Symbolic Computing with Incremental Mindmaps to Manage and Mine Data Streams - Some Applications

In our understanding, a mind-map is an adaptive engine that basically works incrementally on the fundament of existing transactional streams. Generally, mind-maps consist of symbolic cells that are connected with each other and that become either stronger or weaker depending on the transactional stream. Based on the underlying biologic principle, these symbolic cells and their connections as well may adaptively survive or die, forming different cell agglomerates of arbitrary size. In this work, we intend to prove mind-maps' eligibility following diverse application scenarios, for example being an underlying management system to represent normal and abnormal traffic behaviour in computer networks, supporting the detection of the user behaviour within search engines, or being a hidden communication layer for natural language interaction.Comment: 4 pages; 4 figure

Novo gênero e nova espécie de Equinóide do Cretáceo (Albiano) da Bacia de Sergipe-Alagoas, Brasil (Echinodermata, Orthopisidae)

Cuscuzispina riachuelensis n.gen. and n.sp. is described from the lower Cretaceous (Albian) Riachuelo Formation, Sergipe Sub-Basin, Northeastern Brazil. Although somewhat similar to another Cretaceous echinoid Orthopsis, C. riachuelensis differs from that genus in its highest test, by the presence of interambulacral depressions, the width of the ambulacral plates near the apical system, and shape of the genital plates. Cuscuzispina’s morphology suggests that this echinoid lived in a protected shallow-water environment, with stabilized sedimentary substrata where it was a grazing feeder.Novo gênero e espécie de Cecidomyiidae (Diptera) associados com Arrabidaea sp. (Bignoniaceae) do Peru. Um novo gênero de mosquito de galhas, Heterodiplosis gen.nov., e uma nova espécie, H. peruviana sp. nov., que induz galhas nas folhas de Arrabidaea sp. (Bignoniaceae) são descritos do Peru (larva, pupa, macho, fêmea e galha)

Environmental Modification and Teacher Mediation: Impact on the Literacy Behaviors of Preschoolers With Special Needs

The purpose of this study was to investigate the impact of modifications to the environment and a teacher mediated intervention in regard to the early literacy behaviors of preschoolers receiving early childhood special education services. There were three classrooms targeted. Out of the three classrooms, there was a focus on nine children with developmental delay. Step one was to complete a classroom assessment to identify the early literacy supports needed for each classroom. Step two was to collect baseline literacy behaviors during center time, a period when children are allowed to choose their activities. Step 3 was to implement the intervention of adding literacy props and a teacher mediation intervention. Results were consistent with previous studies in that the addition of literacy props, paired with teacher mediation, led to an increase in literacy behaviors. Data will be shared in regard to the results of the intervention for both classroom and individual student data

Implementation and Feasibility of an Auricular Acupuncture Intervention for Smoking Cessation in a Residential Spiritual Recovery Program: A Pilot Study

Abstract This study examined the feasibility of recruiting of participants and retention to an auricular acupuncture intervention for smoking cessation at a residential spiritual recovery program for a chemically dependent population in the mid-Atlantic region. The association between beliefs about acupuncture and smoking cessation were also assessed. This was an intervention study guided by the principles of Community Based Participatory Research (CBPR). The National Acupuncture Detoxification Association (NADA) protocol was used as part of the smoking cessation intervention (participants received auricular acupuncture for 40 minutes, 3 times per week for 1 month). Smoking cessation, adherence rate to the treatment plan, and percentages of those who decreased in nicotine dependence were measured as well as any associations between acupuncture beliefs and the previously mentioned variables. In this hard-to-reach population of chemically dependent smokers 86 participants were recruited to participate in the study and 47% (n=40) were retained. Two participants achieved smoking cessation. There were no significant associations between beliefs about acupuncture and decrease in nicotine dependence or adherence to treatment. However, 40% decreased in nicotine dependence. This research demonstrated the feasibility of recruitment of participants and retention to an auricular acupuncture intervention for smoking cessation in a chemically dependent population. Keywords: acupuncture, smoking cessation, feasibility, belief, chemically dependen

Complete mitochondrial genomes of two species of Stichopathes Brook, 1889 (Hexacorallia: Antipatharia: Antipathidae) from Rapa Nui (Easter Island)

We report the complete mitochondrial genomes of two antipatharian species, Stichopathes sp. SCBUCN-8849 and Stichopathes sp. SCBUCN-8850, collected between 120 and 180 m depth off Rapa Nui (∼ −27.1°, −109.4°). The size of the two mitogenomes are 20,389 bp (29.0% A, 15.2% C, 19.9% G, and 35.9% T) and 20,463 bp (29.0% A, 15.3% C, 19.9% G, and 35.8% T), respectively. Both mitogenomes have the classic Hexacorallia gene content of 13 protein-coding, two rRNA, and two tRNA genes plus a COX1 intron with embedded HEG as found in the Antipathidae and other antipatharian families

Better Inputs for Better Outcomes: Using the Interface to Improve e-Rulemaking

We believe that e-rulemaking does indeed have potential to increase both the transparency of, and participation in, regulatory policymaking. We argue in this paper that this potential can be realized only if the public interface at www.regulations.gov is substantially redesigned

Improving Deep Learning Models for Pediatric Low-Grade Glioma Tumors Molecular Subtype Identification Using 3D Probability Distributions of Tumor Location

Background and Purpose: Pediatric low-grade glioma (pLGG) is the most common type of brain tumor in children, and identification of molecular markers for pLGG is crucial for successful treatment planning. Convolutional Neural Network (CNN) models for pLGG subtype identification rely on tumor segmentation. We hypothesize tumor segmentations are suboptimal and thus, we propose to augment the CNN models using tumor location probability in MRI data. Materials and Methods: Our REB-approved retrospective study included MRI Fluid-Attenuated Inversion Recovery (FLAIR) sequences of 143 BRAF fused and 71 BRAF V600E mutated tumors. Tumor segmentations (regions of interest (ROIs)) were provided by a pediatric neuroradiology fellow and verified by a senior pediatric neuroradiologist. In each experiment, we randomly split the data into development and test with an 80/20 ratio. We combined the 3D binary ROI masks for each class in the development dataset to derive the probability density functions (PDF) of tumor location, and developed three pipelines: location-based, CNN-based, and hybrid. Results: We repeated the experiment with different model initializations and data splits 100 times and calculated the Area Under Receiver Operating Characteristic Curve (AUC). The location-based classifier achieved an AUC of 77.90, 95% confidence interval (CI) (76.76, 79.03). CNN-based classifiers achieved AUC of 86.11, CI (84.96, 87.25), while the tumor-location-guided CNNs outperformed the formers with an average AUC of 88.64 CI (87.57, 89.72), which was statistically significant (Student's t-test p-value 0.0018). Conclusion: We achieved statistically significant improvements by incorporating tumor location into the CNN models. Our results suggest that manually segmented ROIs may not be optimal.Comment: arXiv admin note: text overlap with arXiv:2207.1477