Other than that, another suggestion would be to do better error handling. At the moment, it seems like solidcommunity.net is down, but it took me a while to realize that was the problem because I was trying to log in and nothing happened, not even an error message.

Have you looked into interoperability with SolidOS and Liqid chat? Is their data structure and business logic compatible with POD-CHAT? If not (perhaps because of the difference mentioned above), have you had any discussions about the interoperable future of solid chats with the folks of the other projects?


Solid Set Top Box 6141 Software Download


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With the proper setup, the Online LED should be solid green, and the Link LED should either be amber or blue. If this is not the behavior that the SB6141 is displaying, please refer to this table for more information regarding LED behavior.

This Remote Control Unit is suitable for SOLID HD Set-Top Boxes HDS2-6033, HDS2-6024, HDS2-6141, HDS2-6141Pro, HDS2-6303, HDS2-6303Pro, HDS2-6363, HDS2-6312, HDS2-6150, HDS2-9999, HDS2-8181, SF-363


For the first time, an open-framework oxysalt of trivalent vanadium is demonstrated, prepared from a single tetravalent vanadium source under acidic hydrothermal conditions. The borate-incorporated structure features intersecting 2D 16R channels and unusual solid-state redox properties confirmed by K-edge XANES, EPR spectral data and magnetic susceptibility measurements.

Solid methods are the foundation for solid science. In this course we focus not only on how to conduct research, but also increase your awareness of why certain methods and tests are relevant, and how they relate to your research question. The course will help you reflect on the different qualitative and quantitative methods that are most commonly used in digital communication research. You will learn how to choose the method best fitting to your research question and design. We will develop a portfolio that you can use as a resource when conducting research projects in other courses, or in your thesis.

Objective: To study the level of and changes in basal metabolic rate (BMR) in children with a solid tumour at diagnosis and during treatment in order to provide a more accurate estimate of energy requirements for nutritional support.

Conclusions: These data suggest that the BMR of children with a solid tumour is increased at diagnosis and possibly during the first phase of oncologic treatment. This may be important when determining energy requirements for nutritional support.

Nutritional support programs should be tailored to the nutritional needs of each individual patient and should ensure an energy intake that results in a positive energy balance, enabling the child to grow and develop despite the presence of cancer (Picton, 1998; Pencharz, 1998; den Broeder et al, 1998, 2000). The general approach to estimating a child's total daily energy requirement in the absence of direct measurements is to add the energy associated with physical activity, thermogenesis and growth to the estimated basal metabolic rate (BMR), calculated according to the Schofield prediction equations (Schofield, 1985). These equations have shown to provide accurate estimates of BMR in healthy children but not in children with various diseases and concomitant malnutrition (Picton, 1998; Firouzbaksh et al, 1993; Kaplan et al, 1995). Therefore, when calculating total energy requirements in a clinical setting, the estimated BMR should also be corrected for the energy expenditure associated with the presence of disease (and concomitant malnutrition) in order to achieve a better estimate of the energy requirements. In contrast to adult cancer patients, however, data describing the effect of cancer on the BMR of children are limited and mainly involve children with acute lymphoblastic leukemia (Bond et al, 1992; Kien & Camitta, 1987; Vaisman et al, 1993; Stallings et al, 1989; Delbecque-Boussard et al, 1997). The effect of the presence of a solid tumour on the BMR of children has not yet been evaluated and is therefore seldom corrected for. By measuring the BMR of a patient with a solid tumour, and comparing it with the estimated BMR according to Schofield of an individual with the same age, weight and sex, the influence of the presence of a tumour on BMR can be determined, provided all other factors that may influence BMR, such as fever and infection, are ruled out (Fredrix et al, 1991a,o).

This study was set up to assess the level of BMR in children with a solid tumour at diagnosis and during treatment, in order to determine if, or by which factor, the estimated BMR, according to the Schofield equations, should be multiplied to correct for a tumour-induced change in BMR. This was done to obtain a more accurate estimate of a child's energy requirement for nutritional support in the absence of direct measurements. Furthermore, changes in BMR during the study period were assessed.

Thirteen patients with a solid tumour (nine female and four male), recruited from a population of children visiting the Child's Oncology Centre of the University Hospital Nijmegen for treatment of their malignancy, were included in the study. Patients were included when they were older than 8.0y, clinically stable, willing to participate and not diagnosed with acute lymphoblastic leukaemia. All patients asked to participate in the study took part in and completed the study. An informed consent was obtained from the parents of each patient and the Medical Ethics Committee of the University Hospital Nijmegen approved the study.

The BMR in kJ (kcal) per 24h was expressed as percentage of the estimated value of BMR, calculated according to the Schofield formulas based on age, weight and sex (Schofield, 1985). These formulas have been shown to provide accurate estimates of BMR in healthy children and are frequently used in the calculation of total energy requirements in the clinical setting (Firouzbakhsh et al, 1993; Kaplan et al, 1995). These estimates, therefore, served as reference values. The BMR expressed as percentage of the reference value was used to assess whether the BMR of children with a solid tumour differed from the (estimated) BMR of healthy children due to the presence of a tumour, as all others factors possibly influencing BMR were excluded. Patients with a BMR >110% of the reference value were considered to be hypermetabolic (Boothby et al, 1936; Luketich et al, 1990).

Figure 2 illustrates the effect of the presence of a tumour on the BMR of the individual patients during the different phases of treatment by indicating the difference between the measured and reference BMR, while other factors, which may possibly influence BMR, are excluded. Only the patients measured at diagnosis were included (n = 9) and patients were grouped according to the extent of the difference at first measurement. The diagnosis of each patient is also shown. The BMR at diagnosis (= phase 0) was higher than the reference value in all patients (range 3.0-21.4%) and four were considered to be hypermetabolic, three of whom were diagnosed with a lymphoma. During treatment, the difference between the measured and reference BMR decreased in all patients indicating that the BMR of children with a solid tumour returned to the values found in reference children. After one or two phases of treatment, none of the patients were considered hypermetabolic. In patient 3, BMR decreased considerably and the patient became hypometabolic (BMR

To our knowledge this is the first study that longitudinally investigated the BMR of children with a solid tumour from diagnosis onwards. At diagnosis, the measured BMR was higher than the reference BMR in all patients (44% were considered hypermetabolic) and the mean increase was significant (11.6%). During treatment, BMR per kg FFM decreased in all patients measured at diagnosis (mean decrease 12.6%) and after the first two courses of CT the BMR of children with a solid tumour was no longer significantly different from that of healthy reference children, calculated according to the Schofield formulas.

The increase in BMR, compared to the estimated BMR, found in all children at diagnosis indicates that the tumour is more than an inert mass requiring removal. It consists of metabolically active tissue that initially increases the child's basal energy requirements and which should, therefore, be taken into account when energy requirements for nutritional support are calculated. This changes during the course of treatment as can be concluded from our data. They show that the effect of the presence of a solid tumour on BMR reduced during treatment, when the tumour responded to therapy, as the difference between the measured and reference BMR decreased. After the first (or second) phase of treatment, BMR was no longer significantly different from the reference BMR. Therefore, adjustment for increased energy demands imposed by the presence of a solid tumour after this period is no longer necessary, and the estimated BMR of a child with the same age, sex and weight as the patient can then be used in the calculation of energy requirements.

These data confirm the findings of studies, which investigated the metabolic rate in children with leukaemia from diagnosis onwards. Kien & Camitta (1987) and Stallings et al (1989) both measured increased metabolic rates at diagnosis in children with acute lymphoblastic leukaemia, but mainly in children with a high tumour burden. In response to treatment, the increase in metabolic rate disappeared within 14 days (Stallings et al, 1989). The same observation was made by Merrit et al (1981), who studied the BMR in children with acute non-lymphoblastic leukaemia. He found BMR to be raised over a period of 30 days after which values of BMR had returned to normal. In our study it was difficult to comment on the exact time needed to 'normalise' BMR. First of all, the time interval between two measurements was generally longer than 14 and 30 days, respectively, and was not the same for all patients. Furthermore, the decrease in BMR per kg of FFM was found to be associated with the response of the tumour to therapy and, thus, with the effectiveness of therapy. Since the effectiveness of therapy can vary considerably between patients and tumour types, it is not surprising that the time required to restore BMR was not the same for all patients. Our data, however, suggest that at least four courses of CT are needed to reduce the BMR of all patients with a solid tumour to 'normal' levels, but that for most patients ( 70%) two courses of CT are sufficient. This finding confirms data from a study by Bond et al (1992) who found no increase in BMR in 10 children with different types of solid tumour on maintenance CT (more than three courses of CT in addition to initial diagnostic or therapeutic surgery). 006ab0faaa

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