Miracle-dz/UniFAR-FTUs huggingface dataset:
Formulation of functional beverages from the combination of lime, tomato, and carrot using foam-mat drying method

Lime, tomato, and carrot are natural ingredients widely used both as food and herbal medicines particularly because these plants contain various antioxidant compounds such as vitamin C, phenolics, flavonoids, and carotenoids. Since these materials are easily damaged when exposed to high temperatures, any processing methods that involve slight quality changes in the final product are favorable. This study aimed to formulate lime, tomato, and carrot into functional beverages using foam-mat drying method. Lime juice combined with either tomato paste or carrot juice was mixed with egg white and methylcellulose as foaming agents, then whipped using a mixer for 10 minutes to form a stable foam. The foam was placed in a stainless tray, flattened, and dried in an oven at 60°C for 5 hours. Once dried, the mass was scraped using a spatula, and the resultant dry powder was then evaluated for its physical characteristics and antioxidant activities using nitrite oxide (NO) method. The produced dry mass of lime, lime-tomato (1:1), and lime-carrot (1:1) had organoleptic characteristics, water content, sugar content, and food additives content in accordance with the Indonesian National Standard (SNI). Also, with the IC 50 values of 4248, 4931, and 4218 µg/ml, the lime juice and its combination with tomatoes (1:1) and carrots (1:1) can be formulated into functional powder drinks that comply with the SNI quality requirements. Lime-carrot is a better combination than lime-tomato.
Privacy Preserving Machine Learning, A Survey

—This survey focuses on understanding various solutions and mechanisms of preserving privacy and their application in Machine Learning algorithms. It gives a concise summary of the privacy-utility trade-offs achieved by various methods of preserving privacy in different settings of querying, involvement of data sources and distribution. It pays special attention to the technique - differential privacy. In general, we can assume that data sources value their privacy and a participant in a survey would participate only if he/she has the guarantee that his/her data is at least as private as it would be if he/she chose not to participate in the survey at all.
The medicinal plant components and applications ( Aloe vera ) Mini

Aloe vera has marvelous medicinal properties. Aloe vera is one of the most powerful and well –known medicinal plants . it has been used for more than 5000 years, and traces of it have been found in numerous civilization. Today, it has a strong global reputation due to its widespread usage in cosmetics, particularly to treat burns and sunburn, to aid wound healing, and to fight against cell aging. Aloe vera plant also used as reinforce the immune system and improve blood circulation . The range of usage of Aloe vera is thus very blood even if it has very specific benefits for the skin. The ten main areas of chemical constituents of Aloe vera include amino acids, anthraquinones, enzymes minerals, vitamins, lignin’s, monosaccharide’s, polysaccharides, salicylic acid, saponins, and steroids. Many benefits and properties are found in Aloe vera, due to present components in it . Now a days, many products in the market are available in the form of Aloe vera products such as juice, cream, shampoo,sweets and many other things. Medicated plants have major impact on the day-today life. These types of plant are effectively and economically, which are adopted in different field of science and technology. The aim of review is to study the back ground, characteristic and application of Aloe vera plant. The discussion shows that it’s physically, biologically and chemically suitable in many applications.
Diplopia; an Adverse Effect of Citalopram

Citalopram, a selective serotonin reuptake inhibitor (SSRI), was approved by the Food and Drug Administration in 1998 as a safe and well-tolerated antidepressant; the use of it may result in rare and sometimes dangerous side effects. Diplopia is a rare adverse effect of citalopram that comes with double vision and disrupts daily living. Currently, only two cases of citalopram-related diplopia have been internationally reported. The current paper presents a third reported case of diplopia following citalopram use in a healthy subject. A 47-year-old man involved in an accident was subsequently affected by serious depression. Following 6 months of a 40-mg daily dose of citalopram, the patient complained of itchy irritated eyes and double vision symptomatic of diplopia. He was referred to an eye specialist, who confirmed no apparent problems following an examination of the eye. After a decrease in the dose of citalopram, the eye symptoms steadily decreased and eventually disappeared. The rapid disappearance of diplopia subsequent to the discontinuing use of citalopram suggests an association between the adverse reaction and the medicine. As a result, it is recommended that physicians inform patients of the possibility of induction of diplopia related to the use of citalopram and other SSRIs. In the future, the prescription of SSRIs at higher doses may be ordered with and on the recommendation of patients, who have been aware of the risks of the drug.
East is East and West is West: Population genomics and hierarchical analyses reveal genetic structure and adaptation footprints in the keystone species Paracentrotus lividus (Echinoidea)

The Atlanto‐Mediterranean edible purple sea urchin, Paracentrotus lividus, is a commercially exploited keystone species in benthic communities. Its browsing activity can deeply modify the littoral landscape, and changes in its abundance are of major conservation concern. This species is facing nowadays contrasting anthropogenic pressures linked to predator release, exploitation and sea warming. Management of this key species requires knowledge of its genetic structure, connectivity and local adaptation. Our goal was to assess the current global status of the species under a genomic perspective.
Reconciling the surface temperature–surface mass balance relationship in models and ice cores in Antarctica over the last two centuries

Abstract. Ice cores are an important record of the past surface mass balance (SMB) of ice sheets, with SMB mitigating the ice sheets’ sea level impact over the recent decades. For the Antarctic Ice Sheet (AIS), SMB is dominated by large-scale atmospheric circulation, which collects warm moist air from further north and releases it in the form of snow as widespread accumulation or focused atmospheric rivers on the continent. This implies that the snow deposited at the surface of the AIS should record strongly coupled SMB and surface air temperature (SAT) variations. Ice cores use δ18O as a proxy for SAT as they do not record SAT directly. Here, using isotope-enabled global climate models and the RACMO2.3 regional climate model, we calculate positive SMB-SAT and δ18O-SMB correlations over ∼90 % of the AIS. The high spatial resolution of the RACMO2.3 model allows us to highlight a number of areas where SMB and SAT are not correlated, and show that wind-driven processes acting locally, such as Foehn and katabatic effects, can overwhelm the large-scale atmospheric input in SMB and SAT responsible for the positive SMB-SAT correlations. We focus in particular on Dronning Maud Land, East Antarctica, where the ice promontories clearly show these wind-induced effects. However, using the PAGES2k ice core compilations of SMB and δ18O of Thomas et al. (2017) and Stenni et al. (2017), we obtain a weak correlation, on the order of 0.1, between SMB and δ18O over the past ~150 years. We obtain an equivalently weak correlation between ice core SMB and the SAT reconstruction of Nicolas and Bromwich (2014) over the past ~50 years, although the ice core sites are not spatially co-located with the areas displaying a low SMB-SAT correlation in the models. To resolve the discrepancy between the measured and modeled signals, we show that averaging the ice core records in close spatial proximity increases their SMB-SAT correlation. This increase shows that the weak measured correlation likely results from random noise present in the ice core records, but is not large enough to match the correlation calculated in the models. Our results indicate thus a positive correlation between SAT and SMB in models and ice core reconstructions but with a weaker value in observations that may be due to missing processes in models or some systematic biases in ice core data that are not removed by a simple average.
Decomposing Socio-Economic Inequalities in Nutritional Status among Siblings in High and Low Fertility States of India

Child malnutrition is a persistent global health problem with significant consequences on infant and young child mortality, morbidity, and reduced life span. In India, over-population and poverty are continual and causing population vulnerability, particularly malnutrition among women and children. Poor diet and infectious diseases interact to cause growth failure in children, physiological damage, especially of the immune system. Using secondary data from the National Family Health Survey (NFHS-4), this study quantifies the extent of the relative contribution of socio-economic factors to the inequality in stunting, wasting, and underweight in India. This study applied Wagstaff decomposition analysis, and CI estimates to quantify the extent of inequality. The findings show that the rate of stunting and underweight is increasing with the increase in age and birth order. However, child malnutrition is decreasing with the mother's educational status, higher utilization of maternal health services, and mother's BMI more than 24.9. Further, CI estimates show a substantial inequality in stunting (CI=-0.156), wasting (CI=-0.060), and underweight (CI=0.160) in India, which is pro-poor inequality concentrated among the poor. The findings of decomposition analysis reveal that mothers with secondary and higher education, BMI of (18.5-24.9), and high utilization of maternal health services were contributing more to the inequality in child malnutrition. This study suggests that promotion of nutrients rich food intake is essential for children at an early age to attain their developmental potential and along with improvement in mother's education and health as it has a substantial contribution in child health.
Examination of the Relationship among Adolescents' Subjective Wellbeing, Parenting Styles with Smartphone in Terms of Different Variables.

Article History: Received 22.05. 2019 Received in revised form 05.10. 2019 Accepted 15.10. 2019 Available online 31.01. 2020 Aim of this research is to examine the relationship between adolescents’ subjective well-being and parenting style and smartphone addiction by several variables. The research population was composed of high school students studying in Kocaeli province in the academic year of 2017-2018. The sample was composed of 671 adolescents attending 6 different high schools which were randomly chosen out of this population. 313 (46.6%) of the participants are female, 358 (53.4%) of them are male. Relational survey model was used in the research. Data were collected using Personal Information Form, Smartphone Addiction Scale, Adolescent Subjective Well-Being Scale and Parenting Style Inventory. It was found in the research that participants’ smartphone addiction levels did not differ statistically and significantly by gender, whether parents were together or divorced, and parental income. A negative significant relationship was found between academic achievement and smartphone addiction. According to the analysis results, as the smartphone usage duration extended, smartphone addiction level increased. The results of the analysis conducted to determine whether smartphone addiction was predicted by adolescents’ subjective well-beings and the parenting styles (acceptance/involvement, psychological autonomy and strictness/supervision) showed that all variables other than parental acceptance were negative significant predictors of smartphone addiction. It was concluded that subjective well-being was the most important predictor of smartphone addiction. © 2020 IJPES. All rights reserved
Phase II study of the MEK inhibitor refametinib (BAY 86-9766) in combination with gemcitabine in patients with unresectable, locally advanced, or metastatic pancreatic cancer: Biomarker results.

4129 Background: Refametinib is a potent oral allosteric MEK 1/2 inhibitor with both single-agent and synergistic activity in combination with gemcitabine in preclinical models of pancreas cancer (PC). A synergistic effect between refametinib and erlotinib was also reported in KRAS wild-type human PC in vitro (Diep et al, Clin Cance Res 2011). We report the biomarker results of a single-arm, open label, phase 2a study combining refametinib and gemcitabine in advanced PC. Methods: Refametinib was administered 50 mg bid in combination with gemcitabine. The primary objective was overall response rate (ORR). Secondary objectives included progression-free survival (PFS), overall survival (OS) and biomarker assessment. KRAS mutational analysis was performed from plasma collected at baseline on circulating tumor DNA (ctDNA) by BEAMing. Circulating miRNA were obtained from plasma collected at baseline and post-dose and analyzed by qPCR. Targeted tumor gene next-generation sequencing, gene expression analysis by R.
Non-invasive Blood Glucose Monitoring

In this paper we propose a new architecture of a non-invasive, continuous blood glucose monitoring system, based on dielectric spectroscopy. In particular we design the electrical circuit, the schematic and the PCB of a mixed signal system working in a frequency range 1 MHz – 160 MHz, where the best performances in terms of electrical changes in the blood can be achieved. The proposed architecture allows to acquire easily the dependence on frequency for both amplitude and phase of the dielectric constant from which the glucose levels in blood is estimated.
Adherence to Allergen Subcutaneous Immunotherapy is Increased by a Shortened Build-Up Phase: A Retrospective Study

Introduction. The poor long-term adherence is known to affect the efficacy of allergen immunotherapy (AIT). In the case of injection AIT (SCIT), one of the main determinants is the inconvenience for patients to undergo prolonged build-up phases. Thus, simplifying the time schedule of the induction protocol could be effective in increasing the adherence to SCIT. Methods We backtracked the SCIT renewal orders, thanks to the cooperation of the manufacturing company, and we compared the long-term adherence of 152 patients, who were prescribed with an abbreviated build-up schedule (4 injections, allergoid) with that of 302 patients treated with the same product, but with the traditional build-up protocol (7 injections). Results According to the patient-named refills, those patients on the abbreviated build-up were significantly more compliant at the 2nd and 3rd year of treatment compared to the other group (p=0.0001). The drop-out rate after one year was also significantly lower between the two groups (p=0.0001). The drop-out rate after one year was also significantly lower between the two groups (p=0.0001). The drop-out rate after one year was also significantly lower between the two groups ( Conclusions Abbreviating the build-up phase by reducing the number of injections significantly improves patients' adherence to SCIT.
The unsteady aerodynamic effects on small scale wind converters

The effects of unsteady flow on wind turbines are extensive. Wind, as one of the sources of energy, in a period when conventional sources of energy are becoming increasingly more economically demanding, comes to the fore. It is characterized by its variability and it is necessary to proceed with its description not only in terms of steady and thus "theoretical" flow, but in terms of unsteady flow in particular. Currently, extensive research is ongoing in the area of unsteady flow. Nevertheless, this phenomenon is still not understood sufficiently. This, in turn, translates into incorrect predictions and understanding of non-stationary phenomena. Despite this, there is only a limited amount of resources available in Slovakia dealing with this issue. The aim of this paper is the characterization and description of unsteady steady flow and their effects on small scale wind devices. On the basis of the simulation of flow on wind device, we are interested in quantifying the influence of unsteady effects and thus pointing at other areas in the development of wind turbines, in order to increase their performance and move toward the theoretical maximum.
Removal and Effects of Surfactants in Activated Sludge System

DANIEL MITRU, GHEORGHE NECHIFOR, STEFANIA GHEORGHE, ALINA ROXANA BANCIU, LUCIAN IONESCU, CATALINA STOICA, DANIELA LILIANA IONICA, IRINA EUGENIA LUCACIU* “Politehnica” University of Bucharest, Faculty of Applied Chemistry and Materials Science, Department of Analytical Chemistry and Environmental Engineering, no. 1-7, Polizu Str. , 011061, Bucharest, Roumania National Research and Development Institute for Industrial Ecology ECOIND Bucharest, 71-73 Drumul Podu Dambovitei Str. , 060652, Bucharest, Romania
The investigation of toxic, genotoxic and cytotoxic effects of various nanoparticles in Allium cepa and Caenorhabditis elegans test systems

In this study, toxic, genotoxic and cytotoxic effects of titanium dioxide (TiO2), silicon oxide (SiO2), zinc oxide (ZnO), copper oxide (CuO) and aluminium oxide (Al2O3) nanoparticles on Allium cepa (A. cepa) and Caenorhabditis elegans (C. elegans) model organisms were investigated. 25, 50, and 100 µg/ml doses of these substances were applied to A. cepa roots for 12 and 24 hours. At the end of the study, it was determined that mitotic index decreased and chromosomal abnormalities occurred. As a result of the application doses of these substances to C. elegans nematode, survival time decreased, egg production decreased and physical growth decreased.
Caskey, F. (2017). Attainment of guideline targets in EURODOPPS haemodialysis patients: are differences related to a country’s healthcare expenditure and nephrologist workforce? Nephrology Dialysis Transplantation , 32 (10).

In the field of chronic kidney disease, global clinical practice guidelines have been developed and implemented with a view to improving patient care and outcomes. The attainment of international and European guideline targets for haemodialysis patients in European countries has not been audited recently. Hence, we sought to establish whether the attainment of the targets set out in guidelines and inappropriate care are similar across European countries and whether inter-country differences are related to disparities in national healthcare expenditures (as a percentage of gross domestic product) and/or the nephrologist workforce per capita. Methods EURODOPPS is the European part of an international, prospective study of a cohort of adult, in-centre, haemodialyzed patients. For the current project, 6317 patients from seven European countries were included between 2009 and 2011. Data on laboratory test results and medication prescriptions were extracted from patient records, in order to determine the overall percentage of patients treated according to the international guidelines on anaemia, dyslipidaemia, metabolic acidosis and mineral bone disease. Data related to macroeconomic indices were collected from world health organization database and work bank stats. the complete; only 34.1% attained their and 31.2% attained their only the attained all the We observed marked inter-country differences The levels national correlated the percentage not to
An Approach to Detect Image Forgery by Discrete Wavelet Decomposition

Image forgery or manipulation by using the multimedia technology is becoming a challenging issue. The most common type of image forgery is copy-move forgery where some part of one image is copied and spliced in the other image. In this article, first the images in RGB color space is converted into YCbCr color space and the four-level discrete wavelet transform (DWT) is implemented to detect image forgery. The output of the DWT is further processed by using the image gradient technique for the edge detection of spliced objects. Morphological operation and Wiener filtering are applied for locating the tempered region in the forged image. Sensitivity, specificity and accuracy calculated for spliced images of CASIA datasets are obtained 89%, 86% and 88% respectively.
Using Aspect Oriented Techniques to Build-in Software Quality

- Today’s software systems are growing rapidly in number, size, complexity, amount of distribution and number of users with the evolving technologies being geared towards improving their quality. Aspect oriented software development is a new paradigm that claims to improve the quality of software using separation of concerns. In this paper we show how the aspect oriented paradigm has evolved from the object oriented paradigm, giving definitions of key aspect oriented terms to aid comprehension and clarification. We then show how techniques involved in aspect oriented design can help to improve software quality .
Structural Representation of Colon Tissue using Delaunay Triangle for Cancer Detection and Grading

In human body, the cells are arranged in a particular pattern. Neoplastic diseases such as cancer may cause a change in these arrangements. Different methods can be used to quantify these patterns. This study mainly focuses on the structural representation of colon tissue and the graph features used to diagnose and grade the cancer. The different graph techniques used in structural method are color graphs, colorless graphs and probabilistic graphs. The inputs for the system are histopathological images. These images are pre-processed and then clustered according to luminal, stromal and nucleus components using k-means clustering algorithm. Then the centroids of each component are found out using region-props algorithm for each cluster in the whole image. Then these centroids are eroded and represented as disk structures and these disks are considered as set of nodes. Finally Delaunay diagram is created by connecting the nodes using different colored edges. From the diagram, set of features such as edge length, average edge length and diameter are extracted. These features are given to the ANN (Artificial Neural Network), which will accurately classify the images according to the grade of cancer to which they belong. General Terms Algorithms, Classification, Staging
Die Rolle der Wnt-Inhibitoren Sklerostin und Dickkopf-1 bei Erkrankungen des Knochens

Zusammenfassung Knochen wird durch die koordinierte Aktivität von knochenresorbierenden Osteoklasten sowie von Osteoblasten, die neue Knochenmatrix produzieren, kontinuierlich umgebaut. Ein gestörtes Gleichgewicht zwischen beiden Zelltypen stellt ein Leitmotiv vieler metabolischer Knochenerkrankungen dar. Hierbei fällt dem Wnt-Signalweg eine zentrale Bedeutung zu. Dieser fördert die Osteoblastogenese und wird durch die Wnt-Antagonisten Dickkopf-1 (DKK-1) und Sklerostin feinreguliert, da sie eine hemmende Wirkung auf die Osteoblasten-differenzierung entfalten. Beide Proteine sind zellbiologisch gut charakterisiert und lassen sich auch beim Menschen mithilfe sensitiver Assays nachweisen und als Biomarker bestimmen. Sowohl DKK-1 und Sklerostin werden in aktuellen präklinischen und klinischen Studien als therapeutische Ansatzpunkte für Erkrankungen des Knochens diskutiert, bei denen es zu einem Verlust von Knochengewebe und einem erhöhten Frakturrisiko kommt.