Miracle-dz/UniFAR-FTUs huggingface dataset:
Workability and Strength Properties of Class C Fly Ash-Based Geopolymer Mortar

Fly ash-based geopolymer mortar normally achieves expected properties by heat curing. This becomes one of the obstacles for in-situ applications. The development of high calcium fly ash-based geopolymer mortar, suitable for ambient curing, will gain the applicability of such a material in civil structures. This article reports the results of an experimental study on mortar workability and the increasing of compressive strength of class C fly ash-based geopolymer mortar created in ambient curing condition. The main synthesis parameters such as alkali to the cementitious mass ratio varied from 30% to 40% by an increment of 5% and absolute volume of paste to absolute volume of voids of the aggregate ratio varied from 1 to 2 by an increment of 0.25. These parameters were designed to figure out their individual effects on mortar workability and the mechanical properties for the production of geopolymer mortar. The results suggested that the workability of mortar generally increased by using alkali to the cementitious mass ratio. The compressive strength of 60 MPa and the direct tensile strength of 2.8 MPa, the ratio of alkali to the cementitious mass of 0.35 and absolute volume of paste to absolute volume of voids of the aggregate ratio was 1.5; it was obtained at ambient temperature after 28 days of age. The results will be useful for developing the knowledge for the use of class C fly ash in producing geopolymer concrete, which is currently in progress. Hopefully, this contribution of research will improve the applications of such new binding material in the future.
Trypanocidal Activity of Oxoaporphine and Pyrimidine-β-Carboline Alkaloids from the Branches of Annona foetida Mart. (Annonaceae)

Phytochemical investigation of the branches of Annona foetida Mart. led to isolation from the CH2Cl2 extract of four alkaloids: Atherospermidine (1), described for the first time in this species, liriodenine (2), O-methylmoschatoline (3), and annomontine (4). Their chemical structures were established on the basis of spectroscopic data from IR, MS, NMR (1D and 2D), and comparison with the literature. Compounds 2–4 showed potent trypanocidal effect when evaluated against epimastigote and trypomastigote forms of Trypanosoma cruzi.
Development of an LC-MS/MS method to quantify sex hormones in bovine milk and influence of pregnancy in their levels

Hormones work in harmony in the body, and this status must be maintained to avoid metabolic disequilibrium and the subsequent illness. Besides, it has been reported that exogenous steroids (presence in the environment and food products) influence the development of several important illnesses in humans. Endogenous steroid hormones in food of animal origin are unavoidable as they occur naturally in these products. The presence of hormones in food has been connected with several human health problems. Bovine milk contains considerable quantities of hormones and it is of particular concern. A liquid chromatography–tandem mass spectrometry (LC-MS/MS) method, based on hydroxylamine derivatisation, has been developed and validated for the quantification of six sex hormones in milk [pregnenolone (P5), progesterone (P4), estrone (E1), testosterone (T), androstenedione (A) and dehydroepiandrosterone (DHEA)]. This method has been applied to real raw milk samples and the existence of differences between milk from pregnant and non-pregnant cows has been statistically confirmed. Basing on a revision of existing published data, it could be concluded that maximum daily intakes for hormones are not reached through milk ingestion. Although dairy products are an important source of hormones, other products of animal origin must be considered as well for intake calculations.
A finite field method for calculating molecular polarizability tensors for arbitrary multipole rank

A finite field method for calculating spherical tensor molecular polarizability tensors αlm;l′m′ = ∂Δlm/∂ϕl′m′* by numerical derivatives of induced molecular multipole Δlm with respect to gradients of electrostatic potential ϕl′m′* is described for arbitrary multipole ranks l and l′. Interconversion formulae for transforming multipole moments and polarizability tensors between spherical and traceless Cartesian tensor conventions are derived. As an example, molecular polarizability tensors up to the hexadecapole–hexadecapole level are calculated for water using the following ab initio methods: Hartree–Fock (HF), Becke three‐parameter Lee‐Yang‐Parr exchange‐correlation functional (B3LYP), Møller–Plesset perturbation theory up to second order (MP2), and Coupled Cluster theory with single and double excitations (CCSD). In addition, intermolecular electrostatic and polarization energies calculated by molecular multipoles and polarizability tensors are compared with ab initio reference values calculated by the Reduced Variation Space method for several randomly oriented small molecule dimers separated by a large distance. It is discussed how higher order molecular polarizability tensors can be used as a tool for testing and developing new polarization models for future force fields. © 2011 Wiley Periodicals, Inc. J Comput Chem, 2011
Early Detection of Pneumothorax Using EfficientNet B0 Transfer Learning Model

Pneumothorax is a condition which requires immediate care. It is a commonly encountered state that experienced radiologists and clinicians in diverse clinical specialties may evaluate and diagnose using chest radiographs. It has been observed to have an impact on mortality rates. In the biomedical industry, the early detection of pneumothorax is required for better treatment of patients. This research paper proposes a DL neural network model to identify region of pneumothorax in chest radiographs. In this research work EfficientNet B0, a transfer learning model, has been implemented for the early analysis of pneumothorax in chest radiographs. The dataset consists of 1403 X-ray images divided into train, test, and validation, with 1200 training images, 102 test images, and 101 validation images. The batch size of the model was set to 32, and it has been trained 25 epochs altogether. A learning rate of 0.001 was used. The model has been evaluated regarding performance parameters such as precision, recall, accuracy, and F1-score. The model achieved an accuracy rate of 83%. This automatic method for early detection of pneumothorax can assist the radiologist in better treatment planning.
Detection of Zika Virus in Urine

We describe the kinetics of Zika virus (ZIKV) detection in serum and urine samples of 6 patients. Urine samples were positive for ZIKV >10 days after onset of disease, which was a notably longer period than for serum samples. This finding supports the conclusion that urine samples are useful for diagnosis of ZIKV infections.
Farside Gravity Field of the Moon from Four-Way Doppler Measurements of SELENE (Kaguya)

The farside gravity field of the Moon is improved from the tracking data of the Selenological and Engineering Explorer (SELENE) via a relay subsatellite. The new gravity field model reveals that the farside has negative anomaly rings unlike positive anomalies on the nearside. Several basins have large central gravity highs, likely due to super-isostatic, dynamic uplift of the mantle. Other basins with highs are associated with mare fill, implying basalt eruption facilitated by developed faults. Basin topography and mantle uplift on the farside are supported by a rigid lithosphere, whereas basins on the nearside deformed substantially with eruption. Variable styles of compensation on the near- and farsides suggest that reheating and weakening of the lithosphere on the nearside was more extensive than previously considered.
Phytochemical study and screening for antimicrobial activity of flavonoids of Euphorbia hirta

Objective: This study aims to phytochemical and antimicrobial study of Euphorbia hirta Euphorbiaceae). Materials and Methods: Antimicrobial activity of flavonoids (free and bound) of Euphorbia hirta L. was determined by disc diffusion assay against four bacteria (Escherichia coli, Pseudomonas aeruginosa, Proteus mirabilis, and Staphylococcus aureus) and four fungi (Aspergillus flavus, Aspergillus niger, Trichophyton mentagrophytes, and Candida albicans). Minimum inhibitory concentration (MIC) of the extract was evaluated through micro broth dilution method, while minimum bactericidal/fungicidal concentration was determined by subculturing the relevant samples. Total activity (TA) of extracts against each sensitive pathogen was also evaluated. Results: Out of fungi; A. flavus, A. niger, and T. mentagrophytes were found to be resistant, against which none of the tested extracts showed activity. Bound flavonoids extract of root showed best activity against C. albicans (inhibition zone (IZ) 27.66, MIC 0.039, minimum fungicidal concentration (MFC) 0.039). TA of free flavonoid extract of root was found to be the same for P. mirabilis and S. aureus (192.30 ml/g). Two flavonoids quercetin and kaempferol were identified in the bound flavonoids of stem extract which showed activity against all the microorganisms. Conclusion: Results of the present investigation indicate that E. hirta has good antimicrobial activity with low range of MIC, hence can be exploited for future plant-based antimicrobial drugs.
Kinetics model for the wavelength-dependence of excited-state dynamics of hetero-FRET sensors

Foerster (or fluorescence) resonance energy transfer (FRET) is a powerful tool for investigating protein-protein interactions, in both living cells and in controlled environments. A typical hetero-FRET pair consists of a donor and acceptor tethered together with a linker. The corresponding energy transfer efficiency of a hetero-FRET pair probe depends upon the donor-acceptor distance, relative dipole orientation, and spectral overlap. Because of the sensitivity of the energy transfer efficiency on the donor-acceptor distance, FRET is often referred to as a “molecular ruler”. Time-resolved fluorescence approach for measuring the excited-state lifetime of the donor and acceptor emissions is one of the most reliable approaches for quantitative assessment of the energy transfer efficiency in hetero-FRET pairs. In this contribution, we provide an analytical kinetics model that describes the excited-state depopulation of a FRET probe as a means to predicts the time-resolved fluorescence profile as a function of excitation and detection wavelengths. In addition, we used this developed kinetics model to simulate the time-dependence of the excited-state population of both the donor and acceptor. These results should serve as a guide for our ongoing studies of newly developed hetero-FRET sensors (mCerulean3–linker–mCitrine) that are designed specifically for in vivo studies of macromolecular crowding. The same model is applicable to other FRET pairs with the careful consideration of their steady-state spectroscopy and the experimental design for wavelength- dependence of the fluorescence lifetime measurements.
Epileptic Seizures Prediction Using Machine Learning Methods

Epileptic seizures occur due to disorder in brain functionality which can affect patient's health. Prediction of epileptic seizures before the beginning of the onset is quite useful for preventing the seizure by medication. Machine learning techniques and computational methods are used for predicting epileptic seizures from Electroencephalograms (EEG) signals. However, preprocessing of EEG signals for noise removal and features extraction are two major issues that have an adverse effect on both anticipation time and true positive prediction rate. Therefore, we propose a model that provides reliable methods of both preprocessing and feature extraction. Our model predicts epileptic seizures' sufficient time before the onset of seizure starts and provides a better true positive rate. We have applied empirical mode decomposition (EMD) for preprocessing and have extracted time and frequency domain features for training a prediction model. The proposed model detects the start of the preictal state, which is the state that starts few minutes before the onset of the seizure, with a higher true positive rate compared to traditional methods, 92.23%, and maximum anticipation time of 33 minutes and average prediction time of 23.6 minutes on scalp EEG CHB-MIT dataset of 22 subjects.
Do business ethics worsen during economic crises? A study of Russian attitudes

Do economic and financial crises lead to more unethical behavior? This is a question that the authors try to answer among samples of managers and business students in Russia. A number of studies conducted in the United /states and Europe have concluded that in some cases there has been no change in ethical behavior, but in others behavior has worsened. In practically all cases, however, more attention was paid to ethical issues as a result of the crises. Russia has been ranked very low in measures of business ethical behavior. While there is much room for improvement, there was not much hope that this would occur during an economic crisis. However, the purpose of this study was to determine what aspects of the ethical climate determine whether behavior will worsen, remain the same or improve during a period of economic crisis. Some of the major findings were that ethical behavior during crises were determined by self interest, disregard for others, a lack of religious conviction and reward or punishment.
Divergent selection for shape of growth curve in Japanese quail. 6. Hatching time, hatchability and embryo mortality

1. Hatching time, hatchability of fertile eggs and embryo mortality under standard egg storage (1 or 5 days at 12 ± 1°C and 55% relative humidity) and incubation conditions (37·5 ± 0·2°C and 50% relative humidity) were analysed in lines long-term selected for high (HG) and low (LG) relative weight gain between 11 and 28 d of age, respectively, and constant body weight at 49 d of age. 2. Egg storage duration did not have an effect on average hatching time. LG quail, characterised by a fast postnatal growth rate immediately after hatching, hatched earlier than HG quail with a low early growth rate (about 391 vs. 406 h after egg setting, respectively). 3. In contrast to hatching time, the hatchability of fertile eggs was influenced by line as well as egg storage duration. Extended storage decreased hatching success in both lines. However, LG eggs exhibited a higher hatchability than HG eggs (1 d storage: 96·0 vs. 82·5%; 5 d storage: 88·7 vs. 72·7%, respectively). 4. Lower hatchability resulted mostly from a higher frequency of embryo death during early (up to d 7) and late (d 14 and later) phases of incubation. 5. An inadequate nutrient supply to embryos in consequence of developmental delay seems to be a key factor decreasing viability of embryos during incubation.
Phobic postural vertigo

To the Editor: In the article by Professor Brandt,1 table 2, which is headed "Forms of psychogenic vertigo and dizziness (according to DSM-IV classification)," conveys the impression that postural phobic vertigo is a recognized diagnostic entry in the DSM-IV.2 We wish to point out that this is not the case, and that the existence of postural phobic vertigo as a distinct clinical entity can be challenged. Brandt may be right that psychogenic vertigo is common, but determining the actual occurrence may be difficult. Unlike other causes of vertigo (e.g., benign paroxysmal positional vertigo), it is almost impossible to confirm the diagnosis of psychogenic vertigo. In other areas of neurology, the clinician obtains …
The fetal aspects of Tay-Sachs disease.

Chemical studies were performed on three fetuse with Tay-Sachs disease. Only two chemical abnormalities were detected. One was the absence of hexosaminidase A activity in all tissues analyzed. The second was an increase in the percent of cerebral Gm2-ganglioside. In addition, abnormal inclusion bodies were seen in fetal neurons. These lipid cytosomes differed from the classical membranous cytoplasmic bodies seen in the postnatal state of Tay-Sachs disease. Screening of the Ashkenazi population and monitoring of high-risk pregnancies by amniocentesis is a means of reducing the incidence of Tay-Sachs disease.
Ovarian cancer risk factors by histologic subtypes in the NIH‐AARP diet and health study

Data suggest that risk factors for ovarian carcinoma vary by histologic type, but findings are inconsistent. We prospectively evaluated risk factors by histological subtypes of incident ovarian cancer (n = 849) in a cohort of 169,391 women in the NIH‐AARP Diet and Health Study. We constructed Cox models of individual exposures by comparing case subtypes to the entire non‐case group and assessed p‐heterogeneity in case–case comparisons using serous as the reference category. Substantial risk differences between histologic subtypes were observed for menopausal hormone therapy (MHT) use, oral contraceptive (OC) use, parity and body mass index (p‐heterogeneity = 0.01, 0.03, 0.05, 0.03, respectively). MHT users were at increased risk for all histologic subtypes except for mucinous carcinomas, where risk was reduced (relative risk (RR) = 0.37; 95% confidence interval (CI): 0.18, 0.80). OC users were only at significantly decreased risk for serous cancers (RR = 0.69; 95% CI: 0.55, 0.85). Although parity was inversely associated with risk of all subtypes, the RRs ranged from 0.28 (clear cell) to 0.83 (serous). Obesity was a significant risk factor only for endometrioid cancers (RR = 1.64; 95% CI: 1.00, 2.70). Our findings support a link between etiological factors and histological heterogeneity in ovarian carcinoma.
A classification of crosscutting concerns

Refactoring software to apply aspect oriented solutions requires a clear understanding of what are the potential crosscutting concerns and which aspect solutions to replace them with. This process can benefit from the recognition of recurring generic concerns and their reusable aspect solutions. In this paper, we propose a classification of crosscutting concerns in sorts based on the analysis of various refactoring efforts. We discuss how sorts help concern understanding and refactoring, how they support the identification of crosscutting concerns, and how they can contribute to the evolution of aspect languages.
Anti-malaria prescription in pregnancy among general practitioners in Enugu state, south east Nigeria

Background: The national policy on malaria control recommends use of intermittent preventive treatment with sulfadoxine/pyrimethamine (IPT-SP) for chemoprophylaxis against malaria in pregnancy; and use of quinine and arthemisinin-based combination therapy (ACT) for acute treatment of malaria in the first, and second/third trimesters, respectively. In Nigeria, a large proportion of pregnant women are seen by the general practitioners (GPs). Objective: To determine the pattern of anti-malaria prescription in pregnancy among GPs in Enugu state, and access the level of conformity with the national policy on malaria control. Materials and Methods: Questionnaires were administered to a cross-section of 147 GPs that attended the 2010 Enugu state branch of the Nigeria Medical Association Scientific Conference/Annual General Meeting/Election. Results: The mean age of the GPs was 37 ± 3.6 (range 27-70) years. Quinine was the commonly (45.6% (n = 67)) prescribed anti-malaria drug in the first trimester while in the second/third trimester ACT was commonly (48.3% (n = 71)) prescribed. Seventy-six (51.7%) practitioners prescribed IPT-SP for chemoprophylaxis against malaria while the rest (48.3%) prescribed other drugs. GPs who obtained MBBS qualification less than or equal to 5 years prior to the survey were more likely to comply with the national policy on malaria control in their prescriptions (P < 0.05). Conclusion: The pattern of anti-malaria prescription among GPs in Enugu state is varied, and conformed poorly to the evidence-based national policy on malaria control. There is need for continuing professional development to keep the GPs abreast with current trends in malaria treatment during pregnancy.
Mass spectrometry and illicit drug testing: analytical challenges of the anti-doping laboratories

Francesco Botrè, PhD Scientific Director, Laboratorio Antidoping FMSI, Largo Giulio Onesti 1, 00197 Roma RM ITALY; and Dipartimento per le Tecnologie, le Risorse e lo Sviluppo, “Sapienza” Università di Roma, Via del Castro Laurenziano 9, 00161 Rome, Italy francesco.botre@ uniroma1.it Tel. : +39 063 685 9600 Fax: +39 068 078 971 “LC/MS-MS systems, also equipped with the new generation of mass spectrometers, can be the ultimate tool for the anti-doping analyst. ”
Autochthonous Transmission of Trypanosoma cruzi, Louisiana

Autochthonous transmission of the Chagas disease parasite, Trypanosoma cruzi, was detected in a patient in rural New Orleans, Louisiana. The patient had positive test results from 2 serologic tests and hemoculture. Fifty-six percent of 18 Triatoma sanguisuga collected from the house of the patient were positive for T. cruzi by PCR.
Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier

The advent of Web 2.0 has led to an increase in the amount of sentimental content available in the Web. Such content is often found in social media web sites in the form of movie or product reviews, user comments, testimonials, messages in discussion forums etc. Timely discovery of the sentimental or opinionated web content has a number of advantages, the most important of all being monetization. Understanding of the sentiments of human masses towards different entities and products enables better services for contextual advertisements, recommendation systems and analysis of market trends. The focus of our project is sentiment focussed web crawling framework to facilitate the quick discovery of sentimental contents of movie reviews and hotel reviews and analysis of the same. We use statistical methods to capture elements of subjective style and the sentence polarity. The paper elaborately discusses two supervised machine learning algorithms: K-Nearest Neighbour(K-NN) and Naive Bayes and compares their overall accuracy, precisions as well as recall values. It was seen that in case of movie reviews Naive Bayes gave far better results than K-NN but for hotel reviews these algorithms gave lesser, almost same accuracies.
Prediction of height increment using preoperative radiological parameters following selective thoracic fusion with alternate-level pedicle screw construct in Lenke 1 and 2 adolescent idiopathic scoliosis patients

Purpose: This study aims to derive a formula to predict post-operative height increment in Lenke 1 and Lenke 2 adolescent idiopathic scoliosis (AIS) patients using preoperative radiological parameters. Methods: This study involved 70 consecutive Lenke 1 and 2 AIS patients who underwent scoliosis correction with alternate-level pedicle screw instrumentation. Preoperative parameters that were measured included main thoracic (MT) Cobb angle, proximal thoracic (PT) Cobb angle, lumbar Cobb angle as well as thoracic kyphosis. Side-bending flexibility (SBF) and fulcrum-bending flexibility (FBF) were derived from the measurements. Preoperative height and post-operative height increment was measured by an independent observer using a standardized method. Results: MT Cobb angle and FB Cobb angle were significant predictors (p < 0.001) of height increment from multiple linear regression analysis (R = 0.784, R 2 = 0.615). PT Cobb angle, lumbar, SB Cobb angle, preoperative height and number of fused segment were not significant predictors for the height increment based on the multivariable analysis. Increase in post-operative height could be calculated by the formula: Increase in height (cm) = (0.09 × preoperative MT Cobb angle) – (0.04 x FB Cobb angle) – 0.5. Conclusion: The proposed formula of increase in height (cm) = (0.09 × preoperative MT Cobb angle) − (0.04 × FB Cobb angle) – 0.5 could predict post-operative height gain to within 5 mm accuracy in 51% of patients, within 10 mm in 70% and within 15 mm in 86% of patients.