Miracle-dz/UniFAR-FTUs huggingface dataset:
Colour thresholds in a coral reef fish

Coral reef fishes are among the most colourful animals in the world. Given the diversity of lifestyles and habitats on the reef, it is probable that in many instances coloration is a compromise between crypsis and communication. However, human observation of this coloration is biased by our primate visual system. Most animals have visual systems that are ‘tuned’ differently to humans; optimized for different parts of the visible spectrum. To understand reef fish colours, we need to reconstruct the appearance of colourful patterns and backgrounds as they are seen through the eyes of fish. Here, the coral reef associated triggerfish, Rhinecanthus aculeatus, was tested behaviourally to determine the limits of its colour vision. This is the first demonstration of behavioural colour discrimination thresholds in a coral reef species and is a critical step in our understanding of communication and speciation in this vibrant colourful habitat. Fish were trained to discriminate between a reward colour stimulus and series of non-reward colour stimuli and the discrimination thresholds were found to correspond well with predictions based on the receptor noise limited visual model and anatomy of the eye. Colour discrimination abilities of both reef fish and a variety of animals can therefore now be predicted using the parameters described here.
Working memory for time intervals in auditory rhythmic sequences

The brain can hold information about multiple objects in working memory. It is not known, however, whether intervals of time can be stored in memory as distinct items. Here, we developed a novel paradigm to examine temporal memory where listeners were required to reproduce the duration of a single probed interval from a sequence of intervals. We demonstrate that memory performance significantly varies as a function of temporal structure (better memory in regular vs. irregular sequences), interval size (better memory for sub- vs. supra-second intervals), and memory load (poor memory for higher load). In contrast memory performance is invariant to attentional cueing. Our data represent the first systematic investigation of temporal memory in sequences that goes beyond previous work based on single intervals. The results support the emerging hypothesis that time intervals are allocated a working memory resource that varies with the amount of other temporal information in a sequence.
The cardiac autonomic nervous system: A target for modulation of atrial fibrillation

The cardiac autonomic nerve system (CANS) is a potentially potent modulator of the initiation and perpetuation of atrial fibrillation (AF). In this review, we focus on the relationship between the autonomic nervous system (ANS) and the pathophysiology of AF and the potential benefit and limitations of neuromodulation in the management of this arrhythmia from eight aspects. We conclude that Activation and Remodeling of CANS involved in the initiation and maintenance of AF. The network control mechanism, innervation regions, and sympathetic/parasympathetic balance play an important role in AF substrate. And the formation of Complex Fractional Atrial Electrograms also related to CANS activity. In addition, modulating CANS function by potential therapeutic applications include ganglionated plexus ablation, renal sympathetic denervation, and low‐level vagal nerve stimulation, may enable AF to be controlled. Although the role of the ANS has long been recognized, a better understanding of the complex interrelationships of the various components of the CANS will lead to improvement of treatments for this common arrhythmia.
Examining Emotional Intelligence and Leadership

Varying theories have been presented about the relationship of emotional intelligence to transformational leadership. The present study examines the extent to which a self report measure of emotional intelligence, based upon an ability model, can predict each of the four components of transformational leadership. This study further considers the extent to which the quality of a leader-follower dyad’s Leader-Member Exchange relationship can moderate the relationship between emotional intelligence and transformational leadership. Study results demonstrate that emotional intelligence is related to several components of transformational leadership, and that both the quality of the Leader-Member Exchange relationship and the tenure of the follower can moderate the relationship between emotional intelligence and some of the components of transformational leadership.
Cisco Systems NetFlow Services Export Version 9

This document specifies the data export format for version 9 of Cisco Systems' NetFlow services, for use by implementations on the network elements and/or matching collector programs. The version 9 export format uses templates to provide access to observations of IP packet flows in a flexible and extensible manner. A template defines a collection of fields, with corresponding descriptions of structure and semantics. This memo provides information for the Internet community.
Respiratory gating for proton beam scanning versus photon 3D-CRT for breast cancer radiotherapy

Abstract Background Respiratory gating and proton therapy have both been proposed to reduce the cardiopulmonary burden in breast cancer radiotherapy. This study aims to investigate the additional benefit of proton radiotherapy for breast cancer with and without respiratory gating. Material and methods Twenty left-sided patients were planned on computed tomography (CT)-datasets acquired during enhanced inspiration gating (EIG) and free-breathing (FB), using photon three-dimensional conformal radiation therapy (3D-CRT) and scanned proton beams. Ten patients received treatment to the whole breast only (WBO) and 10 were treated to the breast and the regional lymph nodes (BRN). Dosimetric parameters characterizing the coverage of target volumes and the cardiopulmonary burden were compared using a paired, two-tailed Student’s t-test. Results Protons ensured comparable or better target coverage than photons in all patients during both EIG and FB. The heterogeneity index decreased from 12% with photons to about 5% with protons. The mean dose to the ipsilateral lung was reduced in BRN patients from 12 Gy to 7 Gy (RBE) in EIG and from 14 Gy to 6–7 Gy (RBE) in FB, while for WBO patients all values were about 5–6 Gy (RBE). The mean dose to heart decreased by a factor of four in WBO patients [from 1.1 Gy to 0.3 Gy (RBE) in EIG and from 2.1 Gy to 0.5 Gy (RBE) in FB] and 10 in BRN patients [from 2.1 Gy to 0.2 Gy (RBE) in EIG and from 3.4 Gy to 0.3 Gy (RBE) in FB]. Similarly, the mean and the near maximum dose to the left anterior descending artery (LAD) were significantly lower (p < 0.05) with protons in comparison with photons. Conclusion Proton spot scanning has a high potential to reduce the irradiation of organs at risk and other normal tissues for most patients, beyond what could be achieved with EIG and photon therapy. The largest dose sparing has been seen for BRN patients, both in terms of cardiopulmonary burden and integral dose.
The matri-cellular proteins ‘cysteine-rich, angiogenic-inducer, 61’ and ‘connective tissue growth factor’ are regulated in experimentally-induced sepsis with multiple organ dysfunction

Organ failure is a severe complication in sepsis for which the pathophysiology remains incompletely understood. Recently, the matri-cellular cysteine-rich, angiogenic induced, 61 (Cyr61/CCN1); connective tissue growth factor (Ctgf/CCN2); and nephroblastoma overexpressed gene (Nov/CCN3) (CCN)-protein family have been attributed organ-protective properties. Their expression is sensitive to mediators of sepsis pathophysiology but a potential role in sepsis remains elusive. To provide an initial assessment, 50 rats were subjected to 18 h of cecal-ligation and puncture or sham operation. Hepatic and pulmonary CCN1 mRNA displayed an average 7.4- and 3.3-fold induction, while its cardiac expression was unchanged. The changes coincided with excessive hepatic and pulmonary inflammatory gene activation and a restricted cardiac inflammation. Furthermore, hepatocytes displayed a dosage-dependent CCN1 mRNA response in vitro, supporting a cytokine-mediated CCN1 regulation in sepsis. CCN2 mRNA was 2.2-fold induced in the liver, while 2.0-fold and 1.4-fold repressed in the heart and lung. Meanwhile, it did not respond to TNF-α exposure in vitro, which indicates different means of regulation than for CCN1. Taken together, this study provides the first evidence for multi-organ regulation of CCN1 and CCN2 in early stages of sepsis, and implies the eruption of inflammatory mediators as a potential mechanism behind the observed CCN1 regulation.
Psychometric properties and factor structure of the computerized PTSD scale -multimedia version among adult samples reporting trauma

This study investigated the psychometric properties of the Computerized PTSD Scale-Multimedia Version (CPS-M: Richard, Mayo, Bohn, Haynes, & lll Kolman, 1997), a self-administered adaptation of the Clinician-Administered PTSD Scale (CAPS: Blake, Weathers, Nagy, Kaloupek, Klauminzer, Charney, & Keane, 1990). The sample included 161 participants from both a veteran's hospital and from a large urban outpatient HMO system who reported a history of trauma. Indices of internal consistency reliability (i.e., inter-item correlations, item-scale correlations, coefficient alpha) and temporal stability fell in satisfactory ranges. To assess convergent and discriminant validity, correlations were calculated between the CPSM and the following instruments: Purdue PTSD Scale, Beck Depression Inventory II (BDI-II), Hospital Anxiety and Depression Scale (HADS), Yale-Brown Obsessive Compulsive Scale (YBOCS), and Antisocial Behavior Inventory (ASBI). As hypothesized, the CMS-M was most strongly correlated with another measure of PTSD (r = .90) followed by the BDI-II (r = .85), HADS (r = .79), YBOCS (r = .71), and ASBI (r = .25). Confirmatory factor analysis procedures were used to assess fit of a set of nested measurement models. The fit of four different measurement models was tested. An oblique four-factor, first order model composed of reexperiencing (Bl-B5), avoidance (Cl-C2), dysphoria (C3-C7 & Dl-D3), and hyperarousal (D4D5) provided the best fit to the data.
Clinical utility of patiromer, sodium zirconium cyclosilicate, and sodium polystyrene sulfonate for the treatment of hyperkalemia: an evidence-based review

Introduction Hyperkalemia is a serious medical condition that often manifests in patients with chronic kidney disease and heart failure. Renin–angiotensin–aldosterone system inhibitors are known to improve outcomes in these disease states but can also cause drug-induced hyperkalemia. New therapeutic options exist for managing hyperkalemia in these patients which warrant evidence-based evaluation. Aim The objective of this article was to review the efficacy and safety evidence for patiromer, sodium zirconium cyclosilicate (ZS9), and sodium polystyrene sulfonate (SPS) for the treatment of hyperkalemia. Evidence review Current treatment options to enhance potassium excretion are SPS and loop diuretics, which are complicated by ambiguous efficacy and known toxicities. Patiromer and ZS9 are new agents designed to address this treatment gap. Both unabsorbable compounds bind potassium in the gastrointestinal (GI) tract to facilitate fecal excretion. The capacity to bind other medications in the GI tract infers high drug–drug interaction potential, which has been demonstrated with patiromer but not yet investigated with ZS9 or SPS. Phase II and III clinical trials of patiromer and ZS9 demonstrated clear evidence of a dose-dependent potassium-lowering effect and the ability to initiate, maintain, or titrate renin–angiotensin–aldosterone system inhibitors. There is limited evidence base for SPS: two small clinical trials indicated potassium reduction in chronic hyperkalemia. All agents may cause adverse GI effects, although they are less frequent with ZS9. Concerns remain for SPS to cause rare GI damage. Electrolyte abnormalities occurred with patiromer and SPS, whereas urinary tract infections, edema, and corrected QT-interval prolongations were reported with ZS9. Conclusion Patiromer and ZS9 have improved upon the age-old standard SPS for the treatment of hyperkalemia. Additional research should focus on drug–drug interactions in patients on multiple medications, incidence of rare adverse events, and use in high-risk populations.
Sugary Soda Consumption and Albuminuria: Results from the National Health and Nutrition Examination Survey, 1999–2004

BACKGROUND End-stage renal disease rates rose following widespread introduction of high fructose corn syrup in the American diet, supporting speculation that fructose harms the kidney. Sugar-sweetened soda is a primary source of fructose. We therefore hypothesized that sugary soda consumption was associated with albuminuria, a sensitive marker for kidney disease. METHODOLOGY/PRINCIPAL FINDINGS Design was a cross-sectional analysis. Data were drawn from the National Health and Nutrition Examination Survey (NHANES), 1999-2004. The setting was a representative United States population sample. Participants included adults 20 years and older with no history of diabetes mellitus (n = 12,601); after exclusions for missing outcome and covariate information (n = 3,243), the analysis dataset consisted of 9,358 subjects. Exposure was consumption of two or more sugary soft drinks, based on 24-hour dietary recall. The main outcome measure was Albuminuria, defined by albumin to creatinine ratio cutpoints of >17 mg/g (males) and >25 mg/g (females). Logistic regression adjusted for confounders (diet soda, age, race-ethnicity, gender, poverty). Interactions between age, race-ethnicity, gender, and overweight-obesity were explored. Further analysis adjusted for potential mediators: energy intake, basal metabolic rate, obesity, hypertension, lipids, serum uric acid, smoking, energy expenditure, and glycohemoglobin. Alternative soda intake definitions and cola consumption were employed. RESULTS Weighted albuminuria prevalence was 11%, and 17% consumed 2+ sugary soft drinks/day. The confounder-adjusted odds ratio for sugary soda was 1.40 (95% confidence interval: 1.13, 1.74). Associations were modified by gender (p = 0.008) and overweight-obesity (p = 0.014). Among women, the OR was 1.86 (95% CI: 1.37, 2.53); the OR among males was not significant. In the group with body mass under 25 kg/m(2), OR = 2.15 (95% confidence interval: 1.42, 3.25). Adjustment for potential mediators and use of alternative definitions of albuminuria and soda consumption did not appreciably change results. Diet sodas were not associated with albuminuria. CONCLUSIONS Findings suggest that sugary soda consumption may be associated with kidney damage, although moderate consumption of 1 or fewer sodas does not appear to be harmful. Additional studies are needed to assess whether HFCS itself, overall excess intake of sugar, or unmeasured lifestyle and confounding factors are responsible.
Robust multi-task feature learning

Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning algorithms have received increasing attention and they have been successfully applied to many applications involving high dimensional data. However, they assume that all tasks share a common set of features, which is too restrictive and may not hold in real-world applications, since outlier tasks often exist. In this paper, we propose a Robust Multi-Task Feature Learning algorithm (rMTFL) which simultaneously captures a common set of features among relevant tasks and identifies outlier tasks. Specifically, we decompose the weight (model) matrix for all tasks into two components. We impose the well-known group Lasso penalty on row groups of the first component for capturing the shared features among relevant tasks. To simultaneously identify the outlier tasks, we impose the same group Lasso penalty but on column groups of the second component. We propose to employ the accelerated gradient descent to efficiently solve the optimization problem in rMTFL, and show that the proposed algorithm is scalable to large-size problems. In addition, we provide a detailed theoretical analysis on the proposed rMTFL formulation. Specifically, we present a theoretical bound to measure how well our proposed rMTFL approximates the true evaluation, and provide bounds to measure the error between the estimated weights of rMTFL and the underlying true weights. Moreover, by assuming that the underlying true weights are above the noise level, we present a sound theoretical result to show how to obtain the underlying true shared features and outlier tasks (sparsity patterns). Empirical studies on both synthetic and real-world data demonstrate that our proposed rMTFL is capable of simultaneously capturing shared features among tasks and identifying outlier tasks.
Behavior Modification in Teacher Education

The coritent of this chapter is the modification of teaching behavior treated as a general class of behaviors. Teacher education programs may be conceptualized as behavior modification systems designed to modify complex behavioral repertoires which are adaptable to a variety of learning problems. Developing a teacher education program which applies behavior modification concepts would be simpler if we knew how to use these principles to control student learning. At the present time, however, only a relatively small number of student behaviors can be brought under behavioral control by applying these principles. Some of these are behaviors which the student must have available to participate in learning experiences; for example, bringing student attending behavior under behavioral control prepares students to acquire the behaviors which are the goals of the learning system (30, z6). Behavior modification systems, however, have not been developed for teaching complex behaviors such as problem-solving. Other teacher behaviors, such as planning and evaluating, may be taught in systems which apply behavior modification principles, but such systems are not yet available (37). Thus, there are three problems to be solved in designing behavior modification systems for teacher education. First, systems must be designed which facilitate the acquisition of diverse classes of teaching behavior, such as developing goal descriptions, planning learning strategies, evaluating, establistfing mutually self-enhancing relations with students, using teaching methods, and acquiring professional attitudes. The second problem is to train teachers to
Dinitrohalobenzenes: evaluation of relative skin sensitization potential using the local lymph node assay

The dinitrohalobenzenes are known to cause skin sensitization and have been used in many seminal investigations of the relationships between physicochemical characteristic and sensitizing potential. The electrophilic theory of skin sensitization implies that contact allergic potential should correlate positively with the ability of chemicals to react with proteins to form immunogenic hapten‐protein conjugates. It is intriguing, therefore, that previous studies in guinea pigs and mice have suggested that such correlations do not apply to dinitrohalobenzenes. To address this, we have examined, using the murine local lymph node assay (LLNA), the sensitizing activity of 2,4‐dinitroiodobenzene (DNFB), 2,4‐dinitrochlorobenzene (DNCB), 2,4‐dinitrobromo‐bezene (DNBB) and 2,4‐dinitroiodobenzene (DNIB). In contrast to previous investigations, it was found that the ability of these chemicals to provoke responses in the LLNA correlated closely with their reported protein reactivity. On the basis of these data, it is proposed that dinitrohalobenzenes conform to the electrophilic theory of skin sensitization and that they should be regarded as direct acting haptens.
A Study of Highly and Moderately Gifted Students in Mixed-Age Settings and the Effect on Social Status and Self-Concept

Literature Review Method Results Discussion References List of Tables Table 1. The Proportion of Program and Camp Students in the Popular, Rejected, 18 and Neglected Groups Table 2. A Comparison of Intellectual Ability and Social Status in Relative Age STUDY OF HIGHLY AND MODERATELY GIFTED STUDENTS IN MIXED-AGE SETTINGS AND THE EFFECT ON SOCIAL STATUS AND SELF-CONCEPT Deeayne P. Mayfield August 1998 28 Pages Directed by: Tony Norman, Carl Myers, and Shula Ramsay Department of Psychology Western Kentucky University This research addresses issues of self-concept, social status, and relative age as they relate to moderately (n=146) and highly (n=161) gifted students. Previous research regarding self-concept and giftedness yielded mixed results. The majority of social status research had not been conducted with gifted students, and relative age issues have been addressed only with young children. Therefore, the present research was conducted to carry the previous studies further. Only one self-concept scale, the Behavior scale, showed a significant difference between highly and moderately gifted students with highly gifted students outscoring moderately gifted students. No significant differences between moderately and highly gifted students were found in the proportion of students in the three social status categories of popular, rejected, and neglected. There was not a significant relationship between IQ scores and social status. However, those participants who were in the rejected group tended to be brighter, and those participants in the neglected group tended to be less bright, than the popular group. The participants in the rejected group were also significantly younger than those participants in the popular and neglected groups.
Remarks on the NFS complexity

We investigate practical issues with implementing the NFS algo- rithm to solve the DLP arising in XTR-based cryptosystems. We can transform original XTR-DLP to a DLP instance in Fp6, where p is a medium sized prime. Unfortunately, for practical ranges of p, the optimal degree of an NFS poly- nomial is less than the required degree 6. This leads to a problem to flnd enough smooth equations during the sieve stage of the NFS algorithm. We discuss sev- eral techniques that can increase the NFS output, i.e., the number of equations produced during the sieve, without increasing the smoothness bound.