Miracle-dz/UniFAR-FTUs huggingface dataset:
Recognition via consensus of local moments of brightness and orientation

This study combines two useful methods in recognition: consensus or voting-based approaches and moment-based representations. Matches between image patches are generated using a Gaussian-weighted moment encoding of the patches and a feature indexing process. Each match implies an object 3D position and orientation (pose) and generates a vote for this pose. Recognition is accomplished by detecting significant clusters of votes in pose space. This combined method is an improvement over voting and moment methods in isolation. Using image brightness moments, the idea is demonstrated on examples of human faces undergoing full 3D pose change, as well as changes in features such as talking and blinking. The idea is then extended to moments of local texture orientation and successfully demonstrated under large variations in lighting nature and geometry.
Graph Mining and Graph Kernels

Social and biological networks have led to a huge interest in data analysis on graphs. Various groups within the KDD community have begun to study the task of data mining on graphs, including researchers from database-oriented graph mining, and researchers from kernel machine learning. Their approaches are often complementary, and we feel that exciting research problems and techniques can be discovered by exploring the link between these different approaches to graph mining. The goal of this tutorial is (i) to introduce newcomers to the field of graph mining, (ii) to introduce people with database background to graph mining using kernel machines, (iii) to introduce people with machine learning background to database-oriented graph mining, and (iv) to present exciting research problems at the interface of both fields. 1 Target audience and prerequisites Target Audience This tutorial is intended for students, researchers and practitioners from graph mining, system biology, social network analysis, software engineering and related fields. The intended audience of this tutorial includes novice researchers, advanced experts, as well as practitioners from any application domain dealing with graph-structured or network data. The goal of this tutorial is • to introduce newcomers to the field of graph mining, • to introduce people with database background to graph mining using kernel machines, • to introduce people with machine learning background to database-oriented graph mining, • to present exciting research problems at the interface of both fields. In the past five years, a lot of research work on graph mining and graph kernels has been done in parallel in data mining and machine learning societies. So far, there is no single tutorial dedicated to bring these two research areas together. This tutorial presents a comprehensive overview of the techniques developed in graph mining and graph kernels and examines the connection between them. We believe it is timely and in high demand to have such a converged tutorial on this growing theme. Prerequisites The tutorial assumes familiarity with basic knowledge about efficient algorithms and data structures, as taught in most undergraduate courses in Computer Science.
Power Masks for Low-Complexity Very High Bit Rate Multi-Carrier Local Loop

This paper describes several power mask designs for local loop multi-carrier transmission. The proposed algorithms exploit the signal to noise and interference ratio knowledge at the transmitter in order to maximize the overall bit rate. This design prevents from the multiple large constellations soft-demapping burden by using a single mid-size Quadrature Amplitude Modulation (QAM). We illustrate the algorithms performance by giving results for Very high bit rate Digital Suscriber Line (VDSL) systems.
Probabilistic ToF and Stereo Data Fusion Based on Mixed Pixels Measurement Models

This paper proposes a method for fusing data acquired by a ToF camera and a stereo pair based on a model for depth measurement by ToF cameras which accounts also for depth discontinuity artifacts due to the mixed pixel effect. Such model is exploited within both a ML and a MAP-MRF frameworks for ToF and stereo data fusion. The proposed MAP-MRF framework is characterized by site-dependent range values, a rather important feature since it can be used both to improve the accuracy and to decrease the computational complexity of standard MAP-MRF approaches. This paper, in order to optimize the site dependent global cost function characteristic of the proposed MAP-MRF approach, also introduces an extension to Loopy Belief Propagation which can be used in other contexts. Experimental data validate the proposed ToF measurements model and the effectiveness of the proposed fusion techniques.
Detecting selection signatures between Duroc and Duroc synthetic pig populations using high-density SNP chip.

The development of high throughput genotyping techniques has facilitated the identification of selection signatures of pigs. The detection of genomic selection signals in a population subjected to differential selection pressures may provide insights into the genes associated with economically and biologically important traits. To identify genomic regions under selection, we genotyped 488 Duroc (D) pigs and 155 D × Korean native pigs (DKNPs) using the Porcine SNP70K BeadChip. By applying the FST and extended haplotype homozygosity (EHH-Rsb) methods, we detected genes under directional selection associated with growth/stature (DOCK7, PLCB4, HS2ST1, FBP2 and TG), carcass and meat quality (TG, COL14A1, FBXO5, NR3C1, SNX7, ARHGAP26 and DPYD), number of teats (LOC100153159 and LRRC1), pigmentation (MME) and ear morphology (SOX5), which are all mostly near or at fixation. These results could be a basis for investigating the underlying mutations associated with observed phenotypic variation. Validation using genome-wide association analysis would also facilitate the inclusion of some of these markers in genetic evaluation programs.
Refined structures of mouse P-glycoprotein

The recently determined C. elegans P‐glycoprotein (Pgp) structure revealed significant deviations compared to the original mouse Pgp structure, which suggested possible misinterpretations in the latter model. To address this concern, we generated an experimental electron density map from single‐wavelength anomalous dispersion phasing of an original mouse Pgp dataset to 3.8 Å resolution. The map exhibited significantly more detail compared to the original MAD map and revealed several regions of the structure that required de novo model building. The improved drug‐free structure was refined to 3.8 Å resolution with a 9.4 and 8.1% decrease in Rwork and Rfree, respectively, (Rwork = 21.2%, Rfree = 26.6%) and a significant improvement in protein geometry. The improved mouse Pgp model contains ∼95% of residues in the favorable Ramachandran region compared to only 57% for the original model. The registry of six transmembrane helices was corrected, revealing amino acid residues involved in drug binding that were previously unrecognized. Registry shifts (rotations and translations) for three transmembrane (TM)4 and TM5 and the addition of three N‐terminal residues were necessary, and were validated with new mercury labeling and anomalous Fourier density. The corrected position of TM4, which forms the frame of a portal for drug entry, had backbone atoms shifted >6 Å from their original positions. The drug translocation pathway of mouse Pgp is 96% identical to human Pgp and is enriched in aromatic residues that likely play a collective role in allowing a high degree of polyspecific substrate recognition.
Biodegradation of medicinal plants waste in an anaerobic digestion reactor for biogas production

Glycyrrhiza glabra (GG), Mint (M), Cuminum cyminum (CC), Lavender (L) and Arctium medicinal (AM) are considered as edible plants with therapeutic properties and are considered as medicinal plants in Iran. After extraction process of medicinal plants, residual wastes are not suitable for animal feed and are considered as waste and as an environmentally threat. At present there is no proper management of waste of these plants and they are burned or buried. The present study disscusses the possibility of biogas production from GGW, MW, CCW, LW and AMW. 250 g of these plants with TS of 10 % were digested in batch type reactors at temperature of 35 oC. The highest biogas production rate were observed to be 13611 mL and 13471 mL for CCW and GGW (10% TS), respectively. While the maximum methane was related to GGW with value of 9041 mL (10% TS). The highest specific biogas and methane production were related to CCW with value of 247.4 mL. (g.VS)-1 and 65.1 mL. (g.VS)-1, respectively. As an important result, it was obvioused that in lignocellulose materials, it can't be concluded that the materials with similar ratio of C/N has the similar digestion and biogas production ability.
PREVALENCE OF ANAPLASMA PHAGOCYTOPHILUM IN IXODES RICINUS TICKS DETERMINED BY POLYMERASE CHAIN REACTION WITH TWO PAIRS OF PRIMERS DETECTING 16 S rRNA AND ankA GENES

A total of 684 Ixodes ricinus ticks (321 nymphs, 184 males, and 179 females) were collected by fl agging lower vegetation in 6 forest districts located on the territory of Lublin province (eastern Poland). Ticks were examined by polymerase chain reaction (PCR) method for the presence of Anaplasma phagocytophilum DNA with two pairs of primers: EHR521/EHR747 for detecting 16S rRNA gene, and LA6/LA1 for detecting ankA gene. To study the relationship between infection in ticks and people occupationally exposed to tick bite, blood serum samples of 261 forestry workers employed in the same forest districts were examined by immunofl uorescence method for the presence of specifi c antibodies against A. phagocytophilum. A total of 70 ticks out of 684 examined (10.2%) showed the presence of A. phagocytophilum 16S rRNA gene. The prevalence of infection was signifi cantly dependent on tick’s stage (χ2=49.2, p<0.00001) and geographical locality (χ2=34.4, p<0.00001). The percentage of I. ricinus females infected with A. phagocytophilum (24.6%) was signifi cantly greater compared to males (6.5%) and nymphs (4.4%) (p<0.00001). Only 19 ticks out of 684 examined (2.8%) showed the presence of A. phagocytophilum ankA gene, signifi cantly less compared to 16S rRNA gene (p<0.00001). The prevalence of infection demonstrated by the presence of ankA gene was also signifi cantly dependent on tick’s stage (χ2=23.6, p<0.00001) but not on locality (χ2=9.8, p=0.082). A signifi cant correlation was found between the presence of A. phagocytophilum 16S rRNA gene in I. ricinus female ticks from the particular forest districts and the serologic response to A. phagocytophilum of forestry workers employed in the same districts (p<0.05). No signifi cant correlation was found between the presence of A. phagocytophilum ankA gene in I. ricinus ticks and serologic response of exposed workers. In conclusion, detection of A. phagocytophilum infection in ticks by PCR with the use of EHR521/EHR747 primers detecting 16S rRNA gene is signifi cantly more sensitive compared to LA6/LA1 primers detecting ankA gene. Address for correspondence: Dr Jolanta Chmielewska-Badora, Department of Occupational Biohazards, Institute of Agricultural Medicine, Jaczewskiego 2, 20-090 Lublin, Poland. E-mail: jcb@galen.imw. lublin.pl
Stochastic modeling of gene expression, protein modification, and polymerization

Many fundamental cellular processes involve small numbers of molecules. When numbers are small, fluctuations dominate, and stochastic models, which account for these fluctuations, are required. In this chapter, we describe minimal stochastic models of three fundamental cellular processes: gene expression, protein modification, and polymerization. We introduce key analytic tools for solving each model, including the generating function, eigenfunction expansion, and operator methods, and we discuss how these tools are extended to more complicated models. These analytic tools provide an elegant, efficient, and often insightful alternative to stochastic simulation.
Cross-backbone templating; ribodinucleotides made on poly(C)

G5′pp5′G synthesis from pG and chemically activated 2MeImpG is accelerated by the addition of complementary poly(C), but affected only slightly by poly(G) and not at all by poly(U) and poly(A). This suggests that 3′–5′ poly(C) is a template for uncatalyzed synthesis of 5′–5′ GppG, as was poly(U) for AppA synthesis, previously. The reaction occurs at 50 mM mono- and divalent ion concentrations, at moderate temperatures, and near pH 7. The reactive complex at the site of enhanced synthesis of 5′–5′ GppG seems to contain a single pG, a single phosphate-activated nucleotide 2MeImpG, and a single strand of poly(C). Most likely this structure is base-paired, as the poly(C)-enhanced reaction is completely disrupted between 30 and 37°C, whereas slower, untemplated synthesis of GppG accelerates. More specifically, the reactive center acts as would be expected for short, isolated G nucleotide stacks expanded and ordered by added poly(C). For example, poly(C)-mediated GppG production is very nonlinear in overall nucleotide concentration. Uncatalyzed NppN synthesis is now known for two polymers and their complementary free nucleotides. These data suggest that varied, simple, primordial 3′–5′ RNA sequences could express a specific chemical phenotype by encoding synthesis of complementary, reactive, coenzyme-like 5′–5′ ribodinucleotides.
Incomplete endothelialisation of an Amplatzer Septal Occluder device followed by meningitis and late acute bacterial endocarditis

Abstract A 19-year-old woman with atrial septal defect treated percutaneously with an Amplatzer Septal Occluder 24 months earlier, who presented with a history of bacterial meningitis, was admitted with a diagnosis of endocarditis. After 6 weeks of treatment with antibiotics, the incompletely endothelialised occluder was surgically removed. The present report illustrates the need for long-term follow-up of patients who have received nitinol wire mesh occluders.
A high-level approach to power estimation of digital circuits at an accuracy of transitor-level simulation

This paper presents a efficient approach for the estimation of signal activity figures based on a gate level description of a digital circuit. Exploiting an event oriented simulation system a methodology for calculating very accurate power estimates for digital circuits is presented. A calibration scheme for characterizing the power dissipation of logic gates based on a few key parameters will be outlined. The proposed method proves that the use of an event oriented simulation system calibrated with these gate specific parameters allows power estimations which are comparable to transistor level (SPICE) simulation accuracy. This is essential for the analysis of large circuits, because the proposed event driven simulation system is about 10000 times faster than transistor level simul ation. Experimental results and benchmarks are presented which demonstrates significant improvements in terms of performance, accuracy and flexibility of this approach compared to other state of the art power estimation methods.
Multimodal biometrics approach using face and ear recognition to overcome adverse effects of pose changes

Abstract. A personal identification method is proposed which uses face and ear together to overcome mass information loss resulting from pose changes. Several aspects are mainly considered: First, ears are at both sides of the face. Their physiological position is approximately orthogonal and their information is complementary to each other when the head pose changes. Therefore, fusing the face and ear is reasonable. Second, the texture feature is extracted using a uniform local binary pattern (ULBP) descriptor which is more compact. Third, Haar wavelet transform, blocked-based, and multiscale ideas are taken into account to further strengthen the extracted texture information. Finally, texture features of face and ear are fused using serial strategy, parallel strategy, and kernel canonical correlation analysis to further increase the recognition rate. Experimental results show that it is both fast and robust to use ULBP to extract texture features. Haar wavelet transform, block-based, and multiscale methods can effectively enhance texture information of the face or ear ULBP descriptor. Multimodal biometrics fusion about face and ear is feasible and effective. The recognition rates of the proposed approach outperform remarkably those of the classic principal component analysis (PCA), kernel PCA, or Gabor texture feature extraction method especially when sharp pose change happens.
Iron metabolism and diagnosis of iron overload disorders.

IMPORTANCE OF THE FIELD Iron is an essential metal required for biochemical processes in the body including hemoglobin synthesis and cellular proliferation. However, unbound or excess iron can be toxic as a catalyst for free radical reactions, damaging cellular membranes, proteins and DNA by means of reactive oxygen species. There is no active mechanism to excrete this metal, and it must be highly regulated to avoid cytotoxic harm. The liver is the major storage organ for iron and produces transferrin and hepcidin, which help to regulate iron. Iron homeostasis is ultimately controlled at the level of absorption in the duodenum. In the last 13 years, the discoveries of hepcidin and the HFE gene have propelled our understanding of iron metabolism and iron overload disorders. AREAS COVERED IN THIS REVIEW This review includes findings from many landmark studies over the course of 80 years, but with particular emphasis on recently established evidence. Iron homeostasis, hepcidin, common iron studies, liver biopsy and iron overload diseases are some of the subject matter. WHAT THE READER WILL GAIN Readers will gain an up-to-date understanding about iron metabolism, as well as the usefulness of iron tests and an overview of HFE-related and non-HFE-related hemochromatosis. TAKE HOME MESSAGE It is important for the scientist and clinician alike to understand iron metabolism in order to perceive appropriate diagnostic testing and treatment.
Effectiveness of Polypropylene Fiber Reinforced Concrete in Enhancement of Long-Term Durability of Hydraulic Structures

The long-term durability of concrete hydraulic structures can be improved by controlling their rate of water absorption and linear shrinkage. Incorporation of fibers in concrete composites has the potential to improve these properties of concrete. Artificial fibers are commonly used in concrete due to its durable nature for long serviceable life. So, the overall aim of this research program is to study the effectiveness of artificial fibers for improvement of long-term durability of concrete hydraulic structures. To start with, polypropylene fibers are considered. The polypropylene fibers (PPF) have the unique properties of chemically inertness and low cost raw materials. The pilot study presents the experimental evaluation of water absorption and linear shrinkage of polypropylene fiber reinforced concrete (PPFRC) in comparison to that of plain concrete (PC). The mix design proportion of 1:3:1.5:0.7 (cement:sand:aggregates:water) is used in preparation of PC and PPFRC. For PPFRC, the fiber length of 50 mm and content of 5% by mass of cement are added. All tests are performed as per ASTM standard. Discussions on the considered properties of PC and PPFRC are made. As per expected outcomes PPFRC showed less water absorption and less linear shrinkage as compared to that of PC. Because of this possible attribute, the PPFRC can be used in hydraulic structures.
Magnetotactic bacteria.

Bacteria with motility directed by the local geomagneticfield have been observed in marine sediments. These magnetotactic microorganisms possess flagella and contain novel structured particles, rich in iron, within intracytoplasmic membrane vesicles. Conceivably these particles impart to cells a magnetic moment. This could explain the observed migration of these organisms infields as weak as 0.5 gauss. lated and grown in pure culture. I obtained nisms which rapidly migrated to the seapurified cell suspensions for electron miwater drop were collected with micropipets croscopic examination by taking advanand prepared for electron microscopy. tage of the cells' magnetotactic behavior. I Magnetotactic cells were roughly spherplaced drops of seawater in contact with ical and averaged 1 um in diameter (Fig. the northern edge of drops of mud enrich2, A to C). Two bundles of flagella were ment material on microscope slides. Orgaobserved at one side of the cell (Fig. 2, A &M 'k i~~~~~~~~~~54 j~ ~ ~ ~ ~~C
Identification of an Arabidopsis Feruloyl-Coenzyme A Transferase Required for Suberin Synthesis1[W][OA]

All plants produce suberin, a lipophilic barrier of the cell wall that controls water and solute fluxes and restricts pathogen infection. It is often described as a heteropolymer comprised of polyaliphatic and polyaromatic domains. Major monomers include ω-hydroxy and α,ω-dicarboxylic fatty acids, glycerol, and ferulate. No genes have yet been identified for the aromatic suberin pathway. Here we demonstrate that Arabidopsis (Arabidopsis thaliana) gene AT5G41040, a member of the BAHD family of acyltransferases, is essential for incorporation of ferulate into suberin. In Arabidopsis plants transformed with the AT5G41040 promoter:YFP fusion, reporter expression is localized to cell layers undergoing suberization. Knockout mutants of AT5G41040 show almost complete elimination of suberin-associated ester-linked ferulate. However, the classic lamellar structure of suberin in root periderm of at5g41040 is not disrupted. The reduction in ferulate in at5g41040-knockout seeds is associated with an approximate stoichiometric decrease in aliphatic monomers containing ω-hydroxyl groups. Recombinant AT5G41040p catalyzed acyl transfer from feruloyl-coenzyme A to ω-hydroxyfatty acids and fatty alcohols, demonstrating that the gene encodes a feruloyl transferase. CYP86B1, a cytochrome P450 monooxygenase gene whose transcript levels correlate with AT5G41040 expression, was also investigated. Knockouts and overexpression confirmed CYP86B1 as an oxidase required for the biosynthesis of very-long-chain saturated α,ω-bifunctional aliphatic monomers in suberin. The seed suberin composition of cyp86b1 knockout was surprisingly dominated by unsubstituted fatty acids that are incapable of polymeric linkages. Together, these results challenge our current view of suberin structure by questioning both the function of ester-linked ferulate as an essential component and the existence of an extended aliphatic polyester.
Routing protocol based on genetic algorithm for energy harvesting-wireless sensor networks

Traditional routing protocols are no longer suitable for the energy harvesting-wireless sensor networks (EH-WSN), which is powered by the energy harvested from environment instead of batteries. Rather than minimising the energy consumption and maximising the network lifetime, the main challenge in EH-WSN is to maximise its working performance under energy harvesting constraints. In this study, the authors propose a centralised power efficient routing algorithm energy harvesting genetic-based unequal clustering-optimal adaptive performance routing algorithm (EHGUC-OAPR) which contains two parts: (i) energy harvesting genetic-based unequal clustering algorithm EHGUC and (ii) optimal adaptive performance routing algorithm (OAPR). First, the base station (BS) uses EHGUC algorithm to form clusters of unequal size and select associated cluster heads, in which the clusters closer to the BS have smaller size. Then, the BS adopts OAPR algorithm to construct an optimal routing among each cluster heads. The numerical results show that EHGUC-OAPR is not only well applied to EH-WSN, but also has a great improvement in network energy balance and data delivery ratio.