Miracle-dz/UniFAR-FTUs huggingface dataset:
The Predictive Dynamics of Happiness and Well-Being

We offer an account of mental health and well-being using the predictive processing framework (PPF). According to this framework, the difference between mental health and psychopathology can be located in the goodness of the predictive model as a regulator of action. What is crucial for avoiding the rigid patterns of thinking, feeling and acting associated with psychopathology is the regulation of action based on the valence of affective states. In PPF, valence is modelled as error dynamics—the change in prediction errors over time. Our aim in this paper is to show how error dynamics can account for both momentary happiness and longer term well-being. What will emerge is a new neurocomputational framework for making sense of human flourishing.
Finite Element Method Applied to Skin-Effect Problems in Strip Transmission Lines

This paper describes a two-dimensional finite element approach to the quasi-static TEM analysis of shielded or open conducting strips with applications to VLSI parasitic elements and transmission line characteristics of printed circuits. The approach uses a combination of two-dimensional and one-dimensional finite elements to solve the field problems in terms of the magnetic vector potential in the frequency domain. The method and the algorithm can be applied to shielded or open conducting strips and takes into account the skin effect and proximity effect between structures. The ac resistance and reactance calculated by rising this approach can be used as input parameters to a circuit analysis program such as SPICE or similar programs.
Determinants of Obtaining COVID-19 Vaccination among Health Care Workers with Access to Free COVID-19 Vaccination: A Cross-Sectional Study

Introduction: Despite global efforts to contain the illness, COVID-19 continues to have severe health, life, and economic repercussions; thus, maintaining vaccine development is mandatory. Different directions concerning COVID-19 vaccines have emerged as a result of the vaccine’s unpredictability. Aims: To study the determinants of the attitudes of healthcare workers (HCWs) to receiving or refusing to receive the vaccine. Methods: The current study adopted an interviewed questionnaire between June and August 2021. A total of 341 HCWs currently working at Assiut University hospitals offered to receive the vaccine were included. Results: Only half of the HCWs (42%) accepted the COVID-19 vaccine. The most common reason that motivated the HCWs was being more susceptible than others to infection (71.8%). On other hand, the common reasons for refusing included: previously contracted the virus (64.8%); did not have time (58.8%); warned by a doctor not to take it (53.8%). Nearly one-third of nonaccepting HCWs depended on television, the Internet, and friends who refused the vaccine for information (p < 0.05). In the final multivariate regression model, there were six significant predictors: sex, job category, chronic disease, being vaccinated for influenza, and using Assiut University hospital staff and the Ministry of Health as sources of information (p < 0.05). Conclusion: Misinformation and negative conceptions are still barriers against achieving the desired rate of vaccination, especially for vulnerable groups such as HCWs.
Rowan Berries: A Potential Source for Green Synthesis of Extremely Monodisperse Gold and Silver Nanoparticles and Their Antimicrobial Property

Rowanberries (Sorbus aucuparia) are omnipresent in Europe. The medicinal importance of rowanberries is widely known and corresponds to the active ingredients present in the fruits, mainly polyphenols, carotenoids, and organic acids. In the current study, we explored rowanberries for the reduction of gold and silver salts into nanoparticles. Rowanberries-mediated gold nanoparticles (RB-AuNPs) formed within 5 s at room temperature, and silver nanoparticles (RB-AgNPs) formed in 20 min at 90 °C. The produced nanoparticles were thoroughly characterized by UV-Vis spectroscopy, scanning electron microscopy (SEM), energy dispersive X-ray (EDX), transmission electron microscopy (TEM), dynamic light scattering (DLS), single-particle inductively coupled plasma–mass spectrometry (sp-ICP-MS), thermogravimetric analysis (TGA), Fourier transform-infrared spectroscopy (FT-IR) and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF). The characterization confirmed that the nanoparticles are highly monodisperse, spherical, stable over long periods, and exhibit a high negative zeta potential values. The produced RB-AuNPs and RB-AgNPs were 90–100 nm and 20–30 nm in size with a thick biological corona layer surrounding them, providing extreme stability but lowering the antimicrobial activity. The antimicrobials study of RB-AgNPs revealed that the nanoparticles have antimicrobial potential with an MBC value of 100 µg/mL against P. aeruginosa and 200 µg/mL against E. coli.
The Entrepreneurial Profile of Students Participating in the Academic Entrepreneurship Course: Pilot Study Results

This paper presents the entrepreneurial profile of a group of students of the academic entrepreneurship course. The aim of this preliminary exploratory study is to discover the entrepreneurial profile of the students who took part in this course, identifying their socio-demographic profile in terms of sex, age, nationality (there is a high presence of foreign students), and family background. Moreover they are asked to assess their entrepreneurial self-perception, the desirability, feasibility, and intent to create a company, and their perception of risk. For this a questionnaire is used, which was validated in previous studies to discover the entrepreneurial profile of students who take courses on ‘Entrepreneurship’ in different fields, contexts, and countries. The results will allow the discovery of the entrepreneurial inclination of these students, and, in the future, to compare it with other studies and measure the possible impact of the course on the modification of the said inclination.
Enhanced Oral Bioavailability of Epalrestat SBE7-β-CD Complex Loaded Chitosan Nanoparticles: Preparation, Characterization and in-vivo Pharmacokinetic Evaluation

Background Epalrestat (EPL) is a carboxylic acid derivative with poor aqueous solubility and its pharmacokinetic features are not fully defined. Purpose Current research aimed to fabricate inclusion complexation of EPL with SBE7 β-CD (IC) and EPL/SBE7 β-CD CS NPs (NP). Methods EPL was complexed with SBE7 β-CD using the co-precipitation method, and the prepared complex was fabricated into nanoparticles using the ionic gelation method. The prepared formulations were characterized for particle size analysis, surface morphology, and in vitro dissolution study. The % inhibition of EPL against α-glucosidase enzyme was also conducted to check the drug’s antidiabetic activity. Finally, an in vivo pharmacokinetic investigation was carried out to determine the concentration of EPL in rabbit plasma of the prepared formulation. In vivo pharmacokinetic studies were conducted by giving a single dose of pure EPL, IC, and NP. Results The size of NP was found to be 241.5 nm with PDI 0.363 and zeta potential of +31.8 mV. The surface of the prepared NP was non-porous, smooth and spherical when compared with pure EPL, SBE7 β-CD and IC. The cumulative drug release (%) from IC and NP was 73% and 88%, respectively, as compared to pure drug (25%). The % inhibition results for in vitro α-glucosidase was reported to be 74.1% and the predicted binding energy for in silico molecular docking was calculated to be −6.6 kcal/mol. The calculated Cmax values for EPL, IC and NP were 4.75±3.64, 66.91±7.58 and 84.27±6.91 μg/mL, respectively. The elimination half-life of EPL was 4 h and reduced to 2 h for IC and NP. The AUC0-α for EPL, IC and NP were 191.5±164.63, 1054.23±161.77 and 1072.5±159.54 μg/mL*h, respectively. Conclusion Taking these parameters into consideration it can be concluded that IC and NP have prospective applications for greatly improved delivery and regulatedt release of poorly water soluble drugs, potentially leading to increase therapeutic efficacy and fewer side effects.
The Acute Effect of Accentuated Eccentric Overloading upon the Kinematics and Myoelectric Activity in the Eccentric and Concentric Phase of a Traditional Bench Press

The target of this study was to investigate the acute effect of a supramaximal augmented eccentric load on the kinematics and myoelectric activity during the concentric phase of the lift in a traditional bench press. Ten resistance-trained males (age 24 ± 6.4 years, height 1.80 ± 0.07 m, body-mass 87.2 ± 16.9 kg) performed two repetitions at 110/85% of the 1-RM in the dynamic accentuated external resistance (DAER) group and two repetitions at 85/85% of the 1-RM for the control group in a traditional bench press. The barbell kinematics, joint kinematics and myoelectric activity of eight muscles were measured in the eccentric phase and the pre-sticking, sticking and post-sticking regions. The main findings were that the sticking region started at a lower barbell height and that a lower barbell velocity was observed in the sticking region during the second repetition in the DAER condition compared to the control condition. Additionally, the lateral deltoid muscle and clavicle part of the pectoralis were more active during the eccentric loading compared to the control condition for the second repetition. Furthermore, higher myoelectric activity was measured during the second repetition in the sticking region for the eccentric loading condition in both pectoralis muscles, while the sternal parts of the pectoralis and anterior deltoid were more active during the second repetition of the control condition in the post-sticking region. Based on our findings, it can be concluded that the supramaximal loading in the descending phase with 110% of the 1-RM in the bench press does not have an acute and positive effect of enhanced performance in the ascending phase of the lift at 85% of 1-RM. Instead, fatigue occurs when using this eccentric load during a bench press.
Studies of semitransparent optoelectronic position sensors

Novel semitransparent optoelectronic position sensors, the 'ALMY sensors,' have been developed for high-precision multi-point position and angle measurements of collimated laser beams over a large measurement range. The sensors consist of a thin film of amorphous silicon deposited on a glass substrate between two transparent layers of crossed strip electrodes. They provide a position resolution on the order of a micrometer over sensitive areas of several square centimeters. A transmittance of 80-90% has been achieved for 780 nm laser light produced by diode lasers. We report on recent optimizations of the sensor performance and tests of the long-term stability under laser illumination and of the radiation tolerance at high neutron doses. As expected, the radiation hardness of the amorphous silicon sensors exceeds the that of crystalline silicon devices. The custom designed readout electronics allows for operation at sufficiently low laser intensities in order to prevent significant degradation of the performance of the amorphous silicon sensors under illumination with laser light.
Increasing the accuracy of the WRF-ARW numerical weather prediction model using Corine Land Cover and JAXA data

The geographic data play an important role in atmospheric and weather forecasting. They influence input physical parameters defining the energy balance and heat and moisture fluxes in the planetary boundary layer. The goal of this paper is to increase the accuracy of the widely used Weather Research and Forecasting (WRF) numerical prediction model using a more detailed, 100 m resolution Corine Land Cover 2018 (CLC) and Japanese Space Agency (JAXA) elevation data in comparison to global data from the United States Geological Survey (USGS) containing the MODIS LULC land cover and elevation data. The WRF-ARW variant of the model is applied to a study area of 50x50 km in the Košice region at a microscale level with a spatial resolution of 250 m for June 24, 2020. The GIS4WRF module in QGIS and other GIS tools are used to perform modelling and input and output data preparation and result analysis. The results for both datasets are compared to data measured in local weather stations and statistically evaluated. The use of higher-resolution geographical data improves the overall accuracy of the model for this microscale level.
COVID-19 Vaccine Could Trigger the Relapse of Secondary Hypersomnia

Abstract The coronavirus disease (COVID-19) has brought significant social and economic disruptions and devastating impacts on public health, and vaccines are being developed to combat the disease. Timely vaccination may prevent complications and morbidity but may also potentially result in unforeseen outcomes in some special clinical populations. We report on a case of hypersomnia relapse after the COVID-19 vaccination, with the aim of informing the development of the guideline on vaccination in specific groups. A 19-year old female presented with persistent daytime sleepiness after receiving the COVID-19 vaccine. She had a known history of hypersomnia secondary to infectious mononucleosis but has fully recovered for 8 months. A series of examinations were performed on this patient. Neurologic and psychiatric examinations were unremarkable. Despite normal nocturnal subjective sleep quality (Pittsburgh Sleep Quality Index score = 5, Insomnia Severity Index score = 7), her Epworth sleepiness scale score (15) suggested an abnormal level of subjective sleepiness. Consistent with the subjective report, the objective assessment by Multiple Sleep Latency Test found mean sleep latency was 1.3 min with no sleep onset rapid-eye-movement (REM) period. We speculate that COVID-19 vaccine may potentially trigger the relapse of hypersomnia. The immune memory could be an explanation for the increased response to vaccine in patients with secondary hypersomnia. Caution should be warranted when administering COVID-19 vaccine in patients with hypersomnia secondary to infections.
Plant Breeding and Management Strategies to Minimize the Impact of Water Scarcity and Biotic Stress in Cereal Crops under Mediterranean Conditions

Wheat and rice are two main staple food crops that may suffer from yield losses due to drought episodes that are increasingly impacted by climate change, in addition to new epidemic outbreaks. Sustainable intensification of production will rely on several strategies, such as efficient use of water and variety improvement. This review updates the latest findings regarding complementary approaches in agronomy, genetics, and phenomics to cope with climate change challenges. The agronomic approach focuses on a case study examining alternative rice water management practices, with their impact on greenhouse gas emissions and biodiversity for ecosystem services. The genetic approach reviews in depth the latest technologies to achieve fungal disease resistance, as well as the use of landraces to increase the genetic diversity of new varieties. The phenomics approach explores recent advances in high-throughput remote sensing technologies useful in detecting both biotic and abiotic stress effects on breeding programs. The complementary nature of all these technologies indicates that only interdisciplinary work will ensure significant steps towards a more sustainable agriculture under future climate change scenarios.
Leaf reference values for ‘Pérola’ pineapple quality using compositional nutrient diagnosis

Abstract The leaf reference values for pineapple available in the literature were obtained using bivariate methods that aim to reach maximum yield; however, plant nutrition also influences the fruit quality. This study aimed to generate reference values for the ‘Pérola’ pineapple grown in the Paraíba State using compositional nutrient diagnosis (CND) in order to maximize fruit yield and quality. The study used data of fruit weight, soluble solids (SS), titratable acidity (TA), SS/TA ratio, and leaf concentrations of N, P, K, S, Ca, Mg, Cu, Fe, Zn, Mn, and B of the pineapple cultivar ‘Pérola’ originated from fertilization trials. The treatments consisted of the combination of two matrices: the modified Pan Puebla III matrix and the Baconian matrix, which assessed the variation in the levels of N, P, K, and S and the variation in the levels of liming and micronutrients, respectively, totaling 30 treatments in a randomized block design with 90 plots and three replications per experiment. The CND method was used to obtain reference values. There were differences in the mean nutrient concentrations between the high and low-quality populations; however, there was no difference between the nutrient concentrations that promoted the highest fruit weight and those that promoted the highest quality index. The sufficiency ranges for ‘Pérola’ pineapple obtained by CND methodology aiming at the quality index and yield were: N:10.9–14.2; P:1.2–1.6; K: 35.6–42.8; S: 1.0–1.5; Ca: 2.3–3.7; Mg: 1.5–2.2 g kg−1; Cu: 1.1–3.1; Fe: 30.4–52.6; Zn: 4.0–8.5; Mn: 129.2–175.9; and B: 18.8–27.4 mg kg−1.
Traffic safety at intersections: a priority based approach for cooperative collision avoidance

In this paper, we consider the coordination problem of multiple autonomous vehicles at traffic intersections. In particular, we exploit a cooperative, sequential conflict resolution approach based on a pre-defined decision order. Using an optimal control formulation, we show how coordination can be ensured by solving two local problems where collision avoidance is enforced as time-dependent state constraints. We will analyse the feasibility of a given sequence with respect to different decision criteria and present simulation results supporting our results.
Hybrid Genetic Programming and Multiverse-based Optimization of Pre-Harvest Growth Factors of Aquaponic Lettuce Based on Chlorophyll Concentration

Optimizing photosynthesis is vital in maintaining quality farm produce in the agricultural food production sector. The nonlinear behavior of the interaction of crop pre-harvest growth factors can promote or retard its growth. This study employed multigene symbolic regression genetic programming (MSRGP) in developing the chlorophyll-a fitness function allied with bioinspired algorithms, namely genetic algorithm (GA), particle swarm optimization (PSO), and multiverse optimization (MVO), in determining the ideal combination of carbon dioxide, light intensity, air temperature, and humidity that will induce photosynthesis based on aquaponic lettuce (Lactuca sativa var. Altima) leaf chlorophyll-a concentration. Light spectra were characterized through the floating leaf disk technique, which resulted in white spectra as the most photosynthetic conducive based on the light reaction and dark respiration. Leaf spectro-textural-morphological signatures were extracted for non-destructive MSRGP chlorophyll-a concentration measurement. Carbon dioxide and humidity have a strong positive impact on chlorophyll-a concentration. Photosynthesis is impeded by Vis/IR above 7.817. The hybrid MSRGP-MVO generated the ideal global solution of 880.744 ppm of CO2, 543.147 μmol m -2 s of the visible white light spectrum, 22.238 °C air temperature, and 67.742% humidity which resulted in 651.144 mg g of Chl-a, 0.934 leaf weight ratio, 0.066 roots to shoot ratio, 141 xylem vessels mm 127.389 stomata mm, and more prominent intracellular chloroplast concentration for the harvest stage lettuce. The established standard for fresh weight, chlorophylls a and b, and vitamin C concentrations are essential for developing an adaptive nutrient management system to maintain the expected growth signatures of lettuce at the end of the 6-week cultivation cycle. Keywords—Chlorophyll pigment; genetic programming; lettuce; multiverse optimization; photosynthetic rate. Manuscript received 20 Apr. 2021; revised 14 Jun. 2021; accepted 1 Sep. 2021. Date of publication 31 Dec. 2021. IJASEIT is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.
Potential biomass quantity and sugar processing quality of trash and stalk tissues by different US sugarcane varieties

The effect of the world-wide change from burnt to unburnt "green" sugarcane harvesting on biomass and sugar processing has not been fully characterized, particularly quantity and quality differences among trash tissues. Whole-stalks from the first ratoon crop (12 months age) of five commercial Louisiana sugarcane varieties (LCP 85-384, HoCP 96-540, L 97-128, L 99-226, and L 99-233) with varying yield and harvest characteristics, including lodging and leaf sheath adherence, were harvested mid-season. Four sample tissues from four replicates were collected: brown, dry leaves (BL), green leaves (GL), growing point region (GPR) or apical internodes, and stalk (S). Juice was extracted from each tissue type. Total trash on a wet weight basis (GPR + GL + BL) ranged from 16.4 to 19.8% with variety and generally reflected leaf sheath adherence. Over one third (av. 36.3%) of the total dry biomass from sugarcane was from the trash, with GL delivering the most biomass of all the trash tissues. A strong negative correlation (R 2 = -0.909) existed between ash in the BL and S juices which suggests that before BL fell from the field stalk, soluble inorganic nutrients were re-assimilated back into the S. Thus, even though varieties ability to "self-remove" or "shuck" BL in the field before harvesting is a minor selection criterion in breeding programs, there may be no overall loss in inorganic nutrients being delivered to the factory. Starch concentrations (ppm/Brix) in the S were low, but when calculated on a percent tissue wet wt basis it was observed that the S delivers a considerable amount of the starch to the factory just because of its much higher weight than other tissues. Therefore, the impact of starch in stalks delivered to the factory should not be underestimated. On a percent tissue wet wt basis, S and GL delivered the most total soluble polysaccharides to the factory. A significant correlation (R 2 = 0.63, P<.05) only existed between starch and total polysaccharides in the GL tissue, indicating other polysaccharides than starch are predominant in S, GPR, and BL. This study should now be repeated across the processing season to ascertain the full effect of maturity and environmental conditions on the quantity and quality of biomass and sugar processing parameters.