Miracle-dz/UniFAR-FTUs huggingface dataset:
ETHNOBOTANICAL SIGNIFICANCE OF PLANTS REFERRED IN HOLY BIBLE FOUND IN THE AGASTHIAMALAI RANGE, THE TAIL END OF WESTERN GHATS

An ethnobotanical study of holy plants found in the Bible from the Agasthiamalai region of Western Ghats. A total of 39 plant species were selected belong to 27 families were recorded. The species are distributed with in different life forms. Herb (37%), shrubs (17%), trees (32%),Aquatic herb, Annuals, grass, and climbing shrubs are (3%) equally and climbing herb (1%). The sacred plants and parts of plants utilized thereof are categorized on the basis of their socio-cultural perspective. Traditionally various parts of plants such as leaves(9sps.),seed(12sps), fruit(7sps),whole plant (6sps), bark (4sps), flower 4sps), bulb (3sps), wood (2sps) and gum, resin, oil, cotton, stem, and roots are equally (1sps) are used in religious and traditional resources. The study also contributed to the ethnomedicinal uses of such plants in the study area. We collected the idea from the priest for various denominations of Christian communities.
Optimal management in Pinus pinea L. stands combining silvicultural schedules for timber and cone production

This work aimed to tackle a timber harvest scheduling problem by simultaneously integrating into the analysis two forestry products derived from the same species: the timber and the pine nut. For this purpose, three management scenarios were proposed: two in which each of the productions is maximised separately, and a third mixed where, in each management unit, the product to which the silvicultural effort should be devoted is decided. After defining a set of objectives, and optimising the rotation length, a multi-criteria model based on goal programming was considered since no feasible solutions have been obtained when employing linear programming. The results in our case study show how the feasible solutions reached can be more attractive for the manager. Specifically, the area to be devoted to timber and cone/pine-nut production was computed in a scenario where the optimal silviculture (oriented towards timber or pine nuts) in each stand was selected, and it was concluded that the area allocated to pine nuts should be notably greater. This situation is the opposite of the current management.
Microbial screening of copolymers of 2,4-dichlorophenyl methacrylate with N-vinylpyrrolidone: synthesis and characterization

Copolymers of 2,4-dichlorophenyl methacrylate and hydrophilic monomer (N-vinylpyrrolidone) were synthesized with different feed ratios using dimethylformamide as solvent and 2,2′-azobisisobutyronitrile as initiator at 70 °C. The copolymers were characterized by IR spectrometry. Copolymer compositions were determined by UV spectrometry. The monomer reactivity ratios were determined by applying the conventional linearization method of Fineman-Ross. Gel permeation chromatography was employed for determining molecular weights and polydispersity indexes. Thermogravimetric analyses of polymers were carried out in nitrogen atmosphere. Homo- and copolymers were tested for their antimicrobial properties against selected microorganisms. © 2003 Society of Chemical Industry
Exogenous spraying of plant’s resistance inducers improves yield and sugarcane quality

Viana, R. S. , Moreira, B. R. A. , Lisboa, L. A. M. , Figueiredo, P. A. M. , Ramos, S. B. , Ramos, S. B. , Dias, G. H. O. , Moreira, L. C. , Spotoni, M. T. , & Recco, C. R. S. B. (2019). Exogenous spraying of plant’s resistance inducers improves yield and sugarcane quality. Bulgarian Journal of Agricultural Science, 25(5), 833–844 Sugarcane crop is important to sugar-energy industry. Thus, the aim of this study was to evaluate yield and technological quality of Sugarcane juice obtained from the SP81-3250 variety following exogenous spraying of resistance inducers. The experiment consisted of a randomized block design with four replicates per treatment: salicylic acid (0, 5, 10, 20, and 40 μM) and acibenzolar-S-methyl (0, 0.2, 0.4, 0.8 and 1.6 g 100 L-1). The resistance inducers were sprayed using CO2-pressurized sprayer. Sugarcane tillage was harvested thirty-days after the spraying of resistance inducers and stalks were milled for juice samples extraction, in which were evaluated the following parameters: °Brix, Pol, purity, reducing sugars (RS), total reducing sugars (TRS), theoretical sugar recoverable (TSR), fi bres and yields of sugar and stalks. Obtained data was submitted to following statistical tests (P < 0.05): Shapiro-Wilk’s normality, Fisher’s variance, regression, and Pearson’s linear correlation. Results showed that quadratic trends rejected null hypothesis for almost all parameters. Salicylic acid levels till 10 μM increased °Brix, Pol, purity, TRS, TSR contents and sugar and stalks yield. However, 20 and 40 μM showed negative effects on juice technological quality and agronomic performance. Therefore, the elicitors improved photosynthetic characteristics and sugarcane physiological maturation. It was concluded that salicylic acid and acibenzolar-S-methyl levels till 10 μM and 0.8 g 100 L-1, respectively, are recommendable to management of SP81-3250 variety.
Mathematical analysis of mosquito population global dynamics using delayed-logistic growth

Malaria is a major public health issue in many parts of the world, and the anopheles mosquitoes which drive transmission are key targets for interventions. Consequently, a best understanding of mosquito populations dynamics is necessary in the fight against the disease. Hence, in this paper we propose a delayed mathematical model of the life cycle of anopheles mosquitoes by using delayed-logistic population growth. The model is formulated by inserting the time delay into the logistic population growth rate, that accounts for the period of growth from eggs to the last aquatic stage, which is pupae. Depending on the system parameters, we establish a threshold for survival and extinction of the anopheles mosquitoes population. Moreover, by choosing the time delay as a bifurcation parameter, we prove that the system loses its stability and a Hopf bifurcation occurs when time delay passes through some critical values. Finally, we perform some numerical simulations and the results are well in keeping with the analytical analysis.
Local and Remote Influences on the Heat Content of Southern Ocean Mode Water Formation Regions

The Southern Ocean (SO) is a crucial region for the global ocean uptake of heat and carbon. There are large uncertainties in the observations of fluxes of heat and carbon between the atmosphere and the ocean mixed layer, which lead to large uncertainties in the amount entering into the global overturning circulation. In order to better understand where and when fluxes of heat and momentum have the largest impact on near-surface heat content, we use an adjoint model to calculate the linear sensitivities of heat content in SO mode water formation regions (MWFRs) to surface fluxes. We find that the heat content of these regions is, in all three basins, most sensitive to same-winter, local heat fluxes, and to The largest sensitivities in both cases were over source regions as well as in boundary current regions, across the Southern ACC, and in the sub-tropical gyres. Our results suggest a rich range of possible dynamic pathways can influence the heat content of the MWFRs, which extends widely the regions where accurate
THE INDUCED MUTAGENIC EFFECT OF ETHYL METHANE SULPHONATE ON YIELD CONTRIBUTING CHARACTERS IN PSOPHOCARPUS TETRAGONOLOBUS (L.) DC

Psophocarpus tetragonolobus (L.) DC. , commonly known as winged bean has been described as a wonder legume in the sense that virtually every part of the plant is edible and comprises a rich source of good quality protein. The present investigation was carried out to find out the effect of chemical mutagen such as Ethyl Methane Sulphonate (EMS) in M2 and M3 generations on yield contributing traits of winged bean. The different characters studied related to yield includes; number of pods per plant, pod length, number of seeds per pod and hundred seed weight. The mutagen EMS have shown negative and positive shifts in mean values for yield contributing traits. The present investigation therefore, has provided significant base for selection and improvement of winged bean for yield contributing traits.
Edinburgh Research Explorer The Southeast Asian haze

Haze continues to affect the Southeast Asian region and causes a significant deterioration in air quality. The palm oil industry is blamed for causing the haze and is urged by stakeholders to improve its accountability and transparency. Despite the growing research in environmental accountability and transparency, to the best of our knowledge, none has scrutinised stakeholders’ perspectives in relation to environmental disclosure by this controversial industry. This study aims to investigate stakeholders’ needs and expectations regarding environmental disclosure by palm oil companies, and to examine the quality of disclosure and its impact on firm performance. This study conducted semi-structured interviews to ascertain stakeholders’ needs and expectations regarding palm oil companies’ environmental disclosure. Then, content analysis of 2013–2017 annual reports of publicly listed palm oil companies was undertaken to examine the quality of disclosures. Finally, the impact of environmental disclosure on firm performance was tested using a panel data approach. One of the novel contributions from this study is the identification of an additional environmental indicator requested by stakeholders, namely information on location of logging and forest clearance, which has not been previously identified in the literature or by the Global Reporting Initiative. The study also finds that Indonesian plantation companies showed a lack of accountability and transparency in relation to the haze and other environmental issues. Malaysian companies provided slightly better disclosures year by year, indicating improved accountability and transparency. The findings also show that environmental disclosure was associated with better firm performance, but only for Malaysian companies. The Malaysian government should give serious consideration to making environmental disclosure mandatory, not only for the sake of the environment but also for the economic sustainability of the palm oil industry. Disclosure has no association with the performance of Indonesian companies, and further research should seek to identify alternative actions to improve stakeholder confidence in the Indonesian palm oil industry.
CORRUPTION AND ECONOMIC GROWTH IN TUNISIA: DIRECT OR INDIRECT EFFECTS?

In the post 2011 revolutionary period, Tunisia was engaged in a strategy of development despite the significant difficulties caused by economic growth and chronic corruption. In fact, an increased effectiveness of the said strategy thus calls for a better understanding of this impediment to the development characterized by corruption, in particular in terms of its implications for economic growth. The purpose of this study is therefore to perform an empirical analysis of the effects of corruption on economic growth in Tunisia. As part of formalization inspired by the theory of endogenous growth, and the time series data from BM and ICRG scores over the 1988/2017 period, using a error-correcting model, we estimated the different modalities of the effects of corruption on economic growth. In fact, the obtained results confirm the long-term existence of a direct negative relationship between corruption and economic growth, which implies that an increase of the level of corruption leads to a reduction of GDP. On the other hand, the estimates also revealed that, in the long term, corruption indirectly affects economic growth through different channels, namely the private capital stock, total public expenditure, and the number of students enrolled in primary schools. Our results also showed that corruption has no effect on economic growth in the short term, both directly and indirectly.
The Impact of Location on Healthcare Access for Individuals with Disabilities

Part of the American Politics Commons, Community Health and Preventive Medicine Commons, Disability Studies Commons, Health Policy Commons, Health Psychology Commons, Inequality and Stratification Commons, International Public Health Commons, Politics and Social Change Commons, Public Health Education and Promotion Commons, Rural Sociology Commons, Transportation Commons, and the Women's Health Commons
Strategic reactions to information content of dividend change: applying BCG growth share matrix when signalling hypothesis identified

The signaling hypothesis has been vastly under investigation for many years. There are two attitudes towards this phenomenon; some believe that firms increase (decrease) their dividend to signal about the future increases in earnings due to asymmetric information that managers have. Adversely, others believe that firms usually increase their dividends when they do not have further lucrative projects with positive net present values. Although there is a lot of empirical testing about this hypothesis that has been placed, there is no investigation about agency costs and cheating potential signaling hypothesis can provide for managers to cheat shareowners and market if it happens in the stock market. Through this article, we will test the signaling hypothesis for the firms listed in Tehran Stock Exchange, a rather volatile emerging market. We concluded that while dividend increases have no significant information content about future earnings, dividend decreases have meaningful information content about decreasing earning in the future. We use different scenarios that managers can react if the signaling hypothesis occurs and analyze the agency cost these scenarios bear on shareowners.
STUDY OF RHEOLOGICAL AND SENSORY PROPERTIES OF SOFT WHEAT (TRITICUM AESTIVUM) AND GERMINATED PRODUCTS

This study included the germination process of the soft wheat (Triticum aestivum) and the study of its Rheological and sensory properties. The wheat grains were soaked, germinated, dried, milled then sifted to separate the bran from the flour, where the soft wheat flour was used to prepare laboratory loaf bread and Rakak bread. Furthermore, the Rheological properties water absorption ratio, maturity period, and stability period were estimated by Farinograph device in the germinated soft wheat flour amounted to (54, 1.7 and 1.2), respectively, compared to soft wheat flour (65.8, 3.7 and 3.4), respectively. While the Rheological properties for three rest periods (90, 45 and 135) minutes were estimated by Extensograph, where the unit area in the germinated soft wheat flour was (18, 21 and 22) cm2, compared to soft wheat flour that reached (35, 22 and 13) cm2. The extensibility proportion was (91, 103 and 90) mm, while soft wheat flour reached (178, 174 and 143) mm. Moreover, the extension resistance in the germinated soft wheat flour was reached to (97, 116, 154) B.U and in soft wheat flour was (122, 82, 60) B.U. Other properties measured was the falling number, where it reached 62 seconds, while in the soft wheat flour reached to 403 seconds. Finally, the sensory evaluation results of the laboratory loaf test of the germinated wheat flour the final total reached 79.40 degree out of a total of 100 degree, while in Rakak bread the germinated soft flour wheat reached 28.30 out of 40 degrees.
Spin-$\frac{1}{2}$ kagome Heisenberg antiferromagnet with strong breathing anisotropy

We study the zero-temperature phase diagram of the spin-1/2 Heisenberg model with breathing anisotropy (i.e., with different coupling strength on the upward and downward triangles) on the kagome lattice. Our study relies on large scale tensor network simulations based on infinite projected entangled-pair state and infinite projected entangled-simplex state methods adapted to the kagome lattice. Our energy analysis suggests that the U(1) algebraic quantum spin-liquid (QSL) ground-state of the isotropic Heisenberg model is stable up to very large breathing anisotropy until it breaks down to a critical lattice-nematic phase that breaks rotational symmetry in real space through a first-order quantum phase transition. Our results also provide further insight into the recent experiment on vanadium oxyfluoride compounds which has been shown to be relevant platforms for realizing QSL in the presence of breathing anisotropy.
Graph Convolutional Neural Networks and Applications in Bioinformatics

Deep learning has achieved great progress in speech recognition, machine translation and image processing. In other applications, however, we often have to work with signals defined on graphs rather than grids. Recently there has been a lot of interest in trying to apply deep learning to graph-based data, as models of this kind can capture the interactions between components in real-world networks. In this work, I propose a method that addresses the task of node classification and link prediction on graphs. I use a variational autoencoder with different graph convolutional layers, including a novel layer design based on the Lanczos algorithm. I chose the particular tasks from the open challenges in bioinformatics. First I solve the problem of node classification and link prediction on large graphs. In this case, training in batches is inevitable, but requires a non-trivial method due to the connected data structure. I manage to cut the graphs into random batches inspired by Cluster-GCN. Next I perform gene ontology classification based on the protein-protein interaction networks of STRING. Here the measured networks form a multigraph, a scenario not yet explored from the perspective of graph convolutions. I demonstrate that the autoencoder not only reconstructs the multigraph, but the latent variables are powerful predictors of gene ontologies. Finally, I attempt to predict disease-gene interactions based on the DisGeNet knowledge platform. I hypothesise that links not present in the original dataset but reconstructed by the autoencoder are newly discovered connections between diseases and genes. I also look for evidence in the literature to reinforce my hypothesis. The evaluation confirms that by applying graph convolutions, we can accomplish the most important graph-related modeling tasks, and the proposed architecture is able to provide state-of-the-art results.
Pre-stimulus low-alpha frontal networks characterize pareidolias in Parkinson's disease

Parkinson's disease (PD) patients susceptible to visual hallucinations experience perceptual deficits in the form of pareidolias. While pareidolias necessitate top-down modulation of visual processing, the cortical dynamics of internally generated perceptual priors on pareidolic misperceptions is unknown. To study pre-stimulus related EEG spectral and network abnormalities in PD patients experiencing pareidolias. 21 PD in-patients and 10 age-matched healthy controls were evaluated. Neuropsychological assessments included tests for cognition, attention and executive functions. To evoke and quantify pareidolias, participants performed the noise pareidolia test (NPT) with simultaneous EEG recording. PD patients were sub-divided into two groups - those with high pareidolia counts (N=10) and those without (N=11). EEG was analyzed 1000ms before stimulus presentation in the spectral domain (theta, low-alpha and high-alpha frequencies) with corresponding graph networks that evaluated small-world properties, efficiency and centrality measures. Statistical analysis included ANCOVA and multiple regression to evaluate the differences. PD group with high pareidolias were older with lower scores on neuropsychological tests. Their pre-stimulus EEG low-alpha band showed a tendency towards higher frontal activity (p=0.06). Graph networks showed increased normalized clustering coefficient (p=0.05), higher local parietal cortex efficiency (p=0.049) and lower frontal degree centrality (p=0.005). These network indices correlated positively to patients' pareidolia scores. Pareidolias in PD are a consequence of an abnormal top-down modulation of visual processing which are defined by their frontal low-alpha spectral and network alterations in the pre-stimulus phase due to a dissonance between patients' internally generated mental-processing with external stimuli.
The trade-off between mobility and vaccination for COVID-19 control: a metapopulation modeling approach

November 2020 received a string of encouraging results from leading vaccine developers raising hopes for the imminent availability of an effective and safe vaccine against the SARS-CoV-2. In the present work, we discuss the theoretical impact of introducing a vaccine across a range of scenarios . In particular, we investigate how vaccination coverage, efficacy, and delivery time affect the control of the transmission dynamics in comparison to mobility restrictions. The analysis is based on a metapopulation epidemic model structured by risk. We perform a global sensitivity analysis using the Sobol method. Our analysis suggest that the reduction of mobility among patches play a significant role in the mitigation of the disease close to the effect of immunization coverage of 30% achieved in 4 months. Moreover, for an immunization coverage between 20%-50% achieved in the first half of 2021 with a vaccine efficacy between 70%-95%, the percentage reduction in the total number of SARS-CoV-2 infections is between 30%-50% by the end of 2021 in comparison with the no vaccination scenario.
The acute effects of aerobic exercise on sensorimotor adaptation in chronic stroke

Sensorimotor adaptation, or the capacity to adapt movement to changes in the moving body or environment, is a form of motor learning that is important for functional independence (e.g., regaining stability after slips or trips). Aerobic exercise can acutely improve many forms of motor learning in healthy adults. It is not known, however, whether acute aerobic exercise has similar positive effects on sensorimotor adaptation in stroke survivors as it does in healthy individuals. Purpose: The aim of this study was to determine whether acute aerobic exercise promotes sensorimotor adaptation in people post stroke. Methods: A single-blinded crossover study. Participants attended two separate sessions at the university campus, completing an aerobic exercise intervention in one session and a resting control condition in the other session. Sensorimotor adaptation was assessed before and after each session. Participants were twenty people with chronic stroke. Intervention completed was treadmill exercise at mod-high intensity for 30 minutes. Results: Results demonstrated that acute aerobic exercise in chronic stroke survivors significantly increased sensorimotor adaptation from pre to post treadmill intervention. Conclusion: These results indicate a potential role for aerobic exercise to promote the recovery of sensorimotor function in chronic stroke survivors. Keywords: sensorimotor adaptation, aerobic exercise, stroke