Miracle-dz/UniFAR-FTUs huggingface dataset:
Functional modulation of human intestinal epithelial cell responses by Bifidobacterium infantis and Lactobacillus salivarius

Intestinal epithelial cells (IECs) and dendritic cells (DCs) play a pivotal role in antigen sampling and the maintenance of gut homeostasis. However, the interaction of commensal bacteria with the intestinal surface remains incompletely understood. Here we investigated immune cell responses to commensal and pathogenic bacteria. HT‐29 human IECs were incubated with Bifidobacterium infantis 35624, Lactobacillus salivarius UCC118 or Salmonella typhimurium UK1 for varying times, or were pretreated with a probiotic for 2 hr prior to stimulation with S. typhimurium or flagellin. Gene arrays were used to examine inflammatory gene expression. Nuclear factor (NF)‐κB activation, interleukin (IL)‐8 secretion, pathogen adherence to IECs, and mucin‐3 (MUC3) and E‐cadherin gene expression were assayed by TransAM assay, enzyme‐linked immunosorbent assay (ELISA), fluorescence, and real‐time reverse transcriptase–polymerase chain reaction (RT‐PCR), respectively. IL‐10 and tumour necrosis factor (TNF)‐α secretion by bacteria‐treated peripheral blood‐derived DCs were measured using ELISA. S. typhimurium increased expression of 36 of the 847 immune‐related genes assayed, including NF‐κB and IL‐8. The commensal bacteria did not alter expression levels of any of the 847 genes. However, B. infantis and L. salivarius attenuated both IL‐8 secretion at baseline and S. typhimurium‐induced pro‐inflammatory responses. B. infantis also limited flagellin‐induced IL‐8 protein secretion. The commensal bacteria did not increase MUC3or E‐cadherin expression, or interfere with pathogen binding to HT‐29 cells, but they did stimulate IL‐10 and TNF‐α secretion by DCs. The data demonstrate that, although the intestinal epithelium is immunologically quiescent when it encounters B. infantis or L. salivarius, these commensal bacteria exert immunomodulatory effects on intestinal immune cells that mediate host responses to flagellin and enteric pathogens.
Persuasive health technology

This chapter aims to describe persuasive health technology to help you understand the strategies that can improve the adherence to eHealth technologies and increase their effectiveness. As we have seen in Chapter 2 , behaviour change is important to improve health and well-being. Behaviour change techniques can be implemented in eHealth technology to support users in reaching their goals. Persuasive technology can be seen as the technological instantiation of these behaviour change techniques. Indeed, the technology needs to be persuasive to increase the chances of people using the technology and reaching its health and well-being goals. Chapter 10 has shown that methods from Human-Centred Design can be employed to make a technology that is appealing and ﬁ tting with the users’ needs. In this chapter, we will show that technology can do more than just be appealing, as it can also be persuasive and in this way be an excellent support for users to reach their own goals. The chapter starts with an introduction to persuasive technology and how this technology has been applied in the context of improving health and well-being. We introduce the Persuasive Systems Design (PSD) model and how it can be used to develop and evaluate eHealth technologies. After completing this chapter, you will be able to: • explain what persuasive technology is, and in what way domains such as persuasive communication, health promotion, social marketing, technology acceptance and human-media interaction are underlying foundations.
Discriminant Components Embedded in Subspace for Face Recognition

Face recognition is a promising biometrics resource. In this paper, for robust and discriminative to change in face recognition, we introduce an algorithm that Linear Discriminant Analysis is applied to the discriminative components, which feature extraction based on the generative probability model and use the distance-based similarity measures for face recognition. XM2VTS dataset is used to validate that the proposed method is superior to the classic algorithms, such as probabilistic Linear Discriminant Analysis, Bayes algorithm and many state-of-the-art linear subspace learning (LSL) algorithms. In particular, our method achieves 98% face recognition rate.
Distinct p53, p53:LANA, and LANA Complexes in Kaposi's Sarcoma-Associated Herpesvirus Lymphomas

ABSTRACT The role of p53 in primary effusion lymphoma (PEL) is complicated. The latency-associated nuclear antigen (LANA) of Kaposi's sarcoma-associated herpesvirus (KSHV) binds p53. Despite this interaction, we had found that p53 was functional in PEL, i.e., able to induce apoptosis in response to DNA damage (C. E. Petre, S. H. Sin, and D. P. Dittmer, J. Virol. 81:1912-1922, 2007), and that hdm2 was overexpressed. To further elucidate the relationship between LANA, p53, and hdm2, we purified LANA complexes from PEL by column chromatography. This confirmed that LANA bound p53. However, the LANA:p53 complexes were a minority compared to hdm2:p53 and p53:p53 complexes. The half-life of p53 was not extended, which is in contrast to the half-life of simian virus 40 T antigen-transformed cells. p53:p53, LANA:p53, and LANA:LANA complexes coexisted in PEL, and each protein was able to bind to its cognate DNA element. These data suggest that under normal conditions, p53 is inactive in PEL, thus allowing for exponential growth, but that this inactivation is driven by the relative stoichiometries of LANA, hdm2, and p53. If p53 is activated by DNA damage or nutlin-3a, the complex falls apart easily, and p53 exercises its role as guardian of the genome.
PERFORMANCE MEASUREMENT AND ANALYSIS OF COFFEE SUPPLY CHAIN WITH SCOR METHOD (CASE STUDY OF NORTH SUMATERA COFFEE)

Coffee is the one of the commodities that push the economy of Indonesia. Almost all provinces have coffee plantations. North Sumatera is one of the 10th largest coffee producer in Indonesia, especially Dairi, Humbang Hasundutan, and North Tapanuli district. But the reality coffee plantation is unstable year by year and cause the farmers move to plant other commodities, such as orange and horticulture agriculture. This study measured performance of North Sumatera Coffee supply chain with SCOR method to overcome the problem in supply chain. The measurement is performed with several stage: SCOR matrix identification, Key Perfomance Identification (KPI) identification, normalixation score, and KPI weighting using Analytical Hirerchy Process (AHP) method. The result show that the score of supply chain performance is 48.224 with marginal category with the lowest final value is in delivery business process. This process can be improved by means of upgraded the quality of delivery products, required and shipped quantities must be the same, on time delivery of raw materials.
Connaissances morphologiques et traitement morphologique chez des enfants apprentis lecteurs francophones

La lecture est un facteur important d'integration sociale et professionnelle dans les societes industrialisees. Or, 16% de la population adulte Suisse rencontre des difficultes en lecture, souvent consequentes a un apprentissage inadequat. Chez les enfants, 5% souffrent de difficultes d'apprentissage specifiques de la lecture (dyslexie), qui peuvent constituer un handicap important pour leur scolarite. Afin de pouvoir mettre en place des programmes de prise en charge, il est essentiel d'etudier les mecanismes impliques dans l'apprentissage de la lecture. La contribution des habiletes phonologiques a notamment ete largement etudiee. En revanche, il n'existe que peu de recherches en ce qui concerne le traitement morphologique, autre procedure susceptible de jouer un role dans l'apprentissage de la lecture. Notre recherche vise a decrire les connaissances morphologiques chez des enfants apprentis lecteurs francophones, a determiner si les enfants effectuent un traitement morphologique pour lire les mots et les nouveaux mots, et si ce traitement peut faciliter leur apprentissage de la lecture. Nous avons administre des epreuves a des enfants normo-lecteurs de 3eme et 5eme annee primaire. Les tâches ont permis d'evaluer leurs connaissances morphologiques ainsi que le traitement morphologique qu'ils effectuent dans la lecture de mots et de pseudomots. Les habiletes phonologiques de nos sujets ainsi que leur utilisation des differentes procedures de lecture ont egalement ete evaluees. Nous avons observe une evolution dans les habiletes phonologiques entre la 3eme et la 5eme annee, une evolution dans la lecture en terme de precision et de rapidite, une utilisation de la procedure de lecture phonologique maitrisee par les deux groupes, ainsi qu'une utilisation de la procedure orthographique mise en place chez les enfants de 5eme annee et commencant a se constituer chez les enfants de 3eme annee. Comme attendu, les resultats aux tâches de connaissances et traitement morphologiques ont montre que les enfants apprentis lecteurs francophones disposent d'un niveau de connaissances morphologiques important, et que ces connaissances augmentent entre la 3eme et la 5eme annee primaire. Les enfants se servent des unites morphologiques pour lire les mots et les nouveaux mots, ce qui facilite leur lecture en leur permettant de lire les mots plus rapidement, et les nouveaux mots plus rapidement et plus precisement.
A review of visual inertial odometry from filtering and optimisation perspectives

Visual inertial odometry (VIO) is a technique to estimate the change of a mobile platform in position and orientation overtime using the measurements from on-board cameras and IMU sensor. Recently, VIO attracts significant attentions from large number of researchers and is gaining the popularity in various potential applications due to the miniaturisation in size and low cost in price of two sensing modularities. However, it is very challenging in both of technical development and engineering implementation when accuracy, real-time performance, robustness and operation scale are taken into consideration. This survey is to report the state of the art VIO techniques from the perspectives of filtering and optimisation-based approaches, which are two dominated approaches adopted in the research area. To do so, various representations of 3D rigid motion body are illustrated. Then filtering-based approaches are reviewed, and followed by optimisation-based approaches. The links between these two approaches will be clarified via a framework of the Bayesian Maximum A Posterior. Other features, such as observability and self calibration, will be discussed. Graphical Abstract
Fast numerical methods based on SDES for several problems related to the shortest path

In this paper, we apply the Evolving Junctions on Obstacle Boundaries (E-JOB) method for the shortest path problem developed in [3, 4] to three related problems: 1) ﬁnd the shortest path to move a disk, instead of a point, from one position to another one; 2) calculate the Euclidean distance between two sets in R n ; and 3) compute the shortest path in an environment with obstacles appearing or disappearing at arbitrary times. The methods are based on solving ﬁnite dimensional stochastic diﬀerential equations with given initial values. And they are robust, eﬃcient and easy to implement. We illustrate the methods by some numerical examples.
Bengali handwritten numeric character recognition using denoising autoencoders

This work describes the recognition of Bengali Handwritten Numeral Recognition using Deep Denoising Autoencoder using Multilayer Perceptron (MLP) trained through backpropagation algorithm (DDA). To bring the weights of the DDA to some good solution a layer wise pre-training is done with Denoising Autoencoders. Denoising Autoencoders using MLP trained through backpropagation algorithm are made by introducing masking noise at input to the Autoencoder to capture meaningful information while hidden layers are remain untouched at pre-training. Those pre-trained Denoising Autoencoders are then stacked to build a DDA. DDA is then converted to a Deep Classifier (DC) by using a final output layer. After a final fine-tune best DC is selected to discriminate classes. Performance of the DC using DDA is compared with the Deep Autoencoder using MLP trained through backpropagation (DA) and Support Vector Machines (SVM). From the experiment it is evident that recognition performance of DDA that is 98.9% is higher than DA and SVM those are 97.3% and 97%. Using their performance at validation set results are further combined to build a Hybrid Recognizer that gives a performance of 99.1%.
Video-Based Vibrato Detection and Analysis for Polyphonic String Music

In music performance, vibrato is an important artistic effect, where slight variations in pitch are introduced to add expressiveness and warmth. Automatic vibrato detection and analysis, although well studied for monophonic music, has rarely been explored for polyphonic music, because of the challenge in multi-pitch analysis. We propose a video-based approach for detecting and analyzing vibrato in polyphonic string music. Specifically, we capture the fine motion of the left hand of string players through optical flow analysis of video frames. We explore two methods. The first uses a feature extraction and SVM classification pipeline, and the second is an unsupervised technique based on autocorrelation analysis of the principal motion component. The proposed methods are compared with audio-only methods applied to individual instrument tracks separated from original audio mixture using the score. Experiments show that the proposed video-based methods achieve a significantly higher vibrato detection accuracy than the audio-based methods especially in high polyphony cases. Further experiments also demonstrate the utility of the approach in vibrato rate and extent analysis.
The ß-Glucuronidase Klotho Hydrolyzes and Activates the TRPV5 Channel

Blood calcium concentration is maintained within a narrow range despite large variations in dietary input and body demand. The Transient Receptor Potential ion channel TRPV5 has been implicated in this process. We report here that TRPV5 is stimulated by the mammalian hormone klotho. Klotho, a β-glucuronidase, hydrolyzes extracellular sugar residues on TRPV5, entrapping the channel in the plasma membrane. This maintains durable calcium channel activity and membrane calcium permeability in kidney. Thus, klotho activates a cell surface channel by hydrolysis of its extracellular N-linked oligosaccharides.
Environmental psychology 1989-1994.

A review of research and theory on transactions between people and physical environments emphasizes new contributions to theory and empirical research published in major journals of environmental psychology, 1989-1994. Theories focused on arousal, load, stress, privacy-regulation, behavior settings, and transactional analysis; new theory increasingly incorporated situational and contextual variables. Empirical research emphasized field settings over the laboratory and employed increasingly diverse methods, populations, and cultures. Environmental design studies integrated scientific and applied goals through post-occupancy evaluation. New findings concerned features of residences, work places, hospitals, schools, prisons, and larger community environments. New studies also addressed environmental stressors (e.g., temperature, noise); effects of attitudes and behaviors on conservation, crime, pollution, and hazards; and issues for neighborhoods, public places, and natural environments. Directions for the future include integrated theory to guide research, more design experiments, and development of conventions for case studies.
Detection of Avian Retroviruses in Vaccines by Amplification on DF-1 Cells with Immunostaining and Fluorescent Product-Enhanced Reverse Transcriptase Endpoint Methods

ABSTRACT In order to ensure the safety of vaccines produced on avian cells, rigorous testing for the absence of avian retroviruses must be performed. Current methods used to detect avian retroviruses often exhibit a high invalid-test/false-positive rate, rely on hard-to-secure reagents, and/or have readouts that are difficult to standardize. Herein, we describe the development and validation of two consistent and sensitive methods for the detection of avian retroviruses in vaccines: viral amplification on DF-1 cells followed by immunostaining for the detection of avian leukosis virus (ALV) and viral amplification on DF-1 cells followed by fluorescent product-enhanced reverse transcriptase (F-PERT) for the detection of all avian retroviruses. Both assays share an infectivity stage on DF-1 cells followed by a different endpoint readout depending on the retrovirus to be detected. Validation studies demonstrated a limit of detection of one 50% cell culture infectious dose (CCID50)/ml for retrovirus in a 30-ml test inoculum volume for both methods, which was as sensitive as a classical method used in the vaccine industry, namely, viral amplification on primary chicken embryo fibroblasts followed by the complement fixation test for avian leukosis virus (COFAL). Furthermore, viral amplification on DF-1 cells followed by either immunostaining or F-PERT demonstrated a sensitivity that exceeds the regulatory requirements for detection of ALV strains. A head-to-head comparison of the two endpoint methods showed that viral amplification on DF-1 cells followed by F-PERT is a suitable method to be used as a stand-alone test to ensure that vaccine preparations are free from infectious avian retroviruses.
MODERN AUDIT METHOD ORIENTATION AND AUDIT PERFORMANCE OF CERTIFIED PUBLIC ACCOUNTANTS (CPAs) IN THAILAND

Modern audit method orientation (MAMO) is important for the adjustment of audit practice that is consistent with competitive circumstances. The purpose of this research is to provide a benchmark modern audit method to enhance business performance. This research uses Ordinary Least Squares (OLS) regression analysis to test all hypotheses with 262 certified public accountant (CPAs) in Thailand, There were six major findings of this research study: (1) computerized audit practice negatively impacts audit information reliability; (2) audit-client exchange positively affects audit evidence quality and audit report proficiency; (3) both enterprise risk synthesis and professional critical application positively affect audit evidence quality, audit report proficiency and audit information reliability; (4) there is an inverse relationship between audit flexibility focus and audit report proficiency; (5) there is a positive relationship between audit flexibility focus and audit information reliability; (6) audit evidence quality, audit information reliability, and audit report proficiency all have positive relationships with audit report proficiency and audit performance. In summary, MAMO provides an explanatory mechanism for, and is a major driver of audit performance.
The ridematching problem with time windows in dynamic ridesharing: A model and a genetic algorithm

The increasing ubiquity of mobile handheld devices paved the way for the dynamic ridesharing which could save travel cost and reduce the environmental pollution. The ridematching problem with time windows in dynamic ridesharing considers matching drivers and riders with similar routes (with drivers detour flexibility) and time schedules on short notice. This problem is hard to solve. In this work, we model the ridematching problem with time windows in dynamic ridesharing as an optimization problem and propose a genetic algorithm to solve it. We consider minimizing the total travel distance and time of the drivers (vehicles) and the total travel time of the riders and maximizing the number of the matches. In addition, we provide datasets for the ridematching problem, derived from a real world travel survey for northeastern Illinois, to test the proposed algorithm. Experimentation results indicate that the idea of dynamic ridesharing is feasible and the proposed algorithm is able to solve the ridematching problem with time windows in reasonable time.
An Authentication Protocol for Ubiquitous Health Monitoring Systems

Many emerging application domains are being developed for smart living environments. In particular, smart living environments that provide assistance for aging populations are becoming increasingly feasible. Therefore, there is an urgent requirement for a ubiquitous health monitoring (UHM) system. The proposed authentication scheme for UHM system consists of a wireless body area network, inexpensive sensors, a personal mobile device, and a medical server. To prevent fraudulent behavior, the mutual authentication between elements is necessary. However, the current security mechanism for UHM system is not clearly described. In such a way, a secure authentication for UHM system is proposed which can protect the patient-data well and is suitable for currently available wireless sensors.
Systematic review of educational interventions to improve glaucoma medication adherence: an update in 2015

Purpose: To evaluate the current state of the research on educational interventions whose aim is to improve glaucoma medication adherence. Methods: A systematic review of Pubmed, Embase and CINAHL was conducted to identify research studies evaluating educational interventions to improve glaucoma medication adherence. Studies were included if the intervention was described, the outcomes assessed glaucoma medication adherence and the focus of the research was on adults with glaucoma. The search was conducted on June 2, 2015. Results: Seventeen studies were identified that met the inclusion criteria. These included nine randomized controlled trials and eight observational studies. Eight of the studies demonstrated an impact on glaucoma medication adherence, though their outcome measures were too heterogeneous to estimate a pooled effect size. Conclusion: The interventions that successfully improved glaucoma medication adherence used an adequate dose of face-to-face counseling to overcome barriers to health behavior change alongside education about glaucoma.
Comparison of the structural characteristics of chromosome VI in Saccharomyces sensu stricto: The divergence, species‐dependent features and uniqueness of saké yeasts

Previous studies have revealed that chromosome VI of saké yeasts is much larger than that of the other strains of Saccharomyces cerevisiae. Southern analysis using segments of chromosome VI of a laboratory strain as probes suggested that the nucleotide sequence of a major portion of this chromosome is conserved, but considerable diversity was found in the distal parts in the other strains. Physical maps also indicated that differences in length of chromosome VI were mainly due to differences in its ends. NotI was found to generate 9 kb and/or 16 kb fragments from the left telomere of chromosome VI in most saké yeasts, but no fragment in the case of AB972. SfiI produced one or two 30–50 kb fragments from the right end of this chromosome in all saké yeasts tested, but produced a 20 kb fragment in the case of AB972. All S. cerevisiae strains not employed in saké brewing were the same as AB972 in these respects. S. paradoxus had one NotI site in chromosome VI, while S. bayanus had two, one of which is possibly common to both species. The SfiI site mentioned above was present in chromosome VI of all species, while that of S. bayanus and S. paradoxus each had a second site distinct from the other. Chromosome VI of S. pastorianus was not distinguishable from that of S. bayanus. © 1998 John Wiley & Sons, Ltd.