Miracle-dz/UniFAR-FTUs huggingface dataset:
Training of Food Handlers in a Hotel: Tool for Promotion of the Food Safety: Tran, Hand Hotel: food safety

This paper aims to evaluate a methodology for training food handlers using a didactic material (booklet) developed to be used as a tool in further training sessions in the hotel sector. Microbiological indicators, such as mesophilic aerobic bacteria, coliforms at 35 and 45C were tested in utensils, adornments, food handler hands and ready-for-consumption foods, in adverse conditions and routine tasks in an industrial kitchen environment. The results of the microbiological analyses clearly demonstrated the need for constant vigilance in order to obtain safe food, besides providing examples to be inserted into teaching materials, such as a guidebook, focusing on handlers who work in hotels, with the advantage of approaching examples of the routine of these establishments. Practical Applications Food handler education in hotels should be compulsory part of a food safety program. In this study, presented are the development of a methodology using practical examples from daily activities of the employers and results of laboratory analysis. Easy understanding was observed among all the food handlers and improvements were observed after the implementation of the method. The methodology can be adopted in any hotel food service, without any extra economical cost.
Representation of adversarial images in deep neural networks and the human brain

: Many studies have demonstrated the prominent similarity between deep neural networks (DNNs) and human vision. However, one recent study (Nguyen et al., 2015) challenged this idea and showed that some artificially generated adversarial images can successfully ‘fool’ the even most state-of-the-art DNNs but not human vision. Specifically, DNNs can accurately recognize adversarial noise (AN) images but not adversarial interference (AI) images, and vice versa in humans. In this paper, we aim to use functional magnetic resonance imaging (fMRI) to elucidate the neural mechanisms that underlie these dissociable behaviors. We measured neural responses in the human brain towards regular, AN and AI images, and quantify the representational similarity between the three types of images in a DNN and in the human brain respectively. Results demonstrated that the representational similarity in the DNN reflects image similarity more than perceptual similarity. We also found that the DNN misrepresents low-and middle-level visual features compared to human vision. These results offer new insight into the development of both human visual models and deep neural networks in future work.
PID Techniques and Performance at LHCb in Run 2

Particle identification (PID) plays a crucial role in LHCb analyses. The LHCb PID system is composed of two ring-imaging Cherenkov detectors, a series of muon chambers and a calorimeter system. Combining information from these subdetectors allows one to distinguish between various species of long-lived charged and neutral particles. Advanced multivariate techniques are employed to obtain the best PID performance and control systematic uncertainties in a data-driven way. A novel strategy has been introduced in Run 2, where the selection of PID calibration data is implemented in the LHCb software trigger, with further processing achieved through a centralised production that makes highly efficient use of computing resources. This poster covers the major steps of the implementation, and highlights the PID performance achieved in Run 2.
Classification of Alzheimer disease among susceptible brain regions

Statistical and machine learning techniques are frequently employed in the study of neuroimaging data for finding Alzheimer disease (AD) in clinical studies and in additional inquiries about research settings. AD affects the whole brain and as a result the quality of life, where most affected regions are the hippocampus (HP), middle temporal gyrus (MTG), entorhinal cortex, and posterior cingulate cortex (PCC). We used well‐known classification methods to diagnose the affected regions of the brain at different stages of age using biomarker modalities and functional magnetic resonance imaging (fMRI) at the resting state, and later marked the affected brain region on MRI. We have used well‐known support vector machine (SVM), Fisher's linear discriminant analysis, artificial neural network, and logistic regression for the classification of AD. In the context of receiver operating characteristic (ROC) curves, an SVM provided the best classification among AD stages. Moreover, analysis showed development of AD.
Full duplex-transceivers : architectures and performance analysis

The revolution of the 5G communication systems will result in 10,000 times increase in the total mobile broadband traffic in the 2020s, which will increase the demand on the limited wireless spectrum. This has highlighted the need for an efficient frequency-reuse technique that can meet the ever-increasing demand on the available frequency resources. In-band full-duplex (FD) wireless technology that enables the transceiver nodes to transmit and receive simultaneously over the same frequency band, has gained tremendous attention as a promising technology to double the spectral efficiency of the traditional half-duplex (HD) systems. However, this technology faces a formidable challenge, that is the large power difference between the self-interference (SI) signal and the signal of interest from a remote transceiver node. In this thesis, we focus on the architecture of the FD transceivers and investigate their ability to approximately double the throughput and the spectral efficiency of the conventional HD systems. Moreover, this thesis is concerned with the design of efficient self-interference cancellation schemes that can be combined with the architecture of the FD transceiver nodes in order to effectively suppress the SI signal and enable the FD mode. In particular, an orthogonal frequency-division multiplexing (OFDM) based amplify-and-forward (AF) FD physical-layer network coding (PLNC) system is proposed. To enable the FD mode in the proposed system, a hybrid SIC scheme that is a combination of passive SIC mechanism and active SIC technique is exploited at each transceiver node of that system. Next, we propose an adaptive SIC scheme, which utilizes the normalized least-mean-square (NLMS) algorithm to effectively suppress the SI signal to the level of the noise floor. The proposed adaptive SIC is then utilized in a denoise-and-forward (DNF) FD-PLNC system to enable the FD mode. Finally, we introduce a novel overthe-air SIC scheme that can effectively mitigate the SI signal before it arrives the local analog-to-digital converter (ADC) of the FD transceiver nodes. Furthermore, the impact of the hardware impairments on the performance of the introduced SIC scheme is examined and characterized.
SOAR Architecture

This document is the definition of the SOAR (Smalltalk on A RISC architecture and implementation, and is not meant to be the first exposure of a reader to SOAR, the RISC approach to architecture, or Smalltalk. This document makes several references to the Proceedings of CS29 Architectural Investigations Class, April 1983. The Proceedings'' first chapter was written by Milce Klein and Pete Foley and was the starting point for this document. Readers who are unfamiliar with Smalltalk and the RISC I architecture should not expect to understand everything in this document.
Heteroplasmy and length variation in the tRNApro- Dloop regions of three sturgeon species (A. stellatus, A. gueldenstaedtii and H. huso) from the Turkish coast of the Black Sea

Objective: To determine tandem repeat polymorphism and heteroplasmy in three sturgeon species (A. stellatus, A. gueldenstaedtii and H. huso) from the Turkish coast of Black Sea. Methods: tRNApro and D-loop segment of mtDNA from three sturgeon species were amplified via PCR and sequenced. For each species, homoplasmic individuals with different product lengths, repeat motifs and regions were determined and the repeat numbers and frequencies were calculated. The variation in mtDNA size present in the overall sample of sturgeon from Turkish waters was apportioned into hierarchical components. Also, the statistical approach described by other researchers was used for the calculation of inter- species and intra-species genetic variation. Results: The results showed that all three species reveal 2-6 copies of different mtDNA length variants attributable to varying copy numbers of an 82-84bp repeat sequences. A total of 9.9% of the sturgeons were heteroplasmic, bearing three to five repeat variants. The highest number of observed repeat units rate was 45.8% in 3 repeats morph in A. gueldenstaedtii. The mean genetic diversity within individuals (Kb) was higher in A. gueldenstaedtii and A. stellatus than in H. huso (0.625, 0.620, and 0.500, respectively). Conclusion: The repeat region, responsible for length variations and heteroplasmy, is located near the end of the D-loop and control region separated by only a few nucleotides from the tRNApro gene.
A standardized protocol for the determination of specific leaf area and leaf dry matter content

Summary 1 The impact of sample preparation, rehydration procedure and time of collection on the determination of specific leaf area (SLA, the ratio of leaf area to leaf dry mass) and leaf dry matter content (LDMC, the ratio of leaf dry mass to fresh mass) of mature leaves was studied in three wild species growing in the field, chosen for their contrasting SLA and LDMC. 2 Complete rehydration was achieved 6 h after samples were placed into water, but neither of the procedures tested – preparation of samples before rehydration or temperature applied during rehydration – had a significant effect on the final values of SLA or LDMC. 3 As expected, water-saturated leaves had a lower LDMC than non-rehydrated leaves; more surprisingly, their SLA was also higher. The impact of rehydration on SLA was especially important when the SLA of the species was high. 4 There was no significant effect of time of sampling on either trait in any species over the time period covered (09·00–16·30 h). 5 These results suggest that SLA and LDMC obtained on water-saturated leaves (SLASAT and LDMCSAT) can be used for species comparisons. We propose a standardized protocol for the measurement of these traits. This would allow for better consistency in data collection, a prerequisite for the constitution of large databases of functional traits.
3. On some Bats of the Genus Rhinolophus, with Remarks on their Mutual Affinities, and Descriptions of Twenty‐six new Forms

The present paper is, chiefly, an attempt to disentangle some of the more complicated groups of Eastern Rhinolophito make out the probable interrelations of the species, and to describe the many new, imperfectly known, or hitherto confused forms. I have appended some general remarks on the affinities of the Ethiopian and Western Palæarctic species. The material placed at my disposal has been more extensive than that of previous writers on these Bats, namely, Prof. Peters (1871) and Dr. Dobson (1878) ; and I have approached the subject from a different point of view, basing the diagnoses of the primary groups, and, where possible, of the species and subspecies too, not on external and dental characters alone, but also on important differences in the skulls. This may account, partly at least, for the essentially different conclusions on many points at which I have arrived. On the other hand, the following pages afford ample proof that my material has not been complete enough to enable me to venture an answer on all the difficult questions, taxonomic or phylogenetic, that occurred to me during my work. I shall feel satisfied if my paper is considered of some use as a basis for further investigations. I owe my sincere thanks to Mr. Oldfield Thomas for entrusting me with a revision of these Bats, for giving me unlimited access to the recently acquired, still unregistered specimens in the British Museum, especially those of the large and important “ Tomes Collection,’’ and also for having favoured me with much valuable information during the progress of my work. I also have to acknowledge the kind assistance of Mr. Gerrit S. Miller, Jr., who sent me for inspection almost all the Indo­ Malayan Rhinolophi preserved in the United States National Museum, including many new and interesting forms, part of which will be dealt with below. For the loan of specimens for comparison, or for information on examples preserved in Continental Museums, I am indebted to Geheimrath Prof. Dr. Ehlers, Göttingen ; Prof. Matschie, Berlin ; Prof. Dr. Kurt Lampert, Stuttgart ; M. Ch. Mottaz, Geneva ; M. A. Ménégaux, Paris ; and Prof. A. Cabrera Latorre, Madrid.
Application of Fuzzy Graph Theory to Successional Analysis of a Multispecies Trawl Fishery

Abstract Fuzzy graph theory is applicable to any dynamical system where the values of all state variables are known for at least two points in time. This type of analysis is useful for detecting early trends in successional changes of assemblages of organisms. Seventeen successive years of research vessel trawl survey data from the Gulf of Thailand involving 38 species or species groups were amenable to this form of analysis. The compositional dynamics of the species were examined by using three fuzzy relations to describe succession from the same data set. Although fuzzy graphs resulting from these relations showed that successional trends depended somewhat upon the characteristics of the chosen relation, consistent succession to a relatively few short-lived opportunistic species occurred. After the initial perturbation, the system was not strongly time-varying and some prediction was possible from a short data set. This application of methods and algorithms of fuzzy graph theory to analysis of multispec.
A Review on Elimination of Defects in Gravity Die Cast Al-Alloy Casting Using Autocast Simulation

The paper deals with the elimination of defects in aluminum alloy casting produced by gravity die casting process. The main intention is to investigate the defects and improve quality of a gravity die cast component using Autocast simulation software. The defects in the component are identified to be solidification shrinkage, cracks, unfilled riser and incomplete mould cavity. The reasons of defects are analyzed as either improper selection of process parameter or improper design of gating and risering system. The Autocast software for casting simulation is helpful to visualize mould filling, solidification, cooling and to predict the location of internal defect in casting such as shrinkage porosity, sand inclusions and cold shuts. It can be used for troubleshooting existing casting and to develop new casting without shop floor trials. The die is modified accordingly with the simulation results and metal is poured into it. The casting produced are observed and found to have no defects.
Mutual Component Convolutional Siamese Network for Heterogeneous Iris Recognition

: Iris recognition system is a special system employed to identify individuals according to their iris. The iris patterns are extremely randomized and unique. However, iris images captured by different sensors have heterogeneous characteristics. Matching heterogeneous iris patterns can degrade the rate of recognition and the system will not be as accurate as when all iris images are captured by the same sensor. Therefore it is a challenging issue to design a model that finds the matching between heterogeneous iris patterns. In this paper, a deep learning based framework, to address the issue of heterogeneous iris recognition, is presented. The framework termed as Mutual Component Convolutional Siamese Network (MCCSN), incorporates a learnable distance measure module into Siamese Neural Network (SNN) architecture, when the identical twin branches of this network are formed from a pre-trained Convolutional Neural Network (CNN), and sharing all parameters. Based on deep features extracted from input heterogeneous pairs simultaneously by the base CNN branches, the learnable distance measure module is designed to calculate the distance between heterogeneous iris patterns, and its parameters are learned according to the binary label attached with each pair during training process. The binary labels determine the similarity and dissimilarity between the iris images of each pair. The experiments showed that our MCCSN achieved 100% test accuracy and 0.07% test loss.
Using community and population approaches to understand how contemporary and historical factors have shaped species distribution in river ecosystems

Aim To examine how the employment of both community- and population-level approaches can provide a wider view of the importance of contemporary and historical factors on current species distribution. We posit that community ecology should provide more information about contemporary factors, whereas population genetics should provide better information about historical factors. Location Rivers of the western Mediterranean Basin, including four subregions differing in geological history: the Iberian Plate, Transitional, Betic and Rif. Methods For a community-level approach, Trichoptera richness and community composition were compared between subregions using species accumulation curves and a correspondence analysis. For a population-level approach, the mtDNA cytochrome C oxidase subunit I (COI) gene of specimens of the Trichoptera midstream-lowland species Chimarra marginata (L.) was sequenced and analysed using phylogeographical methods. Results The community approach revealed that historical events had more influence on headwater communities than contemporary ecological factors, whereas historical events had negligible influence on midstream-lowland communities. In midstream-lowland sites, however, the population approach showed that the genetic structure of C. marginata differed significantly between subregions and revealed patterns of historical gene migration. In terms of species richness, the Rif subregion had the lowest value per basin due to local climatic features and isolation. Main conclusions Both community- and population-level approaches yielded information about the effects of historical factors on species distribution. However, the importance of historical events on current Trichoptera communities depends on the river zonation. Unlike headwater sites, midstream-lowland sites showed signs of historical events at the population level but not at the community level at the scale used, indicating that both approaches should be employed together in biogeographical studies. Lack of detection of historical events at the community level does not necessarily mean that they are negligible. Most likely, the organizational level used is not appropriate. We also stress the importance of implementing conservation measures for rivers in the western Mediterranean, especially under future scenarios of climate change and human disturbances in the Mediterranean Basin.
D $v$ /D $t$ -Control Methods for the SiC JFET/Si MOSFET Cascode

Switching devices based on SiC offer outstanding performance with respect to operating frequency, junction temperature, and conduction losses enabling significant improvement of the performance of converter systems. There, the cascode consisting of a MOSFET and a JFET has additionally the advantage of being a normally off device and offering a simple control via the gate of the MOSFET. Without dv /dt-control, however, the transients for hard commutation reach values of up to 45kV/μs, which could lead to electromagnetic interference problems. Especially in drive systems, problems could occur, which are related to earth currents (bearing currents) due to parasitic capacitances. Therefore, new dv/d t-control methods for the SiC JFET/Si MOSFET cascode as well as measurement results are presented in this paper. Based on this new concepts, the outstanding performance of the SiC devices can be fully utilized without impairing electromagnetic compatibility.
Effects on egg yolk colour of paprika or paprika combined with marigold flower extracts

COLOR-UP® and COLOR-UP YELLOW-S® were fed to a total of 144 twenty-five-week-old Charoen Pokphand brown laying hens to investigate whether yellow xanthophylls present in marigold flowers in combination with red xanthophylls from paprika fruit can further enhance egg yolk colour. The birds were randomly assigned to three groups: yellow corn basal diet control group (17.50 CP, 2750 kcal/kg ME); the 0.1% dietary paprika group; and the 0.1% dietary paprika plus 0.1% marigold group. Each group contained four replicates with 12 birds. Egg quality was recorded weekly from 25 to 28 weeks of age. Parameters did not show any difference except for egg yolk colour. Egg yolk colour scores were greater in the paprika group than in the control group (11.47 vs 8.64; P<0.05). Egg yolk colour scores of the paprika plus marigold group (12.17) were higher than those of the paprika group (P<0.05). Compared with the control, mean lightness value decreased in the paprika plus marigold group (P<0.05), suggesting a deep egg yolk colour in this group. Redness, yellowness and chroma were improved in both experimental groups (P<0.05). The spectral reflectance wavelength of egg yolk from the experimental groups increased between 600 and 700 nm, suggesting improved chroma. These results indicate that yellow xanthophylls from marigold flower extract (COLOR-UP YELLOWS®) in combination with red xanthophylls present in paprika (COLOR-UP®) can further enhance egg yolk colour and chroma.
The influence of temperature and humidity on abundance and richness of Calliphoridae (Diptera)

The blowfly species are important components in necrophagous communities of the Neotropics. Besides being involved in the degradation of animal organic matter, they may serve as vectors for pathogens and parasites, and also cause primary and secondary myiasis. The occurrence pattern of these species is well defined, yet it is still not very clear which of these environmental factors determine the structure of the assemblies. This paper was developed to evaluate the influence of mean temperature and relative humidity variation in the abundance and richness of blowflies in the Brazilian southernmost state, Rio Grande do Sul, where temperature variation is well marked throughout the year. To evaluate this objective, WOT (Wind Oriented Trap) were installed with beef liver as bait in three environments for 10 consecutive days in each month between July 2003 and June 2004. A total of 13,860 flies were collected distributed among 16 species with a higher frequency of Lucilia eximia (Wiedemann, 1819) and Chrysomya albiceps (Wiedemann, 1819). The mean temperature and relative humidity influence the richness of blowflies, with greater richness and abundance in late spring and early summer, whereas abundance was only influenced by temperature. Each species responded differently with respect to these variables, where L. eximia is not influenced by any of the two abiotic factors, despite the high abundance presented. This paper presents the results of the sensitivity for the presence or absence of species of Calliphoridae and on the variation of the abundance of these species under regime temperature changes and relative humidity with implications for public health and animal management.
Encyclopedia of Wireless Networks: Reaction-Diffusion Channels

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