Miracle-dz/UniFAR-FTUs huggingface dataset:
The Expression of Human Telomerase Reverse Transcriptase Gene and Its Activity in Patients with B-Cell Chronic Lymphocytic Leukemia and Its Impact on Clinical Staging

BACKGROUND: The B-Cell chronic lymphocytic leukemia is a commonest leukemia in elderly individuals characterized by progressive accumulation of mature lymphocyte in bone marrow and peripheral blood that tend to be immortal. The identification of human telomerase reverse transcriptase (hTERT) has been correlated with disease aggressiveness in malignancies. The previous researchers showed that the hTERT expression could serve as a molecular prognostic marker for B-CLL patients. However, due to the disease differences in prevalence and aggressiveness between the western and eastern countries, there is still a need to see the correlation of hTERT in B-CLL patients of the eastern world.AIM: To test the quantitative assessment of hTERT gene expression in B-CLL patients and its prognostic value in correlation with clinical staging of disease in Iraqi patients.PATIENTS & METHODS: we used the TRAP assay to assess the hTERT gene expression in mononuclear blood cells from 43 B-CLL patients.RESULTS: The hTERT gene expression was detected in 79.1% of B-CLL patients and no positive expression in control group (P=0.001). The hTERT gene expression tends to be significantly higher in advanced B-CLL stage (P=0.0001). Also, the expression was higher among elderly patients, patients with lower hematological parameters, patients with splenomegaly or hepatomegaly, patients with a history of hypertension or diabetes mellitus, and patients with high immunophenotype score. CONCLUSION: Our research suggests that the hTERT expression could serve as a prognostic marker for Iraqi patients with B-CLL as well as western countries.
Soil biota in grassland, its ecosystem services and the impact of management.

In the search for sustainable grassland systems, self-regulating processes in the soil become increasingly important. Soil biota play an important role in these processes and in the provision of various ecosystem services. For grassland systems important ecosystem services are supply of nutrients, soil structure maintenance and water retention. For developing and optimising sustainable grassland systems, insight is needed into the mechanisms by which soil biota are influenced by management and what it means for the functioning of the soil-plant system. Interactions between soil and plants can be represented by a cyclic conceptual framework including plant/roots, soil biota and soil properties. The challenge for sustainable grassland is to allow this cycle to function optimally with a minimum of external inputs. In these systems the soil food web is probably bacterial-based with a high density of earthworms. The impacts of grassland management on soil biota are discussed on the basis of two cases: use of grass-clover mixtures and a ley-arable crop rotation versus permanent grassland and continuous arable land.
Actual Utilization of a Benefits Management Process in IS / IT projects

This article presents a literature review on benefits management process models and on the way organizations are effectively using some formal method to support the implementation of information systems. It starts by revising the literature on the problems with information systems implementation in different organizations around the world, showing that there are several problems with IS/IT projects. The article then looks at the literature on potential solutions for the known problems, specifically the existence of several proven process models for benefits management. Finally, it reviews some of the published literature on actual usage of formal benefits management process models, concluding that evidence shows usage rates are actually low.
Chapter 6 The single catalase of Candida albicans localizes to peroxisomes and is required for optimal growth on fatty acids

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Mathematics For Industry: A Personal Perspective

"I am an industrial mathematician. " When asked to identify my profession or academic field of study, this is the most concise answer I can provide. However, this seemingly straightforward statement is commonly greeted by a blank stare or an uncomfortable silence, regardless of whether I am speaking to a fellow mathematician or a non-mathematician. I usually follow up with the clarification: "I am an applied mathematician who derives much of my inspiration from the study of industrial problems that I encounter through collaborations with companies. " This dispels some confusion, but unfortunately still leaves a great deal open to interpretation owing to the vagueness of the words mathematics, industry and company, each of which covers an extremely broad range of scientific or socio-economic activity. To those academics who actually work in the field of industrial mathematics (and whose "perspective" referred to in the title is the focus of this article) this ambiguity is familiar and untroubling. However, for anyone less acquainted with the work of industrial mathematicians, some clarification is desirable especially for anyone who might be considering entering the field. This essay therefore aims to shed light upon the nature of research being done at the interface between mathematics and industry, paying particular attention to the following questions: What is industrial mathematics? Where is industrial mathematics? How does one do industrial mathematics? Why (or more precisely, what value is there in doing) industrial mathematics? I will attempt to answer these questions by means of several case studies drawn from my own experience in tackling mathematical problems from industry.
Forecasting oil price realized volatility: A new approach

This paper adds to the extremely limited strand of the literature focusing on the oil price realized volatility forecasting. More specifically, we evaluate the information content of four different asset classes’ volatilities when forecasting the oil price realized volatility for 1-day until 66-day ahead. To do so, we concentrate on the Brent crude oil and fourteen other assets, which are grouped into four different asset classes, based on Heterogeneous AutoRegressive (HAR) framework. Our out-of-sample forecasting results can be summarised as follows. (i) The use of exogenous volatilities statistically significant improves the forecasting accuracy at all forecasting horizons. (ii) The HAR model that combines volatilities from multiple asset classes is the best performing model. (iii) The Direction of Change suggests that all HAR models are highly accurate in predicting future movements of oil price volatility. (iv) The forecasting accuracy of the models is better gauged using the Median Absolute Error and the Median Squared Error. (v) The findings are robust even during turbulent economic periods. Hence, different asset classes’ volatilities contain important information which can be used to improve the forecasting accuracy of oil price volatility.
Mathematical Modeling of Air Pollutants: An Application to Indian Urban City

Continuous development and increase of population in the urban areas, a series of problems related to environment such as deforestation, release of toxic materials, solid waste disposals, air pollution and many more, have attracted attention much greater than ever before. The problem of air pollution in cities has become so severe that there is a need for timely information about changes in the pollution level. The air pollution dispersion is a complex problem. It covers the pollutant transport and diffusion in the atmosphere. The pollutant dispersion in the atmosphere depends on pollutant features, meteorological, emission and terrain conditions. Physical and mathematical models are developed to describe the air pollution dispersion. Physical models are small scale representations of the atmospheric flow carried out in wind tunnels. Mathematical models are divided in to statistical and deterministic models. Statistical models are based on analysis of past monitoring air quality data. Deterministic models are based on a mathematical description of physical and chemical processes taking place in the atmosphere. These models are based on mathematical equations, express conservation laws of mass, momentum and energy. Both the models are discussed in this chapter. Statistical models are also divided into linear and non-linear models. Several studies based on the statistical models have been carried out in different regions to identify local meteorological conditions, most strongly associated with air pollutants concentration to forecast the air quality (McCollister & Willson, 1975; Aron & Aron, 1978; Lin, 1982; Aron, 1984; Katsoulis, 1988; Robeson & Steyn, 1990). Many of the previous studies (Sanchez et. al., 1990; Mantis et al., 1992; Milionis & Davies, 1994) analyzed the meteorological conditions associated with high pollutant concentration. These studies usually produced qualitative or semi quantitative results and shed light on the relation between the meteorological conditions and pollutant concentrations. Shi & Harrison, 1997 developed a linear regression model for the prediction of NOx and NO2 in London. A linear regression model was used by Cogliani, 2001 for air pollution forecast in cities by an air pollution index highly correlated with meteorological variables. Since the relation between air pollutants and meteorological variables is not linear, some non-linear models i.e., Neural Network can also be used to forecast the pollutant concentrations (Bozner et al., 1993; Comrie, 1997). The deterministic models are divided in to Eulerian, Lagrangian and Gaussian models. In this chapter we discuss only the Eulerian analytical models. The atmospheric diffusion
Adaptive multielement DFE receivers for narrowband multiuser detection

The performance of adaptive multielement decision feedback equalization (DFE) receiver structures is examined for a narrowband, two-user space division multiple access (SDMA) system with a TDMA slot structure similar to that of the Digital Advanced Mobile Phone Service (DAMPS). Various means of coupling or cross-feedback of decisions between user receiver sections at the base station are explored, as well as a slot-to-slot adaptive receiver structure. It is found that the cross-feedback of decisions between user receiver sections is an effective means of regaining diversity benefits lost due to the addition of a user to the narrowband system.
The Effects of Fiscal Policy in Italy: Estimates with a Svar Model

This paper studies the effects of fiscal policy on private GDP, inflation and interest rates in Italy using a structural Vector Autoregression. For this purpose a database of quarterly cash data for selected fiscal variables for the period 1982:1-2003:4 is constructed, largely on the basis of the information contained in the Italian Treasury Quarterly Reports. The main results of the study can be summarized as follows. A shock to government purchases of goods and services has a sizeable and robust effect on economic activity: an exogenous one per cent (in terms of private GDP) shock raises private real GDP by 0.6 per cent after 3 quarters. The response of GDP goes to zero after two years, reflecting with a lag the low persistence of the shock. The effects on private consumption and investment are positive; the reaction of inflation is also positive but limited and short-lived. In contrast, public wages, which in many studies are lumped together with purchases, have no significant effect on GDP in the short-run; a negative and significant effect emerges after two years. The reactions of inflation and interest rates are positive and larger than in the case of a shock to purchases. Finally, shocks to net revenue have negligible effects on all the macroeconomic variables.
Successful Learning of Academic Word List via MALL: Mobile Assisted Language Learning.

Mobile phones as new addition to information and communication technologies have created new ways to help learners in the process of foreign language learning. Given the importance of academic vocabularies for university students, this study tried to investigate the effectiveness of SMS on Iranian university students’ vocabulary learning and retention. To this end forty five university freshman students with upper intermediate proficiency level were chosen to take part in this study. During 16 weeks of experiment, the participants of the experimental group (N = 28) were taught 320 head words from the Academic Word List (Coxhead, 2000) via SMS. During the same period of time the participants of the control group (N=17) were taught the same words by using dictionary. At the end, both groups were given a vocabulary test from Academic Word List, to see the effect of SMS on their vocabulary learning and the scores of each group were compared employing an independent t-test. The result of the t-test showed both groups had improved in the post- test. Although there was not any significant difference between the groups in the post- test, the result of the delayed post- test showed that SMS had more significant effect on vocabulary retention compared to using dictionary, and the experimental group outperformed the control group. The result of this study can have pedagogical implication for language teachers, in that they can use SMS as a useful way to help their students to retain vocabularies in their long term memory.
Data and voice integration in DR-TDMA for wireless ATM networks

This paper proposes data and voice scheduling algorithms for the dynamic reservation time division multiple access (DR-TDMA) MAC protocol for wireless ATM networks. Featuring a novel framed pseudo-Bayesian priority ALOHA algorithm that provides access priority to voice control packets, DR-TDMA improves the quality-of-service offered to voice connections and increases the maximum throughput for integrated voice and data traffic. The DR-TDMA protocol can also be extended to integrate constant bit rate (CBR) and variable bit rate (VBR) traffic in general. Simulation results show that the DR-TDMA protocol can achieve throughput in the range of 96% while maintaining reasonable quality of service for data traffic and a voice loss rate lower than 1%.
Constraining planet structure from stellar chemistry : the cases of CoRoT-7, Kepler-10, and Kepler-93

Aims. We explore the possibility that the stellar relative abundances of di erent species can be used to constrain the bulk abundances of known transiting rocky planets. Methods. We use high resolution spectra to derive stellar parameters and chemical abundances for Fe, Si, Mg, O, and C in three stars hosting low mass, rocky planets: CoRoT-7, Kepler-10, and Kepler-93. These planets follow the same line along the mass-radius diagram, pointing toward a similar composition. The derived abundance ratios are compared with the solar values. With a simple stoichiometric model, we estimate the iron mass fraction in each planet, assuming stellar composition. Results. We show that in all cases, the iron mass fraction inferred from the mass-radius relationship seems to be in good agreement with the iron abundance derived from the host star’s photospheric composition. Conclusions. The results suggest that stellar abundances can be used to add constraints on the composition of orbiting rocky planets.
Unnamed and Anonymous Sources:Did They Shape the Debate Over Invading Iraq?

A study of 528 news items from 11 countries explores how anonymous and unnamed sources were used by journalists during the buildup to the Iraq War. A quarter of all sources appearing in news items were not identified by name. The use of unnamed sources corresponded with a decrease in ideas opposing the war and a tone that presented the war as being more positive and unavoidable. The findings raise questions about whether anonymous and unnamed sources serve the perceived whistleblower function in political discourse.
Knowledge, attitude and practice of pharmacovigilance among medical professionals at a tertiary care hospital in Mumbai, Maharashtra, India

Background: Many adverse drug reactions (ADRs), interactions and specific toxicities are known once drug is exposed to a larger population. Spontaneous reporting adverse events (AEs) are fundamental to a robust pharmacovigilance (PhV). Increasing physician awareness about the pharmacovigilance and ADR reporting can significantly contribute the safety of medicines. Objective of the study was to assess the knowledge, attitude and practices related to PhV among medical professionals at a tertiary care teaching hospital. Methods: Postgraduate students (PGs) and medical teachers at a Medical College and tertiary care hospital were evaluated for their knowledge, attitude and practice of pharmacovigilance with the help of a structured questionnaire. Suggestions for improving the effectiveness of the pharmacovigilance practices were also sought. Results: One-hundred and fifty doctors [91 (60.7%) PGs and 59 (39.3%) medical teachers] participated. Overall, 48.7% were males. 96% believed that PhV is important in medical practice but only 79.3% knew the definition of pharmacovigilance. Only 24.7% were aware of the existing nationwide pharmacovigilance program whereas the international collaborating center was known to 26% of the participants. 96% believed that it is the duty of a treating physician to report an ADR while 36.7% felt that ADR reporting should be the responsibility of a separate team. Surprisingly, 54% felt that financial aid should be provided for ADR reporting. 42.7% have not reported any ADR whilst only 16% have reported more than 10 ADRs in their career. To create an ADR database (79.3%) was the common expectation from the PhV center. 98.7% suggested continued medical education (CME) and trainings to improve the effectiveness of PhV in Indian setting. Conclusions: Regardless of a fair attitude towards PhV, the practice of ADR reporting is poor probably because of lack of sufficient knowledge about PhV. Motivating the physicians through CMEs and trainings so as to improve and strengthen the pharmacovigilance practices is the current need in India.
Factors affecting Customer Loyalty in Banking Sector: A study on Banks in Bahawalpur (Pakistan)

The emergence of new banking channels like as phone banking, Internet banking, Automated Teller Machines (ATM), furthermore developing financial market & global competition have constrained bankers to explore the importance of customer loyalty. For the banks to be successful in the intensively competitive environment, they are bound to attach importance to customer loyalty. The aim of this study is to investigate how the behavior and intentions of the respondents will be influenced by different factors of customer loyalty. The objectives of the current study are of two folds; firstly, to examine the relationship of trust, customer satisfaction and service quality with customer loyalty. Secondly, to determine which factor influenced customer loyalty the most? Data was collected through non probability convenience sampling, from a sample of 496 respondents by using a self-administered questionnaire. The collected Data was analyzed through regression technique using SPSS 17. Results of the current study reveal that trust, customer satisfaction and service quality has significant effect on customer loyalty. But the relationship or trust with customer satisfaction is not proved. Moreover the study revealed that customer satisfaction is found as the most influential variable for customer loyalty. The managerial implication of this research is the considerations of bank managers for the enhancement of their customer loyalty.
Effects of Visual and Acoustic Distraction on Driving Behavior and EEG in Young and Older Car Drivers: A Driving Simulation Study

Driving safety depends on the drivers’ attentional focus on the driving task. Especially in complex situations, distraction due to secondary stimuli can impair driving performance. The inhibition of distractors or inadequate prepotent responses to irrelevant stimuli requires cognitive control, which is assumed to be reduced with increasing age. The present EEG study investigated the effects of secondary acoustic and visual stimuli on driving performance of younger and older car drivers in a driving simulator task. The participants had to respond to brake lights of a preceding car under different distraction conditions and with varying task difficulties. Overall, the anticipation of high demanding tasks affected braking response behavior in young and especially in older adults, who showed reduced cognitive control to task-relevant braking stimuli, as reflected by a smaller P3b. In a more easy (perception only) task, simultaneously presented acoustic stimuli accelerated braking response times (RTs) in young and older adults, which was associated with a pronounced P2. In contrast, secondary visual stimuli increased braking RTs in older adults, associated with a reduced P3b. In a more difficult (discrimination) task, braking response behavior was impaired by the presence of secondary acoustic and visual stimuli in young and older drivers. Braking RT increased (and the P3b decreased), especially when the responses to the secondary stimuli had to be suppressed. This negative effect was more pronounced with visual secondary stimuli, and especially so in the older group. In sum, the results suggest an impaired resistance to distractor interference and a reduced inhibition of prepotent responses in older drivers. This was most pronounced when the processing of task-relevant and irrelevant stimuli engage the same mental resources, for example, by sharing the same stimulus modality.
On the mix‐down times of dynamically active potential vorticity filaments

A simple model is used to study the evolution of potential vorticity filaments, viewed in cross‐section, subject to steady shear and deformation flows representative of the large‐scale atmospheric circulation. It is found that the balanced, ageostrophic circulation induced by the anomalous potential vorticity can cause the evolution of a dynamically active filament to differ substantially from that of a dynamically passive filament in a similar background flow. It is suggested that estimates of the mix‐down time of material contained in atmospheric filaments need to be corrected to allow for this effect.
Recent Developments in Dividend Policy: Evidence from Indonesia

This study aims to describe the development of dividend policy research in Indonesia. This study analyzes 7 accreditation journals in Indonesia from 2002 – 2017 periods, there are 35 articles discussing dividend policy. We have classified this article based on topics, research methods, models used, and descriptions of research results in Indonesia. The result obtained is mostly published in Jurnal Keuangan dan Perbankan (JKP) 11 articles out of 35 articles. The most of the studied antecedent topics are financial ratios, ownership structures, and capital structures while for the most consequences topic is firm value. Overall, this research uses an analytical method and the measurement of dividend policy most use dividend payout ratio. This research period in the articles ranged from an average of 5,5 years. This research aimed to give perspective about researches that have been done in Indonesia about dividend policy and the research result can be used as a reference for next research or others such as investor and practitioners. JEL Classification : G30, G35 DOI : https://doi.org/10.26905/jkdp.v22i1. 1799