Bowie State University

Social workers working with foster youth aging out of placement often experience barriers in referring such youth to housing, mental health, and other services. This qualitative research study explored service barriers social workers encountered while working with their foster clients aging out of placement in the US Virgin Islands. Data collection consisted of narrative interviews with social workers from a single government agency. Social workers (n = 6) from the islands of St. Croix and St. Thomas in the Virgin Islands, discussed the challenges they encountered while working with their foster clients aging out of placement. Participants identified the following barriers to services: lack of family support/community involvement, lack of housing, youths’ lack of intellectual capacity/independent living skills, lack of training/employment opportunities for youth, services not suited for adolescents, and lack of funding. These findings may inform targets for future intervention and influence the foster care system to provide more supportive resources to social workers and clients. Practitioners and policymakers should consider implementing further practices that promote positive development for these youth and reduce the number of adolescents aging out of the foster care system without supportive resources.

As Artificial Intelligence (AI) systems become increasingly embedded in our daily lives, it is of utmost importance to ensure that they are both fair and reliable. Regrettably, this is not always the case for predictive policing systems, as evidence shows biases based on age, race, and sex, leading to wrongful identifications of individuals as potential criminals. Given the existing criticism of the system’s unjust treatment of minority groups, it becomes essential to address and mitigate this concerning trend. This study delved into the infusion of domain knowledge in the predictive policing system, aiming to minimize prevailing fairness issues. The experimental results indicate a considerable increase in fairness across all metrics for all protected classes, thus fostering greater trust in the predictive policing system by reducing the unfair treatment of individuals.

Carotenoid-dependent ornaments can reflect animals’ diet and foraging behaviors. However, this association should be spatially flexible and variable among populations to account for geographic variation in optimal foraging behaviors. We tested this hypothesis using populations of a marine predator (the brown booby, Sula leucogaster) that forage across a gradient in ocean depth in and near the Gulf of California. Specifically, we quantified green chroma for two skin traits (foot and gular color) and their relationship to foraging location and diet of males, as measured via global positioning system tracking and stable carbon isotope analysis of blood plasma. Our three focal colonies varied in which foraging attributes were linked to carotenoid-rich ornaments. For gular skin, our data showed a shift from a benthic prey-green skin association in the shallow waters in the north to a pelagic prey-green skin association in the deepest waters to the south. Mean foraging trip duration and distance of foraging site from coast also predicted skin coloration in some colonies. Finally, brown booby colonies varied in which trait (foot versus gular skin color) was associated with foraging metrics. Overall, our results indicate that male ornaments reflect quality of diet and foraging–information that may help females select mates who are adapted to local foraging conditions and therefore, are likely to provide better parental care. More broadly, our results stress that diet-dependent ornaments are closely linked to animals’ environments and that we cannot assume ornaments or ornament signal content are ubiquitous within species, even when ornaments appear similar among populations.

Gaining a comprehensive understanding of the chronology of events and digital artifacts, particularly within the realm of social media, presents a formidable challenge in digital forensics. This demanding endeavor necessitates the scrutiny of vast volumes of events, largely due to the rapid proliferation of the internet, interconnected devices, and cutting-edge technologies in today’s world. As the prevalence of storage devices surges and digital handheld devices in the Internet of Things (IoT) continues to gain popularity, the task of conducting digital forensic timeline analyses is progressively growing more complex, particularly for upcoming generations of Internet users. Given a case study, we reconstruct digital evidence based on timeline and links analysis. The preliminary results help digital experts to recover the case investigation in a fast way.

Fungal endophytes are pivotal components of a plant's microbiome, profoundly impacting its health and fitness. Yet, myriad questions remain concerning the intricate interactions between these microorganisms and their hosts, particularly in the context of agriculturally important plants such as Coffea arabica. To bridge this knowledge gap and provide a comprehensive framework, this study investigated how farming practices shape the taxonomic and functional diversity of phylloplane endophytes in coffee. Coffee plant leaves from two distinct producing regions in Costa Rica were sampled, ensuring the representation of various coffee varieties (Obatá, Catuaí, and Caturra), agricultural management methods (organic vs. conventional), sun exposure regimes (full sunlight/monoculture vs. natural shade/agroforestry), and leaf developmental stages (newly emerged asymptomatic vs. mature leaves). Fungal communities were characterized by employing both culture‐dependent and independent techniques (internal transcribed spacer 2 nuclear ribosomal DNA metabarcoding). The results showed a greater diversity of endophytes in mature leaves and conventionally managed plants, with coffee variety exerting an unclear influence. The effect of sun exposure was surprisingly negligible. However, data emphasize the benefits of agroforestry and organic farming, which are linked to reduced putative pathogens and heightened levels of potentially mutualistic fungi, fostering functionally diverse communities. Despite the role that plant microbiomes might play in agricultural production, the knowledge to shape endophytic communities through breeding or management is lacking. The results from this study provide a framework to understand how both plant and agricultural practices influence endophyte diversity within coffee crops. These insights hold promise for guiding future efforts to manipulate coffee microbial communities effectively.

microbeMASST, a taxonomically informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbe-derived metabolites and relative producers without a priori knowledge will vastly enhance the understanding of microorganisms’ role in ecology and human health.

The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past decade, the introduction of ChatGPT sparked a new wave of research and innovation in the Artificial Intelligence (AI) domain. This surge has led to the development and release of numerous cutting-edge tools, such as Bard, Stable Diffusion, DALL-E, Make-A-Video, Runway ML, and Jukebox, among others. These tools exhibit remarkable capabilities, encompassing tasks ranging from text generation and music composition, image creation, video production, code generation, and even scientific work. They are built upon various state-of-the-art models, including Stable Diffusion, transformer models like GPT-3 (recent GPT-4), variational autoencoders, and generative adversarial networks. This advancement in GAI presents a wealth of exciting opportunities across various sectors, such as business, healthcare, education, entertainment, and media. However, concurrently, it poses unprecedented challenges such as impersonation, job displacement, privacy breaches, security vulnerabilities, and misinformation. To addressing these challenges requires a new direction for research to develop solutions and refine existing products. In our endeavor to contribute profound insights to society and advance research on GAI, we present a comprehensive journal which explores the theoretical and mathematical foundations of GAI state-of-the-art models, exploring the diverse spectrum of tasks they can perform, examining the challenges they entail, and discussing the promising prospects for the future of GAI.

Trichoderma is a cosmopolitan genus with diverse lifestyles and nutritional modes, including mycotrophy, saprophytism, and endophytism. Previous research has reported greater metabolic gene repertoires in endophytic fungal species compared to closely-related non-endophytes. However, the extent of this ecological trend and its underlying mechanisms are unclear. Some endophytic fungi may also be mycotrophs and have one or more mycoparasitism mechanisms. Mycotrophic endophytes are prominent in certain genera like Trichoderma , therefore, the mechanisms that enable these fungi to colonize both living plants and fungi may be the result of expanded metabolic gene repertoires. Our objective was to determine what, if any, genomic features are overrepresented in endophytic fungi genomes in order to undercover the genomic underpinning of the fungal endophytic lifestyle. Here we compared metabolic gene cluster and mycoparasitism gene diversity across a dataset of thirty-eight Trichoderma genomes representing the full breadth of environmental Trichoderma ’s diverse lifestyles and nutritional modes. We generated four new Trichoderma endophyticum genomes to improve the sampling of endophytic isolates from this genus. As predicted, endophytic Trichoderma genomes contained, on average, more total biosynthetic and degradative gene clusters than non-endophytic isolates, suggesting that the ability to create/modify a diversity of metabolites potential is beneficial or necessary to the endophytic fungi. Still, once the phylogenetic signal was taken in consideration, no particular class of metabolic gene cluster was independently associated with the Trichoderma endophytic lifestyle. Several mycoparasitism genes, but no chitinase genes, were associated with endophytic Trichoderma genomes. Most genomic differences between Trichoderma lifestyles and nutritional modes are difficult to disentangle from phylogenetic divergences among species, suggesting that Trichoderma genomes maybe particularly well-equipped for lifestyle plasticity. We also consider the role of endophytism in diversifying secondary metabolism after identifying the horizontal transfer of the ergot alkaloid gene cluster to Trichoderma .

In this study, we investigated the microbial diversity and community composition of soil samples collected from various sites along the Potomac River within an urbanized region. The study integrates microbial analysis into an undergraduate chemistry curriculum, bridging theoretical education with practical, real-world applications. Our findings revealed the presence of both typical marine soil bacteria and bacterial taxa indicative of urbanization and waste runoff. Notably, the identified taxa shared among all samples demonstrated a strong presence of Burkholderiaceae , Nitrosomonadaceae , and Pedosphaeraceae , which are associated with agricultural pollution, organochlorine pesticide contamination, and bromochloromethane pollution. We observed significant variations in microbial community diversity across different sampling sites, emphasizing the influence of environmental factors on microbial abundance and diversity. These insights carry significant implications for understanding the consequences of urbanization on soil microbial communities along the Potomac River and can inform strategies for managing and preserving these ecosystems. Further research is warranted to elucidate the effects of soil health and microbial diversity in this region. IMPORTANCE This study integrates microbial analysis into an undergraduate chemistry class, offering students a hands-on approach to environmental research. We examined the soil along the urbanized Potomac River, discovering a mix of common marine microbes and others that are indicators of urban waste and pollution. Our findings provide valuable insights into the environmental impacts of urbanization on soil health and reveal the effectiveness of using modern genetic tools to teach students about real-world issues. This innovative educational approach not only deepens students’ understanding of chemistry and ecology but also prepares them to be thoughtful, informed participants in addressing contemporary environmental challenges while shedding light on the state of the soil microbiome near and around the DC metro area.

In this note we publish a short letter from Leonhard Euler’s son, Johann Albrecht Euler, the Secretary of the Imperial Academy in St. Petersburg, to Marcin Poczobutt-Odlanicki, the Vilnius astronomer. The fate of this letter seemed unknown, but we know its content now. The main news in this correspondence was the discovery of a comet by the astronomer Anders Johan Lexell.

This article shares how three African‐centered Black men partnered with a school system to develop and implement an Africentric rites of passage program for seventh‐ and eighth‐grade Black male students. The proposed school‐based intervention aimed to socialize, educate, and cultivate Black boys in preparation for manhood. Theoretically, the conceptual framework was anchored in African paradigms from Afrocentricity, Kawaida, and Pan‐Africanism. The authors provided an overview of the program, which included the program structure, activities, and events. We concluded with a discussion of program challenges and recommendations for future research and program implementation.