Miracle-dz/UniFAR-FTUs huggingface dataset:
Analytical Assessment of the Antioxidant Properties of the Coneflower (Echinacea purpurea L. Moench) Grown with Various Mulch Materials

Antioxidants are added to foods to decrease the adverse effect of reactive species that create undesirable compounds that destroy essential nutrients and, therefore, lower the nutritional, chemical and physical properties of foods. This study was carried out to determine the antioxidant properties of flowers and plant stems with leaves of Echinacea purpurea grown with mulches of different colours and thicknesses. Coneflowers were grown in the Experimental Station of the Agricultural University in Kraków, Poland. The mulching materials used were black, green and brown colours of 100 g/m2 and 80 g/m2 density. In plant material, e.g., flowers or plant stems plus leaves the proximate analysis, the total polyphenol content and the ability to scavenge free radicals (ABTS, DPPH and FRAP) were determined. The results show that flower samples had a higher content of compound proteins, ash and phenolic compounds. The mulching colour and density did not affect the proximate analysis of the E. purpurea plant. Based on the result of this study, E. purpurea is a potential source of natural antioxidants and can be used to improve the antioxidant activity of various food products as well as in cosmetics within the pharmaceutical industry.
Annual and interannual variations in global 6.5DWs from 20 to 110 km during 2002–2016 observed by TIMED/SABER

Using version 2.0 of the TIMED/SABER kinetic temperature data, we have conducted a study on the annual and interannual variations of 6.5DWs at 20–110 km, from 52°S to 52°N for 2002–2016. First, we obtained global annual variations in the spectral power and amplitudes of 6.5DWs. We found that strong wave amplitudes emerged from 25°S/N to 52°S/N and peaked in the altitudes of the stratosphere, mesosphere, and the lower thermosphere. The annual variations in the 6.5DWs are similar in both hemispheres but different at various altitudes. At 40–50 km, the annual maxima emerge mostly in winters. In the MLT, annual peaks occurred twice every half year. At 80–90 km, 6.5DWs appeared mainly in equinoctial seasons and winters. At 100–110 km, 6.5DWs emerged mainly in equinoctial seasons. Second, we continued the study of the interannual variations in 6.5DW amplitudes from 2002 to 2016. Frequency spectra of the monthly mean amplitudes showed that main dynamics in the long‐term variations of 6.5DWs were AO and SAO in both hemispheres. In addition, 4 month period signals were noticed in the MLT of the NH. The amplitudes of SAO and AO were obtained using a band‐pass filter and were found to increase with altitude, as do the 6.5DW amplitudes. In both hemispheres, the relative importance of SAO and AO changes with altitude. At 40–50 and 100–110 km, AO play a dominant role, while at 80–90 km, they are weaker than SAO. Our results show that both the annual and interannual variations in 6.5DWs are mainly caused by the combined action of SAO and AO.
Convolutional neural networks for automated seismic interpretation

Deep-learning methods have proved successful recently for solving problems in image analysis and natural language processing. One of these methods, convolutional neural networks (CNNs), is revolutionizing the field of image analysis and pushing the state of the art. CNNs consist of layers of convolutions with trainable filters. The input to the network is the raw image or seismic amplitudes, removing the need for feature/attribute engineering. During the training phase, the filter coefficients are found by iterative optimization. The network thereby learns how to compute good attributes to solve the given classification task. However, CNNs require large amounts of training data and must be carefully designed and trained to perform well. We look into the intuition behind this method and discuss considerations that must be made in order to make the method reliable. In particular, we discuss how deep learning can be used for automated seismic interpretation. As an example, we show how a CNN can be used for automatic interpretation of salt bodies.
The Efficacy of Hybrid Vaginal Ovules for Co-Delivery of Curcumin and Miconazole against Candida albicans

Curcumin (CUR) is a natural compound that can be combined with miconazole (MCZ) to improve vulvovaginal candidiasis (VVC) caused by Candida albicans treatment’s efficacy. This study aimed to develop ureasil–polyether (U-PEO) vaginal ovules loaded with CUR and MCZ for the treatment of VVC. Physicochemical characterization was performed by thermogravimetry (TGA), differential thermal analysis (DTA), Fourier transform infrared spectroscopy (FTIR), and in vitro release. Antifungal assays were used to determine minimum inhibitory concentrations (MICs) and synergism between CUR and MCZ, and the activity of U-PEO ovules were performed by microdilution and agar diffusion. TGA results showed high thermal stability of the hybrid ovules. In DTA, the amorphous character of U-PEO and a possible interaction between CUR and MCZ were observed. FTIR showed no chemical incompatibility between the drugs. In vitro release resulted in 80% of CUR and 95% of MCZ released within 144 h. The MICs of CUR and MCZ were 256 and 2.5 µg/mL, respectively. After combining the drugs, the MIC of MCZ decreased four-fold to 0.625 µg/mL, while that of CUR decreased eight-fold to 32 µg/mL. Synergism was confirmed by the fractional inhibitory concentration index (FICI) equal to 0.375. U-PEO alone showed no antifungal activity. U-PEO/MCZ and U-PEO/CUR/MCZ ovules showed the greatest zones of inhibition (≥18 mm). The results highlight the potential of the ovules to be administered at a lower frequency and at reduced doses compared to available formulations.
A CASE STUDY OF A BEACH FLAGS START TECHNIQUE VARIATION IN ELITE SPRINTERS

Beach flags are a surf lifesaving event that involves a 20-meter sprint across sand. Sprinters begin in a prone position, facing the opposite direction to the intended sprint, before rising and turning to sprint and dive to capture a flag positioned in the sand. The typical start involves posterior movement away from the start line during the turn. Anecdotal evidence has suggested that beach flags sprinters can use variations to the start technique documented in the literature. Therefore, this research provided a case study of a start variation termed the pivot start. One male (age = 19 years; height = 1.74 m; mass = 66 kilograms), and one female (age = 23 years; height = 1.68 m; mass = 57 kilograms) elite sprinter were analyzed. A high-speed camera filmed the start. The analyzed data included: start time; hip and shoulder height during the turn; feet spacing; elbow, hip, knee, trunk lean, and trajectory angles at take-off, and descriptive statistics were derived. The analysis showed that the sprinters had no posterior movement behind the start line as they kept one leg on the start line, while the other leg was swung about the body so the sprinter rotated about the pivot leg. The rotatory start movements placed both sprinters into an effective, low body position for acceleration, indicated by trunk lean (~60°) and trajectory angle (~47°). These unique movement patterns should be trained accordingly for beach flags sprinters that use the pivot start.
Is the “Grenville Front” in the central United States really the midcontinent rift?

Two prominent Precambrian geologic features of central North America are the Midcontinent Rift (MCR) and Grenville Front (GF). The MCR, an extensive band of buried igneous and sedimentary rocks outcropping near Lake Superior, records a major rifting event at ca. 1.1 Ga that failed to split North America. In SE Canada, the GF is the continent-ward extent of deformation of the fold-and-thrust belt from the Grenville orogeny, the sequence of events from ca. 1.3–0.98 Ga culminating in the assembly of the supercontinent of Rodinia. In the central U.S., lineated gravity anomalies extending southward along the trend of the front in Canada have been interpreted as a buried Grenville Front. However, we use recent tectonic concepts and data analyses to argue that these anomalies delineate the eastern arm of the MCR extending from Michigan to Alabama, for multiple reasons: (1) These anomalies are similar to those along the remainder of the MCR and quite different from those across the front in Canada; (2) the Precambrian deformation observed on seismic reflection profiles across the presumed “front” appears quite different from that across the front in Canada, cannot confidently be assigned to the Grenville orogeny, and is recorded at least 100 km west of the “front”; and (3) during the Grenville orogeny, deformational events from Texas to Canada were not caused by the same plate interactions and were not necessarily synchronous. Hence the commonly inferred position of the “Grenville Front” in the central U.S. is part of the MCR, and should not be mapped as a separate entity.
Human Translation vs. Machine Translation in the Naguib Mahfouz’s Novel Palace Walk: A Case Study

Literary translation is one of the most important ways to break down barriers between languages, as its mission is to convey the cultural aspects and beliefs of one people to another. For translating these works to look like the originals is not an easy task for humans, so imagine what would happen if they were given to machines! The researcher chose Naguib Mahfouz's novel Bayn Al-Qasrain ‘Palace Walk’ to study the differences between human and machine translation, so this study is based on comparing the results of human and machine translation of literary texts, in particular Naguib Mahfouz's novel Bayn Al-Qasrain ‘Palace Walk’, in addition to researching the strategies used by them. Finally, the researcher will shed light on the errors and problems faced by humans and machines in translating cultural expressions from Arabic into English.
Influencia de los contaminantes atmosféricos sobre la salud

The industrial and urban growth of the last decades has caused an increment of the atmospheric contamination, and therefore a higher risk for health. Most of the atmospheric contaminants produce harmful effects in dependence of their concentration, so it is necessary to identify their existence and to control the levels of each of these potentially dangerous elements. Atmospheric contamination is a problem affecting both, the developed and developing countries in the same way. The main human-originated contamination sources are transportation means, energy production and industrial activities, and also the gaseous inorganic compounds that are extremely dangerous for the population’s health. Atmospheric contamination caused by different chemical substances has currently a great connotation around the world, due to the noxious effects on the ecosystems and particularly on the human health and on the metallic materials. The urban development, the modification of the earth surface and the climatic change are phenomena derived from a world demographic explosion that are harming not only people but also the ecosystem´s animals and plants. That is why the objective of the work was to identify the main atmospheric contaminants and the anthropogenic sources causing health deviations.
Survival Rates of Extremely Low-Birth-Weight Infants in a Tertiary Care Center in Saudi Arabia

Introduction Extremely low birth weight (ELBW) refers to the condition in which an infant is born with a weight of less than one thousand grams (2.2 pounds) at birth. ELBW infants face significant challenges and are at increased risk for various medical complications and developmental issues. ELBW poses unique challenges for infants, families, and healthcare providers. Understanding the causes, consequences, and appropriate management strategies for ELBW is crucial for improving the survival rates of these vulnerable infants. Aim This study aimed to measure the survival rates of ELBW infants in Saudi Arabia and its correlated risk factors. Patients and methods This case-control study was a retrospective chart review analysis of data from King Abdulaziz Medical City (KAMC), a single tertiary care center in Riyadh, Kingdom of Saudi Arabia, and conducted over a four-year period. To estimate the survival rate among all live-birth newborn infants who were born with ELBWs of less than 1000 grams, collected data were tabulated and cleaned in MS Excel, and all data were analyzed using IBM SPSS Statistics for Windows, version 26 (released 2019; IBM Corp., Armonk, New York, United States). Results Two hundred and fifty-six patients were involved. Non-survival rates were 12.9%. In a multivariate regression model, prolonged rupture of membranes (PROM), periventricular leukomalacia (PVL), major intraventricular hemorrhage (IVH), and longer length of stay had increased risks for non-survival, while increasing gestational age, APGAR scores, and cesarean section had decreased risks for non-survival. Survival analysis found that there was a significant mean difference in gestational age (weeks) survival time between normal spontaneous vaginal delivery (NSVD) and cesarean section based on log-rank (Mantel-Cox) (p = 0.008). Conclusion Consistent with the literature, a greater prevalence of ELBW infants survived during hospital stay. Independent risk factors for non-survival include PROM, PVL, major IVH, and long length of stay. Cesarean section, increasing gestational, and APGAR scores were identified as the independent predictors of survival. Prospective studies in nature are required to determine these factors' cause and effect.
Experimental studies on sand plug formation in suction caisson during extraction

ABSTRACT A series of model tests were conducted on Perspex-made suction caissons in saturated dense marine sand to study the sand plug formation during extraction. Suction caissons were extracted by pullout loading or by pumping air into the suction caisson. Effects of the pullout rates, aspect ratios and loading ways (monotonic or sustained) on the pullout capacity, and plug formation were investigated. It was found that the ultimate pullout capacity of the suction caisson increases with increasing the pullout rate. The sand plug formation under the pullout loading is significantly influenced by the pullout rate and the loading way. When the suction caisson is extracted at a relatively slow rate, the general sand boiling through the sand plug along the inner caisson wall occurs. On the contrary, the local sand boiling will occur at the bottom of the suction caisson subjected to a rapid monotonic loading or a sustained loading. Test results of the suction caisson extracted by pumping air into the caisson show that the pressure in the suction caisson almost follows a linear relationship with the upward displacement. The maximum pressures for suction caissons with aspect ratios of 1.0 and 2.0 during extraction by pumping air into the caisson are 1.70 and 2.27 times the maximum suction required to penetrate the suction caisson into sand. It was found that the sand plug moves downward during extraction by pumping air into the caisson and the variation in the sand plug height is mainly caused by the outflow of the sand particles from the inside of the suction caisson to the outside. When the suction caisson model is extracted under the pullout rate of 2 mm/s (0.28 mm/s for the prototype), the hydraulic gradient along the suction caisson wall increases to the maximum value with increasing the penetration depth and then reduces to zero. On the contrary, when extracted under the pullout rate of 10 mm/s (1.4 mm/s for the prototype), the hydraulic gradient along the suction caisson wall increases with increasing the pullout displacement. When extracted by pumping air into the caisson, the hydraulic gradient reaches the critical value, and at the same time, the seepage failure occurs around the suction caisson tip.
Mechanobiology of Dental Pulp Cells

The dental pulp is the inner part of the tooth responsible for properly functioning during its lifespan. Apart from the very big biological heterogeneity of dental cells, tooth microenvironments differ a lot in the context of mechanical properties—ranging from 5.5 kPa for dental pulp to around 100 GPa for dentin and enamel. This physical heterogeneity and complexity plays a key role in tooth physiology and in turn, is a great target for a variety of therapeutic approaches. First of all, physical mechanisms are crucial for the pain propagation process from the tooth surface to the nerves inside the dental pulp. On the other hand, the modulation of the physical environment affects the functioning of dental pulp cells and thus is important for regenerative medicine. In the present review, we describe the physiological significance of biomechanical processes in the physiology and pathology of dental pulp. Moreover, we couple those phenomena with recent advances in the fields of bioengineering and pharmacology aiming to control the functioning of dental pulp cells, reduce pain, and enhance the differentiation of dental cells into desired lineages. The reviewed literature shows great progress in the topic of bioengineering of dental pulp—although mainly in vitro. Apart from a few positions, it leaves a gap for necessary filling with studies providing the mechanisms of the mechanical control of dental pulp functioning in vivo.
Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis

Sentiment Analysis (SA) holds considerable significance in comprehending public perspectives and conducting precise opinion-based evaluations, making it a prominent theme in natural language processing research. With the increasing trend of online shopping and social media usage, there is a constant influx of diverse data types such as images, videos, audio, and text. Notably, text stands out as the most crucial form of unstructured data, demanding heightened attention from researchers. Given the voluminous nature of data, various methodologies have been proposed to effectively mine big datasets for valuable insights. The challenge of accurately identifying polarity in extensive customer evaluations persists due to the intricacies associated with handling large textual datasets derived from reviews, comments, tweets, and posts. This study addresses this challenge by presenting a straightforward architecture, the Double Path Transformer Network (DPTN), designed to model both global and local information for comprehensive review categorization. To enhance the synergy between the attention path and the convolutional path, the study advocates a parallel design that combines a robust self-attention mechanism with a convolutional network. The research employs the gaining-sharing knowledge optimization (GSK) approach to fine-tune hyperparameters, thereby improving the model’s classification accuracy. Additionally, the investigation demonstrates that optimization algorithms and deep learning collaboratively manage class imbalances with finesse, even in the absence of explicit measures for such concerns. In the experiment analysis of the proposed model ultimately achieved an accuracy of 95.
Development of inter-specific hybrids between Solanum melongena L. and Solanum sisymbriifolium Lam. through embryo rescue

In present investigation, inter-specific hybridization between two species was carried out using a three-way cross with the aim to study the response of heterotic hybrids for cross-compatibility and to improve the fertility traits of interspecific cross such as pollen viability and density for further introgression of agronomically important traits. The present investigation highlights genotypic variation of for cross-compatibility between S. melongena hybrids and Solanum sisymbriifolium. Among three hybrids, H3 x Solanum sisymbriifolium (4%) and H4 x Solanum sisymbriifolium (1.5%) showed compatibility for fruit set and developed immature seeds only. The embryo rescue from 25 day-old fruits and in vitro culture on ½ MS medium supplemented with 2mg/L–1BAP showed germination. H5 x S. sisymbriifolium showed 49.4% embryo germination and produced four complete plantlets. Furthermore, all plants were morphologically variable for the presence or absence of spines, flower clustering, slightly curved/straight stigma tip, and flower color. The regenerated plantlets were intermediate to cultivated and wild parents for the quantitative traits. Two SSR markers viz., emg01A17, emh11001 and emb01E03 also confirmed the hybridity of three-way cross plants. Among four interspecific plants, one established high pollen viability (78.5%), while others were partial-fertile (62.8%) and all carried low pollen density (69-299 pollen/ 1cm2) at anthesis. Inbreeding and backcrossing of these plants to both cultivated and wild parents remained unsuccessful. This is the first report of developing a partially-fertile three-way cross between S. melongena and S. sisymbrifollium via embryo rescue.
Psychological Experiences of Parents of Pediatric Cancer Patients during and after COVID-19 Pandemic

Simple Summary This study aimed to evaluate how the COVID-19 pandemic affected the psychological well-being of parents of pediatric oncology patients two years after the pandemic started. The authors’ objective was to make a detailed comparison between the data collected in the current study and the data gathered in the previous research with the aim of observing any changes, whether for better or worse, at the psychological level in the caregivers of the patients in question. This research could be of great use for monitoring the psychological health of the sample and for being able to intervene promptly in the event of the worsening of the reported symptoms. Abstract Background: Family members dealing with the devastating impact of a cancer diagnosis are now facing even greater vulnerability due to the COVID-19 pandemic. Alongside the already overwhelming trauma, they must also bear the distressing burden of the infection risks. The purpose of this study was to examine and explore the effects in parents of pediatric cancer patients two years after the start of the COVID-19 pandemic to compare these data with the previous data. Methods: We conducted a single-center prospective observational study, enrolling 75 parents of 42 pediatric oncology patients. Four questionnaires (IES-R; PSS; STAI-Y and PedsQL) were given to the parents 2 years after the first evaluation. Results: The bivariate matrix of correlation found a strong significant positive correlation between IES-R and PSS scores (r = 0.526, p < 0.001) as in T1. Stress symptoms (t = 0.00, p < 0.001) and levels of anxiety (trait) (t = 0.32, p < 0.001) remained unchanged; anxiety state levels appeared to have increased (t = 0.425, p < 0.001); there was a significant decrease in the PedsQL tot (t = 5.25, p < 0.001). Conclusions: The COVID-19 pandemic has influenced the levels of stress and anxiety of parents and the quality of life of patients, also correlating with the traumatic impact of the diagnosis.