Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF SPERMINE AND AMINO FERTILIZER ON GROWTH OF WHEAT PLANT UNDER WATER STRESS

This research was spilt-spilt plot experiment was conducted in hoop house to study the effect overlap between of water stress and exogenous of amino fertilizer and spermine on some biochemical attributes of wheat Triticum aestivum L. variety buhooth (22) this experiment was carried out in according to Randomized Complete Block Design (RCBD) the experience included three periods of water stress (3, 7 and 14) day and gave the symbols (D1, D2 and D3) respectively, and four concentrations of amino fertilizer (0, 2, 4 and 8) ml. L-1 and two concentrations of spermine (0 and 1) mM , the fresh leaves was harvested to study some characteristics, including enzymatic antioxidants of superoxide dismutase (SOD), peroxidase (POD) and catalase (CAT) and nutrients (N, P and K) the results showed that when increasing water stress it led to a significant decrease in nutrient concentrations (N, P and K) by (15.94%, 53.12% and 11.24%) respectively, While the effectiveness of enzymes( SOD, POD and CAT) increased significantly with increased water stress (D1 to D3) by (42.75 %, 91.39 % and 69.87%) respectively, The study also showed that foliar spray of amino fertilizer and spermine had a positive effect on a significant effect in reducing the activity of enzymatic antioxidant, While the values of nutrients (N, P and K) increased significantly under water stress. Key world: Spermine, Amino fertilizers, water stress, Enzymatic antioxidants
Characterization of benchmark soil series developed on basalt and limestone parent materials in Hyderabad-Karnataka region

A study was undertaken to characterize the benchmark soil series developed on Basalt (Raichur series) and Limestone (Kagalgomb series) parent materials in Hyderabad-Karnataka region. In Raichur series, the colour varied from dark grey (10YR 4/1) to very dark greyish brown (10YR 3/2) and in Kagalgomb series, very dark greyish brown (10YR 3/2) colour was observed. In Raichur series and Kagalgomb series, texture was clay, bulk density varied from 1.25 to 1.35 Mg m -3 and from 1.20 to 1.32 Mg m, respectively. Water holding capacity of Raichur series ranged from 51.57 to 55.43 per cent whereas in Kagalgomb series it ranged from 49.57 to 55.46 per cent. The pH showed that moderately alkaline (7.88.4) in Raichur series and strongly alkaline (8.7 to 9.2) in Kagalgomb series. Organic carbon content in Raichur series ranged from 0.14 to 0.44 per cent and in Kagalgomb series ranged from 0.26 to 0.93 per cent. Available nitrogen (N) was low (167 to 189 kg ha) in Raichur series and low to medium (246 to 448 kg ha) in Kagalgomb series. Available phosphorus (P2O5) was low to high i.e. 8.90 to 81.75 kg ha in Raichur series and 20.13 to 80.53 kg ha in Kagalgomb series; the available potassium (K2O) content ranged from 450 to 485 kg ha in Raichur series and 395 to 671 kg ha in Kagalgomb series. The DTPA extractable Fe, Cu and Mn were sufficient and Zn was deficient in both the Benchmark soil series.
Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation

One of the main challenges in developing Machine Learning-based solutions for Semiconductor Manufacturing is the high number of machines in the production and their differences, even when considering chambers of the same machine; this poses a challenge in the scalability of Machine Learning-based solutions in this context, since the development of chamber-specific models for all equipment in the fab is unsustainable. In this work, we present a domain adaptation approach for Virtual Metrology (VM), one of the most successful Machine Learning-based technology in this context. The approach provides a common VM model for two identical-in-design chambers whose data follow different distributions. The approach is based on Domain-Adversarial Neural Networks and it has the merit of exploiting raw trace data, avoiding the loss of information that typically affects VM modules based on features. The effectiveness of the approach is demonstrated on real-world Etching.
SELF-DUAL QUIVER MODULI AND COUNTING INVARIANTS

Motivated by the counting of BPS states in string theory with orientifolds, we study moduli spaces of self-dual representations of a quiver with contravariant involution. We develop Hall module techniques to compute the number of points over finite fields in moduli stacks of semistable self-dual representations. Wall-crossing formulas relate these counts for different choices of stability conditions. In particular cases, these formulas model the primitive wall-crossing of orientifold Donaldson-Thomas/BPS invariants suggested in the physics literature. In finite type examples, the wall-crossing can be understood as identities for quantum dilogarithms acting in representations of quantum tori.
Study of morbidity status of school-children from different cultural regions of Punjab, India

The study aimed to assess the morbidity status of school-children (11-17 years) from different cultural regions of Punjab (N=1050); namely, Majha (n=210), Doaba (n=210) and Malwa (n=630). A schoolbased cross-sectional survey was conducted in rural and urban government schools of Punjab, between January and June 2016. Thirty-cluster multistage sampling technique was used. Information on any morbidity suffered by the subjects such as gastrointestinal problems (stomach infections, diarrhea), upper respiratory tract infections (cold, cough, sore throat) and fevers (malaria, typhoid, jaundice), was obtained using a questionnaire. Incidence of upper respiratory tract infections and fevers was found to be highest among children from Doaba region; whereas, stomach infections and diarrhea were more prevalent among children from Malwa region. Overall from Punjab, most of the children had upper respiratory tract infections (66%) followed by fevers and stomach infections (22% each); while, least incidences of diarrhea (18%) were reported. The study emphasized the need to prioritize the assessment of infectious diseases with simultaneous evaluation of different methods of nutritional management, which would prevent the severe morbidity and mortality among children.
Adsorption of Cd2+ and Cu2+ on Ion‐Exchange Beads from Cellulose/Alginic Acid Blend

Abstract Our previous work has proved that mechanical properties of a blending alginate with cellulose was significantly enhanced in a wet state and maintained its biodegradability. In this article, ion‐exchange beads were prepared from cellulose and alginate in 6 wt% NaOH/4 wt% urea aqueous solution by using an emulsion phase separation method. The structure and morphology of the beads were characterized by scanning electron microscope (SEM) and Fourier transform infrared (FTIR) spectra, and the adsorption behaviors to Cd2+ and Cu2+ ions were measured by atomic absorption spectrometry (AAS). The effects of pH, adsorption time, ion concentration, temperature, and reusability of the beads on the adsorbed amount of Cd2+ and Cu2+ ions in aqueous solution were investigated by a batch method. The results indicated that the beads had a spherical shape, with ∼4–20 µm of diameter and relatively high ion‐exchange capacity (3.81 mmol g−1). The combined action of Cd2+ and Cu2+ ions on beads generally was found to be antagonistic. The selectivity of the beads for the adsorption of Cd2+ ions was higher than that of Cu2+ ions. The adsorbed amount was given to a maximum for Cd2+ ions at pH 2.2, and for Cu2+ ions at pH 3.2. The adsorbed amount of the beads reached the values of 0.7 and 0.5 mmol g−1 for Cd2+ and Cu2+ ions, respectively. The beads could be regenerated by using 1 mol L−1 HCl aqueous solution, up to 95% recovery, and the adsorption–desorption cycles, performed over 10 times, maintained the adsorption capacity, indicating a good reusability.
Integration of Physical Simulations in Static Stability Assessments for Pallet Loading in Air Cargo

In the air cargo context, pallet loading faces substantial constraints and item heterogeneity. The stability constraint in the pallet loading problem is highly important due to its impact on the efficiency, security, and resulting costs of an air cargo company. In information systems that support pallet loading, physical simulations provide a realistic approximation of a pallet’s stability. However, current approaches neglect the opportunity to integrate physical simulations in underlying solvers. In this research, we propose and compare two approaches for integrating a physical simulation as a fixed component of the problem-solving heuristic and include irregular shapes. Our results achieve runtimes that meet air cargo requirements; therefore, assumptions about the cargo, e.g., shape assumptions, can be relaxed.
Effect of Short-Term Plyometric Exercises on Element Metabolism in Adolescents

The aim of this study is to examine the effects of short-term plyometric exercises on element metabolism in adolescent males. For this purpose, a total of 24 volunteer men between the ages of 16-18 who do not exercise regularly participated in the study. Before the study, the groups were randomly divided into two groups as control group (n: 12) and exercise group (n: 12). Blood samples were taken from both groups before the study and one day after the end of the study for elemental determination. Sodium, potassium, phosphorus, magnesium, calcium and iron levels were analyzed in blood samples. No application was made to the control group. The individuals in the exercise group were given a 60-minute plyometric exercise program, three days a week for four weeks, with jump intensity varying between 180-270 ground contact. In the findings obtained, calcium and iron levels were found to be significant in favor of the post test in the exercise group (p <0.05). Considering the difference between the groups, a statistically significant difference was found in favor of the exercise group (p <0.05). No significance was found in the control group (p> 0.05). As a result, we can say that plyometric exercises applied for four weeks affect calcium and iron levels in element metabolism.
Effect of moisture stress on Nitrate Reductase Activity (NRA) in PEA (Pisum sativum L.) [C3] and sorghum (Sorghum vulgare Pers.) [C4] plants

Abstract Nitrate reductase activity (NRA) was studied in pea, a C3 plant, and sorghum, a C4 plant, at various stages of growth and development. Influence of moisture stress and nitrogen application was also observed since these factors have profound influence on growth and development. In pea, NRA was maximum at pod maturity stage and minimum at flowering stage. In sorghum plant there was gradual increase in NRA upto grain formation followed by a fall in activity at maturity. Nitrogen treatment as nitrate and ammonia significantly increased nitrate reductase activity over control in both pea and sorghum. Treatment with potassium nitrate was found to stimulate more NRA in pea than with ammonium sulphate. In sorghum, both forms of nitrogen did not differ much in their influence on NRA. Influence of moisture stress in reducing NRA was more clear in sorghum, a C4 plant than in pea, a C3 plant. In general, control plants recorded low NRA in both the crops when compared to nitrogen treated plants except at pod .
Wadge, Matthew D. and Stuart, Bryan W. and Thomas, Kathryn G. and Grant, David M. (2018) Generation and characterisation of gallium titanate surfaces through hydrothermal ion-exchange

• Gallium (9.4 at.%) can successfully ionexchange with sodium (2.7 at.%) in titanate structures (0.5–1 μm deep). • RHEED analysis was successfully conducted, for the first time, confirming d spacing values for titanate structures. • Pre-heat-treated gallium titanate (2.76 ppm) released more gallium ions compared to post-heat-treated samples
EXPLORING INTENTION TO ADOPT MOBILE COMMERCE: INTEGRATING UTAUT2 WITH SOCIAL MEDIA

— Recent advances in wireless communications have resulted in increasing the penetration rate of mobile users, and actually increased the evolution of mobile commerce technology. This research attempt to predict the determinants that influence consumer expectation and intention to adopt mobile commerce in Jordan. The work modifies the UTAUT2 model and includes a new variable which is social media. By empirical examination from Jordan. Data was collected from 400 Jordanian consumers, and the research hypotheses were tested using linear regression analysis. The results showed that social media, social influence, effort expectancy, hedonic motivation, performance expectancy, habit, and facilitating conditions significantly affect Jordanian consumer intention to adopt mobile commerce. In turn, price value has no critical relationship with intention to use. This paper recommends the need to extend the UTAUT2 when investigating innovation such as mobile commerce technology. The results of this paper are expected to be valuable for telecommunication and mobile commerce providers in developing a marketing strategy.
Effects of a polymeric soil conditioner on the early growth of sunflowers

In sandy soils water shortage may result in the loss of crops. During prolonged droughts an increase in time to wilting by a few days may diminish yield losses. Soil incorporation of highly water-swelling polymers (hydrogels) to increase time to wilting and to increase biomass production was investigated. The soil conditioner used was a post cross-linked sulphonated polystyrene. The soil used was a sand with sunflowers (Helianthus annuus) grown for 10 wk. The plant parameters examined were emergence time, growth, wilting time and aboveground biomass. Soil parameters included field capacity, wilting point and available water. These parameters were correlated with the polymer content in the soil and the degree of water equilibrium swelling of the polymers. The tests were performed in pots under water deficiency conditions. Second-order factorial designs were applied and the resultant mathematical models proved adequate and reasonable. The presence of soil conditioner resulted in improvements of all paramete.
EFFECT OF AMF ON LEAD CONTAMINATED SOIL PHYTOREMEDIATION

Under greenhouse conditions the factorial experiment was carried out, to assess the influence of Arbuscular Mycorrhizal Fungi (AMF) on lead contaminated soil phytoremediation by Maize plants. Experiment factors were inoculated with (AMF) in two levels inoculated with Glomus mosseae or non-inoculated, the second factor lead soil contamination in three levels (0, 1000, 2000 mg kg-1 Pb)). The results show that there were no mycorrhizal infection and spores noticed in roots of noninoculated plants. Contamination with Pb significantly decreased dry weight of plant parts above and below ground, AMF infection percentage and number of spores under all levels of Pb. The contamination decreased infection percentage by 18% and 24% in contaminated soil with 1000, 2000 mg kg-1 Pb respectively. AMF significantly increased shoots, roots dry matter, Pb concentration in shoots and roots, Pb uptake in roots and shoots under all Pb levels. AMF increased shoot dry matter by 67%, 62% and 82% in plants grow in contaminated soil with 0, 1000, 2000 mg kg-1 Pb respectively. AMF increased Pb uptake in shoots by 160%, 110% and 160% in plants grow in contaminated soil with 0, 1000, 2000 mg kg-1 Pb respectively. Our results show that maize plants can survive and withstand under high Pb contamination condition and AMF can protected maize plants from Pb toxicity and enhance Pb uptake and phytoremediation efficiency.
Experiments on Problems of Climate Change

Climate change presents a dire political problem. If we are unable to check carbon emissions, increasing temperatures could produce devastating effects around the globe. Effective global climate action requires international coordination; compliance with an international agreement requires public support of climate policy; and public support of climate policy depends on individuals’ climate beliefs. How can experiments shed light on the political challenges involved in addressing climate change? This chapter examines experiments investigating climate beliefs, climate action, and climate coordination, focusing on what we have already learned and where experiments can usefully contribute more. 31.1 The Political Problem of Climate Change Human activities over the past 150 years have resulted in the steadily increasing release of greenhouse gases into the atmosphere, particularly from carbon emissions. The accumulation of these gases is causing the global temperature to rise, with cascading effects on climate. Such warming will have potentially catastrophic effects, impacting human health and quality of life, economic growth, and geopolitics (USGCRP 2018). Identifying and understanding climate change is a scientific problem, but addressing climate change is a social and deeply political problem. From a purely scientific perspective, the solution is straightforward: cut global carbon emissions. But to do so, individuals must be willing to bear costs, policymakers must identify feasible and effective actions, and nations must be able to reach and maintain agreements. Climate change presents the largest collective action problem the world has ever faced. Figure 31.1 maps the political problem of climate change in broad terms, beginning at the level of the individual and moving to development of and compliance with an international climate agreement. Each set
The Effects Of Economic Growth On Financial Development In Nigeria: Interacting Role Of Foreign Direct Investment: An Application Of NARDL

The concern of this paper is to analyze the effect of economic growth as well as theinteracting role of foreign direct investment and economic growth on the Nigerian Financial sector. The study uses the time series data spanning the period 1970-2018. The econometrics techniques of Gregory and Hansen (1996) co-integration, Non-linear ARDL as the elasticity estimator, and the Diks and Panchenko (2006) for the causality were deployed. The co-integration result shows the presence of a long-run relationship between the variables.However, the result confirms the evidence of asymmetry in economic growth concerning financial development. Further findings indicate the existence of unidirectional non-linear causality between economic growth and financial development. We also found a one-way causality between foreign direct investment running to financial development. We, therefore, conclude that economic growth and foreign direct investment have an overall positive and significant effect on financial development. The paper recommends that there should be an improvement in the real sector and device means to attract more external investors as it will lead to a positive spillover effect on financial sector development.
Unpacking patronage: the politics of patronage appointments in Argentina and Uruguay’s central administrations

This study makes the following contributions to the study of the politics of patronage appointments in Latin America: Conceptually, it adopts Kopecký et al (2008) distinction between clientelistic and non-clientelistic types of patronage politics as a conceptual lens for the study of patronage practices in Latin America’s presidentialist regimes. Analytically, it sets up a new taxonomy of patronage appointments based on the roles appointees’ play vis a vis the Executive, the ruling party and the public administration that can be used for the comparative study of the politics of patronage. Empirically, it applies the taxonomy to a pilot study of the politics of patronage in Argentina and Uruguay under two left of centre administrations. Theoretically, it contributes to theory building by relating the findings of our research to differences in party systems and presidential powers in the countries under study and agency factors associated to the respective governments’ political projects. The article concludes that differences in patronage practices are a manifestation of two different forms of exercising governmental power: a hyper-presidentialist, populist one in Argentina and a party-centered, social democratic one in Uruguay.
Calophycin, a fungicidal cyclic decapeptide from the terrestrial blue-green alga Calothrix fusca

A broad-spectrum fungicide, calophycin, has been isolated from Calothrix fusca EU-10-1, a terrestrial blue-green alga belonging to Nostocaceae, and identified to be a cyclic decapeptide, cyclic (L-Ala-D-Asp-L-Asn-L-Gln-Gly-L-Arg-L-N-MeAsn-L-Pro(2R,3R,4S)-Hamp-L-Val), where Hamp is a (2R,3R,4S)-3-amino-2-hydroxy-4-methylpalmitic acid unit and MeAsn is an N-methylasparagine residue
Genetic analysis of backcross derived lines of Oryza rufipogon in the background of Samba Mahsuri for yield enhancing traits in rice

Wild species of rice Oryza rufipogon is a potential source of genetic variation for yield-enhancing traits. With the objective of genetic enhancement of elite rice cultivar, Samba Mahsuri, a set of 120 lines of BC2F1 developed from O. rufipogon and was evaluated for yield-enhancing traits. The study revealed, the presence of significant genetic variability and transgressive segregations for productive tillers and grain yield/plant. Characters such as productive tillers per plant (38.37 and 35.48) and yield per plant (44.76 and 44.04) exhibited high PCV and GCV estimates. All the traits except days to 50% flowering displayed high heritability coupled with high genetic advance. Grain yield per plant exhibited a positive correlation with plant height (0.08), productive tillers per plant (0.05) and panicle length (0.20) these traits should be given due importance while practising selection. The identified transgressive segregants from this pre breeding study serve as valuable genetic resources for improvement of rice for yield and its attributing traits.
the therapeutic efficacy and mechanisms underlying the effects of miR‐126‐5p on H9c2 cell proliferation and apoptosis by targeting interleukin (IL)‐17A. A total of 40 patients with AMI

Accumulating evidence has indicated that microRNAs (miRNAs/miRs) regulate the occurrence and development of various diseases, including diabetes, osteo‐ porosis and cardiovascular conditions. However, the role of miRNAs in acute myocardial infarction (AMI) is not completely understood. The present study aimed to evaluate the therapeutic efficacy and mechanisms underlying the effects of miR‐126‐5p on H9c2 cell proliferation and apoptosis by targeting interleukin (IL)‐17A. A total of 40 patients with AMI and 40 healthy volunteers were recruited in the present study and the expression levels of serum miR‐126‐5p and IL‐17A were determined. Following confirmation that IL‐17A was a target of miR‐126‐5p via a dual‐luciferase reporter assay, H9c2 cells were exposed to hypoxic conditions. H9c2 cell viability and apoptosis were subsequently assessed. Additionally, the protein expression levels of apoptosis‐associated proteins were detected following transfection. Compared with healthy individuals, miR‐126‐5p expression was significantly decreased in the serum samples of patients with AMI, whereas IL‐17A, the target of miR‐126‐5p, was significantly increased. Following hypoxic treatment, miR‐126‐5p overexpression enhanced H9c2 cell viability compared with the NC group, which was subsequently reversed following co‐transfection with pcDNA3.1‐IL‐17A. Additionally, the results indicated that hypoxia‐induced H9c2 cell apoptosis was significantly reduced following transfection with miR‐126‐5p mimics via the PI3K/AKT signaling pathway compared with the NC group. The present study indicated that miR‐126‐5p may serve as a novel miRNA that regulates H9c2 cell viability and apop‐ tosis by targeting IL‐17A under hypoxic conditions. Therefore, miR‐126‐5p may serve as a crucial biomarker for the diagnosis of AM