Miracle-dz/UniFAR-FTUs huggingface dataset:
RACIAL MICROAGGRESSION EXPERIENCES AND COPING MECHANISMS OF GRADUATE STUDENTS IN SCHOOL PSYCHOLOGY PROGRAMS

Racial Microaggressions and the coping of graduate students of Color in School Psychology programs were examined. A national sample (N = 145) was collected from programs approved by APA and NASP. Two measures were administered to assess racial microaggressions occurrences and coping strategies. Results of the study suggest that there is a difference of racial microaggression experiences by Race. It showed that Black participants experience more racial microaggressions than Asian, Hispanic or Latino/a, Multiracial and White graduate students. Participants preferred positive rather than negative coping strategies when experiencing racial microaggressions. Practical implications to support graduate students of color and future directions for research are discussed.
Role of Phosphatidylinositol-3-Kinase Pathway in Head and Neck Squamous Cell Carcinoma

Activation of the phosphatidylinositol-3-kinase (PI3K) pathway is one of the most frequently observed molecular alterations in many human malignancies, including head and neck squamous cell carcinoma (HNSCC). A growing body of evidence demonstrates the prime importance of the PI3K pathway at each stage of tumorigenesis, that is, tumor initiation, progression, recurrence, and metastasis. Expectedly, targeting the PI3K pathway yields some promising results in both preclinical studies and clinical trials for certain cancer patients. However, there are still many questions that need to be answered, given the complexity of this pathway and the existence of its multiple feedback loops and interactions with other signaling pathways. In this paper, we will summarize recent advances in the understanding of the PI3K pathway role in human malignancies, with an emphasis on HNSCC, and discuss the clinical applications and future direction of this field.
Differentiation of human bone marrow cells into T lymphocytes by in vitro incubation with thymic extracts.

SUMMARY Extracts ofhumanorcalf thymus influence differentiation ofhumanbonemarrow cells invitro. Incubation ofaputative stemcell fraction ofhumanmarrowwith extracts ofthymus foraperiod of2hrledtotheappearance oflymphocytes with surface antigens recognized byahighly specific anti-T-cell antiserum. Toalesser degree, development oflymphocytes having thecapacity toformrosettes with sheep erythrocytes wasobserved. Treatment oftheso-called stemcell fraction withthymic extracts didnotyield cells responsive tomitogenic influences ofphytohaemagglutinin orallogeneic cells. Thismodelshould permit further analyses of immunodeficiency diseases andprovide auseful technique forpurification and analysis ofthymus extracts active withhumanhaematopoietic cells.
Riding Coattails: When Co-Branding Helps versus Hurts Less-Known Brands

New brands often partner with well-known brands under the assumption that they will benefit from the awareness and positive associations that well-known brands yield. However, this associations-transfer explanation may not predict co-branding results when the expected benefits of the co-branded product are presented simultaneously with the co-branding information. In this case, the results of co-branding instead follow the predictions of adaptive-learning theory which posits that consumers may differentially associate each brand with the outcome as a result of cue interaction effects. Three experiments show that the presence of a well-known brand can weaken or strengthen the association between the less-known brand and the co-branding outcome depending on the timing of the presentation of product benefit information. When this information was presented simultaneously with co-branding information (at a delay after co-branding information), the presence of a well-known brand weakened (strengthened) the association of the less-known brand with the outcome and thereby lowered (improved) evaluation of the less-known brand.
Spatio-Temporal Tracking and Phylodynamics of an Urban Dengue 3 Outbreak in São Paulo, Brazil

The dengue virus has a single-stranded positive-sense RNA genome of ∼10.700 nucleotides with a single open reading frame that encodes three structural (C, prM, and E) and seven nonstructural (NS1, NS2A, NS2B, NS3, NS4A, NS4B, and NS5) proteins. It possesses four antigenically distinct serotypes (DENV 1–4). Many phylogenetic studies address particularities of the different serotypes using convenience samples that are not conducive to a spatio-temporal analysis in a single urban setting. We describe the pattern of spread of distinct lineages of DENV-3 circulating in São José do Rio Preto, Brazil, during 2006. Blood samples from patients presenting dengue-like symptoms were collected for DENV testing. We performed M-N-PCR using primers based on NS5 for virus detection and identification. The fragments were purified from PCR mixtures and sequenced. The positive dengue cases were geo-coded. To type the sequenced samples, 52 reference sequences were aligned. The dataset generated was used for iterative phylogenetic reconstruction with the maximum likelihood criterion. The best demographic model, the rate of growth, rate of evolutionary change, and Time to Most Recent Common Ancestor (TMRCA) were estimated. The basic reproductive rate during the epidemics was estimated. We obtained sequences from 82 patients among 174 blood samples. We were able to geo-code 46 sequences. The alignment generated a 399-nucleotide-long dataset with 134 taxa. The phylogenetic analysis indicated that all samples were of DENV-3 and related to strains circulating on the isle of Martinique in 2000–2001. Sixty DENV-3 from São José do Rio Preto formed a monophyletic group (lineage 1), closely related to the remaining 22 isolates (lineage 2). We assumed that these lineages appeared before 2006 in different occasions. By transforming the inferred exponential growth rates into the basic reproductive rate, we obtained values for lineage 1 of R0 = 1.53 and values for lineage 2 of R0 = 1.13. Under the exponential model, TMRCA of lineage 1 dated 1 year and lineage 2 dated 3.4 years before the last sampling. The possibility of inferring the spatio-temporal dynamics from genetic data has been generally little explored, and it may shed light on DENV circulation. The use of both geographic and temporally structured phylogenetic data provided a detailed view on the spread of at least two dengue viral strains in a populated urban area.
EEG theta and Mu oscillations during perception of human and robot actions

The perception of others’ actions supports important skills such as communication, intention understanding, and empathy. Are mechanisms of action processing in the human brain specifically tuned to process biological agents? Humanoid robots can perform recognizable actions, but can look and move differently from humans, and as such, can be used in experiments to address such questions. Here, we recorded EEG as participants viewed actions performed by three agents. In the Human condition, the agent had biological appearance and motion. The other two conditions featured a state-of-the-art robot in two different appearances: Android, which had biological appearance but mechanical motion, and Robot, which had mechanical appearance and motion. We explored whether sensorimotor mu (8–13 Hz) and frontal theta (4–8 Hz) activity exhibited selectivity for biological entities, in particular for whether the visual appearance and/or the motion of the observed agent was biological. Sensorimotor mu suppression has been linked to the motor simulation aspect of action processing (and the human mirror neuron system, MNS), and frontal theta to semantic and memory-related aspects. For all three agents, action observation induced significant attenuation in the power of mu oscillations, with no difference between agents. Thus, mu suppression, considered an index of MNS activity, does not appear to be selective for biological agents. Observation of the Robot resulted in greater frontal theta activity compared to the Android and the Human, whereas the latter two did not differ from each other. Frontal theta thus appears to be sensitive to visual appearance, suggesting agents that are not sufficiently biological in appearance may result in greater memory processing demands for the observer. Studies combining robotics and neuroscience such as this one can allow us to explore neural basis of action processing on the one hand, and inform the design of social robots on the other.
Network action research

Current literature stresses the significance of networks and network theory in both social as well as technical domains. Not only is the role of networked technologies (such as mobile phones and the internet) in everyday life being scrutinized, but network theory is re-shaping an understanding of how social change and community interaction occurs. In this article, I build on these developments to propose network action research as a methodological variant of the action research family. I propose that network action research is a timely and appropriate research methodology to guide studies that involve people, place and technology and to meet the challenges that stem from the changing nature of community interaction and social formations within a network society. I outline how technology can be used to operationalize and support network action research. Examples from two case studies are used to illustrate key aspects of the methodology.
Study on the Early‐Onset Variant of Benign Childhood Epilepsy with Occipital Paroxysms Otherwise Described as Early‐Onset Benign Occipital Seizure Susceptibility Syndrome

Summary: Purpose: We studied the early‐onset variant of benign childhood epilepsy with occipital paroxysms (EVBCEOP) proposed by Panayiotopoulos, to confirm whether his five criteria are sufficient to delineate EVBCEOP as a new epileptic syndrome, as well as to predict a good outcome prospectively at the time of the first examination.
Measurement of Ambient Aerosol Composition During the PMTACS-NY 2001 Using an Aerosol Mass Spectrometer. Part II: Chemically Speciated Mass Distributions Special Issue of Aerosol Science and Technology on Findings from the Fine Particulate Matter Supersites Program

Ambient particulate mass distributions (10 min averages) for nitrate, sulfate, ammonium, and organic particles were obtained during the deployment of the aerosol mass spectrometer (AMS) in the PM2.5 Technology Assessment and Characterization Study–New York (PMTACS–NY) in Queens, New York in summer 2001. Nitrate and sulfate particles were found to be internally mixed and mainly represented by ammonium nitrate and ammonium sulfate. Their average mass distributions are monomodal, with mode diameters of 440 nm and 450 nm and distribution widths around 600 nm. The maximum of the ammonium mass distribution was found at 400 nm and its width was about 550 nm. The average mass distribution of organic particles was bimodal with maxima at 80 nm and 360 nm and widths of 80 nm and 700 nm. While most of these distributions did not exhibit any significant diurnal patterns, the relative intensity of the small particle mode of the organic particles (D p < 120 nm) was found to be most intense during rush-hour times, indicating that the small organic particle fraction is mostly traffic related. Short-time averages of the size distributions, measured for different species independently, showed the ability of the AMS to track the growth and evolution of chemically distinct particles.
Burnout, Job Stress and Job Satisfaction Among Southern Correctional Officers: Perceptions and Causal Factors.

Abstract Perceptions and causes of burnout, job stress and job satisfaction among a representative sample (N = 241) of Alabama correctional officers responding to a survey instrument were subject to analysis. After examining reported levels of burnout, stress and job satisfaction, findings were then compared to those from other studies. Multiple regression procedures were then utilized to identify significant predictors. Results indicated that a number of potentially alterable, organizational factors had a significant impact on officer perceptions; accordingly, several intervention strategies are offered for consideration.
Learning to segment under various forms of weak supervision

Despite the promising performance of conventional fully supervised algorithms, semantic segmentation has remained an important, yet challenging task. Due to the limited availability of complete annotations, it is of great interest to design solutions for semantic segmentation that take into account weakly labeled data, which is readily available at a much larger scale. Contrasting the common theme to develop a different algorithm for each type of weak annotation, in this work, we propose a unified approach that incorporates various forms of weak supervision - image level tags, bounding boxes, and partial labels - to produce a pixel-wise labeling. We conduct a rigorous evaluation on the challenging Siftflow dataset for various weakly labeled settings, and show that our approach outperforms the state-of-the-art by 12% on per-class accuracy, while maintaining comparable per-pixel accuracy.
Automated Aerodynamic Optimization System for SST WIng-Body Configuration

In this paper, wing-body configurations for a next generation Supersonic Transport are designed by means of Multiobjectiv e Evolutionary Algorithms. SST wing-body configurations are designed to reduce the aerodynamic drag and the sonic boom for supersonic flight. To lower the sonic boom strength, the present objective function is to satisfy the equivalent area distribution for low sonic boom proposed by Darden. Wing and fuselage is defined by 131 design variables and optimized at the same time. Structured multiblock grids around SST wing-body configuration are generated automatically and an Euler solver is used to evaluate the aerodynamic performance of SST wing-body configuration. Compromised solutions are found as Pareto solutions. Although they have a variety of fuselage configurations, all of them have a similar wing planform due to the imposed constraints. The present results imply that a lifting surface should be distributed innovatively to match Darden’s distribution for low boom.
Phenotypic Analysis of Prostate-Infiltrating Lymphocytes Reveals TH17 and Treg Skewing

Purpose: Pathologic examination of prostate glands removed from patients with prostate cancer commonly reveals infiltrating CD4+ and CD8+ T cells. Little is known about the phenotype of these cells, despite accumulating evidence suggesting a potential role for chronic inflammation in the etiology of prostate cancer. Experimental Design: We developed a technique that samples the majority of the peripheral prostate through serial needle aspirates. CD4+ prostate-infiltrating lymphocytes (PIL) were isolated using magnetic beads and analyzed for subset skewing using both flow cytometry and quantitative reverse transcription-PCR. The transcriptional profile of fluorescence-activated cell sorted prostate-infiltrating regulatory T cells (CD4+, CD25+, GITR+) was compared with naïve, peripheral blood T cells using microarray analysis. Results: CD4+ PIL showed a paucity of TH2 (interleukin-4–secreting) cells, a surprising finding given the generally accepted association of these cells with chronic, smoldering inflammation. Instead, CD4+ PIL seemed to be skewed towards a regulatory Treg phenotype (FoxP3+) as well as towards the TH17 phenotype (interleukin-17+). We also found that a preponderance of TH17-mediated inflammation was associated with a lower pathologic Gleason score. These protein level data were reflected at the message level, as analyzed by quantitative reverse transcription-PCR. Microarray analysis of pooled prostate-infiltrating Treg revealed expected Treg-associated transcripts (FoxP3, CTLA-4, GITR, LAG-3) as well as a number of unique cell surface markers that may serve as additional Treg markers. Conclusion: Taken together, these data suggest that TH17 and/or Treg CD4+ T cells (rather than TH2 T cells) may be involved in the development or progression of prostate cancer.
The future of high-grade glioma: Where we are and where are we going

High-grade glioma (HGG) are optimally treated with maximum safe surgery, followed by radiotherapy (RT) and/or systemic chemotherapy (CT). Recently, the treatment of newly diagnosed anaplastic glioma (AG) has changed, particularly in patients with 1p19q codeleted tumors. Results of trials currenlty ongoing are likely to determine the best standard of care for patients with noncodeleted AG tumors. Trials in AG illustrate the importance of molecular characterization, which are germane to both prognosis and treatment. In contrast, efforts to improve the current standard of care of newly diagnosed glioblastoma (GB) with, for example, the addition of bevacizumab (BEV), have been largely disappointing and furthermore molecular characterization has not changed therapy except in elderly patients. Novel approaches, such as vaccine-based immunotherapy, for newly diagnosed GB are currently being pursued in multiple clinical trials. Recurrent disease, an event inevitable in nearly all patients with HGG, continues to be a challenge. Both recurrent GB and AG are managed in similar manner and when feasible re-resection is often suggested notwithstanding limited data to suggest benefit from repeat surgery. Occassional patients may be candidates for re-irradiation but again there is a paucity of data to commend this therapy and only a minority of selected patients are eligible for this approach. Consequently systemic therapy continues to be the most often utilized treatment in recurrent HGG. Choice of therapy, however, varies and revolves around re-challenge with temozolomide (TMZ), use of a nitrosourea (most often lomustine; CCNU) or BEV, the most frequently used angiogenic inhibitor. Nevertheless, no clear standard recommendation regarding the prefered agent or combination of agents is avaliable. Prognosis after progression of a HGG remains poor, with an unmet need to improve therapy.
Uncoupling heart cell specification and migration in the simple chordate Ciona intestinalis

The bHLH transcription factor Mesp has an essential but ambiguous role in early chordate heart development. Here, we employ the genetic and morphological simplicity of the basal chordate Ciona intestinalis to elucidate Mesp regulation and function. Characterization of a minimal cardiac enhancer for the Ciona Mesp gene demonstrated direct activation by the T-box transcription factor Tbx6c. The Mesp enhancer was fused to GFP, permitting high-resolution visualization of heart cells as they migrate and divide. The enhancer was also used to drive targeted expression of an activator form of Mesp, which induces heart formation without migration. We discuss the implications of Tbx6-Mesp interactions for the evolution of cardiac mesoderm in invertebrates and vertebrates.
Honeybee propolis extract in periodontal treatment: a clinical and microbiological study of propolis in periodontal treatment.

OBJECTIVE This study was conducted to evaluate by clinical and microbiological parameters the effect of subgingival irrigation with propolis extract. MATERIALS AND METHODS Twenty patients diagnosed with chronic periodontitis, each presenting three non-adjacent teeth with deep pockets, were selected. Subgingival plaque sampling and clinical recording (at baseline) and scaling and root planing was performed. Two weeks later the selected periodontal sites were submitted to one of the following treatments: Irrigation with a hydroalcoholic solution of propolis extract twice a week for 2 weeks (group A); irrigation with a placebo twice a week for 2 weeks (group B); or no additional treatment (group C). Clinical and microbiological data was collected at baseline and after 4, 6, and 8 weeks. RESULTS A decrease in the total viable counts of anaerobic bacteria (P=.007), an increase in the proportion of sites with low levels (≤10⁵ cfu/mL) of Porphyromonas gingivalis (P=.044), and an increase in the number of sites negative for bleeding on probing was observed in group A sites as compared to group B and C sites. CONCLUSION Subgingival irrigation with propolis extract as an adjuvant to periodontal treatment was more effective than scaling and root planing as assessed by clinical and microbiological parameters.
The Coverage Problem in a Wireless Sensor Network

One of the fundamental issues in sensor networks is the coverage problem, which reflects how well a sensor network is monitored or tracked by sensors. In this paper, we formulate this problem as a decision problem, whose goal is to determine whether every point in the service area of the sensor network is covered by at least k sensors, where k is a given parameter. The sensing ranges of sensors can be unit disks or non-unit disks. We present polynomial-time algorithms, in terms of the number of sensors, that can be easily translated to distributed protocols. The result is a generalization of some earlier results where only k = 1 is assumed. Applications of the result include determining insufficiently covered areas in a sensor network, enhancing fault-tolerant capability in hostile regions, and conserving energies of redundant sensors in a randomly deployed network. Our solutions can be easily translated to distributed protocols to solve the coverage problem.
Early Childhood Curriculum: Developmental Bases for Learning and Teaching

1. The Changing Role of the Teacher in Developing Curriculum for Diverse Populations. 2. Historical and Theoretical Bases for Appropriate Programs in Early Childhood Settings. 3. The Need for Quality Programs in Early Childhood Education. 4. Developmental Characteristics of Young Children from Birth to Eight Years: Implications for Learning. 5. Organizing Infant-Toddler Programs. 6. Infant-Toddler Curriculum: Birth to Age Two. 7. A Developmental Model for Preschool Programs. 8. Preschool Curriculum: Ages Three to Five: Language and Cognitive Development. 9. Preschool Curriculum: Ages Three to Five: Social and Physical Development. 10. A Model for Programs for Children Ages Five to Eight. 11. The Transitional Curriculum: Ages Five to Eight: Language Arts, Mathematics, and Science. 12. The Transitional Curriculum: Ages Five to Eight: Social Studies and Physical Education. 13. Teaching in the Real World. Appendixes.
Genetic Analyses of a Three Generation Family Segregating Hirschsprung Disease and Iris Heterochromia

We present the genetic analyses conducted on a three-generation family (14 individuals) with three members affected with isolated-Hirschsprung disease (HSCR) and one with HSCR and heterochromia iridum (syndromic-HSCR), a phenotype reminiscent of Waardenburg-Shah syndrome (WS4). WS4 is characterized by pigmentary abnormalities of the skin, eyes and/or hair, sensorineural deafness and HSCR. None of the members had sensorineural deafness. The family was screened for copy number variations (CNVs) using Illumina-HumanOmni2.5-Beadchip and for coding sequence mutations in WS4 genes (EDN3, EDNRB, or SOX10) and in the main HSCR gene (RET). Confocal microscopy and immunoblotting were used to assess the functional impact of the mutations. A heterozygous A/G transition in EDNRB was identified in 4 affected and 3 unaffected individuals. While in EDNRB isoforms 1 and 2 (cellular receptor) the transition results in the abolishment of translation initiation (M1V), in isoform 3 (only in the cytosol) the replacement occurs at Met91 (M91V) and is predicted benign. Another heterozygous transition (c.-248G/A; -predicted to affect translation efficiency-) in the 5′-untranslated region of EDN3 (EDNRB ligand) was detected in all affected individuals but not in healthy carriers of the EDNRB mutation. Also, a de novo CNVs encompassing DACH1 was identified in the patient with heterochromia iridum and HSCR Since the EDNRB and EDN3 variants only coexist in affected individuals, HSCR could be due to the joint effect of mutations in genes of the same pathway. Iris heterochromia could be due to an independent genetic event and would account for the additional phenotype within the family.