Fourth Time Point Research Articles

Organ and tumor dosimetry including method simplification for [177Lu]Lu-PSMA-I&T for treatment of metastatic castration resistant prostate cancer

BackgroundInternal dosimetry in individual patients is essential for safe and effective radioligand therapy. Multiple time point imaging for accurate dosimetry is time consuming and hence can be demanding for nuclear medicine departments as well as patients. The objectives of this study were (1) to assess absorbed doses to organs at risk and tumor lesions for [177Lu]Lu-PSMA-I&T using whole body SPECT imaging and (2) to investigate possible simplified dosimetry protocols.MethodsThis study included 16 patients each treated with 4 cycles of [177Lu]Lu-PSMA-I&T. They underwent quantitative whole body SPECT/CT imaging (3 bed positions) at four time points (TP) comprising 2 h, 24 h, 48 h and 72–168 h post-injection (p.i.). Full 3D dosimetry (reference method) was performed for all patients and dose cycles for organs at risk (kidneys, parotid glands and submandibular glands) and up to ten tumor lesions per patient (resulting in 90 lesions overall). The simplified dosimetry methods (SM) included (1) generating time activity curves for subsequent cycles using a single TP of imaging applying the kinetics of dose cycle 1, and for organs at risk also (2) simple extrapolation from dose cycle 1 and (3) from both, dose cycle 1 and 2.ResultsNormalized absorbed doses were 0.71 ± 0.32 mGy/MBq, 0.28 ± 0.12 mGy/MBq and 0.22 ± 0.08 mGy/MBq for kidneys, parotid glands and submandibular glands, respectively. Tumor doses decreased from 3.86 ± 3.38 mGy/MBq in dose cycle 1 to 2.01 ± 2.65 mGy/MBq in dose cycle 4. Compared to the full dosimetry approach the SM 1 using single TP imaging at 48 h p.i. resulted in the most accurate and precise results for the organs at risk in terms of absorbed doses per cycle and total cumulated dose. For tumor lesions better results were achieved using the fourth TP (≥ 72 h p.i.).ConclusionSimplification of safety dosimetry protocols is possible for [177Lu]Lu-PSMA-I&T therapy. If tumor dosimetry is of interest a later imaging TP (≥ 72 h p.i.) should be used/added to account for the slower kinetics of tumors compared to organs at risk.

Interplay of early negative life events, development of orbitofrontal cortical thickness and depression in young adulthood.

Early negative life events (NLE) have long-lasting influences on neurodevelopment and psychopathology. Reduced orbitofrontal cortex (OFC) thickness was frequently associated with NLE and depressive symptoms. OFC thinning might mediate the effect of NLE on depressive symptoms, although few longitudinal studies exist. Using a complete longitudinal design with four time points, we examined whether NLE during childhood and early adolescence predict depressive symptoms in young adulthood through accelerated OFC thinning across adolescence. We acquired structural MRI from 321 participants at two sites across four time points from ages 14 to 22. We measured NLE with the Life Events Questionnaire at the first time point and depressive symptoms with the Center for Epidemiologic Studies Depression Scale at the fourth time point. Modeling latent growth curves, we tested whether OFC thinning mediates the effect of NLE on depressive symptoms. A higher burden of NLE, a thicker OFC at the age of 14, and an accelerated OFC thinning across adolescence predicted young adults' depressive symptoms. We did not identify an effect of NLE on OFC thickness nor OFC thickness mediating effects of NLE on depressive symptoms. Using a complete longitudinal design with four waves, we show that NLE in childhood and early adolescence predict depressive symptoms in the long term. Results indicate that an accelerated OFC thinning may precede depressive symptoms. Assessment of early additionally to acute NLEs and neurodevelopment may be warranted in clinical settings to identify risk factors for depression.

Resilience as a predictor of habituation

Habituation refers to the physiological adaptation to recurrent stressors, which can be measured by cortisol levels, and is considered a central mechanism in reducing allostatic load. Resilience, a potential factor influencing stress reduction, is the focus of this study. Specifically, the study aims to investigate the impact of resilience, as assessed by the Brief Resilience Scale (BRS), on habituation. The Trier Social Stress Test (TSST) was used as the recurrent stressor, and it was administered to each of the 56 subjects at 4 consecutive measurements. To assess habituation, various physiological parameters including the area under the curve with respect to the ground (AUCg) and with respect to the increase (AUCi), cortisol peak, slope from baseline to peak, and recovery were calculated. Mixed linear models were employed to examine the differences in the influence of resilience on habituation across the different time points. The findings indicate that the influence of resilience significantly varies from the first to the fourth measurement time point for AUCg (p = .048), while no significant differences were observed for the other cortisol parameters. The effects plot suggests that individuals with higher levels of resilience exhibit lower AUCg values throughout the measurements. These findings provide initial evidence supporting resilience as a predictor of cortisol habituation. However, future studies should also consider dynamic resilience models, utilizing longitudinally assessed resilience as a predictor for habituation, to explore whether resilience acts as a determinant of habituation or if habituation itself constitutes a resilience mechanism.

Transatmospheric ileal stoma manometry can be applied for the early detection of stoma outlet obstruction.

Stoma outlet obstruction (SOO) is a common complication of diverting ileostomy and usually detected at the advanced stage when the intestine is obviously obstructed. The objective of this study is to explore the efficacy of transatmospheric ileal stoma manometry (TISM) in early detection of SOO before the manifestation of intestinal obstruction. A single-center prospective study was performed in patients scheduled to undergo reversal ileostomy and laparoscopic anterior rectal resection and diverting ileostomy in Second Affiliated Hospital of Zhejiang University School of Medicine from 1st July 2022 to 31st December 2022. The stoma pressure was measured by TISM at different time points. The mean stoma pressure of the 30 patients before reversal ileostomy was 5.21 cmH2O which was considered as normal standard of stoma pressure, and ranged from 1.2 to 8.56 cmH2O. After excluding two patients with anastomotic leakage, a total of 38 patients who were subjected to laparoscopic anterior rectal resection and diverting ileostomy were further included in this study. The incidence of anastomotic leakage was 5% and that of SOO was 12.5%. The mean postoperative obstruction time was 5.2 (3-7) days and the mean time from elevated stoma pressure to diagnosed as SOO was 2.8 (2-4) days in the five patients who developed SOO. The pressure measured at the third stoma manometry time point (second day after return of gut function) (10.23 vs. 6.04 cmH2O, p<0.001) and the postoperative hospital stay (10 vs. 8.49 days, p=0.028) showed significantly difference between the SOO and non-SOO groups. The pressures measured at the first time point (before return of gut function) (4 vs. 4.49 cmH2O, p=0.585), the second time point (the day of return of gut function) (6.8 vs. 5.62 cmH2O, p=0.123), and the fourth time point (discharge day) (5.88 vs. 5.9 cmH2O, p=0.933) showed no significant difference in both groups. TISM can be utilized for early detection of SOO and can be incorporated as a novel diagnostic method together with abdominal CT scan to realize the goal of ERAS.

Impact of blood tube additives and timing of sampling on blood taurine concentrations in clinically healthy dogs

IntroductionDilated cardiomyopathy can be associated with taurine deficiency in dogs. Blood taurine concentrations can be analyzed in whole blood (WB) and plasma. The study objectives were to investigate agreement between taurine concentrations measured in WB, heparin plasma, and EDTA plasma, determine intraindividual variation in healthy dogs, and evaluate if time from feeding to sampling impacts concentrations. AnimalsTen English Cocker spaniels and 10 dogs of various breeds. Materials and methodsDogs were fasted 12 h prior to initial blood sampling, and the blood was collected at five occasions over eight h. Food was offered immediately after first and one h after fourth sampling time point. ResultsAgreement between taurine concentrations in EDTA plasma and heparinized plasma was good (mean difference 4.5 nmol/mL, 95% confidence interval (CI) 36.8–45.8 nmol/mL). Whole blood concentrations were systematically higher than EDTA and heparin plasma concentrations (mean difference 132.7 nmol/mL, 95% CI 23.6–241.8 nmol/mL, and 127.6 nmol/mL, 95% CI 28.6–226.6 nmol/mL, respectively, all P < 0.001). Intraindividual daily variations in taurine concentration were seen in all additives, with largest variations in plasma (P < 0.001). Taurine concentration in heparinized plasma was higher at first and fifth sampling time points compared to the fourth (P = 0.014). DiscussionAgreement was found between taurine concentrations measured in different additives, with expected higher concentration in WB than plasma. Taurine concentrations measured in heparinized plasma varied with sampling time point. Intraindividual daily variations were observed in all additives, but mainly in plasma samples. ConclusionTaurine concentrations in dogs with suspected deficiency should be interpreted with caution.

Low back pain is associated with sleep disturbance: a 3-year longitudinal study after the Great East Japan Earthquake

BackgroundLow back pain and sleep disturbance are common health problems worldwide which are also commonly observed among people after natural disasters. These symptoms are well known to coexist, and recent reports have indicated that sleep disturbance is a risk factor for low back pain. However, the influence of low back pain on sleep disturbance has rarely been assessed; therefore, this study aimed to clarify the association of low back pain with sleep disturbance, especially focusing on the frequency of low back pain, using 3-year cohort data after the Great East Japan Earthquake.MethodsThis study used the data obtained from people living in the disaster-affected areas after the Great East Japan Earthquake (n = 2,097). Low back pain and sleep disturbance were assessed at 4, 5, 6, and 7 years after the disaster. The frequency of low back pain was defined as the number of low back pain episodes at and before the evaluation time point and categorized into five groups such as absence, 1, 2, 3, and 4 at the fourth time point and four groups such as absence, 1, 2, and 3 at the third time point. Multivariate logistic regression analyses were conducted to assess the association of low back pain with sleep disturbance.ResultsLow back pain was significantly associated with sleep disturbance, and the association was stronger in participants with more frequent low back pain (adjusted odds ratios [95% confidence intervals],1.46 [1.10–1.95] in “1”; 2.02 [1.49–2.74] in “2”; 2.38 [1.67–3.40] in “3”; and 4.08 [2.74–6.06] in “4” in the frequency of low back pain) (P for trend < 0.001). Furthermore, antecedent low back pain was significantly associated with new-onset sleep disturbance, and the association was robust in more frequent low back pain (adjusted odds ratios [95% confidence intervals],1.60 [1.05–2.44] in “1”; 1.96 [1.20–3.21] in “2”; and 2.17 [1.14–4.14] in “3” in the frequency of low back pain) (P for trend = 0.007).ConclusionOur study showed that low back pain is strongly associated with sleep disturbance. Attention should be paid to low back pain to prevent and treat sleep disturbance, especially focusing on chronicity of low back pain.

Identity trajectories and narratives during the transition out of undergraduate education among Georgian emerging adults.

The transition out of university education and into the workforce represents a turning point in terms of the evolution of one's goals, roles, responsibilities, relationships, and lifestyle. For this reason, this transition might create important challenges and opportunities for identity formation. The present mixed-method longitudinal study examined identity formation processes in a sample of Georgian final-year undergraduate students over an 11-month period at four different points before and after graduation. At time 1, 369 participants (20% male, mean age = 21.83) completed self-report questionnaires. Life narratives were collected from a subsample of 40 individuals who participated at the last (i.e., fourth) time point. Latent class growth analysis (LCGA) was used to identify developmental typologies of identity formation based on dimensions of commitment and exploration, collected at all four time points. Four trajectory classes-Moratorium, Foreclosure, Troubled Diffusion, and Undifferentiated-were identified. Qualitative results suggest that childhood and family relationships, independence/autonomy/adulthood, education/occupation, and romantic relationships represented salient identity related themes among the study participants. Narratives of trajectory representatives provided insights and the phenomenological accounts of emerging adults' experiences during the transition and highlight specific characteristics of each trajectory class. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Does the Matthew effect have an impact on the reading skills of Turkish-speaking children?

ABSTRACT Research has often emphasised that children who experience difficulties in learning to read get poorer in their performance, and the gap between good and poor readers increases over time which describes the well-accepted phenomenon called the Mathew Effect. However, some studies have shown that the Matthew Effect has not been confirmed. In this study, the reading growth curves of Turkish-speaking children and the existence of the Matthew Effect in their performances were examined. For this purpose, the reading skills of 482 children were measured twice a year in the first and second grades. A quadratic growth model successfully fit the data to explain overall reading performance across four-time points. Further, three latent classes, named as good, moderate, and poor readers, were identified on the basis of individual trajectories. Accordingly, the difference in performance between good readers and poor readers continued in all time points. Although the difference between classes continued to increase especially in the second and third time points, and supported the Matthew Effect, it showed a horizontal slope in the fourth time point. This slope shows that reading differences between classes may close in the future. The results were discussed on the basis of Turkish sample.

The relationship between spiritual health, health-promoting behaviors, depression and resilience: A longitudinal study of new nurses

AimTo determine if levels of spiritual health, health-promoting behaviors, depressive symptoms and resilience change over time and determine if any variables have an impact on resilience among new nurses. BackgroundNurses provide patients with medical care and emotional support in high-stress environments. Resilience is a characteristic that allows one to adjust to these adverse situations. Resilience can help new nurses withstand the emotional stress of the workplace and improve nurse retention. MethodThe study was conducted from 2017 to 2019 with a convenience sample of nursing students (N = 195). Data were collected at four timepoints with self-report questionnaires on spiritual health, health-promoting behaviors, resilience and the Beck Depression Inventory-II from 2017 to 2019. Three timepoints were collected during the fourth year of the student stage: fall semester (T1), spring semester (T2) and just prior to graduation (T3); the fourth timepoint was the novice stage (T4), after at least 3 months as a registered nurse. General estimating equations determined predictors of resilience. ResultsA total of 124 new nurses completed all questionnaires (63% response rate). Although mean scores fluctuated slightly during the student stage, the scores at T4 were significantly worse for spiritual health (Wald χ2 = 30.23, p < .001), health-promoting behaviors (Wald χ2 = 34.89, p < .001), depressive symptoms (Wald χ2 = 46.75, p < .001) and resilience (Wald χ2 = 21.54, p < .001). Spiritual health, health-promoting behaviors were positively correlated with resilience (p < .001); depressive symptoms were negatively correlated (p < .001). Controlling for the effect of time, resilience of novice nurses was positively associated with nursing school practicum grade, spiritual health and health-promoting behaviors (β = 10.30, p < .001; β = 12.14, p < .001; and β = 14.62, p < .001, respectively) and negatively associated with depressive symptoms (β = − 0.53, p < .001). ConclusionsScores for all variables were similar over the three timepoints of the student stage. However, the significant changes at T4 compared with the student stage suggest the novice stage of nursing was challenging. Increasing resilience could reduce the challenges of transitioning to a hospital environment. Nursing educators and administrators could increase nursing students’ resilience by restructuring the educational curricula. This could include helping nurses increase their spirituality and health-related behaviors and providing psychological support to reduce depressive symptoms. Increasing levels of resilience could reduce nurses’ emotional stress and improve retention of new nurses.

Evidence for interannual persistence of infectious influenza A viruses in Alaska wetlands

Influenza A viruses (IAVs) deposited by wild birds into the environment may lead to sporadic mortality events and economically costly outbreaks among domestic birds. There is a paucity of information, however, regarding the persistence of infectious IAVs within the environment following deposition. In this investigation, we assessed the persistence of 12 IAVs that were present in cloacal and/or oropharyngeal swabs of naturally infected ducks. Infectivity of these IAVs was monitored over approximately one year with each virus tested in five water types: (1) distilled water held in the lab at 4 °C and (2–5) filtered surface water from each of four Alaska sites and maintained in the field at ambient temperature. By evaluating infectivity of IAVs in ovo following sample retrieval at four successive time points, we observed declines in IAV infectivity through time. Many viruses persisted for extended periods, as evidenced by ≥25% of IAVs remaining infectious in replicate samples for each treatment type through three sampling time points (144–155 days post-sample collection) and two viruses remaining viable in a single replicate sample each when tested upon collection at a fourth time point (361–377 days post-sample collection). The estimated probability of persistence of infectious IAVs in all five water types was estimated to be between 0.25 and 0.75 during days 50–200 post-sample collection as inferred through Kaplan-Meier survival analysis. Our results provide evidence that IAVs may remain infectious for extended periods, up to or even exceeding one year, when maintained in surface waters under ambient temperatures. Therefore, wetlands may represent an important medium in which infectious IAVs may reside outside of a biotic reservoir.

Prediction of exercise sudden death in rabbit exhaustive swimming using deep neural network

Background and objectiveModerate exercise contributes to good health. However, excessive exercise may lead to cardiac fatigue, myocardial damage and even exercise sudden death. Monitoring the heart health has important implication to prevent exercise sudden death. Diagnosis methods such as electrocardiogram, echocardiogram, blood pressure and histological analysis have shown that arrhythmia and left ventricular fibrosis are early warning symptoms of exercise sudden death. Heart sounds (HS) can reflect the changes of cardiac valve, cardiac blood flow and myocardial function. Deep learning has drawn wide attention because of its ability to recognize disease. Therefore, a deep learning method combined with HS was proposed to predict exercise sudden death in New Zealand rabbits. The objective is to develop a method to predict exercise sudden death in New Zealand rabbits.MethodsThis paper proposed a method to predict exercise sudden death in New Zealand rabbits based on convolutional neural network (CNN) and gated recurrent unit (GRU). The weight-bearing exhaustive swimming experiment was conducted to obtain the HS of exercise sudden death and surviving New Zealand rabbits (n = 11/10) at four different time points. Then, the improved Viola integral method and double threshold method were employed to segment HS signals. The segmented HS frames at different time points were taken as the input of a combined CNN and GRU called CNN–GRU network to complete the prediction of exercise sudden death.ResultsIn order to evaluate the performance of proposed network, CNN and GRU were used for comparison. When the fourth time point segmented HS frames were taken as input, the result shows that the proposed network has better performance with an accuracy of 89.57%, a sensitivity of 89.38% and a specificity of 92.20%. In addition, the segmented HS frames at different time points were input into CNN–GRU network, and the result shows that with the progress of the experiment, the prediction accuracy of exercise sudden death in New Zealand rabbits increased from 50.98 to 89.57%.ConclusionThe proposed network shows good performance in classifying HS, which proves the feasibility of deep learning in exploring exercise sudden death. Further, it may have important implications in helping humans explore exercise sudden death.

Impact of Parental Education and Physical Activity on the Long-Term Development of the Physical Fitness of Primary School Children: An Observational Study.

Low physical fitness (PF) has been associated with higher risk of suffering from different diseases. The importance of PF is evident already in early ages, as children’s PF appears to be a key factor of their future PF and physical activity level. Among the variables that may have an influence on children’s PF, the importance of parent’s socioeconomic status and active/inactive behaviors has been stressed in several previous studies. However, previous literature has mostly reported this association through cross-sectional studies. The purpose of this study was to examine the impact of parental education and self-reported parental physical activity (PA) on their children’s development of PF during the 4-year duration of primary education. Using German Motor Test 6-18, the major components of PF (sprint velocity, coordination, flexibility, strength endurance, power, and endurance) were measured on a total of 371 children (46.9% girls, 30.6% migration background, 19.6% overweight/obese at the fourth test time point, compliance 70.1%) from 20 primary schools in Tyrol, Austria. Results showed that children with at least one parent with upper secondary education or above obtained significantly higher PF scores at all time points compared to children with both parents with lower secondary education and below. However, PF in both groups developed over time in a comparable manner irrespective of parental education. From the age of 9 years old, children with regularly physically active parents showed a stronger development of PF over the time compared to their peers with parents reporting irregular/no PA. Our results suggest that low-educated parents’ children might be considered a special target group for interventions aiming at increasing PF. More research is needed in order to delve into the potential underdevelopment of PF in 9-year-old children whose parents have low PA levels.

Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging.

It is well-known that expanding glioblastomas typically induce significant deformations of the surrounding parenchyma (i.e., the so-called "mass effect"). In this study, we evaluate the performance of three mathematical models of tumor growth: 1) a reaction-diffusion-advection model which accounts for mass effect (RDAM), 2) a reaction-diffusion model with mass effect that is consistent only in the case of small deformations (RDM), and 3) a reaction-diffusion model that does not include the mass effect (RD). The models were calibrated with magnetic resonance imaging (MRI) data obtained during tumor development in a murine model of glioma (n = 9). We obtained T2-weighted and contrast-enhanced T1-weighted MRI at 6 time points over 10 days to determine the spatiotemporal variation in the mass effect and the volume fraction of tumor cells, respectively. We calibrated the three models using data 1) at the first four, 2) only at the first and fourth, and 3) only at the third and fourth time points. Each of these calibrations were run forward in time to predict the volume fraction of tumor cells at the conclusion of the experiment. The diffusion coefficient for the RDAM model (median of 10.65 × 10 -3 mm 2· d -1) is significantly less than those for the RD and RDM models (17.46 × 10 -3 mm 2· d -1 and 19.38 × 10 -3 mm 2· d -1, respectively). The error in the tumor volume fraction for the RD, RDM, and RDAM models have medians of 40.2%, 32.1%, and 44.7%, respectively, for the calibration using data from the first four time points. The RDM model most accurately predicts tumor growth, while the RDAM model presents the least variation in its estimates of the diffusion coefficient and proliferation rate. This study demonstrates that the mathematical models capture both tumor development and mass effect observed in experiments.

Investigating Dual-Energy CT Post-Contrast Phases for Liver Iron Quantification: A Preliminary Study.

Background and Purpose:Quantification of hepatic virtual iron content (VIC) by using Multidetector Dual Energy Computed Tomography (DECT) has been recently investigated since this technique could offer a good compromise between accuracy and non-invasiveness for liver iron content quantification. The aim of our study is to investigate differences in VIC at different DECT time points (namely baseline and arterial, venous and tardive phases), identifying the most reliable and also exploring the underlying temporal trend of these values.Materials and Methods:Eleven patients who underwent DECT examination and were characterized by low liver fat content were included in this retrospective study. By using the Syngo.via Frontier–DE IronVNC tool, regions of interest (ROI) were placed on the VIC images at 3 hepatic levels, both in left and right liver lobes, at each DECT time point. Friedman’s test followed by Bonferroni-adjusted Wilcoxon signed-rank test for post-hoc analysis was performed to assess differences between DECT timepoints. Page’s L test was performed to test the temporal trend of VIC across the 4 examined timepoints.Results:For both liver lobes, Friedman’s test followed by Bonferroni-adjusted Wilcoxon signed-rank test revealed that VIC values differed significantly when extracted from ROIs placed at the 4 different timepoints. The Page’s L test for multiple comparison revealed a significant growing trend for VIC, from baseline acquisition to the fourth and last time point post-contrast agent injection.Conclusions:The extraction of hepatic VIC in healthy subjects was found to be significantly influenced by the DECT time point chosen for the extrapolation of the VIC values.

Analysis of genome variation in Simple sequence repeat (SSR) of meningococcal isolates

Alteration of repeat tract length within the SSR of phase variable genes may enhance the persistence of isolates within their host for a long time (a period of months) (Alamro et al.,2014). Alamro et al. (2014) showed there was trend towards selection for OFF state or low expression for five phase variable genes (opc, hmbr, nadA, nalP, hpuAB) in three carriers (V54, V124 and V64) within strains belonging into CC174 and CC167 in first, second and third time points. He concluded that the selection for low or OFF state helped N. meningitidis to persist for a long time (Alamro et al., 2014). The current study aimed to detect the alteration in the repeat tracts of the same five variable genes within the previous three carriers (V54, V124, and V64) but for other strains belonging to CC22, CC269, and CC198 at the fourth time point. There was also a trend towards selection for an OFF state or low expression for three genes which are (opc, hpuAb, nalP) with 2/3 (66.6%) carriers while hmbr gene showed ON state in all carriers (100%). This indicates that antibodies formed against (opc, HpuAb, nalP) genes in strains belonging to CC174 and CC167 in first, second and third time points were able to enhance immunization against the isolates in the current study for CC269 and CC22 resulting in the selection for the OFF state or low expression. Conversely, antibodies formed against hmbr gene in the previous time points on isolates within the CC167 may not show immunization against hmbr gene in the isolates of current study CC22, CC198 and CC269 and so the gene stayed in the ON state. Interestingly, the nadA gene was missing from isolates under the current study. These results may reflect important aspects in the vaccination program especially as nadA is one of the component of Bexsero vaccine. Keywords: Phase variation, SSR, Neisseria meningitides.

Human Physiologic Thermogenic Response to Resting Cold-Water Immersion: A Thorough Calorimetric Inquiry

PURPOSE: Navy Diver thermal protection, a primary concern in attempting or completing cold-water tasks, remains inadequate. Optimal heat distribution with minimal energy input is sought. Therefore, heating requirements that support thermal balance (TB) in various cold-water scenarios were quantified. METHODS: Nine active duty Navy personnel underwent four resting immersion scenarios in a temperature-controlled 4900-gallon water tank after donning the same full-body tubesuit calorimeter (for diver heat delivery and measurement), undergarments, and a dry suit (total 1.2 Clo). Each subject achieved TB (<2hrs immersion). TB was defined as temperature equilibrium where core and mean skin temperatures varied < 0.2°F over 20 minutes time. The four scenarios were combinations of the independent variables: 1) inlet tubesuit water temperature (89 and 102°F), and 2) immersion tank temperature (35 or 50°F). RESULTS: Metabolic compensation continuously increased over time (Fig 1a) in the 89°F tubesuit/35°F immersion temperature water group. At the fourth quartile time point (during achievement of thermal balance, Fig 1a - Fourth), subjects in the groups of greater tubesuit heat delivery (102°F) required significantly less metabolic activity than did the coldest scenario (89°F/35°F). Distal anatomical sites showed much lower temperatures than proximal sites (data not shown). Tubesuit heat delivery (Wattage) increased significantly (Fig 1b) with both greater tubesuit temperature (102°F vs 89°F) and in colder water immersion (35°F vs 50°F). Thermal balance was achieved in all scenarios thereby allowing steady-state assessment of heat input/extraction parameters. All * indicate p<0.05. CONCLUSIONS: Given that thermal balance was achieved over the course of each ≤ 2-hr exposure, results suggest that using a lower tubesuit perfusion temperature (89°F vs 102°F) requires less Wattage provided a sufficient metabolic response is activated during the immersion.Figure 1

Long‐term effect of migration background on the development of physical fitness among primary school children

BackgroundChildren with a low socioeconomic status and migration background are more likely to exhibit unfavorable health behavior patterns and higher BMI scores as well as lower physical activity and physical fitness.AimTo evaluate the effect of migration background on the development of physical fitness among primary school children from first to third grade.MethodsIn this longitudinal study, height, weight, and physical fitness of primary school children from Tyrol/Austria were measured five times over a period of 2.5 years using the German motor performance test DMT 6‐18 consisting of eight items testing different subdomains of physical fitness.ResultsA total of 266 children (45% girls) participated in all five tests, of which 69 (26%) children reported to have a migration background (MB). Mixed‐model ANOVA did not reveal a significantly different development of physical fitness (according to the mean total Z‐score of DMT 6‐18) over time, P = 0.883, partial ƞ 2 < 0.01. However, children with MB showed significantly lower physical fitness compared to children without MB, P < 0.001, partial ƞ 2 = 0.06. Controlling for BMI and age did not alter the interpretation of the results. Analyses of the single test items revealed significant differences in motor tests involving strength and endurance.ConclusionPrimary school children with and without MB significantly increased their physical fitness over time in a comparable manner. However, children with MB showed a significantly lower physical fitness at all test time points, which was only partly explained by a higher mean BMI in children with MB. Children with MB outreached the mean baseline fitness level of children without MB not until the fourth test time point, that is after two years. Therefore, a special focus on physical fitness particularly including strength and endurance capacities should be directed to children with MB already in young ages.

Using Mobile Technology (pMOTAR) to Assess Reactogenicity: Protocol for a Pilot Randomized Controlled Trial.

BackgroundAccurate safety monitoring in HIV vaccine trials is vital to eventual licensure and consequent uptake of products. Current practice in preventive vaccine trials, under the HIV Vaccine Trials Network (HVTN), is to capture related side effects in a hardcopy tool. The reconciliation of this tool, 2 weeks after vaccination at the safety visit, is time consuming, laborious, and fraught with error. Unstructured Supplementary Service Data (USSD), commonly used to purchase airtime, has been suggested for collection of safety data in vaccine trials. With saturated access to mobile phones in South Africa, this cheap, accessible tool may improve accuracy and completeness of collected data and prove feasible and acceptable over the hardcopy tool.ObjectiveThe objective of our study is to develop and implement a USSD tool for real-time safety data collection that is feasible and acceptable to participants and staff, allowing for a comparison with the hardcopy tool in terms of completeness and accuracy.MethodsThis feasibility study is being conducted at a single study site, the Centre for the AIDS Programme of Research in South Africa eThekwini Clinical Research site, in South Africa. The feasibility study is nested within a parent phase 1/2a preventive HIV vaccine trial (HVTN 108) as an open-label, randomized controlled trial, open to all consenting parent trial participants. Participants are randomly assigned in a 1:1 ratio to the hardcopy or USSD tool, with data collection targeted to the third and fourth injection time points in the parent trial. Online feasibility and acceptability surveys will be completed by staff and participants at the safety visit. We will itemize and compare error rates between the hardcopy tool and the USSD printout and associated source documentation. We hypothesize that the USSD tool will be shown to be feasible and acceptable to staff and participants and to have superior quality and completion rates to the hardcopy tool.ResultsThe study has received regulatory approval. We have designed and developed the USSD tool to include all the data fields required for reactogenicity reporting. Online feasibility and accessibility surveys in both English and isiZulu have been successfully installed on a tablet. Data collection is complete, but analysis is pending.ConclusionsSeveral HIV preventive vaccine trials are active in Southern Africa, making tools to improve efficiencies and minimize error necessary. Our results will help to determine whether the USSD tool can be used in future vaccine studies and can eventually be rolled out.Trial RegistrationClincalTrials.gov NCT02915016; https://clinicaltrials.gov/ct2/show/NCT02915016 (Archived by WebCite at http://www.webcitation.org/71h0cztDM)Registered Report IdentifierRR1-10.2196/9396

Prediction of Cable Junction Temperature in Power Transmission System based on BP Neural Network optimized by Genetic Algorithm

Two forward neural networks were established in this study. Training and learning of reflection factor data and prediction results were conducted respectively then the weights and thresholds of the two networks are optimized by genetic algorithm, finally the set of target values can still be predicted without reflection factor data. In order to predict the temperature of the conductor in the cable joint of a power transmission system, the genetic algorithm is used to optimize the BP neural network to establish an effective prediction model based on the analysis of the related reflection factors. This model not only has the strong learning ability of BP neural network, but also combines the excellent global searching ability of genetic algorithm. The innovation of this research is that the network 1 is used to train the reflective factor data to get the corresponding time point temperature value, and then the reflective factor data of three consecutive time points are trained by the network 2 to get the fourth time point temperature value. The whole process of solving the temperature value of the fourth time point does not need the reflective factor data of the time point.

Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer

Todevelop and investigate a set of biophysical models based on a mechanically coupled reaction-diffusion model of the spatiotemporal evolution of tumor growth after radiation therapy. Post-radiation therapy response is modeled using a cell death model (Md), a reduced proliferation rate model (Mp), and cell death and reduced proliferation model (Mdp). To evaluate each model, rats (n = 12) with C6 gliomas were imaged with diffusion-weighted magnetic resonance imaging (MRI) and contrast-enhanced MRI at 7 time points over 2weeks. Rats received either 20 or 40Gy between the third and fourth imaging time point. Diffusion-weighted MRI was used to estimate tumor cell number within enhancing regions in contrast-enhanced MRI data. Each model was fit to the spatiotemporal evolution of tumor cell number from time point 1 to time point 5 to estimate model parameters. The estimated model parameters were then used to predict tumor growth at the final 2 imaging time points. The model prediction was evaluated by calculating the error in tumor volume estimates, average surface distance, and voxel-based cell number. For both the rats treated with either 20 or 40Gy, significantly lower error in tumor volume, average surface distance, and voxel-based cell number was observed for the Mdp and Mp models compared with the Md model. The Mdp model fit, however, had significantly lower sum squared error compared with the Mp and Md models. The results of this study indicate that for both doses, the Mp and Mdp models result in accurate predictions of tumor growth, whereas the Md model poorly describes response to radiation therapy.