’ markets. It proposes a model that investigates key factors determining US consumer preferences for growing fruit over buying it in pre-Covidian and Covidian times. For this purpose, an online survey with a sample of 383 US residents was conducted. Partial least squares structural equation modelling shows that subjective knowledge about fruit and the perceived impact of COVID-19 are the most important drivers of preferences for growing over buying in Covidian times. The impact of COVID-19 had no relevance for the pre-Covidian times. For both scenarios, only age and gender as socio-demographic factors were found to inﬂuence subjective knowledge and the perceived impact of COVID-19. Other sociodemographic factors were not found to have any impact.