Miracle-dz/UniFAR-FTUs huggingface dataset:
1 INTEGRATION OF RADARSAT-1 AND LANDSAT TM IMAGES FOR MINERAL EXPLORATION IN EAST OWEINAT DISTRICT, SOUTH WESTERN DESERT, EGYPT

East Oweinat district is located in the south Western Desert of Egypt. It is mainly occupied by outcrops of Archean to Early Proterozoic rocks of high to medium metamorphic grade and younger granitoid rocks of calc alkaline and alkaline affinity. These rocks are unconformably overlain by Paleozoic and Mesozoic sediments as well as Quaternary deposits. Landsat TM images proved to be useful in surface mapping of lithologic and structural features in that area. RADARSAT-1 images reveal fluvial features beneath a surface cover of the desert sand. These features are not observable in Landsat TM images of similar resolution. In this work, the Principal Component Analysis (PCA) technique is used for merging RADARSAT-1 and Landsat TM images to enhance the interpretation of geological features. The data fusion produced a new data set of images showing enhanced subsurface structures such as foliation, faults and folds that control the distribution of the Banded Iron Formation and placer deposits in Quaternary paleodrainages in the study district. The study demonstrates the utility of merging optical and radar remote sensing data for exploring mineral deposits in arid regions.
Dynamic quantization for track fusion under communication constraints

A new quantization approach is proposed for track fusion in fusion systems under communication constraints. The quantization algorithm used in practice for track fusion is a static nearest neighbor approach which selects the closest vector and the covariance in a table to the current track information. The quantization algorithm proposed here involves posing the quantization problem in an optimization framework and solving it by also including the predicted future values of the track into the picture. Since the approach considers the inherent dynamic characteristics of the tracks, the resulting methodology is called as dynamic quantization. The early simulation results show that the dynamic quantization is much more advantageous compared to static quantization even under very low bit rates.
Ontology based Knowledge Management for Administrative Processes in Paperless Environment 1

The knowledge management is a challenging task especially in administrative processes with typical workflows of higher educational institutions such as university in paperless environment. The proposed system aSPOCMS (An Agent-based Semantic Web for Paperless Office Content Management System) can provide paperless environment, which requires ontology based knowledge management to manage the files and documents of various departments and sections of a higher educational institution. In Semantic Web, Ontology describes the concepts, relationships among the concepts and properties within their domain. It provides automatic inferring and interoperability between applications which is an appropriate vision for knowledge management. In this paper we discussed how Semantic Web technology can be utilized in higher educational institution for knowledge representation of various resources and handling the task of administrative processes. Therefore, we need to exploit the knowledge of various resources such as department, school, section, file and employee etc. of the university. The aSPOCMS is built on an agent-based system, thus ontology is used for communication between agent and user and for knowledge representation and management. Department of Computer Science, Babasaheb Bhimrao Ambedkar University,Vidya Vihar, Raebareli Road, Lucknow-226025, Uttar Pradesh, India
Data Analysis and Prediction of Securities Based on Decision Tree Algorithm

The decision tree algorithm is one of the data mining methods. Security markets is an important part of our country’s financial market. Based on the correct analysis of the security data, selecting proper economic indicators, using the improved algorithm and mining data from the transaction can guard against financial crisis to a certain extent and predict financial trend. The experimental results show that this approach has access to knowledge of great practicable value
How Do Companies Achieve Their Marketing Goals With Social Networks

This work examines the role of social network sites as a tool used by companies to achieve marketing goals. As known from the main business literature, the social network represents one of the most important instrument to improve the company fame by strengthening the affection of customers to the brand. For this reason, some companies use these tools to build relations and contacts with customers all over the world. The population of social networks users is made, for the most parts, of youngsters (people belonging to the 13-30 years old cluster). In the last years, with the social web networking, social communication lost the exclusive social meaning and social network sites become strategic instruments for the construction of powerful relations that connect people with people and people with firms. This work is aimed at clarifying the genesis and the evolution of the relations between companies and potential customers, focusing on the tools used by the firm to achieve their marketing goals through social network sites (SNSs). First of all, the work proposes the recognition of some studies about the origin of web social network and their links with marketing strategies. Secondly, it considers marketing goals achieved from any companies through social networking with a particular focus on advertising through web social networking.
Corneal changes induced by laser ablation: study of the visual-quality evolution by a customized eye model

This study focuses on the changes induced in both the asphericity and homogeneity of the cornea for a group of myopic eyes undergoing LASIK surgery. Eyes were characterized by a Kooijman-based customized eye model in which changes were introduced in the form of Gaussian-distributed refractive-index variations of given correlation length for the inhomogeneities and in the form of an expression, based on the modified Munnerlyn's paraxial formula, for the post-LASIK asphericity. Visual quality was evaluated in terms of the Modulation Transfer Function and the Point-Spread Function. The results show that, on average, the evolution of visual acuity is consistent with the change in corneal asphericity, while the evolution of contrast sensitivity requires a loss in corneal homogeneity in order to be explained. By including both effects in the model, the overall model performance in predicting visual quality is improved.
Natural corners extraction algorithm in 2D unknown indoor environment with laser sensor

The algorithm of line extraction and corner extraction in unknown indoor environment with laser sensor is presented in this paper. The corners, the intersection point of two line segments and the two endpoints of each line segment extracted from raw sensor data, can be chosen as landmarks to estimate the position of mobile robot or used to do mapping unknown environment without artificial landmarks intentionally. Sufficient landmarks are the precondition for realizing robot localization and Mapping Environment very well. In addition, the covariance matrix of corners, propagated from covariance matrices of line segments, is derived using the first-order Taylor expansion and it is proved by comparing the uncertainty ellipse drawing from the ellipse of line segments and that from covariance matrix of corners in real experiments. Experiment results of line extraction and corner extraction in the complex environment with the HOKUYO laser sensor located on the Pioneer mobile robot are presented to proving the validity of this algorithm.
A Practical Approach for Demonstrating Environmental Sustainability and Stewardship through a Net Ecosystem Service Analysis

The increasing pressure on the earth’s resources due to population growth requires that development and resource use be managed to maintain a sustainable environment so as to preserve or enhance human well-being. A practical approach for demonstrating the environmental sustainability of an action (e.g., green business practice) through ecosystem service analysis is presented. The overarching premise of the approach is that human well-being is directly related to changes in ecosystems and associated services. The approach evaluates the net change in ecosystem services, and hence human well-being, and is termed a net ecosystem service analysis (NESA). Using this approach, if a net positive change in ecosystem services relative to the baseline condition occurs for an action, that action would be considered potentially sustainable. In addition, if an action creates net ecosystem service value above the baseline condition, it would be considered to embody environmental stewardship. Established ecological and human use quantification methods are incorporated into the analysis. In addition, to demonstrate potential sustainability, the approach must also consider the need to satisfy intergenerational equity objectives. The use of a practical approach from which private business and government representatives can make decisions regarding environmental sustainability and stewardship will provide for improved decision-making based on quantifiable metrics.
Wireless transmission of RS232 interface signal based on ZigBee

RS232 interfaces are widely used in data transmission, such as wireless meter reading, digital image transmission, industrial data collection, cell paging, fire-proof system, radio frequency identification card, local alarm system, and so on. Since the longest distance of cable transmission is only 15 meters, so it is important to develop a kind of RS232 interface used for wireless transmission. ZigBee is a new and popular protocol for wireless communication because of its low power assumption, large network capacity and the ability to organize a network automatically. The scheme of converting RS232 signal into wireless signal is introduced. MAX232 is used to connect RS232 interface with ZigBee module, and CC2430 with internal C51 is used to be programmed for wireless communication.
Association of killer cell immunoglobulin-like receptor polymorphisms with chronic hepatitis C and responses to therapy in Brazil

Soroprevalence for Hepatitis C virus is reported as 2.12% in Northern Brazil, with about 50% of the patients exhibiting a sustained virological response (SVR). Aiming to associate polymorphisms in Killer Cell Immunoglobulin-like Receptors (KIR) with chronic hepatitis C and therapy responses we investigated 125 chronic patients and 345 controls. Additionally, 48 ancestry markers were genotyped to control for population stratification. The frequency of the KIR2DL2 and KIR2DL2+HLA-CAsp80 gene and ligand was higher in chronic infected patients than in controls (p < 0.0009, OR = 3.4; p = 0.001, OR = 3.45). In fact, KIR2DL3 is a weaker inhibitor of NK activity than KIR2DL2, which could explain the association of KIR2DL2 with chronic infection. Moreover, KIR2DS2 and KIR2DS2+HLA-CAsp80 (p < 0.0001, OR = 2.51; p = 0.0084, OR = 2.62) and KIR2DS3 (p < 0.0001; OR = 2.57) were associated with chronic infection, independently from KIR2DL2. No differences in ancestry composition were observed between control and patients, even with respect to therapy response groups. The allelic profile KIR2DL2/KIR2DS2/KIR2DS3 was associated with the chronic hepatitis C (p < 0.0001; OR = 3). Furthermore, the patients also showed a higher mean number of activating genes and a lower frequency of the homozygous AA profile, which is likely secondary to the association with non-AA and/or activating genes. In addition, the KIR2DS5 allele was associated with SVR (p = 0.0261; OR = 0.184). The ancestry analysis of samples ruled out any effects of population substructuring and did not evidence interethnic differences in therapy response, as suggested in previous studies.
Plasticity-Inducing TMS Protocols to Investigate Somatosensory Control of Hand Function

Hand function depends on sensory feedback to direct an appropriate motor response. There is clear evidence that somatosensory cortices modulate motor behaviour and physiology within primary motor cortex. However, this information is mainly from research in animals and the bridge to human hand control is needed. Emerging evidence in humans supports the notion that somatosensory cortices modulate motor behaviour, physiology and sensory perception. Transcranial magnetic stimulation (TMS) allows for the investigation of primary and higher-order somatosensory cortices and their role in control of hand movement in humans. This review provides a summary of several TMS protocols in the investigation of hand control via the somatosensory cortices. TMS plasticity inducing protocols reviewed include paired associative stimulation, repetitive TMS, theta-burst stimulation as well as other techniques that aim to modulate cortical excitability in sensorimotor cortices. Although the discussed techniques may modulate cortical excitability, careful consideration of experimental design is needed to isolate factors that may interfere with desired results of the plasticity-inducing protocol, specifically events that may lead to metaplasticity within the targeted cortex.
Do Firms Use the Trade Credit Channel to Manage Growth?

While many theories of accounts payable and receivable are related to firm performance, there has not been a direct test whether firms actively use them to manage their growth. We argue that it is not just the accounts payable but also the accounts receivable that matter. While the former help to alleviate imperfections in the financial market, the latter do so in the product market. Using over 2.5 million observations for 600.000 firms in 8 euro area countries in the period 1993–2009, we show that firms use the trade credit channel to manage growth. In countries where the trade credit channel is more present, the marginal impact is lower, but the total impact is still higher. Further, firms that are more vulnerable to financial market imperfections, rely more on the trade credit channel to manage growth. Finally, we show that also the overall conditions of the financial market matter for the importance of the trade credit channel for growth.
Bcl-6 p53 mutations in lymphomas carrying the bcl-2/Jh rearrangement.

BACKGROUND AND OBJECTIVES The t(14;18)(q32;q21) chromosomal translocation is the hallmark of follicular lymphomas (FL). The translocation induces the overexpression of the Bcl-2 protein and prolongs the survival of clonogenic cells. Tumor cells may acquire additional molecular alterations that may be associated with histologic progression or with chemo-resistance. DESIGN AND METHODS We analyzed the distribution and association of bcl-6 and p53 mutations in 55 consecutive bcl-2/Jh+ lymphoma samples derived from 43 patients obtained at the time of diagnosis and, in 5 of these patients, during follow-up. A total of 29 bcl-6 point mutations were detected in seventeen patients (40%) associated with major or minor breakpoints of the bcl-2/Jh fusion gene. In seven cases a p53 mutation was detected. Three cases corresponded to FL with the minor breakpoint in the bcl-2 gene and these patients had a favorable clinical evolution, whereas the 4 patients with p53 mutations and the major breakpoint had a bad clinical outcome with morphologic transformation to high-grade lymphoma in three cases. The sequential analysis of 5 patients showed a different timing in the acquisition of mutations: one patient showed bcl-6 and p53 mutations at diagnosis, another patient showed bcl-6 mutations at diagnosis and acquired a p53 mutation later whereas the third patient had a p53 mutation before the appearance of the bcl-6 mutation. RESULTS We did not find significant differences in survival between patients with FL who showed exclusively bcl-6 mutations and those without bcl-6 mutations, but those patients with a high International Progostic Index score and p53 mutations showed the lowest overall survival (p = 0.002). INTERPRETATION AND CONCLUSIONS These findings suggest that bcl-2/Jh lymphomas show molecular heterogeneity and that bcl-6 and p53 mutations may be acquired during the evolution of such lymphomas. Bcl-6 mutations, by themselves, do not seem to be associated with a bad prognosis. Rearrangements at the minor bcl-2 locus may have a different molecular evolution.
Epidemiology of dermatomycoses of humans in Central Poland. Part II—Non‐dermatophyte infections of nails and periungual walls

This study presents the epidemiology of dermatomycoses and their etiological agents of people living in the Łódź region, Central Poland, over the years 1987–1996. The study comprised a total of 25 737 patients. Positive mycological results were obtained for 14 084 patients (54.7%). The total number of 14 295 of positive mycological results included 6902 (48.3%) isolations of non‐dermatophyte fungi. Among these positive results, isolations from subjects with infections of nails and periungual walls amounted to 2034 (29.5%). Candida albicans (59.9%) and Aspergillus sp. (17.3%) were major etiological factors of those infections. The decade in question was marked by a steady growth in incidence of the infections studied, especially over the years 1994–1996.
Data mining application for upgrading quality of wine production

We propose a data mining approach to predict the wine's quality level in order to improve the quality of products for wine enterprises in this paper. A large dataset is considered and three regression techniques were applied. Through the comparison, we get the conclusion that the model established by neural network is more accurate and it can improve the quality of wine's production.
The Euro–Mediterranean Partnership: A Macroeconomic Governance Perspective

Drawing on the idea of the European Union (EU) representing a natural ‘anchor’ for macroeconomic policy measures, this article assess the current and upcoming challenges in terms of growth and labour markets and the finance and growth nexus in the region. The structural problems concerning financial intermediation in the region turn out to be one of the major impediments for further economic development. From a political economy point of view, Mediterranean Partner Country (MPC) governments try to maximize short‐run pay‐offs in order to sustain political support and to trade these financial returns against a minimum of policy reform. The EU, on the other side of the bargaining table, tries to reap the benefits from policy reform, whereas its willingness to fund these compensation schemes can be assumed to be limited. Given these trade‐off rationales on both sides of the Mediterranean Sea, both actors free‐ride where possible which leads to suboptimal results. Therefore, this ostensible economic problem is analysed in its political economy context in order to suggest a macroeconomic co‐operation scheme that explicitly takes into account political constraints and institutional deadlocks, hampering the development of a deeper economic co‐operation within the Euro–Mediterranean Partnership (EMP) framework.
Anonymous Role-Based Access Control on E-Health Records

Electronic Health Record (EHR) system facilitates us a lot for health record management. Privacy risk of patients' records is the dominating obstacle in the widely deployed EHRs. Role-based access control (RBAC) schemes offer an access control on EHRs according to one's role. Only the medical staff with roles satisfying the specified access policies can read EHRs. In existing schemes, attackers can link patients' identities to their doctors. Therefore, the classification of patients' diseases are leaked without actually knowing patients' EHRs. To address this problem, we present an anonymous RBAC scheme. Not only it achieves flexible access control, but also realizes privacy-preserving for individuals. Moreover, our scheme maintains the property of constant size for the encapsulated EHRs. The proposed security models with semantic security and anonymity can be proven under decisional bilinear group assumptions. Besides, we provide an approach for EHR owners to search out their targeted EHR in the anonymous system. For better user experience, we apply "online/offline" approach to speed up data processing in our scheme. Experimental results show that the time consumption for key generation and EHR encapsulation can be done in milliseconds.
Narrowband interference suppression in spread spectrum communications via multiuser detection techniques

Due to the scarcity of frequency allocations for emerging personal communications services, it has been proposed that spread spectrum (SS) signals be used in such services so that they can be overlaid on existing frequency band occupants. Such SS signals would be constrained in power so as not to interfere with pre-existing, narrowband users. In view of this application, suppression of strong narrowband signals that interfere with commercial SS communications systems is being investigated with renewed interest. Previous research has modeled the narrowband user as a sinusoidal or autoregressive signal, and consequently has advocated use of predictive filtering to suppress the narrowband signal. In this paper it is shown that when the narrowband interferer is in fact a digital communication signal that these methods are less effective than techniques derived from multiuser communications. In particular, by modeling a narrowband user as a digital signal, optimal and asymptotically (low background noise) optimal linear algorithms for the recovery of the SS bit stream are developed. This techinque represents not only a promising new approach to narrowband interference suppression, but also a new application for multiuser detection theory. >
An Improved Frequent Pattern Algorithm for Mining Association Rules

Data mining, also known as Knowledge Discovery in Databases (KDD) is one of the most important and interesting research areas in 21 st century. Frequent pattern discovery is one of the important techniques in data mining. The application includes Medicine, Telecommunications and World Wide Web. Nowadays frequent pattern discovery research focuses on finding co-occurrence relationships between items. Apriori algorithm is a classical algorithm for association rule mining. Lots of algorithms for mining association rules and their mutations are proposed on the basis of Apriori algorithm. Most of the previous algorithms Apriori-like algorithm which generates candidates and improving algorithm strategy and structure but at the same time many of the researchers not concentrate on the structure of database. In this research paper, it has been proposed an improved algorithm for mining frequent patterns in large datasets using transposition of the database with minor modification of the Apriori-like algorithm. The main advantage of the proposed method is the database stores in transposed form and in each iteration database is filtered and reduced by generating the transaction id for each pattern. The proposed method reduces the huge computing time and also decreases the database size. Several experiments on real-life data show that the proposed algorithm is very much faster than existing Apriori-like algorithms. Hence the proposed method is very much suitable for the discovering frequent patterns from large datasets.