Miracle-dz/UniFAR-FTUs huggingface dataset:
Redesigning the medication ordering, dispensing, and administration process in an acute care academic health sciences centre

Two simulation models have been built to quantify the advantages of an electronic medication ordering, dispensing and administration process compared with the current manual process at an acute care academic health sciences centre. The first model represents the current manual system, and has been validated against observed data. The second model represents the proposed electronic medication ordering, dispensing and administration system. The results show that there is a potential to significantly reduce the overall turnaround time (from the initiation of the order to the delivery of the medication to the wards) from 256 minutes to less than 123 minutes, a reduction in the pharmacokinetic failures from 16.3% to less than 5.7%, and a reduction in tight failures from 65.5% to less than 14.5%; thus improving the rate of first doses of medications that are delivered in time to be administered.
Differential Effects of Serum Heat Treatment on Chemotaxis and Phagocytosis by Human Neutrophils

Neutrophils, in cooperation with serum, are vital gatekeepers of a host’s microbiome and frontline defenders against invading microbes. Yet because human neutrophils are not amenable to many biological techniques, the mechanisms governing their immunological functions remain poorly understood. We here combine state-of-the-art single-cell experiments with flow cytometry to examine how temperature-dependent heat treatment of serum affects human neutrophil interactions with “target” particles of the fungal model zymosan. Assessing separately both the chemotactic as well as the phagocytic neutrophil responses to zymosan, we find that serum heat treatment modulates these responses in a differential manner. Whereas serum treatment at 52°C impairs almost all chemotactic activity and reduces cell-target adhesion, neutrophils still readily engulf target particles that are maneuvered into contact with the cell surface under the same conditions. Higher serum-treatment temperatures gradually suppress phagocytosis even after enforced cell-target contact. Using fluorescent staining, we correlate the observed cell behavior with the amounts of C3b and IgG deposited on the zymosan surface in sera treated at the respective temperatures. This comparison not only affirms the critical role of complement in chemotactic and adhesive neutrophil interactions with fungal surfaces, but also unmasks an important participation of IgGs in the phagocytosis of yeast-like fungal particles. In summary, this study presents new insight into fundamental immune mechanisms, including the chemotactic recruitment of immune cells, the adhesive capacity of cell-surface receptors, the role of IgGs in fungal recognition, and the opsonin-dependent phagocytosis morphology of human neutrophils. Moreover, we show how, by fine-tuning the heat treatment of serum, one can selectively study chemotaxis or phagocytosis under otherwise identical conditions. These results not only refine our understanding of a widely used laboratory method, they also establish a basis for new applications of this method.
Biogeosciences Quantifying wetland methane emissions with process-based models of different complexities

Bubbling is an important pathway of methane emissions from wetland ecosystems. However the concentration-based threshold function approach in current biogeochemistry models of methane is not sufficient to represent the complex ebullition process. Here we revise an extant process-based biogeochemistry model, the Terrestrial Ecosystem Model into a multi-substance model (CH 4, O2, CO2 and N2) to simulate methane production, oxidation, and transport (particularly ebullition) with different model complexities. When ebullition is modeled with a concentrationbased threshold function and if the inhibition effect of oxygen on methane production and the competition for oxygen between methanotrophy and heterotrophic respiration are retained, the model becomes a two-substance system. Ignoring the role of oxygen, while still modeling ebullition with a concentration-based threshold function, reduces the model to a one-substance system. These models were tested through a group of sensitivity analyses using data from two temperate peatland sites in Michigan. We demonstrate that only the four-substance model with a pressure-based ebullition algorithm is able to capture the episodic emissions induced by a sudden decrease in atmospheric pressure or by a sudden drop in water table. All models captured the retardation effect on methane efflux from an increase in surface standing water which results from the inhibition of diffusion and the increase in rhizospheric oxidation. We conclude that to Correspondence to: J. Tang (tang16@purdue.edu) more accurately account for the effects of atmospheric pressure dynamics and standing water on methane effluxes, the multi-substance model with a pressure-based ebullition algorithm should be used in the future to quantify global wetland CH4 emissions. Further, to more accurately simulate the pore water gas concentrations and different pathways of methane transport, an exponential root distribution function should be used and the phase-related parameters should be treated as temperature dependent.
Gagné’s Reflections on Her Journey through the Principles of Learning Course Wiki – a Commentary

In recounting of her experiences with the Principles of Learning (PoL) course wiki and the associated tools, Gagné is outlining her contributions to the (PoL) course wiki along with an assessment and presentation of her personal and professional development throughout her time in PoL. Through some trial and error, and varying levels of experimentation, Gagné was able to achieve an overall high level of contributions to the course wiki.
A robust envelope following method applicable to both non-autonomous and oscillatory circuits

In this paper, we propose an envelope-following method which is uniformly applicable to both non-autonomous and oscillatory circuits. A key feature of our technique is the use of an efficient minimum least squares solution technique to solve an underdetermined envelope system directly. This leads to a general purpose approach which is much easier to solve than previous phase condition based envelope-following method, improving numerically robustness dramatically. We validate our method on a variety of autonomous and non-autonomous circuits, including a PLL in transition to lock. The new method provides speedups of 1-2 orders of magnitude over transient simulation, while obtaining results that are equally or more accurate
LQR control for stabilizing triple link inverted pendulum system

This paper presents the model of car triple inverted pendulum system using Lagrange equation in detail. This model is then linearized to design an LQR controller to maintain the triple inverted pendulum on a cart around its unstable equilibrium position using single control input. The controllability of the triple inverted pendulum system is investigated and the choice of weights in LQR is also discussed. The system is simulated in MATLAB environment and the simulation results establish the satisfactory performance of the LQR controller in stabilizing the system.
Guiding Preservice Teachers to Making a Shift in Thinking: Developing Skill and Confidence in Assessment through Thematic Integrated Units

In this paper we present our journey as elementary education methods course instructors through a practical action research design refining a model thematic integrated unit for our preservice teachers in an elementary education methods course and how we revised our model unit to incorporate the assessment cycle in our model unit. We present our initial model thematic integrated unit encompassing language arts, history, mathematics, and science, our initial model unit lesson, our concerns with that unit lesson, our insight with respect to the missing component of the assessment cycle in our model unit lesson, and how that insight connects to our education of philosophy and teacher education program prerequisite courses. Successful teachers must be able to analyze student assessment data in order to meet the individual needs of all students. Our preservice teachers were asked to evaluate two sets of hypothetical student assessment data in order to identify the learning objectives that needed to be revisited. From their analysis, they broke into small-group pull-out sessions, taught the reteaching lessons based on their analysis of the hypothetical student data, and reassessed learning objective competency. Thus, our preservice teachers were allowed to experience the plan-teach-assess-reflect model necessary for their own individual journey toward becoming a successful professional educator.
Research on the Identification of Software Behavior in Anomaly Detection

Anomaly detection is an important component of computer security defense. As the security situation becomes increasingly severe, abnormality is detected by the sequential pattern mining has become a hot research topic. For normal behavior to identify in anomaly detection, proposed software behavior pattern recognition technology which based on improved prefixspan algorithms and sequence similarity comparison, mainly for software behavior java program under windows platform identification. The method uses sequential pattern mining to model the software behavior of the sample program, Extraction behavior of the software in the training data based on system call sequence support, and established pattern library to represent the outline of a software behavior. In the detection phase, compare the program library in the normal sequence mode with the current pattern to be detected and calculate sequence similarity, identify the target behavior. In this paper, the method has good performance in terms of software behavior recognition. Finally, the software behavior in network behavior, given the specific experimental procedures, demonstrate the effectiveness of this method.
THE IMPROVEMENT ACTIVITIES AND THE LEARNING RESULT OF SOCIAL SUBJECT WITH COOPERATIVE LEARNING MODEL OF TEAMS GAMES TOURNAMENT TYPE AT THE EIGHT GRADE OF SMP NEGERI 9 METRO

This research is the classroom action research which purposed to find the model and to know the effectiveness of the cooperative learning model of Teams Games Tournament type in improving activities and the learning result of social subject at the eight grade of SMP Negeri 9 Metro academic year 2016 / 2017. The method which used in this research is Classroom Action Research Model. The subject of this research is the students at the eight grade in SMP Negeri 9 Metro. It is 28 students. The data collecting technique of this research is the observation and test. The observation used to get the data of activity and test used to get the data of the result of students’ learning. The procedure of this research is planning the action, implementation the action, observation / evaluation and the first data analysis (the data reduction, the data explanation and reflection). The final data analysis of this research is tabulation among the cycles. The result of this research shows that first is the students’ learning activity from the first cycle to the second cycle has the improvement up to 12,28%. It was from 60,72% in the first cycle up to 75% in the second cycle. Whereas from the second cycle to the third cycle has improvement up to 10,71%. It was from 75% in the second cycle up to 85,71% in the third cycle. The second is the result of students’ learning has the improvement between the first cycle to the second cycle was 15,45%. It was from 60,71% in the first cycle up to 71,43% in the second cycle. In the second cycle to the third cycle has the improvement up to 16,66%. It was from 71,43% in the first cycle up to 89,29% in the third cycle. Based on the research, it can be concluded that the cooperative learning model with Teams Games Tournament type in Standard Competency of Understanding Activity from Economic Actor in Society have tried out, it can improve the learning activity and the result of students’ learning at the eight grade of SMP Negeri 9 Metro academic year 2016 / 2017. Keywords: Activities, Learning Result, and Teams Games Tournament
Specifying and Managing Quality of Real-Time Data Services

The demand for real-time data services is increasing in many applications including e-commerce, agile manufacturing, and telecommunication network management. In these applications, it is desirable to execute transactions within their deadlines, i.e., before the real-world status changes, using fresh (temporally consistent) data. However, it is challenging to meet these fundamental requirements due to dynamic workloads and data access patterns in these applications and potential conflicts between transaction timeliness and data freshness requirements. In this paper, we define average/transient deadline miss ratio and new data freshness metrics to specify the required quality of real-time data services. We also present a novel QoS management architecture to support the required QoS even in the presence of unpredictable workloads and access patterns. To prevent overload and support the required QoS, the presented architecture applies feedback control, admission control, and flexible freshness management schemes. A simulation study shows that our QoS-aware approach can support the required QoS, whereas baseline approaches fail to support the required miss ratio and/or freshness. Further, our approach shows a comparable performance to the theoretical oracle that is privileged by a complete future knowledge of data accesses.
How is non-knowledge represented in economic theory?

In this article, we address the question of how non-knowledge about future events that influence economic agents’ decisions in choice settings has been formally represented in economic theory up to date. To position our discussion within the ongoing debate on uncertainty, we provide a? brief review of historical developments in economic theory and decision theory. Uncertainty is thereby understood as either based on decision-making in the context of a? state space representing the exogenous world, as in Savage’s axiomatisation and some successor concepts (ambiguity as situations with unknown probabilities), or, based on decision-making over a? set of menus of potential future opportunities, providingthe possibility of derivation of agents’ subjective state spaces (unawareness as situation with imperfect subjective knowledge of all future events possible).
Lightweight fusion by fixed point promotion

This paper proposes a lightweight fusion method for general recursive function definitions. Compared with existing proposals, our method has several significant practical features: it works for general recursive functions on general algebraic data types; it does not produce extra runtime overhea (except for possible code size increase due to the success of fusion); and it is readily incorporated in standard inlining optimization. This is achieved by extending the ordinary inlining process with a new fusion law that transforms a term of the form f o (fixgλx.E) to a new fixed point term fixhλx. E′ by promoting the function f through the fixed point operator. This is a sound syntactic transformation rule that is not sensitive to the types of f and g. This property makes our method applicable to wide range of functions including those with multi-parameters in both curried and uncurried forms. Although this method does not guarantee any form of completeness, it fuses typical examples discussed in the literature and others that involve accumulating parameters, either in the tt foldl-like specific forms or in general recursive forms, without any additional machinery. In order to substantiate our claim, we have implemented our method in a compiler. Although it is preliminary, it demonstrates practical feasibility of this method.
Chartists and Fundamentalists in an Agent Based Herding Model

Under an artificial asset market, we propose a model in which agents choose either a chartist or a fundamentalist forecasting rule and interact with each other. Agent's anticipations of prices depend on the past performance of investment strategies. The interactions between these two trader types may generate cyclical dynamics. An alternative dominance of both trader types is observed in the market according to the relative success of the strategies. The magnitude of this dynamics is affected by the noise included in these rules. The population of the competing forecasting strategies also depends on the confidence of fundamentalists in the return to fundamentals and on the amount of trust in past price movement for chartists. Moreover such dynamics generate wide price fluctuations.
A Video Compression Algorithm based on Matching Pursuit Integrated into a Wireless Embedded Sensor Node Compliant with IEEE 1451.1 Standard Architecture

This paper presents a new low computational power compression/decompression algorithm for very low bit-rate video-stream integrated on a standard architecture for domotic sensor network based on the IEEE 1451 standards. The proposed method uses frame theory elements and the greedy Matching Pursuit algorithm in order to identify a 2D Gabor sub-dictionary able to compress information included in little 8bpp grey-levels motion blocks obtained by displaced frame difference approach. Results show high performance in terms of compression ratio, good detected visual quality in the decompressed video stream, providing high signal to noise ratio.
Safe Spaces, Agency, and Connections to “Regular Stuff”: What Makes Permanent Supportive Housing Feel Like “Home”

Permanent, supportive housing for people with a history of homelessness is often a first step toward regaining stability in other life areas, but such housing may not always feel like “home. ” Whether supportive housing feels like “home” has received increasing attention due to links with positive identity reconstruction, housing stability, and improved community engagement. This qualitative study explored what makes supportive housing feel like “home” for individuals who were once homeless. Semi-structured interviews were completed among 37 adults with physical and/or psychiatric disabilities who were currently living in congregate or independent permanent housing in Boston, Massachusetts. Three themes emerged regarding what makes housing feel like “home”: (a) safe spaces, (b) connections to “regular stuff” and past occupations, and (c) agency to choose and pursue personal goals. Feelings of “home” were associated with a safe, peaceful environment where participants preferred to spend time in solitary activities. However, housing that felt like “home” also provided a base to engage in daily routines and community activities, reconnecting participants to “everyday things people do. ” Findings are interpreted related to constructing a new, nonhomeless identity, and current issues of social isolation and limited community integration affecting individuals who were once homeless.
Analysis of peer selection algorithms in cross-layer P2P architectures

The large amount of peer-to-peer (P2P) traffic in today's Internet represents a great challenge for most Internet Service providers (ISPs). P2P traffic does not conform to traditional ISP traffic policies, and it makes it harder to perform traffic engineering in the network. It is especially the peer-selection mechanism of the P2P application that influences the traffic patterns and creates an imbalance for the ISP business. Some ISPs benefit from the P2P traffic, while others suffer. There are research efforts proposing cross-layer solutions where the P2P application uses the underlying routing information for the peer selection. These works put a lot of focus on improving the application performance, but take to a little extent into account how the ISPs are affected. In this paper we propose a framework to measure the effects of the peer-selection mechanism, not only on the P2P application performance, but also on the economy of different types of ISPs. We categorize all ISPs into three groups; core, transit and stub, depending on their position in the global Internet hierarchy. Using our proposed framework, we analyze the performance of different peer-selection algorithms.
Global interconnect trade-off for technology over memory modules to application level: case study

In this paper we show how to exploit energy-delay trade-offs that exist due to the variation of the technology parameters for the implementation of interconnect wires. We also evaluate how these trade-offs can be propagated to the memory module level, so we can minimise the power consumption of the entire memory organisation (i.e., memories and connections between them). Our approach is that at future technology nodes the delay problem can be handled at the application level, so given any delay slack obtained at that level, we can exploit it to make the switching on the interconnect wires slower and thus less energy consuming. In this way, we have shown that for real-life applications the power consumption at future technology nodes can be reduced by about 34%, when compared to the option provided by the ITRS roadmap. This is achieved by, instead of using the very fast and power hungry wires, selectively using slower and thinner interconnect wires while still meeting the application real-time constraints.
Continuous glucose monitoring: roadmap for 21st century diabetes therapy.

Continuous glucose monitoring provides maximal information about shifting blood glucose levels throughout the day and facilitates the making of optimal treatment decisions for the diabetic patient. This report discusses continuous glucose monitoring in terms of its purposes, technologies, target populations, accuracy, clinical indications, outcomes, and problems. In this context, the medical literature on continuous glucose monitoring available through the end of 2004 is reviewed. Continuous glucose monitoring provides information about the direction, magnitude, duration, frequency, and causes of fluctuations in blood glucose levels. Compared with conventional intensified glucose monitoring, defined as three to four blood glucose measurements per day, continuous monitoring provides much greater insight into glucose levels throughout the day. Continuous glucose readings that supply trend information can help identify and prevent unwanted periods of hypo- and hyperglycemia. The difference between an intermittent and a continuous monitor for monitoring blood glucose is similar to that between a regular camera and a continuous security camera for monitoring an important situation. A regular camera takes discrete, accurate snapshots; its pictures do not predict the future; it produces a small set of pictures that can all be carefully studied; and effort is required to take each picture. A continuous security camera, on the other hand, takes multiple, poorly focused frames; displays a sequential array of frames whose trend predicts the future; produces too much information for each frame to be studied carefully; and operates automatically after it is turned on. The two types of blood glucose monitors differ in much the same way: 1 ) an intermittent blood glucose monitor measures discrete glucose levels extremely accurately, whereas a continuous monitor provides multiple glucose levels of fair accuracy; 2 ) with an intermittent monitor, current blood glucose levels do not predict future glucose levels, but with a continuous monitor, trends in glucose levels do have …