Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutritional-metabolic factors affecting nitrogen balance and substrate utilization in the critically ill

Abstract To determine clinical, anthropometric, metabolic, and nutritional factors affecting nitrogen balance somatic protein status and substrate utilization in critically ill children measured energy expenditure (MEE) was measured by indirect calorimetry within 24 hr of an acute illness, solid organ transplantation, or cardiovascular surgery. Predicted basal metabolic rate was calculated using the Schofield equation. Somatic protein was estimated by the creatinine-height index. Nitrogen balance (NB) was calculated by subtracting the total nitrogen input from output. The net substrate (fat, carbohydrate, and protein) oxidation rates were calculated using the Weir formula modified by Frayn. Sixty-eight NB studies, indirect calorimetric and anthropometric measurements performed in 37 patients. Nitrogen balance was worse when the MEE/Predicted basal metabolic rate ratio was < 0.9 or > 1.1. The incidence of negative NB was 91% when the caloric intake was less than MEE and 9% when it was equal to or greater than MEE (P < 0.05). On day 1, 27% had mild to moderate somatic protein depletion and 5.4% had severe somatic protein depletion. Only the persistence of stress and co-morbidity were associated with the creatinine-height index (P < 0.001). Without Multiple Organ System Failure (MOSF), there was a trend toward positive nitrogen balance by day 7 while with MOSF, negative nitrogen balance persisted even by day 7 (P < 0.05). When caloric intake was less than MEE, mean substrate utilization was 48.6% from lipid, 37.1% from carbohydrate, and 14.3% from proteins. But, when caloric intake was greater than MEE, mean substrate utilization was 83.3% from carbohydrate and 16.7% from protein. Significant negative nitrogen balance and somatic protein depletion develops in critically ill pediatric patients, especially when they are inadequately fed, develop MOSF, or have previous chronic illness. Caloric intake and MOSF independently affect substrate utilization.
Multi-Instance Event Detection for Exploring Hate Crimes

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MOLECULAR DETECTION OF KLEBSIELLA OXYTOCA ISOLATED FROM CLINICAL SOURCES

The present study is an attempt for detection of Klebsiella oxytoca by conventional and multiplex PCR methods using species-specific primers for these K. oxytoca that are collected from patients to find out more specific, sensitive and rapid diagnosis method for this bacteria and to detect the tonB gene as virulence factor for these K. oxytoca. A total of 100 (urine, stool, sputum, CSF and tools of hospitals) samples have been collected from UTI patients in four hospitals of Baghdad City which include Baghdad Teaching Hospital/Medical City, Al-kindi Teaching, Al–Nursing home Hospital, Al-Hariri specialized surgery Teaching Hospital, Al-Yarmuk Teaching Hospital, AL-Abn Al-baladi Teaching Hospital. From the beginning of November 2017 to the end of February 2018, out of 100 (100%) samples, 50 (62.5%) samples have been detected for K.oxytoca other bacterial isolate including Staphylococcus, Pseudomonas , Proteus 'Staphylococcus aureus' Escherichia, Shigella, Enterobacter, K. oxytoca isolate identification depending on the morphologic characteristics on the culture media including, blood agar, MacConkey agar, as well as the biochemical tests including the manual biochemical tests that include catalase, oxidase and tests and the automated biochemical tests such as API 20E, VITEK 2 system. Results declared that, generally the genomic DNA of K. oxytoca isolates were extracted using wizard genomic DNA purification kit, the extracted genomic DNA was analyzed using 1% agarose gel electrophoresis and then the concentration and purity of the extracted genomic DNA were determined using Nanodrop spectrophotometer device. To detect the K. oxytoca isolates by molecular methods, the extracted genomic DNA of these isolates was submitted for amplification to detect the tonB gene by the singleplex PCR method using species-specific primers for K. oxytoca, to sum up 50 (50%) out of 100 samples were detected for K. oxytoca by observing the singleplex PCR product of tonB gene with ~700bp, in the agarose gel electrophoresis. all the positive samples of singleplex PCR for these K. oxytoca showed positive results.
Europium adsorption by non-treated and chemically modified opuntia ficus indica cactus fibres in aqueous solutions

AbstractThe sorption efficiency of Opuntia ficus indica cactus fibres regarding the removal of trivalent europium (Eu(III)) from aqueous solutions has been investigated prior and after the chemical treatment (phosphorylation and MnO2-coating) of the biomass. The removal efficiency has been studied as a function of pH, europium concentration, mass of the adsorbent, ionic strength, temperature and contact time. Evaluation of the experimental data shows that biosorption is strongly pH-depended and that the MnO2-coated product presents the highest sorption capacity followed by the non-treated and phosphorylated material. Results have been analysed by Langmuir, Freundlich and Dubinin–Radushkevich isotherms, and the Langmuir model is more suitable to describe the process. The sorption reactions are entropy-driven, and the kinetics follows a pseudo-first order rate expression, described by Lagergren. In addition, the results show that the fibres of the Opuntia ficus indica cactus possess significantly higher sor.
Deep Multi-Label Multi-Instance Classification on 12-Lead ECG

As part of the PhysioNet/Computing in Cardiology Challenge 2020, we developed an end-to-end deep neural network model based on 1D ResNet and an attention-based multi-instance classification (MIC) mechanism, named as MIC-ResNet, requiring minimal signal preprocessing, for identifying 27 cardiac abnormalities from 12-lead ECG data. Our team, ECGLearner, achieved a challenge validation score of 0.486 and a full test score of 0.001, placing us 33 out of 41 in the official ranking of this year's challenge.
Formulation and Evaluation of Topical Gel of Ketoprofen Using Different Polymers

A wide choice of vehicles ranging from solids to semisolids form has been used for skin care and topical treatment of dermatological disease, High molecular weight water soluble polymers of Hydroxypropyl methylcellulose (HPMC), Carbopol 934, Carbopol 940, Sodium CMC that possess very high viscosity, transparency, film forming properties at low concentration, are reported to useful in formation of gel. In the present investigation Ketoprofen gels were prepared for topical drug delivery by using HPMC, Sodium CMC, Carbopol 934, Carbopol 940 alone and in different combination. From the study it was concluded that F4 & F2 are better formulation among all the prepared formulation and marketed gel.
Auxetic metamaterials exhibiting giant negative Poisson's ratios

Auxetic metamaterials have generated a great deal of interest in recent years. In this letter, a novel approach which can be used to produce such auxetic metamaterials is presented. This method involves the introduction of patterned slit perforations within a sheet/block of material in order to create systems which resemble a large variety of auxetic systems ranging from rotating units to chiral honeycombs. These perforated systems have also been shown to have the potential to exhibit giant negative Poisson's ratios. (© 2015 WILEY‐VCH Verlag GmbH &Co. KGaA, Weinheim)
Emulsion-templated porous polymers as scaffolds for three dimensional cell culture: effect of synthesis parameters on scaffold formation and homogeneity

Emulsion-templated porous polymers (PolyHIPEs) based on polystyrene have been prepared and used for in vitro 3D cell culture of osteoblastic cells. It has been found that the method employed to prepare the emulsion precursor, namely the method of aqueous phase addition, has a significant influence on the homogeneity of the morphology of the material produced as well as the reproducibility of preparation. Addition of the aqueous phase in a controlled manner by means of a syringe pump produced a narrower void size distribution range than addition from a dropping funnel, and the emulsions were obtained in a reproducible manner. Analysis of the morphology of the materials revealed consistency of average void and interconnect diameter, within certain limits. The materials produced were subsequently sectioned into thin membranes which were then mounted to the base of commercially available tissue culture plastic well inserts. Cell culture experiments using MG63 osteoblast-like cells indicated that the materials were capable of supporting cell growth for periods of up to 35 days, producing complex arrangements of cells interacting with one another and the scaffold. The functionality of cells grown on these materials, as indicated by viability assays and the production of biomarkers (alkaline phosphatase and osteocalcin), was found to be enhanced compared to cells grown on 2D substrates. We conclude that the 3D environment produced by these porous materials is more conducive to cell growth in vitro than existing 2D culture plastic.
Contour Modes of Square Plates excited Piezoelectrically and Determination of Elastic and Piezoelectric Coefficients

The suitability of square plates, vibrating in contour modes, for the determination of piezoelectric coefficients is considered. Piezoelectric measurements on such plates provide checks for the theoretical solution of the various modes and in particular for the distribution of displacement. The recently published solutions for square plates form a basis for this work and the reliability of these solutions is discussed. The materials used were sodium chlorate, sodium bromate, quartz, ammonium dihydrogen phosphate and ethylene diamine tartrate (EDT). New determinations of the elastic and piezoelectric coefficients of these materials have been made, with the exception of EDT, the data for which were published in a previous paper
Safety Ranges for Heart Rate Variability Parameters in Hyperbaric Environments

The Autonomic Nervous System (ANS) tries to maintain homeostasis in hyperbaric environments, but its activity may present large variability between subjects. The aim of this study is to establish safety ranges for ANS-related indices derived from the electrocardiographic signal (ECG) during diving and use them to identify subjects with abnormal ANS response and avoid potential diving accidents. A database with ECG recordings from 28 subjects introduced into a hyperbaric chamber was used. During immersion, five stages were studied at 1, 3 and 5 atm during descent and ascent. Indices of heart rate variability, extracted from ECG, reflecting the sympathetic and parasympathetic ANS response, were calculated and regularised with respect to their values at the initial stage at 1 atm. In particular, four time-related parameters extracted from the RR series and four frequency parameters based on the powers of the low and high frequency bands were used. High inter-subject variability in the ANS response was observed in all stages. The eight parameters were analysed for each stage and, as a result, some subjects presented highly uncommon responses with higher chances of suffering a diving accident, reflected in many parameters out of the interquartile range. This allows establishing safety ranges for ANS-related parameters that can help in the identification of subjects with potential health risk.
In situ co-pyrolysis fabrication of CeO2/g-C3N4 n–n type heterojunction for synchronously promoting photo-induced oxidation and reduction properties

Development of efficient photocatalysts with both photoinduced oxidation and reduction properties is of great importance for environmental and energy applications. Herein, we report the fabrication of CeO2/g-C3N4 hybrid materials by a simple in situ co-pyrolysis method using Ce(IO3)3 and melamine as precursors. The CeO2/g-C3N4 composite catalysts possess outstanding photocatalytic activity for phenol degradation and NO removal under visible light irradiation. The degradation efficiency reaches up to 68.5 and 17.3 times higher than that of pure CeO2 and g-C3N4, respectively. Significantly, it simultaneously exhibits an enhanced hydrogen production rate, which is 1.5 times that of the pure g-C3N4. The highly enhanced photo-induced oxidation and reduction activity could be attributed to the construction of a CeO2/g-C3N4 n–n type heterojunction established by our in situ co-pyrolysis route, which enables intimate interaction across the phase interfaces; this facilitates separation and transfer of photoexcited charge carriers. This study could not only provide a facile and general approach to the fabrication of high-performance carbon-nitride-based photocatalytic materials, but also increase our understanding further on designing new hybrid composite photocatalysts for multi-functional applications.
Chemical precipitation and characterization of multicomponent Perovskite Oxide nanoparticles – possible cathode materials for low temperature solid Oxide fuel cell

A set of multicomponent perovskite oxide nanoparticles based on La1-xSrxCo1-yFeyO3-δ(LSCF) were prepared by a simple chemical precipitation method for application in low temperature solid oxide fuel cells (LT-SOFC) as cathode materials. The precursor materials used in this synthesis were lanthanum nitrate hexahydrate [La(NO3)3.6H2O], strontium nitrate [Sr(NO3)2], cobalt nitrate hexahydrate [Co(NO3)2.6H2O], ferric nitrate nonahydrate [Fe(NO3)3.9H2O] [as basic materials] and sodium hydroxide [as precipitator material] and PVA [as surfactant]. Throughout the experiment, pH was maintained as pH > 9 by the addition of alkali (NaOH). A mixture of metal hydroxides (brown coloured) was formed when the aqueous mixture of basic materials mixed with the aqueous precipitant (NaOH) solution in proper stoichiometric compositions. The resultant hydroxide mixture was washed with ethanol and water mixture (1:9 volume %) to remove any unwanted impurities present along with the precipitate. The purified precipitate was dried at 50 – 100 o C and heat treated at 300 o C, 450 o C, 600 o C and 750 o C for 2 hours each to get phase pure composite oxide powder. The resultant powder was characterized with TGA / DTA, XRD, FT-IR, Particle Size analysis and SEM. From the results, it was found that the chemical precipitation can be used effectively to prepare phase pure multicomponent perovskite oxides for application in SOFCs.
Quantitative Assessment of Respiratory Distress Using Convolutional Neural Network for Multivariate Time Series Segmentation

Respiratory Distress (RD) is typically associated with many critical conditions, particularly in aged population. The present-day monitoring solutions do not track the severity of RD distinctly and this obscures accurate prognosis. Our method quantifies RD condition to a ‘Severity Index (SI)’ in a real time monitoring setup. We achieve this by tracking pattern of respiratory rate (RR), oxygen saturation (SpO2) and heart rate (HR) over time using Convolutional Neural Network (CNN) based model for multivariate time series segmentation. The CNN based approach is then compared with other two different approaches viz. Long-Short Term Memory (LSTM) model and Bayesian Inference model based on Symbolic Aggregate approXimation (SAX). We work on segments extracted from 180 records of MIMIC-III Clinical and Waveform Database, after getting them clinically annotated. Our CNN, LSTM and SAX models achieve RMSE (Root Mean Square Error) of 0.288, 0.301 and 0.305 respectively with respect to the clinical annotations. All methods achieve AUC (Area Under Curve for Receiver Operating Char-acteristic(ROC)) close to 0.95. The dataset, code and trained models are available at https://github.com/rohit-pardasani/RDSegmentation_v1.
Phytoextraction and Assisted Phytoextraction of Metals from Agriculture Used Soil

The clone (Salix × smithiana, Willd.) was cultivated in lysimeter pots to monitor lead (Pb), cadmium (Cd), and zinc (Zn) leachate and to compare the effect of ectomycorrhizal inoculum (ECMI; Paxillus involutus, Bartsch. ex Fr.) on plant growth and metal uptake by willows during two consecutive vegetation periods. The willow clone was able to reduce metal leaching significantly because of its high phytoextraction potential. In addition, ECMI (i) significantly enhanced plant growth; (ii) decreased metal-induced plant stress, which was represented by greater Ntotal in biomass and by greater productions of free amino acids AAfree (from 128 ± 10 to 204 ± 16 μmol kg−1 fresh weight); and (iii) showed no additional effect of metal uptake. Furthermore, treated willows were affected indirectly, probably because of unsuccessful inoculation by Paxillus involutus, Bartsch. ex Fr. , caused by high level of volumetric water content (θv) during both vegetation periods (θv = 25%).
COMPARAÇÃO DE DIFERENTES MÉTODOS ANALÍTICOS PARA QUANTIFICAÇÃO DE LIPÍDIOS EM CREME DE RICOTA

The complexity of each sample makes impossible to describe only one method of analysis as the best, therefore, we should consider the advantages and disadvantages of each method and relate it with the sample. The aim of this study was identify the best method for lipids quantification in ricotta cream with a comparative study of three physico-chemical methods of analysis for lipids. The methods used were Soxhelt (hot extraction, using ether as solvent), Bligh; Dyer (cold extraction with chloroform, methanol and water) and Gerber (acid hydrolysis, using sulfuric acid and isoamyl alcohol). We evaluated the method in this study, among those mentioned, which would provide greater efficiency and reproducibility. The method of Gerber had the lowest performance among the methods tested, although not statistically differ from the Soxhlet method, the reproducibility of Gerber detract this type of method. The Soxhlet method showed better reproducibility of results, and values closer to those pre-determined for this sample. Bligh; Dyer method showed the highest yield of the lipid content of the sample, so the hot extraction methods (Soxhlet) and cold (Bligh; Dyer) are those that best show the lipid content of ricotta cream analyzed.
BACTERIA ASSOCIATED WITH ENTERITIS IN BROILERS IN FAYOUM GOVERNORATE

Concerning the type of isolated bacteria from broiler chickens E. coli was the predominate (59.3) %. 53.3%of isolates were from diarrheic birds and 6.0% from apparently healthy chickens, followed by Proteus mirabilis (14.8%). Out of them were 11.6% from diarrheic birds and 3.2% from apparently healthy birds. And Proteus vulgaris (3.3%). Out of them were 2.5% from diarrheic broiler chickens and 0.8% from apparently healthy one.
Analysis of Banding in 26-27 December 2010 East Coast Blizzard

Blizzard conditions occurred in the New York City metropolitan area and portions of adjacent southern New England on 26-27 December 2010 in conjunction with a strong coastal cyclone. Parts of New Jersey received over 80 cm of snow while Long Island and coastal Connecticut observed wind gusts of over 30 ms. The heaviest snow was concentrated along a north-south oriented mesoscale snowband that extended from coastal New Jersey northward through the New York City metropolitan area. This mesoscale snowband, which remained quasi-stationary for approximately 12 h, was associated with strong low and mid-level frontogenetical forcing. In addition to the primary band, 8 secondary bands were observed in the radar imagery which contributed to locally higher snowfall amounts and rates as the bands translated westward across Long Island. Information regarding mesoscale banding will first be discussed in order to compare and contrast this case with others. A summary of the storm's impacts will briefly be presented in order to demonstrate the storm's significance. An overview of the synoptic environment will be discussed using the 0.5o NCEP GFS analyses focusing on dynamics from a quasi-geostrophic perspective. Mesoscale features such as the persistent band over New Jersey will be identified using radar data and surface observations. The forcing behind this mesoscale band will be examined in greater detail using the GFS and 20-km RUC analyses and soundings from the NWS operational Doppler radar at Upton (KOKX), New York with emphasis on frontogenetical processes. In addition, an analysis of the strong wind gusts as they relate to an overnight spike in the low-level winds and convective mixing will also be presented.
Model-Based Estimation of Electrocardiographic QT Interval From Phonocardiographic Heart Sounds in Healthy Subjects

The electrocardiographic QT interval is an index of cardiac risk commonly used in clinics. Accurate QT measure is challenging, especially in noisy conditions, when acquisitions of phonocardiograms (PCGs) may be more reliable than acquisitions of electrocardiograms (ECGs). However, PCG features are less used in clinics. Thus, aim of the study was to propose a model for indirectly measuring the electrocardiographic QT interval from the phonocardiographic heart sounds in healthy subjects. To this aim, simultaneously acquired PCGs and ECGs of 99 healthy subjects were processed to obtain median PCG and ECG beats. Beat length, S1 onset and S2 onset were identified from the median PCG beat, while QT interval (QT) was measured from the median ECG beat. Then, a regression model was formulated by regression analysis to obtain PCG-based QT estimation (QT) and validated by leave-one-out cross-validation. Correlation coefficient (p) and estimation error were also computed. QT and QT did not differ significantly (model formulation: 362ms vs 358ms; model validation:360ms vs 358ms, respectively; P>0.5) and were significantly correlated (model formulation: p=0.7, p<10−13; model validation: p=0.6, P<10−10); median error is 1 ms (<0.5 in %). Thus, the proposed model provides a reliable estimation of QT interval from PCG heart sounds in healthy subjects.
Baroreflex Sensitivity Evolution Before Weaning From Mechanical Ventilation

Weaning is the process of withdrawing mechanical ventilation at the Intensive Care Units. The problem is that around 20% of weaned patients were not actually ready for discontinuation. Studies suggest that vagal dysfunction is lower in patients successfully weaned. Therefore, the Baroreflex Sensitivity (BRS) and Heart Rate Variability (HRV) are estimated to see if they can provide additional information to improve the prediction of weaning outcomes. 9 successfully weaned patients (S-group) and 6 unsuccessfully weaned (F-group) were monitored in the last hour prior to the Spontaneous Breathing Trial. The BRS is estimated through spectral analysis, to obtain the a parameter in the low and high frequency bands, and through the capacity, C, estimated by the Bivariate Phase Rectified Signal Average (BPRSA) method. The current clinic parameters of weaning readiness do not show statistical differences. However, the capacity to changes of the BRS, C, estimated via BPRSA, exhibits significant differences between the two groups. Negative values of C, and with higher absolute values, were obtained for the S-group. Temporal indices of HRV also show differences, but not significant. These results suggest that BRS should be further explored for predicting weaning outcomes.