Florida Atlantic University
  • Boca Raton, Florida, United States
Recent publications
Background Intravitreal injections (IVIs), a common treatment in ophthalmology, result in acute complications and urgent follow-up visits causing significant burden to both patient and physician. We evaluated the incidence of acute complications following IVIs which occurred within seven days of injection. Methods A retrospective cohort study conducted at a private retinal practice, in Cleveland, Ohio. Using the practice management software database, we examined 73,286 injections of patients with unscheduled or urgent visits within 7 days of an injection from August 1st,2018 to August 1st,2020. Data collected included: age, gender, eye, medication injected, diagnosis, reason for urgent follow-up, time between injection and urgent follow-up, and type of anesthesia administered. Data was analyzed using SPSS v.28 (SPSS Inc., Chicago IL). Results Study included 73,286 injections, with 441 injections (n = 441) resulting in urgent follow-up visits (0.60%). Mean patient age was 72.1 (± 30.4) years, with 187 male (42.4%) and 254 female (57.6%) patients. IVI medications included: aflibercept (60.3%), ranibizumab (22.4%), bevacizumab (13.4%), dexamethasone intravitreal implant (2%), triamcinolone acetonide (1.6%) brolucizumab (1.59%), fluocinolone acetonide intravitreal implant 0.19 mg (0.2%), and fluocinolone acetonide intravitreal implant 0.18 mg (0.03%) (Table 1). Medications associated with urgent visits included: aflibercept (42.9%), bevacizumab (37.4%), ranibizumab (7.9%), dexamethasone intravitreal implant (6.8%), brolucizumab (2.7%), and triamcinolone acetonide (2.3%) (Table 2). Days between injection and urgent follow-up was on average 3.96 ± 2.14 days. Urgent follow-ups included blurred vision in 164 patients (37.2% of urgent visits), flashes, floaters or posterior vitreous detachment (PVD) in 55 (12.5%), pain in 42 (9.5%), 43 (9.8%) corneal abrasions, 33 (7.5%) subconjunctival hemorrhages, corneal dryness or foreign body sensation in 30 (6.6%), endophthalmitis in 20 (4.5%), 18 (4.1%)vitreous hemorrhages, iritis or uveitis in 11 (2.5%), miscellaneous complications in 9 (2.0%), 7 (1.6%) elevated intraocular pressures, choroidal neovascular membrane in 4 (0.9%), 4 (0.9%) retinal detachments or tears, and 2 (0.45%) traumatic cataracts (Table 3). Conclusion IVIs resulted in 0.60% urgent/unscheduled follow-up visits within 7 days of injection. Most common causes were blurred vision and symptoms of PVD.
During the initial stages of software development, the primary goal is to define precise and detailed requirements without concern for software realizations. Security constraints should be introduced then and must be based on the semantic aspects of applications, not on their software architectures, as it is the case in most secure development methodologies. In these stages, we need to identify threats as attacker goals and indicate what conceptual security defenses are needed to thwart these goals, without consideration of implementation details. We can consider the effects of threats on the application assets and try to find ways to stop them. These threats should be controlled with abstract security mechanisms that can be realized by abstract security patterns (ASPs) , that include only the core functions of these mechanisms, which must be present in every implementation of them. An abstract security pattern describes a conceptual security mechanism that includes functions able to stop or mitigate a threat or comply with a regulation or institutional policy. We describe here the properties of ASPs and present a detailed example. We relate ASPs to each other and to Security Solution Frames, which describe families of related patterns. We show how to include ASPs to secure an application, as well as how to derive concrete patterns from them. Finally, we discuss their practical value, including their use in “security by design” and IoT systems design.
Approximate dynamic programming (ADP) is a promising approach for power system scheduling and dispatch under uncertainties. This paper presents an innovative ADP-based dispatch method for a microgrid with intermittent renewable generation, battery energy storage systems, and controllable distributed generators. The proposed ADP algorithm is based on a double-pass value iteration approach and takes advantage of the underlying properties of the microgrid dispatch problem. In the forward pass, decision variables are updated moving forward in time using an ε-greedy strategy to balance exploitation and exploration. In particular, an approximate optimization method is proposed to speed up exploitation. In addition to random exploration, a policy is designed to guide the algorithm to explore some promising solution space in a probabilistic manner. In the backward pass, the value function is updated moving backward in time using the trajectory of states, decisions, and outcomes of the sample path in the forward pass. The proposed method is evaluated through numerical experiments in both deterministic and stochastic environments. Case study results show that the proposed method demonstrates improved performance in both optimization gap and computation time in comparison to conventional methods.
Pediatricians recommend that parents read aloud to children, on the assumption that book reading during early childhood promotes language skills. However, it is not clear that children similarly profit from the practice, particularly those whose behavioral tendencies interfere with processes that leverage supportive environmental experiences into language gains. Participants in this two-wave longitudinal cohort study were 546 (282 boys, 264 girls) 4–5 year-olds enrolled in 24 population-based childcare centers in 13 municipalities across Denmark. Teachers administered standardized assessments of child language skills twice, approximately 6 months apart. At the outset, parents reported the frequency an adult read books to the child at home, and teachers assayed child conduct problems and hyperactivity. Results indicated that home book reading benefits were not uniformly distributed. Book reading predicted improvements in communication skills (β = 0.74) and language comprehension (β = 0.31), with the strongest effects for children with above average conduct problems (β = 0.88 to 1.72) and those with below average hyperactivity (β = 1.35).
Hypersalinity is a major stressor to seagrasses, particularly in highly evaporative coastal estuaries and lagoons as well as those subjected to brine effluent from desalination systems, a condition likely to be heightened under a warming climate. While hypersalinity has been well established to cause physiological dysfunction, the effects on internal seagrass pO2 and O2 flux to the water column has not been explicitly studied. We examined the pO2 across the leaf diffusive boundary layer and estimated O2 flux rates from T. testudinum leaves at 35, 45, 55, and 65 salinity in the light and dark using O2 microsensors. Leaf segments were used to examine photophysiological responses and leaves of shoots in intact cores with multiple shoots to evaluate internal leaf pO2 flux that incorporates whole-plant sinks. Steady-state pO2 levels internally and at the leaf surface were also quantified at light saturation and in the dark. We found hypersalinity (45–65) primarily affected the O2 dynamics of T. testudinum leaves in the light based on leaf segments and whole plants. Net and gross photosynthetic rates of leaf segments were significantly lower at 55 and 65 salinities compared to controls (35), and net photosynthesis at 65 salinity was significantly lower than at 55 salinity. In contrast, the light required to compensate for leaf respiration (Icomp) was not affected by hypersalinity, and photosynthetic efficiency was only significant between 35 and 55 salinities above compensation irradiances (Φ(I comp – 200)), suggesting lesser effects of hypersalinity on photosynthesis at low irradiance below compensation (0–50 μmol photon m⁻² s⁻¹). We propose that hypersalinity, particularly ≥55 causes photosynthetic dysfunction limiting leaf O2 production, specifically Pmax at high irradiance. Further, our data indicate that with increasing hypersalinity more of the O2 produced by leaves in intact shoots is consumed by meristems and/or belowground tissues and the sediment. These O2 sinks are likely more significant than O2 lost to leaf respiration (RD) that was not shown to increase with salinity in experiments using leaves in isolation. Thus, hypersalinity not only affects the physiology, growth and reproduction of seagrasses, but also their O2 balance. For seagrass species growing at their upper salinity thresholds, a management strategy that lowers hypersalinity exposure would limit loss of seagrasses to O2 imbalance from hypersalinity effects on photosynthesis and ecosystem O2 demand.
End-of-life is associated with several physical and existential challenges that may necessitate and yet limit intervention. However, there is limited scholarly exploration of various therapeutic techniques that support the unique individual and family needs that arise during this often-challenging time. This case study examines the use of narrative therapy techniques from a lens of illness-informed social work practice to provide examples of how this theoretical approach and its techniques can be helpful for clients and families at the end of their lives. In this case, narrative therapies, guided by a hospice social worker over a 2-year period, allowed a dying Holocaust survivor to experience less fear of death, depression, and regret, helping him to end his life with dignity and integrity. Implications for future practice and research are presented, which support the ability of this approach to meet the individual needs of such clients and their families and the need for more research to validate a narrative approach with end-of-life populations.
Retailers face many issues, some brought by immigration, such as managing and/or appealing to an increasingly diverse population and employees, and other factors such as shoplifting, the prevalence of which continues to grow worldwide. Adoption of the host culture, or acculturation, varies across immigrant groups, increasing the challenge of managing or appealing to ethnic groups. To this end, the aim of this study was to develop and test a framework for investigating perceptions of shoplifting and the effects of acculturation on these perceptions. To test the framework, we surveyed a panel of 651 Hispanic Americans and tested the hypotheses using partial least squares structural equation modelling. The study results indicate that as acculturation decreased, the Hispanics in this study perceived a greater possibility of shoplifting, which might have made them more watchful to prevent shoplifting than did the acculturated Hispanics. As retailers' labor forces and consumers become more diverse, it is recommended that retailers train their employees to be more aware of shoplifting possibilities while maintaining a welcoming and friendly retailing environment.
Scholars and industry stakeholders have exhibited an interest in identifying the underlying dimensions of viral memes. However, the recipe for creating a viral meme remains obscure. This study makes a phenomenological contribution by examining viral memes, exploring the antecedents (i.e., content‐related factors, customer‐related factors, and media‐related factors), consequences, and moderating factors using a mixed‐method approach. The study presents a holistic framework for creating viral memes based on the viewpoints of customers and industry stakeholders. Four quantitative studies (i.e., a lab experiment, an online quasi‐experiment, an event study, and a brand recall study) validate the theoretical model identified in the qualitative study. The research points to the potential of viral memes in marketing communications to enhance brand recall and brand engagement. The study found that viral memes are topical and highly relatable and are thus well received by the target groups, which increases customer engagement and brand recall. The marketers can adopt the findings of this study to design content for memes that consumers find relevant, iconic, humorous, and spreadable. Furthermore, marketers can use customer‐related factors suggested in the theoretical framework for enhancing escapism, social gratification, and content gratification for their target customers which in turn shall organically increase their reach within their target segments and enhance brand performance in terms of brand recall and brand engagement.
Parenting self-efficacy has been tied to myriad child outcomes during middle childhood and adolescence, directly and indirectly through parenting practices. The present study examines contemporaneous associations between parenting self-efficacy, parenting practices, and child outcomes during the preschool years in a community sample of 1455 Danish parents (76.7 % mothers) of 3–5-year-old children (49 % girls). Parents (M = 39.2 years old) completed a survey describing parenting self-efficacy and three facets of parenting practices: inductive reasoning, psychological control, and instrumental reward. Parents also described child adjustment in four domains: prosocial behavior, hyperactivity, conduct problems, and emotional problems. Results revealed direct concurrent associations between parenting self-efficacy and each child outcome, with greater efficacy tied to more prosocial behavior and less hyperactivity, conduct problems, and emotional problems. Parent psychological control mediated associations from parenting self-efficacy to child hyperactivity, conduct problems, and emotional problems. Inductive reasoning mediated associations from parenting self-efficacy to child prosocial behavior. Consistent with previous findings from older children, parental use of psychological control had debilitating consequences for preschool children. Inductive reasoning, in contrast, appeared to promote positive development.
Fishery management in Brazil has many challenges, including the engagement of fishers, building institutional (NGO, university, etc.) relationships to carry out research and provide key data for managers, and strengthening the capacity to articulate effective management strategies (policy institution). Here we report on recent work to address some of these challenges for the Atlantic tarpon (Megalops atlanticus) fishery in the Parnaiba Delta Protected Area. These include meetings to create inter-sector communication, citizen science and ethnobiology to support data collection and biological sampling, satellite tagging to discern tarpon movements, and the first data-limited stock assessment. The research occurred between September 2018 and April 2020 in the Parnaíba Delta and adjacent marine area, specifically in the Canárias Islands (MA), Pedra do Sal (PI), and Bitupitá (CE). Gonadosomatic indices (GSI > 5%) of female tarpon suggested that tarpon migrate to the Parnaíba Delta to spawn in the dry season (July–December). These GSI findings corresponded with the ethnobiology results in which the fishers confirmed more intense fishing effort in the dry periods due in part to the added value of the gonads. Satellite-tagged tarpon remained close to the Buraco and Boca da Barra fishery areas, thus, close to the Parnaíba Delta region. The information collected here will enhance the collaborative formulation of an unprecedented management plan for the tarpon fishery in this region.
The Comparative Functional Response Approach (CFRA) was developed to provide a practical methodology by which short-term experiments can be used to forecast the longer-term impacts of a potential invading consumer. The CFRA makes inferences about potential invader impact based on comparisons of the functional responses of invader and native consumers on native resources in a common experimental venue. Application of the CFRA and derivative approaches have proliferated since it was introduced in 2014. Here we examine the conceptual foundations of the CFRA within the context of basic Lotka–Volterra consumer-resource theory. Our goals are to assess whether core predictions of the CFRA hold within this framework, to consider the relative importance of background mortality and consumer assimilation efficiency in determining predator impact, and to leverage this conceptual framework to expand the discussion regarding stability and long term consumer and resource dynamics. The CFRA assertion that consumers with a higher functional response will have larger impacts on resources only holds as long as all other parameters are equal, but basic theory indicates that predator impacts on prey abundance and stability will depend more on variation in conversion efficiency and background mortality. While examination of the CFRA within this framework highlights limitations about its current application, it also points to potential strengths that are only revealed when a theoretical context is identified, in this case the implications for stability and conceptual links to competition theory.
The current paper used eye tracking to examine the influence of implicit racial bias on the visual examination and recognition of own- and other-race face identities. Implicit bias favoring the own-race group was not associated with differences in the amount of time spent looking at the internal features (i.e., right eye, left eye, nose, mouth) of other-race faces during an old/new identity recognition task. However, larger implicit biases favoring the own-race group was associated with longer total dwell times towards the internal features of own-race faces during the test phase of the identity recognition task. Regardless of implicit bias, adults generally showed an own-race advantage in their face recognition.
Hyperparameter tuning is the collection of techniques to discover optimal values for settings we supply to machine learning algorithms. Put another way, hyperparameters are not optimized by the algorithm. When researching Big Data, we face the dilemma of whether it will be useful to do hyperparameter tuning with the maximum possible amount of data. This is because hyperparameter tuning may consume far more resources than conducting a single experiment with default values for hyperparameters. Each combination of algorithm settings results in an additional experiment. Here, we show that hyperparameter tuning with all available data is beneficial in the scope of our experiments. We conduct experiments with three Big Data Medicare Insurance Claims datasets. The experiments are exercises in Medicare fraud detection. We show that for each dataset, we obtain better performance from LightGBM and CatBoost classifiers with tuned hyperparameters. Since some features of the data we are working with are high cardinality categorical features, we have an opportunity to try different encoding techniques in our experiments. We find that across the different encoding techniques, hyperparameter tuning Provides an improvement in the performance of both LightGBM and CatBoost.
Biomedical signal processing and data analysis play pivotal roles in the advanced medical expert system solutions. Signal processing tools are able to diminish the potential artifact effects and improve the anticipative signal quality. Data analysis techniques can assist in reducing redundant data dimensions and extracting dominant features associated with pathological status. Recent computational methods have greatly improved the effectiveness of signal processing and data analysis, to support the efficient point-of-care diagnosis and accurate medical decision-making. This editorial article highlights the research works published in the special issue of Computational Methods for Physiological Signal Processing and Data Analysis. The context introduces three deep learning applications in epileptic seizure detection, human exercise intensity analysis, and lung nodule CT image segmentation, respectively. The article also summarizes the research works on detection of event-related potential in the single-trial electroencephalogram (EEG) signals during the auditory tests, along with the methodology on estimating the generalized exponential distribution parameters using the simulated and real data produced under the Type I generalized progressive hybrid censoring schemes. The article concludes with perspectives and discussions on future trends in biomedical signal processing and data analysis technologies.
Although the cause for the rise in melanoma incidence remains a topic of debate, its potentially aggressive nature necessitates a continual update on the pathophysiologic mechanisms of disease and current guidelines for management. Akin to other cutaneous malignancies, sun exposure remains a crucial risk factor in the development of different melanoma subtypes. There are specific non‐UV associated mutations that are commonly found in most melanomas and some nevi, such as B‐RAF V600E, that may represent an initial insult of a multistep process that eventually leads to progression of the lesion into a more aggressive phenotype. The standard of care for early melanoma management remains surgical excision with wide margins, however management changes with more advanced lesions by the addition of imaging, sentinel lymph node biopsies, genetic testing, immune, and targeted therapy. Different novel treatment regimens for advanced unresectable melanomas are being investigated with the use of targeted therapies and vaccines. Novel screening technology using artificial intelligence for detection of melanoma is currently being developed but remains in its early stages with its effectiveness being significantly lower compared to clinicians. As such, melanoma prevention and early detection through skin examinations remain crucial to avoid potentially deadly complications from more advanced lesions.
The ability of sea turtle hatchlings to survive into adulthood is related, in part, to their individual health status. Documenting a variety of health data is essential for assessing individual and population health. In this study, we report health indices for 297 green sea turtle (Chelonia mydas) hatchlings that emerged from 32 nests deposited on Juno Beach, Florida, USA in June–July, 2017. Results of physical examination, morphometrics, and infectious disease testing (chelonid alphaherpesvirus 5, ChHV5), and blood analyte reference intervals (hematology, plasma protein, glucose) are presented. Carapacial scute abnormalities were observed in 36% (108/297) of all hatchlings, including abnormal vertebral (86/297, 29%), lateral (72/297, 24%), and both vertebral and lateral (50/297, 17%) scutes. Hatchlings from nests laid in July, which was ~ 1.6 °C warmer than June, had significantly shorter incubation periods, and higher body mass, straight carapace length, body condition index, packed cell volume, and heterophil:lymphocyte ratios compared to hatchlings from nests laid in June. These results suggest that incubation temperatures are linked to hatchling developmental factors and size, nutritional and/or hydration status, and/or blood cell dynamics. Blood samples from all 297 hatchlings tested negative for ChHV5 DNA via quantitative PCR, including 86 hatchlings from the nests of 11 adult females that tested positive for ChHV5 via qPCR or serology in a separate study, lending support to the hypothesis that ChHV5 is horizontally (rather than vertically) transmitted among green turtles. Information resulting from this study represents a useful dataset for comparison to future health assessment and population monitoring studies of green turtle hatchlings in the northwestern Atlantic Ocean.
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7,072 members
Rebel Allen Cole
  • Department of Finance
Mustafa Kavutcu
  • Department of Biomedical Science
Dibakar Saha
  • School of Urban and Regional Planning
Robert Stackman Jr
  • Department of Psychology
Luisa Galgani
  • Harbor Branch Oceanographic Institute
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Head of institution
John Kelly
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http://www.fau.edu/
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