1,252 results on '"P. Lenhart"'
Search Results
2. Large Language Models as a Tool for Mining Object Knowledge
- Author
-
An, Hannah YoungEun and Schubert, Lenhart K.
- Subjects
Computer Science - Artificial Intelligence ,Computer Science - Computation and Language - Abstract
Commonsense knowledge is essential for machines to reason about the world. Large language models (LLMs) have demonstrated their ability to perform almost human-like text generation. Despite this success, they fall short as trustworthy intelligent systems, due to the opacity of the basis for their answers and a tendency to confabulate facts when questioned about obscure entities or technical domains. We hypothesize, however, that their general knowledge about objects in the everyday world is largely sound. Based on that hypothesis, this paper investigates LLMs' ability to formulate explicit knowledge about common physical artifacts, focusing on their parts and materials. Our work distinguishes between the substances that comprise an entire object and those that constitute its parts$\unicode{x2014}$a previously underexplored distinction in knowledge base construction. Using few-shot with five in-context examples and zero-shot multi-step prompting, we produce a repository of data on the parts and materials of about 2,300 objects and their subtypes. Our evaluation demonstrates LLMs' coverage and soundness in extracting knowledge. This contribution to knowledge mining should prove useful to AI research on reasoning about object structure and composition and serve as an explicit knowledge source (analogous to knowledge graphs) for LLMs performing multi-hop question answering.
- Published
- 2024
3. Language Models Benefit from Preparation with Elicited Knowledge
- Author
-
Yu, Jiacan, An, Hannah, and Schubert, Lenhart K.
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
The zero-shot chain of thought (CoT) approach is often used in question answering (QA) by language models (LMs) for tasks that require multiple reasoning steps. However, some QA tasks hinge more on accessing relevant knowledge than on chaining reasoning steps. We introduce a simple prompting technique, called PREP, that involves using two instances of LMs: the first (LM1) generates relevant information, and the second (LM2) receives the information from the user and answers the question. This design is intended to make better use of the LM's instruction-following capability. PREP is applicable across various QA tasks without domain-specific prompt engineering. PREP is developed on a dataset of 100 QA questions, derived from an extensive schematic dataset specifying artifact parts and material composition. These questions ask which of two artifacts is less likely to share materials with another artifact. Such questions probe the LM's knowledge of shared materials in the part structure of different artifacts. We test our method on our parts-and-materials dataset and three published commonsense reasoning datasets. The average accuracy of our method is consistently higher than that of all the other tested methods across all the tested datasets.
- Published
- 2024
4. Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes
- Author
-
Sinhamahapatra, Poulami, Shit, Suprosanna, Sekuboyina, Anjany, Husseini, Malek, Schinz, David, Lenhart, Nicolas, Menze, Joern, Kirschke, Jan, Roscher, Karsten, and Guennemann, Stephan
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Vertebral fracture grading classifies the severity of vertebral fractures, which is a challenging task in medical imaging and has recently attracted Deep Learning (DL) models. Only a few works attempted to make such models human-interpretable despite the need for transparency and trustworthiness in critical use cases like DL-assisted medical diagnosis. Moreover, such models either rely on post-hoc methods or additional annotations. In this work, we propose a novel interpretable-by-design method, ProtoVerse, to find relevant sub-parts of vertebral fractures (prototypes) that reliably explain the model's decision in a human-understandable way. Specifically, we introduce a novel diversity-promoting loss to mitigate prototype repetitions in small datasets with intricate semantics. We have experimented with the VerSe'19 dataset and outperformed the existing prototype-based method. Further, our model provides superior interpretability against the post-hoc method. Importantly, expert radiologists validated the visual interpretability of our results, showing clinical applicability., Comment: Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2024:015
- Published
- 2024
- Full Text
- View/download PDF
5. Statistical approach to design Zn particle size, shape, and crystallinity for alkaline batteries
- Author
-
Lenhart, Brian, Kathan, Devadharshini, Hiemer, Valerie, Zuraw, Mike, Hull, Matt, and Mustain, William E.
- Published
- 2024
- Full Text
- View/download PDF
6. Predictability and Randomness
- Author
-
Schubert, Lenhart K.
- Subjects
Computer Science - Information Theory - Abstract
Algorithmic theories of randomness can be related to theories of probabilistic sequence prediction through the notion of a predictor, defined as a function which supplies lower bounds on initial-segment probabilities of infinite sequences. An infinite binary sequence $z$ is called unpredictable iff its initial-segment "redundancy" $n+\log p(z(n))$ remains sufficiently low relative to every effective predictor $p$. A predictor which maximizes the initial-segment redundancy of a sequence is called optimal for that sequence. It turns out that a sequence is random iff it is unpredictable. More generally, a sequence is random relative to an arbitrary computable distribution iff the distribution is itself an optimal predictor for the sequence. Here "random" can be taken in the sense of Martin-L\"{o}f by using weak criteria of effectiveness, or in the sense of Schnorr by using stronger criteria of effectiveness. Under the weaker criteria of effectiveness it is possible to construct a universal predictor which is optimal for all infinite sequences. This predictor assigns nonvanishing limit probabilities precisely to the recursive sequences. Under the stronger criteria of effectiveness it is possible to establish a law of large numbers for sequences random relative to a computable distribution, which may be useful as a criterion of "rationality" for methods of probabilistic prediction. A remarkable feature of effective predictors is the fact that they are expressible in the special form first proposed by Solomonoff. In this form sequence prediction reduces to assigning high probabilities to initial segments with short and/or numerous encodings. This fact provides the link between theories of randomness and Solomonoff's theory of prediction., Comment: 30 pages + refs. A re-typeset University of Alberta Technical Report, no longer available as such
- Published
- 2024
7. Effects of Gender-Fair Language on the Cognitive Representation of Women in Stereotypically Masculine Occupations and Occupational Self-Efficacy Among Primary School Girls and Boys
- Author
-
Lenhart, Jan and Heckel, Franziska
- Published
- 2025
- Full Text
- View/download PDF
8. Generating synthetic high-resolution spinal STIR and T1w images from T2w FSE and low-resolution axial Dixon
- Author
-
Graf, Robert, Platzek, Paul-Sören, Riedel, Evamaria Olga, Kim, Su Hwan, Lenhart, Nicolas, Ramschütz, Constanze, Paprottka, Karolin Johanna, Kertels, Olivia Ruriko, Möller, Hendrik Kristian, Atad, Matan, Bülow, Robin, Werner, Nicole, Völzke, Henry, Schmidt, Carsten Oliver, Wiestler, Benedikt, Paetzold, Johannes C., Rueckert, Daniel, and Kirschke, Jan Stefan
- Published
- 2024
- Full Text
- View/download PDF
9. BMI ≥ 70: A Multi-Center Institutional Experience of the Safety and Efficacy of Metabolic and Bariatric Surgery Intervention
- Author
-
Corpodean, Florina, Kachmar, Michael, Popiv, Iryna, LaPenna, Kyle B., Lenhart, Devan, Cook, Michael, Albaugh, Vance L., and Schauer, Philip R.
- Published
- 2024
- Full Text
- View/download PDF
10. Evaluation of GPT-4 for chest X-ray impression generation: A reader study on performance and perception
- Author
-
Ziegelmayer, Sebastian, Marka, Alexander W., Lenhart, Nicolas, Nehls, Nadja, Reischl, Stefan, Harder, Felix, Sauter, Andreas, Makowski, Marcus, Graf, Markus, and Gawlitza, Joshua
- Subjects
Computer Science - Computation and Language - Abstract
The remarkable generative capabilities of multimodal foundation models are currently being explored for a variety of applications. Generating radiological impressions is a challenging task that could significantly reduce the workload of radiologists. In our study we explored and analyzed the generative abilities of GPT-4 for Chest X-ray impression generation. To generate and evaluate impressions of chest X-rays based on different input modalities (image, text, text and image), a blinded radiological report was written for 25-cases of the publicly available NIH-dataset. GPT-4 was given image, finding section or both sequentially to generate an input dependent impression. In a blind randomized reading, 4-radiologists rated the impressions and were asked to classify the impression origin (Human, AI), providing justification for their decision. Lastly text model evaluation metrics and their correlation with the radiological score (summation of the 4 dimensions) was assessed. According to the radiological score, the human-written impression was rated highest, although not significantly different to text-based impressions. The automated evaluation metrics showed moderate to substantial correlations to the radiological score for the image impressions, however individual scores were highly divergent among inputs, indicating insufficient representation of radiological quality. Detection of AI-generated impressions varied by input and was 61% for text-based impressions. Impressions classified as AI-generated had significantly worse radiological scores even when written by a radiologist, indicating potential bias. Our study revealed significant discrepancies between a radiological assessment and common automatic evaluation metrics depending on the model input. The detection of AI-generated findings is subject to bias that highly rated impressions are perceived as human-written.
- Published
- 2023
- Full Text
- View/download PDF
11. Get the gist? Using large language models for few-shot decontextualization
- Author
-
Kane, Benjamin and Schubert, Lenhart
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
In many NLP applications that involve interpreting sentences within a rich context -- for instance, information retrieval systems or dialogue systems -- it is desirable to be able to preserve the sentence in a form that can be readily understood without context, for later reuse -- a process known as ``decontextualization''. While previous work demonstrated that generative Seq2Seq models could effectively perform decontextualization after being fine-tuned on a specific dataset, this approach requires expensive human annotations and may not transfer to other domains. We propose a few-shot method of decontextualization using a large language model, and present preliminary results showing that this method achieves viable performance on multiple domains using only a small set of examples.
- Published
- 2023
12. We are what we repeatedly do: Inducing and deploying habitual schemas in persona-based responses
- Author
-
Kane, Benjamin and Schubert, Lenhart
- Subjects
Computer Science - Artificial Intelligence ,Computer Science - Computation and Language - Abstract
Many practical applications of dialogue technology require the generation of responses according to a particular developer-specified persona. While a variety of personas can be elicited from recent large language models, the opaqueness and unpredictability of these models make it desirable to be able to specify personas in an explicit form. In previous work, personas have typically been represented as sets of one-off pieces of self-knowledge that are retrieved by the dialogue system for use in generation. However, in realistic human conversations, personas are often revealed through story-like narratives that involve rich habitual knowledge -- knowledge about kinds of events that an agent often participates in (e.g., work activities, hobbies, sporting activities, favorite entertainments, etc.), including typical goals, sub-events, preconditions, and postconditions of those events. We capture such habitual knowledge using an explicit schema representation, and propose an approach to dialogue generation that retrieves relevant schemas to condition a large language model to generate persona-based responses. Furthermore, we demonstrate a method for bootstrapping the creation of such schemas by first generating generic passages from a set of simple facts, and then inducing schemas from the generated passages.
- Published
- 2023
13. Vigorous vs. moderate exercise to improve glucose metabolism in inactive women with polycystic ovary syndrome and insulin resistance: a pilot randomized controlled trial of two home-based exercise routines.
- Author
-
Corley, Jamie, Lenhart, Nikolaus, Cedars, Marcelle, Huddleston, Heather, Wang, Ange, Noel, Martha, and Christ, Jacob
- Subjects
Exercise ,PCOS ,glucose ,insulin ,randomized controlled trial - Abstract
OBJECTIVE: To study the impact of vigorous vs. moderate exercise on metabolic parameters in polycystic ovary syndrome (PCOS). DESIGN: Randomized controlled trial. SETTING: Unsupervised home-based exercise program. PATIENTS: Patients with PCOS on the basis of the Rotterdam criteria with insulin resistance. INTERVENTIONS: Participants were block randomized to a home-based exercise program of 75 minutes of vigorous exercise or 150 minutes of moderate exercise per week, for 8 weeks total. MAIN OUTCOME MEASURES: Changes in glucose, insulin, and insulin resistance. RESULTS: In total, 36 participants were randomized, of whom 20 completed the study. The percentage changes from baseline at 4 and 8 weeks for fasting glucose, insulin, and homeostatic model assessment for insulin resistance did not significantly differ between the groups, except for the change in the 8-week glucose level, which was more favorable in the moderate arm (8.06% [standard deviation, 6.44%] in the vigorous group compared with -0.32% [standard deviation, 4.91%] in the moderate group). The absolute values of the main outcomes (fasting glucose, insulin, and homeostatic model assessment for insulin resistance) at baseline and 4 and 8 weeks did not significantly differ between trial arms. When assessing the change from baseline at 4 and 8 weeks, overall and within each trial arm, only the 8-week fasting glucose level was significantly greater than the baseline value in the vigorous arm (93.5 [95% confidence interval, 88.7-98.3] vs. 86.8 [95% confidence interval, 81.1-92.4]). CONCLUSIONS: Unsupervised short-term exercise programs may not achieve significant metabolic improvements in patients with PCOS, regardless of vigorous vs. moderate intensity. Future studies should investigate this question in larger sample sizes and longer or structured exercise programs. CLINICAL TRIAL REGISTRATION NUMBER: ClinicalTrials.gov identifier, NCT02303470.
- Published
- 2024
14. The natural history of Amblyomma maculatum sensu lato, a vector of Rickettsia parkeri rickettsiosis, in southern Arizona
- Author
-
Lynn, Geoffrey E., Ludwig, Taylor J., Allerdice, Michelle E.J., Paddock, Christopher D., Grisham, Blake A., Lenhart, Paul A., Teel, Pete D., and Johnson, Tammi L.
- Published
- 2024
- Full Text
- View/download PDF
15. Quantifying trade-offs between therapeutic efficacy and resistance dissemination for enrofloxacin dose regimens in cattle
- Author
-
Chandra Deb, Liton, Timsina, Archana, Lenhart, Suzanne, Foster, Derek, and Lanzas, Cristina
- Published
- 2024
- Full Text
- View/download PDF
16. Key gene modules and hub genes associated with pyrethroid and organophosphate resistance in Anopheles mosquitoes: a systems biology approach
- Author
-
Odhiambo, Cynthia Awuor, Derilus, Dieunel, Impoinvil, Lucy Mackenzie, Omoke, Diana, Saizonou, Helga, Okeyo, Stephen, Dada, Nsa, Mulder, Nicola, Nyamai, Dorothy, Nyanjom, Steven, Lenhart, Audrey, Djogbénou, Luc S., and Ochomo, Eric
- Published
- 2024
- Full Text
- View/download PDF
17. Physical durability and insecticidal activity of long-lasting insecticidal nets in Cruzeiro do Sul, Brazil
- Author
-
Feio-dos-Santos, Ana Cecília, Reis, Crissiane C., Sucupira, Izis M. C., Lenhart, Audrey, Santos, Márcia M. M., Reis, Ediane R., do Carmo, Ediclei Lima, Daniel, Simone, Mesones Lapouble, Oscar M., de Oliveira, Alexandre Macedo, and Povoa, Marinete M.
- Published
- 2024
- Full Text
- View/download PDF
18. Transcriptomic analysis of Anopheles gambiae from Benin reveals overexpression of salivary and cuticular proteins associated with cross-resistance to pyrethroids and organophosphates
- Author
-
Saizonou, Helga, Impoinvil, Lucy Mackenzie, Derilus, Dieunel, Omoke, Diana, Okeyo, Stephen, Dada, Nsa, Corredor, Claudia, Mulder, Nicola, Lenhart, Audrey, Ochomo, Eric, and Djogbénou, Luc S.
- Published
- 2024
- Full Text
- View/download PDF
19. Whole transcriptomic analysis reveals overexpression of salivary gland and cuticular proteins genes in insecticide-resistant Anopheles arabiensis from Western Kenya
- Author
-
Omoke, Diana, Impoinvil, Lucy Mackenzie, Derilus, Dieunel, Okeyo, Stephen, Saizonou, Helga, Mulder, Nicola, Dada, Nsa, Lenhart, Audrey, Djogbénou, Luc, and Ochomo, Eric
- Published
- 2024
- Full Text
- View/download PDF
20. Detection of caries lesions using a water-sensitive STIR sequence in dental MRI
- Author
-
Burian, Egon, Lenhart, Nicolas, Greve, Tobias, Bodden, Jannis, Burian, Gintare, Palla, Benjamin, Probst, Florian, Probst, Monika, Beer, Meinrad, Folwaczny, Matthias, and Schwarting, Julian
- Published
- 2024
- Full Text
- View/download PDF
21. The natural history of Amblyomma maculatum sensu lato, a vector of Rickettsia parkeri rickettsiosis, in southern Arizona
- Author
-
Geoffrey E. Lynn, Taylor J. Ludwig, Michelle E.J. Allerdice, Christopher D. Paddock, Blake A. Grisham, Paul A. Lenhart, Pete D. Teel, and Tammi L. Johnson
- Subjects
Medicine ,Science - Abstract
Abstract Amblyomma maculatum sensu lato (s.l.) is an ixodid tick found in the semi-arid southwestern United States and northern Mexico where it is a parasite of medical and veterinary significance, including as a vector for Rickettsia parkeri, a cause of spotted fever rickettsiosis in the Americas. To describe the comprehensive natural history of this tick, monthly small mammal trapping and avian mist netting sessions were conducted at sites in Cochise County Arizona, within the Madrean Archipelago region where human cases of R. parkeri rickettsiosis and adult stages of A. maculatum s.l. were previously documented. A total of 1949 larvae and nymphs were removed from nine taxonomic groups of rodents and ten species of birds and were used in combination with records for adult stages collected both from vegetation and hunter-harvested animals to model seasonal activity patterns. A univoltine phenology was observed, initiated by the onset of the annual North American monsoon and ceasing during the hot, dry conditions preceding the following monsoon season. Cotton rats (Sigmodon spp.) were significantly more likely to be infested than other rodent taxa and carried the highest tick loads, reflecting a mutual affinity of host and ectoparasite for microhabitats dominated by grass.
- Published
- 2024
- Full Text
- View/download PDF
22. Mutual Witness Proximity Drawings of Isomorphic Trees
- Author
-
Haase, Carolina, Kindermann, Philipp, Lenhart, William J., and Liotta, Giuseppe
- Subjects
Computer Science - Computational Geometry - Abstract
A pair $\langle G_0, G_1 \rangle$ of graphs admits a mutual witness proximity drawing $\langle \Gamma_0, \Gamma_1 \rangle$ when: (i) $\Gamma_i$ represents $G_i$, and (ii) there is an edge $(u,v)$ in $\Gamma_i$ if and only if there is no vertex $w$ in $\Gamma_{1-i}$ that is ``too close'' to both $u$ and $v$ ($i=0,1$). In this paper, we consider infinitely many definitions of closeness by adopting the $\beta$-proximity rule for any $\beta \in [1,\infty]$ and study pairs of isomorphic trees that admit a mutual witness $\beta$-proximity drawing. Specifically, we show that every two isomorphic trees admit a mutual witness $\beta$-proximity drawing for any $\beta \in [1,\infty]$. The constructive technique can be made ``robust'': For some tree pairs we can suitably prune linearly many leaves from one of the two trees and still retain their mutual witness $\beta$-proximity drawability. Notably, in the special case of isomorphic caterpillars and $\beta=1$, we construct linearly separable mutual witness Gabriel drawings., Comment: Appears in the Proceedings of the 31st International Symposium on Graph Drawing and Network Visualization (GD 2023)
- Published
- 2023
23. Seltene Ursache eines schmerzlosen Ikterus bei einer 38 Jahre alten Patientin
- Author
-
Schad, C. M., Holländer, C., Lenhart, M., Seggewiss-Bernhardt, R., and Gundling, F.
- Published
- 2024
- Full Text
- View/download PDF
24. Validating a virtual human and automated feedback system for training doctor-patient communication skills
- Author
-
Haut, Kurtis, Wohn, Caleb, Kane, Benjamin, Carroll, Tom, Guigno, Catherine, Kumar, Varun, Epstein, Ron, Schubert, Lenhart, and Hoque, Ehsan
- Subjects
Computer Science - Human-Computer Interaction ,Computer Science - Computers and Society - Abstract
Effective communication between a clinician and their patient is critical for delivering healthcare maximizing outcomes. Unfortunately, traditional communication training approaches that use human standardized patients and expert coaches are difficult to scale. Here, we present the development and validation of a scalable, easily accessible, digital tool known as the Standardized Online Patient for Health Interaction Education (SOPHIE) for practicing and receiving feedback on doctor-patient communication skills. SOPHIE was validated by conducting an experiment with 30 participants. We found that participants who underwent SOPHIE performed significantly better than the control in overall communication, aggregate scores, empowering the patient, and showing empathy ($p < 0.05$ in all cases). One day, we hope that SOPHIE will help make communication training resources more accessible by providing a scalable option to supplement existing resources., Comment: 10 pages, 5 figures, 2 tables
- Published
- 2023
25. Quantifying trade-offs between therapeutic efficacy and resistance dissemination for enrofloxacin dose regimens in cattle
- Author
-
Liton Chandra Deb, Archana Timsina, Suzanne Lenhart, Derek Foster, and Cristina Lanzas
- Subjects
Enrofloxacin dosing regimens in cattle ,Antimicrobial drug resistance ,PK-PD model ,Medicine ,Science - Abstract
Abstract The use of antimicrobial drugs in food-producing animals contributes to the selection pressure on pathogenic and commensal bacteria to become resistant. This study aims to evaluate the existence of trade-offs between treatment effectiveness, cost, and the dynamics of resistance in gut commensal bacteria. We developed a within-host ordinary differential equation model to track the dynamics of antimicrobial drug concentrations and bacterial populations in the site of infection (lung) and the gut. The model was parameterized to represent enrofloxacin treatment for bovine respiratory disease (BRD) caused by Pastereulla multocida in cattle. Three approved enrofloxacin dosing regimens were compared for their effects on resistance on P. multocida and commensal E. coli: 12.5 mg/kg and 7.5 mg/kg as a single dose, and 5 mg/kg as three doses. Additionally, we explored non-FDA-approved regimes. Our results indicated that both 12.5 mg/kg and 7.5 mg/kg as a single dose scenario increased the most the treatment costs and prevalence of P. multocida resistance in the lungs, while 5 mg/kg as three doses increased resistance in commensal E. coli bacteria in the gut the most out of the approved scenarios. A proposed non-FDA-approved scenario (7.5 mg/kg, two doses 24 h apart) showed low economic costs, minimal P. multocida, and moderate effects on resistant E. coli. Overall, the scenarios that decrease P. multocida, including resistant P. multocida did not coincide with those that decrease resistant E. coli the most, suggesting a trade-off between both outcomes. The sensitivity analysis suggests that bacterial populations were the most sensitive to drug conversion factors into plasma ( $${\beta}$$ β ), elimination of the drug from the colon ( $$\vartheta$$ ϑ ), fifty percent sensitive bacteria (P. multocida) killing effect ( $${\text{L}}_{\text{s50}}$$ L s50 ), fifty percent of bacteria (E. coli) above ECOFF killing effect ( $${\text{C}}_{\text{r50}}$$ C r50 ), and net drug transfer rate in the lung ( $$\gamma$$ γ ) parameters.
- Published
- 2024
- Full Text
- View/download PDF
26. Key gene modules and hub genes associated with pyrethroid and organophosphate resistance in Anopheles mosquitoes: a systems biology approach
- Author
-
Cynthia Awuor Odhiambo, Dieunel Derilus, Lucy Mackenzie Impoinvil, Diana Omoke, Helga Saizonou, Stephen Okeyo, Nsa Dada, Nicola Mulder, Dorothy Nyamai, Steven Nyanjom, Audrey Lenhart, Luc S. Djogbénou, and Eric Ochomo
- Subjects
Insecticide resistance ,Anopheles gambiae ,Anopheles arabiensis ,Hub genes ,Molecular markers ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Indoor residual spraying (IRS) and insecticide-treated nets (ITNs) are the main methods used to control mosquito populations for malaria prevention. The efficacy of these strategies is threatened by the spread of insecticide resistance (IR), limiting the success of malaria control. Studies of the genetic evolution leading to insecticide resistance could enable the identification of molecular markers that can be used for IR surveillance and an improved understanding of the molecular mechanisms associated with IR. This study used a weighted gene co-expression network analysis (WGCNA) algorithm, a systems biology approach, to identify genes with similar co-expression patterns (modules) and hub genes that are potential molecular markers for insecticide resistance surveillance in Kenya and Benin. A total of 20 and 26 gene co-expression modules were identified via average linkage hierarchical clustering from Anopheles arabiensis and An. gambiae, respectively, and hub genes (highly connected genes) were identified within each module. Three specific genes stood out: serine protease, E3 ubiquitin-protein ligase, and cuticular proteins, which were top hub genes in both species and could serve as potential markers and targets for monitoring IR in these malaria vectors. In addition to the identified markers, we explored molecular mechanisms using enrichment maps that revealed a complex process involving multiple steps, from odorant binding and neuronal signaling to cellular responses, immune modulation, cellular metabolism, and gene regulation. Incorporation of these dynamics into the development of new insecticides and the tracking of insecticide resistance could improve the sustainable and cost-effective deployment of interventions.
- Published
- 2024
- Full Text
- View/download PDF
27. Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries
- Author
-
Igoe, Morganne, Casagrandi, Renato, Gatto, Marino, Hoover, Christopher M, Mari, Lorenzo, Ngonghala, Calistus N, Remais, Justin V, Sanchirico, James N, Sokolow, Susanne H, Lenhart, Suzanne, and de Leo, Giulio
- Subjects
Biological Sciences ,Mathematical Sciences ,Rare Diseases ,Vaccine Related ,Prevention ,Emerging Infectious Diseases ,Infectious Diseases ,Infection ,Good Health and Well Being ,Humans ,Models ,Biological ,Mathematical Concepts ,Communicable Diseases ,Cholera ,Disease Management ,Optimal control of differential equations ,Epidemiological management goals ,Bioinformatics ,Biological sciences ,Mathematical sciences - Abstract
Optimal control theory can be a useful tool to identify the best strategies for the management of infectious diseases. In most of the applications to disease control with ordinary differential equations, the objective functional to be optimized is formulated in monetary terms as the sum of intervention costs and the cost associated with the burden of disease. We present alternate formulations that express epidemiological outcomes via health metrics and reframe the problem to include features such as budget constraints and epidemiological targets. These alternate formulations are illustrated with a compartmental cholera model. The alternate formulations permit us to better explore the sensitivity of the optimal control solutions to changes in available budget or the desired epidemiological target. We also discuss some limitations of comprehensive cost assessment in epidemiology.
- Published
- 2023
28. Monotonic Inference with Unscoped Episodic Logical Forms: From Principles to System
- Author
-
Kim, Gene Louis, Juvekar, Mandar, Ekmekciu, Junis, Duong, Viet, and Schubert, Lenhart
- Published
- 2024
- Full Text
- View/download PDF
29. Comfort Terminal Care auf der Intensivstation: Empfehlungen für die Praxis
- Author
-
Schaden, Eva, Dier, Helga, Weixler, Dietmar, Hasibeder, Walter, Lenhart-Orator, Andrea, Roden, Christian, Fruhwald, Sonja, and Friesenecker, Barbara
- Published
- 2024
- Full Text
- View/download PDF
30. Assistierter Suizid ist noch keine „area of interest“ für Ärzt:innen
- Author
-
Lenhart, Andrea, Weixler, Dietmar, Schaden, Eva, Fruhwald, Sonja, and Friesenecker, Barbara
- Published
- 2024
- Full Text
- View/download PDF
31. Insecticide susceptibility status of Anopheles albimanus populations in historical malaria foci in Quintana Roo, Mexico
- Author
-
Denis Escobar, Gabriela González-Olvera, Ángel S. Gómez-Rivera, Juan Navarrete-Carballo, Pedro Mis-Ávila, Raquel Baack-Valle, Guillermo Escalante, Gerardo Reyes-Cabrera, Fabian Correa-Morales, Azael Che-Mendoza, Gonzalo Vazquez-Prokopec, Audrey Lenhart, and Pablo Manrique-Saide
- Subjects
Malaria ,Mexico ,Anopheles vectors ,Insecticide resistance ,Arctic medicine. Tropical medicine ,RC955-962 ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Mexico has experienced a significant reduction in malaria cases over the past two decades. Certification of localities as malaria-free areas (MFAs) has been proposed as a steppingstone before elimination is achieved throughout the country. The Mexican state of Quintana Roo is a candidate for MFA certification. Monitoring the status of insecticide susceptibility of major vectors is crucial for MFA certification. This study describes the susceptibility status of Anopheles albimanus, main malaria vector, from historically important malaria foci in Quintana Roo, using both phenotypic and genotypic approaches. Methods Adult mosquito collections were carried out at three localities: Palmar (Municipality of Othon P. Blanco), Buenavista (Bacalar) and Puerto Morelos (Puerto Morelos). Outdoor human-landing catches were performed by pairs of trained staff from 18:00 to 22:00 during 3-night periods at each locality during the rainy season of 2022. Wild-caught female mosquitoes were exposed to diagnostic doses of deltamethrin, permethrin, malathion, pirimiphos-methyl or bendiocarb using CDC bottle bioassays. Mortality was registered at the diagnostic time and recovery was assessed 24 h after exposure. Molecular analyses targeting the Voltage-Gated Sodium Channel (vgsc) gene and acetylcholinesterase (ace-1) gene were used to screen for target site polymorphisms. An SNP analysis was carried out to identify mutations at position 995 in the vgsc gene and at position 280 in the ace-1 gene. Results A total of 2828 anophelines were collected. The main species identified were Anopheles albimanus (82%) and Anopheles vestitipennis (16%). Mortalities in the CDC bottle bioassay ranged from 99% to 100% for all the insecticides and mosquito species. Sequence analysis was performed on 35 An. albimanus across the three localities; of those, 25 were analysed for vgsc and 10 for ace-1 mutations. All individuals showed wild type alleles. Conclusion The results demonstrated that An. albimanus populations from historical malaria foci in Quintana Roo are susceptible to the main insecticides used by the Ministry of Health.
- Published
- 2024
- Full Text
- View/download PDF
32. Fungal Methane Production Controlled by Oxygen Levels and Temperature
- Author
-
Moritz Schroll, Katharina Lenhart, Thomas Bender, Piet Hötten, Alexander Rudolph, Sven Sörensen, and Frank Keppler
- Subjects
aerobic methane formation ,fungi ,oxygen-dependency ,temperature-dependency ,wood decay ,Biochemistry ,QD415-436 ,Geophysics. Cosmic physics ,QC801-809 - Abstract
Saprotrophic fungi, key players in global carbon cycling, have been identified as methane (CH4) sources not yet accounted for in the global CH4 budget. This study, for the first time, explores the influence of oxygen (O2) and temperature on CH4 production by two fungi, Laetiporus sulphureus and Pleurotus sapidus. To explore the relationship between these parameters and fungal CH4 formation, we examined CH4 formation under varying O2 levels (0 to 98%) and temperatures (17, 27, and 40 °C) during fungal growth on pine wood, beech wood, and grass under sterile conditions. Our findings show that fungal CH4 formation strongly depends on O2 levels. Methane formation was highest when O2 levels exceeded 5%, whilst no CH4 formation was observed after complete O2 consumption. Reintroducing O2 immediately resumed fungal CH4 production. Methane formation normalized to O2 consumption (CH4_norm) showed a different pattern. L. sulphureus showed higher CH4_norm rates with higher O2 levels, whereas P. sapidus showed elevated rates between 0 and 5%. Temperature also significantly influenced CH4 and CH4_norm rates, with the highest production at 27 °C, and comparatively lower rates at 17 and 40 °C. These findings demonstrate the importance of O2 levels and temperature in fungal CH4 emissions, which are essential for refining CH4 source predictions.
- Published
- 2024
- Full Text
- View/download PDF
33. Physical durability and insecticidal activity of long-lasting insecticidal nets in Cruzeiro do Sul, Brazil
- Author
-
Ana Cecília Feio-dos-Santos, Crissiane C. Reis, Izis M. C. Sucupira, Audrey Lenhart, Márcia M. M. Santos, Ediane R. Reis, Ediclei Lima do Carmo, Simone Daniel, Oscar M. Mesones Lapouble, Alexandre Macedo de Oliveira, and Marinete M. Povoa
- Subjects
Malaria ,Vector control ,Long-lasting insecticidal nets ,Medicine ,Science - Abstract
Abstract Vector control is one of the principal strategies used for reducing malaria transmission. Long-lasting insecticidal bed nets (LLINs) are a key tool used to protect populations at risk of malaria, since they provide both physical and chemical barriers to prevent human-vector contact. This study aimed to assess the physical durability and insecticidal efficacy of LLINs distributed in Cruzeiro do Sul (CZS), Brazil, after 4 years of use. A total of 3000 LLINs (PermaNet 2.0) were distributed in high malaria risk areas of CZS in 2007. After 4 years of use, 27 ‘rectangular’ LLINs and 28 ‘conical’ LLINs were randomly selected for analysis. The evaluation of physical integrity was based on counting the number of holes and measuring their size and location on the nets. Insecticidal efficacy was evaluated by cone bioassays, and the amount of residual insecticide remaining on the surface of the LLINs was estimated using a colorimetric method. After 4 years of use, physical damage was highly prevalent on the rectangular LLINs, with a total of 473 holes detected across the 27 nets. The upper portion of the side panels sustained the greatest damage in rectangular LLINs. The overall mosquito mortality by cone bioassay was
- Published
- 2024
- Full Text
- View/download PDF
34. Transcriptomic analysis of Anopheles gambiae from Benin reveals overexpression of salivary and cuticular proteins associated with cross-resistance to pyrethroids and organophosphates
- Author
-
Helga Saizonou, Lucy Mackenzie Impoinvil, Dieunel Derilus, Diana Omoke, Stephen Okeyo, Nsa Dada, Claudia Corredor, Nicola Mulder, Audrey Lenhart, Eric Ochomo, and Luc S. Djogbénou
- Subjects
Insecticide resistance ,An. gambiae ,Vector surveillance ,RNA-seq ,Differential gene expression ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background Insecticide resistance (IR) is one of the major threats to malaria vector control programs in endemic countries. However, the mechanisms underlying IR are poorly understood. Thus, investigating gene expression patterns related to IR can offer important insights into the molecular basis of IR in mosquitoes. In this study, RNA-Seq was used to characterize gene expression in Anopheles gambiae surviving exposure to pyrethroids (deltamethrin, alphacypermethrin) and an organophosphate (pirimiphos-methyl). Results Larvae of An. gambiae s.s. collected from Bassila and Djougou in Benin were reared to adulthood and phenotyped for IR using a modified CDC intensity bottle bioassay. The results showed that mosquitoes from Djougou were more resistant to pyrethroids (5X deltamethrin: 51.7% mortality; 2X alphacypermethrin: 47.4%) than Bassila (1X deltamethrin: 70.7%; 1X alphacypermethrin: 77.7%), while the latter were more resistant to pirimiphos-methyl (1.5X: 48.3% in Bassila and 1X: 21.5% in Djougou). RNA-seq was then conducted on resistant mosquitoes, non-exposed mosquitoes from the same locations and the laboratory-susceptible An. gambiae s.s. Kisumu strain. The results showed overexpression of detoxification genes, including cytochrome P450s (CYP12F2, CYP12F3, CYP4H15, CYP4H17, CYP6Z3, CYP9K1, CYP4G16, and CYP4D17), carboxylesterase genes (COEJHE5E, COE22933) and glutathione S-transferases (GSTE2 and GSTMS3) in all three resistant mosquito groups analyzed. Genes encoding cuticular proteins (CPR130, CPR10, CPR15, CPR16, CPR127, CPAP3-C, CPAP3-B, and CPR76) were also overexpressed in all the resistant groups, indicating their potential role in cross resistance in An. gambiae. Salivary gland protein genes related to ‘salivary cysteine-rich peptide’ and ‘salivary secreted mucin 3’ were also over-expressed and shared across all resistant groups. Conclusion Our results suggest that in addition to metabolic enzymes, cuticular and salivary gland proteins could play an important role in cross-resistance to multiple classes of insecticides in Benin. These genes warrant further investigation to validate their functional role in An. gambiae resistance to insecticides.
- Published
- 2024
- Full Text
- View/download PDF
35. Mutual Witness Gabriel Drawings of Complete Bipartite Graphs
- Author
-
Lenhart, William J. and Liotta, Giuseppe
- Subjects
Computer Science - Computational Geometry - Abstract
Let $\Gamma$ be a straight-line drawing of a graph and let $u$ and $v$ be two vertices of $\Gamma$. The Gabriel disk of $u,v$ is the disk having $u$ and $v$ as antipodal points. A pair $\langle \Gamma_0,\Gamma_1 \rangle$ of vertex-disjoint straight-line drawings form a mutual witness Gabriel drawing when, for $i=0,1$, any two vertices $u$ and $v$ of $\Gamma_i$ are adjacent if and only if their Gabriel disk does not contain any vertex of $\Gamma_{1-i}$. We characterize the pairs $\langle G_0,G_1 \rangle $ of complete bipartite graphs that admit a mutual witness Gabriel drawing. The characterization leads to a linear time testing algorithm. We also show that when at least one of the graphs in the pair $\langle G_0, G_1 \rangle $ is complete $k$-partite with $k>2$ and all partition sets in the two graphs have size greater than one, the pair does not admit a mutual witness Gabriel drawing., Comment: Appears in the Proceedings of the 30th International Symposium on Graph Drawing and Network Visualization (GD 2022)
- Published
- 2022
36. On the Complexity of the Storyplan Problem
- Author
-
Binucci, Carla, Di Giacomo, Emilio, Lenhart, William J., Liotta, Giuseppe, Montecchiani, Fabrizio, Nöllenburg, Martin, and Symvonis, Antonios
- Subjects
Computer Science - Computational Complexity - Abstract
Motivated by dynamic graph visualization, we study the problem of representing a graph $G$ in the form of a \emph{storyplan}, that is, a sequence of frames with the following properties. Each frame is a planar drawing of the subgraph of $G$ induced by a suitably defined subset of its vertices. Between two consecutive frames, a new vertex appears while some other vertices may disappear, namely those whose incident edges have already been drawn in at least one frame. In a storyplan, each vertex appears and disappears exactly once. For a vertex (edge) visible in a sequence of consecutive frames, the point (curve) representing it does not change throughout the sequence. Note that the order in which the vertices of $G$ appear in the sequence of frames is a total order. In the \textsc{StoryPlan} problem, we are given a graph and we want to decide whether there exists a total order of its vertices for which a storyplan exists. We prove that the problem is NP-complete, and complement this hardness with two parameterized algorithms, one in the vertex cover number and one in the feedback edge set number of $G$. Also, we prove that partial $3$-trees always admit a storyplan, which can be computed in linear time. Finally, we show that the problem remains NP-complete in the case in which the total order of the vertices is given as part of the input and we have to choose how to draw the frames., Comment: Appears in the Proceedings of the 30th International Symposium on Graph Drawing and Network Visualization (GD 2022)
- Published
- 2022
37. Optimally Controlling Nutrition and Propulsion Force in a Long Distance Running Race
- Author
-
Cook, Cameron, Lenhart, Suzanne, Hager, William, and Chen, Guoxun
- Subjects
Mathematics - Optimization and Control - Abstract
Runners competing in races are looking to optimize their performance. In this paper, a runner's performance in a race, such as a marathon, is formulated as an optimal control problem where the controls are: the nutrition intake throughout the race and the propulsion force of the runner. As nutrition is an integral part of successfully running long distance races, it needs to be included in models of running strategies. We formulate a system of ordinary differential equations to represent the velocity, fat energy, glycogen energy, and nutrition for a runner competing in a long-distance race. The energy compartments represent the energy sources available in the runner's body. We allocate the energy source from which the runner draws, based on how fast the runner is moving. The food consumed during the race is a source term for the nutrition differential equation. With our model, we are investigating strategies to manage the nutrition and propulsion force in order to minimize the running time in a fixed distance race. This requires the solution of a nontrivial singular control problem. Our results confirm the belief that the most effective way to run a race is to run approximately the same pace the entire race without letting one's energies hit zero.
- Published
- 2022
38. A Flexible Schema-Guided Dialogue Management Framework: From Friendly Peer to Virtual Standardized Cancer Patient
- Author
-
Kane, Benjamin, Giugno, Catherine, Schubert, Lenhart, Haut, Kurtis, Wohn, Caleb, and Hoque, Ehsan
- Subjects
Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Human-Computer Interaction - Abstract
A schema-guided approach to dialogue management has been shown in recent work to be effective in creating robust customizable virtual agents capable of acting as friendly peers or task assistants. However, successful applications of these methods in open-ended, mixed-initiative domains remain elusive -- particularly within medical domains such as virtual standardized patients, where such complex interactions are commonplace -- and require more extensive and flexible dialogue management capabilities than previous systems provide. In this paper, we describe a general-purpose schema-guided dialogue management framework used to develop SOPHIE, a virtual standardized cancer patient that allows a doctor to conveniently practice for interactions with patients. We conduct a crowdsourced evaluation of conversations between medical students and SOPHIE. Our agent is judged to produce responses that are natural, emotionally appropriate, and consistent with her role as a cancer patient. Furthermore, it significantly outperforms an end-to-end neural model fine-tuned on a human standardized patient corpus, attesting to the advantages of a schema-guided approach.
- Published
- 2022
39. Quantitative Biology at Community Colleges, a Network of Biology and Mathematics Faculty Focused on Improving Numerical and Quantitative Skills of Students
- Author
-
Esquibel, Joseph, Rook, Deborah L., LoRe, Sondra M., Starnes, John H., Miller, Jillian M., Buntz, Jennifer G., Hugo, Alys, Nieuwsma, Christianne B., Seitz, Heather, Bissell, Ahrash, Gross, Louis, Kiser, Stacey, Lenhart, Suzanne, Mills, Michael A., Neuhauser, Claudia, Corriette, Irene, Prescott, Sarah, Jenkins, Kristin P., and Karpakakunjaram, Vedham
- Abstract
Mastery of quantitative skills is increasingly critical for student success in life sciences, but few curricula adequately incorporate quantitative skills. Quantitative Biology at Community Colleges (QB@CC) is designed to address this need by building a grassroots consortium of community college faculty to (1) engage in interdisciplinary partnerships that increase participant confidence in life science, mathematics, and statistics domains; (2) generate and publish a collection of quantitative skills--focused open education resources (OER); and (3) disseminate these OER and pedagogical practices widely, in turn expanding the network. Currently in its third year, QB@CC has recruited 70 faculty into the network and created 20 modules. Modules can be accessed by interested biology and mathematics educators in high school, 2-year, and 4-year institutions. Here, we use survey responses, focus group interviews, and document analyses (principles-focused evaluation) to evaluate the progress in accomplishing these goals midway through the QB@CC program. The QB@CC network provides a model for developing and sustaining an interdisciplinary community that benefits participants and generates valuable resources for the broader community. Similar network-building programs may wish to adopt some of the effective aspects of the QB@CC network model to meet their objectives.
- Published
- 2023
- Full Text
- View/download PDF
40. Beta Test of a Christian Faith-Based Facebook Intervention for Smoking Cessation in Rural Communities (FaithCore): Development and Usability Study
- Author
-
Pravesh Sharma, Brianna Tranby, Celia Kamath, Tabetha A Brockman, Ned Lenhart, Brian Quade, Nate Abuan, Martin Halom, Jamie Staples, Colleen Young, LaPrincess Brewer, and Christi Patten
- Subjects
Medicine - Abstract
BackgroundIndividuals living in rural communities experience substantial geographic and infrastructure barriers to attaining health equity in accessing tobacco use cessation treatment. Social media and other digital platforms offer promising avenues to improve access and overcome engagement challenges in tobacco cessation efforts. Research has also shown a positive correlation between faith-based involvement and a lower likelihood of smoking, which can be used to engage rural communities in these interventions. ObjectiveThis study aimed to develop and beta test a social intervention prototype using a Facebook (Meta Platforms, Inc) group specifically designed for rural smokers seeking evidence-based smoking cessation resources. MethodsWe designed a culturally aligned and faith-aligned Facebook group intervention, FaithCore, tailored to engage rural people who smoke in smoking cessation resources. Both intervention content and engagement strategies were guided by community-based participatory research principles. Given the intervention’s focus on end users, that is, rural people who smoked, we conducted a beta test to assess any technical or usability issues of this intervention before any future trials for large-scale implementation. ResultsNo critical beta test technical and usability issues were noted. Besides, the FaithCore intervention was helpful, easy to understand, and achieved its intended goals. Notably, 90% (9/10) of the participants reported that they tried quitting smoking, while 90% (9/10) reported using or seeking cessation resources discussed within the group. ConclusionsThis study shows that social media platform with culturally aligned and faith-aligned content and engagement strategies delivered by trained moderators are promising for smoking cessation interventions in rural communities. Our future step is to conduct a large pilot trial to evaluate the intervention’s effectiveness on smoking cessation outcomes.
- Published
- 2024
- Full Text
- View/download PDF
41. Signaling through the nicotinic acetylcholine receptor in the liver protects against the development of metabolic dysfunction-associated steatohepatitis.
- Author
-
Heejin Jun, Shanshan Liu, Alexander J Knights, Kezhou Zhu, Yingxu Ma, Jianke Gong, Ashley E Lenhart, Xiaoling Peng, Yunying Huang, Jared P Ginder, Christopher H Downie, Erika Thalia Ramos, Klas Kullander, Robert T Kennedy, X Z Shawn Xu, and Jun Wu
- Subjects
Biology (General) ,QH301-705.5 - Abstract
Metabolic dysfunction-associated steatohepatitis (MASH) is the progressive form of liver steatosis, the most common liver disease, and substantially increases the mortality rate. However, limited therapies are currently available to prevent MASH development. Identifying potential pharmacological treatments for the condition has been hampered by its heterogeneous and complex nature. Here, we identified a hepatic nonneuronal cholinergic signaling pathway required for metabolic adaptation to caloric overload. We found that cholinergic receptor nicotinic alpha 2 subunit (CHRNA2) is highly expressed in hepatocytes of mice and humans. Further, CHRNA2 is activated by a subpopulation of local acetylcholine-producing macrophages during MASH development. The activation of CHRNA2 coordinates defensive programs against a broad spectrum of MASH-related pathogenesis, including steatosis, inflammation, and fibrosis. Hepatocyte-specific loss of CHRNA2 signaling accelerates the disease onset in different MASH mouse models. Activation of this pathway via pharmacological inhibition of acetylcholine degradation protects against MASH development. Our study uncovers a hepatic nicotinic cholinergic receptor pathway that constitutes a cell-autonomous self-defense route against prolonged metabolic stress and holds therapeutic potential for combatting human MASH.
- Published
- 2024
- Full Text
- View/download PDF
42. Intervenções farmacêuticas em pacientes com Covid-19 em Unidade de Terapia Intensiva: estudo de coorte retrospectiva.
- Author
-
Gabriele Lenhart, Tatiana Dourado Hoffmann, Maria Cristina Werlang, and Carine Raquel Blatt
- Subjects
COVID-19 ,SARS-CoV-2 ,Unidades de Terapia Intensiva ,Serviço de Farmácia Hospitalar ,Assistência Farmacêutica ,Inteligência Artificial ,Pharmacy and materia medica ,RS1-441 ,Pharmaceutical industry ,HD9665-9675 - Abstract
Objetivos: Descrever a atuação do farmacêutico clínico, perfil dos pacientes, medicamentos, exames, taxa de óbito e tempo de internação de pacientes internados em unidade de terapia intensiva (UTI) por Covid-19. Métodos: Estudo de coorte retrospectivo não-comparado de pacientes adultos internados em UTI por Covid-19 no período de seis meses. Foram coletados os dados de dose, frequência e tempo de tratamento de antimicrobianos, corticosteroides, anticoagulantes, colchicina, ivermectina e bloqueadores neuromusculares e resultados dos exames de creatinina, D-dímeros, ALT (alanina aminotransferase), AST (aspartato aminotransferase) e bilirrubina. Bem como, o motivo, quantidade e o desfecho das intervenções farmacêuticas realizadas. Os dados referem-se aos primeiros 15 dias de internação e foram coletados do prontuário eletrônico, portal Scola® de exames laboratoriais e do sistema de inteligência artificial NoHarm®. Resultados: Incluiu-se 174 pacientes, a média de idade foi de 61,8 ± 14,1 anos, tempo de internação de 17,3 ± 14,4 dias, sexo masculino (58,0%), com comorbidades prévias (95,4%), em uso de ventilação mecânica (75,4%) e mortalidade de 58,0%. Os antimicrobianos foram mais utilizados, seguido de corticosteroides e anticoagulantes. Idade, uso de ventilação mecânica, indicação para uso de anticoagulante, alteração de creatinina e ALT foram associados com o óbito. Foi realizada uma intervenção farmacêutica a cada 13,1 prescrições avaliadas, com uma taxa de aceitação de 86,8%. Conclusões: As intervenções farmacêuticas e seus desfechos mostraram a importância do farmacêutico no cuidado do paciente crítico com Covid-19 em conjunto com a equipe multiprofissional.
- Published
- 2024
- Full Text
- View/download PDF
43. Mining Logical Event Schemas From Pre-Trained Language Models
- Author
-
Lawley, Lane and Schubert, Lenhart
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
We present NESL (the Neuro-Episodic Schema Learner), an event schema learning system that combines large language models, FrameNet parsing, a powerful logical representation of language, and a set of simple behavioral schemas meant to bootstrap the learning process. In lieu of a pre-made corpus of stories, our dataset is a continuous feed of "situation samples" from a pre-trained language model, which are then parsed into FrameNet frames, mapped into simple behavioral schemas, and combined and generalized into complex, hierarchical schemas for a variety of everyday scenarios. We show that careful sampling from the language model can help emphasize stereotypical properties of situations and de-emphasize irrelevant details, and that the resulting schemas specify situations more comprehensively than those learned by other systems., Comment: To appear at ACL SRW 2022
- Published
- 2022
44. STEM Faculty Instructional Data-Use Practices: Informing Teaching Practice and Students' Reflection on Students' Learning
- Author
-
Lenhart, Cindy and Bouwma-Gearhart, Jana
- Abstract
This paper explores the affordances and constraints of STEM faculty members' instructional data-use practices and how they engage students (or not) in reflection around their own learning data. We found faculty used a wide variety of instructional data-use practices. We also found several constraints that influenced their instructional data-use practices, including perceived lack of time, standardized curriculum and assessments predetermined in scope and sequence, and a perceived lack of confidence and competence in their instructional data-use practices. Novel findings include faculty descriptions of instructional technology that afforded them access to immediate and nuanced instructional data. However, faculty described limited use of instructional data that engaged students in reflecting on their own learning data. We consider implications for faculty's instructional data-use practices on departmental and institutional policies and procedures, professional development experts, and for faculty themselves.
- Published
- 2021
45. Risk Factors for Abdominal Pain-Related Disorders of Gut-Brain Interaction in Adults and Children: A Systematic Review.
- Author
-
Zia, Jasmine K, Lenhart, Adrienne, Yang, Pei-Lin, Heitkemper, Margaret M, Baker, Jason, Keefer, Laurie, Saps, Miguel, Cuff, Callie, Hungria, Gregory, Videlock, Elizabeth J, and Chang, Lin
- Subjects
Brain ,Humans ,Gastrointestinal Diseases ,Gastroenteritis ,Irritable Bowel Syndrome ,Obesity ,Abdominal Pain ,Risk Factors ,Adult ,Child ,Female ,Medically Unexplained Symptoms ,Functional Gastrointestinal Disorders ,Recurrent Abdominal Pain ,Mental Health ,Chronic Pain ,Prevention ,Behavioral and Social Science ,Neurosciences ,Pain Research ,Digestive Diseases ,Pediatric ,2.3 Psychological ,social and economic factors ,Aetiology ,Mental health ,Good Health and Well Being ,Clinical Sciences ,Paediatrics and Reproductive Medicine ,Gastroenterology & Hepatology - Abstract
Background & aimsMany studies have assessed risk factors of irritable bowel syndrome (IBS) and other abdominal pain-related disorders of gut-brain interaction (AP-DGBI); however, the role of these factors is unclear due to heterogeneous study designs. The aim of this systematic review was to extensively evaluate the literature and determine clinical risk and protective factors for the presence and persistence of AP-DGBI in children and adults.MethodsA PubMed search identified studies investigating potential risk and protective factors for AP-DGBI in adults and children. Inclusion criteria included fully published studies with a control group; exclusion criteria included poor-quality studies (using a validated scale). For each factor, the proportion of studies that found the factor to be a risk factor, protective factor, or neither was summarized. The number of studies, diagnostic criteria, number of subjects, and average study quality rating provided further context. Whenever possible, a meta-analysis generated pooled odds ratios or mean difference.ResultsThe systematic review included 348 studies. Female sex, gastroenteritis, abuse, stress, psychological disorders, somatic symptoms, and poor sleep were consistent risk factors for developing AP-DGBI in adults and children. In adults, additional risk factors included obesity, smoking, and increased use of medical resources. Protective AP-DGBI factors in adults included social support and optimism; no studies for protective factors were found for children.ConclusionsThere are multiple risk factors for AP-DGBI in adults and children. These include female sex, gastroenteritis, abuse, stress, poor sleep, obesity, psychological disorders, and somatic symptoms. Additional studies are needed in children, on protective factors, and on factors associated with persistence of AP-DGBI.
- Published
- 2022
46. Whole transcriptomic analysis reveals overexpression of salivary gland and cuticular proteins genes in insecticide-resistant Anopheles arabiensis from Western Kenya
- Author
-
Diana Omoke, Lucy Mackenzie Impoinvil, Dieunel Derilus, Stephen Okeyo, Helga Saizonou, Nicola Mulder, Nsa Dada, Audrey Lenhart, Luc Djogbénou, and Eric Ochomo
- Subjects
Insecticide resistance ,Malaria ,Anopheles arabiensis ,RNA-Seq ,Whole transcriptomic sequencing ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background Effective vector control is key to malaria prevention. However, this is now compromised by increased insecticide resistance due to continued reliance on insecticide-based control interventions. In Kenya, we have observed heterogenous resistance to pyrethroids and organophosphates in Anopheles arabiensis which is one of the most widespread malaria vectors in the country. We investigated the gene expression profiles of insecticide resistant An. arabiensis populations from Migori and Siaya counties in Western Kenya using RNA-Sequencing. Centers for Disease Control and Prevention (CDC) bottle assays were conducted using deltamethrin (DELTA), alphacypermethrin (ACYP) and pirimiphos-methyl (PMM) to determine the resistance status in both sites. Results Mosquitoes from Migori had average mortalities of 91%, 92% and 58% while those from Siaya had 85%, 86%, and 30% when exposed to DELTA, ACYP and PMM, respectively. RNA-Seq analysis was done on pools of mosquitoes which survived exposure (‘resistant’), mosquitoes that were not exposed, and the insecticide-susceptible An. arabiensis Dongola strain. Gene expression profiles of resistant mosquitoes from both Migori and Siaya showed an overexpression mainly of salivary gland proteins belonging to both the short and long form D7 genes, and cuticular proteins (including CPR9, CPR10, CPR15, CPR16). Additionally, the overexpression of detoxification genes including cytochrome P450s (CYP9M1, CYP325H1, CYP4C27, CYP9L1 and CYP307A1), 2 carboxylesterases and a glutathione-S-transferase (GSTE4) were also shared between DELTA, ACYP, and PMM survivors, pointing to potential contribution to cross resistance to both pyrethroid and organophosphate insecticides. Conclusion This study provides novel insights into the molecular basis of insecticide resistance in An. arabiensis in Western Kenya and suggests that salivary gland proteins and cuticular proteins are associated with resistance to multiple classes of insecticides.
- Published
- 2024
- Full Text
- View/download PDF
47. Detection of caries lesions using a water-sensitive STIR sequence in dental MRI
- Author
-
Egon Burian, Nicolas Lenhart, Tobias Greve, Jannis Bodden, Gintare Burian, Benjamin Palla, Florian Probst, Monika Probst, Meinrad Beer, Matthias Folwaczny, and Julian Schwarting
- Subjects
Medicine ,Science - Abstract
Abstract In clinical practice, diagnosis of suspected carious lesions is verified by using conventional dental radiography (DR), including panoramic radiography (OPT), bitewing imaging, and dental X-ray. The aim of this study was to evaluate the use of magnetic resonance imaging (MRI) for caries visualization. Fourteen patients with clinically suspected carious lesions, verified by standardized dental examination including DR and OPT, were imaged with 3D isotropic T2-weighted STIR (short tau inversion recovery) and T1 FFE Black bone sequences. Intensities of dental caries, hard tissue and pulp were measured and calculated as aSNR (apparent signal to noise ratio) and aHTMCNR (apparent hard tissue to muscle contrast to noise ratio) in both sequences. Imaging findings were then correlated to clinical examination results. In STIR as well as in T1 FFE black bone images, aSNR and aHTMCNR was significantly higher in carious lesions than in healthy hard tissue (p
- Published
- 2024
- Full Text
- View/download PDF
48. Distributed and Mobile Message Level Relaying/Replaying of GNSS Signals
- Author
-
Lenhart, M., Spanghero, M., and Papadimitratos, P.
- Subjects
Computer Science - Cryptography and Security - Abstract
With the introduction of Navigation Message Authentication (NMA), future Global Navigation Satellite Systems (GNSSs) prevent spoofing by simulation, i.e., the generation of forged satellite signals based on public information. However, authentication does not prevent record-and-replay attacks, commonly termed as meaconing. These attacks are less powerful in terms of adversarial control over the victim receiver location and time, but by acting at the signal level, they are not thwarted by NMA. This makes replaying/relaying attacks a significant threat for GNSS. While there are numerous investigations on meaconing, the majority does not rely on actual implementation and experimental evaluation in real-world settings. In this work, we contribute to the improvement of the experimental understanding of meaconing attacks. We design and implement a system capable of real-time, distributed, and mobile meaconing, built with off-the-shelf hardware. We extend from basic distributed attacks, with signals from different locations relayed over the Internet and replayed within range of the victim receiver(s): this has high bandwidth requirements and thus depends on the quality of service of the available network to work. To overcome this limitation, we propose to replay on message level, including the authentication part of the payload. The resultant reduced bandwidth enables the attacker to operate in mobile scenarios, as well as to replay signals from multiple GNSS constellations and/or bands simultaneously. Additionally, the attacker can delay individually selected satellite signals to potentially influence the victim position and time solution in a more fine-grained manner. Our versatile test-bench, enabling different types of replaying/relaying attacks, facilitates testing realistic scenarios towards new and improved replaying/relaying-focused countermeasures in GNSS receivers.
- Published
- 2022
- Full Text
- View/download PDF
49. DEMO: Relay/Replay Attacks on GNSS signals
- Author
-
Lenhart, M., Spanghero, M., and Papadimitratos, P.
- Subjects
Computer Science - Cryptography and Security - Abstract
Global Navigation Satellite Systems (GNSS) are ubiquitously relied upon for positioning and timing. Detection and prevention of attacks against GNSS have been researched over the last decades, but many of these attacks and countermeasures were evaluated based on simulation. This work contributes to the experimental investigation of GNSS vulnerabilities, implementing a relay/replay attack with off-the-shelf hardware. Operating at the signal level, this attack type is not hindered by cryptographically protected transmissions, such as Galileo's Open Signals Navigation Message Authentication (OS-NMA). The attack we investigate involves two colluding adversaries, relaying signals over large distances, to effectively spoof a GNSS receiver. We demonstrate the attack using off-the-shelf hardware, we investigate the requirements for such successful colluding attacks, and how they can be enhanced, e.g., allowing for finer adversarial control over the victim receiver.
- Published
- 2022
- Full Text
- View/download PDF
50. Enhancing biogas production from food waste and water hyacinth: effect of co-substrates and inoculum ratios
- Author
-
Ibro, Mohammed Kelif, Ancha, Venkata Ramayya, Lemma, Dejene Beyene, and Lenhart, Markus
- Published
- 2023
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.