Search

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.)

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.

The article presents titles and abstracts of papers submitted at a meeting held in Cambridge, Massachusetts in 1938. The paper "The Sequent Occupance of a Boston Suburban Community," presented by Edward A. Ackerman focuses on areas surrounding the Boston metropolitan district. The proximity of a large city market, plots of level land and fertile soil determine the existence of these suburban fanning communities. The article "The Recession of Victoria Falls," by Wallace W. Atwood. The world famous falls on the Zainbesi have had a strange and remarkable history in recession. The gorge is serpentine with many curious off-shoots, and located on the floor of a broad and much older flat-bottomed valley. Today the water tumbles over a ledge, fully a mile in length, and into a very narrow chasm 350 ft. deep.

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]

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.

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.

Introduces a series of articles on the philosophy of science, presented at the 1998 World Congress of Philosophy in Boston, Massachusetts.

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]

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]

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]

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.

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]

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]

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 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]

This research paper presents the results of two studies investigating human mobility patterns in the 15 largest Metropolitan Statistical Areas (MSAs) in the United States. It studied 14 daily mobility parameters aggregated at the MSA level, derived from four primary mobility parameters: Number of Visited Locations (N_LOC), Number of Unique Visited Locations (N_ULOC), Radius of Gyration (R_GYR), and Distance Traveled (D_TRAV) over a 30-day period. The first study was conducted on data from two large MSAs, one coastal and one inland (Boston and Atlanta, respectively). The aim was to examine associations between daily values of mobility parameters aggregated at the MSA level and identify those carrying similar or identical information. Results of factor analysis showed that these could be adequately described by two independent factors, pointing to one or two of the mobility parameters as sufficient to represent the whole set in analyses based on associations. These could either be D_TRAV, as it had high loadings on both factors, or N_LOC and R_GYR due to their high loadings on the two extracted factors. The second study was conducted on daily mobility datasets from the 15 MSAs. The aim was to compare daily mobility patterns of these MSAs and group them based on their mobility pattern similarities. Factor analysis of the aggregated mean daily distances (D_TRAV) across different MSAs over the studied period classified them into two distinct groups: one predominantly composed of inland MSAs and the other primarily of coastal MSAs. Strong weekly cycle trends emerged in these groups. Specifically, individuals from the inland MSA group tended to travel the furthest on Fridays and the least on Sundays, whereas those from the coastal MSA group traveled the most on Saturdays and the least on Mondays. This weekly pattern was robust, with 7-day lag autocorrelations of mean daily parameter values ranging between 0.81 to 0.99, excluding the mean daily N_LOC. These findings offer a foundational understanding of MSA mobility patterns, paving the way for more detailed studies on the nuances of these patterns. [ABSTRACT FROM AUTHOR]

The article presents information on the psychology of newspapers along with an exhaustive study of the treatment, which Boston newspapers accorded to revision of the Neutrality Act that gripped the attention of the U.S. in the fall of 1939. This investigation is based upon a complete sample of weekday and Sunday editions of English-language newspapers published in Boston, Massachusetts. The extent to which this simplification of the story took place in the Boston papers was estimated as carefully as possible. The evidence indicates that editors and newswriters attempt to give as comprehensive and adequate a representation of events as they dare; while the readers insist upon selecting, sharpening, and pointing the issue still further to suit their desire for simplification and definiteness. Newspapers must dramatize and select in order to produce in their readers the emotional integration required for a good fight. A newspaper's pattern of influence is built around its editorial policy. Most papers do to a certain extent select news items favoring the editorial policy of the paper, and reject those that are opposed. In summary, the evidence reported in this study is interpreted as supporting five generalizations which are offered here as tentative laws in the new field of the psychology of newspapers: (1) issues are skeletonized; (2) any given newspaper's field of influence is well-patterned; (3) readers are more emotional than editors; (4)public interest as reflected in newspapers is variable in time; (5) public interest rapidly fatigues and presses for an early closure.

This paper addresses the challenge of optimizing objective functions in engineering problems influenced by multiple environmental factors, such as temperature and humidity. Traditional modeling approaches often struggle to capture the complexities of non-ideal situations. In this research, we propose a novel approach called the Environment Parameter Fixed Algorithm (EPFA) for optimizing the objective function of a deep neural network (DNN) trained in a specific environment. By fixing the environmental parameters in the DNN defined objective function, we transform the original optimization problem into a control parameter optimization problem. We integrate EPFA-CLS (Controllable local-Optimal Solution) with Gradient Descent and algorithms such as Adagrad to obtain the optimal solution. To demonstrate the concept, we apply our approach to an optimal course model and validate it using optimal course and Boston house price datasets. The results demonstrate the effectiveness of our approach in handling optimization problems in complex environments, offering promising outcomes for practical engineering applications. [ABSTRACT FROM AUTHOR]

Spatial regression models have recently received a lot of attention in a variety of fields to address the spatial autocorrelation effect. One important class of spatial models is the Conditional Autoregressive (CA). Theses models have been widely used to analyze spatial data in various areas, as geography, epidemiology, disease surveillance, civilian planning, mapping of poorness signals and others. In this article, we propose the Liu-type pretest, shrinkage and positive shrinkages estimators for the large-scale effect parameter vector of the CA regression model. The set of the proposed estimators are evaluated analytically via their asymptotic bias, quadratic bias, the asymptotic quadratic risks, and numerically via their relative mean squared errors. Our results demonstrate that the proposed estimators are more efficient than Liu-type estimator. To conclude this paper, we apply the proposed estimators to the Boston housing prices data, and applied a bootstrapping technique to evaluate the estimators based on their mean squared prediction error. [ABSTRACT FROM AUTHOR]

This paper aims to contribute to research and policy that supports Latino children in early education regarding their transition into the school system and their bilingual development. It presents the results of a one-year longitudinal ethnographic study of four Latino children starting school at a transitional bilingual kindergarten in the Boston area. The analysis identifies dynamics and trends at the micro and meso levels that show that Spanish use and development in Latino children cannot be fully understood and supported if we consider it an individual ability instead of an organic and intrinsic component of broader dynamic socialization, emotional, and academic processes (such as the transition to school) of which English is also a part and in which parents and teachers participate. Recommendations for designing and implementing comprehensive programs to engage Latino families and educators to support transitions, bilingual development, and academic performance in young Latino children are presented. [ABSTRACT FROM AUTHOR]

Ventriculo-ureteral (VU) shunting is a little-known method of managing hydrocephalus. This paper reviews contemporary uses of this shunting technique and describes its historical significance to the field of organ transplantation. The ureter may serve as a possible backup, or alternative, distal drainage site compared to the more common peritoneum, atrium, and pleural space. Sporadic contemporary uses of the VU shunt have been reported in unique situations, demonstrating a possible utility in modern neurosurgery. Interestingly, the VU shunt played an important role in the development of kidney transplantation. In the late 1940s and early 1950s, David Hume, a general surgery resident, and colleagues at the PBBH undertook a series of human kidney transplantations. Concurrently, Donald Matson, a pediatric neurosurgeon at Peter Bent Brigham, was utilizing the VU shunt in hydrocephalic patients. Dr. Matson's VU shunt technique involved total nephrectomy, and some of the kidneys harvested from Dr. Matson's were used by his general surgery colleagues in their transplantation trials. Although none of the transplanted kidneys from this series were successful, the transplant team in Boston, minus David Hume, went on to perform the world's first kidney transplant a few years later. This relatively unfamiliar procedure may be applicable to specific situations, and it is of historical importance to the field of transplantation. [ABSTRACT FROM AUTHOR]

Religion and food culture are two closely related topics in the Christian discourse and have been the subject of extensive anthropological research. This paper takes the Boston Chinese Catholics as a case study, and it adopts an ethnographic research methodology to explore the ways in which the sense of belonging develops in the Church community, based on the analysis of food culture in this context. Chinese Catholics in Boston are mainly Fujian and Hong Kong immigrants, and the class, status, and economic differences between these two communities are well apparent. The Boston Chinese Catholic Church divides food into sacred and secular. During religious rituals, all Catholics share the sacred food, the Holy Body and the Holy Blood, which symbolize the unity of the Catholic Church. In everyday life, Fujian Catholic and Hong Kong Catholic community members follow the dietary habits of their community to maintain a division between each community's traditions. Over the years, the Boston Chinese Catholic Church has developed a flexible strategy—externally consistent and internally differentiated—to maintain the unity of the Church while embracing the cultural differences of its members. This flexible strategy has also influenced the way in which the Boston Chinese Catholic Church operates. This study indicates that we need to place more emphasis on the diversity and complexity of the members of the overseas Chinese Catholic Church and the specificities of the Catholic religion's discourse so that we can better understand the overall practices and methods of overseas Chinese Catholicism. This study is a catalyst for the study of overseas Chinese Catholicism, as well as the study of food culture, religion, community, and identity in that context. [ABSTRACT FROM AUTHOR]

The 19th century brought on much economic growth and advancement in accounting in the United States. The teaching of accounting began to veer away from rules and instead sought the logical underpinnings of the system. It was a time when accounting evolved into accountancy through the development of theory, such as the proprietary theory and the theory of two-account series. The Townsend Journal (1840–1841), which chronicles the joint venture between two young men in the Boston maritime trade, is a case study of this progression in commerce and accounting during this pivotal time. B. F. Foster's contemporaneous Boston publications on bookkeeping provide the framework to understand this evolution in accountancy, as well as the recordings in the Townsend Journal. Through the examination of the Townsend Journal alongside B. F. Foster's texts, this paper preserves and illustrates a historical link in the evolution of the field. [ABSTRACT FROM AUTHOR]

Children experience and grapple with the ongoing effects of climate change in their daily lives. While they did not cause climate change nor should they have to solve it, children deserve educational opportunities to understand why and how it occurs as they prepare to address it. In this Methods and Strategies article, we share how children engaged in place-based art, science, and literacy activities designed to support them in further cultivating relationships with their ecological community and to communicate their findings with other children engaging in the same process across the three coastal communities of Boston, Toronto, and San Diego. Specifically, we highlight how crafting representations of their noticings and wonderings from family walks in their ecological communities supported children to analyze the interactions within ecosystems and express concern and care for the natural world as they engaged in the science practice of asking questions. We share how elementary teachers can support children in cultivating relationships with their local community as they make observations and ask questions to understand how climate change impacts their ecological communities. [ABSTRACT FROM AUTHOR]

The article presents objectives of the symposium on tautomers and biology, which is going to be held in Boston, Massachusetts in August 2010. Tautomerism modifies the structure activity relationship of enzyme and substrate and affects enzyme mechanism. Various aspects of tautomerism including calculations of tautomeric equilibrium constant and its use in molecular docking would be discussed at the symposia.

This study analyses the relational dimension and the knowledge transfer mechanisms in an innovation ecosystems (IEs), assuming that the bottom-up creation of synergies and cooperative mechanisms between local actors are the drivers of a regional smart growth. More specifically, the study explores the configuration of the network structure and the variety of inter-organizational relationships in a case of a smart IE by capturing the heterogeneous nature of IE demography, whether most studies limit their analyses to inter-firm relationships and at the node-level. Secondly, the paper provides insights into the network portfolio composition, which has been underexplored in IE literature, allowing for the identification of those relationships considered more fruitful to enhance innovation processes from a local perspective. To capture both aspects of IE's relational dimension (i.e. network structure and network portfolio of relationships) our paper adopts an explorative approach, by taking evidence from the empirical study of the biopharma IE in greater Boston area, which has been exemplified as a successful case. Our empirical study combines two methods, namely social network analysis and expert interviews. Firstly, we conduct a social network analysis to gain insights about the optimal network structure and secondly, we conduct a round of semi-structured interviews with key stakeholders in the ecosystem to explore the characteristics of the desirable network portfolio. Our findings show that a smart IE presents an open network structure with structural holes, a high level of modularity and a portfolio of relationships that privileges informal and non-redundant ties within small communities focused on specific themes. [ABSTRACT FROM AUTHOR]

First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping early-career researchers promote themselves alongside their papers. Conor Herlihy is first author on 'Suv420 enrichment at the centromere limits Aurora B localization and function', published in JCS. Conor is a Postdoc in the lab of Dr Ting Wu at Harvard Medical School, Boston, MA, where he is interested in understanding how the genome organizes and regulates itself in order to enable normal development and prevent the onset of diseases such as cancer. [ABSTRACT FROM AUTHOR]

Background: Process evaluation can illuminate barriers and facilitators to intervention implementation as well as the drivers of intervention outcomes. However, few obesity intervention studies have documented process evaluation methods and results. Community-based participatory research (CBPR) requires that process evaluation methods be developed to (a) prioritize community members' power to adapt the program to local needs over strict adherence to intervention protocols, (b) share process evaluation data with implementers to maximize benefit to participants, and (c) ensure partner organizations are not overburdened. Co-designed with low-income parents using CBPR, Communities for Healthy Living (CHL) is a family-centered intervention implemented within Head Start to prevent childhood obesity and promote family well-being. We are currently undertaking a randomized controlled trial to test the effectiveness of CHL in 23 Head Start centers in the greater Boston area. In this protocol paper, we outline an embedded process evaluation designed to monitor intervention adherence and adaptation, support ongoing quality improvement, and examine contextual factors that may moderate intervention implementation and/or effectiveness.Methods: This mixed methods process evaluation was developed using the Pérez et al. framework for evaluating adaptive interventions and is reported following guidelines outlined by Grant et al. Trained research assistants will conduct structured observations of intervention sessions. Intervention facilitators and recipients, along with Head Start staff, will complete surveys and semi-structured interviews. De-identified data for all eligible children and families will be extracted from Head Start administrative records. Qualitative data will be analyzed thematically. Quantitative and qualitative data will be integrated using triangulation methods to assess intervention adherence, monitor adaptations, and identify moderators of intervention implementation and effectiveness.Discussion: A diverse set of quantitative and qualitative data sources are employed to fully characterize CHL implementation. Simultaneously, CHL's process evaluation will provide a case study on strategies to address the challenges of process evaluation for CBPR interventions. Results from this process evaluation will help to explain variation in intervention implementation and outcomes across Head Start programs, support CHL sustainability and future scale-up, and provide guidance for future complex interventions developed using CBPR.Trial Registration: ClinicalTrials.gov, NCT03334669 . Registered on October 10, 2017. [ABSTRACT FROM AUTHOR]

In this article, two papers, previously published in A Theological Odyssey. My Life in Writing (2014a), both based on Christianity, Art and Transformation (2001), are conflated. The first is a paper on "Christianity and Transformation" presented at a symposium on "Christianity and the Arts" at Andover - Newton Theological Seminary, Boston, 26 October, 1999. The second is a paper on "Art, Culture and Transformation" presented at the Conference on Arts and Reconciliation in Civil Society, University of Pretoria, 14-20 March 2005. [ABSTRACT FROM AUTHOR]

In this study, the aim is to help uncover some facts about who the Twitter users really are. To this purpose, geotagged twitter data from the city of Boston together with socio-economic data were used. In the first step, tweets in each census block were counted and using the Getis-Ord Gi* index the hotspots and coldspots of tweet locations were extracted. Then, a multiple linear regression was employed, having the number of tweets as the response variable and the population data, age, education, occupation and income as the explanatory variables. Hence, more insight into the relationship between the number of tweets and some socio-economic factors is obtained. Results show that the central parts of Boston are the hotspot and the southern areas are the coldspot locations with regard to tweet numbers. The regression results imply that the number of tweets shared by users in an area is related to the income, the number of people having a university degree and the number of people having each type of job in that spatial unit. The results achieved in this paper could lead to a better vision and understanding in analyzing the tweeter users' behavior in any area of research and application. [ABSTRACT FROM AUTHOR]

The author discusses the special issue of the periodical "IEEE Transactions on Microwave Theory and Techniques" which focuses on papers presented in the 2009 Radio Frequency Integrated Circuits (RFIC) Symposium held in Boston, Massachusetts in June. She reports that the acceptance rate for the papers submitted was high due to the good quality of the revised manuscripts. She explains how the reviewers for the special issue were selected.

Heteroscedasticity is often encountered in spatial-data analysis, so a new class of heterogeneous spatial autoregressive models is introduced in this paper, where the variance parameters are allowed to depend on some explanatory variables. Here, we are interested in the problem of parameter estimation and the variable selection for both the mean and variance models. Then, a unified procedure via double-penalized quasi-maximum likelihood is proposed, to simultaneously select important variables. Under certain regular conditions, the consistency and oracle property of the resulting estimators are established. Finally, both simulation studies and a real data analysis of the Boston housing data are carried to illustrate the developed methodology. [ABSTRACT FROM AUTHOR]

Questions the historical and biographical significance of the papers Martin Luther King, Jr., wrote as a divinity student at Crozer Theological Seminary and as a doctoral student at Boston University. Instances of plagiarism; Martin Luther King, Jr., Papers Projects; Evidence of King's effort to construct an identity as a theologian and preacher; Desire to stress social and political implications of theological training.

High-dimensional feature selection is of particular interest to researchers. In some domains, such as microarray data, it is quite common for a group of highly correlated explanatory variables to be of equal importance for inclusion in the predictive model. This paper proposes a new hybrid feature selection approach that integrates feature screening based on Kendall's tau and Elastic Net regularized regression (K -EN). K -EN as an approach that embeds the Elastic Net, has the advantage of the grouping effect, which automatically includes all the highly correlated variables in the group. The K -EN approach offers insightful solutions to high-dimensional regression problems and improves Elastic Net performance since the screening phase is preceded by a step that further reduces the number of explanatory variables by removing those that disagree with the target based on Kendall's tau. The use of Kendall's tau further enhances Elastic Net performance, as it is robust enough to handle heavy-tailed distributions, non-parametric models, outliers, and non-normal data with greater ease. K -EN is therefore a time-saving approach. The proposed algorithm is evaluated on four simulation scenarios and four publicly available datasets, including riboflavin, eyedata, Longley, and Boston Housing, and achieves 0.2528, 0.0098, 0.1007, and 0.4121 respectively as the Mean Squared Error (MSE). K -EN's MSEs are the best compared to those achieved by the state-of-the-art approaches reviewed in this paper. In addition, K -EN selects up to 100% of relevant features when run on simulated data. [ABSTRACT FROM AUTHOR]