Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying Cipher Technique Using Key-Aggregate Searchable Method For Multi Data Sharing Via Cloud Storage

: In cloud storage data sharing is the most valuable activity to perform necessary actions. In this article, we show how to share data with others in cloud database in an efficient, reliable, secure and scalable manner. We explain new public-key cryptography for efficient allocation of decryption rights for any set of cipher texts is possible that generate static-size encryption. The innovation is that one can collectively gather any set of secret keys makes them as compact as a single key, but surrounding the power of all the keys being collective at surrounding. In other aspects, the secret key user can release a constant-size collective key for selection purpose of cipher text set in cloud database, but the other encrypted files outside the set remain confidential. This compact collective key can be stored in a smart card or efficiently sent to others with very limited secure database. In the standard model, we offer formal security investigation of our schemes. We also evaluate other application of our schemes. In particular, our framework gives the first public-key patient-controlled encryption for scalable hierarchy, which was yet to be known.
The preparation of new functional materials and polymer composites containing carbon nanotubes (CNTs) is recently receiving an immense amount of attention due to their higher mechanical and thermal properties, and better electro-conductivity.[1-3] These properties of the CNTs/polymer nanocomposite d

The multi-walled carbon nanotube (MWNT)/ cellulose nanocomposites were prepared using monohydrated N-methylmorpholine-N-oxide (NMMO) as a solvent for dispersing the acid-treated MWNT (A-MWNT) as well as dissolving cellulose. The A-MWNTs were well dispersed in both monohydrated NMMO and the nanocomposite films. The nanocomposite films were prepared by a filmcasting method onto a glass plate. The casted films were immersed into distilled water to coagulate, and dried for a day in the sample holder. Tensile strain at break, Young’s modulus, and toughness of the nanocomposite films increased ~ 5, ~ 2 and ~12 times, respectively, as compared to those of the pure cellulose film by adding 0.8 wt% A-MWNT. Thermal degradation temperature and electrical conductivity of the nanocomposite film increased from 329 to 339 C and from 2.09  10 -5 to 3.68  10 -3 S/cm, respectively by adding 1 wt% A-MWNT. The transmittances were 86, 69 and 55 % at 550 nm for 0.4, 0.8 and 1 wt% nanocomposite films, respectively. Thus the A-MWNT/cellulose nanocomposites (which were prepared by a so-called “Lyocell” process) were a promising material in all properties studied in this paper and can be used for many applications, such as toughened cellulose fibers, transparent electrodes, etc.
Empowering Local Potentiality (Local Genius) as Sociocultural Capital to Develop Tourism

This study aimed at identifying local genius empowerment as socio-cultural capital to develop tourism in Nusa Penida, Bali province by using a cultural ethnographic study approach. The respondents in this study were determined through snowball sampling. The result showed that there were various forms and types of local potentiality which can be used as objects and supporting capacity for developing tourism in Nusa Penida District; local genius in the community has not been optimally empowered to develop tourism, and the local potentialities have not yet been socialized as interesting tourist objects. The result implies a need for a new approach in socializing to the supporting community for empowering local potentialities as socio-cultural capital to support tourism development in Nusa Penida; and a need for an academic text for the basis in formulating policies in developing a more dignified and sovereign tourism. Keywords—local potentiality; socio-cultural capital; tourism.
Molecular and Biochemical Profiling of Pentachlorophenol Utilizing Bacteria from Pulp and Paper Mill Effluent Irrigated Soil in Northern India

Pulp and paper mill is a source of major environmental pollutant’s generating industries which include pentachlorophenol a highly chlorinated aromatic compound. PCP degrading bacterial isolates obtained from pulp and paper mill effluent contaminated site were characterized biochemically and molecularly. Based on their morphological and biochemical characterization, 22 isolates were selected for their ability to grow at different concentrations of PCP. Out of 22 isolates, 8 isolates viz. LK 1, LK 4, LK 39, LK 81, LK 124, LK 141, LK 147 and LK 156 showed significantly higher growth at 100, 300, 500 and 700 ppm of PCP. Growth at 700 ppm reduced significantly due to decrease in pH of the medium to 6.1. These 22 isolates were classified into three major bacterial lineages, α,γ-Proteobacteria and Firmicutes. Maximum isolates belonged to Pseudomonas sp such P. aeruginosa, P. citronellolis, P. putida and P. plecoglossicida. PCP degradation by Ensifer adhaerens and Lysinibacillus fusiformis is reported for the first time in present study and these might represent new chlorophenol-degrading taxa. Lysinibacillus fusiformis (LK 156) could show maximum growth at 300 and 500 ppm of PCP.
Similarity Measure Selection for Categorical Data Clustering

Data clustering is a well-known task in data mining and it often relies on distances or, in some cases, similarity measures. The latter is indeed the case for real world datasets that comprise categorical attributes. Several similarity measures have been proposed in the literature, however, their choice depends on the context and the dataset at hand. In this paper, we address the following question: given a set of measures, which one is best suited for clustering a particular dataset? We propose an approach to automate this choice, and we present an empirical study based on categorical datasets, on which we evaluate our proposed approach.
Factors Influencing Operational Effectiveness in the Zambian Copper Mining Industry

The mining industry, in recognizing human resources as a vital production factor, simultaneously accepted the concept of knowledge sharing as a crucial factor in employees’ contribution to operational effectiveness. Whereas mining companies in developed nations responded positively to recent changes in metals market, the Zambian mining sector’s response to local workforce shortages was weighed down with inadequacy. This study was undertaken specifically to examine the effects of knowledge sharing behaviour, organizational, and individual factors using data obtained from a cross-sectional survey conducted at five operating mines. Data analysis by means of structural equation models revealed weak impacts of knowledge sharing behaviour and significant positive impacts of organizational and individual factors. The overall conclusion suggests that the mining industry consider de-emphasizing the use of extrinsic rewards in favour of intrinsic rewards, as workers’ mind-sets are inclined that way.
Edit summarization in Wikipedia based on supergram selection

Document summarization has been well studies in recent years, but the basis of the existing methods fails in the scenario of Wikipedia edit history, in which revisions have significant mutual overlaps. In this paper, we propose a method to automatically summarize contributed contents during a specified edit period of a Wikipedia article, into a group of maximal-length phrases, which we call supergrams. Two supergram selection algorithms, TF-IDF and Extended LDA ranking are developed to pick up representative supergrams. We conduct a preliminary objective evaluation on these methods' capabilities of summarizing on short text fragments against conventional document summarization methods
Network Intrusion Detection based on Feature set Selection using Back-Propagation Neural Network

: With dynamic increase of network application and electronic gadgets such as PCs, cell phones, and so on attacks and detection of intrusion became most challenging task in cybercrime detection zone. Decades ago, because of better network technology and more utility of the Internet, it became all digital in worldwide. Parallel to these enhancements, the endeavors of hackers for intruding the networks are also increased. And these attacks adversely affect the network badly. In this project for intrusion detection, an Artificial Neural Network (ANN) classification algorithm is implemented. The Network Layer-Knowledge Discovery Database data set is analyzed that contains of 41 features to study the viability of classification algorithm and intrusion attack detection is made by using Back-Propagation method to achieve more accuracy. Artificial neural network model gives the best number of features of 22 attributes need for detecting the intrusion and which is further categorized into more and less significant attributes. Hence, improves the accuracy and saving of resources is done.
An Integrated Dyspepsia Module for First-year Pharmacy Students

Objective. To design an integrated dyspepsia module for first year pharmacy students that combines clinical and professional practice with fundamental sciences in five different science subject areas. Methods. The approaches used in designing this module are described with emphasis on strategies adopted to integrate science and practice, and the new ways of working adopted by the design team. Students’ views and experiences of the module and its integration were explored using questionnaires. Results. A high proportion of students reported positive views and experiences of the module, the integration and its impact (as self-reported) on their learning and practice. The assessment of student performance indicated learning and attainment was at an appropriate level for a first-year module. Both the student grades and research results indicate a positive student learning experience. Conclusion. The dyspepsia module provides a flexible and effective template for the integration of science and practice in theme-based modules, with students reporting positively about the integration, including their perception of its contribution to improving their learning and understanding. New and more collaborative ways of working are required when designing integrated modules.
Automated classification of peripheral distal by-pass geometries reconstructed from medical data

Abnormal haemodynamic conditions are implicated in the development of anastomotic myointimal hyperplasia (MIH). However, these conditions are difficult to determine in vivo, prompting research using ex vivo idealised models. To relate the understanding gained in idealised geometries to anatomically correct conditions we have investigated a reproducible approach to classify in vivo distal graft anastomoses and their inter-patient variability. In vivo distal anastomotic geometries were acquired by magnetic resonance (MR) angiography from 13 patients who had undergone infrageniculate autologous venous by-pass surgery. On average, the images were acquired 2 weeks post-operatively. Five patients also underwent repeat examinations 2 to 7 weeks later. For each geometry, the surface of the arterial lumen is represented by the zero level set of an implicit function constructed from radial basis functions that minimise curvature. The three-dimensional binary image created from the interpolated surface is processed using a skeletonisation algorithm to obtain the centreline of each branch in the geometry. This allows for the measurement of the branching angles between straight line approximations of the centrelines of each vessel, averaging them over a characteristic length of each anastomosis. The main finding in the application of the proposed classification methodology to this set of patients is that the spectrum of anastomoses can be reduced to a small subset of cases characterised by two angles: the angle between the graft and the plane of the host artery and the angle between the graft and the proximal branch of the artery. r 2004 Elsevier Ltd. All rights reserved.
New Technique For Preventing SQL Injection Attack Based On Normal Use Model

: Online applications have turned into an essential piece of our day by day lives, yet in the meantime, security of digital data put away in the web databases has been a developing concern. SQL injection attacks have been an overwhelming and inescapable security risk on web applications in the course of the last one and half decades. The helplessness has been abused by attackers bringing about enormous information break episodes. Advanced and mechanized attack devices have made the circumstance disturbing than at any other time. In spite of broad research on relief of SQL injection attacks, the threat has persevered with almost a similar force. Over some time, SQL injection attack vectors have developed with new structures and highlights, which have made the issue considerably all the more difficult. This paper introduce a new Prevention mechanism of SQL injection attacks at the application level; then continue into propose solution for server level insurance which is particularly valuable on shared facilitating situations. Aside from exactness and execution, it additionally emphasize on simplicity of usage, platform freedom, and versatile learning in the studies.
Life Satisfaction Related to Intended and Unintended Pregnancies of Rural Women in Bangladesh

Life satisfaction is the most pivotal elements that arise in marital satisfaction of couples. The purpose of this study was to show the importance of mental health and life satisfaction of pregnant women during pregnancy. This study was conducted on two groups of subjects, women with intended pregnancy (n = 101) and women with unintended pregnancy (n = 100), a total of 201 patients who admitted to one of the hospitals of Community Clinic Project, Fatepur, Pirganj, Rangpur for medical examination and a period of maternity. Sampling was done in a purposive sampling manner. The method of the study was a cause and effect-comparative one. The used questionnaire was made by the researcher consisting of the demographic variables, satisfaction with life and Diner short form of sexual function. After obtaining consent, questionnaire was completed by the complementary method. Descriptive statistics, percentage, mean and standard deviation were used to analyze the data. To evaluate the research hypotheses, inferential statistics methods, t-test for both groups and Pearson's correlation coefficient were used. According to the results, a significant difference was seen in life satisfaction between women with intended pregnancy and those with unintended pregnancy (P <0.0001). While there was no significant difference in the overall score scale of sexual satisfaction between the two groups of pregnant women but significant difference was obtained concerning sexual desire and sexual satisfaction (P <0.0001). Sexual desire and satisfaction in women with intended pregnancy was reported to be higher than those in women with unintended pregnancy. Finally attention to the psychological needs of pregnant women during pregnancy especially in women with unintended pregnancy will help them to prevent connubial problems and make their life satisfactory.
Empirical Evidence of CAPM and Fama French 3 factor model at Cement Industry of DSE

The study discusses empirical evidence on the explanatory power for cement manufacturing industries of the Dhaka Stock Exchange in light of Capital Asset Pricing Model (CAPM) and the Fama French three-factor model. For calculating the market return, both DSEX and DS30 indexes have been used. The study revealed that the Fama French three-factor model has better explanatory power compared to the CAPM model in the Dhaka Stock Exchange. Moreover, the size risk premium has a significant influence in explaining the expected return for cement industries of the Dhaka Stock Exchange for both DSEX and DS30. On the other hand, the value risk premium has significant power in explaining the expected return for cement industries in the Dhaka Stock Exchange.
Index Based Graph Algorithm (IBGA) for Query Optimization in Graph Databases

Now a day’s collecting the huge amounts of complex information is very common. It is very difficult to represent, store and manipulate complex information, data can be change in time or change in their structure, it is very difficult to represent in a system to store and maintain. To overcome the problems of traditional databases for storing, manipulating and retrieving data we have to use graph structures. It can be used by many applications that manage graph data by implementing queries. In this paper we proposed Index Based Graph Alignment algorithm for GDB. The main characteristics of algorithm provide dynamic structure, highly interconnected data, and ability to efficiently access data relationships in database.
Saliva Sampling of Alcoholic Participants using Three Saliva Collection Methods

The potential of using saliva as a diagnostic fluid is well documented. The aim of this study was to assess the quality and quantity of saliva DNA of alcoholic and non-alcoholic participants using three saliva collection methods; DNA-SalTM (Oasis Diagnostics, USA), Oragene-DNA (DNA Genotek Inc, Ontario, Canada) and whole saliva collection method. Saliva DNA of non-alcoholic (n=30) and alcoholic participants (n=10) age between 25 and 35 years was assessed qualitatively and quantitatively using spectrophotometry. Saliva DNA quantity was the highest for all participants when using the DNA-Sal TM saliva collection kit (p<0.05). The use of a mechanical scraper provided only in the DNA-Sal TM kit may have contributed to the highest DNA yield for all participants. The quantity of saliva DNA when assessed using spectrophotometer was found to be significantly lower (p<0.05) for the alcoholic (16±3.57 ng/μL) than non-alcoholic participants (19.92±6.18 ng/ μL). To determine the integrity of the DNA samples, PCR amplification of the Alcohol Dehydrogenase gene, ADH1B was carried out and the PCR was found to be successful. For all participants, the DNA quality of the saliva collected using the three saliva collection methods was found to be in the acceptable range considered as pure DNA. The DNA quality and quantity of saliva collected from the three saliva collection methods were considered suitable for research purposes.
A first-principles study of Mg/Ni induced magnetic properties of Zn0.95−xMgxNi0.05O

Magnetic properties of Mg/Ni doped ZnO were investigated by the first-principles study. The generalized gradient approximation (GGA) in Perdew–Burke–Ernzerhov of the scheme as a form of density functional theory (DFT) utilizing the plane-wave pseudo-potential method was used. Calculations were performed for a constant Ni doping ratio as 5% and different concentrations of Mg varying from 1% to 5%. It was shown that Mg concentrations helped to tune band gap and mediate the ferromagnetic property. 1% Mg-doped structure had a halfmetallic ferromagnetic (HMF) state. Meanwhile, metallic behavior (MB) was observed for higher concentrations of Mg (> 1%) impurities. It was revealed that Mg-doped ZnNiO possesses ferromagnetic behavior solely for 1% Mg while other doping ratios were showing distinctive phases including antiferromagnetism (AFM). Besides, there is no evidence of a clear connection between the doping concentration of the Mg and the magnetic phase. Ni distant/near oxygen vacancies (Vo) enhanced the FM state; however, distant vacancies led to HMF state for all Mg concentrations. Zn-d, O-p, and Ni-d (dominates) control the spin-up/down channels by hybridization.
Investigating parasitic gaps in real-time: An eye-tracking study∗

This paper presents results from an eye-tracking experiment investigating how participants read adjunct and subject parasitic gap (PG) constructions. Results indicate that the processor is sensitive to potential PG positions; namely, longer reading times were observed at the verbal region where a potential PG could be licensed, compared to a verbal region where a canonical (“real”) gap could be licensed. Interestingly, this effect was found in both subject and adjunct PG constructions, which crucially differ in the ordering of the PG and its licensor, or real gap. A significant difference was found in reading times in the PG condition compared to the real gap condition at both verbal sites in the subject construction, but in the adjunct constructions, this difference was only found at the PG site, suggesting that a dependency between the gap sites was created in the subject but not in the adjunct construction type. Regressions out of the verbal region indicate that participants were more likely to regress out of a subject construction in both verb sites, suggesting that they are harder for participants to process. Further, while more regressions occurred out of the real gap condition compared to the PG condition, the ungrammatical condition elicited more regressions compared to the PG condition. These results suggest that while PG constructions are hard to process, ungrammatical constructions are harder. Further evidence for this effect was found in acceptability judgements, with participants rejecting ungrammatical constructions but rating PG constructions similarly to their real gap counterparts.
Unravelling the Dimensions of Integration in Integrated Assessment and Modelling Projects

Integrated Assessment Defined Integrated Assessment (IA) can be defined as the interdisciplinary process of integrating knowledge from various disciplines and stakeholder groups in order to evaluate a problem situation from a variety of perspectives and provide support for its solution. IA supports learning and decision processes and helps to identify desirable and possible options for addressing the problem. It therefore builds on two major methodological pillars: approaches to integrating knowledge about a problem domain, and understanding policy and decision making processes. IA has been developed to address issues of acid rain, climate change, land degradation, water and air quality management, forest and fisheries management and public health.
The impacts of a multifaceted pre-natal intervention on human capital accumulation in early life

We evaluate an intervention targeting early life nutrition and well-being for households in extreme poverty in Northern Nigeria. The intervention leads to large and sustained improvements in children’s anthropometric and health outcomes, including an 8 percent reduction in stunting 4 years, post-intervention. These impacts are partly driven by information-related channels. However, the certain and substantial flow of cash transfers is also key. They induce positive labor supply responses among women, and enables them to undertake productive investments in livestock. These provide protein rich diets for children, and generate higher household earnings streams long after the cash transfers expire. (JEL I12, I32, I38, J13, J16, J22, O12)
Study of microstructure and phase of plasma sprayed Cr3C2-NiCr coating before and after the sparking plasma sintering

Plasma sprayed chromium carbide coating has poor adhesion strength and wear-resistance, sparking plasma sintering(SPS) process can change the coating microstructure and improve its performance. The microstructure and phase of plasma sprayed Cr3C2-NiCr coating before and after the sparking plasma sintering were studied in this paper. The results show that the microstructure of plasma sprayed Cr3C2-NiCr coating after SPS become more compact and most of the pores and micro-cracks disappear. Some new oxides appear after SPS process. Hard Chromium carbides and oxides phase distribute in the NiCr-based solid solution to improve the wear resistance of the coating. Obvious crack at the interface has disappeared. The coating and the substrate form a good metallurgical bond. © 2013 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of the Chinese Heat Treatment Society.