Miracle-dz/UniFAR-FTUs huggingface dataset:
Variability, heritability, and correlations among grain yield and related traits in hulless barley accessions

The aim of the present study was to investigate the variability, heritability and correlation between grain yield and yield-related traits of hulless accessions of spring barley under Southeast Bulgarian conditions. The research work was conducted in the experimental field of the Institute of Agriculture - Karnobat, South-eastern Bulgaria during the 2016 and 2017 growing seasons. The trail consisted of 20 six-rowed hulless barley accessions from ICARDA. A significant variation of grain yield and yield-related traits among the studied hulless barley accessions was found. The values of broad-sense heritability were from 1.81% for grain yield to 81.84% for the number of spikelets per spike. The number of spikes per plant had a direct positive effect on grain yield of hulless spring barley in both growing seasons. In a condition of water stress (the second year of study), the weight of grains per spike shows the highest direct effect on grain yield. Since the number of spikes per plant and weight of grains per spike had low heritability, these traits can be used as additional traits for selection for improving grain yield in the hulless barley breeding program of hulless barley only if the selection be practiced in later generations in replicated trials.
In Situ Spectroscopic Study of CO2 Electroreduction at Copper Electrodes in Acetonitrile

The electrochemical conversion of carbon dioxide (CO2) into valuable compounds is a promising route toward the valorization of this molecule of high environmental impact. Yet, an industrial process involving CO2 electroreduction is still far from reality and requires deep and fundamental studies for a further understanding and better development of the process. In this work, we describe in situ spectroelectrochemical studies based on Fourier transform infrared spectroscopy and surface-enhanced Raman spectroscopy of the CO2 reduction in acetonitrile solutions at copper electrodes. The influence of factors such as the water content and the supporting electrolyte on the reaction products were evaluated and compared to products obtained on metal electrodes other than Cu, such as Pt, Pb, Au, Pd, and Ag. The results show that at Cu electrodes in acetonitrile containing small amounts of water, the main reaction products from CO2 reduction are carbonate, bicarbonate, and CO. The formation of CO was observed at le.
Recent Advances in Hydrotreating of Pyrolysis Bio-Oil and Its Oxygen-Containing Model Compounds

Considerable worldwide interest exists in discovering renewable energy sources that can substitute for fossil fuels. Lignocellulosic biomass, the most abundant and inexpensive renewable feedstock on the planet, has a great potential for sustainable production of fuels, chemicals, and carbon-based materials. Fast pyrolysis integrated with hydrotreating, one of the simplest, most cost-effective, and most efficient processes to convert lignocellulosic biomass to liquid hydrocarbon fuels for transportation, has attracted significant attention in recent decades. However, effective hydrotreating of pyrolysis bio-oil presents a daunting challenge to the commercialization of biomass conversion via pyrolysis-hydrotreating. Specifically, the development of active, selective, and stable hydrotreating catalysts is problematic due to the poor quality of current pyrolysis bio-oil feedstock (i.e., high oxygen content, molecular complexity, coking propensity, and corrosiveness). Significant research has been conducted to.
Treatment performance and membrane fouling characteristics of inclined-tube anoxic/aerobic membrane bioreactor applied to municipal solid waste leachate

AbstractThis study investigated the performance of inclined tube anoxic/aerobic membrane bioreactor (itMBR) treating concentrated municipal solid waste leachate over 550 d at organic loading rates of 4.2–31.8 kg BOD/m3 d. At optimum loading of 18 kg BOD/m3 d, the itMBR could achieve high removals of 97% for biochemical oxygen demand, 94% for chemical oxygen demand, and 95% for total Kjeldahl nitrogen. Complete elimination of protein-like substances and partial removal of fulvic and humic acid-like substances were achieved. Major membrane foulants were found to be gel layers containing protein-like and polysaccharide-like substances and Ca-based inorganic scaling. Membrane cleaning using sodium hypochlorite followed by citric acid was found effective for the restoration of transmembrane pressure (TMP) while periodical chemical enhanced back-flushing at every 7–10 d could limit TMP increase rate and sustain the operation in long term.
Significance of Primary Immunodeficiency Disorder (PID)–associated Germline Mutations in Korean patients with ALL

Background In addition to somatic mutations, germline genetic predisposition to hematologic malignancies is an emerging research issue. In this study, we investigated genetic alterations (both somatic and germline) in Korean acute lymphoblastic leukemia/lymphoma (ALL) patients using targeted gene panel sequencing. Method We selected ALL patients diagnosed at Samsung Medical Center. Eighty-two well known genes associated with 23 predisposition syndromes were included in the gene panel. In addition to sequence variants, gene-level copy number variants (CNVs) were investigated. Results Ninety-three ALL patients (65 children, 28 adults) were enrolled in this study. We identified 197 somatic sequence variants (excluding synonymous variants) and 223 somatic CNVs. Overall survival (OS) and relapse-free survival (RFS) differed significantly by cytogenetic group in childhood B-ALL. The IKZF1 alteration had an adverse effect on OS and RFS in childhood ALL. Among the 82 genes associated with 23 predisposition syndromes, known mutations (TP53, LIG4) and novel mutations (TINF2, CTC1) were identified. Nine patients (9.7%) had pathogenic or likely pathogenic variants associated with primary immunodeficiency disorder (PID) in a heterozygous state. Conclusions We found recurrent mutations and clinical effects similar to those reported in previous studies. We also found an unexpectedly high prevalence of PID-associated germline mutations. Our results suggest several important points: 1) paired leukemic and normal control samples are recommended to discriminate somatic and germline mutations; 2) gene panels must include genes associated with predisposition; 3) gene panels must include genes associated with PID.
Predição de tendências em séries financeiras utilizando metaclassificadores

Neste trabalho foi desenvolvido um metaclassificador baseado em métodos de inteligência computacional para prever tendências em séries temporais financeiras. O kernel do metaclassificador foi baseado na ferramenta (Weka). Sete classificadores foram combinados para realizar a metaclassificação. Testes foram realizados com nove ativos da Bolsa de Valores de São Paulo. Os resultados iniciais foram promissores, com boa acurácia na classificação e ganhos de até 100% do valor de capital inicialmente investido no período de um ano.
Analyzing the impact of external debt on industrialization : the African franc zone case

This paper uses data from 10 countries of the African franc zone from 1996 to 2017, to gauge the effect of external debt on industrialization in the presence of non-linearity. Our analyzes are done based on two aspects. Firstly, using a Panel Smooth Transition Regression (PSTR), our results show that there is a non-linear relationship between external debt and industrialization in the African franc zone, which depends on the level of the external debt stock, the threshold is $58.91 \%$ of GDP. While before this threshold, external debt has no direct effect on industrialization, after this threshold it is harmful to it. Secondly, an analysis in two periods (1996-2006 and 2007-2017) by the GLS and SUR methods shows that before 2006, the external debt was an asset for industrialization but after, it gave way to domestic credit. Thus, the external debt has become obsolete after reaching the completion point of the HIPC initiative, and would be a danger for the industrialization of the franc zone in the event of excess.
Health Monitoring System Using Iot: A Review

In this 21 st century of technology humans just become working machine which just working like a robot 24 hrs. on a daily basis to get two times meals. In this race he just forget to focus on very important part i.e. health. As initially there are so many systems developed, with proper review of these systems we came to know about certain shortcomings and features of previous work done. These systems works on the latest trending tech i.e. IoT (Internet of Things). Thus IoT brings out its one of the most important applications i.e. Health monitoring system. In these systems, generally persons have used Heart Beat sensor, ECG and Blood Pressure sensors with different microcontrollers to have readings from the sensing elements and received by the local server with which data can be shared with physician as well as with the sufferer in the android app. which can aware the user regarding its latest reading.
Estimating human glioblastoma xenograft DCE-MRI response to Bevacizumab treatment

Background and purpose: It has been suggested that consecutive DCE-MRI in the early phase of treatment with bevacizumab could provide a better estimate of treatment response. Materials and methods: The xenograft study was performed using adult (8-12 weeks of age) male type NMRINUM Mice (Taconic, Denmark). A human glioblastoma xenograft was inoculated subcutaneously in the posterior flank of the mouse. DCE MRI and compartment analysis was performed extended Toft´s model. Pathology immunohistochemistry of Glial fibrillary acidic protein (GFAP) of excised tumors slides were analyzed using an ImageJ threshold watershed technique to determine tissue fraction of glial tumor cells. Results: A total of 15 intervention tumors and two C16MG control tumors were subjected to DCE MRI. A significant correlation between Ktrans and GFAP was observed. Furthermore a significant reduction in Ktrans following Bevacizumab was observed. Conclusion: To conclude this study successfully established a technique, which allowed small animals with Xenograft heterotopic implanted GBM tumors to be scanned with a DCE-MRI technique using a clinical 3T MR scanner setting. Furthermore the Ktrans parameters derived was demonstrated to be a potential imaging biomarker of GBM GFAP activity and treatment response to Bevacizumab.
Nutrition Ingredients and Health Functions of Buccal Tablet of Phyllanthus Emblical

The extracting solution of phyllanthus emblical is used to produce buccal tablet in this paper,The nutrition ingredients of buccal tablet of phyllanthus emblical is analysed by high performance liquid chromatograph(HPLC),inductively coupled plasms atomic envission spectrometry(ICP-AES) and automatic amino acid analyser after it has been hydrolysed in microwave reactor.The health functions of buccal tablet are also studied in order to further open up the use of phyllanthus emblical.Results shows that there are rich vitamin,16 kinds of amino acid and many kinds of trace element which are necessary to people in buccal tablet and the buccal tablet can relieve cough,cancer and cardiovascular disease etc.
Surface‐enhanced Raman scattering characteristics of CuO : Mn/Ag heterojunction probed by methyl orange: effect of Mn2+ doping

Interest in the synthesis of hybrid substrates for surface-enhanced Raman scattering (SERS) has surged recently. Hereof, in the present work, a hybrid SERS substrate CuO : Mn/Ag heterojunction has been synthesised. To accomplish this, the nanostructred Ag island film and CuO : Mn nanoparticles are synthesised by vacuum thermal evaporation method and sol–gel method respectively, and thereafter, a heterojunction between the CuO : Mn and Ag is fabricated by adsorption of CuO : Mn (10-3 m in ethanol) on Ag island film. Further, the SERS sensitivity of CuO : Mn/Ag heterojunctions has been studied by probing methyl orange. We observed that with Mn-doping in the lattice of CuO, the SERS signal is enhanced considerably because of ferromagnetic ordering in CuO : Mn. DFT/B3LYP/6-311 G(d, p) method is used to calculate the energy of HOMO and LUMO level of methyl orange. Copyright © 2016 John Wiley & Sons, Ltd.
Identification of a Three-gene Signature Acting as a Novel Prognostic Biomarker in Intrahepatic Cholangiocarcinoma Patients

Background: Intrahepatic cholangiocarcinoma (iCCA) patients have poor outcomes due to the lack of biomarkers for the selection of treatment options. The present study was conducted to find biomarkers with independent prognostic vaule in iCCA patients. Methods: Gene transcriptome profiles of E-MTAB-6389, TCGA-CHOL and GSE26566 were obtained from ArrayExpress, The Cancer Genome Atlas and the Gene Expression Omnibus databases, respectively. Bioinformatic analyses were performed to screen novel biomarkers for predicting the prognosis of iCCA patients. Using multivariate Cox regression analyses, a 3-gene signature (BTD-FER-COL12A1) with potential prognostic value was identified and validated in both a training cohort and two validation cohorts. Results: A total of 177 iCCA patients were included in this study. From the key gene modules significantly associated with liver cirrhosis and overall survival (OS) of iCCA patients, we identified 89 hub genes for functional analyses. Cox-regression analyses in both the training and validation cohort indicate that FER, COL12A1 and BTD were independent risk factors for iCCA patients. A 3-gene signature (BTD-FER-COL12A1) with independent prognostic value in iCCA patients was validated in the training cohort, as well as in two validation cohorts. In terms of predicting the prognosis of iCCA patients, the receiver operating characteristics (ROC) curves showed that this 3-gene signature had superior prediction power to BTD, FER, and COL12A1 alone, as well as known biomarkers (MUC1, MUC13) of iCCA. Immunohistochemical staining of samples from The Human Protein Atlas showed that FER and COL12A1 were positively expressed in iCCA tissue, although BTD was not, while none of these genes was detected in normal tissue. These findings were consistent with the expression status of BTD, FER and COL12A1 at the transcriptional level. In addition, we found that FER and COL12A1 were significantly associated with the degree of infiltration by tumor-infiltrating immune cells. Conclusion: We discovered a three-gene signature with independent prognostic value as a novel biomarker for prediction prognosis of iCCA patients. Our findings may help to find novel therapeutic targets for precision treatment of iCCA.
Enhancing Ordering Dynamics in Solvent-Annealed Block Copolymer Films by Lithographic Hard Mask Supports

We studied solvent-driven ordering dynamics of block copolymer films supported by a densely cross-linked polymer network designed as organic hard mask (HM) for lithographic fabrications. The ordering of microphase-separated domains at low degrees of swelling corresponding to intermediate/strong segregation regimes was found to proceed significantly faster in films on a HM layer as compared to similar block copolymer films on silicon wafers. The 10-fold enhancement of the chain mobility was evident in the dynamics of morphological phase transitions and of related process of terrace formation on a macroscale as well as in the degree of long-range lateral order of nanostructures. The effect is independent of the chemical structure and on the volume composition (cylinder/lamella forming) of the block copolymers. In-situ ellipsometric measurements of the swelling behavior revealed a cumulative increase in 1–3 vol % in solvent uptake by HM-block copolymer bilayer films, so that we suggest other than dilution ef.
Time Series Data Analysis for Stock Market Prediction

Prediction of the stock market is gathering of previous historical data of shares or any traded securities in the market and trying to forecast the future value of the company's share/securities. This stock prediction using historical time series data, based on certain preconceived notions and some constant factors and hence becomes difficult to predict for long term range. (Figlewski, 1994) (Mondal, 2014). Time series analysis like moving average, autoregression integrated. Moving Average and Holtwinters Models are being used. This paper proposes the best fit model for stock prediction using BSE (Bombay Stock Exchange data ) for 10 years. Purpose: A typical mistake investor does many a time a wrong timing of investment. Investing at an appropriate time can get gains. Investors often fail to understand when to buy the stock, when to sell, how long to hold as many times misconceptions. (Grinblatt, 2000). Thus we have attempted to find the best method for Prediction. Also attempted to predict nearing to accurate Prediction and can generate profits to the investors. (Zweig, 1973). However, the limitation is the Time series analysis model is helpful in short period forecasting (Alwadi, 2018, October). (Chng, 2019) (Ariyo, 2014, March). Stock market prediction for the more extended period is a challenge because of the very nature of Data without seasonality or any trend. Significance of the Study This paper proposes the best fit model for stock prediction using BSE (Bombay Stock Exchange data ) share data for 10 years. The results can be useful to the stock analyst, Government, investor, management and all the stakeholders. However, since stock market data do not give uniform patterns, different analysis is tested to predict the future value and get reasonably accurate results. Objective of the study: The objective of this research is to find out pattern from 10 years BSE data and estimating future price. This paper thus focuses on predicting an approximate value of share price and also best fit method for Prediction
Genetic variations within the CCR5 promoter region among elite and viremic controllers in Uganda

Background: The importance of the C-C chemokine receptor type 5 (CCR5) in HIV infection and disease progression was recognized with the discovery of the ∆32 allele. Individuals homozygous for this mutation lack functional CCR5, and are almost completely resistant to HIV infection while heterozygous individuals display decreased cell surface CCR5, which slows disease progression. However, this mutation is rare in Africa. Genetic variations within the CCR5 promoter region have been associated with regulation of CCR5 gene expression and could attempt to explain the different disease progression statues seen within Uganda. However, the distribution and impact of these variations are not known within this setting where this population exists. A study done in Rakai, reported a prevalence of LTNPs as 9.1% and another study done by Alex Kayondo in 2018, reported a prevalence of 0.26% of HIV controllers in an Urban HIV ambulatory center in Kampala, Uganda. Reasons for their intrinsic resistance to HIV are not fully understood. We hypothesized that variations in the CCR5 promoter gene could affect CCR5 expression thus impacting on the clinical course of HIV. In this study, we determined the median CCR5 expression by CD4 + T cells and the CCR5 promoter genetic variations that could be associated with delayed progression to HIV/AIDS seen among this study group.Results: There was significant reduction in CCR5 densities on CD4 + T cells among elite and viremic controllers compared to non-controllers. CCR5 Promoter polymorphism − 2459 G/G was highly prevalent among Elite and Viremic Controllers and it is associated with delayed progression to AIDS while − 2459 A/A and − 2132C/T were high prevalent among NCs and they are associated with rapid progression to AIDS.Conclusion: The reduction in CCR5 densities and percentage CCR5 + CD4 + T cells could explain the delayed progression to AIDS among these individuals. The reduction could be accounted for by the mutation 2459 G/G reported in the CCR5 promoter region.
A sustainable model for halal pharmaceutical logistics

The need to implement halal into pharmaceutical logistics and supply chains is essential for halal integrity assurance. Nevertheless, logistics research is almost non-existent concerning the understanding of halal pharmaceutical logistics (HPL). The implementation of halal logistics is more stringent in pharmaceutical logistics than other industries. As predicted, a study concentrating on pharmaceutical transport is therefore critical concerning empowering halal integrity assurance of supply chains for facilitating halal healthcare products/services. The paper focuses on theoretical development and research model for HPL. To address the issue, the study consolidates reviews concerning the research domain of halal logistics. The novelty of this study is in developing and modelling five resource-based halal logistics and transforming them into sustainable competitiveness. This paper deepens knowledge of halal pharmaceutical logistics, thereby enabling such logistics and transportation providers to implement halal logistics. A new research model offers strategic halal resource orchestration for halal pharmaceutical logistics.
Biostimulation by direct voltage to enhance anaerobic digestion of waste activated sludge

Electrical stimulation has been used conventionally for stimulation of microorganisms, and also be a promising technology to manage wastewater treatment by stimulating microbial metabolism. Previous studies on electrical stimulation were mainly focused on sewage treatment and groundwater purification, while little attention has been paid to its effect on anaerobic digestion of waste activated sludge (WAS). In this study, different voltages (0.3–1.5 V) were applied to investigate the influence of electrical stimulation on the anaerobic digestion of WAS. The results revealed that applied voltages could accelerate sludge hydrolysis and acidification process. The best performance in terms of methane production and sludge reduction was obtained with the applied voltage of 0.6 V. In this case, methane production increased by 76.2% with an enhanced VS removal rate (26.6%) compared to the control group. The energy consumption at 0.6 V could be neglected compared to the incremental energy generated from the methane. However, methane production decreased and hydrogen was produced when the applied voltage increased to 0.9 V. At higher voltages (1.2 V and 1.5 V), more soluble organic matters were released. In particular, the VFAs concentration peaked at 640 mg L−1 and 1001 mg L−1, respectively. Pyrosequencing revealed that hydrogenotrophic methanogens consisted majority of methanogen population when the applied voltage was over 0.6 V, while acetoclastic methanogens showed overwhelming dominance at 0.3 V. Moreover, 0.6 V enriched Pseudomonas for protein degradation and Methanoregula for methane generation with species richnesses of 19.1% and 53.3%, respectively.