Intake of Artificial Sweeteners by Children: Boon or Bane?

BACKGROUND: Sugar is the main culprit in many health dysfunctions. Excessive sugar intake can negatively affect oral health, precipitate diabetes, and lead to weight gain and obesity. Sucrose is the primary form of sugar, and is strongly correlated with dental caries. Artificial sweeteners are chemically synthesized sugar substitutes that are generally regarded as being low-calorie. OBJECTIVE: This review examines the current evidence in the literature for the need for artificial sweeteners and outlines its implications for the health of children. We briefly outline its adverse effects, and concerns regarding their safety. REVIEW RESULTS: Artificial sweeteners are a widely used food additive. Six main artificial sweeteners are approved by the food and drug administration (FDA). The conflicting results and divergent regulatory norms of each sweetener are a constant cause of concern and debate. However, most studies have spotlighted the beneficial effects of artificial sweeteners. Dental caries diminish with the increase in sweetener intake. An increase in appetite and eventually weight gain is observed in individuals consuming artificial sweeteners. CONCLUSION: Artificial sweeteners are indeed a bane according to present studies, although more research on recently discovered non-nutritive artificial sweeteners is required. It also has a positive effect on overall health disorders. If one curbs the onset of dental caries, then the eventual rise is highly unlikely. CLINICAL SIGNIFICANCE: Artificial sweeteners' effect on lowering dental caries will help to reduce the caries index in general. Oral hygiene is maintained, and the growth of oral bacterium is depressed. Research on novel sweeteners will help to compare their efficacy in caries prevention compared to existing ones. It is necessary to educate people on artificial sweeteners and its implication as one can use them by being aware of their properties.

COVID-19: Ramifications and Effects on University Healthcare Students.

AIM: This study was carefully designed to analyze the perceived psychological impact of the COVID-19 pandemic among Roseman dental students. Students assessed their perceived changes in stress, self-esteem, and lifestyle behavior changes based on the impact of the pandemic. MATERIALS AND METHODS: A self-designed, anonymous, 18-item questionnaire was administered to Roseman dental students after being approved by the Institutional Review Board. Independent samples t-test and one-way ANOVA were utilized for comparison of psychological factors toward gender, as well as year of study. Chi-square correlations between stress and self-esteem, as well as lifestyle behavior, were also reported. RESULTS: In total, 313 students with a mean age of 28.15 (SD:4.21) completed the survey. Statistically significant differences were shown between students based upon age and year of study, with regard to stress and lifestyle behavior changes. Cross-tabulations of stress with self-esteem and lifestyle behavior changes showed positive relationships, as students with higher levels of stress showed significant self-esteem problems and lifestyle behavior changes. The largest frequency of stress/anxiety and lifestyle behavioral changes was found in the age range of 25-34 years old, particularly in the Class of 2024 and 2025. CONCLUSION: The COVID-19 pandemic has imposed a significant psychological impact on dental students at Roseman. However, further studies are needed to assess the long-lasting impacts of the pandemic on University healthcare students as a whole. CLINICAL SIGNIFICANCE: The pandemic has not only affected the way in which dental students progress academically but also as healthcare providers now and into the future.

Calculation of eigenfunction fluxes in nuclear systems.

A new Monte Carlo method is being developed to calculate eigenfunction fluxes in critical or near-critical nuclear systems. The correct estimation of fluxes is essential for radiation protection and shielding near these systems, in addition to isotope production, isotope depletion, nuclear criticality and other applications. The proposed method applies to Monte Carlo criticality eigenvalue calculations in which the fission sites in one generation are used as fission sources in subsequent generations. The usual Monte Carlo power iteration method for such problems often calculates fluxes (eigenfunctions) that are inaccurate and very different in symmetric parts of a problem geometry. The proposed method calculates flux distributions by estimating an approximate fission matrix. The way the fission matrix is estimated and used differs from other recent works. Preliminary results are promising.

The National Ignition Facility neutron imaging system.

The National Ignition Facility (NIF) is scheduled to begin deuterium-tritium (DT) shots possibly in the next several years. One of the important diagnostics in understanding capsule behavior and to guide changes in Hohlraum illumination, capsule design, and geometry will be neutron imaging of both the primary 14 MeV neutrons and the lower-energy downscattered neutrons in the 6-13 MeV range. The neutron imaging system (NIS) described here, which we are currently building for use on NIF, uses a precisely aligned set of apertures near the target to form the neutron images on a segmented scintillator. The images are recorded on a gated, intensified charge coupled device. Although the aperture set may be as close as 20 cm to the target, the imaging camera system will be located at a distance of 28 m from the target. At 28 m the camera system is outside the NIF building. Because of the distance and shielding, the imager will be able to obtain images with little background noise. The imager will be capable of imaging downscattered neutrons from failed capsules with yields Y(n)>10(14) neutrons. The shielding will also permit the NIS to function at neutron yields >10(18), which is in contrast to most other diagnostics that may not work at high neutron yields. The following describes the current NIF NIS design and compares the predicted performance with the NIF specifications that must be satisfied to generate images that can be interpreted to understand results of a particular shot. The current design, including the aperture, scintillator, camera system, and reconstruction methods, is briefly described. System modeling of the existing Omega NIS and comparison with the Omega data that guided the NIF design based on our Omega results is described. We will show NIS model calculations of the expected NIF images based on component evaluations at Omega. We will also compare the calculated NIF input images with those unfolded from the NIS images generated from our NIS numerical modeling code.