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Self-regulation, known as the ability to harness cognitive, emotional, and motivational resources to achieve goals, is hypothesized to contribute to health behaviors across the lifespan. Enhancing self-regulation early in life may increase positive health outcomes. During pre-adolescence, children assume increased autonomy in health behaviors (e.g., eating; physical activity), many of which involve self-regulation. This article presents results from a clinical trial (NCT03060863) that used a factorial design to test behavioral interventions designed to enhance self-regulation, specifically targeting executive functioning, emotion regulation, future-oriented thinking, and approach biases. Participants were 118 children (9–12 years of age, M = 10.2 years) who had a history of living in poverty. They were randomized to receive up to four interventions that were delivered via home visits. Self-regulation was assayed using behavioral tasks, observations, interviews, and parent- and child-report surveys. Results were that self-regulation targets were reliably assessed and that interventions were delivered with high fidelity. Intervention effect sizes were very small to moderate (d range = .02–.65, median = .14), and most were not statistically significant. Intercorrelation analyses indicated that associations between measures within each target varied based on the self-regulation target evaluated. Results are discussed with regard to the role of self-regulation-focused interventions in child health promotion. Implications of findings are reviewed for informing next steps in behavioral self-regulation interventions among children from low-income backgrounds. Published version

Transposable elements (TEs) represent close to half of the genome and are generally disregarded in genomic studies due to their silencing in somatic tissues and difficulty in mapping to their repetitive sequences. Recent studies have revealed that epigenetic dysregulation in cancer can unlock the regulatory potential of transposable elements (TEs), and they can play an important role in cancer progression and oncogenesis. One important consequence of this phenomenon is the pervasive activation of TEs' intrinsic promoters, which leads to generation of thousands of unique transcripts. Many of these transcripts splice into downstream genes and lead to the generation of TE-gene chimeric transcripts. These transcripts can alter the main reading frame of the original transcript to generate unique isoforms of the target gene or generate novel out-of-frame peptides that could be therapeutic targets. In this study, we analyzed the transcriptomes of 11,092 samples from 33 TCGA cancer types and 675 cancer cell lines to comprehensively profile all TE-gene fusion transcripts. Using somatic tissues from FANTOM5 and GTEx, we filtered these transcripts for tumor-specificity and discovered 2,642 tumor-specific TE-gene transcripts that promiscuously occur in nearly all TCGA tumor samples. Computational prediction of reading frames of these transcripts identified 1,202 candidates with the potential to generate tumor-specific TE-derived antigens (TS-TEAs). We further analyzed tumor mass spectrometry data from breast adenocarcinoma and ovarian cancer and confirmed that unique peptide sequences from TS-TEAs could be detected. In addition, we performed HLA-pulldown mass spectrometry and confirmed that TS-TEAs are presented on the cell surface in cancer cell lines. Given that these antigens are highly shared within and across cancer types, we assessed their potential to generate universal antigen-based therapies. Optimal combinations of 5, 10, and 20 TS-TEAs could generate unique peptides that bind to patient-specific HLA alleles for 39.2%, 50.8%, and 60.8% of all TCGA tumors respectively. Lastly, we highlight the tumor-specific membrane proteins transcribed from TE-exapted promoters that can potentially expose novel epitopes on the extracellular surface of cancer cells. These can be valuable targets of CAR-T or alternative antibody-based therapies. In conclusion, we showcase the high prevalence of TE-derived promoter activation in cancer and suggest multiple avenues by which this phenomenon can be targeted therapeutically. Citation Format: Nakul M. Shah, Hyo Sik Jang, Ju Heon Maeng, Shin-Cheng Tzeng, Angela Wu, Changxu Fan, Noah L. Basri, Benjamin Katz, Daofeng Li, Xiaoyun Xing, Bradley S. Evans, Ting Wang. Transposable elements are an abundant and pan-cancer source of shared tumor-specific antigens and membrane targets [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2225.

Socioeconomic status (SES) has been shown to influence children's executive function and cognitive function more generally, and may play a role in one's ability to benefit from a cognitive or academic intervention. However, SES remains largely unstudied in the context of computerized cognitive training. Here we draw from two datasets of 6–18 year-old children completing online cognitive training to examine the impact of SES on executive function. The first study utilizes hierarchical linear modeling to examine how school-level free/reduced-price lunch status relates to executive function following cognitive training. The second study focuses on individual-level free/reduced-price lunch status and adds an active control condition. Both studies find that free/reduced-price lunch status and age are associated with improvements in executive function following training. However, there were no interaction effects between SES and condition, suggesting that there is little difference in how children from different SES groups benefit from computerized cognitive training.

Does silently talking to yourself in the third-person constitute a relatively effortless form of self control? We hypothesized that it does under the premise that third-person self-talk leads people to think about the self similar to how they think about others, which provides them with the psychological distance needed to facilitate self control. We tested this prediction by asking participants to reflect on feelings elicited by viewing aversive images (Study 1) and recalling negative autobiographical memories (Study 2) using either “I” or their name while measuring neural activity via ERPs (Study 1) and fMRI (Study 2). Study 1 demonstrated that third-person self-talk reduced an ERP marker of selfreferential emotional reactivity (i.e., late positive potential) within the first second of viewing aversive images without enhancing an ERP marker of cognitive control (i.e., stimulus preceding negativity). Conceptually replicating these results, Study 2 demonstrated that third-person self-talk was linked with reduced levels of activation in an a priori defined fMRI marker of self-referential processing (i.e., medial prefrontal cortex) when participants reflected on negative memories without eliciting increased levels of activity in a priori defined fMRI markers of cognitive control. Together, these results suggest that third-person self-talk may constitute a relatively effortless form of self-control. This research was supported by funds provided by Michigan State University and the National Institutes of Health (HD065879) to JM and both funds provided by the University of Michigan and a grant provided by the John Templeton Foundation (#349798, #348747) to EK.

The present research explores how the trajectory of learning on a working memory task changes throughout the life span, and whether gains in working memory performance are exclusively a question of initial working memory capacity (WMC) or whether age exerts an independent effect. In a large, cross-sectional study of younger, middle-aged, and older adults, we examined learning on a widely used working memory task-the dual n-back task-over 20 sessions of practice. We found that, while all age groups improved on the task, older adults demonstrated less improvement on the task, and also reached a lower asymptotic maximum performance than younger adults. After controlling for initial WMC, we found that age exerted independent effects on training gains and asymptotic performance; older adults tended to improve less and reached lower levels of performance than younger adults. The difference between younger and older adults' rates of learning depended in part on initial WMC. These results suggest that age-related effects on working memory include not only effects on capacity, but also plasticity and the ability to improve on a task. (PsycINFO Database Record

Tuberculosis is a global burden with an unacceptably high mortality rate, especially in low- and middle-income countries. We reported the case of 34-year-old Somali female with no significant risk factors who initially presented with headache and blurred vision. The patient subsequently developed altered mental status and significant vision changes. Initial lumbar puncture showed lymphocytic pleocytosis with negative gram stain, acid-fast bacilli stain, and culture. Initial polymerase chain reaction for tuberculosis was negative. The patient worsened despite receiving broad-spectrum antibiotics. The patient had a prolonged hospital course and eventually required lumbar drain placement for hydrocephalus. Repeated polymerase chain reactions for Mycobacterium tuberculosis from the lumbar drain samples was positive, and the diagnosis of tuberculous meningitis was confirmed. The patient improved after lumbar drain placement and treatment with isoniazid, rifampin, pyrazinamide, ethambutol and steroid tapering. This case illustrated the challenge of diagnosing tuberculous meningitis.

We explored whether and how cognitive measures of executive function (EF) can be used to help classify academic performance in Kindergarten and first grade using nonparametric cluster analysis. We found that EF measures were useful in classifying low-reading performance in both grades, but mathematics performance could be grouped into low, average, and high groups without the use of EF tasks. Membership in the high-performing groups was more stable through first grade than membership in the low or average groups, and certain Kindergarten EF tasks differentially predicted first-grade reading and mathematics cluster membership. Our results suggest a stronger link between EF deficits and low performance than between EF strengths and high performance. We highlight the importance of simultaneously using academic and cognitive skills to classify achievement, particularly since existing classification schemes have been largely based on arbitrary cutoffs using limited academic measures.

We examined functional connectivity between the locus coeruleus (LC) and the salience network in healthy young and older adults to investigate why people become more prone to distraction with age. Recent findings suggest that the LC plays an important role in focusing processing on salient or goal-relevant information from multiple incoming sensory inputs (Mather et al., 2016). We hypothesized that the connection between LC and the salience network declines in older adults, and therefore the salience network fails to appropriately filter out irrelevant sensory signals. To examine this possibility, we used resting-state-like fMRI data, in which all task-related activities were regressed out (Fair et al., 2007; Elliott et al., 2019) and performed a functional connectivity analysis based on the time-course of LC activity. Older adults showed reduced functional connectivity between the LC and salience network compared with younger adults. Additionally, the salience network was relatively more coupled with the frontoparietal network than the default-mode network in older adults compared with younger adults, even though all task-related activities were regressed out. Together, these findings suggest that reduced interactions between LC and the salience network impairs the ability to prioritize the importance of incoming events, and in turn, the salience network fails to initiate network switching (e.g., Menon and Uddin, 2010; Uddin, 2015) that would promote further attentional processing. A chronic lack of functional connection between LC and salience network may limit older adults' attentional and executive control resources. Virginia Tech startup funds; National Institute on AgingUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute on Aging (NIA) [RO1AG025340] This work was done based on research supports by Virginia Tech startup funds (to T-HL) and grants from the National Institute on Aging RO1AG025340 (to MM).

Mini Cheetah is a small and inexpensive, yet powerful and mechanically robust quadruped robot, intended to enable rapid development of control systems for legged robots. The robot uses custom backdriveable modular actuators, which enable high-bandwidth force control, high force density, and robustness to impacts. Standing around 0.3 m tall and weighing 9 kg, Mini Cheetah can easily be handled by a single operator. We have demonstrated dynamic trot, trot-run, bounding, and pronking gaits on the robot to speeds of up to 2.45 meters per second using Convex Model-Predictive Control (cMPC). In addition to locomotion, we have used the robot to execute 360° backflips, with trajectories generated using offline nonlinear optimization.

This paper presents a novel methodology for implementing optimized jumping behavior on quadruped robots. Our method includes efficient trajectory optimization, precise high-frequency tracking controller and robust landing controller for stabilizing the robot body position and orientation after impact. Experimental validation was successfully conducted on the MIT Cheetah 3, enabling the robot to repeatably jump onto and jump down from a desk with the height of 30″ (0.76 m). The result demonstrates the advantages of the approach as well as the capability of the robot hardware itself.

Several randomized clinical trials have shown the efficacy of percutaneous transversus abdominis plane (TAP) block in decreasing pain after open and minimally invasive surgeries. We postulated that TAP block could be performed by a robot-assisted transperitoneal approach and provide postoperative pain control equivalent to local anesthetic port infiltration.To compare different indicators of postoperative pain between robot-assisted TAP and local anesthetic port infiltration in patients who had undergone robot-assisted radical prostatectomy (RARP).A retrospective comparison of 214 consecutive patients undergoing RARP over a 1-year period was conducted. Patient demographics, comorbidities, operative details, and outcomes, including time to ambulation, pain score, narcotic usage, and length of stay, were compared.In total, 206 patients were included: 101 received local anesthetic port infiltration and 105 robot-assisted TAP block. There were no differences in estimated blood loss, operative time, time to ambulation, and length of stay between the two groups. The robot-assisted TAP block cohort experienced lesser pain than the local anesthetic port infiltration cohort in the intervals of 6 to 12 hours (2.05 vs 3.21, p = 0.0016) and 12 to 18 hours (2.19 vs 2.97, p = 0.0495) postoperation.Robot-assisted TAP block is a safe alternative to local anesthetic port-site infiltration. Robot-assisted TAP is associated with lower postoperative pain scores and less narcotic use than local anesthetic port-site infiltration.

Surrogate decisions involve complex, challenging choices; surrogate decision-makers make treatment decisions for approximately 40% of hospitalized adults and 70% of older adults, and up to 95% of critically ill adults of any age. The purpose of our study was to understand how people make decisions for others and how surrogate decision making is linked to people’s cognition, self-efficacy, and demographics, especially differences in acute (e.g., health and medical care, financial management, and end of life) versus general scenarios (spending time with family, contacting an insurance company on behalf of a family member). Participants were recruited through Amazon’s Mechanical Turk. We collected data from 290 adult participants aged 18 years or older. On average, people reported a higher level of confidence in general versus acute scenario. The differences of confidence in scenario-based surrogate decision-making links to decision-makers’ cognition, self-efficacy, the experience of decision-making, the experience of caregiving, and demographic factors.

Executive function (EF) capacities, such as working memory, cognitive flexibility, and inhibitory control, are both somewhat unitary and separable in nature. Performance on measures of these capacities during aging is often highly correlated with instrumental activities of daily living. The extent to which these capacities change during the course of healthy aging is a salient question. We examine a large cross-sectional sample of N=18,894 individuals aged 18 to 100 from across the United States who completed a set of computerized EF tasks to better understand how the relationship between these measures changes across the lifespan. We included tasks based on n-back working memory, the flanker task, the Stroop task, and other commonly used cognitive assessments related to EF. Using a comparative approach with a variety of methodological techniques, including latent variable analysis, we find that, in general, performance on these tasks is more similar among younger adults and more separable later in life. Specifically, performance on working memory tasks was less likely to be grouped with cognitive flexibility and inhibitory control as a unitary construct in old age. This may be due to variance in growth and declines in different cognitive abilities throughout the lifespan. This work is among the first research to examine the nature of EF using latent variable analysis throughout the lifespan with a large, national sample. We discuss how these findings have important implications for understanding the nature of EF during aging and how they may highlight which functions should be targeted by cognitive interventions.

© 2018 IEEE. This paper presents an implementation of model predictive control (MPC) to determine ground reaction forces for a torque-controlled quadruped robot. The robot dynamics are simplified to formulate the problem as convex optimization while still capturing the full 3D nature of the system. With the simplified model, ground reaction force planning problems are formulated for prediction horizons of up to 0.5 seconds, and are solved to optimality in under 1 ms at a rate of 20-30 Hz. Despite using a simplified model, the robot is capable of robust locomotion at a variety of speeds. Experimental results demonstrate control of gaits including stand, trot, flying-trot, pronk, bound, pace, a 3-legged gait, and a full 3D gallop. The robot achieved forward speeds of up to 3 m/s, lateral speeds up to 1 m/s, and angular speeds up to 180 deg/sec. Our approach is general enough to perform all these behaviors with the same set of gains and weights.

The efficacy of n-back training for children with Attention Deficit Hyperactivity Disorder (ADHD) was tested in a randomized controlled trial. Forty-one children aged 7–14 with ADHD trained on an n-back task, and their performance was compared with that of an active control group (n = 39) who trained on a general knowledge and vocabulary task. The experimental group demonstrated transfer of training to a non-trained n-back task as well as to a measure of inhibitory control. These effects were correlated with the magnitude of training gains. Our results suggest that n-back training may be useful in addressing some of the cognitive and behavioral issues associated with ADHD.

This paper exemplifies the design process for legged machines capable of dynamic behaviors. In order to achieve high performance robots, it is crucial to guarantee harmonious integration between software and hardware. Hence, the development of such capable robotic platforms must address design requirements that meet the assumptions of typical model-based controllers but also respect the physical limitations of a real system. First, we show that proper hardware design choices can greatly aid the control algorithm by approximating the physical robot to the template assumptions. We include actuation and sensing design examples that allows a simple model to capture a major portion of the natural dynamic behavior of the physical machine. Results are applied to a real robot (Figure 1) and we show that the adopted methodology is able to address typical problems in legged robots such as high bandwidth force control and robustness to impact. Finally, a simple model-based balance controller that takes advantage of the fidelity of the template model to the real machine is implemented. These are examples of software-hardware codesign processes that vastly facilitate robotic control.

As part of the System Linkages and Access to Care Initiative, 12 HIV service delivery organizations in New York implemented one of the following three interventions to improve linkage to and retention in HIV care at their site: Peer Support, Appointment Procedures, and Anti-Retroviral Treatment and Access to Services. Aggregate process measure data describing intervention delivery, in conjunction with qualitative findings to help explain barriers and facilitators to achieving full implementation were examined. Process data from the interventions showed shortcomings in the percentage of eligible patients who went on to be enrolled, and the number of enrollees who ultimately received the components of the interventions. Factors identified in qualitative interviews that facilitated implementation and intervention delivery included: concerted buy-in and coordination of staff, building upon existing infrastructure including ensuring sufficient staff capacity, and allowing adaptability of certain parts of the intervention to better fit patient needs and clinical settings.

This paper reports findings from a cross-sectional analysis measuring the relationship between household livelihoods and children's well-being and protection in two districts of western Uganda. 246 households completed a household questionnaire measuring income, assets, livelihood activities, and various child outcomes. Multivariate analysis indicated that household asset level and livelihood activity were both positively associated with improved child physical well-being. Households with greater assets reported fewer child protection risks. Findings suggest that although economic strengthening activities may improve the physical well-being of children, there remains a need to integrate psychosocial support to households to complement such provisions in securing child protection and well-being.

Poor self-regulation (i.e., inability to harness cognitive, emotional, motivational resources to achieve goals) is hypothesized to contribute to unhealthy behaviors across the lifespan. Enhancing early self-regulation may increase positive health outcomes. Obesity is a major public health concern with early-emerging precursors related to self-regulation; it is therefore a good model for understanding self-regulation and health behavior. Preadolescence is a transition when children increase autonomy in health behaviors (e.g., eating, exercise habits), many of which involve self-regulation. This paper presents the scientific rationale for examining self-regulation mechanisms that are hypothesized to relate to health behaviors, specifically obesogenic eating, that have not been examined in children. We describe novel intervention protocols designed to enhance self-regulation skills, specifically executive functioning, emotion regulation, future-oriented thinking, and approach bias. Interventions are delivered via home visits. Assays of self-regulation and obesogenic eating behaviors using behavioral tasks and self-reports are implemented and evaluated to determine feasibility and psychometrics and to test intervention effects. Participants are low-income 9-12 year-old children who have been phenotyped for self-regulation, stress, eating behavior and adiposity through early childhood. Study goals are to examine intervention effects on self-regulation and whether change in self-regulation improves obesogenic eating.

A great deal of interest surrounds the use of transcranial direct current stimulation (tDCS) to augment cognitive training. However, effects are inconsistent across studies, and meta-analytic evidence is mixed, especially for healthy, young adults. One major source of this inconsistency is individual differences among the participants, but these differences are rarely examined in the context of combined training/stimulation studies. In addition, it is unclear how long the effects of stimulation last, even in successful interventions. Some studies make use of follow-up assessments, but very few have measured performance more than a few months after an intervention. Here, we utilized data from a previous study of tDCS and cognitive training [Au, J., Katz, B., Buschkuehl, M., Bunarjo, K., Senger, T., Zabel, C., et al. Enhancing working memory training with transcranial direct current stimulation. Journal of Cognitive Neuroscience, 28, 1419–1432, 2016] in which participants trained on a working memory task over 7 days while receiving active or sham tDCS. A new, longer-term follow-up to assess later performance was conducted, and additional participants were added so that the sham condition was better powered. We assessed baseline cognitive ability, gender, training site, and motivation level and found significant interactions between both baseline ability and motivation with condition (active or sham) in models predicting training gain. In addition, the improvements in the active condition versus sham condition appear to be stable even as long as a year after the original intervention.

Background: Dashboards have been increasingly used in clinic-based interventions, such as clinical performance improvement and monitoring risk of hospital readmissions, and are now gaining traction in population-based interventions, especially in disease assessment. Objective: We describe the design, development, and usage analysis of a geovisualization dashboard, the Ending the Epidemic (ETE) Dashboard. The ETE dashboard is a tool developed to track New York’s progress towards achieving the goal of its ETE Initiative, to reduce new HIV infections from 3000 per year to 750 per year by the end of 2020. Methods: The ETE dashboard was adapted from an existing human-centered geovisualization platform, SanaViz, an Internet-enabled, interactive app incorporating principles of human-centered design and cognitive fit theory to enhance visual exploration of population health data. Usage evaluation of the ETE geovisualization dashboard was conducted using Google Analytics over a 4-week period from March 19 to April 18, 2016. The aim was to monitor user activity and analyze traffic on the ETE dashboard using evidence-based metrics that can provide adequate feedback to enhance its utilization. Usage was characterized based on three metrics: (1) number of unique visits to each page, (2) average time on each page in seconds, and (3) page bounce rate (ie, percentage of visits where user left the site immediately after viewing just a single page). Further analysis was also conducted by cross-tabulating specific usage metrics. Results: Of 860 sessions, 324 sessions were initiated by unique users (37.7%). The most common acquisition channels included direct source (353/860, 41.0%); followed by referral traffic (340/860, 39.5%) and organic search (134/860, 15.5%). Usage statistics indicate that for the 860 sessions initiated by both new and returning users, the average viewing time was 8 minutes, 51 seconds, and the bounce rate was 46%. These statistics reflect positive results given that prior literature estimates an average session duration of 10-20 seconds and a bounce rate of 40-60% for most websites. Key findings from our study showed that the highest bounce rates were seen for the “About” page of the ETE website (65%), which describes the ETE initiative. The lowest bounce rates were seen for the ETE blog page (17%), consistent with prior research on website usage metrics that indicate that blog pages are often the most frequently viewed pages on Web portals. Conclusions: Our findings reveal the potential of Google Analytics as a tool to enhance user traffic and performance of the ETE geovisualization platform by using feedback from regular monitoring of key parameters including page bounce rates and average time on page. It also identifies the need for a follow-up usability assessment of the system. [JMIR Public Health Surveill 2017;3(4):e95]

BackgroundMid-upper-arm circumference (MUAC) and calf circumference (CC) are correlated with body mass index (BMI) in adults and may be useful for screening women with underweight (BMI < 18.5 kg/m2). However, there is no consensus on appropriate MUAC and CC cutoff points in diverse populations, especially in women of reproductive age.ObjectiveTo assess the accuracy of different MUAC and CC cutoff points to screen for underweight and to identify the most appropriate cutoff points in a sample of women of reproductive age from rural northern Vietnam.MethodsAnthropometric measurements (weight, height, MUAC, CC, and triceps and subscapular skinfold thicknesses) were obtained for 4,981 women of reproductive age who participated in a micronutrient intervention trial (PRECONCEPT) in Thái Nguyên Province, Viet- nam. Receiver operating characteristic (ROC) analysis was used to evaluate different cutoff values of MUAC and CC and identify the most appropriate cutoff values to predict underweight.ResultsThe overall prevalence of underweight was 32%. The MUAC value of 23.5 cm and the CC value of 31 cm were identified as the best cutoffs based on low misclassification (16% for MUAC and 21% for CC) and good balance of sensitivity (89% and 85%, respectively) and specificity (71% and 67%, respectively. The ROC curves were similar across different ethnic groups, with the area under the curve (AUC) values reaching 0.89 to 0.93 for MUAC and 0.83 to 0.89 for CC.ConclusionsMUAC and CC perform adequately in screening for underweight in women. The utility of these measurements in predicting functional outcomes should be examined.

This brief commentary considers the potential for new directions in intelligence research, as well as possible pitfalls associated with these approaches. Specifically, this commentary focuses on the use of big data in intelligence research, the study of genes and gene-environment interactions, the interpretation of neuroscience evidence, and the effectiveness of intelligence interventions. The major pitfalls identified include methodological and data analytic limitations, as well as concerns regarding the communication of findings to other scientists and the lay public.

Research suggests that social isolation in Appalachian older adults may be associated with reduced cognitive function. Despite this, few interventions for these individuals incorporate both social and cognitive components in a community-based setting. The “Memory Masterclass” program was developed to address this care challenge, and implemented through an Adult Day Services Center. With 29 community-dwelling older adult participants from western Virginia, the six-week pilot program focused on strategies and practices associated with improving long-term memory or executive function. In addition to the lifestyle-focused curricula, the course included group activities focused on connecting participants to community networks of resources that might enable them to successfully implement lifestyle changes. Findings support the feasibility of implementation with a wider group of rural Appalachian older adults and suggest that individual differences in self-reported memory may be closely tied to improvements following the program.

A web-based survey was used to assess the relationships of religious faith and frequency of church attendance with tipping under conditions of good and bad service. Results indicated that Jews and those with no religion tipped more than Christians and members of other religions, but that the vast majority of Christians tipped at or above the normative 15% of bill size. Worship frequency also significantly interacted with service quality such that the tips of those who frequently worship vary with service quality less than the tips of those who worship less frequently. The practical implications of these results for service workers and restaurants or other service businesses with a large religious clientele are discussed.

Working memory (WM) is a fundamental cognitive ability that supports complex thought but is limited in capacity. Thus, WM training interventions have become very popular as a means of potentially improving WM-related skills. Another promising intervention that has gained increasing traction in recent years is transcranial direct current stimulation (tDCS), a noninvasive form of brain stimulation that can modulate cortical excitability and temporarily increase brain plasticity. As such, it has the potential to boost learning and enhance performance on cognitive tasks. This study assessed the efficacy of tDCS to supplement WM training. Sixty-two participants were randomized to receive either right prefrontal, left prefrontal, or sham stimulation with concurrent visuospatial WM training over the course of seven training sessions. Results showed that tDCS enhanced training performance, which was strikingly preserved several months after training completion. Furthermore, we observed stronger effects when tDCS was spaced over a weekend break relative to consecutive daily training, and we also demonstrated selective transfer in the right prefrontal group to nontrained tasks of visual and spatial WM. These findings shed light on how tDCS may be leveraged as a tool to enhance performance on WM-intensive learning tasks.

Why do some people improve on untrained tasks following cognitive training while others do not? One possibility is that there are individual difference factors that play a key role in cognitive training outcomes. The present chapter examines a range of these factors, including baseline performance, age, personality, and motivation. Some of these factors, such as baseline performance and age, have long been examined in the context of cognitive training, and extant research provides evidence that they contribute to the outcome of both training-related improvements as well as transfer gains. Other factors, including personality and motivation, remain largely unexamined in the context of cognitive training, but preliminary research indicates that they may play a substantial role in the success of these interventions. We suggest that researchers ignore these factors at their peril and that future cognitive training studies should incorporate measures of individual differences in studies well powered enough to examine them. Furthermore, it is possible that for training interventions to be broadly successful for large populations, they must be personalized to take these factors into account.

The current lack of diagnostic and prognostic biomarkers for traumatic brain injury (TBI) confounds treatment and management of patients and is of increasing concern as the TBI population grows. We have generated plasma proteomic profiles from mice receiving TBI by controlled cortical impact at either 1.3 mm or 1.8 mm depth, comparing these against those of sham injured-animals to identify plasma biomarkers specific to mild or severe TBI at 24 hours, 1 month, or 3 months post-injury. To identify possible prognostic biomarkers, we used apolipoprotein E (APOE)3 and APOE4 transgenic mice, which demonstrate relatively favorable and unfavorable outcomes respectively, following TBI. Using a quantitative proteomics approach (isobaric tagging for relative and absolute quantitation--iTRAQ) we have identified proteins that are significantly modulated as a function of TBI and also in response to the TBI*APOE genotype interaction, the latter representing potential prognostic biomarkers. These preliminary data clearly demonstrate plasma protein changes that are not only injury dependent but also interaction dependent. Importantly, these results demonstrate the presence of TBI-dependent and interaction-dependent plasma proteins at a 3-month time point, which is a considerable time post-injury in the mouse model, and will potentially be of significance for combat veterans receiving assessment at extended periods post-injury. Furthermore, our identification of clusters of functionally related proteins indicates disturbance of particular biological modules, which potentially increases their value beyond that of solitary biomarkers.

We examined spindle elongation in anaphase in Saccharomyces cerevisiae cells mutated for the kinesin-5 motor proteins Cin8 and Kip1. Cells were deleted for KIP1 and/or expressed one of two motor-domain Cin8 mutants (Cin8-F467A or Cin8-R196K, which differ in their ability to bind microtubules in vitro, with Cin8-F467A having the weakest ability). We found that, in kinesin-5-mutated cells, predominantly in kip1 Δ cin8-F467A cells, anaphase spindle elongation was frequently interrupted after the fast phase, resulting in a mid-anaphase pause. Expression of kinesin-5 mutants also caused an asymmetric midzone location and enlarged midzone size, suggesting that proper organization of the midzone is required for continuous spindle elongation. We also examined the effects of components of the FEAR pathway, which is involved in the early-anaphase activation of Cdc14 regulatory phosphatase, on anaphase spindle elongation in kip1 Δ cin8-F467A cells. Deletion of SLK19 , but not SPO12 , eliminated the mid-anaphase pause, caused premature anaphase onset and defects in DNA division during anaphase, and reduced viability in these cells. Finally, overriding of the pre-anaphase checkpoint by overexpression of Cdc20 also eliminated the mid-anaphase pause and caused DNA deformation during anaphase in kip1 Δ cin8 - F467A cells. We propose that transient activation of the pre-anaphase checkpoint in kinesin-5-mutated cells induces a Slk19-dependent mid-anaphase pause, which might be important for proper DNA segregation.

cancer significant association with finding upstaging/upgrading at RP specimens in this subset of patients. Positive Surgical Margin (PSM) was noted in 66(16%) patients, and the PSM rate was significantly higher in patients who were upstaged in the RP specimens. The mean follow-up of the study population was 28 months and the predicted Biochemical Recurrence Free survival at 5 years was 92% and 88% in the patients who were not and were upstaged/upgraded at RP specimens respectively CONCLUSIONS: Percentage of positive cores appears to predict pathological upstaging/upgrading at radical prostatectomy in patients subjected to Active Surveillance

Stromal-derived factor (SDF)-1 and its G protein–coupled receptor, CXCR4, regulate stem/progenitor cell migration and retention in the marrow and are required for hematopoiesis. We show here an interaction between CXCR4 and the Src-related kinase, Lyn, in normal progenitors. We demonstrate that CXCR4-dependent stimulation of Lyn is associated with the activation of phosphatidylinositol 3-kinase (PI3-kinase). This chemokine signaling, which involves a Src-related kinase and PI3-kinase, appears to be a target for BCR/ABL, a fusion oncoprotein expressed only in leukemia cells. We show that the binding of phosphorylated BCR/ABL to Lyn results in the constitutive activation of Lyn and PI3-kinase, along with a total loss of responsiveness of these kinases to SDF-1 stimulation. Inhibition of BCR/ABL tyrosine kinase with STI571 restores Lyn responsiveness to SDF-1 signaling. Thus, BCR/ABL perturbs Lyn function through a tyrosine kinase-dependent mechanism. Accordingly, the blockade of Lyn tyrosine kinase inhibits both BCR/ABL-dependent and CXCR4-dependent cell movements. Our results demonstrate, for the first time, that Lyn-mediated pathological crosstalk exists between BCR/ABL and the CXCR4 pathway in leukemia cells, which disrupts chemokine signaling and chemotaxis, and increases the ability of immature cells to escape from the marrow. These results define a Src tyrosine kinases-dependent mechanism whereby BCR/ABL (and potentially other oncoproteins) dysregulates G protein–coupled receptor signaling and function of mammalian precursors.

Cognitive training often utilizes game-like motivational features to keep participants engaged. It is unclear how these elements, such as feedback, reward, and theming impact player performance during training. Recent research suggests that motivation and engagement are closely related to improvements following cognitive training. We hypothesized that training paradigms featuring game-like motivational elements would be more effective than a version with no motivational elements. Five distinct motivational features were chosen for examination: a real-time scoring system, theme changes, prizes, end-of-session certificates, and scaffolding to explain the lives and leveling system included in the game. One version of the game was created with all these motivational elements included, and one was created with all of them removed. Other versions removed a single element at a time. Seven versions of a game-like n-back working memory task were then created and administered to 128 students in second through eight grade at school-based summer camps in southeastern Michigan. The inclusion of real-time scoring during play, a popular motivational component in both entertainment games and cognitive training, was found to negatively impact training improvements over the three day period. Surprisingly, scaffolding to explain lives and levels also negatively impacted training gains. The other game adjustments did not significantly impact training improvement compared to the original version of the game with all features included. These findings are preliminary and are limited by both the small sample size and the brevity of the intervention. Nonetheless, these findings suggest that certain motivational elements may distract from the core cognitive training task, reducing task improvement, especially at the initial stage of learning.

Making new breakthroughs in understanding the processes underlying human cognition may depend on the availability of very large datasets that have not historically existed in psychology and neuroscience. Lumosity is a web-based cognitive training platform that has grown to include over 600 million cognitive training task results from over 35 million individuals, comprising the largest existing dataset of human cognitive performance. As part of the Human Cognition Project, Lumosity's collaborative research program to understand the human mind, Lumos Labs researchers and external research collaborators have begun to explore this dataset in order uncover novel insights about the correlates of cognitive performance. This paper presents two preliminary demonstrations of some of the kinds of questions that can be examined with the dataset. The first example focuses on replicating known findings relating lifestyle factors to baseline cognitive performance in a demographically diverse, healthy population at a much larger scale than has previously been available. The second example examines a question that would likely be very difficult to study in laboratory-based and existing online experimental research approaches at a large scale: specifically, how learning ability for different types of cognitive tasks changes with age. We hope that these examples will provoke the imagination of researchers who are interested in collaborating to answer fundamental questions about human cognitive performance.

The phase control of molecular absorption, first proposed by Shapiro, Hepburn, and Brumer was accomplished with CH3I using the technique of Chen, Yin, and Elliott. Red light (λ near 603 nm) was focused in a cell containing CH3I gas at a pressure around 1 Torr. The emerging light, a coherent mixture of the fundamental and the third harmonic (λ near 201 nm), was refocused on a molecular beam of CH3I and multiphoton ionization was detected. Ionization was by two simultaneous processes: a uv photon absorption followed by the absorption of two red photons (1+2 process) and an absorption of three red photons followed by the absorption of two more (3+2 process). Because of the sharp resonant Rydberg transition at 201 nm, the one and three photon matrix elements dominate the transition. Interference between the amplitudes of these two paths was demonstrated by varying the pressure and, hence, the index of refraction of the Ar gas in a tuning cell where the two light beams were refocused by two spherical mirrors. The modulation depth varied with wavelength but had a maximum of 75%, the largest modulation so far observed in this kind of experiment.

The dynamical stereochemistry of the reaction of hot F atoms with HD is discussed with reference to the measured branching ratio using both exact and model classical trajectory computations. It is argued that the dominant effects are due to the shift of the center of mass from the center of charge. In particular this leads to enhanced reactivity of the D end of the molecule due both to reorientation of the molecule and to the recrossing of the barrier. The observed preference for reaction at the H end is attributed to HD rotational excitation reflecting however the shape of the potential energy surface and not the longer arm of the H atom about the center of mass. Measuring the reaction cross sections for rotationally cold HD will provide a critical test of our understanding of the dynamics.

S. cerevisiae anaphase spindle elongation is accomplished by the overlapping function of dynein and the kinesin-5 motor proteins, Cin8 and Kip1. Cin8 and dynein are synthetically lethal, yet the arrest phenotypes of cells eliminated for their function had not been identified. We found that at a non-permissive temperature, dyn1 Delta cells that carry a temperature-sensitive cin8 - 3 mutation arrest at mid-anaphase with a unique phenotype, which we named TAN (two microtubule asters in one nucleus). These cells enter anaphase, but fail to proceed through the slow phase of anaphase B. At a permissive temperature, dyn1 Delta, cin8 - 3 or dyn1 Delta cin8 - 3 cells exhibit perturbed spindle midzone morphologies, with dyn1Delta cin8 - 3 anaphase spindles also being profoundly bent and nonrigid. Sorbitol, which has been suggested to stabilize microtubules, corrects these defects and suppresses the TAN phenotype. We conclude that dynein and Cin8 cooperate in anaphase midzone organization and influence microtubule dynamics, thus enabling progression through the slow phase of anaphase B.