Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Posterior Subtenon Triamcinolone Acetonide Injection on Diabetic Macular Edema Refractory to Intravitreal Bevacizumab Injection

Purpose To evaluate the effects of posterior subtenon triamcinolone acetonide injection on refractory diabetic macular edema (DME) after intravitreal bevacizumab (IVB) injection failure. Methods Patients with DME and central subfield thickness (CST) >300 µm who did not respond to IVB injections were retrospectively included. Specifically, we enrolled patients who were diagnosed with refractory DME and who experienced an increase in CST after 1 to 2 IVB injections or no decrease after ≥3 consecutive IVB injections. One clinician injected 20 mg of triamcinolone acetonide into the posterior subtenon space. All patients received ophthalmic examinations at baseline and at 2, 4, and 6 months post-baseline. Examinations included Snellen visual acuity, intraocular pressure, and spectral-domain optical coherence tomography. Results Forty eyes of 34 patients were included. The average baseline CST was 476 µm. The average CST decreased to 368 µm at 2 months, 374 µm at 4 months, and 427 µm at 6 months (p < 0.001 for all results, Wilcoxon signed-rank test). The average intraocular pressure increased from 15.50 to 16.92 mmHg at 2 months but decreased to 16.30 mmHg at 4 months and 15.65 mmHg at 6 months. Logarithm of the minimum angle of resolution visual acuity improved from 0.56 to 0.50 at 2 months (p = 0.023), 0.50 at 4 months (p = 0.083), and 0.48 at 6 months (p = 0.133, Wilcoxon signed-rank test). No complications were detected. Conclusions Posterior subtenon triamcinolone acetonide is an effective and safe treatment for reducing CST in DME refractory to IVB.
Opening the Doors to a Global Classroom: An International Social Media Collaboration in North American Colleges & Teachers of Agriculture, Special Issue: Globalization: Implications for Teaching and Learning in Post-secondary Agricultural Education

A social media platform (ValuePulse) linked California agribusiness undergraduates in a marketing class to students in a marketing course in Ireland. The social media platform was used to create a combined group allowing students in both classes to contribute to discussion board posts on current news articles related to marketing. Instructors from each course alternatively posted articles. A survey tool was used to gauge student perceptions of the experience. Results were compared to a control group of California undergraduates using the same social media platform to discuss articles related to their courses, but without the international contingent. Survey results show an increased level of engagement by the international collaboration group. A greater proportion of students in the international collaboration said they learned from their classmates’ comments on the discussion board (73% to 86%) and said that they found the experience rewarding. These results are consistent with prior studies on the internationalization of higher education classrooms and suggest vast potential associated with the incorporation of technology-aided global classrooms.
Learning First-Order Logic Embeddings via Matrix Factorization

Many complex reasoning tasks in Artificial Intelligence (including relation extraction, knowledge base completion, and information integration) can be formulated as inference problems using a probabilistic first-order logic. However, due to the discrete nature of logical facts and predicates, it is challenging to generalize symbolic representations and represent first-order logic formulas in probabilistic relational models. In this work, we take a rather radical approach: we aim at learning continuous low-dimensional embeddings for first-order logic from scratch. In particular, we first consider a structural gradient based structure learning approach to generate plausible inference formulas from facts; then, we build grounded proof graphs using background facts, training examples, and these inference formulas. To learn embeddings for formulas, we map the training examples into the rows of a binary matrix, and inference formulas into the columns. Using a scalable matrix factorization approach, we then learn the latent continuous representations of examples and logical formulas via a low-rank approximation method. In experiments, we demonstrate the effectiveness of reasoning with first-order logic embeddings by comparing with several state-of-the-art baselines on two datasets in the task of knowledge base completion.
Parallelizing Molecular Dynamics Programs for Distributed Memory Machines: An Application of the Cha

Abstract : CHARMM "Chemistry at Harvard Macromolecular Mechanics" is a program that is widely used to model and simulate macromolecular systems. CHARMM has been parallelized by using the CHAOS runtime support library on distributed memory architectures. This implementation distributes both data and computations over processors. This data-parallel strategy should make it possible to simulate very large molecules on large numbers of processors. In order to minimize communication among processors and to balance computational load, a variety of partitioning approaches are employed to distribute the atoms and computations over processors. In this implementation, atoms are partitioned based on geometrical positions and computational load by using unweighted or weighted recursive coordinate bisection. The experimental results reveal that taking computational load into account is essential. The performance of two iteration partitioning algorithms, atom decomposition and force decomposition, is also compared. A new irregular force decomposition algorithm is introduced and implemented. The CHAOS library is designed to facilitate parallelization of irregular applications. This library "1" couples partitioners to the application programs, "2" remaps data and partitions work among processors, and "3" optimizes interprocessor communications. This paper presents an application of CHAOS that can be used to support efficient execution of irregular problems on distributed memory machines.
The Relationship between the Emotional Intelligence and Mental Skills in Iranian Elite Male Volleyball Players (Case Study Semnan Province)

This case study aims analyzing the relationship between the emotional intelligence (EI) and mental skills in elite male volleyball players in Semnan province at IRAN. To do this survey, 35 elite volleyball players in Semnan Who were chosen. OMSAT-3 and T. Bradberry & J. Greaves (2005) questionnaire were used to collect data. Correlation analysis results between the variables (P<0.05) showed that: there is a significant positive relationship between the emotional intelligence and mental skills components such as: Goal setting, self-confidence, commitment, relaxation, focusing, Imagery, and mental practice. But there was no significant relationship between the emotion intelligence and mental skills components: Stress control, fear control, Activation, Refocusing, and Competition planning.
Rethinking the Data Center Networking: Architecture, Network Protocols, and Resource Sharing

Large-scale data centers enable the new era of cloud computing and provide the core infrastructure to meet the computing and storage requirements for both enterprise information technology needs and cloud-based services. To support the ever-growing cloud computing needs, the number of servers in today's data centers are increasing exponentially, which in turn leads to enormous challenges in designing an efficient and cost-effective data center network. With data availability and security at stake, the issues with data center networks are more critical than ever. Motivated by these challenges and critical issues, many novel and creative research works have been proposed in recent years. In this paper, we investigate in data center networks and provide a general overview and analysis of the literature covering various research areas, including data center network interconnection architectures, network protocols for data center networks, and network resource sharing in multitenant cloud data centers. We start with an overview on data center networks and together with its requirements navigate the data center network designs. We then present the research literature related to the aforementioned research topics in the subsequent sections. Finally, we draw the conclusions.
Anthropometry of fetal growth in rural Malawi in relation to maternal malaria and HIV status

Objective: To describe fetal growth centiles in relation to maternal malaria and HIV status, using cross sectional measurements at birth. Design: A cross sectional study of pregnant women and their babies. Data on maternal socioeconomic status and current pregnancy, including HIV status and newborn anthropometry, were collected. Malaria parasitaemia was assessed in maternal peripheral and placental blood, fetal haemoglobin was measured in cord blood, and maternal HIV status was determined. Setting: Two district hospitals in rural southern Malawi, between March 1993 and July 1994. Outcome variables: Newborn weight, length, Rohrer’s ponderal index. Results: Maternal HIV (adjusted odds ratio (AOR) 1.76 (95% confidence interval 1.04 to 2.98)) and first pregnancy (AOR 1.83 (1.10 to 3.05)) were independently associated with low weight for age. Placental or peripheral parasitaemia at delivery (AOR 1.73 (1.02 to 2.88)) and primigravidae (AOR 2.13 (1.27 to 3.59)) were independently associated with low length for age. Maternal malaria at delivery and primiparity were associated with reduced newborn weight and length but not with disproportionate growth. Maternal HIV infection was associated only with reduced birth weight. The malaria and parity effect occurred throughout gestational weeks 30–40, but the HIV effect primarily after 38 weeks gestation. Conclusion: Fetal growth retardation in weight and length commonly occurs in this highly malarious area and is present from 30 weeks gestation. A maternal HIV effect on fetal weight occurred after 38 weeks gestation.
Dopamine Modulates Serotonin Innervation in the Drosophila Brain

Parkinson’s disease (PD) results from a progressive degeneration of the dopaminergic nigrostriatal system leading to a decline in movement control, with resting tremor, rigidity and postural instability. Several aspects of PD can be modeled in the fruit fly, Drosophila melanogaster, including α-synuclein-induced degeneration of dopaminergic neurons, or dopamine (DA) loss by genetic elimination of neural DA synthesis. Defective behaviors in this latter model can be ameliorated by feeding the DA precursor L-DOPA, analogous to the treatment paradigm for PD. Secondary complication from L-DOPA treatment in PD patients are associated with ectopic synthesis of DA in serotonin (5-HT)-releasing neurons, leading to DA/5-HT imbalance. Here we examined the neuro-anatomical adaptations resulting from imbalanced DA/5-HT signaling in Drosophila mutants lacking neural DA. We find that, similar to rodent models of PD, lack of DA leads to increased 5-HT levels and arborizations in specific brain regions. Conversely, increased DA levels by L-DOPA feeding leads to reduced connectivity of 5-HT neurons to their target neurons in the mushroom body (MB). The observed alterations of 5-HT neuron plasticity indicate that loss of DA signaling is not solely responsible for the behavioral disorders observed in Drosophila models of PD, but rather a combination of the latter with alterations of 5-HT circuitry.
Weak Classifier for Density Estimation in Eye Localization and Tracking

In this paper, we propose a fast weak classifier that can detect and track eyes in video sequences. The approach relies on a least-squares detector based on the inner product detector (IPD) that can stimate a probability density distribution for a feature’s location–which fits naturally with a Bayesian estimation cycle, such as a Kalman or particle filter. As a least-squares sliding window detector, it possesses tolerance to small variations in the desired pattern while maintaining good generalization capabilities and computational efficiency. We propose two approaches to integrating the IPD with a particle filter tracker. We use the BioID, FERET, LFPW, and COFW public datasets as well as five manually annotated high-definition video sequences to quantitatively evaluate the algorithms’ performance. The video data set contains four subjects, different types of backgrounds, blurring due to fast motion, and occlusions. All code and data are available.
Effects of Education on Executive Functioning and its Trainability

Age-related changes in executive functioning are a main source of cognitive aging. High cognitive reserve, as well as training interventions, have been shown to protect against age-related decline in executive functions. Whether education as one prominent marker of cognitive reserve has a protective effect is, however, ambiguous. Furthermore, little is known about a potential interplay of cognitive reserve and training interventions. The present study, therefore, examines (a) the influence of education on focus-switching as a recently identified executive control process and (b) the impact of education on its trainability. To this end, extreme groups of high- and low-educated younger (age 19–35) and older (age 59–80) adults were selected from a larger training study on focus-switching. Results show that whereas education influences older adults' cognitive performance in focus-switching in a protective way, no effect of education emerged in younger age participants. Training gains, however, are not affected by educational level in either age group.
In vitro effect of fluoroquinolones on theophylline metabolism in human liver microsomes

Some quinolone antibiotics cause increases in levels of theophylline in plasma that lead to serious adverse effects. We investigated the mechanism of this interaction by developing an in vitro system of human liver microsomes. Theophylline (1,3-dimethylxanthine) was incubated with human liver microsomes in the presence of enoxacin, ciprofloxacin, norfloxacin, or ofloxacin. Theophylline, its demethylated metabolites (3-methylxanthine and 1-methylxanthine), and its hydroxylated metabolite (1,3-dimethyluric acid) were measured by high-pressure liquid chromatography, and Km and Vmax values were estimated. Enoxacin and ciprofloxacin selectively blocked the two N demethylations; they significantly inhibited the hydroxylation only at high concentrations. Norfloxacin and ofloxacin caused little or no inhibition of the three metabolites at comparable concentrations. The extent of inhibition was reproducible in five different human livers. Inhibition enzyme kinetics revealed that enoxacin caused competitive and mixed competitive types of inhibition. The oxo metabolite of enoxacin caused little inhibition of theophylline metabolism and was much less potent than the parent compound. Nonspecific inhibition of cytochrome P-450 was ruled out since erythromycin N demethylation (cytochrome P-450 mediated) was unaffected in the presence of enoxacin. These in vitro data correlate with the clinical interaction described for these quinolones and theophylline. We conclude that some quinolones are potent and selective inhibitors of specific isozymes of human cytochrome P-450 that are responsible for theophylline metabolism. This in vitro system may be useful as a model to screen similar compounds for early identification of potential drug interactions.
Blood and Marrow Cultures as Indicators of Bone Contamination In Cadaver Donors

Of 770 cadaver bone donors evaluated, 185 had positive blood or ilium marrow aspirate cultures. These donors were matched with an immediately preceding or subsequent donor with negative blood and marrow cultures. Donors with cultures positive for skin contaminants only were not included in the study. Samples of the blood and bone marrow, surface swab cultures, and cultures of tissue samples of the excised skeletal tissues were obtained at the time of tissue procurement. There were 88 (48%) donors with similar microbial species recovered from the blood and ilium marrow. These donors had a higher rate of positive bone cultures (30%) than donors with positive blood (15%) or marrow cultures only (11%) or donors with negative blood and marrow culture results (7.3%). Recovery of similar isolates from the blood and marrow had a positive predictive value of 72% for the isolation of the same types of organisms from the excised tissues compared with 38% for donors with positive blood cultures only. Although not absolute predictors of tissue contamination, combined blood and bone marrow cultures were more reliable indicators of tissue contamination than blood cultures alone.
Count Nouns, Adjectives, and Perceptual Properties in Children's Novel Word Interpretations

Three-year-old children were shown a novel exemplar toy and asked to judge test items that differed from the exemplar in shape, coloration, or material substance. In the count noun condition, children judged whether test items had the same novel name as the exemplar. In the adjective condition, children judged whether a test hern could be described by the same novel adjective as the exemplar. The results of 3 experiments indicated that children systematically attend to shape in interpreting novel count nouns, but their interpretation of adjectives is contextually determined. By the age of 6, children have acquired roughly 14,000 words (Templin, 1957). How do they acquire so many words so fast? If one views the child's acquisition of word-referent relations as an instance of unbiased hypothesis testing, then the rate of early word acquisition is difficult to explain. As Quine (1960) pointed out, the use of a word in the context of some scene provides evidence consistent with many hypotheses, only one of which will usually be correct. Chomsky (1986) similarly argued that if language learners were free to form any possible hypotheses about intended meaning from spoken language, then it would be unlikely that they would learn language as rapidly as they do because it would be unlikely that they would test the correct hypotheses early in language learning by happenstance alone. Chomsky argued that the rapid and error-free language learning that we observe in children requires that children be biased to entertain some hypotheses more than others. This idea has motivated much research on children's early word learning. Developmentalists have shown that children's novel word extensions are constrained or biased in certain directions. For example, young children appear biased to interpret count nouns as referring to object categories and not individual objects (Katz, Baker, & MacNamara, 1974) or thematic relations between objects (Markman & Hutchinson, 1984; Waxman & Kosowski, 1990). Children are biased to allow only one label for a single referent (mutual exclusivity, e.g., Markman, 1989; Markman & Wachtel, 1988), and they are biased to attend to shape when extending a novel count noun across novel objects (Landau, Smith, & Jones, 1988). The existence of these biases is sometimes cited as an explanation of rapid word growth; the idea is that word learning proceeds as fast as it does precisely because word learning biases exist.
Expanding the ‘social’ in ‘social identity’

ABSTRACT Not enough consideration has been given by some texts in the field of ‘social identity’ to the task of defining society, which is, after all, the notion behind the first half of the field's name. For these particular texts, one very basic definition – ‘society is human interaction’ – is left to stand alone. This paper does not challenge the importance of any of the attempts by these texts (or by any other texts in the field) to describe and analyze the plethora of identities being promoted, invented, or rejected around the world. Rather, it focuses on only the ‘social’ component in ‘social identity’, arguing that the field as a whole would be stronger if all its contributors, or at least the great majority of them, granted this component a more important role. In particular, the paper offers the field three definitional possibilities it might usefully add to the ‘society is human interaction’ definition.
THE EFFECT OF PERCEIVED SERVICE QUALITY AND TRUST ON LOYALTY: CUSTOMERS PERSPECTIVES ON MOBILE INTERNET ADOPTION

The Internet application has grown at a very impressive rate. Indonesia as developing country has also experiencing in the impressive growth rate of internet adoption. The objective of this study is to analyze the relationships between service quality, trust, and loyalty as perceived by customers in the mobile internet context. In particular, service quality is conceptualized as a multi dimension concept consisting of seven dimensions. Partial Least Squares (PLS) analysis was used to test the proposed hypotheses. By examining the empirical data from 186 respondents in Yogyakarta, Indonesia, results reveal that there was an indirect relationship between service quality and loyalty through trust. Among the seven dimensions of service quality, contextual quality was found to be the strongest contributors of service quality while device quality was the least.
Competence to Stand Trial: Special Challenges for the Population Diagnosed With Intellectual Disabilities and Borderline Intellectual Functioning

This study contributes to the psychometric validity of the psychological tests most frequently used to determine competency to stand trial for people with intellectual disabilities. First, the relationship between The MacArthur Competence Assessment Tool (MacCAT-CA) and the Competence Assessment to Stand Trial for Defendants with Intellectual Disabilities (CAST-MR) was analyzed, including their respective determination of competency for currently adjudicated adults with intellectual disabilities. Second, the relationship between performance on the Malingered Incompetence Legal Knowledge test (MILK), a new measure designed to evaluate malingering by people with intellectual disabilities in a legal context, and the Test of Memory Malingering (TOMM) was explored. Additionally, this study contributes to the development of norms for both the MacCAT-CA and the MILK in a population with intellectual disabilities. Results demonstrate that was not significant agreement between the MacCAT-CA and the CAST-MR in determining adjudicative competency in the study population. The lack of Competent to Stand Trial iv convergent validity between these two commonly used measures raises questions about test validity and whether individuals with intellectual disabilities are held to a lower standard for adjudicative competence. Further, a significant correlation between the TOMM and the MILK suggests that evidence of exaggerated cognitive impairments does suggest feigned ignorance of legal knowledge. The evidence from this study suggests that CST evaluations with an ID population results in different findings based on the measure that the examiner chooses. Consequently, adherence to appropriate and standardized measures is needed in forensic psychology to ensure the quality of the evaluation. Competent to Stand Trial v