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Using a dynamic panel dataset of 150 countries for the period of 2006-2018 and a two-step system GMM estimation model, this paper shows that natural resources have a positive effect on economic development while holding corruption constant. Our findings support the notion that natural resources have a positive effect on the economy of a nation. When a country has less corruption, it improves the appropriation of economic gains from natural resources which serves as natural capital that would drive further capital accumulation and further development. We also find that physical capital, human capital, and freedom from corruption show strong positive effects on economic development, controlling for other economic and institutional variables.

Narrative language samples can be used to measure language development in children, but research on narrative development in deaf and hard-of-hearing (DHH) children is scarce, limiting knowledge of developmental stages and best practices for collection and analysis. This scoping review included 39 articles that explored recent methodologies and achievements in oral or signed narratives of DHH children, including comparisons with hearing peers and within-group analyses of early auditory experience, device use, and other measures. Articles featured DHH participants aged < 4 to 18 years, varying in device use, communication modalities, and educational settings. Most studies utilized story generation tasks with early elementary-aged children and analyzed either microstructure or macrostructure. Mixed results in comparisons with hearing children emphasized the need to consider individual differences (e.g., speech perception and age of spoken language access) in DHH narrative assessments. Findings also suggest that comparability across studies would be improved by more consistent terminology and procedures in narrative collection/analysis.

<h2>Abstract</h2><h3>Background</h3> Patients presenting to the emergency department (ED) following nonfatal opioid overdose represent a high-risk population with 5 % of patients dying within a year of the index visit. <h3>Objective</h3> To evaluate subsequent overdose and death before and after the implementation of an ED discharge naloxone program. <h3>Methods</h3> This was a retrospective cohort study of ED patients who presented at the Virginia Commonwealth University Health ED with an Opioid Use Disorder (OUD) chief complaint before and after a discharge naloxone program. The pre-naloxone cohort was consecutive ED OUD patients from August 15, 2021, to August 14, 2022, and the post-naloxone cohort from August 15, 2022, to August 14, 2023. The outcomes were subsequent overdose, ED visit to same hospital (VCU), and death within six months of the index visit. <h3>Results</h3> In total, 1,053 patients were included, of which 529 were in the pre-naloxone cohort and 524 patients in the post-naloxone cohort. The mean age was 44.2 years (SD = 14.0) and 69 % were males. There was a reduction in overdose requiring ED visiting (subsequent ED overdose) and death (4.6 % vs 9.2 % p = 0.03 and 2.0 % vs 5.6 % p = 0.02 respectively) in the post-naloxone cohort compared to the pre-naloxone cohort. After adjusting for sociodemographic and clinical factors, there was a 48 % reduction in the risk of subsequent ED overdose (RR = 0.52, 95 % CI: 0.27, 1.02) and a 63 % reduction in the risk of death (RR = 0.37, 95 % CI: 0.14, 0.95). <h3>Conclusion</h3> Implementing an ED take-home naloxone program was associated with a reduction in subsequent overdose and death at six months.

In the United States (US) kindergarten through twelfth-grade public school system, the classroom library has come to be a critical part of literacy instruction within the language arts classroom. This fact is especially true in the middle school grade levels (grades five through eight), where reading volume begins to rapidly increase. Additionally, a developmental norm for students within this age range includes a growing sense of independence and choice, as well as a desire to share and voice opinions. Classroom libraries have come to be tools that are used regularly and are heavily influential on the way that students grow to perceive themselves, the world around them, and the way they fit into that world. However, classroom libraries have remained stagnant and underrepresent the diverse populations of the students in those classrooms. This article aims to connect deep reflective thinking with anti-oppressive and transformative learning theories, exploring how these frameworks can be used to problematize current practices in classroom libraries. Through a content analysis of what is seen as deep and critical thinking practices and reflective thinking practices, anti-oppressive and transformative learning theories can be linked to foster a social justice classroom culture within US public middle school language arts classrooms. © 2025 Common Ground Research Networks. All rights reserved.

Background: Social determinants of health account for racial inequities in breastfeeding rates in the United States. There is a gap in the role of neighborhood socioeconomic status (NSES) as it relates to breastfeeding disparities. Methods: Using longitudinal data from the Black Women’s Health Study, we assessed associations of NSES with breastfeeding initiation and duration in a cohort of primiparous U.S. Black women. We also explored associations within strata of important economic indicators, including education, occupation, and marital status. Results: Breastfeeding initiation ( n = 2,705) increased with NSES quartile, from 75.2% in the lowest quartile to 88.3% in the highest quartile ( p &lt; 0.0001). Compared with women living in the highest NSES quartile, those in the lowest quartile had a 41% (odds ratio: 0.59 [95% confidence interval: 0.43, 0.81]) decreased odds of initiating breastfeeding. For breastfeeding duration ( n = 2,172), women residing in NSES quartiles 1–3 were significantly less likely ( p &lt; 0.0001) to breastfeed (44.4%) for 6+ months compared with those living in the highest quartile (62.8%). Adjusted relative risks for those in quartiles 1–3 compared with 4 (highest) were 0.63 (0.45, 0.87), 0.50 (0.37, 0.68), and 0.64 (0.47, 0.86), respectively ( p = 0.0001). There was no statistically significant evidence of effect modification by education, occupation, marital status, and region ( P interaction = &gt;0.05). Conclusion: Living in a lower NSES environment was associated with reduced breastfeeding initiation and duration compared with a higher NSES environment. Research is needed to understand the mechanisms by which neighborhood-level factors influence breastfeeding initiation and duration for Black women in the United States.

Diabetes, affecting more than 500 million individuals worldwide, is the most widespread non-communicable disease, globally. The early identification and effective management of diabetes are crucial for controlling its spread. Currently, the HbA1c test is the gold standard for the detection of diabetes with high confidence. But this is an invasive, expensive pathology test. Therefore, alternative non-invasive and inexpensive methods have been proposed in the literature for the early detection of diabetes.

Social and behavioral science researchers who use survey data are vigilant about data quality, with an increasing emphasis on avoiding common method variance (CMV) and insufficient effort responding (IER). Each of these errors can inflate and deflate substantive relationships, and there are both a priori and post hoc means to address them. Yet, little research has investigated how both IER and CMV are affected with the use of these different procedural or statistical techniques used to address them. More specifically, if interventions to reduce IER are used, does this affect CMV in data? In an experiment conducted both in and out of the laboratory, we investigate the impact of attentiveness interventions, such as a Factual Manipulation Check (FMC) on both IER and CMV in same-source survey data. In addition to typical IER measures, we also track whether respondents play the instructional video and their mouse movement. The results show that while interventions have some impact on the level of participant attentiveness, these interventions do not appear to lead to differing levels of CMV.

Artificial intelligence (AI) is a distinct area of computer science that enables machines to handle and interpret complex data effectively. In recent years, there has been a dramatic uptick in studies devoted to AI, with many focusing on healthcare and medical research. This article delves deep into the potential of AI in several areas of healthcare, including the diagnosis and treatment of diseases. In recent years, Machine learning (ML) and deep learning (DL) have emerged as the most widely used artificial intelligence technologies in the healthcare industry. Moreover, this research demonstrates the crucial significance of progressing AI technologies, namely generative AI and large language models (LLMs), highlighting their revolutionary influence on healthcare. Finally, we highlight upcoming innovations and offer profound insights into the significant ethical, medical, and technological challenges associated with AI in healthcare. © 2025 Nova Science Publishers, Inc. All rights reserved.

We report directed flow (v1) of multistrange baryons (Ξ and Ω) and improved v1 data for K−, p¯, Λ¯ and ϕ in Au+Au collisions at sNN=27 and 200 GeV from the STAR experiment at the Relativistic Heavy Ion Collider (RHIC). We focus on particles whose constituent quarks are not transported from the incoming nuclei but instead are produced in the collisions. At intermediate impact parameters, we examine quark coalescence behavior for particle combinations with identical quark content, and search for any departure from this behavior (“splitting”) for combinations having non-identical quark content. Under the assumption of quark coalescence for produced quarks, the splitting strength appears to increase with the electric charge difference of the constituent quarks in the combinations, consistent with electromagnetic effect expectations.

We report the differential yields at mid-rapidity of the Breit-Wheeler process (𝛾⁢𝛾→𝑒+⁢𝑒−) in peripheral Au+Au collisions at √𝑠𝑁⁢𝑁=54.4 and 200 GeV with the STAR experiment at the Relativistic Heavy Ion Collider (RHIC), as a function of energy √𝑠𝑁⁢𝑁, 𝑒+⁢𝑒− transverse momentum 𝑝T, 𝑝2T, invariant mass 𝑀𝑒⁢𝑒, and azimuthal angle. In the invariant mass range of 0.4<𝑀𝑒⁢𝑒<2.6GeV/𝑐2 at low transverse momentum (𝑝T<0.15GeV/𝑐), the yields increase while the pair √⟨𝑝2T⟩ decreases with increasing √𝑠𝑁⁢𝑁, a feature that is correctly predicted by the QED calculation. The energy dependencies of the measured quantities are sensitive to the nuclear form factor, infrared divergence and photon polarization. The data are compiled and used to extract the charge radius of the Au nucleus.