Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling Methods for Viscoelastic Constitutive Modelling of Paper

Successful management of the runnability of a paper web is critical for both printing houses and paper suppliers. The production rate and quality depends on the runnability of the paper web. In a printing press as well as at paper mills the paper web is subjected to different types of loading conditions. In order to analyze the influence of these loading conditions on the mechanical behaviour of the web, a realistic rheological model of paper is needed. Considering the timeand rate-dependent nature of paper and paper making processes, a natural basis for a paper web analysis would be a viscoelastic material model. For modelling the behaviour of materials reliably, the material functions or parameters must be accurately determined in the range over which the model is employed. For viscoelastic materials the model must be valid in the time range of its application. For runnability applications the time range is short. A material particle of a moving paper web can pass through a single draw in a fraction of a second and through the whole paper machine in a few seconds. Thus, it is important that the model is accurate in short time ranges. However, typical viscoelastic tests have difficulties in providing adequate response function data in short time ranges. The objective of this thesis is to develop efficient parameter estimation methods which can be applied in the determination of viscoelastic models of paper. More specifically, an estimation of viscoelastic material functions from ramp-type tests is considered. In addition, direct estimation methods which enable estimating material functions from a single experiment under an arbitrary input are also derived and analyzed. Furthermore, a comparison is made of the performance of different time integrators of a linear viscoelastic model which may be needed when deterministic material parameter estimation methods are used or when a viscoelastic material model of paper is implemented in a commercial finite element code. PACS Classification: 62.20. -x, 83.60. Bc, 83.60. Df, 83.85. Ns, 83.80. Mc Universal Decimal Classification: 676.017, 676.017. 73, 532.135, 519.6 INSPEC Thesaurus: paper; paper making; mechanical properties; modelling; rheology; viscoelasticity; creep; relaxation; parameter estimation; numerical analysis
Development of a stable single-vial liposomal formulation for vincristine

Background: Vincristine is a potent therapeutic agent with well-defined activity against hematologic malignancies and solid tumors. It is a cell-cycle specific drug with concentration and exposure duration dependent activity. When used by liposomal delivery, it exhibits enhanced anti-tumor activity. However, vincristine liposome formulation in the clinic is supplied as a 3-vial-kit due to lacking sufficient stability. So it has to be prepared in situ prior to use through a multi-step process. Purpose: The purpose here is to develop a more stable and ready-to-use liposomal formulation for vincritstine in one vial. Patients and methods: A series of preparations were investigated based on sphingomyelin/cholesterol/PEG2000-DSPE lipid composition, with different drug/lipid (D/L) ratios (1/10, 1/5, 1/2), using an active sucrose octasulfate triethylamine salt gradient loading method. In this work, compared to generic vincristine sulfate liposome injection (GVM), the stability both in vivo and in vitro and efficacy in vivo of novel vincristine liposomes were investigated. Results: It was shown that the degradation of vincristine during 2–8°C storage was significantly decreased from 8.2% in 1 month (GVM) to 2.9% in 12 months (D/L ratio 1/5). The half-time for sphingomyelin/cholesterol/PEG2000-DSPE liposomes in vivo could be adjusted from 17.4 h (D/L ratio 1/10) to 22.7 h (D/L ratio 1/2) in rats, while the half-time for GVM was only 11.1 h. The increase in drug retention contributed to the lower in vivo toxicity. The antitumor efficacy was evaluated using a human melanoma tumor model and showed remarkable improvement compared to GVM. Conclusion: The study demonstrates that the new formulation with the drug/lipid ratio of 1/5 owns a higher encapsulation efficiency, better stability, lower toxicity and superior antitumor efficacy, which is screened out for further development.
Explaining professionalism in moral reasoning: a qualitative study

Purpose Professionalism is one of the most fundamental elements in judgment and moral reasoning and also an essential skill accompanied by other technical and scientific skills in the medical staff. Awareness of ethical aspects involves the clinical decision-making for patients. Therefore, this study aimed at explaining the role of professionalism in moral reasoning. Patients and methods This qualitative study was conducted on 17 faculty members and clinical students of medicine department. The participants were selected through purposive sampling method, and the data were collected via semistructured interviews after getting informed consent. Then, data were analyzed using conventional content analysis method. Results Three main categories and eleven subcategories were classified as follows: professionalism principles with four subscales such as communication with patients, trust building, satisfying the patients, and moralism; professional responsibility with four subscales such as fulfillment of duties, commitment to professional rules, maintaining professional position, and dignity of the patient; professional evidence with three subscales based on data analysis such as patient’s participation in decision-making, personal and other’s experiences, and professional knowledge. Conclusion Training qualified people in medicine is one of the important missions of the professors. Improving the professionalism in students enables them in moral reasoning. Training professional principles, responsibility, and using professional evidence are the strategies used for job commitment in moral reasoning, and emphasis on how to train medical ethics will support graduates.
“Tea” time? Cannabis legalization in Canada

33 This open-access article is distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC) (http:// creativecommons.org/licenses/by-nc/4.0/), which permits reuse, distribution and reproduction of the article, provided that the original work is properly cited and the reuse is restricted to noncommercial purposes. For commercial reuse, contact editor@csrt.com Correspondence: Justin Sorge, Research Associate, Canadian Institute of Substance Use Research, University of Victoria, Victoria, BC, Canada. E-mail: editorinchief@csrt.com MESSAGE FROM THE EDITOR-IN-CHIEF
High-frequency oscillatory ventilation: A narrative review

High-frequency oscillatory ventilation (HFOV) is a lung-protective strategy that can be utilized in the full spectrum of patient populations ranging from neonatal to adults with acute lung injury. HFOV is often utilized as a rescue strategy when conventional mechanical ventilation (CV) has failed. HFOV uses low tidal volumes and constant mean airway pressures in conjunction with high respiratory rates to provide beneficial effects on oxygenation and ventilation, while eliminating the traumatic “inflate–deflate” cycle imposed by CV. Although statistical evidence supporting HFOV is particularly low, potential benefits for its application in many clinical manifestations still remain. High-frequency oscillation is a safe and effective rescue mode of ventilation for the treatment of acute respiratory distress syndrome (ARDS). All patients who have ventilator-induced lung injury (VILI) or are at risk of developing VILI or ARDS would be suitable candidates for HFOV, especially those who have failed conventional mechanical ventilation. This narrative aims to provide a review of HFOV vis-à-vis its indications, contraindications, hazards, parameters to monitoring, patient selection, clinical goals, mechanisms of action, controls for optimizing ventilation and oxygenation, clinical application in ARDS, and a comparison with other modes of mechanical ventilation.
The Effectiveness of Computer Applications

AbstractA meta-analysis of 36 independent studies showed that computer applications have a positive effect on students’ academic achievement from elementary school to college. The average effect size from 151 comparisons was . 38; this indicates that use of computer applications raised students’ examination scores by . 38 standard deviation. Effects differed as a function of the computer study feature. Effect sizes were higher in studies that used Logo programming language, when different teachers taught the experimental and the control group, when treatment was applied in a period of one to two months, and when subjects were selected from high schools.
Brief Review on Scalar Field Dark Matter Models

The existence of dark matter in the Universe has been solidly established in the last decades, after the arrival of accurate cosmological and astrophysical observations, and some consider it the most challenging problem in modern physics. Given the magnitude of the problem, one cannot discard the existence of new particles with properties that may look exotic in comparison with our current understanding of ordinary matter. This is the case for the so-called scalar field dark matter model, which assumes the existence of a (probably fundamental) scalar field with a very tiny mass that can have observable consequences in the formation of cosmological structure. We present here a brief account of the main properties of an ultra-light scalar field (with masses of the order of $10^{-22} \, \mathrm{eV}/c^2$) and how different observations have been used in the last two decades to put constraints on its physical parameters. Among other topics, we review the cosmological solutions of the model, discuss the features of its self-gravitating equilibrium configurations, revisit the gravitational collapse for the formation of galaxies, and revise the possibility to find a soliton structure in the center of dark matter halos.
Sex Differences in Morphological and Functional Aspects of Exercise-Induced Cardiac Hypertrophy in a Rat Model

Background: Recent evidences suggest that sex hormones may be involved in the regulation of exercise-induced left ventricular (LV) hypertrophy. However, the sex-specific functional consequences of exercise-induced myocardial hypertrophy is still not investigated in detail. We aimed at understanding the sex-specific functional and morphological alterations in the LV and the underlying molecular changes in a rat model of athlete’s heart. Methods: We divided our young, adult male and female rats into control and exercised groups. Athlete’s heart was induced by a 12-week long swim training. Following the training period, we assessed LV hypertrophy with echocardiography, while pressure-volume analysis was performed to investigate in vivo LV function. After in vivo experiments, molecular biological studies and histological investigations were performed. Results: Echocardiography and post-mortem measured heart weight data indicated LV hypertrophy in both genders, nevertheless it was more pronounced in females. Despite the more significant relative hypertrophy in females, characteristic functional parameters did not show notable differences between the genders. LV pressure-volume analysis showed increased stroke volume, improved contractility and stroke work and unaltered LV stiffness in both male and female exercised rats, while active relaxation was ameliorated solely in male animals. The induction of Akt signaling was more significant in females compared to males. There was also a characteristic difference in the mitogen-activated protein kinase pathway as suppressed phosphorylation of p44/42 MAPK (Erk) and mTOR was observed in female exercised rats, but not in male ones. Myosin heavy chain α (MHC)/β-MHC ratio did not differ in males, but increased markedly in females. Conclusion: Our results confirm that there is a more pronounced exercise-induced LV hypertrophy in females as compared to the males, however, there are only minor differences regarding LV function. There are characteristic molecular differences between male and female animals, that can explain different degrees of LV hypertrophy.
Arboviruses and the Challenge to Establish Systemic and Persistent Infections in Competent Mosquito Vectors: The Interaction With the RNAi Mechanism

Arboviruses are capable to establish long-term persistent infections in mosquitoes that do not affect significantly the physiology of the insect vectors. Arbovirus infections are controlled by the RNAi machinery via the production of viral siRNAs and the formation of RISC complexes targeting viral genomes and mRNAs. Engineered arboviruses that contain cellular gene sequences can therefore be transformed to “viral silencing vectors” for studies of gene function in reverse genetics approaches. More specifically, “ideal” viral silencing vectors must be competent to induce robust RNAi effects while other interactions with the host immune system should be kept at a minimum to reduce non-specific effects. Because of their inconspicuous nature, arboviruses may approach the “ideal” viral silencing vectors in insects and it is therefore worthwhile to study the mechanisms by which the interactions with the RNAi machinery occur. In this review, an analysis is presented of the antiviral RNAi response in mosquito vectors with respect to the major types of arboviruses (alphaviruses, flaviviruses, bunyaviruses, and others). With respect to antiviral defense, the exo-RNAi pathway constitutes the major mechanism while the contribution of both miRNAs and viral piRNAs remains a contentious issue. However, additional mechanisms exist in mosquitoes that are capable to enhance or restrict the efficiency of viral silencing vectors such as the amplification of RNAi effects by DNA forms, the existence of incorporated viral elements in the genome and the induction of a non-specific systemic response by Dicer-2. Of significance is the observation that no major “viral suppressors of RNAi” (VSRs) seem to be encoded by arboviral genomes, indicating that relatively tight control of the activity of the RNA-dependent RNA polymerase (RdRp) may be sufficient to maintain the persistent character of arbovirus infections. Major strategies for improvement of viral silencing vectors therefore are proposed to involve engineering of VSRs and modifying of the properties of the RdRp. Because of safety issues (pathogen status), however, arbovirus-based silencing vectors are not well suited for practical applications, such as RNAi-based mosquito control. In that case, related mosquito-specific viruses that also establish persistent infections and may cause similar RNAi responses may represent a valuable alternative solution.
Modeling Mammalian Commitment to the Neural Lineage Using Embryos and Embryonic Stem Cells

Early mammalian embryogenesis relies on a large range of cellular and molecular mechanisms to guide cell fate. In this highly complex interacting system, molecular circuitry tightly controls emergent properties, including cell differentiation, proliferation, morphology, migration, and communication. These molecular circuits include those responsible for the control of gene and protein expression, as well as metabolism and epigenetics. Due to the complexity of this circuitry and the relative inaccessibility of the mammalian embryo in utero, mammalian neural commitment remains one of the most challenging and poorly understood areas of developmental biology. In order to generate the nervous system, the embryo first produces two pluripotent populations, the inner cell mass and then the primitive ectoderm. The latter is the cellular substrate for gastrulation from which the three multipotent germ layers form. The germ layer definitive ectoderm, in turn, is the substrate for multipotent neurectoderm (neural plate and neural tube) formation, representing the first morphological signs of nervous system development. Subsequent patterning of the neural tube is then responsible for the formation of most of the central and peripheral nervous systems. While a large number of studies have assessed how a competent neurectoderm produces mature neural cells, less is known about the molecular signatures of definitive ectoderm and neurectoderm and the key molecular mechanisms driving their formation. Using pluripotent stem cells as a model, we will discuss the current understanding of how the pluripotent inner cell mass transitions to pluripotent primitive ectoderm and sequentially to the multipotent definitive ectoderm and neurectoderm. We will focus on the integration of cell signaling, gene activation, and epigenetic control that govern these developmental steps, and provide insight into the novel growth factor-like role that specific amino acids, such as L-proline, play in this process.
Hippocampal Volume as a Putative Marker of Resilience or Compensation to Minor Depressive Symptoms in a Nonclinical Sample

Case-control studies in major depression have established patterns of regional gray matter loss, including the hippocampus, which might show state-related effects dependent on disease stage. However, there is still limited knowledge on compensation effects that might occur in people resilient to depression showing only subclinical symptoms. We used voxel-based morphometry on a multicenter data set of 409 healthy nonclinical subjects to test the hypothesis that local hippocampal volume would be inversely correlated with subclinical depressive symptoms [Symptom Checklist 90-Revised (SCL-90-R) depression scores]. Our region-of-interest results show a significant (p = 0.042, FWE cluster-level corrected) positive correlation of SCL-90-R scores for depression and a left hippocampus cluster. Additionally, we provide an exploratory finding of gyrification, a surface-based morphometric marker, correlating with a right postcentral gyrus cluster [p = 0.031, family-wise error (FWE) cluster-level corrected]. Our findings provide first preliminary evidence of an inverse relationship for subjects in the absence of clinical depression and might thus point to processes related to compensation. Similar effects have been observed in remission from major depression and thus deserve further study to evaluate hippocampal volume not only as a state-dependent marker of disease but also of resilience.
Assessment and Comparison of Molecular Subtyping and Characterization Methods for Salmonella

The food industry is facing a major transition regarding methods for confirmation, characterization, and subtyping of Salmonella. Whole-genome sequencing (WGS) is rapidly becoming both the method of choice and the gold standard for Salmonella subtyping; however, routine use of WGS by the food industry is often not feasible due to cost constraints or the need for rapid results. To facilitate selection of subtyping methods by the food industry, we present: (i) a comparison between classical serotyping and selected widely used molecular-based subtyping methods including pulsed-field gel electrophoresis, multilocus sequence typing, and WGS (including WGS-based serovar prediction) and (ii) a scoring system to evaluate and compare Salmonella subtyping assays. This literature-based assessment supports the superior discriminatory power of WGS for source tracking and root cause elimination in food safety incident; however, circumstances in which use of other subtyping methods may be warranted were also identified. This review provides practical guidance for the food industry and presents a starting point for further comparative evaluation of Salmonella characterization and subtyping methods.
Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed

One of the main goals of the COCO platform is to produce, collect, and make available benchmarking performance data sets of optimization algorithms and, more concretely, algorithm implementations. For the recently proposed biobjective bbob-biobj test suite, less than 20 algorithms have been benchmarked so far but many more are available to the public. We therefore aim in this paper to benchmark several available multiobjective optimization algorithms on the bbob-biobj test suite and discuss their performance. We focus here on algorithms implemented in the platypus framework (in Python) whose main advantage is its ease of use without the need to set up many algorithm parameters.
Automatic configuration of NSGA-II with jMetal and irace

jMetal is a Java-based framework for multi-objective optimization with metaheuristics providing, among other features, a wide set of algorithms that are representative of the state-of-the-art. Although it has become a widely used tool in the area, it lacks support for automatic tuning of algorithm parameter settings, which can prevent obtaining accurate Pareto front approximations, especially for inexperienced users. In this paper, we present a first approach to combine jMetal and irace, a package for automatic algorithm configuration; the NSGA-II is chosen as the target algorithm to be tuned. The goal is to facilitate the combined use of both tools to jMetal users to avoid wasting time in adjusting manually the parameters of the algorithms. Our proposal involves the definition of a new algorithm template for evolutionary algorithms, which allows the flexible composition of multi-objective evolutionary algorithms from a set of configurable components, as well as the generation of configuration files for adjusting the algorithm parameters with irace. To validate our approach, NSGA-II is tuned with a benchmark problems and compared with the same algorithm using standard settings, resulting in a new variant that shows a competitive behavior.
Computer response to user frustration

Use of computer technology often has unpleasant side effects, some of which are strong, negative emotional states that arise in humans during interaction with computers. Frustration, confusion, anger, anxiety and similar emotional states can affect not only the interaction itself, but also productivity, learning, social relationships, and overall well-being. This thesis presents the idea of designing human-computer interaction systems to actively support human users in their ability to regulate, manage, and recover from their own negative emotional states, particularly frustration. This document describes traditional theoretical strategies for emotion regulation, the design of a human-computer interaction agent built by the author to actively help relieve frustration, and an evaluation that shows the effectiveness of the agent. A study designed to test this agent was conducted: A system was built that elicits frustration in human subjects. The interaction agent then initiated several social, emotional-content feedback strategies with some of the subjects, in an effort to help relieve their emotional state. These strategies were designed to provide many of the same cues that skilled, human listeners employ when helping relieve strong, negative emotions in others. Two control groups were exposed to the same frustrating stimuli, one of which was given no emotional support at all; the other enabled subjects to report problems and “vent“ at the computer. Subsequent behavior was then observed, and self-report data was collected. Behavioral results showed the agent was significantly more effective than the two controls in helping relieve frustration levels in subjects. These results demonstrate that strategic, social, emotional-content interaction with a computer by users who are experiencing frustration can help alleviate this negative state. They also provide evidence that humans may benefit emotionally in the short term from computers that respond in socially appropriate ways toward their emotions. The implications of this work suggest a wholly new role for computers in human life. Sociological ramifications of this new role are also discussed.