Miracle-dz/UniFAR-FTUs huggingface dataset:
Defining the Role of Autophagy Kinase ULK1 Signaling in Therapeutic Response of Tuberous Sclerosis Complex to mTOR Inhibitors

Abstract : The Tuberous Sclerosis Complex tumor suppressors are known to be critical negative regulators of the mTORC1 kinase complex that controls cell growth and autophagy. Our laboratory and others have recently decoded a major conserved route that mTORC1 uses to control autophagy. These studies demonstrate that mTORC1 inactivates another kinase complex composed of the autophagy kinase ULK1 and its associated subunits. One prediction of these findings is that in cells and tumors with TSC mutations and hyperactive mTOR, the ULK1 complex and the process of autophagy will be suppressed. There were two major aims for this funding period: 1) to better define phosphorylation sites newly identified ULK1 substrates to be used as biomarkers of mTOR inhibition, and 2) to determine whether novel small molecule inhibitors of ULK1 convert the cytostatic effects of mTOR inhibitors into cytotoxic effects when used in combination.
Genetic Diversity in Species of Abutilon Mill. from North-West India

The course of male meiosis was studied in six species of Abutilon collected from different localities in North-West India. Abutilon bidentatum, A. indicum, A. muticum, A. pannosum and A. theophrasti showed gametic chromosome number n=21 and were found to be hexaploid (6x). A. ramosum was found to be diploid (2x) with chromosome number n=8. A. muticum (n=21) has been worked out for the first time. The present study revealed that genus Abutilon is dibasic having basic chromosome numbers x=7 and 8. The genetic divergence among the selected accessions of six species of Abutilon was analyzed by using ITS of rDNA as a DNA marker. The sequences of ITS showed divergence at 126 nucleotide positions. Two major clades of Abutilon species were resolved in the phylogenetic tree with basic chromosome numbers x=7 and 8. A. ramosum (x=8) lies genetically between Abutilon species with x=7 and those species of Abutilon already shifted to genus Callianthe with x=8.
Effect of Biochar, Carpet Waste, FYM and PGPR on Growth and Yield of Rice under Organic Farming System

Rice (Oryza sativa L.) is one of the most important cereal crops belonging to the Poaceae family Oryza genus, ranked first among the three major cereals followed by wheat and maize. It provides more than 50 percent caloric intake for one out of three people on earth, shaping the lives of millions of people. Rice provides 21% of global human energy per capita and 15% of protein per capita (FAO, 2011). Among the rice developing nations on the planet, India has the largest rice trim zone (around 45 million ha) and second-place positions alongside China (IRRI 2016, Standard Rice Assessment International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 3 (2020) Journal homepage: http://www.ijcmas. com
Negative Resistance in Cascode Transistors

Cascode topology which includes a high-voltage GaN and a low-voltage Si transistor is an attractive device concept, as it takes advantage of the low on-resistance of GaN while still being compatible with Si gate drivers. It demonstrates the highest threshold voltage among normally-off GaN devices, which is a favorable feature in power electronics. However, the observation of instability in power circuits using cascode devices highlights the need for a careful analysis to reveal the origins of this phenomenon, to fulfill the unique features of these devices in high efficiency and reliable power converters. In this letter, we demonstrate the presence of negative resistance in cascode devices, which explains the previously reported large-signal instabilities. We describe a theory to characterize this negative resistance behavior based on the subthreshold-voltage operation of the high-voltage GaN transistors, and propose guidelines to resolve this issue in cascode devices. Negative resistance behavior, although not favorable for a power transistor, is of great importance in high-frequency electronics, with applications in reflection-type power amplifiers. These results, together with the presented analysis, could guide the development of high-stability, low-loss devices for future efficient power converters.
After the ordeal: health communication messages in a pregnancy-OSG

The increase use of internet open up a broad spectrum of usage. Among those are the use of sharing platform such as Instagram and facebook for particular communities. Support groups are essential part of health treatment and recovery, in this case for pregnancy condition. One can try to find solace and information through online support group. Online support group enable people from around the globe to communicate, discuss and encourage others with similar condition. This article delves the question of how women use internet-based health support group. The researcher conduct qualitative discourse analysis on an online pregnancy support group and various literatures which explores the use of internet-based support group. The findings show that women use online support group because they found lack of support offline, they need information and emotional support regarding their pregnancy loss and the recovery process, the role of medical expert and the spouses are perceived differently.
Fast Evaluation of Aircraft Icing Severity Using Machine Learning Based on XGBoost

Aircraft icing represents a serious hazard in aviation which has caused a number of fatal accidents over the years. In addition, it can lead to substantial increase in drag and weight, thus reducing the aerodynamics performance of the airplane. The process of ice accretion on a solid surface is a complex interaction of aerodynamic and environmental variables. The complex relationship makes machine learning-based methods an attractive alternative to traditional numerical simulation-based approaches. In this study, we introduce a purely data-driven approach to find the complex pattern between different flight conditions and aircraft icing severity prediction. The supervised learning algorithm Extreme Gradient Boosting (XGBoost) is applied to establish the prediction framework which makes prediction based on any set of observations. The input flight conditions for the proposed prediction framework are liquid water content, droplet diameter and exposure time. The proposed approach is demonstrated in three cases: maximum ice thickness prediction, icing area prediction and icing severity level evaluation. Performance comparison studies and error analysis are also conducted to verify the effectiveness and performance of the proposed method. Results show that the proposed method has reasonable capability in evaluating aircraft icing severity.
How to Fight against SMS-Spam: Structural Approach and Results

Although the number of different uses for mobile-data networks has grown rapidly, short message service (SMS) remains the primary message-exchange method; in addition, SMS is still necessary since it provides several advantages including the small monetary cost that is incurred per transmission, greater security compared to online social networks (OSNs). Due to the popular status of SMS, SMS spam is a form of communication that can be used to pursue malicious economic intents such as phishing and illegal advertising, or to widely distribute unwanted messages to numerous phone users. In this paper, we explore the effectiveness of using social structural approach. To this end, we introduce a methodology that shows how to expand SMS networks from small SMS datasets to social networks based on real-world datasets and possible SMS-spam attack. Also, we verify the detection effectiveness of our approach by conducting experiments.
CATALYTIC ACTIVITY OF CERIUM OXIDE NANOPARTICLES

Cerium oxide (CeO2) nanoparticles present an interesting material for various applications in biotechnology and medicine. The mechanism of CeO2 nanoparticles biological activity is supposed to be related to the presence both Ce3+ and Ce4+ ions on the surface of the nanocrystal. We studied and compared the catalytic activity of CeO2 nanoparticles synthesized by chemical and physical methods. The cerium oxide was found to demonstrate catalase-like and peroxidase activity. CeO2 nanoparticles obtained by a chemical method showed more pronounced catalytic properties. In addition, this material catalyzed the decomposition of hydrogen peroxide by the enzyme horseradish peroxidase.
The impact of leverage on the cost of capital and market value

This paper aims to investigate the impact of leverage on the cost of capital and market value in the Indonesia Stock Exchange (IDX), where there are Sharīʿah and non-Sharīʿah compliant firms. ,This study uses a mixed methods sequential exploratory design and is based on an empirical analysis undertaken with a sample of firms listed on the IDX. In particular, a qualitative analysis was conducted to identify the Sharīʿah-compliant firms and the qualitative study was designed to compare some financial elements in Sharīʿah and non-Sharīʿah compliant listed companies. The correlations among the main elements observed are considered and a principal component analysis describes the framework. ,First, the results of the analysis show that for the Sharīʿah-compliant companies, identified as those that apply Islamic principles, the lower level of leverage that it is typical of these type of firms implies a higher cost of capital [cost of equity and weighted average cost of capital (WACC)] than non-Sharīʿah ones. Secondly, for the Sharīʿah-compliant companies, the lower level of leverage entails a higher market value measured by the multiples method (price/earning and enterprise value/operating profit) than for non-Sharīʿah ones. ,This paper sheds new light on how leverage can affect the cost of capital and market value in the case of Sharīʿah and non-Sharīʿah compliant listed companies in the IDX. In particular, this research highlights the fact that Sharīʿah-compliant firms, despite having a higher WACC, create more market value compared to non-Sharīʿah compliant ones.
Study regarding the in vitro propagation in the Lilium orientale.

The modelling of the in vitro morphogenetic process with a view to the propagation to horticultural species of commercial interest is one of the main preoccupations of the present vegetal biotechnologies. The involvement of the external phytohormones in the management of the caulogenic and rhizogenic processes represents a recognized modality for inducing and performing the in vitro propagation at various plants species [2]. The in vitro formation of minibulbs by means pf biotechnological methods, at species of the Liliaceae family, offers the advantage to obtain flower bulbs after just four years of culture instead of six – seven years necessary by means of recognized horticultural methods [13]. Consequently, this study presents both the settlement of viable aseptic cultures and the influence of cytokinins BA and TDZ in the modelling of the in vitro caulogenesis starting from explants, of the stem disk fragment type or of the flaked leaf type, sampled from flower bulbs of Lilium orientale found in the period of vegetative repose (dormancy). This study also presents the influence of auxins NAA and IBA in managing the adventive rhizogenesis at the level of the minibulbs obtained in vitro. The Lilium orientale varieties studied were selected for their commercial value as cut flowers (Lilium orientale var. stargazer and Lilium orientale var. devotion), or as pot plants (Lilium orientale var. prestige and Lilium orientale var. boulevard) – [8].
Space Vector Modulation Techniques for Common-Mode Voltage Reduction in Three-Phase Transformerless Split-Source Inverters

Photovoltaic (PV) systems with low input voltage usually employ an input boost converter and an output inverter. Regarding to this issue, the split-source inverter (SSI) provides a single power conversion stage which aggregates boost capability with low switch count. On the other hand, conventional modulation strategies applied to the grid-connected SSI can result in large highfrequency common-mode voltage (CMV). Depending on the parasitic path, the CMV synthesized by the inverter can give rise to large leakage current which must be limited for security reasons. This paper proposes two space vector modulation (SVM) strategies to provide the reduction of high-frequency CMV in transformerles SSI. The first strategy is based on the selection of specific voltage vectors whereas the second strategy employs virtual vectors which correspond to the combination of existing voltage vectors. Furthermore, it is performed an analysis in terms of CMV, leakage current, total harmonic distortion of lineto-line voltages and the maximum achievable modulation index. In addition, a comparison with existing techniques is presented to demonstrate the features of the proposed strategies. Finally, simulations and hardware-in-theloop results demonstrate the benefits of the proposed techniques.
A Convenient Co-Dominant Marker for Height-Reducing Ddw1 Allele Useful for Marker-Assisted Selection

Reducing plant height improves lodging resistance and helps to obtain high grain yield under various environmental conditions. So far, the introduction and maintenance of the dwarfing allele of the Ddw1 gene is the most effective height-reducing genetic approach in rye and triticale breeding programs. However, the dominance of the dwarfing Ddw1 allele makes it difficult to select against heterozygous lines for further breeding based on plant phenotype. To assist breeders in the identification of the allele status of the Ddw1 gene, we developed a cleaved amplified polymorphic sequence (CAPS) marker that requires basic equipment and can be easily applied. The CAPS marker was tested on two F2 segregating populations of triticale, and the test showed the association of the Ddw1 genotype with plant height. The application of the marker for marker-assisted selection (MAS) for rye and triticale is discussed in detail.
Realizing the Environmental Benefits of Proactive Environmental Strategy: The Roles of Green Supply Chain Integration and Relational Capability

Although the impact of proactive environmental strategies on corporate performance has been extensively discussed in academia, the path of the impact of proactive environmental strategies on environmental performance remains unclear. In this study, we introduce a strategy–structure–performance (SSP) framework to explore the mechanism through which proactive environmental strategies improve environmental performance by utilizing green supply chain integration. Based on the questionnaire survey data of 252 Chinese manufacturing firms, a structural equation model was established to verify our hypothesis. The results show that firms that implement a proactive environmental strategy tend to promote the green integration of suppliers through internal green integration and thus improve their environmental performance. By distinguishing two kinds of activities of green supplier integration (greening the supplier and environmental collaboration with the supplier), we found that environmental collaboration with the supplier can directly promote the environmental performance of manufacturing enterprises, but supplier greening indirectly enhances the environmental performance of enterprises through supplier environmental collaboration. The boundary conditions of the influence of internal green integration on green supplier integration are discussed, and we found that the relationship cability plays a moderating role in the influence of internal green integration on supplier green integration.
Evaluation of the CRISPR/Cas9 system for the development of resistance against Cotton leaf curl virus in model plants

Over the last decade, the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) CRISPR/Cas9 system has been used by biologists in various fields. In plant biology, the technology is being utilised to manufacture transgenic plants resistant to different diseases. In Pakistan, the Cotton leaf curl virus (CLCuV) (a begomovirus) affects cotton plants causing significant loss to the economy of this agriculturally based country. In the present study, we use the CRISPR/Cas9 system in Nicotiana benthamiana Domin (a model plant) to develop resistance against CLCuV. An interesting facet of the study was the comparison of two constructs (pHSE401 and pKSE401) with regards to their efficacy in the virus inhibition. The pKSE401 vector contained a Cas9 nuclease and two guide RNAs (gRNAs), one targeting the Replication associated protein (Rep) gene and the other targeted the βC1 gene of the Betasatellite. The vector pHSE401 had only one sgRNA that targeted the (Rep) gene. Both genes that are intended to be targeted play important roles in the replication of CLCuV. Plants infiltrated with pKSE401 exhibited a delay in the development of the symptoms of the disease and showed lower virus titres. Our proposed multiplexing approach gave efficient results of the resistance in the model plants, and the results in this communication may be extended to the CRISPR/Cas9 based editing of cotton plants.
Traffic Accident Prediction Based on Multivariable Grey Model

Owing to frequent traffic accidents and casualties nowadays, the ability to predict the number of traffic accidents in a period is significant for the transportation department to make decisions scientifically. However, owing to many variables affecting traffic accidents in the road traffic system, there are two critical challenges in traffic accident prediction. The first issue is how to evaluate the weight of each variable’s impact on the accident. The second issue is how to model the prediction process for multiple interrelated variables. Aiming to solve these two problems, we propose effective solutions to deal with traffic accident prediction. Firstly, for the first issue, we exploit the grey correlation analysis to measure the correlation of factors to accident occurrence. Then, for the second issue, we select the main factors by correlation analysis to establish a multivariable grey model—MGM(1,N) for prediction process modeling. Further, we explore the collinearity between variables and better optimize the predictive model. The experimental results show that our approach achieves best performance than four general-purpose comparative algorithms in traffic accident prediction task.
Solid Medium for Culturing Black Smoker Bacteria at Temperatures to 120°C

A solid, highly thermostable medium, based on the new gelling agent GELRITE, was devised to facilitate the culturing of extremely thermophilic microorganisms from submarine hydrothermal vents. The medium remained solid at temperatures to 120°C at vapor pressures and hydrostatic pressures to 265 atm. It proved useful to its maximum tested limits in isolating colonies of black smoker bacteria from hydrothermal fluids recently collected at the Juan de Fuca Ridge in the Pacific Ocean.
Antimicrobial susceptibility of lactic acid bacteria isolated from fermented sausages and raw cheese.

ABSTRACT The aim of this study was to determine lactic acid bacteria from Croatian traditional sausages and raw cow’s cheese and to investigate their susceptibility/resistance to 23 antimicrobials. All isolates of Lactobacillus spp. and Leuconostoc spp. (n = 12) were susceptible to tetracycline, penicillin, bacitracin, chloramphenicol, cefalexin, linkomycin, erythromycin, ampicillin, spiramycin and amoxicillin, but resistant to vancomycin, nalidixic acid and metronidazole. Lactobacillus curvatus and Lactobacillus brevis 2 were resistant to nitrofurantoin and trimethoprim, Lactobacillus curvatus and Lactobacillus fermentum to oxacillin, while Lactobacillus brevis 1, Lactobacillus fermentum, Lactobacillus paracesei ssp. paracasei 1 and 2 to neomycin. Leuconostoc spp. showed resistance to streptomycin, enrofl oxacine, nitrofurantoin, sulphonamides, polymyxin B and oxacillin. These preliminary results indicate the need for further investigations of LAB populations to obtain relevant data in risk assessment related to traditional food products.
Caracterización molecular en el género Mecardonia Ruiz & Pav. (Plantaginaceae) utilizando marcadores ISSR.

En el marco del programa de desarrollo de germoplasma ornamental nativo del INTA se incluyo el estudio del genero Mecardonia. El genero en cuestion se caracteriza por su forma compacta, la variabilidad en el tamano y color de sus flores, su largo periodo de floracion y su facil propagacion. Con la finalidad de estimar la diversidad genetica presente en veinticinco individuos pertenecientes a dos especies del genero Mecardonia, se emplearon siete microsatelites anclados, los cuales generaron un total de 557 loci polimorficos, con un promedio de 80 loci por iniciador. Los valores de Rp variaron entre 11,923 y 25,231; el promedio del PIC fue de 0,130 y el MI vario de 5,875 a 12,160. A partir de la matriz de similitud genetica entre individuos, obtenida mediante la aplicacion del coeficiente de Dice y el analisis de agrupamiento (UPGMA) se construyo un fenograma que permitio separar a los 25 individuos en 3 grupos bien definidos, uno de los cuales incluye a los individuos de M. procumbens var. tenella, otro agrupa a los individuos de M. procumbens var. flagellaris, mientras que el ultimo incluye a los individuos de Mecardonia sp junto a individuos de M. procumbens var. Flagellaris. Se calculo un valor de coeficiente de correlacion cofenetica de r=0,99 entre la matriz de similitud y el fenograma generado. Los resultados obtenidos en este trabajo permitieron diferenciar inequivocamente la totalidad de los individuos analizados, pudiendose inferir un alto grado de variabilidad en la poblacion bajo estudio. Los ISSRs constituyen una herramienta molecular eficaz cuando se requiera una manipulacion simple, confiable y de bajo costo.
ISSUES OF INDIVIDUALIZATION OF MEDICATION IN PATIENTS WITH BREAST CANCER (29-32)

The purpose of this study was to search for approaches to individualization of adjuvant chemotherapeutic treatment of breast cancer based on a study of the effectiveness of anthracycline chemotherapy regimens in various molecular biological tumor subtypes. Materials and methods: The study included 399 patients with breast cancer stage I-III, differing in molecular biological tumor subtypes. Of these, 205 patients received chemotherapy. The criteria for determining the molecular biological tumor subtypes were consistent with the latest recommendations of St. Gallen (Goldhirsch et al., 2013). Tumors with ER and/or PR expression and low (<20%) Ki67 were classified as luminal A. Luminal B was associated with ER expression with either high Ki67 (>20%) or HER2/neu overexpression. In triple-negative cancer (TNC), there was no expression of any of the major markers, and in the HER2/neu type, only this receptor was overexpressed. Adjuvant chemotherapy (51.4% of patients) in our study was carried out according to CAF scheme (doxorubicin 50 mg/m 2 , cyclophosphamide 500 mg/m 2 , 5-fluorouracil 500 mg/m 2 ) or AS (doxorubicin 60 mg/m 2 , cyclophosphamide 600 mg/m 2 ) every 21 days. Radiation therapy was performed in 41.4% of patients, hormonal