A step counting hill climbing algorithm

This paper presents a new single-parameter local search heuristic named Step Counting Hill Climbing algorithm (SCHC). It is a very simple method in which the current cost serves as an acceptance bound for a number of consecutive steps. This is the only parameter in the method that should be set up by the user. Furthermore, the counting of steps can be organized in different ways; therefore the proposed method can generate a large number of variants and also extensions. In this paper, we investigate the behaviour of the three basic variants of SCHC on the university exam timetabling problem. Our experiments demonstrate that the proposed method shares the main properties with the Late Acceptance Hill Climbing method, namely its convergence time is proportional to the value of its parameter and a non-linear rescaling of a problem does not affect its search performance. However, our new method has two additional advantages: a more flexible acceptance condition and better overall performance. In this study we compare the new method with Late Acceptance Hill Climbing, Simulated Annealing and Great Deluge Algorithm. The Step Counting Hill Climbing has shown the strongest performance on the most of our benchmark problems used

Developing and Pilot Testing a Spanish Translation of CollaboRATE for Use in the United States

Background/Aim Given the need for access to patient-facing materials in multiple languages, this study aimed to develop and pilot test an accurate and understandable translation of CollaboRATE, a three-item patient-reported measure of shared decision-making, for Spanish-speaking patients in the United States (US). Method We followed the Translate, Review, Adjudicate, Pre-test, Document (TRAPD) survey translation protocol. Cognitive interviews were conducted with Spanish-speaking adults within an urban Massachusetts internal medicine clinic. For the pilot test, all patients with weekday appointments between May 1 and May 29, 2015 were invited to complete CollaboRATE in either English or Spanish upon exit. We calculated the proportion of respondents giving the best score possible on CollaboRATE and compared scores across key patient subgroups. Results: Four rounds of cognitive interviews with 26 people were completed between January and April 2015. Extensive, iterative refinements to survey items between interview rounds led to final items that were generally understood by participants with diverse educational backgrounds. Pilot data collection achieved an overall response rate of 73 percent, with 606 (49%) patients completing Spanish CollaboRATE questionnaires and 624 (51%) patients completing English CollaboRATE questionnaires. The proportion of respondents giving the best score possible on CollaboRATE was the same (86%) for both the English and Spanish versions of the instrument. Discussion Our translation method, guided by emerging best practices in survey and health measurement translation, encompassed multiple levels of review. By conducting four rounds of cognitive interviews with iterative item refinement between each round, we arrived at a Spanish language version of CollaboRATE that was understandable to a majority of cognitive interview participants and was completed by more than 600 pilot questionnaire respondents

Socioeconomic Inequalities in Childhood Undernutrition in India: Analyzing Trends between 1992 and 2005

India experienced a rapid economic boom between 1991 and 2007. However, this economic growth has not translated into improved nutritional status among young Indian children. Additionally, no study has assessed the trends in social disparities in childhood undernutrition in the Indian context. We examined the trends in social disparities in underweight and stunting among Indian children aged less than three years using nationally representative data.We analyzed data from the three cross-sectional rounds of National Family Health Survey of India from 1992, 1998 and 2005. The social factors of interest were: household wealth, maternal education, caste, and urban residence. Using multilevel modeling to account for the nested structure and clustering of data, we fit multivariable logistic regression models to quantify the association between the social factors and the binary outcome variables. The final models additionally included age, gender, birth order of child, religion, and age of mother. We analyzed the trend by testing for interaction of the social factor and survey year in a dataset pooled from all three surveys.While the overall prevalence rates of undernutrition among Indian children less than three decreased over the 1992-2005 period, social disparities in undernutrition over these 14 years either widened or stayed the same. The absolute rates of undernutrition decreased for everyone regardless of their social status. The disparities by household wealth were greater than the disparities by maternal education. There were no disparities in undernutrition by caste, gender or rural residence.There was a steady decrease in the rates of stunting in the 1992-2005 period, while the decline in underweight was greater between 1992 and 1998 than between 1998 and 2005. Social disparities in childhood undernutrition in India either widened or stayed the same during a time of major economic growth. While the advantages of economic growth might be reaching everyone, children from better-off households, with better educated mothers appear to have benefited to a greater extent than less privileged children. The high rates of undernutrition (even among the socially advantaged groups) and the persistent social disparities need to be addressed in an urgent and comprehensive manner

New horizons in geriatric medicine education and training: the need for pan-European education and training standards

The ageing population ought to be celebrated as evidence for the efficacy of modern medicine, but the challenge that this demographic shift presents for 21st century healthcare systems, with increasing numbers of people living with multi-morbidity and frailty, cannot be ignored. There is therefore a need to ensure that all healthcare professionals grasp the basic principles of care of older people. In this paper, we make a case for the development of pan-European education and training standards for the field of geriatric medicine. Firstly, the challenges which face the implementation and delivery of geriatric medicine in a systematic way across Europe are described – these include, but are not limited to; variance in geriatric medicine practice across Europe, insecurity of the specialty in some countries and significant heterogeneity in geriatric medicine training programs across Europe. The opportunities for geriatric medicine are then presented and we consider how engendering core geriatric medicine competencies amongst nongeriatricians has potential to bridge existing gaps in service provision across Europe. Finally, we consider how work can proceed to teach sufficient numbers of doctors and health professionals in the core knowledge, skills and attitudes required to do this. To safeguard the future of the specialty across Europe, we contend that there is a need to strive towards harmonisation of post-graduate geriatric medicine training across Europe, through the establishment of pan-European education and training standards in the specialty

Interprofessional education in geriatric medicine: towards best practice. A controlled before-after study of medical and nursing students

Objectives. To investigate nursing and medical students’ readiness for interprofessional learning before and after implementing geriatric interprofessional education (IPE), based on problem-based learning (PBL) case scenarios. To define the optimal number of geriatric IPE sessions, the size and the ratio of participants from each profession in the learner groups, the outcomes related to the Kirkpatrick four-level typology of learning evaluation, students’ concerns about joint learning and impact of geriatric IPE on these concerns. The study looked at the perception of roles and expertise of the ‘other’ profession in interprofessional teams, and students’ choice of topics for future sessions. Students’ expectations, experience, learning points and the influence on the understanding of IP collaboration, as well as their readiness to participate in such education again were investigated. Design. A controlled before–after study (2014/2015, 2015/2016) with data collected immediately before and after the intervention period. Study includes additional comparison of the results from the intervention with a control group of students. Outcomes were determined with a validated ‘Readiness for Interprofessional Learning’ questionnaire, to which we added questions with free comments, combining quantitative and qualitative research methods. The teaching sessions were facilitated by experienced practitioners/educators, so each group had both, a clinician (either geratology consultant or registrar) and a senior nurse. Participants. 300 medical, 150 nursing students. Setting. Tertiary care university teaching hospital. Results. Analysis of the returned forms in the intervention group had shown that nursing students scored higher on teamwork and collaboration post-IPE (M=40.78, SD=4.05) than pre-IPE (M=34.59, SD=10.36)—statistically significant. On negative professional identity, they scored lower post-IPE (M=7.21, SD=4.2) than pre-IPE (M=8.46, SD=4.1)—statistically significant. The higher score on positive professional identity post-IPE (M=16.43, SD=2.76) than pre-IPE (M=14.32, SD=4.59) was also statistically significant. Likewise, the lower score on roles and responsibilities post-IPE (M=5.41, SD=1.63) than pre-IPE (M=6.84, SD=2.75). Medical students scored higher on teamwork and collaboration post-IPE (M=36.66, SD=5.1) than pre-IPE (M=32.68, SD=7.4)—statistically significant. Higher positive professional identity post-IPE (M=14.3, SD=3.2) than pre-IPE (M=13.1, SD=4.31)—statistically significant. The lower negative professional identity post-IPE (M=7.6, SD=3.17) than pre-IPE (M=8.36, SD=2.91) was not statistically significant. Nor was the post-IPE difference over roles and responsibilities (M=7.4, SD=1.85), pre-IPE (M=7.85, SD=2.1). In the control group, medical students scored higher for teamwork and collaboration post-IPE (M=36.07, SD=3.8) than pre-IPE (M=33.95, SD=3.37)—statistically significant, same for positive professional identity post-IPE (M=13.74, SD=2.64), pre-IPE (M=12.8, SD=2.29), while negative professional identity post-IPE (M=8.48, SD=2.52), pre-IPE (M=9, SD=2.07), and roles and responsibilities post-IPE (M=7.89, SD=1.69), pre-IPE (M=7.91, SD=1.51) shown no statistically significant differences. Student concerns, enhanced understanding of collaboration and readiness for future joint work were addressed, but not understanding of roles. Conclusions. Educators with nursing and medical backgrounds delivered geriatric IPE through case-based PBL. The optimal learner group size was determined. The equal numbers of participants from each profession for successful IPE are not necessary. The IPE delivered by clinicians and senior nurses had an overall positive impact on all participants, but more markedly on nursing students. Surprisingly, it had the same impact on medical students regardless if it was delivered to the mixed groups with nursing students, or to medical students alone. Teaching successfully addressed students’ concerns about joint learning and communication and ethics were most commonly suggested topics for the future

Using CollaboRATE, a brief patient‐reported measure of shared decision making: Results from three clinical settings in the United States

Abstract Introduction: CollaboRATE is a brief patient survey focused on shared decision making. This paper aims to (i) provide insight on facilitators and challenges to implementing a real‐time patient survey and (ii) evaluate CollaboRATE scores and response rates across multiple clinical settings with varied patient populations. Method All adult patients at three United States primary care practices were eligible to complete CollaboRATE post‐visit. To inform key learnings, we aggregated all mentions of unanticipated decisions, problems and administration errors from field notes and email communications. Mixed‐effects logistic regression evaluated the impact of site, clinician, patient age and patient gender on the CollaboRATE score. Results: While CollaboRATE score increased only slightly with increasing patient age (OR 1.018, 95% CI 1.014‐1.021), female patient gender was associated with significantly higher CollaboRATE scores (OR 1.224, 95% CI 1.073‐1.397). Clinician also predicts CollaboRATE score (random effect variance 0.146). Site‐specific factors such as clinical workflow and checkout procedures play a key role in successful in‐clinic implementation and are significantly related to CollaboRATE scores, with Site 3 scoring significantly higher than Site 1 (OR 1.759, 95% CI 1.216 to 2.545) or Site 2 (z=−2.71, 95% CI −1.114 to −0.178). Discussion This study demonstrates that CollaboRATE can be used in diverse primary care settings. A clinic's workflow plays a crucial role in implementation. Patient experience measurement risks becoming a burden to both patients and administrators. Episodic use of short measurement tools could reduce this burden

"You have to get wet to learn how to swim" applied to bridging the gap between research into personnel scheduling and its implementation in practice

Personnel scheduling problems have attracted research interests for several decades. They have been considerably changed over time, accommodating a variety of constraints related to legal and organisation requirements, part-time staff, flexible hours of staff, staff preferences, etc. This led to a myriad of approaches developed for solving personnel scheduling problems including optimisation, meta-heuristics, artificial intelligence, decision-support, and also hybrids of these approaches. However, this still does not imply that this research has a large impact on practice and that state-of-the art models and algorithms are widely in use in organisations. One can find a reasonably large number of software packages that aim to assist in personnel scheduling. A classification of this software based on its purpose will be proposed, accompanied with a discussion about the level of support that this software offers to schedulers. A general conclusion is that the available software, with some exceptions, does not benefit from the wealth of developed models and methods. The remaining of the paper will provide insights into some characteristics of real-world scheduling problems that, in the author’s opinion, have not been given a due attention in the personnel scheduling research community yet and which could contribute to the enhancement of the implementation of research results in practice. Concluding remarks are that in order to bridge the gap that still exists between research into personnel scheduling and practice, we need to engage more with schedulers in practice and also with software developers; one may say we need to get wet if we want to learn how to swim

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Frontal networks in adults with autism spectrum disorder.

It has been postulated that autism spectrum disorder is underpinned by an 'atypical connectivity' involving higher-order association brain regions. To test this hypothesis in a large cohort of adults with autism spectrum disorder we compared the white matter networks of 61 adult males with autism spectrum disorder and 61 neurotypical controls, using two complementary approaches to diffusion tensor magnetic resonance imaging. First, we applied tract-based spatial statistics, a 'whole brain' non-hypothesis driven method, to identify differences in white matter networks in adults with autism spectrum disorder. Following this we used a tract-specific analysis, based on tractography, to carry out a more detailed analysis of individual tracts identified by tract-based spatial statistics. Finally, within the autism spectrum disorder group, we studied the relationship between diffusion measures and autistic symptom severity. Tract-based spatial statistics revealed that autism spectrum disorder was associated with significantly reduced fractional anisotropy in regions that included frontal lobe pathways. Tractography analysis of these specific pathways showed increased mean and perpendicular diffusivity, and reduced number of streamlines in the anterior and long segments of the arcuate fasciculus, cingulum and uncinate--predominantly in the left hemisphere. Abnormalities were also evident in the anterior portions of the corpus callosum connecting left and right frontal lobes. The degree of microstructural alteration of the arcuate and uncinate fasciculi was associated with severity of symptoms in language and social reciprocity in childhood. Our results indicated that autism spectrum disorder is a developmental condition associated with abnormal connectivity of the frontal lobes. Furthermore our findings showed that male adults with autism spectrum disorder have regional differences in brain anatomy, which correlate with specific aspects of autistic symptoms. Overall these results suggest that autism spectrum disorder is a condition linked to aberrant developmental trajectories of the frontal networks that persist in adult life