Miracle-dz/UniFAR-FTUs huggingface dataset:
Durum wheat (Triticum turgidum L. var. durum) a suitable vehicle for Biofortification strategies to increase yellow pigment content in staple cereal based food: A review

In effort to reduce micronutrient malnutrition in human populations,Biofortification is the best sustainable and cost effective way, nowadays various efforts to biofortify various staple crops are under progress. Durum wheat ( Triticum turgidum L. var. durum )because of its quality and high nutritional value can serve as a suitable vehicle for biofortification of cereal based food to ensure nutritional security to humanity.Grain yellow pigment content (GYPC) is an important trait that determines pasta and other product quality.The main objective of this review is to examine the genetics regulating GYPC and to provide a comprehensive literature for wheat breeders to increase Pro vitamin A (β-carotene) for consumers. Although GYPC is a polygenic trait, itshigh heritability has facilitated breeding internationally. GYPC is influenced by twomajor loci with additive effects plus several minor genes, and this study provide evidence showing that thePhytoene synthase loci PSY1A and PSY1B are strong candidate genes that regulate GYPC, using functional markers available for these putative QTL it is easy to validate the transfer of important Psy loci for development of superior wheat varieties for GYPC.
Short, Heavy and Underrated? Teacher Assessment Biases by Children's Body Size

We compare non&#8208;blind teacher assessments with blind national test scores in maths to examine teacher&#8208;test score disparities by children's height and weight. Relative to test scores, shorter and heavier children are rated less favourably by teachers. This teacher&#8208;test score discrepancy cannot be explained by the child's behaviours, motivation to learn or cognitive ability. Unobserved student fixed effects across subjects explain the teacher&#8208;test score discrepancy by height, but not weight. Our analysis points to biased teacher assessments as the most plausible explanation for the remaining teacher&#8208;test score gap by weight. We find harsher teacher assessments are associated with a reduction in both the child's future test performance and liking for maths 4 years later.
TWO-PHASE FLOW PATTERNS VISUALIZATION OF CARBON DIOXIDE

It is well known that carbon dioxide is a very interesting alternative for replacing chlorofluorcarbons (CFCs), hydrochlofluorcarbons (HCFCs), and hydrofluorcarbons (HFCs) since it is non-flammable, non-toxic, inexpensive and widely available, and does not affect the global environment. In addition, CO2 has excellent thermo physical properties, leading to good heat transfer, efficient compression, and compact systems design due to high volumetric capacity. Despite its importance for designing evaporators and condensers, a review of the open literature shows that heat transfer data during phase change of carbon dioxide is very limited, mainly for microchannel flows. This paper will contribute to the subject of flow visualization of CO2 vaporization inside a 0.8 mmhydraulic diameter microchannel. A total of 28 tests were performed at saturation temperature of 23.3°C for one heat flux of 1800 W/(m°C). Vapor qualities ranged from 1 to 81% and mass flux ranged from 58 to 235 kg/(ms). The results showed three flow patterns. For low vapor qualities (up to about 25%), plug flow was predominant, while slug flow appeared to occur at moderated vapor qualities (from about 25 to 50%). Annular flow was speculated to be the flow pattern for higher qualities.
Discovery of ML216, a Small Molecule Inhibitor of Bloom (BLM) Helicase

BLM helicase is a DNA unwinding enzyme critical in DNA repair via the homologous recombination (HR) pathway. Mutations of the BLM gene result in diminished BLM helicase activity and can cause Bloom’s Syndrome, which is characterized by a long list of phenotypes, including predisposition to cancers. Similar to other DNA repair enzymes, inhibition of BLM helicase results in sensitization of tumor cells to conventional cancer therapies, such as camptothecin. Currently, there are no known small molecule inhibitors of BLM helicase; thus, the discovery of a novel small molecule inhibitor would help define the mechanism of action of the enzyme and provide a basis for future development of inhibitors and cancer therapeutics. The first-in-class probe molecule described herein (ML216) displays low micromolar potency and selectivity over related helicases, such as RECQ1, RECQ5, and E. coli UvrD helicases. This probe also inhibits cell proliferation of BLM-proficient fibroblast cells (PSNF5) while having only minimal effects on BLM-deficient fibroblast cells (PSNG13), indicating on-target activity in a cellular context. In addition, the probe molecule increases the frequency of sister chromatid exchanges, a diagnostic cellular phenotype consistent with the absence of a functional BLM protein.
A NOVEL APPROACH TO REDUCE THE NOISE OF TIME SERIES DATA USING PREDICTIVE WEIGHTED MOVING AVERAGE

A time series is eventually a collection of periodic recording of data. The data series based on time can be a collection from various sources with symmetric or dissymmetric nature depending on the nature of the data [1]. For example in case of random data sources, the weightage average of the data cannot produce any significant point to make any prediction, thus making it more difficult to use it for any statistical analysis [2] [16]. In order to get rid of the problem, the use of moving average and considering the moving average as new time series data for predictive analysis is the most popular way [3]. Nevertheless, the moving average or MA method is prone to error for multiple reasons. In this work, the problems of the MA methods are been highlighted and suitable solutions are also been recommended
Domestic Resource Mobilization and Under-Five Mortality in Nigeria

This study considered domestic resource mobilisation and allocation to healthcare service delivery due to the high rate of infant deaths in Nigeria. Value addition in the agricultural sector is captured as a major source of revenue which could be channelled towards increased government expenditure in healthcare. As such, the paper applies vector error correction technique on yearly data for the period 1981 to 2015. It investigates the long-run relationship and short-run dynamics between under-five mortality on the one hand, with female literacy, agricultural productivity, tax revenue, and gross capital formation on the other hand. Outcome of the study indicates, from a long run perspective, under-five mortality is positively related to tax revenue, female literacy rate and gross capital formation. However, there is a negative relationship between under-5 mortality and agricultural productivity. Moreover, as Nigeria diversifies away from crude oil towards agriculture, increased productivity and tax revenues could be channelled towards better health outcomes and rural transformation. Furthermore, enhanced management of tax and better budgeting towards the agricultural sector is recommended. In addition, infrastructure development, agro-allied investments will ensure reduction in agricultural waste and supply costs. The outcomes portend significant relevance for meeting Sustainable Development Goals 2, 3, 4, & 10.
COMPARISON OF CORE STRENGTHENING EXERCISES AND GENERAL TRUNK EXERCISES IN PATIENTS WITH CHRONIC LOW BACK PAIN USING LUMBO-PELVIC STABILITY TESTS AND PELVIC RADIUS TECHNIQUE

Background: Core stability is defined as comprising of the lumbopelvic-hip complex and is the capacity to maintain equilibrium of the vertebral column within its physiologic limits by reducing displacement from perturbations and maintaining structural integrity. Over the years, the concept of core stability has changed and authors have highlighted the significance and contribution of the transversus abdominus muscle, especially, in lumbo pelvic stability. Upon this basis, it has now become an important part in the management of spinal stability. Thus, exercises relying on the activation, recruitment and strengthening the core muscles are a common avenue of treatment of chronic back pain. Pelvic compensation of the sagittal spinal alignment is important as it correlates to lumbar lordosis and overall sagittal balance. Hence pelvic radius technique (PRT) is used to measure the lumbar lordosis.
Feature Based Growth Rate Analysis and Pattern Recognition of Mesenchymal Stem Cells

- Stem cell is a generic cell that can make exact copies of it. Stem cells are master cells and can grow into different cell types in the body during evolution. Different parts of your body are made up of different kinds of cells. Stem cells are not specific to one area in the body and can turn into skin, bone, blood or brain cells. Occasionally stem cells do not build up accurately once injecting to human body, which will lead to complicated. To avoid this problem the growth of the stem cell should be monitored with the help of morphological and textural characteristics. Meanwhile, with the rapid development of feature extraction and pattern recognition techniques, it provides people with new thought on the study on complex image retrieval while it’s very difficult for traditional machine learning method to get ideal retrieval results. Pattern Recognition is one of the very important and actively searched trait or branch of artificial intelligence. It is the science which tries to make machines as intelligent as human to recognize patterns and classify them into desired categories in a simple and reliable way. For this reason, proposed a new approach for image features based on Modified Non Subsampled Contourlet Transform (MNSCT), Radial Basis Function Kernel Principal Component Analysis (RBFKPCA), and Relevance Vector Machine (RVM). The proposed method is used to extract the salient features of stem cell images by using efficiency of Modified Non Subsampled Contourlet Transform (MNSCT) that finds the best feature points. Relevance Vector Machine (RVM) is a probabilistic model whose functional form is equivalent to the SVM. It achieves comparable recognition accuracy to the SVM, yet provides a full predictive distribution, and also requires substantially fewer kernel functions.
The Effect of Requirements Quality and Requirements Volatility on the Success of Information Systems Projects

This study aims to identify the effect of poorly written requirements specifications of software development and its continuous changes; on information systems’ projects success and its influence on time and cost overrun of the project based on empirical understanding in practice. As the world is moving towards the internet of things and due to the dramatic increase in demand on complex information systems projects, the development of information systems became more difficult and handling the customers’ requirements became very challenging. This research follows a conclusive design, Using a descriptive research design was held first to reveal and discover the characteristics of a good requirement, and then a quantitative method was used through conducting questionnaire and distributing to more than 400 participants in the software industry in Egypt, to understand the relationship between variables and how to improve the quality of data based on real world observations or experiment. The data collected was analyzed using python and R analysis techniques. The results indicates that, the organizations with the highest quality of requirements and less requirement volatility, have higher software success rates in terms of Project’s efficiency as well as Business and direct organizational success, while the requirements volume doesn’t have significant effect on success rates. From this analysis we developed an initial model.
Behaviour of sexually deceived ichneumonid wasps and its implications for pollination in Cryptostylis (Orchidaceae)

Pollination via sexual deception is hypothesised to be associated with more frequent outcrossing and greater pollen dispersal distances than strategies involving food-foraging behaviour. In this study, we investigated the behaviour and movement distances of Lissopimpla excelsa (Hymenoptera: Ichneumonidae), and their implications for the pollination of the sexually deceptive Cryptostylis ovata (Orchidaceae). Pollinator observations revealed that while L. excelsa will alight on multiple flowers within a single visit to a patch of orchids, the frequency of attempted copulation decreases with successive visits, suggesting that pollinator learning may inhibit withinpatch pollen transfer. Mark-recapture demonstrated that 25% of wasps revisited inflorescences within a day and 50% revisited within a week. Despite the apparent site fidelity of some individuals, L. excelsa often move over large distances (maximum = 625 m), and are capable of dispersing pollen between patches. To resolve the consequences of pollination by sexual deception of ichneumonids, we compared our results with those from studies of other sexually deceptive systems. While pollination rates were comparable with other sexually deceptive orchids, L. excelsa showed high rates of column contact and moved over large distances relative to other sexually deceived pollinators. Among sexually deceptive orchids in general, the frequency of column contact was not correlated either with the frequency of pseudocopulation or with pollination rate. These results suggest that the consequences of pollination by sexual deception may vary extensively between plant taxa due to variation in floral traits, and behavioural differences between pollinator groups.
Efficient 2.4-D and TDZ-assisted somatic embryogenesis and plant let regeneration in Indian soybean (Glycine max L.) from cotyledonary explants

An efficient system for somatic embryogenesis was standardized. Immature cotyledonary explants of in vitro grown plants of Indian soybean cultivar (Pk 416). Somatic embryos were induced directly from cotyledon explants on Murashige and Skoog’s (MS) medium fortified with different concentrations of 2,4dichlorophenoxyacetic acid, (1.0 mg/L to 5.0mg/L), fast growing, greenish nodular callus lines containing somatic embryos were established on initiation medium supplemented with (3.0 mg/L 2.4-D respectively. On subculture of Embryo development and well maturation was achieved on MS medium supplemented with (3.0mg/L 2, 4-D + 1.0mg/L TDZ). The well formed embryos germinated into complete plantlets on MS medium containing (3.0mg/L 2, 4-D+1.0mg/L) TDZ. Individual shoots were aseptically excised and sub cultured in the same media for shoot elongation. The elongated shoots were transferred to Indole Butyric Acid (IBA) (1.0mg/L–5.0mg/L) for root induction. Rooting was observed within two weeks of culture. Rooted plantlets were successfully hardened under culture conditions and subsequently established in the field conditions. The recorded survival rate of the plants was 86%. Plants looked healthy with no visually detectable phenotypic variations.
Understanding resource partitioning in sympatric seabirds living in tropical marine environments

ABSTRACT Two closely-related species living in sympatry can only coexist if a shift towards a novel ecological niche occurs. For seabird species breeding in tropical regions, competitive pressures intensify due to high population densities in colonies and sporadic prey resources. Here, we used a stable isotope approach to infer inter- and intraspecific variation in foraging behaviour in two congeneric seabird species: Brown Booby (Sula leucogaster, N = 31) and Red-footed Booby (S. sula, N = 30) breeding on Raine Island in the Great Barrier Reef, Australia. Blood (red blood cells and plasma components) and feather samples were collected from breeding birds for δ13C and δ15N analysis. We found significant δ13C interspecific differences in feather and red blood cell tissue, but not in plasma, whereas δ15N values did not differ significantly between species in any of the tissues. Although interspecific differences were small, higher δ13C values found in Brown Boobies suggest differences in foraging strategy between the two species. Inter-sexual differences, either in size or ecology, did not translate into dietary niche segregation. This study suggests that niche-partitioning processes are flexible in the temporal scale, and can be constrained by reproductive behaviour and availability of prey resources.
THE EFFECT OF USING QUESTION AND ANSWER RELATION-SHIP (QAR) STRATEGY ON READING COMPREHENSION

Problem in this research is how to improve reading comprehension by using Question and Answer Relationship (QAR) strategy at the X Grade of SMA Negeri 1 Batangtoru. Thus, the objective of this research is to know if there is any significant effect of using Question and Answer Relationship (QAR) strategy to students’ reading comprehension at the X grade of SMA Negeri 1 Batangtoru. Experimental research method is the research method that is used by the researcher to conduct this research. Population of this research was the X students of SMA Negeri 1 Batangtoru, namely 151 students while for tecnique of taking the sampling by using cluster sampling that is 36. The instrument of this research is test about reading comprehension.Based on the data that has been analyzed, it can be found that (1) the students’ achievement in reading comprehension by using Question and Answer Relationship (QAR) strategy) at the X grade of SMA Negeri 1 Batangtoru is “enough” (69.72), (2) their value before using Question and Answer Relationship (QAR) strategy at the X grade of SMA Negeri 1 Batangtoru can be categorized “enough” (61.94), and (3) there was a significant effect of using Question and Answer Relationship (QAR) strategy on reading comprehension at the X Grade of SMA Negeri 1 Batangtoru. It meant that the hypothesis was accepted.
Factors in glutamate excitotoxicity, inflammation and epilepsy

ii PREFACE . iv TABLE OF CONTENTS . v LIST OF TABLES . xii LIST OF FIGURES . xiii LIST OF ABBREVIATIONS . xv ACKNOWLEDGEMENTS . xxi DEDICATION . xxii CHAPTER ONE: INTRODUCTION . 1 1.1 Temporal lobe epilepsy . 1 1.1.
A METHODOLOGY TO DETERMINE THE TEMPERATURE DISTRIBUTION ON THE GROUND UNDER A PLASTIC COVER EXPOSED TO THE SOLAR RADIATION

This paper presents an analytical and experimental methodology to determine the ground temperature under a translucent plastic cover. The experimental methodology consists on the measurement of the temperature on several depths of the ground, of the airflow temperature, of the airflow velocity and of the incident solar radiation. The mathematical model developed allows one to evaluate the temperature on several depths of the ground, since the external environment temperature, the incident solar radiation and the plastic and ground thermal and optical properties are known. A comparison between numerical results and data obtained in an experimental prototype was done in order to check the mathematical model.
Interactions between bacteria and polychaetes in the sediment and the role of temperature : A preliminary experiment

Interactions between benthic macrofauna and bacterial communities in the sediment are very complex. The most conspicuous animal effects on sediment decay processes are caused by burrowing and ventilation activity and by direct feeding on detritus and associated microorganisms. Microbial activity can be stimulated by animals due to fractioning of particles. The direct assimilation of detritus components by macrobenthic organisms can however competitively remove substrates that are otherwise available to microbial decomposers. The aim of this work was to study the possible interactions between macrofauna and bacterial community by a laboratory experiment using microcosms and INT to quantify active bacterial populations with two different temperature values (10°C and 21°C). Hediste diversicolor (Polychaeta: Nereididae) - a detritivore polychaete - was considered in this study. This species is known as an important bioturbator of shallow coastal sediments. Results showed that the presence of polychaetes in the sediment (muddy and sandy) reduced bacterial activity at 21°C while no differences were detected at 10°C. The temperature seemed to play a fundamental role in determining the type of interactions between polychaetes and bacterial community in sediment. The results were similar in both type of sediments.
IN SILICO MOLECULAR DOCKING AND PHARMACOKINETIC PREDICTION OF GALLIC ACID DERIVATIVES AS PPAR-γ AGONISTS

Objective: To perform molecular docking and pharmacokinetic prediction of gallic acid derivatives as Peroxisome proliferator-activated receptors-γ (PPAR-γ) agonist for the treatment of diabetes. Methods: Molecular docking study on gallic acid and different derivatives of gallic acid was performed using GOLD v5.2 software. In addition to this, all the derivatives were analysed for drug likeliness, Lipinski’s rule and ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties using online tools like admet SAR, Molinspiration and Medchem designer. Results: Molecular docking studies reveals that SSP-12, SSP-13 and SSP-40 demonstrated significant binding to the PPAR-γ receptor with good Gold score fitness (73.11, 69.86 and 75.51 respectively) and relative ligand energy (-8.26,-8.33 and-7.82, respectively) as compared to standard drugs i.e. rosiglitazone and pioglitazone, (64.10 and 66.72) and (-4.30 and-2.47) respectively. Conclusion: The final results of molecular docking along with information gathered from pharmacokinetic parameters of gallic acid derivatives may be utilised further for the development of newer PPAR-γ agonists having anti-diabetic potential with better pharmacokinetic and pharmacodynamic profile.
Automated Flower Species Detection and Recognition using Neural Network

- In the proposed to have a strategy for characterization of blossoms utilizing Neural Network (NN) classifier. The proposed strategy depends on textural highlights, for example, Gray level co-event network (GLCM) and discrete wavelet change (DWT). A bloom picture is divided utilizing an edge based technique. The informational collection has distinctive bloom pictures with comparative appearance . The database of blossom pictures is a blend of pictures taken from World Wide Web and the pictures taken by us. The ANN has been prepared by 50 examples to order 5 classes of blossoms and accomplished arrangement exactness over 85% utilizing GLCM includes as it were.
A Hybrid Approach to Enhance Scalability, Reliability and Computational Speed in LoRa Networks

The spreading out of Internet of Things (IoT) facilitates with new wireless communication Technologies. To have reliable communication for long duration, low power wide area can be aimed at sensor nodes. These days, LoRa has become a recognizable preference for IoT based solutions. In this paper LoRa network performance is analyzed. A hybrid technique is proposed to overcome the scalability, reliability and computational speed issues in LoRa network. In the proposed hybrid technique, a lightweight scheduling technique is used to address scalability and reliability issues and then pruning algorithm is also incorporated to enhance the computational speed of LoRa network for IoT applications. Further, LoRa network for IoT applications is analyzed using LoRaWAN NS-3 module and the parameters packet error ratio (PER), network throughput and fairness for improved reliability and scalability are illustrated. Simulation results are obtained for multiple gateways scenarios. The analysis presents that the LoRa network has addressed scalability and reliability issues using lightweight scheduling technique and computational speed is also enhanced using pruning algorithm. Therefore, the hybrid technique illustrated for LoRa network for IoT applications is in good agreement.