Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient File Hierarchy Attribute Based Encryption Scheme in Cloud Computing

: Cloud computing enables the users to remotely store their data in a server and provide services on-demand. Cloud storage is the best way to handle our information securely. Data security and privacy are the critical issues. There are many encryption technologies used to share data securely. One of the best ways is CP-ABE is to solve challenging problem of secure data sharing scheme in cloud computing. Only authorized users are able to encrypt and decrypt data. Each user has the set of attributes. The layered access structure are integrated into single access structure . The hierarchical files are encrypted with integrated access structure. Ciphertext time cost of encryption is saved. Final Implementation gives that linearly increasing the encryption and decryption time as number of attributes are increased. In this paper an efficient file hierarchy attribute based encryption scheme is proposed
Crystalline retinopathy and optical coherence tomography angiography: new insights in pathogenesis

Optical coherence tomography angiography (OCTA) is a fast, non-invasive imaging modality that provides detailed information on retinal and choroidal vascular flow and macular structure. OCTA offers an accurate three-dimensional view of the individual retinal vascular plexuses and the choriocapillaris which facilitates the detection of the microvascular abnormalities in a variety of macular diseases. The perfusion indices (vessel density and flow index) are valuable parameters evaluated by OCTA that allow a quantitative interpretation of changes in the retinal vasculature that can reflect the severity of disease. Crystalline retinopathy encompasses a group of conditions whose distinctive feature is the presence of retinal crystals often located in the posterior pole. Select crystalline retinopathies also demonstrate retinal vascular abnormalities as well. Considering that the OCTA is a novel imaging modality and crystalline retinopathies are relatively rare conditions, there are currently few reports of OCTA findings associated with crystalline retinopathy. The advent of OCTA allows visualization of vascular and structural changes in crystalline retinopathies that are unique and cannot be appreciated on other imaging modalities, including fluorescein angiography (FA). This article reviews novel OCTA findings which provide new insights in the pathogenesis of crystalline retinopathies, including Bietti crystalline retinopathy, talc retinopathy, macular telangiectasia type 2, tamoxifen retinopathy, and Sjögren-Larsson Syndrome maculopathy.
Domain specific languages and their type systems

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Desarrollo morfológico y conductual de pollos del aguilucho chico Buteo albigula (Aves: Accipitridae) en el noroeste de la Patagonia argentina

El desarrollo morfologico y conductual del aguilucho chico (Buteo albigula) en el nido fue estudiado en cercanias de San Carlos de Bariloche, al noroeste de la Patagonia argentina. El estudio se baso en el seguimiento de dos pollos producidos en diferentes nidos en la temporada reproductiva 2001-2002, y se lo complemento con datos tomados ad libitum en otros nidos, esa misma y anteriores temporadas. Los pollos permanecieron en el nido por aproximadamente seis semanas. Durante su desarrollo morfologico se evidenciaron diversos cambios; notablemente, la aparicion secuencial de dos plumones natales, que solo fue observada entre especies de Buteo neotropicales, para B. brachyurus. La conducta de los pollos se encuadro en los patrones comunes para otras especies de Buteo de tamano corporal similar. Ademas, se caracterizo, por primera vez para la Argentina, un juvenil (muerto accidentalmente), y se tomaron medidas y peso (por primera vez para B. albigula) de dos adultos anillados cerca de sus nidos. El juvenil fue relativamente similar al descrito en Chile. Los adultos, que serian los primeros aguiluchos chicos en ser anillados, se suman a los escasos ejemplares medidos en el area reproductiva conocida de la especie.
K-Nearest Neighbor Classification Mechanism of Secure Encrypted Relational Data

: Information Mining has wide applications in numerous ranges, for example, managing an account, pharmaceutical, investigative exploration and among government offices. Order is one of the ordinarily utilized undertakings as a part of information mining applications. For as long as decade, because of the ascent of different protection issues, numerous hypothetical and commonsense answers for the grouping issue have been proposed under various security models. Be that as it may, with the late notoriety of distributed computing, clients now have the chance to outsource their information, in encoded structure, and also the information mining errands to the cloud. Since the information on the cloud is in encoded structure, existing protection safeguarding grouping systems are not pertinent. In this paper, we concentrate on tackling the characterization issue over scrambled information. Specifically, we propose a protected k-NN classifier over encoded information in the cloud. The proposed k-NN convention secures the classification of the information, client's information question, and information access designs. To the best of our insight, our work is the first to build up a safe k-NN classifier over encoded information under the standard semi-legit model. Likewise, we experimentally break down the productivity of our answer through different analyses.
Automated Classification of Banana Leaf Diseases using an Optimized Capsule Network Model

Plant disease detection and classification have undergone successful researches using Convolutional Neural Network (CNN); however, due to the intrinsic inability of max pooling layer in CNN, it fails to capture the pose, view and orientation of images. It also requires large training data and fails to learn the spatial relationship of the features in an object. Thus, Capsule Network (CapsNet) is a novel deep learning model proposed to overcome the shortcomings of CNN. We developed an optimized Capsule Network model for classification problem using banana leaf diseases as a case study. The two dataset classes include Bacterial Wilt and Black Sigatoka, with healthy leaves. The developed model adequately classified the banana bacterial wilt, black sigatoka and healthy leaves with a test accuracy of 95%. Its outper-formed three variants of CNN architectures implemented (a trained CNN model from scratch, LeNet5 and ResNet50) with respect to rotation invariance.
Workaholism in Brazil: Measurement and individual differences Adicción al trabajo en Brasil: medición y diferencias individuales

The aim of this research is the measurement and assessment of individual differences of workaholism in Brazil, an important issue which affects the competitiveness of companies. The WART 15-PBV was applied to a sample of 153 managers from companies located in Brazil, 82 (53.6%) women and 71 (46.4%) men. Ages ranged from 20 to 69 years with an average value of 41 (SD=9.06). We analyzed, on one hand, the factor structure of the questionnaire, its internal consistency and convergent (with the Dutch Work Addiction Scale DUWAS) and criterion validity (with General Health Questionnaire – GHQ). On the other hand, we analyzed individual gender differences on workaholism. WART15-PBV has good psychometric properties, and evidence for convergent and criterion validity. Females and males differed on Impaired Communication / Self-Absorption dimension. This dimension has a direct effect only on men’s health perception, while Compulsive tendencies dimension has a direct effect for both genders. The findings suggest the WART15-PBV is a valid measure of workaholism that would contribute to the workers’ health and their professional and personal life, in order to encourage adequate conditions in the workplace taking into account workers’ individual differences.
A Dynamic Embedding Model of the Media Landscape

Information about world events is disseminated through a wide variety of news channels, each with specific considerations in the choice of their reporting. Although the multiplicity of these outlets should ensure a variety of viewpoints, recent reports suggest that the rising concentration of media ownership may void this assumption. This observation motivates the study of the impact of ownership on the global media landscape and its influence on the coverage the actual viewer receives. To this end, the selection of reported events has been shown to be informative about the high-level structure of the news ecosystem. However, existing methods only provide a static view into an inherently dynamic system, providing underperforming statistical models and hindering our understanding of the media landscape as a whole. In this work, we present a dynamic embedding method that learns to capture the decision process of individual news sources in their selection of reported events while also enabling the systematic detection of large-scale transformations in the media landscape over prolonged periods of time. In an experiment covering over 580M real-world event mentions, we show our approach to outperform static embedding methods in predictive terms. We demonstrate the potential of the method for news monitoring applications and investigative journalism by shedding light on important changes in programming induced by mergers and acquisitions, policy changes, or network-wide content diffusion. These findings offer evidence of strong content convergence trends inside large broadcasting groups, influencing the news ecosystem in a time of increasing media ownership concentration.
Feature Based No-Reference Perceptual Depth Assessment Model for Mobile 3D Video Applications

Depth perception is one of the most important characteristics which separate 3D videos from traditional 2D videos. In this work, a feature based no-reference perceptual depth assessment model has been proposed for symmetric and asymmetric coded stereoscopic videos. This model extracts disparity and temporal features to evaluate the perceived depth of mobile 3D videos. The disparity feature is estimated by using block based structural similarity index between the corresponding blocks of left and right view and for temporal feature the jerkiness is estimated between the consecutive frames for both left and right view. The estimated features are then combined to give a single predicted score. The performance of the model is verified by subjective experiment data. The result indicates that the prediction performance of the proposed model is satisfactory.
In Vitro Mass Propagation of Mimosa pudica L., Using Shoot Tip and Nodal Explants

An efficient protocol was established for in vitro mass propagation of a valuable medicinal shrubby plant, Mimosa pudica Linn. , from shoot tip and nodal explants. Optimum in vitro shoot induction was observed from nodal explants on MS basal medium supplemented with 1.5 mg/l BAP + 0.5 mg/l NAA, in which 88.2% of the explants produced 9 shoots per culture within 3-4 weeks. Repeated subcultures in the same medium, resulted rapid shoot multiplication with 20.4 ± 1.20 shoots per culture within 12 weeks. The healthy in vitro raised shoots rooted on half strength MS medium with 0.5 mg/l IBA. For acclimatization and transplantation, the plantlets in the rooting culture tubes were kept in normal room temperature for 7 days before transplanting in pots where plantlets were reared for three weeks. The survival rate of regenerated plantlets was 80%. Key words: Mimosa pudica ; Medicinal plant; Shoot proliferation; In vitro mass propagation; Acclimatization DOI: 10.3329/bjsir.v45i2. 5704 Bangladesh J. Sci. Ind. Res. 45(2), 95-100, 2010
Predicting 30-Day Hospital Readmission for Diabetes Patients using Multilayer Perceptron

Hospital readmission is considered a key metric in order to assess health center performances. Indeed, readmissions involve different consequences such as the patient’s health condition, hospital operational efficiency but also cost burden from a wider perspective. Prediction of 30-day readmission for diabetes patients is therefore of prime importance. The existing models are characterized by their limited prediction power, generalizability and pre-processing. For instance, the benchmarked LACE (Length of stay, Acuity of admission, Charlson comorbidity index and Emergency visits) index traded prediction performance against ease of use for the end user. As such, this study propose a comprehensive pre-processing framework in order to improve the model’s performance while exploring and selecting a prominent feature for 30-day unplanned readmission among diabetes patients. In order to deal with readmission prediction, this study will also propose a Multilayer Perceptron (MLP) model on data collected from 130 US hospitals. More specifically, the pre-processing technique includes comprehensive data cleaning, data reduction, and transformation. Random Forest algorithm for feature selection and SMOTE algorithm for data balancing are some example of methods used in the proposed pre-processing framework. The proposed combination of data engineering and MLP abilities was found to outperform existing research when implemented and tested on health center data. The performance of the designed model was found, in this regard, particularly balanced across different metrics of interest with accuracy and Area under the Curve (AUC) of 95% and close to the optimal recall of 99%.
RETROSPECTIVE STUDY OF HISTOLOGICAL ANALYSIS AND ITS CORRELATION WITH CLINICAL PRESENTATION AND OUTCOME OF IGA NEPHROPATHY FROM A TERTIARY CENTRE OF GUWAHATI ASSAM.

Background: IgA nephropathy (IgAN) is one of the most common glomerular diseases with varied presentations. We aimed to study clinical presentation and outcome of IgAN and correlate with histopathology at the time of presentation. Methods: This is a retrospective study in which we analyzed kidney biopsy data, clinical manifestations and outcome of 137 patients with a diagnosis of primary IgAN from 2012 to 2016. Kidney biopsies were reviewed as per Oxford classification assessing mesangial hypercellularity, endocapillary hypercellularity, segmental sclerosis/adhesion, tubular atrophy/interstitial fibrosis. Correlation analysis was done for biopsy findings and clinical presentation/outcome. P score less than 0.05 was taken as significant. Results: Mean age for presentation was 27.35 years with 83 males and 54 females. Asymptomatic urinary abnormality was the most common clinical presentation (28.5%). Mean serum creatinine was 2.23 ± 2.06mg/dl with mean proteinuria of 1.49 ± 1.43g/day. Mesangial hypercellularity (M) and Endocapillary hypercellularity (E) lesions were significantly associated with proteinuria at the time of biopsy (p=0.02& 0.04 respectively). Segmental glomerulosclerosis (S) and tubular atrophy (T) were significantly associated with eGFR and mean arterial pressure at the time of biopsy. Mean time of follow up was 1.6 years. M1, E0, S1, T0 were the most common lesions. M, S and T lesions in biopsy were significantly associated with decrease in GFR at the end of follow up. Conclusion: In our study, most common presentation of IgAN was AUA with rarity of macroscopic hematuria. M, S and T lesions were associated with decreased GFR on follow up. Key words: IgA Nephropathy, Nephrotic Syndrome, Oxford MEST classification
An Improved SimBet Routing Algorithm for Human Mobility Based DTN

Delay Tolerant Network (DTN) is useful for providing communication, where internet connection does not exist or in an Environment where long delay path and frequent partitions in transmission is present. A critical challenge for DTN is to determine the routing path through the network without ever having an end to end path, or finding which routers will be connected at any given instant of time. To find a routing path mobility of user needs attention, here we use human mobility model: Self Similar Least Action Walk (SLAW). In this paper, we extract pause time from past history of human mobility and utilize for routing in DTN. This concept will improve routing performance. In this paper, we propose the Multi-copy SimBet Routing with pause time factor. Finally, we conclude that the proposed routing method gives a message delivery ratio nearly equal to the Epidemic Routing, also reduce latency and overhead of the network.
NUTRITIVE VALUE OF FEW WILD MUSHROOMS FROM THE WESTERN GHATS OF SHIVAMOGGA DISTRICT, KARNATAKA, INDIA

Aim- The nutritional values of 6 wild edible mushroom species were analyzed. Young and matured sporocarps of 6 common wild edible mushrooms were collected from different locations in the Western Ghats of Shivamogga district. Methodology- These mushrooms were analyzed for proximate analysis of nutritional values. Freshly encountered whole mushrooms fruiting bodies were shade dried and finely powder and extracted with 250 ml of 95percent solvents like petroleum ether, chloroform and methanol using Soxhlet apparatus. Results- The macro nutrient profiles in general revealed that the wild mushrooms contains the moisture in range of (83.6-90.43percent), dry matter (4.76-11.46percent), protein (25.71-36.51percent), ash (4.45-10.29percent), lipid (1.4-2.79percent), fiber (3.77-11.44percent) and carbohydrate (37.38-48.63percent). For each specimen, local and vernacular names were noted. Conclusion- Hence, these nutrient contents revealed that mushrooms were low energy, healthy food and may also be used as a protein supplementary diet. Nutritionally they are a valuable source of health food, which is low in calories, and rich in carbohydrates, essential amino acids, fibre, important vitamins and minerals. Key words: Nutritive value, Vernacular names, Wild macro fungi, Medicinal mushrooms, Sporophores, Western Ghats.
A compact wide-slot UWB antenna with reconfigurable and sharp dual-band notches for underlay cognitive radio applications

This paper presents a compact wide-slot ultrawide-band (UWB) antenna with reconfigurable and sharp dual-band notches compatible with the underlay cognitive radio systems. The antenna slot and tuning stub are reshaped in such a way that the proposed antenna operating bandwidth extends along the frequency band specified for UWB applications (3.1-10.6 GHz). In spite of their sharpness, the generated band notches perfectly cancel the interference with the entire 5 GHz wireless local area network (WLAN) frequency band (5.15-5.725 GHz) and that of the military X-band satellite communications downlink (7.25-7.745 GHz). The WLAN band notch is presented by attaching a pair of quarter wavelength parasitic elements to the antenna ground plane, while the other band notch is produced by engraving another pair of half wavelength parasitic elements within the antenna wide slot along the circumference of the antenna tuning stub. The reconfiguration of the band notches is achieved by inserting a pair of PIN diodes for each pair of parasitic elements. The simulated and measured results accentuate the UWB coverage of the proposed antenna, and also verify the reconfigurability and the sharpness of the antenna band notches. Moreover, the antenna has a noticeably stable radiation pattern over the entire band of operation with omnidirectional pattern convenient for portable UWB gadgets.
BUILDING SYNTHETIC SOCIAL NETWORKS USING ASSOCIATION RULES AND CLUSTERING METHODS: CASE STUDY ON GLOBAL TERRORISM DATABASE

: The authors of the paper present an approach for datamining methods combination (method for association rules extraction and clustering method are combined) which is used for synthetic social networks construction which afterwards represents potentially interesting relations in analyzed data. Described approach is feasible for general data, principles of described approach, examples and experiments are illustrated on a part of unique database, which contain data about terroristic attack committed on all over the World (Global Terrorism Database). Thus this paper also extend framework of papers focused on analysis of this unique database.
Contrast-ultrasound dispersion imaging for prostate cancer localization

Prostate cancer is the most prevalent form of cancer in western men. An accurate early localization of prostate cancer, permitting efficient use of modern focal therapies, is currently hampered by a lack of imaging methods. Several methods have aimed at detecting microvascular changes associated with prostate cancer with limited success by quantitative imaging of blood perfusion. Differently, we propose contrast-ultrasound diffusion imaging, based on the hypothesis that the complexity of microvascular changes is better reflected by diffusion than by perfusion characteristics. Quantification of local, intravascular diffusion is performed after transrectal ultrasound imaging of an intravenously injected ultrasound contrast agent bolus. Indicator dilution curves are measured with the ultrasound scanner resolution and fitted by a modified local density random walk model, which, being a solution of the convective diffusion equation, enables the estimation of a local, diffusion-related parameter. Diffusion parametric images obtained from five datasets of four patients were compared with histology data on a pixel basis. The resulting receiver operating characteristic (curve area = 0.91) was superior to that of any perfusion-related parameter proposed in the literature. Contrast-ultrasound diffusion imaging seems therefore to be a promising method for prostate cancer localization, encouraging further research to assess the clinical reliability. In this journal article, and therefore also in this Chapter, the method is referred to as contrast-ultrasound diffusion imaging. After publication of this article, we opted to use dispersion instead of diffusion, because dispersion is a more accurate term in the present context. In addition, by adoption of the term dispersion, confusion with diffusion-weighted MRI is avoided.
EMG Wrist-hand Motion Recognition System for Real-time Embedded Platform

Electromyography (EMG) signal analysis is a popular method for controlling prosthetic and gesture control equipment. For portable systems, such as prosthetic limbs, real-time low-power operation on embedded processors is critical, but to date there has been no record of how existing EMG analysis approaches support such deployments. This paper presents a novel approach to time-domain classification of multichannel EMG signals harnessed from randomly-placed sensors according to the wrist-hand movements which caused their occurrence. It shows how, by employing a very small set of time-domain features, Kernel Fisher discriminant feature projection and Radial Bias Function neural network classifiers, nine wrist-hand movements can be detected with accuracy exceeding 99% - surpassing the state-of-the-art on record. It also shows how, when deployed on ARM Cortex-A53, the processing time is not only sufficient to enable real-time processing but is also a factor 50 shorter than the leading time-frequency techniques on record.