Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Sensor Data Segmentation for Real- time Activity Recognition

Approaches and algorithms for activity recognition have recently made substantial progress due to advancements in pervasive and mobile computing, smart environments and ambient assisted living. Nevertheless, it is still difficult to achieve real-time continuous activity recognition as sensor data segmentation remains a challenge. This paper presents a novel approach to real-time sensor data segmentation for continuous activity recognition. Central to the approach is a dynamic segmentation model, based on the notion of varied time windows, which can shrink and expand the segmentation window size by using temporal information of sensor data and activities as well as the state of activity recognition. The paper first analyses the characteristics of activities of daily living from which the segmentation model that is applicable to a wide range of activity recognition scenarios is motivated and developed. It then describes the working mechanism and relevant algorithms of the model in the context of ontology-based activity recognition. The presented approach has been implemented in a prototype system and evaluated in a number of experiments. Results have shown average recognition accuracy above 83% in all experiments for real time activity recognition, which proves the approach and the underlying model.
Progress Review Blood Markers for the Prognosis of Ischemic Stroke A Systematic Review

Background and Purpose—The performance of validated prognostic clinical models in acute ischemic stroke might be improved by addition of data on blood biomarkers. Methods—We searched Medline and EMBASE from 1966 to January 2007 for studies of blood markers in patients with ischemic stroke and an assessment of outcome (death, disability, or handicap). We adopted several strategies to reduce bias. Results—Studies were generally small (median number of subjects, 85; interquartile range, 49 to 184). Few had evidence of a sample size calculation (7 of 82 [9%]) or reported blinding to whether patients had stroke (21 of 82 [26%]). Of the 66 studies reporting a measure of association, 10 did not adjust for age or stroke severity, 14 adjusted for age, 7 adjusted for severity, and 35 adjusted for both; 30% (20 of 66) used a data-dependent threshold to predict good or bad outcome. There was evidence of within-study reporting bias and publication bias. Cardiac markers showed the most consistent association with poor outcome. Conclusions—Blood biomarkers might provide useful information to improve the prediction of outcome after acute ischemic stroke. However, this review showed that many studies were subject to bias. Although some markers had some predictive ability, none of the studies was able to demonstrate that the biomarker added predictive power to a validated clinical model. The clinical usefulness of blood biomarkers for predicting prognosis in the setting of ischemic stroke has yet to be established. (Stroke. 2009;40:e380-e389.)
Microhardness evaluation of enamel adjacent to an improved GIC sealant after different enamel pre-treatment procedures.

AIM This in vitro study was carried out to evaluate the microhardness of enamel adjacent to a glass ionomer cement (GIC) with high fluoride content used as a sealant (Fuji Triage, GC Corp., Japan) after laser, bur or air abrasion treatment procedures. MATERIALS AND METHODS STUDY DESIGN 200 freshly extracted non-carious human molars were divided into 10 experimental groups according to the enamel pre-treatment method: A air abrasion (Mach 4.1 Kreativ Inc., USA); AP, Air abrasion + conditioning with 20% polyacrylic acid (GC cavity conditioner); L, Er,Cr:YSGG laser application (Waterlase, Biolase Technology, Inc., San Clemente, USA); LP, Er,Cr:YSGG laser application and fissure conditioning; B, ameloplasty carried out with a diamond bur especially designed for preparing fissures (Komet #8833); BP, ameloplasty + fissure conditioning; P, application of 20% polyacrylic acid and all fissures sealed with GIC; C, no fissure treatment, the material was applied directly to the fissures (control); R, application of 37% orthophosphoric acid and fissures sealed with a resin-based sealant (Fissurit; Voco, Germany) (control); N, no treatment (control). Half of each group of teeth were left in artificial saliva for one month and the rest for three months. The teeth were then sectioned and microhardness was measured using a Vickers test apparatus. Kruskal-Wallis, Mann-Whitney U and Dunn's multiple comparison tests were carried out (5% significance). RESULTS After one month results regarding hardness at the base and lateral walls of fissures were significantly higher in groups A, AP, L, LP, B, BP, P and C than in groups R and N (p<0.01), but no difference was seen between the treatment procedures. The results after three months produced similar findings with evenly increased values for all groups. CONCLUSION The results of this study showed that the tested GIC with a higher fluoride content seemed to improve the enamel hardness of the fissure enamel and could be regarded as an alternative material in cases where resin sealant applications are questionable.
Sarilumab, a fully human monoclonal antibody against IL-6Rα in patients with rheumatoid arthritis and an inadequate response to methotrexate: efficacy and safety results from the randomised SARIL-RA-MOBILITY Part A trial

Objectives To evaluate safety and efficacy of weekly (qw) and every other week (q2w) dosing of sarilumab, a fully human anti-interleukin 6 receptor α (anti-IL-6Rα) monoclonal antibody, for moderate-to-severe rheumatoid arthritis (RA). Methods In this dose-ranging study, patients (n=306) with active RA, despite methotrexate, were randomly assigned to placebo or one of five subcutaneous doses/regimens of sarilumab: 100 mg q2w, 150 mg q2w, 100 mg qw, 200 mg q2w, 150 mg qw for 12 weeks, plus methotrexate. The primary end point was ACR20 at Week 12. Secondary endpoints included ACR50, ACR70, Disease Activity Score in 28 joints (C reactive protein). Safety, pharmacokinetics, pharmacodynamics and efficacy in population subgroups were assessed. Results The proportion of patients achieving an ACR20 response compared with placebo was significantly higher for sarilumab 150 mg qw (72.0% vs 46.2%, multiplicity adjusted p=0.0203). Higher ACR20 responses were also attained with 150 mg q2w (67%; unadjusted (nominal) p=0.0363) and 200 mg q2w (65%; unadjusted p=0.0426) versus placebo. Sarilumab ≥150 mg q2w reduced C reactive protein, which did not return to baseline between dosing intervals. Infections were the most common adverse event; none were serious. Changes in laboratory values (neutropenia, transaminases and lipids) were consistent with reports with other IL-6Rα inhibitors. Conclusions Sarilumab improved signs and symptoms of RA over 12 weeks in patients with moderate-to-severe RA with a safety profile similar to reports with other IL-6 inhibitors. Sarilumab 150 mg and sarilumab 200 mg q2w had the most favourable efficacy, safety and dosing convenience and are being further evaluated in Phase III.
Enriching vague queries by fuzzy orderings

The Vague Query System (VQS) due to Kiing and Palkoska is an add-on to rela- tional databases which is able to suggest alternative query results in case that an exact query fails. This is accomplished by taking numeric distances into account and, consequently, works only for queries with vague equality conditions. In this paper, we present a concept for extending VQS such that queries with vague ordering conditions can also be supported.
On benchmarking online social media analytical queries

Social media analytics has many applications in collective behavior sensing and monitoring, online advertisement, opinion mining, and etc. Though a number of technologies and systems are proposed for analyzing social media data, the overall performance and the advantages of those technologies and systems are not compared under similar settings. In this paper, a benchmark named as BSMA, for Benchmarking Social Media Analytics, is proposed. It distinguishes with other similar effort in that: 1) A real-life dataset with activties of more than 1.6 million users in 2 years and followship relationships of 1.2 billion users is used. The distributions of data in the dataset is different from those of data generators. 2) 19 queries fitting into three categories, i.e. social network quries, hotspot queries, and timeline queries, are used. The three categories each poses challenge to different part of testing systems. 3) Measurements of throughput, latency, and scalability are used for testing performance. A toolkit for reporting measurement values that are based on YCSB is developed. A previous version of BSMA is used in WISE 2012 Challenge. Four teams implemented all or part of the 19 queries. Their results are analyzed in this paper. The progress and future work of BSMA is also discussed.
Regionally influential users in location-aware social networks

The ubiquity of mobile location aware devices and the proliferation of social networks have given rise to Location-Aware Social Networks (LASN), where users form social connections and make geo-referenced posts. The goal of this paper is to identify users that can influence a large number of important other users, within a given spatial region. Returning a ranked list of regionally influential LASN users is useful in viral marketing and in other per-region analytical scenarios. We show that under a general influence propagation model, the problem is #P-hard, while it becomes solvable in polynomial time in a more restricted model. Under the more restrictive model, we then show that the problem can be translated to computing a variant of the so-called closeness centrality of users in the social network, and devise an evaluation method.
Longitudinal patterns of metabolism in a southern Appalachian river

We investigated longitudinal patterns of ecosystem metabolism (primary production and respiration) at 4 sites along a 37-km segment of the Little Tennessee River (LTR), North Carolina. These sites corresponded to 4th- to 6th-order reaches in the LTR in an attempt to identify the transition from heterotrophic to autotrophic conditions in this river ecosystem. In addition, we compared autochthonous C production to supply of coarse organic material from direct litter fall and entrainment from the floodplain during floods to determine the contributions of each to river energetics on an annual basis. Metabolism was measured at several times of year at each site using the single-station diel oxygen change method and reaeration estimated by the energy dissipation method. Gross primary production (GPP) ranged from 0.07 to 1.92 g C m−2 d−1 and increased ∼3-fold from upstream to downstream. Respiration (R) ranged from 0.27 to 2.32 g C m−2 d−1 but did not change along the river continuum. Net ecosystem production (NEP) and P/R consistently showed that metabolism was heterotrophic in upstream sites and became autotrophic in the site furthest downstream. Calculated transitional P/R (i.e., where heterotrophic respiration is supported equally by autochthonous and allochthonous C sources) suggested that this heterotrophy–autotrophy shift occurred further upstream than where P/R = 1. Annual rates of GPP were 3 times higher than litter fall and floodplain inputs of C, but R was higher than total C input suggesting that unmeasured C sources must be important for C dynamics in the LTR. The difference between measured C inputs and R decreased along the river continuum because of a 3-fold increase in GPP with little change in allochthonous input and R. Our results suggest that the LTR changes from heterotrophic to autotrophic along this stretch of river and that autochthonous C sources become more important for respiration and secondary production at downstream sites.
Berberine Inhibits Human Hepatoma Cell Invasion without Cytotoxicity in Healthy Hepatocytes

Conventional chemotherapy fails to cure metastatic hepatoma mainly due to its high hepatotoxicity. Many plant-derived agents have been accepted to effectively inhibit hepatoma cell invasion. However, the investigation that whether effectual plant-derived agents against invasive hepatoma cells exert unexpected cytotoxicity in healthy hepatocytes has been ignored. This study demonstrated that berberine exhibited significant cytotoxicity in HepG2 cells mainly through upregulation of reactive oxygen species (ROS) production but was ineffective in normal Chang liver cells. Berberine exerted anti-invasive effect on HepG2 cells through suppression of matrix metalloproteinase-9 (MMP-9) expression. Moreover, berberine could significantly inhibit the activity of PI3K-AKT and ERK pathways. Combination treatment of ERK pathway inhibitor PD98059 or AKT pathway inhibitor LY294002 and berberine could result in a synergistic reduction on MMP-9 expression along with an inhibition of cell invasion. Enhancement of ROS production by berberine had no influence on its suppressive effects on the activity of PI3K-AKT and ERK pathways, as well as MMP-9 expression and HepG2 cell invasion. In conclusion, our results suggest that berberine may be a potential alternative against invasive hepatoma cells through PI3K-AKT and ERK pathways-dependent downregulation of MMP-9 expression. This study also provides a previously neglected insight into the investigation of plant-derived agents-based therapy against tumor invasion with the consideration of damage to healthy cells.
Neuronal mechanisms of consciousness: A Relational Global Workspace framework.

This paper explores a remarkable convergence of ideas and evidence, previously presented in separate places by its authors. That convergence has now become so persuasive that we believe we are working within substantially the same broad framework. Taylors mathematical papers on neuronal systems involved in consciousness dovetail well with work by Newman and Baars on the thalamocortical system, suggesting a brain mechanism much like the global workspace architecture developed by Baars (see references below). This architecture is relational, in the sense that it continuously mediates the interaction of input with memory. While our approaches overlap in a number of ways, each of us tends to focus on different areas of detail. What is most striking, and we believe significant, is the extent of consensus, which we believe to be consistent with other contemporary approaches by Weiskrantz, Gray, Crick and Koch, Edelman, Gazzaniga, Newell and colleagues, Posner, Baddeley, and a number of others. We suggest that cognitive neuroscience is moving toward a shared understanding of consciousness in the brain.
Regulatory roles for FcγRIII (CD16) and FcγRII (CD32) in the development of T‐ and B‐lineage lymphoid cells

IgG Fc receptors (FcγR) occur on all hematopoietic lineages and participate in a diversity of functions that reflect the combined effects of the molecular heterogeneity of FcγR and the inherent specialization of the FcγR + cells. An extensive literature describes the functions of FcγR on mature myeloid and lymphoid cells in humans and mice but little has been published about FcγR on lineage progenitor cells. Several studies suggest that FcγR can influence leukocyte development and that FcγRII (CD32) and FcγRIII (CD16) can regulate murine T‐ and B‐lineage development at stages before the expression of clonal antigen receptors. The nominal ligand of FcγR is IgG and the physiologically relevant ligand is the IgG‐antigen complex, but it is also known that alternative, non‐Ig ligands exist for Fc receptors. A role for FcγR in the regulation of leukocyte development has potential relevance for clinical situations in which the levels of nominal and/or alternative ligands of FcγR are elevated, or the production of soluble forms of FcγR is increased. J. Leukoc. Biol. 67: 279–284; 2000.
Memristor Bridge Synapse-Based Neural Network and Its Learning

Analog hardware architecture of a memristor bridge synapse-based multilayer neural network and its learning scheme is proposed. The use of memristor bridge synapse in the proposed architecture solves one of the major problems, regarding nonvolatile weight storage in analog neural network implementations. To compensate for the spatial nonuniformity and nonideal response of the memristor bridge synapse, a modified chip-in-the-loop learning scheme suitable for the proposed neural network architecture is also proposed. In the proposed method, the initial learning is conducted in software, and the behavior of the software-trained network is learned by the hardware network by learning each of the single-layered neurons of the network independently. The forward calculation of the single-layered neuron learning is implemented on circuit hardware, and followed by a weight updating phase assisted by a host computer. Unlike conventional chip-in-the-loop learning, the need for the readout of synaptic weights for calculating weight updates in each epoch is eliminated by virtue of the memristor bridge synapse and the proposed learning scheme. The hardware architecture along with the successful implementation of proposed learning on a three-bit parity network, and on a car detection network is also presented.
Breakfast consumption in Spanish children and young people

Abstract Background and objectives: Breakfast consumption is important for nutritional balance in all population groups. The objective of this paper is to describe breakfast consumption patterns in Spanish children and young people. Design: Random population cross-sectional nutritional survey. Methods: A random sample of 3534 people aged 2 to 24 years were interviewed by a team of 43 dietitians. The protocol included 24-hour recalls (a second 24-hour recall in 30% of the sample), a food-frequency questionnaire and other questions including lifestyles, knowledge and food preferences. Results: Participation rate in the survey was 68%. Of the boys, 91.2% and 92.2% of the girls in the sample usually had breakfast. Males aged 18 years and above and 14–17-year-old girls showed the lowest consumption rates. Some 4.1% of the sample did not have any food at all before lunch. Main sources of energy with breakfast were milk and dairy products (34%) and buns, cookies, croissants, etc. (24.6%). Some 44.7% of the sample was classified in the poor-quality breakfast group. Subjects from a low socio-economic background and low educated parents had lower Quality Breakfast Score. Conclusions: The proportion of children having breakfast before attending school has increased in Spain in recent decades. However, intake of breakfast is not adequate in a large proportion of this population and a number of children and young people still do not eat anything before lunch. School-based nutrition education involving families, teachers and health professionals, supported by community actions, can contribute to improve this situation.
Association between Dietary Patterns and the Indicators of Obesity among Chinese: A Cross-Sectional Study

No previous study has investigated dietary pattern in association with obesity risk in a middle-aged Chinese population. The purpose of this study was to evaluate the associations between dietary patterns and the risk of obesity in the city of Hangzhou, the capital of Zhejiang Province, east China. In this cross-sectional study of 2560 subjects aged 45–60 years, dietary intakes were evaluated using a semi-quantitative food frequency questionnaire (FFQ). All anthropometric measurements were obtained using standardized procedures. The partial correlation analysis was performed to assess the associations between dietary patterns and body mass index (BMI), waist circumference (WC), and waist to hip ratio (WHR). Multivariate logistic regression analysis was used to examine the associations between dietary patterns and obesity, with adjustment for potential confounders. Four major dietary patterns were extracted by means of factor analysis: animal food, traditional Chinese, western fast-food, and high-salt patterns. The animal food pattern was positively associated with BMI (r = 0.082, 0.144, respectively, p < 0.05) and WC (r = 0.102, 0.132, respectively, p < 0.01), and the traditional Chinese pattern was inversely associated with BMI (r = −0.047, −0.116, respectively, p < 0.05) and WC (r = −0.067, −0.113, respectively, p < 0.05) in both genders. After controlling for potential confounders, subjects in the highest quartile of animal food pattern scores had a greater odds ratio for abdominal obesity (odds ratio (OR) = 1.67; 95% confidence interval (CI): 1.188–2.340; p < 0.01), in comparison to those from the lowest quartile. Compared with the lowest quartile of the traditional Chinese pattern, the highest quartile had a lower odds ratio for abdominal obesity (OR = 0.63; 95% CI: 0.441–0.901, p < 0.05). Conclusions: Our findings indicated that the animal food pattern was associated with a higher risk of abdominal obesity, while the traditional Chinese pattern was associated with a lower risk of abdominal obesity. Further prospective studies are warranted to confirm these findings.
Immunogenicity of hepatitis B vaccine in term and preterm infants

Some studies have suggested that decreased seroconversion rates might be found in premature infants with low birthweight (< 2000 g) following administration of hepatitis B vaccine at birth. The aim of the present investigation was to evaluate possible differences in seropositive rates between full‐term and preterm infants after primary vaccination, in particular when gestational age or birthweight is very low. Two‐thousand and nine neonates born to HBs Ag‐negative mothers were vaccinated with 10 μg of recombinant hepatitis B virus (HBV) vaccine, from May 1991 to October 1994. Children with infections, congenital malformations or serious illnesses were excluded. HBV vaccine was administered intramuscularly, on the fourth day of life and again at 1 and 6 months of age. A 1‐ml blood sample was drawn from each infant 1 month after the third vaccine dose for determination of the level of anti‐HBs antibody. The response to HBV vaccination was evaluated in 241 preterm (gestational age < 38 weeks) infants and 1727 term neonates. No statistical difference was observed in the distribution of anti‐HBs antibody level, either between preterm infants (< 38 weeks) and newborns of normal gestational age, or between low birthweight (< 2500 g) and normal weight infants. The results suggest that preterm and low birthweight infants (< 2500 g) respond to HBV vaccine in the same measure as normal‐term infants.
Mobile business: an exploratory study to define a framework for the transformation process

The advent of frontier technologies such as wireless technology has given the necessary impetus for businesses to transform from traditional ways into digital ways. While the Internet transformed traditional businesses to e-businesses, wireless technology enabled to move further to mobile business or m-business. Despite the development in the technical domain, businesses still struggle to comprehend the processes involved in the transformation and a proper framework is yet to evolve. This work-in-progress paper provides a background to such transformation with a method to achieve this transformation.