Miracle-dz/UniFAR-FTUs huggingface dataset:
Anemia in Patients with Diabetes Mellitus: Prevalence and Progression

Aim: Anemia is found to contribute to the development and progression of micro and macro-vascularcomplications of diabetes. This study aimed to determine the prevalence of anemia in patients with diabetes and the occurrence of micro and macro vascular complications in them. Method: This was a retrospective study of 227 Saudi patients with diabetes regularly followed up as outpatients for one year. Patient's demographic profile, history of stroke, ischemic heart disease (IHD), and concomitant hypertension (HT) along with the most recent values of complete blood picture and renal function tests were collected from the database of the health center. Results: The prevalence of anemia in our study population is 55.5%, which is two to three times more common as compared to the result from previous studies. Anemia was six times more common (53.9%) compared to the previous study for the same GFR value (GFR > 60 mL/min/1.73 m2) and half of them in stage one kidney disease. Conclusion: Anemia is a common accompaniment with diabetes and it is seen early even in the absence of renal impairment which necessitate early screening of anemia and further studies to know the possible etiology.
Compact CPW-fed ZOR antenna for WiMAX applications

In this paper, a compact zeroth-order resonating (ZOR) metamaterial antenna with coplanar waveguide (CPW) feed is presented. The proposed antenna has an impedance bandwidth of 19.82% centered at 3.33 GHz. The proposed structure having smaller electrical size 0.288 λ<sub>0</sub> × 0.186 λ<sub>0</sub> × 0.018 λ<sub>0</sub>, where λ<sub>0</sub> is the free space wavelength at ZOR mode (at f<sub>0</sub> = 3.33 GHz). In addition, antenna offers peak gain of 2.41 dB with radiation efficiency of 95.88% at ZOR frequency. It offers excellent omni-directional radiation pattern in yz-plane and dipolar-type radiation pattern in xz-plane. In order to verify the metamaterial behavior, dispersion diagram has been plotted according to the extracted circuit parameters. The proposed antenna can be suitable to be used for WiMAX (3.3-3.6 GHz) applications.
Covariate Shift Adaptation via Sparse Filtering for High-Dimensional Periodic Data

A common assumption in machine learning is the independence and identical distribution (i.i.d.) of the data samples, which states that training and test samples are independent and drawn from the same probability distribution. Unfortunately, real-world data rarely satisfies this assumption. The covariate shift assumption [10] states that the training data X and test data X are sampled from two multivariate random variables X and X with different distributions p (X) and p (X), while the conditional distribution of labels given the data p (Y |X) is assumed to be the same over training and test data, i.e., p (Y |X) = p (Y |X). A common approach to perform covariate shift adaptation (CSA) is through representation learning: learn a mapping f that projects the training and test data onto new representations Z and Z having similar distributions p (Z) and p (Z), then learn p (Y |Z) using standard machine learning algorithms [2].
An Exploratory Study of Staphylococcus epidermidis Isolates from Environment and Patient Blood Cultures from an Intensive Care Unit

This exploratory study determined the epidemiological characteristics of Staphylococcus epidermidis from near touch sites and blood cultures in one Intensive Care Unit (ICU) between July and October 2009 in a large teaching hospital in Brazil. Five different touch sites around the environment of two different patients were sampled over four days and 24 blood cultures from 24 patients were obtained and analyzed. Isolates from near touch sites and blood cultures were compared by means of the repetitive extragenic palindromic sequence-based polymerase chain reaction (rep-PCR) and analyzed by the unweighted pair-group method with arithmetic mean (UPGMA) (BioNumerics, 6.0). Results found that ciprofloxacin- resistant Staphylococcus epidermidis on stethoscopes, bed rails ( P< . 004), and patient blood cultures indicated similarity (60-65%; IC: 85%). The similarities among near touch sites and patient isolates are unsurprising due to the commensal nature of Staphylococcus epidermidis, however it does emphasize the need for further research into environmental contamination and cleaning.
CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOG BASED RING PARTITIONED MATCHING

Abstract This paper presents a technique to classify the circular traffic sign based-on HOG (histogram of oriented gradients) and a ring partitioned matching. The method divides an image into several ring areas, and calculates the HOG feature on each ring area. In the matching process, the weight is assigned to each ring for calculating the distance of HOG feature between tested image and reference image. The experimental results show that the proposed algorithm achieves a high classification rate of 97.8%, without the need of many prepared sample images. The results also show that the best values of the number of orientation bins and the cell size of the HOG parameters are 5 and 10 x 10 pixels respectively.
Field Emission as Transducer for Sub-micron and Nano Resonators

Mechanical sensors are more sensitive and responsive when they are made smaller. One of the major concerns in the dimensional scaling process however, is the detection limit of the resonator vibrations. Methods that are available in microresonator devices do not always scale well into sub-micron and nanometre regimes; hence alternative detection schemes are needed for the future resonator devices. In this paper we proposed the use of deviations in field emission current to sense the mechanical displacements in resonating cantilevers. We will present the design, the principle and the fabrication results; scalability, feasibility and challenges of the scheme will also be discussed. Currently the use of field emission on cantilever vibration detection has not been reported yet. This detection method can be an alternative technique for sensor transducers and for studying cantilevers in submicron and nanometre scales.
Audio Set Classification with Attention Model: A Probabilistic Perspective

This paper investigates the Audio Set classification. Audio Set is a large scale weakly labelled dataset (WLD) of audio clips. In WLD only the presence of a label is known, without knowing the happening time of the labels. We propose an attention model to solve this WLD problem and explain the attention model from a novel probabilistic perspective. Each audio clip in Audio Set consists of a collection of features. We call each feature as an instance and the collection as a bag following the terminology in multiple instance learning. In the attention model, each instance in the bag has a trainable probability measure for each class. The classification of the bag is the expectation of the classification output of the instances in the bag with respect to the learned probability measure. Experiments show that the proposed attention model achieves a mAP of 0.327 on Audio Set, outperforming the Google's baseline of 0.314.
On smoke suppression of clouds in Amazonia

We use large eddy simulations of smoke‐cloud interactions to demonstrate the relative importance of various factors responsible for cloud suppression in the biomass burning regions of Amazonia. The model includes unprecedented treatment of coupled smoke aerosol‐cloud‐radiative feedbacks in a 3‐dimensional model that resolves scales of ∼100s m. It is shown that the vertical distribution of smoke aerosol in the convective boundary layer is crucial to determining whether cloudiness is reduced; Smoke aerosol emitted at the surface in a daytime convective boundary layer may reduce or increase cloudiness whereas smoke aerosol residing in the layer where clouds tend to form will reduce cloudiness. On the other hand, the reduction in surface latent and sensible heat fluxes associated with biomass burning is sufficient by itself to substantially reduce cloudiness.
Survey on malware evasion techniques: State of the art and challenges

Nowadays targeted malware attacks against organizations are increasingly becoming more sophisticated, damaging, and difficult to detect. Current intrusion detection technologies are incapable of addressing many of the newer malware evasion techniques such as return-oriented programming and remote library injection. This paper presents a survey on the various techniques employed in malware to evade detection by security systems such as intrusion detection and anti-virus software. The evasion techniques we cover include obfuscation, fragmentation and session splicing, application specific violations, protocol violations, inserting traffic at IDS, denial of service, and code reuse attacks. We also discuss mitigations such as sandboxing, session reassembly, data execution prevention, address space layout randomization, control flow integrity, and Windows 8 ROP mitigation. We also compare evasion techniques with an analysis on the sophistication of the attack, challenges or difficulty to detect, and degree of impact.
Molecular taxonomic study of Trichinella spp. from mammals of Russian Arctic and subarctic areas

Analysis of taxonomic affiliation of Trichinella species circulating in the Chukotka Autonomous Region and some subarctic areas of the Russian Federation showed that the representatives of T. spiralis and the Arctic trichinellas - T. nativa (genotype T2) and Trichinella sp. (genotype T6) can be found there. The partial sequences of Coxb (704 bp) of these Arctic Trichinella spp. from Russia differ from Coxb sequences of those genotypes (T2 and T6) deposited in NCBI GenBank (1-3 bp). The cultivated larvae of Trichinella sp. , which were established from muscular tissue sample of stray cat (shot on the fur farm in Chukotka peninslula) differ at molecular level (Coxb) even more significantly; 21-24 bp difference between Trichinella sp. and T. nativa and 46-47 bp difference between the same isolate and T. spiralis were recorded.
Independent Multicasting in Wireless Mesh Networks

Multicast in wireless networks received a lot of attention, from ad-hoc networks, to structured multi-hop meshes. However, the support of the standard Protocol Independent Multicast (PIM) protocol has been dismissed as non important (or non feasible), given that its straightforward application on wireless networks does not work properly. In this work we analyse the reasons why PIM standard implementations interacts badly with wireless networks and propose simple countermeasures that do not require modifications of the standard, but only small modifications of the implementation. The Dense Mode version of PIM is implemented in ns-3 and results are presented showing the performance of the protocol and its overheads in mesh networks with fixed mesh routers and both fixed and mobile end-user clients.
Asking employees “the ultimate question”: Developing the Employee Promoter Score

The Employee Promoter Score is a new metric, derived from the Net Promoter Score that is already used in various surveys measuring the well-being of employees. In this article the Employee Promoter Score will be developed by (1) testing the construct-validity of the concept and relating it to loyalty and other related constructs and (2) identifying the HPWPs most prominent in influencing this score. This is done using (1) validated surveys send out to three nursing and home care organizations (124 respondents) and (2) benchmarkdata from 108 nursing and home care organizations in the Netherlands (56.657 respondents). It was found that the Employee Promoter Score mostly is a measure of whether or not employees are affectively committed to the organization. Next to this, the Employee Promoter Score also shows high correlations with person-organization fit (positive) and intention to leave (negative). Atmosphere in the workplace was mostly influencing the score. If there is more collegiality, people are proud to work for the organization and employees laugh a lot, the Employee Promoter Score rises. Vision and ambition, leadership and an acceptable level of workload are also important when rising the score as an organization, which means more affectively committed employees in the organization.
Assessment of Population Structure and Genetic Diversity of 15 Chinese Indigenous Chicken Breeds Using Microsatellite Markers

The genetic structure and diversity of 15 Chinese indigenous chicken breeds was investigated using 29 microsatellite markers. The total number of birds examined was 542, on average 36 birds per breed. A total of 277 alleles (mean number 9.55 alleles per locus, ranging from 2 to 25) was observed. All populations showed high levels of heterozygosity with the lowest estimate of 0.440 for the Gushi chickens, and the highest one of 0.644 observed for Wannan Three-yellow chickens. The global heterozygote deficit across all populations (FIT) amounted to 0.180 (p<0.001). About 16% of the total genetic variability originated from differences between breeds, with all loci contributing significantly to this differentiation. An unrooted consensus tree was constructed using the Neighbour-Joining method and pair-wise distances based on marker estimated kinships. Two main groups were found. The heavy-body type populations grouped together in one cluster while the light-body type populations formed the second cluster. The STRUCTURE software was used to assess genetic clustering of these chicken breeds. Similar to the phylogenetic analysis, the heavy-body type and light-body type populations separated first. Clustering analysis provided an accurate representation of the current genetic relations among the breeds. Remarkably similar breed rankings were obtained with all methods.
Providing augmented reality based education for students with attention deficit hyperactive disorder via cloud computing: Its advantages

Providing education for students with attention deficit hyperactive disorder (ADHD) is a challenge. These students need a special approach compared to normal students. They are known to have limited attention span and easily distracted. One way information sharing where an instructor is the source of information is not suitable for them. A learning module that can simulate their interest and catch their attention is needed to ensure an effective learning session. Research shows that usage of augmented reality (AR) in education receives positive feedback from students and teachers. Students are excited on the interactive aspect of AR and the freedom for them to explore the subject of study within a safe environment. On the other hand positive responses are received from educators on the effectiveness of AR based module in supporting learning sessions. AR allows the virtual object and real world to coexist, allowing the object of study such as atomic structure to be brought to life, thus, breaking the boundary of space and time. This enhances the students understanding and memory. Cloud computing technology enables a location independent computing where the computing resources, software, and data are stored in the cloud. This provides more efficient information sharing among global internet users. Our project aims to provide AR based courseware for ADHD students so that a better education can be provided for them. We would also like to explore the possibility of providing this courseware via cloud computing, thus allowing it to be reach by wider target group and solving the issue of storage capacity. Hence this paper is looking into this issue.
PERFORMANCE EVALUATION OF MANET ROUTING PROTOCOLS ON THE BASIS OF TCP TRAFFIC PATTERN

The primary objective of this research work is to study and review the behaviour of AODV, DSR and DSDV routing protocols of MANET. In this paper, we will first discuss the various MANET routing protocols and various studies done on the performance evaluation of mobile Ad-hoc network (MANET). Here, we will study the performance of MANET routing protocols based on TCP traffic patterns. We also analyzed the performance of AODV, DSR and DSDV protocols for TCP traffic pattern on the basis of Packet Delivery Ratio, Throughput and Jitter.
Computational aspects of the marginal loss allocation methods for distribution systems with distributed generation

This paper highlights some specific aspects concerning the computational techniques for performing distribution system loss allocation including the impact of the distributed generation. The aspects addressed include the approximations related to the nearly-quadratic dependence of the total losses on the load power and the treatment of the voltage-controllable local generation. Examples showing the time evolution of the loss allocation coefficients with variable load and generation patterns are provided
Behaviour of Reactive Energy Meters in Polluted Power Systems

The reactive energy meters used in electric distribution networks are based on a conventional definition of reactive energy (or power) for sinusoidal voltages and currents, containing only the fundamental frequency component. As a consequence, the performances of reactive energy meters in the presence of harmonic distortion are not tested and their accuracy specifications can be very different from the nominal ones, that are evaluated in sinusoidal conditions. In this paper the authors present a comparative study of the performances of different reactive energy meters, both electromechanical and static, in the presence of harmonic distortion; the study is supported by several simulations and experimental tests.
High spatial resolution radar using thinned arrays

The structure and size of a phased array antenna defines the beam pattern and the resultant spatial resolution of the radar. Often an exceedingly large number of radiating elements are required to synthesize a given array aperture in order to enhance the ability of the radar to unambiguously distinguish closely spaced targets. Classical random array theory provides tools for thinning of huge arrays without spatial aliasing, but at the cost of high sidelobe levels and unstable performance. Traditional beamforming and classical numerical methods (such as MUSIC and ESPRIT) cannot accurately estimate direction-of-arrival (DoA) for thinned arrays. In this paper, we employ a spatial compressed sensing (SCS) framework for accurate DoA estimation by a randomly thinned phased array. For the first time, we also sparsify a phased array-MIMO hybrid and suggest preferred thinning methods for the hybrid that uses non-overlapping subarrays. We estimate DoA for these arrays using the recently proposed multi-branch matching pursuit (MBMP) algorithm. Numerical experiments show MBMP outperforms classical beamforming and orthogonal matching pursuit by several orders of DoA recovery error.
M E ] 2 1 Se p 20 13 LOGISTIC BIPLOT FOR NOMINAL DATA

Abstract Classical Biplot Methods allow for the simultaneous representation of individuals (rows) and variables (columns) of a data matrix. For Binary data, Logistic biplots have been recently developed. When data are nominal, linear or even binary logistic biplots are not adequate and techniques as Multiple Correspondence Analysis (MCA), Latent Trait Analysis (LTA) or Item Response Theory for nominal items should be used instead. In this paper we extend the binary logistic biplot to nominal data. The resulting method is termed Nominal Logistic Biplot, although the variables are represented as convex prediction regions rather than vectors. Using the methods from Computational Geometry, the set of prediction regions is converted to a set of points in such a way that the prediction for each individual is established by its closest “category point”. Then interpretation is based on distances rather than on projections. We study the geometry of such a representation and construct computational algorithms for the estimation of parameters and the calculation of prediction regions. Nominal Logistic Biplots extend both MCA and LTA in the sense that gives a graphical representation for LTA similar to the one obtained in MCA.
Performance of Water Management Institutions in Farmer-Managed Irrigation Schemes in Iringa Rural and Kilombero Districts, Tanzania

Over-use or mismanagement of water can occur when institutions fail to meet various users’ demand. This study evaluate the extent to which water management institutions are effective and legitimate in governing water allocation and distribution in Farmer-Managed Irrigation Schemes in Iringa rural and Kilombero Districts, Tanzania. Institutional performance was evaluated using Ostrom’s eight design principles or indicators. Findings indicate that there is significant associations between scheme type (traditional and semi-improved irrigation) and clearly defined boundaries of resource and of appropriators; participation in decision making; collective action and conflict resolution mechanisms. Clearly defined boundaries of resource and users rights’, congruence between appropriation and provision rules and local conditions and fair representation in water decision making bodies principles seemed to perform better in the semi-improved irrigation schemes. The traditional schemes seem to have a better grip on monitoring, legitimate sanctions, collective actions and conflict resolution mechanisms that are swift and low-cost efficient. Limited (39%) involvement of farmers in water decisions created a sense of dispossession leading to negative attitudes towards a new water management institution. This study underscores the importance of local water users? participations in water management decision bodies in order to come up with effective, cost efficient and legitimate formal institutions. Formalization of any water management institutional interventions by policy makers should build on the existing informally established regulations and take into account local conditions.
Discussion Paper No . 436 For-Profit Search Platforms

We consider optimal pricing by a profit-maximizing platform running a dynamic search and matching market. Buyers and sellers enter in cohorts over time, meet and bargain under private information. The optimal centralized mechanism, which involves posting a bid-ask spread, can be decentralized through participation fees charged by the intermediary to both sides. The sum of buyers’ and sellers’ fees equals the sum of inverse hazard rates of the marginal types and their ratio equals the ratio of buyers’ and sellers’ bargaining weights. We also show that a monopolistic intermediary in a search market may be welfare enhancing.
Semi-hyperbolicity and hyperbolicity

We prove that for $\mathcal{C}^1$-diffeomorfisms semi-hyperbolicity of an invariant set implies its hyperbolicity. Moreover, we provide some exact estimations of hyperbolicity constants by semi-hyperbolicity ones, which can be useful in strict numerical computations.