Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of the transition model with respect to the local roughness on RANS based aircraft icing code

The influence of surface roughness over the ice-contaminated surface is a critical issue in numerical simulation of aircraft icing, since it affects the underlying physics of the frozen surface. Regarding the Reynolds-averaged Navier-Stokes model implementation, capturing the laminar-turbulent transition process is the fundamental aspects of the roughness prediction approach, resulting in a drastic change in the local shear which eventually affects roughness growth. To this end, this numerical investigation was performed to capture the inter-disciplinary process of the roughness growth in icing. The analytical roughness model was implemented on the RANS based aircraft icing code with an extension of the roughness amplification variable on the turbulent transition modeling. The study computed the analytical solution for local roughness from the force equilibrium equation of water film on the ice surface, considering the local flow and meteorological variables. The local roughness heights were embedded as a boundary condition on the roughness amplification equation, which delivers the impact of roughness to downstream, coupled with the local transition model to predict the transition onset on the iced airfoil. To validate the developed model, the roughness was compared with the experimental results. As the result, the model well predicts the trends according to the meteorological conditions. Then, the transition onset and resulting changes in the roughness height, skin friction and heat convection coefficient were demonstrated to describe the effect of roughness on the transition model. Finally, the qualitative discussion is made for the later time-scale ice accretion shape, and the necessity of the transition model considering local roughness was presented.
EVALUATION OF SILICA NANOPARTICLE COLLOIDAL STABILITY WITH A FIBER OPTIC QUASI-ELASTIC LIGHT SCATTERING SENSOR

Colloidal silica is an important biocompatible, inert and non-toxic material for imaging, therapy, and drug delivery biomedical applications. In this context, the evaluation of colloidal suspensions and their stabilities by a Fiber Optic Quasi-Elastic Light Scattering sensor is proposed. Two different silica nanoparticles were prepared and characterized by scanning electron microscopy and X-ray diffraction, being completely amorphous, with mean diameters of 125 and 159 nm and average specific weight of 1.94 g.cm-3. The nanoparticles were dispersed in deionized water in different concentrations ranging from 0 to 2% (m/m), resulting in suspensions with mean kinematic viscosity of 0.009157 cm2.s-1. The sensor showed different sensitivities regarding concentrations and diameters, with an increase in the light intensity dispersion caused by the scattering. A decreasing tendency of the decay rate of the autocorrelation function of the light intensity signal was verified with the variation of pH, and this decay rate also showed an abrupt decrease with the enhancement of the ionic strength, detecting the limits of the colloidal stability. This work presents a simple and reliable methodology for the colloidal assessment in a low-cost and minimally invasive way, easily extendable for different chemical and biological systems.
Development of HMM-based Indonesian Speech Synthesis

This paper presents a systematic study on the development of speech synthesis for the Indonesian language based on the hidden Markov model. The contextdependent speech HMMs are trained with two hours of phonetically-balanced utterances, which have been phonetically segmented by Viterbi alignment using an Indonesian speech recognition system. The contextual factors utilized here are mainly related to phoneme identity and its positional information with regard to word and sentence. This study did not use syllable and stress information. Although the quality of generated speech is ”vocoded” buzzy speech, it is smooth and perfectly intelligible. Currently, this Indonesian speech synthesis has been incorporated in the mobile terminal of the NICT/ATR speech translation system.
VHRM_A_226009 539..550

Manal M Alem 1 Sarah R Aldosari 2 Alhassna A Alkahmous Adam S Obad Nagy M Fagir Bandar S Al-Ghamdi 2,3 1Department of Pharmacology, College of Clinical Pharmacy, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; 2College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; 3Heart Centre, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia Background: Left ventricular hypertrophy (LVH), as assessed by measurement of left ventricular mass (LVM), is one of the most important cardiovascular risk factors. It is commonly present in patients with ischemic heart disease (IHD), irrespective of the level of blood pressure; recently, oxidative stress has been shown to be an important factor in its development. The question then arises: can this risk factor be modified by antioxidant treatment (e.g., with allopurinol, a xanthine oxidase inhibitor)? Methods: This is an observational study with a cross-sectional design which explored the association between long-term (>12 months) allopurinol therapy and LV mass index (LVMI) as well as geometry in patients generally receiving standard treatments for IHD. The primary endpoint was LVMI measurement (by 2D-echocardiography) and secondary endpoints included the association of allopurinol use with LV function (ejection fraction), blood pressure, glycemic control, and lipid profile. Results: Ninety-six patients on standard anti-ischemic drug treatment (control group) and 96 patients who were additionally taking allopurinol (minimum dose 100 mg/day) were enrolled. Both groups were matched for age, sex, height, and co-morbidities, but poorer kidney function in the allopurinol group required further sub-group analysis based on renal function. Allopurinol treatment was associated with the lowest LVMI in the patients with normal serum creatinine (median LVMI; 70.5 g/m): corresponding values were 76.0 and 87.0 in the control group with, respectively, normal and elevated serum creatinine, and 89.5 in the allopurinol group with elevated serum creatinine (P=0.027). In addition, allopurinol was associated with better glycemic control (HbA1c) with a difference of 0.8% (95% CI; 1.3, 0.2) (P=0.004) as compared with control patients. Conclusion: In our population, treatment with allopurinol (presumably because of its antioxidant properties) has shown a tendency to be associated with smaller LVM in IHD patients with normal serum creatinine, along with better glycemic control.
STABILITY OF A LINEAR INTEGRO-DIFFERENTIAL EQUATION OF FIRST ORDER WITH VARIABLE DELAYS

We consider a linear integro-differential equation (IDE) of first order with two variable delays. We construct new conditions guaranteeing the trivial solution of this IDE is stable. The technique of the proof based on the use of the fixed-point theory. Our findings generalize and improve some results can be found in the literature.
IMPACT OF GOVERNMENT EXPENDITURE ON THE GROWTH RATE OF REAL GSDP

In the previous chapter, the trend of government expenditure in Assam has been examined. It is seen that government expenditure in Assam has increased over time. Proper and judicious planning of government expenditure is very important in order to bring about the desired impact on the economy. The study of the impact of government expenditure (both at aggregate and disaggregate levels) will facilitate the efficient allocation of public resources and would provide insight into the proper planning of expenditure programs.
A decomposition-based exact approach for the sequential ordering problem

Many different real world problems can be modeled in mathematical terms as a Sequential Ordering Problem. This combinatorial optimization problem can be seen as a scheduling problem with precedence constraints among the jobs. In the present paper a novel branch and bound method that manipulates and exploits the structure of the precedence constraints to decompose the problem in smaller suproblems is introduced. Computational experiments on benchmark instances commonly adopted in the literature are presented. Improvements to best-known results are found by the new approach.
Cross-Linking of Fibrex Gel by Fungal Laccase: Gel Rheological and Structural Characteristics

Sugar beet fibre (fibrex) is an abundant side-stream from the sugar refining industry. A self-produced laccase from Funalia trogii (LccFtr) (0.05 U/µg FA) successfully cross-linked fibrex to an edible gel. Dynamic oscillation measurements of the 10% fibrex gels showed a storage modulus of 5.52 kPa and loss factors ≤ 0.36 in the range from 20 to 80 Hz. Comparing storage stability of sweetened 10% fibrex gels with sweetened commercial 6% gelatin gels (10% and 30% d-sucrose) indicated a constant storage modulus and loss factors ≤ 0.7 during four weeks of storage in fibrex gels. Loss factors of sweetened gelatin gels were ≤0.2, and their storage modulus decreased from 9 to 7 kPa after adding d-sucrose and remained steady for four weeks of storage. Fibrex gel characteristics, including high water holding capacity, swelling ratio in saliva, and heat resistance are attributed to a covalently cross-linked network. Vanillin, as a mediator, and citrus pectin did not enhance covalent cross-links and elastic properties of the fibrex gels. Thus, laccase as an oxidative agent provided gels with a solid and stable texture. Fibrex gels may find uses in pharmaceutical and other industrial applications, which require a heat-resistant gel that forms easily at room temperature. They also represent an ethical alternative for manufacturing vegan, halal, and kosher food.
Alternative Structures of α-Synuclein

The object of our analysis is the structure of alpha-synuclein (ASyn), which, under in vivo conditions, associates with presynaptic vesicles. Misfolding of ASyn is known to be implicated in Parkinson’s disease. The availability of structural information for both the micelle-bound and amyloid form of ASyn enables us to speculate on the specific mechanism of amyloid transformation. This analysis is all the more interesting given the fact that—Unlike in Aβ(1–42) amyloids—only the central fragment (30–100) of ASyn has a fibrillar structure, whereas, its N- and C-terminal fragments (1–30 and 100–140, respectively) are described as random coils. Our work addresses the following question: Can the ASyn chain—as well as the aforementioned individual fragments—adopt globular conformations? In order to provide an answer, we subjected the corresponding sequences to simulations carried out using Robetta and I-Tasser, both of which are regarded as accurate protein structure predictors. In addition, we also applied the fuzzy oil drop (FOD) model, which, in addition to optimizing the protein’s internal free energy, acknowledges the presence of an external force field contributed by the aqueous solvent. This field directs hydrophobic residues to congregate near the center of the protein body while exposing hydrophilic residues on its surface. Comparative analysis of the obtained models suggests that fragments which do not participate in forming the amyloid fibril (i.e., 1–30 and 100–140) can indeed attain globular conformations. We also explain the influence of mutations observed in vivo upon the susceptibility of ASyn to undergo amyloid transformation. In particular, the 30–100 fragment (which adopts a fibrillar structure in PDB) is not predicted to produce a centralized hydrophobic core by any of the applied toolkits (Robetta, I-Tasser, and FOD). This means that in order to minimize the entropically disadvantageous contact between hydrophobic residues and the polar solvent, ASyn adopts the form of a ribbonlike micelle (rather than a spherical one). In other words, the ribbonlike micelle represents a synergy between the conformational preferences of the protein chain and the influence of its environment.
Fuzzing Objects d ’ ART Digging Into the New Android L Runtime Internals

In an effort to deal with performance challenges in the Android ecosystem, Google has made an investment aiming to fully replace the old JIT Dalvik VM with the brand new AOT (Ahead-Of-Time) ART runtime. It has been more than a year since ART was open-sourced and its first production releases are reaching the market. However, there is currently almost zero public knowledge about the security maturity of ART and its interfacing functionality. This talk is the first milestone of a greater research effort aiming to analyze all of the new ART runtime internals, depict the exploitation impact of identified bugs in the Android ecosystem and mark the requirements for the development of new tools. To assist this analysis, the first DEX file format smart fuzzing engine has been implemented supporting a series of rulesets mirroring the various fuzzing requirements. The input generation and fuzzing toolset we have developed run directly on Android devices and monitor the investigated processes. DEX smart fuzzing techniques and evaluation metrics will be presented against the initial target of the ART runtime, which is the bytecode optimization and compilation chain (DEX parser, IR processing & code generation) for the ARM architecture. In order to prove the efficiency of our smart fuzzing techniques, we compare our results against dumb fuzzing iterations with identical characteristics.
SMALL WATER BODIES IDENTIFICATION BY MEANS OF REMOTE SENSING

Remotely sensed data are frequently used to identify water bodies. In comparison with UAV data, they are limited by resolution and availability. Paper evaluates suitability of Landsat 8, Sentinel 2 and UAV data in the case of identification of shorelines of smaller water bodies. For the study, surrounding of Pardubice city (the Czech Republic) is an area of interest. Three data sources are used: Landsat 8, Sentinel 2 and UAV data. Several algorithms are used for spectral enhancement and data classification: Iso Cluster, Maximum Likelihood, Class Probability, Principal Components, and NDWI. Manual classification is used as a reference method. No post-classification method is used to preserve shapes of small water bodies. Error matrix is used for evaluation of the classification quality. Multi-criteria evaluation shows that Sentinel 2 data classified by means of Iso Cluster provides the best results. NDWI is very close to the best results. Next, we demonstrate that UAV can provide data with a higher spatial resolution on demand for reasonable costs so they are more suitable for small water bodies. Heterogeneity of the data and treetops overlapping the shoreline led to the manual classification based on the results of Iso Cluster classification.
Thermal properties of unsaturated kaolin compacted with different void ratio and under different temperatures

Soil’s thermal proprieties are of extreme importance in the engineering field, namely in situations where advantage is taken from the heat generated by the soil. The main issue with heat transference is its complexity and wide range of variables which makes it difficult to predict. Such prediction is important for modelling geothermal structures. In this sense, its behaviour must be studied for each soil property to grasp its relevance and contribution to these characteristics. The primary focus of thermal properties is soil thermal conductivity. It can be defined as the rate according to which the energy goes through a unitary area of soil due to a unit temperature gradient is studied. For this purpose, samples from white kaolin, compacted with three different void ratios were investigated. Then they were exposed either to a wet or drying path, using vapour equilibrium technique, in which the samples are placed in a closed environment with controlled relative humidity. Trough water changes, after few months, the equilibrium is reached for both pats, to get different suctions, water contents and degrees of saturation. WP4 equipment was used for suction measurement, , and water content was determined by drying the samples at 100 oC in an oven. To get the thermal properties of the soil (thermal conductivity, thermal capacity and diffusity) it was used a thermal probe, ISOMET, previously calibrated. This study was made for different temperatures, 25oC e de 60oC. With the final values it was possible to confirm that thermal conductivy increases with the increase of the degree of saturation and with the decrease of void ratio. With this result it was also possible to determine a proper relation for thermal conductivity and degree of saturation, applicable for each void ratio studied. No significant differences for the wetting and drying path were observed.
High Performance Multilayered Organosilicon/Silicon Oxynitride Water Barrier Structure Consecutively Deposited by Plasma-Enhanced Chemical Vapor Deposition at a Low-Temperature

In this study, pairs of the organosilicon/silicon oxynitride (SiOxNy) barrier structures with an ultralow water vapor transmittance rate (WVTR) were consecutively prepared by the plasma-enhanced chemical vapor deposition at a low temperature of 70 °C using the tetramethylsilane (TMS) monomer and the TMS-oxygen-ammonia gas mixture, respectively. The thickness of the SiOxNy film in the barrier structure was firstly designed by optimizing its effective permeability. The WVTR was further decreased by inserting an adequate thickness of the organosilicon layer as the stress residing in the barrier structure was released accordingly. By prolonging the diffusion pathway for water vapor permeation, three-paired organosilicon/SiOxNy multilayered barrier structure with a WVTR of about 10−5 g/m2/day was achievable for meeting the requirement of the thin film encapsulation on the organic light emitting diode.
Expression pro ﬁ les and prognostic signi ﬁ cance of RNA N6-methyladenosine-related genes in patients with hepatocellular carcinoma: evidence from independent datasets

Background: N6-methyladenosine (m6A) is the most prevalent modi ﬁ cation of mammalian RNA. Emerging evidence suggest that m6A has critical roles in multiple biological activities, but little is known about its roles in cancer pathogenesis. Herein, we report the expression pro ﬁ les and prognostic relevance of twelve m6A-related genes in hepatocellular carcinoma (HCC) by analyzing four independent datasets. Materials and methods: RNA levels of twelve m6A-related genes were detected in samples of 162 HCC patients who underwent curative resection (the Guangdong General Hospital dataset). We additionally analyzed the expression pro ﬁ les of m6A-related genes in The Cancer Genome Atlas liver HCC dataset and two Gene Expression Omnibus datasets (GSE14520, GSE63898). Prognostic value of genes was evaluated by Kaplan – Meier curves of overall survival (OS) with the log-rank test and multivariate Cox regression analysis. Gene set enrichment analysis (GSEA) was conducted to identify associated KEGG pathways. Results: Five genes (METTL3, YTHDF1, YTHDF2, YTHDF3, and EIF3) showed consistent upregulation in all four datasets. Abnormal expressions of either METTL3 or YTHDF1 but not the other ten genes were associated with OS. Protein expression of METTL3 and YTHDF1 were con ﬁ rmed in HCC tissues by immunohistochemical staining. Multivariate Cox regression analysis con ﬁ rmed the independent predictive value of both METTL3 and YTHDF1 on OS. We further divided patients into three groups based on the median expression values of METTL3 and YTHDF1. In all datasets, the low METTL3/low YTHDF1 group showed a consistent better prognosis than other groups. GSEA revealed that both METTL3 and YTHDF1 regulate HCC cell cycle, RNA splicing, DNA replication, base excision repair, and RNA degradation. Conclusion: Both METTL3 and YTHDF1 were upregulated in HCC, and they were independent poor prognostic factors. Combination of METTL3 and YTHDF1 can be regarded as the biological marker that re ﬂ ect malignant degree and evaluate prognosis in HCC.
A Monte Carlo-Based Outlier Diagnosis Method for Sensitivity Analysis

An iterative outlier elimination procedure based on hypothesis testing, commonly known as Iterative Data Snooping (IDS) among geodesists, is often used for the quality control of modern measurement systems in geodesy and surveying. The test statistic associated with IDS is the extreme normalised least-squares residual. It is well-known in the literature that critical values (quantile values) of such a test statistic cannot be derived from well-known test distributions but must be computed numerically by means of Monte Carlo. This paper provides the first results on the Monte Carlo-based critical value inserted into different scenarios of correlation between outlier statistics. From the Monte Carlo evaluation, we compute the probabilities of correct identification, missed detection, wrong exclusion, over-identifications and statistical overlap associated with IDS in the presence of a single outlier. On the basis of such probability levels, we obtain the Minimal Detectable Bias (MDB) and Minimal Identifiable Bias (MIB) for cases in which IDS is in play. The MDB and MIB are sensitivity indicators for outlier detection and identification, respectively. The results show that there are circumstances in which the larger the Type I decision error (smaller critical value), the higher the rates of outlier detection but the lower the rates of outlier identification. In such a case, the larger the Type I Error, the larger the ratio between the MIB and MDB. We also highlight that an outlier becomes identifiable when the contributions of the measures to the wrong exclusion rate decline simultaneously. In this case, we verify that the effect of the correlation between outlier statistics on the wrong exclusion rate becomes insignificant for a certain outlier magnitude, which increases the probability of identification.
College Students’ Images of Mathematicians and Mathematical Careers

In this paper we report our findings of college students’ images of mathematicians and we reflect on different methodologies used to assess this information. The study reported in this paper was conducted in two stages. During the first stage, we asked 179 college students to “draw a mathematician” and also asked them to list five characteristics and five careers for a mathematician. In the second stage of the study, we conducted four focus group interviews with a total of twelve college students. During the focus group interviews, we showed the students 16 photos of real people and asked them to determine which they think are mathematicians and which are not. We found that college students do hold certain stereotypic images of mathematicians and that different perspectives arose based on the different research methodologies. In this paper, we argue for the need to go beyond relying solely on the “draw a mathematician” test and we conclude with a discussion on the implications that stereotypic images of mathematicians have on the mathematical workforce. Journal of Humanistic Mathematics Volume 10 Number 1 (January 2020) Katrina Piatek-Jimenez, Miranda Nouhan, and Michaela Williams 67