Academic literature on the topic 'Tonzily'

Abstract. The Ent Terrestrial Biosphere Model (Ent TBM) is a mixed-canopy dynamic global vegetation model developed specifically for coupling with land surface hydrology and general circulation models (GCMs). This study describes the leaf phenology submodel implemented in the Ent TBM version 1.0.1.0.0 coupled to the carbon allocation scheme of the Ecosystem Demography (ED) model. The phenology submodel adopts a combination of responses to temperature (growing degree days and frost hardening), soil moisture (linearity of stress with relative saturation) and radiation (light length). Growth of leaves, sapwood, fine roots, stem wood and coarse roots is updated on a daily basis. We evaluate the performance in reproducing observed leaf seasonal growth as well as water and carbon fluxes for four plant functional types at five Fluxnet sites, with both observed and prognostic hydrology, and observed and prognostic seasonal leaf area index. The phenology submodel is able to capture the timing and magnitude of leaf-out and senescence for temperate broadleaf deciduous forest (Harvard Forest and Morgan–Monroe State Forest, US), C3 annual grassland (Vaira Ranch, US) and California oak savanna (Tonzi Ranch, US). For evergreen needleleaf forest (Hyytiäla, Finland), the phenology submodel captures the effect of frost hardening of photosynthetic capacity on seasonal fluxes and leaf area. We address the importance of customizing parameter sets of vegetation soil moisture stress response to the particular land surface hydrology scheme. We identify model deficiencies that reveal important dynamics and parameter needs.

Abstract. The Ent Terrestrial Biosphere Model (Ent TBM) is a mixed-canopy dynamic global vegetation model developed specifically for coupling with land surface hydrology and general circulation models (GCMs). This study describes the leaf phenology submodel implemented in the Ent TBM version 1.0.1.0.0, coupled to the carbon allocation scheme of the Ecosystem Demography (ED) model. The phenology submodel adopts a combination of responses to temperature (growing degree days and frost-hardening), soil moisture (linearity of stress with relative saturation), and radiation (light length). Growth of leaves, sapwood, fine roots, stem wood, and coarse roots is updated on a daily basis. We evaluate the performance in reproducing observed leaf seasonal growth as well as water and carbon fluxes for four plant functional types at five Fluxnet sites, with both observed and prognostic hydrology, and observed and prognostic seasonal leaf area index. The phenology submodel is able to capture the timing and magnitude of leafout and senescence for temperate broadleaf deciduous forest (Harvard Forest and Morgan–Monroe State Forest, US), C3 annual grassland (Vaira Ranch, US), and California oak savanna (Tonzi Ranch, US). For evergreen needleleaf forest (Hyytiäla, Finland), the phenology submodel captures the effect of frost-hardening of photosynthetic capacity on seasonal fluxes and leaf area. We address the importance of customizing parameter sets of vegetation soil moisture stress response to the particular land surface hydrology scheme. We identify model deficiencies that reveal important dynamics and parameter needs.

Abstract. A coupled Bayesian model selection and geostatistical regression modeling approach is adopted for empirical analysis of gross primary productivity (GPP) at six AmeriFlux sites, including the Kennedy Space Center Scrub Oak, Vaira Ranch, Tonzi Ranch, Blodgett Forest, Morgan Monroe State Forest, and Harvard Forest sites. The analysis is performed at a continuum of temporal scales ranging from daily to monthly, for a period of seven years. A total of 10 covariates representing environmental stimuli and indices of plant physiology are considered in explaining variations in GPP. Similarly to other statistical methods, the presented approach estimates regression coefficients and uncertainties associated with the covariates in a selected regression model. Unlike traditional regression methods, however, the approach also estimates the uncertainty associated with the selection of a single "best" model of GPP. In addition, the approach provides an enhanced understanding of how the importance of specific covariates changes with the examined timescale (i.e. temporal resolution). An examination of changes in the importance of specific covariates across timescales reveals thresholds above or below which covariates become important in explaining GPP. Results indicate that most sites (especially those with a stronger seasonal cycle) exhibit at least one prominent scaling threshold between the daily and 20-day temporal scales. This demonstrates that environmental variables that explain GPP at synoptic scales are different from those that capture its seasonality. At shorter time scales, radiation, temperature, and vapor pressure deficit exert the most significant influence on GPP at most examined sites. At coarser time scales, however, the importance of these covariates in explaining GPP declines. Overall, unique best models are identified at most sites at the daily scale, whereas multiple competing models are identified at longer time scales.

Abstract. A coupled Bayesian model selection and geostatistical regression modeling approach is adopted for empirical analysis of gross primary productivity (GPP) at six AmeriFlux sites, including the Kennedy Space Center Scrub Oak, Vaira Ranch, Tonzi Ranch, Blodgett Forest, Morgan Monroe State Forest, and Harvard Forest sites. The analysis is performed at a continuum of temporal scales ranging from daily to monthly, for a period of seven years. A total of 10 covariates representing environmental stimuli and indices of plant physiology are considered in explaining variations in GPP. Similar to other statistical methods, the proposed approach estimates regression coefficients and uncertainties associated with the covariates in a selected regression model. However, unlike traditional regression methods, the presented approach also estimates the uncertainty associated with the selection of a single "best" model of GPP. In addition, the approach provides an enhanced understanding of how the importance of specific covariates changes with temporal resolutions. An examination of trends in the importance of specific covariates reveals scaling thresholds above or below which covariates become significant in explaining GPP. Results indicate that most sites (especially those with a stronger seasonal cycle) exhibit at least one prominent scaling threshold between daily to 20-day temporal scale. This demonstrates that environmental variables that explain GPP at synoptic scales are different from those that capture its seasonality. At shorter time scales, radiation, temperature, and vapor pressure deficit exert most significant influence on GPP at most examined sites. However, at coarser time scales, the importance of these covariates in explaining GPP declines. Overall, unique best models are identified at most sites at the daily scale, whereas multiple competing models are identified at larger time scales. In addition, the selected models are able to explain a larger fraction of the observed variability for sites exhibiting strong seasonality.

Kūdikių ir vaikų iki 5 metų amžiaus grupėje ūminės kvėpavimo takų infekcijos (ŪKTI) sudaro 50 proc. visų ligų. Dažniausiai jos būna sukeltos virusų, lengvos eigos ir reikalingos tik simptominio gydymo. Nepaisant to, pusė ligonių gydomi antibiotikais. Vaikams, sergantiems kvėpavimo takų liga, antibakterinis gydymas turėtų būti skiriamas tik įtarus sunkią bakterinę kvėpavimo takų infekciją ar bakterinę ŪKTI komplikaciją. Iš visų dažniausių ūminių vaikų kvėpavimo takų ligų tik vidurinės ausies uždegimas, tonzilių uždegimas (faringotonzilitas) ir pneumonija paprastai būna bakterinės kilmės ar gali sukelti sunkių bakterinių komplikacijų. S. pneumonia išlieka svarbiausiu bakteriniu ŪKTI patogenu ikimokyklinio amžiaus vaikams. Lietuvoje jo jautrumas penicilinui vis dar 100 proc., todėl mažų vaikų ŪKTI empirinė antibakterinė terapija dažniausiai turėtų būti pradedama penicilino grupės antibiotiku.

The aim ofthis study was to reveal the presence ofHelicobacter pylori (HP) in the Waldeyers lymphatic tissue in the group ofchildren and adults, along with its possible role in the etiology of tonsillar carcinoma and benign diseases (chronic tonsillitis, OSAS, adenoids). In our study we have confirmed the hypothesis that HP is presented m the Waldeyers lymphatic tissue. as well as in the stomach and that the oropharynx and epipharynx are the an extragastric reservoir ofHP. Mucosa associated lymphatic tissue in the stomach is similar to lymphatic tissue ofWaldeyer ring. These conditions can be very favourable for the survival ofHP and thus can promote inflammation changes and immune changes as well as in the stomach. ln our study, using the real-time PCR method we have detected high incidence ofHP DNA in adenoids and tonsillar tissue. ln the group ofbenign diseases, the most frequent genotypes were CagA­ VacAsIbm1 and CagA-VacAslbm2. In the group of patients with tonsillar carcinoma, the most frequent genotype was CagA-VacAslbml. Genotyping identified strains ofHP showed differences in comparison with the predominant strains which are most frequently found in the stomach. Genotypic analysis ofI-IP strains showed that the less prevalent virulent strains ofHP, known as cagA negative and vacA positive....

M.Tech. (Homoeopathy)
Acute tonsillitis is inflammation of the tonsils, caused by a bacterial or viral infection. In most cases it is caused by a viral infection (Clarence & Sasaki, 2008), which is a common cause of upper respiratory tract infections in children (Baker et al., 2012). Tonsillitis is one of the most common causes of absenteeism in school children, which affects school performance (De Martino & Ballotti, 2007). Conventional treatment for viral tonsillitis include anti-inflammatory drugs, which does not actively treat the condition and may cause side effects (Clarence & Sasaki, 2008; Cocazza et al., 2001; Roxane & Nahata, 2006) such as bruising, skin rash, tinnitus, oedema, dyspepsia, depression, nervousness, insomnia, pruritis, visual disturbance, renal failure and gastrointestinal irritation which can result in bleeding (Rainsford, 2003; Scherer, 2012; Snyman, 2007). Tonzolyt® is a commercially available homoeopathic complex remedy indicated for both acute and chronic tonsillitis and sore throat. However, there is a lack of research to support its effectiveness (Herbaforce, 2010). The aim of this study was to determine the efficacy of the homoeopathic complex Tonzolyt® on the symptoms of acute tonsillitis in black children attending a primary school in Gauteng. A Wong-Baker Face Pain Rating Scale measured pain intensity and a modified Semi-quantitative Basis Scale assessed changes in signs and symptoms of tonsillitis. This was a double-blind, placebo-controlled study conducted over six days with daily follow-up assessments. Thirty participants, aged 6-12 years, suffering from acute viral tonsillitis, were recruited from a primary school in Gauteng. Parents / guardians were informed about the study by means of a letter (Appendix H). Attached to the letter there was an information form (Appendix A), as well as a Participant Profile form (Appendix D) to fill in, and a consent form (Appendix B) to sign. Parents / guardians and teachers were requested to refer children who showed signs of tonsillitis to the researcher. The researcher was available on the school premises on...