Effect of immune drugs to treat acute viral nasopharyngitis

The task in treating acute nasopharyngitis (ANP) deals with reducing the disease symptoms and the risk of complications. The lack of reliable antiviral drugs makes it important to search for appropriate medicines among other pharmacotherapeutic groups.The study involves a comparative analysis of the efficiency and estimates potential: the recombinant interferon α2b and the compound containing fungal β-D-glucans used in treat ANPThe studies involved patients with ANP from 18 to 55 years old. As many as 152 people were examined including the following: 38 were practically healthy people (group 1); and 114 patients wuth ANP: 38 people (group 2) was subject to a standard therapy (vasoconstrictor nasal drops, nasal cavity irrigation using 0.1% Miramistine solution, gargling using the Furacilin solution); forty people (group 3) were administered application of intranasal interferon α2b of 105 IU, it was delivered with a spray into each nasal passage twice a day; 36 people (group 4) were administered an immunotropic drug containing β-D-glucans orally twice a day. The duration of drug administration lasted 7 days. Polymerase chain reaction (PCR) was used to identify the ANP etiological factor. Concentrations of cytokines IL-1β, IL-1ra were estimated using enzyme immunoassay (ELISA) technique. Clinical efficiency was assessed through score approach. The following symptoms were taken into account: general malaise, sore throat, character of nasal discharge, and the difficulty of nasal breathing. The results of the study were analyzed using parametric and nonparametric statistical methods. In 60.0% the nasal secretions of patients revealed RV. The distribution of cytokine concentrations in nasal secretions in group 1 indicated that the concentration of IL-1β was in the range of 20.0-25.0 pg/ml, and the concentration of IL-1ra was about 1250.0-2500.0 pg/ml. Developing ANP stimulated an increase in IL-1β concentration up to 30.0-70.0 pg/ml in nasal secretions of patients without affecting IL-1ra concentrations. On day 7 of treatment, the cytokine concentrations among the patients treated using the immunotropic drugs were the same as in the group of healthy individuals. There were no significant changes in cytokine production on day 7 in the group of patients undergoing the standard treatment. Application of proposed immunobiological medicines to ANP does not result in overproduction of proinflammatory cytokine IL-1β in nasal secretion. This confirms that these drugs are promising in the treating strategy including reduction of the risk of developing complications.

SFSADE: an improved self-adaptive differential evolution algorithm with a shuffled frog-leaping strategy

The differential evolution (DE) algorithm is an efficient random search algorithm based on swarm intelligence for solving optimization problems. It has the advantages of easy implementation, fast convergence, strong optimization ability and good robustness. However, the performance of DE is very sensitive to the design of different operators and the setting of control parameters. To solve these key problems, this paper proposes an improved self-adaptive differential evolution algorithm with a shuffled frog-leaping strategy (SFSADE). It innovatively incorporates the idea of the shuffled frog-leaping algorithm into DE, and at the same time, it cleverly introduces a new strategy of classification mutation, and also designs a new adaptive adjustment mechanism for control parameters. In addition, we have carried out a large number of simulation experiments on the 25 benchmark functions of CEC 2005 and two nonparametric statistical tests to comprehensively evaluate the performance of SFSADE. Finally, the results of simulation experiments and nonparametric statistical tests show that SFSADE is very effective in improving DE, and significantly improves the overall diversity of the population in the process of dynamic evolution. Compared with other advanced DE variants, its global search speed and optimization performance also has strong competitiveness.

Trueness of digital implant impressions based on implant angulation and scan body materials

Effects of implant angulation on digital implant impression accuracy remain controversial. Therefore, this in vitro study aimed to compare the digital implant impression trueness among models with different implant angulations and scan body materials. Six partially edentulous mandibular models with dental implants on the right second premolar and second molar areas were categorized according to the implant angulation of the distal implant (parallel, or 15° mesially or lingually tilted compared to the mesial implant) and scan body materials (polyetheretherketone or titanium). After scanning each model with intraoral scanners, the root mean square and within-tolerance values were calculated with respect to the reference, and nonparametric statistical tests were performed (α = .05). Scan data from models with the mesially tilted distal implant showed better trueness than the corresponding parallel and lingually tilted groups in terms of root mean square values (p < .017). The root mean square value in the titanium scan body group was lower than that in the polyetheretherketone scan body group (p < .001). However, the percentage within a tolerance of ± .1 mm was higher in the polyetheretherketone scan body group than in the titanium scan body group (p = .001). Intraoral scan data of models where the terminal implant was mesially tilted showed better trueness.

Dissecting tumor cell programs through group biology estimation in clinical single-cell transcriptomics

Given the growing number of clinically integrated cancer single-cell transcriptomic studies, robust differential enrichment methods for gene signatures to dissect tumor cellular states for discovery and translation are critical. Current analysis strategies neither adequately represent the hierarchical structure of clinical single-cell transcriptomic datasets nor account for the variability in the number of recovered cells per sample, leading to results potentially confounded by sample-driven biology instead of accurately representing true differential enrichment of group-level biology (e.g., treatment responders vs. non-responders) and a high number of false positives. This problem is even more severe for single-cell analyses of the tumor compartment due to high intra-patient similarity (as opposed to inter-patient similarity), leading to stricter hierarchical structured data for this compartment. Furthermore, to identify signatures which are truly representative of the entire group, there is a need to quantify the robustness of otherwise statistically significant signatures to sample exclusion. Here, we present a new nonparametric statistical method, BEANIE, to account for these issues, and demonstrate its utility in two cancer cohorts stratified by clinical groups to reduce biological hypotheses and guide translational investigations. Using BEANIE, we show how the consideration of sample-specific versus group biology helps decrease the false positive rate by more than 10 times and identify robust signatures which can also be corroborated across different cell type compartments.

Neuropsychological and Physical Trajectories in Neurotypical and High-cognitive Performing Older Adults

The maintenance of high cognitive performance in old age has increasinglybecome a public health interest due to associations between cognition,well-being, longevity, and autonomy. The objective of the researchis to investigate cognitive, physical, and psychological trajectories ofneurotypical older adults (NOAs) and high performing older adults(HPOAs). An exploratory study to investigate 21 NOAs and six HPOAs(mean age 71, SD = ± 3.59), followed up for one year. The older adultswere submitted to physical fitness, quality of life, anxiety, depression,RAVLT, ACE-R, and Stroop tests, being assessed at three moments:baseline, six months after the cognitive (MEMO) or stimulation (Stimullus)interventions, and six months after the multimodal interventions, whichcould be physical or psychopedagogical interventions (health educationlectures). Nonparametric statistical tests (Mann-Whitney and Wilcoxon)were performed with p≤0.05. The results demonstrated that the cognitivemeasures were good predictors of cognitive performance and we observedpositive correlations between cognitive and mood measures. The olderadults with high performance had a lower prevalence of depressivesymptoms. There were gains in global cognitive performance, mood, and inphysical fitness variables associated with multimodal interventions, evidentin the neurotypical group

Substantial Content Reclamation for Clustering

The massive volume of data stored in computer files and databases is rapidly increasing. Users of these data, on the other hand, demand more complex information from databases. The video data have exponential growth towards accessing and storing. The vital problem associated to video data is efficient, qualitative and fast accessing. We talk about how video pictures are clustered. We presume video clips have been divided into shots, each of which is denoted by a collection of key frames. As a result, video clustering is limited to still key frame pictures. In amble database finding the qualified data set (clusters) is quite time-taking job. The video data mining relate to multi–lingual text, numeric, image, video, audio, graphical, temporal, relational and categorical data. It may be any kind of information medium that can be represented, processed, stored, fast accessing or summarization of clusters are required due to which significant frame-set is formed. Due to sampling error and test reliability in video, substantial changes of more than one frame are predicted. The goal of this article is to show how to employ a familiar and easy nonparametric statistical approach (chi-square) to select eligible data/framesets for analysis. The chi-square model illustrated here is a straightforward, sensible, fast, reduce saddle, and easiest method. Skimming/ Summarization and clipping technique are further enhanced by this technique along with video database maintenance technique from simple descriptors to a complex description schemes like spatial and temporal or high dimensional indexing.

LEUKOCYTAL INDICES AND OCCUPATIONAL EXTERNAL GAMMA-EXPOSURE

Background: The hematopoietic system is classified as the most radiosensitive body system. Research of occupational radiation-induced hematological shifts continues to be a relevant question of occupational radiation safety. Aim: Analysis of leukocytal indices dynamics depending on the accumulated dose of occupational external gamma-exposure. Methods: The database «Leukemia in the cohort of Mayak Production Association workers hired in 1948-1958» was used as the material. Leukocytal indices were estimated based on 19592 peripheral blood analyses; dynamics of hematological shifts was traced according to accumulation of absorbed doses of occupational external gamma-radiation; comparative analysis of hemogramms with a group of workers without oncohematological pathology was carried out. Nonparametric statistical methods were applied. Results: The period of dose accumulation at the same total dose of occupational external gamma-exposure was much different in the study groups, it was much shorter for individuals who later died of leukemia. Leukocytal indices in groups were most different in the range of accumulated absorbed doses of external gamma exposure equal to 2 – 2.5 Gy and had the largest amplitude of values among the workers diagnosed for leukemia later. Conclusion: The estimation of leukocytal indices may be used as the tool for early detection of adverse hematological shifts in cell lines and may be the indicator of pathologic hemapoiesis in the exposed workers before clinical manifestation of hematological pathology.

Nonparametric, statistical analysis of the reliability of satellites and satellite subsystems

Надёжность долгое время признавалась главным качеством для систем космического аппарата. К сожалению, в литературе имеются лишь ограниченные данные об отказах на орбите и статистическом анализе надежности спутников. Для восполнения этого пробела был проведен непараметрический анализ надежности спутников для спутников на околоземной орбите. В этой работе я расширяю статистический анализ надежности спутников и исследую надежность подсистем космических аппаратов. Поскольку набор данных подвергнут цензуре, я широко использую оценщик Каплана-Мейера для расчета функций надежности и получаю доверительные интервалы для непараметрических результатов надежности для каждой подсистемы спутика. Reliability has long been recognized as the main quality for spacecraft systems. Unfortunately, there is only limited data in the literature on failures in orbit and statistical analysis of the reliability of satellites. To fill this gap, a nonparametric analysis of the reliability of satellites for satellites in near-Earth orbit was carried out. In this work, I expand the statistical analysis of the reliability of satellites and investigate the reliability of spacecraft subsystems. Since the data set is censored, I make extensive use of the Kaplan-Meyer estimator to calculate reliability functions and obtain confidence intervals for nonparametric reliability results for each spootik subsystem.