Miracle-dz/UniFAR-FTUs huggingface dataset:
The Financial Performance of MFIs in Albania

Abstract This documents aims to study the progress of the development of two operational structures, it MFIs and SMEs in our country. In this context, this research analyzed the progress and development financial institutions (MFIs) and their impact on the promotion and development of SMEs in Albania. Through performance evaluation of leading MFIs operating in our country, it is examining the potential opportunity and the role they play in increasing the profitability of SME's. The financial industry is considered more important seeing that they contribute to the economic development of the country. As MFIs seek self ongoing funding would successfully realize their business, they should be very careful in the administration of resources through evaluation of financial activity indicators. Analysis of the financial statements of MFIs regulated by special laws and supervised by the Bank of Albania. Analysis of financial and economic indicators of an MFI done through an analysis known as CAMEL reports. CAMEL reports are used as a more efficient decision-making tool for assessing the performance of financial institutions to anticipate the future and their risk. To realize the full information required CAMEL evaluation of data from financial statements, information on operational activity, etc. macroeconomic information. MFIs develop internal and accounting procedures and internal control mechanisms to identify, record and monitor all potential exposure to them. Bank of Albania, in case of failure to meet its obligations and requirements apply supervisory measures, preventive and punitive provided by law. Seen under this perspective, we must qualify for MFIs that have taken in the study are faced restrictions on their financial statements. So with the data available we will try to estimate the financial reports for each IMF review (FED Invest SCA, BESA Found, NOA, Vision Fund Albania, and FAF) and the total system of MFIs in Albania. These results are generated through an empirical analysis of IMFs in Albania and broke the are-consistent with the theory.
Serologic Response to Treatment in Syphilis

Serologic monitoring is the way to determine adequate treatment response, which is typically defined as a fourfold decline in Rapid Plasma Reagin (RPR) or Veneral Disease Research Laboratory (VDRL) titer within 6 months of treatment for patients with primary or secondary syphilis and within 12 months of treatment for patients with early latent syphilis. Studies documented close to 100% rate seroreversion 1 -2 years after penicillin treatment, depending on the stage of syphilis and duration of symptoms. HIV co-infection has several effects on the presentation, diagnosis, disease progression, and therapy of syphilis. Unusual syphilis serologic titers have been reported in HIV-infected patients, with either unexpected high or low titer, as well as delayed serologic response at the time of diagnosis. There are several studies concerned to syphilis serological treatment response comparing HIV-infected and HIV-negative patients. Some studies reported a slower serological response in HIV infected patients. A recent study showed that the use of high active antiretroviral therapy (HAART) and the routine use of macrolides for the prevention of opportunistic infections may reduce syphilis serologic failure rates among HIV-infected patients who have syphilis. Penicillin G, administered parenterally, is the preferred drug for treating all stages of syphilis (French et al., 2009; Workowski & Berman, 2010). Treatment failure can occur with any regimen. Assessing response to treatment frequently is difficult, and definitive criteria for cure or failure have not been established. According to the CDC guidelines recommendations, clinical and serologic evaluation should be performed 6 months and 12 months after treatment of patients with primary or secondary syphilis; more frequent evaluation might be prudent if follow-up is uncertain. Patients who have signs or symptoms that persists or recurs or who have sustained fourfold increase in nontreponemal test titer probably failed treatment or were reinfected. The latent syphilis is not transmitted sexually; the objective of treating patients with this stage of disease is to prevent complication. Quantitative nontreponemal serologic tests should be repeated at 6, 12, and 24 months for followup. Limited information is available concerning clinical and serological follow-up of patients who have tertiary syphilis. HIV-infected persons should be evaluated clinically and serologically for treatment failure at 3, 6, 9, 12, and 24 months after therapy (Workowski & Berman, 2010). Usually, treatment failure cannot be distinguished from reinfection with T. pallidum; in these cases a CSF analysis is recommended.
Research on selecting the credit evaluation indexes to the project managers in construction enterprises

Evaluation index system is the basis of evaluating the credit of project managers in construction enterprises. To evaluate the credit of project managers in construction enterprises scientifically and normatively, the affecting elements of the project manager's credit was comprehensively analyzed, and by analyzing the subjection and correlativity of the indexes according to the sample data, the qualitative and quantitative credit evaluation index system was finally established based on the characteristics of construction project management. There is some directive significance on the credit evaluation of project managers for construction enterprises and credit rating organizations.
The Impact of Service Climate and Job Satisfaction on Service Quality in a Higher Education Platform

This study examines service climate and service quality through the mediating impact of job satisfaction within a tertiary education level in Bangladesh. The sample size of the study consisted of 140 faculty-members from four different private universities of Dhaka city and a structured questionnaire was designed to assess the service quality of higher education. Several statistical methods such as t-test, correlations and multiple-regression were used to analyze the data. The study discloses that the overall service climate has a significant positive impact on service quality. Finally, the study reveals that job satisfaction is partially mediating between service climate and service quality. This paper makes an outstanding empirical contribution by incorporating service climate and job satisfaction and exploring their relationships with service quality in the context of higher education. The overall results of this study would be valuable to the planners to formulate the pragmatic strategies for ensuring service quality through service climate and job satisfaction of faculty-members in the private tertiary level institutions. This is one of the rare empirical studies in this sector, and thus represents a unique contribution to the literature.
KNOWLEDGE MANAGEMENT, SOCIAL LEARNING, AND OPTIONS TO LEARN

Knowledge plays an important role in firm decision making as it involves the selection of technological systems and understanding and executing technologies that are implemented. Knowledge management therefore is a learning behavior which is undertaken to acquire additional knowledge and improve the firm’s profit capacity. The core elements of knowledge management involve i) the learner, to whom the learning behavior is attributed, ii) the learning process, which consists of acquiring information and processing information to additional knowledge, and iii) the learning outcome, which is what we obtain from knowledge management. This research study focuses on the firm decision maker as the learner while the learning outcome is the updated knowledge base playing an important role in the firm’s decision making. The learning process, where the learner obtains additional knowledge, has two phases. In the information acquisition phase, the decision maker acquires internal information by managing the internal data from past experience (for example, learningby-doing), and/or acquires the external information by communicating with others via social learning activities (e.g., conversation, cooperation, and collaboration). On the other hand, the knowledge updating phase involves the use of a learning mechanism translating the collected information into additional useful knowledge feeding into the existing knowledge base. This research addresses i) how the learner (the firm decision maker) learns and seeks to formalize the learning process, ii) how the decision maker chooses among different knowledge management schemes, and iii) how social learning behavior reflects on
Computational methods for de novo assembly of next-generation genome sequencing data. (Méthodes de calcul pour assemblage de novo de nouvelle génération des techniques de séquençage du génome)

In this thesis, we discuss computational methods (theoretical models and algorithms) to perform the reconstruction (de novo assembly) of DNA sequences produced by high-throughput sequencers. This problem is challenging, both theoretically and practically. The theoretical difficulty arises from the complex structure of genomes. The assembly process has to deal with reconstruction ambiguities. The output of sequencing predicts up to an exponential number of reconstructions, yet only one is correct. To deal with this problem, only a fragmented approximation of the genome is returned. The practical difficulty stems from the huge volume of data produced by sequencers, with high redundancy. Significant computing power is required to process it. As larger genomes and meta-genomes are being sequenced, the need for efficient computational methods for de novo assembly is increasing rapidly. This thesis introduces novel contributions to genome assembly, both in terms of incorporating more information to improve the quality of results, and efficiently processing data to reduce the computation complexity. Specifically, we propose a novel algorithm to quantify the maximum theoretical genome coverage achievable by sequencing data (paired reads), and apply this algorithm to several model genomes. We formulate a set of computational problems that take into account pairing information in assembly, and study their complexity. Then, two novel concepts that cover practical aspects of assembly are proposed: localized assembly and memory-efficient reads indexing. Localized assembly consists in constructing and traversing a partial assembly graph. These ingredients are implemented in a complete de novo assembly software package, the Monument assembler. Monument is compared with other state of the art assembly methods. Finally, we conclude with a series of smaller projects, exploring concepts beyond classical de novo assembly.
Measures of performance for the portfolio management

The paper aims to supply some synthetic measures for the assessment of a set of human resources simultaneously involved in a projects portfolio. In particular, on the base of an index obtained by means of the Earned Value Analysis (EVA) and expressing the resource performance on each project of the portfolio, the research offers some performance measures for the generic resource with relation to the entire projects portfolio. Different aggregations that permit to consider different decisional contexts, derived from the Ordered Weighted Averaging operator (OWA), are proposed with the aim to offer a global assessment of the resource. These measures make easier the understanding of the resources performance in the different projects and support the decision maker about the changes to be carried out to improve the performances of the projects. The tool will be implemented into the A.T. I.P.I.CO. platform, that constitutes the final objective of an industrial research project. Finally, the effectiveness of the aggregation operator is shown by means of a numerical example.
Acquisition of High-Risk Human Papillomavirus Infection in a Population-Based Cohort of Danish Women

Background: Human papillomavirus (HPV) is the cause of cervical cancer. To better understand the natural history of HPV, we assessed the incidence of type-specific HPV infection and examined risk factors for acquisition of high-risk (HR) HPV infection in Danish women. Methods: A population-based prospective cohort study of women aged 20 to 29 years was conducted. Participants were interviewed and underwent 2 gynaecological examinations 2 years apart. Women for whom Hybrid Capture 2 results were available at both visits were included in the analysis (n = 7454). Results: A HR HPV infection was acquired by 12.8% of the women during follow-up. The incidence decreased with increasing age. The commonest types were HPV16, HPV31, and HPV52. HPV66, HPV58, and HPV53 were mainly acquired with other HR types. Multiple HR types were acquired in 50% of the women who became HPV-positive during follow-up. In initially HPV-negative women age, number of sexual partners, and oral contraceptive use were the main risk factors for acquisition, particularly of multiple HR HPV types. Conclusions: HPV infections were commonly acquired. We confirmed the sexually transmitted nature of the infection. Our findings show that both the level of potential exposure and other behavioral factors increase the risk for HR HPV acquisition.
Analysis of Influencing Mechanism of Banking Market Structure on Industrial Structural Upgrading

The change of banking market structure may finally influence of development of various industries via guiding the allocation of capital resources among industries. Based on panel data model and SYS-GMM estimation, this paper surveyed the influence of change of Chinese banking structure on industrial structural adjustment and then further explored the influencing mechanism in it. The result showed that, under overall samples, the increased proportion of non-state-owned banks in China not only is beneficial to the reasonable development of industrial structure, but also can promote advanced development; banking structure will influence the rationalization as well as optimization of Chinese industrial structure through technological progress and financing restraint looseness. The influencing mechanism of technological progress is positive while the influencing mechanism of financing restraint looseness on rationalization as well as optimization is in the opposite.
Estimating the cost-effectiveness of fluticasone propionate for treating chronic obstructive pulmonary disease in the presence of missing data.

OBJECTIVES To explore the cost-effectiveness of fluticasone propionate (FP) for the treatment of chronic obstructive pulmonary disease (COPD), we estimated costs and quality-adjusted life-years (QALYs) over 3 years, based on an economic appraisal of a previously reported clinical trial (Inhaled Steroids in Obstructive Lung Disease in Europe [ISOLDE]). METHODS Seven hundred forty-two patients enrolled in the ISOLDE trial who received either FP or placebo had data available on health-care costs and quality of life over the period of the study. The SF-36-based utility scores for quality of life were used to calculate QALYs. A combined imputation and bootstrapping procedure was employed to handle missing data and to estimate statistical uncertainty in the estimated cumulative costs and QALYs over the study period. The imputation approach was based on propensity scoring and nesting this approach within the bootstrap ensured that multiple imputations were performed such that statistical estimates included imputation uncertainty. RESULTS Complete data were available on mortality within the follow-up period of the study and a nonsignificant trend toward improved survival of 0.06 (95% confidence interval [CI]-0.01 to 0.15) life-years was observed. In an analysis based on a propensity scoring approach to missing data we estimated the incremental costs of FP versus placebo to be 1021 sterling pound(95% CI 619-1338 sterling pound) with an additional effect of 0.11 QALYs (CI 0.04-0.20). Cost-effectiveness estimates for the within-trial period of 17,700 sterling pound per life-year gained (6900 sterling pound to infinity) and 9500 sterling pound per QALY gained (CI 4300-26,500 sterling pound) were generated that include uncertainty due to the imputation process. An alternative imputation approach did not materially affect these estimates. CONCLUSIONS Previous analyses of the ISOLDE study showed significant improvement on disease-specific health status measures and a trend toward a survival advantage for treatment with FP. This analysis shows that joint considerations of quality of life and survival result in a substantial increase in QALYs favoring treatment with FP. Based on these data, the inhaled corticosteroid FP appears cost-effective for the treatment of COPD. Confirmation or refutation of this result may be achieved once the Towards a Revolution in COPD Health (TORCH) study reports, a large randomized controlled trial powered to detect mortality changes associated with the use of FP alone, or in combination with salmeterol, which is also collecting resource use and utility data suitable for estimating cost-effectiveness.
Comparative Analysis of Gaussian Process Regression Based Extreme Learning Machine

It is an effective way to overcome the randomization sensibility of extreme learning machine (ELM) by using Gaussian process regression (GPR) to optimize the output-layer weights. The key of GPR based ELM (GPRELM) is the selection of kernel function which is used to measure the similarity between different hidden-layer output vectors. In this paper, we conduct an experimental analysis to compare the classification performances of radial basis function (RBF) kernel and polynomial (Poly) kernel based GPRELMs. The comparative results on 24 UCI data sets reveal that: (1) GPRELMs have the serious over-fitting; (2) GPRELMs can get the better classification accuracies with less hidden-layer nodes in comparison with the original ELM; and (3) the smaller regularization factors usually bring about the higher training accuracies for GPRELMs, while the larger regularization factors usually result in the higher testing accuracies. All these conclusions provide the useful enlightenments and instructions for the theoretical studies and practical applications of GPRELMs.
Detecting the Probability to Conduct First Seasoned Equity Offerings in Indonesia Capital Market

: his study aims to examine the factors surrounding the IPO that affect the probability of First Seasoned Equity Offerings (FiSEO). Tests were conducted to prove whether the probability of FiSEO influenced by the first trading day stock return in accordance with the signaling theory. Examination was done using logistic regression, with a cut-off based on the median years of conducting FiSEO (3 years). Companies that do FiSEO equal to or less than 3 years were given a score of 1 and the others were 0 The number of samples was 128 public companies in the Indonesian capital market from 1990 to 2013. The results show that the first trading day stock return measured by market adjusted initial return had significant negative effect on the probability FiSEO , This shows the higher the money left on the table the smaller the probability of FiSEO less than 3 years, due to the good quality companies tend to do FiSEO over 3 years. These results are consistent with signaling theory (Welch, 1996), that stated the better the quality of the company, the greater the level of underpricing, and the longer the return to capital markets for FiSEO. Also assessed the effect of profitability and firm age on the probability of FiSEO as proxy for other theories other than the signaling theory.
Real time implementation of feedback linearizing controllers for magnetic levitation system

In this paper, different tracking control schemes are studied for magnetic levitation system. An input-output linearization feedback controller is designed by incorporating integral gain in feedback path that makes the error more symmetrical and provides very good tracking performance. The previously proposed input-output linearization feedback controller with state feedback gains only, generates non symmetrical error when implemented on the real time system. Pole placement technique is used to calculate the feedback gains by linearizing nonlinear system. A sliding mode controller and PID controller are also implemented for comparison. Control schemes are simulated and satisfactory results are achieved. Finally, a real time implementation of the controllers is carried out for experimental verification and comparison of these designed schemes.
Cooperating Teams and Competing Reward Strategies: Incentives for Team Performance and Firm Productivity

Managers and executives from 257 organizations completed mailed surveys investigating relationships among reward strategies, task interdependence, team performance, and firm productivity. All measures attained at the firm level. As expected, firms that based employee rewards on either personal or collective output tended to demonstrate higher levels of productivity. Output-based reward strategies had no direct relationships, however, with team performance. Also as expected, task interdependence moderated the relationship between rewards based on human capital and team performance. Team performance was highest when firms with complex task interdependence used human capital strategies to reward employees.