Antimicrobial bianthrones from the crinoid sp.

Antimicrobial resistance is a global public health problem and identification of new chemical scaffolds is important to overcoming this threat. In a recent high-throughput discovery campaign, fractions derived from the organic extract of crinoid, sp. (Echinodermata), showed antibacterial activity.

Evaluation of machine learning models that predict lncRNA subcellular localization.

The lncATLAS database quantifies the relative cytoplasmic versus nuclear abundance of long non-coding RNAs (lncRNAs) observed in 15 human cell lines. The literature describes several machine learning models trained and evaluated on these and similar datasets. These reports showed moderate performance, .

Structure elucidation, absolute configuration, and biological evaluation of cyclic peroxides from the sponge Plakinastrella sp.

Two cyclic peroxides, plakortides V (1) and W (2) were purified from the organic extract of the sponge Plakinastrella sp. Their planar structures were established based on extensive NMR and MS analysis and the absolute configurations of the three stereogenic centers of the 1,2-dioxane moiety were determined to be 3R,4S,6S by comparative analysis of the H NMR spectral data of the R- or S-MTPA Mosher esters. Compounds 1 and 2 exhibited potent cytotoxic activity against LOX IMVI (melanoma), UO-31 (renal), and HL-60 (TB) (leukemia) cell lines in the NCI-60 cytotoxicity assay.

Somatic mutations in 3929 HPV positive cervical cells associated with infection outcome and HPV type.

Invasive cervical cancers (ICC), caused by HPV infections, have a heterogeneous molecular landscape. We investigate the detection, timing, and HPV type specificity of somatic mutations in 3929 HPV-positive exfoliated cervical cell samples from individuals undergoing cervical screening in the U.S.

Rearing condition influences gene expression in postlarval American lobster (Homarus americanus).

The American lobster (Homarus americanus) is an economically important species in the western Atlantic and its climate-driven range shift northward along the east coast of the United States is well documented. The thermal tolerance of lab-reared postlarvae of this species has been extensively investigated to better understand settlement and recruitment dynamics. However, there have been few studies focused on wild-caught postlarvae, and even fewer that have analyzed lab-rearing conditions in context of diet.

Transfer Learning Video Classification of Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction in Echocardiography.

Identifying patients with left ventricular ejection fraction (EF), either reduced [EF < 40% (rEF)], mid-range [EF 40-50% (mEF)], or preserved [EF > 50% (pEF)], is considered of primary clinical importance. An end-to-end video classification using AutoML in Google Vertex AI was applied to echocardiographic recordings. Datasets balanced by majority undersampling, each corresponding to one out of three possible classifications, were obtained from the Standford EchoNet-Dynamic repository.

Guidance on Conversations About Race and Racism in Pediatric Clinical Settings.

Objective: To develop guidance for pediatric clinicians on how to discuss race and racism in pediatric clinical settings.

Methods: We conducted a modified Delphi study from 2021 to 2022 with a panel of pediatric clinicians, psychologists, parents, and adolescents with expertise in racism and child health through scholarship or lived experience. Panelists responded to an initial survey with open-ended questions about how to talk to youth about race and racism.

Implementation of Health Policies in the COVID-19 Pandemic Phases of Myanmar and How the Population Approach Influenced Their Success Rate.

The impact of the COVID-19 pandemic is continuing in developing countries, and post-pandemic individuals are still suffering mentally and physically. Many researchers have tried to find the causes and risks that can impact the spread of disease. Among the causes and risks identified, socioeconomic factors and health policies played an important role in determining the transmission of the disease.

Global phylogenetic analysis of soybean dwarf virus isolates and their associations with aphid vectors and severe disease in soybeans.

Soybean dwarf virus (SbDV) was first described in Japan as an agent of severe soybean disease transmitted by the foxglove aphid, Aulacorthum solani, with separable yellowing (Y) and dwarfing (D) strains. SbDV of both Y and D genotypes were later documented in other countries. For three decades, SbDV isolates were assessed to evaluate risk to U.

Hybrid Classical-Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays.

Cardiovascular diseases are among the major health problems that are likely to benefit from promising developments in quantum machine learning for medical imaging. The chest X-ray (CXR), a widely used modality, can reveal cardiomegaly, even when performed primarily for a non-cardiological indication. Based on pre-trained DenseNet-121, we designed hybrid classical-quantum (CQ) transfer learning models to detect cardiomegaly in CXRs.

Screen for New Antimicrobial Natural Products from the NCI Program for Natural Product Discovery Prefractionated Extract Library.

The continuing emergence of antibiotic-resistant microbes highlights the need for the identification of new chemotypes with antimicrobial activity. One of the most prolific sources of antimicrobial molecules has been the systematic screening of natural product samples. The National Institute of Allergy and Infectious Diseases and the National Cancer Institute here report a large screen of 326,656 partially purified natural product fractions against a panel of four microbial pathogens, resulting in the identification of >3000 fractions with antifungal and/or antibacterial activity.

Joint-level coordination patterns for split-belt walking across different speed ratios.

Locomotion is a highly flexible process, requiring rapid changes to gait due to changes in the environment or goals. Here, we used a split-belt treadmill to examine how the central nervous system coordinates a novel gait pattern. Existing research has focused on summary measures, most often step lengths, when describing changes induced while walking on the split-belt treadmill and during subsequent aftereffects.

A Student-Centered, Entrepreneurship Development (ASCEND) Undergraduate Summer Research Program: Foundational Training for Health Research.

Increasing the participation of students of African descent and other minoritized populations in the scientific workforce is imperative in generating a more equitable biomedical research infrastructure and increasing national research creativity and productivity. Undergraduate research training programs have shown to be essential tools in retaining underrepresented minority (URM) students in the sciences and attracting them into STEM and biomedical careers. This paper describes an innovative approach to harness students' entrepreneurial desire for autonomy and creativity in a Summer Research Institute (SRI) that has served as an entry point into a multiyear, National Institutes of Health Building Infrastructure Leading to Diversity (NIH BUILD)-funded research training program.

Social connectedness, mindfulness, and coping as protective factors during the COVID-19 pandemic.

The COVID-19 pandemic has had an unprecedented psychological impact, revealing immense emotional disturbances among the general population. This study examined the extent to which social connectedness, dispositional mindfulness, and coping moderate symptoms of anxiety and depression in 1242 adults under the same government-issued COVID-19 stay-at-home mandate. Participants completed measures of anxiety, depression, dispositional mindfulness, social connectedness, and coping, and regression analyses were used to examine associations and interaction effects.

Psychological impact of coronavirus disease 2019 (COVID-19) social distancing mandates on trauma survivors.

Objective: Despite recognition that coronavirus disease 2019 (COVID-19) pandemic created an unprecedented impact on global mental health, information on the psychological health among trauma survivors during the COVID-19 pandemic is rare. We sought to examine psychological outcomes among individuals with preexisting traumatic experiences during COVID-19.

Methods: We sampled 1 242 adults in the mid-Atlantic region of the United States under a state-issued Phase 1 stay-at-home mandate to examine associations between pre-pandemic trauma exposure as measured by the Brief Trauma Questionnaire (BTQ) and anxiety and depression, as measured by the Patient Reported Outcome Scale Anxiety and Depression (PROMIS-A and PROMIS-D).

Top-down regulation of hemlock woolly adelgid (Adelges tsugae) in its native range in the Pacific Northwest of North America.

The density of insect herbivores is regulated by top-down factors (e.g., natural enemies), bottom-up effects (e.

The perceived costs and benefits of mentoring college students with intellectual disability on stereotype consistent and inconsistent tasks.

Background: According to the stereotype content model, individuals with intellectual disability are perceived as having greater warmth-related traits (e.g. sociable and humorous) and fewer competence-related traits (e.

Making Cities Smarter-Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints.

One of the prime aims of smart cities has been to optimally manage the available resources and systems that are used in the city. With an increase in urban population that is set to grow even faster in the future, smart city development has been the main goal for governments worldwide. In this regard, while the useage of Artificial Intelligence (AI) techniques covering the areas of Machine and Deep Learning have garnered much attention for Smart Cities, less attention has focused towards the use of combinatorial optimization schemes.

Enumeration of Public Health Nurses in the United States: Limits of Current Standards.

Recent national initiatives in nursing and public health have emphasized the need for a robust public health nursing (PHN) workforce. In this article, we analyze the extent to which recent national enumeration surveys base their counts of this workforce on the definitions, scope, and standards for practice and practice competencies of the PHN nursing specialty. By and large, enumeration surveys continue to rely on practice setting to define the PHN workforce, which is an insufficient approach for meeting the goals of major nursing and public health initiatives.