St. Francis Xavier University

In recent years, the magnitude, consistency, and stability across time of cognitive sex differences have been questioned. The present study examined these issues in the context of spatial abilities. A meta-analysis of 286 effect sizes from a variety of spatial ability measures was conducted. Effect sizes were partitioned by the specific test used and by a number of variables related to the experimental procedure in order to achieve homogeneity. Results showed that sex differences are significant in several tests but that some intertest differences exist. Partial support was found for the notion that the magnitude of sex differences has decreased in recent years. Finally, it was found that the age of emergence of sex differences depends on the test used. Results are discussed with regard to their implications for the study of sex differences in spatial abilities.

Phenolics in Food and Nutraceuticals is the first single-source compendium of essential information concerning food phenolics. This unique book reports the classification and nomenclature of phenolics, their occurrence in food and nutraceuticals, chemistry and applications, and nutritional and health effects. In addition, it describes antioxidant a

Theoretical models of the adjustment process following loss and trauma have emphasized the critical role that finding meaning plays. Yet evidence in support of these models is meager, and definitions of meaning have been too broad to facilitate a clear understanding of the psychological process involved. Using a prospective and longitudinal study of people coping with the loss of a family member, we differentiate 2 construals of meaning--making sense of the event and finding benefit in the experience--and demonstrate that both independently play roles in the adjustment process following the loss. Results indicate that making sense of the loss is associated with less distress, but only in the 1st year postloss, whereas reports of benefit finding are most strongly associated with adjustment at interviews 13 and 18 months postloss.

Narrative inquiry is a methodology that frequently appeals to teachers and teacher educators. However, this appeal and sense of comfort has advantages and disadvantages. Some assume narrative inquiries will be easy to design, live out, and represent in storied formats in journals, dissertations, or books. For the authors, though, narrative inquiry is much more than the telling of stories. There are complexities surrounding all phases of a narrative inquiry and, in this article, the authors pay particular attention to thinking about the design of narrative inquiries that focus on teachers’ and teacher educators’ own practices. They outline three commonplaces and eight design elements for consideration in narrative inquiry. They illustrate these elements using recently completed narrative inquiries. In this way, the authors show the complex dimensions of narrative inquiry, a kind of inquiry that requires particular kinds of wakefulness.

Sonia Nieto makes student learning the primary objective of multicultural education. She draws on a host of research in learning styles, multiple intelligences and cognitive theories to portray the way students learn. Nieto then takes the reader beyond individual learners to discuss the social context of learning, educational equity, the influence of culture on learning and critical pedagogy. Centering on multicultural education as a transformative process, the text includes many reflections of teachers who have undergone this process and whose experiences will be invaluable to other teachers.

POSITION STATEMENT: The following seven points related to the intake of protein for healthy, exercising individuals constitute the position stand of the Society. They have been approved by the Research Committee of the Society. 1) Vast research supports the contention that individuals engaged in regular exercise training require more dietary protein than sedentary individuals. 2) Protein intakes of 1.4 - 2.0 g/kg/day for physically active individuals is not only safe, but may improve the training adaptations to exercise training. 3) When part of a balanced, nutrient-dense diet, protein intakes at this level are not detrimental to kidney function or bone metabolism in healthy, active persons. 4) While it is possible for physically active individuals to obtain their daily protein requirements through a varied, regular diet, supplemental protein in various forms are a practical way of ensuring adequate and quality protein intake for athletes. 5) Different types and quality of protein can affect amino acid bioavailability following protein supplementation. The superiority of one protein type over another in terms of optimizing recovery and/or training adaptations remains to be convincingly demonstrated. 6) Appropriately timed protein intake is an important component of an overall exercise training program, essential for proper recovery, immune function, and the growth and maintenance of lean body mass. 7) Under certain circumstances, specific amino acid supplements, such as branched-chain amino acids (BCAA's), may improve exercise performance and recovery from exercise.

Integration of each aspect of the manufacturing process with the new generation of information technology such as the Internet of Things, big data, and cloud computing makes industrial manufacturing systems more flexible and intelligent. Industrial big data, recording all aspects of the industrial production process, contain the key value for industrial intelligence. For industrial manufacturing, an essential and widely used electronic device is the lithium-ion battery (LIB). However, accurately predicting the remaining useful life (RUL) of LIB is urgently needed to reduce unexpected maintenance and avoid accidents. Due to insufficient amount of degradation data, the prediction accuracy of data-driven methods is greatly limited. Besides, mathematical models established by model-driven methods to represent degradation process are unstable because of external factors like temperature. To solve this problem, a new LIB RUL prediction method based on improved convolution neural network (CNN) and long short-term memory (LSTM), namely Auto-CNN-LSTM, is proposed in this article. This method is developed based on deep CNN and LSTM to mine deeper information in finite data. In this method, an autoencoder is utilized to augment the dimensions of data for more effective training of CNN and LSTM. In order to obtain continuous and stable output, a filter to smooth the predicted value is used. Comparing with other commonly used methods, experiments on a real-world dataset demonstrate the effectiveness of the proposed method.

Surfactants form a unique class of chemical compounds. This review provides an introduction to the nature and physical properties of surfactants, emphasizing their ability to radically alter surface and interfacial properties and to self-associate and solubilize themselves in micelles. These properties provide the means to apply surfactants in wettability modification, detergency, and the displacement of liquid phases through porous media on one hand, and to stabilize dispersions (including foams, froths and emulsions), or to destabilize dispersions (again including foams and emulsions) on the other hand. These in turn lead to a vast array of practical application areas which are illustrated in terms of mineral and petroleum processing, biological systems, health and personal care products, foods, and crop protection.

-g carbon) loss to 70-Pg C gain. For the RCP8.5 projection, losses in soil carbon varied between 74 and 652 Pg C (mean loss, 341 Pg C). For the RCP4.5 projection, gains in vegetation carbon were largely responsible for the overall projected net gains in ecosystem carbon by 2299 (8- to 244-Pg C gains). In contrast, for the RCP8.5 projection, gains in vegetation carbon were not great enough to compensate for the losses of carbon projected by four of the five models; changes in ecosystem carbon ranged from a 641-Pg C loss to a 167-Pg C gain (mean, 208-Pg C loss). The models indicate that substantial net losses of ecosystem carbon would not occur until after 2100. This assessment suggests that effective mitigation efforts during the remainder of this century could attenuate the negative consequences of the permafrost carbon-climate feedback.

Attachment and indiscriminately friendly behavior were assessed in children who had spent at least 8 months in a Romanian orphanage (RO) and two comparison groups of children: a Canadian-born, nonadopted, never institutionalized comparison group (CB) and an early adopted comparison group adopted from Romania before the age of 4 months (EA). Attachment was assessed using 2 measures: an attachment security questionnaire based on parent report, and a Separation Reunion procedure that was coded using the Preschool Assessment of Attachment. Indiscriminately friendly behavior was examined using parents' responses to 5 questions about their children's behavior with new adults. Although RO children did not score differently from either CB or EA children on the attachment security measure based on parent report, they did display significantly more insecure attachment patterns than did children in the other 2 groups. In addition, RO children displayed significantly more indiscriminately friendly behavior than both CB and EA children, who did not differ in terms of indiscriminate friendliness. RO children's insecure attachment patterns were not associated with any aspect of their institutional environment, but were related to particular child and family characteristics. Specifically, insecure RO children had more behavior problems, scored lower on the Stanford-Binet Intelligence Scale, and had parents who reported significantly more parenting stress than RO children classified as secure.

Along with the advancement of several emerging computing paradigms and technologies, such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of Things (IoT) technologies have been applied in a variety of fields. In particular, the Internet of Healthcare Things (IoHT) is becoming increasingly important in human activity recognition (HAR) due to the rapid development of wearable and mobile devices. In this article, we focus on the deep-learning-enhanced HAR in IoHT environments. A semisupervised deep learning framework is designed and built for more accurate HAR, which efficiently uses and analyzes the weakly labeled sensor data to train the classifier learning model. To better solve the problem of the inadequately labeled sample, an intelligent autolabeling scheme based on deep Q-network (DQN) is developed with a newly designed distance-based reward rule which can improve the learning efficiency in IoT environments. A multisensor based data fusion mechanism is then developed to seamlessly integrate the on-body sensor data, context sensor data, and personal profile data together, and a long short-term memory (LSTM)-based classification method is proposed to identify fine-grained patterns according to the high-level features contextually extracted from the sequential motion data. Finally, experiments and evaluations are conducted to demonstrate the usefulness and effectiveness of the proposed method using real-world data.

This study investigated differences in general values, work values and organizational commitment among 549 private sector, public sector, and parapublic sector knowledge workers. No differences in general values were observed across sectors, although five significant work value differences were revealed: parapublic employees value work that contributes to society more than public servants, who value it more than private sector employees; parapublic employees value opportunities for advancement less than both public and private sector employees; public servants value intellectually stimulating and challenging work more than parapublic employees; and private sector employees value prestigious work more than public servants. Private sector employees displayed greater organizational commitment than the employees in the other two sectors. Overall, the findings suggest only limited value differences among employees of the various sectors. The finding of some work value differences between employees in the public and parapublic sectors suggests that these two groups merit separate consideration in comparative studies such as this one.

Six and a half years after adoption. 6- to 12-year-old children reared in Romanian orphanages for more than 8 months in their first years of life (RO. n = 18) had higher cortisol levels over the daytime hours than did early adopted (EA, < or = 4 months of age, n = 15) and Canadian born (CB, n = 27) children. The effect was marked, with 22% of the RO children exhibiting cortisol levels averaged over the day that exceeded the mean plus 2 SD of the EA and CB levels. Furthermore, the longer beyond 8 months that the RO children remained institutionalized the higher their cortisol levels. Cortisol levels for EA children did not differ in any respect from those of CB comparison children. This latter finding reduces but does not eliminate concerns that the results could be due to prenatal effects or birth family characteristics associated with orphanage placement. Neither age at cortisol sampling nor low IQ measured earlier appeared to explain the findings. Because the conditions in Romanian orphanages at the time these children were adopted were characterized by multiple risk factors, including gross privation of basic needs and exposure to infectious agents, the factor(s) that produced the increase in cortisol production cannot be determined. Nor could we determine whether these results reflected effects on the limbic-hypothalamic-pituitary-adrenal axis directly or were mediated by differences in parent-child interactions or family stress occasion by behavioral problems associated with prolonged orphanage care in this sample.

The role of the Arabidopsis homeobox gene, GLABRA 2 (GL2), in the development of the root epidermis has been investigated. The wild-type epidermis is composed of two cell types, root-hair cells and hairless cells, which are located at distinct positions within the root, implying that positional cues control cell-type differentiation. During the development of the root epidermis, the differentiating root-hair cells (trichoblasts) and the differentiating hairless cells (atrichoblasts) can be distinguished by their cytoplasmic density, vacuole formation, and extent of elongation. We have determined that mutations in the GL2 gene specifically alter the differentiation of the hairless epidermal cells, causing them to produce root hairs, which indicates that GL2 affects epidermal cell identity. Detailed analyses of these differentiating cells showed that, despite forming root hairs, they are similar to atrichoblasts of the wild type in their cytoplasmic characteristics, timing of vacuolation, and extent of cell elongation. The results of in situ nucleic acid hybridization and GUS reporter gene fusion studies show that the GL2 gene is preferentially expressed in the differentiating hairless cells of the wild type, during a period in which epidermal cell identity is believed to be established. These results indicate that the GL2 homeodomain protein normally regulates a subset of the processes that occur during the differentiation of hairless epidermal cells of the Arabidopsis root. Specifically, GL2 appears to act in a cell-position-dependent manner to suppress hair formation in differentiating hairless cells.

The secondary active Cl(-) secretion in seawater (SW) teleost fish gills and elasmobranch rectal gland involves basolateral Na(+),K(+)-ATPase and NKCC, apical membrane CFTR anion channels, and a paracellular Na(+)-selective conductance. In freshwater (FW) teleost gill, the mechanism of NaCl uptake is more controversial and involves apical V-type H(+)-ATPase linked to an apical Na(+) channel, apical Cl(-)-HCO-3 exchange and basolateral Na(+),K(+)-ATPase. Ca(2+) uptake (in FW and SW) is via Ca(2+) channels in the apical membrane and Ca(2+)-ATPase in the basolateral membrane. Mainly this transport occurs in mitochondria rich (MR) chloride cells, but there is a role for the pavement cells also. Future research will likely expand in two major directions, molded by methodology: first in physiological genomics of all the transporters, including their expression, trafficking, operation, and regulation at the molecular level, and second in biotelemetry to examine multivariable components in behavioral physiological ecology, thus widening the integration of physiology from the molecular to the environmental levels while deepening understanding at all levels.

Periodic assembly and dispersal of continental fragments has been a characteristic of the solid Earth for much of its history. Geodynamic drivers of this cyclic activity are inferred to be either top-down processes related to near surface lithospheric stresses at plate boundaries or bottom-up processes related to mantle convection and, in particular, mantle plumes, or some combination of the two. Analysis of the geological history of Rodinian crustal blocks suggests that internal rifting and breakup of the supercontinent were linked to the initiation of subduction and development of accretionary orogens around its periphery. Thus, breakup was a top-down instigated process. The locus of convergence was initially around north-eastern and northern Laurentia in the early Neoproterozoic before extending to outboard of Amazonia and Africa, including Avalonia–Cadomia, and arcs outboard of Siberia and eastern to northern Baltica in the mid-Neoproterozoic (~760 Ma). The duration of subduction around the periphery of Rodinia coincides with the interval of lithospheric extension within the supercontinent, including the opening of the proto-Pacific at ca. 760 Ma and the commencement of rifting in east Laurentia. Final development of passive margin successions around Laurentia, Baltica and Siberia was not completed until the late Neoproterozoic to early Paleozoic (ca. 570–530 Ma), which corresponds with the termination of convergent plate interactions that gave rise to Gondwana and the consequent relocation of subduction zones to the periphery of this supercontinent. The temporal link between external subduction and internal extension suggests that breakup was initiated by a top-down process driven by accretionary tectonics along the periphery of the supercontinent. Plume-related magmatism may be present at specific times and in specific places during breakup but is not the prime driving force. Comparison of the Rodinia record of continental assembly and dispersal with that for Nuna, Gondwana and Pangea suggests grouping into two supercycles in which Nuna and Gondwana underwent only partial or no break-up phase prior to their incorporation into Rodinia and Pangea respectively. It was only after this final phase of assembly that the supercontinents then underwent full dispersal.

Recent warming in the Arctic, which has been amplified during the winter1–3, greatly enhances microbial decomposition of soil organic matter and subsequent release of carbon dioxide (CO2)4. However, the amount of CO2 released in winter is not known and has not been well represented by ecosystem models or empirically based estimates5,6. Here we synthesize regional in situ observations of CO2 flux from Arctic and boreal soils to assess current and future winter carbon losses from the northern permafrost domain. We estimate a contemporary loss of 1,662 TgC per year from the permafrost region during the winter season (October–April). This loss is greater than the average growing season carbon uptake for this region estimated from process models (−1,032 TgC per year). Extending model predictions to warmer conditions up to 2100 indicates that winter CO2 emissions will increase 17% under a moderate mitigation scenario—Representative Concentration Pathway 4.5—and 41% under business-as-usual emissions scenario—Representative Concentration Pathway 8.5. Our results provide a baseline for winter CO2 emissions from northern terrestrial regions and indicate that enhanced soil CO2 loss due to winter warming may offset growing season carbon uptake under future climatic conditions. Winter warming in the Arctic will increase the CO2 flux from soils. A pan-Arctic analysis shows a current loss of 1,662 TgC per year over the winter, exceeding estimated carbon uptake in the growing season; projections suggest a 17% increase under RCP 4.5 and a 41% increase under RCP 8.5 by 2100.

Social organisms form striking aggregation patterns, displaying cohesion, polarization, and collective intelligence. Determining how they do so in nature is challenging; a plethora of simulation studies displaying life-like swarm behavior lack rigorous comparison with actual data because collecting field data of sufficient quality has been a bottleneck. Here, we bridge this gap by gathering and analyzing a high-quality dataset of flocking surf scoters, forming well-spaced groups of hundreds of individuals on the water surface. By reconstructing each individual's position, velocity, and trajectory, we generate spatial and angular neighbor-distribution plots, revealing distinct concentric structure in positioning, a preference for neighbors directly in front, and strong alignment with neighbors on each side. We fit data to zonal interaction models and characterize which individual interaction forces suffice to explain observed spatial patterns. Results point to strong short-range repulsion, intermediate-range alignment, and longer-range attraction (with circular zones), as well as a weak but significant frontal-sector interaction with one neighbor. A best-fit model with such interactions accounts well for observed group structure, whereas absence or alteration in any one of these rules fails to do so. We find that important features of observed flocking surf scoters can be accounted for by zonal models with specific, well-defined rules of interaction.

During the past 10 years researchers studying children adopted from Romanian orphanages have had the opportunity to revisit developmental questions regarding the impact of early deprivation on child development. In the present paper the effects of deprivation are examined by reviewing both the early and more recent literature on studies of children who spent the first few years of life in institutions. Special attention is given to the Canadian study of Romanian adoptees in which the author has been involved. Findings across time and studies are consistent in showing the negative impact of institutionalization on all aspects of children's development (intellectual, physical, behavioral, and social emotional). Results of studies show, however, that institutionalization, although a risk factor for less optimal development, does not doom a child to psychopathology. However, the impact of institutionalization is greater when coupled with risk factors in the postinstitutional environment. Methodological and conceptual difficulties in research with institutionalized samples of children are discussed and future directions for research are considered.

The language we use forms an important part of our sense of who we are – of our identity. This book outlines the relationship between our identity as members of groups – ethnic, national, religious and gender – and the language varieties important to each group. What is a language? What is a dialect? Are there such things as language 'rights'? Must every national group have its own unique language? How have languages, large and small, been used to spread religious ideas? Why have particular religious and linguistic 'markers' been so central, singly or in combination, to the ways in which we think about ourselves and others? Using a rich variety of examples, the book highlights the linkages among languages, dialects and identities, with special attention given to religious, ethnic and national allegiances.