Miracle-dz/UniFAR-FTUs huggingface dataset:
Electrospray Deposition of Polyvinylidene Fluoride (PVDF) Microparticles: Impact of Solvents and Flow Rate

Polymeric microparticles have been shown to have great impacts in the area of drug delivery, biosensing, and tissue engineering. Electrospray technology, which provides a simple yet effective technique in the creation of microparticles, was utilized in this work. In addition, altering the electrospray experimental parameters such as applied voltage, flow rate, collector distance, solvents, and the polymer-solvent mixtures can result in differences in the size and morphology of the produced microparticles. The effects of the flow rate at (0.15, 0.3, 0.45, 0.6, 0.8, and 1 mL/h) and N, N-Dimethylformamide (DMF)/acetone solvent ratios (20:80, 40:60, 60:40, 80:20, 100:0 v/v) in the production of polyvinylidene fluoride (PVDF) microparticles were studied. Scanning electron microscopy (SEM) was used to observe changes in the morphology of the microparticles, and this revealed that a higher acetone to DMF ratio produces deformed particles, while flow rates at (0.3 and 0.45 mL/h) and a more optimized DMF to acetone solvent ratio (60:40 v/v) produced uniform spherical particles. We discovered from the Raman spectroscopy results that the electrosprayed PVDF microparticles had an increase in piezoelectric β phase compared to the PVDF pellet used in making the microparticles, which in its original form is α phase dominant and non-piezoelectric.
The Prevalence of Shoulder Disorders among Professional Bullfighters: A Cross-Sectional Ultrasonography Study

We aimed to investigate clinical and ultrasound signs of shoulder overuse injuries in professional bullfighters; side-to-side differences (dominant vs. non-dominant); and to determine potential differences according to bullfighters’ categories. An observational cross-sectional study was conducted. Thirty professional and active bullfighters were assessed. A bilateral ultrasound assessment of the subacromial bursa, long biceps head tendon (LHBT), and rotator cuff was performed to determine the presence of bursitis, subluxation, partial or total tendon rupture, tenosynovitis, or calcification. Supraspinatus tendon thickness was measured. Finally, a battery of clinical orthopedic tests (Yergason, Jobe, infraspinatus, Gerber, and bursa tests) were also performed. Most identified ultrasound findings were located in the dominant side, being the presence of bursitis (n = 9; 30%), LHBT tenosynovitis (n = 8; 26.7%), and subscapularis tendon calcification (n = 5; 16.7%) the most prevalent. No side-to-side or between-categories differences were found for supraspinatus tendon thickness (all, p > 0.05). The most frequent positive signs were the infraspinatus test (40.0%), Gerber lift-off test (33.3%), and bursitis, Jobe, and Yergason tests (all, 26.7%). Ultrasound signs were commonly found at LHBT, subacromial bursa, and rotator cuff in professional bullfighters without difference between categories and sides. No side-to-side or between-categories differences were found. Positive clinical test signs suggestive of bursitis, LHBT, and rotator cuff tendinopathy were frequently observed.
The distribution and diversity of chewing lice (Phthiraptera) on the Common Moorhen Gallinula chloropus in Algeria

ABSTRACT Capsule The distribution and prevalence of chewing lice found on Common Moorhens Gallinula chloropus varied between seasons and peaked during the winter. There was also significant variation in how lice were distributed around the body regions of the hosts. Aims To identify the species of lice found on the Common Moorhen, evaluate the seasonal variation in their intensity of infestation and determine spatial distribution on the hosts. Methods Eighty-six Common Moorhens were captured, examined for lice, and released from December 2018 to February 2020 at Lake Tonga, Algeria. Lice were extracted, preserved in 70% ethanol, cleared, and mounted in Canada balsam for identification. The population mean intensity and prevalence of lice species were calculated for each season. Data were inspected using descriptive statistical tools, such as principal component analysis, to explore spatial dispersion on the body regions of the hosts. Results Five louse species were identified: Pseudomenopon pilosum, Rallicola minutus, Laemobothrion chloropodis, Fulicoffula sp, and Incidifrons gallinulae, with percentages of prevalence of 79.07%, 70.93%, 56.98%, 40.70%, and 23.26%, respectively. Their prevalence varied significantly across months, with a peak in the winter. Louse species were non-randomly distributed across the body regions of the hosts. Conclusion This study documents the distribution and diversity of chewing lice on the Common Moorhen for the first time in Algeria and establishes a baseline dataset for further monitoring studies.
Stress-induced premature senescence is associated with a prolonged QT interval and recapitulates features of cardiac aging

Rationale: Aging in the heart is a gradual process, involving continuous changes in cardiovascular cells, including cardiomyocytes (CMs), namely cellular senescence. These changes finally lead to adverse organ remodeling and resulting in heart failure. This study exploits CMs from human induced pluripotent stem cells (iCMs) as a tool to model and characterize mechanisms involved in aging. Methods and Results: Human somatic cells were reprogrammed into human induced pluripotent stem cells and subsequently differentiated in iCMs. A senescent-like phenotype (SenCMs) was induced by short exposure (3 hours) to doxorubicin (Dox) at the sub-lethal concentration of 0.2 µM. Dox treatment induced expression of cyclin-dependent kinase inhibitors p21 and p16, and increased positivity to senescence-associated beta-galactosidase when compared to untreated iCMs. SenCMs showed increased oxidative stress, alteration in mitochondrial morphology and depolarized mitochondrial membrane potential, which resulted in decreased ATP production. Functionally, when compared to iCMs, SenCMs showed, prolonged multicellular QTc and single cell APD, with increased APD variability and delayed afterdepolarizations (DADs) incidence, two well-known arrhythmogenic indexes. These effects were largely ascribable to augmented late sodium current (INaL) and reduced delayed rectifier potassium current (Ikr). Moreover sarcoplasmic reticulum (SR) Ca2+ content was reduced because of downregulated SERCA2 and increased RyR2-mediated Ca2+ leak. Electrical and intracellular Ca2+ alterations were mostly justified by increased CaMKII activity in SenCMs. Finally, SenCMs phenotype was furtherly confirmed by analyzing physiological aging in CMs isolated from old mice in comparison to young ones. Conclusions: Overall, we showed that SenCMs recapitulate the phenotype of aged primary CMs in terms of senescence markers, electrical and Ca2+ handling properties and metabolic features. Thus, Dox-induced SenCMs can be considered a novel in vitro platform to study aging mechanisms and to envision cardiac specific anti-aging approach in humans.
Examining Drivers of Environmentally Conscious Consumer Behavior: Theory of Planned Behavior Extended with Cultural Factors

The growing evidence of rapid urbanization and fast growth of consumption is forcing policymakers and researchers to play an active role in reducing sustainability burdens and preserving environmental wellness for future generations. Considering that environmental degradation interests people around the world and that the existent literature shows limited research works conducted in developing countries, this paper aims to investigate some predictors of environmentally conscious consumer behavior through a study conducted in a developing country (Tunisia). A conceptual framework was developed as an extension of the theory of planned behavior (TPB) and aims to shed light on the direct relationships between environmentally conscious consumer behavior and its predictors, which are environmental concern, perceived consumer effectiveness, and willingness to be environmentally friendly. The moderating roles of cultural factors (collectivism, long-term orientation) in these relationships were also examined. The findings of quantitative data collected through a web survey and analyzed through the structural equation modeling method (SEM) revealed that environmental concern, perceived consumer effectiveness, and willingness to be environmentally friendly are important motives for environmentally conscious consumers’ behavior. The cultural factor collectivism significantly strengthens the relationships between environmentally conscious consumer behavior and its predictors. The moderating role of long-term orientation is also positive but too weak. This study is among the few studies that adopt TPB in the context of environmental conscious consumption and examine the direct relationships between behavior and its predictors without the mediation of intention. It also extends the TPB by assessing the moderating role of cultural factors. The results of this study offer relevant managerial recommendations for marketers to promote favorable attitudes toward environmental issues and implement relevant strategies to the benefit of the environment and people. Understanding the moderating role of culture can also help managers to promote environmentally conscious behaviors in other countries.
[Breast-feeding experience for women workers and students from a public university].

This qualitative research aimed to know the main interfering elements in the breast-feeding process as experienced by professional women and by students, that was carried out with 65 professional women and students from a public university in Sao Paulo state. The data collection was proceeded by interviews which contents were analyzed according to Taylor and Bogdan and Symbolic Interactionism approaches. Results indicated that the breast-feeding process for these women demonstrated to be conditioned and highlighted by the conditions the women encounter in their domestic, professional, and study settings. The physical setting and the relations among their relatives, superiors and peers exerts a strong influence on their determination to keep on breastfeeding.
Couple Ethical Purchase Behavior and Joint Decision Making: Understanding the Interaction Process and the Dynamics of Influence

We present in this paper a qualitative study of couple ethical purchasing behavior, based on interviews with French consumers. The analysis of joint decision making allows us to distinguish between ethical couples who favor the choice of ethical products when making purchase decisions together and unethical couples who do not. Our results show that ethical couples are characterized by a positive exchange of information, use of verbal and tactical persuasion strategies, and trust in the knowledge of the partner, while unethical couples are characterized by a negative exchange of information, difficulties with joint decision making, and conflict-minimizing strategy. Time, money, and pleasure appear as the most critical factors restricting couples’ purchase of ethical products. Our research provides the first empirical evidence about the dynamics of influence of one partner over the other within couples regarding ethical purchasing behavior.
Assessing System-Wide Safety Readiness for Successful Human–Robot Collaboration Adoption

Despite their undisputed potential, the uptake of collaborative robots remains below expectations. Collaborative robots (cobots) are used differently from conventional industrial robots. The current safety focus of collaborative workspaces is predominantly on the technological design; additional factors also need to be considered to cope with the emerging risks associated with complex systems. Cobot technologies are characterized by an inherent tradeoff between safety and efficiency. They introduce new, emergent risks to organizations and can create psychosocial impacts on workers. This leads to a confusing body of information and an apparent contradiction about cobot safety. Combined with a lack of safety knowledge, this impedes the introduction of cobots. A multi-step methodology was used, including a literature review and conceptual modeling. This article argues for the need for a system-wide safety awareness readiness assessment in the consideration phase of cobot implementation to alleviate the knowledge deficit and confusion. This work will benefit both researchers and practitioners. In addition, it defends the appropriateness of a maturity grid model for a readiness assessment tool. The building blocks for an easy-to-use and practically applicable tool are proposed, as well as an agenda for the next steps.
Heat Transfer Analysis of Nanofluid Flow in a Rotating System with Magnetic Field Using an Intelligent Strength Stochastic-Driven Approach

This paper investigates the heat transfer of two-phase nanofluid flow between horizontal plates in a rotating system with a magnetic field and external forces. The basic continuity and momentum equations are considered to formulate the governing mathematical model of the problem. Furthermore, certain similarity transformations are used to reduce a governing system of non-linear partial differential equations (PDEs) into a non-linear system of ordinary differential equations. Moreover, an efficient stochastic technique based on feed-forward neural networks (FFNNs) with a back-propagated Levenberg–Marquardt (BLM) algorithm is developed to examine the effect of variations in various parameters on velocity, gravitational acceleration, temperature, and concentration profiles of the nanofluid. To validate the accuracy, efficiency, and computational complexity of the FFNN–BLM algorithm, different performance functions are defined based on mean absolute deviations (MAD), error in Nash–Sutcliffe efficiency (ENSE), and Theil’s inequality coefficient (TIC). The approximate solutions achieved by the proposed technique are validated by comparing with the least square method (LSM), machine learning algorithms such as NARX-LM, and numerical solutions by the Runge–Kutta–Fehlberg method (RKFM). The results demonstrate that the mean percentage error in our solutions and values of ENSE, TIC, and MAD is almost zero, showing the design algorithm’s robustness and correctness.
Creative artificial intelligence and narrative transportation.

Artificial intelligence (AI) is increasingly used to accomplish complex tasks, including the creation of artworks and entertainment products. Our focus here is on user responses to AI systems as authors of fictional stories. Across two experiments we examined how the information that a story was written by AI influences narrative transportation and related experiences. In Experiment 1 (N = 325) the information that an AI had created a short story (contemporary fiction) reduced narrative transportation into this story. Experiment 2 (N = 489) was an extended replication in which genre differences (contemporary fiction versus science fiction) were addressed. As expected, ostensible AI authorship reduced transportation, but this effect was qualified by genre: Whereas the AI-authorship effect was replicated for contemporary fiction stories, transportation did not differ between human and AI authorship when participants read science fiction stories. Across both experiments, individual differences (openness, affinity for technology and attitude towards AI) did not moderate the effect of AI authorship on any of the dependent variables.
Pregnant women's perceptions of anemia and iron supplement consumption

Anemia is a condition that is commonly indicated by low hemoglobin levels in the blood. This situation is proven by the lack of quality and quantity of red blood cells that consequently decrease the amount of oxygen transported into the tissue. The high incidence of anemia in pregnancy can cause high maternal mortality after childbirth resulting from pregnancy complications such as bleeding. A lot of research on the factors that influence anemia and the prevention of anemia during pregnancy has been conducted previously. However, there is still few of research exploring women's perception of anemia and the consumption of iron supplements. This Scoping Review aims to determine the extent of women's perception of anemia and iron supplement consumption. The method used is Scoping Review using Wiley Online Library, PubMed, and ScienceDirect databases. The research results that match the criteria are then analyzed with the aim of generating these articles. Appropriational study applied here uses Joana Briggs Institute (JBI), and the synthesis method uses PEOS modification. Six of the 141 articles relevant to titles and abstracts met the inclusion and exclusion criteria.
Prevalence and Risk Factors of Achilles Tendinopathy among University Soccer Players

Background: Tendinopathies especially that of the Achilles account for a significant amount of overuse injuries in sports that could hinder optimal performance in sport, might lead to permanent physical damage or disability, and it’s epidemiology is not extensively documented in our clime. Therefore, this study aimed to determine the prevalence and risk factors associated with Achilles Tendinopathy (AT) among university soccer players. Methods: A cross-sectional survey of 210 soccer players, where 79.5% of the participants were male purposively sampled from two universities. Data on selected anthropometric indices and socio-demographic characteristics of the participants was ascertained. Royal London Test and Victorian Institute of Sports Assessment-Achilles Questionnaire were used to assess AT. The inferential statistics of Spearman rank order correlation and chi square were used for data analysis at an alpha level of 0.05. Results: The prevalence of AT was 21.9 per 100 persons. The mean AT score, age, height, weight, and Body Mass Index (BMI) of the participants were 92.29 ± 15.89, 22.46 ± 1.47 years, 1.74 ± 0.13 meters, 68.90 ± 7.46 kg, 19.73 ± 1.80 respectively. Significant correlation exists between AT score and the following variables: age (p = 0.018), weight (p < 0.01), height (p < 0.01), BMI (p < 0.01). There was no significant correlation between sex and AT score (p = 0.215). Conclusions: The prevalence of Achilles tendinopathy in university soccer players was high. Age, height, weight, BMI except sex correlated with AT. The results depicts that the higher the BMI, the likelihood of having AT.
Quantifying the Impact of Potential Brexit Scenarios Utilising a Double-Logarithmic Gravity Equation

Purpose. The purpose of this research report was to project if the Brexit would negatively impact the export quantities of passenger cars from Germany to the UK. The automotive industry is highly interconnected and barriers could severely impact the supply chain networks of automotive manufacturers. The topic was of particular interest due to the estimated implications of the Brexit and the substantial passenger car quantities that Germany exports. Methodology. The authors studied the current market structure through the use of a double-logarithmic gravity equation. The gravity model provided the foundation for a quantitative forecasting model which projected future trade quantities under different Brexit scenarios. The model was based on a sample representing 98 per cent of Germany’s total export quantity of passenger cars. Diagnostic tests suggest that the model was robust and efficient in estimating trade quantities. Findings. All Brexit scenarios were estimated to negatively impact the export quantities of passenger cars from Germany to the UK. Lower tariffs were projected to benefit export quantities of passenger cars from Germany, nevertheless, a weaker economy in the UK due to the Brexit is estimated to reduce demand for passenger cars and offset the benefits of trading with low tariffs. The most pessimistic scenario in 2030 forecasts a reduction of 15,4 per cent in exported cars compared to a scenario in the absence of the Brexit. Originality. By being the first to project the impact of the Brexit on German export quantities of passenger cars, the results provide valuable insights for automakers as well as supply chain planners and other professionals. Research limitations. The authors have narrowed their focus to the export of complete cars and do not take into account interactions between countries and industries before or after complete cars are exported.
NASA’s Double Asteroid Redirection Test (DART): Mutual Orbital Period Change Due to Reshaping in the Near-Earth Binary Asteroid System (65803) Didymos

The Double Asteroid Redirection Test (DART) is the first planetary defense mission to demonstrate the kinetic deflection technique. The DART spacecraft will collide with the asteroid Dimorphos, the smaller component of the binary asteroid system (65803) Didymos. The DART impact will excavate surface/subsurface materials of Dimorphos, leading to the formation of a crater and/or some magnitude of reshaping (i.e., shape change without significant mass loss). The ejecta may eventually hit Didymos’s surface. If the kinetic energy delivered to the surface is high enough, reshaping may also occur in Didymos, given its near-critical spin rate. Reshaping on either body will modify the mutual gravitational field, leading to a reshaping-induced orbital period change, in addition to the impact-induced orbital period change. If left unaccounted for, this could lead to an erroneous interpretation of the effect of the kinetic deflection technique. Here we report the results of full two-body problem simulations that explore how reshaping influences the mutual dynamics. In general, we find that the orbital period becomes shorter linearly with increasing reshaping magnitude. If Didymos’s shortest axis shrinks by ∼0.7 m, or Dimorphos’s intermediate axis shrinks by ∼2 m, the orbital period change would be comparable to the Earth-based observation accuracy, ∼7.3 s. Constraining the reshaping magnitude will decouple the reshaping- and impact-induced orbital period changes; Didymos’s reshaping may be constrained by observing its spin period change, while Dimorphos’s reshaping will likely be difficult to constrain but will be investigated by the ESA's Hera mission that will visit Didymos in late 2026.
APT-Attack Detection Based on Multi-Stage Autoencoders

In the face of emerging technological achievements, cyber security remains a significant issue. Despite the new possibilities that arise with such development, these do not come without a drawback. Attackers make use of the new possibilities to take advantage of possible security defects in new systems. Advanced-persistent-threat (APT) attacks represent sophisticated attacks that are executed in multiple steps. In particular, network systems represent a common target for APT attacks where known or yet undiscovered vulnerabilities are exploited. For this reason, intrusion detection systems (IDS) are applied to identify malicious behavioural patterns in existing network datasets. In recent times, machine-learning (ML) algorithms are used to distinguish between benign and anomalous activity in such datasets. The application of such methods, especially autoencoders, has received attention for achieving good detection results for APT attacks. This paper builds on this fact and applies several autoencoder-based methods for the detection of such attack patterns in two datasets created by combining two publicly available benchmark datasets. In addition to that, statistical analysis is used to determine features to supplement the anomaly detection process. An anomaly detector is implemented and evaluated on a combination of both datasets, including two experiment instances–APT-attack detection in an independent test dataset and in a zero-day-attack test dataset. The conducted experiments provide promising results on the plausibility of features and the performance of applied algorithms. Finally, a discussion is provided with suggestions of improvements in the anomaly detector.