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Copyright of Journal of the American Institute for Conservation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Bisphenol A (BPA) is widely used as a color developer in thermal paper. Thermal paper is ubiquitous in daily life due to its use in cash register receipts, so opportunities for human contact abound. For this study, 10 blank cash register receipts were obtained from businesses in suburban Boston. BPA was extracted and analysis of concentration was performed using gas chromatograph/flame ionization detector. In some receipts, BPA was not detected but in others it was as high as 19 mg for a 12-inch long receipt, which is in line with concentrations indicated in patents. This study is intended to highlight the potential for human exposure to BPA as well as the ease with which exposure may be reduced through the use of BPA-free thermal paper. [ABSTRACT FROM AUTHOR]

Reviews the efforts of the Martin Luther King Jr., Papers Project to prepare a definitive, multivolume edition of King's papers as part of a long-term effort to preserve the historical legacy of the African-American freedom struggle. The initial two volumes of `The Papers of Martin Luther King, Jr.'; Historical and intellectual context in which King's Crozer and Boston University academic papers were created; Selective use of appropriated passages; Citation and attribution practices; Details.

Background: Digital neuropsychological tests reliably capture real-time, process-based behavior that traditional paper/pencil tests cannot detect, enabling earlier detection of neurodegenerative illness. We assessed relations between informant-based subtle and mild functional decline and process-based features extracted from the digital Trail Making Test-Part B (dTMT-B). Methods: A total of 321 community-dwelling participants (56.0% female) were assessed with the Functional Activities Questionnaire (FAQ) and the dTMT-B. Three FAQ groups were constructed: FAQ = 0 (unimpaired); FAQ = 1-4 (subtle impairment); FAQ = 5-8 (mild impairment). Results: Compared to the FAQ-unimpaired group, other groups required longer pauses inside target circles (p < 0.050) and produced more total pen strokes to complete the test (p < 0.016). FAQ-subtle participants required more time to complete the entire test (p < 0.002) and drew individual lines connecting successive target circles slower (p < 0.001) than FAQ-unimpaired participants. Lines connecting successive circle targets were less straight among FAQ-mild, compared to FAQ-unimpaired participants (p < 0.044). Using stepwise nominal regression (reference group = FAQ-unimpaired), pauses inside target circles classified other participants into their respective groups (p < 0.015, respectively). Factor analysis using six dTMT-B variables (oblique rotation) yielded a two-factor solution related to impaired motor/cognitive operations (48.96% variance explained) and faster more efficient motor/cognitive operations (28.88% variance explained). Conclusion: Digital assessment technology elegantly quantifies occult, nuanced behavior not previously appreciated, operationally defines critical underlying neurocognitive constructs related to functional abilities, and yields selected process-based scores that outperform traditional paper/pencil test scores for participant classification. When brought to scale, the dTMT-B test could be a sensitive tool to detect subtle-to-mild functional deficits in emergent neurodegenerative illnesses. [ABSTRACT FROM AUTHOR]

This paper explores the relationship between territory and urban space, discussing the joint development processes of urban and territorial morphologies. The paper argues that territorial structure is a precursor to urban design. It also discusses how landscape architecture can respond to the morphological needs of contemporary urban design as the boundaries between city and territory merge. The introduction and framework review section examines various approaches to studying the relationship between urban morphology and interstitial spaces or unbuilt geographies, which are often still considered empty spaces, physically incorporated but excluded from urban design. It also briefly discusses the role that green spaces and territorial morphologies have played, or not played, in defining urban form from antiquity to modernity. The paper then focuses on the role of hydromorphologies in shaping the urban form of Rome, Boston and Bari. These cities are analyzed as case studies to discuss 20th-century approaches to urban planning in relation to territorial layout. Finally, this study analyzes a marginal area of the metropolitan city of Bari in order to propose possible landscape morphologies of reconnection for the resulting interstitial areas. [ABSTRACT FROM AUTHOR]

Science and technology and skills have increasingly become the driving force to lead the development of knowledge economy. With the changes in the demand for knowledge workers and the location of enterprises, a new type of innovation space—innovation districts—has emerged. Countries have begun to identify and nurture innovation districts. Therefore, how to accurately identify innovation districts in cities has become an important research topic. The existing research on identifying innovation districts is mainly based on a qualitative description method at the element level. However, whether there are other potential innovation districts in urban space can be identified by quantitative identification. Therefore, the purpose of this paper is to establish an innovation district identification framework and a case study of the framework. The identification framework includes spatial identification and factor identification. In spatial identification, the identification index system is constructed based on the spatial location, range limit, and the surrounding area of innovative assets. In factor identification, the identification index system is constructed based on innovative assets, physical assets, and network assets, and Kendall Square and Boston innovation districts are used as the reference basis to determine whether the identified districts meet the standards of the constructed innovation districts. In empirical case research, spatial identification identified the Gaoxin South District (GXSD) spatial range. In factor identification, it was found that GXSD does not fully meet the standard of innovation district identification. This paper argues that the framework is essential for urban managers, planners, and urban designers to identify and evaluate high-quality innovation districts. [ABSTRACT FROM AUTHOR]

This article presents news briefs related to economics societies as of November 2005. The Annual Meeting of the American Economic Association will be held in Boston, Massachusetts from January 6 to 8, 2006. The Risk Theory Society is calling for papers to be presented at its annual Risk Theory Society Seminar to be held from April 21 to 23, 2006. Also calling for papers is the "Journal of Family and Economic Issues" for its special issue on consumer finances. The American Council of Learned Societies announces its Digital Innovation Fellowship program.

This paper examines the affective and temporal dimensions of hope's use in the non‐profit spaces of poverty governance. Drawing on 14 months of qualitative fieldwork at financial coaching programmes in Boston, Massachusetts, this paper explores how financial coaches understand the function of hope in their work with low‐ and moderate‐income clients. By tracing how financial coaches use hope to encourage clients to participate in and build allegiance to the contemporary economy, this paper argues that hope is foundational to how contemporary poverty alleviation programmes, of which financial coaching is indicative, depoliticise clients' lived experiences of impoverishment. Amid a resurgence of interest in the geographies of hope, the significance of this inquiry lies in its ability to offer an alternate reading of the seemingly benevolent, positive, or radical uses of hope by conceptualising hope as a placating force that cements existing economic arrangements and forecloses alternative political imaginaries. The inquiry undertaken in this paper, then, has implications not only for our understanding of the persistence of poverty, but also indicates the role of non‐profit organisations in the production and ongoing maintenance of broader systems of capitalist exploitation. This paper examines the affective and temporal dimensions of hope's use in the non‐profit spaces of poverty governance. Drawing on 14 months of qualitative fieldwork at financial coaching programmes in Boston, Massachusetts, this paper explores how financial coaches understand the function of hope in their work with low and moderate‐income clients. This paper argues that hope is foundational to how contemporary poverty alleviation programmes, of which financial coaching is indicative, depoliticise clients' lived experiences of impoverishment. [ABSTRACT FROM AUTHOR]

Port operators and liner shipping companies attempt to gain cost and competitive advantages by providing services in complementary maritime-related areas. In line with this purpose, companies undertake a task known as Global Terminal Operator (GTO). Substantially, there are more than 21 GTOs of various sizes involved in container terminal operations worldwide, handling 80% of the total containerized cargo traffic. In recent years, there have been drastic changes in the GTO market with numerous mergers, acquisitions, and concessions. However, academic and sectoral studies have fallen short of keeping up with these changes. To fill the gap in research, a dynamic portfolio analysis has been carried out within the scope of this novel study for the first time for the GTOs with the help of BCG Matrix analyses. Findings reveal that GTOs followed different development paths with respect to their distinctive characteristics. Major operators maintained their market dominance, unlike the minors who followed an unsteady path of development. This paper contributes to the academic literature by conducting a comprehensive market analysis for the GTO sector and revealing the dynamic development courses as well as strategic competitive positions of the operators from a managerial perspective toward shaping future strategic plans of the industry stakeholders. [ABSTRACT FROM AUTHOR]

Responding to the polarized view of artists either being displaced or co-opted in urban regeneration, this paper unveils a middle ground in which artists also act as partners or co-producers in these processes. We illustrate this intermediary role in property development processes with reference to a case study of the Seaport Innovation District in Boston by drawing upon a survey of resident artists and interviews with artists, planners, architects and economic development specialists. The paper makes two contributions to the literature. It offers a fresh look at the dialectical relationship between cultural and economic modes of production by more fully integrating consideration of artists’ sensibilities and practice with those of a host of built environment disciplinary practices including architects, planners and real estate developers. As a result, it extends extant analysis of urban regeneration-led gentrification from its urban planning, geography and sociology disciplinary roots into the disciplines of architecture and real estate. Our findings lead onto a research agenda centered on consideration of the intermediary roles played by creative and cultural sector actors and how creativity might be captured to positive effect, in the production of the built environment. [ABSTRACT FROM AUTHOR]

In this paper, we prove the compressible Euler limit from the Boltzmann equation with hard sphere collisional kernel and complete diffusive boundary condition in half-space by employing the Hilbert expansion which includes interior and Knudsen layers. This rigorously justifies the corresponding formal analysis in Sone's book [ Molecular gas dynamics , Birkhäuser Boston, Inc., Boston, MA, 2007] in the context of short time smooth solutions, and also generalizes the classic Caflisch's result [Comm. Pure Appl. Math. 33 (1980), pp. 651–666] to initial-boundary problem case. [ABSTRACT FROM AUTHOR]

This paper examines the context, precedents, contents, distribution, and socio-economic ramifications of deed restrictions in early-nineteenth century Boston, reviewing examples of restrictions' use and a comprehensive survey of the 1800–1839 deeds of five grantors. It shows how Boston's government and then private land developers began using deed restrictions in regards to building use, materials, height, and bulk in select geographies during this period. They did so to guarantee prestigious and stable home and work environments to wealthy consumers in the fast-changing urban context, in turn bringing into existence a prized and exclusive stratum of urban residential and commercial property. [ABSTRACT FROM AUTHOR]

Copyright of Tourism Geographies is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article presents the winner for the "The Journal of Experimental Biology" Outstanding Paper Prize, 2005. Ms. Havalee T. Henry from Richard Marsh's lab at Northeastern University in Boston bagged the first prize with her publication "Performance of guinea fowl Numida meleagris during dumping requires storage and release of elastic energy". Henry is an undergrad at the University of Connecticut, but has specialized in Molecular and Cell Biology, as well as having a great interest in muscle physiology.

By revisiting three empirical qualitative studies, the paper elaborates on conceptual and methodological issues pertaining to clarification of the use of the concept of politicization and "ordinary relationships to politics." The first study was conducted at the end of the 1990s on voluntary associations of young people of foreign descent in the French suburbs; the second was devoted to ordinary relationships to politics among young people in working-class neighborhoods in France; the third involves ongoing fieldwork examining non-profit organizations and their relationship to the state, focusing notably on evangelical non-profits in the Boston area of the USA. Although the research questions were different, they dealt with ordinary relationships to politics (ORP). This notion encompasses two dimensions. On the one hand, the idea that what determines one's relationship to politics is not only political, but also social: that we need to "embed" the study of relationships to politics into social dimensions. This is related to the study of the determination of relationships to politics. On the other hand, the idea that a relationship to politics is not only a relationship to the institutionalized political field, but that we need to adopt a broader definition of what politicization is, in order to grasp its ordinary forms, especially—but not only—when we deal with the working class. In this case, what is at stake is the definition of politicization. Nowadays, there is relative consensus in the literature regarding the determination of relationships to politics, but the definition of what politicization is remains much more controversial. In this paper, I present the terms of this controversy and the value in and limits of the various perspectives and, more specifically, I elaborate on how the changes in the type of fieldwork I conducted, in the national contexts, and the theoretical questions I asked impacted on the way I chose to define politicization. I suggest combining three definitions of politicization: (i) the legitimist or realist conception based on the relationship to the institutional political sphere; (ii) the conception of politicization as the identification of shared problems calling for collective solutions; and finally, (iii) approaching politicization as the readiness to be moved, to consider points of view other than those initially adopted. [ABSTRACT FROM AUTHOR]

The article previews the joint 2006 annual meetings of the Agriculture, Food, and Human Values Society and the Association for the Study of Food and Society that will be held on June 7 to 11, 2006 in Boston, Massachusetts. It includes information on the meetings' theme, issues that will be addressed at various meetings, sightseeing suggestions, papers scheduled for discussion and procedures in submitting them, and giving out of awards for best student papers.

Many semiparametric spatial autoregressive (SSAR) models have been used to analyze spatial data in a variety of applications; however, it is a common phenomenon that heteroscedasticity often occurs in spatial data analysis. Therefore, when considering SSAR models in this paper, it is allowed that the variance parameters of the models can depend on the explanatory variable, and these are called heterogeneous semiparametric spatial autoregressive models. In order to estimate the model parameters, a Bayesian estimation method is proposed for heterogeneous SSAR models based on B-spline approximations of the nonparametric function. Then, we develop an efficient Markov chain Monte Carlo sampling algorithm on the basis of the Gibbs sampler and Metropolis–Hastings algorithm that can be used to generate posterior samples from posterior distributions and perform posterior inference. Finally, some simulation studies and real data analysis of Boston housing data have demonstrated the excellent performance of the proposed Bayesian method. [ABSTRACT FROM AUTHOR]

In this paper, it is aim to propose an instrumental variable rank estimation method for varying coefficient spatial autoregressive models. The newly proposed method provides a highly efficient and robust alternative to the existing quasi-maximum likelihood estimation or GMM estimation, and can be implemented using the existing R software package conveniently. Under mild conditions, the consistency and asymptotic normality of the resulting estimators are established. The finite sample properties of the proposed method are investigated through Monte Carlo simulation studies. Finally, the Boston house price data and crime data of Tokyo are analyzed to illustrate the usefulness of the proposed estimation method. [ABSTRACT FROM AUTHOR]

System In the volume's first contribution (in German), Neef focuses on comma placement in the contemporary German writing system. Programmatic considerations for an incorporation of punctuation into GFL teaching conclude the chapter; hope is they will resonate with the relevant communities and practitioners (also beyond the Germanophone world) as many of them can be generalized to teaching punctuation both to L2 and - arguably - L1 writers. Ström Herold & Levin analyze (in English) German, English, and Swedish non-fiction books from the 2000's - both originals and translations - in striving to rectify that punctuation (or the actual practices of using it) is usually but a footnote in translation studies. The main question, which is preliminarily answered through the analysis of comma usage in five term papers written by German L1 writers, is "whether prefields trigger non-standard commas at their right edge just because they are prefields" (p. 99). [Extracted from the article]

The field of Walkable Neighborhood Systems is about neighborhoods as systems of land use, mobility, and transportation pricing, and how they can be understood as dense areas delineated by attractive walking distances. To date, four papers have been published in this field: Neighborhood density and travel mode (Lewis in Int J Sustain Dev World Ecol, 2018. https://doi.org/10.1080/13504509.2017.1321052), Walkable Neighborhood Systems (Lewis and Adhikari), San Francisco's neighborhoods and auto dependency (Lewis and Grande in Cities, 2019. https://doi.org/10.1016/j.cities.2018.12.017), and the Mismeasurement of Mobility for Walkable Neighborhood Systems (Lewis et al., Mismeasurement of Mobility for Walkable Neighborhood Systems, Mineta Transportation Institute, 2020). This paper summarizes the concepts and definitions of the field and replicates for Boston the methodology used in the San Francisco case study. We found 54 Boston neighborhoods using maps in a GIS and guidelines to determine neighborhood boundaries based on walking distances and land use. We establish much higher accuracy than using census blocks. We analyze neighborhood density as our independent variable and three dependent variables: sustainable modes (mode split), food sources, and walk score. The data is presented in tables, correlations, and choropleth-based graphics. Density correlated strongly with the dependent variables. The paper concludes with ideas about how to improve the performance of Walkable Neighborhood Systems for affordability, sustainability, mobility, health and safety, design, and community. [ABSTRACT FROM AUTHOR]

A list of papers relating to Ming topics presented at the 51st annual meeting of the Association for Asian Studies (AAS) on March 11-14, 1999 in Boston, Massachusetts is presented, including "The Cultural Uses of the Ming Erotic Novella," by Richard G. Wang, "Lyric Complex in the Early Qing Scholar-Beauty Romance," by Chi Xiao, and "Audible and Visible Body in Ancient China," by Jane Geaney.

The article calls for papers for the 2006 Materials Research Society's 2006 Fall Meeting to be held from November 27 to December 1 in Boston, Massachusetts. Topics to be covered include: diamond electronics; structure, processing and properties of polymer nanofibers for emerging technologies; advanced electronic packaging; solid-state ionics; and thermodynamics and kinetics of phase transformations in inorganic materials.

Reports the scientific convention held at the Sheraton in Boston, Massachusetts. Effects of the sponsorship by Sun Myong Moon's Unification Church on the convention; Details on agenda's over religiosity and emphasized science in the meeting; Aims by Moon for the scientists.

This article introduces the special issue, "Community Archaeology of the African Diaspora." This collection of papers grew out of a session at the 2020 Society for Historical Archaeology conference in Boston, Massachusetts, with additional authors invited to add further geographical and methodological diversity. The papers in this issue address a single question—how are archaeologists currently involved with community archaeology projects related to the African Diaspora?—and reflects the wide array of approaches currently being implemented across the discipline. [ABSTRACT FROM AUTHOR]

The article discusses how student Neil Ganem from the Dana-Farber Cancer Institute in Boston, Massachusetts conducted his study aimed at dividing cancer cells successfully. Ganem used a microscope equipped with an incubator and watched thousands of cancer cells grow and divide. He then examined cells with multiple poles and follow the fate their daughter cells, which he said to get motion-sickness in the process. Ganem also investigated whether extra centrosomes contribute to cells' instability.

Questionnaire data from 137 panel chairs at the 2003 Academy of Criminal Justice Sciences meeting in Boston reveal respondent perceptions of the conference site, overall impressions of the conference, as well as panelist attendance, and the quality of information presented by panelists. The findings reveal high marks for the conference space, hotel rooms, and the city of Boston itself, resulting in an overall positive conference experience, but responses also highlight several areas of concern, including panelist attendance problems and presentation etiquette. Recommendations are provided, which may foster positive, incremental change at future ACJS annual meetings. [ABSTRACT FROM AUTHOR]

The Atlantic Coast of the United States is subjected to damage from wind and flooding as a result of coastal storms. This paper seeks to model the joint probability of exceedance for wind speed and flood elevation, two common measures of storm severity, using the storm data provided by the North Atlantic Coast Comprehensive Study. A case study is performed for Boston, Massachusetts. A copula is used to model the dependence between storm severity measures. The Gaussian copula and the Archimedean copulas (i.e., Gumbel, Clayton, and Frank) are examined in this paper. The correlation matrix used to construct the Gaussian copula is estimated empirically, and the parameters of the Archimedean copulas are estimated by a semi-parametric estimation method. The Gumbel copula, which is found to describe the dependence between the severity measures better than other copulas, is used to develop a copula-based joint probability model. The methodology presented in this paper is used to estimate joint hazard curves for wind speed and flood elevation for different mean recurrence intervals. The results can be used to define hazard scenarios in a multihazard study, estimate building performance under coastal storms, and assess community resilience. [ABSTRACT FROM AUTHOR]

With the widespread application of spatial data in fields like econometrics and geographic information science, the methods to enhance the robustness of spatial econometric model estimation and variable selection have become a central focus of research. In the context of the spatial error model (SEM), this paper introduces a variable selection method based on exponential square loss and the adaptive lasso penalty. Due to the non-convex and non-differentiable nature of this proposed method, convex programming is not applicable for its solution. We develop a block coordinate descent algorithm, decompose the exponential square component into the difference of two convex functions, and utilize the CCCP algorithm in combination with parabolic interpolation for optimizing problem-solving. Numerical simulations demonstrate that neglecting the spatial effects of error terms can lead to reduced accuracy in selecting zero coefficients in SEM. The proposed method demonstrates robustness even when noise is present in the observed values and when the spatial weights matrix is inaccurate. Finally, we apply the model to the Boston housing dataset. [ABSTRACT FROM AUTHOR]

In this paper, we consider variable selection for a class of semiparametric spatial autoregressive models based on exponential squared loss (ESL). Using the orthogonal projection technique, we propose a novel orthogonality-based variable selection procedure that enables simultaneous model selection and parameter estimation, and identifies the significance of spatial effects. Under appropriate conditions, we show that the proposed procedure is consistent and the resulting estimator has oracle properties. Furthermore, some simulation studies and an analysis of the Boston housing price data are also carried out to examine the finite-sample performance of the proposed method. [ABSTRACT FROM AUTHOR]

Extreme learning machine (ELM) has received increasingly more attention because of its high efficiency and ease of implementation. However, the existing ELM algorithms generally suffer from the drawbacks of noise sensitivity and poor robustness. Therefore, we combine the advantages of twin hyperplanes with the fast speed of ELM, and then introduce the characteristics of heteroscedastic Gaussian noise. In this paper, a new regressor is proposed, which is called twin extreme learning machine based on heteroskedastic Gaussian noise (TELM-HGN). In addition, the augmented Lagrange multiplier method is introduced to optimize and solve the presented model. Finally, a significant number of experiments were conducted on different data-sets including real wind-speed data, Boston housing price dataset and stock dataset. Experimental results show that the proposed algorithms not only inherits most of the merits of the original ELM, but also has more stable and reliable generalization performance and more accurate prediction results. These applications demonstrate the correctness and effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]

This paper explores a novel high-dimensional sparse multiplicative model, which deal with data with positive responses, particularly in economical and biomedical researches. The proposed regularized method is conducted on the least product relative error (LPRE), and can be applied on various penalties including adaptive Lasso, SCAD, and MCP. An adjusted ADMM algorithm is adopted to obtain the estimators based on LPRE loss. Additionally, we prove the consistency and compute the convergence rates of the estimator. To validate the effectiveness of the proposed method, we conduct extensive numerical studies and real data analysis, yielding valuable insights and practical applications, utilizing well-known datasets of the Boston housing data and gold price data. [ABSTRACT FROM AUTHOR]

Copyright of Architectural Journal / Jian Zhu Xue Bao is the property of Architectural Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the problem that fuzzy neural network (FNN) is difficult to be adjusted automatically its structure when there is no the threshold of loss function, as well as the problem that the neuron number of the regularization layer of FNN is adjusted by self-organizing algorithm when the structure of FNN is not stable yet, a structural design strategy of self-organizing recursive FNN based on the Boston matrix (SORFNN-BOSTON) is proposed. Compared with other self-organizing algorithms, the method used in this paper does not need to set the threshold of loss function. In addition to the indicators representing the importance of neurons in most self-organizing algorithms, the change rate is used to represent the change of the parameters of the neural network. The change rate is used to determine when the relevant parameters are stable, which further improves the reliability of the neuron adjustment process. Through the simulation of predicting Mackey-Glass time sequence, the final number of neurons in the hidden layer and the testing error are 6 and 0.110 respectively. Comparisons with other self-organizing algorithms show that the testing error decreased by 76.6% at most and 13.3% at least, which proves the practicability of the method. [ABSTRACT FROM AUTHOR]

Recently, the City of Boston implemented a mobile, cloud-based app. Originally called "Citizens Connect," but now called "Bos:311," the app allows citizens to report issues related to the city's infrastructure, e.g., graffiti. Rich information in the form of pictures and descriptions provided from mobile devices, along with GPS location information, facilitates crowdsourcing monitoring of the city's infrastructure. This app provides "straight through" processing of citizen requests, reengineering the processes of monitoring and fixing city infrastructure. As a result, operations and management accounting information can be more accurate and used in real time. In addition, the cloud-based capture of information from multiple cities allows comparisons and benchmarking of critical information that likely would not be possible in other settings, while allowing economic system use by large numbers of users. This paper investigates a number of hypotheses about the use of the mobile app generated from both Hirschman's and Hammer's theories. [ABSTRACT FROM AUTHOR]

The purpose of this article is to add to the collective body of knowledge on student behavior and attitudes relative to the adoption of digital textbooks. The article summarizes an ongoing research project that examines past, current and evolving behavior in the classroom related to digital textbooks and school. It includes students, faculty and administrative attitudes behaviors and perceptions. This research was undertaken at the Sawyer Business School of Suffolk University in Boston, Massachusetts. Student attitudes and behavior toward their use of digital textbooks (eTextbooks) in higher education was examined in an ongoing longitudinal study over two years at Sawyer Business School, Suffolk University. Students in the class were divided into six teams. Five of the teams were assigned an eTextbook device and the sixth team was given a paper textbook for use through the semester. The digital technologies examined were: Amazon Kindle, Sony eReader Touch, Apple iPad, enTourage eDGe, and CourseSmart. Student attitudes and behaviors were examined pre and post class by survey each semester, and during the semesters through quizzes, journals and classroom discussion. Differential learning was measured between the six teams. Student attitudes and behaviors are becoming more receptive to and accepting of using digital textbooks each year. There was no significant difference in learning between the eTextbook devices teams or between them and the paper textbook team. [ABSTRACT FROM AUTHOR]

The early decades of the pastoral care movement were characterized by a remarkable collaboration with psychiatry. While historians of the religious aspects of this movement have noted the reliance of pastoral care on psychiatry and psychology, it has been less clear how and why mental health professionals elected to work with clergy. This paper uses the Michigan Society of Pastoral Care (MSPC), one of the early training programs for hospital chaplains on the model of the Boston‐based Institute for Pastoral Care, as a window to explore the interactions between psychiatry and religion at mid century. Raymond Waggoner, the nationally recognized and well‐connected chair of the psychiatry department at the University of Michigan, was instrumental in expanding the influential pastoral care program at his hospital and in his state as part of his bigger mission of emphasizing the fundamental role of psychiatry in American life. Waggoner played a key role within the MSPC, in conjunction with leaders within the medical departments of the major hospitals in the state. All of the members of the MSPC viewed psychiatry's insights as essential for pastoral care, with the caveat that chaplains should remain pupils, not practitioners of psychotherapy. [ABSTRACT FROM AUTHOR]

This paper is concerned with the design of a context-based fuzzy C-means (CFCM)-based multi-granular fuzzy model (MGFM) with hierarchical tree structures. For this purpose, we propose three types of hierarchical tree structures (incremental, aggregated, and cascaded types) in the design of MGFM. In general, the conventional fuzzy inference system (FIS) has problems, such as time consumption and an exponential increase in the number of if–then rules when processing large-scale multivariate data. Meanwhile, the existing granular fuzzy model (GFM) reduces the number of rules that increase exponentially. However, the GFM not only has overlapping rules as the cluster centers become closer but also has problems that are difficult to interpret due to many input variables. To solve these problems, the CFCM-based MGFM can be designed as a smaller tree of interconnected GFMs. Here, the inputs of the high-level GFMs are taken from the output to the low-level GFMs. The hierarchical tree structure is more computationally efficient and easier to understand than a single GFM. Furthermore, since the output of the CFCM-based MGFM is a triangular fuzzy number, it is evaluated based on a performance measurement method suitable for the GFM. The prediction performance is analyzed from the automobile fuel consumption and Boston housing database to present the validity of the proposed approach. The experimental results demonstrate that the proposed CFCM-based MGFM based on the hierarchical tree structure creates a small number of meaningful rules and solves prediction-related problems by making them explainable. [ABSTRACT FROM AUTHOR]

In this paper, we present a new explainability formalism designed to shed light on how each input variable of a test set impacts the predictions of machine learning models. Hence, we propose a group explainability formalism for trained machine learning decision rules, based on their response to the variability of the input variables distribution. In order to emphasize the impact of each input variable, this formalism uses an information theory framework that quantifies the influence of all input–output observations based on entropic projections. This is thus the first unified and model agnostic formalism enabling data scientists to interpret the dependence between the input variables, their impact on the prediction errors and their influence on the output predictions. Convergence rates of the entropic projections are provided in the large sample case. Most importantly, we prove that computing an explanation in our framework has a low algorithmic complexity, making it scalable to real-life large datasets. We illustrate our strategy by explaining complex decision rules learned using XGBoost, Random Forest or Deep Neural Network classifiers on various datasets such as Adult Income , MNIST , CelebA , Boston Housing , Iris , as well as synthetic ones. We finally make clear its differences with the explainability strategies LIME and SHAP , which are based on single observations. Results can be reproduced using the freely distributed Python toolbox https://gems-ai.aniti.fr/. [ABSTRACT FROM AUTHOR]

Environmental data with a high spatio-temporal resolution is vital in informing actions toward tackling urban sustainability challenges. Yet, access to hyperlocal environmental data sources is limited due to the lack of monitoring infrastructure, consistent data quality, and data availability to the public. This paper reports environmental data (PM, NO2, temperature, and relative humidity) collected from 2020 to 2022 and calibrated in four deployments in three global cities. Each data collection campaign targeted a specific urban environmental problem related to air quality, such as tree diversity, community exposure disparities, and excess fossil fuel usage. Firstly, we introduce the mobile platform design and its deployment in Boston (US), NYC (US), and Beirut (Lebanon). Secondly, we present the data cleaning and validation process, for the air quality data. Lastly, we explain the data format and how hyperlocal environmental datasets can be used standalone and with other data to assist evidence-based decision-making. Our mobile environmental sensing datasets include cities of varying scales, aiming to address data scarcity in developing regions and support evidence-based environmental policymaking. Measurement(s) Particulate matter, gaseous pollutants Technology Type(s) Low-cost environmental sensing platform (City Scanner) Sample Characteristic - Environment City Sample Characteristic - Location Global [ABSTRACT FROM AUTHOR]

Bryophytes constitute a heterogeneous group of plants which includes three clades: approximately 14,000 species of mosses (Bryophyta), 6000 species of liverworts (Marchantiophyta), and 300 species of hornworts (Anthocerotophyta). They are common in almost all ecosystems, where they play important roles. Bryophytes lack developed physical barriers, yet they are rarely attacked by herbivores or pathogens. Instead, they have acquired the ability to produce a wide range of secondary metabolites with diverse functions, such as phytotoxic, antibacterial, antifungal, insect antifeedant, and molluscicidal activities. Secondary metabolites in bryophytes can also be involved in stress tolerance, i.e., in UV-absorptive and drought- and freezing-tolerant activities. Due to these properties, for centuries bryophytes have been used to combat health problems in many cultures on different continents. Currently, scientists are discovering new, unique compounds in bryophytes with potential for practical use, which, in the age of drug resistance, may be of considerable importance. The aim of this review is to present bryophytes as a potential source of compounds with miscellaneous possible uses, with a focus on volatile compounds and antibacterial, antifungal, and cytotoxic potential, and as sources of materials for further promising research. The paper also briefly refers to the methods of compound extraction and acquisition. Formulas of compounds were drawn by the authors using ChemDraw software (PerkinElmer, Boston, MA, USA) with reference to data published in various papers, the ACD/Labs dictionary database, PubChem, and Scopus. The data were gathered in February 2022. [ABSTRACT FROM AUTHOR]

Epilepsy is a chronic and recurrent brain dysfunction disease. An acute epileptic attack will interfere with a patient's normal behavior and consciousness, having a great impact on their life. The purpose of this study was to design a seizure prediction model to improve the quality of patients' lives and assist doctors in making diagnostic decisions. This paper presents a transformer-based seizure prediction model. Firstly, the time-frequency characteristics of electroencephalogram (EEG) signals were extracted by short-time Fourier transform (STFT). Secondly, a three transformer tower model was used to fuse and classify the features of the EEG signals. Finally, when combined with the attention mechanism of transformer networks, the EEG signal was processed as a whole, which solves the problem of length limitations in deep learning models. Experiments were conducted with a Children's Hospital Boston and the Massachusetts Institute of Technology database to evaluate the performance of the model. The experimental results show that, compared with previous EEG classification models, our model can enhance the ability to use time, frequency, and channel information from EEG signals to improve the accuracy of seizure prediction. [ABSTRACT FROM AUTHOR]

Terrestrial laser scanning has become more and more popular in recent years. The according planning of the standpoint network is a crucial issue influencing the overhead and the resulting point cloud. Fully static approaches are both cost and time extensive, whereas fully kinematic approaches cannot produce the same data quality. Stop-and-go scanning, which combines the strengths of both strategies, represents a good alternative solution. In the scanning process, the standpoint planning is by now mostly a manual process based on expert knowledge and relying on the surveyor's experience. This paper provides a method based on Mixed Integer Linear Programming (MILP) ensuring an optimal placement of scanner standpoints considering all scanner-related constraints (e.g. incidence angle), a full coverage of the scenery, a sufficient overlap for the subsequent registration and an optimal route planning solving a Traveling Salesperson Problem (TSP). This enables the fully automatic application of autonomous systems for providing a complete model while performing a stop-and-go laser scanning, e.g. with the Spot robot from Boston Dynamics. Our pre-computed solution, i.e. standpoints and trajectory, has been evaluated surveying a real-world environment using a 360° panoramic laser scanner and successfully compared with a precise LoD2 building model of the underlying scene. The performed ICP-based registration issued from our fully automatic pipeline turns out to be a very good and safe alternative of the otherwise laborious target-based registration. [ABSTRACT FROM AUTHOR]

This paper traces the centrality of the human face in the construction of modern individuality. It argues that the face of individuality no less than that of typology, is mired in and born of historical and political conditions that are subsequently disavowed in order that the individual (and the face she bears) is rendered a product of nature, an instantiation of the universal. Attempting to denaturalize and defamiliarize the authority invested in the face, this paper maps out three interrelated arguments: that the human face is historically produced; that its history is closely tethered to the production of modern subjectivity, and that its status as a purveyor of meaning relies upon the reiteration of preexisting norms through which it can be "read." And yet, while this paper turns to the nineteenth century to trace the novel privileging of the face as an extension of selfhood, interwoven through this history is the figure of the "effaced" Muslim woman and the Muslim terrorist type. [ABSTRACT FROM AUTHOR]

This paper serves as an introduction to the "Contested urban territories: decolonized perspectives" special issue. The idea for this issue emerged during our reflections on a socioterritorial perspective, preeminent in the current Latin American analysis of contemporary urban struggles (Schwarz and Streule, 2016). It aims to contribute to these ongoing debates about a specific understanding of urban territories from a postcolonial and decolonized perspective by combining contributions from two paper sessions we organized at the 2017 meeting of the American Association of Geographers in Boston with additional papers by scholars who could not participate in the conference. All seven contributions tackle the question of what a relational and dynamic conceptualization of territory may contribute to current debates in the urban studies field. Put more precisely, to which extent are socioterritorial approaches of value for a further decentering and pluralizing of urban theory? What is their significance to research on urban social movements? And, finally, how does such a socioterritorial perspective nurture and complement an analysis of the social production of space? The present special issue invites the reader to get familiar with new concepts and engage in a critical reflection on the conditions of knowledge production in urban geography and beyond. Kurzfassung: Dieser Artikel ist der Auftakt zum Themenheft "Contested urban territories: decolonized perspectives". Die Idee zu diesem Heft entstand in Auseinandersetzung mit einer sozioterritorialen Perspektive, welche zeitgenössische lateinamerikanische Analysen aktueller urbaner Kämpfe prägt (Schwarz und Streule, 2016). Mit dem Ziel, diese laufenden Debatten rund um ein spezifisches Verständnis von urbanen Territorien aus einer post- bzw. dekolonialen Perspektive weiterzuführen, versammeln wir im Themenheft Beiträge aus zwei Veranstaltungen auf der Jahrestagung der American Association of Geographers 2017 in Boston, und ergänzen diese mit weiteren Artikeln von Autorinnen und Autoren, die nicht an dieser Konferenz teilnehmen konnten. Die sieben Beiträge befassen sich mit der Frage, was eine relationale und dynamische Konzeptualisierung von Territorium zu aktuellen Debatten in der Stadtforschung beitragen kann. Genauer: Inwieweit sind sozioterritoriale Ansätze für die Dezentrierung und Pluralisierung von Stadttheorie von Nutzen? Welche Relevanz haben sie für eine Analyse städtischer sozialer Bewegungen? Wie nährt und ergänzt eine sozioterritoriale Perspektive nicht zuletzt eine Analyse der sozialen Produktion von Raum? Das Heft lädt somit ein, neue Begrifflichkeiten kennenzulernen und kritisch über Wissensproduktion nachzudenken – für die Stadtgeographie und darüber hinaus. [ABSTRACT FROM AUTHOR]

The Olympic Games are a major undertaking that promise both large costs and potentially large benefits to host cities. This paper lays out the potential economic benefits of hosting the Olympics and details how, in the vast majority of cases, these gains are unlikely to cover the costs of hosting the event. The ideas are then applied to the experience of Boston in its ultimately unsuccessful bid for the 2024 Summer Olympics. The ideas behind this paper were first presented at "Behind the Games: The Effect of the Olympics on Host Cities," UConn Law School, Hartford, CT, April 2019. [ABSTRACT FROM AUTHOR]

The first three children's museums in the world opened in Brooklyn, New York (1899), Boston, Massachusetts (1913), and Detroit, Michigan (1917). This paper examines the contributions of children's museum professionals to museum education through presentations at the American Association of Museums given by the curators of the first three children's museums – Anna Billings Gallup's (Brooklyn), Delia I. Griffin (Boston), and Gertrude A. Gillmore (Detroit). A review of the papers they delivered to their colleagues illustrates how their pioneering educational approaches – such as encouraging visitors to interact with objects and creating opportunities for children to become empowered and invested museum visitors – continue to shape the field. It also highlights the value of including a seat at the table for children's museum professionals in conversations about museum education. [ABSTRACT FROM AUTHOR]

This paper solves a question raised in the paper of Huong, Yao, and Yen [Optimal processes in a parametric optimal economic growth model. Taiwanese J Math. 2020. Available from: ] about optimal economic growth problems with production functions and utility functions being all in the form of AK functions. By using a solution existence theorem from the paper of Huong [Solution existence theorems for finite horizon optimal economic growth problems. Preprint arXiv:2001.03298v2. Submitted] and a maximum principle from the book of Vinter [Optimal control. Boston (MA): Birkhäuser; 2000], we prove that the problem in question has a unique solution and give a comprehensive synthesis of the optimal processes. Our results show that if the value of total factor productivity is enough high and the planning time is short, then expanding the production facility does not lead to a higher total consumption satisfaction of the society. Meanwhile, if the value of total factor productivity is enough high and the planning time is relatively long, then the highest total consumption satisfaction of the society is attained only if the largest expansion of the production facility is made until a special time. [ABSTRACT FROM AUTHOR]

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The urban radio‐frequency (RF) noise generated by our cities continues to change with time. Although models exist to describe the RF noise as functions of frequency and urban land use types, very few models describe the spatial character or structure of the noise on the scales of city blocks (50–150 m). The goal of this work is to investigate the connection between urban morphology and the higher‐order spatial statistics of the noise field. To achieve this goal, a large measurement campaign was conducted in Boston, Massachusetts. Many spatial measurements allowed for calculation of spatial correlation functions of noise power in three different neighborhoods, which were used to quantify the spatial structure of the fields. A statistical point source model is then developed, with adjustable parameters relating to urban morphology. Good agreement between the model and the experimental correlation functions suggests the 25 MHz urban noise field is well described by a random network of fixed point sources, radiating with a 1/r power law behavior. Plain Language Summary: Our modern cities are filled with electronic devices. Each device can emit radiation and contribute to what is called the urban radio‐frequency noise field. The noise field is the combined effect from all these devices. If the noise field is strong enough it can negatively impact wireless communication, and the use of other electric devices. It is important to better understand the nature of the noise field in order to mitigate and plan for its negative effects. This paper describes in detail how the noise field is distributed in space, or its spatial structure. A theoretical model or tool is developed to help predict how the noise field looks spatially. Key Points: Radio‐frequency noise spatial correlation functions were calculated for three different neighborhoods in Boston, MassachusettsGood theoretical agreement suggests the noise field is well described by a random network of point sources radiating with a 1/r behavior [ABSTRACT FROM AUTHOR]