University of Central Arkansas
  • Conway, United States
Recent publications
Public service psychologists engage their research competencies to explore the psychological health needs of underserved populations and the justice systems that deliver them psychological services. In late June 2023. the Criminal Justice Section of Division 18 of the American Psychological Association cosponsored the Fifth North American Correctional and Criminal Justice Psychology Conference: Towards a Justice System That Works, Toronto, Canada. This is the fourth time our journal, Psychological Services, has engaged to develop a section of peer-reviewed articles from the original empirical research presented at the North American Correctional and Criminal Justice Psychology Conference. Supplemented with additional justice-related articles featuring a theme of responsivity, this brief introduction outlines the importance of responsivity research—knowledge that informs unique aspects of a subpopulation so clinicians might better inform the services they deliver. Articles span a range of justice settings domestically and internationally and examine issues of gender, ethnicity, and the workforce to increase the empirically informed responsivity factors that deepen provider understandings of treatment needs.
The removal of riparian shading alters stream biogeochemical cycling by stimulating algal biofilms through the release of light limitation. Few studies have examined the combined effects of shading and biofilm growth on ammonium (NH4⁺–N) and nitrate (NO3⁻–N) removal in the same experiment. We quantified water column NH4⁺–N and NO3⁻–N removal using n = 176 short‐term additions in four experimental streams over 2 years and assessed the influence of shading (shaded vs. open canopy) and biofilm colonization (early vs. late) on removal using a Bayesian three‐level hierarchical model. First, we assessed the roles of biofilm and shade on NH4⁺–N removal. Shading lowered NH4⁺–N uptake velocity [Vf; slope: −0.45 (−0.69, −0.22)], while the effect of biofilm was too small to detect [0.06 (−0.18, 0.29)]. The following season, we compared NH4⁺–N and NO3⁻–N removal, and added night releases to estimate autotrophic and heterotrophic contributions to removal. Shading reduced NH4⁺–N and NO3⁻–N Vf, while the effect of biofilm often depended on shading. NH4⁺–N Vf was higher than NO3⁻–N Vf by 51% during the day and 38% at night, confirming preferential NH4⁺–N removal. NO3⁻–N Vf declined more between the Late‐Open and Late‐Shade phases compared to NH4⁺–N, suggesting a stronger decline in NO3⁻–N demand than for NH4⁺–N with shade during late biofilm colonization. We found no strong diel shift in NH4⁺–N or NO3⁻–N demand. Results demonstrate the primacy of light on NH4⁺–N and NO3⁻–N removal in streams. Understanding how shading and biofilm colonization alter removal is critical as streams are vulnerable to the impacts of land use change.
Interprofessional education (IPE) benefits are well-established, yet methods for implementing such programs vary greatly. This study compares infrastructure, curriculum, evaluation procedures, and insights from over a decade of IPE implementation at two institutions. Both saw evolution of common curriculum frameworks and evaluation metrics. However, a centralized administrative approach outperformed a grassroots approach for developing capacity for IPE uptake, as indicated by higher scores on the Interprofessional Education Collaborative (IPEC) Institutional Assessment Instrument. These experiences facilitated formation of a statewide IPE consortium. The authors urge others to consider these findings when implementing IPE curricula, contributing to the collective knowledge base on effective IPE models.
The sorghum [Sorghum bicolor (L.) Moench ssp. bicolor] germplasm lines Tx3499–Tx3503 (Reg. no. GP‐948–Reg. no. GP‐952, PI 706257–PI 706261) were developed by the Texas A&M AgriLife Research sorghum breeding program in 2024. These lines are resistant to acetyl‐coenzyme A carboxylase (ACCase)‐inhibiting herbicides used for post‐emergence control of common grass weeds. Genetic resistance to aryloxyphenoxypropionate and phenylpyrazoline class herbicides was introgressed into Tx3499–Tx3503 from a donor line that contained a single partially dominant gene. These lines represent diverse pedigrees and an array of combinations of grain color, plant color, maintenance of sterility or restoration of fertility to A1 male‐sterile cytoplasm, as well as other agronomic traits. They provide the sorghum industry with sources of resistance to ACCase‐inhibiting herbicides in elite backgrounds for use as seed and pollinator parent germplasm.
A new proliferation of optical instruments that can be attached to towers over or within ecosystems, or ‘proximal’ remote sensing, enables a comprehensive characterization of terrestrial ecosystem structure, function, and fluxes of energy, water, and carbon. Proximal remote sensing can bridge the gap between individual plants, site‐level eddy‐covariance fluxes, and airborne and spaceborne remote sensing by providing continuous data at a high‐spatiotemporal resolution. Here, we review recent advances in proximal remote sensing for improving our mechanistic understanding of plant and ecosystem processes, model development, and validation of current and upcoming satellite missions. We provide current best practices for data availability and metadata for proximal remote sensing: spectral reflectance, solar‐induced fluorescence, thermal infrared radiation, microwave backscatter, and LiDAR. Our paper outlines the steps necessary for making these data streams more widespread, accessible, interoperable, and information‐rich, enabling us to address key ecological questions unanswerable from space‐based observations alone and, ultimately, to demonstrate the feasibility of these technologies to address critical questions in local and global ecology.
In Salt of the earth: Rhetoric, preservation, and white supremacy , James Chase Sanchez examined rhetorical processes that sustain white supremacy: identity construction, storytelling, and silencing. This cultural rhetorics project used narrative inquiry, autoethnography, and constellation to explore "hegemonic storytelling" (p. 47--48). Sanchez centered narratives about growing up "Brown" (p. 10) in Grand Saline, Texas and returning to his hometown years later to create a documentary film, Man on Fire , about minister Charles Moore's self-immolation in a local parking lot. Ultimately, Sanchez argued that a deeper understanding of oppressive rhetorics is useful for rhetorical scholars, communications practitioners, and storytellers of all types (historians, journalists, filmmakers, archivists, etc.). He guided rhetoric and communications design towards more thoughtful consideration of embedded communicative norms and the harmful practices they conceal.
Type-2-diabetes is a protein misfolding disorder where aberrantly secreted islet amyloid polypeptide (IAPP) oligomerizes and participates in the pathology. The oligomeric stage is toxic but transitory and leads to formation of mature amyloid fibrils. The pathological specifics of mature amyloid fibrils are poorly understood. Here, we demonstrate that IAPP amyloids make a gel-like transition, increasing the viscosity of the microenvironment, encasing and impeding islet-β cells in their ability to sense glucose and release insulin. Using dual-targeted gold nanoparticles (AuNPs) capped with amyloid-fragments of βCasein and anti-IAPP antibodies, we show that X-ray irradiation of AuNPs when bound to IAPP amyloids results in therapeutic remodelling of IAPP amyloids, a reduction in viscosity of the solution, and restoration of glucose/insulin homeostasis. This study establishes that mature IAPP amyloids can participate in progressive pathology of type-2-diabetes by suppressing insulin responsiveness at single islet-cell level. It also identifies a therapeutic model of reversal using AuNPs-mediated X-ray therapy, a novel approach that can be rationally expanded to other amyloid pathologies, such as Alzheimer’s and Parkinson’s diseases.
A liquid crystal (LC)‐based sensing platform for the rapid optical detection of SARS‐CoV‐2′s spike protein's receptor binding domain (RBD) domain is introduced. This platform utilizes a thermotropic LC, hosted on metal‐cation decorated substrates, onto which the spike protein can competitively bind. Density functional theory (DFT) calculations guide the experiments that reveal a homeotropic‐to‐planar transition in the LCs upon exposure to SARS‐CoV‐2 spike‐decorated yeast, providing a basis for sensitive virus detection. The sensor's reversibility/specificity is confirmed through antibody‐induced orientation recovery of the LCs initial orientation. Strikingly, the sensor can detect ≈2000 copies of the spike protein per mL, which is well below the typical concentration of the virus in the saliva of an infected human (10⁴ copies per mL)‐ revealing the practical applicability of the sensor. More broadly, it describes the design principles of the DFT‐guided LC‐based competitive binding platform for the detection of previously unknown pathogens for which antibody‐based detection mechanisms may not be readily available.
This project aims to develop an innovative technique for detecting water stress in tomato plants using deep learning and image processing techniques, and to integrate it into a mobile application for real-time monitoring. The methodology adopted includes the acquisition and preprocessing of image data, the construction and training of a deep learning model, and the development of a user-friendly mobile application. The results show a promising performance of the model in the precise detection of water stress, confirming the usefulness and usability of the developed mobile application.
Environmental monitoring plays a crucial role in various domains, including agriculture, healthcare, and manufacturing, where optimal environmental conditions are essential for productivity and safety. In this project, we present a smart environmental monitoring system that leverages IoT (Internet of Things) technology and data analytics to monitor temperature and humidity levels in real-time. The system consists of a network of sensor nodes deployed in the target environment, comprising ESP32 microcontrollers and DHT11 sensors for data collection. The sensor nodes transmit data using the MQTT (Message Queuing Telemetry Transport) protocol to a cloud-based MQTT Broker hosted on HiveMQ Cloud. Data processing and visualization are handled by Node-RED, which subscribes to MQTT topics, processes incoming data streams, and stores them in a time-series database, InfluxDB Cloud. The collected data is then visualized in real-time using Grafana dashboards, which are embedded within a Flask web application, providing stakeholders with seamless access to actionable insights into environmental conditions. The smart environmental monitoring system offers numerous benefits, including improved decisionmaking, proactive maintenance, and enhanced productivity. Future enhancements could include the integration of additional sensors and the application of machine learning algorithms for predictive analytics. Overall, the project demonstrates the potential of IoT and data analytics in addressing real-world challenges related to environmental monitoring.
This article explores several classical techniques of facial recognition, assessing their suitability for real-time embedded systems such as digital cameras. It also includes a thorough discussion on the training requirements for various facial recognition methods. Addressing mounting concerns in security and surveillance, this project aims to develop an advanced facial recognition system using a 2D detection approach. Leveraging the Intel RealSense 415 camera connected to a Raspberry Pi 3. An introduction to Haar Cascading models is provided, highlighting their advantages, particularly their ability to ensure acceptable levels of accuracy for facial recognition in unseen image collections. Lastly, the article offers a detailed description and implementation of a functional platform, accompanied by preliminary results.
In Salt of the earth: Rhetoric, preservation, and white supremacy , James Chase Sanchez examined rhetorical processes that sustain white supremacy: identity construction, storytelling, and silencing. This cultural rhetorics project used narrative inquiry, autoethnography, and constellation to explore "hegemonic storytelling" (p. 47--48). Sanchez centered narratives about growing up "Brown" (p. 10) in Grand Saline, Texas and returning to his hometown years later to create a documentary film, Man on Fire , about minister Charles Moore's self-immolation in a local parking lot. Ultimately, Sanchez argued that a deeper understanding of oppressive rhetorics is useful for rhetorical scholars, communications practitioners, and storytellers of all types (historians, journalists, filmmakers, archivists, etc.). He guided rhetoric and communications design towards more thoughtful consideration of embedded communicative norms and the harmful practices they conceal.
We examine how powerful CFOs influence investment efficiency, addressing the gap in research on the role of CFO power in corporate financial decisions. Existing literature primarily focuses on CEO power, often highlighting its contribution to overinvestment, but the impact of CFO power is less understood. Using data from S&P 1500 firms from 2001–2019, we assess the relationship between CFO power and investment outcomes. Our results indicate that powerful CFOs tend to adopt conservative investment strategies, leading to underinvestment and negatively impacting investment efficiency. These results highlight the significant role of CFOs in shaping corporate investment policies and suggest that the power dynamics within the executive team can critically influence firm outcomes.
Perennial crops are thought as a solution for enhancing food security and providing ecosystem services under a changing climate, including forage‐biomass production, reduced erosion and nutrient leaching, and soil C accumulation. However, the drivers of root decomposition and C allocation in perennial multifunctional forage‐biomass buffer‐strips as affected by fertility management are poorly elucidated. Thus, study objectives were to assess root decomposition and soil CO2 efflux on switchgrass (Panicum virgatum L.), eastern gamagrass (Tripsacum dactyloides L.), silphium (Silphium integrifolium Michx.), and intermediate wheatgrass Kernza (Thinopyrum intermedium [Host] Barkworth & D.R. Dewey) treated with poultry litter (PL) relative to the unfertilized control. Root mass loss was greatest for silphium, owing to low neutral and acid detergent fibers and lignin contents (6%) relative to the other species (16%–25%). Root‐C loss was the greatest for intermediate wheatgrass (IW), mostly driven by hemicellulose degradation. Low root mass, surface area, and volume likely enhanced root decomposition for silphium and IW. Root mass loss and C, N, and P mineralization for novel perennial buffer‐strip species were greater in PL plots. Soil organic C stocks were mostly similar across forage‐biomass species × amendment combinations. Silphium‐PL had 27%–50% greater SOC stocks after 4 years, owing to higher root sloughing and C inputs to soil. Root decomposition rates were primarily affected by root chemical composition and morphology, while soil CO2 efflux was driven by soil moisture and temperature. Greater root sloughing, C inputs, and nutrient cycling showcase the potential for C storage and multiple purposes of novel perennial buffer‐strips.
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2,262 members
Stephen R Addison
  • Department of Physics and Astronomy
R.B. Lenin
  • Department of Mathematics
James Brodman
  • Department of History
Ron Bramlett
  • Department of Psychology and Counseling
Chenyi Hu
  • Department of Computer Science
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Conway, United States