Miracle-dz/UniFAR-FTUs huggingface dataset:
A Model for Improving e-Security in Australian Universities

As universities seek to adopt increased e-business, e-commerce and e-learning initiates, the overall approach taken for security management within the organisation plays an increasingly relevant role. In many cases security in universities is approached through the addition of tactical solutions. Often systems security is added on as a final consideration instead of during early design stages. This approach can be incomprehensive and inefficient. Although this approach can provide limited security, there is no guarantee that business requirements for security are incorporated and integrated effectively. This situation is partly due to security management in Australian universities being challenged by the complexity of both university culture and diverse operating environments. In many circumstances the champion for security in universities tends to be relegated to an officer in the IT department, hidden away from the business itself. Often this person with operational responsibility for security will have a detailed understanding of what should occur in security, but faces difficulties in determining exactly how to go about achieving this on an enterprise level. In order to assist in securing university IT systems and thereby improving e-business security, this research proposes a security practitioner's management model. This model is aimed at facilitating the transition of security knowledge into actual implementation across the enterprise, with an end goal of an improved culture of compliance towards security practices in the university sector. This work is of significant value as it results from a study into specific security management issues facing Australian universities. This study highlights that future research would be well-placed to focus on benchmarking information security management within the university sector.
Effect of Patient Morphology on Dosimetric Calculations for Internal Irradiation as Assessed by Comparisons of Monte Carlo Versus Conventional Methodologies

Dosimetric calculations are performed with an increasing frequency before or after treatment in targeted radionuclide therapy, as well as for radiation protection purposes in diagnostic nuclear medicine. According to the MIRD committee formalism, the mean absorbed dose to a target is given by the product of the cumulated activity and a dose-conversion factor, known as the S factor. Standard S factors have been published for mathematic phantoms and for unit-density spheres. The accuracy of the results from the use of these S factors is questionable, because patient morphology can vary significantly. The aim of this work was to investigate differences between patient-specific dosimetric results obtained using Monte Carlo methodology and results obtained using S factors calculated on standard models. Methods: The CT images of 9 patients, who ranged in size, were used. Patient-specific S factors for 131I were calculated with the MCNPX2.5. 0 Monte Carlo code using a tool for personalized internal dose assessment, OEDIPE; standard S factors from OLINDA/EXM were compared against the patient-specific S factors. Furthermore, realistic biodistributions and cumulated activities for normal organs and tumors were used, and mean organ- and tumor-absorbed doses calculated with OEDIPE and OLINDA/EXM were compared. Results: The ratio of the standard and the patient-specific S factors were between 0.49 and 1.84 for a target distant from the source for 4 organs and 2 tumors studied as source and targets. For the case of self-irradiation, the equivalent ratio ranged between 0.45 and 2.47 and between 1.00 and 1.06 when mass correction was applied. Differences in mean absorbed doses were as high as 140% when realistic cumulated activity values were used. These values decreased to less than 26% in all cases studied when mass correction was applied to the self-irradiation given by OLINDA/EXM. Conclusion: Standard S factors can yield mean absorbed doses for normal organs or tumors with a reasonable accuracy (26% for the cases studied) as compared with absorbed doses calculated with Monte Carlo, provided that they have been corrected for mass.
Public Goods in Trade on the Formation of Markets and Jurisdictions

Must the integration of markets be accompanied by the harmonization of societies' institutions? We study a model of heterogenous individuals where a public good directly affects returns from trade. Trade takes place in the market, whereas the public good is provided by the jurisdiction, and individuals choose which market and which jurisdiction to join. Although trade between different jurisdictions entails transaction costs, only at intermediate market sizes must trading partners belong to a single jurisdiction. When markets are small, multiple jurisdictions can exist, although a single one is preferable; when markets are large, multiple jurisdictions are both possible and desirable.
The Maturing of Facilitated Communication

Facilitated communication (FC) can be a successful means for people to learn to communicate effectively and independently. The preponderance of peer-reviewed articles supports FC as a useful tool for developing communication skills. While there has been a chasm of difference in qualitative versus quantitative studies on FC, researchers have produced a body of current literature confirming the method. Many people with significant intellectual disabilities, through the use of FC, have been able to demonstrate their ability to successfully communicate. We, as a profession, now need to respond with collaborative scholarship. In addition, revised position statements must be developed reflecting the past research findings and encouraging future research.
A Delayed Rectifier Current Is Modulated by the Circadian Pacemaker in Bulla

Basal retinal neurons of the marine mollusc Bulla gouldiana continue to express a circadian modulation of their membrane conductance for at least two cycles in cell culture. Voltage-dependent currents of these pacemaker cells were recorded using the whole-cell perforated patch-clamp technique to characterize outward currents and investigate their putative circadian modulation. Three components of the outward potassium current were identified. A transient outward current (IA) was activated after depolarization from holding potentials greater than –30 mV, inactivated with a time constant of 50 ms, and partially blocked by 4-aminopyridine (1-5 mM). A Ca2+-dependent potassium current (IK(Ca)) was activated by depolarization to potentials more positive than –10 mV and was blocked by removing Ca2+ from the bath or by applying the Ca2+ channel blockers Cd2+ (0.1-0.2 mM) and Ni2+ (1-5 mM). A sustained Ca2+-independent current component including the delayed rectifier current (IK) was recorded at potentials positive to –20 mV in the absence of extracellular Na+ and Ca2+ and was partially blocked by tetraethylammonium chloride (TEA, 30mM). Whole-cell currents recorded before and after the projected dawn and normalized to the cell capacitance revealed a circadian modulation of the delayed rectifier current (IK). However, the IA and IK(Ca) currents were not affected by the circadian pacemaker.
Stable Interactive Cutting of Deformable Objects

In this paper we present a novel approach for stable interactive cutting of deformable objects in virtual environments. Our method is based on the extended finite elements method, allowing fo r a modeling of discontinuities without remeshing. As no new elements are created, the impact on perfor mance of the simulation is minimized.
Brain Wave Concomitants of Cross-Cultural Differences in Scores On Simple Cognitive Tasks

Interpretations of cross-cultural differences in performance on cognitive tasks tend to rely on broad concepts, such as general intelligence or cultural modes of thinking. In this study, the authors examine two proximate parameters, stimulus complexity and task exposure, using reaction time (RT) and event-related brain potentials (ERPs) recorded during various tasks. Five tasks differed in complexity but had similar stimulus content; one task had stimuli of different appearance. Test trials were administered across three days. Participants were trained on most tasks for two days. There were three samples, rural Venda youngsters in South Africa with little schooling, Venda university students, and Dutch university students. Cross-cultural differences in RT increased with task complexity and decreased with exposure. Substantial correspondence was found between patterns of RT and latency of the N2, an ERP component related to stimulus categorization. Our results fit an explanation in terms of task familiarity. Implications for culture-cognition relationships are discussed.
Cognitive Principles in Source Memory: Behavioral and Event-Related Potential Studies

Source memory is defined as memory for not only the core aspect of some event, but additional contextual detail about that core aspect, or item. Source memory tasks are marked by their engagement of prefrontal cortex in addition to the brain circuits required by other episodic memory tasks. The dissertation examines the relationships among source memory accuracy, concurrent brain activity, and general cognitive principles derived from the study of episodic memory more generally. Electrical measures of brain activity (event-related potentials, ERPs) were recorded while manipulating factors hypothesized to improve or worsen source memory accuracy. The first experiment manipulated the task assigned during the encoding phase and its match to the retrieval demands of remembering objects (depicted in drawings) and their colors. As predicted by the principle of transfer-appropriate processing, source accuracy was higher when the encoding task fostered integration of the item (object) and source (color) attributes. Prefrontal activity during the retrieval phase was greatly reduced when retrieval could benefit from transfer-appropriate processing. In associative memory tasks, poor memory performance is observed when the tobe-retained stimuli share elements with other studied stimuli, as in a variety of interference paradigms. The second experiment thus examined the impact of feature overlap on source recognition by varying the quantitative mapping between the shape and color of an object depicted in a drawing. The results showed two frontal processes supporting source retrieval: an early differentiation between stimuli identical to those encoded and those that switch colors from study to test, and a later effect reflecting
The Formation of Biofilms by Pseudomonas aeruginosa: A Review of the Natural and Synthetic Compounds Interfering with Control Mechanisms

P. aeruginosa is an opportunistic pathogenic bacterium responsible for both acute and chronic infections. Beyond its natural resistance to many drugs, its ability to form biofilm, a complex biological system, renders ineffective the clearance by immune defense systems and antibiotherapy. The objective of this report is to provide an overview (i) on P. aeruginosa biofilm lifestyle cycle, (ii) on the main key actors relevant in the regulation of biofilm formation by P. aeruginosa including QS systems, GacS/GacA and RetS/LadS two-component systems and C-di-GMP-dependent polysaccharides biosynthesis, and (iii) finally on reported natural and synthetic products that interfere with control mechanisms of biofilm formation by P. aeruginosa without affecting directly bacterial viability. Concluding remarks focus on perspectives to consider biofilm lifestyle as a target for eradication of resistant infections caused by P. aeruginosa.
REPETITION PRIMING AND FREQUENCY ATTENUATION IN LEXICAL ACCESS

Repetition priming effects in lexical decision tasks are stronger for low-frequency words than for high-frequency words. This frequency attenuation effect creates problems for frequency-ordered search models that assume a relatively stable frequency effect. The suggestion is made that frequency attenuation is a product of the involvement of the episodic memory system in the lexical decision process. This hypothesis is supported by the demonstration of constant repetition effects for high- and low-frequency words when the priming stimulus is masked; the masking is assumed to minimize the influence of any possible episodic trace of the prime. It is further shown that long-term repetition effects are much less reliable when the subject is not required to make a lexical decision response to the prime. When a response is required, the expected frequency attenuation effect is restored. It is concluded that normal repetition effects consist of two components: a very brief lexical effect that is independent of frequency and a long-term episodic effect that is sensitive to frequency. There has been much recent interest in the fact that in a lexical decision experiment, where subjects are required to classify letter strings as words or nonwords, there is a substantial increase in both the speed and the accuracy of classificatio n for words that are presented more than once during the experiment, even though considerable time may have elapsed between successive presen
Ultradian oscillations of Stat, Smad, and Hes1 expression in response to serum

Serum response has been used as a model for studying signaling transduction for many biological events such as cell proliferation and survival. Although expression of many genes is up- or down-regulated after serum stimulation, the Notch effector Hes1 displays oscillatory response. However, the precise mechanism and biological significance of this oscillation remain to be determined. Here, we identified serum-induced ultradian oscillators, including molecules in Stat and Smad signaling. Stat and Smad oscillations involve activation of Stat3 and Smad1 and delayed negative feedback by their inhibitors Socs3 and Smad6, respectively. Moreover, Stat oscillations induce oscillatory expression of Hes1 by regulating its half-life, and loss of Hes1 oscillations leads to G1 phase retardation of the cell cycle. These results indicate that coupled Stat and Hes1 oscillations are important for efficient cell proliferation and provide evidence that expression modes of signaling molecules affect downstream cellular events.
Synthesis of compliant motions in moving environments: experimental results

This paper presents a methodology to synthesize robot compliant motions in environments that can move or oscillate due to random disturbances. Motions of the environment are taken into account in the task frame position which is considered unknown and time-varying but bounded. The position, velocity and force responses of the coupled robot/environment system are determined and tasks are expressed as inequality constraints on these expressions. A set of controller parameters is found by fitting the largest possible uncertainty box inside the region of the impedance parameter space that satisfies all task constraints. Experimental results demonstrate the validity and robustness of the approach.
Common Ancestry Is a Poor Predictor of Competitive Traits in Freshwater Green Algae

Phytoplankton species traits have been used to successfully predict the outcome of competition, but these traits are notoriously laborious to measure. If these traits display a phylogenetic signal, phylogenetic distance (PD) can be used as a proxy for trait variation. We provide the first investigation of the degree of phylogenetic signal in traits related to competition in freshwater green phytoplankton. We measured 17 traits related to competition and tested whether they displayed a phylogenetic signal across a molecular phylogeny of 59 species of green algae. We also assessed the fit of five models of trait evolution to trait variation across the phylogeny. There was no significant phylogenetic signal for 13 out of 17 ecological traits. For 7 traits, a non-phylogenetic model provided the best fit. For another 7 traits, a phylogenetic model was selected, but parameter values indicated that trait variation evolved recently, diminishing the importance of common ancestry. This study suggests that traits related to competition in freshwater green algae are not generally well-predicted by patterns of common ancestry. We discuss the mechanisms by which the link between phylogenetic distance and phenotypic differentiation may be broken.
Knowledge and knowing in mathematics and pedagogy: a case study of mathematics student teachers’ epistemological beliefs

This study focuses on mathematics student teachers’ epistemological beliefs in mathematics and education. The study aimed at gaining insight into the challenges that students experience in the consolidation of knowledge in the two disciplines. The case study with three mathematics pre-service teachers utilised mathematical and pedagogical problem-solving tasks, interviews and stimulated recall. The findings suggest that epistemologies are domain-specific, and that students may struggle with the consolidation of mathematical and pedagogical knowledge. We identified six aspects that can challenge consolidation: the students believed that pedagogical knowledge is highly relative; their knowledge of methods of inquiry in education was weak; they viewed theoretical pedagogical knowledge as unrelated to practice; they held formalistic beliefs about mathematics; they were performance-orientated in solving the mathematical problems; and they relied on authority, rather than proof, as a justification for mathematical knowledge.
The State-Supported University Libraries of Alabama: Serving the Needs of Patrons with Disabilities.

The Americans with Disabilities Act is a highly enforceable piece of national legislation that greatly affects public institutions of higher learning. Information gathered in a fall 1993 survey of the libraries at Alabama public universities acknowledged that while disabled populations on campuses needed to be served, they were not being served. Among the reasons given were lack of preparation on the library's part, lack of knowledge of the potentially disabled student populations on campuses, and lack of finding for needed accommodations
Adaptive Routing in Underwater Delay/Disruption Tolerant Sensor Networks

As an emerging technique, underwater sensor network (UWSN) will enable a wide range of aquatic applications. However, due to the adverse underwater environmental conditions as well as some system constraints, an underwater sensor network is usually viewed as an intermittently connected network (ICN) (or delay/disruption tolerant network (DTN)), which requires specialized routing protocols. Moreover, applications may have different requirements for different types of messages, as demands a smart protocol to handle packets adaptively. In this paper, we propose a novel routing protocol where routing is performed adaptively based on the types of messages and application requirements. This is obtained by exploiting message redundancy and resource reallocation in order to achieve different performance requirements. We demonstrate through simulations that our protocol can satisfy different application requirements and achieve a good trade-off among delivery ratio, end-to-end delay and energy consumption.
Transmitter diversity for OFDM systems and its impact on high-rate data wireless networks

Transmitter diversity and down-link beamforming can be used in high-rate data wireless networks with orthogonal frequency division multiplexing (OFDM) for capacity improvement. We compare the performance of delay, permutation and space-time coding transmitter diversity for high-rate packet data wireless networks using OFDM modulation. For these systems, relatively high block error rates, such as 10%, are acceptable assuming the use of effective automatic retransmission request (ARQ). As an alternative, we also consider using the same number of transmitter antennas for down-link beamforming as we consider for transmitter diversity. The investigation indicates that delay transmitter diversity with quaternary phase-shift keying (QPSK) modulation and adaptive antenna arrays provides a good quality of service (QoS) with low retransmission probability, while space-time coding transmitter diversity provides high peak data rates. Down-link beamforming together with adaptive antenna arrays, however, provides a higher capacity than transmitter diversity for typical mobile environments.
Probing brain reward system function in major depressive disorder: altered response to dextroamphetamine.

BACKGROUND The state of the brain reward system in major depressive disorder was assessed with dextroamphetamine, which probes the release of dopamine within the mesocorticolimbic system, a major component of the brain reward system, and produces measurable behavioral changes, including rewarding effects (eg, euphoria). We hypothesized that depressed individuals would exhibit an altered response to dextroamphetamine due to an underlying brain reward system dysfunction reflected by anhedonic symptoms. METHODS In a double-blind, placebo-controlled, randomized, parallel study, the behavioral and physiological effects of a single 30-mg dose of oral dextroamphetamine sulfate were measured. Forty patients with a diagnosis of DSM-IV major depressive disorder who were not taking antidepressant medications (22 assigned to dextroamphetamine and 18 to placebo) were compared with 36 control subjects (18 assigned to dextroamphetamine and 18 to placebo) using validated self-report drug effect measurement tools (eg, the Addiction Research Center Inventory), heart rate, and blood pressure. RESULTS Multiple regression analysis showed that severity of depression as measured by the Hamilton Rating Scale for Depression correlated highly with the rewarding effects of dextroamphetamine in the depressed group (model R(2) = 0.63; interaction P =. 04). A subsequent analysis categorizing the depressed group into patients with severe symptoms (Hamilton score >23) and those with moderate symptoms revealed a significant interaction between drug and depression (P =.02). Patients with severe symptoms reported rewarding effects 3.4-fold greater than controls. CONCLUSIONS The results suggest the presence of a hypersensitive response is present in the brain reward system of depressed patients, which may reflect a hypofunctional state and may provide a novel pathophysiologic and therapeutic target for future studies.
Regularized l1-Graph for Data Clustering

l1-Graph has been proven to be effective in data clustering, which partitions the data space by using the sparse representation of the data as the similarity measure. However, the sparse representation is performed for each datum independently without taking into account the geometric structure of the data. Motivated by l1-Graph and manifold leaning, we propose Regularized l1-Graph (Rl1-Graph) for data clustering. Compared to l1-Graph, the sparse representations of Rl1-Graph are regularized by the geometric information of the data. In accordance with the manifold assumption, the sparse representations vary smoothly along the geodesics of the data manifold through the graph Laplacian constructed by the sparse codes. Experimental results on various data sets demonstrate the superiority of our algorithm compared to l1-Graph and other competing clustering methods.