Assistive technology for older people promises much, but the research evidence suggests that it delivers little. One hypothesis to explain the lack of positive impact is that assistive technology is often implemented with little involvement of older people or other stakeholders, such as family members or care staff. The suggestion is that co-production may ensure that assistive technology solutions are better tailored to people's needs, capacities and living situations. In this article, we review existing studies to examine what works in co-production in relation to processes of design and implementation of assistive technology for older people. Our results show a growing interest in co-production as an approach in this field, with a wide range of approaches being employed. We highlight a number of key lessons from the research, including key issues around who needs to be engaged in the co-production, as well as essential elements of the process itself. Our review suggests that there is considerable potential in using co-production to improve effectiveness of technological solutions to the challenges of age-related impairments. However, we also emphasise the need for more longitudinal research in this area, to examine whether such collaborative approaches can truly deliver the promise of assistive technology for older people.

Despite the multifactorial space of language experience in which people continuously vary, bilinguals are often dichotomized into ostensibly homogeneous groups. The timing of language exposure (age of acquisition) to a second language (L2) is one well-studied construct that is known to impact language processing, cognitive processing, and brain organization, but recent work shows that current language exposure is also a crucial determinant in these domains. Critically, many indices of bilingual experience are inherently subjective and based on self-report questionnaires. Such measures have been criticized in favor of objective measures of language ability (e.g., naming ability or verbal fluency). Here, we estimate the bilingual experience jointly as a function of multiple continuous aspects of experience, including the timing of language exposure, the amount of L2 exposure across communicative contexts, and language entropy (a flexible measure of language balance) across communicative contexts. The results suggest that current language exposure exhibits distinct but interrelated patterns depending on the socio-experiential context of language usage. They also suggest that, counterintuitively, our sample more accurately self-assesses L2 proficiency than native language proficiency. A precise quantification of the multidimensional nature of bilingualism will enhance the ability of future research to assess language processing, acquisition, and control.

Previous genetic studies on hair morphology focused on the overall morphology of the hair using data collected by self-report or researcher observation. Here, we present the first genome-wide association study (GWAS) of a micro-level quantitative measure of hair curvature. We compare these results to GWAS results obtained using a macro-level classification of observable hair curvature performed in the same sample of twins and siblings of European descent. Observational data were collected by trained observers, while quantitative data were acquired using an Optical Fibre Diameter Analyser (OFDA). The GWAS for both the observational and quantitative measures of hair curvature resulted in genome-wide significant signals at chromosome 1q21.3 close to the trichohyalin (TCHH) gene, previously shown to harbor variants associated with straight hair morphology in Europeans. All genetic variants reaching genome-wide significance for both GWAS (quantitative measure lead single-nucleotide polymorphism [SNP] rs12130862, p = 9.5 × 10–09; observational measure lead SNP rs11803731, p = 2.1 × 10–17) were in moderate to very high linkage disequilibrium (LD) with each other (minimum r2 = .45), indicating they represent the same genetic locus. Conditional analyses confirmed the presence of only one signal associated with each measure at this locus. Results from the quantitative measures reconfirmed the accuracy of observational measures.

At present, analysis of diet and bladder cancer (BC) is mostly based on the intake of individual foods. The examination of food combinations provides a scope to deal with the complexity and unpredictability of the diet and aims to overcome the limitations of the study of nutrients and foods in isolation. This article aims to demonstrate the usability of supervised data mining methods to extract the food groups related to BC. In order to derive key food groups associated with BC risk, we applied the data mining technique C5.0 with 10-fold cross-validation in the BLadder cancer Epidemiology and Nutritional Determinants study, including data from eighteen case–control and one nested case–cohort study, compromising 8320 BC cases out of 31 551 participants. Dietary data, on the eleven main food groups of the Eurocode 2 Core classification codebook, and relevant non-diet data (i.e. sex, age and smoking status) were available. Primarily, five key food groups were extracted; in order of importance, beverages (non-milk); grains and grain products; vegetables and vegetable products; fats, oils and their products; meats and meat products were associated with BC risk. Since these food groups are corresponded with previously proposed BC-related dietary factors, data mining seems to be a promising technique in the field of nutritional epidemiology and deserves further examination.

Background: Amyotrophic lateral sclerosis (ALS) is a progressive motor neuron disease resulting in muscle weakness, dysarthria and dysphagia, and ultimately respiratory failure leading to death. Half of the ALS patients survive less than 3 years, and 80% of the patients survive less than 5 years. Riluzole is the only approved medication in Canada with randomized controlled clinical trial evidence to slow the progression of ALS, albeit only to a modest degree. The Canadian Neuromuscular Disease Registry (CNDR) collects data on over 140 different neuromuscular diseases including ALS across ten academic institutions and 28 clinics including ten multidisciplinary ALS clinics. Methods: In this study, CNDR registry data were analyzed to examine potential differences in ALS care among provinces in time to diagnosis, riluzole and feeding tube use. Results: Significant differences were found among provinces, in time to diagnosis from symptom onset, in the use of riluzole and in feeding tube use. Conclusions: Future investigations should be undertaken to identify factors contributing to such differences, and to propose potential interventions to address the provincial differences reported.

The Multilink model that Dijkstra, Wahl, Buytenhuijs, van Halem, Al-jibouri, de Korte, and Rekké (2018) present is an excellent example that connects empirical patterns obtained from behavioral studies with mechanisms that can be implemented in computational models. We have previously argued that implementation of computational models is important because it forces the researchers to be explicit about assumptions and to specify parameters and variables that may be absent in verbal models. The Multilink model, along with BIA/BIA+ and many other models, provides concrete hypotheses regarding the role of variables such as word frequency, word length, orthographic similarity, and phonological neighborhood for researchers to test and verify against empirical data (see examples in the special issue on computational modeling published in this journal; Li, 2013).

The foreign-born population in the United States has reached new heights, and experts predict that the country will be “majority minority” by 2042, possibly earlier. Despite its growing ethnic, racial, national, and other forms of diversity, the fundamental location of Blackness at the bottom of the pyramid of structural racism endures. In attempts to overcome the real and perceived tensions that characterize relationships between immigrants and African Americans, efforts to create space for interpersonal connection and shared structural analysis have proliferated in organizations across the country. Drawing from seventy-five interviews with individuals leading these initiatives and the review of over fifty different pedagogical resources they have developed and used, this article presents a classification and assessment of these programs. We consider these programs using an anti-racist, African Americanist framework reflected in Steinberg’s “standpoint of [the] black figure, crouched on the ground as others pluck fruit off the tree of opportunity” (2005, p. 43), and analyze their successes and shortcomings. Successes include the creation of spaces for interaction across difference and the building of a shared analysis. We find evidence of transformative effects at the intra- and interpersonal levels. The greatest limitations include immigrant-centricity in relationship-building efforts and a reluctance to engage immigrants in conversation about their relationships to Whiteness, Blackness, and racial hierarchies in the United States and in their countries of origin.

Although many studies have investigated the consequences of bilingualism on cognitive control, few have examined the impact of bilingualism on other cognitive domains, such as memory. Of these studies, most have focused on item memory and none have examined the role of bilingualism in source memory (i.e., the memory for contextual details from a previous encounter with a stimulus). In our study, young adult bilinguals and monolinguals completed a source memory test, whose different conditions were designed to stress working memory and inhibitory control. Bilinguals performed significantly faster than monolinguals across all conditions without compromising accuracy, and also showed an overall speed advantage on the Flanker task. We interpret these processing speed advantages within the context of current models of bilingual production.

To investigate familial influences on the full range of variability in attention and activity across adolescence, we collected maternal ratings of 339 twin pairs at ages 12, 14, and 16, and estimated the transmitted and new familial influences on attention and activity as measured by the Strengths and Weaknesses of Attention-Deficit/Hyperactivity Disorder Symptoms and Normal Behavior Scale. Familial influences were substantial for both traits across adolescence: genetic influences accounted for 54%–73% (attention) and 31%–73% (activity) of the total variance, and shared environmental influences accounted for 0%–22% of the attention variance and 13%–57% of the activity variance. The longitudinal stability of individual differences in attention and activity was largely accounted for by familial influences transmitted from previous ages. Innovations over adolescence were also partially attributable to familial influences. Studying the full range of variability in attention and activity may facilitate our understanding of attention-deficit/hyperactivity disorder's etiology and intervention.

A recent movement in cognitive neuroscience is the study of brain networks through functional and effective connectivity. The brain networks approach has already found its influences in the study of the neurobiology of language, but has yet to impact research in the neurocognition of bilingualism and second language. In this article, we briefly review some preliminary evidence in this emerging field and suggest that the understanding of the dynamic changes in brain networks enables us to capture second language learning success, thereby providing new insights into the neural bases of individual differences, neuroplasticity, and bilingualism.

In response to growing concerns about the impact of shale gas development, Pennsylvania's Act 13 of 2012 established an unconventional gas well fee and required the state's Department of Environmental Protection (DEP) to report on the number of such wells. In this article, we analyze the extent to which the DEP complied with its reporting requirements under Act 13. Using publicly available data, we find that the DEP likely omitted between 15,300 and 25,100 unconventional gas wells from its Act 13 report. Left uncorrected, we estimate that Pennsylvania's state, county, and municipal governments could forfeit fees of $205–$303 million in 2012 and up to $0.75–$1.85 billion cumulatively over the expected life of these wells. Rather than an isolated incident, evidence suggests that information management is a systemic and recurring problem within the DEP and its predecessor agencies. We propose the implementation of a relational database and geographic information system as a way for the DEP to fulfill its Act 13 obligations.

Environmental Practice 14:262–277 (2012)

The Upper Cretaceous chalk of northwest Europe was deposited in an open epicontinental sea during a period of high global eustatic sea-level – a unique depositional setting requiring modification of the sequence-stratigraphical approach. In this paper, a framework for the sequence-stratigraphical analysis of the Upper Cretaceous chalk is discussed, and an ideal sequence model presented.

Analysis of the Coniacian succession has identified eight third-order (short-term) cycles of relative sea-level change (∼400 Ka duration), superimposed upon a second-order (longer term) cycle (∼3.2 Ma duration). The third-order cycles represent frequent, basin-wide oceanographic changes for which there are no known tectonic mechanisms. These cycles show a visual correlation with both the δ13C and the δ13C stable isotope curves, indicating a climatic control on sedimentation, probably linked to a Milankovitch eccentricity rhythm.

The long-term trend in independently derived δ13C stable isotope values parallels the long-term relative sea-level curve, reflecting increased production as the shelf area expands. By contrast, the δ18C stable isotope values show little change over the long term, suggesting that tectonics, rather than climate, was the controlling factor on second-order relative sea-level change. This is corroborated by the fact that the long-term cycle is coincident with a phase of increased activity at the mid-ocean ridges, which is thought to allow for a 60 m rise in global sea level.

To define the combined effects of drug and alcohol abuse on verbal learning and memory, 70 alcoholic and 80 polysubstance abuse (PSA) individuals with concurrent alcohol abuse were compared on a list learning task, the California Verbal Learning Test (CVLT). Despite demonstrating similar learning strategies, response styles, and error patterns, the PSA group nonetheless exhibited significantly greater recall deficits than the alcoholic group on the CVLT. These deficits were particularly evident in those who were heaviest abusers of cocaine. PSA participants did not, however, evidence greater recognition memory deficits. This pattern of greater deficits on recall than on recognition memory, as well as poor consolidation, is consistent with the initiation–retrieval difficulties of patient groups with subcortical dysfunction. It is concluded that the combined use of alcohol and drugs, cocaine in particular, may compound memory difficulties beyond what is typically observed in alcoholic individuals. (JINS, 1998, 4, 319–328.)