Miracle-dz/UniFAR-FTUs huggingface dataset:
TOXIC EFFECTS OF INDUCED SODIUM ARSENITE ON THE OVARY OF SWISS ALBINO MICE

Arsenic is an environmental pollutant, which can damage reproductive health and causes disruption of the ovary, quality of ova, decreased ova production and infertility in mice and human. Arsenic creates more and more reactive oxygen species (ROS) in the ovary. The present work provides a detailed analysis of contamination of arsenic in Bihar and further may help to check the main root causes of cancer. Female Swiss albino mice ( Mus musculus ) were selected as the experimental animals. In the treatment group 1.8 mg/kg body weight sodium arsenite and in control group distilled water was given orally by gavage method daily for8 weeks. After the treatment mice were sacrificed and the ovary and blood samples were collected. The effects were assessed by estimating blood arsenic level, serum CA 125 level, LPO level, antioxidant enzymes activity, the apoptotic index in % and histopathological parameters. Sodium arsenite treated group showed no effects on CA 125 in mice blood, LPO level was significantly (p < 0.0001) increased, whereas antioxidant enzymes (SOD & CAT) activity were significantly (p < 0.0001 & p < 0.01) decreased as compared to the control group. Apoptotic index was significantly (p < 0.0001) higher in arsenic treated mice compared with control. Sodium arsenite treated group showed vacuolized corpus luteum and ruptured germinal epithelium with Graafian follicle in comparison with the histology of control mice ovary. Our results suggest that sodium arsenite toxicity adversely affected cells of the ovary; caused DNA damage and altered the oxidative stress along with antioxidant enzymes.
Late consequences of chemotherapy on left ventricular function in women with breast cancer

Background: Cardiovascular disease is the main cause of death among breast cancer survivors. Several chemotherapy drugs may cause cardiovascular toxicity. Our study aimed to assess the late effects of chemotherapy on left ventricular (LV) systolic and diastolic function in a group of female breast cancer survivors. Methods: Our study was a case-control study consisted of 60 breast cancer survivors who had undergone chemotherapy for more than 5 years and a control group of 49 women without breast cancer. All patients underwent echocardiography and left ventricular ejection fraction (LVEF), global longitudinal strain (GLS), pulse-Doppler early transmitral peak flow velocity (E wave), early diastolic (e'), and left atrial (LA) diameter were calculated. Results: The mean LVEF and GLS were reduced in chemotherapy group (51.63±7.93% vs. 55.37±3.50%, P=0.002 and -17.99±3.27% vs. -19.25±2.27%, P=0.025). Also, the chemotherapy group had a larger left ventricular end-systolic internal diameter than the control group (1.74±0.44cm/m2 vs. 1.58±0.22cm/m2, P= 0.011). Logistic regression analysis showed among the different cardiovascular risk factors, chemotherapy had an association with decreasing LVEF. Conclusion: Breast cancer survivors might have an excess risk of having subclinical LV dysfunction over time. These findings present the potential benefits of echocardiographic assessment in breast cancer survivors.
Exopolysaccharide production in fermented milk using Lactobacillus casei strains AP and AG

This study evaluated the ability of two strains of bacterial starter cultures, Lactobacillus casei AP (AP) and Lactobacillus casei AG (AG), to produce exopolysaccharides (EPSs). First, the physicochemical properties of the fermented milk produced by AP and AG were assessed, including physical qualities like viscosity and syneresis and chemical qualities, such as pH, acidity, protein, lactose, fat content, and total solid. Then, AP and AG's ability to produce EPS was measured. Additionally, the EPS' microstructure was observed using a scanning electron microscope, and its chemical structure was assessed using Fourier transform-infrared (FT-IR) spectroscopy. Also, AP and AG's ability to produce EPS was tracked at the molecular level by studying the glycosyltransferase (gtf) gene. Statistical analysis showed that the milk fermented using AP and AG had similar physicochemical qualities (P > 0.05) but significantly different physical qualities (P < 0.05). Additionally, the milk fermented with AP had lower viscosity (1137.33 ± 34.31 centiPoise) than AG (1221.50 ± 20.66 centiPoise). In addition, the milk fermented using AP had higher syneresis (19.42%) than AG (17.83%). The higher viscosity and lower syneresis in the milk fermented using AG were associated with AG's ability to produce more EPS (1409 mg/L) than AP (1204 mg/L). In addition, according to the FT-IR analysis, the AP- and AG-synthesized EPS contained absorption bands at 3323, 2980, 2901, 1642, 1084, 1043, and 873 cm−1. The absorption band at 1642 and 2980 cm−1 corresponds to carbonyl and methylene groups, respectively. Absorption band 873 cm−1 is characteristic of the α-glycosidic bond of α-glucan in EPS. Moreover, the absorption bands on the wavelength region corresponding to the functional groups in the AP- and AG-produced EPS were similar to those in commercially available EPS. Lastly, gtf, contributing to EPS synthesis, was found in the genomes of AP and AG, suggesting the role of glycosyltransferase in the EPS synthesis by both strains.
Consumer Experience Creation in a U-Commerce Environment: An Activity Theory Perspective

The rapid development of internet of things (IoT), big data and ubiquitous computing is making ubiquitous commerce (U-commerce) the next business wave. U-commerce is a dynamic convergence of the click and mortar world, which empowers consumers to interact with virtual and physical objects within the U-commerce environment. This user involvement creates unique consumer experiences in a U-commerce environment that traditional electronic channels, such as E-commerce, are unable to replicate. Applying Activity Theory, we identify personalized incentive and contextual facilitation which influence consumers’ situational involvement and unique experiences in a U-commerce environment. Using 256 valid empirical data, the research results show that (1) contextual facilitation and personalized incentive positively affect consumers’ situational involvement and unique experiences, (2) Situational involvement positively affects unique experiences: usability and hedonic experience.
Nutritional and phytochemical components and in vitro antioxidant capacity of raw Arachis hypogaea seeds

This study examined the nutritional and phytochemical constituents as well as the in vitro antioxidant capacity of the raw form of Arachis hypogaea seeds. Qualitative and quantitative analyses of phytochemical components of the ethanolic extracts of Arachis hypogeae seeds were carried out using standard procedures. Proximate analyses of Arachis hypogaea seed powder was also carried out using standard analytical methods. Phytochemical analyses revealed the presence of tannins, saponins, flavonoids, alkaloids and coumarins. The total tannin, phenol, proanthocyanidin and flavonoid content of the seeds were 35.38±0.58mg TAE/g, 28.37±0.69 mgGAE/g, 993.00±23.09 mgAAE/g and 17.00±0.47 mgQE/g extract respectively. Proximate analysis of Arachis hypogaea seeds showed that it contained 5.43% moisture, 2.38% ash, 26.26% protein, 46.58% fat, 6.72% fiber and 12.63% carbohydrate. In vitro antioxidant capacity studies revealed that peanut extract had a better DPPH scavenging capacity relative to standard vitamin C as evidenced by its lower IC 50 value of 3.04±0.11 µg mL -1 as against 8.01±0.42 µg mL -1 obtained for vitamin C.
Artiﬁcial Control of Nitrate Respiration through the lac Promoter Permits the Assessment of Oxygen-Mediated Posttranslational Regulation of the nar Operon in Pseudomonas aeruginosa (cid:1)

In this study, oxygen and nitrate regulation of transcription and subsequent protein expression of the unique narK1K2GHJI respiratory operon of Pseudomonas aeruginosa were investigated. Under the control of P LAC , P. aeruginosa was able to transcribe nar and subsequently express methyl viologen-linked nitrate reductase activity under aerobic conditions without nitrate. Modulation of P LAC through the LacI repressor enabled us to assess both transcriptional and posttranslational regulation by oxygen during physiological whole-cell nitrate reduction. Pseudomonas aeruginosa is a ubiquitous gram-negative bac-terium capable of growth and/or survival anaerobically through arginine catabolism (36), pyruvate fermentation (6), or denitriﬁcation in the presence of nitrogen oxides (37). The latter process allows this organism to persist in soil as part of the global nitrogen cycle. Additionally, denitriﬁcation has been implicated in infections by this opportunistic pathogen in the airways of cystic ﬁbrosis patients (9, 18, 35). During anaerobic growth of Escherichia coli , the Fnr protein is responsible for activation of the synthesis of anaerobic respiratory enzymes such as nitrate reductase (28, 31). In addition, the presence of external nitrate induces the transcription of the nitrate reductase operon through the dual two-component regulatory systems of narX-narL
Poly( e -caprolactone) nanocapsules carrying the herbicide atrazine: effect of chitosan-coating agent on physico-chemical stability and herbicide release proﬁle

Polymeric nanoparticles can be used as carrier systems for a variety of bioactive compounds, altering the physico-chemical properties of the substances that are incorporated in the particle matrix. Coating techniques are employed to modify the interactions of the particles with the target medium. The objective of this work was to prepare nanocapsules of poly( e -caprolactone) containing the herbicide atrazine and study the effect of coating the nanocapsule surfaces using different concentrations of chitosan. The encapsulation efﬁciency, release kinetics proﬁle, and physico-chemical stability of the formulations were evaluated. Encapsulation percentages of 64–84 % were achieved. The release kinetics proﬁle of the herbicide was altered when the nanocapsules were coated, and the release mechanism could be described by a combination of diffusion and relaxation of the polymeric chains. The stability of the formulations was inﬂuenced by the concentration of chitosan used in the preparation procedure. Given the global application of herbicides in agriculture, the results indicate that their association with coated modiﬁed release carrier systems could be beneﬁcial from both eco-logical and economic perspectives. These systems offer delivery that is more efﬁcient, as well as improved adhesion of herbicides to the target plants.
Design of a High Efﬁciency High Step-Up/Step-Down Bidirectional Isolated DC–DC Converter

: This paper presents a novel bidirectional DC–DC converter, equipped with a three-winding coupled inductor, that can be applied to high-voltage, bidirectional DC–DC energy conversion and meet battery charging and discharging requirements. The architecture consists of a semi-Z-source converter and a forward–ﬂyback converter featuring a three-winding coupled inductor with an iron core. This proposed topology retains the current continuity characteristics of the low-voltage side, all switches possess the zero-voltage switching feature, and the switches on the low-voltage side in the step-down mode have a synchronous rectiﬁcation function. A 500-W bidirectional converter is implemented to examine the practicality and feasibility of the proposed topology. The relatively streamlined design of the converter can greatly reduce production costs. In the step-up and step-down modes, the maximum energy conversion efﬁciencies are 95.74% and 96.13%, respectively.
EFFECT OF FOLIAR APPLICATION WITH SOME ANTIOXIDANTS ON GROWTH AND YIELD OF PEA ( Pisum sativum L.) UNDER EARLY PLANTING CONDITIONS.

Two field trials were conducted at Sherbin area, Dakahlia Governorate, Egypt, during the two successive seasons of 2006 and 2007 to study the effect of some antioxidant foliar treatments on growth and productivity of pea (cv. Master-B). Ascorbic acid (vitamin C), vitamin E (α–Tocopherol), salicylic acid and their combinations were used as antioxidants foliar treatments at 0, 100, 150 and 200 ppm concentrations. The main findings showed that spraying Formula 2, which contains ascorbic acid + vitamin E + salicylic acid (each at 150 ppm) increased plant growth i.e. fresh and dry weight per plant. Using formula 2 or formula 3 which contains ascorbic acid + vitamin E + salicylic acid (each at 200 ppm) gave significantly the highest values of leaf chlorophyll, shoot N content, pods setting percentage, average weight of pod, number of seeds/ pod, 100 green seeds weight and fresh pod yield (ton/fed) under early planting conditions.
Intellectual Search of Emerging Research Fields Utilizing Large Scientific Publication Arrays: “Public Governance” Field as an Example

– In order to predict the development of any scientific field of knowledge, it is necessary to present modern achievements and discoveries, authoritative expert opinions of key scientists of the studied area. However, the Modern “digital Universe” is changing and expanding at such a speed that doubles the amount of data every two years, which has led to the accumulation of huge streams of scientific information that it has become impossible to be covered fully based on traditional scientific search techniques. This article’s outcomes can be used as an intellectual basis by scientists involved in this progressing topic.
SUPPLEMENTARY INFORMATION: Population genomics from pool sequencing

SI.1 Fu and Li’s tests for pools . 1 SI.2 Improved θΠ estimator . 3 SI.3 Formulae for all tests and corrections for ascertainment bias . 4 SI.4 Proofs . 6 SI.4. 1 Proof of equation (1) for the MCL estimator of θ . 6 SI.4. 2 Proof of equation (2) for the number of chromosomes sampled . 7 SI.4. 3 Proof of equations (3) and (10) for heterozygosities . 7 SI.4. 4 Proof of equation (SI-2) for estimators based on quasisingletons . 8 SI.4. 5 Proof of equation (8) for Fay and Wu’s estimator . 8 SI.5 Bias and variance of estimators and tests . 9 SI.6 Proof of the equations for the moments of the frequency spectrum 9 SI.7 Comparison between estimators of variability . 11 SI.8 Effect of unequal sampling . 11 SI.9 Coalescent simulations: supplementary methods . 12 SI.10Analysis of human data from 1000 Genomes project . 12 SI.11Analysis of pooled data from Drosophila mauritiana: supplementary methods . 14 SI.12Analysis of a long-term evolution experiment with Drosophila: supplementary methods . 14 SI.13Joining data from multiple pools . 15
An effective counterselection system for Listeria 1 monocytogenes and its use to characterize 10403S strain 2 monocin genomic region 3

Construction of Listeria monocytogenes mutants by allelic exchange has been laborious and time consuming due to lack of proficient selection markers for the 20 final recombination event. That is, a marker conveying substance sensitivity to 21 the bacteria bearing it, enabling the exclusion of merodiploids and selection for 22 plasmid loss. In order to address this issue, we engineered a counterselection 23 marker based on a mutated phenylalanyl-tRNA synthetase gene ( pheS* ). This 24 mutation renders the more 25 promiscuous and allows the binding of the toxic p -chloro-phenylalanine analog 26 ( p -Cl-phe) as a substrate. When pheS* is introduced to L. monocytogenes and 27 highly expressed under a constitutively active promoter, the bacteria become 28 sensitive to p -Cl-phe supplemented in the media. This enabled us to utilize 29 pheS* as a negative selection marker and generate a novel, efficient suicide 30 vector for allelic exchange in L. monocytogenes . We used this vector to 31 investigate the monocin genomic region in L. monocytogenes 10403S strain by 32 constructing deletion mutants of the region. We have found this region to be 33 active and to cause bacterial lysis upon mitomycin C treatment. The future 34 applications of such an effective counterselection system, that does not require 35 any background genomic alterations, are vast as it can be modularly used in 36 various selection systems ( e.g. genetic screens). We expect this counterselection 37 marker to be a valuable genetic tool in the research of L. monocytogenes .
Yellow fever vaccination of the elderly: The humoral immune response lagging behind

Yellow fever vaccine (YF-17D) can cause, although rarely, serious adverse events (SAEs). The mechanism of these SAEs is poorly understood. Older age has been identified as one of the risk factors for developing such events. We investigated the adaptive immune response against YF-17D in elderly subjects, to elucidate the mechanism of SAEs. Young volunteers (age range 18-28 yrs, N=30) and elderly travellers (age 60-81 yrs, N=28) were vaccinated with YF-17D from the same vaccine batch. Neutralising antibody titres and plasma YF-17D RNA copy numbers were measured at day 5 after vaccination. Following vaccination, adverse events were documented in a diary during 3 weeks.
Vector Potential and Magnetic Field of Axially Symmetric Currents

A solution is proposed for finding the vector potential and magnetic field of any distribution of currents with axial symmetry. In this approach, the magnetic field and the vector potential are looked for not by solving a differential equation but rather through straightforward calculation of integrals of one scalar function. The solution is expressed in terms of the associated Legendre polynomials P_{lm} with the index m of the Legendre polynomials assuming one value only, m = 1. The solution has the form of a series, with the coefficients of the polynomials being combinations of multipole moments. Key words: electrodynamics, vector potential, spherical harmonics, Legendre polynomials, magnetic field.
Insulin-Like Growth Factor I-Induced Degradation of Insulin Receptor Substrate 1 Is Mediated by the 26S Proteasome and Blocked by Phosphatidylinositol 3 9 -Kinase Inhibition

Insulin receptor substrate 1 (IRS-1) is a critical adapter protein involved in both insulin and insulin-like growth factor (IGF) signaling. Due to the fact that alteration of IRS-1 levels can affect the sensitivity and response to both insulin and IGF-I, we examined the ability of each of these ligands to affect IRS-1 expression. IGF-I (10 nM) stimulation of MCF-7 breast cancer cells caused a transient tyrosine phosphorylation of IRS-1 that was maximal at 15 min and decreased thereafter. The decrease in tyrosine phosphorylation of IRS-1 was paralleled by an apparent decrease in IRS-1 levels. The IGF-mediated decrease in IRS-1 expression was posttranscriptional and due to a decrease in the half-life of the IRS-1 protein. Insulin (10 nM) caused tyrosine phosphorylation of IRS-1 but not degradation, whereas high concentrations of insulin (10 m M) resulted in degradation of IRS-1. IGF-I (10 nM) stimulation resulted in transient IRS-1 phosphorylation and extracellular signal-related kinase (ERK) activation. In contrast, insulin (10 nM) caused sustained IRS-1 phosphorylation and ERK activation. Inhibition of 26S proteasome activity by the use of lactacystin or MG132 completely blocked IGF-mediated degradation of IRS-1. Furthermore, coimmunoprecipitation experiments showed an association between ubiquitin and IRS-1 that was increased by treatment of cells with IGF-I. Finally, IGF- mediated degradation of IRS-1 was blocked by inhibition of phosphatidylinositol 3 * -kinase activity but was not affected by inhibition of ERK, suggesting that this may represent a direct negative-feedback mechanism resulting from downstream IRS-1 signaling. We conclude that IGF-I can cause ligand-mediated degradation of IRS-1 via the ubiquitin-mediated 26S proteasome and a phosphatidylinositol 3 * -kinase-dependent mechanism and that control of degradation may have profound effects on downstream activation of signaling pathways.
MdmX Promotes Bipolar Mitosis To Suppress Transformation and Tumorigenesis in p53-Deﬁcient Cells and Mice (cid:1) †

Mdm2 and MdmX are structurally related p53-binding proteins that function as critical negative regulators of p53 activity in embryonic and adult tissue. The overexpression of Mdm2 or MdmX inhibits p53 tumor suppressor functions in vitro, and the ampliﬁcation of Mdm2 or MdmX is observed in human cancers retaining wild-type p53 . We now demonstrate a surprising role for MdmX in suppressing tumorigenesis that is distinct from its oncogenic ability to inhibit p53. The deletion of MdmX induces multipolar mitotic spindle formation and the loss of chromosomes from hyperploid p53-null cells. This reduction in chromosome number, not observed in p53-null cells with Mdm2 deleted, correlates with increased cell proliferation and the spontaneous transformation of MdmX/p53-null mouse embryonic ﬁbroblasts in vitro and with an increased rate of spon- taneous tumorigenesis in MdmX/p53-null mice in vivo. These results indicate that MdmX has a p53-indepen-dent role in suppressing oncogenic cell transformation, proliferation, and tumorigenesis by promoting cen- trosome clustering and bipolar mitosis. Although genetic and biochemical studies clearly indicate that Mdm2 and MdmX are key regulators of p53 activity, there are distinct differences in their mechanisms of p53 inhibition.
Short-Term Wind Speed Forecasting Based on Low Redundancy Feature Selection

Wind speed forecasting is an indispensable part of wind energy assessment and power system scheduling. In the modeling of wind speed forecasting, there are problems of insufficiency of the high input feature dimension, weak pertinence of the model and a lack of consideration about the redundancy between features. To address these problems, a short-term wind speed forecast method based on low redundancy feature selection is proposed. Firstly, complementary ensemble empirical mode decomposition (CEEMD) is used to pretreat the wind speed data to reduce the randomness and fluctuation of wind speed data. Secondly, conditional mutual information (CMI) is used to analyze the correlation between the input features on different predicted days and wind speed series. The feature order based on conditional mutual information is used to reduce the redundancy between candidate features and establish subsets with candidate features. After that, according to different candidate feature subsets of different predicted days, the outlier-robust extreme learning machine (ORELM) is used to carry out the forward feature selection and obtain optimal feature subsets for different predicted days. Finally, the optimal prediction model is constructed by using the optimal feature subset and the short-term wind speed forecasting is carried out. The validity and advance of the new method are verified by measured data through comparison experiments.