Miracle-dz/UniFAR-FTUs huggingface dataset:
Facilitating factors, main difficulties and strategies used in breastfeeding of Down syndrome infants: a systematic review

Purpose: To investigate in the literature the main difficulties related to breastfeeding in babies with Down syndrome, facilitating factors and indicated strategies. Methods: A systematic review was accomplished on PubMed, Scielo and VHL databases. The following descriptors were used: Down Syndrome and Breastfeeding and their correspondents in Portuguese and Spanish. Selection criteria: Original articles that addressed breastfeeding in Down syndrome, published in Portuguese, English or Spanish, between 1998 and 2018, were included. The following information was considered: year of publication, country of the research, sample, difficulties perceived in breastfeeding, facilitating factors, strategies, methodology and results. Results: 758 references were found, of which six contemplated the proposed selection criteria. Maternal emotional state due to the impact of the news, baby specificities, sucking difficulties, frequent hospitalizations and lack of support and knowledge on the part of health professionals were aspects that made breastfeeding difficult. The main facilitating factors cited were previous experience and family and professional support. As a direct strategy, stabilization of the baby’s head and mandible during feeding was pointed out. The indirect strategies cited were related to professional training and early multidisciplinary intervention. Conclusion: after analyzing the selected articles, it was concluded that breastfeeding difficulties in babies with Down Syndrome arise from the condition of the baby and the mother. Previous maternal experience and family support were cited as facilitators of breastfeeding. The main recommended strategies were indirect and related to the improvement of the health system.
Effect of maturation on wild apricot vermouth of different treatments

Article history: Received: May 5, 2019 Accepted: July 6, 2019 Wild apricot vermouths (WAV) of different sugar levels (8, 10 and 12 °Brix), different alcohol levels (15, 17 and 19%) and spice levels (2.5 and 5%) were prepared. The product was matured for six months and evaluated for physicochemical characteristics at 0, 3 and 6 months of maturation. In general, ethyl alcohol content decreased in wild apricot vermouth of all treatments during maturation for six months, in proportion to their initial values. The decrease in TSS was revealed with the advancement of the storage period of six months. A similar trend was observed for total sugars with the advancement of the ageing period. The amount of reducing sugars, however, increased with the prolongation of the maturation period. The total esters content in WAV increased with the advancement of the ageing period, irrespective of their alcohol content. However, the volatile acidity showed a very little increase during ageing but remained non-significant among the different treatments. Total phenols content in WAV decreased by both the ageing period of six months and an increase in alcohol level. A non-significant increase in the titratable acidity with an ageing period was observed in all the WAV having different alcohol levels. The effect of spice extract levels added in the preparation of WAV showed that with the advancement of storage period total esters increased from 246.8 to 272.8 mg/L and 252.8 to 280.6 mg/L for WAV having 2.5 and 5% spices content, respectively. In brief, an overview of the entire results revealed that there was an interactive effect of alcohol level, the sugar level and the spice extract during maturation of wild apricot vermouth. It can be concluded that the maturation of WAV exerted a favourable effect on physico-chemical properties of wild apricot vermouth and is thus, considered desirable.
Response to mTOR and PI3K inhibitors in enzalutamide-resistant luminal androgen receptor triple-negative breast cancer patient-derived xenografts

Luminal androgen receptor (LAR) breast cancer accounts for 10% of all triple-negative breast cancers (TNBC). Anti-androgen therapy for this subtype is in development, but yields only partial clinical benefits. In this study, we aimed to characterize the genomic alterations of LAR TNBC, to analyze activation of the PI3K signaling pathway and to compare the response to PI3K pathway inhibitors with that to anti-androgen therapy in patient-derived xenografts (PDX) of LAR TNBC. Methods: Four LAR PDX models were identified, on the basis of their transcriptomic profiles, in a cohort of 57 PDX models of TNBC. The expression of AR-related genes, basal and luminal cytokeratins and EMT genes was analyzed by RT-PCR and IHC. AKT1 and PIK3CA mutations were identified by targeted NGS, and activation of the PI3K pathway was analyzed with a reverse-phase protein array. Three LAR PDXs with a PIK3CA or AKT1 mutation were treated with the AR inhibitor enzalutamide, a PI3K inhibitor, a dual PI3K-mTOR inhibitor and a mTORC1-mTORC2 inhibitor. Finally, we screened a clinical cohort of 329 TNBC for PIK3CA and AKT1 hotspot mutations. Results: LAR TNBC PDXs were significantly enriched in PIK3CA and AKT1 mutations, and had higher levels of luminal-androgen-like gene expression and a higher PI3K pathway protein activation score than other TNBC subtypes. Immunohistochemistry analysis revealed strong expression of the luminal cytokeratin CK18 and AR in three LAR PDX models. We found that mTOR and PI3K inhibitors had marked antitumor activity in vivo in PDX harboring genomic alterations of PIK3CA and AKT1 genes that did not respond to the AR antagonist enzalutamide. PIK3CA mutations were detected in more than one third of AR+ TNBC from patients (38%), and only 10% of AR-negative TNBC. Conclusion: Our results for PDX models of LAR TNBC resistant to enzalutamide indicate that PIK3CA and AKT1 are potential therapeutic targets.
Firms` Participation in Tax Amnesty Program Engaged in Financial Reporting Manipulation: An Empirical Evidence from Listed Companies in Indonesia

The research investigated the relation between firms participated in tax amnesty programs and their tendency to manipulate financial statements. The research explored some unique research settings during Indonesia’s tax amnesty period in 2016-2017. To examine the association, the researchers employed Beneish’s M-Score model to categorize the firm’s tendency to manipulate its financial statements. As the test variable, it classified the firm’s participation in the tax amnesty program with a dummy variable, 1 if the firm participated, and 0 otherwise. To control the variations in financial statements manipulation, it also included firm size, leverage, and profitability in our empirical model. Based on the sample of 796 firm-year observations in the Indonesian Stock Exchange (IDX) from the 2012-2017 period, it is found some evidence that firms participate in tax amnesty programs do not engage in financial statements manipulation. Further analysis of the corporate tax avoidance measures shows that those firms do not engage in tax avoidance activities either. The results suggest that firms participate in the tax amnesty programs are not necessary ‘bad firms’, and they just participate as a ‘symbolic’ gesture to get some indirect benefits of the program.
SMARTIE Deliverable

This deliverable is based on the work done in previous deliverables such as D2.2, D3.1 and D4.1. D2.2 analysed the security requirements of IoT ecosystems. The deliverables D3.1 and D4.1 defined the individual components proposed in SMARTIE to accomplish secure information gathering, storage, access control and preserve the data privacy. In this deliverable, the integration of all components is presented in combination with the Smartdata Platform. This deliverable describes the initial architecture of SMARTIE and the main interactions among the components. Ref. Ares(2015)553314 10/02/2015 SMARTIE Deliverable D2.3 Page 2 of (69) © SMARTIE consortium 2014 Disclaimer This document contains material, which is the copyright of certain SMARTIE consortium parties, and may not be reproduced or copied without permission. All SMARTIE consortium parties have agreed to full publication of this document. The commercial use of any information contained in this document may require a license from the proprietor of that information. Neither the SMARTIE consortium as a whole, nor a certain party of the SMARTIE consortium, warrant that the information contained in this document is capable of being used, nor that use of the information is free from risk, and accept no liability for loss or damage suffered by any person using this information. The information, documentation and figures available in this deliverable are written by the SMARTIE partners under EC co-financing (project number: 609062) and does not necessarily reflect the view of the European Commission. Impressum [Full project title] Secure and sMArter ciTIes data management [Short project title] SMARTIE [Number and title of work-package] WP2 Platform Model [Document title] Initial Architecture Specification [Editor: Name, company] Antonio Skarmeta, UMU [Work-package leader: Name, company] Jens-Matthias Bohli, NEC
Face recognition in drone-shot videos

Unmanned Aerial Vehicles (UAVs) or drones are often used to reach remote areas or regions which are inaccessible to humans. Equipped with a large field of view, compact size, and remote control abilities, drones are deemed suitable for monitoring crowded or disaster-hit areas, and performing aerial surveillance. While research has focused on area monitoring, object detection and tracking, limited attention has been given to person identification, especially face recognition, using drones. In this research, we present DroneSURF dataset [12], a novel large-scale drone videos dataset, collected over two segments. DroneSURF dataset in intended to facilitate research for drone-based face detection and recognition. For both segments, we provide videos, high resolution gallery images and annotated face regions. In addition to that, for segment-1 of DroneSURF, we also provide baseline results on face detection and face recognition and the results of our own experiments to improve the performance of face recognition in drone-shot videos.
Relationship External Factors with Internet Addiction in Adolescent Age 15-18 Years

The internet is one form of evolution in the development of communication and technology that affects humans. One result of the internet is a significant change in the pattern of primary social interactions between individuals. The convenience provided by the internet indirectly causes individuals to have high levels of addiction to the internet and tend to show symptoms of addiction. In Indonesia, internet addiction is mainly found in groups of adolescents aged 15-22 years. This study aims to determine the relationship of external factors: academic stress, family attachments and peers with internet addiction in high school adolescents aged 15-18 years. The study design was carried out using a correlational research design with a cross sectional approach. Respondents who contributed in this study were 97 senior high school students. With sample selection, random sampling is done. The statistical test used was chi-square. The results of this study prove that academic stress has a significant relationship with internet addiction value X 2 = 7.91 and P = 0.019 0.05 and peers did not have a relationship with internet addiction X 2 = 0.241 and P = 0.657. Based on the results of this study, it can be said that the school through the school committee to share information or share about the problem of teenagers who experience academic stress, internet addiction, impact and how to overcome them also evaluate the learning process.
Profile of estrogen and progesteron hormones in bali cows that are exposed in the natural grazing filed

The reproductive process in productive cows, controlled by hormones, and physiological events is important to understand in improving reproductive efficiency. The study aims to determine the hormone profile of estrogen and progesterone in bali cow during one estrous cycle. The study used 10 bali cattle aged 3-4 years, Body Condition Scor (2-3), not breastfeeding, and in the luteal phase. Cows were synchronized with estrus by injecting 25 mg PGF2 (Dinoprost) intramuscularly. Detection of the emergence of estrus is done twice a day, namely: morning and evening after being treated. Blood collection is carried out on day 0 (during estrus), 3rd, 9th, 15th, and 17-23th to determine the levels of the hormones estrogen and progesterone. Measurement of estrogen (pg/ml) and progenteron (ng/ml) levels by the method of Enzyme Linked Immunoabsorbant Assay (ELISA). The results showed that the appearance of estrus in cows was 3.40±0.52 days after PGF2α injection, with an estrous cycle length of 22 days. Estrogen hormone levels on days 0, 3, 9, 15, and 17-23 were: 56.97-1.19; 16.40±0.40; 21.89±1.02; 15,37±0,37; 17.87±0.52; 26,32±0.43; 31.31±0.82; 44.01±0.83; 53.74±0.96; 55.71±0.65; 53.94±0.77 pg/ml, respectively and levels of the hormone progesterone on days 0, 3rd, 9th, 15th, and 1723 were: 0.35±0.10; 1.35±0.72; 5.07±0.15; 7.15±0.08; 6.24±0.13; 5.69±0.04; 4.67±0.05; 3.20±0.03; 1.18±0.05; 0.43±0.02; 0.43±0.03 ng/ml, respectively. It can be concluded that the levels of estogenic hormones at the time of estrus were highest (56.97±1.19 pg/ml and 55.71±0.65) with basal progesterone levels (0.35±0.10 and 0.43±0, 03 ng/ml).
Deep Learning Applied To Arabic And Latin Scripts: A Review

Over the last few years deep learning has out classed traditional machine learning in several domains like machine translation, computer vision, speech recognition, natural language processing etc. The advent of neural networks based architectures and deep reinforcement learning has revolutionized the field of machine learning. Document analysis community has also taken advantage of this new era. Recently deep learning methods employed in document analysis have enjoyed tremendous success. These methods are robust to deformations, scaling and rotation. Therefore, they are best suited for text recognition. Particularly, convolutional neural networks and recurrent neural networks coupled with embedded attributes have been exploited extensively in word spotting as well as text recognition. In this paper, we summarize and compare most significant deep learning techniques used so far in Arabic, Urdu, Pashto and Latin scripts. A brief introduction to the state-of-the-art frameworks and libraries for building deep learning based systems is introduced at the end of the article. The article concludes by identifying unexplored possibilities which may serve as guidelines for future work.
Modeling of biosorption of Pb(II) and Zn(II) ions onto PaMRH: Langmuir, Freundlich, Temkin, Dubinin-Raduskevich, Jovanovic, Flory-Huggins, Fowler-Guggenheim and Kiselev comparative isotherm studies

Biosorption of Pb2+ and Zn2+ onto Phosphoric Acid Modified Rice Husk (PAMRH) was carried out. The equilibrium adsorption data of Pb2+ and Zn2+ for initial concentration ranging from 10 – 200 mg g-1 were fitted into Langmuir, Freundlich, Temkin, Dubinin-Raduskevich, Jovanovic, Flory-Huggins, FowlerGuggenheim and Kiselev isotherm models. The comparative isotherm studies however, unraveled the adsorption capacities of PAMRH and a great affinity of the adsorbent (PAMRH) for Pb2+ than Zn2+. The studies showed that the adsorption Modeling of Biosorption of Pb(Ii) and Zn(Ii) Ions onto Pamrh: Langmuir, Freundlich, Temkin, Dubinin-Raduskevich, Jovanovic, Flory-Huggins, Fowler-Guggenheim and Kiselev Comparative Isotherm Studies http://www.iaeme.com/IJMET/index.asp 1049 editor@iaeme.com capacities obtained from isotherm models for Pb2+ are relatively higher than that of Zn2+. Comparatively, based on the correlation coefficients (R2) obtained from both Pb2+ and Zn2+ linear plots, the equilibrium data fitted to the isotherm models in the following order: Langmuir > Kiselev > DKR > Temkin > Freundlich > Jovanovic > Flory-Huggins > Fowler-Guggenheim. A maximum monolayer adsorption capacity of 138.89 mg g-1 was obtained from Langmuir adsorption isotherm for Pb2+ and 121.95 mgg-1 for Zn2+. Biosorption isotherm modeling shows that the uptake of these divalent heavy metals ions (Pb2+ than Zn2+) onto PAMRH took place at specific localized sites on the surface and the saturation coverage corresponds to complete occupancy of these sites. The mean adsorption free energy, E per molecule evaluated from DKR model was less than 8 kJmol-1 indicating a physisorption mechanism and electrostatic attraction. This study revealed vividly that PAMRH is a better and promising eco-friendly low cost adsorbent for both Pb2+ and Zn2+ Keywords: Biosorption, Isotherm modeling, Heavy metals, PAMRH.
A Proposed Use of Kalman Gains Behavior of Navigation Measurements for the Sensor Fault Detection in Quadcopter

Received: 12 July 2019 Accepted: 19 October 2019 This paper is concerned with the sensor fault detection in mini UAVs quadrotor. We propose a detection algorithm based on the behavior of the Extended Kalman Gain Norm (EKGN) when a fault in the measurement occurs. The goal of the proposed algorithm is monitoring of an additive fault in the Inertial measurement unit (IMU) based on the parameter variation in the Kalman gain matrix. This proposed technique of sensor fault detection could be extended to some cases of multiplying fault. Model drawn from experimental tests of the X3D-BL quadrotor from Ascending technology is considered. The results show a good triggering of the alarm when a fault is applied on one accelerometer. During the tests, rough (step) and slow (slope) drift are spotted.
Volatile Compounds, Fatty Acid Composition and Antioxidant Activity of Centaurea albonitens and Centaurea balsamita Seeds Growing in Van, Turkey

Aims: The aim of this study was to determine and compare the potential of Centaurea albonitens and Centaurea balsamita seeds as alternative raw materials for edible oil production and natural antioxidant sources. Study Design: C. balsamita and C. albonitens were harvested from the district of Van province during harvest-maturity period in August-September 2017. The plants were identified by a biologist, Prof. Dr. Murat ÜNAL. The Voucher specimens (B5495, MÜ68611) were deposited at the Virtual Herbarium of Lake Van Basin, Van Yüzüncü Yil University, Faculty of Education. Place and Duration of Study: The study was carried out between June 2017 January 2019 in Yüzüncü Yıl University, Faculty of Engineering, Food Engineering Department laboratory. Methodology: This study consists of two parts. In the first part, crude oil, moisture, ash, protein content, total phenolic content (TPC), volatile components and antioxidant activities of Centaurea albonitens and Centaurea balsamita seeds were determined. In the second part, fatty acid Original Research Article Peker and Baştürk; EJNFS, 11(4): 187-199, 2019; Article no.EJNFS. 2019.025 188 compositions, tocopherol contents, peroxide values (PV), free fatty acidity (FFA) and color values of seed oils obtained by cold extraction were determined. Results: The antioxidant capacities were determined by the 2,2-diphenylpicrylhydrazyl (DPPH) and the 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) assays. Results were 26.60 and 27.12%, and 80.61 and 95.99 mmol Trolox eq/g for C. balsamita and C. albonitens seeds, respectively. The total phenolic content of the seeds were determined to be 9019 and 11501 mg GAE/kg, respectively. The average α-tocopherol content were found to be 1186 and 1689 mg/kg oil. Oil yields of the seeds were found to be 19.36 and 17.65 %, for C. balsamita and C. albonitens seeds, respectively. In fatty acid profiles; linoleic, oleic, palmitic and stearic acids were determined as the most dominant fatty acids. 22 volatile compounds were detected in C. balsamita seed while this was 26 volatile compounds in C. albonitens seed. Conclusion: In this study, it was concluded that C. albonitens and C. balsamita seeds may be considered as alternative raw materials for edible oil production, and these seeds can be used in the formulation of functional foods due to their high level of α-tocopherol, natural antioxidants and polyunsaturated fatty acids.
Modelling of the wall film in high-rate low liquid loading flows

In this paper we present a detailed analysis of large scale experimental data from the SINTEF Multiphase Laboratory on high-rate low liquid loading flows. The experimental work [1] was funded by Equinor as part of the Tanzania gas field development project [2] [3] [4], and SINTEF was granted access to use the data for improving the accuracy of the pressure drop predictions in LedaFlow. The experimental results showed that a key element for predicting high-rate low liquid loading flows accurately is to account for the droplets that deposit on the walls in the gas zone, creating a wall film. This wall film can have a profound effect on the hydraulic roughness experienced by the gas, and subsequently the frictional pressure drop. Furthermore, the data showed that this effect was particularly important for high liquid viscosities and in three-phase flows, and simulations showed that LedaFlow had a clear tendency to under-predict the pressure drop in such scenarios. To improve this situation, we used the data to derive a model for predicting this complex phenomenon. This paper summarizes the main parts of the data analysis and the development of the wall film model. We show that by introducing this new model into LedaFlow, we were able to significantly improve the agreement with the measurements.
Solid Waste Pollution and the Environmental Awareness of Trekkersin the Annapurna Conservation Area, Nepal

The purpose of this study was to evaluate the effectiveness of solid waste management within the Annapurna Conservation Area (ACA), Nepal. Data that focused on waste quantity and type were collected along the Annapurna Circuit trail over 100 metre transects, as well as 100 metres near major villages. Waste was counted and classified into three categories: readily biodegradable waste (RBW), biodegradable waste (BW), and non-biodegradable waste (NBW). A number of sub-categories were used to further characterize the waste according to material composition. Overall, plastic waste contributed the largest portion of litter found in the ACA, and more waste was found near villages than along trails. A survey was completed by seventy-six tourists that focused on questions related to environmental responsibility in the ACA, and tourist awareness of the environmental initiatives developed by the Annapurna Conservation Area Project (ACAP) in the area. Results indicate that while most tourists in the region made sustainable choices, awareness of the ACAP and its initiatives have decreased in recent years. Alternative forms for raising awareness, as well as more stringent document control may contribute to addressing the issue. In addition, more comprehensive and community integrated solid waste management programs could be developed in the ACA to reduce the amount of solid waste found along trails and in villages.
Potential of IRS-P4 microwave radiometer data for soil moisture estimation over India

Soil moisture at different temporal and spatial scales is very important for various applications. At smaller spatial scales it has importance for the agro-meteorological applications, whereas at large spatial scales it is an important boundary parameter in the numerical prediction models of atmosphere for monthly to seasonal time-scale integrations. Frequent in situ global measurements of soil moisture at these spatial scales are virtually impossible because large heterogeneity of soil types makes these observations highly expensive and time consuming. Satellite based microwave radiometers can provide indirect estimates of soil moisture at resolutions compatible to that of climate models (50-100 km). In this paper the potential of Multi-frequency Scanning Microwave Radiometer (MSMR) onboard Indian satellite IRS-P4 is assessed for large area averaged soil moisture estimation. These are compared with the weeklyobserved in situ soil moisture data over a few observatories of India Meteorological Department (IMD).