Miracle-dz/UniFAR-FTUs huggingface dataset:
Information visualization techniques for presenting Qur'an histories and atlas

Purpose – The purpose of this paper is to study suitable visualization techniques representing Qur'an history and atlas. It focuses on analyzing the effectiveness of the concept map and the hyperbolic tree visualization techniques. Design/methodology/approach – The effectiveness is measured in the aspects of the task time to complete a search based on questions provided. The task time is predicted using a task analysis technique called keystroke level model – goal operator methods and selection rules (KLM-GOMS). It is suitable to produce the hypothesis of which visualization techniques are able to maneuver the users to complete the task goals in the shortest time. The scope presented is the histories and locations related to selected chapters in part 30 of the Qur'an. Findings – Hyperbolic tree is more time effective compared with concept map visualization technique. Concept map visualization system has been voted as the most satisfying visualization technique even though the difference is only 1.3 second.
DRAFT: PLEASE DO NOT QUOTE OR CITE CLIMATE CHANGE AND PRODUCTION RISK: EVIDENCE FROM INDIAN AGRICULTURE*

In India, agriculture accounts for about sixty percent of employment. How would climate change, that is expected to hit agriculture in poorer countries very hard, affect India’s agriculture? We study the impact of climate change on the mean and variance of yields of three food grains — rice (India’s major crop), sorghum and pearl millet — at the district level using a large panel dataset from 1966-2011. An agricultural production function is estimated with exogenous climate variables -precipitation and temperature -controlling for other non climate inputs. We hypothesise that climate variability increases production risk. To capture the impact of climate extremes, climate variables are modelled as anomalies. The results show that climate change adversely affects mean and variance of crop yields. Higher temperature reduces crop yields, on an average. Climate extremes, rainfall extremes in particular increase crop yield variability.
A NOVEL HARDWARE PARAMETERS BASED CLOUD DATA ENCRYPTION AND DECRYPTION AGAINST UNAUTHORIZED USERS

Now-a-days, there is a revolutionary trend to use cloud services, so more customers are attracting to use public cloud storage. Data storage outsourcing to cloud storage servers is an emerging trend among many firms and users. To relieve from the burden of storage management, broad data access with independent geographical locations and economizing of expenditure investment on software, hardware and maintenance, most of the organizations are outsourcing their data management operations to external service providers. The most attractive part of the cloud computing is the computation outsourcing with its uniqueness, which is becoming the major research area and also getting paid more attention and interest from both academia and industry. As research is progressing day-by-day, obstacles of cloud computing are getting into the focus of vision, simultaneously few challenges are getting solved, and few solutions are better optimized. Among the new born or existing, the challenge which is in most limelight always is security of the outsourced data. Consequently data owner neither have any control on hosted data nor on hosted data centers. Number of techniques addressed this problem, to ensure data security and integrity hosted in cloud. But all of them have their own limitations. In this paper, we propose a new model of CPABE, which uses hardware parameters such as cloud instances, server configurations are used in the setup, key generation, encryption and decryption phases.
Structural and Morphological Study of Sulfonated Graphene Oxide Prepared with Different Precursors

In this study, graphene oxide (GO) as nano sized filler to improve the properties of polymer electrolyte membrane was synthesized via the modified Hummers method. Hummers is the most common method used to synthesize GO. The GO is produced by exfoliation of graphite oxide under sonication method. Dispersion by sonication method shows mechanical disruption that breaks apart the graphite flakes which is then sterically stabilized in the base solution. The as-synthesized GO will be sulfonated using different precursors, namely (3-mercaptopropyl)trimethoxysilane (MPTMS), butane sultone (BS) and sulfanilic acid (SA). The structure and morphology of GO and sulfonated GO (SGO) were investigated in details by using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). FTIR analysis confirmed the presence of several functional groups such as hydroxyl, epoxy, carbonyl, carboxyl and sulfonic acid group. The obtained SEM and TEM images indicated, that the morphology of GO dispersion is folded, multilayered and crumpled with some wrinkles. The morphology of SGO showed a folded, thicker and overlap surface compared with GO sheets. Based on TEM image, the addition of sulfonic acid group into the GO network reveals the black spot on the sheets surface. This SGO will act as a potential base material for the application of solid acid catalyst, water purification as well as a composite in membrane fabrication.
Working Paper No . 6-11 Balance sheet effect in the Polish economy

Paper refers to the relations between real economic activity and the state of financial system. It presents how the balance sheet effect works and how it influences the real economic activity and the effectiveness of the monetary policy. The empirical part of the paper presents the theoretical model, which is derived from classic assumptions. On the basis of this model, the balance sheet effect in the Polish economy is verified. The verification process is conducted on the basis of individual financial statements of 27 730 Polish companies encompassing period between 2002-2007.
The Structure of the Merriam-Webster Pocket Dictionary

The structure of a dictionary, in this case the Merriam-Webster Pocket Dictionary (1970 edition), has been revealed through a series of computational operations augmented with human interpretation. The following dissertation will attempt to describe the details of this investigation, its procedures, and conclusions with regard to lexical structure. The structural description of the dictionary as a natural language artifact requires both an appreciation of the lexicogragher's design for the dictionary and the less apparent underlying organization which the dictionary suggests for the English lexicon. The dictionary is neither a purely formal description of the language, nor a casual assemblage of textual definitions. It has structure both as an artifact of the lexicographer's art, and more importantly as a result of the lexicographer's shared semantic and pragmatic knowledge of the world used in writing definitions. Because definitions posses a somewhat formal syntax they are capable of human analysis. Because there are tens of thousands of definitions involved it becomes necessary to use computational techniques to augment this human analysis. This might serve as an informal definition of computational lexicology, i.e. the application of computational techniques to facilitate human analysis of the structure of the dictionary. The dictionary is shown to have a fundamentally taxonomic organization for nouns and verbs. Because the dictionary is a closed system, i.e. words used in definitions are themselves elsewhere defined in the dictionary, definitions naturally terminate in circular clusters. These clusters constitute the primitive concepts of the language and the exposition of their existence and members provides insights into Enlgish language semantics. The dictionary is an acyclic semi-lattice once allowance for these primitive terminal clusters is made. A maximal depth of less than 20 and widths of a few hundred senses are present. The dictionary is seen as a profitable subject for future exploration and potentially useful in a multitude of tasks in computational linguistics, artificial intelligence and cognitive science. Techniques for providing detailed descriptions of semantic domains of nouns and verbs are described together with case studies of the verbs of motion and the vehicle nouns. The potential use of dictionary data for automatic disambiguation is discussed.
A Colored Petri Nets Model for the Diagnosis of semantic faults of BPEL Services

The paper contributes to modeling an orchestrated complex Web Service (BPEL) with Colored Petri Nets (CPNs) for diagnosis. In the CPNs model, colored tokens are used to represent the faults (either in inputs data or external faulty Web services) in a BPEL process. Three I/O data dependency relations are introduced into the color functions of the CPN models. Thus the transmitting of faults between the process control and internal data, data and data, in a BPEL service can be modeled as the execution of a CPN system. We give a concrete translation from a BPEL service to a CPNs model and define a model-based diagnosis framework. Based on the marking evolution equation in Petri nets theory, we construct an inequations system as a diagnosis problem and solve it with an algebra algorithm. 1
Effects of Exogenous Spermidine and its Synthetic Inhibitor on the Development of Bulbils on Herbaceous Peony ( Paeonia lactiflora Pall . )

In this study, the herbaceous peony cultivar ‘Zifengyu’ was sprayed with the exogenous spermidine (Spd) and the spermidine biosynthesis inhibitor D‒argimine (D‒Arg). The bulbils of each treatment were selected every 10 days to investigate the dynamic changes of endogenous hormones and polyamines, the activity of enzymes and contents of soluble protein and soluble sugar. The development state of bulbils was observed with paraffin section in winter. Then the unearthed date, budding rate, blossoming season, plant height and flowering rate of the peonies in each treatment were statistically analyzed. The results showed that in petal primordium differentiation phase, Spd treatment increased the contents of enogenous Spd, putrescine (Put) and gibberellin A3 (GA3), whereas the D‒Arg decreased their contents. But Spd and D‒Arg treatments both accelerated the change speed of the antioxidant enzyme activities and reduced MDA content, enhanced the accumulation and utilization of soluble sugar and soluble protein, and raised the contents of zeatin (ZT) in the early development of bulbils and then declined later. At the same time, the contents of indole‒3‒acetic acid (IAA), abscisic acid (ABA), ethylene (ETH) were reduced and shorten petal primordium differentiation phase, extend stamen primodium differentiation phase. Spd treatment was not conducive to budding rate and blooming and plant development, D‒Arg treatment had no significant effect on plant height, and could improve budding rate and blooming of herbaceous peony. © 2019 Friends Science Publishers
PER Religion , Health , and Psychological Well-Being

This study compares the effects of religiosity on health and well-being, controlling for work and family. With 2006 GSS data, we assess the effects of religiosity on health and well-being, net of job satisfaction, marital happiness, and financial status. The results indicate that people who identify as religious tend to report better health and happiness, regardless of religious affiliation, religious activities, work and family, social support, or financial status. People with liberal religious beliefs tend to be healthier but less happy than people with fundamentalist beliefs. Future research should probe how religious identity and beliefs impact health and well-being.
Hands On With Nature : Designing Tangible Interactions With Plants

Paste the appropriate copyright statement here. ACM now supports three different copyright statements: • ACM copyright: ACM holds the copyright on the work. This is the historical approach. • License: The author(s) retain copyright, but ACM receives an exclusive publication license. • Open Access: The author(s) wish to pay for the work to be open access. The additional fee must be paid to ACM. This text field is large enough to hold the appropriate release statement assuming it is single spaced in a sans-serif 7 point font. Every submission will be assigned their own unique DOI string to be included here. Abstract The unique affordances and properties of plant life hold many possibilities for augmentation with digital interaction without detracting from their natural presence. These possibilities have potential to create more organic interactions with nature. This paper draws on previous work we have conducted relating to interactions with plants, along side an account of a Social Media and Interaction themed Hackathon1 that used plant life as a key material to prototyping interactive media to promote sustainability. From this we propose early questions, abstract ideas and the possible challenges researchers and designers will encounter working with human-plant interaction.
J . Plant Breed . 13 : 11 – 23 ( 2009 ) GENETIC RELATIONSHIPS OF SOME EGYPTIAN AND YEMENI WHEAT VARIETIES DETECTED BY RAPD AND ISSR MARKERS

Two types of molecular markers, Randomly Amplified Polymorphic DNA (RAPD) and Inter-Simple Sequence Repeats (ISSR), were assayed to determine the genetic diversity of four hexaploid Egyptian wheat varieties [(Giza164, Giza168, Sakha61 and Sakha92) (Triticum aestivum)], and four tetraploid Yemen's wheat genotypes [Behows14, Smara'a, Mysany and Saba'a (Triticum durum)]. In RAPD analysis, six used primers displayed RAPD profiles with polymorphic bands. A total of 24 bands out of 58 bands for the Egyptian and Yemeni varieties were polymorphic (41.38% of polymorphism) consist of DNA fragments with molecular weights ranged from 113 to 1175 base pairs. The Yemeni genotypes were distinguished via OP-A03 and HB-11 primers that generated two bands at molecular weight of 153.22 and 374.16 base pairs, respectively. The Egyptian varieties were distinguished via OP-A10 and HB-12 primers that generated two bands at molecular weight of 483.98 and 707.79 base pairs, respectively. In ISSR analysis, six used primers generated variable banding patterns with amplified bands ranged from 74 to 1119 base pairs. Thirty five bands out of 71 bands were polymorphic for the Egyptian varieties and Yemeni genotypes with 49.3% of polymorphism. Primer 89-B gave a specific marker for the Yemeni genotypes with molecular weight of 287.40 base pairs. While primer HB-10 gave a specific marker for the Egyptian varieties with molecular weights of 502.69 and 550.05 base pairs. Dendrogram was constructed for the tested cultivars using UPGMA algorithm based on RAPD and ISSR analysis. The dendrogram indicated that the Egyptian varieties were grouped in one cluster and the Yemeni ones were separated in the other cluster. The present study showed that RAPD and ISSR analyses are useful tools for generating candidate specific markers of genetic characterization and distinguishing between the tetraploid and hexaploid wheat genotypes and necessity for protection of Egyptian royalties of the landraces.
Research of the Flow Sampling Algorithm

This article presents a flow measurement sampling method based on the application group, which identify the received message and then trasmit the identified packets to the corresponding application packet sample space, after this sampling each space packet independently. Thus to ensure the network to restore the situation in the application of fine-grained has lower error rate, thereby reducing the distortion of the application distribution.
Assessing the Competitiveness of Syrian Cotton Production: A Policy Analysis Matrix Approach

The ongoing opening of the Syrian economy to the world markets after it was predominantly state-controlled and the scarcity of natural resources, in particular water, require a reallocation of domestic resources. State policy in Syria has a noticeable influence on the agricultural and particularly on the strategic crops sector. Cotton is important crop from this sector and generates 20-30 percent of the total foreign agricultural exchange earning in the country. Under these conditions, the study employs the concept of comparative advantage of international trade theory to analyse competitiveness of Syrian Cotton Production. The mechanism of comparative advantage can explain much of the competitive performance both in the recent past and in the near future, given the technological and structural characteristics of the production as well as the properties of the macroeconomic environment associated with the recent market reforms. This paper examines the efficiency of lint cotton production in one of the major producing provinces in Syria considering the different irrigation systems that are used to produce cotton and using a modified policy analysis matrix (PAM) approach. The PAM data was collected firstly at farm level, where farms were classified into four groups according to water resource and irrigation systems. The collected data at this level were related to the cost of agricultural operations. Secondly, data of the post harvest operations and off-farm processing were gathered from the National Agricultural Policy Centre and the Cotton Market Organisation. The results of the analysis indicate that lint cotton is not efficiently produced in the river region; while it has comparative advantage only in the drip irrigation system in wells region. Without government interventions, it is likely that acreage in areas which used conventional methods of irrigation will move away from cotton to more profitable crops. This study suggests reconsidering the currently applied policies concerning prices and subsidies especially in public river irrigation systems und using of drip irrigation technologies.
Enhancing the Enabling Technologies: A TVWS and Cognitive Radio Scenario

As the concern of effective utilization comes with any other resource, spectrum and its efficient usage has been an issue for quite some time. With the tremendous growth in number of wireless consumers, the problem of effective spectrum utilization (or spectrum scarcity) is speeding with the passage of every instance. The existing research has come up with potential solutions which would act as enabling technologies in solving the problem of spectrum crunch. However, currently we are facing the issue of bringing these technologies in action due to a number of factors. With this motivation in mind, our work is divided into two parts: Television White Space (TVWS) and Cognitive Radio (CR). With the growing research in India, we have taken into consideration the two enabling technologies of TVWS and CR and proposed solutions to the immediate problems being faced by the two. In the first part, we paint the background of spectrum usage and TVWS. Further, we present how the scenario of utilization would vary in different rural areas in India. We then propose the considered framework followed by an analytical approach to calculate the power for secondary user which would not cause interference for the primary user. In the second part, we discuss the deployment scenario for Cognitive radio, proposing to the MNOs, a shared deployment of Cognitive radio (in place of sharing any other resources). With the use of Game Theory we present the shared deployment of Cognitive Radio as a game and its solution gaining Nash Equilibrium.
Analisis Pengukuran Kinerja dengan Konsep Balance Scorecard

This study aims to analyze the performance measurement of PT Bumi Hijau Puri Persada using Balanced Scorecard concept. The Primary data was obtained from the questionary and interview process with customer and employess of PT Bumi Hijau Puri Persada. The secondary data obtained from financial report of both income statement and statement of financial position year period 2015-2017. The result of this research indicate that the overall performance of PT Bumi Hijau Puri Persada is quite good with the score of 0,24. Financial perspective as measured by financial ratio analysis with score (-0,33) is not good, which include a quite good liquidity ratio, quite good solvency ratio, a bad profitabilty ratio, and a good activity ratio.The result from the customer perspective indicate that the performance is quite good with score 0,56 consist of attributes of products services, company image, customer relationship. The internal business perspective also shows a good performance with a score of 0.57 which includes the process of innovation, operation, after sales service. Learning and growth side perspective show up with quite a good score of 0,57, consist of employee capabilities, information system capabilities, motivation, empowerment, harmony.
Monetary policy regimes in the New Keynesian framework : Results for Accession Countries

This paper studies implications of alternative monetary policy regimes as discretionary and commitment policy rules for closed and small open economies. For each of these two economy types a model with possible frictions in nominal prices is constructed. Such a model is suited for the study of effects of monetary policy rules on inflation rates and output gaps and allows for forwardand backward-looking behavior when determining inflation and output dynamics. We consider each of the EU-accession CEECs as a small open economy and evaluate the empirical size of forwardand backward-looking expectations in these countries. Moreover, we verify whether output gaps and deviations of marginal costs from their equilibrium are good approximations of each other in estimates of hybrid versions of the New Keynesian Phillips curve. It seems that the Slovak Republic, Romania, Slovenia and Poland have shown a more credible monetary policy than the other CEECs considered.
Dimension Reduction by Principal Component Analysis for Evolutionary and Backpropagation Neural Networks

In machine learning, back-propagation neural network and evolutionary neural network have been widely used to solve classification problems. However, evolving neural network suffers from high dimensional space which is proportional to the dimension of data. Back-propagation neural network is often stuck into local optima. These are related to the curse of dimensionality decreasing the performance of classification. Principal Component Analysis (PCA) is widely used to reduce data dimension and our work shows how can PCA affects the learning of two representative neural networks. In this paper, our work presents the relationship between data dimension and classification methods. Our work used six UCI benchmark data sets and our empirical studies showed that PCA affects differently on the performance of back-propagation neural network and evolving neural network.
Economic Integration in the Asia-Pacific Region : Sequencing , Welfare Impact , and Industrial Adjustments

In recent years, a growing number of bilateral and plurilateral free-trade agreements (FTAs) involving Asia-Pacific countries have been signed, ratified, or under negotiations. Although there have been studies on sequencing of real and monetary integration, studies on optimal sequencing of FTAs are extremely scarce. However, the magnitudes of sectoral output and employment adjustments resulting from trade accords are great concern to policy makers. Using a dynamic computable general equilibrium (CGE) model, the relationship between sequencing of FTAs in the Asia-Pacific region and the magnitudes of welfare effects and industrial adjustments of the member countries is examined. A different sequencing of FTAs is considered in each policy scenario. If a particular sequencing of FTAs would change the industrial structure within each country closer to that which would prevail under free trade, while increasing economic welfare of the member countries, then it may be considered as a beneficial intermediate step towards global trade liberalization. The preliminary results suggest that the extent of sectoral adjustments differs greatly among alternative FTA sequencings. JEL classification: F15, F17