Miracle-dz/UniFAR-FTUs huggingface dataset:
Highly Visible-Light-Photoactive Heterojunction Based on TiO2 Nanotubes Decorated by Pt Nanoparticles and Bi2S3 Quantum Dots

A heterojunction with excellent visible light response and stability based on titanium dioxide nanotubes (TiO2 NTs), bismuth sulfide quantum dots (Bi2S3 QDs), and platinum nanoparticles (Pt NPs) is proposed. Both Pt NPs (3.0 ± 0.2 nm) and Bi2S3 QDs (3.50 ± 0.20 nm) are well distributed on the (i) top parts, (ii) inner walls, and (iii) outer walls of the TiO2 NTs. Visible-light-induced photoreaction was initialized by excitation of narrow band gap Bi2S3 QDs, followed by electron injection to the conduction band of TiO2, while Pt NPs acted as electron traps, enhacing O2–• generation. Phenol in the aqueous phase and toluene in the gas phase were efficiently degraded over Bi2S3–Pt NTs, even for wavelengths longer than 455 and 465 nm, respectively, while no degradation of model compounds was observed over pristine TiO2 NTs under the same irradiation conditions. Photocatalytic tests of phenol degradation in the presence of scavengers revealed that superoxide radicals were responsible for the visible-light degra.
Elevated CO 2 concentration affects vertical distribution of photosynthetic activity in Calamagrostis arundinacea (L.) Roth

Klem K. , Holub P., Urban O. 2017: Elevated CO2 concentration affects vertical distribution of photosynthetic activity in Calamagrostis arundinacea (L.) Roth. – Beskydy, 10 (1, 2): 67–74 An understanding of photosynthetic responses to elevated CO2 concentration (EC) across the entire vertical canopy profile will help to achieve more proper simulation of ecosystem responses to expected climate change. Accordingly, we studied changes in vertical gradients of photosynthetic parameters in the grass species Calamagrostis arundinacea under EC at the time of anthesis. Plants were transplanted and grown for 3 years under ambient (385 ppm; AC) and elevated (700 ppm; EC) atmospheric CO2 concentrations in experimental glass domes. In general, EC reduced the variability of photosynthetic activity within the vertical profile of plants. Such changes also altered the differences between AC and EC in the vertical profile. While EC led to greater accumulation of chlorophylls, CO2 assimilation rate, and efficiency of photochemical processes in lower leaves, EC primarily reduced stomatal conductance and transpiration rate in upper leaves. These changes resulted in higher water-use efficiency in lower leaves. On the other hand, we found slightly greater down-regulation of photosynthesis under EC in lower leaves indicated as the A700/A385 ratio. Such knowledge may be important in upscaling EC effects from leaves to the canopy level and modelling impacts of expected climate change on grassland ecosystems.
Quantitative and multiplex dot-immunoassay using gap-enhanced Raman tags

Dot immunoassay has been proposed as a simple and fast method for detection of various analytes. However, this qualitative method has a narrow working range and is limited to multiplex detection. To overcome these drawbacks, we suggest a highly specific, quantitative, and multiplex dot immunoassay using plasmonic gap-enhanced Raman tags (GERTs) and a nitrocellulose membrane as a substrate. The assay principle is based on reading surface-enhanced Raman scattering (SERS) spectra from analyte drops on the membrane strip after incubation with GERTs conjugated to biospecific probes. Three types of GERTs were synthesised by embedding nitrobenzenethiol (NBT), naphthalenethiol (NT), and acetamidothiophenol (AcTP) Raman molecules inside Au core/shell nanoparticles. For proof-of-concept experiments, the NBT, NT, and AcTP GERTS were further functionalized with rabbit anti-rat, anti-human, and anti-chicken antibodies, respectively. For all three corresponding antigens, the detected Raman signals linearly depended on the analyte amount within the range from 10 to 300 ng. The multiplex capability of the assay is illustrated by simultaneous one-step determination of rat, human, and chicken IgGs with a mixture of functionalized GERTs by recording Raman maps for whole membrane to avoid the point-to-point repeatability problem. Thus, GERTs are promising SERS nanotags for advanced versions of immunoassays instead of common plasmonic SERS labels with Raman reporters excited by the external near field.
Congruence between Sibling Relationship and Parenting Practices acrossOlder and Younger Siblings

Anahtar kelimeler Kardeş ilişkisinin kalitesi, ana babalık, büyük kardeşler, küçük kardeşler Abstract This study aimed to investigate whether maternal control and discipline practices relate to perceived sibling relationship quality with the mediating role of perceived maternal warmth and hostility across younger and older siblings, and whether the pattern of relations differs across siblings. As previous studies examining the link between parenting and child-related outcomes generally recruited only one child in a family, we recruited two siblings growing in the same family to examine child-specific influences. A total of 100 Turkish families with older (5.3 8.7 years) and younger siblings (3 5.5 years) participated in the study. Mothers reported their discipline practices, observers rated mothers' control practices, and siblings reported maternal warmth and hostility, and sibling positive affect and conflict. Results revealed that, for both siblings, higher maternal positive control was related to higher perceived maternal warmth, in turn, associated with higher perceived sibling positive affect, and higher maternal negative discipline was linked with higher perceived maternal hostility, in turn, related to higher perceived sibling conflict. Moreover, younger siblings whose mothers used higher positive control perceived their mothers as being less hostile yet there was no such association for older siblings. Overall, findings suggested that there is a congruence between parent-child relationship and sibling relationship quality across older and younger siblings.
Advances in remediation of heavy metal contaminated soil and water by Leersia hexandra Swartz

Heavy metal pollution is extremely harmful to human beings. Looking for an efficient and environmentally friendly treatment method is the focus of current research. Using plants to treat contaminated water and soil has proven to be an effective and environmentally friendly method. Leersia hexandra Swartz is a chromium hyperaccumulator, and it can also enrich copper and nickel. Since the super enrichment characteristics of Leersia hexandra Swartz were discovered, many scholars have poured into the research on Leersia hexandra Swartz. This article will give an overview of the current application status of Leersia hexandra Swartz’s purification of polluted water and soil, analyze the methods and principles used, and discuss the future development direction of Leersia hexandra Swartz’s plant remediation technology.
Synthesis, structural and photoluminescence properties of nano-crystalline Cu doped NiO

The Ni1−xCuxO (x = 0, 0.05, 0.10, 0.15) nano-crystalline are synthesized by chemical precipitation route using metal chloride salts and polyvinyl-pyrrolidone (PVP). Thermal decomposition results of dried hydroxide powder showed the weight loss up to 500 °C. Therefore, synthesized samples were calcined at 500 °C for 4 h and used for further characterization. The EDAX results confirm the purity of the synthesized nanomaterials. The structural phase and morphology of the calcined powders were investigated by powder XRD and TEM techniques respectively. The XRD results show the cubic rock salt fcc structure with Fm-3m space group. The TEM results reveal the reduction size of nanomaterials on doping of Cu in NiO. The synthesized samples are characterized by Raman and photoluminescence spectroscopy to study their vibrational and luminescence properties respectively.
Elemental Migration and Transformation from Sewage Sludge to Residual Products during the Pyrolysis Process

The elemental distribution and physicochemical properties of residual products—namely, char, tar, and produced gas—obtained during the pyrolysis of anaerobically treated dried sewage sludge was investigated and compared with those of raw sludge. Experimental investigations were performed in a laboratory fixed-bed reactor and revealed the migration fate of heavy metals (Cd, Co, Cr, Cu, Ni, Pb, Ti, and Zn), alkaline earth metals and alkali metals (Ba, Be, Ca, K, Mg, and Na), intermediate metals (Fe, Mn, Al, and Si), and nonmetals (P, S, Cl, C, H, and N) in pyrolysis products. Primary attention was focused on heavy metal migration. The highest heavy metal recoveries were found for Cd > Co > Cr > Cu from sewage sludge into the gas-phase, with 68.17% of the Cd eliminated. This study also showed that high-temperature pyrolysis technology is an effective and promising thermochemical treatment for sewage sludge to reduce its volume.
Preparation and characteristics of mechanical and functional properties of starch/Plantago psyllium seeds mucilage films

The aim of the present study was to reinforce starch-based films with psyllium mucilage in order to obtain natural, edible and biodegradable films with improved mechanical and functional properties. The rheological properties of film forming solutions can be controlled by the concentration levels of added mucilage. The addition of mucilage reduced decomposition of the system, which made these films more thermally stable. Those starch mucilage films were sufficiently transparent and exhibited a low aqueous solubility and as showed SEM micrographs in the structure of such films appeared spherical particles, probably microcapsules. The addition of mucilage did see an improvement in the mechanical properties of those films made of mucilage, especially at a higher concentration of starch (4% rather than 3%).
Universal Basic Income Programs: How Much Would Taxes Need to Rise? Evidence for Brazil, Chile, India, Russia, and South Africa

Abstract Using microsimulations this paper analyzes the poverty and tax implications of replacing current transfers and subsidies by a budget-neutral (no change in the fiscal deficit) universal basic income program (UBI) in Brazil, Chile, India, Russia, and South Africa. We consider three UBI transfers with increasing levels of generosity and identify scenarios in which the poor are no worse off than in the baseline scenario of existing social transfers. We find that for poverty levels not to increase under a UBI reform, the level of spending must increase substantially with respect to the baseline. Accordingly, the required increase in tax burdens is high throughout. We find that the increase in the average tax rate that would be consistent with not hurting the poor is almost universally above 30%, limiting the feasibility of a UBI reform due to political resistance and efficiency costs.
The Dyadic Health Influence Model

Relationship partners affect one another’s health outcomes through their health behaviors, yet how this occurs is not well understood. To fill this gap, we present the Dyadic Health Influence Model (DHIM). The DHIM identifies three routes through which a person (the agent) can impact the health beliefs and behavior of their partner (the target). An agent may (a) model health behaviors and shape the shared environment, (b) enact behaviors that promote their relationship, and/or (c) employ strategies to intentionally influence the target’s health behavior. A central premise of the DHIM is that agents act based on their beliefs about their partner’s health and their relationship. In turn, their actions have consequences not only for targets’ health behavior but also for their relationship. We review theoretical and empirical research that provides initial support for the routes and offer testable predictions at the intersection of health behavior change research and relationship science.
Optimum Shirt Design Prediction Tool for Apparel Industry

The apparel industry is one of the world’s major upcoming trends of industrial, economical science. Apparel industry has interconnected design producing and manufacturing issues have become a greater concern. In the domain of apparel product manufacturing and marketing optimization and prediction the design has played a significant part of increasing productivity, overall profit, the consumer demand, and requirements towards the actual factory. Industry has been challenged over and over before adapted by adopting new methods of designing and predict the optimum garment based on the past records and analytical data sets. In my study Time series Analysis and the trained model is used to determine and predict the optimal product under various production constraints. Time Series Analysis is one of the most accurate data analysis and forecasting technique and it is widely used in this research works. There are various kinds of both the traditional statistical methods and the more advanced artificial intelligence (AI) techniques that have been used in various existing systems in relevant to this domain. Both those methods may suffer considerable drawbacks in which the former’s performance depend highly on the time series data’s features whereas the latter ones are slow. Hence there need to pay attention for development of an intelligent time series forecasting system which is fast, versatile and can achieve a reasonably high accuracy. Anyhow with the development of computer technology, automated apparel management systems and Machine Learning models are latest popular, especially in products classification and prediction. The proposed work provides analytical inferences from historical data of sales records for apparel industry and modelling them using time series analytics to make effective decisions by predicting and visualizing.
Increasing Anaerobic Capacity of Badminton Athlete Through Interval Footwork Training Method

The issue of this study is the needs of badminton players to have good VO2max and good anaerobic capacity. The purpose of this research is to determine the effect of interval method of footwork training to increase of anaerobic capacity of badminton players. This experimental research Involved 35 UNP male athletes. The data were collected from a test of the 300 m run to measure anaerobic capacities. The data obtained in this study were analyzed using t-test. The results showed that footwork training was significantly influence the athlete's anaerobic capacity through interval training method of footwork.
Mental compression of binary sequences in a language of thought

The capacity to store information in working memory strongly depends upon the ability to recode the information in a compressed form. Here, we tested the theory that human adults encode binary sequences of stimuli in memory using a recursive compression algorithm akin to a “language of thought”, and capable of capturing nested patterns of repetitions and alternations. In five experiments, we probed memory for auditory or visual sequences using both subjective and objective measures. We used a sequence violation paradigm in which participants detected occasional violations in an otherwise fixed sequence. Both subjective ratings of complexity and objective sequence violation detection rates were well predicted by complexity, as measured by minimal description length (also known as Kolmogorov complexity) in the binary version of the “language of geometry”, a formal language previously found to account for the human encoding of complex spatial sequences in the proposed language. We contrasted the language model with a model based solely on surprise given the stimulus transition probabilities. While both models accounted for variance in the data, the language model dominated over the transition probability model for long sequences (with a number of elements far exceeding the limits of working memory). We use model comparison to show that the minimal description length in a recursive language provides a better fit than a variety of previous encoding models for sequences. The data support the hypothesis that, beyond the extraction of statistical knowledge, human sequence coding relies on an internal compression using language-like nested structures.
An efficient ADMM-type algorithm for deep semi-nonnegative matrix factorization

In this paper, we focus on deep semi-nonnegative matrix factorization (DSemiNMF) which has a wider application in the real world than traditional NMF. We propose an efficient algorithm based on the classic alternating direction method of multipliers (ADMM) for DSemiNMF. By utilizing structures in DSemiNMF, we derive an efficient updating rule for updating subproblems according to its KKT conditions. Numerical experiments are conducted to compare the proposed algorithm with state-of-the-art deep semi-NMF algorithm. Results show that our algorithm performs better and the deep model indeed results in better clustering accuracy than single-layer model.
EFFECT OF IRRIGATION WATER QUANTITY AND SOME ANTIOXIDANTS ON YIELD AND SOME PHYSIOLOGICAL TRAITS OF SNAP BEAN GROWN UNDER SANDY SOIL CONDITIONS

A field experiment was carried out during the two successive summer seasons of 2017 and 2018 under sandy soil conditions at EL-Khattara Experimental Farm, Fac. Agric. , Zagazig University, to study the effect of irrigation water quantity (1000, 1500 and 2000 m3/fed.) and foliar spray with some antioxidants (salicylic cid at 200 ppm, ascorbic acid at 300 ppm beside control treatments ( sprayed with tap water ) on growth, plant water relationship, yield and pod quality of snap bean cv, Bronco. The most important findings could be summarized as follows: The interactions between irrigation of snap bean plants at 2000 m3/fed. and spraying with SA at 200 ppm recorded the highest values of dry weight of branches, leaves and total dry weight/ plant, increasing chlorophyll a, b and total chlorophyll (a+b) in leaf tissues, average pod weight , yield / plant and total pods yield/fed. , and TSS in green pods. However, the interaction between irrigation water quantity at 2000 m3/fed. and spraying with ascorbic acid at 300 ppm recorded the highest values of total and free water (%) in leaf tissues and total carbohydrates and Vit. C in green pods in both seasons, whereas interaction treatment between 1000 m3 water/fed. , without antioxidants resulted in the highest values represented bound water and proline amino acid in leaf tissues and total fiber contents in green pods. On the other hand, the interactions between irrigation water quantity at 1000 m3 water/ fed. , and spraying with SA at 200 ppm recorded the highest values of water use efficiency (2.692 and 2.731 kg green pods/m3 water) in the 1st and 2nd seasons, respectively.
Screening of Bioactive compounds and antimicrobial properties from plant extracts of Biscofia javanica

Phytochemicals are primary or secondary product of Plant’s metabolism. They have many biological activities in the plant including role in plant growth and defense against competitors, pathogens or predators. These bioactive compounds of plants are the core of the traditional ethnic medicine practices among many tribes. Biscofia javanica, commonly known as Uriam is a tree in tropical areas of the world. The leaves of Uriam have been used by the people of Tai-Phake community of Assam against different stomach ailments. Leaves have been traditionally used for their daily meal and perceived to have therapeutic value among this community. Current investigation evaluated the bioactive compound present in the leaves Biscofia javanica. The leaves were collected from Nam-Phake village of Assam. Leaves were air-dried at 25o30oC for 2 weeks before grinded into powder. The smooth leaf powder was used to prepare the extract by using water, ethanol and the combination of both water and ethanol (50%) solvents. Presence of phytochemicals was tested using biochemical tests. Saponin, Steroids, Glycosides, Terpenoids, Phenols, Tannins, Flavonoids, Proteins, Carbohydrates were found to be present. Antimicrobial activities of different solvent extracts of Biscofia javanica were tested using Agar well diffusion method and highest zone of inhibition was measured against test organism. Our study was a very small attempt to validate their knowledge with scientific approach. Further studies will be able to reveal the mechanism of its therapeutic activity and its broad range antimicrobial properties against other human pathogen. Keyword: Phytochemicals, Traditional knowledge, Tai-Phake community, Antimicrobial property
Investigation into THF hydrate slurry flow behaviour and inhibition by an anti-agglomerant

Hydrate plugs are one of the highest risks for gas and oil transportation in pipelines, especially in deep sea environments. In a newly built-up loop, pilot-scale experiments were carried out to study typical hydrate plug phenomena and to explore the specific reasons behind these. A tetrahydrofuran (THF) hydrate slurry was formed and investigated in this loop fluid at two liquid loadings (50 vol% and 100 vol%) with/without a typical anti-agglomerant, KL-1. Morphology and temperature variations revealed that THF hydrate slurry evolution had four stages: (a) flowable fluid; (b) particle formation; (c) agglomeration; and (d) plug. The effect of liquid loading (LL) and an anti-agglomerant (AA) on morphology and temperature in three cases were studied. The morphologies in each stage were compared for the three cases. Hydrate conversion was calculated according to the liquid and solid volume proportion in these morphologies. From these morphologies, heterogeneous hydrate deposition was found to be more likely to happen in 50 vol% than in the 100 vol% LL system. The hydrate plug was also found to be induced by hydrate deposition rather than the bed at the bottom of the pipeline. By dispersing hydrate particle agglomeration, AA compressed hydrate deposition and the plug.
Clinical Observation of the Number of Lymphocytes and T Cell Subsets in Patients with COVID-19 at Different Stages

To explore the changes of lymphocytes and T cell subsets at different stages in patients with COVID-19. 86 patients with COVID-19 were enrolled, and the dynamic changes of peripheral blood lymphocytes and T cell subsets of CD3+, CD4+, and CD8+ were measured on admission, after treatment for1 week, 2 weeks, and before discharge. There were no significant differences in the number of white blood cells and lymphocytes between admission and 2 weeks after treatment or before discharge in severe patients. The counts of CD3+, CD4+, and CD8+ T cells decreased significantly on admission. After 2 weeks of treatment, the CD3+ counts were significantly higher than that on admission. The CD4+ and CD8+ counts increased significantly after 1 week of treatment, and went up remarkably before discharge compared with that on admission. There was no significant difference in the number of CD3+ cells between the mild group and the control group on admission, but it was significantly lower in the severe group than that in the control group and the mild group. The CD4+ and CD8+ counts decreased significantly in both mild and severe patients on admission, and increased significantly before discharge. At the time of discharge, the CD4+ counts in the severe and mild groups were still significantly lower than in the control group, but there was no significant difference in CD8+ counts among the three groups. The counts of CD3+,CD4+,and CD8+ T cells in the patients with COVID-19 is significantly correlated with the short-term prognosis, and is more sensitive than lymphocytes. In the earliest stage, the numbers of CD4+ and CD8+ cells are more sensitive to early reduction and faster to late recovery.