Miracle-dz/UniFAR-FTUs huggingface dataset:
Urtica dioica attenuates ovalbumin-induced inflammation and lipid peroxidation of lung tissues in rat asthma model

Abstract Context: To find bioactive medicinal herbs exerting anti-asthmatic activity, we investigated the effect of an aqueous extract of Urtica dioica L. (Urticaceae) leaves (UD), the closest extract to the Algerian traditional use. Objective: In this study, we investigated the in vivo anti-asthmatic and antioxidant activities of nettle extract. Materials and methods: Adult male Wistar rats were divided into four groups: Group I: negative control; group II: Ovalbumin sensitized/challenged rats (positive control); group III: received UD extract (1.5 g/kg/day) orally along the experimental protocol; group IV: received UD extract (1.5 g/kg/day) orally along the experimental protocol and sensitized/challenged with ovalbumin. After 25 days, blood and tissue samples were collected for haematological and histopathological analysis, respectively. The oxidative stress parameters were evaluated in the lungs, liver and erythrocytes. Then, correlations between markers of airway inflammation and markers of oxidative stress were explored. Results: UD extract significantly (p < 0.01) inhibited eosinophilia increases in BALF (−60%) and the levels of leucocytes (−32.75%) and lymphocytes (−29.22%) in serum, and effectively suppressed inflammatory cells recruitment in the asthmatic rat model. Besides, the lipid peroxidation generated by allergen administration was significantly (p < 0.05) diminished by UD treatment in lung tissue (−48.58%). The nettle extract was also investigated for the total phenolic content (30.79 ± 0.96 mg gallic acid/g dry extract) and shows DPPH radical scavenging activity with 152.34 ± 0.37 μg/mL IC50 value. Conclusions: The results confirmed that UD administration might be responsible for the protective effects of this extract against airway inflammation.
The significance of respiration timing in the energetics estimates of free-ranging killer whales (Orcinus orca)

ABSTRACT Respiration rate has been used as an indicator of metabolic rate and associated cost of transport (COT) of free-ranging cetaceans, discounting potential respiration-by-respiration variation in O2 uptake. To investigate the influence of respiration timing on O2 uptake, we developed a dynamic model of O2 exchange and storage. Individual respiration events were revealed from kinematic data from 10 adult Norwegian herring-feeding killer whales (Orcinus orca) recorded with high-resolution tags (DTAGs). We compared fixed O2 uptake per respiration models with O2 uptake per respiration estimated through a simple ‘broken-stick’ O2-uptake function, in which O2 uptake was assumed to be the maximum possible O2 uptake when stores are depleted or maximum total body O2 store minus existing O2 store when stores are close to saturated. In contrast to findings assuming fixed O2 uptake per respiration, uptake from the broken-stick model yielded a high correlation (r2>0.9) between O2 uptake and activity level. Moreover, we found that respiration intervals increased and became less variable at higher swimming speeds, possibly to increase O2 uptake efficiency per respiration. As found in previous studies, COT decreased monotonically versus speed using the fixed O2 uptake per respiration models. However, the broken-stick uptake model yielded a curvilinear COT curve with a clear minimum at typical swimming speeds of 1.7–2.4 m s−1. Our results showed that respiration-by-respiration variation in O2 uptake is expected to be significant. And though O2 consumption measurements of COT for free-ranging cetaceans remain impractical, accounting for the influence of respiration timing on O2 uptake will lead to more consistent predictions of field metabolic rates than using respiration rate alone. Highlighted Article: Longitudinal observations of respiration times and underwater activity level indicate that consideration of respiration timing, in addition to respiration rate, is critical for estimating metabolic rates of free-ranging cetaceans.
Sustained maintenance of clinical remission after adalimumab dose reduction in patients with early psoriatic arthritis: a long-term follow-up study

Purpose: The primary purpose of this study was to evaluate the proportion of psoriatic arthritis (PsA) patients maintaining clinical remission after adalimumab (ADA) dose reduction compared with patients with rheumatoid arthritis. Secondary purposes include evaluating the proportion of PsA patients who achieve remission, the duration of remission after ADA dose reduction, time to relapse, psoriasis course, and the frequency of adverse events at the end of follow-up. Methods: This was a single-center, prospective, follow-up, case-control study of 76 consecutive patients (35 females, 41 males; mean age 46 ± 10.2 years) who met the classification criteria for psoriatic arthritis and required anti-tumor necrosis factor therapy according to Group for Research and Assessment of Psoriasis and Psoriatic Arthritis recommendations. The 76 patients were compared with 55 patients (40 females, 15 males; mean age 50 ± 11.6 years) who satisfied the American College of Rheumatology criteria for rheumatoid arthritis and received the same treatment. Case patients and controls were recruited from January 2008 to December 2010. At baseline, PsA patients and controls received 40 mg of ADA every other week, usually with methotrexate (10 to 20 mg/weekly). In the presence of clinical remission, ADA dose was reduced to 40 mg every 4 weeks in both groups. Results: Fifty-three of the 76 (69.7%) PsA patients and 17 of the 55 (30.9%) rheumatoid arthritis (P < 0.019) controls achieved remission after a mean time of 5.1 ± 1.2 and 6.3 ± 1.6 months, respectively (P = nonsignificant). After halving the dose of ADA, 47 of the 53 (88.6%) PsA patients and three of the 17 (17.6%) controls maintained remission (P = 0.016) over a mean follow-up period of 28.9 ± 8.4 and 24.2 ± 6.4 months, respectively. No significant changes in Psoriatic Arthritis Severity Index scores were observed. The mean time to relapse was 8.3 ± 3.4 months in six case patients and 7.2 ± 4.2 in 14 controls (P = not significant). No serious adverse events occurred in either group. Conclusion: Clinical remission is possible in a high percentage of patients with early PsA receiving ADA. Such remission is maintained in a high proportion of subjects after ADA dose halving, with relevant advantages in terms of patient compliance, drug-exposure risk, and economic burden.
Anti-proliferative, apoptotic induction, and anti-migration effects of hemi-synthetic 1′S-1′-acetoxychavicol acetate analogs on MDA-MB-231 breast cancer cells

Nine analogs of 1′S-1′-acetoxychavicol acetate (ACA) were hemi-synthesized and evaluated for their anticancer activities against seven human cancer cell lines. The aim of this study was to investigate the anti-proliferative, apoptotic, and anti-migration effects of these compounds and to explore the plausible underlying mechanisms of action. We found that ACA and all nine analogs were non toxic to human mammary epithelial cells (HMECs) used as normal control cells, and only ACA, 1′-acetoxyeugenol acetate (AEA), and 1′-acetoxy-3,5-dimethoxychavicol acetate (AMCA) inhibited the growth of MDA-MB-231 breast cancer cells with a half-maximal inhibitory concentration (IC50) value of <30.0 μM based on 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay results, and were selected for further investigation. DNA fragmentation assays showed that these three compounds markedly induced apoptosis of MDA-MB-231 cells. Western blot analysis revealed increased expression levels of cleaved PARP, p53, and Bax, while decreased expression levels of Bcl-2 and Bcl-xL were seen after treatment, indicating that apoptosis was induced via the mitochondrial pathway. Moreover, ACA, AEA, and AMCA effectively inhibited the migration of MDA-MB-231 cells. They also downregulated the expression levels of pFAK/FAK and pAkt/Akt via the integrin β1-mediated signaling pathway. Collectively, ACA and its hemi-synthetic analogs, AEA and AMCA are seen as potential anticancer agents following their abilities to suppress growth, induce apoptosis, and inhibit migration of breast cancer cells.
Latent spaces for dynamic movement primitives

Dynamic movement primitives (DMPs) have been proposed as a powerful, robust and adaptive tool for planning robot trajectories based on demonstrated example movements. Adaptation of DMPs to new task requirements becomes difficult when demonstrated trajectories are only available in joint space, because their parameters do not in general correspond to variables meaningful for the task. This problem becomes more severe with increasing number of degrees of freedom and hence is particularly an issue for humanoid movements. It has been shown that DMP parameters can directly relate to task variables, when DMPs are learned in latent spaces resulting from dimensionality reduction of demonstrated trajectories. As we show here, however, standard dimensionality reduction techniques do not in general provide adequate latent spaces which need to be highly regular. In this work we concentrate on learning discrete (point-to-point) movements and propose a modification of a powerful nonlinear dimensionality reduction technique (Gaussian Process Latent Variable Model). Our modification makes the GPLVM more suitable for the use of DMPs by favouring latent spaces with highly regular structure. Even though in this case the user has to provide a structure hypothesis we show that its precise choice is not important in order to achieve good results. Additionally, we can overcome one of the main disadvantages of the GPLVM with this modification: its dependence on the initialisation of the latent space. We motivate our approach on data from a 7-DoF robotic arm and demonstrate its feasibility on a high-dimensional human motion capture data set.
Place as Adoption Moderating Factor Usage Implications for Mobile Data Services

This paper explores the role of place as potential moderating factor for the usage process of mobile data services. Mobile networked technologies are forming a multimedia mixed environment offering rich applications and services, called mobile data services. But the low diffusion of mobile data services in European societies asks for more investigation in order to explain the users' behaviour within mobile networked environments. Although the last two decades new user adoption models have been proposed, these cannot successfully be applied in the area of mobile applications and services because of their low explanatory power across different contexts. Thus there is a need to introduce new moderating factors to increase the explanatory power of adoption models within mobile networked environments. The results presented here suggest that place influences usage of mobile data services and for that reason there is a need to explore its moderating role in the usage process.
Design, implementation and evaluation for continuous interaction in image-guided surgery

Recent progress in the overlay and registration of digital information on the users workspace in a spatially meaningful way has allowed mixed reality (MR) to become a more effective operational medium. In the area of medical surgery, surgeons are conveyed with information such as the incisions location, regions to be avoided, diseased tissues, etc, while staying in and keeping their original working environment. The main objective of this Thesis is identifying theoretical and practical basis for how mixed reality interfaces might provide support and augmentation maximizing the continuity of interaction. We start proposing a set of design principles organized in a design space which allows to identify continuity interaction properties at an early stage of the development system. Once the abstract design possibilities have been identified and a concrete design decision has been taken, an implementational strategy can be developed. Two approaches were investigated: markerless and marker-based. The last one is used to provide surgeons with guidance on an osteotomy task in the maxillo-facial surgery. The evaluation process applies usability tests with users to validate the augmented guidance in different scenarios and to study the influence of different design variables in the final user interaction. As a result we have found a model to describe the contribution factors of each variable for the continuity of the user interaction. We suggest that this methodology can be applied mainly to those applications in which smooth connections and interactions, with virtual and real environments, are critical for the system; i.e. surgery, drivers applications or pilot simulations.
Effects of polychlorinated biphenyl/dioxin exposure and feeding type on infants' mental and psychomotor development.

OBJECTIVE To evaluate the effects of in utero and lactational exposure to polychlorinated biphenyls (PCBs) and dioxins on the mental and psychomotor development of infants. DESIGN Prenatal PCB exposure was estimated from the levels in maternal plasma during the last month of pregnancy. Postnatal PCB and dioxin exposure of breastfed infants was calculated from levels in human milk samples and the duration of breastfeeding. Infants were examined at 3, 7, and 18 months of age with the Bayley Scales of Infant Development. SETTING General community. PARTICIPANTS Voluntary sample of 207 mother-infant pairs. One hundred five infants were breastfed and 102 were bottle-fed. INTERVENTIONS None. RESULTS Higher in utero exposure to PCBs was associated with lower psychomotor scores at 3 months of age: a doubling of the PCB load resulted in a decrease of 3 points. Breastfed infants scored significantly higher on the psychomotor score at 7 months of age, compared with formula-fed infants. However, when corrected for confounders, the psychomotor score of the 66% highest-exposed breastfed infants ( > 756 pg total PCB-dioxin toxic equivalent) was negatively influenced by this postnatal exposure to PCBs and dioxins, and was comparable to the psychomotor score of the formula-fed infants. Breastfed infants also scored higher on the mental scale at 7 months of age in a dose-dependent way. There was no significant influence of the perinatal PCB and dioxin exposure on the mental outcome at 3 and 7 months of age. At 18 months of age neither the mental nor the psychomotor score was related to perinatal PCB or dioxin exposure, nor to the duration of breastfeeding. CONCLUSIONS Prenatal PCB exposure has a small negative effect on the psychomotor score at 3 months of age. PCB and dioxin exposure through breastfeeding has an adverse effect on the psychomotor outcome at 7 months of age. The mental outcome at 7 months of age is positively influenced by breastfeeding per se; the perinatal exposure to PCBs and dioxins does not influence this outcome. At 18 months of age the development is affected neither by PCB and dioxin exposure nor by feeding type.
Comparison of modulation schemes and rake receiver structures for UWB systems on an IEEE 802.15.3 indoor channel

The all-Rake and selective-Rake receiver structures are examined for different transmission scenarios, including multiple access interference and intersymbol interference environments. The results show that the all-Rake receiver does not necessarily offer the best performance when operating in intersymbol interference environments. Some candidate modulation schemes proposed for ultra-wideband communications are assessed and compared using a measurements-based fading model. Although some analytical and semi-analytical methods using the Gaussian approximation predict the same bit error rate estimates for several modulation schemes, our results show that the actual performances of these modulation schemes are different
Impact of phenytoin therapy on the skin and skin disease

Phenytoin (diphenylhydantoin; Dilantin®, ALZA Corp.) is a highly effective and widely prescribed anticonvulsant agent used in the treatment of focal and tonic clonic generalised seizures. The side effects of phenytoin can occassionally engender significant morbidity. Phenytoin can induce generalised eruptions that include: a maculopapular exanthem, Stevens–Johnson syndrome, generalised exfoliative dermatitis, toxic epidermal necrolysis, vasculitis and fixed drug eruptions. Phenytoin is linked to a hypersensitivity syndrome that manifests with fever, rash and lymphadenopathy. Patients receiving phenytoin may develop pseudolymphoma or, rarely, malignant lymphoma and mycosis fungoides-like lesions. Rarer cutaneous side effects include drug-induced lupus, purple hand syndrome, pigmentary alterations and IgA bullous dermatosis. Phenytoin can effect clotting function and alter vitamin and mineral levels. Prenatal exposure to phenytoin may result in a spectrum of structural, developmental and behavioural changes, known as the fetal hydantoin syndrome. Patients who use phenytoin in the long-term commonly manifest with gingival hyperplasia, coarsening of the facies, and hirsutism.
An Edge Deletion Semantics for Belief Propagation and its Practical Impact on Approximation Quality

We show in this paper that the influential algorithm of iterative belief propagation can be understood in terms of exact inference on a polytree, which results from deleting enough edges from the original network. We show that deleting edges implies adding new parameters into a network, and that the iterations of belief propagation are searching for values of these new parameters which satisfy intuitive conditions that we characterize. The new semantics lead to the following question: Can one improve the quality of approximations computed by belief propagation by recovering some of the deleted edges, while keeping the network easy enough for exact inference? We show in this paper that the answer is yes, leading to another question: How do we choose which edges to recover? To answer, we propose a specific method based on mutual information which is motivated by the edge deletion semantics. Empirically, we provide experimental results showing that the quality of approximations can be improved without incurring much additional computational cost. We also show that recovering certain edges with low mutual information may not be worthwhile as they increase the computational complexity, without necessarily improving the quality of approximations.
Spending the US Government Surplus: A Numerical Analysis of the Policy Options

A method of making a dental appliance made of an elasticized acrylic containing embedded nylon fibers including the steps of heating the thermoplastic material, forming it onto a dental cast, and cooling it to a rigid state. The fibers may be arranged in various patterns within the elasticized acrylic and it is the fibers which act on the arch through the elasticized acrylic. The appliance may be used as a tooth positioner, a retainer, a splint, or a base plate.
2005 Ieee/rsj International Conference on Intelligent Robots and Systems Flocking Coordination of Multiple Mobile Autonomous Agents with Asymmetric Interactions and Switching Topology

This paper considers a group of mobile autonomous agents moving in the space with point mass dynamics and with asymmetric coupling matrix. We investigate the dynamic properties of the group for the case that the topology of the neighboring relations between agents varies with time. Under the assumption that the neighboring graphs are always connected, we show that stable flocking motion can be achieved by using a set of switching control laws. The control laws are a combination of attractive/repulsive and alignment forces. By using the control laws, all agent velocities become asymptotically the same, collisions can be avoided between the agents, and the final tight formation minimizes all agent potentials. Moreover, we show that the velocity of the center of mass is invariant and is equal to the final common velocity. Finally, we study the motion of the group when the velocity damping is taken into account. We prove that the common velocity asymptotically approaches zero. In this case, we can properly modify the control laws to generate the same stable flocking motion.
Hydroxyl Radicals Depolymerize Glomerular Heparan Sulfate in Vitro and in Experimental Nephrotic Syndrome*

Heparan sulfate, the polysaccharide side chain of heparan sulfate proteoglycan, is important for the permselective properties of the glomerular basement membrane. In this report, we show a role for hydroxyl radicals in heparan sulfate degradation and an enhanced glomerular basement membrane permeability. First, in enzyme-linked immunosorbent assay, exposure of coated heparan sulfate (proteoglycan) to reactive oxygen species resulted in a ±50% decrease of binding of a monoclonal antibody against heparan sulfate, whereas binding of an antibody against the core protein remained unaltered. Second, on polyacrylamide gel electrophoresis, the molecular weight of heparan sulfate exposed to radicals was reduced which indicates depolymerization. Both in enzyme-linked immunosorbent assay and gel electrophoresis, hydroxyl radicals are instrumental for heparan sulfate degradation as shown by the addition of various radical scavengers. Third, in an experimental model for human nephrotic syndrome (Adriamycin nephropathy in rats), glomerular basement membrane staining of two recently described anti-heparan sulfate antibodies (JM403 and KJ865) was reduced by 24 and 43%. Treatment of Adriamycin-exposed rats with the hydroxyl radical scavenger dimethylthiourea both reduced albuminuria by 37% (p < 0.01) and partly prevented loss of heparan sulfate staining by 53% (JM403) and 39% (KJ865) (p < 0.03). In contrast to the heparan sulfate side chains, the core protein expression and the extent of glycanation did not change in Adriamycin nephropathy. We conclude that glomerular basement membrane heparan sulfate is susceptible to depolymerization by hydroxyl radicals leading to loss of glomerular basement membrane integrity and albuminuria.
The Model-Based Study of the Effectiveness of Reporting Lists of Small Feature Sets Using RNA-Seq Data

Ranking feature sets for phenotype classification based on gene expression is a challenging issue in cancer bioinformatics. When the number of samples is small, all feature selection algorithms are known to be unreliable, producing significant error, and error estimators suffer from different degrees of imprecision. The problem is compounded by the fact that the accuracy of classification depends on the manner in which the phenomena are transformed into data by the measurement technology. Because next-generation sequencing technologies amount to a nonlinear transformation of the actual gene or RNA concentrations, they can potentially produce less discriminative data relative to the actual gene expression levels. In this study, we compare the performance of ranking feature sets derived from a model of RNA-Seq data with that of a multivariate normal model of gene concentrations using 3 measures: (1) ranking power, (2) length of extensions, and (3) Bayes features. This is the model-based study to examine the effectiveness of reporting lists of small feature sets using RNA-Seq data and the effects of different model parameters and error estimators. The results demonstrate that the general trends of the parameter effects on the ranking power of the underlying gene concentrations are preserved in the RNA-Seq data, whereas the power of finding a good feature set becomes weaker when gene concentrations are transformed by the sequencing machine.