Miracle-dz/UniFAR-FTUs huggingface dataset:
Elimination Kinetics of Ethanol in a 5-Week-Old Infant and a Literature Review of Infant Ethanol Pharmacokinetics

Primary ethanol metabolism occurs through alcohol dehydrogenase, but minor metabolic pathways such as the P450 enzymes CYP2E1 and CYP1A2 and the enzyme catalase exist. These enzymes have distinct developmental stages. Elimination kinetics of ethanol in the infant is limited. We report the elimination kinetics of ethanol in a 5-week-old African-American male who had a serum ethanol level of 270 mg/dL on admission. A previously healthy 5-week-old African-American male was brought to the ED with a decreased level of consciousness. His initial blood ethanol level was 270 mg/dL. Serial blood ethanol levels were obtained. The elimination rate of ethanol was calculated to be in a range from 17.1 to 21.2 mg/dL/hr and appeared to follow zero-order elimination kinetics with a R 2 = 0.9787. Elimination kinetics for ethanol in the young infant has been reported in only four previously published reports. After reviewing these reports, there appears to be variability in the elimination rates of ethanol in infants. Very young infants may not eliminate ethanol as quickly as previously described. Given that there are different stages of enzyme development in children, caution should be used when generalizing the elimination kinetics in young infants and children.
Internal Sorting by Radix Plus Sifting

A method is proposed for internal sorting which has the property that the expected time required per record, to sort n records with random keys, is a bounded function of n. Moreover the storage required in addition to that for the records is only 2n address fields. It appears that the method may be a good choice when the number of records to be sorted is of the order of 10,000 or more. The method consists of partially sorting the records by a radix sort and completing the sort by sifting. In the radix sort, a list type of structure is used to present the distribution of the records.
Designing a travel recommendation system using Case-Based Reasoning and domain ontology

This paper proposes a new travel recommendation system, which aims to provide a unified solution to user demands. It is a hybrid system that combines Case-Based Reasoning with domain-specific ontology. Queries can be constructed template-based or in natural language and a relaxation query management strategy is developed. The solution space is searched from two perspectives: relevance and diversity. We propose a new similarity function, which measures the distances according to the domain ontology.
Complexity of the simplest phylogenetic estimation problem

The maximum–likelihood (ML) solution to a simple phylogenetic estimation problem is obtained analytically. The problem is estimation of the rooted tree for three species using binary characters with a symmetrical rate of substitution under the molecular clock. ML estimates of branch lengths and log–likelihood scores are obtained analytically for each of the three rooted binary trees. Estimation of the tree topology is equivalent to partitioning the sample space (space of possible data outcomes) into subspaces, within each of which one of the three binary trees is the ML tree. Distance–based least squares and parsimony–like methods produce essentially the same estimate of the tree topology, although differences exist among methods even under this simple model. This seems to be the simplest case, but has many of the conceptual and statistical complexities involved in phylogeny estimation. The solution to this real phylogeny estimation problem will be useful for studying the problem of significance evaluation.
Examining the use of drama to develop epistemological understanding about the nature of science: a collective case from experience in New Zealand and England

ABSTRACT Understanding the nature of science (NoS) is perplexing for young children because it is concerned with not only understanding how evidence is generated but also what kind of meanings can be made from information collected. However, acting as a scientist-in-role, making independent decisions about what information to collect and deciding how to go about it, can enable students to experience scientific practices that empower them to better appreciate and understand the NoS. This paper illustrates how drama processes, in two international settings in Wellington, New Zealand and Oxford, United Kingdom encouraged nine to ten-year-old children to engage in the scientific ‘as-if’ world. The data collected from these two locations was analysed deductively to illustrate how working-in-role can influence the nature of learning and shape the scientific practices experienced that consequently inform how the NoS is understood. The children in Wellington (New Zealand) worked in-role as atmospheric scientists to design a reduced-emissions race track. The class in Oxford (UK) adopted the role of technological scientists theorising about properties of materials to create and test original carriers designed to transport a range of everyday objects. How drama promoted working-in-role to experience scientific practices supporting the understanding of the NoS, are discussed. The findings suggest that being in-role as a scientist offered learners various opportunities to be agentive, to think and act scientifically, better appreciate the nature of work that scientists do and consequently appreciate the NoS.
Social Capital in Social Networks

We deflne and measure social capital within a large social network where agents take actions which have externalities on other agents. Our concept of social capital measures the extent to which agents are able to internalize these externalities. We distinguish between preference-based social capital (directed altruism) and cooperative social capital based on repeated interaction between pairs or groups of agents. We flnd that preference-based social capital increases an agent’s weight on a friend’s utility by about 15 percent and cooperative social capital adds another 5 percent.
Adult Daily Life Analysis by Detecting Outliers and Top-K Queries

outliers has attracted the attention of researchers ever since it was found useful to uncover latent, unexpected, interested and previously unknown knowledge. There are many real world utilities of outlier detection such as change monitoring, rare event discovery, fraud detection, and event change detection, alarm systems, revealing trend occurrences and finding strange patterns. Time series analysis can help detect outliers and discover knowhow for efficient decision making. Outlier detection mechanisms that came into existence dealt with plethora of problems. In this paper, our focus is on analyzing strange behaviours in activities of daily living. We proposed two approaches towards adult daily life analysis. Both are data mining approaches that extract knowledge from underlying dataset. Top-K probabilistic analysis and outlier detection are the two mechanisms used to analyze adult life. The top-k analysis brings about the prevalent behavioural dynamics in adult life while the outlier detection throws light into observations that are peculiar and do not match with other observations. We used a time series dataset named Activities of Daily Living (ADLs) collected from UCI machine learning repository. We built a prototype to demonstrate the proof of concept. The empirical results are encouraging.
Survey on segmentation of liver from CT images

Liver cancer is one of the most popular cancer diseases and causes a large amount of death every year. The chances for liver cancer in men and women have increased to 40% and 23% respectively. Segmentation of liver from images of the abdominal area is critical for diagnosis of tumor and for surgical procedures. Accurate detection of the type of the liver abnormality is highly essential for treatment planning which can minimize the fatal results. Accurate results, however, can be obtained only through computer aided automated systems. Besides being accurate, these techniques must converge quickly in order to apply them for real time applications. Many reports claim its work to be superior, but a complete comparative analysis is lacking in these works. In this survey paper, an extensive comparative analysis is performed to illustrate the merits and demerits of various available techniques. This work also explores the applicability of the techniques in liver segmentation from Computed Tomography images. The main objective of this work is to highlight the position of various automated techniques which can indirectly aid in developing novel techniques for solving the health care problem of the medical sector.
Subband approach for wideband self-interference cancellation in full-duplex transceiver

A specific characteristic for the isolator circuits used in small form-factor in-band full-duplex transceivers, used to attenuate the leakage of the transmit signal to the receive path (self-interference), is nonuniform performance over the wide frequency band as these circuits must tune at the operating frequency. Moreover active cancellation circuits are required in addition to the isolation circuit to attenuate the self-interference further. In this work an RF self-interference cancellation is proposed to attenuate further the remaining self-interference, on the top of achieved isolation, uniformly over the wide band. This approach divides the wideband signal into a number of narrower subbands and then self-interference cancellation is performed at each subband separately. This is an alternate approach to the previously proposed delay and attenuation network active RF self-interference cancellation. Simulation results indicate significant improvements in uniformly self-interference cancellation and system performance which is achieved in the expense of moderate extra loss.
Refinement of a Tool to Assess the Data Quality in Web Portals

The Internet is now firmly established as an environment for the administration, exchange and publication of data. To support this, a great variety of Web applications have appeared, among these web portals. Numerous users worldwide make use of Web portals to obtain information for different purposes. These users, or data consumers, need to ensure that this information is suitable for the use to which they wish to put it. PDQM (portal data quality model) is a model for the assessment of portal data quality. It has been implemented in the PoDQA tool (portal data quality assessment tool), which can be accessed at http://podqa.webportalqualitv. com. In this paper we present the various refinements that it has been necessary to make in order to obtain a tool which is stable and able to make accurate and efficient calculations of the elements needed to assess the quality of the data of a Web portal.
αE-catenin-dependent mechanotransduction is essential for proper convergent extension in zebrafish

ABSTRACT Cadherin complexes mediate cell-cell adhesion and are crucial for embryonic development. Besides their structural function, cadherin complexes also transduce tension across the junction-actomyosin axis into proportional biochemical responses. Central to this mechanotransduction is the stretching of the cadherin-F-actin-linker α-catenin, which opens its central domain for binding to effectors such as vinculin. Mechanical unfolding of α-catenin leads to force-dependent reinforcement of cadherin-based junctions as studied in cell culture. The importance of cadherin mechanotransduction for embryonic development has not been studied yet. Here we used TALEN-mediated gene disruption to perturb endogenous αE-catenin in zebrafish development. Zygotic α-catenin mutants fail to maintain their epithelial barrier, resulting in tissue rupturing. We then specifically disrupted mechanotransduction, while maintaining cadherin adhesion, by expressing an αE-catenin construct in which the mechanosensitive domain was perturbed. Expression of either wild-type or mechano-defective α-catenin fully rescues barrier function in α-catenin mutants; however, expression of mechano-defective α-catenin also induces convergence and extension defects. Specifically, the polarization of cadherin-dependent, lamellipodia-driven cell migration of the lateral mesoderm was lost. These results indicate that cadherin mechanotransduction is crucial for proper zebrafish morphogenesis, and uncover one of the essential processes affected by its perturbation. Summary: Cadherin adhesions transduce tension across the junction-actomyosin axis into proportional biochemical responses via α-catenin. Here we show for the first time how this function of the cadherin complex is important during zebrafish morphogenesis.
Exploiting Metric Structure for Efficient Private Query Release

We consider the problem of privately answering queries defined on databases which are collections of points belonging to some metric space. We give simple, computationally efficient algorithms for answering distance queries defined over an arbitrary metric. Distance queries are specified by points in the metric space, and ask for the average distance from the query point to the points contained in the database, according to the specified metric. Our algorithms run efficiently in the database size and the dimension of the space, and operate in both the online query release setting, and the offline setting in which they must in polynomial time generate a fixed data structure which can answer all queries of interest. This represents one of the first subclasses of linear queries for which efficient algorithms are known for the private query release problem, circumventing known hardness results for generic linear queries.
POTENTIAL BENEFITS FROM THE USE OF SCANNER DATA IN THE CONSTRUCTION OF THE CPI

Currently, the US Bureau of Labor Statistics(BLS) sends field representatives to manually collect price quotes when constructing the Consumer Price Index(CPI). Many of the nation’s retailing outlets now have scanner check-outs that record their prices and expenditures. There is an opportunity for BLS to use these scanner records in the construction of its CPI. Some of the potential benefits from the use of scanner data are the ability to construct superlative indices such as the Törnqvist, to reduce formula bias, to reduce the mean squared error of the CPI, to incorporate the introduction of new products on a more timely biases, to provide a more accurate sampling procedure within stores and to account for expenditure shifts across outlets. I discuss each potential benefit separately in this article.
Enhancing Leaders’ Emotional Intelligence: Why Mindfulness?

As an adult-learning practitioner, I am intrigued by the process of helping learners, especially leaders, develop through the affective domain. Although leaders in my experience often comprehend the lexicon of emotional intelligence (EI), incorporating EI for leadership development has proven elusive. While research suggests EI is difficult to develop in people, this paper argues that leaders can do so by tapping into a higher mental and emotional state, and that such mindfulness practices can enhance leaders’ EI. Findings suggest that (a) EI positively impacts leadership effectiveness, (b) mindfulness can serve as a method for growing EI, and (c) mindfulness can enhance the practice of leadership. The paper offers recommendations for adultlearning practitioners who create EIand mindfulness-based training and provides directions for future research.
On next Generation User Interfaces for Computer-aided Design (cad) Systems

This paper presents a review of diierent types of user interfaces used in current state of the art commercial and research prototype CAD systems. Two diierent perspectives are taken: one from the interface point of view and the other from the interaction point of view. This paper is not intended to be an exhaustive survey on the subject, but rather an assessment of a current trend. Then, I discuss and comment on basic requirements of CAD user interfaces and make a projection on future directions in CAD user interfaces, particularly for mechanical CAD systems.
OSCAR: a deployable adaptive mobile bandwidth sharing and aggregation system

The exponential increase in mobile data demand coupled with the rapid deployment of various wireless access technologies have led to the proliferation of multi-interface enabled devices. As a result, researchers focused on exploiting the available interfaces on such devices in both solitary and collaborative forms. Unfortunately, the proposed systems, that exploit these interfaces, face a formidable deployment barrier. Therefore, in this work, we present OSCAR, a system that exploits multiple network interfaces on modern mobile devices. OSCAR provides a set of mechanisms for sharing bandwidth across multiple collaborating devices and enables this collaboration by providing users with sharing incentives. We present an overview of the system coupled with the OSCAR scheduler. We evaluate OSCAR via implementation on Linux and compare our results to the current optimal achievable throughput. Our preliminary results shows that in the throughput maximization mode, we provide up to 150% enhancement compared to using only one interface, without any changes to legacy servers.
An efficient FPGA implementation of the Harris corner feature detector

In computer vision, the Harris corner feature detector is one of the most essential early steps in many useful applications such as 3-D reconstruction. However, if it is implemented in software, the resulting code is probably not able to be executed in real time under low cost mobile processors. This paper proposes an efficient hardware approach that offloads the repetitive feature extraction procedures into logic gates hence the solution is low cost to produce and low power to operate compared to its software counterpart. In this project, the system is built and tested on a popular prototyping FPGA (Field programmable Gate Arrays) platform (Zed-board) with a small FPGA device. The experiments and demos show that the speed and accuracy of the feature detector are good enough for many real world applications.
Working with Diverse Youth: Guidelines for Achieving Youth Cultural Competency in Recreation Services

There has been a growing interest among recreational services in becoming culturally competent in order to work with diverse communities. Many professionals have knowledge regarding cultural sensitivity or awareness of the importance of cultural differences when providing services. And even more have participated in culture-specific training to acquire skills needed to provide these services. However, there is now a need to view cultural competency as a system or quality of care issue where each recreation service provider is held accountable to providing responsive and culturally competent services. Given the demographic changes regarding people of color within the United States, much interest has centered on providing culturally appropriate approaches to recreation services. Why? Because we are continually reminded that the traditional “minority” groups will be the “majority” in the very near future. This is especially true when attempting to provide services to children and youth of color, where traditional programs and services developed by and for the European American culture have often failed to engage youth of color. Issues around misinterpretations, lack of knowledge, and racism exist for those with cultures other than European American and can lead many youth of color to appear to be disinterested and/or rebellious regarding recreational programs and services when those determinations may be inaccurate. Recent research also illustrates that youth of color benefit from strong culture-specific programs and from staff who are caring and sensitive regarding racial and cultural differences (Belgrave, Chase-Vaughn, Gray, Addison and Cherry, 2005). With the rising costs of delivering services and the increased emphasis on providing quality services, professional associations, local government parks and recreation departments, non-profit agencies and program funders are increasingly seeking definitions, assessments and guidelines for addressing cultural competency. Guidelines are important because they provide professionals a systematic source of recommended behaviors to follow. This paper is a starting point for the field by suggesting specific guidelines for becoming culturally competent when working with youth of color. As advocated in this paper, changes must take place not only in the provision of direct services but also in professional-community relations and, ultimately in the way recreational professionals and others are prepared to work with youth of color. The guidelines provided here emphasize a sociocultural framework that considers values, interactional styles, and cultural expectations as well as the influence of the family, cultural, social and environmental contextual factors.
Application of hidden Markov modeling to the characterization of transcription factor binding sites

The regulation of gene transcription in eukaryotes, though not well understood, is known to involve sequence specific recognition and binding of short DNA sequences (transcription elements) by regulatory proteins (transcription factors). The cis acting transcription elements can be found at a considerable distance upstream or downstream from the gene they control and are often orientation independent. The transcriptional state of a gene is thought to require the formation of a "transcription complex" where multiple elements and factors interact through DNA-protein and protein-protein binding events. As a step towards elucidating the process of transcription complex formation, the authors have developed a model of transcription factor-DNA binding based on Hidden Markov Models (HMM). The parameters of the HMM are probabilities from which an entropy measure can be calculated that characterizes the information requirements of the binding process. Alignment of the set of transcription elements against the HMM also yields information regarding the conserved positions recognized by the transcription factor. Finally, they examine the relationship between the entropy of the model and the accuracy of the model when used for pattern recognition: in general, pattern recognition efficient when the conservation of bases in the sites is fairly high. <<ETX>>
Extending Hadoop's Yarn Scheduler Load Simulator with a highly realistic network & traffic model

Research on accelerating big-data applications can be divided into job scheduling and flow scheduling. Job scheduling focuses on the timely and spacial placement of jobs on execution units. Flow scheduling, on the other hand, concentrates on routing of flows originating from actively running jobs. Although both job scheduling and flow scheduling work on accelerating big-data applications, their view on the problem and the available information is very different. We propose a new simulation tool to evaluate ideas that jointly solve the job and flow scheduling problem for big-data applications. Our tool combines the Yarn Scheduler Load Simulator with the distributed network emulator MaxiNet. With our work, the interdependency between the network and the jobs running on top of it can be included into the evaluation of new ideas, leveraging research on big-data applications with joint job and flow scheduling.