Miracle-dz/UniFAR-FTUs huggingface dataset:
Aspirin deprescribing in patients on oral anticoagulation for atrial fibrillation or venous thromboembolism: A national survey of clinician practices

Concomitant use of oral anticoagulation (OAC) and aspirin increases bleeding risk without decreasing thromboembolic events compared with OAC monotherapy. Weak guideline recommendations and limited data exist for deprescribing aspirin for primary prevention or stable coronary artery disease in patients already on OAC for atrial fibrillation (AF) or venous thromboembolism (VTE).
Underdetermined joint blind source separation with application to physiological data

Blind Source Separation (BSS) methods have been attracting increasing attention for their promising applications in signal processing. Despite recent progress on the research of BSS, there are still remaining challenges. Specifically, this dissertation focuses on developing novel Underdetermined Blind Source Separation (UBSS) methods that can deal with several specific challenges in real applications, including limited number of observations, self/cross dependence information and source inference in the underdetermined case. First, by taking advantage of the Noise Assisted Multivariate Empirical Mode Decomposition (NAMEMD) and Multiset Canonical Correlation Analysis (MCCA), we propose a novel BSS framework and apply it to extract the heart beat signal form noisy nano-sensor signals. Furthermore, we generalize the idea of (over)determined joint BSS to that of the underdetermined case. We explore the dependence information between two datasets and propose an underdetermined joint BSS method for two datasets, termed as UJBSS2. In addition, by exploiting the cross correlation between each pair of datasets, we develop a novel and effective method to jointly estimate the mixing matrices from multiple datasets, referred to as Underdetermined Joint Blind Source Separation for Multiple Datasets (UJBSS-M). In order to improve the time efficiency and relax the sparsity constraint, we recover the latent sources based on subspace representation when the mixing matrices are estimated. As an example application for noise enhanced signal processing, the proposed UJBSS-M method also can be utilized to solve the single-set UBSS problem when suitable noise is added to the observations. Finally, considering the recent increasing need for biomedical signal processing in the ambulatory environment, we propose a novel UBSS method for removing electromyogram (EMG) from Electroencephalography (EEG) signals.
Optimum Ensemble Classification for Fully Polarimetric SAR Data Using Global-Local Classification Approach

In this paper, a proposed ensemble classification for fully polarimetric synthetic aperture radar (PolSAR) data using a global-local classification approach is presented. In the first step, to perform the global classification, the training feature space is divided into a specified number of clusters. In the next step to carry out the local classification over each of these clusters, which contains elements of several classes, a base classifier is trained. Thus, an ensemble of classifiers has been formed which each of them acts professionally in a part of the feature space. To achieve more diversity, the data set is independently partitioned into variable number of clusters by classifier and K-means algorithm. To combine outputs of different arrangements, majority voting, Naive Bayes and a heuristic combination rule with taking into account the classification accuracy and reliability (which in PolSAR classification less attention has been paid to it) as objective functions, are used. The experimental results over two PolSAR images prove effectiveness of the proposed algorithms in comparison to the baseline methods.
The dynamics of vortical perturbations in viscoelastic shear flows

Polymer additives have a striking impact on vortical motions in transitional and fully turbulent flows. Coherent structures which are familiar from Newtonian dynamics are altered in both strength and size while new, elasto-inertial phenomenology also emerges. In this work three canonical problems are used to explain the formation and evolution of particular flow structures in terms of the coupling between vorticity and polymer torque. Viscoelastic streak amplification is investigated first by forcing laminar Couette flow with a row of streamwise rolls. The streak response is shown to be determined by the ratio of the polymer relaxation time to the disturbance diffusion timescale in the solvent. When the timescales are disparate, quasi-Newtonian and elastic dynamics can be distinguished. When the timescales are commensurate, the fluid supports the propagation of vorticity waves whose reflection and superposition result in spanwise-travelling streaks which reenergise cyclically. In the second problem the receptivity of viscoelastic Couette flow to surface roughness on the lower wall is examined. The vorticity response is classified using a phase diagram, which is parameterised by the ratios of the channel depth and of the vorticity waves’ critical layer depth to the wavelength of the surface waviness. In shallow flows the bulk streamline distortion matches the topography of the lower wall, while large vorticity fluctuations are contained in an upper-wall solvent boundary layer. In deep channels, vorticity fluctuations are generated by a kinematic amplification mechanism at the critical layer. Finally, the evolution of a weak Gaussian vortex in a viscoelastic shear flow is computed to examine the dynamics of spanwise vorticity. Vorticity wave propagation along the tensioned mean streamlines causes the vortex to split into two as it is reoriented by the background flow. In addition, the analysis identifies the existence of a ‘reverse-Orr’ mechanism, whereby the vorticity amplifies as structures are tipped forward with the shear. The vorticity-polymer torque framework provides a unifying framework for studying these coherent motions. It also provides a grounding for understanding more complex, multiscale flows, such as elastic and inertial turbulence at lowand high-Reynolds numbers.
Chemical composition and antibacterial property of Eclipta prostrata (L.) L.

Eclipta prostrata (L.) L. belonging to the Astearaceae family has been long used worldwide by various communities as a traditional medicine. We studied the antibacterial activity of different extracts from Eclipta prostrata (L.) L. against Aeromonas hydrophila, Aeromonas dhakensis, and Vibrio parahaemolyticus . The processing of this extract using repeated column and thin layer chromatographic techniques resulted in the isolation of three compounds including luteolin (1), kaempferol (2), and kaempferol-3-O-α-L-rhamnopyranoside (3), which were identified by NMR. Among them, kaempfreol-3-O-α-L-rhamnopyranoside was isolated for the first time and shows good antibacterial activity against Aeromonas hydrophila which is major pathogen for the aquaculture industry. The results demonstrate the beneficial effects of E. prostrata as an antimicrobial and bioactive compound for medicinal usages.
Analysis and Simplex-type Algorithms for Countably Infinite Linear Programming Models of Markov Decision Processes.

Analysis and Simplex-type Algorithms for Countably Infinite Linear Programming Models of Markov Decision Processes by Ilbin Lee Chair: Marina A. Epelman and H. Edwin Romeijn The class of Markov decision processes (MDPs) provides a popular framework which covers a wide variety of sequential decision-making problems. We consider infinite-horizon discounted MDPs with countably infinite state space and finite action space. Our goal is to establish theoretical properties and develop new solution methods for such MDPs by studying their linear programming (LP) formulations. The LP formulations have countably infinite numbers of variables and constraints and therefore are called countably infinite linear programs (CILPs). General CILPs are challenging to analyze or solve, mainly because useful theoretical properties and techniques of finite LPs fail to extend to general CILPs. Another goal of this thesis is to deepen the limited current understanding of CILPs, resulting in new algorithmic approaches to find their solutions. Recently, Ghate and Smith (2013) developed an implementable simplex-type algorithm for solving a CILP formulation of a non-stationary MDP with finite state space. We establish rate of convergence results for their simplex algorithm with a particular pivoting rule and another existing solution method for such MDPs, and compare empirical performance of the algorithms. We also present ways to accelerate their simplex algorithm. The class
An interior proximal linearized method for DC programming based on Bregman distance or second-order homogeneous kernels

Abstract We present an interior proximal method for solving constrained nonconvex optimization problems where the objective function is given by the difference of two convex function (DC function). To this end, we consider a linearized proximal method with a proximal distance as regularization. Convergence analysis of particular choices of the proximal distance as second-order homogeneous proximal distances and Bregman distances are considered. Finally, some academic numerical results are presented for a constrained DC problem and generalized Fermat–Weber location problems.
Distribution of groundnut (Arachis hypogaea L.) root rot complex and associated pathogens in eastern Ethiopia

Groundnut root rot is a complex disease affecting the crop production worldwide. The objectives of this study were to: (1) Assess the occurrence and distribution of groundnut root rot complex in four main groundnut-growing areas of eastern Ethiopia; (2) Identify the major pathogens associated with groundnut root rot complex; and (3) Determine the role of pathogens singly and in combination on root rot severity of groundnut under greenhouse conditions. A total of 240 groundnut fields were surveyed over two seasons, and 75% of the fields were infected with root rot complex. Mean percent disease prevalence and incidence were highest in Babile, followed by Gursum, while Darolebu had the lowest. Fusarium oxysporum (Fo) was the most common fungus isolated from infected groundnut roots, followed by Fusarium solani ( Fs ) and Rhizoctonia bataticola ( Rb ). Other fungi less frequently isolated included Sclerotium rolfsii ( Sr ) and Rhizoctonia solani ( R s). The pathogenicity test showed that all isolated fungi were pathogenic to groundnut, with Fs being the most virulent in causing root rot, followed by Rb and Fo , while Sr and Rs were less pathogenic. Disease severity was higher on plants co-inoculated with Fo , Fs and Rb than with either alone. The Fs ,
Motivation and Performance of Staff in Universities In Uganda

The study examined the effect of motivation on the performance of university staff in Uganda. Specifically, the study established: the effect of monetary incentives on the performance of university staff in Uganda, the effect of organizational climate on the performance of university staff in Uganda, and the effect of recognition on the performance of university staff in Uganda. The study adopted a cross-sectional descriptive study design with only quantitative approaches. The sample size for the study was 313 university staff from both public and private universities in Uganda. The items/constructs used in this research were measured on a five-point Likert Scale. Kaiser-Meyer-Olkin Measure of Sampling Adequacy, factor analysis, and principle component analysis was used to extract the appropriate constructs of the study. A multiple linear regression model was used to examine the effect of predictor variables on the outcome variable. The findings revealed that monetary incentives had a positive and significant effect on the performance of university staff in Uganda (B=0.200, P-Value (0.001) <0.05). The findings indicated that organizational climate had a significant positive effect on the performance of university staff in Uganda (B=0.161, P-value (0.007) <0.05). Lastly, findings revealed that recognition had a significant and positive effect on the performance of university staff in Uganda (B=0.200, P-value (0.000)< 0.05). The study concludes that monetary incentives, organizational climate, and recognition play an instrumental role in influencing the performance of university staff in Uganda. The universities are recommended to design a well-structured and fair reward system that includes monetary incentives, such as performance-based bonuses, salary increments, and benefits that align with individual and organizational goals.
The Stability of the Chitosan Coating on Polyester Fabric in the Washing Process

The sensitivity of chitosan to environmental conditions and processing conditions can stress its structure and cause degradation of this polymer on various application carriers. The stability of chitosan in a designed textile structure of standard polyester fabric with chitosan was analysed in a multiple washing process with a standard detergent by studying the properties before and after 10 washing cycles. The chitosan was coated on standard and alkali treated polyester fabrics. Washing was performed with an ECE A reference detergent at 60 °C according to the Standard protocol HRN EN ISO 6330 in 10 cycles. The washing stability of chitosan onto polyester fabrics was monitored by a staining test, zeta potential, breaking force, breaking elongation, pilling propensity, touch, whiteness, moisture transport, antimicrobial activity and morphological features. The staining test confirmed the wash stability of chitosan coated on alkali hydrolised polyester fabrics, while the chitosan coated on standard polyester fabric disappeared. Zeta potential proved to be the significant parameter for determining chitosan` stability. The tensile properties of fabric samples were harmonised with other characterisation parameters. Coating of polyester fabric with chitosan increased the elasticity of all samples. The antimicrobial activity of polyester fabrics coated with chitosan against Staphylococcus aureus was reduced by 20% after 10 washing cycles. All the characterisation parameters proved that polyester fabric as a chitosan carrier should be surface modified for designing a stable bioactive textile structure of chitosan and polyester.
IQC analysis of reset control systems with time-varying delay

ABSTRACT The study of input–output stability of reset control systems with time-varying delay is addressed in this work. The time-varying function that defines the delay is assumed to be bounded on magnitude and variation. This approach also covers the particular case of constant time delay, but it is studied separately to obtain less conservative results. After proposing a convenient loop transformation, the stability analysis is performed by means of the integral quadratic constraint framework. Then by applying the Kalman–Yakubovich–Popov lemma, easily checkable conditions in form of linear matrix inequalities are obtained. To conclude, some numerical examples are provided illustrating the proposed criteria.
Validating the C i 5052.17 Å/Mg ii 4481 Å Equivalent Width Ratio as a Diagnostic for F-type Lambda Boo Stars

The Lambda Boo-type stars are chemically peculiar stars with deficiencies of iron-peak elements but near-solar C, N, O, and S abundances. Since the prototype Lambda Boötis was first reported as peculiar, this group has been expanded from a small group of early A-type stars to a larger group of late B to early F-type dwarfs. Although a detailed abundance analysis that supports the Lambda Boo-like abundance pattern is the definitive confirmation of this Lambda Boo characteristic, the rapid rotation of many Lambda Boo stars generally limits how much detail can be derived from an abundance analysis. Traditionally, Lambda Boo candidates have been classified by visually examining the difference between their spectra and spectra of standard stars. Therefore, some ambiguity remains especially for mild or borderline Lambda Boo stars. This is the third paper in a series that establishes a straightforward yet reliable way to identify Lambda Boo-type stars. In previous papers, we identified line equivalent width (EW) ratios in the ultraviolet and visible regions that can distinguish Lambda Boo stars from other metal-weak stars. In this paper, we apply the visible line EW ratio diagnostic to 25 Lambda Boo candidates and carry out a detailed abundance analysis of HD 81290, an F2 star with a C i/Mg ii EW ratio in the range expected for Lambda Boo-type stars. Our elemental abundance analysis results confirm HD 81290's Lambda Boo membership and demonstrate the utility of our EW ratio as a diagnostic for cooler F-type Lambda Boo stars.
Examining Perceived Organizational Support and Teacher Empowerment

This study aimed to investigate influence of perceived organizational support (POS) and teacher empowerment on teacher organizational commitment with job satisfaction as mediating construct. Study conducted on Institut Agama Islam Negeri (IAIN) Pontianak, west Borneo, Indonesia. Participant are teacher student on professional education and training program/Pendidikan Profesi Guru (PPG) at Institut Agama Islam Negeri Pontianak. Questionnaire used for collecting data. Findings reveal that the influence of perceived organizational suport (POS) on organizational commitment (OC) are not signifikan, but became positive significant while job satisfaction as mediating variable. perceived organizational suport (POS) positively predict job satisfaction. Islamic educational institutions are advised to increase teacher job satisfaction, because it relates to their organizational commitment to educational institutions.
Modelling the dependence of order statistics and nonparametric estimation.

In this thesis we consider the modelling of the joint distribution of order statistics, i.e. random vectors with almost surely ordered components. The first part is dedicated to the probabilistic modelling of order statistics of maximal entropy with marginal constraints. Given the marginal constraints, the characterization of the joint distribution can be given by the associated copula. Chapter 2 presents an auxiliary result giving the maximum entropy copula with a fixed diagonal section. We give a necessary and sufficient condition for its existence, and derive an explicit formula for its density and entropy. Chapter 3 provides the solution for the maximum entropy problem for order statistics with marginal constraints by identifying the copula of the maximum entropy distribution. We give explicit formulas for the copula and the joint density. An application for modelling physical parameters is given in Chapter 4.In the second part of the thesis, we consider the problem of nonparametric estimation of maximum entropy densities of order statistics in Kullback-Leibler distance. Chapter 5 presents an aggregation method for probability density and spectral density estimation, based on the convex combination of the logarithms of these functions, and gives non-asymptotic bounds on the aggregation rate. In Chapter 6, we propose an adaptive estimation method based on a log-additive exponential model to estimate maximum entropy densities of order statistics which achieves the known minimax convergence rates. The method is applied to estimating flaw dimensions in Chapter 7
Process Performance and Functional Microbial Community in the Anaerobic Digestion of Chicken Manure: A Review

Anaerobic digestion is one of the most widely used treatment methods for animal manure. Chicken manure has high methane production potential and is thus a suitable substrate for biogas plants. However, high nitrogen content inhibits the metabolism of anaerobic microorganisms and thus hinders methane production from chicken manure. Enhancing the performance of anaerobic digestion for chicken manure is indeed a long-standing challenge. This review presents new insights into maintaining methanogens’ activities, the decomposition of acetate, and the dynamics of methanogenic pathways under high ammonia stress. This review also analyzed the possible strategies for alleviating ammonia inhibition effects, including supplementing trace elements, co-digestion with nitrogen-less materials, in-situ ammonia removal, and long adaptation of anaerobic consortia to ammonia stress. The insights obtained in this paper may provide helpful information for a better understanding of anaerobic digestion technology for chicken manure and other nitrogen-rich waste and wastewater.
The Effect of Anxiety Level on Speaking Ability: Psycholinguistic Analysis

Psycholinguistics has contributed to numerous theories that explain how a person acquires language, produces and uses spoken and written language. Without adequate English language skills, BSI students will face fundamental problems in their studies, especially in class discussions. A descriptive study was conducted to describe the problems faced by Bina Sarana Informatika (BSI) students during class discussions. This study uses a qualitative method design. A total of 3 students who took part in this study were from the BSI English Department. This study collected data using semi-structured interviews. From the results of the research conducted, there were findings of several causes of mistakes made when students were talking, including children who feels anxious when speaking during discussions. Elements of this error can be classified based on the realm of psychology. The causes of mistakes that have feelings of anxiety and worry are related to the affective domain.
Efficient way of implementing the random and GM (Gauss-Markov) mobility model in MANET

In Mobile Adhoc Network (MANET) nodes are communicating each other with the help of routing protocol. In Adhoc networks, a node having high mobility, with that node’s moving randomly from node to node. For observing the movement mobility, we are studying different forms of mobility. These models can deploy the mobility of the network condition, including the various parameters such as the size of the network, traffic models of data, throughput and the PDR (Packet Delivery Ratio) are used as performance Parameters. We are investigating the RWP (Random Waypoint) and GM (Gauss-Markov) mobility model to express efficiency of Adhoc routing protocol by using the OMNET++ simulator . The result of the simulator shows that the mobility has more influence upon MANET protocol with the increasing node density. Here, we evaluated RWP and GM mobility model with AODV protocol. The study of these models illustrates dissimilar outcomes related inputs with the increasing performance of the pause time rises among the speed and number of nodes.
How Self Control and Situational Pressure Influence the Tendency to Receive Gratification: An Experimental Study

This study aimed to produce empirical evidence on tendency differences to accept gratuities between individuals with a high level of self-control and a low level of self-control, the conditions are the presence or absence of situational pressure. The method used is an experiment with a 2x2 factorial design. A total of 136 officers and staff in the Directorate General of State Bali region become research participants. The data were processed with statistical parametric, two-way ANOVA. The results showed that individuals with high levels of self-control have a lower tendency to accept gratuities than participants with lower levels of self-control. However, this study did not obtain empirical evidence indicating situational pressures experienced by the individual can affect the tendency to accept gratuities. Interaction hypothesis testing showed that the interaction between the individual levels of self-control and situational pressures experienced affects the tendency to accept gratuities.