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The impacts of increased paper recycling on the U.S. pulp and paper sector are investigated, using the North American Pulp And Paper (NAPAP) model. This dynamic spatial equilibrium model forecasts the amount of pulp, paper and paperboard exchanged in a multi-region market, and the corresponding prices. The core of the model is a recursive price-endogenous linear programming system that simulates the behavior of a competitive industry. The model has been used to make forecasts of key variables describing the sector from 1986 to 2012, based on three recycling policy scenarios. Waste reduction policies that succeed in reducing demand for paper would have the greatest impact on the amount of wood used. But the minimum recycled content policies envisaged currently would have no more effect than what will come about due to unregulated market forces. [ABSTRACT FROM AUTHOR]

The author discusses the impact that John M. Virgo had on economists with the authored paper competition for undergraduate students in the U.S. The author mentions that the competition was discussed during the International Atlantic Economic Society (IAES) executive committee meeting with an aim to make the economics profession attractive to the students. He states that the competition offers a $500 award, along with commemorative plaques to the winner and the runners-up.

This study explores the prevalence of postdoctoral fellows in fast-moving and competitive scientific research. We use the results of a new and original large-scale survey of scientists in Japan and the United States for the analyses. Descriptive statistics show that, in both Japan and the United States: (1) the mean citation time lag was shorter by about 2 years in the highly cited papers (top 1 %) compared to other normal papers; and (2) the perceived degree of competitive threat was also higher for the projects producing the highly cited papers compared to those for normal papers. We also found that the likelihood of participation of postdoctoral fellows is significantly higher in research with shorter mean time lag and higher competitive threat (while that of students is not), controlling for author size, suggesting that postdoctoral fellows are especially prevalent in research efforts in fast-moving and competitive scientific research. [ABSTRACT FROM AUTHOR]

Conservation agriculture (CA) is a set of principles thought to be able to enhance crop productivity while minimizing impacts on the environment. The evidence base for CA can be challenging to synthesize because it encompasses many different practices and social and agroecological outcomes. To facilitate synthesis of CA evidence we have created a dataset organizing 218 response variables from five common categories of CA: cover crops, tillage management, pest management, nutrient management, and crop diversification. These data cover the Midwestern United States (U.S.) from 1980–2020. The dataset is also summarized and visualized on the AgEvidence website, which enables users to interactively explore, filter, and download data. We hope this dataset will help a wide variety of stakeholders, including researchers, policy makers, advocacy groups, and growers access the evidence needed to make informed and impactful decisions about how to produce food with less negative environmental impact. [ABSTRACT FROM AUTHOR]

Abstract. This paper identifies five factors that cluster belief about the importance of barriers to export held by executives in strategic business units involved in export of paper products or contemplating such export. These factors were evaluated in respect to the international business literature and labeled as national export policy, comparative marketing distance, lack of export commitment, exogenous economic constraints, and competitive rivalry. This analysis revealed a minor appreciation of the importance of competitive rivalry and a high appreciation of the barrier provided by exogenous economic constraints. The other three factors assumed intermediate positions of importance among the five factors. [ABSTRACT FROM AUTHOR]

The article discusses a paper by Robert Moffitt and Peter Gottschalk entitled "Trends in the Covariance Structure of Earnings in the U.S.: 1969-1987." According to Moffitt, their paper was econometrically sophisticated and was partly a methodological contribution. They use Panel Study of Income Dynamics (PSID) data for 1969-1987. They find that the increase in the variance of the logarithm of men's earnings over the period was due to increases in transitory variance and the permanent variance.

The global imbalance explanation of the financial crisis of 2007–09 suggests that demand for riskless assets from countries with current account surpluses created fragility in countries with current account deficits, most notably in the United States. This paper examines this explanation by analyzing the geography of asset-backed commercial paper (ABCP) conduits set up by large commercial banks. The paper shows that banks in surplus countries as well as banks in deficit countries manufactured riskless assets, totaling over $1.2 trillion, by selling short-term ABCP to risk-averse investors, predominantly U.S. money market funds, and investing the proceeds primarily in long-term U.S. assets. As negative information about U.S. assets became apparent in August 2007, banks in both surplus and deficit countries experienced difficulties in rolling over ABCP and as a result suffered significant losses. The paper concludes that global banking flows, rather than global imbalances, determined the geography of the financial crisis. [ABSTRACT FROM AUTHOR]

This study examines the research landscape of smart learning environments by conducting a comprehensive bibliometric analysis of the field over the years. The study focused on the research trends, scholar's productivity, and thematic focus of scientific publications in the field of smart learning environments. A total of 1081 data consisting of peer-reviewed articles were retrieved from the Scopus database. A bibliometric approach was applied to analyse the data for a comprehensive overview of the trend, thematic focus, and scientific production in the field of smart learning environments. The result from this bibliometric analysis indicates that the first paper on smart learning environments was published in 2002; implying the beginning of the field. Among other sources, "Computers & Education," "Smart Learning Environments," and "Computers in Human Behaviour" are the most relevant outlets publishing articles associated with smart learning environments. The work of Kinshuk et al., published in 2016, stands out as the most cited work among the analysed documents. The United States has the highest number of scientific productions and remained the most relevant country in the smart learning environment field. Besides, the results also showed names of prolific scholars and most relevant institutions in the field. Keywords such as "learning analytics," "adaptive learning," "personalized learning," "blockchain," and "deep learning" remain the trending keywords. Furthermore, thematic analysis shows that "digital storytelling" and its associated components such as "virtual reality," "critical thinking," and "serious games" are the emerging themes of the smart learning environments but need to be further developed to establish more ties with "smart learning". The study provides useful contribution to the field by clearly presenting a comprehensive overview and research hotspots, thematic focus, and future direction of the field. These findings can guide scholars, especially the young ones in field of smart learning environments in defining their research focus and what aspect of smart leaning can be explored. [ABSTRACT FROM AUTHOR]

This article focuses on the environmental responsibility of the U.S. publishing industry. The American Association of University Presses (AAUP) holds strongly to the tenet that the content of books and journals is uniquely valuable to the world. For years a number of university press representatives, notably Cornell University Press Design and Production Manager Deborah Bruner and University of California Press Design and Production Director Tony Crouch, have been educating the AAUP community about the ecological impacts of the business. Due in large part to such efforts, recycled-content paper use and other environmentally conscious practices has long been a goal, if not a reality, for many publishers. Higher prices (whether perceived or in reality) and limited choices have historically prevented these goals from being pursued. As of 2005, however, the Canadian group Markets Initiative (MI) has demonstrated a successful model for bringing ecologically friendly practices to book publishers. MI works on both ends--convincing paper manufacturers and printers to develop and stock new, better quality eco-papers, and bringing together enough publishers to create a critical level of demand. In 2002, Canada's industry initiative model was adopted in the U.S. by an organization called the Green Press Initiative.

Focuses on the concept of satellite settlements in relation to working environment in Steptoe City, Nevada. Characteristics of satellite settlements; Existence of neighborhoods in company towns; Role of marginal neighborhood on socioeconomic system.

Examines the willingness of residents to pay for recycled products in Fairfax County, Virginia. Contrast between self-interested behavior and altruistic behavior; Ability of the Schwartz model of altruism to explain willingness to pay recycled products; Conceptual dimensions within the Schwartz Norm Activation Model.

EU-US data transfers for health research remain a particularly thorny issue in view of the stringent rules of the EU General Data Protection Regulation (GDPR) and the challenges related to US mass surveillance programs, particularly the manner in which US law enforcement and national security agencies can access personal data originating from the EU. Since the entry into force of the GDPR, evidence of impeded collaborations is increasing, particularly in the case of sharing data with US public institutions. The adoption of a new EU-US adequacy decision in July 2023 does not hold the promise for a long-lasting solution due to the risks of being challenged and invalidated – yet again – at the Court of Justice of the EU. As the research community is calling for answers, the new proposal for a European Health Data Space regulation may hold a key to solving some of the existing issues. In this paper, we critically discuss the current rules and outline a possible way forward for transfers between public bodies. [ABSTRACT FROM AUTHOR]

An initial and comprehensive map of ecological regions across the conterminous United States was provided by Omernik in 1987. Because that paper was the most-cited published by the Annals of the American Association of Geographers, we sought to assess and quantify its contribution to science. To do so, we conducted a scientometric analysis to address the following main questions: 1) What are the temporal and spatial citation trends? We expected that Omernik's paper would still be employed 36 years after its publication, and mostly in the United States of America. 2) For what types of environments and organisms has it been applied? Based on its generality, we expected that it had been applied to both terrestrial and aquatic ecosystems. 3) What are the main applications of Omernik's article? We predicted that it would mostly be used for describing and delineating study sites and management areas, as well as for selecting regional reference sites. The number of citations presented a positive temporal increase, indicating its continued applicability. Most papers dealt with aquatic environments, mainly in streams carried out predominantly in the United States of America, as was one of its earliest applications. The usefulness of ecoregions for assessing and managing biotic and abiotic patterns and distributions were the main topics addressed by scientists. Ecoregions have offered a general framework for developing regional expectations and rational regional management policies across large areas, as was their original intent. In addition, ecoregion maps were used for communicating patterns—or the lack of them—to interested scientists, citizens, and decision-makers. That comprehensiveness of Omernik's ecoregion approach has led to its widespread applicability and continued usefulness to a diverse set of scientific and management disciplines. [ABSTRACT FROM AUTHOR]

The article discusses polarization and middle class. It references the 1992 article "Polarization and the Decline of the Middle Class: Canada and the U.S.," by James Foster and Michael Wolfson in the same issue. The authors used Lorenz curve to determine pay inequality and Gini-like index to measure bipolarization. It is said that the authors' concept of polarization was divided between people with incomes below and above the median income.

This paper investigates the sensitivity of golfers' performance to meteorological conditions at the men's US Masters tournament over the 40-year period 1980–2019. The mean and standard deviation of round scores are related to local temperature, humidity, wind speed and direction, and concurrent and antecedent precipitation. Mean scores are more dependent on weather conditions than the variability of scores in a given round. The best predictor of mean scores is the wet-bulb temperature in rounds one and two, and the zonal wind speed in rounds three and four. Across both sets of rounds (1 and 2, and 3 and 4), the wet-bulb temperature is a better predictor of mean scores than the air temperature, which implies that atmospheric moisture content affects scores. In general, golfers take fewer shots and so perform better in warmer and calmer conditions. The synergestic effect of several weather variables explains over 44% of the variance in mean scores. Mean meteorological conditions during play are a much better predictor of the players' average performance than the standard deviation of the weather variables. The golfers' performance becomes more variable in cooler conditions with a wider range of scores. Precipitation during play and the dampness of the ground (as quantified by rainfall up to ten days before play) do not have a consistent and statistically significant effect on the competitors' performance. In short, this paper demonstrates that golf scores are dependent on weather conditions. [ABSTRACT FROM AUTHOR]

The article posits that the puzzles of stagnating poverty rates amidst high growth and declining unemployment in the United States can be substantially explained by polarized job markets characterized by job quality and job distribution. In recent decades, there has been an increased number of poor-quality jobs and an unequal distribution of jobs in the developed world, particularly in the United States. I have calculated measures of uneven job distribution indices that account for the distribution of jobs across households. A higher value of the uneven job distribution indices implies that there are relatively large numbers of households with multiple employed people and households with no employed people. Similarly, poor-quality jobs are those jobs that do not offer full-time work. Two-way fixed-effect models estimate that higher uneven job distribution across households worsens aggregated poverty at the state level. Similarly, good-quality jobs help households escape poverty, whereas poor-quality jobs do not. This paper suggests that eradicating poverty requires the government to direct labor market policies to be tailored more toward distributing jobs from individuals to households and altering bad jobs into good jobs, rather than merely creating more jobs in the economy. This paper contributes by elaborating on relations of employment and poverty, addressing employment quality and distribution, and providing empirical evidence. [ABSTRACT FROM AUTHOR]

The article focuses on the specification of models of campaign finance and comments on papers which address the specific issues related to specification problems within a general model of Congressional voting in the U.S. The appropriate model within which to address the issues concerning the said papers is one which deals with the relationship between the voting behavior of Congressional representatives, the voting behavior of the constituents and the contributions of donors to campaigns.

Comments on the papers by Theodore Keeler and Barry Weingast about the changes in the U.S. regulatory process. Highlights of Keeler's paper; Information on Weingast's paper; Factor that drives the voter and interest groups to support new views through the electoral process.

Introduction: The emergence of artificial intelligence (AI) chat programs has opened two distinct paths, one enhancing interaction and another potentially replacing personal understanding. Ethical and legal concerns arise due to the rapid development of these programs. This paper investigates academic discussions on AI in medicine, analyzing the context, frequency, and reasons behind these conversations. Methods: The study collected data from the Web of Science database on articles containing the keyword "ChatGPT" published from January to September 2023, resulting in 786 medically related journal articles. The inclusion criteria were peer-reviewed articles in English related to medicine. Results: The United States led in publications (38.1%), followed by India (15.5%) and China (7.0%). Keywords such as "patient" (16.7%), "research" (12%), and "performance" (10.6%) were prevalent. The Cureus Journal of Medical Science (11.8%) had the most publications, followed by the Annals of Biomedical Engineering (8.3%). August 2023 had the highest number of publications (29.3%), with significant growth between February to March and April to May. Medical General Internal (21.0%) was the most common category, followed by Surgery (15.4%) and Radiology (7.9%). Discussion: The prominence of India in ChatGPT research, despite lower research funding, indicates the platform's popularity and highlights the importance of monitoring its use for potential medical misinformation. China's interest in ChatGPT research suggests a focus on Natural Language Processing (NLP) AI applications, despite public bans on the platform. Cureus' success in publishing ChatGPT articles can be attributed to its open-access, rapid publication model. The study identifies research trends in plastic surgery, radiology, and obstetric gynecology, emphasizing the need for ethical considerations and reliability assessments in the application of ChatGPT in medical practice. Conclusion: ChatGPT's presence in medical literature is growing rapidly across various specialties, but concerns related to safety, privacy, and accuracy persist. More research is needed to assess its suitability for patient care and implications for non-medical use. Skepticism and thorough review of research are essential, as current studies may face retraction as more information emerges. [ABSTRACT FROM AUTHOR]

In most of the United States, insurance companies may use gender to determine car insurance rates. In addition, several studies have shown that women over the age of 25 generally pay more than men for car insurance. Then, we investigate whether the distributions of claims for women and men differ in location, scale and shape by means of the GAMLSS regression framework, using microdata provided by U.S. and Australian insurance companies, to use this evidence to support policy makers' decisions. We also develop a parametric-bootstrap test to investigate the tail behavior of the distributions. When covariates are not considered, the distribution of claims does not appear to differ by gender. When covariates are included, the regressions provide mixed evidence for the location parameter. However, for female claimants, the spread of the distribution is lower. Our research suggests that, at least for the contexts analyzed, there is no clear statistical reason for charging higher rates to women. While providing evidence to support unisex insurance pricing policies, given the limitations represented by the use of country-specific data, this paper aims to promote further research on this topic with different datasets to corroborate our findings and draw more general conclusions. [ABSTRACT FROM AUTHOR]

Flash droughts, characterized by rapid onset and development, present significant challenges to agriculture and climate mitigation strategies. Operational drought monitoring systems, based on precipitation, soil moisture deficits, or temperature anomalies, often fall short in timely detection of these events, underscoring the need for customized identification and monitoring indices that account for the rapidity of flash drought onset. Recognizing this need, this paper introduces a global flash drought inventory from 1990 to 2021 derived using the Soil Moisture Volatility Index (SMVI). Our work expands the application of the SMVI methodology, previously focused on the United States, to a global scale, providing a tool for understanding and predicting these rapidly developing phenomena. The dataset encompasses detailed event characteristics, including onset, duration, and severity, across diverse climate zones. By integrating atmospheric variables through their impact on soil moisture, the inventory offers a platform for analyzing the drivers and impacts of flash droughts, and serves as a large, consistent dataset for use in training and evaluating flash drought prediction models. [ABSTRACT FROM AUTHOR]

A method is suggested for estimating additions to carbon stored in harvested wood products (HWP) and for evaluating uncertainty. The method uses data on HWP production and trade from several decades and tracks annual additions to pools of HWP in use, removals from use, additions to solid waste disposal sites (SWDS), and decay from SWDS. The method is consistent with IPCC guidance for estimating emissions from SWDS. Uncertainty is postulated in the form of probability density functions for 14 variables, using Monte Carlo simulation. Results for the United States suggest that uncertainty is most sensitive to uncertainty in production data for solidwood products, the factor used to convert products to carbon, and the proportion of solidwood and paper in SWDS. Uncertainty in the use (service) life of solidwood products has a limited effect because an error offsets changes in products in use and in SWDS. The method provides a starting point for meeting the aims of the IPCC Good Practice Guidance. [ABSTRACT FROM AUTHOR]

Comments on a paper about the relevant lessons from the U.S. Federal Convention of 1787 in the context of the role of institutions in political economy and the performance of economies. Reasons for studying institutions; Path of historical change in terms of the way in which institutions evolved through time; Similarity of the sequential pattern of institutional evolution with the way in which the evolution of common law is perceived.

In the initial version of our paper, we included Clean Water Act data for all 50 states, DC, and Puerto Rico. Similarly, the percent of Clean Water Act permittees in Significant Noncompliance drops from 6.01 to 3.37% and the average percent of permittees in Significant Noncompliance drops from 9.00 to 6.23%. To ensure that we did not misrepresent the level of Clean Water Act Significant Noncompliance in these states, we have corrected our article by removing these states from the Clean Water Act portion of our analysis. [Extracted from the article]

The computer-assisted resuscitation algorithm (CARA) is the software component of an automatic infusion pump system being designed by US Army’s Walter Reed Institute of Research (WRAIR) to be used in the battlefields of tomorrow. Such medical devices are safety critical, and their use needs to be approved by the US Food and Drug Administration (FDA) – a process on which formal methods can have a great impact. In this special section, six papers on the analysis of CARA’s requirements are presented. In the rest of this introduction, we present the framework and summary of results from those papers. [ABSTRACT FROM AUTHOR]

This paper studies the effect of option trading on corporate investment and financing policies. Based on prior literature, I hypothesize that option market induces informed trading and thus reduces information asymmetry and the cost of capital. As a result, firms with high option trading have more investment and financing. Specifically, based on the United States public data, this paper finds that option trading volume increases corporate investment and financing, but reduces cash holdings and corporate payouts. These results are robust to the inclusion of industry or firm fixed effect, a control for endogenous options trading, and the use of alternative measures of option trading and corporate policies. The effect of option trading is stronger for firms with higher information asymmetry problems. Finally, this paper finds the results are inconsistent with the "quiet Life" hypothesis and the catering hypothesis. [ABSTRACT FROM AUTHOR]

In this article, the author analyses papers from the past three decades related to scientific research and find that the best science comes from international collaboration. He states that the rise in total annual output for each country in the research field is due to international collaboration. He further states that he has calculated the balance of international and domestic research collaboration for various established economies such as the U.S., Great Britain and India.

Presents review papers in Journal of Material Science in the U.S. "Structure and Properties of Glass-like Carbon," by L.A. Pesin; "Mechanical Properties of Ice and Snow," by J.J Petrovic; "Stability of Nanostructured Materials," by R.A. Andrievski; "Models in Thermoluminescence," by C. Furetta and G. Kitis; Others.

The growing weight being placed on self-directed retirement accounts within the United States retirement income policy framework, and the time inconsistency challenge of individuals, particularly women, tending to under-invest in retirement savings accounts motivated the current work. Using data from the United States Federal Reserve Board's Survey of Consumer Finances, for a period spanning from 1989 to 2019, 11 cross-sections of data, the paper investigated the role of gender in United States retirement risk-taking investment strategies of single (never married) individuals. The analysis documented increasing trends in the risk-taking of both single women and single men but recorded differences in the risk-taking profiles of the two groups, with single men taking more risk than single women in their retirement wealth building in most cross-sections, with the gender risk-taking gap dropping, nonetheless, algebraically in magnitude from 1989 to 2019. [ABSTRACT FROM AUTHOR]

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

With trends of urbanisation on the rise, providing adequate housing to individuals remains a complex issue to be addressed. Often, the slow output of relevant housing policies, coupled with quickly increasing housing costs, leaves individuals with the burden of finding housing that is affordable and in a safe location. In this paper, we unveil how transit service to employment hubs, not just housing policies, can prevent individuals from improving their housing conditions. We approach this question in three steps, applying the workflow to 20 cities in the United States of America. First, we propose a comprehensive framework to quantify housing insecurity and assign a housing demographic to each neighbourhood. Second, we use transit-pedestrian networks and public transit timetables (GTFS feeds) to estimate the time it takes to travel between two neighbourhoods using public transportation. Third, we apply geospatial autocorrelation to identify employment hotspots for each housing demographic. Finally, we use stochastic modelling to highlight how commuting to areas associated with better housing conditions results in transit commute times of over an hour in 15 cities. Ultimately, we consider the compounded burdens that come with housing insecurity, by having poor transit access to employment areas. In doing so, we highlight the importance of understanding how negative outcomes of housing insecurity coincide with various urban mechanisms, particularly emphasising the role that public transportation plays in locking vulnerable demographics into a cycle of poverty. [ABSTRACT FROM AUTHOR]

Background: Adolescent subjective well-being is a topic that has gained significant focus over recent years. This focus is reflected in forming measurement tools and interventions to better understand better and improve adolescent mental health. While these steps are necessary, problems still exist regarding adolescent subjective well-being measurement. Notably, current measurement tools are limited in their content, applicability to various populations, and accessibility. Aims: This paper examines the psychometric properties of the Survey on Flourishing (SURF) when used with an adolescent sample from the United States. Method: A sample of 334 participants participated in the present study. We examined the reliability and validity of the SURF by examining its internal consistency, convergent validity, and discriminant validity. We also examined the factor structure of the SURF using a confirmatory factor analysis (CFA). Results: The SURF demonstrated high internal consistency (α = 0.92), a strong positive correlation with convergent measures, and a weak negative correlation with a discriminant measure. A one-factor model best fits the observed data. Conclusion: The SURF demonstrated good psychometric properties and addressed several shortcomings in current measures. Preliminary data suggests the SURF may be a useful and practical measure of adolescent subjective well-being. [ABSTRACT FROM AUTHOR]

Breast cancer is one of the tumors with the highest prevalence rate among women in the world, and its BRCA1/2 gene is a common mutation site. Talazoparib, as a targeted PARP inhibitor, can effectively control the occurrence and development of breast cancer with BRCA1/2 gene mutation, and play a therapeutic role. Based on the findings from the Phase III EMBRACE trial (NCT01945775 clinical trial), our analysis reveals that the talazoparib group demonstrated a significant extension in progression-free survival, along with improved response markers and patient-reported outcomes when compared to conventional therapies. This study aims to assess the cost-effectiveness of talazoparib for treating advanced breast cancer with germline BRCA1/2 mutations and HER2 negativity, considering the perspectives of health services in China and the United States. The results obtained will serve as a valuable reference for promoting rational drug utilization and enhancing medical resource efficiency. To evaluate the cost-effectiveness of Talazoparib more scientifically and provide clinicians with chemotherapy options, this paper developed a Markov model based on the EMBRACA clinical trial (clinical Trails.gov No., NCT01945775) to simulate the survival events of breast cancer patients in the Talazoparib group and the standard treatment group. The state transition probability and clinical data of breast cancer patients during treatment were extracted from the phase III EMBRACA clinical trial. The cost data generated during the treatment process comes from local hospital pricing, other references, and expert consultation. This article uses US dollars to calculate the treatment cost and incremental cost-effectiveness ratio. Health outcomes are expressed in Quality Adjusted Life Years (QALYs). In addition, Outcomes were measured in quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio, which robustness was evaluated by deterministic and probabilistic sensitivity analyses. This article establishes a Markov model for single-item sensitivity analysis. The results show that the economic benefits of using Talazoparib as a new treatment strategy in both China and the United States are higher than other drugs, and it is cost-effective. Compared to the control group, the incremental cost incurred by the Talazoparib treatment group in China was $2484.48/QALY, with an incremental QALY of 1.5. However, Talazoparib in the United States holds a dominant position, saving costs of $10,223.43 and increasing QALYs by 1.5. The clinical treatment effect of Talazoparib group in BRCA1/2 mutant advanced breast cancer patients is better than that of the standard treatment group, and the progression free survival period is significantly prolonged. From the perspective of medical and health services in China and the United States, the Talazoparib group is more economical than the standard treatment group in treating patients with BRCA1/2 mutant advanced breast cancer. [ABSTRACT FROM AUTHOR]

Background: In the US, over 50% of suicide deaths are by firearm injury. Studies have found that limiting access to firearms, including storing them temporarily outside of the home or locking and unloading them securely at home, helps prevent suicide. Family members and other loved ones are in a unique position to encourage secure firearm storage. This paper describes the development of a workshop to empower loved ones of individuals at risk for suicide to discuss secure firearm storage in New York State. Methods: Using a multistakeholder engagement framework, we partnered with New York State county-level suicide prevention coalitions, local firearms experts, and other stakeholders to develop a 90-min workshop addressing secure firearm storage for suicide prevention. Pilot workshops were co-facilitated by a suicide prevention coalition member and a local firearms expert. Feedback gathered via surveys from workshop attendees and interviews with workshop co-facilitators were used to revise workshop content and inform dissemination. Following pilot workshops, a 1-day training event was held for potential future facilitators, and survey data were collected to assess trainee experiences and interest in facilitating future workshops. Data analysis included rapid qualitative analysis of interviews and statistical analysis of survey responses about acceptability of workshop. Results: Four pilot workshops included a total of 23 attendees. Pilot workshop attendees endorsed willingness and confidence to discuss secure firearm storage with a family member or loved one. The training event included 42 attendees, of which 26 indicated interest in facilitating a workshop within the next year. Co-facilitators agreed on several key themes, including the importance of having a "trusted messenger" deliver the firearms portion of the workshop, keeping the conversation focused on firearm safety for suicide prevention, and developing interventions that reflect firearm owning community's culture. Conclusions: Consistent with a public health approach to suicide prevention, this study leveraged a multistakeholder engagement framework to develop a community-based workshop empowering loved ones of individuals at risk for suicide to discuss secure firearm storage. The workshop will be disseminated across New York State. We noted positive and collaborative relationships across stakeholder groups, and willingness to facilitate the workshop among both suicide prevention and firearm stakeholders. [ABSTRACT FROM AUTHOR]

Publicly available electric vehicle (EV) infrastructure is pivotal for the United States EV transition by 2030. Existing infrastructure lacks equitably distribution to low-income and underrepresented communities, impeding mass adoption. Our study, utilizing 2021 micro-level data from 121 million United States households, comprehensively examines income and racial disparities in EV infrastructure accessibility. Our analysis of national averages indicates that lower-income groups face less accessibility to public EV infrastructure in both urban and rural geographies. Black households experience less rural accessibility, but greater urban accessibility compared to White households conditioning on income. However, our localized analysis uncovers significant variations in accessibility gaps among counties, rural and urban settings, and dwelling types. While Black households experience greater urban accessibility nationally, a closer look at the county level reveals diminishing advantages. This study identifies areas with pronounced inequality and urgent needs for enhanced accessibility, emphasizing the necessity for tailored solutions by local governments to enhance equitable access to EV infrastructure. This paper finds that on average lower-income groups encounter reduced accessibility to public EV infrastructure in urban and rural areas. Black households have less rural accessibility, but greater urban accessibility compared to White households. [ABSTRACT FROM AUTHOR]

Introduction: This study presents a global research scenario in the broad domain of osteoarthritis (OA) research, using quantitative and qualitative publication and citation indicators. Methods: The study is based on 45,368 global publications, sourced from the Scopus bibliographical database, covering three decades (1994–2023). We studied the performance of the top 12 developed and top 12 developing countries. The key countries, organizations and authors at national and international levels were identified. The broad subject areas and key journals contributing to global OA research were delineated, besides identifying the broad characteristics of highly cited papers in the field. Results: The United States and China were the most productive countries, while the Netherlands and Canada made the largest citation impact. Harvard Medical School and the University of Sydney made the most contribution, while Boston University and Pfizer Inc., USA registered the highest citation impact. Hunter DJ and Guermazi A were the most productive authors, while Lohmander LS, and Hochberg MC registered the highest citation impact. Osteoarthritis and Cartilage (n = 4879) and Annals of the Rheumatic Diseases (n = 786) published the maximum papers, while Arthritis and Rheumatism and Nature Reviews Rheumatology registered the largest citation impact. The highly cited papers with 100 or more citations constituted 6.25% of the total publications. Conclusions: There has been a systematic growth of publications on OA. The research on OA was mainly done in developed countries, with the maximum publications coming from the United States of America, China and Canada. The most impactful publications on OA were from the Netherlands, Canada and the United States of America. [ABSTRACT FROM AUTHOR]

Background: Interleukin17 (IL17) is an important cytokine in host defense at mucosal surfaces and also mediates many autoimmune diseases, including rheumatoid arthritis (RA). In recent years, many types of research relevant to the structure and function of IL17 have been identified. However, there is no bibliometric analysis in this research field. This study aims to explore the history, research hotspots, and emerging trends of IL17 from the perspective of the structure and function dynamics. Methods: Articles relevant to IL17 in the last two decades were retrieved through the Web of Science Core Collection (WoSCC) database. The bibliometric analysis was performed by VOSview. Results: A total of 882 papers in this research were analyzed from 65 countries, and the rate of published articles has increased from 2008 annually, with the USA, China, and Germany leading the research effort. Frontiers in Immunology has significantly impacted research in this field and the University of Pittsburgh was the leading institution. Gaffen, Sarah L. from the University of Pittsburgh was the most productive researcher in this field and Papp Ka from the Probity Medical Research Incorporate of Canada is the most co-cited author. The analysis of keywords showed that inflammation, expression, Th17 cells, and cytokines were the main hotspots and frontier directions of IL17. The trend of clinical application in the future is the development of new therapy drugs based on the structure of IL17 or IL17 signaling pathway molecular. Conclusions: Our research summarized the developments and research trends of IL17 and would help researchers understand the research status of IL17 and provide a reference for future researchers as soon as possible. [ABSTRACT FROM AUTHOR]

Understanding projected changes in flooding across the contiguous United States (CONUS) helps increase our capability to adapt to and mitigate against this hazard. Here, we assess future changes in flooding across CONUS using outputs from 28 global climate models and four scenarios of the Coupled Model Intercomparison Project Phase 6. We find that CONUS is projected to experience an overall increase in flooding, especially under higher emission scenarios; there are subregional differences, with the Northeast and Southeast (Great Plains of the North and Southwest) showing higher tendency towards increasing (decreasing) flooding due to changes in flood processes at the seasonal scale. Moreover, even though trends may not be detected in the historical period, these projected future trends highlight the current needs for incorporating climate change in the future infrastructure designs and management of the water resources. This paper assesses future changes in flood magnitude across the conterminous United States based on multiple climate change scenarios. The results suggest that annual maximum peak discharge is projected to become more extreme under higher emission scenarios. [ABSTRACT FROM AUTHOR]

Since 2000 several papers have examined the efficiency of healthcare delivery systems worldwide. These papers have extended the literature using drastically different input and output combinations from one another, with little theoretical or empirical support backing these specifications. Issues arise that many of these inputs and outputs are available for a subset of OECD countries each year. Using a common estimator and the different specifications proposed leads to the result that efficiency rankings across papers can diverge quite significantly, with several countries being highly efficient in one specification and highly inefficient in another. Broad input-output measures that are collected annually provide consistent efficiency rankings across specifications, compared to specifications that utilize specific measures collected infrequently. This paper also finds that broad output measures that are not quality-adjusted, such as life expectancy, seem to be a suitable alternative for infrequently collected quality-adjusted output measures, such as disability adjusted life years. [ABSTRACT FROM AUTHOR]

This article focuses on careers in journalism. A staff position as a science journalist is as rare as it is coveted. In fact, many more opportunities exist for public information officers or freelance writers. Whatever the position, the ability to communicate is the common denominator. People who write about science for a living fall into two broad categories. There's science journalism and science writing, and those are two different things, says Deb Blum, president of the U.S. National Association of Science Writers (NASW), which promotes both roles. Blum says that journalism is undergoing a revival that reflects an upturn in U.S. advertising dollars.

Reports of the two American newspapers fighting a messy public battle over a series of article that criticize one of the most respected cancer centers in the world. Allegation that the Fred Hutchinson Cancer Research Center failed to tell patients about the true risks of cancer trials; Conflict of financial interests; Uninformed consent.

Reports on the publication of a research paper that argues in favor of intelligent design in the "Proceedings of the Biological Society of Washington" in the U.S. Impact of the publication of the paper on the advocacy of getting intelligent design into the curriculum; Use of information theory and other techniques to argue that the complexity of living organisms cannot be explained by Darwinian evolution; Overview of the arguments of Stephen Meyer, the author of the paper.

Shale gas reservoirs are contributing a major role in overall hydrocarbon production, especially in the United States, and due to the intense development of such reservoirs, it is a must thing to learn the productive methods for modeling production and performance evaluation. Consequently, one of the most adopted techniques these days for the sake of production performance analysis is the utilization of artificial intelligence (AI) and machine learning (ML). Hydrocarbon exploration and production is a continuous process that brings a lot of data from sub-surface as well as from the surface facilities. Availability of such a huge data set that keeps on increasing over time enhances the computational capabilities and performance accuracy through AI and ML applications using a data-driven approach. The ML approach can be utilized through supervised and unsupervised methods in addition to artificial neural networks (ANN). Other ML approaches include random forest (RF), support vector machine (SVM), boosting technique, clustering methods, and artificial network-based architecture, etc. In this paper, a systematic literature review is presented focused on the AI and ML applications for the shale gas production performance evaluation and their modeling. [ABSTRACT FROM AUTHOR]

This study focuses on the scientific output of firms of different sizes in different industries m the U.S. Both patents, and papers and publications are used as measures of technical output. Data from two samples of firms, one consisting of 225 large firms (annual sales at least $250 million and minimum annual R&D budget of St million) and the other consisting of 248 small and medium sized firms (annual sales between $10 to $200 million and annual R&D budget at least SW thousand) have been presented here. The study shows that determinants of R&D expenditure are different in finns of different sizes. For the large firms, R&D expenditure depends on net income as well as its size, measured in terms of annual sales. For small size firms, R&D expenditure is closely related with sales, rather than the net income. For large firms, R&D expenditure is related to both sales and income, the latter being more important than the former. The two output measures, patents and papers are correlated, but the correlation is not a very strong one for small firms. Patent and papers are correlated significantly with both R&D expenditure as well as annual sales. The firm's growth is not linked with patents. On the contrary, there is a negative relationship between patent and R&D growth and patent and income growth in the case of small firms. Papers are not linked with growth variables for small firms. Finally. this study confirms the hypothesis that small firms are more productive in innovation than the large firms. Small firms are more efficient than their larger competitors in terms of patents and papers per million dollars of R&D expenditure. [ABSTRACT FROM AUTHOR]

The article presents views and insights of the author concerning the election law and charter-change processes in the U.S. The author presented his most useful contributions to the problems of modeling constitutional choice processes. He points out that the battles in constitutional conventions are often between the reformers bend on change and the politicians who want to block or shape change to serve their quite different objectives.

Investigates the growth of nanotechnology data falsification in the U.S. Impact of document falsification on nanotechnology researcher; Scrutiny of the papers relating to electronic devices; Role of physicist Malcolm Beasley in the investigation of data.

The article presents an introduction to the special section of the journal on different aspects of the links between the U.S. and the rest of the world. One of the papers examines the general issue of the sources of output spillovers across countries. Another paper explores alternative explanations for the factors that have attracted the funds needed to finance massive current account deficits of the U.S.

Presents a call for papers encouraging the readers to share experience and ideas to the tragic events of September 11, 2001 in New York and Washington.

Presents a call for research papers on the September 11, 2001, terrorist attacks in the U.S. by the "Journal of Religion and Health" periodical.

In the United States, recent changes to the National Statistical System have amplified the geographic-demographic resolution trade-off. That is, when working with demographic and economic data from the American Community Survey, as one zooms in geographically one loses resolution demographically due to very large margins of error. In this paper, we present a solution to this problem in the form of an AI based open and reproducible geodemographic classification system for the United States using small area estimates from the American Community Survey (ACS). We employ a partitioning clustering algorithm to a range of socio-economic, demographic, and built environment variables. Our approach utilizes an open source software pipeline that ensures adaptability to future data updates. A key innovation is the integration of GPT4, a state-of-the-art large language model, to generate intuitive cluster descriptions and names. This represents a novel application of natural language processing in geodemographic research and showcases the potential for human-AI collaboration within the geospatial domain. [ABSTRACT FROM AUTHOR]