Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnostic Utility of Immunophenotyping by Flow Cytometry for Diagnosis and Classification of Acute Leukemias in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia

Background: Immunophenotypic characterization of acute leukemia is an important clinical application of flow cytometry and has become a powerful tool contributing to proper diagnosis and classification. The aim of this study is to phenotype and classify acute leukemias by flow cytometry using commonly used markers for leukemia diagnosis.Methods: A total of 40 pediatric and adult patients diagnosed with acute leukemia were evaluated by flow cytometry with 17 surface and cytoplasmic markers known to be useful in discriminating different types of acute leukemia. These results were compared with classification results using standard morphological criteria.Results: 21 of 40 patients (52.5%) were classified as acute myeloblastic leukemia (AML) while 19 (47.5%) were identified as acute lymphoblastic leukemia (ALL). Of all the ALL cases, 10 of the 19 (52.6%) were B-ALL and 47.4% (9/19) were T-ALL based on flow cytometry. Markers of immaturity HLA-DR and CD34 antigens were co-expressed in 61% of AML cases and 33% of T-ALL cases, whereas CD34 was expressed in 50% of the B-ALL cases. cMPO and CD13 were the most expressed markers of AML, CD19 and cCD79a were present in all cases of B-ALL, and cytoplasmic CD3 and CD7 were positive on most all T-ALL cases. Discrimination of AML from ALL patients by flow cytometry was 80% concordant with traditional morphology. Notable discrepancies occurred in cases where leukemia cells expressed markers for more than one lineage.Conclusions: In the Ethiopia setting, flow cytometry represents a feasible and promising adjunctive diagnostic approach for acute leukemia.
Growth Strategies for Logistics Service Providers: A Case Study

This article is based on two studies, partly financed by the Norwegian Research Council. The first study was carried out in six organizations cooperating in two supply chain alliances. The purpose of this study was to develop a set of hypotheses concerning logistics service providers and their roles in supply chain alliances. The second study, involved interviews carried out in 12 different logistics organizations, and concerned their perception of future trends and future position. The purpose of this article is to highlight and to describe some of the major findings in the two studies on growth strategies for logistics service providers. We propose a matrix categorizing the players and their strategic position. Given the pressures in the industry and the individual strategic position, the strategic choices in fact are limited, leading to some dominating strategic directions that to a certain extent, also explain the structural changes in the industry.
THE EFFECT OF PRODUCT QUALITY AND DELIVERY SERVICE ON ONLINE-CUSTOMER SATISFACTION IN ZALORA INDONESIA

The number of online transaction in Indonesia has increased in recent years with fashion products currently dominate the e-commerce market as the most frequently purchased products. The aims of this study are to analyze the effects of product quality and delivery service on online-customer satisfaction withdrawing taking online fashion retailer Zalora Indonesia as its research object. This research is causal type of research which uses primary data obtained through questionnaires and uses Multiple Regression Analysis. The population observed is people in Manado who have purchased Zalora Indonesia products online with 100 respondents as the sample size. The result of this study shows that product quality and delivery service have significant effects on online-customer satisfaction. To increase customer satisfaction, the recommendations for online shop owners are to maintain product quality, variety and availability in order to meet customer expectation as well as consistently offer reliable and safe delivery service at promised delivery schedule which encourage repeat purchases. Keywords: customer satisfaction, online shopping, product quality, delivery service
A comparative analysis of DEM‐based models to estimate the solar radiation in mountainous terrain

Daily solar radiation estimates of four up‐to‐date solar radiation models (Solar Analyst, r.sun, SRAD and Solei‐32), based on a digital elevation model (DEM), have been evaluated and compared in a Mediterranean environment characterized by a complex topography. The models' estimates were evaluated against 40 days of radiometric data collected in 14 stations. Analyzed sky conditions ranged from completely overcast conditions to clear skies. Additionally, the role of the spatial resolution of the DEM has been evaluated through the use of two different resolutions: 20 and 100 m. Results showed that, under clear‐sky conditions, the daily solar radiation variability in the study area may be reasonably estimated with mean bias errors under 10% and root mean square error values of around 15%. On the other hand, results proved that the reliability of the estimates substantially decreases under overcast conditions for some of the solar radiation models. Regarding the role of the DEM spatial resolution, results suggested that the reliability of the estimates for complex topography areas under clear‐sky conditions improves using a higher spatial resolution.
Methamphetamine‐Induced Early Increase of IL‐6 and TNF‐α mRNA Expression in the Mouse Brain

The mechanisms by which methamphetamine (METH) causes neurotoxicity are not well understood. Recent studies have suggested that METH‐induced neuropathology may result from a multicellular response in which glial cells play a prominent role, and so it is plausible to suggest that cytokines may participate in the toxic effects of METH. Therefore, in the present work we evaluated the effect of an acute administration of METH (30 mg/kg in a single intraperitoneal injection) on the interleukin (IL)‐1β, IL‐6, and tumor necrosis factor (TNF)‐α mRNA expression levels in the hippocampus, frontal cortex, and striatum of mice. We observed that METH did not induce changes in the IL‐1β mRNA expression levels in both hippocampus and striatum, with immeasurable levels in the frontal cortex. Regarding IL‐6, METH induced an increase in the expression levels of this cytokine in the hippocampus and striatum, 1 h and 30 min post injection, respectively. In the frontal cortex, the increase in IL‐6 mRNA levels was more significant and remained high even after 2 h. Moreover, the expression levels of TNF‐α were increased in both hippocampus and frontal cortex 30 min post METH administration, with immeasurable levels in the striatum. We conclude that the pro‐inflammatory cytokines IL‐6 and TNF‐α rapidly increase after METH administration, providing a new insight for understanding the effect of this drug of abuse in the brain.
Depositor discipline and bank failures in local markets during the financial crisis

This paper investigates the impact of bank failures on the disciplining behavior of depositors during the recent financial crisis. Exploiting the regional dimension of the financial crisis in the United States and the failure of over 400 (mainly local) banks, I document increased discipline by depositors in local banking markets despite the existence of possible distortions such as deposit insurance schemes and bailouts. I find that the sensitivity of depositors to bank risk is stronger in markets that have witnessed failures, and this increase is long-lasting. JEL classification: G21; G28; G01; D03; D83; D84.
Last Words: Computational Linguistics and Deep Learning

Deep Learning waves have lapped at the shores of computational linguistics for several years now, but 2015 seems like the year when the full force of the tsunami hit the major Natural Language Processing (NLP) conferences. However, some pundits are predicting that the final damage will be even worse. Accompanying ICML 2015 in Lille, France, there was another, almost as big, event: the 2015 Deep Learning Workshop. The workshop ended with a panel discussion, and at it, Neil Lawrence said, “NLP is kind of like a rabbit in the headlights of the Deep Learning machine, waiting to be flattened. ” Now that is a remark that the computational linguistics community has to take seriously! Is it the end of the road for us? Where are these predictions of steamrollering coming from? At the June 2015 opening of the Facebook AI Research Lab in Paris, its director Yann LeCun said: “The next big step for Deep Learning is natural language understanding, which aims to give machines the power to understand not just individual words but entire sentences and paragraphs. ”1 In a November 2014 Reddit AMA (Ask Me Anything), Geoff Hinton said, “I think that the most exciting areas over the next five years will be really understanding text and videos. I will be disappointed if in five years’ time we do not have something that can watch a YouTube video and tell a story about what happened. In a few years time we will put [Deep Learning] on a chip that fits into someone’s ear and have an English-decoding chip that’s just like a real Babel fish. ”2 And Yoshua Bengio, the third giant of modern Deep Learning, has also increasingly oriented his group’s research toward language, including recent exciting new developments in neural machine translation systems. It’s not just Deep Learning researchers. When leading machine learning researcher Michael Jordan was asked at a September 2014 AMA, “If you got a billion dollars to spend on a huge research project that you get to lead, what would you like to do? ”, he answered: “I’d use the billion dollars to build a NASA-size program focusing on natural language processing, in all of its glory (semantics, pragmatics, etc.). ” He went on: “Intellectually I think that NLP is fascinating, allowing us to focus on highly structured inference problems, on issues that go to the core of ‘what is thought’ but remain eminently practical, and on a technology
Roles of customer involvement in rapport and satisfaction

Purpose – The study investigates different roles (antecedent, mediator and moderator roles) of customer involvement in rapport and satisfaction. It is also designed to reveal the comparative impact of three types of relational benefits (confidential, social and special treatment benefits) on customer involvement. Design/methodology/approach – Structural equation modeling (using Amos) is used for analyzing the data, collected from a survey of 212 sample respondents of the private commercial banking sector. Findings – Results suggest that customer involvement does have antecedent and mediated influence on rapport-satisfaction link while the moderation impact of customer involvement is not supported. In contrast, social treatment benefit is found as the most important relational benefit for developing customer involvement in Bangladesh followed by confidence and special treatment benefit. Research limitations/implications – Findings will assist bank management to set effective future strategies and to manage.
External and Public Debt Crises

The recent debt crises in Europe and the U.S. states feature similar sharp increases in spreads on government debt but also show important differences. In Europe, the crisis occurred at high government indebtedness levels and had spillovers to the private sector. In the United States, state government indebtedness was low, and the crisis had no spillovers to the private sector. We show theoretically and empirically that these different debt experiences result from the interplay between differences in the ability of governments to interfere in private external debt contracts and differences in the flexibility of state fiscal institutions.
Mind the Gap? Estimating the Effects of Postponing Higher Education

This paper estimates the effects on earnings of “gap years” between high school and university enrollment. The effect is estimated by means of standard earnings functions augmented to account for gap years and a rich set of control variables using administrative Swedish data. We find that postponement of higher education is associated with a persistent and non-trivial earnings penalty. The main source of the persistent penalty appears to be the loss of work experience after studies. The reduction of lifetime earnings associated with two years postponement of higher education amounts to 40-50 percent of annual earnings at age 40.
How e-communities extend the concept of exchange in marketing: An application of the motivation, opportunity, ability (MOA) theory

Customer-to-customer (C2C) know-how exchanges occur in a variety of contexts, including virtual environments of Internet mediated communities. Exchange of know-how that takes place among the customers of an organization's offering has the potential to create customer value and result in positive outcomes for organizations. This study proposes a model that examines key factors that drive C2C exchanges as well as the outcomes of these exchanges. The model shows how C2C exchanges create value for the marketing organization – that is, value over and above the value that the customer receives directly through exchanges with the organization. C2C exchanges are also proposed to enhance loyalty intentions. Viewing C2C know-how exchange as an information source to the customer, the model adapts and applies the motivation, opportunity, and ability (MOA) theory to explain levels of C2C know-how exchange.
Indigenous Practices for Climate Change Adaptation among Rural Households in Imo State, Nigeria

Climate change has been described as among the major challenges of the twenty-first century. However, this trend cannot be completely halted but can only be slowed down through the development and adoption of adaptation practices especially among the rural people whose major source of livelihood is agriculture which is at stake. This paper examined the indigenous practices for climate change adaptation among rural households in Imo State. A multistage sampling procedure was used to select the sample. A total of 108 respondents were used for the study. Descriptive statistics were used in analyzing the data obtained from the study. Results show that a majority (78.3%) of the respondents were aware of climate change while about 40.6% knew a very little about it. The result also shows that the most effective local adaptation practices to climate change in the study area included growing drought-resistant crop varieties (M = 1.14), planting deeper into the soil to avoid heat stress (M = 1.10), increased weeding ( M = 1.29) and changing the timing of land preparation (M = 1.10). Further, the results show that major constraints to Original Research Article Umunakwe et al.; BJAST, 8(1): 67-79, 2015; Article no.BJAST. 2015.187 68 adaptation to climate change in the study area included limited access to improved crop varieties (M = 1.95), high cost of farm labour (M = 1.80), inadequate financial resources to adapt (M = 1.80) and high cost of diversification of enterprise (M = 1.78). The paper recommends the massive involvement of the extension agency and the mass media in climate change adaptation programmes so as to raise the awareness of people on the subject and thus increase their adaptive
A tale of two cities: Analyzing road accidents with big spatial data

With the growing number of Open Data initiatives and the increased volume of related data, new forms of civic engagement are emerging. This engagement leads to novel applications and problem solving approaches. Useful insights derived from exploiting publicly available data and open source tools ultimately result in the enhancement of daily life in our communities. In this paper, we analyze publicly available road accident data for the cities of Fredericton and Laval. A traffic accident data processing and analysis pipeline is built using big data systems and big data spatial frameworks. We present a comparative analysis of traffic accidents in these two cities. Random forest classification models are trained to predict if an accident has casualties. The predictive models are used to provide insights into important factors affecting accidents with fatalities or injuries. Results of the study can be used to establish meaningful safe driving policy suggestions, aid in making emergency dispatch decisions, inform accident management procedures or even assist with urban planning.
Voltage-Dependent Calcium Channels in Plant Vacuoles

Free calcium (Ca2+) in the cytoplasm of plant cells is important for the regulation of many cellular processes and the transduction of stimuli. Control of cytoplasmic Ca2+ involves the activity of pumps, carriers, and possibly ion channels. The patch-clamp technique was used to study Ca2+ channels in the vacuole of sugar beet cells. Vacuolar currents showed inward rectification at negative potentials, with a single-channel conductance of 40 picosiemens and an open probability dependent on potential. Channels were inhibited by verapamil and lanthanum. These channels could participate in the regulation of cytoplasmic Ca2+ by sequestering Ca2+ inside the vacuole.
Market Orientation and Organizational Learning Capabilities

The platform of contemporary marketing thought is founded upon the marketing concept. While there has been much debate about the precise nature of this concept, related discussion concerning its manifestation, in the form of a firm's market orientation, has developed to suggest that it is a feature exhibited by organizations possessing superior skills in understanding and satisfying customer needs. Despite the favourable externalities likely to accrue to an organization that is market oriented, it has been claimed that for a firm to achieve its full potential to learn about the marketplace, instilling a market orientation is only a first principle. While market orientation provides the norms for responding to the marketplace, this needs to be complemented by appropriate mechanisms and processes for higher-order learning to occur. This article examines such a conceptual argument and empirically investigates the relationship between two key constructs: market orientation and organizational learning capabili.
The Effect of Experience Marketing on Brand Attitude and Brand Loyalty of Beauty Salon Franchise Stores

This study examined the relative importance level of experience marketing on brand attitude and brand loyalty in beauty salon franchise stores, and attempted to raise the competitiveness of beauty salon services by presenting this elements as experience marketing strategy directions for beauty salon franchise store management. A questionnaire was used for this study on 350 adults residing in Gwangju Metropolitan City and SPSS 20.0 statistics package was used for analysis. In summary, the results of this study are as follows. First, five factors that make up experience marketing in beauty salon franchise stores were found. They were sensory marketing, relative marketing, emotional marketing, cognitive marketing and behavior marketing. Brand loyalty was categorized into the two factors, attitude loyalty and behavioral loyalty. Also, we found that experience marketing had a statistically positive impact on brand loyalty. Secondly, experience marketing of beauty salon franchise stores was found to have a statistically significant positive effect on brand attitude. Thirdly, we found that the brand attitude of beauty salon franchise stores had a statistically significant positive effect on brand loyalty.
Cardiovascular risk assessment and cholesterol management in adolescents: getting to the heart of the matter

Purpose of review Adolescence is a common time for the identification of cardiovascular disease risk factors, including elevated cholesterol. Guidelines for the detection and treatment of hypercholesterolemia differ for children and adults. This review highlights these differences and discusses special considerations for cholesterol management in the adolescent population. Recent findings Several longitudinal studies have confirmed that the number of cardiovascular risk factors present in adolescence, including elevated cholesterol, lead to atherosclerosis in adults. There is increased awareness that other chronic medical conditions, including diabetes, congenital heart disease, inflammatory diseases, and childhood cancer, can accelerate this process. There is a move to screen and treat more young patients with elevated cholesterol to prevent future cardiovascular disease. New markers of atherosclerosis are being used to quantify cardiovascular disease risk in adolescents in research populations. The safety and efficacy of several interventions, including drug therapy, is increasingly established. Summary Comprehensive cardiovascular risk assessment is important for adolescent health and includes assessment of family history and tobacco use along with measurement of body mass index and blood pressure. Additionally, cholesterol screening is recommended for overweight adolescents or those with an unknown family history and for all patients by the age of 20. Providers caring for adolescents should be familiar with both the pediatric and adult cholesterol screening and treatment guidelines as well as how common adolescent conditions affect cholesterol levels.
Zeta function of representations of compact p-adic analytic groups

Let G be a profinite group. We denote by rn(G) the number of isomorphism classes of irreducible n-dimensional complex continuous representations of G (so that the kernel is open in G). Following [20], we call rn(G) the representation growth function of G. If G is a finitely generated profinite group, then rn(G) < ∞ for every n if and only if G has the property FAb (that is, H/[H, H] is finite for every open subgroup H of G) [1, Proposition 2]. In the case when G is a finitely generated pro-p group, the property FAb is equivalent to the condition that all derived subgroups G are open. In this paper we shall investigate the function
Efek Informasi Asimetri Terhadap Kebijakan Dividen

This research examines the influence of asymmetric information on dividend policy using an alternative explanation of pecking order theory for a sample of manufacturing firms listed on the Jakarta Stock Exchange between 2000 and 2004. The result of the tests indicates that dividends are negatively related to the level of asymmetric information. This finding is consistent with the theory of pecking order but does not provide a support for the signaling theory. Keywords: asymmetric information, dividend, signaling theory, pecking order theory
Signaling with Capital Structure Revisited

We consider a signaling model with a good and a bad type of firm. The market does a priori not know the firm's type. The firms, which are run by equally qualified managers, can use their debt level to signal their true value to the market. In addition to debt, the manager chooses his effort level, which directly affects the firm's product market returns. The effort choice interacts with the signaling mechanism of debt issue and affects the equilibrium debt level. As a result, it is not always possible to derive the type of firm from its capital structure