Distributed coding of duration in rodent prefrontal cortex during time reproduction

As we interact with the external world, we judge magnitudes from sensory information. The estimation of magnitudes has been characterized in primates, yet it is largely unexplored in non-primate species. Here we use time interval reproduction to study rodent behavior and its neural correlates in the context of magnitude estimation. We show that gerbils display primate-like magnitude estimation characteristics in time reproduction. Most prominently their behavioral responses show a systematic overestimation of small stimuli and an underestimation of large stimuli, often referred to as regression effect. We investigated the underlying neural mechanisms by recording from medial prefrontal cortex and show that the majority of neurons respond either during the measurement or the reproduction of a time interval. Cells that are active during both phases display distinct response patterns. We categorize the neural responses into multiple types and demonstrate that only populations with mixed responses can encode the bias of the regression effect. These results help unveil the organizing neural principles of time reproduction and perhaps magnitude estimation in general.

Children’ Stress, Depression, Sleep, and Internet Use

This study examines the connections between children’s sleep, stress, depression, and internet use. Parents believe that sleep effectively reduces children’s stress, while children instead insist that internet use is effective for reducing their stress. Based on that argument, this study has three purposes: to examine whether sleep or internet use is more effective at reducing children's stress, examine whether stress is related to depression, and examine whether sleep affects depression through children's stress as a mediating factor. To this end, this study gathered a sample of 1,796 children from 32 elementary schools—all fourth- to sixth-graders who volunteered to take the survey—and measured their stress level, depression level, sleep hours, and hours of internet use. The Daily Stress Scale of Korean Children, Korean Child Depression Scale, hours of sleep on average per day (sleep), and hours of using electronic devices per day (internet use) were used as the measurements. Regarding the statistical analysis methods used in this study, linear regression was used to examine the regression effect of both sleep and internet use on stress and the regression effect of stress on depression. Path analysis, one of the structural equation models, was also used to find direct, indirect, and mediating effects between variables. The study results show that (i) sleep, not internet usage, effectively relieves children’s stress; (ii) stress is an important influence on depression; and (iii) sufficient sleep reduces stress, which reduces depression. It is recommended that future studies consider the quality of sleep and quantity of sleep for more valid data analysis and carry out follow-up research with wider age groups.

Alternative Models for Calculation of Static Overturning Angle and Lateral Stability Analysis of Subcompact and Universal Tractors

Vehicle lateral stability is evaluated using the static overturning angle. The correct value of this parameter depends on the calculation method. The aim of this study was to compare the latest standard with previously published methodology, to propose two alternative methodologies (Models 1 and 2) and to analyze the influence of various levels of rear wheel ballast weights and overall tire widths on the stability of universal and subcompact tractors. The results showed a significant regression effect of the rear wheel ballast weight on static overturning angle. The influence of the rear wheel ballast weight was higher in the subcompact tractor than in the universal tractor due to a larger distance between the height of the center of gravity and the center of the rear axle. Comparing the latest standard with the previously published methodology, the highest difference values were 13.82% and 7.30%. Both models are based on the previously published methodology and differ from each other in rolling and slope lines. The methodology proposed in Model 2 differed from the standard similarly to the previously published methodology; therefore, it is irrelevant. Model 1 reached differences of only −1.81% and −1.63%, representing a minimal difference from the standard.

Effect of maternal aflatoxin exposure through diet on growth of infants 0 - 3 months in Kisumu county, Kenya

Aflatoxins are naturally occurring carcinogenic toxins associated with poor growth outcomes in young children. Although evidence supports mother-to-infant exposure during pregnancy and breastfeeding, evidence of its effect on growth is limited to the period after introduction of complementary foods. It is, therefore, unclear whether early maternal exposure to aflatoxins affects infant growth right from birth. Prevalence of aflatoxin levels of 40% has been observed in Nyanza region, Kenya, and 22.7% of children under 5 years are stunted. The purpose of this study was to determine the effect of maternal aflatoxin exposure on growth of infants 0-3 months old in Kisumu County, Kenya. Specific objectives were to: establish association between maternal baseline characteristics and aflatoxin exposure; establish association between infant baseline characteristics at birth and maternal aflatoxin exposure; determine effect of maternal aflatoxin exposure on infant growth indicators at 3 months of age. Out of 553 pregnant women who were screened for aflatoxin exposure, 137 exposed and 137 non-exposed women, matched for age and household income, participated in an 8-month cohort study. The women were followed up to delivery and their infants up to 3 months after delivery. Infant length and weight data was collected monthly. Length-for-age (LAZ), weight-for-length (WLZ)) and weight-for-age (WAZ) z-scores were generated. Aflatoxin levels were analyzed using Enzyme Linked Immunosorbent Assay (ELISA) in parts per billion (ppb). Effects of aflatoxin on infant growth outcomes were assessed using multi-variate linear and logistic regression. Effect of maternal aflatoxin exposure on infant length, weight, LAZ, WLZ, WAZ was determined using Cox regression with constant time at risk. Infants of exposed women had lower weight (95% CI:-0.85,-0.53), length (95% CI: -4.08, -3.36), LAZ (95% CI: -1.93, -1.16) and WAZ (95% CI:-1.03, -0.54) at 3 months of age, but there was no difference in WLZ (95% CI:-0.03, 0.74). Risk for stunting was higher in infants of exposed women (RR=4.08; 95% CI: 1.35, 12.29). There was no difference in the risk for underweight (RR=6.61; 95% CI: 0.80-54.33) and wasting (RR=0.37; 95% CI: 0.40, 3.39, P=0.38).These results underpin the need to reduce aflatoxin exposure in infants and young children who are very vulnerable.

Efficacy of Everolimus Low-Dose Treatment for Cardiac Rhabdomyomas in Neonatal Tuberous Sclerosis: Case Report and Literature Review

Background: Cardiac rhabdomyomas (CRs) are the most common cardiac tumors in newborns. Approximately 80–90% of cases are associated with tuberous sclerosis complex (TSC). In selective cases, Everolimus has resulted in a remarkable tumoral regression effect in children with TS. The optimal dosage for neonates is still unknown. Case presentation: We describe the use of Everolimus in a neonate with multiple biventricular CRs, causing subaortic obstruction, in which a low-dose treatment (0.1 mg/die), in an effort to maintain serum trough levels of 3–7 ng/mL, was successfully used off-label, without adverse effects. Conclusions: We showed that a low-dose Everolimus regimen may be an effective and safe treatment for CR regression in TS neonates, when the minimum therapeutic range was maintained.

The Evaluation of the Effect of ICT in HIV Prevention in the General Population in China Based on an Information-Motivation-Behavioral Skill Model

Objectives. With an increase in human immunodeficiency virus (HIV) infection, the application of information and communication technology (ICT) is considered as a helpful solution. The aim of this study is to evaluate the effect of ICT in HIV prevention in the general population based on an information-motivation-behavioral skill (IMB) model. Methods. A national follow-up study on the evaluation of ICT on HIV health education effects before and after large sample intervention was conducted in 16 provinces of China. ICT was used to carry out a six-month educational program on the prevention of HIV for participants using the WeChat platform. The research group conducted a second questionnaire for participants to collect data and built the IMB model using Mplus 7.0 analysis software. Results. A total of 997 questionnaires were sent, and 957 effective questionnaires were recovered, a recovery rate of 96.0%. Before the ICT intervention, the scores of information was 15.68 ± 3.28 , of motivation was 14.47 ± 4.26 , of behavior skills was 2.26 ± 1.08 , and of condom use was 2.19 ± 1.15 . After the ICT intervention, the scores for information ( 18.54 ± 2.48 ), motivation ( 16.06 ± 4.11 ), behavior skills ( 4.74 ± 1.04 ), and condom use ( 2.64 ± 1.15 ) improved significantly. ICT use had a significant regression effect on motivation ( β = 0.237 , P < 0.001 ), behavior skills ( β = 0.997 , P < 0.001 ), and information ( β = 0.441 , P < 0.001 ), while motivation ( β = 0.196 , P < 0.001 ), behavior skills ( β = 0.207 , P < 0.001 ), and information ( β = 0.092 , P < 0.001 ) had a significant regression effect on condom use. Conclusions. The ICT intervention can not only improve information about HIV prevention, motivation, and behavior skills but also promote the use of condoms, so as to achieve the result of promoting behaviors that act to prevent AIDS within the general population.

Distributed coding of stimulus magnitude across the rodent prefrontal cortex

As we interact with the external world, we judge magnitudes from sensory information. The estimation of magnitudes has been characterized in primates, yet it is largely unexplored in non-primate species. Here, we show that gerbils that solve a time-interval reproduction task display primate-like magnitude estimation characteristics, most prominently a systematic overestimation of small stimuli and an underestimation of large stimuli, often referred to as regression effect. We investigated the underlying neural mechanisms by recording from medial prefrontal cortex and show that the majority of neurons respond either during the measurement or the reproduction of a time-interval. Cells that are active during both phases display distinct response patterns. We categorize the neural responses into multiple types and demonstrate that only populations with mixed responses can encode the bias of the regression effect. These results reveal the organizing neural principles of an important higher cognitive function.