Miracle-dz/UniFAR-FTUs huggingface dataset:
Mussel-inspired conductive Ti2C-cryogel promotes functional maturation of cardiomyocytes and enhances repair of myocardial infarction

Rationale: Researches on conductive engineering cardiac patch (ECP) for myocardial infarction (MI) treatment have achieved some progress in the animal while the availability of traditional conductive materials in ECP is still limited because of their controversial cytotoxicity. Here we aim to introduce a novel hydrophilic biocompatible conductive material: MXene Ti2C and mussel-inspired dopamine into PEGDA-GelMA cryogel to construct a bio-functional ECP of which the property closes to natural heart for the repair of MI. Method: MXene Ti2C was etched from MAX Ti2AlC, then uniformly dispersed into the prepolymer composed with dopamine-N′, N′-methylene-bisacrylamide, methacrylate-gelatin, and poly (ethylene glycol) diacrylate by simple water bath sonication. The resilient conductive Ti2C-cryogel was fabricated by chemical cryogelation. The conductive ECP was evaluated in vitro and transplanted to the MI rat model for MI treatment. Results: In vitro, the 3D vessels-shape framework was observed in Ti2C-8-cryogel which was seeded with rats aortic endothelial cells. When the Ti2C-cryogels were cocultured with CMs, remarkably aligned sarcomere and the primitive intercalated disc between the mature CMs were formed on day 7. The as-prepared Ti2C-8-cryogel ECP also demonstrated rapid calcium transients and synchronous tissue-like beating. When transplanted into the infarcted heart of the MI rat model, the Ti2C-8-cryogel ECP could improve the cardiac function, reduce the infarct size, and inhibit the inflammatory response. Obvious vasculation especially newly formed arteriole was also found. Conclusion: A novel conductive Ti2C-embedded cardiac patch with suitable conductivity and the mechanical property was developed and could be served as an ideal candidate for MI repair.
An Approach for Predicting Mainstream Cigarette Smoke Harmful and Potentially Harmful Constituent (HPHC) Yields

To ensure quality, consistency, and supply of cigarette products, a manufacturer may change materials, which can affect its product portfolio. Rather than testing each product individually to determine the effect of a change, designed experiments can be conducted using a subset of products, and statistical modeling can be performed to determine the harmful and potentially harmful constituent (HPHC) yields for the remaining products. To demonstrate this, we selected 30 representative cigarette products covering a wide range of tobacco blends, ingredients, and design parameters from a manufacturer's portfolio. Sets of cigarette products used papers produced with one type of manufacturing technology (control products) and two additional cigarette papers (changed products). The physical characteristics of the changed products' papers were similar to the control products but were manufactured using alternative methods, which could lead to differences in their chemical composition. The experiment was controlled to minimize variations among products, manufacturing, and testing. Linear regression was used to model the relationship between HPHC yields of the tested products. Twelve randomly selected products were used for validation by comparing predicted to measured yields. Model predictions were robust; differences between measured and predicted values were within standard repeatability limits, demonstrating the feasibility of this approach.https://doi.org/10.21423/jrs-v07hannel
K-fractional integral inequalities of Hadamard type for (h − m)−convex functions

In this paper, we establish Hadamard type fractional integral inequalities for a more general class of functions that is the class of (h _ m)_convex functions. These results are due to Riemann-Liouville (RL) k-fractional integrals: a generalization of RL fractional integrals. Several known results are special cases of proved results.
Engineering Nano-aggregates: β-Cyclodextrin Facilitates the Thiol-Gold Nanoparticle Self-Assembly

The structure and morphology of nonmaterial formed by colloidal synthesis represent a subject of interest as it is a factor deciding the physicochemical properties and biological applications of nanostructures. Among various nanoparticles, gold can develop fractal assembled patterns. Herein, we report a nano-aggregate of a thiol-on-gold self-assembled structure and the influence of β-cyclodextrin on the self-assembly. The host: guest association of the 5-(4-pyridyl)-1,3,4-oxadiazole-2-thiol is studied using UV-visible, fluorescence spectroscopy and molecular modelling analysis. In free form unbound to gold nanoparticles, the thiol compound forms a cyclodextrin complex with a 1: 1 stoichiometry. The thiol assembled on gold nanoparticles, aggregating to constitute irregular patterns. β-cyclodextrin encapsulates the thiol-on-gold nanoparticles and their morphology changes. The influence of β-cyclodextrin on the aggregation of the thiol guest molecule and the morphology of the thiol-on-gold nanostructure is discussed. The non-covalent complex made up by the thiol molecule with cyclodextrin plays a vital role in tuning the structure of the nanostructure when assembled on gold nanoparticles.The study will open up a significant method in the approach towards site specific drug delivery via a physical encapsulation.
Response of U.S. Rice Cultivars Grown under Non-Flooded Irrigation Management

Achieving food security along with environmental sustainability requires high yields with reduced demands on irrigation resources for rice production systems. The goal of the present investigation was to identify traits and germplasms for rice breeding programs that target effective grain production (EGP) under non-flooded field systems where the crop can be subjected to intermittent water stress throughout the growing season. A panel of 15 cultivars was evaluated over three years regarding phenological and agronomic traits under four soil moisture levels ranging from field capacity (29% volumetric water content; VWC) to just above the wilting point (16% VWC) using subsurface drip irrigation. An average of 690 ha-mm ha−1 water was applied for the 30% VWC treatment compared to 360 ha-mm ha−1 for the 14% VWC treatment. The average soil moisture content influenced several traits, including grain quality. Regression analysis identified six traits that explained 35% of the phenotypic variability of EGP. Four varieties (PI 312777, Francis, Zhe 733, and Mars) were found possessing significant slopes for 10 or more traits that respond to a range in soil moisture levels, indicating that they may offer promise for future rice breeding programs. Furthermore, based on the contrasting responses of four parent cultivars, two mapping populations were identified as potential genetic resources for identifying new quantitative trait loci/genes for improving EGP of tropical japonica rice varieties.
Clinicopathologic Pattern and Outcome of Management of Pancreatic Carcinoma in Ibadan, Nigeria

Background : Pancreatic cancer is one of the most challenging tumor entities worldwide, characterized as a highly aggressive disease with dismal overall prognosis and an incidence rate equaling mortality rate. Objective : In order to have an up-to-date data on pancreatic cancer incidence and trend in Nigeria, West Africa, we conducted an epidemiological analytical review of the pattern, management, and management outcome of pancreatic cancer in Ibadan, Nigeria. Methods : We performed a retrospective hospital-based study in which we analyzed the records of 126 pancreatic cancer patients registered, evaluated, and treated in the University College Hospital, Ibadan, a major referral tertiary Hospital in the south western region of Nigeria, West Africa from January 1999 to January 2013.The data obtained include bio-data, clinical presentation, treatment and outcome that were analyzed with descriptive statistics using SPSS 22. Results : During the period of study, 126 patients were diagnosed with pancreatic cancer, with a mean age of 60.2 years and a male-to-female ratio of 1.52:1; other parameters such as a medical history of smoking and alcoholism, tumor site, histological type, as well as the stage of diagnosis were also considered at the time of the enrolment in the study. Our statistical analyses reported a very significant correlation between patients who belonged to the age group of 30–45 years and the advanced stage of diagnosis (based on TNM classification) with P = 0.02. Conclusion : Pancreatic cancer is increasingly diagnosed in young adults at an advanced stage in the West African sub-region. Most patients present with advanced condition only amenable to palliative measures. There are significant challenges in the area of diagnosis, screening, treatment and research. The role of public health campaign to educate the populace on the disease and early presentation cannot be overemphasized. Keywords : pancreatic cancer, clinicopathologic pattern, Ibadan-Nigeria
A Novel Hybrid Approach for Detecting Recurring Code Clones in Open Source

Open source criterion and their paradigms are rapidly now becoming a well entrenched approach in the development process of applications and information systems. Copy paste programming approaches may cause severe effects on the recently developing system as it may lead to concealed dependencies and vulnerabilities in distinct parts of the system. The detection of vulnerabilities in source code is a central issue and a primary key for the computer system security. A minor flaw in a code base can severely weakens the security of a computer system and makes it an easy victim for the attackers. Manual detection of these vulnerabilities is very tedious, time consuming and also not feasible. Several detection techniques have been proposed to detect the code clones ranging from tokens, plain text to parse tree and program dependency graph along with some kind of hybrid approaches. So, there arises a need of an approach which automatically detects the bugs and reports them to the developer thereby enhancing the security of computer system. This work proposes a hybrid approach for detecting recurring bugs in large software systems. The novel aspect of proposed hybrid approach takes the advantage of token based and fingerprint based techniques for recurring bug detection.
Multiview Visualization of Software Testing Results

Software visualization can play a vital role in reducing testing efforts. It can be utilized to help testers in understanding the testing status of the code. This paper proposes a visualization technique to model the results of test cases that applied on object oriented code elements. The proposed visualization help testers to understand and to keep track on test cases and their tested code elements. Five views are proposed to cover different code levels; method, class, package, UML and system. A tool has been developed to automatically manage the software testing process and to generate the data model for the proposed visualizations. The evaluation results showed that the proposed views are useful and helpful in understanding the testing results.
Cardiovascular actions of medetomidine and their reversal by atipamezole.

: The cardiovascular effects of medetomidine were evaluated in conscious spontaneously hypertensive (SH) rats, anaesthetized normotensive rats and cats, and in the cardiovascular system of the pithed rat. The drug proved to be a highly selective alpha 2-adrenoceptor agonist in the cardiovascular system of pithed rats so that both its pre and postsynaptic actions could be antagonized by atipamezole but not by prazosin. Medetomidine showed high stereoselectivity, the pharmacologically active enantiomer being dexmedetomidine. Medetomidine was bradycardic and, after an initial increase in blood pressure, hypotensive in anaesthetized and conscious rats and in anaesthetized cats. The mechanism is activation of alpha 2-adrenoceptors since atipamezole efficiently antagonized the hypotensive and bradycardic action of medetomidine in anaesthetized cats. Finally, it was observed that atropine was not efficient in antagonizing the medetomidine-induced bradycardic response in anaesthetized rats.
Exploring hydrographical structures in the Cape Verde Frontal Zone through gliders during FLUXES-II survey

The Cape Verde Frontal Zone (CVFZ) is a dynamically complex region located at the eastern North Atlantic Subtropical Gyre (20oW to 30oW, ~20oN), where the warmer and more saline North Atlantic Central Water (NACW) and the colder and less saline South Atlantic Central Water (SACW) interact. It is defined by the intersection of the 36.0 isohaline with the 150 m depth isobath. It is subjected to high variability, with the presence of lateral intrusions, filaments from the upwelling system and mesoscale and submesoscale eddy fields with a sharp thermohaline gradient. Temperature decrease compensates the salinity decrease with depth, so both variables compensate their effect on density, making the front dynamically stable. The aim of this project is to analyse the features at the CVFZ during November 2017 using the in situ FLUXES-II data, obtained from ship CTD stations, a SeaSoar and two deep gliders with biochemical and dynamical instruments. Data and Copernicus Mercator model outputs were compared to determine their skills to capture the mesoscale and submesoscale features. The variables used on this study were potential temperature, practical salinity, potential density and oxygen concentration. Wavelet analyses were conducted to compare the different scales that can be accessed with the sampling methods. It allows to determine the main wavelengths in the signal, using distance as the independent variable rather than time. Results showed that the ship CTD data reaches the greatest depth of all the sampling methods and the SeaSoar is the fastest method. The glider and the SeaSoar capture the smallest scales and show the features with greater detail, while the glider has a slightly better resolution.
The Determinants of Capital Structure: New Evidence from Listed Companies in Vietnam

This study examines the factors which affect the capital structure of 608 non-financial firms in Vietnam during the period 2009–2017. Our findings indicate that companies with more tangible assets prefer longer term to shorter term debts while larger companies tend to borrow more to finance their activities. Furthermore, companies with high profit and high growth in Vietnam are able to opt for alternative options for raising capital in addition to borrowing. Overall, we recommend that capital structures in Vietnamese firms can be understood within a framework of the pecking order theory. Interestingly, audit reputation is the single considered determinant that does not appear to impact on the firms’ capital structure.
Experimental Design to Improve Cell Growth and Ethanol Production in Syngas Fermentation by Clostridium carboxidivorans

Fermentation of gases from biomass gasification, named syngas, is an important alternative process to obtain biofuels. Sequential experimental designs were used to increase cell growth and ethanol production during syngas fermentation by Clostridium carboxidivorans. Based on ATCC (American Type Culture Collection) 2713 medium composition, it was possible to propose a best medium composition for cell growth, herein called TYA (Tryptone-Yeast extract-Arginine) medium and another one for ethanol production herein called TPYGarg (Tryptone-Peptone-Yeast extract-Glucose-Arginine) medium. In comparison to ATCC® 2713 medium, TYA increased cell growth by 77%, reducing 47% in cost and TPYGarg increased ethanol production more than four-times, and the cost was reduced by 31%. In 72 h of syngas fermentation in TPYGarg medium, 1.75-g/L of cells, 2.28 g/L of ethanol, and 0.74 g/L of butanol were achieved, increasing productivity for syngas fermentation.
Neighborhood and community factors related to youth conduct disorder among adolescents

Aim: An estimated 3% to 5% of youth are annually diagnosed with conduct disorder (CD), making it a pressing mental health concern. While many studies have focused on the behavioral aspects of conduct disorder, environmental and neighborhood factors have yet to be explored. The present study examined specific neighborhood and community characteristics associated with youth conduct disorder. Method: A secondary analysis of the United States’ 2011-2012 National Survey of Children’s Health was conducted. Participants included a total of 34,601 adolescents aged 12-17 (52.3% were male and 47.7% were female). Results: Results from the final multivariate logistic regression model revealed that neighborhoods without parks or playgrounds, libraries or bookmobiles, litter or garbage on the sidewalks, vandalism, not being on to count on others in neighborhoods, and perceived child safety were all significant risk factors for youth conduct disorder. Conclusion: Implications of these findings and future strategies for preventing conduct disorder are discussed.
PARAMETRIC ANALYSIS OF CONCRETE RESPONSE UNDER HIGH TEMPERATURES VIA A THERMO-HYDRIC NUMERICAL MODEL

High temperatures are amongst the most critical situations in which concrete may be exposed. For safety purposes, it is, therefore, important to understand and estimate the consequences of that action on the structural integrity of concrete. The mechanical degradation suffered by a concrete structure due to high temperatures is related to energy and mass transport in a porous medium. Hence, to describe a realistic behavior ofconcrete undergoing thermal loading, a model shall take into account these phenomena.In this study, numerical simulations of the hygrothermal behavior of concrete specimen subjected to high temperature conditions were performed through a transient and nonlinear model, implemented in the Cast3M code.A parametric analysis was used to describe which parameters influenced more the model’s performance: thermal conductivity, permeability, porosity or saturation. Mecánica Computacional Vol XXXVII, págs. 1973-1982 (artículo completo) A. Cardona, L. Garelli, J.M. Gimenez, P.A. Kler, S. Márquez Damián, M.A. Storti (Eds.) Santa Fe, 5-7 Noviembre 2019 Copyright © 2019 Asociación Argentina de Mecánica Computacional http://www.amcaonline. org.ar
The Effect of Calcination Temperature on Combustion Preparation of ZnFe2O4 as Anode for Lithium Batteries

1 School of Metallurgy Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, PR China 2 National and Local Joint Engineering Laboratory for Lithium-ion Batteries and Materials Preparation Technology, Key Laboratory of Advanced Battery Materials of Yunnan Province, Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, PR China E-mail: xu.zf@jxust.edu. cn, 438616074@qq.com
On the Impact of Microsegregation Model on the Thermophysical and Solidification Behaviors of a Large Size Steel Ingot

The impact of microsegregation models on thermophysical properties and solidification behaviors of a high strength steel was investigated. The examined microsegregation models include the classical equilibrium Lever rule, the extreme non-equilibrium Scheil-Gulliver, as well as other treatments in the intermediate regime proposed by Brody and Flemings, Clyne and Kurz, Kobayashi and Ohnaka. Based on the comparative analyses performed on three representative regions with varied secondary dendrite arm spacing sizes, the classical equilibrium Lever rule and non-equilibrium Scheil scheme were employed to determine the thermophysical features of the studied steel, using the experimentally verified models from literature. The evaluated thermophysical properties include effective thermal conductivity, specific heat capacity and density. The calculated thermophysical data were used for three-dimensional simulation of the casting and solidification process of a 40 metric ton steel ingot, using FEM code Thercast®. The simulations captured the full filling, the thermo-mechanical phenomena and macro-scale solute transport in the cast ingot. The results demonstrated that Lever rule turned out to be the most reasonable depiction of the physical behavior of steel in study in large-size cast ingot and appropriate for the relevant macrosegregation simulation study. The determination of the model was validated using the experimentally measured top cavity dimension, the thermal profiles on the mold outside surface by means of thermocouples, and the carbon distribution patterns via mass spectrometer analysis.
Enhancement Quality and Accuracy of Speech Recognition System Using Multimodal Audio-Visual Speech signal

— Most developments in speech-based automatic recognition have relied on acoustic speech as the sole input signal, disregarding its visual counterpart. However, recognition based on acoustic speech alone can be afflicted with deficiencies that prevent its use in many real-world applications, particularly under adverse conditions. The combination of auditory and visual modalities promises higher recognition accuracy and robustness than can be obtained with a single modality. Multimodal recognition is therefore acknowledged as a vital component of the next generation of spoken language systems. This paper aims to build a connected-words audio visual speech recognition system (AV-ASR) for English language that uses both acoustic and visual speech information to improve the recognition performance. Initially, Mel frequency cepstral coefficients (MFCCs) have been used to extract the audio features from the speech-files. For the visual counterpart, the Discrete Cosine Transform (DCT) Coefficients have been used to extract the visual feature from the speaker's mouth region and Principle Component Analysis (PCA) have been used for dimensionality reduction purpose. These features are then concatenated with traditional audio ones, and the resulting features are used for training hidden Markov models (HMMs) parameters using word level acoustic models. The system has been developed using hidden Markov model toolkit (HTK) that uses hidden Markov models (HMMs) for recognition. The potential of the suggested approach is demonstrated by a preliminary experiment on the GRID sentence database one of the largest databases available for audio-visual recognition system, which contains continuous English voice commands for a small vocabulary task. The experimental results show that the proposed Audio Video Speech Recognizer (AV-ASR) system exhibits higher recognition rate in comparison to an audio-only recognizer as well as it indicates robust performance. An increase of success rate by 4% for the grammar based word recognition system
Polyurethane Degrading Bacteria Isolated from Decayed Teak Wood (Tectona grandis Linn. f.)

Polyurethane is a class of polymers characterized by their substantial tensile strength and high melting points which enables them to be extremely durable. Despite its xenobiotic origin, polyure-thane has been found susceptible to biodegradation by microorgan-isms. The main object of this research was to investigate polyurethane degradation by the bacterium isolated from decayed teak wood (Tec-tona grandis Linn. f.). Polyurethane degrading bacteria were isolated using selective medium in the form of LB (Luria Bertani) with the ad-dition of 0.3% Impranil. Bacterial biodegradation activities shown by the changes of polyurethane structure analyzed by FT-IR spectrosco-py. The bacterial identification was carried out based on observations on the morphological characteristics of the colonies, cell morphology and sequences of 16S rRNA encoding genes. One of the potential iso-late that successfully isolated was K9, which demonstrates the disap-pearance of the 1735/cm peak of the characteristic function urethane in the FT-IR analysis. Analysis of the 16S rRNA encoding gene showed that the potential isolate having 98% similarity index to Bacillus safen-sis strain FO-36b. The activity shown by the isolate suggests that the bacteria could be a promising agent for polyurethane degradation.