Revealing the process and mechanism of non-grain production of cropland in rapidly urbanized deqing County of China.

Non-grain production of cropland (NGPCL) is a common consequence of rapid urbanization, but excessive NGPCL threatens food security and sustainable cropland use. However, the evolutionary processes and mechanisms of different NGPCL types remain largely unknown, compromising the scientific basis for NGPCL management. Thus, taking rapidly urbanized Deqing as the study area, this research constructed an NGPCL theoretical framework from the perspective of agricultural location, classified NGPCL types using Landsat images, random forest algorithm and Google Earth Engine, and revealed their spatiotemporal changes and different influencing factors through the Multinomial Logit Regression model, and provided targeted zoning and categorized policy suggestions.

Regional green economies and Bitcoin's electricity consumption: Paving the way for global sustainability.

In the context of global sustainability goals, it is imperative to examine the interplay between emerging financial technologies and environmental objectives, which in turn offers insights into the implications of such technologies on sustainable investments and environmental policy decisions. Accordingly, this study investigates the influence of Bitcoin's energy consumption (BEC), as a representative of the cryptocurrency market, on the regional green economy indices of the United States, Europe, and Asia. Utilizing both unfiltered and filtered data, we conduct empirical analyses from both static and dynamic perspectives to account for the causal relationships that emerged during critical market developments, employing novel algorithms including forward recursive, rolling windows, and recursive rolling.

Accurate image reconstruction within and beyond the field-of-view of CT system from data with truncation.

Objective: Accurate image reconstruction from data with truncation in X-ray computed tomography (CT) remains a topic of research interest; and the works reported previously in the literature focus largely on reconstructing an image only within the scanning field-of-view (FOV). We develop algorithms to invert the data model with truncation for accurate image reconstruction within the entire subject support or a region slightly smaller than the subject support.

Methods: We formulate image reconstruction from data with truncation as an optimization program, which includes hybrid constraints on image total variation (TV) and image L1-norm for effectively suppressing truncation artifacts.

Glycosylated peptides isolated from cheese whey have antifreezing activity.

The glycomacropeptide (GMP) present in the cheese whey byproduct can be an excellent antifreezing agent due to its unique molecular structure. The objective of this study was to concentrate this peptide and investigate its ice recrystallization inhibition (IRI) ability. Heat denaturation of the non-GMP proteins and preparative liquid chromatography were used to create fraction 1 (F1) and fraction 2 (F2) and these were tested using the splat assay and a modified sucrose sandwich assay to investigate their IRI activity.

Food insecurity and ultra-processed food consumption in the Health and Retirement Study: Cross-sectional analysis.

Background: Higher ultra-processed foods (UPF), attributed to more than half of daily intake in the US, have been associated with impaired health outcomes. Documented evidence highlights disparities in UPF consumption due to food insecurity, which is a public health challenge among older adults in the US.

Objectives: The study examined the link between food insecurity and UPF consumption.

A mixed method approach to substantiate quantitative data with qualitative data: Improving clinical judgment in prelicensure nursing students using simulation.

Background: Current literature demonstrates a gap in research involving mixed method study of clinical judgment development in prelicensure nursing students.

Objectives: Clinical judgment of two groups of nursing students were compared using the Lasater Clinical Judgment Rubric (LCJR).

Design: A mixed method convergent parallel quasi-experimental cross-sectional approach was used to determine if simulation increased clinical judgment skills between beginner and advanced pre-licensure nursing students.

Effect of electrochemical topology on detection sensitivity in MEA assay for drug-induced cardiotoxicity screening.

Cardiotoxicity remains a major challenge in drug development, accounting for 45% of medication withdrawals due to cardiac ischemia and arrhythmogenicity. To overcome the limitations of traditional multielectrode array (MEA)-based cardiotoxicity assays, we developed a Nafion-coated NanoMEA platform with decoupled reference electrodes, offering enhanced sensitivity for electrophysiological measurements. The 'Decoupled' configuration significantly reduced polarization resistance (Rp) from 12.

Opinions about climate change, health, and pharmacy education among pharmacy faculty and administrators in the United States: A cross-sectional survey.

Background: The pharmacy profession must address climate change and its impact on health. Student pharmacists should be made aware of roles in sustainability, education, patient care, and advocacy; yet, pharmacy educators' perceptions of climate change and health may impact the extent and quality of education provided.

Objective: The primary objective was to assess pharmacy educators' beliefs regarding climate change and whether its effects on health should be included in Doctor of Pharmacy curricula.

Computational exploration of the self-aggregation mechanisms of phenol-soluble modulins β1 and β2 in Staphylococcus aureus biofilms.

The formation of functional bacterial amyloids by phenol-soluble modulins (PSMs) in Staphylococcus aureus is a critical component of biofilm-associated infections, providing robust protective barriers against antimicrobial agents and immune defenses. Clarifying the molecular mechanisms of PSM self-assembly within the biofilm matrix is essential for developing strategies to disrupt biofilm integrity and combat biofilm-related infections. In this study, we analyzed the self-assembly dynamics of PSM-β1 and PSM-β2 by examining their folding and dimerization through long-timescale atomistic discrete molecular dynamics simulations.

Adapting the Technology Acceptance Model to Examine the Use of Information Communication Technologies and Loneliness Among Low-Income, Older Asian Americans: Cross-Sectional Survey Analysis.

Background: Loneliness is a significant issue among older Asian Americans, exacerbated by the COVID-19 pandemic. Older age, lower income, limited education, and immigrant status heighten loneliness risk. Information communication technologies (ICTs) have been associated with decreased loneliness among older adults.

Designing a Multimodal and Culturally Relevant Alzheimer Disease and Related Dementia Generative Artificial Intelligence Tool for Black American Informal Caregivers: Cognitive Walk-Through Usability Study.

Background: Many members of Black American communities, faced with the high prevalence of Alzheimer disease and related dementias (ADRD) within their demographic, find themselves taking on the role of informal caregivers. Despite being the primary individuals responsible for the care of individuals with ADRD, these caregivers often lack sufficient knowledge about ADRD-related health literacy and feel ill-prepared for their caregiving responsibilities. Generative AI has become a new promising technological innovation in the health care domain, particularly for improving health literacy; however, some generative AI developments might lead to increased bias and potential harm toward Black American communities.

The role of psychological factors in predicting self-rated health: implications from machine learning models.

Self-rated health (SRH) is a significant predictor of future health outcomes. Despite the contribution of psychological factors in individuals' subjective health assessments, prior studies of machine learning-based prediction models primarily focused on health-related factors of SRH. Using the Midlife in the United States (MIDUS 2), the current study employed machine learning techniques to predict SRH based on a broad array of biological, psychological, and sociodemographic factors.

Social Determinants of Health and Cross-Sectional Cognitive Intra-Individual Variability in Adults from the Deep South Living with HIV.

Cognitive intra-individual variability (IIV) is a sensitive marker of neuropathology and is increased in people with HIV (PWH). In a sample of PWH from the United States Deep South, we examined the relationship of cognitive IIV with cognitive impairment and social determinants of health (SDoH). This secondary analysis included 131 PWH from a larger cognitive training protocol.

Improving Medication-Related Safety for Residents in Nursing Homes: A Qualitative Study.

Purpose: To gain a better understanding of the perceptions of RNs on medication safety concerns and potential solutions for nursing home (NH) residents.

Method: This prospective, qualitative study used semi-structured phone interviews with a description approach. We used purposeful sampling to recruit 12 RNs employed at two NHs in the northeastern region of the United States.

A Spectrochemical Series for Electron Spin Relaxation.

Controlling the rate of electron spin relaxation in paramagnetic molecules is essential for contemporary applications in molecular magnetism and quantum information science. However, the physical mechanisms of spin relaxation remain incompletely understood, and new spectroscopic observables play an important role in evaluating spin dynamics mechanisms and structure-property relationships. Here, we use cryogenic magnetic circular dichroism (MCD) spectroscopy and pulse electron paramagnetic resonance (EPR) in tandem to examine the impact of ligand field (d-d) excited states on spin relaxation rates.

No-Test Telehealth Medication Abortion Services Provided by US-Based Clinicians in 21 States and the District of Columbia, 2020‒2022.

To evaluate the association between distance from closest abortion facility and number of fulfilled requests through no-test telehealth medication abortion (NTMA) asynchronous service. Using deidentified 2020-2022 electronic medical record data from Aid Access users in US states where NTMA is prescribed by US-based clinicians, we describe individual user demographics and their resident county characteristics. We conducted a county-level geospatial analysis of distance to abortion facility (Myers Abortion Facility Database) on fulfilled requests using Poisson regression.

Development of Texas's First Chinese American Community Health Worker Certification for Family Health History-Based Cancer Prevention.

To address leading health organizations' calls for public health professionals to adopt family health history (FHH) into their practice, we developed the first community health worker Texas state-certification program focusing on FHH-based cancer prevention for Chinese Americans, for whom cancer is the leading cause of death. The 160-hour program trained 46 Chinese American CHWs to provide FHH-based cancer prevention services for 1129 Chinese Americans. Our program contributes to the establishment of a public health workforce with FHH-based competence and reduces cancer disparities.

HIV Trends in Metropolitan US Cities From 2014 to 2021: Baseline Data for the Ending the HIV Epidemic Initiative.

To examine baseline trends for the 2019 Ending the HIV Epidemic in the United States (EHE), which aims to reduce HIV incidence by 90% by 2030 in the 57 counties and states responsible for half of incident infections, and to provide a counterfactual comparator for future evaluation of the initiative's midpoint. We used 2014‒2021 metropolitan statistical area (MSA) data to compare HIV diagnostic rate trends between MSAs subsuming EHE regions (n = 46) and other MSAs (n = 76). A difference-in-difference analysis illustrated potential early-stage programmatic effects.

Introduction to a review series on reflections on a quarter century of TKIs in CML.

No abstract provided.

Effects of Magnesium-Doped Hydroxyapatite Nanoparticles on Bioink Formulation for Bone Tissue Engineering.

Bioprinting of nanohydroxyapatite (nHA)-based bioinks has attracted considerable interest in bone tissue engineering. However, the role and relevance of the physicochemical properties of nHA incorporated in a bioink, particularly in terms of its printability and the biological behavior of bioprinted cells, remain largely unexplored. In this study, two bioinspired nHAs with different chemical compositions, crystallinity, and morphologies were synthesized and characterized: a more crystalline, needle-like Mg-doped nHA (N-HA) and a more amorphous, rounded Mg- and CO-doped nHA (R-HA).

Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure?

Prevalence of autism diagnosis has historically differed by demographic factors. Using data from 8224 participants drawn from the Environmental influences on Child Health Outcomes (ECHO) Program, we examined relationships between demographic factors and parent-reported autism-related traits as captured by the Social Responsiveness Scale (SRS; T score > 65) and compared these to relations with parent-reported clinician diagnosis of ASD, in generalized linear mixed effects regression analyses. Results suggested lower odds of autism diagnosis, but not of SRS T > 65, for non-Hispanic Black children (adjusted odds ratio [OR] = 0.

Social Disengagement in Post-Pandemic China: A Translation, Validation and Cross-Cultural Comparison of the Pandemic Disengagement Syndrome Scale.

Background: In contrast to abundant research on the various acute mental effects of COVID-19, the long-term influences of the pandemic are still underexplored in China owing to the paucity of assessment tools. The Pandemic Disengagement Syndrome Scale (PDSS) assesses people's social disengagement as a lasting psychological consequence in Western countries during the post-COVID-19 pandemic era. However, its generalizability across cultures is untested.