Miracle-dz/UniFAR-FTUs huggingface dataset:
Peroxidase Isozyme Activity in Parsley and Celery Using Efficient Microbes, Kitchen
Wastes and Other Combinations of Bio and Organic Fertilizers

Pot experiments were carried out in the greenhouse at the faculty of Agriculture (Saba Basha), Alexandria University, Egypt, in 2017/2018 season to estimate the response of parsley (Petroselinum crispum Mill) and celery [(Apium graveolens L.) Balady sp. ] to different combinations of bio and organic fertilizers i.e. [1-Chicken manure, 2(Kitchen wastes + LAB (lactobacillus spp.), 3(Peat moss+ Yeast + Molasses), 4-Seaweed algae, 5plant compost, and 6Control NPK ] on seed germination period, percentage and vegetative growth characters. A completely randomized block design with four replicates for each of them were carried out. According to the results, vegetative growth parameters, shoot length (cm), shoot and root fresh and dry weight, and concentrations of N, P, K, Zn, Mn and Fe in parsley and celery leaves significantly increased by the application of Chicken manure, (Kitchen wastes + LAB), (peat moss +Yeast+ Molasses), Seaweed algae and plant compost treatments, gave the highest mean values of the given characters, meanwhile the control treatment gave the lowest mean values. Also, these combinations of bio and organic fertilizers reduced the long time of seed germination period and increased seed germination percentages of parsley and celery. Isozyme analysis discussed the performance of peroxidase activities on two types of leafy vegetables mentioned above. The results showed that the banding pattern activity of the treatment (A-1, 2 and 3), displayed a unique marker bands at four loci (Px.C1and Px.C2) and (Px.A1and Px.A2 loci) are polymorphic specifically to parsley plant. In the same trend the treatment (B-1, 2 and 3) can be conducted that the peroxidase patterns in celery plant leaves showed in total of four loci (Px.C1, Px. C2, Px. A1 and Px.A2). Therefore, the best treatments were detected in parsley and celery when treated with Chicken manure, (Kitchen wastes + LAB), (Peat moss+ Yeast + Molasses) and seaweed algae to obtain healthy and safety food.
The Lord of the Ring Road: A Review and Evaluation of Autonomous Control Policies for Traffic in a Ring Road

This study focuses on the comprehensive investigation of stop-and-go waves appearing in closed-circuit ring road traffic wherein we evaluate various longitudinal dynamical models for vehicles. It is known that the behavior of human-driven vehicles, with other traffic elements such as density held constant, could stimulate stop-and-go waves, which do not dissipate on the circuit ring road. Stop-and-go waves can be dissipated by adding automated vehicles (AVs) to the ring. Thorough investigations of the performance of AV longitudinal control algorithms were carried out in Flow, which is an integrated platform for reinforcement learning on traffic control. Ten AV algorithms presented in the literature are evaluated. For each AV algorithm, experiments are carried out by varying distributions and penetration rates of AVs. Two different distributions of AVs are studied. For the first distribution scenario, AVs are placed consecutively. Penetration rates are varied from 1 AV (5%) to all AVs (100%). For the second distribution scenario, AVs are placed with even distribution of human-driven vehicles in between any two AVs. In this scenario, penetration rates are varied from 2 AVs (10%) to 11 AVs (50%). Multiple runs (10 runs) are simulated to average out the randomness in the results. From more than 3,000 simulation experiments, we investigated how AV algorithms perform differently with varying distributions and penetration rates while all AV algorithms remained fixed under all distributions and penetration rates. Time to stabilize, maximum headway, vehicle miles traveled, and fuel economy are used to evaluate their performance. Using these metrics, we find that the traffic condition improvement is not necessarily dependent on the distribution for most of the AV controllers, particularly when no cooperation among AVs is considered. Traffic condition is generally improved with a higher AV penetration rate with only one of the AV algorithms showing a contrary trend. Among all AV algorithms in this study, the reinforcement learning controller shows the most consistent improvement under all distributions and penetration rates.
Discrimination of 11 Malaysian Durian Cultivars Based on Sulfur-Containing Volatiles and Esters Using Multivariate Data Analysis

There are reports documenting the volatile oils of several durian cultivars in Malaysia. However, there is limited information on the rapid discrimination of the durian cultivars based on the composition of the total volatiles and individual volatile compounds. Thus, the present work aims to discriminate 11 Malaysian durian cultivars based on their volatile compositions using multivariate data analysis. Sulfur-containing volatiles are the major volatiles in D175 (Udang Merah), D88 (Darling), D13 (Golden Bun), DXO (D24 Special), D17 (Green Bamboo), D2 (Dato Nina), and D168 (Hajah Hasmah) durian cultivars, while esters are predominant in D99 (Kop Kecil), D24 (Bukit Merah), and D160 (Musang Queen) durian cultivars. D197 (Musang King) cultivar has an almost equal composition of sulfur-containing volatiles and esters. In the ester predominated volatile durian oil, ethyl 2-methylbutanoate and propyl 2-methylbutanoate are the major volatile compounds, while the durian cultivars with predominant sulfur-containing volatiles mainly contain diethyl disulfide, diethyl trisulfide, and 3,5-dimethyl-1,2,4-trithiolane. The durian cultivars were clustered into 8 clusters using principal component analysis, with 3 clusters consisting of 2 cultivars, and with the remaining cultivars clustered individually. The highly sought-after durian cultivars, D160 and D197, were clustered into one. Hierarchal clustering analysis identified the distinct compounds which discriminate every durian cultivar.
Three-Dimensional Finite Element Analysis of Different Connector Designs for All-Ceramic Implant-Supported Fixed Dental Prostheses

All-ceramic fixed dental prostheses (FDPs) tend to fracture at the connector regions due to high stress concentration at these areas influenced by their design. This study was performed as an adjunct to an existing clinical study to evaluate the influence of the different radii of curvature of gingival embrasure on the stress distribution of a three-unit all-ceramic implanted supported FDP. Three three-dimensional (3D) models were created by scanning two titanium dental implants, their suitable zirconia abutments, and a patient-retrieved dental prosthesis using a micro-CT scanner. The radius of curvature of the gingival embrasure for the distal connector of the FDP was altered to measure 0.25 mm, 0.50 mm, and 0.75 mm. A finite element analysis (FEA) software (ABAQUS) was used to evaluate the impact of different connector designs on the distribution of stresses. Maximum Principal Stress data was collected from the individual components (veneer, framework, and abutments). The radius of curvature of gingival embrasure had a significant influence on the stress distribution at the assessed components. The tensile peak stresses at all structures were highest in the 0.25 mm model, while the 0.50 mm and 0.75 mm models presented similar values and more uniform stress distribution.
Towards Adaptive Gamification: A Method Using Dynamic Player Profile and a Case Study

The design of gamified experiences following the one-fits-all approach uses the same game elements for all users participating in the experience. The alternative is adaptive gamification, which considers that users have different playing motivations. Some adaptive approaches use a (static) player profile gathered at the beginning of the experience; thus, the user experience fits this player profile uncovered through the use of a player type questionnaire. This paper presents a dynamic adaptive method which takes players’ profiles as initial information and also considers how these profiles change over time based on users’ interactions and opinions. Then, the users are provided with a personalized experience through the use of game elements that correspond to their dynamic playing profile. We describe a case study in the educational context, a course integrated on Nanomoocs, a massive open online course (MOOC) platform. We also present a preliminary evaluation of the approach by means of a simulator with bots that yields promising results when compared to baseline methods. The bots simulate different types of users, not so much to evaluate the effects of gamification (i.e., the completion rate), but to validate the convergence and validity of our method. The results show that our method achieves a low error considering both situations: when the user accurately (Err = 0.0070) and inaccurately (Err = 0.0243) answers the player type questionnaire.
Design and application of a sparse GMDH‐PID controller

The database‐driven PID (DD‐PID) controller is an effective nonlinear PID controller design method; however, some electrical control units in industrial systems cannot implement its algorithm because the DD‐PID control scheme requires a large memory capacity and a high‐performance processor. In this article, to solve this problem, a group method of data handling PID (GMDH‐PID) controller is proposed that approximately expresses the behavior of the DD‐PID controller by combinations of simple nonlinear functions. Although this method can reduce the amount of memory capacity and computing power required, the coefficients in each nonlinear function calculated by the least squares method (LSM) may not be stable because of the multicollinearity of the input signals. In this study, instead of LSM, the least absolute shrinkage and selection operator, which is a sparse modeling method, was employed as a coefficient calculation method of the GMDH, in which some coefficients can be calculated as zero in order to avoid the influence of multicollinearity. The effectiveness of the proposed method was evaluated by simulation and experimental testing.
New records in non-native vascular plants of Russian Lapland

Abstract Background The non-native vascular plants of Murmansk Region (European Russia) are under active investigation towards the compilation of the first complete checklist. This work is part of the project 'Flora of Russian Lapland', which ultimately aims at the complete inventory of the taxonomy, distribution and status of vascular plant species in Murmansk Region, based on the comprehensive database of herbarium specimens, field observations and literature. New information New territory-level records of non-native vascular plants emerged during our inventory of herbarium collections and recent fieldwork. Fourteen species (Anthemisruthenica, Aruncusdioicus, Bromuscommutatus, Chaerophyllumhirsutum, Galegaorientalis, Geumaleppicum, Leonurusquinquelobatus, Lepidiumdensiflorum, Levisticumofficinale, Myrrhisodorata, Phleumphleoides, Prunusarmeniaca, Rorippasylvestris, Seneciovernalis) are reported as new to Murmansk Region. The historical occurrences of alien plants appeared in the territory largely as contaminants (of seed or forage). In particular, Rorippasylvestris and Seneciovernalis arrived with the forage imported during the Second World War. All recent occurrences originated by escape from confinement (ornamental purposes, horticulture, agriculture), reflecting a high diversity of the modern assortment of cultivated plants in commerce and private gardens. Regarding the invasion status, five alien species are considered casual and eight species are treated as locally established or persisting (for uncertain time). Only one species, Galegaorientalis, is considered naturalised and capable of further spreading in the territory, although without invasive potential.
RhoGDI2-Mediated Rac1 Recruitment to Filamin A Enhances Rac1 Activity and Promotes Invasive Abilities of Gastric Cancer Cells

Simple Summary Rho GDP dissociation inhibitor 2 (RhoGDI2), a regulator of Rho family GTPase, has been known to promote tumor growth and malignant progression by activating Rac1 in gastric cancer. However, the precise molecular mechanism by which RhoGDI2 activates Rac1 in gastric cancer cells remains unclear. In this study, we found that interaction between RhoGDI2 and Rac1 is a prerequisite for the recruitment of Rac1 to Filamin A. Moreover, we found that Filamin A acts as a scaffold protein that mediates Rac1 activation. Furthermore, we found that Trio, a Rac1-specific GEF, is critical for Rac1 activation in gastric cancer cells. Conclusively, RhoGDI2 increases Rac1 activity by recruiting Rac1 to Filamin A and enhancing the interaction between Rac1 and Trio, which is critical for invasive ability of gastric cancer cells. Our findings suggest that RhoGDI2 might be a potential therapeutic target for reducing gastric cancer cell metastasis. Abstract Rho GDP dissociation inhibitor 2 (RhoGDI2), a regulator of Rho family GTPase, has been known to promote tumor growth and malignant progression in gastric cancer. We previously showed that RhoGDI2 positively regulates Rac1 activity and Rac1 activation is critical for RhoGDI2-induced gastric cancer cell invasion. In this study, to identify the precise molecular mechanism by which RhoGDI2 activates Rac1 activity, we performed two-hybrid screenings using yeast and found that RhoGDI2 plays an important role in the interaction between Rac1, Filamin A and Rac1 activation in gastric cancer cells. Moreover, we found that Filamin A is required for Rac1 activation and the invasive ability of gastric cancer cells. Depletion of Filamin A expression markedly reduced Rac1 activity in RhoGDI2-expressing gastric cancer cells. The migration and invasion ability of RhoGDI2-expressing gastric cancer cells also substantially decreased when Filamin A expression was depleted. Furthermore, we found that Trio, a Rac1-specific guanine nucleotide exchange factor (GEF), is critical for Rac1 activation and the invasive ability of gastric cancer cells. Therefore, we conclude that RhoGDI2 increases Rac1 activity by recruiting Rac1 to Filamin A and enhancing the interaction between Rac1 and Trio, which is critical for the invasive ability of gastric cancer cells.
A novel magnetorheological valve with meandering flow path structure

The development of a new Magnetorheological (MR) valve with meandering flow path as a new approach to improve the MR valve performance is presented in this research. The meandering flow path was formed by the arrangement of multiple annular and radial channel so that the total effective area in an MR valve can be increased without compromising the size and power requirement of the valve. The main objective of this research is to explore the achievable pressure drop of the MR valve with meandering flow path. This research was started with the concept development where the meandering flow path structure is analytically modeled and numerically simulated to predict and analyze the effect of variables involved. The prediction results showed that the meandering flow path structure is able to increase the achievable pressure drop of an MR valve significantly. The gap size analysis showed that the size of annular gaps mainly contributed to determine the viscous pressure drop component. Meanwhile, the field-dependent pressure drops were mainly determined by the size of radial gaps. The prediction results of the concept was also assessed and confirmed by the experimental work using a dynamic test machine. Based on the experimental data, two hysteresis models, namely the polynomial model and the modified LuGre model, were developed to model the hysteresis behavior. The assessment results of the hysteresis models indicated that both model were able to replicate the hysteresis behavior. However, the modified LuGre model, though 9.5% less accurate than the polynomial model, was showing better consistency in a wider range of input values. In general, the new concept contributes in the development of a new type of MR valve that could achieve pressure drop nearly three times than the annular, radial and annular-radial type MR valve
Determinants of financial performance in Albanian economic entities, case of construction industry in Albania

Financial performance mainly reflects the overall financial health of the business sector over a period of time. It shows how well an entity is using its resources to maximize shareholder’s wealth. Although a thorough assessment of a firm's financial performance takes into account many other measures, the most common performance measurement used in the area of finance are financial ratios. This paper provides a comprehensive study of the financial performance measurement literature related to the construction sector in Albania. The literature covers studies from Albania, Iran, India and Pakistan, but some international evidence has also been presented. The construction sector is chosen because of its impact on economic growth in Albania, it represents the second main sector according to its share effect on Albanian GDP. The financial ratios used to measure the financial performance of the construction sector are the debt ratio, the liquidity ratio and the profitability ratio from the period 2018-2020 for 100 construction companies in Albania. Return on Assets (ROA) is taken as the predictor variable and three financial ratios are taken as the predictive variables. This research reveals that the financial ratios have positive correlation with the dependent variable whereas the leverage ratio has negative correlation. To overcome the limitations of the forthcoming studies, the considered number of years need to be increased and other models such as Market Value Added, Capital Asset Pricing Model and Economic Value Added can be used to be tested for research to analyze other factors that may affect financial performance.
The Mediating Role of Age Productivity on Human Resources Development, Health Infrastructure, and Proverty Level

Poverty is a classic problem in many regions in Indonesia, including the Bengkulu Province. There are several causes of poverty case in Bengkulu, three of which are low human resources, inadequate rural health infrastructure, and less productive population with productive working age. The purpose of the study is to examine 1) the influence of human resources management, health infrastructure, and productive age partially on poverty in Bengkulu Province, and 2) the influence of human resources, health infrastructure respectively through mediation of productive age on poverty in Bengkulu Province. This study uses a quantitative descriptive approach using secondary data. The research population is all districts/cities in Bengkulu Province totalling 9 districts and 1 city in 2010 – 2019. This study uses saturated sampling. The data was then processed and analyzed using SEM-PLS. The results of the study show that human resources proxied by the Human Development Index (HDI) had a positive effect on the poverty level, health infrastructure had no effect on the poverty level, productive age had no effect on the poverty level, productive age was not a mediating variable between resources and the poverty level, so that cannot be used as a mediating variable, and productive age does not mediate the effect of health infrastructure on poverty levels in Bengkulu Province.
Physical Activity and Respiratory Muscle Strength in Patients with Sarcoidosis: An Observational Study

Background The literature results related to the physical assessment in patients with sarcoidosis are contradictory and limited. The objective of this study was to compare the physical activity and respiratory muscle strength of patients at different stages of sarcoidosis. Methods Since 2003, we monitored 386 patients with ILDs, from which 107 patients were with sarcoidosis. Of the 107 patients with sarcoidosis, 57 were included in this study. A matched control group of 50 healthy patients were also included in the study. Kings Sarcoidosis Questionnaire (KSQ), maximal inspiratory/expiratory pressure and 6-minute walking test were recorded. Results We observed significant differences between the exercise capacity of the four sarcoidosis stages, 561.00 (531.00–586.00) vs 557.00 (510.00–599.00) vs 469.00 (430.00–515.00) vs 457.00 (397.00–496.00), independent-samples Kruskal–Wallis H-test H (4107) = 34.757, p < 0.001. Also, we observed significant differences between the exercise capacity of patients with sarcoidosis and healthy controls, 496.00 (437.00–550.00) vs 561.00 (531.00–586.00), Mann–Whitney U-test, p < 0.001. In addition, we observed that patients with sarcoidosis had significantly lower MIP and MEP than healthy controls, 84.00 (79.00–91.00) vs 90.00 (83.00–97.00); p = 0.001, and 85.00 (79.00–89.00) vs 89.00 (85.00–92.00), p < 0.001, respectively. There were significant associations between exercise capacity and KSQ scores, eg, general health (r = 0.206, p = 0.027), lung health (r = 0.280, p = 0.003). Conclusion Patients with different stages of sarcoidosis showed reduced quality of life, exercise capacity and respiratory muscle strength both among themselves and compared to healthy controls.
Evaluation of a Spiritual History with Elderly Multi-Morbid Patients in General Practice—A Mixed-Methods Study within the Project HoPES3

Background: The “Holistic Care Program for Elderly Patients to Integrate Spiritual Needs, Social Activity and Self-Care into Disease Management in Primary Care” (HoPES3) examines the implementation of a spiritual history (SH) as part of a multifaceted intervention in German general practices. While the effectiveness of the interventions was evaluated in a cluster-randomized trial, this article investigates the patients’ views concerning the acceptability of the SH and its effects. Methods: A mixed-methods study was conducted in which 133 patients of the intervention group filled in a standardized questionnaire after the intervention. Later, 29 of these patients took part in qualitative semi-standardized interviews. Results: According to the survey, 63% (n = 77) of patients found the SH helpful. In the interviews, however, many indicated that they either kept the conversation brief or declined the offer to talk about spirituality. Contents of longer conversations referred to difficult life events, personal sources of strength, and experiences with religious institutions. Many patients who had a longer conversation about spirituality reported that their relationship with their general practitioner (GP) had improved. Almost all patients recommended integrating a personal conversation of this kind into primary care. Conclusions: The SH seems to be a possible ‘door opener’ for a trusting doctor-patient relationship, which can then be built upon.
Mass Ratio and Spot Parameter Estimation from Eclipsing Binary Star Light Curves

Eclipsing binary stars have a rich history of contributing to the field of stellar astrophysics. Most of the available information on the fundamental properties of stars has come from the analysis of observations of binaries. The availability of powerful computers and sophisticated codes that apply physical models has resulted in determinations of masses and radii of sufficient accuracy to provide critical tests of theories of stellar structure and evolution. Despite their sophistication, these codes still require the guiding hand of trained scientists to extract reliable information. The computer code will produce results, but it is still imperative for the analyst to ensure that those results make astrophysical sense, and to ascertain their reliability. Care must be taken to ensure that we are asking the codes for parameters for which there is information in the data. The analysis of synthetic observations with simulated observational errors of typical size can provide valuable insight to the analysis process because the parameters used to generate the observations are known. Such observations are herein analyzed to guide the process of determining mass ratios and spot parameters from eclipsing binary light curves. The goal of this paper is to illustrate some of the subtleties that need to be recognized and treated properly when analyzing binary star data.