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Artemisinin, a sesquiterpene lactone obtained from Artemisia annua, is an essential therapeutic against malaria. YABBY family transcription factor AaYABBY5 is an activator of AaCYP71AV1 (cytochrome P450–dependent hydroxylase) and AaDBR2 (double-bond reductase 2); however, the protein–protein interactions of AaYABBY5, as well as the mechanism of its regulation, have not yet been elucidated. AaWRKY9 protein is a positive regulator of artemisinin biosynthesis that activates AaGSW1 (glandular trichome–specific WRKY1) and AaDBR2 (double-bond reductase 2). In this study, YABBY–WRKY interactions are revealed to indirectly regulate artemisinin production. AaYABBY5 significantly increased the activity of the luciferase (LUC) gene fused to the promoter of AaGSW1. Toward the molecular basis of this regulation, AaYABBY5 interaction with AaWRKY9 protein was found. The combined effectors AaYABBY5 + AaWRKY9 showed synergistic effects toward the activities of AaGSW1 and AaDBR2 promoters, respectively. In AaYABBY5 overexpression plants, the expression of GSW1 was found to be significantly increased when compared to that of AaYABBY5 antisense or control plants. In addition, AaGSW1 was identified as an upstream activator of AaYABBY5. Further, it was found that AaJAZ8, a transcriptional repressor of jasmonate signaling, interacted with AaYABBY5 and attenuated its activity. Co-expression of AaYABBY5 and anti-AaJAZ8 in A. annua increased the activity of AaYABBY5 toward artemisinin biosynthesis. This current study provides the first indication of the molecular basis of regulation of artemisinin biosynthesis through YABBY–WRKY interactions, which are regulated through AaJAZ8. This knowledge presents AaYABBY5 overexpression plants as a powerful genetic resource for artemisinin biosynthesis.

Disturbances in hepatic and renal profile are well documented in diabetic patients. Antenatal pregnant women (n=300) selected for blood sampling during the early 2ndtrimester (14–18 weeks of gestation) including 176 pregnant women with positive family history of GDM and 124 women without any history of GDM. All the subjects were followed up to the early 3rd trimester (24-28 weeks of gestation) or until the onset of GDM for second sampling. Mean values of ALP, AST and GGT were significantly higher (p

UV-B radiation is a pivotal photomorphogenic signal and positively regulates plant growth and metabolite biosynthesis. In order to elucidate the transcriptional regulation mechanism underlying UV-B-induced artemisinin and flavonoid biosynthesis in Artemisia annua, the transcriptional responses of A. annua L. leaves to UV-B radiation were analyzed using the Illumina transcriptome sequencing. A total of 10705 differentially expressed genes (DEGs) including 533 transcription factors (TFs), were identified. Based on the expression trends of the differentially expressed TFs as well as artemisinin and flavonoid biosynthesis genes, we speculated that TFs belonging to 6 clusters were most likely to be involved in the regulation of artemisinin and/or flavonoid biosynthesis. The regulatory relationship between TFs and artemisinin/flavonoid biosynthetic genes was further studied. Dual-LUC assays results showed that AaMYB6 is a positive regulator of AaLDOX which belongs to flavonoid biosynthesis pathway. In addition, we identified an R2R3 MYB TF, AaMYB4 which potentially mediated both artemisinin and flavonoid biosynthesis pathways by activating the expression of AaADS and AaDBR2 in artemisinin biosynthesis pathway and AaUFGT in flavonoid biosynthesis pathway. Overall, our findings would provide an insight into the elucidation of the parallel transcriptional regulation of artemisinin and flavonoid biosynthesis in A. annua L. under UV-B radiation.

Summary Artemisinin, a sesquiterpene lactone widely used in malaria treatment, was discovered in the medicinal plant Artemisia annua. The biosynthesis of artemisinin is efficiently regulated by jasmonate (JA) and abscisic acid (ABA) via regulatory factors. However, the mechanisms linking JA and ABA signalling with artemisinin biosynthesis through an associated regulatory network of downstream transcription factors (TFs) remain enigmatic. Here we report AaTCP15, a JA and ABA dual‐responsive teosinte branched1/cycloidea/proliferating (TCP) TF, which is essential for JA and ABA‐induced artemisinin biosynthesis by directly binding to and activating the promoters of DBR2 and ALDH1, two genes encoding enzymes for artemisinin biosynthesis. Furthermore, AaORA, another positive regulator of artemisinin biosynthesis responds to JA and ABA, interacts with and enhances the transactivation activity of AaTCP15 and simultaneously activates AaTCP15 transcripts. Hence, they form an AaORA‐AaTCP15 module to synergistically activate DBR2, a crucial gene for artemisinin biosynthesis. More importantly, AaTCP15 expression is activated by the multiple reported JA and ABA‐responsive TFs that promote artemisinin biosynthesis. Among them, AaGSW1 acts at the nexus of JA and ABA signalling to activate the artemisinin biosynthetic pathway and directly binds to and activates the AaTCP15 promoter apart from the AaORA promoter, which further facilitates formation of the AaGSW1‐AaTCP15/AaORA regulatory module to integrate JA and ABA‐mediated artemisinin biosynthesis. Our results establish a multilayer regulatory network of the AaGSW1‐AaTCP15/AaORA module to regulate artemisinin biosynthesis through JA and ABA signalling, and provide an interesting avenue for future research exploring the special transcriptional regulation module of TCP genes associated with specialized metabolites in plants.

Metal ions are essential for plant growth and development, but in excess, these compounds can become highly toxic. Plants have adopted numerous ways to maintain metal homeostasis while mitigating adverse effects of excess metal ions, including phytochelatin and the metal-chelating proteins metallothioneins (MTs). A family of cysteine (Cys)-rich, intracellular, and low-molecular-weight (4–8 kDa) MTs are proteins found in nearly all phyla including plants, animals, and fungi, and they have the potential to scavenge reactive oxygen species and detoxify toxic metals including copper, cadmium, and zinc. Based on their Cys numbers and residues, MTs have been categorized into three major classes. Class I MTs, which have highly conserved Cys residues, are found in animals, while class II MTs, with less conserved Cys residues, are present in plants and are classified further into four groups. Class III MTs include phytochelatins, a group of enzymatically synthesized Cys-rich proteins. The MTs have been an area of interest for five decades with extensive studies, which have been facilitated by advancements in instrumental techniques, protein science, and molecular biology tools. Here, we reviewed current advances in our understanding of the regulation of MT biosynthesis, their expression, and their potential roles in the alleviation of abiotic stresses (i.e., drought, salinity, and oxidative stresses) and heavy metal detoxification and homeostasis.

Artemisia annua is a medicinal plant rich in terpenes and flavonoids with useful biological activities such as antioxidant, anticancer, and antimalarial activities. The transcriptional regulation of flavonoid biosynthesis in A. annua has not been well-studied. In this study, we identified a YABBY family transcription factor, AaYABBY5, as a positive regulator of anthocyanin and total flavonoid contents in A. annua. AaYABBY5 was selected based on its similar expression pattern to the phenylalanine ammonia lyase (PAL), chalcone synthase (CHS), chalcone isomerase (CHI), and flavonol synthase (FLS) genes. A transient dual-luciferase assay in Nicotiana bethamiana with the AaYABBY5 effector showed a significant increase in the activity of the downstream LUC gene, with reporters AaPAL, AaCHS, AaCHI, and AaUFGT. The yeast one-hybrid system further confirmed the direct activation of these promoters by AaYABBY5. Gene expression analysis of stably transformed AaYABBY5 overexpression, AaYABBY5 antisense, and control plants revealed a significant increase in the expression of AaPAL, AaCHS, AaCHI, AaFLS, AaFSII, AaLDOX, and AaUFGT in AaYABBY5 overexpression plants. Moreover, their total flavonoid content and anthocyanin content were also found to increase. AaYABBY5 antisense plants showed a significant decrease in the expression of flavonoid biosynthetic genes, as well as a decrease in anthocyanin and total flavonoid contents. In addition, phenotypic analysis revealed deep purple-pigmented stems, an increase in the leaf lamina size, and higher trichome densities in AaYABBY5 overexpression plants. Together, these data proved that AaYABBY5 is a positive regulator of flavonoid biosynthesis in A. annua. Our study provides candidate transcription factors for the improvement of flavonoid concentrations in A. annua and can be further extended to elucidate its mechanism of regulating trichome development.

Background The Agrobacterium-mediated transient transformation, which proved effective in diverse plant species, has been widely applied for high-throughput gene function studies due to its simplicity, rapidity, and high efficiency. Despite the efforts have made on Artemisia annua transient expression, achieving high-throughput gene functional characterization basing on a fast and easy-manipulated transient transformation system in A. annua remains challenging. Results The first pair of true leaves of A. annua is an ideal candidate for Agrobacterium injection. EHA105 was the optimal strain that can be used for the development of the transient expression system. The supplementation of Triton X-100 at a concentration of 0.005% greatly improved the transient expression frequency. According to the histochemical β-Glucuronidase (GUS) staining assay, high transient expression level of the reporter gene (GUS) maintained at least a week. Dual-luciferase (Dual-LUC) transient assays showed that the activity of cauliflower mosaic virus 35S (CaMV35S) promoter and its derivates varied between A. annua and tobacco. In A. annua, the CaMV35S promoter had comparable activity with double CaMV35S promoter, while in tobacco, CaMV35S exhibited approximately 50% activity of double CaMV35S promoter. Otherwise, despite the CaMV35S promoter and double CaMV35S promoter from GoldenBraid Kit 2.0 displayed high activity strength in tobacco, they demonstrated a very low activity in transiently expressed A. annua. The activity of UBQ10 promoter and endogenous UBQb promoter was investigated as well. Additionally, using our transient expression system, the transactivation of AaGSW1 and AaORA on AaCYP71AV1 promoter was confirmed. Dual-LUC assays demonstrated that AaHD8 activated the expression of two glandular secreting trichomes-specific lipid transfer protein genes AaLTP1 and AaLTP2, indicating that AaLTP1 and AaLTP2 might serve as downstream components of AaHD8-involved glandular trichome initiation and cuticle formation, as well as artemisinin secretion in A. annua. Conclusions A simple, rapid, good-reproducibility, high-efficiency and low-cost transient transformation system in A. annua was developed. Our method offered a new way for gene functional characterization studies such as gene subcellular localization, promoter activity and transcription activation assays in A. annua, avoiding the aberrant phenotypes resulting from gene expression in a heterologous system.

Due to overlapping and diverse morphological characters, Berberis is among the most taxonomically complex genera. Palynology is one of the taxonomic tools for delimitation and identification of complex species. In this study, pollens of 10 Berberis species were analyzed through light and scanning electron microscopy. Qualitative as well as quantitative features (pollen shape, size, presence or absence of colpi, colpi length and width, exine thickness, ornamentation, pollen class, aperture, and polar-equatorial ratio) were measured. Five species were observed to have colpate (pantocolpate) with elongated ends, radially symmetrical, isopolar, monads, and psilate-regulate pollens. In polar view, six pollen were spheroidal, two were ovoid, one spherical, and one oblate. Similarly, variation in pollen length was prominent and the largest pollen on polar view was recorded for B. psodoumbellata 60-65 μm (62.4 ± 0.9), while the smallest one was observed for B. lycium 29-35 μm (32.2 ± 1). The observed variation in both quantitative and qualitative features were important in taxonomic identification. This shows that palynological characters are helpful in identification of Berberis genus at the species level.

Dual-use research poses a significant challenge for scientists in the biomedical field and for global health security in general. As the scientific knowledge and materials required for the development of biological agents become progressively more accessible and inexpensive, there is an increased need to understand and improve the governance of scientific research. Prevention of the misuse of facilities, equipment, agents, and scientific knowledge requires high levels of awareness of the concept of dual-use research, starting with early-career scientists and graduate students. In this study, the attitudes and level of awareness of postgraduate students in Pakistan toward the issues surrounding dual-use research were assessed through a survey containing both quantitative and qualitative questions in 32 universities in 4 provinces, federal area, and Azad Jammu and Kashmir regions of Pakistan; 933 students responded. Most (58.2%) had never heard of dual-use research of concern (DURC), while 18.5% had heard the term but were unsure of its meaning. Irrespective of prior knowledge, a higher percentage of students (68.6%) felt an obligation to report research misuse. Considering the need for DURC training, 94.1% of the respondents agreed that the principal investigator should take the responsibility to train students on DURC at the start of a research project. When experimental results having dual-use potential, 69.1% indicated they would publish with limited protocol, with 43.5% indicating they would publish the limited protocol only if there was a way for scientists to access their data. The survey results revealed limited DURC awareness among researchers across Pakistan. However, the respondents, although not formally educated about DURC, were quite aware of its impact. The information gained in this survey will be valuable in addressing country-specific awareness and training needs.

Artemisinins, as a class of bioactive molecules, are mainly derived from the extracts of Artemisia annua L. and are the mainstay for malaria treatment, including severe malaria, uncomplicated malaria and multi-drug resistant malaria. They are well-known for their good tolerability, safety and rapid onset of action. Their efficacy is not only limited to malaria but also extends to a variety of human diseases such as cancer, tuberculosis, viral diseases (e.g. Human cytomegalovirus), immune diseases and parasitic infections like schistosomiasis. Being a cheap and safe drug class, which saves millions of lives at risk from malaria around the globe, can also have significant potential in oncology as they have shown anti-cancer properties in both cell lines and animal models. Active derivatives (e.g. artesunate, artemether and arteether etc.) have also been synthesized which can be used for oral, rectal, intramuscular and intravenous administration. A comprehensive update on the non-malarial use of artemisinins and/or their derivatives and artemisinin-based drug development beyond anti-malarial is discussed in this review. With the collaborative efforts in the clinical pharmacology of artemisinins and novel synthesis of artemisinin analogues, it is likely that artemisinin-based drugs will become an important armamentarium impeding a number of diseases beyond malaria.

Additional file 1: Figure S1 Necrosis was observed in leaves infiltrated with Agrobacterium cells harboring pEAQ-HT-DEST1-eGFP construct at 24 hours post injection. Figure S2 Heatmap of the expression levels of A. annua polyubiquitin genes in different organs/tissues. Figure S3 Heatmap of the expression levels of A. annua LTP2, LTP1 and HD8, as well as four structural artemisinin biosynthesis genes in different organs/tissues. Table S1 Primers used in this article.

Aim of the current study was to investigate the effect of exogenously inoculated root endophytic fungus, Piriformospora indica, on molecular, biochemical, morphological and physiological parameters of Artemisia annua L. treated with different concentrations (0, 50, 100 and 150 μmol/L) of arsenic (As) stress. As was significantly accumulated in the roots than shoots of P. indica-inoculated plants. As accumulation and immobilization in the roots is directly associated with the successful fungal colonization that restricts most of As as compared to the aerial parts. A total of 4.1, 11.2 and 25.6 mg/kg dry weight of As was accumulated in the roots of inoculated plants supplemented with 50, 100 and 150 μmol/L of As, respectively as shown by atomic absorption spectroscopy. P. indica showed significant tolerance in vitro to As toxicity even at high concentration. Furthermore, flavonoids, artemisinin and overall biomass were significantly increased in inoculated-stressed plants. Superoxide dismutase and peroxidase activities were increased 1.6 and 1.2 fold, respectively under 150 μmol/L stress in P. indica-colonized plants. Similar trend was followed by ascorbate peroxidase, catalase and glutathione reductase. Like that, phenolic acid and phenolic compounds showed a significant increase in colonized plants as compared to their respective control/un-colonize stressed plants. The real-time PCR revealed that transcriptional levels of artemisinin biosynthesis genes, isoprenoids, terpenes, flavonoids biosynthetic pathway genes and signal molecules were prominently enhanced in inoculated stressed plants than un-inoculated stressed plants., Highlights • The level of artemisinin and flavonoids was increased by P. indica under arsenic stress condition. • P. indica accumulated and restricted arsenic in the roots. • P. indica showed higher tolerance to arsenic in vitro. • Antioxidant defense system and enzymatic activities were enhanced by P. indica.

Significance: Ensemble learning is a robust and powerful approach to solve a variety of classification problems. Its usage has increased dramatically in recent years but not seen extensive application in EEG based Brain computer interface (BCI) problems. There is a wide range of classifiers which may not perform well, when used separately for classification problem but outperforms state-of-art algorithm when used as an ensemble, i.e., Long-short Term Memory (LSTM) is considered as best learning algorithms when time is embedded in input but not shown outstanding performance when used individually for EEG classification. On the contrary, it provided real good results when used as an ensemble. Aim: Aim of this study is how EEG signals can be classified using Ensembles methods; its importance and usage are described with experimental results. Approach: The approach that is being used is, combining different classifiers, i.e. Support vector machines, Decision Trees, Random Forest, Long Short Term Memory (LSTM), Logistic Regression (LR) and see which classifiers work best with which ensemble technique for EEG classification’s problem. Datasets: Datasets are taken from well-known data resources, Kaggle, EEG data set of confused students. The second dataset is taken from GitHub having EEG signals with timestamps according to events, i.e., sound, light, etc. According to our results, the LSTM- ensemble outperformed all other algorithms in the case where time is embedded in data.

Classification of Motor Imagery (MI) Electroencephalography (EEG) signals has always been an important aspect of Brain Computer Interface (BCI) systems. Event Related Desynchronization (ERD)/ Event Related Synchronization (ERS) plays a significant role in finding discriminant features of MI EEG signals. ERD/ERS is one type and Evoked Potential (EP) is another type of brain response. This study focuses upon the classification of MI EEG signals by Removing Evoked Potential (REP) from non-discriminant MI EEG data in filter band selection, called REP. This optimization is done to enhance the classification performance. A comprehensive comparison of several pipelines is presented by using famous feature extraction methods, namely Common Spatial Pattern (CSP), XDawn. The effectiveness of REP is demonstrated on the PhysioNet dataset which is an online data resource. Comparison is done between the performance of pipelines including proposed one (Common Spatial Pattern (CSP) and Gaussian Process Classifier (GPC)) as well as before and after applying REP. It is observed that the REP approach has improved the classification accuracy of all the subjects used as well as all the pipelines, including state of the art algorithms, up to 20%.

Machine learning (ML) algorithms are being adopted rapidly for a range of applications in the finance industry. In this paper, we used a structured dataset of Santander bank, which is published on a data science and machine learning competition site (kaggle.com) to predict whether a customer would make a transaction or not? The dataset consists of two classes, and it is imbalanced. To handle imbalance as well as to achieve the goal of prediction with the least log loss, we used a variety of methods and algorithms. The provided dataset is partitioned into two sets of 200,000 entries each for training and testing. 50% of data is kept hidden on their server for evaluation of the submission. A detailed exploratory data analysis (EDA) of datasets is performed to check the distributions of values. Correlation between features and importance of characteristics is calculated. To calculate the feature importance, random forest and decision trees are used. Furthermore, principal component analysis and linear discriminant analysis are used for dimensionality reduction. We have used 9 different algorithms including logistic regression (LR), Random forests (RF), Decision tree (DT), Multilayer perceptron (MLP), Gradient boosting method (GBM), Category boost (CatBoost), Extreme gradient boosting (XGBoost), Adaptive boosting (Adaboost) and Light gradient boosting (LigtGBM) method on the dataset. We proposed LighGBM as a regression problem on the dataset and it outperforms the state-of-the-art algorithms with 85% accuracy. Later, we have used fine-tune hyperparameters for our dataset and implemented them in combination with the LighGBM. This tuning improves performance, and we have achieved 89% accuracy.

Artemisinin is an effective antimalarial sesquiterpene lactone synthesized in Artemisia annua. Various transcription factors have been previously reported that can influence the biosynthesis of artemisinin; however, the effect of YABBY family transcription factors on artemisinin biosynthesis was unknown. In the present study, we cloned and characterized AaYABBY5: a homolog of MsYABBY5 in Mentha spicata which is involved in modulating the monoterpenes, as a positive regulator of artemisinin biosynthesis in A. annua. AaYABBY5 was found localized to the nucleus, and its expression was found to be induced by exogenous methyl jasmonic acid (MeJA) treatment. In the dual-luciferase reporter assay, it was found that AaYABBY5 significantly increased the activities of promoters of amorpha-4,11-diene synthase (ADS), cytochrome P450 monooxygenase (CYP71AV1), double-bond reductase 2 (DBR2), and aldehyde dehydrogenase 1 (ALDH1) genes. Yeast one hybrid assay showed that AaYABBY5 directly bonds to the promoters of CYP71AV1 and DBR2 genes. Quantitative real-time polymerase chain reaction (qPCR) of AaYABBY5 overexpression and AaYABBY5 antisense plants revealed a significant increase in the expression of ADS, CYP71AV1, DBR2, and ALDH1 in AaYABBY5 overexpression plants and a significant decrease in the expression of these genes in AaYABBY5 antisense A. annua, respectively. Furthermore, the results of high-performance liquid chromatography (HPLC) showed that the artemisinin and its precursor dihydroartemisinic acid were significantly increased in the AaYABBY5 overexpression plants while AaYABBY5 downregulation resulted in a significant decrease in the concentration of artemisinin. Taken together, these results explicitly represent that AaYABBY5 is a positive regulator of artemisinin biosynthesis in A. annua.

Taxonomy of the genus Berberis is quite complex, due to overlapping morphological characters, making it very difficult to differentiate the species within the genus. In order to resolve this taxonomic complexity, the foliar anatomy of 10 Berberis L. species was carried out, for the first time from Pakistan, using light microscopy (LM). Significant variation in terms of epidermal cells shape, size, cell wall pattern, and stomata type was observed. B. baluchistanica has the largest epidermal cells, Adaxial: length = 45-(53.9 ± 3.6)-62.5 μm; and width = 22.5-(26.3 ± 1.3)-30 μm; Abaxial: length = 37.5-(43.25 ± 2.5)-50 μm; and width = 20-(22.6 ± 0.8)-25. The highest number of stomata was observed in B. glaucocarpa as 62 on the abaxial surface while the lowest number of stomata was recorded in B. baluchistanica as 8 on the adaxial surface. Of 10 investigated species, 6 possess anomocytic type stomata, while 2 species that is, B. aitchisonii and B. parkeriana have both anomocytic and anisocytic stomata while B. baluchistanica and B. calliobotrys have only paracytic type stomata. The highest number of cells per unit area was present on the adaxial surface of B. calliobotrys ranging from 245-(252.4)-260 followed by B. parkeriana with 209-(227.8)-250 on the abaxial surface. Stomatal index (SI) also varied considerably and was the lowest (2.6) percentage in B. baluchistanica and highest (31.9) percentage in B. kunawurensis. A taxonomic key based on micro-morphological characters is provided for species identification.

Google play store contains a large repository of apps for android users. Play store has two billion active users that have two million apps to download and use. App developers are competing to get a higher success rate and increase user satisfaction but little information is known to developers for succeeding in the android market. This paper presents a comprehensive analytical study on Google play store apps ratings, installs and reviews. This study focuses on the evaluation of the parameters required for the success of an app in different categories. For this purpose data of 10k apps and its reviews are analyzed using exploratory data analysis. This study focuses on finding a correlation between higher ratings, no of installs, reviews with app info like its category, size, and price. We are also going to analyze user reviews to get useful insights. The evaluation shows that personalization, productivity and games categories are performing very well in the android market both in terms of ratings and installs. Most high rated apps are sized below 40MB and priced below 30$, except game apps that are performing well even if they are bulky. Common customer complaints are functional errors and issues like infrequent updates, excessive ads, limited functionality and high purchase price.

Objective: The research was aimed at the measurement of the health warning impact reflected on the packs of cigarette on smokers in their act of smoking. Methods: Our research was cross-sectional and it was carried out in Lahore from February to June, 2016, we focused on the male smokers and distributed a self-administrated questionnaire to all the smokers selected through continence non-probability method of sampling without accounting the educational aspect and data was analyzed through SPSS-22. Results: We selected a total of 1500 smoker, warning was observed by 1330 smokers (88.7%); 730 smokers (54.8%) found the picture significant; 630 smokers (47.3%) made an effort to reduce smoking and 430 smokers (32.4%) made a real effort to quit smoking because of the picture and warning impact. In the group of smokers who tried to quit (430), 300 smokers (69.7%) were influenced by the picture. Conclusion: There is no significant and determinant impact of the warning and picture printed on the cigarette packs being sold in Pakistan in quitting and reducing of smoking. Keywords: Cross-Sectional Research, Pictorial, Textual Health Warnings, Smokers, Lahore, Privileged and Under Privileged Societies.

Delivering information through cloud computing become a modern computation. For this purpose, electronic device is required to access with an active web server. For delivering different resources, the cloud supplier provides computing power for the cloud users to organize their multiple type of application at any time on different platforms. In cloud computing, the main drawback is relevant to the best use of resources as well as resource provisioning. In cloud computing there is a lack of desired resources that is why the cloud resource provision becomes a daring work. To maintain the quality of services, the provisioning of reasonable resources is need of workloads. The main problem is to find the appropriate workload that depends on the cloud user that is related to resource pair application requirements. This paper reveals the cloud resource provisioning and identification in general and in specific, respectively. In this paper, a methodical analysis of resource provisioning in cloud computing is presented, in which resource provisioning, different types of resource provisioning mechanisms and their comparisons, and benefits are described.

In Healthcare big data, data is originated from various heterogeneous sources. Numerous novel base particular healthcare applications offered to handling source of data from electronic health record (EHR) to medical images. Imaging, Electronic Health Report, technology in light of sensor and numerous different procedures created an immense measure of Healthcare data. Cloud computing development was an excellent paradigm to substantiate big data which incited find of imperceptible examples. Cloud computing is a developing new registering design intended to answer different contending administrations on the Web. Fog Computing is a design style in which arrange segments amongst devices and the cloud execute application-particular rationale. We in this paper investigate, characterize, and talk about various application of cloud and fog computing. We talk about the impact of cloud computing and fog computing on healthcare big data. Cloud base framework for Homediagnosis Service, Fog computing architecture and the justification of moving from cloud to Fog presented comprehensively in this paper.

Cervical carcinoma is one of the major consequences of human papillomavirus (HPV) infections. Although HPV infections of cervix do not always progress to cancer, 90% cases of cervical cancer have been found associated with high risk HPV (hrHPV) infection. Usually, HPV infection is asymptomatic; however, this asymptomatic infection can cause abnormal changes in cervix ultimately leading to cancer development. These changes can be detected by the application of screening tests at regular time intervals. For this purpose, morphological, cytological, and DNA based techniques are available. Nevertheless, abnormal screening tests have only the predictive value for precancerous lesions and thus require further evaluation which is usually done by using diagnostic techniques. So far, colposcopy and histological examination alone were considered as the gold standards for cervical cancer diagnosis. Currently, some tests based on expression level of host cell biomarkers are also being used along with histology for diagnostic purpose. Albeit, these tests have significant specificity and sensitivity values but they are unable to suggest a particular viral genotype involved in infection. Diagnostic methods such as PCR, HPV genotyping assays, microarray, and mRNA based assays are useful to predict the genotypes as well as the quantity of viral load in a host cell. Similarly, these diagnostic procedures have high specificity and sensitivity ranges. However, only few of them are practiced commonly, as approval of these tests as routine diagnostic tests requires clinical validation and cost effectiveness.