Miracle-dz/UniFAR-FTUs huggingface dataset:
Combinatorics of Spreads and Parallelisms

Partitions of Vector Spaces Quasi-Subgeometry Partitions Finite Focal-Spreads Generalizing Andre Spreads The Going Up Construction for Focal-Spreads Subgeometry Partitions Subgeometry and Quasi-Subgeometry Partitions Subgeometries from Focal-Spreads Extended Andre Subgeometries Kantor's Flag-Transitive Designs Maximal Additive Partial Spreads Subplane Covered Nets and Baer Groups Partial Desarguesian t-Parallelisms Direct Products of Affine Planes Jha-Johnson SL(2, q) x C-Theorem Baer Groups of Nets Ubiquity of Subgeometry Partitions Flocks and Related Geometries Spreads Covered by Pseudo-Reguli Flocks Regulus-Inducing Homology Groups Hyperbolic Fibrations and Partial Flocks j-Planes and Monomial Flocks Derivable Geometries Flocks of alpha-Cones Parallelisms of Quadric Sets Sharply k-Transitive Sets Transversals to Derivable Nets Partially Flag-Transitive Affine Planes Special Topics on Parallelisms Constructions of Parallelisms Regular Parallelisms Beutelspacher's Construction of Line Parallelisms Johnson Partial Parallelisms Parallelism-Inducing Groups Parallelism-Inducing Groups for Pappian Spreads Linear and Nearfield Parallelism-Inducing Groups General Parallelism-Inducing Groups Coset Switching Finite E-Switching Parallelisms over Ordered Fields General Elation Switching Dual Parallelisms Transitivity p-Primitive Parallelisms Transitive t-Parallelisms Transitive Deficiency One Doubly Transitive Focal-Spreads Appendices Open Problems Geometry Background The Klein Quadric Major Theorems of Finite Groups The Diagram Bibliography Index
Field tests of candidate pheromone blends show promise for mating disruption of the invasive swede midge (Diptera: Cecidomyiidae)

Abstract Swede midge, Contarinia nasturtii (Kieffer) (Diptera: Cecidomyiidae), causes severe economic losses in Brassica Linnaeus (Brassicaceae) crops in its invasive range in North America. Larvae feed within the meristem of their host plants, causing deformed heads, stems, and leaves. Pheromone-mediated mating disruption is particularly promising for swede midge management in high-value vegetable crops because its use is allowed in organic production. However, a major challenge to developing economically viable mating disruption is that the stereospecific three-component swede midge pheromone is costly to synthesise. In broccoli (Brassica oleracea Linnaeus var. italica) field plots, we tested whether stereospecific, lower-cost racemic, and single-component pheromone blends resulted in trap shutdown and reduced crop damage compared to nontreated controls. We found a significant reduction in males caught in three-component stereospecific and racemic pheromone–treated plots but not in the single-component treatments. Although marketable broccoli yields were not higher overall in the pheromone-treated plots compared with those in the controls, yields were significantly higher in the three-component stereospecific treatment in year 2. Therefore, the three-component stereospecific blend shows promise as a pheromone blend for swede midge mating disruption. However, due to high cost and levels of crop damage across all treatments, additional research is necessary to optimise swede midge mating disruption.
Analysis of delay fault in GNR power interconnects

In this paper, a delay fault model for multilayer graphene nanoribbon (GNR)‐based power interconnects for 16‐nm International Technology Roadmap for Semiconductors technology node is developed for both top‐contact GNR and side‐contact GNR. The delay fault model is developed for different temperature considering the impact of scattering parameters. It is shown that side‐contact GNR‐based power interconnects can reduce the delay fault significantly in comparison with that of Cu and top‐contact GNR interconnects at local, intermediate, and global lengths for a wide range of chip operating temperatures from 233 K to 378 K.
Different Approaches to Aggregate Stability Estimation in the Semi-Arid Climate Conditions

ABSTRACT Aggregate stability, which is an important feature among soil physical quality indicators, has a direct or indirect effect on many soil properties. In this study, some physical (sand, silt, and clay), chemical [organic carbon, electrical conductivity (EC), lime (CaCO3), exchangeable calcium + magnesium (Ca + Mg), sodium (Na), free iron and aluminum oxide (Fe2O3 and Al2O3)], and biological (soil respiration, enzyme analysis, microbial biomass carbon) properties of soil were determined. Aggregate stability estimation was performed with (1) multivariate regression equation and (2) artificial neural networks mediated by different activation functions (Sigmoid, Purelin, and Tansig) and algorithms. Properties highly correlated with aggregate stability were EC (r:0.35; p < .01), Urease (r: 0.50; p < .01), Ca + Mg (r: 0.38; p < .01), and clay (r: 0.51; p < .01) was found. Regression equations with an accuracy of 63.6% were obtained by using the clay, CaCO3%, Ca + Mg, EC, and Urease enzyme properties of the soils. With artificial neural networks, the lowest root mean squarer (RMSE) values were obtained in Tansig and Sigmoid activation functions, Levenberg-Marquardt algorithm (LM) and Bayesian correction-based (BR) learning algorithms. The RMSE values ranged from 1.73% to 33.14%, 1.70 to 28.23%, and 5.66 to 29.77% for Tansig, Sigmoid, and Purine functions, respectively. As a result of the study, it was observed that more successful predictions were obtained with artificial neural networks.
Enhancing Mulberry (Morus alba, Linn.) Canopy Regrowth using Gibberelic Acid (GA3) and height Pruning Techniques

ABSTRACT Effects of pruning and growth regulator application on plant regrowth are significant to mulberry plant production. The utilization of different levels of gibberellic acid concentration(GA3) and height pruning technique investigated in mulberry 'Batac' variety in a mulberry plantation located in Ilocos Sur to determine its effects on plant regrowth in terms of the number of days to budding, number, and length of shoots, leaf senescence, biomass herbage, leaf growth ratio, and net assimilation rate, There were two height pruning strategies implemented like 0.50m and 0.75m and four different GA3 concentration like 0 ppm, 100 ppm, 200 ppm, and 300 ppm laid out in factorial randomized complete block design with three replications. The investigation revealed that mulberry plants applied with 300 ppm gibberellic acid yielded effective extensive leaf area in contrast to other treatments, including the treatments with no GA3 application. The application of GA3 on the mulberry plant after pruning either 0.50m or 0.75m advances plant growth in leaf augmentation and leaf deterioration. 300 ppm GA3 concentration produced the highest biomass herbage and yielded the highest mulberry foliage but enhanced leaf senescence tantamount to its speedy decline. There is no significant interaction between pruning heights and the different concentrations of GA3 applied to the mulberry plants. The highest profit was established by the highest concentration of GA3 with the highest net farm income, benefit-cost ratio, and rate of return per ¼ hectare mulberry farm. Keywords: height pruning, regrowth, assimilation rate, leaf deterioration, leaf growth ratio. Mulberry
Spectral–Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering

Autoencoder (AE) is an unsupervised neural network framework for efficient and effective feature extraction. Most AE-based methods do not consider spatial information and band correlations for hyperspectral image (HSI) analysis. In addition, graph-based AE methods often learn discriminative representations with the assumption that connected samples share the same label and they cannot directly embed the geometric structure into feature extraction. To address these issues, in this paper, we propose a dual graph autoencoder (DGAE) to learn discriminative representations for HSIs. Utilizing the relationships of pair-wise pixels within homogenous regions and pair-wise spectral bands, DGAE first constructs the superpixel-based similarity graph with spatial information and band-based similarity graph to characterize the geometric structures of HSIs. With the developed dual graph convolution, more discriminative feature representations are learnt from the hidden layer via the encoder-decoder structure of DGAE. The main advantage of DGAE is that it fully exploits both the geometric structures of pixels with spatial information and spectral bands to promote nonlinear feature extraction of HSIs. Experiments on HSI datasets show the superiority of the proposed DGAE over the state-of-the-art methods. The source code of DGAE is available at https://github.com/ZhangYongshan/DGAE.
Triconsonantal Clusters in Qassimi Arabic

Old Qassimi Arabic speakers show variation in avoiding morpheme-internal CCC in trisyllabic verbs. They epenthesize a vowel in both available positions: [CVCC] or [CCVC]. This variation ceases to exist in the speech of younger QA speakers where the repairing vowel is always epenthesized after the second consonant.It is argued that the site of the epenthetic vowel breaking up illicit triconsonantal clusters is governed by an interaction between stress and epenthesis. This approach connects epenthesis to larger properties of the grammar and offers an independent justification for epenthesis. It is also shown that morpheme-internal triconsonantal clusters highlight tension between stress and epenthesis that yields variation for older speakers while younger speakers resolve that tension in an invariant fashion.
Hydrodynamical Simulations of the Lyα Forest: Model Comparisons

We investigate the properties of the Lyα forest as predicted by numerical simulations for a range of currently viable cosmological models. This is done in order to understand the dependencies of the forest on cosmological parameters. Focusing on the redshift range from 2 to 4, we show that (1) most of the evolution in the distributions of optical depth, flux, and column density can be understood by simple scaling relations; (2) the shape of optical depth distribution is a sensitive probe of the amplitude of density fluctuations on scales of a few hundred kpc; and (3) the mean of the b distribution (a measure of the width of the absorption lines) is also very sensitive to fluctuations on these scales and decreases as they increase. We perform a preliminary comparison to observations, where available. A number of other properties are also examined, including the evolution in the number of lines, the two-point flux distribution, and the He II opacity.
Missing the Bigger Picture: The Need for More Research on Visual Health Misinformation

Research shows that health misinformation is widespread online and poses a potentially significant threat to public health. Visual misinformation has been largely overlooked, a notable gap given the unique features and ubiquity of visual content. In this essay, we (a) provide a working definition of visual misinformation, (b) summarize the main categories of visual misinformation, (c) offer examples of the functions visuals can serve within misinformation content, and (d) outline priorities for advancing research on visual misinformation. A systematic approach to studying visual misinformation can improve efforts to mitigate health misinformation and optimize science communication in the current information environment.
Effect of Repeated Heat Pressing on Fracture Resistance and Mode of Failure of Polyetheretherketone (PEEK) Three-Unit Fixed Dental Prosthesis (FDP).

Purpose: to evaluate the effect of repeated heat pressing on fracture resistance and mode of failure analysis of new and reprocessed PEEK either partially or totally 3-unit FDPs. Methods: 15 PEEK FDPs were manufactured and divided into 3 groups (n=5). Group I was pressed using new PEEK, Group II ; 50% new PEEK and 50% reprocessed PEEK, and Group III ; 100% reprocessed PEEK. The FDPs were vertically loaded till failure in a universal testing machine. Failed specimens were examined for mode of failure and microstructural analysis with SEM and XRD. Results: There was a statistically significant difference between mean fracture resistance values of different PEEK conditions (P-value = 0.006, Effect size = 0.577). Pair-wise comparisons between conditions revealed no statistically significant difference between new (1719.6±315.7) and partially reprocessed PEEK (2010.4±444.4); both showed statistically significant higher mean fracture resistance than totally reprocessed PEEK (1097.2±319.5). Mode of failure analysis showed only bending in the new PEEK group bending (100%). While in the partially processed PEEK group 40% of the samples showed visible cracks at the connector area. Finally, in the totally processed PEEK group 80% showed complete fracture. Conclusion: Totally reprocessed PEEK 3-unit FDPs had the lowest fracture resistance compared to new and partially reprocessed PEEK although all exceeded maximum occlusal forces recorded in the molar area. Incorporating reprocessed PEEK material in 3-unit FDPs increased brittleness and decreased their ability to deform and absorb stresses created during force application.
USE OF SEROLOGICAL INTERACTIONS TO QUANTIFY RESISTANCE OF FLAX CULTIVARS TO POWDERY MILDEW DISEASE

Eight flax cultivars were evaluated for powdery mildew resistance under field conditions in 2001/2002 and 2002/2003 growing seasons. The tested cultivars could be divided into two distinct groups. The first group included the resistant cultivars Dakota, Wilden, and Williston Brown, while the second one included the susceptible cultivars Cortland, Linore, C.I. 2008, Giza 7, and Giza 8. The difference in disease severity was highly significant (P < 0.01) between any cultivar belonged to the first group and any cultivar belonged to the second group. The antigenic relationship between Oidium lini and flax cultivars was studied by two methods. In the first method, the antiserum of the infected whole plants of cultivar Giza 8 interacted against antigens of seeds from the healthy flax cultivars. In the second method, antiserum of O. lini alone interacted against the same antigens after the elimination of Giza 8 antibodies from the antiserum by the reciprocal preceptitation. In the first method, regression analysis indicated that the common antigens between the infected Giza 8 and the healthy cultivars accounted for 86% of the explained (model) variation in severity of powdery mildew on these cultivars. In the second method, regression analysis indicated that the common antigens between O. lini alone and the healthy cultivars accounted for 76% of the explained (model) variation. The first method was superior to the second method for two reasons. First, it did not require the application of the reciprocal precipitation, which greatly simplified the test. Second, this method gave higer coefficient of determination (R ² ) value, which indicated that it was more reliable for predicting resistance to powdery mildew.
Optimization of Pre-Treatment Process Parameters to Generate Biodiesel from Microalga

Cell disruption is an integral part of microalga production process, which improves the release of intracellular products that are essential for biofuel production. In this work, pre-treatment parameters that will enhance the efficiency of lipid production using high-pressure homogenizer on microalgae biomass will be investigated. The high-pressure homogenizer that is considered is a GYB40-10S/GY60-6S; with a pre-treatment pressure of 1000 psi, 2000 psi, and 3000 psi, the number of passes; 1, 2, and 3, a reaction time of 3, 3.5, and 4 h. Pressure and cavitation increase the efficiency of the pre-treatment process of the homogenizer. In addition, homogenization shear force and pressure are the basic significant factors that enhance the efficiency of microalgae cell rupture. Also, the use of modelling to simulate pre-treatment processes (Response Surface Methodology (RSM), Box-Behnken Designs (BBD), and design of experiment (DOE) for process optimization will be adopted in this study. The results clearly demonstrate that high-pressure homogenization pre-treatment can effectively disrupt microalga cell walls to enhance lipid recovery efficiency, with a relatively short extraction time, both that are essential for maintaining a good quality of lipids for biofuel production. A maximum of 18% lipid yields were obtained after 3 h of HPH pre-treatment at 3000 psi.
Prescription Non-steroidal Anti-inflammatory Drugs: Pattern and Nephrotoxicity

Background: Non-steroidal anti-inflammatory drugs (NSAIDs) are very common “over-the-counter” commonly abused drugs used in treating fever, pain and inflammatory conditions. They inhibit prostaglandins and can cause kidney disease and hypertension, particularly in stressed states like dehydration and exercises. Objectives: To access prescription pattern and effects of common NSAIDs on the kidneys. Methods: One hundred frequent NSAIDs users (daily use > 4 weeks) and 100 healthy controls, who had no known risk factor for kidney disease and gave consent were recruited. Blood samples for serum electrolytes, urea and creatinine, haemoglobin concentration and urine samples for dip strip, and 24 hour protein were collected and analysed. Results: The mean age of the controls, all NSAIDs users, NSAIDs users without kidney dysfunction (KD) and NSAIDs users with KD were 46.04 + 14.21 years, 46.5 + 14.2 years, 41.84 years + 14.52 yrs and 63.04 + 4.21 years respectively, P=0.03. The mean estimated glomerular filtration rate (eGFR) was significantly lower in frequent NSAIDs users than controls, P<0.001. Ibuprofen was the most nephrotoxic and, nephrotoxicity was positively related to combination therapy (P<0.001) and duration of use (P=0.03). Herbal medicines significantly increased the risk of KD, P=0.01. Predictors of KD were advancing age, longer duration of NSAIDs use, Ibuprofen use and combined NSAIDs. Conclusion: Frequent NSAIDs use, common in Orthopaedic units, could be complicated by kidney dysfunction. Ibuprofen, followed by ketoprofen, was the most nephrotoxic. Observed risk factors for NSAIDs induced nephrotoxicity included advancing age, herbal remedies, Ibuprofen and combination therapy.
Sliding-Mode Synchronization Control of Complex-Valued Inertial Neural Networks With Leakage Delay and Time-Varying Delays

This work explores the synchronization problem of two nonidentical complex-valued inertial neural networks (CVINNs) considering time-varying delays, leakage delay, and external disturbances. The entire analysis does not use reduced-order conversion, nor does it involve the separation of real and imaginary parts, but directly focuses on the original system. First, an integral sliding-mode surface suitable for the system is proposed. Second, the efficient sliding-mode control laws are designed, under which the state trajectories of the closed-loop dynamic error systems can be driven onto the predefined sliding-mode surface in finite time. Then, not requiring the time-varying delays to be differentiable, by constructing innovative Lyapunov–Krasovskii functionals, the synchronization criteria are obtained in the forms of the linear matrix inequality techniques. Eventually, for the systems with different types of activation functions, the corresponding numerical verification and comparison are carried out.
The Relationship between Health Anxiety and Perceived Stress with Moral Distress in Emergency Nurses: The Mediating Role of Distress Tolerance

Background: Nurses in emergency departments are exposed to stress and ethical issues due to the specific nature of their job. Therefore, the aim of the present study was to present a relationship between health anxiety and perceived stress with Moral distress and mediation of turmoil tolerance in emergency department nurses. Methods: This descriptive correlational study was performed on 230 emergency nurses in Tehran in 1399 using available sampling method. In this study, the Cohen, Kamark and Marmelstein (1983) Perceived Stress Questionnaire, Salkowski and Warwick (2002), Simmons and Gahr (2005) Perturbation Tolerance, and Jamton's Moral Perturbation Questionnaire were used. Data analysis was performed by path analysis using SPSS-24 and Amos-24 software. Results: The findings of the study showed that perceived stress (t = 5.58) and health anxiety (t = 7.1) had a positive and direct effect on Moral distress and distress Tolerance(t = 8.33) on Moral distress. The effect is negative and direct (P <0.01). The results also showed that disturbance tolerance has a mediating role in the relationship between perceived fear and health anxiety with moral distress (P <0.01). Conclusion: distress Tolerance mediates the relationship between perceived stress and health anxiety with Moral distress. The findings of this study can be used to improve the degree of distress Tolerance and improve the level of work ethic and reduce the Moral distress of emergency department nurses.
No Laughing Matter: Exploring the Effects of Scientists’ Humor Use on Twitter and the Moderating Role of Superiority

This study explores the effects of two humor styles—pure humor and satire—on audiences’ Twitter engagement intentions as well as their attitudes toward mRNA Covid-19 vaccines. In an online between-subjects experiment (N = 484), these styles were embedded within a scientist’s tweet about the vaccines. The results showed that, compared to a no humor tweet, both pure humor and satire increased audience’s expectancy violation, subsequently decreasing both outcomes. Superiority as an individual trait also moderated the relationship between humor styles and both expectancy violation and Twitter engagement. These findings broaden our understanding of different humor styles in science communication on Twitter.
Distribution and Logistics Tools a Process Management Case Study

The main idea of this case study is to understand what is the key ingredient for a just-in-time supply chain and compare the effectiveness of pull and push tools, introducing Kanban system in the process. The methodology used was the analysis of a case study article and a thesis case study of a company in the distribution sector that was optimized in September 2014 with the title “Just in Time Order Cycle Optimization (JIT): A logistical case study”. During our analysis, we highlighted some important aspects for the distribution sector, in this case, with the clear objective of achieving, in the JIT process, the complete elimination of losses, which always occur in a production process. For this, we check the Pull and Push processes as a way of trying to reach this end. For the company, given the number of stores and geographic dispersion, we clearly identified that the KANBAN system is capable of promoting the best experience both at the group level and in terms of customer satisfaction. The Kanban system provides great results when the production flow is distributed over time and in an organized manner, but always in short and quick interventions, but it is not always the most efficient when considering high demand volatility.