Mathematical Method for Forecasting of Consumers' Purchasing Activity : Fundamental Study based on Kansei Engineering for Package Design to promote Consumers' Purchasing Activity (3)

It is reported that all items concerning a product, such as brand name, commercial, price, package design and others, which are described in Part 1, give a remarkable effect on forecasting of consumers' purchasing activitiy. Therefore, in case of forecasting of consumers' purchasing activity, it will be demanded to formulate forecasting problem, considering quantitatively the effects of these all items. This paper presents a probabilistic method to assess the purchasing activity of a new product which is designed by developer with some specified image level of selected items within all items, developing Bayes theory with the likelihood function obtained by the statistical analysis of the selling results of products or the questionnaire surveys. Besides, a probabilistic approach using fuzzy logic as a means to define numerically each image level of all items is formulated and discussed with numerical examples. It is hoped that such a tentative study will help to forecast consumers' purchasing activity for new product with some specified image level of selected items

Multicomponent chemistry in the synthesis of carbonic anhydrase inhibitors.

Carbonic anhydrase inhibitors (CAIs) are of growing interest since various isoforms of the enzyme are identified as promising drug targets for treatment of disease. The principal drawback of the clinically used CAIs is the lack of isoform selectivity, which may lead to observable side effects. Studies aiming at the design of isoform-selective CAIs entail generation and biological testing of arrays of compounds, which is a resource- and time-consuming process. Employment of multicomponent reactions is an efficient synthetic strategy in terms of gaining convenient and speedy access to a range of scaffolds with a high degree of molecular diversity. However, this powerful tool appears to be underutilized for the discovery of novel CAIs. A number of studies employing multicomponent reactions in CAI synthesis have been reported in literature. Some of these reports provide inspiring examples of successful use of multicomponent chemistry to construct novel potent and often isoform-selective inhibitors. On critical reading of several publications, however, it becomes apparent that for some chemical series designed as CAIs, the desired inhibitory properties are only assumed and never tested for. In these cases, the biological profile is reported based on the results of phenotypical cellular assays, with no correlation with the intended on-target activity. Present review aims at critically assessing the current literature on the multicomponent chemistry in the CAI design

Representational Account of Memory: Insights from Aging and Synesthesia

The representational account of memory envisages perception and memory to be on a continuum rather than in discretely divided brain systems [Bussey, T. J., & Saksida, L. M. Memory, perception, and the ventral visual-perirhinal-hippocampal stream: Thinking outside of the boxes. Hippocampus, 17, 898–908, 2007]. We tested this account using a novel between-group design with young grapheme-color synesthetes, older adults, and young controls. We investigated how the disparate sensory-perceptual abilities between these groups translated into associative memory performance for visual stimuli that do not induce synesthesia. ROI analyses of the entire ventral visual stream showed that associative retrieval (a pair-associate retrieved in the absence of a visual stimulus) yielded enhanced activity in young and older adults' visual regions relative to synesthetes, whereas associative recognition (deciding whether a visual stimulus was the correct pair-associate) was characterized by enhanced activity in synesthetes' visual regions relative to older adults. Whole-brain analyses at associative retrieval revealed an effect of age in early visual cortex, with older adults showing enhanced activity relative to synesthetes and young adults. At associative recognition, the group effect was reversed: Synesthetes showed significantly enhanced activity relative to young and older adults in early visual regions. The inverted group effects observed between retrieval and recognition indicate that reduced sensitivity in visual cortex (as in aging) comes with increased activity during top–down retrieval and decreased activity during bottom–up recognition, whereas enhanced sensitivity (as in synesthesia) shows the opposite pattern. Our results provide novel evidence for the direct contribution of perceptual mechanisms to visual associative memory based on the examples of synesthesia and aging

Design of Catalyst Interfaces for Heterogeneous Dihydrogen Production Manifolds and Incorporation into Photocathode Systems.

Engineering solar-powered catalyst systems for fuel production is of critical importance to the advancement of the global energy economy. Heterogeneous catalyst manifolds most promising for photocatalysis are those that boast versatile and cheap, stable components. Huisgen’s 1,3-dipolar cycloaddition (‘click’ chemistry) and π-stacking graphene adsorption systems provide a range of facile methods for electrode-surface modification and catalyst binding to build stable photocathode systems. Prior to this work, CoIII bis(benzenedithiolate) catalysts had been reported as active proton reduction catalysts in homogeneous phase. Due to the novelty of these complexes for use as proton reduction catalysts, no work prior to that reported in this thesis has attempted to heterogenize cobalt bis(dithiolene) catalysts and attach them to semiconductor surfaces. While several hydrogen production catalyst systems had been reported electrostatically adsorbed to graphitic supports, these studies lacked in-depth analysis of the ligand and graphitic support’s effects on catalyst adsorption, activity and retention on the surface. Previous studies have succeeded in functionalizing several semiconductor surfaces (such as silicon) with alkyne or azide groups; however, such modification of gallium-based 3,5-semiconductor systems containing an inherently strong driving force for proton reduction was previously unreported. Finally, previous literature examples of hydrogen production catalysts electrostatically adsorbed on graphene-coated semiconductors were relatively scarce, and were severely outweighed by work on covalent catalyst tethered systems. This work has for the first time heterogenized cobalt bis(dithiolene) complexes, a new class of H2 production catalysts, on graphitic supports and further attached the catalysts to the surface of GaP by means of the graphitic interface. These studies have provided insight into how the catalyst ligand structure and even the type of carbon in the interface can affect catalyst loading, activity and retention on the surface of the support. Initial studies of graphene- and Click-catalyst interfaces on gallium phosphide surfaces reported here represent some of the first examples of such interface development on these materials. These results push the edge of knowledge in solar-to-fuel conversion by expanding possibilities in the design of inexpensive, robust and easily modifiable photocathode systems with interchangeable catalyst and semiconductor components.PhDChemistryUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/120802/1/sceady_1.pd

Effects of Computer Simulation and Animation (CSA) on Students’ Problem Solving in Engineering Dynamics: What and How

The application of Computer Simulation and Animation (CSA) in the instruction of engineering dynamics has shown a significant growth in the recent years. The two foremost methods to evaluate the effectiveness of CSA tools, including student feedback and surveys and measuring student change in performance, suggest that CSA modules improve student learning in engineering dynamics. However, neither method fully demonstrates the quality of students’ cognitive changes. This study examined the quality of effects of application of CSA modules on student learning and problem solving in particle dynamics. It also compared CSA modules with textbook-style problem-solving regarding the changes they cause in students’ cognitive process. A qualitative methodology was adopted to design and implement a study to explore the changes in participants’ learning and problem-solving behavior caused by using a CSA module. Collected data were coded and analyzed using the categories of cognitive process based on the Revised Bloom’s Taxonomy. An analysis of the results revealed that the most significant effects were observed in understanding, analyzing, and evaluating. The high frequency of “inference” behavior after working with modules indicated a significant increase in participants’ understanding activity after working with computer modules. Comparing behavior changes of computer-simulation group students with those who worked with a textbook-style example demonstrated that the CSA modules ignited more analytical behavior among students than did textbook-style examples. This study illustrated that improvement in learning due to the application of CSA is not limited to conceptual understanding; CSA modules enhance students’ skills in applying, organizing, and evaluating as well. The interactive characteristics of CSA play a major role in stimulating students’ analytical reasoning and critical thinking in engineering dynamics

Varieties of Exploratory Experimentation in Nanotoxicology

There has been relatively little effort to provide a systematic overview of different forms of exploratory experimentation (EE). The present paper examines the growing subdiscipline of nanotoxicology and suggests that it illustrates at least four ways that researchers can engage in EE: searching for regularities; developing new techniques, simulation models, and instrumentation; collecting and analyzing large swaths of data using new experimental strategies (e.g., computer-based simulation and “high-throughput” instrumentation); and structuring an entire disciplinary field around exploratory research agendas. In order to distinguish these and other activities more effectively, the paper proposes a taxonomy that includes three dimensions along which types of EE vary: (1) the aim of the experimental activity, (2) the role of theory in the activity, and (3) the methods or strategies employed for varying experimental parameters

Test evaluation trials present different challenges for trial managers compared to Intervention trials

Introduction Test evaluation trials present different challenges for trial managers compared to intervention trials. There has been very little research on the management of test evaluation trials and how this impacts on trial success, in comparison with intervention trials. Evaluations of medical tests present specific challenges, because they are a pivot point bridging the complexities of pathways prompting testing with treatment decision-making. We systematically explored key differences in the trial design and management of test evaluation trials compared to intervention trials at the different stages of study design and delivery. We identified challenges in test evaluation trials that were more pronounced than in intervention trials, based on experience from 10 test evaluation trials. Methods We formed a focus group of 7 trial managers and a statistician who had been involved in the day-to-day management of both test evaluation trials and intervention trials. We used discussion and content analysis to group challenges from 10 trials into a structured thematic format. The trials covered a range of medical conditions, diagnostic tests, clinical pathways and conditions including chronic kidney disease, chronic pelvic pain, colitis, detrusor over-activity, group B streptococcal colonisation, tuberculosis and colorectal, lung, ovarian and thyroid cancers. Results We identified 10 common themes underlying challenges that are more pronounced in test evaluation compared to intervention trials. We illustrate these themes with examples from 10 trials, including with 31 specific challenges we experienced. The themes were ethics/governance; accessing patient populations; recruitment; patient preference; test processes, clinical pathways and samples storage; uncertainty of diagnostic results; verifying diagnosis (reference standard); follow-up; adverse effects; and diagnostic impact. Conclusion We present 10 common themes, including 31 challenges, in test evaluation trials that will be helpful to others designing and managing future test evaluation trials. Proactive identification of potential challenges at the design and planning stages of test evaluation trials will enable strategies to improve trial design and management that may be different from standard strategies used for intervention trials. Future work could extend this topic to include challenges for other trial stakeholders including participants, clinicians, statisticians and funders

Solved! Making the case for collaborative problem-solving

This report argues that the ability to solve problems with others is a crucial skill for our young people in the workplace of the future but the current education system does little to support it. Key findings Collaborative problem-solving (CPS) is an increasingly important skill to teach young people in order to prepare them for the future. Despite strong evidence for its impact, CPS is rarely taught in schools but if structured well it can reinforce knowledge and improve attainment. Significant barriers exist for teachers implementing this practice, from behaviour management to curriculum coverage, to task-design. For CPS to gain ground, a concerted shift is needed including teacher training, better resources and system level support. This report is part of Nesta’s ongoing commitment to equipping young people with the skills they need to succeed. It makes a series of recommendations on how organisations and policymakers can help support and embrace the implementation of CPS. Nesta is following this up with a series of small-scale pilots of aligned programmes in order to evaluate impact and explore how CPS can be implemented in a range of practical settings. Policy recommendations Stimulate production of quality collaborative problem-solving (CPS) resources and training, from primary education onwards. Fund existing, aligned programmes to scale and evaluate impact. Educate and involve the out-of-school learning sector and volunteer educators. Develop smarter collaborative problem-solving assessment methods. Help higher education organisations and MOOCs to track what works

Quantitative surface field analysis: learning causal models to predict ligand binding affinity and pose.

We introduce the QuanSA method for inducing physically meaningful field-based models of ligand binding pockets based on structure-activity data alone. The method is closely related to the QMOD approach, substituting a learned scoring field for a pocket constructed of molecular fragments. The problem of mutual ligand alignment is addressed in a general way, and optimal model parameters and ligand poses are identified through multiple-instance machine learning. We provide algorithmic details along with performance results on sixteen structure-activity data sets covering many pharmaceutically relevant targets. In particular, we show how models initially induced from small data sets can extrapolatively identify potent new ligands with novel underlying scaffolds with very high specificity. Further, we show that combining predictions from QuanSA models with those from physics-based simulation approaches is synergistic. QuanSA predictions yield binding affinities, explicit estimates of ligand strain, associated ligand pose families, and estimates of structural novelty and confidence. The method is applicable for fine-grained lead optimization as well as potent new lead identification