Miracle-dz/UniFAR-FTUs huggingface dataset:
Validation and stability indicating RP-HPLC method for the determination of tadalafil API in pharmaceutical formulations

The present study describes the development and subsequent of a stability indicating RP-HPLC method for the analysis of tadalafil. The samples separated on an Inertsil C18, (5 μ , 150 mm x 4.6 mm i.d) by isocratic run using acetonitrile and phosphate buffer as mobile phase), with a flow rate of 0.8 ml/min, and the determination wavelength was 260 nm for analysis of tadalafil. The described method was linear within range of 70 - 130 µg/ml (r 2 = 0.999). The precision, ruggedness and robustness values were also within the prescribed limits (< 1% for system precision and < 2% for other parameters). Tadalafil was exposed to acidic, basic, oxidative and thermal stress conditions and the stressed samples were analyzed by the proposed method. Chromatographic peak purity results indicated the absence of coeluting peaks with the main peak of tadalafil, which demonstrated the specificity of assay method for estimation of tadalafil in presence of degradation products. The proposed method can be used for routine analysis of tadalafil in quality control laboratories.
Prediction of Compressive Strength of In-Situ Concrete Based on Mixture Proportions

This paper presents the regression equation for predicting compressive strength of in-situ concrete. For this purpose, this study used the data of mixture proportions of ready-mixed concrete and test results of compressive strength at construction sites. This study used 1442 compressive strength test results obtained from the specimens having 59 different kinds of mixtures with specified compressive strength of 18~27MPa, water-cement ratio of 0.39~0.62, maximum aggregate size of 25mm, and slump of 12~15cm. Principal factors that influence compressive strength of concrete are selected by a correlation analysis, and then the multiple linear regression analysis is carried out for predicting compressive strength according to water-cement ratio or cement-water ratio, cement contents and cement-aggregate ratio.
FlexVRAN: A Flexible Controller for Virtualized RAN Over Heterogeneous Deployments

Alongside the mobile network evolution toward the fifth generation (5G) era, it is expected that the radio access network (RAN) will be the most challenging technology domain to serve multiple service requirements. Specifically, three critical aspects are particularly emphasized: (i) heterogeneous RAN deployments, (ii) RAN functional splits between disaggregated entities, and (iii) sliced RAN for multiple services. To synthesize these three different aspects, a unified and customizable control framework is needed to serve both needs of infrastructure provider and slice owner. To this end, we propose the FlexVRAN control framework as an extension to our previous work to provide a two-level abstraction scheme between the underlying physical infrastructures, logical base stations (BSs), and slice-specific virtual BSs. We present a proof-of-concept prototype of the proposed FlexVRAN over the OpenAirInterface (OAI) and FlexRAN platforms, and the evaluation results show the applicability and feasibility of software-defined RAN control over heterogeneous deployments in support of network slicing.
Local Feature Global Feature ! " # " ( a ) Lighting Calibration Network ( b ) Normal Estimation Network Input 1 Input

This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes based on deep learning. Unlike previous approaches that heavily rely on assumptions of specific reflectances and light source distributions, our method is able to determine both shape and light directions of a scene with unknown arbitrary reflectances observed under unknown varying light directions. To achieve this goal, we propose a two-stage deep learning architecture, called SDPS-Net, which can effectively take advantage of intermediate supervision, resulting in reduced learning difficulty compared to a single-stage model. Experiments on both synthetic and real datasets show that our proposed approach significantly outperforms previous uncalibrated photometric stereo methods.
Aalborg Universitet Influence of a marker-based motion capture system on the performance of Microsoft Kinect v 2 skeleton algorithm

Microsoft Kinect sensors are being widely used as low-cost marker-less motion capture systems in various kinematic studies. Previous studies investigated the reliability and validity of Microsoft Kinect sensors by employing marker-based motion capture systems. Both systems employ IR emitters and detectors to track human posture and physical activities. This paper hypothesizes that the motion capture systems may interfere with Microsoft Kinect One sensor and influence the sensor’s performance in tracking the skeleton. Hence, this study investigated the impact of a motion capture system on the Microsoft Kinect v2 skeleton algorithm using a mannequin in the presence of eight Qualisys Oqus 300/310 cameras and retroreflective markers. It was found that the motion capture system introduced a destructive impact on the Microsoft Kinect v2 skeleton tracking algorithm. In addition, it was observed that retroreflective markers placed near the joints caused the Microsoft Kinect v2 to give an incorrect reading of estimate the joint position. The motion capture cameras thus caused a timevarying distortion of the Microsoft Kinect estimate of the joint position. It is believed that the inference can be reduced by decreasing the number of markers and avoiding facing the motion capture cameras in sight of Microsoft Kinect v2.
Impact of Geological Variables in Controlling Oil-Reservoir Performance: An Insight from a Machine-Learning Technique

Predicting oilfield performance is extremely challenging because of the large number of variables that can influence and control it. Traditional methods such as decline-curve analysis have been commonly used but have been shown to have significant shortcomings. In recent years, advances in machine learning (ML) have provided a new suite of tools to tackle complex multivariant problems such as understanding oil-reservoir performance and predicating the final recovery factor. In this study, the application of a random-forest algorithm to train three predictive models and investigate the influence of the various input variables was investigated. To train the algorithm, a database was built that includes information on 32 variables from 93 reservoirs from the Norwegian Continental Shelf. These variables control or potentially influence field performance and include factors that are a function of geology, subsurface conditions, fluids, and the engineering decisions taken in field development. In addition to these controlling parameters, data were also recorded for the fields that record performance. These included information on the estimated recovery factor and production rates. Eighty percent of the data were input into the random-forest algorithm to train the models, whereas 20% were retained to blind test the subsequent models. Model accuracy was measured by comparing actual and predicted observations for each prediction metric using an R2 score, mean square error, and root mean square error. The production-rate model had a mean square error of 0.004, whereas the mean square error for recovery factor was 0.024. Estimates of average monthly depletion rate have a mean square error of 0.0104. Predictor importance estimates indicate that geology/depth-dependent variables such as stratigraphic heterogeneity, reservoir depth of burial, average porosity, and diagenetic impact are among the variables with high importance in predicting recovery factor. When predicting reservoir-oil rate, the most important variables are related to field size, such as cumulative oil produced, number of wells, oil in place (OIP), and bulk rock volume. In this study, we provide data-driven insight into understanding the relationship between subsurface and engineering conditions of reservoir producibility; we also provide a tool for predicating reservoir performance within a basin or region.
Effect of Silver Nanoparticles on the Treatment of Odontogenic- Induced Oro-facial Infection in Rats (Histological and Immuno-histochemical Study)

The origin of odontogenic oro-facial infections is either periodontal infections or dental caries, which have expanded beyond the alveolar bone for the involvement of the facial spaces and face. An increasingly growing problem in treating infectious diseases is Multi-drug resistance (MDR). After the introduction of nanotechnology, silver nanpoarticles (AgNPs) have become immense antimicrobial agents. This investigation aimed to study the effect of AgNPs in treatment of Porphyromonas gingivalis- induced oro-facial infection in rats using routine histopathological evaluation and immuno-histochemical investigation of TNF-α. Thirty adult male albino rats were used and divided into three equal groups. Group I: served as control. Group II: were infected once by intramuscular injection the cheek mucosa opposite to upper right first molar with 1 × 109 CFU/mL of Porphyromonas gingivalis, and left for fourteen days. Group III: were subjected to the same procedure as group II then to daily injection at the site of infection with AgNPs (10 nm) with a concentration of 15μg/ml of distilled water for fourteen days. At the end of the experiment, the animals were euthanized, samples were taken from the cheeks at the site of infection, processed and stained. The results revealed P. gingivalis- induced orofacial infection resulted in extensive tissues destruction as well as massive expression of TNF-α. The treatment with AgNPs resulted in marked improvement of the suppuration and regression in the inflammation as well as withdrawal of TNF-α expression. The author concluded that it is possible to employ AgNPs as wide spectrum antimicrobials against Multi- drug resistance.
A prospective study of the outcome of endoscopic haemorrhoidal ligation for symptomatic internal haemorrhoids

Aim: To evaluate the long-term outcome of endoscopic band ligation of symptomatic internal haemorrhoids. Methods: A total of 70 subjects fulfilling the inclusion criteria were included. After thorough history taking and proctoscopic examination, patients with symptomatic internal haemorrhoids were subjected to Endoscopic band ligation, and followed up at 2 weeks, 4 weeks, 2 months and 6 months, and assessed for pain, recurrence and bleeding. Results: The number of band ligations averaged 2.37 per subject. 4.3% of them experienced mild pain by 4 weeks, whereas the rest were free of pain. At the end of 6 months, 5.7% of subjects were still symptomatic and 8.6% had recurrent per rectal bleed. A total of 8.6% of subjects needed repeat ligation for alleviation of symptoms, and 1.4% needed definitive surgery. Conclusion: Endoscopic band ligation is a simple and effective procedure that can be carried out in symptomatic internal haemorrhoids on out-patient basis.
Long-term spot monitoring of the young solar analogue V889 Herculis

Context. Starspots are important manifestations of stellar magnetic activity. By studying their behaviour in young solar analogues, we can unravel the properties of their magnetic cycles. This gives crucial information of the underlying dynamo process. Comparisons with the solar cycle enable us to infer knowledge about how the solar dynamo has evolved during the Sun’s lifetime. Aims. Here we study the correlation between photometric brightness variations, spottedness, and mean temperature in V889 Her, a young solar analogue. Our data covers 18 years of spectroscopic and 25 years of photometric observations. Methods. We use Doppler imaging to derive temperature maps from high-resolution spectra. We use the Continuous Period Search method to retrieve mean V-magnitudes from photometric data. Results. Our Doppler imaging maps show a persistent polar spot structure varying in strength. This structure is centred slightly off the rotational pole. The mean temperature derived from the maps shows an overall decreasing trend, as does the photometric mean brightness, until it reaches its minimum around 2017. The filling factor of cool spots, however, shows only a weak tendency to anti-correlate with the decreasing mean brightness. Conclusions. We interpret V889 Her to have entered into a grand maximum in its activity. The clear relation between the mean temperature of the Doppler imaging surface maps and the mean magnitude supports the reliability of the Doppler images. The lack of correlation between the mean magnitude and the spottedness may indicate that bright features in the Doppler images are real.
The effect of industrial diversification on banks’ performance : a case study of the Norwegian banking market

By attracting deposits from savers and offering financing to borrowers, banks play an important role in the economy. Which strategic approach banks ought to pursue for optimizing performance and hence contribute to financial stability is a fundamental question in this context. In this thesis, we attempt to answer one aspect of this question by estimating the effect of industrial diversification on bank performance using annual data from 112 banks in Norway over the period 2004-2013. Employing several measures of portfolio diversification, we first estimate the average effect of diversification on bank performance. Then, we investigate whether the effect of diversification on performance is dependent on the underlying bank risk. Our findings suggest that increased diversification improves performance for banks in Norway. Moreover, we find that the effect of diversification is in fact dependent on bank risk. Increased diversification seems to be the superior strategy in low and high risk scenarios, while a more concentrated portfolio should be preferred at moderate risk levels. However, similar studies done in other developed countries find evidence that differs from our results. We address these contrasting results by arguing that differences in country-specific factors such as market structure and risk should be considered in order to make meaningful comparisons.
Research on User Information Behavior and Hotspot Prediction of WeChat Official Accounts Based on Sootoo Network

With the rapid development of mobile Internet, more and more attention has been paid to the new form of online social media represented by WeChat official accounts. However, these operators do not have clear ideas for enhancing WeChat heat, and clear and effective guidance on how to positively influence users' information behavior. Therefore, this paper combines the psychology neutral Stimulus-Response theory with the user information behavior research to construct a second-order user information behavior model. Then, through the official accounts data provided by the Sootoo Network, we collected a total of more than 10,000 push data of nine accounts from January to December, 2017. Based on the empirical research, we find the main influencing factors of user information behavior are identified, and construct a push hotspot prediction model. Also, this paper provides account operator with practical guidance significance in enhancing user information behavior.
Label Cover Reductions for Unconditional Approximation Hardness of Constraint Satisfaction

We give the first examples of non-trivially positively-useless predicates subject only to P ! = NP. In particular, for every constraint function Q : {-1,1}^4 -> R, we construct Contraint-Satisfaction-Problem (CSP) instances without negations which have value at least 1-eps when evaluted for the arity-four odd-parity predicate, yet it is NP-hard to find a solution with value significantly better than a random biased assignment when evaluated for Q. More generally, we show that all parities except one are positively useless. Although we are not able to exhibit a single protocol producing hard instances when evaluated for every Q, we show that two protocols do the trick. The first protocol is the classical one used by Hastad with a twist. We extend the protocol to multilayered Label Cover and employ a particular distribution over layers in order to limit moments of table biases. The second protocol is a modification of Chan's multi-question protocol where queried tuples of Label Cover vertices are randomized in such a way that the tables can be seen as being independently sampled from a common distribution and in effect having identical expected biases. We believe that our techniques may prove useful in further analyzing the approximability of CSPs without negations.
Discussion of Gene Hunting with Hidden Markov Model Knockoffs

We are very grateful to the editors for the opportunity to deepen and enlarge the reflection on the possible advantages of a knockoff approach to genome wide association studies. The discussants bring up a number of important points, either related to the knockoffs methodology in general, or to its specific application to genetic studies. In the following we offer some clarifications, 10 mention relevant recent developments and highlight some of the still open problems.
EnumerationofArchaea andBacteria in sea £ oor basalt using real-time quantitativePCRand £ uorescencemicroscopy

A SYBR Green real-time quantitative PCR (Q-PCR) assay for the detection and quantification of Bacteria and Archaea present in the glassy rind of seafloor basalts of different ages and water depths is presented. Two sets of domain-specific primers were designed and validated for specific detection and quantification of bacterial and archaeal 16S rRNA genes in DNA extracted from basaltic glass. Total cell numbers were also estimated by fluorescence microscopy analysis of SYBR Gold-stained samples. The results from the two different approaches were concurrent, and Q-PCR results showed that the total number of cells present in basalts was in the range from 6 10 to 4 10 cells g 1 basaltic glass. Further, it was demonstrated that these cells were almost exclusively from the domain Bacteria. When applying the same methods on samples of different ages (22 years–0.1 Ma) and water depths (139–3390 mbsl), no significant differences in cell concentrations or in the relative abundance of Archaea and Bacteria were detected.
Nature, age and emplacement of the Spongtang ophiolite, Ladakh, NW India

The Spongtang ophiolite (Ladakh, NW India) constrains the nature of oceanic lithosphere before Indo-Asia collision and key stages in the development of the Himalayas. We report whole-rock 40Ar/39Ar and in situ zircon 238U–206Pb ages from its crustal and upper and lower mantle sequences. Major and trace elements from harzburgite minerals suggest that the ophiolite formed at a mid-ocean ridge-type spreading centre, whereas published spinel compositions from Spongtang dunites are consistent with a suprasubduction-zone setting. Rare earth element-in-two-pyroxene thermometry for the harzburgite yields 1058 ± 13°C whereas temperature from solvus-based two-pyroxene and olivine–spinel thermometry is lower (to 656°C). The distribution suggests that the mantle section of the ophiolite cooled at rates of 100° Ma−1 or slower. Based on ages, major and trace element geochemistry, and geospeedometric estimates, we model the origin of the Spongtang ophiolite as forming within a mid-ocean ridge-type spreading centre with a spreading rate >2 cm a−1 in the Neotethyan Ocean, possibly from the Late Triassic to Jurassic. By the Early Cretaceous, the ridge experienced increasing influence of subduction beneath the Spongtang oceanic lithosphere owing to a subduction polarity reversal. Based on 238U–206Pb ages of the youngest Cenozoic zircon grain, latest obduction occurred between 64.3 ± 0.8 and 42.4 ± 0.5 Ma, in accordance with 56.7 ± 5.2 Ma whole-rock 40Ar/39Ar ages. Supplementary material: Excel files with details of electron microprobe and inductively coupled plasma mass spectrometry (ICP-MS) analyses, argon isotopic whole-rock and secondary ion mass spectrometry (SIMS) analyses, and the TREE calculations, including an inversion diagram showing regression through measured REE distributions in cpx and opx (from Liang et al. 2013), are available at https://doi.org/10.6084/m9.figshare. c.4261856
Issues in Healthcare Supply Chain Management: From Literature to Practice

This research aims to identify the main issues on healthcare supply chain management literature, to analyze a real healthcare unit supply chain. The results are a framework compiling literature review, that allowed designing the medicines and materials supply chain of a network of hospitals in Brazil. The method consisted in conducting the literature review, describing the actual model of the healthcare units, using process management approach, such as value-added chain representation, and designing the new supply chain, adopting Lean Healthcare tools, such as A3 to guide the analysis and problems solution. The study demonstrates that the literature lacks healthcare supply chain management, since most articles have a pharmaceutical or care bias. Thus, this article contributes with an applied experience, which benefits both literature and organizational practice.
Electron spin resonance of single‐walled carbon nanotubes and related structures

We report new results on the electron spin resonance of single walled carbon nanotubes, peapods and double walled carbon nanotubes. A small ESR line is present in well purified samples and its temperature dependence reveals a striking ‘super‐Curie’ paramagnetic rise. In addition, we identify a narrower line in peapod and DWNT samples, which displays similar behavior. The linewidth of both inner and outer species are metallic and the outer tube's resonance broadens upon growth of the inner tubes. We observe a sudden decrease of relaxation rate below 20 K, in accordance with the opening of a spin‐gap. (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Markers Defining Pre Dialysis Chronic Kidney Disease Nutritional Status.

Patients with Chronic kidney disease have poor nutritional status due to inadequate dietary intake, anorexia, hormonal disturbances, increase in resting energy expenditure, inflammation, metabolic acidosis, polypharmacy and co morbid conditions. Patients become malnourished which is progressive in nature and results in increased susceptibility to infection, impaired wound healing and loss of strength and vigour. Therefore it is essential to assess their nutritional status to improve their quality of life, decrease hospitalization and morbidity. Nutritional assessment, a complex, in depth process, confirms the presence, extent and degree of severity of malnutrition and determines the nutritional needs of the patient. There are two assessment methods i.e. Subjective which includes clinical history, nutritional physical examination and objective methods i.e. anthropometry, biochemistry and body composition. Metabolic and functional changes which occur in the initial stages of malnutrition are detected by clinical and biochemical markers whereas anthropometric markers can only be used for established malnutrition. As per studies, there is not even a single method to correctly assess nutritional status of chronic kidney disease patients because these techniques are affected by the hydration status of the patient, inflammation and disease state, body fat percent, cost factor, standardisation method and subjective nature of the tool. Thus more than one marker is needed which should be sensitive, easy to perform, valid, reliable and should accurately identify those with and without nutritional problem.