Tag Values Research Articles

Aggregated transfer factor of 137Cs in wild edible mushrooms collected in 2016–2020 for long-term internal dose assessment use

Ingestion of edible wild mushrooms collected in areas contaminated with radiocesium released from the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident may pose a risk of internal dose to their consumers. A species-specific aggregated transfer factor (Tag), which is calculated using radiocesium concentration in a wild mushroom species (Bq kg−1 wet mass [WM]) divided by the total concentration in the soil surface area (Bq m−2), would be a useful tool to estimate the dose from wild mushrooms by ingestion. In this study, we especially focused on the Tag data collected in 2016–2020 to use these values for a long-term dose assessment. We assumed that 137Cs concentrations after that year were almost the same, thus the soil-mushroom system would be in an apparent steady-state condition. In all, we could obtain Tag values of 137Cs in 62 edible wild mushroom species native to Japan. The geometric mean (GM) values were 1.5 × 10−3 m2 kg−1 WM using GMs of 13 saprobic type species and 5.0 × 10−3 m2 kg−1 WM using GMs of 21 mycorrhizal type species (N > 2). On average, the GMs of species-specific Tag values were 1.9 ± 0.9 times higher than those reported in a previous study of wild mushrooms made after the FDNPP accident, probably due to the different approaches for Tag calculation.

Non-Invasive Monitoring of Respiratory Rate and Respiratory Status during Sleep Using a Passive Radio-Frequency Identification System

In recent years, checking sleep quality has become essential from a healthcare perspective. In this paper, we propose a respiratory rate (RR) monitoring system that can be used in the bedroom without wearing any sensor devices directly. To develop the system, passive radio-frequency identification (RFID) tags are introduced and attached to a blanket, instead of attaching them to the human body. The received signal strength indicator (RSSI) and phase values of the passive RFID tags are continuously obtained using an RFID reader through antennas located at the bedside. The RSSI and phase values change depending on the respiration of the person wearing the blanket. Thus, we can estimate the RR using these values. After providing an overview of the proposed system, the RR estimation flow is explained in detail. The processing flow includes noise elimination and irregular breathing period estimation methods. The evaluation demonstrates that the proposed system can estimate the RR and respiratory status without considering the user's body posture, body type, gender, or change in the RR.

RELATIONSHIP BETWEEN S-INSULIN AND CHROMIUM, MANGANESE, COBALT, AND ZINC EXCRETION IN THE URINE IN HEALTHY KHYBER PAKHTUNKHWA PERSONS

Objective: Clinical research has shown that mineral imbalances, including those involving zinc, cobalt, manganese,and chromium, are crucial for the onset and development of diabetes mellitus. To ascertain the function of these traceelements in pathogenesis and the advancement of type 2 diabetes, this investigation aimed to ascertain if there was alink, if any, between the urine excretion of these minerals and s-insulin levels.Study Design: Cross-sectional study.Place and Duration of study: From January to December 2013, this research was carried out at Khyber MedicalUniversity (KMU), Peshawar, at the Institute of Basic Medical Sciences (IBMS).Materials and Methods: This research comprised 200 healthy people from the seven divisions of Khyber Pakhtunkhwa (Abbottabad, Peshawar, Mardan, Bannu, Dera Ismail Khan, Malakand, and Kohat) with normal fastingblood sugar (FBS), creatinine, cholesterol, HDL, LDL, and TAG values. Anthropometric measures and demographicdata were recorded. Serum creatinine, serum insulin, lipid profile, and fasting blood sugar were measured using a bloodsample. Urine samples were taken early in the morning to measure zinc, cobalt, manganese, and chromium levels.Results: It was discovered that there was a near-to-significant negative connection (r: -0.127, p: 0.073) betweenmanganese and s-insulin and a considerably high negative correlation (r: -0.191, p: 0.007) between chromium ands-insulin. Thus, elevated chromium and manganese excretion in the urine in healthy persons may eventually causeT2DM to proceed if improperly managed.Conclusion: the present study revealed a significant correlation of s-insulin with urinary excretion of chromium only.Keywords: Type II diabetes mellitus, s-insulin, trace elements.

Pengaruh Growth Opportunity, Corporate Social Responsibility, Good Corporate Governance dan Keputusan Investasi terhadap Nilai Perusahaan (Studi Pada Perusahaan Sektor Property, Real Estate & Building Construction Periode 2013-2017)

This study analyses influence growth opportunities, corporate social responsibility, managerial ownership, committee audit, and investment decision to the company property, real estate & buildings construction sector from 2013 to 2017. This research is quantitative, employing purposive sampling and obtaining samples from 49 companies. Technique analysis used is multiple regression by SPSS. The research results show that growth opportunities, corporate social responsibility, managerial ownership, committee audit, and investment decision have a significant influence on the company. Partial it shows that: 1) growth opportunities have a positive impact significantly on the company, based on the results of data analysis, the companies experiencing a decline and increasing growth opportunity are also proven to be followed by an increase and decrease in firm value or (PER). 2) corporate social responsibility does not have significantly on the company. Based on data analysis from 40 sample companies, only one company presents more than 50% GRI information. 3) Managerial ownership does not have significantly on the company. From the data analysis results, most companies do not have managerial ownership companies. 4) The audit committee has no significant effect on the company's value because an audit committee in the company is seen only as a fulfilment of the government's regulatory obligations. The audit committee has not carried out its obligations in a manner maximum. 5) Investment decisions significantly do not affect the company's value because most companies have not implemented meaningful investment decisions, as evidenced by a TAG value of less than 1.

Optimising sampling strategies for emergency response: Vegetation sampling

The lessons learned from the plant sampling campaigns implemented in the most Chernobyl affected countries are described. The variability of 137Cs activity concentrations in plants taken from a variety of sampling sites, as well as the uncertainties around the aggregated transfer factors (Tag) from soil to plants were estimated. The sampling sites covered both agricultural and natural lands in different landscapes: floodplain, plains, and watershed meadows. To determine parameters of the lognormal distribution of the 137Cs activity concentration in plants and the values of corresponding aggregated transfer factor (Tag) values, from 25 to 49 plant and soil samples were collected at each sampling site with the grid increment that varied from 1 to 10 m. The gradients of deposition i.e. monotonic changes (trends) of the contamination density conditioned by the global (in respect to study area) gradient of fallout were not observed in any of the study sites. Therefore, the variability of radionuclide contamination density (and activity concentrations in the soil) within the study sites were determined by only random factors such as microheterogeneity of radioactive deposition in a sampling point. The mean standard deviation of the logarithms of 137Cs activity concentrations in plants sampled in all such sites and the corresponding transfer factors were similar for all sites studied and were not dependent on the mean soil contamination density at the site, the type of radioactive fallout and the vegetation type. The values of the average standard deviation of the 137Cs activity concentration logarithms in plants and the corresponding transfer factors for the vegetation sampling area ≥1 m2 and the relative activity measurement uncertainties ≤10% were estimated as 0.4 ± 0.1 and 0.5 ± 0.1, respectively. A new simple method for optimization of the number of linked (conjugated) plant and soil samples as well as estimates of the activity concentration and transfer factor uncertainties when measuring composite samples were proposed. Based on the results of these studies, the recommendations were made to the sampling of plants for radionuclides.

Transfer of 137Cs to web-building spiders, Nephila clavata, and its pathways: a preliminary study using stable carbon and nitrogen isotope analyses

ABSTRACT Understanding the pathways of 137Cs transfer to spiders as generalist predators is useful to assess the long-term recycling of 137Cs through the food chain in forest ecosystems. Approximately 6.5 years after the Fukushima Dai-ichi Nuclear Power Plant accident, we collected spider samples at two different habitats (in a forest interior and along a river) in a forest and determined their 137Cs activity concentrations and stable carbon and nitrogen isotope ratio values (δ13C and δ15N). Across the locations, 137Cs was detected in all spiders, indicating that a significant fraction of the deposited 137Cs is still bioavailable. The geometric means of the transfer factor (Tag ) values were 1.3 × 10−3 m2 kg−1 and 0.8 × 10−3 m2 kg−1 for the spiders in the forest interior and along the river, respectively. There were no significant differences in the 137Cs activity concentration and Tag value between the locations. In contrast, the δ13C and δ15N for the spiders were significantly different between the locations, indicating different food resources of the spiders. The preliminary results indicate that the transfer of 137Cs to spiders can be a useful indicator of 137Cs recycling in forest ecosystems, but the transfer pathways remain difficult to identify because of high variability.

The effect of clinoptilolite as a feed additive on selected rainbow trout ( Oncorhynchus mykiss ) haematological and biochemical parameters, before and after stress treatment

Clinoptilolite, a natural zeolite, has been added to animal diets to enhance various production parameters. We conducted a feeding experiment, with subsequent stress treatment (lowered oxygen levels), to assess its effect on haematological and biochemical parameters in rainbow trout (Oncorhynchus mykiss). Our results indicated no significant effect of up to 6% clinoptilolite addition to the diet. Stress induction lowered MCHC, Fe and TAG values, but resulted in higher concentrations of ALP, GLUC and Mg. Cl and Na ions showed a divergent trend, with Cl ions decreasing with increasing clinoptilolite concentration before stress, but increasing continuously after stress, whilst Na concentrations decreased after stress at high clinoptilolite concentrations. Though many factors influence the stress response, we showed that lowering oxygen levels can significantly affect both haematological and biochemical parameters in rainbow trout.

On Revealing Shared Conceptualization Among Open Datasets

Openness and transparency initiatives are not only milestones of science progress but have also influenced various fields of organization and industry. Under this influence, varieties of government institutions worldwide have published a large number of datasets through open data portals. Government data covers diverse subjects and the scale of available data is growing every year. Published data is expected to be both accessible and discoverable. For these purposes, portals take advantage of metadata accompanying datasets. However, a part of metadata is often missing which decreases users' ability to obtain the desired information. As the scale of published datasets grows, this problem increases. An approach we describe in this paper is focused towards decreasing this problem by implementing knowledge structures and algorithms capable of proposing the best match for the category where an uncategorized dataset should belong to. By doing so, our aim is twofold: enrich datasets metadata by suggesting an appropriate category and increase its visibility and discoverability. Our approach relies on information regarding open datasets provided by users-dataset description contained within dataset tags. Since dataset tags express low consistency due to their origin, in this paper we will present a method of optimizing their usage through means of semantic similarity measures based on natural language processing mechanisms. Optimization is performed in terms of reducing the number of distinct tag values used for dataset description. Once optimized, dataset tags are used to reveal shared conceptualization originating from their usage by means of Formal Concept Analysis. We will demonstrate the advantage of our proposal by comparing concept lattices generated using Formal Concept Analysis before and after the optimization process and use generated structure as a knowledge base to categorize uncategorized open datasets. Finally, we will present a categorization mechanism based on the generated knowledge base that takes advantage of semantic similarity measures to propose a category suitable for an uncategorized dataset.

A UML profile for quality-based web service selection using logic scoring of preference method

In the modern information infrastructure, Web services have a very important role. Web services are one of the main tools for information creation, delivery and processing in society and economic life; for the formation and further evolution of the information space. Among the existing and constantly growing number of Web services, in a natural objective way, there are many Web services with the same or similar functional properties. This makes it possible to select among them such Web service that best satisfies the consumer’s requirements and is most suitable to consumer’s preferences on quality characteristics, for instance, cost, reliability, response time, etc. On the other hand, the consumer is not always possible to decide which Web service is the best from his point of view, because Web service has multiple quality characteristics. In this regard, many researchers formulate the problem of quality-based Web service selection as a multi-criteria decision-making problem and integrate the facilities for the decision-making into decision support systems. One of the methods of multi-criteria decision-making is the Logic Scoring of Preference (LSP) method. Given the current trends in the transition from document-based to model-based systems engineering, it is expedient to provide the design templates (meta-models or profiles) for the decision-making support systems developers. In this paper, a UML profile to design the quality-based Web service selection systems using the LSP method was proposed. Standard UML extension mechanisms (stereotypes, tag value definitions, and constraints) to capture the basic quality properties of the Web service and the rules of applying the LSP method operators for this profile were used. The efficiency of the proposed profile by the examples of modelling the LSP aggregators to aggregate the Web service quality characteristics was demonstrated. The correctness of the models created using the proposed profile in the MagicDraw modelling environment was verified.

On revealing shared conceptualization among open datasets

Openness and transparency initiatives are not only milestones of science progress but have also influenced various fields of organization and industry. Under this influence, varieties of government institutions worldwide have published a large number of datasets through open data portals. Government data covers diverse subjects and the scale of available data is growing every year. Published data is expected to be both accessible and discoverable. For these purposes, portals take advantage of metadata accompanying datasets. However, a part of metadata is often missing which decreases users’ ability to obtain the desired information. As the scale of published datasets grows, this problem increases. An approach we describe in this paper is focused towards decreasing this problem by implementing knowledge structures and algorithms capable of proposing the best match for the category where an uncategorized dataset should belong to. By doing so, our aim is twofold: enrich datasets metadata by suggesting an appropriate category and increase its visibility and discoverability. Our approach relies on information regarding open datasets provided by users — dataset description contained within dataset tags. Since dataset tags express low consistency due to their origin, in this paper we will present a method of optimizing their usage through means of semantic similarity measures based on natural language processing mechanisms. Optimization is performed in terms of reducing the number of distinct tag values used for dataset description. Once optimized, dataset tags are used to reveal shared conceptualization originating from their usage by means of Formal Concept Analysis. We will demonstrate the advantage of our proposal by comparing concept lattices generated using Formal Concept Analysis before and after the optimization process and use generated structure as a knowledge base to categorize uncategorized open datasets. Finally, we will present a categorization mechanism based on the generated knowledge base that takes advantage of semantic similarity measures to propose a category suitable for an uncategorized dataset.

Introduction of a novel quantitative scoring system for acanthosis nigricans and its validation in a pilot study.

Inconsistent data exist regarding the diagnostic value of acanthosis nigricans (AN) or skin tags as clinical markers for obesity or diabetes. In an outpatient department-based prospective study, we designed a scoring for AN severity (SCANS) to evaluate AN and skin tags, their correlation with obesity or diabetes. Quantification of AN in six anatomic sites, in consideration of the affected skin surface areas, texture changes, number of skin tags, leads to a total severity score between 0 and 46. Among 336 adult patients (aged ≥18 years) with AN, a higher BMI was associated with AN (r = 0.299, P < .001), but not with diabetes (P = .43), as compared with 243 age- and sex-matched controls without AN. Among nondiabetics, AN scores were significantly correlated with waist circumference (r = 0.131, P = .024) and total cholesterol levels (r = 0.155, P = .04). Skin tags alone in the absence of AN were not associated with obesity (P = .333) or diabetes (P = .164). The total AN scores were positively correlated with the presence of skin tags (r = 0.132, P < .001), and the involvement of anterior neck (r = 0.668, P < .001) and axilla (r = 0.793, P < .001). Knuckles and groins were unaffected in our series. Our results indicate that combination of AN with skin tags can be used as clinical marker for obesity, but not for diabetes. Large-scale studies on patients of different ethnic background are required to further validate our proposed scoring.

Growth, lipid content, and fatty acid profile of freshwater cyanobacteria Dolichospermum affine (Lemmermann) Wacklin, Hoffmann, &amp; Komárek by using modified nutrient media

In this study, Dolichospermum affine was cultivated under starvation and limitation conditions, using six different concentrations of nitrate (NaNO3) and phosphate (K2HPO4) in BG-11 medium. The biomass, pigments, proteins, carbohydrates, lipids, triacylglycerol-TAG, and fatty acid responses to different modified media were examined in terms of cell density, dry biomass, optical density, growth rate, chlorophyll-a, carotene content, and lipid productivity. Molecular characterization of D. affine isolates was performed using Fourier transform–infrared spectroscopy (FT-IR) and polymerase chain reaction (PCR). In the 20-day batch culture period, one of the modified media, %50 N and P limitation (N-PLimitation), exhibited higher values than the others in terms of cell density (1.41 × 107 cells/mL), dry biomass (1.68 gL−1), optical density (1.26), growth rate (0.48 day−1), chlorophyll-a (3.76 μg L−1), and total carotenoid (12.99 μg L−1). The maximum percentage lipid content of D. affine was obtained in the control group at 10.67%. Fatty acid profiles have been investigated in six conditions and consisted of 10 fatty acids. The basic saturated fatty acid palmitic acid was (C16:0) for all conditions, and its rate was 40.61% for starvation of N and P (N-PDeprivation) conditions. Oleic acid (C18:1) rate was detected in all groups, but the highest rate was found in the control group with 33.72%. In all conditions, TAG values were found similar, but the highest value was determined at 50% P and 100% N (PLimitation-NControl) (27.5%) modified media. Carbohydrate content (20.37%) was found to be high under N and P starvation (N-PDeprivation), while protein content (66.92%) was high under 50% N and 100% P (NLimitation-PControl) conditions. The results obtained from this study showed that nitrogen and phosphorus starvation and limitation affecting the biomass, valuable secondary metabolites and lipid accumulation and affected the fatty acid composition of D. affine cultures.

Comparison of Lipid Profile, Liver Enzymes, Creatine Kinase and Lactate Dehydrogenase Among Type II Diabetes Mellitus Patients on Statin Therapy.

BackgroundDiabetes mellitus (DM) is an epidemic disease affecting millions worldwide; the majority being type 2 diabetes mellitus (T2DM). Diabetes mellitus has been shown to be an important risk factor for the development of a variety of cardiovascular diseases, which are becoming common in Ethiopia. Consequently, risk-reducing statin therapy is recommended for nearly all patients with T2DM at 40 years of age or older regardless of cholesterol level. However, some controversies exist regarding its safety.ObjectiveThe aim of this study was to assess and compare the levels of lipid profile, liver enzymes, creatine kinase-MB (CK-MB) and lactate dehydrogenase (LDH) among T2DM patients on statin therapy.MethodologyA hospital-based cross-sectional study was conducted on a total of 100 T2DM patients. The study participants were divided into four groups consisting of equal numbers of participants (n = 25). Group I, II, and III were T2DM patients who were on statin therapy for 14 days–6 months, 6–18 months and ˃18 months, respectively. Group IV consisted of T2DM patients who were not on statin therapy. Convenient sampling technique was implemented till the required number had been achieved. Sociodemographic data was collected by using a standardized questionnaire. Fasting blood was collected and lipid profile, liver enzymes, CK-MB, LDH and fasting blood sugar were analyzed. Data was entered using epi-data and analyzed by one way ANOVA followed by Tukey post hoc multiple comparison tests using SPSS V. 20.00. A P-value < 0.05 was considered statistically significant.ResultsThe mean values of total cholesterol and TAG were significantly lower among group III as compared to group I (P-values = 0.019 & 0.01). Similarly, LDL-c was significantly lower among group III as compared to group I (P = 0.022) and group IV (P = 0.027). Serum liver enzymes, CK-MB and LDH were not significantly different among the study groups (P > 0.05). The mean values of alanine aminotransferase (ALT) and AST were found within normal range while mean ALP was higher in all study groups. Fasting blood glucose value was not significantly different among the study groups, but higher than normal cut-off value in all groups.ConclusionStatin therapy taken for a longer time has an effect in lowering total cholesterol, LDL- c and TAG in T2DM patients. Statin therapy has not brought significant change on CK-MB, LDH, liver enzymes and other parameters among T2DM patients.

Integrating Sentiment Analysis on Hybrid Collaborative Filtering Method in a Big Data Environment

Most of the traditional recommendation systems are based on user ratings. Here, users provide the ratings towards the product after use or experiencing it. Accordingly, the user item transactional database is constructed for recommendation. The rating based collaborative filtering method is well known method for recommendation system. This system leads to data sparsity problem as the user is unaware of other similar items. Web cataloguing service such as tags plays a significant role to analyse the user’s perception towards a particular product. Some system use tags as additional resource to reduce the data sparsity issue. But these systems require lot of specific details related to the tags. Existing system either focuses on ratings or tags based recommendation to enhance the accuracy. So these systems suffer from data sparsity and efficiency problem that leads to ineffective recommendations accuracy. To address the above said issues, this paper proposed hybrid recommendation system (Iter_ALS Iterative Alternate Least Square) to enhance the recommendation accuracy by integrating rating and emotion tags. The rating score reveals overall perception of the item and emotion tags reflects user’s feelings. In the absence of emotional tags, scores found in rating is assumed as positive or negative emotional tag score. Lexicon based semantic analysis on emotion tags value is adopted to represent the exclusive value of tag. Unified value is represented into Iter_ALS model to reduce the sparsity problem. In addition, this method handles opinion bias between ratings and tags. Experiments were tested and verified using a benchmark project of MovieLens dataset. Initially this model was tested with different sparsity levels varied between 0%-100 percent and the results obtained from the experiments shows the proposed method outperforms with baseline methods. Further tests were conducted to authenticate how it handles opinion bias by users before recommending the item. The proposed method is more capable to be adopted in many real world applications

Geo-Tagged Photo Metadata Processing Method for Beijing Inbound Tourism Flow

Technological advances have led to numerous developments in data sources. Geo-tagged photo metadata has provided a new source of mass research data for tourism studies. A series of data processing methods centering on the various types of information contained in geo-tagged photo metadata have thus been proposed; as a result, the development of tourism studies based on such data has advanced. However, an in-depth study of the data processing methods designed to conduct tourist flow prediction based on geo-tagged photo metadata has not yet been conducted. In order to acquire accurate substitutive data regarding inbound flows in cities, this paper introduces and designs several methods, including data screening, text data similarity calculation, geographical location clustering, and time series data modelling, in order to realize a data preprocessing model for inbound tourist flows in cities based on geo-tagged photo metadata. Wherein, the entropy filtering method was introduced to aid in determining whether the data were posted by inbound tourists; whether the inbound persons’ activities were related to tourism was judged through the calculation of tag text similarity; an efficient clustering method based on geographic grid partition was designed for cases in which the tag values were empty; finally, the time series of the inbound tourist flows of a certain region and period were obtained through data statistics and normalization. For the empirical research, Beijing City in China was selected as the research case, after which the feasibility and accuracy of the methods proposed in this paper were verified through data correlation analysis between Flickr data and real statistical yearbook data, as well as analysis of the prediction results based on a machine learning algorithm. The data preprocessing method introduced and designed in this paper provides a reference for the study of geo-tagged photo metadata in the field of tourism flow prediction. These methods can effectively filter out inbound tourist flow data from geotag photo metadata, thus providing a novel, reliable, and low-cost research data source for urban inbound tourism flow forecasting.

An augmented reality based tool for contribution to OpenStreetMap

The realization of pervasive computing massively piqued the productivity of the ways by which users perceive information from their environment. The amalgam of augmented reality and device ubiquity can assist users in mapping new Points Of Interest (POI) in their vicinity. This paper discusses a prototype developed for mobile devices with the objective of designing simpler user experiences for amateur users for contributing to OpenStreetMap (OSM). The application has exploited the inertial sensors and camera of the mobile devices, hence capacitating it to function as a mobile augmented reality tool. Often it is perplexing for novice users to add data conforming to the data standards. A feature to fetch the related tags used in OSM for the node data elements is an integral part of this work. The tool also fetches the existing POIs, displays them using color-coding and allows addition of missing data and correct the incorrect tag values. The overall aim is to reduce the coverage of unmapped areas and improve the completeness feature of OSM data. Thereby the tool extends the availability and opportunities of mapping OSM and enhances its degree of disposability for various geographic information system domains.

Changes of complement and oxidative stress parameters in patients with acute cerebral infarction or cerebral hemorrhage and the clinical significance.

Changes of complement and oxidative stress parameters in patients with acute cerebral infarction (ACI) or cerebral hemorrhage (CH), and their clinical significance were explored. A total of 122 patients with ACI or CH admitted to the People's Hospital of Zhangqiu Area from August 2018 to September 2019 were collected. There were 59 ACI patients assigned into a cerebral infarction group (CIG) and further 63 CH patients in a cerebral hemorrhage group (CHG). Additionally, 53 healthy people in physical examination during the same period were enrolled as a control group (CG). Both the CIG and the CHG were treated with edaravone, Xueshuantong, brain protein hydrolysates, aspirin and statin-related drugs. The levels of complement C3, complement C4, superoxide dismutase (SOD), and total antioxidant capacity (TAC) were determined. Receiver operating characteristic (ROC) curves were employed to analyze the predictive value of C3, C4, SOD and TAG in ACI and CH, and logistic regression was used to analyze the risk factors of stroke. Both CIG and CHG showed higher C3 level, and lower C4, SOD and TAC levels than the CG. The NIHSS <4 group and the NIHSS ≥4 group showed higher hs-C3 level, and lower SOD and TAC levels than the CG (all P<0.05), and the NIHSS <4 group showed lower C3 level and lower SOD and TAC levels than the NIHSS ≥4 group (all P<0.05). Hypertension and hyperlipidemia were independent risk factors of stroke. The serum complement and oxidative stress parameters in patients with ACI or CH can be determined through routine examination, and the nerve function deficit could be assessed by determining the complement and oxidative stress parameters in clinical practice.

Parasites as indicators of fish population structure at two different geographical scales in contrasting coastal environments of the south-western Atlantic

Fish parasites are widely used as biological tags of stocks and populations of their hosts at large spatial scales, but less frequently at small geographical scales. The application of this methodology at small scales requires heterogeneity in the availability of infective stages of parasites and hosts with high site fidelity. Here we tested the value of parasite tags at both large and small spatial scales using the Argentine silverside, Odontesthes argentinensis (Valenciennes, 1835) as a model. This is a marine fish that can tolerate a wide range of salinities and has great phenotypic plasticity, which has promoted adaptive divergences at reduced spatial scales across populations, in the absence of geographical barriers isolating them, which could be reflected in their parasite assemblages. A total of 142 specimens were examined for parasites. Samples were collected at two close localities from each of two different biogeographical regions of the south-western Atlantic. The structure and composition of both parasite infracommunities and component communities were analysed through uni and multivariate statistics. All sites were significantly different in their infracommunity structure, even those that were at shorter distances from each other. However, infracommunity composition and component community structure showed higher similarities within each region than between samples from different ones. These results proved that fish parasites are valuable tools to assess fine-scale population structure of their hosts when site fidelity and adaptations to local conditions prevail. The inclusion of parasite indicators as complementary tools in such kind of studies can provide valuable evidence for those resources requiring stock assessments and management at fine-scale, in order to prevent negative impacts over exploited populations.

Multimedia content recommendation in social networks using mood tags and synonyms

The preferences of Web information purchasers are changing. Cost-effectiveness (i.e., an emphasis on performance with respect to price) is becoming less regarded than cost-satisfaction, which emphasizes the purchaser’s psychological satisfaction. A method to improve a user’s cost-satisfaction in recommending multimedia content is to use the mood-inherent in multimedia items. An example of applications using this method is SNS (Social Network Services) based on mood folksonomy. However, such applications encounter problems due to synonyms. This paper suggests a cost-satisfactory method of multimedia content recommendation to solve the problem of synonyms. It utilizes arousal and valence (AV), which express the mood of multimedia content, as its internal tag. A method that defines the relationship between the AV values of multimedia content and the AV values of mood tags is suggested by considering synonyms and the correlations between them. Furthermore, a multimedia content-recommendation method based on the relationship is suggested and tested. The analysis shows that the AV values of multimedia content with a mood tag and its synonyms reside in the area of the mood tag in the Thayer model. The performance of this method exceeds that of a keyword-based recommendation method.

PF817 INTENSIVE PLAN OF THERAPEUTIC PLASMA EXCHANGE IN PATIENT WITH EXTREME HYPERTRLIGLYCERIDEMIA DUE TO L‐ASPARAGINASE IN THE CONTEXT OF SMILE PROTOCOL IN T/NK NASAL LYMPHOMA TREATMENT

Background:A 42 year‐old male patient was diagnosed in July 2018 of extranodal T / NK lymphoma, nasal type, EBV + CD56 +, IIA Stage, IPI 1, with right thigh mass and inguinal adenopathies. He received chemotherapy according to the SMILE protocol, that included dexamethasone, methotrexate, ifosfamide, etoposide and L‐asparaginase, starting in August 2018 together with local radiotherapy in the mass concomitantly. As a personal medical history, he was under treatment with Rosuvastatin for familial hypercholesterolemia and hypertriglyceridemia, that was well controlled.Aims:To prove that carry out an aggressive prophylactic apheresis schedule, allows to reduce the complications derived from hypertriglyceridemia due to L‐ASA and to administer full chemotherapy that entails greater possibilities of cure.Methods:One T/NK Nasal Lymphoma patient with familial dyslipidemia suffered multiple events of extreme hypertriglyceridemia (TAGs&gt;1200) that required a total of twenty‐two therapeutic plasma exchanges (TPE) to be able to administer Lasparaginase.Results:During the first cycle after the 5th dose of L‐asparaginase the patient presents extreme hypertriglyceridemia (9016 mg /dl) and two TPE was done with very good response, TAGs of 511 mg/dl and 251 mg/dl after the 1st and 2nd apheresis, respectively. Due to it was an unexpected event, conservative management was performed and he did not receive the last two doses of L‐Asa. Due to the importance of L‐ASA,we optimized oral treatment and carried out an intense apheresis program since second cycle and every L‐ASA doses was received. The patient achieve completed metabolic response after the 3rdcycle. On the day +20 of the 6th cycle, coinciding with the last dose of L‐asa, it was decided not to make prophylactic plasma exchanges for TAG values of less than 1500 mg/dl (1361 mg /dl). 48 hours later he went to the emergency department and was diagnosed of acute acalculous pancreatitis in the context of hypertriglyceridemia secondary to L‐ASA (TAGs 7168 mg / dl). Two plasma exchanges were performed on days +23 and +24, with good response (decrease from 7168 to 580 TAGs).Summary/Conclusion:In patients with a family history of dyslipidemia maintain prophylactic apheresis until the administration of L‐asparaginase has been fully completed, maintaining &lt;1000 TAG level is essential to improve the results.Moreover, an exhaustive follow‐up should be carried out in these patients, confirming 24 hours after the end of treatment that the TAGs value continues to be &lt;1000 mg/dl and the patient is not at risk of developing pancreatitis.