Miracle-dz/UniFAR-FTUs huggingface dataset:
Aalborg Universitet Off-Flavour Producing Bacteria in Aquaculture

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Mitigating infection risk with immunotherapy for rheumatoid arthritis

The last two decades have seen major advances in the treatment of rheumatoid arthritis, with the introduction of combination of disease-modifying antirheumatic drug strategies and the advent of biologic therapies. Accordingly, with aggressive immunosuppression, rheumatologists are required to be more alert to infection risk. Even prior to immune suppression infections are more frequent in rheumatoid arthritis and are significant contributors to morbidity and mortality. The etiology is multifactorial reflecting an interaction between immunological dysfunction, disease activity and immunosuppression. There are several steps clinicians can take to mitigate against the risk of infection: these include appropriate patient selection for aggressive treatment strategies, vaccination against preventable pathogens and utilization of lower risk drugs in at-risk subjects. This review will address these aspects of immunosuppression.
Static and dynamic analysis of bistable piezoelectric- composite plates for energy harvesting

This paper presents an arrangement of bistable composite plates with bonded piezoelectric patches to perform broadband vibration-based energy harvesting from ambient mechanical vibrations. These bistable nonlinear devices have the potential to exhibit improved power generation compared to conventional resonant systems and can be designed to occupy smaller volumes than bistable magnetic cantilever systems. In this paper we initially present the results of an optimization study to generate greater electrical power by discovering the correct geometric configuration for energy harvesting based on the static states of the device. The results consider the optimal choice of device aspect ratio, laminate thickness, laminate stacking sequence, and piezoelectric surface area. Increased electrical output is found for geometries and piezoelectric configurations which have not been considered previously. This study is then extended to include dynamic considerations of both the static shapes and the snap-through transition. Optimum designs are shown to be sensitive to the vibration pattern that is being harvested. The optimum geometric configurations based on the static analysis alone are not optimal under all dynamic conditions.
A Fast and Innovative Approach Towards an Automatic Target Recognition System Implementation on a Reconfigurable Architecture

Automatic Target Recognition (ATR) is the methodology used by computers to detect, classify and recognize an object without human interaction. ATR is considered to be one of the most computation-intensive applications due to the amount of images that have to be processed in real-time. For this paper, the mapping of the Second Level of Detection (SLD) process of an ATR algorithm has been implemented considering that SLD is the bottleneck of an ATR system. The chosen reconfigurable architecture was the second generation of the MorphoSys reconfigurable architecture (M2). By combining a multi-processing programming scheme and a fast SIMD reconfigurable architecture, this paper proposes a fast and innovative approach at targeting an ATR system.
Effect of the Swede-O Ankle Brace on Talar Tilt in Subjects With Unstable Ankles

This study examined the effect of the Swede-O ankle brace on talar tilt in subjects with unstable ankle joints. Six college-age females with talar tilts greater than 9.5° at 15 decaNewtons (daN) of force on a Telos stress test device participated in the study. Each subject was X-rayed at five levels of force (0,6,9, 12, and 15 daN), first with a bare ankle then wearing a Swede-O ankle brace. A two-factor (Brace × Force) analysis of variance revealed a main effect for force, but no main effect for brace and no Brace × Force interaction. For the unbraced ankles, mean displacements were 8.2, 10.4, 11.9, and 13.1° at the four levels of force, respectively. After application of the brace, the talar tilts were 5.7, 8.5, 11.1, and 12.8°, respectively. These findings suggest that the Swede-O ankle brace was not effective in reducing talar tilt in subjects with unstable ankles. Any efficacy of the brace may be due to other factors, such as proprioceptive feedback during inversion.
Non-Gaussian prior Fast Bayesian Matching Pursuit

A fast matching pursuit method (nGpFBMP) is introduced which performs Bayesian estimates of sparse signals even when the signal prior is non-Gaussian/unknown. It is agnostic on signal statistics and utilizes a greedy approach and order-recursive updates to determine the approximate MMSE estimate of the sparse signal. Simulation results demonstrate the power and robustness of the method.
A Comparison of Different Approaches to Document Representation in Turkish Language

Recently, deep learning methods have demonstrated state-of-the-art performance in numerous complex Natural Language Processing (NLP) problems. Easy accessibility of high-performance computing resources and open-source libraries makes Artificial Intelligence (AI) approaches more applicable for researchers. This sudden growth of available techniques shaped and improved standards in the field of NLP. Thus, we find an opportunity to compare different approaches to document representation, owing to various open-source libraries and a large amount of research. We evaluate four different paradigms to represent documents: Traditional bag-of-words approaches, topic modeling, embedding based approach and deep learning. As the main contribution of this article, we aim at evaluating all these representation approaches with suitable machine learning algorithms for document categorization problem in the Turkish language. The supervised architecture uses a benchmark dataset specifically prepared for this language. Within the architecture, we evaluate the representation approaches with corresponding machine learning algorithms such as Support Vector Machine (SVM), multi-nominal Naive Bayes Algorithm (m-NB) and so forth. We conduct a variety of experiments and present successful results for the Turkish document categorization. We also observed that tradition approaches have still comparable results with Neural Network models in terms of document classification.
DIRECT EFFECTS OF ALCOHOL INFLUENCING OROFACIAL HEALTH : ENAMEL EROSION AND DRY MOUTH SYNDROME

According to the World Health Organization there are almost two billion people worldwide who consume alcohol on a regular basis. It’s a common abuse and almost 80 million are diagnozed with “alcohol abuse disorders” (WHO 2002, 2004). Excessive alcohol consumption is related to more than 60 different medical conditions, as suicide, homicide and different forms of accidents. Some conditions are acute, while other conditions such as liver cirrhosis, chronic pancreatitis, haemorrhagic stroke and various forms of cancer, are chronic consequences. Non-carious destructions of teeth like dental erosion are also associated with frequent alcohol consumption, because of precipitation of salivary proline-rich proteins caused by polyphenols present in most alcoholic drinks. The high concentration of organic and inorganic acids and the habit of keeping the alcoholic drink in the mouth can cause chronic infl ammations of the soft tissues in the mouth and can increase the negative side effects from metals of crowns, bridges, orthodontic devises and various restorations. A literature review has been made due to the authors clinical observations and experiences.
Stochastic Modelling as a Tool for Seismic Signals Segmentation

In order to model nonstationary real-world processes one can find appropriate theoretical model with properties following the analyzed data. However in this case many trajectories of the analyzed process are required. Alternatively, one can extract parts of the signal that have homogenous structure via segmentation. The proper segmentation can lead to extraction of important features of analyzed phenomena that cannot be described without the segmentation. There is no one universal method that can be applied for all of the phenomena; thus novel methods should be invented for specific cases. They might address specific character of the signal in different domains (time, frequency, time-frequency, etc.). In this paper we propose two novel segmentation methods that take under consideration the stochastic properties of the analyzed signals in time domain. Our research is motivated by the analysis of vibration signals acquired in an underground mine. In such signals we observe seismic events which appear after the mining activity, like blasting, provoked relaxation of rock, and some unexpected events, like natural rock burst. The proposed segmentation procedures allow for extraction of such parts of the analyzed signals which are related to mentioned events.
Stratejik İnsan Kaynakları Uygulamaları ile Otel İşletmelerinin Finansal Olmayan Örgüt Performansı Arasındaki İlişkinin Belirlenmesi

Stratejik insan kaynaklari yonetimi Turkiye gibi gelismekte olan ekonomilerde kurumsal isletmelerin bile ilgisini yeni yeni cekmeye baslamis bir konu niteligindedir. Stratejik insan kaynaklari yonetimi calisma kapsaminda otel isletmeleri acisindan ele alinarak isletmelerin finansal olmayan performansi kapsaminda degerlendirilmektedir. Arastirma hipotezleri 209 orta kademe yoneticiden elde edilmis veriler ile test edilmistir. Calisma verilerinin analizinde betimsel tekniklerden ve degiskenler arasindaki iliskilerin ortaya konmasinda ise iliskisel testlerden yararlanilmistir. Korelasyon degerinin belirlenmesi ile degiskenler arasindaki iliskinin pozitif yonlu oldugu ortaya konulurken, coklu regresyon analizi ile stratejik insan kaynaklari uygulamalarinin orgut performansi uzerindeki etki katsayisi belirlenmistir (r=0,447).
Heterogeneous Dataflow Hardware Accelerators for Machine Learning on Reconfigurable Hardware ?

The trend to develop increasingly more intelligent systems leads directly to a considerable demand for more and more computational power. However, in certain application domains, such as robotics, there are several technical limitations, like restrictions regarding power consumption and physical size, that make the use of powerful generic processors unfeasible. One possibility to overcome this problem is the usage of specialized hardware accelerators, which are designed for typical tasks in machine learning. In this paper, we propose an approach for the rapid development of hardware accelerators that are based on the heterogeneous dataflow computing paradigm. The developed techniques are collected in a framework to provide a simple access to them. We discuss different application areas and show first results in the field of biosignal analysis that can be used for rehabilitation robotics.
Analysis Different Types of Environmental Regulations and Heterogeneous In fl uence on “ Green ” Productivity : Evidence from China

Article history: Received 2 March 2016 Received in revised form 31 August 2016 Accepted 26 October 2016 Available online xxxx This paper attempts to examine if the “strong” version of Porter Hypothesis is supported in China by investigating how different regulatory instruments and the relative stringency impact “green” productivity. We use a slacksbasedmeasure (SBM) and Luenberger Productivity Index, accounting for undesirable outputs, to evaluate the industrial “green” productivity growth rates of China's 30 provinces. The estimates imply an unsustainable development model in China with significant regional differences. By employing a panel threshold model and a province-level panel dataset during 2000–2012, empirical results show that both command-and-control and market-based regulation have a non-linear relationshipwith and can bepositively related to “green” productivity but with different constrains on regulation stringency: there are double thresholds with the command-andcontrol and exists an optimal range of stringency for productivity improvement; while a single threshold has been found with the market-based regulation and its current stringency is reasonable for most of provinces. Moreover, based on China's reality, the productivity effect driven by market-based regulation is much stronger than that of the command-and-control. The mechanism of informal regulation is much more complicated. Consequently,wefind evidence to support the “strong” PorterHypothesis that reasonable stringency of environmental regulations may enhance rather than lower industrial competitiveness. © 2016 Elsevier B.V. All rights reserved.
investigation of the risk factors of vascular calcification in maintenance hemodialysis

Objective: To explore the risk factors of vascular calcification by analyzing the aorta status of the Maintenance Hemodialysis (MHD) patients by lateral plain X-ray. Methods: In total, 114 MHD patients received lateral plain X-ray of the abdomen. The scores of Abdominal Aorta Calcification (AAC) were calculated. According to the AAC score, all MHD patients were divided into the no or mild calcification group (A group), and moderate or severe calcification group (B group). The levels of total cholesterol, serum creatinine, serum iron, intact parathyroid hormone, blood glucose, blood calcium and blood phosphorous were quantitatively measured in two groups. We also calculated the adjusted calcium and recorded information such as dialysis vintage, age and gender. The risk factors of vascular calcification in MHD patients were analyzed by logistic regression analysis. The factors with P<0.10 analyzed by univariable logistic regression was included into multi-variables logistic regression analysis. Results: Among 114 MHD patients, 80 patients were assigned into A group and 34 into B group. Compared with A group, the age of MHD patients was significantly older in B group (P<0.05). Uni-variable logistic regression analysis revealed that the age, adjusted calcium, blood glucose level and calcium-containing drugs intake were probably correlated with the incidence of vascular calcification (all P<0.10). Three parameters with statistical significance by uni-variable logistic regression, along with gender, calcium and phosphorus product and dialysis vintage were included into the multi-variables logistic regression analysis. Positive correlations were found between the severity of vascular calcification and the age (P<0.001), adjusted calcium (P=0.028) and calcium and phosphorus product (P=0.002). Conclusions: The age, adjusted calcium and calcium and phosphorus product are the risk factors of vascular calcification. Lowering the serum calcium level may facilitate regression of vascular calcification in MHD patients.
T Helper Cells in the Immunopathogenesis of Systemic Sclerosis – Current Trends

Abstract Systemic sclerosis (SSc) is a chronic progressive autoimmune disease characterized by skin and multiorgan involvement with alterations in both the innate and adaptive immunities. The hallmark of the disease is widespread fibrosis engaging the skin and multiple internal organs, as well as the musculoskeletal system. There is mounting evidence that T cells are key players in the pathogenesis of scleroderma. The current review discusses the role of the different T helper (Th) lymphocyte subsets in the processes of inflammation and fibrosis, characteristics for the pathogenesis of the disease. Cytokines produced by Th cell populations have a major effect on endothelial cells and fibroblasts in the context of favoring/inhibiting the vasculopathy and the fibrosis spread. The Th2 pro-fibrotic cytokines IL-4 and IL-13 have been shown to induce collagen synthesis by fibroblasts, whereas IFN-γ demonstrates an inhibitory effect. Increased Th17 cells are present in the scleroderma skin infiltrates. The combination of IL-17, IFN-γ and TGF-β levels in CD45RO and CD45RA cells from patients with SSc is useful to distinguish between the limited and the diffuse phenotype of the disease. There are accumulating data for functional and numerical alterations in the Tregs in SSc. High levels of TNF-α which might reduce the suppressive ability of Tregs have been described. According to some studies, the number of Tregs in scleroderma skin biopsies has been decreased against the normal absolute number of Tregs in peripheral blood of the same patients, which suggests suppressed immunomodulatory response. Other studies reported increased frequency of Tregs in peripheral blood of patients with systemic sclerosis and established a correlation with disease activity. The main immunological challenge remains the identification of the trigger of the autoimmune response in SSc, the causes for preferential Th2-type cell responses and the immunological differences between the diffuse and the limited cutaneous form of the disease.
Maintenance of discovered high average-utility itemsets in dynamic databases

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TRIGONOMETRIC WORLD STATE FUSION

In this paper an approach to data fusion for world state communication in RoboCup 4-Legged League is proposed. The trigonometric localization within a multiagent system is presented, explaining its advantages and disadvantages when compared to the usual method of data communication in this robotic soccer league. It is also presented a method to dynamically decide when to use the new data fusion method, as well as a proposal for evaluating the effectiveness of the presented solution.
An Evaluation of Three Nutrition Labeling Formats for Restaurant Menus

This study evaluated three menu nutrition labeling formats: calorie only information, a healthy symbol, and a nutrient list. Daily sales data for a table-service restaurant located on a university campus were recorded during a four-week period from January to February 2013 to examine changes in average nutritional content of the entrees purchased by customers when different nutrition labels were provided. A survey was conducted to assess the customers’ use of nutrition labels, their preferences among the three labeling formats, their entree selections, their cognitive beliefs with regard to healthy eating, and their demographic characteristics. A total of 173 questionnaires were returned and included in data analysis. Analysis of Variance (ANOVA) and regression analyses were performed using SAS. The results showed that favorable attitudes toward healthy eating and the use of nutrition labels were both significantly associated with healthier entrée selections. Age and diet status had some effects on the respondent’s use of nutrition labels. The calorie only information format was the most effective in reducing calories contained in the entrees sold, and the nutrient list was most effective in reducing fat and saturated fat content of the entrees sold. The healthy symbol was the least effective format, but interestingly enough, was most preferred by respondents. The findings provide support for future research and offer implications for policy makers, public health professionals, and foodservice operations.
Isolation and screening of D-amino acid amidase producing bacteria from soil samples

Hongpattarakere, T.1, Seksun, N.2 and Suriya, A.3 Isolation and screening of D-amino acid amidase producing bacteria from soil samples Songklanakarin J. Sci. Technol. , 2003, 25(2) : 255-265 Isolation and screening of D-amino acid amidase producing bacteria from fifty-four soil samples taken on Hat Yai campus of Prince of Songkla University were conducted using acclimation culture technique in medium broth containing D-phenylalanine amide as a sole source of nitrogen. Bacteria capable of growing at 30oC and 45oC were screened and isolated. Twenty-one and seventeen soil samples showed the hydrolysis of D-phenylalanine amide to D-phenylalanine determined by thin layer chromatography and forty-seven and thirty-four strains were isolated at 30oC and 45oC, respectively. Each isolate obtained was screened for its ability to degrade D-phenylalanine amide. Thirteen of forty-seven strains and nineteen of thirty-four strains isolated at 30oC and 45oC, respectively exhibited D-phenylalanine amide degradation. However, only isolate BS16 exhibited degradation toward D-tert-leucine. SHORT COMMUNICATION 1Ph.D. (Food Science) Department of Industrial Biotechnology, Faculty of Agro-Industry, Prince of Songkla University, Hat Yai, Songkhla 90112 2B.Sc. (Agro-Industry) Chotiwa Food Prosessing Co.Ltd., 4/3 Moo 3 Asia Rd., Na Mom, Songkhla 90310 3B.Sc. (Agro-Industry) River Kwai International Industrail Co.Ltd., Muang, Kanchanaburi 71000 Thailand. Corresponding e-mail: htipparat@ratree.psu. ac.th Received, 14 June 2002 Accepted, 3 February 2003 Songklanakarin J. Sci. Technol Vol. 25 No. 2 Mar.-Apr. 2003 256 Isolation and screening of D-amino acid amidase producing bacteria Hongpattarakere, T. , et al. The enzyme activity toward D-phenylalanine amide was detected from the bacterial cells, but not in supernatant indicating that the amidase was an intracellular enzyme. The bacterial cells grown in the broth with and without D-amino acid amide showed enzyme activity leading to the conclusion that it was constitutive enzyme.
CHARACTERIZATION OF CELLULOSE NANOCRYSTAL ISOLATED FROM OIL PALM EMPTY FRUIT BUNCH USING FORMIC ACID HYDROLYSIS

Cellulose nanocrystals (CNCs) is a renewable and biodegradable nanomaterial which has wide application values and can be isolated from various sources such as plant, animal and microorganism. Oil palm empty fruit bunch (OPEFB) is a potential biomass produced from extraction of oil palm in oil palm mill. In this work, CNCs from OPEFB undergo two types of treatment which are pre-treatment using sodium hydroxide (NaOH) and sodium hypochlorite (NaClO) to remove lignin and hemicellulose followed by 90% formic acid (FA) hydrolysis by using different temperature and time. Fourier Transform Infrared (FTIR) analysis showed peak at 1742.47 cm-1 indicate that carbonyl stretching in the acetyl and uronic ester groups of hemicelluloses or the ester carbonyl groups in the p-coumaric units of the lignin were successfully removed. Furthermore, the functional group of cellulose were retained by observing peak at 1056.72 cm-1. The morphological analysis of CNC with different temperature isolated from EFB by using Field Emission Scanning Electron Microscope (FESEM) displayed clear needle like structure while in different time is globular structure. The diameter of needle like structure in EFB-CNC decrease when temperature increase. The X-Ray Diffraction (XRD) shows the crystallinity index of EFB-CNCs with different temperature and different time which are 66-69% and 9-13% respectively. CNCs isolated from OPEFB using 90% FA hydrolysis at 45 °C have similar properties compared to isolation using strong acid hydrolysis.