Miracle-dz/UniFAR-FTUs huggingface dataset:
TDT- An Efficient Clustering Algorithm for Large Database

A lot of side-information is available along with the text documents in online forums. Such side information may be of different kinds, as it may be the links in the document, access behavior from web histories or other non- textual attributes which are embedded into the text document. Such attributes contain huge amount of information for clustering purposes. However, the importance of this side-information is difficult to calculate, mostly when some of the information is noisy. Therefore in these cases it is risky to incorporate side information into the clustering process, because it may either improve the quality of the clustering process, or it can even add some noisy information to it. Therefore, a principled way to perform the clustering process is needed, so as to maximize the advantages from using this side information. And to result the search query efficiently and effectively. An algorithm for text clustering with side- information is described here i.e. COATES Algorithm.
Eccentric torque-velocity relationship of the elbow flexors

This study verified the eccentric torque-velocity relationship of human elbow flexors by considering muscle damage induced in maximal eccentric torque measurements. Twenty subjects (26.4 ± 6.2 yrs) were tested twice, separated by 7 days, for maximal voluntary isometric torque at 90 ◦ (1.57 rad) of elbow flexion (ISO) and isokinetic eccentric torque (ECC) at velocities of 30 ◦ ·s −1 followed by 90 ◦ , 150 ◦ , 210 ◦ ·s −1 , and a repeated 30 ◦ ·s −1 using a range of movement from 60 ◦ to 140 ◦ (180 ◦ : full extension). ISO preceded each ECC measure to assess the effects of muscle damage and/or fatigue on the measures. The difference in ECC at 30 ◦ ·s −1 between the first and second attempts was used to adjust the torque values. The reliability of the measurements was supported by high intra-class correlation coefficient (0.96-0.99) and low coefficient of variation (6.3-9.1%). Peak ECC at all velocities were significantly ( p< 0.05) greater than ISO (14-16%), but no significant differences were evident among velocities. The second ECC at 30 ◦ ·s −1 was significantly ( p< 0.05) lower (∼10%) than the first, and ISO decreased significantly ( p< 0.05) over the measurements (∼10%). Following adjustment, no significant differences in ECC torque among velocities were still evident. It is concluded that eccentric torque is approximately 15% higher than isometric torque without influence of angular velocity for the elbow flexors.
Foreign Aid and Economic Growth in Egypt: A Cointegration Analysis

There is a current and growing debate on the effectiveness of foreign aid, especially in Egypt, as the country is going through a critical period in its transition to democracy. The obvious question is to what extent foreign aid to Egypt will be effective in promoting economic growth. By using Johansen Cointegration test and Vector Error Correction Model (VECM), the paper finds a negative and significant impact of foreign aid on economic growth in the long and short run. It is highly suggested that Egypt must rely upon the indigenous resources to promote development rather depending on external factors.
The nonparametric Fisher geometry and the chi-square process density prior

Author(s): Holbrook, Andrew; Lan, Shiwei; Streets, Jeffrey; Shahbaba, Babak | Abstract: It is well known that the Fisher information induces a Riemannian geometry on parametric families of probability density functions. Following recent work, we consider the nonparametric generalization of the Fisher geometry. The resulting nonparametric Fisher geometry is shown to be equivalent to a familiar, albeit infinite-dimensional, geometric object---the sphere. By shifting focus away from density functions and toward \emph{square-root} density functions, one may calculate theoretical quantities of interest with ease. More importantly, the sphere of square-root densities is much more computationally tractable. This insight leads to a novel Bayesian nonparametric density estimation model. We construct the $\chi^2$-process density prior by modeling the square-root density with a restricted Gaussian process prior. Inference over square-root densities is fast, and the model retains the flexibility characteristic of Bayesian nonparametric models. Finally, we formalize the relationship between spherical HMC in the infinite-dimensional limit and standard Riemannian HMC.
The Human and Drosophila ERH are Functionally Equivalent: Evidence from Transgenic Studies

The enhancer of rudimentary , e(r) , gene encodes a small highly conserved protein, enhancer of rudimentary homolog (ERH), which has been shown to have a regulatory function in cell division, Notch signaling, and cancer progression. Human and Drosophila ERH, both 104 amino acids in length, are 76% identical and 84% similar. The high sequence identity translates into nearly identical tertiary structures. Previous studies on the expression of the human and Drosophila e(r) genes reveal that the two genes are similarly regulated. Data in the present study using an e(r)-eGFP reporter gene confirm these results, showing a high expression of the reporter in the ovaries, testes, and brain. The high structural and regulatory conservation of e(r) and ERH argue that human and Drosophila ERH may be biochemically and functionally equivalent. To test this hypothesis, a chimeric transgene containing the Drosophila e(r) non-coding regions and the human e(r) coding region was constructed and used to establish transgenic Drosophila stocks. This transgene can rescue all of the mutant phenotypes of an e(r) deletion, and Drosophila stocks in which the fly ERH has been replaced with the human ERH are fully healthy and viable. These studies
Transient Stability Assessment of a Power System Using Probabilistic Neural Network

This study presents transient stability assessment of electrical power system using Probabilistic Neural Network (PNN) and principle component analysis. Transient stability of a power system is first determined based on the generator relative rotor angles obtained from time domain simulation outputs. Simulations were carried out on the IEEE 9-bus test system considering three phase faults on the system. The data collected from the time domain simulations are then used as inputs to the PNN in which PNN is used as a classifier to determine whether the power system is stable or unstable. Principle component analysis is applied to extract useful input features to the PNN so that training time of the PNN can be reduced. To verify the effectiveness of the proposed PNN method, it is compared with the multi layer perceptron neural network. Results show that the PNN gives faster and more accurate transient stability assessment compared to the multi layer perceptron neural network in terms of classification results.
Strong Electron-Phonon Coupling Regime in Quantum Dots: Evidence for Everlasting Resonant Polarons

Using far-infrared magnetospectroscopy in self-assembled InAs quantum dots, we have investigated the electronic transitions from the ground s levels to the excited p levels. The experiments consist of monitoring, by means of Zeeman tuning of the excited level, a resonant interaction between the discrete (p, 0 LO phonon) state and the continuum of either (s, 1 LO phonon) or (s, 2 LO phonons). We show that the electrons and the LO phonons are always in a strong coupling regime and form an everlasting mixed electron-phonon mode.
Assessing statistical significance in genome wide association studies

Genome wide association studies (GWAS) hold the promise of unlocking the unknown genetic background of complex diseases, as well as a variety of other human characteristics, from height all the way to behavioral traits, such as cognitive abilities, personality and social attitudes. GWAS rely on the underlying assumption that common diseases and traits, also referred to as phenotypes, are associated with common types of variation in the human genome. The most studied variation is the single nucleotide polymorphism (SNP), which represents a single base change at a specific location in the genome. Such associations can be detected by studying the correlation between the phenotype and the SNPs. These studies also use an important property of SNPs, which is that variants located in close proximity to each other are correlated. This allows researchers to genotype only a subset of all the SNPs, while still reasonably describing the entire set. Finally, GWAS are a hypothesis free method, meaning that all variants are examined for correlation with the trait or disease of interest. Such an approach offers the advantage of possibly shedding light on previously unsuspected biology. In this thesis we have developed a new method for statistical inference in GWAS. Our procedure exploits the specific characteristics of such data to maximize power and reduce the multiple testing burden. Because GWAS use a large number of SNPs which are tested individually against the phenotype, a very high multiple testing correction has to be applied. We propose a model that includes all the SNPs, combined with a data driven hierarchical testing. The SNPs are hierarchically
Atmospheric Conditions during the Deep Propagating Gravity Wave Experiment (DEEPWAVE)

AbstractThis paper describes the results of a comprehensive analysis of the atmospheric conditions during the Deep Propagating Gravity Wave Experiment (DEEPWAVE) campaign in austral winter 2014. Different datasets and diagnostics are combined to characterize the background atmosphere from the troposphere to the upper mesosphere. How weather regimes and the atmospheric state compare to climatological conditions is reported upon and how they relate to the airborne and ground-based gravity wave observations is also explored. Key results of this study are the dominance of tropospheric blocking situations and low-level southwesterly flows over New Zealand during June–August 2014. A varying tropopause inversion layer was found to be connected to varying vertical energy fluxes and is, therefore, an important feature with respect to wave reflection. The subtropical jet was frequently diverted south from its climatological position at 30°S and was most often involved in strong forcing events of mountain waves at t.
Proposal for Adaptive Management to Conserve Biotic Integrity in a Regulated Segment of the Tallapoosa River, Alabama, U.S.A.

Abstract: Conserving river biota will require innovative approaches that foster and utilize scientific understanding of ecosystem responses to alternative river‐management scenarios. We describe ecological and societal issues involved in flow management of a section of the Tallapoosa River (Alabama, U.S.A.) in which a species‐rich native fauna is adversely affected by flow alteration by an upstream hydropower dam. We hypothesize that depleted low flows, flow instability, and thermal alteration resulting from pulsed flow releases at the hydropower dam are most responsible for changes in the Tallapoosa River biota. However, existing data are insufficient to prescribe with certainty minimum flow levels or the frequency and duration of stable flow periods that would be necessary or sufficient to protect riverine biotic integrity. Rather than negotiate a specific change in the flow regime, we propose that stakeholders—including management agencies, the power utility, and river advocates—engage in a process of adaptive‐flow management. This process would require that stakeholders (1) develop and agree to management objectives; (2) model hypothesized relations between dam operations and management objectives; (3) implement a change in dam operations; and (4) evaluate biological responses and other stakeholder benefits through an externally reviewed monitoring program. Models would be updated with monitoring data and stakeholders would agree to further modify flow regimes as necessary to achieve management objectives. A primary obstacle to adaptive management will be a perceived uncertainty of future costs for the power utility and other stakeholders. However, an adaptive, iterative approach offers the best opportunity for improving flow regimes for native biota while gaining information critical to guiding management decisions in other flow‐regulated rivers.
Quantifying the Drivers of International Financial Integration

It is generally accepted that there has been an increase in the degree of international financial integration over the last two decades. As a result, international financial integration has become a topical area of research for many financial economists. To enrich the literature in this area, our paper provides an empirical investigation into identifying the potential “drivers” of international financial integration including policy on capital controls, the level of economic and educational development, economic growth, institutional and legal environment, trade openness, financial development and tax policy. Overall, the results provide strong evidence in support of our choice of drivers of international financial integration.
Some lessons for working with repeated choice data

The vast majority of discrete choice modelling (DCM) applications are now estimated on Stated Preference (SP) data, including, but limited to in the field of transport research. In SP data, each respondent is faced with multiple choice situations, and recognising this repeated choice nature of the data is a crucial modelling issue. With the increasing popularity of the Mixed Multinomial Logit (MMNL) model, most applications now rely exclusively on a random coefficients approach in dealing with the repeated choice nature of the data. Here in turn, the assumption is generally made that tastes vary across respondents, but not across observations for the same respondent. In this paper, we question this assumption and show that it is important to also allow for variation in tastes across replications for the same respondent. Furthermore, the paper shows the benefits of accounting for correlation across replications for the same individual independently of the treatment of taste heterogeneity.
Design and implementation of dual band microstrip patch antenna for WLAN energy harvesting system

─ Since the demand for self-sustained wireless systems is increasing, there is a trend towards RF energy harvesting. It is a key solution to energize the low power systems such as the Internet of Things (IoT) devices without replacing the batteries periodically. This paper presents the design and analysis of RF energy harvesting system that consists of dual-band microstrip patch antenna operating at 2.4 GHz and 5.8 GHz, an impedance matching network, 4-stage voltage doubler and a storing circuit. The antenna is designed using ADS Agilent and sonnet suites software that provides a directivity of 5.5 dBi and 6.3 dBi at 2.4 GHz and 5.8 GHz respectively. The measured results of the fabricated antenna are well agreement with the simulated results. Simulated results show that for an input received power of 10 mW, the proposed system can provide 4.5 mW power at the output of 4-stage voltage rectifier with an overall efficiency of 45%. Index Terms ─ Dual-band, impedance matching, microstrip patch antenna, RF energy harvesting and voltage rectifier.
A Third View of the Black Box: Cognitive Coherence in Legal Decision Making

How do judges and jurors decide cases? Though obviously central to the law, the mental processes for making decisions remain an opaque feature at the heart of legal discourse. For more than a century, views of the process have clustered around two ideal types. One rests on the assumption that legal decisions are the product of rational decision-making processes. According to this "Rationalist" view, legal decisions emanate naturally from prescribed forms of logical inference, namely deductions, inductions, and analogies. Critics, on the other hand, question the veracity of this account and portray the deci-
EFFECT OF CUSTOMER RELATIONSHIP MANAGEMENT ON PERCEIVED ORGANIZATIONAL PERFORMANCE - A CASE STUDY OF FAMILY BANK LIMITED

Customer satisfaction is central to achieving a competitive advantage and should be viewed as an integral part of relationship building that is underpinned by CRM. A defined organizational culture can provide the necessary leadership that ensures that staffs attain high levels of performance. Customer service should be placed in a strategic marketing context, which means that marketers can develop a high quality customer service policy and the organization can put a customer response system in place which ensures that customer service is seen as customer focused. There is an increased need to constantly reengineer business strategies that improve the customer experience and increase profitability for the company. The study sought to determine the effect of customer relationship management (CRM) on the perceived organisational performance with a case of Family Bank Limited. Based on the research topic, the study addressed the research problem by addressing the following research objectives; t o determine the effect of changes in the organizational culture on the perceived organizational performance of Family bank limited, to establish the effect of customer retention strategies on the perceived organizational performance of family bank limited, to determine the effect of technology on the perceived organizational performance of family bank limited, and to establish the effect of service quality management on the perceived organizational performance of family bank limited. The study reviewed related literature under theoretical and empirical review to facilitate in identifying the research gap. The study adopted a descriptive research design to address the research objectives. In this case sampling was done using a systematic random sampling technique to select the participating staff in all the bank branches covered. Data was collected in form of both primary and secondary data. The collected data was analysed using both qualitative and quantitative data analysis techniques using the Statistical Package for Social Sciences (SPSS version 22). The study found out that customer relationship management has a positive effect on the performance of the bank . The study found out that service quality management was the dimension of CRM that affected the performance of the bank to a very great extent. Therefore, the study recommended that there was a need for organizations to have training and development that are directed at building enduring customer relationships. Key Words: Customer Retention, Technology, Service Quality Management, Organizational Culture, Organizational Performance.
Strategic Global Strategy : the intersection of general principles , corporate responsibility and value-added

An ongoing argument often made by business ethicists is that a singular preoccupation on profitability, will lead, in the long run, to disvalue for all the stakeholders and the communities it affects, and often (but alas not always), economic challenges for the company. On the other hand, we argue, a preoccupation with ethics and CSR as the primary aims of a for-profit company, it is, on its own, like a preoccupation with profitability, unsustainable. Indeed, without economic viability, a company will fail. Both of these contentions point to our conclusion that one must take care in Laura P. Hartman is Director of the Susilo Institute for Ethics in the Global Economy, and Clinical Professor in the Department of Organizational Behavior, Questrom School of Business, Boston University, Boston, MA. E-mail: LHartman@depaul.edu. Patricia H. Werhane is an Adjunct Professor at the University of Illinois and Professor Emerita at the University of Virginia and DePaul University, Chicago, IL. E-mail: pwerhane@depaul.edu. Cynthia E. Clark is an Associate Professor of Management and Director at the Bentley Alliance for Ethics and Social Responsibility and at the Harold S. Geneen Institute of Corporate Governance, Bentley University, Waltham, MA. E-mail: cclark@bentley. edu. Craig VanSandt is an Associate Professor at the University of Northern Iowa, David W. Wilson Chair in Business Ethics, College of Business Administration, Cedar Falls, IA. E-mail: craig.vansandt@uni.edu. Mukesh Sud is an Associate Professor at the Indian Institute of Management, Ahmedabad, Gujarat, India E-mail: mukesh.sud@gmail.com. VC 2017 W. Michael Hoffman Center for Business Ethics at Bentley University. Published by Wiley Periodicals, Inc., 350 Main Street, Malden, MA 02148, USA, and 9600 Garsington Road, Oxford OX4 2DQ, UK. Business and Society Review 00:00 00–00 bs_bs_banner
The CAPRI model - an overview with a focus on comparison to GTAP

CAPRI (Common Agricultural Policy Regional Impact) is an agricultural sector model aiming to analyse impacts of changes in EU (or international) agricultural policies on European agriculture and global agricultural commodity markets, typically for 8-10 years ahead. The economic core is a static, partial equilibrium model consisting of four interconnected modules: (1) 280 regional non-linear programming models for EU-27, Norway, Turkey & Western Balkans, (2) a global multi-commodity model for agricultural products, (3) a market model for young animals and, (4) a module handling in detail policy instruments of the Common Agricultural Policy. Each regional model maximises agricultural income at given prices and policy subject to constraints on land, feed and nutrient requirements, covering ~ 50 crop and animal activities. Allocation steering depends on a quadratic cost function, whose parameters are either estimated from time series analysis (Jansson 2007) or calibrated to exogenous elasticities. Different environmental indicators such as nitrogen balances or GHG emissions are calculated from the supply models’ results. The market module differentiates single countries such as the US or aggregates such as LDCs and covers all products of the supply side plus major secondary ones (dairy, cakes & oils). Based on the Armington assumption, it comprises (bilateral) tariffs, TRQs and subsidised exports. It applies flexible functional forms calibrated to elasticities from literature or other modelling systems. CAPRI is solved by sequential iteration of its modules. CAPRI has been expanded since 1999 while being regularly applied in impact assessments, based on its unique combination of regionalised supply models with a global multi-commodity model. Recently, CAPRI was coupled to a spatial down-scaling component for EU27 which estimate the distribution of crop shares, stocking densities and input use at 1x1 km resolution and derives from there different environmental variables.
Screening of polyketide genes from Brazilian Atlantic Forest soil

Soil is a large source of microorganisms with potential to produce bioactive compounds. Since most of them cannot be cultured, metagenomics has become a useful tool in order to evaluate this potential. The aim of this study was to screen biosynthetic polyketide genes (PKS) present in a metagenomic library constructed from a soil sample isolated from the Brazilian Atlantic Forest. The library comprises 5000 clones with DNA inserts between 40 and 50 Kb. The characterization of the biosynthetic gene clusters of these molecules is a promising alternative to elucidate the biotechnological potential of bioactive compounds in microbial communities. The PKS genes were screened using degenerated primers. The positive clones for PKS systems were isolated, and their nucleotide sequences analysed with bioinformatics tools. The screening yielded two positive clones for PKS II genes. Furthermore, variations in the sequences of the PKS II genes from the metagenomic library were observed when compared with sequences of ketosynthases’ databases. With these findings we gain insight into the possible relation between new biosynthetic genes and the production of new secondary metabolites.