Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving solanine production in in vitro cultures of Solanum nigrum L. using different chemical and physical factors

Solanum nigrum L. is a medicinal plant of solanaceae family with distinguished therapeutic properties. Traditionally, S. nigrum . had been used as an anti-tumorgenic, antioxidant, hepatoprotective, diuretic, and antipyretic agent. The most important alkaloid member in this plant is solanine. Therefore, this study was conducted to utilize tissue culture techniques for the enhancement of solanine production in the in vitro grown cultures of this promising neglected plant. For callus growth and development experimental part, the highest callus growth parameters (callus diameter (21.4 mm) and callus fresh weight (2202.4 mg) were obtained in callus grown on Murashige & Skoog MS media supplemented with 2,4-Dichlorophenoxyacetic acid (2.0 mg·L -1 ) plus 1.5 mg·L -1 Thidiazuron . Similar trend was also obtained in cell suspension culture experiment, as maximum growth was recorded at similar hormone combination. Moreover, High-performance liquid chromatography analysis revealed that, solanine was affected by growth regulator type and concentration. The highest solanine levels were obtained when the explants were treated with 6-benzylaminopurine at level of 2.0 mg·L -1 , as solanine content reached up to (2.61, 1.53 mg.g -1 ) for callus and cell suspension, respectively, while, microshoot contained the highest solanine (4.52 mg.g -1 DW) at 6-benzylaminopurine level of 1.6 mg.L -1 . Additionally, carbon source had positively affected solanine level, where 0.2 M sucrose resulted in production of the highest amounts (3.13, 2.03 and 1.20 mg.g -1 DW) of solanine in microshoots, callus and cell suspension, respectively. Also, exposing microshoots and callus to light intensity of (100 µmol.m -2 s -1 ) yielded the highest solanine content (4.03 and 1.26 mg.g -1 DW, respectively),while the lowest solanine levels (1.50 and 0.48 mg.g -1 DW) were observed in plant material exposed to the lowest light intensity treatment (25 µmol.m -2 s -1 ) .
University of Dundee An aphid effector promotes barley susceptibility through suppression of defence gene expression Escudero-Martinez,

Aphids secrete diverse repertoires of effectors into their hosts to promote the infestation process. While “omics”-approaches facilitated the identification and comparison of effector repertoires from a number of aphid species, the functional characterization of these proteins has been limited to dicot (model) plants. The bird cherry-oat aphid Rhopalosiphum padi is a pest of cereal crops, including barley. Here, we extended efforts to characterize aphid effectors with regards to their role in promoting susceptibility to the R. padi-barley interaction. We selected 3 R. padi effectors based on sequences similarity to previously characterized M. persicae effectors and assessed their subcellular localisation, expression, and role in promoting plant susceptibility. Expression of R. padi effectors RpC002 and Rp1 in transgenic barley lines enhanced plant susceptibility to R. padi but not M. persicae, for which barley is a poor host. Characterization of Rp1 transgenic barley lines revealed reduced gene expression of plant hormone signalling genes relevant to plant-aphid interactions, indicating this effector enhances susceptibility by suppressing plant defences in barley. Our data suggests that some aphid effectors specifically function when expressed in host species, and feature activities that benefit their corresponding aphid species. D ow naded rom http/academ ic.p.com /jxb/advance-articleoi/10.1093/jxb/eraa043/5716472 by Sndra Agus user on 13 Feruary 2020 Ac ce pt ed M an us cr ipt
Web-Marketing 3.0 in Social Network using MDA Approach and Pulse Detector

— In this paper we have focused on the evolution of the Web-marketing meaning the passage of the Web-marketing 2.0 to 3.0, baptized " Semantic Web-marketing ", the main idea being to make easier to the Internet user to use a huge and disrupting stream of information and make it organized and easily accessible. As so, we have chosen to use the N-tiers applications and the MDA (Model Driving Architecture) transformation. In this paper we are going to present a model-driven approach to the development of N-tiers web applications based on the UML class diagram. The transformation language is the MOF 2.0 QVT (Meta-Object Facility 2.0 Query-View-Transformation) standard which defines the meta-model for the development of model transformation. Then we introduced a webcam-pulse-detector to detect the heart beat of the clients by an imaging solution using ambient light for catching their preferences.
Total Quality Management at Algerian Higher Education Institutions to Promote Our Roles in Comprehensive Development

The aims this study to know the reality of the role for Total Quality Management (TQM) to need of Algerian Higher Education Institutions(AHEI) in apply the Total Quality Management (TQM) to promote the Comprehensive Development (CD), and this approach to enhance their roles in the comprehensive development, the efficiency of the training process, global changes and their needs to adopt a new educational policy in line with the global transformation competition, and the requirements of sustainable development, in this study was used a questionnaire composed of (75) items distributed on (08) areas, This is for confirmation the need to adopt philosophy of Total Quality Management (TQM) as a strategy imposed by the nature and the stage experienced for Algerian Higher Education Institutions(AHEI), And deal with the nature of the changes and challenges imposed by certain factors such as Globalization and the knowledge revolution, through all this inevitably to apply the Total Quality Management (TQM) in our Algerian Higher Education Institutions(AHEI).
Extraction of Text from Natural Images and Conversion to Audio in Mobile Applications by Adjacent Text Character Grouping

: Extracting text character from natural scene images is a challenging problem due to differences in text style, font, size, orientation, alignment and complex background. The text present in images and video contain certain useful information for content-based information indexing and retrieval, intelligent driving assistance and sign translation. In scene text extraction, adjacent character grouping and character stroke orientation method is performed to search for image regions of text strings. The proposed system is extracting a text and the extracted text information into audio. The Smart mobile phone application is used to show the effectiveness of our proposed method effectively.
Solutions to Mitigate Cross-Phase Modulation Impairment in Coherent Fiber-Optic Communications

In this thesis, methods of exploiting and consequently, mitigating the nonlinearities in Cross-Phase Modulation (XPM) dominated fiber-optic communication is suggested using the model provided by Ciena Corporation. An enhanced Bit Error Rate (BER) per Signal to Noise Ratio (SNR) is obtained using the solutions provided in this work compared to the state of the art methods used in Ciena Corporation. Solutions include exploiting the properties of XPM in order to devise methods to detect the received data with less probability of error in optical communication and also to come up with new constellation designs, suitable for XPM-dominated optical channels. Coherent optical communication and specifically, phase-modulated optical communication has received much attention due to its higher spectral efficiency and also better receiver sensitivity. However, due to the optical Kerr effect, two major phase nonlinearities are added to the phase of the received signal at the end of an optical fiber link called Self-Phase Modulation (SPM) and XPM. This thesis is focused on XPM dominated fiber-optic links and tries to exploit the properties of XPM in order to obtain a better performance compared to the methods in which the cancellation of XPM noise is the main objective. Finally, a constellation design is discussed, considering the model we use in this thesis. Constellation design suitable for optical communication and in particular, XPM dominated fiber-optic channels, has already been a topic of vast research, but the outcome of such efforts is highly dependant on the model used to produce XPM values. Thus, our work is unique in its own way.
Teacher Evaluation in EFL Context: Development and Validation of a Teacher Evaluation Questionnaire

Teacher Evaluation (TE) is a critical and controversial process in the teaching profession and formal education system. Effective TE requires both sound policy implementation and efficient processes, affecting the efficiency of the education system. To present a framework for research and highlight the constructs of TE, this study developed and validated a teacher evaluation questionnaire. To this end, seven TE components were identified after undertaking a comprehensive review of the literature and conducting interviews with domain experts on TE. Then a draft version of the TE questionnaire, consisting of 105 items, was pilot tested with 330 teacher evaluators, who were working for various English language institutes in Iran. The results, using Exploratory Factor Analysis (EFA), led to a 90-item questionnaire with strong estimates of reliability and validity. The results also demonstrated that the questionnaire consisted of a six-factor structure of perception, method, system, content, purpose, and outcome of TE. The subsequent Confirmatory Factor Analysis (CFA) of the data from another 360 Iranian teacher evaluators, selected through convenience sampling, indicated that the six-factor structure of the questionnaire was statistically supported, meaning that the questionnaire’s detected constructs were not the result of random variance in the participants’ responses. The results of the study have presented a framework for research and highlighted the principles of teacher evaluation.
The Direct Tunneling, Dielectric Breakdown Investigation, and RRAM Application in MBE Hexagonal Boron Nitride Monolayers Using Metal-Insulator-Metal Devices

Author(s): Cui, Zhenjun | Advisor(s): Liu, Jianlin | Abstract: In today’s post-Morre era, low-dimensional materials and their potential electronic applications have attracted extensive attention, but high-quality material synthesis and complicated device physics investigation is still challenging. Our lab is able to use Molecular Beam Epitaxy (MBE) epitaxy to reliably grow high quality millimeter grain size continuous ultrathin 2D (two-dimensional) hexagonal boron-nitridefilm (h-BN ) on Cobalt (Co) and Nickle (Ni) catalytic transition metal substrates. This is highly advantage in 2D electronic and photonic device applications. In this thesis, we report our comprehensive electric tunneling, dielectric breakdown, and memory application of single-layer h-BN film by fabricating scalable Metal-insulator-metal (MIM) diodes. Direct tunneling and dielectric breakdown in molecular beam epitaxial hexagonal boron nitride (h-BN) monolayers were studied based on Ni/h-BN/Ni device configuration in Chapter 2. Effective tunneling areas are orders of magnitude smaller than the physical areas of the devices. Statistical Weibull analysis of the breakdown characteristics shows that breakdown area-scaling law applies to the effective areas rather than physical areas of the devices. The h-BN based MIM devices can sustain repeated DC voltage sweeping stresses up to 85 times under an extremely high compliance current of 100 mA, and the critical electric field is determined to be at least 11.8 MV/cm, demonstrating high dielectric strength and reliability of these h-BN monolayers. The mechanism of the breakdown and recovery of the h-BN monolayer MIM devices is also discussed. The second project (Chapter 3) is devoted to the evaluation of Resistive Random Access Memory (RRAM) devices and the mechanism discussion of monolayer h-BN in MIM structure. The memory performance of bipolar switching shows great endurance with 97 cycles at 100mA compliance current, and a high average of 10^3 on/off ratio, but the reliability is an issue. For this particular film, both non-volatile bipolar and unipolar resistive switching (RS) and volatile threshold (TH) switching phenomena were found to coexist and could be converted from one to the other by controlling the electrical power, which provides a better understanding of the switching models. In devices with Graphene bottom electrodes, bipolar resistive switching with self-compliance current is discovered, making h-BN potential in low-power device applications.
Validation of an Instrument to Measure Student Engagement with a Standards-Based Grading System

Heidi A. Diefes-Dux is a Professor in Biological Systems Engineering at the University of Nebraska Lincoln. She received her B.S. and M.S. in Food Science from Cornell University and her Ph.D. in Food Process Engineering from the Department of Agricultural and Biological Engineering at Purdue University. She was an inaugural faculty member of the School of Engineering Education at Purdue University. Her research focuses on the development, implementation, and assessment of modeling and design activities with authentic engineering contexts. She also focuses on the implementation of learning objective-based grading and teaching assistant training.
Cab for Heart Diagnosis with RFO Artificial Intelligence Algorithm

CAB coronary artery Blockage is a main dif iculty; this causes the heart problems. Differentmodels are utilized todiagnosis theCABaswell as a category of heart problems. This work involves the heart surgery operations & very fast diagnosis. This research just requires the heart images i.e., CT-angiography images. Speed and real diagnosis are possible with technical Image processing (TIP) with the use of ML (Machine Learning) algorithm. With the help of RFO-DT (random forest optimization decision Trees) based, TIP and ML are used to detect the ROH (region of a Heart problem). Entire work consists of 2 stages; at irst pre-processing is performed and the second stage DT is extracted, probability values are calculated performed the RFO-DT-MLmodel. Coronary artery is the main tissue in the heart, so it needs more concentration; normal scanning procedures are not suf icient, so CTA is necessary. In this, data sets are collated from the IEEE data house website. Conventional methods like GA, DE, and GWO are not ef icient for heart functionality assessment for coronary artery disorders indings. If a patient with heart diseases have a problem for fast disease indings. So Fast and accurate disease inding models are required; therefore, thismodel i.e., RFOwithAI, gives the best diagnosis results with accuracy. Finally, the design has been done and progressed by 4.766% OV, OF by using 6.5%, OT by 2.5%. These are ef icient results.
My Reality Is More Truthful Than Yours: Radical Right-Wing Politicians’ and Citizens’ Construction of “Fake” and “Truthfulness” on Social Media—Evidence From the United States and The Netherlands

Although a growing body of literature has provided important insight into the conceptualization and consequences of mis- and disinformation, we know little about the construction of communicative (un)truthfulness online. Because (partisan) attributions of dishonesty and inaccuracy may influence citizens’ political opinions, and because accusations of fake news can be used to delegitimize political opponents and the media, it is important to understand how politicians and citizens construct different versions of (un)truthfulness. We specifically look at how (radical) right-wing populist politicians and citizens attribute antimedia and anti-elite sentiments in digital media settings. Against this backdrop, this article relies on two qualitative content analyses in the United States and The Netherlands to understand how discourses around (1) the epistemic status of facts and (2) inaccurate and (3) dishonest information are constructed by (radical) right-wing populists and citizens participating in Facebook discussions. The results provide important insights into the resonance of the expression of (un)truthfulness with perceptual screens and hostile media perceptions.
Deep Learning: Neural Network Applications and Architectures in Sequence and Image Classification

Deep Learning: Neural Network Applications and Architectures in Sequence and Image Classification Alexander Anthony Stec This thesis focuses on the application of neural networks to three types of classification tasks, each work with its own chapter. The objective of the first work is to take advantage of deep neural networks in order to make next day crime count predictions in a fine-grain city partition. We make predictions using Chicago and Portland crime data, which is augmented with additional datasets covering weather, census data, and public transportation. The crime counts are broken into 10 bins and our model predicts the most likely bin for a each spatial region at a daily level. We train this data using increasingly complex neural network structures, including variations that are suited to the spatial and temporal aspects of the crime prediction problem. With our best model we are able to predict the correct bin for overall crime count with 75.6% and 65.3% accuracy for Chicago and Portland, respectively. The results show the efficacy of neural networks for the prediction problem and the value of using external datasets in addition to standard crime data. For the next work, we study classification tasks that take as inputs groups of images rather than single images. In order to address such situations, we introduce a nested multi-instance
Biodegradation of dairy wastes using crude enzymatic extract of Yarrowia lipolytica ATCC 9773

Os efluentes gerados pela industria de alimentos tornaram-se uma seria preocupacao ambiental. A biorremediacao e um processo biologico desenvolvido como alternativa para o tratamento de areas contaminadas. Na pesquisa atual, a biodegradacao de gordura, a demanda bioquimica de oxigenio (DBO 5 ), a demanda quimica de oxigenio (DQO) e os solidos totais foram avaliados como rejeitos lacteos empregando extrato enzimatico de Yarrowia lipolytica ATCC 9773 como agentes biologicos. Todas as variaveis foram determinadas seguindo as especificacoes dos Metodos Padrao da American Water Works Association. O extrato enzimatico de Y. lipolytica em diferentes concentracoes (8, 12 e 16,0%) foi utilizado em meio fermentativo a dois pH (5,0 e 6,5) durante 32 h. As maiores porcentagens (%) de remocoes de gordura (82,88), DBO (43,32), DQO (44,3) e solidos totais (13,58) foram obtidas utilizando uma concentracao de inoculo de 16% a pH 5,0 durante 32 h de fermentacao. Esses resultados podem ter relevância industrial para a reducao da contaminacao de efluentes industriais com altos niveis de gordura e outros contaminantes.
Study of the chemical composition, the antioxidant activity and the organoleptic profile of Bulgarian wines from hybrid grape varieties

The chemical composition, the antioxidant activity and the organoleptic profile of Bulgarian wines from the hybrid varieties Misket Kaylashki, Rubin, Kaylashki Rubin and Trapezitsa was studied. The properties of the red wines were compared to those of Cabernet Sauvignon wine. The varieties were grown in the region of Pleven, Central Northern Bulgaria. The results had shown that the wine composition was mainly determined by the variety and its peculiarities. Misket Kaylashki white wine had the lowest rate of sugar-free extract and total acidity. From the red wines, Rubin contained the highest sugar-free extract and glycerol, Kaylashki Rubin had the lowest concentration of glycerol and the highest total acidity, Trapezitsa had the lowest sugar-free extract. In the red wines, the rate of total phenolic compounds and anthocyanins was highest in Rubin and the lowest in Trapezitsa. Misket Kaylashki, as a typical muscat wine, had the highest rates of esters. From the red wines Rubin contained the highest rate of total esters and aldehydes and the lowest higher alcohols. According to the ABTS and MRAP methods, Misket Kaylashki had the lowest antioxidant capacity, while from the red samples Rubin was reported to have the highest and Kaylashki Rubin the lowest.
Influence of loading conditions on the dynamic wear of rubber

This thesis deals with the problematics of dynamic wear of cured rubber compounds under dynamic loadings, to witch tire treads may be exposed during their performance in off-road conditions. In the first chapter of the theoretical part the basic factors that affect the wear of tread were described. The second chapter describes summary of current methods of cured rubber compounds testing and mechanism of tread wear in off-road conditions which is called cut and chip (CC). For the experimental part, two cured rubber compounds based on uncured rubber compounds with a variation of the rubber were chosen. These cured rubber compounds were tested for fundamental mechanical properties. The primary part of the experimental chapter is then focused on the influence of variations of boundary conditions of dynamic loadings and their resulting dynamic wear. For these analyses was used method to characterize the wear resistance under dynamic loadings. The results showed significantly different behaviour of used cured rubber compounds in context with variations of rubber and the contribution of the chosen method to simulate real tread wear in laboratory conditions.
Investment behavior of the Polish farms – is there any evidence for the necessity of policy changes?

Investment in agriculture is related to modernization and technological upgrading of agricultural holdings and it influences all the aspects of functioning of farms. Numerous studies proof that investment plays a key role in improving farms’ competitiveness and increases their resilience to changes in surrounding. The aim of the paper is to analyze the investment behavior of the Polish farmers. The study was conducted on the basis of the Polish Farm Accountancy Data Network data for the period 2009-2015 and it applies a logistic regression model. The results indicate that eight variables have a statistically significant impact on investment. These are: share of the land leased by the farmer under a lease contract for a period of at least 1 year in the total agricultural land, land yield indicator, land productivity index, education of the person managing the farm, quality of utilized agricultural area, production type, debt capital ratio and return on equity. Following the results, it can be stated that policy support needs to concentrate on smaller farms which lack resources to conduct investment necessary for the improvement of their competitiveness.
First report of Rutstroemia elatina (Ascomycota) from Turkey

The purpose of this research was to identify Rustroemia samples from Bolu province (Turkey) on June 22, 2019. The samples were identified based on both conventional and molecular methods (ITS region of the rDNA). By considering the high sequence similarity of the collected samples (Akata 7020) with Rutstroemia elatina (Alb. & Schwein.) Rehm, the relevant specimen was considered to be R. elatina and the morphological data supported this finding. This species was firstly reported from Turkey. The results of the molecular analysis and a short description of the newly reported species along with its colored images associated with macroscopic and microscopic structures were conferred