Miracle-dz/UniFAR-FTUs huggingface dataset:
SERO-PREVALENCE OF CHLAMYDIA TRACHOMATIS IN STI PATIENTS

BACKGROUND: Chlamydia trachomatis is the leading cause of sexually transmitted infections (STIs). Chlamydial infections, if undiagnosed and untreated can result in irreversible sequelae. Infected patients serve as a reservoir of infection to their partners. The present study was designed to determine the prevalence of genital Chlamydia and its association with bacterial flora in STI patients attending STI clinics. METHOD: Genital discharge specimens (Endocervical, Vaginal) and Blood from 226 patients were collected as per standard procedures. Isolation and Identification of bacterial flora was carried out by conventional methods. Patients were investigated for the presence of antigen and antibody of chlamydia trachomatis with Immunochromatographic assay (Biomerieux) and ELISA (Novatech, Germany) respectively. RESULTS: Of 226 patients, 'Inclusion bodies' were found in 69/226 (30.53%) patients by Giemsa staining. Chlamydia trachomatis was found to be most commonly associated with Candida albicans (29.41%). Of 180 samples, 102/180 (55.66%) were positive for IgG by ELISA. Of 50 samples, 07/50 (14%) were positive for Chlamydia trachomatis antigen by immunochromatographic assay. Results of both the test were evaluated. CONCLUSION: Though tissue culture is gold standard, serological assays are much simpler, sensitive and rapid methods for detection of Chlamydia trachomatis. Co-infection of Chlamydia with other STIs highlights the importance of early laboratory diagnosis and specific treatment.
SURI: Feature Selection Based on Unique Relevant Information for Health Data

Feature selection, which identifies representative features in observed data, can increase the utility of health data for predictive diagnosis. Unlike feature extraction, such as PCA and autoencoder based methods, feature selection preserves interpretability, meaning that it provides useful information about which feature subset is relevant to certain health conditions. Domain experts, such as clinicians, can learn from these relationships and use this knowledge to improve their diagnostic abilities. Mutual information (MI) based feature selection (MIBFS) is a classifier-independent approach that attempts to maximize the dependency (i.e., the MI) between the selected features and the target variable (label). However, implementing optimal MIBFS via exhaustive search with high-dimensional data can be prohibitively complex. As a result, many MIBFS approximation schemes have been developed in the literature. In this paper, we take another step forward by proposing a novel MIBFS method called Selection via Unique Relevant Information (SURI). We first quantify the unique relevant information (URI) present in each individual feature and use it to boost features with high URI. Via experiments on 6 healthcare data sets and 3 classifiers, we observe that SURI outperforms existing MIBFS methods, with respect to standard classification metrics. Furthermore, using a low-dimensional data set, we investigate optimal feature selection via exhaustive search and confirm the important role of URI, further verifying the principles behind SURI.
A Pixel-Based Framework for Data-Driven Clothing: Appendices

It is important to note that that we do not assume a oneto-one mapping between the cloth texture coordinates and the body texture coordinates; rather, we need only a mapping from the cloth texture space to the body texture space (invertibility is not required). This allows for the ability to handle more complex real-life clothing such as the collars of shirts and jackets, which would naturally be embedded to the shoulder/chest areas on the body causing them to overlap with other parts of the same garment (and/or other garments). See for example Figure 1.
An improved 1-φ rectifier system using fuzzy logic control with 3-φ variable frequency drive

A 3-Φ VFD steam fed from a 1-Φ AC supply. To stop more stresses in the components within the drive and within the input supply, the drive output power should be restricted. To beat this problem, several VFD makers decided that drive to be de-rated. As often as possible, the drive’s output frequency is limited, supported the dc voltage ripple hence the DC capacitors aren’t overstressed. Through the tradio-nal technique decrement of strain within the DC Capacitors, it doesn’t consider the stresses in other parts of the drive, particularly the diodes at the input and terminal blocks of input. During this paper, brand new fuzzy controller based technique for the protection of the drive the motor current with FLC is projected. The motor current is shown to possess info relating the stresses in numerous ele-ments of the VFD together with the diodes at the input, terminal blocks of the input, and therefore the Dc capacitors. The o/p power is projected to be restricted by decreasing the o/p frequency supported the avg and ripple abundancy of the quadrature axis current rather than the dc voltage ripple. To prove this conception, a comparison is made between fuzzy logic controller based technique employing a less power VFD fed from a 1-Φ ac, and the conventional dc voltage ripple based frequency technique.
COPS AND ROBBERS : PUTATIVE EVOLUTION OF COPPER OXYGEN-BINDING PROTEINS

atmosphere changed from anaerobic to aerobic as oxygenic photosynthetic organisms evolved. Organisms had to develop different strategies to handle a final product of photosynthesis, dioxygen (O2), as well as its highly reactive derivatives, superoxide anions, hydrogen peroxide and hydroxyl radicals. Several enzymes, such as superoxide dismutase, catalase and peroxidase, evolved that protected the organisms. A particular class of protein, the copper oxygen-binding proteins (COPs), is of special interest, since organisms used these proteins to help harness oxygen. Primitive COPs eventually developed multiple functions. COPs may first have become robbers in the form of phenoloxidases to keep the amount of free dioxygen low. The enzymatic action of phenoloxidase robs free dioxygen of its molecular status, inserting one of the oxygen atoms into a phenol and releasing the other as water. As organisms became larger and circulatory systems evolved in multicellular organisms, COPs along with iron oxygen-binding proteins became oxygen-transport proteins, storing dioxygen and moving it from places of high concentration to places of low concentration within the body. Thus, organisms used COPs both to protect themselves against the highly reactive atmospheric dioxygen and to utilize this energy source. These considerations are supported by two recent observations that may also provide new insight into the evolutionary strategies by which organisms deal with dioxygen. During the past few years, several sequences of phenoloxidases (EC 1.14.18.1, tyrosinase) from arthropods have been published which reveal that the phenoloxidases are related to the arthropod haemocyanins (Aspan et al., 1995; Fujimoto et al., 1995). During the same period, haemocyanins from arthropods and molluscs, well-known as oxygen-transport proteins, were shown to function as phenoloxidases under some conditions (Zlateva et al.: First, a monophenol is orthohydroxylated (monophenol oxidase activity), and the resulting o-diphenol is then oxidized to an o-quinone (catecholase activity) (Fig. 1). As a result of this reaction, one oxygen of the bound dioxygen is incorporated (Mason, 1955). Thus, the enzyme is an oxygenase as well as an oxidase. The phenoloxidase reaction is found in fungi and plants as well as in animals: phenoloxidase is involved in wound healing, in skin pigmentation and in the browning of fruits and vegetables (Prota, 1992; van Gelder et al., 1997). The reaction is thought to protect plants and animals against intruders by forming melanin to encapsulate the intruders or to create an impervious scab In insects, phenoloxidase initiates sclerotization of the new exoskeleton after moulting. In all cases, monophenolic derivatives such …
C 3 KG: A Chinese Commonsense Conversation Knowledge Graph

Existing commonsense knowledge bases often 001 organize tuples in an isolated manner, which is 002 deficient for commonsense conversational mod- 003 els to plan the next steps. To fill the gap, we cu- 004 rate a large-scale multi-turn human-written con- 005 versation corpus, and create the first Chinese 006 commonsense conversation knowledge graph 007 which incorporates both social commonsense 008 knowledge and dialog flow information. To 009 show the potential of our graph, we develop 010 a graph-conversation matching approach, and 011 benchmark two graph-grounded conversational 012 tasks. All the resources in this work will be 013 released to foster future research. 014
A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI

ABSTRACT Voxel functional magnetic resonance imaging (fMRI) time courses are complex-valued signals giving rise to magnitude and phase data. Nevertheless, most studies use only the magnitude signals and thus discard half of the data that could potentially contain important information. Methods that make use of complex-valued fMRI (CV-fMRI) data have been shown to lead to superior power in detecting active voxels when compared to magnitude-only methods, particularly for small signal-to-noise ratios (SNRs). We present a new Bayesian variable selection approach for detecting brain activation at the voxel level from CV-fMRI data. We develop models with complex-valued spike-and-slab priors on the activation parameters that are able to combine the magnitude and phase information. We present a complex-valued EM variable selection algorithm that leads to fast detection at the voxel level in CV-fMRI slices and also consider full posterior inference via Markov chain Monte Carlo (MCMC). Model performance is illustrated through extensive simulation studies, including the analysis of physically based simulated CV-fMRI slices. Finally, we use the complex-valued Bayesian approach to detect active voxels in human CV-fMRI from a healthy individual who performed unilateral finger tapping in a designed experiment. The proposed approach leads to improved detection of activation in the expected motor-related brain regions and produces fewer false positive results than other methods for CV-fMRI. Supplementary materials for this article are available online.
The Role of Privacy Violations in Privacy Calculus

—We report a survey study (N=140), assessing various privacy violations that mobile users have experienced, in particular those related with locational privacy. We evaluate the impact of such violations on perceived risks and beneﬁts on usage of location-based applications. Most participants report having experienced some kind of privacy violations; in particular, 75% report having experienced inappropriate data collection, and 74% report having received bothersome location-based adverts. Our results suggest that having experienced privacy violations, in particular location-based adverts, might lead to feeling that risks from using location-based applications outweigh the beneﬁts, and have a direct inﬂuence on the usage frequency of location-based applications. Our results highlight that locational adverts are not seen as beneﬁcial by the users and may create discomfort, even hindering the adoption of LBS. Nevertheless, the overall beneﬁts of LBS seem to outweigh the risks.
FACULTY OF INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING

Given an uncontrolled image dataset, there are several approaches to reconstruct the geometry of the scene and very few for reconstructing the texture. We analyze two different state of the art fully integrated texture reconstruction frameworks to generate a textured scene. Shan et al.’s approach [1] uses a shading model inspired by Computer Graphics rendering to formulate the scene and compute the texture. Texture is stored as albedo reflectance parameter per vertex for each color channel. Waechter et al. [2] uses a two-stage approach, first stage where a view is selected for each face and second stage where global and local adjustments are performed to smooth out seam visibility between patches. Both approaches have their own occlusion removal stage. We analyze these two drastically different approaches under different conditions. We compare the input images and rendered scenes from the same angle. We discuss about occlusion removal in an unconstrained image dataset. We modify the shading model proposed by Shan et al. to solve for a controlled indoor scene. The analysis shows the advantages of either approaches on specific conditions. The patch based texture reconstruction provides a visually appealing scene reconstructed in a considerable time. The vertex based texture reconstruction has a complex model providing us the framework to solve for lighting and environment conditions under which the images are captured. We believe that these two approaches provide fully integrated frameworks that reconstruct the scene for both geometry and texture from an uncontrolled image data set despite all the inherent challenges in a reasonable time.
Molecular characterization of infectious bronchitis virus isolates from Russia and neighbouring countries: identification of intertypic recombination in the S1 gene

Infectious bronchitis virus (IBV) isolates recovered in Russia, Ukraine, and Kazakhstan between 2007 and 2010 were subjected to molecular characterization and compared with those isolated a decade ago. The IBV genome was detected in 202 out of 605 field samples from chickens with various clinical signs. Partial sequencing of the S1 gene revealed 153 vaccine strains and 49 field isolates of several genetic groups. Massachusetts, 793/B and D274 remained the predominant IBV genotypes along with QX, whereas B1648, Italy-02, Arkansas and variants accounted for about 12% of the total number. Three IBVs contained recombinant S1 gene sequences comprising genome fragments of QX-type field isolates and vaccine strains H120 (UKR/02/2009) or 4/91 (RF/03/2010), and vaccine strains H120 and D274 (RF/01/2010). The results of the present study showed a significant decline in prevalence of variant IBVs and a further spread of QX-type isolates in commercial chicken flocks in Russia as compared with the 1998 to 2002 data.
From Clear to DKIST: advancing solar MCAO from 1.6 to 4 meters

The MCAO pathfinder Clear on the 1.6-meter Goode Solar Telescope has been enabling us to advance solar MCAO from early conceptual demonstrations to science grade wide-field image correction. We report on recent improvements to the control loop and we comment on issues such as the co-aligning of wavefront sensors and deformable mirrors and the sensitivity of wavefront sensor gains. Further, we comment on the challenges to wavefront sensing and the control system architecture faced when scaling up to a 4-meter aperture. Finally, we present an early concept of the future MCAO upgrade for the Daniel K. Inouye Solar Telescope.
Codimension two cycles in Iwasawa theory and elliptic curves with supersingular reduction

A result of Bleher, Chinburg, Greenberg, Kakde, Pappas, Sharifi and Taylor has initiated the topic of higher codimension Iwasawa theory. As a generalization of the classical Iwasawa main conjecture, they prove a relationship between analytic objects (a pair of Katz's $2$-variable $p$-adic $L$-functions) and algebraic objects (two"everywhere unramified'' Iwasawa modules) involving codimension two cycles in a $2$-variable Iwasawa algebra. We prove a result by considering the restriction to an imaginary quadratic field $K$ (where an odd prime $p$ splits) of an elliptic curve $E$, defined over $\mathbb{Q}$, with good supersingular reduction at $p$. On the analytic side, we consider eight pairs of $2$-variable $p$-adic $L$-functions in this setup (four of the $2$-variable $p$-adic $L$-functions have been constructed by Loeffler and a fifth $2$-variable $p$-adic $L$-function is due to Hida). On the algebraic side, we consider modifications of fine Selmer groups over the $\mathbb{Z}_p^2$-extension of $K$. We also provide numerical evidence, using algorithms of Pollack, towards a pseudo-nullity conjecture of Coates-Sujatha.
Distributed flocking for disturbed multiple unicycle systems under directed topologies

This paper investigates the flocking problem for multiple unicycle systems in the presence of heterogenous input disturbances under directed topologies. Adaptive compensators are employed to eliminate the effect of disturbances. Based on the constructed potential functions, a class of novel distributed dynamic control algorithms are designed to implement flocking with connectivity preservation and collision avoidance with strongly connected directed graphs. It is noted that the proposed controller has released the constraints for connectivity preservation by only maintaining a minimum strongly connected directed graph in the initial topology. With the proposed methodology, the initial graph is allowed to contain those edges at boundary distances. Two illustrative examples are presented to demonstrate the effectiveness of the actuator involved in this paper.
Low‐Density Parity‐Check Codes

We presenta tutorial overview of low-densityparity-check(LDPC) codes.As the namesuggests, LDPC codesareblock codesdefinedby a parity-checkmatrix that is sparse.They werefirst proposedin 1962by Gallager[1][2], alongwith an elegant iterative decodingschemewhosecomplexity grows only linearly with block length. Despite their promise, LDPC codeswere largely forgotten for several decades, primarily becausethe computersat the time were not powerful enoughto exploit them.In 1995they wererediscoveredby MacKayandNeal [3], sparkinga flurry of further research.Today the value of LDPC codes is widely recognized.Their remarkableperformanceensuresthat they will not be forgottenagain. In contrastto many codes that were invented well after 1962, LDPC codesoffer both better performanceand lower decodingcomplexity. In fact, it is an irregular LDPC code (with block length107) thatcurrentlyholdsthedistinctionof beingtheworld’s bestperforming rate-1⁄ 2 code,outperformingall other known codes,and falling only 0.04 dB short of the Shannon limit [4].
Impact of perceived organisational support on job performance among healthcare professionals

The study examined the impact of perceived organisational support on in-role performance and extra performance towards supervisors, co-workers and patients. A cross-sectional survey was conducted among medical officers and staff nurses working in primary health centres of Tamilnadu. From the results, it is found that perceived organisational support showed a positive impact of on in-role performance and extra role performance. It is found the extra role performance towards patients is greater compared to other job performance measures. The results of the study emphasise the public health department has to identify and reward substantial performers and review welfare policies that are perceived to be unattractive by healthcare professionals.
An Instance Transfer-Based Approach Using Enhanced Recurrent Neural Network for Domain Named Entity Recognition

Recently, neural networks have shown promising results for named entity recognition(NER), which needs a number of labeled data to for model training. When meeting a new domain (target domain) for NER, there is no or a few labeled data, which makes domain NER much more difficult. As NER has been researched for a long time, some similar domain already has well labeled data(source domain). Therefore, in this paper, we focus on domain NER by studying how to utilize the labeled data from such similar source domain for the new target domain. We design a kernel function based instance transfer strategy by getting similar labeled sentences from a source domain. Moreover, we propose an enhanced recurrent neural network (ERNN) by adding an additional layer that combines the source domain labeled data into traditional RNN structure. Comprehensive experiments are conducted on two datasets. The comparison results among HMM, CRF and RNN show that RNN performs better than others. When there is no labeled data in domain target, compared to directly using the source domain labeled data without selecting transferred instances, our enhanced RNN approach gets improvement from 0.8052 to 0.9328 in terms of F1 measure.
Prime-valent arc-transitive basic graphs with order 4 p or 4 p 2

A graph Γ is called G -basic if G is quasiprimitive or bi-quasiprimitive on the vertex set of Γ , where G ≤ AutΓ . In this paper, we complete the classification of r -valent arc-transitive basic graphs with order 4p or 4p , where p and r are odd primes.
Calcul de vibrations non linéaires de micro/nano-structures piézoélectriques stratifiées par modèles réduits avec correction quasi-statique

On s'interesse dans ce travail au calcul de vibrations de structures avec non linearites geo-metriques par la methode des elements finis. On cherche a determiner les regimes vibratoires periodiques du systeme pour obtenir une cartographie de son comportement en fonction d'un parametre de controle, comme par exemple la frequence d'excitation, ou pour calculer ses modes non lineaires. Pour reduire les temps de calcul, la taille du modele est reduite par un approche modale. Dans cet article, on cherche a tester les techniques classiques d'enrichissement de base par ajout de modes quasi-statiques, et notamment a les etendre au cadre non lineaire. Des exemples sur des micro/nano poutres stratifiees piezoelectriques sont proposes.
Elastic theory of pseudomorphic monoclinic and rhombohedral heterostructures

We calculate analytically the strain tensor for epitaxial, pseudomorphic heterostructures of arbitrary growth plane for monoclinic and rhombohedral crystals. As numerical examples, we treat heterostructures from sesquioxides, namely, monoclinic (Ga-rich) (Al,Ga) 2O 3 on β-Ga 2O 3 and rhombohedral (Al-rich) (Al,Ga) 2O 3 on α-Al 2O 3 using realistic material parameters. We predict the strains in laboratory and crystal coordinates and derive properties such as lattice constants and tilt of lattice planes for comparison with X-ray data. Our theory also applies to any higher symmetric structure such as orthorhombic, tetragonal, cubic, and hexagonal heterostructures.We calculate analytically the strain tensor for epitaxial, pseudomorphic heterostructures of arbitrary growth plane for monoclinic and rhombohedral crystals. As numerical examples, we treat heterostructures from sesquioxides, namely, monoclinic (Ga-rich) (Al,Ga) 2O 3 on β-Ga 2O 3 and rhombohedral (Al-rich) (Al,Ga) 2O 3 on α-Al 2O 3 using realistic material parameters. We predict the strains in laboratory and crystal coordinates and derive properties such as lattice constants and tilt of lattice planes for comparison with X-ray data. Our theory also applies to any higher symmetric structure such as orthorhombic, tetragonal, cubic, and hexagonal heterostructures.